----------- Configuration Arguments ----------- gpus: None heter_worker_num: None heter_workers: http_port: None ips: 127.0.0.1 log_dir: log nproc_per_node: None run_mode: None server_num: None servers: training_script: train.py training_script_args: ['--do_eval', '--use_vdl', '--config', 'configs/segformer/segformer_b3_cityscapes_1024x1024_160k.yml', '--save_interval', '4000', '--num_workers', '6', '--save_dir', 'log/segformer_b3/exp1/'] worker_num: None workers: ------------------------------------------------ WARNING 2021-08-21 12:48:04,470 launch.py:359] Not found distinct arguments and compiled with cuda or xpu. Default use collective mode launch train in GPU mode! INFO 2021-08-21 12:48:04,471 launch_utils.py:510] Local start 4 processes. First process distributed environment info (Only For Debug): +=======================================================================================+ | Distributed Envs Value | +---------------------------------------------------------------------------------------+ | PADDLE_TRAINER_ID 0 | | PADDLE_CURRENT_ENDPOINT 127.0.0.1:37337 | | PADDLE_TRAINERS_NUM 4 | | PADDLE_TRAINER_ENDPOINTS ... 0.1:46426,127.0.0.1:47659,127.0.0.1:54515| | PADDLE_RANK_IN_NODE 0 | | PADDLE_LOCAL_DEVICE_IDS 0 | | PADDLE_WORLD_DEVICE_IDS 0,1,2,3 | | FLAGS_selected_gpus 0 | | FLAGS_selected_accelerators 0 | +=======================================================================================+ INFO 2021-08-21 12:48:04,471 launch_utils.py:514] details abouts PADDLE_TRAINER_ENDPOINTS can be found in log/endpoints.log, and detail running logs maybe found in log/workerlog.0 launch proc_id:58280 idx:0 launch proc_id:58283 idx:1 launch proc_id:58287 idx:2 launch proc_id:58291 idx:3 which: no nvcc in (/ssd1/home/wuzewu/miniconda3/envs/paddle2/bin:/ssd1/home/wuzewu/miniconda3/condabin:/usr/lib64/qt-3.3/bin:/usr/local/bin:/usr/bin:/opt/bin:/home/opt/bin:/usr/local/sbin:/usr/sbin:/opt/bin:/home/opt/bin:/ssd1/home/wuzewu/.local/bin:/ssd1/home/wuzewu/bin:/opt/bin:/home/opt/bin) 2021-08-21 12:48:05 [INFO] ------------Environment Information------------- platform: Linux-3.10.0-1062.18.1.el7.x86_64-x86_64-with-centos-7.7.1908-Core Python: 3.7.0 (default, Oct 9 2018, 10:31:47) [GCC 7.3.0] Paddle compiled with cuda: True NVCC: Cuda compilation tools, release 10.0, V10.0.130 cudnn: 7.6 GPUs used: 4 CUDA_VISIBLE_DEVICES: 4,5,6,7 GPU: ['GPU 0: Tesla V100-SXM2-32GB', 'GPU 1: Tesla V100-SXM2-32GB', 'GPU 2: Tesla V100-SXM2-32GB', 'GPU 3: Tesla V100-SXM2-32GB', 'GPU 4: Tesla V100-SXM2-32GB', 'GPU 5: Tesla V100-SXM2-32GB', 'GPU 6: Tesla V100-SXM2-32GB', 'GPU 7: Tesla V100-SXM2-32GB'] GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-39) PaddlePaddle: 2.1.2 OpenCV: 4.4.0 ------------------------------------------------ 2021-08-21 12:48:06 [INFO] ---------------Config Information--------------- batch_size: 2 iters: 160000 loss: coef: - 1 types: - ignore_index: 255 type: CrossEntropyLoss lr_scheduler: end_lr: 0 learning_rate: 6.0e-05 power: 1 type: PolynomialDecay model: num_classes: 19 pretrained: https://bj.bcebos.com/paddleseg/dygraph/mix_vision_transformer_b3.tar.gz type: SegFormer_B3 optimizer: beta1: 0.9 beta2: 0.999 type: AdamW weight_decay: 0.01 test_config: crop_size: - 1024 - 1024 is_slide: true stride: - 768 - 768 train_dataset: dataset_root: data/cityscapes mode: train transforms: - max_scale_factor: 2.0 min_scale_factor: 0.5 scale_step_size: 0.25 type: ResizeStepScaling - crop_size: - 1024 - 1024 type: RandomPaddingCrop - type: RandomHorizontalFlip - brightness_range: 0.4 contrast_range: 0.4 saturation_range: 0.4 type: RandomDistort - type: Normalize type: Cityscapes val_dataset: dataset_root: data/cityscapes mode: val transforms: - type: Normalize type: Cityscapes ------------------------------------------------ W0821 12:48:06.105127 58280 device_context.cc:404] Please NOTE: device: 0, GPU Compute Capability: 7.0, Driver API Version: 10.2, Runtime API Version: 10.2 W0821 12:48:06.105190 58280 device_context.cc:422] device: 0, cuDNN Version: 7.6. 2021-08-21 12:48:11 [INFO] Loading pretrained model from https://bj.bcebos.com/paddleseg/dygraph/mix_vision_transformer_b3.tar.gz 2021-08-21 12:48:11 [WARNING] linear_c4.proj.weight is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_c4.proj.bias is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_c3.proj.weight is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_c3.proj.bias is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_c2.proj.weight is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_c2.proj.bias is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_c1.proj.weight is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_c1.proj.bias is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_fuse._conv.weight is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_fuse._batch_norm.weight is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_fuse._batch_norm.bias is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_fuse._batch_norm._mean is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_fuse._batch_norm._variance is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_pred.weight is not in pretrained model 2021-08-21 12:48:11 [WARNING] linear_pred.bias is not in pretrained model 2021-08-21 12:48:12 [INFO] There are 572/587 variables loaded into SegFormer. W0821 12:48:12.022748 58280 gen_comm_id_helper.cc:120] connect addr=127.0.0.1:46426 failed 1 times with reason: Connection refused retry after 0.5 seconds I0821 12:48:12.523286 58280 nccl_context.cc:74] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 0 I0821 12:48:13.122448 58280 nccl_context.cc:107] init nccl context nranks: 4 local rank: 0 gpu id: 0 ring id: 10 2021-08-21 12:48:13,511-INFO: [topology.py:152:__init__] HybridParallelInfo: rank_id: 0, dp_degree: 4, mp_degree: 1, pp_degree: 1, dp_group: [0, 1, 2, 3], mp_group: [0], pp_group: [0], check/clip group: [0] /ssd1/home/wuzewu/miniconda3/envs/paddle2/lib/python3.7/site-packages/paddle/fluid/dygraph/math_op_patch.py:239: UserWarning: The dtype of left and right variables are not the same, left dtype is paddle.float32, but right dtype is paddle.int64, the right dtype will convert to paddle.float32 format(lhs_dtype, rhs_dtype, lhs_dtype)) 2021-08-21 12:48:32 [INFO] [TRAIN] epoch: 1, iter: 10/160000, loss: 2.0875, lr: 0.000060, batch_cost: 1.9055, reader_cost: 0.45015, ips: 1.0496 samples/sec | ETA 84:41:04 2021-08-21 12:48:44 [INFO] [TRAIN] epoch: 1, iter: 20/160000, loss: 0.8069, lr: 0.000060, batch_cost: 1.2109, reader_cost: 0.00075, ips: 1.6517 samples/sec | ETA 53:48:37 2021-08-21 12:48:57 [INFO] [TRAIN] epoch: 1, iter: 30/160000, loss: 0.7188, lr: 0.000060, batch_cost: 1.2073, reader_cost: 0.00021, ips: 1.6566 samples/sec | ETA 53:38:46 2021-08-21 12:49:09 [INFO] [TRAIN] epoch: 1, iter: 40/160000, loss: 0.5596, lr: 0.000060, batch_cost: 1.2068, reader_cost: 0.00022, ips: 1.6572 samples/sec | ETA 53:37:25 2021-08-21 12:49:21 [INFO] [TRAIN] epoch: 1, iter: 50/160000, loss: 0.5014, lr: 0.000060, batch_cost: 1.2184, reader_cost: 0.00021, ips: 1.6415 samples/sec | ETA 54:08:07 2021-08-21 12:49:33 [INFO] [TRAIN] epoch: 1, iter: 60/160000, loss: 0.3649, lr: 0.000060, batch_cost: 1.2304, reader_cost: 0.00021, ips: 1.6255 samples/sec | ETA 54:39:45 2021-08-21 12:49:45 [INFO] [TRAIN] epoch: 1, iter: 70/160000, loss: 0.3408, lr: 0.000060, batch_cost: 1.2275, reader_cost: 0.00022, ips: 1.6293 samples/sec | ETA 54:31:57 2021-08-21 12:49:58 [INFO] [TRAIN] epoch: 1, iter: 80/160000, loss: 0.4132, lr: 0.000060, batch_cost: 1.2245, reader_cost: 0.00021, ips: 1.6333 samples/sec | ETA 54:23:46 2021-08-21 12:50:10 [INFO] [TRAIN] epoch: 1, iter: 90/160000, loss: 0.4488, lr: 0.000060, batch_cost: 1.2243, reader_cost: 0.00023, ips: 1.6336 samples/sec | ETA 54:22:55 2021-08-21 12:50:22 [INFO] [TRAIN] epoch: 1, iter: 100/160000, loss: 0.3348, lr: 0.000060, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6325 samples/sec | ETA 54:24:56 2021-08-21 12:50:34 [INFO] [TRAIN] epoch: 1, iter: 110/160000, loss: 0.3720, lr: 0.000060, batch_cost: 1.2297, reader_cost: 0.00023, ips: 1.6264 samples/sec | ETA 54:36:54 2021-08-21 12:50:47 [INFO] [TRAIN] epoch: 1, iter: 120/160000, loss: 0.3599, lr: 0.000060, batch_cost: 1.2192, reader_cost: 0.00020, ips: 1.6404 samples/sec | ETA 54:08:49 2021-08-21 12:50:59 [INFO] [TRAIN] epoch: 1, iter: 130/160000, loss: 0.4357, lr: 0.000060, batch_cost: 1.2236, reader_cost: 0.00024, ips: 1.6345 samples/sec | ETA 54:20:23 2021-08-21 12:51:11 [INFO] [TRAIN] epoch: 1, iter: 140/160000, loss: 0.4660, lr: 0.000060, batch_cost: 1.2578, reader_cost: 0.00022, ips: 1.5901 samples/sec | ETA 55:51:15 2021-08-21 12:51:24 [INFO] [TRAIN] epoch: 1, iter: 150/160000, loss: 0.3529, lr: 0.000060, batch_cost: 1.2286, reader_cost: 0.00021, ips: 1.6279 samples/sec | ETA 54:33:13 2021-08-21 12:51:36 [INFO] [TRAIN] epoch: 1, iter: 160/160000, loss: 0.3551, lr: 0.000060, batch_cost: 1.2326, reader_cost: 0.00022, ips: 1.6226 samples/sec | ETA 54:43:43 2021-08-21 12:51:48 [INFO] [TRAIN] epoch: 1, iter: 170/160000, loss: 0.3525, lr: 0.000060, batch_cost: 1.2313, reader_cost: 0.00023, ips: 1.6243 samples/sec | ETA 54:39:56 2021-08-21 12:52:01 [INFO] [TRAIN] epoch: 1, iter: 180/160000, loss: 0.4878, lr: 0.000060, batch_cost: 1.2379, reader_cost: 0.00022, ips: 1.6157 samples/sec | ETA 54:57:15 2021-08-21 12:52:13 [INFO] [TRAIN] epoch: 1, iter: 190/160000, loss: 0.2986, lr: 0.000060, batch_cost: 1.2393, reader_cost: 0.00021, ips: 1.6139 samples/sec | ETA 55:00:45 2021-08-21 12:52:25 [INFO] [TRAIN] epoch: 1, iter: 200/160000, loss: 0.3052, lr: 0.000060, batch_cost: 1.2274, reader_cost: 0.00020, ips: 1.6295 samples/sec | ETA 54:28:50 2021-08-21 12:52:38 [INFO] [TRAIN] epoch: 1, iter: 210/160000, loss: 0.2900, lr: 0.000060, batch_cost: 1.2318, reader_cost: 0.00020, ips: 1.6236 samples/sec | ETA 54:40:35 2021-08-21 12:52:50 [INFO] [TRAIN] epoch: 1, iter: 220/160000, loss: 0.2341, lr: 0.000060, batch_cost: 1.2235, reader_cost: 0.00022, ips: 1.6346 samples/sec | ETA 54:18:17 2021-08-21 12:53:02 [INFO] [TRAIN] epoch: 1, iter: 230/160000, loss: 0.2794, lr: 0.000060, batch_cost: 1.2443, reader_cost: 0.00021, ips: 1.6073 samples/sec | ETA 55:13:26 2021-08-21 12:53:15 [INFO] [TRAIN] epoch: 1, iter: 240/160000, loss: 0.3234, lr: 0.000060, batch_cost: 1.2239, reader_cost: 0.00022, ips: 1.6341 samples/sec | ETA 54:18:57 2021-08-21 12:53:27 [INFO] [TRAIN] epoch: 1, iter: 250/160000, loss: 0.3923, lr: 0.000060, batch_cost: 1.2300, reader_cost: 0.00021, ips: 1.6260 samples/sec | ETA 54:34:52 2021-08-21 12:53:39 [INFO] [TRAIN] epoch: 1, iter: 260/160000, loss: 0.3474, lr: 0.000060, batch_cost: 1.2327, reader_cost: 0.00021, ips: 1.6224 samples/sec | ETA 54:41:58 2021-08-21 12:53:52 [INFO] [TRAIN] epoch: 1, iter: 270/160000, loss: 0.3246, lr: 0.000060, batch_cost: 1.2374, reader_cost: 0.00023, ips: 1.6163 samples/sec | ETA 54:54:03 2021-08-21 12:54:04 [INFO] [TRAIN] epoch: 1, iter: 280/160000, loss: 0.3719, lr: 0.000060, batch_cost: 1.2432, reader_cost: 0.00024, ips: 1.6087 samples/sec | ETA 55:09:28 2021-08-21 12:54:16 [INFO] [TRAIN] epoch: 1, iter: 290/160000, loss: 0.2631, lr: 0.000060, batch_cost: 1.2321, reader_cost: 0.00021, ips: 1.6233 samples/sec | ETA 54:39:34 2021-08-21 12:54:29 [INFO] [TRAIN] epoch: 1, iter: 300/160000, loss: 0.3345, lr: 0.000060, batch_cost: 1.2162, reader_cost: 0.00025, ips: 1.6445 samples/sec | ETA 53:56:59 2021-08-21 12:54:41 [INFO] [TRAIN] epoch: 1, iter: 310/160000, loss: 0.2787, lr: 0.000060, batch_cost: 1.2272, reader_cost: 0.00022, ips: 1.6297 samples/sec | ETA 54:26:09 2021-08-21 12:54:53 [INFO] [TRAIN] epoch: 1, iter: 320/160000, loss: 0.2682, lr: 0.000060, batch_cost: 1.2125, reader_cost: 0.00022, ips: 1.6494 samples/sec | ETA 53:46:57 2021-08-21 12:55:05 [INFO] [TRAIN] epoch: 1, iter: 330/160000, loss: 0.2649, lr: 0.000060, batch_cost: 1.2254, reader_cost: 0.00021, ips: 1.6322 samples/sec | ETA 54:20:53 2021-08-21 12:55:18 [INFO] [TRAIN] epoch: 1, iter: 340/160000, loss: 0.3804, lr: 0.000060, batch_cost: 1.2496, reader_cost: 0.00022, ips: 1.6005 samples/sec | ETA 55:25:07 2021-08-21 12:55:30 [INFO] [TRAIN] epoch: 1, iter: 350/160000, loss: 0.2651, lr: 0.000060, batch_cost: 1.2200, reader_cost: 0.00021, ips: 1.6393 samples/sec | ETA 54:06:15 2021-08-21 12:55:42 [INFO] [TRAIN] epoch: 1, iter: 360/160000, loss: 0.2304, lr: 0.000060, batch_cost: 1.2512, reader_cost: 0.00022, ips: 1.5985 samples/sec | ETA 55:29:00 2021-08-21 12:55:54 [INFO] [TRAIN] epoch: 1, iter: 370/160000, loss: 0.3030, lr: 0.000060, batch_cost: 1.1987, reader_cost: 0.00015, ips: 1.6685 samples/sec | ETA 53:09:06 2021-08-21 12:56:09 [INFO] [TRAIN] epoch: 2, iter: 380/160000, loss: 0.2381, lr: 0.000060, batch_cost: 1.4858, reader_cost: 0.22299, ips: 1.3460 samples/sec | ETA 65:52:50 2021-08-21 12:56:22 [INFO] [TRAIN] epoch: 2, iter: 390/160000, loss: 0.2882, lr: 0.000060, batch_cost: 1.2258, reader_cost: 0.00095, ips: 1.6316 samples/sec | ETA 54:20:52 2021-08-21 12:56:34 [INFO] [TRAIN] epoch: 2, iter: 400/160000, loss: 0.1889, lr: 0.000060, batch_cost: 1.2321, reader_cost: 0.00021, ips: 1.6232 samples/sec | ETA 54:37:29 2021-08-21 12:56:46 [INFO] [TRAIN] epoch: 2, iter: 410/160000, loss: 0.4176, lr: 0.000060, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6283 samples/sec | ETA 54:27:04 2021-08-21 12:56:58 [INFO] [TRAIN] epoch: 2, iter: 420/160000, loss: 0.2493, lr: 0.000060, batch_cost: 1.2266, reader_cost: 0.00021, ips: 1.6305 samples/sec | ETA 54:22:18 2021-08-21 12:57:11 [INFO] [TRAIN] epoch: 2, iter: 430/160000, loss: 0.2350, lr: 0.000060, batch_cost: 1.2301, reader_cost: 0.00021, ips: 1.6258 samples/sec | ETA 54:31:34 2021-08-21 12:57:23 [INFO] [TRAIN] epoch: 2, iter: 440/160000, loss: 0.2589, lr: 0.000060, batch_cost: 1.2155, reader_cost: 0.00021, ips: 1.6454 samples/sec | ETA 53:52:32 2021-08-21 12:57:35 [INFO] [TRAIN] epoch: 2, iter: 450/160000, loss: 0.2126, lr: 0.000060, batch_cost: 1.2198, reader_cost: 0.00021, ips: 1.6397 samples/sec | ETA 54:03:34 2021-08-21 12:57:47 [INFO] [TRAIN] epoch: 2, iter: 460/160000, loss: 0.2009, lr: 0.000060, batch_cost: 1.2095, reader_cost: 0.00021, ips: 1.6536 samples/sec | ETA 53:36:02 2021-08-21 12:57:59 [INFO] [TRAIN] epoch: 2, iter: 470/160000, loss: 0.2765, lr: 0.000060, batch_cost: 1.2202, reader_cost: 0.00021, ips: 1.6390 samples/sec | ETA 54:04:26 2021-08-21 12:58:11 [INFO] [TRAIN] epoch: 2, iter: 480/160000, loss: 0.3694, lr: 0.000060, batch_cost: 1.2077, reader_cost: 0.00020, ips: 1.6560 samples/sec | ETA 53:30:53 2021-08-21 12:58:24 [INFO] [TRAIN] epoch: 2, iter: 490/160000, loss: 0.3181, lr: 0.000060, batch_cost: 1.2377, reader_cost: 0.00020, ips: 1.6159 samples/sec | ETA 54:50:20 2021-08-21 12:58:36 [INFO] [TRAIN] epoch: 2, iter: 500/160000, loss: 0.2152, lr: 0.000060, batch_cost: 1.2258, reader_cost: 0.00021, ips: 1.6316 samples/sec | ETA 54:18:27 2021-08-21 12:58:48 [INFO] [TRAIN] epoch: 2, iter: 510/160000, loss: 0.2581, lr: 0.000060, batch_cost: 1.2265, reader_cost: 0.00022, ips: 1.6307 samples/sec | ETA 54:20:14 2021-08-21 12:59:01 [INFO] [TRAIN] epoch: 2, iter: 520/160000, loss: 0.2611, lr: 0.000060, batch_cost: 1.2366, reader_cost: 0.00022, ips: 1.6174 samples/sec | ETA 54:46:46 2021-08-21 12:59:13 [INFO] [TRAIN] epoch: 2, iter: 530/160000, loss: 0.2498, lr: 0.000060, batch_cost: 1.2251, reader_cost: 0.00023, ips: 1.6325 samples/sec | ETA 54:16:14 2021-08-21 12:59:25 [INFO] [TRAIN] epoch: 2, iter: 540/160000, loss: 0.2957, lr: 0.000060, batch_cost: 1.2271, reader_cost: 0.00022, ips: 1.6299 samples/sec | ETA 54:21:06 2021-08-21 12:59:37 [INFO] [TRAIN] epoch: 2, iter: 550/160000, loss: 0.3548, lr: 0.000060, batch_cost: 1.2166, reader_cost: 0.00020, ips: 1.6440 samples/sec | ETA 53:52:59 2021-08-21 12:59:50 [INFO] [TRAIN] epoch: 2, iter: 560/160000, loss: 0.3010, lr: 0.000060, batch_cost: 1.2125, reader_cost: 0.00021, ips: 1.6495 samples/sec | ETA 53:42:00 2021-08-21 13:00:02 [INFO] [TRAIN] epoch: 2, iter: 570/160000, loss: 0.2921, lr: 0.000060, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 54:12:57 2021-08-21 13:00:14 [INFO] [TRAIN] epoch: 2, iter: 580/160000, loss: 0.2202, lr: 0.000060, batch_cost: 1.2174, reader_cost: 0.00022, ips: 1.6428 samples/sec | ETA 53:54:41 2021-08-21 13:00:26 [INFO] [TRAIN] epoch: 2, iter: 590/160000, loss: 0.2361, lr: 0.000060, batch_cost: 1.2261, reader_cost: 0.00022, ips: 1.6312 samples/sec | ETA 54:17:27 2021-08-21 13:00:39 [INFO] [TRAIN] epoch: 2, iter: 600/160000, loss: 0.3146, lr: 0.000060, batch_cost: 1.2324, reader_cost: 0.00025, ips: 1.6229 samples/sec | ETA 54:33:58 2021-08-21 13:00:51 [INFO] [TRAIN] epoch: 2, iter: 610/160000, loss: 0.2380, lr: 0.000060, batch_cost: 1.2559, reader_cost: 0.00023, ips: 1.5925 samples/sec | ETA 55:36:20 2021-08-21 13:01:04 [INFO] [TRAIN] epoch: 2, iter: 620/160000, loss: 0.2764, lr: 0.000060, batch_cost: 1.2434, reader_cost: 0.00022, ips: 1.6085 samples/sec | ETA 55:02:46 2021-08-21 13:01:16 [INFO] [TRAIN] epoch: 2, iter: 630/160000, loss: 0.2238, lr: 0.000060, batch_cost: 1.2150, reader_cost: 0.00021, ips: 1.6461 samples/sec | ETA 53:47:13 2021-08-21 13:01:28 [INFO] [TRAIN] epoch: 2, iter: 640/160000, loss: 0.1924, lr: 0.000060, batch_cost: 1.2190, reader_cost: 0.00022, ips: 1.6407 samples/sec | ETA 53:57:34 2021-08-21 13:01:40 [INFO] [TRAIN] epoch: 2, iter: 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[INFO] [TRAIN] epoch: 2, iter: 710/160000, loss: 0.3219, lr: 0.000060, batch_cost: 1.2083, reader_cost: 0.00022, ips: 1.6552 samples/sec | ETA 53:27:57 2021-08-21 13:03:06 [INFO] [TRAIN] epoch: 2, iter: 720/160000, loss: 0.3169, lr: 0.000060, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 54:02:32 2021-08-21 13:03:18 [INFO] [TRAIN] epoch: 2, iter: 730/160000, loss: 0.2536, lr: 0.000060, batch_cost: 1.2086, reader_cost: 0.00022, ips: 1.6549 samples/sec | ETA 53:28:06 2021-08-21 13:03:30 [INFO] [TRAIN] epoch: 2, iter: 740/160000, loss: 0.2298, lr: 0.000060, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 52:46:51 2021-08-21 13:03:45 [INFO] [TRAIN] epoch: 3, iter: 750/160000, loss: 0.2479, lr: 0.000060, batch_cost: 1.5038, reader_cost: 0.24360, ips: 1.3300 samples/sec | ETA 66:31:16 2021-08-21 13:03:57 [INFO] [TRAIN] epoch: 3, iter: 760/160000, loss: 0.1866, lr: 0.000060, batch_cost: 1.2218, reader_cost: 0.00072, ips: 1.6370 samples/sec | ETA 54:02:32 2021-08-21 13:04:10 [INFO] [TRAIN] epoch: 3, iter: 770/160000, loss: 0.2343, lr: 0.000060, batch_cost: 1.2326, reader_cost: 0.00022, ips: 1.6226 samples/sec | ETA 54:31:01 2021-08-21 13:04:22 [INFO] [TRAIN] epoch: 3, iter: 780/160000, loss: 0.2164, lr: 0.000060, batch_cost: 1.2297, reader_cost: 0.00022, ips: 1.6264 samples/sec | ETA 54:23:11 2021-08-21 13:04:34 [INFO] [TRAIN] epoch: 3, iter: 790/160000, loss: 0.1993, lr: 0.000060, batch_cost: 1.2436, reader_cost: 0.00023, ips: 1.6082 samples/sec | ETA 54:59:53 2021-08-21 13:04:46 [INFO] [TRAIN] epoch: 3, iter: 800/160000, loss: 0.3192, lr: 0.000060, batch_cost: 1.2179, reader_cost: 0.00021, ips: 1.6421 samples/sec | ETA 53:51:34 2021-08-21 13:04:59 [INFO] [TRAIN] epoch: 3, iter: 810/160000, loss: 0.1661, lr: 0.000060, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6391 samples/sec | ETA 53:57:16 2021-08-21 13:05:11 [INFO] [TRAIN] epoch: 3, iter: 820/160000, loss: 0.2553, lr: 0.000060, batch_cost: 1.2263, reader_cost: 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batch_cost: 1.2322, reader_cost: 0.00023, ips: 1.6231 samples/sec | ETA 54:27:50 2021-08-21 13:06:37 [INFO] [TRAIN] epoch: 3, iter: 890/160000, loss: 0.2761, lr: 0.000060, batch_cost: 1.2132, reader_cost: 0.00023, ips: 1.6486 samples/sec | ETA 53:37:04 2021-08-21 13:06:49 [INFO] [TRAIN] epoch: 3, iter: 900/160000, loss: 0.1972, lr: 0.000060, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 54:07:18 2021-08-21 13:07:01 [INFO] [TRAIN] epoch: 3, iter: 910/160000, loss: 0.2271, lr: 0.000060, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6338 samples/sec | ETA 54:05:43 2021-08-21 13:07:13 [INFO] [TRAIN] epoch: 3, iter: 920/160000, loss: 0.1720, lr: 0.000060, batch_cost: 1.2196, reader_cost: 0.00020, ips: 1.6399 samples/sec | ETA 53:53:36 2021-08-21 13:07:26 [INFO] [TRAIN] epoch: 3, iter: 930/160000, loss: 0.1581, lr: 0.000060, batch_cost: 1.2384, reader_cost: 0.00021, ips: 1.6150 samples/sec | ETA 54:43:05 2021-08-21 13:07:38 [INFO] [TRAIN] epoch: 3, iter: 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[INFO] [TRAIN] epoch: 3, iter: 1000/160000, loss: 0.2029, lr: 0.000060, batch_cost: 1.2188, reader_cost: 0.00021, ips: 1.6410 samples/sec | ETA 53:49:47 2021-08-21 13:09:04 [INFO] [TRAIN] epoch: 3, iter: 1010/160000, loss: 0.2366, lr: 0.000060, batch_cost: 1.2324, reader_cost: 0.00023, ips: 1.6229 samples/sec | ETA 54:25:35 2021-08-21 13:09:16 [INFO] [TRAIN] epoch: 3, iter: 1020/160000, loss: 0.1758, lr: 0.000060, batch_cost: 1.2467, reader_cost: 0.00024, ips: 1.6042 samples/sec | ETA 55:03:24 2021-08-21 13:09:29 [INFO] [TRAIN] epoch: 3, iter: 1030/160000, loss: 0.2201, lr: 0.000060, batch_cost: 1.2342, reader_cost: 0.00021, ips: 1.6205 samples/sec | ETA 54:30:03 2021-08-21 13:09:41 [INFO] [TRAIN] epoch: 3, iter: 1040/160000, loss: 0.1893, lr: 0.000060, batch_cost: 1.2306, reader_cost: 0.00020, ips: 1.6252 samples/sec | ETA 54:20:18 2021-08-21 13:09:53 [INFO] [TRAIN] epoch: 3, iter: 1050/160000, loss: 0.2311, lr: 0.000060, batch_cost: 1.2134, reader_cost: 0.00023, ips: 1.6482 samples/sec | ETA 53:34:36 2021-08-21 13:10:06 [INFO] [TRAIN] epoch: 3, iter: 1060/160000, loss: 0.1720, lr: 0.000060, batch_cost: 1.2369, reader_cost: 0.00024, ips: 1.6169 samples/sec | ETA 54:36:35 2021-08-21 13:10:18 [INFO] [TRAIN] epoch: 3, iter: 1070/160000, loss: 0.1768, lr: 0.000060, batch_cost: 1.2142, reader_cost: 0.00022, ips: 1.6472 samples/sec | ETA 53:36:07 2021-08-21 13:10:30 [INFO] [TRAIN] epoch: 3, iter: 1080/160000, loss: 0.1936, lr: 0.000060, batch_cost: 1.2231, reader_cost: 0.00023, ips: 1.6352 samples/sec | ETA 53:59:29 2021-08-21 13:10:42 [INFO] [TRAIN] epoch: 3, iter: 1090/160000, loss: 0.1607, lr: 0.000060, batch_cost: 1.2242, reader_cost: 0.00021, ips: 1.6337 samples/sec | ETA 54:02:17 2021-08-21 13:10:54 [INFO] [TRAIN] epoch: 3, iter: 1100/160000, loss: 0.2180, lr: 0.000060, batch_cost: 1.2096, reader_cost: 0.00021, ips: 1.6534 samples/sec | ETA 53:23:32 2021-08-21 13:11:06 [INFO] [TRAIN] epoch: 3, iter: 1110/160000, loss: 0.1666, lr: 0.000060, batch_cost: 1.1964, reader_cost: 0.00018, ips: 1.6716 samples/sec | ETA 52:48:20 2021-08-21 13:11:21 [INFO] [TRAIN] epoch: 4, iter: 1120/160000, loss: 0.2119, lr: 0.000060, batch_cost: 1.5038, reader_cost: 0.20354, ips: 1.3300 samples/sec | ETA 66:22:00 2021-08-21 13:11:33 [INFO] [TRAIN] epoch: 4, iter: 1130/160000, loss: 0.1643, lr: 0.000060, batch_cost: 1.2170, reader_cost: 0.00095, ips: 1.6434 samples/sec | ETA 53:42:27 2021-08-21 13:11:46 [INFO] [TRAIN] epoch: 4, iter: 1140/160000, loss: 0.1844, lr: 0.000060, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6377 samples/sec | ETA 53:53:25 2021-08-21 13:11:58 [INFO] [TRAIN] epoch: 4, iter: 1150/160000, loss: 0.1664, lr: 0.000060, batch_cost: 1.2138, reader_cost: 0.00021, ips: 1.6477 samples/sec | ETA 53:33:32 2021-08-21 13:12:10 [INFO] [TRAIN] epoch: 4, iter: 1160/160000, loss: 0.2600, lr: 0.000060, batch_cost: 1.2227, reader_cost: 0.00023, ips: 1.6358 samples/sec | ETA 53:56:48 2021-08-21 13:12:22 [INFO] [TRAIN] epoch: 4, iter: 1170/160000, loss: 0.1771, lr: 0.000060, batch_cost: 1.2264, reader_cost: 0.00022, ips: 1.6308 samples/sec | ETA 54:06:23 2021-08-21 13:12:34 [INFO] [TRAIN] epoch: 4, iter: 1180/160000, loss: 0.2076, lr: 0.000060, batch_cost: 1.2210, reader_cost: 0.00022, ips: 1.6380 samples/sec | ETA 53:51:58 2021-08-21 13:12:47 [INFO] [TRAIN] epoch: 4, iter: 1190/160000, loss: 0.2979, lr: 0.000060, batch_cost: 1.2294, reader_cost: 0.00022, ips: 1.6268 samples/sec | ETA 54:13:59 2021-08-21 13:12:59 [INFO] [TRAIN] epoch: 4, iter: 1200/160000, loss: 0.1615, lr: 0.000060, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6329 samples/sec | ETA 54:01:35 2021-08-21 13:13:11 [INFO] [TRAIN] epoch: 4, iter: 1210/160000, loss: 0.1690, lr: 0.000060, batch_cost: 1.2242, reader_cost: 0.00021, ips: 1.6338 samples/sec | ETA 53:59:46 2021-08-21 13:13:23 [INFO] [TRAIN] epoch: 4, iter: 1220/160000, loss: 0.1888, lr: 0.000060, batch_cost: 1.2230, reader_cost: 0.00021, ips: 1.6353 samples/sec | ETA 53:56:35 2021-08-21 13:13:36 [INFO] [TRAIN] epoch: 4, iter: 1230/160000, loss: 0.2514, lr: 0.000060, batch_cost: 1.2088, reader_cost: 0.00022, ips: 1.6545 samples/sec | ETA 53:18:42 2021-08-21 13:13:48 [INFO] [TRAIN] epoch: 4, iter: 1240/160000, loss: 0.1670, lr: 0.000060, batch_cost: 1.2426, reader_cost: 0.00027, ips: 1.6095 samples/sec | ETA 54:48:01 2021-08-21 13:14:00 [INFO] [TRAIN] epoch: 4, iter: 1250/160000, loss: 0.1852, lr: 0.000060, batch_cost: 1.2479, reader_cost: 0.00026, ips: 1.6027 samples/sec | ETA 55:01:42 2021-08-21 13:14:13 [INFO] [TRAIN] epoch: 4, iter: 1260/160000, loss: 0.1401, lr: 0.000060, batch_cost: 1.2242, reader_cost: 0.00025, ips: 1.6337 samples/sec | ETA 53:58:46 2021-08-21 13:14:25 [INFO] [TRAIN] epoch: 4, iter: 1270/160000, loss: 0.2601, lr: 0.000060, batch_cost: 1.2272, reader_cost: 0.00024, ips: 1.6298 samples/sec | ETA 54:06:29 2021-08-21 13:14:37 [INFO] [TRAIN] epoch: 4, iter: 1280/160000, loss: 0.2406, lr: 0.000060, batch_cost: 1.2493, reader_cost: 0.00026, ips: 1.6008 samples/sec | ETA 55:04:55 2021-08-21 13:14:50 [INFO] [TRAIN] epoch: 4, iter: 1290/160000, loss: 0.2331, lr: 0.000060, batch_cost: 1.2280, reader_cost: 0.00025, ips: 1.6287 samples/sec | ETA 54:08:12 2021-08-21 13:15:02 [INFO] [TRAIN] epoch: 4, iter: 1300/160000, loss: 0.1747, lr: 0.000060, batch_cost: 1.2369, reader_cost: 0.00026, ips: 1.6170 samples/sec | ETA 54:31:29 2021-08-21 13:15:14 [INFO] [TRAIN] epoch: 4, iter: 1310/160000, loss: 0.1482, lr: 0.000060, batch_cost: 1.2227, reader_cost: 0.00022, ips: 1.6358 samples/sec | ETA 53:53:46 2021-08-21 13:15:27 [INFO] [TRAIN] epoch: 4, iter: 1320/160000, loss: 0.2121, lr: 0.000060, batch_cost: 1.2296, reader_cost: 0.00023, ips: 1.6266 samples/sec | ETA 54:11:50 2021-08-21 13:15:39 [INFO] [TRAIN] epoch: 4, iter: 1330/160000, loss: 0.1997, lr: 0.000060, batch_cost: 1.2303, reader_cost: 0.00022, ips: 1.6256 samples/sec | ETA 54:13:37 2021-08-21 13:15:51 [INFO] [TRAIN] epoch: 4, iter: 1340/160000, loss: 0.1852, lr: 0.000059, batch_cost: 1.2334, reader_cost: 0.00022, ips: 1.6215 samples/sec | ETA 54:21:30 2021-08-21 13:16:04 [INFO] [TRAIN] epoch: 4, iter: 1350/160000, loss: 0.1755, lr: 0.000059, batch_cost: 1.2322, reader_cost: 0.00021, ips: 1.6231 samples/sec | ETA 54:18:13 2021-08-21 13:16:16 [INFO] [TRAIN] epoch: 4, iter: 1360/160000, loss: 0.1805, lr: 0.000059, batch_cost: 1.2300, reader_cost: 0.00021, ips: 1.6261 samples/sec | ETA 54:12:00 2021-08-21 13:16:28 [INFO] [TRAIN] epoch: 4, iter: 1370/160000, loss: 0.2754, lr: 0.000059, batch_cost: 1.2102, reader_cost: 0.00019, ips: 1.6526 samples/sec | ETA 53:19:34 2021-08-21 13:16:40 [INFO] [TRAIN] epoch: 4, iter: 1380/160000, loss: 0.1654, lr: 0.000059, batch_cost: 1.2128, reader_cost: 0.00020, ips: 1.6491 samples/sec | ETA 53:26:10 2021-08-21 13:16:52 [INFO] [TRAIN] epoch: 4, iter: 1390/160000, loss: 0.1476, lr: 0.000059, batch_cost: 1.2261, reader_cost: 0.00022, ips: 1.6312 samples/sec | ETA 54:01:16 2021-08-21 13:17:04 [INFO] [TRAIN] epoch: 4, iter: 1400/160000, loss: 0.1958, lr: 0.000059, batch_cost: 1.2069, reader_cost: 0.00020, ips: 1.6571 samples/sec | ETA 53:10:17 2021-08-21 13:17:17 [INFO] [TRAIN] epoch: 4, iter: 1410/160000, loss: 0.2073, lr: 0.000059, batch_cost: 1.2307, reader_cost: 0.00020, ips: 1.6251 samples/sec | ETA 54:12:51 2021-08-21 13:17:29 [INFO] [TRAIN] epoch: 4, iter: 1420/160000, loss: 0.1818, lr: 0.000059, batch_cost: 1.2260, reader_cost: 0.00022, ips: 1.6313 samples/sec | ETA 54:00:19 2021-08-21 13:17:41 [INFO] [TRAIN] epoch: 4, iter: 1430/160000, loss: 0.2049, lr: 0.000059, batch_cost: 1.2244, reader_cost: 0.00021, ips: 1.6334 samples/sec | ETA 53:55:58 2021-08-21 13:17:53 [INFO] [TRAIN] epoch: 4, iter: 1440/160000, loss: 0.1547, lr: 0.000059, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6377 samples/sec | ETA 53:47:16 2021-08-21 13:18:06 [INFO] [TRAIN] epoch: 4, iter: 1450/160000, loss: 0.2545, lr: 0.000059, batch_cost: 1.2287, reader_cost: 0.00021, ips: 1.6277 samples/sec | ETA 54:06:55 2021-08-21 13:18:18 [INFO] [TRAIN] epoch: 4, iter: 1460/160000, loss: 0.2516, lr: 0.000059, batch_cost: 1.2291, reader_cost: 0.00020, ips: 1.6272 samples/sec | ETA 54:07:43 2021-08-21 13:18:30 [INFO] [TRAIN] epoch: 4, iter: 1470/160000, loss: 0.1321, lr: 0.000059, batch_cost: 1.2039, reader_cost: 0.00019, ips: 1.6613 samples/sec | ETA 53:00:47 2021-08-21 13:18:42 [INFO] [TRAIN] epoch: 4, iter: 1480/160000, loss: 0.1827, lr: 0.000059, batch_cost: 1.2149, reader_cost: 0.00021, ips: 1.6462 samples/sec | ETA 53:29:51 2021-08-21 13:18:57 [INFO] [TRAIN] epoch: 5, iter: 1490/160000, loss: 0.2004, lr: 0.000059, batch_cost: 1.4560, reader_cost: 0.23372, ips: 1.3736 samples/sec | ETA 64:06:37 2021-08-21 13:19:09 [INFO] [TRAIN] epoch: 5, iter: 1500/160000, loss: 0.1689, lr: 0.000059, batch_cost: 1.2347, reader_cost: 0.00087, ips: 1.6198 samples/sec | ETA 54:21:46 2021-08-21 13:19:21 [INFO] [TRAIN] epoch: 5, iter: 1510/160000, loss: 0.1709, lr: 0.000059, batch_cost: 1.2206, reader_cost: 0.00022, ips: 1.6385 samples/sec | ETA 53:44:19 2021-08-21 13:19:34 [INFO] [TRAIN] epoch: 5, iter: 1520/160000, loss: 0.2012, lr: 0.000059, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6317 samples/sec | ETA 53:57:30 2021-08-21 13:19:46 [INFO] [TRAIN] epoch: 5, iter: 1530/160000, loss: 0.1534, lr: 0.000059, batch_cost: 1.2178, reader_cost: 0.00021, ips: 1.6423 samples/sec | ETA 53:36:26 2021-08-21 13:19:58 [INFO] [TRAIN] epoch: 5, iter: 1540/160000, loss: 0.1661, lr: 0.000059, batch_cost: 1.2252, reader_cost: 0.00020, ips: 1.6324 samples/sec | ETA 53:55:45 2021-08-21 13:20:10 [INFO] [TRAIN] epoch: 5, iter: 1550/160000, loss: 0.2050, lr: 0.000059, batch_cost: 1.2225, reader_cost: 0.00021, ips: 1.6359 samples/sec | ETA 53:48:30 2021-08-21 13:20:22 [INFO] [TRAIN] epoch: 5, iter: 1560/160000, loss: 0.2348, lr: 0.000059, batch_cost: 1.2193, reader_cost: 0.00024, ips: 1.6403 samples/sec | ETA 53:39:47 2021-08-21 13:20:35 [INFO] [TRAIN] epoch: 5, iter: 1570/160000, loss: 0.2222, lr: 0.000059, batch_cost: 1.2227, reader_cost: 0.00024, ips: 1.6357 samples/sec | ETA 53:48:39 2021-08-21 13:20:47 [INFO] [TRAIN] epoch: 5, iter: 1580/160000, loss: 0.1658, lr: 0.000059, batch_cost: 1.2192, reader_cost: 0.00023, ips: 1.6404 samples/sec | ETA 53:39:04 2021-08-21 13:20:59 [INFO] [TRAIN] epoch: 5, iter: 1590/160000, loss: 0.2177, lr: 0.000059, batch_cost: 1.2214, reader_cost: 0.00023, ips: 1.6375 samples/sec | ETA 53:44:36 2021-08-21 13:21:12 [INFO] [TRAIN] epoch: 5, iter: 1600/160000, loss: 0.2166, lr: 0.000059, batch_cost: 1.2416, reader_cost: 0.00022, ips: 1.6108 samples/sec | ETA 54:37:50 2021-08-21 13:21:24 [INFO] [TRAIN] epoch: 5, iter: 1610/160000, loss: 0.2610, lr: 0.000059, batch_cost: 1.2242, reader_cost: 0.00021, ips: 1.6337 samples/sec | ETA 53:51:40 2021-08-21 13:21:36 [INFO] [TRAIN] epoch: 5, iter: 1620/160000, loss: 0.1635, lr: 0.000059, batch_cost: 1.2266, reader_cost: 0.00020, ips: 1.6306 samples/sec | ETA 53:57:42 2021-08-21 13:21:48 [INFO] [TRAIN] epoch: 5, iter: 1630/160000, loss: 0.1871, lr: 0.000059, batch_cost: 1.2387, reader_cost: 0.00023, ips: 1.6146 samples/sec | ETA 54:29:34 2021-08-21 13:22:01 [INFO] [TRAIN] epoch: 5, iter: 1640/160000, loss: 0.1987, lr: 0.000059, batch_cost: 1.2255, reader_cost: 0.00023, ips: 1.6320 samples/sec | ETA 53:54:26 2021-08-21 13:22:13 [INFO] [TRAIN] epoch: 5, iter: 1650/160000, loss: 0.2049, lr: 0.000059, batch_cost: 1.2325, reader_cost: 0.00023, ips: 1.6227 samples/sec | ETA 54:12:53 2021-08-21 13:22:25 [INFO] [TRAIN] epoch: 5, iter: 1660/160000, loss: 0.1537, lr: 0.000059, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6388 samples/sec | ETA 53:40:39 2021-08-21 13:22:37 [INFO] [TRAIN] epoch: 5, iter: 1670/160000, loss: 0.1482, lr: 0.000059, batch_cost: 1.2242, reader_cost: 0.00021, ips: 1.6337 samples/sec | ETA 53:50:33 2021-08-21 13:22:50 [INFO] [TRAIN] epoch: 5, iter: 1680/160000, loss: 0.2264, lr: 0.000059, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6364 samples/sec | ETA 53:44:52 2021-08-21 13:23:02 [INFO] [TRAIN] epoch: 5, iter: 1690/160000, loss: 0.1343, lr: 0.000059, batch_cost: 1.2174, reader_cost: 0.00023, ips: 1.6428 samples/sec | ETA 53:32:09 2021-08-21 13:23:14 [INFO] [TRAIN] epoch: 5, iter: 1700/160000, loss: 0.1811, lr: 0.000059, batch_cost: 1.2274, reader_cost: 0.00023, ips: 1.6295 samples/sec | ETA 53:58:15 2021-08-21 13:23:26 [INFO] [TRAIN] epoch: 5, iter: 1710/160000, loss: 0.1570, lr: 0.000059, batch_cost: 1.2305, reader_cost: 0.00026, ips: 1.6253 samples/sec | ETA 54:06:20 2021-08-21 13:23:39 [INFO] [TRAIN] epoch: 5, iter: 1720/160000, loss: 0.2211, lr: 0.000059, batch_cost: 1.2376, reader_cost: 0.00025, ips: 1.6160 samples/sec | ETA 54:24:49 2021-08-21 13:23:51 [INFO] [TRAIN] epoch: 5, iter: 1730/160000, loss: 0.2074, lr: 0.000059, batch_cost: 1.2083, reader_cost: 0.00021, ips: 1.6552 samples/sec | ETA 53:07:21 2021-08-21 13:24:03 [INFO] [TRAIN] epoch: 5, iter: 1740/160000, loss: 0.2124, lr: 0.000059, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 53:33:52 2021-08-21 13:24:15 [INFO] [TRAIN] epoch: 5, iter: 1750/160000, loss: 0.2445, lr: 0.000059, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6361 samples/sec | ETA 53:44:13 2021-08-21 13:24:28 [INFO] [TRAIN] epoch: 5, iter: 1760/160000, loss: 0.2398, lr: 0.000059, batch_cost: 1.2303, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 54:04:36 2021-08-21 13:24:40 [INFO] [TRAIN] epoch: 5, iter: 1770/160000, loss: 0.2251, lr: 0.000059, batch_cost: 1.2137, reader_cost: 0.00022, ips: 1.6478 samples/sec | ETA 53:20:45 2021-08-21 13:24:52 [INFO] [TRAIN] epoch: 5, iter: 1780/160000, loss: 0.1722, lr: 0.000059, batch_cost: 1.2495, reader_cost: 0.00023, ips: 1.6006 samples/sec | ETA 54:55:01 2021-08-21 13:25:05 [INFO] [TRAIN] epoch: 5, iter: 1790/160000, loss: 0.1795, lr: 0.000059, batch_cost: 1.2288, reader_cost: 0.00022, ips: 1.6276 samples/sec | ETA 54:00:07 2021-08-21 13:25:17 [INFO] [TRAIN] epoch: 5, iter: 1800/160000, loss: 0.1597, lr: 0.000059, batch_cost: 1.2210, reader_cost: 0.00023, ips: 1.6380 samples/sec | ETA 53:39:16 2021-08-21 13:25:29 [INFO] [TRAIN] epoch: 5, iter: 1810/160000, loss: 0.1758, lr: 0.000059, batch_cost: 1.2264, reader_cost: 0.00023, ips: 1.6308 samples/sec | ETA 53:53:26 2021-08-21 13:25:41 [INFO] [TRAIN] epoch: 5, iter: 1820/160000, loss: 0.2110, lr: 0.000059, batch_cost: 1.2271, reader_cost: 0.00023, ips: 1.6298 samples/sec | ETA 53:55:07 2021-08-21 13:25:54 [INFO] [TRAIN] epoch: 5, iter: 1830/160000, loss: 0.2457, lr: 0.000059, batch_cost: 1.2273, reader_cost: 0.00023, ips: 1.6296 samples/sec | ETA 53:55:18 2021-08-21 13:26:06 [INFO] [TRAIN] epoch: 5, iter: 1840/160000, loss: 0.2327, lr: 0.000059, batch_cost: 1.2394, reader_cost: 0.00021, ips: 1.6137 samples/sec | ETA 54:26:57 2021-08-21 13:26:18 [INFO] [TRAIN] epoch: 5, iter: 1850/160000, loss: 0.2749, lr: 0.000059, batch_cost: 1.2063, reader_cost: 0.00020, ips: 1.6579 samples/sec | ETA 52:59:40 2021-08-21 13:26:30 [INFO] [TRAIN] epoch: 5, iter: 1860/160000, loss: 0.2709, lr: 0.000059, batch_cost: 1.1858, reader_cost: 0.00016, ips: 1.6866 samples/sec | ETA 52:05:25 2021-08-21 13:26:45 [INFO] [TRAIN] epoch: 6, iter: 1870/160000, loss: 0.1580, lr: 0.000059, batch_cost: 1.5086, reader_cost: 0.24074, ips: 1.3257 samples/sec | ETA 66:15:57 2021-08-21 13:26:57 [INFO] [TRAIN] epoch: 6, iter: 1880/160000, loss: 0.2160, lr: 0.000059, batch_cost: 1.2355, reader_cost: 0.00079, ips: 1.6188 samples/sec | ETA 54:15:51 2021-08-21 13:27:10 [INFO] [TRAIN] epoch: 6, iter: 1890/160000, loss: 0.2256, lr: 0.000059, batch_cost: 1.2270, reader_cost: 0.00023, ips: 1.6299 samples/sec | ETA 53:53:27 2021-08-21 13:27:22 [INFO] [TRAIN] epoch: 6, iter: 1900/160000, loss: 0.1753, lr: 0.000059, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 53:45:51 2021-08-21 13:27:34 [INFO] [TRAIN] epoch: 6, iter: 1910/160000, loss: 0.2101, lr: 0.000059, batch_cost: 1.2357, reader_cost: 0.00024, ips: 1.6186 samples/sec | ETA 54:15:47 2021-08-21 13:27:46 [INFO] [TRAIN] epoch: 6, iter: 1920/160000, loss: 0.1339, lr: 0.000059, batch_cost: 1.2280, reader_cost: 0.00022, ips: 1.6286 samples/sec | ETA 53:55:24 2021-08-21 13:27:59 [INFO] [TRAIN] epoch: 6, iter: 1930/160000, loss: 0.1752, lr: 0.000059, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6317 samples/sec | ETA 53:49:08 2021-08-21 13:28:11 [INFO] [TRAIN] epoch: 6, iter: 1940/160000, loss: 0.1791, lr: 0.000059, batch_cost: 1.2342, reader_cost: 0.00022, ips: 1.6205 samples/sec | ETA 54:11:19 2021-08-21 13:28:23 [INFO] [TRAIN] epoch: 6, iter: 1950/160000, loss: 0.1645, lr: 0.000059, batch_cost: 1.2117, reader_cost: 0.00021, ips: 1.6506 samples/sec | ETA 53:11:42 2021-08-21 13:28:35 [INFO] [TRAIN] epoch: 6, iter: 1960/160000, loss: 0.1635, lr: 0.000059, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 53:41:57 2021-08-21 13:28:48 [INFO] [TRAIN] epoch: 6, iter: 1970/160000, loss: 0.1769, lr: 0.000059, batch_cost: 1.2180, reader_cost: 0.00023, ips: 1.6420 samples/sec | ETA 53:28:00 2021-08-21 13:29:00 [INFO] [TRAIN] epoch: 6, iter: 1980/160000, loss: 0.2654, lr: 0.000059, batch_cost: 1.2077, reader_cost: 0.00023, ips: 1.6560 samples/sec | ETA 53:00:46 2021-08-21 13:29:12 [INFO] [TRAIN] epoch: 6, iter: 1990/160000, loss: 0.1239, lr: 0.000059, batch_cost: 1.2204, reader_cost: 0.00023, ips: 1.6389 samples/sec | ETA 53:33:47 2021-08-21 13:29:24 [INFO] [TRAIN] epoch: 6, iter: 2000/160000, loss: 0.1899, lr: 0.000059, batch_cost: 1.2203, reader_cost: 0.00020, ips: 1.6389 samples/sec | ETA 53:33:32 2021-08-21 13:29:36 [INFO] [TRAIN] epoch: 6, iter: 2010/160000, loss: 0.1602, lr: 0.000059, batch_cost: 1.2155, reader_cost: 0.00021, ips: 1.6454 samples/sec | ETA 53:20:37 2021-08-21 13:29:49 [INFO] [TRAIN] epoch: 6, iter: 2020/160000, loss: 0.1642, lr: 0.000059, batch_cost: 1.2397, reader_cost: 0.00024, ips: 1.6133 samples/sec | ETA 54:24:05 2021-08-21 13:30:01 [INFO] [TRAIN] epoch: 6, iter: 2030/160000, loss: 0.1488, lr: 0.000059, batch_cost: 1.2230, reader_cost: 0.00023, ips: 1.6353 samples/sec | ETA 53:39:58 2021-08-21 13:30:13 [INFO] [TRAIN] epoch: 6, iter: 2040/160000, loss: 0.1336, lr: 0.000059, batch_cost: 1.2281, reader_cost: 0.00025, ips: 1.6285 samples/sec | ETA 53:53:16 2021-08-21 13:30:26 [INFO] [TRAIN] epoch: 6, iter: 2050/160000, loss: 0.1393, lr: 0.000059, batch_cost: 1.2375, reader_cost: 0.00022, ips: 1.6162 samples/sec | ETA 54:17:42 2021-08-21 13:30:38 [INFO] [TRAIN] epoch: 6, iter: 2060/160000, loss: 0.1848, lr: 0.000059, batch_cost: 1.2280, reader_cost: 0.00022, ips: 1.6286 samples/sec | ETA 53:52:33 2021-08-21 13:30:50 [INFO] [TRAIN] epoch: 6, iter: 2070/160000, loss: 0.1578, lr: 0.000059, batch_cost: 1.2298, reader_cost: 0.00021, ips: 1.6263 samples/sec | ETA 53:57:00 2021-08-21 13:31:02 [INFO] [TRAIN] epoch: 6, iter: 2080/160000, loss: 0.1963, lr: 0.000059, batch_cost: 1.2142, reader_cost: 0.00020, ips: 1.6471 samples/sec | ETA 53:15:50 2021-08-21 13:31:14 [INFO] [TRAIN] epoch: 6, iter: 2090/160000, loss: 0.1590, lr: 0.000059, batch_cost: 1.2170, reader_cost: 0.00023, ips: 1.6434 samples/sec | ETA 53:23:00 2021-08-21 13:31:27 [INFO] [TRAIN] epoch: 6, iter: 2100/160000, loss: 0.1718, lr: 0.000059, batch_cost: 1.2280, reader_cost: 0.00022, ips: 1.6287 samples/sec | ETA 53:51:41 2021-08-21 13:31:39 [INFO] [TRAIN] epoch: 6, iter: 2110/160000, loss: 0.1471, lr: 0.000059, batch_cost: 1.2372, reader_cost: 0.00022, ips: 1.6165 samples/sec | ETA 54:15:47 2021-08-21 13:31:51 [INFO] [TRAIN] epoch: 6, iter: 2120/160000, loss: 0.1456, lr: 0.000059, batch_cost: 1.2119, reader_cost: 0.00022, ips: 1.6503 samples/sec | ETA 53:09:00 2021-08-21 13:32:04 [INFO] [TRAIN] epoch: 6, iter: 2130/160000, loss: 0.1625, lr: 0.000059, batch_cost: 1.2351, reader_cost: 0.00023, ips: 1.6193 samples/sec | ETA 54:09:39 2021-08-21 13:32:16 [INFO] [TRAIN] epoch: 6, iter: 2140/160000, loss: 0.1797, lr: 0.000059, batch_cost: 1.2156, reader_cost: 0.00022, ips: 1.6452 samples/sec | ETA 53:18:19 2021-08-21 13:32:28 [INFO] [TRAIN] epoch: 6, iter: 2150/160000, loss: 0.1543, lr: 0.000059, batch_cost: 1.2298, reader_cost: 0.00022, ips: 1.6263 samples/sec | ETA 53:55:18 2021-08-21 13:32:40 [INFO] [TRAIN] epoch: 6, iter: 2160/160000, loss: 0.1756, lr: 0.000059, batch_cost: 1.2161, reader_cost: 0.00021, ips: 1.6445 samples/sec | ETA 53:19:16 2021-08-21 13:32:53 [INFO] [TRAIN] epoch: 6, iter: 2170/160000, loss: 0.1911, lr: 0.000059, batch_cost: 1.2402, reader_cost: 0.00023, ips: 1.6126 samples/sec | ETA 54:22:27 2021-08-21 13:33:05 [INFO] [TRAIN] epoch: 6, iter: 2180/160000, loss: 0.1431, lr: 0.000059, batch_cost: 1.2095, reader_cost: 0.00021, ips: 1.6536 samples/sec | ETA 53:01:20 2021-08-21 13:33:17 [INFO] [TRAIN] epoch: 6, iter: 2190/160000, loss: 0.1287, lr: 0.000059, batch_cost: 1.2216, reader_cost: 0.00020, ips: 1.6371 samples/sec | ETA 53:33:06 2021-08-21 13:33:29 [INFO] [TRAIN] epoch: 6, iter: 2200/160000, loss: 0.2287, lr: 0.000059, batch_cost: 1.2327, reader_cost: 0.00021, ips: 1.6224 samples/sec | ETA 54:02:04 2021-08-21 13:33:42 [INFO] [TRAIN] epoch: 6, iter: 2210/160000, loss: 0.1800, lr: 0.000059, batch_cost: 1.2408, reader_cost: 0.00020, ips: 1.6119 samples/sec | ETA 54:23:02 2021-08-21 13:33:54 [INFO] [TRAIN] epoch: 6, iter: 2220/160000, loss: 0.1747, lr: 0.000059, batch_cost: 1.2285, reader_cost: 0.00021, ips: 1.6281 samples/sec | ETA 53:50:25 2021-08-21 13:34:06 [INFO] [TRAIN] epoch: 6, iter: 2230/160000, loss: 0.2204, lr: 0.000059, batch_cost: 1.1827, reader_cost: 0.00017, ips: 1.6911 samples/sec | ETA 51:49:51 2021-08-21 13:34:21 [INFO] [TRAIN] epoch: 7, iter: 2240/160000, loss: 0.1924, lr: 0.000059, batch_cost: 1.5103, reader_cost: 0.21460, ips: 1.3242 samples/sec | ETA 66:11:09 2021-08-21 13:34:33 [INFO] [TRAIN] epoch: 7, iter: 2250/160000, loss: 0.1620, lr: 0.000059, batch_cost: 1.2291, reader_cost: 0.00081, ips: 1.6273 samples/sec | ETA 53:51:23 2021-08-21 13:34:45 [INFO] [TRAIN] epoch: 7, iter: 2260/160000, loss: 0.1591, lr: 0.000059, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6358 samples/sec | ETA 53:34:16 2021-08-21 13:34:58 [INFO] [TRAIN] epoch: 7, iter: 2270/160000, loss: 0.1695, lr: 0.000059, batch_cost: 1.2389, reader_cost: 0.00021, ips: 1.6143 samples/sec | ETA 54:16:58 2021-08-21 13:35:10 [INFO] [TRAIN] epoch: 7, iter: 2280/160000, loss: 0.1804, lr: 0.000059, batch_cost: 1.2242, reader_cost: 0.00023, ips: 1.6337 samples/sec | ETA 53:38:05 2021-08-21 13:35:22 [INFO] [TRAIN] epoch: 7, iter: 2290/160000, loss: 0.1573, lr: 0.000059, batch_cost: 1.2155, reader_cost: 0.00023, ips: 1.6454 samples/sec | ETA 53:14:55 2021-08-21 13:35:34 [INFO] [TRAIN] epoch: 7, iter: 2300/160000, loss: 0.1759, lr: 0.000059, batch_cost: 1.2308, reader_cost: 0.00023, ips: 1.6250 samples/sec | ETA 53:54:54 2021-08-21 13:35:47 [INFO] [TRAIN] epoch: 7, iter: 2310/160000, loss: 0.1717, lr: 0.000059, batch_cost: 1.2409, reader_cost: 0.00022, ips: 1.6118 samples/sec | ETA 54:21:12 2021-08-21 13:35:59 [INFO] [TRAIN] epoch: 7, iter: 2320/160000, loss: 0.1626, lr: 0.000059, batch_cost: 1.2376, reader_cost: 0.00021, ips: 1.6160 samples/sec | ETA 54:12:32 2021-08-21 13:36:12 [INFO] [TRAIN] epoch: 7, iter: 2330/160000, loss: 0.1662, lr: 0.000059, batch_cost: 1.2276, reader_cost: 0.00024, ips: 1.6292 samples/sec | ETA 53:45:56 2021-08-21 13:36:24 [INFO] [TRAIN] epoch: 7, iter: 2340/160000, loss: 0.2296, lr: 0.000059, batch_cost: 1.2319, reader_cost: 0.00022, ips: 1.6235 samples/sec | ETA 53:56:56 2021-08-21 13:36:36 [INFO] [TRAIN] epoch: 7, iter: 2350/160000, loss: 0.1954, lr: 0.000059, batch_cost: 1.2369, reader_cost: 0.00023, ips: 1.6170 samples/sec | ETA 54:09:56 2021-08-21 13:36:49 [INFO] [TRAIN] epoch: 7, iter: 2360/160000, loss: 0.2141, lr: 0.000059, batch_cost: 1.2320, reader_cost: 0.00023, ips: 1.6234 samples/sec | ETA 53:56:51 2021-08-21 13:37:01 [INFO] [TRAIN] epoch: 7, iter: 2370/160000, loss: 0.2663, lr: 0.000059, batch_cost: 1.2443, reader_cost: 0.00024, ips: 1.6074 samples/sec | ETA 54:28:53 2021-08-21 13:37:13 [INFO] [TRAIN] epoch: 7, iter: 2380/160000, loss: 0.1855, lr: 0.000059, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6338 samples/sec | ETA 53:35:47 2021-08-21 13:37:25 [INFO] [TRAIN] epoch: 7, iter: 2390/160000, loss: 0.2087, lr: 0.000059, batch_cost: 1.2086, reader_cost: 0.00021, ips: 1.6548 samples/sec | ETA 52:54:52 2021-08-21 13:37:37 [INFO] [TRAIN] epoch: 7, iter: 2400/160000, loss: 0.1313, lr: 0.000059, batch_cost: 1.2155, reader_cost: 0.00021, ips: 1.6454 samples/sec | ETA 53:12:44 2021-08-21 13:37:50 [INFO] [TRAIN] epoch: 7, iter: 2410/160000, loss: 0.2088, lr: 0.000059, batch_cost: 1.2181, reader_cost: 0.00023, ips: 1.6419 samples/sec | ETA 53:19:20 2021-08-21 13:38:02 [INFO] [TRAIN] epoch: 7, iter: 2420/160000, loss: 0.1652, lr: 0.000059, batch_cost: 1.2202, reader_cost: 0.00023, ips: 1.6391 samples/sec | ETA 53:24:37 2021-08-21 13:38:14 [INFO] [TRAIN] epoch: 7, iter: 2430/160000, loss: 0.1689, lr: 0.000059, batch_cost: 1.2231, reader_cost: 0.00022, ips: 1.6352 samples/sec | ETA 53:31:58 2021-08-21 13:38:27 [INFO] [TRAIN] epoch: 7, iter: 2440/160000, loss: 0.1319, lr: 0.000059, batch_cost: 1.2536, reader_cost: 0.00022, ips: 1.5954 samples/sec | ETA 54:51:55 2021-08-21 13:38:39 [INFO] [TRAIN] epoch: 7, iter: 2450/160000, loss: 0.1523, lr: 0.000059, batch_cost: 1.2399, reader_cost: 0.00024, ips: 1.6131 samples/sec | ETA 54:15:39 2021-08-21 13:38:52 [INFO] [TRAIN] epoch: 7, iter: 2460/160000, loss: 0.1889, lr: 0.000059, batch_cost: 1.2573, reader_cost: 0.00026, ips: 1.5907 samples/sec | ETA 55:01:12 2021-08-21 13:39:04 [INFO] [TRAIN] epoch: 7, iter: 2470/160000, loss: 0.2043, lr: 0.000059, batch_cost: 1.2298, reader_cost: 0.00021, ips: 1.6262 samples/sec | ETA 53:48:57 2021-08-21 13:39:16 [INFO] [TRAIN] epoch: 7, iter: 2480/160000, loss: 0.1264, lr: 0.000059, batch_cost: 1.2306, reader_cost: 0.00021, ips: 1.6253 samples/sec | ETA 53:50:38 2021-08-21 13:39:28 [INFO] [TRAIN] epoch: 7, iter: 2490/160000, loss: 0.1300, lr: 0.000059, batch_cost: 1.2317, reader_cost: 0.00020, ips: 1.6238 samples/sec | ETA 53:53:27 2021-08-21 13:39:41 [INFO] [TRAIN] epoch: 7, iter: 2500/160000, loss: 0.1946, lr: 0.000059, batch_cost: 1.2311, reader_cost: 0.00021, ips: 1.6246 samples/sec | ETA 53:51:37 2021-08-21 13:39:53 [INFO] [TRAIN] epoch: 7, iter: 2510/160000, loss: 0.1153, lr: 0.000059, batch_cost: 1.2150, reader_cost: 0.00022, ips: 1.6460 samples/sec | ETA 53:09:15 2021-08-21 13:40:05 [INFO] [TRAIN] epoch: 7, iter: 2520/160000, loss: 0.1460, lr: 0.000059, batch_cost: 1.2303, reader_cost: 0.00022, ips: 1.6256 samples/sec | ETA 53:49:14 2021-08-21 13:40:17 [INFO] [TRAIN] epoch: 7, iter: 2530/160000, loss: 0.1489, lr: 0.000059, batch_cost: 1.2200, reader_cost: 0.00021, ips: 1.6393 samples/sec | ETA 53:21:53 2021-08-21 13:40:30 [INFO] [TRAIN] epoch: 7, iter: 2540/160000, loss: 0.1419, lr: 0.000059, batch_cost: 1.2212, reader_cost: 0.00021, ips: 1.6377 samples/sec | ETA 53:24:57 2021-08-21 13:40:42 [INFO] [TRAIN] epoch: 7, iter: 2550/160000, loss: 0.1822, lr: 0.000059, batch_cost: 1.2230, reader_cost: 0.00022, ips: 1.6354 samples/sec | ETA 53:29:16 2021-08-21 13:40:54 [INFO] [TRAIN] epoch: 7, iter: 2560/160000, loss: 0.1631, lr: 0.000059, batch_cost: 1.2370, reader_cost: 0.00023, ips: 1.6168 samples/sec | ETA 54:05:51 2021-08-21 13:41:07 [INFO] [TRAIN] epoch: 7, iter: 2570/160000, loss: 0.1441, lr: 0.000059, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6338 samples/sec | ETA 53:31:50 2021-08-21 13:41:19 [INFO] [TRAIN] epoch: 7, iter: 2580/160000, loss: 0.1890, lr: 0.000059, batch_cost: 1.2176, reader_cost: 0.00022, ips: 1.6426 samples/sec | ETA 53:14:29 2021-08-21 13:41:31 [INFO] [TRAIN] epoch: 7, iter: 2590/160000, loss: 0.2517, lr: 0.000059, batch_cost: 1.2238, reader_cost: 0.00022, ips: 1.6343 samples/sec | ETA 53:30:33 2021-08-21 13:41:43 [INFO] [TRAIN] epoch: 7, iter: 2600/160000, loss: 0.1749, lr: 0.000059, batch_cost: 1.2026, reader_cost: 0.00019, ips: 1.6631 samples/sec | ETA 52:34:46 2021-08-21 13:41:58 [INFO] [TRAIN] epoch: 8, iter: 2610/160000, loss: 0.1426, lr: 0.000059, batch_cost: 1.5052, reader_cost: 0.24421, ips: 1.3287 samples/sec | ETA 65:48:23 2021-08-21 13:42:10 [INFO] [TRAIN] epoch: 8, iter: 2620/160000, loss: 0.1544, lr: 0.000059, batch_cost: 1.2145, reader_cost: 0.00075, ips: 1.6468 samples/sec | ETA 53:05:36 2021-08-21 13:42:22 [INFO] [TRAIN] epoch: 8, iter: 2630/160000, loss: 0.1359, lr: 0.000059, batch_cost: 1.2321, reader_cost: 0.00021, ips: 1.6232 samples/sec | ETA 53:51:39 2021-08-21 13:42:35 [INFO] [TRAIN] epoch: 8, iter: 2640/160000, loss: 0.1262, lr: 0.000059, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6255 samples/sec | ETA 53:46:54 2021-08-21 13:42:47 [INFO] [TRAIN] epoch: 8, iter: 2650/160000, loss: 0.1747, lr: 0.000059, batch_cost: 1.2338, reader_cost: 0.00021, ips: 1.6211 samples/sec | ETA 53:55:30 2021-08-21 13:42:59 [INFO] [TRAIN] epoch: 8, iter: 2660/160000, loss: 0.1866, lr: 0.000059, batch_cost: 1.2209, reader_cost: 0.00022, ips: 1.6381 samples/sec | ETA 53:21:38 2021-08-21 13:43:11 [INFO] [TRAIN] epoch: 8, iter: 2670/160000, loss: 0.1736, lr: 0.000059, batch_cost: 1.2052, reader_cost: 0.00021, ips: 1.6594 samples/sec | ETA 52:40:18 2021-08-21 13:43:24 [INFO] [TRAIN] epoch: 8, iter: 2680/160000, loss: 0.1503, lr: 0.000059, batch_cost: 1.2177, reader_cost: 0.00023, ips: 1.6424 samples/sec | ETA 53:12:48 2021-08-21 13:43:36 [INFO] [TRAIN] epoch: 8, iter: 2690/160000, loss: 0.1144, lr: 0.000059, batch_cost: 1.2338, reader_cost: 0.00024, ips: 1.6210 samples/sec | ETA 53:54:44 2021-08-21 13:43:48 [INFO] [TRAIN] epoch: 8, iter: 2700/160000, loss: 0.1552, lr: 0.000059, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6283 samples/sec | ETA 53:40:10 2021-08-21 13:44:01 [INFO] [TRAIN] epoch: 8, iter: 2710/160000, loss: 0.1769, lr: 0.000059, batch_cost: 1.2400, reader_cost: 0.00021, ips: 1.6129 samples/sec | ETA 54:10:38 2021-08-21 13:44:13 [INFO] [TRAIN] epoch: 8, iter: 2720/160000, loss: 0.1808, lr: 0.000059, batch_cost: 1.2180, reader_cost: 0.00023, ips: 1.6421 samples/sec | ETA 53:12:41 2021-08-21 13:44:25 [INFO] [TRAIN] epoch: 8, iter: 2730/160000, loss: 0.1992, lr: 0.000059, batch_cost: 1.2269, reader_cost: 0.00022, ips: 1.6301 samples/sec | ETA 53:36:01 2021-08-21 13:44:37 [INFO] [TRAIN] epoch: 8, iter: 2740/160000, loss: 0.1886, lr: 0.000059, batch_cost: 1.2309, reader_cost: 0.00021, ips: 1.6249 samples/sec | ETA 53:46:06 2021-08-21 13:44:50 [INFO] [TRAIN] epoch: 8, iter: 2750/160000, loss: 0.1674, lr: 0.000059, batch_cost: 1.2247, reader_cost: 0.00021, ips: 1.6330 samples/sec | ETA 53:29:44 2021-08-21 13:45:02 [INFO] [TRAIN] epoch: 8, iter: 2760/160000, loss: 0.1517, lr: 0.000059, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6255 samples/sec | ETA 53:44:23 2021-08-21 13:45:14 [INFO] [TRAIN] epoch: 8, iter: 2770/160000, loss: 0.1570, lr: 0.000059, batch_cost: 1.2437, reader_cost: 0.00022, ips: 1.6081 samples/sec | ETA 54:19:01 2021-08-21 13:45:26 [INFO] [TRAIN] epoch: 8, iter: 2780/160000, loss: 0.1603, lr: 0.000059, batch_cost: 1.2133, reader_cost: 0.00020, ips: 1.6484 samples/sec | ETA 52:59:17 2021-08-21 13:45:39 [INFO] [TRAIN] epoch: 8, iter: 2790/160000, loss: 0.1341, lr: 0.000059, batch_cost: 1.2330, reader_cost: 0.00023, ips: 1.6220 samples/sec | ETA 53:50:43 2021-08-21 13:45:51 [INFO] [TRAIN] epoch: 8, iter: 2800/160000, loss: 0.1664, lr: 0.000059, batch_cost: 1.2318, reader_cost: 0.00021, ips: 1.6236 samples/sec | ETA 53:47:24 2021-08-21 13:46:03 [INFO] [TRAIN] epoch: 8, iter: 2810/160000, loss: 0.2387, lr: 0.000059, batch_cost: 1.2367, reader_cost: 0.00021, ips: 1.6173 samples/sec | ETA 53:59:50 2021-08-21 13:46:16 [INFO] [TRAIN] epoch: 8, iter: 2820/160000, loss: 0.1616, lr: 0.000059, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6389 samples/sec | ETA 53:16:56 2021-08-21 13:46:28 [INFO] [TRAIN] epoch: 8, iter: 2830/160000, loss: 0.1734, lr: 0.000059, batch_cost: 1.2309, reader_cost: 0.00021, ips: 1.6248 samples/sec | ETA 53:44:18 2021-08-21 13:46:40 [INFO] [TRAIN] epoch: 8, iter: 2840/160000, loss: 0.1687, lr: 0.000059, batch_cost: 1.2249, reader_cost: 0.00022, ips: 1.6328 samples/sec | ETA 53:28:23 2021-08-21 13:46:52 [INFO] [TRAIN] epoch: 8, iter: 2850/160000, loss: 0.1694, lr: 0.000059, batch_cost: 1.2175, reader_cost: 0.00022, ips: 1.6427 samples/sec | ETA 53:08:56 2021-08-21 13:47:05 [INFO] [TRAIN] epoch: 8, iter: 2860/160000, loss: 0.1536, lr: 0.000059, batch_cost: 1.2101, reader_cost: 0.00022, ips: 1.6528 samples/sec | ETA 52:49:10 2021-08-21 13:47:17 [INFO] [TRAIN] epoch: 8, iter: 2870/160000, loss: 0.1571, lr: 0.000059, batch_cost: 1.2246, reader_cost: 0.00023, ips: 1.6332 samples/sec | ETA 53:26:56 2021-08-21 13:47:29 [INFO] [TRAIN] epoch: 8, iter: 2880/160000, loss: 0.2165, lr: 0.000059, batch_cost: 1.2199, reader_cost: 0.00020, ips: 1.6394 samples/sec | ETA 53:14:35 2021-08-21 13:47:41 [INFO] [TRAIN] epoch: 8, iter: 2890/160000, loss: 0.1658, lr: 0.000059, batch_cost: 1.2198, reader_cost: 0.00023, ips: 1.6396 samples/sec | ETA 53:13:59 2021-08-21 13:47:53 [INFO] [TRAIN] epoch: 8, iter: 2900/160000, loss: 0.1751, lr: 0.000059, batch_cost: 1.2252, reader_cost: 0.00022, ips: 1.6323 samples/sec | ETA 53:28:05 2021-08-21 13:48:06 [INFO] [TRAIN] epoch: 8, iter: 2910/160000, loss: 0.1580, lr: 0.000059, batch_cost: 1.2220, reader_cost: 0.00023, ips: 1.6366 samples/sec | ETA 53:19:27 2021-08-21 13:48:18 [INFO] [TRAIN] epoch: 8, iter: 2920/160000, loss: 0.1501, lr: 0.000059, batch_cost: 1.2221, reader_cost: 0.00022, ips: 1.6366 samples/sec | ETA 53:19:22 2021-08-21 13:48:30 [INFO] [TRAIN] epoch: 8, iter: 2930/160000, loss: 0.1513, lr: 0.000059, batch_cost: 1.2211, reader_cost: 0.00021, ips: 1.6379 samples/sec | ETA 53:16:36 2021-08-21 13:48:42 [INFO] [TRAIN] epoch: 8, iter: 2940/160000, loss: 0.1898, lr: 0.000059, batch_cost: 1.2159, reader_cost: 0.00023, ips: 1.6449 samples/sec | ETA 53:02:44 2021-08-21 13:48:54 [INFO] [TRAIN] epoch: 8, iter: 2950/160000, loss: 0.1948, lr: 0.000059, batch_cost: 1.2144, reader_cost: 0.00021, ips: 1.6469 samples/sec | ETA 52:58:40 2021-08-21 13:49:07 [INFO] [TRAIN] epoch: 8, iter: 2960/160000, loss: 0.1287, lr: 0.000059, batch_cost: 1.2179, reader_cost: 0.00021, ips: 1.6422 samples/sec | ETA 53:07:31 2021-08-21 13:49:19 [INFO] [TRAIN] epoch: 8, iter: 2970/160000, loss: 0.1466, lr: 0.000059, batch_cost: 1.1974, reader_cost: 0.00018, ips: 1.6703 samples/sec | ETA 52:13:48 2021-08-21 13:49:33 [INFO] [TRAIN] epoch: 9, iter: 2980/160000, loss: 0.1720, lr: 0.000059, batch_cost: 1.4673, reader_cost: 0.23429, ips: 1.3631 samples/sec | ETA 63:59:52 2021-08-21 13:49:46 [INFO] [TRAIN] epoch: 9, iter: 2990/160000, loss: 0.1483, lr: 0.000059, batch_cost: 1.2350, reader_cost: 0.00082, ips: 1.6194 samples/sec | ETA 53:51:46 2021-08-21 13:49:58 [INFO] [TRAIN] epoch: 9, iter: 3000/160000, loss: 0.1568, lr: 0.000059, batch_cost: 1.2321, reader_cost: 0.00021, ips: 1.6232 samples/sec | ETA 53:44:05 2021-08-21 13:50:10 [INFO] [TRAIN] epoch: 9, iter: 3010/160000, loss: 0.1679, lr: 0.000059, batch_cost: 1.2391, reader_cost: 0.00021, ips: 1.6141 samples/sec | ETA 54:01:58 2021-08-21 13:50:23 [INFO] [TRAIN] epoch: 9, iter: 3020/160000, loss: 0.1387, lr: 0.000059, batch_cost: 1.2329, reader_cost: 0.00022, ips: 1.6222 samples/sec | ETA 53:45:45 2021-08-21 13:50:35 [INFO] [TRAIN] epoch: 9, iter: 3030/160000, loss: 0.1433, lr: 0.000059, batch_cost: 1.2215, reader_cost: 0.00021, ips: 1.6373 samples/sec | ETA 53:15:40 2021-08-21 13:50:47 [INFO] [TRAIN] epoch: 9, iter: 3040/160000, loss: 0.1482, lr: 0.000059, batch_cost: 1.2380, reader_cost: 0.00021, ips: 1.6155 samples/sec | ETA 53:58:41 2021-08-21 13:50:59 [INFO] [TRAIN] epoch: 9, iter: 3050/160000, loss: 0.1763, lr: 0.000059, batch_cost: 1.2147, reader_cost: 0.00023, ips: 1.6465 samples/sec | ETA 52:57:22 2021-08-21 13:51:12 [INFO] [TRAIN] epoch: 9, iter: 3060/160000, loss: 0.1774, lr: 0.000059, batch_cost: 1.2208, reader_cost: 0.00024, ips: 1.6382 samples/sec | ETA 53:13:17 2021-08-21 13:51:24 [INFO] [TRAIN] epoch: 9, iter: 3070/160000, loss: 0.2012, lr: 0.000059, batch_cost: 1.2223, reader_cost: 0.00022, ips: 1.6363 samples/sec | ETA 53:16:52 2021-08-21 13:51:36 [INFO] [TRAIN] epoch: 9, iter: 3080/160000, loss: 0.1458, lr: 0.000059, batch_cost: 1.2244, reader_cost: 0.00021, ips: 1.6334 samples/sec | ETA 53:22:13 2021-08-21 13:51:48 [INFO] [TRAIN] epoch: 9, iter: 3090/160000, loss: 0.1103, lr: 0.000059, batch_cost: 1.2220, reader_cost: 0.00022, ips: 1.6366 samples/sec | ETA 53:15:49 2021-08-21 13:52:00 [INFO] [TRAIN] epoch: 9, iter: 3100/160000, loss: 0.1684, lr: 0.000059, batch_cost: 1.2182, reader_cost: 0.00023, ips: 1.6418 samples/sec | ETA 53:05:33 2021-08-21 13:52:13 [INFO] [TRAIN] epoch: 9, iter: 3110/160000, loss: 0.1050, lr: 0.000059, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6391 samples/sec | ETA 53:10:34 2021-08-21 13:52:25 [INFO] [TRAIN] epoch: 9, iter: 3120/160000, loss: 0.1569, lr: 0.000059, batch_cost: 1.2139, reader_cost: 0.00022, ips: 1.6476 samples/sec | ETA 52:53:50 2021-08-21 13:52:37 [INFO] [TRAIN] epoch: 9, iter: 3130/160000, loss: 0.1448, lr: 0.000059, batch_cost: 1.2232, reader_cost: 0.00020, ips: 1.6351 samples/sec | ETA 53:18:01 2021-08-21 13:52:49 [INFO] [TRAIN] epoch: 9, iter: 3140/160000, loss: 0.2161, lr: 0.000059, batch_cost: 1.2335, reader_cost: 0.00022, ips: 1.6215 samples/sec | ETA 53:44:39 2021-08-21 13:53:02 [INFO] [TRAIN] epoch: 9, iter: 3150/160000, loss: 0.1572, lr: 0.000059, batch_cost: 1.2283, reader_cost: 0.00021, ips: 1.6282 samples/sec | ETA 53:31:05 2021-08-21 13:53:14 [INFO] [TRAIN] epoch: 9, iter: 3160/160000, loss: 0.1747, lr: 0.000059, batch_cost: 1.2306, reader_cost: 0.00022, ips: 1.6253 samples/sec | ETA 53:36:43 2021-08-21 13:53:26 [INFO] [TRAIN] epoch: 9, iter: 3170/160000, loss: 0.2813, lr: 0.000059, batch_cost: 1.2214, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 53:12:35 2021-08-21 13:53:38 [INFO] [TRAIN] epoch: 9, iter: 3180/160000, loss: 0.1645, lr: 0.000059, batch_cost: 1.2286, reader_cost: 0.00022, ips: 1.6279 samples/sec | ETA 53:31:02 2021-08-21 13:53:51 [INFO] [TRAIN] epoch: 9, iter: 3190/160000, loss: 0.2273, lr: 0.000059, batch_cost: 1.2259, reader_cost: 0.00021, ips: 1.6315 samples/sec | ETA 53:23:51 2021-08-21 13:54:03 [INFO] [TRAIN] epoch: 9, iter: 3200/160000, loss: 0.2040, lr: 0.000059, batch_cost: 1.2229, reader_cost: 0.00022, ips: 1.6355 samples/sec | ETA 53:15:44 2021-08-21 13:54:15 [INFO] [TRAIN] epoch: 9, iter: 3210/160000, loss: 0.1350, lr: 0.000059, batch_cost: 1.2386, reader_cost: 0.00023, ips: 1.6147 samples/sec | ETA 53:56:47 2021-08-21 13:54:28 [INFO] [TRAIN] epoch: 9, iter: 3220/160000, loss: 0.1408, lr: 0.000059, batch_cost: 1.2267, reader_cost: 0.00022, ips: 1.6304 samples/sec | ETA 53:25:20 2021-08-21 13:54:40 [INFO] [TRAIN] epoch: 9, iter: 3230/160000, loss: 0.1560, lr: 0.000059, batch_cost: 1.2231, reader_cost: 0.00021, ips: 1.6352 samples/sec | ETA 53:15:40 2021-08-21 13:54:52 [INFO] [TRAIN] epoch: 9, iter: 3240/160000, loss: 0.1561, lr: 0.000059, batch_cost: 1.2258, reader_cost: 0.00021, ips: 1.6315 samples/sec | ETA 53:22:41 2021-08-21 13:55:04 [INFO] [TRAIN] epoch: 9, iter: 3250/160000, loss: 0.1670, lr: 0.000059, batch_cost: 1.2074, reader_cost: 0.00021, ips: 1.6565 samples/sec | ETA 52:34:15 2021-08-21 13:55:16 [INFO] [TRAIN] epoch: 9, iter: 3260/160000, loss: 0.1406, lr: 0.000059, batch_cost: 1.2344, reader_cost: 0.00020, ips: 1.6202 samples/sec | ETA 53:44:41 2021-08-21 13:55:29 [INFO] [TRAIN] epoch: 9, iter: 3270/160000, loss: 0.1119, lr: 0.000059, batch_cost: 1.2237, reader_cost: 0.00022, ips: 1.6344 samples/sec | ETA 53:16:25 2021-08-21 13:55:41 [INFO] [TRAIN] epoch: 9, iter: 3280/160000, loss: 0.1817, lr: 0.000059, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6325 samples/sec | ETA 53:19:58 2021-08-21 13:55:53 [INFO] [TRAIN] epoch: 9, iter: 3290/160000, loss: 0.1480, lr: 0.000059, batch_cost: 1.2142, reader_cost: 0.00022, ips: 1.6471 samples/sec | ETA 52:51:21 2021-08-21 13:56:05 [INFO] [TRAIN] epoch: 9, iter: 3300/160000, loss: 0.1247, lr: 0.000059, batch_cost: 1.2161, reader_cost: 0.00022, ips: 1.6447 samples/sec | ETA 52:55:55 2021-08-21 13:56:18 [INFO] [TRAIN] epoch: 9, iter: 3310/160000, loss: 0.1345, lr: 0.000059, batch_cost: 1.2253, reader_cost: 0.00022, ips: 1.6323 samples/sec | ETA 53:19:45 2021-08-21 13:56:30 [INFO] [TRAIN] epoch: 9, iter: 3320/160000, loss: 0.1350, lr: 0.000059, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 53:16:46 2021-08-21 13:56:42 [INFO] [TRAIN] epoch: 9, iter: 3330/160000, loss: 0.1371, lr: 0.000059, batch_cost: 1.2340, reader_cost: 0.00022, ips: 1.6207 samples/sec | ETA 53:42:11 2021-08-21 13:56:54 [INFO] [TRAIN] epoch: 9, iter: 3340/160000, loss: 0.1781, lr: 0.000059, batch_cost: 1.2151, reader_cost: 0.00021, ips: 1.6460 samples/sec | ETA 52:52:36 2021-08-21 13:57:09 [INFO] [TRAIN] epoch: 10, iter: 3350/160000, loss: 0.1936, lr: 0.000059, batch_cost: 1.4811, reader_cost: 0.23385, ips: 1.3503 samples/sec | ETA 64:26:54 2021-08-21 13:57:21 [INFO] [TRAIN] epoch: 10, iter: 3360/160000, loss: 0.1326, lr: 0.000059, batch_cost: 1.2211, reader_cost: 0.00098, ips: 1.6379 samples/sec | ETA 53:07:52 2021-08-21 13:57:33 [INFO] [TRAIN] epoch: 10, iter: 3370/160000, loss: 0.1540, lr: 0.000059, batch_cost: 1.2214, reader_cost: 0.00023, ips: 1.6375 samples/sec | ETA 53:08:26 2021-08-21 13:57:46 [INFO] [TRAIN] epoch: 10, iter: 3380/160000, loss: 0.1267, lr: 0.000059, batch_cost: 1.2202, reader_cost: 0.00020, ips: 1.6391 samples/sec | ETA 53:05:07 2021-08-21 13:57:58 [INFO] [TRAIN] epoch: 10, iter: 3390/160000, loss: 0.1555, lr: 0.000059, batch_cost: 1.2132, reader_cost: 0.00021, ips: 1.6485 samples/sec | ETA 52:46:37 2021-08-21 13:58:10 [INFO] [TRAIN] epoch: 10, iter: 3400/160000, loss: 0.1675, lr: 0.000059, batch_cost: 1.2236, reader_cost: 0.00023, ips: 1.6345 samples/sec | ETA 53:13:42 2021-08-21 13:58:22 [INFO] [TRAIN] epoch: 10, iter: 3410/160000, loss: 0.1645, lr: 0.000059, batch_cost: 1.2142, reader_cost: 0.00022, ips: 1.6472 samples/sec | ETA 52:48:52 2021-08-21 13:58:34 [INFO] [TRAIN] epoch: 10, iter: 3420/160000, loss: 0.1076, lr: 0.000059, batch_cost: 1.2182, reader_cost: 0.00023, ips: 1.6418 samples/sec | ETA 52:58:59 2021-08-21 13:58:47 [INFO] [TRAIN] epoch: 10, iter: 3430/160000, loss: 0.1440, lr: 0.000059, batch_cost: 1.2344, reader_cost: 0.00021, ips: 1.6202 samples/sec | ETA 53:41:08 2021-08-21 13:58:59 [INFO] [TRAIN] epoch: 10, iter: 3440/160000, loss: 0.1430, lr: 0.000059, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6305 samples/sec | ETA 53:20:36 2021-08-21 13:59:11 [INFO] [TRAIN] epoch: 10, iter: 3450/160000, loss: 0.1949, lr: 0.000059, batch_cost: 1.2162, reader_cost: 0.00022, ips: 1.6445 samples/sec | ETA 52:53:15 2021-08-21 13:59:23 [INFO] [TRAIN] epoch: 10, iter: 3460/160000, loss: 0.1688, lr: 0.000059, batch_cost: 1.2254, reader_cost: 0.00020, ips: 1.6321 samples/sec | ETA 53:17:02 2021-08-21 13:59:36 [INFO] [TRAIN] epoch: 10, iter: 3470/160000, loss: 0.1866, lr: 0.000059, batch_cost: 1.2324, reader_cost: 0.00021, ips: 1.6228 samples/sec | ETA 53:35:14 2021-08-21 13:59:48 [INFO] [TRAIN] epoch: 10, iter: 3480/160000, loss: 0.1530, lr: 0.000059, batch_cost: 1.2230, reader_cost: 0.00022, ips: 1.6353 samples/sec | ETA 53:10:21 2021-08-21 14:00:00 [INFO] [TRAIN] epoch: 10, iter: 3490/160000, loss: 0.1487, lr: 0.000059, batch_cost: 1.2332, reader_cost: 0.00021, ips: 1.6218 samples/sec | ETA 53:36:44 2021-08-21 14:00:13 [INFO] [TRAIN] epoch: 10, iter: 3500/160000, loss: 0.1202, lr: 0.000059, batch_cost: 1.2401, reader_cost: 0.00022, ips: 1.6128 samples/sec | ETA 53:54:31 2021-08-21 14:00:25 [INFO] [TRAIN] epoch: 10, iter: 3510/160000, loss: 0.1724, lr: 0.000059, batch_cost: 1.2376, reader_cost: 0.00021, ips: 1.6161 samples/sec | ETA 53:47:48 2021-08-21 14:00:37 [INFO] [TRAIN] epoch: 10, iter: 3520/160000, loss: 0.1545, lr: 0.000059, batch_cost: 1.2301, reader_cost: 0.00023, ips: 1.6259 samples/sec | ETA 53:28:03 2021-08-21 14:00:50 [INFO] [TRAIN] epoch: 10, iter: 3530/160000, loss: 0.1334, lr: 0.000059, batch_cost: 1.2356, reader_cost: 0.00022, ips: 1.6187 samples/sec | ETA 53:42:11 2021-08-21 14:01:02 [INFO] [TRAIN] epoch: 10, iter: 3540/160000, loss: 0.1026, lr: 0.000059, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6369 samples/sec | ETA 53:06:04 2021-08-21 14:01:14 [INFO] [TRAIN] epoch: 10, iter: 3550/160000, loss: 0.1249, lr: 0.000059, batch_cost: 1.2278, reader_cost: 0.00022, ips: 1.6290 samples/sec | ETA 53:21:26 2021-08-21 14:01:27 [INFO] [TRAIN] epoch: 10, iter: 3560/160000, loss: 0.1731, lr: 0.000059, batch_cost: 1.2277, reader_cost: 0.00025, ips: 1.6291 samples/sec | ETA 53:21:02 2021-08-21 14:01:39 [INFO] [TRAIN] epoch: 10, iter: 3570/160000, loss: 0.1330, lr: 0.000059, batch_cost: 1.2247, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 53:12:58 2021-08-21 14:01:51 [INFO] [TRAIN] epoch: 10, iter: 3580/160000, loss: 0.1369, lr: 0.000059, batch_cost: 1.2233, reader_cost: 0.00021, ips: 1.6349 samples/sec | ETA 53:09:10 2021-08-21 14:02:03 [INFO] [TRAIN] epoch: 10, iter: 3590/160000, loss: 0.2432, lr: 0.000059, batch_cost: 1.2207, reader_cost: 0.00021, ips: 1.6384 samples/sec | ETA 53:02:12 2021-08-21 14:02:15 [INFO] [TRAIN] epoch: 10, iter: 3600/160000, loss: 0.1571, lr: 0.000059, batch_cost: 1.2233, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 53:08:38 2021-08-21 14:02:28 [INFO] [TRAIN] epoch: 10, iter: 3610/160000, loss: 0.1590, lr: 0.000059, batch_cost: 1.2202, reader_cost: 0.00023, ips: 1.6390 samples/sec | ETA 53:00:32 2021-08-21 14:02:40 [INFO] [TRAIN] epoch: 10, iter: 3620/160000, loss: 0.1604, lr: 0.000059, batch_cost: 1.2268, reader_cost: 0.00023, ips: 1.6303 samples/sec | ETA 53:17:23 2021-08-21 14:02:52 [INFO] [TRAIN] epoch: 10, iter: 3630/160000, loss: 0.1550, lr: 0.000059, batch_cost: 1.2148, reader_cost: 0.00023, ips: 1.6463 samples/sec | ETA 52:46:05 2021-08-21 14:03:04 [INFO] [TRAIN] epoch: 10, iter: 3640/160000, loss: 0.1300, lr: 0.000059, batch_cost: 1.2331, reader_cost: 0.00021, ips: 1.6219 samples/sec | ETA 53:33:34 2021-08-21 14:03:17 [INFO] [TRAIN] epoch: 10, iter: 3650/160000, loss: 0.1537, lr: 0.000059, batch_cost: 1.2239, reader_cost: 0.00023, ips: 1.6341 samples/sec | ETA 53:09:14 2021-08-21 14:03:29 [INFO] [TRAIN] epoch: 10, iter: 3660/160000, loss: 0.1615, lr: 0.000059, batch_cost: 1.2325, reader_cost: 0.00020, ips: 1.6228 samples/sec | ETA 53:31:22 2021-08-21 14:03:41 [INFO] [TRAIN] epoch: 10, iter: 3670/160000, loss: 0.1392, lr: 0.000059, batch_cost: 1.2239, reader_cost: 0.00022, ips: 1.6342 samples/sec | ETA 53:08:45 2021-08-21 14:03:53 [INFO] [TRAIN] epoch: 10, iter: 3680/160000, loss: 0.1826, lr: 0.000059, batch_cost: 1.2204, reader_cost: 0.00021, ips: 1.6389 samples/sec | ETA 52:59:27 2021-08-21 14:04:06 [INFO] [TRAIN] epoch: 10, iter: 3690/160000, loss: 0.1401, lr: 0.000059, batch_cost: 1.2297, reader_cost: 0.00022, ips: 1.6264 samples/sec | ETA 53:23:36 2021-08-21 14:04:18 [INFO] [TRAIN] epoch: 10, iter: 3700/160000, loss: 0.1422, lr: 0.000059, batch_cost: 1.2207, reader_cost: 0.00020, ips: 1.6384 samples/sec | ETA 52:59:52 2021-08-21 14:04:30 [INFO] [TRAIN] epoch: 10, iter: 3710/160000, loss: 0.1453, lr: 0.000059, batch_cost: 1.1993, reader_cost: 0.00019, ips: 1.6677 samples/sec | ETA 52:03:54 2021-08-21 14:04:42 [INFO] [TRAIN] epoch: 10, iter: 3720/160000, loss: 0.1140, lr: 0.000059, batch_cost: 1.1900, reader_cost: 0.00015, ips: 1.6806 samples/sec | ETA 51:39:40 2021-08-21 14:04:57 [INFO] [TRAIN] epoch: 11, iter: 3730/160000, loss: 0.1413, lr: 0.000059, batch_cost: 1.4999, reader_cost: 0.23395, ips: 1.3335 samples/sec | ETA 65:06:22 2021-08-21 14:05:09 [INFO] [TRAIN] epoch: 11, iter: 3740/160000, loss: 0.1417, lr: 0.000059, batch_cost: 1.2291, reader_cost: 0.00074, ips: 1.6272 samples/sec | ETA 53:20:55 2021-08-21 14:05:21 [INFO] [TRAIN] epoch: 11, iter: 3750/160000, loss: 0.1211, lr: 0.000059, batch_cost: 1.2290, reader_cost: 0.00021, ips: 1.6274 samples/sec | ETA 53:20:23 2021-08-21 14:05:34 [INFO] [TRAIN] epoch: 11, iter: 3760/160000, loss: 0.1237, lr: 0.000059, batch_cost: 1.2253, reader_cost: 0.00022, ips: 1.6322 samples/sec | ETA 53:10:42 2021-08-21 14:05:46 [INFO] [TRAIN] epoch: 11, iter: 3770/160000, loss: 0.1120, lr: 0.000059, batch_cost: 1.2156, reader_cost: 0.00021, ips: 1.6452 samples/sec | ETA 52:45:18 2021-08-21 14:05:58 [INFO] [TRAIN] epoch: 11, iter: 3780/160000, loss: 0.1510, lr: 0.000059, batch_cost: 1.2307, reader_cost: 0.00022, ips: 1.6252 samples/sec | ETA 53:24:12 2021-08-21 14:06:10 [INFO] [TRAIN] epoch: 11, iter: 3790/160000, loss: 0.1871, lr: 0.000059, batch_cost: 1.2260, reader_cost: 0.00022, ips: 1.6313 samples/sec | ETA 53:11:53 2021-08-21 14:06:23 [INFO] [TRAIN] epoch: 11, iter: 3800/160000, loss: 0.2038, lr: 0.000059, batch_cost: 1.2228, reader_cost: 0.00021, ips: 1.6356 samples/sec | ETA 53:03:16 2021-08-21 14:06:35 [INFO] [TRAIN] epoch: 11, iter: 3810/160000, loss: 0.1396, lr: 0.000059, batch_cost: 1.2361, reader_cost: 0.00022, ips: 1.6180 samples/sec | ETA 53:37:45 2021-08-21 14:06:47 [INFO] [TRAIN] epoch: 11, iter: 3820/160000, loss: 0.1611, lr: 0.000059, batch_cost: 1.2275, reader_cost: 0.00022, ips: 1.6293 samples/sec | ETA 53:15:14 2021-08-21 14:06:59 [INFO] [TRAIN] epoch: 11, iter: 3830/160000, loss: 0.1585, lr: 0.000059, batch_cost: 1.2216, reader_cost: 0.00021, ips: 1.6372 samples/sec | ETA 52:59:40 2021-08-21 14:07:12 [INFO] [TRAIN] epoch: 11, iter: 3840/160000, loss: 0.1507, lr: 0.000059, batch_cost: 1.2263, reader_cost: 0.00020, ips: 1.6309 samples/sec | ETA 53:11:37 2021-08-21 14:07:24 [INFO] [TRAIN] epoch: 11, iter: 3850/160000, loss: 0.1407, lr: 0.000059, batch_cost: 1.2191, reader_cost: 0.00020, ips: 1.6405 samples/sec | ETA 52:52:44 2021-08-21 14:07:36 [INFO] [TRAIN] epoch: 11, iter: 3860/160000, loss: 0.1156, lr: 0.000059, batch_cost: 1.2360, reader_cost: 0.00024, ips: 1.6182 samples/sec | ETA 53:36:22 2021-08-21 14:07:49 [INFO] [TRAIN] epoch: 11, iter: 3870/160000, loss: 0.1130, lr: 0.000059, batch_cost: 1.2252, reader_cost: 0.00020, ips: 1.6324 samples/sec | ETA 53:08:14 2021-08-21 14:08:01 [INFO] [TRAIN] epoch: 11, iter: 3880/160000, loss: 0.1279, lr: 0.000059, batch_cost: 1.2279, reader_cost: 0.00021, ips: 1.6288 samples/sec | ETA 53:15:04 2021-08-21 14:08:13 [INFO] [TRAIN] epoch: 11, iter: 3890/160000, loss: 0.1154, lr: 0.000059, batch_cost: 1.2133, reader_cost: 0.00020, ips: 1.6484 samples/sec | ETA 52:36:42 2021-08-21 14:08:25 [INFO] [TRAIN] epoch: 11, iter: 3900/160000, loss: 0.1279, lr: 0.000059, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6391 samples/sec | ETA 52:54:32 2021-08-21 14:08:38 [INFO] [TRAIN] epoch: 11, iter: 3910/160000, loss: 0.1771, lr: 0.000059, batch_cost: 1.2383, reader_cost: 0.00020, ips: 1.6151 samples/sec | ETA 53:41:28 2021-08-21 14:08:50 [INFO] [TRAIN] epoch: 11, iter: 3920/160000, loss: 0.1219, lr: 0.000059, batch_cost: 1.2346, reader_cost: 0.00023, ips: 1.6200 samples/sec | ETA 53:31:35 2021-08-21 14:09:02 [INFO] [TRAIN] epoch: 11, iter: 3930/160000, loss: 0.1406, lr: 0.000059, batch_cost: 1.2359, reader_cost: 0.00024, ips: 1.6182 samples/sec | ETA 53:34:53 2021-08-21 14:09:15 [INFO] [TRAIN] epoch: 11, iter: 3940/160000, loss: 0.1429, lr: 0.000059, batch_cost: 1.2299, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 53:18:56 2021-08-21 14:09:27 [INFO] [TRAIN] epoch: 11, iter: 3950/160000, loss: 0.2477, lr: 0.000059, batch_cost: 1.2287, reader_cost: 0.00022, ips: 1.6277 samples/sec | ETA 53:15:38 2021-08-21 14:09:39 [INFO] [TRAIN] epoch: 11, iter: 3960/160000, loss: 0.1520, lr: 0.000059, batch_cost: 1.2152, reader_cost: 0.00021, ips: 1.6459 samples/sec | ETA 52:40:12 2021-08-21 14:09:51 [INFO] [TRAIN] epoch: 11, iter: 3970/160000, loss: 0.1200, lr: 0.000059, batch_cost: 1.2267, reader_cost: 0.00020, ips: 1.6304 samples/sec | ETA 53:09:58 2021-08-21 14:10:04 [INFO] [TRAIN] epoch: 11, iter: 3980/160000, loss: 0.1413, lr: 0.000059, batch_cost: 1.2322, reader_cost: 0.00023, ips: 1.6231 samples/sec | ETA 53:24:10 2021-08-21 14:10:16 [INFO] [TRAIN] epoch: 11, iter: 3990/160000, loss: 0.1350, lr: 0.000059, batch_cost: 1.2197, reader_cost: 0.00020, ips: 1.6397 samples/sec | ETA 52:51:28 2021-08-21 14:10:28 [INFO] [TRAIN] epoch: 11, iter: 4000/160000, loss: 0.1496, lr: 0.000059, batch_cost: 1.2200, reader_cost: 0.00020, ips: 1.6394 samples/sec | ETA 52:51:52 2021-08-21 14:10:28 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... /ssd1/home/wuzewu/miniconda3/envs/paddle2/lib/python3.7/site-packages/paddle/fluid/dygraph/math_op_patch.py:239: UserWarning: The dtype of left and right variables are not the same, left dtype is paddle.int32, but right dtype is paddle.bool, the right dtype will convert to paddle.int32 format(lhs_dtype, rhs_dtype, lhs_dtype)) /ssd1/home/wuzewu/miniconda3/envs/paddle2/lib/python3.7/site-packages/paddle/fluid/dygraph/math_op_patch.py:239: UserWarning: The dtype of left and right variables are not the same, left dtype is paddle.int64, but right dtype is paddle.bool, the right dtype will convert to paddle.int64 format(lhs_dtype, rhs_dtype, lhs_dtype)) 1/125 [..............................] - ETA: 8:32 - batch_cost: 4.1323 - reader cost: 0.3879 2/125 [..............................] - ETA: 6:20 - batch_cost: 3.0965 - reader cost: 0.1941 3/125 [..............................] - ETA: 5:38 - batch_cost: 2.7782 - reader cost: 0.1294 4/125 [..............................] - ETA: 5:17 - batch_cost: 2.6205 - reader cost: 0.0971 5/125 [>.............................] - ETA: 5:00 - batch_cost: 2.5077 - reader cost: 0.0777 6/125 [>.............................] - ETA: 4:48 - batch_cost: 2.4251 - reader cost: 0.0648 7/125 [>.............................] - ETA: 4:39 - batch_cost: 2.3657 - reader cost: 0.0556 8/125 [>.............................] - ETA: 4:32 - batch_cost: 2.3268 - reader cost: 0.0487 9/125 [=>............................] - ETA: 4:25 - batch_cost: 2.2926 - reader cost: 0.0433 10/125 [=>............................] - ETA: 4:20 - 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[==============>...............] - ETA: 2:08 - batch_cost: 2.0714 - reader cost: 0.0063 64/125 [==============>...............] - ETA: 2:06 - batch_cost: 2.0707 - reader cost: 0.0063 65/125 [==============>...............] - ETA: 2:04 - batch_cost: 2.0700 - reader cost: 0.0062 66/125 [==============>...............] - ETA: 2:02 - batch_cost: 2.0695 - reader cost: 0.0061 67/125 [===============>..............] - ETA: 2:00 - batch_cost: 2.0693 - reader cost: 0.0060 68/125 [===============>..............] - ETA: 1:57 - batch_cost: 2.0685 - reader cost: 0.0059 69/125 [===============>..............] - ETA: 1:55 - batch_cost: 2.0680 - reader cost: 0.0058 70/125 [===============>..............] - ETA: 1:53 - batch_cost: 2.0674 - reader cost: 0.0057 71/125 [================>.............] - ETA: 1:51 - batch_cost: 2.0666 - reader cost: 0.0057 72/125 [================>.............] - ETA: 1:49 - batch_cost: 2.0663 - reader cost: 0.0056 73/125 [================>.............] - ETA: 1:47 - 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2021-08-21 14:14:43 [INFO] [EVAL] #Images: 500 mIoU: 0.7440 Acc: 0.9548 Kappa: 0.9413 2021-08-21 14:14:43 [INFO] [EVAL] Class IoU: [0.9774 0.8096 0.9153 0.5578 0.5604 0.5704 0.6529 0.7427 0.9193 0.5657 0.9467 0.7969 0.5617 0.9436 0.7948 0.8086 0.6241 0.6323 0.7558] 2021-08-21 14:14:43 [INFO] [EVAL] Class Acc: [0.9915 0.8696 0.9469 0.8642 0.7977 0.8226 0.7971 0.8915 0.9498 0.8176 0.9643 0.8789 0.7523 0.9685 0.9275 0.846 0.9339 0.78 0.8582] 2021-08-21 14:14:46 [INFO] [EVAL] The model with the best validation mIoU (0.7440) was saved at iter 4000. 2021-08-21 14:14:58 [INFO] [TRAIN] epoch: 11, iter: 4010/160000, loss: 0.1369, lr: 0.000058, batch_cost: 1.2076, reader_cost: 0.00138, ips: 1.6562 samples/sec | ETA 52:19:27 2021-08-21 14:15:10 [INFO] [TRAIN] epoch: 11, iter: 4020/160000, loss: 0.1013, lr: 0.000058, batch_cost: 1.2185, reader_cost: 0.00021, ips: 1.6414 samples/sec | ETA 52:47:42 2021-08-21 14:15:22 [INFO] [TRAIN] epoch: 11, iter: 4030/160000, loss: 0.1081, lr: 0.000058, batch_cost: 1.2121, reader_cost: 0.00020, ips: 1.6500 samples/sec | ETA 52:30:52 2021-08-21 14:15:34 [INFO] [TRAIN] epoch: 11, iter: 4040/160000, loss: 0.1463, lr: 0.000058, batch_cost: 1.2065, reader_cost: 0.00019, ips: 1.6577 samples/sec | ETA 52:16:00 2021-08-21 14:15:47 [INFO] [TRAIN] epoch: 11, iter: 4050/160000, loss: 0.1374, lr: 0.000058, batch_cost: 1.2147, reader_cost: 0.00021, ips: 1.6465 samples/sec | ETA 52:37:07 2021-08-21 14:15:59 [INFO] [TRAIN] epoch: 11, iter: 4060/160000, loss: 0.1374, lr: 0.000058, batch_cost: 1.2206, reader_cost: 0.00020, ips: 1.6386 samples/sec | ETA 52:52:17 2021-08-21 14:16:11 [INFO] [TRAIN] epoch: 11, iter: 4070/160000, loss: 0.1242, lr: 0.000058, batch_cost: 1.2142, reader_cost: 0.00019, ips: 1.6471 samples/sec | ETA 52:35:37 2021-08-21 14:16:23 [INFO] [TRAIN] epoch: 11, iter: 4080/160000, loss: 0.1148, lr: 0.000058, batch_cost: 1.2132, reader_cost: 0.00019, ips: 1.6486 samples/sec | ETA 52:32:37 2021-08-21 14:16:35 [INFO] [TRAIN] epoch: 11, iter: 4090/160000, loss: 0.1479, lr: 0.000058, batch_cost: 1.1770, reader_cost: 0.00014, ips: 1.6992 samples/sec | ETA 50:58:29 2021-08-21 14:16:49 [INFO] [TRAIN] epoch: 12, iter: 4100/160000, loss: 0.1301, lr: 0.000058, batch_cost: 1.4556, reader_cost: 0.18068, ips: 1.3740 samples/sec | ETA 63:02:12 2021-08-21 14:17:01 [INFO] [TRAIN] epoch: 12, iter: 4110/160000, loss: 0.1382, lr: 0.000058, batch_cost: 1.1991, reader_cost: 0.00074, ips: 1.6680 samples/sec | ETA 51:55:21 2021-08-21 14:17:13 [INFO] [TRAIN] epoch: 12, iter: 4120/160000, loss: 0.1737, lr: 0.000058, batch_cost: 1.2147, reader_cost: 0.00020, ips: 1.6465 samples/sec | ETA 52:35:52 2021-08-21 14:17:25 [INFO] [TRAIN] epoch: 12, iter: 4130/160000, loss: 0.1900, lr: 0.000058, batch_cost: 1.2021, reader_cost: 0.00020, ips: 1.6638 samples/sec | ETA 52:02:45 2021-08-21 14:17:37 [INFO] [TRAIN] epoch: 12, iter: 4140/160000, loss: 0.1520, lr: 0.000058, batch_cost: 1.1998, reader_cost: 0.00020, ips: 1.6669 samples/sec | ETA 51:56:41 2021-08-21 14:17:50 [INFO] [TRAIN] epoch: 12, iter: 4150/160000, loss: 0.1537, lr: 0.000058, batch_cost: 1.2058, reader_cost: 0.00021, ips: 1.6587 samples/sec | ETA 52:12:03 2021-08-21 14:18:02 [INFO] [TRAIN] epoch: 12, iter: 4160/160000, loss: 0.1333, lr: 0.000058, batch_cost: 1.2143, reader_cost: 0.00021, ips: 1.6470 samples/sec | ETA 52:33:56 2021-08-21 14:18:14 [INFO] [TRAIN] epoch: 12, iter: 4170/160000, loss: 0.1371, lr: 0.000058, batch_cost: 1.2102, reader_cost: 0.00021, ips: 1.6527 samples/sec | ETA 52:23:01 2021-08-21 14:18:26 [INFO] [TRAIN] epoch: 12, iter: 4180/160000, loss: 0.1667, lr: 0.000058, batch_cost: 1.2040, reader_cost: 0.00020, ips: 1.6611 samples/sec | ETA 52:06:47 2021-08-21 14:18:38 [INFO] [TRAIN] epoch: 12, iter: 4190/160000, loss: 0.2055, lr: 0.000058, batch_cost: 1.2041, reader_cost: 0.00021, ips: 1.6610 samples/sec | ETA 52:06:50 2021-08-21 14:18:50 [INFO] [TRAIN] epoch: 12, iter: 4200/160000, loss: 0.1502, lr: 0.000058, batch_cost: 1.1990, reader_cost: 0.00020, ips: 1.6681 samples/sec | ETA 51:53:17 2021-08-21 14:19:02 [INFO] [TRAIN] epoch: 12, iter: 4210/160000, loss: 0.1678, lr: 0.000058, batch_cost: 1.2197, reader_cost: 0.00020, ips: 1.6397 samples/sec | ETA 52:47:00 2021-08-21 14:19:14 [INFO] [TRAIN] epoch: 12, iter: 4220/160000, loss: 0.1475, lr: 0.000058, batch_cost: 1.2023, reader_cost: 0.00019, ips: 1.6635 samples/sec | ETA 52:01:34 2021-08-21 14:19:26 [INFO] [TRAIN] epoch: 12, iter: 4230/160000, loss: 0.1806, lr: 0.000058, batch_cost: 1.2086, reader_cost: 0.00019, ips: 1.6548 samples/sec | ETA 52:17:50 2021-08-21 14:19:38 [INFO] [TRAIN] epoch: 12, iter: 4240/160000, loss: 0.1387, lr: 0.000058, batch_cost: 1.2114, reader_cost: 0.00019, ips: 1.6509 samples/sec | ETA 52:24:54 2021-08-21 14:19:50 [INFO] [TRAIN] epoch: 12, iter: 4250/160000, loss: 0.1348, lr: 0.000058, batch_cost: 1.2056, reader_cost: 0.00019, ips: 1.6589 samples/sec | ETA 52:09:37 2021-08-21 14:20:02 [INFO] [TRAIN] epoch: 12, iter: 4260/160000, loss: 0.1221, lr: 0.000058, batch_cost: 1.1972, reader_cost: 0.00018, ips: 1.6706 samples/sec | ETA 51:47:28 2021-08-21 14:20:14 [INFO] [TRAIN] epoch: 12, iter: 4270/160000, loss: 0.1300, lr: 0.000058, batch_cost: 1.2005, reader_cost: 0.00018, ips: 1.6659 samples/sec | ETA 51:56:01 2021-08-21 14:20:26 [INFO] [TRAIN] epoch: 12, iter: 4280/160000, loss: 0.1470, lr: 0.000058, batch_cost: 1.2036, reader_cost: 0.00018, ips: 1.6617 samples/sec | ETA 52:03:46 2021-08-21 14:20:38 [INFO] [TRAIN] epoch: 12, iter: 4290/160000, loss: 0.1323, lr: 0.000058, batch_cost: 1.2050, reader_cost: 0.00019, ips: 1.6598 samples/sec | ETA 52:07:06 2021-08-21 14:20:50 [INFO] [TRAIN] epoch: 12, iter: 4300/160000, loss: 0.1245, lr: 0.000058, batch_cost: 1.2023, reader_cost: 0.00019, ips: 1.6635 samples/sec | ETA 51:59:51 2021-08-21 14:21:02 [INFO] [TRAIN] epoch: 12, iter: 4310/160000, loss: 0.1633, lr: 0.000058, batch_cost: 1.2024, reader_cost: 0.00018, ips: 1.6633 samples/sec | ETA 52:00:03 2021-08-21 14:21:14 [INFO] [TRAIN] epoch: 12, iter: 4320/160000, loss: 0.1417, lr: 0.000058, batch_cost: 1.2026, reader_cost: 0.00019, ips: 1.6630 samples/sec | ETA 52:00:27 2021-08-21 14:21:27 [INFO] [TRAIN] epoch: 12, iter: 4330/160000, loss: 0.1432, lr: 0.000058, batch_cost: 1.2173, reader_cost: 0.00019, ips: 1.6430 samples/sec | ETA 52:38:20 2021-08-21 14:21:39 [INFO] [TRAIN] epoch: 12, iter: 4340/160000, loss: 0.1248, lr: 0.000058, batch_cost: 1.2206, reader_cost: 0.00019, ips: 1.6385 samples/sec | ETA 52:46:44 2021-08-21 14:21:51 [INFO] [TRAIN] epoch: 12, iter: 4350/160000, loss: 0.1269, lr: 0.000058, batch_cost: 1.2154, reader_cost: 0.00019, ips: 1.6456 samples/sec | ETA 52:32:50 2021-08-21 14:22:03 [INFO] [TRAIN] epoch: 12, iter: 4360/160000, loss: 0.1156, lr: 0.000058, batch_cost: 1.1950, reader_cost: 0.00019, ips: 1.6737 samples/sec | ETA 51:39:45 2021-08-21 14:22:15 [INFO] [TRAIN] epoch: 12, iter: 4370/160000, loss: 0.1272, lr: 0.000058, batch_cost: 1.2017, reader_cost: 0.00018, ips: 1.6643 samples/sec | ETA 51:57:01 2021-08-21 14:22:27 [INFO] [TRAIN] epoch: 12, iter: 4380/160000, loss: 0.1064, lr: 0.000058, batch_cost: 1.1923, reader_cost: 0.00018, ips: 1.6774 samples/sec | ETA 51:32:33 2021-08-21 14:22:39 [INFO] [TRAIN] epoch: 12, iter: 4390/160000, loss: 0.1577, lr: 0.000058, batch_cost: 1.2010, reader_cost: 0.00020, ips: 1.6653 samples/sec | ETA 51:54:44 2021-08-21 14:22:51 [INFO] [TRAIN] epoch: 12, iter: 4400/160000, loss: 0.1530, lr: 0.000058, batch_cost: 1.2078, reader_cost: 0.00019, ips: 1.6559 samples/sec | ETA 52:12:18 2021-08-21 14:23:03 [INFO] [TRAIN] epoch: 12, iter: 4410/160000, loss: 0.1412, lr: 0.000058, batch_cost: 1.1888, reader_cost: 0.00017, ips: 1.6824 samples/sec | ETA 51:22:43 2021-08-21 14:23:15 [INFO] [TRAIN] epoch: 12, iter: 4420/160000, loss: 0.1135, lr: 0.000058, batch_cost: 1.2027, reader_cost: 0.00020, ips: 1.6629 samples/sec | ETA 51:58:36 2021-08-21 14:23:27 [INFO] [TRAIN] epoch: 12, iter: 4430/160000, loss: 0.1229, lr: 0.000058, batch_cost: 1.2060, reader_cost: 0.00019, ips: 1.6584 samples/sec | ETA 52:06:52 2021-08-21 14:23:39 [INFO] [TRAIN] epoch: 12, iter: 4440/160000, loss: 0.1192, lr: 0.000058, batch_cost: 1.2147, reader_cost: 0.00019, ips: 1.6465 samples/sec | ETA 52:29:12 2021-08-21 14:23:51 [INFO] [TRAIN] epoch: 12, iter: 4450/160000, loss: 0.1778, lr: 0.000058, batch_cost: 1.1996, reader_cost: 0.00018, ips: 1.6672 samples/sec | ETA 51:50:03 2021-08-21 14:24:03 [INFO] [TRAIN] epoch: 12, iter: 4460/160000, loss: 0.1607, lr: 0.000058, batch_cost: 1.1788, reader_cost: 0.00014, ips: 1.6966 samples/sec | ETA 50:55:58 2021-08-21 14:24:17 [INFO] [TRAIN] epoch: 13, iter: 4470/160000, loss: 0.1812, lr: 0.000058, batch_cost: 1.4407, reader_cost: 0.18938, ips: 1.3882 samples/sec | ETA 62:14:32 2021-08-21 14:24:29 [INFO] [TRAIN] epoch: 13, iter: 4480/160000, loss: 0.1347, lr: 0.000058, batch_cost: 1.2062, reader_cost: 0.00068, ips: 1.6581 samples/sec | ETA 52:06:27 2021-08-21 14:24:42 [INFO] [TRAIN] epoch: 13, iter: 4490/160000, loss: 0.1069, lr: 0.000058, batch_cost: 1.2125, reader_cost: 0.00018, ips: 1.6495 samples/sec | ETA 52:22:30 2021-08-21 14:24:54 [INFO] [TRAIN] epoch: 13, iter: 4500/160000, loss: 0.1465, lr: 0.000058, batch_cost: 1.2112, reader_cost: 0.00021, ips: 1.6512 samples/sec | ETA 52:19:09 2021-08-21 14:25:06 [INFO] [TRAIN] epoch: 13, iter: 4510/160000, loss: 0.1299, lr: 0.000058, batch_cost: 1.2115, reader_cost: 0.00020, ips: 1.6508 samples/sec | ETA 52:19:37 2021-08-21 14:25:18 [INFO] [TRAIN] epoch: 13, iter: 4520/160000, loss: 0.1277, lr: 0.000058, batch_cost: 1.2013, reader_cost: 0.00019, ips: 1.6649 samples/sec | ETA 51:52:51 2021-08-21 14:25:30 [INFO] [TRAIN] epoch: 13, iter: 4530/160000, loss: 0.1325, lr: 0.000058, batch_cost: 1.2013, reader_cost: 0.00019, ips: 1.6649 samples/sec | ETA 51:52:45 2021-08-21 14:25:42 [INFO] [TRAIN] epoch: 13, iter: 4540/160000, loss: 0.1702, lr: 0.000058, batch_cost: 1.2078, reader_cost: 0.00018, ips: 1.6559 samples/sec | ETA 52:09:25 2021-08-21 14:25:54 [INFO] [TRAIN] epoch: 13, iter: 4550/160000, loss: 0.1119, lr: 0.000058, batch_cost: 1.1974, reader_cost: 0.00017, ips: 1.6703 samples/sec | ETA 51:42:19 2021-08-21 14:26:06 [INFO] [TRAIN] epoch: 13, iter: 4560/160000, loss: 0.1343, lr: 0.000058, batch_cost: 1.2103, reader_cost: 0.00018, ips: 1.6525 samples/sec | ETA 52:15:23 2021-08-21 14:26:18 [INFO] [TRAIN] epoch: 13, iter: 4570/160000, loss: 0.1445, lr: 0.000058, batch_cost: 1.2035, reader_cost: 0.00017, ips: 1.6619 samples/sec | ETA 51:57:32 2021-08-21 14:26:30 [INFO] [TRAIN] epoch: 13, iter: 4580/160000, loss: 0.1448, lr: 0.000058, batch_cost: 1.2173, reader_cost: 0.00020, ips: 1.6430 samples/sec | ETA 52:33:06 2021-08-21 14:26:42 [INFO] [TRAIN] epoch: 13, iter: 4590/160000, loss: 0.1533, lr: 0.000058, batch_cost: 1.1999, reader_cost: 0.00019, ips: 1.6668 samples/sec | ETA 51:47:59 2021-08-21 14:26:54 [INFO] [TRAIN] epoch: 13, iter: 4600/160000, loss: 0.1622, lr: 0.000058, batch_cost: 1.1994, reader_cost: 0.00020, ips: 1.6676 samples/sec | ETA 51:46:20 2021-08-21 14:27:06 [INFO] [TRAIN] epoch: 13, iter: 4610/160000, loss: 0.1227, lr: 0.000058, batch_cost: 1.1930, reader_cost: 0.00018, ips: 1.6764 samples/sec | ETA 51:29:45 2021-08-21 14:27:18 [INFO] [TRAIN] epoch: 13, iter: 4620/160000, loss: 0.1279, lr: 0.000058, batch_cost: 1.1978, reader_cost: 0.00018, ips: 1.6697 samples/sec | ETA 51:41:54 2021-08-21 14:27:30 [INFO] [TRAIN] epoch: 13, iter: 4630/160000, loss: 0.1228, lr: 0.000058, batch_cost: 1.1919, reader_cost: 0.00018, ips: 1.6780 samples/sec | ETA 51:26:30 2021-08-21 14:27:42 [INFO] [TRAIN] epoch: 13, iter: 4640/160000, loss: 0.1225, lr: 0.000058, batch_cost: 1.1952, reader_cost: 0.00018, ips: 1.6733 samples/sec | ETA 51:34:47 2021-08-21 14:27:54 [INFO] [TRAIN] epoch: 13, iter: 4650/160000, loss: 0.1717, lr: 0.000058, batch_cost: 1.1897, reader_cost: 0.00018, ips: 1.6810 samples/sec | ETA 51:20:27 2021-08-21 14:28:06 [INFO] [TRAIN] epoch: 13, iter: 4660/160000, loss: 0.1363, lr: 0.000058, 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[INFO] [TRAIN] epoch: 14, iter: 5180/160000, loss: 0.1514, lr: 0.000058, batch_cost: 1.2017, reader_cost: 0.00018, ips: 1.6643 samples/sec | ETA 51:40:52 2021-08-21 14:38:49 [INFO] [TRAIN] epoch: 14, iter: 5190/160000, loss: 0.1313, lr: 0.000058, batch_cost: 1.1967, reader_cost: 0.00018, ips: 1.6713 samples/sec | ETA 51:27:35 2021-08-21 14:39:01 [INFO] [TRAIN] epoch: 14, iter: 5200/160000, loss: 0.1275, lr: 0.000058, batch_cost: 1.2014, reader_cost: 0.00017, ips: 1.6648 samples/sec | ETA 51:39:32 2021-08-21 14:39:15 [INFO] [TRAIN] epoch: 15, iter: 5210/160000, loss: 0.1249, lr: 0.000058, batch_cost: 1.4084, reader_cost: 0.21365, ips: 1.4200 samples/sec | ETA 60:33:29 2021-08-21 14:39:27 [INFO] [TRAIN] epoch: 15, iter: 5220/160000, loss: 0.1144, lr: 0.000058, batch_cost: 1.2106, reader_cost: 0.00071, ips: 1.6521 samples/sec | ETA 52:02:57 2021-08-21 14:39:39 [INFO] [TRAIN] epoch: 15, iter: 5230/160000, loss: 0.1709, lr: 0.000058, batch_cost: 1.2056, reader_cost: 0.00019, ips: 1.6589 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epoch: 15, iter: 5580/160000, loss: 0.1364, lr: 0.000058, batch_cost: 1.1711, reader_cost: 0.00012, ips: 1.7079 samples/sec | ETA 50:13:54 2021-08-21 14:46:54 [INFO] [TRAIN] epoch: 16, iter: 5590/160000, loss: 0.1275, lr: 0.000058, batch_cost: 1.4304, reader_cost: 0.18820, ips: 1.3983 samples/sec | ETA 61:21:01 2021-08-21 14:47:06 [INFO] [TRAIN] epoch: 16, iter: 5600/160000, loss: 0.1045, lr: 0.000058, batch_cost: 1.1947, reader_cost: 0.00065, ips: 1.6741 samples/sec | ETA 51:14:17 2021-08-21 14:47:18 [INFO] [TRAIN] epoch: 16, iter: 5610/160000, loss: 0.1034, lr: 0.000058, batch_cost: 1.2026, reader_cost: 0.00018, ips: 1.6631 samples/sec | ETA 51:34:30 2021-08-21 14:47:30 [INFO] [TRAIN] epoch: 16, iter: 5620/160000, loss: 0.1309, lr: 0.000058, batch_cost: 1.2155, reader_cost: 0.00019, ips: 1.6454 samples/sec | ETA 52:07:27 2021-08-21 14:47:43 [INFO] [TRAIN] epoch: 16, iter: 5630/160000, loss: 0.1279, lr: 0.000058, batch_cost: 1.2089, reader_cost: 0.00020, ips: 1.6543 samples/sec | ETA 51:50:23 2021-08-21 14:47:55 [INFO] [TRAIN] epoch: 16, iter: 5640/160000, loss: 0.1208, lr: 0.000058, batch_cost: 1.2147, reader_cost: 0.00019, ips: 1.6465 samples/sec | ETA 52:05:03 2021-08-21 14:48:07 [INFO] [TRAIN] epoch: 16, iter: 5650/160000, loss: 0.1328, lr: 0.000058, batch_cost: 1.2164, reader_cost: 0.00022, ips: 1.6442 samples/sec | ETA 52:09:10 2021-08-21 14:48:19 [INFO] [TRAIN] epoch: 16, iter: 5660/160000, loss: 0.1394, lr: 0.000058, batch_cost: 1.2315, reader_cost: 0.00020, ips: 1.6240 samples/sec | ETA 52:47:51 2021-08-21 14:48:31 [INFO] [TRAIN] epoch: 16, iter: 5670/160000, loss: 0.1513, lr: 0.000058, batch_cost: 1.2169, reader_cost: 0.00021, ips: 1.6436 samples/sec | ETA 52:10:00 2021-08-21 14:48:43 [INFO] [TRAIN] epoch: 16, iter: 5680/160000, loss: 0.1489, lr: 0.000058, batch_cost: 1.2046, reader_cost: 0.00018, ips: 1.6603 samples/sec | ETA 51:38:19 2021-08-21 14:48:55 [INFO] [TRAIN] epoch: 16, iter: 5690/160000, loss: 0.1101, lr: 0.000058, batch_cost: 1.1993, 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[INFO] [TRAIN] epoch: 16, iter: 5810/160000, loss: 0.1165, lr: 0.000058, batch_cost: 1.1922, reader_cost: 0.00018, ips: 1.6776 samples/sec | ETA 51:03:39 2021-08-21 14:51:32 [INFO] [TRAIN] epoch: 16, iter: 5820/160000, loss: 0.1591, lr: 0.000058, batch_cost: 1.1931, reader_cost: 0.00019, ips: 1.6763 samples/sec | ETA 51:05:51 2021-08-21 14:51:44 [INFO] [TRAIN] epoch: 16, iter: 5830/160000, loss: 0.1393, lr: 0.000058, batch_cost: 1.2141, reader_cost: 0.00018, ips: 1.6473 samples/sec | ETA 51:59:39 2021-08-21 14:51:56 [INFO] [TRAIN] epoch: 16, iter: 5840/160000, loss: 0.1101, lr: 0.000058, batch_cost: 1.1955, reader_cost: 0.00018, ips: 1.6730 samples/sec | ETA 51:11:36 2021-08-21 14:52:08 [INFO] [TRAIN] epoch: 16, iter: 5850/160000, loss: 0.1263, lr: 0.000058, batch_cost: 1.1922, reader_cost: 0.00019, ips: 1.6775 samples/sec | ETA 51:03:00 2021-08-21 14:52:20 [INFO] [TRAIN] epoch: 16, iter: 5860/160000, loss: 0.1259, lr: 0.000058, batch_cost: 1.2006, reader_cost: 0.00018, ips: 1.6658 samples/sec | ETA 51:24:24 2021-08-21 14:52:32 [INFO] [TRAIN] epoch: 16, iter: 5870/160000, loss: 0.1295, lr: 0.000058, batch_cost: 1.2240, reader_cost: 0.00020, ips: 1.6339 samples/sec | ETA 52:24:21 2021-08-21 14:52:44 [INFO] [TRAIN] epoch: 16, iter: 5880/160000, loss: 0.1176, lr: 0.000058, batch_cost: 1.2053, reader_cost: 0.00018, ips: 1.6593 samples/sec | ETA 51:36:04 2021-08-21 14:52:56 [INFO] [TRAIN] epoch: 16, iter: 5890/160000, loss: 0.1657, lr: 0.000058, batch_cost: 1.1958, reader_cost: 0.00018, ips: 1.6725 samples/sec | ETA 51:11:24 2021-08-21 14:53:08 [INFO] [TRAIN] epoch: 16, iter: 5900/160000, loss: 0.1146, lr: 0.000058, batch_cost: 1.1937, reader_cost: 0.00018, ips: 1.6755 samples/sec | ETA 51:05:41 2021-08-21 14:53:20 [INFO] [TRAIN] epoch: 16, iter: 5910/160000, loss: 0.1402, lr: 0.000058, batch_cost: 1.2040, reader_cost: 0.00019, ips: 1.6612 samples/sec | ETA 51:31:59 2021-08-21 14:53:32 [INFO] [TRAIN] epoch: 16, iter: 5920/160000, loss: 0.1256, lr: 0.000058, 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[INFO] [TRAIN] epoch: 18, iter: 6440/160000, loss: 0.1298, lr: 0.000058, batch_cost: 1.2049, reader_cost: 0.00019, ips: 1.6599 samples/sec | ETA 51:23:44 2021-08-21 15:04:14 [INFO] [TRAIN] epoch: 18, iter: 6450/160000, loss: 0.1153, lr: 0.000058, batch_cost: 1.1995, reader_cost: 0.00019, ips: 1.6673 samples/sec | ETA 51:09:48 2021-08-21 15:04:27 [INFO] [TRAIN] epoch: 18, iter: 6460/160000, loss: 0.1194, lr: 0.000058, batch_cost: 1.2112, reader_cost: 0.00019, ips: 1.6512 samples/sec | ETA 51:39:33 2021-08-21 15:04:39 [INFO] [TRAIN] epoch: 18, iter: 6470/160000, loss: 0.1597, lr: 0.000058, batch_cost: 1.2019, reader_cost: 0.00018, ips: 1.6641 samples/sec | ETA 51:15:20 2021-08-21 15:04:51 [INFO] [TRAIN] epoch: 18, iter: 6480/160000, loss: 0.1364, lr: 0.000058, batch_cost: 1.2022, reader_cost: 0.00018, ips: 1.6637 samples/sec | ETA 51:15:58 2021-08-21 15:05:03 [INFO] [TRAIN] epoch: 18, iter: 6490/160000, loss: 0.1890, lr: 0.000058, batch_cost: 1.2006, reader_cost: 0.00018, ips: 1.6658 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51:45:12 2021-08-21 15:13:18 [INFO] [TRAIN] epoch: 19, iter: 6900/160000, loss: 0.1020, lr: 0.000057, batch_cost: 1.2125, reader_cost: 0.00018, ips: 1.6494 samples/sec | ETA 51:33:58 2021-08-21 15:13:30 [INFO] [TRAIN] epoch: 19, iter: 6910/160000, loss: 0.1060, lr: 0.000057, batch_cost: 1.2037, reader_cost: 0.00019, ips: 1.6616 samples/sec | ETA 51:11:09 2021-08-21 15:13:42 [INFO] [TRAIN] epoch: 19, iter: 6920/160000, loss: 0.1156, lr: 0.000057, batch_cost: 1.1923, reader_cost: 0.00019, ips: 1.6775 samples/sec | ETA 50:41:53 2021-08-21 15:13:54 [INFO] [TRAIN] epoch: 19, iter: 6930/160000, loss: 0.1296, lr: 0.000057, batch_cost: 1.1930, reader_cost: 0.00018, ips: 1.6764 samples/sec | ETA 50:43:36 2021-08-21 15:14:06 [INFO] [TRAIN] epoch: 19, iter: 6940/160000, loss: 0.1833, lr: 0.000057, batch_cost: 1.2125, reader_cost: 0.00019, ips: 1.6495 samples/sec | ETA 51:33:03 2021-08-21 15:14:18 [INFO] [TRAIN] epoch: 19, iter: 6950/160000, loss: 0.1785, lr: 0.000057, batch_cost: 1.1978, 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[INFO] [TRAIN] epoch: 20, iter: 7070/160000, loss: 0.1346, lr: 0.000057, batch_cost: 1.4111, reader_cost: 0.18117, ips: 1.4174 samples/sec | ETA 59:56:35 2021-08-21 15:16:57 [INFO] [TRAIN] epoch: 20, iter: 7080/160000, loss: 0.1153, lr: 0.000057, batch_cost: 1.2217, reader_cost: 0.00069, ips: 1.6370 samples/sec | ETA 51:53:46 2021-08-21 15:17:09 [INFO] [TRAIN] epoch: 20, iter: 7090/160000, loss: 0.1507, lr: 0.000057, batch_cost: 1.2042, reader_cost: 0.00020, ips: 1.6608 samples/sec | ETA 51:08:58 2021-08-21 15:17:21 [INFO] [TRAIN] epoch: 20, iter: 7100/160000, loss: 0.1443, lr: 0.000057, batch_cost: 1.2065, reader_cost: 0.00020, ips: 1.6577 samples/sec | ETA 51:14:31 2021-08-21 15:17:33 [INFO] [TRAIN] epoch: 20, iter: 7110/160000, loss: 0.1407, lr: 0.000057, batch_cost: 1.2053, reader_cost: 0.00020, ips: 1.6593 samples/sec | ETA 51:11:23 2021-08-21 15:17:45 [INFO] [TRAIN] epoch: 20, iter: 7120/160000, loss: 0.1157, lr: 0.000057, batch_cost: 1.1966, reader_cost: 0.00020, ips: 1.6714 samples/sec | ETA 50:48:56 2021-08-21 15:17:57 [INFO] [TRAIN] epoch: 20, iter: 7130/160000, loss: 0.1260, lr: 0.000057, batch_cost: 1.2024, reader_cost: 0.00020, ips: 1.6633 samples/sec | ETA 51:03:38 2021-08-21 15:18:09 [INFO] [TRAIN] epoch: 20, iter: 7140/160000, loss: 0.1200, lr: 0.000057, batch_cost: 1.1985, reader_cost: 0.00018, ips: 1.6688 samples/sec | ETA 50:53:19 2021-08-21 15:18:21 [INFO] [TRAIN] epoch: 20, iter: 7150/160000, loss: 0.2151, lr: 0.000057, batch_cost: 1.1918, reader_cost: 0.00019, ips: 1.6781 samples/sec | ETA 50:36:10 2021-08-21 15:18:33 [INFO] [TRAIN] epoch: 20, iter: 7160/160000, loss: 0.1314, lr: 0.000057, batch_cost: 1.2086, reader_cost: 0.00018, ips: 1.6548 samples/sec | ETA 51:18:41 2021-08-21 15:18:45 [INFO] [TRAIN] epoch: 20, iter: 7170/160000, loss: 0.1643, lr: 0.000057, batch_cost: 1.2169, reader_cost: 0.00019, ips: 1.6435 samples/sec | ETA 51:39:43 2021-08-21 15:18:57 [INFO] [TRAIN] epoch: 20, iter: 7180/160000, loss: 0.1343, lr: 0.000057, 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2021-08-21 15:21:21 [INFO] [TRAIN] epoch: 20, iter: 7300/160000, loss: 0.1566, lr: 0.000057, batch_cost: 1.2009, reader_cost: 0.00018, ips: 1.6654 samples/sec | ETA 50:56:16 2021-08-21 15:21:33 [INFO] [TRAIN] epoch: 20, iter: 7310/160000, loss: 0.1535, lr: 0.000057, batch_cost: 1.2073, reader_cost: 0.00019, ips: 1.6566 samples/sec | ETA 51:12:22 2021-08-21 15:21:45 [INFO] [TRAIN] epoch: 20, iter: 7320/160000, loss: 0.1313, lr: 0.000057, batch_cost: 1.1951, reader_cost: 0.00019, ips: 1.6735 samples/sec | ETA 50:41:05 2021-08-21 15:21:57 [INFO] [TRAIN] epoch: 20, iter: 7330/160000, loss: 0.2182, lr: 0.000057, batch_cost: 1.1963, reader_cost: 0.00019, ips: 1.6718 samples/sec | ETA 50:44:01 2021-08-21 15:22:09 [INFO] [TRAIN] epoch: 20, iter: 7340/160000, loss: 0.1267, lr: 0.000057, batch_cost: 1.2026, reader_cost: 0.00019, ips: 1.6630 samples/sec | ETA 50:59:51 2021-08-21 15:22:21 [INFO] [TRAIN] epoch: 20, iter: 7350/160000, loss: 0.1425, lr: 0.000057, batch_cost: 1.1960, reader_cost: 0.00019, ips: 1.6723 samples/sec | ETA 50:42:43 2021-08-21 15:22:33 [INFO] [TRAIN] epoch: 20, iter: 7360/160000, loss: 0.1275, lr: 0.000057, batch_cost: 1.2029, reader_cost: 0.00018, ips: 1.6626 samples/sec | ETA 51:00:14 2021-08-21 15:22:45 [INFO] [TRAIN] epoch: 20, iter: 7370/160000, loss: 0.1450, lr: 0.000057, batch_cost: 1.1970, reader_cost: 0.00018, ips: 1.6708 samples/sec | ETA 50:45:01 2021-08-21 15:22:57 [INFO] [TRAIN] epoch: 20, iter: 7380/160000, loss: 0.1238, lr: 0.000057, batch_cost: 1.2107, reader_cost: 0.00018, ips: 1.6519 samples/sec | ETA 51:19:43 2021-08-21 15:23:10 [INFO] [TRAIN] epoch: 20, iter: 7390/160000, loss: 0.1273, lr: 0.000057, batch_cost: 1.2171, reader_cost: 0.00020, ips: 1.6432 samples/sec | ETA 51:35:47 2021-08-21 15:23:22 [INFO] [TRAIN] epoch: 20, iter: 7400/160000, loss: 0.1075, lr: 0.000057, batch_cost: 1.2041, reader_cost: 0.00019, ips: 1.6611 samples/sec | ETA 51:02:18 2021-08-21 15:23:34 [INFO] [TRAIN] epoch: 20, iter: 7410/160000, loss: 0.1236, lr: 0.000057, batch_cost: 1.2042, reader_cost: 0.00019, ips: 1.6609 samples/sec | ETA 51:02:21 2021-08-21 15:23:46 [INFO] [TRAIN] epoch: 20, iter: 7420/160000, loss: 0.1464, lr: 0.000057, batch_cost: 1.2039, reader_cost: 0.00018, ips: 1.6613 samples/sec | ETA 51:01:31 2021-08-21 15:23:58 [INFO] [TRAIN] epoch: 20, iter: 7430/160000, loss: 0.1848, lr: 0.000057, batch_cost: 1.2020, reader_cost: 0.00017, ips: 1.6639 samples/sec | ETA 50:56:32 2021-08-21 15:24:10 [INFO] [TRAIN] epoch: 20, iter: 7440/160000, loss: 0.1338, lr: 0.000057, batch_cost: 1.1810, reader_cost: 0.00013, ips: 1.6935 samples/sec | ETA 50:02:47 2021-08-21 15:24:24 [INFO] [TRAIN] epoch: 21, iter: 7450/160000, loss: 0.1070, lr: 0.000057, batch_cost: 1.4291, reader_cost: 0.20265, ips: 1.3995 samples/sec | ETA 60:33:26 2021-08-21 15:24:36 [INFO] [TRAIN] epoch: 21, iter: 7460/160000, loss: 0.1127, lr: 0.000057, batch_cost: 1.2071, reader_cost: 0.00067, ips: 1.6569 samples/sec | ETA 51:08:44 2021-08-21 15:24:48 [INFO] [TRAIN] epoch: 21, iter: 7470/160000, loss: 0.1296, lr: 0.000057, batch_cost: 1.2015, reader_cost: 0.00020, ips: 1.6646 samples/sec | ETA 50:54:22 2021-08-21 15:25:00 [INFO] [TRAIN] epoch: 21, iter: 7480/160000, loss: 0.0988, lr: 0.000057, batch_cost: 1.2090, reader_cost: 0.00019, ips: 1.6543 samples/sec | ETA 51:13:16 2021-08-21 15:25:12 [INFO] [TRAIN] epoch: 21, iter: 7490/160000, loss: 0.1605, lr: 0.000057, batch_cost: 1.2009, reader_cost: 0.00018, ips: 1.6654 samples/sec | ETA 50:52:27 2021-08-21 15:25:24 [INFO] [TRAIN] epoch: 21, iter: 7500/160000, loss: 0.1114, lr: 0.000057, batch_cost: 1.2186, reader_cost: 0.00018, ips: 1.6412 samples/sec | ETA 51:37:16 2021-08-21 15:25:36 [INFO] [TRAIN] epoch: 21, iter: 7510/160000, loss: 0.1180, lr: 0.000057, batch_cost: 1.2056, reader_cost: 0.00019, ips: 1.6590 samples/sec | ETA 51:03:57 2021-08-21 15:25:48 [INFO] [TRAIN] epoch: 21, iter: 7520/160000, loss: 0.1835, lr: 0.000057, batch_cost: 1.2029, reader_cost: 0.00019, ips: 1.6626 samples/sec | ETA 50:57:02 2021-08-21 15:26:00 [INFO] [TRAIN] epoch: 21, iter: 7530/160000, loss: 0.1068, lr: 0.000057, batch_cost: 1.2111, reader_cost: 0.00019, ips: 1.6514 samples/sec | ETA 51:17:40 2021-08-21 15:26:13 [INFO] [TRAIN] epoch: 21, iter: 7540/160000, loss: 0.1374, lr: 0.000057, batch_cost: 1.2045, reader_cost: 0.00018, ips: 1.6604 samples/sec | ETA 51:00:37 2021-08-21 15:26:24 [INFO] [TRAIN] epoch: 21, iter: 7550/160000, loss: 0.1292, lr: 0.000057, batch_cost: 1.1972, reader_cost: 0.00018, ips: 1.6706 samples/sec | ETA 50:41:50 2021-08-21 15:26:36 [INFO] [TRAIN] epoch: 21, iter: 7560/160000, loss: 0.1302, lr: 0.000057, batch_cost: 1.1927, reader_cost: 0.00018, ips: 1.6768 samples/sec | ETA 50:30:22 2021-08-21 15:26:49 [INFO] [TRAIN] epoch: 21, iter: 7570/160000, loss: 0.1214, lr: 0.000057, batch_cost: 1.2134, reader_cost: 0.00018, ips: 1.6483 samples/sec | ETA 51:22:32 2021-08-21 15:27:01 [INFO] [TRAIN] epoch: 21, iter: 7580/160000, loss: 0.1162, lr: 0.000057, batch_cost: 1.2082, reader_cost: 0.00019, ips: 1.6553 samples/sec | ETA 51:09:15 2021-08-21 15:27:13 [INFO] [TRAIN] epoch: 21, iter: 7590/160000, loss: 0.2475, lr: 0.000057, batch_cost: 1.1961, reader_cost: 0.00018, ips: 1.6722 samples/sec | ETA 50:38:11 2021-08-21 15:27:25 [INFO] [TRAIN] epoch: 21, iter: 7600/160000, loss: 0.1177, lr: 0.000057, batch_cost: 1.1961, reader_cost: 0.00019, ips: 1.6722 samples/sec | ETA 50:38:00 2021-08-21 15:27:37 [INFO] [TRAIN] epoch: 21, iter: 7610/160000, loss: 0.0986, lr: 0.000057, batch_cost: 1.2050, reader_cost: 0.00019, ips: 1.6598 samples/sec | ETA 51:00:30 2021-08-21 15:27:49 [INFO] [TRAIN] epoch: 21, iter: 7620/160000, loss: 0.1431, lr: 0.000057, batch_cost: 1.2034, reader_cost: 0.00018, ips: 1.6620 samples/sec | ETA 50:56:13 2021-08-21 15:28:01 [INFO] [TRAIN] epoch: 21, iter: 7630/160000, loss: 0.1350, lr: 0.000057, batch_cost: 1.2116, reader_cost: 0.00019, ips: 1.6507 samples/sec | ETA 51:16:52 2021-08-21 15:28:13 [INFO] [TRAIN] epoch: 21, iter: 7640/160000, loss: 0.1401, lr: 0.000057, batch_cost: 1.2019, reader_cost: 0.00019, ips: 1.6640 samples/sec | ETA 50:52:01 2021-08-21 15:28:25 [INFO] [TRAIN] epoch: 21, iter: 7650/160000, loss: 0.1336, lr: 0.000057, batch_cost: 1.2079, reader_cost: 0.00019, ips: 1.6558 samples/sec | ETA 51:07:01 2021-08-21 15:28:37 [INFO] [TRAIN] epoch: 21, iter: 7660/160000, loss: 0.1067, lr: 0.000057, batch_cost: 1.2123, reader_cost: 0.00018, ips: 1.6498 samples/sec | ETA 51:18:00 2021-08-21 15:28:49 [INFO] [TRAIN] epoch: 21, iter: 7670/160000, loss: 0.1581, lr: 0.000057, batch_cost: 1.2024, reader_cost: 0.00019, ips: 1.6633 samples/sec | ETA 50:52:42 2021-08-21 15:29:01 [INFO] [TRAIN] epoch: 21, iter: 7680/160000, loss: 0.1542, lr: 0.000057, batch_cost: 1.1993, reader_cost: 0.00018, ips: 1.6677 samples/sec | ETA 50:44:31 2021-08-21 15:29:13 [INFO] [TRAIN] epoch: 21, iter: 7690/160000, loss: 0.1525, lr: 0.000057, batch_cost: 1.2128, reader_cost: 0.00019, ips: 1.6491 samples/sec | ETA 51:18:38 2021-08-21 15:29:25 [INFO] [TRAIN] epoch: 21, iter: 7700/160000, loss: 0.1331, lr: 0.000057, batch_cost: 1.2083, reader_cost: 0.00019, ips: 1.6552 samples/sec | ETA 51:07:08 2021-08-21 15:29:37 [INFO] [TRAIN] epoch: 21, iter: 7710/160000, loss: 0.1036, lr: 0.000057, batch_cost: 1.1961, reader_cost: 0.00018, ips: 1.6721 samples/sec | ETA 50:35:54 2021-08-21 15:29:49 [INFO] [TRAIN] epoch: 21, iter: 7720/160000, loss: 0.1934, lr: 0.000057, batch_cost: 1.1981, reader_cost: 0.00020, ips: 1.6692 samples/sec | ETA 50:40:54 2021-08-21 15:30:01 [INFO] [TRAIN] epoch: 21, iter: 7730/160000, loss: 0.1300, lr: 0.000057, batch_cost: 1.2039, reader_cost: 0.00019, ips: 1.6612 samples/sec | ETA 50:55:20 2021-08-21 15:30:13 [INFO] [TRAIN] epoch: 21, iter: 7740/160000, loss: 0.1184, lr: 0.000057, batch_cost: 1.2101, reader_cost: 0.00020, ips: 1.6528 samples/sec | ETA 51:10:46 2021-08-21 15:30:25 [INFO] [TRAIN] epoch: 21, iter: 7750/160000, loss: 0.1239, lr: 0.000057, batch_cost: 1.1987, reader_cost: 0.00019, ips: 1.6685 samples/sec | ETA 50:41:42 2021-08-21 15:30:37 [INFO] [TRAIN] epoch: 21, iter: 7760/160000, loss: 0.1011, lr: 0.000057, batch_cost: 1.2038, reader_cost: 0.00018, ips: 1.6614 samples/sec | ETA 50:54:24 2021-08-21 15:30:49 [INFO] [TRAIN] epoch: 21, iter: 7770/160000, loss: 0.1057, lr: 0.000057, batch_cost: 1.2046, reader_cost: 0.00018, ips: 1.6603 samples/sec | ETA 50:56:11 2021-08-21 15:31:01 [INFO] [TRAIN] epoch: 21, iter: 7780/160000, loss: 0.1348, lr: 0.000057, batch_cost: 1.2078, reader_cost: 0.00018, ips: 1.6560 samples/sec | ETA 51:04:04 2021-08-21 15:31:13 [INFO] [TRAIN] epoch: 21, iter: 7790/160000, loss: 0.1152, lr: 0.000057, batch_cost: 1.1959, reader_cost: 0.00018, ips: 1.6723 samples/sec | ETA 50:33:54 2021-08-21 15:31:26 [INFO] [TRAIN] epoch: 21, iter: 7800/160000, loss: 0.1129, lr: 0.000057, batch_cost: 1.2210, reader_cost: 0.00019, ips: 1.6380 samples/sec | ETA 51:37:20 2021-08-21 15:31:37 [INFO] [TRAIN] epoch: 21, iter: 7810/160000, loss: 0.1309, lr: 0.000057, batch_cost: 1.1749, reader_cost: 0.00014, ips: 1.7023 samples/sec | ETA 49:40:06 2021-08-21 15:31:52 [INFO] [TRAIN] epoch: 22, iter: 7820/160000, loss: 0.1151, lr: 0.000057, batch_cost: 1.4308, reader_cost: 0.20334, ips: 1.3978 samples/sec | ETA 60:29:06 2021-08-21 15:32:04 [INFO] [TRAIN] epoch: 22, iter: 7830/160000, loss: 0.1080, lr: 0.000057, batch_cost: 1.2047, reader_cost: 0.00068, ips: 1.6601 samples/sec | ETA 50:55:24 2021-08-21 15:32:16 [INFO] [TRAIN] epoch: 22, iter: 7840/160000, loss: 0.1114, lr: 0.000057, batch_cost: 1.2052, reader_cost: 0.00020, ips: 1.6595 samples/sec | ETA 50:56:22 2021-08-21 15:32:28 [INFO] [TRAIN] epoch: 22, iter: 7850/160000, loss: 0.1054, lr: 0.000057, batch_cost: 1.2019, reader_cost: 0.00019, ips: 1.6641 samples/sec | ETA 50:47:46 2021-08-21 15:32:40 [INFO] [TRAIN] epoch: 22, iter: 7860/160000, loss: 0.1520, lr: 0.000057, batch_cost: 1.2100, reader_cost: 0.00019, ips: 1.6529 samples/sec | ETA 51:08:10 2021-08-21 15:32:52 [INFO] [TRAIN] epoch: 22, iter: 7870/160000, loss: 0.1600, lr: 0.000057, batch_cost: 1.2014, reader_cost: 0.00019, ips: 1.6647 samples/sec | ETA 50:46:09 2021-08-21 15:33:04 [INFO] [TRAIN] epoch: 22, iter: 7880/160000, loss: 0.1129, lr: 0.000057, batch_cost: 1.2081, reader_cost: 0.00018, ips: 1.6555 samples/sec | ETA 51:02:59 2021-08-21 15:33:16 [INFO] [TRAIN] epoch: 22, iter: 7890/160000, loss: 0.1198, lr: 0.000057, batch_cost: 1.1974, reader_cost: 0.00018, ips: 1.6703 samples/sec | ETA 50:35:35 2021-08-21 15:33:28 [INFO] [TRAIN] epoch: 22, iter: 7900/160000, loss: 0.1001, lr: 0.000057, batch_cost: 1.1955, reader_cost: 0.00019, ips: 1.6730 samples/sec | ETA 50:30:33 2021-08-21 15:33:40 [INFO] [TRAIN] epoch: 22, iter: 7910/160000, loss: 0.1512, lr: 0.000057, batch_cost: 1.2033, reader_cost: 0.00018, ips: 1.6621 samples/sec | ETA 50:50:10 2021-08-21 15:33:52 [INFO] [TRAIN] epoch: 22, iter: 7920/160000, loss: 0.1217, lr: 0.000057, batch_cost: 1.1971, reader_cost: 0.00018, ips: 1.6706 samples/sec | ETA 50:34:22 2021-08-21 15:34:04 [INFO] [TRAIN] epoch: 22, iter: 7930/160000, loss: 0.1114, lr: 0.000057, batch_cost: 1.1976, reader_cost: 0.00018, ips: 1.6699 samples/sec | ETA 50:35:25 2021-08-21 15:34:16 [INFO] [TRAIN] epoch: 22, iter: 7940/160000, loss: 0.1554, lr: 0.000057, batch_cost: 1.1939, reader_cost: 0.00018, ips: 1.6752 samples/sec | ETA 50:25:41 2021-08-21 15:34:28 [INFO] [TRAIN] epoch: 22, iter: 7950/160000, loss: 0.0933, lr: 0.000057, batch_cost: 1.2013, reader_cost: 0.00017, ips: 1.6649 samples/sec | ETA 50:44:15 2021-08-21 15:34:40 [INFO] [TRAIN] epoch: 22, iter: 7960/160000, loss: 0.0953, lr: 0.000057, batch_cost: 1.1958, reader_cost: 0.00018, ips: 1.6725 samples/sec | ETA 50:30:08 2021-08-21 15:34:52 [INFO] [TRAIN] epoch: 22, iter: 7970/160000, loss: 0.0986, lr: 0.000057, batch_cost: 1.1975, reader_cost: 0.00020, ips: 1.6701 samples/sec | ETA 50:34:21 2021-08-21 15:35:04 [INFO] [TRAIN] epoch: 22, iter: 7980/160000, loss: 0.1196, lr: 0.000057, batch_cost: 1.1991, reader_cost: 0.00019, ips: 1.6679 samples/sec | ETA 50:38:14 2021-08-21 15:35:16 [INFO] [TRAIN] epoch: 22, iter: 7990/160000, loss: 0.1476, lr: 0.000057, batch_cost: 1.2116, reader_cost: 0.00018, ips: 1.6507 samples/sec | ETA 51:09:34 2021-08-21 15:35:28 [INFO] [TRAIN] epoch: 22, iter: 8000/160000, loss: 0.0883, lr: 0.000057, batch_cost: 1.1903, reader_cost: 0.00018, ips: 1.6803 samples/sec | ETA 50:15:20 2021-08-21 15:35:28 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 5:01 - batch_cost: 2.4352 - reader cost: 0.3625 2/125 [..............................] - ETA: 4:33 - batch_cost: 2.2245 - reader cost: 0.1814 3/125 [..............................] - ETA: 4:19 - batch_cost: 2.1247 - reader cost: 0.1210 4/125 [..............................] - ETA: 4:09 - batch_cost: 2.0589 - reader cost: 0.0908 5/125 [>.............................] - ETA: 4:06 - batch_cost: 2.0559 - reader cost: 0.0727 6/125 [>.............................] - ETA: 4:03 - batch_cost: 2.0423 - reader cost: 0.0606 7/125 [>.............................] - ETA: 3:59 - batch_cost: 2.0287 - reader cost: 0.0519 8/125 [>.............................] - ETA: 3:55 - batch_cost: 2.0144 - reader cost: 0.0455 9/125 [=>............................] - ETA: 3:52 - batch_cost: 2.0040 - reader cost: 0.0404 10/125 [=>............................] - ETA: 3:50 - batch_cost: 2.0012 - reader cost: 0.0364 11/125 [=>............................] - ETA: 3:47 - batch_cost: 1.9921 - reader cost: 0.0331 12/125 [=>............................] - ETA: 3:45 - batch_cost: 1.9918 - reader cost: 0.0304 13/125 [==>...........................] - ETA: 3:42 - batch_cost: 1.9866 - reader cost: 0.0281 14/125 [==>...........................] - ETA: 3:40 - batch_cost: 1.9831 - reader cost: 0.0261 15/125 [==>...........................] - ETA: 3:37 - batch_cost: 1.9797 - reader cost: 0.0243 16/125 [==>...........................] - ETA: 3:35 - batch_cost: 1.9771 - reader cost: 0.0228 17/125 [===>..........................] - ETA: 3:33 - batch_cost: 1.9783 - reader cost: 0.0215 18/125 [===>..........................] - ETA: 3:31 - batch_cost: 1.9757 - reader cost: 0.0203 19/125 [===>..........................] - ETA: 3:29 - batch_cost: 1.9735 - reader cost: 0.0193 20/125 [===>..........................] - ETA: 3:27 - batch_cost: 1.9736 - reader cost: 0.0183 21/125 [====>.........................] - ETA: 3:25 - batch_cost: 1.9726 - reader cost: 0.0174 22/125 [====>.........................] - ETA: 3:23 - batch_cost: 1.9731 - reader cost: 0.0167 23/125 [====>.........................] - ETA: 3:21 - batch_cost: 1.9718 - reader cost: 0.0159 24/125 [====>.........................] - ETA: 3:19 - batch_cost: 1.9718 - reader cost: 0.0153 25/125 [=====>........................] - ETA: 3:17 - batch_cost: 1.9703 - reader cost: 0.0147 26/125 [=====>........................] - ETA: 3:14 - batch_cost: 1.9691 - reader cost: 0.0141 27/125 [=====>........................] - ETA: 3:12 - batch_cost: 1.9659 - reader cost: 0.0136 28/125 [=====>........................] - ETA: 3:10 - batch_cost: 1.9658 - reader cost: 0.0131 29/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.9641 - reader cost: 0.0127 30/125 [======>.......................] - ETA: 3:06 - batch_cost: 1.9627 - reader cost: 0.0123 31/125 [======>.......................] - ETA: 3:04 - batch_cost: 1.9620 - reader cost: 0.0119 32/125 [======>.......................] - ETA: 3:02 - batch_cost: 1.9591 - reader cost: 0.0115 33/125 [======>.......................] - ETA: 3:00 - batch_cost: 1.9577 - reader cost: 0.0112 34/125 [=======>......................] - ETA: 2:58 - batch_cost: 1.9561 - reader cost: 0.0108 35/125 [=======>......................] - ETA: 2:55 - batch_cost: 1.9546 - reader cost: 0.0105 36/125 [=======>......................] - ETA: 2:53 - batch_cost: 1.9540 - reader cost: 0.0103 37/125 [=======>......................] - ETA: 2:51 - batch_cost: 1.9519 - reader cost: 0.0100 38/125 [========>.....................] - ETA: 2:49 - batch_cost: 1.9508 - reader cost: 0.0097 39/125 [========>.....................] - ETA: 2:47 - batch_cost: 1.9497 - reader cost: 0.0095 40/125 [========>.....................] - ETA: 2:45 - batch_cost: 1.9477 - reader cost: 0.0092 41/125 [========>.....................] - ETA: 2:43 - batch_cost: 1.9476 - reader cost: 0.0090 42/125 [=========>....................] - ETA: 2:41 - batch_cost: 1.9458 - reader cost: 0.0088 43/125 [=========>....................] - ETA: 2:39 - batch_cost: 1.9446 - reader cost: 0.0086 44/125 [=========>....................] - ETA: 2:37 - batch_cost: 1.9440 - reader cost: 0.0084 45/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.9436 - reader cost: 0.0082 46/125 [==========>...................] - ETA: 2:33 - batch_cost: 1.9435 - reader cost: 0.0081 47/125 [==========>...................] - ETA: 2:31 - batch_cost: 1.9426 - reader cost: 0.0079 48/125 [==========>...................] - ETA: 2:29 - batch_cost: 1.9418 - reader cost: 0.0077 49/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.9410 - reader cost: 0.0076 50/125 [===========>..................] - ETA: 2:25 - batch_cost: 1.9407 - reader cost: 0.0074 51/125 [===========>..................] - ETA: 2:23 - batch_cost: 1.9401 - reader cost: 0.0073 52/125 [===========>..................] - ETA: 2:21 - batch_cost: 1.9398 - reader cost: 0.0072 53/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.9395 - reader cost: 0.0070 54/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.9390 - reader cost: 0.0069 55/125 [============>.................] - ETA: 2:15 - batch_cost: 1.9384 - reader cost: 0.0068 56/125 [============>.................] - ETA: 2:13 - batch_cost: 1.9379 - reader cost: 0.0067 57/125 [============>.................] - ETA: 2:11 - batch_cost: 1.9372 - reader cost: 0.0065 58/125 [============>.................] - ETA: 2:09 - batch_cost: 1.9367 - reader cost: 0.0064 59/125 [=============>................] - ETA: 2:07 - batch_cost: 1.9362 - reader cost: 0.0063 60/125 [=============>................] - ETA: 2:05 - batch_cost: 1.9357 - reader cost: 0.0062 61/125 [=============>................] - ETA: 2:03 - batch_cost: 1.9353 - reader cost: 0.0061 62/125 [=============>................] - ETA: 2:01 - batch_cost: 1.9347 - reader cost: 0.0060 63/125 [==============>...............] - ETA: 1:59 - batch_cost: 1.9343 - reader cost: 0.0059 64/125 [==============>...............] - ETA: 1:57 - batch_cost: 1.9339 - reader cost: 0.0059 65/125 [==============>...............] - ETA: 1:56 - batch_cost: 1.9339 - reader cost: 0.0058 66/125 [==============>...............] - ETA: 1:54 - batch_cost: 1.9336 - reader cost: 0.0057 67/125 [===============>..............] - ETA: 1:52 - batch_cost: 1.9330 - reader cost: 0.0056 68/125 [===============>..............] - ETA: 1:50 - batch_cost: 1.9328 - reader cost: 0.0055 69/125 [===============>..............] - ETA: 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[=======================>......] - ETA: 46s - batch_cost: 1.9279 - reader cost: 0.0038 102/125 [=======================>......] - ETA: 44s - batch_cost: 1.9282 - reader cost: 0.0037 103/125 [=======================>......] - ETA: 42s - batch_cost: 1.9284 - reader cost: 0.0037 104/125 [=======================>......] - ETA: 40s - batch_cost: 1.9281 - reader cost: 0.0037 105/125 [========================>.....] - ETA: 38s - batch_cost: 1.9282 - reader cost: 0.0036 106/125 [========================>.....] - ETA: 36s - batch_cost: 1.9281 - reader cost: 0.0036 107/125 [========================>.....] - ETA: 34s - batch_cost: 1.9282 - reader cost: 0.0036 108/125 [========================>.....] - ETA: 32s - batch_cost: 1.9284 - reader cost: 0.0035 109/125 [=========================>....] - ETA: 30s - batch_cost: 1.9283 - reader cost: 0.0035 110/125 [=========================>....] - ETA: 28s - batch_cost: 1.9285 - reader cost: 0.0035 111/125 [=========================>....] - ETA: 27s - 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[============================>.] - ETA: 5s - batch_cost: 1.9280 - reader cost: 0.0032 123/125 [============================>.] - ETA: 3s - batch_cost: 1.9279 - reader cost: 0.0031 124/125 [============================>.] - ETA: 1s - batch_cost: 1.9274 - reader cost: 0.0031 125/125 [==============================] - 241s 2s/step - batch_cost: 1.9270 - reader cost: 0.0031 2021-08-21 15:39:29 [INFO] [EVAL] #Images: 500 mIoU: 0.7763 Acc: 0.9593 Kappa: 0.9471 2021-08-21 15:39:29 [INFO] [EVAL] Class IoU: [0.9803 0.8356 0.9235 0.5925 0.5875 0.6125 0.6803 0.7688 0.9238 0.6267 0.9513 0.8086 0.5923 0.9488 0.8581 0.8807 0.7693 0.6438 0.7647] 2021-08-21 15:39:29 [INFO] [EVAL] Class Acc: [0.9912 0.9068 0.9533 0.8829 0.6903 0.8075 0.8306 0.8873 0.96 0.8299 0.9717 0.8777 0.7778 0.9712 0.9496 0.9387 0.8615 0.7684 0.8596] 2021-08-21 15:39:33 [INFO] [EVAL] The model with the best validation mIoU (0.7763) was saved at iter 8000. 2021-08-21 15:39:44 [INFO] [TRAIN] epoch: 22, iter: 8010/160000, loss: 0.1210, lr: 0.000057, batch_cost: 1.1953, reader_cost: 0.00061, ips: 1.6733 samples/sec | ETA 50:27:47 2021-08-21 15:39:56 [INFO] [TRAIN] epoch: 22, iter: 8020/160000, loss: 0.1029, lr: 0.000057, batch_cost: 1.1921, reader_cost: 0.00018, ips: 1.6778 samples/sec | ETA 50:19:30 2021-08-21 15:40:08 [INFO] [TRAIN] epoch: 22, iter: 8030/160000, loss: 0.1207, lr: 0.000057, batch_cost: 1.2001, reader_cost: 0.00019, ips: 1.6666 samples/sec | ETA 50:39:35 2021-08-21 15:40:20 [INFO] [TRAIN] epoch: 22, iter: 8040/160000, loss: 0.1137, lr: 0.000057, batch_cost: 1.2083, reader_cost: 0.00020, ips: 1.6552 samples/sec | ETA 51:00:20 2021-08-21 15:40:32 [INFO] [TRAIN] epoch: 22, iter: 8050/160000, loss: 0.1297, lr: 0.000057, batch_cost: 1.1975, reader_cost: 0.00019, ips: 1.6701 samples/sec | ETA 50:32:40 2021-08-21 15:40:44 [INFO] [TRAIN] epoch: 22, iter: 8060/160000, loss: 0.1412, lr: 0.000057, batch_cost: 1.2030, reader_cost: 0.00019, ips: 1.6626 samples/sec | ETA 50:46:18 2021-08-21 15:40:56 [INFO] [TRAIN] epoch: 22, iter: 8070/160000, loss: 0.1128, lr: 0.000057, batch_cost: 1.1935, reader_cost: 0.00018, ips: 1.6757 samples/sec | ETA 50:22:13 2021-08-21 15:41:08 [INFO] [TRAIN] epoch: 22, iter: 8080/160000, loss: 0.0967, lr: 0.000057, batch_cost: 1.2086, reader_cost: 0.00066, ips: 1.6548 samples/sec | ETA 51:00:09 2021-08-21 15:41:21 [INFO] [TRAIN] epoch: 22, iter: 8090/160000, loss: 0.1027, lr: 0.000057, batch_cost: 1.2094, reader_cost: 0.00017, ips: 1.6537 samples/sec | ETA 51:02:01 2021-08-21 15:41:33 [INFO] [TRAIN] epoch: 22, iter: 8100/160000, loss: 0.0883, lr: 0.000057, batch_cost: 1.2043, reader_cost: 0.00018, ips: 1.6607 samples/sec | ETA 50:48:53 2021-08-21 15:41:45 [INFO] [TRAIN] epoch: 22, iter: 8110/160000, loss: 0.1602, lr: 0.000057, batch_cost: 1.1992, reader_cost: 0.00017, ips: 1.6677 samples/sec | ETA 50:35:50 2021-08-21 15:41:57 [INFO] [TRAIN] epoch: 22, iter: 8120/160000, loss: 0.1415, lr: 0.000057, batch_cost: 1.2025, reader_cost: 0.00018, ips: 1.6632 samples/sec | ETA 50:43:51 2021-08-21 15:42:09 [INFO] [TRAIN] epoch: 22, iter: 8130/160000, loss: 0.0871, lr: 0.000057, batch_cost: 1.1990, reader_cost: 0.00018, ips: 1.6680 samples/sec | ETA 50:34:56 2021-08-21 15:42:21 [INFO] [TRAIN] epoch: 22, iter: 8140/160000, loss: 0.1129, lr: 0.000057, batch_cost: 1.2058, reader_cost: 0.00019, ips: 1.6586 samples/sec | ETA 50:51:58 2021-08-21 15:42:33 [INFO] [TRAIN] epoch: 22, iter: 8150/160000, loss: 0.1360, lr: 0.000057, batch_cost: 1.2152, reader_cost: 0.00021, ips: 1.6458 samples/sec | ETA 51:15:26 2021-08-21 15:42:45 [INFO] [TRAIN] epoch: 22, iter: 8160/160000, loss: 0.1262, lr: 0.000057, batch_cost: 1.1960, reader_cost: 0.00019, ips: 1.6723 samples/sec | ETA 50:26:37 2021-08-21 15:42:57 [INFO] [TRAIN] epoch: 22, iter: 8170/160000, loss: 0.1245, lr: 0.000057, batch_cost: 1.1985, reader_cost: 0.00018, ips: 1.6688 samples/sec | ETA 50:32:45 2021-08-21 15:43:09 [INFO] [TRAIN] epoch: 22, iter: 8180/160000, loss: 0.1109, lr: 0.000057, batch_cost: 1.1846, reader_cost: 0.00015, ips: 1.6883 samples/sec | ETA 49:57:28 2021-08-21 15:43:23 [INFO] [TRAIN] epoch: 23, iter: 8190/160000, loss: 0.1076, lr: 0.000057, batch_cost: 1.4264, reader_cost: 0.21034, ips: 1.4021 samples/sec | ETA 60:09:07 2021-08-21 15:43:35 [INFO] [TRAIN] epoch: 23, iter: 8200/160000, loss: 0.0885, lr: 0.000057, batch_cost: 1.2003, reader_cost: 0.00076, ips: 1.6663 samples/sec | ETA 50:36:44 2021-08-21 15:43:47 [INFO] [TRAIN] epoch: 23, iter: 8210/160000, loss: 0.1567, lr: 0.000057, batch_cost: 1.2085, reader_cost: 0.00019, ips: 1.6549 samples/sec | ETA 50:57:18 2021-08-21 15:43:59 [INFO] [TRAIN] epoch: 23, iter: 8220/160000, loss: 0.1094, lr: 0.000057, batch_cost: 1.2087, reader_cost: 0.00018, ips: 1.6547 samples/sec | ETA 50:57:38 2021-08-21 15:44:11 [INFO] [TRAIN] epoch: 23, iter: 8230/160000, loss: 0.1037, lr: 0.000057, batch_cost: 1.1976, reader_cost: 0.00018, ips: 1.6700 samples/sec | ETA 50:29:23 2021-08-21 15:44:23 [INFO] [TRAIN] epoch: 23, iter: 8240/160000, loss: 0.1421, lr: 0.000057, batch_cost: 1.2013, reader_cost: 0.00017, ips: 1.6648 samples/sec | ETA 50:38:32 2021-08-21 15:44:35 [INFO] [TRAIN] epoch: 23, iter: 8250/160000, loss: 0.1391, lr: 0.000057, batch_cost: 1.2128, reader_cost: 0.00018, ips: 1.6490 samples/sec | ETA 51:07:27 2021-08-21 15:44:47 [INFO] [TRAIN] epoch: 23, iter: 8260/160000, loss: 0.1500, lr: 0.000057, batch_cost: 1.2154, reader_cost: 0.00018, ips: 1.6456 samples/sec | ETA 51:13:41 2021-08-21 15:44:59 [INFO] [TRAIN] epoch: 23, iter: 8270/160000, loss: 0.1278, lr: 0.000057, batch_cost: 1.2021, reader_cost: 0.00017, ips: 1.6637 samples/sec | ETA 50:39:59 2021-08-21 15:45:11 [INFO] [TRAIN] epoch: 23, iter: 8280/160000, loss: 0.1063, lr: 0.000057, batch_cost: 1.2032, reader_cost: 0.00018, ips: 1.6622 samples/sec | ETA 50:42:35 2021-08-21 15:45:23 [INFO] [TRAIN] epoch: 23, iter: 8290/160000, loss: 0.0919, lr: 0.000057, batch_cost: 1.1999, reader_cost: 0.00018, ips: 1.6668 samples/sec | ETA 50:33:58 2021-08-21 15:45:36 [INFO] [TRAIN] epoch: 23, iter: 8300/160000, loss: 0.1649, lr: 0.000057, batch_cost: 1.2249, reader_cost: 0.00018, ips: 1.6328 samples/sec | ETA 51:36:55 2021-08-21 15:45:48 [INFO] [TRAIN] epoch: 23, iter: 8310/160000, loss: 0.1206, lr: 0.000057, batch_cost: 1.1990, reader_cost: 0.00019, ips: 1.6681 samples/sec | ETA 50:31:10 2021-08-21 15:46:00 [INFO] [TRAIN] epoch: 23, iter: 8320/160000, loss: 0.0900, lr: 0.000057, batch_cost: 1.2086, reader_cost: 0.00019, ips: 1.6549 samples/sec | ETA 50:55:15 2021-08-21 15:46:12 [INFO] [TRAIN] epoch: 23, iter: 8330/160000, loss: 0.1221, lr: 0.000057, batch_cost: 1.1959, reader_cost: 0.00019, ips: 1.6724 samples/sec | ETA 50:22:56 2021-08-21 15:46:24 [INFO] [TRAIN] epoch: 23, iter: 8340/160000, loss: 0.1006, lr: 0.000057, batch_cost: 1.2062, reader_cost: 0.00020, ips: 1.6581 samples/sec | ETA 50:48:55 2021-08-21 15:46:36 [INFO] [TRAIN] epoch: 23, iter: 8350/160000, loss: 0.1139, lr: 0.000057, batch_cost: 1.1953, reader_cost: 0.00019, ips: 1.6733 samples/sec | ETA 50:21:02 2021-08-21 15:46:48 [INFO] [TRAIN] epoch: 23, iter: 8360/160000, loss: 0.0917, lr: 0.000057, batch_cost: 1.2102, reader_cost: 0.00020, ips: 1.6526 samples/sec | ETA 50:58:36 2021-08-21 15:47:00 [INFO] [TRAIN] epoch: 23, iter: 8370/160000, loss: 0.1180, lr: 0.000057, batch_cost: 1.1991, reader_cost: 0.00018, ips: 1.6679 samples/sec | ETA 50:30:20 2021-08-21 15:47:12 [INFO] [TRAIN] epoch: 23, iter: 8380/160000, loss: 0.0970, lr: 0.000057, batch_cost: 1.2134, reader_cost: 0.00017, ips: 1.6483 samples/sec | ETA 51:06:09 2021-08-21 15:47:24 [INFO] [TRAIN] epoch: 23, iter: 8390/160000, loss: 0.1380, lr: 0.000057, batch_cost: 1.2126, reader_cost: 0.00018, ips: 1.6494 samples/sec | ETA 51:03:55 2021-08-21 15:47:36 [INFO] [TRAIN] epoch: 23, iter: 8400/160000, loss: 0.0887, lr: 0.000057, batch_cost: 1.2187, reader_cost: 0.00018, ips: 1.6410 samples/sec | ETA 51:19:20 2021-08-21 15:47:48 [INFO] [TRAIN] epoch: 23, iter: 8410/160000, loss: 0.1179, lr: 0.000057, batch_cost: 1.2126, reader_cost: 0.00018, ips: 1.6494 samples/sec | ETA 51:03:31 2021-08-21 15:48:00 [INFO] [TRAIN] epoch: 23, iter: 8420/160000, loss: 0.1236, lr: 0.000057, batch_cost: 1.1985, reader_cost: 0.00018, ips: 1.6687 samples/sec | ETA 50:27:50 2021-08-21 15:48:12 [INFO] [TRAIN] epoch: 23, iter: 8430/160000, loss: 0.1293, lr: 0.000057, batch_cost: 1.2016, reader_cost: 0.00019, ips: 1.6645 samples/sec | ETA 50:35:20 2021-08-21 15:48:24 [INFO] [TRAIN] epoch: 23, iter: 8440/160000, loss: 0.1319, lr: 0.000057, batch_cost: 1.1941, reader_cost: 0.00018, ips: 1.6749 samples/sec | ETA 50:16:13 2021-08-21 15:48:36 [INFO] [TRAIN] epoch: 23, iter: 8450/160000, loss: 0.1221, lr: 0.000057, batch_cost: 1.1976, reader_cost: 0.00018, ips: 1.6701 samples/sec | ETA 50:24:50 2021-08-21 15:48:48 [INFO] [TRAIN] epoch: 23, iter: 8460/160000, loss: 0.1077, lr: 0.000057, batch_cost: 1.1923, reader_cost: 0.00018, ips: 1.6774 samples/sec | ETA 50:11:27 2021-08-21 15:49:00 [INFO] [TRAIN] epoch: 23, iter: 8470/160000, loss: 0.1477, lr: 0.000057, batch_cost: 1.1954, reader_cost: 0.00018, ips: 1.6730 samples/sec | ETA 50:19:03 2021-08-21 15:49:12 [INFO] [TRAIN] epoch: 23, iter: 8480/160000, loss: 0.1336, lr: 0.000057, batch_cost: 1.2080, reader_cost: 0.00017, ips: 1.6556 samples/sec | ETA 50:50:39 2021-08-21 15:49:24 [INFO] [TRAIN] epoch: 23, iter: 8490/160000, loss: 0.1296, lr: 0.000057, batch_cost: 1.1955, reader_cost: 0.00018, ips: 1.6730 samples/sec | ETA 50:18:46 2021-08-21 15:49:36 [INFO] [TRAIN] epoch: 23, iter: 8500/160000, loss: 0.0996, lr: 0.000057, batch_cost: 1.2135, reader_cost: 0.00017, ips: 1.6482 samples/sec | ETA 51:03:57 2021-08-21 15:49:48 [INFO] [TRAIN] epoch: 23, iter: 8510/160000, loss: 0.1137, lr: 0.000057, batch_cost: 1.2111, reader_cost: 0.00019, ips: 1.6514 samples/sec | ETA 50:57:53 2021-08-21 15:50:00 [INFO] [TRAIN] epoch: 23, iter: 8520/160000, loss: 0.1158, lr: 0.000057, batch_cost: 1.1952, reader_cost: 0.00019, ips: 1.6733 samples/sec | ETA 50:17:32 2021-08-21 15:50:12 [INFO] [TRAIN] epoch: 23, iter: 8530/160000, loss: 0.1175, lr: 0.000057, batch_cost: 1.1896, reader_cost: 0.00018, ips: 1.6813 samples/sec | ETA 50:03:04 2021-08-21 15:50:24 [INFO] [TRAIN] epoch: 23, iter: 8540/160000, loss: 0.0974, lr: 0.000057, batch_cost: 1.1963, reader_cost: 0.00018, ips: 1.6719 samples/sec | ETA 50:19:44 2021-08-21 15:50:36 [INFO] [TRAIN] epoch: 23, iter: 8550/160000, loss: 0.1104, lr: 0.000057, batch_cost: 1.1765, reader_cost: 0.00015, ips: 1.6999 samples/sec | ETA 49:29:43 2021-08-21 15:50:50 [INFO] [TRAIN] epoch: 24, iter: 8560/160000, loss: 0.1757, lr: 0.000057, batch_cost: 1.4097, reader_cost: 0.17285, ips: 1.4187 samples/sec | ETA 59:18:10 2021-08-21 15:51:02 [INFO] [TRAIN] epoch: 24, iter: 8570/160000, loss: 0.1133, lr: 0.000057, batch_cost: 1.1986, reader_cost: 0.00069, ips: 1.6686 samples/sec | ETA 50:25:09 2021-08-21 15:51:14 [INFO] [TRAIN] epoch: 24, iter: 8580/160000, loss: 0.1750, lr: 0.000057, batch_cost: 1.1932, reader_cost: 0.00019, ips: 1.6762 samples/sec | ETA 50:11:15 2021-08-21 15:51:26 [INFO] [TRAIN] epoch: 24, iter: 8590/160000, loss: 0.1231, lr: 0.000057, batch_cost: 1.1915, reader_cost: 0.00019, ips: 1.6785 samples/sec | ETA 50:06:51 2021-08-21 15:51:38 [INFO] [TRAIN] epoch: 24, iter: 8600/160000, loss: 0.1189, lr: 0.000057, batch_cost: 1.2021, reader_cost: 0.00019, ips: 1.6638 samples/sec | ETA 50:33:17 2021-08-21 15:51:50 [INFO] [TRAIN] epoch: 24, iter: 8610/160000, loss: 0.1159, lr: 0.000057, batch_cost: 1.2004, reader_cost: 0.00019, ips: 1.6661 samples/sec | ETA 50:28:45 2021-08-21 15:52:02 [INFO] [TRAIN] epoch: 24, iter: 8620/160000, loss: 0.1162, lr: 0.000057, batch_cost: 1.2017, reader_cost: 0.00018, ips: 1.6643 samples/sec | ETA 50:31:51 2021-08-21 15:52:14 [INFO] [TRAIN] epoch: 24, iter: 8630/160000, loss: 0.1711, lr: 0.000057, batch_cost: 1.2085, reader_cost: 0.00018, ips: 1.6550 samples/sec | ETA 50:48:43 2021-08-21 15:52:26 [INFO] [TRAIN] epoch: 24, iter: 8640/160000, loss: 0.1172, lr: 0.000057, batch_cost: 1.2108, reader_cost: 0.00019, ips: 1.6518 samples/sec | ETA 50:54:23 2021-08-21 15:52:38 [INFO] [TRAIN] epoch: 24, iter: 8650/160000, loss: 0.1263, lr: 0.000057, batch_cost: 1.2045, reader_cost: 0.00018, ips: 1.6605 samples/sec | ETA 50:38:16 2021-08-21 15:52:50 [INFO] [TRAIN] epoch: 24, iter: 8660/160000, loss: 0.1221, lr: 0.000057, batch_cost: 1.2140, reader_cost: 0.00018, ips: 1.6475 samples/sec | ETA 51:02:03 2021-08-21 15:53:02 [INFO] [TRAIN] epoch: 24, iter: 8670/160000, loss: 0.1236, lr: 0.000057, batch_cost: 1.2057, reader_cost: 0.00019, ips: 1.6587 samples/sec | ETA 50:41:03 2021-08-21 15:53:15 [INFO] [TRAIN] epoch: 24, iter: 8680/160000, loss: 0.1545, lr: 0.000057, batch_cost: 1.2287, reader_cost: 0.00020, ips: 1.6278 samples/sec | ETA 51:38:42 2021-08-21 15:53:27 [INFO] [TRAIN] epoch: 24, iter: 8690/160000, loss: 0.1613, lr: 0.000057, batch_cost: 1.2018, reader_cost: 0.00018, ips: 1.6642 samples/sec | ETA 50:30:42 2021-08-21 15:53:39 [INFO] [TRAIN] epoch: 24, iter: 8700/160000, loss: 0.0990, lr: 0.000057, batch_cost: 1.2132, reader_cost: 0.00018, ips: 1.6485 samples/sec | ETA 50:59:22 2021-08-21 15:53:51 [INFO] [TRAIN] epoch: 24, iter: 8710/160000, loss: 0.0980, lr: 0.000057, batch_cost: 1.2066, reader_cost: 0.00019, ips: 1.6575 samples/sec | ETA 50:42:31 2021-08-21 15:54:03 [INFO] [TRAIN] epoch: 24, iter: 8720/160000, loss: 0.1012, lr: 0.000057, batch_cost: 1.1972, reader_cost: 0.00018, ips: 1.6705 samples/sec | ETA 50:18:39 2021-08-21 15:54:15 [INFO] [TRAIN] epoch: 24, iter: 8730/160000, loss: 0.1102, lr: 0.000057, batch_cost: 1.1990, reader_cost: 0.00018, ips: 1.6681 samples/sec | ETA 50:22:51 2021-08-21 15:54:27 [INFO] [TRAIN] epoch: 24, iter: 8740/160000, loss: 0.1495, lr: 0.000057, batch_cost: 1.2026, reader_cost: 0.00019, ips: 1.6631 samples/sec | ETA 50:31:41 2021-08-21 15:54:39 [INFO] [TRAIN] epoch: 24, iter: 8750/160000, loss: 0.1526, lr: 0.000057, batch_cost: 1.2001, reader_cost: 0.00018, ips: 1.6665 samples/sec | ETA 50:25:21 2021-08-21 15:54:51 [INFO] [TRAIN] epoch: 24, iter: 8760/160000, loss: 0.1271, lr: 0.000057, batch_cost: 1.1970, reader_cost: 0.00019, ips: 1.6708 samples/sec | ETA 50:17:21 2021-08-21 15:55:03 [INFO] [TRAIN] epoch: 24, iter: 8770/160000, loss: 0.1423, lr: 0.000057, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6736 samples/sec | ETA 50:12:06 2021-08-21 15:55:15 [INFO] [TRAIN] epoch: 24, iter: 8780/160000, loss: 0.1154, lr: 0.000057, batch_cost: 1.1976, reader_cost: 0.00018, ips: 1.6700 samples/sec | ETA 50:18:19 2021-08-21 15:55:27 [INFO] [TRAIN] epoch: 24, iter: 8790/160000, loss: 0.1270, lr: 0.000057, batch_cost: 1.2043, reader_cost: 0.00018, ips: 1.6607 samples/sec | ETA 50:35:09 2021-08-21 15:55:39 [INFO] [TRAIN] epoch: 24, iter: 8800/160000, loss: 0.1555, lr: 0.000057, batch_cost: 1.2094, reader_cost: 0.00020, ips: 1.6538 samples/sec | ETA 50:47:34 2021-08-21 15:55:51 [INFO] [TRAIN] epoch: 24, iter: 8810/160000, loss: 0.2380, lr: 0.000057, 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2021-08-21 15:58:18 [INFO] [TRAIN] epoch: 25, iter: 8930/160000, loss: 0.1024, lr: 0.000057, batch_cost: 1.4100, reader_cost: 0.20106, ips: 1.4184 samples/sec | ETA 59:10:11 2021-08-21 15:58:30 [INFO] [TRAIN] epoch: 25, iter: 8940/160000, loss: 0.1280, lr: 0.000057, batch_cost: 1.2147, reader_cost: 0.00069, ips: 1.6465 samples/sec | ETA 50:58:15 2021-08-21 15:58:42 [INFO] [TRAIN] epoch: 25, iter: 8950/160000, loss: 0.1229, lr: 0.000057, batch_cost: 1.2142, reader_cost: 0.00019, ips: 1.6472 samples/sec | ETA 50:56:43 2021-08-21 15:58:54 [INFO] [TRAIN] epoch: 25, iter: 8960/160000, loss: 0.0990, lr: 0.000057, batch_cost: 1.1989, reader_cost: 0.00019, ips: 1.6683 samples/sec | ETA 50:17:54 2021-08-21 15:59:06 [INFO] [TRAIN] epoch: 25, iter: 8970/160000, loss: 0.1373, lr: 0.000057, batch_cost: 1.2051, reader_cost: 0.00018, ips: 1.6596 samples/sec | ETA 50:33:29 2021-08-21 15:59:18 [INFO] [TRAIN] epoch: 25, iter: 8980/160000, loss: 0.1848, lr: 0.000057, batch_cost: 1.1956, reader_cost: 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epoch: 25, iter: 9100/160000, loss: 0.1004, lr: 0.000057, batch_cost: 1.1982, reader_cost: 0.00019, ips: 1.6691 samples/sec | ETA 50:13:31 2021-08-21 16:01:54 [INFO] [TRAIN] epoch: 25, iter: 9110/160000, loss: 0.1243, lr: 0.000057, batch_cost: 1.2093, reader_cost: 0.00018, ips: 1.6538 samples/sec | ETA 50:41:14 2021-08-21 16:02:07 [INFO] [TRAIN] epoch: 25, iter: 9120/160000, loss: 0.0909, lr: 0.000057, batch_cost: 1.2195, reader_cost: 0.00019, ips: 1.6401 samples/sec | ETA 51:06:30 2021-08-21 16:02:19 [INFO] [TRAIN] epoch: 25, iter: 9130/160000, loss: 0.1412, lr: 0.000057, batch_cost: 1.2205, reader_cost: 0.00019, ips: 1.6387 samples/sec | ETA 51:08:56 2021-08-21 16:02:31 [INFO] [TRAIN] epoch: 25, iter: 9140/160000, loss: 0.1397, lr: 0.000057, batch_cost: 1.2010, reader_cost: 0.00018, ips: 1.6652 samples/sec | ETA 50:19:46 2021-08-21 16:02:43 [INFO] [TRAIN] epoch: 25, iter: 9150/160000, loss: 0.1443, lr: 0.000057, batch_cost: 1.2085, reader_cost: 0.00018, ips: 1.6550 samples/sec | ETA 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[INFO] [TRAIN] epoch: 26, iter: 9330/160000, loss: 0.1809, lr: 0.000057, batch_cost: 1.1918, reader_cost: 0.00018, ips: 1.6782 samples/sec | ETA 49:52:45 2021-08-21 16:06:33 [INFO] [TRAIN] epoch: 26, iter: 9340/160000, loss: 0.1229, lr: 0.000056, batch_cost: 1.1981, reader_cost: 0.00018, ips: 1.6693 samples/sec | ETA 50:08:23 2021-08-21 16:06:45 [INFO] [TRAIN] epoch: 26, iter: 9350/160000, loss: 0.1182, lr: 0.000056, batch_cost: 1.1943, reader_cost: 0.00018, ips: 1.6746 samples/sec | ETA 49:58:45 2021-08-21 16:06:57 [INFO] [TRAIN] epoch: 26, iter: 9360/160000, loss: 0.1098, lr: 0.000056, batch_cost: 1.2062, reader_cost: 0.00018, ips: 1.6581 samples/sec | ETA 50:28:27 2021-08-21 16:07:09 [INFO] [TRAIN] epoch: 26, iter: 9370/160000, loss: 0.1165, lr: 0.000056, batch_cost: 1.1990, reader_cost: 0.00018, ips: 1.6680 samples/sec | ETA 50:10:08 2021-08-21 16:07:22 [INFO] [TRAIN] epoch: 26, iter: 9380/160000, loss: 0.1215, lr: 0.000056, batch_cost: 1.2099, reader_cost: 0.00020, ips: 1.6530 samples/sec | ETA 50:37:13 2021-08-21 16:07:33 [INFO] [TRAIN] epoch: 26, iter: 9390/160000, loss: 0.1164, lr: 0.000056, batch_cost: 1.1918, reader_cost: 0.00018, ips: 1.6782 samples/sec | ETA 49:51:34 2021-08-21 16:07:46 [INFO] [TRAIN] epoch: 26, iter: 9400/160000, loss: 0.1037, lr: 0.000056, batch_cost: 1.2169, reader_cost: 0.00021, ips: 1.6435 samples/sec | ETA 50:54:31 2021-08-21 16:07:58 [INFO] [TRAIN] epoch: 26, iter: 9410/160000, loss: 0.1195, lr: 0.000056, batch_cost: 1.2020, reader_cost: 0.00018, ips: 1.6638 samples/sec | ETA 50:16:54 2021-08-21 16:08:10 [INFO] [TRAIN] epoch: 26, iter: 9420/160000, loss: 0.1300, lr: 0.000056, batch_cost: 1.2029, reader_cost: 0.00018, ips: 1.6626 samples/sec | ETA 50:18:55 2021-08-21 16:08:22 [INFO] [TRAIN] epoch: 26, iter: 9430/160000, loss: 0.1524, lr: 0.000056, batch_cost: 1.1989, reader_cost: 0.00019, ips: 1.6682 samples/sec | ETA 50:08:40 2021-08-21 16:08:34 [INFO] [TRAIN] epoch: 26, iter: 9440/160000, loss: 0.1456, lr: 0.000056, 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2021-08-21 16:10:58 [INFO] [TRAIN] epoch: 26, iter: 9560/160000, loss: 0.1783, lr: 0.000056, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6731 samples/sec | ETA 49:57:09 2021-08-21 16:11:10 [INFO] [TRAIN] epoch: 26, iter: 9570/160000, loss: 0.1902, lr: 0.000056, batch_cost: 1.2036, reader_cost: 0.00018, ips: 1.6617 samples/sec | ETA 50:17:39 2021-08-21 16:11:22 [INFO] [TRAIN] epoch: 26, iter: 9580/160000, loss: 0.1381, lr: 0.000056, batch_cost: 1.1995, reader_cost: 0.00019, ips: 1.6674 samples/sec | ETA 50:07:02 2021-08-21 16:11:34 [INFO] [TRAIN] epoch: 26, iter: 9590/160000, loss: 0.1477, lr: 0.000056, batch_cost: 1.2040, reader_cost: 0.00020, ips: 1.6612 samples/sec | ETA 50:18:07 2021-08-21 16:11:46 [INFO] [TRAIN] epoch: 26, iter: 9600/160000, loss: 0.1298, lr: 0.000056, batch_cost: 1.2064, reader_cost: 0.00018, ips: 1.6578 samples/sec | ETA 50:24:07 2021-08-21 16:11:58 [INFO] [TRAIN] epoch: 26, iter: 9610/160000, loss: 0.0984, lr: 0.000056, batch_cost: 1.2145, reader_cost: 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0.000056, batch_cost: 1.1720, reader_cost: 0.00013, ips: 1.7065 samples/sec | ETA 48:56:25 2021-08-21 16:13:24 [INFO] [TRAIN] epoch: 27, iter: 9680/160000, loss: 0.1435, lr: 0.000056, batch_cost: 1.4342, reader_cost: 0.17387, ips: 1.3945 samples/sec | ETA 59:53:12 2021-08-21 16:13:37 [INFO] [TRAIN] epoch: 27, iter: 9690/160000, loss: 0.1298, lr: 0.000056, batch_cost: 1.2116, reader_cost: 0.00073, ips: 1.6508 samples/sec | ETA 50:35:09 2021-08-21 16:13:49 [INFO] [TRAIN] epoch: 27, iter: 9700/160000, loss: 0.1148, lr: 0.000056, batch_cost: 1.2040, reader_cost: 0.00019, ips: 1.6611 samples/sec | ETA 50:16:02 2021-08-21 16:14:01 [INFO] [TRAIN] epoch: 27, iter: 9710/160000, loss: 0.1189, lr: 0.000056, batch_cost: 1.1999, reader_cost: 0.00018, ips: 1.6668 samples/sec | ETA 50:05:33 2021-08-21 16:14:13 [INFO] [TRAIN] epoch: 27, iter: 9720/160000, loss: 0.1684, lr: 0.000056, batch_cost: 1.2084, reader_cost: 0.00017, ips: 1.6551 samples/sec | ETA 50:26:34 2021-08-21 16:14:25 [INFO] [TRAIN] epoch: 27, iter: 9730/160000, loss: 0.1707, lr: 0.000056, batch_cost: 1.2007, reader_cost: 0.00017, ips: 1.6657 samples/sec | ETA 50:07:07 2021-08-21 16:14:37 [INFO] [TRAIN] epoch: 27, iter: 9740/160000, loss: 0.1093, lr: 0.000056, batch_cost: 1.2045, reader_cost: 0.00018, ips: 1.6604 samples/sec | ETA 50:16:29 2021-08-21 16:14:49 [INFO] [TRAIN] epoch: 27, iter: 9750/160000, loss: 0.0966, lr: 0.000056, batch_cost: 1.2043, reader_cost: 0.00018, ips: 1.6607 samples/sec | ETA 50:15:51 2021-08-21 16:15:01 [INFO] [TRAIN] epoch: 27, iter: 9760/160000, loss: 0.1332, lr: 0.000056, batch_cost: 1.2063, reader_cost: 0.00019, ips: 1.6579 samples/sec | ETA 50:20:41 2021-08-21 16:15:13 [INFO] [TRAIN] epoch: 27, iter: 9770/160000, loss: 0.1041, lr: 0.000056, batch_cost: 1.2048, reader_cost: 0.00019, ips: 1.6600 samples/sec | ETA 50:16:43 2021-08-21 16:15:25 [INFO] [TRAIN] epoch: 27, iter: 9780/160000, loss: 0.1268, lr: 0.000056, batch_cost: 1.2043, reader_cost: 0.00018, ips: 1.6607 samples/sec | ETA 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loss: 0.1172, lr: 0.000056, batch_cost: 1.2053, reader_cost: 0.00020, ips: 1.6593 samples/sec | ETA 50:15:17 2021-08-21 16:18:01 [INFO] [TRAIN] epoch: 27, iter: 9910/160000, loss: 0.1370, lr: 0.000056, batch_cost: 1.2000, reader_cost: 0.00019, ips: 1.6667 samples/sec | ETA 50:01:44 2021-08-21 16:18:13 [INFO] [TRAIN] epoch: 27, iter: 9920/160000, loss: 0.1173, lr: 0.000056, batch_cost: 1.2033, reader_cost: 0.00019, ips: 1.6621 samples/sec | ETA 50:09:46 2021-08-21 16:18:25 [INFO] [TRAIN] epoch: 27, iter: 9930/160000, loss: 0.1058, lr: 0.000056, batch_cost: 1.2113, reader_cost: 0.00020, ips: 1.6511 samples/sec | ETA 50:29:42 2021-08-21 16:18:37 [INFO] [TRAIN] epoch: 27, iter: 9940/160000, loss: 0.1508, lr: 0.000056, batch_cost: 1.1971, reader_cost: 0.00018, ips: 1.6707 samples/sec | ETA 49:53:54 2021-08-21 16:18:49 [INFO] [TRAIN] epoch: 27, iter: 9950/160000, loss: 0.1065, lr: 0.000056, batch_cost: 1.2031, reader_cost: 0.00018, ips: 1.6624 samples/sec | ETA 50:08:37 2021-08-21 16:19:01 [INFO] [TRAIN] epoch: 27, iter: 9960/160000, loss: 0.1262, lr: 0.000056, batch_cost: 1.2011, reader_cost: 0.00018, ips: 1.6652 samples/sec | ETA 50:03:28 2021-08-21 16:19:14 [INFO] [TRAIN] epoch: 27, iter: 9970/160000, loss: 0.1076, lr: 0.000056, batch_cost: 1.2097, reader_cost: 0.00020, ips: 1.6533 samples/sec | ETA 50:24:47 2021-08-21 16:19:26 [INFO] [TRAIN] epoch: 27, iter: 9980/160000, loss: 0.1140, lr: 0.000056, batch_cost: 1.2025, reader_cost: 0.00020, ips: 1.6632 samples/sec | ETA 50:06:39 2021-08-21 16:19:37 [INFO] [TRAIN] epoch: 27, iter: 9990/160000, loss: 0.2014, lr: 0.000056, batch_cost: 1.1942, reader_cost: 0.00019, ips: 1.6748 samples/sec | ETA 49:45:41 2021-08-21 16:19:50 [INFO] [TRAIN] epoch: 27, iter: 10000/160000, loss: 0.1821, lr: 0.000056, batch_cost: 1.2159, reader_cost: 0.00019, ips: 1.6449 samples/sec | ETA 50:39:42 2021-08-21 16:20:02 [INFO] [TRAIN] epoch: 27, iter: 10010/160000, loss: 0.1331, lr: 0.000056, batch_cost: 1.1996, reader_cost: 0.00019, ips: 1.6672 samples/sec | ETA 49:58:48 2021-08-21 16:20:14 [INFO] [TRAIN] epoch: 27, iter: 10020/160000, loss: 0.1312, lr: 0.000056, batch_cost: 1.2035, reader_cost: 0.00018, ips: 1.6619 samples/sec | ETA 50:08:13 2021-08-21 16:20:26 [INFO] [TRAIN] epoch: 27, iter: 10030/160000, loss: 0.1993, lr: 0.000056, batch_cost: 1.2047, reader_cost: 0.00018, ips: 1.6602 samples/sec | ETA 50:11:05 2021-08-21 16:20:37 [INFO] [TRAIN] epoch: 27, iter: 10040/160000, loss: 0.1079, lr: 0.000056, batch_cost: 1.1729, reader_cost: 0.00015, ips: 1.7052 samples/sec | ETA 48:51:25 2021-08-21 16:20:52 [INFO] [TRAIN] epoch: 28, iter: 10050/160000, loss: 0.1007, lr: 0.000056, batch_cost: 1.4133, reader_cost: 0.17881, ips: 1.4151 samples/sec | ETA 58:52:08 2021-08-21 16:21:04 [INFO] [TRAIN] epoch: 28, iter: 10060/160000, loss: 0.1814, lr: 0.000056, batch_cost: 1.2068, reader_cost: 0.00072, ips: 1.6572 samples/sec | ETA 50:15:53 2021-08-21 16:21:16 [INFO] [TRAIN] epoch: 28, iter: 10070/160000, loss: 0.1500, lr: 0.000056, batch_cost: 1.2049, reader_cost: 0.00018, ips: 1.6599 samples/sec | ETA 50:10:52 2021-08-21 16:21:28 [INFO] [TRAIN] epoch: 28, iter: 10080/160000, loss: 0.1399, lr: 0.000056, batch_cost: 1.1968, reader_cost: 0.00019, ips: 1.6711 samples/sec | ETA 49:50:26 2021-08-21 16:21:40 [INFO] [TRAIN] epoch: 28, iter: 10090/160000, loss: 0.1232, lr: 0.000056, batch_cost: 1.1948, reader_cost: 0.00019, ips: 1.6740 samples/sec | ETA 49:45:08 2021-08-21 16:21:52 [INFO] [TRAIN] epoch: 28, iter: 10100/160000, loss: 0.1081, lr: 0.000056, batch_cost: 1.1923, reader_cost: 0.00018, ips: 1.6775 samples/sec | ETA 49:38:43 2021-08-21 16:22:04 [INFO] [TRAIN] epoch: 28, iter: 10110/160000, loss: 0.0917, lr: 0.000056, batch_cost: 1.2057, reader_cost: 0.00018, ips: 1.6588 samples/sec | ETA 50:11:57 2021-08-21 16:22:16 [INFO] [TRAIN] epoch: 28, iter: 10120/160000, loss: 0.1003, lr: 0.000056, batch_cost: 1.2026, reader_cost: 0.00019, ips: 1.6630 samples/sec | ETA 50:04:12 2021-08-21 16:22:28 [INFO] [TRAIN] epoch: 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50:31:21 2021-08-21 16:23:40 [INFO] [TRAIN] epoch: 28, iter: 10190/160000, loss: 0.1107, lr: 0.000056, batch_cost: 1.1940, reader_cost: 0.00018, ips: 1.6751 samples/sec | ETA 49:41:06 2021-08-21 16:23:52 [INFO] [TRAIN] epoch: 28, iter: 10200/160000, loss: 0.1158, lr: 0.000056, batch_cost: 1.2020, reader_cost: 0.00019, ips: 1.6639 samples/sec | ETA 50:00:58 2021-08-21 16:24:04 [INFO] [TRAIN] epoch: 28, iter: 10210/160000, loss: 0.0976, lr: 0.000056, batch_cost: 1.1940, reader_cost: 0.00019, ips: 1.6750 samples/sec | ETA 49:40:54 2021-08-21 16:24:16 [INFO] [TRAIN] epoch: 28, iter: 10220/160000, loss: 0.1146, lr: 0.000056, batch_cost: 1.2112, reader_cost: 0.00020, ips: 1.6513 samples/sec | ETA 50:23:29 2021-08-21 16:24:28 [INFO] [TRAIN] epoch: 28, iter: 10230/160000, loss: 0.1081, lr: 0.000056, batch_cost: 1.2025, reader_cost: 0.00019, ips: 1.6632 samples/sec | ETA 50:01:39 2021-08-21 16:24:40 [INFO] [TRAIN] epoch: 28, iter: 10240/160000, loss: 0.2404, lr: 0.000056, batch_cost: 1.1918, 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2021-08-21 16:27:05 [INFO] [TRAIN] epoch: 28, iter: 10360/160000, loss: 0.1459, lr: 0.000056, batch_cost: 1.2031, reader_cost: 0.00018, ips: 1.6624 samples/sec | ETA 50:00:30 2021-08-21 16:27:17 [INFO] [TRAIN] epoch: 28, iter: 10370/160000, loss: 0.1450, lr: 0.000056, batch_cost: 1.2041, reader_cost: 0.00018, ips: 1.6610 samples/sec | ETA 50:02:49 2021-08-21 16:27:29 [INFO] [TRAIN] epoch: 28, iter: 10380/160000, loss: 0.1825, lr: 0.000056, batch_cost: 1.1990, reader_cost: 0.00018, ips: 1.6680 samples/sec | ETA 49:50:00 2021-08-21 16:27:41 [INFO] [TRAIN] epoch: 28, iter: 10390/160000, loss: 0.1037, lr: 0.000056, batch_cost: 1.2095, reader_cost: 0.00018, ips: 1.6536 samples/sec | ETA 50:15:53 2021-08-21 16:27:53 [INFO] [TRAIN] epoch: 28, iter: 10400/160000, loss: 0.1203, lr: 0.000056, batch_cost: 1.2032, reader_cost: 0.00019, ips: 1.6623 samples/sec | ETA 49:59:53 2021-08-21 16:28:05 [INFO] [TRAIN] epoch: 28, iter: 10410/160000, loss: 0.1478, lr: 0.000056, batch_cost: 1.1834, 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2021-08-21 16:47:38 [INFO] [TRAIN] epoch: 31, iter: 11380/160000, loss: 0.0832, lr: 0.000056, batch_cost: 1.2210, reader_cost: 0.00018, ips: 1.6380 samples/sec | ETA 50:24:23 2021-08-21 16:47:50 [INFO] [TRAIN] epoch: 31, iter: 11390/160000, loss: 0.1051, lr: 0.000056, batch_cost: 1.2132, reader_cost: 0.00018, ips: 1.6485 samples/sec | ETA 50:04:54 2021-08-21 16:48:02 [INFO] [TRAIN] epoch: 31, iter: 11400/160000, loss: 0.1308, lr: 0.000056, batch_cost: 1.2053, reader_cost: 0.00018, ips: 1.6593 samples/sec | ETA 49:45:13 2021-08-21 16:48:14 [INFO] [TRAIN] epoch: 31, iter: 11410/160000, loss: 0.1433, lr: 0.000056, batch_cost: 1.1995, reader_cost: 0.00018, ips: 1.6674 samples/sec | ETA 49:30:26 2021-08-21 16:48:26 [INFO] [TRAIN] epoch: 31, iter: 11420/160000, loss: 0.1197, lr: 0.000056, batch_cost: 1.2020, reader_cost: 0.00019, ips: 1.6639 samples/sec | ETA 49:36:31 2021-08-21 16:48:38 [INFO] [TRAIN] epoch: 31, iter: 11430/160000, loss: 0.0893, lr: 0.000056, batch_cost: 1.2030, reader_cost: 0.00019, ips: 1.6625 samples/sec | ETA 49:38:53 2021-08-21 16:48:50 [INFO] [TRAIN] epoch: 31, iter: 11440/160000, loss: 0.1349, lr: 0.000056, batch_cost: 1.2090, reader_cost: 0.00018, ips: 1.6542 samples/sec | ETA 49:53:32 2021-08-21 16:49:02 [INFO] [TRAIN] epoch: 31, iter: 11450/160000, loss: 0.0998, lr: 0.000056, batch_cost: 1.1996, reader_cost: 0.00018, ips: 1.6672 samples/sec | ETA 49:29:58 2021-08-21 16:49:14 [INFO] [TRAIN] epoch: 31, iter: 11460/160000, loss: 0.0924, lr: 0.000056, batch_cost: 1.2085, reader_cost: 0.00018, ips: 1.6550 samples/sec | ETA 49:51:43 2021-08-21 16:49:26 [INFO] [TRAIN] epoch: 31, iter: 11470/160000, loss: 0.1031, lr: 0.000056, batch_cost: 1.2187, reader_cost: 0.00018, ips: 1.6411 samples/sec | ETA 50:16:56 2021-08-21 16:49:38 [INFO] [TRAIN] epoch: 31, iter: 11480/160000, loss: 0.1089, lr: 0.000056, batch_cost: 1.2063, reader_cost: 0.00019, ips: 1.6579 samples/sec | ETA 49:46:02 2021-08-21 16:49:50 [INFO] [TRAIN] epoch: 31, iter: 11490/160000, loss: 0.0953, lr: 0.000056, batch_cost: 1.2153, reader_cost: 0.00018, ips: 1.6457 samples/sec | ETA 50:08:02 2021-08-21 16:50:02 [INFO] [TRAIN] epoch: 31, iter: 11500/160000, loss: 0.1030, lr: 0.000056, batch_cost: 1.1986, reader_cost: 0.00018, ips: 1.6686 samples/sec | ETA 49:26:32 2021-08-21 16:50:14 [INFO] [TRAIN] epoch: 31, iter: 11510/160000, loss: 0.1107, lr: 0.000056, batch_cost: 1.2001, reader_cost: 0.00018, ips: 1.6665 samples/sec | ETA 49:30:08 2021-08-21 16:50:27 [INFO] [TRAIN] epoch: 31, iter: 11520/160000, loss: 0.1076, lr: 0.000056, batch_cost: 1.2092, reader_cost: 0.00019, ips: 1.6540 samples/sec | ETA 49:52:19 2021-08-21 16:50:38 [INFO] [TRAIN] epoch: 31, iter: 11530/160000, loss: 0.1604, lr: 0.000056, batch_cost: 1.1738, reader_cost: 0.00014, ips: 1.7039 samples/sec | ETA 48:24:32 2021-08-21 16:50:52 [INFO] [TRAIN] epoch: 32, iter: 11540/160000, loss: 0.1246, lr: 0.000056, batch_cost: 1.4106, reader_cost: 0.17900, ips: 1.4178 samples/sec | ETA 58:10:24 2021-08-21 16:51:04 [INFO] [TRAIN] epoch: 32, iter: 11550/160000, loss: 0.1239, lr: 0.000056, batch_cost: 1.2079, reader_cost: 0.00070, ips: 1.6558 samples/sec | ETA 49:48:31 2021-08-21 16:51:17 [INFO] [TRAIN] epoch: 32, iter: 11560/160000, loss: 0.1254, lr: 0.000056, batch_cost: 1.2186, reader_cost: 0.00018, ips: 1.6412 samples/sec | ETA 50:14:55 2021-08-21 16:51:29 [INFO] [TRAIN] epoch: 32, iter: 11570/160000, loss: 0.1319, lr: 0.000056, batch_cost: 1.2040, reader_cost: 0.00018, ips: 1.6611 samples/sec | ETA 49:38:28 2021-08-21 16:51:41 [INFO] [TRAIN] epoch: 32, iter: 11580/160000, loss: 0.0946, lr: 0.000056, batch_cost: 1.2106, reader_cost: 0.00018, ips: 1.6521 samples/sec | ETA 49:54:39 2021-08-21 16:51:53 [INFO] [TRAIN] epoch: 32, iter: 11590/160000, loss: 0.1208, lr: 0.000056, batch_cost: 1.2031, reader_cost: 0.00019, ips: 1.6624 samples/sec | ETA 49:35:49 2021-08-21 16:52:05 [INFO] [TRAIN] epoch: 32, iter: 11600/160000, loss: 0.1075, lr: 0.000056, batch_cost: 1.2119, reader_cost: 0.00019, ips: 1.6503 samples/sec | ETA 49:57:31 2021-08-21 16:52:17 [INFO] [TRAIN] epoch: 32, iter: 11610/160000, loss: 0.1004, lr: 0.000056, batch_cost: 1.2105, reader_cost: 0.00019, ips: 1.6522 samples/sec | ETA 49:53:47 2021-08-21 16:52:29 [INFO] [TRAIN] epoch: 32, iter: 11620/160000, loss: 0.0903, lr: 0.000056, batch_cost: 1.2014, reader_cost: 0.00019, ips: 1.6648 samples/sec | ETA 49:30:58 2021-08-21 16:52:41 [INFO] [TRAIN] epoch: 32, iter: 11630/160000, loss: 0.1060, lr: 0.000056, batch_cost: 1.2105, reader_cost: 0.00019, ips: 1.6522 samples/sec | ETA 49:53:23 2021-08-21 16:52:53 [INFO] [TRAIN] epoch: 32, iter: 11640/160000, loss: 0.1203, lr: 0.000056, batch_cost: 1.2157, reader_cost: 0.00020, ips: 1.6452 samples/sec | ETA 50:05:55 2021-08-21 16:53:05 [INFO] [TRAIN] epoch: 32, iter: 11650/160000, loss: 0.0912, lr: 0.000056, batch_cost: 1.1943, reader_cost: 0.00018, ips: 1.6746 samples/sec | ETA 49:12:54 2021-08-21 16:53:17 [INFO] [TRAIN] epoch: 32, iter: 11660/160000, loss: 0.1114, lr: 0.000056, batch_cost: 1.2080, reader_cost: 0.00019, ips: 1.6556 samples/sec | ETA 49:46:41 2021-08-21 16:53:29 [INFO] [TRAIN] epoch: 32, iter: 11670/160000, loss: 0.1333, lr: 0.000056, batch_cost: 1.2070, reader_cost: 0.00018, ips: 1.6570 samples/sec | ETA 49:43:55 2021-08-21 16:53:41 [INFO] [TRAIN] epoch: 32, iter: 11680/160000, loss: 0.1197, lr: 0.000056, batch_cost: 1.2009, reader_cost: 0.00019, ips: 1.6654 samples/sec | ETA 49:28:34 2021-08-21 16:53:53 [INFO] [TRAIN] epoch: 32, iter: 11690/160000, loss: 0.1388, lr: 0.000056, batch_cost: 1.1929, reader_cost: 0.00018, ips: 1.6765 samples/sec | ETA 49:08:45 2021-08-21 16:54:06 [INFO] [TRAIN] epoch: 32, iter: 11700/160000, loss: 0.1121, lr: 0.000056, batch_cost: 1.2242, reader_cost: 0.00018, ips: 1.6337 samples/sec | ETA 50:25:53 2021-08-21 16:54:18 [INFO] [TRAIN] epoch: 32, iter: 11710/160000, loss: 0.1301, lr: 0.000056, batch_cost: 1.1962, reader_cost: 0.00018, ips: 1.6720 samples/sec | ETA 49:16:24 2021-08-21 16:54:30 [INFO] [TRAIN] epoch: 32, iter: 11720/160000, loss: 0.1074, lr: 0.000056, batch_cost: 1.1992, reader_cost: 0.00018, ips: 1.6678 samples/sec | ETA 49:23:39 2021-08-21 16:54:42 [INFO] [TRAIN] epoch: 32, iter: 11730/160000, loss: 0.1281, lr: 0.000056, batch_cost: 1.1980, reader_cost: 0.00020, ips: 1.6695 samples/sec | ETA 49:20:20 2021-08-21 16:54:54 [INFO] [TRAIN] epoch: 32, iter: 11740/160000, loss: 0.0988, lr: 0.000056, batch_cost: 1.2094, reader_cost: 0.00019, ips: 1.6537 samples/sec | ETA 49:48:26 2021-08-21 16:55:06 [INFO] [TRAIN] epoch: 32, iter: 11750/160000, loss: 0.1124, lr: 0.000056, batch_cost: 1.2059, reader_cost: 0.00018, ips: 1.6585 samples/sec | ETA 49:39:39 2021-08-21 16:55:18 [INFO] [TRAIN] epoch: 32, iter: 11760/160000, loss: 0.1581, lr: 0.000056, batch_cost: 1.2001, reader_cost: 0.00019, ips: 1.6665 samples/sec | ETA 49:25:01 2021-08-21 16:55:30 [INFO] [TRAIN] epoch: 32, iter: 11770/160000, loss: 0.1033, lr: 0.000056, batch_cost: 1.1961, reader_cost: 0.00019, ips: 1.6721 samples/sec | ETA 49:15:00 2021-08-21 16:55:42 [INFO] [TRAIN] epoch: 32, iter: 11780/160000, loss: 0.1069, lr: 0.000056, batch_cost: 1.1942, reader_cost: 0.00017, ips: 1.6748 samples/sec | ETA 49:09:58 2021-08-21 16:55:54 [INFO] [TRAIN] epoch: 32, iter: 11790/160000, loss: 0.1354, lr: 0.000056, batch_cost: 1.2009, reader_cost: 0.00018, ips: 1.6655 samples/sec | ETA 49:26:19 2021-08-21 16:56:06 [INFO] [TRAIN] epoch: 32, iter: 11800/160000, loss: 0.1033, lr: 0.000056, batch_cost: 1.2024, reader_cost: 0.00017, ips: 1.6634 samples/sec | ETA 49:29:50 2021-08-21 16:56:18 [INFO] [TRAIN] epoch: 32, iter: 11810/160000, loss: 0.1598, lr: 0.000056, batch_cost: 1.2043, reader_cost: 0.00019, ips: 1.6607 samples/sec | ETA 49:34:22 2021-08-21 16:56:30 [INFO] [TRAIN] epoch: 32, iter: 11820/160000, loss: 0.1039, lr: 0.000056, batch_cost: 1.2124, reader_cost: 0.00019, ips: 1.6496 samples/sec | ETA 49:54:19 2021-08-21 16:56:42 [INFO] [TRAIN] epoch: 32, iter: 11830/160000, loss: 0.1194, lr: 0.000056, batch_cost: 1.2169, reader_cost: 0.00019, ips: 1.6436 samples/sec | ETA 50:05:01 2021-08-21 16:56:54 [INFO] [TRAIN] epoch: 32, iter: 11840/160000, loss: 0.1608, lr: 0.000056, batch_cost: 1.2150, reader_cost: 0.00019, ips: 1.6460 samples/sec | ETA 50:00:19 2021-08-21 16:57:06 [INFO] [TRAIN] epoch: 32, iter: 11850/160000, loss: 0.1016, lr: 0.000056, batch_cost: 1.1934, reader_cost: 0.00019, ips: 1.6759 samples/sec | ETA 49:06:44 2021-08-21 16:57:18 [INFO] [TRAIN] epoch: 32, iter: 11860/160000, loss: 0.1185, lr: 0.000056, batch_cost: 1.1978, reader_cost: 0.00018, ips: 1.6697 samples/sec | ETA 49:17:27 2021-08-21 16:57:30 [INFO] [TRAIN] epoch: 32, iter: 11870/160000, loss: 0.0955, lr: 0.000056, batch_cost: 1.1966, reader_cost: 0.00019, ips: 1.6714 samples/sec | ETA 49:14:12 2021-08-21 16:57:42 [INFO] [TRAIN] epoch: 32, iter: 11880/160000, loss: 0.1166, lr: 0.000056, batch_cost: 1.2256, reader_cost: 0.00018, ips: 1.6318 samples/sec | ETA 50:25:39 2021-08-21 16:57:54 [INFO] [TRAIN] epoch: 32, iter: 11890/160000, loss: 0.0978, lr: 0.000056, batch_cost: 1.2068, reader_cost: 0.00020, ips: 1.6573 samples/sec | ETA 49:38:51 2021-08-21 16:58:06 [INFO] [TRAIN] epoch: 32, iter: 11900/160000, loss: 0.1247, lr: 0.000056, batch_cost: 1.1780, reader_cost: 0.00015, ips: 1.6977 samples/sec | ETA 48:27:46 2021-08-21 16:58:20 [INFO] [TRAIN] epoch: 33, iter: 11910/160000, loss: 0.1288, lr: 0.000056, batch_cost: 1.4307, reader_cost: 0.20045, ips: 1.3979 samples/sec | ETA 58:51:12 2021-08-21 16:58:32 [INFO] [TRAIN] epoch: 33, iter: 11920/160000, loss: 0.1198, lr: 0.000056, batch_cost: 1.2080, reader_cost: 0.00072, ips: 1.6556 samples/sec | ETA 49:41:22 2021-08-21 16:58:44 [INFO] [TRAIN] epoch: 33, iter: 11930/160000, loss: 0.1447, lr: 0.000056, batch_cost: 1.1991, reader_cost: 0.00018, ips: 1.6678 samples/sec | ETA 49:19:17 2021-08-21 16:58:56 [INFO] [TRAIN] epoch: 33, iter: 11940/160000, loss: 0.0942, lr: 0.000056, batch_cost: 1.1977, reader_cost: 0.00018, ips: 1.6698 samples/sec | ETA 49:15:34 2021-08-21 16:59:08 [INFO] [TRAIN] epoch: 33, iter: 11950/160000, loss: 0.0961, lr: 0.000056, batch_cost: 1.2000, reader_cost: 0.00018, ips: 1.6666 samples/sec | ETA 49:21:07 2021-08-21 16:59:21 [INFO] [TRAIN] epoch: 33, iter: 11960/160000, loss: 0.1112, lr: 0.000056, batch_cost: 1.2047, reader_cost: 0.00020, ips: 1.6602 samples/sec | ETA 49:32:24 2021-08-21 16:59:33 [INFO] [TRAIN] epoch: 33, iter: 11970/160000, loss: 0.0903, lr: 0.000056, batch_cost: 1.2033, reader_cost: 0.00021, ips: 1.6621 samples/sec | ETA 49:28:46 2021-08-21 16:59:45 [INFO] [TRAIN] epoch: 33, iter: 11980/160000, loss: 0.0871, lr: 0.000056, batch_cost: 1.2194, reader_cost: 0.00021, ips: 1.6401 samples/sec | ETA 50:08:15 2021-08-21 16:59:57 [INFO] [TRAIN] epoch: 33, iter: 11990/160000, loss: 0.1063, lr: 0.000056, batch_cost: 1.2085, reader_cost: 0.00020, ips: 1.6549 samples/sec | ETA 49:41:12 2021-08-21 17:00:09 [INFO] [TRAIN] epoch: 33, iter: 12000/160000, loss: 0.0930, lr: 0.000056, batch_cost: 1.2067, reader_cost: 0.00018, ips: 1.6574 samples/sec | ETA 49:36:33 2021-08-21 17:00:09 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:54 - batch_cost: 2.3747 - reader cost: 0.3655 2/125 [..............................] - ETA: 4:21 - batch_cost: 2.1270 - reader cost: 0.1829 3/125 [..............................] - ETA: 4:10 - batch_cost: 2.0544 - reader cost: 0.1220 4/125 [..............................] - ETA: 4:05 - batch_cost: 2.0271 - reader cost: 0.0915 5/125 [>.............................] - ETA: 4:01 - batch_cost: 2.0092 - reader cost: 0.0733 6/125 [>.............................] - ETA: 3:57 - batch_cost: 1.9990 - reader cost: 0.0611 7/125 [>.............................] - ETA: 3:55 - batch_cost: 1.9915 - reader cost: 0.0524 8/125 [>.............................] - ETA: 3:52 - batch_cost: 1.9874 - reader cost: 0.0459 9/125 [=>............................] - ETA: 3:49 - batch_cost: 1.9814 - reader cost: 0.0408 10/125 [=>............................] - ETA: 3:47 - batch_cost: 1.9794 - reader cost: 0.0367 11/125 [=>............................] - ETA: 3:44 - batch_cost: 1.9721 - reader cost: 0.0334 12/125 [=>............................] - ETA: 3:42 - batch_cost: 1.9674 - reader cost: 0.0306 13/125 [==>...........................] - ETA: 3:39 - batch_cost: 1.9635 - reader cost: 0.0283 14/125 [==>...........................] - ETA: 3:37 - batch_cost: 1.9597 - reader cost: 0.0263 15/125 [==>...........................] - ETA: 3:35 - batch_cost: 1.9560 - reader cost: 0.0245 16/125 [==>...........................] - ETA: 3:33 - batch_cost: 1.9543 - reader cost: 0.0230 17/125 [===>..........................] - ETA: 3:30 - batch_cost: 1.9524 - reader cost: 0.0217 18/125 [===>..........................] - ETA: 3:28 - batch_cost: 1.9510 - reader cost: 0.0205 19/125 [===>..........................] - ETA: 3:26 - batch_cost: 1.9490 - reader cost: 0.0194 20/125 [===>..........................] - ETA: 3:24 - batch_cost: 1.9480 - reader cost: 0.0185 21/125 [====>.........................] - ETA: 3:22 - batch_cost: 1.9472 - reader cost: 0.0176 22/125 [====>.........................] - ETA: 3:20 - batch_cost: 1.9467 - reader cost: 0.0168 23/125 [====>.........................] - ETA: 3:18 - batch_cost: 1.9454 - reader cost: 0.0161 24/125 [====>.........................] - ETA: 3:16 - batch_cost: 1.9448 - reader cost: 0.0154 25/125 [=====>........................] - ETA: 3:14 - batch_cost: 1.9449 - reader cost: 0.0148 26/125 [=====>........................] - ETA: 3:12 - batch_cost: 1.9445 - reader cost: 0.0142 27/125 [=====>........................] - ETA: 3:10 - batch_cost: 1.9439 - reader cost: 0.0137 28/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.9446 - reader cost: 0.0132 29/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.9434 - reader cost: 0.0128 30/125 [======>.......................] - ETA: 3:04 - batch_cost: 1.9429 - reader cost: 0.0124 31/125 [======>.......................] - ETA: 3:02 - batch_cost: 1.9418 - reader cost: 0.0120 32/125 [======>.......................] - ETA: 3:00 - batch_cost: 1.9409 - reader cost: 0.0116 33/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.9401 - reader cost: 0.0113 34/125 [=======>......................] - ETA: 2:56 - batch_cost: 1.9394 - reader cost: 0.0109 35/125 [=======>......................] - ETA: 2:54 - batch_cost: 1.9389 - reader cost: 0.0106 36/125 [=======>......................] - ETA: 2:52 - batch_cost: 1.9384 - reader cost: 0.0103 37/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.9379 - reader cost: 0.0101 38/125 [========>.....................] - ETA: 2:48 - batch_cost: 1.9377 - reader cost: 0.0098 39/125 [========>.....................] - ETA: 2:46 - batch_cost: 1.9371 - reader cost: 0.0096 40/125 [========>.....................] - ETA: 2:44 - batch_cost: 1.9369 - reader cost: 0.0093 41/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.9370 - reader cost: 0.0091 42/125 [=========>....................] - ETA: 2:40 - batch_cost: 1.9365 - reader cost: 0.0089 43/125 [=========>....................] - ETA: 2:38 - batch_cost: 1.9364 - reader cost: 0.0087 44/125 [=========>....................] - ETA: 2:36 - batch_cost: 1.9360 - reader cost: 0.0085 45/125 [=========>....................] - ETA: 2:34 - batch_cost: 1.9359 - reader cost: 0.0083 46/125 [==========>...................] - ETA: 2:32 - batch_cost: 1.9356 - reader cost: 0.0081 47/125 [==========>...................] - ETA: 2:31 - batch_cost: 1.9358 - reader cost: 0.0080 48/125 [==========>...................] - ETA: 2:29 - batch_cost: 1.9360 - reader cost: 0.0078 49/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.9360 - reader cost: 0.0076 50/125 [===========>..................] - ETA: 2:25 - batch_cost: 1.9358 - reader cost: 0.0075 51/125 [===========>..................] - ETA: 2:23 - batch_cost: 1.9350 - reader cost: 0.0074 52/125 [===========>..................] - ETA: 2:21 - batch_cost: 1.9349 - reader cost: 0.0072 53/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.9353 - reader cost: 0.0071 54/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.9352 - reader cost: 0.0070 55/125 [============>.................] - ETA: 2:15 - batch_cost: 1.9352 - reader cost: 0.0068 56/125 [============>.................] - ETA: 2:13 - batch_cost: 1.9352 - reader cost: 0.0067 57/125 [============>.................] - ETA: 2:11 - batch_cost: 1.9349 - reader cost: 0.0066 58/125 [============>.................] - ETA: 2:09 - batch_cost: 1.9350 - reader cost: 0.0065 59/125 [=============>................] - ETA: 2:07 - batch_cost: 1.9351 - reader cost: 0.0064 60/125 [=============>................] - ETA: 2:05 - batch_cost: 1.9352 - reader cost: 0.0063 61/125 [=============>................] - ETA: 2:03 - batch_cost: 1.9349 - reader cost: 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[==============================] - 242s 2s/step - batch_cost: 1.9363 - reader cost: 0.0031 2021-08-21 17:04:11 [INFO] [EVAL] #Images: 500 mIoU: 0.7799 Acc: 0.9607 Kappa: 0.9490 2021-08-21 17:04:11 [INFO] [EVAL] Class IoU: [0.9816 0.8466 0.9246 0.5929 0.6188 0.6277 0.7024 0.776 0.9264 0.6334 0.9516 0.8166 0.6093 0.9501 0.8117 0.8875 0.7068 0.6824 0.7717] 2021-08-21 17:04:11 [INFO] [EVAL] Class Acc: [0.9934 0.8956 0.9595 0.7153 0.7919 0.8299 0.8437 0.899 0.9574 0.8792 0.9683 0.8828 0.8066 0.9722 0.9172 0.9442 0.7577 0.8163 0.8599] 2021-08-21 17:04:14 [INFO] [EVAL] The model with the best validation mIoU (0.7799) was saved at iter 12000. 2021-08-21 17:04:27 [INFO] [TRAIN] epoch: 33, iter: 12010/160000, loss: 0.1294, lr: 0.000055, batch_cost: 1.2072, reader_cost: 0.00063, ips: 1.6567 samples/sec | ETA 49:37:36 2021-08-21 17:04:39 [INFO] [TRAIN] epoch: 33, iter: 12020/160000, loss: 0.1123, lr: 0.000055, batch_cost: 1.2002, reader_cost: 0.00018, ips: 1.6664 samples/sec | ETA 49:20:05 2021-08-21 17:04:51 [INFO] [TRAIN] epoch: 33, iter: 12030/160000, loss: 0.1001, lr: 0.000055, batch_cost: 1.2116, reader_cost: 0.00020, ips: 1.6507 samples/sec | ETA 49:47:57 2021-08-21 17:05:03 [INFO] [TRAIN] epoch: 33, iter: 12040/160000, loss: 0.1052, lr: 0.000055, batch_cost: 1.1918, reader_cost: 0.00019, ips: 1.6781 samples/sec | ETA 48:58:59 2021-08-21 17:05:15 [INFO] [TRAIN] epoch: 33, iter: 12050/160000, loss: 0.1095, lr: 0.000055, batch_cost: 1.1965, reader_cost: 0.00018, ips: 1.6716 samples/sec | ETA 49:10:18 2021-08-21 17:05:27 [INFO] [TRAIN] epoch: 33, iter: 12060/160000, loss: 0.1094, lr: 0.000055, batch_cost: 1.2000, reader_cost: 0.00019, ips: 1.6667 samples/sec | ETA 49:18:48 2021-08-21 17:05:39 [INFO] [TRAIN] epoch: 33, iter: 12070/160000, loss: 0.1403, lr: 0.000055, batch_cost: 1.2065, reader_cost: 0.00019, ips: 1.6576 samples/sec | ETA 49:34:43 2021-08-21 17:05:51 [INFO] [TRAIN] epoch: 33, iter: 12080/160000, loss: 0.1033, lr: 0.000055, batch_cost: 1.2052, reader_cost: 0.00018, ips: 1.6595 samples/sec | ETA 49:31:11 2021-08-21 17:06:03 [INFO] [TRAIN] epoch: 33, iter: 12090/160000, loss: 0.0908, lr: 0.000055, batch_cost: 1.2006, reader_cost: 0.00019, ips: 1.6659 samples/sec | ETA 49:19:37 2021-08-21 17:06:15 [INFO] [TRAIN] epoch: 33, iter: 12100/160000, loss: 0.0897, lr: 0.000055, batch_cost: 1.2051, reader_cost: 0.00018, ips: 1.6597 samples/sec | ETA 49:30:26 2021-08-21 17:06:27 [INFO] [TRAIN] epoch: 33, iter: 12110/160000, loss: 0.1518, lr: 0.000055, batch_cost: 1.2009, reader_cost: 0.00017, ips: 1.6655 samples/sec | ETA 49:19:57 2021-08-21 17:06:39 [INFO] [TRAIN] epoch: 33, iter: 12120/160000, loss: 0.1273, lr: 0.000055, batch_cost: 1.2138, reader_cost: 0.00018, ips: 1.6477 samples/sec | ETA 49:51:37 2021-08-21 17:06:51 [INFO] [TRAIN] epoch: 33, iter: 12130/160000, loss: 0.1215, lr: 0.000055, batch_cost: 1.2064, reader_cost: 0.00019, ips: 1.6578 samples/sec | ETA 49:33:08 2021-08-21 17:07:03 [INFO] [TRAIN] epoch: 33, iter: 12140/160000, loss: 0.1419, lr: 0.000055, batch_cost: 1.2013, reader_cost: 0.00019, ips: 1.6648 samples/sec | ETA 49:20:25 2021-08-21 17:07:15 [INFO] [TRAIN] epoch: 33, iter: 12150/160000, loss: 0.0853, lr: 0.000055, batch_cost: 1.1983, reader_cost: 0.00017, ips: 1.6690 samples/sec | ETA 49:12:53 2021-08-21 17:07:27 [INFO] [TRAIN] epoch: 33, iter: 12160/160000, loss: 0.1117, lr: 0.000055, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 48:59:19 2021-08-21 17:07:39 [INFO] [TRAIN] epoch: 33, iter: 12170/160000, loss: 0.1193, lr: 0.000055, batch_cost: 1.1898, reader_cost: 0.00018, ips: 1.6809 samples/sec | ETA 48:51:33 2021-08-21 17:07:51 [INFO] [TRAIN] epoch: 33, iter: 12180/160000, loss: 0.1303, lr: 0.000055, batch_cost: 1.1906, reader_cost: 0.00018, ips: 1.6799 samples/sec | ETA 48:53:08 2021-08-21 17:08:03 [INFO] [TRAIN] epoch: 33, iter: 12190/160000, loss: 0.0960, lr: 0.000055, batch_cost: 1.1954, reader_cost: 0.00018, ips: 1.6731 samples/sec | ETA 49:04:51 2021-08-21 17:08:15 [INFO] [TRAIN] epoch: 33, iter: 12200/160000, loss: 0.0990, lr: 0.000055, batch_cost: 1.2133, reader_cost: 0.00019, ips: 1.6484 samples/sec | ETA 49:48:41 2021-08-21 17:08:27 [INFO] [TRAIN] epoch: 33, iter: 12210/160000, loss: 0.1091, lr: 0.000055, batch_cost: 1.2063, reader_cost: 0.00019, ips: 1.6579 samples/sec | ETA 49:31:24 2021-08-21 17:08:39 [INFO] [TRAIN] epoch: 33, iter: 12220/160000, loss: 0.0994, lr: 0.000055, batch_cost: 1.1999, reader_cost: 0.00022, ips: 1.6668 samples/sec | ETA 49:15:25 2021-08-21 17:08:51 [INFO] [TRAIN] epoch: 33, iter: 12230/160000, loss: 0.1149, lr: 0.000055, batch_cost: 1.2061, reader_cost: 0.00020, ips: 1.6583 samples/sec | ETA 49:30:20 2021-08-21 17:09:03 [INFO] [TRAIN] epoch: 33, iter: 12240/160000, loss: 0.1344, lr: 0.000055, batch_cost: 1.2047, reader_cost: 0.00019, ips: 1.6602 samples/sec | ETA 49:26:41 2021-08-21 17:09:15 [INFO] [TRAIN] epoch: 33, iter: 12250/160000, loss: 0.1005, lr: 0.000055, batch_cost: 1.1975, reader_cost: 0.00019, ips: 1.6701 samples/sec | ETA 49:08:50 2021-08-21 17:09:27 [INFO] [TRAIN] epoch: 33, iter: 12260/160000, loss: 0.1048, lr: 0.000055, batch_cost: 1.2062, reader_cost: 0.00020, ips: 1.6580 samples/sec | ETA 49:30:09 2021-08-21 17:09:39 [INFO] [TRAIN] epoch: 33, iter: 12270/160000, loss: 0.1299, lr: 0.000055, batch_cost: 1.1924, reader_cost: 0.00016, ips: 1.6772 samples/sec | ETA 48:55:59 2021-08-21 17:09:53 [INFO] [TRAIN] epoch: 34, iter: 12280/160000, loss: 0.1055, lr: 0.000055, batch_cost: 1.4258, reader_cost: 0.17964, ips: 1.4028 samples/sec | ETA 58:30:14 2021-08-21 17:10:05 [INFO] [TRAIN] epoch: 34, iter: 12290/160000, loss: 0.0880, lr: 0.000055, batch_cost: 1.1963, reader_cost: 0.00071, ips: 1.6719 samples/sec | ETA 49:05:02 2021-08-21 17:10:17 [INFO] [TRAIN] epoch: 34, iter: 12300/160000, loss: 0.1303, lr: 0.000055, batch_cost: 1.1944, reader_cost: 0.00019, ips: 1.6744 samples/sec | ETA 49:00:19 2021-08-21 17:10:29 [INFO] [TRAIN] epoch: 34, iter: 12310/160000, loss: 0.0938, lr: 0.000055, batch_cost: 1.1975, reader_cost: 0.00068, ips: 1.6701 samples/sec | ETA 49:07:45 2021-08-21 17:10:41 [INFO] [TRAIN] epoch: 34, iter: 12320/160000, loss: 0.0856, lr: 0.000055, batch_cost: 1.2024, reader_cost: 0.00018, ips: 1.6634 samples/sec | ETA 49:19:26 2021-08-21 17:10:53 [INFO] [TRAIN] epoch: 34, iter: 12330/160000, loss: 0.0941, lr: 0.000055, batch_cost: 1.2017, reader_cost: 0.00018, ips: 1.6644 samples/sec | ETA 49:17:30 2021-08-21 17:11:05 [INFO] [TRAIN] epoch: 34, iter: 12340/160000, loss: 0.1093, lr: 0.000055, batch_cost: 1.2005, reader_cost: 0.00018, ips: 1.6659 samples/sec | ETA 49:14:29 2021-08-21 17:11:17 [INFO] [TRAIN] epoch: 34, iter: 12350/160000, loss: 0.1003, lr: 0.000055, batch_cost: 1.1958, reader_cost: 0.00018, ips: 1.6725 samples/sec | ETA 49:02:44 2021-08-21 17:11:29 [INFO] [TRAIN] epoch: 34, iter: 12360/160000, loss: 0.1294, lr: 0.000055, batch_cost: 1.2058, reader_cost: 0.00019, ips: 1.6586 samples/sec | ETA 49:27:04 2021-08-21 17:11:41 [INFO] [TRAIN] epoch: 34, iter: 12370/160000, loss: 0.0976, lr: 0.000055, batch_cost: 1.2045, reader_cost: 0.00019, ips: 1.6605 samples/sec | ETA 49:23:39 2021-08-21 17:11:53 [INFO] [TRAIN] epoch: 34, iter: 12380/160000, loss: 0.1099, lr: 0.000055, batch_cost: 1.2030, reader_cost: 0.00018, ips: 1.6625 samples/sec | ETA 49:19:48 2021-08-21 17:12:05 [INFO] [TRAIN] epoch: 34, iter: 12390/160000, loss: 0.1244, lr: 0.000055, batch_cost: 1.2078, reader_cost: 0.00019, ips: 1.6559 samples/sec | ETA 49:31:27 2021-08-21 17:12:17 [INFO] [TRAIN] epoch: 34, iter: 12400/160000, loss: 0.1168, lr: 0.000055, batch_cost: 1.2081, reader_cost: 0.00019, ips: 1.6555 samples/sec | ETA 49:31:54 2021-08-21 17:12:29 [INFO] [TRAIN] epoch: 34, iter: 12410/160000, loss: 0.1139, lr: 0.000055, batch_cost: 1.2058, reader_cost: 0.00018, ips: 1.6587 samples/sec | ETA 49:26:03 2021-08-21 17:12:41 [INFO] [TRAIN] epoch: 34, iter: 12420/160000, loss: 0.1191, lr: 0.000055, batch_cost: 1.2004, reader_cost: 0.00019, ips: 1.6662 samples/sec | ETA 49:12:30 2021-08-21 17:12:54 [INFO] [TRAIN] epoch: 34, iter: 12430/160000, loss: 0.0892, lr: 0.000055, batch_cost: 1.2115, reader_cost: 0.00019, ips: 1.6509 samples/sec | ETA 49:39:40 2021-08-21 17:13:05 [INFO] [TRAIN] epoch: 34, iter: 12440/160000, loss: 0.0945, lr: 0.000055, batch_cost: 1.1930, reader_cost: 0.00019, ips: 1.6765 samples/sec | ETA 48:53:53 2021-08-21 17:13:18 [INFO] [TRAIN] epoch: 34, iter: 12450/160000, loss: 0.0993, lr: 0.000055, batch_cost: 1.2052, reader_cost: 0.00019, ips: 1.6594 samples/sec | ETA 49:23:50 2021-08-21 17:13:30 [INFO] [TRAIN] epoch: 34, iter: 12460/160000, loss: 0.1098, lr: 0.000055, batch_cost: 1.2022, reader_cost: 0.00018, ips: 1.6636 samples/sec | ETA 49:16:15 2021-08-21 17:13:42 [INFO] [TRAIN] epoch: 34, iter: 12470/160000, loss: 0.0971, lr: 0.000055, batch_cost: 1.2080, reader_cost: 0.00018, ips: 1.6557 samples/sec | ETA 49:30:08 2021-08-21 17:13:54 [INFO] [TRAIN] epoch: 34, iter: 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2021-08-21 17:52:38 [INFO] [TRAIN] epoch: 39, iter: 14410/160000, loss: 0.1007, lr: 0.000055, batch_cost: 1.2004, reader_cost: 0.00018, ips: 1.6662 samples/sec | ETA 48:32:42 2021-08-21 17:52:50 [INFO] [TRAIN] epoch: 39, iter: 14420/160000, loss: 0.1083, lr: 0.000055, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 48:22:39 2021-08-21 17:53:02 [INFO] [TRAIN] epoch: 39, iter: 14430/160000, loss: 0.1084, lr: 0.000055, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6736 samples/sec | ETA 48:19:17 2021-08-21 17:53:14 [INFO] [TRAIN] epoch: 39, iter: 14440/160000, loss: 0.1120, lr: 0.000055, batch_cost: 1.2018, reader_cost: 0.00017, ips: 1.6642 samples/sec | ETA 48:35:33 2021-08-21 17:53:26 [INFO] [TRAIN] epoch: 39, iter: 14450/160000, loss: 0.0878, lr: 0.000055, batch_cost: 1.2066, reader_cost: 0.00016, ips: 1.6576 samples/sec | ETA 48:46:56 2021-08-21 17:53:38 [INFO] [TRAIN] epoch: 39, iter: 14460/160000, loss: 0.1038, lr: 0.000055, batch_cost: 1.1873, 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2021-08-21 17:56:03 [INFO] [TRAIN] epoch: 40, iter: 14580/160000, loss: 0.1047, lr: 0.000055, batch_cost: 1.1923, reader_cost: 0.00018, ips: 1.6774 samples/sec | ETA 48:09:49 2021-08-21 17:56:14 [INFO] [TRAIN] epoch: 40, iter: 14590/160000, loss: 0.1187, lr: 0.000055, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6791 samples/sec | ETA 48:06:43 2021-08-21 17:56:26 [INFO] [TRAIN] epoch: 40, iter: 14600/160000, loss: 0.0944, lr: 0.000055, batch_cost: 1.1954, reader_cost: 0.00018, ips: 1.6731 samples/sec | ETA 48:16:45 2021-08-21 17:56:38 [INFO] [TRAIN] epoch: 40, iter: 14610/160000, loss: 0.0970, lr: 0.000055, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6699 samples/sec | ETA 48:22:14 2021-08-21 17:56:50 [INFO] [TRAIN] epoch: 40, iter: 14620/160000, loss: 0.0848, lr: 0.000055, batch_cost: 1.1971, reader_cost: 0.00018, ips: 1.6707 samples/sec | ETA 48:20:39 2021-08-21 17:57:02 [INFO] [TRAIN] epoch: 40, iter: 14630/160000, loss: 0.1081, lr: 0.000055, batch_cost: 1.2074, 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2021-08-21 18:09:38 [INFO] [TRAIN] epoch: 42, iter: 15260/160000, loss: 0.0817, lr: 0.000054, batch_cost: 1.3986, reader_cost: 0.16787, ips: 1.4300 samples/sec | ETA 56:13:58 2021-08-21 18:09:50 [INFO] [TRAIN] epoch: 42, iter: 15270/160000, loss: 0.0778, lr: 0.000054, batch_cost: 1.1962, reader_cost: 0.00067, ips: 1.6720 samples/sec | ETA 48:05:25 2021-08-21 18:10:02 [INFO] [TRAIN] epoch: 42, iter: 15280/160000, loss: 0.0787, lr: 0.000054, batch_cost: 1.1936, reader_cost: 0.00016, ips: 1.6756 samples/sec | ETA 47:58:56 2021-08-21 18:10:14 [INFO] [TRAIN] epoch: 42, iter: 15290/160000, loss: 0.0821, lr: 0.000054, batch_cost: 1.2026, reader_cost: 0.00016, ips: 1.6631 samples/sec | ETA 48:20:24 2021-08-21 18:10:26 [INFO] [TRAIN] epoch: 42, iter: 15300/160000, loss: 0.0992, lr: 0.000054, batch_cost: 1.2087, reader_cost: 0.00016, ips: 1.6546 samples/sec | ETA 48:35:05 2021-08-21 18:10:38 [INFO] [TRAIN] epoch: 42, iter: 15310/160000, loss: 0.1239, lr: 0.000054, batch_cost: 1.2051, reader_cost: 0.00016, ips: 1.6596 samples/sec | ETA 48:26:06 2021-08-21 18:10:50 [INFO] [TRAIN] epoch: 42, iter: 15320/160000, loss: 0.0877, lr: 0.000054, batch_cost: 1.2092, reader_cost: 0.00017, ips: 1.6539 samples/sec | ETA 48:35:52 2021-08-21 18:11:02 [INFO] [TRAIN] epoch: 42, iter: 15330/160000, loss: 0.0838, lr: 0.000054, batch_cost: 1.2154, reader_cost: 0.00017, ips: 1.6456 samples/sec | ETA 48:50:28 2021-08-21 18:11:14 [INFO] [TRAIN] epoch: 42, iter: 15340/160000, loss: 0.1077, lr: 0.000054, batch_cost: 1.2027, reader_cost: 0.00016, ips: 1.6629 samples/sec | ETA 48:19:45 2021-08-21 18:11:26 [INFO] [TRAIN] epoch: 42, iter: 15350/160000, loss: 0.0992, lr: 0.000054, batch_cost: 1.2037, reader_cost: 0.00017, ips: 1.6615 samples/sec | ETA 48:21:59 2021-08-21 18:11:38 [INFO] [TRAIN] epoch: 42, iter: 15360/160000, loss: 0.0922, lr: 0.000054, batch_cost: 1.2017, reader_cost: 0.00017, ips: 1.6643 samples/sec | ETA 48:16:54 2021-08-21 18:11:51 [INFO] [TRAIN] epoch: 42, iter: 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2021-08-21 18:13:02 [INFO] [TRAIN] epoch: 42, iter: 15430/160000, loss: 0.0804, lr: 0.000054, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6737 samples/sec | ETA 47:59:15 2021-08-21 18:13:14 [INFO] [TRAIN] epoch: 42, iter: 15440/160000, loss: 0.1009, lr: 0.000054, batch_cost: 1.1962, reader_cost: 0.00016, ips: 1.6720 samples/sec | ETA 48:02:00 2021-08-21 18:13:26 [INFO] [TRAIN] epoch: 42, iter: 15450/160000, loss: 0.1022, lr: 0.000054, batch_cost: 1.1984, reader_cost: 0.00017, ips: 1.6689 samples/sec | ETA 48:07:05 2021-08-21 18:13:38 [INFO] [TRAIN] epoch: 42, iter: 15460/160000, loss: 0.0814, lr: 0.000054, batch_cost: 1.1885, reader_cost: 0.00016, ips: 1.6828 samples/sec | ETA 47:43:02 2021-08-21 18:13:50 [INFO] [TRAIN] epoch: 42, iter: 15470/160000, loss: 0.1154, lr: 0.000054, batch_cost: 1.1881, reader_cost: 0.00016, ips: 1.6834 samples/sec | ETA 47:41:56 2021-08-21 18:14:02 [INFO] [TRAIN] epoch: 42, iter: 15480/160000, loss: 0.0908, lr: 0.000054, batch_cost: 1.1970, reader_cost: 0.00016, ips: 1.6708 samples/sec | ETA 48:03:15 2021-08-21 18:14:14 [INFO] [TRAIN] epoch: 42, iter: 15490/160000, loss: 0.1120, lr: 0.000054, batch_cost: 1.1921, reader_cost: 0.00016, ips: 1.6777 samples/sec | ETA 47:51:10 2021-08-21 18:14:26 [INFO] [TRAIN] epoch: 42, iter: 15500/160000, loss: 0.1117, lr: 0.000054, batch_cost: 1.1889, reader_cost: 0.00017, ips: 1.6822 samples/sec | ETA 47:43:17 2021-08-21 18:14:38 [INFO] [TRAIN] epoch: 42, iter: 15510/160000, loss: 0.1024, lr: 0.000054, batch_cost: 1.1888, reader_cost: 0.00018, ips: 1.6824 samples/sec | ETA 47:42:44 2021-08-21 18:14:49 [INFO] [TRAIN] epoch: 42, iter: 15520/160000, loss: 0.0985, lr: 0.000054, batch_cost: 1.1897, reader_cost: 0.00017, ips: 1.6811 samples/sec | ETA 47:44:47 2021-08-21 18:15:01 [INFO] [TRAIN] epoch: 42, iter: 15530/160000, loss: 0.0846, lr: 0.000054, batch_cost: 1.1934, reader_cost: 0.00017, ips: 1.6759 samples/sec | ETA 47:53:24 2021-08-21 18:15:13 [INFO] [TRAIN] epoch: 42, iter: 15540/160000, loss: 0.1019, lr: 0.000054, batch_cost: 1.1934, reader_cost: 0.00017, ips: 1.6759 samples/sec | ETA 47:53:17 2021-08-21 18:15:25 [INFO] [TRAIN] epoch: 42, iter: 15550/160000, loss: 0.1097, lr: 0.000054, batch_cost: 1.1976, reader_cost: 0.00017, ips: 1.6701 samples/sec | ETA 48:03:07 2021-08-21 18:15:37 [INFO] [TRAIN] epoch: 42, iter: 15560/160000, loss: 0.1161, lr: 0.000054, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 47:53:44 2021-08-21 18:15:49 [INFO] [TRAIN] epoch: 42, iter: 15570/160000, loss: 0.0805, lr: 0.000054, batch_cost: 1.1986, reader_cost: 0.00017, ips: 1.6686 samples/sec | ETA 48:05:16 2021-08-21 18:16:01 [INFO] [TRAIN] epoch: 42, iter: 15580/160000, loss: 0.1054, lr: 0.000054, batch_cost: 1.2010, reader_cost: 0.00017, ips: 1.6653 samples/sec | ETA 48:10:50 2021-08-21 18:16:13 [INFO] [TRAIN] epoch: 42, iter: 15590/160000, loss: 0.0997, lr: 0.000054, batch_cost: 1.1979, reader_cost: 0.00017, ips: 1.6696 samples/sec | ETA 48:03:09 2021-08-21 18:16:25 [INFO] [TRAIN] epoch: 42, iter: 15600/160000, loss: 0.1124, lr: 0.000054, batch_cost: 1.1932, reader_cost: 0.00018, ips: 1.6761 samples/sec | ETA 47:51:43 2021-08-21 18:16:37 [INFO] [TRAIN] epoch: 42, iter: 15610/160000, loss: 0.1044, lr: 0.000054, batch_cost: 1.1857, reader_cost: 0.00016, ips: 1.6867 samples/sec | ETA 47:33:27 2021-08-21 18:16:49 [INFO] [TRAIN] epoch: 42, iter: 15620/160000, loss: 0.0965, lr: 0.000054, batch_cost: 1.1717, reader_cost: 0.00013, ips: 1.7069 samples/sec | ETA 46:59:35 2021-08-21 18:17:03 [INFO] [TRAIN] epoch: 43, iter: 15630/160000, loss: 0.0953, lr: 0.000054, batch_cost: 1.3968, reader_cost: 0.17493, ips: 1.4318 samples/sec | ETA 56:00:59 2021-08-21 18:17:15 [INFO] [TRAIN] epoch: 43, iter: 15640/160000, loss: 0.0981, lr: 0.000054, batch_cost: 1.1958, reader_cost: 0.00067, ips: 1.6725 samples/sec | ETA 47:57:07 2021-08-21 18:17:27 [INFO] [TRAIN] epoch: 43, iter: 15650/160000, loss: 0.1117, lr: 0.000054, batch_cost: 1.1975, reader_cost: 0.00018, ips: 1.6702 samples/sec | ETA 48:00:56 2021-08-21 18:17:39 [INFO] [TRAIN] epoch: 43, iter: 15660/160000, loss: 0.0792, lr: 0.000054, batch_cost: 1.1989, reader_cost: 0.00017, ips: 1.6682 samples/sec | ETA 48:04:03 2021-08-21 18:17:51 [INFO] [TRAIN] epoch: 43, iter: 15670/160000, loss: 0.0936, lr: 0.000054, batch_cost: 1.1966, reader_cost: 0.00018, ips: 1.6715 samples/sec | ETA 47:58:18 2021-08-21 18:18:03 [INFO] [TRAIN] epoch: 43, iter: 15680/160000, loss: 0.1266, lr: 0.000054, batch_cost: 1.1993, reader_cost: 0.00018, ips: 1.6676 samples/sec | ETA 48:04:45 2021-08-21 18:18:15 [INFO] [TRAIN] epoch: 43, iter: 15690/160000, loss: 0.0935, lr: 0.000054, batch_cost: 1.1986, reader_cost: 0.00018, ips: 1.6686 samples/sec | ETA 48:02:47 2021-08-21 18:18:26 [INFO] [TRAIN] epoch: 43, iter: 15700/160000, loss: 0.1223, lr: 0.000054, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 47:43:02 2021-08-21 18:18:38 [INFO] [TRAIN] epoch: 43, iter: 15710/160000, loss: 0.0909, lr: 0.000054, batch_cost: 1.1858, reader_cost: 0.00017, ips: 1.6866 samples/sec | ETA 47:31:45 2021-08-21 18:18:50 [INFO] [TRAIN] epoch: 43, iter: 15720/160000, loss: 0.0926, lr: 0.000054, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 47:44:03 2021-08-21 18:19:02 [INFO] [TRAIN] epoch: 43, iter: 15730/160000, loss: 0.1307, lr: 0.000054, batch_cost: 1.1939, reader_cost: 0.00018, ips: 1.6752 samples/sec | ETA 47:50:40 2021-08-21 18:19:14 [INFO] [TRAIN] epoch: 43, iter: 15740/160000, loss: 0.1043, lr: 0.000054, batch_cost: 1.2005, reader_cost: 0.00017, ips: 1.6659 samples/sec | ETA 48:06:30 2021-08-21 18:19:26 [INFO] [TRAIN] epoch: 43, iter: 15750/160000, loss: 0.0840, lr: 0.000054, batch_cost: 1.1932, reader_cost: 0.00017, ips: 1.6762 samples/sec | ETA 47:48:32 2021-08-21 18:19:38 [INFO] [TRAIN] epoch: 43, iter: 15760/160000, loss: 0.1015, lr: 0.000054, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 47:47:42 2021-08-21 18:19:50 [INFO] [TRAIN] epoch: 43, iter: 15770/160000, loss: 0.2490, lr: 0.000054, batch_cost: 1.1889, reader_cost: 0.00017, ips: 1.6822 samples/sec | ETA 47:38:01 2021-08-21 18:20:02 [INFO] [TRAIN] epoch: 43, iter: 15780/160000, loss: 0.1161, lr: 0.000054, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6801 samples/sec | ETA 47:41:24 2021-08-21 18:20:14 [INFO] [TRAIN] epoch: 43, iter: 15790/160000, loss: 0.1239, lr: 0.000054, batch_cost: 1.1859, reader_cost: 0.00017, ips: 1.6865 samples/sec | ETA 47:30:17 2021-08-21 18:20:26 [INFO] [TRAIN] epoch: 43, iter: 15800/160000, loss: 0.1019, lr: 0.000054, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6752 samples/sec | ETA 47:49:21 2021-08-21 18:20:38 [INFO] [TRAIN] epoch: 43, iter: 15810/160000, loss: 0.1140, lr: 0.000054, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 47:46:39 2021-08-21 18:20:49 [INFO] [TRAIN] epoch: 43, iter: 15820/160000, loss: 0.1552, lr: 0.000054, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6772 samples/sec | ETA 47:45:34 2021-08-21 18:21:01 [INFO] [TRAIN] epoch: 43, iter: 15830/160000, loss: 0.0894, lr: 0.000054, batch_cost: 1.1933, reader_cost: 0.00017, ips: 1.6760 samples/sec | ETA 47:47:15 2021-08-21 18:21:13 [INFO] [TRAIN] epoch: 43, iter: 15840/160000, loss: 0.1034, lr: 0.000054, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 47:45:41 2021-08-21 18:21:25 [INFO] [TRAIN] epoch: 43, iter: 15850/160000, loss: 0.1274, lr: 0.000054, batch_cost: 1.2011, reader_cost: 0.00018, ips: 1.6651 samples/sec | ETA 48:05:39 2021-08-21 18:21:37 [INFO] [TRAIN] epoch: 43, iter: 15860/160000, loss: 0.1138, lr: 0.000054, batch_cost: 1.1969, reader_cost: 0.00017, ips: 1.6710 samples/sec | ETA 47:55:20 2021-08-21 18:21:49 [INFO] [TRAIN] epoch: 43, iter: 15870/160000, loss: 0.0824, lr: 0.000054, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6804 samples/sec | ETA 47:39:01 2021-08-21 18:22:01 [INFO] [TRAIN] epoch: 43, iter: 15880/160000, loss: 0.1256, lr: 0.000054, batch_cost: 1.1905, reader_cost: 0.00016, ips: 1.6800 samples/sec | ETA 47:39:33 2021-08-21 18:22:13 [INFO] [TRAIN] epoch: 43, iter: 15890/160000, loss: 0.1551, lr: 0.000054, batch_cost: 1.1932, reader_cost: 0.00017, ips: 1.6761 samples/sec | ETA 47:45:57 2021-08-21 18:22:25 [INFO] [TRAIN] epoch: 43, iter: 15900/160000, loss: 0.1654, lr: 0.000054, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6732 samples/sec | ETA 47:50:42 2021-08-21 18:22:37 [INFO] [TRAIN] epoch: 43, iter: 15910/160000, loss: 0.1159, lr: 0.000054, batch_cost: 1.1916, reader_cost: 0.00016, ips: 1.6784 samples/sec | ETA 47:41:36 2021-08-21 18:22:49 [INFO] [TRAIN] epoch: 43, iter: 15920/160000, loss: 0.0901, lr: 0.000054, batch_cost: 1.2022, reader_cost: 0.00018, ips: 1.6636 samples/sec | ETA 48:06:54 2021-08-21 18:23:01 [INFO] [TRAIN] epoch: 43, iter: 15930/160000, loss: 0.1100, lr: 0.000054, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 47:42:03 2021-08-21 18:23:13 [INFO] [TRAIN] epoch: 43, iter: 15940/160000, loss: 0.0910, lr: 0.000054, batch_cost: 1.2035, reader_cost: 0.00017, ips: 1.6618 samples/sec | ETA 48:09:42 2021-08-21 18:23:25 [INFO] [TRAIN] epoch: 43, iter: 15950/160000, loss: 0.1311, lr: 0.000054, batch_cost: 1.1836, reader_cost: 0.00017, ips: 1.6898 samples/sec | ETA 47:21:33 2021-08-21 18:23:37 [INFO] [TRAIN] epoch: 43, iter: 15960/160000, loss: 0.1153, lr: 0.000054, batch_cost: 1.1946, reader_cost: 0.00016, ips: 1.6742 samples/sec | ETA 47:47:47 2021-08-21 18:23:49 [INFO] [TRAIN] epoch: 43, iter: 15970/160000, loss: 0.1247, lr: 0.000054, batch_cost: 1.2053, reader_cost: 0.00017, ips: 1.6593 samples/sec | ETA 48:13:24 2021-08-21 18:24:01 [INFO] [TRAIN] epoch: 43, iter: 15980/160000, loss: 0.1329, lr: 0.000054, batch_cost: 1.1912, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 47:39:20 2021-08-21 18:24:12 [INFO] [TRAIN] epoch: 43, iter: 15990/160000, loss: 0.1116, lr: 0.000054, batch_cost: 1.1734, reader_cost: 0.00014, ips: 1.7045 samples/sec | ETA 46:56:18 2021-08-21 18:24:26 [INFO] [TRAIN] epoch: 44, iter: 16000/160000, loss: 0.1164, lr: 0.000054, batch_cost: 1.3937, reader_cost: 0.17467, ips: 1.4350 samples/sec | ETA 55:44:57 2021-08-21 18:24:26 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:50 - batch_cost: 2.3414 - reader cost: 0.3674 2/125 [..............................] - ETA: 4:19 - batch_cost: 2.1060 - reader cost: 0.1838 3/125 [..............................] - ETA: 4:06 - batch_cost: 2.0233 - reader cost: 0.1226 4/125 [..............................] - ETA: 4:00 - batch_cost: 1.9874 - reader cost: 0.0920 5/125 [>.............................] - ETA: 3:55 - batch_cost: 1.9657 - reader cost: 0.0736 6/125 [>.............................] - ETA: 3:52 - batch_cost: 1.9543 - reader cost: 0.0614 7/125 [>.............................] - ETA: 3:49 - batch_cost: 1.9440 - reader cost: 0.0527 8/125 [>.............................] - ETA: 3:46 - batch_cost: 1.9385 - reader cost: 0.0461 9/125 [=>............................] - ETA: 3:44 - batch_cost: 1.9311 - reader cost: 0.0410 10/125 [=>............................] - ETA: 3:41 - batch_cost: 1.9253 - reader cost: 0.0369 11/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9196 - reader cost: 0.0336 12/125 [=>............................] - ETA: 3:36 - batch_cost: 1.9142 - reader cost: 0.0308 13/125 [==>...........................] - ETA: 3:33 - batch_cost: 1.9104 - reader cost: 0.0285 14/125 [==>...........................] - ETA: 3:31 - batch_cost: 1.9078 - reader cost: 0.0264 15/125 [==>...........................] - ETA: 3:29 - batch_cost: 1.9048 - reader cost: 0.0247 16/125 [==>...........................] - ETA: 3:27 - batch_cost: 1.9017 - reader cost: 0.0232 17/125 [===>..........................] - ETA: 3:24 - batch_cost: 1.8974 - reader cost: 0.0218 18/125 [===>..........................] - ETA: 3:22 - batch_cost: 1.8965 - reader cost: 0.0206 19/125 [===>..........................] - ETA: 3:20 - batch_cost: 1.8939 - reader cost: 0.0195 20/125 [===>..........................] - ETA: 3:18 - batch_cost: 1.8914 - reader cost: 0.0186 21/125 [====>.........................] - ETA: 3:16 - batch_cost: 1.8900 - reader cost: 0.0177 22/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.8885 - reader cost: 0.0169 23/125 [====>.........................] - ETA: 3:12 - batch_cost: 1.8869 - reader cost: 0.0162 24/125 [====>.........................] - ETA: 3:10 - batch_cost: 1.8855 - reader cost: 0.0155 25/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.8841 - reader cost: 0.0149 26/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.8832 - reader cost: 0.0143 27/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.8826 - reader cost: 0.0138 28/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8812 - reader cost: 0.0133 29/125 [=====>........................] - ETA: 3:00 - batch_cost: 1.8800 - reader cost: 0.0129 30/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8784 - reader cost: 0.0124 31/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8774 - reader cost: 0.0120 32/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8765 - reader cost: 0.0117 33/125 [======>.......................] - ETA: 2:52 - batch_cost: 1.8761 - reader cost: 0.0113 34/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8757 - reader cost: 0.0110 35/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8757 - reader cost: 0.0107 36/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8755 - reader cost: 0.0104 37/125 [=======>......................] - ETA: 2:45 - batch_cost: 1.8749 - reader cost: 0.0101 38/125 [========>.....................] - ETA: 2:43 - batch_cost: 1.8743 - reader cost: 0.0099 39/125 [========>.....................] - ETA: 2:41 - batch_cost: 1.8748 - reader cost: 0.0096 40/125 [========>.....................] - ETA: 2:39 - batch_cost: 1.8743 - reader cost: 0.0094 41/125 [========>.....................] - ETA: 2:37 - batch_cost: 1.8741 - reader cost: 0.0092 42/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.8733 - reader cost: 0.0089 43/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.8729 - reader cost: 0.0087 44/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8723 - reader cost: 0.0085 45/125 [=========>....................] - ETA: 2:29 - batch_cost: 1.8721 - reader cost: 0.0084 46/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8729 - reader cost: 0.0082 47/125 [==========>...................] - ETA: 2:26 - batch_cost: 1.8729 - reader cost: 0.0080 48/125 [==========>...................] - ETA: 2:24 - batch_cost: 1.8729 - reader cost: 0.0079 49/125 [==========>...................] - ETA: 2:22 - batch_cost: 1.8725 - reader cost: 0.0077 50/125 [===========>..................] - ETA: 2:20 - batch_cost: 1.8720 - reader cost: 0.0075 51/125 [===========>..................] - ETA: 2:18 - batch_cost: 1.8716 - reader cost: 0.0074 52/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8711 - reader cost: 0.0073 53/125 [===========>..................] - ETA: 2:14 - batch_cost: 1.8707 - reader cost: 0.0071 54/125 [===========>..................] - ETA: 2:12 - batch_cost: 1.8706 - reader cost: 0.0070 55/125 [============>.................] - ETA: 2:10 - batch_cost: 1.8707 - reader cost: 0.0069 56/125 [============>.................] - ETA: 2:09 - batch_cost: 1.8707 - reader cost: 0.0068 57/125 [============>.................] - ETA: 2:07 - batch_cost: 1.8702 - reader cost: 0.0066 58/125 [============>.................] - ETA: 2:05 - batch_cost: 1.8697 - reader cost: 0.0065 59/125 [=============>................] - ETA: 2:03 - batch_cost: 1.8693 - reader cost: 0.0064 60/125 [=============>................] - ETA: 2:01 - batch_cost: 1.8694 - reader cost: 0.0063 61/125 [=============>................] - ETA: 1:59 - batch_cost: 1.8689 - reader cost: 0.0062 62/125 [=============>................] - ETA: 1:57 - batch_cost: 1.8685 - reader cost: 0.0061 63/125 [==============>...............] - ETA: 1:55 - batch_cost: 1.8681 - reader cost: 0.0060 64/125 [==============>...............] - ETA: 1:53 - batch_cost: 1.8677 - reader cost: 0.0059 65/125 [==============>...............] - ETA: 1:52 - batch_cost: 1.8672 - reader cost: 0.0058 66/125 [==============>...............] - ETA: 1:50 - batch_cost: 1.8667 - reader cost: 0.0058 67/125 [===============>..............] - ETA: 1:48 - batch_cost: 1.8663 - reader cost: 0.0057 68/125 [===============>..............] - ETA: 1:46 - batch_cost: 1.8659 - reader cost: 0.0056 69/125 [===============>..............] - ETA: 1:44 - batch_cost: 1.8656 - reader cost: 0.0055 70/125 [===============>..............] - ETA: 1:42 - batch_cost: 1.8654 - reader cost: 0.0054 71/125 [================>.............] - ETA: 1:40 - batch_cost: 1.8652 - reader cost: 0.0054 72/125 [================>.............] - ETA: 1:38 - batch_cost: 1.8649 - reader cost: 0.0053 73/125 [================>.............] - ETA: 1:36 - batch_cost: 1.8647 - reader cost: 0.0052 74/125 [================>.............] - ETA: 1:35 - batch_cost: 1.8644 - reader cost: 0.0052 75/125 [=================>............] - ETA: 1:33 - batch_cost: 1.8643 - reader cost: 0.0051 76/125 [=================>............] - ETA: 1:31 - batch_cost: 1.8640 - reader cost: 0.0050 77/125 [=================>............] - ETA: 1:29 - batch_cost: 1.8640 - reader cost: 0.0050 78/125 [=================>............] - ETA: 1:27 - batch_cost: 1.8638 - reader cost: 0.0049 79/125 [=================>............] - ETA: 1:25 - batch_cost: 1.8635 - reader cost: 0.0048 80/125 [==================>...........] - ETA: 1:23 - batch_cost: 1.8634 - reader cost: 0.0048 81/125 [==================>...........] - ETA: 1:21 - batch_cost: 1.8633 - reader cost: 0.0047 82/125 [==================>...........] - ETA: 1:20 - batch_cost: 1.8631 - reader cost: 0.0047 83/125 [==================>...........] - ETA: 1:18 - batch_cost: 1.8628 - reader cost: 0.0046 84/125 [===================>..........] - ETA: 1:16 - batch_cost: 1.8627 - reader cost: 0.0046 85/125 [===================>..........] - ETA: 1:14 - batch_cost: 1.8625 - reader cost: 0.0045 86/125 [===================>..........] - ETA: 1:12 - batch_cost: 1.8624 - reader cost: 0.0045 87/125 [===================>..........] - ETA: 1:10 - batch_cost: 1.8623 - reader cost: 0.0044 88/125 [====================>.........] - ETA: 1:08 - batch_cost: 1.8620 - reader cost: 0.0044 89/125 [====================>.........] - ETA: 1:07 - batch_cost: 1.8619 - reader cost: 0.0043 90/125 [====================>.........] - ETA: 1:05 - batch_cost: 1.8618 - reader cost: 0.0043 91/125 [====================>.........] - ETA: 1:03 - batch_cost: 1.8617 - reader cost: 0.0042 92/125 [=====================>........] - ETA: 1:01 - batch_cost: 1.8615 - reader cost: 0.0042 93/125 [=====================>........] - ETA: 59s - batch_cost: 1.8612 - reader cost: 0.0041  94/125 [=====================>........] - ETA: 57s - batch_cost: 1.8611 - reader cost: 0.0041 95/125 [=====================>........] - ETA: 55s - batch_cost: 1.8612 - reader cost: 0.0041 96/125 [======================>.......] - ETA: 53s - batch_cost: 1.8610 - reader cost: 0.0040 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8608 - reader cost: 0.0040 98/125 [======================>.......] - ETA: 50s - batch_cost: 1.8606 - reader cost: 0.0039 99/125 [======================>.......] - ETA: 48s - batch_cost: 1.8606 - reader cost: 0.0039 100/125 [=======================>......] - ETA: 46s - batch_cost: 1.8606 - reader cost: 0.0039 101/125 [=======================>......] - ETA: 44s - batch_cost: 1.8607 - reader cost: 0.0038 102/125 [=======================>......] - ETA: 42s - batch_cost: 1.8607 - reader cost: 0.0038 103/125 [=======================>......] - ETA: 40s - batch_cost: 1.8606 - reader cost: 0.0038 104/125 [=======================>......] - ETA: 39s - batch_cost: 1.8604 - reader cost: 0.0037 105/125 [========================>.....] - ETA: 37s - batch_cost: 1.8602 - reader cost: 0.0037 106/125 [========================>.....] - ETA: 35s - batch_cost: 1.8600 - reader cost: 0.0037 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8598 - reader cost: 0.0036 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8595 - reader cost: 0.0036 109/125 [=========================>....] - ETA: 29s - batch_cost: 1.8594 - reader cost: 0.0036 110/125 [=========================>....] - ETA: 27s - batch_cost: 1.8592 - reader cost: 0.0035 111/125 [=========================>....] - ETA: 26s - batch_cost: 1.8590 - reader cost: 0.0035 112/125 [=========================>....] - ETA: 24s - batch_cost: 1.8588 - reader cost: 0.0035 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8586 - reader cost: 0.0034 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8585 - reader cost: 0.0034 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8584 - reader cost: 0.0034 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8582 - reader cost: 0.0034 117/125 [===========================>..] - ETA: 14s - batch_cost: 1.8583 - reader cost: 0.0033 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8582 - reader cost: 0.0033 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8582 - reader cost: 0.0033 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8580 - reader cost: 0.0033  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8578 - reader cost: 0.0032 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8576 - reader cost: 0.0032 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8574 - reader cost: 0.0032 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8571 - reader cost: 0.0032 125/125 [==============================] - 232s 2s/step - batch_cost: 1.8568 - reader cost: 0.0031 2021-08-21 18:28:19 [INFO] [EVAL] #Images: 500 mIoU: 0.7803 Acc: 0.9616 Kappa: 0.9502 2021-08-21 18:28:19 [INFO] [EVAL] Class IoU: [0.9813 0.8511 0.9283 0.6465 0.6027 0.6416 0.7036 0.7834 0.9269 0.6681 0.9534 0.8007 0.4806 0.9481 0.7674 0.8749 0.805 0.6806 0.7816] 2021-08-21 18:28:19 [INFO] [EVAL] Class Acc: [0.9927 0.9065 0.9602 0.86 0.8264 0.8137 0.8199 0.891 0.957 0.8132 0.9704 0.8493 0.8405 0.9766 0.8133 0.9379 0.8873 0.8459 0.8638] 2021-08-21 18:28:22 [INFO] [EVAL] The model with the best validation mIoU (0.7803) was saved at iter 16000. 2021-08-21 18:28:34 [INFO] [TRAIN] epoch: 44, iter: 16010/160000, loss: 0.0915, lr: 0.000054, batch_cost: 1.1914, reader_cost: 0.00108, ips: 1.6787 samples/sec | ETA 47:39:09 2021-08-21 18:28:46 [INFO] [TRAIN] epoch: 44, iter: 16020/160000, loss: 0.0885, lr: 0.000054, batch_cost: 1.1974, reader_cost: 0.00016, ips: 1.6703 samples/sec | ETA 47:53:23 2021-08-21 18:28:57 [INFO] [TRAIN] epoch: 44, iter: 16030/160000, loss: 0.0811, lr: 0.000054, batch_cost: 1.1847, reader_cost: 0.00016, ips: 1.6881 samples/sec | ETA 47:22:47 2021-08-21 18:29:09 [INFO] [TRAIN] epoch: 44, iter: 16040/160000, loss: 0.1072, lr: 0.000054, batch_cost: 1.1940, reader_cost: 0.00016, ips: 1.6751 samples/sec | ETA 47:44:42 2021-08-21 18:29:21 [INFO] [TRAIN] epoch: 44, iter: 16050/160000, loss: 0.0784, lr: 0.000054, batch_cost: 1.1889, reader_cost: 0.00016, ips: 1.6822 samples/sec | ETA 47:32:26 2021-08-21 18:29:33 [INFO] [TRAIN] epoch: 44, iter: 16060/160000, loss: 0.0879, lr: 0.000054, batch_cost: 1.1890, reader_cost: 0.00016, ips: 1.6820 samples/sec | ETA 47:32:29 2021-08-21 18:29:45 [INFO] [TRAIN] epoch: 44, iter: 16070/160000, loss: 0.0809, lr: 0.000054, batch_cost: 1.1830, reader_cost: 0.00016, ips: 1.6906 samples/sec | ETA 47:17:48 2021-08-21 18:29:57 [INFO] [TRAIN] epoch: 44, iter: 16080/160000, loss: 0.0886, lr: 0.000054, batch_cost: 1.1895, reader_cost: 0.00016, ips: 1.6814 samples/sec | ETA 47:33:12 2021-08-21 18:30:09 [INFO] [TRAIN] epoch: 44, iter: 16090/160000, loss: 0.0873, lr: 0.000054, batch_cost: 1.1894, reader_cost: 0.00016, ips: 1.6816 samples/sec | ETA 47:32:39 2021-08-21 18:30:21 [INFO] [TRAIN] epoch: 44, iter: 16100/160000, loss: 0.1032, lr: 0.000054, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6798 samples/sec | ETA 47:35:29 2021-08-21 18:30:33 [INFO] [TRAIN] epoch: 44, iter: 16110/160000, loss: 0.1092, lr: 0.000054, batch_cost: 1.1897, reader_cost: 0.00017, ips: 1.6811 samples/sec | ETA 47:33:04 2021-08-21 18:30:45 [INFO] [TRAIN] epoch: 44, iter: 16120/160000, loss: 0.1231, lr: 0.000054, batch_cost: 1.2023, reader_cost: 0.00017, ips: 1.6635 samples/sec | ETA 48:03:00 2021-08-21 18:30:56 [INFO] [TRAIN] epoch: 44, iter: 16130/160000, loss: 0.0866, lr: 0.000054, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6838 samples/sec | ETA 47:28:02 2021-08-21 18:31:08 [INFO] [TRAIN] epoch: 44, iter: 16140/160000, loss: 0.1115, lr: 0.000054, batch_cost: 1.2005, reader_cost: 0.00017, ips: 1.6660 samples/sec | ETA 47:58:20 2021-08-21 18:31:20 [INFO] [TRAIN] epoch: 44, iter: 16150/160000, loss: 0.0908, lr: 0.000054, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6730 samples/sec | ETA 47:46:09 2021-08-21 18:31:32 [INFO] [TRAIN] epoch: 44, iter: 16160/160000, loss: 0.1320, lr: 0.000054, batch_cost: 1.1956, reader_cost: 0.00017, ips: 1.6728 samples/sec | ETA 47:46:13 2021-08-21 18:31:44 [INFO] [TRAIN] epoch: 44, iter: 16170/160000, loss: 0.1642, lr: 0.000054, batch_cost: 1.1874, reader_cost: 0.00018, ips: 1.6844 samples/sec | ETA 47:26:16 2021-08-21 18:31:56 [INFO] [TRAIN] epoch: 44, iter: 16180/160000, loss: 0.1501, lr: 0.000054, batch_cost: 1.1867, reader_cost: 0.00018, ips: 1.6853 samples/sec | ETA 47:24:32 2021-08-21 18:32:08 [INFO] [TRAIN] epoch: 44, iter: 16190/160000, loss: 0.1049, lr: 0.000054, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6805 samples/sec | ETA 47:32:29 2021-08-21 18:32:20 [INFO] [TRAIN] epoch: 44, iter: 16200/160000, loss: 0.1064, lr: 0.000054, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6751 samples/sec | ETA 47:41:34 2021-08-21 18:32:32 [INFO] [TRAIN] epoch: 44, iter: 16210/160000, loss: 0.1014, lr: 0.000054, batch_cost: 1.1932, reader_cost: 0.00016, ips: 1.6762 samples/sec | ETA 47:39:23 2021-08-21 18:32:44 [INFO] [TRAIN] epoch: 44, iter: 16220/160000, loss: 0.1110, lr: 0.000054, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6753 samples/sec | ETA 47:40:47 2021-08-21 18:32:56 [INFO] [TRAIN] epoch: 44, iter: 16230/160000, loss: 0.1002, lr: 0.000054, batch_cost: 1.1943, reader_cost: 0.00017, ips: 1.6746 samples/sec | ETA 47:41:49 2021-08-21 18:33:08 [INFO] [TRAIN] epoch: 44, iter: 16240/160000, loss: 0.0860, lr: 0.000054, batch_cost: 1.1841, reader_cost: 0.00017, ips: 1.6891 samples/sec | ETA 47:17:00 2021-08-21 18:33:20 [INFO] [TRAIN] epoch: 44, iter: 16250/160000, loss: 0.1022, lr: 0.000054, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6824 samples/sec | ETA 47:28:02 2021-08-21 18:33:32 [INFO] [TRAIN] epoch: 44, iter: 16260/160000, loss: 0.0992, lr: 0.000054, batch_cost: 1.2017, reader_cost: 0.00017, ips: 1.6644 samples/sec | ETA 47:58:46 2021-08-21 18:33:43 [INFO] [TRAIN] epoch: 44, iter: 16270/160000, loss: 0.0825, lr: 0.000054, batch_cost: 1.1933, reader_cost: 0.00016, ips: 1.6760 samples/sec | ETA 47:38:31 2021-08-21 18:33:55 [INFO] [TRAIN] epoch: 44, iter: 16280/160000, loss: 0.1048, lr: 0.000054, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 47:35:59 2021-08-21 18:34:07 [INFO] [TRAIN] epoch: 44, iter: 16290/160000, loss: 0.1366, lr: 0.000054, batch_cost: 1.1854, reader_cost: 0.00017, ips: 1.6872 samples/sec | ETA 47:19:18 2021-08-21 18:34:19 [INFO] [TRAIN] epoch: 44, iter: 16300/160000, loss: 0.1281, lr: 0.000054, batch_cost: 1.1912, reader_cost: 0.00017, ips: 1.6790 samples/sec | ETA 47:32:52 2021-08-21 18:34:31 [INFO] [TRAIN] epoch: 44, iter: 16310/160000, loss: 0.0869, lr: 0.000054, batch_cost: 1.1895, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 47:28:45 2021-08-21 18:34:43 [INFO] [TRAIN] epoch: 44, iter: 16320/160000, loss: 0.1251, lr: 0.000054, batch_cost: 1.1875, reader_cost: 0.00017, ips: 1.6842 samples/sec | ETA 47:23:36 2021-08-21 18:34:55 [INFO] [TRAIN] epoch: 44, iter: 16330/160000, loss: 0.1118, lr: 0.000054, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6799 samples/sec | ETA 47:30:49 2021-08-21 18:35:07 [INFO] [TRAIN] epoch: 44, iter: 16340/160000, loss: 0.1001, lr: 0.000054, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 47:34:48 2021-08-21 18:35:19 [INFO] [TRAIN] epoch: 44, iter: 16350/160000, loss: 0.0976, lr: 0.000054, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 47:25:27 2021-08-21 18:35:31 [INFO] [TRAIN] epoch: 44, iter: 16360/160000, loss: 0.1104, lr: 0.000054, batch_cost: 1.1860, reader_cost: 0.00015, ips: 1.6863 samples/sec | ETA 47:19:20 2021-08-21 18:35:44 [INFO] [TRAIN] epoch: 45, iter: 16370/160000, loss: 0.1152, lr: 0.000054, batch_cost: 1.3734, reader_cost: 0.17907, ips: 1.4563 samples/sec | ETA 54:47:36 2021-08-21 18:35:56 [INFO] [TRAIN] epoch: 45, iter: 16380/160000, loss: 0.1352, lr: 0.000054, batch_cost: 1.1857, reader_cost: 0.00069, ips: 1.6868 samples/sec | ETA 47:18:03 2021-08-21 18:36:08 [INFO] [TRAIN] epoch: 45, iter: 16390/160000, loss: 0.0893, lr: 0.000054, batch_cost: 1.1955, reader_cost: 0.00018, ips: 1.6729 samples/sec | ETA 47:41:25 2021-08-21 18:36:20 [INFO] [TRAIN] epoch: 45, iter: 16400/160000, loss: 0.1120, lr: 0.000054, batch_cost: 1.1865, reader_cost: 0.00018, ips: 1.6856 samples/sec | ETA 47:19:47 2021-08-21 18:36:32 [INFO] [TRAIN] epoch: 45, iter: 16410/160000, loss: 0.1178, lr: 0.000054, batch_cost: 1.2038, reader_cost: 0.00018, ips: 1.6614 samples/sec | ETA 48:00:55 2021-08-21 18:36:44 [INFO] [TRAIN] epoch: 45, iter: 16420/160000, loss: 0.0823, lr: 0.000054, batch_cost: 1.1982, reader_cost: 0.00018, ips: 1.6692 samples/sec | ETA 47:47:17 2021-08-21 18:36:56 [INFO] [TRAIN] epoch: 45, iter: 16430/160000, loss: 0.1239, lr: 0.000054, batch_cost: 1.1897, reader_cost: 0.00017, ips: 1.6811 samples/sec | ETA 47:26:45 2021-08-21 18:37:08 [INFO] [TRAIN] epoch: 45, iter: 16440/160000, loss: 0.1309, lr: 0.000054, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 47:34:35 2021-08-21 18:37:20 [INFO] [TRAIN] epoch: 45, iter: 16450/160000, loss: 0.0965, lr: 0.000054, batch_cost: 1.1990, reader_cost: 0.00017, ips: 1.6680 samples/sec | ETA 47:48:41 2021-08-21 18:37:32 [INFO] [TRAIN] epoch: 45, iter: 16460/160000, loss: 0.1068, lr: 0.000054, batch_cost: 1.2057, reader_cost: 0.00017, ips: 1.6588 samples/sec | ETA 48:04:29 2021-08-21 18:37:44 [INFO] [TRAIN] epoch: 45, iter: 16470/160000, loss: 0.0761, lr: 0.000054, batch_cost: 1.2006, reader_cost: 0.00018, ips: 1.6659 samples/sec | ETA 47:51:55 2021-08-21 18:37:56 [INFO] [TRAIN] epoch: 45, iter: 16480/160000, loss: 0.1010, lr: 0.000054, batch_cost: 1.2145, reader_cost: 0.00018, ips: 1.6468 samples/sec | ETA 48:25:04 2021-08-21 18:38:08 [INFO] [TRAIN] epoch: 45, iter: 16490/160000, loss: 0.1165, lr: 0.000054, batch_cost: 1.2055, reader_cost: 0.00018, ips: 1.6591 samples/sec | ETA 48:03:16 2021-08-21 18:38:20 [INFO] [TRAIN] epoch: 45, iter: 16500/160000, loss: 0.0896, lr: 0.000054, batch_cost: 1.2060, reader_cost: 0.00017, ips: 1.6584 samples/sec | ETA 48:04:17 2021-08-21 18:38:32 [INFO] [TRAIN] epoch: 45, iter: 16510/160000, loss: 0.0990, lr: 0.000054, batch_cost: 1.2057, reader_cost: 0.00017, ips: 1.6589 samples/sec | ETA 48:03:18 2021-08-21 18:38:44 [INFO] [TRAIN] epoch: 45, iter: 16520/160000, loss: 0.1195, lr: 0.000054, batch_cost: 1.1847, reader_cost: 0.00017, ips: 1.6882 samples/sec | ETA 47:13:03 2021-08-21 18:38:56 [INFO] [TRAIN] epoch: 45, iter: 16530/160000, loss: 0.0976, lr: 0.000054, batch_cost: 1.1872, reader_cost: 0.00017, ips: 1.6846 samples/sec | ETA 47:18:47 2021-08-21 18:39:08 [INFO] [TRAIN] epoch: 45, iter: 16540/160000, loss: 0.0799, lr: 0.000054, batch_cost: 1.2031, reader_cost: 0.00017, ips: 1.6623 samples/sec | ETA 47:56:39 2021-08-21 18:39:20 [INFO] [TRAIN] epoch: 45, iter: 16550/160000, loss: 0.0995, lr: 0.000054, batch_cost: 1.2004, reader_cost: 0.00017, ips: 1.6661 samples/sec | ETA 47:50:01 2021-08-21 18:39:32 [INFO] [TRAIN] epoch: 45, iter: 16560/160000, loss: 0.1141, lr: 0.000054, batch_cost: 1.1933, reader_cost: 0.00017, ips: 1.6760 samples/sec | ETA 47:32:53 2021-08-21 18:39:44 [INFO] [TRAIN] epoch: 45, iter: 16570/160000, loss: 0.0906, lr: 0.000054, batch_cost: 1.1940, reader_cost: 0.00018, ips: 1.6750 samples/sec | ETA 47:34:16 2021-08-21 18:39:56 [INFO] [TRAIN] epoch: 45, iter: 16580/160000, loss: 0.0885, lr: 0.000054, batch_cost: 1.1943, reader_cost: 0.00017, ips: 1.6746 samples/sec | ETA 47:34:47 2021-08-21 18:40:08 [INFO] [TRAIN] epoch: 45, iter: 16590/160000, loss: 0.0814, lr: 0.000054, batch_cost: 1.1886, reader_cost: 0.00017, ips: 1.6826 samples/sec | ETA 47:21:00 2021-08-21 18:40:20 [INFO] [TRAIN] epoch: 45, iter: 16600/160000, loss: 0.1043, lr: 0.000054, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6752 samples/sec | ETA 47:33:18 2021-08-21 18:40:32 [INFO] [TRAIN] epoch: 45, iter: 16610/160000, loss: 0.0860, lr: 0.000054, batch_cost: 1.1965, reader_cost: 0.00017, ips: 1.6716 samples/sec | ETA 47:39:20 2021-08-21 18:40:44 [INFO] [TRAIN] epoch: 45, iter: 16620/160000, loss: 0.1002, lr: 0.000054, batch_cost: 1.1994, reader_cost: 0.00017, ips: 1.6675 samples/sec | ETA 47:46:06 2021-08-21 18:40:55 [INFO] [TRAIN] epoch: 45, iter: 16630/160000, loss: 0.0956, lr: 0.000054, batch_cost: 1.1975, reader_cost: 0.00017, ips: 1.6702 samples/sec | ETA 47:41:21 2021-08-21 18:41:07 [INFO] [TRAIN] epoch: 45, iter: 16640/160000, loss: 0.0892, lr: 0.000054, batch_cost: 1.1919, 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2021-08-21 19:34:29 [INFO] [TRAIN] epoch: 52, iter: 19310/160000, loss: 0.0983, lr: 0.000053, batch_cost: 1.1838, reader_cost: 0.00017, ips: 1.6895 samples/sec | ETA 46:15:42 2021-08-21 19:34:41 [INFO] [TRAIN] epoch: 52, iter: 19320/160000, loss: 0.0933, lr: 0.000053, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 46:37:28 2021-08-21 19:34:53 [INFO] [TRAIN] epoch: 52, iter: 19330/160000, loss: 0.1492, lr: 0.000053, batch_cost: 1.2019, reader_cost: 0.00018, ips: 1.6640 samples/sec | ETA 46:57:51 2021-08-21 19:35:05 [INFO] [TRAIN] epoch: 52, iter: 19340/160000, loss: 0.1792, lr: 0.000053, batch_cost: 1.1732, reader_cost: 0.00014, ips: 1.7048 samples/sec | ETA 45:50:15 2021-08-21 19:35:19 [INFO] [TRAIN] epoch: 53, iter: 19350/160000, loss: 0.1005, lr: 0.000053, batch_cost: 1.3859, reader_cost: 0.18281, ips: 1.4431 samples/sec | ETA 54:08:49 2021-08-21 19:35:31 [INFO] [TRAIN] epoch: 53, iter: 19360/160000, loss: 0.0766, lr: 0.000053, batch_cost: 1.1911, reader_cost: 0.00065, ips: 1.6791 samples/sec | ETA 46:31:56 2021-08-21 19:35:43 [INFO] [TRAIN] epoch: 53, iter: 19370/160000, loss: 0.0965, lr: 0.000053, batch_cost: 1.1936, reader_cost: 0.00018, ips: 1.6756 samples/sec | ETA 46:37:37 2021-08-21 19:35:55 [INFO] [TRAIN] epoch: 53, iter: 19380/160000, loss: 0.0956, lr: 0.000053, batch_cost: 1.2056, reader_cost: 0.00017, ips: 1.6590 samples/sec | ETA 47:05:25 2021-08-21 19:36:07 [INFO] [TRAIN] epoch: 53, iter: 19390/160000, loss: 0.0943, lr: 0.000053, batch_cost: 1.1965, reader_cost: 0.00016, ips: 1.6716 samples/sec | ETA 46:43:54 2021-08-21 19:36:19 [INFO] [TRAIN] epoch: 53, iter: 19400/160000, loss: 0.0794, lr: 0.000053, batch_cost: 1.1873, reader_cost: 0.00017, ips: 1.6845 samples/sec | ETA 46:22:10 2021-08-21 19:36:30 [INFO] [TRAIN] epoch: 53, iter: 19410/160000, loss: 0.0828, lr: 0.000053, batch_cost: 1.1881, reader_cost: 0.00018, ips: 1.6834 samples/sec | ETA 46:23:54 2021-08-21 19:36:42 [INFO] [TRAIN] epoch: 53, iter: 19420/160000, loss: 0.1092, lr: 0.000053, batch_cost: 1.1946, reader_cost: 0.00017, ips: 1.6742 samples/sec | ETA 46:38:57 2021-08-21 19:36:54 [INFO] [TRAIN] epoch: 53, iter: 19430/160000, loss: 0.1012, lr: 0.000053, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 46:33:25 2021-08-21 19:37:06 [INFO] [TRAIN] epoch: 53, iter: 19440/160000, loss: 0.0981, lr: 0.000053, batch_cost: 1.1924, reader_cost: 0.00016, ips: 1.6773 samples/sec | ETA 46:33:24 2021-08-21 19:37:18 [INFO] [TRAIN] epoch: 53, iter: 19450/160000, loss: 0.2122, lr: 0.000053, batch_cost: 1.1955, reader_cost: 0.00016, ips: 1.6729 samples/sec | ETA 46:40:31 2021-08-21 19:37:30 [INFO] [TRAIN] epoch: 53, iter: 19460/160000, loss: 0.1011, lr: 0.000053, batch_cost: 1.2027, reader_cost: 0.00018, ips: 1.6629 samples/sec | ETA 46:57:06 2021-08-21 19:37:42 [INFO] [TRAIN] epoch: 53, iter: 19470/160000, loss: 0.0766, lr: 0.000053, batch_cost: 1.1806, reader_cost: 0.00018, ips: 1.6941 samples/sec | ETA 46:05:03 2021-08-21 19:37:54 [INFO] [TRAIN] epoch: 53, iter: 19480/160000, loss: 0.1010, lr: 0.000053, batch_cost: 1.1853, reader_cost: 0.00018, ips: 1.6873 samples/sec | ETA 46:16:02 2021-08-21 19:38:06 [INFO] [TRAIN] epoch: 53, iter: 19490/160000, loss: 0.0891, lr: 0.000053, batch_cost: 1.1929, reader_cost: 0.00018, ips: 1.6766 samples/sec | ETA 46:33:35 2021-08-21 19:38:18 [INFO] [TRAIN] epoch: 53, iter: 19500/160000, loss: 0.0954, lr: 0.000053, batch_cost: 1.1875, reader_cost: 0.00016, ips: 1.6842 samples/sec | ETA 46:20:40 2021-08-21 19:38:30 [INFO] [TRAIN] epoch: 53, iter: 19510/160000, loss: 0.0959, lr: 0.000053, batch_cost: 1.1879, reader_cost: 0.00016, ips: 1.6837 samples/sec | ETA 46:21:23 2021-08-21 19:38:42 [INFO] [TRAIN] epoch: 53, iter: 19520/160000, loss: 0.0857, lr: 0.000053, batch_cost: 1.1991, reader_cost: 0.00016, ips: 1.6680 samples/sec | ETA 46:47:25 2021-08-21 19:38:53 [INFO] [TRAIN] epoch: 53, iter: 19530/160000, loss: 0.0902, lr: 0.000053, batch_cost: 1.1982, reader_cost: 0.00016, ips: 1.6691 samples/sec | ETA 46:45:14 2021-08-21 19:39:05 [INFO] [TRAIN] epoch: 53, iter: 19540/160000, loss: 0.0776, lr: 0.000053, batch_cost: 1.1898, reader_cost: 0.00017, ips: 1.6809 samples/sec | ETA 46:25:23 2021-08-21 19:39:17 [INFO] [TRAIN] epoch: 53, iter: 19550/160000, loss: 0.0888, lr: 0.000053, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 46:27:37 2021-08-21 19:39:29 [INFO] [TRAIN] epoch: 53, iter: 19560/160000, loss: 0.1114, lr: 0.000053, batch_cost: 1.1875, reader_cost: 0.00016, ips: 1.6842 samples/sec | ETA 46:19:37 2021-08-21 19:39:41 [INFO] [TRAIN] epoch: 53, iter: 19570/160000, loss: 0.0923, lr: 0.000053, batch_cost: 1.1907, reader_cost: 0.00016, ips: 1.6797 samples/sec | ETA 46:26:45 2021-08-21 19:39:53 [INFO] [TRAIN] epoch: 53, iter: 19580/160000, loss: 0.1040, lr: 0.000053, batch_cost: 1.2070, reader_cost: 0.00016, ips: 1.6571 samples/sec | ETA 47:04:40 2021-08-21 19:40:05 [INFO] [TRAIN] epoch: 53, iter: 19590/160000, loss: 0.1159, lr: 0.000053, batch_cost: 1.1984, reader_cost: 0.00016, ips: 1.6689 samples/sec | ETA 46:44:29 2021-08-21 19:40:17 [INFO] [TRAIN] epoch: 53, iter: 19600/160000, loss: 0.0978, lr: 0.000053, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6767 samples/sec | ETA 46:31:07 2021-08-21 19:40:29 [INFO] [TRAIN] epoch: 53, iter: 19610/160000, loss: 0.0808, lr: 0.000053, batch_cost: 1.1883, reader_cost: 0.00016, ips: 1.6831 samples/sec | ETA 46:20:27 2021-08-21 19:40:41 [INFO] [TRAIN] epoch: 53, iter: 19620/160000, loss: 0.1117, lr: 0.000053, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 46:26:26 2021-08-21 19:40:53 [INFO] [TRAIN] epoch: 53, iter: 19630/160000, loss: 0.0903, lr: 0.000053, batch_cost: 1.1855, reader_cost: 0.00017, ips: 1.6870 samples/sec | ETA 46:13:31 2021-08-21 19:41:05 [INFO] [TRAIN] epoch: 53, iter: 19640/160000, loss: 0.1010, lr: 0.000053, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6808 samples/sec | ETA 46:23:32 2021-08-21 19:41:16 [INFO] [TRAIN] epoch: 53, iter: 19650/160000, loss: 0.1105, lr: 0.000053, batch_cost: 1.1882, reader_cost: 0.00016, ips: 1.6833 samples/sec | ETA 46:19:17 2021-08-21 19:41:29 [INFO] [TRAIN] epoch: 53, iter: 19660/160000, loss: 0.0724, lr: 0.000053, batch_cost: 1.2005, reader_cost: 0.00016, ips: 1.6660 samples/sec | ETA 46:47:56 2021-08-21 19:41:40 [INFO] [TRAIN] epoch: 53, iter: 19670/160000, loss: 0.1206, lr: 0.000053, batch_cost: 1.1935, reader_cost: 0.00018, ips: 1.6757 samples/sec | ETA 46:31:27 2021-08-21 19:41:52 [INFO] [TRAIN] epoch: 53, iter: 19680/160000, loss: 0.1299, lr: 0.000053, batch_cost: 1.1973, reader_cost: 0.00017, ips: 1.6704 samples/sec | ETA 46:40:02 2021-08-21 19:42:04 [INFO] [TRAIN] epoch: 53, iter: 19690/160000, loss: 0.1034, lr: 0.000053, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 46:35:42 2021-08-21 19:42:16 [INFO] [TRAIN] epoch: 53, iter: 19700/160000, loss: 0.1315, lr: 0.000053, batch_cost: 1.1911, reader_cost: 0.00016, ips: 1.6792 samples/sec | ETA 46:25:06 2021-08-21 19:42:28 [INFO] [TRAIN] epoch: 53, iter: 19710/160000, loss: 0.0911, lr: 0.000053, batch_cost: 1.1752, reader_cost: 0.00014, ips: 1.7019 samples/sec | ETA 45:47:45 2021-08-21 19:42:42 [INFO] [TRAIN] epoch: 54, iter: 19720/160000, loss: 0.0861, lr: 0.000053, batch_cost: 1.3887, reader_cost: 0.16211, ips: 1.4401 samples/sec | ETA 54:06:53 2021-08-21 19:42:54 [INFO] [TRAIN] epoch: 54, iter: 19730/160000, loss: 0.0809, lr: 0.000053, batch_cost: 1.2046, reader_cost: 0.00068, ips: 1.6604 samples/sec | ETA 46:56:03 2021-08-21 19:43:06 [INFO] [TRAIN] epoch: 54, iter: 19740/160000, loss: 0.1012, lr: 0.000053, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 46:34:44 2021-08-21 19:43:18 [INFO] [TRAIN] epoch: 54, iter: 19750/160000, loss: 0.1063, lr: 0.000053, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 46:32:57 2021-08-21 19:43:30 [INFO] [TRAIN] epoch: 54, iter: 19760/160000, loss: 0.0752, lr: 0.000053, batch_cost: 1.1871, reader_cost: 0.00017, ips: 1.6848 samples/sec | ETA 46:14:39 2021-08-21 19:43:42 [INFO] [TRAIN] epoch: 54, iter: 19770/160000, loss: 0.0858, lr: 0.000053, batch_cost: 1.1959, reader_cost: 0.00016, ips: 1.6724 samples/sec | ETA 46:35:04 2021-08-21 19:43:54 [INFO] [TRAIN] epoch: 54, iter: 19780/160000, loss: 0.1194, lr: 0.000053, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6788 samples/sec | ETA 46:24:10 2021-08-21 19:44:06 [INFO] [TRAIN] epoch: 54, iter: 19790/160000, loss: 0.0801, lr: 0.000053, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6815 samples/sec | ETA 46:19:31 2021-08-21 19:44:18 [INFO] [TRAIN] epoch: 54, iter: 19800/160000, loss: 0.0893, lr: 0.000053, batch_cost: 1.2029, reader_cost: 0.00017, ips: 1.6627 samples/sec | ETA 46:50:40 2021-08-21 19:44:29 [INFO] [TRAIN] epoch: 54, iter: 19810/160000, loss: 0.0993, lr: 0.000053, batch_cost: 1.1873, reader_cost: 0.00017, ips: 1.6845 samples/sec | ETA 46:14:06 2021-08-21 19:44:41 [INFO] [TRAIN] epoch: 54, iter: 19820/160000, loss: 0.0951, lr: 0.000053, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 46:27:20 2021-08-21 19:44:53 [INFO] [TRAIN] epoch: 54, iter: 19830/160000, loss: 0.0956, lr: 0.000053, batch_cost: 1.1898, reader_cost: 0.00017, ips: 1.6809 samples/sec | ETA 46:19:40 2021-08-21 19:45:05 [INFO] [TRAIN] epoch: 54, iter: 19840/160000, loss: 0.0777, lr: 0.000053, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 46:28:36 2021-08-21 19:45:17 [INFO] [TRAIN] epoch: 54, iter: 19850/160000, loss: 0.0858, lr: 0.000053, batch_cost: 1.1934, reader_cost: 0.00018, ips: 1.6759 samples/sec | ETA 46:27:33 2021-08-21 19:45:29 [INFO] [TRAIN] epoch: 54, iter: 19860/160000, loss: 0.0983, lr: 0.000053, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6804 samples/sec | ETA 46:19:57 2021-08-21 19:45:41 [INFO] [TRAIN] epoch: 54, iter: 19870/160000, loss: 0.1276, lr: 0.000053, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 46:24:53 2021-08-21 19:45:53 [INFO] [TRAIN] epoch: 54, iter: 19880/160000, loss: 0.0852, lr: 0.000053, batch_cost: 1.2045, reader_cost: 0.00017, ips: 1.6604 samples/sec | ETA 46:52:59 2021-08-21 19:46:05 [INFO] [TRAIN] epoch: 54, iter: 19890/160000, loss: 0.0918, lr: 0.000053, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6799 samples/sec | ETA 46:20:04 2021-08-21 19:46:17 [INFO] [TRAIN] epoch: 54, iter: 19900/160000, loss: 0.0881, lr: 0.000053, batch_cost: 1.2005, reader_cost: 0.00017, ips: 1.6660 samples/sec | ETA 46:43:10 2021-08-21 19:46:29 [INFO] [TRAIN] epoch: 54, iter: 19910/160000, loss: 0.0896, lr: 0.000053, batch_cost: 1.1901, reader_cost: 0.00016, ips: 1.6806 samples/sec | ETA 46:18:38 2021-08-21 19:46:41 [INFO] [TRAIN] epoch: 54, iter: 19920/160000, loss: 0.0814, lr: 0.000053, batch_cost: 1.2018, reader_cost: 0.00017, ips: 1.6642 samples/sec | ETA 46:45:45 2021-08-21 19:46:53 [INFO] [TRAIN] epoch: 54, iter: 19930/160000, loss: 0.0941, lr: 0.000053, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6714 samples/sec | ETA 46:33:30 2021-08-21 19:47:05 [INFO] [TRAIN] epoch: 54, iter: 19940/160000, loss: 0.1071, lr: 0.000053, batch_cost: 1.1986, reader_cost: 0.00017, ips: 1.6687 samples/sec | ETA 46:37:49 2021-08-21 19:47:17 [INFO] [TRAIN] epoch: 54, iter: 19950/160000, loss: 0.0918, lr: 0.000053, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6784 samples/sec | ETA 46:21:25 2021-08-21 19:47:29 [INFO] [TRAIN] epoch: 54, iter: 19960/160000, loss: 0.0816, lr: 0.000053, batch_cost: 1.1923, reader_cost: 0.00016, ips: 1.6774 samples/sec | ETA 46:22:50 2021-08-21 19:47:41 [INFO] [TRAIN] epoch: 54, iter: 19970/160000, loss: 0.0926, lr: 0.000053, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6769 samples/sec | ETA 46:23:28 2021-08-21 19:47:52 [INFO] [TRAIN] epoch: 54, iter: 19980/160000, loss: 0.0971, lr: 0.000053, batch_cost: 1.1915, reader_cost: 0.00018, ips: 1.6786 samples/sec | ETA 46:20:27 2021-08-21 19:48:04 [INFO] [TRAIN] epoch: 54, iter: 19990/160000, loss: 0.1163, lr: 0.000053, batch_cost: 1.1987, reader_cost: 0.00017, ips: 1.6685 samples/sec | ETA 46:37:10 2021-08-21 19:48:16 [INFO] [TRAIN] epoch: 54, iter: 20000/160000, loss: 0.0951, lr: 0.000053, batch_cost: 1.2012, reader_cost: 0.00018, ips: 1.6650 samples/sec | ETA 46:42:51 2021-08-21 19:48:16 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:34 - batch_cost: 2.2141 - reader cost: 0.3548 2/125 [..............................] - ETA: 4:16 - batch_cost: 2.0815 - reader cost: 0.1775 3/125 [..............................] - ETA: 4:03 - batch_cost: 1.9967 - reader cost: 0.1184 4/125 [..............................] - ETA: 3:57 - batch_cost: 1.9617 - reader cost: 0.0888 5/125 [>.............................] - ETA: 3:52 - batch_cost: 1.9342 - reader cost: 0.0711 6/125 [>.............................] - ETA: 3:49 - batch_cost: 1.9291 - reader cost: 0.0593 7/125 [>.............................] - ETA: 3:46 - batch_cost: 1.9162 - reader cost: 0.0508 8/125 [>.............................] - ETA: 3:43 - batch_cost: 1.9100 - reader cost: 0.0445 9/125 [=>............................] - ETA: 3:40 - batch_cost: 1.9029 - reader cost: 0.0396 10/125 [=>............................] - ETA: 3:38 - batch_cost: 1.8982 - reader cost: 0.0356 11/125 [=>............................] - ETA: 3:35 - batch_cost: 1.8944 - reader cost: 0.0324 12/125 [=>............................] - ETA: 3:33 - batch_cost: 1.8930 - reader cost: 0.0297 13/125 [==>...........................] - ETA: 3:31 - batch_cost: 1.8907 - reader cost: 0.0275 14/125 [==>...........................] - ETA: 3:29 - batch_cost: 1.8900 - reader cost: 0.0255 15/125 [==>...........................] - ETA: 3:27 - batch_cost: 1.8873 - reader cost: 0.0238 16/125 [==>...........................] - ETA: 3:25 - batch_cost: 1.8867 - reader cost: 0.0223 17/125 [===>..........................] - ETA: 3:23 - batch_cost: 1.8838 - reader cost: 0.0210 18/125 [===>..........................] - ETA: 3:21 - batch_cost: 1.8826 - reader cost: 0.0199 19/125 [===>..........................] - ETA: 3:19 - batch_cost: 1.8834 - reader cost: 0.0188 20/125 [===>..........................] - ETA: 3:17 - batch_cost: 1.8806 - reader cost: 0.0179 21/125 [====>.........................] - ETA: 3:15 - batch_cost: 1.8793 - reader cost: 0.0171 22/125 [====>.........................] - ETA: 3:13 - batch_cost: 1.8772 - reader cost: 0.0163 23/125 [====>.........................] - ETA: 3:11 - batch_cost: 1.8792 - reader cost: 0.0156 24/125 [====>.........................] - ETA: 3:09 - batch_cost: 1.8793 - reader cost: 0.0150 25/125 [=====>........................] - ETA: 3:07 - batch_cost: 1.8790 - reader cost: 0.0144 26/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.8798 - reader cost: 0.0138 27/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.8807 - reader cost: 0.0133 28/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8800 - reader cost: 0.0128 29/125 [=====>........................] - ETA: 3:00 - batch_cost: 1.8801 - reader cost: 0.0124 30/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8798 - reader cost: 0.0120 31/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8796 - reader cost: 0.0116 32/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8792 - reader cost: 0.0113 33/125 [======>.......................] - ETA: 2:52 - batch_cost: 1.8789 - reader cost: 0.0109 34/125 [=======>......................] - ETA: 2:51 - batch_cost: 1.8789 - reader cost: 0.0106 35/125 [=======>......................] - ETA: 2:49 - batch_cost: 1.8790 - reader cost: 0.0103 36/125 [=======>......................] - ETA: 2:47 - batch_cost: 1.8789 - reader cost: 0.0100 37/125 [=======>......................] - ETA: 2:45 - batch_cost: 1.8788 - reader cost: 0.0098 38/125 [========>.....................] - ETA: 2:43 - batch_cost: 1.8785 - reader cost: 0.0095 39/125 [========>.....................] - ETA: 2:41 - batch_cost: 1.8787 - reader cost: 0.0093 40/125 [========>.....................] - ETA: 2:39 - batch_cost: 1.8788 - reader cost: 0.0090 41/125 [========>.....................] - ETA: 2:37 - batch_cost: 1.8789 - reader cost: 0.0088 42/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.8788 - reader cost: 0.0086 43/125 [=========>....................] - ETA: 2:34 - batch_cost: 1.8788 - reader cost: 0.0084 44/125 [=========>....................] - ETA: 2:32 - batch_cost: 1.8787 - reader cost: 0.0082 45/125 [=========>....................] - ETA: 2:30 - batch_cost: 1.8790 - reader cost: 0.0081 46/125 [==========>...................] - ETA: 2:28 - batch_cost: 1.8794 - reader cost: 0.0079 47/125 [==========>...................] - ETA: 2:26 - batch_cost: 1.8796 - reader cost: 0.0077 48/125 [==========>...................] - ETA: 2:24 - batch_cost: 1.8795 - reader cost: 0.0076 49/125 [==========>...................] - ETA: 2:22 - batch_cost: 1.8795 - reader cost: 0.0074 50/125 [===========>..................] - ETA: 2:20 - batch_cost: 1.8794 - reader cost: 0.0073 51/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.8793 - reader cost: 0.0071 52/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.8797 - reader cost: 0.0070 53/125 [===========>..................] - ETA: 2:15 - batch_cost: 1.8798 - reader cost: 0.0069 54/125 [===========>..................] - ETA: 2:13 - batch_cost: 1.8799 - reader cost: 0.0068 55/125 [============>.................] - ETA: 2:11 - batch_cost: 1.8799 - reader cost: 0.0066 56/125 [============>.................] - ETA: 2:09 - batch_cost: 1.8801 - reader cost: 0.0065 57/125 [============>.................] - ETA: 2:07 - batch_cost: 1.8800 - reader cost: 0.0064 58/125 [============>.................] - ETA: 2:05 - batch_cost: 1.8797 - reader cost: 0.0063 59/125 [=============>................] - ETA: 2:04 - batch_cost: 1.8795 - reader cost: 0.0062 60/125 [=============>................] - ETA: 2:02 - batch_cost: 1.8792 - reader cost: 0.0061 61/125 [=============>................] - ETA: 2:00 - batch_cost: 1.8790 - reader cost: 0.0060 62/125 [=============>................] - ETA: 1:58 - batch_cost: 1.8787 - reader cost: 0.0059 63/125 [==============>...............] - ETA: 1:56 - batch_cost: 1.8785 - reader cost: 0.0058 64/125 [==============>...............] - ETA: 1:54 - batch_cost: 1.8783 - reader cost: 0.0057 65/125 [==============>...............] - ETA: 1:52 - batch_cost: 1.8781 - reader cost: 0.0056 66/125 [==============>...............] - ETA: 1:50 - batch_cost: 1.8780 - reader cost: 0.0056 67/125 [===============>..............] - ETA: 1:48 - batch_cost: 1.8777 - reader cost: 0.0055 68/125 [===============>..............] - ETA: 1:47 - batch_cost: 1.8775 - reader cost: 0.0054 69/125 [===============>..............] - ETA: 1:45 - batch_cost: 1.8775 - reader cost: 0.0053 70/125 [===============>..............] - ETA: 1:43 - batch_cost: 1.8777 - reader cost: 0.0052 71/125 [================>.............] - ETA: 1:41 - batch_cost: 1.8776 - reader cost: 0.0052 72/125 [================>.............] - ETA: 1:39 - batch_cost: 1.8773 - reader cost: 0.0051 73/125 [================>.............] - ETA: 1:37 - batch_cost: 1.8774 - reader cost: 0.0050 74/125 [================>.............] - ETA: 1:35 - batch_cost: 1.8774 - reader cost: 0.0050 75/125 [=================>............] - ETA: 1:33 - batch_cost: 1.8771 - reader cost: 0.0049 76/125 [=================>............] - ETA: 1:31 - batch_cost: 1.8769 - reader cost: 0.0048 77/125 [=================>............] - ETA: 1:30 - batch_cost: 1.8768 - reader cost: 0.0048 78/125 [=================>............] - ETA: 1:28 - batch_cost: 1.8766 - reader cost: 0.0047 79/125 [=================>............] - ETA: 1:26 - batch_cost: 1.8767 - reader cost: 0.0047 80/125 [==================>...........] - ETA: 1:24 - 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[====================>.........] - ETA: 1:03 - batch_cost: 1.8768 - reader cost: 0.0041 92/125 [=====================>........] - ETA: 1:01 - batch_cost: 1.8765 - reader cost: 0.0040 93/125 [=====================>........] - ETA: 1:00 - batch_cost: 1.8764 - reader cost: 0.0040 94/125 [=====================>........] - ETA: 58s - batch_cost: 1.8763 - reader cost: 0.0040  95/125 [=====================>........] - ETA: 56s - batch_cost: 1.8761 - reader cost: 0.0039 96/125 [======================>.......] - ETA: 54s - batch_cost: 1.8761 - reader cost: 0.0039 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8761 - reader cost: 0.0038 98/125 [======================>.......] - ETA: 50s - batch_cost: 1.8760 - reader cost: 0.0038 99/125 [======================>.......] - ETA: 48s - batch_cost: 1.8759 - reader cost: 0.0038 100/125 [=======================>......] - ETA: 46s - batch_cost: 1.8758 - reader cost: 0.0037 101/125 [=======================>......] - ETA: 45s - 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[=========================>....] - ETA: 24s - batch_cost: 1.8744 - reader cost: 0.0033 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8743 - reader cost: 0.0033 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8743 - reader cost: 0.0033 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8743 - reader cost: 0.0033 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8742 - reader cost: 0.0032 117/125 [===========================>..] - ETA: 14s - batch_cost: 1.8740 - reader cost: 0.0032 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8739 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8734 - reader cost: 0.0032 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8737 - reader cost: 0.0031  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8736 - reader cost: 0.0031 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8734 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8733 - reader cost: 0.0031 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8730 - reader cost: 0.0030 125/125 [==============================] - 234s 2s/step - batch_cost: 1.8726 - reader cost: 0.0030 2021-08-21 19:52:11 [INFO] [EVAL] #Images: 500 mIoU: 0.8004 Acc: 0.9636 Kappa: 0.9528 2021-08-21 19:52:11 [INFO] [EVAL] Class IoU: [0.9826 0.8606 0.9329 0.6481 0.6325 0.6549 0.7182 0.7897 0.9279 0.6572 0.9527 0.825 0.6386 0.9516 0.8512 0.8739 0.8328 0.6986 0.7794] 2021-08-21 19:52:11 [INFO] [EVAL] Class Acc: [0.9941 0.909 0.9701 0.8021 0.8328 0.8109 0.8387 0.8876 0.9526 0.8357 0.969 0.8865 0.7611 0.9718 0.9605 0.9439 0.9107 0.8059 0.8499] 2021-08-21 19:52:14 [INFO] [EVAL] The model with the best validation mIoU (0.8004) was saved at iter 20000. 2021-08-21 19:52:26 [INFO] [TRAIN] epoch: 54, iter: 20010/160000, loss: 0.0873, lr: 0.000052, batch_cost: 1.1864, reader_cost: 0.00059, ips: 1.6857 samples/sec | ETA 46:08:08 2021-08-21 19:52:38 [INFO] [TRAIN] epoch: 54, iter: 20020/160000, loss: 0.0985, lr: 0.000052, batch_cost: 1.2036, reader_cost: 0.00017, ips: 1.6617 samples/sec | ETA 46:48:02 2021-08-21 19:52:50 [INFO] [TRAIN] epoch: 54, iter: 20030/160000, loss: 0.1053, lr: 0.000052, batch_cost: 1.2057, reader_cost: 0.00017, ips: 1.6588 samples/sec | ETA 46:52:36 2021-08-21 19:53:02 [INFO] [TRAIN] epoch: 54, iter: 20040/160000, loss: 0.1007, lr: 0.000052, batch_cost: 1.2015, reader_cost: 0.00018, ips: 1.6646 samples/sec | ETA 46:42:45 2021-08-21 19:53:14 [INFO] [TRAIN] epoch: 54, iter: 20050/160000, loss: 0.0958, lr: 0.000052, batch_cost: 1.2010, reader_cost: 0.00017, ips: 1.6653 samples/sec | ETA 46:41:14 2021-08-21 19:53:26 [INFO] [TRAIN] epoch: 54, iter: 20060/160000, loss: 0.0719, lr: 0.000052, batch_cost: 1.1901, reader_cost: 0.00016, ips: 1.6805 samples/sec | ETA 46:15:43 2021-08-21 19:53:38 [INFO] [TRAIN] epoch: 54, iter: 20070/160000, loss: 0.0990, lr: 0.000052, batch_cost: 1.1945, reader_cost: 0.00016, ips: 1.6744 samples/sec | ETA 46:25:41 2021-08-21 19:53:49 [INFO] [TRAIN] epoch: 54, iter: 20080/160000, loss: 0.0994, lr: 0.000052, batch_cost: 1.1837, reader_cost: 0.00061, ips: 1.6896 samples/sec | ETA 46:00:27 2021-08-21 19:54:03 [INFO] [TRAIN] epoch: 55, iter: 20090/160000, loss: 0.0918, lr: 0.000052, batch_cost: 1.3777, reader_cost: 0.16589, ips: 1.4517 samples/sec | ETA 53:32:32 2021-08-21 19:54:15 [INFO] [TRAIN] epoch: 55, iter: 20100/160000, loss: 0.0991, lr: 0.000052, batch_cost: 1.2061, reader_cost: 0.00069, ips: 1.6583 samples/sec | ETA 46:52:11 2021-08-21 19:54:27 [INFO] [TRAIN] epoch: 55, iter: 20110/160000, loss: 0.0938, lr: 0.000052, batch_cost: 1.2063, reader_cost: 0.00019, ips: 1.6579 samples/sec | ETA 46:52:33 2021-08-21 19:54:39 [INFO] [TRAIN] epoch: 55, iter: 20120/160000, loss: 0.0694, lr: 0.000052, batch_cost: 1.1984, reader_cost: 0.00019, ips: 1.6689 samples/sec | ETA 46:33:48 2021-08-21 19:54:51 [INFO] [TRAIN] epoch: 55, iter: 20130/160000, loss: 0.0799, lr: 0.000052, batch_cost: 1.2037, reader_cost: 0.00020, ips: 1.6616 samples/sec | ETA 46:45:59 2021-08-21 19:55:03 [INFO] [TRAIN] epoch: 55, iter: 20140/160000, loss: 0.0908, lr: 0.000052, batch_cost: 1.2096, reader_cost: 0.00020, ips: 1.6534 samples/sec | ETA 46:59:39 2021-08-21 19:55:16 [INFO] [TRAIN] epoch: 55, iter: 20150/160000, loss: 0.1051, lr: 0.000052, batch_cost: 1.2124, reader_cost: 0.00020, ips: 1.6496 samples/sec | ETA 47:05:54 2021-08-21 19:55:28 [INFO] [TRAIN] epoch: 55, iter: 20160/160000, loss: 0.0952, lr: 0.000052, batch_cost: 1.2016, reader_cost: 0.00018, ips: 1.6645 samples/sec | ETA 46:40:28 2021-08-21 19:55:40 [INFO] [TRAIN] epoch: 55, iter: 20170/160000, loss: 0.1053, lr: 0.000052, batch_cost: 1.1953, reader_cost: 0.00016, ips: 1.6733 samples/sec | ETA 46:25:33 2021-08-21 19:55:52 [INFO] [TRAIN] epoch: 55, iter: 20180/160000, loss: 0.1007, lr: 0.000052, batch_cost: 1.1945, reader_cost: 0.00016, ips: 1.6743 samples/sec | ETA 46:23:38 2021-08-21 19:56:04 [INFO] [TRAIN] epoch: 55, iter: 20190/160000, loss: 0.0930, lr: 0.000052, batch_cost: 1.2008, reader_cost: 0.00017, ips: 1.6656 samples/sec | ETA 46:38:01 2021-08-21 19:56:15 [INFO] [TRAIN] epoch: 55, iter: 20200/160000, loss: 0.0762, lr: 0.000052, batch_cost: 1.1931, reader_cost: 0.00016, ips: 1.6763 samples/sec | ETA 46:19:54 2021-08-21 19:56:27 [INFO] [TRAIN] epoch: 55, iter: 20210/160000, loss: 0.0961, lr: 0.000052, batch_cost: 1.1895, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 46:11:26 2021-08-21 19:56:39 [INFO] [TRAIN] epoch: 55, iter: 20220/160000, loss: 0.0820, lr: 0.000052, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6816 samples/sec | ETA 46:10:44 2021-08-21 19:56:51 [INFO] [TRAIN] epoch: 55, iter: 20230/160000, loss: 0.0968, lr: 0.000052, batch_cost: 1.1921, reader_cost: 0.00018, ips: 1.6777 samples/sec | ETA 46:16:57 2021-08-21 19:57:03 [INFO] [TRAIN] epoch: 55, iter: 20240/160000, loss: 0.1149, lr: 0.000052, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6731 samples/sec | ETA 46:24:31 2021-08-21 19:57:15 [INFO] [TRAIN] epoch: 55, iter: 20250/160000, loss: 0.0840, lr: 0.000052, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 46:06:08 2021-08-21 19:57:27 [INFO] [TRAIN] epoch: 55, iter: 20260/160000, loss: 0.0960, lr: 0.000052, batch_cost: 1.1978, reader_cost: 0.00018, ips: 1.6698 samples/sec | ETA 46:29:35 2021-08-21 19:57:39 [INFO] [TRAIN] epoch: 55, iter: 20270/160000, loss: 0.0766, lr: 0.000052, batch_cost: 1.1988, reader_cost: 0.00017, ips: 1.6683 samples/sec | ETA 46:31:52 2021-08-21 19:57:51 [INFO] [TRAIN] epoch: 55, iter: 20280/160000, loss: 0.1125, lr: 0.000052, batch_cost: 1.2018, reader_cost: 0.00017, ips: 1.6641 samples/sec | ETA 46:38:41 2021-08-21 19:58:03 [INFO] [TRAIN] epoch: 55, iter: 20290/160000, loss: 0.1033, lr: 0.000052, batch_cost: 1.1931, reader_cost: 0.00019, ips: 1.6763 samples/sec | ETA 46:18:03 2021-08-21 19:58:15 [INFO] [TRAIN] epoch: 55, iter: 20300/160000, loss: 0.1004, lr: 0.000052, batch_cost: 1.1963, reader_cost: 0.00018, ips: 1.6718 samples/sec | ETA 46:25:27 2021-08-21 19:58:27 [INFO] [TRAIN] epoch: 55, iter: 20310/160000, loss: 0.0967, lr: 0.000052, batch_cost: 1.1973, reader_cost: 0.00018, ips: 1.6704 samples/sec | ETA 46:27:33 2021-08-21 19:58:39 [INFO] [TRAIN] epoch: 55, iter: 20320/160000, loss: 0.1242, lr: 0.000052, batch_cost: 1.1991, reader_cost: 0.00017, ips: 1.6679 samples/sec | ETA 46:31:34 2021-08-21 19:58:51 [INFO] [TRAIN] epoch: 55, iter: 20330/160000, loss: 0.0955, lr: 0.000052, batch_cost: 1.1905, reader_cost: 0.00016, ips: 1.6799 samples/sec | ETA 46:11:23 2021-08-21 19:59:03 [INFO] [TRAIN] epoch: 55, iter: 20340/160000, loss: 0.1032, lr: 0.000052, batch_cost: 1.1894, reader_cost: 0.00016, ips: 1.6815 samples/sec | ETA 46:08:36 2021-08-21 19:59:15 [INFO] [TRAIN] epoch: 55, iter: 20350/160000, loss: 0.0820, lr: 0.000052, batch_cost: 1.1883, reader_cost: 0.00018, ips: 1.6831 samples/sec | ETA 46:05:40 2021-08-21 19:59:26 [INFO] [TRAIN] epoch: 55, iter: 20360/160000, loss: 0.1008, lr: 0.000052, batch_cost: 1.1829, reader_cost: 0.00017, ips: 1.6908 samples/sec | ETA 45:52:56 2021-08-21 19:59:38 [INFO] [TRAIN] epoch: 55, iter: 20370/160000, loss: 0.1288, lr: 0.000052, batch_cost: 1.1943, reader_cost: 0.00017, ips: 1.6746 samples/sec | ETA 46:19:25 2021-08-21 19:59:50 [INFO] [TRAIN] epoch: 55, iter: 20380/160000, loss: 0.1016, lr: 0.000052, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6724 samples/sec | ETA 46:22:49 2021-08-21 20:00:02 [INFO] [TRAIN] epoch: 55, iter: 20390/160000, loss: 0.0874, lr: 0.000052, batch_cost: 1.1941, reader_cost: 0.00016, ips: 1.6749 samples/sec | ETA 46:18:24 2021-08-21 20:00:14 [INFO] [TRAIN] epoch: 55, iter: 20400/160000, loss: 0.0792, lr: 0.000052, batch_cost: 1.1983, reader_cost: 0.00016, ips: 1.6690 samples/sec | ETA 46:28:04 2021-08-21 20:00:26 [INFO] [TRAIN] epoch: 55, iter: 20410/160000, loss: 0.1387, lr: 0.000052, batch_cost: 1.1901, reader_cost: 0.00016, ips: 1.6806 samples/sec | ETA 46:08:42 2021-08-21 20:00:38 [INFO] [TRAIN] epoch: 55, iter: 20420/160000, loss: 0.0968, lr: 0.000052, batch_cost: 1.2007, reader_cost: 0.00016, ips: 1.6656 samples/sec | ETA 46:33:20 2021-08-21 20:00:50 [INFO] [TRAIN] epoch: 55, iter: 20430/160000, loss: 0.1301, lr: 0.000052, batch_cost: 1.2169, reader_cost: 0.00016, ips: 1.6436 samples/sec | ETA 47:10:36 2021-08-21 20:01:02 [INFO] [TRAIN] epoch: 55, iter: 20440/160000, loss: 0.1052, lr: 0.000052, batch_cost: 1.2026, reader_cost: 0.00016, ips: 1.6630 samples/sec | ETA 46:37:19 2021-08-21 20:01:14 [INFO] [TRAIN] epoch: 55, iter: 20450/160000, loss: 0.0893, lr: 0.000052, batch_cost: 1.2141, reader_cost: 0.00015, ips: 1.6473 samples/sec | ETA 47:03:53 2021-08-21 20:01:26 [INFO] [TRAIN] epoch: 55, iter: 20460/160000, loss: 0.0892, lr: 0.000052, batch_cost: 1.1865, reader_cost: 0.00011, ips: 1.6856 samples/sec | ETA 45:59:24 2021-08-21 20:01:40 [INFO] [TRAIN] epoch: 56, iter: 20470/160000, loss: 0.0899, lr: 0.000052, batch_cost: 1.4127, reader_cost: 0.18506, ips: 1.4157 samples/sec | ETA 54:45:14 2021-08-21 20:01:52 [INFO] [TRAIN] epoch: 56, iter: 20480/160000, loss: 0.1032, lr: 0.000052, batch_cost: 1.2023, reader_cost: 0.00069, ips: 1.6635 samples/sec | ETA 46:35:38 2021-08-21 20:02:05 [INFO] [TRAIN] epoch: 56, iter: 20490/160000, loss: 0.1176, lr: 0.000052, batch_cost: 1.2103, reader_cost: 0.00017, ips: 1.6525 samples/sec | ETA 46:54:03 2021-08-21 20:02:17 [INFO] [TRAIN] epoch: 56, iter: 20500/160000, loss: 0.0857, lr: 0.000052, batch_cost: 1.1965, reader_cost: 0.00017, ips: 1.6716 samples/sec | ETA 46:21:45 2021-08-21 20:02:29 [INFO] [TRAIN] epoch: 56, iter: 20510/160000, loss: 0.0811, lr: 0.000052, batch_cost: 1.1983, reader_cost: 0.00018, ips: 1.6690 samples/sec | ETA 46:25:57 2021-08-21 20:02:41 [INFO] [TRAIN] epoch: 56, iter: 20520/160000, loss: 0.1019, lr: 0.000052, batch_cost: 1.1991, reader_cost: 0.00018, ips: 1.6679 samples/sec | ETA 46:27:33 2021-08-21 20:02:52 [INFO] [TRAIN] epoch: 56, iter: 20530/160000, loss: 0.0939, lr: 0.000052, batch_cost: 1.1896, reader_cost: 0.00018, ips: 1.6812 samples/sec | ETA 46:05:16 2021-08-21 20:03:04 [INFO] [TRAIN] epoch: 56, iter: 20540/160000, loss: 0.1235, lr: 0.000052, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 46:03:38 2021-08-21 20:03:16 [INFO] [TRAIN] epoch: 56, iter: 20550/160000, loss: 0.1139, lr: 0.000052, batch_cost: 1.1936, reader_cost: 0.00018, ips: 1.6756 samples/sec | ETA 46:14:03 2021-08-21 20:03:28 [INFO] [TRAIN] epoch: 56, iter: 20560/160000, loss: 0.0958, lr: 0.000052, batch_cost: 1.1932, reader_cost: 0.00018, ips: 1.6762 samples/sec | ETA 46:12:55 2021-08-21 20:03:40 [INFO] [TRAIN] epoch: 56, iter: 20570/160000, loss: 0.0886, lr: 0.000052, batch_cost: 1.1852, reader_cost: 0.00018, ips: 1.6875 samples/sec | ETA 45:54:06 2021-08-21 20:03:52 [INFO] [TRAIN] epoch: 56, iter: 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2021-08-21 20:22:03 [INFO] [TRAIN] epoch: 58, iter: 21490/160000, loss: 0.1130, lr: 0.000052, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 46:01:44 2021-08-21 20:22:14 [INFO] [TRAIN] epoch: 58, iter: 21500/160000, loss: 0.0842, lr: 0.000052, batch_cost: 1.1896, reader_cost: 0.00016, ips: 1.6812 samples/sec | ETA 45:46:01 2021-08-21 20:22:26 [INFO] [TRAIN] epoch: 58, iter: 21510/160000, loss: 0.0913, lr: 0.000052, batch_cost: 1.1932, reader_cost: 0.00016, ips: 1.6762 samples/sec | ETA 45:54:06 2021-08-21 20:22:38 [INFO] [TRAIN] epoch: 58, iter: 21520/160000, loss: 0.1088, lr: 0.000052, batch_cost: 1.1887, reader_cost: 0.00016, ips: 1.6826 samples/sec | ETA 45:43:24 2021-08-21 20:22:50 [INFO] [TRAIN] epoch: 58, iter: 21530/160000, loss: 0.1735, lr: 0.000052, batch_cost: 1.2014, reader_cost: 0.00017, ips: 1.6647 samples/sec | ETA 46:12:40 2021-08-21 20:23:02 [INFO] [TRAIN] epoch: 58, iter: 21540/160000, loss: 0.0948, lr: 0.000052, batch_cost: 1.1945, 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2021-08-21 20:25:27 [INFO] [TRAIN] epoch: 59, iter: 21660/160000, loss: 0.1104, lr: 0.000052, batch_cost: 1.2081, reader_cost: 0.00019, ips: 1.6554 samples/sec | ETA 46:25:35 2021-08-21 20:25:39 [INFO] [TRAIN] epoch: 59, iter: 21670/160000, loss: 0.1050, lr: 0.000052, batch_cost: 1.1968, reader_cost: 0.00019, ips: 1.6712 samples/sec | ETA 45:59:06 2021-08-21 20:25:51 [INFO] [TRAIN] epoch: 59, iter: 21680/160000, loss: 0.0832, lr: 0.000052, batch_cost: 1.2063, reader_cost: 0.00018, ips: 1.6580 samples/sec | ETA 46:20:52 2021-08-21 20:26:03 [INFO] [TRAIN] epoch: 59, iter: 21690/160000, loss: 0.0865, lr: 0.000052, batch_cost: 1.1829, reader_cost: 0.00017, ips: 1.6907 samples/sec | ETA 45:26:49 2021-08-21 20:26:15 [INFO] [TRAIN] epoch: 59, iter: 21700/160000, loss: 0.1303, lr: 0.000052, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 45:37:29 2021-08-21 20:26:27 [INFO] [TRAIN] epoch: 59, iter: 21710/160000, loss: 0.0842, lr: 0.000052, batch_cost: 1.1832, 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2021-08-21 20:32:14 [INFO] [TRAIN] epoch: 60, iter: 22000/160000, loss: 0.0950, lr: 0.000052, batch_cost: 1.1997, reader_cost: 0.00017, ips: 1.6670 samples/sec | ETA 45:59:23 2021-08-21 20:32:26 [INFO] [TRAIN] epoch: 60, iter: 22010/160000, loss: 0.0948, lr: 0.000052, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 45:33:50 2021-08-21 20:32:38 [INFO] [TRAIN] epoch: 60, iter: 22020/160000, loss: 0.0949, lr: 0.000052, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6798 samples/sec | ETA 45:38:02 2021-08-21 20:32:50 [INFO] [TRAIN] epoch: 60, iter: 22030/160000, loss: 0.0957, lr: 0.000052, batch_cost: 1.1934, reader_cost: 0.00017, ips: 1.6758 samples/sec | ETA 45:44:19 2021-08-21 20:33:02 [INFO] [TRAIN] epoch: 60, iter: 22040/160000, loss: 0.0780, lr: 0.000052, batch_cost: 1.1834, reader_cost: 0.00016, ips: 1.6901 samples/sec | ETA 45:20:59 2021-08-21 20:33:14 [INFO] [TRAIN] epoch: 60, iter: 22050/160000, loss: 0.0800, lr: 0.000052, batch_cost: 1.2014, 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2021-08-21 20:59:23 [INFO] [TRAIN] epoch: 63, iter: 23360/160000, loss: 0.0755, lr: 0.000051, batch_cost: 1.1883, reader_cost: 0.00018, ips: 1.6830 samples/sec | ETA 45:06:14 2021-08-21 20:59:35 [INFO] [TRAIN] epoch: 63, iter: 23370/160000, loss: 0.1015, lr: 0.000051, batch_cost: 1.1845, reader_cost: 0.00017, ips: 1.6885 samples/sec | ETA 44:57:17 2021-08-21 20:59:47 [INFO] [TRAIN] epoch: 63, iter: 23380/160000, loss: 0.1096, lr: 0.000051, batch_cost: 1.1852, reader_cost: 0.00018, ips: 1.6875 samples/sec | ETA 44:58:38 2021-08-21 20:59:59 [INFO] [TRAIN] epoch: 63, iter: 23390/160000, loss: 0.1036, lr: 0.000051, batch_cost: 1.1943, reader_cost: 0.00018, ips: 1.6746 samples/sec | ETA 45:19:18 2021-08-21 21:00:11 [INFO] [TRAIN] epoch: 63, iter: 23400/160000, loss: 0.1621, lr: 0.000051, batch_cost: 1.1941, reader_cost: 0.00017, ips: 1.6749 samples/sec | ETA 45:18:34 2021-08-21 21:00:23 [INFO] [TRAIN] epoch: 63, iter: 23410/160000, loss: 0.1564, lr: 0.000051, batch_cost: 1.1986, reader_cost: 0.00018, ips: 1.6687 samples/sec | ETA 45:28:30 2021-08-21 21:00:35 [INFO] [TRAIN] epoch: 63, iter: 23420/160000, loss: 0.0910, lr: 0.000051, batch_cost: 1.1987, reader_cost: 0.00018, ips: 1.6685 samples/sec | ETA 45:28:34 2021-08-21 21:00:46 [INFO] [TRAIN] epoch: 63, iter: 23430/160000, loss: 0.1306, lr: 0.000051, batch_cost: 1.1729, reader_cost: 0.00014, ips: 1.7051 samples/sec | ETA 44:29:46 2021-08-21 21:01:00 [INFO] [TRAIN] epoch: 64, iter: 23440/160000, loss: 0.1292, lr: 0.000051, batch_cost: 1.3942, reader_cost: 0.18514, ips: 1.4345 samples/sec | ETA 52:53:16 2021-08-21 21:01:12 [INFO] [TRAIN] epoch: 64, iter: 23450/160000, loss: 0.1497, lr: 0.000051, batch_cost: 1.1973, reader_cost: 0.00065, ips: 1.6704 samples/sec | ETA 45:24:49 2021-08-21 21:01:24 [INFO] [TRAIN] epoch: 64, iter: 23460/160000, loss: 0.1084, lr: 0.000051, batch_cost: 1.1897, reader_cost: 0.00017, ips: 1.6811 samples/sec | ETA 45:07:22 2021-08-21 21:01:36 [INFO] [TRAIN] epoch: 64, iter: 23470/160000, loss: 0.0808, lr: 0.000051, batch_cost: 1.1950, reader_cost: 0.00018, ips: 1.6737 samples/sec | ETA 45:19:12 2021-08-21 21:01:48 [INFO] [TRAIN] epoch: 64, iter: 23480/160000, loss: 0.0903, lr: 0.000051, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6775 samples/sec | ETA 45:12:45 2021-08-21 21:02:00 [INFO] [TRAIN] epoch: 64, iter: 23490/160000, loss: 0.0952, lr: 0.000051, batch_cost: 1.1901, reader_cost: 0.00018, ips: 1.6805 samples/sec | ETA 45:07:43 2021-08-21 21:02:12 [INFO] [TRAIN] epoch: 64, iter: 23500/160000, loss: 0.0803, lr: 0.000051, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6753 samples/sec | ETA 45:15:53 2021-08-21 21:02:24 [INFO] [TRAIN] epoch: 64, iter: 23510/160000, loss: 0.0981, lr: 0.000051, batch_cost: 1.2041, reader_cost: 0.00018, ips: 1.6610 samples/sec | ETA 45:39:07 2021-08-21 21:02:36 [INFO] [TRAIN] epoch: 64, iter: 23520/160000, loss: 0.0889, lr: 0.000051, batch_cost: 1.2043, reader_cost: 0.00018, ips: 1.6608 samples/sec | ETA 45:39:16 2021-08-21 21:02:48 [INFO] [TRAIN] epoch: 64, iter: 23530/160000, loss: 0.1665, lr: 0.000051, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 45:02:27 2021-08-21 21:03:00 [INFO] [TRAIN] epoch: 64, iter: 23540/160000, loss: 0.0941, lr: 0.000051, batch_cost: 1.1988, reader_cost: 0.00017, ips: 1.6684 samples/sec | ETA 45:26:25 2021-08-21 21:03:12 [INFO] [TRAIN] epoch: 64, iter: 23550/160000, loss: 0.1327, lr: 0.000051, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 45:13:20 2021-08-21 21:03:24 [INFO] [TRAIN] epoch: 64, iter: 23560/160000, loss: 0.1126, lr: 0.000051, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6797 samples/sec | ETA 45:07:37 2021-08-21 21:03:36 [INFO] [TRAIN] epoch: 64, iter: 23570/160000, loss: 0.0912, lr: 0.000051, batch_cost: 1.2071, reader_cost: 0.00018, ips: 1.6569 samples/sec | ETA 45:44:41 2021-08-21 21:03:48 [INFO] [TRAIN] epoch: 64, iter: 23580/160000, loss: 0.1262, lr: 0.000051, batch_cost: 1.1954, reader_cost: 0.00018, ips: 1.6731 samples/sec | ETA 45:17:59 2021-08-21 21:04:00 [INFO] [TRAIN] epoch: 64, iter: 23590/160000, loss: 0.0781, lr: 0.000051, batch_cost: 1.1880, reader_cost: 0.00018, ips: 1.6835 samples/sec | ETA 45:00:53 2021-08-21 21:04:11 [INFO] [TRAIN] epoch: 64, iter: 23600/160000, loss: 0.0957, lr: 0.000051, batch_cost: 1.1803, reader_cost: 0.00018, ips: 1.6944 samples/sec | ETA 44:43:16 2021-08-21 21:04:23 [INFO] [TRAIN] epoch: 64, iter: 23610/160000, loss: 0.0934, lr: 0.000051, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6812 samples/sec | ETA 45:04:12 2021-08-21 21:04:35 [INFO] [TRAIN] epoch: 64, iter: 23620/160000, loss: 0.0937, lr: 0.000051, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6744 samples/sec | ETA 45:15:03 2021-08-21 21:04:47 [INFO] [TRAIN] epoch: 64, iter: 23630/160000, loss: 0.0788, lr: 0.000051, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 45:03:44 2021-08-21 21:04:59 [INFO] [TRAIN] epoch: 64, iter: 23640/160000, loss: 0.0925, lr: 0.000051, batch_cost: 1.1926, reader_cost: 0.00017, ips: 1.6770 samples/sec | ETA 45:10:28 2021-08-21 21:05:11 [INFO] [TRAIN] epoch: 64, iter: 23650/160000, loss: 0.0852, lr: 0.000051, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6776 samples/sec | ETA 45:09:10 2021-08-21 21:05:23 [INFO] [TRAIN] epoch: 64, iter: 23660/160000, loss: 0.0870, lr: 0.000051, batch_cost: 1.1837, reader_cost: 0.00018, ips: 1.6896 samples/sec | ETA 44:49:49 2021-08-21 21:05:35 [INFO] [TRAIN] epoch: 64, iter: 23670/160000, loss: 0.0855, lr: 0.000051, batch_cost: 1.1917, reader_cost: 0.00017, ips: 1.6783 samples/sec | ETA 45:07:43 2021-08-21 21:05:47 [INFO] [TRAIN] epoch: 64, iter: 23680/160000, loss: 0.0962, lr: 0.000051, batch_cost: 1.2093, reader_cost: 0.00020, ips: 1.6539 samples/sec | ETA 45:47:27 2021-08-21 21:05:59 [INFO] [TRAIN] epoch: 64, iter: 23690/160000, loss: 0.0892, lr: 0.000051, batch_cost: 1.2095, reader_cost: 0.00019, ips: 1.6535 samples/sec | ETA 45:47:52 2021-08-21 21:06:11 [INFO] [TRAIN] epoch: 64, iter: 23700/160000, loss: 0.0918, lr: 0.000051, batch_cost: 1.2189, reader_cost: 0.00020, ips: 1.6409 samples/sec | ETA 46:08:49 2021-08-21 21:06:23 [INFO] [TRAIN] epoch: 64, iter: 23710/160000, loss: 0.0959, lr: 0.000051, batch_cost: 1.2049, reader_cost: 0.00020, ips: 1.6599 samples/sec | ETA 45:36:50 2021-08-21 21:06:35 [INFO] [TRAIN] epoch: 64, iter: 23720/160000, loss: 0.1114, lr: 0.000051, batch_cost: 1.2024, reader_cost: 0.00019, ips: 1.6634 samples/sec | ETA 45:30:59 2021-08-21 21:06:47 [INFO] [TRAIN] epoch: 64, iter: 23730/160000, loss: 0.0951, lr: 0.000051, batch_cost: 1.2099, reader_cost: 0.00020, ips: 1.6530 samples/sec | ETA 45:47:54 2021-08-21 21:06:59 [INFO] [TRAIN] epoch: 64, iter: 23740/160000, loss: 0.0815, lr: 0.000051, batch_cost: 1.2023, reader_cost: 0.00020, ips: 1.6635 samples/sec | ETA 45:30:22 2021-08-21 21:07:11 [INFO] [TRAIN] epoch: 64, iter: 23750/160000, loss: 0.0835, lr: 0.000051, batch_cost: 1.2016, reader_cost: 0.00018, ips: 1.6645 samples/sec | ETA 45:28:36 2021-08-21 21:07:23 [INFO] [TRAIN] epoch: 64, iter: 23760/160000, loss: 0.1174, lr: 0.000051, batch_cost: 1.2032, reader_cost: 0.00019, ips: 1.6623 samples/sec | ETA 45:31:59 2021-08-21 21:07:35 [INFO] [TRAIN] epoch: 64, iter: 23770/160000, loss: 0.1107, lr: 0.000051, batch_cost: 1.1978, reader_cost: 0.00017, ips: 1.6697 samples/sec | ETA 45:19:37 2021-08-21 21:07:47 [INFO] [TRAIN] epoch: 64, iter: 23780/160000, loss: 0.0856, lr: 0.000051, batch_cost: 1.1826, reader_cost: 0.00016, ips: 1.6912 samples/sec | ETA 44:44:54 2021-08-21 21:07:59 [INFO] [TRAIN] epoch: 64, iter: 23790/160000, loss: 0.1004, lr: 0.000051, batch_cost: 1.1892, reader_cost: 0.00016, ips: 1.6818 samples/sec | ETA 44:59:40 2021-08-21 21:08:11 [INFO] [TRAIN] epoch: 64, iter: 23800/160000, loss: 0.0734, lr: 0.000051, batch_cost: 1.1810, reader_cost: 0.00015, ips: 1.6935 samples/sec | ETA 44:40:45 2021-08-21 21:08:25 [INFO] [TRAIN] epoch: 65, iter: 23810/160000, loss: 0.0916, lr: 0.000051, batch_cost: 1.3793, reader_cost: 0.16050, ips: 1.4501 samples/sec | ETA 52:10:41 2021-08-21 21:08:37 [INFO] [TRAIN] epoch: 65, iter: 23820/160000, loss: 0.0938, lr: 0.000051, batch_cost: 1.1946, reader_cost: 0.00067, ips: 1.6742 samples/sec | ETA 45:11:16 2021-08-21 21:08:49 [INFO] [TRAIN] epoch: 65, iter: 23830/160000, loss: 0.2359, lr: 0.000051, batch_cost: 1.1908, reader_cost: 0.00016, ips: 1.6796 samples/sec | ETA 45:02:27 2021-08-21 21:09:00 [INFO] [TRAIN] epoch: 65, iter: 23840/160000, loss: 0.0955, lr: 0.000051, batch_cost: 1.1912, reader_cost: 0.00018, ips: 1.6789 samples/sec | ETA 45:03:18 2021-08-21 21:09:12 [INFO] [TRAIN] epoch: 65, iter: 23850/160000, loss: 0.0974, lr: 0.000051, batch_cost: 1.1954, reader_cost: 0.00018, ips: 1.6730 samples/sec | ETA 45:12:38 2021-08-21 21:09:24 [INFO] [TRAIN] epoch: 65, iter: 23860/160000, loss: 0.1902, lr: 0.000051, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 45:10:57 2021-08-21 21:09:36 [INFO] [TRAIN] epoch: 65, iter: 23870/160000, loss: 0.0959, lr: 0.000051, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6775 samples/sec | ETA 45:04:57 2021-08-21 21:09:48 [INFO] [TRAIN] epoch: 65, iter: 23880/160000, loss: 0.0998, lr: 0.000051, batch_cost: 1.1888, reader_cost: 0.00018, ips: 1.6824 samples/sec | ETA 44:57:00 2021-08-21 21:10:00 [INFO] [TRAIN] epoch: 65, iter: 23890/160000, loss: 0.1051, lr: 0.000051, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6782 samples/sec | ETA 45:03:30 2021-08-21 21:10:12 [INFO] [TRAIN] epoch: 65, iter: 23900/160000, loss: 0.0926, lr: 0.000051, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 45:00:28 2021-08-21 21:10:24 [INFO] [TRAIN] epoch: 65, iter: 23910/160000, loss: 0.0726, lr: 0.000051, batch_cost: 1.1867, reader_cost: 0.00017, ips: 1.6853 samples/sec | ETA 44:51:40 2021-08-21 21:10:36 [INFO] [TRAIN] epoch: 65, iter: 23920/160000, loss: 0.0921, lr: 0.000051, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6794 samples/sec | ETA 45:00:57 2021-08-21 21:10:48 [INFO] [TRAIN] epoch: 65, iter: 23930/160000, loss: 0.0830, lr: 0.000051, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 45:04:58 2021-08-21 21:11:00 [INFO] [TRAIN] epoch: 65, iter: 23940/160000, loss: 0.0984, lr: 0.000051, batch_cost: 1.1918, reader_cost: 0.00016, ips: 1.6781 samples/sec | ETA 45:02:34 2021-08-21 21:11:12 [INFO] [TRAIN] epoch: 65, iter: 23950/160000, loss: 0.0928, lr: 0.000051, batch_cost: 1.1898, reader_cost: 0.00016, ips: 1.6809 samples/sec | ETA 44:57:53 2021-08-21 21:11:23 [INFO] [TRAIN] epoch: 65, iter: 23960/160000, loss: 0.1032, lr: 0.000051, batch_cost: 1.1865, reader_cost: 0.00016, ips: 1.6856 samples/sec | ETA 44:50:15 2021-08-21 21:11:35 [INFO] [TRAIN] epoch: 65, iter: 23970/160000, loss: 0.1089, lr: 0.000051, batch_cost: 1.1836, reader_cost: 0.00016, ips: 1.6898 samples/sec | ETA 44:43:20 2021-08-21 21:11:47 [INFO] [TRAIN] epoch: 65, iter: 23980/160000, loss: 0.0940, lr: 0.000051, batch_cost: 1.1829, reader_cost: 0.00017, ips: 1.6907 samples/sec | ETA 44:41:41 2021-08-21 21:11:59 [INFO] [TRAIN] epoch: 65, iter: 23990/160000, loss: 0.0698, lr: 0.000051, batch_cost: 1.1959, reader_cost: 0.00016, ips: 1.6724 samples/sec | ETA 45:10:53 2021-08-21 21:12:11 [INFO] [TRAIN] epoch: 65, iter: 24000/160000, loss: 0.1072, lr: 0.000051, batch_cost: 1.1958, reader_cost: 0.00016, ips: 1.6726 samples/sec | ETA 45:10:24 2021-08-21 21:12:11 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:47 - batch_cost: 2.3166 - reader cost: 0.3748 2/125 [..............................] - ETA: 4:19 - batch_cost: 2.1124 - reader cost: 0.1875 3/125 [..............................] - ETA: 4:07 - batch_cost: 2.0296 - reader cost: 0.1250 4/125 [..............................] - ETA: 4:00 - batch_cost: 1.9851 - reader cost: 0.0938 5/125 [>.............................] - ETA: 3:55 - batch_cost: 1.9606 - reader cost: 0.0751 6/125 [>.............................] - ETA: 3:51 - batch_cost: 1.9415 - reader cost: 0.0626 7/125 [>.............................] - ETA: 3:47 - batch_cost: 1.9309 - reader cost: 0.0537 8/125 [>.............................] - ETA: 3:44 - batch_cost: 1.9213 - reader cost: 0.0470 9/125 [=>............................] - ETA: 3:42 - batch_cost: 1.9146 - reader cost: 0.0418 10/125 [=>............................] - ETA: 3:39 - batch_cost: 1.9098 - reader cost: 0.0376 11/125 [=>............................] - ETA: 3:37 - batch_cost: 1.9068 - reader cost: 0.0342 12/125 [=>............................] - ETA: 3:35 - batch_cost: 1.9043 - reader cost: 0.0314 13/125 [==>...........................] - ETA: 3:32 - batch_cost: 1.9011 - reader cost: 0.0290 14/125 [==>...........................] - ETA: 3:30 - batch_cost: 1.8988 - reader cost: 0.0269 15/125 [==>...........................] - ETA: 3:28 - batch_cost: 1.8964 - reader cost: 0.0251 16/125 [==>...........................] - ETA: 3:26 - batch_cost: 1.8935 - reader cost: 0.0236 17/125 [===>..........................] - ETA: 3:24 - batch_cost: 1.8923 - reader cost: 0.0222 18/125 [===>..........................] - ETA: 3:22 - batch_cost: 1.8914 - reader cost: 0.0210 19/125 [===>..........................] - ETA: 3:20 - batch_cost: 1.8898 - reader cost: 0.0199 20/125 [===>..........................] - ETA: 3:18 - batch_cost: 1.8887 - reader cost: 0.0189 21/125 [====>.........................] - ETA: 3:16 - batch_cost: 1.8872 - reader cost: 0.0180 22/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.8876 - reader cost: 0.0172 23/125 [====>.........................] - ETA: 3:12 - batch_cost: 1.8881 - reader cost: 0.0165 24/125 [====>.........................] - ETA: 3:10 - batch_cost: 1.8889 - reader cost: 0.0158 25/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.8890 - reader cost: 0.0152 26/125 [=====>........................] - ETA: 3:07 - batch_cost: 1.8891 - reader cost: 0.0146 27/125 [=====>........................] - ETA: 3:05 - batch_cost: 1.8893 - reader cost: 0.0140 28/125 [=====>........................] - ETA: 3:03 - batch_cost: 1.8884 - reader cost: 0.0135 29/125 [=====>........................] - ETA: 3:01 - batch_cost: 1.8884 - reader cost: 0.0131 30/125 [======>.......................] - ETA: 2:59 - batch_cost: 1.8882 - reader cost: 0.0127 31/125 [======>.......................] - ETA: 2:57 - batch_cost: 1.8877 - reader cost: 0.0123 32/125 [======>.......................] - ETA: 2:55 - batch_cost: 1.8883 - reader cost: 0.0119 33/125 [======>.......................] - ETA: 2:53 - batch_cost: 1.8889 - reader cost: 0.0115 34/125 [=======>......................] - ETA: 2:51 - batch_cost: 1.8890 - reader cost: 0.0112 35/125 [=======>......................] - ETA: 2:49 - batch_cost: 1.8882 - reader cost: 0.0109 36/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8879 - reader cost: 0.0106 37/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8882 - reader cost: 0.0103 38/125 [========>.....................] - ETA: 2:44 - batch_cost: 1.8873 - reader cost: 0.0100 39/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8872 - reader cost: 0.0098 40/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8870 - reader cost: 0.0095 41/125 [========>.....................] - ETA: 2:38 - batch_cost: 1.8866 - reader cost: 0.0093 42/125 [=========>....................] - ETA: 2:36 - batch_cost: 1.8862 - reader cost: 0.0091 43/125 [=========>....................] - ETA: 2:34 - batch_cost: 1.8864 - reader cost: 0.0089 44/125 [=========>....................] - ETA: 2:32 - batch_cost: 1.8859 - reader cost: 0.0087 45/125 [=========>....................] - ETA: 2:30 - batch_cost: 1.8859 - reader cost: 0.0085 46/125 [==========>...................] - ETA: 2:29 - batch_cost: 1.8860 - reader cost: 0.0083 47/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8858 - reader cost: 0.0081 48/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8859 - reader cost: 0.0080 49/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8856 - reader cost: 0.0078 50/125 [===========>..................] - ETA: 2:21 - batch_cost: 1.8853 - reader cost: 0.0077 51/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.8855 - reader cost: 0.0075 52/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.8854 - reader cost: 0.0074 53/125 [===========>..................] - ETA: 2:15 - batch_cost: 1.8846 - reader cost: 0.0072 54/125 [===========>..................] - ETA: 2:13 - batch_cost: 1.8839 - reader cost: 0.0071 55/125 [============>.................] - ETA: 2:11 - batch_cost: 1.8846 - reader cost: 0.0070 56/125 [============>.................] - ETA: 2:10 - batch_cost: 1.8844 - reader cost: 0.0069 57/125 [============>.................] - ETA: 2:08 - batch_cost: 1.8841 - reader cost: 0.0067 58/125 [============>.................] - ETA: 2:06 - batch_cost: 1.8840 - reader cost: 0.0066 59/125 [=============>................] - ETA: 2:04 - batch_cost: 1.8835 - reader cost: 0.0065 60/125 [=============>................] - ETA: 2:02 - batch_cost: 1.8832 - reader cost: 0.0064 61/125 [=============>................] - ETA: 2:00 - batch_cost: 1.8836 - reader cost: 0.0063 62/125 [=============>................] - ETA: 1:58 - batch_cost: 1.8837 - reader cost: 0.0062 63/125 [==============>...............] - ETA: 1:56 - batch_cost: 1.8833 - reader cost: 0.0061 64/125 [==============>...............] - ETA: 1:54 - batch_cost: 1.8831 - reader cost: 0.0060 65/125 [==============>...............] - ETA: 1:52 - batch_cost: 1.8829 - reader cost: 0.0059 66/125 [==============>...............] - ETA: 1:51 - batch_cost: 1.8827 - reader cost: 0.0058 67/125 [===============>..............] - ETA: 1:49 - batch_cost: 1.8826 - reader cost: 0.0058 68/125 [===============>..............] - ETA: 1:47 - 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[=======================>......] - ETA: 46s - batch_cost: 1.8780 - reader cost: 0.0039 101/125 [=======================>......] - ETA: 45s - batch_cost: 1.8782 - reader cost: 0.0039 102/125 [=======================>......] - ETA: 43s - batch_cost: 1.8780 - reader cost: 0.0038 103/125 [=======================>......] - ETA: 41s - batch_cost: 1.8780 - reader cost: 0.0038 104/125 [=======================>......] - ETA: 39s - batch_cost: 1.8781 - reader cost: 0.0038 105/125 [========================>.....] - ETA: 37s - batch_cost: 1.8783 - reader cost: 0.0037 106/125 [========================>.....] - ETA: 35s - batch_cost: 1.8784 - reader cost: 0.0037 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8784 - reader cost: 0.0037 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8786 - reader cost: 0.0036 109/125 [=========================>....] - ETA: 30s - batch_cost: 1.8786 - reader cost: 0.0036 110/125 [=========================>....] - ETA: 28s - 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[============================>.] - ETA: 7s - batch_cost: 1.8791 - reader cost: 0.0033 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8790 - reader cost: 0.0032 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8790 - reader cost: 0.0032 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8789 - reader cost: 0.0032 125/125 [==============================] - 235s 2s/step - batch_cost: 1.8788 - reader cost: 0.0032 2021-08-21 21:16:06 [INFO] [EVAL] #Images: 500 mIoU: 0.7954 Acc: 0.9630 Kappa: 0.9520 2021-08-21 21:16:06 [INFO] [EVAL] Class IoU: [0.9829 0.858 0.9284 0.6042 0.6302 0.6596 0.722 0.7911 0.9277 0.6609 0.9497 0.825 0.6283 0.9518 0.8423 0.8979 0.805 0.6696 0.778 ] 2021-08-21 21:16:06 [INFO] [EVAL] Class Acc: [0.9932 0.9147 0.9628 0.874 0.8324 0.7983 0.8206 0.8951 0.9568 0.8723 0.9629 0.881 0.7414 0.9681 0.9331 0.936 0.8921 0.8145 0.8738] 2021-08-21 21:16:08 [INFO] [EVAL] The model with the best validation mIoU (0.8004) was saved at iter 20000. 2021-08-21 21:16:20 [INFO] [TRAIN] epoch: 65, iter: 24010/160000, loss: 0.1018, lr: 0.000051, batch_cost: 1.1832, reader_cost: 0.00052, ips: 1.6904 samples/sec | ETA 44:41:40 2021-08-21 21:16:32 [INFO] [TRAIN] epoch: 65, iter: 24020/160000, loss: 0.0841, lr: 0.000051, batch_cost: 1.1972, reader_cost: 0.00017, ips: 1.6706 samples/sec | ETA 45:13:15 2021-08-21 21:16:44 [INFO] [TRAIN] epoch: 65, iter: 24030/160000, loss: 0.0701, lr: 0.000051, batch_cost: 1.1957, reader_cost: 0.00017, ips: 1.6726 samples/sec | ETA 45:09:41 2021-08-21 21:16:56 [INFO] [TRAIN] epoch: 65, iter: 24040/160000, loss: 0.1031, lr: 0.000051, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6839 samples/sec | ETA 44:51:23 2021-08-21 21:17:08 [INFO] [TRAIN] epoch: 65, iter: 24050/160000, loss: 0.0965, lr: 0.000051, batch_cost: 1.1932, reader_cost: 0.00017, ips: 1.6762 samples/sec | ETA 45:03:32 2021-08-21 21:17:20 [INFO] [TRAIN] epoch: 65, iter: 24060/160000, loss: 0.1016, lr: 0.000051, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6731 samples/sec | ETA 45:08:16 2021-08-21 21:17:32 [INFO] [TRAIN] epoch: 65, iter: 24070/160000, loss: 0.1070, lr: 0.000051, batch_cost: 1.1869, reader_cost: 0.00017, ips: 1.6851 samples/sec | ETA 44:48:51 2021-08-21 21:17:44 [INFO] [TRAIN] epoch: 65, iter: 24080/160000, loss: 0.0832, lr: 0.000051, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6730 samples/sec | ETA 45:08:07 2021-08-21 21:17:56 [INFO] [TRAIN] epoch: 65, iter: 24090/160000, loss: 0.0961, lr: 0.000051, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 44:52:08 2021-08-21 21:18:07 [INFO] [TRAIN] epoch: 65, iter: 24100/160000, loss: 0.1207, lr: 0.000051, batch_cost: 1.1844, reader_cost: 0.00017, ips: 1.6887 samples/sec | ETA 44:42:33 2021-08-21 21:18:19 [INFO] [TRAIN] epoch: 65, iter: 24110/160000, loss: 0.0956, lr: 0.000051, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 45:09:27 2021-08-21 21:18:31 [INFO] [TRAIN] epoch: 65, iter: 24120/160000, loss: 0.0851, lr: 0.000051, batch_cost: 1.1928, reader_cost: 0.00018, ips: 1.6767 samples/sec | ETA 45:01:19 2021-08-21 21:18:43 [INFO] [TRAIN] epoch: 65, iter: 24130/160000, loss: 0.0941, lr: 0.000051, batch_cost: 1.1862, reader_cost: 0.00016, ips: 1.6861 samples/sec | ETA 44:46:03 2021-08-21 21:18:55 [INFO] [TRAIN] epoch: 65, iter: 24140/160000, loss: 0.0772, lr: 0.000051, batch_cost: 1.1886, reader_cost: 0.00016, ips: 1.6826 samples/sec | ETA 44:51:24 2021-08-21 21:19:07 [INFO] [TRAIN] epoch: 65, iter: 24150/160000, loss: 0.0853, lr: 0.000051, batch_cost: 1.1862, reader_cost: 0.00016, ips: 1.6860 samples/sec | ETA 44:45:46 2021-08-21 21:19:19 [INFO] [TRAIN] epoch: 65, iter: 24160/160000, loss: 0.1022, lr: 0.000051, batch_cost: 1.1855, reader_cost: 0.00016, ips: 1.6870 samples/sec | ETA 44:44:04 2021-08-21 21:19:31 [INFO] [TRAIN] epoch: 65, iter: 24170/160000, loss: 0.1022, lr: 0.000051, batch_cost: 1.1873, reader_cost: 0.00016, ips: 1.6845 samples/sec | ETA 44:47:46 2021-08-21 21:19:42 [INFO] [TRAIN] epoch: 65, iter: 24180/160000, loss: 0.0969, lr: 0.000051, batch_cost: 1.1659, reader_cost: 0.00012, ips: 1.7154 samples/sec | ETA 43:59:16 2021-08-21 21:19:56 [INFO] [TRAIN] epoch: 66, iter: 24190/160000, loss: 0.0894, lr: 0.000051, batch_cost: 1.4049, reader_cost: 0.18988, ips: 1.4236 samples/sec | ETA 53:00:02 2021-08-21 21:20:08 [INFO] [TRAIN] epoch: 66, iter: 24200/160000, loss: 0.1013, lr: 0.000051, batch_cost: 1.1955, reader_cost: 0.00067, ips: 1.6730 samples/sec | ETA 45:05:46 2021-08-21 21:20:20 [INFO] [TRAIN] epoch: 66, iter: 24210/160000, loss: 0.0724, lr: 0.000051, batch_cost: 1.1933, reader_cost: 0.00017, ips: 1.6761 samples/sec | ETA 45:00:33 2021-08-21 21:20:32 [INFO] [TRAIN] epoch: 66, iter: 24220/160000, loss: 0.0782, lr: 0.000051, batch_cost: 1.1958, reader_cost: 0.00017, ips: 1.6725 samples/sec | ETA 45:06:04 2021-08-21 21:20:44 [INFO] [TRAIN] epoch: 66, iter: 24230/160000, loss: 0.1033, lr: 0.000051, batch_cost: 1.1886, reader_cost: 0.00018, ips: 1.6826 samples/sec | ETA 44:49:38 2021-08-21 21:20:56 [INFO] [TRAIN] epoch: 66, iter: 24240/160000, loss: 0.0872, lr: 0.000051, batch_cost: 1.1952, reader_cost: 0.00017, ips: 1.6734 samples/sec | ETA 45:04:17 2021-08-21 21:21:08 [INFO] [TRAIN] epoch: 66, iter: 24250/160000, loss: 0.1065, lr: 0.000051, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6771 samples/sec | ETA 44:58:06 2021-08-21 21:21:20 [INFO] [TRAIN] epoch: 66, iter: 24260/160000, loss: 0.0854, lr: 0.000051, batch_cost: 1.1955, reader_cost: 0.00016, ips: 1.6730 samples/sec | ETA 45:04:31 2021-08-21 21:21:32 [INFO] [TRAIN] epoch: 66, iter: 24270/160000, loss: 0.0743, lr: 0.000051, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6776 samples/sec | ETA 44:56:58 2021-08-21 21:21:44 [INFO] [TRAIN] epoch: 66, iter: 24280/160000, loss: 0.0928, lr: 0.000051, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6767 samples/sec | ETA 44:58:04 2021-08-21 21:21:56 [INFO] [TRAIN] epoch: 66, iter: 24290/160000, loss: 0.0949, lr: 0.000051, batch_cost: 1.1880, reader_cost: 0.00017, ips: 1.6835 samples/sec | ETA 44:47:00 2021-08-21 21:22:07 [INFO] [TRAIN] epoch: 66, iter: 24300/160000, loss: 0.0913, lr: 0.000051, batch_cost: 1.1856, reader_cost: 0.00017, ips: 1.6869 samples/sec | ETA 44:41:24 2021-08-21 21:22:19 [INFO] [TRAIN] epoch: 66, iter: 24310/160000, loss: 0.0816, lr: 0.000051, batch_cost: 1.2007, reader_cost: 0.00017, ips: 1.6657 samples/sec | ETA 45:15:25 2021-08-21 21:22:31 [INFO] [TRAIN] epoch: 66, iter: 24320/160000, loss: 0.0845, lr: 0.000051, batch_cost: 1.1882, reader_cost: 0.00016, ips: 1.6833 samples/sec | ETA 44:46:50 2021-08-21 21:22:43 [INFO] [TRAIN] epoch: 66, iter: 24330/160000, loss: 0.0763, lr: 0.000051, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 44:55:11 2021-08-21 21:22:55 [INFO] [TRAIN] epoch: 66, iter: 24340/160000, loss: 0.1051, lr: 0.000051, batch_cost: 1.2001, reader_cost: 0.00018, ips: 1.6665 samples/sec | ETA 45:13:24 2021-08-21 21:23:07 [INFO] [TRAIN] epoch: 66, iter: 24350/160000, loss: 0.0806, lr: 0.000051, batch_cost: 1.2012, reader_cost: 0.00017, ips: 1.6650 samples/sec | ETA 45:15:38 2021-08-21 21:23:19 [INFO] [TRAIN] epoch: 66, iter: 24360/160000, loss: 0.0783, lr: 0.000051, batch_cost: 1.1944, reader_cost: 0.00018, ips: 1.6745 samples/sec | ETA 45:00:06 2021-08-21 21:23:31 [INFO] [TRAIN] epoch: 66, iter: 24370/160000, loss: 0.0832, lr: 0.000051, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 44:54:21 2021-08-21 21:23:43 [INFO] [TRAIN] epoch: 66, iter: 24380/160000, loss: 0.1132, lr: 0.000051, batch_cost: 1.1985, reader_cost: 0.00016, ips: 1.6688 samples/sec | ETA 45:09:00 2021-08-21 21:23:55 [INFO] [TRAIN] epoch: 66, iter: 24390/160000, loss: 0.0879, lr: 0.000051, batch_cost: 1.1985, reader_cost: 0.00016, ips: 1.6687 samples/sec | ETA 45:08:49 2021-08-21 21:24:07 [INFO] [TRAIN] epoch: 66, iter: 24400/160000, loss: 0.0757, lr: 0.000051, batch_cost: 1.1834, reader_cost: 0.00016, ips: 1.6901 samples/sec | ETA 44:34:22 2021-08-21 21:24:19 [INFO] [TRAIN] epoch: 66, iter: 24410/160000, loss: 0.0919, lr: 0.000051, batch_cost: 1.1925, reader_cost: 0.00016, ips: 1.6772 samples/sec | ETA 44:54:47 2021-08-21 21:24:31 [INFO] [TRAIN] epoch: 66, iter: 24420/160000, loss: 0.0879, lr: 0.000051, batch_cost: 1.2013, reader_cost: 0.00016, ips: 1.6648 samples/sec | ETA 45:14:36 2021-08-21 21:24:43 [INFO] [TRAIN] epoch: 66, iter: 24430/160000, loss: 0.0703, lr: 0.000051, batch_cost: 1.1845, reader_cost: 0.00018, ips: 1.6884 samples/sec | ETA 44:36:25 2021-08-21 21:24:55 [INFO] [TRAIN] epoch: 66, iter: 24440/160000, loss: 0.0896, lr: 0.000051, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 44:55:06 2021-08-21 21:25:07 [INFO] [TRAIN] epoch: 66, iter: 24450/160000, loss: 0.0967, lr: 0.000051, batch_cost: 1.1861, reader_cost: 0.00017, ips: 1.6863 samples/sec | ETA 44:39:29 2021-08-21 21:25:19 [INFO] [TRAIN] epoch: 66, iter: 24460/160000, loss: 0.1169, lr: 0.000051, batch_cost: 1.2017, reader_cost: 0.00018, ips: 1.6643 samples/sec | ETA 45:14:39 2021-08-21 21:25:30 [INFO] [TRAIN] epoch: 66, iter: 24470/160000, loss: 0.0824, lr: 0.000051, batch_cost: 1.1918, reader_cost: 0.00016, ips: 1.6781 samples/sec | ETA 44:52:07 2021-08-21 21:25:42 [INFO] [TRAIN] epoch: 66, iter: 24480/160000, loss: 0.0882, lr: 0.000051, batch_cost: 1.1848, reader_cost: 0.00017, ips: 1.6880 samples/sec | ETA 44:36:06 2021-08-21 21:25:54 [INFO] [TRAIN] epoch: 66, iter: 24490/160000, loss: 0.0914, lr: 0.000051, batch_cost: 1.1875, reader_cost: 0.00017, ips: 1.6842 samples/sec | ETA 44:41:54 2021-08-21 21:26:06 [INFO] [TRAIN] epoch: 66, iter: 24500/160000, loss: 0.0717, lr: 0.000051, batch_cost: 1.1914, reader_cost: 0.00017, ips: 1.6787 samples/sec | ETA 44:50:34 2021-08-21 21:26:18 [INFO] [TRAIN] epoch: 66, iter: 24510/160000, loss: 0.1008, lr: 0.000051, batch_cost: 1.2020, reader_cost: 0.00017, ips: 1.6640 samples/sec | ETA 45:14:13 2021-08-21 21:26:30 [INFO] [TRAIN] epoch: 66, iter: 24520/160000, loss: 0.0816, lr: 0.000051, batch_cost: 1.2050, reader_cost: 0.00017, ips: 1.6598 samples/sec | ETA 45:20:46 2021-08-21 21:26:42 [INFO] [TRAIN] epoch: 66, iter: 24530/160000, loss: 0.0841, lr: 0.000051, batch_cost: 1.2050, reader_cost: 0.00017, ips: 1.6598 samples/sec | ETA 45:20:38 2021-08-21 21:26:54 [INFO] [TRAIN] epoch: 66, iter: 24540/160000, loss: 0.0972, lr: 0.000051, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 44:44:19 2021-08-21 21:27:06 [INFO] [TRAIN] epoch: 66, iter: 24550/160000, loss: 0.0825, lr: 0.000051, batch_cost: 1.1643, reader_cost: 0.00012, ips: 1.7177 samples/sec | ETA 43:48:30 2021-08-21 21:27:20 [INFO] [TRAIN] epoch: 67, iter: 24560/160000, loss: 0.0944, lr: 0.000051, batch_cost: 1.4038, reader_cost: 0.16805, ips: 1.4247 samples/sec | ETA 52:48:55 2021-08-21 21:27:32 [INFO] [TRAIN] epoch: 67, iter: 24570/160000, loss: 0.0946, lr: 0.000051, batch_cost: 1.1933, reader_cost: 0.00067, ips: 1.6760 samples/sec | ETA 44:53:26 2021-08-21 21:27:44 [INFO] [TRAIN] epoch: 67, iter: 24580/160000, loss: 0.0727, lr: 0.000051, batch_cost: 1.1934, reader_cost: 0.00017, ips: 1.6759 samples/sec | ETA 44:53:28 2021-08-21 21:27:56 [INFO] [TRAIN] epoch: 67, iter: 24590/160000, loss: 0.0918, lr: 0.000051, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6788 samples/sec | ETA 44:48:33 2021-08-21 21:28:08 [INFO] [TRAIN] epoch: 67, iter: 24600/160000, loss: 0.0945, lr: 0.000051, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 44:50:41 2021-08-21 21:28:19 [INFO] [TRAIN] epoch: 67, iter: 24610/160000, loss: 0.0867, lr: 0.000051, batch_cost: 1.1816, reader_cost: 0.00017, ips: 1.6926 samples/sec | ETA 44:26:14 2021-08-21 21:28:31 [INFO] [TRAIN] epoch: 67, iter: 24620/160000, loss: 0.0831, lr: 0.000051, batch_cost: 1.1868, reader_cost: 0.00018, ips: 1.6853 samples/sec | ETA 44:37:42 2021-08-21 21:28:43 [INFO] [TRAIN] epoch: 67, iter: 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2021-08-21 22:03:52 [INFO] [TRAIN] epoch: 71, iter: 26390/160000, loss: 0.0799, lr: 0.000050, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6765 samples/sec | ETA 44:16:35 2021-08-21 22:04:04 [INFO] [TRAIN] epoch: 71, iter: 26400/160000, loss: 0.0820, lr: 0.000050, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6775 samples/sec | ETA 44:14:42 2021-08-21 22:04:16 [INFO] [TRAIN] epoch: 71, iter: 26410/160000, loss: 0.0787, lr: 0.000050, batch_cost: 1.1656, reader_cost: 0.00012, ips: 1.7158 samples/sec | ETA 43:15:17 2021-08-21 22:04:30 [INFO] [TRAIN] epoch: 72, iter: 26420/160000, loss: 0.0898, lr: 0.000050, batch_cost: 1.3960, reader_cost: 0.15922, ips: 1.4327 samples/sec | ETA 51:47:57 2021-08-21 22:04:42 [INFO] [TRAIN] epoch: 72, iter: 26430/160000, loss: 0.0795, lr: 0.000050, batch_cost: 1.1825, reader_cost: 0.00066, ips: 1.6914 samples/sec | ETA 43:52:22 2021-08-21 22:04:54 [INFO] [TRAIN] epoch: 72, iter: 26440/160000, loss: 0.0843, lr: 0.000050, batch_cost: 1.1869, 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2021-08-21 22:07:17 [INFO] [TRAIN] epoch: 72, iter: 26560/160000, loss: 0.0803, lr: 0.000050, batch_cost: 1.1956, reader_cost: 0.00016, ips: 1.6728 samples/sec | ETA 44:19:01 2021-08-21 22:07:29 [INFO] [TRAIN] epoch: 72, iter: 26570/160000, loss: 0.0850, lr: 0.000050, batch_cost: 1.1935, reader_cost: 0.00017, ips: 1.6758 samples/sec | ETA 44:14:07 2021-08-21 22:07:41 [INFO] [TRAIN] epoch: 72, iter: 26580/160000, loss: 0.0989, lr: 0.000050, batch_cost: 1.1946, reader_cost: 0.00017, ips: 1.6742 samples/sec | ETA 44:16:23 2021-08-21 22:07:53 [INFO] [TRAIN] epoch: 72, iter: 26590/160000, loss: 0.0755, lr: 0.000050, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6781 samples/sec | ETA 44:10:01 2021-08-21 22:08:04 [INFO] [TRAIN] epoch: 72, iter: 26600/160000, loss: 0.1050, lr: 0.000050, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 44:07:56 2021-08-21 22:08:16 [INFO] [TRAIN] epoch: 72, iter: 26610/160000, loss: 0.0883, lr: 0.000050, batch_cost: 1.1960, 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reader_cost: 0.00020, ips: 1.6510 samples/sec | ETA 44:39:22 2021-08-21 22:22:03 [INFO] [TRAIN] epoch: 74, iter: 27300/160000, loss: 0.0943, lr: 0.000050, batch_cost: 1.2095, reader_cost: 0.00019, ips: 1.6536 samples/sec | ETA 44:35:00 2021-08-21 22:22:15 [INFO] [TRAIN] epoch: 74, iter: 27310/160000, loss: 0.0699, lr: 0.000050, batch_cost: 1.1921, reader_cost: 0.00016, ips: 1.6777 samples/sec | ETA 43:56:19 2021-08-21 22:22:27 [INFO] [TRAIN] epoch: 74, iter: 27320/160000, loss: 0.0980, lr: 0.000050, batch_cost: 1.1942, reader_cost: 0.00018, ips: 1.6748 samples/sec | ETA 44:00:40 2021-08-21 22:22:39 [INFO] [TRAIN] epoch: 74, iter: 27330/160000, loss: 0.0820, lr: 0.000050, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6698 samples/sec | ETA 44:08:22 2021-08-21 22:22:51 [INFO] [TRAIN] epoch: 74, iter: 27340/160000, loss: 0.0684, lr: 0.000050, batch_cost: 1.1957, reader_cost: 0.00018, ips: 1.6726 samples/sec | ETA 44:03:45 2021-08-21 22:23:03 [INFO] [TRAIN] epoch: 74, iter: 27350/160000, loss: 0.0828, lr: 0.000050, batch_cost: 1.1972, reader_cost: 0.00017, ips: 1.6706 samples/sec | ETA 44:06:42 2021-08-21 22:23:15 [INFO] [TRAIN] epoch: 74, iter: 27360/160000, loss: 0.0860, lr: 0.000050, batch_cost: 1.2000, reader_cost: 0.00016, ips: 1.6667 samples/sec | ETA 44:12:42 2021-08-21 22:23:27 [INFO] [TRAIN] epoch: 74, iter: 27370/160000, loss: 0.0937, lr: 0.000050, batch_cost: 1.1928, reader_cost: 0.00018, ips: 1.6768 samples/sec | ETA 43:56:38 2021-08-21 22:23:39 [INFO] [TRAIN] epoch: 74, iter: 27380/160000, loss: 0.0660, lr: 0.000050, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 43:57:13 2021-08-21 22:23:51 [INFO] [TRAIN] epoch: 74, iter: 27390/160000, loss: 0.0836, lr: 0.000050, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6723 samples/sec | ETA 44:03:14 2021-08-21 22:24:02 [INFO] [TRAIN] epoch: 74, iter: 27400/160000, loss: 0.0900, lr: 0.000050, batch_cost: 1.1843, reader_cost: 0.00017, ips: 1.6887 samples/sec | ETA 43:37:20 2021-08-21 22:24:14 [INFO] [TRAIN] epoch: 74, iter: 27410/160000, loss: 0.0700, lr: 0.000050, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6769 samples/sec | ETA 43:55:33 2021-08-21 22:24:26 [INFO] [TRAIN] epoch: 74, iter: 27420/160000, loss: 0.0868, lr: 0.000050, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 43:45:51 2021-08-21 22:24:38 [INFO] [TRAIN] epoch: 74, iter: 27430/160000, loss: 0.1181, lr: 0.000050, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 43:45:59 2021-08-21 22:24:50 [INFO] [TRAIN] epoch: 74, iter: 27440/160000, loss: 0.1052, lr: 0.000050, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6805 samples/sec | ETA 43:49:21 2021-08-21 22:25:02 [INFO] [TRAIN] epoch: 74, iter: 27450/160000, loss: 0.0856, lr: 0.000050, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 43:47:56 2021-08-21 22:25:14 [INFO] [TRAIN] epoch: 74, iter: 27460/160000, loss: 0.0750, lr: 0.000050, batch_cost: 1.1837, reader_cost: 0.00017, ips: 1.6895 samples/sec | ETA 43:34:54 2021-08-21 22:25:26 [INFO] [TRAIN] epoch: 74, iter: 27470/160000, loss: 0.0726, lr: 0.000050, batch_cost: 1.1865, reader_cost: 0.00017, ips: 1.6856 samples/sec | ETA 43:40:44 2021-08-21 22:25:38 [INFO] [TRAIN] epoch: 74, iter: 27480/160000, loss: 0.0966, lr: 0.000050, batch_cost: 1.1836, reader_cost: 0.00017, ips: 1.6897 samples/sec | ETA 43:34:12 2021-08-21 22:25:49 [INFO] [TRAIN] epoch: 74, iter: 27490/160000, loss: 0.0863, lr: 0.000050, batch_cost: 1.1836, reader_cost: 0.00017, ips: 1.6898 samples/sec | ETA 43:33:53 2021-08-21 22:26:01 [INFO] [TRAIN] epoch: 74, iter: 27500/160000, loss: 0.0876, lr: 0.000050, batch_cost: 1.2017, reader_cost: 0.00017, ips: 1.6642 samples/sec | ETA 44:13:51 2021-08-21 22:26:14 [INFO] [TRAIN] epoch: 74, iter: 27510/160000, loss: 0.0882, lr: 0.000050, batch_cost: 1.2151, reader_cost: 0.00019, ips: 1.6459 samples/sec | ETA 44:43:14 2021-08-21 22:26:25 [INFO] [TRAIN] epoch: 74, iter: 27520/160000, loss: 0.1055, lr: 0.000050, batch_cost: 1.1975, reader_cost: 0.00017, ips: 1.6702 samples/sec | ETA 44:03:59 2021-08-21 22:26:39 [INFO] [TRAIN] epoch: 75, iter: 27530/160000, loss: 0.0796, lr: 0.000050, batch_cost: 1.3885, reader_cost: 0.17704, ips: 1.4404 samples/sec | ETA 51:05:37 2021-08-21 22:26:51 [INFO] [TRAIN] epoch: 75, iter: 27540/160000, loss: 0.0912, lr: 0.000050, batch_cost: 1.1926, reader_cost: 0.00065, ips: 1.6770 samples/sec | ETA 43:52:55 2021-08-21 22:27:03 [INFO] [TRAIN] epoch: 75, iter: 27550/160000, loss: 0.0764, lr: 0.000050, batch_cost: 1.2032, reader_cost: 0.00018, ips: 1.6623 samples/sec | ETA 44:15:59 2021-08-21 22:27:15 [INFO] [TRAIN] epoch: 75, iter: 27560/160000, loss: 0.0886, lr: 0.000050, batch_cost: 1.1858, reader_cost: 0.00017, ips: 1.6867 samples/sec | ETA 43:37:22 2021-08-21 22:27:27 [INFO] [TRAIN] epoch: 75, iter: 27570/160000, loss: 0.1135, lr: 0.000050, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6816 samples/sec | ETA 43:45:07 2021-08-21 22:27:39 [INFO] [TRAIN] epoch: 75, iter: 27580/160000, loss: 0.0855, lr: 0.000050, batch_cost: 1.1864, reader_cost: 0.00017, ips: 1.6858 samples/sec | ETA 43:38:23 2021-08-21 22:27:51 [INFO] [TRAIN] epoch: 75, iter: 27590/160000, loss: 0.0704, lr: 0.000050, batch_cost: 1.1844, reader_cost: 0.00017, ips: 1.6886 samples/sec | ETA 43:33:52 2021-08-21 22:28:03 [INFO] [TRAIN] epoch: 75, iter: 27600/160000, loss: 0.0965, lr: 0.000050, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6807 samples/sec | ETA 43:45:48 2021-08-21 22:28:15 [INFO] [TRAIN] epoch: 75, iter: 27610/160000, loss: 0.0769, lr: 0.000050, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6778 samples/sec | ETA 43:50:16 2021-08-21 22:28:27 [INFO] [TRAIN] epoch: 75, iter: 27620/160000, loss: 0.1019, lr: 0.000050, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6780 samples/sec | ETA 43:49:38 2021-08-21 22:28:38 [INFO] [TRAIN] epoch: 75, iter: 27630/160000, loss: 0.0825, lr: 0.000050, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6817 samples/sec | ETA 43:43:42 2021-08-21 22:28:50 [INFO] [TRAIN] epoch: 75, iter: 27640/160000, loss: 0.0715, lr: 0.000050, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6743 samples/sec | ETA 43:55:07 2021-08-21 22:29:02 [INFO] [TRAIN] epoch: 75, iter: 27650/160000, loss: 0.0787, lr: 0.000050, batch_cost: 1.1864, reader_cost: 0.00017, ips: 1.6857 samples/sec | ETA 43:37:06 2021-08-21 22:29:14 [INFO] [TRAIN] epoch: 75, iter: 27660/160000, loss: 0.0805, lr: 0.000050, batch_cost: 1.1933, reader_cost: 0.00017, ips: 1.6760 samples/sec | ETA 43:52:06 2021-08-21 22:29:26 [INFO] [TRAIN] epoch: 75, iter: 27670/160000, loss: 0.1011, lr: 0.000050, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6803 samples/sec | ETA 43:45:09 2021-08-21 22:29:38 [INFO] [TRAIN] epoch: 75, iter: 27680/160000, loss: 0.1005, lr: 0.000050, batch_cost: 1.2062, reader_cost: 0.00018, ips: 1.6581 samples/sec | ETA 44:20:05 2021-08-21 22:29:50 [INFO] [TRAIN] epoch: 75, iter: 27690/160000, loss: 0.0823, lr: 0.000050, batch_cost: 1.2039, reader_cost: 0.00017, ips: 1.6613 samples/sec | ETA 44:14:42 2021-08-21 22:30:02 [INFO] [TRAIN] epoch: 75, iter: 27700/160000, loss: 0.0979, lr: 0.000050, batch_cost: 1.1987, reader_cost: 0.00017, ips: 1.6685 samples/sec | ETA 44:03:05 2021-08-21 22:30:14 [INFO] [TRAIN] epoch: 75, iter: 27710/160000, loss: 0.0999, lr: 0.000050, batch_cost: 1.2020, reader_cost: 0.00018, ips: 1.6638 samples/sec | ETA 44:10:17 2021-08-21 22:30:26 [INFO] [TRAIN] epoch: 75, iter: 27720/160000, loss: 0.0917, lr: 0.000050, batch_cost: 1.2064, reader_cost: 0.00017, ips: 1.6578 samples/sec | ETA 44:19:44 2021-08-21 22:30:38 [INFO] [TRAIN] epoch: 75, iter: 27730/160000, loss: 0.0668, lr: 0.000050, batch_cost: 1.1926, reader_cost: 0.00017, ips: 1.6769 samples/sec | ETA 43:49:10 2021-08-21 22:30:50 [INFO] [TRAIN] epoch: 75, iter: 27740/160000, loss: 0.0734, lr: 0.000050, batch_cost: 1.1966, reader_cost: 0.00016, ips: 1.6714 samples/sec | ETA 43:57:43 2021-08-21 22:31:02 [INFO] [TRAIN] epoch: 75, iter: 27750/160000, loss: 0.0848, lr: 0.000050, batch_cost: 1.1960, reader_cost: 0.00017, ips: 1.6722 samples/sec | ETA 43:56:10 2021-08-21 22:31:14 [INFO] [TRAIN] epoch: 75, iter: 27760/160000, loss: 0.0774, lr: 0.000050, batch_cost: 1.1923, reader_cost: 0.00018, ips: 1.6774 samples/sec | ETA 43:47:48 2021-08-21 22:31:26 [INFO] [TRAIN] epoch: 75, iter: 27770/160000, loss: 0.0853, lr: 0.000050, batch_cost: 1.1880, reader_cost: 0.00018, ips: 1.6835 samples/sec | ETA 43:38:13 2021-08-21 22:31:38 [INFO] [TRAIN] epoch: 75, iter: 27780/160000, loss: 0.0812, lr: 0.000050, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6699 samples/sec | ETA 43:59:20 2021-08-21 22:31:50 [INFO] [TRAIN] epoch: 75, iter: 27790/160000, loss: 0.0875, lr: 0.000050, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6802 samples/sec | ETA 43:42:51 2021-08-21 22:32:02 [INFO] [TRAIN] epoch: 75, iter: 27800/160000, loss: 0.1100, lr: 0.000050, batch_cost: 1.1932, reader_cost: 0.00018, ips: 1.6761 samples/sec | ETA 43:49:04 2021-08-21 22:32:14 [INFO] [TRAIN] epoch: 75, iter: 27810/160000, loss: 0.0703, lr: 0.000050, batch_cost: 1.1963, reader_cost: 0.00018, ips: 1.6718 samples/sec | ETA 43:55:44 2021-08-21 22:32:26 [INFO] [TRAIN] epoch: 75, iter: 27820/160000, loss: 0.0852, lr: 0.000050, batch_cost: 1.2094, reader_cost: 0.00017, ips: 1.6537 samples/sec | ETA 44:24:16 2021-08-21 22:32:38 [INFO] [TRAIN] epoch: 75, iter: 27830/160000, loss: 0.0931, lr: 0.000050, batch_cost: 1.2065, reader_cost: 0.00017, ips: 1.6576 samples/sec | ETA 44:17:48 2021-08-21 22:32:50 [INFO] [TRAIN] epoch: 75, iter: 27840/160000, loss: 0.0843, lr: 0.000050, batch_cost: 1.2037, reader_cost: 0.00016, ips: 1.6616 samples/sec | ETA 44:11:17 2021-08-21 22:33:02 [INFO] [TRAIN] epoch: 75, iter: 27850/160000, loss: 0.0811, lr: 0.000050, batch_cost: 1.2052, reader_cost: 0.00017, ips: 1.6595 samples/sec | ETA 44:14:23 2021-08-21 22:33:14 [INFO] [TRAIN] epoch: 75, iter: 27860/160000, loss: 0.0940, lr: 0.000050, batch_cost: 1.1918, reader_cost: 0.00018, ips: 1.6782 samples/sec | ETA 43:44:41 2021-08-21 22:33:26 [INFO] [TRAIN] epoch: 75, iter: 27870/160000, loss: 0.0860, lr: 0.000050, batch_cost: 1.1819, reader_cost: 0.00017, ips: 1.6922 samples/sec | ETA 43:22:46 2021-08-21 22:33:37 [INFO] [TRAIN] epoch: 75, iter: 27880/160000, loss: 0.0746, lr: 0.000050, batch_cost: 1.1811, reader_cost: 0.00017, ips: 1.6933 samples/sec | ETA 43:20:51 2021-08-21 22:33:49 [INFO] [TRAIN] epoch: 75, iter: 27890/160000, loss: 0.0863, lr: 0.000050, batch_cost: 1.1816, reader_cost: 0.00017, ips: 1.6926 samples/sec | ETA 43:21:45 2021-08-21 22:34:01 [INFO] [TRAIN] epoch: 75, iter: 27900/160000, loss: 0.0781, lr: 0.000050, batch_cost: 1.1674, reader_cost: 0.00012, ips: 1.7131 samples/sec | ETA 42:50:19 2021-08-21 22:34:15 [INFO] [TRAIN] epoch: 76, iter: 27910/160000, loss: 0.0998, lr: 0.000050, batch_cost: 1.4054, reader_cost: 0.16670, ips: 1.4231 samples/sec | ETA 51:33:54 2021-08-21 22:34:27 [INFO] [TRAIN] epoch: 76, iter: 27920/160000, loss: 0.1138, lr: 0.000050, batch_cost: 1.1882, reader_cost: 0.00066, ips: 1.6833 samples/sec | ETA 43:35:30 2021-08-21 22:34:39 [INFO] [TRAIN] epoch: 76, iter: 27930/160000, loss: 0.0821, lr: 0.000050, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6778 samples/sec | ETA 43:43:56 2021-08-21 22:34:51 [INFO] [TRAIN] epoch: 76, iter: 27940/160000, loss: 0.0855, lr: 0.000050, batch_cost: 1.2003, reader_cost: 0.00017, ips: 1.6663 samples/sec | ETA 44:01:45 2021-08-21 22:35:03 [INFO] [TRAIN] epoch: 76, iter: 27950/160000, loss: 0.0882, lr: 0.000050, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 43:45:24 2021-08-21 22:35:15 [INFO] [TRAIN] epoch: 76, iter: 27960/160000, loss: 0.1022, lr: 0.000050, batch_cost: 1.1940, reader_cost: 0.00016, ips: 1.6750 samples/sec | ETA 43:47:40 2021-08-21 22:35:27 [INFO] [TRAIN] epoch: 76, iter: 27970/160000, loss: 0.0740, lr: 0.000050, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6803 samples/sec | ETA 43:39:08 2021-08-21 22:35:39 [INFO] [TRAIN] epoch: 76, iter: 27980/160000, loss: 0.0610, lr: 0.000050, batch_cost: 1.1969, reader_cost: 0.00017, ips: 1.6710 samples/sec | ETA 43:53:29 2021-08-21 22:35:50 [INFO] [TRAIN] epoch: 76, iter: 27990/160000, loss: 0.0952, lr: 0.000050, batch_cost: 1.1842, reader_cost: 0.00017, ips: 1.6888 samples/sec | ETA 43:25:31 2021-08-21 22:36:02 [INFO] [TRAIN] epoch: 76, iter: 28000/160000, loss: 0.0853, lr: 0.000050, batch_cost: 1.1930, reader_cost: 0.00018, ips: 1.6765 samples/sec | ETA 43:44:33 2021-08-21 22:36:02 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:37 - batch_cost: 2.2414 - reader cost: 0.3553 2/125 [..............................] - ETA: 4:17 - batch_cost: 2.0918 - reader cost: 0.1778 3/125 [..............................] - ETA: 4:06 - batch_cost: 2.0169 - reader cost: 0.1186 4/125 [..............................] - ETA: 3:58 - batch_cost: 1.9736 - reader cost: 0.0890 5/125 [>.............................] - ETA: 3:54 - batch_cost: 1.9554 - reader cost: 0.0712 6/125 [>.............................] - ETA: 3:51 - batch_cost: 1.9432 - reader cost: 0.0594 7/125 [>.............................] - ETA: 3:48 - batch_cost: 1.9368 - reader cost: 0.0509 8/125 [>.............................] - ETA: 3:45 - batch_cost: 1.9269 - reader cost: 0.0446 9/125 [=>............................] - ETA: 3:43 - batch_cost: 1.9245 - reader cost: 0.0396 10/125 [=>............................] - ETA: 3:40 - batch_cost: 1.9187 - reader cost: 0.0357 11/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9154 - reader cost: 0.0325 12/125 [=>............................] - ETA: 3:35 - batch_cost: 1.9110 - reader cost: 0.0298 13/125 [==>...........................] - ETA: 3:33 - batch_cost: 1.9059 - reader cost: 0.0275 14/125 [==>...........................] - ETA: 3:31 - batch_cost: 1.9035 - reader cost: 0.0256 15/125 [==>...........................] - ETA: 3:28 - batch_cost: 1.8989 - reader cost: 0.0239 16/125 [==>...........................] - ETA: 3:26 - batch_cost: 1.8974 - reader cost: 0.0224 17/125 [===>..........................] - ETA: 3:24 - batch_cost: 1.8969 - reader cost: 0.0211 18/125 [===>..........................] - ETA: 3:23 - batch_cost: 1.8981 - reader cost: 0.0199 19/125 [===>..........................] - ETA: 3:20 - batch_cost: 1.8957 - reader cost: 0.0189 20/125 [===>..........................] - ETA: 3:19 - batch_cost: 1.8965 - reader cost: 0.0179 21/125 [====>.........................] - ETA: 3:17 - batch_cost: 1.8970 - reader cost: 0.0171 22/125 [====>.........................] - ETA: 3:15 - batch_cost: 1.8966 - reader cost: 0.0163 23/125 [====>.........................] - ETA: 3:13 - batch_cost: 1.8964 - reader cost: 0.0156 24/125 [====>.........................] - ETA: 3:11 - batch_cost: 1.8950 - reader cost: 0.0150 25/125 [=====>........................] - ETA: 3:09 - batch_cost: 1.8951 - reader cost: 0.0144 26/125 [=====>........................] - ETA: 3:07 - batch_cost: 1.8961 - reader cost: 0.0138 27/125 [=====>........................] - ETA: 3:05 - batch_cost: 1.8940 - reader cost: 0.0133 28/125 [=====>........................] - ETA: 3:03 - batch_cost: 1.8933 - reader cost: 0.0129 29/125 [=====>........................] - ETA: 3:01 - batch_cost: 1.8926 - reader cost: 0.0124 30/125 [======>.......................] - ETA: 2:59 - batch_cost: 1.8926 - reader cost: 0.0120 31/125 [======>.......................] - ETA: 2:57 - batch_cost: 1.8909 - reader cost: 0.0116 32/125 [======>.......................] - ETA: 2:55 - batch_cost: 1.8902 - reader cost: 0.0113 33/125 [======>.......................] - ETA: 2:53 - batch_cost: 1.8893 - reader cost: 0.0109 34/125 [=======>......................] - ETA: 2:51 - batch_cost: 1.8897 - reader cost: 0.0106 35/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8888 - reader cost: 0.0103 36/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8882 - reader cost: 0.0101 37/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8870 - reader cost: 0.0098 38/125 [========>.....................] - ETA: 2:44 - batch_cost: 1.8874 - reader cost: 0.0095 39/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8882 - reader cost: 0.0093 40/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8874 - reader cost: 0.0091 41/125 [========>.....................] - ETA: 2:38 - batch_cost: 1.8865 - reader cost: 0.0088 42/125 [=========>....................] - ETA: 2:36 - batch_cost: 1.8861 - reader cost: 0.0086 43/125 [=========>....................] - ETA: 2:34 - batch_cost: 1.8854 - reader cost: 0.0084 44/125 [=========>....................] - ETA: 2:32 - batch_cost: 1.8856 - reader cost: 0.0083 45/125 [=========>....................] - ETA: 2:30 - batch_cost: 1.8850 - reader cost: 0.0081 46/125 [==========>...................] - ETA: 2:28 - batch_cost: 1.8849 - reader cost: 0.0079 47/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8847 - reader cost: 0.0077 48/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8847 - reader cost: 0.0076 49/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8842 - reader cost: 0.0074 50/125 [===========>..................] - ETA: 2:21 - batch_cost: 1.8837 - reader cost: 0.0073 51/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.8835 - reader cost: 0.0072 52/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.8836 - reader cost: 0.0070 53/125 [===========>..................] - ETA: 2:15 - batch_cost: 1.8833 - reader cost: 0.0069 54/125 [===========>..................] - ETA: 2:13 - batch_cost: 1.8833 - reader cost: 0.0068 55/125 [============>.................] - ETA: 2:11 - batch_cost: 1.8832 - reader cost: 0.0066 56/125 [============>.................] - ETA: 2:09 - batch_cost: 1.8833 - reader cost: 0.0065 57/125 [============>.................] - ETA: 2:08 - batch_cost: 1.8834 - reader cost: 0.0064 58/125 [============>.................] - ETA: 2:06 - batch_cost: 1.8835 - reader cost: 0.0063 59/125 [=============>................] - ETA: 2:04 - batch_cost: 1.8832 - reader cost: 0.0062 60/125 [=============>................] - ETA: 2:02 - batch_cost: 1.8834 - reader cost: 0.0061 61/125 [=============>................] - ETA: 2:00 - batch_cost: 1.8835 - reader cost: 0.0060 62/125 [=============>................] - ETA: 1:58 - batch_cost: 1.8832 - reader cost: 0.0059 63/125 [==============>...............] - ETA: 1:56 - batch_cost: 1.8830 - reader cost: 0.0058 64/125 [==============>...............] - ETA: 1:54 - batch_cost: 1.8829 - reader cost: 0.0057 65/125 [==============>...............] - ETA: 1:52 - batch_cost: 1.8823 - reader cost: 0.0057 66/125 [==============>...............] - ETA: 1:51 - batch_cost: 1.8826 - reader cost: 0.0056 67/125 [===============>..............] - ETA: 1:49 - 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[=================>............] - ETA: 1:28 - batch_cost: 1.8818 - reader cost: 0.0047 79/125 [=================>............] - ETA: 1:26 - batch_cost: 1.8823 - reader cost: 0.0047 80/125 [==================>...........] - ETA: 1:24 - batch_cost: 1.8824 - reader cost: 0.0046 81/125 [==================>...........] - ETA: 1:22 - batch_cost: 1.8825 - reader cost: 0.0046 82/125 [==================>...........] - ETA: 1:20 - batch_cost: 1.8825 - reader cost: 0.0045 83/125 [==================>...........] - ETA: 1:19 - batch_cost: 1.8827 - reader cost: 0.0045 84/125 [===================>..........] - ETA: 1:17 - batch_cost: 1.8828 - reader cost: 0.0044 85/125 [===================>..........] - ETA: 1:15 - batch_cost: 1.8828 - reader cost: 0.0044 86/125 [===================>..........] - ETA: 1:13 - batch_cost: 1.8827 - reader cost: 0.0043 87/125 [===================>..........] - ETA: 1:11 - batch_cost: 1.8827 - reader cost: 0.0043 88/125 [====================>.........] - ETA: 1:09 - batch_cost: 1.8827 - reader cost: 0.0042 89/125 [====================>.........] - ETA: 1:07 - batch_cost: 1.8829 - reader cost: 0.0042 90/125 [====================>.........] - ETA: 1:05 - batch_cost: 1.8828 - reader cost: 0.0041 91/125 [====================>.........] - ETA: 1:04 - batch_cost: 1.8825 - reader cost: 0.0041 92/125 [=====================>........] - ETA: 1:02 - batch_cost: 1.8824 - reader cost: 0.0040 93/125 [=====================>........] - ETA: 1:00 - batch_cost: 1.8825 - reader cost: 0.0040 94/125 [=====================>........] - ETA: 58s - batch_cost: 1.8819 - reader cost: 0.0040  95/125 [=====================>........] - ETA: 56s - batch_cost: 1.8821 - reader cost: 0.0039 96/125 [======================>.......] - ETA: 54s - batch_cost: 1.8821 - reader cost: 0.0039 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8822 - reader cost: 0.0038 98/125 [======================>.......] - ETA: 50s - batch_cost: 1.8815 - reader cost: 0.0038 99/125 [======================>.......] - ETA: 48s - batch_cost: 1.8809 - reader cost: 0.0038 100/125 [=======================>......] - ETA: 47s - batch_cost: 1.8808 - reader cost: 0.0037 101/125 [=======================>......] - ETA: 45s - batch_cost: 1.8807 - reader cost: 0.0037 102/125 [=======================>......] - ETA: 43s - batch_cost: 1.8810 - reader cost: 0.0037 103/125 [=======================>......] - ETA: 41s - batch_cost: 1.8804 - reader cost: 0.0036 104/125 [=======================>......] - ETA: 39s - batch_cost: 1.8801 - reader cost: 0.0036 105/125 [========================>.....] - ETA: 37s - batch_cost: 1.8797 - reader cost: 0.0036 106/125 [========================>.....] - ETA: 35s - batch_cost: 1.8800 - reader cost: 0.0035 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8793 - reader cost: 0.0035 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8797 - reader cost: 0.0035 109/125 [=========================>....] - ETA: 30s - batch_cost: 1.8799 - reader cost: 0.0034 110/125 [=========================>....] - ETA: 28s - batch_cost: 1.8797 - reader cost: 0.0034 111/125 [=========================>....] - ETA: 26s - batch_cost: 1.8795 - reader cost: 0.0034 112/125 [=========================>....] - ETA: 24s - batch_cost: 1.8793 - reader cost: 0.0034 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8792 - reader cost: 0.0033 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8791 - reader cost: 0.0033 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8790 - reader cost: 0.0033 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8790 - reader cost: 0.0032 117/125 [===========================>..] - ETA: 15s - batch_cost: 1.8789 - reader cost: 0.0032 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8788 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8787 - reader cost: 0.0032 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8785 - reader cost: 0.0031  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8784 - reader cost: 0.0031 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8784 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8782 - reader cost: 0.0031 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8776 - reader cost: 0.0030 125/125 [==============================] - 235s 2s/step - batch_cost: 1.8771 - reader cost: 0.0030 2021-08-21 22:39:57 [INFO] [EVAL] #Images: 500 mIoU: 0.8031 Acc: 0.9642 Kappa: 0.9536 2021-08-21 22:39:57 [INFO] [EVAL] Class IoU: [0.9832 0.8624 0.9312 0.5782 0.6257 0.6719 0.7295 0.8125 0.9299 0.6869 0.9516 0.8307 0.6448 0.9554 0.8804 0.9017 0.8162 0.6863 0.7795] 2021-08-21 22:39:57 [INFO] [EVAL] Class Acc: [0.99 0.944 0.9633 0.8454 0.8221 0.8025 0.8262 0.9012 0.96 0.8286 0.9661 0.8951 0.7397 0.9742 0.9476 0.9531 0.8938 0.7981 0.8571] 2021-08-21 22:40:00 [INFO] [EVAL] The model with the best validation mIoU (0.8031) was saved at iter 28000. 2021-08-21 22:40:12 [INFO] [TRAIN] epoch: 76, iter: 28010/160000, loss: 0.0773, lr: 0.000049, batch_cost: 1.1873, reader_cost: 0.00102, ips: 1.6845 samples/sec | ETA 43:31:55 2021-08-21 22:40:24 [INFO] [TRAIN] epoch: 76, iter: 28020/160000, loss: 0.0817, lr: 0.000049, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 43:34:16 2021-08-21 22:40:36 [INFO] [TRAIN] epoch: 76, iter: 28030/160000, loss: 0.0854, lr: 0.000049, batch_cost: 1.1875, reader_cost: 0.00017, ips: 1.6842 samples/sec | ETA 43:31:55 2021-08-21 22:40:48 [INFO] [TRAIN] epoch: 76, iter: 28040/160000, loss: 0.0903, lr: 0.000049, batch_cost: 1.1861, reader_cost: 0.00017, ips: 1.6862 samples/sec | ETA 43:28:40 2021-08-21 22:41:00 [INFO] [TRAIN] epoch: 76, iter: 28050/160000, loss: 0.0820, lr: 0.000049, batch_cost: 1.1851, reader_cost: 0.00017, ips: 1.6876 samples/sec | ETA 43:26:17 2021-08-21 22:41:12 [INFO] [TRAIN] epoch: 76, iter: 28060/160000, loss: 0.1401, lr: 0.000049, batch_cost: 1.1799, reader_cost: 0.00017, ips: 1.6951 samples/sec | ETA 43:14:34 2021-08-21 22:41:23 [INFO] [TRAIN] epoch: 76, iter: 28070/160000, loss: 0.1283, lr: 0.000049, batch_cost: 1.1827, reader_cost: 0.00016, ips: 1.6911 samples/sec | ETA 43:20:30 2021-08-21 22:41:35 [INFO] [TRAIN] epoch: 76, iter: 28080/160000, loss: 0.0936, lr: 0.000049, batch_cost: 1.1958, reader_cost: 0.00017, ips: 1.6725 samples/sec | ETA 43:49:14 2021-08-21 22:41:47 [INFO] [TRAIN] epoch: 76, iter: 28090/160000, loss: 0.0820, lr: 0.000049, batch_cost: 1.1936, reader_cost: 0.00017, ips: 1.6756 samples/sec | ETA 43:44:05 2021-08-21 22:41:59 [INFO] [TRAIN] epoch: 76, iter: 28100/160000, loss: 0.0866, lr: 0.000049, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6815 samples/sec | ETA 43:34:45 2021-08-21 22:42:11 [INFO] [TRAIN] epoch: 76, iter: 28110/160000, loss: 0.0887, lr: 0.000049, batch_cost: 1.1986, reader_cost: 0.00018, ips: 1.6687 samples/sec | ETA 43:54:37 2021-08-21 22:42:23 [INFO] [TRAIN] epoch: 76, iter: 28120/160000, loss: 0.0963, lr: 0.000049, batch_cost: 1.1972, reader_cost: 0.00017, ips: 1.6705 samples/sec | ETA 43:51:28 2021-08-21 22:42:35 [INFO] [TRAIN] epoch: 76, iter: 28130/160000, loss: 0.0836, lr: 0.000049, batch_cost: 1.1914, reader_cost: 0.00017, ips: 1.6787 samples/sec | ETA 43:38:33 2021-08-21 22:42:47 [INFO] [TRAIN] epoch: 76, iter: 28140/160000, loss: 0.0951, lr: 0.000049, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6794 samples/sec | ETA 43:37:16 2021-08-21 22:42:59 [INFO] [TRAIN] epoch: 76, iter: 28150/160000, loss: 0.1182, lr: 0.000049, batch_cost: 1.2095, reader_cost: 0.00018, ips: 1.6536 samples/sec | ETA 44:17:50 2021-08-21 22:43:11 [INFO] [TRAIN] epoch: 76, iter: 28160/160000, loss: 0.0890, lr: 0.000049, batch_cost: 1.2076, reader_cost: 0.00017, ips: 1.6561 samples/sec | ETA 44:13:33 2021-08-21 22:43:23 [INFO] [TRAIN] epoch: 76, iter: 28170/160000, loss: 0.0915, lr: 0.000049, batch_cost: 1.1923, reader_cost: 0.00018, ips: 1.6774 samples/sec | ETA 43:39:45 2021-08-21 22:43:35 [INFO] [TRAIN] epoch: 76, iter: 28180/160000, loss: 0.0895, lr: 0.000049, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6806 samples/sec | ETA 43:34:32 2021-08-21 22:43:47 [INFO] [TRAIN] epoch: 76, iter: 28190/160000, loss: 0.0811, lr: 0.000049, batch_cost: 1.1933, reader_cost: 0.00017, ips: 1.6761 samples/sec | ETA 43:41:24 2021-08-21 22:43:59 [INFO] [TRAIN] epoch: 76, iter: 28200/160000, loss: 0.1071, lr: 0.000049, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6832 samples/sec | ETA 43:30:08 2021-08-21 22:44:11 [INFO] [TRAIN] epoch: 76, iter: 28210/160000, loss: 0.0920, lr: 0.000049, batch_cost: 1.1893, reader_cost: 0.00016, ips: 1.6816 samples/sec | ETA 43:32:23 2021-08-21 22:44:23 [INFO] [TRAIN] epoch: 76, iter: 28220/160000, loss: 0.0749, lr: 0.000049, batch_cost: 1.2037, reader_cost: 0.00018, ips: 1.6616 samples/sec | ETA 44:03:42 2021-08-21 22:44:35 [INFO] [TRAIN] epoch: 76, iter: 28230/160000, loss: 0.0990, lr: 0.000049, batch_cost: 1.1946, reader_cost: 0.00016, ips: 1.6742 samples/sec | ETA 43:43:33 2021-08-21 22:44:47 [INFO] [TRAIN] epoch: 76, iter: 28240/160000, loss: 0.0861, lr: 0.000049, batch_cost: 1.2024, reader_cost: 0.00016, ips: 1.6634 samples/sec | ETA 44:00:24 2021-08-21 22:44:59 [INFO] [TRAIN] epoch: 76, iter: 28250/160000, loss: 0.0851, lr: 0.000049, batch_cost: 1.2000, reader_cost: 0.00017, ips: 1.6666 samples/sec | ETA 43:55:04 2021-08-21 22:45:11 [INFO] [TRAIN] epoch: 76, iter: 28260/160000, loss: 0.0746, lr: 0.000049, batch_cost: 1.1978, reader_cost: 0.00018, ips: 1.6697 samples/sec | ETA 43:50:03 2021-08-21 22:45:22 [INFO] [TRAIN] epoch: 76, iter: 28270/160000, loss: 0.0806, lr: 0.000049, batch_cost: 1.1632, reader_cost: 0.00056, ips: 1.7195 samples/sec | ETA 42:33:42 2021-08-21 22:45:36 [INFO] [TRAIN] epoch: 77, iter: 28280/160000, loss: 0.1322, lr: 0.000049, batch_cost: 1.4089, reader_cost: 0.17995, ips: 1.4195 samples/sec | ETA 51:33:03 2021-08-21 22:45:48 [INFO] [TRAIN] epoch: 77, iter: 28290/160000, loss: 0.0922, lr: 0.000049, batch_cost: 1.1896, reader_cost: 0.00067, ips: 1.6812 samples/sec | ETA 43:31:27 2021-08-21 22:46:00 [INFO] [TRAIN] epoch: 77, iter: 28300/160000, loss: 0.0961, lr: 0.000049, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 43:34:08 2021-08-21 22:46:12 [INFO] [TRAIN] epoch: 77, iter: 28310/160000, loss: 0.0744, lr: 0.000049, batch_cost: 1.2074, reader_cost: 0.00018, ips: 1.6565 samples/sec | ETA 44:09:56 2021-08-21 22:46:24 [INFO] [TRAIN] epoch: 77, iter: 28320/160000, loss: 0.0875, lr: 0.000049, batch_cost: 1.2022, reader_cost: 0.00016, ips: 1.6637 samples/sec | ETA 43:58:19 2021-08-21 22:46:36 [INFO] [TRAIN] epoch: 77, iter: 28330/160000, loss: 0.0924, lr: 0.000049, batch_cost: 1.2011, reader_cost: 0.00016, ips: 1.6651 samples/sec | ETA 43:55:54 2021-08-21 22:46:48 [INFO] [TRAIN] epoch: 77, iter: 28340/160000, loss: 0.0849, lr: 0.000049, batch_cost: 1.2088, reader_cost: 0.00016, ips: 1.6545 samples/sec | ETA 44:12:34 2021-08-21 22:47:00 [INFO] [TRAIN] epoch: 77, iter: 28350/160000, loss: 0.0929, lr: 0.000049, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 43:33:49 2021-08-21 22:47:12 [INFO] [TRAIN] epoch: 77, iter: 28360/160000, loss: 0.0856, lr: 0.000049, batch_cost: 1.1883, reader_cost: 0.00016, ips: 1.6830 samples/sec | ETA 43:27:10 2021-08-21 22:47:24 [INFO] [TRAIN] epoch: 77, iter: 28370/160000, loss: 0.0816, lr: 0.000049, batch_cost: 1.1881, reader_cost: 0.00016, ips: 1.6833 samples/sec | ETA 43:26:31 2021-08-21 22:47:36 [INFO] [TRAIN] epoch: 77, iter: 28380/160000, loss: 0.0993, lr: 0.000049, batch_cost: 1.1958, reader_cost: 0.00016, ips: 1.6725 samples/sec | ETA 43:43:10 2021-08-21 22:47:48 [INFO] [TRAIN] epoch: 77, iter: 28390/160000, loss: 0.1039, lr: 0.000049, batch_cost: 1.1882, reader_cost: 0.00016, ips: 1.6832 samples/sec | ETA 43:26:19 2021-08-21 22:48:00 [INFO] [TRAIN] epoch: 77, iter: 28400/160000, loss: 0.0894, lr: 0.000049, batch_cost: 1.1934, reader_cost: 0.00018, ips: 1.6758 samples/sec | ETA 43:37:35 2021-08-21 22:48:12 [INFO] [TRAIN] epoch: 77, iter: 28410/160000, loss: 0.0805, lr: 0.000049, batch_cost: 1.1949, reader_cost: 0.00017, ips: 1.6738 samples/sec | ETA 43:40:39 2021-08-21 22:48:24 [INFO] [TRAIN] epoch: 77, iter: 28420/160000, loss: 0.0828, lr: 0.000049, batch_cost: 1.1968, reader_cost: 0.00016, ips: 1.6711 samples/sec | ETA 43:44:40 2021-08-21 22:48:36 [INFO] [TRAIN] epoch: 77, iter: 28430/160000, loss: 0.0894, lr: 0.000049, batch_cost: 1.1986, reader_cost: 0.00017, ips: 1.6686 samples/sec | ETA 43:48:25 2021-08-21 22:48:48 [INFO] [TRAIN] epoch: 77, iter: 28440/160000, loss: 0.0665, lr: 0.000049, batch_cost: 1.1939, reader_cost: 0.00016, ips: 1.6751 samples/sec | ETA 43:37:54 2021-08-21 22:49:00 [INFO] [TRAIN] epoch: 77, iter: 28450/160000, loss: 0.0728, lr: 0.000049, batch_cost: 1.1952, reader_cost: 0.00017, ips: 1.6733 samples/sec | ETA 43:40:32 2021-08-21 22:49:11 [INFO] [TRAIN] epoch: 77, iter: 28460/160000, loss: 0.0715, lr: 0.000049, batch_cost: 1.1900, reader_cost: 0.00017, ips: 1.6806 samples/sec | ETA 43:28:55 2021-08-21 22:49:23 [INFO] [TRAIN] epoch: 77, iter: 28470/160000, loss: 0.0779, lr: 0.000049, batch_cost: 1.1901, reader_cost: 0.00018, ips: 1.6805 samples/sec | ETA 43:28:56 2021-08-21 22:49:35 [INFO] [TRAIN] epoch: 77, iter: 28480/160000, loss: 0.0793, lr: 0.000049, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 43:33:44 2021-08-21 22:49:47 [INFO] [TRAIN] epoch: 77, iter: 28490/160000, loss: 0.0905, lr: 0.000049, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 43:29:19 2021-08-21 22:49:59 [INFO] [TRAIN] epoch: 77, iter: 28500/160000, loss: 0.0948, lr: 0.000049, batch_cost: 1.1951, reader_cost: 0.00016, ips: 1.6735 samples/sec | ETA 43:39:11 2021-08-21 22:50:11 [INFO] [TRAIN] epoch: 77, iter: 28510/160000, loss: 0.0975, lr: 0.000049, batch_cost: 1.1805, reader_cost: 0.00017, ips: 1.6942 samples/sec | ETA 43:07:05 2021-08-21 22:50:23 [INFO] [TRAIN] epoch: 77, iter: 28520/160000, loss: 0.0751, lr: 0.000049, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 43:22:24 2021-08-21 22:50:35 [INFO] [TRAIN] epoch: 77, iter: 28530/160000, loss: 0.0829, lr: 0.000049, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6804 samples/sec | ETA 43:27:52 2021-08-21 22:50:47 [INFO] [TRAIN] epoch: 77, iter: 28540/160000, loss: 0.0867, lr: 0.000049, batch_cost: 1.1973, reader_cost: 0.00017, ips: 1.6704 samples/sec | ETA 43:43:15 2021-08-21 22:50:59 [INFO] [TRAIN] epoch: 77, iter: 28550/160000, loss: 0.0950, lr: 0.000049, batch_cost: 1.2037, reader_cost: 0.00018, ips: 1.6616 samples/sec | ETA 43:57:00 2021-08-21 22:51:11 [INFO] [TRAIN] epoch: 77, iter: 28560/160000, loss: 0.1019, lr: 0.000049, batch_cost: 1.1926, reader_cost: 0.00017, ips: 1.6770 samples/sec | ETA 43:32:40 2021-08-21 22:51:23 [INFO] [TRAIN] epoch: 77, iter: 28570/160000, loss: 0.0893, lr: 0.000049, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 43:31:45 2021-08-21 22:51:35 [INFO] [TRAIN] epoch: 77, iter: 28580/160000, loss: 0.0853, lr: 0.000049, batch_cost: 1.1991, reader_cost: 0.00017, ips: 1.6679 samples/sec | ETA 43:46:30 2021-08-21 22:51:47 [INFO] [TRAIN] epoch: 77, iter: 28590/160000, loss: 0.0867, lr: 0.000049, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6752 samples/sec | ETA 43:34:49 2021-08-21 22:51:58 [INFO] [TRAIN] epoch: 77, iter: 28600/160000, loss: 0.0684, lr: 0.000049, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 43:29:31 2021-08-21 22:52:10 [INFO] [TRAIN] epoch: 77, iter: 28610/160000, loss: 0.0881, lr: 0.000049, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 43:31:52 2021-08-21 22:52:22 [INFO] [TRAIN] epoch: 77, iter: 28620/160000, loss: 0.1018, lr: 0.000049, batch_cost: 1.1890, 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2021-08-21 22:54:47 [INFO] [TRAIN] epoch: 78, iter: 28740/160000, loss: 0.0946, lr: 0.000049, batch_cost: 1.1835, reader_cost: 0.00017, ips: 1.6898 samples/sec | ETA 43:09:11 2021-08-21 22:54:59 [INFO] [TRAIN] epoch: 78, iter: 28750/160000, loss: 0.0958, lr: 0.000049, batch_cost: 1.1829, reader_cost: 0.00017, ips: 1.6907 samples/sec | ETA 43:07:40 2021-08-21 22:55:11 [INFO] [TRAIN] epoch: 78, iter: 28760/160000, loss: 0.0848, lr: 0.000049, batch_cost: 1.1849, reader_cost: 0.00017, ips: 1.6879 samples/sec | ETA 43:11:47 2021-08-21 22:55:23 [INFO] [TRAIN] epoch: 78, iter: 28770/160000, loss: 0.0797, lr: 0.000049, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6744 samples/sec | ETA 43:32:24 2021-08-21 22:55:35 [INFO] [TRAIN] epoch: 78, iter: 28780/160000, loss: 0.0731, lr: 0.000049, batch_cost: 1.2030, reader_cost: 0.00018, ips: 1.6625 samples/sec | ETA 43:51:02 2021-08-21 22:55:47 [INFO] [TRAIN] epoch: 78, iter: 28790/160000, loss: 0.0815, lr: 0.000049, batch_cost: 1.2056, 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2021-08-21 23:04:59 [INFO] [TRAIN] epoch: 79, iter: 29250/160000, loss: 0.0705, lr: 0.000049, batch_cost: 1.1985, reader_cost: 0.00016, ips: 1.6688 samples/sec | ETA 43:31:42 2021-08-21 23:05:11 [INFO] [TRAIN] epoch: 79, iter: 29260/160000, loss: 0.0683, lr: 0.000049, batch_cost: 1.1889, reader_cost: 0.00017, ips: 1.6822 samples/sec | ETA 43:10:41 2021-08-21 23:05:23 [INFO] [TRAIN] epoch: 79, iter: 29270/160000, loss: 0.0961, lr: 0.000049, batch_cost: 1.1833, reader_cost: 0.00017, ips: 1.6902 samples/sec | ETA 42:58:15 2021-08-21 23:05:35 [INFO] [TRAIN] epoch: 79, iter: 29280/160000, loss: 0.0856, lr: 0.000049, batch_cost: 1.1860, reader_cost: 0.00017, ips: 1.6864 samples/sec | ETA 43:03:48 2021-08-21 23:05:46 [INFO] [TRAIN] epoch: 79, iter: 29290/160000, loss: 0.0861, lr: 0.000049, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6769 samples/sec | ETA 43:18:13 2021-08-21 23:05:58 [INFO] [TRAIN] epoch: 79, iter: 29300/160000, loss: 0.0920, lr: 0.000049, batch_cost: 1.1933, 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2021-08-21 23:45:45 [INFO] [TRAIN] epoch: 85, iter: 31290/160000, loss: 0.0964, lr: 0.000048, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6839 samples/sec | ETA 42:27:51 2021-08-21 23:45:57 [INFO] [TRAIN] epoch: 85, iter: 31300/160000, loss: 0.0998, lr: 0.000048, batch_cost: 1.2013, reader_cost: 0.00017, ips: 1.6649 samples/sec | ETA 42:56:45 2021-08-21 23:46:09 [INFO] [TRAIN] epoch: 85, iter: 31310/160000, loss: 0.0849, lr: 0.000048, batch_cost: 1.1943, reader_cost: 0.00018, ips: 1.6746 samples/sec | ETA 42:41:37 2021-08-21 23:46:21 [INFO] [TRAIN] epoch: 85, iter: 31320/160000, loss: 0.1033, lr: 0.000048, batch_cost: 1.1983, reader_cost: 0.00016, ips: 1.6690 samples/sec | ETA 42:49:55 2021-08-21 23:46:33 [INFO] [TRAIN] epoch: 85, iter: 31330/160000, loss: 0.0742, lr: 0.000048, batch_cost: 1.1953, reader_cost: 0.00016, ips: 1.6733 samples/sec | ETA 42:43:13 2021-08-21 23:46:45 [INFO] [TRAIN] epoch: 85, iter: 31340/160000, loss: 0.0651, lr: 0.000048, batch_cost: 1.1919, reader_cost: 0.00019, ips: 1.6780 samples/sec | ETA 42:35:52 2021-08-21 23:46:57 [INFO] [TRAIN] epoch: 85, iter: 31350/160000, loss: 0.0793, lr: 0.000048, batch_cost: 1.1995, reader_cost: 0.00018, ips: 1.6673 samples/sec | ETA 42:51:57 2021-08-21 23:47:09 [INFO] [TRAIN] epoch: 85, iter: 31360/160000, loss: 0.0760, lr: 0.000048, batch_cost: 1.1964, reader_cost: 0.00019, ips: 1.6717 samples/sec | ETA 42:45:04 2021-08-21 23:47:20 [INFO] [TRAIN] epoch: 85, iter: 31370/160000, loss: 0.0826, lr: 0.000048, batch_cost: 1.1886, reader_cost: 0.00017, ips: 1.6826 samples/sec | ETA 42:28:11 2021-08-21 23:47:32 [INFO] [TRAIN] epoch: 85, iter: 31380/160000, loss: 0.0856, lr: 0.000048, batch_cost: 1.1987, reader_cost: 0.00017, ips: 1.6685 samples/sec | ETA 42:49:38 2021-08-21 23:47:44 [INFO] [TRAIN] epoch: 85, iter: 31390/160000, loss: 0.1043, lr: 0.000048, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6776 samples/sec | ETA 42:35:25 2021-08-21 23:47:56 [INFO] [TRAIN] epoch: 85, iter: 31400/160000, loss: 0.0952, lr: 0.000048, batch_cost: 1.1919, reader_cost: 0.00016, ips: 1.6780 samples/sec | ETA 42:34:33 2021-08-21 23:48:08 [INFO] [TRAIN] epoch: 85, iter: 31410/160000, loss: 0.0823, lr: 0.000048, batch_cost: 1.1945, reader_cost: 0.00018, ips: 1.6744 samples/sec | ETA 42:39:56 2021-08-21 23:48:20 [INFO] [TRAIN] epoch: 85, iter: 31420/160000, loss: 0.0659, lr: 0.000048, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 42:25:10 2021-08-21 23:48:32 [INFO] [TRAIN] epoch: 85, iter: 31430/160000, loss: 0.0943, lr: 0.000048, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 42:31:48 2021-08-21 23:48:44 [INFO] [TRAIN] epoch: 85, iter: 31440/160000, loss: 0.0885, lr: 0.000048, batch_cost: 1.2004, reader_cost: 0.00017, ips: 1.6661 samples/sec | ETA 42:52:08 2021-08-21 23:48:56 [INFO] [TRAIN] epoch: 85, iter: 31450/160000, loss: 0.0773, lr: 0.000048, batch_cost: 1.1910, reader_cost: 0.00016, ips: 1.6792 samples/sec | ETA 42:31:48 2021-08-21 23:49:08 [INFO] [TRAIN] epoch: 85, iter: 31460/160000, loss: 0.0906, lr: 0.000048, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6765 samples/sec | ETA 42:35:47 2021-08-21 23:49:20 [INFO] [TRAIN] epoch: 85, iter: 31470/160000, loss: 0.1001, lr: 0.000048, batch_cost: 1.1977, reader_cost: 0.00018, ips: 1.6699 samples/sec | ETA 42:45:38 2021-08-21 23:49:32 [INFO] [TRAIN] epoch: 85, iter: 31480/160000, loss: 0.0973, lr: 0.000048, batch_cost: 1.2088, reader_cost: 0.00017, ips: 1.6546 samples/sec | ETA 43:09:09 2021-08-21 23:49:44 [INFO] [TRAIN] epoch: 85, iter: 31490/160000, loss: 0.0865, lr: 0.000048, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6755 samples/sec | ETA 42:36:38 2021-08-21 23:49:56 [INFO] [TRAIN] epoch: 85, iter: 31500/160000, loss: 0.0980, lr: 0.000048, batch_cost: 1.2003, reader_cost: 0.00017, ips: 1.6662 samples/sec | ETA 42:50:44 2021-08-21 23:50:08 [INFO] [TRAIN] epoch: 85, iter: 31510/160000, loss: 0.0924, lr: 0.000048, batch_cost: 1.1943, reader_cost: 0.00017, ips: 1.6747 samples/sec | ETA 42:37:29 2021-08-21 23:50:20 [INFO] [TRAIN] epoch: 85, iter: 31520/160000, loss: 0.0755, lr: 0.000048, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6752 samples/sec | ETA 42:36:28 2021-08-21 23:50:32 [INFO] [TRAIN] epoch: 85, iter: 31530/160000, loss: 0.0811, lr: 0.000048, batch_cost: 1.1960, reader_cost: 0.00017, ips: 1.6723 samples/sec | ETA 42:40:43 2021-08-21 23:50:43 [INFO] [TRAIN] epoch: 85, iter: 31540/160000, loss: 0.0936, lr: 0.000048, batch_cost: 1.1803, reader_cost: 0.00017, ips: 1.6945 samples/sec | ETA 42:07:00 2021-08-21 23:50:55 [INFO] [TRAIN] epoch: 85, iter: 31550/160000, loss: 0.0953, lr: 0.000048, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 42:29:52 2021-08-21 23:51:07 [INFO] [TRAIN] epoch: 85, iter: 31560/160000, loss: 0.0883, lr: 0.000048, batch_cost: 1.1917, reader_cost: 0.00017, ips: 1.6782 samples/sec | ETA 42:31:04 2021-08-21 23:51:19 [INFO] [TRAIN] epoch: 85, iter: 31570/160000, loss: 0.0878, lr: 0.000048, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 42:33:46 2021-08-21 23:51:31 [INFO] [TRAIN] epoch: 85, iter: 31580/160000, loss: 0.0742, lr: 0.000048, batch_cost: 1.2049, reader_cost: 0.00017, ips: 1.6599 samples/sec | ETA 42:58:49 2021-08-21 23:51:43 [INFO] [TRAIN] epoch: 85, iter: 31590/160000, loss: 0.1083, lr: 0.000048, batch_cost: 1.2073, reader_cost: 0.00017, ips: 1.6566 samples/sec | ETA 43:03:45 2021-08-21 23:51:55 [INFO] [TRAIN] epoch: 85, iter: 31600/160000, loss: 0.0856, lr: 0.000048, batch_cost: 1.2072, reader_cost: 0.00017, ips: 1.6568 samples/sec | ETA 43:03:18 2021-08-21 23:52:07 [INFO] [TRAIN] epoch: 85, iter: 31610/160000, loss: 0.1175, lr: 0.000048, batch_cost: 1.1991, reader_cost: 0.00016, ips: 1.6680 samples/sec | ETA 42:45:47 2021-08-21 23:52:19 [INFO] [TRAIN] epoch: 85, iter: 31620/160000, loss: 0.1026, lr: 0.000048, batch_cost: 1.1839, reader_cost: 0.00012, ips: 1.6893 samples/sec | ETA 42:13:13 2021-08-21 23:52:33 [INFO] [TRAIN] epoch: 86, iter: 31630/160000, loss: 0.0822, lr: 0.000048, batch_cost: 1.4062, reader_cost: 0.18296, ips: 1.4223 samples/sec | ETA 50:08:29 2021-08-21 23:52:45 [INFO] [TRAIN] epoch: 86, iter: 31640/160000, loss: 0.0939, lr: 0.000048, batch_cost: 1.1911, reader_cost: 0.00067, ips: 1.6791 samples/sec | ETA 42:28:07 2021-08-21 23:52:57 [INFO] [TRAIN] epoch: 86, iter: 31650/160000, loss: 0.1024, lr: 0.000048, batch_cost: 1.1941, reader_cost: 0.00017, ips: 1.6750 samples/sec | ETA 42:34:17 2021-08-21 23:53:09 [INFO] [TRAIN] epoch: 86, iter: 31660/160000, loss: 0.0831, lr: 0.000048, batch_cost: 1.1993, reader_cost: 0.00018, ips: 1.6676 samples/sec | ETA 42:45:17 2021-08-21 23:53:21 [INFO] [TRAIN] epoch: 86, iter: 31670/160000, loss: 0.0869, lr: 0.000048, batch_cost: 1.2034, reader_cost: 0.00017, ips: 1.6619 samples/sec | ETA 42:53:58 2021-08-21 23:53:33 [INFO] [TRAIN] epoch: 86, iter: 31680/160000, loss: 0.0791, lr: 0.000048, batch_cost: 1.1905, reader_cost: 0.00018, ips: 1.6799 samples/sec | ETA 42:26:10 2021-08-21 23:53:45 [INFO] [TRAIN] epoch: 86, iter: 31690/160000, loss: 0.0742, lr: 0.000048, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6781 samples/sec | ETA 42:28:42 2021-08-21 23:53:57 [INFO] [TRAIN] epoch: 86, iter: 31700/160000, loss: 0.0881, lr: 0.000048, batch_cost: 1.2015, reader_cost: 0.00017, ips: 1.6645 samples/sec | ETA 42:49:17 2021-08-21 23:54:09 [INFO] [TRAIN] epoch: 86, iter: 31710/160000, loss: 0.1187, lr: 0.000048, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6784 samples/sec | ETA 42:27:52 2021-08-21 23:54:21 [INFO] [TRAIN] epoch: 86, iter: 31720/160000, loss: 0.0708, lr: 0.000048, batch_cost: 1.1889, reader_cost: 0.00017, ips: 1.6823 samples/sec | ETA 42:21:48 2021-08-21 23:54:33 [INFO] [TRAIN] epoch: 86, iter: 31730/160000, loss: 0.0830, lr: 0.000048, batch_cost: 1.1962, reader_cost: 0.00017, ips: 1.6719 samples/sec | ETA 42:37:20 2021-08-21 23:54:45 [INFO] [TRAIN] epoch: 86, iter: 31740/160000, loss: 0.0800, lr: 0.000048, batch_cost: 1.1975, reader_cost: 0.00017, ips: 1.6702 samples/sec | ETA 42:39:50 2021-08-21 23:54:57 [INFO] [TRAIN] epoch: 86, iter: 31750/160000, loss: 0.0735, lr: 0.000048, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6797 samples/sec | ETA 42:25:05 2021-08-21 23:55:09 [INFO] [TRAIN] epoch: 86, iter: 31760/160000, loss: 0.0863, lr: 0.000048, batch_cost: 1.1981, reader_cost: 0.00017, ips: 1.6694 samples/sec | ETA 42:40:39 2021-08-21 23:55:21 [INFO] [TRAIN] epoch: 86, iter: 31770/160000, loss: 0.0827, lr: 0.000048, batch_cost: 1.1854, reader_cost: 0.00017, ips: 1.6872 samples/sec | ETA 42:13:22 2021-08-21 23:55:32 [INFO] [TRAIN] epoch: 86, iter: 31780/160000, loss: 0.0924, lr: 0.000048, batch_cost: 1.1883, reader_cost: 0.00016, ips: 1.6831 samples/sec | ETA 42:19:21 2021-08-21 23:55:44 [INFO] [TRAIN] epoch: 86, iter: 31790/160000, loss: 0.1155, lr: 0.000048, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 42:29:22 2021-08-21 23:55:56 [INFO] [TRAIN] epoch: 86, iter: 31800/160000, loss: 0.0904, lr: 0.000048, batch_cost: 1.1890, reader_cost: 0.00018, ips: 1.6821 samples/sec | ETA 42:20:27 2021-08-21 23:56:08 [INFO] [TRAIN] epoch: 86, iter: 31810/160000, loss: 0.0799, lr: 0.000048, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 42:34:11 2021-08-21 23:56:20 [INFO] [TRAIN] epoch: 86, iter: 31820/160000, loss: 0.1118, lr: 0.000048, batch_cost: 1.1970, reader_cost: 0.00017, ips: 1.6709 samples/sec | ETA 42:37:10 2021-08-21 23:56:32 [INFO] [TRAIN] epoch: 86, iter: 31830/160000, loss: 0.0794, lr: 0.000048, batch_cost: 1.1843, reader_cost: 0.00016, ips: 1.6888 samples/sec | ETA 42:09:52 2021-08-21 23:56:44 [INFO] [TRAIN] epoch: 86, iter: 31840/160000, loss: 0.0785, lr: 0.000048, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 42:18:34 2021-08-21 23:56:56 [INFO] [TRAIN] epoch: 86, iter: 31850/160000, loss: 0.0871, lr: 0.000048, batch_cost: 1.2007, reader_cost: 0.00018, ips: 1.6657 samples/sec | ETA 42:44:28 2021-08-21 23:57:08 [INFO] [TRAIN] epoch: 86, iter: 31860/160000, loss: 0.0780, lr: 0.000048, batch_cost: 1.1879, reader_cost: 0.00017, ips: 1.6836 samples/sec | ETA 42:17:03 2021-08-21 23:57:20 [INFO] [TRAIN] epoch: 86, iter: 31870/160000, loss: 0.0908, lr: 0.000048, batch_cost: 1.1993, reader_cost: 0.00017, ips: 1.6677 samples/sec | ETA 42:41:03 2021-08-21 23:57:32 [INFO] [TRAIN] epoch: 86, iter: 31880/160000, loss: 0.0701, lr: 0.000048, batch_cost: 1.1839, reader_cost: 0.00017, ips: 1.6893 samples/sec | ETA 42:07:59 2021-08-21 23:57:44 [INFO] [TRAIN] epoch: 86, iter: 31890/160000, loss: 0.0822, lr: 0.000048, batch_cost: 1.1872, reader_cost: 0.00016, ips: 1.6847 samples/sec | ETA 42:14:49 2021-08-21 23:57:55 [INFO] [TRAIN] epoch: 86, iter: 31900/160000, loss: 0.0902, lr: 0.000048, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6827 samples/sec | ETA 42:17:32 2021-08-21 23:58:07 [INFO] [TRAIN] epoch: 86, iter: 31910/160000, loss: 0.0744, lr: 0.000048, batch_cost: 1.2008, reader_cost: 0.00016, ips: 1.6655 samples/sec | ETA 42:43:33 2021-08-21 23:58:19 [INFO] [TRAIN] epoch: 86, iter: 31920/160000, loss: 0.0867, lr: 0.000048, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 42:28:18 2021-08-21 23:58:31 [INFO] [TRAIN] epoch: 86, iter: 31930/160000, loss: 0.0785, lr: 0.000048, batch_cost: 1.1948, reader_cost: 0.00016, ips: 1.6739 samples/sec | ETA 42:30:16 2021-08-21 23:58:43 [INFO] [TRAIN] epoch: 86, iter: 31940/160000, loss: 0.0704, lr: 0.000048, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 42:26:25 2021-08-21 23:58:55 [INFO] [TRAIN] epoch: 86, iter: 31950/160000, loss: 0.0998, lr: 0.000048, batch_cost: 1.1906, reader_cost: 0.00018, ips: 1.6799 samples/sec | ETA 42:20:52 2021-08-21 23:59:07 [INFO] [TRAIN] epoch: 86, iter: 31960/160000, loss: 0.0748, lr: 0.000048, batch_cost: 1.1862, reader_cost: 0.00018, ips: 1.6861 samples/sec | ETA 42:11:21 2021-08-21 23:59:19 [INFO] [TRAIN] epoch: 86, iter: 31970/160000, loss: 0.0841, lr: 0.000048, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 42:23:42 2021-08-21 23:59:31 [INFO] [TRAIN] epoch: 86, iter: 31980/160000, loss: 0.0760, lr: 0.000048, batch_cost: 1.2007, reader_cost: 0.00017, ips: 1.6657 samples/sec | ETA 42:41:54 2021-08-21 23:59:43 [INFO] [TRAIN] epoch: 86, iter: 31990/160000, loss: 0.0716, lr: 0.000048, batch_cost: 1.1639, reader_cost: 0.00013, ips: 1.7183 samples/sec | ETA 41:23:17 2021-08-21 23:59:57 [INFO] [TRAIN] epoch: 87, iter: 32000/160000, loss: 0.0801, lr: 0.000048, batch_cost: 1.4202, reader_cost: 0.18237, ips: 1.4083 samples/sec | ETA 50:29:40 2021-08-21 23:59:57 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:53 - batch_cost: 2.3672 - reader cost: 0.3709 2/125 [..............................] - ETA: 4:21 - batch_cost: 2.1297 - reader cost: 0.1856 3/125 [..............................] - ETA: 4:09 - batch_cost: 2.0486 - reader cost: 0.1238 4/125 [..............................] - ETA: 4:03 - batch_cost: 2.0108 - reader cost: 0.0929 5/125 [>.............................] - ETA: 3:58 - batch_cost: 1.9887 - reader cost: 0.0744 6/125 [>.............................] - ETA: 3:54 - batch_cost: 1.9736 - reader cost: 0.0620 7/125 [>.............................] - ETA: 3:51 - batch_cost: 1.9617 - reader cost: 0.0532 8/125 [>.............................] - ETA: 3:48 - batch_cost: 1.9510 - reader cost: 0.0465 9/125 [=>............................] - ETA: 3:45 - batch_cost: 1.9447 - reader cost: 0.0414 10/125 [=>............................] - ETA: 3:43 - batch_cost: 1.9404 - reader cost: 0.0373 11/125 [=>............................] - ETA: 3:40 - batch_cost: 1.9363 - reader cost: 0.0339 12/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9324 - reader cost: 0.0311 13/125 [==>...........................] - ETA: 3:36 - batch_cost: 1.9291 - reader cost: 0.0287 14/125 [==>...........................] - ETA: 3:33 - batch_cost: 1.9253 - reader cost: 0.0267 15/125 [==>...........................] - ETA: 3:31 - batch_cost: 1.9234 - reader cost: 0.0249 16/125 [==>...........................] - ETA: 3:29 - batch_cost: 1.9220 - reader cost: 0.0234 17/125 [===>..........................] - ETA: 3:27 - batch_cost: 1.9196 - reader cost: 0.0220 18/125 [===>..........................] - ETA: 3:25 - batch_cost: 1.9182 - reader cost: 0.0208 19/125 [===>..........................] - ETA: 3:23 - batch_cost: 1.9166 - reader cost: 0.0197 20/125 [===>..........................] - ETA: 3:21 - batch_cost: 1.9155 - reader cost: 0.0187 21/125 [====>.........................] - ETA: 3:19 - batch_cost: 1.9159 - reader cost: 0.0179 22/125 [====>.........................] - ETA: 3:17 - batch_cost: 1.9150 - reader cost: 0.0171 23/125 [====>.........................] - ETA: 3:15 - batch_cost: 1.9141 - reader cost: 0.0163 24/125 [====>.........................] - ETA: 3:13 - batch_cost: 1.9145 - reader cost: 0.0156 25/125 [=====>........................] - ETA: 3:11 - batch_cost: 1.9141 - reader cost: 0.0150 26/125 [=====>........................] - ETA: 3:09 - batch_cost: 1.9135 - reader cost: 0.0145 27/125 [=====>........................] - ETA: 3:07 - batch_cost: 1.9124 - reader cost: 0.0139 28/125 [=====>........................] - ETA: 3:05 - batch_cost: 1.9114 - reader cost: 0.0134 29/125 [=====>........................] - ETA: 3:03 - batch_cost: 1.9106 - reader cost: 0.0130 30/125 [======>.......................] - ETA: 3:01 - batch_cost: 1.9100 - reader cost: 0.0126 31/125 [======>.......................] - ETA: 2:59 - batch_cost: 1.9097 - reader cost: 0.0122 32/125 [======>.......................] - ETA: 2:57 - batch_cost: 1.9093 - reader cost: 0.0118 33/125 [======>.......................] - ETA: 2:55 - batch_cost: 1.9086 - reader cost: 0.0114 34/125 [=======>......................] - ETA: 2:53 - batch_cost: 1.9083 - reader cost: 0.0111 35/125 [=======>......................] - ETA: 2:51 - batch_cost: 1.9075 - reader cost: 0.0108 36/125 [=======>......................] - ETA: 2:49 - batch_cost: 1.9069 - reader cost: 0.0105 37/125 [=======>......................] - ETA: 2:47 - batch_cost: 1.9064 - reader cost: 0.0102 38/125 [========>.....................] - ETA: 2:45 - batch_cost: 1.9054 - reader cost: 0.0100 39/125 [========>.....................] - ETA: 2:43 - batch_cost: 1.9043 - reader cost: 0.0097 40/125 [========>.....................] - ETA: 2:41 - batch_cost: 1.9035 - reader cost: 0.0095 41/125 [========>.....................] - ETA: 2:39 - batch_cost: 1.9031 - reader cost: 0.0092 42/125 [=========>....................] - ETA: 2:37 - batch_cost: 1.9027 - reader cost: 0.0090 43/125 [=========>....................] - ETA: 2:36 - batch_cost: 1.9026 - reader cost: 0.0088 44/125 [=========>....................] - ETA: 2:34 - batch_cost: 1.9023 - reader cost: 0.0086 45/125 [=========>....................] - ETA: 2:32 - batch_cost: 1.9022 - reader cost: 0.0084 46/125 [==========>...................] - ETA: 2:30 - batch_cost: 1.9018 - reader cost: 0.0083 47/125 [==========>...................] - ETA: 2:28 - batch_cost: 1.9018 - reader cost: 0.0081 48/125 [==========>...................] - ETA: 2:26 - batch_cost: 1.9014 - reader cost: 0.0079 49/125 [==========>...................] - ETA: 2:24 - batch_cost: 1.9012 - reader cost: 0.0078 50/125 [===========>..................] - ETA: 2:22 - batch_cost: 1.9010 - reader cost: 0.0076 51/125 [===========>..................] - ETA: 2:20 - batch_cost: 1.9007 - reader cost: 0.0075 52/125 [===========>..................] - ETA: 2:18 - batch_cost: 1.9009 - reader cost: 0.0073 53/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.9014 - reader cost: 0.0072 54/125 [===========>..................] - ETA: 2:15 - batch_cost: 1.9016 - reader cost: 0.0071 55/125 [============>.................] - ETA: 2:13 - batch_cost: 1.9019 - reader cost: 0.0069 56/125 [============>.................] - ETA: 2:11 - batch_cost: 1.9019 - reader cost: 0.0068 57/125 [============>.................] - ETA: 2:09 - batch_cost: 1.9021 - reader cost: 0.0067 58/125 [============>.................] - ETA: 2:07 - batch_cost: 1.9022 - reader cost: 0.0066 59/125 [=============>................] - ETA: 2:05 - batch_cost: 1.9024 - reader cost: 0.0065 60/125 [=============>................] - ETA: 2:03 - batch_cost: 1.9027 - reader cost: 0.0064 61/125 [=============>................] - ETA: 2:01 - batch_cost: 1.9025 - reader cost: 0.0063 62/125 [=============>................] - ETA: 1:59 - batch_cost: 1.9009 - reader cost: 0.0062 63/125 [==============>...............] - ETA: 1:57 - batch_cost: 1.8999 - reader cost: 0.0061 64/125 [==============>...............] - ETA: 1:55 - batch_cost: 1.8986 - reader cost: 0.0060 65/125 [==============>...............] - ETA: 1:53 - batch_cost: 1.8975 - reader cost: 0.0059 66/125 [==============>...............] - ETA: 1:51 - batch_cost: 1.8962 - reader cost: 0.0058 67/125 [===============>..............] - ETA: 1:49 - batch_cost: 1.8953 - reader cost: 0.0057 68/125 [===============>..............] - ETA: 1:47 - batch_cost: 1.8941 - reader cost: 0.0057 69/125 [===============>..............] - ETA: 1:46 - batch_cost: 1.8931 - reader cost: 0.0056 70/125 [===============>..............] - ETA: 1:44 - batch_cost: 1.8920 - reader cost: 0.0055 71/125 [================>.............] - ETA: 1:42 - batch_cost: 1.8911 - reader cost: 0.0054 72/125 [================>.............] - ETA: 1:40 - batch_cost: 1.8903 - reader cost: 0.0053 73/125 [================>.............] - ETA: 1:38 - batch_cost: 1.8895 - reader cost: 0.0053 74/125 [================>.............] - ETA: 1:36 - batch_cost: 1.8887 - reader cost: 0.0052 75/125 [=================>............] - ETA: 1:34 - batch_cost: 1.8878 - reader cost: 0.0051 76/125 [=================>............] - ETA: 1:32 - 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[===================>..........] - ETA: 1:11 - batch_cost: 1.8780 - reader cost: 0.0045 88/125 [====================>.........] - ETA: 1:09 - batch_cost: 1.8771 - reader cost: 0.0044 89/125 [====================>.........] - ETA: 1:07 - batch_cost: 1.8764 - reader cost: 0.0044 90/125 [====================>.........] - ETA: 1:05 - batch_cost: 1.8756 - reader cost: 0.0043 91/125 [====================>.........] - ETA: 1:03 - batch_cost: 1.8752 - reader cost: 0.0043 92/125 [=====================>........] - ETA: 1:01 - batch_cost: 1.8744 - reader cost: 0.0042 93/125 [=====================>........] - ETA: 59s - batch_cost: 1.8738 - reader cost: 0.0042  94/125 [=====================>........] - ETA: 58s - batch_cost: 1.8732 - reader cost: 0.0041 95/125 [=====================>........] - ETA: 56s - batch_cost: 1.8727 - reader cost: 0.0041 96/125 [======================>.......] - ETA: 54s - batch_cost: 1.8721 - reader cost: 0.0041 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8720 - reader cost: 0.0040 98/125 [======================>.......] - ETA: 50s - batch_cost: 1.8714 - reader cost: 0.0040 99/125 [======================>.......] - ETA: 48s - batch_cost: 1.8711 - reader cost: 0.0039 100/125 [=======================>......] - ETA: 46s - batch_cost: 1.8705 - reader cost: 0.0039 101/125 [=======================>......] - ETA: 44s - batch_cost: 1.8699 - reader cost: 0.0039 102/125 [=======================>......] - ETA: 43s - batch_cost: 1.8695 - reader cost: 0.0038 103/125 [=======================>......] - ETA: 41s - batch_cost: 1.8689 - reader cost: 0.0038 104/125 [=======================>......] - ETA: 39s - batch_cost: 1.8683 - reader cost: 0.0038 105/125 [========================>.....] - ETA: 37s - batch_cost: 1.8678 - reader cost: 0.0037 106/125 [========================>.....] - ETA: 35s - batch_cost: 1.8673 - reader cost: 0.0037 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8668 - reader cost: 0.0037 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8664 - reader cost: 0.0036 109/125 [=========================>....] - ETA: 29s - batch_cost: 1.8658 - reader cost: 0.0036 110/125 [=========================>....] - ETA: 27s - batch_cost: 1.8652 - reader cost: 0.0036 111/125 [=========================>....] - ETA: 26s - batch_cost: 1.8648 - reader cost: 0.0035 112/125 [=========================>....] - ETA: 24s - batch_cost: 1.8643 - reader cost: 0.0035 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8640 - reader cost: 0.0035 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8636 - reader cost: 0.0034 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8632 - reader cost: 0.0034 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8628 - reader cost: 0.0034 117/125 [===========================>..] - ETA: 14s - batch_cost: 1.8624 - reader cost: 0.0034 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8620 - reader cost: 0.0033 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8617 - reader cost: 0.0033 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8614 - reader cost: 0.0033  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8613 - reader cost: 0.0033 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8609 - reader cost: 0.0032 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8609 - reader cost: 0.0032 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8605 - reader cost: 0.0032 125/125 [==============================] - 233s 2s/step - batch_cost: 1.8602 - reader cost: 0.0032 2021-08-22 00:03:49 [INFO] [EVAL] #Images: 500 mIoU: 0.8001 Acc: 0.9643 Kappa: 0.9537 2021-08-22 00:03:49 [INFO] [EVAL] Class IoU: [0.9839 0.8657 0.9321 0.6438 0.6286 0.6693 0.7335 0.8021 0.9284 0.6513 0.9524 0.8331 0.6506 0.9514 0.8031 0.8903 0.8053 0.6883 0.7888] 2021-08-22 00:03:49 [INFO] [EVAL] Class Acc: [0.9921 0.9266 0.961 0.8608 0.8254 0.8308 0.8436 0.9185 0.9598 0.7934 0.9685 0.9048 0.8126 0.9778 0.8411 0.9387 0.9054 0.8119 0.8652] 2021-08-22 00:03:52 [INFO] [EVAL] The model with the best validation mIoU (0.8031) was saved at iter 28000. 2021-08-22 00:04:04 [INFO] [TRAIN] epoch: 87, iter: 32010/160000, loss: 0.0742, lr: 0.000048, batch_cost: 1.1976, reader_cost: 0.00050, ips: 1.6701 samples/sec | ETA 42:34:34 2021-08-22 00:04:16 [INFO] [TRAIN] epoch: 87, iter: 32020/160000, loss: 0.0910, lr: 0.000048, batch_cost: 1.2104, reader_cost: 0.00016, ips: 1.6524 samples/sec | ETA 43:01:43 2021-08-22 00:04:28 [INFO] [TRAIN] epoch: 87, iter: 32030/160000, loss: 0.0648, lr: 0.000048, batch_cost: 1.2105, reader_cost: 0.00020, ips: 1.6521 samples/sec | ETA 43:01:53 2021-08-22 00:04:40 [INFO] [TRAIN] epoch: 87, iter: 32040/160000, loss: 0.0643, lr: 0.000048, batch_cost: 1.2103, reader_cost: 0.00020, ips: 1.6524 samples/sec | ETA 43:01:13 2021-08-22 00:04:52 [INFO] [TRAIN] epoch: 87, iter: 32050/160000, loss: 0.0827, lr: 0.000048, batch_cost: 1.2118, reader_cost: 0.00021, ips: 1.6505 samples/sec | ETA 43:04:04 2021-08-22 00:05:04 [INFO] [TRAIN] epoch: 87, iter: 32060/160000, loss: 0.0768, lr: 0.000048, batch_cost: 1.2140, reader_cost: 0.00019, ips: 1.6474 samples/sec | ETA 43:08:44 2021-08-22 00:05:16 [INFO] [TRAIN] epoch: 87, iter: 32070/160000, loss: 0.1382, lr: 0.000048, batch_cost: 1.1986, reader_cost: 0.00019, ips: 1.6686 samples/sec | ETA 42:35:36 2021-08-22 00:05:28 [INFO] [TRAIN] epoch: 87, iter: 32080/160000, loss: 0.1080, lr: 0.000048, batch_cost: 1.2073, reader_cost: 0.00019, ips: 1.6566 samples/sec | ETA 42:53:53 2021-08-22 00:05:40 [INFO] [TRAIN] epoch: 87, iter: 32090/160000, loss: 0.0680, lr: 0.000048, batch_cost: 1.2077, reader_cost: 0.00019, ips: 1.6560 samples/sec | ETA 42:54:42 2021-08-22 00:05:53 [INFO] [TRAIN] epoch: 87, iter: 32100/160000, loss: 0.0688, lr: 0.000048, batch_cost: 1.2186, reader_cost: 0.00019, ips: 1.6412 samples/sec | ETA 43:17:42 2021-08-22 00:06:05 [INFO] [TRAIN] epoch: 87, iter: 32110/160000, loss: 0.0918, lr: 0.000048, batch_cost: 1.1966, reader_cost: 0.00019, ips: 1.6714 samples/sec | ETA 42:30:34 2021-08-22 00:06:17 [INFO] [TRAIN] epoch: 87, iter: 32120/160000, loss: 0.0873, lr: 0.000048, batch_cost: 1.2026, reader_cost: 0.00020, ips: 1.6630 samples/sec | ETA 42:43:14 2021-08-22 00:06:29 [INFO] [TRAIN] epoch: 87, iter: 32130/160000, loss: 0.0885, lr: 0.000048, batch_cost: 1.2008, reader_cost: 0.00019, ips: 1.6656 samples/sec | ETA 42:39:04 2021-08-22 00:06:41 [INFO] [TRAIN] epoch: 87, iter: 32140/160000, loss: 0.0763, lr: 0.000048, batch_cost: 1.2053, reader_cost: 0.00020, ips: 1.6594 samples/sec | ETA 42:48:27 2021-08-22 00:06:53 [INFO] [TRAIN] epoch: 87, iter: 32150/160000, loss: 0.0921, lr: 0.000048, batch_cost: 1.2171, reader_cost: 0.00021, ips: 1.6432 samples/sec | ETA 43:13:27 2021-08-22 00:07:05 [INFO] [TRAIN] epoch: 87, iter: 32160/160000, loss: 0.0949, lr: 0.000048, batch_cost: 1.2017, reader_cost: 0.00020, ips: 1.6643 samples/sec | ETA 42:40:24 2021-08-22 00:07:17 [INFO] [TRAIN] epoch: 87, iter: 32170/160000, loss: 0.0722, lr: 0.000048, batch_cost: 1.2020, reader_cost: 0.00019, ips: 1.6639 samples/sec | ETA 42:40:50 2021-08-22 00:07:29 [INFO] [TRAIN] epoch: 87, iter: 32180/160000, loss: 0.0868, lr: 0.000048, batch_cost: 1.2028, reader_cost: 0.00019, ips: 1.6628 samples/sec | ETA 42:42:17 2021-08-22 00:07:41 [INFO] [TRAIN] epoch: 87, iter: 32190/160000, loss: 0.0878, lr: 0.000048, batch_cost: 1.1965, reader_cost: 0.00018, ips: 1.6715 samples/sec | ETA 42:28:47 2021-08-22 00:07:53 [INFO] [TRAIN] epoch: 87, iter: 32200/160000, loss: 0.0854, lr: 0.000048, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 42:22:37 2021-08-22 00:08:05 [INFO] [TRAIN] epoch: 87, iter: 32210/160000, loss: 0.0888, lr: 0.000048, batch_cost: 1.1871, reader_cost: 0.00017, ips: 1.6848 samples/sec | ETA 42:08:19 2021-08-22 00:08:17 [INFO] [TRAIN] epoch: 87, iter: 32220/160000, loss: 0.1046, lr: 0.000048, batch_cost: 1.2091, reader_cost: 0.00018, ips: 1.6541 samples/sec | ETA 42:55:01 2021-08-22 00:08:29 [INFO] [TRAIN] epoch: 87, iter: 32230/160000, loss: 0.0842, lr: 0.000048, batch_cost: 1.2001, reader_cost: 0.00017, ips: 1.6665 samples/sec | ETA 42:35:37 2021-08-22 00:08:41 [INFO] [TRAIN] epoch: 87, iter: 32240/160000, loss: 0.0816, lr: 0.000048, batch_cost: 1.1917, reader_cost: 0.00017, ips: 1.6783 samples/sec | ETA 42:17:29 2021-08-22 00:08:53 [INFO] [TRAIN] epoch: 87, iter: 32250/160000, loss: 0.0740, lr: 0.000048, batch_cost: 1.1830, reader_cost: 0.00017, ips: 1.6906 samples/sec | ETA 41:58:49 2021-08-22 00:09:04 [INFO] [TRAIN] epoch: 87, iter: 32260/160000, loss: 0.1022, lr: 0.000048, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6838 samples/sec | ETA 42:08:49 2021-08-22 00:09:16 [INFO] [TRAIN] epoch: 87, iter: 32270/160000, loss: 0.0955, lr: 0.000048, batch_cost: 1.1914, reader_cost: 0.00017, ips: 1.6787 samples/sec | ETA 42:16:16 2021-08-22 00:09:28 [INFO] [TRAIN] epoch: 87, iter: 32280/160000, loss: 0.1008, lr: 0.000048, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6786 samples/sec | ETA 42:16:18 2021-08-22 00:09:40 [INFO] [TRAIN] epoch: 87, iter: 32290/160000, loss: 0.0958, lr: 0.000048, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 42:24:42 2021-08-22 00:09:52 [INFO] [TRAIN] epoch: 87, iter: 32300/160000, loss: 0.0884, lr: 0.000048, batch_cost: 1.1973, reader_cost: 0.00017, ips: 1.6704 samples/sec | ETA 42:28:13 2021-08-22 00:10:04 [INFO] [TRAIN] epoch: 87, iter: 32310/160000, loss: 0.0790, lr: 0.000048, batch_cost: 1.1853, reader_cost: 0.00017, ips: 1.6873 samples/sec | ETA 42:02:30 2021-08-22 00:10:16 [INFO] [TRAIN] epoch: 87, iter: 32320/160000, loss: 0.0815, lr: 0.000048, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6743 samples/sec | ETA 42:21:55 2021-08-22 00:10:28 [INFO] [TRAIN] epoch: 87, iter: 32330/160000, loss: 0.0896, lr: 0.000048, batch_cost: 1.1851, reader_cost: 0.00017, ips: 1.6877 samples/sec | ETA 42:01:38 2021-08-22 00:10:40 [INFO] [TRAIN] epoch: 87, iter: 32340/160000, loss: 0.0791, lr: 0.000048, batch_cost: 1.1819, reader_cost: 0.00017, ips: 1.6921 samples/sec | ETA 41:54:45 2021-08-22 00:10:52 [INFO] [TRAIN] epoch: 87, iter: 32350/160000, loss: 0.0816, lr: 0.000048, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 42:06:47 2021-08-22 00:11:03 [INFO] [TRAIN] epoch: 87, iter: 32360/160000, loss: 0.1001, lr: 0.000048, batch_cost: 1.1884, reader_cost: 0.00014, ips: 1.6829 samples/sec | ETA 42:08:13 2021-08-22 00:11:17 [INFO] [TRAIN] epoch: 88, iter: 32370/160000, loss: 0.1084, lr: 0.000048, batch_cost: 1.4036, reader_cost: 0.16055, ips: 1.4249 samples/sec | ETA 49:45:36 2021-08-22 00:11:29 [INFO] [TRAIN] epoch: 88, iter: 32380/160000, loss: 0.0849, lr: 0.000048, batch_cost: 1.1850, reader_cost: 0.00067, ips: 1.6878 samples/sec | ETA 42:00:27 2021-08-22 00:11:41 [INFO] [TRAIN] epoch: 88, iter: 32390/160000, loss: 0.0782, lr: 0.000048, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6834 samples/sec | ETA 42:06:51 2021-08-22 00:11:53 [INFO] [TRAIN] epoch: 88, iter: 32400/160000, loss: 0.0902, lr: 0.000048, batch_cost: 1.1837, reader_cost: 0.00017, ips: 1.6896 samples/sec | ETA 41:57:25 2021-08-22 00:12:05 [INFO] [TRAIN] epoch: 88, iter: 32410/160000, loss: 0.0744, lr: 0.000048, batch_cost: 1.1847, reader_cost: 0.00017, ips: 1.6882 samples/sec | ETA 41:59:15 2021-08-22 00:12:17 [INFO] [TRAIN] epoch: 88, iter: 32420/160000, loss: 0.0840, lr: 0.000048, batch_cost: 1.1879, reader_cost: 0.00017, ips: 1.6836 samples/sec | ETA 42:05:52 2021-08-22 00:12:29 [INFO] [TRAIN] epoch: 88, iter: 32430/160000, loss: 0.0784, lr: 0.000048, batch_cost: 1.2015, reader_cost: 0.00017, ips: 1.6646 samples/sec | ETA 42:34:30 2021-08-22 00:12:41 [INFO] [TRAIN] epoch: 88, iter: 32440/160000, loss: 0.0937, lr: 0.000048, batch_cost: 1.1965, reader_cost: 0.00016, ips: 1.6715 samples/sec | ETA 42:23:51 2021-08-22 00:12:53 [INFO] [TRAIN] epoch: 88, iter: 32450/160000, loss: 0.0839, lr: 0.000048, batch_cost: 1.1895, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 42:08:43 2021-08-22 00:13:05 [INFO] [TRAIN] epoch: 88, iter: 32460/160000, loss: 0.0946, lr: 0.000048, batch_cost: 1.1958, reader_cost: 0.00017, ips: 1.6725 samples/sec | ETA 42:21:52 2021-08-22 00:13:17 [INFO] [TRAIN] epoch: 88, iter: 32470/160000, loss: 0.0724, lr: 0.000048, batch_cost: 1.1993, reader_cost: 0.00017, ips: 1.6676 samples/sec | ETA 42:29:10 2021-08-22 00:13:29 [INFO] [TRAIN] epoch: 88, iter: 32480/160000, loss: 0.0817, lr: 0.000048, batch_cost: 1.1981, reader_cost: 0.00017, ips: 1.6693 samples/sec | ETA 42:26:24 2021-08-22 00:13:40 [INFO] [TRAIN] epoch: 88, iter: 32490/160000, loss: 0.0853, lr: 0.000048, batch_cost: 1.1875, reader_cost: 0.00018, ips: 1.6842 samples/sec | ETA 42:03:41 2021-08-22 00:13:52 [INFO] [TRAIN] epoch: 88, iter: 32500/160000, loss: 0.0763, lr: 0.000048, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6771 samples/sec | ETA 42:14:03 2021-08-22 00:14:04 [INFO] [TRAIN] epoch: 88, iter: 32510/160000, loss: 0.0871, lr: 0.000048, batch_cost: 1.1951, reader_cost: 0.00018, ips: 1.6736 samples/sec | ETA 42:19:17 2021-08-22 00:14:16 [INFO] [TRAIN] epoch: 88, iter: 32520/160000, loss: 0.0681, lr: 0.000048, batch_cost: 1.2014, reader_cost: 0.00017, ips: 1.6647 samples/sec | ETA 42:32:33 2021-08-22 00:14:28 [INFO] [TRAIN] epoch: 88, iter: 32530/160000, loss: 0.0774, lr: 0.000048, batch_cost: 1.2029, reader_cost: 0.00017, ips: 1.6627 samples/sec | ETA 42:35:29 2021-08-22 00:14:40 [INFO] [TRAIN] epoch: 88, iter: 32540/160000, loss: 0.0837, lr: 0.000048, batch_cost: 1.2015, reader_cost: 0.00018, ips: 1.6645 samples/sec | ETA 42:32:28 2021-08-22 00:14:52 [INFO] [TRAIN] epoch: 88, iter: 32550/160000, loss: 0.0782, lr: 0.000048, batch_cost: 1.1932, reader_cost: 0.00018, ips: 1.6762 samples/sec | ETA 42:14:33 2021-08-22 00:15:04 [INFO] [TRAIN] epoch: 88, iter: 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2021-08-22 00:16:16 [INFO] [TRAIN] epoch: 88, iter: 32620/160000, loss: 0.0937, lr: 0.000048, batch_cost: 1.1883, reader_cost: 0.00017, ips: 1.6831 samples/sec | ETA 42:02:44 2021-08-22 00:16:28 [INFO] [TRAIN] epoch: 88, iter: 32630/160000, loss: 0.0943, lr: 0.000048, batch_cost: 1.1973, reader_cost: 0.00017, ips: 1.6704 samples/sec | ETA 42:21:41 2021-08-22 00:16:40 [INFO] [TRAIN] epoch: 88, iter: 32640/160000, loss: 0.0638, lr: 0.000048, batch_cost: 1.1942, reader_cost: 0.00017, ips: 1.6747 samples/sec | ETA 42:14:56 2021-08-22 00:16:52 [INFO] [TRAIN] epoch: 88, iter: 32650/160000, loss: 0.0927, lr: 0.000048, batch_cost: 1.2032, reader_cost: 0.00019, ips: 1.6622 samples/sec | ETA 42:33:47 2021-08-22 00:17:04 [INFO] [TRAIN] epoch: 88, iter: 32660/160000, loss: 0.0685, lr: 0.000048, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 42:02:18 2021-08-22 00:17:16 [INFO] [TRAIN] epoch: 88, iter: 32670/160000, loss: 0.0834, lr: 0.000048, batch_cost: 1.1930, 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2021-08-22 00:33:15 [INFO] [TRAIN] epoch: 90, iter: 33470/160000, loss: 0.1233, lr: 0.000047, batch_cost: 1.1903, reader_cost: 0.00016, ips: 1.6803 samples/sec | ETA 41:50:07 2021-08-22 00:33:27 [INFO] [TRAIN] epoch: 90, iter: 33480/160000, loss: 0.0977, lr: 0.000047, batch_cost: 1.1647, reader_cost: 0.00012, ips: 1.7171 samples/sec | ETA 40:56:02 2021-08-22 00:33:41 [INFO] [TRAIN] epoch: 91, iter: 33490/160000, loss: 0.0878, lr: 0.000047, batch_cost: 1.3947, reader_cost: 0.18515, ips: 1.4340 samples/sec | ETA 49:00:38 2021-08-22 00:33:53 [INFO] [TRAIN] epoch: 91, iter: 33500/160000, loss: 0.0920, lr: 0.000047, batch_cost: 1.2033, reader_cost: 0.00063, ips: 1.6621 samples/sec | ETA 42:16:53 2021-08-22 00:34:05 [INFO] [TRAIN] epoch: 91, iter: 33510/160000, loss: 0.0809, lr: 0.000047, batch_cost: 1.1946, reader_cost: 0.00017, ips: 1.6742 samples/sec | ETA 41:58:22 2021-08-22 00:34:17 [INFO] [TRAIN] epoch: 91, iter: 33520/160000, loss: 0.0710, lr: 0.000047, batch_cost: 1.2101, 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2021-08-22 01:10:35 [INFO] [TRAIN] epoch: 95, iter: 35340/160000, loss: 0.0657, lr: 0.000047, batch_cost: 1.1642, reader_cost: 0.00012, ips: 1.7179 samples/sec | ETA 40:18:51 2021-08-22 01:10:49 [INFO] [TRAIN] epoch: 96, iter: 35350/160000, loss: 0.0941, lr: 0.000047, batch_cost: 1.4036, reader_cost: 0.17316, ips: 1.4249 samples/sec | ETA 48:35:54 2021-08-22 01:11:01 [INFO] [TRAIN] epoch: 96, iter: 35360/160000, loss: 0.0725, lr: 0.000047, batch_cost: 1.1970, reader_cost: 0.00063, ips: 1.6708 samples/sec | ETA 41:26:33 2021-08-22 01:11:13 [INFO] [TRAIN] epoch: 96, iter: 35370/160000, loss: 0.0738, lr: 0.000047, batch_cost: 1.2005, reader_cost: 0.00017, ips: 1.6660 samples/sec | ETA 41:33:32 2021-08-22 01:11:25 [INFO] [TRAIN] epoch: 96, iter: 35380/160000, loss: 0.0705, lr: 0.000047, batch_cost: 1.1997, reader_cost: 0.00018, ips: 1.6671 samples/sec | ETA 41:31:47 2021-08-22 01:11:37 [INFO] [TRAIN] epoch: 96, iter: 35390/160000, loss: 0.0936, lr: 0.000047, batch_cost: 1.1933, reader_cost: 0.00018, ips: 1.6760 samples/sec | ETA 41:18:18 2021-08-22 01:11:49 [INFO] [TRAIN] epoch: 96, iter: 35400/160000, loss: 0.0710, lr: 0.000047, batch_cost: 1.2017, reader_cost: 0.00017, ips: 1.6644 samples/sec | ETA 41:35:26 2021-08-22 01:12:01 [INFO] [TRAIN] epoch: 96, iter: 35410/160000, loss: 0.0880, lr: 0.000047, batch_cost: 1.1947, reader_cost: 0.00016, ips: 1.6740 samples/sec | ETA 41:20:52 2021-08-22 01:12:13 [INFO] [TRAIN] epoch: 96, iter: 35420/160000, loss: 0.0850, lr: 0.000047, batch_cost: 1.2011, reader_cost: 0.00016, ips: 1.6651 samples/sec | ETA 41:33:52 2021-08-22 01:12:25 [INFO] [TRAIN] epoch: 96, iter: 35430/160000, loss: 0.0992, lr: 0.000047, batch_cost: 1.1982, reader_cost: 0.00016, ips: 1.6692 samples/sec | ETA 41:27:39 2021-08-22 01:12:37 [INFO] [TRAIN] epoch: 96, iter: 35440/160000, loss: 0.0888, lr: 0.000047, batch_cost: 1.1858, reader_cost: 0.00017, ips: 1.6866 samples/sec | ETA 41:01:41 2021-08-22 01:12:49 [INFO] [TRAIN] epoch: 96, iter: 35450/160000, loss: 0.1032, lr: 0.000047, batch_cost: 1.1997, reader_cost: 0.00017, ips: 1.6671 samples/sec | ETA 41:30:19 2021-08-22 01:13:00 [INFO] [TRAIN] epoch: 96, iter: 35460/160000, loss: 0.0817, lr: 0.000047, batch_cost: 1.1843, reader_cost: 0.00017, ips: 1.6887 samples/sec | ETA 40:58:18 2021-08-22 01:13:12 [INFO] [TRAIN] epoch: 96, iter: 35470/160000, loss: 0.0736, lr: 0.000047, batch_cost: 1.1968, reader_cost: 0.00018, ips: 1.6711 samples/sec | ETA 41:24:03 2021-08-22 01:13:24 [INFO] [TRAIN] epoch: 96, iter: 35480/160000, loss: 0.0924, lr: 0.000047, batch_cost: 1.1975, reader_cost: 0.00018, ips: 1.6702 samples/sec | ETA 41:25:08 2021-08-22 01:13:36 [INFO] [TRAIN] epoch: 96, iter: 35490/160000, loss: 0.0809, lr: 0.000047, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6806 samples/sec | ETA 41:09:34 2021-08-22 01:13:48 [INFO] [TRAIN] epoch: 96, iter: 35500/160000, loss: 0.0770, lr: 0.000047, batch_cost: 1.1951, reader_cost: 0.00018, ips: 1.6734 samples/sec | ETA 41:19:54 2021-08-22 01:14:00 [INFO] [TRAIN] epoch: 96, iter: 35510/160000, loss: 0.0781, lr: 0.000047, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6829 samples/sec | ETA 41:05:46 2021-08-22 01:14:12 [INFO] [TRAIN] epoch: 96, iter: 35520/160000, loss: 0.0681, lr: 0.000047, batch_cost: 1.1989, reader_cost: 0.00018, ips: 1.6682 samples/sec | ETA 41:27:16 2021-08-22 01:14:24 [INFO] [TRAIN] epoch: 96, iter: 35530/160000, loss: 0.0929, lr: 0.000047, batch_cost: 1.1832, reader_cost: 0.00017, ips: 1.6903 samples/sec | ETA 40:54:38 2021-08-22 01:14:36 [INFO] [TRAIN] epoch: 96, iter: 35540/160000, loss: 0.0925, lr: 0.000047, batch_cost: 1.1829, reader_cost: 0.00017, ips: 1.6907 samples/sec | ETA 40:53:48 2021-08-22 01:14:48 [INFO] [TRAIN] epoch: 96, iter: 35550/160000, loss: 0.0816, lr: 0.000047, batch_cost: 1.1918, reader_cost: 0.00018, ips: 1.6781 samples/sec | ETA 41:12:01 2021-08-22 01:15:00 [INFO] [TRAIN] epoch: 96, iter: 35560/160000, loss: 0.0749, lr: 0.000047, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6801 samples/sec | ETA 41:08:53 2021-08-22 01:15:11 [INFO] [TRAIN] epoch: 96, iter: 35570/160000, loss: 0.0879, lr: 0.000047, batch_cost: 1.1874, reader_cost: 0.00018, ips: 1.6843 samples/sec | ETA 41:02:28 2021-08-22 01:15:23 [INFO] [TRAIN] epoch: 96, iter: 35580/160000, loss: 0.0978, lr: 0.000047, batch_cost: 1.1942, reader_cost: 0.00017, ips: 1.6747 samples/sec | ETA 41:16:27 2021-08-22 01:15:35 [INFO] [TRAIN] epoch: 96, iter: 35590/160000, loss: 0.0866, lr: 0.000047, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6745 samples/sec | ETA 41:16:29 2021-08-22 01:15:47 [INFO] [TRAIN] epoch: 96, iter: 35600/160000, loss: 0.0824, lr: 0.000047, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6780 samples/sec | ETA 41:11:15 2021-08-22 01:15:59 [INFO] [TRAIN] epoch: 96, iter: 35610/160000, loss: 0.0830, lr: 0.000047, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 41:13:26 2021-08-22 01:16:11 [INFO] [TRAIN] epoch: 96, iter: 35620/160000, loss: 0.0716, lr: 0.000047, batch_cost: 1.1951, reader_cost: 0.00016, ips: 1.6735 samples/sec | ETA 41:17:22 2021-08-22 01:16:23 [INFO] [TRAIN] epoch: 96, iter: 35630/160000, loss: 0.0971, lr: 0.000047, batch_cost: 1.1833, reader_cost: 0.00016, ips: 1.6902 samples/sec | ETA 40:52:42 2021-08-22 01:16:35 [INFO] [TRAIN] epoch: 96, iter: 35640/160000, loss: 0.0867, lr: 0.000047, batch_cost: 1.1941, reader_cost: 0.00016, ips: 1.6750 samples/sec | ETA 41:14:53 2021-08-22 01:16:47 [INFO] [TRAIN] epoch: 96, iter: 35650/160000, loss: 0.0860, lr: 0.000047, batch_cost: 1.1974, reader_cost: 0.00016, ips: 1.6703 samples/sec | ETA 41:21:35 2021-08-22 01:16:59 [INFO] [TRAIN] epoch: 96, iter: 35660/160000, loss: 0.0753, lr: 0.000047, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 41:07:01 2021-08-22 01:17:11 [INFO] [TRAIN] epoch: 96, iter: 35670/160000, loss: 0.0846, lr: 0.000047, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 41:12:21 2021-08-22 01:17:22 [INFO] [TRAIN] epoch: 96, iter: 35680/160000, loss: 0.0718, lr: 0.000047, batch_cost: 1.1810, reader_cost: 0.00017, ips: 1.6935 samples/sec | ETA 40:46:57 2021-08-22 01:17:34 [INFO] [TRAIN] epoch: 96, iter: 35690/160000, loss: 0.0764, lr: 0.000047, batch_cost: 1.1813, reader_cost: 0.00017, ips: 1.6930 samples/sec | ETA 40:47:33 2021-08-22 01:17:46 [INFO] [TRAIN] epoch: 96, iter: 35700/160000, loss: 0.0690, lr: 0.000047, batch_cost: 1.1833, reader_cost: 0.00017, ips: 1.6901 samples/sec | ETA 40:51:28 2021-08-22 01:17:58 [INFO] [TRAIN] epoch: 96, iter: 35710/160000, loss: 0.0819, lr: 0.000047, batch_cost: 1.1630, reader_cost: 0.00012, ips: 1.7196 samples/sec | ETA 40:09:15 2021-08-22 01:18:12 [INFO] [TRAIN] epoch: 97, iter: 35720/160000, loss: 0.0750, lr: 0.000047, batch_cost: 1.3922, reader_cost: 0.16993, ips: 1.4366 samples/sec | ETA 48:03:40 2021-08-22 01:18:24 [INFO] [TRAIN] epoch: 97, iter: 35730/160000, loss: 0.0745, lr: 0.000047, batch_cost: 1.1875, reader_cost: 0.00067, ips: 1.6843 samples/sec | ETA 40:59:25 2021-08-22 01:18:35 [INFO] [TRAIN] epoch: 97, iter: 35740/160000, loss: 0.1074, lr: 0.000047, batch_cost: 1.1860, reader_cost: 0.00016, ips: 1.6864 samples/sec | ETA 40:56:08 2021-08-22 01:18:47 [INFO] [TRAIN] epoch: 97, iter: 35750/160000, loss: 0.0878, lr: 0.000047, batch_cost: 1.1980, reader_cost: 0.00018, ips: 1.6695 samples/sec | ETA 41:20:46 2021-08-22 01:18:59 [INFO] [TRAIN] epoch: 97, iter: 35760/160000, loss: 0.0853, lr: 0.000047, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6834 samples/sec | ETA 41:00:04 2021-08-22 01:19:11 [INFO] [TRAIN] epoch: 97, iter: 35770/160000, loss: 0.0842, lr: 0.000047, batch_cost: 1.1952, reader_cost: 0.00017, ips: 1.6734 samples/sec | ETA 41:14:37 2021-08-22 01:19:23 [INFO] [TRAIN] epoch: 97, iter: 35780/160000, loss: 0.0807, lr: 0.000047, batch_cost: 1.1890, reader_cost: 0.00018, ips: 1.6820 samples/sec | ETA 41:01:41 2021-08-22 01:19:35 [INFO] [TRAIN] epoch: 97, iter: 35790/160000, loss: 0.0694, lr: 0.000047, batch_cost: 1.1949, reader_cost: 0.00017, ips: 1.6737 samples/sec | ETA 41:13:41 2021-08-22 01:19:47 [INFO] [TRAIN] epoch: 97, iter: 35800/160000, loss: 0.0688, lr: 0.000047, batch_cost: 1.1873, reader_cost: 0.00018, ips: 1.6845 samples/sec | ETA 40:57:38 2021-08-22 01:19:59 [INFO] [TRAIN] epoch: 97, iter: 35810/160000, loss: 0.0716, lr: 0.000047, batch_cost: 1.1867, reader_cost: 0.00018, ips: 1.6854 samples/sec | ETA 40:56:12 2021-08-22 01:20:11 [INFO] [TRAIN] epoch: 97, iter: 35820/160000, loss: 0.0687, lr: 0.000047, batch_cost: 1.1907, reader_cost: 0.00018, ips: 1.6797 samples/sec | ETA 41:04:16 2021-08-22 01:20:23 [INFO] [TRAIN] epoch: 97, iter: 35830/160000, loss: 0.0635, lr: 0.000047, batch_cost: 1.1944, reader_cost: 0.00018, ips: 1.6744 samples/sec | ETA 41:11:51 2021-08-22 01:20:35 [INFO] [TRAIN] epoch: 97, iter: 35840/160000, loss: 0.0736, lr: 0.000047, batch_cost: 1.1946, reader_cost: 0.00018, ips: 1.6742 samples/sec | ETA 41:12:02 2021-08-22 01:20:47 [INFO] [TRAIN] epoch: 97, iter: 35850/160000, loss: 0.0817, lr: 0.000047, batch_cost: 1.1948, reader_cost: 0.00018, ips: 1.6739 samples/sec | ETA 41:12:19 2021-08-22 01:20:59 [INFO] [TRAIN] epoch: 97, iter: 35860/160000, loss: 0.0798, lr: 0.000047, batch_cost: 1.1946, reader_cost: 0.00016, ips: 1.6741 samples/sec | ETA 41:11:43 2021-08-22 01:21:10 [INFO] [TRAIN] epoch: 97, iter: 35870/160000, loss: 0.0589, lr: 0.000047, batch_cost: 1.1930, reader_cost: 0.00016, ips: 1.6765 samples/sec | ETA 41:08:06 2021-08-22 01:21:22 [INFO] [TRAIN] epoch: 97, iter: 35880/160000, loss: 0.1105, lr: 0.000047, batch_cost: 1.1935, reader_cost: 0.00017, ips: 1.6757 samples/sec | ETA 41:09:00 2021-08-22 01:21:34 [INFO] [TRAIN] epoch: 97, iter: 35890/160000, loss: 0.0818, lr: 0.000047, batch_cost: 1.1910, reader_cost: 0.00016, ips: 1.6793 samples/sec | ETA 41:03:34 2021-08-22 01:21:46 [INFO] [TRAIN] epoch: 97, iter: 35900/160000, loss: 0.0988, lr: 0.000047, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6772 samples/sec | ETA 41:06:22 2021-08-22 01:21:58 [INFO] [TRAIN] epoch: 97, iter: 35910/160000, loss: 0.0871, lr: 0.000047, batch_cost: 1.1982, reader_cost: 0.00017, ips: 1.6692 samples/sec | ETA 41:18:01 2021-08-22 01:22:10 [INFO] [TRAIN] epoch: 97, iter: 35920/160000, loss: 0.0751, lr: 0.000047, batch_cost: 1.1967, reader_cost: 0.00017, ips: 1.6713 samples/sec | ETA 41:14:44 2021-08-22 01:22:22 [INFO] [TRAIN] epoch: 97, iter: 35930/160000, loss: 0.0729, lr: 0.000047, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 41:08:27 2021-08-22 01:22:34 [INFO] [TRAIN] epoch: 97, iter: 35940/160000, loss: 0.0835, lr: 0.000047, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6816 samples/sec | ETA 40:59:13 2021-08-22 01:22:46 [INFO] [TRAIN] epoch: 97, iter: 35950/160000, loss: 0.0834, lr: 0.000047, batch_cost: 1.1822, reader_cost: 0.00017, ips: 1.6917 samples/sec | ETA 40:44:16 2021-08-22 01:22:58 [INFO] [TRAIN] epoch: 97, iter: 35960/160000, loss: 0.0836, lr: 0.000047, batch_cost: 1.1850, reader_cost: 0.00017, ips: 1.6878 samples/sec | ETA 40:49:45 2021-08-22 01:23:09 [INFO] [TRAIN] epoch: 97, iter: 35970/160000, loss: 0.0841, lr: 0.000047, batch_cost: 1.1814, reader_cost: 0.00017, ips: 1.6930 samples/sec | ETA 40:42:02 2021-08-22 01:23:21 [INFO] [TRAIN] epoch: 97, iter: 35980/160000, loss: 0.0610, lr: 0.000047, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6769 samples/sec | ETA 41:05:15 2021-08-22 01:23:33 [INFO] [TRAIN] epoch: 97, iter: 35990/160000, loss: 0.0838, lr: 0.000047, batch_cost: 1.1892, reader_cost: 0.00017, ips: 1.6818 samples/sec | ETA 40:57:56 2021-08-22 01:23:45 [INFO] [TRAIN] epoch: 97, iter: 36000/160000, loss: 0.0680, lr: 0.000047, batch_cost: 1.1996, reader_cost: 0.00017, ips: 1.6672 samples/sec | ETA 41:19:13 2021-08-22 01:23:45 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:44 - batch_cost: 2.2928 - reader cost: 0.3690 2/125 [..............................] - ETA: 4:12 - batch_cost: 2.0532 - reader cost: 0.1846 3/125 [..............................] - ETA: 4:00 - batch_cost: 1.9711 - reader cost: 0.1231 4/125 [..............................] - ETA: 3:53 - batch_cost: 1.9301 - reader cost: 0.0924 5/125 [>.............................] - ETA: 3:48 - batch_cost: 1.9051 - reader cost: 0.0739 6/125 [>.............................] - ETA: 3:44 - batch_cost: 1.8893 - reader cost: 0.0616 7/125 [>.............................] - ETA: 3:41 - batch_cost: 1.8796 - reader cost: 0.0529 8/125 [>.............................] - ETA: 3:38 - batch_cost: 1.8708 - reader cost: 0.0463 9/125 [=>............................] - ETA: 3:36 - batch_cost: 1.8643 - reader cost: 0.0411 10/125 [=>............................] - ETA: 3:34 - batch_cost: 1.8615 - reader cost: 0.0370 11/125 [=>............................] - ETA: 3:31 - batch_cost: 1.8570 - reader cost: 0.0337 12/125 [=>............................] - ETA: 3:29 - batch_cost: 1.8533 - reader cost: 0.0309 13/125 [==>...........................] - ETA: 3:27 - batch_cost: 1.8502 - reader cost: 0.0285 14/125 [==>...........................] - ETA: 3:25 - batch_cost: 1.8494 - reader cost: 0.0265 15/125 [==>...........................] - ETA: 3:23 - batch_cost: 1.8482 - reader cost: 0.0248 16/125 [==>...........................] - ETA: 3:21 - batch_cost: 1.8463 - reader cost: 0.0232 17/125 [===>..........................] - ETA: 3:19 - batch_cost: 1.8461 - reader cost: 0.0219 18/125 [===>..........................] - ETA: 3:17 - batch_cost: 1.8455 - reader cost: 0.0207 19/125 [===>..........................] - ETA: 3:15 - batch_cost: 1.8438 - reader cost: 0.0196 20/125 [===>..........................] - ETA: 3:13 - batch_cost: 1.8419 - reader cost: 0.0186 21/125 [====>.........................] - ETA: 3:11 - batch_cost: 1.8405 - reader cost: 0.0177 22/125 [====>.........................] - ETA: 3:09 - batch_cost: 1.8390 - reader cost: 0.0169 23/125 [====>.........................] - ETA: 3:07 - batch_cost: 1.8381 - reader cost: 0.0162 24/125 [====>.........................] - ETA: 3:05 - batch_cost: 1.8368 - reader cost: 0.0155 25/125 [=====>........................] - ETA: 3:03 - batch_cost: 1.8361 - reader cost: 0.0149 26/125 [=====>........................] - ETA: 3:01 - batch_cost: 1.8349 - reader cost: 0.0144 27/125 [=====>........................] - ETA: 2:59 - batch_cost: 1.8340 - reader cost: 0.0138 28/125 [=====>........................] - ETA: 2:57 - batch_cost: 1.8330 - reader cost: 0.0133 29/125 [=====>........................] - ETA: 2:55 - batch_cost: 1.8320 - reader cost: 0.0129 30/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8313 - reader cost: 0.0125 31/125 [======>.......................] - ETA: 2:52 - batch_cost: 1.8308 - reader cost: 0.0121 32/125 [======>.......................] - ETA: 2:50 - batch_cost: 1.8302 - reader cost: 0.0117 33/125 [======>.......................] - ETA: 2:48 - batch_cost: 1.8297 - reader cost: 0.0113 34/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8295 - reader cost: 0.0110 35/125 [=======>......................] - ETA: 2:44 - batch_cost: 1.8289 - reader cost: 0.0107 36/125 [=======>......................] - ETA: 2:42 - batch_cost: 1.8287 - reader cost: 0.0104 37/125 [=======>......................] - ETA: 2:40 - batch_cost: 1.8281 - reader cost: 0.0101 38/125 [========>.....................] - ETA: 2:39 - batch_cost: 1.8277 - reader cost: 0.0099 39/125 [========>.....................] - ETA: 2:37 - batch_cost: 1.8270 - reader cost: 0.0096 40/125 [========>.....................] - ETA: 2:35 - batch_cost: 1.8266 - reader cost: 0.0094 41/125 [========>.....................] - ETA: 2:33 - batch_cost: 1.8267 - reader cost: 0.0092 42/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8262 - reader cost: 0.0089 43/125 [=========>....................] - ETA: 2:29 - batch_cost: 1.8257 - reader cost: 0.0087 44/125 [=========>....................] - ETA: 2:27 - batch_cost: 1.8258 - reader cost: 0.0086 45/125 [=========>....................] - ETA: 2:26 - batch_cost: 1.8259 - reader cost: 0.0084 46/125 [==========>...................] - ETA: 2:24 - batch_cost: 1.8256 - reader cost: 0.0082 47/125 [==========>...................] - ETA: 2:22 - batch_cost: 1.8252 - reader cost: 0.0080 48/125 [==========>...................] - ETA: 2:20 - batch_cost: 1.8252 - reader cost: 0.0079 49/125 [==========>...................] - ETA: 2:18 - batch_cost: 1.8252 - reader cost: 0.0077 50/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8249 - reader cost: 0.0075 51/125 [===========>..................] - ETA: 2:15 - batch_cost: 1.8246 - reader cost: 0.0074 52/125 [===========>..................] - ETA: 2:13 - batch_cost: 1.8242 - reader cost: 0.0073 53/125 [===========>..................] - ETA: 2:11 - batch_cost: 1.8239 - reader cost: 0.0071 54/125 [===========>..................] - ETA: 2:09 - batch_cost: 1.8237 - reader cost: 0.0070 55/125 [============>.................] - ETA: 2:07 - batch_cost: 1.8236 - reader cost: 0.0069 56/125 [============>.................] - ETA: 2:05 - batch_cost: 1.8236 - reader cost: 0.0068 57/125 [============>.................] - ETA: 2:03 - batch_cost: 1.8231 - reader cost: 0.0066 58/125 [============>.................] - ETA: 2:02 - batch_cost: 1.8229 - reader cost: 0.0065 59/125 [=============>................] - ETA: 2:00 - batch_cost: 1.8225 - reader cost: 0.0064 60/125 [=============>................] - ETA: 1:58 - batch_cost: 1.8225 - reader cost: 0.0063 61/125 [=============>................] - ETA: 1:56 - batch_cost: 1.8226 - reader cost: 0.0062 62/125 [=============>................] - ETA: 1:54 - batch_cost: 1.8226 - reader cost: 0.0061 63/125 [==============>...............] - ETA: 1:53 - batch_cost: 1.8225 - reader cost: 0.0060 64/125 [==============>...............] - ETA: 1:51 - batch_cost: 1.8223 - reader cost: 0.0059 65/125 [==============>...............] - ETA: 1:49 - batch_cost: 1.8220 - reader cost: 0.0058 66/125 [==============>...............] - ETA: 1:47 - batch_cost: 1.8219 - reader cost: 0.0058 67/125 [===============>..............] - ETA: 1:45 - batch_cost: 1.8217 - reader cost: 0.0057 68/125 [===============>..............] - ETA: 1:43 - batch_cost: 1.8213 - reader cost: 0.0056 69/125 [===============>..............] - ETA: 1:41 - batch_cost: 1.8210 - reader cost: 0.0055 70/125 [===============>..............] - ETA: 1:40 - batch_cost: 1.8210 - reader cost: 0.0054 71/125 [================>.............] - ETA: 1:38 - batch_cost: 1.8208 - reader cost: 0.0054 72/125 [================>.............] - ETA: 1:36 - batch_cost: 1.8207 - reader cost: 0.0053 73/125 [================>.............] - ETA: 1:34 - batch_cost: 1.8206 - reader cost: 0.0052 74/125 [================>.............] - ETA: 1:32 - batch_cost: 1.8205 - reader cost: 0.0052 75/125 [=================>............] - ETA: 1:31 - 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[===================>..........] - ETA: 1:11 - batch_cost: 1.8223 - reader cost: 0.0045 87/125 [===================>..........] - ETA: 1:09 - batch_cost: 1.8224 - reader cost: 0.0044 88/125 [====================>.........] - ETA: 1:07 - batch_cost: 1.8226 - reader cost: 0.0044 89/125 [====================>.........] - ETA: 1:05 - batch_cost: 1.8229 - reader cost: 0.0043 90/125 [====================>.........] - ETA: 1:03 - batch_cost: 1.8232 - reader cost: 0.0043 91/125 [====================>.........] - ETA: 1:02 - batch_cost: 1.8234 - reader cost: 0.0042 92/125 [=====================>........] - ETA: 1:00 - batch_cost: 1.8236 - reader cost: 0.0042 93/125 [=====================>........] - ETA: 58s - batch_cost: 1.8239 - reader cost: 0.0041  94/125 [=====================>........] - ETA: 56s - batch_cost: 1.8243 - reader cost: 0.0041 95/125 [=====================>........] - ETA: 54s - batch_cost: 1.8244 - reader cost: 0.0040 96/125 [======================>.......] - ETA: 52s - 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[========================>.....] - ETA: 32s - batch_cost: 1.8277 - reader cost: 0.0036 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8280 - reader cost: 0.0036 109/125 [=========================>....] - ETA: 29s - batch_cost: 1.8282 - reader cost: 0.0036 110/125 [=========================>....] - ETA: 27s - batch_cost: 1.8283 - reader cost: 0.0035 111/125 [=========================>....] - ETA: 25s - batch_cost: 1.8285 - reader cost: 0.0035 112/125 [=========================>....] - ETA: 23s - batch_cost: 1.8287 - reader cost: 0.0035 113/125 [==========================>...] - ETA: 21s - batch_cost: 1.8290 - reader cost: 0.0034 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8291 - reader cost: 0.0034 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8294 - reader cost: 0.0034 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8295 - reader cost: 0.0033 117/125 [===========================>..] - ETA: 14s - batch_cost: 1.8295 - reader cost: 0.0033 118/125 [===========================>..] - ETA: 12s - batch_cost: 1.8298 - reader cost: 0.0033 119/125 [===========================>..] - ETA: 10s - batch_cost: 1.8300 - reader cost: 0.0033 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8303 - reader cost: 0.0032  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8304 - reader cost: 0.0032 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8309 - reader cost: 0.0032 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8309 - reader cost: 0.0032 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8311 - reader cost: 0.0031 125/125 [==============================] - 229s 2s/step - batch_cost: 1.8313 - reader cost: 0.0031 2021-08-22 01:27:34 [INFO] [EVAL] #Images: 500 mIoU: 0.8059 Acc: 0.9648 Kappa: 0.9543 2021-08-22 01:27:34 [INFO] [EVAL] Class IoU: [0.9843 0.8702 0.9305 0.5789 0.6413 0.6723 0.7321 0.8044 0.9299 0.67 0.953 0.834 0.6472 0.9561 0.8765 0.905 0.8413 0.6972 0.7877] 2021-08-22 01:27:34 [INFO] [EVAL] Class Acc: [0.9922 0.9328 0.9619 0.9072 0.8121 0.8243 0.8312 0.8946 0.9556 0.8674 0.9713 0.9023 0.754 0.9749 0.9466 0.9626 0.9137 0.8307 0.8601] 2021-08-22 01:27:38 [INFO] [EVAL] The model with the best validation mIoU (0.8059) was saved at iter 36000. 2021-08-22 01:27:49 [INFO] [TRAIN] epoch: 97, iter: 36010/160000, loss: 0.1122, lr: 0.000046, batch_cost: 1.1852, reader_cost: 0.00018, ips: 1.6875 samples/sec | ETA 40:49:12 2021-08-22 01:28:01 [INFO] [TRAIN] epoch: 97, iter: 36020/160000, loss: 0.0722, lr: 0.000046, batch_cost: 1.1980, reader_cost: 0.00018, ips: 1.6694 samples/sec | ETA 41:15:32 2021-08-22 01:28:13 [INFO] [TRAIN] epoch: 97, iter: 36030/160000, loss: 0.0855, lr: 0.000046, batch_cost: 1.1908, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 41:00:26 2021-08-22 01:28:25 [INFO] [TRAIN] epoch: 97, iter: 36040/160000, loss: 0.0696, lr: 0.000046, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6784 samples/sec | ETA 41:01:54 2021-08-22 01:28:37 [INFO] [TRAIN] epoch: 97, iter: 36050/160000, loss: 0.0793, lr: 0.000046, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 41:00:32 2021-08-22 01:28:49 [INFO] [TRAIN] epoch: 97, iter: 36060/160000, loss: 0.1007, lr: 0.000046, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 41:01:20 2021-08-22 01:29:01 [INFO] [TRAIN] epoch: 97, iter: 36070/160000, loss: 0.0693, lr: 0.000046, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6809 samples/sec | ETA 40:57:40 2021-08-22 01:29:13 [INFO] [TRAIN] epoch: 97, iter: 36080/160000, loss: 0.0793, lr: 0.000046, batch_cost: 1.1721, reader_cost: 0.00059, ips: 1.7063 samples/sec | ETA 40:20:52 2021-08-22 01:29:27 [INFO] [TRAIN] epoch: 98, iter: 36090/160000, loss: 0.0658, lr: 0.000046, batch_cost: 1.3809, reader_cost: 0.15950, ips: 1.4483 samples/sec | ETA 47:31:45 2021-08-22 01:29:38 [INFO] [TRAIN] epoch: 98, iter: 36100/160000, loss: 0.0848, lr: 0.000046, batch_cost: 1.1929, reader_cost: 0.00067, ips: 1.6765 samples/sec | ETA 41:03:24 2021-08-22 01:29:50 [INFO] [TRAIN] epoch: 98, iter: 36110/160000, loss: 0.0786, lr: 0.000046, batch_cost: 1.1935, reader_cost: 0.00016, ips: 1.6757 samples/sec | ETA 41:04:23 2021-08-22 01:30:02 [INFO] [TRAIN] epoch: 98, iter: 36120/160000, loss: 0.0866, lr: 0.000046, batch_cost: 1.1921, reader_cost: 0.00016, ips: 1.6778 samples/sec | ETA 41:01:13 2021-08-22 01:30:14 [INFO] [TRAIN] epoch: 98, iter: 36130/160000, loss: 0.0666, lr: 0.000046, batch_cost: 1.1926, reader_cost: 0.00016, ips: 1.6770 samples/sec | ETA 41:02:10 2021-08-22 01:30:26 [INFO] [TRAIN] epoch: 98, iter: 36140/160000, loss: 0.0842, lr: 0.000046, batch_cost: 1.1962, reader_cost: 0.00016, ips: 1.6720 samples/sec | ETA 41:09:20 2021-08-22 01:30:38 [INFO] [TRAIN] epoch: 98, iter: 36150/160000, loss: 0.0893, lr: 0.000046, batch_cost: 1.1859, reader_cost: 0.00016, ips: 1.6865 samples/sec | ETA 40:47:49 2021-08-22 01:30:50 [INFO] [TRAIN] epoch: 98, iter: 36160/160000, loss: 0.0829, lr: 0.000046, batch_cost: 1.1904, reader_cost: 0.00016, ips: 1.6802 samples/sec | ETA 40:56:53 2021-08-22 01:31:02 [INFO] [TRAIN] epoch: 98, iter: 36170/160000, loss: 0.0934, lr: 0.000046, batch_cost: 1.1921, reader_cost: 0.00016, ips: 1.6777 samples/sec | ETA 41:00:15 2021-08-22 01:31:14 [INFO] [TRAIN] epoch: 98, iter: 36180/160000, loss: 0.0950, lr: 0.000046, batch_cost: 1.1870, reader_cost: 0.00016, ips: 1.6849 samples/sec | ETA 40:49:38 2021-08-22 01:31:26 [INFO] [TRAIN] epoch: 98, iter: 36190/160000, loss: 0.0741, lr: 0.000046, batch_cost: 1.1937, reader_cost: 0.00016, ips: 1.6755 samples/sec | ETA 41:03:11 2021-08-22 01:31:38 [INFO] [TRAIN] epoch: 98, iter: 36200/160000, loss: 0.0888, lr: 0.000046, batch_cost: 1.1872, reader_cost: 0.00017, ips: 1.6847 samples/sec | ETA 40:49:30 2021-08-22 01:31:49 [INFO] [TRAIN] epoch: 98, iter: 36210/160000, loss: 0.0611, lr: 0.000046, batch_cost: 1.1867, reader_cost: 0.00016, ips: 1.6853 samples/sec | ETA 40:48:27 2021-08-22 01:32:01 [INFO] [TRAIN] epoch: 98, iter: 36220/160000, loss: 0.0793, lr: 0.000046, batch_cost: 1.1865, reader_cost: 0.00017, ips: 1.6856 samples/sec | ETA 40:47:50 2021-08-22 01:32:13 [INFO] [TRAIN] epoch: 98, iter: 36230/160000, loss: 0.0757, lr: 0.000046, batch_cost: 1.1892, reader_cost: 0.00016, ips: 1.6818 samples/sec | ETA 40:53:06 2021-08-22 01:32:25 [INFO] [TRAIN] epoch: 98, iter: 36240/160000, loss: 0.0854, lr: 0.000046, batch_cost: 1.1884, reader_cost: 0.00016, ips: 1.6829 samples/sec | ETA 40:51:21 2021-08-22 01:32:37 [INFO] [TRAIN] epoch: 98, iter: 36250/160000, loss: 0.0958, lr: 0.000046, batch_cost: 1.1894, reader_cost: 0.00018, ips: 1.6815 samples/sec | ETA 40:53:11 2021-08-22 01:32:49 [INFO] [TRAIN] epoch: 98, iter: 36260/160000, loss: 0.0783, lr: 0.000046, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 41:00:25 2021-08-22 01:33:01 [INFO] [TRAIN] epoch: 98, iter: 36270/160000, loss: 0.0904, lr: 0.000046, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6803 samples/sec | ETA 40:54:34 2021-08-22 01:33:13 [INFO] [TRAIN] epoch: 98, iter: 36280/160000, loss: 0.0827, lr: 0.000046, batch_cost: 1.1992, reader_cost: 0.00017, ips: 1.6678 samples/sec | ETA 41:12:40 2021-08-22 01:33:25 [INFO] [TRAIN] epoch: 98, iter: 36290/160000, loss: 0.0847, lr: 0.000046, batch_cost: 1.1899, reader_cost: 0.00016, ips: 1.6808 samples/sec | ETA 40:53:23 2021-08-22 01:33:37 [INFO] [TRAIN] epoch: 98, iter: 36300/160000, loss: 0.0861, lr: 0.000046, batch_cost: 1.1970, reader_cost: 0.00017, ips: 1.6709 samples/sec | ETA 41:07:43 2021-08-22 01:33:49 [INFO] [TRAIN] epoch: 98, iter: 36310/160000, loss: 0.0930, lr: 0.000046, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6791 samples/sec | ETA 40:55:28 2021-08-22 01:34:01 [INFO] [TRAIN] epoch: 98, iter: 36320/160000, loss: 0.1004, lr: 0.000046, batch_cost: 1.2089, reader_cost: 0.00017, ips: 1.6544 samples/sec | ETA 41:31:53 2021-08-22 01:34:13 [INFO] [TRAIN] epoch: 98, iter: 36330/160000, loss: 0.0839, lr: 0.000046, batch_cost: 1.2042, reader_cost: 0.00016, ips: 1.6608 samples/sec | ETA 41:22:03 2021-08-22 01:34:25 [INFO] [TRAIN] epoch: 98, iter: 36340/160000, loss: 0.0966, lr: 0.000046, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 40:56:40 2021-08-22 01:34:37 [INFO] [TRAIN] epoch: 98, iter: 36350/160000, loss: 0.0832, lr: 0.000046, batch_cost: 1.1863, reader_cost: 0.00017, ips: 1.6859 samples/sec | ETA 40:44:50 2021-08-22 01:34:48 [INFO] [TRAIN] epoch: 98, iter: 36360/160000, loss: 0.0871, lr: 0.000046, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 40:48:25 2021-08-22 01:35:00 [INFO] [TRAIN] epoch: 98, iter: 36370/160000, loss: 0.0774, lr: 0.000046, batch_cost: 1.1845, reader_cost: 0.00017, ips: 1.6885 samples/sec | ETA 40:40:40 2021-08-22 01:35:12 [INFO] [TRAIN] epoch: 98, iter: 36380/160000, loss: 0.0856, lr: 0.000046, batch_cost: 1.1870, reader_cost: 0.00017, ips: 1.6849 samples/sec | ETA 40:45:35 2021-08-22 01:35:24 [INFO] [TRAIN] epoch: 98, iter: 36390/160000, loss: 0.0666, lr: 0.000046, batch_cost: 1.1916, reader_cost: 0.00016, ips: 1.6784 samples/sec | ETA 40:54:52 2021-08-22 01:35:36 [INFO] [TRAIN] epoch: 98, iter: 36400/160000, loss: 0.0960, lr: 0.000046, batch_cost: 1.1892, reader_cost: 0.00017, ips: 1.6819 samples/sec | ETA 40:49:39 2021-08-22 01:35:48 [INFO] [TRAIN] epoch: 98, iter: 36410/160000, loss: 0.0783, lr: 0.000046, batch_cost: 1.1995, reader_cost: 0.00018, ips: 1.6674 samples/sec | ETA 41:10:44 2021-08-22 01:36:00 [INFO] [TRAIN] epoch: 98, iter: 36420/160000, loss: 0.0747, lr: 0.000046, batch_cost: 1.1978, reader_cost: 0.00017, ips: 1.6697 samples/sec | ETA 41:07:02 2021-08-22 01:36:12 [INFO] [TRAIN] epoch: 98, iter: 36430/160000, loss: 0.0719, lr: 0.000046, batch_cost: 1.1917, reader_cost: 0.00017, ips: 1.6783 samples/sec | ETA 40:54:15 2021-08-22 01:36:24 [INFO] [TRAIN] epoch: 98, iter: 36440/160000, loss: 0.0913, lr: 0.000046, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 40:53:49 2021-08-22 01:36:35 [INFO] [TRAIN] epoch: 98, iter: 36450/160000, loss: 0.0876, lr: 0.000046, batch_cost: 1.1699, reader_cost: 0.00014, ips: 1.7095 samples/sec | ETA 40:09:04 2021-08-22 01:36:49 [INFO] [TRAIN] epoch: 99, iter: 36460/160000, loss: 0.1379, lr: 0.000046, batch_cost: 1.3757, reader_cost: 0.18720, ips: 1.4538 samples/sec | ETA 47:12:29 2021-08-22 01:37:01 [INFO] [TRAIN] epoch: 99, iter: 36470/160000, loss: 0.0988, lr: 0.000046, batch_cost: 1.1901, reader_cost: 0.00066, ips: 1.6805 samples/sec | ETA 40:50:13 2021-08-22 01:37:13 [INFO] [TRAIN] epoch: 99, iter: 36480/160000, loss: 0.0820, lr: 0.000046, batch_cost: 1.2021, reader_cost: 0.00017, ips: 1.6637 samples/sec | ETA 41:14:46 2021-08-22 01:37:25 [INFO] [TRAIN] epoch: 99, iter: 36490/160000, loss: 0.0727, lr: 0.000046, batch_cost: 1.1961, reader_cost: 0.00018, ips: 1.6721 samples/sec | ETA 41:02:06 2021-08-22 01:37:37 [INFO] [TRAIN] epoch: 99, iter: 36500/160000, loss: 0.0661, lr: 0.000046, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6743 samples/sec | ETA 40:58:45 2021-08-22 01:37:49 [INFO] [TRAIN] epoch: 99, iter: 36510/160000, loss: 0.0793, lr: 0.000046, batch_cost: 1.2007, reader_cost: 0.00017, ips: 1.6657 samples/sec | ETA 41:11:17 2021-08-22 01:38:01 [INFO] [TRAIN] epoch: 99, iter: 36520/160000, loss: 0.0922, lr: 0.000046, batch_cost: 1.1888, reader_cost: 0.00017, ips: 1.6824 samples/sec | ETA 40:46:29 2021-08-22 01:38:13 [INFO] [TRAIN] epoch: 99, iter: 36530/160000, loss: 0.0729, lr: 0.000046, batch_cost: 1.1947, reader_cost: 0.00017, ips: 1.6740 samples/sec | ETA 40:58:34 2021-08-22 01:38:25 [INFO] [TRAIN] epoch: 99, iter: 36540/160000, loss: 0.0701, lr: 0.000046, batch_cost: 1.1968, reader_cost: 0.00018, ips: 1.6711 samples/sec | ETA 41:02:36 2021-08-22 01:38:37 [INFO] [TRAIN] epoch: 99, iter: 36550/160000, loss: 0.0939, lr: 0.000046, batch_cost: 1.1899, reader_cost: 0.00016, ips: 1.6808 samples/sec | ETA 40:48:17 2021-08-22 01:38:49 [INFO] [TRAIN] epoch: 99, iter: 36560/160000, loss: 0.0850, lr: 0.000046, batch_cost: 1.1965, reader_cost: 0.00017, ips: 1.6716 samples/sec | ETA 41:01:30 2021-08-22 01:39:01 [INFO] [TRAIN] epoch: 99, iter: 36570/160000, loss: 0.0845, lr: 0.000046, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 40:45:21 2021-08-22 01:39:12 [INFO] [TRAIN] epoch: 99, iter: 36580/160000, loss: 0.0822, lr: 0.000046, batch_cost: 1.1888, reader_cost: 0.00017, ips: 1.6823 samples/sec | ETA 40:45:25 2021-08-22 01:39:24 [INFO] [TRAIN] epoch: 99, iter: 36590/160000, loss: 0.0754, lr: 0.000046, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 40:46:42 2021-08-22 01:39:36 [INFO] [TRAIN] epoch: 99, iter: 36600/160000, loss: 0.0780, lr: 0.000046, batch_cost: 1.1912, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 40:49:57 2021-08-22 01:39:48 [INFO] [TRAIN] epoch: 99, iter: 36610/160000, loss: 0.0755, lr: 0.000046, batch_cost: 1.1957, 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2021-08-22 01:42:12 [INFO] [TRAIN] epoch: 99, iter: 36730/160000, loss: 0.0727, lr: 0.000046, batch_cost: 1.2086, reader_cost: 0.00017, ips: 1.6548 samples/sec | ETA 41:23:00 2021-08-22 01:42:24 [INFO] [TRAIN] epoch: 99, iter: 36740/160000, loss: 0.0775, lr: 0.000046, batch_cost: 1.2148, reader_cost: 0.00016, ips: 1.6464 samples/sec | ETA 41:35:30 2021-08-22 01:42:37 [INFO] [TRAIN] epoch: 99, iter: 36750/160000, loss: 0.0771, lr: 0.000046, batch_cost: 1.2047, reader_cost: 0.00018, ips: 1.6601 samples/sec | ETA 41:14:40 2021-08-22 01:42:49 [INFO] [TRAIN] epoch: 99, iter: 36760/160000, loss: 0.0818, lr: 0.000046, batch_cost: 1.2067, reader_cost: 0.00018, ips: 1.6575 samples/sec | ETA 41:18:28 2021-08-22 01:43:01 [INFO] [TRAIN] epoch: 99, iter: 36770/160000, loss: 0.0750, lr: 0.000046, batch_cost: 1.2218, reader_cost: 0.00018, ips: 1.6369 samples/sec | ETA 41:49:20 2021-08-22 01:43:13 [INFO] [TRAIN] epoch: 99, iter: 36780/160000, loss: 0.0751, lr: 0.000046, batch_cost: 1.2097, 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40:52:38 2021-08-22 01:45:38 [INFO] [TRAIN] epoch: 100, iter: 36900/160000, loss: 0.0670, lr: 0.000046, batch_cost: 1.1976, reader_cost: 0.00018, ips: 1.6699 samples/sec | ETA 40:57:10 2021-08-22 01:45:50 [INFO] [TRAIN] epoch: 100, iter: 36910/160000, loss: 0.0817, lr: 0.000046, batch_cost: 1.1971, reader_cost: 0.00018, ips: 1.6707 samples/sec | ETA 40:55:52 2021-08-22 01:46:02 [INFO] [TRAIN] epoch: 100, iter: 36920/160000, loss: 0.0775, lr: 0.000046, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6805 samples/sec | ETA 40:41:22 2021-08-22 01:46:14 [INFO] [TRAIN] epoch: 100, iter: 36930/160000, loss: 0.0832, lr: 0.000046, batch_cost: 1.1822, reader_cost: 0.00017, ips: 1.6917 samples/sec | ETA 40:24:58 2021-08-22 01:46:26 [INFO] [TRAIN] epoch: 100, iter: 36940/160000, loss: 0.0919, lr: 0.000046, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6834 samples/sec | ETA 40:36:43 2021-08-22 01:46:38 [INFO] [TRAIN] epoch: 100, iter: 36950/160000, loss: 0.0736, lr: 0.000046, batch_cost: 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40:39:26 2021-08-22 01:49:01 [INFO] [TRAIN] epoch: 100, iter: 37070/160000, loss: 0.0634, lr: 0.000046, batch_cost: 1.1999, reader_cost: 0.00017, ips: 1.6668 samples/sec | ETA 40:58:23 2021-08-22 01:49:13 [INFO] [TRAIN] epoch: 100, iter: 37080/160000, loss: 0.0817, lr: 0.000046, batch_cost: 1.1864, reader_cost: 0.00017, ips: 1.6858 samples/sec | ETA 40:30:27 2021-08-22 01:49:25 [INFO] [TRAIN] epoch: 100, iter: 37090/160000, loss: 0.0811, lr: 0.000046, batch_cost: 1.1873, reader_cost: 0.00017, ips: 1.6845 samples/sec | ETA 40:32:12 2021-08-22 01:49:37 [INFO] [TRAIN] epoch: 100, iter: 37100/160000, loss: 0.0897, lr: 0.000046, batch_cost: 1.1875, reader_cost: 0.00017, ips: 1.6842 samples/sec | ETA 40:32:24 2021-08-22 01:49:49 [INFO] [TRAIN] epoch: 100, iter: 37110/160000, loss: 0.0695, lr: 0.000046, batch_cost: 1.1898, reader_cost: 0.00017, ips: 1.6810 samples/sec | ETA 40:36:53 2021-08-22 01:50:00 [INFO] [TRAIN] epoch: 100, iter: 37120/160000, loss: 0.0786, lr: 0.000046, batch_cost: 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40:14:11 2021-08-22 01:52:25 [INFO] [TRAIN] epoch: 101, iter: 37240/160000, loss: 0.0885, lr: 0.000046, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 40:36:39 2021-08-22 01:52:37 [INFO] [TRAIN] epoch: 101, iter: 37250/160000, loss: 0.0835, lr: 0.000046, batch_cost: 1.1931, reader_cost: 0.00018, ips: 1.6763 samples/sec | ETA 40:40:54 2021-08-22 01:52:49 [INFO] [TRAIN] epoch: 101, iter: 37260/160000, loss: 0.0930, lr: 0.000046, batch_cost: 1.1856, reader_cost: 0.00018, ips: 1.6869 samples/sec | ETA 40:25:25 2021-08-22 01:53:01 [INFO] [TRAIN] epoch: 101, iter: 37270/160000, loss: 0.0827, lr: 0.000046, batch_cost: 1.1978, reader_cost: 0.00018, ips: 1.6697 samples/sec | ETA 40:50:07 2021-08-22 01:53:13 [INFO] [TRAIN] epoch: 101, iter: 37280/160000, loss: 0.0809, lr: 0.000046, batch_cost: 1.1917, reader_cost: 0.00018, ips: 1.6783 samples/sec | ETA 40:37:19 2021-08-22 01:53:25 [INFO] [TRAIN] epoch: 101, iter: 37290/160000, loss: 0.0771, lr: 0.000046, batch_cost: 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40:29:54 2021-08-22 01:55:48 [INFO] [TRAIN] epoch: 101, iter: 37410/160000, loss: 0.0769, lr: 0.000046, batch_cost: 1.1957, reader_cost: 0.00016, ips: 1.6727 samples/sec | ETA 40:42:58 2021-08-22 01:56:00 [INFO] [TRAIN] epoch: 101, iter: 37420/160000, loss: 0.0758, lr: 0.000046, batch_cost: 1.1852, reader_cost: 0.00016, ips: 1.6875 samples/sec | ETA 40:21:16 2021-08-22 01:56:12 [INFO] [TRAIN] epoch: 101, iter: 37430/160000, loss: 0.0684, lr: 0.000046, batch_cost: 1.1842, reader_cost: 0.00016, ips: 1.6889 samples/sec | ETA 40:19:11 2021-08-22 01:56:24 [INFO] [TRAIN] epoch: 101, iter: 37440/160000, loss: 0.0908, lr: 0.000046, batch_cost: 1.1868, reader_cost: 0.00017, ips: 1.6852 samples/sec | ETA 40:24:17 2021-08-22 01:56:36 [INFO] [TRAIN] epoch: 101, iter: 37450/160000, loss: 0.0959, lr: 0.000046, batch_cost: 1.1954, reader_cost: 0.00018, ips: 1.6731 samples/sec | ETA 40:41:33 2021-08-22 01:56:48 [INFO] [TRAIN] epoch: 101, iter: 37460/160000, loss: 0.0686, lr: 0.000046, batch_cost: 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39:38:26 2021-08-22 01:59:13 [INFO] [TRAIN] epoch: 102, iter: 37580/160000, loss: 0.0855, lr: 0.000046, batch_cost: 1.3878, reader_cost: 0.17051, ips: 1.4411 samples/sec | ETA 47:11:40 2021-08-22 01:59:25 [INFO] [TRAIN] epoch: 102, iter: 37590/160000, loss: 0.0770, lr: 0.000046, batch_cost: 1.1892, reader_cost: 0.00064, ips: 1.6818 samples/sec | ETA 40:26:14 2021-08-22 01:59:37 [INFO] [TRAIN] epoch: 102, iter: 37600/160000, loss: 0.0768, lr: 0.000046, batch_cost: 1.2024, reader_cost: 0.00017, ips: 1.6634 samples/sec | ETA 40:52:49 2021-08-22 01:59:48 [INFO] [TRAIN] epoch: 102, iter: 37610/160000, loss: 0.0548, lr: 0.000046, batch_cost: 1.1874, reader_cost: 0.00017, ips: 1.6844 samples/sec | ETA 40:22:01 2021-08-22 02:00:00 [INFO] [TRAIN] epoch: 102, iter: 37620/160000, loss: 0.0843, lr: 0.000046, batch_cost: 1.1837, reader_cost: 0.00016, ips: 1.6897 samples/sec | ETA 40:14:16 2021-08-22 02:00:12 [INFO] [TRAIN] epoch: 102, iter: 37630/160000, loss: 0.0826, lr: 0.000046, batch_cost: 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40:08:35 2021-08-22 02:05:58 [INFO] [TRAIN] epoch: 102, iter: 37920/160000, loss: 0.0837, lr: 0.000046, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6791 samples/sec | ETA 40:23:33 2021-08-22 02:06:10 [INFO] [TRAIN] epoch: 102, iter: 37930/160000, loss: 0.0868, lr: 0.000046, batch_cost: 1.1855, reader_cost: 0.00017, ips: 1.6871 samples/sec | ETA 40:11:52 2021-08-22 02:06:21 [INFO] [TRAIN] epoch: 102, iter: 37940/160000, loss: 0.0919, lr: 0.000046, batch_cost: 1.1667, reader_cost: 0.00013, ips: 1.7142 samples/sec | ETA 39:33:30 2021-08-22 02:06:35 [INFO] [TRAIN] epoch: 103, iter: 37950/160000, loss: 0.0996, lr: 0.000046, batch_cost: 1.3880, reader_cost: 0.17031, ips: 1.4410 samples/sec | ETA 47:03:19 2021-08-22 02:06:47 [INFO] [TRAIN] epoch: 103, iter: 37960/160000, loss: 0.0901, lr: 0.000046, batch_cost: 1.1941, reader_cost: 0.00067, ips: 1.6749 samples/sec | ETA 40:28:46 2021-08-22 02:06:59 [INFO] [TRAIN] epoch: 103, iter: 37970/160000, loss: 0.0850, lr: 0.000046, batch_cost: 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39:44:04 2021-08-22 02:33:10 [INFO] [TRAIN] epoch: 106, iter: 39280/160000, loss: 0.0635, lr: 0.000045, batch_cost: 1.1868, reader_cost: 0.00017, ips: 1.6851 samples/sec | ETA 39:47:56 2021-08-22 02:33:22 [INFO] [TRAIN] epoch: 106, iter: 39290/160000, loss: 0.0635, lr: 0.000045, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 39:56:11 2021-08-22 02:33:34 [INFO] [TRAIN] epoch: 106, iter: 39300/160000, loss: 0.0764, lr: 0.000045, batch_cost: 1.1958, reader_cost: 0.00018, ips: 1.6726 samples/sec | ETA 40:05:30 2021-08-22 02:33:46 [INFO] [TRAIN] epoch: 106, iter: 39310/160000, loss: 0.0819, lr: 0.000045, batch_cost: 1.2190, reader_cost: 0.00021, ips: 1.6407 samples/sec | ETA 40:51:58 2021-08-22 02:33:58 [INFO] [TRAIN] epoch: 106, iter: 39320/160000, loss: 0.0766, lr: 0.000045, batch_cost: 1.1991, reader_cost: 0.00019, ips: 1.6679 samples/sec | ETA 40:11:52 2021-08-22 02:34:10 [INFO] [TRAIN] epoch: 106, iter: 39330/160000, loss: 0.0828, lr: 0.000045, batch_cost: 1.2065, reader_cost: 0.00019, ips: 1.6577 samples/sec | ETA 40:26:25 2021-08-22 02:34:22 [INFO] [TRAIN] epoch: 106, iter: 39340/160000, loss: 0.0913, lr: 0.000045, batch_cost: 1.2059, reader_cost: 0.00019, ips: 1.6585 samples/sec | ETA 40:25:03 2021-08-22 02:34:34 [INFO] [TRAIN] epoch: 106, iter: 39350/160000, loss: 0.0691, lr: 0.000045, batch_cost: 1.1958, reader_cost: 0.00018, ips: 1.6726 samples/sec | ETA 40:04:28 2021-08-22 02:34:46 [INFO] [TRAIN] epoch: 106, iter: 39360/160000, loss: 0.0890, lr: 0.000045, batch_cost: 1.1885, reader_cost: 0.00018, ips: 1.6828 samples/sec | ETA 39:49:36 2021-08-22 02:34:58 [INFO] [TRAIN] epoch: 106, iter: 39370/160000, loss: 0.0705, lr: 0.000045, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6737 samples/sec | ETA 40:02:29 2021-08-22 02:35:10 [INFO] [TRAIN] epoch: 106, iter: 39380/160000, loss: 0.0717, lr: 0.000045, batch_cost: 1.1886, reader_cost: 0.00017, ips: 1.6826 samples/sec | ETA 39:49:32 2021-08-22 02:35:21 [INFO] [TRAIN] epoch: 106, iter: 39390/160000, loss: 0.0678, lr: 0.000045, batch_cost: 1.1868, reader_cost: 0.00016, ips: 1.6851 samples/sec | ETA 39:45:44 2021-08-22 02:35:33 [INFO] [TRAIN] epoch: 106, iter: 39400/160000, loss: 0.0800, lr: 0.000045, batch_cost: 1.1833, reader_cost: 0.00017, ips: 1.6902 samples/sec | ETA 39:38:23 2021-08-22 02:35:45 [INFO] [TRAIN] epoch: 106, iter: 39410/160000, loss: 0.0764, lr: 0.000045, batch_cost: 1.1948, reader_cost: 0.00018, ips: 1.6740 samples/sec | ETA 40:01:15 2021-08-22 02:35:57 [INFO] [TRAIN] epoch: 106, iter: 39420/160000, loss: 0.0770, lr: 0.000045, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6816 samples/sec | ETA 39:50:07 2021-08-22 02:36:09 [INFO] [TRAIN] epoch: 106, iter: 39430/160000, loss: 0.0924, lr: 0.000045, batch_cost: 1.1650, reader_cost: 0.00012, ips: 1.7168 samples/sec | ETA 39:00:58 2021-08-22 02:36:23 [INFO] [TRAIN] epoch: 107, iter: 39440/160000, loss: 0.0858, lr: 0.000045, batch_cost: 1.3977, reader_cost: 0.16470, ips: 1.4309 samples/sec | ETA 46:48:32 2021-08-22 02:36:35 [INFO] [TRAIN] epoch: 107, iter: 39450/160000, loss: 0.0801, lr: 0.000045, batch_cost: 1.2065, reader_cost: 0.00068, ips: 1.6577 samples/sec | ETA 40:23:59 2021-08-22 02:36:47 [INFO] [TRAIN] epoch: 107, iter: 39460/160000, loss: 0.0894, lr: 0.000045, batch_cost: 1.1966, reader_cost: 0.00018, ips: 1.6714 samples/sec | ETA 40:03:55 2021-08-22 02:36:59 [INFO] [TRAIN] epoch: 107, iter: 39470/160000, loss: 0.0763, lr: 0.000045, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6797 samples/sec | ETA 39:51:54 2021-08-22 02:37:11 [INFO] [TRAIN] epoch: 107, iter: 39480/160000, loss: 0.0866, lr: 0.000045, batch_cost: 1.1914, reader_cost: 0.00017, ips: 1.6788 samples/sec | ETA 39:53:01 2021-08-22 02:37:22 [INFO] [TRAIN] epoch: 107, iter: 39490/160000, loss: 0.0711, lr: 0.000045, batch_cost: 1.1838, reader_cost: 0.00016, ips: 1.6895 samples/sec | ETA 39:37:37 2021-08-22 02:37:34 [INFO] [TRAIN] epoch: 107, iter: 39500/160000, loss: 0.0760, lr: 0.000045, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6815 samples/sec | ETA 39:48:43 2021-08-22 02:37:46 [INFO] [TRAIN] epoch: 107, iter: 39510/160000, loss: 0.0681, lr: 0.000045, batch_cost: 1.1833, reader_cost: 0.00017, ips: 1.6901 samples/sec | ETA 39:36:19 2021-08-22 02:37:58 [INFO] [TRAIN] epoch: 107, iter: 39520/160000, loss: 0.0810, lr: 0.000045, batch_cost: 1.1923, reader_cost: 0.00018, ips: 1.6774 samples/sec | ETA 39:54:08 2021-08-22 02:38:10 [INFO] [TRAIN] epoch: 107, iter: 39530/160000, loss: 0.0741, lr: 0.000045, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 39:46:18 2021-08-22 02:38:22 [INFO] [TRAIN] epoch: 107, iter: 39540/160000, loss: 0.0833, lr: 0.000045, batch_cost: 1.1986, reader_cost: 0.00018, ips: 1.6686 samples/sec | ETA 40:06:24 2021-08-22 02:38:34 [INFO] [TRAIN] epoch: 107, iter: 39550/160000, loss: 0.0736, lr: 0.000045, batch_cost: 1.1859, reader_cost: 0.00017, ips: 1.6865 samples/sec | ETA 39:40:40 2021-08-22 02:38:46 [INFO] [TRAIN] epoch: 107, iter: 39560/160000, loss: 0.0712, lr: 0.000045, batch_cost: 1.1915, reader_cost: 0.00018, ips: 1.6785 samples/sec | ETA 39:51:49 2021-08-22 02:38:58 [INFO] [TRAIN] epoch: 107, iter: 39570/160000, loss: 0.0883, lr: 0.000045, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6804 samples/sec | ETA 39:48:53 2021-08-22 02:39:10 [INFO] [TRAIN] epoch: 107, iter: 39580/160000, loss: 0.0712, lr: 0.000045, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 39:49:14 2021-08-22 02:39:22 [INFO] [TRAIN] epoch: 107, iter: 39590/160000, loss: 0.0887, lr: 0.000045, batch_cost: 1.2005, reader_cost: 0.00017, ips: 1.6659 samples/sec | ETA 40:09:16 2021-08-22 02:39:34 [INFO] [TRAIN] epoch: 107, iter: 39600/160000, loss: 0.0818, lr: 0.000045, batch_cost: 1.2021, reader_cost: 0.00017, ips: 1.6638 samples/sec | ETA 40:12:08 2021-08-22 02:39:45 [INFO] [TRAIN] epoch: 107, iter: 39610/160000, loss: 0.0859, lr: 0.000045, batch_cost: 1.1924, reader_cost: 0.00018, ips: 1.6773 samples/sec | ETA 39:52:33 2021-08-22 02:39:57 [INFO] [TRAIN] epoch: 107, iter: 39620/160000, loss: 0.0848, lr: 0.000045, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6806 samples/sec | ETA 39:47:41 2021-08-22 02:40:09 [INFO] [TRAIN] epoch: 107, iter: 39630/160000, loss: 0.0775, lr: 0.000045, batch_cost: 1.1933, reader_cost: 0.00017, ips: 1.6760 samples/sec | ETA 39:54:02 2021-08-22 02:40:21 [INFO] [TRAIN] epoch: 107, iter: 39640/160000, loss: 0.0757, lr: 0.000045, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6776 samples/sec | ETA 39:51:32 2021-08-22 02:40:33 [INFO] [TRAIN] epoch: 107, iter: 39650/160000, loss: 0.0822, lr: 0.000045, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6714 samples/sec | ETA 40:00:09 2021-08-22 02:40:45 [INFO] [TRAIN] epoch: 107, iter: 39660/160000, loss: 0.0710, lr: 0.000045, batch_cost: 1.1990, reader_cost: 0.00017, ips: 1.6681 samples/sec | ETA 40:04:44 2021-08-22 02:40:57 [INFO] [TRAIN] epoch: 107, iter: 39670/160000, loss: 0.0771, lr: 0.000045, batch_cost: 1.1967, reader_cost: 0.00018, ips: 1.6712 samples/sec | ETA 40:00:04 2021-08-22 02:41:09 [INFO] [TRAIN] epoch: 107, iter: 39680/160000, loss: 0.0716, lr: 0.000045, batch_cost: 1.1872, reader_cost: 0.00017, ips: 1.6846 samples/sec | ETA 39:40:48 2021-08-22 02:41:21 [INFO] [TRAIN] epoch: 107, iter: 39690/160000, loss: 0.0670, lr: 0.000045, batch_cost: 1.1864, reader_cost: 0.00017, ips: 1.6858 samples/sec | ETA 39:38:53 2021-08-22 02:41:33 [INFO] [TRAIN] epoch: 107, iter: 39700/160000, loss: 0.0759, lr: 0.000045, batch_cost: 1.1968, reader_cost: 0.00017, ips: 1.6712 samples/sec | ETA 39:59:31 2021-08-22 02:41:45 [INFO] [TRAIN] epoch: 107, iter: 39710/160000, loss: 0.0857, lr: 0.000045, batch_cost: 1.1933, reader_cost: 0.00018, ips: 1.6761 samples/sec | ETA 39:52:17 2021-08-22 02:41:57 [INFO] [TRAIN] epoch: 107, iter: 39720/160000, loss: 0.0726, lr: 0.000045, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6744 samples/sec | ETA 39:54:25 2021-08-22 02:42:09 [INFO] [TRAIN] epoch: 107, iter: 39730/160000, loss: 0.0792, lr: 0.000045, batch_cost: 1.1917, reader_cost: 0.00017, ips: 1.6782 samples/sec | ETA 39:48:47 2021-08-22 02:42:21 [INFO] [TRAIN] epoch: 107, iter: 39740/160000, loss: 0.0786, lr: 0.000045, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6804 samples/sec | ETA 39:45:29 2021-08-22 02:42:32 [INFO] [TRAIN] epoch: 107, iter: 39750/160000, loss: 0.0840, lr: 0.000045, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6829 samples/sec | ETA 39:41:50 2021-08-22 02:42:44 [INFO] [TRAIN] epoch: 107, iter: 39760/160000, loss: 0.0703, lr: 0.000045, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6755 samples/sec | ETA 39:52:06 2021-08-22 02:42:56 [INFO] [TRAIN] epoch: 107, iter: 39770/160000, loss: 0.0788, lr: 0.000045, batch_cost: 1.1972, reader_cost: 0.00017, ips: 1.6706 samples/sec | ETA 39:58:58 2021-08-22 02:43:08 [INFO] [TRAIN] epoch: 107, iter: 39780/160000, loss: 0.0783, lr: 0.000045, batch_cost: 1.1952, reader_cost: 0.00018, ips: 1.6733 samples/sec | ETA 39:54:49 2021-08-22 02:43:20 [INFO] [TRAIN] epoch: 107, iter: 39790/160000, loss: 0.0795, lr: 0.000045, batch_cost: 1.1848, reader_cost: 0.00017, ips: 1.6880 samples/sec | ETA 39:33:47 2021-08-22 02:43:32 [INFO] [TRAIN] epoch: 107, iter: 39800/160000, loss: 0.0764, lr: 0.000045, batch_cost: 1.1685, reader_cost: 0.00013, ips: 1.7117 samples/sec | ETA 39:00:47 2021-08-22 02:43:46 [INFO] [TRAIN] epoch: 108, iter: 39810/160000, loss: 0.0754, lr: 0.000045, batch_cost: 1.3918, reader_cost: 0.18529, ips: 1.4370 samples/sec | ETA 46:28:01 2021-08-22 02:43:58 [INFO] [TRAIN] epoch: 108, iter: 39820/160000, loss: 0.0706, lr: 0.000045, batch_cost: 1.1952, reader_cost: 0.00067, ips: 1.6733 samples/sec | ETA 39:54:01 2021-08-22 02:44:10 [INFO] [TRAIN] epoch: 108, iter: 39830/160000, loss: 0.0738, lr: 0.000045, batch_cost: 1.1995, reader_cost: 0.00017, ips: 1.6674 samples/sec | ETA 40:02:20 2021-08-22 02:44:22 [INFO] [TRAIN] epoch: 108, iter: 39840/160000, loss: 0.0914, lr: 0.000045, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6724 samples/sec | ETA 39:54:53 2021-08-22 02:44:34 [INFO] [TRAIN] epoch: 108, iter: 39850/160000, loss: 0.0787, lr: 0.000045, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 39:38:15 2021-08-22 02:44:45 [INFO] [TRAIN] epoch: 108, iter: 39860/160000, loss: 0.0664, lr: 0.000045, batch_cost: 1.1832, reader_cost: 0.00017, ips: 1.6904 samples/sec | ETA 39:29:05 2021-08-22 02:44:57 [INFO] [TRAIN] epoch: 108, iter: 39870/160000, loss: 0.0666, lr: 0.000045, batch_cost: 1.2003, reader_cost: 0.00017, ips: 1.6662 samples/sec | ETA 40:03:12 2021-08-22 02:45:09 [INFO] [TRAIN] epoch: 108, iter: 39880/160000, loss: 0.0826, lr: 0.000045, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6698 samples/sec | ETA 39:57:50 2021-08-22 02:45:21 [INFO] [TRAIN] epoch: 108, iter: 39890/160000, loss: 0.0716, lr: 0.000045, batch_cost: 1.1930, reader_cost: 0.00018, ips: 1.6764 samples/sec | ETA 39:48:10 2021-08-22 02:45:33 [INFO] [TRAIN] epoch: 108, iter: 39900/160000, loss: 0.0778, lr: 0.000045, batch_cost: 1.1846, reader_cost: 0.00018, ips: 1.6884 samples/sec | ETA 39:31:06 2021-08-22 02:45:45 [INFO] [TRAIN] epoch: 108, iter: 39910/160000, loss: 0.0619, lr: 0.000045, batch_cost: 1.1932, reader_cost: 0.00016, ips: 1.6761 samples/sec | ETA 39:48:12 2021-08-22 02:45:57 [INFO] [TRAIN] epoch: 108, iter: 39920/160000, loss: 0.0703, lr: 0.000045, batch_cost: 1.1993, reader_cost: 0.00019, ips: 1.6677 samples/sec | ETA 40:00:07 2021-08-22 02:46:09 [INFO] [TRAIN] epoch: 108, iter: 39930/160000, loss: 0.0918, lr: 0.000045, batch_cost: 1.1923, reader_cost: 0.00019, ips: 1.6774 samples/sec | ETA 39:46:03 2021-08-22 02:46:21 [INFO] [TRAIN] epoch: 108, iter: 39940/160000, loss: 0.0812, lr: 0.000045, batch_cost: 1.2038, reader_cost: 0.00018, ips: 1.6614 samples/sec | ETA 40:08:52 2021-08-22 02:46:33 [INFO] [TRAIN] epoch: 108, iter: 39950/160000, loss: 0.0702, lr: 0.000045, batch_cost: 1.1930, reader_cost: 0.00018, ips: 1.6765 samples/sec | ETA 39:46:55 2021-08-22 02:46:45 [INFO] [TRAIN] epoch: 108, iter: 39960/160000, loss: 0.0696, lr: 0.000045, batch_cost: 1.1846, reader_cost: 0.00018, ips: 1.6883 samples/sec | ETA 39:30:04 2021-08-22 02:46:57 [INFO] [TRAIN] epoch: 108, iter: 39970/160000, loss: 0.0893, lr: 0.000045, batch_cost: 1.1877, reader_cost: 0.00019, ips: 1.6839 samples/sec | ETA 39:36:02 2021-08-22 02:47:09 [INFO] [TRAIN] epoch: 108, iter: 39980/160000, loss: 0.0745, lr: 0.000045, batch_cost: 1.1882, reader_cost: 0.00018, ips: 1.6832 samples/sec | ETA 39:36:45 2021-08-22 02:47:21 [INFO] [TRAIN] epoch: 108, iter: 39990/160000, loss: 0.0714, lr: 0.000045, batch_cost: 1.1974, reader_cost: 0.00017, ips: 1.6703 samples/sec | ETA 39:55:00 2021-08-22 02:47:32 [INFO] [TRAIN] epoch: 108, iter: 40000/160000, loss: 0.0613, lr: 0.000045, batch_cost: 1.1871, reader_cost: 0.00017, ips: 1.6848 samples/sec | ETA 39:34:06 2021-08-22 02:47:32 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:29 - batch_cost: 2.1719 - reader cost: 0.3538 2/125 [..............................] - ETA: 4:06 - batch_cost: 2.0071 - reader cost: 0.1770 3/125 [..............................] - ETA: 4:02 - batch_cost: 1.9834 - reader cost: 0.1181 4/125 [..............................] - ETA: 3:56 - batch_cost: 1.9521 - reader cost: 0.0886 5/125 [>.............................] - ETA: 3:51 - batch_cost: 1.9319 - reader cost: 0.0709 6/125 [>.............................] - ETA: 3:48 - batch_cost: 1.9187 - reader cost: 0.0591 7/125 [>.............................] - ETA: 3:45 - batch_cost: 1.9099 - reader cost: 0.0507 8/125 [>.............................] - ETA: 3:42 - batch_cost: 1.9027 - reader cost: 0.0444 9/125 [=>............................] - ETA: 3:39 - batch_cost: 1.8949 - reader cost: 0.0395 10/125 [=>............................] - ETA: 3:37 - batch_cost: 1.8899 - reader cost: 0.0355 11/125 [=>............................] - ETA: 3:35 - batch_cost: 1.8870 - reader cost: 0.0323 12/125 [=>............................] - ETA: 3:32 - batch_cost: 1.8825 - reader cost: 0.0296 13/125 [==>...........................] - ETA: 3:30 - batch_cost: 1.8816 - reader cost: 0.0274 14/125 [==>...........................] - ETA: 3:28 - batch_cost: 1.8796 - reader cost: 0.0254 15/125 [==>...........................] - ETA: 3:26 - batch_cost: 1.8774 - reader cost: 0.0238 16/125 [==>...........................] - ETA: 3:24 - batch_cost: 1.8770 - reader cost: 0.0223 17/125 [===>..........................] - ETA: 3:22 - batch_cost: 1.8746 - reader cost: 0.0210 18/125 [===>..........................] - ETA: 3:20 - batch_cost: 1.8734 - reader cost: 0.0198 19/125 [===>..........................] - ETA: 3:18 - batch_cost: 1.8719 - reader cost: 0.0188 20/125 [===>..........................] - ETA: 3:16 - batch_cost: 1.8705 - reader cost: 0.0179 21/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.8694 - reader cost: 0.0170 22/125 [====>.........................] - ETA: 3:12 - batch_cost: 1.8684 - reader cost: 0.0163 23/125 [====>.........................] - ETA: 3:10 - batch_cost: 1.8675 - reader cost: 0.0156 24/125 [====>.........................] - ETA: 3:08 - batch_cost: 1.8665 - reader cost: 0.0149 25/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.8668 - reader cost: 0.0143 26/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.8667 - reader cost: 0.0138 27/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8670 - reader cost: 0.0133 28/125 [=====>........................] - ETA: 3:01 - batch_cost: 1.8672 - reader cost: 0.0128 29/125 [=====>........................] - ETA: 2:59 - batch_cost: 1.8675 - reader cost: 0.0124 30/125 [======>.......................] - ETA: 2:57 - batch_cost: 1.8680 - reader cost: 0.0120 31/125 [======>.......................] - ETA: 2:55 - batch_cost: 1.8685 - reader cost: 0.0116 32/125 [======>.......................] - ETA: 2:53 - batch_cost: 1.8685 - reader cost: 0.0112 33/125 [======>.......................] - ETA: 2:51 - batch_cost: 1.8685 - reader cost: 0.0109 34/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8689 - reader cost: 0.0106 35/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8695 - reader cost: 0.0103 36/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8696 - reader cost: 0.0100 37/125 [=======>......................] - ETA: 2:44 - batch_cost: 1.8696 - reader cost: 0.0097 38/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8694 - reader cost: 0.0095 39/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8691 - reader cost: 0.0092 40/125 [========>.....................] - ETA: 2:38 - batch_cost: 1.8689 - reader cost: 0.0090 41/125 [========>.....................] - ETA: 2:37 - batch_cost: 1.8689 - reader cost: 0.0088 42/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.8690 - reader cost: 0.0086 43/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.8691 - reader cost: 0.0084 44/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8694 - reader cost: 0.0082 45/125 [=========>....................] - ETA: 2:29 - batch_cost: 1.8690 - reader cost: 0.0080 46/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8686 - reader cost: 0.0079 47/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8683 - reader cost: 0.0077 48/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8679 - reader cost: 0.0075 49/125 [==========>...................] - ETA: 2:21 - batch_cost: 1.8677 - reader cost: 0.0074 50/125 [===========>..................] - ETA: 2:20 - batch_cost: 1.8674 - reader cost: 0.0072 51/125 [===========>..................] - ETA: 2:18 - batch_cost: 1.8673 - reader cost: 0.0071 52/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8671 - reader cost: 0.0070 53/125 [===========>..................] - ETA: 2:14 - batch_cost: 1.8667 - reader cost: 0.0068 54/125 [===========>..................] - ETA: 2:12 - batch_cost: 1.8663 - reader cost: 0.0067 55/125 [============>.................] - ETA: 2:10 - batch_cost: 1.8661 - reader cost: 0.0066 56/125 [============>.................] - ETA: 2:08 - batch_cost: 1.8657 - reader cost: 0.0065 57/125 [============>.................] - ETA: 2:06 - batch_cost: 1.8659 - reader cost: 0.0064 58/125 [============>.................] - ETA: 2:05 - batch_cost: 1.8658 - reader cost: 0.0063 59/125 [=============>................] - ETA: 2:03 - batch_cost: 1.8655 - reader cost: 0.0062 60/125 [=============>................] - ETA: 2:01 - batch_cost: 1.8651 - reader cost: 0.0061 61/125 [=============>................] - ETA: 1:59 - batch_cost: 1.8647 - reader cost: 0.0060 62/125 [=============>................] - ETA: 1:57 - batch_cost: 1.8644 - reader cost: 0.0059 63/125 [==============>...............] - ETA: 1:55 - batch_cost: 1.8644 - reader cost: 0.0058 64/125 [==============>...............] - ETA: 1:53 - batch_cost: 1.8641 - reader cost: 0.0057 65/125 [==============>...............] - ETA: 1:51 - batch_cost: 1.8638 - reader cost: 0.0056 66/125 [==============>...............] - ETA: 1:49 - batch_cost: 1.8634 - reader cost: 0.0055 67/125 [===============>..............] - ETA: 1:48 - batch_cost: 1.8631 - reader cost: 0.0055 68/125 [===============>..............] - ETA: 1:46 - batch_cost: 1.8629 - reader cost: 0.0054 69/125 [===============>..............] - ETA: 1:44 - batch_cost: 1.8626 - reader cost: 0.0053 70/125 [===============>..............] - ETA: 1:42 - batch_cost: 1.8624 - reader cost: 0.0052 71/125 [================>.............] - ETA: 1:40 - batch_cost: 1.8621 - reader cost: 0.0052 72/125 [================>.............] - ETA: 1:38 - batch_cost: 1.8617 - reader cost: 0.0051 73/125 [================>.............] - ETA: 1:36 - batch_cost: 1.8616 - reader cost: 0.0050 74/125 [================>.............] - ETA: 1:34 - 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[===================>..........] - ETA: 1:14 - batch_cost: 1.8607 - reader cost: 0.0043 86/125 [===================>..........] - ETA: 1:12 - batch_cost: 1.8605 - reader cost: 0.0043 87/125 [===================>..........] - ETA: 1:10 - batch_cost: 1.8604 - reader cost: 0.0042 88/125 [====================>.........] - ETA: 1:08 - batch_cost: 1.8601 - reader cost: 0.0042 89/125 [====================>.........] - ETA: 1:06 - batch_cost: 1.8601 - reader cost: 0.0041 90/125 [====================>.........] - ETA: 1:05 - batch_cost: 1.8599 - reader cost: 0.0041 91/125 [====================>.........] - ETA: 1:03 - batch_cost: 1.8599 - reader cost: 0.0041 92/125 [=====================>........] - ETA: 1:01 - batch_cost: 1.8599 - reader cost: 0.0040 93/125 [=====================>........] - ETA: 59s - batch_cost: 1.8596 - reader cost: 0.0040  94/125 [=====================>........] - ETA: 57s - batch_cost: 1.8595 - reader cost: 0.0039 95/125 [=====================>........] - ETA: 55s - 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[========================>.....] - ETA: 35s - batch_cost: 1.8605 - reader cost: 0.0035 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8603 - reader cost: 0.0035 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8605 - reader cost: 0.0034 109/125 [=========================>....] - ETA: 29s - batch_cost: 1.8604 - reader cost: 0.0034 110/125 [=========================>....] - ETA: 27s - batch_cost: 1.8603 - reader cost: 0.0034 111/125 [=========================>....] - ETA: 26s - batch_cost: 1.8603 - reader cost: 0.0034 112/125 [=========================>....] - ETA: 24s - batch_cost: 1.8603 - reader cost: 0.0033 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8605 - reader cost: 0.0033 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8605 - reader cost: 0.0033 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8605 - reader cost: 0.0032 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8606 - reader cost: 0.0032 117/125 [===========================>..] - ETA: 14s - batch_cost: 1.8605 - reader cost: 0.0032 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8603 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8604 - reader cost: 0.0031 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8602 - reader cost: 0.0031  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8602 - reader cost: 0.0031 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8602 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8600 - reader cost: 0.0030 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8599 - reader cost: 0.0030 125/125 [==============================] - 233s 2s/step - batch_cost: 1.8598 - reader cost: 0.0030 2021-08-22 02:51:25 [INFO] [EVAL] #Images: 500 mIoU: 0.8049 Acc: 0.9645 Kappa: 0.9540 2021-08-22 02:51:25 [INFO] [EVAL] Class IoU: [0.9822 0.8576 0.9331 0.6402 0.6317 0.679 0.7354 0.8149 0.9311 0.6655 0.9536 0.8348 0.6424 0.9549 0.8561 0.8861 0.8023 0.7033 0.7887] 2021-08-22 02:51:25 [INFO] [EVAL] Class Acc: [0.9936 0.9084 0.9629 0.8497 0.8248 0.823 0.8635 0.9038 0.9611 0.8507 0.9684 0.9019 0.7945 0.973 0.9533 0.9199 0.8904 0.861 0.8622] 2021-08-22 02:51:27 [INFO] [EVAL] The model with the best validation mIoU (0.8059) was saved at iter 36000. 2021-08-22 02:51:39 [INFO] [TRAIN] epoch: 108, iter: 40010/160000, loss: 0.0724, lr: 0.000045, batch_cost: 1.1967, reader_cost: 0.00018, ips: 1.6712 samples/sec | ETA 39:53:13 2021-08-22 02:51:51 [INFO] [TRAIN] epoch: 108, iter: 40020/160000, loss: 0.1010, lr: 0.000045, batch_cost: 1.1890, reader_cost: 0.00018, ips: 1.6821 samples/sec | ETA 39:37:35 2021-08-22 02:52:03 [INFO] [TRAIN] epoch: 108, iter: 40030/160000, loss: 0.0837, lr: 0.000045, batch_cost: 1.1959, reader_cost: 0.00018, ips: 1.6724 samples/sec | ETA 39:51:10 2021-08-22 02:52:15 [INFO] [TRAIN] epoch: 108, iter: 40040/160000, loss: 0.0744, lr: 0.000045, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6724 samples/sec | ETA 39:51:02 2021-08-22 02:52:27 [INFO] [TRAIN] epoch: 108, iter: 40050/160000, loss: 0.0772, lr: 0.000045, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 39:46:32 2021-08-22 02:52:39 [INFO] [TRAIN] epoch: 108, iter: 40060/160000, loss: 0.0693, lr: 0.000045, batch_cost: 1.1856, reader_cost: 0.00018, ips: 1.6869 samples/sec | ETA 39:30:04 2021-08-22 02:52:51 [INFO] [TRAIN] epoch: 108, iter: 40070/160000, loss: 0.0710, lr: 0.000045, batch_cost: 1.1776, reader_cost: 0.00018, ips: 1.6984 samples/sec | ETA 39:13:46 2021-08-22 02:53:03 [INFO] [TRAIN] epoch: 108, iter: 40080/160000, loss: 0.0769, lr: 0.000045, batch_cost: 1.1903, reader_cost: 0.00018, ips: 1.6803 samples/sec | ETA 39:38:55 2021-08-22 02:53:15 [INFO] [TRAIN] epoch: 108, iter: 40090/160000, loss: 0.0644, lr: 0.000045, batch_cost: 1.1976, reader_cost: 0.00017, ips: 1.6700 samples/sec | ETA 39:53:24 2021-08-22 02:53:27 [INFO] [TRAIN] epoch: 108, iter: 40100/160000, loss: 0.0757, lr: 0.000045, batch_cost: 1.1995, reader_cost: 0.00016, ips: 1.6674 samples/sec | ETA 39:56:56 2021-08-22 02:53:39 [INFO] [TRAIN] epoch: 108, iter: 40110/160000, loss: 0.0893, lr: 0.000045, batch_cost: 1.1992, reader_cost: 0.00016, ips: 1.6678 samples/sec | ETA 39:56:13 2021-08-22 02:53:51 [INFO] [TRAIN] epoch: 108, iter: 40120/160000, loss: 0.0760, lr: 0.000045, batch_cost: 1.2031, reader_cost: 0.00016, ips: 1.6623 samples/sec | ETA 40:03:52 2021-08-22 02:54:03 [INFO] [TRAIN] epoch: 108, iter: 40130/160000, loss: 0.0795, lr: 0.000045, batch_cost: 1.1964, reader_cost: 0.00016, ips: 1.6716 samples/sec | ETA 39:50:18 2021-08-22 02:54:14 [INFO] [TRAIN] epoch: 108, iter: 40140/160000, loss: 0.0697, lr: 0.000045, batch_cost: 1.1851, reader_cost: 0.00016, ips: 1.6876 samples/sec | ETA 39:27:27 2021-08-22 02:54:26 [INFO] [TRAIN] epoch: 108, iter: 40150/160000, loss: 0.0833, lr: 0.000045, batch_cost: 1.1934, reader_cost: 0.00017, ips: 1.6758 samples/sec | ETA 39:43:53 2021-08-22 02:54:38 [INFO] [TRAIN] epoch: 108, iter: 40160/160000, loss: 0.0653, lr: 0.000045, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 39:49:22 2021-08-22 02:54:50 [INFO] [TRAIN] epoch: 108, iter: 40170/160000, loss: 0.0659, lr: 0.000045, batch_cost: 1.1786, reader_cost: 0.00014, ips: 1.6970 samples/sec | ETA 39:13:47 2021-08-22 02:55:04 [INFO] [TRAIN] epoch: 109, iter: 40180/160000, loss: 0.0922, lr: 0.000045, batch_cost: 1.3832, reader_cost: 0.17174, ips: 1.4460 samples/sec | ETA 46:02:09 2021-08-22 02:55:16 [INFO] [TRAIN] epoch: 109, iter: 40190/160000, loss: 0.0781, lr: 0.000045, batch_cost: 1.2041, reader_cost: 0.00065, ips: 1.6610 samples/sec | ETA 40:04:21 2021-08-22 02:55:28 [INFO] [TRAIN] epoch: 109, iter: 40200/160000, loss: 0.0670, lr: 0.000045, batch_cost: 1.2033, reader_cost: 0.00017, ips: 1.6621 samples/sec | ETA 40:02:37 2021-08-22 02:55:40 [INFO] [TRAIN] epoch: 109, iter: 40210/160000, loss: 0.0737, lr: 0.000045, batch_cost: 1.2040, reader_cost: 0.00017, ips: 1.6612 samples/sec | ETA 40:03:43 2021-08-22 02:55:52 [INFO] [TRAIN] epoch: 109, iter: 40220/160000, loss: 0.0708, lr: 0.000045, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 39:32:41 2021-08-22 02:56:04 [INFO] [TRAIN] epoch: 109, iter: 40230/160000, loss: 0.0694, lr: 0.000045, batch_cost: 1.1897, reader_cost: 0.00017, ips: 1.6810 samples/sec | ETA 39:34:56 2021-08-22 02:56:16 [INFO] [TRAIN] epoch: 109, iter: 40240/160000, loss: 0.0580, lr: 0.000045, batch_cost: 1.1875, reader_cost: 0.00017, ips: 1.6842 samples/sec | ETA 39:30:19 2021-08-22 02:56:28 [INFO] [TRAIN] epoch: 109, iter: 40250/160000, loss: 0.0717, lr: 0.000045, batch_cost: 1.1843, reader_cost: 0.00017, ips: 1.6888 samples/sec | ETA 39:23:38 2021-08-22 02:56:39 [INFO] [TRAIN] epoch: 109, iter: 40260/160000, loss: 0.0678, lr: 0.000045, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 39:39:26 2021-08-22 02:56:51 [INFO] [TRAIN] epoch: 109, iter: 40270/160000, loss: 0.0681, lr: 0.000045, batch_cost: 1.2001, reader_cost: 0.00018, ips: 1.6665 samples/sec | ETA 39:54:49 2021-08-22 02:57:03 [INFO] [TRAIN] epoch: 109, iter: 40280/160000, loss: 0.0795, lr: 0.000045, batch_cost: 1.1958, reader_cost: 0.00017, ips: 1.6725 samples/sec | ETA 39:45:59 2021-08-22 02:57:15 [INFO] [TRAIN] epoch: 109, iter: 40290/160000, loss: 0.0788, lr: 0.000045, batch_cost: 1.2058, reader_cost: 0.00018, ips: 1.6587 samples/sec | ETA 40:05:45 2021-08-22 02:57:27 [INFO] [TRAIN] epoch: 109, iter: 40300/160000, loss: 0.0732, lr: 0.000045, batch_cost: 1.1983, reader_cost: 0.00017, ips: 1.6691 samples/sec | ETA 39:50:33 2021-08-22 02:57:39 [INFO] [TRAIN] epoch: 109, iter: 40310/160000, loss: 0.0830, lr: 0.000045, batch_cost: 1.1947, reader_cost: 0.00017, ips: 1.6741 samples/sec | ETA 39:43:12 2021-08-22 02:57:51 [INFO] [TRAIN] epoch: 109, iter: 40320/160000, loss: 0.0795, lr: 0.000045, batch_cost: 1.1940, reader_cost: 0.00018, ips: 1.6751 samples/sec | ETA 39:41:35 2021-08-22 02:58:03 [INFO] [TRAIN] epoch: 109, iter: 40330/160000, loss: 0.0590, lr: 0.000045, batch_cost: 1.1808, reader_cost: 0.00016, ips: 1.6937 samples/sec | ETA 39:15:11 2021-08-22 02:58:15 [INFO] [TRAIN] epoch: 109, iter: 40340/160000, loss: 0.0697, lr: 0.000045, batch_cost: 1.1957, reader_cost: 0.00016, ips: 1.6727 samples/sec | ETA 39:44:37 2021-08-22 02:58:27 [INFO] [TRAIN] epoch: 109, iter: 40350/160000, loss: 0.0763, lr: 0.000045, batch_cost: 1.1915, reader_cost: 0.00016, ips: 1.6786 samples/sec | ETA 39:36:00 2021-08-22 02:58:39 [INFO] [TRAIN] epoch: 109, iter: 40360/160000, loss: 0.0678, lr: 0.000045, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6801 samples/sec | ETA 39:33:40 2021-08-22 02:58:51 [INFO] [TRAIN] epoch: 109, iter: 40370/160000, loss: 0.0734, lr: 0.000045, batch_cost: 1.1819, reader_cost: 0.00016, ips: 1.6922 samples/sec | ETA 39:16:33 2021-08-22 02:59:03 [INFO] [TRAIN] epoch: 109, iter: 40380/160000, loss: 0.0704, lr: 0.000045, batch_cost: 1.1947, reader_cost: 0.00017, ips: 1.6740 samples/sec | ETA 39:41:54 2021-08-22 02:59:15 [INFO] [TRAIN] epoch: 109, iter: 40390/160000, loss: 0.0856, lr: 0.000045, batch_cost: 1.1908, reader_cost: 0.00017, ips: 1.6796 samples/sec | ETA 39:33:49 2021-08-22 02:59:27 [INFO] [TRAIN] epoch: 109, iter: 40400/160000, loss: 0.0796, lr: 0.000045, batch_cost: 1.2052, reader_cost: 0.00018, ips: 1.6594 samples/sec | ETA 40:02:27 2021-08-22 02:59:39 [INFO] [TRAIN] epoch: 109, iter: 40410/160000, loss: 0.0721, lr: 0.000045, batch_cost: 1.1982, reader_cost: 0.00018, ips: 1.6691 samples/sec | ETA 39:48:16 2021-08-22 02:59:51 [INFO] [TRAIN] epoch: 109, iter: 40420/160000, loss: 0.0708, lr: 0.000045, batch_cost: 1.1879, reader_cost: 0.00016, ips: 1.6836 samples/sec | ETA 39:27:33 2021-08-22 03:00:02 [INFO] [TRAIN] epoch: 109, iter: 40430/160000, loss: 0.0798, lr: 0.000045, batch_cost: 1.1816, reader_cost: 0.00016, ips: 1.6927 samples/sec | ETA 39:14:39 2021-08-22 03:00:14 [INFO] [TRAIN] epoch: 109, iter: 40440/160000, loss: 0.0739, lr: 0.000045, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6699 samples/sec | ETA 39:46:38 2021-08-22 03:00:26 [INFO] [TRAIN] epoch: 109, iter: 40450/160000, loss: 0.0824, lr: 0.000045, batch_cost: 1.1990, reader_cost: 0.00017, ips: 1.6681 samples/sec | ETA 39:48:58 2021-08-22 03:00:38 [INFO] [TRAIN] epoch: 109, iter: 40460/160000, loss: 0.0834, lr: 0.000045, batch_cost: 1.2062, reader_cost: 0.00017, ips: 1.6581 samples/sec | ETA 40:03:05 2021-08-22 03:00:50 [INFO] [TRAIN] epoch: 109, iter: 40470/160000, loss: 0.0912, lr: 0.000045, batch_cost: 1.2039, reader_cost: 0.00017, ips: 1.6612 samples/sec | ETA 39:58:27 2021-08-22 03:01:03 [INFO] [TRAIN] epoch: 109, iter: 40480/160000, loss: 0.0742, lr: 0.000045, batch_cost: 1.2098, reader_cost: 0.00017, ips: 1.6532 samples/sec | ETA 40:09:51 2021-08-22 03:01:14 [INFO] [TRAIN] epoch: 109, iter: 40490/160000, loss: 0.0727, lr: 0.000045, batch_cost: 1.1938, reader_cost: 0.00018, ips: 1.6753 samples/sec | ETA 39:37:51 2021-08-22 03:01:26 [INFO] [TRAIN] epoch: 109, iter: 40500/160000, loss: 0.0702, lr: 0.000045, batch_cost: 1.1942, reader_cost: 0.00018, ips: 1.6747 samples/sec | ETA 39:38:30 2021-08-22 03:01:38 [INFO] [TRAIN] epoch: 109, iter: 40510/160000, loss: 0.0781, lr: 0.000045, batch_cost: 1.2087, reader_cost: 0.00017, ips: 1.6546 samples/sec | ETA 40:07:12 2021-08-22 03:01:50 [INFO] [TRAIN] epoch: 109, iter: 40520/160000, loss: 0.0576, lr: 0.000045, batch_cost: 1.2000, reader_cost: 0.00016, ips: 1.6667 samples/sec | ETA 39:49:36 2021-08-22 03:02:03 [INFO] [TRAIN] epoch: 109, iter: 40530/160000, loss: 0.0975, lr: 0.000045, batch_cost: 1.2079, reader_cost: 0.00017, ips: 1.6557 samples/sec | ETA 40:05:09 2021-08-22 03:02:14 [INFO] [TRAIN] epoch: 109, iter: 40540/160000, loss: 0.0942, lr: 0.000045, batch_cost: 1.1834, reader_cost: 0.00016, ips: 1.6900 samples/sec | ETA 39:16:13 2021-08-22 03:02:28 [INFO] [TRAIN] epoch: 110, iter: 40550/160000, loss: 0.0777, lr: 0.000045, batch_cost: 1.3978, reader_cost: 0.16709, ips: 1.4309 samples/sec | ETA 46:22:42 2021-08-22 03:02:40 [INFO] [TRAIN] epoch: 110, iter: 40560/160000, loss: 0.0720, lr: 0.000045, batch_cost: 1.1936, reader_cost: 0.00067, ips: 1.6756 samples/sec | ETA 39:36:04 2021-08-22 03:02:52 [INFO] [TRAIN] epoch: 110, iter: 40570/160000, loss: 0.0707, lr: 0.000045, batch_cost: 1.1866, reader_cost: 0.00017, ips: 1.6855 samples/sec | ETA 39:21:52 2021-08-22 03:03:04 [INFO] [TRAIN] epoch: 110, iter: 40580/160000, loss: 0.0574, lr: 0.000045, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6817 samples/sec | ETA 39:27:06 2021-08-22 03:03:16 [INFO] [TRAIN] epoch: 110, iter: 40590/160000, loss: 0.0648, lr: 0.000045, batch_cost: 1.1916, reader_cost: 0.00016, ips: 1.6784 samples/sec | ETA 39:31:28 2021-08-22 03:03:28 [INFO] [TRAIN] epoch: 110, iter: 40600/160000, loss: 0.0726, lr: 0.000045, batch_cost: 1.1907, reader_cost: 0.00016, 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[INFO] [TRAIN] epoch: 110, iter: 40720/160000, loss: 0.0759, lr: 0.000045, batch_cost: 1.1843, reader_cost: 0.00016, ips: 1.6887 samples/sec | ETA 39:14:24 2021-08-22 03:06:03 [INFO] [TRAIN] epoch: 110, iter: 40730/160000, loss: 0.0827, lr: 0.000045, batch_cost: 1.1885, reader_cost: 0.00016, ips: 1.6827 samples/sec | ETA 39:22:37 2021-08-22 03:06:15 [INFO] [TRAIN] epoch: 110, iter: 40740/160000, loss: 0.0754, lr: 0.000045, batch_cost: 1.1951, reader_cost: 0.00016, ips: 1.6735 samples/sec | ETA 39:35:26 2021-08-22 03:06:27 [INFO] [TRAIN] epoch: 110, iter: 40750/160000, loss: 0.0749, lr: 0.000045, batch_cost: 1.1975, reader_cost: 0.00016, ips: 1.6702 samples/sec | ETA 39:39:57 2021-08-22 03:06:39 [INFO] [TRAIN] epoch: 110, iter: 40760/160000, loss: 0.0730, lr: 0.000045, batch_cost: 1.1927, reader_cost: 0.00016, ips: 1.6769 samples/sec | ETA 39:30:13 2021-08-22 03:06:51 [INFO] [TRAIN] epoch: 110, iter: 40770/160000, loss: 0.0916, lr: 0.000045, batch_cost: 1.1848, reader_cost: 0.00016, 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[INFO] [TRAIN] epoch: 110, iter: 40890/160000, loss: 0.0658, lr: 0.000045, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6732 samples/sec | ETA 39:32:50 2021-08-22 03:09:26 [INFO] [TRAIN] epoch: 110, iter: 40900/160000, loss: 0.0647, lr: 0.000045, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 39:23:02 2021-08-22 03:09:37 [INFO] [TRAIN] epoch: 110, iter: 40910/160000, loss: 0.0749, lr: 0.000045, batch_cost: 1.1852, reader_cost: 0.00016, ips: 1.6875 samples/sec | ETA 39:12:19 2021-08-22 03:09:49 [INFO] [TRAIN] epoch: 110, iter: 40920/160000, loss: 0.0641, lr: 0.000045, batch_cost: 1.1625, reader_cost: 0.00012, ips: 1.7204 samples/sec | ETA 38:27:15 2021-08-22 03:10:03 [INFO] [TRAIN] epoch: 111, iter: 40930/160000, loss: 0.0712, lr: 0.000045, batch_cost: 1.4171, reader_cost: 0.15910, ips: 1.4113 samples/sec | ETA 46:52:17 2021-08-22 03:10:15 [INFO] [TRAIN] epoch: 111, iter: 40940/160000, loss: 0.1079, lr: 0.000045, batch_cost: 1.1910, reader_cost: 0.00065, 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[INFO] [TRAIN] epoch: 111, iter: 41060/160000, loss: 0.0689, lr: 0.000045, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 39:24:24 2021-08-22 03:12:50 [INFO] [TRAIN] epoch: 111, iter: 41070/160000, loss: 0.0849, lr: 0.000045, batch_cost: 1.1996, reader_cost: 0.00017, ips: 1.6672 samples/sec | ETA 39:37:51 2021-08-22 03:13:02 [INFO] [TRAIN] epoch: 111, iter: 41080/160000, loss: 0.0876, lr: 0.000045, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 39:16:38 2021-08-22 03:13:14 [INFO] [TRAIN] epoch: 111, iter: 41090/160000, loss: 0.0804, lr: 0.000045, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 39:15:51 2021-08-22 03:13:26 [INFO] [TRAIN] epoch: 111, iter: 41100/160000, loss: 0.0739, lr: 0.000045, batch_cost: 1.1830, reader_cost: 0.00016, ips: 1.6906 samples/sec | ETA 39:04:19 2021-08-22 03:13:38 [INFO] [TRAIN] epoch: 111, iter: 41110/160000, loss: 0.0864, lr: 0.000045, batch_cost: 1.1898, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 111, iter: 41230/160000, loss: 0.0723, lr: 0.000045, batch_cost: 1.1842, reader_cost: 0.00016, ips: 1.6889 samples/sec | ETA 39:04:11 2021-08-22 03:16:12 [INFO] [TRAIN] epoch: 111, iter: 41240/160000, loss: 0.0734, lr: 0.000045, batch_cost: 1.1872, reader_cost: 0.00016, ips: 1.6847 samples/sec | ETA 39:09:50 2021-08-22 03:16:24 [INFO] [TRAIN] epoch: 111, iter: 41250/160000, loss: 0.0643, lr: 0.000045, batch_cost: 1.1851, reader_cost: 0.00017, ips: 1.6876 samples/sec | ETA 39:05:30 2021-08-22 03:16:36 [INFO] [TRAIN] epoch: 111, iter: 41260/160000, loss: 0.0817, lr: 0.000045, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6804 samples/sec | ETA 39:15:20 2021-08-22 03:16:48 [INFO] [TRAIN] epoch: 111, iter: 41270/160000, loss: 0.0648, lr: 0.000045, batch_cost: 1.2011, reader_cost: 0.00017, ips: 1.6651 samples/sec | ETA 39:36:47 2021-08-22 03:17:00 [INFO] [TRAIN] epoch: 111, iter: 41280/160000, loss: 0.0826, lr: 0.000045, batch_cost: 1.1834, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 112, iter: 41400/160000, loss: 0.0830, lr: 0.000044, batch_cost: 1.1872, reader_cost: 0.00016, ips: 1.6847 samples/sec | ETA 39:06:39 2021-08-22 03:19:37 [INFO] [TRAIN] epoch: 112, iter: 41410/160000, loss: 0.0836, lr: 0.000044, batch_cost: 1.1881, reader_cost: 0.00016, ips: 1.6833 samples/sec | ETA 39:08:17 2021-08-22 03:19:49 [INFO] [TRAIN] epoch: 112, iter: 41420/160000, loss: 0.0794, lr: 0.000044, batch_cost: 1.1952, reader_cost: 0.00017, ips: 1.6733 samples/sec | ETA 39:22:10 2021-08-22 03:20:01 [INFO] [TRAIN] epoch: 112, iter: 41430/160000, loss: 0.0647, lr: 0.000044, batch_cost: 1.1909, reader_cost: 0.00016, ips: 1.6794 samples/sec | ETA 39:13:25 2021-08-22 03:20:13 [INFO] [TRAIN] epoch: 112, iter: 41440/160000, loss: 0.0876, lr: 0.000044, batch_cost: 1.1940, reader_cost: 0.00016, ips: 1.6751 samples/sec | ETA 39:19:16 2021-08-22 03:20:25 [INFO] [TRAIN] epoch: 112, iter: 41450/160000, loss: 0.0893, lr: 0.000044, batch_cost: 1.1961, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 112, iter: 41570/160000, loss: 0.1030, lr: 0.000044, batch_cost: 1.2063, reader_cost: 0.00017, ips: 1.6579 samples/sec | ETA 39:41:04 2021-08-22 03:23:01 [INFO] [TRAIN] epoch: 112, iter: 41580/160000, loss: 0.0747, lr: 0.000044, batch_cost: 1.1893, reader_cost: 0.00016, ips: 1.6816 samples/sec | ETA 39:07:20 2021-08-22 03:23:13 [INFO] [TRAIN] epoch: 112, iter: 41590/160000, loss: 0.0800, lr: 0.000044, batch_cost: 1.1976, reader_cost: 0.00016, ips: 1.6700 samples/sec | ETA 39:23:26 2021-08-22 03:23:25 [INFO] [TRAIN] epoch: 112, iter: 41600/160000, loss: 0.1033, lr: 0.000044, batch_cost: 1.1983, reader_cost: 0.00016, ips: 1.6691 samples/sec | ETA 39:24:36 2021-08-22 03:23:37 [INFO] [TRAIN] epoch: 112, iter: 41610/160000, loss: 0.0855, lr: 0.000044, batch_cost: 1.2045, reader_cost: 0.00016, ips: 1.6604 samples/sec | ETA 39:36:46 2021-08-22 03:23:49 [INFO] [TRAIN] epoch: 112, iter: 41620/160000, loss: 0.1013, lr: 0.000044, batch_cost: 1.1929, reader_cost: 0.00016, 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[INFO] [TRAIN] epoch: 113, iter: 41740/160000, loss: 0.0649, lr: 0.000044, batch_cost: 1.1875, reader_cost: 0.00016, ips: 1.6842 samples/sec | ETA 39:00:31 2021-08-22 03:26:26 [INFO] [TRAIN] epoch: 113, iter: 41750/160000, loss: 0.0841, lr: 0.000044, batch_cost: 1.1887, reader_cost: 0.00016, ips: 1.6825 samples/sec | ETA 39:02:43 2021-08-22 03:26:38 [INFO] [TRAIN] epoch: 113, iter: 41760/160000, loss: 0.0955, lr: 0.000044, batch_cost: 1.1886, reader_cost: 0.00016, ips: 1.6827 samples/sec | ETA 39:02:18 2021-08-22 03:26:50 [INFO] [TRAIN] epoch: 113, iter: 41770/160000, loss: 0.0726, lr: 0.000044, batch_cost: 1.1940, reader_cost: 0.00016, ips: 1.6750 samples/sec | ETA 39:12:46 2021-08-22 03:27:02 [INFO] [TRAIN] epoch: 113, iter: 41780/160000, loss: 0.0709, lr: 0.000044, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6772 samples/sec | ETA 39:09:35 2021-08-22 03:27:13 [INFO] [TRAIN] epoch: 113, iter: 41790/160000, loss: 0.0617, lr: 0.000044, batch_cost: 1.1886, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 113, iter: 41910/160000, loss: 0.0875, lr: 0.000044, batch_cost: 1.1962, reader_cost: 0.00017, ips: 1.6720 samples/sec | ETA 39:14:14 2021-08-22 03:29:49 [INFO] [TRAIN] epoch: 113, iter: 41920/160000, loss: 0.0905, lr: 0.000044, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 38:59:24 2021-08-22 03:30:01 [INFO] [TRAIN] epoch: 113, iter: 41930/160000, loss: 0.0672, lr: 0.000044, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 38:59:40 2021-08-22 03:30:13 [INFO] [TRAIN] epoch: 113, iter: 41940/160000, loss: 0.0635, lr: 0.000044, batch_cost: 1.1926, reader_cost: 0.00018, ips: 1.6770 samples/sec | ETA 39:06:41 2021-08-22 03:30:24 [INFO] [TRAIN] epoch: 113, iter: 41950/160000, loss: 0.0859, lr: 0.000044, batch_cost: 1.1931, reader_cost: 0.00016, ips: 1.6762 samples/sec | ETA 39:07:30 2021-08-22 03:30:36 [INFO] [TRAIN] epoch: 113, iter: 41960/160000, loss: 0.0786, lr: 0.000044, batch_cost: 1.1950, reader_cost: 0.00016, 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[INFO] [TRAIN] epoch: 114, iter: 42080/160000, loss: 0.0825, lr: 0.000044, batch_cost: 1.1961, reader_cost: 0.00017, ips: 1.6721 samples/sec | ETA 39:10:45 2021-08-22 03:33:13 [INFO] [TRAIN] epoch: 114, iter: 42090/160000, loss: 0.0851, lr: 0.000044, batch_cost: 1.1928, reader_cost: 0.00018, ips: 1.6768 samples/sec | ETA 39:04:00 2021-08-22 03:33:25 [INFO] [TRAIN] epoch: 114, iter: 42100/160000, loss: 0.0581, lr: 0.000044, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6780 samples/sec | ETA 39:02:05 2021-08-22 03:33:37 [INFO] [TRAIN] epoch: 114, iter: 42110/160000, loss: 0.0815, lr: 0.000044, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 39:04:05 2021-08-22 03:33:49 [INFO] [TRAIN] epoch: 114, iter: 42120/160000, loss: 0.0831, lr: 0.000044, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6781 samples/sec | ETA 39:01:29 2021-08-22 03:34:01 [INFO] [TRAIN] epoch: 114, iter: 42130/160000, loss: 0.0642, lr: 0.000044, batch_cost: 1.1854, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 114, iter: 42250/160000, loss: 0.0610, lr: 0.000044, batch_cost: 1.2011, reader_cost: 0.00017, ips: 1.6651 samples/sec | ETA 39:17:12 2021-08-22 03:36:36 [INFO] [TRAIN] epoch: 114, iter: 42260/160000, loss: 0.0758, lr: 0.000044, batch_cost: 1.1976, reader_cost: 0.00018, ips: 1.6700 samples/sec | ETA 39:10:06 2021-08-22 03:36:48 [INFO] [TRAIN] epoch: 114, iter: 42270/160000, loss: 0.0900, lr: 0.000044, batch_cost: 1.1901, reader_cost: 0.00018, ips: 1.6805 samples/sec | ETA 38:55:11 2021-08-22 03:36:59 [INFO] [TRAIN] epoch: 114, iter: 42280/160000, loss: 0.0789, lr: 0.000044, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 38:51:46 2021-08-22 03:37:11 [INFO] [TRAIN] epoch: 114, iter: 42290/160000, loss: 0.0650, lr: 0.000044, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6724 samples/sec | ETA 39:06:04 2021-08-22 03:37:23 [INFO] [TRAIN] epoch: 114, iter: 42300/160000, loss: 0.0801, lr: 0.000044, batch_cost: 1.1965, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 115, iter: 42420/160000, loss: 0.0862, lr: 0.000044, batch_cost: 1.1915, reader_cost: 0.00068, ips: 1.6786 samples/sec | ETA 38:54:52 2021-08-22 03:40:00 [INFO] [TRAIN] epoch: 115, iter: 42430/160000, loss: 0.0622, lr: 0.000044, batch_cost: 1.1956, reader_cost: 0.00017, ips: 1.6728 samples/sec | ETA 39:02:45 2021-08-22 03:40:12 [INFO] [TRAIN] epoch: 115, iter: 42440/160000, loss: 0.0576, lr: 0.000044, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6798 samples/sec | ETA 38:52:49 2021-08-22 03:40:24 [INFO] [TRAIN] epoch: 115, iter: 42450/160000, loss: 0.0654, lr: 0.000044, batch_cost: 1.2004, reader_cost: 0.00018, ips: 1.6661 samples/sec | ETA 39:11:49 2021-08-22 03:40:36 [INFO] [TRAIN] epoch: 115, iter: 42460/160000, loss: 0.0730, lr: 0.000044, batch_cost: 1.1895, reader_cost: 0.00018, ips: 1.6814 samples/sec | ETA 38:50:12 2021-08-22 03:40:48 [INFO] [TRAIN] epoch: 115, iter: 42470/160000, loss: 0.0672, lr: 0.000044, batch_cost: 1.1971, reader_cost: 0.00019, 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[INFO] [TRAIN] epoch: 115, iter: 42590/160000, loss: 0.0730, lr: 0.000044, batch_cost: 1.2031, reader_cost: 0.00016, ips: 1.6624 samples/sec | ETA 39:14:13 2021-08-22 03:43:24 [INFO] [TRAIN] epoch: 115, iter: 42600/160000, loss: 0.0779, lr: 0.000044, batch_cost: 1.2110, reader_cost: 0.00016, ips: 1.6515 samples/sec | ETA 39:29:32 2021-08-22 03:43:36 [INFO] [TRAIN] epoch: 115, iter: 42610/160000, loss: 0.0978, lr: 0.000044, batch_cost: 1.2093, reader_cost: 0.00016, ips: 1.6539 samples/sec | ETA 39:25:58 2021-08-22 03:43:48 [INFO] [TRAIN] epoch: 115, iter: 42620/160000, loss: 0.0739, lr: 0.000044, batch_cost: 1.2006, reader_cost: 0.00016, ips: 1.6658 samples/sec | ETA 39:08:50 2021-08-22 03:44:00 [INFO] [TRAIN] epoch: 115, iter: 42630/160000, loss: 0.0735, lr: 0.000044, batch_cost: 1.1991, reader_cost: 0.00017, ips: 1.6679 samples/sec | ETA 39:05:43 2021-08-22 03:44:12 [INFO] [TRAIN] epoch: 115, iter: 42640/160000, loss: 0.0797, lr: 0.000044, batch_cost: 1.1915, reader_cost: 0.00018, 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[INFO] [TRAIN] epoch: 115, iter: 42760/160000, loss: 0.0841, lr: 0.000044, batch_cost: 1.1926, reader_cost: 0.00017, ips: 1.6769 samples/sec | ETA 38:50:25 2021-08-22 03:46:46 [INFO] [TRAIN] epoch: 115, iter: 42770/160000, loss: 0.0902, lr: 0.000044, batch_cost: 1.1912, reader_cost: 0.00017, ips: 1.6790 samples/sec | ETA 38:47:20 2021-08-22 03:46:58 [INFO] [TRAIN] epoch: 115, iter: 42780/160000, loss: 0.0812, lr: 0.000044, batch_cost: 1.1635, reader_cost: 0.00013, ips: 1.7189 samples/sec | ETA 37:53:09 2021-08-22 03:47:12 [INFO] [TRAIN] epoch: 116, iter: 42790/160000, loss: 0.0855, lr: 0.000044, batch_cost: 1.4003, reader_cost: 0.19872, ips: 1.4283 samples/sec | ETA 45:35:24 2021-08-22 03:47:24 [INFO] [TRAIN] epoch: 116, iter: 42800/160000, loss: 0.0661, lr: 0.000044, batch_cost: 1.2026, reader_cost: 0.00065, ips: 1.6631 samples/sec | ETA 39:09:04 2021-08-22 03:47:36 [INFO] [TRAIN] epoch: 116, iter: 42810/160000, loss: 0.0654, lr: 0.000044, batch_cost: 1.1949, reader_cost: 0.00018, 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[INFO] [TRAIN] epoch: 116, iter: 42930/160000, loss: 0.0837, lr: 0.000044, batch_cost: 1.1872, reader_cost: 0.00017, ips: 1.6846 samples/sec | ETA 38:36:28 2021-08-22 03:50:11 [INFO] [TRAIN] epoch: 116, iter: 42940/160000, loss: 0.0852, lr: 0.000044, batch_cost: 1.1998, reader_cost: 0.00017, ips: 1.6669 samples/sec | ETA 39:00:53 2021-08-22 03:50:23 [INFO] [TRAIN] epoch: 116, iter: 42950/160000, loss: 0.0581, lr: 0.000044, batch_cost: 1.1916, reader_cost: 0.00018, ips: 1.6785 samples/sec | ETA 38:44:33 2021-08-22 03:50:35 [INFO] [TRAIN] epoch: 116, iter: 42960/160000, loss: 0.0700, lr: 0.000044, batch_cost: 1.2051, reader_cost: 0.00017, ips: 1.6596 samples/sec | ETA 39:10:46 2021-08-22 03:50:47 [INFO] [TRAIN] epoch: 116, iter: 42970/160000, loss: 0.0863, lr: 0.000044, batch_cost: 1.1870, reader_cost: 0.00017, ips: 1.6849 samples/sec | ETA 38:35:16 2021-08-22 03:50:59 [INFO] [TRAIN] epoch: 116, iter: 42980/160000, loss: 0.0849, lr: 0.000044, batch_cost: 1.1845, reader_cost: 0.00016, 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[INFO] [TRAIN] epoch: 116, iter: 43100/160000, loss: 0.0685, lr: 0.000044, batch_cost: 1.1971, reader_cost: 0.00016, ips: 1.6707 samples/sec | ETA 38:52:20 2021-08-22 03:53:34 [INFO] [TRAIN] epoch: 116, iter: 43110/160000, loss: 0.0762, lr: 0.000044, batch_cost: 1.1888, reader_cost: 0.00017, ips: 1.6824 samples/sec | ETA 38:35:59 2021-08-22 03:53:46 [INFO] [TRAIN] epoch: 116, iter: 43120/160000, loss: 0.0844, lr: 0.000044, batch_cost: 1.2001, reader_cost: 0.00018, ips: 1.6666 samples/sec | ETA 38:57:45 2021-08-22 03:53:57 [INFO] [TRAIN] epoch: 116, iter: 43130/160000, loss: 0.0820, lr: 0.000044, batch_cost: 1.1883, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 38:34:41 2021-08-22 03:54:09 [INFO] [TRAIN] epoch: 116, iter: 43140/160000, loss: 0.0777, lr: 0.000044, batch_cost: 1.1920, reader_cost: 0.00018, ips: 1.6778 samples/sec | ETA 38:41:39 2021-08-22 03:54:21 [INFO] [TRAIN] epoch: 116, iter: 43150/160000, loss: 0.0789, lr: 0.000044, batch_cost: 1.1652, reader_cost: 0.00012, 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[INFO] [TRAIN] epoch: 117, iter: 43270/160000, loss: 0.0728, lr: 0.000044, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6765 samples/sec | ETA 38:40:51 2021-08-22 03:56:58 [INFO] [TRAIN] epoch: 117, iter: 43280/160000, loss: 0.0707, lr: 0.000044, batch_cost: 1.2068, reader_cost: 0.00017, ips: 1.6573 samples/sec | ETA 39:07:34 2021-08-22 03:57:10 [INFO] [TRAIN] epoch: 117, iter: 43290/160000, loss: 0.0640, lr: 0.000044, batch_cost: 1.1932, reader_cost: 0.00017, ips: 1.6762 samples/sec | ETA 38:40:59 2021-08-22 03:57:22 [INFO] [TRAIN] epoch: 117, iter: 43300/160000, loss: 0.0651, lr: 0.000044, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6808 samples/sec | ETA 38:34:25 2021-08-22 03:57:34 [INFO] [TRAIN] epoch: 117, iter: 43310/160000, loss: 0.0702, lr: 0.000044, batch_cost: 1.1871, reader_cost: 0.00017, ips: 1.6848 samples/sec | ETA 38:28:42 2021-08-22 03:57:46 [INFO] [TRAIN] epoch: 117, iter: 43320/160000, loss: 0.0766, lr: 0.000044, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6753 samples/sec | ETA 38:41:35 2021-08-22 03:57:58 [INFO] [TRAIN] epoch: 117, iter: 43330/160000, loss: 0.0725, lr: 0.000044, batch_cost: 1.2011, reader_cost: 0.00017, ips: 1.6652 samples/sec | ETA 38:55:30 2021-08-22 03:58:10 [INFO] [TRAIN] epoch: 117, iter: 43340/160000, loss: 0.0771, lr: 0.000044, batch_cost: 1.2070, reader_cost: 0.00017, ips: 1.6570 samples/sec | ETA 39:06:52 2021-08-22 03:58:22 [INFO] [TRAIN] epoch: 117, iter: 43350/160000, loss: 0.0892, lr: 0.000044, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 38:32:45 2021-08-22 03:58:34 [INFO] [TRAIN] epoch: 117, iter: 43360/160000, loss: 0.0770, lr: 0.000044, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6744 samples/sec | ETA 38:42:02 2021-08-22 03:58:46 [INFO] [TRAIN] epoch: 117, iter: 43370/160000, loss: 0.0860, lr: 0.000044, batch_cost: 1.2015, reader_cost: 0.00017, ips: 1.6646 samples/sec | ETA 38:55:30 2021-08-22 03:58:58 [INFO] [TRAIN] epoch: 117, iter: 43380/160000, loss: 0.0771, lr: 0.000044, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 38:37:01 2021-08-22 03:59:10 [INFO] [TRAIN] epoch: 117, iter: 43390/160000, loss: 0.0868, lr: 0.000044, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 38:31:56 2021-08-22 03:59:22 [INFO] [TRAIN] epoch: 117, iter: 43400/160000, loss: 0.0740, lr: 0.000044, batch_cost: 1.1824, reader_cost: 0.00017, ips: 1.6914 samples/sec | ETA 38:17:50 2021-08-22 03:59:33 [INFO] [TRAIN] epoch: 117, iter: 43410/160000, loss: 0.0725, lr: 0.000044, batch_cost: 1.1906, reader_cost: 0.00016, ips: 1.6799 samples/sec | ETA 38:33:27 2021-08-22 03:59:45 [INFO] [TRAIN] epoch: 117, iter: 43420/160000, loss: 0.0747, lr: 0.000044, batch_cost: 1.1856, reader_cost: 0.00017, ips: 1.6869 samples/sec | ETA 38:23:38 2021-08-22 03:59:57 [INFO] [TRAIN] epoch: 117, iter: 43430/160000, loss: 0.0800, lr: 0.000044, batch_cost: 1.1988, reader_cost: 0.00017, ips: 1.6683 samples/sec | ETA 38:49:04 2021-08-22 04:00:09 [INFO] [TRAIN] epoch: 117, iter: 43440/160000, loss: 0.0748, lr: 0.000044, batch_cost: 1.1970, reader_cost: 0.00017, ips: 1.6709 samples/sec | ETA 38:45:21 2021-08-22 04:00:21 [INFO] [TRAIN] epoch: 117, iter: 43450/160000, loss: 0.0791, lr: 0.000044, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 38:33:25 2021-08-22 04:00:33 [INFO] [TRAIN] epoch: 117, iter: 43460/160000, loss: 0.0743, lr: 0.000044, batch_cost: 1.1941, reader_cost: 0.00017, ips: 1.6749 samples/sec | ETA 38:39:21 2021-08-22 04:00:45 [INFO] [TRAIN] epoch: 117, iter: 43470/160000, loss: 0.0763, lr: 0.000044, batch_cost: 1.1981, reader_cost: 0.00018, ips: 1.6694 samples/sec | ETA 38:46:49 2021-08-22 04:00:57 [INFO] [TRAIN] epoch: 117, iter: 43480/160000, loss: 0.0815, lr: 0.000044, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6832 samples/sec | ETA 38:27:30 2021-08-22 04:01:09 [INFO] [TRAIN] epoch: 117, iter: 43490/160000, loss: 0.0714, lr: 0.000044, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6794 samples/sec | ETA 38:32:29 2021-08-22 04:01:21 [INFO] [TRAIN] epoch: 117, iter: 43500/160000, loss: 0.0714, lr: 0.000044, batch_cost: 1.1891, reader_cost: 0.00017, ips: 1.6819 samples/sec | ETA 38:28:50 2021-08-22 04:01:33 [INFO] [TRAIN] epoch: 117, iter: 43510/160000, loss: 0.0763, lr: 0.000044, batch_cost: 1.1869, reader_cost: 0.00016, ips: 1.6851 samples/sec | ETA 38:24:20 2021-08-22 04:01:44 [INFO] [TRAIN] epoch: 117, iter: 43520/160000, loss: 0.0661, lr: 0.000044, batch_cost: 1.1736, reader_cost: 0.00013, ips: 1.7042 samples/sec | ETA 37:58:18 2021-08-22 04:01:58 [INFO] [TRAIN] epoch: 118, iter: 43530/160000, loss: 0.0761, lr: 0.000044, batch_cost: 1.3908, reader_cost: 0.15416, ips: 1.4380 samples/sec | ETA 44:59:46 2021-08-22 04:02:10 [INFO] [TRAIN] epoch: 118, iter: 43540/160000, loss: 0.0961, lr: 0.000044, batch_cost: 1.1898, reader_cost: 0.00066, ips: 1.6810 samples/sec | ETA 38:29:19 2021-08-22 04:02:22 [INFO] [TRAIN] epoch: 118, iter: 43550/160000, loss: 0.0684, lr: 0.000044, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 38:33:21 2021-08-22 04:02:34 [INFO] [TRAIN] epoch: 118, iter: 43560/160000, loss: 0.0784, lr: 0.000044, batch_cost: 1.2042, reader_cost: 0.00017, ips: 1.6608 samples/sec | ETA 38:56:59 2021-08-22 04:02:46 [INFO] [TRAIN] epoch: 118, iter: 43570/160000, loss: 0.0784, lr: 0.000044, batch_cost: 1.2006, reader_cost: 0.00017, ips: 1.6659 samples/sec | ETA 38:49:43 2021-08-22 04:02:58 [INFO] [TRAIN] epoch: 118, iter: 43580/160000, loss: 0.1042, lr: 0.000044, batch_cost: 1.2075, reader_cost: 0.00016, ips: 1.6563 samples/sec | ETA 39:03:00 2021-08-22 04:03:10 [INFO] [TRAIN] epoch: 118, iter: 43590/160000, loss: 0.0703, lr: 0.000044, batch_cost: 1.1910, reader_cost: 0.00016, ips: 1.6792 samples/sec | ETA 38:30:47 2021-08-22 04:03:22 [INFO] [TRAIN] epoch: 118, iter: 43600/160000, loss: 0.0701, lr: 0.000044, batch_cost: 1.2013, reader_cost: 0.00016, ips: 1.6648 samples/sec | ETA 38:50:34 2021-08-22 04:03:34 [INFO] [TRAIN] epoch: 118, iter: 43610/160000, loss: 0.0700, lr: 0.000044, batch_cost: 1.2116, reader_cost: 0.00017, ips: 1.6507 samples/sec | ETA 39:10:20 2021-08-22 04:03:46 [INFO] [TRAIN] epoch: 118, iter: 43620/160000, loss: 0.0708, lr: 0.000044, batch_cost: 1.2133, reader_cost: 0.00017, ips: 1.6484 samples/sec | ETA 39:13:19 2021-08-22 04:03:59 [INFO] [TRAIN] epoch: 118, iter: 43630/160000, loss: 0.0601, lr: 0.000044, batch_cost: 1.2144, reader_cost: 0.00017, ips: 1.6469 samples/sec | ETA 39:15:16 2021-08-22 04:04:11 [INFO] [TRAIN] epoch: 118, iter: 43640/160000, loss: 0.0661, lr: 0.000044, batch_cost: 1.2066, reader_cost: 0.00017, ips: 1.6575 samples/sec | ETA 39:00:01 2021-08-22 04:04:23 [INFO] [TRAIN] epoch: 118, iter: 43650/160000, loss: 0.0671, lr: 0.000044, batch_cost: 1.1956, reader_cost: 0.00017, ips: 1.6728 samples/sec | ETA 38:38:31 2021-08-22 04:04:34 [INFO] [TRAIN] epoch: 118, iter: 43660/160000, loss: 0.0593, lr: 0.000044, batch_cost: 1.1857, reader_cost: 0.00016, ips: 1.6868 samples/sec | ETA 38:19:00 2021-08-22 04:04:46 [INFO] [TRAIN] epoch: 118, iter: 43670/160000, loss: 0.0802, lr: 0.000044, batch_cost: 1.2060, reader_cost: 0.00018, ips: 1.6583 samples/sec | ETA 38:58:16 2021-08-22 04:04:58 [INFO] [TRAIN] epoch: 118, iter: 43680/160000, loss: 0.0618, lr: 0.000044, batch_cost: 1.1874, reader_cost: 0.00017, ips: 1.6844 samples/sec | ETA 38:21:56 2021-08-22 04:05:10 [INFO] [TRAIN] epoch: 118, iter: 43690/160000, loss: 0.0748, lr: 0.000044, batch_cost: 1.2008, reader_cost: 0.00017, ips: 1.6656 samples/sec | ETA 38:47:45 2021-08-22 04:05:22 [INFO] [TRAIN] epoch: 118, iter: 43700/160000, loss: 0.0773, lr: 0.000044, batch_cost: 1.1911, reader_cost: 0.00016, ips: 1.6791 samples/sec | ETA 38:28:46 2021-08-22 04:05:34 [INFO] [TRAIN] epoch: 118, iter: 43710/160000, loss: 0.0859, lr: 0.000044, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 38:31:43 2021-08-22 04:05:46 [INFO] [TRAIN] epoch: 118, iter: 43720/160000, loss: 0.0680, lr: 0.000044, batch_cost: 1.1956, reader_cost: 0.00017, ips: 1.6728 samples/sec | ETA 38:37:04 2021-08-22 04:05:58 [INFO] [TRAIN] epoch: 118, iter: 43730/160000, loss: 0.0687, lr: 0.000044, batch_cost: 1.1826, reader_cost: 0.00016, ips: 1.6911 samples/sec | ETA 38:11:45 2021-08-22 04:06:10 [INFO] [TRAIN] epoch: 118, iter: 43740/160000, loss: 0.0928, lr: 0.000044, batch_cost: 1.1922, reader_cost: 0.00016, ips: 1.6776 samples/sec | ETA 38:30:01 2021-08-22 04:06:22 [INFO] [TRAIN] epoch: 118, iter: 43750/160000, loss: 0.0805, lr: 0.000044, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6730 samples/sec | ETA 38:36:14 2021-08-22 04:06:34 [INFO] [TRAIN] epoch: 118, iter: 43760/160000, loss: 0.0634, lr: 0.000044, batch_cost: 1.1949, reader_cost: 0.00017, ips: 1.6738 samples/sec | ETA 38:34:52 2021-08-22 04:06:46 [INFO] [TRAIN] epoch: 118, iter: 43770/160000, loss: 0.0757, lr: 0.000044, batch_cost: 1.1923, reader_cost: 0.00018, ips: 1.6775 samples/sec | ETA 38:29:35 2021-08-22 04:06:58 [INFO] [TRAIN] epoch: 118, iter: 43780/160000, loss: 0.0669, lr: 0.000044, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6778 samples/sec | ETA 38:28:55 2021-08-22 04:07:10 [INFO] [TRAIN] epoch: 118, iter: 43790/160000, loss: 0.0733, lr: 0.000044, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 38:27:15 2021-08-22 04:07:22 [INFO] [TRAIN] epoch: 118, iter: 43800/160000, loss: 0.0650, lr: 0.000044, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6743 samples/sec | ETA 38:33:25 2021-08-22 04:07:33 [INFO] [TRAIN] epoch: 118, iter: 43810/160000, loss: 0.0722, lr: 0.000044, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 38:30:29 2021-08-22 04:07:45 [INFO] [TRAIN] epoch: 118, iter: 43820/160000, loss: 0.0720, lr: 0.000044, batch_cost: 1.2000, reader_cost: 0.00017, ips: 1.6666 samples/sec | ETA 38:43:39 2021-08-22 04:07:57 [INFO] [TRAIN] epoch: 118, iter: 43830/160000, loss: 0.0788, lr: 0.000044, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6803 samples/sec | ETA 38:24:33 2021-08-22 04:08:09 [INFO] [TRAIN] epoch: 118, iter: 43840/160000, loss: 0.0778, lr: 0.000044, batch_cost: 1.1997, reader_cost: 0.00017, ips: 1.6670 samples/sec | ETA 38:42:40 2021-08-22 04:08:21 [INFO] [TRAIN] epoch: 118, iter: 43850/160000, loss: 0.0716, lr: 0.000044, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6769 samples/sec | ETA 38:28:52 2021-08-22 04:08:33 [INFO] [TRAIN] epoch: 118, iter: 43860/160000, loss: 0.0734, lr: 0.000044, batch_cost: 1.1913, reader_cost: 0.00018, ips: 1.6789 samples/sec | ETA 38:25:52 2021-08-22 04:08:45 [INFO] [TRAIN] epoch: 118, iter: 43870/160000, loss: 0.0734, lr: 0.000044, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6786 samples/sec | ETA 38:26:08 2021-08-22 04:08:57 [INFO] [TRAIN] epoch: 118, iter: 43880/160000, loss: 0.0607, lr: 0.000044, batch_cost: 1.1879, reader_cost: 0.00017, ips: 1.6837 samples/sec | ETA 38:18:54 2021-08-22 04:09:09 [INFO] [TRAIN] epoch: 118, iter: 43890/160000, loss: 0.0792, lr: 0.000044, batch_cost: 1.1779, reader_cost: 0.00014, ips: 1.6979 samples/sec | ETA 37:59:25 2021-08-22 04:09:23 [INFO] [TRAIN] epoch: 119, iter: 43900/160000, loss: 0.0680, lr: 0.000044, batch_cost: 1.3759, reader_cost: 0.16889, ips: 1.4536 samples/sec | ETA 44:22:20 2021-08-22 04:09:34 [INFO] [TRAIN] epoch: 119, iter: 43910/160000, loss: 0.0777, lr: 0.000044, batch_cost: 1.1898, reader_cost: 0.00065, ips: 1.6810 samples/sec | ETA 38:22:01 2021-08-22 04:09:46 [INFO] [TRAIN] epoch: 119, iter: 43920/160000, loss: 0.0860, lr: 0.000044, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6771 samples/sec | ETA 38:27:09 2021-08-22 04:09:58 [INFO] [TRAIN] epoch: 119, iter: 43930/160000, loss: 0.0718, lr: 0.000044, batch_cost: 1.1859, reader_cost: 0.00016, ips: 1.6864 samples/sec | ETA 38:14:11 2021-08-22 04:10:10 [INFO] [TRAIN] epoch: 119, iter: 43940/160000, loss: 0.0683, lr: 0.000044, batch_cost: 1.1841, reader_cost: 0.00017, ips: 1.6890 samples/sec | ETA 38:10:30 2021-08-22 04:10:22 [INFO] [TRAIN] epoch: 119, iter: 43950/160000, loss: 0.1148, lr: 0.000044, batch_cost: 1.1950, reader_cost: 0.00016, ips: 1.6737 samples/sec | ETA 38:31:18 2021-08-22 04:10:34 [INFO] [TRAIN] epoch: 119, iter: 43960/160000, loss: 0.0789, lr: 0.000044, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 38:25:18 2021-08-22 04:10:46 [INFO] [TRAIN] epoch: 119, iter: 43970/160000, loss: 0.0737, lr: 0.000044, batch_cost: 1.1855, reader_cost: 0.00016, ips: 1.6871 samples/sec | ETA 38:12:31 2021-08-22 04:10:58 [INFO] [TRAIN] epoch: 119, iter: 43980/160000, loss: 0.0599, lr: 0.000044, batch_cost: 1.1860, reader_cost: 0.00017, ips: 1.6864 samples/sec | ETA 38:13:16 2021-08-22 04:11:10 [INFO] [TRAIN] epoch: 119, iter: 43990/160000, loss: 0.1087, lr: 0.000044, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 38:21:48 2021-08-22 04:11:22 [INFO] [TRAIN] epoch: 119, iter: 44000/160000, loss: 0.0893, lr: 0.000044, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6736 samples/sec | ETA 38:30:19 2021-08-22 04:11:22 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:45 - batch_cost: 2.3048 - reader cost: 0.3622 2/125 [..............................] - ETA: 4:18 - batch_cost: 2.1052 - reader cost: 0.1812 3/125 [..............................] - ETA: 4:07 - batch_cost: 2.0321 - reader cost: 0.1209 4/125 [..............................] - ETA: 4:01 - batch_cost: 1.9918 - reader cost: 0.0907 5/125 [>.............................] - ETA: 3:56 - batch_cost: 1.9681 - reader cost: 0.0726 6/125 [>.............................] - ETA: 3:52 - batch_cost: 1.9530 - reader cost: 0.0605 7/125 [>.............................] - ETA: 3:49 - batch_cost: 1.9407 - reader cost: 0.0519 8/125 [>.............................] - ETA: 3:46 - batch_cost: 1.9344 - reader cost: 0.0454 9/125 [=>............................] - ETA: 3:43 - batch_cost: 1.9295 - reader cost: 0.0404 10/125 [=>............................] - ETA: 3:41 - batch_cost: 1.9262 - reader cost: 0.0364 11/125 [=>............................] - ETA: 3:39 - batch_cost: 1.9221 - reader cost: 0.0331 12/125 [=>............................] - ETA: 3:37 - batch_cost: 1.9203 - reader cost: 0.0304 13/125 [==>...........................] - ETA: 3:34 - batch_cost: 1.9175 - reader cost: 0.0280 14/125 [==>...........................] - ETA: 3:32 - batch_cost: 1.9162 - reader cost: 0.0260 15/125 [==>...........................] - ETA: 3:30 - batch_cost: 1.9143 - reader cost: 0.0243 16/125 [==>...........................] - ETA: 3:28 - batch_cost: 1.9125 - reader cost: 0.0228 17/125 [===>..........................] - ETA: 3:26 - batch_cost: 1.9110 - reader cost: 0.0215 18/125 [===>..........................] - ETA: 3:24 - batch_cost: 1.9090 - reader cost: 0.0203 19/125 [===>..........................] - ETA: 3:22 - batch_cost: 1.9079 - reader cost: 0.0192 20/125 [===>..........................] - ETA: 3:20 - batch_cost: 1.9058 - reader cost: 0.0183 21/125 [====>.........................] - ETA: 3:17 - batch_cost: 1.9031 - reader cost: 0.0174 22/125 [====>.........................] - ETA: 3:15 - batch_cost: 1.9024 - reader cost: 0.0166 23/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.9017 - reader cost: 0.0159 24/125 [====>.........................] - ETA: 3:11 - batch_cost: 1.9005 - reader cost: 0.0153 25/125 [=====>........................] - ETA: 3:10 - batch_cost: 1.8997 - reader cost: 0.0147 26/125 [=====>........................] - ETA: 3:07 - batch_cost: 1.8980 - reader cost: 0.0141 27/125 [=====>........................] - ETA: 3:05 - batch_cost: 1.8957 - reader cost: 0.0136 28/125 [=====>........................] - ETA: 3:03 - batch_cost: 1.8949 - reader cost: 0.0131 29/125 [=====>........................] - ETA: 3:01 - batch_cost: 1.8946 - reader cost: 0.0127 30/125 [======>.......................] - ETA: 3:00 - batch_cost: 1.8955 - reader cost: 0.0123 31/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8938 - reader cost: 0.0119 32/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8926 - reader cost: 0.0115 33/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8914 - reader cost: 0.0112 34/125 [=======>......................] - ETA: 2:52 - batch_cost: 1.8916 - reader cost: 0.0108 35/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8908 - reader cost: 0.0105 36/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8903 - reader cost: 0.0102 37/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8895 - reader cost: 0.0100 38/125 [========>.....................] - ETA: 2:44 - batch_cost: 1.8890 - reader cost: 0.0097 39/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8890 - reader cost: 0.0095 40/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8890 - reader cost: 0.0092 41/125 [========>.....................] - ETA: 2:38 - batch_cost: 1.8883 - reader cost: 0.0090 42/125 [=========>....................] - ETA: 2:36 - batch_cost: 1.8883 - reader cost: 0.0088 43/125 [=========>....................] - ETA: 2:34 - batch_cost: 1.8879 - reader cost: 0.0086 44/125 [=========>....................] - ETA: 2:32 - batch_cost: 1.8882 - reader cost: 0.0084 45/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8878 - reader cost: 0.0082 46/125 [==========>...................] - ETA: 2:29 - batch_cost: 1.8879 - reader cost: 0.0081 47/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8862 - reader cost: 0.0079 48/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8869 - reader cost: 0.0077 49/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8862 - reader cost: 0.0076 50/125 [===========>..................] - ETA: 2:21 - batch_cost: 1.8861 - reader cost: 0.0074 51/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.8863 - reader cost: 0.0073 52/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.8865 - reader cost: 0.0071 53/125 [===========>..................] - ETA: 2:15 - batch_cost: 1.8867 - reader cost: 0.0070 54/125 [===========>..................] - ETA: 2:13 - batch_cost: 1.8862 - reader cost: 0.0069 55/125 [============>.................] - ETA: 2:12 - batch_cost: 1.8857 - reader cost: 0.0068 56/125 [============>.................] - ETA: 2:10 - batch_cost: 1.8866 - reader cost: 0.0067 57/125 [============>.................] - ETA: 2:08 - batch_cost: 1.8858 - reader cost: 0.0065 58/125 [============>.................] - ETA: 2:06 - batch_cost: 1.8861 - reader cost: 0.0064 59/125 [=============>................] - ETA: 2:04 - batch_cost: 1.8862 - reader cost: 0.0063 60/125 [=============>................] - ETA: 2:02 - batch_cost: 1.8863 - reader cost: 0.0062 61/125 [=============>................] - ETA: 2:00 - batch_cost: 1.8859 - reader cost: 0.0061 62/125 [=============>................] - ETA: 1:58 - 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[==========================>...] - ETA: 18s - batch_cost: 1.8787 - reader cost: 0.0033 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8786 - reader cost: 0.0033 117/125 [===========================>..] - ETA: 15s - batch_cost: 1.8786 - reader cost: 0.0033 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8786 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8783 - reader cost: 0.0032 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8780 - reader cost: 0.0032  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8778 - reader cost: 0.0032 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8776 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8776 - reader cost: 0.0031 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8772 - reader cost: 0.0031 125/125 [==============================] - 235s 2s/step - batch_cost: 1.8769 - reader cost: 0.0031 2021-08-22 04:15:16 [INFO] [EVAL] #Images: 500 mIoU: 0.8043 Acc: 0.9638 Kappa: 0.9530 2021-08-22 04:15:16 [INFO] [EVAL] Class IoU: [0.9803 0.8448 0.9333 0.605 0.635 0.6807 0.7404 0.812 0.93 0.6593 0.9561 0.838 0.6589 0.9569 0.8648 0.9121 0.7879 0.695 0.7902] 2021-08-22 04:15:16 [INFO] [EVAL] Class Acc: [0.9899 0.9196 0.965 0.8061 0.8632 0.8131 0.8475 0.8963 0.9572 0.8461 0.975 0.9084 0.813 0.9743 0.9262 0.9637 0.8693 0.8597 0.852 ] 2021-08-22 04:15:19 [INFO] [EVAL] The model with the best validation mIoU (0.8059) was saved at iter 36000. 2021-08-22 04:15:30 [INFO] [TRAIN] epoch: 119, iter: 44010/160000, loss: 0.0808, lr: 0.000043, batch_cost: 1.1917, reader_cost: 0.00056, ips: 1.6783 samples/sec | ETA 38:23:42 2021-08-22 04:15:42 [INFO] [TRAIN] epoch: 119, iter: 44020/160000, loss: 0.0773, lr: 0.000043, batch_cost: 1.1927, reader_cost: 0.00018, ips: 1.6769 samples/sec | ETA 38:25:23 2021-08-22 04:15:54 [INFO] [TRAIN] epoch: 119, iter: 44030/160000, loss: 0.0817, lr: 0.000043, batch_cost: 1.1971, reader_cost: 0.00017, ips: 1.6708 samples/sec | ETA 38:33:43 2021-08-22 04:16:06 [INFO] [TRAIN] epoch: 119, iter: 44040/160000, loss: 0.1090, lr: 0.000043, batch_cost: 1.1936, reader_cost: 0.00016, ips: 1.6757 samples/sec | ETA 38:26:44 2021-08-22 04:16:18 [INFO] [TRAIN] epoch: 119, iter: 44050/160000, loss: 0.0724, lr: 0.000043, batch_cost: 1.1880, reader_cost: 0.00017, ips: 1.6835 samples/sec | ETA 38:15:50 2021-08-22 04:16:30 [INFO] [TRAIN] epoch: 119, iter: 44060/160000, loss: 0.0744, lr: 0.000043, batch_cost: 1.1857, reader_cost: 0.00016, ips: 1.6868 samples/sec | ETA 38:11:11 2021-08-22 04:16:42 [INFO] [TRAIN] epoch: 119, iter: 44070/160000, loss: 0.0770, lr: 0.000043, batch_cost: 1.1951, reader_cost: 0.00017, ips: 1.6735 samples/sec | ETA 38:29:06 2021-08-22 04:16:54 [INFO] [TRAIN] epoch: 119, iter: 44080/160000, loss: 0.0766, lr: 0.000043, batch_cost: 1.1905, reader_cost: 0.00016, ips: 1.6800 samples/sec | ETA 38:20:02 2021-08-22 04:17:06 [INFO] [TRAIN] epoch: 119, iter: 44090/160000, loss: 0.0816, lr: 0.000043, batch_cost: 1.1858, reader_cost: 0.00016, ips: 1.6867 samples/sec | ETA 38:10:40 2021-08-22 04:17:18 [INFO] [TRAIN] epoch: 119, iter: 44100/160000, loss: 0.0669, lr: 0.000043, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 38:15:33 2021-08-22 04:17:30 [INFO] [TRAIN] epoch: 119, iter: 44110/160000, loss: 0.0719, lr: 0.000043, batch_cost: 1.1890, reader_cost: 0.00018, ips: 1.6820 samples/sec | ETA 38:16:36 2021-08-22 04:17:41 [INFO] [TRAIN] epoch: 119, iter: 44120/160000, loss: 0.0739, lr: 0.000043, batch_cost: 1.1770, reader_cost: 0.00018, ips: 1.6992 samples/sec | ETA 37:53:14 2021-08-22 04:17:53 [INFO] [TRAIN] epoch: 119, iter: 44130/160000, loss: 0.0748, lr: 0.000043, batch_cost: 1.1865, reader_cost: 0.00018, ips: 1.6856 samples/sec | ETA 38:11:19 2021-08-22 04:18:05 [INFO] [TRAIN] epoch: 119, iter: 44140/160000, loss: 0.0696, lr: 0.000043, batch_cost: 1.1845, reader_cost: 0.00017, ips: 1.6884 samples/sec | ETA 38:07:20 2021-08-22 04:18:17 [INFO] [TRAIN] epoch: 119, iter: 44150/160000, loss: 0.0625, lr: 0.000043, batch_cost: 1.1871, reader_cost: 0.00017, ips: 1.6848 samples/sec | ETA 38:12:05 2021-08-22 04:18:29 [INFO] [TRAIN] epoch: 119, iter: 44160/160000, loss: 0.0759, lr: 0.000043, batch_cost: 1.1869, reader_cost: 0.00017, ips: 1.6851 samples/sec | ETA 38:11:27 2021-08-22 04:18:41 [INFO] [TRAIN] epoch: 119, iter: 44170/160000, loss: 0.0657, lr: 0.000043, batch_cost: 1.1951, reader_cost: 0.00017, ips: 1.6735 samples/sec | ETA 38:27:05 2021-08-22 04:18:53 [INFO] [TRAIN] epoch: 119, iter: 44180/160000, loss: 0.0719, lr: 0.000043, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6730 samples/sec | ETA 38:27:34 2021-08-22 04:19:05 [INFO] [TRAIN] epoch: 119, iter: 44190/160000, loss: 0.0829, lr: 0.000043, batch_cost: 1.2057, reader_cost: 0.00017, ips: 1.6588 samples/sec | ETA 38:47:14 2021-08-22 04:19:17 [INFO] [TRAIN] epoch: 119, iter: 44200/160000, loss: 0.0770, lr: 0.000043, batch_cost: 1.1972, reader_cost: 0.00017, ips: 1.6706 samples/sec | ETA 38:30:31 2021-08-22 04:19:29 [INFO] [TRAIN] epoch: 119, iter: 44210/160000, loss: 0.0714, lr: 0.000043, batch_cost: 1.1895, reader_cost: 0.00016, ips: 1.6814 samples/sec | ETA 38:15:30 2021-08-22 04:19:41 [INFO] [TRAIN] epoch: 119, iter: 44220/160000, loss: 0.0786, lr: 0.000043, batch_cost: 1.1975, reader_cost: 0.00016, ips: 1.6702 samples/sec | ETA 38:30:44 2021-08-22 04:19:52 [INFO] [TRAIN] epoch: 119, iter: 44230/160000, loss: 0.0659, lr: 0.000043, batch_cost: 1.1932, reader_cost: 0.00017, ips: 1.6762 samples/sec | ETA 38:22:15 2021-08-22 04:20:04 [INFO] [TRAIN] epoch: 119, iter: 44240/160000, loss: 0.0883, lr: 0.000043, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 38:21:47 2021-08-22 04:20:16 [INFO] [TRAIN] epoch: 119, iter: 44250/160000, loss: 0.0821, lr: 0.000043, batch_cost: 1.1912, reader_cost: 0.00017, ips: 1.6790 samples/sec | ETA 38:17:57 2021-08-22 04:20:28 [INFO] [TRAIN] epoch: 119, iter: 44260/160000, loss: 0.0701, lr: 0.000043, batch_cost: 1.1791, reader_cost: 0.00061, ips: 1.6962 samples/sec | ETA 37:54:33 2021-08-22 04:20:42 [INFO] [TRAIN] epoch: 120, iter: 44270/160000, loss: 0.0698, lr: 0.000043, batch_cost: 1.3857, reader_cost: 0.19511, ips: 1.4433 samples/sec | ETA 44:32:44 2021-08-22 04:20:54 [INFO] [TRAIN] epoch: 120, iter: 44280/160000, loss: 0.0711, lr: 0.000043, batch_cost: 1.1933, reader_cost: 0.00068, ips: 1.6761 samples/sec | ETA 38:21:25 2021-08-22 04:21:06 [INFO] [TRAIN] epoch: 120, iter: 44290/160000, loss: 0.0704, lr: 0.000043, batch_cost: 1.1964, reader_cost: 0.00017, ips: 1.6717 samples/sec | ETA 38:27:12 2021-08-22 04:21:18 [INFO] [TRAIN] epoch: 120, iter: 44300/160000, loss: 0.0788, lr: 0.000043, batch_cost: 1.2003, reader_cost: 0.00017, ips: 1.6662 samples/sec | ETA 38:34:40 2021-08-22 04:21:30 [INFO] [TRAIN] epoch: 120, iter: 44310/160000, loss: 0.0848, lr: 0.000043, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 38:26:43 2021-08-22 04:21:42 [INFO] [TRAIN] epoch: 120, iter: 44320/160000, loss: 0.0804, lr: 0.000043, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 38:16:19 2021-08-22 04:21:54 [INFO] [TRAIN] epoch: 120, iter: 44330/160000, loss: 0.0865, lr: 0.000043, batch_cost: 1.1907, reader_cost: 0.00018, ips: 1.6796 samples/sec | ETA 38:15:31 2021-08-22 04:22:06 [INFO] [TRAIN] epoch: 120, iter: 44340/160000, loss: 0.0752, lr: 0.000043, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 38:10:22 2021-08-22 04:22:17 [INFO] [TRAIN] epoch: 120, iter: 44350/160000, loss: 0.0692, lr: 0.000043, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 38:17:48 2021-08-22 04:22:29 [INFO] [TRAIN] epoch: 120, iter: 44360/160000, loss: 0.0687, lr: 0.000043, batch_cost: 1.1897, reader_cost: 0.00016, ips: 1.6811 samples/sec | ETA 38:12:58 2021-08-22 04:22:41 [INFO] [TRAIN] epoch: 120, iter: 44370/160000, loss: 0.0708, lr: 0.000043, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6778 samples/sec | ETA 38:17:18 2021-08-22 04:22:53 [INFO] [TRAIN] epoch: 120, iter: 44380/160000, loss: 0.0780, lr: 0.000043, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6784 samples/sec | ETA 38:16:15 2021-08-22 04:23:05 [INFO] [TRAIN] epoch: 120, iter: 44390/160000, loss: 0.0660, lr: 0.000043, batch_cost: 1.1909, reader_cost: 0.00016, ips: 1.6793 samples/sec | ETA 38:14:44 2021-08-22 04:23:17 [INFO] [TRAIN] epoch: 120, iter: 44400/160000, loss: 0.0811, lr: 0.000043, batch_cost: 1.1914, reader_cost: 0.00017, ips: 1.6786 samples/sec | ETA 38:15:30 2021-08-22 04:23:29 [INFO] [TRAIN] epoch: 120, iter: 44410/160000, loss: 0.0694, lr: 0.000043, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6731 samples/sec | ETA 38:22:57 2021-08-22 04:23:41 [INFO] [TRAIN] epoch: 120, iter: 44420/160000, loss: 0.0862, lr: 0.000043, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 38:16:53 2021-08-22 04:23:53 [INFO] [TRAIN] epoch: 120, iter: 44430/160000, loss: 0.0634, lr: 0.000043, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6751 samples/sec | ETA 38:19:46 2021-08-22 04:24:05 [INFO] [TRAIN] epoch: 120, iter: 44440/160000, loss: 0.0722, lr: 0.000043, batch_cost: 1.1869, reader_cost: 0.00017, ips: 1.6851 samples/sec | ETA 38:05:54 2021-08-22 04:24:17 [INFO] [TRAIN] epoch: 120, iter: 44450/160000, loss: 0.0733, lr: 0.000043, batch_cost: 1.1895, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 38:10:49 2021-08-22 04:24:29 [INFO] [TRAIN] epoch: 120, iter: 44460/160000, loss: 0.0761, lr: 0.000043, batch_cost: 1.1908, reader_cost: 0.00016, ips: 1.6796 samples/sec | ETA 38:13:01 2021-08-22 04:24:40 [INFO] [TRAIN] epoch: 120, iter: 44470/160000, loss: 0.0756, lr: 0.000043, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6829 samples/sec | ETA 38:08:21 2021-08-22 04:24:52 [INFO] [TRAIN] epoch: 120, iter: 44480/160000, loss: 0.0740, lr: 0.000043, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6794 samples/sec | ETA 38:12:50 2021-08-22 04:25:04 [INFO] [TRAIN] epoch: 120, iter: 44490/160000, loss: 0.0715, lr: 0.000043, batch_cost: 1.2035, reader_cost: 0.00016, ips: 1.6618 samples/sec | ETA 38:36:55 2021-08-22 04:25:16 [INFO] [TRAIN] epoch: 120, iter: 44500/160000, loss: 0.0658, lr: 0.000043, batch_cost: 1.1891, reader_cost: 0.00017, ips: 1.6820 samples/sec | ETA 38:08:58 2021-08-22 04:25:28 [INFO] [TRAIN] epoch: 120, iter: 44510/160000, loss: 0.0668, lr: 0.000043, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 38:16:33 2021-08-22 04:25:40 [INFO] [TRAIN] epoch: 120, iter: 44520/160000, loss: 0.0939, lr: 0.000043, batch_cost: 1.1931, reader_cost: 0.00016, ips: 1.6763 samples/sec | ETA 38:16:22 2021-08-22 04:25:52 [INFO] [TRAIN] epoch: 120, iter: 44530/160000, loss: 0.0795, lr: 0.000043, batch_cost: 1.1904, reader_cost: 0.00018, ips: 1.6801 samples/sec | ETA 38:10:58 2021-08-22 04:26:04 [INFO] [TRAIN] epoch: 120, 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37:57:27 2021-08-22 04:27:15 [INFO] [TRAIN] epoch: 120, iter: 44600/160000, loss: 0.0784, lr: 0.000043, batch_cost: 1.1999, reader_cost: 0.00017, ips: 1.6668 samples/sec | ETA 38:27:47 2021-08-22 04:27:27 [INFO] [TRAIN] epoch: 120, iter: 44610/160000, loss: 0.0730, lr: 0.000043, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6812 samples/sec | ETA 38:07:49 2021-08-22 04:27:39 [INFO] [TRAIN] epoch: 120, iter: 44620/160000, loss: 0.0808, lr: 0.000043, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 38:13:58 2021-08-22 04:27:51 [INFO] [TRAIN] epoch: 120, iter: 44630/160000, loss: 0.0818, lr: 0.000043, batch_cost: 1.1890, reader_cost: 0.00016, ips: 1.6821 samples/sec | ETA 38:06:11 2021-08-22 04:28:03 [INFO] [TRAIN] epoch: 120, iter: 44640/160000, loss: 0.0691, lr: 0.000043, batch_cost: 1.1662, reader_cost: 0.00012, ips: 1.7149 samples/sec | ETA 37:22:15 2021-08-22 04:28:17 [INFO] [TRAIN] epoch: 121, iter: 44650/160000, loss: 0.0780, lr: 0.000043, batch_cost: 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iter: 47260/160000, loss: 0.0764, lr: 0.000042, batch_cost: 1.1970, reader_cost: 0.00067, ips: 1.6709 samples/sec | ETA 37:29:08 2021-08-22 05:20:39 [INFO] [TRAIN] epoch: 128, iter: 47270/160000, loss: 0.0635, lr: 0.000042, batch_cost: 1.1975, reader_cost: 0.00017, ips: 1.6701 samples/sec | ETA 37:29:56 2021-08-22 05:20:51 [INFO] [TRAIN] epoch: 128, iter: 47280/160000, loss: 0.0964, lr: 0.000042, batch_cost: 1.2029, reader_cost: 0.00017, ips: 1.6627 samples/sec | ETA 37:39:47 2021-08-22 05:21:03 [INFO] [TRAIN] epoch: 128, iter: 47290/160000, loss: 0.0771, lr: 0.000042, batch_cost: 1.1935, reader_cost: 0.00017, ips: 1.6758 samples/sec | ETA 37:21:58 2021-08-22 05:21:15 [INFO] [TRAIN] epoch: 128, iter: 47300/160000, loss: 0.0877, lr: 0.000042, batch_cost: 1.1852, reader_cost: 0.00016, ips: 1.6875 samples/sec | ETA 37:06:13 2021-08-22 05:21:27 [INFO] [TRAIN] epoch: 128, iter: 47310/160000, loss: 0.0790, lr: 0.000042, batch_cost: 1.1879, reader_cost: 0.00016, ips: 1.6836 samples/sec | ETA 37:11:05 2021-08-22 05:21:38 [INFO] [TRAIN] epoch: 128, iter: 47320/160000, loss: 0.0865, lr: 0.000042, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 37:17:41 2021-08-22 05:21:50 [INFO] [TRAIN] epoch: 128, iter: 47330/160000, loss: 0.0827, lr: 0.000042, batch_cost: 1.1933, reader_cost: 0.00017, ips: 1.6760 samples/sec | ETA 37:20:51 2021-08-22 05:22:02 [INFO] [TRAIN] epoch: 128, iter: 47340/160000, loss: 0.0667, lr: 0.000042, batch_cost: 1.1876, reader_cost: 0.00019, ips: 1.6841 samples/sec | ETA 37:09:53 2021-08-22 05:22:14 [INFO] [TRAIN] epoch: 128, iter: 47350/160000, loss: 0.0706, lr: 0.000042, batch_cost: 1.1994, reader_cost: 0.00019, ips: 1.6675 samples/sec | ETA 37:31:51 2021-08-22 05:22:26 [INFO] [TRAIN] epoch: 128, iter: 47360/160000, loss: 0.0662, lr: 0.000042, batch_cost: 1.2004, reader_cost: 0.00016, ips: 1.6661 samples/sec | ETA 37:33:30 2021-08-22 05:22:38 [INFO] [TRAIN] epoch: 128, iter: 47370/160000, loss: 0.0709, lr: 0.000042, batch_cost: 1.1909, reader_cost: 0.00016, ips: 1.6794 samples/sec | ETA 37:15:32 2021-08-22 05:22:50 [INFO] [TRAIN] epoch: 128, iter: 47380/160000, loss: 0.0816, lr: 0.000042, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6715 samples/sec | ETA 37:25:55 2021-08-22 05:23:02 [INFO] [TRAIN] epoch: 128, iter: 47390/160000, loss: 0.0645, lr: 0.000042, batch_cost: 1.1922, reader_cost: 0.00018, ips: 1.6775 samples/sec | ETA 37:17:37 2021-08-22 05:23:14 [INFO] [TRAIN] epoch: 128, iter: 47400/160000, loss: 0.0617, lr: 0.000042, batch_cost: 1.2016, reader_cost: 0.00016, ips: 1.6645 samples/sec | ETA 37:34:54 2021-08-22 05:23:26 [INFO] [TRAIN] epoch: 128, iter: 47410/160000, loss: 0.0804, lr: 0.000042, batch_cost: 1.1901, reader_cost: 0.00016, ips: 1.6805 samples/sec | ETA 37:13:16 2021-08-22 05:23:38 [INFO] [TRAIN] epoch: 128, iter: 47420/160000, loss: 0.0610, lr: 0.000042, batch_cost: 1.2008, reader_cost: 0.00016, ips: 1.6655 samples/sec | ETA 37:33:06 2021-08-22 05:23:50 [INFO] [TRAIN] epoch: 128, iter: 47430/160000, loss: 0.0689, lr: 0.000042, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6802 samples/sec | ETA 37:13:14 2021-08-22 05:24:02 [INFO] [TRAIN] epoch: 128, iter: 47440/160000, loss: 0.0675, lr: 0.000042, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 37:07:53 2021-08-22 05:24:14 [INFO] [TRAIN] epoch: 128, iter: 47450/160000, loss: 0.0693, lr: 0.000042, batch_cost: 1.1959, reader_cost: 0.00018, ips: 1.6724 samples/sec | ETA 37:23:17 2021-08-22 05:24:26 [INFO] [TRAIN] epoch: 128, iter: 47460/160000, loss: 0.0660, lr: 0.000042, batch_cost: 1.2043, reader_cost: 0.00017, ips: 1.6607 samples/sec | ETA 37:38:49 2021-08-22 05:24:38 [INFO] [TRAIN] epoch: 128, iter: 47470/160000, loss: 0.0691, lr: 0.000042, batch_cost: 1.1973, reader_cost: 0.00018, ips: 1.6704 samples/sec | ETA 37:25:30 2021-08-22 05:24:50 [INFO] [TRAIN] epoch: 128, iter: 47480/160000, loss: 0.0701, lr: 0.000042, batch_cost: 1.2035, reader_cost: 0.00016, ips: 1.6618 samples/sec | ETA 37:36:56 2021-08-22 05:25:02 [INFO] [TRAIN] epoch: 128, iter: 47490/160000, loss: 0.0785, lr: 0.000042, batch_cost: 1.2002, reader_cost: 0.00018, ips: 1.6664 samples/sec | ETA 37:30:32 2021-08-22 05:25:14 [INFO] [TRAIN] epoch: 128, iter: 47500/160000, loss: 0.0639, lr: 0.000042, batch_cost: 1.2009, reader_cost: 0.00016, ips: 1.6654 samples/sec | ETA 37:31:41 2021-08-22 05:25:26 [INFO] [TRAIN] epoch: 128, iter: 47510/160000, loss: 0.0800, lr: 0.000042, batch_cost: 1.2139, reader_cost: 0.00016, ips: 1.6476 samples/sec | ETA 37:55:53 2021-08-22 05:25:38 [INFO] [TRAIN] epoch: 128, iter: 47520/160000, loss: 0.0666, lr: 0.000042, batch_cost: 1.2126, reader_cost: 0.00017, ips: 1.6493 samples/sec | ETA 37:53:14 2021-08-22 05:25:50 [INFO] [TRAIN] epoch: 128, iter: 47530/160000, loss: 0.0664, lr: 0.000042, batch_cost: 1.2076, reader_cost: 0.00016, ips: 1.6562 samples/sec | ETA 37:43:39 2021-08-22 05:26:02 [INFO] [TRAIN] epoch: 128, iter: 47540/160000, loss: 0.0761, lr: 0.000042, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6723 samples/sec | ETA 37:21:36 2021-08-22 05:26:14 [INFO] [TRAIN] epoch: 128, iter: 47550/160000, loss: 0.0725, lr: 0.000042, batch_cost: 1.1811, reader_cost: 0.00016, ips: 1.6934 samples/sec | ETA 36:53:32 2021-08-22 05:26:26 [INFO] [TRAIN] epoch: 128, iter: 47560/160000, loss: 0.0636, lr: 0.000042, batch_cost: 1.1932, reader_cost: 0.00016, ips: 1.6761 samples/sec | ETA 37:16:06 2021-08-22 05:26:38 [INFO] [TRAIN] epoch: 128, iter: 47570/160000, loss: 0.0773, lr: 0.000042, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 37:07:55 2021-08-22 05:26:50 [INFO] [TRAIN] epoch: 128, iter: 47580/160000, loss: 0.0700, lr: 0.000042, batch_cost: 1.1890, reader_cost: 0.00016, ips: 1.6821 samples/sec | ETA 37:07:43 2021-08-22 05:27:01 [INFO] [TRAIN] epoch: 128, iter: 47590/160000, loss: 0.0608, lr: 0.000042, batch_cost: 1.1911, reader_cost: 0.00016, ips: 1.6792 samples/sec | ETA 37:11:28 2021-08-22 05:27:13 [INFO] [TRAIN] epoch: 128, iter: 47600/160000, loss: 0.0924, lr: 0.000042, batch_cost: 1.1852, reader_cost: 0.00017, ips: 1.6874 samples/sec | ETA 37:00:20 2021-08-22 05:27:25 [INFO] [TRAIN] epoch: 128, iter: 47610/160000, loss: 0.0930, lr: 0.000042, batch_cost: 1.1811, reader_cost: 0.00013, ips: 1.6933 samples/sec | ETA 36:52:28 2021-08-22 05:27:39 [INFO] [TRAIN] epoch: 129, iter: 47620/160000, loss: 0.0694, lr: 0.000042, batch_cost: 1.3931, reader_cost: 0.16080, ips: 1.4356 samples/sec | ETA 43:29:18 2021-08-22 05:27:51 [INFO] [TRAIN] epoch: 129, iter: 47630/160000, loss: 0.0754, lr: 0.000042, batch_cost: 1.2025, reader_cost: 0.00065, ips: 1.6632 samples/sec | ETA 37:32:07 2021-08-22 05:28:03 [INFO] [TRAIN] epoch: 129, iter: 47640/160000, loss: 0.0596, lr: 0.000042, batch_cost: 1.1898, reader_cost: 0.00017, ips: 1.6810 samples/sec | ETA 37:08:04 2021-08-22 05:28:15 [INFO] [TRAIN] epoch: 129, iter: 47650/160000, loss: 0.0749, lr: 0.000042, batch_cost: 1.2014, reader_cost: 0.00018, ips: 1.6647 samples/sec | ETA 37:29:42 2021-08-22 05:28:27 [INFO] [TRAIN] epoch: 129, iter: 47660/160000, loss: 0.0700, lr: 0.000042, batch_cost: 1.1952, reader_cost: 0.00018, ips: 1.6733 samples/sec | ETA 37:17:50 2021-08-22 05:28:39 [INFO] [TRAIN] epoch: 129, iter: 47670/160000, loss: 0.0709, lr: 0.000042, batch_cost: 1.1903, reader_cost: 0.00018, ips: 1.6803 samples/sec | ETA 37:08:25 2021-08-22 05:28:51 [INFO] [TRAIN] epoch: 129, iter: 47680/160000, loss: 0.0716, lr: 0.000042, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 37:10:05 2021-08-22 05:29:03 [INFO] [TRAIN] epoch: 129, iter: 47690/160000, loss: 0.0762, lr: 0.000042, batch_cost: 1.1981, reader_cost: 0.00017, ips: 1.6693 samples/sec | ETA 37:22:41 2021-08-22 05:29:15 [INFO] [TRAIN] epoch: 129, iter: 47700/160000, loss: 0.0610, lr: 0.000042, batch_cost: 1.1957, reader_cost: 0.00016, ips: 1.6727 samples/sec | ETA 37:17:52 2021-08-22 05:29:27 [INFO] [TRAIN] epoch: 129, iter: 47710/160000, loss: 0.0836, lr: 0.000042, batch_cost: 1.1863, reader_cost: 0.00016, ips: 1.6859 samples/sec | ETA 37:00:13 2021-08-22 05:29:38 [INFO] [TRAIN] epoch: 129, iter: 47720/160000, loss: 0.0763, lr: 0.000042, batch_cost: 1.1853, reader_cost: 0.00016, ips: 1.6873 samples/sec | ETA 36:58:09 2021-08-22 05:29:50 [INFO] [TRAIN] epoch: 129, iter: 47730/160000, loss: 0.0782, lr: 0.000042, batch_cost: 1.1893, reader_cost: 0.00016, ips: 1.6816 samples/sec | ETA 37:05:24 2021-08-22 05:30:02 [INFO] [TRAIN] epoch: 129, iter: 47740/160000, loss: 0.0654, lr: 0.000042, batch_cost: 1.1956, reader_cost: 0.00016, ips: 1.6728 samples/sec | ETA 37:16:57 2021-08-22 05:30:14 [INFO] [TRAIN] epoch: 129, iter: 47750/160000, loss: 0.0613, lr: 0.000042, batch_cost: 1.1956, reader_cost: 0.00017, ips: 1.6728 samples/sec | ETA 37:16:45 2021-08-22 05:30:26 [INFO] [TRAIN] epoch: 129, iter: 47760/160000, loss: 0.0710, lr: 0.000042, batch_cost: 1.2015, reader_cost: 0.00018, ips: 1.6645 samples/sec | ETA 37:27:41 2021-08-22 05:30:38 [INFO] [TRAIN] epoch: 129, iter: 47770/160000, loss: 0.0579, lr: 0.000042, batch_cost: 1.1944, reader_cost: 0.00018, ips: 1.6745 samples/sec | ETA 37:14:07 2021-08-22 05:30:50 [INFO] [TRAIN] epoch: 129, iter: 47780/160000, loss: 0.0864, lr: 0.000042, batch_cost: 1.1918, reader_cost: 0.00018, ips: 1.6782 samples/sec | ETA 37:09:01 2021-08-22 05:31:02 [INFO] [TRAIN] epoch: 129, iter: 47790/160000, loss: 0.0588, lr: 0.000042, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6815 samples/sec | ETA 37:04:25 2021-08-22 05:31:14 [INFO] [TRAIN] epoch: 129, iter: 47800/160000, loss: 0.0793, lr: 0.000042, batch_cost: 1.1854, reader_cost: 0.00017, ips: 1.6872 samples/sec | ETA 36:56:37 2021-08-22 05:31:26 [INFO] [TRAIN] epoch: 129, iter: 47810/160000, loss: 0.0710, lr: 0.000042, batch_cost: 1.1857, reader_cost: 0.00017, ips: 1.6868 samples/sec | ETA 36:57:02 2021-08-22 05:31:38 [INFO] [TRAIN] epoch: 129, iter: 47820/160000, loss: 0.0786, lr: 0.000042, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 37:00:28 2021-08-22 05:31:50 [INFO] [TRAIN] epoch: 129, iter: 47830/160000, loss: 0.0754, lr: 0.000042, batch_cost: 1.1912, reader_cost: 0.00018, ips: 1.6789 samples/sec | ETA 37:07:02 2021-08-22 05:32:01 [INFO] [TRAIN] epoch: 129, iter: 47840/160000, loss: 0.0619, lr: 0.000042, batch_cost: 1.1924, reader_cost: 0.00018, ips: 1.6773 samples/sec | ETA 37:08:58 2021-08-22 05:32:14 [INFO] [TRAIN] epoch: 129, iter: 47850/160000, loss: 0.0701, lr: 0.000042, batch_cost: 1.2053, reader_cost: 0.00017, ips: 1.6594 samples/sec | ETA 37:32:49 2021-08-22 05:32:26 [INFO] [TRAIN] epoch: 129, iter: 47860/160000, loss: 0.0595, lr: 0.000042, batch_cost: 1.1990, reader_cost: 0.00017, ips: 1.6680 samples/sec | ETA 37:20:57 2021-08-22 05:32:37 [INFO] [TRAIN] epoch: 129, iter: 47870/160000, loss: 0.0745, lr: 0.000042, batch_cost: 1.1980, reader_cost: 0.00017, ips: 1.6694 samples/sec | ETA 37:18:52 2021-08-22 05:32:49 [INFO] [TRAIN] epoch: 129, iter: 47880/160000, loss: 0.0558, lr: 0.000042, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 37:15:30 2021-08-22 05:33:01 [INFO] [TRAIN] epoch: 129, iter: 47890/160000, loss: 0.0859, lr: 0.000042, batch_cost: 1.1952, reader_cost: 0.00017, ips: 1.6734 samples/sec | ETA 37:13:11 2021-08-22 05:33:13 [INFO] [TRAIN] epoch: 129, iter: 47900/160000, loss: 0.0666, lr: 0.000042, batch_cost: 1.1934, reader_cost: 0.00017, ips: 1.6759 samples/sec | ETA 37:09:35 2021-08-22 05:33:25 [INFO] [TRAIN] epoch: 129, iter: 47910/160000, loss: 0.0791, lr: 0.000042, batch_cost: 1.1974, reader_cost: 0.00017, ips: 1.6702 samples/sec | ETA 37:17:01 2021-08-22 05:33:37 [INFO] [TRAIN] epoch: 129, iter: 47920/160000, loss: 0.0865, lr: 0.000042, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6755 samples/sec | ETA 37:09:48 2021-08-22 05:33:49 [INFO] [TRAIN] epoch: 129, iter: 47930/160000, loss: 0.0812, lr: 0.000042, batch_cost: 1.1964, reader_cost: 0.00018, ips: 1.6717 samples/sec | ETA 37:14:38 2021-08-22 05:34:01 [INFO] [TRAIN] epoch: 129, iter: 47940/160000, loss: 0.0656, lr: 0.000042, batch_cost: 1.1992, reader_cost: 0.00017, ips: 1.6678 samples/sec | ETA 37:19:37 2021-08-22 05:34:13 [INFO] [TRAIN] epoch: 129, iter: 47950/160000, loss: 0.0714, lr: 0.000042, batch_cost: 1.1978, reader_cost: 0.00017, ips: 1.6697 samples/sec | ETA 37:16:55 2021-08-22 05:34:25 [INFO] [TRAIN] epoch: 129, iter: 47960/160000, loss: 0.0741, lr: 0.000042, batch_cost: 1.1920, reader_cost: 0.00018, ips: 1.6779 samples/sec | ETA 37:05:48 2021-08-22 05:34:37 [INFO] [TRAIN] epoch: 129, iter: 47970/160000, loss: 0.0885, lr: 0.000042, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6784 samples/sec | ETA 37:04:57 2021-08-22 05:34:49 [INFO] [TRAIN] epoch: 129, iter: 47980/160000, loss: 0.0758, lr: 0.000042, batch_cost: 1.1803, reader_cost: 0.00016, ips: 1.6945 samples/sec | ETA 36:43:34 2021-08-22 05:35:03 [INFO] [TRAIN] epoch: 130, iter: 47990/160000, loss: 0.0723, lr: 0.000042, batch_cost: 1.3756, reader_cost: 0.17235, ips: 1.4539 samples/sec | ETA 42:48:01 2021-08-22 05:35:14 [INFO] [TRAIN] epoch: 130, iter: 48000/160000, loss: 0.0708, lr: 0.000042, batch_cost: 1.1886, reader_cost: 0.00060, ips: 1.6827 samples/sec | ETA 36:58:37 2021-08-22 05:35:14 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:44 - batch_cost: 2.2955 - reader cost: 0.3591 2/125 [..............................] - ETA: 4:18 - batch_cost: 2.0999 - reader cost: 0.1797 3/125 [..............................] - ETA: 4:07 - batch_cost: 2.0255 - reader cost: 0.1198 4/125 [..............................] - ETA: 4:00 - batch_cost: 1.9893 - reader cost: 0.0899 5/125 [>.............................] - ETA: 3:56 - batch_cost: 1.9698 - reader cost: 0.0720 6/125 [>.............................] - ETA: 3:52 - batch_cost: 1.9555 - reader cost: 0.0600 7/125 [>.............................] - ETA: 3:49 - batch_cost: 1.9447 - reader cost: 0.0515 8/125 [>.............................] - ETA: 3:46 - batch_cost: 1.9371 - reader cost: 0.0450 9/125 [=>............................] - ETA: 3:43 - batch_cost: 1.9296 - reader cost: 0.0401 10/125 [=>............................] - ETA: 3:41 - batch_cost: 1.9217 - reader cost: 0.0361 11/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9192 - reader cost: 0.0328 12/125 [=>............................] - ETA: 3:36 - batch_cost: 1.9158 - reader cost: 0.0301 13/125 [==>...........................] - ETA: 3:34 - batch_cost: 1.9128 - reader cost: 0.0278 14/125 [==>...........................] - ETA: 3:32 - batch_cost: 1.9113 - reader cost: 0.0258 15/125 [==>...........................] - ETA: 3:29 - batch_cost: 1.9077 - reader cost: 0.0241 16/125 [==>...........................] - ETA: 3:27 - batch_cost: 1.9051 - reader cost: 0.0226 17/125 [===>..........................] - ETA: 3:25 - batch_cost: 1.9022 - reader cost: 0.0213 18/125 [===>..........................] - ETA: 3:23 - batch_cost: 1.8999 - reader cost: 0.0201 19/125 [===>..........................] - ETA: 3:21 - batch_cost: 1.8978 - reader cost: 0.0191 20/125 [===>..........................] - ETA: 3:18 - batch_cost: 1.8948 - reader cost: 0.0181 21/125 [====>.........................] - ETA: 3:16 - batch_cost: 1.8921 - reader cost: 0.0173 22/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.8898 - reader cost: 0.0165 23/125 [====>.........................] - ETA: 3:12 - batch_cost: 1.8878 - reader cost: 0.0158 24/125 [====>.........................] - ETA: 3:10 - batch_cost: 1.8857 - reader cost: 0.0151 25/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.8842 - reader cost: 0.0145 26/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.8832 - reader cost: 0.0140 27/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.8819 - reader cost: 0.0135 28/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8815 - reader cost: 0.0130 29/125 [=====>........................] - ETA: 3:00 - batch_cost: 1.8806 - reader cost: 0.0126 30/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8801 - reader cost: 0.0121 31/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8796 - reader cost: 0.0118 32/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8789 - reader cost: 0.0114 33/125 [======>.......................] - ETA: 2:52 - batch_cost: 1.8783 - reader cost: 0.0111 34/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8780 - reader cost: 0.0107 35/125 [=======>......................] - ETA: 2:49 - batch_cost: 1.8780 - reader cost: 0.0104 36/125 [=======>......................] - ETA: 2:47 - batch_cost: 1.8774 - reader cost: 0.0101 37/125 [=======>......................] - ETA: 2:45 - batch_cost: 1.8773 - reader cost: 0.0099 38/125 [========>.....................] - ETA: 2:43 - batch_cost: 1.8770 - reader cost: 0.0096 39/125 [========>.....................] - ETA: 2:41 - batch_cost: 1.8764 - reader cost: 0.0094 40/125 [========>.....................] - ETA: 2:39 - batch_cost: 1.8768 - reader cost: 0.0091 41/125 [========>.....................] - ETA: 2:37 - batch_cost: 1.8766 - reader cost: 0.0089 42/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.8760 - reader cost: 0.0087 43/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.8750 - reader cost: 0.0085 44/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8743 - reader cost: 0.0083 45/125 [=========>....................] - ETA: 2:29 - batch_cost: 1.8746 - reader cost: 0.0081 46/125 [==========>...................] - ETA: 2:28 - batch_cost: 1.8747 - reader cost: 0.0080 47/125 [==========>...................] - ETA: 2:26 - batch_cost: 1.8745 - reader cost: 0.0078 48/125 [==========>...................] - ETA: 2:24 - batch_cost: 1.8748 - reader cost: 0.0077 49/125 [==========>...................] - ETA: 2:22 - batch_cost: 1.8751 - reader cost: 0.0075 50/125 [===========>..................] - ETA: 2:20 - batch_cost: 1.8746 - reader cost: 0.0074 51/125 [===========>..................] - ETA: 2:18 - batch_cost: 1.8742 - reader cost: 0.0072 52/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8737 - reader cost: 0.0071 53/125 [===========>..................] - ETA: 2:14 - batch_cost: 1.8734 - reader cost: 0.0069 54/125 [===========>..................] - ETA: 2:13 - batch_cost: 1.8730 - reader cost: 0.0068 55/125 [============>.................] - ETA: 2:11 - batch_cost: 1.8729 - reader cost: 0.0067 56/125 [============>.................] - ETA: 2:09 - batch_cost: 1.8729 - reader cost: 0.0066 57/125 [============>.................] - ETA: 2:07 - batch_cost: 1.8730 - reader cost: 0.0065 58/125 [============>.................] - ETA: 2:05 - batch_cost: 1.8727 - reader cost: 0.0064 59/125 [=============>................] - ETA: 2:03 - batch_cost: 1.8722 - reader cost: 0.0063 60/125 [=============>................] - ETA: 2:01 - batch_cost: 1.8716 - reader cost: 0.0062 61/125 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[============================>.] - ETA: 1s - batch_cost: 1.8612 - reader cost: 0.0031 125/125 [==============================] - 233s 2s/step - batch_cost: 1.8607 - reader cost: 0.0030 2021-08-22 05:39:07 [INFO] [EVAL] #Images: 500 mIoU: 0.8019 Acc: 0.9638 Kappa: 0.9530 2021-08-22 05:39:07 [INFO] [EVAL] Class IoU: [0.9828 0.8528 0.9328 0.5984 0.6514 0.6741 0.7379 0.8144 0.9287 0.6069 0.9526 0.8369 0.6521 0.9539 0.823 0.9012 0.8349 0.7081 0.7936] 2021-08-22 05:39:07 [INFO] [EVAL] Class Acc: [0.9914 0.9159 0.9639 0.8023 0.8194 0.8381 0.8366 0.9036 0.9597 0.8106 0.9702 0.8987 0.8081 0.9715 0.9471 0.9436 0.9342 0.8104 0.8647] 2021-08-22 05:39:09 [INFO] [EVAL] The model with the best validation mIoU (0.8059) was saved at iter 36000. 2021-08-22 05:39:21 [INFO] [TRAIN] epoch: 130, iter: 48010/160000, loss: 0.0800, lr: 0.000042, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6834 samples/sec | ETA 36:57:35 2021-08-22 05:39:33 [INFO] [TRAIN] epoch: 130, iter: 48020/160000, loss: 0.0794, lr: 0.000042, batch_cost: 1.1952, reader_cost: 0.00016, ips: 1.6734 samples/sec | ETA 37:10:33 2021-08-22 05:39:45 [INFO] [TRAIN] epoch: 130, iter: 48030/160000, loss: 0.0599, lr: 0.000042, batch_cost: 1.1907, reader_cost: 0.00016, ips: 1.6797 samples/sec | ETA 37:02:00 2021-08-22 05:39:57 [INFO] [TRAIN] epoch: 130, iter: 48040/160000, loss: 0.0772, lr: 0.000042, batch_cost: 1.1888, reader_cost: 0.00016, ips: 1.6824 samples/sec | ETA 36:58:12 2021-08-22 05:40:09 [INFO] [TRAIN] epoch: 130, iter: 48050/160000, loss: 0.0666, lr: 0.000042, batch_cost: 1.1996, reader_cost: 0.00018, ips: 1.6672 samples/sec | ETA 37:18:14 2021-08-22 05:40:21 [INFO] [TRAIN] epoch: 130, iter: 48060/160000, loss: 0.0766, lr: 0.000042, batch_cost: 1.1977, reader_cost: 0.00018, ips: 1.6698 samples/sec | ETA 37:14:32 2021-08-22 05:40:33 [INFO] [TRAIN] epoch: 130, iter: 48070/160000, loss: 0.0676, lr: 0.000042, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6786 samples/sec | ETA 37:02:44 2021-08-22 05:40:45 [INFO] [TRAIN] epoch: 130, iter: 48080/160000, loss: 0.0705, lr: 0.000042, batch_cost: 1.1954, reader_cost: 0.00016, ips: 1.6731 samples/sec | ETA 37:09:48 2021-08-22 05:40:57 [INFO] [TRAIN] epoch: 130, iter: 48090/160000, loss: 0.0630, lr: 0.000042, batch_cost: 1.1873, reader_cost: 0.00016, ips: 1.6845 samples/sec | ETA 36:54:31 2021-08-22 05:41:09 [INFO] [TRAIN] epoch: 130, iter: 48100/160000, loss: 0.0762, lr: 0.000042, batch_cost: 1.1889, reader_cost: 0.00017, ips: 1.6822 samples/sec | ETA 36:57:20 2021-08-22 05:41:21 [INFO] [TRAIN] epoch: 130, iter: 48110/160000, loss: 0.0665, lr: 0.000042, batch_cost: 1.1888, reader_cost: 0.00016, ips: 1.6824 samples/sec | ETA 36:56:54 2021-08-22 05:41:32 [INFO] [TRAIN] epoch: 130, iter: 48120/160000, loss: 0.0698, lr: 0.000042, batch_cost: 1.1889, reader_cost: 0.00016, ips: 1.6822 samples/sec | ETA 36:56:55 2021-08-22 05:41:45 [INFO] [TRAIN] epoch: 130, iter: 48130/160000, loss: 0.0581, lr: 0.000042, batch_cost: 1.2035, reader_cost: 0.00016, ips: 1.6619 samples/sec | ETA 37:23:50 2021-08-22 05:41:57 [INFO] [TRAIN] epoch: 130, iter: 48140/160000, loss: 0.0597, lr: 0.000042, batch_cost: 1.1970, reader_cost: 0.00016, ips: 1.6708 samples/sec | ETA 37:11:36 2021-08-22 05:42:08 [INFO] [TRAIN] epoch: 130, iter: 48150/160000, loss: 0.1016, lr: 0.000042, batch_cost: 1.1982, reader_cost: 0.00016, ips: 1.6692 samples/sec | ETA 37:13:38 2021-08-22 05:42:20 [INFO] [TRAIN] epoch: 130, iter: 48160/160000, loss: 0.0743, lr: 0.000042, batch_cost: 1.1918, reader_cost: 0.00016, ips: 1.6781 samples/sec | ETA 37:01:35 2021-08-22 05:42:32 [INFO] [TRAIN] epoch: 130, iter: 48170/160000, loss: 0.0692, lr: 0.000042, batch_cost: 1.1840, reader_cost: 0.00016, ips: 1.6892 samples/sec | ETA 36:46:42 2021-08-22 05:42:44 [INFO] [TRAIN] epoch: 130, iter: 48180/160000, loss: 0.0528, lr: 0.000042, batch_cost: 1.1895, reader_cost: 0.00016, ips: 1.6814 samples/sec | ETA 36:56:45 2021-08-22 05:42:56 [INFO] [TRAIN] epoch: 130, iter: 48190/160000, loss: 0.0690, lr: 0.000042, batch_cost: 1.1904, reader_cost: 0.00016, ips: 1.6801 samples/sec | ETA 36:58:15 2021-08-22 05:43:08 [INFO] [TRAIN] epoch: 130, iter: 48200/160000, loss: 0.0633, lr: 0.000042, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6802 samples/sec | ETA 36:57:55 2021-08-22 05:43:20 [INFO] [TRAIN] epoch: 130, iter: 48210/160000, loss: 0.0699, lr: 0.000042, batch_cost: 1.1942, reader_cost: 0.00017, ips: 1.6748 samples/sec | ETA 37:04:58 2021-08-22 05:43:32 [INFO] [TRAIN] epoch: 130, iter: 48220/160000, loss: 0.0624, lr: 0.000042, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6801 samples/sec | ETA 36:57:47 2021-08-22 05:43:44 [INFO] [TRAIN] epoch: 130, iter: 48230/160000, loss: 0.0813, lr: 0.000042, batch_cost: 1.1907, reader_cost: 0.00018, ips: 1.6796 samples/sec | ETA 36:58:09 2021-08-22 05:43:56 [INFO] [TRAIN] epoch: 130, iter: 48240/160000, loss: 0.0711, lr: 0.000042, batch_cost: 1.1971, reader_cost: 0.00016, ips: 1.6706 samples/sec | ETA 37:09:52 2021-08-22 05:44:08 [INFO] [TRAIN] epoch: 130, iter: 48250/160000, loss: 0.0740, lr: 0.000042, batch_cost: 1.1942, reader_cost: 0.00016, ips: 1.6748 samples/sec | ETA 37:04:10 2021-08-22 05:44:20 [INFO] [TRAIN] epoch: 130, iter: 48260/160000, loss: 0.0736, lr: 0.000042, batch_cost: 1.1983, reader_cost: 0.00016, ips: 1.6690 samples/sec | ETA 37:11:41 2021-08-22 05:44:32 [INFO] [TRAIN] epoch: 130, iter: 48270/160000, loss: 0.0712, lr: 0.000042, batch_cost: 1.2019, reader_cost: 0.00016, ips: 1.6640 samples/sec | ETA 37:18:07 2021-08-22 05:44:44 [INFO] [TRAIN] epoch: 130, iter: 48280/160000, loss: 0.0822, lr: 0.000042, batch_cost: 1.1948, reader_cost: 0.00016, ips: 1.6739 samples/sec | ETA 37:04:48 2021-08-22 05:44:55 [INFO] [TRAIN] epoch: 130, iter: 48290/160000, loss: 0.0700, lr: 0.000042, batch_cost: 1.1861, reader_cost: 0.00016, ips: 1.6862 samples/sec | ETA 36:48:21 2021-08-22 05:45:07 [INFO] [TRAIN] epoch: 130, iter: 48300/160000, loss: 0.0795, lr: 0.000042, batch_cost: 1.1906, reader_cost: 0.00016, ips: 1.6798 samples/sec | ETA 36:56:32 2021-08-22 05:45:19 [INFO] [TRAIN] epoch: 130, iter: 48310/160000, loss: 0.0898, lr: 0.000042, batch_cost: 1.1993, reader_cost: 0.00019, ips: 1.6676 samples/sec | ETA 37:12:30 2021-08-22 05:45:31 [INFO] [TRAIN] epoch: 130, iter: 48320/160000, loss: 0.0660, lr: 0.000042, batch_cost: 1.2010, reader_cost: 0.00017, ips: 1.6653 samples/sec | ETA 37:15:23 2021-08-22 05:45:43 [INFO] [TRAIN] epoch: 130, iter: 48330/160000, loss: 0.0766, lr: 0.000042, batch_cost: 1.2011, reader_cost: 0.00017, ips: 1.6651 samples/sec | ETA 37:15:27 2021-08-22 05:45:55 [INFO] [TRAIN] epoch: 130, iter: 48340/160000, loss: 0.0721, lr: 0.000042, batch_cost: 1.2010, reader_cost: 0.00017, ips: 1.6653 samples/sec | ETA 37:15:01 2021-08-22 05:46:07 [INFO] [TRAIN] epoch: 130, iter: 48350/160000, loss: 0.0725, lr: 0.000042, batch_cost: 1.1879, reader_cost: 0.00016, ips: 1.6836 samples/sec | ETA 36:50:30 2021-08-22 05:46:19 [INFO] [TRAIN] epoch: 130, iter: 48360/160000, loss: 0.0843, lr: 0.000042, batch_cost: 1.1667, reader_cost: 0.00012, ips: 1.7143 samples/sec | ETA 36:10:46 2021-08-22 05:46:33 [INFO] [TRAIN] epoch: 131, iter: 48370/160000, loss: 0.0792, lr: 0.000042, batch_cost: 1.3894, reader_cost: 0.18667, ips: 1.4395 samples/sec | ETA 43:04:58 2021-08-22 05:46:45 [INFO] [TRAIN] epoch: 131, iter: 48380/160000, loss: 0.0654, lr: 0.000042, batch_cost: 1.1946, reader_cost: 0.00063, ips: 1.6742 samples/sec | ETA 37:02:17 2021-08-22 05:46:57 [INFO] [TRAIN] epoch: 131, iter: 48390/160000, loss: 0.0738, lr: 0.000042, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6767 samples/sec | ETA 36:58:54 2021-08-22 05:47:09 [INFO] [TRAIN] epoch: 131, iter: 48400/160000, loss: 0.0933, lr: 0.000042, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6780 samples/sec | ETA 36:56:58 2021-08-22 05:47:21 [INFO] [TRAIN] epoch: 131, iter: 48410/160000, loss: 0.0758, lr: 0.000042, batch_cost: 1.1973, reader_cost: 0.00017, ips: 1.6704 samples/sec | ETA 37:06:45 2021-08-22 05:47:32 [INFO] [TRAIN] epoch: 131, iter: 48420/160000, loss: 0.0734, lr: 0.000042, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6837 samples/sec | ETA 36:48:59 2021-08-22 05:47:44 [INFO] [TRAIN] epoch: 131, iter: 48430/160000, loss: 0.0769, lr: 0.000042, batch_cost: 1.1855, reader_cost: 0.00017, ips: 1.6871 samples/sec | ETA 36:44:25 2021-08-22 05:47:56 [INFO] [TRAIN] epoch: 131, iter: 48440/160000, loss: 0.0708, lr: 0.000042, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6745 samples/sec | ETA 37:00:47 2021-08-22 05:48:08 [INFO] [TRAIN] epoch: 131, iter: 48450/160000, loss: 0.0624, lr: 0.000042, batch_cost: 1.1979, reader_cost: 0.00017, ips: 1.6696 samples/sec | ETA 37:07:08 2021-08-22 05:48:20 [INFO] [TRAIN] epoch: 131, iter: 48460/160000, loss: 0.0649, lr: 0.000042, batch_cost: 1.1919, reader_cost: 0.00018, ips: 1.6780 samples/sec | ETA 36:55:44 2021-08-22 05:48:32 [INFO] [TRAIN] epoch: 131, iter: 48470/160000, loss: 0.0741, lr: 0.000042, batch_cost: 1.1908, reader_cost: 0.00017, ips: 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0.000042, batch_cost: 1.1956, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 37:01:08 2021-08-22 05:49:56 [INFO] [TRAIN] epoch: 131, iter: 48540/160000, loss: 0.0747, lr: 0.000042, batch_cost: 1.1889, reader_cost: 0.00017, ips: 1.6823 samples/sec | ETA 36:48:29 2021-08-22 05:50:08 [INFO] [TRAIN] epoch: 131, iter: 48550/160000, loss: 0.0657, lr: 0.000042, batch_cost: 1.2026, reader_cost: 0.00018, ips: 1.6631 samples/sec | ETA 37:13:48 2021-08-22 05:50:20 [INFO] [TRAIN] epoch: 131, iter: 48560/160000, loss: 0.0571, lr: 0.000042, batch_cost: 1.2015, reader_cost: 0.00017, ips: 1.6645 samples/sec | ETA 37:11:38 2021-08-22 05:50:32 [INFO] [TRAIN] epoch: 131, iter: 48570/160000, loss: 0.0598, lr: 0.000042, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 36:56:56 2021-08-22 05:50:43 [INFO] [TRAIN] epoch: 131, iter: 48580/160000, loss: 0.0570, lr: 0.000042, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 36:54:57 2021-08-22 05:50:55 [INFO] [TRAIN] epoch: 131, iter: 48590/160000, loss: 0.0727, lr: 0.000042, batch_cost: 1.1933, reader_cost: 0.00017, ips: 1.6760 samples/sec | ETA 36:55:46 2021-08-22 05:51:07 [INFO] [TRAIN] epoch: 131, iter: 48600/160000, loss: 0.0638, lr: 0.000042, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 36:58:19 2021-08-22 05:51:19 [INFO] [TRAIN] epoch: 131, iter: 48610/160000, loss: 0.0689, lr: 0.000042, batch_cost: 1.1968, reader_cost: 0.00018, ips: 1.6712 samples/sec | ETA 37:01:46 2021-08-22 05:51:31 [INFO] [TRAIN] epoch: 131, iter: 48620/160000, loss: 0.0695, lr: 0.000042, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 36:55:59 2021-08-22 05:51:43 [INFO] [TRAIN] epoch: 131, iter: 48630/160000, loss: 0.0540, lr: 0.000042, batch_cost: 1.1992, reader_cost: 0.00018, ips: 1.6677 samples/sec | ETA 37:05:59 2021-08-22 05:51:55 [INFO] [TRAIN] epoch: 131, iter: 48640/160000, loss: 0.0743, lr: 0.000042, batch_cost: 1.2025, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 132, iter: 48760/160000, loss: 0.0713, lr: 0.000042, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 36:50:39 2021-08-22 05:54:33 [INFO] [TRAIN] epoch: 132, iter: 48770/160000, loss: 0.0758, lr: 0.000042, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 36:55:03 2021-08-22 05:54:44 [INFO] [TRAIN] epoch: 132, iter: 48780/160000, loss: 0.0678, lr: 0.000042, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6815 samples/sec | ETA 36:44:48 2021-08-22 05:54:56 [INFO] [TRAIN] epoch: 132, iter: 48790/160000, loss: 0.0798, lr: 0.000042, batch_cost: 1.1943, reader_cost: 0.00017, ips: 1.6746 samples/sec | ETA 36:53:40 2021-08-22 05:55:08 [INFO] [TRAIN] epoch: 132, iter: 48800/160000, loss: 0.0789, lr: 0.000042, batch_cost: 1.1960, reader_cost: 0.00017, ips: 1.6722 samples/sec | ETA 36:56:37 2021-08-22 05:55:20 [INFO] [TRAIN] epoch: 132, iter: 48810/160000, loss: 0.1024, lr: 0.000042, batch_cost: 1.1906, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 132, iter: 48930/160000, loss: 0.0530, lr: 0.000042, batch_cost: 1.1899, reader_cost: 0.00016, ips: 1.6808 samples/sec | ETA 36:42:42 2021-08-22 05:57:55 [INFO] [TRAIN] epoch: 132, iter: 48940/160000, loss: 0.0668, lr: 0.000042, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6794 samples/sec | ETA 36:44:24 2021-08-22 05:58:07 [INFO] [TRAIN] epoch: 132, iter: 48950/160000, loss: 0.0863, lr: 0.000042, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 36:52:44 2021-08-22 05:58:19 [INFO] [TRAIN] epoch: 132, iter: 48960/160000, loss: 0.0673, lr: 0.000042, batch_cost: 1.1982, reader_cost: 0.00017, ips: 1.6691 samples/sec | ETA 36:57:31 2021-08-22 05:58:31 [INFO] [TRAIN] epoch: 132, iter: 48970/160000, loss: 0.0588, lr: 0.000042, batch_cost: 1.1905, reader_cost: 0.00016, ips: 1.6799 samples/sec | ETA 36:43:04 2021-08-22 05:58:43 [INFO] [TRAIN] epoch: 132, iter: 48980/160000, loss: 0.0785, lr: 0.000042, batch_cost: 1.1963, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 132, iter: 49100/160000, loss: 0.0786, lr: 0.000042, batch_cost: 1.1882, reader_cost: 0.00013, ips: 1.6832 samples/sec | ETA 36:36:12 2021-08-22 06:01:20 [INFO] [TRAIN] epoch: 133, iter: 49110/160000, loss: 0.0848, lr: 0.000042, batch_cost: 1.3963, reader_cost: 0.18369, ips: 1.4324 samples/sec | ETA 43:00:34 2021-08-22 06:01:32 [INFO] [TRAIN] epoch: 133, iter: 49120/160000, loss: 0.0948, lr: 0.000042, batch_cost: 1.1887, reader_cost: 0.00066, ips: 1.6825 samples/sec | ETA 36:36:43 2021-08-22 06:01:44 [INFO] [TRAIN] epoch: 133, iter: 49130/160000, loss: 0.0802, lr: 0.000042, batch_cost: 1.1759, reader_cost: 0.00016, ips: 1.7008 samples/sec | ETA 36:12:57 2021-08-22 06:01:56 [INFO] [TRAIN] epoch: 133, iter: 49140/160000, loss: 0.0630, lr: 0.000042, batch_cost: 1.1863, reader_cost: 0.00017, ips: 1.6860 samples/sec | ETA 36:31:47 2021-08-22 06:02:08 [INFO] [TRAIN] epoch: 133, iter: 49150/160000, loss: 0.0700, lr: 0.000042, batch_cost: 1.1893, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 133, iter: 49270/160000, loss: 0.0832, lr: 0.000042, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6782 samples/sec | ETA 36:39:22 2021-08-22 06:04:43 [INFO] [TRAIN] epoch: 133, iter: 49280/160000, loss: 0.0645, lr: 0.000042, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6698 samples/sec | ETA 36:50:12 2021-08-22 06:04:55 [INFO] [TRAIN] epoch: 133, iter: 49290/160000, loss: 0.0925, lr: 0.000042, batch_cost: 1.1870, reader_cost: 0.00017, ips: 1.6849 samples/sec | ETA 36:30:11 2021-08-22 06:05:07 [INFO] [TRAIN] epoch: 133, iter: 49300/160000, loss: 0.0652, lr: 0.000042, batch_cost: 1.1962, reader_cost: 0.00018, ips: 1.6719 samples/sec | ETA 36:47:04 2021-08-22 06:05:19 [INFO] [TRAIN] epoch: 133, iter: 49310/160000, loss: 0.0741, lr: 0.000042, batch_cost: 1.1943, reader_cost: 0.00017, ips: 1.6746 samples/sec | ETA 36:43:20 2021-08-22 06:05:30 [INFO] [TRAIN] epoch: 133, iter: 49320/160000, loss: 0.0700, lr: 0.000042, batch_cost: 1.1920, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 133, iter: 49440/160000, loss: 0.0701, lr: 0.000041, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6771 samples/sec | ETA 36:37:23 2021-08-22 06:08:06 [INFO] [TRAIN] epoch: 133, iter: 49450/160000, loss: 0.0696, lr: 0.000041, batch_cost: 1.1857, reader_cost: 0.00017, ips: 1.6867 samples/sec | ETA 36:24:43 2021-08-22 06:08:18 [INFO] [TRAIN] epoch: 133, iter: 49460/160000, loss: 0.0900, lr: 0.000041, batch_cost: 1.1895, reader_cost: 0.00017, ips: 1.6814 samples/sec | ETA 36:31:22 2021-08-22 06:08:29 [INFO] [TRAIN] epoch: 133, iter: 49470/160000, loss: 0.0925, lr: 0.000041, batch_cost: 1.1803, reader_cost: 0.00014, ips: 1.6945 samples/sec | ETA 36:14:15 2021-08-22 06:08:43 [INFO] [TRAIN] epoch: 134, iter: 49480/160000, loss: 0.0661, lr: 0.000041, batch_cost: 1.3648, reader_cost: 0.16068, ips: 1.4654 samples/sec | ETA 41:53:59 2021-08-22 06:08:55 [INFO] [TRAIN] epoch: 134, iter: 49490/160000, loss: 0.0778, lr: 0.000041, batch_cost: 1.2000, reader_cost: 0.00061, ips: 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[TRAIN] epoch: 134, iter: 49610/160000, loss: 0.0836, lr: 0.000041, batch_cost: 1.2008, reader_cost: 0.00017, ips: 1.6655 samples/sec | ETA 36:49:19 2021-08-22 06:11:32 [INFO] [TRAIN] epoch: 134, iter: 49620/160000, loss: 0.0756, lr: 0.000041, batch_cost: 1.2005, reader_cost: 0.00017, ips: 1.6659 samples/sec | ETA 36:48:35 2021-08-22 06:11:44 [INFO] [TRAIN] epoch: 134, iter: 49630/160000, loss: 0.0778, lr: 0.000041, batch_cost: 1.2063, reader_cost: 0.00018, ips: 1.6580 samples/sec | ETA 36:58:56 2021-08-22 06:11:56 [INFO] [TRAIN] epoch: 134, iter: 49640/160000, loss: 0.0803, lr: 0.000041, batch_cost: 1.2040, reader_cost: 0.00018, ips: 1.6612 samples/sec | ETA 36:54:28 2021-08-22 06:12:08 [INFO] [TRAIN] epoch: 134, iter: 49650/160000, loss: 0.0851, lr: 0.000041, batch_cost: 1.2071, reader_cost: 0.00017, ips: 1.6569 samples/sec | ETA 37:00:02 2021-08-22 06:12:20 [INFO] [TRAIN] epoch: 134, iter: 49660/160000, loss: 0.1049, lr: 0.000041, batch_cost: 1.1989, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 134, iter: 49780/160000, loss: 0.0693, lr: 0.000041, batch_cost: 1.2036, reader_cost: 0.00016, ips: 1.6617 samples/sec | ETA 36:51:01 2021-08-22 06:14:56 [INFO] [TRAIN] epoch: 134, iter: 49790/160000, loss: 0.0704, lr: 0.000041, batch_cost: 1.1897, reader_cost: 0.00016, ips: 1.6811 samples/sec | ETA 36:25:17 2021-08-22 06:15:08 [INFO] [TRAIN] epoch: 134, iter: 49800/160000, loss: 0.0791, lr: 0.000041, batch_cost: 1.2035, reader_cost: 0.00019, ips: 1.6618 samples/sec | ETA 36:50:27 2021-08-22 06:15:20 [INFO] [TRAIN] epoch: 134, iter: 49810/160000, loss: 0.0790, lr: 0.000041, batch_cost: 1.1982, reader_cost: 0.00017, ips: 1.6692 samples/sec | ETA 36:40:28 2021-08-22 06:15:32 [INFO] [TRAIN] epoch: 134, iter: 49820/160000, loss: 0.0713, lr: 0.000041, batch_cost: 1.1847, reader_cost: 0.00016, ips: 1.6881 samples/sec | ETA 36:15:34 2021-08-22 06:15:44 [INFO] [TRAIN] epoch: 134, iter: 49830/160000, loss: 0.0678, lr: 0.000041, batch_cost: 1.1937, reader_cost: 0.00016, ips: 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[TRAIN] epoch: 135, iter: 49950/160000, loss: 0.0756, lr: 0.000041, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 36:19:40 2021-08-22 06:18:20 [INFO] [TRAIN] epoch: 135, iter: 49960/160000, loss: 0.1011, lr: 0.000041, batch_cost: 1.1956, reader_cost: 0.00017, ips: 1.6728 samples/sec | ETA 36:32:46 2021-08-22 06:18:32 [INFO] [TRAIN] epoch: 135, iter: 49970/160000, loss: 0.0885, lr: 0.000041, batch_cost: 1.1916, reader_cost: 0.00018, ips: 1.6784 samples/sec | ETA 36:25:14 2021-08-22 06:18:44 [INFO] [TRAIN] epoch: 135, iter: 49980/160000, loss: 0.0796, lr: 0.000041, batch_cost: 1.1926, reader_cost: 0.00017, ips: 1.6770 samples/sec | ETA 36:26:50 2021-08-22 06:18:56 [INFO] [TRAIN] epoch: 135, iter: 49990/160000, loss: 0.0660, lr: 0.000041, batch_cost: 1.1971, reader_cost: 0.00016, ips: 1.6707 samples/sec | ETA 36:34:56 2021-08-22 06:19:08 [INFO] [TRAIN] epoch: 135, iter: 50000/160000, loss: 0.0665, lr: 0.000041, batch_cost: 1.1876, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 135, iter: 50120/160000, loss: 0.0701, lr: 0.000041, batch_cost: 1.1852, reader_cost: 0.00017, ips: 1.6875 samples/sec | ETA 36:10:26 2021-08-22 06:21:43 [INFO] [TRAIN] epoch: 135, iter: 50130/160000, loss: 0.0811, lr: 0.000041, batch_cost: 1.1967, reader_cost: 0.00017, ips: 1.6713 samples/sec | ETA 36:31:20 2021-08-22 06:21:55 [INFO] [TRAIN] epoch: 135, iter: 50140/160000, loss: 0.0658, lr: 0.000041, batch_cost: 1.1842, reader_cost: 0.00016, ips: 1.6890 samples/sec | ETA 36:08:12 2021-08-22 06:22:07 [INFO] [TRAIN] epoch: 135, iter: 50150/160000, loss: 0.0979, lr: 0.000041, batch_cost: 1.1995, reader_cost: 0.00017, ips: 1.6673 samples/sec | ETA 36:36:10 2021-08-22 06:22:18 [INFO] [TRAIN] epoch: 135, iter: 50160/160000, loss: 0.0908, lr: 0.000041, batch_cost: 1.1872, reader_cost: 0.00016, ips: 1.6847 samples/sec | ETA 36:13:20 2021-08-22 06:22:30 [INFO] [TRAIN] epoch: 135, iter: 50170/160000, loss: 0.0733, lr: 0.000041, batch_cost: 1.1982, reader_cost: 0.00018, ips: 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[TRAIN] epoch: 136, iter: 50290/160000, loss: 0.0746, lr: 0.000041, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6794 samples/sec | ETA 36:17:30 2021-08-22 06:25:07 [INFO] [TRAIN] epoch: 136, iter: 50300/160000, loss: 0.0769, lr: 0.000041, batch_cost: 1.1914, reader_cost: 0.00018, ips: 1.6788 samples/sec | ETA 36:18:11 2021-08-22 06:25:19 [INFO] [TRAIN] epoch: 136, iter: 50310/160000, loss: 0.0789, lr: 0.000041, batch_cost: 1.1902, reader_cost: 0.00018, ips: 1.6804 samples/sec | ETA 36:15:54 2021-08-22 06:25:31 [INFO] [TRAIN] epoch: 136, iter: 50320/160000, loss: 0.0870, lr: 0.000041, batch_cost: 1.1848, reader_cost: 0.00017, ips: 1.6880 samples/sec | ETA 36:05:54 2021-08-22 06:25:43 [INFO] [TRAIN] epoch: 136, iter: 50330/160000, loss: 0.0706, lr: 0.000041, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6745 samples/sec | ETA 36:23:07 2021-08-22 06:25:55 [INFO] [TRAIN] epoch: 136, iter: 50340/160000, loss: 0.0716, lr: 0.000041, batch_cost: 1.1978, reader_cost: 0.00018, ips: 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[TRAIN] epoch: 136, iter: 50460/160000, loss: 0.0844, lr: 0.000041, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 36:08:06 2021-08-22 06:28:30 [INFO] [TRAIN] epoch: 136, iter: 50470/160000, loss: 0.0707, lr: 0.000041, batch_cost: 1.1841, reader_cost: 0.00016, ips: 1.6891 samples/sec | ETA 36:01:32 2021-08-22 06:28:42 [INFO] [TRAIN] epoch: 136, iter: 50480/160000, loss: 0.0912, lr: 0.000041, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6772 samples/sec | ETA 36:16:42 2021-08-22 06:28:54 [INFO] [TRAIN] epoch: 136, iter: 50490/160000, loss: 0.0785, lr: 0.000041, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6730 samples/sec | ETA 36:21:56 2021-08-22 06:29:06 [INFO] [TRAIN] epoch: 136, iter: 50500/160000, loss: 0.0728, lr: 0.000041, batch_cost: 1.1957, reader_cost: 0.00017, ips: 1.6727 samples/sec | ETA 36:22:04 2021-08-22 06:29:18 [INFO] [TRAIN] epoch: 136, iter: 50510/160000, loss: 0.0641, lr: 0.000041, batch_cost: 1.1952, reader_cost: 0.00018, ips: 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[TRAIN] epoch: 137, iter: 50630/160000, loss: 0.0821, lr: 0.000041, batch_cost: 1.1993, reader_cost: 0.00017, ips: 1.6676 samples/sec | ETA 36:26:09 2021-08-22 06:31:55 [INFO] [TRAIN] epoch: 137, iter: 50640/160000, loss: 0.0751, lr: 0.000041, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6816 samples/sec | ETA 36:07:46 2021-08-22 06:32:07 [INFO] [TRAIN] epoch: 137, iter: 50650/160000, loss: 0.0608, lr: 0.000041, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6788 samples/sec | ETA 36:11:13 2021-08-22 06:32:19 [INFO] [TRAIN] epoch: 137, iter: 50660/160000, loss: 0.0647, lr: 0.000041, batch_cost: 1.1860, reader_cost: 0.00017, ips: 1.6863 samples/sec | ETA 36:01:17 2021-08-22 06:32:31 [INFO] [TRAIN] epoch: 137, iter: 50670/160000, loss: 0.0651, lr: 0.000041, batch_cost: 1.1951, reader_cost: 0.00017, ips: 1.6736 samples/sec | ETA 36:17:36 2021-08-22 06:32:43 [INFO] [TRAIN] epoch: 137, iter: 50680/160000, loss: 0.0721, lr: 0.000041, batch_cost: 1.1980, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 137, iter: 50800/160000, loss: 0.0778, lr: 0.000041, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6732 samples/sec | ETA 36:15:28 2021-08-22 06:35:18 [INFO] [TRAIN] epoch: 137, iter: 50810/160000, loss: 0.0700, lr: 0.000041, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6815 samples/sec | ETA 36:04:30 2021-08-22 06:35:30 [INFO] [TRAIN] epoch: 137, iter: 50820/160000, loss: 0.0772, lr: 0.000041, batch_cost: 1.1926, reader_cost: 0.00016, ips: 1.6770 samples/sec | ETA 36:10:05 2021-08-22 06:35:42 [INFO] [TRAIN] epoch: 137, iter: 50830/160000, loss: 0.0641, lr: 0.000041, batch_cost: 1.2010, reader_cost: 0.00016, ips: 1.6653 samples/sec | ETA 36:25:13 2021-08-22 06:35:54 [INFO] [TRAIN] epoch: 137, iter: 50840/160000, loss: 0.0700, lr: 0.000041, batch_cost: 1.1911, reader_cost: 0.00015, ips: 1.6791 samples/sec | ETA 36:06:58 2021-08-22 06:36:06 [INFO] [TRAIN] epoch: 137, iter: 50850/160000, loss: 0.0642, lr: 0.000041, batch_cost: 1.1915, reader_cost: 0.00016, ips: 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[TRAIN] epoch: 138, iter: 50970/160000, loss: 0.0615, lr: 0.000041, batch_cost: 1.3868, reader_cost: 0.15909, ips: 1.4422 samples/sec | ETA 42:00:04 2021-08-22 06:38:42 [INFO] [TRAIN] epoch: 138, iter: 50980/160000, loss: 0.0598, lr: 0.000041, batch_cost: 1.1907, reader_cost: 0.00068, ips: 1.6796 samples/sec | ETA 36:03:35 2021-08-22 06:38:54 [INFO] [TRAIN] epoch: 138, iter: 50990/160000, loss: 0.0607, lr: 0.000041, batch_cost: 1.1877, reader_cost: 0.00016, ips: 1.6839 samples/sec | ETA 35:57:53 2021-08-22 06:39:06 [INFO] [TRAIN] epoch: 138, iter: 51000/160000, loss: 0.0686, lr: 0.000041, batch_cost: 1.1890, reader_cost: 0.00016, ips: 1.6821 samples/sec | ETA 35:59:56 2021-08-22 06:39:18 [INFO] [TRAIN] epoch: 138, iter: 51010/160000, loss: 0.0712, lr: 0.000041, batch_cost: 1.1999, reader_cost: 0.00016, ips: 1.6668 samples/sec | ETA 36:19:35 2021-08-22 06:39:30 [INFO] [TRAIN] epoch: 138, iter: 51020/160000, loss: 0.0640, lr: 0.000041, batch_cost: 1.2059, reader_cost: 0.00016, ips: 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[TRAIN] epoch: 138, iter: 51140/160000, loss: 0.0674, lr: 0.000041, batch_cost: 1.1909, reader_cost: 0.00018, ips: 1.6793 samples/sec | ETA 36:00:46 2021-08-22 06:42:05 [INFO] [TRAIN] epoch: 138, iter: 51150/160000, loss: 0.0829, lr: 0.000041, batch_cost: 1.1920, reader_cost: 0.00019, ips: 1.6778 samples/sec | ETA 36:02:34 2021-08-22 06:42:17 [INFO] [TRAIN] epoch: 138, iter: 51160/160000, loss: 0.0682, lr: 0.000041, batch_cost: 1.1942, reader_cost: 0.00017, ips: 1.6747 samples/sec | ETA 36:06:20 2021-08-22 06:42:29 [INFO] [TRAIN] epoch: 138, iter: 51170/160000, loss: 0.0805, lr: 0.000041, batch_cost: 1.1858, reader_cost: 0.00017, ips: 1.6866 samples/sec | ETA 35:50:51 2021-08-22 06:42:41 [INFO] [TRAIN] epoch: 138, iter: 51180/160000, loss: 0.0845, lr: 0.000041, batch_cost: 1.1819, reader_cost: 0.00017, ips: 1.6922 samples/sec | ETA 35:43:33 2021-08-22 06:42:53 [INFO] [TRAIN] epoch: 138, iter: 51190/160000, loss: 0.0535, lr: 0.000041, batch_cost: 1.1871, reader_cost: 0.00018, ips: 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0.000041, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6740 samples/sec | ETA 36:05:30 2021-08-22 06:44:16 [INFO] [TRAIN] epoch: 138, iter: 51260/160000, loss: 0.0681, lr: 0.000041, batch_cost: 1.1939, reader_cost: 0.00018, ips: 1.6752 samples/sec | ETA 36:03:44 2021-08-22 06:44:28 [INFO] [TRAIN] epoch: 138, iter: 51270/160000, loss: 0.0713, lr: 0.000041, batch_cost: 1.1987, reader_cost: 0.00017, ips: 1.6685 samples/sec | ETA 36:12:09 2021-08-22 06:44:40 [INFO] [TRAIN] epoch: 138, iter: 51280/160000, loss: 0.0934, lr: 0.000041, batch_cost: 1.1909, reader_cost: 0.00016, ips: 1.6794 samples/sec | ETA 35:57:56 2021-08-22 06:44:52 [INFO] [TRAIN] epoch: 138, iter: 51290/160000, loss: 0.0666, lr: 0.000041, batch_cost: 1.1932, reader_cost: 0.00017, ips: 1.6761 samples/sec | ETA 36:01:57 2021-08-22 06:45:04 [INFO] [TRAIN] epoch: 138, iter: 51300/160000, loss: 0.0642, lr: 0.000041, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 36:04:40 2021-08-22 06:45:16 [INFO] [TRAIN] epoch: 138, iter: 51310/160000, loss: 0.0671, lr: 0.000041, batch_cost: 1.1886, reader_cost: 0.00016, ips: 1.6826 samples/sec | ETA 35:53:12 2021-08-22 06:45:28 [INFO] [TRAIN] epoch: 138, iter: 51320/160000, loss: 0.0693, lr: 0.000041, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 35:52:45 2021-08-22 06:45:39 [INFO] [TRAIN] epoch: 138, iter: 51330/160000, loss: 0.0766, lr: 0.000041, batch_cost: 1.1766, reader_cost: 0.00015, ips: 1.6998 samples/sec | ETA 35:30:59 2021-08-22 06:45:53 [INFO] [TRAIN] epoch: 139, iter: 51340/160000, loss: 0.0813, lr: 0.000041, batch_cost: 1.3920, reader_cost: 0.16533, ips: 1.4368 samples/sec | ETA 42:00:51 2021-08-22 06:46:05 [INFO] [TRAIN] epoch: 139, iter: 51350/160000, loss: 0.0708, lr: 0.000041, batch_cost: 1.1917, reader_cost: 0.00066, ips: 1.6783 samples/sec | ETA 35:57:58 2021-08-22 06:46:17 [INFO] [TRAIN] epoch: 139, iter: 51360/160000, loss: 0.0626, lr: 0.000041, batch_cost: 1.1860, reader_cost: 0.00018, ips: 1.6864 samples/sec | ETA 35:47:23 2021-08-22 06:46:29 [INFO] [TRAIN] epoch: 139, iter: 51370/160000, loss: 0.0755, lr: 0.000041, batch_cost: 1.1925, reader_cost: 0.00018, ips: 1.6772 samples/sec | ETA 35:58:59 2021-08-22 06:46:41 [INFO] [TRAIN] epoch: 139, iter: 51380/160000, loss: 0.0801, lr: 0.000041, batch_cost: 1.1906, reader_cost: 0.00018, ips: 1.6798 samples/sec | ETA 35:55:25 2021-08-22 06:46:53 [INFO] [TRAIN] epoch: 139, iter: 51390/160000, loss: 0.0682, lr: 0.000041, batch_cost: 1.1869, reader_cost: 0.00018, ips: 1.6851 samples/sec | ETA 35:48:29 2021-08-22 06:47:05 [INFO] [TRAIN] epoch: 139, iter: 51400/160000, loss: 0.0647, lr: 0.000041, batch_cost: 1.1875, reader_cost: 0.00018, ips: 1.6842 samples/sec | ETA 35:49:25 2021-08-22 06:47:17 [INFO] [TRAIN] epoch: 139, iter: 51410/160000, loss: 0.0689, lr: 0.000041, batch_cost: 1.1862, reader_cost: 0.00017, ips: 1.6860 samples/sec | ETA 35:46:50 2021-08-22 06:47:28 [INFO] [TRAIN] epoch: 139, iter: 51420/160000, loss: 0.0739, lr: 0.000041, batch_cost: 1.1924, reader_cost: 0.00018, ips: 1.6773 samples/sec | ETA 35:57:49 2021-08-22 06:47:40 [INFO] [TRAIN] epoch: 139, iter: 51430/160000, loss: 0.0659, lr: 0.000041, batch_cost: 1.1946, reader_cost: 0.00017, ips: 1.6742 samples/sec | ETA 36:01:41 2021-08-22 06:47:52 [INFO] [TRAIN] epoch: 139, iter: 51440/160000, loss: 0.0669, lr: 0.000041, batch_cost: 1.2009, reader_cost: 0.00017, ips: 1.6655 samples/sec | ETA 36:12:46 2021-08-22 06:48:04 [INFO] [TRAIN] epoch: 139, iter: 51450/160000, loss: 0.0701, lr: 0.000041, batch_cost: 1.1972, reader_cost: 0.00017, ips: 1.6705 samples/sec | ETA 36:06:00 2021-08-22 06:48:16 [INFO] [TRAIN] epoch: 139, iter: 51460/160000, loss: 0.0628, lr: 0.000041, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6755 samples/sec | ETA 35:59:22 2021-08-22 06:48:28 [INFO] [TRAIN] epoch: 139, iter: 51470/160000, loss: 0.0801, lr: 0.000041, batch_cost: 1.1850, reader_cost: 0.00017, ips: 1.6878 samples/sec | ETA 35:43:23 2021-08-22 06:48:40 [INFO] [TRAIN] epoch: 139, iter: 51480/160000, loss: 0.0707, lr: 0.000041, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6820 samples/sec | ETA 35:50:35 2021-08-22 06:48:52 [INFO] [TRAIN] epoch: 139, iter: 51490/160000, loss: 0.0729, lr: 0.000041, batch_cost: 1.1859, reader_cost: 0.00017, ips: 1.6865 samples/sec | ETA 35:44:40 2021-08-22 06:49:04 [INFO] [TRAIN] epoch: 139, iter: 51500/160000, loss: 0.0650, lr: 0.000041, batch_cost: 1.1945, reader_cost: 0.00018, ips: 1.6743 samples/sec | ETA 36:00:03 2021-08-22 06:49:16 [INFO] [TRAIN] epoch: 139, iter: 51510/160000, loss: 0.0778, lr: 0.000041, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 35:55:59 2021-08-22 06:49:28 [INFO] [TRAIN] epoch: 139, iter: 51520/160000, loss: 0.0615, lr: 0.000041, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6781 samples/sec | ETA 35:54:46 2021-08-22 06:49:40 [INFO] [TRAIN] epoch: 139, iter: 51530/160000, loss: 0.0688, lr: 0.000041, batch_cost: 1.1946, reader_cost: 0.00017, ips: 1.6743 samples/sec | ETA 35:59:33 2021-08-22 06:49:52 [INFO] [TRAIN] epoch: 139, iter: 51540/160000, loss: 0.0676, lr: 0.000041, batch_cost: 1.1875, reader_cost: 0.00018, ips: 1.6842 samples/sec | ETA 35:46:39 2021-08-22 06:50:03 [INFO] [TRAIN] epoch: 139, iter: 51550/160000, loss: 0.0827, lr: 0.000041, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6801 samples/sec | ETA 35:51:36 2021-08-22 06:50:15 [INFO] [TRAIN] epoch: 139, iter: 51560/160000, loss: 0.0655, lr: 0.000041, batch_cost: 1.1947, reader_cost: 0.00017, ips: 1.6740 samples/sec | ETA 35:59:16 2021-08-22 06:50:27 [INFO] [TRAIN] epoch: 139, iter: 51570/160000, loss: 0.0827, lr: 0.000041, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 35:59:13 2021-08-22 06:50:39 [INFO] [TRAIN] epoch: 139, iter: 51580/160000, loss: 0.0591, lr: 0.000041, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 35:53:05 2021-08-22 06:50:51 [INFO] [TRAIN] epoch: 139, iter: 51590/160000, loss: 0.0600, lr: 0.000041, batch_cost: 1.1814, reader_cost: 0.00017, ips: 1.6928 samples/sec | ETA 35:34:40 2021-08-22 06:51:03 [INFO] [TRAIN] epoch: 139, iter: 51600/160000, loss: 0.0635, lr: 0.000041, batch_cost: 1.1861, reader_cost: 0.00017, ips: 1.6862 samples/sec | ETA 35:42:51 2021-08-22 06:51:15 [INFO] [TRAIN] epoch: 139, iter: 51610/160000, loss: 0.0568, lr: 0.000041, batch_cost: 1.1844, reader_cost: 0.00017, ips: 1.6886 samples/sec | ETA 35:39:37 2021-08-22 06:51:27 [INFO] [TRAIN] epoch: 139, iter: 51620/160000, loss: 0.0827, lr: 0.000041, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 35:46:11 2021-08-22 06:51:39 [INFO] [TRAIN] epoch: 139, iter: 51630/160000, loss: 0.0633, lr: 0.000041, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 35:45:07 2021-08-22 06:51:50 [INFO] [TRAIN] epoch: 139, iter: 51640/160000, loss: 0.0789, lr: 0.000041, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 35:54:09 2021-08-22 06:52:03 [INFO] [TRAIN] epoch: 139, iter: 51650/160000, loss: 0.0742, lr: 0.000041, batch_cost: 1.2069, reader_cost: 0.00017, ips: 1.6572 samples/sec | ETA 36:19:22 2021-08-22 06:52:15 [INFO] [TRAIN] epoch: 139, iter: 51660/160000, loss: 0.0667, lr: 0.000041, batch_cost: 1.2031, reader_cost: 0.00017, ips: 1.6623 samples/sec | ETA 36:12:29 2021-08-22 06:52:27 [INFO] [TRAIN] epoch: 139, iter: 51670/160000, loss: 0.0681, lr: 0.000041, batch_cost: 1.1974, reader_cost: 0.00017, ips: 1.6703 samples/sec | ETA 36:01:55 2021-08-22 06:52:38 [INFO] [TRAIN] epoch: 139, iter: 51680/160000, loss: 0.0790, lr: 0.000041, batch_cost: 1.1897, reader_cost: 0.00017, ips: 1.6811 samples/sec | ETA 35:47:44 2021-08-22 06:52:50 [INFO] [TRAIN] epoch: 139, iter: 51690/160000, loss: 0.0880, lr: 0.000041, batch_cost: 1.1873, reader_cost: 0.00017, ips: 1.6846 samples/sec | ETA 35:43:12 2021-08-22 06:53:02 [INFO] [TRAIN] epoch: 139, iter: 51700/160000, loss: 0.0653, lr: 0.000041, batch_cost: 1.1779, reader_cost: 0.00015, ips: 1.6980 samples/sec | ETA 35:26:02 2021-08-22 06:53:16 [INFO] [TRAIN] epoch: 140, iter: 51710/160000, loss: 0.0613, lr: 0.000041, batch_cost: 1.3930, reader_cost: 0.17207, ips: 1.4357 samples/sec | ETA 41:54:11 2021-08-22 06:53:28 [INFO] [TRAIN] epoch: 140, iter: 51720/160000, loss: 0.0666, lr: 0.000041, batch_cost: 1.1964, reader_cost: 0.00067, ips: 1.6717 samples/sec | ETA 35:59:08 2021-08-22 06:53:40 [INFO] [TRAIN] epoch: 140, iter: 51730/160000, loss: 0.0674, lr: 0.000041, batch_cost: 1.1871, reader_cost: 0.00016, ips: 1.6848 samples/sec | ETA 35:42:04 2021-08-22 06:53:52 [INFO] [TRAIN] epoch: 140, iter: 51740/160000, loss: 0.0600, lr: 0.000041, batch_cost: 1.1975, reader_cost: 0.00016, ips: 1.6701 samples/sec | ETA 36:00:42 2021-08-22 06:54:04 [INFO] [TRAIN] epoch: 140, iter: 51750/160000, loss: 0.0722, lr: 0.000041, batch_cost: 1.1938, reader_cost: 0.00016, ips: 1.6753 samples/sec | ETA 35:53:50 2021-08-22 06:54:16 [INFO] [TRAIN] epoch: 140, iter: 51760/160000, loss: 0.0675, lr: 0.000041, batch_cost: 1.1910, reader_cost: 0.00016, ips: 1.6793 samples/sec | ETA 35:48:32 2021-08-22 06:54:28 [INFO] [TRAIN] epoch: 140, iter: 51770/160000, loss: 0.0689, lr: 0.000041, batch_cost: 1.1997, reader_cost: 0.00017, ips: 1.6671 samples/sec | ETA 36:04:02 2021-08-22 06:54:40 [INFO] [TRAIN] epoch: 140, iter: 51780/160000, loss: 0.0640, lr: 0.000041, batch_cost: 1.1980, reader_cost: 0.00017, ips: 1.6694 samples/sec | ETA 36:00:49 2021-08-22 06:54:52 [INFO] [TRAIN] epoch: 140, iter: 51790/160000, loss: 0.0741, lr: 0.000041, batch_cost: 1.1858, reader_cost: 0.00016, ips: 1.6866 samples/sec | ETA 35:38:37 2021-08-22 06:55:03 [INFO] [TRAIN] epoch: 140, iter: 51800/160000, loss: 0.0718, lr: 0.000041, batch_cost: 1.1930, reader_cost: 0.00016, ips: 1.6764 samples/sec | ETA 35:51:24 2021-08-22 06:55:15 [INFO] [TRAIN] epoch: 140, iter: 51810/160000, loss: 0.0683, lr: 0.000041, batch_cost: 1.1839, reader_cost: 0.00016, ips: 1.6894 samples/sec | ETA 35:34:42 2021-08-22 06:55:27 [INFO] [TRAIN] epoch: 140, iter: 51820/160000, loss: 0.0986, lr: 0.000041, batch_cost: 1.1857, reader_cost: 0.00016, ips: 1.6868 samples/sec | ETA 35:37:44 2021-08-22 06:55:39 [INFO] [TRAIN] epoch: 140, iter: 51830/160000, loss: 0.0686, lr: 0.000041, batch_cost: 1.1893, reader_cost: 0.00016, ips: 1.6816 samples/sec | ETA 35:44:11 2021-08-22 06:55:51 [INFO] [TRAIN] epoch: 140, iter: 51840/160000, loss: 0.0832, lr: 0.000041, batch_cost: 1.1974, reader_cost: 0.00016, ips: 1.6703 samples/sec | ETA 35:58:26 2021-08-22 06:56:03 [INFO] [TRAIN] epoch: 140, iter: 51850/160000, loss: 0.0573, lr: 0.000041, batch_cost: 1.1857, reader_cost: 0.00017, ips: 1.6868 samples/sec | ETA 35:37:12 2021-08-22 06:56:15 [INFO] [TRAIN] epoch: 140, iter: 51860/160000, loss: 0.0652, lr: 0.000041, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6797 samples/sec | ETA 35:46:02 2021-08-22 06:56:27 [INFO] [TRAIN] epoch: 140, iter: 51870/160000, loss: 0.0700, lr: 0.000041, batch_cost: 1.1913, reader_cost: 0.00016, ips: 1.6788 samples/sec | ETA 35:46:54 2021-08-22 06:56:39 [INFO] [TRAIN] epoch: 140, iter: 51880/160000, loss: 0.0620, lr: 0.000041, batch_cost: 1.1833, reader_cost: 0.00016, ips: 1.6902 samples/sec | ETA 35:32:15 2021-08-22 06:56:50 [INFO] [TRAIN] epoch: 140, iter: 51890/160000, loss: 0.0711, lr: 0.000041, batch_cost: 1.1901, reader_cost: 0.00016, ips: 1.6805 samples/sec | ETA 35:44:20 2021-08-22 06:57:02 [INFO] [TRAIN] epoch: 140, iter: 51900/160000, loss: 0.0820, lr: 0.000041, batch_cost: 1.1958, reader_cost: 0.00016, ips: 1.6726 samples/sec | ETA 35:54:22 2021-08-22 06:57:14 [INFO] [TRAIN] epoch: 140, iter: 51910/160000, loss: 0.0806, lr: 0.000041, batch_cost: 1.1944, reader_cost: 0.00016, ips: 1.6745 samples/sec | ETA 35:51:43 2021-08-22 06:57:26 [INFO] [TRAIN] epoch: 140, iter: 51920/160000, loss: 0.0960, lr: 0.000041, batch_cost: 1.1913, reader_cost: 0.00016, ips: 1.6789 samples/sec | ETA 35:45:53 2021-08-22 06:57:38 [INFO] [TRAIN] epoch: 140, iter: 51930/160000, loss: 0.0780, lr: 0.000041, batch_cost: 1.1935, reader_cost: 0.00017, ips: 1.6757 samples/sec | ETA 35:49:44 2021-08-22 06:57:50 [INFO] [TRAIN] epoch: 140, iter: 51940/160000, loss: 0.0708, lr: 0.000041, batch_cost: 1.1930, reader_cost: 0.00016, ips: 1.6764 samples/sec | ETA 35:48:39 2021-08-22 06:58:02 [INFO] [TRAIN] epoch: 140, iter: 51950/160000, loss: 0.0829, lr: 0.000041, batch_cost: 1.1883, reader_cost: 0.00017, ips: 1.6831 samples/sec | ETA 35:39:53 2021-08-22 06:58:14 [INFO] [TRAIN] epoch: 140, iter: 51960/160000, loss: 0.0686, lr: 0.000041, batch_cost: 1.1908, reader_cost: 0.00016, ips: 1.6795 samples/sec | ETA 35:44:19 2021-08-22 06:58:26 [INFO] [TRAIN] epoch: 140, iter: 51970/160000, loss: 0.0680, lr: 0.000041, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 35:41:49 2021-08-22 06:58:38 [INFO] [TRAIN] epoch: 140, iter: 51980/160000, loss: 0.0728, lr: 0.000041, batch_cost: 1.1962, reader_cost: 0.00017, ips: 1.6720 samples/sec | ETA 35:53:30 2021-08-22 06:58:50 [INFO] [TRAIN] epoch: 140, iter: 51990/160000, loss: 0.0708, lr: 0.000041, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6723 samples/sec | ETA 35:52:51 2021-08-22 06:59:02 [INFO] [TRAIN] epoch: 140, iter: 52000/160000, loss: 0.0770, lr: 0.000041, batch_cost: 1.1900, reader_cost: 0.00017, ips: 1.6807 samples/sec | ETA 35:41:55 2021-08-22 06:59:02 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:33 - batch_cost: 2.2076 - reader cost: 0.3589 2/125 [..............................] - ETA: 4:13 - batch_cost: 2.0597 - reader cost: 0.1796 3/125 [..............................] - ETA: 4:04 - batch_cost: 2.0021 - reader cost: 0.1198 4/125 [..............................] - ETA: 3:58 - batch_cost: 1.9716 - reader cost: 0.0899 5/125 [>.............................] - ETA: 3:54 - batch_cost: 1.9506 - reader cost: 0.0719 6/125 [>.............................] - ETA: 3:50 - batch_cost: 1.9381 - reader cost: 0.0600 7/125 [>.............................] - ETA: 3:47 - batch_cost: 1.9294 - reader cost: 0.0514 8/125 [>.............................] - ETA: 3:45 - batch_cost: 1.9242 - reader cost: 0.0450 9/125 [=>............................] - ETA: 3:42 - batch_cost: 1.9202 - reader cost: 0.0401 10/125 [=>............................] - ETA: 3:40 - batch_cost: 1.9158 - reader cost: 0.0361 11/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9136 - reader cost: 0.0328 12/125 [=>............................] - ETA: 3:36 - batch_cost: 1.9119 - reader cost: 0.0301 13/125 [==>...........................] - ETA: 3:33 - batch_cost: 1.9102 - reader cost: 0.0278 14/125 [==>...........................] - ETA: 3:31 - batch_cost: 1.9093 - reader cost: 0.0258 15/125 [==>...........................] - ETA: 3:29 - batch_cost: 1.9077 - reader cost: 0.0241 16/125 [==>...........................] - ETA: 3:27 - batch_cost: 1.9062 - reader cost: 0.0226 17/125 [===>..........................] - ETA: 3:25 - batch_cost: 1.9049 - reader cost: 0.0213 18/125 [===>..........................] - ETA: 3:23 - batch_cost: 1.9049 - reader cost: 0.0201 19/125 [===>..........................] - ETA: 3:21 - batch_cost: 1.9048 - reader cost: 0.0191 20/125 [===>..........................] - ETA: 3:19 - batch_cost: 1.9041 - reader cost: 0.0181 21/125 [====>.........................] - ETA: 3:17 - batch_cost: 1.9033 - reader cost: 0.0173 22/125 [====>.........................] - ETA: 3:15 - batch_cost: 1.9023 - reader cost: 0.0165 23/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.9017 - reader cost: 0.0158 24/125 [====>.........................] - ETA: 3:12 - batch_cost: 1.9022 - reader cost: 0.0151 25/125 [=====>........................] - ETA: 3:10 - batch_cost: 1.9024 - reader cost: 0.0145 26/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.9018 - reader cost: 0.0140 27/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.9010 - reader cost: 0.0135 28/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.9008 - reader cost: 0.0130 29/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.9004 - reader cost: 0.0126 30/125 [======>.......................] - ETA: 3:00 - batch_cost: 1.9002 - reader cost: 0.0122 31/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8996 - reader cost: 0.0118 32/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8990 - reader cost: 0.0114 33/125 [======>.......................] - ETA: 2:55 - batch_cost: 1.9065 - reader cost: 0.0111 34/125 [=======>......................] - ETA: 2:53 - batch_cost: 1.9063 - reader cost: 0.0107 35/125 [=======>......................] - ETA: 2:51 - batch_cost: 1.9062 - reader cost: 0.0104 36/125 [=======>......................] - ETA: 2:49 - batch_cost: 1.9053 - reader cost: 0.0102 37/125 [=======>......................] - ETA: 2:47 - batch_cost: 1.9045 - reader cost: 0.0099 38/125 [========>.....................] - ETA: 2:45 - batch_cost: 1.9039 - reader cost: 0.0096 39/125 [========>.....................] - ETA: 2:43 - batch_cost: 1.9033 - reader cost: 0.0094 40/125 [========>.....................] - ETA: 2:41 - batch_cost: 1.9029 - reader cost: 0.0092 41/125 [========>.....................] - ETA: 2:39 - batch_cost: 1.9024 - reader cost: 0.0089 42/125 [=========>....................] - ETA: 2:37 - batch_cost: 1.9015 - reader cost: 0.0087 43/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.9007 - reader cost: 0.0085 44/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.9001 - reader cost: 0.0083 45/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8996 - reader cost: 0.0082 46/125 [==========>...................] - ETA: 2:30 - batch_cost: 1.8991 - reader cost: 0.0080 47/125 [==========>...................] - ETA: 2:28 - batch_cost: 1.8986 - reader cost: 0.0078 48/125 [==========>...................] - ETA: 2:26 - batch_cost: 1.8980 - reader cost: 0.0077 49/125 [==========>...................] - ETA: 2:24 - batch_cost: 1.8980 - reader cost: 0.0075 50/125 [===========>..................] - ETA: 2:22 - batch_cost: 1.8983 - reader cost: 0.0074 51/125 [===========>..................] - ETA: 2:20 - batch_cost: 1.8987 - reader cost: 0.0072 52/125 [===========>..................] - ETA: 2:18 - batch_cost: 1.8991 - reader cost: 0.0071 53/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8990 - reader cost: 0.0070 54/125 [===========>..................] - ETA: 2:14 - batch_cost: 1.8988 - reader cost: 0.0068 55/125 [============>.................] - ETA: 2:12 - batch_cost: 1.8990 - reader cost: 0.0067 56/125 [============>.................] - ETA: 2:11 - batch_cost: 1.8991 - reader cost: 0.0066 57/125 [============>.................] - ETA: 2:09 - batch_cost: 1.8988 - reader cost: 0.0065 58/125 [============>.................] - ETA: 2:07 - batch_cost: 1.8979 - reader cost: 0.0064 59/125 [=============>................] - ETA: 2:05 - 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[===============>..............] - ETA: 1:44 - batch_cost: 1.8919 - reader cost: 0.0053 71/125 [================>.............] - ETA: 1:42 - batch_cost: 1.8917 - reader cost: 0.0052 72/125 [================>.............] - ETA: 1:40 - batch_cost: 1.8918 - reader cost: 0.0052 73/125 [================>.............] - ETA: 1:38 - batch_cost: 1.8918 - reader cost: 0.0051 74/125 [================>.............] - ETA: 1:36 - batch_cost: 1.8913 - reader cost: 0.0050 75/125 [=================>............] - ETA: 1:34 - batch_cost: 1.8912 - reader cost: 0.0050 76/125 [=================>............] - ETA: 1:32 - batch_cost: 1.8908 - reader cost: 0.0049 77/125 [=================>............] - ETA: 1:30 - batch_cost: 1.8909 - reader cost: 0.0049 78/125 [=================>............] - ETA: 1:28 - batch_cost: 1.8905 - reader cost: 0.0048 79/125 [=================>............] - ETA: 1:26 - batch_cost: 1.8903 - reader cost: 0.0047 80/125 [==================>...........] - ETA: 1:25 - 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[====================>.........] - ETA: 1:04 - batch_cost: 1.8894 - reader cost: 0.0041 92/125 [=====================>........] - ETA: 1:02 - batch_cost: 1.8892 - reader cost: 0.0041 93/125 [=====================>........] - ETA: 1:00 - batch_cost: 1.8891 - reader cost: 0.0041 94/125 [=====================>........] - ETA: 58s - batch_cost: 1.8889 - reader cost: 0.0040  95/125 [=====================>........] - ETA: 56s - batch_cost: 1.8886 - reader cost: 0.0040 96/125 [======================>.......] - ETA: 54s - batch_cost: 1.8882 - reader cost: 0.0039 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8880 - reader cost: 0.0039 98/125 [======================>.......] - ETA: 50s - batch_cost: 1.8878 - reader cost: 0.0039 99/125 [======================>.......] - ETA: 49s - batch_cost: 1.8876 - reader cost: 0.0038 100/125 [=======================>......] - ETA: 47s - batch_cost: 1.8872 - reader cost: 0.0038 101/125 [=======================>......] - ETA: 45s - 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[=========================>....] - ETA: 24s - batch_cost: 1.8846 - reader cost: 0.0034 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8845 - reader cost: 0.0034 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8847 - reader cost: 0.0033 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8849 - reader cost: 0.0033 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8850 - reader cost: 0.0033 117/125 [===========================>..] - ETA: 15s - batch_cost: 1.8850 - reader cost: 0.0033 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8850 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8850 - reader cost: 0.0032 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8851 - reader cost: 0.0032  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8853 - reader cost: 0.0032 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8854 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8854 - reader cost: 0.0031 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8852 - reader cost: 0.0031 125/125 [==============================] - 236s 2s/step - batch_cost: 1.8851 - reader cost: 0.0031 2021-08-22 07:02:57 [INFO] [EVAL] #Images: 500 mIoU: 0.8124 Acc: 0.9663 Kappa: 0.9563 2021-08-22 07:02:57 [INFO] [EVAL] Class IoU: [0.9844 0.8717 0.9369 0.668 0.6802 0.6814 0.7425 0.814 0.9306 0.6583 0.9565 0.8393 0.6503 0.9552 0.8325 0.8828 0.8474 0.708 0.7958] 2021-08-22 07:02:57 [INFO] [EVAL] Class Acc: [0.9932 0.927 0.9679 0.839 0.8394 0.8408 0.8454 0.9057 0.9565 0.8278 0.9755 0.9015 0.7963 0.9749 0.9324 0.9297 0.9568 0.8256 0.8794] 2021-08-22 07:03:01 [INFO] [EVAL] The model with the best validation mIoU (0.8124) was saved at iter 52000. 2021-08-22 07:03:13 [INFO] [TRAIN] epoch: 140, iter: 52010/160000, loss: 0.0775, lr: 0.000040, batch_cost: 1.1921, reader_cost: 0.00053, ips: 1.6777 samples/sec | ETA 35:45:35 2021-08-22 07:03:25 [INFO] [TRAIN] epoch: 140, iter: 52020/160000, loss: 0.0804, lr: 0.000040, batch_cost: 1.1870, reader_cost: 0.00017, ips: 1.6849 samples/sec | ETA 35:36:14 2021-08-22 07:03:36 [INFO] [TRAIN] epoch: 140, iter: 52030/160000, loss: 0.0755, lr: 0.000040, batch_cost: 1.1853, reader_cost: 0.00017, ips: 1.6873 samples/sec | ETA 35:32:57 2021-08-22 07:03:48 [INFO] [TRAIN] epoch: 140, iter: 52040/160000, loss: 0.0704, lr: 0.000040, batch_cost: 1.1908, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 35:42:41 2021-08-22 07:04:00 [INFO] [TRAIN] epoch: 140, iter: 52050/160000, loss: 0.0690, lr: 0.000040, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 35:46:36 2021-08-22 07:04:12 [INFO] [TRAIN] epoch: 140, iter: 52060/160000, loss: 0.0779, lr: 0.000040, batch_cost: 1.1908, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 35:42:17 2021-08-22 07:04:24 [INFO] [TRAIN] epoch: 140, iter: 52070/160000, loss: 0.0806, lr: 0.000040, batch_cost: 1.1830, reader_cost: 0.00016, ips: 1.6907 samples/sec | ETA 35:27:57 2021-08-22 07:04:36 [INFO] [TRAIN] epoch: 140, iter: 52080/160000, loss: 0.0662, lr: 0.000040, batch_cost: 1.1647, reader_cost: 0.00012, ips: 1.7171 samples/sec | ETA 34:54:59 2021-08-22 07:04:50 [INFO] [TRAIN] epoch: 141, iter: 52090/160000, loss: 0.0751, lr: 0.000040, batch_cost: 1.4111, reader_cost: 0.19842, ips: 1.4173 samples/sec | ETA 42:17:55 2021-08-22 07:05:02 [INFO] [TRAIN] epoch: 141, iter: 52100/160000, loss: 0.0578, lr: 0.000040, batch_cost: 1.1971, reader_cost: 0.00063, ips: 1.6708 samples/sec | ETA 35:52:42 2021-08-22 07:05:14 [INFO] [TRAIN] epoch: 141, iter: 52110/160000, loss: 0.0712, lr: 0.000040, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6817 samples/sec | ETA 35:38:34 2021-08-22 07:05:26 [INFO] [TRAIN] epoch: 141, iter: 52120/160000, loss: 0.0592, lr: 0.000040, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6732 samples/sec | ETA 35:49:13 2021-08-22 07:05:38 [INFO] [TRAIN] epoch: 141, iter: 52130/160000, loss: 0.0687, lr: 0.000040, batch_cost: 1.1983, reader_cost: 0.00016, ips: 1.6691 samples/sec | ETA 35:54:17 2021-08-22 07:05:49 [INFO] [TRAIN] epoch: 141, iter: 52140/160000, loss: 0.0632, lr: 0.000040, batch_cost: 1.1897, reader_cost: 0.00018, ips: 1.6812 samples/sec | ETA 35:38:36 2021-08-22 07:06:01 [INFO] [TRAIN] epoch: 141, iter: 52150/160000, loss: 0.0621, lr: 0.000040, batch_cost: 1.1979, reader_cost: 0.00017, ips: 1.6696 samples/sec | ETA 35:53:15 2021-08-22 07:06:13 [INFO] [TRAIN] epoch: 141, iter: 52160/160000, loss: 0.0705, lr: 0.000040, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 35:42:20 2021-08-22 07:06:25 [INFO] [TRAIN] epoch: 141, iter: 52170/160000, loss: 0.0624, lr: 0.000040, batch_cost: 1.1973, reader_cost: 0.00017, ips: 1.6705 samples/sec | ETA 35:51:42 2021-08-22 07:06:37 [INFO] [TRAIN] epoch: 141, iter: 52180/160000, loss: 0.0700, lr: 0.000040, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6786 samples/sec | ETA 35:41:02 2021-08-22 07:06:49 [INFO] [TRAIN] epoch: 141, iter: 52190/160000, loss: 0.0811, lr: 0.000040, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 35:42:24 2021-08-22 07:07:01 [INFO] [TRAIN] epoch: 141, iter: 52200/160000, loss: 0.0753, lr: 0.000040, batch_cost: 1.1949, reader_cost: 0.00017, ips: 1.6737 samples/sec | ETA 35:46:54 2021-08-22 07:07:13 [INFO] [TRAIN] epoch: 141, iter: 52210/160000, loss: 0.0690, lr: 0.000040, batch_cost: 1.2010, reader_cost: 0.00016, ips: 1.6652 samples/sec | ETA 35:57:40 2021-08-22 07:07:25 [INFO] [TRAIN] epoch: 141, iter: 52220/160000, loss: 0.0743, lr: 0.000040, batch_cost: 1.2109, reader_cost: 0.00017, ips: 1.6517 samples/sec | ETA 36:15:06 2021-08-22 07:07:37 [INFO] [TRAIN] epoch: 141, iter: 52230/160000, loss: 0.0657, lr: 0.000040, batch_cost: 1.1978, reader_cost: 0.00018, ips: 1.6697 samples/sec | ETA 35:51:29 2021-08-22 07:07:49 [INFO] [TRAIN] epoch: 141, iter: 52240/160000, loss: 0.0737, lr: 0.000040, batch_cost: 1.1857, reader_cost: 0.00018, ips: 1.6868 samples/sec | ETA 35:29:30 2021-08-22 07:08:01 [INFO] [TRAIN] epoch: 141, iter: 52250/160000, loss: 0.0852, lr: 0.000040, batch_cost: 1.1921, reader_cost: 0.00018, ips: 1.6777 samples/sec | ETA 35:40:48 2021-08-22 07:08:13 [INFO] [TRAIN] epoch: 141, iter: 52260/160000, loss: 0.0870, lr: 0.000040, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6732 samples/sec | ETA 35:46:19 2021-08-22 07:08:25 [INFO] [TRAIN] epoch: 141, iter: 52270/160000, loss: 0.0746, lr: 0.000040, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6730 samples/sec | ETA 35:46:28 2021-08-22 07:08:37 [INFO] [TRAIN] epoch: 141, iter: 52280/160000, loss: 0.0734, lr: 0.000040, batch_cost: 1.1858, reader_cost: 0.00017, ips: 1.6866 samples/sec | ETA 35:28:56 2021-08-22 07:08:49 [INFO] [TRAIN] epoch: 141, iter: 52290/160000, loss: 0.0670, lr: 0.000040, batch_cost: 1.1895, reader_cost: 0.00017, ips: 1.6814 samples/sec | ETA 35:35:19 2021-08-22 07:09:01 [INFO] [TRAIN] epoch: 141, iter: 52300/160000, loss: 0.0694, lr: 0.000040, batch_cost: 1.1951, reader_cost: 0.00017, ips: 1.6735 samples/sec | ETA 35:45:14 2021-08-22 07:09:12 [INFO] [TRAIN] epoch: 141, iter: 52310/160000, loss: 0.0595, lr: 0.000040, batch_cost: 1.1840, reader_cost: 0.00017, ips: 1.6892 samples/sec | ETA 35:25:01 2021-08-22 07:09:24 [INFO] [TRAIN] epoch: 141, iter: 52320/160000, loss: 0.1012, lr: 0.000040, batch_cost: 1.1826, reader_cost: 0.00017, ips: 1.6912 samples/sec | ETA 35:22:19 2021-08-22 07:09:36 [INFO] [TRAIN] epoch: 141, iter: 52330/160000, loss: 0.0694, lr: 0.000040, batch_cost: 1.1936, reader_cost: 0.00018, ips: 1.6756 samples/sec | ETA 35:41:52 2021-08-22 07:09:48 [INFO] [TRAIN] epoch: 141, iter: 52340/160000, loss: 0.0626, lr: 0.000040, batch_cost: 1.1860, reader_cost: 0.00018, ips: 1.6864 samples/sec | ETA 35:28:01 2021-08-22 07:10:00 [INFO] [TRAIN] epoch: 141, iter: 52350/160000, loss: 0.0742, lr: 0.000040, batch_cost: 1.1912, reader_cost: 0.00018, ips: 1.6790 samples/sec | ETA 35:37:14 2021-08-22 07:10:12 [INFO] [TRAIN] epoch: 141, iter: 52360/160000, loss: 0.0668, lr: 0.000040, batch_cost: 1.1952, reader_cost: 0.00017, ips: 1.6733 samples/sec | ETA 35:44:12 2021-08-22 07:10:24 [INFO] [TRAIN] epoch: 141, iter: 52370/160000, loss: 0.0770, lr: 0.000040, batch_cost: 1.1915, reader_cost: 0.00018, ips: 1.6785 samples/sec | ETA 35:37:22 2021-08-22 07:10:36 [INFO] [TRAIN] epoch: 141, iter: 52380/160000, loss: 0.0753, lr: 0.000040, batch_cost: 1.1880, reader_cost: 0.00018, ips: 1.6835 samples/sec | ETA 35:30:52 2021-08-22 07:10:48 [INFO] [TRAIN] epoch: 141, iter: 52390/160000, loss: 0.0580, lr: 0.000040, batch_cost: 1.1861, reader_cost: 0.00018, ips: 1.6862 samples/sec | ETA 35:27:17 2021-08-22 07:10:59 [INFO] [TRAIN] epoch: 141, iter: 52400/160000, loss: 0.0727, lr: 0.000040, batch_cost: 1.1926, reader_cost: 0.00018, ips: 1.6771 samples/sec | ETA 35:38:40 2021-08-22 07:11:11 [INFO] [TRAIN] epoch: 141, iter: 52410/160000, loss: 0.0771, lr: 0.000040, batch_cost: 1.1946, reader_cost: 0.00017, ips: 1.6742 samples/sec | ETA 35:42:07 2021-08-22 07:11:23 [INFO] [TRAIN] epoch: 141, iter: 52420/160000, loss: 0.0904, lr: 0.000040, batch_cost: 1.1941, reader_cost: 0.00017, ips: 1.6749 samples/sec | ETA 35:41:01 2021-08-22 07:11:35 [INFO] [TRAIN] epoch: 141, iter: 52430/160000, loss: 0.0711, lr: 0.000040, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6839 samples/sec | ETA 35:29:23 2021-08-22 07:11:47 [INFO] [TRAIN] epoch: 141, iter: 52440/160000, loss: 0.0849, lr: 0.000040, batch_cost: 1.1883, reader_cost: 0.00018, ips: 1.6830 samples/sec | ETA 35:30:17 2021-08-22 07:11:59 [INFO] [TRAIN] epoch: 141, iter: 52450/160000, loss: 0.0723, lr: 0.000040, batch_cost: 1.1645, reader_cost: 0.00013, ips: 1.7175 samples/sec | ETA 34:47:18 2021-08-22 07:12:13 [INFO] [TRAIN] epoch: 142, iter: 52460/160000, loss: 0.0674, lr: 0.000040, batch_cost: 1.4006, reader_cost: 0.17034, ips: 1.4279 samples/sec | ETA 41:50:23 2021-08-22 07:12:25 [INFO] [TRAIN] epoch: 142, iter: 52470/160000, loss: 0.0663, lr: 0.000040, batch_cost: 1.1927, reader_cost: 0.00067, ips: 1.6769 samples/sec | ETA 35:37:31 2021-08-22 07:12:37 [INFO] [TRAIN] epoch: 142, iter: 52480/160000, loss: 0.0769, lr: 0.000040, batch_cost: 1.2006, reader_cost: 0.00018, ips: 1.6659 samples/sec | ETA 35:51:26 2021-08-22 07:12:49 [INFO] [TRAIN] epoch: 142, iter: 52490/160000, loss: 0.0685, lr: 0.000040, batch_cost: 1.1960, reader_cost: 0.00016, ips: 1.6723 samples/sec | ETA 35:42:58 2021-08-22 07:13:01 [INFO] [TRAIN] epoch: 142, iter: 52500/160000, loss: 0.0784, lr: 0.000040, batch_cost: 1.1922, reader_cost: 0.00018, ips: 1.6775 samples/sec | ETA 35:36:05 2021-08-22 07:13:12 [INFO] [TRAIN] epoch: 142, iter: 52510/160000, loss: 0.0587, lr: 0.000040, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6839 samples/sec | ETA 35:27:47 2021-08-22 07:13:24 [INFO] [TRAIN] epoch: 142, iter: 52520/160000, loss: 0.0748, lr: 0.000040, batch_cost: 1.2001, reader_cost: 0.00016, ips: 1.6665 samples/sec | ETA 35:49:50 2021-08-22 07:13:36 [INFO] [TRAIN] epoch: 142, iter: 52530/160000, loss: 0.0732, lr: 0.000040, batch_cost: 1.1962, reader_cost: 0.00016, ips: 1.6720 samples/sec | ETA 35:42:31 2021-08-22 07:13:48 [INFO] [TRAIN] epoch: 142, iter: 52540/160000, loss: 0.0595, lr: 0.000040, batch_cost: 1.1969, reader_cost: 0.00016, ips: 1.6710 samples/sec | ETA 35:43:34 2021-08-22 07:14:00 [INFO] [TRAIN] epoch: 142, iter: 52550/160000, loss: 0.0701, lr: 0.000040, batch_cost: 1.1979, reader_cost: 0.00016, ips: 1.6696 samples/sec | ETA 35:45:10 2021-08-22 07:14:12 [INFO] [TRAIN] epoch: 142, iter: 52560/160000, loss: 0.0842, lr: 0.000040, batch_cost: 1.2081, reader_cost: 0.00017, ips: 1.6555 samples/sec | ETA 36:03:20 2021-08-22 07:14:24 [INFO] [TRAIN] epoch: 142, iter: 52570/160000, loss: 0.0724, lr: 0.000040, batch_cost: 1.1985, reader_cost: 0.00017, ips: 1.6687 samples/sec | ETA 35:45:55 2021-08-22 07:14:36 [INFO] [TRAIN] epoch: 142, 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1.1995, reader_cost: 0.00018, ips: 1.6674 samples/sec | ETA 34:54:17 2021-08-22 08:07:55 [INFO] [TRAIN] epoch: 149, iter: 55250/160000, loss: 0.0670, lr: 0.000039, batch_cost: 1.1940, reader_cost: 0.00016, ips: 1.6751 samples/sec | ETA 34:44:27 2021-08-22 08:08:07 [INFO] [TRAIN] epoch: 149, iter: 55260/160000, loss: 0.0686, lr: 0.000039, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6751 samples/sec | ETA 34:44:18 2021-08-22 08:08:19 [INFO] [TRAIN] epoch: 149, iter: 55270/160000, loss: 0.0675, lr: 0.000039, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 34:42:14 2021-08-22 08:08:31 [INFO] [TRAIN] epoch: 149, iter: 55280/160000, loss: 0.0713, lr: 0.000039, batch_cost: 1.1867, reader_cost: 0.00017, ips: 1.6853 samples/sec | ETA 34:31:11 2021-08-22 08:08:43 [INFO] [TRAIN] epoch: 149, iter: 55290/160000, loss: 0.0803, lr: 0.000039, batch_cost: 1.1932, reader_cost: 0.00017, ips: 1.6762 samples/sec | ETA 34:42:15 2021-08-22 08:08:55 [INFO] [TRAIN] epoch: 149, iter: 55300/160000, loss: 0.0785, lr: 0.000039, batch_cost: 1.1898, reader_cost: 0.00016, ips: 1.6809 samples/sec | ETA 34:36:16 2021-08-22 08:09:07 [INFO] [TRAIN] epoch: 149, iter: 55310/160000, loss: 0.0554, lr: 0.000039, batch_cost: 1.1867, reader_cost: 0.00016, ips: 1.6853 samples/sec | ETA 34:30:37 2021-08-22 08:09:19 [INFO] [TRAIN] epoch: 149, iter: 55320/160000, loss: 0.0842, lr: 0.000039, batch_cost: 1.1875, reader_cost: 0.00016, ips: 1.6842 samples/sec | ETA 34:31:49 2021-08-22 08:09:31 [INFO] [TRAIN] epoch: 149, iter: 55330/160000, loss: 0.0789, lr: 0.000039, batch_cost: 1.1834, reader_cost: 0.00017, ips: 1.6900 samples/sec | ETA 34:24:27 2021-08-22 08:09:43 [INFO] [TRAIN] epoch: 149, iter: 55340/160000, loss: 0.0651, lr: 0.000039, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 34:37:36 2021-08-22 08:09:55 [INFO] [TRAIN] epoch: 149, iter: 55350/160000, loss: 0.0520, lr: 0.000039, batch_cost: 1.2026, reader_cost: 0.00019, ips: 1.6631 samples/sec | ETA 34:57:28 2021-08-22 08:10:06 [INFO] [TRAIN] epoch: 149, iter: 55360/160000, loss: 0.0774, lr: 0.000039, batch_cost: 1.1969, reader_cost: 0.00017, ips: 1.6710 samples/sec | ETA 34:47:20 2021-08-22 08:10:18 [INFO] [TRAIN] epoch: 149, iter: 55370/160000, loss: 0.0751, lr: 0.000039, batch_cost: 1.1929, reader_cost: 0.00018, ips: 1.6766 samples/sec | ETA 34:40:15 2021-08-22 08:10:30 [INFO] [TRAIN] epoch: 149, iter: 55380/160000, loss: 0.0793, lr: 0.000039, batch_cost: 1.1895, reader_cost: 0.00017, ips: 1.6814 samples/sec | ETA 34:34:05 2021-08-22 08:10:42 [INFO] [TRAIN] epoch: 149, iter: 55390/160000, loss: 0.0637, lr: 0.000039, batch_cost: 1.1972, reader_cost: 0.00017, ips: 1.6706 samples/sec | ETA 34:47:17 2021-08-22 08:10:54 [INFO] [TRAIN] epoch: 149, iter: 55400/160000, loss: 0.0820, lr: 0.000039, batch_cost: 1.1895, reader_cost: 0.00016, ips: 1.6813 samples/sec | ETA 34:33:46 2021-08-22 08:11:06 [INFO] [TRAIN] epoch: 149, iter: 55410/160000, loss: 0.0541, lr: 0.000039, batch_cost: 1.1949, reader_cost: 0.00018, ips: 1.6738 samples/sec | ETA 34:42:51 2021-08-22 08:11:18 [INFO] [TRAIN] epoch: 149, iter: 55420/160000, loss: 0.1086, lr: 0.000039, batch_cost: 1.1843, reader_cost: 0.00016, ips: 1.6888 samples/sec | ETA 34:24:11 2021-08-22 08:11:32 [INFO] [TRAIN] epoch: 150, iter: 55430/160000, loss: 0.0766, lr: 0.000039, batch_cost: 1.3885, reader_cost: 0.17059, ips: 1.4404 samples/sec | ETA 40:19:59 2021-08-22 08:11:44 [INFO] [TRAIN] epoch: 150, iter: 55440/160000, loss: 0.0632, lr: 0.000039, batch_cost: 1.1883, reader_cost: 0.00067, ips: 1.6830 samples/sec | ETA 34:30:52 2021-08-22 08:11:56 [INFO] [TRAIN] epoch: 150, iter: 55450/160000, loss: 0.0586, lr: 0.000039, batch_cost: 1.1894, reader_cost: 0.00018, ips: 1.6816 samples/sec | ETA 34:32:28 2021-08-22 08:12:08 [INFO] [TRAIN] epoch: 150, iter: 55460/160000, loss: 0.0698, lr: 0.000039, batch_cost: 1.1946, reader_cost: 0.00019, ips: 1.6743 samples/sec | ETA 34:41:18 2021-08-22 08:12:19 [INFO] [TRAIN] epoch: 150, iter: 55470/160000, loss: 0.0660, lr: 0.000039, batch_cost: 1.1874, reader_cost: 0.00017, ips: 1.6844 samples/sec | ETA 34:28:37 2021-08-22 08:12:31 [INFO] [TRAIN] epoch: 150, iter: 55480/160000, loss: 0.0656, lr: 0.000039, batch_cost: 1.1853, reader_cost: 0.00016, ips: 1.6873 samples/sec | ETA 34:24:47 2021-08-22 08:12:43 [INFO] [TRAIN] epoch: 150, iter: 55490/160000, loss: 0.0671, lr: 0.000039, batch_cost: 1.1900, reader_cost: 0.00016, ips: 1.6807 samples/sec | ETA 34:32:43 2021-08-22 08:12:55 [INFO] [TRAIN] epoch: 150, iter: 55500/160000, loss: 0.0805, lr: 0.000039, batch_cost: 1.1946, reader_cost: 0.00016, ips: 1.6742 samples/sec | ETA 34:40:36 2021-08-22 08:13:07 [INFO] [TRAIN] epoch: 150, iter: 55510/160000, loss: 0.0755, lr: 0.000039, batch_cost: 1.1926, reader_cost: 0.00017, ips: 1.6770 samples/sec | ETA 34:36:55 2021-08-22 08:13:19 [INFO] [TRAIN] epoch: 150, iter: 55520/160000, loss: 0.0590, lr: 0.000039, batch_cost: 1.1892, reader_cost: 0.00018, ips: 1.6818 samples/sec | ETA 34:30:49 2021-08-22 08:13:31 [INFO] [TRAIN] epoch: 150, iter: 55530/160000, loss: 0.0709, lr: 0.000039, batch_cost: 1.1970, reader_cost: 0.00017, ips: 1.6708 samples/sec | ETA 34:44:11 2021-08-22 08:13:43 [INFO] [TRAIN] epoch: 150, iter: 55540/160000, loss: 0.0632, lr: 0.000039, batch_cost: 1.1866, reader_cost: 0.00018, ips: 1.6854 samples/sec | ETA 34:25:56 2021-08-22 08:13:55 [INFO] [TRAIN] epoch: 150, iter: 55550/160000, loss: 0.0597, lr: 0.000039, batch_cost: 1.1862, reader_cost: 0.00017, ips: 1.6861 samples/sec | ETA 34:24:57 2021-08-22 08:14:07 [INFO] [TRAIN] epoch: 150, iter: 55560/160000, loss: 0.0600, lr: 0.000039, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6767 samples/sec | ETA 34:36:15 2021-08-22 08:14:19 [INFO] [TRAIN] epoch: 150, iter: 55570/160000, loss: 0.0686, lr: 0.000039, batch_cost: 1.1929, reader_cost: 0.00018, ips: 1.6766 samples/sec | ETA 34:36:11 2021-08-22 08:14:30 [INFO] [TRAIN] epoch: 150, iter: 55580/160000, loss: 0.0847, lr: 0.000039, batch_cost: 1.1846, reader_cost: 0.00017, ips: 1.6883 samples/sec | ETA 34:21:40 2021-08-22 08:14:42 [INFO] [TRAIN] epoch: 150, iter: 55590/160000, loss: 0.0600, lr: 0.000039, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6798 samples/sec | ETA 34:31:49 2021-08-22 08:14:54 [INFO] [TRAIN] epoch: 150, iter: 55600/160000, loss: 0.0677, lr: 0.000039, batch_cost: 1.1863, reader_cost: 0.00017, ips: 1.6859 samples/sec | ETA 34:24:09 2021-08-22 08:15:06 [INFO] [TRAIN] epoch: 150, iter: 55610/160000, loss: 0.0660, lr: 0.000039, batch_cost: 1.1853, reader_cost: 0.00017, ips: 1.6874 samples/sec | ETA 34:22:11 2021-08-22 08:15:18 [INFO] [TRAIN] epoch: 150, iter: 55620/160000, loss: 0.0611, lr: 0.000039, batch_cost: 1.1815, reader_cost: 0.00017, ips: 1.6928 samples/sec | ETA 34:15:20 2021-08-22 08:15:30 [INFO] [TRAIN] epoch: 150, iter: 55630/160000, loss: 0.0758, lr: 0.000039, batch_cost: 1.1989, reader_cost: 0.00018, ips: 1.6682 samples/sec | ETA 34:45:31 2021-08-22 08:15:42 [INFO] [TRAIN] epoch: 150, iter: 55640/160000, loss: 0.0787, lr: 0.000039, batch_cost: 1.1954, reader_cost: 0.00016, ips: 1.6730 samples/sec | ETA 34:39:16 2021-08-22 08:15:54 [INFO] [TRAIN] epoch: 150, iter: 55650/160000, loss: 0.0656, lr: 0.000039, batch_cost: 1.1849, reader_cost: 0.00018, ips: 1.6879 samples/sec | ETA 34:20:43 2021-08-22 08:16:06 [INFO] [TRAIN] epoch: 150, iter: 55660/160000, loss: 0.0742, lr: 0.000039, batch_cost: 1.1906, reader_cost: 0.00018, ips: 1.6799 samples/sec | ETA 34:30:23 2021-08-22 08:16:17 [INFO] [TRAIN] epoch: 150, iter: 55670/160000, loss: 0.0667, lr: 0.000039, batch_cost: 1.1949, reader_cost: 0.00017, ips: 1.6738 samples/sec | ETA 34:37:44 2021-08-22 08:16:29 [INFO] [TRAIN] epoch: 150, iter: 55680/160000, loss: 0.0695, lr: 0.000039, batch_cost: 1.1870, reader_cost: 0.00017, ips: 1.6850 samples/sec | ETA 34:23:43 2021-08-22 08:16:41 [INFO] [TRAIN] epoch: 150, iter: 55690/160000, loss: 0.0677, lr: 0.000039, batch_cost: 1.1918, reader_cost: 0.00016, ips: 1.6782 samples/sec | ETA 34:31:51 2021-08-22 08:16:53 [INFO] [TRAIN] epoch: 150, iter: 55700/160000, loss: 0.0655, lr: 0.000039, batch_cost: 1.1854, reader_cost: 0.00017, ips: 1.6872 samples/sec | ETA 34:20:33 2021-08-22 08:17:05 [INFO] [TRAIN] epoch: 150, iter: 55710/160000, loss: 0.0695, lr: 0.000039, batch_cost: 1.1781, reader_cost: 0.00017, ips: 1.6976 samples/sec | ETA 34:07:46 2021-08-22 08:17:17 [INFO] [TRAIN] epoch: 150, iter: 55720/160000, loss: 0.0802, lr: 0.000039, batch_cost: 1.1935, reader_cost: 0.00017, ips: 1.6758 samples/sec | ETA 34:34:15 2021-08-22 08:17:29 [INFO] [TRAIN] epoch: 150, iter: 55730/160000, loss: 0.0793, lr: 0.000039, batch_cost: 1.2005, reader_cost: 0.00018, ips: 1.6660 samples/sec | ETA 34:46:13 2021-08-22 08:17:41 [INFO] [TRAIN] epoch: 150, iter: 55740/160000, loss: 0.0643, lr: 0.000039, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6784 samples/sec | ETA 34:30:35 2021-08-22 08:17:53 [INFO] [TRAIN] epoch: 150, iter: 55750/160000, loss: 0.0805, lr: 0.000039, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6839 samples/sec | ETA 34:23:39 2021-08-22 08:18:05 [INFO] [TRAIN] epoch: 150, iter: 55760/160000, loss: 0.0697, lr: 0.000039, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6798 samples/sec | ETA 34:28:30 2021-08-22 08:18:17 [INFO] [TRAIN] epoch: 150, iter: 55770/160000, loss: 0.0644, lr: 0.000039, batch_cost: 1.1990, reader_cost: 0.00017, ips: 1.6681 samples/sec | ETA 34:42:47 2021-08-22 08:18:28 [INFO] [TRAIN] epoch: 150, iter: 55780/160000, loss: 0.0593, lr: 0.000039, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 34:28:43 2021-08-22 08:18:40 [INFO] [TRAIN] epoch: 150, iter: 55790/160000, loss: 0.0668, lr: 0.000039, batch_cost: 1.1864, reader_cost: 0.00016, ips: 1.6857 samples/sec | ETA 34:20:37 2021-08-22 08:18:52 [INFO] [TRAIN] epoch: 150, iter: 55800/160000, loss: 0.0575, lr: 0.000039, batch_cost: 1.1652, reader_cost: 0.00012, ips: 1.7164 samples/sec | ETA 33:43:34 2021-08-22 08:19:06 [INFO] [TRAIN] epoch: 151, iter: 55810/160000, loss: 0.0529, lr: 0.000039, batch_cost: 1.3900, reader_cost: 0.15587, ips: 1.4388 samples/sec | ETA 40:13:48 2021-08-22 08:19:18 [INFO] [TRAIN] epoch: 151, iter: 55820/160000, loss: 0.0598, lr: 0.000039, batch_cost: 1.1876, reader_cost: 0.00065, ips: 1.6840 samples/sec | ETA 34:22:06 2021-08-22 08:19:30 [INFO] [TRAIN] epoch: 151, iter: 55830/160000, loss: 0.0550, lr: 0.000039, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6736 samples/sec | ETA 34:34:46 2021-08-22 08:19:42 [INFO] [TRAIN] epoch: 151, iter: 55840/160000, loss: 0.0725, lr: 0.000039, batch_cost: 1.1848, reader_cost: 0.00017, ips: 1.6880 samples/sec | ETA 34:16:53 2021-08-22 08:19:53 [INFO] [TRAIN] epoch: 151, iter: 55850/160000, loss: 0.0757, lr: 0.000039, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6744 samples/sec | ETA 34:33:19 2021-08-22 08:20:05 [INFO] [TRAIN] epoch: 151, iter: 55860/160000, loss: 0.0771, lr: 0.000039, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 34:22:15 2021-08-22 08:20:17 [INFO] [TRAIN] epoch: 151, iter: 55870/160000, loss: 0.0713, lr: 0.000039, batch_cost: 1.1814, reader_cost: 0.00017, ips: 1.6929 samples/sec | ETA 34:10:21 2021-08-22 08:20:29 [INFO] [TRAIN] epoch: 151, iter: 55880/160000, loss: 0.0904, lr: 0.000039, batch_cost: 1.1948, reader_cost: 0.00018, ips: 1.6739 samples/sec | ETA 34:33:26 2021-08-22 08:20:41 [INFO] [TRAIN] epoch: 151, iter: 55890/160000, loss: 0.0730, lr: 0.000039, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6829 samples/sec | ETA 34:22:06 2021-08-22 08:20:53 [INFO] [TRAIN] epoch: 151, iter: 55900/160000, loss: 0.0605, lr: 0.000039, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6745 samples/sec | ETA 34:32:12 2021-08-22 08:21:05 [INFO] [TRAIN] epoch: 151, iter: 55910/160000, loss: 0.0665, lr: 0.000039, batch_cost: 1.1853, reader_cost: 0.00017, ips: 1.6874 samples/sec | ETA 34:16:16 2021-08-22 08:21:17 [INFO] [TRAIN] epoch: 151, iter: 55920/160000, loss: 0.0669, lr: 0.000039, batch_cost: 1.1979, reader_cost: 0.00018, ips: 1.6695 samples/sec | ETA 34:38:00 2021-08-22 08:21:29 [INFO] [TRAIN] epoch: 151, iter: 55930/160000, loss: 0.0587, lr: 0.000039, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6714 samples/sec | ETA 34:35:27 2021-08-22 08:21:41 [INFO] [TRAIN] epoch: 151, iter: 55940/160000, loss: 0.0580, lr: 0.000039, batch_cost: 1.1900, reader_cost: 0.00018, ips: 1.6807 samples/sec | ETA 34:23:50 2021-08-22 08:21:53 [INFO] [TRAIN] epoch: 151, iter: 55950/160000, loss: 0.0670, lr: 0.000039, batch_cost: 1.1877, reader_cost: 0.00019, ips: 1.6840 samples/sec | ETA 34:19:37 2021-08-22 08:22:05 [INFO] [TRAIN] epoch: 151, iter: 55960/160000, loss: 0.0730, lr: 0.000039, batch_cost: 1.1972, reader_cost: 0.00018, ips: 1.6705 samples/sec | ETA 34:36:00 2021-08-22 08:22:16 [INFO] [TRAIN] epoch: 151, iter: 55970/160000, loss: 0.0786, lr: 0.000039, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 34:19:05 2021-08-22 08:22:28 [INFO] [TRAIN] epoch: 151, iter: 55980/160000, loss: 0.0737, lr: 0.000039, batch_cost: 1.2001, reader_cost: 0.00017, ips: 1.6665 samples/sec | ETA 34:40:36 2021-08-22 08:22:41 [INFO] [TRAIN] epoch: 151, iter: 55990/160000, loss: 0.0713, lr: 0.000039, batch_cost: 1.2121, reader_cost: 0.00020, ips: 1.6500 samples/sec | ETA 35:01:13 2021-08-22 08:22:53 [INFO] [TRAIN] epoch: 151, iter: 56000/160000, loss: 0.0614, lr: 0.000039, batch_cost: 1.2007, reader_cost: 0.00018, ips: 1.6657 samples/sec | ETA 34:41:13 2021-08-22 08:22:53 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:51 - batch_cost: 2.3538 - reader cost: 0.3724 2/125 [..............................] - ETA: 4:20 - batch_cost: 2.1159 - reader cost: 0.1863 3/125 [..............................] - ETA: 4:08 - batch_cost: 2.0351 - reader cost: 0.1243 4/125 [..............................] - ETA: 4:01 - batch_cost: 1.9945 - reader cost: 0.0933 5/125 [>.............................] - ETA: 3:56 - batch_cost: 1.9693 - reader cost: 0.0746 6/125 [>.............................] - ETA: 3:52 - batch_cost: 1.9536 - reader cost: 0.0622 7/125 [>.............................] - ETA: 3:49 - batch_cost: 1.9407 - reader cost: 0.0534 8/125 [>.............................] - ETA: 3:45 - batch_cost: 1.9306 - reader cost: 0.0467 9/125 [=>............................] - ETA: 3:43 - batch_cost: 1.9222 - reader cost: 0.0416 10/125 [=>............................] - ETA: 3:40 - batch_cost: 1.9167 - reader cost: 0.0374 11/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9135 - reader cost: 0.0340 12/125 [=>............................] - ETA: 3:35 - batch_cost: 1.9110 - reader cost: 0.0312 13/125 [==>...........................] - ETA: 3:33 - batch_cost: 1.9070 - reader cost: 0.0288 14/125 [==>...........................] - ETA: 3:31 - batch_cost: 1.9038 - reader cost: 0.0268 15/125 [==>...........................] - ETA: 3:29 - batch_cost: 1.9007 - reader cost: 0.0250 16/125 [==>...........................] - ETA: 3:26 - batch_cost: 1.8980 - reader cost: 0.0235 17/125 [===>..........................] - ETA: 3:24 - batch_cost: 1.8963 - reader cost: 0.0221 18/125 [===>..........................] - ETA: 3:22 - batch_cost: 1.8952 - reader cost: 0.0209 19/125 [===>..........................] - ETA: 3:20 - batch_cost: 1.8932 - reader cost: 0.0198 20/125 [===>..........................] - ETA: 3:18 - batch_cost: 1.8917 - reader cost: 0.0188 21/125 [====>.........................] - ETA: 3:16 - batch_cost: 1.8899 - reader cost: 0.0179 22/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.8888 - reader cost: 0.0171 23/125 [====>.........................] - ETA: 3:12 - batch_cost: 1.8880 - reader cost: 0.0164 24/125 [====>.........................] - ETA: 3:10 - batch_cost: 1.8858 - reader cost: 0.0157 25/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.8842 - reader cost: 0.0151 26/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.8828 - reader cost: 0.0145 27/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.8817 - reader cost: 0.0140 28/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8799 - reader cost: 0.0135 29/125 [=====>........................] - ETA: 3:00 - batch_cost: 1.8801 - reader cost: 0.0130 30/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8783 - reader cost: 0.0126 31/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8777 - reader cost: 0.0122 32/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8761 - reader cost: 0.0118 33/125 [======>.......................] - ETA: 2:52 - batch_cost: 1.8755 - reader cost: 0.0115 34/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8748 - reader cost: 0.0111 35/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8743 - reader cost: 0.0108 36/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8736 - reader cost: 0.0105 37/125 [=======>......................] - ETA: 2:44 - batch_cost: 1.8728 - reader cost: 0.0102 38/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8722 - reader cost: 0.0100 39/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8716 - reader cost: 0.0097 40/125 [========>.....................] - ETA: 2:39 - batch_cost: 1.8705 - reader cost: 0.0095 41/125 [========>.....................] - ETA: 2:37 - batch_cost: 1.8699 - reader cost: 0.0093 42/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.8692 - reader cost: 0.0090 43/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.8688 - reader cost: 0.0088 44/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8682 - reader cost: 0.0086 45/125 [=========>....................] - ETA: 2:29 - batch_cost: 1.8676 - reader cost: 0.0085 46/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8670 - reader cost: 0.0083 47/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8662 - reader cost: 0.0081 48/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8660 - reader cost: 0.0079 49/125 [==========>...................] - ETA: 2:21 - batch_cost: 1.8658 - reader cost: 0.0078 50/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.8652 - reader cost: 0.0076 51/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.8643 - reader cost: 0.0075 52/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8635 - reader cost: 0.0073 53/125 [===========>..................] - ETA: 2:14 - batch_cost: 1.8624 - reader cost: 0.0072 54/125 [===========>..................] - ETA: 2:12 - batch_cost: 1.8613 - reader cost: 0.0071 55/125 [============>.................] - ETA: 2:10 - batch_cost: 1.8611 - reader cost: 0.0070 56/125 [============>.................] - ETA: 2:08 - batch_cost: 1.8602 - reader cost: 0.0068 57/125 [============>.................] - ETA: 2:06 - batch_cost: 1.8597 - reader cost: 0.0067 58/125 [============>.................] - ETA: 2:04 - batch_cost: 1.8589 - reader cost: 0.0066 59/125 [=============>................] - ETA: 2:02 - batch_cost: 1.8580 - reader cost: 0.0065 60/125 [=============>................] - ETA: 2:00 - batch_cost: 1.8575 - reader cost: 0.0064 61/125 [=============>................] - ETA: 1:58 - batch_cost: 1.8570 - reader cost: 0.0063 62/125 [=============>................] - ETA: 1:56 - batch_cost: 1.8564 - reader cost: 0.0062 63/125 [==============>...............] - ETA: 1:55 - batch_cost: 1.8565 - reader cost: 0.0061 64/125 [==============>...............] - ETA: 1:53 - batch_cost: 1.8559 - reader cost: 0.0060 65/125 [==============>...............] - ETA: 1:51 - batch_cost: 1.8555 - reader cost: 0.0059 66/125 [==============>...............] - ETA: 1:49 - batch_cost: 1.8549 - reader cost: 0.0058 67/125 [===============>..............] - ETA: 1:47 - batch_cost: 1.8545 - reader cost: 0.0057 68/125 [===============>..............] - ETA: 1:45 - 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[=================>............] - ETA: 1:25 - batch_cost: 1.8491 - reader cost: 0.0049 80/125 [==================>...........] - ETA: 1:23 - batch_cost: 1.8487 - reader cost: 0.0048 81/125 [==================>...........] - ETA: 1:21 - batch_cost: 1.8483 - reader cost: 0.0048 82/125 [==================>...........] - ETA: 1:19 - batch_cost: 1.8476 - reader cost: 0.0047 83/125 [==================>...........] - ETA: 1:17 - batch_cost: 1.8472 - reader cost: 0.0047 84/125 [===================>..........] - ETA: 1:15 - batch_cost: 1.8469 - reader cost: 0.0046 85/125 [===================>..........] - ETA: 1:13 - batch_cost: 1.8465 - reader cost: 0.0046 86/125 [===================>..........] - ETA: 1:12 - batch_cost: 1.8463 - reader cost: 0.0045 87/125 [===================>..........] - ETA: 1:10 - batch_cost: 1.8458 - reader cost: 0.0045 88/125 [====================>.........] - ETA: 1:08 - batch_cost: 1.8456 - reader cost: 0.0044 89/125 [====================>.........] - ETA: 1:06 - 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[=======================>......] - ETA: 46s - batch_cost: 1.8456 - reader cost: 0.0039 101/125 [=======================>......] - ETA: 44s - batch_cost: 1.8455 - reader cost: 0.0039 102/125 [=======================>......] - ETA: 42s - batch_cost: 1.8452 - reader cost: 0.0038 103/125 [=======================>......] - ETA: 40s - batch_cost: 1.8449 - reader cost: 0.0038 104/125 [=======================>......] - ETA: 38s - batch_cost: 1.8446 - reader cost: 0.0038 105/125 [========================>.....] - ETA: 36s - batch_cost: 1.8442 - reader cost: 0.0037 106/125 [========================>.....] - ETA: 35s - batch_cost: 1.8440 - reader cost: 0.0037 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8437 - reader cost: 0.0037 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8434 - reader cost: 0.0036 109/125 [=========================>....] - ETA: 29s - batch_cost: 1.8432 - reader cost: 0.0036 110/125 [=========================>....] - ETA: 27s - batch_cost: 1.8430 - reader cost: 0.0036 111/125 [=========================>....] - ETA: 25s - batch_cost: 1.8428 - reader cost: 0.0035 112/125 [=========================>....] - ETA: 23s - batch_cost: 1.8425 - reader cost: 0.0035 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8423 - reader cost: 0.0035 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8420 - reader cost: 0.0034 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8418 - reader cost: 0.0034 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8417 - reader cost: 0.0034 117/125 [===========================>..] - ETA: 14s - batch_cost: 1.8415 - reader cost: 0.0034 118/125 [===========================>..] - ETA: 12s - batch_cost: 1.8413 - reader cost: 0.0033 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8411 - reader cost: 0.0033 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8409 - reader cost: 0.0033  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8409 - reader cost: 0.0033 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8406 - reader cost: 0.0032 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8404 - reader cost: 0.0032 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8399 - reader cost: 0.0032 125/125 [==============================] - 230s 2s/step - batch_cost: 1.8394 - reader cost: 0.0032 2021-08-22 08:26:43 [INFO] [EVAL] #Images: 500 mIoU: 0.8130 Acc: 0.9665 Kappa: 0.9565 2021-08-22 08:26:43 [INFO] [EVAL] Class IoU: [0.9849 0.8791 0.9363 0.638 0.6553 0.6874 0.7448 0.8175 0.9303 0.6658 0.9561 0.8406 0.6513 0.957 0.8302 0.8985 0.8597 0.7203 0.7948] 2021-08-22 08:26:43 [INFO] [EVAL] Class Acc: [0.9927 0.9337 0.966 0.8047 0.8646 0.838 0.8698 0.9101 0.9594 0.8201 0.9709 0.9029 0.7867 0.9748 0.9265 0.9479 0.9532 0.8586 0.8833] 2021-08-22 08:26:46 [INFO] [EVAL] The model with the best validation mIoU (0.8130) was saved at iter 56000. 2021-08-22 08:26:58 [INFO] [TRAIN] epoch: 151, iter: 56010/160000, loss: 0.0780, lr: 0.000039, batch_cost: 1.2135, reader_cost: 0.00060, ips: 1.6481 samples/sec | ETA 35:03:12 2021-08-22 08:27:10 [INFO] [TRAIN] epoch: 151, iter: 56020/160000, loss: 0.0746, lr: 0.000039, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 34:27:18 2021-08-22 08:27:22 [INFO] [TRAIN] epoch: 151, iter: 56030/160000, loss: 0.0695, lr: 0.000039, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 34:27:27 2021-08-22 08:27:34 [INFO] [TRAIN] epoch: 151, iter: 56040/160000, loss: 0.0807, lr: 0.000039, batch_cost: 1.1858, reader_cost: 0.00017, ips: 1.6867 samples/sec | ETA 34:14:32 2021-08-22 08:27:46 [INFO] [TRAIN] epoch: 151, iter: 56050/160000, loss: 0.0748, lr: 0.000039, batch_cost: 1.1869, reader_cost: 0.00017, ips: 1.6851 samples/sec | ETA 34:16:19 2021-08-22 08:27:58 [INFO] [TRAIN] epoch: 151, iter: 56060/160000, loss: 0.0642, lr: 0.000039, batch_cost: 1.1912, reader_cost: 0.00016, ips: 1.6789 samples/sec | ETA 34:23:37 2021-08-22 08:28:10 [INFO] [TRAIN] epoch: 151, iter: 56070/160000, loss: 0.0630, lr: 0.000039, batch_cost: 1.2005, reader_cost: 0.00017, ips: 1.6660 samples/sec | ETA 34:39:24 2021-08-22 08:28:22 [INFO] [TRAIN] epoch: 151, iter: 56080/160000, loss: 0.0812, lr: 0.000039, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6751 samples/sec | ETA 34:27:52 2021-08-22 08:28:33 [INFO] [TRAIN] epoch: 151, iter: 56090/160000, loss: 0.0773, lr: 0.000039, batch_cost: 1.1936, reader_cost: 0.00017, ips: 1.6757 samples/sec | ETA 34:27:02 2021-08-22 08:28:45 [INFO] [TRAIN] epoch: 151, iter: 56100/160000, loss: 0.0642, lr: 0.000039, batch_cost: 1.1961, reader_cost: 0.00017, ips: 1.6722 samples/sec | ETA 34:31:10 2021-08-22 08:28:57 [INFO] [TRAIN] epoch: 151, iter: 56110/160000, loss: 0.0650, lr: 0.000039, batch_cost: 1.1958, reader_cost: 0.00017, ips: 1.6725 samples/sec | ETA 34:30:33 2021-08-22 08:29:09 [INFO] [TRAIN] epoch: 151, iter: 56120/160000, loss: 0.0606, lr: 0.000039, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 34:22:54 2021-08-22 08:29:21 [INFO] [TRAIN] epoch: 151, iter: 56130/160000, loss: 0.0717, lr: 0.000039, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 34:28:22 2021-08-22 08:29:33 [INFO] [TRAIN] epoch: 151, iter: 56140/160000, loss: 0.0826, lr: 0.000039, batch_cost: 1.1883, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 34:17:00 2021-08-22 08:29:45 [INFO] [TRAIN] epoch: 151, iter: 56150/160000, loss: 0.0790, lr: 0.000039, batch_cost: 1.1970, reader_cost: 0.00017, ips: 1.6709 samples/sec | ETA 34:31:45 2021-08-22 08:29:57 [INFO] [TRAIN] epoch: 151, iter: 56160/160000, loss: 0.0728, lr: 0.000039, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6714 samples/sec | ETA 34:30:56 2021-08-22 08:30:09 [INFO] [TRAIN] epoch: 151, iter: 56170/160000, loss: 0.0728, lr: 0.000039, batch_cost: 1.1649, reader_cost: 0.00012, ips: 1.7168 samples/sec | ETA 33:35:55 2021-08-22 08:30:23 [INFO] [TRAIN] epoch: 152, iter: 56180/160000, loss: 0.0593, lr: 0.000039, batch_cost: 1.3794, reader_cost: 0.15452, ips: 1.4499 samples/sec | ETA 39:46:46 2021-08-22 08:30:34 [INFO] [TRAIN] epoch: 152, iter: 56190/160000, loss: 0.0714, lr: 0.000039, batch_cost: 1.1955, reader_cost: 0.00063, ips: 1.6729 samples/sec | ETA 34:28:29 2021-08-22 08:30:46 [INFO] [TRAIN] epoch: 152, iter: 56200/160000, loss: 0.0705, lr: 0.000039, batch_cost: 1.1908, reader_cost: 0.00017, ips: 1.6796 samples/sec | ETA 34:20:00 2021-08-22 08:30:58 [INFO] [TRAIN] epoch: 152, iter: 56210/160000, loss: 0.0629, lr: 0.000039, batch_cost: 1.1983, reader_cost: 0.00017, ips: 1.6690 samples/sec | ETA 34:32:53 2021-08-22 08:31:10 [INFO] [TRAIN] epoch: 152, iter: 56220/160000, loss: 0.0711, lr: 0.000039, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6802 samples/sec | ETA 34:18:55 2021-08-22 08:31:22 [INFO] [TRAIN] epoch: 152, iter: 56230/160000, loss: 0.0566, lr: 0.000039, batch_cost: 1.1912, reader_cost: 0.00016, ips: 1.6790 samples/sec | ETA 34:20:10 2021-08-22 08:31:34 [INFO] [TRAIN] epoch: 152, iter: 56240/160000, loss: 0.0681, lr: 0.000039, batch_cost: 1.1868, reader_cost: 0.00017, ips: 1.6853 samples/sec | ETA 34:12:17 2021-08-22 08:31:46 [INFO] [TRAIN] epoch: 152, iter: 56250/160000, loss: 0.0652, lr: 0.000039, batch_cost: 1.1859, reader_cost: 0.00017, ips: 1.6864 samples/sec | ETA 34:10:40 2021-08-22 08:31:58 [INFO] [TRAIN] epoch: 152, iter: 56260/160000, loss: 0.0735, lr: 0.000039, batch_cost: 1.1895, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 34:16:43 2021-08-22 08:32:10 [INFO] [TRAIN] epoch: 152, iter: 56270/160000, loss: 0.0609, lr: 0.000039, batch_cost: 1.1948, reader_cost: 0.00018, ips: 1.6739 samples/sec | ETA 34:25:39 2021-08-22 08:32:22 [INFO] [TRAIN] epoch: 152, iter: 56280/160000, loss: 0.0792, lr: 0.000039, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6745 samples/sec | ETA 34:24:43 2021-08-22 08:32:34 [INFO] [TRAIN] epoch: 152, iter: 56290/160000, loss: 0.0743, lr: 0.000039, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6778 samples/sec | ETA 34:20:26 2021-08-22 08:32:46 [INFO] [TRAIN] epoch: 152, iter: 56300/160000, loss: 0.0686, lr: 0.000039, batch_cost: 1.2037, reader_cost: 0.00017, ips: 1.6615 samples/sec | ETA 34:40:24 2021-08-22 08:32:58 [INFO] [TRAIN] epoch: 152, iter: 56310/160000, loss: 0.0573, lr: 0.000039, batch_cost: 1.2043, reader_cost: 0.00017, ips: 1.6607 samples/sec | ETA 34:41:16 2021-08-22 08:33:10 [INFO] [TRAIN] epoch: 152, iter: 56320/160000, loss: 0.0838, lr: 0.000039, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6767 samples/sec | ETA 34:21:09 2021-08-22 08:33:22 [INFO] [TRAIN] epoch: 152, iter: 56330/160000, loss: 0.0625, lr: 0.000039, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 34:20:14 2021-08-22 08:33:33 [INFO] [TRAIN] epoch: 152, iter: 56340/160000, loss: 0.0765, lr: 0.000039, batch_cost: 1.1886, reader_cost: 0.00017, ips: 1.6826 samples/sec | ETA 34:13:31 2021-08-22 08:33:45 [INFO] [TRAIN] epoch: 152, iter: 56350/160000, loss: 0.0627, lr: 0.000039, batch_cost: 1.1962, reader_cost: 0.00017, ips: 1.6719 samples/sec | ETA 34:26:30 2021-08-22 08:33:57 [INFO] [TRAIN] epoch: 152, iter: 56360/160000, loss: 0.0621, lr: 0.000039, batch_cost: 1.1845, reader_cost: 0.00017, ips: 1.6885 samples/sec | ETA 34:06:02 2021-08-22 08:34:09 [INFO] [TRAIN] epoch: 152, iter: 56370/160000, loss: 0.0666, lr: 0.000039, batch_cost: 1.1974, reader_cost: 0.00016, ips: 1.6703 samples/sec | ETA 34:28:05 2021-08-22 08:34:21 [INFO] [TRAIN] epoch: 152, iter: 56380/160000, loss: 0.0537, lr: 0.000039, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6781 samples/sec | ETA 34:18:17 2021-08-22 08:34:33 [INFO] [TRAIN] epoch: 152, iter: 56390/160000, loss: 0.0800, lr: 0.000039, batch_cost: 1.1967, reader_cost: 0.00016, ips: 1.6713 samples/sec | ETA 34:26:25 2021-08-22 08:34:45 [INFO] [TRAIN] epoch: 152, iter: 56400/160000, loss: 0.0625, lr: 0.000039, batch_cost: 1.1883, reader_cost: 0.00018, ips: 1.6831 samples/sec | ETA 34:11:48 2021-08-22 08:34:57 [INFO] [TRAIN] epoch: 152, iter: 56410/160000, loss: 0.0613, lr: 0.000039, batch_cost: 1.2033, reader_cost: 0.00017, ips: 1.6621 samples/sec | ETA 34:37:31 2021-08-22 08:35:09 [INFO] [TRAIN] epoch: 152, iter: 56420/160000, loss: 0.0619, lr: 0.000039, batch_cost: 1.1941, reader_cost: 0.00017, ips: 1.6750 samples/sec | ETA 34:21:20 2021-08-22 08:35:21 [INFO] [TRAIN] epoch: 152, iter: 56430/160000, loss: 0.0857, lr: 0.000039, batch_cost: 1.1917, reader_cost: 0.00017, ips: 1.6782 samples/sec | ETA 34:17:09 2021-08-22 08:35:33 [INFO] [TRAIN] epoch: 152, iter: 56440/160000, loss: 0.0595, lr: 0.000039, batch_cost: 1.1853, reader_cost: 0.00017, ips: 1.6874 samples/sec | ETA 34:05:45 2021-08-22 08:35:45 [INFO] [TRAIN] epoch: 152, iter: 56450/160000, loss: 0.0894, lr: 0.000039, batch_cost: 1.2015, reader_cost: 0.00016, ips: 1.6646 samples/sec | ETA 34:33:34 2021-08-22 08:35:57 [INFO] [TRAIN] epoch: 152, iter: 56460/160000, loss: 0.0701, lr: 0.000039, batch_cost: 1.2086, reader_cost: 0.00017, ips: 1.6549 samples/sec | ETA 34:45:33 2021-08-22 08:36:09 [INFO] [TRAIN] epoch: 152, iter: 56470/160000, loss: 0.0628, lr: 0.000039, batch_cost: 1.2083, reader_cost: 0.00018, ips: 1.6553 samples/sec | ETA 34:44:50 2021-08-22 08:36:21 [INFO] [TRAIN] epoch: 152, iter: 56480/160000, loss: 0.0817, lr: 0.000039, batch_cost: 1.1847, reader_cost: 0.00016, ips: 1.6881 samples/sec | ETA 34:04:03 2021-08-22 08:36:33 [INFO] [TRAIN] epoch: 152, iter: 56490/160000, loss: 0.0642, lr: 0.000039, batch_cost: 1.1978, reader_cost: 0.00016, ips: 1.6698 samples/sec | ETA 34:26:19 2021-08-22 08:36:45 [INFO] [TRAIN] epoch: 152, iter: 56500/160000, loss: 0.0690, lr: 0.000039, batch_cost: 1.1960, reader_cost: 0.00016, ips: 1.6722 samples/sec | ETA 34:23:11 2021-08-22 08:36:57 [INFO] [TRAIN] epoch: 152, iter: 56510/160000, loss: 0.0858, lr: 0.000039, batch_cost: 1.1994, reader_cost: 0.00016, ips: 1.6675 samples/sec | ETA 34:28:44 2021-08-22 08:37:09 [INFO] [TRAIN] epoch: 152, iter: 56520/160000, loss: 0.0798, lr: 0.000039, batch_cost: 1.1894, reader_cost: 0.00016, ips: 1.6816 samples/sec | ETA 34:11:14 2021-08-22 08:37:21 [INFO] [TRAIN] epoch: 152, iter: 56530/160000, loss: 0.0687, lr: 0.000039, batch_cost: 1.1942, reader_cost: 0.00016, ips: 1.6748 samples/sec | ETA 34:19:23 2021-08-22 08:37:32 [INFO] [TRAIN] epoch: 152, iter: 56540/160000, loss: 0.0603, lr: 0.000039, batch_cost: 1.1692, reader_cost: 0.00012, ips: 1.7106 samples/sec | ETA 33:36:04 2021-08-22 08:37:46 [INFO] [TRAIN] epoch: 153, iter: 56550/160000, loss: 0.0672, lr: 0.000039, batch_cost: 1.3954, reader_cost: 0.19543, ips: 1.4333 samples/sec | ETA 40:05:51 2021-08-22 08:37:58 [INFO] [TRAIN] epoch: 153, iter: 56560/160000, loss: 0.0587, lr: 0.000039, batch_cost: 1.1923, reader_cost: 0.00067, ips: 1.6774 samples/sec | ETA 34:15:36 2021-08-22 08:38:10 [INFO] [TRAIN] epoch: 153, iter: 56570/160000, loss: 0.0698, lr: 0.000039, batch_cost: 1.2008, reader_cost: 0.00017, ips: 1.6656 samples/sec | ETA 34:29:53 2021-08-22 08:38:22 [INFO] [TRAIN] epoch: 153, iter: 56580/160000, loss: 0.0616, lr: 0.000039, batch_cost: 1.1959, reader_cost: 0.00016, ips: 1.6724 samples/sec | ETA 34:21:18 2021-08-22 08:38:34 [INFO] [TRAIN] epoch: 153, iter: 56590/160000, loss: 0.0622, lr: 0.000039, batch_cost: 1.1917, reader_cost: 0.00016, ips: 1.6783 samples/sec | ETA 34:13:50 2021-08-22 08:38:46 [INFO] [TRAIN] epoch: 153, iter: 56600/160000, loss: 0.0774, lr: 0.000039, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 34:13:24 2021-08-22 08:38:58 [INFO] [TRAIN] epoch: 153, iter: 56610/160000, loss: 0.0660, lr: 0.000039, batch_cost: 1.1939, reader_cost: 0.00018, ips: 1.6752 samples/sec | ETA 34:17:19 2021-08-22 08:39:10 [INFO] [TRAIN] epoch: 153, iter: 56620/160000, loss: 0.0714, lr: 0.000039, batch_cost: 1.1889, reader_cost: 0.00016, ips: 1.6822 samples/sec | ETA 34:08:28 2021-08-22 08:39:22 [INFO] [TRAIN] epoch: 153, iter: 56630/160000, loss: 0.0733, lr: 0.000039, batch_cost: 1.1994, reader_cost: 0.00017, ips: 1.6675 samples/sec | ETA 34:26:22 2021-08-22 08:39:34 [INFO] [TRAIN] epoch: 153, iter: 56640/160000, loss: 0.0636, lr: 0.000039, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6744 samples/sec | ETA 34:17:40 2021-08-22 08:39:46 [INFO] [TRAIN] epoch: 153, iter: 56650/160000, loss: 0.0619, lr: 0.000039, batch_cost: 1.1993, reader_cost: 0.00017, ips: 1.6676 samples/sec | ETA 34:25:52 2021-08-22 08:39:58 [INFO] [TRAIN] epoch: 153, iter: 56660/160000, loss: 0.0685, lr: 0.000039, batch_cost: 1.1907, reader_cost: 0.00018, ips: 1.6796 samples/sec | ETA 34:10:50 2021-08-22 08:40:09 [INFO] [TRAIN] epoch: 153, iter: 56670/160000, loss: 0.0586, lr: 0.000039, batch_cost: 1.1878, reader_cost: 0.00016, ips: 1.6838 samples/sec | ETA 34:05:31 2021-08-22 08:40:21 [INFO] [TRAIN] epoch: 153, iter: 56680/160000, loss: 0.0644, lr: 0.000039, batch_cost: 1.1910, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 153, iter: 56800/160000, loss: 0.0662, lr: 0.000039, batch_cost: 1.1842, reader_cost: 0.00017, ips: 1.6889 samples/sec | ETA 33:56:47 2021-08-22 08:42:56 [INFO] [TRAIN] epoch: 153, iter: 56810/160000, loss: 0.0652, lr: 0.000039, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 34:11:49 2021-08-22 08:43:08 [INFO] [TRAIN] epoch: 153, iter: 56820/160000, loss: 0.0577, lr: 0.000039, batch_cost: 1.1859, reader_cost: 0.00017, ips: 1.6865 samples/sec | ETA 33:59:23 2021-08-22 08:43:20 [INFO] [TRAIN] epoch: 153, iter: 56830/160000, loss: 0.0669, lr: 0.000039, batch_cost: 1.1849, reader_cost: 0.00017, ips: 1.6879 samples/sec | ETA 33:57:27 2021-08-22 08:43:32 [INFO] [TRAIN] epoch: 153, iter: 56840/160000, loss: 0.0706, lr: 0.000039, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 34:12:23 2021-08-22 08:43:44 [INFO] [TRAIN] epoch: 153, iter: 56850/160000, loss: 0.0550, lr: 0.000039, batch_cost: 1.1867, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 154, iter: 56970/160000, loss: 0.0573, lr: 0.000039, batch_cost: 1.1900, reader_cost: 0.00017, ips: 1.6807 samples/sec | ETA 34:03:24 2021-08-22 08:46:21 [INFO] [TRAIN] epoch: 154, iter: 56980/160000, loss: 0.0549, lr: 0.000039, batch_cost: 1.2101, reader_cost: 0.00017, ips: 1.6527 samples/sec | ETA 34:37:48 2021-08-22 08:46:33 [INFO] [TRAIN] epoch: 154, iter: 56990/160000, loss: 0.0597, lr: 0.000039, batch_cost: 1.2089, reader_cost: 0.00017, ips: 1.6544 samples/sec | ETA 34:35:26 2021-08-22 08:46:45 [INFO] [TRAIN] epoch: 154, iter: 57000/160000, loss: 0.0590, lr: 0.000039, batch_cost: 1.2073, reader_cost: 0.00017, ips: 1.6567 samples/sec | ETA 34:32:27 2021-08-22 08:46:57 [INFO] [TRAIN] epoch: 154, iter: 57010/160000, loss: 0.0736, lr: 0.000039, batch_cost: 1.2048, reader_cost: 0.00017, ips: 1.6600 samples/sec | ETA 34:28:07 2021-08-22 08:47:09 [INFO] [TRAIN] epoch: 154, iter: 57020/160000, loss: 0.0903, lr: 0.000039, batch_cost: 1.2120, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 154, iter: 57140/160000, loss: 0.0769, lr: 0.000039, batch_cost: 1.1866, reader_cost: 0.00016, ips: 1.6855 samples/sec | ETA 33:54:10 2021-08-22 08:49:44 [INFO] [TRAIN] epoch: 154, iter: 57150/160000, loss: 0.0670, lr: 0.000039, batch_cost: 1.1879, reader_cost: 0.00016, ips: 1.6836 samples/sec | ETA 33:56:17 2021-08-22 08:49:56 [INFO] [TRAIN] epoch: 154, iter: 57160/160000, loss: 0.0708, lr: 0.000039, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6808 samples/sec | ETA 33:59:28 2021-08-22 08:50:08 [INFO] [TRAIN] epoch: 154, iter: 57170/160000, loss: 0.0764, lr: 0.000039, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6832 samples/sec | ETA 33:56:21 2021-08-22 08:50:20 [INFO] [TRAIN] epoch: 154, iter: 57180/160000, loss: 0.0618, lr: 0.000039, batch_cost: 1.1976, reader_cost: 0.00016, ips: 1.6700 samples/sec | ETA 34:12:19 2021-08-22 08:50:31 [INFO] [TRAIN] epoch: 154, iter: 57190/160000, loss: 0.0738, lr: 0.000039, batch_cost: 1.1922, reader_cost: 0.00016, ips: 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[TRAIN] epoch: 155, iter: 57310/160000, loss: 0.0690, lr: 0.000039, batch_cost: 1.1861, reader_cost: 0.00016, ips: 1.6861 samples/sec | ETA 33:50:05 2021-08-22 08:53:08 [INFO] [TRAIN] epoch: 155, iter: 57320/160000, loss: 0.0634, lr: 0.000039, batch_cost: 1.1852, reader_cost: 0.00016, ips: 1.6875 samples/sec | ETA 33:48:11 2021-08-22 08:53:20 [INFO] [TRAIN] epoch: 155, iter: 57330/160000, loss: 0.0691, lr: 0.000039, batch_cost: 1.1925, reader_cost: 0.00016, ips: 1.6771 samples/sec | ETA 34:00:35 2021-08-22 08:53:32 [INFO] [TRAIN] epoch: 155, iter: 57340/160000, loss: 0.0595, lr: 0.000038, batch_cost: 1.1937, reader_cost: 0.00016, ips: 1.6755 samples/sec | ETA 34:02:21 2021-08-22 08:53:44 [INFO] [TRAIN] epoch: 155, iter: 57350/160000, loss: 0.0838, lr: 0.000038, batch_cost: 1.1970, reader_cost: 0.00017, ips: 1.6709 samples/sec | ETA 34:07:49 2021-08-22 08:53:56 [INFO] [TRAIN] epoch: 155, iter: 57360/160000, loss: 0.0526, lr: 0.000038, batch_cost: 1.1940, reader_cost: 0.00018, ips: 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[TRAIN] epoch: 155, iter: 57480/160000, loss: 0.0717, lr: 0.000038, batch_cost: 1.1837, reader_cost: 0.00017, ips: 1.6897 samples/sec | ETA 33:42:28 2021-08-22 08:56:32 [INFO] [TRAIN] epoch: 155, iter: 57490/160000, loss: 0.0575, lr: 0.000038, batch_cost: 1.1843, reader_cost: 0.00017, ips: 1.6888 samples/sec | ETA 33:43:20 2021-08-22 08:56:43 [INFO] [TRAIN] epoch: 155, iter: 57500/160000, loss: 0.0605, lr: 0.000038, batch_cost: 1.1847, reader_cost: 0.00017, ips: 1.6883 samples/sec | ETA 33:43:47 2021-08-22 08:56:55 [INFO] [TRAIN] epoch: 155, iter: 57510/160000, loss: 0.0663, lr: 0.000038, batch_cost: 1.1847, reader_cost: 0.00017, ips: 1.6882 samples/sec | ETA 33:43:39 2021-08-22 08:57:07 [INFO] [TRAIN] epoch: 155, iter: 57520/160000, loss: 0.0656, lr: 0.000038, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6805 samples/sec | ETA 33:52:44 2021-08-22 08:57:19 [INFO] [TRAIN] epoch: 155, iter: 57530/160000, loss: 0.0781, lr: 0.000038, batch_cost: 1.2115, reader_cost: 0.00018, ips: 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[TRAIN] epoch: 155, iter: 57650/160000, loss: 0.0594, lr: 0.000038, batch_cost: 1.1912, reader_cost: 0.00016, ips: 1.6790 samples/sec | ETA 33:51:55 2021-08-22 08:59:55 [INFO] [TRAIN] epoch: 155, iter: 57660/160000, loss: 0.0839, lr: 0.000038, batch_cost: 1.1855, reader_cost: 0.00012, ips: 1.6870 samples/sec | ETA 33:42:06 2021-08-22 09:00:09 [INFO] [TRAIN] epoch: 156, iter: 57670/160000, loss: 0.0941, lr: 0.000038, batch_cost: 1.4161, reader_cost: 0.18459, ips: 1.4123 samples/sec | ETA 40:15:13 2021-08-22 09:00:21 [INFO] [TRAIN] epoch: 156, iter: 57680/160000, loss: 0.0729, lr: 0.000038, batch_cost: 1.2064, reader_cost: 0.00063, ips: 1.6578 samples/sec | ETA 34:17:21 2021-08-22 09:00:33 [INFO] [TRAIN] epoch: 156, iter: 57690/160000, loss: 0.0912, lr: 0.000038, batch_cost: 1.2165, reader_cost: 0.00020, ips: 1.6440 samples/sec | ETA 34:34:24 2021-08-22 09:00:45 [INFO] [TRAIN] epoch: 156, iter: 57700/160000, loss: 0.0734, lr: 0.000038, batch_cost: 1.1956, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 156, iter: 57820/160000, loss: 0.0732, lr: 0.000038, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6791 samples/sec | ETA 33:48:29 2021-08-22 09:03:20 [INFO] [TRAIN] epoch: 156, iter: 57830/160000, loss: 0.0730, lr: 0.000038, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6753 samples/sec | ETA 33:52:50 2021-08-22 09:03:32 [INFO] [TRAIN] epoch: 156, iter: 57840/160000, loss: 0.0708, lr: 0.000038, batch_cost: 1.1947, reader_cost: 0.00017, ips: 1.6740 samples/sec | ETA 33:54:13 2021-08-22 09:03:44 [INFO] [TRAIN] epoch: 156, iter: 57850/160000, loss: 0.0724, lr: 0.000038, batch_cost: 1.1981, reader_cost: 0.00017, ips: 1.6693 samples/sec | ETA 33:59:47 2021-08-22 09:03:56 [INFO] [TRAIN] epoch: 156, iter: 57860/160000, loss: 0.0676, lr: 0.000038, batch_cost: 1.1987, reader_cost: 0.00016, ips: 1.6685 samples/sec | ETA 34:00:34 2021-08-22 09:04:08 [INFO] [TRAIN] epoch: 156, iter: 57870/160000, loss: 0.0528, lr: 0.000038, batch_cost: 1.1869, reader_cost: 0.00018, ips: 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[TRAIN] epoch: 157, iter: 58160/160000, loss: 0.0565, lr: 0.000038, batch_cost: 1.2020, reader_cost: 0.00016, ips: 1.6638 samples/sec | ETA 34:00:16 2021-08-22 09:10:09 [INFO] [TRAIN] epoch: 157, iter: 58170/160000, loss: 0.0640, lr: 0.000038, batch_cost: 1.1955, reader_cost: 0.00016, ips: 1.6729 samples/sec | ETA 33:49:02 2021-08-22 09:10:21 [INFO] [TRAIN] epoch: 157, iter: 58180/160000, loss: 0.0629, lr: 0.000038, batch_cost: 1.1998, reader_cost: 0.00017, ips: 1.6669 samples/sec | ETA 33:56:08 2021-08-22 09:10:33 [INFO] [TRAIN] epoch: 157, iter: 58190/160000, loss: 0.0638, lr: 0.000038, batch_cost: 1.2035, reader_cost: 0.00016, ips: 1.6618 samples/sec | ETA 34:02:07 2021-08-22 09:10:45 [INFO] [TRAIN] epoch: 157, iter: 58200/160000, loss: 0.0626, lr: 0.000038, batch_cost: 1.2059, reader_cost: 0.00016, ips: 1.6585 samples/sec | ETA 34:06:04 2021-08-22 09:10:57 [INFO] [TRAIN] epoch: 157, iter: 58210/160000, loss: 0.0660, lr: 0.000038, batch_cost: 1.2039, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 157, iter: 58330/160000, loss: 0.0562, lr: 0.000038, batch_cost: 1.2035, reader_cost: 0.00019, ips: 1.6618 samples/sec | ETA 33:59:21 2021-08-22 09:13:33 [INFO] [TRAIN] epoch: 157, iter: 58340/160000, loss: 0.0623, lr: 0.000038, batch_cost: 1.2010, reader_cost: 0.00020, ips: 1.6652 samples/sec | ETA 33:54:56 2021-08-22 09:13:45 [INFO] [TRAIN] epoch: 157, iter: 58350/160000, loss: 0.0650, lr: 0.000038, batch_cost: 1.1905, reader_cost: 0.00018, ips: 1.6800 samples/sec | ETA 33:36:52 2021-08-22 09:13:57 [INFO] [TRAIN] epoch: 157, iter: 58360/160000, loss: 0.0618, lr: 0.000038, batch_cost: 1.1929, reader_cost: 0.00016, ips: 1.6767 samples/sec | ETA 33:40:41 2021-08-22 09:14:09 [INFO] [TRAIN] epoch: 157, iter: 58370/160000, loss: 0.0746, lr: 0.000038, batch_cost: 1.1972, reader_cost: 0.00017, ips: 1.6705 samples/sec | ETA 33:47:54 2021-08-22 09:14:20 [INFO] [TRAIN] epoch: 157, iter: 58380/160000, loss: 0.0571, lr: 0.000038, batch_cost: 1.1913, reader_cost: 0.00018, ips: 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[TRAIN] epoch: 158, iter: 58500/160000, loss: 0.0725, lr: 0.000038, batch_cost: 1.2033, reader_cost: 0.00017, ips: 1.6622 samples/sec | ETA 33:55:30 2021-08-22 09:16:58 [INFO] [TRAIN] epoch: 158, iter: 58510/160000, loss: 0.0759, lr: 0.000038, batch_cost: 1.2022, reader_cost: 0.00017, ips: 1.6637 samples/sec | ETA 33:53:28 2021-08-22 09:17:10 [INFO] [TRAIN] epoch: 158, iter: 58520/160000, loss: 0.0634, lr: 0.000038, batch_cost: 1.2092, reader_cost: 0.00017, ips: 1.6540 samples/sec | ETA 34:05:07 2021-08-22 09:17:22 [INFO] [TRAIN] epoch: 158, iter: 58530/160000, loss: 0.0731, lr: 0.000038, batch_cost: 1.2074, reader_cost: 0.00016, ips: 1.6564 samples/sec | ETA 34:01:55 2021-08-22 09:17:34 [INFO] [TRAIN] epoch: 158, iter: 58540/160000, loss: 0.0586, lr: 0.000038, batch_cost: 1.2058, reader_cost: 0.00016, ips: 1.6586 samples/sec | ETA 33:59:04 2021-08-22 09:17:46 [INFO] [TRAIN] epoch: 158, iter: 58550/160000, loss: 0.0632, lr: 0.000038, batch_cost: 1.2065, reader_cost: 0.00016, ips: 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[TRAIN] epoch: 158, iter: 58670/160000, loss: 0.0779, lr: 0.000038, batch_cost: 1.1896, reader_cost: 0.00018, ips: 1.6812 samples/sec | ETA 33:29:07 2021-08-22 09:20:22 [INFO] [TRAIN] epoch: 158, iter: 58680/160000, loss: 0.0659, lr: 0.000038, batch_cost: 1.1964, reader_cost: 0.00018, ips: 1.6716 samples/sec | ETA 33:40:22 2021-08-22 09:20:34 [INFO] [TRAIN] epoch: 158, iter: 58690/160000, loss: 0.0608, lr: 0.000038, batch_cost: 1.1866, reader_cost: 0.00017, ips: 1.6855 samples/sec | ETA 33:23:31 2021-08-22 09:20:46 [INFO] [TRAIN] epoch: 158, iter: 58700/160000, loss: 0.1351, lr: 0.000038, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 33:26:23 2021-08-22 09:20:58 [INFO] [TRAIN] epoch: 158, iter: 58710/160000, loss: 0.0985, lr: 0.000038, batch_cost: 1.1932, reader_cost: 0.00018, ips: 1.6761 samples/sec | ETA 33:34:23 2021-08-22 09:21:10 [INFO] [TRAIN] epoch: 158, iter: 58720/160000, loss: 0.1138, lr: 0.000038, batch_cost: 1.2033, reader_cost: 0.00017, ips: 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0.000038, batch_cost: 1.3875, reader_cost: 0.18403, ips: 1.4414 samples/sec | ETA 39:00:43 2021-08-22 09:22:35 [INFO] [TRAIN] epoch: 159, iter: 58790/160000, loss: 0.0742, lr: 0.000038, batch_cost: 1.2046, reader_cost: 0.00064, ips: 1.6604 samples/sec | ETA 33:51:53 2021-08-22 09:22:47 [INFO] [TRAIN] epoch: 159, iter: 58800/160000, loss: 0.0741, lr: 0.000038, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6832 samples/sec | ETA 33:24:08 2021-08-22 09:22:59 [INFO] [TRAIN] epoch: 159, iter: 58810/160000, loss: 0.0840, lr: 0.000038, batch_cost: 1.1848, reader_cost: 0.00017, ips: 1.6880 samples/sec | ETA 33:18:13 2021-08-22 09:23:11 [INFO] [TRAIN] epoch: 159, iter: 58820/160000, loss: 0.0614, lr: 0.000038, batch_cost: 1.1934, reader_cost: 0.00017, ips: 1.6759 samples/sec | ETA 33:32:28 2021-08-22 09:23:23 [INFO] [TRAIN] epoch: 159, iter: 58830/160000, loss: 0.0672, lr: 0.000038, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6780 samples/sec | ETA 33:29:44 2021-08-22 09:23:35 [INFO] [TRAIN] epoch: 159, iter: 58840/160000, loss: 0.0631, lr: 0.000038, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6767 samples/sec | ETA 33:31:08 2021-08-22 09:23:47 [INFO] [TRAIN] epoch: 159, iter: 58850/160000, loss: 0.0679, lr: 0.000038, batch_cost: 1.1992, reader_cost: 0.00018, ips: 1.6678 samples/sec | ETA 33:41:36 2021-08-22 09:23:59 [INFO] [TRAIN] epoch: 159, iter: 58860/160000, loss: 0.0608, lr: 0.000038, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6797 samples/sec | ETA 33:27:04 2021-08-22 09:24:11 [INFO] [TRAIN] epoch: 159, iter: 58870/160000, loss: 0.0720, lr: 0.000038, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 33:27:11 2021-08-22 09:24:22 [INFO] [TRAIN] epoch: 159, iter: 58880/160000, loss: 0.0658, lr: 0.000038, batch_cost: 1.1848, reader_cost: 0.00016, ips: 1.6881 samples/sec | ETA 33:16:46 2021-08-22 09:24:34 [INFO] [TRAIN] epoch: 159, iter: 58890/160000, loss: 0.0601, lr: 0.000038, batch_cost: 1.1931, reader_cost: 0.00016, ips: 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[TRAIN] epoch: 159, iter: 59010/160000, loss: 0.0673, lr: 0.000038, batch_cost: 1.1977, reader_cost: 0.00016, ips: 1.6699 samples/sec | ETA 33:35:56 2021-08-22 09:27:10 [INFO] [TRAIN] epoch: 159, iter: 59020/160000, loss: 0.0774, lr: 0.000038, batch_cost: 1.2111, reader_cost: 0.00016, ips: 1.6514 samples/sec | ETA 33:58:16 2021-08-22 09:27:22 [INFO] [TRAIN] epoch: 159, iter: 59030/160000, loss: 0.0696, lr: 0.000038, batch_cost: 1.2003, reader_cost: 0.00016, ips: 1.6662 samples/sec | ETA 33:39:57 2021-08-22 09:27:33 [INFO] [TRAIN] epoch: 159, iter: 59040/160000, loss: 0.0635, lr: 0.000038, batch_cost: 1.1855, reader_cost: 0.00016, ips: 1.6870 samples/sec | ETA 33:14:49 2021-08-22 09:27:45 [INFO] [TRAIN] epoch: 159, iter: 59050/160000, loss: 0.0785, lr: 0.000038, batch_cost: 1.1944, reader_cost: 0.00016, ips: 1.6745 samples/sec | ETA 33:29:31 2021-08-22 09:27:57 [INFO] [TRAIN] epoch: 159, iter: 59060/160000, loss: 0.0621, lr: 0.000038, batch_cost: 1.1913, reader_cost: 0.00016, ips: 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[TRAIN] epoch: 160, iter: 59180/160000, loss: 0.0554, lr: 0.000038, batch_cost: 1.1940, reader_cost: 0.00016, ips: 1.6750 samples/sec | ETA 33:26:19 2021-08-22 09:30:34 [INFO] [TRAIN] epoch: 160, iter: 59190/160000, loss: 0.0935, lr: 0.000038, batch_cost: 1.1997, reader_cost: 0.00016, ips: 1.6671 samples/sec | ETA 33:35:43 2021-08-22 09:30:46 [INFO] [TRAIN] epoch: 160, iter: 59200/160000, loss: 0.0700, lr: 0.000038, batch_cost: 1.2040, reader_cost: 0.00017, ips: 1.6611 samples/sec | ETA 33:42:48 2021-08-22 09:30:58 [INFO] [TRAIN] epoch: 160, iter: 59210/160000, loss: 0.0802, lr: 0.000038, batch_cost: 1.1897, reader_cost: 0.00018, ips: 1.6811 samples/sec | ETA 33:18:29 2021-08-22 09:31:10 [INFO] [TRAIN] epoch: 160, iter: 59220/160000, loss: 0.0751, lr: 0.000038, batch_cost: 1.1867, reader_cost: 0.00017, ips: 1.6853 samples/sec | ETA 33:13:19 2021-08-22 09:31:22 [INFO] [TRAIN] epoch: 160, iter: 59230/160000, loss: 0.0587, lr: 0.000038, batch_cost: 1.1909, reader_cost: 0.00016, ips: 1.6793 samples/sec | ETA 33:20:11 2021-08-22 09:31:34 [INFO] [TRAIN] epoch: 160, iter: 59240/160000, loss: 0.0598, lr: 0.000038, batch_cost: 1.1931, reader_cost: 0.00016, ips: 1.6762 samples/sec | ETA 33:23:40 2021-08-22 09:31:46 [INFO] [TRAIN] epoch: 160, iter: 59250/160000, loss: 0.0611, lr: 0.000038, batch_cost: 1.1914, reader_cost: 0.00016, ips: 1.6787 samples/sec | ETA 33:20:34 2021-08-22 09:31:58 [INFO] [TRAIN] epoch: 160, iter: 59260/160000, loss: 0.0682, lr: 0.000038, batch_cost: 1.1896, reader_cost: 0.00016, ips: 1.6812 samples/sec | ETA 33:17:24 2021-08-22 09:32:10 [INFO] [TRAIN] epoch: 160, iter: 59270/160000, loss: 0.0772, lr: 0.000038, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 33:19:32 2021-08-22 09:32:22 [INFO] [TRAIN] epoch: 160, iter: 59280/160000, loss: 0.0581, lr: 0.000038, batch_cost: 1.2002, reader_cost: 0.00016, ips: 1.6664 samples/sec | ETA 33:34:45 2021-08-22 09:32:34 [INFO] [TRAIN] epoch: 160, iter: 59290/160000, loss: 0.0699, lr: 0.000038, batch_cost: 1.1995, reader_cost: 0.00016, ips: 1.6674 samples/sec | ETA 33:33:18 2021-08-22 09:32:46 [INFO] [TRAIN] epoch: 160, iter: 59300/160000, loss: 0.0579, lr: 0.000038, batch_cost: 1.1984, reader_cost: 0.00017, ips: 1.6689 samples/sec | ETA 33:31:21 2021-08-22 09:32:58 [INFO] [TRAIN] epoch: 160, iter: 59310/160000, loss: 0.0631, lr: 0.000038, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6753 samples/sec | ETA 33:23:26 2021-08-22 09:33:09 [INFO] [TRAIN] epoch: 160, iter: 59320/160000, loss: 0.0707, lr: 0.000038, batch_cost: 1.1787, reader_cost: 0.00016, ips: 1.6967 samples/sec | ETA 32:57:54 2021-08-22 09:33:21 [INFO] [TRAIN] epoch: 160, iter: 59330/160000, loss: 0.0648, lr: 0.000038, batch_cost: 1.1926, reader_cost: 0.00017, ips: 1.6770 samples/sec | ETA 33:20:58 2021-08-22 09:33:33 [INFO] [TRAIN] epoch: 160, iter: 59340/160000, loss: 0.0725, lr: 0.000038, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 33:13:39 2021-08-22 09:33:45 [INFO] [TRAIN] epoch: 160, iter: 59350/160000, loss: 0.0709, lr: 0.000038, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6743 samples/sec | ETA 33:23:47 2021-08-22 09:33:57 [INFO] [TRAIN] epoch: 160, iter: 59360/160000, loss: 0.0586, lr: 0.000038, batch_cost: 1.1980, reader_cost: 0.00017, ips: 1.6695 samples/sec | ETA 33:29:23 2021-08-22 09:34:09 [INFO] [TRAIN] epoch: 160, iter: 59370/160000, loss: 0.0749, lr: 0.000038, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 33:23:52 2021-08-22 09:34:21 [INFO] [TRAIN] epoch: 160, iter: 59380/160000, loss: 0.0610, lr: 0.000038, batch_cost: 1.1935, reader_cost: 0.00017, ips: 1.6757 samples/sec | ETA 33:21:32 2021-08-22 09:34:33 [INFO] [TRAIN] epoch: 160, iter: 59390/160000, loss: 0.0706, lr: 0.000038, batch_cost: 1.1861, reader_cost: 0.00017, ips: 1.6863 samples/sec | ETA 33:08:49 2021-08-22 09:34:45 [INFO] [TRAIN] epoch: 160, iter: 59400/160000, loss: 0.0707, lr: 0.000038, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6780 samples/sec | ETA 33:18:25 2021-08-22 09:34:57 [INFO] [TRAIN] epoch: 160, iter: 59410/160000, loss: 0.0640, lr: 0.000038, batch_cost: 1.1849, reader_cost: 0.00017, ips: 1.6879 samples/sec | ETA 33:06:33 2021-08-22 09:35:09 [INFO] [TRAIN] epoch: 160, iter: 59420/160000, loss: 0.0635, lr: 0.000038, batch_cost: 1.1920, reader_cost: 0.00016, ips: 1.6779 samples/sec | ETA 33:18:10 2021-08-22 09:35:21 [INFO] [TRAIN] epoch: 160, iter: 59430/160000, loss: 0.0648, lr: 0.000038, batch_cost: 1.1868, reader_cost: 0.00016, ips: 1.6852 samples/sec | ETA 33:09:13 2021-08-22 09:35:32 [INFO] [TRAIN] epoch: 160, iter: 59440/160000, loss: 0.0642, lr: 0.000038, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6805 samples/sec | ETA 33:14:37 2021-08-22 09:35:44 [INFO] [TRAIN] epoch: 160, iter: 59450/160000, loss: 0.0657, lr: 0.000038, batch_cost: 1.1932, reader_cost: 0.00017, ips: 1.6761 samples/sec | ETA 33:19:38 2021-08-22 09:35:56 [INFO] [TRAIN] epoch: 160, iter: 59460/160000, loss: 0.0697, lr: 0.000038, batch_cost: 1.1933, reader_cost: 0.00016, ips: 1.6761 samples/sec | ETA 33:19:30 2021-08-22 09:36:08 [INFO] [TRAIN] epoch: 160, iter: 59470/160000, loss: 0.0737, lr: 0.000038, batch_cost: 1.1892, reader_cost: 0.00016, ips: 1.6818 samples/sec | ETA 33:12:31 2021-08-22 09:36:20 [INFO] [TRAIN] epoch: 160, iter: 59480/160000, loss: 0.0662, lr: 0.000038, batch_cost: 1.1887, reader_cost: 0.00016, ips: 1.6825 samples/sec | ETA 33:11:26 2021-08-22 09:36:32 [INFO] [TRAIN] epoch: 160, iter: 59490/160000, loss: 0.0752, lr: 0.000038, batch_cost: 1.1809, reader_cost: 0.00017, ips: 1.6937 samples/sec | ETA 32:58:10 2021-08-22 09:36:44 [INFO] [TRAIN] epoch: 160, iter: 59500/160000, loss: 0.0636, lr: 0.000038, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 33:15:23 2021-08-22 09:36:56 [INFO] [TRAIN] epoch: 160, iter: 59510/160000, loss: 0.0619, lr: 0.000038, batch_cost: 1.1842, reader_cost: 0.00016, ips: 1.6889 samples/sec | ETA 33:03:17 2021-08-22 09:37:07 [INFO] [TRAIN] epoch: 160, iter: 59520/160000, loss: 0.0796, lr: 0.000038, batch_cost: 1.1622, reader_cost: 0.00012, ips: 1.7209 samples/sec | ETA 32:26:18 2021-08-22 09:37:21 [INFO] [TRAIN] epoch: 161, iter: 59530/160000, loss: 0.0692, lr: 0.000038, batch_cost: 1.3909, reader_cost: 0.15389, ips: 1.4379 samples/sec | ETA 38:49:04 2021-08-22 09:37:33 [INFO] [TRAIN] epoch: 161, iter: 59540/160000, loss: 0.0736, lr: 0.000038, batch_cost: 1.1933, reader_cost: 0.00062, ips: 1.6761 samples/sec | ETA 33:17:54 2021-08-22 09:37:45 [INFO] [TRAIN] epoch: 161, iter: 59550/160000, loss: 0.0591, lr: 0.000038, batch_cost: 1.2039, reader_cost: 0.00016, ips: 1.6612 samples/sec | ETA 33:35:36 2021-08-22 09:37:57 [INFO] [TRAIN] epoch: 161, iter: 59560/160000, loss: 0.0657, lr: 0.000038, batch_cost: 1.1911, reader_cost: 0.00016, ips: 1.6791 samples/sec | ETA 33:13:52 2021-08-22 09:38:09 [INFO] [TRAIN] epoch: 161, iter: 59570/160000, loss: 0.0823, lr: 0.000038, batch_cost: 1.1877, reader_cost: 0.00016, ips: 1.6839 samples/sec | ETA 33:08:02 2021-08-22 09:38:21 [INFO] [TRAIN] epoch: 161, iter: 59580/160000, loss: 0.0653, lr: 0.000038, batch_cost: 1.1886, reader_cost: 0.00017, ips: 1.6826 samples/sec | ETA 33:09:19 2021-08-22 09:38:33 [INFO] [TRAIN] epoch: 161, iter: 59590/160000, loss: 0.0861, lr: 0.000038, batch_cost: 1.1854, reader_cost: 0.00017, ips: 1.6871 samples/sec | ETA 33:03:50 2021-08-22 09:38:45 [INFO] [TRAIN] epoch: 161, iter: 59600/160000, loss: 0.0650, lr: 0.000038, batch_cost: 1.1894, reader_cost: 0.00016, ips: 1.6815 samples/sec | ETA 33:10:17 2021-08-22 09:38:57 [INFO] [TRAIN] epoch: 161, iter: 59610/160000, loss: 0.0624, lr: 0.000038, batch_cost: 1.2135, reader_cost: 0.00017, ips: 1.6481 samples/sec | ETA 33:50:27 2021-08-22 09:39:09 [INFO] [TRAIN] epoch: 161, iter: 59620/160000, loss: 0.0681, lr: 0.000038, batch_cost: 1.1952, reader_cost: 0.00017, ips: 1.6733 samples/sec | ETA 33:19:36 2021-08-22 09:39:21 [INFO] [TRAIN] epoch: 161, iter: 59630/160000, loss: 0.0654, lr: 0.000038, batch_cost: 1.1933, reader_cost: 0.00017, ips: 1.6761 samples/sec | ETA 33:16:09 2021-08-22 09:39:32 [INFO] [TRAIN] epoch: 161, iter: 59640/160000, loss: 0.0569, lr: 0.000038, batch_cost: 1.1880, reader_cost: 0.00016, ips: 1.6836 samples/sec | ETA 33:07:03 2021-08-22 09:39:44 [INFO] [TRAIN] epoch: 161, iter: 59650/160000, loss: 0.0696, lr: 0.000038, batch_cost: 1.1862, reader_cost: 0.00016, ips: 1.6861 samples/sec | ETA 33:03:52 2021-08-22 09:39:56 [INFO] [TRAIN] epoch: 161, iter: 59660/160000, loss: 0.0654, lr: 0.000038, batch_cost: 1.1947, reader_cost: 0.00016, ips: 1.6741 samples/sec | ETA 33:17:52 2021-08-22 09:40:08 [INFO] [TRAIN] epoch: 161, iter: 59670/160000, loss: 0.0646, lr: 0.000038, batch_cost: 1.1922, reader_cost: 0.00016, ips: 1.6776 samples/sec | ETA 33:13:29 2021-08-22 09:40:20 [INFO] [TRAIN] epoch: 161, iter: 59680/160000, loss: 0.0633, lr: 0.000038, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 33:11:48 2021-08-22 09:40:32 [INFO] [TRAIN] epoch: 161, iter: 59690/160000, loss: 0.0655, lr: 0.000038, batch_cost: 1.1890, reader_cost: 0.00018, ips: 1.6822 samples/sec | ETA 33:07:43 2021-08-22 09:40:44 [INFO] [TRAIN] epoch: 161, iter: 59700/160000, loss: 0.0672, lr: 0.000038, batch_cost: 1.1973, reader_cost: 0.00018, ips: 1.6704 samples/sec | ETA 33:21:31 2021-08-22 09:40:56 [INFO] [TRAIN] epoch: 161, iter: 59710/160000, loss: 0.0734, lr: 0.000038, batch_cost: 1.1961, reader_cost: 0.00016, ips: 1.6721 samples/sec | ETA 33:19:17 2021-08-22 09:41:08 [INFO] [TRAIN] epoch: 161, iter: 59720/160000, loss: 0.0598, lr: 0.000038, batch_cost: 1.1932, reader_cost: 0.00017, ips: 1.6762 samples/sec | ETA 33:14:09 2021-08-22 09:41:20 [INFO] [TRAIN] epoch: 161, iter: 59730/160000, loss: 0.0547, lr: 0.000038, batch_cost: 1.2083, reader_cost: 0.00019, ips: 1.6552 samples/sec | ETA 33:39:15 2021-08-22 09:41:32 [INFO] [TRAIN] epoch: 161, iter: 59740/160000, loss: 0.0636, lr: 0.000038, batch_cost: 1.1882, reader_cost: 0.00019, ips: 1.6832 samples/sec | ETA 33:05:30 2021-08-22 09:41:44 [INFO] [TRAIN] epoch: 161, iter: 59750/160000, loss: 0.0631, lr: 0.000038, batch_cost: 1.1882, reader_cost: 0.00020, ips: 1.6832 samples/sec | ETA 33:05:18 2021-08-22 09:41:56 [INFO] [TRAIN] epoch: 161, iter: 59760/160000, loss: 0.0634, lr: 0.000038, batch_cost: 1.1975, reader_cost: 0.00019, ips: 1.6701 samples/sec | ETA 33:20:38 2021-08-22 09:42:08 [INFO] [TRAIN] epoch: 161, iter: 59770/160000, loss: 0.0596, lr: 0.000038, batch_cost: 1.1864, reader_cost: 0.00018, ips: 1.6857 samples/sec | ETA 33:01:56 2021-08-22 09:42:19 [INFO] [TRAIN] epoch: 161, iter: 59780/160000, loss: 0.0599, lr: 0.000038, batch_cost: 1.1864, reader_cost: 0.00018, ips: 1.6858 samples/sec | ETA 33:01:37 2021-08-22 09:42:31 [INFO] [TRAIN] epoch: 161, iter: 59790/160000, loss: 0.0624, lr: 0.000038, batch_cost: 1.1925, reader_cost: 0.00018, ips: 1.6771 samples/sec | ETA 33:11:43 2021-08-22 09:42:43 [INFO] [TRAIN] epoch: 161, iter: 59800/160000, loss: 0.0604, lr: 0.000038, batch_cost: 1.1987, reader_cost: 0.00016, ips: 1.6685 samples/sec | ETA 33:21:46 2021-08-22 09:42:55 [INFO] [TRAIN] epoch: 161, iter: 59810/160000, loss: 0.0743, lr: 0.000038, batch_cost: 1.1933, reader_cost: 0.00016, ips: 1.6761 samples/sec | ETA 33:12:32 2021-08-22 09:43:07 [INFO] [TRAIN] epoch: 161, iter: 59820/160000, loss: 0.0827, lr: 0.000038, batch_cost: 1.1995, reader_cost: 0.00017, ips: 1.6673 samples/sec | ETA 33:22:47 2021-08-22 09:43:19 [INFO] [TRAIN] epoch: 161, iter: 59830/160000, loss: 0.0759, lr: 0.000038, batch_cost: 1.1977, reader_cost: 0.00016, ips: 1.6699 samples/sec | ETA 33:19:29 2021-08-22 09:43:31 [INFO] [TRAIN] epoch: 161, iter: 59840/160000, loss: 0.0605, lr: 0.000038, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6755 samples/sec | ETA 33:12:38 2021-08-22 09:43:43 [INFO] [TRAIN] epoch: 161, iter: 59850/160000, loss: 0.0634, lr: 0.000038, batch_cost: 1.1943, reader_cost: 0.00016, ips: 1.6747 samples/sec | ETA 33:13:26 2021-08-22 09:43:55 [INFO] [TRAIN] epoch: 161, iter: 59860/160000, loss: 0.0594, lr: 0.000038, batch_cost: 1.2059, reader_cost: 0.00017, ips: 1.6586 samples/sec | ETA 33:32:34 2021-08-22 09:44:07 [INFO] [TRAIN] epoch: 161, iter: 59870/160000, loss: 0.0613, lr: 0.000038, batch_cost: 1.1958, reader_cost: 0.00016, ips: 1.6725 samples/sec | ETA 33:15:38 2021-08-22 09:44:19 [INFO] [TRAIN] epoch: 161, iter: 59880/160000, loss: 0.0642, lr: 0.000038, batch_cost: 1.1889, reader_cost: 0.00016, ips: 1.6822 samples/sec | ETA 33:03:51 2021-08-22 09:44:31 [INFO] [TRAIN] epoch: 161, iter: 59890/160000, loss: 0.0719, lr: 0.000038, batch_cost: 1.1645, reader_cost: 0.00011, ips: 1.7175 samples/sec | ETA 32:22:58 2021-08-22 09:44:45 [INFO] [TRAIN] epoch: 162, iter: 59900/160000, loss: 0.0661, lr: 0.000038, batch_cost: 1.3948, reader_cost: 0.18050, ips: 1.4339 samples/sec | ETA 38:47:00 2021-08-22 09:44:57 [INFO] [TRAIN] epoch: 162, iter: 59910/160000, loss: 0.0578, lr: 0.000038, batch_cost: 1.1918, reader_cost: 0.00065, ips: 1.6782 samples/sec | ETA 33:08:03 2021-08-22 09:45:08 [INFO] [TRAIN] epoch: 162, iter: 59920/160000, loss: 0.0722, lr: 0.000038, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 33:08:27 2021-08-22 09:45:20 [INFO] [TRAIN] epoch: 162, iter: 59930/160000, loss: 0.0692, lr: 0.000038, batch_cost: 1.1960, reader_cost: 0.00017, ips: 1.6722 samples/sec | ETA 33:14:44 2021-08-22 09:45:32 [INFO] [TRAIN] epoch: 162, iter: 59940/160000, loss: 0.1266, lr: 0.000038, batch_cost: 1.1977, reader_cost: 0.00016, ips: 1.6698 samples/sec | ETA 33:17:23 2021-08-22 09:45:44 [INFO] [TRAIN] epoch: 162, iter: 59950/160000, loss: 0.0671, lr: 0.000038, batch_cost: 1.1931, reader_cost: 0.00016, ips: 1.6764 samples/sec | ETA 33:09:25 2021-08-22 09:45:56 [INFO] [TRAIN] epoch: 162, iter: 59960/160000, loss: 0.0913, lr: 0.000038, batch_cost: 1.1938, reader_cost: 0.00016, ips: 1.6754 samples/sec | ETA 33:10:24 2021-08-22 09:46:08 [INFO] [TRAIN] epoch: 162, iter: 59970/160000, loss: 0.0748, lr: 0.000038, batch_cost: 1.1860, reader_cost: 0.00016, ips: 1.6863 samples/sec | ETA 32:57:20 2021-08-22 09:46:20 [INFO] [TRAIN] epoch: 162, iter: 59980/160000, loss: 0.0682, lr: 0.000038, batch_cost: 1.1878, reader_cost: 0.00016, ips: 1.6838 samples/sec | ETA 33:00:03 2021-08-22 09:46:32 [INFO] [TRAIN] epoch: 162, iter: 59990/160000, loss: 0.0620, lr: 0.000038, batch_cost: 1.1900, reader_cost: 0.00016, ips: 1.6807 samples/sec | ETA 33:03:27 2021-08-22 09:46:44 [INFO] [TRAIN] epoch: 162, iter: 60000/160000, loss: 0.0631, lr: 0.000038, batch_cost: 1.1935, reader_cost: 0.00017, ips: 1.6757 samples/sec | ETA 33:09:11 2021-08-22 09:46:44 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:47 - batch_cost: 2.3155 - reader cost: 0.3592 2/125 [..............................] - ETA: 4:18 - batch_cost: 2.1019 - reader cost: 0.1797 3/125 [..............................] - ETA: 4:08 - batch_cost: 2.0356 - reader cost: 0.1198 4/125 [..............................] - ETA: 4:02 - batch_cost: 2.0006 - reader cost: 0.0899 5/125 [>.............................] - ETA: 3:57 - batch_cost: 1.9803 - reader cost: 0.0720 6/125 [>.............................] - ETA: 3:54 - batch_cost: 1.9688 - reader cost: 0.0600 7/125 [>.............................] - ETA: 3:50 - batch_cost: 1.9548 - reader cost: 0.0515 8/125 [>.............................] - ETA: 3:47 - batch_cost: 1.9475 - reader cost: 0.0451 9/125 [=>............................] - ETA: 3:45 - batch_cost: 1.9400 - reader cost: 0.0401 10/125 [=>............................] - ETA: 3:42 - batch_cost: 1.9336 - reader cost: 0.0361 11/125 [=>............................] - ETA: 3:39 - batch_cost: 1.9291 - reader cost: 0.0328 12/125 [=>............................] - ETA: 3:37 - batch_cost: 1.9252 - reader cost: 0.0301 13/125 [==>...........................] - ETA: 3:35 - batch_cost: 1.9222 - reader cost: 0.0278 14/125 [==>...........................] - ETA: 3:32 - batch_cost: 1.9170 - reader cost: 0.0258 15/125 [==>...........................] - ETA: 3:30 - batch_cost: 1.9141 - reader cost: 0.0241 16/125 [==>...........................] - ETA: 3:28 - batch_cost: 1.9119 - reader cost: 0.0226 17/125 [===>..........................] - ETA: 3:26 - batch_cost: 1.9101 - reader cost: 0.0213 18/125 [===>..........................] - ETA: 3:24 - batch_cost: 1.9075 - reader cost: 0.0201 19/125 [===>..........................] - ETA: 3:22 - batch_cost: 1.9062 - reader cost: 0.0191 20/125 [===>..........................] - ETA: 3:20 - batch_cost: 1.9045 - reader cost: 0.0181 21/125 [====>.........................] - ETA: 3:18 - batch_cost: 1.9046 - reader cost: 0.0173 22/125 [====>.........................] - ETA: 3:16 - batch_cost: 1.9034 - reader cost: 0.0165 23/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.9022 - reader cost: 0.0158 24/125 [====>.........................] - ETA: 3:12 - batch_cost: 1.9010 - reader cost: 0.0152 25/125 [=====>........................] - ETA: 3:09 - batch_cost: 1.8997 - reader cost: 0.0146 26/125 [=====>........................] - ETA: 3:07 - batch_cost: 1.8983 - reader cost: 0.0140 27/125 [=====>........................] - ETA: 3:05 - batch_cost: 1.8975 - reader cost: 0.0135 28/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.8971 - reader cost: 0.0130 29/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8961 - reader cost: 0.0126 30/125 [======>.......................] - ETA: 3:00 - batch_cost: 1.8950 - reader cost: 0.0122 31/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8940 - reader cost: 0.0118 32/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8935 - reader cost: 0.0114 33/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8926 - reader cost: 0.0111 34/125 [=======>......................] - ETA: 2:52 - batch_cost: 1.8921 - reader cost: 0.0108 35/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8914 - reader cost: 0.0105 36/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8907 - reader cost: 0.0102 37/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8899 - reader cost: 0.0099 38/125 [========>.....................] - ETA: 2:44 - batch_cost: 1.8893 - reader cost: 0.0096 39/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8887 - reader cost: 0.0094 40/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8880 - reader cost: 0.0092 41/125 [========>.....................] - ETA: 2:38 - batch_cost: 1.8876 - reader cost: 0.0090 42/125 [=========>....................] - ETA: 2:36 - batch_cost: 1.8869 - reader cost: 0.0087 43/125 [=========>....................] - ETA: 2:34 - batch_cost: 1.8865 - reader cost: 0.0085 44/125 [=========>....................] - ETA: 2:32 - batch_cost: 1.8861 - reader cost: 0.0084 45/125 [=========>....................] - ETA: 2:30 - batch_cost: 1.8855 - reader cost: 0.0082 46/125 [==========>...................] - ETA: 2:28 - batch_cost: 1.8850 - reader cost: 0.0080 47/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8846 - reader cost: 0.0078 48/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8841 - reader cost: 0.0077 49/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8838 - reader cost: 0.0075 50/125 [===========>..................] - ETA: 2:21 - batch_cost: 1.8835 - reader cost: 0.0074 51/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.8832 - reader cost: 0.0072 52/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.8829 - reader cost: 0.0071 53/125 [===========>..................] - ETA: 2:15 - batch_cost: 1.8826 - reader cost: 0.0070 54/125 [===========>..................] - ETA: 2:13 - batch_cost: 1.8824 - reader cost: 0.0068 55/125 [============>.................] - ETA: 2:11 - batch_cost: 1.8821 - reader cost: 0.0067 56/125 [============>.................] - ETA: 2:09 - 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[===============>..............] - ETA: 1:49 - batch_cost: 1.8826 - reader cost: 0.0056 68/125 [===============>..............] - ETA: 1:47 - batch_cost: 1.8822 - reader cost: 0.0055 69/125 [===============>..............] - ETA: 1:45 - batch_cost: 1.8819 - reader cost: 0.0054 70/125 [===============>..............] - ETA: 1:43 - batch_cost: 1.8819 - reader cost: 0.0053 71/125 [================>.............] - ETA: 1:41 - batch_cost: 1.8818 - reader cost: 0.0053 72/125 [================>.............] - ETA: 1:39 - batch_cost: 1.8815 - reader cost: 0.0052 73/125 [================>.............] - ETA: 1:37 - batch_cost: 1.8813 - reader cost: 0.0051 74/125 [================>.............] - ETA: 1:35 - batch_cost: 1.8811 - reader cost: 0.0051 75/125 [=================>............] - ETA: 1:34 - batch_cost: 1.8808 - reader cost: 0.0050 76/125 [=================>............] - ETA: 1:32 - batch_cost: 1.8807 - reader cost: 0.0049 77/125 [=================>............] - ETA: 1:30 - 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[====================>.........] - ETA: 1:09 - batch_cost: 1.8785 - reader cost: 0.0043 89/125 [====================>.........] - ETA: 1:07 - batch_cost: 1.8783 - reader cost: 0.0042 90/125 [====================>.........] - ETA: 1:05 - batch_cost: 1.8781 - reader cost: 0.0042 91/125 [====================>.........] - ETA: 1:03 - batch_cost: 1.8779 - reader cost: 0.0041 92/125 [=====================>........] - ETA: 1:01 - batch_cost: 1.8779 - reader cost: 0.0041 93/125 [=====================>........] - ETA: 1:00 - batch_cost: 1.8778 - reader cost: 0.0041 94/125 [=====================>........] - ETA: 58s - batch_cost: 1.8775 - reader cost: 0.0040  95/125 [=====================>........] - ETA: 56s - batch_cost: 1.8772 - reader cost: 0.0040 96/125 [======================>.......] - ETA: 54s - batch_cost: 1.8768 - reader cost: 0.0039 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8767 - reader cost: 0.0039 98/125 [======================>.......] - ETA: 50s - 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[=========================>....] - ETA: 30s - batch_cost: 1.8765 - reader cost: 0.0035 110/125 [=========================>....] - ETA: 28s - batch_cost: 1.8764 - reader cost: 0.0035 111/125 [=========================>....] - ETA: 26s - batch_cost: 1.8763 - reader cost: 0.0034 112/125 [=========================>....] - ETA: 24s - batch_cost: 1.8761 - reader cost: 0.0034 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8762 - reader cost: 0.0034 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8761 - reader cost: 0.0033 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8760 - reader cost: 0.0033 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8759 - reader cost: 0.0033 117/125 [===========================>..] - ETA: 15s - batch_cost: 1.8758 - reader cost: 0.0033 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8757 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8756 - reader cost: 0.0032 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8755 - reader cost: 0.0032  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8754 - reader cost: 0.0032 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8755 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8754 - reader cost: 0.0031 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8753 - reader cost: 0.0031 125/125 [==============================] - 234s 2s/step - batch_cost: 1.8753 - reader cost: 0.0031 2021-08-22 09:50:38 [INFO] [EVAL] #Images: 500 mIoU: 0.8081 Acc: 0.9651 Kappa: 0.9547 2021-08-22 09:50:38 [INFO] [EVAL] Class IoU: [0.9834 0.8647 0.9342 0.6193 0.6523 0.6809 0.7472 0.8153 0.9284 0.6195 0.9565 0.8445 0.6675 0.9589 0.8517 0.896 0.8335 0.7035 0.796 ] 2021-08-22 09:50:38 [INFO] [EVAL] Class Acc: [0.9901 0.9297 0.9613 0.8681 0.8404 0.8423 0.8443 0.914 0.9635 0.7688 0.9707 0.9079 0.8043 0.9761 0.9512 0.9311 0.9455 0.8372 0.8809] 2021-08-22 09:50:41 [INFO] [EVAL] The model with the best validation mIoU (0.8130) was saved at iter 56000. 2021-08-22 09:50:53 [INFO] [TRAIN] epoch: 162, iter: 60010/160000, loss: 0.0608, lr: 0.000037, batch_cost: 1.1931, reader_cost: 0.00057, ips: 1.6763 samples/sec | ETA 33:08:19 2021-08-22 09:51:05 [INFO] [TRAIN] epoch: 162, iter: 60020/160000, loss: 0.0672, lr: 0.000037, batch_cost: 1.1846, reader_cost: 0.00017, ips: 1.6883 samples/sec | ETA 32:53:57 2021-08-22 09:51:16 [INFO] [TRAIN] epoch: 162, iter: 60030/160000, loss: 0.0677, lr: 0.000037, batch_cost: 1.1874, reader_cost: 0.00017, ips: 1.6843 samples/sec | ETA 32:58:27 2021-08-22 09:51:28 [INFO] [TRAIN] epoch: 162, iter: 60040/160000, loss: 0.0680, lr: 0.000037, batch_cost: 1.1892, reader_cost: 0.00016, ips: 1.6818 samples/sec | ETA 33:01:14 2021-08-22 09:51:40 [INFO] [TRAIN] epoch: 162, iter: 60050/160000, loss: 0.0544, lr: 0.000037, batch_cost: 1.1869, reader_cost: 0.00017, ips: 1.6851 samples/sec | ETA 32:57:09 2021-08-22 09:51:52 [INFO] [TRAIN] epoch: 162, iter: 60060/160000, loss: 0.0820, lr: 0.000037, batch_cost: 1.1968, reader_cost: 0.00016, ips: 1.6711 samples/sec | ETA 33:13:31 2021-08-22 09:52:04 [INFO] [TRAIN] epoch: 162, iter: 60070/160000, loss: 0.0703, lr: 0.000037, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 33:05:24 2021-08-22 09:52:16 [INFO] [TRAIN] epoch: 162, iter: 60080/160000, loss: 0.0613, lr: 0.000037, batch_cost: 1.2021, reader_cost: 0.00016, ips: 1.6638 samples/sec | ETA 33:21:52 2021-08-22 09:52:28 [INFO] [TRAIN] epoch: 162, iter: 60090/160000, loss: 0.0788, lr: 0.000037, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6714 samples/sec | ETA 33:12:29 2021-08-22 09:52:40 [INFO] [TRAIN] epoch: 162, iter: 60100/160000, loss: 0.0625, lr: 0.000037, batch_cost: 1.1956, reader_cost: 0.00016, ips: 1.6729 samples/sec | ETA 33:10:35 2021-08-22 09:52:52 [INFO] [TRAIN] epoch: 162, iter: 60110/160000, loss: 0.0585, lr: 0.000037, batch_cost: 1.1918, reader_cost: 0.00016, ips: 1.6782 samples/sec | ETA 33:04:04 2021-08-22 09:53:04 [INFO] [TRAIN] epoch: 162, iter: 60120/160000, loss: 0.0795, lr: 0.000037, batch_cost: 1.1955, reader_cost: 0.00018, ips: 1.6729 samples/sec | ETA 33:10:10 2021-08-22 09:53:16 [INFO] [TRAIN] epoch: 162, iter: 60130/160000, loss: 0.0621, lr: 0.000037, batch_cost: 1.1835, reader_cost: 0.00018, ips: 1.6899 samples/sec | ETA 32:49:59 2021-08-22 09:53:28 [INFO] [TRAIN] epoch: 162, iter: 60140/160000, loss: 0.0716, lr: 0.000037, batch_cost: 1.1891, reader_cost: 0.00018, ips: 1.6819 samples/sec | ETA 32:59:07 2021-08-22 09:53:40 [INFO] [TRAIN] epoch: 162, iter: 60150/160000, loss: 0.0578, lr: 0.000037, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 32:56:23 2021-08-22 09:53:51 [INFO] [TRAIN] epoch: 162, iter: 60160/160000, loss: 0.0593, lr: 0.000037, batch_cost: 1.1936, reader_cost: 0.00016, ips: 1.6757 samples/sec | ETA 33:06:05 2021-08-22 09:54:03 [INFO] [TRAIN] epoch: 162, iter: 60170/160000, loss: 0.0612, lr: 0.000037, batch_cost: 1.1835, reader_cost: 0.00016, ips: 1.6899 samples/sec | ETA 32:49:07 2021-08-22 09:54:15 [INFO] [TRAIN] epoch: 162, iter: 60180/160000, loss: 0.0638, lr: 0.000037, batch_cost: 1.1867, reader_cost: 0.00016, ips: 1.6854 samples/sec | ETA 32:54:15 2021-08-22 09:54:27 [INFO] [TRAIN] epoch: 162, iter: 60190/160000, loss: 0.0652, lr: 0.000037, batch_cost: 1.1914, reader_cost: 0.00017, ips: 1.6787 samples/sec | ETA 33:01:52 2021-08-22 09:54:39 [INFO] [TRAIN] epoch: 162, iter: 60200/160000, loss: 0.0624, lr: 0.000037, batch_cost: 1.1890, reader_cost: 0.00016, ips: 1.6821 samples/sec | ETA 32:57:42 2021-08-22 09:54:51 [INFO] [TRAIN] epoch: 162, iter: 60210/160000, loss: 0.0735, lr: 0.000037, batch_cost: 1.1866, reader_cost: 0.00016, ips: 1.6855 samples/sec | ETA 32:53:28 2021-08-22 09:55:03 [INFO] [TRAIN] epoch: 162, iter: 60220/160000, loss: 0.0540, lr: 0.000037, batch_cost: 1.1844, reader_cost: 0.00016, ips: 1.6887 samples/sec | ETA 32:49:35 2021-08-22 09:55:15 [INFO] [TRAIN] epoch: 162, iter: 60230/160000, loss: 0.0586, lr: 0.000037, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 33:02:05 2021-08-22 09:55:26 [INFO] [TRAIN] epoch: 162, iter: 60240/160000, loss: 0.0657, lr: 0.000037, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 32:54:31 2021-08-22 09:55:38 [INFO] [TRAIN] epoch: 162, iter: 60250/160000, loss: 0.0620, lr: 0.000037, batch_cost: 1.1872, reader_cost: 0.00017, ips: 1.6847 samples/sec | ETA 32:53:38 2021-08-22 09:55:50 [INFO] [TRAIN] epoch: 162, iter: 60260/160000, loss: 0.0654, lr: 0.000037, batch_cost: 1.1647, reader_cost: 0.00013, ips: 1.7172 samples/sec | ETA 32:16:06 2021-08-22 09:56:04 [INFO] [TRAIN] epoch: 163, iter: 60270/160000, loss: 0.0630, lr: 0.000037, batch_cost: 1.3946, reader_cost: 0.18480, ips: 1.4341 samples/sec | ETA 38:38:07 2021-08-22 09:56:16 [INFO] [TRAIN] epoch: 163, iter: 60280/160000, loss: 0.0745, lr: 0.000037, batch_cost: 1.2031, reader_cost: 0.00062, ips: 1.6624 samples/sec | ETA 33:19:33 2021-08-22 09:56:28 [INFO] [TRAIN] epoch: 163, iter: 60290/160000, loss: 0.0681, lr: 0.000037, batch_cost: 1.2120, reader_cost: 0.00017, ips: 1.6502 samples/sec | ETA 33:34:05 2021-08-22 09:56:40 [INFO] [TRAIN] epoch: 163, iter: 60300/160000, loss: 0.0760, lr: 0.000037, batch_cost: 1.2034, reader_cost: 0.00016, ips: 1.6619 samples/sec | ETA 33:19:41 2021-08-22 09:56:52 [INFO] [TRAIN] epoch: 163, iter: 60310/160000, loss: 0.0578, lr: 0.000037, batch_cost: 1.2112, reader_cost: 0.00017, ips: 1.6512 samples/sec | ETA 33:32:25 2021-08-22 09:57:04 [INFO] [TRAIN] epoch: 163, iter: 60320/160000, loss: 0.0620, lr: 0.000037, batch_cost: 1.2095, reader_cost: 0.00017, ips: 1.6535 samples/sec | ETA 33:29:25 2021-08-22 09:57:16 [INFO] [TRAIN] epoch: 163, iter: 60330/160000, loss: 0.0617, lr: 0.000037, batch_cost: 1.1988, reader_cost: 0.00017, ips: 1.6683 samples/sec | ETA 33:11:26 2021-08-22 09:57:28 [INFO] [TRAIN] epoch: 163, iter: 60340/160000, loss: 0.0607, lr: 0.000037, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6778 samples/sec | ETA 32:59:58 2021-08-22 09:57:40 [INFO] [TRAIN] epoch: 163, iter: 60350/160000, loss: 0.0528, lr: 0.000037, batch_cost: 1.1967, reader_cost: 0.00017, ips: 1.6713 samples/sec | ETA 33:07:30 2021-08-22 09:57:52 [INFO] [TRAIN] epoch: 163, iter: 60360/160000, loss: 0.0596, lr: 0.000037, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 32:57:54 2021-08-22 09:58:04 [INFO] [TRAIN] epoch: 163, iter: 60370/160000, loss: 0.0799, lr: 0.000037, batch_cost: 1.1925, reader_cost: 0.00016, ips: 1.6771 samples/sec | ETA 33:00:12 2021-08-22 09:58:16 [INFO] [TRAIN] epoch: 163, iter: 60380/160000, loss: 0.0557, lr: 0.000037, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 32:59:02 2021-08-22 09:58:28 [INFO] [TRAIN] epoch: 163, iter: 60390/160000, loss: 0.0668, lr: 0.000037, batch_cost: 1.1897, reader_cost: 0.00017, ips: 1.6810 samples/sec | ETA 32:55:09 2021-08-22 09:58:40 [INFO] [TRAIN] epoch: 163, iter: 60400/160000, loss: 0.0697, lr: 0.000037, batch_cost: 1.1848, reader_cost: 0.00017, ips: 1.6881 samples/sec | ETA 32:46:42 2021-08-22 09:58:52 [INFO] [TRAIN] epoch: 163, iter: 60410/160000, loss: 0.0672, lr: 0.000037, batch_cost: 1.1962, reader_cost: 0.00017, ips: 1.6719 samples/sec | ETA 33:05:32 2021-08-22 09:59:04 [INFO] [TRAIN] epoch: 163, iter: 60420/160000, loss: 0.0689, lr: 0.000037, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 32:58:28 2021-08-22 09:59:16 [INFO] [TRAIN] epoch: 163, iter: 60430/160000, loss: 0.0572, lr: 0.000037, batch_cost: 1.1979, reader_cost: 0.00017, ips: 1.6695 samples/sec | ETA 33:07:59 2021-08-22 09:59:27 [INFO] [TRAIN] epoch: 163, iter: 60440/160000, loss: 0.0553, lr: 0.000037, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 32:52:05 2021-08-22 09:59:39 [INFO] [TRAIN] epoch: 163, iter: 60450/160000, loss: 0.1115, lr: 0.000037, batch_cost: 1.1848, reader_cost: 0.00017, ips: 1.6881 samples/sec | ETA 32:45:46 2021-08-22 09:59:51 [INFO] [TRAIN] epoch: 163, iter: 60460/160000, loss: 0.0919, lr: 0.000037, batch_cost: 1.1866, reader_cost: 0.00016, ips: 1.6854 samples/sec | ETA 32:48:37 2021-08-22 10:00:03 [INFO] [TRAIN] epoch: 163, iter: 60470/160000, loss: 0.0619, lr: 0.000037, batch_cost: 1.1875, reader_cost: 0.00017, ips: 1.6843 samples/sec | ETA 32:49:47 2021-08-22 10:00:15 [INFO] [TRAIN] epoch: 163, iter: 60480/160000, loss: 0.0782, lr: 0.000037, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6808 samples/sec | ETA 32:53:42 2021-08-22 10:00:27 [INFO] [TRAIN] epoch: 163, iter: 60490/160000, loss: 0.0709, lr: 0.000037, batch_cost: 1.1926, reader_cost: 0.00017, ips: 1.6770 samples/sec | ETA 32:57:54 2021-08-22 10:00:39 [INFO] [TRAIN] epoch: 163, iter: 60500/160000, loss: 0.0511, lr: 0.000037, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6799 samples/sec | ETA 32:54:19 2021-08-22 10:00:51 [INFO] [TRAIN] epoch: 163, iter: 60510/160000, loss: 0.0589, lr: 0.000037, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 32:58:14 2021-08-22 10:01:03 [INFO] [TRAIN] epoch: 163, iter: 60520/160000, loss: 0.0547, lr: 0.000037, batch_cost: 1.1974, reader_cost: 0.00017, ips: 1.6703 samples/sec | ETA 33:05:19 2021-08-22 10:01:15 [INFO] [TRAIN] epoch: 163, iter: 60530/160000, loss: 0.0582, lr: 0.000037, batch_cost: 1.1919, reader_cost: 0.00016, ips: 1.6780 samples/sec | ETA 32:56:01 2021-08-22 10:01:27 [INFO] [TRAIN] epoch: 163, iter: 60540/160000, loss: 0.0678, lr: 0.000037, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 32:57:07 2021-08-22 10:01:38 [INFO] [TRAIN] epoch: 163, iter: 60550/160000, loss: 0.0585, lr: 0.000037, batch_cost: 1.1926, reader_cost: 0.00018, ips: 1.6770 samples/sec | ETA 32:56:41 2021-08-22 10:01:50 [INFO] [TRAIN] epoch: 163, iter: 60560/160000, loss: 0.0719, lr: 0.000037, batch_cost: 1.1925, reader_cost: 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10:55:08 [INFO] [TRAIN] epoch: 170, iter: 63230/160000, loss: 0.0702, lr: 0.000036, batch_cost: 1.1859, reader_cost: 0.00016, ips: 1.6865 samples/sec | ETA 31:52:39 2021-08-22 10:55:20 [INFO] [TRAIN] epoch: 170, iter: 63240/160000, loss: 0.0706, lr: 0.000036, batch_cost: 1.1744, reader_cost: 0.00012, ips: 1.7030 samples/sec | ETA 31:33:51 2021-08-22 10:55:34 [INFO] [TRAIN] epoch: 171, iter: 63250/160000, loss: 0.0727, lr: 0.000036, batch_cost: 1.4127, reader_cost: 0.16872, ips: 1.4157 samples/sec | ETA 37:58:01 2021-08-22 10:55:46 [INFO] [TRAIN] epoch: 171, iter: 63260/160000, loss: 0.0789, lr: 0.000036, batch_cost: 1.2000, reader_cost: 0.00064, ips: 1.6667 samples/sec | ETA 32:14:48 2021-08-22 10:55:58 [INFO] [TRAIN] epoch: 171, iter: 63270/160000, loss: 0.0641, lr: 0.000036, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6808 samples/sec | ETA 31:58:18 2021-08-22 10:56:10 [INFO] [TRAIN] epoch: 171, iter: 63280/160000, loss: 0.0833, lr: 0.000036, batch_cost: 1.2024, reader_cost: 0.00018, ips: 1.6633 samples/sec | ETA 32:18:17 2021-08-22 10:56:22 [INFO] [TRAIN] epoch: 171, iter: 63290/160000, loss: 0.0581, lr: 0.000036, batch_cost: 1.2176, reader_cost: 0.00019, ips: 1.6426 samples/sec | ETA 32:42:29 2021-08-22 10:56:34 [INFO] [TRAIN] epoch: 171, iter: 63300/160000, loss: 0.0664, lr: 0.000036, batch_cost: 1.2044, reader_cost: 0.00018, ips: 1.6605 samples/sec | ETA 32:21:09 2021-08-22 10:56:46 [INFO] [TRAIN] epoch: 171, iter: 63310/160000, loss: 0.0647, lr: 0.000036, batch_cost: 1.2028, reader_cost: 0.00019, ips: 1.6628 samples/sec | ETA 32:18:17 2021-08-22 10:56:58 [INFO] [TRAIN] epoch: 171, iter: 63320/160000, loss: 0.0527, lr: 0.000036, batch_cost: 1.2060, reader_cost: 0.00020, ips: 1.6584 samples/sec | ETA 32:23:12 2021-08-22 10:57:10 [INFO] [TRAIN] epoch: 171, iter: 63330/160000, loss: 0.0639, lr: 0.000036, batch_cost: 1.2004, reader_cost: 0.00018, ips: 1.6661 samples/sec | ETA 32:14:02 2021-08-22 10:57:22 [INFO] [TRAIN] epoch: 171, iter: 63340/160000, loss: 0.0664, lr: 0.000036, batch_cost: 1.1922, reader_cost: 0.00018, ips: 1.6776 samples/sec | ETA 32:00:36 2021-08-22 10:57:34 [INFO] [TRAIN] epoch: 171, iter: 63350/160000, loss: 0.0662, lr: 0.000036, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6788 samples/sec | ETA 31:59:03 2021-08-22 10:57:46 [INFO] [TRAIN] epoch: 171, iter: 63360/160000, loss: 0.0609, lr: 0.000036, batch_cost: 1.1888, reader_cost: 0.00017, ips: 1.6824 samples/sec | ETA 31:54:44 2021-08-22 10:57:58 [INFO] [TRAIN] epoch: 171, iter: 63370/160000, loss: 0.0590, lr: 0.000036, batch_cost: 1.1949, reader_cost: 0.00017, ips: 1.6738 samples/sec | ETA 32:04:23 2021-08-22 10:58:10 [INFO] [TRAIN] epoch: 171, iter: 63380/160000, loss: 0.0505, lr: 0.000036, batch_cost: 1.1947, reader_cost: 0.00017, ips: 1.6740 samples/sec | ETA 32:03:54 2021-08-22 10:58:22 [INFO] [TRAIN] epoch: 171, iter: 63390/160000, loss: 0.0633, lr: 0.000036, batch_cost: 1.1892, reader_cost: 0.00017, ips: 1.6817 samples/sec | ETA 31:54:52 2021-08-22 10:58:33 [INFO] [TRAIN] epoch: 171, iter: 63400/160000, loss: 0.0632, lr: 0.000036, batch_cost: 1.1794, reader_cost: 0.00017, ips: 1.6957 samples/sec | ETA 31:38:53 2021-08-22 10:58:45 [INFO] [TRAIN] epoch: 171, iter: 63410/160000, loss: 0.0547, lr: 0.000036, batch_cost: 1.1871, reader_cost: 0.00018, ips: 1.6848 samples/sec | ETA 31:51:03 2021-08-22 10:58:57 [INFO] [TRAIN] epoch: 171, iter: 63420/160000, loss: 0.0597, lr: 0.000036, batch_cost: 1.1992, reader_cost: 0.00017, ips: 1.6678 samples/sec | ETA 32:10:18 2021-08-22 10:59:09 [INFO] [TRAIN] epoch: 171, iter: 63430/160000, loss: 0.0586, lr: 0.000036, batch_cost: 1.1961, reader_cost: 0.00017, ips: 1.6721 samples/sec | ETA 32:05:10 2021-08-22 10:59:21 [INFO] [TRAIN] epoch: 171, iter: 63440/160000, loss: 0.0672, lr: 0.000036, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 31:56:40 2021-08-22 10:59:33 [INFO] [TRAIN] epoch: 171, iter: 63450/160000, loss: 0.0697, lr: 0.000036, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 31:59:54 2021-08-22 10:59:45 [INFO] [TRAIN] epoch: 171, iter: 63460/160000, loss: 0.0546, lr: 0.000036, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6719 samples/sec | ETA 32:04:46 2021-08-22 10:59:57 [INFO] [TRAIN] epoch: 171, iter: 63470/160000, loss: 0.0605, lr: 0.000036, batch_cost: 1.1975, reader_cost: 0.00018, ips: 1.6701 samples/sec | ETA 32:06:35 2021-08-22 11:00:09 [INFO] [TRAIN] epoch: 171, iter: 63480/160000, loss: 0.0708, lr: 0.000036, batch_cost: 1.1869, reader_cost: 0.00017, ips: 1.6851 samples/sec | ETA 31:49:17 2021-08-22 11:00:21 [INFO] [TRAIN] epoch: 171, iter: 63490/160000, loss: 0.0619, lr: 0.000036, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6829 samples/sec | ETA 31:51:37 2021-08-22 11:00:33 [INFO] [TRAIN] epoch: 171, iter: 63500/160000, loss: 0.0585, lr: 0.000036, batch_cost: 1.1930, reader_cost: 0.00018, ips: 1.6765 samples/sec | ETA 31:58:43 2021-08-22 11:00:45 [INFO] [TRAIN] epoch: 171, iter: 63510/160000, loss: 0.0645, lr: 0.000036, batch_cost: 1.1976, reader_cost: 0.00017, ips: 1.6700 samples/sec | ETA 32:05:54 2021-08-22 11:00:57 [INFO] [TRAIN] epoch: 171, iter: 63520/160000, loss: 0.0582, lr: 0.000036, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6765 samples/sec | ETA 31:58:13 2021-08-22 11:01:09 [INFO] [TRAIN] epoch: 171, iter: 63530/160000, loss: 0.0758, lr: 0.000036, batch_cost: 1.1951, reader_cost: 0.00018, ips: 1.6735 samples/sec | ETA 32:01:30 2021-08-22 11:01:21 [INFO] [TRAIN] epoch: 171, iter: 63540/160000, loss: 0.0853, lr: 0.000036, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 31:51:04 2021-08-22 11:01:32 [INFO] [TRAIN] epoch: 171, iter: 63550/160000, loss: 0.0734, lr: 0.000036, batch_cost: 1.1968, reader_cost: 0.00017, ips: 1.6711 samples/sec | ETA 32:03:53 2021-08-22 11:01:44 [INFO] [TRAIN] epoch: 171, iter: 63560/160000, loss: 0.0616, lr: 0.000036, batch_cost: 1.1852, reader_cost: 0.00017, ips: 1.6875 samples/sec | ETA 31:45:02 2021-08-22 11:01:56 [INFO] [TRAIN] epoch: 171, iter: 63570/160000, loss: 0.0773, lr: 0.000036, batch_cost: 1.1860, reader_cost: 0.00017, ips: 1.6864 samples/sec | ETA 31:46:01 2021-08-22 11:02:08 [INFO] [TRAIN] epoch: 171, iter: 63580/160000, loss: 0.0653, lr: 0.000036, batch_cost: 1.1886, reader_cost: 0.00017, ips: 1.6826 samples/sec | ETA 31:50:05 2021-08-22 11:02:20 [INFO] [TRAIN] epoch: 171, iter: 63590/160000, loss: 0.0544, lr: 0.000036, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6839 samples/sec | ETA 31:48:29 2021-08-22 11:02:32 [INFO] [TRAIN] epoch: 171, iter: 63600/160000, loss: 0.0668, lr: 0.000036, batch_cost: 1.1875, reader_cost: 0.00017, ips: 1.6842 samples/sec | ETA 31:47:53 2021-08-22 11:02:43 [INFO] [TRAIN] epoch: 171, iter: 63610/160000, loss: 0.0602, lr: 0.000036, batch_cost: 1.1635, reader_cost: 0.00012, ips: 1.7189 samples/sec | ETA 31:09:13 2021-08-22 11:02:57 [INFO] [TRAIN] epoch: 172, iter: 63620/160000, loss: 0.0634, lr: 0.000036, batch_cost: 1.3978, reader_cost: 0.19215, ips: 1.4308 samples/sec | ETA 37:25:18 2021-08-22 11:03:09 [INFO] [TRAIN] epoch: 172, iter: 63630/160000, loss: 0.0527, lr: 0.000036, batch_cost: 1.1928, reader_cost: 0.00067, ips: 1.6767 samples/sec | ETA 31:55:51 2021-08-22 11:03:21 [INFO] [TRAIN] epoch: 172, iter: 63640/160000, loss: 0.0557, lr: 0.000036, batch_cost: 1.1962, reader_cost: 0.00018, ips: 1.6720 samples/sec | ETA 32:01:02 2021-08-22 11:03:33 [INFO] [TRAIN] epoch: 172, iter: 63650/160000, loss: 0.0543, lr: 0.000036, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6771 samples/sec | ETA 31:55:01 2021-08-22 11:03:45 [INFO] [TRAIN] epoch: 172, iter: 63660/160000, loss: 0.0551, lr: 0.000036, batch_cost: 1.1985, reader_cost: 0.00017, ips: 1.6688 samples/sec | ETA 32:04:20 2021-08-22 11:03:57 [INFO] [TRAIN] epoch: 172, iter: 63670/160000, loss: 0.0751, lr: 0.000036, batch_cost: 1.1936, reader_cost: 0.00017, ips: 1.6756 samples/sec | ETA 31:56:20 2021-08-22 11:04:09 [INFO] [TRAIN] epoch: 172, iter: 63680/160000, loss: 0.0598, lr: 0.000036, batch_cost: 1.1891, reader_cost: 0.00018, ips: 1.6819 samples/sec | ETA 31:48:55 2021-08-22 11:04:21 [INFO] [TRAIN] epoch: 172, iter: 63690/160000, loss: 0.0649, lr: 0.000036, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6826 samples/sec | ETA 31:48:00 2021-08-22 11:04:33 [INFO] [TRAIN] epoch: 172, iter: 63700/160000, loss: 0.0583, lr: 0.000036, batch_cost: 1.2001, reader_cost: 0.00017, ips: 1.6665 samples/sec | ETA 32:06:08 2021-08-22 11:04:45 [INFO] [TRAIN] epoch: 172, iter: 63710/160000, loss: 0.0654, lr: 0.000036, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6788 samples/sec | ETA 31:51:53 2021-08-22 11:04:57 [INFO] [TRAIN] epoch: 172, iter: 63720/160000, loss: 0.0744, lr: 0.000036, batch_cost: 1.1960, reader_cost: 0.00017, ips: 1.6723 samples/sec | ETA 31:59:07 2021-08-22 11:05:09 [INFO] [TRAIN] epoch: 172, iter: 63730/160000, loss: 0.0751, lr: 0.000036, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6796 samples/sec | ETA 31:50:33 2021-08-22 11:05:21 [INFO] [TRAIN] epoch: 172, iter: 63740/160000, loss: 0.0565, lr: 0.000036, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6834 samples/sec | ETA 31:46:01 2021-08-22 11:05:33 [INFO] [TRAIN] epoch: 172, iter: 63750/160000, loss: 0.0749, lr: 0.000036, batch_cost: 1.1874, reader_cost: 0.00016, ips: 1.6843 samples/sec | ETA 31:44:51 2021-08-22 11:05:44 [INFO] [TRAIN] epoch: 172, iter: 63760/160000, loss: 0.0818, lr: 0.000036, batch_cost: 1.1860, reader_cost: 0.00017, ips: 1.6863 samples/sec | ETA 31:42:24 2021-08-22 11:05:56 [INFO] [TRAIN] epoch: 172, iter: 63770/160000, loss: 0.0688, lr: 0.000036, batch_cost: 1.1905, reader_cost: 0.00016, ips: 1.6799 samples/sec | ETA 31:49:26 2021-08-22 11:06:08 [INFO] [TRAIN] epoch: 172, iter: 63780/160000, loss: 0.0606, lr: 0.000036, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6797 samples/sec | ETA 31:49:28 2021-08-22 11:06:20 [INFO] [TRAIN] epoch: 172, iter: 63790/160000, loss: 0.0583, lr: 0.000036, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6744 samples/sec | ETA 31:55:18 2021-08-22 11:06:32 [INFO] [TRAIN] epoch: 172, iter: 63800/160000, loss: 0.0791, lr: 0.000036, batch_cost: 1.1867, reader_cost: 0.00017, ips: 1.6854 samples/sec | ETA 31:42:38 2021-08-22 11:06:44 [INFO] [TRAIN] epoch: 172, iter: 63810/160000, loss: 0.0619, lr: 0.000036, batch_cost: 1.1900, reader_cost: 0.00017, ips: 1.6807 samples/sec | ETA 31:47:45 2021-08-22 11:06:56 [INFO] [TRAIN] epoch: 172, iter: 63820/160000, loss: 0.0680, lr: 0.000036, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6791 samples/sec | ETA 31:49:21 2021-08-22 11:07:08 [INFO] [TRAIN] epoch: 172, iter: 63830/160000, loss: 0.0825, lr: 0.000036, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6816 samples/sec | ETA 31:46:19 2021-08-22 11:07:20 [INFO] [TRAIN] epoch: 172, iter: 63840/160000, loss: 0.0766, lr: 0.000036, batch_cost: 1.1951, reader_cost: 0.00018, ips: 1.6735 samples/sec | ETA 31:55:23 2021-08-22 11:07:32 [INFO] [TRAIN] epoch: 172, iter: 63850/160000, loss: 0.0606, lr: 0.000036, batch_cost: 1.1961, reader_cost: 0.00017, ips: 1.6721 samples/sec | ETA 31:56:42 2021-08-22 11:07:44 [INFO] [TRAIN] epoch: 172, iter: 63860/160000, loss: 0.0721, lr: 0.000036, batch_cost: 1.1895, reader_cost: 0.00017, ips: 1.6814 samples/sec | ETA 31:45:57 2021-08-22 11:07:55 [INFO] [TRAIN] epoch: 172, iter: 63870/160000, loss: 0.0694, lr: 0.000036, batch_cost: 1.1971, reader_cost: 0.00017, ips: 1.6707 samples/sec | ETA 31:57:57 2021-08-22 11:08:08 [INFO] [TRAIN] epoch: 172, iter: 63880/160000, loss: 0.0600, lr: 0.000036, batch_cost: 1.2059, reader_cost: 0.00017, ips: 1.6585 samples/sec | ETA 32:11:50 2021-08-22 11:08:20 [INFO] [TRAIN] epoch: 172, iter: 63890/160000, loss: 0.0619, lr: 0.000036, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6714 samples/sec | ETA 31:56:43 2021-08-22 11:08:31 [INFO] [TRAIN] epoch: 172, iter: 63900/160000, loss: 0.0852, lr: 0.000036, batch_cost: 1.1900, reader_cost: 0.00017, ips: 1.6807 samples/sec | ETA 31:45:55 2021-08-22 11:08:43 [INFO] [TRAIN] epoch: 172, iter: 63910/160000, loss: 0.0723, lr: 0.000036, batch_cost: 1.1981, reader_cost: 0.00017, ips: 1.6694 samples/sec | ETA 31:58:42 2021-08-22 11:08:55 [INFO] [TRAIN] epoch: 172, iter: 63920/160000, loss: 0.0662, lr: 0.000036, batch_cost: 1.2006, reader_cost: 0.00017, ips: 1.6658 samples/sec | ETA 32:02:34 2021-08-22 11:09:07 [INFO] [TRAIN] epoch: 172, iter: 63930/160000, loss: 0.0821, lr: 0.000036, batch_cost: 1.2042, reader_cost: 0.00017, ips: 1.6608 samples/sec | ETA 32:08:12 2021-08-22 11:09:19 [INFO] [TRAIN] epoch: 172, iter: 63940/160000, loss: 0.0636, lr: 0.000036, batch_cost: 1.1971, reader_cost: 0.00017, ips: 1.6707 samples/sec | ETA 31:56:34 2021-08-22 11:09:31 [INFO] [TRAIN] epoch: 172, iter: 63950/160000, loss: 0.0564, lr: 0.000036, batch_cost: 1.1958, reader_cost: 0.00017, ips: 1.6725 samples/sec | ETA 31:54:17 2021-08-22 11:09:43 [INFO] [TRAIN] epoch: 172, iter: 63960/160000, loss: 0.0686, lr: 0.000036, batch_cost: 1.1867, reader_cost: 0.00017, ips: 1.6853 samples/sec | ETA 31:39:35 2021-08-22 11:09:55 [INFO] [TRAIN] epoch: 172, iter: 63970/160000, loss: 0.0588, lr: 0.000036, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6788 samples/sec | ETA 31:46:41 2021-08-22 11:10:07 [INFO] [TRAIN] epoch: 172, iter: 63980/160000, loss: 0.0737, lr: 0.000036, batch_cost: 1.1694, reader_cost: 0.00013, ips: 1.7102 samples/sec | ETA 31:11:27 2021-08-22 11:10:21 [INFO] [TRAIN] epoch: 173, iter: 63990/160000, loss: 0.0688, lr: 0.000036, batch_cost: 1.3941, reader_cost: 0.16166, ips: 1.4346 samples/sec | ETA 37:10:47 2021-08-22 11:10:33 [INFO] [TRAIN] epoch: 173, iter: 64000/160000, loss: 0.0568, lr: 0.000036, batch_cost: 1.1948, reader_cost: 0.00077, ips: 1.6739 samples/sec | ETA 31:51:39 2021-08-22 11:10:33 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:42 - batch_cost: 2.2814 - reader cost: 0.3542 2/125 [..............................] - ETA: 4:16 - batch_cost: 2.0847 - reader cost: 0.1772 3/125 [..............................] - ETA: 4:04 - batch_cost: 2.0072 - reader cost: 0.1182 4/125 [..............................] - ETA: 3:58 - batch_cost: 1.9712 - reader cost: 0.0887 5/125 [>.............................] - ETA: 3:54 - batch_cost: 1.9499 - reader cost: 0.0710 6/125 [>.............................] - ETA: 3:50 - batch_cost: 1.9327 - reader cost: 0.0592 7/125 [>.............................] - ETA: 3:46 - batch_cost: 1.9214 - reader cost: 0.0507 8/125 [>.............................] - ETA: 3:43 - batch_cost: 1.9113 - reader cost: 0.0444 9/125 [=>............................] - ETA: 3:41 - batch_cost: 1.9063 - reader cost: 0.0395 10/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9022 - reader cost: 0.0356 11/125 [=>............................] - ETA: 3:36 - batch_cost: 1.9000 - reader cost: 0.0324 12/125 [=>............................] - ETA: 3:34 - batch_cost: 1.8997 - reader cost: 0.0297 13/125 [==>...........................] - ETA: 3:32 - batch_cost: 1.8973 - reader cost: 0.0274 14/125 [==>...........................] - ETA: 3:30 - batch_cost: 1.8971 - reader cost: 0.0255 15/125 [==>...........................] - ETA: 3:28 - batch_cost: 1.8958 - reader cost: 0.0238 16/125 [==>...........................] - ETA: 3:26 - batch_cost: 1.8938 - reader cost: 0.0223 17/125 [===>..........................] - ETA: 3:24 - batch_cost: 1.8911 - reader cost: 0.0210 18/125 [===>..........................] - ETA: 3:22 - batch_cost: 1.8886 - reader cost: 0.0198 19/125 [===>..........................] - ETA: 3:20 - batch_cost: 1.8877 - reader cost: 0.0188 20/125 [===>..........................] - ETA: 3:17 - batch_cost: 1.8854 - reader cost: 0.0179 21/125 [====>.........................] - ETA: 3:15 - batch_cost: 1.8837 - reader cost: 0.0170 22/125 [====>.........................] - ETA: 3:13 - batch_cost: 1.8817 - reader cost: 0.0163 23/125 [====>.........................] - ETA: 3:11 - batch_cost: 1.8807 - reader cost: 0.0156 24/125 [====>.........................] - ETA: 3:09 - batch_cost: 1.8791 - reader cost: 0.0149 25/125 [=====>........................] - ETA: 3:07 - batch_cost: 1.8776 - reader cost: 0.0143 26/125 [=====>........................] - ETA: 3:05 - batch_cost: 1.8756 - reader cost: 0.0138 27/125 [=====>........................] - ETA: 3:03 - batch_cost: 1.8747 - reader cost: 0.0133 28/125 [=====>........................] - ETA: 3:01 - batch_cost: 1.8741 - reader cost: 0.0128 29/125 [=====>........................] - ETA: 2:59 - batch_cost: 1.8742 - reader cost: 0.0124 30/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8735 - reader cost: 0.0120 31/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8727 - reader cost: 0.0116 32/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8721 - reader cost: 0.0112 33/125 [======>.......................] - ETA: 2:52 - batch_cost: 1.8710 - reader cost: 0.0109 34/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8702 - reader cost: 0.0106 35/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8696 - reader cost: 0.0103 36/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8693 - reader cost: 0.0100 37/125 [=======>......................] - ETA: 2:44 - batch_cost: 1.8683 - reader cost: 0.0097 38/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8682 - reader cost: 0.0095 39/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8676 - reader cost: 0.0093 40/125 [========>.....................] - ETA: 2:38 - batch_cost: 1.8673 - reader cost: 0.0090 41/125 [========>.....................] - ETA: 2:36 - batch_cost: 1.8673 - reader cost: 0.0088 42/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.8675 - reader cost: 0.0086 43/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.8672 - reader cost: 0.0084 44/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8668 - reader cost: 0.0082 45/125 [=========>....................] - ETA: 2:29 - batch_cost: 1.8662 - reader cost: 0.0080 46/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8658 - reader cost: 0.0079 47/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8646 - reader cost: 0.0077 48/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8647 - reader cost: 0.0076 49/125 [==========>...................] - ETA: 2:21 - batch_cost: 1.8641 - reader cost: 0.0074 50/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.8639 - reader cost: 0.0073 51/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.8639 - reader cost: 0.0071 52/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8630 - reader cost: 0.0070 53/125 [===========>..................] - ETA: 2:14 - batch_cost: 1.8626 - reader cost: 0.0069 54/125 [===========>..................] - ETA: 2:12 - batch_cost: 1.8619 - reader cost: 0.0067 55/125 [============>.................] - ETA: 2:10 - batch_cost: 1.8616 - reader cost: 0.0066 56/125 [============>.................] - ETA: 2:08 - batch_cost: 1.8615 - reader cost: 0.0065 57/125 [============>.................] - ETA: 2:06 - batch_cost: 1.8610 - reader cost: 0.0064 58/125 [============>.................] - ETA: 2:04 - batch_cost: 1.8602 - reader cost: 0.0063 59/125 [=============>................] - ETA: 2:02 - batch_cost: 1.8605 - reader cost: 0.0062 60/125 [=============>................] - ETA: 2:00 - batch_cost: 1.8606 - reader cost: 0.0061 61/125 [=============>................] - ETA: 1:59 - batch_cost: 1.8609 - reader cost: 0.0060 62/125 [=============>................] - ETA: 1:57 - batch_cost: 1.8610 - reader cost: 0.0059 63/125 [==============>...............] - ETA: 1:55 - batch_cost: 1.8610 - reader cost: 0.0058 64/125 [==============>...............] - ETA: 1:53 - batch_cost: 1.8610 - reader cost: 0.0057 65/125 [==============>...............] - ETA: 1:51 - 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[=================>............] - ETA: 1:31 - batch_cost: 1.8624 - reader cost: 0.0048 77/125 [=================>............] - ETA: 1:29 - batch_cost: 1.8623 - reader cost: 0.0048 78/125 [=================>............] - ETA: 1:27 - batch_cost: 1.8627 - reader cost: 0.0047 79/125 [=================>............] - ETA: 1:25 - batch_cost: 1.8628 - reader cost: 0.0047 80/125 [==================>...........] - ETA: 1:23 - batch_cost: 1.8632 - reader cost: 0.0046 81/125 [==================>...........] - ETA: 1:21 - batch_cost: 1.8632 - reader cost: 0.0045 82/125 [==================>...........] - ETA: 1:20 - batch_cost: 1.8634 - reader cost: 0.0045 83/125 [==================>...........] - ETA: 1:18 - batch_cost: 1.8636 - reader cost: 0.0044 84/125 [===================>..........] - ETA: 1:16 - batch_cost: 1.8639 - reader cost: 0.0044 85/125 [===================>..........] - ETA: 1:14 - batch_cost: 1.8640 - reader cost: 0.0043 86/125 [===================>..........] - ETA: 1:12 - batch_cost: 1.8640 - reader cost: 0.0043 87/125 [===================>..........] - ETA: 1:10 - batch_cost: 1.8640 - reader cost: 0.0042 88/125 [====================>.........] - ETA: 1:08 - batch_cost: 1.8640 - reader cost: 0.0042 89/125 [====================>.........] - ETA: 1:07 - batch_cost: 1.8642 - reader cost: 0.0042 90/125 [====================>.........] - ETA: 1:05 - batch_cost: 1.8643 - reader cost: 0.0041 91/125 [====================>.........] - ETA: 1:03 - batch_cost: 1.8644 - reader cost: 0.0041 92/125 [=====================>........] - ETA: 1:01 - batch_cost: 1.8644 - reader cost: 0.0040 93/125 [=====================>........] - ETA: 59s - batch_cost: 1.8647 - reader cost: 0.0040  94/125 [=====================>........] - ETA: 57s - batch_cost: 1.8647 - reader cost: 0.0039 95/125 [=====================>........] - ETA: 55s - batch_cost: 1.8646 - reader cost: 0.0039 96/125 [======================>.......] - ETA: 54s - batch_cost: 1.8646 - reader cost: 0.0039 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8647 - reader cost: 0.0038 98/125 [======================>.......] - ETA: 50s - batch_cost: 1.8649 - reader cost: 0.0038 99/125 [======================>.......] - ETA: 48s - batch_cost: 1.8650 - reader cost: 0.0038 100/125 [=======================>......] - ETA: 46s - batch_cost: 1.8646 - reader cost: 0.0037 101/125 [=======================>......] - ETA: 44s - batch_cost: 1.8649 - reader cost: 0.0037 102/125 [=======================>......] - ETA: 42s - batch_cost: 1.8652 - reader cost: 0.0036 103/125 [=======================>......] - ETA: 41s - batch_cost: 1.8653 - reader cost: 0.0036 104/125 [=======================>......] - ETA: 39s - batch_cost: 1.8656 - reader cost: 0.0036 105/125 [========================>.....] - ETA: 37s - batch_cost: 1.8659 - reader cost: 0.0035 106/125 [========================>.....] - ETA: 35s - batch_cost: 1.8662 - reader cost: 0.0035 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8663 - reader cost: 0.0035 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8662 - reader cost: 0.0035 109/125 [=========================>....] - ETA: 29s - batch_cost: 1.8663 - reader cost: 0.0034 110/125 [=========================>....] - ETA: 28s - batch_cost: 1.8666 - reader cost: 0.0034 111/125 [=========================>....] - ETA: 26s - batch_cost: 1.8665 - reader cost: 0.0034 112/125 [=========================>....] - ETA: 24s - batch_cost: 1.8666 - reader cost: 0.0033 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8666 - reader cost: 0.0033 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8664 - reader cost: 0.0033 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8669 - reader cost: 0.0033 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8669 - reader cost: 0.0032 117/125 [===========================>..] - ETA: 14s - batch_cost: 1.8669 - reader cost: 0.0032 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8666 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8671 - reader cost: 0.0032 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8671 - reader cost: 0.0031  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8671 - reader cost: 0.0031 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8670 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8671 - reader cost: 0.0031 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8669 - reader cost: 0.0030 125/125 [==============================] - 233s 2s/step - batch_cost: 1.8666 - reader cost: 0.0030 2021-08-22 11:14:26 [INFO] [EVAL] #Images: 500 mIoU: 0.8108 Acc: 0.9646 Kappa: 0.9541 2021-08-22 11:14:26 [INFO] [EVAL] Class IoU: [0.982 0.8583 0.9319 0.572 0.64 0.6837 0.7483 0.8162 0.9307 0.6705 0.9542 0.839 0.649 0.958 0.8669 0.9171 0.8698 0.7212 0.797 ] 2021-08-22 11:14:26 [INFO] [EVAL] Class Acc: [0.993 0.9141 0.9593 0.8976 0.841 0.8301 0.8665 0.915 0.9585 0.8275 0.9748 0.9021 0.7977 0.9761 0.9592 0.9576 0.9555 0.8591 0.8682] 2021-08-22 11:14:29 [INFO] [EVAL] The model with the best validation mIoU (0.8130) was saved at iter 56000. 2021-08-22 11:14:40 [INFO] [TRAIN] epoch: 173, iter: 64010/160000, loss: 0.0803, lr: 0.000036, batch_cost: 1.1859, reader_cost: 0.00058, ips: 1.6865 samples/sec | ETA 31:37:15 2021-08-22 11:14:52 [INFO] [TRAIN] epoch: 173, iter: 64020/160000, loss: 0.0608, lr: 0.000036, batch_cost: 1.1948, reader_cost: 0.00018, ips: 1.6739 samples/sec | ETA 31:51:15 2021-08-22 11:15:04 [INFO] [TRAIN] epoch: 173, iter: 64030/160000, loss: 0.0674, lr: 0.000036, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 31:47:50 2021-08-22 11:15:16 [INFO] [TRAIN] epoch: 173, iter: 64040/160000, loss: 0.0722, lr: 0.000036, batch_cost: 1.2068, reader_cost: 0.00018, ips: 1.6573 samples/sec | ETA 32:09:59 2021-08-22 11:15:28 [INFO] [TRAIN] epoch: 173, iter: 64050/160000, loss: 0.0837, lr: 0.000036, batch_cost: 1.2046, reader_cost: 0.00019, ips: 1.6602 samples/sec | ETA 32:06:25 2021-08-22 11:15:40 [INFO] [TRAIN] epoch: 173, iter: 64060/160000, loss: 0.1244, lr: 0.000036, batch_cost: 1.2023, reader_cost: 0.00019, ips: 1.6634 samples/sec | ETA 32:02:33 2021-08-22 11:15:52 [INFO] [TRAIN] epoch: 173, iter: 64070/160000, loss: 0.0878, lr: 0.000036, batch_cost: 1.2015, reader_cost: 0.00019, ips: 1.6646 samples/sec | ETA 32:00:59 2021-08-22 11:16:05 [INFO] [TRAIN] epoch: 173, iter: 64080/160000, loss: 0.0617, lr: 0.000036, batch_cost: 1.2166, reader_cost: 0.00020, ips: 1.6439 samples/sec | ETA 32:24:58 2021-08-22 11:16:17 [INFO] [TRAIN] epoch: 173, iter: 64090/160000, loss: 0.0677, lr: 0.000036, batch_cost: 1.2115, reader_cost: 0.00019, ips: 1.6508 samples/sec | ETA 32:16:36 2021-08-22 11:16:29 [INFO] [TRAIN] epoch: 173, iter: 64100/160000, loss: 0.0710, lr: 0.000036, batch_cost: 1.2066, reader_cost: 0.00019, ips: 1.6575 samples/sec | ETA 32:08:33 2021-08-22 11:16:41 [INFO] [TRAIN] epoch: 173, iter: 64110/160000, loss: 0.0639, lr: 0.000036, batch_cost: 1.2100, reader_cost: 0.00019, ips: 1.6530 samples/sec | ETA 32:13:42 2021-08-22 11:16:53 [INFO] [TRAIN] epoch: 173, iter: 64120/160000, loss: 0.0627, lr: 0.000036, batch_cost: 1.2159, reader_cost: 0.00020, ips: 1.6449 samples/sec | ETA 32:22:56 2021-08-22 11:17:05 [INFO] [TRAIN] epoch: 173, iter: 64130/160000, loss: 0.0586, lr: 0.000036, batch_cost: 1.2146, reader_cost: 0.00020, ips: 1.6467 samples/sec | ETA 32:20:40 2021-08-22 11:17:17 [INFO] [TRAIN] epoch: 173, iter: 64140/160000, loss: 0.0691, lr: 0.000036, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 31:44:38 2021-08-22 11:17:29 [INFO] [TRAIN] epoch: 173, iter: 64150/160000, loss: 0.0688, lr: 0.000036, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6771 samples/sec | ETA 31:45:04 2021-08-22 11:17:41 [INFO] [TRAIN] epoch: 173, iter: 64160/160000, loss: 0.0552, lr: 0.000036, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6794 samples/sec | ETA 31:42:15 2021-08-22 11:17:53 [INFO] [TRAIN] epoch: 173, iter: 64170/160000, loss: 0.0650, lr: 0.000036, batch_cost: 1.1858, reader_cost: 0.00017, ips: 1.6867 samples/sec | ETA 31:33:51 2021-08-22 11:18:05 [INFO] [TRAIN] epoch: 173, iter: 64180/160000, loss: 0.0577, lr: 0.000036, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 31:42:07 2021-08-22 11:18:17 [INFO] [TRAIN] epoch: 173, iter: 64190/160000, loss: 0.0874, lr: 0.000036, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6778 samples/sec | ETA 31:43:26 2021-08-22 11:18:29 [INFO] [TRAIN] epoch: 173, iter: 64200/160000, loss: 0.0870, lr: 0.000036, batch_cost: 1.1970, reader_cost: 0.00017, ips: 1.6708 samples/sec | ETA 31:51:12 2021-08-22 11:18:40 [INFO] [TRAIN] epoch: 173, iter: 64210/160000, loss: 0.0765, lr: 0.000036, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 31:36:01 2021-08-22 11:18:52 [INFO] [TRAIN] epoch: 173, iter: 64220/160000, loss: 0.0586, lr: 0.000036, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 31:42:43 2021-08-22 11:19:04 [INFO] [TRAIN] epoch: 173, iter: 64230/160000, loss: 0.0772, lr: 0.000036, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6802 samples/sec | ETA 31:39:59 2021-08-22 11:19:16 [INFO] [TRAIN] epoch: 173, iter: 64240/160000, loss: 0.0493, lr: 0.000036, batch_cost: 1.1960, reader_cost: 0.00016, ips: 1.6722 samples/sec | ETA 31:48:50 2021-08-22 11:19:28 [INFO] [TRAIN] epoch: 173, iter: 64250/160000, loss: 0.0670, lr: 0.000036, batch_cost: 1.1828, reader_cost: 0.00017, ips: 1.6909 samples/sec | ETA 31:27:35 2021-08-22 11:19:40 [INFO] [TRAIN] epoch: 173, iter: 64260/160000, loss: 0.0700, lr: 0.000036, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6767 samples/sec | ETA 31:43:18 2021-08-22 11:19:52 [INFO] [TRAIN] epoch: 173, iter: 64270/160000, loss: 0.0810, lr: 0.000036, batch_cost: 1.1965, reader_cost: 0.00017, ips: 1.6716 samples/sec | ETA 31:48:59 2021-08-22 11:20:04 [INFO] [TRAIN] epoch: 173, iter: 64280/160000, loss: 0.0791, lr: 0.000036, batch_cost: 1.1979, reader_cost: 0.00017, ips: 1.6696 samples/sec | ETA 31:50:59 2021-08-22 11:20:16 [INFO] [TRAIN] epoch: 173, iter: 64290/160000, loss: 0.0687, lr: 0.000036, batch_cost: 1.2000, reader_cost: 0.00017, ips: 1.6666 samples/sec | ETA 31:54:13 2021-08-22 11:20:28 [INFO] [TRAIN] epoch: 173, iter: 64300/160000, loss: 0.0618, lr: 0.000036, batch_cost: 1.2143, reader_cost: 0.00017, ips: 1.6471 samples/sec | ETA 32:16:44 2021-08-22 11:20:40 [INFO] [TRAIN] epoch: 173, iter: 64310/160000, loss: 0.0646, lr: 0.000036, batch_cost: 1.2068, reader_cost: 0.00017, ips: 1.6573 samples/sec | ETA 32:04:37 2021-08-22 11:20:52 [INFO] [TRAIN] epoch: 173, iter: 64320/160000, loss: 0.0535, lr: 0.000036, batch_cost: 1.2007, reader_cost: 0.00016, ips: 1.6657 samples/sec | ETA 31:54:44 2021-08-22 11:21:04 [INFO] [TRAIN] epoch: 173, iter: 64330/160000, loss: 0.0696, lr: 0.000036, batch_cost: 1.1986, reader_cost: 0.00017, ips: 1.6686 samples/sec | ETA 31:51:08 2021-08-22 11:21:16 [INFO] [TRAIN] epoch: 173, iter: 64340/160000, loss: 0.0554, lr: 0.000036, batch_cost: 1.2016, reader_cost: 0.00018, ips: 1.6644 samples/sec | ETA 31:55:48 2021-08-22 11:21:28 [INFO] [TRAIN] epoch: 173, iter: 64350/160000, loss: 0.0556, lr: 0.000036, batch_cost: 1.1906, reader_cost: 0.00015, ips: 1.6798 samples/sec | ETA 31:38:02 2021-08-22 11:21:42 [INFO] [TRAIN] epoch: 174, iter: 64360/160000, loss: 0.0645, lr: 0.000036, batch_cost: 1.3950, reader_cost: 0.17791, ips: 1.4337 samples/sec | ETA 37:03:40 2021-08-22 11:21:54 [INFO] [TRAIN] epoch: 174, iter: 64370/160000, loss: 0.0504, lr: 0.000036, batch_cost: 1.2126, reader_cost: 0.00064, ips: 1.6493 samples/sec | ETA 32:12:44 2021-08-22 11:22:06 [INFO] [TRAIN] epoch: 174, iter: 64380/160000, loss: 0.0619, lr: 0.000036, batch_cost: 1.2015, reader_cost: 0.00018, ips: 1.6646 samples/sec | ETA 31:54:47 2021-08-22 11:22:18 [INFO] [TRAIN] epoch: 174, iter: 64390/160000, loss: 0.0626, lr: 0.000036, batch_cost: 1.2043, reader_cost: 0.00017, ips: 1.6608 samples/sec | ETA 31:59:00 2021-08-22 11:22:30 [INFO] [TRAIN] epoch: 174, iter: 64400/160000, loss: 0.0545, lr: 0.000036, batch_cost: 1.1968, reader_cost: 0.00017, ips: 1.6711 samples/sec | ETA 31:46:52 2021-08-22 11:22:42 [INFO] [TRAIN] epoch: 174, iter: 64410/160000, loss: 0.0640, lr: 0.000036, batch_cost: 1.1917, reader_cost: 0.00018, ips: 1.6783 samples/sec | ETA 31:38:31 2021-08-22 11:22:54 [INFO] [TRAIN] epoch: 174, iter: 64420/160000, loss: 0.0564, lr: 0.000036, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6834 samples/sec | ETA 31:32:37 2021-08-22 11:23:06 [INFO] [TRAIN] epoch: 174, iter: 64430/160000, loss: 0.0659, lr: 0.000036, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6801 samples/sec | ETA 31:36:06 2021-08-22 11:23:18 [INFO] [TRAIN] epoch: 174, iter: 64440/160000, loss: 0.0667, lr: 0.000036, batch_cost: 1.1911, reader_cost: 0.00016, ips: 1.6791 samples/sec | ETA 31:37:00 2021-08-22 11:23:30 [INFO] [TRAIN] epoch: 174, iter: 64450/160000, loss: 0.0675, lr: 0.000036, batch_cost: 1.1957, reader_cost: 0.00018, ips: 1.6726 samples/sec | ETA 31:44:10 2021-08-22 11:23:42 [INFO] [TRAIN] epoch: 174, iter: 64460/160000, loss: 0.0653, lr: 0.000036, batch_cost: 1.1898, reader_cost: 0.00017, ips: 1.6810 samples/sec | ETA 31:34:29 2021-08-22 11:23:54 [INFO] [TRAIN] epoch: 174, iter: 64470/160000, loss: 0.0706, lr: 0.000036, batch_cost: 1.1880, reader_cost: 0.00017, ips: 1.6835 samples/sec | ETA 31:31:31 2021-08-22 11:24:06 [INFO] [TRAIN] epoch: 174, iter: 64480/160000, loss: 0.0526, lr: 0.000036, batch_cost: 1.2125, reader_cost: 0.00018, ips: 1.6494 samples/sec | ETA 32:10:20 2021-08-22 11:24:18 [INFO] [TRAIN] epoch: 174, iter: 64490/160000, loss: 0.0617, lr: 0.000036, batch_cost: 1.2092, reader_cost: 0.00019, ips: 1.6540 samples/sec | ETA 32:04:51 2021-08-22 11:24:30 [INFO] [TRAIN] epoch: 174, iter: 64500/160000, loss: 0.0626, lr: 0.000036, batch_cost: 1.1978, reader_cost: 0.00019, ips: 1.6697 samples/sec | ETA 31:46:31 2021-08-22 11:24:42 [INFO] [TRAIN] epoch: 174, iter: 64510/160000, loss: 0.0764, lr: 0.000036, batch_cost: 1.1909, reader_cost: 0.00018, ips: 1.6794 samples/sec | ETA 31:35:16 2021-08-22 11:24:54 [INFO] [TRAIN] epoch: 174, iter: 64520/160000, loss: 0.0610, lr: 0.000036, batch_cost: 1.1967, reader_cost: 0.00016, ips: 1.6713 samples/sec | ETA 31:44:19 2021-08-22 11:25:05 [INFO] [TRAIN] epoch: 174, iter: 64530/160000, loss: 0.0650, lr: 0.000036, batch_cost: 1.1880, reader_cost: 0.00016, ips: 1.6835 samples/sec | ETA 31:30:16 2021-08-22 11:25:17 [INFO] [TRAIN] epoch: 174, iter: 64540/160000, loss: 0.0581, lr: 0.000036, batch_cost: 1.1914, reader_cost: 0.00016, ips: 1.6787 samples/sec | ETA 31:35:29 2021-08-22 11:25:29 [INFO] [TRAIN] epoch: 174, iter: 64550/160000, loss: 0.0742, lr: 0.000036, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6804 samples/sec | ETA 31:33:22 2021-08-22 11:25:41 [INFO] [TRAIN] epoch: 174, iter: 64560/160000, loss: 0.0745, lr: 0.000036, batch_cost: 1.1934, reader_cost: 0.00016, ips: 1.6759 samples/sec | ETA 31:38:15 2021-08-22 11:25:53 [INFO] [TRAIN] epoch: 174, iter: 64570/160000, loss: 0.0653, lr: 0.000036, batch_cost: 1.2009, reader_cost: 0.00016, ips: 1.6654 samples/sec | ETA 31:50:04 2021-08-22 11:26:05 [INFO] [TRAIN] epoch: 174, iter: 64580/160000, loss: 0.0621, lr: 0.000036, batch_cost: 1.1973, reader_cost: 0.00016, ips: 1.6704 samples/sec | ETA 31:44:05 2021-08-22 11:26:17 [INFO] [TRAIN] epoch: 174, iter: 64590/160000, loss: 0.0648, lr: 0.000036, batch_cost: 1.1961, reader_cost: 0.00023, ips: 1.6721 samples/sec | ETA 31:42:00 2021-08-22 11:26:29 [INFO] [TRAIN] epoch: 174, iter: 64600/160000, loss: 0.0578, lr: 0.000036, batch_cost: 1.1910, reader_cost: 0.00016, ips: 1.6793 samples/sec | ETA 31:33:39 2021-08-22 11:26:41 [INFO] [TRAIN] epoch: 174, iter: 64610/160000, loss: 0.0569, lr: 0.000036, batch_cost: 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31:23:20 2021-08-22 11:29:06 [INFO] [TRAIN] epoch: 175, iter: 64730/160000, loss: 0.0708, lr: 0.000036, batch_cost: 1.3924, reader_cost: 0.18595, ips: 1.4363 samples/sec | ETA 36:50:57 2021-08-22 11:29:18 [INFO] [TRAIN] epoch: 175, iter: 64740/160000, loss: 0.0704, lr: 0.000036, batch_cost: 1.2089, reader_cost: 0.00065, ips: 1.6544 samples/sec | ETA 31:59:22 2021-08-22 11:29:30 [INFO] [TRAIN] epoch: 175, iter: 64750/160000, loss: 0.0529, lr: 0.000036, batch_cost: 1.1914, reader_cost: 0.00017, ips: 1.6787 samples/sec | ETA 31:31:18 2021-08-22 11:29:42 [INFO] [TRAIN] epoch: 175, iter: 64760/160000, loss: 0.0535, lr: 0.000036, batch_cost: 1.1837, reader_cost: 0.00016, ips: 1.6896 samples/sec | ETA 31:18:57 2021-08-22 11:29:54 [INFO] [TRAIN] epoch: 175, iter: 64770/160000, loss: 0.0647, lr: 0.000036, batch_cost: 1.2070, reader_cost: 0.00016, ips: 1.6571 samples/sec | ETA 31:55:38 2021-08-22 11:30:06 [INFO] [TRAIN] epoch: 175, iter: 64780/160000, loss: 0.0669, lr: 0.000036, batch_cost: 1.2129, reader_cost: 0.00016, ips: 1.6490 samples/sec | ETA 32:04:48 2021-08-22 11:30:18 [INFO] [TRAIN] epoch: 175, iter: 64790/160000, loss: 0.0657, lr: 0.000036, batch_cost: 1.2035, reader_cost: 0.00016, ips: 1.6618 samples/sec | ETA 31:49:47 2021-08-22 11:30:30 [INFO] [TRAIN] epoch: 175, iter: 64800/160000, loss: 0.0599, lr: 0.000036, batch_cost: 1.2057, reader_cost: 0.00016, ips: 1.6588 samples/sec | ETA 31:53:03 2021-08-22 11:30:43 [INFO] [TRAIN] epoch: 175, iter: 64810/160000, loss: 0.0563, lr: 0.000036, batch_cost: 1.2050, reader_cost: 0.00016, ips: 1.6598 samples/sec | ETA 31:51:42 2021-08-22 11:30:54 [INFO] [TRAIN] epoch: 175, iter: 64820/160000, loss: 0.0602, lr: 0.000036, batch_cost: 1.1987, reader_cost: 0.00016, ips: 1.6685 samples/sec | ETA 31:41:31 2021-08-22 11:31:06 [INFO] [TRAIN] epoch: 175, iter: 64830/160000, loss: 0.0672, lr: 0.000036, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6698 samples/sec | ETA 31:39:46 2021-08-22 11:31:18 [INFO] [TRAIN] epoch: 175, 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31:46:27 2021-08-22 11:32:30 [INFO] [TRAIN] epoch: 175, iter: 64900/160000, loss: 0.0636, lr: 0.000036, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 31:22:19 2021-08-22 11:32:42 [INFO] [TRAIN] epoch: 175, iter: 64910/160000, loss: 0.0834, lr: 0.000036, batch_cost: 1.1853, reader_cost: 0.00017, ips: 1.6873 samples/sec | ETA 31:18:34 2021-08-22 11:32:54 [INFO] [TRAIN] epoch: 175, iter: 64920/160000, loss: 0.0828, lr: 0.000036, batch_cost: 1.1819, reader_cost: 0.00016, ips: 1.6922 samples/sec | ETA 31:12:52 2021-08-22 11:33:05 [INFO] [TRAIN] epoch: 175, iter: 64930/160000, loss: 0.0784, lr: 0.000036, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 31:22:59 2021-08-22 11:33:17 [INFO] [TRAIN] epoch: 175, iter: 64940/160000, loss: 0.0581, lr: 0.000036, batch_cost: 1.1997, reader_cost: 0.00017, ips: 1.6670 samples/sec | ETA 31:40:46 2021-08-22 11:33:29 [INFO] [TRAIN] epoch: 175, iter: 64950/160000, loss: 0.0723, lr: 0.000036, batch_cost: 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31:13:46 2021-08-22 11:35:52 [INFO] [TRAIN] epoch: 175, iter: 65070/160000, loss: 0.0751, lr: 0.000036, batch_cost: 1.1857, reader_cost: 0.00017, ips: 1.6868 samples/sec | ETA 31:15:54 2021-08-22 11:36:04 [INFO] [TRAIN] epoch: 175, iter: 65080/160000, loss: 0.0666, lr: 0.000036, batch_cost: 1.1913, reader_cost: 0.00016, ips: 1.6788 samples/sec | ETA 31:24:39 2021-08-22 11:36:16 [INFO] [TRAIN] epoch: 175, iter: 65090/160000, loss: 0.0556, lr: 0.000036, batch_cost: 1.1841, reader_cost: 0.00016, ips: 1.6890 samples/sec | ETA 31:13:05 2021-08-22 11:36:28 [INFO] [TRAIN] epoch: 175, iter: 65100/160000, loss: 0.0828, lr: 0.000036, batch_cost: 1.1654, reader_cost: 0.00012, ips: 1.7162 samples/sec | ETA 30:43:16 2021-08-22 11:36:42 [INFO] [TRAIN] epoch: 176, iter: 65110/160000, loss: 0.0727, lr: 0.000036, batch_cost: 1.4081, reader_cost: 0.19799, ips: 1.4204 samples/sec | ETA 37:06:54 2021-08-22 11:36:54 [INFO] [TRAIN] epoch: 176, iter: 65120/160000, loss: 0.0447, lr: 0.000036, batch_cost: 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31:42:05 2021-08-22 11:39:18 [INFO] [TRAIN] epoch: 176, iter: 65240/160000, loss: 0.0556, lr: 0.000036, batch_cost: 1.2077, reader_cost: 0.00019, ips: 1.6560 samples/sec | ETA 31:47:23 2021-08-22 11:39:30 [INFO] [TRAIN] epoch: 176, iter: 65250/160000, loss: 0.0599, lr: 0.000036, batch_cost: 1.2084, reader_cost: 0.00019, ips: 1.6551 samples/sec | ETA 31:48:12 2021-08-22 11:39:42 [INFO] [TRAIN] epoch: 176, iter: 65260/160000, loss: 0.0649, lr: 0.000036, batch_cost: 1.2093, reader_cost: 0.00020, ips: 1.6538 samples/sec | ETA 31:49:30 2021-08-22 11:39:54 [INFO] [TRAIN] epoch: 176, iter: 65270/160000, loss: 0.0571, lr: 0.000036, batch_cost: 1.2058, reader_cost: 0.00019, ips: 1.6586 samples/sec | ETA 31:43:45 2021-08-22 11:40:06 [INFO] [TRAIN] epoch: 176, iter: 65280/160000, loss: 0.0542, lr: 0.000036, batch_cost: 1.2028, reader_cost: 0.00019, ips: 1.6628 samples/sec | ETA 31:38:50 2021-08-22 11:40:18 [INFO] [TRAIN] epoch: 176, iter: 65290/160000, loss: 0.0571, lr: 0.000036, batch_cost: 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31:06:12 2021-08-22 11:42:41 [INFO] [TRAIN] epoch: 176, iter: 65410/160000, loss: 0.0577, lr: 0.000035, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6745 samples/sec | ETA 31:22:58 2021-08-22 11:42:53 [INFO] [TRAIN] epoch: 176, iter: 65420/160000, loss: 0.0622, lr: 0.000035, batch_cost: 1.1940, reader_cost: 0.00018, ips: 1.6751 samples/sec | ETA 31:22:05 2021-08-22 11:43:05 [INFO] [TRAIN] epoch: 176, iter: 65430/160000, loss: 0.0585, lr: 0.000035, batch_cost: 1.2134, reader_cost: 0.00017, ips: 1.6483 samples/sec | ETA 31:52:31 2021-08-22 11:43:17 [INFO] [TRAIN] epoch: 176, iter: 65440/160000, loss: 0.0651, lr: 0.000035, batch_cost: 1.1908, reader_cost: 0.00016, ips: 1.6795 samples/sec | ETA 31:16:45 2021-08-22 11:43:29 [INFO] [TRAIN] epoch: 176, iter: 65450/160000, loss: 0.0608, lr: 0.000035, batch_cost: 1.1906, reader_cost: 0.00016, ips: 1.6799 samples/sec | ETA 31:16:06 2021-08-22 11:43:41 [INFO] [TRAIN] epoch: 176, iter: 65460/160000, loss: 0.0628, lr: 0.000035, batch_cost: 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31:02:46 2021-08-22 11:46:06 [INFO] [TRAIN] epoch: 177, iter: 65580/160000, loss: 0.0777, lr: 0.000035, batch_cost: 1.1842, reader_cost: 0.00017, ips: 1.6889 samples/sec | ETA 31:03:33 2021-08-22 11:46:18 [INFO] [TRAIN] epoch: 177, iter: 65590/160000, loss: 0.0760, lr: 0.000035, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 31:13:12 2021-08-22 11:46:30 [INFO] [TRAIN] epoch: 177, iter: 65600/160000, loss: 0.0614, lr: 0.000035, batch_cost: 1.1987, reader_cost: 0.00017, ips: 1.6685 samples/sec | ETA 31:25:54 2021-08-22 11:46:42 [INFO] [TRAIN] epoch: 177, iter: 65610/160000, loss: 0.0560, lr: 0.000035, batch_cost: 1.1918, reader_cost: 0.00018, ips: 1.6781 samples/sec | ETA 31:14:55 2021-08-22 11:46:53 [INFO] [TRAIN] epoch: 177, iter: 65620/160000, loss: 0.0591, lr: 0.000035, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6782 samples/sec | ETA 31:14:38 2021-08-22 11:47:05 [INFO] [TRAIN] epoch: 177, iter: 65630/160000, loss: 0.0586, lr: 0.000035, batch_cost: 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31:14:24 2021-08-22 11:49:28 [INFO] [TRAIN] epoch: 177, iter: 65750/160000, loss: 0.0589, lr: 0.000035, batch_cost: 1.1931, reader_cost: 0.00016, ips: 1.6763 samples/sec | ETA 31:14:12 2021-08-22 11:49:40 [INFO] [TRAIN] epoch: 177, iter: 65760/160000, loss: 0.0599, lr: 0.000035, batch_cost: 1.1983, reader_cost: 0.00017, ips: 1.6691 samples/sec | ETA 31:22:04 2021-08-22 11:49:52 [INFO] [TRAIN] epoch: 177, iter: 65770/160000, loss: 0.0678, lr: 0.000035, batch_cost: 1.1942, reader_cost: 0.00018, ips: 1.6747 samples/sec | ETA 31:15:33 2021-08-22 11:50:04 [INFO] [TRAIN] epoch: 177, iter: 65780/160000, loss: 0.0550, lr: 0.000035, batch_cost: 1.1872, reader_cost: 0.00016, ips: 1.6846 samples/sec | ETA 31:04:17 2021-08-22 11:50:16 [INFO] [TRAIN] epoch: 177, iter: 65790/160000, loss: 0.0724, lr: 0.000035, batch_cost: 1.1892, reader_cost: 0.00016, ips: 1.6818 samples/sec | ETA 31:07:14 2021-08-22 11:50:28 [INFO] [TRAIN] epoch: 177, iter: 65800/160000, loss: 0.0687, lr: 0.000035, batch_cost: 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31:10:56 2021-08-22 11:59:41 [INFO] [TRAIN] epoch: 179, iter: 66260/160000, loss: 0.0741, lr: 0.000035, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 31:07:47 2021-08-22 11:59:53 [INFO] [TRAIN] epoch: 179, iter: 66270/160000, loss: 0.0610, lr: 0.000035, batch_cost: 1.1951, reader_cost: 0.00016, ips: 1.6735 samples/sec | ETA 31:06:56 2021-08-22 12:00:05 [INFO] [TRAIN] epoch: 179, iter: 66280/160000, loss: 0.0619, lr: 0.000035, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6737 samples/sec | ETA 31:06:32 2021-08-22 12:00:17 [INFO] [TRAIN] epoch: 179, iter: 66290/160000, loss: 0.0678, lr: 0.000035, batch_cost: 1.2015, reader_cost: 0.00017, ips: 1.6645 samples/sec | ETA 31:16:36 2021-08-22 12:00:29 [INFO] [TRAIN] epoch: 179, iter: 66300/160000, loss: 0.0650, lr: 0.000035, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 31:01:38 2021-08-22 12:00:41 [INFO] [TRAIN] epoch: 179, iter: 66310/160000, loss: 0.0814, lr: 0.000035, batch_cost: 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iter: 67220/160000, loss: 0.0551, lr: 0.000035, batch_cost: 1.1960, reader_cost: 0.00017, ips: 1.6723 samples/sec | ETA 30:49:20 2021-08-22 12:19:02 [INFO] [TRAIN] epoch: 181, iter: 67230/160000, loss: 0.0605, lr: 0.000035, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6771 samples/sec | ETA 30:43:50 2021-08-22 12:19:14 [INFO] [TRAIN] epoch: 181, iter: 67240/160000, loss: 0.0652, lr: 0.000035, batch_cost: 1.1880, reader_cost: 0.00019, ips: 1.6836 samples/sec | ETA 30:36:35 2021-08-22 12:19:26 [INFO] [TRAIN] epoch: 181, iter: 67250/160000, loss: 0.0717, lr: 0.000035, batch_cost: 1.1925, reader_cost: 0.00018, ips: 1.6771 samples/sec | ETA 30:43:28 2021-08-22 12:19:38 [INFO] [TRAIN] epoch: 181, iter: 67260/160000, loss: 0.0529, lr: 0.000035, batch_cost: 1.1957, reader_cost: 0.00017, ips: 1.6727 samples/sec | ETA 30:48:08 2021-08-22 12:19:50 [INFO] [TRAIN] epoch: 181, iter: 67270/160000, loss: 0.0719, lr: 0.000035, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6775 samples/sec | ETA 30:42:34 2021-08-22 12:20:02 [INFO] [TRAIN] epoch: 181, iter: 67280/160000, loss: 0.0663, lr: 0.000035, batch_cost: 1.1875, reader_cost: 0.00017, ips: 1.6842 samples/sec | ETA 30:35:06 2021-08-22 12:20:14 [INFO] [TRAIN] epoch: 181, iter: 67290/160000, loss: 0.0604, lr: 0.000035, batch_cost: 1.1994, reader_cost: 0.00017, ips: 1.6675 samples/sec | ETA 30:53:19 2021-08-22 12:20:26 [INFO] [TRAIN] epoch: 181, iter: 67300/160000, loss: 0.0772, lr: 0.000035, batch_cost: 1.1810, reader_cost: 0.00016, ips: 1.6934 samples/sec | ETA 30:24:42 2021-08-22 12:20:38 [INFO] [TRAIN] epoch: 181, iter: 67310/160000, loss: 0.0534, lr: 0.000035, batch_cost: 1.1969, reader_cost: 0.00017, ips: 1.6710 samples/sec | ETA 30:48:59 2021-08-22 12:20:50 [INFO] [TRAIN] epoch: 181, iter: 67320/160000, loss: 0.0614, lr: 0.000035, batch_cost: 1.1813, reader_cost: 0.00017, ips: 1.6931 samples/sec | ETA 30:24:38 2021-08-22 12:21:01 [INFO] [TRAIN] epoch: 181, iter: 67330/160000, loss: 0.0728, lr: 0.000035, batch_cost: 1.1634, reader_cost: 0.00012, ips: 1.7191 samples/sec | ETA 29:56:51 2021-08-22 12:21:15 [INFO] [TRAIN] epoch: 182, iter: 67340/160000, loss: 0.0713, lr: 0.000035, batch_cost: 1.3966, reader_cost: 0.17266, ips: 1.4321 samples/sec | ETA 35:56:44 2021-08-22 12:21:27 [INFO] [TRAIN] epoch: 182, iter: 67350/160000, loss: 0.0565, lr: 0.000035, batch_cost: 1.1853, reader_cost: 0.00064, ips: 1.6873 samples/sec | ETA 30:30:22 2021-08-22 12:21:39 [INFO] [TRAIN] epoch: 182, iter: 67360/160000, loss: 0.0627, lr: 0.000035, batch_cost: 1.1968, reader_cost: 0.00017, ips: 1.6711 samples/sec | ETA 30:47:55 2021-08-22 12:21:51 [INFO] [TRAIN] epoch: 182, iter: 67370/160000, loss: 0.0661, lr: 0.000035, batch_cost: 1.1923, reader_cost: 0.00019, ips: 1.6775 samples/sec | ETA 30:40:40 2021-08-22 12:22:03 [INFO] [TRAIN] epoch: 182, iter: 67380/160000, loss: 0.0554, lr: 0.000035, batch_cost: 1.1859, reader_cost: 0.00017, ips: 1.6865 samples/sec | ETA 30:30:34 2021-08-22 12:22:15 [INFO] [TRAIN] epoch: 182, iter: 67390/160000, loss: 0.0655, lr: 0.000035, batch_cost: 1.1843, reader_cost: 0.00017, ips: 1.6888 samples/sec | ETA 30:27:58 2021-08-22 12:22:26 [INFO] [TRAIN] epoch: 182, iter: 67400/160000, loss: 0.0547, lr: 0.000035, batch_cost: 1.1782, reader_cost: 0.00017, ips: 1.6976 samples/sec | ETA 30:18:16 2021-08-22 12:22:38 [INFO] [TRAIN] epoch: 182, iter: 67410/160000, loss: 0.0624, lr: 0.000035, batch_cost: 1.1982, reader_cost: 0.00017, ips: 1.6692 samples/sec | ETA 30:49:02 2021-08-22 12:22:50 [INFO] [TRAIN] epoch: 182, iter: 67420/160000, loss: 0.0639, lr: 0.000035, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6805 samples/sec | ETA 30:36:21 2021-08-22 12:23:02 [INFO] [TRAIN] epoch: 182, iter: 67430/160000, loss: 0.0691, lr: 0.000035, batch_cost: 1.1842, reader_cost: 0.00017, ips: 1.6889 samples/sec | ETA 30:27:04 2021-08-22 12:23:14 [INFO] [TRAIN] epoch: 182, iter: 67440/160000, loss: 0.0591, lr: 0.000035, batch_cost: 1.1841, reader_cost: 0.00017, ips: 1.6891 samples/sec | ETA 30:26:36 2021-08-22 12:23:26 [INFO] [TRAIN] epoch: 182, iter: 67450/160000, loss: 0.0733, lr: 0.000035, batch_cost: 1.1860, reader_cost: 0.00017, ips: 1.6863 samples/sec | ETA 30:29:25 2021-08-22 12:23:38 [INFO] [TRAIN] epoch: 182, iter: 67460/160000, loss: 0.0684, lr: 0.000035, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6791 samples/sec | ETA 30:37:08 2021-08-22 12:23:50 [INFO] [TRAIN] epoch: 182, iter: 67470/160000, loss: 0.0669, lr: 0.000035, batch_cost: 1.1946, reader_cost: 0.00017, ips: 1.6742 samples/sec | ETA 30:42:18 2021-08-22 12:24:02 [INFO] [TRAIN] epoch: 182, iter: 67480/160000, loss: 0.0513, lr: 0.000035, batch_cost: 1.1952, reader_cost: 0.00015, ips: 1.6733 samples/sec | ETA 30:43:02 2021-08-22 12:24:14 [INFO] [TRAIN] epoch: 182, iter: 67490/160000, loss: 0.0594, lr: 0.000035, batch_cost: 1.1857, reader_cost: 0.00019, ips: 1.6867 samples/sec | ETA 30:28:11 2021-08-22 12:24:25 [INFO] [TRAIN] epoch: 182, iter: 67500/160000, loss: 0.0604, lr: 0.000035, batch_cost: 1.1912, reader_cost: 0.00016, ips: 1.6789 samples/sec | ETA 30:36:28 2021-08-22 12:24:37 [INFO] [TRAIN] epoch: 182, iter: 67510/160000, loss: 0.0641, lr: 0.000035, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 30:39:07 2021-08-22 12:24:49 [INFO] [TRAIN] epoch: 182, iter: 67520/160000, loss: 0.0734, lr: 0.000035, batch_cost: 1.1973, reader_cost: 0.00017, ips: 1.6705 samples/sec | ETA 30:45:22 2021-08-22 12:25:01 [INFO] [TRAIN] epoch: 182, iter: 67530/160000, loss: 0.0639, lr: 0.000035, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 30:36:19 2021-08-22 12:25:13 [INFO] [TRAIN] epoch: 182, iter: 67540/160000, loss: 0.0847, lr: 0.000035, batch_cost: 1.2116, reader_cost: 0.00017, ips: 1.6507 samples/sec | ETA 31:07:04 2021-08-22 12:25:25 [INFO] [TRAIN] epoch: 182, iter: 67550/160000, loss: 0.0555, lr: 0.000035, batch_cost: 1.1999, reader_cost: 0.00017, ips: 1.6668 samples/sec | ETA 30:48:47 2021-08-22 12:25:38 [INFO] [TRAIN] epoch: 182, iter: 67560/160000, loss: 0.0487, lr: 0.000035, batch_cost: 1.2157, reader_cost: 0.00016, ips: 1.6452 samples/sec | ETA 31:12:55 2021-08-22 12:25:50 [INFO] [TRAIN] epoch: 182, iter: 67570/160000, loss: 0.0818, lr: 0.000035, batch_cost: 1.2061, reader_cost: 0.00017, ips: 1.6583 samples/sec | ETA 30:57:58 2021-08-22 12:26:02 [INFO] [TRAIN] epoch: 182, iter: 67580/160000, loss: 0.0629, lr: 0.000035, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 30:42:41 2021-08-22 12:26:14 [INFO] [TRAIN] epoch: 182, iter: 67590/160000, loss: 0.0541, lr: 0.000035, batch_cost: 1.2032, reader_cost: 0.00017, ips: 1.6622 samples/sec | ETA 30:53:11 2021-08-22 12:26:26 [INFO] [TRAIN] epoch: 182, iter: 67600/160000, loss: 0.1265, lr: 0.000035, batch_cost: 1.2063, reader_cost: 0.00018, ips: 1.6579 samples/sec | ETA 30:57:45 2021-08-22 12:26:38 [INFO] [TRAIN] epoch: 182, iter: 67610/160000, loss: 0.0754, lr: 0.000035, batch_cost: 1.2039, reader_cost: 0.00017, ips: 1.6612 samples/sec | ETA 30:53:51 2021-08-22 12:26:50 [INFO] [TRAIN] epoch: 182, iter: 67620/160000, loss: 0.0633, lr: 0.000035, batch_cost: 1.2096, reader_cost: 0.00017, ips: 1.6534 samples/sec | ETA 31:02:25 2021-08-22 12:27:02 [INFO] [TRAIN] epoch: 182, iter: 67630/160000, loss: 0.0704, lr: 0.000035, batch_cost: 1.2145, reader_cost: 0.00016, ips: 1.6468 samples/sec | ETA 31:09:39 2021-08-22 12:27:14 [INFO] [TRAIN] epoch: 182, iter: 67640/160000, loss: 0.0764, lr: 0.000035, batch_cost: 1.2093, reader_cost: 0.00016, ips: 1.6539 samples/sec | ETA 31:01:27 2021-08-22 12:27:26 [INFO] [TRAIN] epoch: 182, iter: 67650/160000, loss: 0.1235, lr: 0.000035, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 30:34:54 2021-08-22 12:27:38 [INFO] [TRAIN] epoch: 182, iter: 67660/160000, loss: 0.0680, lr: 0.000035, batch_cost: 1.1898, reader_cost: 0.00017, ips: 1.6809 samples/sec | ETA 30:31:09 2021-08-22 12:27:50 [INFO] [TRAIN] epoch: 182, iter: 67670/160000, loss: 0.0729, lr: 0.000035, batch_cost: 1.1896, reader_cost: 0.00016, ips: 1.6812 samples/sec | ETA 30:30:35 2021-08-22 12:28:02 [INFO] [TRAIN] epoch: 182, iter: 67680/160000, loss: 0.0632, lr: 0.000035, batch_cost: 1.1895, reader_cost: 0.00016, ips: 1.6813 samples/sec | ETA 30:30:17 2021-08-22 12:28:14 [INFO] [TRAIN] epoch: 182, iter: 67690/160000, loss: 0.0654, lr: 0.000035, batch_cost: 1.1908, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 30:32:07 2021-08-22 12:28:25 [INFO] [TRAIN] epoch: 182, iter: 67700/160000, loss: 0.0875, lr: 0.000035, batch_cost: 1.1717, reader_cost: 0.00013, ips: 1.7069 samples/sec | ETA 30:02:29 2021-08-22 12:28:39 [INFO] [TRAIN] epoch: 183, iter: 67710/160000, loss: 0.0641, lr: 0.000035, batch_cost: 1.4059, reader_cost: 0.16235, ips: 1.4226 samples/sec | ETA 36:02:29 2021-08-22 12:28:51 [INFO] [TRAIN] epoch: 183, iter: 67720/160000, loss: 0.0762, lr: 0.000035, batch_cost: 1.1901, reader_cost: 0.00068, ips: 1.6805 samples/sec | ETA 30:30:23 2021-08-22 12:29:03 [INFO] [TRAIN] epoch: 183, iter: 67730/160000, loss: 0.0562, lr: 0.000035, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6714 samples/sec | ETA 30:40:10 2021-08-22 12:29:15 [INFO] [TRAIN] epoch: 183, iter: 67740/160000, loss: 0.0601, lr: 0.000035, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6829 samples/sec | ETA 30:27:23 2021-08-22 12:29:27 [INFO] [TRAIN] epoch: 183, iter: 67750/160000, loss: 0.0680, lr: 0.000035, batch_cost: 1.1868, reader_cost: 0.00016, ips: 1.6852 samples/sec | ETA 30:24:42 2021-08-22 12:29:39 [INFO] [TRAIN] epoch: 183, iter: 67760/160000, loss: 0.0441, lr: 0.000035, batch_cost: 1.1933, reader_cost: 0.00016, ips: 1.6761 samples/sec | ETA 30:34:26 2021-08-22 12:29:51 [INFO] [TRAIN] epoch: 183, iter: 67770/160000, loss: 0.0649, lr: 0.000035, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6775 samples/sec | ETA 30:32:44 2021-08-22 12:30:03 [INFO] [TRAIN] epoch: 183, iter: 67780/160000, loss: 0.0672, lr: 0.000035, batch_cost: 1.1839, reader_cost: 0.00017, ips: 1.6893 samples/sec | ETA 30:19:42 2021-08-22 12:30:15 [INFO] [TRAIN] epoch: 183, iter: 67790/160000, loss: 0.0551, lr: 0.000035, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 30:29:31 2021-08-22 12:30:26 [INFO] [TRAIN] epoch: 183, iter: 67800/160000, loss: 0.0860, lr: 0.000035, batch_cost: 1.1899, reader_cost: 0.00018, ips: 1.6809 samples/sec | ETA 30:28:26 2021-08-22 12:30:38 [INFO] [TRAIN] epoch: 183, iter: 67810/160000, loss: 0.0593, lr: 0.000035, batch_cost: 1.1867, reader_cost: 0.00017, ips: 1.6854 samples/sec | ETA 30:23:20 2021-08-22 12:30:50 [INFO] [TRAIN] epoch: 183, iter: 67820/160000, loss: 0.0766, lr: 0.000035, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6750 samples/sec | ETA 30:34:23 2021-08-22 12:31:02 [INFO] [TRAIN] epoch: 183, iter: 67830/160000, loss: 0.0880, lr: 0.000035, batch_cost: 1.1936, reader_cost: 0.00017, ips: 1.6756 samples/sec | ETA 30:33:32 2021-08-22 12:31:14 [INFO] [TRAIN] epoch: 183, iter: 67840/160000, loss: 0.0566, lr: 0.000035, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 30:37:29 2021-08-22 12:31:26 [INFO] [TRAIN] epoch: 183, iter: 67850/160000, loss: 0.0700, lr: 0.000035, batch_cost: 1.1955, reader_cost: 0.00019, ips: 1.6730 samples/sec | ETA 30:36:02 2021-08-22 12:31:38 [INFO] [TRAIN] epoch: 183, iter: 67860/160000, loss: 0.0847, lr: 0.000035, batch_cost: 1.1991, reader_cost: 0.00017, ips: 1.6680 samples/sec | ETA 30:41:20 2021-08-22 12:31:50 [INFO] [TRAIN] epoch: 183, iter: 67870/160000, loss: 0.0681, lr: 0.000035, batch_cost: 1.1938, reader_cost: 0.00018, ips: 1.6753 samples/sec | ETA 30:33:07 2021-08-22 12:32:02 [INFO] [TRAIN] epoch: 183, iter: 67880/160000, loss: 0.0707, lr: 0.000035, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 30:31:50 2021-08-22 12:32:14 [INFO] [TRAIN] epoch: 183, iter: 67890/160000, loss: 0.0630, lr: 0.000035, batch_cost: 1.1870, reader_cost: 0.00017, ips: 1.6849 samples/sec | ETA 30:22:12 2021-08-22 12:32:26 [INFO] [TRAIN] epoch: 183, iter: 67900/160000, loss: 0.0619, lr: 0.000035, batch_cost: 1.1908, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 30:27:54 2021-08-22 12:32:38 [INFO] [TRAIN] epoch: 183, iter: 67910/160000, loss: 0.0577, lr: 0.000035, batch_cost: 1.1897, reader_cost: 0.00017, ips: 1.6810 samples/sec | ETA 30:26:03 2021-08-22 12:32:50 [INFO] [TRAIN] epoch: 183, iter: 67920/160000, loss: 0.0894, lr: 0.000035, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 30:32:00 2021-08-22 12:33:01 [INFO] [TRAIN] epoch: 183, iter: 67930/160000, loss: 0.0994, lr: 0.000035, batch_cost: 1.1859, reader_cost: 0.00016, ips: 1.6865 samples/sec | ETA 30:19:47 2021-08-22 12:33:13 [INFO] [TRAIN] epoch: 183, iter: 67940/160000, loss: 0.0792, lr: 0.000035, batch_cost: 1.1904, reader_cost: 0.00016, ips: 1.6801 samples/sec | ETA 30:26:26 2021-08-22 12:33:25 [INFO] [TRAIN] epoch: 183, iter: 67950/160000, loss: 0.0544, lr: 0.000035, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6752 samples/sec | ETA 30:31:37 2021-08-22 12:33:37 [INFO] [TRAIN] epoch: 183, iter: 67960/160000, loss: 0.0658, lr: 0.000035, batch_cost: 1.1985, reader_cost: 0.00017, ips: 1.6687 samples/sec | ETA 30:38:31 2021-08-22 12:33:49 [INFO] [TRAIN] epoch: 183, iter: 67970/160000, loss: 0.0695, lr: 0.000035, batch_cost: 1.2065, reader_cost: 0.00017, ips: 1.6577 samples/sec | ETA 30:50:34 2021-08-22 12:34:01 [INFO] [TRAIN] epoch: 183, iter: 67980/160000, loss: 0.0597, lr: 0.000035, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6797 samples/sec | ETA 30:26:07 2021-08-22 12:34:13 [INFO] [TRAIN] epoch: 183, iter: 67990/160000, loss: 0.0627, lr: 0.000035, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6791 samples/sec | ETA 30:26:36 2021-08-22 12:34:25 [INFO] [TRAIN] epoch: 183, iter: 68000/160000, loss: 0.0722, lr: 0.000035, batch_cost: 1.1815, reader_cost: 0.00017, ips: 1.6927 samples/sec | ETA 30:11:39 2021-08-22 12:34:25 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:47 - batch_cost: 2.3203 - reader cost: 0.3553 2/125 [..............................] - ETA: 4:15 - batch_cost: 2.0795 - reader cost: 0.1778 3/125 [..............................] - ETA: 4:04 - batch_cost: 2.0035 - reader cost: 0.1186 4/125 [..............................] - ETA: 3:58 - batch_cost: 1.9710 - reader cost: 0.0890 5/125 [>.............................] - ETA: 3:53 - batch_cost: 1.9492 - reader cost: 0.0712 6/125 [>.............................] - ETA: 3:50 - batch_cost: 1.9327 - reader cost: 0.0594 7/125 [>.............................] - ETA: 3:46 - batch_cost: 1.9221 - reader cost: 0.0509 8/125 [>.............................] - ETA: 3:44 - batch_cost: 1.9188 - reader cost: 0.0446 9/125 [=>............................] - ETA: 3:41 - batch_cost: 1.9118 - reader cost: 0.0396 10/125 [=>............................] - ETA: 3:39 - batch_cost: 1.9069 - reader cost: 0.0357 11/125 [=>............................] - ETA: 3:36 - batch_cost: 1.8987 - reader cost: 0.0325 12/125 [=>............................] - ETA: 3:34 - batch_cost: 1.8969 - reader cost: 0.0298 13/125 [==>...........................] - ETA: 3:31 - batch_cost: 1.8916 - reader cost: 0.0275 14/125 [==>...........................] - ETA: 3:30 - batch_cost: 1.8925 - reader cost: 0.0256 15/125 [==>...........................] - ETA: 3:27 - batch_cost: 1.8905 - reader cost: 0.0239 16/125 [==>...........................] - ETA: 3:25 - batch_cost: 1.8891 - reader cost: 0.0224 17/125 [===>..........................] - ETA: 3:23 - batch_cost: 1.8871 - reader cost: 0.0211 18/125 [===>..........................] - ETA: 3:21 - batch_cost: 1.8856 - reader cost: 0.0199 19/125 [===>..........................] - ETA: 3:19 - batch_cost: 1.8851 - reader cost: 0.0189 20/125 [===>..........................] - ETA: 3:17 - batch_cost: 1.8833 - reader cost: 0.0179 21/125 [====>.........................] - ETA: 3:15 - batch_cost: 1.8817 - reader cost: 0.0171 22/125 [====>.........................] - ETA: 3:13 - batch_cost: 1.8801 - reader cost: 0.0163 23/125 [====>.........................] - ETA: 3:11 - batch_cost: 1.8788 - reader cost: 0.0156 24/125 [====>.........................] - ETA: 3:09 - batch_cost: 1.8781 - reader cost: 0.0150 25/125 [=====>........................] - ETA: 3:07 - batch_cost: 1.8782 - reader cost: 0.0144 26/125 [=====>........................] - ETA: 3:05 - batch_cost: 1.8781 - reader cost: 0.0138 27/125 [=====>........................] - ETA: 3:03 - batch_cost: 1.8770 - reader cost: 0.0133 28/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8761 - reader cost: 0.0129 29/125 [=====>........................] - ETA: 3:00 - batch_cost: 1.8756 - reader cost: 0.0124 30/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8751 - reader cost: 0.0120 31/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8740 - reader cost: 0.0116 32/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8737 - reader cost: 0.0113 33/125 [======>.......................] - ETA: 2:52 - batch_cost: 1.8730 - reader cost: 0.0109 34/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8720 - reader cost: 0.0106 35/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8715 - reader cost: 0.0103 36/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8705 - reader cost: 0.0100 37/125 [=======>......................] - ETA: 2:44 - batch_cost: 1.8701 - reader cost: 0.0098 38/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8698 - reader cost: 0.0095 39/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8695 - reader cost: 0.0093 40/125 [========>.....................] - ETA: 2:38 - batch_cost: 1.8690 - reader cost: 0.0091 41/125 [========>.....................] - ETA: 2:36 - batch_cost: 1.8687 - reader cost: 0.0088 42/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.8682 - reader cost: 0.0086 43/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.8679 - reader cost: 0.0084 44/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8676 - reader cost: 0.0083 45/125 [=========>....................] - ETA: 2:29 - batch_cost: 1.8673 - reader cost: 0.0081 46/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8673 - reader cost: 0.0079 47/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8674 - reader cost: 0.0077 48/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8672 - reader cost: 0.0076 49/125 [==========>...................] - ETA: 2:21 - batch_cost: 1.8667 - reader cost: 0.0074 50/125 [===========>..................] - ETA: 2:20 - batch_cost: 1.8665 - reader cost: 0.0073 51/125 [===========>..................] - ETA: 2:18 - batch_cost: 1.8664 - reader cost: 0.0071 52/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8660 - reader cost: 0.0070 53/125 [===========>..................] - ETA: 2:14 - 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[==============>...............] - ETA: 1:53 - batch_cost: 1.8594 - reader cost: 0.0057 65/125 [==============>...............] - ETA: 1:51 - batch_cost: 1.8588 - reader cost: 0.0056 66/125 [==============>...............] - ETA: 1:49 - batch_cost: 1.8581 - reader cost: 0.0056 67/125 [===============>..............] - ETA: 1:47 - batch_cost: 1.8570 - reader cost: 0.0055 68/125 [===============>..............] - ETA: 1:45 - batch_cost: 1.8566 - reader cost: 0.0054 69/125 [===============>..............] - ETA: 1:44 - batch_cost: 1.8569 - reader cost: 0.0053 70/125 [===============>..............] - ETA: 1:42 - batch_cost: 1.8562 - reader cost: 0.0053 71/125 [================>.............] - ETA: 1:40 - batch_cost: 1.8560 - reader cost: 0.0052 72/125 [================>.............] - ETA: 1:38 - batch_cost: 1.8558 - reader cost: 0.0051 73/125 [================>.............] - ETA: 1:36 - batch_cost: 1.8552 - reader cost: 0.0050 74/125 [================>.............] - ETA: 1:34 - batch_cost: 1.8549 - reader cost: 0.0050 75/125 [=================>............] - ETA: 1:32 - batch_cost: 1.8547 - reader cost: 0.0049 76/125 [=================>............] - ETA: 1:30 - batch_cost: 1.8543 - reader cost: 0.0049 77/125 [=================>............] - ETA: 1:28 - batch_cost: 1.8538 - reader cost: 0.0048 78/125 [=================>............] - ETA: 1:27 - batch_cost: 1.8533 - reader cost: 0.0047 79/125 [=================>............] - ETA: 1:25 - batch_cost: 1.8529 - reader cost: 0.0047 80/125 [==================>...........] - ETA: 1:23 - batch_cost: 1.8524 - reader cost: 0.0046 81/125 [==================>...........] - ETA: 1:21 - batch_cost: 1.8519 - reader cost: 0.0046 82/125 [==================>...........] - ETA: 1:19 - batch_cost: 1.8516 - reader cost: 0.0045 83/125 [==================>...........] - ETA: 1:17 - batch_cost: 1.8510 - reader cost: 0.0045 84/125 [===================>..........] - ETA: 1:15 - batch_cost: 1.8506 - reader cost: 0.0044 85/125 [===================>..........] - ETA: 1:14 - batch_cost: 1.8503 - reader cost: 0.0044 86/125 [===================>..........] - ETA: 1:12 - batch_cost: 1.8499 - reader cost: 0.0043 87/125 [===================>..........] - ETA: 1:10 - batch_cost: 1.8496 - reader cost: 0.0043 88/125 [====================>.........] - ETA: 1:08 - batch_cost: 1.8494 - reader cost: 0.0042 89/125 [====================>.........] - ETA: 1:06 - batch_cost: 1.8494 - reader cost: 0.0042 90/125 [====================>.........] - ETA: 1:04 - batch_cost: 1.8494 - reader cost: 0.0041 91/125 [====================>.........] - ETA: 1:02 - batch_cost: 1.8494 - reader cost: 0.0041 92/125 [=====================>........] - ETA: 1:01 - batch_cost: 1.8494 - reader cost: 0.0040 93/125 [=====================>........] - ETA: 59s - batch_cost: 1.8495 - reader cost: 0.0040  94/125 [=====================>........] - ETA: 57s - batch_cost: 1.8495 - reader cost: 0.0040 95/125 [=====================>........] - ETA: 55s - batch_cost: 1.8497 - reader cost: 0.0039 96/125 [======================>.......] - ETA: 53s - batch_cost: 1.8499 - reader cost: 0.0039 97/125 [======================>.......] - ETA: 51s - batch_cost: 1.8499 - reader cost: 0.0038 98/125 [======================>.......] - ETA: 49s - batch_cost: 1.8499 - reader cost: 0.0038 99/125 [======================>.......] - ETA: 48s - batch_cost: 1.8499 - reader cost: 0.0038 100/125 [=======================>......] - ETA: 46s - batch_cost: 1.8501 - reader cost: 0.0037 101/125 [=======================>......] - ETA: 44s - batch_cost: 1.8501 - reader cost: 0.0037 102/125 [=======================>......] - ETA: 42s - batch_cost: 1.8502 - reader cost: 0.0037 103/125 [=======================>......] - ETA: 40s - batch_cost: 1.8501 - reader cost: 0.0036 104/125 [=======================>......] - ETA: 38s - batch_cost: 1.8502 - reader cost: 0.0036 105/125 [========================>.....] - ETA: 37s - batch_cost: 1.8503 - reader cost: 0.0036 106/125 [========================>.....] - ETA: 35s - batch_cost: 1.8503 - reader cost: 0.0035 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8502 - reader cost: 0.0035 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8501 - reader cost: 0.0035 109/125 [=========================>....] - ETA: 29s - batch_cost: 1.8501 - reader cost: 0.0034 110/125 [=========================>....] - ETA: 27s - batch_cost: 1.8501 - reader cost: 0.0034 111/125 [=========================>....] - ETA: 25s - batch_cost: 1.8501 - reader cost: 0.0034 112/125 [=========================>....] - ETA: 24s - batch_cost: 1.8500 - reader cost: 0.0034 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8500 - reader cost: 0.0033 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8499 - reader cost: 0.0033 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8497 - reader cost: 0.0033 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8496 - reader cost: 0.0032 117/125 [===========================>..] - ETA: 14s - batch_cost: 1.8496 - reader cost: 0.0032 118/125 [===========================>..] - ETA: 12s - batch_cost: 1.8494 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8496 - reader cost: 0.0032 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8496 - reader cost: 0.0031  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8496 - reader cost: 0.0031 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8497 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8497 - reader cost: 0.0031 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8494 - reader cost: 0.0030 125/125 [==============================] - 231s 2s/step - batch_cost: 1.8490 - reader cost: 0.0030 2021-08-22 12:38:16 [INFO] [EVAL] #Images: 500 mIoU: 0.8114 Acc: 0.9651 Kappa: 0.9548 2021-08-22 12:38:16 [INFO] [EVAL] Class IoU: [0.9824 0.862 0.9331 0.619 0.6335 0.6868 0.7493 0.8185 0.9311 0.6676 0.9565 0.8402 0.6453 0.9568 0.8483 0.9127 0.8586 0.7179 0.7972] 2021-08-22 12:38:16 [INFO] [EVAL] Class Acc: [0.9953 0.8992 0.96 0.8749 0.8758 0.8388 0.8577 0.9127 0.9593 0.8493 0.9736 0.9024 0.8198 0.9759 0.9218 0.9588 0.9547 0.8778 0.8707] 2021-08-22 12:38:19 [INFO] [EVAL] The model with the best validation mIoU (0.8130) was saved at iter 56000. 2021-08-22 12:38:30 [INFO] [TRAIN] epoch: 183, iter: 68010/160000, loss: 0.0606, lr: 0.000034, batch_cost: 1.1851, reader_cost: 0.00105, ips: 1.6876 samples/sec | ETA 30:16:59 2021-08-22 12:38:42 [INFO] [TRAIN] epoch: 183, iter: 68020/160000, loss: 0.0654, lr: 0.000034, batch_cost: 1.1880, reader_cost: 0.00017, ips: 1.6836 samples/sec | ETA 30:21:08 2021-08-22 12:38:54 [INFO] [TRAIN] epoch: 183, iter: 68030/160000, loss: 0.0584, lr: 0.000034, batch_cost: 1.1900, reader_cost: 0.00018, ips: 1.6807 samples/sec | ETA 30:24:01 2021-08-22 12:39:06 [INFO] [TRAIN] epoch: 183, iter: 68040/160000, loss: 0.0563, lr: 0.000034, batch_cost: 1.1936, reader_cost: 0.00017, ips: 1.6755 samples/sec | ETA 30:29:27 2021-08-22 12:39:18 [INFO] [TRAIN] epoch: 183, iter: 68050/160000, loss: 0.0531, lr: 0.000034, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6792 samples/sec | ETA 30:25:16 2021-08-22 12:39:30 [INFO] [TRAIN] epoch: 183, iter: 68060/160000, loss: 0.0612, lr: 0.000034, batch_cost: 1.2024, reader_cost: 0.00017, ips: 1.6633 samples/sec | ETA 30:42:28 2021-08-22 12:39:42 [INFO] [TRAIN] epoch: 183, iter: 68070/160000, loss: 0.0585, lr: 0.000034, batch_cost: 1.1715, reader_cost: 0.00061, ips: 1.7073 samples/sec | ETA 29:54:53 2021-08-22 12:39:56 [INFO] [TRAIN] epoch: 184, iter: 68080/160000, loss: 0.0724, lr: 0.000034, batch_cost: 1.3728, reader_cost: 0.18413, ips: 1.4569 samples/sec | ETA 35:03:06 2021-08-22 12:40:07 [INFO] [TRAIN] epoch: 184, iter: 68090/160000, loss: 0.0640, lr: 0.000034, batch_cost: 1.1911, reader_cost: 0.00065, ips: 1.6792 samples/sec | ETA 30:24:31 2021-08-22 12:40:19 [INFO] [TRAIN] epoch: 184, iter: 68100/160000, loss: 0.0492, lr: 0.000034, batch_cost: 1.1886, reader_cost: 0.00017, ips: 1.6827 samples/sec | ETA 30:20:30 2021-08-22 12:40:31 [INFO] [TRAIN] epoch: 184, iter: 68110/160000, loss: 0.0631, lr: 0.000034, batch_cost: 1.1883, reader_cost: 0.00017, ips: 1.6831 samples/sec | ETA 30:19:54 2021-08-22 12:40:43 [INFO] [TRAIN] epoch: 184, iter: 68120/160000, loss: 0.0538, lr: 0.000034, batch_cost: 1.1919, reader_cost: 0.00066, ips: 1.6780 samples/sec | ETA 30:25:09 2021-08-22 12:40:55 [INFO] [TRAIN] epoch: 184, iter: 68130/160000, loss: 0.0564, lr: 0.000034, batch_cost: 1.1949, reader_cost: 0.00018, ips: 1.6738 samples/sec | ETA 30:29:37 2021-08-22 12:41:07 [INFO] [TRAIN] epoch: 184, iter: 68140/160000, loss: 0.0678, lr: 0.000034, batch_cost: 1.1857, reader_cost: 0.00017, ips: 1.6867 samples/sec | ETA 30:15:20 2021-08-22 12:41:19 [INFO] [TRAIN] epoch: 184, iter: 68150/160000, loss: 0.0649, lr: 0.000034, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6827 samples/sec | ETA 30:19:26 2021-08-22 12:41:31 [INFO] [TRAIN] epoch: 184, iter: 68160/160000, loss: 0.0684, lr: 0.000034, batch_cost: 1.1799, reader_cost: 0.00017, ips: 1.6951 samples/sec | ETA 30:05:58 2021-08-22 12:41:42 [INFO] [TRAIN] epoch: 184, iter: 68170/160000, loss: 0.0684, lr: 0.000034, batch_cost: 1.1856, reader_cost: 0.00018, ips: 1.6869 samples/sec | ETA 30:14:34 2021-08-22 12:41:54 [INFO] [TRAIN] epoch: 184, iter: 68180/160000, loss: 0.0720, lr: 0.000034, batch_cost: 1.1867, reader_cost: 0.00017, ips: 1.6853 samples/sec | ETA 30:16:04 2021-08-22 12:42:06 [INFO] [TRAIN] epoch: 184, iter: 68190/160000, loss: 0.0518, lr: 0.000034, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6797 samples/sec | ETA 30:21:58 2021-08-22 12:42:18 [INFO] [TRAIN] epoch: 184, iter: 68200/160000, loss: 0.0523, lr: 0.000034, batch_cost: 1.2023, reader_cost: 0.00016, ips: 1.6635 samples/sec | ETA 30:39:31 2021-08-22 12:42:30 [INFO] [TRAIN] epoch: 184, iter: 68210/160000, loss: 0.0644, lr: 0.000034, batch_cost: 1.2001, reader_cost: 0.00017, ips: 1.6665 samples/sec | ETA 30:35:58 2021-08-22 12:42:42 [INFO] [TRAIN] epoch: 184, iter: 68220/160000, loss: 0.0603, lr: 0.000034, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 30:17:26 2021-08-22 12:42:54 [INFO] [TRAIN] epoch: 184, iter: 68230/160000, loss: 0.0620, lr: 0.000034, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 30:23:38 2021-08-22 12:43:06 [INFO] [TRAIN] epoch: 184, iter: 68240/160000, loss: 0.0529, lr: 0.000034, batch_cost: 1.1870, reader_cost: 0.00017, ips: 1.6849 samples/sec | ETA 30:15:17 2021-08-22 12:43:18 [INFO] [TRAIN] epoch: 184, iter: 68250/160000, loss: 0.0679, lr: 0.000034, batch_cost: 1.1951, reader_cost: 0.00017, ips: 1.6735 samples/sec | ETA 30:27:32 2021-08-22 12:43:30 [INFO] [TRAIN] epoch: 184, iter: 68260/160000, loss: 0.0700, lr: 0.000034, batch_cost: 1.1880, reader_cost: 0.00017, ips: 1.6835 samples/sec | ETA 30:16:25 2021-08-22 12:43:42 [INFO] [TRAIN] epoch: 184, iter: 68270/160000, loss: 0.0680, lr: 0.000034, batch_cost: 1.2114, reader_cost: 0.00019, ips: 1.6510 samples/sec | ETA 30:52:01 2021-08-22 12:43:54 [INFO] [TRAIN] epoch: 184, iter: 68280/160000, loss: 0.0645, lr: 0.000034, batch_cost: 1.1862, reader_cost: 0.00017, ips: 1.6860 samples/sec | ETA 30:13:22 2021-08-22 12:44:06 [INFO] [TRAIN] epoch: 184, iter: 68290/160000, loss: 0.0659, lr: 0.000034, batch_cost: 1.1872, reader_cost: 0.00017, ips: 1.6846 samples/sec | ETA 30:14:41 2021-08-22 12:44:18 [INFO] [TRAIN] epoch: 184, iter: 68300/160000, loss: 0.0735, lr: 0.000034, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 30:24:24 2021-08-22 12:44:29 [INFO] [TRAIN] epoch: 184, iter: 68310/160000, loss: 0.0627, lr: 0.000034, batch_cost: 1.1855, reader_cost: 0.00016, ips: 1.6871 samples/sec | ETA 30:11:36 2021-08-22 12:44:41 [INFO] [TRAIN] epoch: 184, iter: 68320/160000, loss: 0.0592, lr: 0.000034, batch_cost: 1.2057, reader_cost: 0.00019, ips: 1.6587 samples/sec | ETA 30:42:22 2021-08-22 12:44:53 [INFO] [TRAIN] epoch: 184, iter: 68330/160000, loss: 0.0680, lr: 0.000034, batch_cost: 1.1889, reader_cost: 0.00018, ips: 1.6823 samples/sec | ETA 30:16:24 2021-08-22 12:45:05 [INFO] [TRAIN] epoch: 184, iter: 68340/160000, loss: 0.0643, lr: 0.000034, batch_cost: 1.1921, reader_cost: 0.00018, ips: 1.6777 samples/sec | ETA 30:21:07 2021-08-22 12:45:17 [INFO] [TRAIN] epoch: 184, iter: 68350/160000, loss: 0.0661, lr: 0.000034, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 30:27:24 2021-08-22 12:45:29 [INFO] [TRAIN] epoch: 184, iter: 68360/160000, loss: 0.0624, lr: 0.000034, batch_cost: 1.1846, reader_cost: 0.00016, ips: 1.6884 samples/sec | ETA 30:09:14 2021-08-22 12:45:41 [INFO] [TRAIN] epoch: 184, iter: 68370/160000, loss: 0.1042, lr: 0.000034, batch_cost: 1.1859, reader_cost: 0.00016, ips: 1.6865 samples/sec | ETA 30:11:00 2021-08-22 12:45:53 [INFO] [TRAIN] epoch: 184, iter: 68380/160000, loss: 0.0603, lr: 0.000034, batch_cost: 1.1870, reader_cost: 0.00016, ips: 1.6849 samples/sec | ETA 30:12:36 2021-08-22 12:46:05 [INFO] [TRAIN] epoch: 184, iter: 68390/160000, loss: 0.0631, lr: 0.000034, batch_cost: 1.1955, reader_cost: 0.00016, ips: 1.6730 samples/sec | ETA 30:25:16 2021-08-22 12:46:17 [INFO] [TRAIN] epoch: 184, iter: 68400/160000, loss: 0.0687, lr: 0.000034, batch_cost: 1.1952, reader_cost: 0.00016, ips: 1.6734 samples/sec | ETA 30:24:35 2021-08-22 12:46:29 [INFO] [TRAIN] epoch: 184, iter: 68410/160000, loss: 0.0762, lr: 0.000034, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 30:20:05 2021-08-22 12:46:41 [INFO] [TRAIN] epoch: 184, iter: 68420/160000, loss: 0.0795, lr: 0.000034, batch_cost: 1.1973, reader_cost: 0.00019, ips: 1.6704 samples/sec | ETA 30:27:28 2021-08-22 12:46:53 [INFO] [TRAIN] epoch: 184, iter: 68430/160000, loss: 0.0687, lr: 0.000034, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6763 samples/sec | ETA 30:20:53 2021-08-22 12:47:04 [INFO] [TRAIN] epoch: 184, iter: 68440/160000, loss: 0.0709, lr: 0.000034, batch_cost: 1.1926, reader_cost: 0.00015, ips: 1.6771 samples/sec | ETA 30:19:51 2021-08-22 12:47:18 [INFO] [TRAIN] epoch: 185, iter: 68450/160000, loss: 0.0667, lr: 0.000034, batch_cost: 1.3793, reader_cost: 0.17168, ips: 1.4500 samples/sec | ETA 35:04:36 2021-08-22 12:47:30 [INFO] [TRAIN] epoch: 185, iter: 68460/160000, loss: 0.0651, lr: 0.000034, batch_cost: 1.1955, reader_cost: 0.00060, ips: 1.6729 samples/sec | ETA 30:23:58 2021-08-22 12:47:42 [INFO] [TRAIN] epoch: 185, iter: 68470/160000, loss: 0.0539, lr: 0.000034, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6750 samples/sec | ETA 30:21:30 2021-08-22 12:47:54 [INFO] [TRAIN] epoch: 185, iter: 68480/160000, loss: 0.0609, lr: 0.000034, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 30:15:51 2021-08-22 12:48:06 [INFO] [TRAIN] epoch: 185, iter: 68490/160000, loss: 0.0690, lr: 0.000034, batch_cost: 1.1865, reader_cost: 0.00017, ips: 1.6856 samples/sec | ETA 30:09:35 2021-08-22 12:48:18 [INFO] [TRAIN] epoch: 185, iter: 68500/160000, loss: 0.0633, lr: 0.000034, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6838 samples/sec | ETA 30:11:25 2021-08-22 12:48:30 [INFO] [TRAIN] epoch: 185, iter: 68510/160000, loss: 0.0568, lr: 0.000034, batch_cost: 1.1823, reader_cost: 0.00018, ips: 1.6916 samples/sec | ETA 30:02:51 2021-08-22 12:48:42 [INFO] [TRAIN] epoch: 185, iter: 68520/160000, loss: 0.0622, lr: 0.000034, batch_cost: 1.1987, reader_cost: 0.00018, ips: 1.6685 samples/sec | ETA 30:27:37 2021-08-22 12:48:54 [INFO] [TRAIN] epoch: 185, iter: 68530/160000, loss: 0.0517, lr: 0.000034, batch_cost: 1.2032, reader_cost: 0.00018, ips: 1.6622 samples/sec | ETA 30:34:17 2021-08-22 12:49:06 [INFO] [TRAIN] epoch: 185, iter: 68540/160000, loss: 0.0770, lr: 0.000034, batch_cost: 1.2066, reader_cost: 0.00020, ips: 1.6575 samples/sec | ETA 30:39:19 2021-08-22 12:49:18 [INFO] [TRAIN] epoch: 185, iter: 68550/160000, loss: 0.0593, lr: 0.000034, batch_cost: 1.2055, reader_cost: 0.00020, ips: 1.6591 samples/sec | ETA 30:37:19 2021-08-22 12:49:30 [INFO] [TRAIN] epoch: 185, iter: 68560/160000, loss: 0.0615, lr: 0.000034, batch_cost: 1.2111, reader_cost: 0.00018, ips: 1.6514 samples/sec | ETA 30:45:42 2021-08-22 12:49:42 [INFO] [TRAIN] epoch: 185, iter: 68570/160000, loss: 0.0515, lr: 0.000034, batch_cost: 1.1926, reader_cost: 0.00017, ips: 1.6770 samples/sec | ETA 30:17:22 2021-08-22 12:49:54 [INFO] [TRAIN] epoch: 185, iter: 68580/160000, loss: 0.0694, lr: 0.000034, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 30:21:35 2021-08-22 12:50:06 [INFO] [TRAIN] epoch: 185, iter: 68590/160000, loss: 0.0582, lr: 0.000034, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 30:13:38 2021-08-22 12:50:18 [INFO] [TRAIN] epoch: 185, iter: 68600/160000, loss: 0.0647, lr: 0.000034, batch_cost: 1.1893, reader_cost: 0.00016, 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[INFO] [TRAIN] epoch: 185, iter: 68720/160000, loss: 0.0586, lr: 0.000034, batch_cost: 1.1963, reader_cost: 0.00018, ips: 1.6718 samples/sec | ETA 30:20:00 2021-08-22 12:52:52 [INFO] [TRAIN] epoch: 185, iter: 68730/160000, loss: 0.0699, lr: 0.000034, batch_cost: 1.1955, reader_cost: 0.00018, ips: 1.6730 samples/sec | ETA 30:18:28 2021-08-22 12:53:04 [INFO] [TRAIN] epoch: 185, iter: 68740/160000, loss: 0.0734, lr: 0.000034, batch_cost: 1.1862, reader_cost: 0.00017, ips: 1.6860 samples/sec | ETA 30:04:14 2021-08-22 12:53:16 [INFO] [TRAIN] epoch: 185, iter: 68750/160000, loss: 0.0585, lr: 0.000034, batch_cost: 1.1963, reader_cost: 0.00017, ips: 1.6718 samples/sec | ETA 30:19:24 2021-08-22 12:53:28 [INFO] [TRAIN] epoch: 185, iter: 68760/160000, loss: 0.0660, lr: 0.000034, batch_cost: 1.1927, reader_cost: 0.00017, ips: 1.6769 samples/sec | ETA 30:13:42 2021-08-22 12:53:40 [INFO] [TRAIN] epoch: 185, iter: 68770/160000, loss: 0.0670, lr: 0.000034, batch_cost: 1.1916, reader_cost: 0.00016, 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[INFO] [TRAIN] epoch: 186, iter: 68890/160000, loss: 0.0625, lr: 0.000034, batch_cost: 1.1859, reader_cost: 0.00018, ips: 1.6865 samples/sec | ETA 30:00:48 2021-08-22 12:56:17 [INFO] [TRAIN] epoch: 186, iter: 68900/160000, loss: 0.0637, lr: 0.000034, batch_cost: 1.1870, reader_cost: 0.00018, ips: 1.6849 samples/sec | ETA 30:02:15 2021-08-22 12:56:28 [INFO] [TRAIN] epoch: 186, iter: 68910/160000, loss: 0.0563, lr: 0.000034, batch_cost: 1.1912, reader_cost: 0.00018, ips: 1.6789 samples/sec | ETA 30:08:28 2021-08-22 12:56:40 [INFO] [TRAIN] epoch: 186, iter: 68920/160000, loss: 0.0618, lr: 0.000034, batch_cost: 1.1930, reader_cost: 0.00018, ips: 1.6765 samples/sec | ETA 30:10:57 2021-08-22 12:56:52 [INFO] [TRAIN] epoch: 186, iter: 68930/160000, loss: 0.0663, lr: 0.000034, batch_cost: 1.1938, reader_cost: 0.00018, ips: 1.6753 samples/sec | ETA 30:12:03 2021-08-22 12:57:04 [INFO] [TRAIN] epoch: 186, iter: 68940/160000, loss: 0.0638, lr: 0.000034, batch_cost: 1.1894, reader_cost: 0.00018, 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[INFO] [TRAIN] epoch: 186, iter: 69060/160000, loss: 0.0611, lr: 0.000034, batch_cost: 1.2001, reader_cost: 0.00017, ips: 1.6665 samples/sec | ETA 30:18:56 2021-08-22 12:59:40 [INFO] [TRAIN] epoch: 186, iter: 69070/160000, loss: 0.0540, lr: 0.000034, batch_cost: 1.2068, reader_cost: 0.00019, ips: 1.6573 samples/sec | ETA 30:28:53 2021-08-22 12:59:52 [INFO] [TRAIN] epoch: 186, iter: 69080/160000, loss: 0.0735, lr: 0.000034, batch_cost: 1.2091, reader_cost: 0.00019, ips: 1.6542 samples/sec | ETA 30:32:08 2021-08-22 13:00:04 [INFO] [TRAIN] epoch: 186, iter: 69090/160000, loss: 0.0618, lr: 0.000034, batch_cost: 1.2062, reader_cost: 0.00019, ips: 1.6581 samples/sec | ETA 30:27:35 2021-08-22 13:00:16 [INFO] [TRAIN] epoch: 186, iter: 69100/160000, loss: 0.0726, lr: 0.000034, batch_cost: 1.1920, reader_cost: 0.00018, ips: 1.6778 samples/sec | ETA 30:05:53 2021-08-22 13:00:28 [INFO] [TRAIN] epoch: 186, iter: 69110/160000, loss: 0.0557, lr: 0.000034, batch_cost: 1.1910, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 187, iter: 69230/160000, loss: 0.0615, lr: 0.000034, batch_cost: 1.1864, reader_cost: 0.00017, ips: 1.6858 samples/sec | ETA 29:54:49 2021-08-22 13:03:05 [INFO] [TRAIN] epoch: 187, iter: 69240/160000, loss: 0.0506, lr: 0.000034, batch_cost: 1.1785, reader_cost: 0.00016, ips: 1.6971 samples/sec | ETA 29:42:39 2021-08-22 13:03:16 [INFO] [TRAIN] epoch: 187, iter: 69250/160000, loss: 0.0629, lr: 0.000034, batch_cost: 1.1917, reader_cost: 0.00015, ips: 1.6783 samples/sec | ETA 30:02:28 2021-08-22 13:03:28 [INFO] [TRAIN] epoch: 187, iter: 69260/160000, loss: 0.0638, lr: 0.000034, batch_cost: 1.1943, reader_cost: 0.00016, ips: 1.6747 samples/sec | ETA 30:06:07 2021-08-22 13:03:40 [INFO] [TRAIN] epoch: 187, iter: 69270/160000, loss: 0.0631, lr: 0.000034, batch_cost: 1.1873, reader_cost: 0.00016, ips: 1.6844 samples/sec | ETA 29:55:27 2021-08-22 13:03:52 [INFO] [TRAIN] epoch: 187, iter: 69280/160000, loss: 0.0629, lr: 0.000034, batch_cost: 1.1903, reader_cost: 0.00016, 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[INFO] [TRAIN] epoch: 187, iter: 69400/160000, loss: 0.0722, lr: 0.000034, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 29:59:12 2021-08-22 13:06:28 [INFO] [TRAIN] epoch: 187, iter: 69410/160000, loss: 0.0608, lr: 0.000034, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 29:54:27 2021-08-22 13:06:40 [INFO] [TRAIN] epoch: 187, iter: 69420/160000, loss: 0.0606, lr: 0.000034, batch_cost: 1.1930, reader_cost: 0.00016, ips: 1.6764 samples/sec | ETA 30:01:04 2021-08-22 13:06:51 [INFO] [TRAIN] epoch: 187, iter: 69430/160000, loss: 0.0581, lr: 0.000034, batch_cost: 1.1858, reader_cost: 0.00016, ips: 1.6867 samples/sec | ETA 29:49:54 2021-08-22 13:07:03 [INFO] [TRAIN] epoch: 187, iter: 69440/160000, loss: 0.0617, lr: 0.000034, batch_cost: 1.1944, reader_cost: 0.00016, ips: 1.6745 samples/sec | ETA 30:02:46 2021-08-22 13:07:15 [INFO] [TRAIN] epoch: 187, iter: 69450/160000, loss: 0.0595, lr: 0.000034, batch_cost: 1.1955, reader_cost: 0.00016, 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[INFO] [TRAIN] epoch: 188, iter: 69570/160000, loss: 0.0597, lr: 0.000034, batch_cost: 1.3897, reader_cost: 0.16494, ips: 1.4391 samples/sec | ETA 34:54:33 2021-08-22 13:09:52 [INFO] [TRAIN] epoch: 188, iter: 69580/160000, loss: 0.0600, lr: 0.000034, batch_cost: 1.1971, reader_cost: 0.00067, ips: 1.6707 samples/sec | ETA 30:04:04 2021-08-22 13:10:04 [INFO] [TRAIN] epoch: 188, iter: 69590/160000, loss: 0.0647, lr: 0.000034, batch_cost: 1.1927, reader_cost: 0.00018, ips: 1.6769 samples/sec | ETA 29:57:10 2021-08-22 13:10:16 [INFO] [TRAIN] epoch: 188, iter: 69600/160000, loss: 0.0601, lr: 0.000034, batch_cost: 1.1835, reader_cost: 0.00017, ips: 1.6898 samples/sec | ETA 29:43:11 2021-08-22 13:10:28 [INFO] [TRAIN] epoch: 188, iter: 69610/160000, loss: 0.0645, lr: 0.000034, batch_cost: 1.1909, reader_cost: 0.00018, ips: 1.6794 samples/sec | ETA 29:54:02 2021-08-22 13:10:40 [INFO] [TRAIN] epoch: 188, iter: 69620/160000, loss: 0.0571, lr: 0.000034, batch_cost: 1.1918, reader_cost: 0.00016, 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lr: 0.000034, batch_cost: 1.1998, reader_cost: 0.00018, ips: 1.6670 samples/sec | ETA 30:06:01 2021-08-22 13:12:03 [INFO] [TRAIN] epoch: 188, iter: 69690/160000, loss: 0.0653, lr: 0.000034, batch_cost: 1.1993, reader_cost: 0.00019, ips: 1.6676 samples/sec | ETA 30:05:08 2021-08-22 13:12:15 [INFO] [TRAIN] epoch: 188, iter: 69700/160000, loss: 0.0671, lr: 0.000034, batch_cost: 1.1967, reader_cost: 0.00016, ips: 1.6713 samples/sec | ETA 30:00:58 2021-08-22 13:12:27 [INFO] [TRAIN] epoch: 188, iter: 69710/160000, loss: 0.0529, lr: 0.000034, batch_cost: 1.1865, reader_cost: 0.00017, ips: 1.6856 samples/sec | ETA 29:45:33 2021-08-22 13:12:39 [INFO] [TRAIN] epoch: 188, iter: 69720/160000, loss: 0.0530, lr: 0.000034, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 29:47:02 2021-08-22 13:12:51 [INFO] [TRAIN] epoch: 188, iter: 69730/160000, loss: 0.0660, lr: 0.000034, batch_cost: 1.1918, reader_cost: 0.00016, ips: 1.6782 samples/sec | ETA 29:53:00 2021-08-22 13:13:03 [INFO] [TRAIN] epoch: 188, iter: 69740/160000, loss: 0.0579, lr: 0.000034, batch_cost: 1.1977, reader_cost: 0.00016, ips: 1.6699 samples/sec | ETA 30:01:42 2021-08-22 13:13:15 [INFO] [TRAIN] epoch: 188, iter: 69750/160000, loss: 0.0604, lr: 0.000034, batch_cost: 1.1934, reader_cost: 0.00017, ips: 1.6758 samples/sec | ETA 29:55:06 2021-08-22 13:13:27 [INFO] [TRAIN] epoch: 188, iter: 69760/160000, loss: 0.0646, lr: 0.000034, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6723 samples/sec | ETA 29:58:41 2021-08-22 13:13:39 [INFO] [TRAIN] epoch: 188, iter: 69770/160000, loss: 0.0595, lr: 0.000034, batch_cost: 1.1960, reader_cost: 0.00016, ips: 1.6722 samples/sec | ETA 29:58:35 2021-08-22 13:13:51 [INFO] [TRAIN] epoch: 188, iter: 69780/160000, loss: 0.0602, lr: 0.000034, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6750 samples/sec | ETA 29:55:26 2021-08-22 13:14:03 [INFO] [TRAIN] epoch: 188, iter: 69790/160000, loss: 0.0661, lr: 0.000034, batch_cost: 1.1924, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 188, iter: 69910/160000, loss: 0.0568, lr: 0.000034, batch_cost: 1.1954, reader_cost: 0.00018, ips: 1.6731 samples/sec | ETA 29:54:52 2021-08-22 13:16:37 [INFO] [TRAIN] epoch: 188, iter: 69920/160000, loss: 0.0602, lr: 0.000034, batch_cost: 1.1933, reader_cost: 0.00020, ips: 1.6760 samples/sec | ETA 29:51:36 2021-08-22 13:16:49 [INFO] [TRAIN] epoch: 188, iter: 69930/160000, loss: 0.0497, lr: 0.000034, batch_cost: 1.1860, reader_cost: 0.00014, ips: 1.6863 samples/sec | ETA 29:40:22 2021-08-22 13:17:03 [INFO] [TRAIN] epoch: 189, iter: 69940/160000, loss: 0.0565, lr: 0.000034, batch_cost: 1.3836, reader_cost: 0.18903, ips: 1.4455 samples/sec | ETA 34:36:43 2021-08-22 13:17:15 [INFO] [TRAIN] epoch: 189, iter: 69950/160000, loss: 0.0633, lr: 0.000034, batch_cost: 1.2087, reader_cost: 0.00062, ips: 1.6547 samples/sec | ETA 30:14:03 2021-08-22 13:17:27 [INFO] [TRAIN] epoch: 189, iter: 69960/160000, loss: 0.0807, lr: 0.000034, batch_cost: 1.1981, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 189, iter: 70080/160000, loss: 0.0638, lr: 0.000034, batch_cost: 1.1912, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 29:45:14 2021-08-22 13:20:02 [INFO] [TRAIN] epoch: 189, iter: 70090/160000, loss: 0.0590, lr: 0.000034, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 29:44:42 2021-08-22 13:20:14 [INFO] [TRAIN] epoch: 189, iter: 70100/160000, loss: 0.0561, lr: 0.000034, batch_cost: 1.1940, reader_cost: 0.00016, ips: 1.6751 samples/sec | ETA 29:48:59 2021-08-22 13:20:26 [INFO] [TRAIN] epoch: 189, iter: 70110/160000, loss: 0.0624, lr: 0.000034, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 29:44:44 2021-08-22 13:20:38 [INFO] [TRAIN] epoch: 189, iter: 70120/160000, loss: 0.0581, lr: 0.000034, batch_cost: 1.1878, reader_cost: 0.00016, ips: 1.6837 samples/sec | ETA 29:39:22 2021-08-22 13:20:50 [INFO] [TRAIN] epoch: 189, iter: 70130/160000, loss: 0.0687, lr: 0.000034, batch_cost: 1.1947, reader_cost: 0.00017, 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[INFO] [TRAIN] epoch: 189, iter: 70250/160000, loss: 0.0638, lr: 0.000034, batch_cost: 1.2108, reader_cost: 0.00017, ips: 1.6518 samples/sec | ETA 30:11:09 2021-08-22 13:23:25 [INFO] [TRAIN] epoch: 189, iter: 70260/160000, loss: 0.0587, lr: 0.000034, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 29:44:24 2021-08-22 13:23:37 [INFO] [TRAIN] epoch: 189, iter: 70270/160000, loss: 0.0699, lr: 0.000034, batch_cost: 1.1915, reader_cost: 0.00016, ips: 1.6785 samples/sec | ETA 29:41:54 2021-08-22 13:23:49 [INFO] [TRAIN] epoch: 189, iter: 70280/160000, loss: 0.0709, lr: 0.000034, batch_cost: 1.2000, reader_cost: 0.00017, ips: 1.6667 samples/sec | ETA 29:54:24 2021-08-22 13:24:01 [INFO] [TRAIN] epoch: 189, iter: 70290/160000, loss: 0.0512, lr: 0.000034, batch_cost: 1.1949, reader_cost: 0.00017, ips: 1.6738 samples/sec | ETA 29:46:31 2021-08-22 13:24:13 [INFO] [TRAIN] epoch: 189, iter: 70300/160000, loss: 0.0528, lr: 0.000034, batch_cost: 1.1897, reader_cost: 0.00015, 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lr: 0.000034, batch_cost: 1.1946, reader_cost: 0.00016, ips: 1.6743 samples/sec | ETA 29:44:40 2021-08-22 13:25:39 [INFO] [TRAIN] epoch: 190, iter: 70370/160000, loss: 0.0614, lr: 0.000034, batch_cost: 1.1963, reader_cost: 0.00016, ips: 1.6718 samples/sec | ETA 29:47:04 2021-08-22 13:25:50 [INFO] [TRAIN] epoch: 190, iter: 70380/160000, loss: 0.0608, lr: 0.000034, batch_cost: 1.1868, reader_cost: 0.00016, ips: 1.6852 samples/sec | ETA 29:32:43 2021-08-22 13:26:02 [INFO] [TRAIN] epoch: 190, iter: 70390/160000, loss: 0.0556, lr: 0.000034, batch_cost: 1.1912, reader_cost: 0.00016, ips: 1.6789 samples/sec | ETA 29:39:06 2021-08-22 13:26:14 [INFO] [TRAIN] epoch: 190, iter: 70400/160000, loss: 0.0746, lr: 0.000034, batch_cost: 1.1891, reader_cost: 0.00018, ips: 1.6820 samples/sec | ETA 29:35:40 2021-08-22 13:26:26 [INFO] [TRAIN] epoch: 190, iter: 70410/160000, loss: 0.0570, lr: 0.000034, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6838 samples/sec | ETA 29:33:36 2021-08-22 13:26:38 [INFO] [TRAIN] epoch: 190, iter: 70420/160000, loss: 0.0626, lr: 0.000034, batch_cost: 1.1843, reader_cost: 0.00017, ips: 1.6887 samples/sec | ETA 29:28:10 2021-08-22 13:26:50 [INFO] [TRAIN] epoch: 190, iter: 70430/160000, loss: 0.0666, lr: 0.000034, batch_cost: 1.1888, reader_cost: 0.00018, ips: 1.6824 samples/sec | ETA 29:34:39 2021-08-22 13:27:02 [INFO] [TRAIN] epoch: 190, iter: 70440/160000, loss: 0.0987, lr: 0.000034, batch_cost: 1.1933, reader_cost: 0.00016, ips: 1.6760 samples/sec | ETA 29:41:13 2021-08-22 13:27:14 [INFO] [TRAIN] epoch: 190, iter: 70450/160000, loss: 0.0830, lr: 0.000034, batch_cost: 1.1995, reader_cost: 0.00018, ips: 1.6673 samples/sec | ETA 29:50:17 2021-08-22 13:27:26 [INFO] [TRAIN] epoch: 190, iter: 70460/160000, loss: 0.0701, lr: 0.000034, batch_cost: 1.2051, reader_cost: 0.00017, ips: 1.6596 samples/sec | ETA 29:58:25 2021-08-22 13:27:38 [INFO] [TRAIN] epoch: 190, iter: 70470/160000, loss: 0.0680, lr: 0.000034, batch_cost: 1.2013, reader_cost: 0.00018, 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lr: 0.000034, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6755 samples/sec | ETA 29:39:56 2021-08-22 13:29:02 [INFO] [TRAIN] epoch: 190, iter: 70540/160000, loss: 0.0604, lr: 0.000034, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6826 samples/sec | ETA 29:32:17 2021-08-22 13:29:14 [INFO] [TRAIN] epoch: 190, iter: 70550/160000, loss: 0.0643, lr: 0.000034, batch_cost: 1.1868, reader_cost: 0.00017, ips: 1.6853 samples/sec | ETA 29:29:16 2021-08-22 13:29:25 [INFO] [TRAIN] epoch: 190, iter: 70560/160000, loss: 0.0589, lr: 0.000034, batch_cost: 1.1863, reader_cost: 0.00017, ips: 1.6859 samples/sec | ETA 29:28:22 2021-08-22 13:29:37 [INFO] [TRAIN] epoch: 190, iter: 70570/160000, loss: 0.0730, lr: 0.000034, batch_cost: 1.1886, reader_cost: 0.00017, ips: 1.6826 samples/sec | ETA 29:31:39 2021-08-22 13:29:49 [INFO] [TRAIN] epoch: 190, iter: 70580/160000, loss: 0.0723, lr: 0.000034, batch_cost: 1.1816, reader_cost: 0.00017, ips: 1.6926 samples/sec | ETA 29:21:00 2021-08-22 13:30:01 [INFO] [TRAIN] epoch: 190, iter: 70590/160000, loss: 0.0705, lr: 0.000034, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 29:29:39 2021-08-22 13:30:13 [INFO] [TRAIN] epoch: 190, iter: 70600/160000, loss: 0.0584, lr: 0.000034, batch_cost: 1.1947, reader_cost: 0.00017, ips: 1.6741 samples/sec | ETA 29:40:06 2021-08-22 13:30:25 [INFO] [TRAIN] epoch: 190, iter: 70610/160000, loss: 0.0622, lr: 0.000034, batch_cost: 1.1943, reader_cost: 0.00016, ips: 1.6746 samples/sec | ETA 29:39:17 2021-08-22 13:30:37 [INFO] [TRAIN] epoch: 190, iter: 70620/160000, loss: 0.0481, lr: 0.000034, batch_cost: 1.1970, reader_cost: 0.00016, ips: 1.6709 samples/sec | ETA 29:43:03 2021-08-22 13:30:49 [INFO] [TRAIN] epoch: 190, iter: 70630/160000, loss: 0.0594, lr: 0.000034, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6815 samples/sec | ETA 29:31:39 2021-08-22 13:31:01 [INFO] [TRAIN] epoch: 190, iter: 70640/160000, loss: 0.0733, lr: 0.000034, batch_cost: 1.1963, reader_cost: 0.00017, 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lr: 0.000033, batch_cost: 1.2034, reader_cost: 0.00066, ips: 1.6620 samples/sec | ETA 29:51:02 2021-08-22 13:32:26 [INFO] [TRAIN] epoch: 191, iter: 70710/160000, loss: 0.0586, lr: 0.000033, batch_cost: 1.1866, reader_cost: 0.00018, ips: 1.6855 samples/sec | ETA 29:25:50 2021-08-22 13:32:38 [INFO] [TRAIN] epoch: 191, iter: 70720/160000, loss: 0.0675, lr: 0.000033, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6775 samples/sec | ETA 29:34:03 2021-08-22 13:32:50 [INFO] [TRAIN] epoch: 191, iter: 70730/160000, loss: 0.0632, lr: 0.000033, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 29:37:38 2021-08-22 13:33:02 [INFO] [TRAIN] epoch: 191, iter: 70740/160000, loss: 0.0587, lr: 0.000033, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6820 samples/sec | ETA 29:28:52 2021-08-22 13:33:14 [INFO] [TRAIN] epoch: 191, iter: 70750/160000, loss: 0.0544, lr: 0.000033, batch_cost: 1.1856, reader_cost: 0.00017, ips: 1.6870 samples/sec | ETA 29:23:32 2021-08-22 13:33:26 [INFO] [TRAIN] epoch: 191, iter: 70760/160000, loss: 0.0592, lr: 0.000033, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6820 samples/sec | ETA 29:28:30 2021-08-22 13:33:38 [INFO] [TRAIN] epoch: 191, iter: 70770/160000, loss: 0.0606, lr: 0.000033, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 29:32:00 2021-08-22 13:33:50 [INFO] [TRAIN] epoch: 191, iter: 70780/160000, loss: 0.0452, lr: 0.000033, batch_cost: 1.1892, reader_cost: 0.00017, ips: 1.6819 samples/sec | ETA 29:28:17 2021-08-22 13:34:02 [INFO] [TRAIN] epoch: 191, iter: 70790/160000, loss: 0.0598, lr: 0.000033, batch_cost: 1.2006, reader_cost: 0.00017, ips: 1.6658 samples/sec | ETA 29:45:05 2021-08-22 13:34:14 [INFO] [TRAIN] epoch: 191, iter: 70800/160000, loss: 0.0802, lr: 0.000033, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 29:30:36 2021-08-22 13:34:25 [INFO] [TRAIN] epoch: 191, iter: 70810/160000, loss: 0.0513, lr: 0.000033, batch_cost: 1.1894, reader_cost: 0.00017, 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lr: 0.000033, batch_cost: 1.1949, reader_cost: 0.00016, ips: 1.6738 samples/sec | ETA 29:35:00 2021-08-22 13:35:49 [INFO] [TRAIN] epoch: 191, iter: 70880/160000, loss: 0.0703, lr: 0.000033, batch_cost: 1.1860, reader_cost: 0.00018, ips: 1.6864 samples/sec | ETA 29:21:34 2021-08-22 13:36:01 [INFO] [TRAIN] epoch: 191, iter: 70890/160000, loss: 0.0534, lr: 0.000033, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 29:31:28 2021-08-22 13:36:13 [INFO] [TRAIN] epoch: 191, iter: 70900/160000, loss: 0.0603, lr: 0.000033, batch_cost: 1.1907, reader_cost: 0.00018, ips: 1.6797 samples/sec | ETA 29:28:13 2021-08-22 13:36:25 [INFO] [TRAIN] epoch: 191, iter: 70910/160000, loss: 0.0886, lr: 0.000033, batch_cost: 1.1833, reader_cost: 0.00017, ips: 1.6902 samples/sec | ETA 29:17:00 2021-08-22 13:36:37 [INFO] [TRAIN] epoch: 191, iter: 70920/160000, loss: 0.0705, lr: 0.000033, batch_cost: 1.1863, reader_cost: 0.00016, ips: 1.6859 samples/sec | ETA 29:21:16 2021-08-22 13:36:48 [INFO] [TRAIN] epoch: 191, iter: 70930/160000, loss: 0.0523, lr: 0.000033, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 29:23:47 2021-08-22 13:37:00 [INFO] [TRAIN] epoch: 191, iter: 70940/160000, loss: 0.0720, lr: 0.000033, batch_cost: 1.2041, reader_cost: 0.00017, ips: 1.6610 samples/sec | ETA 29:47:14 2021-08-22 13:37:12 [INFO] [TRAIN] epoch: 191, iter: 70950/160000, loss: 0.0666, lr: 0.000033, batch_cost: 1.1898, reader_cost: 0.00017, ips: 1.6809 samples/sec | ETA 29:25:54 2021-08-22 13:37:24 [INFO] [TRAIN] epoch: 191, iter: 70960/160000, loss: 0.0637, lr: 0.000033, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 29:23:09 2021-08-22 13:37:36 [INFO] [TRAIN] epoch: 191, iter: 70970/160000, loss: 0.0654, lr: 0.000033, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6812 samples/sec | ETA 29:25:09 2021-08-22 13:37:48 [INFO] [TRAIN] epoch: 191, iter: 70980/160000, loss: 0.0593, lr: 0.000033, batch_cost: 1.1932, reader_cost: 0.00016, 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lr: 0.000033, batch_cost: 1.2038, reader_cost: 0.00017, ips: 1.6613 samples/sec | ETA 29:44:54 2021-08-22 13:39:12 [INFO] [TRAIN] epoch: 191, iter: 71050/160000, loss: 0.0623, lr: 0.000033, batch_cost: 1.1623, reader_cost: 0.00012, ips: 1.7207 samples/sec | ETA 28:43:06 2021-08-22 13:39:26 [INFO] [TRAIN] epoch: 192, iter: 71060/160000, loss: 0.0695, lr: 0.000033, batch_cost: 1.3981, reader_cost: 0.17989, ips: 1.4306 samples/sec | ETA 34:32:22 2021-08-22 13:39:38 [INFO] [TRAIN] epoch: 192, iter: 71070/160000, loss: 0.0508, lr: 0.000033, batch_cost: 1.1968, reader_cost: 0.00067, ips: 1.6711 samples/sec | ETA 29:33:51 2021-08-22 13:39:50 [INFO] [TRAIN] epoch: 192, iter: 71080/160000, loss: 0.0630, lr: 0.000033, batch_cost: 1.1899, reader_cost: 0.00018, ips: 1.6809 samples/sec | ETA 29:23:22 2021-08-22 13:40:01 [INFO] [TRAIN] epoch: 192, iter: 71090/160000, loss: 0.0661, lr: 0.000033, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6736 samples/sec | ETA 29:30:51 2021-08-22 13:40:13 [INFO] [TRAIN] epoch: 192, iter: 71100/160000, loss: 0.0640, lr: 0.000033, batch_cost: 1.1999, reader_cost: 0.00018, ips: 1.6668 samples/sec | ETA 29:37:51 2021-08-22 13:40:25 [INFO] [TRAIN] epoch: 192, iter: 71110/160000, loss: 0.0571, lr: 0.000033, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6775 samples/sec | ETA 29:26:20 2021-08-22 13:40:37 [INFO] [TRAIN] epoch: 192, iter: 71120/160000, loss: 0.0704, lr: 0.000033, batch_cost: 1.1845, reader_cost: 0.00017, ips: 1.6885 samples/sec | ETA 29:14:39 2021-08-22 13:40:49 [INFO] [TRAIN] epoch: 192, iter: 71130/160000, loss: 0.0608, lr: 0.000033, batch_cost: 1.1943, reader_cost: 0.00018, ips: 1.6746 samples/sec | ETA 29:29:00 2021-08-22 13:41:01 [INFO] [TRAIN] epoch: 192, iter: 71140/160000, loss: 0.0673, lr: 0.000033, batch_cost: 1.1981, reader_cost: 0.00018, ips: 1.6693 samples/sec | ETA 29:34:25 2021-08-22 13:41:13 [INFO] [TRAIN] epoch: 192, iter: 71150/160000, loss: 0.0737, lr: 0.000033, batch_cost: 1.1962, reader_cost: 0.00017, 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lr: 0.000033, batch_cost: 1.1870, reader_cost: 0.00016, ips: 1.6850 samples/sec | ETA 29:16:31 2021-08-22 13:42:37 [INFO] [TRAIN] epoch: 192, iter: 71220/160000, loss: 0.0567, lr: 0.000033, batch_cost: 1.2091, reader_cost: 0.00016, ips: 1.6542 samples/sec | ETA 29:49:01 2021-08-22 13:42:49 [INFO] [TRAIN] epoch: 192, iter: 71230/160000, loss: 0.0675, lr: 0.000033, batch_cost: 1.2096, reader_cost: 0.00016, ips: 1.6534 samples/sec | ETA 29:49:37 2021-08-22 13:43:01 [INFO] [TRAIN] epoch: 192, iter: 71240/160000, loss: 0.0639, lr: 0.000033, batch_cost: 1.2048, reader_cost: 0.00016, ips: 1.6600 samples/sec | ETA 29:42:20 2021-08-22 13:43:13 [INFO] [TRAIN] epoch: 192, iter: 71250/160000, loss: 0.0643, lr: 0.000033, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6751 samples/sec | ETA 29:26:05 2021-08-22 13:43:25 [INFO] [TRAIN] epoch: 192, iter: 71260/160000, loss: 0.0716, lr: 0.000033, batch_cost: 1.1951, reader_cost: 0.00016, ips: 1.6735 samples/sec | ETA 29:27:33 2021-08-22 13:43:37 [INFO] [TRAIN] epoch: 192, iter: 71270/160000, loss: 0.0559, lr: 0.000033, batch_cost: 1.1942, reader_cost: 0.00016, ips: 1.6748 samples/sec | ETA 29:26:00 2021-08-22 13:43:49 [INFO] [TRAIN] epoch: 192, iter: 71280/160000, loss: 0.0711, lr: 0.000033, batch_cost: 1.1964, reader_cost: 0.00016, ips: 1.6717 samples/sec | ETA 29:29:03 2021-08-22 13:44:01 [INFO] [TRAIN] epoch: 192, iter: 71290/160000, loss: 0.0579, lr: 0.000033, batch_cost: 1.1883, reader_cost: 0.00016, ips: 1.6830 samples/sec | ETA 29:16:58 2021-08-22 13:44:13 [INFO] [TRAIN] epoch: 192, iter: 71300/160000, loss: 0.0592, lr: 0.000033, batch_cost: 1.1951, reader_cost: 0.00017, ips: 1.6735 samples/sec | ETA 29:26:46 2021-08-22 13:44:25 [INFO] [TRAIN] epoch: 192, iter: 71310/160000, loss: 0.0579, lr: 0.000033, batch_cost: 1.1917, reader_cost: 0.00017, ips: 1.6783 samples/sec | ETA 29:21:31 2021-08-22 13:44:37 [INFO] [TRAIN] epoch: 192, iter: 71320/160000, loss: 0.0696, lr: 0.000033, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6808 samples/sec | ETA 29:18:43 2021-08-22 13:44:49 [INFO] [TRAIN] epoch: 192, iter: 71330/160000, loss: 0.0682, lr: 0.000033, batch_cost: 1.1856, reader_cost: 0.00017, ips: 1.6869 samples/sec | ETA 29:12:08 2021-08-22 13:45:00 [INFO] [TRAIN] epoch: 192, iter: 71340/160000, loss: 0.0634, lr: 0.000033, batch_cost: 1.1827, reader_cost: 0.00017, ips: 1.6910 samples/sec | ETA 29:07:38 2021-08-22 13:45:12 [INFO] [TRAIN] epoch: 192, iter: 71350/160000, loss: 0.0699, lr: 0.000033, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 29:14:46 2021-08-22 13:45:24 [INFO] [TRAIN] epoch: 192, iter: 71360/160000, loss: 0.0823, lr: 0.000033, batch_cost: 1.2005, reader_cost: 0.00017, ips: 1.6660 samples/sec | ETA 29:33:29 2021-08-22 13:45:36 [INFO] [TRAIN] epoch: 192, iter: 71370/160000, loss: 0.0531, lr: 0.000033, batch_cost: 1.1979, reader_cost: 0.00017, ips: 1.6695 samples/sec | ETA 29:29:33 2021-08-22 13:45:48 [INFO] [TRAIN] epoch: 192, iter: 71380/160000, loss: 0.0724, lr: 0.000033, batch_cost: 1.1891, reader_cost: 0.00017, ips: 1.6819 samples/sec | ETA 29:16:18 2021-08-22 13:46:00 [INFO] [TRAIN] epoch: 192, iter: 71390/160000, loss: 0.0557, lr: 0.000033, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6731 samples/sec | ETA 29:25:21 2021-08-22 13:46:12 [INFO] [TRAIN] epoch: 192, iter: 71400/160000, loss: 0.0794, lr: 0.000033, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6732 samples/sec | ETA 29:25:01 2021-08-22 13:46:24 [INFO] [TRAIN] epoch: 192, iter: 71410/160000, loss: 0.0642, lr: 0.000033, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6736 samples/sec | ETA 29:24:29 2021-08-22 13:46:36 [INFO] [TRAIN] epoch: 192, iter: 71420/160000, loss: 0.0599, lr: 0.000033, batch_cost: 1.1676, reader_cost: 0.00013, ips: 1.7130 samples/sec | ETA 28:43:42 2021-08-22 13:46:49 [INFO] [TRAIN] epoch: 193, iter: 71430/160000, loss: 0.0581, lr: 0.000033, batch_cost: 1.3719, reader_cost: 0.17238, ips: 1.4578 samples/sec | ETA 33:45:10 2021-08-22 13:47:01 [INFO] [TRAIN] epoch: 193, iter: 71440/160000, loss: 0.0504, lr: 0.000033, batch_cost: 1.1939, reader_cost: 0.00068, ips: 1.6752 samples/sec | ETA 29:22:10 2021-08-22 13:47:13 [INFO] [TRAIN] epoch: 193, iter: 71450/160000, loss: 0.0601, lr: 0.000033, batch_cost: 1.1888, reader_cost: 0.00017, ips: 1.6824 samples/sec | ETA 29:14:27 2021-08-22 13:47:25 [INFO] [TRAIN] epoch: 193, iter: 71460/160000, loss: 0.0579, lr: 0.000033, batch_cost: 1.1991, reader_cost: 0.00017, ips: 1.6679 samples/sec | ETA 29:29:27 2021-08-22 13:47:37 [INFO] [TRAIN] epoch: 193, iter: 71470/160000, loss: 0.0601, lr: 0.000033, batch_cost: 1.1987, reader_cost: 0.00017, ips: 1.6685 samples/sec | ETA 29:28:36 2021-08-22 13:47:49 [INFO] [TRAIN] epoch: 193, iter: 71480/160000, loss: 0.0715, lr: 0.000033, batch_cost: 1.1976, reader_cost: 0.00017, ips: 1.6701 samples/sec | ETA 29:26:47 2021-08-22 13:48:01 [INFO] [TRAIN] epoch: 193, iter: 71490/160000, loss: 0.0536, lr: 0.000033, batch_cost: 1.2016, reader_cost: 0.00017, ips: 1.6645 samples/sec | ETA 29:32:31 2021-08-22 13:48:13 [INFO] [TRAIN] epoch: 193, iter: 71500/160000, loss: 0.0608, lr: 0.000033, batch_cost: 1.1975, reader_cost: 0.00017, ips: 1.6702 samples/sec | ETA 29:26:15 2021-08-22 13:48:25 [INFO] [TRAIN] epoch: 193, iter: 71510/160000, loss: 0.0547, lr: 0.000033, batch_cost: 1.1969, reader_cost: 0.00017, ips: 1.6709 samples/sec | ETA 29:25:16 2021-08-22 13:48:37 [INFO] [TRAIN] epoch: 193, iter: 71520/160000, loss: 0.0636, lr: 0.000033, batch_cost: 1.1937, reader_cost: 0.00017, ips: 1.6755 samples/sec | ETA 29:20:18 2021-08-22 13:48:49 [INFO] [TRAIN] epoch: 193, iter: 71530/160000, loss: 0.0577, lr: 0.000033, batch_cost: 1.1890, reader_cost: 0.00016, ips: 1.6821 samples/sec | ETA 29:13:11 2021-08-22 13:49:01 [INFO] [TRAIN] epoch: 193, iter: 71540/160000, loss: 0.0561, lr: 0.000033, batch_cost: 1.1935, reader_cost: 0.00017, ips: 1.6758 samples/sec | ETA 29:19:33 2021-08-22 13:49:13 [INFO] [TRAIN] epoch: 193, iter: 71550/160000, loss: 0.0507, lr: 0.000033, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6753 samples/sec | ETA 29:19:50 2021-08-22 13:49:25 [INFO] [TRAIN] epoch: 193, iter: 71560/160000, loss: 0.0639, lr: 0.000033, batch_cost: 1.1946, reader_cost: 0.00016, ips: 1.6741 samples/sec | ETA 29:20:54 2021-08-22 13:49:37 [INFO] [TRAIN] epoch: 193, iter: 71570/160000, loss: 0.0753, lr: 0.000033, batch_cost: 1.1885, reader_cost: 0.00016, ips: 1.6828 samples/sec | ETA 29:11:37 2021-08-22 13:49:49 [INFO] [TRAIN] epoch: 193, iter: 71580/160000, loss: 0.0653, lr: 0.000033, batch_cost: 1.1925, reader_cost: 0.00016, ips: 1.6772 samples/sec | ETA 29:17:18 2021-08-22 13:50:00 [INFO] [TRAIN] epoch: 193, iter: 71590/160000, loss: 0.0575, lr: 0.000033, batch_cost: 1.1843, reader_cost: 0.00016, ips: 1.6887 samples/sec | ETA 29:05:07 2021-08-22 13:50:12 [INFO] [TRAIN] epoch: 193, iter: 71600/160000, loss: 0.0630, lr: 0.000033, batch_cost: 1.1851, reader_cost: 0.00016, ips: 1.6876 samples/sec | ETA 29:06:03 2021-08-22 13:50:24 [INFO] [TRAIN] epoch: 193, iter: 71610/160000, loss: 0.0623, lr: 0.000033, batch_cost: 1.1926, reader_cost: 0.00016, ips: 1.6771 samples/sec | ETA 29:16:50 2021-08-22 13:50:36 [INFO] [TRAIN] epoch: 193, iter: 71620/160000, loss: 0.0747, lr: 0.000033, batch_cost: 1.1917, reader_cost: 0.00016, ips: 1.6783 samples/sec | ETA 29:15:21 2021-08-22 13:50:48 [INFO] [TRAIN] epoch: 193, iter: 71630/160000, loss: 0.0767, lr: 0.000033, batch_cost: 1.1862, reader_cost: 0.00018, ips: 1.6861 samples/sec | ETA 29:07:02 2021-08-22 13:51:00 [INFO] [TRAIN] epoch: 193, iter: 71640/160000, loss: 0.0821, lr: 0.000033, batch_cost: 1.1783, reader_cost: 0.00017, ips: 1.6974 samples/sec | ETA 28:55:13 2021-08-22 13:51:12 [INFO] [TRAIN] epoch: 193, iter: 71650/160000, loss: 0.0597, lr: 0.000033, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6813 samples/sec | ETA 29:11:36 2021-08-22 13:51:24 [INFO] [TRAIN] epoch: 193, iter: 71660/160000, loss: 0.0656, lr: 0.000033, batch_cost: 1.2012, reader_cost: 0.00018, ips: 1.6650 samples/sec | ETA 29:28:34 2021-08-22 13:51:36 [INFO] [TRAIN] epoch: 193, iter: 71670/160000, loss: 0.0526, lr: 0.000033, batch_cost: 1.2128, reader_cost: 0.00017, ips: 1.6491 samples/sec | ETA 29:45:23 2021-08-22 13:51:48 [INFO] [TRAIN] epoch: 193, iter: 71680/160000, loss: 0.0615, lr: 0.000033, batch_cost: 1.2155, reader_cost: 0.00018, ips: 1.6455 samples/sec | ETA 29:49:10 2021-08-22 13:52:00 [INFO] [TRAIN] epoch: 193, iter: 71690/160000, loss: 0.0783, lr: 0.000033, batch_cost: 1.2126, reader_cost: 0.00018, ips: 1.6494 samples/sec | ETA 29:44:42 2021-08-22 13:52:12 [INFO] [TRAIN] epoch: 193, iter: 71700/160000, loss: 0.0652, lr: 0.000033, batch_cost: 1.2014, reader_cost: 0.00017, ips: 1.6648 samples/sec | ETA 29:28:01 2021-08-22 13:52:24 [INFO] [TRAIN] epoch: 193, iter: 71710/160000, loss: 0.0716, lr: 0.000033, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6838 samples/sec | ETA 29:07:51 2021-08-22 13:52:36 [INFO] [TRAIN] epoch: 193, iter: 71720/160000, loss: 0.0648, lr: 0.000033, batch_cost: 1.1857, reader_cost: 0.00017, ips: 1.6868 samples/sec | ETA 29:04:34 2021-08-22 13:52:48 [INFO] [TRAIN] epoch: 193, iter: 71730/160000, loss: 0.0623, lr: 0.000033, batch_cost: 1.1941, reader_cost: 0.00016, ips: 1.6749 samples/sec | ETA 29:16:41 2021-08-22 13:53:00 [INFO] [TRAIN] epoch: 193, iter: 71740/160000, loss: 0.0616, lr: 0.000033, batch_cost: 1.1972, reader_cost: 0.00016, ips: 1.6706 samples/sec | ETA 29:21:01 2021-08-22 13:53:12 [INFO] [TRAIN] epoch: 193, iter: 71750/160000, loss: 0.0663, lr: 0.000033, batch_cost: 1.1883, reader_cost: 0.00016, ips: 1.6830 samples/sec | ETA 29:07:49 2021-08-22 13:53:24 [INFO] [TRAIN] epoch: 193, iter: 71760/160000, loss: 0.0651, lr: 0.000033, batch_cost: 1.1989, reader_cost: 0.00017, ips: 1.6682 samples/sec | ETA 29:23:10 2021-08-22 13:53:36 [INFO] [TRAIN] epoch: 193, iter: 71770/160000, loss: 0.0632, lr: 0.000033, batch_cost: 1.1967, reader_cost: 0.00017, ips: 1.6712 samples/sec | ETA 29:19:48 2021-08-22 13:53:47 [INFO] [TRAIN] epoch: 193, iter: 71780/160000, loss: 0.0671, lr: 0.000033, batch_cost: 1.1840, reader_cost: 0.00017, ips: 1.6891 samples/sec | ETA 29:00:55 2021-08-22 13:53:59 [INFO] [TRAIN] epoch: 193, iter: 71790/160000, loss: 0.0578, lr: 0.000033, batch_cost: 1.1713, reader_cost: 0.00015, ips: 1.7075 samples/sec | ETA 28:42:03 2021-08-22 13:54:13 [INFO] [TRAIN] epoch: 194, iter: 71800/160000, loss: 0.0763, lr: 0.000033, batch_cost: 1.3789, reader_cost: 0.17641, ips: 1.4504 samples/sec | ETA 33:47:03 2021-08-22 13:54:25 [INFO] [TRAIN] epoch: 194, iter: 71810/160000, loss: 0.0684, lr: 0.000033, batch_cost: 1.1982, reader_cost: 0.00065, ips: 1.6691 samples/sec | ETA 29:21:13 2021-08-22 13:54:37 [INFO] [TRAIN] epoch: 194, iter: 71820/160000, loss: 0.0712, lr: 0.000033, batch_cost: 1.1859, reader_cost: 0.00018, ips: 1.6865 samples/sec | ETA 29:02:50 2021-08-22 13:54:49 [INFO] [TRAIN] epoch: 194, iter: 71830/160000, loss: 0.0643, lr: 0.000033, batch_cost: 1.2052, reader_cost: 0.00020, ips: 1.6595 samples/sec | ETA 29:30:59 2021-08-22 13:55:01 [INFO] [TRAIN] epoch: 194, iter: 71840/160000, loss: 0.0620, lr: 0.000033, batch_cost: 1.1989, reader_cost: 0.00019, ips: 1.6682 samples/sec | ETA 29:21:36 2021-08-22 13:55:13 [INFO] [TRAIN] epoch: 194, iter: 71850/160000, loss: 0.0537, lr: 0.000033, batch_cost: 1.2020, reader_cost: 0.00020, ips: 1.6639 samples/sec | ETA 29:25:53 2021-08-22 13:55:25 [INFO] [TRAIN] epoch: 194, iter: 71860/160000, loss: 0.0850, lr: 0.000033, batch_cost: 1.2029, reader_cost: 0.00019, ips: 1.6627 samples/sec | ETA 29:26:59 2021-08-22 13:55:37 [INFO] [TRAIN] epoch: 194, iter: 71870/160000, loss: 0.0649, lr: 0.000033, batch_cost: 1.2062, reader_cost: 0.00019, ips: 1.6580 samples/sec | ETA 29:31:46 2021-08-22 13:55:49 [INFO] [TRAIN] epoch: 194, iter: 71880/160000, loss: 0.0533, lr: 0.000033, batch_cost: 1.2056, reader_cost: 0.00019, ips: 1.6590 samples/sec | ETA 29:30:33 2021-08-22 13:56:01 [INFO] [TRAIN] epoch: 194, iter: 71890/160000, loss: 0.0586, lr: 0.000033, batch_cost: 1.2059, reader_cost: 0.00019, ips: 1.6585 samples/sec | ETA 29:30:49 2021-08-22 13:56:13 [INFO] [TRAIN] epoch: 194, iter: 71900/160000, loss: 0.0610, lr: 0.000033, batch_cost: 1.2050, reader_cost: 0.00019, ips: 1.6597 samples/sec | ETA 29:29:22 2021-08-22 13:56:25 [INFO] [TRAIN] epoch: 194, iter: 71910/160000, loss: 0.0659, lr: 0.000033, batch_cost: 1.2052, reader_cost: 0.00019, ips: 1.6595 samples/sec | ETA 29:29:21 2021-08-22 13:56:37 [INFO] [TRAIN] epoch: 194, iter: 71920/160000, loss: 0.0626, lr: 0.000033, batch_cost: 1.2108, reader_cost: 0.00019, ips: 1.6518 samples/sec | ETA 29:37:29 2021-08-22 13:56:49 [INFO] [TRAIN] epoch: 194, iter: 71930/160000, loss: 0.0599, lr: 0.000033, batch_cost: 1.2101, reader_cost: 0.00019, ips: 1.6527 samples/sec | ETA 29:36:16 2021-08-22 13:57:01 [INFO] [TRAIN] epoch: 194, iter: 71940/160000, loss: 0.0566, lr: 0.000033, batch_cost: 1.2046, reader_cost: 0.00019, ips: 1.6603 samples/sec | ETA 29:27:55 2021-08-22 13:57:13 [INFO] [TRAIN] epoch: 194, iter: 71950/160000, loss: 0.0531, lr: 0.000033, batch_cost: 1.2017, reader_cost: 0.00018, ips: 1.6643 samples/sec | ETA 29:23:31 2021-08-22 13:57:25 [INFO] [TRAIN] epoch: 194, iter: 71960/160000, loss: 0.0540, lr: 0.000033, batch_cost: 1.1951, reader_cost: 0.00016, ips: 1.6735 samples/sec | ETA 29:13:36 2021-08-22 13:57:37 [INFO] [TRAIN] epoch: 194, iter: 71970/160000, loss: 0.0585, lr: 0.000033, batch_cost: 1.1974, reader_cost: 0.00017, ips: 1.6703 samples/sec | ETA 29:16:43 2021-08-22 13:57:49 [INFO] [TRAIN] epoch: 194, iter: 71980/160000, loss: 0.0474, lr: 0.000033, batch_cost: 1.1947, reader_cost: 0.00017, ips: 1.6741 samples/sec | ETA 29:12:35 2021-08-22 13:58:01 [INFO] [TRAIN] epoch: 194, iter: 71990/160000, loss: 0.0628, lr: 0.000033, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6801 samples/sec | ETA 29:06:10 2021-08-22 13:58:13 [INFO] [TRAIN] epoch: 194, iter: 72000/160000, loss: 0.0702, lr: 0.000033, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6780 samples/sec | ETA 29:08:03 2021-08-22 13:58:13 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 5:03 - batch_cost: 2.4448 - reader cost: 0.4292 2/125 [..............................] - ETA: 4:27 - batch_cost: 2.1720 - reader cost: 0.2147 3/125 [..............................] - ETA: 4:14 - batch_cost: 2.0818 - reader cost: 0.1432 4/125 [..............................] - ETA: 4:06 - batch_cost: 2.0346 - reader cost: 0.1075 5/125 [>.............................] - ETA: 4:00 - batch_cost: 2.0007 - reader cost: 0.0860 6/125 [>.............................] - ETA: 3:55 - batch_cost: 1.9813 - reader cost: 0.0717 7/125 [>.............................] - ETA: 3:52 - batch_cost: 1.9681 - reader cost: 0.0615 8/125 [>.............................] - ETA: 3:48 - batch_cost: 1.9570 - reader cost: 0.0538 9/125 [=>............................] - ETA: 3:46 - batch_cost: 1.9488 - reader cost: 0.0479 10/125 [=>............................] - ETA: 3:43 - batch_cost: 1.9430 - reader cost: 0.0431 11/125 [=>............................] - ETA: 3:40 - batch_cost: 1.9375 - reader cost: 0.0392 12/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9348 - reader cost: 0.0360 13/125 [==>...........................] - ETA: 3:36 - batch_cost: 1.9321 - reader cost: 0.0332 14/125 [==>...........................] - ETA: 3:34 - batch_cost: 1.9297 - reader cost: 0.0308 15/125 [==>...........................] - ETA: 3:31 - batch_cost: 1.9268 - reader cost: 0.0288 16/125 [==>...........................] - ETA: 3:29 - batch_cost: 1.9238 - reader cost: 0.0270 17/125 [===>..........................] - ETA: 3:27 - batch_cost: 1.9206 - reader cost: 0.0254 18/125 [===>..........................] - ETA: 3:25 - batch_cost: 1.9182 - reader cost: 0.0240 19/125 [===>..........................] - ETA: 3:23 - batch_cost: 1.9163 - reader cost: 0.0228 20/125 [===>..........................] - ETA: 3:21 - batch_cost: 1.9147 - reader cost: 0.0217 21/125 [====>.........................] - ETA: 3:18 - batch_cost: 1.9126 - reader cost: 0.0206 22/125 [====>.........................] - ETA: 3:16 - batch_cost: 1.9110 - reader cost: 0.0197 23/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.9091 - reader cost: 0.0189 24/125 [====>.........................] - ETA: 3:12 - batch_cost: 1.9083 - reader cost: 0.0181 25/125 [=====>........................] - ETA: 3:10 - batch_cost: 1.9067 - reader cost: 0.0174 26/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.9048 - reader cost: 0.0167 27/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.9031 - reader cost: 0.0161 28/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.9017 - reader cost: 0.0155 29/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.9005 - reader cost: 0.0150 30/125 [======>.......................] - ETA: 3:00 - batch_cost: 1.8989 - reader cost: 0.0145 31/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8975 - reader cost: 0.0140 32/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8971 - reader cost: 0.0136 33/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8961 - reader cost: 0.0132 34/125 [=======>......................] - ETA: 2:52 - batch_cost: 1.8952 - reader cost: 0.0128 35/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8942 - reader cost: 0.0125 36/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8934 - reader cost: 0.0121 37/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8924 - reader cost: 0.0118 38/125 [========>.....................] - ETA: 2:44 - batch_cost: 1.8918 - reader cost: 0.0115 39/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8911 - reader cost: 0.0112 40/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8905 - reader cost: 0.0109 41/125 [========>.....................] - ETA: 2:38 - batch_cost: 1.8897 - reader cost: 0.0107 42/125 [=========>....................] - ETA: 2:36 - batch_cost: 1.8889 - reader cost: 0.0104 43/125 [=========>....................] - ETA: 2:34 - batch_cost: 1.8882 - reader cost: 0.0102 44/125 [=========>....................] - ETA: 2:32 - batch_cost: 1.8882 - reader cost: 0.0100 45/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8885 - reader cost: 0.0097 46/125 [==========>...................] - ETA: 2:29 - batch_cost: 1.8887 - reader cost: 0.0095 47/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8885 - reader cost: 0.0093 48/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8882 - reader cost: 0.0091 49/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8885 - reader cost: 0.0090 50/125 [===========>..................] - ETA: 2:21 - batch_cost: 1.8884 - reader cost: 0.0088 51/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.8888 - reader cost: 0.0086 52/125 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[=====================>........] - ETA: 58s - batch_cost: 1.8918 - reader cost: 0.0048  95/125 [=====================>........] - ETA: 56s - batch_cost: 1.8917 - reader cost: 0.0047 96/125 [======================>.......] - ETA: 54s - batch_cost: 1.8917 - reader cost: 0.0047 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8918 - reader cost: 0.0046 98/125 [======================>.......] - ETA: 51s - batch_cost: 1.8919 - reader cost: 0.0046 99/125 [======================>.......] - ETA: 49s - batch_cost: 1.8919 - reader cost: 0.0045 100/125 [=======================>......] - ETA: 47s - batch_cost: 1.8918 - reader cost: 0.0045 101/125 [=======================>......] - ETA: 45s - batch_cost: 1.8917 - reader cost: 0.0044 102/125 [=======================>......] - ETA: 43s - batch_cost: 1.8918 - reader cost: 0.0044 103/125 [=======================>......] - ETA: 41s - batch_cost: 1.8920 - reader cost: 0.0044 104/125 [=======================>......] - ETA: 39s - 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[==========================>...] - ETA: 18s - batch_cost: 1.8932 - reader cost: 0.0039 116/125 [==========================>...] - ETA: 17s - batch_cost: 1.8932 - reader cost: 0.0039 117/125 [===========================>..] - ETA: 15s - batch_cost: 1.8935 - reader cost: 0.0039 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8934 - reader cost: 0.0038 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8934 - reader cost: 0.0038 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8932 - reader cost: 0.0038  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8929 - reader cost: 0.0037 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8928 - reader cost: 0.0037 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8926 - reader cost: 0.0037 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8922 - reader cost: 0.0037 125/125 [==============================] - 237s 2s/step - batch_cost: 1.8919 - reader cost: 0.0036 2021-08-22 14:02:10 [INFO] [EVAL] #Images: 500 mIoU: 0.8168 Acc: 0.9660 Kappa: 0.9558 2021-08-22 14:02:10 [INFO] [EVAL] Class IoU: [0.9828 0.8613 0.9361 0.6726 0.6522 0.6952 0.7536 0.817 0.9312 0.6487 0.9566 0.8427 0.6611 0.9582 0.8645 0.9178 0.8599 0.712 0.7957] 2021-08-22 14:02:10 [INFO] [EVAL] Class Acc: [0.9915 0.926 0.9653 0.875 0.8642 0.8284 0.8651 0.9051 0.9581 0.8408 0.9752 0.9048 0.8031 0.9743 0.9581 0.9638 0.9522 0.8197 0.8702] 2021-08-22 14:02:13 [INFO] [EVAL] The model with the best validation mIoU (0.8168) was saved at iter 72000. 2021-08-22 14:02:25 [INFO] [TRAIN] epoch: 194, iter: 72010/160000, loss: 0.0652, lr: 0.000033, batch_cost: 1.1949, reader_cost: 0.00053, ips: 1.6738 samples/sec | ETA 29:12:16 2021-08-22 14:02:37 [INFO] [TRAIN] epoch: 194, iter: 72020/160000, loss: 0.0630, lr: 0.000033, batch_cost: 1.1954, reader_cost: 0.00018, ips: 1.6731 samples/sec | ETA 29:12:52 2021-08-22 14:02:49 [INFO] [TRAIN] epoch: 194, iter: 72030/160000, loss: 0.0614, lr: 0.000033, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 29:08:08 2021-08-22 14:03:01 [INFO] [TRAIN] epoch: 194, iter: 72040/160000, loss: 0.0670, lr: 0.000033, batch_cost: 1.1823, reader_cost: 0.00017, ips: 1.6916 samples/sec | ETA 28:53:18 2021-08-22 14:03:13 [INFO] [TRAIN] epoch: 194, iter: 72050/160000, loss: 0.0529, lr: 0.000033, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6820 samples/sec | ETA 29:02:55 2021-08-22 14:03:25 [INFO] [TRAIN] epoch: 194, iter: 72060/160000, loss: 0.0602, lr: 0.000033, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6698 samples/sec | ETA 29:15:27 2021-08-22 14:03:37 [INFO] [TRAIN] epoch: 194, iter: 72070/160000, loss: 0.0653, lr: 0.000033, batch_cost: 1.2056, reader_cost: 0.00017, ips: 1.6590 samples/sec | ETA 29:26:46 2021-08-22 14:03:49 [INFO] [TRAIN] epoch: 194, iter: 72080/160000, loss: 0.0595, lr: 0.000033, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6772 samples/sec | ETA 29:07:21 2021-08-22 14:04:01 [INFO] [TRAIN] epoch: 194, iter: 72090/160000, loss: 0.0591, lr: 0.000033, batch_cost: 1.1974, reader_cost: 0.00017, ips: 1.6703 samples/sec | ETA 29:14:23 2021-08-22 14:04:13 [INFO] [TRAIN] epoch: 194, iter: 72100/160000, loss: 0.0638, lr: 0.000033, batch_cost: 1.1985, reader_cost: 0.00017, ips: 1.6687 samples/sec | ETA 29:15:50 2021-08-22 14:04:24 [INFO] [TRAIN] epoch: 194, iter: 72110/160000, loss: 0.0577, lr: 0.000033, batch_cost: 1.1881, reader_cost: 0.00016, ips: 1.6834 samples/sec | ETA 29:00:21 2021-08-22 14:04:36 [INFO] [TRAIN] epoch: 194, iter: 72120/160000, loss: 0.0765, lr: 0.000033, batch_cost: 1.1859, reader_cost: 0.00016, ips: 1.6865 samples/sec | ETA 28:56:52 2021-08-22 14:04:48 [INFO] [TRAIN] epoch: 194, iter: 72130/160000, loss: 0.0568, lr: 0.000033, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6816 samples/sec | ETA 29:01:44 2021-08-22 14:05:00 [INFO] [TRAIN] epoch: 194, iter: 72140/160000, loss: 0.0593, lr: 0.000033, batch_cost: 1.2013, reader_cost: 0.00017, ips: 1.6649 samples/sec | ETA 29:19:02 2021-08-22 14:05:12 [INFO] [TRAIN] epoch: 194, iter: 72150/160000, loss: 0.0647, lr: 0.000033, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6745 samples/sec | ETA 29:08:46 2021-08-22 14:05:24 [INFO] [TRAIN] epoch: 194, iter: 72160/160000, loss: 0.0733, lr: 0.000033, batch_cost: 1.1790, reader_cost: 0.00015, ips: 1.6964 samples/sec | ETA 28:46:02 2021-08-22 14:05:38 [INFO] [TRAIN] epoch: 195, iter: 72170/160000, loss: 0.0610, lr: 0.000033, batch_cost: 1.3825, reader_cost: 0.17459, ips: 1.4466 samples/sec | ETA 33:43:48 2021-08-22 14:05:50 [INFO] [TRAIN] epoch: 195, iter: 72180/160000, loss: 0.0553, lr: 0.000033, batch_cost: 1.1912, reader_cost: 0.00064, ips: 1.6790 samples/sec | ETA 29:03:29 2021-08-22 14:06:02 [INFO] [TRAIN] epoch: 195, iter: 72190/160000, loss: 0.0685, lr: 0.000033, batch_cost: 1.1860, reader_cost: 0.00017, ips: 1.6864 samples/sec | ETA 28:55:40 2021-08-22 14:06:13 [INFO] [TRAIN] epoch: 195, iter: 72200/160000, loss: 0.0686, lr: 0.000033, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6777 samples/sec | ETA 29:04:27 2021-08-22 14:06:25 [INFO] [TRAIN] epoch: 195, iter: 72210/160000, loss: 0.0555, lr: 0.000033, batch_cost: 1.1864, reader_cost: 0.00016, ips: 1.6858 samples/sec | ETA 28:55:49 2021-08-22 14:06:37 [INFO] [TRAIN] epoch: 195, iter: 72220/160000, loss: 0.0671, lr: 0.000033, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6839 samples/sec | ETA 28:57:37 2021-08-22 14:06:49 [INFO] [TRAIN] epoch: 195, iter: 72230/160000, loss: 0.0573, lr: 0.000033, batch_cost: 1.1979, reader_cost: 0.00017, ips: 1.6696 samples/sec | ETA 29:12:21 2021-08-22 14:07:01 [INFO] [TRAIN] epoch: 195, iter: 72240/160000, loss: 0.0529, lr: 0.000033, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 29:08:39 2021-08-22 14:07:13 [INFO] [TRAIN] epoch: 195, iter: 72250/160000, loss: 0.0556, lr: 0.000033, batch_cost: 1.1960, reader_cost: 0.00017, ips: 1.6722 samples/sec | ETA 29:09:08 2021-08-22 14:07:25 [INFO] [TRAIN] epoch: 195, iter: 72260/160000, loss: 0.0591, lr: 0.000033, batch_cost: 1.1908, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 29:01:21 2021-08-22 14:07:37 [INFO] [TRAIN] epoch: 195, iter: 72270/160000, loss: 0.0533, lr: 0.000033, batch_cost: 1.1874, reader_cost: 0.00017, ips: 1.6844 samples/sec | ETA 28:56:06 2021-08-22 14:07:49 [INFO] [TRAIN] epoch: 195, iter: 72280/160000, loss: 0.0709, lr: 0.000033, batch_cost: 1.2017, reader_cost: 0.00018, ips: 1.6643 samples/sec | ETA 29:16:51 2021-08-22 14:08:01 [INFO] [TRAIN] epoch: 195, iter: 72290/160000, loss: 0.0629, lr: 0.000033, batch_cost: 1.2003, reader_cost: 0.00017, ips: 1.6662 samples/sec | ETA 29:14:42 2021-08-22 14:08:13 [INFO] [TRAIN] epoch: 195, iter: 72300/160000, loss: 0.0655, lr: 0.000033, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6698 samples/sec | ETA 29:10:39 2021-08-22 14:08:25 [INFO] [TRAIN] epoch: 195, iter: 72310/160000, loss: 0.0620, lr: 0.000033, batch_cost: 1.2019, reader_cost: 0.00017, ips: 1.6640 samples/sec | ETA 29:16:35 2021-08-22 14:08:37 [INFO] [TRAIN] epoch: 195, iter: 72320/160000, loss: 0.0579, lr: 0.000033, batch_cost: 1.1996, reader_cost: 0.00017, ips: 1.6672 samples/sec | ETA 29:13:04 2021-08-22 14:08:49 [INFO] [TRAIN] epoch: 195, iter: 72330/160000, loss: 0.0523, lr: 0.000033, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 29:05:48 2021-08-22 14:09:01 [INFO] [TRAIN] epoch: 195, iter: 72340/160000, loss: 0.0556, lr: 0.000033, batch_cost: 1.2038, reader_cost: 0.00017, ips: 1.6614 samples/sec | ETA 29:18:43 2021-08-22 14:09:13 [INFO] [TRAIN] epoch: 195, iter: 72350/160000, loss: 0.0742, lr: 0.000033, batch_cost: 1.1904, reader_cost: 0.00016, ips: 1.6801 samples/sec | ETA 28:59:00 2021-08-22 14:09:25 [INFO] [TRAIN] epoch: 195, iter: 72360/160000, loss: 0.0660, lr: 0.000033, batch_cost: 1.1883, reader_cost: 0.00016, ips: 1.6831 samples/sec | ETA 28:55:43 2021-08-22 14:09:37 [INFO] [TRAIN] epoch: 195, iter: 72370/160000, loss: 0.0594, lr: 0.000033, batch_cost: 1.2012, reader_cost: 0.00017, ips: 1.6650 samples/sec | ETA 29:14:19 2021-08-22 14:09:49 [INFO] [TRAIN] epoch: 195, iter: 72380/160000, loss: 0.0694, lr: 0.000033, batch_cost: 1.1978, reader_cost: 0.00016, ips: 1.6697 samples/sec | ETA 29:09:14 2021-08-22 14:10:01 [INFO] [TRAIN] epoch: 195, iter: 72390/160000, loss: 0.0508, lr: 0.000033, batch_cost: 1.1867, reader_cost: 0.00016, ips: 1.6853 samples/sec | ETA 28:52:49 2021-08-22 14:10:12 [INFO] [TRAIN] epoch: 195, iter: 72400/160000, loss: 0.0607, lr: 0.000033, batch_cost: 1.1913, reader_cost: 0.00016, ips: 1.6788 samples/sec | ETA 28:59:19 2021-08-22 14:10:24 [INFO] [TRAIN] epoch: 195, iter: 72410/160000, loss: 0.0696, lr: 0.000033, batch_cost: 1.1933, reader_cost: 0.00016, ips: 1.6760 samples/sec | ETA 29:02:03 2021-08-22 14:10:36 [INFO] [TRAIN] epoch: 195, iter: 72420/160000, loss: 0.0748, lr: 0.000033, batch_cost: 1.1920, reader_cost: 0.00016, ips: 1.6779 samples/sec | ETA 28:59:52 2021-08-22 14:10:48 [INFO] [TRAIN] epoch: 195, iter: 72430/160000, loss: 0.0619, lr: 0.000033, batch_cost: 1.1975, reader_cost: 0.00016, ips: 1.6701 samples/sec | ETA 29:07:48 2021-08-22 14:11:00 [INFO] [TRAIN] epoch: 195, iter: 72440/160000, loss: 0.0489, lr: 0.000033, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 28:54:24 2021-08-22 14:11:12 [INFO] [TRAIN] epoch: 195, iter: 72450/160000, loss: 0.0405, lr: 0.000033, batch_cost: 1.1957, reader_cost: 0.00017, ips: 1.6727 samples/sec | ETA 29:04:39 2021-08-22 14:11:24 [INFO] [TRAIN] epoch: 195, iter: 72460/160000, loss: 0.0609, lr: 0.000033, batch_cost: 1.1981, reader_cost: 0.00016, ips: 1.6693 samples/sec | ETA 29:08:01 2021-08-22 14:11:36 [INFO] [TRAIN] epoch: 195, iter: 72470/160000, loss: 0.0538, lr: 0.000033, batch_cost: 1.2068, reader_cost: 0.00017, ips: 1.6573 samples/sec | ETA 29:20:30 2021-08-22 14:11:48 [INFO] [TRAIN] epoch: 195, iter: 72480/160000, loss: 0.0622, lr: 0.000033, batch_cost: 1.2135, reader_cost: 0.00017, ips: 1.6481 samples/sec | ETA 29:30:05 2021-08-22 14:12:00 [INFO] [TRAIN] epoch: 195, iter: 72490/160000, loss: 0.0468, lr: 0.000033, batch_cost: 1.2118, reader_cost: 0.00016, ips: 1.6504 samples/sec | ETA 29:27:26 2021-08-22 14:12:12 [INFO] [TRAIN] epoch: 195, iter: 72500/160000, loss: 0.0885, lr: 0.000033, batch_cost: 1.2020, reader_cost: 0.00016, ips: 1.6639 samples/sec | ETA 29:12:56 2021-08-22 14:12:24 [INFO] [TRAIN] epoch: 195, iter: 72510/160000, loss: 0.0770, lr: 0.000033, batch_cost: 1.2050, reader_cost: 0.00016, ips: 1.6597 samples/sec | ETA 29:17:07 2021-08-22 14:12:37 [INFO] [TRAIN] epoch: 195, iter: 72520/160000, loss: 0.0603, lr: 0.000033, batch_cost: 1.2028, reader_cost: 0.00016, ips: 1.6627 samples/sec | ETA 29:13:44 2021-08-22 14:12:49 [INFO] [TRAIN] epoch: 195, iter: 72530/160000, loss: 0.0658, lr: 0.000033, batch_cost: 1.2082, reader_cost: 0.00016, ips: 1.6553 samples/sec | ETA 29:21:23 2021-08-22 14:13:00 [INFO] [TRAIN] epoch: 195, iter: 72540/160000, loss: 0.0542, lr: 0.000033, batch_cost: 1.1843, reader_cost: 0.00012, ips: 1.6888 samples/sec | ETA 28:46:16 2021-08-22 14:13:15 [INFO] [TRAIN] epoch: 196, iter: 72550/160000, loss: 0.0566, lr: 0.000033, batch_cost: 1.4062, reader_cost: 0.17315, ips: 1.4223 samples/sec | ETA 34:09:29 2021-08-22 14:13:26 [INFO] [TRAIN] epoch: 196, iter: 72560/160000, loss: 0.0695, lr: 0.000033, batch_cost: 1.1870, reader_cost: 0.00066, ips: 1.6849 samples/sec | ETA 28:49:51 2021-08-22 14:13:38 [INFO] [TRAIN] epoch: 196, iter: 72570/160000, loss: 0.0649, lr: 0.000033, batch_cost: 1.1913, reader_cost: 0.00016, ips: 1.6788 samples/sec | ETA 28:55:56 2021-08-22 14:13:50 [INFO] [TRAIN] epoch: 196, iter: 72580/160000, loss: 0.0508, lr: 0.000033, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6730 samples/sec | ETA 29:01:47 2021-08-22 14:14:02 [INFO] [TRAIN] epoch: 196, iter: 72590/160000, loss: 0.0813, lr: 0.000033, batch_cost: 1.1891, reader_cost: 0.00016, ips: 1.6819 samples/sec | ETA 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29:05:01 2021-08-22 14:17:37 [INFO] [TRAIN] epoch: 196, iter: 72770/160000, loss: 0.0683, lr: 0.000033, batch_cost: 1.1929, reader_cost: 0.00016, ips: 1.6766 samples/sec | ETA 28:54:17 2021-08-22 14:17:49 [INFO] [TRAIN] epoch: 196, iter: 72780/160000, loss: 0.0743, lr: 0.000033, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6838 samples/sec | ETA 28:46:41 2021-08-22 14:18:01 [INFO] [TRAIN] epoch: 196, iter: 72790/160000, loss: 0.0679, lr: 0.000033, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6724 samples/sec | ETA 28:58:14 2021-08-22 14:18:13 [INFO] [TRAIN] epoch: 196, iter: 72800/160000, loss: 0.0577, lr: 0.000033, batch_cost: 1.1999, reader_cost: 0.00017, ips: 1.6668 samples/sec | ETA 29:03:53 2021-08-22 14:18:25 [INFO] [TRAIN] epoch: 196, iter: 72810/160000, loss: 0.0640, lr: 0.000033, batch_cost: 1.2021, reader_cost: 0.00017, ips: 1.6637 samples/sec | ETA 29:06:55 2021-08-22 14:18:36 [INFO] [TRAIN] epoch: 196, iter: 72820/160000, loss: 0.0643, lr: 0.000033, batch_cost: 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28:43:46 2021-08-22 14:31:11 [INFO] [TRAIN] epoch: 198, iter: 73450/160000, loss: 0.0715, lr: 0.000032, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6788 samples/sec | ETA 28:38:28 2021-08-22 14:31:23 [INFO] [TRAIN] epoch: 198, iter: 73460/160000, loss: 0.0545, lr: 0.000032, batch_cost: 1.1938, reader_cost: 0.00016, ips: 1.6754 samples/sec | ETA 28:41:47 2021-08-22 14:31:35 [INFO] [TRAIN] epoch: 198, iter: 73470/160000, loss: 0.0618, lr: 0.000032, batch_cost: 1.1975, reader_cost: 0.00016, ips: 1.6702 samples/sec | ETA 28:46:56 2021-08-22 14:31:47 [INFO] [TRAIN] epoch: 198, iter: 73480/160000, loss: 0.0576, lr: 0.000032, batch_cost: 1.1908, reader_cost: 0.00016, ips: 1.6796 samples/sec | ETA 28:37:04 2021-08-22 14:31:59 [INFO] [TRAIN] epoch: 198, iter: 73490/160000, loss: 0.0724, lr: 0.000032, batch_cost: 1.2134, reader_cost: 0.00016, ips: 1.6483 samples/sec | ETA 29:09:31 2021-08-22 14:32:11 [INFO] [TRAIN] epoch: 198, iter: 73500/160000, loss: 0.0538, lr: 0.000032, batch_cost: 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28:24:57 2021-08-22 14:41:22 [INFO] [TRAIN] epoch: 199, iter: 73960/160000, loss: 0.0598, lr: 0.000032, batch_cost: 1.1907, reader_cost: 0.00017, ips: 1.6796 samples/sec | ETA 28:27:31 2021-08-22 14:41:34 [INFO] [TRAIN] epoch: 199, iter: 73970/160000, loss: 0.0581, lr: 0.000032, batch_cost: 1.2043, reader_cost: 0.00019, ips: 1.6607 samples/sec | ETA 28:46:49 2021-08-22 14:41:46 [INFO] [TRAIN] epoch: 199, iter: 73980/160000, loss: 0.0620, lr: 0.000032, batch_cost: 1.2048, reader_cost: 0.00020, ips: 1.6601 samples/sec | ETA 28:47:14 2021-08-22 14:41:58 [INFO] [TRAIN] epoch: 199, iter: 73990/160000, loss: 0.0667, lr: 0.000032, batch_cost: 1.1952, reader_cost: 0.00018, ips: 1.6733 samples/sec | ETA 28:33:21 2021-08-22 14:42:10 [INFO] [TRAIN] epoch: 199, iter: 74000/160000, loss: 0.0612, lr: 0.000032, batch_cost: 1.1883, reader_cost: 0.00017, ips: 1.6831 samples/sec | ETA 28:23:12 2021-08-22 14:42:22 [INFO] [TRAIN] epoch: 199, iter: 74010/160000, loss: 0.0661, lr: 0.000032, batch_cost: 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28:13:40 2021-08-22 14:44:46 [INFO] [TRAIN] epoch: 200, iter: 74130/160000, loss: 0.0560, lr: 0.000032, batch_cost: 1.1891, reader_cost: 0.00017, ips: 1.6820 samples/sec | ETA 28:21:46 2021-08-22 14:44:58 [INFO] [TRAIN] epoch: 200, iter: 74140/160000, loss: 0.0854, lr: 0.000032, batch_cost: 1.1872, reader_cost: 0.00016, ips: 1.6846 samples/sec | ETA 28:18:55 2021-08-22 14:45:10 [INFO] [TRAIN] epoch: 200, iter: 74150/160000, loss: 0.0527, lr: 0.000032, batch_cost: 1.1935, reader_cost: 0.00016, ips: 1.6757 samples/sec | ETA 28:27:44 2021-08-22 14:45:22 [INFO] [TRAIN] epoch: 200, iter: 74160/160000, loss: 0.0615, lr: 0.000032, batch_cost: 1.1923, reader_cost: 0.00016, ips: 1.6774 samples/sec | ETA 28:25:49 2021-08-22 14:45:34 [INFO] [TRAIN] epoch: 200, iter: 74170/160000, loss: 0.0673, lr: 0.000032, batch_cost: 1.2012, reader_cost: 0.00017, ips: 1.6650 samples/sec | ETA 28:38:19 2021-08-22 14:45:46 [INFO] [TRAIN] epoch: 200, iter: 74180/160000, loss: 0.0675, lr: 0.000032, batch_cost: 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28:24:58 2021-08-22 14:48:09 [INFO] [TRAIN] epoch: 200, iter: 74300/160000, loss: 0.0660, lr: 0.000032, batch_cost: 1.1872, reader_cost: 0.00017, ips: 1.6846 samples/sec | ETA 28:15:45 2021-08-22 14:48:21 [INFO] [TRAIN] epoch: 200, iter: 74310/160000, loss: 0.0522, lr: 0.000032, batch_cost: 1.2015, reader_cost: 0.00017, ips: 1.6645 samples/sec | ETA 28:35:59 2021-08-22 14:48:33 [INFO] [TRAIN] epoch: 200, iter: 74320/160000, loss: 0.0600, lr: 0.000032, batch_cost: 1.1907, reader_cost: 0.00018, ips: 1.6796 samples/sec | ETA 28:20:21 2021-08-22 14:48:45 [INFO] [TRAIN] epoch: 200, iter: 74330/160000, loss: 0.0625, lr: 0.000032, batch_cost: 1.1834, reader_cost: 0.00018, ips: 1.6900 samples/sec | ETA 28:09:43 2021-08-22 14:48:57 [INFO] [TRAIN] epoch: 200, iter: 74340/160000, loss: 0.0601, lr: 0.000032, batch_cost: 1.1992, reader_cost: 0.00017, ips: 1.6678 samples/sec | ETA 28:32:02 2021-08-22 14:49:09 [INFO] [TRAIN] epoch: 200, iter: 74350/160000, loss: 0.0672, lr: 0.000032, batch_cost: 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iter: 74410/160000, loss: 0.0529, lr: 0.000032, batch_cost: 1.3984, reader_cost: 0.18555, ips: 1.4302 samples/sec | ETA 33:14:48 2021-08-22 14:50:34 [INFO] [TRAIN] epoch: 201, iter: 74420/160000, loss: 0.0561, lr: 0.000032, batch_cost: 1.1962, reader_cost: 0.00062, ips: 1.6720 samples/sec | ETA 28:26:07 2021-08-22 14:50:46 [INFO] [TRAIN] epoch: 201, iter: 74430/160000, loss: 0.0620, lr: 0.000032, batch_cost: 1.2020, reader_cost: 0.00016, ips: 1.6638 samples/sec | ETA 28:34:17 2021-08-22 14:50:58 [INFO] [TRAIN] epoch: 201, iter: 74440/160000, loss: 0.0698, lr: 0.000032, batch_cost: 1.2040, reader_cost: 0.00016, ips: 1.6611 samples/sec | ETA 28:36:57 2021-08-22 14:51:10 [INFO] [TRAIN] epoch: 201, iter: 74450/160000, loss: 0.0574, lr: 0.000032, batch_cost: 1.1998, reader_cost: 0.00016, ips: 1.6669 samples/sec | ETA 28:30:47 2021-08-22 14:51:22 [INFO] [TRAIN] epoch: 201, iter: 74460/160000, loss: 0.0589, lr: 0.000032, batch_cost: 1.1839, reader_cost: 0.00016, ips: 1.6893 samples/sec | ETA 28:07:52 2021-08-22 14:51:34 [INFO] [TRAIN] epoch: 201, iter: 74470/160000, loss: 0.0692, lr: 0.000032, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 28:23:14 2021-08-22 14:51:46 [INFO] [TRAIN] epoch: 201, iter: 74480/160000, loss: 0.0760, lr: 0.000032, batch_cost: 1.1991, reader_cost: 0.00017, ips: 1.6680 samples/sec | ETA 28:29:04 2021-08-22 14:51:58 [INFO] [TRAIN] epoch: 201, iter: 74490/160000, loss: 0.0685, lr: 0.000032, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6740 samples/sec | ETA 28:22:43 2021-08-22 14:52:10 [INFO] [TRAIN] epoch: 201, iter: 74500/160000, loss: 0.0623, lr: 0.000032, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6816 samples/sec | ETA 28:14:48 2021-08-22 14:52:22 [INFO] [TRAIN] epoch: 201, iter: 74510/160000, loss: 0.0680, lr: 0.000032, batch_cost: 1.1923, reader_cost: 0.00016, ips: 1.6775 samples/sec | ETA 28:18:46 2021-08-22 14:52:34 [INFO] [TRAIN] epoch: 201, iter: 74520/160000, loss: 0.0547, lr: 0.000032, batch_cost: 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28:41:07 2021-08-22 14:54:57 [INFO] [TRAIN] epoch: 201, iter: 74640/160000, loss: 0.0681, lr: 0.000032, batch_cost: 1.1883, reader_cost: 0.00016, ips: 1.6831 samples/sec | ETA 28:10:29 2021-08-22 14:55:09 [INFO] [TRAIN] epoch: 201, iter: 74650/160000, loss: 0.0647, lr: 0.000032, batch_cost: 1.2000, reader_cost: 0.00017, ips: 1.6667 samples/sec | ETA 28:26:58 2021-08-22 14:55:21 [INFO] [TRAIN] epoch: 201, iter: 74660/160000, loss: 0.0694, lr: 0.000032, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 28:14:45 2021-08-22 14:55:33 [INFO] [TRAIN] epoch: 201, iter: 74670/160000, loss: 0.1072, lr: 0.000032, batch_cost: 1.1947, reader_cost: 0.00016, ips: 1.6741 samples/sec | ETA 28:19:02 2021-08-22 14:55:45 [INFO] [TRAIN] epoch: 201, iter: 74680/160000, loss: 0.0798, lr: 0.000032, batch_cost: 1.1969, reader_cost: 0.00017, ips: 1.6710 samples/sec | ETA 28:21:55 2021-08-22 14:55:56 [INFO] [TRAIN] epoch: 201, iter: 74690/160000, loss: 0.0579, lr: 0.000032, batch_cost: 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28:12:44 2021-08-22 14:58:21 [INFO] [TRAIN] epoch: 202, iter: 74810/160000, loss: 0.0537, lr: 0.000032, batch_cost: 1.1951, reader_cost: 0.00017, ips: 1.6735 samples/sec | ETA 28:16:50 2021-08-22 14:58:33 [INFO] [TRAIN] epoch: 202, iter: 74820/160000, loss: 0.0621, lr: 0.000032, batch_cost: 1.1900, reader_cost: 0.00016, ips: 1.6806 samples/sec | ETA 28:09:25 2021-08-22 14:58:45 [INFO] [TRAIN] epoch: 202, iter: 74830/160000, loss: 0.0539, lr: 0.000032, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6786 samples/sec | ETA 28:11:19 2021-08-22 14:58:57 [INFO] [TRAIN] epoch: 202, iter: 74840/160000, loss: 0.0672, lr: 0.000032, batch_cost: 1.2010, reader_cost: 0.00019, ips: 1.6653 samples/sec | ETA 28:24:35 2021-08-22 14:59:09 [INFO] [TRAIN] epoch: 202, iter: 74850/160000, loss: 0.0665, lr: 0.000032, batch_cost: 1.1878, reader_cost: 0.00018, ips: 1.6837 samples/sec | ETA 28:05:44 2021-08-22 14:59:21 [INFO] [TRAIN] epoch: 202, iter: 74860/160000, loss: 0.0620, lr: 0.000032, batch_cost: 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28:29:59 2021-08-22 15:01:45 [INFO] [TRAIN] epoch: 202, iter: 74980/160000, loss: 0.0722, lr: 0.000032, batch_cost: 1.2129, reader_cost: 0.00018, ips: 1.6490 samples/sec | ETA 28:38:40 2021-08-22 15:01:57 [INFO] [TRAIN] epoch: 202, iter: 74990/160000, loss: 0.0606, lr: 0.000032, batch_cost: 1.2075, reader_cost: 0.00017, ips: 1.6563 samples/sec | ETA 28:30:48 2021-08-22 15:02:09 [INFO] [TRAIN] epoch: 202, iter: 75000/160000, loss: 0.0640, lr: 0.000032, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6731 samples/sec | ETA 28:13:26 2021-08-22 15:02:21 [INFO] [TRAIN] epoch: 202, iter: 75010/160000, loss: 0.0586, lr: 0.000032, batch_cost: 1.2053, reader_cost: 0.00018, ips: 1.6593 samples/sec | ETA 28:27:19 2021-08-22 15:02:33 [INFO] [TRAIN] epoch: 202, iter: 75020/160000, loss: 0.0634, lr: 0.000032, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6803 samples/sec | ETA 28:05:47 2021-08-22 15:02:45 [INFO] [TRAIN] epoch: 202, iter: 75030/160000, loss: 0.0667, lr: 0.000032, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6753 samples/sec | ETA 28:10:39 2021-08-22 15:02:56 [INFO] [TRAIN] epoch: 202, iter: 75040/160000, loss: 0.0577, lr: 0.000032, batch_cost: 1.1815, reader_cost: 0.00017, ips: 1.6928 samples/sec | ETA 27:52:57 2021-08-22 15:03:08 [INFO] [TRAIN] epoch: 202, iter: 75050/160000, loss: 0.0640, lr: 0.000032, batch_cost: 1.1924, reader_cost: 0.00016, ips: 1.6773 samples/sec | ETA 28:08:14 2021-08-22 15:03:20 [INFO] [TRAIN] epoch: 202, iter: 75060/160000, loss: 0.0715, lr: 0.000032, batch_cost: 1.1986, reader_cost: 0.00017, ips: 1.6686 samples/sec | ETA 28:16:48 2021-08-22 15:03:32 [INFO] [TRAIN] epoch: 202, iter: 75070/160000, loss: 0.0634, lr: 0.000032, batch_cost: 1.2034, reader_cost: 0.00018, ips: 1.6619 samples/sec | ETA 28:23:26 2021-08-22 15:03:44 [INFO] [TRAIN] epoch: 202, iter: 75080/160000, loss: 0.0635, lr: 0.000032, batch_cost: 1.1937, reader_cost: 0.00019, ips: 1.6754 samples/sec | ETA 28:09:30 2021-08-22 15:03:56 [INFO] [TRAIN] epoch: 202, 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27:35:02 2021-08-22 15:05:09 [INFO] [TRAIN] epoch: 203, iter: 75150/160000, loss: 0.0669, lr: 0.000032, batch_cost: 1.3983, reader_cost: 0.16268, ips: 1.4303 samples/sec | ETA 32:57:29 2021-08-22 15:05:22 [INFO] [TRAIN] epoch: 203, iter: 75160/160000, loss: 0.0617, lr: 0.000032, batch_cost: 1.2052, reader_cost: 0.00063, ips: 1.6595 samples/sec | ETA 28:24:05 2021-08-22 15:05:34 [INFO] [TRAIN] epoch: 203, iter: 75170/160000, loss: 0.0647, lr: 0.000032, batch_cost: 1.2062, reader_cost: 0.00020, ips: 1.6581 samples/sec | ETA 28:25:24 2021-08-22 15:05:46 [INFO] [TRAIN] epoch: 203, iter: 75180/160000, loss: 0.0535, lr: 0.000032, batch_cost: 1.2081, reader_cost: 0.00019, ips: 1.6555 samples/sec | ETA 28:27:50 2021-08-22 15:05:58 [INFO] [TRAIN] epoch: 203, iter: 75190/160000, loss: 0.0660, lr: 0.000032, batch_cost: 1.1982, reader_cost: 0.00017, ips: 1.6691 samples/sec | ETA 28:13:41 2021-08-22 15:06:10 [INFO] [TRAIN] epoch: 203, iter: 75200/160000, loss: 0.0675, lr: 0.000032, batch_cost: 1.1949, reader_cost: 0.00018, ips: 1.6738 samples/sec | ETA 28:08:48 2021-08-22 15:06:21 [INFO] [TRAIN] epoch: 203, iter: 75210/160000, loss: 0.0482, lr: 0.000032, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6808 samples/sec | ETA 28:01:30 2021-08-22 15:06:33 [INFO] [TRAIN] epoch: 203, iter: 75220/160000, loss: 0.0664, lr: 0.000032, batch_cost: 1.1971, reader_cost: 0.00017, ips: 1.6707 samples/sec | ETA 28:11:30 2021-08-22 15:06:45 [INFO] [TRAIN] epoch: 203, iter: 75230/160000, loss: 0.0627, lr: 0.000032, batch_cost: 1.1990, reader_cost: 0.00018, ips: 1.6680 samples/sec | ETA 28:14:02 2021-08-22 15:06:57 [INFO] [TRAIN] epoch: 203, iter: 75240/160000, loss: 0.0621, lr: 0.000032, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 28:04:58 2021-08-22 15:07:09 [INFO] [TRAIN] epoch: 203, iter: 75250/160000, loss: 0.0724, lr: 0.000032, batch_cost: 1.1850, reader_cost: 0.00016, ips: 1.6878 samples/sec | ETA 27:53:48 2021-08-22 15:07:21 [INFO] [TRAIN] epoch: 203, iter: 75260/160000, loss: 0.0558, lr: 0.000032, batch_cost: 1.1804, reader_cost: 0.00016, ips: 1.6943 samples/sec | ETA 27:47:08 2021-08-22 15:07:33 [INFO] [TRAIN] epoch: 203, iter: 75270/160000, loss: 0.0592, lr: 0.000032, batch_cost: 1.1948, reader_cost: 0.00017, ips: 1.6739 samples/sec | ETA 28:07:14 2021-08-22 15:07:45 [INFO] [TRAIN] epoch: 203, iter: 75280/160000, loss: 0.0737, lr: 0.000032, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6751 samples/sec | ETA 28:05:53 2021-08-22 15:07:57 [INFO] [TRAIN] epoch: 203, iter: 75290/160000, loss: 0.0604, lr: 0.000032, batch_cost: 1.1955, reader_cost: 0.00017, ips: 1.6729 samples/sec | ETA 28:07:53 2021-08-22 15:08:09 [INFO] [TRAIN] epoch: 203, iter: 75300/160000, loss: 0.0644, lr: 0.000032, batch_cost: 1.1873, reader_cost: 0.00017, ips: 1.6845 samples/sec | ETA 27:56:04 2021-08-22 15:08:21 [INFO] [TRAIN] epoch: 203, iter: 75310/160000, loss: 0.0695, lr: 0.000032, batch_cost: 1.1876, reader_cost: 0.00017, ips: 1.6841 samples/sec | ETA 27:56:15 2021-08-22 15:08:33 [INFO] [TRAIN] epoch: 203, iter: 75320/160000, loss: 0.0598, lr: 0.000032, batch_cost: 1.1932, reader_cost: 0.00018, ips: 1.6761 samples/sec | ETA 28:04:03 2021-08-22 15:08:45 [INFO] [TRAIN] epoch: 203, iter: 75330/160000, loss: 0.0716, lr: 0.000032, batch_cost: 1.2001, reader_cost: 0.00018, ips: 1.6665 samples/sec | ETA 28:13:32 2021-08-22 15:08:57 [INFO] [TRAIN] epoch: 203, iter: 75340/160000, loss: 0.0509, lr: 0.000032, batch_cost: 1.1971, reader_cost: 0.00018, ips: 1.6707 samples/sec | ETA 28:09:03 2021-08-22 15:09:08 [INFO] [TRAIN] epoch: 203, iter: 75350/160000, loss: 0.0713, lr: 0.000032, batch_cost: 1.1885, reader_cost: 0.00016, ips: 1.6829 samples/sec | ETA 27:56:42 2021-08-22 15:09:20 [INFO] [TRAIN] epoch: 203, iter: 75360/160000, loss: 0.0628, lr: 0.000032, batch_cost: 1.1883, reader_cost: 0.00017, ips: 1.6831 samples/sec | ETA 27:56:17 2021-08-22 15:09:32 [INFO] [TRAIN] epoch: 203, iter: 75370/160000, loss: 0.0609, lr: 0.000032, batch_cost: 1.2020, reader_cost: 0.00018, ips: 1.6639 samples/sec | ETA 28:15:26 2021-08-22 15:09:44 [INFO] [TRAIN] epoch: 203, iter: 75380/160000, loss: 0.0641, lr: 0.000032, batch_cost: 1.1976, reader_cost: 0.00017, ips: 1.6700 samples/sec | ETA 28:08:59 2021-08-22 15:09:56 [INFO] [TRAIN] epoch: 203, iter: 75390/160000, loss: 0.0567, lr: 0.000032, batch_cost: 1.2018, reader_cost: 0.00017, ips: 1.6642 samples/sec | ETA 28:14:40 2021-08-22 15:10:08 [INFO] [TRAIN] epoch: 203, iter: 75400/160000, loss: 0.0660, lr: 0.000032, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6752 samples/sec | ETA 28:03:24 2021-08-22 15:10:20 [INFO] [TRAIN] epoch: 203, iter: 75410/160000, loss: 0.0598, lr: 0.000032, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6730 samples/sec | ETA 28:05:20 2021-08-22 15:10:32 [INFO] [TRAIN] epoch: 203, iter: 75420/160000, loss: 0.0622, lr: 0.000032, batch_cost: 1.1955, reader_cost: 0.00018, ips: 1.6730 samples/sec | ETA 28:05:13 2021-08-22 15:10:44 [INFO] [TRAIN] epoch: 203, iter: 75430/160000, loss: 0.0641, lr: 0.000032, batch_cost: 1.2070, reader_cost: 0.00017, ips: 1.6570 samples/sec | ETA 28:21:15 2021-08-22 15:10:56 [INFO] [TRAIN] epoch: 203, iter: 75440/160000, loss: 0.0574, lr: 0.000032, batch_cost: 1.1891, reader_cost: 0.00017, ips: 1.6819 samples/sec | ETA 27:55:53 2021-08-22 15:11:08 [INFO] [TRAIN] epoch: 203, iter: 75450/160000, loss: 0.0613, lr: 0.000032, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 28:00:15 2021-08-22 15:11:20 [INFO] [TRAIN] epoch: 203, iter: 75460/160000, loss: 0.0730, lr: 0.000032, batch_cost: 1.1866, reader_cost: 0.00017, ips: 1.6854 samples/sec | ETA 27:51:57 2021-08-22 15:11:32 [INFO] [TRAIN] epoch: 203, iter: 75470/160000, loss: 0.0448, lr: 0.000032, batch_cost: 1.1945, reader_cost: 0.00017, ips: 1.6743 samples/sec | ETA 28:02:53 2021-08-22 15:11:44 [INFO] [TRAIN] epoch: 203, iter: 75480/160000, loss: 0.0589, lr: 0.000032, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 27:54:53 2021-08-22 15:11:56 [INFO] [TRAIN] epoch: 203, iter: 75490/160000, loss: 0.0602, lr: 0.000032, batch_cost: 1.1899, reader_cost: 0.00018, ips: 1.6809 samples/sec | ETA 27:55:54 2021-08-22 15:12:08 [INFO] [TRAIN] epoch: 203, iter: 75500/160000, loss: 0.0624, lr: 0.000032, batch_cost: 1.1868, reader_cost: 0.00017, ips: 1.6852 samples/sec | ETA 27:51:24 2021-08-22 15:12:19 [INFO] [TRAIN] epoch: 203, iter: 75510/160000, loss: 0.0547, lr: 0.000032, batch_cost: 1.1736, reader_cost: 0.00014, ips: 1.7042 samples/sec | ETA 27:32:36 2021-08-22 15:12:33 [INFO] [TRAIN] epoch: 204, iter: 75520/160000, loss: 0.0559, lr: 0.000032, batch_cost: 1.3868, reader_cost: 0.19542, ips: 1.4422 samples/sec | ETA 32:32:34 2021-08-22 15:12:45 [INFO] [TRAIN] epoch: 204, iter: 75530/160000, loss: 0.0602, lr: 0.000032, batch_cost: 1.1874, reader_cost: 0.00064, ips: 1.6843 samples/sec | ETA 27:51:42 2021-08-22 15:12:57 [INFO] [TRAIN] epoch: 204, iter: 75540/160000, loss: 0.0518, lr: 0.000032, batch_cost: 1.1986, reader_cost: 0.00017, ips: 1.6686 samples/sec | ETA 28:07:12 2021-08-22 15:13:09 [INFO] [TRAIN] epoch: 204, iter: 75550/160000, loss: 0.0537, lr: 0.000032, batch_cost: 1.1897, reader_cost: 0.00016, ips: 1.6811 samples/sec | ETA 27:54:29 2021-08-22 15:13:21 [INFO] [TRAIN] epoch: 204, iter: 75560/160000, loss: 0.0549, lr: 0.000032, batch_cost: 1.1869, reader_cost: 0.00017, ips: 1.6851 samples/sec | ETA 27:50:20 2021-08-22 15:13:33 [INFO] [TRAIN] epoch: 204, iter: 75570/160000, loss: 0.0716, lr: 0.000032, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6799 samples/sec | ETA 27:55:16 2021-08-22 15:13:45 [INFO] [TRAIN] epoch: 204, iter: 75580/160000, loss: 0.0615, lr: 0.000032, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6750 samples/sec | ETA 27:59:58 2021-08-22 15:13:57 [INFO] [TRAIN] epoch: 204, iter: 75590/160000, loss: 0.0737, lr: 0.000032, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6714 samples/sec | ETA 28:03:27 2021-08-22 15:14:08 [INFO] [TRAIN] epoch: 204, iter: 75600/160000, loss: 0.0533, lr: 0.000032, batch_cost: 1.1901, reader_cost: 0.00017, ips: 1.6805 samples/sec | ETA 27:54:04 2021-08-22 15:14:20 [INFO] [TRAIN] epoch: 204, iter: 75610/160000, loss: 0.0578, lr: 0.000032, batch_cost: 1.1892, reader_cost: 0.00017, ips: 1.6818 samples/sec | ETA 27:52:39 2021-08-22 15:14:32 [INFO] [TRAIN] epoch: 204, iter: 75620/160000, loss: 0.0625, lr: 0.000032, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6713 samples/sec | ETA 28:02:52 2021-08-22 15:14:44 [INFO] [TRAIN] epoch: 204, iter: 75630/160000, loss: 0.0622, lr: 0.000032, batch_cost: 1.2062, reader_cost: 0.00018, ips: 1.6581 samples/sec | ETA 28:16:04 2021-08-22 15:14:56 [INFO] [TRAIN] epoch: 204, iter: 75640/160000, loss: 0.0694, lr: 0.000032, batch_cost: 1.1983, reader_cost: 0.00017, ips: 1.6691 samples/sec | ETA 28:04:46 2021-08-22 15:15:08 [INFO] [TRAIN] epoch: 204, iter: 75650/160000, loss: 0.0512, lr: 0.000032, batch_cost: 1.1987, reader_cost: 0.00017, ips: 1.6685 samples/sec | ETA 28:05:07 2021-08-22 15:15:20 [INFO] [TRAIN] epoch: 204, iter: 75660/160000, loss: 0.0536, lr: 0.000032, batch_cost: 1.2023, reader_cost: 0.00017, ips: 1.6635 samples/sec | ETA 28:09:58 2021-08-22 15:15:32 [INFO] [TRAIN] epoch: 204, iter: 75670/160000, loss: 0.0795, lr: 0.000032, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6815 samples/sec | ETA 27:51:45 2021-08-22 15:15:44 [INFO] [TRAIN] epoch: 204, iter: 75680/160000, loss: 0.0586, lr: 0.000032, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6768 samples/sec | ETA 27:56:13 2021-08-22 15:15:56 [INFO] [TRAIN] epoch: 204, iter: 75690/160000, loss: 0.0614, lr: 0.000032, batch_cost: 1.1971, reader_cost: 0.00017, ips: 1.6707 samples/sec | ETA 28:02:07 2021-08-22 15:16:08 [INFO] [TRAIN] epoch: 204, iter: 75700/160000, loss: 0.0623, lr: 0.000032, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6765 samples/sec | ETA 27:56:09 2021-08-22 15:16:20 [INFO] [TRAIN] epoch: 204, iter: 75710/160000, loss: 0.0591, lr: 0.000032, batch_cost: 1.1866, reader_cost: 0.00017, ips: 1.6854 samples/sec | ETA 27:47:02 2021-08-22 15:16:32 [INFO] [TRAIN] epoch: 204, iter: 75720/160000, loss: 0.0519, lr: 0.000032, batch_cost: 1.1938, reader_cost: 0.00017, ips: 1.6754 samples/sec | ETA 27:56:51 2021-08-22 15:16:44 [INFO] [TRAIN] epoch: 204, iter: 75730/160000, loss: 0.0560, lr: 0.000032, batch_cost: 1.1986, reader_cost: 0.00018, ips: 1.6686 samples/sec | ETA 28:03:26 2021-08-22 15:16:56 [INFO] [TRAIN] epoch: 204, iter: 75740/160000, loss: 0.0677, lr: 0.000032, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6750 samples/sec | ETA 27:56:49 2021-08-22 15:17:08 [INFO] [TRAIN] epoch: 204, iter: 75750/160000, loss: 0.0508, lr: 0.000032, batch_cost: 1.1916, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 27:53:08 2021-08-22 15:17:20 [INFO] [TRAIN] epoch: 204, iter: 75760/160000, loss: 0.0657, lr: 0.000032, batch_cost: 1.1968, reader_cost: 0.00017, ips: 1.6711 samples/sec | ETA 28:00:17 2021-08-22 15:17:32 [INFO] [TRAIN] epoch: 204, iter: 75770/160000, loss: 0.0490, lr: 0.000032, batch_cost: 1.1857, reader_cost: 0.00018, ips: 1.6868 samples/sec | ETA 27:44:30 2021-08-22 15:17:43 [INFO] [TRAIN] epoch: 204, iter: 75780/160000, loss: 0.0613, lr: 0.000032, batch_cost: 1.1883, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 27:48:01 2021-08-22 15:17:55 [INFO] [TRAIN] epoch: 204, iter: 75790/160000, loss: 0.0770, lr: 0.000032, batch_cost: 1.1967, reader_cost: 0.00017, ips: 1.6713 samples/sec | ETA 27:59:34 2021-08-22 15:18:07 [INFO] [TRAIN] epoch: 204, iter: 75800/160000, loss: 0.0694, lr: 0.000032, batch_cost: 1.1956, reader_cost: 0.00017, ips: 1.6727 samples/sec | ETA 27:57:52 2021-08-22 15:18:19 [INFO] [TRAIN] epoch: 204, iter: 75810/160000, loss: 0.0623, lr: 0.000032, batch_cost: 1.1899, reader_cost: 0.00017, ips: 1.6808 samples/sec | ETA 27:49:37 2021-08-22 15:18:31 [INFO] [TRAIN] epoch: 204, iter: 75820/160000, loss: 0.0562, lr: 0.000032, batch_cost: 1.1978, reader_cost: 0.00017, ips: 1.6697 samples/sec | ETA 28:00:31 2021-08-22 15:18:43 [INFO] [TRAIN] epoch: 204, iter: 75830/160000, loss: 0.0557, lr: 0.000032, batch_cost: 1.1951, reader_cost: 0.00016, ips: 1.6735 samples/sec | ETA 27:56:32 2021-08-22 15:18:55 [INFO] [TRAIN] epoch: 204, iter: 75840/160000, loss: 0.0590, lr: 0.000032, batch_cost: 1.1864, reader_cost: 0.00017, ips: 1.6857 samples/sec | ETA 27:44:09 2021-08-22 15:19:07 [INFO] [TRAIN] epoch: 204, iter: 75850/160000, loss: 0.0862, lr: 0.000032, batch_cost: 1.1968, reader_cost: 0.00018, ips: 1.6711 samples/sec | ETA 27:58:31 2021-08-22 15:19:19 [INFO] [TRAIN] epoch: 204, iter: 75860/160000, loss: 0.0621, lr: 0.000032, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6731 samples/sec | ETA 27:56:19 2021-08-22 15:19:31 [INFO] [TRAIN] epoch: 204, iter: 75870/160000, loss: 0.0565, lr: 0.000032, batch_cost: 1.1957, reader_cost: 0.00017, ips: 1.6726 samples/sec | ETA 27:56:35 2021-08-22 15:19:43 [INFO] [TRAIN] epoch: 204, iter: 75880/160000, loss: 0.0542, lr: 0.000032, batch_cost: 1.1885, reader_cost: 0.00015, ips: 1.6829 samples/sec | ETA 27:46:13 2021-08-22 15:19:57 [INFO] [TRAIN] epoch: 205, iter: 75890/160000, loss: 0.0520, lr: 0.000032, batch_cost: 1.3727, reader_cost: 0.16990, ips: 1.4570 samples/sec | ETA 32:04:13 2021-08-22 15:20:08 [INFO] [TRAIN] epoch: 205, iter: 75900/160000, loss: 0.0596, lr: 0.000032, batch_cost: 1.1860, reader_cost: 0.00064, ips: 1.6863 samples/sec | ETA 27:42:22 2021-08-22 15:20:20 [INFO] [TRAIN] epoch: 205, iter: 75910/160000, loss: 0.0765, lr: 0.000032, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6737 samples/sec | ETA 27:54:45 2021-08-22 15:20:32 [INFO] [TRAIN] epoch: 205, iter: 75920/160000, loss: 0.0638, lr: 0.000032, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6799 samples/sec | ETA 27:48:23 2021-08-22 15:20:44 [INFO] [TRAIN] epoch: 205, iter: 75930/160000, loss: 0.0557, lr: 0.000032, batch_cost: 1.1975, reader_cost: 0.00017, ips: 1.6702 samples/sec | ETA 27:57:51 2021-08-22 15:20:56 [INFO] [TRAIN] epoch: 205, iter: 75940/160000, loss: 0.0546, lr: 0.000032, batch_cost: 1.1844, reader_cost: 0.00016, ips: 1.6886 samples/sec | ETA 27:39:20 2021-08-22 15:21:08 [INFO] [TRAIN] epoch: 205, iter: 75950/160000, loss: 0.0632, lr: 0.000032, batch_cost: 1.1855, reader_cost: 0.00018, ips: 1.6870 samples/sec | ETA 27:40:43 2021-08-22 15:21:20 [INFO] [TRAIN] epoch: 205, iter: 75960/160000, loss: 0.0603, lr: 0.000032, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 27:50:09 2021-08-22 15:21:32 [INFO] [TRAIN] epoch: 205, iter: 75970/160000, loss: 0.0555, lr: 0.000032, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6782 samples/sec | ETA 27:49:05 2021-08-22 15:21:44 [INFO] [TRAIN] epoch: 205, iter: 75980/160000, loss: 0.0494, lr: 0.000032, batch_cost: 1.1944, reader_cost: 0.00017, ips: 1.6745 samples/sec | ETA 27:52:31 2021-08-22 15:21:56 [INFO] [TRAIN] epoch: 205, iter: 75990/160000, loss: 0.0523, lr: 0.000032, batch_cost: 1.2029, reader_cost: 0.00017, ips: 1.6626 samples/sec | ETA 28:04:17 2021-08-22 15:22:08 [INFO] [TRAIN] epoch: 205, iter: 76000/160000, loss: 0.0655, lr: 0.000032, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6799 samples/sec | ETA 27:46:44 2021-08-22 15:22:08 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:33 - batch_cost: 2.2083 - reader cost: 0.3532 2/125 [..............................] - ETA: 4:13 - batch_cost: 2.0572 - reader cost: 0.1767 3/125 [..............................] - ETA: 4:03 - batch_cost: 1.9955 - reader cost: 0.1179 4/125 [..............................] - ETA: 3:56 - batch_cost: 1.9576 - reader cost: 0.0884 5/125 [>.............................] - ETA: 3:52 - batch_cost: 1.9374 - reader cost: 0.0708 6/125 [>.............................] - ETA: 3:49 - batch_cost: 1.9247 - reader cost: 0.0590 7/125 [>.............................] - ETA: 3:46 - batch_cost: 1.9175 - reader cost: 0.0506 8/125 [>.............................] - ETA: 3:43 - batch_cost: 1.9087 - reader cost: 0.0443 9/125 [=>............................] - ETA: 3:40 - batch_cost: 1.9037 - reader cost: 0.0394 10/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9016 - reader cost: 0.0355 11/125 [=>............................] - ETA: 3:36 - batch_cost: 1.9002 - reader cost: 0.0323 12/125 [=>............................] - ETA: 3:34 - batch_cost: 1.8975 - reader cost: 0.0296 13/125 [==>...........................] - ETA: 3:32 - batch_cost: 1.8943 - reader cost: 0.0273 14/125 [==>...........................] - ETA: 3:30 - batch_cost: 1.8919 - reader cost: 0.0254 15/125 [==>...........................] - ETA: 3:27 - batch_cost: 1.8891 - reader cost: 0.0237 16/125 [==>...........................] - ETA: 3:25 - batch_cost: 1.8888 - reader cost: 0.0222 17/125 [===>..........................] - ETA: 3:23 - batch_cost: 1.8868 - reader cost: 0.0209 18/125 [===>..........................] - ETA: 3:21 - batch_cost: 1.8854 - reader cost: 0.0198 19/125 [===>..........................] - ETA: 3:19 - batch_cost: 1.8838 - reader cost: 0.0188 20/125 [===>..........................] - ETA: 3:17 - batch_cost: 1.8818 - reader cost: 0.0178 21/125 [====>.........................] - ETA: 3:15 - batch_cost: 1.8809 - reader cost: 0.0170 22/125 [====>.........................] - ETA: 3:13 - batch_cost: 1.8803 - reader cost: 0.0162 23/125 [====>.........................] - ETA: 3:11 - batch_cost: 1.8798 - reader cost: 0.0155 24/125 [====>.........................] - ETA: 3:09 - batch_cost: 1.8800 - reader cost: 0.0149 25/125 [=====>........................] - ETA: 3:07 - batch_cost: 1.8782 - reader cost: 0.0143 26/125 [=====>........................] - ETA: 3:05 - batch_cost: 1.8784 - reader cost: 0.0138 27/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.8777 - reader cost: 0.0133 28/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8764 - reader cost: 0.0128 29/125 [=====>........................] - ETA: 3:00 - batch_cost: 1.8752 - reader cost: 0.0123 30/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8745 - reader cost: 0.0119 31/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8727 - reader cost: 0.0116 32/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8722 - reader cost: 0.0112 33/125 [======>.......................] - ETA: 2:52 - batch_cost: 1.8713 - reader cost: 0.0109 34/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8702 - reader cost: 0.0106 35/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8695 - reader cost: 0.0103 36/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8692 - reader cost: 0.0100 37/125 [=======>......................] - ETA: 2:44 - batch_cost: 1.8682 - reader cost: 0.0097 38/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8682 - reader cost: 0.0095 39/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8683 - reader cost: 0.0092 40/125 [========>.....................] - ETA: 2:38 - batch_cost: 1.8676 - reader cost: 0.0090 41/125 [========>.....................] - ETA: 2:36 - batch_cost: 1.8667 - reader cost: 0.0088 42/125 [=========>....................] - ETA: 2:34 - batch_cost: 1.8667 - reader cost: 0.0086 43/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.8664 - reader cost: 0.0084 44/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8662 - reader cost: 0.0082 45/125 [=========>....................] - ETA: 2:29 - batch_cost: 1.8662 - reader cost: 0.0080 46/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8662 - reader cost: 0.0079 47/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8655 - reader cost: 0.0077 48/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8652 - reader cost: 0.0075 49/125 [==========>...................] - ETA: 2:21 - batch_cost: 1.8650 - reader cost: 0.0074 50/125 [===========>..................] - ETA: 2:19 - 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[=============>................] - ETA: 1:59 - batch_cost: 1.8620 - reader cost: 0.0060 62/125 [=============>................] - ETA: 1:57 - batch_cost: 1.8616 - reader cost: 0.0059 63/125 [==============>...............] - ETA: 1:55 - batch_cost: 1.8613 - reader cost: 0.0058 64/125 [==============>...............] - ETA: 1:53 - batch_cost: 1.8612 - reader cost: 0.0057 65/125 [==============>...............] - ETA: 1:51 - batch_cost: 1.8609 - reader cost: 0.0056 66/125 [==============>...............] - ETA: 1:49 - batch_cost: 1.8607 - reader cost: 0.0055 67/125 [===============>..............] - ETA: 1:47 - batch_cost: 1.8604 - reader cost: 0.0054 68/125 [===============>..............] - ETA: 1:46 - batch_cost: 1.8600 - reader cost: 0.0054 69/125 [===============>..............] - ETA: 1:44 - batch_cost: 1.8597 - reader cost: 0.0053 70/125 [===============>..............] - ETA: 1:42 - batch_cost: 1.8595 - reader cost: 0.0052 71/125 [================>.............] - ETA: 1:40 - 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[==================>...........] - ETA: 1:19 - batch_cost: 1.8556 - reader cost: 0.0045 83/125 [==================>...........] - ETA: 1:17 - batch_cost: 1.8550 - reader cost: 0.0044 84/125 [===================>..........] - ETA: 1:16 - batch_cost: 1.8547 - reader cost: 0.0044 85/125 [===================>..........] - ETA: 1:14 - batch_cost: 1.8541 - reader cost: 0.0043 86/125 [===================>..........] - ETA: 1:12 - batch_cost: 1.8539 - reader cost: 0.0043 87/125 [===================>..........] - ETA: 1:10 - batch_cost: 1.8534 - reader cost: 0.0042 88/125 [====================>.........] - ETA: 1:08 - batch_cost: 1.8532 - reader cost: 0.0042 89/125 [====================>.........] - ETA: 1:06 - batch_cost: 1.8526 - reader cost: 0.0041 90/125 [====================>.........] - ETA: 1:04 - batch_cost: 1.8524 - reader cost: 0.0041 91/125 [====================>.........] - ETA: 1:02 - batch_cost: 1.8518 - reader cost: 0.0041 92/125 [=====================>........] - ETA: 1:01 - batch_cost: 1.8517 - reader cost: 0.0040 93/125 [=====================>........] - ETA: 59s - batch_cost: 1.8513 - reader cost: 0.0040  94/125 [=====================>........] - ETA: 57s - batch_cost: 1.8510 - reader cost: 0.0039 95/125 [=====================>........] - ETA: 55s - batch_cost: 1.8504 - reader cost: 0.0039 96/125 [======================>.......] - ETA: 53s - batch_cost: 1.8506 - reader cost: 0.0039 97/125 [======================>.......] - ETA: 51s - batch_cost: 1.8505 - reader cost: 0.0038 98/125 [======================>.......] - ETA: 49s - batch_cost: 1.8507 - reader cost: 0.0038 99/125 [======================>.......] - ETA: 48s - batch_cost: 1.8507 - reader cost: 0.0037 100/125 [=======================>......] - ETA: 46s - batch_cost: 1.8506 - reader cost: 0.0037 101/125 [=======================>......] - ETA: 44s - batch_cost: 1.8506 - reader cost: 0.0037 102/125 [=======================>......] - ETA: 42s - batch_cost: 1.8513 - reader cost: 0.0036 103/125 [=======================>......] - ETA: 40s - batch_cost: 1.8512 - reader cost: 0.0036 104/125 [=======================>......] - ETA: 38s - batch_cost: 1.8511 - reader cost: 0.0036 105/125 [========================>.....] - ETA: 37s - batch_cost: 1.8518 - reader cost: 0.0035 106/125 [========================>.....] - ETA: 35s - batch_cost: 1.8516 - reader cost: 0.0035 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8516 - reader cost: 0.0035 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8518 - reader cost: 0.0034 109/125 [=========================>....] - ETA: 29s - batch_cost: 1.8525 - reader cost: 0.0034 110/125 [=========================>....] - ETA: 27s - batch_cost: 1.8527 - reader cost: 0.0034 111/125 [=========================>....] - ETA: 25s - batch_cost: 1.8528 - reader cost: 0.0034 112/125 [=========================>....] - ETA: 24s - batch_cost: 1.8529 - reader cost: 0.0033 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8531 - reader cost: 0.0033 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8533 - reader cost: 0.0033 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8534 - reader cost: 0.0032 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8536 - reader cost: 0.0032 117/125 [===========================>..] - ETA: 14s - batch_cost: 1.8536 - reader cost: 0.0032 118/125 [===========================>..] - ETA: 12s - batch_cost: 1.8539 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8541 - reader cost: 0.0031 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8542 - reader cost: 0.0031  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8544 - reader cost: 0.0031 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8546 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8546 - reader cost: 0.0030 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8542 - reader cost: 0.0030 125/125 [==============================] - 232s 2s/step - batch_cost: 1.8540 - reader cost: 0.0030 2021-08-22 15:26:00 [INFO] [EVAL] #Images: 500 mIoU: 0.8171 Acc: 0.9669 Kappa: 0.9570 2021-08-22 15:26:00 [INFO] [EVAL] Class IoU: [0.9849 0.8755 0.9352 0.6462 0.6499 0.6927 0.7532 0.8153 0.933 0.6699 0.9581 0.8415 0.6522 0.9585 0.8542 0.9206 0.8608 0.7255 0.7974] 2021-08-22 15:26:00 [INFO] [EVAL] Class Acc: [0.9927 0.9317 0.9633 0.8967 0.8524 0.8278 0.8561 0.9069 0.9603 0.8633 0.9745 0.8958 0.8094 0.9751 0.9552 0.9646 0.969 0.8645 0.875 ] 2021-08-22 15:26:03 [INFO] [EVAL] The model with the best validation mIoU (0.8171) was saved at iter 76000. 2021-08-22 15:26:15 [INFO] [TRAIN] epoch: 205, iter: 76010/160000, loss: 0.0503, lr: 0.000031, batch_cost: 1.1920, reader_cost: 0.00059, ips: 1.6779 samples/sec | ETA 27:48:32 2021-08-22 15:26:27 [INFO] [TRAIN] epoch: 205, iter: 76020/160000, loss: 0.0704, lr: 0.000031, batch_cost: 1.1950, reader_cost: 0.00018, ips: 1.6737 samples/sec | ETA 27:52:34 2021-08-22 15:26:39 [INFO] [TRAIN] epoch: 205, iter: 76030/160000, loss: 0.0551, lr: 0.000031, batch_cost: 1.1938, reader_cost: 0.00016, ips: 1.6753 samples/sec | ETA 27:50:45 2021-08-22 15:26:51 [INFO] [TRAIN] epoch: 205, iter: 76040/160000, loss: 0.0569, lr: 0.000031, batch_cost: 1.2026, reader_cost: 0.00016, ips: 1.6631 samples/sec | ETA 28:02:49 2021-08-22 15:27:03 [INFO] [TRAIN] epoch: 205, iter: 76050/160000, loss: 0.0496, lr: 0.000031, batch_cost: 1.2058, reader_cost: 0.00017, ips: 1.6586 samples/sec | ETA 28:07:08 2021-08-22 15:27:15 [INFO] [TRAIN] epoch: 205, iter: 76060/160000, loss: 0.0500, lr: 0.000031, batch_cost: 1.1910, reader_cost: 0.00016, ips: 1.6792 samples/sec | ETA 27:46:16 2021-08-22 15:27:27 [INFO] [TRAIN] epoch: 205, iter: 76070/160000, loss: 0.0470, lr: 0.000031, batch_cost: 1.1926, reader_cost: 0.00016, ips: 1.6770 samples/sec | ETA 27:48:12 2021-08-22 15:27:39 [INFO] [TRAIN] epoch: 205, iter: 76080/160000, loss: 0.0594, lr: 0.000031, batch_cost: 1.2013, reader_cost: 0.00016, ips: 1.6648 samples/sec | ETA 28:00:17 2021-08-22 15:27:51 [INFO] [TRAIN] epoch: 205, iter: 76090/160000, loss: 0.0707, lr: 0.000031, batch_cost: 1.1974, reader_cost: 0.00016, ips: 1.6702 samples/sec | ETA 27:54:37 2021-08-22 15:28:03 [INFO] [TRAIN] epoch: 205, iter: 76100/160000, loss: 0.0622, lr: 0.000031, batch_cost: 1.1918, reader_cost: 0.00016, ips: 1.6781 samples/sec | ETA 27:46:32 2021-08-22 15:28:15 [INFO] [TRAIN] epoch: 205, iter: 76110/160000, loss: 0.0668, lr: 0.000031, batch_cost: 1.1879, reader_cost: 0.00016, ips: 1.6836 samples/sec | ETA 27:40:54 2021-08-22 15:28:27 [INFO] [TRAIN] epoch: 205, iter: 76120/160000, loss: 0.0692, lr: 0.000031, batch_cost: 1.1839, reader_cost: 0.00016, ips: 1.6893 samples/sec | ETA 27:35:04 2021-08-22 15:28:39 [INFO] [TRAIN] epoch: 205, iter: 76130/160000, loss: 0.0606, lr: 0.000031, batch_cost: 1.1995, reader_cost: 0.00018, ips: 1.6673 samples/sec | ETA 27:56:44 2021-08-22 15:28:50 [INFO] [TRAIN] epoch: 205, iter: 76140/160000, loss: 0.0541, lr: 0.000031, batch_cost: 1.1863, reader_cost: 0.00017, ips: 1.6859 samples/sec | ETA 27:38:04 2021-08-22 15:29:02 [INFO] [TRAIN] epoch: 205, iter: 76150/160000, loss: 0.0568, lr: 0.000031, batch_cost: 1.1929, reader_cost: 0.00018, ips: 1.6765 samples/sec | ETA 27:47:08 2021-08-22 15:29:14 [INFO] [TRAIN] epoch: 205, iter: 76160/160000, loss: 0.0586, lr: 0.000031, batch_cost: 1.1934, reader_cost: 0.00019, ips: 1.6760 samples/sec | ETA 27:47:30 2021-08-22 15:29:26 [INFO] [TRAIN] epoch: 205, iter: 76170/160000, loss: 0.0556, lr: 0.000031, batch_cost: 1.1865, reader_cost: 0.00017, ips: 1.6857 samples/sec | ETA 27:37:41 2021-08-22 15:29:38 [INFO] [TRAIN] epoch: 205, iter: 76180/160000, loss: 0.0605, lr: 0.000031, batch_cost: 1.1935, reader_cost: 0.00017, ips: 1.6757 samples/sec | ETA 27:47:22 2021-08-22 15:29:50 [INFO] [TRAIN] epoch: 205, iter: 76190/160000, loss: 0.0932, lr: 0.000031, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6830 samples/sec | ETA 27:39:58 2021-08-22 15:30:02 [INFO] [TRAIN] epoch: 205, iter: 76200/160000, loss: 0.0804, lr: 0.000031, batch_cost: 1.1994, reader_cost: 0.00018, ips: 1.6676 samples/sec | ETA 27:55:06 2021-08-22 15:30:14 [INFO] [TRAIN] epoch: 205, iter: 76210/160000, loss: 0.0692, lr: 0.000031, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6801 samples/sec | ETA 27:42:25 2021-08-22 15:30:26 [INFO] [TRAIN] epoch: 205, iter: 76220/160000, loss: 0.0939, lr: 0.000031, batch_cost: 1.1914, reader_cost: 0.00017, ips: 1.6786 samples/sec | ETA 27:43:38 2021-08-22 15:30:38 [INFO] [TRAIN] epoch: 205, iter: 76230/160000, loss: 0.0747, lr: 0.000031, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6829 samples/sec | ETA 27:39:13 2021-08-22 15:30:50 [INFO] [TRAIN] epoch: 205, iter: 76240/160000, loss: 0.0646, lr: 0.000031, batch_cost: 1.1871, reader_cost: 0.00018, ips: 1.6847 samples/sec | ETA 27:37:14 2021-08-22 15:31:01 [INFO] [TRAIN] epoch: 205, iter: 76250/160000, loss: 0.0589, lr: 0.000031, batch_cost: 1.1868, reader_cost: 0.00061, ips: 1.6852 samples/sec | ETA 27:36:33 2021-08-22 15:31:13 [INFO] [TRAIN] epoch: 205, iter: 76260/160000, loss: 0.0585, lr: 0.000031, batch_cost: 1.1625, reader_cost: 0.00013, ips: 1.7205 samples/sec | ETA 27:02:26 2021-08-22 15:31:27 [INFO] [TRAIN] epoch: 206, iter: 76270/160000, loss: 0.0574, lr: 0.000031, batch_cost: 1.3833, reader_cost: 0.17134, ips: 1.4458 samples/sec | ETA 32:10:24 2021-08-22 15:31:39 [INFO] [TRAIN] epoch: 206, iter: 76280/160000, loss: 0.0510, lr: 0.000031, batch_cost: 1.1811, reader_cost: 0.00065, ips: 1.6934 samples/sec | ETA 27:27:57 2021-08-22 15:31:51 [INFO] [TRAIN] epoch: 206, iter: 76290/160000, loss: 0.0718, lr: 0.000031, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6816 samples/sec | ETA 27:39:19 2021-08-22 15:32:02 [INFO] [TRAIN] epoch: 206, iter: 76300/160000, loss: 0.0659, lr: 0.000031, batch_cost: 1.1832, reader_cost: 0.00017, ips: 1.6903 samples/sec | ETA 27:30:37 2021-08-22 15:32:14 [INFO] [TRAIN] epoch: 206, iter: 76310/160000, loss: 0.0665, lr: 0.000031, batch_cost: 1.1819, reader_cost: 0.00017, ips: 1.6922 samples/sec | ETA 27:28:32 2021-08-22 15:32:26 [INFO] [TRAIN] epoch: 206, iter: 76320/160000, loss: 0.0560, lr: 0.000031, batch_cost: 1.1885, reader_cost: 0.00017, ips: 1.6828 samples/sec | ETA 27:37:31 2021-08-22 15:32:38 [INFO] [TRAIN] epoch: 206, iter: 76330/160000, loss: 0.0643, lr: 0.000031, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6802 samples/sec | ETA 27:39:56 2021-08-22 15:32:50 [INFO] [TRAIN] epoch: 206, iter: 76340/160000, loss: 0.0830, lr: 0.000031, batch_cost: 1.1919, reader_cost: 0.00017, ips: 1.6779 samples/sec | ETA 27:41:57 2021-08-22 15:33:02 [INFO] [TRAIN] epoch: 206, iter: 76350/160000, loss: 0.0685, lr: 0.000031, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 27:37:39 2021-08-22 15:33:14 [INFO] [TRAIN] epoch: 206, iter: 76360/160000, loss: 0.0560, lr: 0.000031, batch_cost: 1.1843, reader_cost: 0.00017, ips: 1.6888 samples/sec | ETA 27:30:55 2021-08-22 15:33:26 [INFO] [TRAIN] epoch: 206, iter: 76370/160000, loss: 0.0617, lr: 0.000031, batch_cost: 1.1879, reader_cost: 0.00017, ips: 1.6837 samples/sec | ETA 27:35:40 2021-08-22 15:33:37 [INFO] [TRAIN] epoch: 206, iter: 76380/160000, loss: 0.0568, lr: 0.000031, batch_cost: 1.1790, reader_cost: 0.00017, ips: 1.6963 samples/sec | ETA 27:23:10 2021-08-22 15:33:49 [INFO] [TRAIN] epoch: 206, iter: 76390/160000, loss: 0.0690, lr: 0.000031, batch_cost: 1.1793, reader_cost: 0.00017, ips: 1.6959 samples/sec | ETA 27:23:20 2021-08-22 15:34:01 [INFO] [TRAIN] epoch: 206, iter: 76400/160000, loss: 0.0619, lr: 0.000031, batch_cost: 1.1964, reader_cost: 0.00017, ips: 1.6717 samples/sec | ETA 27:46:58 2021-08-22 15:34:13 [INFO] [TRAIN] epoch: 206, iter: 76410/160000, loss: 0.0627, lr: 0.000031, batch_cost: 1.1905, reader_cost: 0.00018, ips: 1.6800 samples/sec | ETA 27:38:31 2021-08-22 15:34:25 [INFO] [TRAIN] epoch: 206, iter: 76420/160000, loss: 0.0676, lr: 0.000031, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6724 samples/sec | ETA 27:45:54 2021-08-22 15:34:37 [INFO] [TRAIN] epoch: 206, iter: 76430/160000, loss: 0.0686, lr: 0.000031, batch_cost: 1.1915, reader_cost: 0.00017, ips: 1.6785 samples/sec | ETA 27:39:37 2021-08-22 15:34:49 [INFO] [TRAIN] epoch: 206, iter: 76440/160000, loss: 0.0663, lr: 0.000031, batch_cost: 1.1946, reader_cost: 0.00017, ips: 1.6742 samples/sec | ETA 27:43:41 2021-08-22 15:35:01 [INFO] [TRAIN] epoch: 206, iter: 76450/160000, loss: 0.0622, lr: 0.000031, batch_cost: 1.1934, reader_cost: 0.00018, ips: 1.6759 samples/sec | ETA 27:41:47 2021-08-22 15:35:13 [INFO] [TRAIN] epoch: 206, iter: 76460/160000, loss: 0.0494, lr: 0.000031, batch_cost: 1.1884, reader_cost: 0.00017, ips: 1.6829 samples/sec | ETA 27:34:40 2021-08-22 15:35:25 [INFO] [TRAIN] epoch: 206, iter: 76470/160000, loss: 0.0631, lr: 0.000031, batch_cost: 1.1983, reader_cost: 0.00017, ips: 1.6690 samples/sec | ETA 27:48:13 2021-08-22 15:35:37 [INFO] [TRAIN] epoch: 206, iter: 76480/160000, loss: 0.0585, lr: 0.000031, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 27:40:43 2021-08-22 15:35:49 [INFO] [TRAIN] epoch: 206, iter: 76490/160000, loss: 0.0791, lr: 0.000031, batch_cost: 1.1952, reader_cost: 0.00017, ips: 1.6733 samples/sec | ETA 27:43:35 2021-08-22 15:36:00 [INFO] [TRAIN] epoch: 206, iter: 76500/160000, loss: 0.0468, lr: 0.000031, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6723 samples/sec | ETA 27:44:21 2021-08-22 15:36:13 [INFO] [TRAIN] epoch: 206, iter: 76510/160000, loss: 0.0513, lr: 0.000031, batch_cost: 1.2034, reader_cost: 0.00017, ips: 1.6620 samples/sec | ETA 27:54:30 2021-08-22 15:36:25 [INFO] [TRAIN] epoch: 206, iter: 76520/160000, loss: 0.0512, lr: 0.000031, batch_cost: 1.2069, reader_cost: 0.00019, ips: 1.6571 samples/sec | ETA 27:59:13 2021-08-22 15:36:37 [INFO] [TRAIN] epoch: 206, iter: 76530/160000, loss: 0.0490, lr: 0.000031, batch_cost: 1.2110, reader_cost: 0.00019, ips: 1.6516 samples/sec | ETA 28:04:39 2021-08-22 15:36:49 [INFO] [TRAIN] epoch: 206, iter: 76540/160000, loss: 0.0760, lr: 0.000031, batch_cost: 1.2083, reader_cost: 0.00019, ips: 1.6553 samples/sec | ETA 28:00:42 2021-08-22 15:37:01 [INFO] [TRAIN] epoch: 206, iter: 76550/160000, loss: 0.0795, lr: 0.000031, batch_cost: 1.2021, reader_cost: 0.00019, ips: 1.6638 samples/sec | ETA 27:51:51 2021-08-22 15:37:13 [INFO] [TRAIN] epoch: 206, iter: 76560/160000, loss: 0.0657, lr: 0.000031, batch_cost: 1.2057, reader_cost: 0.00019, ips: 1.6588 samples/sec | ETA 27:56:39 2021-08-22 15:37:25 [INFO] [TRAIN] epoch: 206, iter: 76570/160000, loss: 0.0650, lr: 0.000031, batch_cost: 1.2046, reader_cost: 0.00018, ips: 1.6603 samples/sec | ETA 27:54:57 2021-08-22 15:37:37 [INFO] [TRAIN] epoch: 206, iter: 76580/160000, loss: 0.0617, lr: 0.000031, batch_cost: 1.2023, reader_cost: 0.00019, ips: 1.6635 samples/sec | ETA 27:51:33 2021-08-22 15:37:49 [INFO] [TRAIN] epoch: 206, iter: 76590/160000, loss: 0.0513, lr: 0.000031, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6824 samples/sec | ETA 27:32:33 2021-08-22 15:38:01 [INFO] [TRAIN] epoch: 206, iter: 76600/160000, loss: 0.0695, lr: 0.000031, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6802 samples/sec | ETA 27:34:33 2021-08-22 15:38:13 [INFO] [TRAIN] epoch: 206, iter: 76610/160000, loss: 0.0578, lr: 0.000031, batch_cost: 1.1892, reader_cost: 0.00016, ips: 1.6818 samples/sec | ETA 27:32:50 2021-08-22 15:38:25 [INFO] [TRAIN] epoch: 206, iter: 76620/160000, loss: 0.0713, lr: 0.000031, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 27:31:56 2021-08-22 15:38:36 [INFO] [TRAIN] epoch: 206, iter: 76630/160000, loss: 0.0778, lr: 0.000031, batch_cost: 1.1639, reader_cost: 0.00012, ips: 1.7183 samples/sec | ETA 26:57:15 2021-08-22 15:38:50 [INFO] [TRAIN] epoch: 207, iter: 76640/160000, loss: 0.0708, lr: 0.000031, batch_cost: 1.4163, reader_cost: 0.18189, ips: 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[TRAIN] epoch: 207, iter: 76760/160000, loss: 0.0614, lr: 0.000031, batch_cost: 1.1868, reader_cost: 0.00016, ips: 1.6853 samples/sec | ETA 27:26:26 2021-08-22 15:41:25 [INFO] [TRAIN] epoch: 207, iter: 76770/160000, loss: 0.0573, lr: 0.000031, batch_cost: 1.1934, reader_cost: 0.00017, ips: 1.6759 samples/sec | ETA 27:35:24 2021-08-22 15:41:37 [INFO] [TRAIN] epoch: 207, iter: 76780/160000, loss: 0.0564, lr: 0.000031, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6832 samples/sec | ETA 27:28:05 2021-08-22 15:41:49 [INFO] [TRAIN] epoch: 207, iter: 76790/160000, loss: 0.0734, lr: 0.000031, batch_cost: 1.1992, reader_cost: 0.00017, ips: 1.6678 samples/sec | ETA 27:43:06 2021-08-22 15:42:01 [INFO] [TRAIN] epoch: 207, iter: 76800/160000, loss: 0.0614, lr: 0.000031, batch_cost: 1.1891, reader_cost: 0.00018, ips: 1.6819 samples/sec | ETA 27:28:56 2021-08-22 15:42:13 [INFO] [TRAIN] epoch: 207, iter: 76810/160000, loss: 0.0756, lr: 0.000031, batch_cost: 1.2047, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 207, iter: 76930/160000, loss: 0.0574, lr: 0.000031, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 27:26:07 2021-08-22 15:44:49 [INFO] [TRAIN] epoch: 207, iter: 76940/160000, loss: 0.0568, lr: 0.000031, batch_cost: 1.1883, reader_cost: 0.00018, ips: 1.6831 samples/sec | ETA 27:24:58 2021-08-22 15:45:01 [INFO] [TRAIN] epoch: 207, iter: 76950/160000, loss: 0.0557, lr: 0.000031, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6771 samples/sec | ETA 27:30:38 2021-08-22 15:45:13 [INFO] [TRAIN] epoch: 207, iter: 76960/160000, loss: 0.0606, lr: 0.000031, batch_cost: 1.1935, reader_cost: 0.00018, ips: 1.6757 samples/sec | ETA 27:31:48 2021-08-22 15:45:25 [INFO] [TRAIN] epoch: 207, iter: 76970/160000, loss: 0.0615, lr: 0.000031, batch_cost: 1.2000, reader_cost: 0.00017, ips: 1.6666 samples/sec | ETA 27:40:37 2021-08-22 15:45:36 [INFO] [TRAIN] epoch: 207, iter: 76980/160000, loss: 0.0920, lr: 0.000031, batch_cost: 1.1918, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 208, iter: 77100/160000, loss: 0.0529, lr: 0.000031, batch_cost: 1.2092, reader_cost: 0.00018, ips: 1.6539 samples/sec | ETA 27:50:46 2021-08-22 15:48:14 [INFO] [TRAIN] epoch: 208, iter: 77110/160000, loss: 0.0665, lr: 0.000031, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6775 samples/sec | ETA 27:27:07 2021-08-22 15:48:26 [INFO] [TRAIN] epoch: 208, iter: 77120/160000, loss: 0.0796, lr: 0.000031, batch_cost: 1.1898, reader_cost: 0.00018, ips: 1.6810 samples/sec | ETA 27:23:29 2021-08-22 15:48:38 [INFO] [TRAIN] epoch: 208, iter: 77130/160000, loss: 0.0725, lr: 0.000031, batch_cost: 1.1898, reader_cost: 0.00018, ips: 1.6810 samples/sec | ETA 27:23:16 2021-08-22 15:48:50 [INFO] [TRAIN] epoch: 208, iter: 77140/160000, loss: 0.0728, lr: 0.000031, batch_cost: 1.1877, reader_cost: 0.00017, ips: 1.6840 samples/sec | ETA 27:20:09 2021-08-22 15:49:02 [INFO] [TRAIN] epoch: 208, iter: 77150/160000, loss: 0.0623, lr: 0.000031, batch_cost: 1.1968, reader_cost: 0.00015, ips: 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[TRAIN] epoch: 208, iter: 77270/160000, loss: 0.0708, lr: 0.000031, batch_cost: 1.1831, reader_cost: 0.00018, ips: 1.6905 samples/sec | ETA 27:11:19 2021-08-22 15:51:38 [INFO] [TRAIN] epoch: 208, iter: 77280/160000, loss: 0.0545, lr: 0.000031, batch_cost: 1.1826, reader_cost: 0.00017, ips: 1.6912 samples/sec | ETA 27:10:23 2021-08-22 15:51:50 [INFO] [TRAIN] epoch: 208, iter: 77290/160000, loss: 0.0660, lr: 0.000031, batch_cost: 1.1858, reader_cost: 0.00017, ips: 1.6866 samples/sec | ETA 27:14:37 2021-08-22 15:52:02 [INFO] [TRAIN] epoch: 208, iter: 77300/160000, loss: 0.0768, lr: 0.000031, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6839 samples/sec | ETA 27:17:06 2021-08-22 15:52:13 [INFO] [TRAIN] epoch: 208, iter: 77310/160000, loss: 0.0613, lr: 0.000031, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6803 samples/sec | ETA 27:20:23 2021-08-22 15:52:25 [INFO] [TRAIN] epoch: 208, iter: 77320/160000, loss: 0.0587, lr: 0.000031, batch_cost: 1.1918, reader_cost: 0.00017, ips: 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0.000031, batch_cost: 1.3837, reader_cost: 0.17327, ips: 1.4454 samples/sec | ETA 31:45:18 2021-08-22 15:53:51 [INFO] [TRAIN] epoch: 209, iter: 77390/160000, loss: 0.0624, lr: 0.000031, batch_cost: 1.1924, reader_cost: 0.00065, ips: 1.6773 samples/sec | ETA 27:21:45 2021-08-22 15:54:02 [INFO] [TRAIN] epoch: 209, iter: 77400/160000, loss: 0.0485, lr: 0.000031, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6752 samples/sec | ETA 27:23:35 2021-08-22 15:54:14 [INFO] [TRAIN] epoch: 209, iter: 77410/160000, loss: 0.0668, lr: 0.000031, batch_cost: 1.1880, reader_cost: 0.00017, ips: 1.6836 samples/sec | ETA 27:15:13 2021-08-22 15:54:26 [INFO] [TRAIN] epoch: 209, iter: 77420/160000, loss: 0.0572, lr: 0.000031, batch_cost: 1.1912, reader_cost: 0.00016, ips: 1.6790 samples/sec | ETA 27:19:25 2021-08-22 15:54:38 [INFO] [TRAIN] epoch: 209, iter: 77430/160000, loss: 0.0604, lr: 0.000031, batch_cost: 1.2018, reader_cost: 0.00017, ips: 1.6642 samples/sec | ETA 27:33:51 2021-08-22 15:54:50 [INFO] [TRAIN] epoch: 209, iter: 77440/160000, loss: 0.0589, lr: 0.000031, batch_cost: 1.2011, reader_cost: 0.00017, ips: 1.6652 samples/sec | ETA 27:32:40 2021-08-22 15:55:02 [INFO] [TRAIN] epoch: 209, iter: 77450/160000, loss: 0.0590, lr: 0.000031, batch_cost: 1.2021, reader_cost: 0.00017, ips: 1.6638 samples/sec | ETA 27:33:50 2021-08-22 15:55:14 [INFO] [TRAIN] epoch: 209, iter: 77460/160000, loss: 0.0600, lr: 0.000031, batch_cost: 1.1987, reader_cost: 0.00017, ips: 1.6684 samples/sec | ETA 27:29:02 2021-08-22 15:55:26 [INFO] [TRAIN] epoch: 209, iter: 77470/160000, loss: 0.0605, lr: 0.000031, batch_cost: 1.1928, reader_cost: 0.00017, ips: 1.6767 samples/sec | ETA 27:20:42 2021-08-22 15:55:38 [INFO] [TRAIN] epoch: 209, iter: 77480/160000, loss: 0.0599, lr: 0.000031, batch_cost: 1.1786, reader_cost: 0.00016, ips: 1.6969 samples/sec | ETA 27:00:58 2021-08-22 15:55:50 [INFO] [TRAIN] epoch: 209, iter: 77490/160000, loss: 0.0753, lr: 0.000031, batch_cost: 1.1997, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 209, iter: 77610/160000, loss: 0.0552, lr: 0.000031, batch_cost: 1.1930, reader_cost: 0.00017, ips: 1.6764 samples/sec | ETA 27:18:14 2021-08-22 15:58:26 [INFO] [TRAIN] epoch: 209, iter: 77620/160000, loss: 0.0475, lr: 0.000031, batch_cost: 1.2048, reader_cost: 0.00017, ips: 1.6600 samples/sec | ETA 27:34:10 2021-08-22 15:58:38 [INFO] [TRAIN] epoch: 209, iter: 77630/160000, loss: 0.0536, lr: 0.000031, batch_cost: 1.2114, reader_cost: 0.00018, ips: 1.6510 samples/sec | ETA 27:43:04 2021-08-22 15:58:50 [INFO] [TRAIN] epoch: 209, iter: 77640/160000, loss: 0.0632, lr: 0.000031, batch_cost: 1.2011, reader_cost: 0.00016, ips: 1.6651 samples/sec | ETA 27:28:43 2021-08-22 15:59:02 [INFO] [TRAIN] epoch: 209, iter: 77650/160000, loss: 0.0567, lr: 0.000031, batch_cost: 1.2047, reader_cost: 0.00017, ips: 1.6602 samples/sec | ETA 27:33:23 2021-08-22 15:59:14 [INFO] [TRAIN] epoch: 209, iter: 77660/160000, loss: 0.0561, lr: 0.000031, batch_cost: 1.2059, reader_cost: 0.00019, ips: 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[TRAIN] epoch: 210, iter: 77780/160000, loss: 0.0683, lr: 0.000031, batch_cost: 1.1953, reader_cost: 0.00016, ips: 1.6732 samples/sec | ETA 27:17:56 2021-08-22 16:01:51 [INFO] [TRAIN] epoch: 210, iter: 77790/160000, loss: 0.0511, lr: 0.000031, batch_cost: 1.1997, reader_cost: 0.00016, ips: 1.6670 samples/sec | ETA 27:23:49 2021-08-22 16:02:03 [INFO] [TRAIN] epoch: 210, iter: 77800/160000, loss: 0.0471, lr: 0.000031, batch_cost: 1.1894, reader_cost: 0.00016, ips: 1.6815 samples/sec | ETA 27:09:28 2021-08-22 16:02:15 [INFO] [TRAIN] epoch: 210, iter: 77810/160000, loss: 0.0679, lr: 0.000031, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6799 samples/sec | ETA 27:10:53 2021-08-22 16:02:27 [INFO] [TRAIN] epoch: 210, iter: 77820/160000, loss: 0.0596, lr: 0.000031, batch_cost: 1.1899, reader_cost: 0.00018, ips: 1.6809 samples/sec | ETA 27:09:42 2021-08-22 16:02:39 [INFO] [TRAIN] epoch: 210, iter: 77830/160000, loss: 0.0658, lr: 0.000031, batch_cost: 1.1894, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 210, iter: 77950/160000, loss: 0.0633, lr: 0.000031, batch_cost: 1.2098, reader_cost: 0.00018, ips: 1.6532 samples/sec | ETA 27:34:21 2021-08-22 16:05:15 [INFO] [TRAIN] epoch: 210, iter: 77960/160000, loss: 0.0562, lr: 0.000031, batch_cost: 1.2047, reader_cost: 0.00017, ips: 1.6602 samples/sec | ETA 27:27:13 2021-08-22 16:05:27 [INFO] [TRAIN] epoch: 210, iter: 77970/160000, loss: 0.0551, lr: 0.000031, batch_cost: 1.2099, reader_cost: 0.00017, ips: 1.6531 samples/sec | ETA 27:34:05 2021-08-22 16:05:39 [INFO] [TRAIN] epoch: 210, iter: 77980/160000, loss: 0.0686, lr: 0.000031, batch_cost: 1.2010, reader_cost: 0.00017, ips: 1.6653 samples/sec | ETA 27:21:42 2021-08-22 16:05:51 [INFO] [TRAIN] epoch: 210, iter: 77990/160000, loss: 0.0609, lr: 0.000031, batch_cost: 1.1921, reader_cost: 0.00017, ips: 1.6778 samples/sec | ETA 27:09:21 2021-08-22 16:06:03 [INFO] [TRAIN] epoch: 210, iter: 78000/160000, loss: 0.0544, lr: 0.000031, batch_cost: 1.1974, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 210, iter: 78120/160000, loss: 0.0508, lr: 0.000031, batch_cost: 1.1672, reader_cost: 0.00012, ips: 1.7136 samples/sec | ETA 26:32:46 2021-08-22 16:08:40 [INFO] [TRAIN] epoch: 211, iter: 78130/160000, loss: 0.0627, lr: 0.000031, batch_cost: 1.3975, reader_cost: 0.15144, ips: 1.4311 samples/sec | ETA 31:46:56 2021-08-22 16:08:52 [INFO] [TRAIN] epoch: 211, iter: 78140/160000, loss: 0.0497, lr: 0.000031, batch_cost: 1.1911, reader_cost: 0.00066, ips: 1.6791 samples/sec | ETA 27:05:02 2021-08-22 16:09:04 [INFO] [TRAIN] epoch: 211, iter: 78150/160000, loss: 0.0591, lr: 0.000031, batch_cost: 1.1872, reader_cost: 0.00016, ips: 1.6847 samples/sec | ETA 26:59:28 2021-08-22 16:09:16 [INFO] [TRAIN] epoch: 211, iter: 78160/160000, loss: 0.0534, lr: 0.000031, batch_cost: 1.1855, reader_cost: 0.00017, ips: 1.6871 samples/sec | ETA 26:56:59 2021-08-22 16:09:28 [INFO] [TRAIN] epoch: 211, iter: 78170/160000, loss: 0.0605, lr: 0.000031, batch_cost: 1.1908, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 211, iter: 78290/160000, loss: 0.0671, lr: 0.000031, batch_cost: 1.1902, reader_cost: 0.00018, ips: 1.6804 samples/sec | ETA 27:00:52 2021-08-22 16:12:03 [INFO] [TRAIN] epoch: 211, iter: 78300/160000, loss: 0.0807, lr: 0.000031, batch_cost: 1.1986, reader_cost: 0.00018, ips: 1.6686 samples/sec | ETA 27:12:03 2021-08-22 16:12:15 [INFO] [TRAIN] epoch: 211, iter: 78310/160000, loss: 0.0652, lr: 0.000031, batch_cost: 1.1866, reader_cost: 0.00018, ips: 1.6855 samples/sec | ETA 26:55:31 2021-08-22 16:12:27 [INFO] [TRAIN] epoch: 211, iter: 78320/160000, loss: 0.0504, lr: 0.000031, batch_cost: 1.1924, reader_cost: 0.00018, ips: 1.6773 samples/sec | ETA 27:03:15 2021-08-22 16:12:38 [INFO] [TRAIN] epoch: 211, iter: 78330/160000, loss: 0.0734, lr: 0.000031, batch_cost: 1.1983, reader_cost: 0.00018, ips: 1.6691 samples/sec | ETA 27:11:02 2021-08-22 16:12:50 [INFO] [TRAIN] epoch: 211, iter: 78340/160000, loss: 0.0604, lr: 0.000031, batch_cost: 1.1900, reader_cost: 0.00017, ips: 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0.000031, batch_cost: 1.1878, reader_cost: 0.00018, ips: 1.6838 samples/sec | ETA 26:55:24 2021-08-22 16:14:14 [INFO] [TRAIN] epoch: 211, iter: 78410/160000, loss: 0.0697, lr: 0.000031, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6733 samples/sec | ETA 27:05:21 2021-08-22 16:14:26 [INFO] [TRAIN] epoch: 211, iter: 78420/160000, loss: 0.0560, lr: 0.000031, batch_cost: 1.2007, reader_cost: 0.00017, ips: 1.6657 samples/sec | ETA 27:12:29 2021-08-22 16:14:38 [INFO] [TRAIN] epoch: 211, iter: 78430/160000, loss: 0.0473, lr: 0.000031, batch_cost: 1.2096, reader_cost: 0.00020, ips: 1.6535 samples/sec | ETA 27:24:25 2021-08-22 16:14:50 [INFO] [TRAIN] epoch: 211, iter: 78440/160000, loss: 0.0574, lr: 0.000031, batch_cost: 1.2092, reader_cost: 0.00020, ips: 1.6540 samples/sec | ETA 27:23:42 2021-08-22 16:15:02 [INFO] [TRAIN] epoch: 211, iter: 78450/160000, loss: 0.0524, lr: 0.000031, batch_cost: 1.1955, reader_cost: 0.00018, ips: 1.6730 samples/sec | ETA 27:04:49 2021-08-22 16:15:14 [INFO] [TRAIN] epoch: 211, iter: 78460/160000, loss: 0.0591, lr: 0.000031, batch_cost: 1.1993, reader_cost: 0.00018, ips: 1.6677 samples/sec | ETA 27:09:50 2021-08-22 16:15:26 [INFO] [TRAIN] epoch: 211, iter: 78470/160000, loss: 0.0497, lr: 0.000031, batch_cost: 1.1912, reader_cost: 0.00018, ips: 1.6790 samples/sec | ETA 26:58:36 2021-08-22 16:15:38 [INFO] [TRAIN] epoch: 211, iter: 78480/160000, loss: 0.0616, lr: 0.000031, batch_cost: 1.2042, reader_cost: 0.00018, ips: 1.6609 samples/sec | ETA 27:16:02 2021-08-22 16:15:49 [INFO] [TRAIN] epoch: 211, iter: 78490/160000, loss: 0.0626, lr: 0.000031, batch_cost: 1.1644, reader_cost: 0.00012, ips: 1.7176 samples/sec | ETA 26:21:50 2021-08-22 16:16:04 [INFO] [TRAIN] epoch: 212, iter: 78500/160000, loss: 0.0541, lr: 0.000031, batch_cost: 1.4034, reader_cost: 0.16332, ips: 1.4251 samples/sec | ETA 31:46:18 2021-08-22 16:16:15 [INFO] [TRAIN] epoch: 212, iter: 78510/160000, loss: 0.0546, lr: 0.000031, batch_cost: 1.1888, reader_cost: 0.00065, ips: 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0.000031, batch_cost: 1.1927, reader_cost: 0.00016, ips: 1.6769 samples/sec | ETA 26:58:42 2021-08-22 16:17:39 [INFO] [TRAIN] epoch: 212, iter: 78580/160000, loss: 0.0598, lr: 0.000031, batch_cost: 1.1922, reader_cost: 0.00016, ips: 1.6775 samples/sec | ETA 26:57:51 2021-08-22 16:17:51 [INFO] [TRAIN] epoch: 212, iter: 78590/160000, loss: 0.0629, lr: 0.000031, batch_cost: 1.2006, reader_cost: 0.00016, ips: 1.6658 samples/sec | ETA 27:09:01 2021-08-22 16:18:03 [INFO] [TRAIN] epoch: 212, iter: 78600/160000, loss: 0.0625, lr: 0.000031, batch_cost: 1.2010, reader_cost: 0.00016, ips: 1.6653 samples/sec | ETA 27:09:21 2021-08-22 16:18:15 [INFO] [TRAIN] epoch: 212, iter: 78610/160000, loss: 0.0702, lr: 0.000031, batch_cost: 1.2032, reader_cost: 0.00016, ips: 1.6623 samples/sec | ETA 27:12:06 2021-08-22 16:18:27 [INFO] [TRAIN] epoch: 212, iter: 78620/160000, loss: 0.0793, lr: 0.000031, batch_cost: 1.1949, reader_cost: 0.00016, ips: 1.6737 samples/sec | ETA 27:00:44 2021-08-22 16:18:39 [INFO] [TRAIN] epoch: 212, iter: 78630/160000, loss: 0.0604, lr: 0.000031, batch_cost: 1.1877, reader_cost: 0.00016, ips: 1.6839 samples/sec | ETA 26:50:42 2021-08-22 16:18:51 [INFO] [TRAIN] epoch: 212, iter: 78640/160000, loss: 0.0704, lr: 0.000031, batch_cost: 1.1873, reader_cost: 0.00017, ips: 1.6845 samples/sec | ETA 26:50:00 2021-08-22 16:19:02 [INFO] [TRAIN] epoch: 212, iter: 78650/160000, loss: 0.0508, lr: 0.000031, batch_cost: 1.1835, reader_cost: 0.00017, ips: 1.6899 samples/sec | ETA 26:44:37 2021-08-22 16:19:14 [INFO] [TRAIN] epoch: 212, iter: 78660/160000, loss: 0.0610, lr: 0.000031, batch_cost: 1.1819, reader_cost: 0.00016, ips: 1.6922 samples/sec | ETA 26:42:13 2021-08-22 16:19:26 [INFO] [TRAIN] epoch: 212, iter: 78670/160000, loss: 0.0582, lr: 0.000030, batch_cost: 1.1796, reader_cost: 0.00017, ips: 1.6956 samples/sec | ETA 26:38:53 2021-08-22 16:19:38 [INFO] [TRAIN] epoch: 212, iter: 78680/160000, loss: 0.0577, lr: 0.000030, batch_cost: 1.1866, reader_cost: 0.00016, ips: 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0.000030, batch_cost: 1.1885, reader_cost: 0.00016, ips: 1.6828 samples/sec | ETA 26:49:36 2021-08-22 16:21:01 [INFO] [TRAIN] epoch: 212, iter: 78750/160000, loss: 0.0591, lr: 0.000030, batch_cost: 1.1897, reader_cost: 0.00016, ips: 1.6810 samples/sec | ETA 26:51:06 2021-08-22 16:21:13 [INFO] [TRAIN] epoch: 212, iter: 78760/160000, loss: 0.0468, lr: 0.000030, batch_cost: 1.1931, reader_cost: 0.00017, ips: 1.6762 samples/sec | ETA 26:55:30 2021-08-22 16:21:25 [INFO] [TRAIN] epoch: 212, iter: 78770/160000, loss: 0.0627, lr: 0.000030, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6750 samples/sec | ETA 26:56:29 2021-08-22 16:21:37 [INFO] [TRAIN] epoch: 212, iter: 78780/160000, loss: 0.0558, lr: 0.000030, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 26:54:45 2021-08-22 16:21:49 [INFO] [TRAIN] epoch: 212, iter: 78790/160000, loss: 0.0484, lr: 0.000030, batch_cost: 1.1936, reader_cost: 0.00019, ips: 1.6755 samples/sec | ETA 26:55:35 2021-08-22 16:22:01 [INFO] [TRAIN] epoch: 212, iter: 78800/160000, loss: 0.0654, lr: 0.000030, batch_cost: 1.1931, reader_cost: 0.00018, ips: 1.6764 samples/sec | ETA 26:54:35 2021-08-22 16:22:13 [INFO] [TRAIN] epoch: 212, iter: 78810/160000, loss: 0.0641, lr: 0.000030, batch_cost: 1.1900, reader_cost: 0.00017, ips: 1.6806 samples/sec | ETA 26:50:18 2021-08-22 16:22:25 [INFO] [TRAIN] epoch: 212, iter: 78820/160000, loss: 0.0659, lr: 0.000030, batch_cost: 1.1852, reader_cost: 0.00017, ips: 1.6874 samples/sec | ETA 26:43:38 2021-08-22 16:22:37 [INFO] [TRAIN] epoch: 212, iter: 78830/160000, loss: 0.0713, lr: 0.000030, batch_cost: 1.1928, reader_cost: 0.00018, ips: 1.6767 samples/sec | ETA 26:53:41 2021-08-22 16:22:48 [INFO] [TRAIN] epoch: 212, iter: 78840/160000, loss: 0.0590, lr: 0.000030, batch_cost: 1.1902, reader_cost: 0.00018, ips: 1.6805 samples/sec | ETA 26:49:52 2021-08-22 16:23:00 [INFO] [TRAIN] epoch: 212, iter: 78850/160000, loss: 0.0740, lr: 0.000030, batch_cost: 1.1907, reader_cost: 0.00017, ips: 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[TRAIN] epoch: 213, iter: 78970/160000, loss: 0.0669, lr: 0.000030, batch_cost: 1.1867, reader_cost: 0.00018, ips: 1.6853 samples/sec | ETA 26:42:41 2021-08-22 16:25:37 [INFO] [TRAIN] epoch: 213, iter: 78980/160000, loss: 0.0605, lr: 0.000030, batch_cost: 1.1844, reader_cost: 0.00017, ips: 1.6886 samples/sec | ETA 26:39:20 2021-08-22 16:25:49 [INFO] [TRAIN] epoch: 213, iter: 78990/160000, loss: 0.0621, lr: 0.000030, batch_cost: 1.1857, reader_cost: 0.00018, ips: 1.6868 samples/sec | ETA 26:40:49 2021-08-22 16:26:01 [INFO] [TRAIN] epoch: 213, iter: 79000/160000, loss: 0.0573, lr: 0.000030, batch_cost: 1.1881, reader_cost: 0.00018, ips: 1.6834 samples/sec | ETA 26:43:53 2021-08-22 16:26:13 [INFO] [TRAIN] epoch: 213, iter: 79010/160000, loss: 0.0541, lr: 0.000030, batch_cost: 1.1808, reader_cost: 0.00018, ips: 1.6938 samples/sec | ETA 26:33:53 2021-08-22 16:26:25 [INFO] [TRAIN] epoch: 213, iter: 79020/160000, loss: 0.0594, lr: 0.000030, batch_cost: 1.1965, reader_cost: 0.00017, ips: 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0.000030, batch_cost: 1.1933, reader_cost: 0.00018, ips: 1.6761 samples/sec | ETA 26:49:19 2021-08-22 16:27:49 [INFO] [TRAIN] epoch: 213, iter: 79090/160000, loss: 0.0551, lr: 0.000030, batch_cost: 1.1921, reader_cost: 0.00018, ips: 1.6777 samples/sec | ETA 26:47:31 2021-08-22 16:28:01 [INFO] [TRAIN] epoch: 213, iter: 79100/160000, loss: 0.0694, lr: 0.000030, batch_cost: 1.1975, reader_cost: 0.00017, ips: 1.6701 samples/sec | ETA 26:54:37 2021-08-22 16:28:13 [INFO] [TRAIN] epoch: 213, iter: 79110/160000, loss: 0.0618, lr: 0.000030, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 26:42:34 2021-08-22 16:28:24 [INFO] [TRAIN] epoch: 213, iter: 79120/160000, loss: 0.0809, lr: 0.000030, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6812 samples/sec | ETA 26:43:38 2021-08-22 16:28:36 [INFO] [TRAIN] epoch: 213, iter: 79130/160000, loss: 0.0582, lr: 0.000030, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6732 samples/sec | ETA 26:51:05 2021-08-22 16:28:48 [INFO] [TRAIN] epoch: 213, iter: 79140/160000, loss: 0.0617, lr: 0.000030, batch_cost: 1.1874, reader_cost: 0.00018, ips: 1.6843 samples/sec | ETA 26:40:17 2021-08-22 16:29:00 [INFO] [TRAIN] epoch: 213, iter: 79150/160000, loss: 0.0636, lr: 0.000030, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 26:41:46 2021-08-22 16:29:12 [INFO] [TRAIN] epoch: 213, iter: 79160/160000, loss: 0.0679, lr: 0.000030, batch_cost: 1.1851, reader_cost: 0.00017, ips: 1.6876 samples/sec | ETA 26:36:43 2021-08-22 16:29:24 [INFO] [TRAIN] epoch: 213, iter: 79170/160000, loss: 0.0547, lr: 0.000030, batch_cost: 1.1894, reader_cost: 0.00018, ips: 1.6816 samples/sec | ETA 26:42:16 2021-08-22 16:29:36 [INFO] [TRAIN] epoch: 213, iter: 79180/160000, loss: 0.0724, lr: 0.000030, batch_cost: 1.1902, reader_cost: 0.00017, ips: 1.6804 samples/sec | ETA 26:43:10 2021-08-22 16:29:48 [INFO] [TRAIN] epoch: 213, iter: 79190/160000, loss: 0.0635, lr: 0.000030, batch_cost: 1.1974, reader_cost: 0.00017, ips: 1.6702 samples/sec | ETA 26:52:45 2021-08-22 16:30:00 [INFO] [TRAIN] epoch: 213, iter: 79200/160000, loss: 0.0612, lr: 0.000030, batch_cost: 1.2025, reader_cost: 0.00017, ips: 1.6631 samples/sec | ETA 26:59:25 2021-08-22 16:30:12 [INFO] [TRAIN] epoch: 213, iter: 79210/160000, loss: 0.0643, lr: 0.000030, batch_cost: 1.1794, reader_cost: 0.00017, ips: 1.6958 samples/sec | ETA 26:28:00 2021-08-22 16:30:24 [INFO] [TRAIN] epoch: 213, iter: 79220/160000, loss: 0.0566, lr: 0.000030, batch_cost: 1.1877, reader_cost: 0.00016, ips: 1.6839 samples/sec | ETA 26:39:06 2021-08-22 16:30:35 [INFO] [TRAIN] epoch: 213, iter: 79230/160000, loss: 0.0745, lr: 0.000030, batch_cost: 1.1724, reader_cost: 0.00014, ips: 1.7058 samples/sec | ETA 26:18:18 2021-08-22 16:30:49 [INFO] [TRAIN] epoch: 214, iter: 79240/160000, loss: 0.0533, lr: 0.000030, batch_cost: 1.3934, reader_cost: 0.17675, ips: 1.4354 samples/sec | ETA 31:15:29 2021-08-22 16:31:01 [INFO] [TRAIN] epoch: 214, iter: 79250/160000, loss: 0.0556, lr: 0.000030, batch_cost: 1.1873, reader_cost: 0.00067, ips: 1.6846 samples/sec | ETA 26:37:50 2021-08-22 16:31:13 [INFO] [TRAIN] epoch: 214, iter: 79260/160000, loss: 0.0662, lr: 0.000030, batch_cost: 1.1838, reader_cost: 0.00017, ips: 1.6895 samples/sec | ETA 26:32:58 2021-08-22 16:31:25 [INFO] [TRAIN] epoch: 214, iter: 79270/160000, loss: 0.0604, lr: 0.000030, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 26:38:38 2021-08-22 16:31:37 [INFO] [TRAIN] epoch: 214, iter: 79280/160000, loss: 0.1440, lr: 0.000030, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6752 samples/sec | ETA 26:46:11 2021-08-22 16:31:49 [INFO] [TRAIN] epoch: 214, iter: 79290/160000, loss: 0.0874, lr: 0.000030, batch_cost: 1.1919, reader_cost: 0.00018, ips: 1.6780 samples/sec | ETA 26:43:16 2021-08-22 16:32:01 [INFO] [TRAIN] epoch: 214, iter: 79300/160000, loss: 0.0775, lr: 0.000030, batch_cost: 1.1980, reader_cost: 0.00018, ips: 1.6694 samples/sec | ETA 26:51:19 2021-08-22 16:32:12 [INFO] [TRAIN] epoch: 214, iter: 79310/160000, loss: 0.0844, lr: 0.000030, batch_cost: 1.1814, reader_cost: 0.00017, ips: 1.6929 samples/sec | ETA 26:28:45 2021-08-22 16:32:24 [INFO] [TRAIN] epoch: 214, iter: 79320/160000, loss: 0.0756, lr: 0.000030, batch_cost: 1.1874, reader_cost: 0.00017, ips: 1.6843 samples/sec | ETA 26:36:41 2021-08-22 16:32:36 [INFO] [TRAIN] epoch: 214, iter: 79330/160000, loss: 0.0762, lr: 0.000030, batch_cost: 1.2016, reader_cost: 0.00018, ips: 1.6644 samples/sec | ETA 26:55:36 2021-08-22 16:32:48 [INFO] [TRAIN] epoch: 214, iter: 79340/160000, loss: 0.0720, lr: 0.000030, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6750 samples/sec | ETA 26:45:07 2021-08-22 16:33:00 [INFO] [TRAIN] epoch: 214, iter: 79350/160000, loss: 0.0733, lr: 0.000030, batch_cost: 1.1991, reader_cost: 0.00017, ips: 1.6679 samples/sec | ETA 26:51:50 2021-08-22 16:33:12 [INFO] [TRAIN] epoch: 214, iter: 79360/160000, loss: 0.0555, lr: 0.000030, batch_cost: 1.1879, reader_cost: 0.00017, ips: 1.6836 samples/sec | ETA 26:36:34 2021-08-22 16:33:24 [INFO] [TRAIN] epoch: 214, iter: 79370/160000, loss: 0.0702, lr: 0.000030, batch_cost: 1.1969, reader_cost: 0.00017, ips: 1.6710 samples/sec | ETA 26:48:23 2021-08-22 16:33:36 [INFO] [TRAIN] epoch: 214, iter: 79380/160000, loss: 0.0639, lr: 0.000030, batch_cost: 1.1947, reader_cost: 0.00017, ips: 1.6741 samples/sec | ETA 26:45:13 2021-08-22 16:33:48 [INFO] [TRAIN] epoch: 214, iter: 79390/160000, loss: 0.0773, lr: 0.000030, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 26:41:58 2021-08-22 16:34:00 [INFO] [TRAIN] epoch: 214, iter: 79400/160000, loss: 0.0591, lr: 0.000030, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6737 samples/sec | ETA 26:45:13 2021-08-22 16:34:12 [INFO] [TRAIN] epoch: 214, iter: 79410/160000, loss: 0.0758, lr: 0.000030, batch_cost: 1.2028, reader_cost: 0.00017, ips: 1.6628 samples/sec | ETA 26:55:32 2021-08-22 16:34:24 [INFO] [TRAIN] epoch: 214, iter: 79420/160000, loss: 0.0666, lr: 0.000030, batch_cost: 1.1901, reader_cost: 0.00016, ips: 1.6805 samples/sec | ETA 26:38:21 2021-08-22 16:34:36 [INFO] [TRAIN] epoch: 214, iter: 79430/160000, loss: 0.0568, lr: 0.000030, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 26:36:11 2021-08-22 16:34:48 [INFO] [TRAIN] epoch: 214, iter: 79440/160000, loss: 0.0654, lr: 0.000030, batch_cost: 1.1889, reader_cost: 0.00017, ips: 1.6822 samples/sec | ETA 26:36:18 2021-08-22 16:35:00 [INFO] [TRAIN] epoch: 214, iter: 79450/160000, loss: 0.0716, lr: 0.000030, batch_cost: 1.1940, reader_cost: 0.00017, ips: 1.6751 samples/sec | ETA 26:42:55 2021-08-22 16:35:12 [INFO] [TRAIN] epoch: 214, iter: 79460/160000, loss: 0.0540, lr: 0.000030, batch_cost: 1.1987, reader_cost: 0.00017, ips: 1.6684 samples/sec | ETA 26:49:06 2021-08-22 16:35:24 [INFO] [TRAIN] epoch: 214, iter: 79470/160000, loss: 0.0538, lr: 0.000030, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6714 samples/sec | ETA 26:46:00 2021-08-22 16:35:35 [INFO] [TRAIN] epoch: 214, iter: 79480/160000, loss: 0.0690, lr: 0.000030, batch_cost: 1.1981, reader_cost: 0.00018, ips: 1.6693 samples/sec | ETA 26:47:53 2021-08-22 16:35:47 [INFO] [TRAIN] epoch: 214, iter: 79490/160000, loss: 0.0678, lr: 0.000030, batch_cost: 1.1817, reader_cost: 0.00017, ips: 1.6925 samples/sec | ETA 26:25:38 2021-08-22 16:35:59 [INFO] [TRAIN] epoch: 214, iter: 79500/160000, loss: 0.0554, lr: 0.000030, batch_cost: 1.1836, reader_cost: 0.00017, ips: 1.6898 samples/sec | ETA 26:27:56 2021-08-22 16:36:11 [INFO] [TRAIN] epoch: 214, iter: 79510/160000, loss: 0.0575, lr: 0.000030, batch_cost: 1.1868, reader_cost: 0.00017, ips: 1.6852 samples/sec | ETA 26:32:03 2021-08-22 16:36:23 [INFO] [TRAIN] epoch: 214, iter: 79520/160000, loss: 0.0583, lr: 0.000030, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6799 samples/sec | ETA 26:36:56 2021-08-22 16:36:35 [INFO] [TRAIN] epoch: 214, iter: 79530/160000, loss: 0.0781, lr: 0.000030, batch_cost: 1.1921, reader_cost: 0.00018, ips: 1.6777 samples/sec | ETA 26:38:46 2021-08-22 16:36:47 [INFO] [TRAIN] epoch: 214, iter: 79540/160000, loss: 0.0639, lr: 0.000030, batch_cost: 1.1836, reader_cost: 0.00017, ips: 1.6897 samples/sec | ETA 26:27:16 2021-08-22 16:36:59 [INFO] [TRAIN] epoch: 214, iter: 79550/160000, loss: 0.0641, lr: 0.000030, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6817 samples/sec | ETA 26:34:36 2021-08-22 16:37:10 [INFO] [TRAIN] epoch: 214, iter: 79560/160000, loss: 0.0604, lr: 0.000030, batch_cost: 1.1848, reader_cost: 0.00017, ips: 1.6881 samples/sec | ETA 26:28:22 2021-08-22 16:37:22 [INFO] [TRAIN] epoch: 214, iter: 79570/160000, loss: 0.0705, lr: 0.000030, batch_cost: 1.1889, reader_cost: 0.00017, ips: 1.6823 samples/sec | ETA 26:33:40 2021-08-22 16:37:34 [INFO] [TRAIN] epoch: 214, iter: 79580/160000, loss: 0.0594, lr: 0.000030, batch_cost: 1.1904, reader_cost: 0.00017, ips: 1.6801 samples/sec | ETA 26:35:35 2021-08-22 16:37:46 [INFO] [TRAIN] epoch: 214, iter: 79590/160000, loss: 0.0540, lr: 0.000030, batch_cost: 1.1949, reader_cost: 0.00017, ips: 1.6738 samples/sec | ETA 26:41:23 2021-08-22 16:37:58 [INFO] [TRAIN] epoch: 214, iter: 79600/160000, loss: 0.0652, lr: 0.000030, batch_cost: 1.1894, reader_cost: 0.00016, ips: 1.6816 samples/sec | ETA 26:33:46 2021-08-22 16:38:12 [INFO] [TRAIN] epoch: 215, iter: 79610/160000, loss: 0.0669, lr: 0.000030, batch_cost: 1.3620, reader_cost: 0.16589, ips: 1.4684 samples/sec | ETA 30:24:53 2021-08-22 16:38:24 [INFO] [TRAIN] epoch: 215, iter: 79620/160000, loss: 0.0586, lr: 0.000030, batch_cost: 1.1922, reader_cost: 0.00066, ips: 1.6776 samples/sec | ETA 26:37:09 2021-08-22 16:38:36 [INFO] [TRAIN] epoch: 215, iter: 79630/160000, loss: 0.0686, lr: 0.000030, batch_cost: 1.2016, reader_cost: 0.00017, ips: 1.6644 samples/sec | ETA 26:49:35 2021-08-22 16:38:48 [INFO] [TRAIN] epoch: 215, iter: 79640/160000, loss: 0.0690, lr: 0.000030, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 26:35:07 2021-08-22 16:39:00 [INFO] [TRAIN] epoch: 215, iter: 79650/160000, loss: 0.0587, lr: 0.000030, batch_cost: 1.2073, reader_cost: 0.00016, ips: 1.6566 samples/sec | ETA 26:56:45 2021-08-22 16:39:12 [INFO] [TRAIN] epoch: 215, iter: 79660/160000, loss: 0.0526, lr: 0.000030, batch_cost: 1.1955, reader_cost: 0.00018, ips: 1.6729 samples/sec | ETA 26:40:46 2021-08-22 16:39:23 [INFO] [TRAIN] epoch: 215, iter: 79670/160000, loss: 0.0487, lr: 0.000030, batch_cost: 1.1905, reader_cost: 0.00017, ips: 1.6800 samples/sec | ETA 26:33:51 2021-08-22 16:39:35 [INFO] [TRAIN] epoch: 215, iter: 79680/160000, loss: 0.0632, lr: 0.000030, batch_cost: 1.1950, reader_cost: 0.00017, ips: 1.6736 samples/sec | ETA 26:39:43 2021-08-22 16:39:47 [INFO] [TRAIN] epoch: 215, iter: 79690/160000, loss: 0.0594, lr: 0.000030, batch_cost: 1.1843, reader_cost: 0.00017, ips: 1.6888 samples/sec | ETA 26:25:08 2021-08-22 16:39:59 [INFO] [TRAIN] epoch: 215, iter: 79700/160000, loss: 0.0573, lr: 0.000030, batch_cost: 1.1881, reader_cost: 0.00017, ips: 1.6833 samples/sec | ETA 26:30:05 2021-08-22 16:40:11 [INFO] [TRAIN] epoch: 215, iter: 79710/160000, loss: 0.0484, lr: 0.000030, batch_cost: 1.1858, reader_cost: 0.00017, ips: 1.6866 samples/sec | ETA 26:26:48 2021-08-22 16:40:23 [INFO] [TRAIN] epoch: 215, iter: 79720/160000, loss: 0.0527, lr: 0.000030, batch_cost: 1.2104, reader_cost: 0.00017, ips: 1.6524 samples/sec | ETA 26:59:29 2021-08-22 16:40:35 [INFO] [TRAIN] epoch: 215, iter: 79730/160000, loss: 0.0595, lr: 0.000030, batch_cost: 1.1939, reader_cost: 0.00017, ips: 1.6752 samples/sec | ETA 26:37:12 2021-08-22 16:40:47 [INFO] [TRAIN] epoch: 215, iter: 79740/160000, loss: 0.0782, lr: 0.000030, batch_cost: 1.1976, reader_cost: 0.00017, ips: 1.6700 samples/sec | ETA 26:41:57 2021-08-22 16:40:59 [INFO] [TRAIN] epoch: 215, iter: 79750/160000, loss: 0.0603, lr: 0.000030, batch_cost: 1.1880, reader_cost: 0.00016, ips: 1.6835 samples/sec | ETA 26:28:54 2021-08-22 16:41:11 [INFO] [TRAIN] epoch: 215, iter: 79760/160000, loss: 0.0606, lr: 0.000030, batch_cost: 1.1863, reader_cost: 0.00016, ips: 1.6859 samples/sec | ETA 26:26:32 2021-08-22 16:41:23 [INFO] [TRAIN] epoch: 215, iter: 79770/160000, loss: 0.0535, lr: 0.000030, batch_cost: 1.1908, reader_cost: 0.00016, ips: 1.6796 samples/sec | ETA 26:32:15 2021-08-22 16:41:35 [INFO] [TRAIN] epoch: 215, iter: 79780/160000, loss: 0.0694, lr: 0.000030, batch_cost: 1.1853, reader_cost: 0.00017, ips: 1.6874 samples/sec | ETA 26:24:41 2021-08-22 16:41:46 [INFO] [TRAIN] epoch: 215, iter: 79790/160000, loss: 0.0636, lr: 0.000030, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 26:29:04 2021-08-22 16:41:58 [INFO] [TRAIN] epoch: 215, iter: 79800/160000, loss: 0.0632, lr: 0.000030, batch_cost: 1.1818, reader_cost: 0.00016, ips: 1.6923 samples/sec | ETA 26:19:43 2021-08-22 16:42:10 [INFO] [TRAIN] epoch: 215, iter: 79810/160000, loss: 0.0698, lr: 0.000030, batch_cost: 1.1953, reader_cost: 0.00016, ips: 1.6732 samples/sec | ETA 26:37:32 2021-08-22 16:42:22 [INFO] [TRAIN] epoch: 215, iter: 79820/160000, loss: 0.0602, lr: 0.000030, batch_cost: 1.1880, reader_cost: 0.00016, ips: 1.6835 samples/sec | ETA 26:27:36 2021-08-22 16:42:34 [INFO] [TRAIN] epoch: 215, iter: 79830/160000, loss: 0.0655, lr: 0.000030, batch_cost: 1.1933, reader_cost: 0.00016, ips: 1.6761 samples/sec | ETA 26:34:25 2021-08-22 16:42:46 [INFO] [TRAIN] epoch: 215, iter: 79840/160000, loss: 0.0585, lr: 0.000030, batch_cost: 1.1904, reader_cost: 0.00016, ips: 1.6800 samples/sec | ETA 26:30:25 2021-08-22 16:42:58 [INFO] [TRAIN] epoch: 215, iter: 79850/160000, loss: 0.0588, lr: 0.000030, batch_cost: 1.1906, reader_cost: 0.00017, ips: 1.6798 samples/sec | ETA 26:30:26 2021-08-22 16:43:10 [INFO] [TRAIN] epoch: 215, iter: 79860/160000, loss: 0.0589, lr: 0.000030, batch_cost: 1.1886, reader_cost: 0.00016, ips: 1.6827 samples/sec | ETA 26:27:33 2021-08-22 16:43:22 [INFO] [TRAIN] epoch: 215, iter: 79870/160000, loss: 0.0734, lr: 0.000030, batch_cost: 1.1880, reader_cost: 0.00016, ips: 1.6835 samples/sec | ETA 26:26:37 2021-08-22 16:43:33 [INFO] [TRAIN] epoch: 215, iter: 79880/160000, loss: 0.0546, lr: 0.000030, batch_cost: 1.1919, reader_cost: 0.00016, ips: 1.6780 samples/sec | ETA 26:31:37 2021-08-22 16:43:45 [INFO] [TRAIN] epoch: 215, iter: 79890/160000, loss: 0.0568, lr: 0.000030, batch_cost: 1.1942, reader_cost: 0.00016, ips: 1.6747 samples/sec | ETA 26:34:31 2021-08-22 16:43:57 [INFO] [TRAIN] epoch: 215, iter: 79900/160000, loss: 0.0550, lr: 0.000030, batch_cost: 1.1861, reader_cost: 0.00016, ips: 1.6862 samples/sec | ETA 26:23:25 2021-08-22 16:44:09 [INFO] [TRAIN] epoch: 215, iter: 79910/160000, loss: 0.0574, lr: 0.000030, batch_cost: 1.1851, reader_cost: 0.00016, ips: 1.6876 samples/sec | ETA 26:21:58 2021-08-22 16:44:21 [INFO] [TRAIN] epoch: 215, iter: 79920/160000, loss: 0.0767, lr: 0.000030, batch_cost: 1.1884, reader_cost: 0.00016, ips: 1.6830 samples/sec | ETA 26:26:06 2021-08-22 16:44:33 [INFO] [TRAIN] epoch: 215, iter: 79930/160000, loss: 0.0676, lr: 0.000030, batch_cost: 1.1863, reader_cost: 0.00016, ips: 1.6859 samples/sec | ETA 26:23:10 2021-08-22 16:44:45 [INFO] [TRAIN] epoch: 215, iter: 79940/160000, loss: 0.0576, lr: 0.000030, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6838 samples/sec | ETA 26:24:56 2021-08-22 16:44:57 [INFO] [TRAIN] epoch: 215, iter: 79950/160000, loss: 0.0636, lr: 0.000030, batch_cost: 1.1956, reader_cost: 0.00016, ips: 1.6727 samples/sec | ETA 26:35:11 2021-08-22 16:45:09 [INFO] [TRAIN] epoch: 215, iter: 79960/160000, loss: 0.0662, lr: 0.000030, batch_cost: 1.1993, reader_cost: 0.00016, ips: 1.6677 samples/sec | ETA 26:39:49 2021-08-22 16:45:21 [INFO] [TRAIN] epoch: 215, iter: 79970/160000, loss: 0.0682, lr: 0.000030, batch_cost: 1.1831, reader_cost: 0.00017, ips: 1.6905 samples/sec | ETA 26:18:03 2021-08-22 16:45:32 [INFO] [TRAIN] epoch: 215, iter: 79980/160000, loss: 0.0583, lr: 0.000030, batch_cost: 1.1639, reader_cost: 0.00012, ips: 1.7183 samples/sec | ETA 25:52:16 2021-08-22 16:45:46 [INFO] [TRAIN] epoch: 216, iter: 79990/160000, loss: 0.0555, lr: 0.000030, batch_cost: 1.4053, reader_cost: 0.19348, ips: 1.4232 samples/sec | ETA 31:13:58 2021-08-22 16:45:58 [INFO] [TRAIN] epoch: 216, iter: 80000/160000, loss: 0.0573, lr: 0.000030, batch_cost: 1.1982, reader_cost: 0.00067, ips: 1.6692 samples/sec | ETA 26:37:33 2021-08-22 16:45:58 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:52 - batch_cost: 2.3552 - reader cost: 0.4097 2/125 [..............................] - ETA: 4:20 - batch_cost: 2.1207 - reader cost: 0.2049 3/125 [..............................] - ETA: 4:09 - batch_cost: 2.0423 - reader cost: 0.1367 4/125 [..............................] - ETA: 4:02 - batch_cost: 2.0016 - reader cost: 0.1026 5/125 [>.............................] - ETA: 3:57 - batch_cost: 1.9761 - reader cost: 0.0821 6/125 [>.............................] - ETA: 3:53 - batch_cost: 1.9618 - reader cost: 0.0684 7/125 [>.............................] - ETA: 3:49 - batch_cost: 1.9477 - reader cost: 0.0587 8/125 [>.............................] - ETA: 3:46 - batch_cost: 1.9394 - reader cost: 0.0514 9/125 [=>............................] - ETA: 3:44 - batch_cost: 1.9338 - reader cost: 0.0457 10/125 [=>............................] - ETA: 3:41 - batch_cost: 1.9291 - reader cost: 0.0411 11/125 [=>............................] - ETA: 3:39 - batch_cost: 1.9253 - reader cost: 0.0374 12/125 [=>............................] - ETA: 3:37 - batch_cost: 1.9224 - reader cost: 0.0343 13/125 [==>...........................] - ETA: 3:34 - batch_cost: 1.9190 - reader cost: 0.0317 14/125 [==>...........................] - ETA: 3:32 - batch_cost: 1.9156 - reader cost: 0.0294 15/125 [==>...........................] - ETA: 3:30 - batch_cost: 1.9129 - reader cost: 0.0275 16/125 [==>...........................] - ETA: 3:28 - batch_cost: 1.9111 - reader cost: 0.0258 17/125 [===>..........................] - ETA: 3:26 - batch_cost: 1.9098 - reader cost: 0.0243 18/125 [===>..........................] - ETA: 3:24 - batch_cost: 1.9075 - reader cost: 0.0229 19/125 [===>..........................] - ETA: 3:22 - batch_cost: 1.9068 - reader cost: 0.0217 20/125 [===>..........................] - ETA: 3:20 - batch_cost: 1.9054 - reader cost: 0.0207 21/125 [====>.........................] - ETA: 3:18 - batch_cost: 1.9051 - reader cost: 0.0197 22/125 [====>.........................] - ETA: 3:16 - batch_cost: 1.9042 - reader cost: 0.0188 23/125 [====>.........................] - ETA: 3:14 - batch_cost: 1.9029 - reader cost: 0.0180 24/125 [====>.........................] - ETA: 3:12 - batch_cost: 1.9019 - reader cost: 0.0172 25/125 [=====>........................] - ETA: 3:10 - batch_cost: 1.9019 - reader cost: 0.0166 26/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.9010 - reader cost: 0.0159 27/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.9004 - reader cost: 0.0154 28/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.8998 - reader cost: 0.0148 29/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8994 - reader cost: 0.0143 30/125 [======>.......................] - ETA: 3:00 - batch_cost: 1.8987 - reader cost: 0.0138 31/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8979 - reader cost: 0.0134 32/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8974 - reader cost: 0.0130 33/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8966 - reader cost: 0.0126 34/125 [=======>......................] - ETA: 2:52 - batch_cost: 1.8955 - reader cost: 0.0122 35/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8952 - reader cost: 0.0119 36/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8946 - reader cost: 0.0116 37/125 [=======>......................] - ETA: 2:46 - batch_cost: 1.8940 - reader cost: 0.0113 38/125 [========>.....................] - ETA: 2:44 - batch_cost: 1.8933 - reader cost: 0.0110 39/125 [========>.....................] - ETA: 2:42 - batch_cost: 1.8934 - reader cost: 0.0107 40/125 [========>.....................] - ETA: 2:40 - batch_cost: 1.8929 - reader cost: 0.0104 41/125 [========>.....................] - ETA: 2:39 - batch_cost: 1.8929 - reader cost: 0.0102 42/125 [=========>....................] - ETA: 2:37 - batch_cost: 1.8929 - reader cost: 0.0099 43/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.8928 - reader cost: 0.0097 44/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.8922 - reader cost: 0.0095 45/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8916 - reader cost: 0.0093 46/125 [==========>...................] - ETA: 2:29 - batch_cost: 1.8912 - reader cost: 0.0091 47/125 [==========>...................] - ETA: 2:27 - batch_cost: 1.8910 - reader cost: 0.0089 48/125 [==========>...................] - ETA: 2:25 - batch_cost: 1.8906 - reader cost: 0.0087 49/125 [==========>...................] - ETA: 2:23 - batch_cost: 1.8903 - reader cost: 0.0085 50/125 [===========>..................] - ETA: 2:21 - batch_cost: 1.8902 - reader cost: 0.0084 51/125 [===========>..................] - ETA: 2:19 - batch_cost: 1.8897 - reader cost: 0.0082 52/125 [===========>..................] - ETA: 2:17 - batch_cost: 1.8895 - reader cost: 0.0081 53/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8894 - reader cost: 0.0079 54/125 [===========>..................] - ETA: 2:14 - batch_cost: 1.8890 - reader cost: 0.0078 55/125 [============>.................] - ETA: 2:12 - batch_cost: 1.8887 - reader cost: 0.0076 56/125 [============>.................] - ETA: 2:10 - batch_cost: 1.8881 - reader cost: 0.0075 57/125 [============>.................] - ETA: 2:08 - batch_cost: 1.8879 - reader cost: 0.0074 58/125 [============>.................] - ETA: 2:06 - batch_cost: 1.8875 - reader cost: 0.0072 59/125 [=============>................] - ETA: 2:04 - 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[===============>..............] - ETA: 1:43 - batch_cost: 1.8842 - reader cost: 0.0060 71/125 [================>.............] - ETA: 1:41 - batch_cost: 1.8842 - reader cost: 0.0059 72/125 [================>.............] - ETA: 1:39 - batch_cost: 1.8840 - reader cost: 0.0059 73/125 [================>.............] - ETA: 1:37 - batch_cost: 1.8838 - reader cost: 0.0058 74/125 [================>.............] - ETA: 1:36 - batch_cost: 1.8837 - reader cost: 0.0057 75/125 [=================>............] - ETA: 1:34 - batch_cost: 1.8834 - reader cost: 0.0056 76/125 [=================>............] - ETA: 1:32 - batch_cost: 1.8831 - reader cost: 0.0056 77/125 [=================>............] - ETA: 1:30 - batch_cost: 1.8827 - reader cost: 0.0055 78/125 [=================>............] - ETA: 1:28 - batch_cost: 1.8825 - reader cost: 0.0054 79/125 [=================>............] - ETA: 1:26 - batch_cost: 1.8824 - reader cost: 0.0054 80/125 [==================>...........] - ETA: 1:24 - 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[====================>.........] - ETA: 1:03 - batch_cost: 1.8803 - reader cost: 0.0047 92/125 [=====================>........] - ETA: 1:02 - batch_cost: 1.8803 - reader cost: 0.0046 93/125 [=====================>........] - ETA: 1:00 - batch_cost: 1.8802 - reader cost: 0.0046 94/125 [=====================>........] - ETA: 58s - batch_cost: 1.8805 - reader cost: 0.0045  95/125 [=====================>........] - ETA: 56s - batch_cost: 1.8804 - reader cost: 0.0045 96/125 [======================>.......] - ETA: 54s - batch_cost: 1.8797 - reader cost: 0.0044 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8803 - reader cost: 0.0044 98/125 [======================>.......] - ETA: 50s - batch_cost: 1.8802 - reader cost: 0.0044 99/125 [======================>.......] - ETA: 48s - batch_cost: 1.8800 - reader cost: 0.0043 100/125 [=======================>......] - ETA: 47s - batch_cost: 1.8800 - reader cost: 0.0043 101/125 [=======================>......] - ETA: 45s - 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[=========================>....] - ETA: 24s - batch_cost: 1.8784 - reader cost: 0.0038 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8784 - reader cost: 0.0038 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8782 - reader cost: 0.0038 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8782 - reader cost: 0.0037 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8781 - reader cost: 0.0037 117/125 [===========================>..] - ETA: 15s - batch_cost: 1.8778 - reader cost: 0.0037 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8776 - reader cost: 0.0036 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8775 - reader cost: 0.0036 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8774 - reader cost: 0.0036  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8773 - reader cost: 0.0036 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8772 - reader cost: 0.0035 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8770 - reader cost: 0.0035 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8767 - reader cost: 0.0035 125/125 [==============================] - 235s 2s/step - batch_cost: 1.8765 - reader cost: 0.0035 2021-08-22 16:49:53 [INFO] [EVAL] #Images: 500 mIoU: 0.8148 Acc: 0.9665 Kappa: 0.9565 2021-08-22 16:49:53 [INFO] [EVAL] Class IoU: [0.9853 0.878 0.9357 0.6654 0.6576 0.6913 0.7532 0.8254 0.9296 0.6309 0.9569 0.8428 0.6596 0.9569 0.856 0.8939 0.8471 0.7163 0.7985] 2021-08-22 16:49:53 [INFO] [EVAL] Class Acc: [0.9926 0.9374 0.9638 0.8779 0.8427 0.848 0.8621 0.9061 0.9601 0.7748 0.9753 0.8994 0.8067 0.9756 0.9613 0.9321 0.9361 0.819 0.8798] 2021-08-22 16:49:55 [INFO] [EVAL] The model with the best validation mIoU (0.8171) was saved at iter 76000. 2021-08-22 16:50:07 [INFO] [TRAIN] epoch: 216, iter: 80010/160000, loss: 0.0667, lr: 0.000030, batch_cost: 1.2052, reader_cost: 0.00052, ips: 1.6594 samples/sec | ETA 26:46:47 2021-08-22 16:50:19 [INFO] [TRAIN] epoch: 216, iter: 80020/160000, loss: 0.0615, lr: 0.000030, batch_cost: 1.2094, reader_cost: 0.00017, ips: 1.6537 samples/sec | ETA 26:52:08 2021-08-22 16:50:31 [INFO] [TRAIN] epoch: 216, iter: 80030/160000, loss: 0.0625, lr: 0.000030, batch_cost: 1.2005, reader_cost: 0.00017, ips: 1.6660 samples/sec | ETA 26:40:04 2021-08-22 16:50:43 [INFO] [TRAIN] epoch: 216, iter: 80040/160000, loss: 0.0566, lr: 0.000030, batch_cost: 1.1917, reader_cost: 0.00016, ips: 1.6783 samples/sec | ETA 26:28:09 2021-08-22 16:50:55 [INFO] [TRAIN] epoch: 216, iter: 80050/160000, loss: 0.0525, lr: 0.000030, batch_cost: 1.2090, reader_cost: 0.00018, ips: 1.6542 samples/sec | ETA 26:51:03 2021-08-22 16:51:07 [INFO] [TRAIN] epoch: 216, iter: 80060/160000, loss: 0.0560, lr: 0.000030, batch_cost: 1.1871, reader_cost: 0.00017, ips: 1.6848 samples/sec | ETA 26:21:35 2021-08-22 16:51:19 [INFO] [TRAIN] epoch: 216, iter: 80070/160000, loss: 0.0644, lr: 0.000030, batch_cost: 1.1914, reader_cost: 0.00017, ips: 1.6787 samples/sec | ETA 26:27:06 2021-08-22 16:51:31 [INFO] [TRAIN] epoch: 216, iter: 80080/160000, loss: 0.0643, lr: 0.000030, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6699 samples/sec | ETA 26:35:17 2021-08-22 16:51:43 [INFO] [TRAIN] epoch: 216, iter: 80090/160000, loss: 0.0648, lr: 0.000030, batch_cost: 1.1910, reader_cost: 0.00017, ips: 1.6793 samples/sec | ETA 26:26:09 2021-08-22 16:51:55 [INFO] [TRAIN] epoch: 216, iter: 80100/160000, loss: 0.0672, lr: 0.000030, batch_cost: 1.1872, reader_cost: 0.00017, ips: 1.6846 samples/sec | ETA 26:20:58 2021-08-22 16:52:07 [INFO] [TRAIN] epoch: 216, iter: 80110/160000, loss: 0.0638, lr: 0.000030, batch_cost: 1.1973, reader_cost: 0.00018, ips: 1.6704 samples/sec | ETA 26:34:11 2021-08-22 16:52:19 [INFO] [TRAIN] epoch: 216, iter: 80120/160000, loss: 0.0562, lr: 0.000030, batch_cost: 1.1912, reader_cost: 0.00017, ips: 1.6790 samples/sec | ETA 26:25:50 2021-08-22 16:52:31 [INFO] [TRAIN] epoch: 216, iter: 80130/160000, loss: 0.0594, lr: 0.000030, batch_cost: 1.2038, reader_cost: 0.00017, ips: 1.6614 samples/sec | ETA 26:42:29 2021-08-22 16:52:43 [INFO] [TRAIN] epoch: 216, iter: 80140/160000, loss: 0.2278, lr: 0.000030, batch_cost: 1.1825, reader_cost: 0.00016, ips: 1.6913 samples/sec | ETA 26:13:54 2021-08-22 16:52:55 [INFO] [TRAIN] epoch: 216, iter: 80150/160000, loss: 0.1046, lr: 0.000030, batch_cost: 1.1824, reader_cost: 0.00016, ips: 1.6915 samples/sec | ETA 26:13:35 2021-08-22 16:53:06 [INFO] [TRAIN] epoch: 216, iter: 80160/160000, loss: 0.0634, lr: 0.000030, batch_cost: 1.1923, reader_cost: 0.00017, ips: 1.6774 samples/sec | ETA 26:26:36 2021-08-22 16:53:18 [INFO] [TRAIN] epoch: 216, iter: 80170/160000, loss: 0.0673, lr: 0.000030, batch_cost: 1.1937, reader_cost: 0.00016, ips: 1.6754 samples/sec | ETA 26:28:14 2021-08-22 16:53:30 [INFO] [TRAIN] epoch: 216, iter: 80180/160000, loss: 0.0763, lr: 0.000030, batch_cost: 1.1882, reader_cost: 0.00017, ips: 1.6832 samples/sec | ETA 26:20:42 2021-08-22 16:53:42 [INFO] [TRAIN] epoch: 216, iter: 80190/160000, loss: 0.0695, lr: 0.000030, batch_cost: 1.1970, reader_cost: 0.00017, ips: 1.6708 samples/sec | ETA 26:32:14 2021-08-22 16:53:54 [INFO] [TRAIN] epoch: 216, iter: 80200/160000, loss: 0.0692, lr: 0.000030, batch_cost: 1.2008, reader_cost: 0.00017, ips: 1.6656 samples/sec | ETA 26:37:00 2021-08-22 16:54:06 [INFO] [TRAIN] epoch: 216, iter: 80210/160000, loss: 0.0655, lr: 0.000030, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6789 samples/sec | ETA 26:24:11 2021-08-22 16:54:18 [INFO] [TRAIN] epoch: 216, iter: 80220/160000, loss: 0.0795, lr: 0.000030, batch_cost: 1.1925, reader_cost: 0.00017, ips: 1.6771 samples/sec | ETA 26:25:37 2021-08-22 16:54:30 [INFO] [TRAIN] epoch: 216, iter: 80230/160000, loss: 0.0723, lr: 0.000030, batch_cost: 1.1922, reader_cost: 0.00016, ips: 1.6776 samples/sec | ETA 26:24:58 2021-08-22 16:54:42 [INFO] [TRAIN] epoch: 216, iter: 80240/160000, loss: 0.0717, lr: 0.000030, batch_cost: 1.1962, reader_cost: 0.00017, ips: 1.6720 samples/sec | ETA 26:30:08 2021-08-22 16:54:54 [INFO] [TRAIN] epoch: 216, iter: 80250/160000, loss: 0.0592, lr: 0.000030, batch_cost: 1.1914, reader_cost: 0.00018, ips: 1.6787 samples/sec | ETA 26:23:32 2021-08-22 16:55:06 [INFO] [TRAIN] epoch: 216, iter: 80260/160000, loss: 0.0643, lr: 0.000030, batch_cost: 1.1920, reader_cost: 0.00018, ips: 1.6778 samples/sec | ETA 26:24:12 2021-08-22 16:55:18 [INFO] [TRAIN] epoch: 216, iter: 80270/160000, loss: 0.0737, lr: 0.000030, batch_cost: 1.1940, reader_cost: 0.00018, ips: 1.6750 samples/sec | ETA 26:26:40 2021-08-22 16:55:30 [INFO] [TRAIN] epoch: 216, iter: 80280/160000, loss: 0.0801, lr: 0.000030, batch_cost: 1.1968, reader_cost: 0.00017, ips: 1.6712 samples/sec | ETA 26:30:05 2021-08-22 16:55:42 [INFO] [TRAIN] epoch: 216, iter: 80290/160000, loss: 0.0416, lr: 0.000030, batch_cost: 1.1887, reader_cost: 0.00017, ips: 1.6825 samples/sec | ETA 26:19:11 2021-08-22 16:55:54 [INFO] [TRAIN] epoch: 216, iter: 80300/160000, loss: 0.0496, lr: 0.000030, batch_cost: 1.1888, reader_cost: 0.00017, ips: 1.6823 samples/sec | ETA 26:19:10 2021-08-22 16:56:05 [INFO] [TRAIN] epoch: 216, iter: 80310/160000, loss: 0.0699, lr: 0.000030, batch_cost: 1.1900, reader_cost: 0.00017, ips: 1.6806 samples/sec | ETA 26:20:32 2021-08-22 16:56:17 [INFO] [TRAIN] epoch: 216, iter: 80320/160000, loss: 0.0599, lr: 0.000030, batch_cost: 1.1906, reader_cost: 0.00016, ips: 1.6799 samples/sec | ETA 26:21:03 2021-08-22 16:56:29 [INFO] [TRAIN] epoch: 216, iter: 80330/160000, loss: 0.0551, lr: 0.000030, batch_cost: 1.1868, reader_cost: 0.00016, ips: 1.6852 samples/sec | ETA 26:15:49 2021-08-22 16:56:41 [INFO] [TRAIN] epoch: 216, iter: 80340/160000, loss: 0.0556, lr: 0.000030, batch_cost: 1.1945, reader_cost: 0.00018, ips: 1.6744 samples/sec | ETA 26:25:50 2021-08-22 16:56:53 [INFO] [TRAIN] epoch: 216, iter: 80350/160000, loss: 0.0523, lr: 0.000030, batch_cost: 1.1667, reader_cost: 0.00013, ips: 1.7142 samples/sec | ETA 25:48:50 2021-08-22 16:57:07 [INFO] [TRAIN] epoch: 217, iter: 80360/160000, loss: 0.0643, lr: 0.000030, batch_cost: 1.4019, reader_cost: 0.16015, ips: 1.4266 samples/sec | ETA 31:00:51 2021-08-22 16:57:19 [INFO] [TRAIN] epoch: 217, iter: 80370/160000, loss: 0.0562, lr: 0.000030, batch_cost: 1.2050, reader_cost: 0.00065, ips: 1.6598 samples/sec | ETA 26:39:11 2021-08-22 16:57:31 [INFO] [TRAIN] epoch: 217, iter: 80380/160000, loss: 0.0631, lr: 0.000030, batch_cost: 1.1903, reader_cost: 0.00017, ips: 1.6803 samples/sec | ETA 26:19:29 2021-08-22 16:57:43 [INFO] [TRAIN] epoch: 217, iter: 80390/160000, loss: 0.0559, lr: 0.000030, batch_cost: 1.1918, reader_cost: 0.00017, ips: 1.6781 samples/sec | ETA 26:21:19 2021-08-22 16:57:55 [INFO] [TRAIN] epoch: 217, iter: 80400/160000, loss: 0.0585, lr: 0.000030, batch_cost: 1.1852, reader_cost: 0.00017, ips: 1.6874 samples/sec | ETA 26:12:24 2021-08-22 16:58:06 [INFO] [TRAIN] epoch: 217, iter: 80410/160000, loss: 0.0634, lr: 0.000030, batch_cost: 1.1861, reader_cost: 0.00017, ips: 1.6861 samples/sec | ETA 26:13:25 2021-08-22 16:58:18 [INFO] [TRAIN] epoch: 217, iter: 80420/160000, loss: 0.0547, lr: 0.000030, batch_cost: 1.1850, reader_cost: 0.00017, ips: 1.6878 samples/sec | ETA 26:11:42 2021-08-22 16:58:30 [INFO] [TRAIN] epoch: 217, iter: 80430/160000, loss: 0.0628, lr: 0.000030, batch_cost: 1.1815, reader_cost: 0.00017, ips: 1.6927 samples/sec | ETA 26:06:53 2021-08-22 16:58:42 [INFO] [TRAIN] epoch: 217, iter: 80440/160000, loss: 0.0518, lr: 0.000030, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6732 samples/sec | ETA 26:24:57 2021-08-22 16:58:54 [INFO] [TRAIN] epoch: 217, iter: 80450/160000, loss: 0.0547, lr: 0.000030, batch_cost: 1.1885, reader_cost: 0.00016, ips: 1.6828 samples/sec | ETA 26:15:44 2021-08-22 16:59:06 [INFO] [TRAIN] epoch: 217, iter: 80460/160000, loss: 0.0505, lr: 0.000030, batch_cost: 1.1977, reader_cost: 0.00017, ips: 1.6698 samples/sec | ETA 26:27:46 2021-08-22 16:59:18 [INFO] [TRAIN] epoch: 217, iter: 80470/160000, loss: 0.0616, lr: 0.000030, batch_cost: 1.1922, reader_cost: 0.00017, ips: 1.6776 samples/sec | ETA 26:20:11 2021-08-22 16:59:30 [INFO] [TRAIN] epoch: 217, iter: 80480/160000, loss: 0.0579, lr: 0.000030, batch_cost: 1.2001, reader_cost: 0.00017, ips: 1.6665 samples/sec | ETA 26:30:35 2021-08-22 16:59:42 [INFO] [TRAIN] epoch: 217, iter: 80490/160000, loss: 0.0679, lr: 0.000030, batch_cost: 1.2011, reader_cost: 0.00017, ips: 1.6651 samples/sec | ETA 26:31:42 2021-08-22 16:59:54 [INFO] [TRAIN] epoch: 217, iter: 80500/160000, loss: 0.0656, lr: 0.000030, batch_cost: 1.2016, reader_cost: 0.00017, ips: 1.6644 samples/sec | ETA 26:32:10 2021-08-22 17:00:06 [INFO] [TRAIN] epoch: 217, iter: 80510/160000, loss: 0.0513, lr: 0.000030, batch_cost: 1.2051, reader_cost: 0.00017, ips: 1.6596 samples/sec | ETA 26:36:32 2021-08-22 17:00:18 [INFO] [TRAIN] epoch: 217, iter: 80520/160000, loss: 0.0583, lr: 0.000030, batch_cost: 1.1888, reader_cost: 0.00017, ips: 1.6823 samples/sec | ETA 26:14:48 2021-08-22 17:00:30 [INFO] [TRAIN] epoch: 217, iter: 80530/160000, loss: 0.0643, lr: 0.000030, batch_cost: 1.1864, reader_cost: 0.00017, ips: 1.6858 samples/sec | ETA 26:11:21 2021-08-22 17:00:42 [INFO] [TRAIN] epoch: 217, iter: 80540/160000, loss: 0.0671, lr: 0.000030, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 26:14:38 2021-08-22 17:00:53 [INFO] [TRAIN] epoch: 217, iter: 80550/160000, loss: 0.0620, lr: 0.000030, batch_cost: 1.1896, reader_cost: 0.00017, ips: 1.6812 samples/sec | ETA 26:15:16 2021-08-22 17:01:06 [INFO] [TRAIN] epoch: 217, iter: 80560/160000, loss: 0.0584, lr: 0.000030, batch_cost: 1.2109, reader_cost: 0.00017, ips: 1.6516 samples/sec | ETA 26:43:17 2021-08-22 17:01:18 [INFO] [TRAIN] epoch: 217, iter: 80570/160000, loss: 0.0555, lr: 0.000030, batch_cost: 1.1988, reader_cost: 0.00017, ips: 1.6683 samples/sec | ETA 26:27:01 2021-08-22 17:01:29 [INFO] [TRAIN] epoch: 217, 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26:28:49 2021-08-22 17:02:41 [INFO] [TRAIN] epoch: 217, iter: 80640/160000, loss: 0.0617, lr: 0.000030, batch_cost: 1.1920, reader_cost: 0.00017, ips: 1.6778 samples/sec | ETA 26:16:40 2021-08-22 17:02:53 [INFO] [TRAIN] epoch: 217, iter: 80650/160000, loss: 0.0772, lr: 0.000030, batch_cost: 1.2108, reader_cost: 0.00017, ips: 1.6519 samples/sec | ETA 26:41:13 2021-08-22 17:03:05 [INFO] [TRAIN] epoch: 217, iter: 80660/160000, loss: 0.0721, lr: 0.000030, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6733 samples/sec | ETA 26:20:32 2021-08-22 17:03:17 [INFO] [TRAIN] epoch: 217, iter: 80670/160000, loss: 0.0614, lr: 0.000030, batch_cost: 1.2029, reader_cost: 0.00018, ips: 1.6626 samples/sec | ETA 26:30:29 2021-08-22 17:03:29 [INFO] [TRAIN] epoch: 217, iter: 80680/160000, loss: 0.0610, lr: 0.000030, batch_cost: 1.1966, reader_cost: 0.00017, ips: 1.6713 samples/sec | ETA 26:21:57 2021-08-22 17:03:41 [INFO] [TRAIN] epoch: 217, iter: 80690/160000, loss: 0.0666, lr: 0.000030, batch_cost: 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26:04:57 2021-08-22 17:06:06 [INFO] [TRAIN] epoch: 218, iter: 80810/160000, loss: 0.0644, lr: 0.000030, batch_cost: 1.2152, reader_cost: 0.00019, ips: 1.6459 samples/sec | ETA 26:43:49 2021-08-22 17:06:19 [INFO] [TRAIN] epoch: 218, iter: 80820/160000, loss: 0.0547, lr: 0.000030, batch_cost: 1.2717, reader_cost: 0.00022, ips: 1.5727 samples/sec | ETA 27:58:11 2021-08-22 17:06:32 [INFO] [TRAIN] epoch: 218, iter: 80830/160000, loss: 0.0551, lr: 0.000030, batch_cost: 1.3250, reader_cost: 0.00022, ips: 1.5094 samples/sec | ETA 29:08:22 2021-08-22 17:06:45 [INFO] [TRAIN] epoch: 218, iter: 80840/160000, loss: 0.0602, lr: 0.000030, batch_cost: 1.2973, reader_cost: 0.00023, ips: 1.5417 samples/sec | ETA 28:31:32 2021-08-22 17:06:58 [INFO] [TRAIN] epoch: 218, iter: 80850/160000, loss: 0.0673, lr: 0.000030, batch_cost: 1.2652, reader_cost: 0.00022, ips: 1.5807 samples/sec | ETA 27:49:03 2021-08-22 17:07:11 [INFO] [TRAIN] epoch: 218, iter: 80860/160000, loss: 0.0520, lr: 0.000030, batch_cost: 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28:36:31 2021-08-22 17:09:49 [INFO] [TRAIN] epoch: 218, iter: 80980/160000, loss: 0.0532, lr: 0.000030, batch_cost: 1.3037, reader_cost: 0.00024, ips: 1.5341 samples/sec | ETA 28:36:58 2021-08-22 17:10:02 [INFO] [TRAIN] epoch: 218, iter: 80990/160000, loss: 0.0736, lr: 0.000030, batch_cost: 1.3210, reader_cost: 0.00023, ips: 1.5140 samples/sec | ETA 28:59:34 2021-08-22 17:10:15 [INFO] [TRAIN] epoch: 218, iter: 81000/160000, loss: 0.0657, lr: 0.000030, batch_cost: 1.3006, reader_cost: 0.00030, ips: 1.5378 samples/sec | ETA 28:32:27 2021-08-22 17:10:28 [INFO] [TRAIN] epoch: 218, iter: 81010/160000, loss: 0.0795, lr: 0.000030, batch_cost: 1.3256, reader_cost: 0.00025, ips: 1.5088 samples/sec | ETA 29:05:09 2021-08-22 17:10:41 [INFO] [TRAIN] epoch: 218, iter: 81020/160000, loss: 0.0598, lr: 0.000030, batch_cost: 1.3280, reader_cost: 0.00029, ips: 1.5060 samples/sec | ETA 29:08:05 2021-08-22 17:10:55 [INFO] [TRAIN] epoch: 218, iter: 81030/160000, loss: 0.0602, lr: 0.000030, batch_cost: 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29:11:26 2021-08-22 17:13:36 [INFO] [TRAIN] epoch: 219, iter: 81150/160000, loss: 0.0603, lr: 0.000030, batch_cost: 1.3321, reader_cost: 0.00024, ips: 1.5014 samples/sec | ETA 29:10:34 2021-08-22 17:13:49 [INFO] [TRAIN] epoch: 219, iter: 81160/160000, loss: 0.0687, lr: 0.000030, batch_cost: 1.3134, reader_cost: 0.00025, ips: 1.5227 samples/sec | ETA 28:45:50 2021-08-22 17:14:02 [INFO] [TRAIN] epoch: 219, iter: 81170/160000, loss: 0.0511, lr: 0.000030, batch_cost: 1.3370, reader_cost: 0.00029, ips: 1.4959 samples/sec | ETA 29:16:35 2021-08-22 17:14:15 [INFO] [TRAIN] epoch: 219, iter: 81180/160000, loss: 0.0642, lr: 0.000030, batch_cost: 1.2888, reader_cost: 0.00026, ips: 1.5519 samples/sec | ETA 28:12:59 2021-08-22 17:14:28 [INFO] [TRAIN] epoch: 219, iter: 81190/160000, loss: 0.0646, lr: 0.000030, batch_cost: 1.3062, reader_cost: 0.00024, ips: 1.5311 samples/sec | ETA 28:35:44 2021-08-22 17:14:41 [INFO] [TRAIN] epoch: 219, iter: 81200/160000, loss: 0.0674, lr: 0.000030, batch_cost: 1.3098, reader_cost: 0.00024, ips: 1.5269 samples/sec | ETA 28:40:13 2021-08-22 17:14:54 [INFO] [TRAIN] epoch: 219, iter: 81210/160000, loss: 0.0681, lr: 0.000030, batch_cost: 1.3148, reader_cost: 0.00032, ips: 1.5211 samples/sec | ETA 28:46:35 2021-08-22 17:15:08 [INFO] [TRAIN] epoch: 219, iter: 81220/160000, loss: 0.0611, lr: 0.000030, batch_cost: 1.3215, reader_cost: 0.00027, ips: 1.5134 samples/sec | ETA 28:55:11 2021-08-22 17:15:21 [INFO] [TRAIN] epoch: 219, iter: 81230/160000, loss: 0.0648, lr: 0.000030, batch_cost: 1.3046, reader_cost: 0.00025, ips: 1.5331 samples/sec | ETA 28:32:39 2021-08-22 17:15:34 [INFO] [TRAIN] epoch: 219, iter: 81240/160000, loss: 0.0575, lr: 0.000030, batch_cost: 1.3159, reader_cost: 0.00026, ips: 1.5198 samples/sec | ETA 28:47:22 2021-08-22 17:15:47 [INFO] [TRAIN] epoch: 219, iter: 81250/160000, loss: 0.0562, lr: 0.000030, batch_cost: 1.2940, reader_cost: 0.00023, ips: 1.5457 samples/sec | ETA 28:18:18 2021-08-22 17:16:00 [INFO] [TRAIN] epoch: 219, 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28:22:52 2021-08-22 17:17:19 [INFO] [TRAIN] epoch: 219, iter: 81320/160000, loss: 0.0548, lr: 0.000030, batch_cost: 1.3196, reader_cost: 0.00085, ips: 1.5156 samples/sec | ETA 28:50:26 2021-08-22 17:17:32 [INFO] [TRAIN] epoch: 219, iter: 81330/160000, loss: 0.0444, lr: 0.000030, batch_cost: 1.3353, reader_cost: 0.00076, ips: 1.4978 samples/sec | ETA 29:10:46 2021-08-22 17:17:45 [INFO] [TRAIN] epoch: 219, iter: 81340/160000, loss: 0.0562, lr: 0.000029, batch_cost: 1.3092, reader_cost: 0.00026, ips: 1.5276 samples/sec | ETA 28:36:25 2021-08-22 17:17:59 [INFO] [TRAIN] epoch: 219, iter: 81350/160000, loss: 0.0560, lr: 0.000029, batch_cost: 1.3148, reader_cost: 0.00025, ips: 1.5211 samples/sec | ETA 28:43:28 2021-08-22 17:18:12 [INFO] [TRAIN] epoch: 219, iter: 81360/160000, loss: 0.0630, lr: 0.000029, batch_cost: 1.3268, reader_cost: 0.00024, ips: 1.5073 samples/sec | ETA 28:59:02 2021-08-22 17:18:25 [INFO] [TRAIN] epoch: 219, iter: 81370/160000, loss: 0.0585, lr: 0.000029, batch_cost: 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27:21:55 2021-08-22 17:24:45 [INFO] [TRAIN] epoch: 220, iter: 81660/160000, loss: 0.0584, lr: 0.000029, batch_cost: 1.2664, reader_cost: 0.00024, ips: 1.5793 samples/sec | ETA 27:33:30 2021-08-22 17:24:58 [INFO] [TRAIN] epoch: 220, iter: 81670/160000, loss: 0.0579, lr: 0.000029, batch_cost: 1.3023, reader_cost: 0.00025, ips: 1.5357 samples/sec | ETA 28:20:12 2021-08-22 17:25:11 [INFO] [TRAIN] epoch: 220, iter: 81680/160000, loss: 0.0548, lr: 0.000029, batch_cost: 1.3109, reader_cost: 0.00023, ips: 1.5257 samples/sec | ETA 28:31:06 2021-08-22 17:25:24 [INFO] [TRAIN] epoch: 220, iter: 81690/160000, loss: 0.0656, lr: 0.000029, batch_cost: 1.3154, reader_cost: 0.00026, ips: 1.5204 samples/sec | ETA 28:36:51 2021-08-22 17:25:37 [INFO] [TRAIN] epoch: 220, iter: 81700/160000, loss: 0.0494, lr: 0.000029, batch_cost: 1.3061, reader_cost: 0.00026, ips: 1.5312 samples/sec | ETA 28:24:29 2021-08-22 17:25:51 [INFO] [TRAIN] epoch: 220, iter: 81710/160000, loss: 0.0713, lr: 0.000029, batch_cost: 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28:29:42 2021-08-22 17:28:29 [INFO] [TRAIN] epoch: 220, iter: 81830/160000, loss: 0.0663, lr: 0.000029, batch_cost: 1.3323, reader_cost: 0.00034, ips: 1.5011 samples/sec | ETA 28:55:48 2021-08-22 17:28:42 [INFO] [TRAIN] epoch: 220, iter: 81840/160000, loss: 0.0569, lr: 0.000029, batch_cost: 1.2605, reader_cost: 0.00018, ips: 1.5867 samples/sec | ETA 27:21:59 2021-08-22 17:28:59 [INFO] [TRAIN] epoch: 221, iter: 81850/160000, loss: 0.0581, lr: 0.000029, batch_cost: 1.7211, reader_cost: 0.28981, ips: 1.1620 samples/sec | ETA 37:21:45 2021-08-22 17:29:12 [INFO] [TRAIN] epoch: 221, iter: 81860/160000, loss: 0.0638, lr: 0.000029, batch_cost: 1.2975, reader_cost: 0.00183, ips: 1.5414 samples/sec | ETA 28:09:45 2021-08-22 17:29:25 [INFO] [TRAIN] epoch: 221, iter: 81870/160000, loss: 0.0668, lr: 0.000029, batch_cost: 1.3061, reader_cost: 0.00023, ips: 1.5313 samples/sec | ETA 28:20:41 2021-08-22 17:29:38 [INFO] [TRAIN] epoch: 221, iter: 81880/160000, loss: 0.0528, lr: 0.000029, batch_cost: 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28:31:37 2021-08-22 17:32:16 [INFO] [TRAIN] epoch: 221, iter: 82000/160000, loss: 0.0690, lr: 0.000029, batch_cost: 1.3117, reader_cost: 0.00024, ips: 1.5247 samples/sec | ETA 28:25:14 2021-08-22 17:32:29 [INFO] [TRAIN] epoch: 221, iter: 82010/160000, loss: 0.0522, lr: 0.000029, batch_cost: 1.3235, reader_cost: 0.00025, ips: 1.5111 samples/sec | ETA 28:40:23 2021-08-22 17:32:42 [INFO] [TRAIN] epoch: 221, iter: 82020/160000, loss: 0.0692, lr: 0.000029, batch_cost: 1.3145, reader_cost: 0.00025, ips: 1.5215 samples/sec | ETA 28:28:24 2021-08-22 17:32:55 [INFO] [TRAIN] epoch: 221, iter: 82030/160000, loss: 0.0535, lr: 0.000029, batch_cost: 1.2976, reader_cost: 0.00025, ips: 1.5413 samples/sec | ETA 28:06:11 2021-08-22 17:33:08 [INFO] [TRAIN] epoch: 221, iter: 82040/160000, loss: 0.0564, lr: 0.000029, batch_cost: 1.3068, reader_cost: 0.00025, ips: 1.5305 samples/sec | ETA 28:17:56 2021-08-22 17:33:21 [INFO] [TRAIN] epoch: 221, iter: 82050/160000, loss: 0.0558, lr: 0.000029, batch_cost: 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iter: 82280/160000, loss: 0.0596, lr: 0.000029, batch_cost: 1.3109, reader_cost: 0.00026, ips: 1.5257 samples/sec | ETA 28:18:00 2021-08-22 17:38:40 [INFO] [TRAIN] epoch: 222, iter: 82290/160000, loss: 0.0654, lr: 0.000029, batch_cost: 1.3281, reader_cost: 0.00027, ips: 1.5059 samples/sec | ETA 28:40:08 2021-08-22 17:38:53 [INFO] [TRAIN] epoch: 222, iter: 82300/160000, loss: 0.0554, lr: 0.000029, batch_cost: 1.3095, reader_cost: 0.00233, ips: 1.5273 samples/sec | ETA 28:15:46 2021-08-22 17:39:07 [INFO] [TRAIN] epoch: 222, iter: 82310/160000, loss: 0.0654, lr: 0.000029, batch_cost: 1.3137, reader_cost: 0.00026, ips: 1.5224 samples/sec | ETA 28:21:01 2021-08-22 17:39:20 [INFO] [TRAIN] epoch: 222, iter: 82320/160000, loss: 0.0524, lr: 0.000029, batch_cost: 1.3179, reader_cost: 0.00026, ips: 1.5176 samples/sec | ETA 28:26:14 2021-08-22 17:39:33 [INFO] [TRAIN] epoch: 222, iter: 82330/160000, loss: 0.0598, lr: 0.000029, batch_cost: 1.3153, reader_cost: 0.00024, ips: 1.5206 samples/sec | ETA 28:22:38 2021-08-22 17:39:46 [INFO] [TRAIN] epoch: 222, iter: 82340/160000, loss: 0.0614, lr: 0.000029, batch_cost: 1.3157, reader_cost: 0.00024, ips: 1.5201 samples/sec | ETA 28:23:00 2021-08-22 17:39:59 [INFO] [TRAIN] epoch: 222, iter: 82350/160000, loss: 0.0617, lr: 0.000029, batch_cost: 1.2529, reader_cost: 0.00022, ips: 1.5963 samples/sec | ETA 27:01:28 2021-08-22 17:40:11 [INFO] [TRAIN] epoch: 222, iter: 82360/160000, loss: 0.0620, lr: 0.000029, batch_cost: 1.2613, reader_cost: 0.00024, ips: 1.5857 samples/sec | ETA 27:12:03 2021-08-22 17:40:24 [INFO] [TRAIN] epoch: 222, iter: 82370/160000, loss: 0.0578, lr: 0.000029, batch_cost: 1.2545, reader_cost: 0.00021, ips: 1.5942 samples/sec | ETA 27:03:08 2021-08-22 17:40:36 [INFO] [TRAIN] epoch: 222, iter: 82380/160000, loss: 0.0631, lr: 0.000029, batch_cost: 1.2513, reader_cost: 0.00021, ips: 1.5983 samples/sec | ETA 26:58:47 2021-08-22 17:40:49 [INFO] [TRAIN] epoch: 222, iter: 82390/160000, loss: 0.0802, lr: 0.000029, batch_cost: 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28:38:39 2021-08-22 17:43:23 [INFO] [TRAIN] epoch: 222, iter: 82510/160000, loss: 0.0568, lr: 0.000029, batch_cost: 1.2993, reader_cost: 0.00024, ips: 1.5393 samples/sec | ETA 27:57:59 2021-08-22 17:43:37 [INFO] [TRAIN] epoch: 222, iter: 82520/160000, loss: 0.0635, lr: 0.000029, batch_cost: 1.3144, reader_cost: 0.00024, ips: 1.5216 samples/sec | ETA 28:17:21 2021-08-22 17:43:50 [INFO] [TRAIN] epoch: 222, iter: 82530/160000, loss: 0.0639, lr: 0.000029, batch_cost: 1.3228, reader_cost: 0.00025, ips: 1.5119 samples/sec | ETA 28:27:57 2021-08-22 17:44:03 [INFO] [TRAIN] epoch: 222, iter: 82540/160000, loss: 0.0707, lr: 0.000029, batch_cost: 1.3224, reader_cost: 0.00026, ips: 1.5124 samples/sec | ETA 28:27:13 2021-08-22 17:44:16 [INFO] [TRAIN] epoch: 222, iter: 82550/160000, loss: 0.0661, lr: 0.000029, batch_cost: 1.3042, reader_cost: 0.00025, ips: 1.5336 samples/sec | ETA 28:03:26 2021-08-22 17:44:29 [INFO] [TRAIN] epoch: 222, iter: 82560/160000, loss: 0.0624, lr: 0.000029, batch_cost: 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27:57:08 2021-08-22 17:47:10 [INFO] [TRAIN] epoch: 223, iter: 82680/160000, loss: 0.0589, lr: 0.000029, batch_cost: 1.3169, reader_cost: 0.00026, ips: 1.5187 samples/sec | ETA 28:17:01 2021-08-22 17:47:23 [INFO] [TRAIN] epoch: 223, iter: 82690/160000, loss: 0.0681, lr: 0.000029, batch_cost: 1.3313, reader_cost: 0.00026, ips: 1.5023 samples/sec | ETA 28:35:23 2021-08-22 17:47:36 [INFO] [TRAIN] epoch: 223, iter: 82700/160000, loss: 0.0647, lr: 0.000029, batch_cost: 1.3272, reader_cost: 0.00027, ips: 1.5070 samples/sec | ETA 28:29:49 2021-08-22 17:47:49 [INFO] [TRAIN] epoch: 223, iter: 82710/160000, loss: 0.0569, lr: 0.000029, batch_cost: 1.2881, reader_cost: 0.00111, ips: 1.5527 samples/sec | ETA 27:39:15 2021-08-22 17:48:02 [INFO] [TRAIN] epoch: 223, iter: 82720/160000, loss: 0.0634, lr: 0.000029, batch_cost: 1.3169, reader_cost: 0.00138, ips: 1.5187 samples/sec | ETA 28:16:10 2021-08-22 17:48:16 [INFO] [TRAIN] epoch: 223, iter: 82730/160000, loss: 0.0510, lr: 0.000029, batch_cost: 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26:53:08 2021-08-22 17:58:20 [INFO] [TRAIN] epoch: 224, iter: 83190/160000, loss: 0.0542, lr: 0.000029, batch_cost: 1.2575, reader_cost: 0.00023, ips: 1.5905 samples/sec | ETA 26:49:46 2021-08-22 17:58:33 [INFO] [TRAIN] epoch: 224, iter: 83200/160000, loss: 0.0610, lr: 0.000029, batch_cost: 1.2763, reader_cost: 0.00022, ips: 1.5670 samples/sec | ETA 27:13:43 2021-08-22 17:58:46 [INFO] [TRAIN] epoch: 224, iter: 83210/160000, loss: 0.0611, lr: 0.000029, batch_cost: 1.2643, reader_cost: 0.00023, ips: 1.5819 samples/sec | ETA 26:58:06 2021-08-22 17:58:58 [INFO] [TRAIN] epoch: 224, iter: 83220/160000, loss: 0.0706, lr: 0.000029, batch_cost: 1.2572, reader_cost: 0.00025, ips: 1.5908 samples/sec | ETA 26:48:51 2021-08-22 17:59:11 [INFO] [TRAIN] epoch: 224, iter: 83230/160000, loss: 0.0617, lr: 0.000029, batch_cost: 1.2582, reader_cost: 0.00022, ips: 1.5896 samples/sec | ETA 26:49:49 2021-08-22 17:59:24 [INFO] [TRAIN] epoch: 224, iter: 83240/160000, loss: 0.0624, lr: 0.000029, batch_cost: 1.2713, reader_cost: 0.00023, ips: 1.5732 samples/sec | ETA 27:06:24 2021-08-22 17:59:36 [INFO] [TRAIN] epoch: 224, iter: 83250/160000, loss: 0.0619, lr: 0.000029, batch_cost: 1.2772, reader_cost: 0.00023, ips: 1.5659 samples/sec | ETA 27:13:47 2021-08-22 17:59:50 [INFO] [TRAIN] epoch: 224, iter: 83260/160000, loss: 0.0610, lr: 0.000029, batch_cost: 1.3407, reader_cost: 0.00025, ips: 1.4917 samples/sec | ETA 28:34:48 2021-08-22 18:00:03 [INFO] [TRAIN] epoch: 224, iter: 83270/160000, loss: 0.0636, lr: 0.000029, batch_cost: 1.3243, reader_cost: 0.00027, ips: 1.5103 samples/sec | ETA 28:13:31 2021-08-22 18:00:16 [INFO] [TRAIN] epoch: 224, iter: 83280/160000, loss: 0.0550, lr: 0.000029, batch_cost: 1.3408, reader_cost: 0.00026, ips: 1.4916 samples/sec | ETA 28:34:28 2021-08-22 18:00:29 [INFO] [TRAIN] epoch: 224, iter: 83290/160000, loss: 0.0667, lr: 0.000029, batch_cost: 1.2846, reader_cost: 0.00023, ips: 1.5569 samples/sec | ETA 27:22:24 2021-08-22 18:00:42 [INFO] [TRAIN] epoch: 224, iter: 83300/160000, loss: 0.0659, lr: 0.000029, batch_cost: 1.3095, reader_cost: 0.00025, ips: 1.5273 samples/sec | ETA 27:54:01 2021-08-22 18:00:56 [INFO] [TRAIN] epoch: 224, iter: 83310/160000, loss: 0.0820, lr: 0.000029, batch_cost: 1.3090, reader_cost: 0.00024, ips: 1.5279 samples/sec | ETA 27:53:07 2021-08-22 18:01:09 [INFO] [TRAIN] epoch: 224, iter: 83320/160000, loss: 0.0744, lr: 0.000029, batch_cost: 1.2995, reader_cost: 0.00021, ips: 1.5390 samples/sec | ETA 27:40:46 2021-08-22 18:01:25 [INFO] [TRAIN] epoch: 225, iter: 83330/160000, loss: 0.0524, lr: 0.000029, batch_cost: 1.6346, reader_cost: 0.31271, ips: 1.2236 samples/sec | ETA 34:48:43 2021-08-22 18:01:38 [INFO] [TRAIN] epoch: 225, iter: 83340/160000, loss: 0.0669, lr: 0.000029, batch_cost: 1.3196, reader_cost: 0.00026, ips: 1.5157 samples/sec | ETA 28:05:57 2021-08-22 18:01:51 [INFO] [TRAIN] epoch: 225, iter: 83350/160000, loss: 0.0554, lr: 0.000029, batch_cost: 1.3342, reader_cost: 0.00298, ips: 1.4991 samples/sec | ETA 28:24:23 2021-08-22 18:02:05 [INFO] [TRAIN] epoch: 225, iter: 83360/160000, loss: 0.0549, lr: 0.000029, batch_cost: 1.3155, reader_cost: 0.00026, ips: 1.5204 samples/sec | ETA 28:00:18 2021-08-22 18:02:18 [INFO] [TRAIN] epoch: 225, iter: 83370/160000, loss: 0.0596, lr: 0.000029, batch_cost: 1.3151, reader_cost: 0.00024, ips: 1.5208 samples/sec | ETA 27:59:39 2021-08-22 18:02:31 [INFO] [TRAIN] epoch: 225, iter: 83380/160000, loss: 0.0572, lr: 0.000029, batch_cost: 1.3323, reader_cost: 0.00159, ips: 1.5012 samples/sec | ETA 28:21:18 2021-08-22 18:02:44 [INFO] [TRAIN] epoch: 225, iter: 83390/160000, loss: 0.0487, lr: 0.000029, batch_cost: 1.3024, reader_cost: 0.00024, ips: 1.5356 samples/sec | ETA 27:42:55 2021-08-22 18:02:57 [INFO] [TRAIN] epoch: 225, iter: 83400/160000, loss: 0.0531, lr: 0.000029, batch_cost: 1.3146, reader_cost: 0.00028, ips: 1.5214 samples/sec | ETA 27:58:17 2021-08-22 18:03:10 [INFO] [TRAIN] epoch: 225, iter: 83410/160000, loss: 0.0678, lr: 0.000029, batch_cost: 1.3017, reader_cost: 0.00026, ips: 1.5364 samples/sec | ETA 27:41:39 2021-08-22 18:03:23 [INFO] [TRAIN] epoch: 225, iter: 83420/160000, loss: 0.0563, lr: 0.000029, batch_cost: 1.2982, reader_cost: 0.00055, ips: 1.5406 samples/sec | ETA 27:36:53 2021-08-22 18:03:36 [INFO] [TRAIN] epoch: 225, iter: 83430/160000, loss: 0.0659, lr: 0.000029, batch_cost: 1.3143, reader_cost: 0.00024, ips: 1.5217 samples/sec | ETA 27:57:14 2021-08-22 18:03:49 [INFO] [TRAIN] epoch: 225, iter: 83440/160000, loss: 0.0496, lr: 0.000029, batch_cost: 1.2963, reader_cost: 0.00022, ips: 1.5429 samples/sec | ETA 27:34:04 2021-08-22 18:04:02 [INFO] [TRAIN] epoch: 225, iter: 83450/160000, loss: 0.0617, lr: 0.000029, batch_cost: 1.3121, reader_cost: 0.00031, ips: 1.5243 samples/sec | ETA 27:53:58 2021-08-22 18:04:15 [INFO] [TRAIN] epoch: 225, iter: 83460/160000, loss: 0.0671, lr: 0.000029, batch_cost: 1.2942, reader_cost: 0.00024, ips: 1.5453 samples/sec | ETA 27:30:59 2021-08-22 18:04:28 [INFO] [TRAIN] epoch: 225, iter: 83470/160000, loss: 0.0693, lr: 0.000029, batch_cost: 1.3034, reader_cost: 0.00026, ips: 1.5344 samples/sec | ETA 27:42:32 2021-08-22 18:04:42 [INFO] [TRAIN] epoch: 225, iter: 83480/160000, loss: 0.0600, lr: 0.000029, batch_cost: 1.3408, reader_cost: 0.00025, ips: 1.4916 samples/sec | ETA 28:29:58 2021-08-22 18:04:55 [INFO] [TRAIN] epoch: 225, iter: 83490/160000, loss: 0.0560, lr: 0.000029, batch_cost: 1.3156, reader_cost: 0.00027, ips: 1.5203 samples/sec | ETA 27:57:34 2021-08-22 18:05:08 [INFO] [TRAIN] epoch: 225, iter: 83500/160000, loss: 0.0705, lr: 0.000029, batch_cost: 1.3190, reader_cost: 0.00024, ips: 1.5163 samples/sec | ETA 28:01:41 2021-08-22 18:05:21 [INFO] [TRAIN] epoch: 225, iter: 83510/160000, loss: 0.0571, lr: 0.000029, batch_cost: 1.3108, reader_cost: 0.00026, ips: 1.5258 samples/sec | ETA 27:51:02 2021-08-22 18:05:35 [INFO] [TRAIN] epoch: 225, iter: 83520/160000, loss: 0.0551, lr: 0.000029, batch_cost: 1.3275, reader_cost: 0.00046, ips: 1.5066 samples/sec | ETA 28:12:05 2021-08-22 18:05:48 [INFO] [TRAIN] epoch: 225, iter: 83530/160000, loss: 0.0629, lr: 0.000029, batch_cost: 1.3330, reader_cost: 0.00024, ips: 1.5004 samples/sec | ETA 28:18:53 2021-08-22 18:06:01 [INFO] [TRAIN] epoch: 225, iter: 83540/160000, loss: 0.0653, lr: 0.000029, batch_cost: 1.3118, reader_cost: 0.00025, ips: 1.5247 samples/sec | ETA 27:51:37 2021-08-22 18:06:14 [INFO] [TRAIN] epoch: 225, iter: 83550/160000, loss: 0.0592, lr: 0.000029, batch_cost: 1.3061, reader_cost: 0.00027, ips: 1.5313 samples/sec | ETA 27:44:12 2021-08-22 18:06:27 [INFO] [TRAIN] epoch: 225, iter: 83560/160000, loss: 0.0539, lr: 0.000029, batch_cost: 1.2921, reader_cost: 0.00026, ips: 1.5478 samples/sec | ETA 27:26:11 2021-08-22 18:06:40 [INFO] [TRAIN] epoch: 225, iter: 83570/160000, loss: 0.0560, lr: 0.000029, batch_cost: 1.3183, reader_cost: 0.00026, ips: 1.5171 samples/sec | ETA 27:59:15 2021-08-22 18:06:53 [INFO] [TRAIN] epoch: 225, iter: 83580/160000, loss: 0.0511, lr: 0.000029, batch_cost: 1.3168, reader_cost: 0.00023, ips: 1.5189 samples/sec | ETA 27:57:08 2021-08-22 18:07:06 [INFO] [TRAIN] epoch: 225, iter: 83590/160000, loss: 0.0473, lr: 0.000029, batch_cost: 1.3100, reader_cost: 0.00026, ips: 1.5267 samples/sec | ETA 27:48:17 2021-08-22 18:07:20 [INFO] [TRAIN] epoch: 225, iter: 83600/160000, loss: 0.0619, lr: 0.000029, batch_cost: 1.3279, reader_cost: 0.00025, ips: 1.5062 samples/sec | ETA 28:10:48 2021-08-22 18:07:33 [INFO] [TRAIN] epoch: 225, iter: 83610/160000, loss: 0.0623, lr: 0.000029, batch_cost: 1.3068, reader_cost: 0.00064, ips: 1.5305 samples/sec | ETA 27:43:44 2021-08-22 18:07:46 [INFO] [TRAIN] epoch: 225, iter: 83620/160000, loss: 0.0503, lr: 0.000029, batch_cost: 1.3043, reader_cost: 0.00025, ips: 1.5334 samples/sec | ETA 27:40:22 2021-08-22 18:07:59 [INFO] [TRAIN] epoch: 225, iter: 83630/160000, loss: 0.0691, lr: 0.000029, batch_cost: 1.3305, reader_cost: 0.00156, ips: 1.5032 samples/sec | ETA 28:13:27 2021-08-22 18:08:12 [INFO] [TRAIN] epoch: 225, iter: 83640/160000, loss: 0.0609, lr: 0.000029, batch_cost: 1.3261, reader_cost: 0.00045, ips: 1.5082 samples/sec | ETA 28:07:39 2021-08-22 18:08:26 [INFO] [TRAIN] epoch: 225, iter: 83650/160000, loss: 0.0565, lr: 0.000029, batch_cost: 1.3101, reader_cost: 0.00026, ips: 1.5266 samples/sec | ETA 27:47:04 2021-08-22 18:08:39 [INFO] [TRAIN] epoch: 225, iter: 83660/160000, loss: 0.0577, lr: 0.000029, batch_cost: 1.3230, reader_cost: 0.00157, ips: 1.5117 samples/sec | ETA 28:03:18 2021-08-22 18:08:52 [INFO] [TRAIN] epoch: 225, iter: 83670/160000, loss: 0.0625, lr: 0.000029, batch_cost: 1.3140, reader_cost: 0.00026, ips: 1.5220 samples/sec | ETA 27:51:39 2021-08-22 18:09:05 [INFO] [TRAIN] epoch: 225, iter: 83680/160000, loss: 0.0636, lr: 0.000029, batch_cost: 1.3450, reader_cost: 0.00112, ips: 1.4870 samples/sec | ETA 28:30:48 2021-08-22 18:09:18 [INFO] [TRAIN] epoch: 225, iter: 83690/160000, loss: 0.0561, lr: 0.000029, batch_cost: 1.3034, reader_cost: 0.00169, ips: 1.5344 samples/sec | ETA 27:37:46 2021-08-22 18:09:31 [INFO] [TRAIN] epoch: 225, iter: 83700/160000, loss: 0.0588, lr: 0.000029, batch_cost: 1.2624, reader_cost: 0.00038, ips: 1.5843 samples/sec | ETA 26:45:18 2021-08-22 18:09:48 [INFO] [TRAIN] epoch: 226, iter: 83710/160000, loss: 0.0614, lr: 0.000029, batch_cost: 1.7141, reader_cost: 0.29884, ips: 1.1668 samples/sec | ETA 36:19:25 2021-08-22 18:10:01 [INFO] [TRAIN] epoch: 226, iter: 83720/160000, loss: 0.0660, lr: 0.000029, batch_cost: 1.3061, reader_cost: 0.00024, ips: 1.5313 samples/sec | ETA 27:40:28 2021-08-22 18:10:14 [INFO] [TRAIN] epoch: 226, iter: 83730/160000, loss: 0.0544, lr: 0.000029, batch_cost: 1.2932, reader_cost: 0.00024, ips: 1.5465 samples/sec | ETA 27:23:54 2021-08-22 18:10:27 [INFO] [TRAIN] epoch: 226, iter: 83740/160000, loss: 0.0679, lr: 0.000029, batch_cost: 1.3236, reader_cost: 0.00028, ips: 1.5111 samples/sec | ETA 28:02:14 2021-08-22 18:10:41 [INFO] [TRAIN] epoch: 226, iter: 83750/160000, loss: 0.0596, lr: 0.000029, batch_cost: 1.3276, reader_cost: 0.00025, ips: 1.5064 samples/sec | ETA 28:07:11 2021-08-22 18:10:54 [INFO] [TRAIN] epoch: 226, iter: 83760/160000, loss: 0.0492, lr: 0.000029, batch_cost: 1.3243, reader_cost: 0.00025, ips: 1.5103 samples/sec | ETA 28:02:42 2021-08-22 18:11:07 [INFO] [TRAIN] epoch: 226, iter: 83770/160000, loss: 0.0649, lr: 0.000029, batch_cost: 1.2907, reader_cost: 0.00026, ips: 1.5496 samples/sec | ETA 27:19:47 2021-08-22 18:11:20 [INFO] [TRAIN] epoch: 226, iter: 83780/160000, loss: 0.0567, lr: 0.000029, batch_cost: 1.3183, reader_cost: 0.00081, ips: 1.5171 samples/sec | ETA 27:54:37 2021-08-22 18:11:33 [INFO] [TRAIN] epoch: 226, iter: 83790/160000, loss: 0.0552, lr: 0.000029, batch_cost: 1.3332, reader_cost: 0.00026, ips: 1.5001 samples/sec | ETA 28:13:23 2021-08-22 18:11:47 [INFO] [TRAIN] epoch: 226, iter: 83800/160000, loss: 0.0557, lr: 0.000029, batch_cost: 1.3312, reader_cost: 0.00026, ips: 1.5024 samples/sec | ETA 28:10:34 2021-08-22 18:12:00 [INFO] [TRAIN] epoch: 226, iter: 83810/160000, loss: 0.0479, lr: 0.000029, batch_cost: 1.3260, reader_cost: 0.00067, ips: 1.5083 samples/sec | ETA 28:03:48 2021-08-22 18:12:13 [INFO] [TRAIN] epoch: 226, iter: 83820/160000, loss: 0.0649, lr: 0.000029, batch_cost: 1.3194, reader_cost: 0.00025, ips: 1.5159 samples/sec | ETA 27:55:09 2021-08-22 18:12:26 [INFO] [TRAIN] epoch: 226, iter: 83830/160000, loss: 0.0574, lr: 0.000029, batch_cost: 1.3372, reader_cost: 0.00025, ips: 1.4956 samples/sec | ETA 28:17:37 2021-08-22 18:12:40 [INFO] [TRAIN] epoch: 226, iter: 83840/160000, loss: 0.0751, lr: 0.000029, batch_cost: 1.3166, reader_cost: 0.00024, ips: 1.5191 samples/sec | ETA 27:51:09 2021-08-22 18:12:53 [INFO] [TRAIN] epoch: 226, iter: 83850/160000, loss: 0.0741, lr: 0.000029, batch_cost: 1.3179, reader_cost: 0.00023, ips: 1.5176 samples/sec | ETA 27:52:35 2021-08-22 18:13:06 [INFO] [TRAIN] epoch: 226, iter: 83860/160000, loss: 0.0480, lr: 0.000029, batch_cost: 1.3021, reader_cost: 0.00027, ips: 1.5360 samples/sec | ETA 27:32:22 2021-08-22 18:13:19 [INFO] [TRAIN] epoch: 226, iter: 83870/160000, loss: 0.0619, lr: 0.000029, batch_cost: 1.2973, reader_cost: 0.00024, ips: 1.5416 samples/sec | ETA 27:26:06 2021-08-22 18:13:32 [INFO] [TRAIN] epoch: 226, iter: 83880/160000, loss: 0.0676, lr: 0.000029, batch_cost: 1.3031, reader_cost: 0.00025, ips: 1.5348 samples/sec | ETA 27:33:12 2021-08-22 18:13:45 [INFO] [TRAIN] epoch: 226, iter: 83890/160000, loss: 0.0533, lr: 0.000029, batch_cost: 1.3240, reader_cost: 0.00025, ips: 1.5106 samples/sec | ETA 27:59:26 2021-08-22 18:13:58 [INFO] [TRAIN] epoch: 226, iter: 83900/160000, loss: 0.0793, lr: 0.000029, batch_cost: 1.3242, reader_cost: 0.00096, ips: 1.5103 samples/sec | ETA 27:59:31 2021-08-22 18:14:11 [INFO] [TRAIN] epoch: 226, iter: 83910/160000, loss: 0.0617, lr: 0.000029, batch_cost: 1.3181, reader_cost: 0.00021, ips: 1.5173 samples/sec | ETA 27:51:33 2021-08-22 18:14:25 [INFO] [TRAIN] epoch: 226, iter: 83920/160000, loss: 0.0637, lr: 0.000029, batch_cost: 1.3045, reader_cost: 0.00024, ips: 1.5332 samples/sec | ETA 27:34:04 2021-08-22 18:14:38 [INFO] [TRAIN] epoch: 226, iter: 83930/160000, loss: 0.0564, lr: 0.000029, batch_cost: 1.3021, reader_cost: 0.00026, ips: 1.5360 samples/sec | ETA 27:30:48 2021-08-22 18:14:50 [INFO] [TRAIN] epoch: 226, iter: 83940/160000, loss: 0.0788, lr: 0.000029, batch_cost: 1.2801, reader_cost: 0.00023, ips: 1.5624 samples/sec | ETA 27:02:43 2021-08-22 18:15:03 [INFO] [TRAIN] epoch: 226, iter: 83950/160000, loss: 0.0619, lr: 0.000029, batch_cost: 1.2369, reader_cost: 0.00022, ips: 1.6169 samples/sec | ETA 26:07:46 2021-08-22 18:15:15 [INFO] [TRAIN] epoch: 226, iter: 83960/160000, loss: 0.0569, lr: 0.000029, batch_cost: 1.2321, reader_cost: 0.00020, ips: 1.6232 samples/sec | ETA 26:01:32 2021-08-22 18:15:27 [INFO] [TRAIN] epoch: 226, iter: 83970/160000, loss: 0.0546, lr: 0.000029, batch_cost: 1.2383, reader_cost: 0.00021, ips: 1.6151 samples/sec | ETA 26:09:06 2021-08-22 18:15:40 [INFO] [TRAIN] epoch: 226, iter: 83980/160000, loss: 0.0625, lr: 0.000029, batch_cost: 1.2713, reader_cost: 0.00024, ips: 1.5732 samples/sec | ETA 26:50:41 2021-08-22 18:15:53 [INFO] [TRAIN] epoch: 226, iter: 83990/160000, loss: 0.0555, lr: 0.000029, batch_cost: 1.2676, reader_cost: 0.00019, ips: 1.5777 samples/sec | ETA 26:45:53 2021-08-22 18:16:05 [INFO] [TRAIN] epoch: 226, iter: 84000/160000, loss: 0.0588, lr: 0.000029, batch_cost: 1.2668, reader_cost: 0.00023, ips: 1.5787 samples/sec | ETA 26:44:39 2021-08-22 18:16:05 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:29 - batch_cost: 3.6275 - reader cost: 0.4264 2/125 [..............................] - ETA: 5:59 - batch_cost: 2.9243 - reader cost: 0.2133 3/125 [..............................] - ETA: 5:27 - batch_cost: 2.6810 - reader cost: 0.1423 4/125 [..............................] - ETA: 5:05 - batch_cost: 2.5239 - reader cost: 0.1068 5/125 [>.............................] - ETA: 4:55 - batch_cost: 2.4619 - reader cost: 0.0854 6/125 [>.............................] - ETA: 4:44 - batch_cost: 2.3911 - reader cost: 0.0712 7/125 [>.............................] - ETA: 4:36 - batch_cost: 2.3427 - reader cost: 0.0611 8/125 [>.............................] - ETA: 4:33 - batch_cost: 2.3406 - reader cost: 0.0535 9/125 [=>............................] - ETA: 4:27 - batch_cost: 2.3082 - reader cost: 0.0476 10/125 [=>............................] - ETA: 4:23 - batch_cost: 2.2910 - reader cost: 0.0428 11/125 [=>............................] - ETA: 4:21 - batch_cost: 2.2964 - reader cost: 0.0390 12/125 [=>............................] - ETA: 4:18 - batch_cost: 2.2897 - reader cost: 0.0357 13/125 [==>...........................] - ETA: 4:15 - batch_cost: 2.2820 - reader cost: 0.0330 14/125 [==>...........................] - ETA: 4:13 - batch_cost: 2.2797 - reader cost: 0.0307 15/125 [==>...........................] - ETA: 4:08 - batch_cost: 2.2607 - reader cost: 0.0286 16/125 [==>...........................] - ETA: 4:05 - batch_cost: 2.2517 - reader cost: 0.0269 17/125 [===>..........................] - ETA: 4:01 - batch_cost: 2.2375 - reader cost: 0.0253 18/125 [===>..........................] - ETA: 3:59 - batch_cost: 2.2400 - reader cost: 0.0239 19/125 [===>..........................] - ETA: 3:56 - batch_cost: 2.2352 - reader cost: 0.0226 20/125 [===>..........................] - ETA: 3:53 - batch_cost: 2.2260 - reader cost: 0.0215 21/125 [====>.........................] - ETA: 3:50 - batch_cost: 2.2205 - reader cost: 0.0205 22/125 [====>.........................] - ETA: 3:48 - batch_cost: 2.2204 - reader cost: 0.0196 23/125 [====>.........................] - ETA: 3:45 - batch_cost: 2.2115 - reader cost: 0.0187 24/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.2117 - reader cost: 0.0180 25/125 [=====>........................] - ETA: 3:41 - batch_cost: 2.2147 - reader cost: 0.0173 26/125 [=====>........................] - ETA: 3:39 - batch_cost: 2.2187 - reader cost: 0.0166 27/125 [=====>........................] - ETA: 3:37 - batch_cost: 2.2217 - reader cost: 0.0160 28/125 [=====>........................] - ETA: 3:36 - batch_cost: 2.2287 - reader cost: 0.0154 29/125 [=====>........................] - ETA: 3:34 - batch_cost: 2.2377 - reader cost: 0.0149 30/125 [======>.......................] - ETA: 3:32 - batch_cost: 2.2353 - reader cost: 0.0144 31/125 [======>.......................] - ETA: 3:30 - batch_cost: 2.2365 - reader cost: 0.0140 32/125 [======>.......................] - ETA: 3:28 - batch_cost: 2.2373 - reader cost: 0.0135 33/125 [======>.......................] - ETA: 3:26 - batch_cost: 2.2429 - reader cost: 0.0131 34/125 [=======>......................] - ETA: 3:24 - batch_cost: 2.2459 - reader cost: 0.0127 35/125 [=======>......................] - ETA: 3:22 - batch_cost: 2.2449 - reader cost: 0.0124 36/125 [=======>......................] - ETA: 3:19 - batch_cost: 2.2465 - reader cost: 0.0121 37/125 [=======>......................] - ETA: 3:17 - batch_cost: 2.2488 - reader cost: 0.0117 38/125 [========>.....................] - ETA: 3:16 - batch_cost: 2.2556 - reader cost: 0.0114 39/125 [========>.....................] - ETA: 3:14 - batch_cost: 2.2571 - reader cost: 0.0111 40/125 [========>.....................] - ETA: 3:11 - batch_cost: 2.2583 - reader cost: 0.0109 41/125 [========>.....................] - ETA: 3:09 - batch_cost: 2.2588 - reader cost: 0.0106 42/125 [=========>....................] - ETA: 3:08 - batch_cost: 2.2763 - reader cost: 0.0104 43/125 [=========>....................] - ETA: 3:06 - batch_cost: 2.2746 - reader cost: 0.0101 44/125 [=========>....................] - ETA: 3:04 - batch_cost: 2.2739 - reader cost: 0.0099 45/125 [=========>....................] - ETA: 3:01 - batch_cost: 2.2730 - reader cost: 0.0097 46/125 [==========>...................] - ETA: 2:59 - batch_cost: 2.2758 - reader cost: 0.0095 47/125 [==========>...................] - ETA: 2:57 - 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[============>.................] - ETA: 2:33 - batch_cost: 2.2840 - reader cost: 0.0076 59/125 [=============>................] - ETA: 2:30 - batch_cost: 2.2859 - reader cost: 0.0074 60/125 [=============>................] - ETA: 2:28 - batch_cost: 2.2859 - reader cost: 0.0073 61/125 [=============>................] - ETA: 2:26 - batch_cost: 2.2866 - reader cost: 0.0072 62/125 [=============>................] - ETA: 2:24 - batch_cost: 2.2870 - reader cost: 0.0071 63/125 [==============>...............] - ETA: 2:21 - batch_cost: 2.2870 - reader cost: 0.0070 64/125 [==============>...............] - ETA: 2:19 - batch_cost: 2.2914 - reader cost: 0.0069 65/125 [==============>...............] - ETA: 2:17 - batch_cost: 2.2890 - reader cost: 0.0068 66/125 [==============>...............] - ETA: 2:15 - batch_cost: 2.2893 - reader cost: 0.0067 67/125 [===============>..............] - ETA: 2:12 - batch_cost: 2.2890 - reader cost: 0.0066 68/125 [===============>..............] - ETA: 2:10 - 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[=================>............] - ETA: 1:45 - batch_cost: 2.2967 - reader cost: 0.0056 80/125 [==================>...........] - ETA: 1:43 - batch_cost: 2.2972 - reader cost: 0.0055 81/125 [==================>...........] - ETA: 1:41 - batch_cost: 2.2959 - reader cost: 0.0055 82/125 [==================>...........] - ETA: 1:38 - batch_cost: 2.2953 - reader cost: 0.0054 83/125 [==================>...........] - ETA: 1:36 - batch_cost: 2.2974 - reader cost: 0.0054 84/125 [===================>..........] - ETA: 1:34 - batch_cost: 2.2994 - reader cost: 0.0053 85/125 [===================>..........] - ETA: 1:31 - batch_cost: 2.2984 - reader cost: 0.0052 86/125 [===================>..........] - ETA: 1:29 - batch_cost: 2.2994 - reader cost: 0.0052 87/125 [===================>..........] - ETA: 1:27 - batch_cost: 2.2981 - reader cost: 0.0051 88/125 [====================>.........] - ETA: 1:25 - batch_cost: 2.2985 - reader cost: 0.0051 89/125 [====================>.........] - ETA: 1:22 - batch_cost: 2.2978 - reader cost: 0.0050 90/125 [====================>.........] - ETA: 1:20 - batch_cost: 2.2980 - reader cost: 0.0050 91/125 [====================>.........] - ETA: 1:18 - batch_cost: 2.2983 - reader cost: 0.0049 92/125 [=====================>........] - ETA: 1:15 - batch_cost: 2.2977 - reader cost: 0.0049 93/125 [=====================>........] - ETA: 1:13 - batch_cost: 2.2995 - reader cost: 0.0048 94/125 [=====================>........] - ETA: 1:11 - batch_cost: 2.2992 - reader cost: 0.0048 95/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.3018 - reader cost: 0.0047 96/125 [======================>.......] - ETA: 1:06 - batch_cost: 2.3017 - reader cost: 0.0047 97/125 [======================>.......] - ETA: 1:04 - batch_cost: 2.3012 - reader cost: 0.0046 98/125 [======================>.......] - ETA: 1:02 - batch_cost: 2.3022 - reader cost: 0.0046 99/125 [======================>.......] - ETA: 59s - batch_cost: 2.3029 - reader cost: 0.0045  100/125 [=======================>......] - ETA: 57s - batch_cost: 2.3028 - reader cost: 0.0045 101/125 [=======================>......] - ETA: 55s - batch_cost: 2.3026 - reader cost: 0.0044 102/125 [=======================>......] - ETA: 52s - batch_cost: 2.3029 - reader cost: 0.0044 103/125 [=======================>......] - ETA: 50s - batch_cost: 2.3029 - reader cost: 0.0044 104/125 [=======================>......] - ETA: 48s - batch_cost: 2.3021 - reader cost: 0.0043 105/125 [========================>.....] - ETA: 46s - batch_cost: 2.3026 - reader cost: 0.0043 106/125 [========================>.....] - ETA: 43s - batch_cost: 2.3056 - reader cost: 0.0042 107/125 [========================>.....] - ETA: 41s - batch_cost: 2.3079 - reader cost: 0.0042 108/125 [========================>.....] - ETA: 39s - batch_cost: 2.3080 - reader cost: 0.0042 109/125 [=========================>....] - ETA: 36s - batch_cost: 2.3097 - reader cost: 0.0041 110/125 [=========================>....] - ETA: 34s - batch_cost: 2.3089 - reader cost: 0.0041 111/125 [=========================>....] - ETA: 32s - batch_cost: 2.3104 - reader cost: 0.0041 112/125 [=========================>....] - ETA: 30s - batch_cost: 2.3105 - reader cost: 0.0040 113/125 [==========================>...] - ETA: 27s - batch_cost: 2.3119 - reader cost: 0.0040 114/125 [==========================>...] - ETA: 25s - batch_cost: 2.3116 - reader cost: 0.0040 115/125 [==========================>...] - ETA: 23s - batch_cost: 2.3118 - reader cost: 0.0039 116/125 [==========================>...] - ETA: 20s - batch_cost: 2.3117 - reader cost: 0.0039 117/125 [===========================>..] - ETA: 18s - batch_cost: 2.3115 - reader cost: 0.0039 118/125 [===========================>..] - ETA: 16s - batch_cost: 2.3145 - reader cost: 0.0038 119/125 [===========================>..] - ETA: 13s - batch_cost: 2.3129 - reader cost: 0.0038 120/125 [===========================>..] - ETA: 11s - batch_cost: 2.3126 - reader cost: 0.0038 121/125 [============================>.] - ETA: 9s - batch_cost: 2.3127 - reader cost: 0.0037  122/125 [============================>.] - ETA: 6s - batch_cost: 2.3122 - reader cost: 0.0037 123/125 [============================>.] - ETA: 4s - batch_cost: 2.3127 - reader cost: 0.0037 124/125 [============================>.] - ETA: 2s - batch_cost: 2.3119 - reader cost: 0.0037 125/125 [==============================] - 289s 2s/step - batch_cost: 2.3121 - reader cost: 0.0036 2021-08-22 18:20:55 [INFO] [EVAL] #Images: 500 mIoU: 0.8194 Acc: 0.9670 Kappa: 0.9571 2021-08-22 18:20:55 [INFO] [EVAL] Class IoU: [0.9848 0.8766 0.9363 0.6672 0.6587 0.692 0.7516 0.8166 0.9316 0.6636 0.9567 0.8454 0.6629 0.9582 0.8814 0.8981 0.8727 0.7173 0.7975] 2021-08-22 18:20:55 [INFO] [EVAL] Class Acc: [0.9931 0.931 0.9632 0.8752 0.8555 0.8406 0.8565 0.9013 0.9609 0.8339 0.9735 0.9144 0.7898 0.9761 0.955 0.9481 0.9598 0.8284 0.8744] 2021-08-22 18:20:59 [INFO] [EVAL] The model with the best validation mIoU (0.8194) was saved at iter 84000. 2021-08-22 18:21:12 [INFO] [TRAIN] epoch: 226, iter: 84010/160000, loss: 0.0686, lr: 0.000028, batch_cost: 1.3260, reader_cost: 0.00123, ips: 1.5083 samples/sec | ETA 27:59:24 2021-08-22 18:21:26 [INFO] [TRAIN] epoch: 226, iter: 84020/160000, loss: 0.0622, lr: 0.000028, batch_cost: 1.3179, reader_cost: 0.00141, ips: 1.5176 samples/sec | ETA 27:48:51 2021-08-22 18:21:39 [INFO] [TRAIN] epoch: 226, iter: 84030/160000, loss: 0.0618, lr: 0.000028, batch_cost: 1.3101, reader_cost: 0.00254, ips: 1.5266 samples/sec | ETA 27:38:51 2021-08-22 18:21:52 [INFO] [TRAIN] epoch: 226, iter: 84040/160000, loss: 0.0528, lr: 0.000028, batch_cost: 1.3190, reader_cost: 0.00028, ips: 1.5163 samples/sec | ETA 27:49:52 2021-08-22 18:22:05 [INFO] [TRAIN] epoch: 226, iter: 84050/160000, loss: 0.0573, lr: 0.000028, batch_cost: 1.3088, reader_cost: 0.00026, ips: 1.5281 samples/sec | ETA 27:36:42 2021-08-22 18:22:18 [INFO] [TRAIN] epoch: 226, iter: 84060/160000, loss: 0.0564, lr: 0.000028, batch_cost: 1.3076, reader_cost: 0.00023, ips: 1.5295 samples/sec | ETA 27:35:02 2021-08-22 18:22:31 [INFO] [TRAIN] epoch: 226, iter: 84070/160000, loss: 0.0672, lr: 0.000028, batch_cost: 1.2462, reader_cost: 0.00018, ips: 1.6049 samples/sec | ETA 26:17:01 2021-08-22 18:22:47 [INFO] [TRAIN] epoch: 227, iter: 84080/160000, loss: 0.0534, lr: 0.000028, batch_cost: 1.6749, reader_cost: 0.31966, ips: 1.1941 samples/sec | ETA 35:19:19 2021-08-22 18:23:01 [INFO] [TRAIN] epoch: 227, iter: 84090/160000, loss: 0.0606, lr: 0.000028, batch_cost: 1.3218, reader_cost: 0.00084, ips: 1.5131 samples/sec | ETA 27:52:20 2021-08-22 18:23:14 [INFO] [TRAIN] epoch: 227, iter: 84100/160000, loss: 0.0596, lr: 0.000028, batch_cost: 1.3388, reader_cost: 0.00029, ips: 1.4938 samples/sec | ETA 28:13:37 2021-08-22 18:23:27 [INFO] [TRAIN] epoch: 227, iter: 84110/160000, loss: 0.0548, lr: 0.000028, batch_cost: 1.2910, reader_cost: 0.00028, ips: 1.5492 samples/sec | ETA 27:12:53 2021-08-22 18:23:40 [INFO] [TRAIN] epoch: 227, iter: 84120/160000, loss: 0.0529, lr: 0.000028, batch_cost: 1.3295, reader_cost: 0.00024, ips: 1.5043 samples/sec | ETA 28:01:22 2021-08-22 18:23:53 [INFO] [TRAIN] epoch: 227, iter: 84130/160000, loss: 0.0588, lr: 0.000028, batch_cost: 1.3139, reader_cost: 0.00026, ips: 1.5221 samples/sec | ETA 27:41:28 2021-08-22 18:24:06 [INFO] [TRAIN] epoch: 227, iter: 84140/160000, loss: 0.0456, lr: 0.000028, batch_cost: 1.3147, reader_cost: 0.00024, ips: 1.5213 samples/sec | ETA 27:42:10 2021-08-22 18:24:20 [INFO] [TRAIN] epoch: 227, iter: 84150/160000, loss: 0.0560, lr: 0.000028, batch_cost: 1.3119, reader_cost: 0.00027, ips: 1.5245 samples/sec | ETA 27:38:26 2021-08-22 18:24:32 [INFO] [TRAIN] epoch: 227, iter: 84160/160000, loss: 0.0531, lr: 0.000028, batch_cost: 1.2850, reader_cost: 0.00085, ips: 1.5564 samples/sec | ETA 27:04:14 2021-08-22 18:24:45 [INFO] [TRAIN] epoch: 227, iter: 84170/160000, loss: 0.0557, lr: 0.000028, batch_cost: 1.3093, reader_cost: 0.00042, ips: 1.5275 samples/sec | ETA 27:34:44 2021-08-22 18:24:59 [INFO] [TRAIN] epoch: 227, iter: 84180/160000, loss: 0.0719, lr: 0.000028, batch_cost: 1.3429, reader_cost: 0.00044, ips: 1.4893 samples/sec | ETA 28:17:02 2021-08-22 18:25:12 [INFO] [TRAIN] epoch: 227, iter: 84190/160000, loss: 0.0576, lr: 0.000028, batch_cost: 1.3229, reader_cost: 0.00028, ips: 1.5119 samples/sec | ETA 27:51:26 2021-08-22 18:25:25 [INFO] [TRAIN] epoch: 227, iter: 84200/160000, loss: 0.0629, lr: 0.000028, batch_cost: 1.3269, reader_cost: 0.00153, ips: 1.5073 samples/sec | ETA 27:56:16 2021-08-22 18:25:38 [INFO] [TRAIN] epoch: 227, iter: 84210/160000, loss: 0.0563, lr: 0.000028, batch_cost: 1.3080, reader_cost: 0.00027, ips: 1.5290 samples/sec | ETA 27:32:16 2021-08-22 18:25:52 [INFO] [TRAIN] epoch: 227, iter: 84220/160000, loss: 0.0627, lr: 0.000028, batch_cost: 1.3170, reader_cost: 0.00025, ips: 1.5186 samples/sec | ETA 27:43:22 2021-08-22 18:26:05 [INFO] [TRAIN] epoch: 227, iter: 84230/160000, loss: 0.0642, lr: 0.000028, batch_cost: 1.2982, reader_cost: 0.00025, ips: 1.5406 samples/sec | ETA 27:19:25 2021-08-22 18:26:18 [INFO] [TRAIN] epoch: 227, iter: 84240/160000, loss: 0.0607, lr: 0.000028, batch_cost: 1.3081, reader_cost: 0.00103, ips: 1.5289 samples/sec | ETA 27:31:41 2021-08-22 18:26:31 [INFO] [TRAIN] epoch: 227, iter: 84250/160000, loss: 0.0535, lr: 0.000028, batch_cost: 1.3075, reader_cost: 0.00031, ips: 1.5296 samples/sec | ETA 27:30:44 2021-08-22 18:26:44 [INFO] [TRAIN] epoch: 227, iter: 84260/160000, loss: 0.0673, lr: 0.000028, batch_cost: 1.3257, reader_cost: 0.00025, ips: 1.5087 samples/sec | ETA 27:53:25 2021-08-22 18:26:57 [INFO] [TRAIN] epoch: 227, iter: 84270/160000, loss: 0.0598, lr: 0.000028, batch_cost: 1.3193, reader_cost: 0.00029, ips: 1.5159 samples/sec | ETA 27:45:11 2021-08-22 18:27:11 [INFO] [TRAIN] epoch: 227, iter: 84280/160000, loss: 0.0615, lr: 0.000028, batch_cost: 1.3482, reader_cost: 0.00025, ips: 1.4834 samples/sec | ETA 28:21:27 2021-08-22 18:27:24 [INFO] [TRAIN] epoch: 227, iter: 84290/160000, loss: 0.0551, lr: 0.000028, batch_cost: 1.3113, reader_cost: 0.00023, ips: 1.5251 samples/sec | ETA 27:34:42 2021-08-22 18:27:37 [INFO] [TRAIN] epoch: 227, iter: 84300/160000, loss: 0.0599, lr: 0.000028, batch_cost: 1.3174, reader_cost: 0.00026, ips: 1.5181 samples/sec | ETA 27:42:07 2021-08-22 18:27:50 [INFO] [TRAIN] epoch: 227, iter: 84310/160000, loss: 0.0499, lr: 0.000028, batch_cost: 1.3179, reader_cost: 0.00024, ips: 1.5175 samples/sec | ETA 27:42:33 2021-08-22 18:28:03 [INFO] [TRAIN] epoch: 227, iter: 84320/160000, loss: 0.0516, lr: 0.000028, batch_cost: 1.3269, reader_cost: 0.00028, ips: 1.5072 samples/sec | ETA 27:53:41 2021-08-22 18:28:17 [INFO] [TRAIN] epoch: 227, iter: 84330/160000, loss: 0.0581, lr: 0.000028, batch_cost: 1.3226, reader_cost: 0.00024, ips: 1.5122 samples/sec | ETA 27:48:01 2021-08-22 18:28:30 [INFO] [TRAIN] epoch: 227, iter: 84340/160000, loss: 0.0658, lr: 0.000028, batch_cost: 1.3038, reader_cost: 0.00026, ips: 1.5340 samples/sec | ETA 27:24:06 2021-08-22 18:28:43 [INFO] [TRAIN] epoch: 227, iter: 84350/160000, loss: 0.0579, lr: 0.000028, batch_cost: 1.3007, reader_cost: 0.00044, ips: 1.5377 samples/sec | ETA 27:19:56 2021-08-22 18:28:56 [INFO] [TRAIN] epoch: 227, iter: 84360/160000, loss: 0.0609, lr: 0.000028, batch_cost: 1.3034, reader_cost: 0.00026, ips: 1.5345 samples/sec | ETA 27:23:07 2021-08-22 18:29:09 [INFO] [TRAIN] epoch: 227, iter: 84370/160000, loss: 0.0702, lr: 0.000028, batch_cost: 1.3054, reader_cost: 0.00027, ips: 1.5321 samples/sec | ETA 27:25:28 2021-08-22 18:29:22 [INFO] [TRAIN] epoch: 227, iter: 84380/160000, loss: 0.0557, lr: 0.000028, batch_cost: 1.3011, reader_cost: 0.00025, ips: 1.5372 samples/sec | ETA 27:19:45 2021-08-22 18:29:35 [INFO] [TRAIN] epoch: 227, iter: 84390/160000, loss: 0.0590, lr: 0.000028, batch_cost: 1.3215, reader_cost: 0.00028, ips: 1.5135 samples/sec | ETA 27:45:17 2021-08-22 18:29:48 [INFO] [TRAIN] epoch: 227, iter: 84400/160000, loss: 0.0508, lr: 0.000028, batch_cost: 1.3176, reader_cost: 0.00026, ips: 1.5179 samples/sec | ETA 27:40:09 2021-08-22 18:30:01 [INFO] [TRAIN] epoch: 227, iter: 84410/160000, loss: 0.0724, lr: 0.000028, batch_cost: 1.3222, reader_cost: 0.00026, ips: 1.5126 samples/sec | ETA 27:45:44 2021-08-22 18:30:14 [INFO] [TRAIN] epoch: 227, iter: 84420/160000, loss: 0.0526, lr: 0.000028, batch_cost: 1.2991, reader_cost: 0.00142, ips: 1.5395 samples/sec | ETA 27:16:26 2021-08-22 18:30:28 [INFO] [TRAIN] epoch: 227, iter: 84430/160000, loss: 0.0583, lr: 0.000028, batch_cost: 1.3090, reader_cost: 0.00026, ips: 1.5279 samples/sec | ETA 27:28:42 2021-08-22 18:30:40 [INFO] [TRAIN] epoch: 227, iter: 84440/160000, loss: 0.0620, lr: 0.000028, batch_cost: 1.2540, reader_cost: 0.00020, ips: 1.5950 samples/sec | ETA 26:19:08 2021-08-22 18:30:57 [INFO] [TRAIN] epoch: 228, iter: 84450/160000, loss: 0.0621, lr: 0.000028, batch_cost: 1.6527, reader_cost: 0.24991, ips: 1.2101 samples/sec | ETA 34:41:02 2021-08-22 18:31:10 [INFO] [TRAIN] epoch: 228, iter: 84460/160000, loss: 0.0506, lr: 0.000028, batch_cost: 1.3138, reader_cost: 0.00090, ips: 1.5223 samples/sec | ETA 27:34:06 2021-08-22 18:31:23 [INFO] [TRAIN] epoch: 228, iter: 84470/160000, loss: 0.0543, lr: 0.000028, batch_cost: 1.3244, reader_cost: 0.00023, ips: 1.5101 samples/sec | ETA 27:47:15 2021-08-22 18:31:36 [INFO] [TRAIN] epoch: 228, iter: 84480/160000, loss: 0.0545, lr: 0.000028, batch_cost: 1.3290, reader_cost: 0.00027, ips: 1.5049 samples/sec | ETA 27:52:44 2021-08-22 18:31:49 [INFO] [TRAIN] epoch: 228, iter: 84490/160000, loss: 0.0593, lr: 0.000028, batch_cost: 1.2795, reader_cost: 0.00023, ips: 1.5631 samples/sec | ETA 26:50:17 2021-08-22 18:32:02 [INFO] [TRAIN] epoch: 228, iter: 84500/160000, loss: 0.0627, lr: 0.000028, batch_cost: 1.2564, reader_cost: 0.00023, ips: 1.5919 samples/sec | ETA 26:20:56 2021-08-22 18:32:14 [INFO] [TRAIN] epoch: 228, iter: 84510/160000, loss: 0.0507, lr: 0.000028, batch_cost: 1.2540, reader_cost: 0.00025, ips: 1.5948 samples/sec | ETA 26:17:47 2021-08-22 18:32:27 [INFO] [TRAIN] epoch: 228, iter: 84520/160000, loss: 0.0624, lr: 0.000028, batch_cost: 1.2488, reader_cost: 0.00020, ips: 1.6015 samples/sec | ETA 26:11:00 2021-08-22 18:32:39 [INFO] [TRAIN] epoch: 228, iter: 84530/160000, loss: 0.0646, lr: 0.000028, batch_cost: 1.2326, reader_cost: 0.00020, ips: 1.6226 samples/sec | ETA 25:50:23 2021-08-22 18:32:52 [INFO] [TRAIN] epoch: 228, iter: 84540/160000, loss: 0.0626, lr: 0.000028, batch_cost: 1.2664, reader_cost: 0.00022, ips: 1.5792 samples/sec | ETA 26:32:45 2021-08-22 18:33:04 [INFO] [TRAIN] epoch: 228, iter: 84550/160000, loss: 0.0635, lr: 0.000028, batch_cost: 1.2737, reader_cost: 0.00023, ips: 1.5702 samples/sec | ETA 26:41:40 2021-08-22 18:33:17 [INFO] [TRAIN] epoch: 228, iter: 84560/160000, loss: 0.0481, lr: 0.000028, batch_cost: 1.2993, reader_cost: 0.00022, ips: 1.5393 samples/sec | ETA 27:13:40 2021-08-22 18:33:30 [INFO] [TRAIN] epoch: 228, iter: 84570/160000, loss: 0.0519, lr: 0.000028, batch_cost: 1.2587, reader_cost: 0.00023, ips: 1.5890 samples/sec | ETA 26:22:21 2021-08-22 18:33:43 [INFO] [TRAIN] epoch: 228, iter: 84580/160000, loss: 0.0596, lr: 0.000028, batch_cost: 1.2752, reader_cost: 0.00022, ips: 1.5684 samples/sec | ETA 26:42:53 2021-08-22 18:33:55 [INFO] [TRAIN] epoch: 228, iter: 84590/160000, loss: 0.0525, lr: 0.000028, batch_cost: 1.2580, reader_cost: 0.00120, ips: 1.5898 samples/sec | ETA 26:21:04 2021-08-22 18:34:08 [INFO] [TRAIN] epoch: 228, iter: 84600/160000, loss: 0.0583, lr: 0.000028, batch_cost: 1.2610, reader_cost: 0.00023, ips: 1.5861 samples/sec | ETA 26:24:37 2021-08-22 18:34:21 [INFO] [TRAIN] epoch: 228, iter: 84610/160000, loss: 0.0605, lr: 0.000028, batch_cost: 1.2796, reader_cost: 0.00022, ips: 1.5630 samples/sec | ETA 26:47:50 2021-08-22 18:34:34 [INFO] [TRAIN] epoch: 228, iter: 84620/160000, loss: 0.0545, lr: 0.000028, batch_cost: 1.3226, reader_cost: 0.00026, ips: 1.5122 samples/sec | ETA 27:41:38 2021-08-22 18:34:47 [INFO] [TRAIN] epoch: 228, iter: 84630/160000, loss: 0.0582, lr: 0.000028, batch_cost: 1.3004, reader_cost: 0.00091, ips: 1.5380 samples/sec | ETA 27:13:33 2021-08-22 18:35:00 [INFO] [TRAIN] epoch: 228, iter: 84640/160000, loss: 0.0539, lr: 0.000028, batch_cost: 1.3289, reader_cost: 0.00026, ips: 1.5050 samples/sec | ETA 27:49:03 2021-08-22 18:35:14 [INFO] [TRAIN] epoch: 228, iter: 84650/160000, loss: 0.0671, lr: 0.000028, batch_cost: 1.3242, reader_cost: 0.00026, ips: 1.5103 samples/sec | ETA 27:43:01 2021-08-22 18:35:27 [INFO] [TRAIN] epoch: 228, iter: 84660/160000, loss: 0.0592, lr: 0.000028, batch_cost: 1.3151, reader_cost: 0.00028, ips: 1.5208 samples/sec | ETA 27:31:18 2021-08-22 18:35:40 [INFO] [TRAIN] epoch: 228, iter: 84670/160000, loss: 0.0608, lr: 0.000028, batch_cost: 1.3106, reader_cost: 0.00024, ips: 1.5260 samples/sec | ETA 27:25:29 2021-08-22 18:35:53 [INFO] [TRAIN] epoch: 228, iter: 84680/160000, loss: 0.0629, lr: 0.000028, batch_cost: 1.3128, reader_cost: 0.00025, ips: 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0.000028, batch_cost: 1.3135, reader_cost: 0.00025, ips: 1.5227 samples/sec | ETA 27:27:33 2021-08-22 18:37:25 [INFO] [TRAIN] epoch: 228, iter: 84750/160000, loss: 0.0618, lr: 0.000028, batch_cost: 1.3113, reader_cost: 0.00023, ips: 1.5252 samples/sec | ETA 27:24:35 2021-08-22 18:37:38 [INFO] [TRAIN] epoch: 228, iter: 84760/160000, loss: 0.0452, lr: 0.000028, batch_cost: 1.3027, reader_cost: 0.00025, ips: 1.5353 samples/sec | ETA 27:13:32 2021-08-22 18:37:51 [INFO] [TRAIN] epoch: 228, iter: 84770/160000, loss: 0.0534, lr: 0.000028, batch_cost: 1.3207, reader_cost: 0.00026, ips: 1.5143 samples/sec | ETA 27:35:59 2021-08-22 18:38:04 [INFO] [TRAIN] epoch: 228, iter: 84780/160000, loss: 0.0581, lr: 0.000028, batch_cost: 1.3156, reader_cost: 0.00152, ips: 1.5203 samples/sec | ETA 27:29:17 2021-08-22 18:38:17 [INFO] [TRAIN] epoch: 228, iter: 84790/160000, loss: 0.0512, lr: 0.000028, batch_cost: 1.3082, reader_cost: 0.00024, ips: 1.5288 samples/sec | ETA 27:19:52 2021-08-22 18:38:31 [INFO] [TRAIN] epoch: 228, iter: 84800/160000, loss: 0.0511, lr: 0.000028, batch_cost: 1.3211, reader_cost: 0.00025, ips: 1.5139 samples/sec | ETA 27:35:43 2021-08-22 18:38:43 [INFO] [TRAIN] epoch: 228, iter: 84810/160000, loss: 0.0616, lr: 0.000028, batch_cost: 1.2720, reader_cost: 0.00022, ips: 1.5723 samples/sec | ETA 26:34:03 2021-08-22 18:39:00 [INFO] [TRAIN] epoch: 229, iter: 84820/160000, loss: 0.0576, lr: 0.000028, batch_cost: 1.6710, reader_cost: 0.31360, ips: 1.1969 samples/sec | ETA 34:53:46 2021-08-22 18:39:13 [INFO] [TRAIN] epoch: 229, iter: 84830/160000, loss: 0.0670, lr: 0.000028, batch_cost: 1.3087, reader_cost: 0.00213, ips: 1.5282 samples/sec | ETA 27:19:36 2021-08-22 18:39:26 [INFO] [TRAIN] epoch: 229, iter: 84840/160000, loss: 0.0596, lr: 0.000028, batch_cost: 1.3298, reader_cost: 0.00026, ips: 1.5039 samples/sec | ETA 27:45:50 2021-08-22 18:39:40 [INFO] [TRAIN] epoch: 229, iter: 84850/160000, loss: 0.0530, lr: 0.000028, batch_cost: 1.3103, reader_cost: 0.00024, ips: 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0.000028, batch_cost: 1.3121, reader_cost: 0.00025, ips: 1.5242 samples/sec | ETA 27:22:07 2021-08-22 18:41:12 [INFO] [TRAIN] epoch: 229, iter: 84920/160000, loss: 0.0659, lr: 0.000028, batch_cost: 1.3226, reader_cost: 0.00026, ips: 1.5122 samples/sec | ETA 27:35:01 2021-08-22 18:41:25 [INFO] [TRAIN] epoch: 229, iter: 84930/160000, loss: 0.0569, lr: 0.000028, batch_cost: 1.3099, reader_cost: 0.00022, ips: 1.5268 samples/sec | ETA 27:18:54 2021-08-22 18:41:38 [INFO] [TRAIN] epoch: 229, iter: 84940/160000, loss: 0.0538, lr: 0.000028, batch_cost: 1.3207, reader_cost: 0.00025, ips: 1.5144 samples/sec | ETA 27:32:10 2021-08-22 18:41:51 [INFO] [TRAIN] epoch: 229, iter: 84950/160000, loss: 0.0603, lr: 0.000028, batch_cost: 1.3295, reader_cost: 0.00028, ips: 1.5043 samples/sec | ETA 27:42:58 2021-08-22 18:42:05 [INFO] [TRAIN] epoch: 229, iter: 84960/160000, loss: 0.0538, lr: 0.000028, batch_cost: 1.3328, reader_cost: 0.00026, ips: 1.5006 samples/sec | ETA 27:46:53 2021-08-22 18:42:18 [INFO] [TRAIN] epoch: 229, iter: 84970/160000, loss: 0.0649, lr: 0.000028, batch_cost: 1.3074, reader_cost: 0.00028, ips: 1.5298 samples/sec | ETA 27:14:52 2021-08-22 18:42:31 [INFO] [TRAIN] epoch: 229, iter: 84980/160000, loss: 0.0527, lr: 0.000028, batch_cost: 1.3022, reader_cost: 0.00026, ips: 1.5359 samples/sec | ETA 27:08:09 2021-08-22 18:42:44 [INFO] [TRAIN] epoch: 229, iter: 84990/160000, loss: 0.0535, lr: 0.000028, batch_cost: 1.3261, reader_cost: 0.00025, ips: 1.5082 samples/sec | ETA 27:37:52 2021-08-22 18:42:57 [INFO] [TRAIN] epoch: 229, iter: 85000/160000, loss: 0.0633, lr: 0.000028, batch_cost: 1.3336, reader_cost: 0.00026, ips: 1.4997 samples/sec | ETA 27:46:57 2021-08-22 18:43:11 [INFO] [TRAIN] epoch: 229, iter: 85010/160000, loss: 0.0528, lr: 0.000028, batch_cost: 1.3301, reader_cost: 0.00026, ips: 1.5037 samples/sec | ETA 27:42:22 2021-08-22 18:43:24 [INFO] [TRAIN] epoch: 229, iter: 85020/160000, loss: 0.0627, lr: 0.000028, batch_cost: 1.3128, reader_cost: 0.00024, ips: 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0.000028, batch_cost: 1.3004, reader_cost: 0.00027, ips: 1.5380 samples/sec | ETA 27:03:46 2021-08-22 18:44:56 [INFO] [TRAIN] epoch: 229, iter: 85090/160000, loss: 0.0552, lr: 0.000028, batch_cost: 1.3238, reader_cost: 0.00024, ips: 1.5108 samples/sec | ETA 27:32:47 2021-08-22 18:45:09 [INFO] [TRAIN] epoch: 229, iter: 85100/160000, loss: 0.0500, lr: 0.000028, batch_cost: 1.3089, reader_cost: 0.00024, ips: 1.5280 samples/sec | ETA 27:13:58 2021-08-22 18:45:23 [INFO] [TRAIN] epoch: 229, iter: 85110/160000, loss: 0.0550, lr: 0.000028, batch_cost: 1.3359, reader_cost: 0.00156, ips: 1.4971 samples/sec | ETA 27:47:27 2021-08-22 18:45:36 [INFO] [TRAIN] epoch: 229, iter: 85120/160000, loss: 0.0598, lr: 0.000028, batch_cost: 1.3125, reader_cost: 0.00027, ips: 1.5238 samples/sec | ETA 27:17:58 2021-08-22 18:45:49 [INFO] [TRAIN] epoch: 229, iter: 85130/160000, loss: 0.0502, lr: 0.000028, batch_cost: 1.3066, reader_cost: 0.00024, ips: 1.5307 samples/sec | ETA 27:10:22 2021-08-22 18:46:02 [INFO] [TRAIN] epoch: 229, iter: 85140/160000, loss: 0.0601, lr: 0.000028, batch_cost: 1.3064, reader_cost: 0.00025, ips: 1.5310 samples/sec | ETA 27:09:53 2021-08-22 18:46:15 [INFO] [TRAIN] epoch: 229, iter: 85150/160000, loss: 0.0532, lr: 0.000028, batch_cost: 1.3280, reader_cost: 0.00062, ips: 1.5061 samples/sec | ETA 27:36:38 2021-08-22 18:46:28 [INFO] [TRAIN] epoch: 229, iter: 85160/160000, loss: 0.0569, lr: 0.000028, batch_cost: 1.3156, reader_cost: 0.00026, ips: 1.5202 samples/sec | ETA 27:21:00 2021-08-22 18:46:42 [INFO] [TRAIN] epoch: 229, iter: 85170/160000, loss: 0.0753, lr: 0.000028, batch_cost: 1.3210, reader_cost: 0.00025, ips: 1.5140 samples/sec | ETA 27:27:27 2021-08-22 18:46:55 [INFO] [TRAIN] epoch: 229, iter: 85180/160000, loss: 0.0584, lr: 0.000028, batch_cost: 1.3142, reader_cost: 0.00298, ips: 1.5218 samples/sec | ETA 27:18:48 2021-08-22 18:47:12 [INFO] [TRAIN] epoch: 230, iter: 85190/160000, loss: 0.0494, lr: 0.000028, batch_cost: 1.7085, reader_cost: 0.30894, ips: 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0.000028, batch_cost: 1.3071, reader_cost: 0.00033, ips: 1.5302 samples/sec | ETA 27:08:22 2021-08-22 18:48:44 [INFO] [TRAIN] epoch: 230, iter: 85260/160000, loss: 0.0575, lr: 0.000028, batch_cost: 1.2960, reader_cost: 0.00091, ips: 1.5432 samples/sec | ETA 26:54:26 2021-08-22 18:48:57 [INFO] [TRAIN] epoch: 230, iter: 85270/160000, loss: 0.0637, lr: 0.000028, batch_cost: 1.3065, reader_cost: 0.00024, ips: 1.5308 samples/sec | ETA 27:07:14 2021-08-22 18:49:10 [INFO] [TRAIN] epoch: 230, iter: 85280/160000, loss: 0.0594, lr: 0.000028, batch_cost: 1.2642, reader_cost: 0.00023, ips: 1.5820 samples/sec | ETA 26:14:21 2021-08-22 18:49:22 [INFO] [TRAIN] epoch: 230, iter: 85290/160000, loss: 0.0538, lr: 0.000028, batch_cost: 1.2790, reader_cost: 0.00021, ips: 1.5637 samples/sec | ETA 26:32:33 2021-08-22 18:49:35 [INFO] [TRAIN] epoch: 230, iter: 85300/160000, loss: 0.0643, lr: 0.000028, batch_cost: 1.2604, reader_cost: 0.00023, ips: 1.5869 samples/sec | ETA 26:09:08 2021-08-22 18:49:48 [INFO] [TRAIN] epoch: 230, iter: 85310/160000, loss: 0.0615, lr: 0.000028, batch_cost: 1.2497, reader_cost: 0.00022, ips: 1.6004 samples/sec | ETA 25:55:40 2021-08-22 18:50:00 [INFO] [TRAIN] epoch: 230, iter: 85320/160000, loss: 0.0558, lr: 0.000028, batch_cost: 1.2582, reader_cost: 0.00020, ips: 1.5895 samples/sec | ETA 26:06:05 2021-08-22 18:50:13 [INFO] [TRAIN] epoch: 230, iter: 85330/160000, loss: 0.0499, lr: 0.000028, batch_cost: 1.2943, reader_cost: 0.00022, ips: 1.5452 samples/sec | ETA 26:50:44 2021-08-22 18:50:26 [INFO] [TRAIN] epoch: 230, iter: 85340/160000, loss: 0.0508, lr: 0.000028, batch_cost: 1.2825, reader_cost: 0.00024, ips: 1.5594 samples/sec | ETA 26:35:54 2021-08-22 18:50:39 [INFO] [TRAIN] epoch: 230, iter: 85350/160000, loss: 0.0645, lr: 0.000028, batch_cost: 1.3340, reader_cost: 0.00025, ips: 1.4993 samples/sec | ETA 27:39:39 2021-08-22 18:50:52 [INFO] [TRAIN] epoch: 230, iter: 85360/160000, loss: 0.0540, lr: 0.000028, batch_cost: 1.2649, reader_cost: 0.00025, ips: 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0.000028, batch_cost: 1.3305, reader_cost: 0.00024, ips: 1.5032 samples/sec | ETA 27:33:47 2021-08-22 18:52:22 [INFO] [TRAIN] epoch: 230, iter: 85430/160000, loss: 0.0574, lr: 0.000028, batch_cost: 1.3153, reader_cost: 0.00038, ips: 1.5206 samples/sec | ETA 27:14:39 2021-08-22 18:52:36 [INFO] [TRAIN] epoch: 230, iter: 85440/160000, loss: 0.0646, lr: 0.000028, batch_cost: 1.3481, reader_cost: 0.00035, ips: 1.4836 samples/sec | ETA 27:55:12 2021-08-22 18:52:49 [INFO] [TRAIN] epoch: 230, iter: 85450/160000, loss: 0.0643, lr: 0.000028, batch_cost: 1.3320, reader_cost: 0.00026, ips: 1.5015 samples/sec | ETA 27:34:58 2021-08-22 18:53:02 [INFO] [TRAIN] epoch: 230, iter: 85460/160000, loss: 0.0640, lr: 0.000028, batch_cost: 1.3402, reader_cost: 0.00026, ips: 1.4923 samples/sec | ETA 27:44:56 2021-08-22 18:53:16 [INFO] [TRAIN] epoch: 230, iter: 85470/160000, loss: 0.0562, lr: 0.000028, batch_cost: 1.3413, reader_cost: 0.00025, ips: 1.4911 samples/sec | ETA 27:46:07 2021-08-22 18:53:29 [INFO] [TRAIN] epoch: 230, iter: 85480/160000, loss: 0.0730, lr: 0.000028, batch_cost: 1.3462, reader_cost: 0.00164, ips: 1.4857 samples/sec | ETA 27:51:56 2021-08-22 18:53:42 [INFO] [TRAIN] epoch: 230, iter: 85490/160000, loss: 0.0571, lr: 0.000028, batch_cost: 1.3157, reader_cost: 0.00026, ips: 1.5201 samples/sec | ETA 27:13:52 2021-08-22 18:53:55 [INFO] [TRAIN] epoch: 230, iter: 85500/160000, loss: 0.0541, lr: 0.000028, batch_cost: 1.2999, reader_cost: 0.00025, ips: 1.5386 samples/sec | ETA 26:54:00 2021-08-22 18:54:08 [INFO] [TRAIN] epoch: 230, iter: 85510/160000, loss: 0.0647, lr: 0.000028, batch_cost: 1.3173, reader_cost: 0.00024, ips: 1.5182 samples/sec | ETA 27:15:28 2021-08-22 18:54:22 [INFO] [TRAIN] epoch: 230, iter: 85520/160000, loss: 0.0505, lr: 0.000028, batch_cost: 1.3268, reader_cost: 0.00026, ips: 1.5074 samples/sec | ETA 27:26:59 2021-08-22 18:54:35 [INFO] [TRAIN] epoch: 230, iter: 85530/160000, loss: 0.0586, lr: 0.000028, batch_cost: 1.3233, reader_cost: 0.00044, ips: 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0.000028, batch_cost: 1.3209, reader_cost: 0.00026, ips: 1.5142 samples/sec | ETA 27:18:06 2021-08-22 18:56:11 [INFO] [TRAIN] epoch: 231, iter: 85600/160000, loss: 0.0604, lr: 0.000028, batch_cost: 1.3153, reader_cost: 0.00023, ips: 1.5206 samples/sec | ETA 27:10:59 2021-08-22 18:56:24 [INFO] [TRAIN] epoch: 231, iter: 85610/160000, loss: 0.0526, lr: 0.000028, batch_cost: 1.3204, reader_cost: 0.00181, ips: 1.5147 samples/sec | ETA 27:17:00 2021-08-22 18:56:37 [INFO] [TRAIN] epoch: 231, iter: 85620/160000, loss: 0.0540, lr: 0.000028, batch_cost: 1.3287, reader_cost: 0.00028, ips: 1.5052 samples/sec | ETA 27:27:11 2021-08-22 18:56:51 [INFO] [TRAIN] epoch: 231, iter: 85630/160000, loss: 0.0568, lr: 0.000028, batch_cost: 1.3287, reader_cost: 0.00026, ips: 1.5053 samples/sec | ETA 27:26:52 2021-08-22 18:57:04 [INFO] [TRAIN] epoch: 231, iter: 85640/160000, loss: 0.0603, lr: 0.000028, batch_cost: 1.3253, reader_cost: 0.00024, ips: 1.5091 samples/sec | ETA 27:22:30 2021-08-22 18:57:17 [INFO] [TRAIN] epoch: 231, iter: 85650/160000, loss: 0.0914, lr: 0.000028, batch_cost: 1.3213, reader_cost: 0.00026, ips: 1.5137 samples/sec | ETA 27:17:17 2021-08-22 18:57:30 [INFO] [TRAIN] epoch: 231, iter: 85660/160000, loss: 0.0558, lr: 0.000028, batch_cost: 1.3084, reader_cost: 0.00051, ips: 1.5286 samples/sec | ETA 27:01:06 2021-08-22 18:57:44 [INFO] [TRAIN] epoch: 231, iter: 85670/160000, loss: 0.0669, lr: 0.000028, batch_cost: 1.3361, reader_cost: 0.00069, ips: 1.4968 samples/sec | ETA 27:35:15 2021-08-22 18:57:57 [INFO] [TRAIN] epoch: 231, iter: 85680/160000, loss: 0.0646, lr: 0.000028, batch_cost: 1.3158, reader_cost: 0.00027, ips: 1.5199 samples/sec | ETA 27:09:53 2021-08-22 18:58:10 [INFO] [TRAIN] epoch: 231, iter: 85690/160000, loss: 0.0604, lr: 0.000028, batch_cost: 1.3174, reader_cost: 0.00216, ips: 1.5182 samples/sec | ETA 27:11:34 2021-08-22 18:58:23 [INFO] [TRAIN] epoch: 231, iter: 85700/160000, loss: 0.0624, lr: 0.000028, batch_cost: 1.3331, reader_cost: 0.00024, ips: 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0.000028, batch_cost: 1.3213, reader_cost: 0.00026, ips: 1.5137 samples/sec | ETA 27:14:52 2021-08-22 18:59:55 [INFO] [TRAIN] epoch: 231, iter: 85770/160000, loss: 0.0552, lr: 0.000028, batch_cost: 1.3158, reader_cost: 0.00076, ips: 1.5200 samples/sec | ETA 27:07:49 2021-08-22 19:00:08 [INFO] [TRAIN] epoch: 231, iter: 85780/160000, loss: 0.0574, lr: 0.000028, batch_cost: 1.3103, reader_cost: 0.00026, ips: 1.5264 samples/sec | ETA 27:00:51 2021-08-22 19:00:22 [INFO] [TRAIN] epoch: 231, iter: 85790/160000, loss: 0.0577, lr: 0.000028, batch_cost: 1.3177, reader_cost: 0.00025, ips: 1.5178 samples/sec | ETA 27:09:47 2021-08-22 19:00:35 [INFO] [TRAIN] epoch: 231, iter: 85800/160000, loss: 0.0498, lr: 0.000028, batch_cost: 1.3038, reader_cost: 0.00024, ips: 1.5340 samples/sec | ETA 26:52:18 2021-08-22 19:00:48 [INFO] [TRAIN] epoch: 231, iter: 85810/160000, loss: 0.0619, lr: 0.000028, batch_cost: 1.3066, reader_cost: 0.00025, ips: 1.5307 samples/sec | ETA 26:55:35 2021-08-22 19:01:01 [INFO] [TRAIN] epoch: 231, iter: 85820/160000, loss: 0.0547, lr: 0.000028, batch_cost: 1.2987, reader_cost: 0.00026, ips: 1.5401 samples/sec | ETA 26:45:34 2021-08-22 19:01:14 [INFO] [TRAIN] epoch: 231, iter: 85830/160000, loss: 0.0568, lr: 0.000028, batch_cost: 1.3221, reader_cost: 0.00185, ips: 1.5127 samples/sec | ETA 27:14:22 2021-08-22 19:01:27 [INFO] [TRAIN] epoch: 231, iter: 85840/160000, loss: 0.0596, lr: 0.000028, batch_cost: 1.3558, reader_cost: 0.00024, ips: 1.4752 samples/sec | ETA 27:55:44 2021-08-22 19:01:41 [INFO] [TRAIN] epoch: 231, iter: 85850/160000, loss: 0.0644, lr: 0.000028, batch_cost: 1.3163, reader_cost: 0.00025, ips: 1.5195 samples/sec | ETA 27:06:40 2021-08-22 19:01:54 [INFO] [TRAIN] epoch: 231, iter: 85860/160000, loss: 0.0529, lr: 0.000028, batch_cost: 1.3305, reader_cost: 0.00140, ips: 1.5031 samples/sec | ETA 27:24:06 2021-08-22 19:02:07 [INFO] [TRAIN] epoch: 231, iter: 85870/160000, loss: 0.0536, lr: 0.000028, batch_cost: 1.3169, reader_cost: 0.00025, ips: 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0.000028, batch_cost: 1.2356, reader_cost: 0.00018, ips: 1.6186 samples/sec | ETA 25:25:21 2021-08-22 19:03:42 [INFO] [TRAIN] epoch: 232, iter: 85940/160000, loss: 0.0609, lr: 0.000028, batch_cost: 1.7024, reader_cost: 0.29134, ips: 1.1748 samples/sec | ETA 35:01:17 2021-08-22 19:03:55 [INFO] [TRAIN] epoch: 232, iter: 85950/160000, loss: 0.0702, lr: 0.000028, batch_cost: 1.3330, reader_cost: 0.00260, ips: 1.5004 samples/sec | ETA 27:25:06 2021-08-22 19:04:08 [INFO] [TRAIN] epoch: 232, iter: 85960/160000, loss: 0.0512, lr: 0.000028, batch_cost: 1.3217, reader_cost: 0.00025, ips: 1.5133 samples/sec | ETA 27:10:55 2021-08-22 19:04:22 [INFO] [TRAIN] epoch: 232, iter: 85970/160000, loss: 0.0571, lr: 0.000028, batch_cost: 1.3110, reader_cost: 0.00027, ips: 1.5255 samples/sec | ETA 26:57:33 2021-08-22 19:04:35 [INFO] [TRAIN] epoch: 232, iter: 85980/160000, loss: 0.0722, lr: 0.000028, batch_cost: 1.3268, reader_cost: 0.00025, ips: 1.5074 samples/sec | ETA 27:16:48 2021-08-22 19:04:48 [INFO] [TRAIN] epoch: 232, iter: 85990/160000, loss: 0.0659, lr: 0.000028, batch_cost: 1.3212, reader_cost: 0.00023, ips: 1.5137 samples/sec | ETA 27:09:43 2021-08-22 19:05:01 [INFO] [TRAIN] epoch: 232, iter: 86000/160000, loss: 0.0564, lr: 0.000028, batch_cost: 1.2979, reader_cost: 0.00022, ips: 1.5410 samples/sec | ETA 26:40:41 2021-08-22 19:05:14 [INFO] [TRAIN] epoch: 232, iter: 86010/160000, loss: 0.0558, lr: 0.000028, batch_cost: 1.2996, reader_cost: 0.00025, ips: 1.5390 samples/sec | ETA 26:42:35 2021-08-22 19:05:27 [INFO] [TRAIN] epoch: 232, iter: 86020/160000, loss: 0.0735, lr: 0.000028, batch_cost: 1.3167, reader_cost: 0.00051, ips: 1.5190 samples/sec | ETA 27:03:25 2021-08-22 19:05:40 [INFO] [TRAIN] epoch: 232, iter: 86030/160000, loss: 0.0533, lr: 0.000028, batch_cost: 1.3072, reader_cost: 0.00094, ips: 1.5299 samples/sec | ETA 26:51:36 2021-08-22 19:05:53 [INFO] [TRAIN] epoch: 232, iter: 86040/160000, loss: 0.0557, lr: 0.000028, batch_cost: 1.3048, reader_cost: 0.00025, ips: 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0.000028, batch_cost: 1.2238, reader_cost: 0.00020, ips: 1.6342 samples/sec | ETA 25:07:20 2021-08-22 19:07:22 [INFO] [TRAIN] epoch: 232, iter: 86110/160000, loss: 0.0600, lr: 0.000028, batch_cost: 1.2526, reader_cost: 0.00024, ips: 1.5967 samples/sec | ETA 25:42:31 2021-08-22 19:07:34 [INFO] [TRAIN] epoch: 232, iter: 86120/160000, loss: 0.0639, lr: 0.000028, batch_cost: 1.2710, reader_cost: 0.00103, ips: 1.5735 samples/sec | ETA 26:05:04 2021-08-22 19:07:47 [INFO] [TRAIN] epoch: 232, iter: 86130/160000, loss: 0.0758, lr: 0.000028, batch_cost: 1.3145, reader_cost: 0.00026, ips: 1.5215 samples/sec | ETA 26:58:22 2021-08-22 19:08:01 [INFO] [TRAIN] epoch: 232, iter: 86140/160000, loss: 0.0654, lr: 0.000028, batch_cost: 1.3238, reader_cost: 0.00187, ips: 1.5108 samples/sec | ETA 27:09:35 2021-08-22 19:08:14 [INFO] [TRAIN] epoch: 232, iter: 86150/160000, loss: 0.0555, lr: 0.000028, batch_cost: 1.2855, reader_cost: 0.00022, ips: 1.5558 samples/sec | ETA 26:22:13 2021-08-22 19:08:26 [INFO] [TRAIN] epoch: 232, iter: 86160/160000, loss: 0.0611, lr: 0.000028, batch_cost: 1.2768, reader_cost: 0.00020, ips: 1.5664 samples/sec | ETA 26:11:20 2021-08-22 19:08:39 [INFO] [TRAIN] epoch: 232, iter: 86170/160000, loss: 0.0577, lr: 0.000028, batch_cost: 1.2843, reader_cost: 0.00023, ips: 1.5572 samples/sec | ETA 26:20:22 2021-08-22 19:08:52 [INFO] [TRAIN] epoch: 232, iter: 86180/160000, loss: 0.0531, lr: 0.000028, batch_cost: 1.2678, reader_cost: 0.00026, ips: 1.5776 samples/sec | ETA 25:59:47 2021-08-22 19:09:04 [INFO] [TRAIN] epoch: 232, iter: 86190/160000, loss: 0.0585, lr: 0.000028, batch_cost: 1.2491, reader_cost: 0.00023, ips: 1.6012 samples/sec | ETA 25:36:33 2021-08-22 19:09:17 [INFO] [TRAIN] epoch: 232, iter: 86200/160000, loss: 0.0525, lr: 0.000028, batch_cost: 1.2843, reader_cost: 0.00023, ips: 1.5572 samples/sec | ETA 26:19:44 2021-08-22 19:09:30 [INFO] [TRAIN] epoch: 232, iter: 86210/160000, loss: 0.0547, lr: 0.000028, batch_cost: 1.3303, reader_cost: 0.00025, ips: 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0.000028, batch_cost: 1.3281, reader_cost: 0.00025, ips: 1.5059 samples/sec | ETA 27:11:59 2021-08-22 19:11:03 [INFO] [TRAIN] epoch: 232, iter: 86280/160000, loss: 0.0555, lr: 0.000028, batch_cost: 1.3071, reader_cost: 0.00145, ips: 1.5301 samples/sec | ETA 26:46:01 2021-08-22 19:11:16 [INFO] [TRAIN] epoch: 232, iter: 86290/160000, loss: 0.0612, lr: 0.000028, batch_cost: 1.3160, reader_cost: 0.00024, ips: 1.5198 samples/sec | ETA 26:56:39 2021-08-22 19:11:28 [INFO] [TRAIN] epoch: 232, iter: 86300/160000, loss: 0.0566, lr: 0.000028, batch_cost: 1.2611, reader_cost: 0.00019, ips: 1.5859 samples/sec | ETA 25:49:03 2021-08-22 19:11:45 [INFO] [TRAIN] epoch: 233, iter: 86310/160000, loss: 0.0583, lr: 0.000028, batch_cost: 1.6875, reader_cost: 0.32459, ips: 1.1852 samples/sec | ETA 34:32:32 2021-08-22 19:11:59 [INFO] [TRAIN] epoch: 233, iter: 86320/160000, loss: 0.0582, lr: 0.000028, batch_cost: 1.3405, reader_cost: 0.00085, ips: 1.4920 samples/sec | ETA 27:26:08 2021-08-22 19:12:12 [INFO] [TRAIN] epoch: 233, iter: 86330/160000, loss: 0.0604, lr: 0.000028, batch_cost: 1.3156, reader_cost: 0.00024, ips: 1.5203 samples/sec | ETA 26:55:17 2021-08-22 19:12:25 [INFO] [TRAIN] epoch: 233, iter: 86340/160000, loss: 0.0555, lr: 0.000028, batch_cost: 1.3276, reader_cost: 0.00023, ips: 1.5065 samples/sec | ETA 27:09:48 2021-08-22 19:12:38 [INFO] [TRAIN] epoch: 233, iter: 86350/160000, loss: 0.0565, lr: 0.000028, batch_cost: 1.3289, reader_cost: 0.00060, ips: 1.5050 samples/sec | ETA 27:11:15 2021-08-22 19:12:51 [INFO] [TRAIN] epoch: 233, iter: 86360/160000, loss: 0.0598, lr: 0.000028, batch_cost: 1.3105, reader_cost: 0.00026, ips: 1.5261 samples/sec | ETA 26:48:25 2021-08-22 19:13:05 [INFO] [TRAIN] epoch: 233, iter: 86370/160000, loss: 0.0508, lr: 0.000028, batch_cost: 1.3151, reader_cost: 0.00024, ips: 1.5208 samples/sec | ETA 26:53:51 2021-08-22 19:13:18 [INFO] [TRAIN] epoch: 233, iter: 86380/160000, loss: 0.0611, lr: 0.000028, batch_cost: 1.3249, reader_cost: 0.00045, ips: 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[TRAIN] epoch: 233, iter: 86500/160000, loss: 0.0528, lr: 0.000028, batch_cost: 1.3088, reader_cost: 0.00025, ips: 1.5281 samples/sec | ETA 26:43:15 2021-08-22 19:16:09 [INFO] [TRAIN] epoch: 233, iter: 86510/160000, loss: 0.0586, lr: 0.000028, batch_cost: 1.3237, reader_cost: 0.00123, ips: 1.5109 samples/sec | ETA 27:01:22 2021-08-22 19:16:23 [INFO] [TRAIN] epoch: 233, iter: 86520/160000, loss: 0.0808, lr: 0.000028, batch_cost: 1.3404, reader_cost: 0.00025, ips: 1.4921 samples/sec | ETA 27:21:28 2021-08-22 19:16:36 [INFO] [TRAIN] epoch: 233, iter: 86530/160000, loss: 0.0536, lr: 0.000028, batch_cost: 1.3339, reader_cost: 0.00025, ips: 1.4994 samples/sec | ETA 27:13:19 2021-08-22 19:16:49 [INFO] [TRAIN] epoch: 233, iter: 86540/160000, loss: 0.0654, lr: 0.000028, batch_cost: 1.3198, reader_cost: 0.00025, ips: 1.5154 samples/sec | ETA 26:55:50 2021-08-22 19:17:02 [INFO] [TRAIN] epoch: 233, iter: 86550/160000, loss: 0.0537, lr: 0.000028, batch_cost: 1.3148, reader_cost: 0.00024, ips: 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[TRAIN] epoch: 233, iter: 86670/160000, loss: 0.0602, lr: 0.000027, batch_cost: 1.2694, reader_cost: 0.00021, ips: 1.5755 samples/sec | ETA 25:51:27 2021-08-22 19:19:56 [INFO] [TRAIN] epoch: 234, iter: 86680/160000, loss: 0.0602, lr: 0.000027, batch_cost: 1.6358, reader_cost: 0.29820, ips: 1.2226 samples/sec | ETA 33:18:57 2021-08-22 19:20:09 [INFO] [TRAIN] epoch: 234, iter: 86690/160000, loss: 0.0598, lr: 0.000027, batch_cost: 1.3119, reader_cost: 0.00100, ips: 1.5244 samples/sec | ETA 26:42:58 2021-08-22 19:20:22 [INFO] [TRAIN] epoch: 234, iter: 86700/160000, loss: 0.0522, lr: 0.000027, batch_cost: 1.3116, reader_cost: 0.00026, ips: 1.5248 samples/sec | ETA 26:42:22 2021-08-22 19:20:35 [INFO] [TRAIN] epoch: 234, iter: 86710/160000, loss: 0.0556, lr: 0.000027, batch_cost: 1.3061, reader_cost: 0.00028, ips: 1.5313 samples/sec | ETA 26:35:25 2021-08-22 19:20:48 [INFO] [TRAIN] epoch: 234, iter: 86720/160000, loss: 0.0598, lr: 0.000027, batch_cost: 1.3242, reader_cost: 0.00025, ips: 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[TRAIN] epoch: 234, iter: 86840/160000, loss: 0.0544, lr: 0.000027, batch_cost: 1.3056, reader_cost: 0.00024, ips: 1.5319 samples/sec | ETA 26:31:54 2021-08-22 19:23:40 [INFO] [TRAIN] epoch: 234, iter: 86850/160000, loss: 0.0565, lr: 0.000027, batch_cost: 1.2903, reader_cost: 0.00023, ips: 1.5500 samples/sec | ETA 26:13:07 2021-08-22 19:23:52 [INFO] [TRAIN] epoch: 234, iter: 86860/160000, loss: 0.0768, lr: 0.000027, batch_cost: 1.2537, reader_cost: 0.00023, ips: 1.5953 samples/sec | ETA 25:28:13 2021-08-22 19:24:04 [INFO] [TRAIN] epoch: 234, iter: 86870/160000, loss: 0.0555, lr: 0.000027, batch_cost: 1.2323, reader_cost: 0.00019, ips: 1.6230 samples/sec | ETA 25:01:56 2021-08-22 19:24:17 [INFO] [TRAIN] epoch: 234, iter: 86880/160000, loss: 0.0502, lr: 0.000027, batch_cost: 1.2409, reader_cost: 0.00021, ips: 1.6118 samples/sec | ETA 25:12:11 2021-08-22 19:24:29 [INFO] [TRAIN] epoch: 234, iter: 86890/160000, loss: 0.0574, lr: 0.000027, batch_cost: 1.2428, reader_cost: 0.00019, ips: 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[TRAIN] epoch: 234, iter: 87010/160000, loss: 0.0563, lr: 0.000027, batch_cost: 1.3192, reader_cost: 0.00026, ips: 1.5161 samples/sec | ETA 26:44:44 2021-08-22 19:27:17 [INFO] [TRAIN] epoch: 234, iter: 87020/160000, loss: 0.0679, lr: 0.000027, batch_cost: 1.3136, reader_cost: 0.00145, ips: 1.5226 samples/sec | ETA 26:37:43 2021-08-22 19:27:30 [INFO] [TRAIN] epoch: 234, iter: 87030/160000, loss: 0.0614, lr: 0.000027, batch_cost: 1.2995, reader_cost: 0.00024, ips: 1.5390 samples/sec | ETA 26:20:24 2021-08-22 19:27:43 [INFO] [TRAIN] epoch: 234, iter: 87040/160000, loss: 0.0579, lr: 0.000027, batch_cost: 1.3114, reader_cost: 0.00019, ips: 1.5250 samples/sec | ETA 26:34:42 2021-08-22 19:27:59 [INFO] [TRAIN] epoch: 235, iter: 87050/160000, loss: 0.0475, lr: 0.000027, batch_cost: 1.6497, reader_cost: 0.25143, ips: 1.2124 samples/sec | ETA 33:25:43 2021-08-22 19:28:12 [INFO] [TRAIN] epoch: 235, iter: 87060/160000, loss: 0.0590, lr: 0.000027, batch_cost: 1.3256, reader_cost: 0.00159, ips: 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[TRAIN] epoch: 235, iter: 87180/160000, loss: 0.0879, lr: 0.000027, batch_cost: 1.3244, reader_cost: 0.00102, ips: 1.5101 samples/sec | ETA 26:47:20 2021-08-22 19:31:03 [INFO] [TRAIN] epoch: 235, iter: 87190/160000, loss: 0.0636, lr: 0.000027, batch_cost: 1.3259, reader_cost: 0.00027, ips: 1.5084 samples/sec | ETA 26:48:57 2021-08-22 19:31:16 [INFO] [TRAIN] epoch: 235, iter: 87200/160000, loss: 0.0556, lr: 0.000027, batch_cost: 1.2975, reader_cost: 0.00024, ips: 1.5414 samples/sec | ETA 26:14:19 2021-08-22 19:31:29 [INFO] [TRAIN] epoch: 235, iter: 87210/160000, loss: 0.0552, lr: 0.000027, batch_cost: 1.3113, reader_cost: 0.00080, ips: 1.5252 samples/sec | ETA 26:30:52 2021-08-22 19:31:42 [INFO] [TRAIN] epoch: 235, iter: 87220/160000, loss: 0.0607, lr: 0.000027, batch_cost: 1.3178, reader_cost: 0.00027, ips: 1.5177 samples/sec | ETA 26:38:29 2021-08-22 19:31:56 [INFO] [TRAIN] epoch: 235, iter: 87230/160000, loss: 0.0535, lr: 0.000027, batch_cost: 1.3343, reader_cost: 0.00023, ips: 1.4989 samples/sec | ETA 26:58:18 2021-08-22 19:32:09 [INFO] [TRAIN] epoch: 235, iter: 87240/160000, loss: 0.0551, lr: 0.000027, batch_cost: 1.3294, reader_cost: 0.00024, ips: 1.5045 samples/sec | ETA 26:52:05 2021-08-22 19:32:22 [INFO] [TRAIN] epoch: 235, iter: 87250/160000, loss: 0.0557, lr: 0.000027, batch_cost: 1.3068, reader_cost: 0.00115, ips: 1.5305 samples/sec | ETA 26:24:27 2021-08-22 19:32:35 [INFO] [TRAIN] epoch: 235, iter: 87260/160000, loss: 0.0515, lr: 0.000027, batch_cost: 1.3175, reader_cost: 0.00054, ips: 1.5180 samples/sec | ETA 26:37:16 2021-08-22 19:32:48 [INFO] [TRAIN] epoch: 235, iter: 87270/160000, loss: 0.0576, lr: 0.000027, batch_cost: 1.3222, reader_cost: 0.00024, ips: 1.5126 samples/sec | ETA 26:42:42 2021-08-22 19:33:01 [INFO] [TRAIN] epoch: 235, iter: 87280/160000, loss: 0.0637, lr: 0.000027, batch_cost: 1.3091, reader_cost: 0.00024, ips: 1.5278 samples/sec | ETA 26:26:36 2021-08-22 19:33:15 [INFO] [TRAIN] epoch: 235, iter: 87290/160000, loss: 0.0563, lr: 0.000027, batch_cost: 1.3211, reader_cost: 0.00025, ips: 1.5139 samples/sec | ETA 26:40:56 2021-08-22 19:33:28 [INFO] [TRAIN] epoch: 235, iter: 87300/160000, loss: 0.0570, lr: 0.000027, batch_cost: 1.3174, reader_cost: 0.00026, ips: 1.5181 samples/sec | ETA 26:36:16 2021-08-22 19:33:41 [INFO] [TRAIN] epoch: 235, iter: 87310/160000, loss: 0.0551, lr: 0.000027, batch_cost: 1.3242, reader_cost: 0.00027, ips: 1.5104 samples/sec | ETA 26:44:14 2021-08-22 19:33:54 [INFO] [TRAIN] epoch: 235, iter: 87320/160000, loss: 0.0526, lr: 0.000027, batch_cost: 1.3282, reader_cost: 0.00034, ips: 1.5057 samples/sec | ETA 26:48:56 2021-08-22 19:34:08 [INFO] [TRAIN] epoch: 235, iter: 87330/160000, loss: 0.0627, lr: 0.000027, batch_cost: 1.3342, reader_cost: 0.00026, ips: 1.4990 samples/sec | ETA 26:55:57 2021-08-22 19:34:21 [INFO] [TRAIN] epoch: 235, iter: 87340/160000, loss: 0.0521, lr: 0.000027, batch_cost: 1.3242, reader_cost: 0.00041, ips: 1.5103 samples/sec | ETA 26:43:36 2021-08-22 19:34:34 [INFO] [TRAIN] epoch: 235, iter: 87350/160000, loss: 0.0535, lr: 0.000027, batch_cost: 1.3202, reader_cost: 0.00029, ips: 1.5150 samples/sec | ETA 26:38:29 2021-08-22 19:34:48 [INFO] [TRAIN] epoch: 235, iter: 87360/160000, loss: 0.0567, lr: 0.000027, batch_cost: 1.3360, reader_cost: 0.00024, ips: 1.4970 samples/sec | ETA 26:57:30 2021-08-22 19:35:01 [INFO] [TRAIN] epoch: 235, iter: 87370/160000, loss: 0.0548, lr: 0.000027, batch_cost: 1.3350, reader_cost: 0.00029, ips: 1.4981 samples/sec | ETA 26:56:02 2021-08-22 19:35:14 [INFO] [TRAIN] epoch: 235, iter: 87380/160000, loss: 0.0528, lr: 0.000027, batch_cost: 1.3033, reader_cost: 0.00024, ips: 1.5346 samples/sec | ETA 26:17:24 2021-08-22 19:35:27 [INFO] [TRAIN] epoch: 235, iter: 87390/160000, loss: 0.0652, lr: 0.000027, batch_cost: 1.3138, reader_cost: 0.00167, ips: 1.5223 samples/sec | ETA 26:29:55 2021-08-22 19:35:40 [INFO] [TRAIN] epoch: 235, iter: 87400/160000, loss: 0.0533, lr: 0.000027, batch_cost: 1.3144, reader_cost: 0.00026, ips: 1.5216 samples/sec | ETA 26:30:27 2021-08-22 19:35:53 [INFO] [TRAIN] epoch: 235, iter: 87410/160000, loss: 0.0577, lr: 0.000027, batch_cost: 1.2916, reader_cost: 0.00156, ips: 1.5484 samples/sec | ETA 26:02:40 2021-08-22 19:36:06 [INFO] [TRAIN] epoch: 235, iter: 87420/160000, loss: 0.0632, lr: 0.000027, batch_cost: 1.2541, reader_cost: 0.00017, ips: 1.5948 samples/sec | ETA 25:17:02 2021-08-22 19:36:23 [INFO] [TRAIN] epoch: 236, iter: 87430/160000, loss: 0.0716, lr: 0.000027, batch_cost: 1.6866, reader_cost: 0.24003, ips: 1.1858 samples/sec | ETA 33:59:57 2021-08-22 19:36:36 [INFO] [TRAIN] epoch: 236, iter: 87440/160000, loss: 0.0543, lr: 0.000027, batch_cost: 1.3402, reader_cost: 0.00076, ips: 1.4923 samples/sec | ETA 27:00:45 2021-08-22 19:36:49 [INFO] [TRAIN] epoch: 236, iter: 87450/160000, loss: 0.0468, lr: 0.000027, batch_cost: 1.3060, reader_cost: 0.00158, ips: 1.5314 samples/sec | ETA 26:19:10 2021-08-22 19:37:02 [INFO] [TRAIN] epoch: 236, iter: 87460/160000, loss: 0.0768, lr: 0.000027, batch_cost: 1.3160, reader_cost: 0.00025, ips: 1.5198 samples/sec | ETA 26:31:00 2021-08-22 19:37:15 [INFO] [TRAIN] epoch: 236, iter: 87470/160000, loss: 0.0569, lr: 0.000027, batch_cost: 1.2956, reader_cost: 0.00153, ips: 1.5437 samples/sec | ETA 26:06:08 2021-08-22 19:37:28 [INFO] [TRAIN] epoch: 236, iter: 87480/160000, loss: 0.0596, lr: 0.000027, batch_cost: 1.3223, reader_cost: 0.00022, ips: 1.5125 samples/sec | ETA 26:38:11 2021-08-22 19:37:41 [INFO] [TRAIN] epoch: 236, iter: 87490/160000, loss: 0.0634, lr: 0.000027, batch_cost: 1.2758, reader_cost: 0.00024, ips: 1.5677 samples/sec | ETA 25:41:47 2021-08-22 19:37:54 [INFO] [TRAIN] epoch: 236, iter: 87500/160000, loss: 0.0560, lr: 0.000027, batch_cost: 1.2776, reader_cost: 0.00077, ips: 1.5655 samples/sec | ETA 25:43:44 2021-08-22 19:38:07 [INFO] [TRAIN] epoch: 236, iter: 87510/160000, loss: 0.0602, lr: 0.000027, batch_cost: 1.2645, reader_cost: 0.00023, ips: 1.5816 samples/sec | ETA 25:27:45 2021-08-22 19:38:19 [INFO] [TRAIN] epoch: 236, iter: 87520/160000, loss: 0.0494, lr: 0.000027, batch_cost: 1.2885, reader_cost: 0.00024, ips: 1.5522 samples/sec | ETA 25:56:27 2021-08-22 19:38:32 [INFO] [TRAIN] epoch: 236, iter: 87530/160000, loss: 0.0632, lr: 0.000027, batch_cost: 1.2316, reader_cost: 0.00023, ips: 1.6238 samples/sec | ETA 24:47:37 2021-08-22 19:38:44 [INFO] [TRAIN] epoch: 236, iter: 87540/160000, loss: 0.0536, lr: 0.000027, batch_cost: 1.2610, reader_cost: 0.00021, ips: 1.5860 samples/sec | ETA 25:22:53 2021-08-22 19:38:57 [INFO] [TRAIN] epoch: 236, iter: 87550/160000, loss: 0.0669, lr: 0.000027, batch_cost: 1.2830, reader_cost: 0.00022, ips: 1.5589 samples/sec | ETA 25:49:12 2021-08-22 19:39:10 [INFO] [TRAIN] epoch: 236, iter: 87560/160000, loss: 0.0498, lr: 0.000027, batch_cost: 1.2935, reader_cost: 0.00025, ips: 1.5461 samples/sec | ETA 26:01:43 2021-08-22 19:39:23 [INFO] [TRAIN] epoch: 236, iter: 87570/160000, loss: 0.0625, lr: 0.000027, batch_cost: 1.2832, reader_cost: 0.00023, ips: 1.5586 samples/sec | ETA 25:49:03 2021-08-22 19:39:35 [INFO] [TRAIN] epoch: 236, iter: 87580/160000, loss: 0.0560, lr: 0.000027, batch_cost: 1.2479, reader_cost: 0.00021, ips: 1.6027 samples/sec | ETA 25:06:10 2021-08-22 19:39:48 [INFO] [TRAIN] epoch: 236, iter: 87590/160000, loss: 0.0663, lr: 0.000027, batch_cost: 1.2395, reader_cost: 0.00020, ips: 1.6136 samples/sec | ETA 24:55:51 2021-08-22 19:40:00 [INFO] [TRAIN] epoch: 236, iter: 87600/160000, loss: 0.0577, lr: 0.000027, batch_cost: 1.2348, reader_cost: 0.00022, ips: 1.6197 samples/sec | ETA 24:49:58 2021-08-22 19:40:12 [INFO] [TRAIN] epoch: 236, iter: 87610/160000, loss: 0.0673, lr: 0.000027, batch_cost: 1.2259, reader_cost: 0.00020, ips: 1.6315 samples/sec | ETA 24:39:02 2021-08-22 19:40:25 [INFO] [TRAIN] epoch: 236, iter: 87620/160000, loss: 0.0635, lr: 0.000027, batch_cost: 1.2189, reader_cost: 0.00020, ips: 1.6409 samples/sec | ETA 24:30:21 2021-08-22 19:40:37 [INFO] [TRAIN] epoch: 236, iter: 87630/160000, loss: 0.0521, lr: 0.000027, batch_cost: 1.2260, reader_cost: 0.00020, ips: 1.6313 samples/sec | ETA 24:38:46 2021-08-22 19:40:49 [INFO] [TRAIN] epoch: 236, iter: 87640/160000, loss: 0.0458, lr: 0.000027, batch_cost: 1.2144, reader_cost: 0.00022, ips: 1.6469 samples/sec | ETA 24:24:36 2021-08-22 19:41:01 [INFO] [TRAIN] epoch: 236, iter: 87650/160000, loss: 0.0560, lr: 0.000027, batch_cost: 1.2370, reader_cost: 0.00021, ips: 1.6169 samples/sec | ETA 24:51:34 2021-08-22 19:41:14 [INFO] [TRAIN] epoch: 236, iter: 87660/160000, loss: 0.0514, lr: 0.000027, batch_cost: 1.2261, reader_cost: 0.00020, ips: 1.6312 samples/sec | ETA 24:38:12 2021-08-22 19:41:26 [INFO] [TRAIN] epoch: 236, iter: 87670/160000, loss: 0.0568, lr: 0.000027, batch_cost: 1.2307, reader_cost: 0.00019, ips: 1.6251 samples/sec | ETA 24:43:38 2021-08-22 19:41:38 [INFO] [TRAIN] epoch: 236, iter: 87680/160000, loss: 0.0640, lr: 0.000027, batch_cost: 1.2261, reader_cost: 0.00020, ips: 1.6312 samples/sec | ETA 24:37:52 2021-08-22 19:41:50 [INFO] [TRAIN] epoch: 236, iter: 87690/160000, loss: 0.0660, lr: 0.000027, batch_cost: 1.2060, reader_cost: 0.00022, ips: 1.6583 samples/sec | ETA 24:13:28 2021-08-22 19:42:02 [INFO] [TRAIN] epoch: 236, iter: 87700/160000, loss: 0.0631, lr: 0.000027, batch_cost: 1.2199, reader_cost: 0.00021, ips: 1.6394 samples/sec | ETA 24:30:02 2021-08-22 19:42:15 [INFO] [TRAIN] epoch: 236, iter: 87710/160000, loss: 0.0486, lr: 0.000027, batch_cost: 1.2374, reader_cost: 0.00021, ips: 1.6163 samples/sec | ETA 24:50:53 2021-08-22 19:42:27 [INFO] [TRAIN] epoch: 236, iter: 87720/160000, loss: 0.0502, lr: 0.000027, batch_cost: 1.2358, reader_cost: 0.00022, ips: 1.6184 samples/sec | ETA 24:48:42 2021-08-22 19:42:39 [INFO] [TRAIN] epoch: 236, iter: 87730/160000, loss: 0.0610, lr: 0.000027, batch_cost: 1.2138, reader_cost: 0.00021, ips: 1.6477 samples/sec | ETA 24:22:01 2021-08-22 19:42:52 [INFO] [TRAIN] epoch: 236, iter: 87740/160000, loss: 0.0563, lr: 0.000027, batch_cost: 1.2166, reader_cost: 0.00021, ips: 1.6439 samples/sec | ETA 24:25:13 2021-08-22 19:43:04 [INFO] [TRAIN] epoch: 236, iter: 87750/160000, loss: 0.0531, lr: 0.000027, batch_cost: 1.2077, reader_cost: 0.00020, ips: 1.6560 samples/sec | ETA 24:14:15 2021-08-22 19:43:16 [INFO] [TRAIN] epoch: 236, iter: 87760/160000, loss: 0.0583, lr: 0.000027, batch_cost: 1.2236, reader_cost: 0.00020, ips: 1.6345 samples/sec | ETA 24:33:14 2021-08-22 19:43:28 [INFO] [TRAIN] epoch: 236, iter: 87770/160000, loss: 0.0493, lr: 0.000027, batch_cost: 1.2165, reader_cost: 0.00021, ips: 1.6441 samples/sec | ETA 24:24:25 2021-08-22 19:43:40 [INFO] [TRAIN] epoch: 236, iter: 87780/160000, loss: 0.0580, lr: 0.000027, batch_cost: 1.2370, reader_cost: 0.00021, ips: 1.6168 samples/sec | ETA 24:48:58 2021-08-22 19:43:52 [INFO] [TRAIN] epoch: 236, iter: 87790/160000, loss: 0.0615, lr: 0.000027, batch_cost: 1.1795, reader_cost: 0.00015, ips: 1.6956 samples/sec | ETA 23:39:35 2021-08-22 19:44:07 [INFO] [TRAIN] epoch: 237, iter: 87800/160000, loss: 0.0509, lr: 0.000027, batch_cost: 1.5179, reader_cost: 0.17092, ips: 1.3176 samples/sec | ETA 30:26:33 2021-08-22 19:44:20 [INFO] [TRAIN] epoch: 237, iter: 87810/160000, loss: 0.0600, lr: 0.000027, batch_cost: 1.2251, reader_cost: 0.00071, ips: 1.6326 samples/sec | ETA 24:33:57 2021-08-22 19:44:32 [INFO] [TRAIN] epoch: 237, iter: 87820/160000, loss: 0.0658, lr: 0.000027, batch_cost: 1.2319, reader_cost: 0.00024, ips: 1.6235 samples/sec | ETA 24:41:57 2021-08-22 19:44:44 [INFO] [TRAIN] epoch: 237, iter: 87830/160000, loss: 0.0611, lr: 0.000027, batch_cost: 1.2314, reader_cost: 0.00022, ips: 1.6242 samples/sec | ETA 24:41:07 2021-08-22 19:44:57 [INFO] [TRAIN] epoch: 237, iter: 87840/160000, loss: 0.0572, lr: 0.000027, batch_cost: 1.2415, reader_cost: 0.00075, ips: 1.6109 samples/sec | ETA 24:53:07 2021-08-22 19:45:09 [INFO] [TRAIN] epoch: 237, iter: 87850/160000, loss: 0.0494, lr: 0.000027, batch_cost: 1.2150, reader_cost: 0.00023, ips: 1.6461 samples/sec | ETA 24:21:02 2021-08-22 19:45:21 [INFO] [TRAIN] epoch: 237, iter: 87860/160000, loss: 0.0617, lr: 0.000027, batch_cost: 1.2333, reader_cost: 0.00021, ips: 1.6217 samples/sec | ETA 24:42:47 2021-08-22 19:45:33 [INFO] [TRAIN] epoch: 237, iter: 87870/160000, loss: 0.0528, lr: 0.000027, batch_cost: 1.2354, reader_cost: 0.00022, ips: 1.6189 samples/sec | ETA 24:45:07 2021-08-22 19:45:46 [INFO] [TRAIN] epoch: 237, iter: 87880/160000, loss: 0.0664, lr: 0.000027, batch_cost: 1.2251, reader_cost: 0.00024, ips: 1.6325 samples/sec | ETA 24:32:34 2021-08-22 19:45:58 [INFO] [TRAIN] epoch: 237, iter: 87890/160000, loss: 0.0528, lr: 0.000027, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6359 samples/sec | ETA 24:29:21 2021-08-22 19:46:10 [INFO] [TRAIN] epoch: 237, iter: 87900/160000, loss: 0.0522, lr: 0.000027, batch_cost: 1.2263, reader_cost: 0.00023, ips: 1.6310 samples/sec | ETA 24:33:32 2021-08-22 19:46:23 [INFO] [TRAIN] epoch: 237, iter: 87910/160000, loss: 0.0563, lr: 0.000027, batch_cost: 1.2309, reader_cost: 0.00021, ips: 1.6249 samples/sec | ETA 24:38:53 2021-08-22 19:46:35 [INFO] [TRAIN] epoch: 237, iter: 87920/160000, loss: 0.0693, lr: 0.000027, batch_cost: 1.2176, reader_cost: 0.00022, ips: 1.6426 samples/sec | ETA 24:22:44 2021-08-22 19:46:47 [INFO] [TRAIN] epoch: 237, iter: 87930/160000, loss: 0.0492, lr: 0.000027, batch_cost: 1.2266, reader_cost: 0.00021, ips: 1.6305 samples/sec | ETA 24:33:20 2021-08-22 19:46:59 [INFO] [TRAIN] epoch: 237, iter: 87940/160000, loss: 0.0551, lr: 0.000027, batch_cost: 1.2364, reader_cost: 0.00022, ips: 1.6177 samples/sec | ETA 24:44:51 2021-08-22 19:47:12 [INFO] [TRAIN] epoch: 237, iter: 87950/160000, loss: 0.0535, lr: 0.000027, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6389 samples/sec | ETA 24:25:26 2021-08-22 19:47:24 [INFO] [TRAIN] epoch: 237, iter: 87960/160000, loss: 0.0564, lr: 0.000027, batch_cost: 1.2265, reader_cost: 0.00023, ips: 1.6307 samples/sec | ETA 24:32:35 2021-08-22 19:47:36 [INFO] [TRAIN] epoch: 237, iter: 87970/160000, loss: 0.0589, lr: 0.000027, batch_cost: 1.2328, reader_cost: 0.00021, ips: 1.6224 samples/sec | ETA 24:39:55 2021-08-22 19:47:48 [INFO] [TRAIN] epoch: 237, iter: 87980/160000, loss: 0.0630, lr: 0.000027, batch_cost: 1.2340, reader_cost: 0.00023, ips: 1.6207 samples/sec | ETA 24:41:13 2021-08-22 19:48:01 [INFO] [TRAIN] epoch: 237, iter: 87990/160000, loss: 0.0607, lr: 0.000027, batch_cost: 1.2401, reader_cost: 0.00021, ips: 1.6128 samples/sec | ETA 24:48:16 2021-08-22 19:48:13 [INFO] [TRAIN] epoch: 237, iter: 88000/160000, loss: 0.0589, lr: 0.000027, batch_cost: 1.2267, reader_cost: 0.00021, ips: 1.6304 samples/sec | ETA 24:32:03 2021-08-22 19:48:13 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 5:58 - batch_cost: 2.8880 - reader cost: 0.4083 2/125 [..............................] - ETA: 5:12 - batch_cost: 2.5397 - reader cost: 0.2042 3/125 [..............................] - ETA: 5:06 - batch_cost: 2.5089 - reader cost: 0.1362 4/125 [..............................] - ETA: 4:48 - batch_cost: 2.3864 - reader cost: 0.1022 5/125 [>.............................] - ETA: 4:40 - batch_cost: 2.3352 - reader cost: 0.0818 6/125 [>.............................] - ETA: 4:32 - batch_cost: 2.2912 - reader cost: 0.0682 7/125 [>.............................] - ETA: 4:26 - batch_cost: 2.2609 - reader cost: 0.0585 8/125 [>.............................] - ETA: 4:22 - batch_cost: 2.2394 - reader cost: 0.0512 9/125 [=>............................] - ETA: 4:17 - batch_cost: 2.2193 - reader cost: 0.0456 10/125 [=>............................] - ETA: 4:13 - batch_cost: 2.2072 - reader cost: 0.0410 11/125 [=>............................] - ETA: 4:10 - batch_cost: 2.1962 - reader cost: 0.0373 12/125 [=>............................] - ETA: 4:07 - batch_cost: 2.1900 - reader cost: 0.0342 13/125 [==>...........................] - ETA: 4:04 - batch_cost: 2.1846 - reader cost: 0.0316 14/125 [==>...........................] - ETA: 4:01 - batch_cost: 2.1790 - reader cost: 0.0294 15/125 [==>...........................] - ETA: 3:59 - batch_cost: 2.1731 - reader cost: 0.0274 16/125 [==>...........................] - ETA: 3:56 - batch_cost: 2.1651 - reader cost: 0.0257 17/125 [===>..........................] - ETA: 3:53 - batch_cost: 2.1653 - reader cost: 0.0242 18/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.1598 - reader cost: 0.0229 19/125 [===>..........................] - ETA: 3:48 - batch_cost: 2.1590 - reader cost: 0.0217 20/125 [===>..........................] - ETA: 3:46 - batch_cost: 2.1555 - reader cost: 0.0206 21/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.1525 - reader cost: 0.0196 22/125 [====>.........................] - ETA: 3:41 - batch_cost: 2.1507 - reader cost: 0.0188 23/125 [====>.........................] - ETA: 3:38 - batch_cost: 2.1464 - reader cost: 0.0179 24/125 [====>.........................] - ETA: 3:36 - batch_cost: 2.1449 - reader cost: 0.0172 25/125 [=====>........................] - ETA: 3:34 - batch_cost: 2.1421 - reader cost: 0.0165 26/125 [=====>........................] - ETA: 3:31 - batch_cost: 2.1403 - reader cost: 0.0159 27/125 [=====>........................] - ETA: 3:29 - batch_cost: 2.1381 - reader cost: 0.0153 28/125 [=====>........................] - ETA: 3:27 - batch_cost: 2.1357 - reader cost: 0.0148 29/125 [=====>........................] - ETA: 3:25 - batch_cost: 2.1358 - reader cost: 0.0143 30/125 [======>.......................] - ETA: 3:22 - batch_cost: 2.1341 - reader cost: 0.0138 31/125 [======>.......................] - ETA: 3:20 - batch_cost: 2.1317 - reader cost: 0.0134 32/125 [======>.......................] - ETA: 3:18 - batch_cost: 2.1296 - reader cost: 0.0130 33/125 [======>.......................] - ETA: 3:15 - batch_cost: 2.1274 - reader cost: 0.0126 34/125 [=======>......................] - ETA: 3:13 - batch_cost: 2.1266 - reader cost: 0.0122 35/125 [=======>......................] - ETA: 3:11 - batch_cost: 2.1265 - reader cost: 0.0119 36/125 [=======>......................] - ETA: 3:09 - batch_cost: 2.1267 - reader cost: 0.0115 37/125 [=======>......................] - ETA: 3:07 - batch_cost: 2.1259 - reader cost: 0.0112 38/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1260 - reader cost: 0.0109 39/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1245 - reader cost: 0.0107 40/125 [========>.....................] - ETA: 3:00 - batch_cost: 2.1230 - reader cost: 0.0104 41/125 [========>.....................] - ETA: 2:58 - batch_cost: 2.1214 - reader cost: 0.0102 42/125 [=========>....................] - ETA: 2:56 - batch_cost: 2.1205 - reader cost: 0.0099 43/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1192 - reader cost: 0.0097 44/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1177 - reader cost: 0.0095 45/125 [=========>....................] - ETA: 2:49 - batch_cost: 2.1166 - reader cost: 0.0093 46/125 [==========>...................] - ETA: 2:47 - batch_cost: 2.1154 - reader cost: 0.0091 47/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1148 - reader cost: 0.0089 48/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1149 - reader cost: 0.0087 49/125 [==========>...................] - ETA: 2:40 - batch_cost: 2.1134 - reader cost: 0.0085 50/125 [===========>..................] - ETA: 2:38 - batch_cost: 2.1131 - reader cost: 0.0084 51/125 [===========>..................] - ETA: 2:36 - batch_cost: 2.1122 - reader cost: 0.0082 52/125 [===========>..................] - ETA: 2:34 - batch_cost: 2.1114 - reader cost: 0.0080 53/125 [===========>..................] - ETA: 2:32 - batch_cost: 2.1109 - reader cost: 0.0079 54/125 [===========>..................] - ETA: 2:29 - batch_cost: 2.1100 - reader cost: 0.0078 55/125 [============>.................] - ETA: 2:27 - batch_cost: 2.1088 - reader cost: 0.0076 56/125 [============>.................] - ETA: 2:25 - 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[===============>..............] - ETA: 2:02 - batch_cost: 2.1060 - reader cost: 0.0063 68/125 [===============>..............] - ETA: 2:00 - batch_cost: 2.1058 - reader cost: 0.0062 69/125 [===============>..............] - ETA: 1:57 - batch_cost: 2.1064 - reader cost: 0.0061 70/125 [===============>..............] - ETA: 1:55 - batch_cost: 2.1066 - reader cost: 0.0060 71/125 [================>.............] - ETA: 1:53 - batch_cost: 2.1063 - reader cost: 0.0059 72/125 [================>.............] - ETA: 1:51 - batch_cost: 2.1053 - reader cost: 0.0059 73/125 [================>.............] - ETA: 1:49 - batch_cost: 2.1052 - reader cost: 0.0058 74/125 [================>.............] - ETA: 1:47 - batch_cost: 2.1040 - reader cost: 0.0057 75/125 [=================>............] - ETA: 1:45 - batch_cost: 2.1056 - reader cost: 0.0056 76/125 [=================>............] - ETA: 1:43 - batch_cost: 2.1060 - reader cost: 0.0056 77/125 [=================>............] - ETA: 1:41 - 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[====================>.........] - ETA: 1:17 - batch_cost: 2.1042 - reader cost: 0.0048 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.1044 - reader cost: 0.0048 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.1040 - reader cost: 0.0047 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.1039 - reader cost: 0.0047 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1030 - reader cost: 0.0046 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1032 - reader cost: 0.0046 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1032 - reader cost: 0.0045 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1028 - reader cost: 0.0045 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.1028 - reader cost: 0.0045 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.1027 - reader cost: 0.0044  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.1026 - reader cost: 0.0044 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.1023 - reader cost: 0.0043 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.1021 - reader cost: 0.0043 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.1018 - reader cost: 0.0042 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1017 - reader cost: 0.0042 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1016 - reader cost: 0.0042 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1017 - reader cost: 0.0041 105/125 [========================>.....] - ETA: 42s - batch_cost: 2.1015 - reader cost: 0.0041 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.1008 - reader cost: 0.0041 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.1009 - reader cost: 0.0040 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.1009 - reader cost: 0.0040 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.1009 - reader cost: 0.0039 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.1009 - reader cost: 0.0039 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.1010 - reader cost: 0.0039 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.1009 - reader cost: 0.0038 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.1006 - reader cost: 0.0038 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.1005 - reader cost: 0.0038 115/125 [==========================>...] - ETA: 21s - batch_cost: 2.1003 - reader cost: 0.0037 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.1001 - reader cost: 0.0037 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.1002 - reader cost: 0.0037 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.1000 - reader cost: 0.0037 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0996 - reader cost: 0.0036 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0992 - reader cost: 0.0036 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0988 - reader cost: 0.0036  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0988 - reader cost: 0.0035 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0986 - reader cost: 0.0035 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0981 - reader cost: 0.0035 125/125 [==============================] - 262s 2s/step - batch_cost: 2.0978 - reader cost: 0.0035 2021-08-22 19:52:36 [INFO] [EVAL] #Images: 500 mIoU: 0.8183 Acc: 0.9665 Kappa: 0.9566 2021-08-22 19:52:36 [INFO] [EVAL] Class IoU: [0.9843 0.8715 0.9369 0.6626 0.6425 0.6931 0.7545 0.8195 0.9312 0.6434 0.9574 0.8445 0.6723 0.958 0.882 0.9075 0.874 0.7159 0.7962] 2021-08-22 19:52:36 [INFO] [EVAL] Class Acc: [0.993 0.9229 0.9673 0.8416 0.8666 0.8315 0.8634 0.9047 0.9593 0.8173 0.9753 0.8986 0.8085 0.9749 0.9501 0.9509 0.9563 0.8485 0.875 ] 2021-08-22 19:52:38 [INFO] [EVAL] The model with the best validation mIoU (0.8194) was saved at iter 84000. 2021-08-22 19:52:50 [INFO] [TRAIN] epoch: 237, iter: 88010/160000, loss: 0.0642, lr: 0.000027, batch_cost: 1.2227, reader_cost: 0.00076, ips: 1.6358 samples/sec | ETA 24:26:58 2021-08-22 19:53:03 [INFO] [TRAIN] epoch: 237, iter: 88020/160000, loss: 0.0612, lr: 0.000027, batch_cost: 1.2320, reader_cost: 0.00022, ips: 1.6233 samples/sec | ETA 24:38:01 2021-08-22 19:53:15 [INFO] [TRAIN] epoch: 237, iter: 88030/160000, loss: 0.0688, lr: 0.000027, batch_cost: 1.2262, reader_cost: 0.00022, ips: 1.6311 samples/sec | ETA 24:30:49 2021-08-22 19:53:27 [INFO] [TRAIN] epoch: 237, iter: 88040/160000, loss: 0.0620, lr: 0.000027, batch_cost: 1.2252, reader_cost: 0.00022, ips: 1.6324 samples/sec | ETA 24:29:27 2021-08-22 19:53:40 [INFO] [TRAIN] epoch: 237, iter: 88050/160000, loss: 0.0561, lr: 0.000027, batch_cost: 1.2302, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 24:35:15 2021-08-22 19:53:52 [INFO] [TRAIN] epoch: 237, iter: 88060/160000, loss: 0.0516, lr: 0.000027, batch_cost: 1.2282, reader_cost: 0.00023, ips: 1.6284 samples/sec | ETA 24:32:34 2021-08-22 19:54:04 [INFO] [TRAIN] epoch: 237, iter: 88070/160000, loss: 0.0718, lr: 0.000027, batch_cost: 1.2314, reader_cost: 0.00021, ips: 1.6242 samples/sec | ETA 24:36:14 2021-08-22 19:54:17 [INFO] [TRAIN] epoch: 237, iter: 88080/160000, loss: 0.0674, lr: 0.000027, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6255 samples/sec | ETA 24:34:50 2021-08-22 19:54:29 [INFO] [TRAIN] epoch: 237, iter: 88090/160000, loss: 0.0558, lr: 0.000027, batch_cost: 1.2608, reader_cost: 0.00024, ips: 1.5863 samples/sec | ETA 25:11:03 2021-08-22 19:54:41 [INFO] [TRAIN] epoch: 237, iter: 88100/160000, loss: 0.0584, lr: 0.000027, batch_cost: 1.2328, reader_cost: 0.00022, ips: 1.6224 samples/sec | ETA 24:37:15 2021-08-22 19:54:54 [INFO] [TRAIN] epoch: 237, iter: 88110/160000, loss: 0.0626, lr: 0.000027, batch_cost: 1.2403, reader_cost: 0.00022, ips: 1.6125 samples/sec | ETA 24:46:04 2021-08-22 19:55:06 [INFO] [TRAIN] epoch: 237, iter: 88120/160000, loss: 0.0809, lr: 0.000027, batch_cost: 1.2483, reader_cost: 0.00022, ips: 1.6021 samples/sec | ETA 24:55:29 2021-08-22 19:55:19 [INFO] [TRAIN] epoch: 237, iter: 88130/160000, loss: 0.0550, lr: 0.000027, batch_cost: 1.2170, reader_cost: 0.00022, ips: 1.6434 samples/sec | ETA 24:17:45 2021-08-22 19:55:31 [INFO] [TRAIN] epoch: 237, iter: 88140/160000, loss: 0.0587, lr: 0.000027, batch_cost: 1.2151, reader_cost: 0.00020, ips: 1.6460 samples/sec | ETA 24:15:15 2021-08-22 19:55:43 [INFO] [TRAIN] epoch: 237, iter: 88150/160000, loss: 0.0597, lr: 0.000027, batch_cost: 1.2257, reader_cost: 0.00021, ips: 1.6317 samples/sec | ETA 24:27:48 2021-08-22 19:55:55 [INFO] [TRAIN] epoch: 237, iter: 88160/160000, loss: 0.0611, lr: 0.000027, batch_cost: 1.1900, reader_cost: 0.00018, ips: 1.6806 samples/sec | ETA 23:44:52 2021-08-22 19:56:09 [INFO] [TRAIN] epoch: 238, iter: 88170/160000, loss: 0.0676, lr: 0.000027, batch_cost: 1.4685, reader_cost: 0.20167, ips: 1.3619 samples/sec | ETA 29:18:04 2021-08-22 19:56:22 [INFO] [TRAIN] epoch: 238, iter: 88180/160000, loss: 0.0594, lr: 0.000027, batch_cost: 1.2218, reader_cost: 0.00078, ips: 1.6370 samples/sec | ETA 24:22:27 2021-08-22 19:56:34 [INFO] [TRAIN] epoch: 238, iter: 88190/160000, loss: 0.0514, lr: 0.000027, batch_cost: 1.2358, reader_cost: 0.00023, ips: 1.6184 samples/sec | ETA 24:39:04 2021-08-22 19:56:46 [INFO] [TRAIN] epoch: 238, iter: 88200/160000, loss: 0.0552, lr: 0.000027, batch_cost: 1.2303, reader_cost: 0.00023, ips: 1.6257 samples/sec | ETA 24:32:13 2021-08-22 19:56:59 [INFO] [TRAIN] epoch: 238, iter: 88210/160000, loss: 0.0568, lr: 0.000027, batch_cost: 1.2249, reader_cost: 0.00023, ips: 1.6328 samples/sec | ETA 24:25:32 2021-08-22 19:57:11 [INFO] [TRAIN] epoch: 238, iter: 88220/160000, loss: 0.0560, lr: 0.000027, batch_cost: 1.2276, reader_cost: 0.00020, ips: 1.6292 samples/sec | ETA 24:28:34 2021-08-22 19:57:23 [INFO] [TRAIN] epoch: 238, iter: 88230/160000, loss: 0.0545, lr: 0.000027, batch_cost: 1.2322, reader_cost: 0.00023, ips: 1.6231 samples/sec | ETA 24:33:57 2021-08-22 19:57:36 [INFO] [TRAIN] epoch: 238, iter: 88240/160000, loss: 0.0555, lr: 0.000027, batch_cost: 1.2292, reader_cost: 0.00021, ips: 1.6270 samples/sec | ETA 24:30:09 2021-08-22 19:57:48 [INFO] [TRAIN] epoch: 238, iter: 88250/160000, loss: 0.0643, lr: 0.000027, batch_cost: 1.2399, reader_cost: 0.00021, ips: 1.6130 samples/sec | ETA 24:42:43 2021-08-22 19:58:00 [INFO] [TRAIN] epoch: 238, iter: 88260/160000, loss: 0.0714, lr: 0.000027, batch_cost: 1.2177, reader_cost: 0.00020, ips: 1.6424 samples/sec | ETA 24:15:57 2021-08-22 19:58:12 [INFO] [TRAIN] epoch: 238, iter: 88270/160000, loss: 0.0545, lr: 0.000027, batch_cost: 1.2148, reader_cost: 0.00020, ips: 1.6463 samples/sec | ETA 24:12:20 2021-08-22 19:58:24 [INFO] [TRAIN] epoch: 238, iter: 88280/160000, loss: 0.0756, lr: 0.000027, batch_cost: 1.2078, reader_cost: 0.00019, ips: 1.6560 samples/sec | ETA 24:03:40 2021-08-22 19:58:37 [INFO] [TRAIN] epoch: 238, iter: 88290/160000, loss: 0.0612, lr: 0.000027, batch_cost: 1.2193, reader_cost: 0.00020, ips: 1.6402 samples/sec | ETA 24:17:18 2021-08-22 19:58:49 [INFO] [TRAIN] epoch: 238, iter: 88300/160000, loss: 0.0644, lr: 0.000027, batch_cost: 1.2210, reader_cost: 0.00021, ips: 1.6381 samples/sec | ETA 24:19:02 2021-08-22 19:59:01 [INFO] [TRAIN] epoch: 238, iter: 88310/160000, loss: 0.0658, lr: 0.000027, batch_cost: 1.2247, reader_cost: 0.00022, ips: 1.6330 samples/sec | ETA 24:23:22 2021-08-22 19:59:13 [INFO] [TRAIN] epoch: 238, iter: 88320/160000, loss: 0.0637, lr: 0.000027, batch_cost: 1.2099, reader_cost: 0.00022, ips: 1.6530 samples/sec | ETA 24:05:27 2021-08-22 19:59:25 [INFO] [TRAIN] epoch: 238, iter: 88330/160000, loss: 0.0731, lr: 0.000027, batch_cost: 1.2231, reader_cost: 0.00023, ips: 1.6352 samples/sec | ETA 24:21:00 2021-08-22 19:59:38 [INFO] [TRAIN] epoch: 238, iter: 88340/160000, loss: 0.0623, lr: 0.000027, batch_cost: 1.2375, reader_cost: 0.00022, ips: 1.6162 samples/sec | ETA 24:37:56 2021-08-22 19:59:50 [INFO] [TRAIN] epoch: 238, iter: 88350/160000, loss: 0.0706, lr: 0.000027, batch_cost: 1.2371, reader_cost: 0.00020, ips: 1.6167 samples/sec | ETA 24:37:19 2021-08-22 20:00:03 [INFO] [TRAIN] epoch: 238, iter: 88360/160000, loss: 0.0545, lr: 0.000027, batch_cost: 1.2456, reader_cost: 0.00021, ips: 1.6056 samples/sec | ETA 24:47:16 2021-08-22 20:00:15 [INFO] [TRAIN] epoch: 238, iter: 88370/160000, loss: 0.0608, lr: 0.000027, batch_cost: 1.2445, reader_cost: 0.00023, ips: 1.6071 samples/sec | ETA 24:45:43 2021-08-22 20:00:27 [INFO] [TRAIN] epoch: 238, iter: 88380/160000, loss: 0.0587, lr: 0.000027, batch_cost: 1.2408, reader_cost: 0.00021, ips: 1.6119 samples/sec | ETA 24:41:04 2021-08-22 20:00:40 [INFO] [TRAIN] epoch: 238, iter: 88390/160000, loss: 0.0576, lr: 0.000027, batch_cost: 1.2459, reader_cost: 0.00022, ips: 1.6052 samples/sec | ETA 24:46:59 2021-08-22 20:00:52 [INFO] [TRAIN] epoch: 238, iter: 88400/160000, loss: 0.0477, lr: 0.000027, batch_cost: 1.2097, reader_cost: 0.00021, ips: 1.6534 samples/sec | ETA 24:03:31 2021-08-22 20:01:04 [INFO] [TRAIN] epoch: 238, iter: 88410/160000, loss: 0.0567, lr: 0.000027, batch_cost: 1.2378, reader_cost: 0.00021, ips: 1.6158 samples/sec | ETA 24:36:53 2021-08-22 20:01:17 [INFO] [TRAIN] epoch: 238, iter: 88420/160000, loss: 0.0665, lr: 0.000027, batch_cost: 1.2204, reader_cost: 0.00023, ips: 1.6389 samples/sec | ETA 24:15:52 2021-08-22 20:01:29 [INFO] [TRAIN] epoch: 238, iter: 88430/160000, loss: 0.0679, lr: 0.000027, batch_cost: 1.2376, reader_cost: 0.00022, ips: 1.6160 samples/sec | ETA 24:36:17 2021-08-22 20:01:41 [INFO] [TRAIN] epoch: 238, iter: 88440/160000, loss: 0.0671, lr: 0.000027, batch_cost: 1.2267, reader_cost: 0.00022, ips: 1.6304 samples/sec | ETA 24:23:04 2021-08-22 20:01:53 [INFO] [TRAIN] epoch: 238, iter: 88450/160000, loss: 0.0634, lr: 0.000027, batch_cost: 1.2288, reader_cost: 0.00023, ips: 1.6276 samples/sec | ETA 24:25:18 2021-08-22 20:02:06 [INFO] [TRAIN] epoch: 238, iter: 88460/160000, loss: 0.0605, lr: 0.000027, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 24:18:28 2021-08-22 20:02:18 [INFO] [TRAIN] epoch: 238, iter: 88470/160000, loss: 0.0565, lr: 0.000027, batch_cost: 1.2205, reader_cost: 0.00022, ips: 1.6386 samples/sec | ETA 24:15:04 2021-08-22 20:02:30 [INFO] [TRAIN] epoch: 238, iter: 88480/160000, loss: 0.0497, lr: 0.000027, batch_cost: 1.2390, reader_cost: 0.00022, ips: 1.6142 samples/sec | ETA 24:36:55 2021-08-22 20:02:42 [INFO] [TRAIN] epoch: 238, iter: 88490/160000, loss: 0.0650, lr: 0.000027, batch_cost: 1.2171, reader_cost: 0.00021, ips: 1.6432 samples/sec | ETA 24:10:34 2021-08-22 20:02:55 [INFO] [TRAIN] epoch: 238, iter: 88500/160000, loss: 0.0519, lr: 0.000027, batch_cost: 1.2245, reader_cost: 0.00023, ips: 1.6333 samples/sec | ETA 24:19:13 2021-08-22 20:03:07 [INFO] [TRAIN] epoch: 238, iter: 88510/160000, loss: 0.0652, lr: 0.000027, batch_cost: 1.2269, reader_cost: 0.00021, ips: 1.6302 samples/sec | ETA 24:21:49 2021-08-22 20:03:19 [INFO] [TRAIN] epoch: 238, iter: 88520/160000, loss: 0.0578, lr: 0.000027, batch_cost: 1.2339, reader_cost: 0.00022, ips: 1.6209 samples/sec | ETA 24:29:58 2021-08-22 20:03:31 [INFO] [TRAIN] epoch: 238, iter: 88530/160000, loss: 0.0577, lr: 0.000027, batch_cost: 1.1990, reader_cost: 0.00020, ips: 1.6680 samples/sec | ETA 23:48:14 2021-08-22 20:03:46 [INFO] [TRAIN] epoch: 239, iter: 88540/160000, loss: 0.0600, lr: 0.000027, batch_cost: 1.4703, reader_cost: 0.22561, ips: 1.3602 samples/sec | ETA 29:11:08 2021-08-22 20:03:58 [INFO] [TRAIN] epoch: 239, iter: 88550/160000, loss: 0.0573, lr: 0.000027, batch_cost: 1.2287, reader_cost: 0.00084, ips: 1.6278 samples/sec | ETA 24:23:09 2021-08-22 20:04:10 [INFO] [TRAIN] epoch: 239, iter: 88560/160000, loss: 0.0611, lr: 0.000027, batch_cost: 1.2150, reader_cost: 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20:13:37 [INFO] [TRAIN] epoch: 240, iter: 89020/160000, loss: 0.0643, lr: 0.000027, batch_cost: 1.2214, reader_cost: 0.00021, ips: 1.6375 samples/sec | ETA 24:04:55 2021-08-22 20:13:49 [INFO] [TRAIN] epoch: 240, iter: 89030/160000, loss: 0.0649, lr: 0.000027, batch_cost: 1.2346, reader_cost: 0.00022, ips: 1.6200 samples/sec | ETA 24:20:19 2021-08-22 20:14:01 [INFO] [TRAIN] epoch: 240, iter: 89040/160000, loss: 0.0608, lr: 0.000027, batch_cost: 1.2142, reader_cost: 0.00022, ips: 1.6472 samples/sec | ETA 23:55:56 2021-08-22 20:14:14 [INFO] [TRAIN] epoch: 240, iter: 89050/160000, loss: 0.0614, lr: 0.000027, batch_cost: 1.2274, reader_cost: 0.00021, ips: 1.6295 samples/sec | ETA 24:11:21 2021-08-22 20:14:26 [INFO] [TRAIN] epoch: 240, iter: 89060/160000, loss: 0.0495, lr: 0.000027, batch_cost: 1.2467, reader_cost: 0.00023, ips: 1.6042 samples/sec | ETA 24:34:03 2021-08-22 20:14:39 [INFO] [TRAIN] epoch: 240, iter: 89070/160000, loss: 0.0555, lr: 0.000027, batch_cost: 1.2330, reader_cost: 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20:17:05 [INFO] [TRAIN] epoch: 240, iter: 89190/160000, loss: 0.0552, lr: 0.000027, batch_cost: 1.2154, reader_cost: 0.00022, ips: 1.6456 samples/sec | ETA 23:54:22 2021-08-22 20:17:17 [INFO] [TRAIN] epoch: 240, iter: 89200/160000, loss: 0.0549, lr: 0.000027, batch_cost: 1.2197, reader_cost: 0.00020, ips: 1.6398 samples/sec | ETA 23:59:13 2021-08-22 20:17:30 [INFO] [TRAIN] epoch: 240, iter: 89210/160000, loss: 0.0538, lr: 0.000027, batch_cost: 1.2410, reader_cost: 0.00021, ips: 1.6116 samples/sec | ETA 24:24:11 2021-08-22 20:17:42 [INFO] [TRAIN] epoch: 240, iter: 89220/160000, loss: 0.0595, lr: 0.000027, batch_cost: 1.2188, reader_cost: 0.00020, ips: 1.6410 samples/sec | ETA 23:57:44 2021-08-22 20:17:54 [INFO] [TRAIN] epoch: 240, iter: 89230/160000, loss: 0.0453, lr: 0.000027, batch_cost: 1.2379, reader_cost: 0.00025, ips: 1.6157 samples/sec | ETA 24:20:03 2021-08-22 20:18:06 [INFO] [TRAIN] epoch: 240, iter: 89240/160000, loss: 0.0555, lr: 0.000027, batch_cost: 1.2245, reader_cost: 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20:20:36 [INFO] [TRAIN] epoch: 241, iter: 89360/160000, loss: 0.0558, lr: 0.000026, batch_cost: 1.2382, reader_cost: 0.00025, ips: 1.6152 samples/sec | ETA 24:17:46 2021-08-22 20:20:49 [INFO] [TRAIN] epoch: 241, iter: 89370/160000, loss: 0.0555, lr: 0.000026, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 23:57:52 2021-08-22 20:21:01 [INFO] [TRAIN] epoch: 241, iter: 89380/160000, loss: 0.0601, lr: 0.000026, batch_cost: 1.2143, reader_cost: 0.00022, ips: 1.6470 samples/sec | ETA 23:49:13 2021-08-22 20:21:13 [INFO] [TRAIN] epoch: 241, iter: 89390/160000, loss: 0.0544, lr: 0.000026, batch_cost: 1.2190, reader_cost: 0.00024, ips: 1.6407 samples/sec | ETA 23:54:33 2021-08-22 20:21:25 [INFO] [TRAIN] epoch: 241, iter: 89400/160000, loss: 0.0577, lr: 0.000026, batch_cost: 1.2202, reader_cost: 0.00019, ips: 1.6390 samples/sec | ETA 23:55:47 2021-08-22 20:21:37 [INFO] [TRAIN] epoch: 241, iter: 89410/160000, loss: 0.0549, lr: 0.000026, batch_cost: 1.2194, reader_cost: 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20:24:04 [INFO] [TRAIN] epoch: 241, iter: 89530/160000, loss: 0.0597, lr: 0.000026, batch_cost: 1.2452, reader_cost: 0.00027, ips: 1.6061 samples/sec | ETA 24:22:32 2021-08-22 20:24:17 [INFO] [TRAIN] epoch: 241, iter: 89540/160000, loss: 0.0564, lr: 0.000026, batch_cost: 1.2308, reader_cost: 0.00026, ips: 1.6249 samples/sec | ETA 24:05:24 2021-08-22 20:24:29 [INFO] [TRAIN] epoch: 241, iter: 89550/160000, loss: 0.0658, lr: 0.000026, batch_cost: 1.2224, reader_cost: 0.00022, ips: 1.6362 samples/sec | ETA 23:55:15 2021-08-22 20:24:41 [INFO] [TRAIN] epoch: 241, iter: 89560/160000, loss: 0.0526, lr: 0.000026, batch_cost: 1.2250, reader_cost: 0.00022, ips: 1.6326 samples/sec | ETA 23:58:10 2021-08-22 20:24:53 [INFO] [TRAIN] epoch: 241, iter: 89570/160000, loss: 0.0582, lr: 0.000026, batch_cost: 1.2315, reader_cost: 0.00022, ips: 1.6241 samples/sec | ETA 24:05:31 2021-08-22 20:25:06 [INFO] [TRAIN] epoch: 241, iter: 89580/160000, loss: 0.0555, lr: 0.000026, batch_cost: 1.2477, reader_cost: 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20:31:04 [INFO] [TRAIN] epoch: 242, iter: 89870/160000, loss: 0.0640, lr: 0.000026, batch_cost: 1.2194, reader_cost: 0.00023, ips: 1.6401 samples/sec | ETA 23:45:16 2021-08-22 20:31:16 [INFO] [TRAIN] epoch: 242, iter: 89880/160000, loss: 0.0723, lr: 0.000026, batch_cost: 1.2102, reader_cost: 0.00021, ips: 1.6527 samples/sec | ETA 23:34:16 2021-08-22 20:31:28 [INFO] [TRAIN] epoch: 242, iter: 89890/160000, loss: 0.0671, lr: 0.000026, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6384 samples/sec | ETA 23:46:22 2021-08-22 20:31:40 [INFO] [TRAIN] epoch: 242, iter: 89900/160000, loss: 0.0648, lr: 0.000026, batch_cost: 1.2229, reader_cost: 0.00022, ips: 1.6354 samples/sec | ETA 23:48:47 2021-08-22 20:31:52 [INFO] [TRAIN] epoch: 242, iter: 89910/160000, loss: 0.0568, lr: 0.000026, batch_cost: 1.2215, reader_cost: 0.00021, ips: 1.6373 samples/sec | ETA 23:46:54 2021-08-22 20:32:05 [INFO] [TRAIN] epoch: 242, iter: 89920/160000, loss: 0.0554, lr: 0.000026, batch_cost: 1.2245, reader_cost: 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20:34:34 [INFO] [TRAIN] epoch: 243, iter: 90040/160000, loss: 0.0597, lr: 0.000026, batch_cost: 1.2123, reader_cost: 0.00084, ips: 1.6497 samples/sec | ETA 23:33:33 2021-08-22 20:34:46 [INFO] [TRAIN] epoch: 243, iter: 90050/160000, loss: 0.0562, lr: 0.000026, batch_cost: 1.2275, reader_cost: 0.00022, ips: 1.6293 samples/sec | ETA 23:51:06 2021-08-22 20:34:58 [INFO] [TRAIN] epoch: 243, iter: 90060/160000, loss: 0.0584, lr: 0.000026, batch_cost: 1.2209, reader_cost: 0.00022, ips: 1.6381 samples/sec | ETA 23:43:09 2021-08-22 20:35:11 [INFO] [TRAIN] epoch: 243, iter: 90070/160000, loss: 0.0567, lr: 0.000026, batch_cost: 1.2327, reader_cost: 0.00020, ips: 1.6224 samples/sec | ETA 23:56:45 2021-08-22 20:35:23 [INFO] [TRAIN] epoch: 243, iter: 90080/160000, loss: 0.0536, lr: 0.000026, batch_cost: 1.2131, reader_cost: 0.00022, ips: 1.6487 samples/sec | ETA 23:33:36 2021-08-22 20:35:35 [INFO] [TRAIN] epoch: 243, iter: 90090/160000, loss: 0.0425, lr: 0.000026, batch_cost: 1.2289, reader_cost: 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20:38:03 [INFO] [TRAIN] epoch: 243, iter: 90210/160000, loss: 0.0370, lr: 0.000026, batch_cost: 1.2276, reader_cost: 0.00021, ips: 1.6292 samples/sec | ETA 23:47:55 2021-08-22 20:38:15 [INFO] [TRAIN] epoch: 243, iter: 90220/160000, loss: 0.0610, lr: 0.000026, batch_cost: 1.2259, reader_cost: 0.00021, ips: 1.6315 samples/sec | ETA 23:45:43 2021-08-22 20:38:27 [INFO] [TRAIN] epoch: 243, iter: 90230/160000, loss: 0.0580, lr: 0.000026, batch_cost: 1.2228, reader_cost: 0.00021, ips: 1.6356 samples/sec | ETA 23:41:56 2021-08-22 20:38:39 [INFO] [TRAIN] epoch: 243, iter: 90240/160000, loss: 0.0659, lr: 0.000026, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 23:40:09 2021-08-22 20:38:52 [INFO] [TRAIN] epoch: 243, iter: 90250/160000, loss: 0.0610, lr: 0.000026, batch_cost: 1.2233, reader_cost: 0.00023, ips: 1.6350 samples/sec | ETA 23:42:02 2021-08-22 20:39:04 [INFO] [TRAIN] epoch: 243, iter: 90260/160000, loss: 0.0593, lr: 0.000026, batch_cost: 1.2248, reader_cost: 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20:45:02 [INFO] [TRAIN] epoch: 244, iter: 90550/160000, loss: 0.0593, lr: 0.000026, batch_cost: 1.2306, reader_cost: 0.00024, ips: 1.6252 samples/sec | ETA 23:44:23 2021-08-22 20:45:14 [INFO] [TRAIN] epoch: 244, iter: 90560/160000, loss: 0.0611, lr: 0.000026, batch_cost: 1.2291, reader_cost: 0.00026, ips: 1.6271 samples/sec | ETA 23:42:31 2021-08-22 20:45:26 [INFO] [TRAIN] epoch: 244, iter: 90570/160000, loss: 0.0721, lr: 0.000026, batch_cost: 1.2290, reader_cost: 0.00079, ips: 1.6273 samples/sec | ETA 23:42:11 2021-08-22 20:45:38 [INFO] [TRAIN] epoch: 244, iter: 90580/160000, loss: 0.0626, lr: 0.000026, batch_cost: 1.2137, reader_cost: 0.00022, ips: 1.6479 samples/sec | ETA 23:24:14 2021-08-22 20:45:51 [INFO] [TRAIN] epoch: 244, iter: 90590/160000, loss: 0.0578, lr: 0.000026, batch_cost: 1.2354, reader_cost: 0.00023, ips: 1.6188 samples/sec | ETA 23:49:12 2021-08-22 20:46:03 [INFO] [TRAIN] epoch: 244, iter: 90600/160000, loss: 0.0506, lr: 0.000026, batch_cost: 1.2298, reader_cost: 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20:52:01 [INFO] [TRAIN] epoch: 245, iter: 90890/160000, loss: 0.0541, lr: 0.000026, batch_cost: 1.2217, reader_cost: 0.00020, ips: 1.6371 samples/sec | ETA 23:27:11 2021-08-22 20:52:13 [INFO] [TRAIN] epoch: 245, iter: 90900/160000, loss: 0.0535, lr: 0.000026, batch_cost: 1.2241, reader_cost: 0.00021, ips: 1.6339 samples/sec | ETA 23:29:45 2021-08-22 20:52:26 [INFO] [TRAIN] epoch: 245, iter: 90910/160000, loss: 0.0591, lr: 0.000026, batch_cost: 1.2193, reader_cost: 0.00020, ips: 1.6403 samples/sec | ETA 23:23:58 2021-08-22 20:52:38 [INFO] [TRAIN] epoch: 245, iter: 90920/160000, loss: 0.0638, lr: 0.000026, batch_cost: 1.2171, reader_cost: 0.00021, ips: 1.6432 samples/sec | ETA 23:21:19 2021-08-22 20:52:50 [INFO] [TRAIN] epoch: 245, iter: 90930/160000, loss: 0.0574, lr: 0.000026, batch_cost: 1.2264, reader_cost: 0.00022, ips: 1.6308 samples/sec | ETA 23:31:49 2021-08-22 20:53:02 [INFO] [TRAIN] epoch: 245, iter: 90940/160000, loss: 0.0484, lr: 0.000026, batch_cost: 1.2204, reader_cost: 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0.0500, lr: 0.000026, batch_cost: 1.2256, reader_cost: 0.00023, ips: 1.6318 samples/sec | ETA 23:26:00 2021-08-22 20:57:59 [INFO] [TRAIN] epoch: 246, iter: 91180/160000, loss: 0.0558, lr: 0.000026, batch_cost: 1.2267, reader_cost: 0.00023, ips: 1.6303 samples/sec | ETA 23:27:04 2021-08-22 20:58:11 [INFO] [TRAIN] epoch: 246, iter: 91190/160000, loss: 0.0570, lr: 0.000026, batch_cost: 1.2287, reader_cost: 0.00022, ips: 1.6278 samples/sec | ETA 23:29:05 2021-08-22 20:58:23 [INFO] [TRAIN] epoch: 246, iter: 91200/160000, loss: 0.0598, lr: 0.000026, batch_cost: 1.2385, reader_cost: 0.00021, ips: 1.6149 samples/sec | ETA 23:40:05 2021-08-22 20:58:36 [INFO] [TRAIN] epoch: 246, iter: 91210/160000, loss: 0.0676, lr: 0.000026, batch_cost: 1.2396, reader_cost: 0.00023, ips: 1.6134 samples/sec | ETA 23:41:15 2021-08-22 20:58:48 [INFO] [TRAIN] epoch: 246, iter: 91220/160000, loss: 0.0462, lr: 0.000026, batch_cost: 1.2316, reader_cost: 0.00023, ips: 1.6239 samples/sec | ETA 23:31:47 2021-08-22 20:59:00 [INFO] [TRAIN] epoch: 246, iter: 91230/160000, loss: 0.0626, lr: 0.000026, batch_cost: 1.2121, reader_cost: 0.00021, ips: 1.6500 samples/sec | ETA 23:09:18 2021-08-22 20:59:13 [INFO] [TRAIN] epoch: 246, iter: 91240/160000, loss: 0.0587, lr: 0.000026, batch_cost: 1.2461, reader_cost: 0.00023, ips: 1.6050 samples/sec | ETA 23:48:03 2021-08-22 20:59:25 [INFO] [TRAIN] epoch: 246, iter: 91250/160000, loss: 0.0565, lr: 0.000026, batch_cost: 1.2378, reader_cost: 0.00022, ips: 1.6157 samples/sec | ETA 23:38:20 2021-08-22 20:59:37 [INFO] [TRAIN] epoch: 246, iter: 91260/160000, loss: 0.0637, lr: 0.000026, batch_cost: 1.2296, reader_cost: 0.00025, ips: 1.6266 samples/sec | ETA 23:28:41 2021-08-22 20:59:49 [INFO] [TRAIN] epoch: 246, iter: 91270/160000, loss: 0.0499, lr: 0.000026, batch_cost: 1.2184, reader_cost: 0.00023, ips: 1.6415 samples/sec | ETA 23:15:39 2021-08-22 21:00:02 [INFO] [TRAIN] epoch: 246, iter: 91280/160000, loss: 0.0637, lr: 0.000026, batch_cost: 1.2386, reader_cost: 0.00022, ips: 1.6147 samples/sec | ETA 23:38:39 2021-08-22 21:00:14 [INFO] [TRAIN] epoch: 246, iter: 91290/160000, loss: 0.0572, lr: 0.000026, batch_cost: 1.2255, reader_cost: 0.00021, ips: 1.6320 samples/sec | ETA 23:23:21 2021-08-22 21:00:26 [INFO] [TRAIN] epoch: 246, iter: 91300/160000, loss: 0.0583, lr: 0.000026, batch_cost: 1.2296, reader_cost: 0.00023, ips: 1.6266 samples/sec | ETA 23:27:53 2021-08-22 21:00:39 [INFO] [TRAIN] epoch: 246, iter: 91310/160000, loss: 0.0539, lr: 0.000026, batch_cost: 1.2149, reader_cost: 0.00022, ips: 1.6462 samples/sec | ETA 23:10:50 2021-08-22 21:00:51 [INFO] [TRAIN] epoch: 246, iter: 91320/160000, loss: 0.0550, lr: 0.000026, batch_cost: 1.2252, reader_cost: 0.00021, ips: 1.6324 samples/sec | ETA 23:22:24 2021-08-22 21:01:03 [INFO] [TRAIN] epoch: 246, iter: 91330/160000, loss: 0.0568, lr: 0.000026, batch_cost: 1.2407, reader_cost: 0.00023, ips: 1.6120 samples/sec | ETA 23:39:59 2021-08-22 21:01:16 [INFO] [TRAIN] epoch: 246, iter: 91340/160000, loss: 0.0662, lr: 0.000026, batch_cost: 1.2350, reader_cost: 0.00021, ips: 1.6194 samples/sec | ETA 23:33:18 2021-08-22 21:01:28 [INFO] [TRAIN] epoch: 246, iter: 91350/160000, loss: 0.0604, lr: 0.000026, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6283 samples/sec | ETA 23:25:21 2021-08-22 21:01:40 [INFO] [TRAIN] epoch: 246, iter: 91360/160000, loss: 0.0506, lr: 0.000026, batch_cost: 1.2232, reader_cost: 0.00023, ips: 1.6351 samples/sec | ETA 23:19:19 2021-08-22 21:01:52 [INFO] [TRAIN] epoch: 246, iter: 91370/160000, loss: 0.0573, lr: 0.000026, batch_cost: 1.2257, reader_cost: 0.00024, ips: 1.6318 samples/sec | ETA 23:21:57 2021-08-22 21:02:05 [INFO] [TRAIN] epoch: 246, iter: 91380/160000, loss: 0.0453, lr: 0.000026, batch_cost: 1.2425, reader_cost: 0.00022, ips: 1.6096 samples/sec | ETA 23:41:03 2021-08-22 21:02:17 [INFO] [TRAIN] epoch: 246, iter: 91390/160000, loss: 0.0542, lr: 0.000026, batch_cost: 1.2361, reader_cost: 0.00020, ips: 1.6179 samples/sec | ETA 23:33:31 2021-08-22 21:02:29 [INFO] [TRAIN] epoch: 246, iter: 91400/160000, loss: 0.0590, lr: 0.000026, batch_cost: 1.2249, reader_cost: 0.00023, ips: 1.6328 samples/sec | ETA 23:20:29 2021-08-22 21:02:42 [INFO] [TRAIN] epoch: 246, iter: 91410/160000, loss: 0.0535, lr: 0.000026, batch_cost: 1.2340, reader_cost: 0.00022, ips: 1.6208 samples/sec | ETA 23:30:37 2021-08-22 21:02:54 [INFO] [TRAIN] epoch: 246, iter: 91420/160000, loss: 0.0517, lr: 0.000026, batch_cost: 1.2213, reader_cost: 0.00024, ips: 1.6376 samples/sec | ETA 23:15:54 2021-08-22 21:03:06 [INFO] [TRAIN] epoch: 246, iter: 91430/160000, loss: 0.0583, lr: 0.000026, batch_cost: 1.2258, reader_cost: 0.00022, ips: 1.6316 samples/sec | ETA 23:20:54 2021-08-22 21:03:18 [INFO] [TRAIN] epoch: 246, iter: 91440/160000, loss: 0.0456, lr: 0.000026, batch_cost: 1.2193, reader_cost: 0.00022, ips: 1.6403 samples/sec | ETA 23:13:13 2021-08-22 21:03:31 [INFO] [TRAIN] epoch: 246, iter: 91450/160000, loss: 0.0661, lr: 0.000026, batch_cost: 1.2381, reader_cost: 0.00021, ips: 1.6153 samples/sec | ETA 23:34:35 2021-08-22 21:03:43 [INFO] [TRAIN] epoch: 246, iter: 91460/160000, loss: 0.0517, lr: 0.000026, batch_cost: 1.2200, reader_cost: 0.00022, ips: 1.6393 samples/sec | ETA 23:13:40 2021-08-22 21:03:55 [INFO] [TRAIN] epoch: 246, iter: 91470/160000, loss: 0.0601, lr: 0.000026, batch_cost: 1.2197, reader_cost: 0.00021, ips: 1.6398 samples/sec | ETA 23:13:05 2021-08-22 21:04:07 [INFO] [TRAIN] epoch: 246, iter: 91480/160000, loss: 0.0554, lr: 0.000026, batch_cost: 1.2277, reader_cost: 0.00021, ips: 1.6291 samples/sec | ETA 23:21:58 2021-08-22 21:04:20 [INFO] [TRAIN] epoch: 246, iter: 91490/160000, loss: 0.0551, lr: 0.000026, batch_cost: 1.2115, reader_cost: 0.00020, ips: 1.6509 samples/sec | ETA 23:03:17 2021-08-22 21:04:32 [INFO] [TRAIN] epoch: 246, iter: 91500/160000, loss: 0.0669, lr: 0.000026, batch_cost: 1.2291, reader_cost: 0.00020, ips: 1.6272 samples/sec | ETA 23:23:14 2021-08-22 21:04:44 [INFO] [TRAIN] epoch: 246, iter: 91510/160000, loss: 0.0467, lr: 0.000026, batch_cost: 1.2071, reader_cost: 0.00016, ips: 1.6568 samples/sec | ETA 22:57:56 2021-08-22 21:04:59 [INFO] [TRAIN] epoch: 247, iter: 91520/160000, loss: 0.0505, lr: 0.000026, batch_cost: 1.5003, reader_cost: 0.20372, ips: 1.3330 samples/sec | ETA 28:32:23 2021-08-22 21:05:11 [INFO] [TRAIN] epoch: 247, iter: 91530/160000, loss: 0.0614, lr: 0.000026, batch_cost: 1.2312, reader_cost: 0.00078, ips: 1.6244 samples/sec | ETA 23:25:01 2021-08-22 21:05:23 [INFO] [TRAIN] epoch: 247, iter: 91540/160000, loss: 0.0530, lr: 0.000026, batch_cost: 1.2249, reader_cost: 0.00020, ips: 1.6328 samples/sec | ETA 23:17:36 2021-08-22 21:05:36 [INFO] [TRAIN] epoch: 247, iter: 91550/160000, loss: 0.0601, lr: 0.000026, batch_cost: 1.2211, reader_cost: 0.00020, ips: 1.6379 samples/sec | ETA 23:13:03 2021-08-22 21:05:48 [INFO] [TRAIN] epoch: 247, iter: 91560/160000, loss: 0.0576, lr: 0.000026, batch_cost: 1.2115, reader_cost: 0.00021, ips: 1.6508 samples/sec | ETA 23:01:54 2021-08-22 21:06:00 [INFO] [TRAIN] epoch: 247, iter: 91570/160000, loss: 0.0474, lr: 0.000026, batch_cost: 1.2152, reader_cost: 0.00020, ips: 1.6458 samples/sec | ETA 23:05:55 2021-08-22 21:06:12 [INFO] [TRAIN] epoch: 247, iter: 91580/160000, loss: 0.0644, lr: 0.000026, batch_cost: 1.2210, reader_cost: 0.00021, ips: 1.6381 samples/sec | ETA 23:12:17 2021-08-22 21:06:24 [INFO] [TRAIN] epoch: 247, iter: 91590/160000, loss: 0.0497, lr: 0.000026, batch_cost: 1.2188, reader_cost: 0.00023, ips: 1.6410 samples/sec | ETA 23:09:35 2021-08-22 21:06:36 [INFO] [TRAIN] epoch: 247, iter: 91600/160000, loss: 0.0578, lr: 0.000026, batch_cost: 1.2153, reader_cost: 0.00024, ips: 1.6457 samples/sec | ETA 23:05:26 2021-08-22 21:06:49 [INFO] [TRAIN] epoch: 247, iter: 91610/160000, loss: 0.0637, lr: 0.000026, batch_cost: 1.2353, reader_cost: 0.00082, ips: 1.6191 samples/sec | ETA 23:27:59 2021-08-22 21:07:01 [INFO] [TRAIN] epoch: 247, iter: 91620/160000, loss: 0.0616, lr: 0.000026, batch_cost: 1.2301, reader_cost: 0.00022, ips: 1.6259 samples/sec | ETA 23:21:52 2021-08-22 21:07:13 [INFO] [TRAIN] epoch: 247, iter: 91630/160000, loss: 0.0524, lr: 0.000026, batch_cost: 1.2137, reader_cost: 0.00021, ips: 1.6479 samples/sec | ETA 23:02:59 2021-08-22 21:07:26 [INFO] [TRAIN] epoch: 247, iter: 91640/160000, loss: 0.0551, lr: 0.000026, batch_cost: 1.2263, reader_cost: 0.00022, ips: 1.6309 samples/sec | ETA 23:17:11 2021-08-22 21:07:38 [INFO] [TRAIN] epoch: 247, iter: 91650/160000, loss: 0.0614, lr: 0.000026, batch_cost: 1.2237, reader_cost: 0.00021, ips: 1.6343 samples/sec | ETA 23:14:02 2021-08-22 21:07:50 [INFO] [TRAIN] epoch: 247, iter: 91660/160000, loss: 0.0657, lr: 0.000026, batch_cost: 1.2354, reader_cost: 0.00020, ips: 1.6189 samples/sec | ETA 23:27:08 2021-08-22 21:08:02 [INFO] [TRAIN] epoch: 247, iter: 91670/160000, loss: 0.0557, lr: 0.000026, batch_cost: 1.2182, reader_cost: 0.00021, ips: 1.6418 samples/sec | ETA 23:07:19 2021-08-22 21:08:15 [INFO] [TRAIN] epoch: 247, iter: 91680/160000, loss: 0.0622, lr: 0.000026, batch_cost: 1.2312, reader_cost: 0.00021, ips: 1.6245 samples/sec | ETA 23:21:52 2021-08-22 21:08:27 [INFO] [TRAIN] epoch: 247, iter: 91690/160000, loss: 0.0596, lr: 0.000026, batch_cost: 1.2426, reader_cost: 0.00021, ips: 1.6095 samples/sec | ETA 23:34:42 2021-08-22 21:08:39 [INFO] [TRAIN] epoch: 247, iter: 91700/160000, loss: 0.0672, lr: 0.000026, batch_cost: 1.2380, reader_cost: 0.00023, ips: 1.6156 samples/sec | ETA 23:29:12 2021-08-22 21:08:52 [INFO] [TRAIN] epoch: 247, iter: 91710/160000, loss: 0.0578, lr: 0.000026, batch_cost: 1.2297, reader_cost: 0.00021, ips: 1.6264 samples/sec | ETA 23:19:34 2021-08-22 21:09:04 [INFO] [TRAIN] epoch: 247, iter: 91720/160000, loss: 0.0564, lr: 0.000026, batch_cost: 1.2368, reader_cost: 0.00021, ips: 1.6171 samples/sec | ETA 23:27:28 2021-08-22 21:09:16 [INFO] [TRAIN] epoch: 247, iter: 91730/160000, loss: 0.0643, lr: 0.000026, batch_cost: 1.2284, reader_cost: 0.00023, ips: 1.6281 samples/sec | ETA 23:17:45 2021-08-22 21:09:29 [INFO] [TRAIN] epoch: 247, iter: 91740/160000, loss: 0.0569, lr: 0.000026, batch_cost: 1.2330, reader_cost: 0.00021, ips: 1.6221 samples/sec | ETA 23:22:41 2021-08-22 21:09:41 [INFO] [TRAIN] epoch: 247, iter: 91750/160000, loss: 0.0524, lr: 0.000026, batch_cost: 1.2033, reader_cost: 0.00023, ips: 1.6621 samples/sec | ETA 22:48:46 2021-08-22 21:09:53 [INFO] [TRAIN] epoch: 247, iter: 91760/160000, loss: 0.0612, lr: 0.000026, batch_cost: 1.2198, reader_cost: 0.00023, ips: 1.6396 samples/sec | ETA 23:07:20 2021-08-22 21:10:05 [INFO] [TRAIN] epoch: 247, iter: 91770/160000, loss: 0.0606, lr: 0.000026, batch_cost: 1.2134, reader_cost: 0.00023, ips: 1.6482 samples/sec | ETA 22:59:50 2021-08-22 21:10:17 [INFO] [TRAIN] epoch: 247, iter: 91780/160000, loss: 0.0582, lr: 0.000026, batch_cost: 1.2161, reader_cost: 0.00023, ips: 1.6446 samples/sec | ETA 23:02:40 2021-08-22 21:10:29 [INFO] [TRAIN] epoch: 247, iter: 91790/160000, loss: 0.0789, lr: 0.000026, batch_cost: 1.2174, reader_cost: 0.00021, ips: 1.6429 samples/sec | ETA 23:03:57 2021-08-22 21:10:42 [INFO] [TRAIN] epoch: 247, iter: 91800/160000, loss: 0.0551, lr: 0.000026, batch_cost: 1.2179, reader_cost: 0.00022, ips: 1.6421 samples/sec | ETA 23:04:23 2021-08-22 21:10:54 [INFO] [TRAIN] epoch: 247, iter: 91810/160000, loss: 0.0616, lr: 0.000026, batch_cost: 1.2347, reader_cost: 0.00020, ips: 1.6198 samples/sec | ETA 23:23:15 2021-08-22 21:11:06 [INFO] [TRAIN] epoch: 247, iter: 91820/160000, loss: 0.0473, lr: 0.000026, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6223 samples/sec | ETA 23:20:54 2021-08-22 21:11:18 [INFO] [TRAIN] epoch: 247, iter: 91830/160000, loss: 0.0604, lr: 0.000026, batch_cost: 1.2178, reader_cost: 0.00022, ips: 1.6423 samples/sec | ETA 23:03:35 2021-08-22 21:11:31 [INFO] [TRAIN] epoch: 247, iter: 91840/160000, loss: 0.0588, lr: 0.000026, batch_cost: 1.2355, reader_cost: 0.00022, ips: 1.6187 samples/sec | ETA 23:23:34 2021-08-22 21:11:43 [INFO] [TRAIN] epoch: 247, iter: 91850/160000, loss: 0.0552, lr: 0.000026, batch_cost: 1.2244, reader_cost: 0.00021, ips: 1.6334 samples/sec | ETA 23:10:44 2021-08-22 21:11:55 [INFO] [TRAIN] epoch: 247, iter: 91860/160000, loss: 0.0504, lr: 0.000026, batch_cost: 1.2412, reader_cost: 0.00021, ips: 1.6114 samples/sec | ETA 23:29:34 2021-08-22 21:12:08 [INFO] [TRAIN] epoch: 247, iter: 91870/160000, loss: 0.0584, lr: 0.000026, batch_cost: 1.2288, reader_cost: 0.00023, ips: 1.6276 samples/sec | ETA 23:15:18 2021-08-22 21:12:20 [INFO] [TRAIN] epoch: 247, iter: 91880/160000, loss: 0.0476, lr: 0.000026, batch_cost: 1.1940, reader_cost: 0.00019, ips: 1.6750 samples/sec | ETA 22:35:35 2021-08-22 21:12:35 [INFO] [TRAIN] epoch: 248, iter: 91890/160000, loss: 0.0664, lr: 0.000026, batch_cost: 1.4798, reader_cost: 0.21368, ips: 1.3515 samples/sec | ETA 27:59:52 2021-08-22 21:12:47 [INFO] [TRAIN] epoch: 248, iter: 91900/160000, loss: 0.0595, lr: 0.000026, batch_cost: 1.2365, reader_cost: 0.00079, ips: 1.6175 samples/sec | ETA 23:23:22 2021-08-22 21:12:59 [INFO] [TRAIN] epoch: 248, iter: 91910/160000, loss: 0.0582, lr: 0.000026, batch_cost: 1.2465, reader_cost: 0.00023, ips: 1.6045 samples/sec | ETA 23:34:31 2021-08-22 21:13:11 [INFO] [TRAIN] epoch: 248, iter: 91920/160000, loss: 0.0529, lr: 0.000026, batch_cost: 1.2160, reader_cost: 0.00021, ips: 1.6447 samples/sec | ETA 22:59:46 2021-08-22 21:13:24 [INFO] [TRAIN] epoch: 248, iter: 91930/160000, loss: 0.0578, lr: 0.000026, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6325 samples/sec | ETA 23:09:52 2021-08-22 21:13:36 [INFO] [TRAIN] epoch: 248, iter: 91940/160000, loss: 0.0590, lr: 0.000026, batch_cost: 1.2153, reader_cost: 0.00021, ips: 1.6457 samples/sec | ETA 22:58:34 2021-08-22 21:13:48 [INFO] [TRAIN] epoch: 248, iter: 91950/160000, loss: 0.0526, lr: 0.000026, batch_cost: 1.2342, reader_cost: 0.00021, ips: 1.6204 samples/sec | ETA 23:19:50 2021-08-22 21:14:00 [INFO] [TRAIN] epoch: 248, iter: 91960/160000, loss: 0.0501, lr: 0.000026, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6345 samples/sec | ETA 23:07:36 2021-08-22 21:14:13 [INFO] [TRAIN] epoch: 248, iter: 91970/160000, loss: 0.0611, lr: 0.000026, batch_cost: 1.2126, reader_cost: 0.00024, ips: 1.6493 samples/sec | ETA 22:54:53 2021-08-22 21:14:25 [INFO] [TRAIN] epoch: 248, iter: 91980/160000, loss: 0.0508, lr: 0.000026, batch_cost: 1.2362, reader_cost: 0.00023, ips: 1.6178 samples/sec | ETA 23:21:28 2021-08-22 21:14:37 [INFO] [TRAIN] epoch: 248, iter: 91990/160000, loss: 0.0628, lr: 0.000026, batch_cost: 1.2176, reader_cost: 0.00023, ips: 1.6426 samples/sec | ETA 23:00:06 2021-08-22 21:14:50 [INFO] [TRAIN] epoch: 248, iter: 92000/160000, loss: 0.0671, lr: 0.000026, batch_cost: 1.2382, reader_cost: 0.00021, ips: 1.6153 samples/sec | ETA 23:23:16 2021-08-22 21:14:50 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:09 - batch_cost: 3.4599 - reader cost: 0.4145 2/125 [..............................] - ETA: 5:57 - batch_cost: 2.9031 - reader cost: 0.2073 3/125 [..............................] - ETA: 5:21 - batch_cost: 2.6326 - reader cost: 0.1383 4/125 [..............................] - ETA: 5:01 - batch_cost: 2.4938 - reader cost: 0.1038 5/125 [>.............................] - ETA: 4:48 - batch_cost: 2.4048 - reader cost: 0.0831 6/125 [>.............................] - ETA: 4:38 - batch_cost: 2.3410 - reader cost: 0.0692 7/125 [>.............................] - ETA: 4:31 - batch_cost: 2.2965 - reader cost: 0.0594 8/125 [>.............................] - ETA: 4:27 - batch_cost: 2.2872 - reader cost: 0.0520 9/125 [=>............................] - ETA: 4:22 - batch_cost: 2.2652 - reader cost: 0.0462 10/125 [=>............................] - ETA: 4:18 - batch_cost: 2.2444 - reader cost: 0.0416 11/125 [=>............................] - ETA: 4:13 - batch_cost: 2.2266 - reader cost: 0.0379 12/125 [=>............................] - ETA: 4:10 - batch_cost: 2.2152 - reader cost: 0.0347 13/125 [==>...........................] - ETA: 4:06 - batch_cost: 2.2046 - reader cost: 0.0321 14/125 [==>...........................] - ETA: 4:03 - batch_cost: 2.1911 - reader cost: 0.0298 15/125 [==>...........................] - ETA: 4:00 - batch_cost: 2.1851 - reader cost: 0.0278 16/125 [==>...........................] - ETA: 3:56 - batch_cost: 2.1735 - reader cost: 0.0261 17/125 [===>..........................] - ETA: 3:54 - batch_cost: 2.1686 - reader cost: 0.0246 18/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.1651 - reader cost: 0.0232 19/125 [===>..........................] - ETA: 3:49 - batch_cost: 2.1613 - reader cost: 0.0220 20/125 [===>..........................] - ETA: 3:46 - batch_cost: 2.1571 - reader cost: 0.0209 21/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.1533 - reader cost: 0.0199 22/125 [====>.........................] - ETA: 3:41 - batch_cost: 2.1476 - reader cost: 0.0190 23/125 [====>.........................] - ETA: 3:38 - batch_cost: 2.1462 - reader cost: 0.0182 24/125 [====>.........................] - ETA: 3:36 - batch_cost: 2.1421 - reader cost: 0.0175 25/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1376 - reader cost: 0.0168 26/125 [=====>........................] - ETA: 3:31 - batch_cost: 2.1312 - reader cost: 0.0161 27/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1309 - reader cost: 0.0155 28/125 [=====>........................] - ETA: 3:26 - batch_cost: 2.1292 - reader cost: 0.0150 29/125 [=====>........................] - ETA: 3:24 - batch_cost: 2.1290 - reader cost: 0.0145 30/125 [======>.......................] - ETA: 3:22 - batch_cost: 2.1288 - reader cost: 0.0140 31/125 [======>.......................] - ETA: 3:20 - batch_cost: 2.1280 - reader cost: 0.0136 32/125 [======>.......................] - ETA: 3:17 - batch_cost: 2.1280 - reader cost: 0.0131 33/125 [======>.......................] - ETA: 3:15 - batch_cost: 2.1270 - reader cost: 0.0128 34/125 [=======>......................] - ETA: 3:13 - batch_cost: 2.1252 - reader cost: 0.0124 35/125 [=======>......................] - ETA: 3:11 - batch_cost: 2.1238 - reader cost: 0.0120 36/125 [=======>......................] - ETA: 3:09 - batch_cost: 2.1252 - reader cost: 0.0117 37/125 [=======>......................] - ETA: 3:06 - batch_cost: 2.1241 - reader cost: 0.0114 38/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1230 - reader cost: 0.0111 39/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1218 - reader cost: 0.0108 40/125 [========>.....................] - ETA: 3:00 - batch_cost: 2.1211 - reader cost: 0.0106 41/125 [========>.....................] - ETA: 2:58 - batch_cost: 2.1213 - reader cost: 0.0103 42/125 [=========>....................] - ETA: 2:56 - batch_cost: 2.1213 - reader cost: 0.0101 43/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1202 - reader cost: 0.0098 44/125 [=========>....................] - ETA: 2:51 - 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[============>.................] - ETA: 2:28 - batch_cost: 2.1158 - reader cost: 0.0077 56/125 [============>.................] - ETA: 2:25 - batch_cost: 2.1149 - reader cost: 0.0076 57/125 [============>.................] - ETA: 2:23 - batch_cost: 2.1148 - reader cost: 0.0075 58/125 [============>.................] - ETA: 2:21 - batch_cost: 2.1147 - reader cost: 0.0073 59/125 [=============>................] - ETA: 2:19 - batch_cost: 2.1148 - reader cost: 0.0072 60/125 [=============>................] - ETA: 2:17 - batch_cost: 2.1142 - reader cost: 0.0071 61/125 [=============>................] - ETA: 2:15 - batch_cost: 2.1133 - reader cost: 0.0070 62/125 [=============>................] - ETA: 2:13 - batch_cost: 2.1118 - reader cost: 0.0069 63/125 [==============>...............] - ETA: 2:10 - batch_cost: 2.1106 - reader cost: 0.0068 64/125 [==============>...............] - ETA: 2:08 - batch_cost: 2.1095 - reader cost: 0.0067 65/125 [==============>...............] - ETA: 2:06 - 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[=================>............] - ETA: 1:43 - batch_cost: 2.1050 - reader cost: 0.0057 77/125 [=================>............] - ETA: 1:41 - batch_cost: 2.1042 - reader cost: 0.0056 78/125 [=================>............] - ETA: 1:38 - batch_cost: 2.1030 - reader cost: 0.0055 79/125 [=================>............] - ETA: 1:36 - batch_cost: 2.1024 - reader cost: 0.0055 80/125 [==================>...........] - ETA: 1:34 - batch_cost: 2.1019 - reader cost: 0.0054 81/125 [==================>...........] - ETA: 1:32 - batch_cost: 2.1012 - reader cost: 0.0053 82/125 [==================>...........] - ETA: 1:30 - batch_cost: 2.1004 - reader cost: 0.0053 83/125 [==================>...........] - ETA: 1:28 - batch_cost: 2.1008 - reader cost: 0.0052 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1013 - reader cost: 0.0051 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1008 - reader cost: 0.0051 86/125 [===================>..........] - ETA: 1:21 - batch_cost: 2.1002 - reader cost: 0.0050 87/125 [===================>..........] - ETA: 1:19 - batch_cost: 2.0999 - reader cost: 0.0050 88/125 [====================>.........] - ETA: 1:17 - batch_cost: 2.0993 - reader cost: 0.0049 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.0988 - reader cost: 0.0049 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.0978 - reader cost: 0.0048 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.0970 - reader cost: 0.0048 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.0961 - reader cost: 0.0047 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.0955 - reader cost: 0.0047 94/125 [=====================>........] - ETA: 1:04 - batch_cost: 2.0950 - reader cost: 0.0046 95/125 [=====================>........] - ETA: 1:02 - batch_cost: 2.0943 - reader cost: 0.0046 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.0938 - reader cost: 0.0045 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.0931 - reader cost: 0.0045  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.0924 - reader cost: 0.0044 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.0917 - reader cost: 0.0044 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.0914 - reader cost: 0.0043 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.0910 - reader cost: 0.0043 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.0902 - reader cost: 0.0043 103/125 [=======================>......] - ETA: 45s - batch_cost: 2.0904 - reader cost: 0.0042 104/125 [=======================>......] - ETA: 43s - batch_cost: 2.0901 - reader cost: 0.0042 105/125 [========================>.....] - ETA: 41s - batch_cost: 2.0895 - reader cost: 0.0041 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.0894 - reader cost: 0.0041 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.0893 - reader cost: 0.0041 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.0901 - reader cost: 0.0040 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.0904 - reader cost: 0.0040 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.0909 - reader cost: 0.0040 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.0911 - reader cost: 0.0039 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.0908 - reader cost: 0.0039 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.0910 - reader cost: 0.0039 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.0913 - reader cost: 0.0038 115/125 [==========================>...] - ETA: 20s - batch_cost: 2.0914 - reader cost: 0.0038 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.0915 - reader cost: 0.0038 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.0910 - reader cost: 0.0037 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.0912 - reader cost: 0.0037 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0908 - reader cost: 0.0037 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0909 - reader cost: 0.0037 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0911 - reader cost: 0.0036  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0906 - reader cost: 0.0036 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0905 - reader cost: 0.0036 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0899 - reader cost: 0.0035 125/125 [==============================] - 261s 2s/step - batch_cost: 2.0895 - reader cost: 0.0035 2021-08-22 21:19:11 [INFO] [EVAL] #Images: 500 mIoU: 0.8163 Acc: 0.9648 Kappa: 0.9544 2021-08-22 21:19:11 [INFO] [EVAL] Class IoU: [0.9804 0.8489 0.9354 0.6501 0.6563 0.692 0.7516 0.8203 0.9298 0.6433 0.9543 0.8459 0.6724 0.9593 0.8829 0.909 0.8688 0.7121 0.797 ] 2021-08-22 21:19:11 [INFO] [EVAL] Class Acc: [0.9942 0.8906 0.9651 0.8995 0.8547 0.8377 0.8691 0.9164 0.956 0.8429 0.9699 0.9062 0.8002 0.9769 0.962 0.9585 0.9703 0.8571 0.8792] 2021-08-22 21:19:13 [INFO] [EVAL] The model with the best validation mIoU (0.8194) was saved at iter 84000. 2021-08-22 21:19:26 [INFO] [TRAIN] epoch: 248, iter: 92010/160000, loss: 0.0642, lr: 0.000025, batch_cost: 1.2182, reader_cost: 0.00063, ips: 1.6417 samples/sec | ETA 23:00:26 2021-08-22 21:19:38 [INFO] [TRAIN] epoch: 248, iter: 92020/160000, loss: 0.0581, lr: 0.000025, batch_cost: 1.2252, reader_cost: 0.00023, ips: 1.6324 samples/sec | ETA 23:08:06 2021-08-22 21:19:50 [INFO] [TRAIN] epoch: 248, iter: 92030/160000, loss: 0.0658, lr: 0.000025, batch_cost: 1.2372, reader_cost: 0.00026, ips: 1.6166 samples/sec | ETA 23:21:31 2021-08-22 21:20:02 [INFO] [TRAIN] epoch: 248, iter: 92040/160000, loss: 0.0718, lr: 0.000025, batch_cost: 1.2203, reader_cost: 0.00023, ips: 1.6389 samples/sec | ETA 23:02:12 2021-08-22 21:20:15 [INFO] [TRAIN] epoch: 248, iter: 92050/160000, loss: 0.0527, lr: 0.000025, batch_cost: 1.2220, reader_cost: 0.00024, ips: 1.6366 samples/sec | ETA 23:03:57 2021-08-22 21:20:27 [INFO] [TRAIN] epoch: 248, iter: 92060/160000, loss: 0.0583, lr: 0.000025, batch_cost: 1.2266, reader_cost: 0.00023, ips: 1.6306 samples/sec | ETA 23:08:53 2021-08-22 21:20:39 [INFO] [TRAIN] epoch: 248, iter: 92070/160000, loss: 0.0627, lr: 0.000025, batch_cost: 1.2322, reader_cost: 0.00021, ips: 1.6231 samples/sec | ETA 23:15:03 2021-08-22 21:20:51 [INFO] [TRAIN] epoch: 248, iter: 92080/160000, loss: 0.0585, lr: 0.000025, batch_cost: 1.2206, reader_cost: 0.00023, ips: 1.6385 samples/sec | ETA 23:01:46 2021-08-22 21:21:04 [INFO] [TRAIN] epoch: 248, iter: 92090/160000, loss: 0.0790, lr: 0.000025, batch_cost: 1.2148, reader_cost: 0.00022, ips: 1.6464 samples/sec | ETA 22:54:56 2021-08-22 21:21:16 [INFO] [TRAIN] epoch: 248, iter: 92100/160000, loss: 0.0494, lr: 0.000025, batch_cost: 1.2396, reader_cost: 0.00022, ips: 1.6134 samples/sec | ETA 23:22:51 2021-08-22 21:21:28 [INFO] [TRAIN] epoch: 248, iter: 92110/160000, loss: 0.0537, lr: 0.000025, batch_cost: 1.2213, reader_cost: 0.00021, ips: 1.6376 samples/sec | ETA 23:01:52 2021-08-22 21:21:40 [INFO] [TRAIN] epoch: 248, iter: 92120/160000, loss: 0.0643, lr: 0.000025, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6384 samples/sec | ETA 23:00:59 2021-08-22 21:21:53 [INFO] [TRAIN] epoch: 248, iter: 92130/160000, loss: 0.0622, lr: 0.000025, batch_cost: 1.2259, reader_cost: 0.00023, ips: 1.6315 samples/sec | ETA 23:06:40 2021-08-22 21:22:05 [INFO] [TRAIN] epoch: 248, iter: 92140/160000, loss: 0.0476, lr: 0.000025, batch_cost: 1.2309, reader_cost: 0.00023, ips: 1.6248 samples/sec | ETA 23:12:08 2021-08-22 21:22:17 [INFO] [TRAIN] epoch: 248, iter: 92150/160000, loss: 0.0692, lr: 0.000025, batch_cost: 1.2385, reader_cost: 0.00020, ips: 1.6149 samples/sec | ETA 23:20:31 2021-08-22 21:22:30 [INFO] [TRAIN] epoch: 248, iter: 92160/160000, loss: 0.0645, lr: 0.000025, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6351 samples/sec | ETA 23:02:59 2021-08-22 21:22:42 [INFO] [TRAIN] epoch: 248, iter: 92170/160000, loss: 0.0531, lr: 0.000025, batch_cost: 1.2329, reader_cost: 0.00020, ips: 1.6222 samples/sec | ETA 23:13:49 2021-08-22 21:22:54 [INFO] [TRAIN] epoch: 248, iter: 92180/160000, loss: 0.0505, lr: 0.000025, batch_cost: 1.2098, reader_cost: 0.00020, ips: 1.6532 samples/sec | ETA 22:47:27 2021-08-22 21:23:06 [INFO] [TRAIN] epoch: 248, iter: 92190/160000, loss: 0.0666, lr: 0.000025, batch_cost: 1.2221, reader_cost: 0.00022, ips: 1.6365 samples/sec | ETA 23:01:09 2021-08-22 21:23:19 [INFO] [TRAIN] epoch: 248, iter: 92200/160000, loss: 0.0632, lr: 0.000025, batch_cost: 1.2278, reader_cost: 0.00024, ips: 1.6290 samples/sec | ETA 23:07:22 2021-08-22 21:23:31 [INFO] [TRAIN] epoch: 248, iter: 92210/160000, loss: 0.0499, lr: 0.000025, batch_cost: 1.2299, reader_cost: 0.00023, ips: 1.6261 samples/sec | ETA 23:09:37 2021-08-22 21:23:43 [INFO] [TRAIN] epoch: 248, iter: 92220/160000, loss: 0.0478, lr: 0.000025, batch_cost: 1.2286, reader_cost: 0.00022, ips: 1.6279 samples/sec | ETA 23:07:55 2021-08-22 21:23:56 [INFO] [TRAIN] epoch: 248, iter: 92230/160000, loss: 0.0482, lr: 0.000025, batch_cost: 1.2383, reader_cost: 0.00022, ips: 1.6151 samples/sec | ETA 23:18:38 2021-08-22 21:24:08 [INFO] [TRAIN] epoch: 248, iter: 92240/160000, loss: 0.0582, lr: 0.000025, batch_cost: 1.2368, reader_cost: 0.00021, ips: 1.6170 samples/sec | ETA 23:16:47 2021-08-22 21:24:20 [INFO] [TRAIN] epoch: 248, iter: 92250/160000, loss: 0.0564, lr: 0.000025, batch_cost: 1.1984, reader_cost: 0.00017, ips: 1.6688 samples/sec | ETA 22:33:14 2021-08-22 21:24:34 [INFO] [TRAIN] epoch: 249, iter: 92260/160000, loss: 0.0510, lr: 0.000025, batch_cost: 1.4554, reader_cost: 0.22166, ips: 1.3742 samples/sec | ETA 27:23:05 2021-08-22 21:24:47 [INFO] [TRAIN] epoch: 249, iter: 92270/160000, loss: 0.0568, lr: 0.000025, batch_cost: 1.2264, reader_cost: 0.00075, ips: 1.6308 samples/sec | ETA 23:04:21 2021-08-22 21:24:59 [INFO] [TRAIN] epoch: 249, iter: 92280/160000, loss: 0.0665, lr: 0.000025, batch_cost: 1.2267, reader_cost: 0.00021, ips: 1.6304 samples/sec | ETA 23:04:32 2021-08-22 21:25:11 [INFO] [TRAIN] epoch: 249, iter: 92290/160000, loss: 0.0547, lr: 0.000025, batch_cost: 1.2240, reader_cost: 0.00021, ips: 1.6339 samples/sec | ETA 23:01:20 2021-08-22 21:25:23 [INFO] [TRAIN] epoch: 249, iter: 92300/160000, loss: 0.0524, lr: 0.000025, batch_cost: 1.2120, reader_cost: 0.00020, ips: 1.6501 samples/sec | ETA 22:47:34 2021-08-22 21:25:36 [INFO] [TRAIN] epoch: 249, iter: 92310/160000, loss: 0.0642, lr: 0.000025, batch_cost: 1.2209, reader_cost: 0.00022, ips: 1.6382 samples/sec | ETA 22:57:19 2021-08-22 21:25:48 [INFO] [TRAIN] epoch: 249, iter: 92320/160000, loss: 0.0506, lr: 0.000025, batch_cost: 1.2194, reader_cost: 0.00024, ips: 1.6401 samples/sec | ETA 22:55:32 2021-08-22 21:26:00 [INFO] [TRAIN] epoch: 249, iter: 92330/160000, loss: 0.0392, lr: 0.000025, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6351 samples/sec | ETA 22:59:31 2021-08-22 21:26:12 [INFO] [TRAIN] epoch: 249, iter: 92340/160000, loss: 0.0640, lr: 0.000025, batch_cost: 1.2244, reader_cost: 0.00021, ips: 1.6335 samples/sec | ETA 23:00:39 2021-08-22 21:26:24 [INFO] [TRAIN] epoch: 249, iter: 92350/160000, loss: 0.0564, lr: 0.000025, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6254 samples/sec | ETA 23:07:18 2021-08-22 21:26:37 [INFO] [TRAIN] epoch: 249, iter: 92360/160000, loss: 0.0585, lr: 0.000025, batch_cost: 1.2328, reader_cost: 0.00022, ips: 1.6223 samples/sec | ETA 23:09:46 2021-08-22 21:26:49 [INFO] [TRAIN] epoch: 249, iter: 92370/160000, loss: 0.0544, lr: 0.000025, batch_cost: 1.2374, reader_cost: 0.00023, ips: 1.6162 samples/sec | ETA 23:14:47 2021-08-22 21:27:02 [INFO] [TRAIN] epoch: 249, iter: 92380/160000, loss: 0.0560, lr: 0.000025, batch_cost: 1.2354, reader_cost: 0.00022, ips: 1.6189 samples/sec | ETA 23:12:16 2021-08-22 21:27:14 [INFO] [TRAIN] epoch: 249, iter: 92390/160000, loss: 0.0709, lr: 0.000025, batch_cost: 1.2201, reader_cost: 0.00023, ips: 1.6392 samples/sec | ETA 22:54:50 2021-08-22 21:27:26 [INFO] [TRAIN] epoch: 249, iter: 92400/160000, loss: 0.0479, lr: 0.000025, batch_cost: 1.2205, reader_cost: 0.00022, ips: 1.6386 samples/sec | ETA 22:55:06 2021-08-22 21:27:38 [INFO] [TRAIN] epoch: 249, iter: 92410/160000, loss: 0.0578, lr: 0.000025, batch_cost: 1.2214, reader_cost: 0.00020, ips: 1.6375 samples/sec | ETA 22:55:52 2021-08-22 21:27:50 [INFO] [TRAIN] epoch: 249, iter: 92420/160000, loss: 0.0648, lr: 0.000025, batch_cost: 1.2144, reader_cost: 0.00023, ips: 1.6469 samples/sec | ETA 22:47:46 2021-08-22 21:28:03 [INFO] [TRAIN] epoch: 249, iter: 92430/160000, loss: 0.0654, lr: 0.000025, batch_cost: 1.2370, reader_cost: 0.00022, ips: 1.6168 samples/sec | ETA 23:13:05 2021-08-22 21:28:15 [INFO] [TRAIN] epoch: 249, iter: 92440/160000, loss: 0.0555, lr: 0.000025, batch_cost: 1.2324, reader_cost: 0.00021, ips: 1.6229 samples/sec | ETA 23:07:38 2021-08-22 21:28:27 [INFO] [TRAIN] epoch: 249, iter: 92450/160000, loss: 0.0527, lr: 0.000025, batch_cost: 1.2402, reader_cost: 0.00024, ips: 1.6127 samples/sec | ETA 23:16:14 2021-08-22 21:28:40 [INFO] [TRAIN] epoch: 249, iter: 92460/160000, loss: 0.0529, lr: 0.000025, batch_cost: 1.2320, reader_cost: 0.00027, ips: 1.6233 samples/sec | ETA 23:06:51 2021-08-22 21:28:52 [INFO] [TRAIN] epoch: 249, iter: 92470/160000, loss: 0.0581, lr: 0.000025, batch_cost: 1.2451, reader_cost: 0.00025, ips: 1.6063 samples/sec | ETA 23:21:21 2021-08-22 21:29:05 [INFO] [TRAIN] epoch: 249, iter: 92480/160000, loss: 0.0578, lr: 0.000025, batch_cost: 1.2357, reader_cost: 0.00027, ips: 1.6185 samples/sec | ETA 23:10:32 2021-08-22 21:29:17 [INFO] [TRAIN] epoch: 249, iter: 92490/160000, loss: 0.0629, lr: 0.000025, batch_cost: 1.2133, reader_cost: 0.00021, ips: 1.6484 samples/sec | ETA 22:45:08 2021-08-22 21:29:29 [INFO] [TRAIN] epoch: 249, iter: 92500/160000, loss: 0.0533, lr: 0.000025, batch_cost: 1.2336, reader_cost: 0.00022, ips: 1.6213 samples/sec | ETA 23:07:46 2021-08-22 21:29:41 [INFO] [TRAIN] epoch: 249, iter: 92510/160000, loss: 0.0659, lr: 0.000025, batch_cost: 1.2333, reader_cost: 0.00021, ips: 1.6216 samples/sec | ETA 23:07:17 2021-08-22 21:29:53 [INFO] [TRAIN] epoch: 249, iter: 92520/160000, loss: 0.0555, lr: 0.000025, batch_cost: 1.2070, reader_cost: 0.00020, ips: 1.6570 samples/sec | ETA 22:37:30 2021-08-22 21:30:06 [INFO] [TRAIN] epoch: 249, iter: 92530/160000, loss: 0.0624, lr: 0.000025, batch_cost: 1.2102, reader_cost: 0.00021, ips: 1.6527 samples/sec | ETA 22:40:50 2021-08-22 21:30:18 [INFO] [TRAIN] epoch: 249, iter: 92540/160000, loss: 0.0564, lr: 0.000025, batch_cost: 1.2253, reader_cost: 0.00021, ips: 1.6323 samples/sec | ETA 22:57:35 2021-08-22 21:30:30 [INFO] [TRAIN] epoch: 249, iter: 92550/160000, loss: 0.0716, lr: 0.000025, batch_cost: 1.2298, reader_cost: 0.00021, ips: 1.6262 samples/sec | ETA 23:02:32 2021-08-22 21:30:42 [INFO] [TRAIN] epoch: 249, iter: 92560/160000, loss: 0.0533, lr: 0.000025, batch_cost: 1.2174, reader_cost: 0.00021, ips: 1.6428 samples/sec | ETA 22:48:24 2021-08-22 21:30:54 [INFO] [TRAIN] epoch: 249, iter: 92570/160000, loss: 0.0471, lr: 0.000025, batch_cost: 1.2229, reader_cost: 0.00022, ips: 1.6355 samples/sec | ETA 22:54:17 2021-08-22 21:31:07 [INFO] [TRAIN] epoch: 249, iter: 92580/160000, loss: 0.0466, lr: 0.000025, batch_cost: 1.2287, reader_cost: 0.00021, ips: 1.6278 samples/sec | ETA 23:00:37 2021-08-22 21:31:19 [INFO] [TRAIN] epoch: 249, iter: 92590/160000, loss: 0.0518, lr: 0.000025, batch_cost: 1.2327, reader_cost: 0.00023, ips: 1.6225 samples/sec | ETA 23:04:53 2021-08-22 21:31:31 [INFO] [TRAIN] epoch: 249, iter: 92600/160000, loss: 0.0611, lr: 0.000025, batch_cost: 1.2158, reader_cost: 0.00022, ips: 1.6450 samples/sec | ETA 22:45:43 2021-08-22 21:31:44 [INFO] [TRAIN] epoch: 249, iter: 92610/160000, loss: 0.0526, lr: 0.000025, batch_cost: 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22:53:20 2021-08-22 21:37:42 [INFO] [TRAIN] epoch: 250, iter: 92900/160000, loss: 0.0488, lr: 0.000025, batch_cost: 1.2356, reader_cost: 0.00024, ips: 1.6187 samples/sec | ETA 23:01:47 2021-08-22 21:37:54 [INFO] [TRAIN] epoch: 250, iter: 92910/160000, loss: 0.0624, lr: 0.000025, batch_cost: 1.2320, reader_cost: 0.00022, ips: 1.6234 samples/sec | ETA 22:57:34 2021-08-22 21:38:06 [INFO] [TRAIN] epoch: 250, iter: 92920/160000, loss: 0.0594, lr: 0.000025, batch_cost: 1.2299, reader_cost: 0.00021, ips: 1.6261 samples/sec | ETA 22:55:01 2021-08-22 21:38:19 [INFO] [TRAIN] epoch: 250, iter: 92930/160000, loss: 0.0557, lr: 0.000025, batch_cost: 1.2357, reader_cost: 0.00023, ips: 1.6185 samples/sec | ETA 23:01:19 2021-08-22 21:38:31 [INFO] [TRAIN] epoch: 250, iter: 92940/160000, loss: 0.0604, lr: 0.000025, batch_cost: 1.2389, reader_cost: 0.00023, ips: 1.6143 samples/sec | ETA 23:04:43 2021-08-22 21:38:43 [INFO] [TRAIN] epoch: 250, iter: 92950/160000, loss: 0.0522, lr: 0.000025, batch_cost: 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22:43:21 2021-08-22 21:41:12 [INFO] [TRAIN] epoch: 251, iter: 93070/160000, loss: 0.0528, lr: 0.000025, batch_cost: 1.2190, reader_cost: 0.00021, ips: 1.6407 samples/sec | ETA 22:39:47 2021-08-22 21:41:25 [INFO] [TRAIN] epoch: 251, iter: 93080/160000, loss: 0.0545, lr: 0.000025, batch_cost: 1.2340, reader_cost: 0.00022, ips: 1.6207 samples/sec | ETA 22:56:21 2021-08-22 21:41:37 [INFO] [TRAIN] epoch: 251, iter: 93090/160000, loss: 0.0649, lr: 0.000025, batch_cost: 1.2170, reader_cost: 0.00021, ips: 1.6433 samples/sec | ETA 22:37:12 2021-08-22 21:41:49 [INFO] [TRAIN] epoch: 251, iter: 93100/160000, loss: 0.0615, lr: 0.000025, batch_cost: 1.2361, reader_cost: 0.00021, ips: 1.6179 samples/sec | ETA 22:58:18 2021-08-22 21:42:02 [INFO] [TRAIN] epoch: 251, iter: 93110/160000, loss: 0.0576, lr: 0.000025, batch_cost: 1.2371, reader_cost: 0.00021, ips: 1.6167 samples/sec | ETA 22:59:11 2021-08-22 21:42:14 [INFO] [TRAIN] epoch: 251, iter: 93120/160000, loss: 0.0562, lr: 0.000025, batch_cost: 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22:20:52 2021-08-22 22:05:39 [INFO] [TRAIN] epoch: 254, iter: 94260/160000, loss: 0.0611, lr: 0.000025, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6345 samples/sec | ETA 22:20:40 2021-08-22 22:05:52 [INFO] [TRAIN] epoch: 254, iter: 94270/160000, loss: 0.0760, lr: 0.000025, batch_cost: 1.2227, reader_cost: 0.00021, ips: 1.6358 samples/sec | ETA 22:19:25 2021-08-22 22:06:04 [INFO] [TRAIN] epoch: 254, iter: 94280/160000, loss: 0.0461, lr: 0.000025, batch_cost: 1.2272, reader_cost: 0.00022, ips: 1.6297 samples/sec | ETA 22:24:10 2021-08-22 22:06:16 [INFO] [TRAIN] epoch: 254, iter: 94290/160000, loss: 0.0622, lr: 0.000025, batch_cost: 1.2249, reader_cost: 0.00023, ips: 1.6328 samples/sec | ETA 22:21:28 2021-08-22 22:06:28 [INFO] [TRAIN] epoch: 254, iter: 94300/160000, loss: 0.0723, lr: 0.000025, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6321 samples/sec | ETA 22:21:50 2021-08-22 22:06:41 [INFO] [TRAIN] epoch: 254, iter: 94310/160000, loss: 0.0474, lr: 0.000025, batch_cost: 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iter: 94370/160000, loss: 0.0510, lr: 0.000025, batch_cost: 1.2281, reader_cost: 0.00021, ips: 1.6285 samples/sec | ETA 22:23:21 2021-08-22 22:08:07 [INFO] [TRAIN] epoch: 254, iter: 94380/160000, loss: 0.0530, lr: 0.000025, batch_cost: 1.2299, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 22:25:02 2021-08-22 22:08:19 [INFO] [TRAIN] epoch: 254, iter: 94390/160000, loss: 0.0523, lr: 0.000025, batch_cost: 1.2524, reader_cost: 0.00023, ips: 1.5970 samples/sec | ETA 22:49:28 2021-08-22 22:08:32 [INFO] [TRAIN] epoch: 254, iter: 94400/160000, loss: 0.0585, lr: 0.000025, batch_cost: 1.2323, reader_cost: 0.00022, ips: 1.6229 samples/sec | ETA 22:27:21 2021-08-22 22:08:44 [INFO] [TRAIN] epoch: 254, iter: 94410/160000, loss: 0.0552, lr: 0.000025, batch_cost: 1.2135, reader_cost: 0.00021, ips: 1.6481 samples/sec | ETA 22:06:33 2021-08-22 22:08:56 [INFO] [TRAIN] epoch: 254, iter: 94420/160000, loss: 0.0500, lr: 0.000025, batch_cost: 1.2458, reader_cost: 0.00023, ips: 1.6054 samples/sec | ETA 22:41:41 2021-08-22 22:09:09 [INFO] [TRAIN] epoch: 254, iter: 94430/160000, loss: 0.0665, lr: 0.000025, batch_cost: 1.2516, reader_cost: 0.00021, ips: 1.5979 samples/sec | ETA 22:47:50 2021-08-22 22:09:21 [INFO] [TRAIN] epoch: 254, iter: 94440/160000, loss: 0.0542, lr: 0.000025, batch_cost: 1.2268, reader_cost: 0.00022, ips: 1.6302 samples/sec | ETA 22:20:32 2021-08-22 22:09:33 [INFO] [TRAIN] epoch: 254, iter: 94450/160000, loss: 0.0464, lr: 0.000025, batch_cost: 1.2309, reader_cost: 0.00023, ips: 1.6248 samples/sec | ETA 22:24:47 2021-08-22 22:09:46 [INFO] [TRAIN] epoch: 254, iter: 94460/160000, loss: 0.0633, lr: 0.000025, batch_cost: 1.2291, reader_cost: 0.00023, ips: 1.6273 samples/sec | ETA 22:22:32 2021-08-22 22:09:58 [INFO] [TRAIN] epoch: 254, iter: 94470/160000, loss: 0.0445, lr: 0.000025, batch_cost: 1.2287, reader_cost: 0.00024, ips: 1.6278 samples/sec | ETA 22:21:55 2021-08-22 22:10:10 [INFO] [TRAIN] epoch: 254, iter: 94480/160000, loss: 0.0639, lr: 0.000025, batch_cost: 1.2084, reader_cost: 0.00023, ips: 1.6551 samples/sec | ETA 21:59:33 2021-08-22 22:10:25 [INFO] [TRAIN] epoch: 255, iter: 94490/160000, loss: 0.0497, lr: 0.000025, batch_cost: 1.4688, reader_cost: 0.22806, ips: 1.3617 samples/sec | ETA 26:43:38 2021-08-22 22:10:37 [INFO] [TRAIN] epoch: 255, iter: 94500/160000, loss: 0.0625, lr: 0.000025, batch_cost: 1.2174, reader_cost: 0.00078, ips: 1.6428 samples/sec | ETA 22:09:02 2021-08-22 22:10:49 [INFO] [TRAIN] epoch: 255, iter: 94510/160000, loss: 0.0720, lr: 0.000025, batch_cost: 1.2191, reader_cost: 0.00021, ips: 1.6406 samples/sec | ETA 22:10:35 2021-08-22 22:11:01 [INFO] [TRAIN] epoch: 255, iter: 94520/160000, loss: 0.0552, lr: 0.000025, batch_cost: 1.2241, reader_cost: 0.00025, ips: 1.6338 samples/sec | ETA 22:15:55 2021-08-22 22:11:14 [INFO] [TRAIN] epoch: 255, iter: 94530/160000, loss: 0.0594, lr: 0.000025, batch_cost: 1.2310, reader_cost: 0.00022, ips: 1.6247 samples/sec | ETA 22:23:12 2021-08-22 22:11:26 [INFO] [TRAIN] epoch: 255, 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22:12:24 2021-08-22 22:12:39 [INFO] [TRAIN] epoch: 255, iter: 94600/160000, loss: 0.0616, lr: 0.000025, batch_cost: 1.2150, reader_cost: 0.00021, ips: 1.6461 samples/sec | ETA 22:04:19 2021-08-22 22:12:51 [INFO] [TRAIN] epoch: 255, iter: 94610/160000, loss: 0.0547, lr: 0.000025, batch_cost: 1.2043, reader_cost: 0.00019, ips: 1.6608 samples/sec | ETA 21:52:26 2021-08-22 22:13:04 [INFO] [TRAIN] epoch: 255, iter: 94620/160000, loss: 0.0589, lr: 0.000025, batch_cost: 1.2384, reader_cost: 0.00021, ips: 1.6149 samples/sec | ETA 22:29:28 2021-08-22 22:13:16 [INFO] [TRAIN] epoch: 255, iter: 94630/160000, loss: 0.0561, lr: 0.000025, batch_cost: 1.2300, reader_cost: 0.00020, ips: 1.6260 samples/sec | ETA 22:20:08 2021-08-22 22:13:28 [INFO] [TRAIN] epoch: 255, iter: 94640/160000, loss: 0.0575, lr: 0.000025, batch_cost: 1.2168, reader_cost: 0.00020, ips: 1.6437 samples/sec | ETA 22:05:27 2021-08-22 22:13:41 [INFO] [TRAIN] epoch: 255, iter: 94650/160000, loss: 0.0621, lr: 0.000025, batch_cost: 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22:12:49 2021-08-22 22:16:08 [INFO] [TRAIN] epoch: 255, iter: 94770/160000, loss: 0.0533, lr: 0.000024, batch_cost: 1.2272, reader_cost: 0.00022, ips: 1.6297 samples/sec | ETA 22:14:11 2021-08-22 22:16:20 [INFO] [TRAIN] epoch: 255, iter: 94780/160000, loss: 0.0442, lr: 0.000024, batch_cost: 1.2227, reader_cost: 0.00022, ips: 1.6358 samples/sec | ETA 22:09:02 2021-08-22 22:16:33 [INFO] [TRAIN] epoch: 255, iter: 94790/160000, loss: 0.0552, lr: 0.000024, batch_cost: 1.2374, reader_cost: 0.00026, ips: 1.6162 samples/sec | ETA 22:24:53 2021-08-22 22:16:45 [INFO] [TRAIN] epoch: 255, iter: 94800/160000, loss: 0.0641, lr: 0.000024, batch_cost: 1.2259, reader_cost: 0.00020, ips: 1.6314 samples/sec | ETA 22:12:11 2021-08-22 22:16:57 [INFO] [TRAIN] epoch: 255, iter: 94810/160000, loss: 0.0611, lr: 0.000024, batch_cost: 1.2232, reader_cost: 0.00021, ips: 1.6351 samples/sec | ETA 22:08:57 2021-08-22 22:17:09 [INFO] [TRAIN] epoch: 255, iter: 94820/160000, loss: 0.0692, lr: 0.000024, batch_cost: 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iter: 94880/160000, loss: 0.0587, lr: 0.000024, batch_cost: 1.2302, reader_cost: 0.00074, ips: 1.6258 samples/sec | ETA 22:15:08 2021-08-22 22:18:37 [INFO] [TRAIN] epoch: 256, iter: 94890/160000, loss: 0.0582, lr: 0.000024, batch_cost: 1.2232, reader_cost: 0.00023, ips: 1.6351 samples/sec | ETA 22:07:21 2021-08-22 22:18:49 [INFO] [TRAIN] epoch: 256, iter: 94900/160000, loss: 0.0571, lr: 0.000024, batch_cost: 1.2302, reader_cost: 0.00022, ips: 1.6258 samples/sec | ETA 22:14:44 2021-08-22 22:19:02 [INFO] [TRAIN] epoch: 256, iter: 94910/160000, loss: 0.0593, lr: 0.000024, batch_cost: 1.2178, reader_cost: 0.00022, ips: 1.6423 samples/sec | ETA 22:01:04 2021-08-22 22:19:14 [INFO] [TRAIN] epoch: 256, iter: 94920/160000, loss: 0.0640, lr: 0.000024, batch_cost: 1.2372, reader_cost: 0.00024, ips: 1.6165 samples/sec | ETA 22:21:57 2021-08-22 22:19:26 [INFO] [TRAIN] epoch: 256, iter: 94930/160000, loss: 0.0594, lr: 0.000024, batch_cost: 1.2135, reader_cost: 0.00022, ips: 1.6481 samples/sec | ETA 21:56:01 2021-08-22 22:19:38 [INFO] [TRAIN] epoch: 256, iter: 94940/160000, loss: 0.0459, lr: 0.000024, batch_cost: 1.2280, reader_cost: 0.00021, ips: 1.6286 samples/sec | ETA 22:11:36 2021-08-22 22:19:51 [INFO] [TRAIN] epoch: 256, iter: 94950/160000, loss: 0.0619, lr: 0.000024, batch_cost: 1.2158, reader_cost: 0.00021, ips: 1.6450 samples/sec | ETA 21:58:08 2021-08-22 22:20:03 [INFO] [TRAIN] epoch: 256, iter: 94960/160000, loss: 0.0500, lr: 0.000024, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6364 samples/sec | ETA 22:04:50 2021-08-22 22:20:15 [INFO] [TRAIN] epoch: 256, iter: 94970/160000, loss: 0.0618, lr: 0.000024, batch_cost: 1.2260, reader_cost: 0.00022, ips: 1.6313 samples/sec | ETA 22:08:49 2021-08-22 22:20:27 [INFO] [TRAIN] epoch: 256, iter: 94980/160000, loss: 0.0522, lr: 0.000024, batch_cost: 1.2343, reader_cost: 0.00022, ips: 1.6203 samples/sec | ETA 22:17:34 2021-08-22 22:20:40 [INFO] [TRAIN] epoch: 256, iter: 94990/160000, loss: 0.0581, lr: 0.000024, batch_cost: 1.2273, reader_cost: 0.00021, ips: 1.6296 samples/sec | ETA 22:09:47 2021-08-22 22:20:52 [INFO] [TRAIN] epoch: 256, iter: 95000/160000, loss: 0.0569, lr: 0.000024, batch_cost: 1.2092, reader_cost: 0.00021, ips: 1.6540 samples/sec | ETA 21:49:58 2021-08-22 22:21:04 [INFO] [TRAIN] epoch: 256, iter: 95010/160000, loss: 0.0605, lr: 0.000024, batch_cost: 1.2306, reader_cost: 0.00023, ips: 1.6253 samples/sec | ETA 22:12:54 2021-08-22 22:21:16 [INFO] [TRAIN] epoch: 256, iter: 95020/160000, loss: 0.0541, lr: 0.000024, batch_cost: 1.2344, reader_cost: 0.00023, ips: 1.6202 samples/sec | ETA 22:16:51 2021-08-22 22:21:29 [INFO] [TRAIN] epoch: 256, iter: 95030/160000, loss: 0.0627, lr: 0.000024, batch_cost: 1.2426, reader_cost: 0.00022, ips: 1.6095 samples/sec | ETA 22:25:32 2021-08-22 22:21:41 [INFO] [TRAIN] epoch: 256, iter: 95040/160000, loss: 0.0576, lr: 0.000024, batch_cost: 1.2140, reader_cost: 0.00021, ips: 1.6475 samples/sec | ETA 21:54:20 2021-08-22 22:21:53 [INFO] [TRAIN] epoch: 256, 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22:01:53 2021-08-22 22:23:07 [INFO] [TRAIN] epoch: 256, iter: 95110/160000, loss: 0.0551, lr: 0.000024, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6345 samples/sec | ETA 22:03:18 2021-08-22 22:23:19 [INFO] [TRAIN] epoch: 256, iter: 95120/160000, loss: 0.0522, lr: 0.000024, batch_cost: 1.2180, reader_cost: 0.00021, ips: 1.6420 samples/sec | ETA 21:57:06 2021-08-22 22:23:31 [INFO] [TRAIN] epoch: 256, iter: 95130/160000, loss: 0.0523, lr: 0.000024, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6321 samples/sec | ETA 22:04:52 2021-08-22 22:23:43 [INFO] [TRAIN] epoch: 256, iter: 95140/160000, loss: 0.0540, lr: 0.000024, batch_cost: 1.2205, reader_cost: 0.00022, ips: 1.6387 samples/sec | ETA 21:59:19 2021-08-22 22:23:55 [INFO] [TRAIN] epoch: 256, iter: 95150/160000, loss: 0.0493, lr: 0.000024, batch_cost: 1.2280, reader_cost: 0.00023, ips: 1.6287 samples/sec | ETA 22:07:14 2021-08-22 22:24:08 [INFO] [TRAIN] epoch: 256, iter: 95160/160000, loss: 0.0706, lr: 0.000024, batch_cost: 1.2385, reader_cost: 0.00021, ips: 1.6149 samples/sec | ETA 22:18:21 2021-08-22 22:24:20 [INFO] [TRAIN] epoch: 256, iter: 95170/160000, loss: 0.0571, lr: 0.000024, batch_cost: 1.2296, reader_cost: 0.00022, ips: 1.6265 samples/sec | ETA 22:08:35 2021-08-22 22:24:32 [INFO] [TRAIN] epoch: 256, iter: 95180/160000, loss: 0.0539, lr: 0.000024, batch_cost: 1.2313, reader_cost: 0.00021, ips: 1.6243 samples/sec | ETA 22:10:15 2021-08-22 22:24:45 [INFO] [TRAIN] epoch: 256, iter: 95190/160000, loss: 0.0644, lr: 0.000024, batch_cost: 1.2305, reader_cost: 0.00022, ips: 1.6253 samples/sec | ETA 22:09:09 2021-08-22 22:24:57 [INFO] [TRAIN] epoch: 256, iter: 95200/160000, loss: 0.0573, lr: 0.000024, batch_cost: 1.2531, reader_cost: 0.00023, ips: 1.5961 samples/sec | ETA 22:33:19 2021-08-22 22:25:10 [INFO] [TRAIN] epoch: 256, iter: 95210/160000, loss: 0.0544, lr: 0.000024, batch_cost: 1.2415, reader_cost: 0.00027, ips: 1.6110 samples/sec | ETA 22:20:36 2021-08-22 22:25:22 [INFO] [TRAIN] epoch: 256, iter: 95220/160000, loss: 0.0653, lr: 0.000024, batch_cost: 1.2146, reader_cost: 0.00022, ips: 1.6466 samples/sec | ETA 21:51:22 2021-08-22 22:25:34 [INFO] [TRAIN] epoch: 256, iter: 95230/160000, loss: 0.0460, lr: 0.000024, batch_cost: 1.1852, reader_cost: 0.00016, ips: 1.6875 samples/sec | ETA 21:19:26 2021-08-22 22:25:49 [INFO] [TRAIN] epoch: 257, iter: 95240/160000, loss: 0.0473, lr: 0.000024, batch_cost: 1.4986, reader_cost: 0.21864, ips: 1.3346 samples/sec | ETA 26:57:29 2021-08-22 22:26:01 [INFO] [TRAIN] epoch: 257, iter: 95250/160000, loss: 0.0588, lr: 0.000024, batch_cost: 1.2331, reader_cost: 0.00090, ips: 1.6220 samples/sec | ETA 22:10:42 2021-08-22 22:26:13 [INFO] [TRAIN] epoch: 257, iter: 95260/160000, loss: 0.0602, lr: 0.000024, batch_cost: 1.2348, reader_cost: 0.00022, ips: 1.6197 samples/sec | ETA 22:12:22 2021-08-22 22:26:26 [INFO] [TRAIN] epoch: 257, iter: 95270/160000, loss: 0.0666, lr: 0.000024, batch_cost: 1.2273, reader_cost: 0.00022, ips: 1.6296 samples/sec | ETA 22:04:03 2021-08-22 22:26:38 [INFO] [TRAIN] epoch: 257, iter: 95280/160000, loss: 0.0534, lr: 0.000024, batch_cost: 1.2295, reader_cost: 0.00021, ips: 1.6267 samples/sec | ETA 22:06:12 2021-08-22 22:26:50 [INFO] [TRAIN] epoch: 257, iter: 95290/160000, loss: 0.0589, lr: 0.000024, batch_cost: 1.2336, reader_cost: 0.00075, ips: 1.6213 samples/sec | ETA 22:10:23 2021-08-22 22:27:03 [INFO] [TRAIN] epoch: 257, iter: 95300/160000, loss: 0.0551, lr: 0.000024, batch_cost: 1.2219, reader_cost: 0.00024, ips: 1.6368 samples/sec | ETA 21:57:37 2021-08-22 22:27:15 [INFO] [TRAIN] epoch: 257, iter: 95310/160000, loss: 0.0565, lr: 0.000024, batch_cost: 1.2152, reader_cost: 0.00022, ips: 1.6458 samples/sec | ETA 21:50:10 2021-08-22 22:27:27 [INFO] [TRAIN] epoch: 257, iter: 95320/160000, loss: 0.0444, lr: 0.000024, batch_cost: 1.2294, reader_cost: 0.00020, ips: 1.6268 samples/sec | ETA 22:05:19 2021-08-22 22:27:39 [INFO] [TRAIN] epoch: 257, iter: 95330/160000, loss: 0.0500, lr: 0.000024, batch_cost: 1.2161, reader_cost: 0.00022, ips: 1.6447 samples/sec | ETA 21:50:42 2021-08-22 22:27:51 [INFO] [TRAIN] epoch: 257, iter: 95340/160000, loss: 0.0717, lr: 0.000024, batch_cost: 1.2179, reader_cost: 0.00021, ips: 1.6422 samples/sec | ETA 21:52:28 2021-08-22 22:28:04 [INFO] [TRAIN] epoch: 257, iter: 95350/160000, loss: 0.0644, lr: 0.000024, batch_cost: 1.2311, reader_cost: 0.00020, ips: 1.6246 samples/sec | ETA 22:06:30 2021-08-22 22:28:16 [INFO] [TRAIN] epoch: 257, iter: 95360/160000, loss: 0.0658, lr: 0.000024, batch_cost: 1.2152, reader_cost: 0.00020, ips: 1.6458 samples/sec | ETA 21:49:09 2021-08-22 22:28:28 [INFO] [TRAIN] epoch: 257, iter: 95370/160000, loss: 0.0579, lr: 0.000024, batch_cost: 1.2425, reader_cost: 0.00022, ips: 1.6096 samples/sec | ETA 22:18:24 2021-08-22 22:28:41 [INFO] [TRAIN] epoch: 257, iter: 95380/160000, loss: 0.0501, lr: 0.000024, batch_cost: 1.2333, reader_cost: 0.00022, ips: 1.6217 samples/sec | ETA 22:08:13 2021-08-22 22:28:53 [INFO] [TRAIN] epoch: 257, iter: 95390/160000, loss: 0.0745, lr: 0.000024, batch_cost: 1.2162, reader_cost: 0.00023, ips: 1.6445 samples/sec | ETA 21:49:37 2021-08-22 22:29:05 [INFO] [TRAIN] epoch: 257, iter: 95400/160000, loss: 0.0638, lr: 0.000024, batch_cost: 1.2150, reader_cost: 0.00024, ips: 1.6461 samples/sec | ETA 21:48:07 2021-08-22 22:29:17 [INFO] [TRAIN] epoch: 257, iter: 95410/160000, loss: 0.0494, lr: 0.000024, batch_cost: 1.2232, reader_cost: 0.00023, ips: 1.6350 samples/sec | ETA 21:56:48 2021-08-22 22:29:29 [INFO] [TRAIN] epoch: 257, iter: 95420/160000, loss: 0.0550, lr: 0.000024, batch_cost: 1.2255, reader_cost: 0.00022, ips: 1.6320 samples/sec | ETA 21:59:03 2021-08-22 22:29:41 [INFO] [TRAIN] epoch: 257, iter: 95430/160000, loss: 0.0568, lr: 0.000024, batch_cost: 1.2069, reader_cost: 0.00020, ips: 1.6571 samples/sec | ETA 21:38:52 2021-08-22 22:29:54 [INFO] [TRAIN] epoch: 257, iter: 95440/160000, loss: 0.0532, lr: 0.000024, batch_cost: 1.2259, reader_cost: 0.00020, ips: 1.6314 samples/sec | ETA 21:59:05 2021-08-22 22:30:06 [INFO] [TRAIN] epoch: 257, iter: 95450/160000, loss: 0.0577, lr: 0.000024, batch_cost: 1.2149, reader_cost: 0.00020, ips: 1.6462 samples/sec | ETA 21:47:02 2021-08-22 22:30:18 [INFO] [TRAIN] epoch: 257, iter: 95460/160000, loss: 0.0596, lr: 0.000024, batch_cost: 1.2070, reader_cost: 0.00020, ips: 1.6569 samples/sec | ETA 21:38:22 2021-08-22 22:30:30 [INFO] [TRAIN] epoch: 257, iter: 95470/160000, loss: 0.0441, lr: 0.000024, batch_cost: 1.2196, reader_cost: 0.00020, ips: 1.6399 samples/sec | ETA 21:51:38 2021-08-22 22:30:42 [INFO] [TRAIN] epoch: 257, iter: 95480/160000, loss: 0.0450, lr: 0.000024, batch_cost: 1.2160, reader_cost: 0.00021, ips: 1.6447 samples/sec | ETA 21:47:39 2021-08-22 22:30:54 [INFO] [TRAIN] epoch: 257, iter: 95490/160000, loss: 0.0664, lr: 0.000024, batch_cost: 1.2152, reader_cost: 0.00022, ips: 1.6458 samples/sec | ETA 21:46:35 2021-08-22 22:31:07 [INFO] [TRAIN] epoch: 257, iter: 95500/160000, loss: 0.0602, lr: 0.000024, batch_cost: 1.2327, reader_cost: 0.00023, ips: 1.6225 samples/sec | ETA 22:05:08 2021-08-22 22:31:19 [INFO] [TRAIN] epoch: 257, iter: 95510/160000, loss: 0.0552, lr: 0.000024, batch_cost: 1.2367, reader_cost: 0.00022, ips: 1.6172 samples/sec | ETA 22:09:15 2021-08-22 22:31:31 [INFO] [TRAIN] epoch: 257, iter: 95520/160000, loss: 0.0558, lr: 0.000024, batch_cost: 1.2378, reader_cost: 0.00022, ips: 1.6158 samples/sec | ETA 22:10:12 2021-08-22 22:31:44 [INFO] [TRAIN] epoch: 257, iter: 95530/160000, loss: 0.0664, lr: 0.000024, batch_cost: 1.2332, reader_cost: 0.00023, ips: 1.6218 samples/sec | ETA 22:05:05 2021-08-22 22:31:56 [INFO] [TRAIN] epoch: 257, iter: 95540/160000, loss: 0.0680, lr: 0.000024, batch_cost: 1.2153, reader_cost: 0.00022, ips: 1.6456 samples/sec | ETA 21:45:41 2021-08-22 22:32:09 [INFO] [TRAIN] epoch: 257, iter: 95550/160000, loss: 0.0438, lr: 0.000024, batch_cost: 1.2571, reader_cost: 0.00022, ips: 1.5910 samples/sec | ETA 22:30:19 2021-08-22 22:32:21 [INFO] [TRAIN] epoch: 257, iter: 95560/160000, loss: 0.0568, lr: 0.000024, batch_cost: 1.2279, reader_cost: 0.00021, ips: 1.6287 samples/sec | ETA 21:58:48 2021-08-22 22:32:33 [INFO] [TRAIN] epoch: 257, iter: 95570/160000, loss: 0.0653, lr: 0.000024, batch_cost: 1.2125, reader_cost: 0.00020, ips: 1.6494 samples/sec | ETA 21:42:03 2021-08-22 22:32:45 [INFO] [TRAIN] epoch: 257, iter: 95580/160000, loss: 0.0520, lr: 0.000024, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6359 samples/sec | ETA 21:52:36 2021-08-22 22:32:58 [INFO] [TRAIN] epoch: 257, iter: 95590/160000, loss: 0.0567, lr: 0.000024, batch_cost: 1.2369, reader_cost: 0.00021, ips: 1.6169 samples/sec | ETA 22:07:51 2021-08-22 22:33:09 [INFO] [TRAIN] epoch: 257, iter: 95600/160000, loss: 0.0545, lr: 0.000024, batch_cost: 1.1906, reader_cost: 0.00016, ips: 1.6799 samples/sec | ETA 21:17:52 2021-08-22 22:33:24 [INFO] [TRAIN] epoch: 258, iter: 95610/160000, loss: 0.0479, lr: 0.000024, batch_cost: 1.4960, reader_cost: 0.24567, ips: 1.3369 samples/sec | ETA 26:45:27 2021-08-22 22:33:37 [INFO] [TRAIN] epoch: 258, iter: 95620/160000, loss: 0.0623, lr: 0.000024, batch_cost: 1.2322, reader_cost: 0.00077, ips: 1.6231 samples/sec | ETA 22:02:11 2021-08-22 22:33:49 [INFO] [TRAIN] epoch: 258, iter: 95630/160000, loss: 0.0528, lr: 0.000024, batch_cost: 1.2176, reader_cost: 0.00022, ips: 1.6425 samples/sec | ETA 21:46:18 2021-08-22 22:34:01 [INFO] [TRAIN] epoch: 258, iter: 95640/160000, loss: 0.0518, lr: 0.000024, batch_cost: 1.2371, reader_cost: 0.00023, ips: 1.6167 samples/sec | ETA 22:06:57 2021-08-22 22:34:14 [INFO] [TRAIN] epoch: 258, iter: 95650/160000, loss: 0.0613, lr: 0.000024, batch_cost: 1.2236, reader_cost: 0.00023, ips: 1.6345 samples/sec | ETA 21:52:20 2021-08-22 22:34:26 [INFO] [TRAIN] epoch: 258, iter: 95660/160000, loss: 0.0621, lr: 0.000024, batch_cost: 1.2350, reader_cost: 0.00026, ips: 1.6194 samples/sec | ETA 22:04:21 2021-08-22 22:34:38 [INFO] [TRAIN] epoch: 258, iter: 95670/160000, loss: 0.0539, lr: 0.000024, batch_cost: 1.2379, reader_cost: 0.00026, ips: 1.6156 samples/sec | ETA 22:07:14 2021-08-22 22:34:51 [INFO] [TRAIN] epoch: 258, iter: 95680/160000, loss: 0.0623, lr: 0.000024, batch_cost: 1.2375, reader_cost: 0.00027, ips: 1.6162 samples/sec | ETA 22:06:36 2021-08-22 22:35:03 [INFO] [TRAIN] epoch: 258, iter: 95690/160000, loss: 0.0463, lr: 0.000024, batch_cost: 1.2323, reader_cost: 0.00025, ips: 1.6230 samples/sec | ETA 22:00:48 2021-08-22 22:35:15 [INFO] [TRAIN] epoch: 258, iter: 95700/160000, loss: 0.0518, lr: 0.000024, batch_cost: 1.2443, reader_cost: 0.00023, ips: 1.6074 samples/sec | ETA 22:13:27 2021-08-22 22:35:28 [INFO] [TRAIN] epoch: 258, iter: 95710/160000, loss: 0.0588, lr: 0.000024, batch_cost: 1.2154, reader_cost: 0.00022, ips: 1.6455 samples/sec | ETA 21:42:20 2021-08-22 22:35:40 [INFO] [TRAIN] epoch: 258, iter: 95720/160000, loss: 0.0469, lr: 0.000024, batch_cost: 1.2234, reader_cost: 0.00021, ips: 1.6348 samples/sec | ETA 21:50:40 2021-08-22 22:35:52 [INFO] [TRAIN] epoch: 258, iter: 95730/160000, loss: 0.0550, lr: 0.000024, batch_cost: 1.2389, reader_cost: 0.00021, ips: 1.6143 samples/sec | ETA 22:07:05 2021-08-22 22:36:04 [INFO] [TRAIN] epoch: 258, iter: 95740/160000, loss: 0.0707, lr: 0.000024, batch_cost: 1.2309, reader_cost: 0.00024, ips: 1.6248 samples/sec | ETA 21:58:18 2021-08-22 22:36:17 [INFO] [TRAIN] epoch: 258, iter: 95750/160000, loss: 0.0498, lr: 0.000024, batch_cost: 1.2429, reader_cost: 0.00022, ips: 1.6091 samples/sec | ETA 22:10:55 2021-08-22 22:36:29 [INFO] [TRAIN] epoch: 258, iter: 95760/160000, loss: 0.0568, lr: 0.000024, batch_cost: 1.2308, reader_cost: 0.00023, ips: 1.6250 samples/sec | ETA 21:57:46 2021-08-22 22:36:41 [INFO] [TRAIN] epoch: 258, iter: 95770/160000, loss: 0.0622, lr: 0.000024, batch_cost: 1.2215, reader_cost: 0.00023, ips: 1.6373 samples/sec | ETA 21:47:37 2021-08-22 22:36:54 [INFO] [TRAIN] epoch: 258, iter: 95780/160000, loss: 0.0620, lr: 0.000024, batch_cost: 1.2129, reader_cost: 0.00022, ips: 1.6490 samples/sec | ETA 21:38:11 2021-08-22 22:37:06 [INFO] [TRAIN] epoch: 258, iter: 95790/160000, loss: 0.0692, lr: 0.000024, batch_cost: 1.2234, reader_cost: 0.00021, ips: 1.6348 samples/sec | ETA 21:49:13 2021-08-22 22:37:18 [INFO] [TRAIN] epoch: 258, iter: 95800/160000, loss: 0.0512, lr: 0.000024, batch_cost: 1.2164, reader_cost: 0.00022, ips: 1.6443 samples/sec | ETA 21:41:30 2021-08-22 22:37:30 [INFO] [TRAIN] epoch: 258, iter: 95810/160000, loss: 0.0573, lr: 0.000024, batch_cost: 1.2210, reader_cost: 0.00023, ips: 1.6380 samples/sec | ETA 21:46:15 2021-08-22 22:37:42 [INFO] [TRAIN] epoch: 258, iter: 95820/160000, loss: 0.0638, lr: 0.000024, batch_cost: 1.2165, reader_cost: 0.00021, ips: 1.6440 samples/sec | ETA 21:41:15 2021-08-22 22:37:54 [INFO] [TRAIN] epoch: 258, iter: 95830/160000, loss: 0.0500, lr: 0.000024, batch_cost: 1.2165, reader_cost: 0.00020, ips: 1.6440 samples/sec | ETA 21:41:04 2021-08-22 22:38:07 [INFO] [TRAIN] epoch: 258, iter: 95840/160000, loss: 0.0554, lr: 0.000024, batch_cost: 1.2130, reader_cost: 0.00021, ips: 1.6488 samples/sec | ETA 21:37:07 2021-08-22 22:38:19 [INFO] [TRAIN] epoch: 258, iter: 95850/160000, loss: 0.0535, lr: 0.000024, batch_cost: 1.2225, reader_cost: 0.00021, ips: 1.6360 samples/sec | ETA 21:47:03 2021-08-22 22:38:31 [INFO] [TRAIN] epoch: 258, iter: 95860/160000, loss: 0.0662, lr: 0.000024, batch_cost: 1.2344, reader_cost: 0.00022, ips: 1.6203 samples/sec | ETA 21:59:31 2021-08-22 22:38:43 [INFO] [TRAIN] epoch: 258, iter: 95870/160000, loss: 0.0774, lr: 0.000024, batch_cost: 1.2253, reader_cost: 0.00022, ips: 1.6323 samples/sec | ETA 21:49:37 2021-08-22 22:38:56 [INFO] [TRAIN] epoch: 258, iter: 95880/160000, loss: 0.0494, lr: 0.000024, batch_cost: 1.2251, reader_cost: 0.00023, ips: 1.6325 samples/sec | ETA 21:49:12 2021-08-22 22:39:08 [INFO] [TRAIN] epoch: 258, iter: 95890/160000, loss: 0.0551, lr: 0.000024, batch_cost: 1.2324, reader_cost: 0.00022, ips: 1.6228 samples/sec | ETA 21:56:50 2021-08-22 22:39:20 [INFO] [TRAIN] epoch: 258, iter: 95900/160000, loss: 0.0646, lr: 0.000024, batch_cost: 1.2133, reader_cost: 0.00021, ips: 1.6484 samples/sec | ETA 21:36:13 2021-08-22 22:39:32 [INFO] [TRAIN] epoch: 258, iter: 95910/160000, loss: 0.0641, lr: 0.000024, batch_cost: 1.2107, reader_cost: 0.00022, ips: 1.6519 samples/sec | ETA 21:33:14 2021-08-22 22:39:45 [INFO] [TRAIN] epoch: 258, iter: 95920/160000, loss: 0.0614, lr: 0.000024, batch_cost: 1.2416, reader_cost: 0.00022, ips: 1.6108 samples/sec | ETA 22:06:03 2021-08-22 22:39:57 [INFO] [TRAIN] epoch: 258, iter: 95930/160000, loss: 0.0670, lr: 0.000024, batch_cost: 1.2242, reader_cost: 0.00023, ips: 1.6337 samples/sec | ETA 21:47:15 2021-08-22 22:40:09 [INFO] [TRAIN] epoch: 258, iter: 95940/160000, loss: 0.0490, lr: 0.000024, batch_cost: 1.2106, reader_cost: 0.00022, ips: 1.6520 samples/sec | ETA 21:32:33 2021-08-22 22:40:21 [INFO] [TRAIN] epoch: 258, iter: 95950/160000, loss: 0.0660, lr: 0.000024, batch_cost: 1.2188, reader_cost: 0.00021, ips: 1.6410 samples/sec | ETA 21:41:04 2021-08-22 22:40:33 [INFO] [TRAIN] epoch: 258, iter: 95960/160000, loss: 0.0567, lr: 0.000024, batch_cost: 1.2205, reader_cost: 0.00022, ips: 1.6386 samples/sec | ETA 21:42:42 2021-08-22 22:40:45 [INFO] [TRAIN] epoch: 258, iter: 95970/160000, loss: 0.0488, lr: 0.000024, batch_cost: 1.1969, reader_cost: 0.00019, ips: 1.6710 samples/sec | ETA 21:17:14 2021-08-22 22:41:00 [INFO] [TRAIN] epoch: 259, iter: 95980/160000, loss: 0.0544, lr: 0.000024, batch_cost: 1.5087, reader_cost: 0.18958, ips: 1.3256 samples/sec | ETA 26:49:49 2021-08-22 22:41:13 [INFO] [TRAIN] epoch: 259, iter: 95990/160000, loss: 0.0588, lr: 0.000024, batch_cost: 1.2374, reader_cost: 0.00082, ips: 1.6163 samples/sec | ETA 22:00:06 2021-08-22 22:41:25 [INFO] [TRAIN] epoch: 259, iter: 96000/160000, loss: 0.0481, lr: 0.000024, batch_cost: 1.2374, reader_cost: 0.00024, ips: 1.6163 samples/sec | ETA 21:59:54 2021-08-22 22:41:25 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:26 - batch_cost: 3.5991 - reader cost: 0.3888 2/125 [..............................] - ETA: 5:49 - batch_cost: 2.8428 - reader cost: 0.1945 3/125 [..............................] - ETA: 5:14 - batch_cost: 2.5762 - reader cost: 0.1297 4/125 [..............................] - ETA: 4:54 - batch_cost: 2.4335 - reader cost: 0.0974 5/125 [>.............................] - ETA: 4:43 - batch_cost: 2.3593 - reader cost: 0.0779 6/125 [>.............................] - ETA: 4:35 - batch_cost: 2.3174 - reader cost: 0.0650 7/125 [>.............................] - ETA: 4:28 - batch_cost: 2.2786 - reader cost: 0.0557 8/125 [>.............................] - ETA: 4:23 - batch_cost: 2.2511 - reader cost: 0.0488 9/125 [=>............................] - ETA: 4:18 - batch_cost: 2.2310 - reader cost: 0.0434 10/125 [=>............................] - ETA: 4:14 - batch_cost: 2.2138 - reader cost: 0.0391 11/125 [=>............................] - ETA: 4:11 - batch_cost: 2.2036 - reader cost: 0.0355 12/125 [=>............................] - ETA: 4:07 - batch_cost: 2.1918 - reader cost: 0.0326 13/125 [==>...........................] - ETA: 4:04 - batch_cost: 2.1798 - reader cost: 0.0301 14/125 [==>...........................] - ETA: 4:01 - batch_cost: 2.1726 - reader cost: 0.0280 15/125 [==>...........................] - ETA: 3:58 - batch_cost: 2.1652 - reader cost: 0.0261 16/125 [==>...........................] - ETA: 3:55 - batch_cost: 2.1598 - reader cost: 0.0245 17/125 [===>..........................] - ETA: 3:52 - batch_cost: 2.1556 - reader cost: 0.0231 18/125 [===>..........................] - ETA: 3:50 - batch_cost: 2.1511 - reader cost: 0.0218 19/125 [===>..........................] - ETA: 3:47 - batch_cost: 2.1481 - reader cost: 0.0207 20/125 [===>..........................] - ETA: 3:45 - batch_cost: 2.1454 - reader cost: 0.0196 21/125 [====>.........................] - ETA: 3:42 - batch_cost: 2.1425 - reader cost: 0.0187 22/125 [====>.........................] - ETA: 3:40 - batch_cost: 2.1403 - reader cost: 0.0179 23/125 [====>.........................] - ETA: 3:38 - batch_cost: 2.1386 - reader cost: 0.0171 24/125 [====>.........................] - ETA: 3:35 - batch_cost: 2.1341 - reader cost: 0.0164 25/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1299 - reader cost: 0.0157 26/125 [=====>........................] - ETA: 3:30 - batch_cost: 2.1280 - reader cost: 0.0151 27/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1263 - reader cost: 0.0146 28/125 [=====>........................] - ETA: 3:26 - batch_cost: 2.1237 - reader cost: 0.0141 29/125 [=====>........................] - ETA: 3:23 - batch_cost: 2.1197 - reader cost: 0.0136 30/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1189 - reader cost: 0.0132 31/125 [======>.......................] - ETA: 3:19 - batch_cost: 2.1175 - reader cost: 0.0127 32/125 [======>.......................] - ETA: 3:17 - 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[=========>....................] - ETA: 2:53 - batch_cost: 2.1123 - reader cost: 0.0092 44/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1125 - reader cost: 0.0090 45/125 [=========>....................] - ETA: 2:48 - batch_cost: 2.1113 - reader cost: 0.0088 46/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1102 - reader cost: 0.0087 47/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1097 - reader cost: 0.0085 48/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1097 - reader cost: 0.0083 49/125 [==========>...................] - ETA: 2:40 - batch_cost: 2.1073 - reader cost: 0.0081 50/125 [===========>..................] - ETA: 2:38 - batch_cost: 2.1077 - reader cost: 0.0080 51/125 [===========>..................] - ETA: 2:35 - batch_cost: 2.1073 - reader cost: 0.0078 52/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.1085 - reader cost: 0.0077 53/125 [===========>..................] - ETA: 2:31 - 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[==============>...............] - ETA: 2:08 - batch_cost: 2.1019 - reader cost: 0.0063 65/125 [==============>...............] - ETA: 2:06 - batch_cost: 2.1027 - reader cost: 0.0062 66/125 [==============>...............] - ETA: 2:04 - batch_cost: 2.1021 - reader cost: 0.0061 67/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1018 - reader cost: 0.0060 68/125 [===============>..............] - ETA: 1:59 - batch_cost: 2.1009 - reader cost: 0.0059 69/125 [===============>..............] - ETA: 1:57 - batch_cost: 2.1016 - reader cost: 0.0058 70/125 [===============>..............] - ETA: 1:55 - batch_cost: 2.1010 - reader cost: 0.0058 71/125 [================>.............] - ETA: 1:53 - batch_cost: 2.1009 - reader cost: 0.0057 72/125 [================>.............] - ETA: 1:51 - batch_cost: 2.1009 - reader cost: 0.0056 73/125 [================>.............] - ETA: 1:49 - batch_cost: 2.1014 - reader cost: 0.0055 74/125 [================>.............] - ETA: 1:47 - 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[===================>..........] - ETA: 1:23 - batch_cost: 2.0967 - reader cost: 0.0048 86/125 [===================>..........] - ETA: 1:21 - batch_cost: 2.0970 - reader cost: 0.0047 87/125 [===================>..........] - ETA: 1:19 - batch_cost: 2.0966 - reader cost: 0.0047 88/125 [====================>.........] - ETA: 1:17 - batch_cost: 2.0969 - reader cost: 0.0046 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.0966 - reader cost: 0.0046 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.0955 - reader cost: 0.0045 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.0961 - reader cost: 0.0045 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.0962 - reader cost: 0.0044 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.0960 - reader cost: 0.0044 94/125 [=====================>........] - ETA: 1:04 - batch_cost: 2.0965 - reader cost: 0.0043 95/125 [=====================>........] - ETA: 1:02 - batch_cost: 2.0960 - reader cost: 0.0043 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.0960 - reader cost: 0.0043 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.0968 - reader cost: 0.0042  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.0970 - reader cost: 0.0042 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.0972 - reader cost: 0.0041 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.0975 - reader cost: 0.0041 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.0978 - reader cost: 0.0041 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.0976 - reader cost: 0.0040 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.0969 - reader cost: 0.0040 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.0966 - reader cost: 0.0039 105/125 [========================>.....] - ETA: 41s - batch_cost: 2.0966 - reader cost: 0.0039 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.0965 - reader cost: 0.0039 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.0962 - reader cost: 0.0038 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.0959 - reader cost: 0.0038 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.0957 - reader cost: 0.0038 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.0952 - reader cost: 0.0037 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.0950 - reader cost: 0.0037 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.0949 - reader cost: 0.0037 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.0953 - reader cost: 0.0036 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.0952 - reader cost: 0.0036 115/125 [==========================>...] - ETA: 20s - batch_cost: 2.0945 - reader cost: 0.0036 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.0944 - reader cost: 0.0036 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.0948 - reader cost: 0.0035 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.0951 - reader cost: 0.0035 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0949 - reader cost: 0.0035 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0948 - reader cost: 0.0034 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0944 - reader cost: 0.0034  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0940 - reader cost: 0.0034 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0936 - reader cost: 0.0034 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0930 - reader cost: 0.0033 125/125 [==============================] - 262s 2s/step - batch_cost: 2.0926 - reader cost: 0.0033 2021-08-22 22:45:47 [INFO] [EVAL] #Images: 500 mIoU: 0.8198 Acc: 0.9663 Kappa: 0.9563 2021-08-22 22:45:47 [INFO] [EVAL] Class IoU: [0.9829 0.8639 0.9372 0.6761 0.6569 0.695 0.7515 0.8226 0.931 0.6464 0.9561 0.8475 0.6769 0.9591 0.8795 0.9098 0.8683 0.7181 0.7975] 2021-08-22 22:45:47 [INFO] [EVAL] Class Acc: [0.9932 0.9148 0.9661 0.8656 0.8612 0.8433 0.8712 0.9031 0.9576 0.8476 0.9707 0.9103 0.8107 0.9778 0.9476 0.9483 0.9665 0.8479 0.8726] 2021-08-22 22:45:51 [INFO] [EVAL] The model with the best validation mIoU (0.8198) was saved at iter 96000. 2021-08-22 22:46:03 [INFO] [TRAIN] epoch: 259, iter: 96010/160000, loss: 0.0577, lr: 0.000024, batch_cost: 1.2169, reader_cost: 0.00182, ips: 1.6435 samples/sec | ETA 21:37:52 2021-08-22 22:46:15 [INFO] [TRAIN] epoch: 259, iter: 96020/160000, loss: 0.0551, lr: 0.000024, batch_cost: 1.2362, reader_cost: 0.00022, ips: 1.6178 samples/sec | ETA 21:58:13 2021-08-22 22:46:27 [INFO] [TRAIN] epoch: 259, iter: 96030/160000, loss: 0.0552, lr: 0.000024, batch_cost: 1.2287, reader_cost: 0.00020, ips: 1.6277 samples/sec | ETA 21:50:01 2021-08-22 22:46:40 [INFO] [TRAIN] epoch: 259, iter: 96040/160000, loss: 0.0640, lr: 0.000024, batch_cost: 1.2306, reader_cost: 0.00021, ips: 1.6252 samples/sec | ETA 21:51:50 2021-08-22 22:46:52 [INFO] [TRAIN] epoch: 259, iter: 96050/160000, loss: 0.0535, lr: 0.000024, batch_cost: 1.2251, reader_cost: 0.00020, ips: 1.6325 samples/sec | ETA 21:45:44 2021-08-22 22:47:05 [INFO] [TRAIN] epoch: 259, iter: 96060/160000, loss: 0.0504, lr: 0.000024, batch_cost: 1.2717, reader_cost: 0.00022, ips: 1.5727 samples/sec | ETA 22:35:11 2021-08-22 22:47:17 [INFO] [TRAIN] epoch: 259, iter: 96070/160000, loss: 0.0632, lr: 0.000024, batch_cost: 1.2303, reader_cost: 0.00020, ips: 1.6256 samples/sec | ETA 21:50:53 2021-08-22 22:47:29 [INFO] [TRAIN] epoch: 259, iter: 96080/160000, loss: 0.0653, lr: 0.000024, batch_cost: 1.2099, reader_cost: 0.00021, ips: 1.6530 samples/sec | ETA 21:28:57 2021-08-22 22:47:41 [INFO] [TRAIN] epoch: 259, iter: 96090/160000, loss: 0.0552, lr: 0.000024, batch_cost: 1.2318, reader_cost: 0.00023, ips: 1.6236 samples/sec | ETA 21:52:04 2021-08-22 22:47:54 [INFO] [TRAIN] epoch: 259, iter: 96100/160000, loss: 0.0588, lr: 0.000024, batch_cost: 1.2297, reader_cost: 0.00021, ips: 1.6264 samples/sec | ETA 21:49:36 2021-08-22 22:48:06 [INFO] [TRAIN] epoch: 259, iter: 96110/160000, loss: 0.0625, lr: 0.000024, batch_cost: 1.2329, reader_cost: 0.00022, ips: 1.6221 samples/sec | ETA 21:52:52 2021-08-22 22:48:18 [INFO] [TRAIN] epoch: 259, iter: 96120/160000, loss: 0.0567, lr: 0.000024, batch_cost: 1.2347, reader_cost: 0.00024, ips: 1.6199 samples/sec | ETA 21:54:31 2021-08-22 22:48:31 [INFO] [TRAIN] epoch: 259, iter: 96130/160000, loss: 0.0603, lr: 0.000024, batch_cost: 1.2293, reader_cost: 0.00020, ips: 1.6270 samples/sec | ETA 21:48:34 2021-08-22 22:48:43 [INFO] [TRAIN] epoch: 259, iter: 96140/160000, loss: 0.0527, lr: 0.000024, batch_cost: 1.2155, reader_cost: 0.00023, ips: 1.6454 samples/sec | ETA 21:33:44 2021-08-22 22:48:55 [INFO] [TRAIN] epoch: 259, iter: 96150/160000, loss: 0.0499, lr: 0.000024, batch_cost: 1.2240, reader_cost: 0.00021, ips: 1.6339 samples/sec | ETA 21:42:35 2021-08-22 22:49:07 [INFO] [TRAIN] epoch: 259, iter: 96160/160000, loss: 0.0556, lr: 0.000024, batch_cost: 1.2290, reader_cost: 0.00021, ips: 1.6274 samples/sec | ETA 21:47:36 2021-08-22 22:49:20 [INFO] [TRAIN] epoch: 259, iter: 96170/160000, loss: 0.0530, lr: 0.000024, batch_cost: 1.2152, reader_cost: 0.00022, ips: 1.6458 samples/sec | ETA 21:32:47 2021-08-22 22:49:32 [INFO] [TRAIN] epoch: 259, iter: 96180/160000, loss: 0.0535, lr: 0.000024, batch_cost: 1.2198, reader_cost: 0.00021, ips: 1.6396 samples/sec | ETA 21:37:28 2021-08-22 22:49:44 [INFO] [TRAIN] epoch: 259, iter: 96190/160000, loss: 0.0581, lr: 0.000024, batch_cost: 1.2460, reader_cost: 0.00022, ips: 1.6052 samples/sec | ETA 22:05:04 2021-08-22 22:49:56 [INFO] [TRAIN] epoch: 259, iter: 96200/160000, loss: 0.0540, lr: 0.000024, batch_cost: 1.2248, reader_cost: 0.00021, ips: 1.6329 samples/sec | ETA 21:42:22 2021-08-22 22:50:09 [INFO] [TRAIN] epoch: 259, iter: 96210/160000, loss: 0.0550, lr: 0.000024, batch_cost: 1.2454, reader_cost: 0.00022, ips: 1.6059 samples/sec | ETA 22:04:06 2021-08-22 22:50:21 [INFO] [TRAIN] epoch: 259, iter: 96220/160000, loss: 0.0503, lr: 0.000024, batch_cost: 1.2327, reader_cost: 0.00024, ips: 1.6225 samples/sec | ETA 21:50:21 2021-08-22 22:50:33 [INFO] [TRAIN] epoch: 259, iter: 96230/160000, loss: 0.0550, lr: 0.000024, batch_cost: 1.2265, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 21:43:34 2021-08-22 22:50:46 [INFO] [TRAIN] epoch: 259, iter: 96240/160000, loss: 0.0567, lr: 0.000024, batch_cost: 1.2283, reader_cost: 0.00024, ips: 1.6283 samples/sec | ETA 21:45:13 2021-08-22 22:50:58 [INFO] [TRAIN] epoch: 259, iter: 96250/160000, loss: 0.0588, lr: 0.000024, batch_cost: 1.2467, reader_cost: 0.00027, ips: 1.6043 samples/sec | ETA 22:04:35 2021-08-22 22:51:11 [INFO] [TRAIN] epoch: 259, iter: 96260/160000, loss: 0.0425, lr: 0.000024, batch_cost: 1.2420, reader_cost: 0.00025, ips: 1.6103 samples/sec | ETA 21:59:24 2021-08-22 22:51:23 [INFO] [TRAIN] epoch: 259, iter: 96270/160000, loss: 0.0604, lr: 0.000024, batch_cost: 1.2333, reader_cost: 0.00022, ips: 1.6217 samples/sec | ETA 21:49:55 2021-08-22 22:51:35 [INFO] [TRAIN] epoch: 259, iter: 96280/160000, loss: 0.0649, lr: 0.000024, batch_cost: 1.2213, reader_cost: 0.00022, ips: 1.6377 samples/sec | ETA 21:36:58 2021-08-22 22:51:47 [INFO] [TRAIN] epoch: 259, iter: 96290/160000, loss: 0.0447, lr: 0.000024, batch_cost: 1.2243, reader_cost: 0.00022, ips: 1.6336 samples/sec | ETA 21:39:59 2021-08-22 22:52:00 [INFO] [TRAIN] epoch: 259, iter: 96300/160000, loss: 0.0610, lr: 0.000024, batch_cost: 1.2298, reader_cost: 0.00022, ips: 1.6263 samples/sec | ETA 21:45:39 2021-08-22 22:52:12 [INFO] [TRAIN] epoch: 259, iter: 96310/160000, loss: 0.0606, lr: 0.000024, batch_cost: 1.2291, reader_cost: 0.00021, ips: 1.6272 samples/sec | ETA 21:44:39 2021-08-22 22:52:24 [INFO] [TRAIN] epoch: 259, iter: 96320/160000, loss: 0.0645, lr: 0.000024, batch_cost: 1.2262, reader_cost: 0.00023, ips: 1.6310 samples/sec | ETA 21:41:24 2021-08-22 22:52:36 [INFO] [TRAIN] epoch: 259, iter: 96330/160000, loss: 0.0535, lr: 0.000024, batch_cost: 1.2161, reader_cost: 0.00021, ips: 1.6446 samples/sec | ETA 21:30:28 2021-08-22 22:52:49 [INFO] [TRAIN] epoch: 259, iter: 96340/160000, loss: 0.0546, lr: 0.000024, batch_cost: 1.2071, reader_cost: 0.00020, ips: 1.6569 samples/sec | ETA 21:20:43 2021-08-22 22:53:03 [INFO] [TRAIN] epoch: 260, iter: 96350/160000, loss: 0.0533, lr: 0.000024, batch_cost: 1.4870, reader_cost: 0.23687, ips: 1.3450 samples/sec | ETA 26:17:26 2021-08-22 22:53:16 [INFO] [TRAIN] epoch: 260, iter: 96360/160000, loss: 0.0587, lr: 0.000024, batch_cost: 1.2303, reader_cost: 0.00082, ips: 1.6256 samples/sec | ETA 21:44:57 2021-08-22 22:53:28 [INFO] [TRAIN] epoch: 260, iter: 96370/160000, loss: 0.0529, lr: 0.000024, batch_cost: 1.2298, reader_cost: 0.00026, ips: 1.6262 samples/sec | ETA 21:44:14 2021-08-22 22:53:40 [INFO] [TRAIN] epoch: 260, iter: 96380/160000, loss: 0.0435, lr: 0.000024, batch_cost: 1.2143, reader_cost: 0.00024, ips: 1.6470 samples/sec | ETA 21:27:35 2021-08-22 22:53:53 [INFO] [TRAIN] epoch: 260, iter: 96390/160000, loss: 0.0517, lr: 0.000024, batch_cost: 1.2430, reader_cost: 0.00022, ips: 1.6091 samples/sec | ETA 21:57:44 2021-08-22 22:54:05 [INFO] [TRAIN] epoch: 260, iter: 96400/160000, loss: 0.0481, lr: 0.000024, batch_cost: 1.2350, reader_cost: 0.00022, ips: 1.6194 samples/sec | ETA 21:49:07 2021-08-22 22:54:17 [INFO] [TRAIN] epoch: 260, iter: 96410/160000, loss: 0.0524, lr: 0.000024, batch_cost: 1.2234, reader_cost: 0.00024, ips: 1.6347 samples/sec | ETA 21:36:38 2021-08-22 22:54:29 [INFO] [TRAIN] epoch: 260, iter: 96420/160000, loss: 0.0617, lr: 0.000024, batch_cost: 1.2238, reader_cost: 0.00022, ips: 1.6342 samples/sec | ETA 21:36:51 2021-08-22 22:54:42 [INFO] [TRAIN] epoch: 260, iter: 96430/160000, loss: 0.0701, lr: 0.000024, batch_cost: 1.2181, reader_cost: 0.00021, ips: 1.6419 samples/sec | ETA 21:30:34 2021-08-22 22:54:54 [INFO] [TRAIN] epoch: 260, iter: 96440/160000, loss: 0.0624, lr: 0.000024, batch_cost: 1.2188, reader_cost: 0.00022, ips: 1.6409 samples/sec | ETA 21:31:08 2021-08-22 22:55:06 [INFO] [TRAIN] epoch: 260, iter: 96450/160000, loss: 0.0524, lr: 0.000024, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6283 samples/sec | ETA 21:40:56 2021-08-22 22:55:18 [INFO] [TRAIN] epoch: 260, iter: 96460/160000, loss: 0.0663, lr: 0.000024, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6223 samples/sec | ETA 21:45:32 2021-08-22 22:55:31 [INFO] [TRAIN] epoch: 260, iter: 96470/160000, loss: 0.0454, lr: 0.000024, batch_cost: 1.2240, reader_cost: 0.00020, ips: 1.6340 samples/sec | ETA 21:35:59 2021-08-22 22:55:43 [INFO] [TRAIN] epoch: 260, iter: 96480/160000, loss: 0.0445, lr: 0.000024, batch_cost: 1.2387, reader_cost: 0.00022, ips: 1.6146 samples/sec | ETA 21:51:22 2021-08-22 22:55:55 [INFO] [TRAIN] epoch: 260, iter: 96490/160000, loss: 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23:39:05 [INFO] [TRAIN] epoch: 266, iter: 98590/160000, loss: 0.0541, lr: 0.000023, batch_cost: 1.5318, reader_cost: 0.25497, ips: 1.3056 samples/sec | ETA 26:07:48 2021-08-22 23:39:17 [INFO] [TRAIN] epoch: 266, iter: 98600/160000, loss: 0.0547, lr: 0.000023, batch_cost: 1.2279, reader_cost: 0.00097, ips: 1.6288 samples/sec | ETA 20:56:32 2021-08-22 23:39:29 [INFO] [TRAIN] epoch: 266, iter: 98610/160000, loss: 0.0496, lr: 0.000023, batch_cost: 1.2372, reader_cost: 0.00022, ips: 1.6165 samples/sec | ETA 21:05:53 2021-08-22 23:39:42 [INFO] [TRAIN] epoch: 266, iter: 98620/160000, loss: 0.0619, lr: 0.000023, batch_cost: 1.2379, reader_cost: 0.00021, ips: 1.6157 samples/sec | ETA 21:06:20 2021-08-22 23:39:54 [INFO] [TRAIN] epoch: 266, iter: 98630/160000, loss: 0.0633, lr: 0.000023, batch_cost: 1.2213, reader_cost: 0.00020, ips: 1.6377 samples/sec | ETA 20:49:08 2021-08-22 23:40:06 [INFO] [TRAIN] epoch: 266, iter: 98640/160000, loss: 0.0490, lr: 0.000023, batch_cost: 1.2225, reader_cost: 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23:49:34 [INFO] [TRAIN] epoch: 267, iter: 99100/160000, loss: 0.0509, lr: 0.000023, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6359 samples/sec | ETA 20:40:52 2021-08-22 23:49:46 [INFO] [TRAIN] epoch: 267, iter: 99110/160000, loss: 0.0553, lr: 0.000023, batch_cost: 1.2207, reader_cost: 0.00021, ips: 1.6383 samples/sec | ETA 20:38:51 2021-08-22 23:49:58 [INFO] [TRAIN] epoch: 267, iter: 99120/160000, loss: 0.0555, lr: 0.000023, batch_cost: 1.2209, reader_cost: 0.00020, ips: 1.6381 samples/sec | ETA 20:38:47 2021-08-22 23:50:10 [INFO] [TRAIN] epoch: 267, iter: 99130/160000, loss: 0.0520, lr: 0.000023, batch_cost: 1.2206, reader_cost: 0.00020, ips: 1.6385 samples/sec | ETA 20:38:18 2021-08-22 23:50:23 [INFO] [TRAIN] epoch: 267, iter: 99140/160000, loss: 0.0491, lr: 0.000023, batch_cost: 1.2219, reader_cost: 0.00021, ips: 1.6367 samples/sec | ETA 20:39:27 2021-08-22 23:50:35 [INFO] [TRAIN] epoch: 267, iter: 99150/160000, loss: 0.0645, lr: 0.000023, batch_cost: 1.2275, reader_cost: 0.00022, ips: 1.6293 samples/sec | ETA 20:44:55 2021-08-22 23:50:47 [INFO] [TRAIN] epoch: 267, iter: 99160/160000, loss: 0.0546, lr: 0.000023, batch_cost: 1.2191, reader_cost: 0.00022, ips: 1.6405 samples/sec | ETA 20:36:12 2021-08-22 23:50:59 [INFO] [TRAIN] epoch: 267, iter: 99170/160000, loss: 0.0510, lr: 0.000023, batch_cost: 1.2190, reader_cost: 0.00023, ips: 1.6406 samples/sec | ETA 20:35:54 2021-08-22 23:51:12 [INFO] [TRAIN] epoch: 267, iter: 99180/160000, loss: 0.0578, lr: 0.000023, batch_cost: 1.2261, reader_cost: 0.00025, ips: 1.6311 samples/sec | ETA 20:42:53 2021-08-22 23:51:24 [INFO] [TRAIN] epoch: 267, iter: 99190/160000, loss: 0.0445, lr: 0.000023, batch_cost: 1.2193, reader_cost: 0.00025, ips: 1.6403 samples/sec | ETA 20:35:45 2021-08-22 23:51:36 [INFO] [TRAIN] epoch: 267, iter: 99200/160000, loss: 0.0511, lr: 0.000023, batch_cost: 1.2196, reader_cost: 0.00021, ips: 1.6399 samples/sec | ETA 20:35:50 2021-08-22 23:51:48 [INFO] [TRAIN] epoch: 267, iter: 99210/160000, loss: 0.0521, lr: 0.000023, batch_cost: 1.2182, reader_cost: 0.00021, ips: 1.6418 samples/sec | ETA 20:34:14 2021-08-22 23:52:00 [INFO] [TRAIN] epoch: 267, iter: 99220/160000, loss: 0.0552, lr: 0.000023, batch_cost: 1.2345, reader_cost: 0.00023, ips: 1.6201 samples/sec | ETA 20:50:30 2021-08-22 23:52:13 [INFO] [TRAIN] epoch: 267, iter: 99230/160000, loss: 0.0448, lr: 0.000023, batch_cost: 1.2307, reader_cost: 0.00023, ips: 1.6251 samples/sec | ETA 20:46:31 2021-08-22 23:52:25 [INFO] [TRAIN] epoch: 267, iter: 99240/160000, loss: 0.0627, lr: 0.000023, batch_cost: 1.2411, reader_cost: 0.00024, ips: 1.6115 samples/sec | ETA 20:56:49 2021-08-22 23:52:38 [INFO] [TRAIN] epoch: 267, iter: 99250/160000, loss: 0.0453, lr: 0.000023, batch_cost: 1.2364, reader_cost: 0.00023, ips: 1.6176 samples/sec | ETA 20:51:51 2021-08-22 23:52:50 [INFO] [TRAIN] epoch: 267, iter: 99260/160000, loss: 0.0450, lr: 0.000023, batch_cost: 1.2266, reader_cost: 0.00021, ips: 1.6305 samples/sec | ETA 20:41:44 2021-08-22 23:53:02 [INFO] [TRAIN] epoch: 267, iter: 99270/160000, loss: 0.0580, lr: 0.000023, batch_cost: 1.2297, reader_cost: 0.00028, ips: 1.6264 samples/sec | ETA 20:44:39 2021-08-22 23:53:14 [INFO] [TRAIN] epoch: 267, iter: 99280/160000, loss: 0.0557, lr: 0.000023, batch_cost: 1.2268, reader_cost: 0.00023, ips: 1.6303 samples/sec | ETA 20:41:30 2021-08-22 23:53:27 [INFO] [TRAIN] epoch: 267, iter: 99290/160000, loss: 0.0606, lr: 0.000023, batch_cost: 1.2218, reader_cost: 0.00022, ips: 1.6369 samples/sec | ETA 20:36:18 2021-08-22 23:53:39 [INFO] [TRAIN] epoch: 267, iter: 99300/160000, loss: 0.0659, lr: 0.000023, batch_cost: 1.2312, reader_cost: 0.00022, ips: 1.6244 samples/sec | ETA 20:45:34 2021-08-22 23:53:51 [INFO] [TRAIN] epoch: 267, iter: 99310/160000, loss: 0.0495, lr: 0.000023, batch_cost: 1.2264, reader_cost: 0.00019, ips: 1.6308 samples/sec | ETA 20:40:27 2021-08-22 23:54:03 [INFO] [TRAIN] epoch: 267, iter: 99320/160000, loss: 0.0598, lr: 0.000023, batch_cost: 1.1854, reader_cost: 0.00015, ips: 1.6871 samples/sec | ETA 19:58:52 2021-08-22 23:54:18 [INFO] [TRAIN] epoch: 268, iter: 99330/160000, loss: 0.0584, lr: 0.000023, batch_cost: 1.4617, reader_cost: 0.19448, ips: 1.3682 samples/sec | ETA 24:38:03 2021-08-22 23:54:30 [INFO] [TRAIN] epoch: 268, iter: 99340/160000, loss: 0.0515, lr: 0.000023, batch_cost: 1.2161, reader_cost: 0.00068, ips: 1.6445 samples/sec | ETA 20:29:31 2021-08-22 23:54:42 [INFO] [TRAIN] epoch: 268, iter: 99350/160000, loss: 0.0577, lr: 0.000023, batch_cost: 1.2334, reader_cost: 0.00021, ips: 1.6215 samples/sec | ETA 20:46:47 2021-08-22 23:54:54 [INFO] [TRAIN] epoch: 268, iter: 99360/160000, loss: 0.0537, lr: 0.000023, batch_cost: 1.2121, reader_cost: 0.00022, ips: 1.6500 samples/sec | ETA 20:25:01 2021-08-22 23:55:06 [INFO] [TRAIN] epoch: 268, iter: 99370/160000, loss: 0.0561, lr: 0.000023, batch_cost: 1.2240, reader_cost: 0.00021, ips: 1.6340 samples/sec | ETA 20:36:48 2021-08-22 23:55:19 [INFO] [TRAIN] epoch: 268, iter: 99380/160000, loss: 0.0528, lr: 0.000023, batch_cost: 1.2339, reader_cost: 0.00021, ips: 1.6208 samples/sec | ETA 20:46:40 2021-08-22 23:55:31 [INFO] [TRAIN] epoch: 268, iter: 99390/160000, loss: 0.0522, lr: 0.000023, batch_cost: 1.2224, reader_cost: 0.00023, ips: 1.6361 samples/sec | ETA 20:34:51 2021-08-22 23:55:43 [INFO] [TRAIN] epoch: 268, iter: 99400/160000, loss: 0.0605, lr: 0.000023, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6282 samples/sec | ETA 20:40:37 2021-08-22 23:55:56 [INFO] [TRAIN] epoch: 268, iter: 99410/160000, loss: 0.0624, lr: 0.000023, batch_cost: 1.2270, reader_cost: 0.00022, ips: 1.6300 samples/sec | ETA 20:39:05 2021-08-22 23:56:08 [INFO] [TRAIN] epoch: 268, iter: 99420/160000, loss: 0.0524, lr: 0.000023, batch_cost: 1.2320, reader_cost: 0.00022, ips: 1.6233 samples/sec | ETA 20:43:55 2021-08-22 23:56:20 [INFO] [TRAIN] epoch: 268, iter: 99430/160000, loss: 0.0551, lr: 0.000023, batch_cost: 1.2211, reader_cost: 0.00019, ips: 1.6378 samples/sec | ETA 20:32:44 2021-08-22 23:56:32 [INFO] [TRAIN] epoch: 268, iter: 99440/160000, loss: 0.0575, lr: 0.000023, batch_cost: 1.2280, reader_cost: 0.00022, ips: 1.6286 samples/sec | ETA 20:39:28 2021-08-22 23:56:45 [INFO] [TRAIN] epoch: 268, iter: 99450/160000, loss: 0.0766, lr: 0.000023, batch_cost: 1.2509, reader_cost: 0.00020, ips: 1.5989 samples/sec | ETA 21:02:19 2021-08-22 23:56:57 [INFO] [TRAIN] epoch: 268, iter: 99460/160000, loss: 0.0489, lr: 0.000023, batch_cost: 1.2189, reader_cost: 0.00019, ips: 1.6408 samples/sec | ETA 20:29:53 2021-08-22 23:57:10 [INFO] [TRAIN] epoch: 268, iter: 99470/160000, loss: 0.0586, lr: 0.000023, batch_cost: 1.2396, reader_cost: 0.00022, ips: 1.6135 samples/sec | ETA 20:50:31 2021-08-22 23:57:22 [INFO] [TRAIN] epoch: 268, iter: 99480/160000, loss: 0.0556, lr: 0.000023, batch_cost: 1.2331, reader_cost: 0.00020, ips: 1.6219 samples/sec | ETA 20:43:46 2021-08-22 23:57:34 [INFO] [TRAIN] epoch: 268, iter: 99490/160000, loss: 0.0516, lr: 0.000023, batch_cost: 1.2114, reader_cost: 0.00020, ips: 1.6510 samples/sec | ETA 20:21:43 2021-08-22 23:57:46 [INFO] [TRAIN] epoch: 268, iter: 99500/160000, loss: 0.0477, lr: 0.000023, batch_cost: 1.2207, reader_cost: 0.00021, ips: 1.6384 samples/sec | ETA 20:30:54 2021-08-22 23:57:58 [INFO] [TRAIN] epoch: 268, iter: 99510/160000, loss: 0.0546, lr: 0.000023, batch_cost: 1.2112, reader_cost: 0.00021, ips: 1.6513 samples/sec | ETA 20:21:04 2021-08-22 23:58:11 [INFO] [TRAIN] epoch: 268, iter: 99520/160000, loss: 0.0580, lr: 0.000023, batch_cost: 1.2336, reader_cost: 0.00022, ips: 1.6213 samples/sec | ETA 20:43:25 2021-08-22 23:58:23 [INFO] [TRAIN] epoch: 268, iter: 99530/160000, loss: 0.0588, lr: 0.000023, batch_cost: 1.2239, reader_cost: 0.00023, ips: 1.6341 samples/sec | ETA 20:33:28 2021-08-22 23:58:35 [INFO] [TRAIN] epoch: 268, iter: 99540/160000, loss: 0.0506, lr: 0.000023, batch_cost: 1.2258, reader_cost: 0.00022, ips: 1.6316 samples/sec | ETA 20:35:12 2021-08-22 23:58:47 [INFO] [TRAIN] epoch: 268, iter: 99550/160000, loss: 0.0647, lr: 0.000023, batch_cost: 1.2224, reader_cost: 0.00022, ips: 1.6361 samples/sec | ETA 20:31:35 2021-08-22 23:59:00 [INFO] [TRAIN] epoch: 268, iter: 99560/160000, loss: 0.0670, lr: 0.000023, batch_cost: 1.2287, reader_cost: 0.00022, ips: 1.6277 samples/sec | ETA 20:37:43 2021-08-22 23:59:12 [INFO] [TRAIN] epoch: 268, iter: 99570/160000, loss: 0.0583, lr: 0.000023, batch_cost: 1.2423, reader_cost: 0.00023, ips: 1.6099 samples/sec | ETA 20:51:11 2021-08-22 23:59:24 [INFO] [TRAIN] epoch: 268, iter: 99580/160000, loss: 0.0560, lr: 0.000023, batch_cost: 1.2178, reader_cost: 0.00021, ips: 1.6423 samples/sec | ETA 20:26:21 2021-08-22 23:59:37 [INFO] [TRAIN] epoch: 268, iter: 99590/160000, loss: 0.0605, lr: 0.000023, batch_cost: 1.2293, reader_cost: 0.00023, ips: 1.6270 samples/sec | ETA 20:37:40 2021-08-22 23:59:49 [INFO] [TRAIN] epoch: 268, iter: 99600/160000, loss: 0.0533, lr: 0.000023, batch_cost: 1.2201, reader_cost: 0.00025, ips: 1.6392 samples/sec | ETA 20:28:13 2021-08-23 00:00:01 [INFO] [TRAIN] epoch: 268, iter: 99610/160000, loss: 0.0535, lr: 0.000023, batch_cost: 1.2121, reader_cost: 0.00022, ips: 1.6500 samples/sec | ETA 20:20:01 2021-08-23 00:00:13 [INFO] [TRAIN] epoch: 268, iter: 99620/160000, loss: 0.0609, lr: 0.000023, batch_cost: 1.2191, reader_cost: 0.00022, ips: 1.6406 samples/sec | ETA 20:26:47 2021-08-23 00:00:25 [INFO] [TRAIN] epoch: 268, iter: 99630/160000, loss: 0.0479, lr: 0.000023, batch_cost: 1.2239, reader_cost: 0.00021, ips: 1.6341 samples/sec | ETA 20:31:27 2021-08-23 00:00:38 [INFO] [TRAIN] epoch: 268, iter: 99640/160000, loss: 0.0478, lr: 0.000023, batch_cost: 1.2373, reader_cost: 0.00024, ips: 1.6164 samples/sec | ETA 20:44:42 2021-08-23 00:00:50 [INFO] [TRAIN] epoch: 268, iter: 99650/160000, loss: 0.0560, lr: 0.000023, batch_cost: 1.2343, reader_cost: 0.00023, ips: 1.6203 samples/sec | ETA 20:41:31 2021-08-23 00:01:02 [INFO] [TRAIN] epoch: 268, iter: 99660/160000, loss: 0.0498, lr: 0.000023, batch_cost: 1.2217, reader_cost: 0.00021, ips: 1.6371 samples/sec | ETA 20:28:36 2021-08-23 00:01:14 [INFO] [TRAIN] epoch: 268, iter: 99670/160000, loss: 0.0529, lr: 0.000023, batch_cost: 1.2197, reader_cost: 0.00022, ips: 1.6398 samples/sec | ETA 20:26:22 2021-08-23 00:01:27 [INFO] [TRAIN] epoch: 268, iter: 99680/160000, loss: 0.0557, lr: 0.000023, batch_cost: 1.2215, reader_cost: 0.00021, ips: 1.6373 samples/sec | ETA 20:28:03 2021-08-23 00:01:39 [INFO] [TRAIN] epoch: 268, iter: 99690/160000, loss: 0.0613, lr: 0.000023, batch_cost: 1.1985, reader_cost: 0.00018, ips: 1.6687 samples/sec | ETA 20:04:43 2021-08-23 00:01:53 [INFO] [TRAIN] epoch: 269, iter: 99700/160000, loss: 0.0496, lr: 0.000023, batch_cost: 1.4824, reader_cost: 0.25892, ips: 1.3492 samples/sec | ETA 24:49:47 2021-08-23 00:02:06 [INFO] [TRAIN] epoch: 269, iter: 99710/160000, loss: 0.0544, lr: 0.000023, batch_cost: 1.2211, reader_cost: 0.00083, ips: 1.6379 samples/sec | ETA 20:26:57 2021-08-23 00:02:18 [INFO] [TRAIN] epoch: 269, iter: 99720/160000, loss: 0.0495, lr: 0.000023, batch_cost: 1.2197, reader_cost: 0.00020, ips: 1.6397 samples/sec | ETA 20:25:23 2021-08-23 00:02:30 [INFO] [TRAIN] epoch: 269, iter: 99730/160000, loss: 0.0576, lr: 0.000023, batch_cost: 1.2435, reader_cost: 0.00021, ips: 1.6084 samples/sec | ETA 20:49:06 2021-08-23 00:02:43 [INFO] [TRAIN] epoch: 269, iter: 99740/160000, loss: 0.0522, lr: 0.000023, batch_cost: 1.2372, reader_cost: 0.00020, ips: 1.6165 samples/sec | ETA 20:42:34 2021-08-23 00:02:55 [INFO] [TRAIN] epoch: 269, iter: 99750/160000, loss: 0.0486, lr: 0.000023, batch_cost: 1.2195, reader_cost: 0.00022, ips: 1.6401 samples/sec | ETA 20:24:32 2021-08-23 00:03:07 [INFO] [TRAIN] epoch: 269, iter: 99760/160000, loss: 0.0544, lr: 0.000023, batch_cost: 1.2138, reader_cost: 0.00022, ips: 1.6477 samples/sec | ETA 20:18:41 2021-08-23 00:03:19 [INFO] [TRAIN] epoch: 269, iter: 99770/160000, loss: 0.0605, lr: 0.000023, batch_cost: 1.2307, reader_cost: 0.00023, ips: 1.6250 samples/sec | ETA 20:35:27 2021-08-23 00:03:32 [INFO] [TRAIN] epoch: 269, iter: 99780/160000, loss: 0.0495, lr: 0.000023, batch_cost: 1.2352, reader_cost: 0.00022, ips: 1.6192 samples/sec | ETA 20:39:43 2021-08-23 00:03:44 [INFO] [TRAIN] epoch: 269, iter: 99790/160000, loss: 0.0611, lr: 0.000023, batch_cost: 1.2406, reader_cost: 0.00024, ips: 1.6121 samples/sec | ETA 20:44:59 2021-08-23 00:03:56 [INFO] [TRAIN] epoch: 269, iter: 99800/160000, loss: 0.0612, lr: 0.000023, batch_cost: 1.2329, reader_cost: 0.00021, ips: 1.6222 samples/sec | ETA 20:36:58 2021-08-23 00:04:09 [INFO] [TRAIN] epoch: 269, iter: 99810/160000, loss: 0.0535, lr: 0.000023, batch_cost: 1.2118, reader_cost: 0.00021, ips: 1.6504 samples/sec | ETA 20:15:38 2021-08-23 00:04:21 [INFO] [TRAIN] epoch: 269, iter: 99820/160000, loss: 0.0580, lr: 0.000023, batch_cost: 1.2166, reader_cost: 0.00021, ips: 1.6439 samples/sec | ETA 20:20:16 2021-08-23 00:04:33 [INFO] [TRAIN] epoch: 269, iter: 99830/160000, loss: 0.0503, lr: 0.000023, batch_cost: 1.2465, reader_cost: 0.00023, ips: 1.6045 samples/sec | ETA 20:50:00 2021-08-23 00:04:45 [INFO] [TRAIN] epoch: 269, iter: 99840/160000, loss: 0.0522, lr: 0.000023, batch_cost: 1.2293, reader_cost: 0.00022, ips: 1.6270 samples/sec | ETA 20:32:32 2021-08-23 00:04:58 [INFO] [TRAIN] epoch: 269, iter: 99850/160000, loss: 0.0530, lr: 0.000023, batch_cost: 1.2177, reader_cost: 0.00022, ips: 1.6424 samples/sec | ETA 20:20:44 2021-08-23 00:05:10 [INFO] [TRAIN] epoch: 269, iter: 99860/160000, loss: 0.0517, lr: 0.000023, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6340 samples/sec | ETA 20:26:49 2021-08-23 00:05:22 [INFO] [TRAIN] epoch: 269, iter: 99870/160000, loss: 0.0546, lr: 0.000023, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6288 samples/sec | ETA 20:30:34 2021-08-23 00:05:34 [INFO] [TRAIN] epoch: 269, iter: 99880/160000, loss: 0.0571, lr: 0.000023, batch_cost: 1.2372, reader_cost: 0.00022, ips: 1.6165 samples/sec | ETA 20:39:42 2021-08-23 00:05:47 [INFO] [TRAIN] epoch: 269, iter: 99890/160000, loss: 0.0462, lr: 0.000023, batch_cost: 1.2400, reader_cost: 0.00021, ips: 1.6129 samples/sec | ETA 20:42:16 2021-08-23 00:05:59 [INFO] [TRAIN] epoch: 269, iter: 99900/160000, loss: 0.0776, lr: 0.000023, batch_cost: 1.2259, reader_cost: 0.00022, ips: 1.6314 samples/sec | ETA 20:27:59 2021-08-23 00:06:11 [INFO] [TRAIN] epoch: 269, iter: 99910/160000, loss: 0.0578, lr: 0.000023, batch_cost: 1.2198, reader_cost: 0.00021, ips: 1.6397 samples/sec | ETA 20:21:35 2021-08-23 00:06:24 [INFO] [TRAIN] epoch: 269, iter: 99920/160000, loss: 0.0616, lr: 0.000023, batch_cost: 1.2396, reader_cost: 0.00023, ips: 1.6135 samples/sec | ETA 20:41:12 2021-08-23 00:06:36 [INFO] [TRAIN] epoch: 269, iter: 99930/160000, loss: 0.0657, lr: 0.000023, batch_cost: 1.2176, reader_cost: 0.00023, ips: 1.6425 samples/sec | ETA 20:19:03 2021-08-23 00:06:48 [INFO] [TRAIN] epoch: 269, iter: 99940/160000, loss: 0.0627, lr: 0.000023, batch_cost: 1.2228, reader_cost: 0.00023, ips: 1.6356 samples/sec | ETA 20:24:02 2021-08-23 00:07:00 [INFO] [TRAIN] epoch: 269, iter: 99950/160000, loss: 0.0452, lr: 0.000023, batch_cost: 1.2151, reader_cost: 0.00025, ips: 1.6459 samples/sec | ETA 20:16:09 2021-08-23 00:07:12 [INFO] [TRAIN] epoch: 269, iter: 99960/160000, loss: 0.0601, lr: 0.000023, batch_cost: 1.2099, reader_cost: 0.00026, ips: 1.6531 samples/sec | ETA 20:10:41 2021-08-23 00:07:25 [INFO] [TRAIN] epoch: 269, iter: 99970/160000, loss: 0.0577, lr: 0.000023, batch_cost: 1.2134, reader_cost: 0.00023, ips: 1.6483 samples/sec | ETA 20:13:58 2021-08-23 00:07:37 [INFO] [TRAIN] epoch: 269, iter: 99980/160000, loss: 0.0519, lr: 0.000023, batch_cost: 1.2252, reader_cost: 0.00021, ips: 1.6324 samples/sec | ETA 20:25:34 2021-08-23 00:07:49 [INFO] [TRAIN] epoch: 269, iter: 99990/160000, loss: 0.0546, lr: 0.000023, batch_cost: 1.2168, reader_cost: 0.00022, ips: 1.6437 samples/sec | ETA 20:16:59 2021-08-23 00:08:01 [INFO] [TRAIN] epoch: 269, iter: 100000/160000, loss: 0.0623, lr: 0.000023, batch_cost: 1.2262, reader_cost: 0.00020, ips: 1.6311 samples/sec | ETA 20:26:11 2021-08-23 00:08:01 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 8:56 - batch_cost: 4.3231 - reader cost: 0.3868 2/125 [..............................] - ETA: 7:05 - batch_cost: 3.4604 - reader cost: 0.1935 3/125 [..............................] - ETA: 6:16 - batch_cost: 3.0892 - reader cost: 0.1291 4/125 [..............................] - ETA: 5:41 - batch_cost: 2.8245 - reader cost: 0.0969 5/125 [>.............................] - ETA: 5:21 - batch_cost: 2.6793 - reader cost: 0.0775 6/125 [>.............................] - ETA: 5:06 - batch_cost: 2.5768 - reader cost: 0.0646 7/125 [>.............................] - ETA: 4:56 - batch_cost: 2.5085 - reader cost: 0.0554 8/125 [>.............................] - ETA: 4:47 - batch_cost: 2.4535 - reader cost: 0.0485 9/125 [=>............................] - ETA: 4:40 - batch_cost: 2.4141 - reader cost: 0.0432 10/125 [=>............................] - ETA: 4:33 - batch_cost: 2.3774 - reader cost: 0.0389 11/125 [=>............................] - ETA: 4:28 - batch_cost: 2.3544 - reader cost: 0.0353 12/125 [=>............................] - ETA: 4:22 - batch_cost: 2.3252 - reader cost: 0.0324 13/125 [==>...........................] - ETA: 4:19 - batch_cost: 2.3134 - reader cost: 0.0299 14/125 [==>...........................] - ETA: 4:14 - batch_cost: 2.2952 - reader cost: 0.0278 15/125 [==>...........................] - ETA: 4:11 - batch_cost: 2.2846 - reader cost: 0.0260 16/125 [==>...........................] - ETA: 4:07 - batch_cost: 2.2739 - reader cost: 0.0244 17/125 [===>..........................] - ETA: 4:04 - batch_cost: 2.2636 - reader cost: 0.0229 18/125 [===>..........................] - ETA: 4:01 - batch_cost: 2.2562 - reader cost: 0.0217 19/125 [===>..........................] - ETA: 3:58 - batch_cost: 2.2474 - reader cost: 0.0205 20/125 [===>..........................] - ETA: 3:55 - batch_cost: 2.2417 - reader cost: 0.0195 21/125 [====>.........................] - ETA: 3:52 - batch_cost: 2.2341 - reader cost: 0.0186 22/125 [====>.........................] - ETA: 3:49 - batch_cost: 2.2295 - reader cost: 0.0178 23/125 [====>.........................] - ETA: 3:46 - batch_cost: 2.2237 - reader cost: 0.0170 24/125 [====>.........................] - ETA: 3:44 - batch_cost: 2.2195 - reader cost: 0.0163 25/125 [=====>........................] - ETA: 3:41 - batch_cost: 2.2143 - reader cost: 0.0157 26/125 [=====>........................] - ETA: 3:38 - batch_cost: 2.2075 - reader cost: 0.0151 27/125 [=====>........................] - ETA: 3:36 - batch_cost: 2.2040 - reader cost: 0.0145 28/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.2008 - reader cost: 0.0140 29/125 [=====>........................] - ETA: 3:31 - batch_cost: 2.1980 - reader cost: 0.0135 30/125 [======>.......................] - ETA: 3:28 - batch_cost: 2.1948 - reader cost: 0.0131 31/125 [======>.......................] - ETA: 3:25 - batch_cost: 2.1893 - reader cost: 0.0127 32/125 [======>.......................] - ETA: 3:23 - batch_cost: 2.1881 - reader cost: 0.0123 33/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1856 - reader cost: 0.0119 34/125 [=======>......................] - ETA: 3:18 - batch_cost: 2.1835 - reader cost: 0.0116 35/125 [=======>......................] - ETA: 3:16 - batch_cost: 2.1815 - reader cost: 0.0112 36/125 [=======>......................] - ETA: 3:14 - batch_cost: 2.1803 - reader cost: 0.0109 37/125 [=======>......................] - ETA: 3:11 - batch_cost: 2.1775 - reader cost: 0.0106 38/125 [========>.....................] - ETA: 3:09 - batch_cost: 2.1757 - reader cost: 0.0104 39/125 [========>.....................] - ETA: 3:07 - batch_cost: 2.1752 - reader cost: 0.0101 40/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1726 - reader cost: 0.0099 41/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1707 - reader cost: 0.0096 42/125 [=========>....................] - ETA: 3:00 - batch_cost: 2.1690 - reader cost: 0.0094 43/125 [=========>....................] - ETA: 2:57 - batch_cost: 2.1665 - reader cost: 0.0092 44/125 [=========>....................] - ETA: 2:55 - batch_cost: 2.1648 - reader cost: 0.0090 45/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1634 - reader cost: 0.0088 46/125 [==========>...................] - ETA: 2:50 - batch_cost: 2.1623 - reader cost: 0.0086 47/125 [==========>...................] - ETA: 2:48 - batch_cost: 2.1608 - reader cost: 0.0084 48/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1593 - reader cost: 0.0082 49/125 [==========>...................] - ETA: 2:43 - batch_cost: 2.1571 - reader cost: 0.0081 50/125 [===========>..................] - ETA: 2:41 - batch_cost: 2.1554 - reader cost: 0.0079 51/125 [===========>..................] - ETA: 2:39 - batch_cost: 2.1532 - reader cost: 0.0078 52/125 [===========>..................] - ETA: 2:37 - batch_cost: 2.1517 - reader cost: 0.0076 53/125 [===========>..................] - ETA: 2:34 - batch_cost: 2.1506 - reader cost: 0.0075 54/125 [===========>..................] - ETA: 2:32 - batch_cost: 2.1501 - reader cost: 0.0074 55/125 [============>.................] - ETA: 2:30 - batch_cost: 2.1496 - reader cost: 0.0072 56/125 [============>.................] - ETA: 2:28 - batch_cost: 2.1484 - reader cost: 0.0071 57/125 [============>.................] - ETA: 2:26 - batch_cost: 2.1473 - reader cost: 0.0070 58/125 [============>.................] - ETA: 2:23 - batch_cost: 2.1467 - reader cost: 0.0069 59/125 [=============>................] - ETA: 2:21 - batch_cost: 2.1449 - reader cost: 0.0067 60/125 [=============>................] - ETA: 2:19 - batch_cost: 2.1442 - reader cost: 0.0066 61/125 [=============>................] - ETA: 2:17 - batch_cost: 2.1434 - reader cost: 0.0065 62/125 [=============>................] - ETA: 2:15 - batch_cost: 2.1434 - reader cost: 0.0064 63/125 [==============>...............] - ETA: 2:12 - batch_cost: 2.1426 - reader cost: 0.0063 64/125 [==============>...............] - ETA: 2:10 - batch_cost: 2.1416 - reader cost: 0.0062 65/125 [==============>...............] - ETA: 2:08 - batch_cost: 2.1410 - reader cost: 0.0061 66/125 [==============>...............] - ETA: 2:06 - batch_cost: 2.1407 - reader cost: 0.0061 67/125 [===============>..............] - ETA: 2:04 - batch_cost: 2.1399 - reader cost: 0.0060 68/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1391 - reader cost: 0.0059 69/125 [===============>..............] - ETA: 1:59 - batch_cost: 2.1384 - reader cost: 0.0058 70/125 [===============>..............] - ETA: 1:57 - batch_cost: 2.1374 - reader cost: 0.0057 71/125 [================>.............] - ETA: 1:55 - batch_cost: 2.1369 - reader cost: 0.0056 72/125 [================>.............] - ETA: 1:53 - batch_cost: 2.1369 - reader cost: 0.0056 73/125 [================>.............] - ETA: 1:51 - batch_cost: 2.1363 - reader cost: 0.0055 74/125 [================>.............] - ETA: 1:48 - batch_cost: 2.1360 - reader cost: 0.0054 75/125 [=================>............] - ETA: 1:46 - batch_cost: 2.1341 - reader cost: 0.0053 76/125 [=================>............] - ETA: 1:44 - batch_cost: 2.1321 - reader cost: 0.0053 77/125 [=================>............] - ETA: 1:42 - batch_cost: 2.1321 - reader cost: 0.0052 78/125 [=================>............] - ETA: 1:40 - batch_cost: 2.1302 - reader cost: 0.0051 79/125 [=================>............] - ETA: 1:37 - batch_cost: 2.1285 - reader cost: 0.0051 80/125 [==================>...........] - ETA: 1:35 - batch_cost: 2.1263 - reader cost: 0.0050 81/125 [==================>...........] - ETA: 1:33 - batch_cost: 2.1245 - reader cost: 0.0050 82/125 [==================>...........] - ETA: 1:31 - batch_cost: 2.1222 - reader cost: 0.0049 83/125 [==================>...........] - ETA: 1:29 - batch_cost: 2.1205 - reader cost: 0.0048 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1186 - reader cost: 0.0048 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1171 - reader cost: 0.0047 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1152 - reader cost: 0.0047 87/125 [===================>..........] - ETA: 1:20 - batch_cost: 2.1137 - reader cost: 0.0046 88/125 [====================>.........] - ETA: 1:18 - batch_cost: 2.1119 - reader cost: 0.0046 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.1105 - reader cost: 0.0045 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.1091 - reader cost: 0.0045 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.1072 - reader cost: 0.0044 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1057 - reader cost: 0.0044 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1043 - reader cost: 0.0043 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1031 - reader cost: 0.0043 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1014 - reader cost: 0.0043 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.1006 - reader cost: 0.0042 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.0993 - reader cost: 0.0042  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.0984 - reader cost: 0.0041 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.0973 - reader cost: 0.0041 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.0957 - reader cost: 0.0041 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.0947 - reader cost: 0.0040 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.0934 - reader cost: 0.0040 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.0934 - reader cost: 0.0039 104/125 [=======================>......] - ETA: 43s - batch_cost: 2.0937 - reader cost: 0.0039 105/125 [========================>.....] - ETA: 41s - batch_cost: 2.0939 - reader cost: 0.0039 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.0940 - reader cost: 0.0038 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.0938 - reader cost: 0.0038 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.0938 - reader cost: 0.0038 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.0941 - reader cost: 0.0037 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.0949 - reader cost: 0.0037 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.0952 - reader cost: 0.0037 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.0954 - reader cost: 0.0036 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.0957 - reader cost: 0.0036 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.0961 - reader cost: 0.0036 115/125 [==========================>...] - ETA: 20s - batch_cost: 2.0961 - reader cost: 0.0035 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.0964 - reader cost: 0.0035 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.0959 - reader cost: 0.0035 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.0955 - reader cost: 0.0035 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0966 - reader cost: 0.0034 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0966 - reader cost: 0.0034 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0967 - reader cost: 0.0034  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0965 - reader cost: 0.0034 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0963 - reader cost: 0.0033 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0961 - reader cost: 0.0033 125/125 [==============================] - 262s 2s/step - batch_cost: 2.0956 - reader cost: 0.0033 2021-08-23 00:12:23 [INFO] [EVAL] #Images: 500 mIoU: 0.8229 Acc: 0.9674 Kappa: 0.9577 2021-08-23 00:12:23 [INFO] [EVAL] Class IoU: [0.985 0.8768 0.9369 0.6851 0.6646 0.6979 0.7588 0.8242 0.9324 0.6587 0.9566 0.848 0.6778 0.9591 0.88 0.9019 0.8665 0.7278 0.7966] 2021-08-23 00:12:23 [INFO] [EVAL] Class Acc: [0.9929 0.9332 0.9632 0.8884 0.8564 0.845 0.8595 0.9145 0.9616 0.8377 0.9734 0.9036 0.8085 0.9774 0.9626 0.9419 0.957 0.8624 0.8739] 2021-08-23 00:12:27 [INFO] [EVAL] The model with the best validation mIoU (0.8229) was saved at iter 100000. 2021-08-23 00:12:39 [INFO] [TRAIN] epoch: 269, iter: 100010/160000, loss: 0.0491, lr: 0.000022, batch_cost: 1.2208, reader_cost: 0.00084, ips: 1.6383 samples/sec | ETA 20:20:35 2021-08-23 00:12:51 [INFO] [TRAIN] epoch: 269, iter: 100020/160000, loss: 0.0607, lr: 0.000022, batch_cost: 1.2158, reader_cost: 0.00021, ips: 1.6451 samples/sec | ETA 20:15:20 2021-08-23 00:13:04 [INFO] [TRAIN] epoch: 269, iter: 100030/160000, loss: 0.0601, lr: 0.000022, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6317 samples/sec | ETA 20:25:05 2021-08-23 00:13:16 [INFO] [TRAIN] epoch: 269, iter: 100040/160000, loss: 0.0594, lr: 0.000022, batch_cost: 1.2180, reader_cost: 0.00020, ips: 1.6420 samples/sec | ETA 20:17:10 2021-08-23 00:13:28 [INFO] [TRAIN] epoch: 269, iter: 100050/160000, loss: 0.0580, lr: 0.000022, batch_cost: 1.2177, reader_cost: 0.00020, ips: 1.6424 samples/sec | ETA 20:16:43 2021-08-23 00:13:40 [INFO] [TRAIN] epoch: 269, iter: 100060/160000, loss: 0.0676, lr: 0.000022, batch_cost: 1.1968, reader_cost: 0.00066, ips: 1.6711 samples/sec | ETA 19:55:39 2021-08-23 00:13:55 [INFO] [TRAIN] epoch: 270, iter: 100070/160000, loss: 0.0630, lr: 0.000022, batch_cost: 1.4513, reader_cost: 0.18679, ips: 1.3781 samples/sec | ETA 24:09:35 2021-08-23 00:14:07 [INFO] [TRAIN] epoch: 270, iter: 100080/160000, loss: 0.0458, lr: 0.000022, batch_cost: 1.2279, reader_cost: 0.00071, ips: 1.6288 samples/sec | ETA 20:26:15 2021-08-23 00:14:19 [INFO] [TRAIN] epoch: 270, iter: 100090/160000, loss: 0.0622, lr: 0.000022, batch_cost: 1.2242, reader_cost: 0.00023, ips: 1.6337 samples/sec | ETA 20:22:21 2021-08-23 00:14:31 [INFO] [TRAIN] epoch: 270, iter: 100100/160000, loss: 0.0477, lr: 0.000022, batch_cost: 1.2090, reader_cost: 0.00023, ips: 1.6542 samples/sec | ETA 20:06:59 2021-08-23 00:14:43 [INFO] [TRAIN] epoch: 270, iter: 100110/160000, loss: 0.0553, lr: 0.000022, batch_cost: 1.2191, reader_cost: 0.00021, ips: 1.6406 samples/sec | ETA 20:16:50 2021-08-23 00:14:56 [INFO] [TRAIN] epoch: 270, iter: 100120/160000, loss: 0.0528, lr: 0.000022, batch_cost: 1.2244, reader_cost: 0.00021, ips: 1.6334 samples/sec | ETA 20:21:58 2021-08-23 00:15:08 [INFO] [TRAIN] epoch: 270, iter: 100130/160000, loss: 0.0585, lr: 0.000022, batch_cost: 1.2196, reader_cost: 0.00021, ips: 1.6399 samples/sec | ETA 20:16:57 2021-08-23 00:15:20 [INFO] [TRAIN] epoch: 270, iter: 100140/160000, loss: 0.0561, lr: 0.000022, batch_cost: 1.2180, reader_cost: 0.00022, ips: 1.6420 samples/sec | ETA 20:15:11 2021-08-23 00:15:32 [INFO] [TRAIN] epoch: 270, iter: 100150/160000, loss: 0.0483, lr: 0.000022, batch_cost: 1.2253, reader_cost: 0.00024, ips: 1.6323 samples/sec | ETA 20:22:14 2021-08-23 00:15:44 [INFO] [TRAIN] epoch: 270, iter: 100160/160000, loss: 0.0587, lr: 0.000022, batch_cost: 1.2272, reader_cost: 0.00023, ips: 1.6297 samples/sec | ETA 20:23:56 2021-08-23 00:15:57 [INFO] [TRAIN] epoch: 270, iter: 100170/160000, loss: 0.0563, lr: 0.000022, batch_cost: 1.2393, reader_cost: 0.00023, ips: 1.6139 samples/sec | ETA 20:35:44 2021-08-23 00:16:09 [INFO] [TRAIN] epoch: 270, iter: 100180/160000, loss: 0.0635, lr: 0.000022, batch_cost: 1.2331, reader_cost: 0.00022, ips: 1.6220 samples/sec | ETA 20:29:21 2021-08-23 00:16:21 [INFO] [TRAIN] epoch: 270, iter: 100190/160000, loss: 0.0565, lr: 0.000022, batch_cost: 1.2202, reader_cost: 0.00021, ips: 1.6391 samples/sec | ETA 20:16:17 2021-08-23 00:16:34 [INFO] [TRAIN] epoch: 270, iter: 100200/160000, loss: 0.0580, lr: 0.000022, batch_cost: 1.2199, reader_cost: 0.00022, ips: 1.6395 samples/sec | ETA 20:15:47 2021-08-23 00:16:46 [INFO] [TRAIN] epoch: 270, iter: 100210/160000, loss: 0.0590, lr: 0.000022, batch_cost: 1.2264, reader_cost: 0.00020, ips: 1.6308 samples/sec | ETA 20:22:07 2021-08-23 00:16:58 [INFO] [TRAIN] epoch: 270, iter: 100220/160000, loss: 0.0536, lr: 0.000022, batch_cost: 1.2318, reader_cost: 0.00023, ips: 1.6236 samples/sec | ETA 20:27:17 2021-08-23 00:17:10 [INFO] [TRAIN] epoch: 270, iter: 100230/160000, loss: 0.0578, lr: 0.000022, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6384 samples/sec | ETA 20:16:02 2021-08-23 00:17:23 [INFO] [TRAIN] epoch: 270, iter: 100240/160000, loss: 0.0482, lr: 0.000022, batch_cost: 1.2264, reader_cost: 0.00022, ips: 1.6309 samples/sec | ETA 20:21:26 2021-08-23 00:17:35 [INFO] [TRAIN] epoch: 270, iter: 100250/160000, loss: 0.0514, lr: 0.000022, batch_cost: 1.2348, reader_cost: 0.00021, ips: 1.6197 samples/sec | ETA 20:29:38 2021-08-23 00:17:47 [INFO] [TRAIN] epoch: 270, iter: 100260/160000, loss: 0.0694, lr: 0.000022, batch_cost: 1.2292, reader_cost: 0.00022, ips: 1.6270 samples/sec | ETA 20:23:54 2021-08-23 00:18:00 [INFO] [TRAIN] epoch: 270, iter: 100270/160000, loss: 0.0480, lr: 0.000022, batch_cost: 1.2222, reader_cost: 0.00021, ips: 1.6364 samples/sec | ETA 20:16:42 2021-08-23 00:18:12 [INFO] [TRAIN] epoch: 270, iter: 100280/160000, loss: 0.0595, lr: 0.000022, batch_cost: 1.2194, reader_cost: 0.00021, ips: 1.6402 samples/sec | ETA 20:13:42 2021-08-23 00:18:24 [INFO] [TRAIN] epoch: 270, iter: 100290/160000, loss: 0.0620, lr: 0.000022, batch_cost: 1.2396, reader_cost: 0.00022, ips: 1.6134 samples/sec | ETA 20:33:35 2021-08-23 00:18:36 [INFO] [TRAIN] epoch: 270, iter: 100300/160000, loss: 0.0628, lr: 0.000022, batch_cost: 1.2290, reader_cost: 0.00021, ips: 1.6273 samples/sec | ETA 20:22:52 2021-08-23 00:18:49 [INFO] [TRAIN] epoch: 270, iter: 100310/160000, loss: 0.0575, lr: 0.000022, batch_cost: 1.2364, reader_cost: 0.00023, ips: 1.6176 samples/sec | ETA 20:30:00 2021-08-23 00:19:01 [INFO] [TRAIN] epoch: 270, iter: 100320/160000, loss: 0.0521, lr: 0.000022, batch_cost: 1.2346, reader_cost: 0.00022, ips: 1.6199 samples/sec | ETA 20:28:01 2021-08-23 00:19:13 [INFO] [TRAIN] epoch: 270, iter: 100330/160000, loss: 0.0548, lr: 0.000022, batch_cost: 1.2280, reader_cost: 0.00020, ips: 1.6286 samples/sec | ETA 20:21:17 2021-08-23 00:19:26 [INFO] [TRAIN] epoch: 270, iter: 100340/160000, loss: 0.0587, lr: 0.000022, batch_cost: 1.2283, reader_cost: 0.00023, ips: 1.6282 samples/sec | ETA 20:21:21 2021-08-23 00:19:38 [INFO] [TRAIN] epoch: 270, iter: 100350/160000, loss: 0.0662, lr: 0.000022, batch_cost: 1.2306, reader_cost: 0.00022, ips: 1.6252 samples/sec | ETA 20:23:28 2021-08-23 00:19:50 [INFO] [TRAIN] epoch: 270, iter: 100360/160000, loss: 0.0562, lr: 0.000022, batch_cost: 1.2152, reader_cost: 0.00022, ips: 1.6458 samples/sec | ETA 20:07:55 2021-08-23 00:20:03 [INFO] [TRAIN] epoch: 270, iter: 100370/160000, loss: 0.0464, lr: 0.000022, batch_cost: 1.2420, reader_cost: 0.00022, ips: 1.6104 samples/sec | ETA 20:34:18 2021-08-23 00:20:15 [INFO] [TRAIN] epoch: 270, iter: 100380/160000, loss: 0.0548, lr: 0.000022, batch_cost: 1.2425, reader_cost: 0.00021, ips: 1.6097 samples/sec | ETA 20:34:38 2021-08-23 00:20:27 [INFO] [TRAIN] epoch: 270, iter: 100390/160000, loss: 0.0474, lr: 0.000022, batch_cost: 1.2466, reader_cost: 0.00022, ips: 1.6044 samples/sec | ETA 20:38:29 2021-08-23 00:20:40 [INFO] [TRAIN] epoch: 270, iter: 100400/160000, loss: 0.0567, lr: 0.000022, batch_cost: 1.2316, reader_cost: 0.00022, ips: 1.6239 samples/sec | ETA 20:23:24 2021-08-23 00:20:52 [INFO] [TRAIN] epoch: 270, iter: 100410/160000, loss: 0.0529, lr: 0.000022, batch_cost: 1.2326, reader_cost: 0.00023, ips: 1.6226 samples/sec | ETA 20:24:08 2021-08-23 00:21:04 [INFO] [TRAIN] epoch: 270, iter: 100420/160000, loss: 0.0642, lr: 0.000022, batch_cost: 1.2062, reader_cost: 0.00020, ips: 1.6581 samples/sec | ETA 19:57:43 2021-08-23 00:21:16 [INFO] [TRAIN] epoch: 270, iter: 100430/160000, loss: 0.0581, lr: 0.000022, batch_cost: 1.2130, reader_cost: 0.00020, ips: 1.6488 samples/sec | ETA 20:04:20 2021-08-23 00:21:28 [INFO] [TRAIN] epoch: 270, iter: 100440/160000, loss: 0.0501, lr: 0.000022, batch_cost: 1.1809, reader_cost: 0.00016, ips: 1.6936 samples/sec | ETA 19:32:15 2021-08-23 00:21:43 [INFO] [TRAIN] epoch: 271, iter: 100450/160000, loss: 0.0631, lr: 0.000022, batch_cost: 1.5092, reader_cost: 0.19991, ips: 1.3252 samples/sec | ETA 24:57:52 2021-08-23 00:21:55 [INFO] [TRAIN] epoch: 271, iter: 100460/160000, loss: 0.0581, lr: 0.000022, batch_cost: 1.2230, reader_cost: 0.00076, ips: 1.6353 samples/sec | ETA 20:13:38 2021-08-23 00:22:08 [INFO] [TRAIN] epoch: 271, iter: 100470/160000, loss: 0.0572, lr: 0.000022, batch_cost: 1.2367, reader_cost: 0.00022, ips: 1.6173 samples/sec | ETA 20:26:57 2021-08-23 00:22:20 [INFO] [TRAIN] epoch: 271, iter: 100480/160000, 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batch_cost: 1.2113, reader_cost: 0.00020, ips: 1.6511 samples/sec | ETA 19:55:58 2021-08-23 00:28:15 [INFO] [TRAIN] epoch: 271, iter: 100770/160000, loss: 0.0519, lr: 0.000022, batch_cost: 1.2145, reader_cost: 0.00022, ips: 1.6468 samples/sec | ETA 19:58:52 2021-08-23 00:28:27 [INFO] [TRAIN] epoch: 271, iter: 100780/160000, loss: 0.0635, lr: 0.000022, batch_cost: 1.2191, reader_cost: 0.00019, ips: 1.6406 samples/sec | ETA 20:03:14 2021-08-23 00:28:39 [INFO] [TRAIN] epoch: 271, iter: 100790/160000, loss: 0.0593, lr: 0.000022, batch_cost: 1.2217, reader_cost: 0.00021, ips: 1.6370 samples/sec | ETA 20:05:38 2021-08-23 00:28:52 [INFO] [TRAIN] epoch: 271, iter: 100800/160000, loss: 0.0477, lr: 0.000022, batch_cost: 1.2202, reader_cost: 0.00024, ips: 1.6391 samples/sec | ETA 20:03:53 2021-08-23 00:29:03 [INFO] [TRAIN] epoch: 271, iter: 100810/160000, loss: 0.0495, lr: 0.000022, batch_cost: 1.1869, reader_cost: 0.00017, ips: 1.6850 samples/sec | ETA 19:30:55 2021-08-23 00:29:19 [INFO] [TRAIN] epoch: 272, iter: 100820/160000, loss: 0.0557, lr: 0.000022, batch_cost: 1.5231, reader_cost: 0.21048, ips: 1.3131 samples/sec | ETA 25:02:15 2021-08-23 00:29:31 [INFO] [TRAIN] epoch: 272, iter: 100830/160000, loss: 0.0508, lr: 0.000022, batch_cost: 1.2301, reader_cost: 0.00079, ips: 1.6258 samples/sec | ETA 20:13:07 2021-08-23 00:29:43 [INFO] [TRAIN] epoch: 272, iter: 100840/160000, loss: 0.0603, lr: 0.000022, batch_cost: 1.2174, reader_cost: 0.00022, ips: 1.6428 samples/sec | ETA 20:00:23 2021-08-23 00:29:55 [INFO] [TRAIN] epoch: 272, iter: 100850/160000, loss: 0.0479, lr: 0.000022, batch_cost: 1.2309, reader_cost: 0.00022, ips: 1.6248 samples/sec | ETA 20:13:29 2021-08-23 00:30:08 [INFO] [TRAIN] epoch: 272, iter: 100860/160000, loss: 0.0586, lr: 0.000022, batch_cost: 1.2491, reader_cost: 0.00024, ips: 1.6012 samples/sec | ETA 20:31:10 2021-08-23 00:30:20 [INFO] [TRAIN] epoch: 272, iter: 100870/160000, loss: 0.0497, lr: 0.000022, batch_cost: 1.2430, reader_cost: 0.00025, ips: 1.6091 samples/sec | ETA 20:24:56 2021-08-23 00:30:33 [INFO] [TRAIN] epoch: 272, iter: 100880/160000, loss: 0.0531, lr: 0.000022, batch_cost: 1.2408, reader_cost: 0.00021, ips: 1.6119 samples/sec | ETA 20:22:35 2021-08-23 00:30:45 [INFO] [TRAIN] epoch: 272, iter: 100890/160000, loss: 0.0550, lr: 0.000022, batch_cost: 1.2230, reader_cost: 0.00021, ips: 1.6353 samples/sec | ETA 20:04:53 2021-08-23 00:30:57 [INFO] [TRAIN] epoch: 272, iter: 100900/160000, loss: 0.0513, lr: 0.000022, batch_cost: 1.2226, reader_cost: 0.00022, ips: 1.6359 samples/sec | ETA 20:04:15 2021-08-23 00:31:09 [INFO] [TRAIN] epoch: 272, iter: 100910/160000, loss: 0.0601, lr: 0.000022, batch_cost: 1.2184, reader_cost: 0.00020, ips: 1.6415 samples/sec | ETA 19:59:55 2021-08-23 00:31:22 [INFO] [TRAIN] epoch: 272, iter: 100920/160000, loss: 0.0530, lr: 0.000022, batch_cost: 1.2353, reader_cost: 0.00022, ips: 1.6191 samples/sec | ETA 20:16:20 2021-08-23 00:31:34 [INFO] [TRAIN] epoch: 272, iter: 100930/160000, loss: 0.0586, lr: 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[INFO] [TRAIN] epoch: 272, iter: 100990/160000, loss: 0.0460, lr: 0.000022, batch_cost: 1.2225, reader_cost: 0.00079, ips: 1.6360 samples/sec | ETA 20:02:19 2021-08-23 00:33:00 [INFO] [TRAIN] epoch: 272, iter: 101000/160000, loss: 0.0549, lr: 0.000022, batch_cost: 1.2307, reader_cost: 0.00022, ips: 1.6251 samples/sec | ETA 20:10:09 2021-08-23 00:33:12 [INFO] [TRAIN] epoch: 272, iter: 101010/160000, loss: 0.0565, lr: 0.000022, batch_cost: 1.2142, reader_cost: 0.00022, ips: 1.6472 samples/sec | ETA 19:53:42 2021-08-23 00:33:24 [INFO] [TRAIN] epoch: 272, iter: 101020/160000, loss: 0.0486, lr: 0.000022, batch_cost: 1.2282, reader_cost: 0.00023, ips: 1.6284 samples/sec | ETA 20:07:19 2021-08-23 00:33:36 [INFO] [TRAIN] epoch: 272, iter: 101030/160000, loss: 0.0575, lr: 0.000022, batch_cost: 1.2256, reader_cost: 0.00022, ips: 1.6319 samples/sec | ETA 20:04:31 2021-08-23 00:33:49 [INFO] [TRAIN] epoch: 272, iter: 101040/160000, loss: 0.0617, lr: 0.000022, batch_cost: 1.2385, reader_cost: 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epoch: 273, iter: 101440/160000, loss: 0.0512, lr: 0.000022, batch_cost: 1.2231, reader_cost: 0.00022, ips: 1.6352 samples/sec | ETA 19:53:44 2021-08-23 00:42:13 [INFO] [TRAIN] epoch: 273, iter: 101450/160000, loss: 0.0564, lr: 0.000022, batch_cost: 1.2261, reader_cost: 0.00022, ips: 1.6311 samples/sec | ETA 19:56:30 2021-08-23 00:42:26 [INFO] [TRAIN] epoch: 273, iter: 101460/160000, loss: 0.0617, lr: 0.000022, batch_cost: 1.2295, reader_cost: 0.00022, ips: 1.6266 samples/sec | ETA 19:59:37 2021-08-23 00:42:38 [INFO] [TRAIN] epoch: 273, iter: 101470/160000, loss: 0.0565, lr: 0.000022, batch_cost: 1.2261, reader_cost: 0.00022, ips: 1.6312 samples/sec | ETA 19:56:04 2021-08-23 00:42:50 [INFO] [TRAIN] epoch: 273, iter: 101480/160000, loss: 0.0521, lr: 0.000022, batch_cost: 1.2340, reader_cost: 0.00023, ips: 1.6207 samples/sec | ETA 20:03:35 2021-08-23 00:43:03 [INFO] [TRAIN] epoch: 273, iter: 101490/160000, loss: 0.0644, lr: 0.000022, batch_cost: 1.2364, reader_cost: 0.00022, ips: 1.6176 samples/sec | ETA 20:05:39 2021-08-23 00:43:15 [INFO] [TRAIN] epoch: 273, iter: 101500/160000, loss: 0.0485, lr: 0.000022, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6389 samples/sec | ETA 19:49:50 2021-08-23 00:43:27 [INFO] [TRAIN] epoch: 273, iter: 101510/160000, loss: 0.0452, lr: 0.000022, batch_cost: 1.2182, reader_cost: 0.00022, ips: 1.6418 samples/sec | ETA 19:47:30 2021-08-23 00:43:39 [INFO] [TRAIN] epoch: 273, iter: 101520/160000, loss: 0.0483, lr: 0.000022, batch_cost: 1.2213, reader_cost: 0.00024, ips: 1.6376 samples/sec | ETA 19:50:20 2021-08-23 00:43:51 [INFO] [TRAIN] epoch: 273, iter: 101530/160000, loss: 0.0497, lr: 0.000022, batch_cost: 1.2243, reader_cost: 0.00021, ips: 1.6336 samples/sec | ETA 19:53:03 2021-08-23 00:44:04 [INFO] [TRAIN] epoch: 273, iter: 101540/160000, loss: 0.0580, lr: 0.000022, batch_cost: 1.2210, reader_cost: 0.00022, ips: 1.6379 samples/sec | ETA 19:49:42 2021-08-23 00:44:16 [INFO] [TRAIN] epoch: 273, iter: 101550/160000, loss: 0.0564, lr: 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[INFO] [TRAIN] epoch: 274, iter: 101610/160000, loss: 0.0626, lr: 0.000022, batch_cost: 1.2190, reader_cost: 0.00022, ips: 1.6407 samples/sec | ETA 19:46:18 2021-08-23 00:45:43 [INFO] [TRAIN] epoch: 274, iter: 101620/160000, loss: 0.0461, lr: 0.000022, batch_cost: 1.2198, reader_cost: 0.00022, ips: 1.6396 samples/sec | ETA 19:46:52 2021-08-23 00:45:55 [INFO] [TRAIN] epoch: 274, iter: 101630/160000, loss: 0.0607, lr: 0.000022, batch_cost: 1.2236, reader_cost: 0.00023, ips: 1.6345 samples/sec | ETA 19:50:20 2021-08-23 00:46:07 [INFO] [TRAIN] epoch: 274, iter: 101640/160000, loss: 0.0543, lr: 0.000022, batch_cost: 1.2327, reader_cost: 0.00022, ips: 1.6225 samples/sec | ETA 19:58:58 2021-08-23 00:46:20 [INFO] [TRAIN] epoch: 274, iter: 101650/160000, loss: 0.0526, lr: 0.000022, batch_cost: 1.2183, reader_cost: 0.00023, ips: 1.6416 samples/sec | ETA 19:44:48 2021-08-23 00:46:32 [INFO] [TRAIN] epoch: 274, iter: 101660/160000, loss: 0.0525, lr: 0.000022, batch_cost: 1.2194, reader_cost: 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epoch: 275, iter: 102060/160000, loss: 0.0573, lr: 0.000022, batch_cost: 1.2549, reader_cost: 0.00021, ips: 1.5938 samples/sec | ETA 20:11:48 2021-08-23 00:54:57 [INFO] [TRAIN] epoch: 275, iter: 102070/160000, loss: 0.0590, lr: 0.000022, batch_cost: 1.2464, reader_cost: 0.00023, ips: 1.6046 samples/sec | ETA 20:03:22 2021-08-23 00:55:09 [INFO] [TRAIN] epoch: 275, iter: 102080/160000, loss: 0.0599, lr: 0.000022, batch_cost: 1.2308, reader_cost: 0.00023, ips: 1.6250 samples/sec | ETA 19:48:08 2021-08-23 00:55:22 [INFO] [TRAIN] epoch: 275, iter: 102090/160000, loss: 0.0530, lr: 0.000022, batch_cost: 1.2335, reader_cost: 0.00022, ips: 1.6214 samples/sec | ETA 19:50:33 2021-08-23 00:55:34 [INFO] [TRAIN] epoch: 275, iter: 102100/160000, loss: 0.0513, lr: 0.000022, batch_cost: 1.2408, reader_cost: 0.00021, ips: 1.6119 samples/sec | ETA 19:57:20 2021-08-23 00:55:46 [INFO] [TRAIN] epoch: 275, iter: 102110/160000, loss: 0.0446, lr: 0.000022, batch_cost: 1.2364, reader_cost: 0.00022, ips: 1.6176 samples/sec | ETA 19:52:56 2021-08-23 00:55:59 [INFO] [TRAIN] epoch: 275, iter: 102120/160000, loss: 0.0599, lr: 0.000022, batch_cost: 1.2243, reader_cost: 0.00024, ips: 1.6336 samples/sec | ETA 19:41:00 2021-08-23 00:56:11 [INFO] [TRAIN] epoch: 275, iter: 102130/160000, loss: 0.0614, lr: 0.000022, batch_cost: 1.2378, reader_cost: 0.00023, ips: 1.6157 samples/sec | ETA 19:53:53 2021-08-23 00:56:23 [INFO] [TRAIN] epoch: 275, iter: 102140/160000, loss: 0.0577, lr: 0.000022, batch_cost: 1.2229, reader_cost: 0.00021, ips: 1.6355 samples/sec | ETA 19:39:17 2021-08-23 00:56:35 [INFO] [TRAIN] epoch: 275, iter: 102150/160000, loss: 0.0633, lr: 0.000022, batch_cost: 1.2209, reader_cost: 0.00022, ips: 1.6381 samples/sec | ETA 19:37:09 2021-08-23 00:56:48 [INFO] [TRAIN] epoch: 275, iter: 102160/160000, loss: 0.0515, lr: 0.000022, batch_cost: 1.2139, reader_cost: 0.00022, ips: 1.6476 samples/sec | ETA 19:30:12 2021-08-23 00:57:00 [INFO] [TRAIN] epoch: 275, iter: 102170/160000, loss: 0.0561, lr: 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[INFO] [TRAIN] epoch: 275, iter: 102230/160000, loss: 0.0513, lr: 0.000022, batch_cost: 1.2385, reader_cost: 0.00021, ips: 1.6149 samples/sec | ETA 19:52:28 2021-08-23 00:58:25 [INFO] [TRAIN] epoch: 275, iter: 102240/160000, loss: 0.0699, lr: 0.000022, batch_cost: 1.2279, reader_cost: 0.00021, ips: 1.6288 samples/sec | ETA 19:42:01 2021-08-23 00:58:38 [INFO] [TRAIN] epoch: 275, iter: 102250/160000, loss: 0.0674, lr: 0.000022, batch_cost: 1.2403, reader_cost: 0.00022, ips: 1.6125 samples/sec | ETA 19:53:46 2021-08-23 00:58:50 [INFO] [TRAIN] epoch: 275, iter: 102260/160000, loss: 0.0499, lr: 0.000022, batch_cost: 1.2341, reader_cost: 0.00023, ips: 1.6207 samples/sec | ETA 19:47:34 2021-08-23 00:59:02 [INFO] [TRAIN] epoch: 275, iter: 102270/160000, loss: 0.0451, lr: 0.000022, batch_cost: 1.2343, reader_cost: 0.00021, ips: 1.6203 samples/sec | ETA 19:47:38 2021-08-23 00:59:15 [INFO] [TRAIN] epoch: 275, iter: 102280/160000, loss: 0.0567, lr: 0.000022, batch_cost: 1.2277, reader_cost: 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2021-08-23 01:01:44 [INFO] [TRAIN] epoch: 276, iter: 102400/160000, loss: 0.0503, lr: 0.000022, batch_cost: 1.2058, reader_cost: 0.00021, ips: 1.6586 samples/sec | ETA 19:17:35 2021-08-23 01:01:56 [INFO] [TRAIN] epoch: 276, iter: 102410/160000, loss: 0.0540, lr: 0.000022, batch_cost: 1.2011, reader_cost: 0.00020, ips: 1.6652 samples/sec | ETA 19:12:49 2021-08-23 01:02:08 [INFO] [TRAIN] epoch: 276, iter: 102420/160000, loss: 0.0569, lr: 0.000022, batch_cost: 1.2379, reader_cost: 0.00020, ips: 1.6157 samples/sec | ETA 19:47:55 2021-08-23 01:02:21 [INFO] [TRAIN] epoch: 276, iter: 102430/160000, loss: 0.0540, lr: 0.000022, batch_cost: 1.2373, reader_cost: 0.00022, ips: 1.6164 samples/sec | ETA 19:47:11 2021-08-23 01:02:33 [INFO] [TRAIN] epoch: 276, iter: 102440/160000, loss: 0.0683, lr: 0.000022, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6378 samples/sec | ETA 19:31:29 2021-08-23 01:02:45 [INFO] [TRAIN] epoch: 276, iter: 102450/160000, loss: 0.0633, lr: 0.000022, batch_cost: 1.2262, 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19:33:37 2021-08-23 01:05:12 [INFO] [TRAIN] epoch: 276, iter: 102570/160000, loss: 0.0506, lr: 0.000022, batch_cost: 1.2412, reader_cost: 0.00022, ips: 1.6114 samples/sec | ETA 19:48:00 2021-08-23 01:05:25 [INFO] [TRAIN] epoch: 276, iter: 102580/160000, loss: 0.0512, lr: 0.000022, batch_cost: 1.2236, reader_cost: 0.00020, ips: 1.6346 samples/sec | ETA 19:30:56 2021-08-23 01:05:37 [INFO] [TRAIN] epoch: 276, iter: 102590/160000, loss: 0.0510, lr: 0.000022, batch_cost: 1.2135, reader_cost: 0.00021, ips: 1.6481 samples/sec | ETA 19:21:08 2021-08-23 01:05:49 [INFO] [TRAIN] epoch: 276, iter: 102600/160000, loss: 0.0527, lr: 0.000022, batch_cost: 1.2136, reader_cost: 0.00021, ips: 1.6480 samples/sec | ETA 19:20:59 2021-08-23 01:06:01 [INFO] [TRAIN] epoch: 276, iter: 102610/160000, loss: 0.0614, lr: 0.000022, batch_cost: 1.2252, reader_cost: 0.00023, ips: 1.6324 samples/sec | ETA 19:31:51 2021-08-23 01:06:13 [INFO] [TRAIN] epoch: 276, iter: 102620/160000, loss: 0.0605, lr: 0.000022, batch_cost: 1.2197, reader_cost: 0.00023, ips: 1.6398 samples/sec | ETA 19:26:25 2021-08-23 01:06:26 [INFO] [TRAIN] epoch: 276, iter: 102630/160000, loss: 0.0653, lr: 0.000022, batch_cost: 1.2316, reader_cost: 0.00021, ips: 1.6239 samples/sec | ETA 19:37:36 2021-08-23 01:06:38 [INFO] [TRAIN] epoch: 276, iter: 102640/160000, loss: 0.0548, lr: 0.000022, batch_cost: 1.2290, reader_cost: 0.00022, ips: 1.6273 samples/sec | ETA 19:34:56 2021-08-23 01:06:50 [INFO] [TRAIN] epoch: 276, iter: 102650/160000, loss: 0.0532, lr: 0.000022, batch_cost: 1.2177, reader_cost: 0.00022, ips: 1.6425 samples/sec | ETA 19:23:53 2021-08-23 01:07:02 [INFO] [TRAIN] epoch: 276, iter: 102660/160000, loss: 0.0561, lr: 0.000022, batch_cost: 1.2247, reader_cost: 0.00022, ips: 1.6330 samples/sec | ETA 19:30:25 2021-08-23 01:07:14 [INFO] [TRAIN] epoch: 276, iter: 102670/160000, loss: 0.0598, lr: 0.000021, batch_cost: 1.2020, reader_cost: 0.00015, ips: 1.6638 samples/sec | ETA 19:08:33 2021-08-23 01:07:29 [INFO] [TRAIN] epoch: 277, iter: 102680/160000, loss: 0.0540, lr: 0.000021, batch_cost: 1.4821, reader_cost: 0.22759, ips: 1.3495 samples/sec | ETA 23:35:52 2021-08-23 01:07:41 [INFO] [TRAIN] epoch: 277, iter: 102690/160000, loss: 0.0573, lr: 0.000021, batch_cost: 1.2140, reader_cost: 0.00077, ips: 1.6474 samples/sec | ETA 19:19:36 2021-08-23 01:07:54 [INFO] [TRAIN] epoch: 277, iter: 102700/160000, loss: 0.0477, lr: 0.000021, batch_cost: 1.2293, reader_cost: 0.00081, ips: 1.6270 samples/sec | ETA 19:33:57 2021-08-23 01:08:06 [INFO] [TRAIN] epoch: 277, iter: 102710/160000, loss: 0.0510, lr: 0.000021, batch_cost: 1.2259, reader_cost: 0.00022, ips: 1.6315 samples/sec | ETA 19:30:31 2021-08-23 01:08:18 [INFO] [TRAIN] epoch: 277, iter: 102720/160000, loss: 0.0618, lr: 0.000021, batch_cost: 1.2087, reader_cost: 0.00021, ips: 1.6546 samples/sec | ETA 19:13:55 2021-08-23 01:08:30 [INFO] [TRAIN] epoch: 277, iter: 102730/160000, loss: 0.0481, lr: 0.000021, batch_cost: 1.2265, reader_cost: 0.00022, ips: 1.6307 samples/sec | ETA 19:30:38 2021-08-23 01:08:43 [INFO] [TRAIN] epoch: 277, iter: 102740/160000, loss: 0.0630, lr: 0.000021, batch_cost: 1.2286, reader_cost: 0.00022, ips: 1.6278 samples/sec | ETA 19:32:32 2021-08-23 01:08:55 [INFO] [TRAIN] epoch: 277, iter: 102750/160000, loss: 0.0657, lr: 0.000021, batch_cost: 1.2259, reader_cost: 0.00021, ips: 1.6315 samples/sec | ETA 19:29:42 2021-08-23 01:09:07 [INFO] [TRAIN] epoch: 277, iter: 102760/160000, loss: 0.0592, lr: 0.000021, batch_cost: 1.2256, reader_cost: 0.00023, ips: 1.6319 samples/sec | ETA 19:29:12 2021-08-23 01:09:19 [INFO] [TRAIN] epoch: 277, iter: 102770/160000, loss: 0.0541, lr: 0.000021, batch_cost: 1.2328, reader_cost: 0.00021, ips: 1.6223 samples/sec | ETA 19:35:52 2021-08-23 01:09:32 [INFO] [TRAIN] epoch: 277, iter: 102780/160000, loss: 0.0721, lr: 0.000021, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6390 samples/sec | ETA 19:23:44 2021-08-23 01:09:44 [INFO] [TRAIN] epoch: 277, iter: 102790/160000, loss: 0.0643, lr: 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[INFO] [TRAIN] epoch: 277, iter: 102850/160000, loss: 0.0770, lr: 0.000021, batch_cost: 1.2221, reader_cost: 0.00023, ips: 1.6365 samples/sec | ETA 19:24:03 2021-08-23 01:11:09 [INFO] [TRAIN] epoch: 277, iter: 102860/160000, loss: 0.0627, lr: 0.000021, batch_cost: 1.2159, reader_cost: 0.00022, ips: 1.6449 samples/sec | ETA 19:17:57 2021-08-23 01:11:22 [INFO] [TRAIN] epoch: 277, iter: 102870/160000, loss: 0.0597, lr: 0.000021, batch_cost: 1.2314, reader_cost: 0.00022, ips: 1.6242 samples/sec | ETA 19:32:27 2021-08-23 01:11:34 [INFO] [TRAIN] epoch: 277, iter: 102880/160000, loss: 0.0419, lr: 0.000021, batch_cost: 1.2353, reader_cost: 0.00022, ips: 1.6190 samples/sec | ETA 19:36:01 2021-08-23 01:11:47 [INFO] [TRAIN] epoch: 277, iter: 102890/160000, loss: 0.0638, lr: 0.000021, batch_cost: 1.2497, reader_cost: 0.00023, ips: 1.6004 samples/sec | ETA 19:49:29 2021-08-23 01:11:59 [INFO] [TRAIN] epoch: 277, iter: 102900/160000, loss: 0.0621, lr: 0.000021, batch_cost: 1.2392, reader_cost: 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loss: 0.0474, lr: 0.000021, batch_cost: 1.2178, reader_cost: 0.00021, ips: 1.6423 samples/sec | ETA 19:17:42 2021-08-23 01:13:25 [INFO] [TRAIN] epoch: 277, iter: 102970/160000, loss: 0.0563, lr: 0.000021, batch_cost: 1.2214, reader_cost: 0.00021, ips: 1.6374 samples/sec | ETA 19:20:58 2021-08-23 01:13:37 [INFO] [TRAIN] epoch: 277, iter: 102980/160000, loss: 0.0586, lr: 0.000021, batch_cost: 1.2344, reader_cost: 0.00023, ips: 1.6202 samples/sec | ETA 19:33:07 2021-08-23 01:13:49 [INFO] [TRAIN] epoch: 277, iter: 102990/160000, loss: 0.0474, lr: 0.000021, batch_cost: 1.2391, reader_cost: 0.00021, ips: 1.6141 samples/sec | ETA 19:37:22 2021-08-23 01:14:02 [INFO] [TRAIN] epoch: 277, iter: 103000/160000, loss: 0.0706, lr: 0.000021, batch_cost: 1.2340, reader_cost: 0.00023, ips: 1.6207 samples/sec | ETA 19:32:19 2021-08-23 01:14:14 [INFO] [TRAIN] epoch: 277, iter: 103010/160000, loss: 0.0660, lr: 0.000021, batch_cost: 1.2449, reader_cost: 0.00022, ips: 1.6065 samples/sec | ETA 19:42:29 2021-08-23 01:14:26 [INFO] [TRAIN] epoch: 277, iter: 103020/160000, loss: 0.0563, lr: 0.000021, batch_cost: 1.2157, reader_cost: 0.00022, ips: 1.6452 samples/sec | ETA 19:14:28 2021-08-23 01:14:38 [INFO] [TRAIN] epoch: 277, iter: 103030/160000, loss: 0.0599, lr: 0.000021, batch_cost: 1.2146, reader_cost: 0.00022, ips: 1.6467 samples/sec | ETA 19:13:13 2021-08-23 01:14:50 [INFO] [TRAIN] epoch: 277, iter: 103040/160000, loss: 0.0617, lr: 0.000021, batch_cost: 1.1926, reader_cost: 0.00018, ips: 1.6769 samples/sec | ETA 18:52:13 2021-08-23 01:15:05 [INFO] [TRAIN] epoch: 278, iter: 103050/160000, loss: 0.0539, lr: 0.000021, batch_cost: 1.4741, reader_cost: 0.21831, ips: 1.3567 samples/sec | ETA 23:19:12 2021-08-23 01:15:17 [INFO] [TRAIN] epoch: 278, iter: 103060/160000, loss: 0.0635, lr: 0.000021, batch_cost: 1.2212, reader_cost: 0.00083, ips: 1.6377 samples/sec | ETA 19:18:56 2021-08-23 01:15:29 [INFO] [TRAIN] epoch: 278, iter: 103070/160000, loss: 0.0503, lr: 0.000021, batch_cost: 1.2164, reader_cost: 0.00023, ips: 1.6441 samples/sec | ETA 19:14:11 2021-08-23 01:15:42 [INFO] [TRAIN] epoch: 278, iter: 103080/160000, loss: 0.0576, lr: 0.000021, batch_cost: 1.2165, reader_cost: 0.00021, ips: 1.6440 samples/sec | ETA 19:14:04 2021-08-23 01:15:54 [INFO] [TRAIN] epoch: 278, iter: 103090/160000, loss: 0.0517, lr: 0.000021, batch_cost: 1.2185, reader_cost: 0.00021, ips: 1.6414 samples/sec | ETA 19:15:43 2021-08-23 01:16:06 [INFO] [TRAIN] epoch: 278, iter: 103100/160000, loss: 0.0545, lr: 0.000021, batch_cost: 1.2278, reader_cost: 0.00024, ips: 1.6289 samples/sec | ETA 19:24:23 2021-08-23 01:16:18 [INFO] [TRAIN] epoch: 278, iter: 103110/160000, loss: 0.0647, lr: 0.000021, batch_cost: 1.2373, reader_cost: 0.00021, ips: 1.6164 samples/sec | ETA 19:33:09 2021-08-23 01:16:31 [INFO] [TRAIN] epoch: 278, iter: 103120/160000, loss: 0.0473, lr: 0.000021, batch_cost: 1.2119, reader_cost: 0.00024, ips: 1.6503 samples/sec | ETA 19:08:52 2021-08-23 01:16:43 [INFO] [TRAIN] epoch: 278, iter: 103130/160000, loss: 0.0568, lr: 0.000021, batch_cost: 1.2148, reader_cost: 0.00023, ips: 1.6464 samples/sec | ETA 19:11:25 2021-08-23 01:16:55 [INFO] [TRAIN] epoch: 278, iter: 103140/160000, loss: 0.0521, lr: 0.000021, batch_cost: 1.2221, reader_cost: 0.00023, ips: 1.6365 samples/sec | ETA 19:18:10 2021-08-23 01:17:07 [INFO] [TRAIN] epoch: 278, iter: 103150/160000, loss: 0.0570, lr: 0.000021, batch_cost: 1.2289, reader_cost: 0.00021, ips: 1.6274 samples/sec | ETA 19:24:25 2021-08-23 01:17:19 [INFO] [TRAIN] epoch: 278, iter: 103160/160000, loss: 0.0664, lr: 0.000021, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6329 samples/sec | ETA 19:20:18 2021-08-23 01:17:32 [INFO] [TRAIN] epoch: 278, iter: 103170/160000, loss: 0.0457, lr: 0.000021, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6377 samples/sec | ETA 19:16:42 2021-08-23 01:17:44 [INFO] [TRAIN] epoch: 278, iter: 103180/160000, loss: 0.0701, lr: 0.000021, batch_cost: 1.2087, reader_cost: 0.00021, ips: 1.6547 samples/sec | ETA 19:04:36 2021-08-23 01:17:56 [INFO] [TRAIN] epoch: 278, iter: 103190/160000, loss: 0.0618, lr: 0.000021, batch_cost: 1.2264, reader_cost: 0.00021, ips: 1.6307 samples/sec | ETA 19:21:14 2021-08-23 01:18:08 [INFO] [TRAIN] epoch: 278, iter: 103200/160000, loss: 0.0493, lr: 0.000021, batch_cost: 1.2393, reader_cost: 0.00022, ips: 1.6139 samples/sec | ETA 19:33:10 2021-08-23 01:18:21 [INFO] [TRAIN] epoch: 278, iter: 103210/160000, loss: 0.0499, lr: 0.000021, batch_cost: 1.2330, reader_cost: 0.00021, ips: 1.6221 samples/sec | ETA 19:27:02 2021-08-23 01:18:33 [INFO] [TRAIN] epoch: 278, iter: 103220/160000, loss: 0.0578, lr: 0.000021, batch_cost: 1.2250, reader_cost: 0.00022, ips: 1.6326 samples/sec | ETA 19:19:16 2021-08-23 01:18:45 [INFO] [TRAIN] epoch: 278, iter: 103230/160000, loss: 0.0494, lr: 0.000021, batch_cost: 1.2386, reader_cost: 0.00020, ips: 1.6147 samples/sec | ETA 19:31:57 2021-08-23 01:18:58 [INFO] [TRAIN] epoch: 278, iter: 103240/160000, loss: 0.0583, lr: 0.000021, batch_cost: 1.2155, reader_cost: 0.00021, ips: 1.6455 samples/sec | ETA 19:09:49 2021-08-23 01:19:10 [INFO] [TRAIN] epoch: 278, iter: 103250/160000, loss: 0.0589, lr: 0.000021, batch_cost: 1.2257, reader_cost: 0.00021, ips: 1.6318 samples/sec | ETA 19:19:17 2021-08-23 01:19:22 [INFO] [TRAIN] epoch: 278, iter: 103260/160000, loss: 0.0545, lr: 0.000021, batch_cost: 1.2068, reader_cost: 0.00073, ips: 1.6573 samples/sec | ETA 19:01:13 2021-08-23 01:19:34 [INFO] [TRAIN] epoch: 278, iter: 103270/160000, loss: 0.0520, lr: 0.000021, batch_cost: 1.2268, reader_cost: 0.00021, ips: 1.6303 samples/sec | ETA 19:19:54 2021-08-23 01:19:46 [INFO] [TRAIN] epoch: 278, iter: 103280/160000, loss: 0.0506, lr: 0.000021, batch_cost: 1.2359, reader_cost: 0.00021, ips: 1.6182 samples/sec | ETA 19:28:22 2021-08-23 01:19:59 [INFO] [TRAIN] epoch: 278, iter: 103290/160000, loss: 0.0586, lr: 0.000021, batch_cost: 1.2328, reader_cost: 0.00022, ips: 1.6224 samples/sec | ETA 19:25:09 2021-08-23 01:20:11 [INFO] [TRAIN] epoch: 278, iter: 103300/160000, loss: 0.0508, lr: 0.000021, batch_cost: 1.2259, reader_cost: 0.00023, ips: 1.6315 samples/sec | ETA 19:18:27 2021-08-23 01:20:23 [INFO] [TRAIN] epoch: 278, iter: 103310/160000, loss: 0.0553, lr: 0.000021, batch_cost: 1.2338, reader_cost: 0.00023, ips: 1.6210 samples/sec | ETA 19:25:42 2021-08-23 01:20:36 [INFO] [TRAIN] epoch: 278, iter: 103320/160000, loss: 0.0564, lr: 0.000021, batch_cost: 1.2205, reader_cost: 0.00021, ips: 1.6387 samples/sec | ETA 19:12:56 2021-08-23 01:20:48 [INFO] [TRAIN] epoch: 278, iter: 103330/160000, loss: 0.0494, lr: 0.000021, batch_cost: 1.2316, reader_cost: 0.00023, ips: 1.6239 samples/sec | ETA 19:23:15 2021-08-23 01:21:00 [INFO] [TRAIN] epoch: 278, iter: 103340/160000, loss: 0.0563, lr: 0.000021, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6332 samples/sec | ETA 19:16:24 2021-08-23 01:21:12 [INFO] [TRAIN] epoch: 278, iter: 103350/160000, loss: 0.0482, lr: 0.000021, batch_cost: 1.2291, reader_cost: 0.00022, ips: 1.6272 samples/sec | ETA 19:20:30 2021-08-23 01:21:25 [INFO] [TRAIN] epoch: 278, iter: 103360/160000, loss: 0.0500, lr: 0.000021, batch_cost: 1.2446, reader_cost: 0.00022, ips: 1.6069 samples/sec | ETA 19:34:56 2021-08-23 01:21:37 [INFO] [TRAIN] epoch: 278, iter: 103370/160000, loss: 0.0453, lr: 0.000021, batch_cost: 1.2349, reader_cost: 0.00022, ips: 1.6195 samples/sec | ETA 19:25:33 2021-08-23 01:21:50 [INFO] [TRAIN] epoch: 278, iter: 103380/160000, loss: 0.0481, lr: 0.000021, batch_cost: 1.2289, reader_cost: 0.00023, ips: 1.6275 samples/sec | ETA 19:19:37 2021-08-23 01:22:02 [INFO] [TRAIN] epoch: 278, iter: 103390/160000, loss: 0.0554, lr: 0.000021, batch_cost: 1.2236, reader_cost: 0.00025, ips: 1.6346 samples/sec | ETA 19:14:25 2021-08-23 01:22:14 [INFO] [TRAIN] epoch: 278, iter: 103400/160000, loss: 0.0459, lr: 0.000021, batch_cost: 1.2353, reader_cost: 0.00022, ips: 1.6191 samples/sec | ETA 19:25:17 2021-08-23 01:22:26 [INFO] [TRAIN] epoch: 278, iter: 103410/160000, loss: 0.0673, lr: 0.000021, batch_cost: 1.2032, reader_cost: 0.00019, ips: 1.6622 samples/sec | ETA 18:54:50 2021-08-23 01:22:41 [INFO] [TRAIN] epoch: 279, iter: 103420/160000, loss: 0.0645, lr: 0.000021, batch_cost: 1.4758, reader_cost: 0.20722, ips: 1.3552 samples/sec | ETA 23:11:39 2021-08-23 01:22:53 [INFO] [TRAIN] epoch: 279, iter: 103430/160000, loss: 0.0509, lr: 0.000021, batch_cost: 1.2377, reader_cost: 0.00077, ips: 1.6158 samples/sec | ETA 19:26:59 2021-08-23 01:23:06 [INFO] [TRAIN] epoch: 279, iter: 103440/160000, loss: 0.0592, lr: 0.000021, batch_cost: 1.2293, reader_cost: 0.00022, ips: 1.6269 samples/sec | ETA 19:18:49 2021-08-23 01:23:18 [INFO] [TRAIN] epoch: 279, iter: 103450/160000, loss: 0.0516, lr: 0.000021, batch_cost: 1.2390, reader_cost: 0.00025, ips: 1.6142 samples/sec | ETA 19:27:46 2021-08-23 01:23:30 [INFO] [TRAIN] epoch: 279, iter: 103460/160000, loss: 0.0567, lr: 0.000021, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6377 samples/sec | ETA 19:10:48 2021-08-23 01:23:42 [INFO] [TRAIN] epoch: 279, iter: 103470/160000, loss: 0.0565, lr: 0.000021, batch_cost: 1.2265, reader_cost: 0.00023, ips: 1.6307 samples/sec | ETA 19:15:33 2021-08-23 01:23:55 [INFO] [TRAIN] epoch: 279, iter: 103480/160000, loss: 0.0433, lr: 0.000021, batch_cost: 1.2172, reader_cost: 0.00021, ips: 1.6432 samples/sec | ETA 19:06:33 2021-08-23 01:24:07 [INFO] [TRAIN] epoch: 279, iter: 103490/160000, loss: 0.0550, lr: 0.000021, batch_cost: 1.2384, reader_cost: 0.00025, ips: 1.6150 samples/sec | ETA 19:26:22 2021-08-23 01:24:19 [INFO] [TRAIN] epoch: 279, iter: 103500/160000, loss: 0.0523, lr: 0.000021, batch_cost: 1.2162, reader_cost: 0.00023, ips: 1.6444 samples/sec | ETA 19:05:16 2021-08-23 01:24:31 [INFO] [TRAIN] epoch: 279, iter: 103510/160000, loss: 0.0565, lr: 0.000021, batch_cost: 1.2247, reader_cost: 0.00020, ips: 1.6330 samples/sec | ETA 19:13:05 2021-08-23 01:24:44 [INFO] [TRAIN] epoch: 279, iter: 103520/160000, loss: 0.0446, lr: 0.000021, batch_cost: 1.2163, reader_cost: 0.00022, ips: 1.6443 samples/sec | ETA 19:04:56 2021-08-23 01:24:56 [INFO] [TRAIN] epoch: 279, iter: 103530/160000, loss: 0.0561, lr: 0.000021, batch_cost: 1.2117, reader_cost: 0.00022, ips: 1.6506 samples/sec | ETA 19:00:24 2021-08-23 01:25:08 [INFO] [TRAIN] epoch: 279, iter: 103540/160000, loss: 0.0593, lr: 0.000021, batch_cost: 1.2308, reader_cost: 0.00023, ips: 1.6249 samples/sec | ETA 19:18:11 2021-08-23 01:25:20 [INFO] [TRAIN] epoch: 279, iter: 103550/160000, loss: 0.0550, lr: 0.000021, batch_cost: 1.2281, reader_cost: 0.00022, ips: 1.6285 samples/sec | ETA 19:15:25 2021-08-23 01:25:33 [INFO] [TRAIN] epoch: 279, iter: 103560/160000, loss: 0.0585, lr: 0.000021, batch_cost: 1.2307, reader_cost: 0.00023, ips: 1.6250 samples/sec | ETA 19:17:42 2021-08-23 01:25:45 [INFO] [TRAIN] epoch: 279, iter: 103570/160000, loss: 0.0573, lr: 0.000021, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6377 samples/sec | ETA 19:08:33 2021-08-23 01:25:57 [INFO] [TRAIN] epoch: 279, iter: 103580/160000, loss: 0.0454, lr: 0.000021, batch_cost: 1.2095, reader_cost: 0.00021, ips: 1.6535 samples/sec | ETA 18:57:22 2021-08-23 01:26:09 [INFO] [TRAIN] epoch: 279, iter: 103590/160000, loss: 0.0731, lr: 0.000021, batch_cost: 1.2384, reader_cost: 0.00023, ips: 1.6150 samples/sec | ETA 19:24:19 2021-08-23 01:26:21 [INFO] [TRAIN] epoch: 279, iter: 103600/160000, loss: 0.0668, lr: 0.000021, batch_cost: 1.2128, reader_cost: 0.00022, ips: 1.6490 samples/sec | ETA 19:00:03 2021-08-23 01:26:34 [INFO] [TRAIN] epoch: 279, iter: 103610/160000, loss: 0.0573, lr: 0.000021, batch_cost: 1.2189, reader_cost: 0.00022, ips: 1.6408 samples/sec | ETA 19:05:32 2021-08-23 01:26:46 [INFO] [TRAIN] epoch: 279, iter: 103620/160000, loss: 0.0545, lr: 0.000021, batch_cost: 1.2348, reader_cost: 0.00021, ips: 1.6196 samples/sec | ETA 19:20:20 2021-08-23 01:26:58 [INFO] [TRAIN] epoch: 279, iter: 103630/160000, loss: 0.0559, lr: 0.000021, batch_cost: 1.2211, reader_cost: 0.00022, ips: 1.6379 samples/sec | ETA 19:07:13 2021-08-23 01:27:10 [INFO] [TRAIN] epoch: 279, iter: 103640/160000, loss: 0.0508, lr: 0.000021, batch_cost: 1.2214, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 19:07:19 2021-08-23 01:27:23 [INFO] [TRAIN] epoch: 279, iter: 103650/160000, loss: 0.0475, lr: 0.000021, batch_cost: 1.2392, reader_cost: 0.00022, ips: 1.6139 samples/sec | ETA 19:23:50 2021-08-23 01:27:35 [INFO] [TRAIN] epoch: 279, iter: 103660/160000, loss: 0.0555, lr: 0.000021, batch_cost: 1.2318, reader_cost: 0.00021, ips: 1.6237 samples/sec | ETA 19:16:38 2021-08-23 01:27:47 [INFO] [TRAIN] epoch: 279, iter: 103670/160000, loss: 0.0530, lr: 0.000021, batch_cost: 1.2320, reader_cost: 0.00023, ips: 1.6234 samples/sec | ETA 19:16:39 2021-08-23 01:28:00 [INFO] [TRAIN] epoch: 279, iter: 103680/160000, loss: 0.0593, lr: 0.000021, batch_cost: 1.2348, reader_cost: 0.00022, ips: 1.6197 samples/sec | ETA 19:19:02 2021-08-23 01:28:12 [INFO] [TRAIN] epoch: 279, iter: 103690/160000, loss: 0.0561, lr: 0.000021, batch_cost: 1.2286, reader_cost: 0.00022, ips: 1.6278 samples/sec | ETA 19:13:05 2021-08-23 01:28:24 [INFO] [TRAIN] epoch: 279, iter: 103700/160000, loss: 0.0668, lr: 0.000021, batch_cost: 1.2104, reader_cost: 0.00022, ips: 1.6524 samples/sec | ETA 18:55:43 2021-08-23 01:28:36 [INFO] [TRAIN] epoch: 279, iter: 103710/160000, loss: 0.0515, lr: 0.000021, batch_cost: 1.2310, reader_cost: 0.00021, ips: 1.6248 samples/sec | ETA 19:14:50 2021-08-23 01:28:49 [INFO] [TRAIN] epoch: 279, iter: 103720/160000, loss: 0.0519, lr: 0.000021, batch_cost: 1.2192, reader_cost: 0.00021, ips: 1.6405 samples/sec | ETA 19:03:33 2021-08-23 01:29:01 [INFO] [TRAIN] epoch: 279, iter: 103730/160000, loss: 0.0646, lr: 0.000021, batch_cost: 1.2326, reader_cost: 0.00022, ips: 1.6225 samples/sec | ETA 19:16:00 2021-08-23 01:29:13 [INFO] [TRAIN] epoch: 279, iter: 103740/160000, loss: 0.0555, lr: 0.000021, batch_cost: 1.2284, reader_cost: 0.00022, ips: 1.6281 samples/sec | ETA 19:11:49 2021-08-23 01:29:26 [INFO] [TRAIN] epoch: 279, iter: 103750/160000, loss: 0.0555, lr: 0.000021, batch_cost: 1.2295, reader_cost: 0.00021, ips: 1.6266 samples/sec | ETA 19:12:40 2021-08-23 01:29:38 [INFO] [TRAIN] epoch: 279, iter: 103760/160000, loss: 0.0667, lr: 0.000021, batch_cost: 1.2380, reader_cost: 0.00023, ips: 1.6155 samples/sec | ETA 19:20:23 2021-08-23 01:29:50 [INFO] [TRAIN] epoch: 279, iter: 103770/160000, loss: 0.0584, lr: 0.000021, batch_cost: 1.2431, reader_cost: 0.00021, ips: 1.6088 samples/sec | ETA 19:25:01 2021-08-23 01:30:03 [INFO] [TRAIN] epoch: 279, iter: 103780/160000, loss: 0.0495, lr: 0.000021, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6305 samples/sec | ETA 19:09:20 2021-08-23 01:30:18 [INFO] [TRAIN] epoch: 280, iter: 103790/160000, loss: 0.0582, lr: 0.000021, batch_cost: 1.4856, reader_cost: 0.22745, ips: 1.3462 samples/sec | ETA 23:11:47 2021-08-23 01:30:30 [INFO] [TRAIN] epoch: 280, iter: 103800/160000, loss: 0.0598, lr: 0.000021, batch_cost: 1.2288, reader_cost: 0.00080, ips: 1.6276 samples/sec | ETA 19:10:57 2021-08-23 01:30:42 [INFO] [TRAIN] epoch: 280, iter: 103810/160000, loss: 0.0580, lr: 0.000021, batch_cost: 1.2327, reader_cost: 0.00022, ips: 1.6224 samples/sec | ETA 19:14:26 2021-08-23 01:30:54 [INFO] [TRAIN] epoch: 280, iter: 103820/160000, loss: 0.0559, lr: 0.000021, batch_cost: 1.2315, reader_cost: 0.00022, ips: 1.6240 samples/sec | ETA 19:13:07 2021-08-23 01:31:07 [INFO] [TRAIN] epoch: 280, iter: 103830/160000, loss: 0.0644, lr: 0.000021, batch_cost: 1.2339, reader_cost: 0.00021, ips: 1.6209 samples/sec | ETA 19:15:08 2021-08-23 01:31:19 [INFO] [TRAIN] epoch: 280, iter: 103840/160000, loss: 0.0444, lr: 0.000021, batch_cost: 1.2267, reader_cost: 0.00021, ips: 1.6304 samples/sec | ETA 19:08:10 2021-08-23 01:31:31 [INFO] [TRAIN] epoch: 280, iter: 103850/160000, loss: 0.0548, lr: 0.000021, batch_cost: 1.2194, reader_cost: 0.00022, ips: 1.6401 samples/sec | ETA 19:01:10 2021-08-23 01:31:44 [INFO] [TRAIN] epoch: 280, iter: 103860/160000, loss: 0.0479, lr: 0.000021, batch_cost: 1.2313, reader_cost: 0.00022, ips: 1.6244 samples/sec | ETA 19:12:02 2021-08-23 01:31:56 [INFO] [TRAIN] epoch: 280, iter: 103870/160000, loss: 0.0599, lr: 0.000021, batch_cost: 1.2299, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 19:10:31 2021-08-23 01:32:08 [INFO] [TRAIN] epoch: 280, iter: 103880/160000, loss: 0.0578, lr: 0.000021, batch_cost: 1.2255, reader_cost: 0.00023, ips: 1.6320 samples/sec | ETA 19:06:15 2021-08-23 01:32:20 [INFO] [TRAIN] epoch: 280, iter: 103890/160000, loss: 0.0486, lr: 0.000021, batch_cost: 1.2249, reader_cost: 0.00023, ips: 1.6328 samples/sec | ETA 19:05:26 2021-08-23 01:32:33 [INFO] [TRAIN] epoch: 280, iter: 103900/160000, loss: 0.0580, lr: 0.000021, batch_cost: 1.2332, reader_cost: 0.00022, ips: 1.6218 samples/sec | ETA 19:13:03 2021-08-23 01:32:45 [INFO] [TRAIN] epoch: 280, iter: 103910/160000, loss: 0.0492, lr: 0.000021, batch_cost: 1.2256, reader_cost: 0.00024, ips: 1.6319 samples/sec | ETA 19:05:41 2021-08-23 01:32:57 [INFO] [TRAIN] epoch: 280, iter: 103920/160000, loss: 0.0482, lr: 0.000021, batch_cost: 1.2093, reader_cost: 0.00021, ips: 1.6538 samples/sec | ETA 18:50:20 2021-08-23 01:33:09 [INFO] [TRAIN] epoch: 280, iter: 103930/160000, loss: 0.0582, lr: 0.000021, batch_cost: 1.2239, reader_cost: 0.00023, ips: 1.6341 samples/sec | ETA 19:03:43 2021-08-23 01:33:22 [INFO] [TRAIN] epoch: 280, iter: 103940/160000, loss: 0.0558, lr: 0.000021, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 19:03:48 2021-08-23 01:33:34 [INFO] [TRAIN] epoch: 280, iter: 103950/160000, loss: 0.0562, lr: 0.000021, batch_cost: 1.2147, reader_cost: 0.00023, ips: 1.6465 samples/sec | ETA 18:54:45 2021-08-23 01:33:46 [INFO] [TRAIN] epoch: 280, iter: 103960/160000, loss: 0.0526, lr: 0.000021, batch_cost: 1.2193, reader_cost: 0.00022, ips: 1.6402 samples/sec | ETA 18:58:51 2021-08-23 01:33:58 [INFO] [TRAIN] epoch: 280, iter: 103970/160000, loss: 0.0585, lr: 0.000021, batch_cost: 1.2256, reader_cost: 0.00021, ips: 1.6319 samples/sec | ETA 19:04:29 2021-08-23 01:34:10 [INFO] [TRAIN] epoch: 280, iter: 103980/160000, loss: 0.0559, lr: 0.000021, batch_cost: 1.2285, reader_cost: 0.00022, ips: 1.6280 samples/sec | ETA 19:07:00 2021-08-23 01:34:23 [INFO] [TRAIN] epoch: 280, iter: 103990/160000, loss: 0.0548, lr: 0.000021, batch_cost: 1.2330, reader_cost: 0.00022, ips: 1.6221 samples/sec | ETA 19:11:00 2021-08-23 01:34:35 [INFO] [TRAIN] epoch: 280, iter: 104000/160000, loss: 0.0516, lr: 0.000021, batch_cost: 1.2298, reader_cost: 0.00024, ips: 1.6262 samples/sec | ETA 19:07:50 2021-08-23 01:34:35 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:09 - batch_cost: 3.4642 - reader cost: 0.4592 2/125 [..............................] - ETA: 5:46 - batch_cost: 2.8133 - reader cost: 0.2297 3/125 [..............................] - ETA: 5:15 - batch_cost: 2.5853 - reader cost: 0.1532 4/125 [..............................] - ETA: 4:57 - batch_cost: 2.4549 - reader cost: 0.1150 5/125 [>.............................] - ETA: 4:45 - batch_cost: 2.3811 - reader cost: 0.0920 6/125 [>.............................] - ETA: 4:37 - batch_cost: 2.3306 - reader cost: 0.0767 7/125 [>.............................] - ETA: 4:32 - batch_cost: 2.3104 - reader cost: 0.0658 8/125 [>.............................] - ETA: 4:27 - batch_cost: 2.2883 - reader cost: 0.0576 9/125 [=>............................] - ETA: 4:21 - batch_cost: 2.2548 - reader cost: 0.0512 10/125 [=>............................] - ETA: 4:18 - batch_cost: 2.2436 - reader cost: 0.0461 11/125 [=>............................] - ETA: 4:13 - batch_cost: 2.2213 - reader cost: 0.0419 12/125 [=>............................] - ETA: 4:09 - batch_cost: 2.2081 - reader cost: 0.0385 13/125 [==>...........................] - ETA: 4:05 - batch_cost: 2.1927 - reader cost: 0.0355 14/125 [==>...........................] - ETA: 4:01 - batch_cost: 2.1756 - reader cost: 0.0330 15/125 [==>...........................] - ETA: 3:57 - batch_cost: 2.1605 - reader cost: 0.0308 16/125 [==>...........................] - ETA: 3:54 - batch_cost: 2.1494 - reader cost: 0.0289 17/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.1390 - reader cost: 0.0272 18/125 [===>..........................] - ETA: 3:47 - batch_cost: 2.1292 - reader cost: 0.0257 19/125 [===>..........................] - ETA: 3:44 - batch_cost: 2.1194 - reader cost: 0.0244 20/125 [===>..........................] - ETA: 3:42 - batch_cost: 2.1209 - reader cost: 0.0232 21/125 [====>.........................] - ETA: 3:39 - batch_cost: 2.1096 - reader cost: 0.0221 22/125 [====>.........................] - ETA: 3:36 - batch_cost: 2.1021 - reader cost: 0.0211 23/125 [====>.........................] - ETA: 3:33 - batch_cost: 2.0945 - reader cost: 0.0202 24/125 [====>.........................] - ETA: 3:30 - batch_cost: 2.0870 - reader cost: 0.0193 25/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.0800 - reader cost: 0.0186 26/125 [=====>........................] - ETA: 3:25 - batch_cost: 2.0736 - reader cost: 0.0179 27/125 [=====>........................] - ETA: 3:22 - batch_cost: 2.0692 - reader cost: 0.0172 28/125 [=====>........................] - ETA: 3:20 - batch_cost: 2.0643 - reader cost: 0.0166 29/125 [=====>........................] - ETA: 3:17 - batch_cost: 2.0614 - reader cost: 0.0160 30/125 [======>.......................] - ETA: 3:15 - batch_cost: 2.0575 - reader cost: 0.0155 31/125 [======>.......................] - ETA: 3:13 - batch_cost: 2.0544 - reader cost: 0.0150 32/125 [======>.......................] - ETA: 3:10 - batch_cost: 2.0517 - reader cost: 0.0146 33/125 [======>.......................] - ETA: 3:08 - batch_cost: 2.0487 - reader cost: 0.0141 34/125 [=======>......................] - ETA: 3:06 - batch_cost: 2.0454 - reader cost: 0.0137 35/125 [=======>......................] - ETA: 3:03 - batch_cost: 2.0418 - reader cost: 0.0133 36/125 [=======>......................] - ETA: 3:01 - batch_cost: 2.0404 - reader cost: 0.0130 37/125 [=======>......................] - ETA: 2:59 - batch_cost: 2.0395 - reader cost: 0.0126 38/125 [========>.....................] - ETA: 2:57 - batch_cost: 2.0390 - reader cost: 0.0123 39/125 [========>.....................] - ETA: 2:55 - batch_cost: 2.0381 - reader cost: 0.0120 40/125 [========>.....................] - ETA: 2:53 - batch_cost: 2.0370 - reader cost: 0.0117 41/125 [========>.....................] - ETA: 2:50 - batch_cost: 2.0353 - reader cost: 0.0114 42/125 [=========>....................] - ETA: 2:49 - batch_cost: 2.0371 - reader cost: 0.0111 43/125 [=========>....................] - ETA: 2:47 - batch_cost: 2.0387 - reader cost: 0.0109 44/125 [=========>....................] - ETA: 2:45 - batch_cost: 2.0398 - reader cost: 0.0106 45/125 [=========>....................] - ETA: 2:43 - batch_cost: 2.0407 - reader cost: 0.0104 46/125 [==========>...................] - ETA: 2:41 - batch_cost: 2.0411 - reader cost: 0.0102 47/125 [==========>...................] - ETA: 2:39 - batch_cost: 2.0411 - reader cost: 0.0100 48/125 [==========>...................] - ETA: 2:37 - batch_cost: 2.0420 - reader cost: 0.0098 49/125 [==========>...................] - ETA: 2:35 - batch_cost: 2.0432 - reader cost: 0.0096 50/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.0443 - reader cost: 0.0094 51/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.0449 - reader cost: 0.0092 52/125 [===========>..................] - ETA: 2:29 - batch_cost: 2.0459 - reader cost: 0.0090 53/125 [===========>..................] - ETA: 2:27 - batch_cost: 2.0470 - reader cost: 0.0089 54/125 [===========>..................] - ETA: 2:25 - batch_cost: 2.0468 - reader cost: 0.0087 55/125 [============>.................] - ETA: 2:23 - batch_cost: 2.0480 - reader cost: 0.0085 56/125 [============>.................] - ETA: 2:21 - batch_cost: 2.0484 - reader cost: 0.0084 57/125 [============>.................] - ETA: 2:19 - batch_cost: 2.0496 - reader cost: 0.0083 58/125 [============>.................] - ETA: 2:17 - batch_cost: 2.0506 - reader cost: 0.0081 59/125 [=============>................] - ETA: 2:15 - batch_cost: 2.0516 - reader cost: 0.0080 60/125 [=============>................] - ETA: 2:13 - batch_cost: 2.0522 - reader cost: 0.0078 61/125 [=============>................] - ETA: 2:11 - batch_cost: 2.0530 - reader cost: 0.0077 62/125 [=============>................] - ETA: 2:09 - batch_cost: 2.0545 - reader cost: 0.0076 63/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.0553 - reader cost: 0.0075 64/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.0564 - reader cost: 0.0074 65/125 [==============>...............] - ETA: 2:03 - batch_cost: 2.0572 - reader cost: 0.0073 66/125 [==============>...............] - ETA: 2:01 - batch_cost: 2.0579 - reader cost: 0.0072 67/125 [===============>..............] - ETA: 1:59 - batch_cost: 2.0588 - reader cost: 0.0070 68/125 [===============>..............] - ETA: 1:57 - batch_cost: 2.0595 - reader cost: 0.0069 69/125 [===============>..............] - ETA: 1:55 - batch_cost: 2.0597 - reader cost: 0.0069 70/125 [===============>..............] - ETA: 1:53 - batch_cost: 2.0605 - reader cost: 0.0068 71/125 [================>.............] - ETA: 1:51 - batch_cost: 2.0609 - reader cost: 0.0067 72/125 [================>.............] - ETA: 1:49 - batch_cost: 2.0616 - reader cost: 0.0066 73/125 [================>.............] - ETA: 1:47 - batch_cost: 2.0625 - reader cost: 0.0065 74/125 [================>.............] - ETA: 1:45 - batch_cost: 2.0629 - reader cost: 0.0064 75/125 [=================>............] - ETA: 1:43 - batch_cost: 2.0633 - reader cost: 0.0063 76/125 [=================>............] - ETA: 1:41 - batch_cost: 2.0638 - reader cost: 0.0062 77/125 [=================>............] - ETA: 1:39 - batch_cost: 2.0644 - reader cost: 0.0062 78/125 [=================>............] - ETA: 1:37 - batch_cost: 2.0646 - reader cost: 0.0061 79/125 [=================>............] - ETA: 1:35 - batch_cost: 2.0650 - reader cost: 0.0060 80/125 [==================>...........] - ETA: 1:32 - batch_cost: 2.0653 - reader cost: 0.0059 81/125 [==================>...........] - ETA: 1:30 - batch_cost: 2.0660 - reader cost: 0.0059 82/125 [==================>...........] - ETA: 1:28 - batch_cost: 2.0664 - reader cost: 0.0058 83/125 [==================>...........] - ETA: 1:26 - batch_cost: 2.0669 - reader cost: 0.0057 84/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.0666 - reader cost: 0.0057 85/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.0666 - reader cost: 0.0056 86/125 [===================>..........] - ETA: 1:20 - batch_cost: 2.0668 - reader cost: 0.0055 87/125 [===================>..........] - ETA: 1:18 - batch_cost: 2.0674 - reader cost: 0.0055 88/125 [====================>.........] - ETA: 1:16 - batch_cost: 2.0676 - reader cost: 0.0054 89/125 [====================>.........] - ETA: 1:14 - batch_cost: 2.0680 - reader cost: 0.0054 90/125 [====================>.........] - ETA: 1:12 - batch_cost: 2.0680 - reader cost: 0.0053 91/125 [====================>.........] - ETA: 1:10 - batch_cost: 2.0683 - reader cost: 0.0052 92/125 [=====================>........] - ETA: 1:08 - batch_cost: 2.0690 - reader cost: 0.0052 93/125 [=====================>........] - ETA: 1:06 - batch_cost: 2.0698 - reader cost: 0.0051 94/125 [=====================>........] - ETA: 1:04 - batch_cost: 2.0701 - reader cost: 0.0051 95/125 [=====================>........] - ETA: 1:02 - batch_cost: 2.0705 - reader cost: 0.0050 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.0708 - reader cost: 0.0050 97/125 [======================>.......] - ETA: 57s - batch_cost: 2.0711 - reader cost: 0.0049  98/125 [======================>.......] - ETA: 55s - batch_cost: 2.0715 - reader cost: 0.0049 99/125 [======================>.......] - ETA: 53s - batch_cost: 2.0719 - reader cost: 0.0048 100/125 [=======================>......] - ETA: 51s - batch_cost: 2.0719 - reader cost: 0.0048 101/125 [=======================>......] - ETA: 49s - batch_cost: 2.0719 - reader cost: 0.0047 102/125 [=======================>......] - ETA: 47s - batch_cost: 2.0716 - reader cost: 0.0047 103/125 [=======================>......] - ETA: 45s - batch_cost: 2.0712 - reader cost: 0.0047 104/125 [=======================>......] - ETA: 43s - batch_cost: 2.0707 - reader cost: 0.0046 105/125 [========================>.....] - ETA: 41s - batch_cost: 2.0704 - reader cost: 0.0046 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.0696 - reader cost: 0.0045 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.0696 - reader cost: 0.0045 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.0693 - reader cost: 0.0044 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.0689 - reader cost: 0.0044 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.0698 - reader cost: 0.0044 111/125 [=========================>....] - ETA: 28s - batch_cost: 2.0699 - reader cost: 0.0043 112/125 [=========================>....] - ETA: 26s - batch_cost: 2.0696 - reader cost: 0.0043 113/125 [==========================>...] - ETA: 24s - batch_cost: 2.0694 - reader cost: 0.0043 114/125 [==========================>...] - ETA: 22s - batch_cost: 2.0693 - reader cost: 0.0042 115/125 [==========================>...] - ETA: 20s - batch_cost: 2.0700 - reader cost: 0.0042 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.0699 - reader cost: 0.0042 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.0695 - reader cost: 0.0041 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.0692 - reader cost: 0.0041 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0687 - reader cost: 0.0041 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0680 - reader cost: 0.0040 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0677 - reader cost: 0.0040  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0673 - reader cost: 0.0040 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0672 - reader cost: 0.0039 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0664 - reader cost: 0.0039 125/125 [==============================] - 258s 2s/step - batch_cost: 2.0657 - reader cost: 0.0039 2021-08-23 01:38:53 [INFO] [EVAL] #Images: 500 mIoU: 0.8202 Acc: 0.9669 Kappa: 0.9571 2021-08-23 01:38:53 [INFO] [EVAL] Class IoU: [0.984 0.8691 0.9375 0.6926 0.6471 0.6974 0.7539 0.8222 0.932 0.6469 0.9573 0.8483 0.6688 0.9589 0.8839 0.9121 0.865 0.7128 0.7942] 2021-08-23 01:38:53 [INFO] [EVAL] Class Acc: [0.9929 0.9228 0.9649 0.8935 0.8831 0.8353 0.8701 0.9062 0.9596 0.8329 0.9756 0.9089 0.8211 0.9761 0.9633 0.952 0.96 0.8326 0.8599] 2021-08-23 01:38:56 [INFO] [EVAL] The model with the best validation mIoU (0.8229) was saved at iter 100000. 2021-08-23 01:39:08 [INFO] [TRAIN] epoch: 280, iter: 104010/160000, loss: 0.0476, lr: 0.000021, batch_cost: 1.2438, reader_cost: 0.00068, ips: 1.6080 samples/sec | ETA 19:20:40 2021-08-23 01:39:21 [INFO] [TRAIN] epoch: 280, iter: 104020/160000, loss: 0.0452, lr: 0.000021, batch_cost: 1.2405, reader_cost: 0.00022, ips: 1.6123 samples/sec | ETA 19:17:22 2021-08-23 01:39:33 [INFO] [TRAIN] epoch: 280, iter: 104030/160000, loss: 0.0546, lr: 0.000021, batch_cost: 1.2312, reader_cost: 0.00022, ips: 1.6244 samples/sec | ETA 19:08:32 2021-08-23 01:39:45 [INFO] [TRAIN] epoch: 280, iter: 104040/160000, loss: 0.0579, lr: 0.000021, batch_cost: 1.2312, reader_cost: 0.00021, ips: 1.6245 samples/sec | ETA 19:08:15 2021-08-23 01:39:58 [INFO] [TRAIN] epoch: 280, iter: 104050/160000, loss: 0.0500, lr: 0.000021, batch_cost: 1.2230, reader_cost: 0.00022, ips: 1.6354 samples/sec | ETA 19:00:25 2021-08-23 01:40:10 [INFO] [TRAIN] epoch: 280, iter: 104060/160000, loss: 0.0503, lr: 0.000021, batch_cost: 1.2303, reader_cost: 0.00021, ips: 1.6256 samples/sec | ETA 19:07:04 2021-08-23 01:40:22 [INFO] [TRAIN] epoch: 280, iter: 104070/160000, loss: 0.0580, lr: 0.000021, batch_cost: 1.2165, reader_cost: 0.00022, ips: 1.6441 samples/sec | ETA 18:53:56 2021-08-23 01:40:34 [INFO] [TRAIN] epoch: 280, iter: 104080/160000, loss: 0.0598, lr: 0.000021, batch_cost: 1.2102, reader_cost: 0.00024, ips: 1.6527 samples/sec | ETA 18:47:53 2021-08-23 01:40:46 [INFO] [TRAIN] epoch: 280, iter: 104090/160000, loss: 0.0461, lr: 0.000021, batch_cost: 1.2214, reader_cost: 0.00023, ips: 1.6375 samples/sec | ETA 18:58:05 2021-08-23 01:40:59 [INFO] [TRAIN] epoch: 280, iter: 104100/160000, loss: 0.0466, lr: 0.000021, batch_cost: 1.2234, reader_cost: 0.00023, ips: 1.6348 samples/sec | ETA 18:59:47 2021-08-23 01:41:11 [INFO] [TRAIN] epoch: 280, iter: 104110/160000, loss: 0.0588, lr: 0.000021, batch_cost: 1.2203, reader_cost: 0.00022, ips: 1.6390 samples/sec | ETA 18:56:41 2021-08-23 01:41:23 [INFO] [TRAIN] epoch: 280, iter: 104120/160000, loss: 0.0548, lr: 0.000021, batch_cost: 1.2476, reader_cost: 0.00023, ips: 1.6031 samples/sec | ETA 19:21:56 2021-08-23 01:41:36 [INFO] [TRAIN] epoch: 280, iter: 104130/160000, loss: 0.0626, lr: 0.000021, batch_cost: 1.2420, reader_cost: 0.00021, ips: 1.6103 samples/sec | ETA 19:16:31 2021-08-23 01:41:48 [INFO] [TRAIN] epoch: 280, iter: 104140/160000, loss: 0.0528, lr: 0.000021, batch_cost: 1.2394, reader_cost: 0.00021, ips: 1.6136 samples/sec | ETA 19:13:55 2021-08-23 01:42:00 [INFO] [TRAIN] epoch: 280, iter: 104150/160000, loss: 0.0601, lr: 0.000021, batch_cost: 1.2311, reader_cost: 0.00081, ips: 1.6246 samples/sec | ETA 19:05:55 2021-08-23 01:42:12 [INFO] [TRAIN] epoch: 280, iter: 104160/160000, loss: 0.0552, lr: 0.000021, batch_cost: 1.2022, reader_cost: 0.00015, ips: 1.6636 samples/sec | ETA 18:38:51 2021-08-23 01:42:27 [INFO] [TRAIN] epoch: 281, iter: 104170/160000, loss: 0.0587, lr: 0.000021, batch_cost: 1.4676, reader_cost: 0.20202, ips: 1.3627 samples/sec | ETA 22:45:37 2021-08-23 01:42:39 [INFO] [TRAIN] epoch: 281, iter: 104180/160000, loss: 0.0604, lr: 0.000021, batch_cost: 1.2236, reader_cost: 0.00075, ips: 1.6345 samples/sec | ETA 18:58:24 2021-08-23 01:42:52 [INFO] [TRAIN] epoch: 281, iter: 104190/160000, loss: 0.0486, lr: 0.000021, batch_cost: 1.2324, reader_cost: 0.00022, ips: 1.6228 samples/sec | ETA 19:06:21 2021-08-23 01:43:04 [INFO] [TRAIN] epoch: 281, iter: 104200/160000, loss: 0.0663, lr: 0.000021, batch_cost: 1.2164, reader_cost: 0.00022, ips: 1.6442 samples/sec | ETA 18:51:14 2021-08-23 01:43:16 [INFO] [TRAIN] epoch: 281, iter: 104210/160000, loss: 0.0581, lr: 0.000021, batch_cost: 1.2178, reader_cost: 0.00021, ips: 1.6423 samples/sec | ETA 18:52:19 2021-08-23 01:43:28 [INFO] [TRAIN] epoch: 281, iter: 104220/160000, loss: 0.0558, lr: 0.000021, batch_cost: 1.2237, reader_cost: 0.00021, ips: 1.6344 samples/sec | ETA 18:57:35 2021-08-23 01:43:41 [INFO] [TRAIN] epoch: 281, iter: 104230/160000, loss: 0.0574, lr: 0.000021, batch_cost: 1.2209, reader_cost: 0.00020, ips: 1.6382 samples/sec | ETA 18:54:46 2021-08-23 01:43:53 [INFO] [TRAIN] epoch: 281, iter: 104240/160000, loss: 0.0584, lr: 0.000021, batch_cost: 1.2129, reader_cost: 0.00020, ips: 1.6489 samples/sec | ETA 18:47:11 2021-08-23 01:44:05 [INFO] [TRAIN] epoch: 281, iter: 104250/160000, loss: 0.0619, lr: 0.000021, batch_cost: 1.2233, reader_cost: 0.00023, ips: 1.6350 samples/sec | ETA 18:56:36 2021-08-23 01:44:17 [INFO] [TRAIN] epoch: 281, iter: 104260/160000, loss: 0.0462, lr: 0.000021, batch_cost: 1.2262, reader_cost: 0.00022, ips: 1.6310 samples/sec | ETA 18:59:09 2021-08-23 01:44:29 [INFO] [TRAIN] epoch: 281, iter: 104270/160000, loss: 0.0557, lr: 0.000021, batch_cost: 1.2166, reader_cost: 0.00022, ips: 1.6439 samples/sec | ETA 18:50:01 2021-08-23 01:44:41 [INFO] [TRAIN] epoch: 281, iter: 104280/160000, loss: 0.0505, lr: 0.000021, batch_cost: 1.2182, reader_cost: 0.00022, ips: 1.6417 samples/sec | ETA 18:51:19 2021-08-23 01:44:54 [INFO] [TRAIN] epoch: 281, iter: 104290/160000, loss: 0.0606, lr: 0.000021, batch_cost: 1.2330, reader_cost: 0.00022, ips: 1.6221 samples/sec | ETA 19:04:48 2021-08-23 01:45:06 [INFO] [TRAIN] epoch: 281, iter: 104300/160000, loss: 0.0588, lr: 0.000021, batch_cost: 1.2372, reader_cost: 0.00022, ips: 1.6166 samples/sec | ETA 19:08:30 2021-08-23 01:45:18 [INFO] [TRAIN] epoch: 281, iter: 104310/160000, loss: 0.0561, lr: 0.000021, batch_cost: 1.2080, reader_cost: 0.00021, ips: 1.6557 samples/sec | ETA 18:41:11 2021-08-23 01:45:31 [INFO] [TRAIN] epoch: 281, iter: 104320/160000, loss: 0.0571, lr: 0.000021, batch_cost: 1.2372, reader_cost: 0.00022, ips: 1.6165 samples/sec | ETA 19:08:09 2021-08-23 01:45:43 [INFO] [TRAIN] epoch: 281, iter: 104330/160000, loss: 0.0535, lr: 0.000021, batch_cost: 1.2190, reader_cost: 0.00021, ips: 1.6407 samples/sec | ETA 18:50:59 2021-08-23 01:45:55 [INFO] [TRAIN] epoch: 281, iter: 104340/160000, loss: 0.0754, lr: 0.000021, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6405 samples/sec | ETA 18:50:58 2021-08-23 01:46:07 [INFO] [TRAIN] epoch: 281, iter: 104350/160000, loss: 0.0642, lr: 0.000021, batch_cost: 1.2362, reader_cost: 0.00023, ips: 1.6179 samples/sec | ETA 19:06:32 2021-08-23 01:46:20 [INFO] [TRAIN] epoch: 281, iter: 104360/160000, loss: 0.0488, lr: 0.000021, batch_cost: 1.2259, reader_cost: 0.00021, ips: 1.6314 samples/sec | ETA 18:56:49 2021-08-23 01:46:32 [INFO] [TRAIN] epoch: 281, iter: 104370/160000, loss: 0.0590, lr: 0.000021, batch_cost: 1.2314, reader_cost: 0.00021, ips: 1.6242 samples/sec | ETA 19:01:42 2021-08-23 01:46:44 [INFO] [TRAIN] epoch: 281, iter: 104380/160000, loss: 0.0453, lr: 0.000021, batch_cost: 1.2191, reader_cost: 0.00022, ips: 1.6406 samples/sec | ETA 18:50:05 2021-08-23 01:46:56 [INFO] [TRAIN] epoch: 281, iter: 104390/160000, loss: 0.0510, lr: 0.000021, batch_cost: 1.2230, reader_cost: 0.00022, ips: 1.6354 samples/sec | ETA 18:53:29 2021-08-23 01:47:09 [INFO] [TRAIN] epoch: 281, iter: 104400/160000, loss: 0.0531, lr: 0.000021, batch_cost: 1.2237, reader_cost: 0.00023, ips: 1.6344 samples/sec | ETA 18:53:56 2021-08-23 01:47:21 [INFO] [TRAIN] epoch: 281, iter: 104410/160000, loss: 0.0678, lr: 0.000021, batch_cost: 1.2218, reader_cost: 0.00022, ips: 1.6369 samples/sec | ETA 18:52:00 2021-08-23 01:47:33 [INFO] [TRAIN] epoch: 281, iter: 104420/160000, loss: 0.0598, lr: 0.000021, batch_cost: 1.2252, reader_cost: 0.00025, ips: 1.6324 samples/sec | ETA 18:54:55 2021-08-23 01:47:45 [INFO] [TRAIN] epoch: 281, iter: 104430/160000, loss: 0.0600, lr: 0.000021, batch_cost: 1.2285, reader_cost: 0.00022, ips: 1.6280 samples/sec | ETA 18:57:49 2021-08-23 01:47:58 [INFO] [TRAIN] epoch: 281, iter: 104440/160000, loss: 0.0513, lr: 0.000021, batch_cost: 1.2174, reader_cost: 0.00022, ips: 1.6428 samples/sec | ETA 18:47:19 2021-08-23 01:48:10 [INFO] [TRAIN] epoch: 281, iter: 104450/160000, loss: 0.0540, lr: 0.000021, batch_cost: 1.2250, reader_cost: 0.00021, ips: 1.6326 samples/sec | ETA 18:54:10 2021-08-23 01:48:22 [INFO] [TRAIN] epoch: 281, iter: 104460/160000, loss: 0.0548, lr: 0.000021, batch_cost: 1.2305, reader_cost: 0.00021, ips: 1.6253 samples/sec | ETA 18:59:03 2021-08-23 01:48:34 [INFO] [TRAIN] epoch: 281, iter: 104470/160000, loss: 0.0562, lr: 0.000021, batch_cost: 1.2262, reader_cost: 0.00023, ips: 1.6311 samples/sec | ETA 18:54:50 2021-08-23 01:48:47 [INFO] [TRAIN] epoch: 281, iter: 104480/160000, loss: 0.0514, lr: 0.000021, batch_cost: 1.2223, reader_cost: 0.00023, ips: 1.6362 samples/sec | ETA 18:51:02 2021-08-23 01:48:59 [INFO] [TRAIN] epoch: 281, iter: 104490/160000, loss: 0.0775, lr: 0.000021, batch_cost: 1.2329, reader_cost: 0.00022, ips: 1.6222 samples/sec | ETA 19:00:39 2021-08-23 01:49:11 [INFO] [TRAIN] epoch: 281, iter: 104500/160000, loss: 0.0493, lr: 0.000021, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6385 samples/sec | ETA 18:49:06 2021-08-23 01:49:23 [INFO] [TRAIN] epoch: 281, iter: 104510/160000, loss: 0.0500, lr: 0.000021, batch_cost: 1.2301, reader_cost: 0.00021, ips: 1.6259 samples/sec | ETA 18:57:36 2021-08-23 01:49:36 [INFO] [TRAIN] epoch: 281, iter: 104520/160000, loss: 0.0545, lr: 0.000021, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6288 samples/sec | ETA 18:55:24 2021-08-23 01:49:48 [INFO] [TRAIN] epoch: 281, iter: 104530/160000, loss: 0.0497, lr: 0.000021, batch_cost: 1.1912, reader_cost: 0.00018, ips: 1.6790 samples/sec | ETA 18:21:14 2021-08-23 01:50:03 [INFO] [TRAIN] epoch: 282, iter: 104540/160000, loss: 0.0588, lr: 0.000021, batch_cost: 1.5030, reader_cost: 0.19433, ips: 1.3307 samples/sec | ETA 23:09:17 2021-08-23 01:50:15 [INFO] [TRAIN] epoch: 282, iter: 104550/160000, loss: 0.0577, lr: 0.000021, batch_cost: 1.2265, reader_cost: 0.00087, ips: 1.6307 samples/sec | ETA 18:53:28 2021-08-23 01:50:27 [INFO] [TRAIN] epoch: 282, iter: 104560/160000, loss: 0.0500, lr: 0.000021, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6339 samples/sec | ETA 18:51:01 2021-08-23 01:50:39 [INFO] [TRAIN] epoch: 282, iter: 104570/160000, loss: 0.0454, lr: 0.000021, batch_cost: 1.2206, reader_cost: 0.00021, ips: 1.6385 samples/sec | ETA 18:47:40 2021-08-23 01:50:52 [INFO] [TRAIN] epoch: 282, iter: 104580/160000, loss: 0.0499, lr: 0.000021, batch_cost: 1.2217, reader_cost: 0.00023, ips: 1.6371 samples/sec | ETA 18:48:24 2021-08-23 01:51:04 [INFO] [TRAIN] epoch: 282, iter: 104590/160000, loss: 0.0502, lr: 0.000021, batch_cost: 1.2267, reader_cost: 0.00021, ips: 1.6303 samples/sec | ETA 18:52:53 2021-08-23 01:51:16 [INFO] [TRAIN] epoch: 282, iter: 104600/160000, loss: 0.0548, lr: 0.000021, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6369 samples/sec | ETA 18:48:07 2021-08-23 01:51:28 [INFO] [TRAIN] epoch: 282, iter: 104610/160000, loss: 0.0827, lr: 0.000021, batch_cost: 1.2390, reader_cost: 0.00022, ips: 1.6142 samples/sec | ETA 19:03:48 2021-08-23 01:51:41 [INFO] [TRAIN] epoch: 282, iter: 104620/160000, loss: 0.0657, lr: 0.000021, batch_cost: 1.2247, reader_cost: 0.00021, ips: 1.6330 samples/sec | ETA 18:50:25 2021-08-23 01:51:53 [INFO] [TRAIN] epoch: 282, iter: 104630/160000, loss: 0.0502, lr: 0.000021, batch_cost: 1.2176, reader_cost: 0.00020, ips: 1.6426 samples/sec | ETA 18:43:39 2021-08-23 01:52:05 [INFO] [TRAIN] epoch: 282, iter: 104640/160000, loss: 0.0487, lr: 0.000021, batch_cost: 1.2159, reader_cost: 0.00022, ips: 1.6449 samples/sec | ETA 18:41:51 2021-08-23 01:52:17 [INFO] [TRAIN] epoch: 282, iter: 104650/160000, loss: 0.0558, lr: 0.000021, batch_cost: 1.2030, reader_cost: 0.00019, ips: 1.6625 samples/sec | ETA 18:29:47 2021-08-23 01:52:29 [INFO] [TRAIN] epoch: 282, iter: 104660/160000, loss: 0.0547, lr: 0.000021, batch_cost: 1.2159, reader_cost: 0.00019, ips: 1.6448 samples/sec | ETA 18:41:30 2021-08-23 01:52:41 [INFO] [TRAIN] epoch: 282, iter: 104670/160000, loss: 0.0544, lr: 0.000021, batch_cost: 1.2213, reader_cost: 0.00023, ips: 1.6377 samples/sec | ETA 18:46:12 2021-08-23 01:52:54 [INFO] [TRAIN] epoch: 282, iter: 104680/160000, loss: 0.0484, lr: 0.000021, batch_cost: 1.2044, reader_cost: 0.00021, ips: 1.6606 samples/sec | ETA 18:30:27 2021-08-23 01:53:06 [INFO] [TRAIN] epoch: 282, iter: 104690/160000, loss: 0.0553, lr: 0.000021, batch_cost: 1.2093, reader_cost: 0.00021, ips: 1.6538 samples/sec | ETA 18:34:47 2021-08-23 01:53:18 [INFO] [TRAIN] epoch: 282, iter: 104700/160000, loss: 0.0540, lr: 0.000021, batch_cost: 1.2372, reader_cost: 0.00073, ips: 1.6165 samples/sec | ETA 19:00:17 2021-08-23 01:53:30 [INFO] [TRAIN] epoch: 282, iter: 104710/160000, loss: 0.0526, lr: 0.000021, batch_cost: 1.2329, reader_cost: 0.00022, ips: 1.6222 samples/sec | ETA 18:56:08 2021-08-23 01:53:43 [INFO] [TRAIN] epoch: 282, iter: 104720/160000, loss: 0.0543, lr: 0.000021, batch_cost: 1.2203, reader_cost: 0.00020, ips: 1.6389 samples/sec | ETA 18:44:19 2021-08-23 01:53:55 [INFO] [TRAIN] epoch: 282, iter: 104730/160000, loss: 0.0569, lr: 0.000021, batch_cost: 1.2211, reader_cost: 0.00023, ips: 1.6378 samples/sec | ETA 18:44:52 2021-08-23 01:54:07 [INFO] [TRAIN] epoch: 282, iter: 104740/160000, loss: 0.0573, lr: 0.000021, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6223 samples/sec | ETA 18:55:24 2021-08-23 01:54:19 [INFO] [TRAIN] epoch: 282, iter: 104750/160000, loss: 0.0496, lr: 0.000021, batch_cost: 1.2311, reader_cost: 0.00022, ips: 1.6245 samples/sec | ETA 18:53:39 2021-08-23 01:54:32 [INFO] [TRAIN] epoch: 282, iter: 104760/160000, loss: 0.0572, lr: 0.000021, batch_cost: 1.2211, reader_cost: 0.00022, ips: 1.6378 samples/sec | ETA 18:44:15 2021-08-23 01:54:44 [INFO] [TRAIN] epoch: 282, iter: 104770/160000, loss: 0.0604, lr: 0.000021, batch_cost: 1.2090, reader_cost: 0.00023, ips: 1.6543 samples/sec | ETA 18:32:52 2021-08-23 01:54:56 [INFO] [TRAIN] epoch: 282, iter: 104780/160000, loss: 0.0607, lr: 0.000021, batch_cost: 1.2268, reader_cost: 0.00022, ips: 1.6302 samples/sec | ETA 18:49:06 2021-08-23 01:55:08 [INFO] [TRAIN] epoch: 282, iter: 104790/160000, loss: 0.0510, lr: 0.000021, batch_cost: 1.2377, reader_cost: 0.00020, ips: 1.6160 samples/sec | ETA 18:58:51 2021-08-23 01:55:21 [INFO] [TRAIN] epoch: 282, iter: 104800/160000, loss: 0.0568, lr: 0.000021, batch_cost: 1.2438, reader_cost: 0.00021, ips: 1.6080 samples/sec | ETA 19:04:15 2021-08-23 01:55:33 [INFO] [TRAIN] epoch: 282, iter: 104810/160000, loss: 0.0544, lr: 0.000021, batch_cost: 1.2585, reader_cost: 0.00022, ips: 1.5892 samples/sec | ETA 19:17:34 2021-08-23 01:55:46 [INFO] [TRAIN] epoch: 282, iter: 104820/160000, loss: 0.0469, lr: 0.000021, batch_cost: 1.2316, reader_cost: 0.00023, ips: 1.6239 samples/sec | ETA 18:52:39 2021-08-23 01:55:58 [INFO] [TRAIN] epoch: 282, iter: 104830/160000, loss: 0.0550, lr: 0.000021, batch_cost: 1.2279, reader_cost: 0.00020, ips: 1.6288 samples/sec | ETA 18:49:04 2021-08-23 01:56:10 [INFO] [TRAIN] epoch: 282, iter: 104840/160000, loss: 0.0621, lr: 0.000021, batch_cost: 1.2352, reader_cost: 0.00022, ips: 1.6192 samples/sec | ETA 18:55:33 2021-08-23 01:56:22 [INFO] [TRAIN] epoch: 282, iter: 104850/160000, loss: 0.0475, lr: 0.000021, batch_cost: 1.2199, reader_cost: 0.00023, ips: 1.6394 samples/sec | ETA 18:41:19 2021-08-23 01:56:35 [INFO] [TRAIN] epoch: 282, iter: 104860/160000, loss: 0.0565, lr: 0.000021, batch_cost: 1.2221, reader_cost: 0.00023, ips: 1.6365 samples/sec | ETA 18:43:09 2021-08-23 01:56:47 [INFO] [TRAIN] epoch: 282, iter: 104870/160000, loss: 0.0663, lr: 0.000021, batch_cost: 1.2322, reader_cost: 0.00021, ips: 1.6231 samples/sec | ETA 18:52:13 2021-08-23 01:56:59 [INFO] [TRAIN] epoch: 282, iter: 104880/160000, loss: 0.0540, lr: 0.000021, batch_cost: 1.2387, reader_cost: 0.00024, ips: 1.6146 samples/sec | ETA 18:57:58 2021-08-23 01:57:12 [INFO] [TRAIN] epoch: 282, iter: 104890/160000, loss: 0.0551, lr: 0.000021, batch_cost: 1.2229, reader_cost: 0.00024, ips: 1.6355 samples/sec | ETA 18:43:14 2021-08-23 01:57:24 [INFO] [TRAIN] epoch: 282, iter: 104900/160000, loss: 0.0505, lr: 0.000021, batch_cost: 1.1887, reader_cost: 0.00019, ips: 1.6825 samples/sec | ETA 18:11:37 2021-08-23 01:57:39 [INFO] [TRAIN] epoch: 283, iter: 104910/160000, loss: 0.0535, lr: 0.000021, batch_cost: 1.5094, reader_cost: 0.20080, ips: 1.3250 samples/sec | ETA 23:05:53 2021-08-23 01:57:51 [INFO] [TRAIN] epoch: 283, iter: 104920/160000, loss: 0.0520, lr: 0.000021, batch_cost: 1.2238, reader_cost: 0.00085, ips: 1.6343 samples/sec | ETA 18:43:24 2021-08-23 01:58:03 [INFO] [TRAIN] epoch: 283, iter: 104930/160000, loss: 0.0478, lr: 0.000021, batch_cost: 1.2266, reader_cost: 0.00021, ips: 1.6306 samples/sec | ETA 18:45:46 2021-08-23 01:58:15 [INFO] [TRAIN] epoch: 283, iter: 104940/160000, loss: 0.0484, lr: 0.000021, batch_cost: 1.2198, reader_cost: 0.00021, ips: 1.6396 samples/sec | ETA 18:39:23 2021-08-23 01:58:28 [INFO] [TRAIN] epoch: 283, iter: 104950/160000, loss: 0.0447, lr: 0.000021, batch_cost: 1.2343, reader_cost: 0.00023, ips: 1.6203 samples/sec | ETA 18:52:29 2021-08-23 01:58:40 [INFO] [TRAIN] epoch: 283, iter: 104960/160000, loss: 0.0485, lr: 0.000021, batch_cost: 1.2211, reader_cost: 0.00023, ips: 1.6379 samples/sec | ETA 18:40:08 2021-08-23 01:58:52 [INFO] [TRAIN] epoch: 283, iter: 104970/160000, loss: 0.0541, lr: 0.000021, batch_cost: 1.2348, reader_cost: 0.00021, ips: 1.6197 samples/sec | ETA 18:52:31 2021-08-23 01:59:05 [INFO] [TRAIN] epoch: 283, iter: 104980/160000, loss: 0.0542, lr: 0.000021, batch_cost: 1.2349, reader_cost: 0.00023, ips: 1.6196 samples/sec | ETA 18:52:22 2021-08-23 01:59:17 [INFO] [TRAIN] epoch: 283, iter: 104990/160000, loss: 0.0530, lr: 0.000021, batch_cost: 1.2226, reader_cost: 0.00022, ips: 1.6358 samples/sec | ETA 18:40:57 2021-08-23 01:59:29 [INFO] [TRAIN] epoch: 283, iter: 105000/160000, loss: 0.0490, lr: 0.000021, batch_cost: 1.2258, reader_cost: 0.00023, ips: 1.6316 samples/sec | ETA 18:43:39 2021-08-23 01:59:41 [INFO] [TRAIN] epoch: 283, iter: 105010/160000, loss: 0.0599, lr: 0.000021, batch_cost: 1.2129, reader_cost: 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loss: 0.0586, lr: 0.000021, batch_cost: 1.2284, reader_cost: 0.00021, ips: 1.6282 samples/sec | ETA 18:44:33 2021-08-23 02:01:07 [INFO] [TRAIN] epoch: 283, iter: 105080/160000, loss: 0.0555, lr: 0.000021, batch_cost: 1.2253, reader_cost: 0.00022, ips: 1.6322 samples/sec | ETA 18:41:36 2021-08-23 02:01:20 [INFO] [TRAIN] epoch: 283, iter: 105090/160000, loss: 0.0637, lr: 0.000021, batch_cost: 1.2408, reader_cost: 0.00022, ips: 1.6118 samples/sec | ETA 18:55:33 2021-08-23 02:01:32 [INFO] [TRAIN] epoch: 283, iter: 105100/160000, loss: 0.0543, lr: 0.000021, batch_cost: 1.2314, reader_cost: 0.00022, ips: 1.6241 samples/sec | ETA 18:46:44 2021-08-23 02:01:44 [INFO] [TRAIN] epoch: 283, iter: 105110/160000, loss: 0.0534, lr: 0.000021, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6340 samples/sec | ETA 18:39:46 2021-08-23 02:01:56 [INFO] [TRAIN] epoch: 283, iter: 105120/160000, loss: 0.0673, lr: 0.000021, batch_cost: 1.2146, reader_cost: 0.00023, ips: 1.6466 samples/sec | ETA 18:30:58 2021-08-23 02:02:08 [INFO] [TRAIN] epoch: 283, iter: 105130/160000, loss: 0.0547, lr: 0.000021, batch_cost: 1.2174, reader_cost: 0.00023, ips: 1.6428 samples/sec | ETA 18:33:21 2021-08-23 02:02:21 [INFO] [TRAIN] epoch: 283, iter: 105140/160000, loss: 0.0529, lr: 0.000021, batch_cost: 1.2301, reader_cost: 0.00023, ips: 1.6259 samples/sec | ETA 18:44:42 2021-08-23 02:02:33 [INFO] [TRAIN] epoch: 283, iter: 105150/160000, loss: 0.0606, lr: 0.000021, batch_cost: 1.2301, reader_cost: 0.00021, ips: 1.6259 samples/sec | ETA 18:44:30 2021-08-23 02:02:45 [INFO] [TRAIN] epoch: 283, iter: 105160/160000, loss: 0.0515, lr: 0.000021, batch_cost: 1.2198, reader_cost: 0.00022, ips: 1.6396 samples/sec | ETA 18:34:54 2021-08-23 02:02:58 [INFO] [TRAIN] epoch: 283, iter: 105170/160000, loss: 0.0572, lr: 0.000021, batch_cost: 1.2474, reader_cost: 0.00022, ips: 1.6033 samples/sec | ETA 18:59:54 2021-08-23 02:03:10 [INFO] [TRAIN] epoch: 283, iter: 105180/160000, loss: 0.0505, lr: 0.000021, batch_cost: 1.2295, 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18:54:47 2021-08-23 02:05:40 [INFO] [TRAIN] epoch: 284, iter: 105300/160000, loss: 0.0476, lr: 0.000021, batch_cost: 1.2349, reader_cost: 0.00022, ips: 1.6196 samples/sec | ETA 18:45:47 2021-08-23 02:05:53 [INFO] [TRAIN] epoch: 284, iter: 105310/160000, loss: 0.0530, lr: 0.000021, batch_cost: 1.2357, reader_cost: 0.00021, ips: 1.6185 samples/sec | ETA 18:46:22 2021-08-23 02:06:05 [INFO] [TRAIN] epoch: 284, iter: 105320/160000, loss: 0.0560, lr: 0.000021, batch_cost: 1.2182, reader_cost: 0.00022, ips: 1.6418 samples/sec | ETA 18:30:08 2021-08-23 02:06:17 [INFO] [TRAIN] epoch: 284, iter: 105330/160000, loss: 0.0569, lr: 0.000021, batch_cost: 1.2151, reader_cost: 0.00021, ips: 1.6460 samples/sec | ETA 18:27:09 2021-08-23 02:06:29 [INFO] [TRAIN] epoch: 284, iter: 105340/160000, loss: 0.0514, lr: 0.000020, batch_cost: 1.2300, reader_cost: 0.00022, ips: 1.6260 samples/sec | ETA 18:40:31 2021-08-23 02:06:41 [INFO] [TRAIN] epoch: 284, iter: 105350/160000, loss: 0.0507, lr: 0.000020, batch_cost: 1.2278, reader_cost: 0.00022, ips: 1.6289 samples/sec | ETA 18:38:20 2021-08-23 02:06:54 [INFO] [TRAIN] epoch: 284, iter: 105360/160000, loss: 0.0595, lr: 0.000020, batch_cost: 1.2191, reader_cost: 0.00021, ips: 1.6405 samples/sec | ETA 18:30:13 2021-08-23 02:07:06 [INFO] [TRAIN] epoch: 284, iter: 105370/160000, loss: 0.0574, lr: 0.000020, batch_cost: 1.2234, reader_cost: 0.00024, ips: 1.6348 samples/sec | ETA 18:33:55 2021-08-23 02:07:18 [INFO] [TRAIN] epoch: 284, iter: 105380/160000, loss: 0.0604, lr: 0.000020, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6404 samples/sec | ETA 18:29:52 2021-08-23 02:07:30 [INFO] [TRAIN] epoch: 284, iter: 105390/160000, loss: 0.0561, lr: 0.000020, batch_cost: 1.2321, reader_cost: 0.00020, ips: 1.6232 samples/sec | ETA 18:41:25 2021-08-23 02:07:43 [INFO] [TRAIN] epoch: 284, iter: 105400/160000, loss: 0.0472, lr: 0.000020, batch_cost: 1.2322, reader_cost: 0.00022, ips: 1.6231 samples/sec | ETA 18:41:19 2021-08-23 02:07:55 [INFO] [TRAIN] epoch: 284, iter: 105410/160000, loss: 0.0640, lr: 0.000020, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6391 samples/sec | ETA 18:30:08 2021-08-23 02:08:07 [INFO] [TRAIN] epoch: 284, iter: 105420/160000, loss: 0.0468, lr: 0.000020, batch_cost: 1.2385, reader_cost: 0.00021, ips: 1.6149 samples/sec | ETA 18:46:36 2021-08-23 02:08:20 [INFO] [TRAIN] epoch: 284, iter: 105430/160000, loss: 0.0583, lr: 0.000020, batch_cost: 1.2292, reader_cost: 0.00022, ips: 1.6271 samples/sec | ETA 18:37:58 2021-08-23 02:08:32 [INFO] [TRAIN] epoch: 284, iter: 105440/160000, loss: 0.0534, lr: 0.000020, batch_cost: 1.2477, reader_cost: 0.00022, ips: 1.6030 samples/sec | ETA 18:54:33 2021-08-23 02:08:45 [INFO] [TRAIN] epoch: 284, iter: 105450/160000, loss: 0.0599, lr: 0.000020, batch_cost: 1.2484, reader_cost: 0.00019, ips: 1.6021 samples/sec | ETA 18:54:58 2021-08-23 02:08:57 [INFO] [TRAIN] epoch: 284, iter: 105460/160000, loss: 0.0540, lr: 0.000020, batch_cost: 1.2053, reader_cost: 0.00021, ips: 1.6593 samples/sec | ETA 18:15:38 2021-08-23 02:09:09 [INFO] [TRAIN] epoch: 284, iter: 105470/160000, loss: 0.0645, lr: 0.000020, batch_cost: 1.2238, reader_cost: 0.00022, ips: 1.6342 samples/sec | ETA 18:32:16 2021-08-23 02:09:21 [INFO] [TRAIN] epoch: 284, iter: 105480/160000, loss: 0.0521, lr: 0.000020, batch_cost: 1.2229, reader_cost: 0.00021, ips: 1.6355 samples/sec | ETA 18:31:11 2021-08-23 02:09:34 [INFO] [TRAIN] epoch: 284, iter: 105490/160000, loss: 0.0604, lr: 0.000020, batch_cost: 1.2478, reader_cost: 0.00021, ips: 1.6028 samples/sec | ETA 18:53:39 2021-08-23 02:09:46 [INFO] [TRAIN] epoch: 284, iter: 105500/160000, loss: 0.0573, lr: 0.000020, batch_cost: 1.2282, reader_cost: 0.00019, ips: 1.6284 samples/sec | ETA 18:35:38 2021-08-23 02:09:58 [INFO] [TRAIN] epoch: 284, iter: 105510/160000, loss: 0.0583, lr: 0.000020, batch_cost: 1.2164, reader_cost: 0.00021, ips: 1.6441 samples/sec | ETA 18:24:43 2021-08-23 02:10:10 [INFO] [TRAIN] epoch: 284, iter: 105520/160000, loss: 0.0485, lr: 0.000020, batch_cost: 1.2139, reader_cost: 0.00022, ips: 1.6475 samples/sec | ETA 18:22:15 2021-08-23 02:10:22 [INFO] [TRAIN] epoch: 284, iter: 105530/160000, loss: 0.0581, lr: 0.000020, batch_cost: 1.2239, reader_cost: 0.00020, ips: 1.6341 samples/sec | ETA 18:31:05 2021-08-23 02:10:35 [INFO] [TRAIN] epoch: 284, iter: 105540/160000, loss: 0.0519, lr: 0.000020, batch_cost: 1.2512, reader_cost: 0.00023, ips: 1.5985 samples/sec | ETA 18:55:40 2021-08-23 02:10:47 [INFO] [TRAIN] epoch: 284, iter: 105550/160000, loss: 0.0507, lr: 0.000020, batch_cost: 1.2189, reader_cost: 0.00021, ips: 1.6409 samples/sec | ETA 18:26:07 2021-08-23 02:10:59 [INFO] [TRAIN] epoch: 284, iter: 105560/160000, loss: 0.0422, lr: 0.000020, batch_cost: 1.2360, reader_cost: 0.00022, ips: 1.6182 samples/sec | ETA 18:41:25 2021-08-23 02:11:12 [INFO] [TRAIN] epoch: 284, iter: 105570/160000, loss: 0.0513, lr: 0.000020, batch_cost: 1.2228, reader_cost: 0.00022, ips: 1.6356 samples/sec | ETA 18:29:17 2021-08-23 02:11:24 [INFO] [TRAIN] epoch: 284, iter: 105580/160000, loss: 0.0448, lr: 0.000020, batch_cost: 1.2350, reader_cost: 0.00024, ips: 1.6195 samples/sec | ETA 18:40:06 2021-08-23 02:11:36 [INFO] [TRAIN] epoch: 284, iter: 105590/160000, loss: 0.0635, lr: 0.000020, batch_cost: 1.2269, reader_cost: 0.00022, ips: 1.6301 samples/sec | ETA 18:32:37 2021-08-23 02:11:48 [INFO] [TRAIN] epoch: 284, iter: 105600/160000, loss: 0.0473, lr: 0.000020, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 18:24:44 2021-08-23 02:12:01 [INFO] [TRAIN] epoch: 284, iter: 105610/160000, loss: 0.0512, lr: 0.000020, batch_cost: 1.2102, reader_cost: 0.00020, ips: 1.6526 samples/sec | ETA 18:17:01 2021-08-23 02:12:13 [INFO] [TRAIN] epoch: 284, iter: 105620/160000, loss: 0.0559, lr: 0.000020, batch_cost: 1.2363, reader_cost: 0.00021, ips: 1.6177 samples/sec | ETA 18:40:30 2021-08-23 02:12:25 [INFO] [TRAIN] epoch: 284, iter: 105630/160000, loss: 0.0769, lr: 0.000020, batch_cost: 1.2093, reader_cost: 0.00021, ips: 1.6539 samples/sec | ETA 18:15:47 2021-08-23 02:12:37 [INFO] [TRAIN] epoch: 284, iter: 105640/160000, loss: 0.0703, lr: 0.000020, batch_cost: 1.2213, reader_cost: 0.00021, ips: 1.6376 samples/sec | ETA 18:26:28 2021-08-23 02:12:52 [INFO] [TRAIN] epoch: 285, iter: 105650/160000, loss: 0.0449, lr: 0.000020, batch_cost: 1.4632, reader_cost: 0.22087, ips: 1.3668 samples/sec | ETA 22:05:26 2021-08-23 02:13:04 [INFO] [TRAIN] epoch: 285, iter: 105660/160000, loss: 0.0598, lr: 0.000020, batch_cost: 1.2168, reader_cost: 0.00075, ips: 1.6436 samples/sec | ETA 18:22:02 2021-08-23 02:13:16 [INFO] [TRAIN] epoch: 285, iter: 105670/160000, loss: 0.0495, lr: 0.000020, batch_cost: 1.2345, reader_cost: 0.00024, ips: 1.6201 samples/sec | ETA 18:37:49 2021-08-23 02:13:29 [INFO] [TRAIN] epoch: 285, iter: 105680/160000, loss: 0.0564, lr: 0.000020, batch_cost: 1.2190, reader_cost: 0.00021, ips: 1.6407 samples/sec | ETA 18:23:33 2021-08-23 02:13:41 [INFO] [TRAIN] epoch: 285, iter: 105690/160000, loss: 0.0681, lr: 0.000020, batch_cost: 1.2202, reader_cost: 0.00021, ips: 1.6390 samples/sec | ETA 18:24:30 2021-08-23 02:13:53 [INFO] [TRAIN] epoch: 285, iter: 105700/160000, loss: 0.0551, lr: 0.000020, batch_cost: 1.2313, reader_cost: 0.00078, ips: 1.6243 samples/sec | ETA 18:34:19 2021-08-23 02:14:06 [INFO] [TRAIN] epoch: 285, iter: 105710/160000, loss: 0.0543, lr: 0.000020, batch_cost: 1.2412, reader_cost: 0.00022, ips: 1.6113 samples/sec | ETA 18:43:06 2021-08-23 02:14:18 [INFO] [TRAIN] epoch: 285, iter: 105720/160000, loss: 0.0528, lr: 0.000020, batch_cost: 1.2357, reader_cost: 0.00023, ips: 1.6185 samples/sec | ETA 18:37:53 2021-08-23 02:14:30 [INFO] [TRAIN] epoch: 285, iter: 105730/160000, loss: 0.0542, lr: 0.000020, batch_cost: 1.2403, reader_cost: 0.00022, ips: 1.6125 samples/sec | ETA 18:41:53 2021-08-23 02:14:42 [INFO] [TRAIN] epoch: 285, iter: 105740/160000, loss: 0.0563, lr: 0.000020, batch_cost: 1.2203, reader_cost: 0.00023, ips: 1.6390 samples/sec | ETA 18:23:31 2021-08-23 02:14:55 [INFO] [TRAIN] epoch: 285, iter: 105750/160000, loss: 0.0470, lr: 0.000020, batch_cost: 1.2282, reader_cost: 0.00022, ips: 1.6284 samples/sec | ETA 18:30:29 2021-08-23 02:15:07 [INFO] [TRAIN] epoch: 285, iter: 105760/160000, loss: 0.0540, lr: 0.000020, batch_cost: 1.2382, reader_cost: 0.00023, ips: 1.6152 samples/sec | ETA 18:39:20 2021-08-23 02:15:19 [INFO] [TRAIN] epoch: 285, iter: 105770/160000, loss: 0.0552, lr: 0.000020, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6289 samples/sec | ETA 18:29:46 2021-08-23 02:15:32 [INFO] [TRAIN] epoch: 285, iter: 105780/160000, loss: 0.0692, lr: 0.000020, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6224 samples/sec | ETA 18:34:01 2021-08-23 02:15:44 [INFO] [TRAIN] epoch: 285, iter: 105790/160000, loss: 0.0495, lr: 0.000020, batch_cost: 1.2262, reader_cost: 0.00024, ips: 1.6310 samples/sec | ETA 18:27:53 2021-08-23 02:15:56 [INFO] [TRAIN] epoch: 285, iter: 105800/160000, loss: 0.0508, lr: 0.000020, batch_cost: 1.2257, 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105860/160000, loss: 0.0486, lr: 0.000020, batch_cost: 1.2500, reader_cost: 0.00022, ips: 1.6001 samples/sec | ETA 18:47:52 2021-08-23 02:17:22 [INFO] [TRAIN] epoch: 285, iter: 105870/160000, loss: 0.0501, lr: 0.000020, batch_cost: 1.2296, reader_cost: 0.00022, ips: 1.6266 samples/sec | ETA 18:29:17 2021-08-23 02:17:35 [INFO] [TRAIN] epoch: 285, iter: 105880/160000, loss: 0.0610, lr: 0.000020, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6282 samples/sec | ETA 18:27:57 2021-08-23 02:17:47 [INFO] [TRAIN] epoch: 285, iter: 105890/160000, loss: 0.0533, lr: 0.000020, batch_cost: 1.2222, reader_cost: 0.00023, ips: 1.6364 samples/sec | ETA 18:22:11 2021-08-23 02:17:59 [INFO] [TRAIN] epoch: 285, iter: 105900/160000, loss: 0.0485, lr: 0.000020, batch_cost: 1.2336, reader_cost: 0.00022, ips: 1.6213 samples/sec | ETA 18:32:18 2021-08-23 02:18:12 [INFO] [TRAIN] epoch: 285, iter: 105910/160000, loss: 0.0573, lr: 0.000020, batch_cost: 1.2376, reader_cost: 0.00024, ips: 1.6161 samples/sec | ETA 18:35:40 2021-08-23 02:18:24 [INFO] [TRAIN] epoch: 285, iter: 105920/160000, loss: 0.0590, lr: 0.000020, batch_cost: 1.2285, reader_cost: 0.00022, ips: 1.6280 samples/sec | ETA 18:27:16 2021-08-23 02:18:36 [INFO] [TRAIN] epoch: 285, iter: 105930/160000, loss: 0.0512, lr: 0.000020, batch_cost: 1.2344, reader_cost: 0.00022, ips: 1.6203 samples/sec | ETA 18:32:21 2021-08-23 02:18:49 [INFO] [TRAIN] epoch: 285, iter: 105940/160000, loss: 0.0354, lr: 0.000020, batch_cost: 1.2329, reader_cost: 0.00022, ips: 1.6222 samples/sec | ETA 18:30:51 2021-08-23 02:19:01 [INFO] [TRAIN] epoch: 285, iter: 105950/160000, loss: 0.0474, lr: 0.000020, batch_cost: 1.2360, reader_cost: 0.00021, ips: 1.6181 samples/sec | ETA 18:33:26 2021-08-23 02:19:13 [INFO] [TRAIN] epoch: 285, iter: 105960/160000, loss: 0.0532, lr: 0.000020, batch_cost: 1.2458, reader_cost: 0.00021, ips: 1.6054 samples/sec | ETA 18:42:02 2021-08-23 02:19:26 [INFO] [TRAIN] epoch: 285, iter: 105970/160000, loss: 0.0578, lr: 0.000020, batch_cost: 1.2334, reader_cost: 0.00026, ips: 1.6215 samples/sec | ETA 18:30:41 2021-08-23 02:19:38 [INFO] [TRAIN] epoch: 285, iter: 105980/160000, loss: 0.0578, lr: 0.000020, batch_cost: 1.2262, reader_cost: 0.00028, ips: 1.6311 samples/sec | ETA 18:23:58 2021-08-23 02:19:50 [INFO] [TRAIN] epoch: 285, iter: 105990/160000, loss: 0.0478, lr: 0.000020, batch_cost: 1.2405, reader_cost: 0.00024, ips: 1.6123 samples/sec | ETA 18:36:36 2021-08-23 02:20:03 [INFO] [TRAIN] epoch: 285, iter: 106000/160000, loss: 0.0488, lr: 0.000020, batch_cost: 1.2343, reader_cost: 0.00022, ips: 1.6203 samples/sec | ETA 18:30:52 2021-08-23 02:20:15 [INFO] [TRAIN] epoch: 285, iter: 106010/160000, loss: 0.0517, lr: 0.000020, batch_cost: 1.2172, reader_cost: 0.00021, ips: 1.6432 samples/sec | ETA 18:15:14 2021-08-23 02:20:27 [INFO] [TRAIN] epoch: 285, iter: 106020/160000, loss: 0.0479, lr: 0.000020, batch_cost: 1.1822, reader_cost: 0.00016, ips: 1.6918 samples/sec | ETA 17:43:33 2021-08-23 02:20:42 [INFO] [TRAIN] epoch: 286, iter: 106030/160000, loss: 0.0561, lr: 0.000020, batch_cost: 1.5098, reader_cost: 0.21744, ips: 1.3247 samples/sec | ETA 22:38:04 2021-08-23 02:20:54 [INFO] [TRAIN] epoch: 286, iter: 106040/160000, loss: 0.0495, lr: 0.000020, batch_cost: 1.2238, reader_cost: 0.00077, ips: 1.6342 samples/sec | ETA 18:20:37 2021-08-23 02:21:06 [INFO] [TRAIN] epoch: 286, iter: 106050/160000, loss: 0.0752, lr: 0.000020, batch_cost: 1.2246, reader_cost: 0.00023, ips: 1.6332 samples/sec | ETA 18:21:07 2021-08-23 02:21:19 [INFO] [TRAIN] epoch: 286, iter: 106060/160000, loss: 0.0462, lr: 0.000020, batch_cost: 1.2206, reader_cost: 0.00021, ips: 1.6385 samples/sec | ETA 18:17:20 2021-08-23 02:21:31 [INFO] [TRAIN] epoch: 286, iter: 106070/160000, loss: 0.0595, lr: 0.000020, batch_cost: 1.2228, reader_cost: 0.00024, ips: 1.6356 samples/sec | ETA 18:19:03 2021-08-23 02:21:43 [INFO] [TRAIN] epoch: 286, iter: 106080/160000, loss: 0.0509, lr: 0.000020, batch_cost: 1.2224, reader_cost: 0.00024, ips: 1.6361 samples/sec | ETA 18:18:31 2021-08-23 02:21:55 [INFO] [TRAIN] epoch: 286, iter: 106090/160000, loss: 0.0605, lr: 0.000020, batch_cost: 1.2268, reader_cost: 0.00024, ips: 1.6302 samples/sec | ETA 18:22:18 2021-08-23 02:22:08 [INFO] [TRAIN] epoch: 286, iter: 106100/160000, loss: 0.0492, lr: 0.000020, batch_cost: 1.2330, reader_cost: 0.00021, ips: 1.6221 samples/sec | ETA 18:27:38 2021-08-23 02:22:20 [INFO] [TRAIN] epoch: 286, iter: 106110/160000, loss: 0.0578, lr: 0.000020, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6358 samples/sec | ETA 18:18:08 2021-08-23 02:22:32 [INFO] [TRAIN] epoch: 286, iter: 106120/160000, loss: 0.0633, lr: 0.000020, batch_cost: 1.2134, reader_cost: 0.00021, ips: 1.6483 samples/sec | ETA 18:09:38 2021-08-23 02:22:44 [INFO] [TRAIN] epoch: 286, iter: 106130/160000, loss: 0.0474, lr: 0.000020, batch_cost: 1.2268, reader_cost: 0.00021, ips: 1.6302 samples/sec | ETA 18:21:29 2021-08-23 02:22:56 [INFO] [TRAIN] epoch: 286, iter: 106140/160000, loss: 0.0552, lr: 0.000020, batch_cost: 1.2191, reader_cost: 0.00023, ips: 1.6406 samples/sec | ETA 18:14:18 2021-08-23 02:23:09 [INFO] [TRAIN] epoch: 286, iter: 106150/160000, loss: 0.0570, lr: 0.000020, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6223 samples/sec | ETA 18:26:26 2021-08-23 02:23:21 [INFO] [TRAIN] epoch: 286, iter: 106160/160000, loss: 0.0523, lr: 0.000020, batch_cost: 1.2219, reader_cost: 0.00023, ips: 1.6368 samples/sec | ETA 18:16:27 2021-08-23 02:23:33 [INFO] [TRAIN] epoch: 286, iter: 106170/160000, loss: 0.0513, lr: 0.000020, batch_cost: 1.2357, reader_cost: 0.00023, ips: 1.6185 samples/sec | ETA 18:28:39 2021-08-23 02:23:46 [INFO] [TRAIN] epoch: 286, iter: 106180/160000, loss: 0.0508, lr: 0.000020, batch_cost: 1.2344, reader_cost: 0.00021, ips: 1.6202 samples/sec | ETA 18:27:14 2021-08-23 02:23:58 [INFO] [TRAIN] epoch: 286, iter: 106190/160000, loss: 0.0488, lr: 0.000020, batch_cost: 1.2231, reader_cost: 0.00023, ips: 1.6351 samples/sec | ETA 18:16:57 2021-08-23 02:24:10 [INFO] [TRAIN] epoch: 286, iter: 106200/160000, loss: 0.0560, lr: 0.000020, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6384 samples/sec | ETA 18:14:35 2021-08-23 02:24:22 [INFO] [TRAIN] epoch: 286, iter: 106210/160000, loss: 0.0632, lr: 0.000020, batch_cost: 1.2203, reader_cost: 0.00022, ips: 1.6389 samples/sec | ETA 18:13:59 2021-08-23 02:24:35 [INFO] [TRAIN] epoch: 286, iter: 106220/160000, loss: 0.0596, lr: 0.000020, batch_cost: 1.2165, reader_cost: 0.00021, ips: 1.6440 samples/sec | ETA 18:10:24 2021-08-23 02:24:47 [INFO] [TRAIN] epoch: 286, iter: 106230/160000, loss: 0.0422, lr: 0.000020, batch_cost: 1.2389, reader_cost: 0.00021, ips: 1.6143 samples/sec | ETA 18:30:16 2021-08-23 02:24:59 [INFO] [TRAIN] epoch: 286, iter: 106240/160000, loss: 0.0546, lr: 0.000020, batch_cost: 1.2164, reader_cost: 0.00022, ips: 1.6441 samples/sec | ETA 18:09:56 2021-08-23 02:25:11 [INFO] [TRAIN] epoch: 286, iter: 106250/160000, loss: 0.0564, lr: 0.000020, batch_cost: 1.2267, reader_cost: 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loss: 0.0547, lr: 0.000020, batch_cost: 1.2158, reader_cost: 0.00021, ips: 1.6450 samples/sec | ETA 18:07:55 2021-08-23 02:26:37 [INFO] [TRAIN] epoch: 286, iter: 106320/160000, loss: 0.0538, lr: 0.000020, batch_cost: 1.2163, reader_cost: 0.00024, ips: 1.6443 samples/sec | ETA 18:08:10 2021-08-23 02:26:49 [INFO] [TRAIN] epoch: 286, iter: 106330/160000, loss: 0.0494, lr: 0.000020, batch_cost: 1.2183, reader_cost: 0.00022, ips: 1.6416 samples/sec | ETA 18:09:46 2021-08-23 02:27:01 [INFO] [TRAIN] epoch: 286, iter: 106340/160000, loss: 0.0602, lr: 0.000020, batch_cost: 1.2177, reader_cost: 0.00022, ips: 1.6425 samples/sec | ETA 18:09:01 2021-08-23 02:27:14 [INFO] [TRAIN] epoch: 286, iter: 106350/160000, loss: 0.0591, lr: 0.000020, batch_cost: 1.2307, reader_cost: 0.00022, ips: 1.6251 samples/sec | ETA 18:20:26 2021-08-23 02:27:26 [INFO] [TRAIN] epoch: 286, iter: 106360/160000, loss: 0.0579, lr: 0.000020, batch_cost: 1.2316, reader_cost: 0.00021, ips: 1.6239 samples/sec | ETA 18:21:02 2021-08-23 02:27:38 [INFO] [TRAIN] epoch: 286, iter: 106370/160000, loss: 0.0688, lr: 0.000020, batch_cost: 1.2266, reader_cost: 0.00020, ips: 1.6306 samples/sec | ETA 18:16:20 2021-08-23 02:27:50 [INFO] [TRAIN] epoch: 286, iter: 106380/160000, loss: 0.0567, lr: 0.000020, batch_cost: 1.2209, reader_cost: 0.00022, ips: 1.6382 samples/sec | ETA 18:11:03 2021-08-23 02:28:02 [INFO] [TRAIN] epoch: 286, iter: 106390/160000, loss: 0.0482, lr: 0.000020, batch_cost: 1.1906, reader_cost: 0.00015, ips: 1.6799 samples/sec | ETA 17:43:46 2021-08-23 02:28:17 [INFO] [TRAIN] epoch: 287, iter: 106400/160000, loss: 0.0471, lr: 0.000020, batch_cost: 1.4959, reader_cost: 0.21657, ips: 1.3370 samples/sec | ETA 22:16:20 2021-08-23 02:28:30 [INFO] [TRAIN] epoch: 287, iter: 106410/160000, loss: 0.0486, lr: 0.000020, batch_cost: 1.2316, reader_cost: 0.00088, ips: 1.6239 samples/sec | ETA 18:19:59 2021-08-23 02:28:42 [INFO] [TRAIN] epoch: 287, iter: 106420/160000, loss: 0.0650, lr: 0.000020, batch_cost: 1.2200, 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106480/160000, loss: 0.0518, lr: 0.000020, batch_cost: 1.2196, reader_cost: 0.00021, ips: 1.6399 samples/sec | ETA 18:07:50 2021-08-23 02:30:08 [INFO] [TRAIN] epoch: 287, iter: 106490/160000, loss: 0.0607, lr: 0.000020, batch_cost: 1.2323, reader_cost: 0.00022, ips: 1.6230 samples/sec | ETA 18:18:59 2021-08-23 02:30:20 [INFO] [TRAIN] epoch: 287, iter: 106500/160000, loss: 0.0468, lr: 0.000020, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6373 samples/sec | ETA 18:09:11 2021-08-23 02:30:32 [INFO] [TRAIN] epoch: 287, iter: 106510/160000, loss: 0.0687, lr: 0.000020, batch_cost: 1.2257, reader_cost: 0.00023, ips: 1.6317 samples/sec | ETA 18:12:43 2021-08-23 02:30:45 [INFO] [TRAIN] epoch: 287, iter: 106520/160000, loss: 0.0510, lr: 0.000020, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6389 samples/sec | ETA 18:07:43 2021-08-23 02:30:57 [INFO] [TRAIN] epoch: 287, iter: 106530/160000, loss: 0.0559, lr: 0.000020, batch_cost: 1.2314, reader_cost: 0.00021, ips: 1.6241 samples/sec | ETA 18:17:24 2021-08-23 02:31:09 [INFO] [TRAIN] epoch: 287, iter: 106540/160000, loss: 0.0474, lr: 0.000020, batch_cost: 1.2265, reader_cost: 0.00022, ips: 1.6307 samples/sec | ETA 18:12:48 2021-08-23 02:31:21 [INFO] [TRAIN] epoch: 287, iter: 106550/160000, loss: 0.0737, lr: 0.000020, batch_cost: 1.2267, reader_cost: 0.00021, ips: 1.6304 samples/sec | ETA 18:12:47 2021-08-23 02:31:34 [INFO] [TRAIN] epoch: 287, iter: 106560/160000, loss: 0.0523, lr: 0.000020, batch_cost: 1.2152, reader_cost: 0.00020, ips: 1.6459 samples/sec | ETA 18:02:17 2021-08-23 02:31:46 [INFO] [TRAIN] epoch: 287, iter: 106570/160000, loss: 0.0497, lr: 0.000020, batch_cost: 1.2393, reader_cost: 0.00025, ips: 1.6138 samples/sec | ETA 18:23:35 2021-08-23 02:31:58 [INFO] [TRAIN] epoch: 287, iter: 106580/160000, loss: 0.0458, lr: 0.000020, batch_cost: 1.2428, reader_cost: 0.00024, ips: 1.6093 samples/sec | ETA 18:26:30 2021-08-23 02:32:11 [INFO] [TRAIN] epoch: 287, iter: 106590/160000, loss: 0.0544, lr: 0.000020, batch_cost: 1.2264, reader_cost: 0.00023, ips: 1.6308 samples/sec | ETA 18:11:39 2021-08-23 02:32:23 [INFO] [TRAIN] epoch: 287, iter: 106600/160000, loss: 0.0498, lr: 0.000020, batch_cost: 1.2164, reader_cost: 0.00022, ips: 1.6443 samples/sec | ETA 18:02:33 2021-08-23 02:32:35 [INFO] [TRAIN] epoch: 287, iter: 106610/160000, loss: 0.0589, lr: 0.000020, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6359 samples/sec | ETA 18:07:52 2021-08-23 02:32:47 [INFO] [TRAIN] epoch: 287, iter: 106620/160000, loss: 0.0487, lr: 0.000020, batch_cost: 1.2235, reader_cost: 0.00023, ips: 1.6347 samples/sec | ETA 18:08:27 2021-08-23 02:33:00 [INFO] [TRAIN] epoch: 287, iter: 106630/160000, loss: 0.0619, lr: 0.000020, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6332 samples/sec | ETA 18:09:14 2021-08-23 02:33:12 [INFO] [TRAIN] epoch: 287, iter: 106640/160000, loss: 0.0662, lr: 0.000020, batch_cost: 1.2174, reader_cost: 0.00023, ips: 1.6428 samples/sec | ETA 18:02:41 2021-08-23 02:33:24 [INFO] [TRAIN] epoch: 287, iter: 106650/160000, loss: 0.0532, lr: 0.000020, batch_cost: 1.2387, reader_cost: 0.00023, ips: 1.6146 samples/sec | ETA 18:21:22 2021-08-23 02:33:36 [INFO] [TRAIN] epoch: 287, iter: 106660/160000, loss: 0.0580, lr: 0.000020, batch_cost: 1.2239, reader_cost: 0.00022, ips: 1.6341 samples/sec | ETA 18:08:02 2021-08-23 02:33:49 [INFO] [TRAIN] epoch: 287, iter: 106670/160000, loss: 0.0583, lr: 0.000020, batch_cost: 1.2323, reader_cost: 0.00022, ips: 1.6230 samples/sec | ETA 18:15:19 2021-08-23 02:34:01 [INFO] [TRAIN] epoch: 287, iter: 106680/160000, loss: 0.0501, lr: 0.000020, batch_cost: 1.2278, reader_cost: 0.00023, ips: 1.6289 samples/sec | ETA 18:11:07 2021-08-23 02:34:13 [INFO] [TRAIN] epoch: 287, iter: 106690/160000, loss: 0.0543, lr: 0.000020, batch_cost: 1.2233, reader_cost: 0.00021, ips: 1.6350 samples/sec | ETA 18:06:51 2021-08-23 02:34:25 [INFO] [TRAIN] epoch: 287, iter: 106700/160000, loss: 0.0648, lr: 0.000020, batch_cost: 1.2113, reader_cost: 0.00022, ips: 1.6511 samples/sec | ETA 17:56:04 2021-08-23 02:34:37 [INFO] [TRAIN] epoch: 287, iter: 106710/160000, loss: 0.0422, lr: 0.000020, batch_cost: 1.2156, reader_cost: 0.00021, ips: 1.6453 samples/sec | ETA 17:59:38 2021-08-23 02:34:50 [INFO] [TRAIN] epoch: 287, iter: 106720/160000, loss: 0.0525, lr: 0.000020, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6345 samples/sec | ETA 18:06:35 2021-08-23 02:35:02 [INFO] [TRAIN] epoch: 287, iter: 106730/160000, loss: 0.0473, lr: 0.000020, batch_cost: 1.2338, reader_cost: 0.00021, ips: 1.6210 samples/sec | ETA 18:15:25 2021-08-23 02:35:14 [INFO] [TRAIN] epoch: 287, iter: 106740/160000, loss: 0.0626, lr: 0.000020, batch_cost: 1.2329, reader_cost: 0.00021, ips: 1.6222 samples/sec | ETA 18:14:24 2021-08-23 02:35:27 [INFO] [TRAIN] epoch: 287, iter: 106750/160000, loss: 0.0536, lr: 0.000020, batch_cost: 1.2302, reader_cost: 0.00023, ips: 1.6258 samples/sec | ETA 18:11:45 2021-08-23 02:35:38 [INFO] [TRAIN] epoch: 287, iter: 106760/160000, loss: 0.0586, lr: 0.000020, batch_cost: 1.1845, reader_cost: 0.00018, ips: 1.6884 samples/sec | ETA 17:31:04 2021-08-23 02:35:53 [INFO] [TRAIN] epoch: 288, iter: 106770/160000, loss: 0.0507, lr: 0.000020, batch_cost: 1.4856, reader_cost: 0.24244, ips: 1.3463 samples/sec | ETA 21:57:57 2021-08-23 02:36:06 [INFO] [TRAIN] epoch: 288, iter: 106780/160000, loss: 0.0504, lr: 0.000020, batch_cost: 1.2202, reader_cost: 0.00079, ips: 1.6390 samples/sec | ETA 18:02:20 2021-08-23 02:36:18 [INFO] [TRAIN] epoch: 288, iter: 106790/160000, loss: 0.0571, lr: 0.000020, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6389 samples/sec | ETA 18:02:13 2021-08-23 02:36:30 [INFO] [TRAIN] epoch: 288, iter: 106800/160000, loss: 0.0479, lr: 0.000020, batch_cost: 1.2259, reader_cost: 0.00023, ips: 1.6315 samples/sec | ETA 18:06:57 2021-08-23 02:36:42 [INFO] [TRAIN] epoch: 288, iter: 106810/160000, loss: 0.0589, lr: 0.000020, batch_cost: 1.2322, reader_cost: 0.00021, ips: 1.6231 samples/sec | ETA 18:12:20 2021-08-23 02:36:55 [INFO] [TRAIN] epoch: 288, iter: 106820/160000, loss: 0.0505, lr: 0.000020, batch_cost: 1.2471, reader_cost: 0.00022, ips: 1.6038 samples/sec | ETA 18:25:18 2021-08-23 02:37:07 [INFO] [TRAIN] epoch: 288, iter: 106830/160000, loss: 0.0432, lr: 0.000020, batch_cost: 1.2413, reader_cost: 0.00022, ips: 1.6113 samples/sec | ETA 18:19:58 2021-08-23 02:37:20 [INFO] [TRAIN] epoch: 288, iter: 106840/160000, loss: 0.0434, lr: 0.000020, batch_cost: 1.2462, reader_cost: 0.00024, ips: 1.6049 samples/sec | ETA 18:24:07 2021-08-23 02:37:32 [INFO] [TRAIN] epoch: 288, iter: 106850/160000, loss: 0.0627, lr: 0.000020, batch_cost: 1.2298, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 18:09:25 2021-08-23 02:37:44 [INFO] [TRAIN] epoch: 288, iter: 106860/160000, loss: 0.0437, lr: 0.000020, batch_cost: 1.2258, reader_cost: 0.00022, ips: 1.6316 samples/sec | ETA 18:05:39 2021-08-23 02:37:56 [INFO] [TRAIN] epoch: 288, iter: 106870/160000, loss: 0.0618, lr: 0.000020, batch_cost: 1.2198, reader_cost: 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loss: 0.0627, lr: 0.000020, batch_cost: 1.2250, reader_cost: 0.00021, ips: 1.6327 samples/sec | ETA 18:03:29 2021-08-23 02:39:22 [INFO] [TRAIN] epoch: 288, iter: 106940/160000, loss: 0.0556, lr: 0.000020, batch_cost: 1.2410, reader_cost: 0.00023, ips: 1.6117 samples/sec | ETA 18:17:25 2021-08-23 02:39:35 [INFO] [TRAIN] epoch: 288, iter: 106950/160000, loss: 0.0445, lr: 0.000020, batch_cost: 1.2327, reader_cost: 0.00022, ips: 1.6224 samples/sec | ETA 18:09:57 2021-08-23 02:39:47 [INFO] [TRAIN] epoch: 288, iter: 106960/160000, loss: 0.0494, lr: 0.000020, batch_cost: 1.2276, reader_cost: 0.00022, ips: 1.6292 samples/sec | ETA 18:05:10 2021-08-23 02:39:59 [INFO] [TRAIN] epoch: 288, iter: 106970/160000, loss: 0.0629, lr: 0.000020, batch_cost: 1.2382, reader_cost: 0.00019, ips: 1.6153 samples/sec | ETA 18:14:19 2021-08-23 02:40:12 [INFO] [TRAIN] epoch: 288, iter: 106980/160000, loss: 0.0495, lr: 0.000020, batch_cost: 1.2274, reader_cost: 0.00078, ips: 1.6294 samples/sec | ETA 18:04:38 2021-08-23 02:40:24 [INFO] [TRAIN] epoch: 288, iter: 106990/160000, loss: 0.0550, lr: 0.000020, batch_cost: 1.2223, reader_cost: 0.00021, ips: 1.6362 samples/sec | ETA 17:59:56 2021-08-23 02:40:36 [INFO] [TRAIN] epoch: 288, iter: 107000/160000, loss: 0.0461, lr: 0.000020, batch_cost: 1.2189, reader_cost: 0.00022, ips: 1.6408 samples/sec | ETA 17:56:44 2021-08-23 02:40:48 [INFO] [TRAIN] epoch: 288, iter: 107010/160000, loss: 0.0574, lr: 0.000020, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6351 samples/sec | ETA 18:00:16 2021-08-23 02:41:01 [INFO] [TRAIN] epoch: 288, iter: 107020/160000, loss: 0.0602, lr: 0.000020, batch_cost: 1.2104, reader_cost: 0.00021, ips: 1.6524 samples/sec | ETA 17:48:45 2021-08-23 02:41:13 [INFO] [TRAIN] epoch: 288, iter: 107030/160000, loss: 0.0486, lr: 0.000020, batch_cost: 1.2189, reader_cost: 0.00021, ips: 1.6409 samples/sec | ETA 17:56:03 2021-08-23 02:41:25 [INFO] [TRAIN] epoch: 288, iter: 107040/160000, loss: 0.0626, lr: 0.000020, batch_cost: 1.2228, reader_cost: 0.00024, ips: 1.6355 samples/sec | ETA 17:59:21 2021-08-23 02:41:37 [INFO] [TRAIN] epoch: 288, iter: 107050/160000, loss: 0.0524, lr: 0.000020, batch_cost: 1.2235, reader_cost: 0.00023, ips: 1.6346 samples/sec | ETA 17:59:45 2021-08-23 02:41:49 [INFO] [TRAIN] epoch: 288, iter: 107060/160000, loss: 0.0511, lr: 0.000020, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6405 samples/sec | ETA 17:55:41 2021-08-23 02:42:02 [INFO] [TRAIN] epoch: 288, iter: 107070/160000, loss: 0.0452, lr: 0.000020, batch_cost: 1.2401, reader_cost: 0.00022, ips: 1.6128 samples/sec | ETA 18:13:58 2021-08-23 02:42:14 [INFO] [TRAIN] epoch: 288, iter: 107080/160000, loss: 0.0531, lr: 0.000020, batch_cost: 1.2259, reader_cost: 0.00021, ips: 1.6315 samples/sec | ETA 18:01:12 2021-08-23 02:42:26 [INFO] [TRAIN] epoch: 288, iter: 107090/160000, loss: 0.0510, lr: 0.000020, batch_cost: 1.2471, reader_cost: 0.00021, ips: 1.6037 samples/sec | ETA 18:19:46 2021-08-23 02:42:39 [INFO] [TRAIN] epoch: 288, iter: 107100/160000, loss: 0.0643, lr: 0.000020, batch_cost: 1.2532, reader_cost: 0.00019, ips: 1.5960 samples/sec | ETA 18:24:51 2021-08-23 02:42:51 [INFO] [TRAIN] epoch: 288, iter: 107110/160000, loss: 0.0605, lr: 0.000020, batch_cost: 1.2173, reader_cost: 0.00020, ips: 1.6430 samples/sec | ETA 17:53:03 2021-08-23 02:43:03 [INFO] [TRAIN] epoch: 288, iter: 107120/160000, loss: 0.0546, lr: 0.000020, batch_cost: 1.2236, reader_cost: 0.00019, ips: 1.6345 samples/sec | ETA 17:58:24 2021-08-23 02:43:16 [INFO] [TRAIN] epoch: 288, iter: 107130/160000, loss: 0.0669, lr: 0.000020, batch_cost: 1.2082, reader_cost: 0.00016, ips: 1.6553 samples/sec | ETA 17:44:38 2021-08-23 02:43:30 [INFO] [TRAIN] epoch: 289, iter: 107140/160000, loss: 0.0534, lr: 0.000020, batch_cost: 1.4471, reader_cost: 0.21041, ips: 1.3821 samples/sec | ETA 21:14:51 2021-08-23 02:43:42 [INFO] [TRAIN] epoch: 289, iter: 107150/160000, loss: 0.0451, lr: 0.000020, batch_cost: 1.2308, reader_cost: 0.00115, ips: 1.6250 samples/sec | ETA 18:04:06 2021-08-23 02:43:54 [INFO] [TRAIN] epoch: 289, iter: 107160/160000, loss: 0.0624, lr: 0.000020, batch_cost: 1.2147, reader_cost: 0.00022, ips: 1.6465 samples/sec | ETA 17:49:45 2021-08-23 02:44:07 [INFO] [TRAIN] epoch: 289, iter: 107170/160000, loss: 0.0514, lr: 0.000020, batch_cost: 1.2225, reader_cost: 0.00021, ips: 1.6361 samples/sec | ETA 17:56:22 2021-08-23 02:44:19 [INFO] [TRAIN] epoch: 289, iter: 107180/160000, loss: 0.0455, lr: 0.000020, batch_cost: 1.2347, reader_cost: 0.00024, ips: 1.6199 samples/sec | ETA 18:06:54 2021-08-23 02:44:31 [INFO] [TRAIN] epoch: 289, iter: 107190/160000, loss: 0.0566, lr: 0.000020, batch_cost: 1.2180, reader_cost: 0.00022, ips: 1.6421 samples/sec | ETA 17:52:01 2021-08-23 02:44:43 [INFO] [TRAIN] epoch: 289, iter: 107200/160000, loss: 0.0559, lr: 0.000020, batch_cost: 1.2271, reader_cost: 0.00021, ips: 1.6298 samples/sec | ETA 17:59:52 2021-08-23 02:44:56 [INFO] [TRAIN] epoch: 289, iter: 107210/160000, loss: 0.0474, lr: 0.000020, batch_cost: 1.2267, reader_cost: 0.00023, ips: 1.6304 samples/sec | ETA 17:59:16 2021-08-23 02:45:08 [INFO] [TRAIN] epoch: 289, iter: 107220/160000, loss: 0.0515, lr: 0.000020, batch_cost: 1.2276, reader_cost: 0.00023, ips: 1.6292 samples/sec | ETA 17:59:53 2021-08-23 02:45:20 [INFO] [TRAIN] epoch: 289, iter: 107230/160000, loss: 0.0586, lr: 0.000020, batch_cost: 1.2309, reader_cost: 0.00023, ips: 1.6248 samples/sec | ETA 18:02:35 2021-08-23 02:45:33 [INFO] [TRAIN] epoch: 289, iter: 107240/160000, loss: 0.0523, lr: 0.000020, batch_cost: 1.2299, reader_cost: 0.00023, ips: 1.6262 samples/sec | ETA 18:01:27 2021-08-23 02:45:45 [INFO] [TRAIN] epoch: 289, iter: 107250/160000, loss: 0.0522, lr: 0.000020, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6340 samples/sec | ETA 17:56:05 2021-08-23 02:45:57 [INFO] [TRAIN] epoch: 289, iter: 107260/160000, loss: 0.0555, lr: 0.000020, batch_cost: 1.2194, reader_cost: 0.00077, ips: 1.6402 samples/sec | ETA 17:51:51 2021-08-23 02:46:09 [INFO] [TRAIN] epoch: 289, iter: 107270/160000, loss: 0.0615, lr: 0.000020, batch_cost: 1.2174, reader_cost: 0.00022, ips: 1.6428 samples/sec | ETA 17:49:55 2021-08-23 02:46:21 [INFO] [TRAIN] epoch: 289, iter: 107280/160000, loss: 0.0526, lr: 0.000020, batch_cost: 1.2136, reader_cost: 0.00020, ips: 1.6480 samples/sec | ETA 17:46:20 2021-08-23 02:46:34 [INFO] [TRAIN] epoch: 289, iter: 107290/160000, loss: 0.0585, lr: 0.000020, batch_cost: 1.2410, reader_cost: 0.00023, ips: 1.6116 samples/sec | ETA 18:10:12 2021-08-23 02:46:46 [INFO] [TRAIN] epoch: 289, iter: 107300/160000, loss: 0.0601, lr: 0.000020, batch_cost: 1.2505, reader_cost: 0.00024, ips: 1.5994 samples/sec | ETA 18:18:21 2021-08-23 02:46:59 [INFO] [TRAIN] epoch: 289, iter: 107310/160000, loss: 0.0456, lr: 0.000020, batch_cost: 1.2352, reader_cost: 0.00023, ips: 1.6192 samples/sec | ETA 18:04:42 2021-08-23 02:47:11 [INFO] [TRAIN] epoch: 289, iter: 107320/160000, loss: 0.0580, lr: 0.000020, batch_cost: 1.2282, reader_cost: 0.00021, ips: 1.6284 samples/sec | ETA 17:58:20 2021-08-23 02:47:23 [INFO] [TRAIN] epoch: 289, iter: 107330/160000, loss: 0.0517, lr: 0.000020, batch_cost: 1.2343, reader_cost: 0.00023, ips: 1.6204 samples/sec | ETA 18:03:29 2021-08-23 02:47:35 [INFO] [TRAIN] epoch: 289, iter: 107340/160000, loss: 0.0626, lr: 0.000020, batch_cost: 1.2185, reader_cost: 0.00021, ips: 1.6414 samples/sec | ETA 17:49:25 2021-08-23 02:47:48 [INFO] [TRAIN] epoch: 289, iter: 107350/160000, loss: 0.0485, lr: 0.000020, batch_cost: 1.2320, reader_cost: 0.00022, ips: 1.6233 samples/sec | ETA 18:01:07 2021-08-23 02:48:00 [INFO] [TRAIN] epoch: 289, iter: 107360/160000, loss: 0.0479, lr: 0.000020, batch_cost: 1.2173, reader_cost: 0.00021, ips: 1.6429 samples/sec | ETA 17:48:00 2021-08-23 02:48:12 [INFO] [TRAIN] epoch: 289, iter: 107370/160000, loss: 0.0449, lr: 0.000020, batch_cost: 1.2268, reader_cost: 0.00020, ips: 1.6303 samples/sec | ETA 17:56:04 2021-08-23 02:48:24 [INFO] [TRAIN] epoch: 289, iter: 107380/160000, loss: 0.0545, lr: 0.000020, batch_cost: 1.2115, reader_cost: 0.00022, ips: 1.6508 samples/sec | ETA 17:42:31 2021-08-23 02:48:37 [INFO] [TRAIN] epoch: 289, iter: 107390/160000, loss: 0.0508, lr: 0.000020, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6346 samples/sec | ETA 17:52:51 2021-08-23 02:48:49 [INFO] [TRAIN] epoch: 289, iter: 107400/160000, loss: 0.0558, lr: 0.000020, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6325 samples/sec | ETA 17:54:00 2021-08-23 02:49:01 [INFO] [TRAIN] epoch: 289, iter: 107410/160000, loss: 0.0609, lr: 0.000020, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6363 samples/sec | ETA 17:51:17 2021-08-23 02:49:13 [INFO] [TRAIN] epoch: 289, iter: 107420/160000, loss: 0.0567, lr: 0.000020, batch_cost: 1.2292, reader_cost: 0.00022, ips: 1.6270 samples/sec | ETA 17:57:12 2021-08-23 02:49:26 [INFO] [TRAIN] epoch: 289, iter: 107430/160000, loss: 0.0419, lr: 0.000020, batch_cost: 1.2412, reader_cost: 0.00025, ips: 1.6114 samples/sec | ETA 18:07:28 2021-08-23 02:49:38 [INFO] [TRAIN] epoch: 289, iter: 107440/160000, loss: 0.0456, lr: 0.000020, batch_cost: 1.2274, reader_cost: 0.00025, ips: 1.6294 samples/sec | ETA 17:55:13 2021-08-23 02:49:50 [INFO] [TRAIN] epoch: 289, iter: 107450/160000, loss: 0.0593, lr: 0.000020, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6389 samples/sec | ETA 17:48:49 2021-08-23 02:50:02 [INFO] [TRAIN] epoch: 289, iter: 107460/160000, loss: 0.0486, lr: 0.000020, batch_cost: 1.2172, reader_cost: 0.00020, ips: 1.6432 samples/sec | ETA 17:45:49 2021-08-23 02:50:15 [INFO] [TRAIN] epoch: 289, iter: 107470/160000, loss: 0.0510, lr: 0.000020, batch_cost: 1.2194, reader_cost: 0.00023, ips: 1.6402 samples/sec | ETA 17:47:32 2021-08-23 02:50:27 [INFO] [TRAIN] epoch: 289, iter: 107480/160000, loss: 0.0457, lr: 0.000020, batch_cost: 1.2226, reader_cost: 0.00022, ips: 1.6359 samples/sec | ETA 17:50:09 2021-08-23 02:50:39 [INFO] [TRAIN] epoch: 289, iter: 107490/160000, loss: 0.0538, lr: 0.000020, batch_cost: 1.2251, reader_cost: 0.00021, ips: 1.6326 samples/sec | ETA 17:52:08 2021-08-23 02:50:51 [INFO] [TRAIN] epoch: 289, iter: 107500/160000, loss: 0.0489, lr: 0.000020, batch_cost: 1.2168, reader_cost: 0.00020, ips: 1.6436 samples/sec | ETA 17:44:44 2021-08-23 02:51:06 [INFO] [TRAIN] epoch: 290, iter: 107510/160000, loss: 0.0587, lr: 0.000020, batch_cost: 1.4871, reader_cost: 0.22463, ips: 1.3449 samples/sec | ETA 21:40:56 2021-08-23 02:51:18 [INFO] [TRAIN] epoch: 290, iter: 107520/160000, loss: 0.0529, lr: 0.000020, batch_cost: 1.2325, reader_cost: 0.00084, ips: 1.6227 samples/sec | ETA 17:58:01 2021-08-23 02:51:31 [INFO] [TRAIN] epoch: 290, iter: 107530/160000, loss: 0.0522, lr: 0.000020, batch_cost: 1.2393, reader_cost: 0.00022, ips: 1.6138 samples/sec | ETA 18:03:45 2021-08-23 02:51:43 [INFO] [TRAIN] epoch: 290, iter: 107540/160000, loss: 0.0576, lr: 0.000020, batch_cost: 1.2259, reader_cost: 0.00023, ips: 1.6315 samples/sec | ETA 17:51:50 2021-08-23 02:51:55 [INFO] [TRAIN] epoch: 290, iter: 107550/160000, loss: 0.0469, lr: 0.000020, batch_cost: 1.2103, reader_cost: 0.00023, ips: 1.6525 samples/sec | ETA 17:38:00 2021-08-23 02:52:07 [INFO] [TRAIN] epoch: 290, iter: 107560/160000, loss: 0.0652, lr: 0.000020, batch_cost: 1.2292, reader_cost: 0.00022, ips: 1.6271 samples/sec | ETA 17:54:16 2021-08-23 02:52:20 [INFO] [TRAIN] epoch: 290, iter: 107570/160000, loss: 0.0540, lr: 0.000020, batch_cost: 1.2324, reader_cost: 0.00022, ips: 1.6228 samples/sec | ETA 17:56:55 2021-08-23 02:52:32 [INFO] [TRAIN] epoch: 290, iter: 107580/160000, loss: 0.0471, lr: 0.000020, batch_cost: 1.2237, reader_cost: 0.00024, ips: 1.6344 samples/sec | ETA 17:49:07 2021-08-23 02:52:44 [INFO] [TRAIN] epoch: 290, iter: 107590/160000, loss: 0.0533, lr: 0.000020, batch_cost: 1.2407, reader_cost: 0.00021, ips: 1.6119 samples/sec | ETA 18:03:46 2021-08-23 02:52:57 [INFO] [TRAIN] epoch: 290, iter: 107600/160000, loss: 0.0539, lr: 0.000020, batch_cost: 1.2305, reader_cost: 0.00021, ips: 1.6253 samples/sec | ETA 17:54:39 2021-08-23 02:53:09 [INFO] [TRAIN] epoch: 290, iter: 107610/160000, loss: 0.0664, lr: 0.000020, batch_cost: 1.2284, reader_cost: 0.00021, ips: 1.6281 samples/sec | ETA 17:52:37 2021-08-23 02:53:21 [INFO] [TRAIN] epoch: 290, iter: 107620/160000, loss: 0.0519, lr: 0.000020, batch_cost: 1.2422, reader_cost: 0.00021, ips: 1.6101 samples/sec | ETA 18:04:25 2021-08-23 02:53:34 [INFO] [TRAIN] epoch: 290, iter: 107630/160000, loss: 0.0601, lr: 0.000020, batch_cost: 1.2336, reader_cost: 0.00028, ips: 1.6213 samples/sec | ETA 17:56:43 2021-08-23 02:53:46 [INFO] [TRAIN] epoch: 290, iter: 107640/160000, loss: 0.0517, lr: 0.000020, batch_cost: 1.2444, reader_cost: 0.00024, ips: 1.6072 samples/sec | ETA 18:05:56 2021-08-23 02:53:59 [INFO] [TRAIN] epoch: 290, iter: 107650/160000, loss: 0.0515, lr: 0.000020, batch_cost: 1.2297, reader_cost: 0.00023, ips: 1.6265 samples/sec | ETA 17:52:52 2021-08-23 02:54:11 [INFO] [TRAIN] epoch: 290, iter: 107660/160000, loss: 0.0431, lr: 0.000020, batch_cost: 1.2291, reader_cost: 0.00022, ips: 1.6272 samples/sec | ETA 17:52:09 2021-08-23 02:54:23 [INFO] [TRAIN] epoch: 290, iter: 107670/160000, loss: 0.0524, lr: 0.000020, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6373 samples/sec | ETA 17:45:22 2021-08-23 02:54:35 [INFO] [TRAIN] epoch: 290, iter: 107680/160000, loss: 0.0579, lr: 0.000020, batch_cost: 1.2345, reader_cost: 0.00021, ips: 1.6200 samples/sec | ETA 17:56:31 2021-08-23 02:54:48 [INFO] [TRAIN] epoch: 290, iter: 107690/160000, loss: 0.0498, lr: 0.000020, batch_cost: 1.2153, reader_cost: 0.00023, ips: 1.6457 samples/sec | ETA 17:39:31 2021-08-23 02:55:00 [INFO] [TRAIN] epoch: 290, iter: 107700/160000, loss: 0.0560, lr: 0.000020, batch_cost: 1.2273, reader_cost: 0.00021, ips: 1.6296 samples/sec | ETA 17:49:46 2021-08-23 02:55:12 [INFO] [TRAIN] epoch: 290, iter: 107710/160000, loss: 0.0506, lr: 0.000020, batch_cost: 1.2366, reader_cost: 0.00021, ips: 1.6173 samples/sec | ETA 17:57:44 2021-08-23 02:55:24 [INFO] [TRAIN] epoch: 290, iter: 107720/160000, loss: 0.0385, lr: 0.000020, batch_cost: 1.2122, reader_cost: 0.00022, ips: 1.6499 samples/sec | ETA 17:36:14 2021-08-23 02:55:37 [INFO] [TRAIN] epoch: 290, iter: 107730/160000, loss: 0.0575, lr: 0.000020, batch_cost: 1.2310, reader_cost: 0.00023, ips: 1.6248 samples/sec | ETA 17:52:21 2021-08-23 02:55:49 [INFO] [TRAIN] epoch: 290, iter: 107740/160000, loss: 0.0542, lr: 0.000020, batch_cost: 1.2408, reader_cost: 0.00022, ips: 1.6118 samples/sec | ETA 18:00:46 2021-08-23 02:56:01 [INFO] [TRAIN] epoch: 290, iter: 107750/160000, loss: 0.0471, lr: 0.000020, batch_cost: 1.2259, reader_cost: 0.00023, ips: 1.6314 samples/sec | ETA 17:47:33 2021-08-23 02:56:14 [INFO] [TRAIN] epoch: 290, iter: 107760/160000, loss: 0.0492, lr: 0.000020, batch_cost: 1.2297, reader_cost: 0.00024, ips: 1.6264 samples/sec | ETA 17:50:38 2021-08-23 02:56:26 [INFO] [TRAIN] epoch: 290, iter: 107770/160000, loss: 0.0539, lr: 0.000020, batch_cost: 1.2153, reader_cost: 0.00021, ips: 1.6457 samples/sec | ETA 17:37:52 2021-08-23 02:56:38 [INFO] [TRAIN] epoch: 290, iter: 107780/160000, loss: 0.0464, lr: 0.000020, batch_cost: 1.2398, reader_cost: 0.00023, ips: 1.6131 samples/sec | ETA 17:59:03 2021-08-23 02:56:50 [INFO] [TRAIN] epoch: 290, iter: 107790/160000, loss: 0.0435, lr: 0.000020, batch_cost: 1.2099, reader_cost: 0.00022, ips: 1.6530 samples/sec | ETA 17:32:49 2021-08-23 02:57:02 [INFO] [TRAIN] epoch: 290, iter: 107800/160000, loss: 0.0558, lr: 0.000020, batch_cost: 1.2140, reader_cost: 0.00021, ips: 1.6475 samples/sec | ETA 17:36:09 2021-08-23 02:57:15 [INFO] [TRAIN] epoch: 290, iter: 107810/160000, loss: 0.0505, lr: 0.000020, batch_cost: 1.2296, reader_cost: 0.00022, ips: 1.6266 samples/sec | ETA 17:49:32 2021-08-23 02:57:27 [INFO] [TRAIN] epoch: 290, iter: 107820/160000, loss: 0.0534, lr: 0.000020, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6378 samples/sec | ETA 17:41:59 2021-08-23 02:57:39 [INFO] [TRAIN] epoch: 290, iter: 107830/160000, loss: 0.0505, lr: 0.000020, batch_cost: 1.2363, reader_cost: 0.00023, ips: 1.6177 samples/sec | ETA 17:54:59 2021-08-23 02:57:51 [INFO] [TRAIN] epoch: 290, iter: 107840/160000, loss: 0.0503, lr: 0.000020, batch_cost: 1.2086, reader_cost: 0.00022, ips: 1.6548 samples/sec | ETA 17:30:42 2021-08-23 02:58:04 [INFO] [TRAIN] epoch: 290, iter: 107850/160000, loss: 0.0466, lr: 0.000020, batch_cost: 1.2371, reader_cost: 0.00024, ips: 1.6167 samples/sec | ETA 17:55:14 2021-08-23 02:58:16 [INFO] [TRAIN] epoch: 290, iter: 107860/160000, loss: 0.0530, lr: 0.000020, batch_cost: 1.2307, reader_cost: 0.00025, ips: 1.6250 samples/sec | ETA 17:49:30 2021-08-23 02:58:28 [INFO] [TRAIN] epoch: 290, iter: 107870/160000, loss: 0.0600, lr: 0.000020, batch_cost: 1.2119, reader_cost: 0.00021, ips: 1.6503 samples/sec | ETA 17:32:54 2021-08-23 02:58:40 [INFO] [TRAIN] epoch: 290, iter: 107880/160000, loss: 0.0485, lr: 0.000020, batch_cost: 1.1848, reader_cost: 0.00016, ips: 1.6881 samples/sec | ETA 17:09:10 2021-08-23 02:58:55 [INFO] [TRAIN] epoch: 291, iter: 107890/160000, loss: 0.0490, lr: 0.000020, batch_cost: 1.4904, reader_cost: 0.21291, ips: 1.3419 samples/sec | ETA 21:34:25 2021-08-23 02:59:07 [INFO] [TRAIN] epoch: 291, iter: 107900/160000, loss: 0.0458, lr: 0.000020, batch_cost: 1.2290, reader_cost: 0.00076, ips: 1.6273 samples/sec | ETA 17:47:12 2021-08-23 02:59:20 [INFO] [TRAIN] epoch: 291, iter: 107910/160000, loss: 0.0544, lr: 0.000020, batch_cost: 1.2400, reader_cost: 0.00020, ips: 1.6129 samples/sec | ETA 17:56:32 2021-08-23 02:59:32 [INFO] [TRAIN] epoch: 291, iter: 107920/160000, loss: 0.0583, lr: 0.000020, batch_cost: 1.2160, reader_cost: 0.00021, ips: 1.6448 samples/sec | ETA 17:35:27 2021-08-23 02:59:44 [INFO] [TRAIN] epoch: 291, iter: 107930/160000, loss: 0.0662, lr: 0.000020, batch_cost: 1.2600, reader_cost: 0.00021, ips: 1.5873 samples/sec | ETA 18:13:26 2021-08-23 02:59:57 [INFO] [TRAIN] epoch: 291, iter: 107940/160000, loss: 0.0543, lr: 0.000020, batch_cost: 1.2441, reader_cost: 0.00021, ips: 1.6076 samples/sec | ETA 17:59:26 2021-08-23 03:00:09 [INFO] [TRAIN] epoch: 291, iter: 107950/160000, loss: 0.0485, lr: 0.000020, batch_cost: 1.2507, reader_cost: 0.00025, ips: 1.5991 samples/sec | ETA 18:05:00 2021-08-23 03:00:21 [INFO] [TRAIN] epoch: 291, iter: 107960/160000, loss: 0.0551, lr: 0.000020, batch_cost: 1.2174, reader_cost: 0.00021, ips: 1.6429 samples/sec | ETA 17:35:51 2021-08-23 03:00:34 [INFO] [TRAIN] epoch: 291, iter: 107970/160000, loss: 0.0477, lr: 0.000020, batch_cost: 1.2312, reader_cost: 0.00024, ips: 1.6244 samples/sec | ETA 17:47:40 2021-08-23 03:00:46 [INFO] [TRAIN] epoch: 291, iter: 107980/160000, loss: 0.0529, lr: 0.000020, batch_cost: 1.2220, reader_cost: 0.00022, ips: 1.6366 samples/sec | ETA 17:39:29 2021-08-23 03:00:58 [INFO] [TRAIN] epoch: 291, iter: 107990/160000, loss: 0.0506, lr: 0.000020, batch_cost: 1.2234, reader_cost: 0.00023, ips: 1.6348 samples/sec | ETA 17:40:27 2021-08-23 03:01:10 [INFO] [TRAIN] epoch: 291, iter: 108000/160000, loss: 0.0615, lr: 0.000020, batch_cost: 1.2165, reader_cost: 0.00021, ips: 1.6441 samples/sec | ETA 17:34:18 2021-08-23 03:01:10 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 6:00 - batch_cost: 2.9071 - reader cost: 0.4000 2/125 [..............................] - ETA: 5:20 - batch_cost: 2.6056 - reader cost: 0.2001 3/125 [..............................] - ETA: 5:02 - batch_cost: 2.4808 - reader cost: 0.1335 4/125 [..............................] - ETA: 4:46 - batch_cost: 2.3640 - reader cost: 0.1002 5/125 [>.............................] - ETA: 4:34 - batch_cost: 2.2909 - reader cost: 0.0802 6/125 [>.............................] - ETA: 4:30 - batch_cost: 2.2707 - reader cost: 0.0669 7/125 [>.............................] - ETA: 4:26 - batch_cost: 2.2611 - reader cost: 0.0573 8/125 [>.............................] - ETA: 4:21 - batch_cost: 2.2386 - reader cost: 0.0502 9/125 [=>............................] - ETA: 4:16 - batch_cost: 2.2135 - reader cost: 0.0446 10/125 [=>............................] - ETA: 4:13 - batch_cost: 2.2080 - reader cost: 0.0402 11/125 [=>............................] - ETA: 4:10 - batch_cost: 2.1979 - reader cost: 0.0366 12/125 [=>............................] - ETA: 4:07 - batch_cost: 2.1893 - reader cost: 0.0335 13/125 [==>...........................] - ETA: 4:04 - batch_cost: 2.1840 - reader cost: 0.0310 14/125 [==>...........................] - ETA: 4:01 - batch_cost: 2.1753 - reader cost: 0.0288 15/125 [==>...........................] - ETA: 3:58 - batch_cost: 2.1701 - reader cost: 0.0269 16/125 [==>...........................] - ETA: 3:55 - batch_cost: 2.1573 - reader cost: 0.0252 17/125 [===>..........................] - ETA: 3:52 - batch_cost: 2.1499 - reader cost: 0.0237 18/125 [===>..........................] - ETA: 3:50 - batch_cost: 2.1519 - reader cost: 0.0224 19/125 [===>..........................] - ETA: 3:47 - batch_cost: 2.1436 - reader cost: 0.0212 20/125 [===>..........................] - ETA: 3:44 - batch_cost: 2.1410 - reader cost: 0.0202 21/125 [====>.........................] - ETA: 3:42 - batch_cost: 2.1359 - reader cost: 0.0192 22/125 [====>.........................] - ETA: 3:39 - batch_cost: 2.1312 - reader cost: 0.0184 23/125 [====>.........................] - ETA: 3:37 - batch_cost: 2.1342 - reader cost: 0.0176 24/125 [====>.........................] - ETA: 3:35 - batch_cost: 2.1310 - reader cost: 0.0169 25/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1317 - reader cost: 0.0162 26/125 [=====>........................] - ETA: 3:30 - batch_cost: 2.1305 - reader cost: 0.0156 27/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1259 - reader cost: 0.0150 28/125 [=====>........................] - ETA: 3:26 - batch_cost: 2.1281 - reader cost: 0.0145 29/125 [=====>........................] - ETA: 3:24 - batch_cost: 2.1276 - reader cost: 0.0140 30/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1258 - reader cost: 0.0135 31/125 [======>.......................] - ETA: 3:19 - batch_cost: 2.1245 - reader cost: 0.0131 32/125 [======>.......................] - ETA: 3:17 - batch_cost: 2.1241 - reader cost: 0.0127 33/125 [======>.......................] - ETA: 3:15 - batch_cost: 2.1238 - reader cost: 0.0123 34/125 [=======>......................] - ETA: 3:13 - batch_cost: 2.1232 - reader cost: 0.0120 35/125 [=======>......................] - ETA: 3:10 - batch_cost: 2.1208 - reader cost: 0.0116 36/125 [=======>......................] - ETA: 3:08 - batch_cost: 2.1225 - reader cost: 0.0113 37/125 [=======>......................] - ETA: 3:06 - batch_cost: 2.1213 - reader cost: 0.0110 38/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1200 - reader cost: 0.0107 39/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1193 - reader cost: 0.0105 40/125 [========>.....................] - ETA: 3:00 - batch_cost: 2.1174 - reader cost: 0.0102 41/125 [========>.....................] - ETA: 2:57 - batch_cost: 2.1166 - reader cost: 0.0100 42/125 [=========>....................] - ETA: 2:55 - batch_cost: 2.1152 - reader cost: 0.0097 43/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1119 - reader cost: 0.0095 44/125 [=========>....................] - ETA: 2:50 - batch_cost: 2.1087 - reader cost: 0.0093 45/125 [=========>....................] - ETA: 2:48 - batch_cost: 2.1069 - reader cost: 0.0091 46/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1060 - reader cost: 0.0089 47/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1030 - reader cost: 0.0087 48/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1092 - reader cost: 0.0085 49/125 [==========>...................] - ETA: 2:40 - batch_cost: 2.1074 - reader cost: 0.0084 50/125 [===========>..................] - ETA: 2:37 - batch_cost: 2.1056 - reader cost: 0.0082 51/125 [===========>..................] - ETA: 2:35 - batch_cost: 2.1039 - reader cost: 0.0080 52/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.1021 - reader cost: 0.0079 53/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.1005 - reader cost: 0.0077 54/125 [===========>..................] - ETA: 2:29 - batch_cost: 2.0996 - reader cost: 0.0076 55/125 [============>.................] - ETA: 2:26 - batch_cost: 2.0981 - reader cost: 0.0075 56/125 [============>.................] - ETA: 2:24 - batch_cost: 2.0965 - reader cost: 0.0073 57/125 [============>.................] - ETA: 2:22 - batch_cost: 2.0939 - reader cost: 0.0072 58/125 [============>.................] - ETA: 2:20 - batch_cost: 2.0926 - reader cost: 0.0071 59/125 [=============>................] - ETA: 2:18 - batch_cost: 2.0911 - reader cost: 0.0070 60/125 [=============>................] - ETA: 2:15 - batch_cost: 2.0903 - reader cost: 0.0069 61/125 [=============>................] - ETA: 2:13 - batch_cost: 2.0888 - reader cost: 0.0068 62/125 [=============>................] - ETA: 2:11 - batch_cost: 2.0872 - reader cost: 0.0066 63/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.0853 - reader cost: 0.0065 64/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.0832 - reader cost: 0.0064 65/125 [==============>...............] - ETA: 2:04 - batch_cost: 2.0817 - reader cost: 0.0063 66/125 [==============>...............] - ETA: 2:02 - batch_cost: 2.0799 - reader cost: 0.0063 67/125 [===============>..............] - ETA: 2:00 - batch_cost: 2.0829 - reader cost: 0.0062 68/125 [===============>..............] - ETA: 1:58 - batch_cost: 2.0821 - reader cost: 0.0061 69/125 [===============>..............] - ETA: 1:56 - batch_cost: 2.0832 - reader cost: 0.0060 70/125 [===============>..............] - ETA: 1:54 - batch_cost: 2.0843 - reader cost: 0.0059 71/125 [================>.............] - ETA: 1:52 - batch_cost: 2.0835 - reader cost: 0.0058 72/125 [================>.............] - ETA: 1:50 - batch_cost: 2.0829 - reader cost: 0.0057 73/125 [================>.............] - ETA: 1:48 - batch_cost: 2.0822 - reader cost: 0.0057 74/125 [================>.............] - ETA: 1:46 - batch_cost: 2.0812 - reader cost: 0.0056 75/125 [=================>............] - ETA: 1:44 - batch_cost: 2.0830 - reader cost: 0.0055 76/125 [=================>............] - ETA: 1:42 - batch_cost: 2.0844 - reader cost: 0.0055 77/125 [=================>............] - ETA: 1:40 - batch_cost: 2.0869 - reader cost: 0.0054 78/125 [=================>............] - ETA: 1:38 - batch_cost: 2.0887 - reader cost: 0.0053 79/125 [=================>............] - ETA: 1:36 - batch_cost: 2.0893 - reader cost: 0.0053 80/125 [==================>...........] - ETA: 1:34 - batch_cost: 2.0890 - reader cost: 0.0052 81/125 [==================>...........] - ETA: 1:31 - batch_cost: 2.0883 - reader cost: 0.0051 82/125 [==================>...........] - ETA: 1:29 - batch_cost: 2.0880 - reader cost: 0.0051 83/125 [==================>...........] - ETA: 1:27 - batch_cost: 2.0878 - reader cost: 0.0050 84/125 [===================>..........] - ETA: 1:25 - batch_cost: 2.0877 - reader cost: 0.0050 85/125 [===================>..........] - ETA: 1:23 - batch_cost: 2.0873 - reader cost: 0.0049 86/125 [===================>..........] - ETA: 1:21 - batch_cost: 2.0878 - reader cost: 0.0048 87/125 [===================>..........] - ETA: 1:19 - batch_cost: 2.0879 - reader cost: 0.0048 88/125 [====================>.........] - ETA: 1:17 - batch_cost: 2.0877 - reader cost: 0.0047 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.0873 - reader cost: 0.0047 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.0869 - reader cost: 0.0046 91/125 [====================>.........] - ETA: 1:10 - batch_cost: 2.0874 - reader cost: 0.0046 92/125 [=====================>........] - ETA: 1:08 - batch_cost: 2.0874 - reader cost: 0.0045 93/125 [=====================>........] - ETA: 1:06 - batch_cost: 2.0874 - reader cost: 0.0045 94/125 [=====================>........] - ETA: 1:04 - batch_cost: 2.0873 - reader cost: 0.0044 95/125 [=====================>........] - ETA: 1:02 - batch_cost: 2.0877 - reader cost: 0.0044 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.0879 - reader cost: 0.0044 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.0881 - reader cost: 0.0043  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.0885 - reader cost: 0.0043 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.0890 - reader cost: 0.0042 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.0898 - reader cost: 0.0042 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.0902 - reader cost: 0.0042 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.0901 - reader cost: 0.0041 103/125 [=======================>......] - ETA: 45s - batch_cost: 2.0905 - reader cost: 0.0041 104/125 [=======================>......] - ETA: 43s - batch_cost: 2.0908 - reader cost: 0.0040 105/125 [========================>.....] - ETA: 41s - batch_cost: 2.0910 - reader cost: 0.0040 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.0911 - reader cost: 0.0040 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.0913 - reader cost: 0.0039 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.0914 - reader cost: 0.0039 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.0914 - reader cost: 0.0039 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.0912 - reader cost: 0.0038 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.0911 - reader cost: 0.0038 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.0918 - reader cost: 0.0038 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.0909 - reader cost: 0.0037 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.0914 - reader cost: 0.0037 115/125 [==========================>...] - ETA: 20s - batch_cost: 2.0911 - reader cost: 0.0037 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.0914 - reader cost: 0.0036 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.0913 - reader cost: 0.0036 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.0912 - reader cost: 0.0036 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0910 - reader cost: 0.0036 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0912 - reader cost: 0.0035 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0910 - reader cost: 0.0035  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0912 - reader cost: 0.0035 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0912 - reader cost: 0.0034 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0908 - reader cost: 0.0034 125/125 [==============================] - 261s 2s/step - batch_cost: 2.0906 - reader cost: 0.0034 2021-08-23 03:05:32 [INFO] [EVAL] #Images: 500 mIoU: 0.8211 Acc: 0.9673 Kappa: 0.9575 2021-08-23 03:05:32 [INFO] [EVAL] Class IoU: [0.9841 0.8716 0.9384 0.6791 0.6654 0.6972 0.7589 0.8234 0.9325 0.6581 0.9572 0.8484 0.666 0.9593 0.881 0.907 0.8566 0.7187 0.7973] 2021-08-23 03:05:32 [INFO] [EVAL] Class Acc: [0.9928 0.9249 0.967 0.848 0.8601 0.8474 0.8555 0.9153 0.9585 0.8626 0.9734 0.9108 0.8111 0.9776 0.9581 0.9443 0.9623 0.8346 0.867 ] 2021-08-23 03:05:35 [INFO] [EVAL] The model with the best validation mIoU (0.8229) was saved at iter 100000. 2021-08-23 03:05:47 [INFO] [TRAIN] epoch: 291, iter: 108010/160000, loss: 0.0537, lr: 0.000019, batch_cost: 1.2265, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 17:42:46 2021-08-23 03:05:59 [INFO] [TRAIN] epoch: 291, iter: 108020/160000, loss: 0.0480, lr: 0.000019, batch_cost: 1.2099, reader_cost: 0.00021, ips: 1.6531 samples/sec | ETA 17:28:09 2021-08-23 03:06:11 [INFO] [TRAIN] epoch: 291, iter: 108030/160000, loss: 0.0591, lr: 0.000019, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6360 samples/sec | ETA 17:38:51 2021-08-23 03:06:23 [INFO] [TRAIN] epoch: 291, iter: 108040/160000, loss: 0.0495, lr: 0.000019, batch_cost: 1.2253, reader_cost: 0.00021, ips: 1.6323 samples/sec | ETA 17:41:05 2021-08-23 03:06:36 [INFO] [TRAIN] epoch: 291, iter: 108050/160000, loss: 0.0449, lr: 0.000019, batch_cost: 1.2327, reader_cost: 0.00021, ips: 1.6224 samples/sec | ETA 17:47:20 2021-08-23 03:06:48 [INFO] [TRAIN] epoch: 291, iter: 108060/160000, loss: 0.0605, lr: 0.000019, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6390 samples/sec | ETA 17:36:19 2021-08-23 03:07:00 [INFO] [TRAIN] epoch: 291, iter: 108070/160000, loss: 0.0527, lr: 0.000019, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6404 samples/sec | ETA 17:35:14 2021-08-23 03:07:12 [INFO] [TRAIN] epoch: 291, iter: 108080/160000, loss: 0.0443, lr: 0.000019, batch_cost: 1.2217, reader_cost: 0.00022, ips: 1.6371 samples/sec | ETA 17:37:10 2021-08-23 03:07:24 [INFO] [TRAIN] epoch: 291, iter: 108090/160000, loss: 0.0470, lr: 0.000019, batch_cost: 1.2144, reader_cost: 0.00020, ips: 1.6469 samples/sec | ETA 17:30:38 2021-08-23 03:07:37 [INFO] [TRAIN] epoch: 291, iter: 108100/160000, loss: 0.0559, lr: 0.000019, batch_cost: 1.2173, reader_cost: 0.00020, ips: 1.6430 samples/sec | ETA 17:32:55 2021-08-23 03:07:49 [INFO] [TRAIN] epoch: 291, iter: 108110/160000, loss: 0.0572, lr: 0.000019, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6325 samples/sec | ETA 17:39:30 2021-08-23 03:08:01 [INFO] [TRAIN] epoch: 291, iter: 108120/160000, loss: 0.0596, lr: 0.000019, batch_cost: 1.2239, reader_cost: 0.00022, ips: 1.6341 samples/sec | ETA 17:38:15 2021-08-23 03:08:13 [INFO] [TRAIN] epoch: 291, iter: 108130/160000, loss: 0.0631, lr: 0.000019, batch_cost: 1.2196, reader_cost: 0.00021, ips: 1.6399 samples/sec | ETA 17:34:21 2021-08-23 03:08:26 [INFO] [TRAIN] epoch: 291, iter: 108140/160000, loss: 0.0397, lr: 0.000019, batch_cost: 1.2283, reader_cost: 0.00023, ips: 1.6283 samples/sec | ETA 17:41:39 2021-08-23 03:08:38 [INFO] [TRAIN] epoch: 291, iter: 108150/160000, loss: 0.0689, lr: 0.000019, batch_cost: 1.2473, reader_cost: 0.00021, ips: 1.6034 samples/sec | ETA 17:57:53 2021-08-23 03:08:50 [INFO] [TRAIN] epoch: 291, iter: 108160/160000, loss: 0.0448, lr: 0.000019, batch_cost: 1.2219, reader_cost: 0.00021, ips: 1.6368 samples/sec | ETA 17:35:45 2021-08-23 03:09:03 [INFO] [TRAIN] epoch: 291, iter: 108170/160000, loss: 0.0460, lr: 0.000019, batch_cost: 1.2228, reader_cost: 0.00023, ips: 1.6356 samples/sec | ETA 17:36:17 2021-08-23 03:09:15 [INFO] [TRAIN] epoch: 291, iter: 108180/160000, loss: 0.0527, lr: 0.000019, batch_cost: 1.2247, reader_cost: 0.00021, ips: 1.6331 samples/sec | ETA 17:37:42 2021-08-23 03:09:27 [INFO] [TRAIN] epoch: 291, iter: 108190/160000, loss: 0.0627, lr: 0.000019, batch_cost: 1.2367, reader_cost: 0.00021, ips: 1.6172 samples/sec | ETA 17:47:53 2021-08-23 03:09:39 [INFO] [TRAIN] epoch: 291, iter: 108200/160000, loss: 0.0617, lr: 0.000019, batch_cost: 1.2159, reader_cost: 0.00022, ips: 1.6449 samples/sec | ETA 17:29:44 2021-08-23 03:09:52 [INFO] [TRAIN] epoch: 291, iter: 108210/160000, loss: 0.0593, lr: 0.000019, batch_cost: 1.2293, reader_cost: 0.00021, ips: 1.6269 samples/sec | ETA 17:41:06 2021-08-23 03:10:04 [INFO] [TRAIN] epoch: 291, iter: 108220/160000, loss: 0.0589, lr: 0.000019, batch_cost: 1.2207, reader_cost: 0.00021, ips: 1.6383 samples/sec | ETA 17:33:30 2021-08-23 03:10:16 [INFO] [TRAIN] epoch: 291, iter: 108230/160000, loss: 0.0449, lr: 0.000019, batch_cost: 1.2164, reader_cost: 0.00022, ips: 1.6442 samples/sec | ETA 17:29:33 2021-08-23 03:10:28 [INFO] [TRAIN] epoch: 291, iter: 108240/160000, loss: 0.0429, lr: 0.000019, batch_cost: 1.2133, reader_cost: 0.00022, ips: 1.6484 samples/sec | ETA 17:26:39 2021-08-23 03:10:40 [INFO] [TRAIN] epoch: 291, iter: 108250/160000, loss: 0.0608, lr: 0.000019, batch_cost: 1.1858, reader_cost: 0.00015, ips: 1.6867 samples/sec | ETA 17:02:44 2021-08-23 03:10:55 [INFO] [TRAIN] epoch: 292, iter: 108260/160000, loss: 0.0473, lr: 0.000019, batch_cost: 1.4918, reader_cost: 0.21044, ips: 1.3407 samples/sec | ETA 21:26:23 2021-08-23 03:11:07 [INFO] [TRAIN] epoch: 292, iter: 108270/160000, loss: 0.0513, lr: 0.000019, batch_cost: 1.2447, reader_cost: 0.00085, ips: 1.6068 samples/sec | ETA 17:53:08 2021-08-23 03:11:20 [INFO] [TRAIN] epoch: 292, iter: 108280/160000, loss: 0.0612, lr: 0.000019, batch_cost: 1.2224, reader_cost: 0.00021, ips: 1.6361 samples/sec | ETA 17:33:43 2021-08-23 03:11:32 [INFO] [TRAIN] epoch: 292, iter: 108290/160000, loss: 0.0563, lr: 0.000019, batch_cost: 1.2308, reader_cost: 0.00021, ips: 1.6249 samples/sec | ETA 17:40:45 2021-08-23 03:11:44 [INFO] [TRAIN] epoch: 292, iter: 108300/160000, loss: 0.0507, lr: 0.000019, batch_cost: 1.2233, reader_cost: 0.00022, ips: 1.6349 samples/sec | ETA 17:34:05 2021-08-23 03:11:56 [INFO] [TRAIN] epoch: 292, iter: 108310/160000, loss: 0.0544, lr: 0.000019, batch_cost: 1.2188, reader_cost: 0.00021, ips: 1.6409 samples/sec | ETA 17:30:00 2021-08-23 03:12:09 [INFO] [TRAIN] epoch: 292, iter: 108320/160000, loss: 0.0476, lr: 0.000019, batch_cost: 1.2293, reader_cost: 0.00023, ips: 1.6270 samples/sec | ETA 17:38:48 2021-08-23 03:12:21 [INFO] [TRAIN] epoch: 292, iter: 108330/160000, loss: 0.0560, lr: 0.000019, batch_cost: 1.2206, reader_cost: 0.00022, ips: 1.6385 samples/sec | ETA 17:31:08 2021-08-23 03:12:33 [INFO] [TRAIN] epoch: 292, iter: 108340/160000, loss: 0.0567, lr: 0.000019, batch_cost: 1.2239, reader_cost: 0.00021, ips: 1.6342 samples/sec | ETA 17:33:44 2021-08-23 03:12:45 [INFO] [TRAIN] epoch: 292, iter: 108350/160000, loss: 0.0541, lr: 0.000019, batch_cost: 1.2365, reader_cost: 0.00026, ips: 1.6175 samples/sec | ETA 17:44:24 2021-08-23 03:12:58 [INFO] [TRAIN] epoch: 292, iter: 108360/160000, loss: 0.0585, lr: 0.000019, batch_cost: 1.2253, reader_cost: 0.00023, ips: 1.6323 samples/sec | ETA 17:34:33 2021-08-23 03:13:10 [INFO] [TRAIN] epoch: 292, iter: 108370/160000, loss: 0.0422, lr: 0.000019, batch_cost: 1.2244, reader_cost: 0.00021, ips: 1.6334 samples/sec | ETA 17:33:37 2021-08-23 03:13:22 [INFO] [TRAIN] epoch: 292, iter: 108380/160000, loss: 0.0558, lr: 0.000019, batch_cost: 1.2304, reader_cost: 0.00023, ips: 1.6255 samples/sec | ETA 17:38:31 2021-08-23 03:13:34 [INFO] [TRAIN] epoch: 292, iter: 108390/160000, loss: 0.0503, lr: 0.000019, batch_cost: 1.2289, reader_cost: 0.00021, ips: 1.6275 samples/sec | ETA 17:37:01 2021-08-23 03:13:47 [INFO] [TRAIN] epoch: 292, iter: 108400/160000, loss: 0.0461, lr: 0.000019, batch_cost: 1.2221, reader_cost: 0.00021, ips: 1.6365 samples/sec | ETA 17:31:01 2021-08-23 03:13:59 [INFO] [TRAIN] epoch: 292, iter: 108410/160000, loss: 0.0552, lr: 0.000019, batch_cost: 1.2188, reader_cost: 0.00024, ips: 1.6409 samples/sec | ETA 17:28:00 2021-08-23 03:14:11 [INFO] [TRAIN] epoch: 292, iter: 108420/160000, loss: 0.0555, lr: 0.000019, batch_cost: 1.2468, reader_cost: 0.00023, ips: 1.6041 samples/sec | ETA 17:51:48 2021-08-23 03:14:24 [INFO] [TRAIN] epoch: 292, iter: 108430/160000, loss: 0.0529, lr: 0.000019, batch_cost: 1.2460, reader_cost: 0.00025, ips: 1.6051 samples/sec | ETA 17:50:58 2021-08-23 03:14:36 [INFO] [TRAIN] epoch: 292, iter: 108440/160000, loss: 0.0543, lr: 0.000019, batch_cost: 1.2464, reader_cost: 0.00022, ips: 1.6047 samples/sec | ETA 17:51:02 2021-08-23 03:14:49 [INFO] [TRAIN] epoch: 292, iter: 108450/160000, loss: 0.0515, lr: 0.000019, batch_cost: 1.2338, reader_cost: 0.00021, ips: 1.6210 samples/sec | ETA 17:40:03 2021-08-23 03:15:01 [INFO] [TRAIN] epoch: 292, iter: 108460/160000, loss: 0.0543, lr: 0.000019, batch_cost: 1.2183, reader_cost: 0.00022, ips: 1.6416 samples/sec | ETA 17:26:31 2021-08-23 03:15:13 [INFO] [TRAIN] epoch: 292, iter: 108470/160000, loss: 0.0561, lr: 0.000019, batch_cost: 1.2226, reader_cost: 0.00022, ips: 1.6359 samples/sec | ETA 17:30:00 2021-08-23 03:15:25 [INFO] [TRAIN] epoch: 292, iter: 108480/160000, loss: 0.0511, lr: 0.000019, batch_cost: 1.2369, reader_cost: 0.00023, ips: 1.6169 samples/sec | ETA 17:42:06 2021-08-23 03:15:38 [INFO] [TRAIN] epoch: 292, iter: 108490/160000, loss: 0.0521, lr: 0.000019, batch_cost: 1.2375, reader_cost: 0.00020, ips: 1.6162 samples/sec | ETA 17:42:23 2021-08-23 03:15:50 [INFO] [TRAIN] epoch: 292, iter: 108500/160000, loss: 0.0599, lr: 0.000019, batch_cost: 1.2181, reader_cost: 0.00022, ips: 1.6419 samples/sec | ETA 17:25:32 2021-08-23 03:16:02 [INFO] [TRAIN] epoch: 292, iter: 108510/160000, loss: 0.0560, lr: 0.000019, batch_cost: 1.2286, reader_cost: 0.00020, ips: 1.6278 samples/sec | ETA 17:34:22 2021-08-23 03:16:15 [INFO] [TRAIN] epoch: 292, iter: 108520/160000, loss: 0.0540, lr: 0.000019, batch_cost: 1.2263, reader_cost: 0.00021, ips: 1.6309 samples/sec | ETA 17:32:11 2021-08-23 03:16:27 [INFO] [TRAIN] epoch: 292, iter: 108530/160000, loss: 0.0584, lr: 0.000019, batch_cost: 1.2089, reader_cost: 0.00020, ips: 1.6544 samples/sec | ETA 17:17:00 2021-08-23 03:16:39 [INFO] [TRAIN] epoch: 292, iter: 108540/160000, loss: 0.0580, lr: 0.000019, batch_cost: 1.2126, reader_cost: 0.00021, ips: 1.6493 samples/sec | ETA 17:20:02 2021-08-23 03:16:51 [INFO] [TRAIN] epoch: 292, iter: 108550/160000, loss: 0.0433, lr: 0.000019, batch_cost: 1.2196, reader_cost: 0.00035, ips: 1.6399 samples/sec | ETA 17:25:48 2021-08-23 03:17:03 [INFO] [TRAIN] epoch: 292, iter: 108560/160000, loss: 0.0391, lr: 0.000019, batch_cost: 1.2017, reader_cost: 0.00023, ips: 1.6643 samples/sec | ETA 17:10:16 2021-08-23 03:17:15 [INFO] [TRAIN] epoch: 292, iter: 108570/160000, loss: 0.0515, lr: 0.000019, batch_cost: 1.2377, reader_cost: 0.00022, ips: 1.6159 samples/sec | ETA 17:40:55 2021-08-23 03:17:28 [INFO] [TRAIN] epoch: 292, iter: 108580/160000, loss: 0.0522, lr: 0.000019, batch_cost: 1.2199, reader_cost: 0.00024, ips: 1.6395 samples/sec | ETA 17:25:26 2021-08-23 03:17:40 [INFO] [TRAIN] epoch: 292, iter: 108590/160000, loss: 0.0649, lr: 0.000019, batch_cost: 1.2338, reader_cost: 0.00022, ips: 1.6210 samples/sec | ETA 17:37:11 2021-08-23 03:17:52 [INFO] [TRAIN] epoch: 292, iter: 108600/160000, loss: 0.0454, lr: 0.000019, batch_cost: 1.2344, reader_cost: 0.00021, ips: 1.6202 samples/sec | ETA 17:37:28 2021-08-23 03:18:05 [INFO] [TRAIN] epoch: 292, iter: 108610/160000, loss: 0.0616, lr: 0.000019, batch_cost: 1.2420, reader_cost: 0.00022, ips: 1.6103 samples/sec | ETA 17:43:48 2021-08-23 03:18:17 [INFO] [TRAIN] epoch: 292, iter: 108620/160000, loss: 0.0613, lr: 0.000019, batch_cost: 1.1929, reader_cost: 0.00017, ips: 1.6766 samples/sec | ETA 17:01:31 2021-08-23 03:18:31 [INFO] [TRAIN] epoch: 293, iter: 108630/160000, loss: 0.0438, lr: 0.000019, batch_cost: 1.4851, reader_cost: 0.20094, ips: 1.3467 samples/sec | ETA 21:11:27 2021-08-23 03:18:44 [INFO] [TRAIN] epoch: 293, iter: 108640/160000, loss: 0.0552, lr: 0.000019, batch_cost: 1.2322, reader_cost: 0.00074, ips: 1.6232 samples/sec | ETA 17:34:43 2021-08-23 03:18:56 [INFO] [TRAIN] epoch: 293, iter: 108650/160000, loss: 0.0578, lr: 0.000019, batch_cost: 1.2154, reader_cost: 0.00021, ips: 1.6456 samples/sec | ETA 17:20:08 2021-08-23 03:19:08 [INFO] [TRAIN] epoch: 293, iter: 108660/160000, loss: 0.0590, lr: 0.000019, batch_cost: 1.2204, reader_cost: 0.00021, ips: 1.6388 samples/sec | ETA 17:24:14 2021-08-23 03:19:20 [INFO] [TRAIN] epoch: 293, iter: 108670/160000, loss: 0.0504, lr: 0.000019, batch_cost: 1.2229, reader_cost: 0.00022, ips: 1.6355 samples/sec | ETA 17:26:11 2021-08-23 03:19:33 [INFO] [TRAIN] epoch: 293, iter: 108680/160000, loss: 0.0469, lr: 0.000019, batch_cost: 1.2263, reader_cost: 0.00021, ips: 1.6309 samples/sec | ETA 17:28:55 2021-08-23 03:19:45 [INFO] [TRAIN] epoch: 293, iter: 108690/160000, loss: 0.0564, lr: 0.000019, batch_cost: 1.2171, reader_cost: 0.00021, ips: 1.6432 samples/sec | ETA 17:20:49 2021-08-23 03:19:57 [INFO] [TRAIN] epoch: 293, iter: 108700/160000, loss: 0.0497, lr: 0.000019, batch_cost: 1.2162, reader_cost: 0.00021, ips: 1.6444 samples/sec | ETA 17:19:52 2021-08-23 03:20:09 [INFO] [TRAIN] epoch: 293, iter: 108710/160000, loss: 0.0651, lr: 0.000019, batch_cost: 1.2263, reader_cost: 0.00021, ips: 1.6310 samples/sec | ETA 17:28:15 2021-08-23 03:20:21 [INFO] [TRAIN] epoch: 293, iter: 108720/160000, loss: 0.0560, lr: 0.000019, batch_cost: 1.2195, reader_cost: 0.00021, ips: 1.6400 samples/sec | ETA 17:22:16 2021-08-23 03:20:34 [INFO] [TRAIN] epoch: 293, iter: 108730/160000, loss: 0.0560, lr: 0.000019, batch_cost: 1.2396, reader_cost: 0.00022, ips: 1.6134 samples/sec | ETA 17:39:14 2021-08-23 03:20:46 [INFO] [TRAIN] epoch: 293, iter: 108740/160000, loss: 0.0620, lr: 0.000019, batch_cost: 1.2166, reader_cost: 0.00023, ips: 1.6440 samples/sec | ETA 17:19:20 2021-08-23 03:20:58 [INFO] [TRAIN] epoch: 293, iter: 108750/160000, loss: 0.0503, lr: 0.000019, batch_cost: 1.2371, reader_cost: 0.00023, ips: 1.6167 samples/sec | ETA 17:36:42 2021-08-23 03:21:11 [INFO] [TRAIN] epoch: 293, iter: 108760/160000, loss: 0.0525, lr: 0.000019, batch_cost: 1.2265, reader_cost: 0.00024, ips: 1.6307 samples/sec | ETA 17:27:23 2021-08-23 03:21:23 [INFO] [TRAIN] epoch: 293, iter: 108770/160000, loss: 0.0486, lr: 0.000019, batch_cost: 1.2324, reader_cost: 0.00022, ips: 1.6229 samples/sec | ETA 17:32:13 2021-08-23 03:21:35 [INFO] [TRAIN] epoch: 293, iter: 108780/160000, loss: 0.0560, lr: 0.000019, batch_cost: 1.2170, reader_cost: 0.00022, ips: 1.6434 samples/sec | ETA 17:18:52 2021-08-23 03:21:47 [INFO] [TRAIN] epoch: 293, iter: 108790/160000, loss: 0.0427, lr: 0.000019, batch_cost: 1.2178, reader_cost: 0.00021, ips: 1.6423 samples/sec | ETA 17:19:25 2021-08-23 03:22:00 [INFO] [TRAIN] epoch: 293, iter: 108800/160000, loss: 0.0488, lr: 0.000019, batch_cost: 1.2274, reader_cost: 0.00023, ips: 1.6294 samples/sec | ETA 17:27:24 2021-08-23 03:22:12 [INFO] [TRAIN] epoch: 293, iter: 108810/160000, loss: 0.0547, lr: 0.000019, batch_cost: 1.2175, reader_cost: 0.00020, ips: 1.6427 samples/sec | ETA 17:18:44 2021-08-23 03:22:24 [INFO] [TRAIN] epoch: 293, iter: 108820/160000, loss: 0.0497, lr: 0.000019, batch_cost: 1.2285, reader_cost: 0.00020, ips: 1.6280 samples/sec | ETA 17:27:54 2021-08-23 03:22:36 [INFO] [TRAIN] epoch: 293, iter: 108830/160000, loss: 0.0614, lr: 0.000019, batch_cost: 1.2236, reader_cost: 0.00021, ips: 1.6346 samples/sec | ETA 17:23:30 2021-08-23 03:22:48 [INFO] [TRAIN] epoch: 293, iter: 108840/160000, loss: 0.0532, lr: 0.000019, batch_cost: 1.2248, reader_cost: 0.00023, ips: 1.6329 samples/sec | ETA 17:24:19 2021-08-23 03:23:01 [INFO] [TRAIN] epoch: 293, iter: 108850/160000, loss: 0.0569, lr: 0.000019, batch_cost: 1.2281, reader_cost: 0.00021, ips: 1.6285 samples/sec | ETA 17:26:57 2021-08-23 03:23:13 [INFO] [TRAIN] epoch: 293, iter: 108860/160000, loss: 0.0578, lr: 0.000019, batch_cost: 1.2337, reader_cost: 0.00020, ips: 1.6212 samples/sec | ETA 17:31:29 2021-08-23 03:23:25 [INFO] [TRAIN] epoch: 293, iter: 108870/160000, loss: 0.0606, lr: 0.000019, batch_cost: 1.2269, reader_cost: 0.00022, ips: 1.6302 samples/sec | ETA 17:25:29 2021-08-23 03:23:38 [INFO] [TRAIN] epoch: 293, iter: 108880/160000, loss: 0.0476, lr: 0.000019, batch_cost: 1.2508, reader_cost: 0.00026, ips: 1.5989 samples/sec | ETA 17:45:42 2021-08-23 03:23:50 [INFO] [TRAIN] epoch: 293, iter: 108890/160000, loss: 0.0536, lr: 0.000019, batch_cost: 1.2154, reader_cost: 0.00022, ips: 1.6456 samples/sec | ETA 17:15:17 2021-08-23 03:24:02 [INFO] [TRAIN] epoch: 293, iter: 108900/160000, loss: 0.0555, lr: 0.000019, batch_cost: 1.2394, reader_cost: 0.00022, ips: 1.6137 samples/sec | ETA 17:35:34 2021-08-23 03:24:15 [INFO] [TRAIN] epoch: 293, iter: 108910/160000, loss: 0.0487, lr: 0.000019, batch_cost: 1.2345, reader_cost: 0.00022, ips: 1.6201 samples/sec | ETA 17:31:09 2021-08-23 03:24:27 [INFO] [TRAIN] epoch: 293, iter: 108920/160000, loss: 0.0574, lr: 0.000019, batch_cost: 1.2291, reader_cost: 0.00022, ips: 1.6272 samples/sec | ETA 17:26:21 2021-08-23 03:24:39 [INFO] [TRAIN] epoch: 293, iter: 108930/160000, loss: 0.0535, lr: 0.000019, batch_cost: 1.2224, reader_cost: 0.00021, ips: 1.6362 samples/sec | ETA 17:20:25 2021-08-23 03:24:51 [INFO] [TRAIN] epoch: 293, iter: 108940/160000, loss: 0.0512, lr: 0.000019, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6388 samples/sec | ETA 17:18:34 2021-08-23 03:25:04 [INFO] [TRAIN] epoch: 293, iter: 108950/160000, loss: 0.0545, lr: 0.000019, batch_cost: 1.2226, reader_cost: 0.00023, ips: 1.6358 samples/sec | ETA 17:20:14 2021-08-23 03:25:16 [INFO] [TRAIN] epoch: 293, iter: 108960/160000, loss: 0.0602, lr: 0.000019, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6391 samples/sec | ETA 17:17:59 2021-08-23 03:25:28 [INFO] [TRAIN] epoch: 293, iter: 108970/160000, loss: 0.0536, lr: 0.000019, batch_cost: 1.2350, reader_cost: 0.00022, ips: 1.6194 samples/sec | ETA 17:30:24 2021-08-23 03:25:41 [INFO] [TRAIN] epoch: 293, iter: 108980/160000, loss: 0.0540, lr: 0.000019, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6282 samples/sec | ETA 17:24:29 2021-08-23 03:25:53 [INFO] [TRAIN] epoch: 293, iter: 108990/160000, loss: 0.0567, lr: 0.000019, batch_cost: 1.2154, reader_cost: 0.00017, ips: 1.6455 samples/sec | ETA 17:13:19 2021-08-23 03:26:08 [INFO] [TRAIN] epoch: 294, iter: 109000/160000, loss: 0.0641, lr: 0.000019, batch_cost: 1.5002, reader_cost: 0.21342, ips: 1.3331 samples/sec | ETA 21:15:11 2021-08-23 03:26:20 [INFO] [TRAIN] epoch: 294, iter: 109010/160000, loss: 0.0452, lr: 0.000019, batch_cost: 1.2242, reader_cost: 0.00080, ips: 1.6338 samples/sec | ETA 17:20:20 2021-08-23 03:26:32 [INFO] [TRAIN] epoch: 294, iter: 109020/160000, loss: 0.0501, lr: 0.000019, batch_cost: 1.2160, reader_cost: 0.00021, ips: 1.6447 samples/sec | ETA 17:13:12 2021-08-23 03:26:44 [INFO] [TRAIN] epoch: 294, iter: 109030/160000, loss: 0.0506, lr: 0.000019, batch_cost: 1.2229, reader_cost: 0.00024, ips: 1.6354 samples/sec | ETA 17:18:53 2021-08-23 03:26:57 [INFO] [TRAIN] epoch: 294, iter: 109040/160000, loss: 0.0494, lr: 0.000019, batch_cost: 1.2199, reader_cost: 0.00022, ips: 1.6394 samples/sec | ETA 17:16:08 2021-08-23 03:27:09 [INFO] [TRAIN] epoch: 294, iter: 109050/160000, loss: 0.0513, lr: 0.000019, batch_cost: 1.2138, reader_cost: 0.00022, ips: 1.6478 samples/sec | ETA 17:10:41 2021-08-23 03:27:21 [INFO] [TRAIN] epoch: 294, iter: 109060/160000, loss: 0.0517, lr: 0.000019, batch_cost: 1.2236, reader_cost: 0.00021, ips: 1.6345 samples/sec | ETA 17:18:51 2021-08-23 03:27:33 [INFO] [TRAIN] epoch: 294, iter: 109070/160000, loss: 0.0484, lr: 0.000019, batch_cost: 1.2126, reader_cost: 0.00024, ips: 1.6493 samples/sec | ETA 17:09:17 2021-08-23 03:27:45 [INFO] [TRAIN] epoch: 294, iter: 109080/160000, loss: 0.0452, lr: 0.000019, batch_cost: 1.2167, reader_cost: 0.00023, ips: 1.6438 samples/sec | ETA 17:12:32 2021-08-23 03:27:58 [INFO] [TRAIN] epoch: 294, iter: 109090/160000, loss: 0.0562, lr: 0.000019, batch_cost: 1.2443, reader_cost: 0.00022, ips: 1.6073 samples/sec | ETA 17:35:48 2021-08-23 03:28:10 [INFO] [TRAIN] epoch: 294, iter: 109100/160000, loss: 0.0496, lr: 0.000019, batch_cost: 1.2351, reader_cost: 0.00022, ips: 1.6193 samples/sec | ETA 17:27:44 2021-08-23 03:28:22 [INFO] [TRAIN] epoch: 294, iter: 109110/160000, loss: 0.0555, lr: 0.000019, batch_cost: 1.2365, reader_cost: 0.00021, ips: 1.6174 samples/sec | ETA 17:28:47 2021-08-23 03:28:34 [INFO] [TRAIN] epoch: 294, iter: 109120/160000, loss: 0.0544, lr: 0.000019, batch_cost: 1.2111, reader_cost: 0.00021, ips: 1.6515 samples/sec | ETA 17:06:58 2021-08-23 03:28:47 [INFO] [TRAIN] epoch: 294, iter: 109130/160000, loss: 0.0493, lr: 0.000019, batch_cost: 1.2205, reader_cost: 0.00021, ips: 1.6386 samples/sec | ETA 17:14:48 2021-08-23 03:28:59 [INFO] [TRAIN] epoch: 294, iter: 109140/160000, loss: 0.0553, lr: 0.000019, batch_cost: 1.2209, reader_cost: 0.00023, ips: 1.6381 samples/sec | ETA 17:14:55 2021-08-23 03:29:11 [INFO] [TRAIN] epoch: 294, iter: 109150/160000, loss: 0.0516, lr: 0.000019, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6345 samples/sec | ETA 17:16:59 2021-08-23 03:29:23 [INFO] [TRAIN] epoch: 294, iter: 109160/160000, loss: 0.0638, lr: 0.000019, batch_cost: 1.2151, reader_cost: 0.00021, ips: 1.6459 samples/sec | ETA 17:09:37 2021-08-23 03:29:35 [INFO] [TRAIN] epoch: 294, iter: 109170/160000, loss: 0.0577, lr: 0.000019, batch_cost: 1.2188, reader_cost: 0.00023, ips: 1.6410 samples/sec | ETA 17:12:31 2021-08-23 03:29:48 [INFO] [TRAIN] epoch: 294, iter: 109180/160000, loss: 0.0426, lr: 0.000019, batch_cost: 1.2415, reader_cost: 0.00021, ips: 1.6109 samples/sec | ETA 17:31:35 2021-08-23 03:30:00 [INFO] [TRAIN] epoch: 294, iter: 109190/160000, loss: 0.0618, lr: 0.000019, batch_cost: 1.2367, reader_cost: 0.00022, ips: 1.6172 samples/sec | ETA 17:27:18 2021-08-23 03:30:13 [INFO] [TRAIN] epoch: 294, iter: 109200/160000, loss: 0.0477, lr: 0.000019, batch_cost: 1.2330, reader_cost: 0.00023, ips: 1.6221 samples/sec | ETA 17:23:54 2021-08-23 03:30:25 [INFO] [TRAIN] epoch: 294, iter: 109210/160000, loss: 0.0546, lr: 0.000019, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 17:15:27 2021-08-23 03:30:37 [INFO] [TRAIN] epoch: 294, iter: 109220/160000, loss: 0.0563, lr: 0.000019, batch_cost: 1.2281, reader_cost: 0.00022, ips: 1.6286 samples/sec | ETA 17:19:20 2021-08-23 03:30:49 [INFO] [TRAIN] epoch: 294, iter: 109230/160000, loss: 0.0736, lr: 0.000019, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6404 samples/sec | ETA 17:11:39 2021-08-23 03:31:02 [INFO] [TRAIN] epoch: 294, iter: 109240/160000, loss: 0.0571, lr: 0.000019, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6332 samples/sec | ETA 17:15:58 2021-08-23 03:31:14 [INFO] [TRAIN] epoch: 294, iter: 109250/160000, loss: 0.0538, lr: 0.000019, batch_cost: 1.2261, reader_cost: 0.00024, ips: 1.6312 samples/sec | ETA 17:17:03 2021-08-23 03:31:26 [INFO] [TRAIN] epoch: 294, iter: 109260/160000, loss: 0.0526, lr: 0.000019, batch_cost: 1.2106, reader_cost: 0.00022, ips: 1.6521 samples/sec | ETA 17:03:45 2021-08-23 03:31:38 [INFO] [TRAIN] epoch: 294, iter: 109270/160000, loss: 0.0483, lr: 0.000019, batch_cost: 1.2097, reader_cost: 0.00021, ips: 1.6533 samples/sec | ETA 17:02:49 2021-08-23 03:31:50 [INFO] [TRAIN] epoch: 294, iter: 109280/160000, loss: 0.0559, lr: 0.000019, batch_cost: 1.2291, reader_cost: 0.00023, ips: 1.6272 samples/sec | ETA 17:19:01 2021-08-23 03:32:03 [INFO] [TRAIN] epoch: 294, iter: 109290/160000, loss: 0.0510, lr: 0.000019, batch_cost: 1.2282, reader_cost: 0.00023, ips: 1.6284 samples/sec | ETA 17:18:02 2021-08-23 03:32:15 [INFO] [TRAIN] epoch: 294, iter: 109300/160000, loss: 0.0515, lr: 0.000019, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6345 samples/sec | ETA 17:13:56 2021-08-23 03:32:27 [INFO] [TRAIN] epoch: 294, iter: 109310/160000, loss: 0.0586, lr: 0.000019, batch_cost: 1.2064, reader_cost: 0.00022, ips: 1.6579 samples/sec | ETA 16:59:11 2021-08-23 03:32:39 [INFO] [TRAIN] epoch: 294, iter: 109320/160000, loss: 0.0630, lr: 0.000019, batch_cost: 1.2461, 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17:15:26 2021-08-23 03:35:08 [INFO] [TRAIN] epoch: 295, iter: 109440/160000, loss: 0.0487, lr: 0.000019, batch_cost: 1.2220, reader_cost: 0.00022, ips: 1.6367 samples/sec | ETA 17:09:43 2021-08-23 03:35:21 [INFO] [TRAIN] epoch: 295, iter: 109450/160000, loss: 0.0616, lr: 0.000019, batch_cost: 1.2484, reader_cost: 0.00023, ips: 1.6021 samples/sec | ETA 17:31:44 2021-08-23 03:35:33 [INFO] [TRAIN] epoch: 295, iter: 109460/160000, loss: 0.0510, lr: 0.000019, batch_cost: 1.2221, reader_cost: 0.00024, ips: 1.6366 samples/sec | ETA 17:09:22 2021-08-23 03:35:45 [INFO] [TRAIN] epoch: 295, iter: 109470/160000, loss: 0.0581, lr: 0.000019, batch_cost: 1.2271, reader_cost: 0.00021, ips: 1.6299 samples/sec | ETA 17:13:23 2021-08-23 03:35:58 [INFO] [TRAIN] epoch: 295, iter: 109480/160000, loss: 0.0495, lr: 0.000019, batch_cost: 1.2211, reader_cost: 0.00022, ips: 1.6379 samples/sec | ETA 17:08:10 2021-08-23 03:36:10 [INFO] [TRAIN] epoch: 295, iter: 109490/160000, loss: 0.0577, lr: 0.000019, batch_cost: 1.2352, reader_cost: 0.00021, ips: 1.6191 samples/sec | ETA 17:19:51 2021-08-23 03:36:22 [INFO] [TRAIN] epoch: 295, iter: 109500/160000, loss: 0.0424, lr: 0.000019, batch_cost: 1.2367, reader_cost: 0.00027, ips: 1.6172 samples/sec | ETA 17:20:53 2021-08-23 03:36:35 [INFO] [TRAIN] epoch: 295, iter: 109510/160000, loss: 0.0501, lr: 0.000019, batch_cost: 1.2321, reader_cost: 0.00022, ips: 1.6233 samples/sec | ETA 17:16:47 2021-08-23 03:36:47 [INFO] [TRAIN] epoch: 295, iter: 109520/160000, loss: 0.0442, lr: 0.000019, batch_cost: 1.2189, reader_cost: 0.00022, ips: 1.6409 samples/sec | ETA 17:05:28 2021-08-23 03:36:59 [INFO] [TRAIN] epoch: 295, iter: 109530/160000, loss: 0.0440, lr: 0.000019, batch_cost: 1.2298, reader_cost: 0.00023, ips: 1.6263 samples/sec | ETA 17:14:26 2021-08-23 03:37:11 [INFO] [TRAIN] epoch: 295, iter: 109540/160000, loss: 0.0546, lr: 0.000019, batch_cost: 1.2258, reader_cost: 0.00022, ips: 1.6315 samples/sec | ETA 17:10:55 2021-08-23 03:37:23 [INFO] [TRAIN] epoch: 295, iter: 109550/160000, loss: 0.0545, lr: 0.000019, batch_cost: 1.2149, reader_cost: 0.00022, ips: 1.6462 samples/sec | ETA 17:01:32 2021-08-23 03:37:36 [INFO] [TRAIN] epoch: 295, iter: 109560/160000, loss: 0.0532, lr: 0.000019, batch_cost: 1.2162, reader_cost: 0.00023, ips: 1.6445 samples/sec | ETA 17:02:23 2021-08-23 03:37:48 [INFO] [TRAIN] epoch: 295, iter: 109570/160000, loss: 0.0508, lr: 0.000019, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6377 samples/sec | ETA 17:06:25 2021-08-23 03:38:00 [INFO] [TRAIN] epoch: 295, iter: 109580/160000, loss: 0.0673, lr: 0.000019, batch_cost: 1.2373, reader_cost: 0.00023, ips: 1.6164 samples/sec | ETA 17:19:45 2021-08-23 03:38:13 [INFO] [TRAIN] epoch: 295, iter: 109590/160000, loss: 0.0525, lr: 0.000019, batch_cost: 1.2340, reader_cost: 0.00025, ips: 1.6207 samples/sec | ETA 17:16:46 2021-08-23 03:38:25 [INFO] [TRAIN] epoch: 295, iter: 109600/160000, loss: 0.0561, lr: 0.000019, batch_cost: 1.2386, reader_cost: 0.00022, ips: 1.6147 samples/sec | ETA 17:20:26 2021-08-23 03:38:37 [INFO] [TRAIN] epoch: 295, iter: 109610/160000, loss: 0.0493, lr: 0.000019, batch_cost: 1.2304, reader_cost: 0.00021, ips: 1.6255 samples/sec | ETA 17:13:19 2021-08-23 03:38:50 [INFO] [TRAIN] epoch: 295, iter: 109620/160000, loss: 0.0508, lr: 0.000019, batch_cost: 1.2392, reader_cost: 0.00021, ips: 1.6140 samples/sec | ETA 17:20:29 2021-08-23 03:39:02 [INFO] [TRAIN] epoch: 295, iter: 109630/160000, loss: 0.0621, lr: 0.000019, batch_cost: 1.2441, reader_cost: 0.00022, ips: 1.6076 samples/sec | ETA 17:24:24 2021-08-23 03:39:14 [INFO] [TRAIN] epoch: 295, iter: 109640/160000, loss: 0.0532, lr: 0.000019, batch_cost: 1.2228, reader_cost: 0.00022, ips: 1.6357 samples/sec | ETA 17:06:17 2021-08-23 03:39:27 [INFO] [TRAIN] epoch: 295, iter: 109650/160000, loss: 0.0669, lr: 0.000019, batch_cost: 1.2212, reader_cost: 0.00023, ips: 1.6377 samples/sec | ETA 17:04:47 2021-08-23 03:39:39 [INFO] [TRAIN] epoch: 295, iter: 109660/160000, loss: 0.0572, lr: 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[INFO] [TRAIN] epoch: 295, iter: 109720/160000, loss: 0.0579, lr: 0.000019, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6358 samples/sec | ETA 17:04:34 2021-08-23 03:41:05 [INFO] [TRAIN] epoch: 295, iter: 109730/160000, loss: 0.0620, lr: 0.000019, batch_cost: 1.2175, reader_cost: 0.00023, ips: 1.6427 samples/sec | ETA 17:00:02 2021-08-23 03:41:17 [INFO] [TRAIN] epoch: 295, iter: 109740/160000, loss: 0.0529, lr: 0.000019, batch_cost: 1.1843, reader_cost: 0.00016, ips: 1.6887 samples/sec | ETA 16:32:03 2021-08-23 03:41:32 [INFO] [TRAIN] epoch: 296, iter: 109750/160000, loss: 0.0498, lr: 0.000019, batch_cost: 1.4918, reader_cost: 0.22890, ips: 1.3406 samples/sec | ETA 20:49:25 2021-08-23 03:41:44 [INFO] [TRAIN] epoch: 296, iter: 109760/160000, loss: 0.0576, lr: 0.000019, batch_cost: 1.2295, reader_cost: 0.00073, ips: 1.6266 samples/sec | ETA 17:09:31 2021-08-23 03:41:56 [INFO] [TRAIN] epoch: 296, iter: 109770/160000, loss: 0.0486, lr: 0.000019, batch_cost: 1.2310, reader_cost: 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17:00:09 2021-08-23 03:47:51 [INFO] [TRAIN] epoch: 296, iter: 110060/160000, loss: 0.0495, lr: 0.000019, batch_cost: 1.2258, reader_cost: 0.00022, ips: 1.6316 samples/sec | ETA 17:00:17 2021-08-23 03:48:03 [INFO] [TRAIN] epoch: 296, iter: 110070/160000, loss: 0.0611, lr: 0.000019, batch_cost: 1.2255, reader_cost: 0.00023, ips: 1.6320 samples/sec | ETA 16:59:48 2021-08-23 03:48:16 [INFO] [TRAIN] epoch: 296, iter: 110080/160000, loss: 0.0669, lr: 0.000019, batch_cost: 1.2661, reader_cost: 0.00020, ips: 1.5797 samples/sec | ETA 17:33:23 2021-08-23 03:48:29 [INFO] [TRAIN] epoch: 296, iter: 110090/160000, loss: 0.0450, lr: 0.000019, batch_cost: 1.2381, reader_cost: 0.00021, ips: 1.6153 samples/sec | ETA 17:09:55 2021-08-23 03:48:41 [INFO] [TRAIN] epoch: 296, iter: 110100/160000, loss: 0.0545, lr: 0.000019, batch_cost: 1.2246, reader_cost: 0.00021, ips: 1.6332 samples/sec | ETA 16:58:28 2021-08-23 03:48:53 [INFO] [TRAIN] epoch: 296, iter: 110110/160000, loss: 0.0552, lr: 0.000019, batch_cost: 1.1820, reader_cost: 0.00016, ips: 1.6920 samples/sec | ETA 16:22:51 2021-08-23 03:49:08 [INFO] [TRAIN] epoch: 297, iter: 110120/160000, loss: 0.0589, lr: 0.000019, batch_cost: 1.5251, reader_cost: 0.20888, ips: 1.3114 samples/sec | ETA 21:07:52 2021-08-23 03:49:20 [INFO] [TRAIN] epoch: 297, iter: 110130/160000, loss: 0.0505, lr: 0.000019, batch_cost: 1.2299, reader_cost: 0.00077, ips: 1.6261 samples/sec | ETA 17:02:15 2021-08-23 03:49:32 [INFO] [TRAIN] epoch: 297, iter: 110140/160000, loss: 0.0498, lr: 0.000019, batch_cost: 1.2170, reader_cost: 0.00022, ips: 1.6434 samples/sec | ETA 16:51:17 2021-08-23 03:49:45 [INFO] [TRAIN] epoch: 297, iter: 110150/160000, loss: 0.0476, lr: 0.000019, batch_cost: 1.2254, reader_cost: 0.00021, ips: 1.6322 samples/sec | ETA 16:58:04 2021-08-23 03:49:57 [INFO] [TRAIN] epoch: 297, iter: 110160/160000, loss: 0.0524, lr: 0.000019, batch_cost: 1.2386, reader_cost: 0.00022, ips: 1.6148 samples/sec | ETA 17:08:49 2021-08-23 03:50:09 [INFO] [TRAIN] epoch: 297, iter: 110170/160000, loss: 0.0513, lr: 0.000019, batch_cost: 1.2204, reader_cost: 0.00021, ips: 1.6388 samples/sec | ETA 16:53:34 2021-08-23 03:50:22 [INFO] [TRAIN] epoch: 297, iter: 110180/160000, loss: 0.0540, lr: 0.000019, batch_cost: 1.2755, reader_cost: 0.00021, ips: 1.5680 samples/sec | ETA 17:39:07 2021-08-23 03:50:34 [INFO] [TRAIN] epoch: 297, iter: 110190/160000, loss: 0.0491, lr: 0.000019, batch_cost: 1.2154, reader_cost: 0.00022, ips: 1.6456 samples/sec | ETA 16:48:57 2021-08-23 03:50:46 [INFO] [TRAIN] epoch: 297, iter: 110200/160000, loss: 0.0544, lr: 0.000019, batch_cost: 1.2227, reader_cost: 0.00023, ips: 1.6357 samples/sec | ETA 16:54:50 2021-08-23 03:50:59 [INFO] [TRAIN] epoch: 297, iter: 110210/160000, loss: 0.0499, lr: 0.000019, batch_cost: 1.2441, reader_cost: 0.00021, ips: 1.6077 samples/sec | ETA 17:12:21 2021-08-23 03:51:11 [INFO] [TRAIN] epoch: 297, iter: 110220/160000, loss: 0.0645, lr: 0.000019, batch_cost: 1.2399, reader_cost: 0.00025, ips: 1.6130 samples/sec | ETA 17:08:44 2021-08-23 03:51:23 [INFO] [TRAIN] epoch: 297, iter: 110230/160000, loss: 0.0559, lr: 0.000019, batch_cost: 1.2189, reader_cost: 0.00021, ips: 1.6408 samples/sec | ETA 16:51:04 2021-08-23 03:51:36 [INFO] [TRAIN] epoch: 297, iter: 110240/160000, loss: 0.0641, lr: 0.000019, batch_cost: 1.2290, reader_cost: 0.00024, ips: 1.6273 samples/sec | ETA 16:59:15 2021-08-23 03:51:48 [INFO] [TRAIN] epoch: 297, iter: 110250/160000, loss: 0.0521, lr: 0.000019, batch_cost: 1.2402, reader_cost: 0.00023, ips: 1.6127 samples/sec | ETA 17:08:17 2021-08-23 03:52:00 [INFO] [TRAIN] epoch: 297, iter: 110260/160000, loss: 0.0578, lr: 0.000019, batch_cost: 1.2175, reader_cost: 0.00021, ips: 1.6427 samples/sec | ETA 16:49:19 2021-08-23 03:52:12 [INFO] [TRAIN] epoch: 297, iter: 110270/160000, loss: 0.0535, lr: 0.000019, batch_cost: 1.2194, reader_cost: 0.00022, ips: 1.6401 samples/sec | ETA 16:50:41 2021-08-23 03:52:25 [INFO] [TRAIN] epoch: 297, iter: 110280/160000, loss: 0.0409, lr: 0.000019, batch_cost: 1.2123, reader_cost: 0.00021, ips: 1.6498 samples/sec | ETA 16:44:35 2021-08-23 03:52:37 [INFO] [TRAIN] epoch: 297, iter: 110290/160000, loss: 0.0584, lr: 0.000019, batch_cost: 1.2311, reader_cost: 0.00024, ips: 1.6246 samples/sec | ETA 16:59:56 2021-08-23 03:52:49 [INFO] [TRAIN] epoch: 297, iter: 110300/160000, loss: 0.0388, lr: 0.000019, batch_cost: 1.2325, reader_cost: 0.00022, ips: 1.6227 samples/sec | ETA 17:00:54 2021-08-23 03:53:01 [INFO] [TRAIN] epoch: 297, iter: 110310/160000, loss: 0.0581, lr: 0.000019, batch_cost: 1.2318, reader_cost: 0.00022, ips: 1.6237 samples/sec | ETA 17:00:06 2021-08-23 03:53:14 [INFO] [TRAIN] epoch: 297, iter: 110320/160000, loss: 0.0515, lr: 0.000019, batch_cost: 1.2286, reader_cost: 0.00021, ips: 1.6279 samples/sec | ETA 16:57:17 2021-08-23 03:53:26 [INFO] [TRAIN] epoch: 297, iter: 110330/160000, loss: 0.0559, lr: 0.000019, batch_cost: 1.2288, reader_cost: 0.00022, ips: 1.6275 samples/sec | ETA 16:57:16 2021-08-23 03:53:38 [INFO] [TRAIN] epoch: 297, iter: 110340/160000, loss: 0.0627, lr: 0.000019, batch_cost: 1.2237, reader_cost: 0.00021, ips: 1.6344 samples/sec | ETA 16:52:47 2021-08-23 03:53:51 [INFO] [TRAIN] epoch: 297, iter: 110350/160000, loss: 0.0542, lr: 0.000019, batch_cost: 1.2260, reader_cost: 0.00021, ips: 1.6313 samples/sec | ETA 16:54:31 2021-08-23 03:54:03 [INFO] [TRAIN] epoch: 297, iter: 110360/160000, loss: 0.0495, lr: 0.000019, batch_cost: 1.2127, reader_cost: 0.00020, ips: 1.6492 samples/sec | ETA 16:43:19 2021-08-23 03:54:15 [INFO] [TRAIN] epoch: 297, iter: 110370/160000, loss: 0.0552, lr: 0.000019, batch_cost: 1.2216, reader_cost: 0.00021, ips: 1.6372 samples/sec | ETA 16:50:27 2021-08-23 03:54:27 [INFO] [TRAIN] epoch: 297, iter: 110380/160000, loss: 0.0515, lr: 0.000019, batch_cost: 1.2342, reader_cost: 0.00022, ips: 1.6205 samples/sec | ETA 17:00:41 2021-08-23 03:54:40 [INFO] [TRAIN] epoch: 297, iter: 110390/160000, loss: 0.0661, lr: 0.000019, batch_cost: 1.2473, reader_cost: 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loss: 0.0420, lr: 0.000019, batch_cost: 1.2337, reader_cost: 0.00023, ips: 1.6211 samples/sec | ETA 16:58:52 2021-08-23 03:56:05 [INFO] [TRAIN] epoch: 297, iter: 110460/160000, loss: 0.0521, lr: 0.000019, batch_cost: 1.2144, reader_cost: 0.00022, ips: 1.6469 samples/sec | ETA 16:42:43 2021-08-23 03:56:18 [INFO] [TRAIN] epoch: 297, iter: 110470/160000, loss: 0.0622, lr: 0.000019, batch_cost: 1.2133, reader_cost: 0.00022, ips: 1.6484 samples/sec | ETA 16:41:33 2021-08-23 03:56:30 [INFO] [TRAIN] epoch: 297, iter: 110480/160000, loss: 0.0518, lr: 0.000019, batch_cost: 1.1884, reader_cost: 0.00018, ips: 1.6829 samples/sec | ETA 16:20:49 2021-08-23 03:56:44 [INFO] [TRAIN] epoch: 298, iter: 110490/160000, loss: 0.0526, lr: 0.000019, batch_cost: 1.4879, reader_cost: 0.18700, ips: 1.3442 samples/sec | ETA 20:27:45 2021-08-23 03:56:57 [INFO] [TRAIN] epoch: 298, iter: 110500/160000, loss: 0.0610, lr: 0.000019, batch_cost: 1.2386, reader_cost: 0.00080, ips: 1.6148 samples/sec | ETA 17:01:48 2021-08-23 03:57:09 [INFO] [TRAIN] epoch: 298, iter: 110510/160000, loss: 0.0477, lr: 0.000019, batch_cost: 1.2372, reader_cost: 0.00023, ips: 1.6165 samples/sec | ETA 17:00:30 2021-08-23 03:57:21 [INFO] [TRAIN] epoch: 298, iter: 110520/160000, loss: 0.0491, lr: 0.000019, batch_cost: 1.2342, reader_cost: 0.00023, ips: 1.6205 samples/sec | ETA 16:57:47 2021-08-23 03:57:34 [INFO] [TRAIN] epoch: 298, iter: 110530/160000, loss: 0.0533, lr: 0.000019, batch_cost: 1.2323, reader_cost: 0.00021, ips: 1.6229 samples/sec | ETA 16:56:03 2021-08-23 03:57:46 [INFO] [TRAIN] epoch: 298, iter: 110540/160000, loss: 0.0535, lr: 0.000019, batch_cost: 1.2250, reader_cost: 0.00022, ips: 1.6327 samples/sec | ETA 16:49:47 2021-08-23 03:57:58 [INFO] [TRAIN] epoch: 298, iter: 110550/160000, loss: 0.0525, lr: 0.000019, batch_cost: 1.2144, reader_cost: 0.00020, ips: 1.6469 samples/sec | ETA 16:40:52 2021-08-23 03:58:10 [INFO] [TRAIN] epoch: 298, iter: 110560/160000, loss: 0.0545, lr: 0.000019, batch_cost: 1.2188, 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16:48:29 2021-08-23 04:00:38 [INFO] [TRAIN] epoch: 298, iter: 110680/160000, loss: 0.0599, lr: 0.000018, batch_cost: 1.2381, reader_cost: 0.00022, ips: 1.6154 samples/sec | ETA 16:57:43 2021-08-23 04:00:50 [INFO] [TRAIN] epoch: 298, iter: 110690/160000, loss: 0.0591, lr: 0.000018, batch_cost: 1.2274, reader_cost: 0.00021, ips: 1.6294 samples/sec | ETA 16:48:43 2021-08-23 04:01:02 [INFO] [TRAIN] epoch: 298, iter: 110700/160000, loss: 0.0465, lr: 0.000018, batch_cost: 1.2192, reader_cost: 0.00021, ips: 1.6404 samples/sec | ETA 16:41:47 2021-08-23 04:01:14 [INFO] [TRAIN] epoch: 298, iter: 110710/160000, loss: 0.0526, lr: 0.000018, batch_cost: 1.2224, reader_cost: 0.00021, ips: 1.6362 samples/sec | ETA 16:44:09 2021-08-23 04:01:27 [INFO] [TRAIN] epoch: 298, iter: 110720/160000, loss: 0.0448, lr: 0.000018, batch_cost: 1.2285, reader_cost: 0.00021, ips: 1.6280 samples/sec | ETA 16:49:02 2021-08-23 04:01:39 [INFO] [TRAIN] epoch: 298, iter: 110730/160000, loss: 0.0403, lr: 0.000018, 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epoch: 298, iter: 110790/160000, loss: 0.0451, lr: 0.000018, batch_cost: 1.2305, reader_cost: 0.00022, ips: 1.6253 samples/sec | ETA 16:49:14 2021-08-23 04:03:05 [INFO] [TRAIN] epoch: 298, iter: 110800/160000, loss: 0.0570, lr: 0.000018, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 16:43:01 2021-08-23 04:03:17 [INFO] [TRAIN] epoch: 298, iter: 110810/160000, loss: 0.0477, lr: 0.000018, batch_cost: 1.2173, reader_cost: 0.00021, ips: 1.6430 samples/sec | ETA 16:37:56 2021-08-23 04:03:29 [INFO] [TRAIN] epoch: 298, iter: 110820/160000, loss: 0.0431, lr: 0.000018, batch_cost: 1.2363, reader_cost: 0.00021, ips: 1.6177 samples/sec | ETA 16:53:20 2021-08-23 04:03:41 [INFO] [TRAIN] epoch: 298, iter: 110830/160000, loss: 0.0642, lr: 0.000018, batch_cost: 1.2159, reader_cost: 0.00021, ips: 1.6448 samples/sec | ETA 16:36:27 2021-08-23 04:03:54 [INFO] [TRAIN] epoch: 298, iter: 110840/160000, loss: 0.0454, lr: 0.000018, batch_cost: 1.2284, reader_cost: 0.00022, ips: 1.6281 samples/sec | ETA 16:46:29 2021-08-23 04:04:06 [INFO] [TRAIN] epoch: 298, iter: 110850/160000, loss: 0.0565, lr: 0.000018, batch_cost: 1.2002, reader_cost: 0.00019, ips: 1.6664 samples/sec | ETA 16:23:08 2021-08-23 04:04:20 [INFO] [TRAIN] epoch: 299, iter: 110860/160000, loss: 0.0721, lr: 0.000018, batch_cost: 1.4810, reader_cost: 0.21370, ips: 1.3505 samples/sec | ETA 20:12:54 2021-08-23 04:04:33 [INFO] [TRAIN] epoch: 299, iter: 110870/160000, loss: 0.0489, lr: 0.000018, batch_cost: 1.2294, reader_cost: 0.00077, ips: 1.6268 samples/sec | ETA 16:46:40 2021-08-23 04:04:45 [INFO] [TRAIN] epoch: 299, iter: 110880/160000, loss: 0.0480, lr: 0.000018, batch_cost: 1.2118, reader_cost: 0.00023, ips: 1.6504 samples/sec | ETA 16:32:03 2021-08-23 04:04:57 [INFO] [TRAIN] epoch: 299, iter: 110890/160000, loss: 0.0454, lr: 0.000018, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6378 samples/sec | ETA 16:39:31 2021-08-23 04:05:09 [INFO] [TRAIN] epoch: 299, iter: 110900/160000, loss: 0.0535, lr: 0.000018, batch_cost: 1.2265, reader_cost: 0.00021, ips: 1.6307 samples/sec | ETA 16:43:40 2021-08-23 04:05:22 [INFO] [TRAIN] epoch: 299, iter: 110910/160000, loss: 0.0542, lr: 0.000018, batch_cost: 1.2257, reader_cost: 0.00021, ips: 1.6318 samples/sec | ETA 16:42:48 2021-08-23 04:05:34 [INFO] [TRAIN] epoch: 299, iter: 110920/160000, loss: 0.0508, lr: 0.000018, batch_cost: 1.2228, reader_cost: 0.00021, ips: 1.6355 samples/sec | ETA 16:40:16 2021-08-23 04:05:46 [INFO] [TRAIN] epoch: 299, iter: 110930/160000, loss: 0.0539, lr: 0.000018, batch_cost: 1.2156, reader_cost: 0.00021, ips: 1.6452 samples/sec | ETA 16:34:11 2021-08-23 04:05:58 [INFO] [TRAIN] epoch: 299, iter: 110940/160000, loss: 0.0518, lr: 0.000018, batch_cost: 1.2342, reader_cost: 0.00023, ips: 1.6205 samples/sec | ETA 16:49:07 2021-08-23 04:06:11 [INFO] [TRAIN] epoch: 299, iter: 110950/160000, loss: 0.0508, lr: 0.000018, batch_cost: 1.2341, reader_cost: 0.00022, ips: 1.6207 samples/sec | ETA 16:48:50 2021-08-23 04:06:23 [INFO] [TRAIN] epoch: 299, iter: 110960/160000, loss: 0.0498, lr: 0.000018, batch_cost: 1.2333, reader_cost: 0.00022, ips: 1.6216 samples/sec | ETA 16:48:02 2021-08-23 04:06:36 [INFO] [TRAIN] epoch: 299, iter: 110970/160000, loss: 0.0525, lr: 0.000018, batch_cost: 1.2684, reader_cost: 0.00020, ips: 1.5768 samples/sec | ETA 17:16:28 2021-08-23 04:06:48 [INFO] [TRAIN] epoch: 299, iter: 110980/160000, loss: 0.0489, lr: 0.000018, batch_cost: 1.2280, reader_cost: 0.00020, ips: 1.6286 samples/sec | ETA 16:43:17 2021-08-23 04:07:00 [INFO] [TRAIN] epoch: 299, iter: 110990/160000, loss: 0.0446, lr: 0.000018, batch_cost: 1.2315, reader_cost: 0.00019, ips: 1.6240 samples/sec | ETA 16:45:57 2021-08-23 04:07:13 [INFO] [TRAIN] epoch: 299, iter: 111000/160000, loss: 0.0619, lr: 0.000018, batch_cost: 1.2431, reader_cost: 0.00020, ips: 1.6088 samples/sec | ETA 16:55:13 2021-08-23 04:07:25 [INFO] [TRAIN] epoch: 299, iter: 111010/160000, loss: 0.0487, lr: 0.000018, batch_cost: 1.2208, reader_cost: 0.00021, ips: 1.6383 samples/sec | ETA 16:36:44 2021-08-23 04:07:37 [INFO] [TRAIN] epoch: 299, iter: 111020/160000, loss: 0.0594, lr: 0.000018, batch_cost: 1.2028, reader_cost: 0.00020, ips: 1.6628 samples/sec | ETA 16:21:52 2021-08-23 04:07:49 [INFO] [TRAIN] epoch: 299, iter: 111030/160000, loss: 0.0476, lr: 0.000018, batch_cost: 1.2247, reader_cost: 0.00019, ips: 1.6331 samples/sec | ETA 16:39:32 2021-08-23 04:08:01 [INFO] [TRAIN] epoch: 299, iter: 111040/160000, loss: 0.0512, lr: 0.000018, batch_cost: 1.2219, reader_cost: 0.00020, ips: 1.6368 samples/sec | ETA 16:37:03 2021-08-23 04:08:14 [INFO] [TRAIN] epoch: 299, iter: 111050/160000, loss: 0.0551, lr: 0.000018, batch_cost: 1.2471, reader_cost: 0.00025, ips: 1.6038 samples/sec | ETA 16:57:23 2021-08-23 04:08:26 [INFO] [TRAIN] epoch: 299, iter: 111060/160000, loss: 0.0640, lr: 0.000018, batch_cost: 1.2178, reader_cost: 0.00020, ips: 1.6423 samples/sec | ETA 16:33:19 2021-08-23 04:08:38 [INFO] [TRAIN] epoch: 299, iter: 111070/160000, loss: 0.0569, lr: 0.000018, batch_cost: 1.2329, reader_cost: 0.00021, ips: 1.6222 samples/sec | ETA 16:45:25 2021-08-23 04:08:51 [INFO] [TRAIN] epoch: 299, iter: 111080/160000, loss: 0.0570, lr: 0.000018, batch_cost: 1.2159, reader_cost: 0.00022, ips: 1.6448 samples/sec | ETA 16:31:23 2021-08-23 04:09:03 [INFO] [TRAIN] epoch: 299, iter: 111090/160000, loss: 0.0510, lr: 0.000018, batch_cost: 1.2396, reader_cost: 0.00022, ips: 1.6134 samples/sec | ETA 16:50:31 2021-08-23 04:09:15 [INFO] [TRAIN] epoch: 299, iter: 111100/160000, loss: 0.0535, lr: 0.000018, batch_cost: 1.2213, reader_cost: 0.00022, ips: 1.6375 samples/sec | ETA 16:35:23 2021-08-23 04:09:27 [INFO] [TRAIN] epoch: 299, iter: 111110/160000, loss: 0.0560, lr: 0.000018, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 16:37:53 2021-08-23 04:09:40 [INFO] [TRAIN] epoch: 299, iter: 111120/160000, loss: 0.0605, lr: 0.000018, batch_cost: 1.2311, reader_cost: 0.00024, ips: 1.6245 samples/sec | ETA 16:42:57 2021-08-23 04:09:52 [INFO] [TRAIN] epoch: 299, iter: 111130/160000, loss: 0.0548, lr: 0.000018, batch_cost: 1.2193, reader_cost: 0.00021, ips: 1.6403 samples/sec | ETA 16:33:04 2021-08-23 04:10:04 [INFO] [TRAIN] epoch: 299, iter: 111140/160000, loss: 0.0616, lr: 0.000018, batch_cost: 1.2161, reader_cost: 0.00021, ips: 1.6447 samples/sec | ETA 16:30:16 2021-08-23 04:10:16 [INFO] [TRAIN] epoch: 299, iter: 111150/160000, loss: 0.0632, lr: 0.000018, batch_cost: 1.2190, reader_cost: 0.00022, ips: 1.6406 samples/sec | ETA 16:32:29 2021-08-23 04:10:28 [INFO] [TRAIN] epoch: 299, iter: 111160/160000, loss: 0.0595, lr: 0.000018, batch_cost: 1.2189, reader_cost: 0.00021, ips: 1.6408 samples/sec | ETA 16:32:12 2021-08-23 04:10:41 [INFO] [TRAIN] epoch: 299, iter: 111170/160000, loss: 0.0494, lr: 0.000018, batch_cost: 1.2277, reader_cost: 0.00020, ips: 1.6291 samples/sec | ETA 16:39:07 2021-08-23 04:10:53 [INFO] [TRAIN] epoch: 299, iter: 111180/160000, loss: 0.0483, lr: 0.000018, batch_cost: 1.2192, reader_cost: 0.00020, ips: 1.6404 samples/sec | ETA 16:32:01 2021-08-23 04:11:05 [INFO] [TRAIN] epoch: 299, iter: 111190/160000, loss: 0.0566, lr: 0.000018, batch_cost: 1.2308, reader_cost: 0.00020, ips: 1.6250 samples/sec | ETA 16:41:14 2021-08-23 04:11:17 [INFO] [TRAIN] epoch: 299, iter: 111200/160000, loss: 0.0555, lr: 0.000018, batch_cost: 1.2155, reader_cost: 0.00020, ips: 1.6455 samples/sec | ETA 16:28:34 2021-08-23 04:11:30 [INFO] [TRAIN] epoch: 299, iter: 111210/160000, loss: 0.0573, lr: 0.000018, batch_cost: 1.2271, reader_cost: 0.00019, ips: 1.6298 samples/sec | ETA 16:37:51 2021-08-23 04:11:42 [INFO] [TRAIN] epoch: 299, iter: 111220/160000, loss: 0.0430, lr: 0.000018, batch_cost: 1.2193, reader_cost: 0.00022, ips: 1.6403 samples/sec | ETA 16:31:15 2021-08-23 04:11:56 [INFO] [TRAIN] epoch: 300, iter: 111230/160000, loss: 0.0554, lr: 0.000018, batch_cost: 1.4652, reader_cost: 0.20822, ips: 1.3650 samples/sec | ETA 19:50:57 2021-08-23 04:12:09 [INFO] [TRAIN] epoch: 300, iter: 111240/160000, loss: 0.0551, lr: 0.000018, batch_cost: 1.2408, reader_cost: 0.00076, ips: 1.6118 samples/sec | ETA 16:48:23 2021-08-23 04:12:21 [INFO] [TRAIN] epoch: 300, iter: 111250/160000, loss: 0.0569, lr: 0.000018, batch_cost: 1.2263, reader_cost: 0.00022, ips: 1.6309 samples/sec | ETA 16:36:24 2021-08-23 04:12:34 [INFO] [TRAIN] epoch: 300, iter: 111260/160000, loss: 0.0552, lr: 0.000018, batch_cost: 1.2425, reader_cost: 0.00022, ips: 1.6097 samples/sec | ETA 16:49:17 2021-08-23 04:12:46 [INFO] [TRAIN] epoch: 300, iter: 111270/160000, loss: 0.0584, lr: 0.000018, batch_cost: 1.2273, reader_cost: 0.00021, ips: 1.6296 samples/sec | ETA 16:36:44 2021-08-23 04:12:58 [INFO] [TRAIN] epoch: 300, iter: 111280/160000, loss: 0.0372, lr: 0.000018, batch_cost: 1.2278, reader_cost: 0.00022, ips: 1.6289 samples/sec | ETA 16:37:00 2021-08-23 04:13:10 [INFO] [TRAIN] epoch: 300, iter: 111290/160000, loss: 0.0450, lr: 0.000018, batch_cost: 1.2263, reader_cost: 0.00022, ips: 1.6309 samples/sec | ETA 16:35:33 2021-08-23 04:13:23 [INFO] [TRAIN] epoch: 300, iter: 111300/160000, loss: 0.0618, lr: 0.000018, batch_cost: 1.2366, reader_cost: 0.00021, ips: 1.6174 samples/sec | ETA 16:43:40 2021-08-23 04:13:35 [INFO] [TRAIN] epoch: 300, iter: 111310/160000, loss: 0.0578, lr: 0.000018, batch_cost: 1.2334, reader_cost: 0.00022, ips: 1.6216 samples/sec | ETA 16:40:53 2021-08-23 04:13:47 [INFO] [TRAIN] epoch: 300, iter: 111320/160000, loss: 0.0599, lr: 0.000018, batch_cost: 1.2327, reader_cost: 0.00023, ips: 1.6224 samples/sec | ETA 16:40:08 2021-08-23 04:14:00 [INFO] [TRAIN] epoch: 300, iter: 111330/160000, loss: 0.0506, lr: 0.000018, batch_cost: 1.2385, reader_cost: 0.00022, ips: 1.6148 samples/sec | ETA 16:44:39 2021-08-23 04:14:12 [INFO] [TRAIN] epoch: 300, iter: 111340/160000, loss: 0.0528, lr: 0.000018, batch_cost: 1.2307, reader_cost: 0.00024, ips: 1.6251 samples/sec | ETA 16:38:06 2021-08-23 04:14:24 [INFO] [TRAIN] epoch: 300, iter: 111350/160000, loss: 0.0471, lr: 0.000018, batch_cost: 1.2224, reader_cost: 0.00024, ips: 1.6361 samples/sec | ETA 16:31:09 2021-08-23 04:14:37 [INFO] [TRAIN] epoch: 300, iter: 111360/160000, loss: 0.0483, lr: 0.000018, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6345 samples/sec | ETA 16:31:56 2021-08-23 04:14:49 [INFO] [TRAIN] epoch: 300, iter: 111370/160000, loss: 0.0558, lr: 0.000018, batch_cost: 1.2186, reader_cost: 0.00021, ips: 1.6412 samples/sec | ETA 16:27:42 2021-08-23 04:15:01 [INFO] [TRAIN] epoch: 300, iter: 111380/160000, loss: 0.0485, lr: 0.000018, batch_cost: 1.2458, reader_cost: 0.00022, ips: 1.6054 samples/sec | ETA 16:49:30 2021-08-23 04:15:13 [INFO] [TRAIN] epoch: 300, iter: 111390/160000, loss: 0.0522, lr: 0.000018, batch_cost: 1.2182, reader_cost: 0.00023, ips: 1.6418 samples/sec | ETA 16:26:55 2021-08-23 04:15:26 [INFO] [TRAIN] epoch: 300, iter: 111400/160000, loss: 0.0615, lr: 0.000018, batch_cost: 1.2400, reader_cost: 0.00022, ips: 1.6129 samples/sec | ETA 16:44:25 2021-08-23 04:15:38 [INFO] [TRAIN] epoch: 300, iter: 111410/160000, loss: 0.0530, lr: 0.000018, batch_cost: 1.2289, reader_cost: 0.00022, ips: 1.6275 samples/sec | ETA 16:35:11 2021-08-23 04:15:50 [INFO] [TRAIN] epoch: 300, iter: 111420/160000, loss: 0.0474, lr: 0.000018, batch_cost: 1.2312, reader_cost: 0.00023, ips: 1.6245 samples/sec | ETA 16:36:50 2021-08-23 04:16:03 [INFO] [TRAIN] epoch: 300, iter: 111430/160000, loss: 0.0564, lr: 0.000018, batch_cost: 1.2403, reader_cost: 0.00025, ips: 1.6125 samples/sec | ETA 16:44:00 2021-08-23 04:16:15 [INFO] [TRAIN] epoch: 300, iter: 111440/160000, loss: 0.0522, lr: 0.000018, batch_cost: 1.2429, reader_cost: 0.00021, ips: 1.6091 samples/sec | ETA 16:45:55 2021-08-23 04:16:28 [INFO] [TRAIN] epoch: 300, iter: 111450/160000, loss: 0.0573, lr: 0.000018, batch_cost: 1.2420, reader_cost: 0.00022, ips: 1.6103 samples/sec | ETA 16:44:59 2021-08-23 04:16:40 [INFO] [TRAIN] epoch: 300, iter: 111460/160000, loss: 0.0593, lr: 0.000018, batch_cost: 1.2416, reader_cost: 0.00022, ips: 1.6108 samples/sec | ETA 16:44:28 2021-08-23 04:16:52 [INFO] [TRAIN] epoch: 300, iter: 111470/160000, loss: 0.0560, lr: 0.000018, batch_cost: 1.2293, reader_cost: 0.00021, ips: 1.6270 samples/sec | ETA 16:34:16 2021-08-23 04:17:05 [INFO] [TRAIN] epoch: 300, iter: 111480/160000, loss: 0.0472, lr: 0.000018, batch_cost: 1.2287, reader_cost: 0.00024, ips: 1.6278 samples/sec | ETA 16:33:34 2021-08-23 04:17:17 [INFO] [TRAIN] epoch: 300, iter: 111490/160000, loss: 0.0511, lr: 0.000018, batch_cost: 1.2131, reader_cost: 0.00022, ips: 1.6487 samples/sec | ETA 16:20:46 2021-08-23 04:17:29 [INFO] [TRAIN] epoch: 300, iter: 111500/160000, loss: 0.0550, lr: 0.000018, batch_cost: 1.2362, reader_cost: 0.00021, ips: 1.6179 samples/sec | ETA 16:39:15 2021-08-23 04:17:41 [INFO] [TRAIN] epoch: 300, iter: 111510/160000, loss: 0.0548, lr: 0.000018, batch_cost: 1.2227, reader_cost: 0.00021, ips: 1.6357 samples/sec | ETA 16:28:10 2021-08-23 04:17:54 [INFO] [TRAIN] epoch: 300, iter: 111520/160000, loss: 0.0635, lr: 0.000018, batch_cost: 1.2290, reader_cost: 0.00022, ips: 1.6273 samples/sec | ETA 16:33:02 2021-08-23 04:18:06 [INFO] [TRAIN] epoch: 300, iter: 111530/160000, loss: 0.0546, lr: 0.000018, batch_cost: 1.2222, reader_cost: 0.00021, ips: 1.6364 samples/sec | ETA 16:27:20 2021-08-23 04:18:18 [INFO] [TRAIN] epoch: 300, iter: 111540/160000, loss: 0.0580, lr: 0.000018, batch_cost: 1.2315, reader_cost: 0.00022, ips: 1.6241 samples/sec | ETA 16:34:36 2021-08-23 04:18:30 [INFO] [TRAIN] epoch: 300, iter: 111550/160000, loss: 0.0424, lr: 0.000018, batch_cost: 1.2203, reader_cost: 0.00023, ips: 1.6390 samples/sec | ETA 16:25:21 2021-08-23 04:18:43 [INFO] [TRAIN] epoch: 300, iter: 111560/160000, loss: 0.0582, lr: 0.000018, batch_cost: 1.2255, reader_cost: 0.00022, ips: 1.6320 samples/sec | ETA 16:29:23 2021-08-23 04:18:55 [INFO] [TRAIN] epoch: 300, iter: 111570/160000, loss: 0.0536, lr: 0.000018, batch_cost: 1.2273, reader_cost: 0.00022, ips: 1.6297 samples/sec | ETA 16:30:35 2021-08-23 04:19:07 [INFO] [TRAIN] epoch: 300, iter: 111580/160000, loss: 0.0490, lr: 0.000018, batch_cost: 1.2262, reader_cost: 0.00022, ips: 1.6311 samples/sec | ETA 16:29:30 2021-08-23 04:19:19 [INFO] [TRAIN] epoch: 300, iter: 111590/160000, loss: 0.0448, lr: 0.000018, batch_cost: 1.2145, reader_cost: 0.00020, ips: 1.6468 samples/sec | ETA 16:19:53 2021-08-23 04:19:31 [INFO] [TRAIN] epoch: 300, iter: 111600/160000, loss: 0.0547, lr: 0.000018, batch_cost: 1.2015, reader_cost: 0.00015, ips: 1.6645 samples/sec | ETA 16:09:14 2021-08-23 04:19:46 [INFO] [TRAIN] epoch: 301, iter: 111610/160000, loss: 0.0529, lr: 0.000018, batch_cost: 1.5109, reader_cost: 0.21337, ips: 1.3237 samples/sec | ETA 20:18:33 2021-08-23 04:19:59 [INFO] [TRAIN] epoch: 301, iter: 111620/160000, loss: 0.0576, lr: 0.000018, batch_cost: 1.2431, reader_cost: 0.00080, ips: 1.6089 samples/sec | ETA 16:42:21 2021-08-23 04:20:11 [INFO] [TRAIN] epoch: 301, iter: 111630/160000, loss: 0.0551, lr: 0.000018, batch_cost: 1.2079, reader_cost: 0.00023, ips: 1.6558 samples/sec | ETA 16:13:46 2021-08-23 04:20:23 [INFO] [TRAIN] epoch: 301, iter: 111640/160000, loss: 0.0534, lr: 0.000018, batch_cost: 1.2179, reader_cost: 0.00022, ips: 1.6422 samples/sec | ETA 16:21:37 2021-08-23 04:20:35 [INFO] [TRAIN] epoch: 301, iter: 111650/160000, loss: 0.0497, lr: 0.000018, batch_cost: 1.2100, reader_cost: 0.00024, ips: 1.6529 samples/sec | ETA 16:15:01 2021-08-23 04:20:48 [INFO] [TRAIN] epoch: 301, iter: 111660/160000, loss: 0.0564, lr: 0.000018, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6255 samples/sec | ETA 16:31:15 2021-08-23 04:21:00 [INFO] [TRAIN] epoch: 301, iter: 111670/160000, loss: 0.0615, lr: 0.000018, batch_cost: 1.2262, reader_cost: 0.00023, ips: 1.6311 samples/sec | ETA 16:27:42 2021-08-23 04:21:12 [INFO] [TRAIN] epoch: 301, iter: 111680/160000, loss: 0.0462, lr: 0.000018, batch_cost: 1.2242, reader_cost: 0.00021, ips: 1.6338 samples/sec | ETA 16:25:51 2021-08-23 04:21:24 [INFO] [TRAIN] epoch: 301, iter: 111690/160000, loss: 0.0575, lr: 0.000018, batch_cost: 1.2235, reader_cost: 0.00023, ips: 1.6347 samples/sec | ETA 16:25:04 2021-08-23 04:21:37 [INFO] [TRAIN] epoch: 301, iter: 111700/160000, loss: 0.0573, lr: 0.000018, batch_cost: 1.2273, reader_cost: 0.00023, ips: 1.6296 samples/sec | ETA 16:27:58 2021-08-23 04:21:49 [INFO] [TRAIN] epoch: 301, iter: 111710/160000, loss: 0.0686, lr: 0.000018, batch_cost: 1.2220, reader_cost: 0.00023, ips: 1.6367 samples/sec | ETA 16:23:28 2021-08-23 04:22:01 [INFO] [TRAIN] epoch: 301, iter: 111720/160000, loss: 0.0530, lr: 0.000018, batch_cost: 1.2357, reader_cost: 0.00023, ips: 1.6186 samples/sec | ETA 16:34:17 2021-08-23 04:22:13 [INFO] [TRAIN] epoch: 301, iter: 111730/160000, loss: 0.0507, lr: 0.000018, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6389 samples/sec | ETA 16:21:45 2021-08-23 04:22:26 [INFO] [TRAIN] epoch: 301, iter: 111740/160000, loss: 0.0557, lr: 0.000018, batch_cost: 1.2402, reader_cost: 0.00023, ips: 1.6127 samples/sec | ETA 16:37:30 2021-08-23 04:22:38 [INFO] [TRAIN] epoch: 301, iter: 111750/160000, loss: 0.0576, lr: 0.000018, batch_cost: 1.2454, reader_cost: 0.00021, ips: 1.6059 samples/sec | ETA 16:41:31 2021-08-23 04:22:50 [INFO] [TRAIN] epoch: 301, iter: 111760/160000, loss: 0.0604, lr: 0.000018, batch_cost: 1.2255, reader_cost: 0.00021, ips: 1.6320 samples/sec | ETA 16:25:18 2021-08-23 04:23:03 [INFO] [TRAIN] epoch: 301, iter: 111770/160000, loss: 0.0559, lr: 0.000018, batch_cost: 1.2348, reader_cost: 0.00023, ips: 1.6197 samples/sec | ETA 16:32:35 2021-08-23 04:23:15 [INFO] [TRAIN] epoch: 301, iter: 111780/160000, loss: 0.0498, lr: 0.000018, batch_cost: 1.2137, reader_cost: 0.00021, ips: 1.6478 samples/sec | ETA 16:15:25 2021-08-23 04:23:27 [INFO] [TRAIN] epoch: 301, iter: 111790/160000, loss: 0.0606, lr: 0.000018, batch_cost: 1.2111, reader_cost: 0.00021, ips: 1.6514 samples/sec | ETA 16:13:08 2021-08-23 04:23:39 [INFO] [TRAIN] epoch: 301, iter: 111800/160000, loss: 0.0569, lr: 0.000018, batch_cost: 1.2067, reader_cost: 0.00021, ips: 1.6575 samples/sec | ETA 16:09:20 2021-08-23 04:23:51 [INFO] [TRAIN] epoch: 301, iter: 111810/160000, loss: 0.0497, lr: 0.000018, batch_cost: 1.2241, reader_cost: 0.00020, ips: 1.6338 samples/sec | ETA 16:23:09 2021-08-23 04:24:04 [INFO] [TRAIN] epoch: 301, iter: 111820/160000, loss: 0.0520, lr: 0.000018, batch_cost: 1.2177, reader_cost: 0.00020, ips: 1.6425 samples/sec | ETA 16:17:47 2021-08-23 04:24:16 [INFO] [TRAIN] epoch: 301, iter: 111830/160000, loss: 0.0585, lr: 0.000018, batch_cost: 1.2231, reader_cost: 0.00021, ips: 1.6352 samples/sec | ETA 16:21:56 2021-08-23 04:24:28 [INFO] [TRAIN] epoch: 301, iter: 111840/160000, loss: 0.0616, lr: 0.000018, batch_cost: 1.2096, reader_cost: 0.00020, ips: 1.6535 samples/sec | ETA 16:10:53 2021-08-23 04:24:40 [INFO] [TRAIN] epoch: 301, iter: 111850/160000, loss: 0.0601, lr: 0.000018, batch_cost: 1.2276, reader_cost: 0.00021, ips: 1.6292 samples/sec | ETA 16:25:08 2021-08-23 04:24:52 [INFO] [TRAIN] epoch: 301, iter: 111860/160000, loss: 0.0577, lr: 0.000018, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6346 samples/sec | ETA 16:21:42 2021-08-23 04:25:05 [INFO] [TRAIN] epoch: 301, iter: 111870/160000, loss: 0.0612, lr: 0.000018, batch_cost: 1.2341, reader_cost: 0.00024, ips: 1.6206 samples/sec | ETA 16:29:58 2021-08-23 04:25:17 [INFO] [TRAIN] epoch: 301, iter: 111880/160000, loss: 0.0569, lr: 0.000018, batch_cost: 1.2261, reader_cost: 0.00021, ips: 1.6312 samples/sec | ETA 16:23:20 2021-08-23 04:25:29 [INFO] [TRAIN] epoch: 301, iter: 111890/160000, loss: 0.0513, lr: 0.000018, batch_cost: 1.2062, reader_cost: 0.00021, ips: 1.6582 samples/sec | ETA 16:07:08 2021-08-23 04:25:41 [INFO] [TRAIN] epoch: 301, iter: 111900/160000, loss: 0.0495, lr: 0.000018, batch_cost: 1.2190, reader_cost: 0.00021, ips: 1.6407 samples/sec | ETA 16:17:14 2021-08-23 04:25:54 [INFO] [TRAIN] epoch: 301, iter: 111910/160000, loss: 0.0546, lr: 0.000018, batch_cost: 1.2518, reader_cost: 0.00022, ips: 1.5977 samples/sec | ETA 16:43:20 2021-08-23 04:26:06 [INFO] [TRAIN] epoch: 301, iter: 111920/160000, loss: 0.0551, lr: 0.000018, batch_cost: 1.2228, reader_cost: 0.00022, ips: 1.6356 samples/sec | ETA 16:19:50 2021-08-23 04:26:18 [INFO] [TRAIN] epoch: 301, iter: 111930/160000, loss: 0.0534, lr: 0.000018, batch_cost: 1.2202, reader_cost: 0.00021, ips: 1.6390 samples/sec | ETA 16:17:37 2021-08-23 04:26:30 [INFO] [TRAIN] epoch: 301, iter: 111940/160000, loss: 0.0503, lr: 0.000018, batch_cost: 1.2201, reader_cost: 0.00021, ips: 1.6392 samples/sec | ETA 16:17:19 2021-08-23 04:26:43 [INFO] [TRAIN] epoch: 301, iter: 111950/160000, loss: 0.0514, lr: 0.000018, batch_cost: 1.2250, reader_cost: 0.00020, ips: 1.6326 samples/sec | ETA 16:21:01 2021-08-23 04:26:55 [INFO] [TRAIN] epoch: 301, iter: 111960/160000, loss: 0.0626, lr: 0.000018, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6340 samples/sec | ETA 16:20:00 2021-08-23 04:27:07 [INFO] [TRAIN] epoch: 301, iter: 111970/160000, loss: 0.0465, lr: 0.000018, batch_cost: 1.1844, reader_cost: 0.00018, ips: 1.6886 samples/sec | ETA 15:48:08 2021-08-23 04:27:22 [INFO] [TRAIN] epoch: 302, iter: 111980/160000, loss: 0.0530, lr: 0.000018, batch_cost: 1.4834, reader_cost: 0.21973, ips: 1.3483 samples/sec | ETA 19:47:12 2021-08-23 04:27:34 [INFO] [TRAIN] epoch: 302, iter: 111990/160000, loss: 0.0537, lr: 0.000018, batch_cost: 1.2304, reader_cost: 0.00074, ips: 1.6255 samples/sec | ETA 16:24:30 2021-08-23 04:27:46 [INFO] [TRAIN] epoch: 302, iter: 112000/160000, loss: 0.0463, lr: 0.000018, batch_cost: 1.2052, reader_cost: 0.00021, ips: 1.6595 samples/sec | ETA 16:04:07 2021-08-23 04:27:46 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:41 - batch_cost: 3.7250 - reader cost: 0.4570 2/125 [..............................] - ETA: 6:00 - batch_cost: 2.9286 - reader cost: 0.2286 3/125 [..............................] - ETA: 5:20 - batch_cost: 2.6255 - reader cost: 0.1525 4/125 [..............................] - ETA: 4:58 - batch_cost: 2.4644 - reader cost: 0.1144 5/125 [>.............................] - ETA: 4:43 - batch_cost: 2.3640 - reader cost: 0.0916 6/125 [>.............................] - ETA: 4:34 - batch_cost: 2.3056 - reader cost: 0.0763 7/125 [>.............................] - ETA: 4:25 - batch_cost: 2.2534 - reader cost: 0.0655 8/125 [>.............................] - ETA: 4:19 - batch_cost: 2.2199 - reader cost: 0.0573 9/125 [=>............................] - ETA: 4:14 - batch_cost: 2.1967 - reader cost: 0.0509 10/125 [=>............................] - ETA: 4:10 - batch_cost: 2.1794 - reader cost: 0.0459 11/125 [=>............................] - ETA: 4:06 - batch_cost: 2.1622 - reader cost: 0.0417 12/125 [=>............................] - ETA: 4:02 - batch_cost: 2.1490 - reader cost: 0.0383 13/125 [==>...........................] - ETA: 3:59 - batch_cost: 2.1372 - reader cost: 0.0353 14/125 [==>...........................] - ETA: 3:56 - batch_cost: 2.1301 - reader cost: 0.0328 15/125 [==>...........................] - ETA: 3:54 - batch_cost: 2.1303 - reader cost: 0.0307 16/125 [==>...........................] - ETA: 3:52 - batch_cost: 2.1282 - reader cost: 0.0287 17/125 [===>..........................] - ETA: 3:49 - batch_cost: 2.1235 - reader cost: 0.0271 18/125 [===>..........................] - ETA: 3:47 - batch_cost: 2.1220 - reader cost: 0.0256 19/125 [===>..........................] - ETA: 3:44 - batch_cost: 2.1189 - reader cost: 0.0242 20/125 [===>..........................] - ETA: 3:42 - batch_cost: 2.1172 - reader cost: 0.0230 21/125 [====>.........................] - ETA: 3:40 - batch_cost: 2.1187 - reader cost: 0.0219 22/125 [====>.........................] - ETA: 3:38 - batch_cost: 2.1207 - reader cost: 0.0210 23/125 [====>.........................] - ETA: 3:36 - batch_cost: 2.1222 - reader cost: 0.0201 24/125 [====>.........................] - ETA: 3:34 - batch_cost: 2.1201 - reader cost: 0.0192 25/125 [=====>........................] - ETA: 3:31 - batch_cost: 2.1191 - reader cost: 0.0185 26/125 [=====>........................] - ETA: 3:29 - batch_cost: 2.1176 - reader cost: 0.0178 27/125 [=====>........................] - ETA: 3:27 - batch_cost: 2.1168 - reader cost: 0.0171 28/125 [=====>........................] - ETA: 3:25 - batch_cost: 2.1157 - reader cost: 0.0165 29/125 [=====>........................] - ETA: 3:23 - batch_cost: 2.1153 - reader cost: 0.0159 30/125 [======>.......................] - ETA: 3:20 - batch_cost: 2.1143 - reader cost: 0.0154 31/125 [======>.......................] - ETA: 3:18 - batch_cost: 2.1132 - reader cost: 0.0149 32/125 [======>.......................] - ETA: 3:16 - batch_cost: 2.1116 - reader cost: 0.0145 33/125 [======>.......................] - ETA: 3:14 - batch_cost: 2.1110 - reader cost: 0.0140 34/125 [=======>......................] - ETA: 3:12 - batch_cost: 2.1105 - reader cost: 0.0136 35/125 [=======>......................] - ETA: 3:10 - batch_cost: 2.1108 - reader cost: 0.0132 36/125 [=======>......................] - ETA: 3:07 - batch_cost: 2.1111 - reader cost: 0.0129 37/125 [=======>......................] - ETA: 3:05 - batch_cost: 2.1112 - reader cost: 0.0125 38/125 [========>.....................] - ETA: 3:03 - batch_cost: 2.1102 - reader cost: 0.0122 39/125 [========>.....................] - ETA: 3:01 - batch_cost: 2.1084 - reader cost: 0.0119 40/125 [========>.....................] - ETA: 2:59 - batch_cost: 2.1066 - reader cost: 0.0116 41/125 [========>.....................] - ETA: 2:56 - batch_cost: 2.1045 - reader cost: 0.0113 42/125 [=========>....................] - ETA: 2:54 - batch_cost: 2.1051 - reader cost: 0.0111 43/125 [=========>....................] - ETA: 2:52 - batch_cost: 2.1041 - reader cost: 0.0108 44/125 [=========>....................] - ETA: 2:50 - batch_cost: 2.1037 - reader cost: 0.0106 45/125 [=========>....................] - ETA: 2:48 - batch_cost: 2.1023 - reader cost: 0.0103 46/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1022 - reader cost: 0.0101 47/125 [==========>...................] - ETA: 2:43 - batch_cost: 2.1015 - reader cost: 0.0099 48/125 [==========>...................] - ETA: 2:41 - batch_cost: 2.1009 - reader cost: 0.0097 49/125 [==========>...................] - ETA: 2:39 - batch_cost: 2.1000 - reader cost: 0.0095 50/125 [===========>..................] - ETA: 2:37 - batch_cost: 2.0997 - reader cost: 0.0093 51/125 [===========>..................] - ETA: 2:35 - batch_cost: 2.0991 - reader cost: 0.0092 52/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.0990 - reader cost: 0.0090 53/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.0987 - reader cost: 0.0088 54/125 [===========>..................] - ETA: 2:28 - batch_cost: 2.0979 - reader cost: 0.0087 55/125 [============>.................] - ETA: 2:26 - batch_cost: 2.0978 - reader cost: 0.0085 56/125 [============>.................] - ETA: 2:24 - batch_cost: 2.0968 - reader cost: 0.0084 57/125 [============>.................] - ETA: 2:22 - batch_cost: 2.0973 - reader cost: 0.0082 58/125 [============>.................] - ETA: 2:20 - batch_cost: 2.0976 - reader cost: 0.0081 59/125 [=============>................] - ETA: 2:18 - batch_cost: 2.0971 - reader cost: 0.0079 60/125 [=============>................] - ETA: 2:16 - batch_cost: 2.0975 - reader cost: 0.0078 61/125 [=============>................] - ETA: 2:14 - batch_cost: 2.0966 - reader cost: 0.0077 62/125 [=============>................] - ETA: 2:12 - batch_cost: 2.0961 - reader cost: 0.0076 63/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.0963 - reader cost: 0.0074 64/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.0958 - reader cost: 0.0073 65/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.0964 - reader cost: 0.0072 66/125 [==============>...............] - ETA: 2:03 - batch_cost: 2.0956 - reader cost: 0.0071 67/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.0958 - reader cost: 0.0070 68/125 [===============>..............] - ETA: 1:59 - batch_cost: 2.0955 - reader cost: 0.0069 69/125 [===============>..............] - ETA: 1:57 - batch_cost: 2.0960 - reader cost: 0.0068 70/125 [===============>..............] - ETA: 1:55 - batch_cost: 2.0959 - reader cost: 0.0067 71/125 [================>.............] - ETA: 1:53 - batch_cost: 2.0960 - reader cost: 0.0066 72/125 [================>.............] - ETA: 1:51 - batch_cost: 2.0964 - reader cost: 0.0065 73/125 [================>.............] - ETA: 1:49 - batch_cost: 2.0969 - reader cost: 0.0065 74/125 [================>.............] - ETA: 1:46 - batch_cost: 2.0970 - reader cost: 0.0064 75/125 [=================>............] - ETA: 1:44 - batch_cost: 2.0970 - reader cost: 0.0063 76/125 [=================>............] - ETA: 1:42 - batch_cost: 2.0971 - reader cost: 0.0062 77/125 [=================>............] - ETA: 1:40 - batch_cost: 2.0971 - reader cost: 0.0061 78/125 [=================>............] - ETA: 1:38 - batch_cost: 2.0969 - reader cost: 0.0060 79/125 [=================>............] - ETA: 1:36 - batch_cost: 2.0973 - reader cost: 0.0060 80/125 [==================>...........] - ETA: 1:34 - batch_cost: 2.0973 - reader cost: 0.0059 81/125 [==================>...........] - ETA: 1:32 - batch_cost: 2.0974 - reader cost: 0.0058 82/125 [==================>...........] - ETA: 1:30 - batch_cost: 2.0973 - reader cost: 0.0058 83/125 [==================>...........] - ETA: 1:28 - batch_cost: 2.0978 - reader cost: 0.0057 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.0979 - reader cost: 0.0056 85/125 [===================>..........] - ETA: 1:23 - batch_cost: 2.0980 - reader cost: 0.0056 86/125 [===================>..........] - ETA: 1:21 - batch_cost: 2.0982 - reader cost: 0.0055 87/125 [===================>..........] - ETA: 1:19 - batch_cost: 2.0978 - reader cost: 0.0054 88/125 [====================>.........] - ETA: 1:17 - batch_cost: 2.0971 - reader cost: 0.0054 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.0965 - reader cost: 0.0053 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.0964 - reader cost: 0.0053 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.0962 - reader cost: 0.0052 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.0957 - reader cost: 0.0052 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.0954 - reader cost: 0.0051 94/125 [=====================>........] - ETA: 1:04 - batch_cost: 2.0953 - reader cost: 0.0051 95/125 [=====================>........] - ETA: 1:02 - batch_cost: 2.0949 - reader cost: 0.0050 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.0948 - reader cost: 0.0049 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.0945 - reader cost: 0.0049  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.0945 - reader cost: 0.0049 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.0943 - reader cost: 0.0048 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.0939 - reader cost: 0.0048 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.0936 - reader cost: 0.0047 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.0933 - reader cost: 0.0047 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.0928 - reader cost: 0.0046 104/125 [=======================>......] - ETA: 43s - batch_cost: 2.0921 - reader cost: 0.0046 105/125 [========================>.....] - ETA: 41s - batch_cost: 2.0913 - reader cost: 0.0045 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.0912 - reader cost: 0.0045 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.0913 - reader cost: 0.0045 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.0915 - reader cost: 0.0044 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.0915 - reader cost: 0.0044 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.0913 - reader cost: 0.0043 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.0915 - reader cost: 0.0043 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.0918 - reader cost: 0.0043 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.0917 - reader cost: 0.0042 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.0919 - reader cost: 0.0042 115/125 [==========================>...] - ETA: 20s - batch_cost: 2.0919 - reader cost: 0.0042 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.0921 - reader cost: 0.0041 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.0925 - reader cost: 0.0041 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.0926 - reader cost: 0.0041 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0929 - reader cost: 0.0040 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0929 - reader cost: 0.0040 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0933 - reader cost: 0.0040  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0927 - reader cost: 0.0039 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0938 - reader cost: 0.0039 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0933 - reader cost: 0.0039 125/125 [==============================] - 262s 2s/step - batch_cost: 2.0932 - reader cost: 0.0038 2021-08-23 04:32:08 [INFO] [EVAL] #Images: 500 mIoU: 0.8205 Acc: 0.9671 Kappa: 0.9573 2021-08-23 04:32:08 [INFO] [EVAL] Class IoU: [0.9845 0.8742 0.9366 0.651 0.6674 0.6996 0.7576 0.8244 0.9319 0.6619 0.9561 0.849 0.6743 0.9594 0.871 0.9111 0.8667 0.7152 0.798 ] 2021-08-23 04:32:08 [INFO] [EVAL] Class Acc: [0.9925 0.93 0.9651 0.8741 0.8728 0.8431 0.8671 0.9177 0.9576 0.8528 0.9747 0.9114 0.8049 0.9761 0.9668 0.9556 0.9675 0.8348 0.8699] 2021-08-23 04:32:10 [INFO] [EVAL] The model with the best validation mIoU (0.8229) was saved at iter 100000. 2021-08-23 04:32:23 [INFO] [TRAIN] epoch: 302, iter: 112010/160000, loss: 0.0588, lr: 0.000018, batch_cost: 1.2289, reader_cost: 0.00078, ips: 1.6275 samples/sec | ETA 16:22:55 2021-08-23 04:32:35 [INFO] [TRAIN] epoch: 302, iter: 112020/160000, loss: 0.0603, lr: 0.000018, batch_cost: 1.2324, reader_cost: 0.00021, ips: 1.6229 samples/sec | ETA 16:25:28 2021-08-23 04:32:47 [INFO] [TRAIN] epoch: 302, iter: 112030/160000, loss: 0.0442, lr: 0.000018, batch_cost: 1.2182, reader_cost: 0.00023, ips: 1.6417 samples/sec | ETA 16:13:59 2021-08-23 04:32:59 [INFO] [TRAIN] epoch: 302, iter: 112040/160000, loss: 0.0610, lr: 0.000018, batch_cost: 1.2189, reader_cost: 0.00022, ips: 1.6409 samples/sec | ETA 16:14:16 2021-08-23 04:33:11 [INFO] [TRAIN] epoch: 302, iter: 112050/160000, loss: 0.0586, lr: 0.000018, batch_cost: 1.2116, reader_cost: 0.00022, ips: 1.6507 samples/sec | ETA 16:08:18 2021-08-23 04:33:24 [INFO] [TRAIN] epoch: 302, iter: 112060/160000, loss: 0.0485, lr: 0.000018, batch_cost: 1.2130, reader_cost: 0.00021, ips: 1.6488 samples/sec | ETA 16:09:10 2021-08-23 04:33:36 [INFO] [TRAIN] epoch: 302, iter: 112070/160000, loss: 0.0476, lr: 0.000018, batch_cost: 1.2283, reader_cost: 0.00021, ips: 1.6283 samples/sec | ETA 16:21:10 2021-08-23 04:33:48 [INFO] [TRAIN] epoch: 302, iter: 112080/160000, loss: 0.0437, lr: 0.000018, batch_cost: 1.2306, reader_cost: 0.00020, ips: 1.6252 samples/sec | ETA 16:22:52 2021-08-23 04:34:00 [INFO] [TRAIN] epoch: 302, iter: 112090/160000, loss: 0.0593, lr: 0.000018, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6329 samples/sec | ETA 16:18:00 2021-08-23 04:34:13 [INFO] [TRAIN] epoch: 302, iter: 112100/160000, loss: 0.0565, lr: 0.000018, batch_cost: 1.2182, reader_cost: 0.00022, ips: 1.6418 samples/sec | ETA 16:12:30 2021-08-23 04:34:25 [INFO] [TRAIN] epoch: 302, iter: 112110/160000, loss: 0.0512, lr: 0.000018, batch_cost: 1.2312, reader_cost: 0.00021, ips: 1.6244 samples/sec | ETA 16:22:41 2021-08-23 04:34:37 [INFO] [TRAIN] epoch: 302, iter: 112120/160000, loss: 0.0450, lr: 0.000018, batch_cost: 1.2298, reader_cost: 0.00020, ips: 1.6263 samples/sec | ETA 16:21:21 2021-08-23 04:34:49 [INFO] [TRAIN] epoch: 302, iter: 112130/160000, loss: 0.0611, lr: 0.000018, batch_cost: 1.2203, reader_cost: 0.00022, ips: 1.6389 samples/sec | ETA 16:13:37 2021-08-23 04:35:02 [INFO] [TRAIN] epoch: 302, iter: 112140/160000, loss: 0.0496, lr: 0.000018, batch_cost: 1.2496, reader_cost: 0.00023, ips: 1.6005 samples/sec | ETA 16:36:47 2021-08-23 04:35:14 [INFO] [TRAIN] epoch: 302, iter: 112150/160000, loss: 0.0460, lr: 0.000018, batch_cost: 1.2292, reader_cost: 0.00022, ips: 1.6271 samples/sec | ETA 16:20:14 2021-08-23 04:35:26 [INFO] [TRAIN] epoch: 302, iter: 112160/160000, loss: 0.0503, lr: 0.000018, batch_cost: 1.2203, reader_cost: 0.00023, ips: 1.6389 samples/sec | ETA 16:12:59 2021-08-23 04:35:39 [INFO] [TRAIN] epoch: 302, iter: 112170/160000, loss: 0.0475, lr: 0.000018, batch_cost: 1.2146, reader_cost: 0.00020, ips: 1.6466 samples/sec | ETA 16:08:16 2021-08-23 04:35:51 [INFO] [TRAIN] epoch: 302, iter: 112180/160000, loss: 0.0444, lr: 0.000018, batch_cost: 1.2178, reader_cost: 0.00021, ips: 1.6423 samples/sec | ETA 16:10:35 2021-08-23 04:36:03 [INFO] [TRAIN] epoch: 302, iter: 112190/160000, loss: 0.0526, lr: 0.000018, batch_cost: 1.2277, reader_cost: 0.00022, ips: 1.6290 samples/sec | ETA 16:18:17 2021-08-23 04:36:15 [INFO] [TRAIN] epoch: 302, iter: 112200/160000, loss: 0.0498, lr: 0.000018, batch_cost: 1.2507, reader_cost: 0.00022, ips: 1.5991 samples/sec | ETA 16:36:22 2021-08-23 04:36:28 [INFO] [TRAIN] epoch: 302, iter: 112210/160000, loss: 0.0550, lr: 0.000018, batch_cost: 1.2371, reader_cost: 0.00021, ips: 1.6167 samples/sec | ETA 16:25:18 2021-08-23 04:36:40 [INFO] [TRAIN] epoch: 302, iter: 112220/160000, loss: 0.0574, lr: 0.000018, batch_cost: 1.2237, reader_cost: 0.00020, ips: 1.6344 samples/sec | ETA 16:14:27 2021-08-23 04:36:52 [INFO] [TRAIN] epoch: 302, iter: 112230/160000, loss: 0.0476, lr: 0.000018, batch_cost: 1.2225, reader_cost: 0.00021, ips: 1.6361 samples/sec | ETA 16:13:16 2021-08-23 04:37:04 [INFO] [TRAIN] epoch: 302, iter: 112240/160000, loss: 0.0510, lr: 0.000018, batch_cost: 1.2126, reader_cost: 0.00021, ips: 1.6494 samples/sec | ETA 16:05:11 2021-08-23 04:37:17 [INFO] [TRAIN] epoch: 302, iter: 112250/160000, loss: 0.0471, lr: 0.000018, batch_cost: 1.2287, reader_cost: 0.00022, ips: 1.6277 samples/sec | ETA 16:17:51 2021-08-23 04:37:29 [INFO] [TRAIN] epoch: 302, iter: 112260/160000, loss: 0.0548, lr: 0.000018, batch_cost: 1.2155, reader_cost: 0.00021, ips: 1.6454 samples/sec | ETA 16:07:06 2021-08-23 04:37:41 [INFO] [TRAIN] epoch: 302, iter: 112270/160000, loss: 0.0548, lr: 0.000018, batch_cost: 1.2194, reader_cost: 0.00022, ips: 1.6402 samples/sec | ETA 16:10:00 2021-08-23 04:37:53 [INFO] [TRAIN] epoch: 302, iter: 112280/160000, loss: 0.0537, lr: 0.000018, batch_cost: 1.2397, reader_cost: 0.00023, ips: 1.6133 samples/sec | ETA 16:25:58 2021-08-23 04:38:06 [INFO] [TRAIN] epoch: 302, iter: 112290/160000, loss: 0.0540, lr: 0.000018, batch_cost: 1.2300, reader_cost: 0.00020, ips: 1.6260 samples/sec | ETA 16:18:05 2021-08-23 04:38:18 [INFO] [TRAIN] epoch: 302, iter: 112300/160000, loss: 0.0531, lr: 0.000018, batch_cost: 1.2249, reader_cost: 0.00023, ips: 1.6327 samples/sec | ETA 16:13:49 2021-08-23 04:38:30 [INFO] [TRAIN] epoch: 302, iter: 112310/160000, loss: 0.0492, lr: 0.000018, batch_cost: 1.2202, reader_cost: 0.00021, ips: 1.6391 samples/sec | ETA 16:09:51 2021-08-23 04:38:43 [INFO] [TRAIN] epoch: 302, iter: 112320/160000, loss: 0.0634, lr: 0.000018, batch_cost: 1.2316, reader_cost: 0.00021, ips: 1.6239 samples/sec | ETA 16:18:42 2021-08-23 04:38:55 [INFO] [TRAIN] epoch: 302, iter: 112330/160000, loss: 0.0531, lr: 0.000018, batch_cost: 1.2388, reader_cost: 0.00021, ips: 1.6144 samples/sec | ETA 16:24:15 2021-08-23 04:39:07 [INFO] [TRAIN] epoch: 302, iter: 112340/160000, loss: 0.0550, lr: 0.000018, batch_cost: 1.1893, reader_cost: 0.00017, ips: 1.6817 samples/sec | ETA 15:44:42 2021-08-23 04:39:22 [INFO] [TRAIN] epoch: 303, iter: 112350/160000, loss: 0.0477, lr: 0.000018, batch_cost: 1.4895, reader_cost: 0.22134, ips: 1.3428 samples/sec | ETA 19:42:53 2021-08-23 04:39:34 [INFO] [TRAIN] epoch: 303, iter: 112360/160000, loss: 0.0561, lr: 0.000018, batch_cost: 1.2327, reader_cost: 0.00093, ips: 1.6224 samples/sec | ETA 16:18:47 2021-08-23 04:39:46 [INFO] [TRAIN] epoch: 303, iter: 112370/160000, loss: 0.0532, lr: 0.000018, batch_cost: 1.2212, reader_cost: 0.00021, ips: 1.6377 samples/sec | ETA 16:09:27 2021-08-23 04:39:59 [INFO] [TRAIN] epoch: 303, iter: 112380/160000, loss: 0.0492, lr: 0.000018, batch_cost: 1.2240, reader_cost: 0.00023, ips: 1.6339 samples/sec | ETA 16:11:28 2021-08-23 04:40:11 [INFO] [TRAIN] epoch: 303, iter: 112390/160000, loss: 0.0448, lr: 0.000018, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6338 samples/sec | ETA 16:11:22 2021-08-23 04:40:23 [INFO] [TRAIN] epoch: 303, iter: 112400/160000, loss: 0.0656, lr: 0.000018, batch_cost: 1.2475, reader_cost: 0.00022, ips: 1.6033 samples/sec | ETA 16:29:38 2021-08-23 04:40:36 [INFO] [TRAIN] epoch: 303, iter: 112410/160000, loss: 0.0649, lr: 0.000018, batch_cost: 1.2424, reader_cost: 0.00022, ips: 1.6097 samples/sec | ETA 16:25:27 2021-08-23 04:40:48 [INFO] [TRAIN] epoch: 303, iter: 112420/160000, loss: 0.0479, lr: 0.000018, batch_cost: 1.2786, reader_cost: 0.00021, ips: 1.5642 samples/sec | ETA 16:53:54 2021-08-23 04:41:01 [INFO] [TRAIN] epoch: 303, iter: 112430/160000, loss: 0.0562, lr: 0.000018, batch_cost: 1.2354, reader_cost: 0.00022, ips: 1.6189 samples/sec | ETA 16:19:29 2021-08-23 04:41:13 [INFO] [TRAIN] epoch: 303, iter: 112440/160000, loss: 0.0639, lr: 0.000018, batch_cost: 1.2303, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 16:15:11 2021-08-23 04:41:26 [INFO] [TRAIN] epoch: 303, iter: 112450/160000, loss: 0.0498, lr: 0.000018, batch_cost: 1.2548, reader_cost: 0.00023, ips: 1.5939 samples/sec | ETA 16:34:24 2021-08-23 04:41:38 [INFO] [TRAIN] epoch: 303, iter: 112460/160000, loss: 0.0400, lr: 0.000018, batch_cost: 1.2181, reader_cost: 0.00021, ips: 1.6419 samples/sec | ETA 16:05:10 2021-08-23 04:41:50 [INFO] [TRAIN] epoch: 303, iter: 112470/160000, loss: 0.0513, lr: 0.000018, batch_cost: 1.2320, reader_cost: 0.00024, ips: 1.6234 samples/sec | ETA 16:15:57 2021-08-23 04:42:02 [INFO] [TRAIN] epoch: 303, iter: 112480/160000, loss: 0.0560, lr: 0.000018, batch_cost: 1.2267, reader_cost: 0.00022, ips: 1.6303 samples/sec | ETA 16:11:34 2021-08-23 04:42:15 [INFO] [TRAIN] epoch: 303, iter: 112490/160000, loss: 0.0548, lr: 0.000018, batch_cost: 1.2296, reader_cost: 0.00023, ips: 1.6266 samples/sec | ETA 16:13:37 2021-08-23 04:42:27 [INFO] [TRAIN] epoch: 303, iter: 112500/160000, loss: 0.0521, lr: 0.000018, batch_cost: 1.2376, reader_cost: 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16:03:08 2021-08-23 04:48:26 [INFO] [TRAIN] epoch: 304, iter: 112790/160000, loss: 0.0568, lr: 0.000018, batch_cost: 1.2413, reader_cost: 0.00021, ips: 1.6112 samples/sec | ETA 16:16:44 2021-08-23 04:48:38 [INFO] [TRAIN] epoch: 304, iter: 112800/160000, loss: 0.0560, lr: 0.000018, batch_cost: 1.2358, reader_cost: 0.00022, ips: 1.6184 samples/sec | ETA 16:12:09 2021-08-23 04:48:50 [INFO] [TRAIN] epoch: 304, iter: 112810/160000, loss: 0.0482, lr: 0.000018, batch_cost: 1.2291, reader_cost: 0.00022, ips: 1.6273 samples/sec | ETA 16:06:39 2021-08-23 04:49:02 [INFO] [TRAIN] epoch: 304, iter: 112820/160000, loss: 0.0614, lr: 0.000018, batch_cost: 1.2213, reader_cost: 0.00021, ips: 1.6377 samples/sec | ETA 16:00:18 2021-08-23 04:49:15 [INFO] [TRAIN] epoch: 304, iter: 112830/160000, loss: 0.0542, lr: 0.000018, batch_cost: 1.2240, reader_cost: 0.00019, ips: 1.6340 samples/sec | ETA 16:02:14 2021-08-23 04:49:27 [INFO] [TRAIN] epoch: 304, iter: 112840/160000, loss: 0.0608, lr: 0.000018, batch_cost: 1.2438, reader_cost: 0.00025, ips: 1.6079 samples/sec | ETA 16:17:39 2021-08-23 04:49:39 [INFO] [TRAIN] epoch: 304, iter: 112850/160000, loss: 0.0521, lr: 0.000018, batch_cost: 1.2319, reader_cost: 0.00024, ips: 1.6235 samples/sec | ETA 16:08:05 2021-08-23 04:49:52 [INFO] [TRAIN] epoch: 304, iter: 112860/160000, loss: 0.0449, lr: 0.000018, batch_cost: 1.2231, reader_cost: 0.00023, ips: 1.6352 samples/sec | ETA 16:00:58 2021-08-23 04:50:04 [INFO] [TRAIN] epoch: 304, iter: 112870/160000, loss: 0.0444, lr: 0.000018, batch_cost: 1.2317, reader_cost: 0.00023, ips: 1.6238 samples/sec | ETA 16:07:29 2021-08-23 04:50:16 [INFO] [TRAIN] epoch: 304, iter: 112880/160000, loss: 0.0642, lr: 0.000018, batch_cost: 1.2463, reader_cost: 0.00023, ips: 1.6048 samples/sec | ETA 16:18:45 2021-08-23 04:50:29 [INFO] [TRAIN] epoch: 304, iter: 112890/160000, loss: 0.0462, lr: 0.000018, batch_cost: 1.2297, reader_cost: 0.00021, ips: 1.6264 samples/sec | ETA 16:05:30 2021-08-23 04:50:41 [INFO] [TRAIN] epoch: 304, iter: 112900/160000, loss: 0.0544, lr: 0.000018, batch_cost: 1.2199, reader_cost: 0.00022, ips: 1.6395 samples/sec | ETA 15:57:36 2021-08-23 04:50:53 [INFO] [TRAIN] epoch: 304, iter: 112910/160000, loss: 0.0556, lr: 0.000018, batch_cost: 1.2250, reader_cost: 0.00023, ips: 1.6326 samples/sec | ETA 16:01:26 2021-08-23 04:51:05 [INFO] [TRAIN] epoch: 304, iter: 112920/160000, loss: 0.0609, lr: 0.000018, batch_cost: 1.2213, reader_cost: 0.00022, ips: 1.6376 samples/sec | ETA 15:58:17 2021-08-23 04:51:18 [INFO] [TRAIN] epoch: 304, iter: 112930/160000, loss: 0.0564, lr: 0.000018, batch_cost: 1.2384, reader_cost: 0.00022, ips: 1.6150 samples/sec | ETA 16:11:29 2021-08-23 04:51:30 [INFO] [TRAIN] epoch: 304, iter: 112940/160000, loss: 0.0645, lr: 0.000018, batch_cost: 1.2276, reader_cost: 0.00023, ips: 1.6292 samples/sec | ETA 16:02:49 2021-08-23 04:51:42 [INFO] [TRAIN] epoch: 304, iter: 112950/160000, loss: 0.0639, lr: 0.000018, batch_cost: 1.2307, reader_cost: 0.00022, ips: 1.6250 samples/sec | ETA 16:05:06 2021-08-23 04:51:55 [INFO] [TRAIN] epoch: 304, iter: 112960/160000, loss: 0.0543, lr: 0.000018, batch_cost: 1.2210, reader_cost: 0.00022, ips: 1.6380 samples/sec | ETA 15:57:17 2021-08-23 04:52:07 [INFO] [TRAIN] epoch: 304, iter: 112970/160000, loss: 0.0527, lr: 0.000018, batch_cost: 1.2184, reader_cost: 0.00021, ips: 1.6415 samples/sec | ETA 15:55:02 2021-08-23 04:52:19 [INFO] [TRAIN] epoch: 304, iter: 112980/160000, loss: 0.0789, lr: 0.000018, batch_cost: 1.2359, reader_cost: 0.00021, ips: 1.6182 samples/sec | ETA 16:08:34 2021-08-23 04:52:31 [INFO] [TRAIN] epoch: 304, iter: 112990/160000, loss: 0.0497, lr: 0.000018, batch_cost: 1.2201, reader_cost: 0.00022, ips: 1.6392 samples/sec | ETA 15:55:55 2021-08-23 04:52:44 [INFO] [TRAIN] epoch: 304, iter: 113000/160000, loss: 0.0627, lr: 0.000018, batch_cost: 1.2209, reader_cost: 0.00022, ips: 1.6381 samples/sec | ETA 15:56:23 2021-08-23 04:52:56 [INFO] [TRAIN] epoch: 304, iter: 113010/160000, loss: 0.0649, lr: 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[INFO] [TRAIN] epoch: 304, iter: 113070/160000, loss: 0.0508, lr: 0.000018, batch_cost: 1.2314, reader_cost: 0.00021, ips: 1.6241 samples/sec | ETA 16:03:10 2021-08-23 04:54:21 [INFO] [TRAIN] epoch: 304, iter: 113080/160000, loss: 0.0507, lr: 0.000018, batch_cost: 1.2168, reader_cost: 0.00020, ips: 1.6437 samples/sec | ETA 15:51:32 2021-08-23 04:54:36 [INFO] [TRAIN] epoch: 305, iter: 113090/160000, loss: 0.0625, lr: 0.000018, batch_cost: 1.4880, reader_cost: 0.21920, ips: 1.3440 samples/sec | ETA 19:23:24 2021-08-23 04:54:48 [INFO] [TRAIN] epoch: 305, iter: 113100/160000, loss: 0.0480, lr: 0.000018, batch_cost: 1.2289, reader_cost: 0.00086, ips: 1.6275 samples/sec | ETA 16:00:36 2021-08-23 04:55:01 [INFO] [TRAIN] epoch: 305, iter: 113110/160000, loss: 0.0484, lr: 0.000018, batch_cost: 1.2329, reader_cost: 0.00023, ips: 1.6222 samples/sec | ETA 16:03:30 2021-08-23 04:55:13 [INFO] [TRAIN] epoch: 305, iter: 113120/160000, loss: 0.0523, lr: 0.000018, batch_cost: 1.2288, reader_cost: 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loss: 0.0602, lr: 0.000018, batch_cost: 1.2396, reader_cost: 0.00022, ips: 1.6134 samples/sec | ETA 16:07:19 2021-08-23 04:56:39 [INFO] [TRAIN] epoch: 305, iter: 113190/160000, loss: 0.0569, lr: 0.000018, batch_cost: 1.2271, reader_cost: 0.00023, ips: 1.6299 samples/sec | ETA 15:57:19 2021-08-23 04:56:51 [INFO] [TRAIN] epoch: 305, iter: 113200/160000, loss: 0.0557, lr: 0.000018, batch_cost: 1.2381, reader_cost: 0.00021, ips: 1.6154 samples/sec | ETA 16:05:42 2021-08-23 04:57:04 [INFO] [TRAIN] epoch: 305, iter: 113210/160000, loss: 0.0547, lr: 0.000018, batch_cost: 1.2481, reader_cost: 0.00022, ips: 1.6025 samples/sec | ETA 16:13:16 2021-08-23 04:57:16 [INFO] [TRAIN] epoch: 305, iter: 113220/160000, loss: 0.0574, lr: 0.000018, batch_cost: 1.2239, reader_cost: 0.00023, ips: 1.6341 samples/sec | ETA 15:54:13 2021-08-23 04:57:28 [INFO] [TRAIN] epoch: 305, iter: 113230/160000, loss: 0.0493, lr: 0.000018, batch_cost: 1.2086, reader_cost: 0.00022, ips: 1.6548 samples/sec | ETA 15:42:05 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epoch: 306, iter: 113520/160000, loss: 0.0631, lr: 0.000017, batch_cost: 1.2510, reader_cost: 0.00022, ips: 1.5987 samples/sec | ETA 16:09:08 2021-08-23 05:03:38 [INFO] [TRAIN] epoch: 306, iter: 113530/160000, loss: 0.0628, lr: 0.000017, batch_cost: 1.2213, reader_cost: 0.00021, ips: 1.6375 samples/sec | ETA 15:45:55 2021-08-23 05:03:50 [INFO] [TRAIN] epoch: 306, iter: 113540/160000, loss: 0.0509, lr: 0.000017, batch_cost: 1.2242, reader_cost: 0.00021, ips: 1.6337 samples/sec | ETA 15:47:56 2021-08-23 05:04:03 [INFO] [TRAIN] epoch: 306, iter: 113550/160000, loss: 0.0516, lr: 0.000017, batch_cost: 1.2243, reader_cost: 0.00023, ips: 1.6337 samples/sec | ETA 15:47:46 2021-08-23 05:04:15 [INFO] [TRAIN] epoch: 306, iter: 113560/160000, loss: 0.0545, lr: 0.000017, batch_cost: 1.2481, reader_cost: 0.00023, ips: 1.6024 samples/sec | ETA 16:06:03 2021-08-23 05:04:27 [INFO] [TRAIN] epoch: 306, iter: 113570/160000, loss: 0.0549, lr: 0.000017, batch_cost: 1.2239, reader_cost: 0.00021, ips: 1.6341 samples/sec | ETA 15:47:05 2021-08-23 05:04:39 [INFO] [TRAIN] epoch: 306, iter: 113580/160000, loss: 0.0622, lr: 0.000017, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6370 samples/sec | ETA 15:45:15 2021-08-23 05:04:52 [INFO] [TRAIN] epoch: 306, iter: 113590/160000, loss: 0.0450, lr: 0.000017, batch_cost: 1.2268, reader_cost: 0.00022, ips: 1.6303 samples/sec | ETA 15:48:54 2021-08-23 05:05:04 [INFO] [TRAIN] epoch: 306, iter: 113600/160000, loss: 0.0559, lr: 0.000017, batch_cost: 1.2366, reader_cost: 0.00022, ips: 1.6174 samples/sec | ETA 15:56:16 2021-08-23 05:05:16 [INFO] [TRAIN] epoch: 306, iter: 113610/160000, loss: 0.0532, lr: 0.000017, batch_cost: 1.2261, reader_cost: 0.00022, ips: 1.6312 samples/sec | ETA 15:47:56 2021-08-23 05:05:29 [INFO] [TRAIN] epoch: 306, iter: 113620/160000, loss: 0.0479, lr: 0.000017, batch_cost: 1.2214, reader_cost: 0.00021, ips: 1.6374 samples/sec | ETA 15:44:09 2021-08-23 05:05:41 [INFO] [TRAIN] epoch: 306, iter: 113630/160000, loss: 0.0520, lr: 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[INFO] [TRAIN] epoch: 306, iter: 113690/160000, loss: 0.0503, lr: 0.000017, batch_cost: 1.2337, reader_cost: 0.00021, ips: 1.6212 samples/sec | ETA 15:52:11 2021-08-23 05:07:07 [INFO] [TRAIN] epoch: 306, iter: 113700/160000, loss: 0.0522, lr: 0.000017, batch_cost: 1.2200, reader_cost: 0.00020, ips: 1.6393 samples/sec | ETA 15:41:26 2021-08-23 05:07:19 [INFO] [TRAIN] epoch: 306, iter: 113710/160000, loss: 0.0526, lr: 0.000017, batch_cost: 1.2234, reader_cost: 0.00022, ips: 1.6348 samples/sec | ETA 15:43:51 2021-08-23 05:07:31 [INFO] [TRAIN] epoch: 306, iter: 113720/160000, loss: 0.0499, lr: 0.000017, batch_cost: 1.2221, reader_cost: 0.00022, ips: 1.6365 samples/sec | ETA 15:42:40 2021-08-23 05:07:43 [INFO] [TRAIN] epoch: 306, iter: 113730/160000, loss: 0.0516, lr: 0.000017, batch_cost: 1.2254, reader_cost: 0.00020, ips: 1.6321 samples/sec | ETA 15:45:00 2021-08-23 05:07:56 [INFO] [TRAIN] epoch: 306, iter: 113740/160000, loss: 0.0447, lr: 0.000017, batch_cost: 1.2175, reader_cost: 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epoch: 307, iter: 114140/160000, loss: 0.0571, lr: 0.000017, batch_cost: 1.2280, reader_cost: 0.00022, ips: 1.6286 samples/sec | ETA 15:38:37 2021-08-23 05:16:21 [INFO] [TRAIN] epoch: 307, iter: 114150/160000, loss: 0.0554, lr: 0.000017, batch_cost: 1.2155, reader_cost: 0.00022, ips: 1.6455 samples/sec | ETA 15:28:49 2021-08-23 05:16:33 [INFO] [TRAIN] epoch: 307, iter: 114160/160000, loss: 0.0477, lr: 0.000017, batch_cost: 1.2214, reader_cost: 0.00022, ips: 1.6375 samples/sec | ETA 15:33:06 2021-08-23 05:16:46 [INFO] [TRAIN] epoch: 307, iter: 114170/160000, loss: 0.0615, lr: 0.000017, batch_cost: 1.2372, reader_cost: 0.00021, ips: 1.6165 samples/sec | ETA 15:45:01 2021-08-23 05:16:58 [INFO] [TRAIN] epoch: 307, iter: 114180/160000, loss: 0.0516, lr: 0.000017, batch_cost: 1.2331, reader_cost: 0.00023, ips: 1.6219 samples/sec | ETA 15:41:41 2021-08-23 05:17:10 [INFO] [TRAIN] epoch: 307, iter: 114190/160000, loss: 0.0487, lr: 0.000017, batch_cost: 1.2298, reader_cost: 0.00023, ips: 1.6262 samples/sec | ETA 15:38:58 2021-08-23 05:17:22 [INFO] [TRAIN] epoch: 307, iter: 114200/160000, loss: 0.0589, lr: 0.000017, batch_cost: 1.1840, reader_cost: 0.00017, ips: 1.6891 samples/sec | ETA 15:03:49 2021-08-23 05:17:37 [INFO] [TRAIN] epoch: 308, iter: 114210/160000, loss: 0.0658, lr: 0.000017, batch_cost: 1.4839, reader_cost: 0.23063, ips: 1.3478 samples/sec | ETA 18:52:28 2021-08-23 05:17:49 [INFO] [TRAIN] epoch: 308, iter: 114220/160000, loss: 0.0492, lr: 0.000017, batch_cost: 1.2193, reader_cost: 0.00077, ips: 1.6403 samples/sec | ETA 15:30:17 2021-08-23 05:18:01 [INFO] [TRAIN] epoch: 308, iter: 114230/160000, loss: 0.0526, lr: 0.000017, batch_cost: 1.2227, reader_cost: 0.00020, ips: 1.6358 samples/sec | ETA 15:32:41 2021-08-23 05:18:13 [INFO] [TRAIN] epoch: 308, iter: 114240/160000, loss: 0.0439, lr: 0.000017, batch_cost: 1.2225, reader_cost: 0.00020, ips: 1.6360 samples/sec | ETA 15:32:20 2021-08-23 05:18:26 [INFO] [TRAIN] epoch: 308, iter: 114250/160000, loss: 0.0568, lr: 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[INFO] [TRAIN] epoch: 308, iter: 114310/160000, loss: 0.0536, lr: 0.000017, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 15:32:14 2021-08-23 05:19:52 [INFO] [TRAIN] epoch: 308, iter: 114320/160000, loss: 0.0524, lr: 0.000017, batch_cost: 1.2318, reader_cost: 0.00022, ips: 1.6237 samples/sec | ETA 15:37:47 2021-08-23 05:20:04 [INFO] [TRAIN] epoch: 308, iter: 114330/160000, loss: 0.0490, lr: 0.000017, batch_cost: 1.2294, reader_cost: 0.00022, ips: 1.6268 samples/sec | ETA 15:35:46 2021-08-23 05:20:16 [INFO] [TRAIN] epoch: 308, iter: 114340/160000, loss: 0.0490, lr: 0.000017, batch_cost: 1.2175, reader_cost: 0.00021, ips: 1.6427 samples/sec | ETA 15:26:31 2021-08-23 05:20:29 [INFO] [TRAIN] epoch: 308, iter: 114350/160000, loss: 0.0409, lr: 0.000017, batch_cost: 1.2323, reader_cost: 0.00021, ips: 1.6230 samples/sec | ETA 15:37:32 2021-08-23 05:20:41 [INFO] [TRAIN] epoch: 308, iter: 114360/160000, loss: 0.0407, lr: 0.000017, batch_cost: 1.2222, reader_cost: 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loss: 0.0590, lr: 0.000017, batch_cost: 1.2255, reader_cost: 0.00021, ips: 1.6320 samples/sec | ETA 15:30:58 2021-08-23 05:22:07 [INFO] [TRAIN] epoch: 308, iter: 114430/160000, loss: 0.0631, lr: 0.000017, batch_cost: 1.2404, reader_cost: 0.00023, ips: 1.6124 samples/sec | ETA 15:42:05 2021-08-23 05:22:19 [INFO] [TRAIN] epoch: 308, iter: 114440/160000, loss: 0.0513, lr: 0.000017, batch_cost: 1.2273, reader_cost: 0.00022, ips: 1.6296 samples/sec | ETA 15:31:56 2021-08-23 05:22:32 [INFO] [TRAIN] epoch: 308, iter: 114450/160000, loss: 0.0574, lr: 0.000017, batch_cost: 1.2284, reader_cost: 0.00023, ips: 1.6282 samples/sec | ETA 15:32:31 2021-08-23 05:22:44 [INFO] [TRAIN] epoch: 308, iter: 114460/160000, loss: 0.0501, lr: 0.000017, batch_cost: 1.2230, reader_cost: 0.00022, ips: 1.6353 samples/sec | ETA 15:28:17 2021-08-23 05:22:56 [INFO] [TRAIN] epoch: 308, iter: 114470/160000, loss: 0.0487, lr: 0.000017, batch_cost: 1.2284, reader_cost: 0.00022, ips: 1.6281 samples/sec | ETA 15:32:09 2021-08-23 05:23:08 [INFO] [TRAIN] epoch: 308, iter: 114480/160000, loss: 0.0491, lr: 0.000017, batch_cost: 1.2330, reader_cost: 0.00023, ips: 1.6220 samples/sec | ETA 15:35:27 2021-08-23 05:23:21 [INFO] [TRAIN] epoch: 308, iter: 114490/160000, loss: 0.0545, lr: 0.000017, batch_cost: 1.2310, reader_cost: 0.00023, ips: 1.6247 samples/sec | ETA 15:33:42 2021-08-23 05:23:33 [INFO] [TRAIN] epoch: 308, iter: 114500/160000, loss: 0.0466, lr: 0.000017, batch_cost: 1.2445, reader_cost: 0.00024, ips: 1.6071 samples/sec | ETA 15:43:45 2021-08-23 05:23:45 [INFO] [TRAIN] epoch: 308, iter: 114510/160000, loss: 0.0448, lr: 0.000017, batch_cost: 1.2190, reader_cost: 0.00023, ips: 1.6407 samples/sec | ETA 15:24:12 2021-08-23 05:23:58 [INFO] [TRAIN] epoch: 308, iter: 114520/160000, loss: 0.0509, lr: 0.000017, batch_cost: 1.2190, reader_cost: 0.00021, ips: 1.6407 samples/sec | ETA 15:24:01 2021-08-23 05:24:10 [INFO] [TRAIN] epoch: 308, iter: 114530/160000, loss: 0.0482, lr: 0.000017, batch_cost: 1.2154, 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15:23:46 2021-08-23 05:26:40 [INFO] [TRAIN] epoch: 309, iter: 114650/160000, loss: 0.0595, lr: 0.000017, batch_cost: 1.2142, reader_cost: 0.00021, ips: 1.6472 samples/sec | ETA 15:17:43 2021-08-23 05:26:52 [INFO] [TRAIN] epoch: 309, iter: 114660/160000, loss: 0.0471, lr: 0.000017, batch_cost: 1.2284, reader_cost: 0.00022, ips: 1.6281 samples/sec | ETA 15:28:17 2021-08-23 05:27:04 [INFO] [TRAIN] epoch: 309, iter: 114670/160000, loss: 0.0569, lr: 0.000017, batch_cost: 1.2378, reader_cost: 0.00022, ips: 1.6157 samples/sec | ETA 15:35:10 2021-08-23 05:27:17 [INFO] [TRAIN] epoch: 309, iter: 114680/160000, loss: 0.0481, lr: 0.000017, batch_cost: 1.2347, reader_cost: 0.00023, ips: 1.6198 samples/sec | ETA 15:32:38 2021-08-23 05:27:29 [INFO] [TRAIN] epoch: 309, iter: 114690/160000, loss: 0.0484, lr: 0.000017, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 15:23:45 2021-08-23 05:27:41 [INFO] [TRAIN] epoch: 309, iter: 114700/160000, loss: 0.0491, lr: 0.000017, 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epoch: 309, iter: 114760/160000, loss: 0.0611, lr: 0.000017, batch_cost: 1.2389, reader_cost: 0.00021, ips: 1.6143 samples/sec | ETA 15:34:08 2021-08-23 05:29:07 [INFO] [TRAIN] epoch: 309, iter: 114770/160000, loss: 0.0435, lr: 0.000017, batch_cost: 1.2306, reader_cost: 0.00022, ips: 1.6252 samples/sec | ETA 15:27:40 2021-08-23 05:29:20 [INFO] [TRAIN] epoch: 309, iter: 114780/160000, loss: 0.0517, lr: 0.000017, batch_cost: 1.2348, reader_cost: 0.00021, ips: 1.6197 samples/sec | ETA 15:30:37 2021-08-23 05:29:32 [INFO] [TRAIN] epoch: 309, iter: 114790/160000, loss: 0.0542, lr: 0.000017, batch_cost: 1.2242, reader_cost: 0.00021, ips: 1.6337 samples/sec | ETA 15:22:27 2021-08-23 05:29:44 [INFO] [TRAIN] epoch: 309, iter: 114800/160000, loss: 0.0520, lr: 0.000017, batch_cost: 1.2166, reader_cost: 0.00023, ips: 1.6440 samples/sec | ETA 15:16:29 2021-08-23 05:29:56 [INFO] [TRAIN] epoch: 309, iter: 114810/160000, loss: 0.0583, lr: 0.000017, batch_cost: 1.2138, reader_cost: 0.00021, ips: 1.6477 samples/sec | ETA 15:14:11 2021-08-23 05:30:09 [INFO] [TRAIN] epoch: 309, iter: 114820/160000, loss: 0.0624, lr: 0.000017, batch_cost: 1.2299, reader_cost: 0.00021, ips: 1.6261 samples/sec | ETA 15:26:07 2021-08-23 05:30:21 [INFO] [TRAIN] epoch: 309, iter: 114830/160000, loss: 0.0580, lr: 0.000017, batch_cost: 1.2264, reader_cost: 0.00023, ips: 1.6308 samples/sec | ETA 15:23:16 2021-08-23 05:30:33 [INFO] [TRAIN] epoch: 309, iter: 114840/160000, loss: 0.0586, lr: 0.000017, batch_cost: 1.2174, reader_cost: 0.00024, ips: 1.6428 samples/sec | ETA 15:16:19 2021-08-23 05:30:45 [INFO] [TRAIN] epoch: 309, iter: 114850/160000, loss: 0.0574, lr: 0.000017, batch_cost: 1.2366, reader_cost: 0.00023, ips: 1.6173 samples/sec | ETA 15:30:33 2021-08-23 05:30:58 [INFO] [TRAIN] epoch: 309, iter: 114860/160000, loss: 0.0508, lr: 0.000017, batch_cost: 1.2249, reader_cost: 0.00021, ips: 1.6328 samples/sec | ETA 15:21:32 2021-08-23 05:31:10 [INFO] [TRAIN] epoch: 309, iter: 114870/160000, loss: 0.0462, lr: 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[INFO] [TRAIN] epoch: 309, iter: 114930/160000, loss: 0.0507, lr: 0.000017, batch_cost: 1.2383, reader_cost: 0.00022, ips: 1.6151 samples/sec | ETA 15:30:10 2021-08-23 05:32:36 [INFO] [TRAIN] epoch: 309, iter: 114940/160000, loss: 0.0532, lr: 0.000017, batch_cost: 1.2219, reader_cost: 0.00020, ips: 1.6367 samples/sec | ETA 15:17:40 2021-08-23 05:32:51 [INFO] [TRAIN] epoch: 310, iter: 114950/160000, loss: 0.0574, lr: 0.000017, batch_cost: 1.4856, reader_cost: 0.23091, ips: 1.3463 samples/sec | ETA 18:35:26 2021-08-23 05:33:04 [INFO] [TRAIN] epoch: 310, iter: 114960/160000, loss: 0.0479, lr: 0.000017, batch_cost: 1.2324, reader_cost: 0.00073, ips: 1.6228 samples/sec | ETA 15:25:07 2021-08-23 05:33:16 [INFO] [TRAIN] epoch: 310, iter: 114970/160000, loss: 0.0484, lr: 0.000017, batch_cost: 1.2160, reader_cost: 0.00020, ips: 1.6447 samples/sec | ETA 15:12:37 2021-08-23 05:33:28 [INFO] [TRAIN] epoch: 310, iter: 114980/160000, loss: 0.0569, lr: 0.000017, batch_cost: 1.2318, reader_cost: 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loss: 0.0579, lr: 0.000017, batch_cost: 1.2344, reader_cost: 0.00022, ips: 1.6202 samples/sec | ETA 15:24:59 2021-08-23 05:34:54 [INFO] [TRAIN] epoch: 310, iter: 115050/160000, loss: 0.0487, lr: 0.000017, batch_cost: 1.2114, reader_cost: 0.00021, ips: 1.6510 samples/sec | ETA 15:07:33 2021-08-23 05:35:06 [INFO] [TRAIN] epoch: 310, iter: 115060/160000, loss: 0.0532, lr: 0.000017, batch_cost: 1.2508, reader_cost: 0.00020, ips: 1.5989 samples/sec | ETA 15:36:52 2021-08-23 05:35:18 [INFO] [TRAIN] epoch: 310, iter: 115070/160000, loss: 0.0548, lr: 0.000017, batch_cost: 1.2262, reader_cost: 0.00022, ips: 1.6310 samples/sec | ETA 15:18:15 2021-08-23 05:35:30 [INFO] [TRAIN] epoch: 310, iter: 115080/160000, loss: 0.0529, lr: 0.000017, batch_cost: 1.2144, reader_cost: 0.00020, ips: 1.6469 samples/sec | ETA 15:09:10 2021-08-23 05:35:43 [INFO] [TRAIN] epoch: 310, iter: 115090/160000, loss: 0.0591, lr: 0.000017, batch_cost: 1.2334, reader_cost: 0.00022, ips: 1.6215 samples/sec | ETA 15:23:13 2021-08-23 05:35:55 [INFO] [TRAIN] epoch: 310, iter: 115100/160000, loss: 0.0614, lr: 0.000017, batch_cost: 1.2209, reader_cost: 0.00021, ips: 1.6381 samples/sec | ETA 15:13:38 2021-08-23 05:36:07 [INFO] [TRAIN] epoch: 310, iter: 115110/160000, loss: 0.0608, lr: 0.000017, batch_cost: 1.2123, reader_cost: 0.00022, ips: 1.6497 samples/sec | ETA 15:07:00 2021-08-23 05:36:19 [INFO] [TRAIN] epoch: 310, iter: 115120/160000, loss: 0.0506, lr: 0.000017, batch_cost: 1.2180, reader_cost: 0.00022, ips: 1.6421 samples/sec | ETA 15:11:03 2021-08-23 05:36:32 [INFO] [TRAIN] epoch: 310, iter: 115130/160000, loss: 0.0448, lr: 0.000017, batch_cost: 1.2503, reader_cost: 0.00023, ips: 1.5996 samples/sec | ETA 15:35:01 2021-08-23 05:36:44 [INFO] [TRAIN] epoch: 310, iter: 115140/160000, loss: 0.0530, lr: 0.000017, batch_cost: 1.2422, reader_cost: 0.00022, ips: 1.6100 samples/sec | ETA 15:28:46 2021-08-23 05:36:57 [INFO] [TRAIN] epoch: 310, iter: 115150/160000, loss: 0.0512, lr: 0.000017, batch_cost: 1.2362, 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batch_cost: 1.1919, reader_cost: 0.00016, ips: 1.6780 samples/sec | ETA 14:47:33 2021-08-23 05:40:40 [INFO] [TRAIN] epoch: 311, iter: 115330/160000, loss: 0.0516, lr: 0.000017, batch_cost: 1.5113, reader_cost: 0.21154, ips: 1.3234 samples/sec | ETA 18:45:09 2021-08-23 05:40:53 [INFO] [TRAIN] epoch: 311, iter: 115340/160000, loss: 0.0498, lr: 0.000017, batch_cost: 1.2336, reader_cost: 0.00082, ips: 1.6213 samples/sec | ETA 15:18:12 2021-08-23 05:41:05 [INFO] [TRAIN] epoch: 311, iter: 115350/160000, loss: 0.0528, lr: 0.000017, batch_cost: 1.2208, reader_cost: 0.00021, ips: 1.6382 samples/sec | ETA 15:08:29 2021-08-23 05:41:17 [INFO] [TRAIN] epoch: 311, iter: 115360/160000, loss: 0.0563, lr: 0.000017, batch_cost: 1.2418, reader_cost: 0.00027, ips: 1.6106 samples/sec | ETA 15:23:52 2021-08-23 05:41:30 [INFO] [TRAIN] epoch: 311, iter: 115370/160000, loss: 0.0504, lr: 0.000017, batch_cost: 1.2200, reader_cost: 0.00024, ips: 1.6394 samples/sec | ETA 15:07:28 2021-08-23 05:41:42 [INFO] [TRAIN] epoch: 311, iter: 115380/160000, loss: 0.0544, lr: 0.000017, batch_cost: 1.2277, reader_cost: 0.00022, ips: 1.6290 samples/sec | ETA 15:13:00 2021-08-23 05:41:54 [INFO] [TRAIN] epoch: 311, iter: 115390/160000, loss: 0.0506, lr: 0.000017, batch_cost: 1.2147, reader_cost: 0.00023, ips: 1.6464 samples/sec | ETA 15:03:09 2021-08-23 05:42:06 [INFO] [TRAIN] epoch: 311, iter: 115400/160000, loss: 0.0559, lr: 0.000017, batch_cost: 1.2294, reader_cost: 0.00022, ips: 1.6268 samples/sec | ETA 15:13:50 2021-08-23 05:42:19 [INFO] [TRAIN] epoch: 311, iter: 115410/160000, loss: 0.0511, lr: 0.000017, batch_cost: 1.2350, reader_cost: 0.00021, ips: 1.6194 samples/sec | ETA 15:17:48 2021-08-23 05:42:31 [INFO] [TRAIN] epoch: 311, iter: 115420/160000, loss: 0.0532, lr: 0.000017, batch_cost: 1.2348, reader_cost: 0.00022, ips: 1.6197 samples/sec | ETA 15:17:27 2021-08-23 05:42:43 [INFO] [TRAIN] epoch: 311, iter: 115430/160000, loss: 0.0494, lr: 0.000017, batch_cost: 1.2212, reader_cost: 0.00024, ips: 1.6378 samples/sec | ETA 15:07:07 2021-08-23 05:42:55 [INFO] [TRAIN] epoch: 311, iter: 115440/160000, loss: 0.0453, lr: 0.000017, batch_cost: 1.2142, reader_cost: 0.00022, ips: 1.6472 samples/sec | ETA 15:01:45 2021-08-23 05:43:08 [INFO] [TRAIN] epoch: 311, iter: 115450/160000, loss: 0.0510, lr: 0.000017, batch_cost: 1.2164, reader_cost: 0.00022, ips: 1.6441 samples/sec | ETA 15:03:12 2021-08-23 05:43:20 [INFO] [TRAIN] epoch: 311, iter: 115460/160000, loss: 0.0516, lr: 0.000017, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6359 samples/sec | ETA 15:07:33 2021-08-23 05:43:32 [INFO] [TRAIN] epoch: 311, iter: 115470/160000, loss: 0.0473, lr: 0.000017, batch_cost: 1.2184, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 15:04:17 2021-08-23 05:43:44 [INFO] [TRAIN] epoch: 311, iter: 115480/160000, loss: 0.0559, lr: 0.000017, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6390 samples/sec | ETA 15:05:24 2021-08-23 05:43:56 [INFO] [TRAIN] epoch: 311, iter: 115490/160000, loss: 0.0432, lr: 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[INFO] [TRAIN] epoch: 311, iter: 115550/160000, loss: 0.0631, lr: 0.000017, batch_cost: 1.2332, reader_cost: 0.00022, ips: 1.6217 samples/sec | ETA 15:13:37 2021-08-23 05:45:23 [INFO] [TRAIN] epoch: 311, iter: 115560/160000, loss: 0.0445, lr: 0.000017, batch_cost: 1.2368, reader_cost: 0.00022, ips: 1.6170 samples/sec | ETA 15:16:05 2021-08-23 05:45:35 [INFO] [TRAIN] epoch: 311, iter: 115570/160000, loss: 0.0559, lr: 0.000017, batch_cost: 1.2220, reader_cost: 0.00021, ips: 1.6367 samples/sec | ETA 15:04:52 2021-08-23 05:45:47 [INFO] [TRAIN] epoch: 311, iter: 115580/160000, loss: 0.0545, lr: 0.000017, batch_cost: 1.2092, reader_cost: 0.00021, ips: 1.6540 samples/sec | ETA 14:55:11 2021-08-23 05:45:59 [INFO] [TRAIN] epoch: 311, iter: 115590/160000, loss: 0.0602, lr: 0.000017, batch_cost: 1.2181, reader_cost: 0.00021, ips: 1.6418 samples/sec | ETA 15:01:37 2021-08-23 05:46:11 [INFO] [TRAIN] epoch: 311, iter: 115600/160000, loss: 0.0509, lr: 0.000017, batch_cost: 1.2355, reader_cost: 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15:10:53 2021-08-23 05:52:09 [INFO] [TRAIN] epoch: 312, iter: 115890/160000, loss: 0.0481, lr: 0.000017, batch_cost: 1.2171, reader_cost: 0.00021, ips: 1.6432 samples/sec | ETA 14:54:48 2021-08-23 05:52:21 [INFO] [TRAIN] epoch: 312, iter: 115900/160000, loss: 0.0457, lr: 0.000017, batch_cost: 1.2123, reader_cost: 0.00021, ips: 1.6497 samples/sec | ETA 14:51:04 2021-08-23 05:52:33 [INFO] [TRAIN] epoch: 312, iter: 115910/160000, loss: 0.0505, lr: 0.000017, batch_cost: 1.2267, reader_cost: 0.00020, ips: 1.6303 samples/sec | ETA 15:01:26 2021-08-23 05:52:45 [INFO] [TRAIN] epoch: 312, iter: 115920/160000, loss: 0.0437, lr: 0.000017, batch_cost: 1.2252, reader_cost: 0.00020, ips: 1.6324 samples/sec | ETA 15:00:07 2021-08-23 05:52:57 [INFO] [TRAIN] epoch: 312, iter: 115930/160000, loss: 0.0474, lr: 0.000017, batch_cost: 1.2042, reader_cost: 0.00021, ips: 1.6609 samples/sec | ETA 14:44:27 2021-08-23 05:53:10 [INFO] [TRAIN] epoch: 312, iter: 115940/160000, loss: 0.0544, lr: 0.000017, batch_cost: 1.2271, reader_cost: 0.00022, ips: 1.6299 samples/sec | ETA 15:01:05 2021-08-23 05:53:22 [INFO] [TRAIN] epoch: 312, iter: 115950/160000, loss: 0.0501, lr: 0.000017, batch_cost: 1.2202, reader_cost: 0.00021, ips: 1.6391 samples/sec | ETA 14:55:48 2021-08-23 05:53:34 [INFO] [TRAIN] epoch: 312, iter: 115960/160000, loss: 0.0493, lr: 0.000017, batch_cost: 1.2305, reader_cost: 0.00022, ips: 1.6254 samples/sec | ETA 15:03:09 2021-08-23 05:53:46 [INFO] [TRAIN] epoch: 312, iter: 115970/160000, loss: 0.0526, lr: 0.000017, batch_cost: 1.2330, reader_cost: 0.00022, ips: 1.6220 samples/sec | ETA 15:04:50 2021-08-23 05:53:59 [INFO] [TRAIN] epoch: 312, iter: 115980/160000, loss: 0.0539, lr: 0.000017, batch_cost: 1.2319, reader_cost: 0.00021, ips: 1.6235 samples/sec | ETA 15:03:47 2021-08-23 05:54:11 [INFO] [TRAIN] epoch: 312, iter: 115990/160000, loss: 0.0565, lr: 0.000017, batch_cost: 1.2266, reader_cost: 0.00023, ips: 1.6305 samples/sec | ETA 14:59:43 2021-08-23 05:54:23 [INFO] [TRAIN] epoch: 312, iter: 116000/160000, loss: 0.0560, lr: 0.000017, batch_cost: 1.2388, reader_cost: 0.00022, ips: 1.6145 samples/sec | ETA 15:08:27 2021-08-23 05:54:23 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:24 - batch_cost: 3.5854 - reader cost: 0.4076 2/125 [..............................] - ETA: 6:08 - batch_cost: 2.9923 - reader cost: 0.2039 3/125 [..............................] - ETA: 5:34 - batch_cost: 2.7453 - reader cost: 0.1360 4/125 [..............................] - ETA: 5:14 - batch_cost: 2.6014 - reader cost: 0.1021 5/125 [>.............................] - ETA: 5:00 - batch_cost: 2.5061 - reader cost: 0.0817 6/125 [>.............................] - ETA: 4:49 - batch_cost: 2.4364 - reader cost: 0.0681 7/125 [>.............................] - ETA: 4:42 - batch_cost: 2.3914 - reader cost: 0.0584 8/125 [>.............................] - ETA: 4:36 - batch_cost: 2.3613 - reader cost: 0.0511 9/125 [=>............................] - ETA: 4:30 - batch_cost: 2.3325 - reader cost: 0.0455 10/125 [=>............................] - ETA: 4:25 - batch_cost: 2.3112 - reader cost: 0.0409 11/125 [=>............................] - ETA: 4:21 - batch_cost: 2.2906 - reader cost: 0.0372 12/125 [=>............................] - ETA: 4:17 - batch_cost: 2.2744 - reader cost: 0.0342 13/125 [==>...........................] - ETA: 4:13 - batch_cost: 2.2623 - reader cost: 0.0315 14/125 [==>...........................] - ETA: 4:09 - batch_cost: 2.2519 - reader cost: 0.0293 15/125 [==>...........................] - ETA: 4:06 - batch_cost: 2.2423 - reader cost: 0.0274 16/125 [==>...........................] - ETA: 4:03 - batch_cost: 2.2339 - reader cost: 0.0257 17/125 [===>..........................] - ETA: 4:00 - batch_cost: 2.2253 - reader cost: 0.0242 18/125 [===>..........................] - ETA: 3:57 - batch_cost: 2.2193 - reader cost: 0.0228 19/125 [===>..........................] - ETA: 3:54 - batch_cost: 2.2115 - reader cost: 0.0216 20/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.2068 - reader cost: 0.0206 21/125 [====>.........................] - ETA: 3:49 - batch_cost: 2.2020 - reader cost: 0.0196 22/125 [====>.........................] - ETA: 3:46 - batch_cost: 2.1947 - reader cost: 0.0187 23/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.1902 - reader cost: 0.0179 24/125 [====>.........................] - ETA: 3:40 - batch_cost: 2.1866 - reader cost: 0.0172 25/125 [=====>........................] - ETA: 3:38 - batch_cost: 2.1802 - reader cost: 0.0165 26/125 [=====>........................] - ETA: 3:35 - batch_cost: 2.1797 - reader cost: 0.0159 27/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1776 - reader cost: 0.0153 28/125 [=====>........................] - ETA: 3:30 - batch_cost: 2.1740 - reader cost: 0.0148 29/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1717 - reader cost: 0.0143 30/125 [======>.......................] - ETA: 3:26 - batch_cost: 2.1687 - reader cost: 0.0138 31/125 [======>.......................] - ETA: 3:23 - batch_cost: 2.1659 - reader cost: 0.0133 32/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1629 - reader cost: 0.0129 33/125 [======>.......................] - ETA: 3:18 - batch_cost: 2.1603 - reader cost: 0.0125 34/125 [=======>......................] - ETA: 3:16 - batch_cost: 2.1572 - reader cost: 0.0122 35/125 [=======>......................] - ETA: 3:13 - batch_cost: 2.1542 - reader cost: 0.0118 36/125 [=======>......................] - ETA: 3:11 - batch_cost: 2.1517 - reader cost: 0.0115 37/125 [=======>......................] - ETA: 3:09 - batch_cost: 2.1494 - reader cost: 0.0112 38/125 [========>.....................] - ETA: 3:06 - batch_cost: 2.1480 - reader cost: 0.0109 39/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1457 - reader cost: 0.0106 40/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1442 - reader cost: 0.0104 41/125 [========>.....................] - ETA: 3:00 - batch_cost: 2.1429 - reader cost: 0.0101 42/125 [=========>....................] - ETA: 2:57 - batch_cost: 2.1424 - reader cost: 0.0099 43/125 [=========>....................] - ETA: 2:55 - batch_cost: 2.1409 - reader cost: 0.0097 44/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1399 - reader cost: 0.0095 45/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1398 - reader cost: 0.0093 46/125 [==========>...................] - ETA: 2:48 - batch_cost: 2.1383 - reader cost: 0.0091 47/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1374 - reader cost: 0.0089 48/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1367 - reader cost: 0.0087 49/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1356 - reader cost: 0.0085 50/125 [===========>..................] - ETA: 2:40 - batch_cost: 2.1345 - reader cost: 0.0083 51/125 [===========>..................] - ETA: 2:37 - batch_cost: 2.1336 - reader cost: 0.0082 52/125 [===========>..................] - ETA: 2:35 - batch_cost: 2.1333 - reader cost: 0.0080 53/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.1336 - reader cost: 0.0079 54/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.1332 - reader cost: 0.0077 55/125 [============>.................] - ETA: 2:29 - batch_cost: 2.1320 - reader cost: 0.0076 56/125 [============>.................] - ETA: 2:27 - batch_cost: 2.1306 - reader cost: 0.0075 57/125 [============>.................] - ETA: 2:24 - batch_cost: 2.1291 - reader cost: 0.0073 58/125 [============>.................] - ETA: 2:22 - batch_cost: 2.1281 - reader cost: 0.0072 59/125 [=============>................] - ETA: 2:20 - batch_cost: 2.1265 - reader cost: 0.0071 60/125 [=============>................] - ETA: 2:18 - batch_cost: 2.1269 - reader cost: 0.0070 61/125 [=============>................] - ETA: 2:15 - batch_cost: 2.1246 - reader cost: 0.0069 62/125 [=============>................] - ETA: 2:13 - batch_cost: 2.1248 - reader cost: 0.0068 63/125 [==============>...............] - ETA: 2:11 - batch_cost: 2.1245 - reader cost: 0.0067 64/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.1239 - reader cost: 0.0066 65/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.1238 - reader cost: 0.0065 66/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.1236 - reader cost: 0.0064 67/125 [===============>..............] - ETA: 2:03 - batch_cost: 2.1238 - reader cost: 0.0063 68/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1236 - reader cost: 0.0062 69/125 [===============>..............] - ETA: 1:58 - batch_cost: 2.1239 - reader cost: 0.0061 70/125 [===============>..............] - ETA: 1:56 - batch_cost: 2.1240 - reader cost: 0.0060 71/125 [================>.............] - ETA: 1:54 - batch_cost: 2.1237 - reader cost: 0.0059 72/125 [================>.............] - ETA: 1:52 - batch_cost: 2.1223 - reader cost: 0.0059 73/125 [================>.............] - ETA: 1:50 - batch_cost: 2.1215 - reader cost: 0.0058 74/125 [================>.............] - ETA: 1:48 - batch_cost: 2.1207 - reader cost: 0.0057 75/125 [=================>............] - ETA: 1:45 - batch_cost: 2.1195 - reader cost: 0.0056 76/125 [=================>............] - ETA: 1:43 - batch_cost: 2.1189 - reader cost: 0.0056 77/125 [=================>............] - ETA: 1:41 - batch_cost: 2.1179 - reader cost: 0.0055 78/125 [=================>............] - ETA: 1:39 - batch_cost: 2.1172 - reader cost: 0.0054 79/125 [=================>............] - ETA: 1:37 - batch_cost: 2.1165 - reader cost: 0.0054 80/125 [==================>...........] - ETA: 1:35 - batch_cost: 2.1159 - reader cost: 0.0053 81/125 [==================>...........] - ETA: 1:33 - batch_cost: 2.1158 - reader cost: 0.0052 82/125 [==================>...........] - ETA: 1:30 - batch_cost: 2.1158 - reader cost: 0.0052 83/125 [==================>...........] - ETA: 1:28 - batch_cost: 2.1155 - reader cost: 0.0051 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1151 - reader cost: 0.0051 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1145 - reader cost: 0.0050 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1137 - reader cost: 0.0049 87/125 [===================>..........] - ETA: 1:20 - batch_cost: 2.1129 - reader cost: 0.0049 88/125 [====================>.........] - ETA: 1:18 - batch_cost: 2.1120 - reader cost: 0.0048 89/125 [====================>.........] - ETA: 1:16 - batch_cost: 2.1112 - reader cost: 0.0048 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.1113 - reader cost: 0.0047 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.1108 - reader cost: 0.0047 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1106 - reader cost: 0.0046 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1099 - reader cost: 0.0046 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1092 - reader cost: 0.0045 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1086 - reader cost: 0.0045 96/125 [======================>.......] - ETA: 1:01 - batch_cost: 2.1077 - reader cost: 0.0044 97/125 [======================>.......] - ETA: 59s - batch_cost: 2.1073 - reader cost: 0.0044  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.1071 - reader cost: 0.0044 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.1068 - reader cost: 0.0043 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.1062 - reader cost: 0.0043 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.1059 - reader cost: 0.0042 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1054 - reader cost: 0.0042 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1051 - reader cost: 0.0042 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1046 - reader cost: 0.0041 105/125 [========================>.....] - ETA: 42s - batch_cost: 2.1043 - reader cost: 0.0041 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.1040 - reader cost: 0.0040 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.1034 - reader cost: 0.0040 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.1030 - reader cost: 0.0040 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.1028 - reader cost: 0.0039 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.1024 - reader cost: 0.0039 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.1020 - reader cost: 0.0039 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.1020 - reader cost: 0.0038 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.1014 - reader cost: 0.0038 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.1013 - reader cost: 0.0038 115/125 [==========================>...] - ETA: 21s - batch_cost: 2.1009 - reader cost: 0.0037 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.1005 - reader cost: 0.0037 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.1001 - reader cost: 0.0037 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.1000 - reader cost: 0.0037 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.1000 - reader cost: 0.0036 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0997 - reader cost: 0.0036 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0992 - reader cost: 0.0036  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0989 - reader cost: 0.0035 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0985 - reader cost: 0.0035 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0977 - reader cost: 0.0035 125/125 [==============================] - 262s 2s/step - batch_cost: 2.0973 - reader cost: 0.0035 2021-08-23 05:58:46 [INFO] [EVAL] #Images: 500 mIoU: 0.8245 Acc: 0.9676 Kappa: 0.9579 2021-08-23 05:58:46 [INFO] [EVAL] Class IoU: [0.9849 0.8746 0.9378 0.6926 0.6643 0.6995 0.7562 0.8248 0.9319 0.6595 0.956 0.8489 0.6779 0.9594 0.8906 0.9157 0.8733 0.7196 0.7989] 2021-08-23 05:58:46 [INFO] [EVAL] Class Acc: [0.9923 0.9324 0.9662 0.8909 0.8691 0.8479 0.8698 0.9116 0.9587 0.8433 0.9716 0.9095 0.8211 0.9761 0.966 0.9567 0.9638 0.8637 0.8666] 2021-08-23 05:58:49 [INFO] [EVAL] The model with the best validation mIoU (0.8245) was saved at iter 116000. 2021-08-23 05:59:02 [INFO] [TRAIN] epoch: 312, iter: 116010/160000, loss: 0.0488, lr: 0.000016, batch_cost: 1.2234, reader_cost: 0.00071, ips: 1.6348 samples/sec | ETA 14:56:58 2021-08-23 05:59:14 [INFO] [TRAIN] epoch: 312, iter: 116020/160000, loss: 0.0505, lr: 0.000016, batch_cost: 1.2122, reader_cost: 0.00021, ips: 1.6499 samples/sec | ETA 14:48:33 2021-08-23 05:59:26 [INFO] [TRAIN] epoch: 312, iter: 116030/160000, loss: 0.0534, lr: 0.000016, batch_cost: 1.2278, reader_cost: 0.00022, ips: 1.6289 samples/sec | ETA 14:59:45 2021-08-23 05:59:38 [INFO] [TRAIN] epoch: 312, iter: 116040/160000, loss: 0.0522, lr: 0.000016, batch_cost: 1.2179, reader_cost: 0.00022, ips: 1.6422 samples/sec | ETA 14:52:17 2021-08-23 05:59:50 [INFO] [TRAIN] epoch: 312, iter: 116050/160000, loss: 0.0512, lr: 0.000016, batch_cost: 1.2193, reader_cost: 0.00021, ips: 1.6403 samples/sec | ETA 14:53:07 2021-08-23 06:00:02 [INFO] [TRAIN] epoch: 312, iter: 116060/160000, loss: 0.0587, lr: 0.000016, batch_cost: 1.1848, reader_cost: 0.00016, ips: 1.6880 samples/sec | ETA 14:27:40 2021-08-23 06:00:17 [INFO] [TRAIN] epoch: 313, iter: 116070/160000, loss: 0.0663, lr: 0.000016, batch_cost: 1.5003, reader_cost: 0.23765, ips: 1.3331 samples/sec | ETA 18:18:27 2021-08-23 06:00:30 [INFO] [TRAIN] epoch: 313, iter: 116080/160000, loss: 0.0528, lr: 0.000016, batch_cost: 1.2406, reader_cost: 0.00078, ips: 1.6121 samples/sec | ETA 15:08:08 2021-08-23 06:00:42 [INFO] [TRAIN] epoch: 313, iter: 116090/160000, loss: 0.0432, lr: 0.000016, batch_cost: 1.2252, reader_cost: 0.00021, ips: 1.6324 samples/sec | ETA 14:56:38 2021-08-23 06:00:54 [INFO] [TRAIN] epoch: 313, iter: 116100/160000, loss: 0.0472, lr: 0.000016, batch_cost: 1.2252, reader_cost: 0.00021, ips: 1.6324 samples/sec | ETA 14:56:26 2021-08-23 06:01:06 [INFO] [TRAIN] epoch: 313, iter: 116110/160000, loss: 0.0465, lr: 0.000016, batch_cost: 1.2180, reader_cost: 0.00022, ips: 1.6420 samples/sec | ETA 14:50:59 2021-08-23 06:01:19 [INFO] [TRAIN] epoch: 313, iter: 116120/160000, loss: 0.0721, lr: 0.000016, batch_cost: 1.2386, reader_cost: 0.00021, ips: 1.6147 samples/sec | ETA 15:05:51 2021-08-23 06:01:31 [INFO] [TRAIN] epoch: 313, iter: 116130/160000, loss: 0.0549, lr: 0.000016, batch_cost: 1.2425, reader_cost: 0.00025, ips: 1.6097 samples/sec | ETA 15:08:28 2021-08-23 06:01:43 [INFO] [TRAIN] epoch: 313, iter: 116140/160000, loss: 0.0528, lr: 0.000016, batch_cost: 1.2296, reader_cost: 0.00023, ips: 1.6266 samples/sec | ETA 14:58:48 2021-08-23 06:01:56 [INFO] [TRAIN] epoch: 313, iter: 116150/160000, loss: 0.0566, lr: 0.000016, batch_cost: 1.2303, reader_cost: 0.00022, ips: 1.6256 samples/sec | ETA 14:59:07 2021-08-23 06:02:08 [INFO] [TRAIN] epoch: 313, iter: 116160/160000, loss: 0.0396, lr: 0.000016, batch_cost: 1.2184, reader_cost: 0.00023, ips: 1.6415 samples/sec | ETA 14:50:14 2021-08-23 06:02:20 [INFO] [TRAIN] epoch: 313, iter: 116170/160000, loss: 0.0527, lr: 0.000016, batch_cost: 1.2438, reader_cost: 0.00021, ips: 1.6080 samples/sec | ETA 15:08:35 2021-08-23 06:02:33 [INFO] [TRAIN] epoch: 313, iter: 116180/160000, loss: 0.0502, lr: 0.000016, batch_cost: 1.2516, reader_cost: 0.00022, ips: 1.5980 samples/sec | ETA 15:14:05 2021-08-23 06:02:45 [INFO] [TRAIN] epoch: 313, iter: 116190/160000, loss: 0.0534, lr: 0.000016, batch_cost: 1.2230, reader_cost: 0.00021, ips: 1.6353 samples/sec | ETA 14:52:59 2021-08-23 06:02:57 [INFO] [TRAIN] epoch: 313, iter: 116200/160000, loss: 0.0525, lr: 0.000016, batch_cost: 1.2285, reader_cost: 0.00022, ips: 1.6280 samples/sec | ETA 14:56:49 2021-08-23 06:03:10 [INFO] [TRAIN] epoch: 313, iter: 116210/160000, loss: 0.0577, lr: 0.000016, batch_cost: 1.2302, reader_cost: 0.00023, ips: 1.6258 samples/sec | ETA 14:57:49 2021-08-23 06:03:22 [INFO] [TRAIN] epoch: 313, iter: 116220/160000, loss: 0.0494, lr: 0.000016, batch_cost: 1.2345, reader_cost: 0.00022, ips: 1.6201 samples/sec | ETA 15:00:46 2021-08-23 06:03:34 [INFO] [TRAIN] epoch: 313, iter: 116230/160000, loss: 0.0560, lr: 0.000016, batch_cost: 1.2224, reader_cost: 0.00022, ips: 1.6362 samples/sec | ETA 14:51:43 2021-08-23 06:03:47 [INFO] [TRAIN] epoch: 313, iter: 116240/160000, loss: 0.0400, lr: 0.000016, batch_cost: 1.2344, reader_cost: 0.00021, ips: 1.6202 samples/sec | ETA 15:00:17 2021-08-23 06:03:59 [INFO] [TRAIN] epoch: 313, iter: 116250/160000, loss: 0.0465, lr: 0.000016, batch_cost: 1.2120, reader_cost: 0.00021, ips: 1.6502 samples/sec | ETA 14:43:44 2021-08-23 06:04:11 [INFO] [TRAIN] epoch: 313, iter: 116260/160000, loss: 0.0555, lr: 0.000016, batch_cost: 1.2313, reader_cost: 0.00023, ips: 1.6243 samples/sec | ETA 14:57:37 2021-08-23 06:04:23 [INFO] [TRAIN] epoch: 313, iter: 116270/160000, loss: 0.0551, lr: 0.000016, batch_cost: 1.2232, reader_cost: 0.00021, ips: 1.6351 samples/sec | ETA 14:51:29 2021-08-23 06:04:36 [INFO] [TRAIN] epoch: 313, iter: 116280/160000, loss: 0.0561, lr: 0.000016, batch_cost: 1.2295, reader_cost: 0.00076, ips: 1.6267 samples/sec | ETA 14:55:53 2021-08-23 06:04:48 [INFO] [TRAIN] epoch: 313, iter: 116290/160000, loss: 0.0440, lr: 0.000016, batch_cost: 1.2101, reader_cost: 0.00019, ips: 1.6527 samples/sec | ETA 14:41:35 2021-08-23 06:05:00 [INFO] [TRAIN] epoch: 313, iter: 116300/160000, loss: 0.0482, lr: 0.000016, batch_cost: 1.2231, reader_cost: 0.00021, ips: 1.6352 samples/sec | ETA 14:50:50 2021-08-23 06:05:12 [INFO] [TRAIN] epoch: 313, iter: 116310/160000, loss: 0.0503, lr: 0.000016, batch_cost: 1.2222, reader_cost: 0.00021, ips: 1.6364 samples/sec | ETA 14:49:56 2021-08-23 06:05:24 [INFO] [TRAIN] epoch: 313, iter: 116320/160000, loss: 0.0499, lr: 0.000016, batch_cost: 1.2179, reader_cost: 0.00023, ips: 1.6422 samples/sec | ETA 14:46:36 2021-08-23 06:05:36 [INFO] [TRAIN] epoch: 313, iter: 116330/160000, loss: 0.0423, lr: 0.000016, batch_cost: 1.2065, reader_cost: 0.00019, ips: 1.6577 samples/sec | ETA 14:38:07 2021-08-23 06:05:48 [INFO] [TRAIN] epoch: 313, iter: 116340/160000, loss: 0.0447, lr: 0.000016, batch_cost: 1.2053, reader_cost: 0.00020, ips: 1.6594 samples/sec | ETA 14:37:02 2021-08-23 06:06:01 [INFO] [TRAIN] epoch: 313, iter: 116350/160000, loss: 0.0547, lr: 0.000016, batch_cost: 1.2183, reader_cost: 0.00022, ips: 1.6416 samples/sec | ETA 14:46:20 2021-08-23 06:06:13 [INFO] [TRAIN] epoch: 313, iter: 116360/160000, loss: 0.0491, lr: 0.000016, batch_cost: 1.2149, reader_cost: 0.00022, ips: 1.6463 samples/sec | ETA 14:43:36 2021-08-23 06:06:25 [INFO] [TRAIN] epoch: 313, iter: 116370/160000, loss: 0.0522, lr: 0.000016, batch_cost: 1.2145, reader_cost: 0.00022, ips: 1.6467 samples/sec | ETA 14:43:10 2021-08-23 06:06:37 [INFO] [TRAIN] epoch: 313, iter: 116380/160000, loss: 0.0495, lr: 0.000016, batch_cost: 1.2144, reader_cost: 0.00022, ips: 1.6469 samples/sec | ETA 14:42:53 2021-08-23 06:06:49 [INFO] [TRAIN] epoch: 313, iter: 116390/160000, loss: 0.0471, lr: 0.000016, batch_cost: 1.2142, reader_cost: 0.00021, ips: 1.6472 samples/sec | ETA 14:42:29 2021-08-23 06:07:01 [INFO] [TRAIN] epoch: 313, iter: 116400/160000, loss: 0.0463, lr: 0.000016, batch_cost: 1.2118, reader_cost: 0.00022, ips: 1.6505 samples/sec | ETA 14:40:33 2021-08-23 06:07:14 [INFO] [TRAIN] epoch: 313, iter: 116410/160000, loss: 0.0516, lr: 0.000016, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6332 samples/sec | ETA 14:49:41 2021-08-23 06:07:26 [INFO] [TRAIN] epoch: 313, iter: 116420/160000, loss: 0.0566, lr: 0.000016, batch_cost: 1.2286, reader_cost: 0.00023, ips: 1.6279 samples/sec | ETA 14:52:22 2021-08-23 06:07:38 [INFO] [TRAIN] epoch: 313, iter: 116430/160000, loss: 0.0517, lr: 0.000016, batch_cost: 1.2002, reader_cost: 0.00019, ips: 1.6664 samples/sec | ETA 14:31:33 2021-08-23 06:07:52 [INFO] [TRAIN] epoch: 314, iter: 116440/160000, loss: 0.0470, lr: 0.000016, batch_cost: 1.4556, reader_cost: 0.23780, ips: 1.3740 samples/sec | ETA 17:36:46 2021-08-23 06:08:05 [INFO] [TRAIN] epoch: 314, iter: 116450/160000, loss: 0.0544, lr: 0.000016, batch_cost: 1.2238, reader_cost: 0.00085, ips: 1.6342 samples/sec | ETA 14:48:16 2021-08-23 06:08:17 [INFO] [TRAIN] epoch: 314, iter: 116460/160000, loss: 0.0525, lr: 0.000016, batch_cost: 1.2231, reader_cost: 0.00023, ips: 1.6352 samples/sec | ETA 14:47:32 2021-08-23 06:08:29 [INFO] [TRAIN] epoch: 314, iter: 116470/160000, loss: 0.0502, lr: 0.000016, batch_cost: 1.2377, reader_cost: 0.00022, ips: 1.6158 samples/sec | ETA 14:57:59 2021-08-23 06:08:42 [INFO] [TRAIN] epoch: 314, iter: 116480/160000, loss: 0.0575, lr: 0.000016, batch_cost: 1.2277, reader_cost: 0.00021, ips: 1.6291 samples/sec | ETA 14:50:29 2021-08-23 06:08:54 [INFO] [TRAIN] epoch: 314, iter: 116490/160000, loss: 0.0501, lr: 0.000016, batch_cost: 1.2308, reader_cost: 0.00021, ips: 1.6249 samples/sec | ETA 14:52:34 2021-08-23 06:09:06 [INFO] [TRAIN] epoch: 314, iter: 116500/160000, loss: 0.0520, lr: 0.000016, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 14:47:32 2021-08-23 06:09:19 [INFO] [TRAIN] epoch: 314, iter: 116510/160000, loss: 0.0542, lr: 0.000016, batch_cost: 1.2565, reader_cost: 0.00021, ips: 1.5917 samples/sec | ETA 15:10:44 2021-08-23 06:09:31 [INFO] [TRAIN] epoch: 314, iter: 116520/160000, loss: 0.0463, lr: 0.000016, batch_cost: 1.2291, reader_cost: 0.00021, ips: 1.6272 samples/sec | ETA 14:50:42 2021-08-23 06:09:43 [INFO] [TRAIN] epoch: 314, iter: 116530/160000, loss: 0.0533, lr: 0.000016, batch_cost: 1.2224, reader_cost: 0.00022, ips: 1.6361 samples/sec | ETA 14:45:38 2021-08-23 06:09:55 [INFO] [TRAIN] epoch: 314, iter: 116540/160000, loss: 0.0466, lr: 0.000016, batch_cost: 1.2256, reader_cost: 0.00022, ips: 1.6319 samples/sec | ETA 14:47:43 2021-08-23 06:10:08 [INFO] [TRAIN] epoch: 314, iter: 116550/160000, loss: 0.0458, lr: 0.000016, batch_cost: 1.2244, reader_cost: 0.00022, ips: 1.6335 samples/sec | ETA 14:46:39 2021-08-23 06:10:20 [INFO] [TRAIN] epoch: 314, iter: 116560/160000, loss: 0.0629, lr: 0.000016, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6360 samples/sec | ETA 14:45:05 2021-08-23 06:10:32 [INFO] [TRAIN] epoch: 314, iter: 116570/160000, loss: 0.0488, lr: 0.000016, batch_cost: 1.2376, reader_cost: 0.00022, ips: 1.6161 samples/sec | ETA 14:55:47 2021-08-23 06:10:45 [INFO] [TRAIN] epoch: 314, iter: 116580/160000, loss: 0.0435, lr: 0.000016, batch_cost: 1.2213, reader_cost: 0.00022, ips: 1.6376 samples/sec | ETA 14:43:48 2021-08-23 06:10:57 [INFO] [TRAIN] epoch: 314, iter: 116590/160000, loss: 0.0466, lr: 0.000016, batch_cost: 1.2276, reader_cost: 0.00021, ips: 1.6292 samples/sec | ETA 14:48:08 2021-08-23 06:11:09 [INFO] [TRAIN] epoch: 314, iter: 116600/160000, loss: 0.0507, lr: 0.000016, batch_cost: 1.2266, reader_cost: 0.00020, ips: 1.6305 samples/sec | ETA 14:47:14 2021-08-23 06:11:21 [INFO] [TRAIN] epoch: 314, iter: 116610/160000, loss: 0.0497, lr: 0.000016, batch_cost: 1.2423, reader_cost: 0.00022, ips: 1.6099 samples/sec | ETA 14:58:25 2021-08-23 06:11:34 [INFO] [TRAIN] epoch: 314, iter: 116620/160000, loss: 0.0525, lr: 0.000016, batch_cost: 1.2331, reader_cost: 0.00022, ips: 1.6220 samples/sec | ETA 14:51:30 2021-08-23 06:11:46 [INFO] [TRAIN] epoch: 314, iter: 116630/160000, loss: 0.0507, lr: 0.000016, batch_cost: 1.2332, reader_cost: 0.00023, ips: 1.6218 samples/sec | ETA 14:51:24 2021-08-23 06:11:58 [INFO] [TRAIN] epoch: 314, iter: 116640/160000, loss: 0.0496, lr: 0.000016, batch_cost: 1.2228, reader_cost: 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loss: 0.0440, lr: 0.000016, batch_cost: 1.2523, reader_cost: 0.00022, ips: 1.5971 samples/sec | ETA 15:03:44 2021-08-23 06:13:25 [INFO] [TRAIN] epoch: 314, iter: 116710/160000, loss: 0.0482, lr: 0.000016, batch_cost: 1.2382, reader_cost: 0.00022, ips: 1.6152 samples/sec | ETA 14:53:23 2021-08-23 06:13:37 [INFO] [TRAIN] epoch: 314, iter: 116720/160000, loss: 0.0555, lr: 0.000016, batch_cost: 1.2416, reader_cost: 0.00020, ips: 1.6108 samples/sec | ETA 14:55:36 2021-08-23 06:13:49 [INFO] [TRAIN] epoch: 314, iter: 116730/160000, loss: 0.0528, lr: 0.000016, batch_cost: 1.2165, reader_cost: 0.00022, ips: 1.6441 samples/sec | ETA 14:37:17 2021-08-23 06:14:02 [INFO] [TRAIN] epoch: 314, iter: 116740/160000, loss: 0.0399, lr: 0.000016, batch_cost: 1.2199, reader_cost: 0.00022, ips: 1.6394 samples/sec | ETA 14:39:33 2021-08-23 06:14:14 [INFO] [TRAIN] epoch: 314, iter: 116750/160000, loss: 0.0522, lr: 0.000016, batch_cost: 1.2397, reader_cost: 0.00024, ips: 1.6133 samples/sec | ETA 14:53:35 2021-08-23 06:14:26 [INFO] [TRAIN] epoch: 314, iter: 116760/160000, loss: 0.0481, lr: 0.000016, batch_cost: 1.2501, reader_cost: 0.00024, ips: 1.5999 samples/sec | ETA 15:00:54 2021-08-23 06:14:39 [INFO] [TRAIN] epoch: 314, iter: 116770/160000, loss: 0.0550, lr: 0.000016, batch_cost: 1.2139, reader_cost: 0.00022, ips: 1.6476 samples/sec | ETA 14:34:37 2021-08-23 06:14:51 [INFO] [TRAIN] epoch: 314, iter: 116780/160000, loss: 0.0519, lr: 0.000016, batch_cost: 1.2237, reader_cost: 0.00022, ips: 1.6344 samples/sec | ETA 14:41:26 2021-08-23 06:15:03 [INFO] [TRAIN] epoch: 314, iter: 116790/160000, loss: 0.0580, lr: 0.000016, batch_cost: 1.2219, reader_cost: 0.00023, ips: 1.6368 samples/sec | ETA 14:39:56 2021-08-23 06:15:15 [INFO] [TRAIN] epoch: 314, iter: 116800/160000, loss: 0.0451, lr: 0.000016, batch_cost: 1.1972, reader_cost: 0.00019, ips: 1.6706 samples/sec | ETA 14:21:59 2021-08-23 06:15:30 [INFO] [TRAIN] epoch: 315, iter: 116810/160000, loss: 0.0570, lr: 0.000016, batch_cost: 1.4797, reader_cost: 0.22989, ips: 1.3517 samples/sec | ETA 17:45:06 2021-08-23 06:15:42 [INFO] [TRAIN] epoch: 315, iter: 116820/160000, loss: 0.0495, lr: 0.000016, batch_cost: 1.2286, reader_cost: 0.00088, ips: 1.6278 samples/sec | ETA 14:44:11 2021-08-23 06:15:54 [INFO] [TRAIN] epoch: 315, iter: 116830/160000, loss: 0.0529, lr: 0.000016, batch_cost: 1.2271, reader_cost: 0.00020, ips: 1.6298 samples/sec | ETA 14:42:54 2021-08-23 06:16:07 [INFO] [TRAIN] epoch: 315, iter: 116840/160000, loss: 0.0545, lr: 0.000016, batch_cost: 1.2280, reader_cost: 0.00023, ips: 1.6287 samples/sec | ETA 14:43:19 2021-08-23 06:16:19 [INFO] [TRAIN] epoch: 315, iter: 116850/160000, loss: 0.0523, lr: 0.000016, batch_cost: 1.2255, reader_cost: 0.00022, ips: 1.6319 samples/sec | ETA 14:41:22 2021-08-23 06:16:31 [INFO] [TRAIN] epoch: 315, iter: 116860/160000, loss: 0.0456, lr: 0.000016, batch_cost: 1.2330, reader_cost: 0.00023, ips: 1.6221 samples/sec | ETA 14:46:30 2021-08-23 06:16:44 [INFO] [TRAIN] epoch: 315, iter: 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14:35:09 2021-08-23 06:17:57 [INFO] [TRAIN] epoch: 315, iter: 116930/160000, loss: 0.0580, lr: 0.000016, batch_cost: 1.2167, reader_cost: 0.00022, ips: 1.6439 samples/sec | ETA 14:33:21 2021-08-23 06:18:09 [INFO] [TRAIN] epoch: 315, iter: 116940/160000, loss: 0.0584, lr: 0.000016, batch_cost: 1.2173, reader_cost: 0.00023, ips: 1.6430 samples/sec | ETA 14:33:37 2021-08-23 06:18:21 [INFO] [TRAIN] epoch: 315, iter: 116950/160000, loss: 0.0564, lr: 0.000016, batch_cost: 1.2380, reader_cost: 0.00021, ips: 1.6155 samples/sec | ETA 14:48:16 2021-08-23 06:18:33 [INFO] [TRAIN] epoch: 315, iter: 116960/160000, loss: 0.0433, lr: 0.000016, batch_cost: 1.2251, reader_cost: 0.00023, ips: 1.6325 samples/sec | ETA 14:38:50 2021-08-23 06:18:46 [INFO] [TRAIN] epoch: 315, iter: 116970/160000, loss: 0.0467, lr: 0.000016, batch_cost: 1.2291, reader_cost: 0.00023, ips: 1.6272 samples/sec | ETA 14:41:27 2021-08-23 06:18:58 [INFO] [TRAIN] epoch: 315, iter: 116980/160000, loss: 0.0400, lr: 0.000016, batch_cost: 1.2182, reader_cost: 0.00074, ips: 1.6417 samples/sec | ETA 14:33:27 2021-08-23 06:19:10 [INFO] [TRAIN] epoch: 315, iter: 116990/160000, loss: 0.0513, lr: 0.000016, batch_cost: 1.2255, reader_cost: 0.00022, ips: 1.6319 samples/sec | ETA 14:38:30 2021-08-23 06:19:22 [INFO] [TRAIN] epoch: 315, iter: 117000/160000, loss: 0.0476, lr: 0.000016, batch_cost: 1.2145, reader_cost: 0.00022, ips: 1.6468 samples/sec | ETA 14:30:22 2021-08-23 06:19:34 [INFO] [TRAIN] epoch: 315, iter: 117010/160000, loss: 0.0543, lr: 0.000016, batch_cost: 1.2107, reader_cost: 0.00021, ips: 1.6519 samples/sec | ETA 14:27:28 2021-08-23 06:19:47 [INFO] [TRAIN] epoch: 315, iter: 117020/160000, loss: 0.0454, lr: 0.000016, batch_cost: 1.2168, reader_cost: 0.00023, ips: 1.6437 samples/sec | ETA 14:31:36 2021-08-23 06:19:59 [INFO] [TRAIN] epoch: 315, iter: 117030/160000, loss: 0.0564, lr: 0.000016, batch_cost: 1.2348, reader_cost: 0.00080, ips: 1.6198 samples/sec | ETA 14:44:17 2021-08-23 06:20:11 [INFO] [TRAIN] epoch: 315, iter: 117040/160000, loss: 0.0592, lr: 0.000016, batch_cost: 1.2228, reader_cost: 0.00022, ips: 1.6356 samples/sec | ETA 14:35:31 2021-08-23 06:20:23 [INFO] [TRAIN] epoch: 315, iter: 117050/160000, loss: 0.0410, lr: 0.000016, batch_cost: 1.2216, reader_cost: 0.00022, ips: 1.6372 samples/sec | ETA 14:34:26 2021-08-23 06:20:36 [INFO] [TRAIN] epoch: 315, iter: 117060/160000, loss: 0.0588, lr: 0.000016, batch_cost: 1.2302, reader_cost: 0.00022, ips: 1.6257 samples/sec | ETA 14:40:25 2021-08-23 06:20:48 [INFO] [TRAIN] epoch: 315, iter: 117070/160000, loss: 0.0502, lr: 0.000016, batch_cost: 1.2236, reader_cost: 0.00023, ips: 1.6345 samples/sec | ETA 14:35:29 2021-08-23 06:21:00 [INFO] [TRAIN] epoch: 315, iter: 117080/160000, loss: 0.0547, lr: 0.000016, batch_cost: 1.2247, reader_cost: 0.00022, ips: 1.6330 samples/sec | ETA 14:36:04 2021-08-23 06:21:12 [INFO] [TRAIN] epoch: 315, iter: 117090/160000, loss: 0.0464, lr: 0.000016, batch_cost: 1.2337, reader_cost: 0.00020, ips: 1.6212 samples/sec | ETA 14:42:16 2021-08-23 06:21:25 [INFO] [TRAIN] epoch: 315, iter: 117100/160000, loss: 0.0491, lr: 0.000016, batch_cost: 1.2363, reader_cost: 0.00021, ips: 1.6177 samples/sec | ETA 14:43:57 2021-08-23 06:21:37 [INFO] [TRAIN] epoch: 315, iter: 117110/160000, loss: 0.0546, lr: 0.000016, batch_cost: 1.2380, reader_cost: 0.00022, ips: 1.6155 samples/sec | ETA 14:44:57 2021-08-23 06:21:49 [INFO] [TRAIN] epoch: 315, iter: 117120/160000, loss: 0.0481, lr: 0.000016, batch_cost: 1.2281, reader_cost: 0.00021, ips: 1.6285 samples/sec | ETA 14:37:42 2021-08-23 06:22:02 [INFO] [TRAIN] epoch: 315, iter: 117130/160000, loss: 0.0449, lr: 0.000016, batch_cost: 1.2404, reader_cost: 0.00020, ips: 1.6124 samples/sec | ETA 14:46:16 2021-08-23 06:22:14 [INFO] [TRAIN] epoch: 315, iter: 117140/160000, loss: 0.0620, lr: 0.000016, batch_cost: 1.2522, reader_cost: 0.00020, ips: 1.5972 samples/sec | ETA 14:54:27 2021-08-23 06:22:27 [INFO] [TRAIN] epoch: 315, iter: 117150/160000, loss: 0.0545, lr: 0.000016, batch_cost: 1.2251, reader_cost: 0.00020, ips: 1.6325 samples/sec | ETA 14:34:57 2021-08-23 06:22:39 [INFO] [TRAIN] epoch: 315, iter: 117160/160000, loss: 0.0517, lr: 0.000016, batch_cost: 1.2663, reader_cost: 0.00021, ips: 1.5795 samples/sec | ETA 15:04:06 2021-08-23 06:22:51 [INFO] [TRAIN] epoch: 315, iter: 117170/160000, loss: 0.0460, lr: 0.000016, batch_cost: 1.2161, reader_cost: 0.00021, ips: 1.6446 samples/sec | ETA 14:28:06 2021-08-23 06:23:03 [INFO] [TRAIN] epoch: 315, iter: 117180/160000, loss: 0.0536, lr: 0.000016, batch_cost: 1.1795, reader_cost: 0.00016, ips: 1.6956 samples/sec | ETA 14:01:47 2021-08-23 06:23:18 [INFO] [TRAIN] epoch: 316, iter: 117190/160000, loss: 0.0519, lr: 0.000016, batch_cost: 1.5084, reader_cost: 0.24533, ips: 1.3259 samples/sec | ETA 17:56:14 2021-08-23 06:23:31 [INFO] [TRAIN] epoch: 316, iter: 117200/160000, loss: 0.0592, lr: 0.000016, batch_cost: 1.2281, reader_cost: 0.00083, ips: 1.6285 samples/sec | ETA 14:36:02 2021-08-23 06:23:43 [INFO] [TRAIN] epoch: 316, iter: 117210/160000, loss: 0.0512, lr: 0.000016, batch_cost: 1.2153, reader_cost: 0.00023, ips: 1.6456 samples/sec | ETA 14:26:43 2021-08-23 06:23:55 [INFO] [TRAIN] epoch: 316, iter: 117220/160000, loss: 0.0528, lr: 0.000016, batch_cost: 1.2084, reader_cost: 0.00021, ips: 1.6551 samples/sec | ETA 14:21:33 2021-08-23 06:24:07 [INFO] [TRAIN] epoch: 316, iter: 117230/160000, loss: 0.0511, lr: 0.000016, batch_cost: 1.2308, reader_cost: 0.00021, ips: 1.6250 samples/sec | ETA 14:37:19 2021-08-23 06:24:20 [INFO] [TRAIN] epoch: 316, iter: 117240/160000, loss: 0.0528, lr: 0.000016, batch_cost: 1.2442, reader_cost: 0.00021, ips: 1.6074 samples/sec | ETA 14:46:43 2021-08-23 06:24:32 [INFO] [TRAIN] epoch: 316, iter: 117250/160000, loss: 0.0499, lr: 0.000016, batch_cost: 1.2446, reader_cost: 0.00022, ips: 1.6070 samples/sec | ETA 14:46:45 2021-08-23 06:24:44 [INFO] [TRAIN] epoch: 316, iter: 117260/160000, loss: 0.0486, lr: 0.000016, batch_cost: 1.2206, reader_cost: 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loss: 0.0602, lr: 0.000016, batch_cost: 1.2218, reader_cost: 0.00022, ips: 1.6369 samples/sec | ETA 14:29:05 2021-08-23 06:26:10 [INFO] [TRAIN] epoch: 316, iter: 117330/160000, loss: 0.0474, lr: 0.000016, batch_cost: 1.2278, reader_cost: 0.00020, ips: 1.6289 samples/sec | ETA 14:33:10 2021-08-23 06:26:22 [INFO] [TRAIN] epoch: 316, iter: 117340/160000, loss: 0.0493, lr: 0.000016, batch_cost: 1.2214, reader_cost: 0.00021, ips: 1.6374 samples/sec | ETA 14:28:25 2021-08-23 06:26:34 [INFO] [TRAIN] epoch: 316, iter: 117350/160000, loss: 0.0456, lr: 0.000016, batch_cost: 1.2256, reader_cost: 0.00020, ips: 1.6318 samples/sec | ETA 14:31:13 2021-08-23 06:26:47 [INFO] [TRAIN] epoch: 316, iter: 117360/160000, loss: 0.0476, lr: 0.000016, batch_cost: 1.2357, reader_cost: 0.00021, ips: 1.6185 samples/sec | ETA 14:38:11 2021-08-23 06:26:59 [INFO] [TRAIN] epoch: 316, iter: 117370/160000, loss: 0.0476, lr: 0.000016, batch_cost: 1.2094, reader_cost: 0.00022, ips: 1.6537 samples/sec | ETA 14:19:17 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14:19:41 2021-08-23 06:30:40 [INFO] [TRAIN] epoch: 316, iter: 117550/160000, loss: 0.0585, lr: 0.000016, batch_cost: 1.1821, reader_cost: 0.00016, ips: 1.6919 samples/sec | ETA 13:56:19 2021-08-23 06:30:55 [INFO] [TRAIN] epoch: 317, iter: 117560/160000, loss: 0.0559, lr: 0.000016, batch_cost: 1.4856, reader_cost: 0.19421, ips: 1.3463 samples/sec | ETA 17:30:47 2021-08-23 06:31:07 [INFO] [TRAIN] epoch: 317, iter: 117570/160000, loss: 0.0486, lr: 0.000016, batch_cost: 1.2366, reader_cost: 0.00076, ips: 1.6174 samples/sec | ETA 14:34:28 2021-08-23 06:31:19 [INFO] [TRAIN] epoch: 317, iter: 117580/160000, loss: 0.0577, lr: 0.000016, batch_cost: 1.2162, reader_cost: 0.00020, ips: 1.6444 samples/sec | ETA 14:19:52 2021-08-23 06:31:32 [INFO] [TRAIN] epoch: 317, iter: 117590/160000, loss: 0.0494, lr: 0.000016, batch_cost: 1.2174, reader_cost: 0.00020, ips: 1.6428 samples/sec | ETA 14:20:30 2021-08-23 06:31:44 [INFO] [TRAIN] epoch: 317, iter: 117600/160000, loss: 0.0448, lr: 0.000016, batch_cost: 1.2262, reader_cost: 0.00021, ips: 1.6310 samples/sec | ETA 14:26:32 2021-08-23 06:31:56 [INFO] [TRAIN] epoch: 317, iter: 117610/160000, loss: 0.0533, lr: 0.000016, batch_cost: 1.2197, reader_cost: 0.00021, ips: 1.6398 samples/sec | ETA 14:21:42 2021-08-23 06:32:09 [INFO] [TRAIN] epoch: 317, iter: 117620/160000, loss: 0.0587, lr: 0.000016, batch_cost: 1.2464, reader_cost: 0.00023, ips: 1.6046 samples/sec | ETA 14:40:22 2021-08-23 06:32:21 [INFO] [TRAIN] epoch: 317, iter: 117630/160000, loss: 0.0533, lr: 0.000016, batch_cost: 1.2231, reader_cost: 0.00024, ips: 1.6352 samples/sec | ETA 14:23:43 2021-08-23 06:32:33 [INFO] [TRAIN] epoch: 317, iter: 117640/160000, loss: 0.0567, lr: 0.000016, batch_cost: 1.2318, reader_cost: 0.00022, ips: 1.6237 samples/sec | ETA 14:29:38 2021-08-23 06:32:45 [INFO] [TRAIN] epoch: 317, iter: 117650/160000, loss: 0.0431, lr: 0.000016, batch_cost: 1.2364, reader_cost: 0.00024, ips: 1.6176 samples/sec | ETA 14:32:40 2021-08-23 06:32:58 [INFO] [TRAIN] epoch: 317, iter: 117660/160000, loss: 0.0355, lr: 0.000016, batch_cost: 1.2319, reader_cost: 0.00022, ips: 1.6235 samples/sec | ETA 14:29:20 2021-08-23 06:33:10 [INFO] [TRAIN] epoch: 317, iter: 117670/160000, loss: 0.0493, lr: 0.000016, batch_cost: 1.2296, reader_cost: 0.00021, ips: 1.6265 samples/sec | ETA 14:27:29 2021-08-23 06:33:23 [INFO] [TRAIN] epoch: 317, iter: 117680/160000, loss: 0.0474, lr: 0.000016, batch_cost: 1.2470, reader_cost: 0.00022, ips: 1.6038 samples/sec | ETA 14:39:35 2021-08-23 06:33:35 [INFO] [TRAIN] epoch: 317, iter: 117690/160000, loss: 0.0434, lr: 0.000016, batch_cost: 1.2188, reader_cost: 0.00022, ips: 1.6409 samples/sec | ETA 14:19:29 2021-08-23 06:33:47 [INFO] [TRAIN] epoch: 317, iter: 117700/160000, loss: 0.0575, lr: 0.000016, batch_cost: 1.2127, reader_cost: 0.00020, ips: 1.6492 samples/sec | ETA 14:14:58 2021-08-23 06:33:59 [INFO] [TRAIN] epoch: 317, iter: 117710/160000, loss: 0.0513, lr: 0.000016, batch_cost: 1.2227, reader_cost: 0.00023, ips: 1.6357 samples/sec | ETA 14:21:48 2021-08-23 06:34:11 [INFO] [TRAIN] epoch: 317, iter: 117720/160000, loss: 0.0603, lr: 0.000016, batch_cost: 1.2191, reader_cost: 0.00022, ips: 1.6406 samples/sec | ETA 14:19:03 2021-08-23 06:34:23 [INFO] [TRAIN] epoch: 317, iter: 117730/160000, loss: 0.0559, lr: 0.000016, batch_cost: 1.2082, reader_cost: 0.00074, ips: 1.6553 samples/sec | ETA 14:11:10 2021-08-23 06:34:36 [INFO] [TRAIN] epoch: 317, iter: 117740/160000, loss: 0.0492, lr: 0.000016, batch_cost: 1.2234, reader_cost: 0.00021, ips: 1.6348 samples/sec | ETA 14:21:39 2021-08-23 06:34:48 [INFO] [TRAIN] epoch: 317, iter: 117750/160000, loss: 0.0508, lr: 0.000016, batch_cost: 1.2140, reader_cost: 0.00021, ips: 1.6475 samples/sec | ETA 14:14:49 2021-08-23 06:35:00 [INFO] [TRAIN] epoch: 317, iter: 117760/160000, loss: 0.0582, lr: 0.000016, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6384 samples/sec | ETA 14:19:22 2021-08-23 06:35:12 [INFO] [TRAIN] epoch: 317, iter: 117770/160000, loss: 0.0616, lr: 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[INFO] [TRAIN] epoch: 317, iter: 117830/160000, loss: 0.0509, lr: 0.000016, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6339 samples/sec | ETA 14:20:19 2021-08-23 06:36:38 [INFO] [TRAIN] epoch: 317, iter: 117840/160000, loss: 0.0672, lr: 0.000016, batch_cost: 1.2125, reader_cost: 0.00022, ips: 1.6495 samples/sec | ETA 14:11:58 2021-08-23 06:36:50 [INFO] [TRAIN] epoch: 317, iter: 117850/160000, loss: 0.0597, lr: 0.000016, batch_cost: 1.2299, reader_cost: 0.00022, ips: 1.6261 samples/sec | ETA 14:24:00 2021-08-23 06:37:02 [INFO] [TRAIN] epoch: 317, iter: 117860/160000, loss: 0.0505, lr: 0.000016, batch_cost: 1.2140, reader_cost: 0.00022, ips: 1.6474 samples/sec | ETA 14:12:39 2021-08-23 06:37:15 [INFO] [TRAIN] epoch: 317, iter: 117870/160000, loss: 0.0518, lr: 0.000016, batch_cost: 1.2280, reader_cost: 0.00021, ips: 1.6287 samples/sec | ETA 14:22:14 2021-08-23 06:37:27 [INFO] [TRAIN] epoch: 317, iter: 117880/160000, loss: 0.0474, lr: 0.000016, batch_cost: 1.2368, reader_cost: 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loss: 0.0568, lr: 0.000016, batch_cost: 1.2363, reader_cost: 0.00076, ips: 1.6177 samples/sec | ETA 14:26:40 2021-08-23 06:38:55 [INFO] [TRAIN] epoch: 318, iter: 117950/160000, loss: 0.0446, lr: 0.000016, batch_cost: 1.2131, reader_cost: 0.00021, ips: 1.6487 samples/sec | ETA 14:10:09 2021-08-23 06:39:07 [INFO] [TRAIN] epoch: 318, iter: 117960/160000, loss: 0.0606, lr: 0.000016, batch_cost: 1.2298, reader_cost: 0.00019, ips: 1.6262 samples/sec | ETA 14:21:41 2021-08-23 06:39:19 [INFO] [TRAIN] epoch: 318, iter: 117970/160000, loss: 0.0608, lr: 0.000016, batch_cost: 1.2072, reader_cost: 0.00020, ips: 1.6567 samples/sec | ETA 14:05:38 2021-08-23 06:39:32 [INFO] [TRAIN] epoch: 318, iter: 117980/160000, loss: 0.0392, lr: 0.000016, batch_cost: 1.2274, reader_cost: 0.00021, ips: 1.6295 samples/sec | ETA 14:19:34 2021-08-23 06:39:44 [INFO] [TRAIN] epoch: 318, iter: 117990/160000, loss: 0.0458, lr: 0.000016, batch_cost: 1.2343, reader_cost: 0.00022, ips: 1.6203 samples/sec | ETA 14:24:14 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reader_cost: 0.00022, ips: 1.6157 samples/sec | ETA 14:25:26 2021-08-23 06:41:10 [INFO] [TRAIN] epoch: 318, iter: 118060/160000, loss: 0.0528, lr: 0.000016, batch_cost: 1.2234, reader_cost: 0.00022, ips: 1.6348 samples/sec | ETA 14:15:07 2021-08-23 06:41:22 [INFO] [TRAIN] epoch: 318, iter: 118070/160000, loss: 0.0545, lr: 0.000016, batch_cost: 1.2267, reader_cost: 0.00022, ips: 1.6304 samples/sec | ETA 14:17:13 2021-08-23 06:41:34 [INFO] [TRAIN] epoch: 318, iter: 118080/160000, loss: 0.0424, lr: 0.000016, batch_cost: 1.2184, reader_cost: 0.00022, ips: 1.6415 samples/sec | ETA 14:11:14 2021-08-23 06:41:47 [INFO] [TRAIN] epoch: 318, iter: 118090/160000, loss: 0.0453, lr: 0.000016, batch_cost: 1.2246, reader_cost: 0.00023, ips: 1.6332 samples/sec | ETA 14:15:22 2021-08-23 06:41:59 [INFO] [TRAIN] epoch: 318, iter: 118100/160000, loss: 0.0546, lr: 0.000016, batch_cost: 1.2122, reader_cost: 0.00022, ips: 1.6499 samples/sec | ETA 14:06:29 2021-08-23 06:42:11 [INFO] [TRAIN] epoch: 318, iter: 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14:29:48 2021-08-23 06:43:25 [INFO] [TRAIN] epoch: 318, iter: 118170/160000, loss: 0.0602, lr: 0.000016, batch_cost: 1.2262, reader_cost: 0.00022, ips: 1.6311 samples/sec | ETA 14:14:52 2021-08-23 06:43:37 [INFO] [TRAIN] epoch: 318, iter: 118180/160000, loss: 0.0449, lr: 0.000016, batch_cost: 1.2542, reader_cost: 0.00023, ips: 1.5946 samples/sec | ETA 14:34:12 2021-08-23 06:43:50 [INFO] [TRAIN] epoch: 318, iter: 118190/160000, loss: 0.0491, lr: 0.000016, batch_cost: 1.2186, reader_cost: 0.00022, ips: 1.6412 samples/sec | ETA 14:09:10 2021-08-23 06:44:02 [INFO] [TRAIN] epoch: 318, iter: 118200/160000, loss: 0.0486, lr: 0.000016, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6332 samples/sec | ETA 14:13:07 2021-08-23 06:44:14 [INFO] [TRAIN] epoch: 318, iter: 118210/160000, loss: 0.0442, lr: 0.000016, batch_cost: 1.2208, reader_cost: 0.00021, ips: 1.6382 samples/sec | ETA 14:10:17 2021-08-23 06:44:26 [INFO] [TRAIN] epoch: 318, iter: 118220/160000, loss: 0.0454, lr: 0.000016, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6413 samples/sec | ETA 14:08:29 2021-08-23 06:44:39 [INFO] [TRAIN] epoch: 318, iter: 118230/160000, loss: 0.0515, lr: 0.000016, batch_cost: 1.2485, reader_cost: 0.00022, ips: 1.6019 samples/sec | ETA 14:29:10 2021-08-23 06:44:51 [INFO] [TRAIN] epoch: 318, iter: 118240/160000, loss: 0.0472, lr: 0.000016, batch_cost: 1.2443, reader_cost: 0.00022, ips: 1.6074 samples/sec | ETA 14:26:00 2021-08-23 06:45:03 [INFO] [TRAIN] epoch: 318, iter: 118250/160000, loss: 0.0479, lr: 0.000016, batch_cost: 1.2267, reader_cost: 0.00022, ips: 1.6304 samples/sec | ETA 14:13:33 2021-08-23 06:45:16 [INFO] [TRAIN] epoch: 318, iter: 118260/160000, loss: 0.0421, lr: 0.000016, batch_cost: 1.2274, reader_cost: 0.00021, ips: 1.6295 samples/sec | ETA 14:13:50 2021-08-23 06:45:28 [INFO] [TRAIN] epoch: 318, iter: 118270/160000, loss: 0.0472, lr: 0.000016, batch_cost: 1.2214, reader_cost: 0.00022, ips: 1.6375 samples/sec | ETA 14:09:27 2021-08-23 06:45:40 [INFO] [TRAIN] epoch: 318, iter: 118280/160000, loss: 0.0456, lr: 0.000016, batch_cost: 1.2223, reader_cost: 0.00022, ips: 1.6362 samples/sec | ETA 14:09:55 2021-08-23 06:45:52 [INFO] [TRAIN] epoch: 318, iter: 118290/160000, loss: 0.0509, lr: 0.000016, batch_cost: 1.1952, reader_cost: 0.00018, ips: 1.6733 samples/sec | ETA 13:50:52 2021-08-23 06:46:07 [INFO] [TRAIN] epoch: 319, iter: 118300/160000, loss: 0.0544, lr: 0.000016, batch_cost: 1.4899, reader_cost: 0.22723, ips: 1.3423 samples/sec | ETA 17:15:30 2021-08-23 06:46:19 [INFO] [TRAIN] epoch: 319, iter: 118310/160000, loss: 0.0559, lr: 0.000016, batch_cost: 1.2141, reader_cost: 0.00080, ips: 1.6473 samples/sec | ETA 14:03:34 2021-08-23 06:46:31 [INFO] [TRAIN] epoch: 319, iter: 118320/160000, loss: 0.0560, lr: 0.000016, batch_cost: 1.2148, reader_cost: 0.00022, ips: 1.6464 samples/sec | ETA 14:03:50 2021-08-23 06:46:44 [INFO] [TRAIN] epoch: 319, iter: 118330/160000, loss: 0.0526, lr: 0.000016, batch_cost: 1.2303, reader_cost: 0.00020, ips: 1.6256 samples/sec | ETA 14:14:27 2021-08-23 06:46:56 [INFO] [TRAIN] epoch: 319, iter: 118340/160000, loss: 0.0551, lr: 0.000016, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6373 samples/sec | ETA 14:08:08 2021-08-23 06:47:08 [INFO] [TRAIN] epoch: 319, iter: 118350/160000, loss: 0.0640, lr: 0.000016, batch_cost: 1.2102, reader_cost: 0.00021, ips: 1.6526 samples/sec | ETA 14:00:04 2021-08-23 06:47:20 [INFO] [TRAIN] epoch: 319, iter: 118360/160000, loss: 0.0524, lr: 0.000016, batch_cost: 1.2297, reader_cost: 0.00021, ips: 1.6265 samples/sec | ETA 14:13:23 2021-08-23 06:47:32 [INFO] [TRAIN] epoch: 319, iter: 118370/160000, loss: 0.0467, lr: 0.000016, batch_cost: 1.2266, reader_cost: 0.00020, ips: 1.6305 samples/sec | ETA 14:11:03 2021-08-23 06:47:45 [INFO] [TRAIN] epoch: 319, iter: 118380/160000, loss: 0.0550, lr: 0.000016, batch_cost: 1.2219, reader_cost: 0.00020, ips: 1.6368 samples/sec | ETA 14:07:34 2021-08-23 06:47:57 [INFO] [TRAIN] epoch: 319, iter: 118390/160000, loss: 0.0535, lr: 0.000016, batch_cost: 1.2096, reader_cost: 0.00022, ips: 1.6535 samples/sec | ETA 13:58:51 2021-08-23 06:48:09 [INFO] [TRAIN] epoch: 319, iter: 118400/160000, loss: 0.0491, lr: 0.000016, batch_cost: 1.2208, reader_cost: 0.00023, ips: 1.6382 samples/sec | ETA 14:06:26 2021-08-23 06:48:21 [INFO] [TRAIN] epoch: 319, iter: 118410/160000, loss: 0.0473, lr: 0.000016, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6369 samples/sec | ETA 14:06:55 2021-08-23 06:48:33 [INFO] [TRAIN] epoch: 319, iter: 118420/160000, loss: 0.0604, lr: 0.000016, batch_cost: 1.2250, reader_cost: 0.00021, ips: 1.6327 samples/sec | ETA 14:08:54 2021-08-23 06:48:46 [INFO] [TRAIN] epoch: 319, iter: 118430/160000, loss: 0.0425, lr: 0.000016, batch_cost: 1.2257, reader_cost: 0.00021, ips: 1.6317 samples/sec | ETA 14:09:11 2021-08-23 06:48:58 [INFO] [TRAIN] epoch: 319, iter: 118440/160000, loss: 0.0608, lr: 0.000016, batch_cost: 1.2360, reader_cost: 0.00022, ips: 1.6181 samples/sec | ETA 14:16:10 2021-08-23 06:49:10 [INFO] [TRAIN] epoch: 319, iter: 118450/160000, loss: 0.0475, lr: 0.000016, batch_cost: 1.2391, reader_cost: 0.00023, ips: 1.6141 samples/sec | ETA 14:18:04 2021-08-23 06:49:23 [INFO] [TRAIN] epoch: 319, iter: 118460/160000, loss: 0.0553, lr: 0.000016, batch_cost: 1.2180, reader_cost: 0.00023, ips: 1.6421 samples/sec | ETA 14:03:13 2021-08-23 06:49:35 [INFO] [TRAIN] epoch: 319, iter: 118470/160000, loss: 0.0545, lr: 0.000016, batch_cost: 1.2337, reader_cost: 0.00077, ips: 1.6211 samples/sec | ETA 14:13:57 2021-08-23 06:49:47 [INFO] [TRAIN] epoch: 319, iter: 118480/160000, loss: 0.0539, lr: 0.000016, batch_cost: 1.2365, reader_cost: 0.00022, ips: 1.6174 samples/sec | ETA 14:15:41 2021-08-23 06:50:00 [INFO] [TRAIN] epoch: 319, iter: 118490/160000, loss: 0.0534, lr: 0.000016, batch_cost: 1.2321, reader_cost: 0.00022, ips: 1.6232 samples/sec | ETA 14:12:26 2021-08-23 06:50:12 [INFO] [TRAIN] epoch: 319, iter: 118500/160000, loss: 0.0477, lr: 0.000016, batch_cost: 1.2327, reader_cost: 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loss: 0.0584, lr: 0.000016, batch_cost: 1.2346, reader_cost: 0.00023, ips: 1.6200 samples/sec | ETA 14:12:41 2021-08-23 06:51:38 [INFO] [TRAIN] epoch: 319, iter: 118570/160000, loss: 0.0508, lr: 0.000016, batch_cost: 1.2422, reader_cost: 0.00023, ips: 1.6101 samples/sec | ETA 14:17:43 2021-08-23 06:51:51 [INFO] [TRAIN] epoch: 319, iter: 118580/160000, loss: 0.0567, lr: 0.000016, batch_cost: 1.2296, reader_cost: 0.00023, ips: 1.6266 samples/sec | ETA 14:08:48 2021-08-23 06:52:03 [INFO] [TRAIN] epoch: 319, iter: 118590/160000, loss: 0.0541, lr: 0.000016, batch_cost: 1.2282, reader_cost: 0.00022, ips: 1.6284 samples/sec | ETA 14:07:40 2021-08-23 06:52:15 [INFO] [TRAIN] epoch: 319, iter: 118600/160000, loss: 0.0465, lr: 0.000016, batch_cost: 1.2162, reader_cost: 0.00023, ips: 1.6445 samples/sec | ETA 13:59:10 2021-08-23 06:52:27 [INFO] [TRAIN] epoch: 319, iter: 118610/160000, loss: 0.0561, lr: 0.000016, batch_cost: 1.2337, reader_cost: 0.00024, ips: 1.6212 samples/sec | ETA 14:11:00 2021-08-23 06:52:39 [INFO] [TRAIN] epoch: 319, iter: 118620/160000, loss: 0.0454, lr: 0.000016, batch_cost: 1.2125, reader_cost: 0.00022, ips: 1.6495 samples/sec | ETA 13:56:13 2021-08-23 06:52:52 [INFO] [TRAIN] epoch: 319, iter: 118630/160000, loss: 0.0580, lr: 0.000016, batch_cost: 1.2167, reader_cost: 0.00023, ips: 1.6438 samples/sec | ETA 13:58:53 2021-08-23 06:53:04 [INFO] [TRAIN] epoch: 319, iter: 118640/160000, loss: 0.0475, lr: 0.000016, batch_cost: 1.2166, reader_cost: 0.00023, ips: 1.6439 samples/sec | ETA 13:58:40 2021-08-23 06:53:16 [INFO] [TRAIN] epoch: 319, iter: 118650/160000, loss: 0.0522, lr: 0.000016, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6330 samples/sec | ETA 14:04:03 2021-08-23 06:53:28 [INFO] [TRAIN] epoch: 319, iter: 118660/160000, loss: 0.0478, lr: 0.000016, batch_cost: 1.2057, reader_cost: 0.00019, ips: 1.6588 samples/sec | ETA 13:50:43 2021-08-23 06:53:43 [INFO] [TRAIN] epoch: 320, iter: 118670/160000, loss: 0.0513, lr: 0.000015, batch_cost: 1.4551, reader_cost: 0.21145, ips: 1.3745 samples/sec | ETA 16:42:17 2021-08-23 06:53:55 [INFO] [TRAIN] epoch: 320, iter: 118680/160000, loss: 0.0507, lr: 0.000015, batch_cost: 1.2334, reader_cost: 0.00087, ips: 1.6215 samples/sec | ETA 14:09:23 2021-08-23 06:54:07 [INFO] [TRAIN] epoch: 320, iter: 118690/160000, loss: 0.0487, lr: 0.000015, batch_cost: 1.2282, reader_cost: 0.00026, ips: 1.6284 samples/sec | ETA 14:05:38 2021-08-23 06:54:20 [INFO] [TRAIN] epoch: 320, iter: 118700/160000, loss: 0.0514, lr: 0.000015, batch_cost: 1.2233, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 14:02:01 2021-08-23 06:54:32 [INFO] [TRAIN] epoch: 320, iter: 118710/160000, loss: 0.0447, lr: 0.000015, batch_cost: 1.2384, reader_cost: 0.00021, ips: 1.6150 samples/sec | ETA 14:12:12 2021-08-23 06:54:44 [INFO] [TRAIN] epoch: 320, iter: 118720/160000, loss: 0.0560, lr: 0.000015, batch_cost: 1.2253, reader_cost: 0.00021, ips: 1.6322 samples/sec | ETA 14:03:02 2021-08-23 06:54:56 [INFO] [TRAIN] epoch: 320, iter: 118730/160000, loss: 0.0496, lr: 0.000015, batch_cost: 1.2319, reader_cost: 0.00023, ips: 1.6235 samples/sec | ETA 14:07:21 2021-08-23 06:55:09 [INFO] [TRAIN] epoch: 320, iter: 118740/160000, loss: 0.0473, lr: 0.000015, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6224 samples/sec | ETA 14:07:43 2021-08-23 06:55:21 [INFO] [TRAIN] epoch: 320, iter: 118750/160000, loss: 0.0464, lr: 0.000015, batch_cost: 1.2492, reader_cost: 0.00021, ips: 1.6010 samples/sec | ETA 14:18:50 2021-08-23 06:55:33 [INFO] [TRAIN] epoch: 320, iter: 118760/160000, loss: 0.0550, lr: 0.000015, batch_cost: 1.2120, reader_cost: 0.00021, ips: 1.6501 samples/sec | ETA 13:53:04 2021-08-23 06:55:46 [INFO] [TRAIN] epoch: 320, iter: 118770/160000, loss: 0.0522, lr: 0.000015, batch_cost: 1.2168, reader_cost: 0.00020, ips: 1.6436 samples/sec | ETA 13:56:09 2021-08-23 06:55:58 [INFO] [TRAIN] epoch: 320, iter: 118780/160000, loss: 0.0513, lr: 0.000015, batch_cost: 1.2402, reader_cost: 0.00019, ips: 1.6127 samples/sec | ETA 14:12:00 2021-08-23 06:56:10 [INFO] [TRAIN] epoch: 320, iter: 118790/160000, loss: 0.0495, lr: 0.000015, batch_cost: 1.2293, reader_cost: 0.00021, ips: 1.6269 samples/sec | ETA 14:04:19 2021-08-23 06:56:22 [INFO] [TRAIN] epoch: 320, iter: 118800/160000, loss: 0.0461, lr: 0.000015, batch_cost: 1.2129, reader_cost: 0.00020, ips: 1.6489 samples/sec | ETA 13:52:51 2021-08-23 06:56:35 [INFO] [TRAIN] epoch: 320, iter: 118810/160000, loss: 0.0531, lr: 0.000015, batch_cost: 1.2386, reader_cost: 0.00021, ips: 1.6148 samples/sec | ETA 14:10:17 2021-08-23 06:56:47 [INFO] [TRAIN] epoch: 320, iter: 118820/160000, loss: 0.0507, lr: 0.000015, batch_cost: 1.2352, reader_cost: 0.00021, ips: 1.6192 samples/sec | ETA 14:07:43 2021-08-23 06:57:00 [INFO] [TRAIN] epoch: 320, iter: 118830/160000, loss: 0.0508, lr: 0.000015, batch_cost: 1.2421, reader_cost: 0.00023, ips: 1.6101 samples/sec | ETA 14:12:18 2021-08-23 06:57:12 [INFO] [TRAIN] epoch: 320, iter: 118840/160000, loss: 0.0526, lr: 0.000015, batch_cost: 1.2456, reader_cost: 0.00023, ips: 1.6057 samples/sec | ETA 14:14:28 2021-08-23 06:57:24 [INFO] [TRAIN] epoch: 320, iter: 118850/160000, loss: 0.0502, lr: 0.000015, batch_cost: 1.2210, reader_cost: 0.00022, ips: 1.6380 samples/sec | ETA 13:57:25 2021-08-23 06:57:37 [INFO] [TRAIN] epoch: 320, iter: 118860/160000, loss: 0.0562, lr: 0.000015, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 14:01:00 2021-08-23 06:57:49 [INFO] [TRAIN] epoch: 320, iter: 118870/160000, loss: 0.0538, lr: 0.000015, batch_cost: 1.2271, reader_cost: 0.00021, ips: 1.6299 samples/sec | ETA 14:01:08 2021-08-23 06:58:01 [INFO] [TRAIN] epoch: 320, iter: 118880/160000, loss: 0.0634, lr: 0.000015, batch_cost: 1.2340, reader_cost: 0.00021, ips: 1.6207 samples/sec | ETA 14:05:42 2021-08-23 06:58:13 [INFO] [TRAIN] epoch: 320, iter: 118890/160000, loss: 0.0441, lr: 0.000015, batch_cost: 1.2309, reader_cost: 0.00020, ips: 1.6248 samples/sec | ETA 14:03:23 2021-08-23 06:58:26 [INFO] [TRAIN] epoch: 320, iter: 118900/160000, loss: 0.0604, lr: 0.000015, batch_cost: 1.2432, reader_cost: 0.00022, ips: 1.6088 samples/sec | ETA 14:11:35 2021-08-23 06:58:38 [INFO] [TRAIN] epoch: 320, iter: 118910/160000, loss: 0.0535, lr: 0.000015, batch_cost: 1.2369, reader_cost: 0.00020, ips: 1.6169 samples/sec | ETA 14:07:05 2021-08-23 06:58:50 [INFO] [TRAIN] epoch: 320, iter: 118920/160000, loss: 0.0556, lr: 0.000015, batch_cost: 1.2148, reader_cost: 0.00020, ips: 1.6464 samples/sec | ETA 13:51:43 2021-08-23 06:59:03 [INFO] [TRAIN] epoch: 320, iter: 118930/160000, loss: 0.0483, lr: 0.000015, batch_cost: 1.2235, reader_cost: 0.00024, ips: 1.6347 samples/sec | ETA 13:57:27 2021-08-23 06:59:15 [INFO] [TRAIN] epoch: 320, iter: 118940/160000, loss: 0.0644, lr: 0.000015, batch_cost: 1.2447, reader_cost: 0.00026, ips: 1.6068 samples/sec | ETA 14:11:48 2021-08-23 06:59:27 [INFO] [TRAIN] epoch: 320, iter: 118950/160000, loss: 0.0615, lr: 0.000015, batch_cost: 1.2309, reader_cost: 0.00024, ips: 1.6248 samples/sec | ETA 14:02:08 2021-08-23 06:59:40 [INFO] [TRAIN] epoch: 320, iter: 118960/160000, loss: 0.0479, lr: 0.000015, batch_cost: 1.2254, reader_cost: 0.00021, ips: 1.6321 samples/sec | ETA 13:58:10 2021-08-23 06:59:52 [INFO] [TRAIN] epoch: 320, iter: 118970/160000, loss: 0.0549, lr: 0.000015, batch_cost: 1.2290, reader_cost: 0.00020, ips: 1.6273 samples/sec | ETA 14:00:25 2021-08-23 07:00:04 [INFO] [TRAIN] epoch: 320, iter: 118980/160000, loss: 0.0539, lr: 0.000015, batch_cost: 1.2152, reader_cost: 0.00020, ips: 1.6459 samples/sec | ETA 13:50:46 2021-08-23 07:00:17 [INFO] [TRAIN] epoch: 320, iter: 118990/160000, loss: 0.0476, lr: 0.000015, batch_cost: 1.2464, reader_cost: 0.00020, ips: 1.6047 samples/sec | ETA 14:11:52 2021-08-23 07:00:29 [INFO] [TRAIN] epoch: 320, iter: 119000/160000, loss: 0.0492, lr: 0.000015, batch_cost: 1.2211, reader_cost: 0.00022, ips: 1.6378 samples/sec | ETA 13:54:25 2021-08-23 07:00:41 [INFO] [TRAIN] epoch: 320, iter: 119010/160000, loss: 0.0593, lr: 0.000015, batch_cost: 1.2170, reader_cost: 0.00021, ips: 1.6434 samples/sec | ETA 13:51:24 2021-08-23 07:00:53 [INFO] [TRAIN] epoch: 320, iter: 119020/160000, loss: 0.0488, lr: 0.000015, batch_cost: 1.2194, reader_cost: 0.00021, ips: 1.6402 samples/sec | ETA 13:52:48 2021-08-23 07:01:05 [INFO] [TRAIN] epoch: 320, iter: 119030/160000, loss: 0.0430, lr: 0.000015, batch_cost: 1.2190, reader_cost: 0.00021, ips: 1.6407 samples/sec | ETA 13:52:22 2021-08-23 07:01:17 [INFO] [TRAIN] epoch: 320, iter: 119040/160000, loss: 0.0470, lr: 0.000015, batch_cost: 1.1813, reader_cost: 0.00016, ips: 1.6930 samples/sec | ETA 13:26:26 2021-08-23 07:01:32 [INFO] [TRAIN] epoch: 321, iter: 119050/160000, loss: 0.0548, lr: 0.000015, batch_cost: 1.5213, reader_cost: 0.24955, ips: 1.3147 samples/sec | ETA 17:18:15 2021-08-23 07:01:45 [INFO] [TRAIN] epoch: 321, iter: 119060/160000, loss: 0.0555, lr: 0.000015, batch_cost: 1.2245, reader_cost: 0.00076, ips: 1.6333 samples/sec | ETA 13:55:31 2021-08-23 07:01:57 [INFO] [TRAIN] epoch: 321, iter: 119070/160000, loss: 0.0491, lr: 0.000015, batch_cost: 1.2347, reader_cost: 0.00023, ips: 1.6198 samples/sec | ETA 14:02:15 2021-08-23 07:02:09 [INFO] [TRAIN] epoch: 321, iter: 119080/160000, loss: 0.0542, lr: 0.000015, batch_cost: 1.2350, reader_cost: 0.00022, ips: 1.6195 samples/sec | ETA 14:02:15 2021-08-23 07:02:22 [INFO] [TRAIN] epoch: 321, iter: 119090/160000, loss: 0.0467, lr: 0.000015, batch_cost: 1.2318, reader_cost: 0.00021, ips: 1.6237 samples/sec | ETA 13:59:51 2021-08-23 07:02:34 [INFO] [TRAIN] epoch: 321, iter: 119100/160000, loss: 0.0480, lr: 0.000015, batch_cost: 1.2210, reader_cost: 0.00022, ips: 1.6380 samples/sec | ETA 13:52:19 2021-08-23 07:02:46 [INFO] [TRAIN] epoch: 321, iter: 119110/160000, loss: 0.0422, lr: 0.000015, batch_cost: 1.2415, reader_cost: 0.00022, ips: 1.6109 samples/sec | ETA 14:06:06 2021-08-23 07:02:59 [INFO] [TRAIN] epoch: 321, iter: 119120/160000, loss: 0.0468, lr: 0.000015, batch_cost: 1.2321, reader_cost: 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loss: 0.0537, lr: 0.000015, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6360 samples/sec | ETA 13:51:42 2021-08-23 07:04:24 [INFO] [TRAIN] epoch: 321, iter: 119190/160000, loss: 0.0530, lr: 0.000015, batch_cost: 1.2111, reader_cost: 0.00021, ips: 1.6514 samples/sec | ETA 13:43:43 2021-08-23 07:04:36 [INFO] [TRAIN] epoch: 321, iter: 119200/160000, loss: 0.0441, lr: 0.000015, batch_cost: 1.2304, reader_cost: 0.00023, ips: 1.6254 samples/sec | ETA 13:56:42 2021-08-23 07:04:48 [INFO] [TRAIN] epoch: 321, iter: 119210/160000, loss: 0.0617, lr: 0.000015, batch_cost: 1.2280, reader_cost: 0.00023, ips: 1.6286 samples/sec | ETA 13:54:52 2021-08-23 07:05:01 [INFO] [TRAIN] epoch: 321, iter: 119220/160000, loss: 0.0573, lr: 0.000015, batch_cost: 1.2326, reader_cost: 0.00022, ips: 1.6226 samples/sec | ETA 13:57:44 2021-08-23 07:05:13 [INFO] [TRAIN] epoch: 321, iter: 119230/160000, loss: 0.0558, lr: 0.000015, batch_cost: 1.2238, reader_cost: 0.00022, ips: 1.6343 samples/sec | ETA 13:51:32 2021-08-23 07:05:25 [INFO] [TRAIN] epoch: 321, iter: 119240/160000, loss: 0.0630, lr: 0.000015, batch_cost: 1.2269, reader_cost: 0.00022, ips: 1.6302 samples/sec | ETA 13:53:27 2021-08-23 07:05:38 [INFO] [TRAIN] epoch: 321, iter: 119250/160000, loss: 0.0617, lr: 0.000015, batch_cost: 1.2306, reader_cost: 0.00023, ips: 1.6252 samples/sec | ETA 13:55:46 2021-08-23 07:05:50 [INFO] [TRAIN] epoch: 321, iter: 119260/160000, loss: 0.0466, lr: 0.000015, batch_cost: 1.2321, reader_cost: 0.00022, ips: 1.6232 samples/sec | ETA 13:56:37 2021-08-23 07:06:02 [INFO] [TRAIN] epoch: 321, iter: 119270/160000, loss: 0.0475, lr: 0.000015, batch_cost: 1.2367, reader_cost: 0.00022, ips: 1.6172 samples/sec | ETA 13:59:29 2021-08-23 07:06:14 [INFO] [TRAIN] epoch: 321, iter: 119280/160000, loss: 0.0504, lr: 0.000015, batch_cost: 1.2161, reader_cost: 0.00021, ips: 1.6445 samples/sec | ETA 13:45:21 2021-08-23 07:06:27 [INFO] [TRAIN] epoch: 321, iter: 119290/160000, loss: 0.0565, lr: 0.000015, batch_cost: 1.2173, 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119350/160000, loss: 0.0604, lr: 0.000015, batch_cost: 1.2362, reader_cost: 0.00021, ips: 1.6179 samples/sec | ETA 13:57:30 2021-08-23 07:07:53 [INFO] [TRAIN] epoch: 321, iter: 119360/160000, loss: 0.0539, lr: 0.000015, batch_cost: 1.2335, reader_cost: 0.00024, ips: 1.6214 samples/sec | ETA 13:55:28 2021-08-23 07:08:05 [INFO] [TRAIN] epoch: 321, iter: 119370/160000, loss: 0.0469, lr: 0.000015, batch_cost: 1.2361, reader_cost: 0.00021, ips: 1.6180 samples/sec | ETA 13:57:01 2021-08-23 07:08:17 [INFO] [TRAIN] epoch: 321, iter: 119380/160000, loss: 0.0399, lr: 0.000015, batch_cost: 1.2193, reader_cost: 0.00022, ips: 1.6403 samples/sec | ETA 13:45:27 2021-08-23 07:08:30 [INFO] [TRAIN] epoch: 321, iter: 119390/160000, loss: 0.0578, lr: 0.000015, batch_cost: 1.2217, reader_cost: 0.00021, ips: 1.6370 samples/sec | ETA 13:46:54 2021-08-23 07:08:42 [INFO] [TRAIN] epoch: 321, iter: 119400/160000, loss: 0.0476, lr: 0.000015, batch_cost: 1.2267, reader_cost: 0.00021, ips: 1.6304 samples/sec | ETA 13:50:03 2021-08-23 07:08:54 [INFO] [TRAIN] epoch: 321, iter: 119410/160000, loss: 0.0536, lr: 0.000015, batch_cost: 1.1924, reader_cost: 0.00017, ips: 1.6773 samples/sec | ETA 13:26:38 2021-08-23 07:09:09 [INFO] [TRAIN] epoch: 322, iter: 119420/160000, loss: 0.0520, lr: 0.000015, batch_cost: 1.4998, reader_cost: 0.21892, ips: 1.3335 samples/sec | ETA 16:54:23 2021-08-23 07:09:21 [INFO] [TRAIN] epoch: 322, iter: 119430/160000, loss: 0.0471, lr: 0.000015, batch_cost: 1.2204, reader_cost: 0.00099, ips: 1.6388 samples/sec | ETA 13:45:13 2021-08-23 07:09:33 [INFO] [TRAIN] epoch: 322, iter: 119440/160000, loss: 0.0603, lr: 0.000015, batch_cost: 1.2398, reader_cost: 0.00025, ips: 1.6132 samples/sec | ETA 13:58:04 2021-08-23 07:09:46 [INFO] [TRAIN] epoch: 322, iter: 119450/160000, loss: 0.0508, lr: 0.000015, batch_cost: 1.2446, reader_cost: 0.00021, ips: 1.6070 samples/sec | ETA 14:01:08 2021-08-23 07:09:58 [INFO] [TRAIN] epoch: 322, iter: 119460/160000, loss: 0.0486, lr: 0.000015, batch_cost: 1.2050, reader_cost: 0.00022, ips: 1.6597 samples/sec | ETA 13:34:12 2021-08-23 07:10:10 [INFO] [TRAIN] epoch: 322, iter: 119470/160000, loss: 0.0484, lr: 0.000015, batch_cost: 1.2265, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 13:48:30 2021-08-23 07:10:22 [INFO] [TRAIN] epoch: 322, iter: 119480/160000, loss: 0.0493, lr: 0.000015, batch_cost: 1.2199, reader_cost: 0.00023, ips: 1.6395 samples/sec | ETA 13:43:50 2021-08-23 07:10:35 [INFO] [TRAIN] epoch: 322, iter: 119490/160000, loss: 0.0522, lr: 0.000015, batch_cost: 1.2291, reader_cost: 0.00022, ips: 1.6272 samples/sec | ETA 13:49:50 2021-08-23 07:10:47 [INFO] [TRAIN] epoch: 322, iter: 119500/160000, loss: 0.0557, lr: 0.000015, batch_cost: 1.2093, reader_cost: 0.00022, ips: 1.6538 samples/sec | ETA 13:36:17 2021-08-23 07:10:59 [INFO] [TRAIN] epoch: 322, iter: 119510/160000, loss: 0.0737, lr: 0.000015, batch_cost: 1.2117, reader_cost: 0.00021, ips: 1.6506 samples/sec | ETA 13:37:41 2021-08-23 07:11:11 [INFO] [TRAIN] epoch: 322, iter: 119520/160000, loss: 0.0569, lr: 0.000015, batch_cost: 1.2254, reader_cost: 0.00021, ips: 1.6322 samples/sec | ETA 13:46:42 2021-08-23 07:11:23 [INFO] [TRAIN] epoch: 322, iter: 119530/160000, loss: 0.0534, lr: 0.000015, batch_cost: 1.2303, reader_cost: 0.00022, ips: 1.6256 samples/sec | ETA 13:49:51 2021-08-23 07:11:36 [INFO] [TRAIN] epoch: 322, iter: 119540/160000, loss: 0.0638, lr: 0.000015, batch_cost: 1.2239, reader_cost: 0.00021, ips: 1.6341 samples/sec | ETA 13:45:19 2021-08-23 07:11:48 [INFO] [TRAIN] epoch: 322, iter: 119550/160000, loss: 0.0609, lr: 0.000015, batch_cost: 1.2292, reader_cost: 0.00021, ips: 1.6271 samples/sec | ETA 13:48:39 2021-08-23 07:12:00 [INFO] [TRAIN] epoch: 322, iter: 119560/160000, loss: 0.0455, lr: 0.000015, batch_cost: 1.2287, reader_cost: 0.00022, ips: 1.6277 samples/sec | ETA 13:48:09 2021-08-23 07:12:12 [INFO] [TRAIN] epoch: 322, iter: 119570/160000, loss: 0.0534, lr: 0.000015, batch_cost: 1.2245, reader_cost: 0.00021, ips: 1.6333 samples/sec | ETA 13:45:07 2021-08-23 07:12:25 [INFO] [TRAIN] epoch: 322, iter: 119580/160000, loss: 0.0531, lr: 0.000015, batch_cost: 1.2321, reader_cost: 0.00020, ips: 1.6232 samples/sec | ETA 13:50:02 2021-08-23 07:12:37 [INFO] [TRAIN] epoch: 322, iter: 119590/160000, loss: 0.0462, lr: 0.000015, batch_cost: 1.2293, reader_cost: 0.00020, ips: 1.6269 samples/sec | ETA 13:47:57 2021-08-23 07:12:49 [INFO] [TRAIN] epoch: 322, iter: 119600/160000, loss: 0.0465, lr: 0.000015, batch_cost: 1.2146, reader_cost: 0.00019, ips: 1.6467 samples/sec | ETA 13:37:49 2021-08-23 07:13:01 [INFO] [TRAIN] epoch: 322, iter: 119610/160000, loss: 0.0473, lr: 0.000015, batch_cost: 1.2115, reader_cost: 0.00020, ips: 1.6509 samples/sec | ETA 13:35:31 2021-08-23 07:13:14 [INFO] [TRAIN] epoch: 322, iter: 119620/160000, loss: 0.0470, lr: 0.000015, batch_cost: 1.2358, reader_cost: 0.00020, ips: 1.6184 samples/sec | ETA 13:51:41 2021-08-23 07:13:26 [INFO] [TRAIN] epoch: 322, iter: 119630/160000, loss: 0.0502, lr: 0.000015, batch_cost: 1.2118, reader_cost: 0.00020, ips: 1.6504 samples/sec | ETA 13:35:20 2021-08-23 07:13:38 [INFO] [TRAIN] epoch: 322, iter: 119640/160000, loss: 0.0487, lr: 0.000015, batch_cost: 1.2260, reader_cost: 0.00021, ips: 1.6314 samples/sec | ETA 13:44:40 2021-08-23 07:13:50 [INFO] [TRAIN] epoch: 322, iter: 119650/160000, loss: 0.0524, lr: 0.000015, batch_cost: 1.2245, reader_cost: 0.00021, ips: 1.6334 samples/sec | ETA 13:43:27 2021-08-23 07:14:03 [INFO] [TRAIN] epoch: 322, iter: 119660/160000, loss: 0.0487, lr: 0.000015, batch_cost: 1.2319, reader_cost: 0.00020, ips: 1.6235 samples/sec | ETA 13:48:14 2021-08-23 07:14:15 [INFO] [TRAIN] epoch: 322, iter: 119670/160000, loss: 0.0429, lr: 0.000015, batch_cost: 1.2279, reader_cost: 0.00021, ips: 1.6288 samples/sec | ETA 13:45:21 2021-08-23 07:14:27 [INFO] [TRAIN] epoch: 322, iter: 119680/160000, loss: 0.0524, lr: 0.000015, batch_cost: 1.2240, reader_cost: 0.00023, ips: 1.6340 samples/sec | ETA 13:42:29 2021-08-23 07:14:39 [INFO] [TRAIN] epoch: 322, iter: 119690/160000, loss: 0.0494, lr: 0.000015, batch_cost: 1.2286, reader_cost: 0.00024, ips: 1.6279 samples/sec | ETA 13:45:23 2021-08-23 07:14:52 [INFO] [TRAIN] epoch: 322, iter: 119700/160000, loss: 0.0515, lr: 0.000015, batch_cost: 1.2258, reader_cost: 0.00023, ips: 1.6316 samples/sec | ETA 13:43:18 2021-08-23 07:15:04 [INFO] [TRAIN] epoch: 322, iter: 119710/160000, loss: 0.0470, lr: 0.000015, batch_cost: 1.2168, reader_cost: 0.00022, ips: 1.6437 samples/sec | ETA 13:37:04 2021-08-23 07:15:16 [INFO] [TRAIN] epoch: 322, iter: 119720/160000, loss: 0.0495, lr: 0.000015, batch_cost: 1.2430, reader_cost: 0.00022, ips: 1.6090 samples/sec | ETA 13:54:27 2021-08-23 07:15:29 [INFO] [TRAIN] epoch: 322, iter: 119730/160000, loss: 0.0605, lr: 0.000015, batch_cost: 1.2387, reader_cost: 0.00022, ips: 1.6145 samples/sec | ETA 13:51:24 2021-08-23 07:15:41 [INFO] [TRAIN] epoch: 322, iter: 119740/160000, loss: 0.0466, lr: 0.000015, batch_cost: 1.2176, reader_cost: 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loss: 0.0506, lr: 0.000015, batch_cost: 1.2348, reader_cost: 0.00074, ips: 1.6196 samples/sec | ETA 13:47:20 2021-08-23 07:17:09 [INFO] [TRAIN] epoch: 323, iter: 119810/160000, loss: 0.0535, lr: 0.000015, batch_cost: 1.2273, reader_cost: 0.00023, ips: 1.6296 samples/sec | ETA 13:42:06 2021-08-23 07:17:21 [INFO] [TRAIN] epoch: 323, iter: 119820/160000, loss: 0.0528, lr: 0.000015, batch_cost: 1.2186, reader_cost: 0.00020, ips: 1.6412 samples/sec | ETA 13:36:04 2021-08-23 07:17:34 [INFO] [TRAIN] epoch: 323, iter: 119830/160000, loss: 0.0527, lr: 0.000015, batch_cost: 1.2226, reader_cost: 0.00020, ips: 1.6359 samples/sec | ETA 13:38:31 2021-08-23 07:17:46 [INFO] [TRAIN] epoch: 323, iter: 119840/160000, loss: 0.0632, lr: 0.000015, batch_cost: 1.2309, reader_cost: 0.00021, ips: 1.6248 samples/sec | ETA 13:43:53 2021-08-23 07:17:58 [INFO] [TRAIN] epoch: 323, iter: 119850/160000, loss: 0.0515, lr: 0.000015, batch_cost: 1.2216, reader_cost: 0.00020, ips: 1.6372 samples/sec | ETA 13:37:28 2021-08-23 07:18:10 [INFO] [TRAIN] epoch: 323, iter: 119860/160000, loss: 0.0464, lr: 0.000015, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6404 samples/sec | ETA 13:35:38 2021-08-23 07:18:23 [INFO] [TRAIN] epoch: 323, iter: 119870/160000, loss: 0.0533, lr: 0.000015, batch_cost: 1.2260, reader_cost: 0.00022, ips: 1.6313 samples/sec | ETA 13:39:59 2021-08-23 07:18:35 [INFO] [TRAIN] epoch: 323, iter: 119880/160000, loss: 0.0471, lr: 0.000015, batch_cost: 1.2123, reader_cost: 0.00022, ips: 1.6498 samples/sec | ETA 13:30:36 2021-08-23 07:18:47 [INFO] [TRAIN] epoch: 323, iter: 119890/160000, loss: 0.0519, lr: 0.000015, batch_cost: 1.2139, reader_cost: 0.00022, ips: 1.6475 samples/sec | ETA 13:31:31 2021-08-23 07:18:59 [INFO] [TRAIN] epoch: 323, iter: 119900/160000, loss: 0.0570, lr: 0.000015, batch_cost: 1.2338, reader_cost: 0.00022, ips: 1.6210 samples/sec | ETA 13:44:35 2021-08-23 07:19:11 [INFO] [TRAIN] epoch: 323, iter: 119910/160000, loss: 0.0398, lr: 0.000015, batch_cost: 1.2281, reader_cost: 0.00023, ips: 1.6285 samples/sec | ETA 13:40:35 2021-08-23 07:19:24 [INFO] [TRAIN] epoch: 323, iter: 119920/160000, loss: 0.0448, lr: 0.000015, batch_cost: 1.2298, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 13:41:31 2021-08-23 07:19:36 [INFO] [TRAIN] epoch: 323, iter: 119930/160000, loss: 0.0551, lr: 0.000015, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6288 samples/sec | ETA 13:40:01 2021-08-23 07:19:48 [INFO] [TRAIN] epoch: 323, iter: 119940/160000, loss: 0.0552, lr: 0.000015, batch_cost: 1.2383, reader_cost: 0.00022, ips: 1.6151 samples/sec | ETA 13:46:47 2021-08-23 07:20:01 [INFO] [TRAIN] epoch: 323, iter: 119950/160000, loss: 0.0419, lr: 0.000015, batch_cost: 1.2296, reader_cost: 0.00022, ips: 1.6266 samples/sec | ETA 13:40:44 2021-08-23 07:20:13 [INFO] [TRAIN] epoch: 323, iter: 119960/160000, loss: 0.0554, lr: 0.000015, batch_cost: 1.2206, reader_cost: 0.00022, ips: 1.6386 samples/sec | ETA 13:34:32 2021-08-23 07:20:25 [INFO] [TRAIN] epoch: 323, iter: 119970/160000, loss: 0.0571, lr: 0.000015, batch_cost: 1.2372, reader_cost: 0.00022, ips: 1.6165 samples/sec | ETA 13:45:25 2021-08-23 07:20:38 [INFO] [TRAIN] epoch: 323, iter: 119980/160000, loss: 0.0564, lr: 0.000015, batch_cost: 1.2370, reader_cost: 0.00021, ips: 1.6169 samples/sec | ETA 13:45:02 2021-08-23 07:20:50 [INFO] [TRAIN] epoch: 323, iter: 119990/160000, loss: 0.0621, lr: 0.000015, batch_cost: 1.2337, reader_cost: 0.00021, ips: 1.6212 samples/sec | ETA 13:42:38 2021-08-23 07:21:02 [INFO] [TRAIN] epoch: 323, iter: 120000/160000, loss: 0.0479, lr: 0.000015, batch_cost: 1.2332, reader_cost: 0.00083, ips: 1.6218 samples/sec | ETA 13:42:08 2021-08-23 07:21:02 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:46 - batch_cost: 3.7621 - reader cost: 0.3871 2/125 [..............................] - ETA: 6:00 - batch_cost: 2.9273 - reader cost: 0.1937 3/125 [..............................] - ETA: 5:30 - batch_cost: 2.7054 - reader cost: 0.1292 4/125 [..............................] - ETA: 5:11 - batch_cost: 2.5764 - reader cost: 0.0969 5/125 [>.............................] - ETA: 4:57 - batch_cost: 2.4793 - reader cost: 0.0776 6/125 [>.............................] - ETA: 4:47 - batch_cost: 2.4166 - reader cost: 0.0647 7/125 [>.............................] - ETA: 4:40 - batch_cost: 2.3761 - reader cost: 0.0555 8/125 [>.............................] - ETA: 4:34 - batch_cost: 2.3423 - reader cost: 0.0486 9/125 [=>............................] - ETA: 4:28 - batch_cost: 2.3175 - reader cost: 0.0432 10/125 [=>............................] - ETA: 4:23 - batch_cost: 2.2949 - reader cost: 0.0389 11/125 [=>............................] - ETA: 4:19 - batch_cost: 2.2795 - reader cost: 0.0354 12/125 [=>............................] - ETA: 4:15 - batch_cost: 2.2615 - reader cost: 0.0324 13/125 [==>...........................] - ETA: 4:12 - batch_cost: 2.2502 - reader cost: 0.0300 14/125 [==>...........................] - ETA: 4:08 - batch_cost: 2.2365 - reader cost: 0.0278 15/125 [==>...........................] - ETA: 4:05 - batch_cost: 2.2328 - reader cost: 0.0260 16/125 [==>...........................] - ETA: 4:02 - batch_cost: 2.2261 - reader cost: 0.0244 17/125 [===>..........................] - ETA: 3:59 - batch_cost: 2.2182 - reader cost: 0.0230 18/125 [===>..........................] - ETA: 3:56 - batch_cost: 2.2122 - reader cost: 0.0217 19/125 [===>..........................] - ETA: 3:53 - batch_cost: 2.2067 - reader cost: 0.0206 20/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.2009 - reader cost: 0.0195 21/125 [====>.........................] - ETA: 3:48 - batch_cost: 2.1959 - reader cost: 0.0186 22/125 [====>.........................] - ETA: 3:45 - batch_cost: 2.1925 - reader cost: 0.0178 23/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.1878 - reader cost: 0.0170 24/125 [====>.........................] - ETA: 3:40 - batch_cost: 2.1831 - reader cost: 0.0163 25/125 [=====>........................] - ETA: 3:38 - batch_cost: 2.1824 - reader cost: 0.0157 26/125 [=====>........................] - ETA: 3:35 - batch_cost: 2.1804 - reader cost: 0.0151 27/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1778 - reader cost: 0.0145 28/125 [=====>........................] - ETA: 3:30 - batch_cost: 2.1741 - reader cost: 0.0140 29/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1718 - reader cost: 0.0135 30/125 [======>.......................] - ETA: 3:26 - batch_cost: 2.1700 - reader cost: 0.0131 31/125 [======>.......................] - ETA: 3:23 - batch_cost: 2.1674 - reader cost: 0.0127 32/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1638 - reader cost: 0.0123 33/125 [======>.......................] - ETA: 3:18 - batch_cost: 2.1619 - reader cost: 0.0119 34/125 [=======>......................] - ETA: 3:16 - batch_cost: 2.1608 - reader cost: 0.0116 35/125 [=======>......................] - ETA: 3:14 - batch_cost: 2.1594 - reader cost: 0.0113 36/125 [=======>......................] - ETA: 3:12 - batch_cost: 2.1577 - reader cost: 0.0109 37/125 [=======>......................] - ETA: 3:09 - batch_cost: 2.1562 - reader cost: 0.0107 38/125 [========>.....................] - ETA: 3:07 - batch_cost: 2.1549 - reader cost: 0.0104 39/125 [========>.....................] - ETA: 3:05 - batch_cost: 2.1537 - reader cost: 0.0101 40/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1524 - reader cost: 0.0099 41/125 [========>.....................] - ETA: 3:00 - batch_cost: 2.1520 - reader cost: 0.0096 42/125 [=========>....................] - ETA: 2:58 - batch_cost: 2.1506 - reader cost: 0.0094 43/125 [=========>....................] - ETA: 2:56 - batch_cost: 2.1496 - reader cost: 0.0092 44/125 [=========>....................] - ETA: 2:54 - batch_cost: 2.1479 - reader cost: 0.0090 45/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1475 - reader cost: 0.0088 46/125 [==========>...................] - ETA: 2:49 - batch_cost: 2.1461 - reader cost: 0.0086 47/125 [==========>...................] - ETA: 2:47 - batch_cost: 2.1441 - reader cost: 0.0084 48/125 [==========>...................] - ETA: 2:45 - batch_cost: 2.1427 - reader cost: 0.0083 49/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1410 - reader cost: 0.0081 50/125 [===========>..................] - ETA: 2:40 - batch_cost: 2.1397 - reader cost: 0.0079 51/125 [===========>..................] - ETA: 2:38 - batch_cost: 2.1394 - reader cost: 0.0078 52/125 [===========>..................] - ETA: 2:36 - batch_cost: 2.1387 - reader cost: 0.0076 53/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.1378 - reader cost: 0.0075 54/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.1366 - reader cost: 0.0074 55/125 [============>.................] - ETA: 2:29 - batch_cost: 2.1361 - reader cost: 0.0072 56/125 [============>.................] - ETA: 2:27 - batch_cost: 2.1348 - reader cost: 0.0071 57/125 [============>.................] - ETA: 2:25 - batch_cost: 2.1349 - reader cost: 0.0070 58/125 [============>.................] - ETA: 2:22 - batch_cost: 2.1334 - reader cost: 0.0069 59/125 [=============>................] - ETA: 2:20 - batch_cost: 2.1333 - reader cost: 0.0068 60/125 [=============>................] - ETA: 2:18 - batch_cost: 2.1332 - reader cost: 0.0066 61/125 [=============>................] - ETA: 2:16 - batch_cost: 2.1324 - reader cost: 0.0065 62/125 [=============>................] - ETA: 2:14 - batch_cost: 2.1317 - reader cost: 0.0064 63/125 [==============>...............] - ETA: 2:12 - batch_cost: 2.1315 - reader cost: 0.0063 64/125 [==============>...............] - ETA: 2:10 - batch_cost: 2.1311 - reader cost: 0.0062 65/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.1304 - reader cost: 0.0061 66/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.1301 - reader cost: 0.0061 67/125 [===============>..............] - ETA: 2:03 - batch_cost: 2.1297 - reader cost: 0.0060 68/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1291 - reader cost: 0.0059 69/125 [===============>..............] - ETA: 1:59 - batch_cost: 2.1286 - reader cost: 0.0058 70/125 [===============>..............] - ETA: 1:57 - batch_cost: 2.1280 - reader cost: 0.0057 71/125 [================>.............] - ETA: 1:54 - batch_cost: 2.1269 - reader cost: 0.0056 72/125 [================>.............] - ETA: 1:52 - batch_cost: 2.1268 - reader cost: 0.0056 73/125 [================>.............] - ETA: 1:50 - batch_cost: 2.1262 - reader cost: 0.0055 74/125 [================>.............] - ETA: 1:48 - batch_cost: 2.1266 - reader cost: 0.0054 75/125 [=================>............] - ETA: 1:46 - batch_cost: 2.1255 - reader cost: 0.0054 76/125 [=================>............] - ETA: 1:44 - batch_cost: 2.1262 - reader cost: 0.0053 77/125 [=================>............] - ETA: 1:42 - batch_cost: 2.1252 - reader cost: 0.0052 78/125 [=================>............] - ETA: 1:39 - batch_cost: 2.1247 - reader cost: 0.0052 79/125 [=================>............] - ETA: 1:37 - batch_cost: 2.1242 - reader cost: 0.0051 80/125 [==================>...........] - ETA: 1:35 - batch_cost: 2.1239 - reader cost: 0.0050 81/125 [==================>...........] - ETA: 1:33 - batch_cost: 2.1237 - reader cost: 0.0050 82/125 [==================>...........] - ETA: 1:31 - batch_cost: 2.1238 - reader cost: 0.0049 83/125 [==================>...........] - ETA: 1:29 - batch_cost: 2.1238 - reader cost: 0.0049 84/125 [===================>..........] - ETA: 1:27 - batch_cost: 2.1239 - reader cost: 0.0048 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1233 - reader cost: 0.0047 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1229 - reader cost: 0.0047 87/125 [===================>..........] - ETA: 1:20 - batch_cost: 2.1220 - reader cost: 0.0046 88/125 [====================>.........] - ETA: 1:18 - batch_cost: 2.1215 - reader cost: 0.0046 89/125 [====================>.........] - ETA: 1:16 - batch_cost: 2.1213 - reader cost: 0.0045 90/125 [====================>.........] - ETA: 1:14 - batch_cost: 2.1202 - reader cost: 0.0045 91/125 [====================>.........] - ETA: 1:12 - batch_cost: 2.1196 - reader cost: 0.0044 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1188 - reader cost: 0.0044 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1189 - reader cost: 0.0044 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1182 - reader cost: 0.0043 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1179 - reader cost: 0.0043 96/125 [======================>.......] - ETA: 1:01 - batch_cost: 2.1173 - reader cost: 0.0042 97/125 [======================>.......] - ETA: 59s - batch_cost: 2.1172 - reader cost: 0.0042  98/125 [======================>.......] - ETA: 57s - batch_cost: 2.1172 - reader cost: 0.0041 99/125 [======================>.......] - ETA: 55s - batch_cost: 2.1172 - reader cost: 0.0041 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.1171 - reader cost: 0.0041 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.1174 - reader cost: 0.0040 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1172 - reader cost: 0.0040 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1173 - reader cost: 0.0040 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1170 - reader cost: 0.0039 105/125 [========================>.....] - ETA: 42s - batch_cost: 2.1163 - reader cost: 0.0039 106/125 [========================>.....] - ETA: 40s - batch_cost: 2.1166 - reader cost: 0.0038 107/125 [========================>.....] - ETA: 38s - batch_cost: 2.1167 - reader cost: 0.0038 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.1166 - reader cost: 0.0038 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.1167 - reader cost: 0.0037 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.1168 - reader cost: 0.0037 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.1159 - reader cost: 0.0037 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.1155 - reader cost: 0.0037 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.1152 - reader cost: 0.0036 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.1147 - reader cost: 0.0036 115/125 [==========================>...] - ETA: 21s - batch_cost: 2.1142 - reader cost: 0.0036 116/125 [==========================>...] - ETA: 19s - batch_cost: 2.1140 - reader cost: 0.0035 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.1136 - reader cost: 0.0035 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.1129 - reader cost: 0.0035 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.1130 - reader cost: 0.0034 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.1127 - reader cost: 0.0034 121/125 [============================>.] - ETA: 8s - batch_cost: 2.1122 - reader cost: 0.0034  122/125 [============================>.] - ETA: 6s - batch_cost: 2.1120 - reader cost: 0.0034 123/125 [============================>.] - ETA: 4s - batch_cost: 2.1116 - reader cost: 0.0033 124/125 [============================>.] - ETA: 2s - batch_cost: 2.1109 - reader cost: 0.0033 125/125 [==============================] - 264s 2s/step - batch_cost: 2.1102 - reader cost: 0.0033 2021-08-23 07:25:26 [INFO] [EVAL] #Images: 500 mIoU: 0.8233 Acc: 0.9675 Kappa: 0.9578 2021-08-23 07:25:26 [INFO] [EVAL] Class IoU: [0.9846 0.8724 0.9381 0.692 0.6717 0.698 0.759 0.8253 0.9319 0.6676 0.9574 0.849 0.6763 0.9595 0.8748 0.913 0.865 0.7083 0.7997] 2021-08-23 07:25:26 [INFO] [EVAL] Class Acc: [0.9919 0.9327 0.9671 0.9009 0.8683 0.8381 0.8572 0.9168 0.9571 0.8602 0.9779 0.912 0.8099 0.9759 0.9525 0.9529 0.9598 0.8563 0.8685] 2021-08-23 07:25:29 [INFO] [EVAL] The model with the best validation mIoU (0.8245) was saved at iter 116000. 2021-08-23 07:25:41 [INFO] [TRAIN] epoch: 323, iter: 120010/160000, loss: 0.0588, lr: 0.000015, batch_cost: 1.2175, reader_cost: 0.00069, ips: 1.6428 samples/sec | ETA 13:31:26 2021-08-23 07:25:53 [INFO] [TRAIN] epoch: 323, iter: 120020/160000, loss: 0.0539, lr: 0.000015, batch_cost: 1.2241, reader_cost: 0.00023, ips: 1.6339 samples/sec | ETA 13:35:38 2021-08-23 07:26:05 [INFO] [TRAIN] epoch: 323, iter: 120030/160000, loss: 0.0506, lr: 0.000015, batch_cost: 1.2103, reader_cost: 0.00022, ips: 1.6524 samples/sec | ETA 13:26:16 2021-08-23 07:26:18 [INFO] [TRAIN] epoch: 323, iter: 120040/160000, loss: 0.0482, lr: 0.000015, batch_cost: 1.2215, reader_cost: 0.00023, ips: 1.6373 samples/sec | ETA 13:33:31 2021-08-23 07:26:30 [INFO] [TRAIN] epoch: 323, iter: 120050/160000, loss: 0.0476, lr: 0.000015, batch_cost: 1.2351, reader_cost: 0.00023, ips: 1.6193 samples/sec | ETA 13:42:21 2021-08-23 07:26:42 [INFO] [TRAIN] epoch: 323, iter: 120060/160000, loss: 0.0503, lr: 0.000015, batch_cost: 1.2231, reader_cost: 0.00021, ips: 1.6352 samples/sec | ETA 13:34:09 2021-08-23 07:26:54 [INFO] [TRAIN] epoch: 323, iter: 120070/160000, loss: 0.0547, lr: 0.000015, batch_cost: 1.2247, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 13:35:02 2021-08-23 07:27:06 [INFO] [TRAIN] epoch: 323, iter: 120080/160000, loss: 0.0489, lr: 0.000015, batch_cost: 1.2111, reader_cost: 0.00023, ips: 1.6514 samples/sec | ETA 13:25:47 2021-08-23 07:27:19 [INFO] [TRAIN] epoch: 323, iter: 120090/160000, loss: 0.0627, lr: 0.000015, batch_cost: 1.2265, reader_cost: 0.00021, ips: 1.6307 samples/sec | ETA 13:35:49 2021-08-23 07:27:31 [INFO] [TRAIN] epoch: 323, iter: 120100/160000, loss: 0.0618, lr: 0.000015, batch_cost: 1.2323, reader_cost: 0.00020, ips: 1.6229 samples/sec | ETA 13:39:29 2021-08-23 07:27:43 [INFO] [TRAIN] epoch: 323, iter: 120110/160000, loss: 0.0549, lr: 0.000015, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6288 samples/sec | ETA 13:36:20 2021-08-23 07:27:56 [INFO] [TRAIN] epoch: 323, iter: 120120/160000, loss: 0.0498, lr: 0.000015, batch_cost: 1.2297, reader_cost: 0.00022, ips: 1.6264 samples/sec | ETA 13:37:21 2021-08-23 07:28:08 [INFO] [TRAIN] epoch: 323, iter: 120130/160000, loss: 0.0479, lr: 0.000015, batch_cost: 1.2315, reader_cost: 0.00021, ips: 1.6241 samples/sec | ETA 13:38:19 2021-08-23 07:28:20 [INFO] [TRAIN] epoch: 323, iter: 120140/160000, loss: 0.0472, lr: 0.000015, batch_cost: 1.2264, reader_cost: 0.00021, ips: 1.6308 samples/sec | ETA 13:34:43 2021-08-23 07:28:32 [INFO] [TRAIN] epoch: 323, iter: 120150/160000, loss: 0.0517, lr: 0.000015, batch_cost: 1.2143, reader_cost: 0.00072, ips: 1.6470 samples/sec | ETA 13:26:29 2021-08-23 07:28:47 [INFO] [TRAIN] epoch: 324, iter: 120160/160000, loss: 0.0535, lr: 0.000015, batch_cost: 1.4594, reader_cost: 0.20722, ips: 1.3704 samples/sec | ETA 16:09:04 2021-08-23 07:28:59 [INFO] [TRAIN] epoch: 324, iter: 120170/160000, loss: 0.0472, lr: 0.000015, batch_cost: 1.2173, reader_cost: 0.00077, ips: 1.6429 samples/sec | ETA 13:28:06 2021-08-23 07:29:11 [INFO] [TRAIN] epoch: 324, iter: 120180/160000, loss: 0.0561, lr: 0.000015, batch_cost: 1.2359, reader_cost: 0.00021, ips: 1.6183 samples/sec | ETA 13:40:11 2021-08-23 07:29:24 [INFO] [TRAIN] epoch: 324, iter: 120190/160000, loss: 0.0538, lr: 0.000015, batch_cost: 1.2175, reader_cost: 0.00021, ips: 1.6427 samples/sec | ETA 13:27:48 2021-08-23 07:29:36 [INFO] [TRAIN] epoch: 324, iter: 120200/160000, loss: 0.0520, lr: 0.000015, batch_cost: 1.2328, reader_cost: 0.00021, ips: 1.6223 samples/sec | ETA 13:37:47 2021-08-23 07:29:48 [INFO] [TRAIN] epoch: 324, iter: 120210/160000, loss: 0.0536, lr: 0.000015, batch_cost: 1.2087, reader_cost: 0.00022, ips: 1.6546 samples/sec | ETA 13:21:35 2021-08-23 07:30:00 [INFO] [TRAIN] epoch: 324, iter: 120220/160000, loss: 0.0576, lr: 0.000015, batch_cost: 1.2336, reader_cost: 0.00020, ips: 1.6213 samples/sec | ETA 13:37:52 2021-08-23 07:30:12 [INFO] [TRAIN] epoch: 324, iter: 120230/160000, loss: 0.0536, lr: 0.000015, batch_cost: 1.2070, reader_cost: 0.00020, ips: 1.6570 samples/sec | ETA 13:20:03 2021-08-23 07:30:25 [INFO] [TRAIN] epoch: 324, iter: 120240/160000, loss: 0.0454, lr: 0.000015, batch_cost: 1.2243, reader_cost: 0.00021, ips: 1.6336 samples/sec | ETA 13:31:16 2021-08-23 07:30:37 [INFO] [TRAIN] epoch: 324, iter: 120250/160000, loss: 0.0575, lr: 0.000015, batch_cost: 1.2174, reader_cost: 0.00024, ips: 1.6429 samples/sec | ETA 13:26:30 2021-08-23 07:30:49 [INFO] [TRAIN] epoch: 324, iter: 120260/160000, loss: 0.0478, lr: 0.000015, batch_cost: 1.2395, reader_cost: 0.00024, ips: 1.6135 samples/sec | ETA 13:40:58 2021-08-23 07:31:02 [INFO] [TRAIN] epoch: 324, iter: 120270/160000, loss: 0.0534, lr: 0.000015, batch_cost: 1.2402, reader_cost: 0.00022, ips: 1.6127 samples/sec | ETA 13:41:12 2021-08-23 07:31:14 [INFO] [TRAIN] epoch: 324, iter: 120280/160000, loss: 0.0528, lr: 0.000015, batch_cost: 1.2340, reader_cost: 0.00021, ips: 1.6207 samples/sec | ETA 13:36:55 2021-08-23 07:31:26 [INFO] [TRAIN] epoch: 324, iter: 120290/160000, loss: 0.0389, lr: 0.000015, batch_cost: 1.2392, reader_cost: 0.00021, ips: 1.6140 samples/sec | ETA 13:40:06 2021-08-23 07:31:39 [INFO] [TRAIN] epoch: 324, iter: 120300/160000, loss: 0.0454, lr: 0.000015, batch_cost: 1.2337, reader_cost: 0.00022, ips: 1.6211 samples/sec | ETA 13:36:17 2021-08-23 07:31:51 [INFO] [TRAIN] epoch: 324, iter: 120310/160000, loss: 0.0432, lr: 0.000015, batch_cost: 1.2301, reader_cost: 0.00022, ips: 1.6258 samples/sec | ETA 13:33:44 2021-08-23 07:32:03 [INFO] [TRAIN] epoch: 324, iter: 120320/160000, loss: 0.0551, lr: 0.000015, batch_cost: 1.2293, reader_cost: 0.00022, ips: 1.6269 samples/sec | ETA 13:32:59 2021-08-23 07:32:16 [INFO] [TRAIN] epoch: 324, iter: 120330/160000, loss: 0.0413, lr: 0.000015, batch_cost: 1.2388, 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120390/160000, loss: 0.0492, lr: 0.000015, batch_cost: 1.2106, reader_cost: 0.00021, ips: 1.6520 samples/sec | ETA 13:19:12 2021-08-23 07:33:42 [INFO] [TRAIN] epoch: 324, iter: 120400/160000, loss: 0.0500, lr: 0.000015, batch_cost: 1.2249, reader_cost: 0.00021, ips: 1.6328 samples/sec | ETA 13:28:26 2021-08-23 07:33:54 [INFO] [TRAIN] epoch: 324, iter: 120410/160000, loss: 0.0489, lr: 0.000015, batch_cost: 1.2307, reader_cost: 0.00023, ips: 1.6251 samples/sec | ETA 13:32:04 2021-08-23 07:34:06 [INFO] [TRAIN] epoch: 324, iter: 120420/160000, loss: 0.0499, lr: 0.000015, batch_cost: 1.2381, reader_cost: 0.00021, ips: 1.6154 samples/sec | ETA 13:36:43 2021-08-23 07:34:19 [INFO] [TRAIN] epoch: 324, iter: 120430/160000, loss: 0.0560, lr: 0.000015, batch_cost: 1.2387, reader_cost: 0.00021, ips: 1.6147 samples/sec | ETA 13:36:53 2021-08-23 07:34:31 [INFO] [TRAIN] epoch: 324, iter: 120440/160000, loss: 0.0498, lr: 0.000015, batch_cost: 1.2318, reader_cost: 0.00021, ips: 1.6236 samples/sec | ETA 13:32:09 2021-08-23 07:34:43 [INFO] [TRAIN] epoch: 324, iter: 120450/160000, loss: 0.0497, lr: 0.000015, batch_cost: 1.2243, reader_cost: 0.00022, ips: 1.6335 samples/sec | ETA 13:27:02 2021-08-23 07:34:56 [INFO] [TRAIN] epoch: 324, iter: 120460/160000, loss: 0.0473, lr: 0.000015, batch_cost: 1.2352, reader_cost: 0.00022, ips: 1.6192 samples/sec | ETA 13:33:58 2021-08-23 07:35:08 [INFO] [TRAIN] epoch: 324, iter: 120470/160000, loss: 0.0439, lr: 0.000015, batch_cost: 1.2313, reader_cost: 0.00023, ips: 1.6242 samples/sec | ETA 13:31:14 2021-08-23 07:35:20 [INFO] [TRAIN] epoch: 324, iter: 120480/160000, loss: 0.0543, lr: 0.000015, batch_cost: 1.2174, reader_cost: 0.00022, ips: 1.6429 samples/sec | ETA 13:21:50 2021-08-23 07:35:32 [INFO] [TRAIN] epoch: 324, iter: 120490/160000, loss: 0.0438, lr: 0.000015, batch_cost: 1.2262, reader_cost: 0.00022, ips: 1.6311 samples/sec | ETA 13:27:25 2021-08-23 07:35:45 [INFO] [TRAIN] epoch: 324, iter: 120500/160000, loss: 0.0563, lr: 0.000015, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6318 samples/sec | ETA 13:26:53 2021-08-23 07:35:57 [INFO] [TRAIN] epoch: 324, iter: 120510/160000, loss: 0.0629, lr: 0.000015, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6340 samples/sec | ETA 13:25:34 2021-08-23 07:36:09 [INFO] [TRAIN] epoch: 324, iter: 120520/160000, loss: 0.0465, lr: 0.000015, batch_cost: 1.2064, reader_cost: 0.00019, ips: 1.6579 samples/sec | ETA 13:13:47 2021-08-23 07:36:24 [INFO] [TRAIN] epoch: 325, iter: 120530/160000, loss: 0.0424, lr: 0.000015, batch_cost: 1.4726, reader_cost: 0.21934, ips: 1.3581 samples/sec | ETA 16:08:45 2021-08-23 07:36:36 [INFO] [TRAIN] epoch: 325, iter: 120540/160000, loss: 0.0448, lr: 0.000015, batch_cost: 1.2211, reader_cost: 0.00084, ips: 1.6378 samples/sec | ETA 13:23:06 2021-08-23 07:36:48 [INFO] [TRAIN] epoch: 325, iter: 120550/160000, loss: 0.0475, lr: 0.000015, batch_cost: 1.2221, reader_cost: 0.00023, ips: 1.6365 samples/sec | ETA 13:23:32 2021-08-23 07:37:00 [INFO] [TRAIN] epoch: 325, iter: 120560/160000, loss: 0.0498, lr: 0.000015, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6369 samples/sec | ETA 13:23:08 2021-08-23 07:37:12 [INFO] [TRAIN] epoch: 325, iter: 120570/160000, loss: 0.0695, lr: 0.000015, batch_cost: 1.2120, reader_cost: 0.00021, ips: 1.6502 samples/sec | ETA 13:16:27 2021-08-23 07:37:25 [INFO] [TRAIN] epoch: 325, iter: 120580/160000, loss: 0.0628, lr: 0.000015, batch_cost: 1.2299, reader_cost: 0.00021, ips: 1.6262 samples/sec | ETA 13:28:02 2021-08-23 07:37:37 [INFO] [TRAIN] epoch: 325, iter: 120590/160000, loss: 0.0604, lr: 0.000015, batch_cost: 1.2356, reader_cost: 0.00021, ips: 1.6186 samples/sec | ETA 13:31:35 2021-08-23 07:37:49 [INFO] [TRAIN] epoch: 325, iter: 120600/160000, loss: 0.0462, lr: 0.000015, batch_cost: 1.2232, reader_cost: 0.00021, ips: 1.6351 samples/sec | ETA 13:23:12 2021-08-23 07:38:01 [INFO] [TRAIN] epoch: 325, iter: 120610/160000, loss: 0.0578, lr: 0.000015, batch_cost: 1.2168, reader_cost: 0.00020, ips: 1.6437 samples/sec | ETA 13:18:48 2021-08-23 07:38:14 [INFO] [TRAIN] epoch: 325, iter: 120620/160000, loss: 0.0539, lr: 0.000015, batch_cost: 1.2108, reader_cost: 0.00021, ips: 1.6518 samples/sec | ETA 13:14:42 2021-08-23 07:38:26 [INFO] [TRAIN] epoch: 325, iter: 120630/160000, loss: 0.0548, lr: 0.000015, batch_cost: 1.2134, reader_cost: 0.00023, ips: 1.6482 samples/sec | ETA 13:16:12 2021-08-23 07:38:38 [INFO] [TRAIN] epoch: 325, iter: 120640/160000, loss: 0.0552, lr: 0.000015, batch_cost: 1.2332, reader_cost: 0.00022, ips: 1.6217 samples/sec | ETA 13:29:00 2021-08-23 07:38:50 [INFO] [TRAIN] epoch: 325, iter: 120650/160000, loss: 0.0518, lr: 0.000015, batch_cost: 1.2157, reader_cost: 0.00022, ips: 1.6452 samples/sec | ETA 13:17:16 2021-08-23 07:39:02 [INFO] [TRAIN] epoch: 325, iter: 120660/160000, loss: 0.0437, lr: 0.000015, batch_cost: 1.2333, reader_cost: 0.00023, ips: 1.6216 samples/sec | ETA 13:28:39 2021-08-23 07:39:15 [INFO] [TRAIN] epoch: 325, iter: 120670/160000, loss: 0.0497, lr: 0.000015, batch_cost: 1.2404, reader_cost: 0.00021, ips: 1.6124 samples/sec | ETA 13:33:05 2021-08-23 07:39:27 [INFO] [TRAIN] epoch: 325, iter: 120680/160000, loss: 0.0498, lr: 0.000015, batch_cost: 1.2236, reader_cost: 0.00023, ips: 1.6345 samples/sec | ETA 13:21:52 2021-08-23 07:39:39 [INFO] [TRAIN] epoch: 325, iter: 120690/160000, loss: 0.0470, lr: 0.000015, batch_cost: 1.2213, reader_cost: 0.00021, ips: 1.6376 samples/sec | ETA 13:20:09 2021-08-23 07:39:52 [INFO] [TRAIN] epoch: 325, iter: 120700/160000, loss: 0.0559, lr: 0.000015, batch_cost: 1.2349, reader_cost: 0.00075, ips: 1.6195 samples/sec | ETA 13:28:53 2021-08-23 07:40:04 [INFO] [TRAIN] epoch: 325, iter: 120710/160000, loss: 0.0455, lr: 0.000015, batch_cost: 1.2142, reader_cost: 0.00022, ips: 1.6472 samples/sec | ETA 13:15:06 2021-08-23 07:40:16 [INFO] [TRAIN] epoch: 325, iter: 120720/160000, loss: 0.0494, lr: 0.000015, batch_cost: 1.2423, reader_cost: 0.00021, ips: 1.6099 samples/sec | ETA 13:33:17 2021-08-23 07:40:28 [INFO] [TRAIN] epoch: 325, iter: 120730/160000, loss: 0.0550, lr: 0.000015, batch_cost: 1.2169, reader_cost: 0.00021, ips: 1.6436 samples/sec | ETA 13:16:26 2021-08-23 07:40:41 [INFO] [TRAIN] epoch: 325, iter: 120740/160000, loss: 0.0408, lr: 0.000015, batch_cost: 1.2296, reader_cost: 0.00075, ips: 1.6266 samples/sec | ETA 13:24:33 2021-08-23 07:40:53 [INFO] [TRAIN] epoch: 325, iter: 120750/160000, loss: 0.0539, lr: 0.000015, batch_cost: 1.2073, reader_cost: 0.00020, ips: 1.6566 samples/sec | ETA 13:09:46 2021-08-23 07:41:05 [INFO] [TRAIN] epoch: 325, iter: 120760/160000, loss: 0.0547, lr: 0.000015, batch_cost: 1.2172, reader_cost: 0.00022, ips: 1.6431 samples/sec | ETA 13:16:03 2021-08-23 07:41:17 [INFO] [TRAIN] epoch: 325, iter: 120770/160000, loss: 0.0520, lr: 0.000015, batch_cost: 1.2199, reader_cost: 0.00022, ips: 1.6394 samples/sec | ETA 13:17:37 2021-08-23 07:41:29 [INFO] [TRAIN] epoch: 325, iter: 120780/160000, loss: 0.0500, lr: 0.000015, batch_cost: 1.2256, reader_cost: 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loss: 0.0629, lr: 0.000015, batch_cost: 1.2333, reader_cost: 0.00022, ips: 1.6217 samples/sec | ETA 13:24:55 2021-08-23 07:42:55 [INFO] [TRAIN] epoch: 325, iter: 120850/160000, loss: 0.0591, lr: 0.000015, batch_cost: 1.2289, reader_cost: 0.00022, ips: 1.6274 samples/sec | ETA 13:21:52 2021-08-23 07:43:08 [INFO] [TRAIN] epoch: 325, iter: 120860/160000, loss: 0.0522, lr: 0.000015, batch_cost: 1.2227, reader_cost: 0.00022, ips: 1.6358 samples/sec | ETA 13:17:34 2021-08-23 07:43:20 [INFO] [TRAIN] epoch: 325, iter: 120870/160000, loss: 0.0506, lr: 0.000015, batch_cost: 1.2207, reader_cost: 0.00024, ips: 1.6384 samples/sec | ETA 13:16:05 2021-08-23 07:43:32 [INFO] [TRAIN] epoch: 325, iter: 120880/160000, loss: 0.0392, lr: 0.000015, batch_cost: 1.2276, reader_cost: 0.00023, ips: 1.6292 samples/sec | ETA 13:20:22 2021-08-23 07:43:44 [INFO] [TRAIN] epoch: 325, iter: 120890/160000, loss: 0.0594, lr: 0.000015, batch_cost: 1.2228, reader_cost: 0.00021, ips: 1.6356 samples/sec | ETA 13:17:03 2021-08-23 07:43:56 [INFO] [TRAIN] epoch: 325, iter: 120900/160000, loss: 0.0523, lr: 0.000015, batch_cost: 1.1821, reader_cost: 0.00017, ips: 1.6920 samples/sec | ETA 12:50:18 2021-08-23 07:44:11 [INFO] [TRAIN] epoch: 326, iter: 120910/160000, loss: 0.0552, lr: 0.000015, batch_cost: 1.5165, reader_cost: 0.26148, ips: 1.3188 samples/sec | ETA 16:28:00 2021-08-23 07:44:24 [INFO] [TRAIN] epoch: 326, iter: 120920/160000, loss: 0.0501, lr: 0.000015, batch_cost: 1.2382, reader_cost: 0.00072, ips: 1.6153 samples/sec | ETA 13:26:27 2021-08-23 07:44:36 [INFO] [TRAIN] epoch: 326, iter: 120930/160000, loss: 0.0536, lr: 0.000015, batch_cost: 1.2329, reader_cost: 0.00021, ips: 1.6222 samples/sec | ETA 13:22:50 2021-08-23 07:44:48 [INFO] [TRAIN] epoch: 326, iter: 120940/160000, loss: 0.0566, lr: 0.000015, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 13:18:29 2021-08-23 07:45:01 [INFO] [TRAIN] epoch: 326, iter: 120950/160000, loss: 0.0547, lr: 0.000015, batch_cost: 1.2306, 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121010/160000, loss: 0.0508, lr: 0.000015, batch_cost: 1.2513, reader_cost: 0.00019, ips: 1.5984 samples/sec | ETA 13:33:06 2021-08-23 07:46:27 [INFO] [TRAIN] epoch: 326, iter: 121020/160000, loss: 0.0596, lr: 0.000015, batch_cost: 1.2350, reader_cost: 0.00018, ips: 1.6194 samples/sec | ETA 13:22:21 2021-08-23 07:46:39 [INFO] [TRAIN] epoch: 326, iter: 121030/160000, loss: 0.0461, lr: 0.000015, batch_cost: 1.2122, reader_cost: 0.00019, ips: 1.6499 samples/sec | ETA 13:07:20 2021-08-23 07:46:51 [INFO] [TRAIN] epoch: 326, iter: 121040/160000, loss: 0.0456, lr: 0.000015, batch_cost: 1.2193, reader_cost: 0.00022, ips: 1.6403 samples/sec | ETA 13:11:42 2021-08-23 07:47:03 [INFO] [TRAIN] epoch: 326, iter: 121050/160000, loss: 0.0498, lr: 0.000015, batch_cost: 1.2086, reader_cost: 0.00021, ips: 1.6548 samples/sec | ETA 13:04:35 2021-08-23 07:47:15 [INFO] [TRAIN] epoch: 326, iter: 121060/160000, loss: 0.0504, lr: 0.000015, batch_cost: 1.2210, reader_cost: 0.00021, ips: 1.6380 samples/sec | ETA 13:12:25 2021-08-23 07:47:28 [INFO] [TRAIN] epoch: 326, iter: 121070/160000, loss: 0.0538, lr: 0.000015, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6364 samples/sec | ETA 13:12:59 2021-08-23 07:47:40 [INFO] [TRAIN] epoch: 326, iter: 121080/160000, loss: 0.0417, lr: 0.000015, batch_cost: 1.2268, reader_cost: 0.00024, ips: 1.6303 samples/sec | ETA 13:15:46 2021-08-23 07:47:52 [INFO] [TRAIN] epoch: 326, iter: 121090/160000, loss: 0.0496, lr: 0.000015, batch_cost: 1.2161, reader_cost: 0.00023, ips: 1.6446 samples/sec | ETA 13:08:39 2021-08-23 07:48:04 [INFO] [TRAIN] epoch: 326, iter: 121100/160000, loss: 0.0460, lr: 0.000015, batch_cost: 1.2369, reader_cost: 0.00021, ips: 1.6169 samples/sec | ETA 13:21:56 2021-08-23 07:48:16 [INFO] [TRAIN] epoch: 326, iter: 121110/160000, loss: 0.0525, lr: 0.000015, batch_cost: 1.2165, reader_cost: 0.00021, ips: 1.6440 samples/sec | ETA 13:08:30 2021-08-23 07:48:29 [INFO] [TRAIN] epoch: 326, iter: 121120/160000, loss: 0.0475, lr: 0.000015, batch_cost: 1.2317, reader_cost: 0.00022, ips: 1.6237 samples/sec | ETA 13:18:09 2021-08-23 07:48:41 [INFO] [TRAIN] epoch: 326, iter: 121130/160000, loss: 0.0477, lr: 0.000015, batch_cost: 1.2292, reader_cost: 0.00021, ips: 1.6271 samples/sec | ETA 13:16:19 2021-08-23 07:48:53 [INFO] [TRAIN] epoch: 326, iter: 121140/160000, loss: 0.0419, lr: 0.000015, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6373 samples/sec | ETA 13:11:09 2021-08-23 07:49:05 [INFO] [TRAIN] epoch: 326, iter: 121150/160000, loss: 0.0532, lr: 0.000015, batch_cost: 1.2074, reader_cost: 0.00021, ips: 1.6564 samples/sec | ETA 13:01:48 2021-08-23 07:49:18 [INFO] [TRAIN] epoch: 326, iter: 121160/160000, loss: 0.0616, lr: 0.000015, batch_cost: 1.2206, reader_cost: 0.00022, ips: 1.6385 samples/sec | ETA 13:10:08 2021-08-23 07:49:30 [INFO] [TRAIN] epoch: 326, iter: 121170/160000, loss: 0.0488, lr: 0.000015, batch_cost: 1.2161, reader_cost: 0.00022, ips: 1.6446 samples/sec | ETA 13:06:59 2021-08-23 07:49:42 [INFO] [TRAIN] epoch: 326, iter: 121180/160000, loss: 0.0538, lr: 0.000015, batch_cost: 1.2310, reader_cost: 0.00023, ips: 1.6246 samples/sec | ETA 13:16:29 2021-08-23 07:49:54 [INFO] [TRAIN] epoch: 326, iter: 121190/160000, loss: 0.0487, lr: 0.000015, batch_cost: 1.2190, reader_cost: 0.00022, ips: 1.6406 samples/sec | ETA 13:08:31 2021-08-23 07:50:07 [INFO] [TRAIN] epoch: 326, iter: 121200/160000, loss: 0.0525, lr: 0.000015, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6288 samples/sec | ETA 13:14:02 2021-08-23 07:50:19 [INFO] [TRAIN] epoch: 326, iter: 121210/160000, loss: 0.0649, lr: 0.000015, batch_cost: 1.2426, reader_cost: 0.00021, ips: 1.6095 samples/sec | ETA 13:23:20 2021-08-23 07:50:31 [INFO] [TRAIN] epoch: 326, iter: 121220/160000, loss: 0.0561, lr: 0.000015, batch_cost: 1.2151, reader_cost: 0.00020, ips: 1.6459 samples/sec | ETA 13:05:22 2021-08-23 07:50:43 [INFO] [TRAIN] epoch: 326, iter: 121230/160000, loss: 0.0569, lr: 0.000015, batch_cost: 1.2124, reader_cost: 0.00022, ips: 1.6496 samples/sec | ETA 13:03:26 2021-08-23 07:50:56 [INFO] [TRAIN] epoch: 326, iter: 121240/160000, loss: 0.0505, lr: 0.000015, batch_cost: 1.2451, reader_cost: 0.00023, ips: 1.6063 samples/sec | ETA 13:24:19 2021-08-23 07:51:08 [INFO] [TRAIN] epoch: 326, iter: 121250/160000, loss: 0.0537, lr: 0.000015, batch_cost: 1.2217, reader_cost: 0.00020, ips: 1.6370 samples/sec | ETA 13:09:01 2021-08-23 07:51:20 [INFO] [TRAIN] epoch: 326, iter: 121260/160000, loss: 0.0505, lr: 0.000015, batch_cost: 1.2345, reader_cost: 0.00020, ips: 1.6201 samples/sec | ETA 13:17:04 2021-08-23 07:51:32 [INFO] [TRAIN] epoch: 326, iter: 121270/160000, loss: 0.0415, lr: 0.000015, batch_cost: 1.1823, reader_cost: 0.00015, ips: 1.6917 samples/sec | ETA 12:43:09 2021-08-23 07:51:47 [INFO] [TRAIN] epoch: 327, iter: 121280/160000, loss: 0.0483, lr: 0.000015, batch_cost: 1.5090, reader_cost: 0.25647, ips: 1.3254 samples/sec | ETA 16:13:47 2021-08-23 07:52:00 [INFO] [TRAIN] epoch: 327, iter: 121290/160000, loss: 0.0480, lr: 0.000015, batch_cost: 1.2393, reader_cost: 0.00081, ips: 1.6138 samples/sec | ETA 13:19:35 2021-08-23 07:52:12 [INFO] [TRAIN] epoch: 327, iter: 121300/160000, loss: 0.0524, lr: 0.000015, batch_cost: 1.2231, reader_cost: 0.00022, ips: 1.6351 samples/sec | ETA 13:08:55 2021-08-23 07:52:24 [INFO] [TRAIN] epoch: 327, iter: 121310/160000, loss: 0.0441, lr: 0.000015, batch_cost: 1.2211, reader_cost: 0.00022, ips: 1.6378 samples/sec | ETA 13:07:24 2021-08-23 07:52:36 [INFO] [TRAIN] epoch: 327, iter: 121320/160000, loss: 0.0445, lr: 0.000015, batch_cost: 1.2391, reader_cost: 0.00023, ips: 1.6141 samples/sec | ETA 13:18:46 2021-08-23 07:52:49 [INFO] [TRAIN] epoch: 327, iter: 121330/160000, loss: 0.0534, lr: 0.000015, batch_cost: 1.2258, reader_cost: 0.00070, ips: 1.6315 samples/sec | ETA 13:10:03 2021-08-23 07:53:01 [INFO] [TRAIN] epoch: 327, iter: 121340/160000, loss: 0.0575, lr: 0.000014, batch_cost: 1.2139, reader_cost: 0.00022, ips: 1.6476 samples/sec | ETA 13:02:09 2021-08-23 07:53:13 [INFO] [TRAIN] epoch: 327, iter: 121350/160000, loss: 0.0526, lr: 0.000014, batch_cost: 1.2310, reader_cost: 0.00023, ips: 1.6247 samples/sec | ETA 13:12:58 2021-08-23 07:53:25 [INFO] [TRAIN] epoch: 327, iter: 121360/160000, loss: 0.0463, lr: 0.000014, batch_cost: 1.2310, reader_cost: 0.00020, ips: 1.6248 samples/sec | ETA 13:12:43 2021-08-23 07:53:38 [INFO] [TRAIN] epoch: 327, iter: 121370/160000, loss: 0.0630, lr: 0.000014, batch_cost: 1.2204, reader_cost: 0.00021, ips: 1.6388 samples/sec | ETA 13:05:45 2021-08-23 07:53:50 [INFO] [TRAIN] epoch: 327, iter: 121380/160000, loss: 0.0448, lr: 0.000014, batch_cost: 1.2216, reader_cost: 0.00021, ips: 1.6372 samples/sec | ETA 13:06:18 2021-08-23 07:54:02 [INFO] [TRAIN] epoch: 327, iter: 121390/160000, loss: 0.0468, lr: 0.000014, batch_cost: 1.2239, reader_cost: 0.00022, ips: 1.6341 samples/sec | ETA 13:07:34 2021-08-23 07:54:14 [INFO] [TRAIN] epoch: 327, iter: 121400/160000, loss: 0.0593, lr: 0.000014, batch_cost: 1.2217, reader_cost: 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loss: 0.0505, lr: 0.000014, batch_cost: 1.2229, reader_cost: 0.00022, ips: 1.6354 samples/sec | ETA 13:05:30 2021-08-23 07:55:40 [INFO] [TRAIN] epoch: 327, iter: 121470/160000, loss: 0.0607, lr: 0.000014, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6255 samples/sec | ETA 13:10:07 2021-08-23 07:55:52 [INFO] [TRAIN] epoch: 327, iter: 121480/160000, loss: 0.0500, lr: 0.000014, batch_cost: 1.2338, reader_cost: 0.00024, ips: 1.6210 samples/sec | ETA 13:12:07 2021-08-23 07:56:05 [INFO] [TRAIN] epoch: 327, iter: 121490/160000, loss: 0.0423, lr: 0.000014, batch_cost: 1.2156, reader_cost: 0.00021, ips: 1.6452 samples/sec | ETA 13:00:13 2021-08-23 07:56:17 [INFO] [TRAIN] epoch: 327, iter: 121500/160000, loss: 0.0519, lr: 0.000014, batch_cost: 1.2298, reader_cost: 0.00021, ips: 1.6263 samples/sec | ETA 13:09:07 2021-08-23 07:56:29 [INFO] [TRAIN] epoch: 327, iter: 121510/160000, loss: 0.0541, lr: 0.000014, batch_cost: 1.2311, reader_cost: 0.00022, ips: 1.6245 samples/sec | ETA 13:09:45 2021-08-23 07:56:41 [INFO] [TRAIN] epoch: 327, iter: 121520/160000, loss: 0.0522, lr: 0.000014, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 13:05:09 2021-08-23 07:56:54 [INFO] [TRAIN] epoch: 327, iter: 121530/160000, loss: 0.0564, lr: 0.000014, batch_cost: 1.2420, reader_cost: 0.00022, ips: 1.6103 samples/sec | ETA 13:16:19 2021-08-23 07:57:06 [INFO] [TRAIN] epoch: 327, iter: 121540/160000, loss: 0.0480, lr: 0.000014, batch_cost: 1.2254, reader_cost: 0.00021, ips: 1.6321 samples/sec | ETA 13:05:29 2021-08-23 07:57:19 [INFO] [TRAIN] epoch: 327, iter: 121550/160000, loss: 0.0533, lr: 0.000014, batch_cost: 1.2334, reader_cost: 0.00023, ips: 1.6215 samples/sec | ETA 13:10:25 2021-08-23 07:57:31 [INFO] [TRAIN] epoch: 327, iter: 121560/160000, loss: 0.0509, lr: 0.000014, batch_cost: 1.2294, reader_cost: 0.00023, ips: 1.6268 samples/sec | ETA 13:07:38 2021-08-23 07:57:43 [INFO] [TRAIN] epoch: 327, iter: 121570/160000, loss: 0.0536, lr: 0.000014, batch_cost: 1.2286, 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121630/160000, loss: 0.0387, lr: 0.000014, batch_cost: 1.2276, reader_cost: 0.00022, ips: 1.6292 samples/sec | ETA 13:05:03 2021-08-23 07:59:09 [INFO] [TRAIN] epoch: 327, iter: 121640/160000, loss: 0.0548, lr: 0.000014, batch_cost: 1.1923, reader_cost: 0.00018, ips: 1.6775 samples/sec | ETA 12:42:14 2021-08-23 07:59:24 [INFO] [TRAIN] epoch: 328, iter: 121650/160000, loss: 0.0559, lr: 0.000014, batch_cost: 1.4962, reader_cost: 0.19855, ips: 1.3367 samples/sec | ETA 15:56:19 2021-08-23 07:59:36 [INFO] [TRAIN] epoch: 328, iter: 121660/160000, loss: 0.0559, lr: 0.000014, batch_cost: 1.2210, reader_cost: 0.00096, ips: 1.6381 samples/sec | ETA 13:00:11 2021-08-23 07:59:48 [INFO] [TRAIN] epoch: 328, iter: 121670/160000, loss: 0.0428, lr: 0.000014, batch_cost: 1.2019, reader_cost: 0.00022, ips: 1.6640 samples/sec | ETA 12:47:50 2021-08-23 08:00:00 [INFO] [TRAIN] epoch: 328, iter: 121680/160000, loss: 0.0509, lr: 0.000014, batch_cost: 1.2397, reader_cost: 0.00023, ips: 1.6133 samples/sec | ETA 13:11:44 2021-08-23 08:00:13 [INFO] [TRAIN] epoch: 328, iter: 121690/160000, loss: 0.0520, lr: 0.000014, batch_cost: 1.2219, reader_cost: 0.00021, ips: 1.6368 samples/sec | ETA 13:00:11 2021-08-23 08:00:25 [INFO] [TRAIN] epoch: 328, iter: 121700/160000, loss: 0.0536, lr: 0.000014, batch_cost: 1.2167, reader_cost: 0.00020, ips: 1.6438 samples/sec | ETA 12:56:38 2021-08-23 08:00:37 [INFO] [TRAIN] epoch: 328, iter: 121710/160000, loss: 0.0532, lr: 0.000014, batch_cost: 1.2141, reader_cost: 0.00022, ips: 1.6473 samples/sec | ETA 12:54:47 2021-08-23 08:00:49 [INFO] [TRAIN] epoch: 328, iter: 121720/160000, loss: 0.0529, lr: 0.000014, batch_cost: 1.2166, reader_cost: 0.00021, ips: 1.6440 samples/sec | ETA 12:56:09 2021-08-23 08:01:01 [INFO] [TRAIN] epoch: 328, iter: 121730/160000, loss: 0.0510, lr: 0.000014, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6330 samples/sec | ETA 13:01:11 2021-08-23 08:01:14 [INFO] [TRAIN] epoch: 328, iter: 121740/160000, loss: 0.0427, lr: 0.000014, batch_cost: 1.2231, reader_cost: 0.00023, ips: 1.6352 samples/sec | ETA 12:59:54 2021-08-23 08:01:26 [INFO] [TRAIN] epoch: 328, iter: 121750/160000, loss: 0.0583, lr: 0.000014, batch_cost: 1.2336, reader_cost: 0.00024, ips: 1.6213 samples/sec | ETA 13:06:24 2021-08-23 08:01:38 [INFO] [TRAIN] epoch: 328, iter: 121760/160000, loss: 0.0482, lr: 0.000014, batch_cost: 1.2409, reader_cost: 0.00022, ips: 1.6118 samples/sec | ETA 13:10:50 2021-08-23 08:01:50 [INFO] [TRAIN] epoch: 328, iter: 121770/160000, loss: 0.0502, lr: 0.000014, batch_cost: 1.2132, reader_cost: 0.00024, ips: 1.6485 samples/sec | ETA 12:53:01 2021-08-23 08:02:03 [INFO] [TRAIN] epoch: 328, iter: 121780/160000, loss: 0.0642, lr: 0.000014, batch_cost: 1.2193, reader_cost: 0.00022, ips: 1.6403 samples/sec | ETA 12:56:40 2021-08-23 08:02:15 [INFO] [TRAIN] epoch: 328, iter: 121790/160000, loss: 0.0522, lr: 0.000014, batch_cost: 1.2259, reader_cost: 0.00021, ips: 1.6314 samples/sec | ETA 13:00:42 2021-08-23 08:02:27 [INFO] [TRAIN] epoch: 328, iter: 121800/160000, loss: 0.0489, lr: 0.000014, batch_cost: 1.2337, reader_cost: 0.00022, ips: 1.6212 samples/sec | ETA 13:05:26 2021-08-23 08:02:40 [INFO] [TRAIN] epoch: 328, iter: 121810/160000, loss: 0.0450, lr: 0.000014, batch_cost: 1.2299, reader_cost: 0.00021, ips: 1.6262 samples/sec | ETA 13:02:48 2021-08-23 08:02:52 [INFO] [TRAIN] epoch: 328, iter: 121820/160000, loss: 0.0537, lr: 0.000014, batch_cost: 1.2266, reader_cost: 0.00020, ips: 1.6305 samples/sec | ETA 13:00:30 2021-08-23 08:03:04 [INFO] [TRAIN] epoch: 328, iter: 121830/160000, loss: 0.0476, lr: 0.000014, batch_cost: 1.2127, reader_cost: 0.00020, ips: 1.6492 samples/sec | ETA 12:51:30 2021-08-23 08:03:16 [INFO] [TRAIN] epoch: 328, iter: 121840/160000, loss: 0.0537, lr: 0.000014, batch_cost: 1.2279, reader_cost: 0.00019, ips: 1.6288 samples/sec | ETA 13:00:57 2021-08-23 08:03:29 [INFO] [TRAIN] epoch: 328, iter: 121850/160000, loss: 0.0462, lr: 0.000014, batch_cost: 1.2442, reader_cost: 0.00020, ips: 1.6075 samples/sec | ETA 13:11:04 2021-08-23 08:03:41 [INFO] [TRAIN] epoch: 328, iter: 121860/160000, loss: 0.0449, lr: 0.000014, batch_cost: 1.2152, reader_cost: 0.00020, ips: 1.6458 samples/sec | ETA 12:52:26 2021-08-23 08:03:53 [INFO] [TRAIN] epoch: 328, iter: 121870/160000, loss: 0.0500, lr: 0.000014, batch_cost: 1.2193, reader_cost: 0.00025, ips: 1.6403 samples/sec | ETA 12:54:51 2021-08-23 08:04:05 [INFO] [TRAIN] epoch: 328, iter: 121880/160000, loss: 0.0660, lr: 0.000014, batch_cost: 1.2143, reader_cost: 0.00022, ips: 1.6471 samples/sec | ETA 12:51:28 2021-08-23 08:04:17 [INFO] [TRAIN] epoch: 328, iter: 121890/160000, loss: 0.0484, lr: 0.000014, batch_cost: 1.2280, reader_cost: 0.00021, ips: 1.6286 samples/sec | ETA 13:00:00 2021-08-23 08:04:30 [INFO] [TRAIN] epoch: 328, iter: 121900/160000, loss: 0.0538, lr: 0.000014, batch_cost: 1.2158, reader_cost: 0.00020, ips: 1.6450 samples/sec | ETA 12:52:03 2021-08-23 08:04:42 [INFO] [TRAIN] epoch: 328, iter: 121910/160000, loss: 0.0425, lr: 0.000014, batch_cost: 1.2530, reader_cost: 0.00025, ips: 1.5962 samples/sec | ETA 13:15:26 2021-08-23 08:04:54 [INFO] [TRAIN] epoch: 328, iter: 121920/160000, loss: 0.0375, lr: 0.000014, batch_cost: 1.2310, reader_cost: 0.00024, ips: 1.6248 samples/sec | ETA 13:01:14 2021-08-23 08:05:07 [INFO] [TRAIN] epoch: 328, iter: 121930/160000, loss: 0.0537, lr: 0.000014, batch_cost: 1.2384, reader_cost: 0.00020, ips: 1.6149 samples/sec | ETA 13:05:47 2021-08-23 08:05:19 [INFO] [TRAIN] epoch: 328, iter: 121940/160000, loss: 0.0522, lr: 0.000014, batch_cost: 1.2157, reader_cost: 0.00020, ips: 1.6451 samples/sec | ETA 12:51:11 2021-08-23 08:05:31 [INFO] [TRAIN] epoch: 328, iter: 121950/160000, loss: 0.0473, lr: 0.000014, batch_cost: 1.2160, reader_cost: 0.00022, ips: 1.6448 samples/sec | ETA 12:51:07 2021-08-23 08:05:43 [INFO] [TRAIN] epoch: 328, iter: 121960/160000, loss: 0.0512, lr: 0.000014, batch_cost: 1.2113, reader_cost: 0.00023, ips: 1.6511 samples/sec | ETA 12:47:59 2021-08-23 08:05:56 [INFO] [TRAIN] epoch: 328, iter: 121970/160000, loss: 0.0422, lr: 0.000014, batch_cost: 1.2341, reader_cost: 0.00022, ips: 1.6206 samples/sec | ETA 13:02:13 2021-08-23 08:06:08 [INFO] [TRAIN] epoch: 328, iter: 121980/160000, loss: 0.0558, lr: 0.000014, batch_cost: 1.2253, reader_cost: 0.00021, ips: 1.6322 samples/sec | ETA 12:56:26 2021-08-23 08:06:20 [INFO] [TRAIN] epoch: 328, iter: 121990/160000, loss: 0.0493, lr: 0.000014, batch_cost: 1.2075, reader_cost: 0.00020, ips: 1.6563 samples/sec | ETA 12:44:57 2021-08-23 08:06:32 [INFO] [TRAIN] epoch: 328, iter: 122000/160000, loss: 0.0528, lr: 0.000014, batch_cost: 1.2254, reader_cost: 0.00021, ips: 1.6321 samples/sec | ETA 12:56:05 2021-08-23 08:06:44 [INFO] [TRAIN] epoch: 328, iter: 122010/160000, loss: 0.0440, lr: 0.000014, batch_cost: 1.2086, reader_cost: 0.00020, ips: 1.6548 samples/sec | ETA 12:45:14 2021-08-23 08:06:59 [INFO] [TRAIN] epoch: 329, iter: 122020/160000, loss: 0.0517, lr: 0.000014, batch_cost: 1.4958, reader_cost: 0.20339, ips: 1.3371 samples/sec | ETA 15:46:49 2021-08-23 08:07:11 [INFO] [TRAIN] epoch: 329, iter: 122030/160000, loss: 0.0515, lr: 0.000014, batch_cost: 1.2139, reader_cost: 0.00074, ips: 1.6476 samples/sec | ETA 12:48:10 2021-08-23 08:07:24 [INFO] [TRAIN] epoch: 329, iter: 122040/160000, loss: 0.0459, lr: 0.000014, batch_cost: 1.2260, reader_cost: 0.00022, ips: 1.6314 samples/sec | ETA 12:55:37 2021-08-23 08:07:36 [INFO] [TRAIN] epoch: 329, iter: 122050/160000, loss: 0.0591, lr: 0.000014, batch_cost: 1.2155, reader_cost: 0.00021, ips: 1.6454 samples/sec | ETA 12:48:48 2021-08-23 08:07:48 [INFO] [TRAIN] epoch: 329, iter: 122060/160000, loss: 0.0537, lr: 0.000014, batch_cost: 1.2536, reader_cost: 0.00022, ips: 1.5953 samples/sec | ETA 13:12:43 2021-08-23 08:08:01 [INFO] [TRAIN] epoch: 329, iter: 122070/160000, loss: 0.0484, lr: 0.000014, batch_cost: 1.2347, reader_cost: 0.00068, ips: 1.6198 samples/sec | ETA 13:00:33 2021-08-23 08:08:13 [INFO] [TRAIN] epoch: 329, iter: 122080/160000, loss: 0.0528, lr: 0.000014, batch_cost: 1.2407, reader_cost: 0.00021, ips: 1.6119 samples/sec | ETA 13:04:09 2021-08-23 08:08:25 [INFO] [TRAIN] epoch: 329, iter: 122090/160000, loss: 0.0515, lr: 0.000014, batch_cost: 1.2114, reader_cost: 0.00021, ips: 1.6510 samples/sec | ETA 12:45:23 2021-08-23 08:08:37 [INFO] [TRAIN] epoch: 329, iter: 122100/160000, loss: 0.0609, lr: 0.000014, batch_cost: 1.2208, reader_cost: 0.00023, ips: 1.6382 samples/sec | ETA 12:51:09 2021-08-23 08:08:50 [INFO] [TRAIN] epoch: 329, iter: 122110/160000, loss: 0.0568, lr: 0.000014, batch_cost: 1.2460, reader_cost: 0.00022, ips: 1.6052 samples/sec | ETA 13:06:49 2021-08-23 08:09:02 [INFO] [TRAIN] epoch: 329, iter: 122120/160000, loss: 0.0571, lr: 0.000014, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6340 samples/sec | ETA 12:52:45 2021-08-23 08:09:14 [INFO] [TRAIN] epoch: 329, iter: 122130/160000, loss: 0.0578, lr: 0.000014, batch_cost: 1.2206, reader_cost: 0.00021, ips: 1.6385 samples/sec | ETA 12:50:25 2021-08-23 08:09:27 [INFO] [TRAIN] epoch: 329, iter: 122140/160000, loss: 0.0633, lr: 0.000014, batch_cost: 1.2247, reader_cost: 0.00023, ips: 1.6331 samples/sec | ETA 12:52:46 2021-08-23 08:09:39 [INFO] [TRAIN] epoch: 329, iter: 122150/160000, loss: 0.0461, lr: 0.000014, batch_cost: 1.2196, reader_cost: 0.00022, ips: 1.6399 samples/sec | ETA 12:49:20 2021-08-23 08:09:51 [INFO] [TRAIN] epoch: 329, iter: 122160/160000, loss: 0.0562, lr: 0.000014, batch_cost: 1.2238, reader_cost: 0.00022, ips: 1.6343 samples/sec | ETA 12:51:47 2021-08-23 08:10:03 [INFO] [TRAIN] epoch: 329, iter: 122170/160000, loss: 0.0556, lr: 0.000014, batch_cost: 1.2380, reader_cost: 0.00022, ips: 1.6156 samples/sec | ETA 13:00:32 2021-08-23 08:10:16 [INFO] [TRAIN] epoch: 329, iter: 122180/160000, loss: 0.0421, lr: 0.000014, batch_cost: 1.2295, reader_cost: 0.00021, ips: 1.6267 samples/sec | ETA 12:55:00 2021-08-23 08:10:28 [INFO] [TRAIN] epoch: 329, iter: 122190/160000, loss: 0.0516, lr: 0.000014, batch_cost: 1.2106, 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12:48:14 2021-08-23 08:12:56 [INFO] [TRAIN] epoch: 329, iter: 122310/160000, loss: 0.0615, lr: 0.000014, batch_cost: 1.2374, reader_cost: 0.00022, ips: 1.6163 samples/sec | ETA 12:57:17 2021-08-23 08:13:08 [INFO] [TRAIN] epoch: 329, iter: 122320/160000, loss: 0.0605, lr: 0.000014, batch_cost: 1.2347, reader_cost: 0.00023, ips: 1.6199 samples/sec | ETA 12:55:22 2021-08-23 08:13:20 [INFO] [TRAIN] epoch: 329, iter: 122330/160000, loss: 0.0621, lr: 0.000014, batch_cost: 1.2222, reader_cost: 0.00021, ips: 1.6364 samples/sec | ETA 12:47:21 2021-08-23 08:13:32 [INFO] [TRAIN] epoch: 329, iter: 122340/160000, loss: 0.0520, lr: 0.000014, batch_cost: 1.2273, reader_cost: 0.00021, ips: 1.6295 samples/sec | ETA 12:50:21 2021-08-23 08:13:45 [INFO] [TRAIN] epoch: 329, iter: 122350/160000, loss: 0.0564, lr: 0.000014, batch_cost: 1.2353, reader_cost: 0.00021, ips: 1.6190 samples/sec | ETA 12:55:09 2021-08-23 08:13:57 [INFO] [TRAIN] epoch: 329, iter: 122360/160000, loss: 0.0497, lr: 0.000014, batch_cost: 1.2189, reader_cost: 0.00022, ips: 1.6408 samples/sec | ETA 12:44:38 2021-08-23 08:14:09 [INFO] [TRAIN] epoch: 329, iter: 122370/160000, loss: 0.0553, lr: 0.000014, batch_cost: 1.2168, reader_cost: 0.00024, ips: 1.6436 samples/sec | ETA 12:43:09 2021-08-23 08:14:21 [INFO] [TRAIN] epoch: 329, iter: 122380/160000, loss: 0.0534, lr: 0.000014, batch_cost: 1.1989, reader_cost: 0.00019, ips: 1.6682 samples/sec | ETA 12:31:43 2021-08-23 08:14:36 [INFO] [TRAIN] epoch: 330, iter: 122390/160000, loss: 0.0546, lr: 0.000014, batch_cost: 1.4624, reader_cost: 0.22765, ips: 1.3676 samples/sec | ETA 15:16:39 2021-08-23 08:14:48 [INFO] [TRAIN] epoch: 330, iter: 122400/160000, loss: 0.0566, lr: 0.000014, batch_cost: 1.2356, reader_cost: 0.00082, ips: 1.6186 samples/sec | ETA 12:54:19 2021-08-23 08:15:01 [INFO] [TRAIN] epoch: 330, iter: 122410/160000, loss: 0.0522, lr: 0.000014, batch_cost: 1.2348, reader_cost: 0.00022, ips: 1.6197 samples/sec | ETA 12:53:34 2021-08-23 08:15:13 [INFO] [TRAIN] epoch: 330, iter: 122420/160000, loss: 0.0495, lr: 0.000014, batch_cost: 1.2354, reader_cost: 0.00023, ips: 1.6188 samples/sec | ETA 12:53:48 2021-08-23 08:15:25 [INFO] [TRAIN] epoch: 330, iter: 122430/160000, loss: 0.0515, lr: 0.000014, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6351 samples/sec | ETA 12:45:54 2021-08-23 08:15:37 [INFO] [TRAIN] epoch: 330, iter: 122440/160000, loss: 0.0511, lr: 0.000014, batch_cost: 1.2182, reader_cost: 0.00021, ips: 1.6417 samples/sec | ETA 12:42:36 2021-08-23 08:15:50 [INFO] [TRAIN] epoch: 330, iter: 122450/160000, loss: 0.0479, lr: 0.000014, batch_cost: 1.2273, reader_cost: 0.00022, ips: 1.6296 samples/sec | ETA 12:48:05 2021-08-23 08:16:02 [INFO] [TRAIN] epoch: 330, iter: 122460/160000, loss: 0.0517, lr: 0.000014, batch_cost: 1.2491, reader_cost: 0.00024, ips: 1.6012 samples/sec | ETA 13:01:29 2021-08-23 08:16:14 [INFO] [TRAIN] epoch: 330, iter: 122470/160000, loss: 0.0530, lr: 0.000014, batch_cost: 1.2228, reader_cost: 0.00022, ips: 1.6356 samples/sec | ETA 12:44:50 2021-08-23 08:16:27 [INFO] [TRAIN] epoch: 330, iter: 122480/160000, loss: 0.0385, lr: 0.000014, batch_cost: 1.2368, reader_cost: 0.00021, ips: 1.6171 samples/sec | ETA 12:53:25 2021-08-23 08:16:39 [INFO] [TRAIN] epoch: 330, iter: 122490/160000, loss: 0.0444, lr: 0.000014, batch_cost: 1.2355, reader_cost: 0.00022, ips: 1.6188 samples/sec | ETA 12:52:22 2021-08-23 08:16:51 [INFO] [TRAIN] epoch: 330, iter: 122500/160000, loss: 0.0582, lr: 0.000014, batch_cost: 1.2281, reader_cost: 0.00021, ips: 1.6285 samples/sec | ETA 12:47:34 2021-08-23 08:17:03 [INFO] [TRAIN] epoch: 330, iter: 122510/160000, loss: 0.0565, lr: 0.000014, batch_cost: 1.2202, reader_cost: 0.00023, ips: 1.6391 samples/sec | ETA 12:42:25 2021-08-23 08:17:16 [INFO] [TRAIN] epoch: 330, iter: 122520/160000, loss: 0.0559, lr: 0.000014, batch_cost: 1.2169, reader_cost: 0.00021, ips: 1.6435 samples/sec | ETA 12:40:09 2021-08-23 08:17:28 [INFO] [TRAIN] epoch: 330, iter: 122530/160000, loss: 0.0630, lr: 0.000014, batch_cost: 1.2348, reader_cost: 0.00025, ips: 1.6197 samples/sec | ETA 12:51:08 2021-08-23 08:17:40 [INFO] [TRAIN] epoch: 330, iter: 122540/160000, loss: 0.0627, lr: 0.000014, batch_cost: 1.2276, reader_cost: 0.00021, ips: 1.6292 samples/sec | ETA 12:46:26 2021-08-23 08:17:53 [INFO] [TRAIN] epoch: 330, iter: 122550/160000, loss: 0.0551, lr: 0.000014, batch_cost: 1.2234, reader_cost: 0.00022, ips: 1.6348 samples/sec | ETA 12:43:36 2021-08-23 08:18:05 [INFO] [TRAIN] epoch: 330, iter: 122560/160000, loss: 0.0479, lr: 0.000014, batch_cost: 1.2182, reader_cost: 0.00021, ips: 1.6418 samples/sec | ETA 12:40:09 2021-08-23 08:18:17 [INFO] [TRAIN] epoch: 330, iter: 122570/160000, loss: 0.0459, lr: 0.000014, batch_cost: 1.2368, reader_cost: 0.00021, ips: 1.6171 samples/sec | ETA 12:51:32 2021-08-23 08:18:29 [INFO] [TRAIN] epoch: 330, iter: 122580/160000, loss: 0.0555, lr: 0.000014, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6389 samples/sec | ETA 12:41:05 2021-08-23 08:18:42 [INFO] [TRAIN] epoch: 330, iter: 122590/160000, loss: 0.0526, lr: 0.000014, batch_cost: 1.2318, reader_cost: 0.00023, ips: 1.6236 samples/sec | ETA 12:48:02 2021-08-23 08:18:54 [INFO] [TRAIN] epoch: 330, iter: 122600/160000, loss: 0.0528, lr: 0.000014, batch_cost: 1.2407, reader_cost: 0.00021, ips: 1.6120 samples/sec | ETA 12:53:22 2021-08-23 08:19:06 [INFO] [TRAIN] epoch: 330, iter: 122610/160000, loss: 0.0547, lr: 0.000014, batch_cost: 1.2290, reader_cost: 0.00025, ips: 1.6274 samples/sec | ETA 12:45:51 2021-08-23 08:19:19 [INFO] [TRAIN] epoch: 330, iter: 122620/160000, loss: 0.0530, lr: 0.000014, batch_cost: 1.2246, reader_cost: 0.00025, ips: 1.6332 samples/sec | ETA 12:42:54 2021-08-23 08:19:31 [INFO] [TRAIN] epoch: 330, iter: 122630/160000, loss: 0.0479, lr: 0.000014, batch_cost: 1.2303, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 12:46:14 2021-08-23 08:19:43 [INFO] [TRAIN] epoch: 330, iter: 122640/160000, loss: 0.0513, lr: 0.000014, batch_cost: 1.2342, reader_cost: 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loss: 0.0508, lr: 0.000014, batch_cost: 1.2444, reader_cost: 0.00021, ips: 1.6073 samples/sec | ETA 12:53:34 2021-08-23 08:21:10 [INFO] [TRAIN] epoch: 330, iter: 122710/160000, loss: 0.0526, lr: 0.000014, batch_cost: 1.2266, reader_cost: 0.00021, ips: 1.6305 samples/sec | ETA 12:42:20 2021-08-23 08:21:22 [INFO] [TRAIN] epoch: 330, iter: 122720/160000, loss: 0.0501, lr: 0.000014, batch_cost: 1.2231, reader_cost: 0.00020, ips: 1.6352 samples/sec | ETA 12:39:57 2021-08-23 08:21:35 [INFO] [TRAIN] epoch: 330, iter: 122730/160000, loss: 0.0515, lr: 0.000014, batch_cost: 1.2322, reader_cost: 0.00022, ips: 1.6231 samples/sec | ETA 12:45:24 2021-08-23 08:21:47 [INFO] [TRAIN] epoch: 330, iter: 122740/160000, loss: 0.0497, lr: 0.000014, batch_cost: 1.2238, reader_cost: 0.00020, ips: 1.6343 samples/sec | ETA 12:39:58 2021-08-23 08:21:59 [INFO] [TRAIN] epoch: 330, iter: 122750/160000, loss: 0.0500, lr: 0.000014, batch_cost: 1.2085, reader_cost: 0.00021, ips: 1.6549 samples/sec | ETA 12:30:16 2021-08-23 08:22:11 [INFO] [TRAIN] epoch: 330, iter: 122760/160000, loss: 0.0418, lr: 0.000014, batch_cost: 1.1837, reader_cost: 0.00015, ips: 1.6897 samples/sec | ETA 12:14:39 2021-08-23 08:22:26 [INFO] [TRAIN] epoch: 331, iter: 122770/160000, loss: 0.0628, lr: 0.000014, batch_cost: 1.4896, reader_cost: 0.22080, ips: 1.3427 samples/sec | ETA 15:24:17 2021-08-23 08:22:38 [INFO] [TRAIN] epoch: 331, iter: 122780/160000, loss: 0.0487, lr: 0.000014, batch_cost: 1.2351, reader_cost: 0.00088, ips: 1.6193 samples/sec | ETA 12:46:10 2021-08-23 08:22:50 [INFO] [TRAIN] epoch: 331, iter: 122790/160000, loss: 0.0509, lr: 0.000014, batch_cost: 1.2220, reader_cost: 0.00022, ips: 1.6366 samples/sec | ETA 12:37:52 2021-08-23 08:23:03 [INFO] [TRAIN] epoch: 331, iter: 122800/160000, loss: 0.0474, lr: 0.000014, batch_cost: 1.2244, reader_cost: 0.00020, ips: 1.6335 samples/sec | ETA 12:39:07 2021-08-23 08:23:15 [INFO] [TRAIN] epoch: 331, iter: 122810/160000, loss: 0.0474, lr: 0.000014, batch_cost: 1.2269, 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122870/160000, loss: 0.0528, lr: 0.000014, batch_cost: 1.2171, reader_cost: 0.00020, ips: 1.6432 samples/sec | ETA 12:33:11 2021-08-23 08:24:40 [INFO] [TRAIN] epoch: 331, iter: 122880/160000, loss: 0.0482, lr: 0.000014, batch_cost: 1.2297, reader_cost: 0.00020, ips: 1.6264 samples/sec | ETA 12:40:46 2021-08-23 08:24:53 [INFO] [TRAIN] epoch: 331, iter: 122890/160000, loss: 0.0444, lr: 0.000014, batch_cost: 1.2143, reader_cost: 0.00019, ips: 1.6470 samples/sec | ETA 12:31:02 2021-08-23 08:25:05 [INFO] [TRAIN] epoch: 331, iter: 122900/160000, loss: 0.0503, lr: 0.000014, batch_cost: 1.2270, reader_cost: 0.00020, ips: 1.6300 samples/sec | ETA 12:38:41 2021-08-23 08:25:17 [INFO] [TRAIN] epoch: 331, iter: 122910/160000, loss: 0.0543, lr: 0.000014, batch_cost: 1.2518, reader_cost: 0.00021, ips: 1.5978 samples/sec | ETA 12:53:47 2021-08-23 08:25:29 [INFO] [TRAIN] epoch: 331, iter: 122920/160000, loss: 0.0372, lr: 0.000014, batch_cost: 1.2153, reader_cost: 0.00021, ips: 1.6457 samples/sec | ETA 12:31:02 2021-08-23 08:25:42 [INFO] [TRAIN] epoch: 331, iter: 122930/160000, loss: 0.0511, lr: 0.000014, batch_cost: 1.2276, reader_cost: 0.00022, ips: 1.6292 samples/sec | ETA 12:38:27 2021-08-23 08:25:54 [INFO] [TRAIN] epoch: 331, iter: 122940/160000, loss: 0.0517, lr: 0.000014, batch_cost: 1.2123, reader_cost: 0.00022, ips: 1.6498 samples/sec | ETA 12:28:46 2021-08-23 08:26:06 [INFO] [TRAIN] epoch: 331, iter: 122950/160000, loss: 0.0459, lr: 0.000014, batch_cost: 1.2231, reader_cost: 0.00021, ips: 1.6352 samples/sec | ETA 12:35:15 2021-08-23 08:26:18 [INFO] [TRAIN] epoch: 331, iter: 122960/160000, loss: 0.0594, lr: 0.000014, batch_cost: 1.2177, reader_cost: 0.00023, ips: 1.6424 samples/sec | ETA 12:31:44 2021-08-23 08:26:31 [INFO] [TRAIN] epoch: 331, iter: 122970/160000, loss: 0.0580, lr: 0.000014, batch_cost: 1.2323, reader_cost: 0.00023, ips: 1.6230 samples/sec | ETA 12:40:30 2021-08-23 08:26:43 [INFO] [TRAIN] epoch: 331, iter: 122980/160000, loss: 0.0558, lr: 0.000014, batch_cost: 1.2147, reader_cost: 0.00020, ips: 1.6465 samples/sec | ETA 12:29:28 2021-08-23 08:26:55 [INFO] [TRAIN] epoch: 331, iter: 122990/160000, loss: 0.0537, lr: 0.000014, batch_cost: 1.2368, reader_cost: 0.00023, ips: 1.6171 samples/sec | ETA 12:42:53 2021-08-23 08:27:07 [INFO] [TRAIN] epoch: 331, iter: 123000/160000, loss: 0.0505, lr: 0.000014, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6388 samples/sec | ETA 12:32:35 2021-08-23 08:27:20 [INFO] [TRAIN] epoch: 331, iter: 123010/160000, loss: 0.0435, lr: 0.000014, batch_cost: 1.2180, reader_cost: 0.00023, ips: 1.6420 samples/sec | ETA 12:30:53 2021-08-23 08:27:32 [INFO] [TRAIN] epoch: 331, iter: 123020/160000, loss: 0.0442, lr: 0.000014, batch_cost: 1.2268, reader_cost: 0.00021, ips: 1.6302 samples/sec | ETA 12:36:08 2021-08-23 08:27:44 [INFO] [TRAIN] epoch: 331, iter: 123030/160000, loss: 0.0466, lr: 0.000014, batch_cost: 1.2131, reader_cost: 0.00022, ips: 1.6486 samples/sec | ETA 12:27:29 2021-08-23 08:27:56 [INFO] [TRAIN] epoch: 331, iter: 123040/160000, loss: 0.0496, lr: 0.000014, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6364 samples/sec | ETA 12:32:53 2021-08-23 08:28:08 [INFO] [TRAIN] epoch: 331, iter: 123050/160000, loss: 0.0498, lr: 0.000014, batch_cost: 1.2272, reader_cost: 0.00021, ips: 1.6298 samples/sec | ETA 12:35:44 2021-08-23 08:28:21 [INFO] [TRAIN] epoch: 331, iter: 123060/160000, loss: 0.0500, lr: 0.000014, batch_cost: 1.2419, reader_cost: 0.00021, ips: 1.6104 samples/sec | ETA 12:44:37 2021-08-23 08:28:33 [INFO] [TRAIN] epoch: 331, iter: 123070/160000, loss: 0.0526, lr: 0.000014, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6305 samples/sec | ETA 12:34:58 2021-08-23 08:28:45 [INFO] [TRAIN] epoch: 331, iter: 123080/160000, loss: 0.0584, lr: 0.000014, batch_cost: 1.2318, reader_cost: 0.00022, ips: 1.6236 samples/sec | ETA 12:37:58 2021-08-23 08:28:58 [INFO] [TRAIN] epoch: 331, iter: 123090/160000, loss: 0.0576, lr: 0.000014, batch_cost: 1.2205, reader_cost: 0.00022, ips: 1.6387 samples/sec | ETA 12:30:47 2021-08-23 08:29:10 [INFO] [TRAIN] epoch: 331, iter: 123100/160000, loss: 0.0560, lr: 0.000014, batch_cost: 1.2099, reader_cost: 0.00021, ips: 1.6531 samples/sec | ETA 12:24:03 2021-08-23 08:29:22 [INFO] [TRAIN] epoch: 331, iter: 123110/160000, loss: 0.0477, lr: 0.000014, batch_cost: 1.2296, reader_cost: 0.00024, ips: 1.6265 samples/sec | ETA 12:36:00 2021-08-23 08:29:34 [INFO] [TRAIN] epoch: 331, iter: 123120/160000, loss: 0.0553, lr: 0.000014, batch_cost: 1.2324, reader_cost: 0.00025, ips: 1.6229 samples/sec | ETA 12:37:30 2021-08-23 08:29:46 [INFO] [TRAIN] epoch: 331, iter: 123130/160000, loss: 0.0659, lr: 0.000014, batch_cost: 1.1855, reader_cost: 0.00017, ips: 1.6871 samples/sec | ETA 12:08:29 2021-08-23 08:30:01 [INFO] [TRAIN] epoch: 332, iter: 123140/160000, loss: 0.0489, lr: 0.000014, batch_cost: 1.5205, reader_cost: 0.24238, ips: 1.3154 samples/sec | ETA 15:34:05 2021-08-23 08:30:14 [INFO] [TRAIN] epoch: 332, iter: 123150/160000, loss: 0.0483, lr: 0.000014, batch_cost: 1.2320, reader_cost: 0.00073, ips: 1.6234 samples/sec | ETA 12:36:38 2021-08-23 08:30:26 [INFO] [TRAIN] epoch: 332, iter: 123160/160000, loss: 0.0535, lr: 0.000014, batch_cost: 1.2383, reader_cost: 0.00022, ips: 1.6152 samples/sec | ETA 12:40:17 2021-08-23 08:30:39 [INFO] [TRAIN] epoch: 332, iter: 123170/160000, loss: 0.0428, lr: 0.000014, batch_cost: 1.2443, reader_cost: 0.00022, ips: 1.6074 samples/sec | ETA 12:43:46 2021-08-23 08:30:51 [INFO] [TRAIN] epoch: 332, iter: 123180/160000, loss: 0.0585, lr: 0.000014, batch_cost: 1.2288, reader_cost: 0.00023, ips: 1.6276 samples/sec | ETA 12:34:04 2021-08-23 08:31:03 [INFO] [TRAIN] epoch: 332, iter: 123190/160000, loss: 0.0428, lr: 0.000014, batch_cost: 1.2391, reader_cost: 0.00022, ips: 1.6141 samples/sec | ETA 12:40:10 2021-08-23 08:31:16 [INFO] [TRAIN] epoch: 332, iter: 123200/160000, loss: 0.0514, lr: 0.000014, batch_cost: 1.2349, reader_cost: 0.00022, ips: 1.6196 samples/sec | ETA 12:37:23 2021-08-23 08:31:28 [INFO] [TRAIN] epoch: 332, iter: 123210/160000, loss: 0.0429, lr: 0.000014, batch_cost: 1.2234, reader_cost: 0.00022, ips: 1.6348 samples/sec | ETA 12:30:09 2021-08-23 08:31:40 [INFO] [TRAIN] epoch: 332, iter: 123220/160000, loss: 0.0509, lr: 0.000014, batch_cost: 1.2341, reader_cost: 0.00024, ips: 1.6207 samples/sec | ETA 12:36:28 2021-08-23 08:31:52 [INFO] [TRAIN] epoch: 332, iter: 123230/160000, loss: 0.0532, lr: 0.000014, batch_cost: 1.2275, reader_cost: 0.00022, ips: 1.6293 samples/sec | ETA 12:32:15 2021-08-23 08:32:05 [INFO] [TRAIN] epoch: 332, iter: 123240/160000, loss: 0.0497, lr: 0.000014, batch_cost: 1.2221, reader_cost: 0.00021, ips: 1.6365 samples/sec | ETA 12:28:44 2021-08-23 08:32:17 [INFO] [TRAIN] epoch: 332, iter: 123250/160000, loss: 0.0525, lr: 0.000014, batch_cost: 1.2196, reader_cost: 0.00022, ips: 1.6398 samples/sec | ETA 12:27:01 2021-08-23 08:32:29 [INFO] [TRAIN] epoch: 332, iter: 123260/160000, loss: 0.0553, lr: 0.000014, batch_cost: 1.2149, reader_cost: 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loss: 0.0513, lr: 0.000014, batch_cost: 1.2145, reader_cost: 0.00022, ips: 1.6468 samples/sec | ETA 12:22:27 2021-08-23 08:33:55 [INFO] [TRAIN] epoch: 332, iter: 123330/160000, loss: 0.0442, lr: 0.000014, batch_cost: 1.2164, reader_cost: 0.00021, ips: 1.6442 samples/sec | ETA 12:23:24 2021-08-23 08:34:07 [INFO] [TRAIN] epoch: 332, iter: 123340/160000, loss: 0.0545, lr: 0.000014, batch_cost: 1.2237, reader_cost: 0.00021, ips: 1.6344 samples/sec | ETA 12:27:39 2021-08-23 08:34:19 [INFO] [TRAIN] epoch: 332, iter: 123350/160000, loss: 0.0524, lr: 0.000014, batch_cost: 1.2295, reader_cost: 0.00021, ips: 1.6267 samples/sec | ETA 12:31:00 2021-08-23 08:34:32 [INFO] [TRAIN] epoch: 332, iter: 123360/160000, loss: 0.0496, lr: 0.000014, batch_cost: 1.2371, reader_cost: 0.00021, ips: 1.6166 samples/sec | ETA 12:35:29 2021-08-23 08:34:44 [INFO] [TRAIN] epoch: 332, iter: 123370/160000, loss: 0.0472, lr: 0.000014, batch_cost: 1.2178, reader_cost: 0.00023, ips: 1.6423 samples/sec | ETA 12:23:28 2021-08-23 08:34:56 [INFO] [TRAIN] epoch: 332, iter: 123380/160000, loss: 0.0521, lr: 0.000014, batch_cost: 1.2317, reader_cost: 0.00022, ips: 1.6237 samples/sec | ETA 12:31:45 2021-08-23 08:35:08 [INFO] [TRAIN] epoch: 332, iter: 123390/160000, loss: 0.0557, lr: 0.000014, batch_cost: 1.2172, reader_cost: 0.00022, ips: 1.6431 samples/sec | ETA 12:22:41 2021-08-23 08:35:21 [INFO] [TRAIN] epoch: 332, iter: 123400/160000, loss: 0.0555, lr: 0.000014, batch_cost: 1.2263, reader_cost: 0.00023, ips: 1.6309 samples/sec | ETA 12:28:02 2021-08-23 08:35:33 [INFO] [TRAIN] epoch: 332, iter: 123410/160000, loss: 0.0641, lr: 0.000014, batch_cost: 1.2161, reader_cost: 0.00020, ips: 1.6447 samples/sec | ETA 12:21:35 2021-08-23 08:35:45 [INFO] [TRAIN] epoch: 332, iter: 123420/160000, loss: 0.0479, lr: 0.000014, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6321 samples/sec | ETA 12:27:06 2021-08-23 08:35:57 [INFO] [TRAIN] epoch: 332, iter: 123430/160000, loss: 0.0392, lr: 0.000014, batch_cost: 1.2245, reader_cost: 0.00022, ips: 1.6333 samples/sec | ETA 12:26:21 2021-08-23 08:36:10 [INFO] [TRAIN] epoch: 332, iter: 123440/160000, loss: 0.0572, lr: 0.000014, batch_cost: 1.2250, reader_cost: 0.00021, ips: 1.6326 samples/sec | ETA 12:26:27 2021-08-23 08:36:22 [INFO] [TRAIN] epoch: 332, iter: 123450/160000, loss: 0.0510, lr: 0.000014, batch_cost: 1.2348, reader_cost: 0.00023, ips: 1.6197 samples/sec | ETA 12:32:11 2021-08-23 08:36:34 [INFO] [TRAIN] epoch: 332, iter: 123460/160000, loss: 0.0441, lr: 0.000014, batch_cost: 1.2304, reader_cost: 0.00021, ips: 1.6255 samples/sec | ETA 12:29:18 2021-08-23 08:36:47 [INFO] [TRAIN] epoch: 332, iter: 123470/160000, loss: 0.0555, lr: 0.000014, batch_cost: 1.2326, reader_cost: 0.00020, ips: 1.6226 samples/sec | ETA 12:30:26 2021-08-23 08:36:59 [INFO] [TRAIN] epoch: 332, iter: 123480/160000, loss: 0.0427, lr: 0.000014, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6254 samples/sec | ETA 12:28:55 2021-08-23 08:37:11 [INFO] [TRAIN] epoch: 332, iter: 123490/160000, loss: 0.0611, lr: 0.000014, batch_cost: 1.2174, reader_cost: 0.00020, ips: 1.6428 samples/sec | ETA 12:20:48 2021-08-23 08:37:23 [INFO] [TRAIN] epoch: 332, iter: 123500/160000, loss: 0.0484, lr: 0.000014, batch_cost: 1.1846, reader_cost: 0.00016, ips: 1.6883 samples/sec | ETA 12:00:37 2021-08-23 08:37:38 [INFO] [TRAIN] epoch: 333, iter: 123510/160000, loss: 0.0545, lr: 0.000014, batch_cost: 1.4822, reader_cost: 0.20053, ips: 1.3493 samples/sec | ETA 15:01:26 2021-08-23 08:37:50 [INFO] [TRAIN] epoch: 333, iter: 123520/160000, loss: 0.0557, lr: 0.000014, batch_cost: 1.2703, reader_cost: 0.00099, ips: 1.5744 samples/sec | ETA 12:52:21 2021-08-23 08:38:03 [INFO] [TRAIN] epoch: 333, iter: 123530/160000, loss: 0.0465, lr: 0.000014, batch_cost: 1.2403, reader_cost: 0.00028, ips: 1.6125 samples/sec | ETA 12:33:53 2021-08-23 08:38:15 [INFO] [TRAIN] epoch: 333, iter: 123540/160000, loss: 0.0511, lr: 0.000014, batch_cost: 1.2389, reader_cost: 0.00027, ips: 1.6143 samples/sec | ETA 12:32:50 2021-08-23 08:38:28 [INFO] [TRAIN] epoch: 333, iter: 123550/160000, loss: 0.0618, lr: 0.000014, batch_cost: 1.2330, reader_cost: 0.00022, ips: 1.6221 samples/sec | ETA 12:29:01 2021-08-23 08:38:40 [INFO] [TRAIN] epoch: 333, iter: 123560/160000, loss: 0.0483, lr: 0.000014, batch_cost: 1.2187, reader_cost: 0.00022, ips: 1.6411 samples/sec | ETA 12:20:10 2021-08-23 08:38:52 [INFO] [TRAIN] epoch: 333, iter: 123570/160000, loss: 0.0621, lr: 0.000014, batch_cost: 1.2210, reader_cost: 0.00022, ips: 1.6380 samples/sec | ETA 12:21:22 2021-08-23 08:39:04 [INFO] [TRAIN] epoch: 333, iter: 123580/160000, loss: 0.0492, lr: 0.000014, batch_cost: 1.2381, reader_cost: 0.00021, ips: 1.6154 samples/sec | ETA 12:31:30 2021-08-23 08:39:17 [INFO] [TRAIN] epoch: 333, iter: 123590/160000, loss: 0.0560, lr: 0.000014, batch_cost: 1.2286, reader_cost: 0.00023, ips: 1.6279 samples/sec | ETA 12:25:32 2021-08-23 08:39:29 [INFO] [TRAIN] epoch: 333, iter: 123600/160000, loss: 0.0464, lr: 0.000014, batch_cost: 1.2360, reader_cost: 0.00022, ips: 1.6182 samples/sec | ETA 12:29:49 2021-08-23 08:39:41 [INFO] [TRAIN] epoch: 333, iter: 123610/160000, loss: 0.0490, lr: 0.000014, batch_cost: 1.2094, reader_cost: 0.00020, ips: 1.6537 samples/sec | ETA 12:13:29 2021-08-23 08:39:53 [INFO] [TRAIN] epoch: 333, iter: 123620/160000, loss: 0.0466, lr: 0.000014, batch_cost: 1.2124, reader_cost: 0.00022, ips: 1.6497 samples/sec | ETA 12:15:06 2021-08-23 08:40:05 [INFO] [TRAIN] epoch: 333, iter: 123630/160000, loss: 0.0454, lr: 0.000014, batch_cost: 1.2217, reader_cost: 0.00022, ips: 1.6370 samples/sec | ETA 12:20:34 2021-08-23 08:40:18 [INFO] [TRAIN] epoch: 333, iter: 123640/160000, loss: 0.0573, lr: 0.000014, batch_cost: 1.2143, reader_cost: 0.00021, ips: 1.6470 samples/sec | ETA 12:15:51 2021-08-23 08:40:30 [INFO] [TRAIN] epoch: 333, iter: 123650/160000, loss: 0.0500, lr: 0.000014, batch_cost: 1.2249, reader_cost: 0.00021, ips: 1.6327 samples/sec | ETA 12:22:06 2021-08-23 08:40:42 [INFO] [TRAIN] epoch: 333, iter: 123660/160000, loss: 0.0573, lr: 0.000014, batch_cost: 1.2231, reader_cost: 0.00022, ips: 1.6352 samples/sec | ETA 12:20:46 2021-08-23 08:40:54 [INFO] [TRAIN] epoch: 333, iter: 123670/160000, loss: 0.0580, lr: 0.000014, batch_cost: 1.2147, reader_cost: 0.00022, ips: 1.6465 samples/sec | ETA 12:15:30 2021-08-23 08:41:07 [INFO] [TRAIN] epoch: 333, iter: 123680/160000, loss: 0.0542, lr: 0.000014, batch_cost: 1.2284, reader_cost: 0.00021, ips: 1.6282 samples/sec | ETA 12:23:34 2021-08-23 08:41:19 [INFO] [TRAIN] epoch: 333, iter: 123690/160000, loss: 0.0579, lr: 0.000014, batch_cost: 1.2139, reader_cost: 0.00021, ips: 1.6475 samples/sec | ETA 12:14:38 2021-08-23 08:41:31 [INFO] [TRAIN] epoch: 333, iter: 123700/160000, loss: 0.0629, lr: 0.000014, batch_cost: 1.2317, reader_cost: 0.00021, ips: 1.6238 samples/sec | ETA 12:25:09 2021-08-23 08:41:43 [INFO] [TRAIN] epoch: 333, iter: 123710/160000, loss: 0.0446, lr: 0.000014, batch_cost: 1.2257, reader_cost: 0.00021, ips: 1.6318 samples/sec | ETA 12:21:18 2021-08-23 08:41:55 [INFO] [TRAIN] epoch: 333, iter: 123720/160000, loss: 0.0427, lr: 0.000014, batch_cost: 1.2187, reader_cost: 0.00020, ips: 1.6411 samples/sec | ETA 12:16:55 2021-08-23 08:42:08 [INFO] [TRAIN] epoch: 333, iter: 123730/160000, loss: 0.0415, lr: 0.000014, batch_cost: 1.2362, reader_cost: 0.00021, ips: 1.6178 samples/sec | ETA 12:27:17 2021-08-23 08:42:20 [INFO] [TRAIN] epoch: 333, iter: 123740/160000, loss: 0.0604, lr: 0.000014, batch_cost: 1.2323, reader_cost: 0.00022, ips: 1.6230 samples/sec | ETA 12:24:42 2021-08-23 08:42:32 [INFO] [TRAIN] epoch: 333, iter: 123750/160000, loss: 0.0508, lr: 0.000014, batch_cost: 1.2159, reader_cost: 0.00020, ips: 1.6449 samples/sec | ETA 12:14:35 2021-08-23 08:42:45 [INFO] [TRAIN] epoch: 333, iter: 123760/160000, loss: 0.0492, lr: 0.000014, batch_cost: 1.2247, reader_cost: 0.00020, ips: 1.6330 samples/sec | ETA 12:19:43 2021-08-23 08:42:57 [INFO] [TRAIN] epoch: 333, iter: 123770/160000, loss: 0.0614, lr: 0.000014, batch_cost: 1.2282, reader_cost: 0.00022, ips: 1.6284 samples/sec | ETA 12:21:38 2021-08-23 08:43:09 [INFO] [TRAIN] epoch: 333, iter: 123780/160000, loss: 0.0450, lr: 0.000014, batch_cost: 1.2343, reader_cost: 0.00024, ips: 1.6203 samples/sec | ETA 12:25:07 2021-08-23 08:43:21 [INFO] [TRAIN] epoch: 333, iter: 123790/160000, loss: 0.0597, lr: 0.000014, batch_cost: 1.2307, reader_cost: 0.00021, ips: 1.6251 samples/sec | ETA 12:22:42 2021-08-23 08:43:34 [INFO] [TRAIN] epoch: 333, iter: 123800/160000, loss: 0.0539, lr: 0.000014, batch_cost: 1.2277, reader_cost: 0.00022, ips: 1.6291 samples/sec | ETA 12:20:41 2021-08-23 08:43:46 [INFO] [TRAIN] epoch: 333, iter: 123810/160000, loss: 0.0628, lr: 0.000014, batch_cost: 1.2221, reader_cost: 0.00022, ips: 1.6365 samples/sec | ETA 12:17:07 2021-08-23 08:43:58 [INFO] [TRAIN] epoch: 333, iter: 123820/160000, loss: 0.0440, lr: 0.000014, batch_cost: 1.2261, reader_cost: 0.00021, ips: 1.6313 samples/sec | ETA 12:19:18 2021-08-23 08:44:10 [INFO] [TRAIN] epoch: 333, iter: 123830/160000, loss: 0.0527, lr: 0.000014, batch_cost: 1.2132, reader_cost: 0.00022, ips: 1.6485 samples/sec | ETA 12:11:21 2021-08-23 08:44:23 [INFO] [TRAIN] epoch: 333, iter: 123840/160000, loss: 0.0495, lr: 0.000014, batch_cost: 1.2190, reader_cost: 0.00023, ips: 1.6407 samples/sec | ETA 12:14:37 2021-08-23 08:44:35 [INFO] [TRAIN] epoch: 333, iter: 123850/160000, loss: 0.0552, lr: 0.000014, batch_cost: 1.2366, reader_cost: 0.00022, ips: 1.6173 samples/sec | ETA 12:25:04 2021-08-23 08:44:47 [INFO] [TRAIN] epoch: 333, iter: 123860/160000, loss: 0.0575, lr: 0.000014, batch_cost: 1.2350, reader_cost: 0.00021, ips: 1.6194 samples/sec | ETA 12:23:54 2021-08-23 08:44:59 [INFO] [TRAIN] epoch: 333, iter: 123870/160000, loss: 0.0488, lr: 0.000014, batch_cost: 1.2036, reader_cost: 0.00016, ips: 1.6617 samples/sec | ETA 12:04:45 2021-08-23 08:45:14 [INFO] [TRAIN] epoch: 334, iter: 123880/160000, loss: 0.0438, lr: 0.000014, batch_cost: 1.4696, reader_cost: 0.19024, ips: 1.3609 samples/sec | ETA 14:44:42 2021-08-23 08:45:26 [INFO] [TRAIN] epoch: 334, iter: 123890/160000, loss: 0.0568, lr: 0.000014, batch_cost: 1.2301, reader_cost: 0.00079, ips: 1.6259 samples/sec | ETA 12:20:17 2021-08-23 08:45:39 [INFO] [TRAIN] epoch: 334, iter: 123900/160000, loss: 0.0553, lr: 0.000014, batch_cost: 1.2255, reader_cost: 0.00020, ips: 1.6320 samples/sec | ETA 12:17:20 2021-08-23 08:45:51 [INFO] [TRAIN] epoch: 334, iter: 123910/160000, loss: 0.0522, lr: 0.000014, batch_cost: 1.2228, reader_cost: 0.00021, ips: 1.6356 samples/sec | ETA 12:15:29 2021-08-23 08:46:03 [INFO] [TRAIN] epoch: 334, iter: 123920/160000, loss: 0.0516, lr: 0.000014, batch_cost: 1.2311, reader_cost: 0.00022, ips: 1.6246 samples/sec | ETA 12:20:17 2021-08-23 08:46:15 [INFO] [TRAIN] epoch: 334, iter: 123930/160000, loss: 0.0426, lr: 0.000014, batch_cost: 1.2221, reader_cost: 0.00022, ips: 1.6365 samples/sec | ETA 12:14:41 2021-08-23 08:46:28 [INFO] [TRAIN] epoch: 334, iter: 123940/160000, loss: 0.0504, lr: 0.000014, batch_cost: 1.2378, reader_cost: 0.00021, ips: 1.6158 samples/sec | ETA 12:23:54 2021-08-23 08:46:40 [INFO] [TRAIN] epoch: 334, iter: 123950/160000, loss: 0.0536, lr: 0.000014, batch_cost: 1.2200, reader_cost: 0.00021, ips: 1.6393 samples/sec | ETA 12:13:01 2021-08-23 08:46:52 [INFO] [TRAIN] epoch: 334, iter: 123960/160000, loss: 0.0565, lr: 0.000014, batch_cost: 1.2366, reader_cost: 0.00021, ips: 1.6173 samples/sec | ETA 12:22:47 2021-08-23 08:47:05 [INFO] [TRAIN] epoch: 334, iter: 123970/160000, loss: 0.0448, lr: 0.000014, batch_cost: 1.2358, reader_cost: 0.00022, ips: 1.6183 samples/sec | ETA 12:22:07 2021-08-23 08:47:17 [INFO] [TRAIN] epoch: 334, iter: 123980/160000, loss: 0.0432, lr: 0.000014, batch_cost: 1.2472, reader_cost: 0.00022, ips: 1.6036 samples/sec | ETA 12:28:43 2021-08-23 08:47:29 [INFO] [TRAIN] epoch: 334, iter: 123990/160000, loss: 0.0483, lr: 0.000014, batch_cost: 1.2128, reader_cost: 0.00021, ips: 1.6490 samples/sec | ETA 12:07:54 2021-08-23 08:47:42 [INFO] [TRAIN] epoch: 334, iter: 124000/160000, loss: 0.0490, lr: 0.000014, batch_cost: 1.2313, reader_cost: 0.00021, ips: 1.6242 samples/sec | ETA 12:18:48 2021-08-23 08:47:42 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:43 - batch_cost: 3.7407 - reader cost: 0.4768 2/125 [..............................] - ETA: 5:58 - batch_cost: 2.9122 - reader cost: 0.2385 3/125 [..............................] - ETA: 5:26 - batch_cost: 2.6734 - reader cost: 0.1591 4/125 [..............................] - ETA: 5:04 - batch_cost: 2.5132 - reader cost: 0.1193 5/125 [>.............................] - ETA: 4:50 - batch_cost: 2.4228 - reader cost: 0.0955 6/125 [>.............................] - ETA: 4:41 - batch_cost: 2.3638 - reader cost: 0.0796 7/125 [>.............................] - ETA: 4:34 - batch_cost: 2.3268 - reader cost: 0.0683 8/125 [>.............................] - ETA: 4:29 - batch_cost: 2.3070 - reader cost: 0.0598 9/125 [=>............................] - ETA: 4:25 - batch_cost: 2.2847 - reader cost: 0.0532 10/125 [=>............................] - ETA: 4:20 - batch_cost: 2.2640 - reader cost: 0.0479 11/125 [=>............................] - ETA: 4:16 - batch_cost: 2.2527 - reader cost: 0.0435 12/125 [=>............................] - ETA: 4:13 - batch_cost: 2.2395 - reader cost: 0.0399 13/125 [==>...........................] - ETA: 4:09 - batch_cost: 2.2286 - reader cost: 0.0369 14/125 [==>...........................] - ETA: 4:06 - batch_cost: 2.2182 - reader cost: 0.0342 15/125 [==>...........................] - ETA: 4:03 - batch_cost: 2.2130 - reader cost: 0.0320 16/125 [==>...........................] - ETA: 4:00 - batch_cost: 2.2029 - reader cost: 0.0300 17/125 [===>..........................] - ETA: 3:57 - batch_cost: 2.1981 - reader cost: 0.0282 18/125 [===>..........................] - ETA: 3:54 - batch_cost: 2.1918 - reader cost: 0.0267 19/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.1850 - reader cost: 0.0253 20/125 [===>..........................] - ETA: 3:48 - batch_cost: 2.1803 - reader cost: 0.0240 21/125 [====>.........................] - ETA: 3:46 - batch_cost: 2.1753 - reader cost: 0.0229 22/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.1699 - reader cost: 0.0219 23/125 [====>.........................] - ETA: 3:40 - batch_cost: 2.1655 - reader cost: 0.0209 24/125 [====>.........................] - ETA: 3:38 - batch_cost: 2.1621 - reader cost: 0.0201 25/125 [=====>........................] - ETA: 3:36 - batch_cost: 2.1599 - reader cost: 0.0193 26/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1562 - reader cost: 0.0185 27/125 [=====>........................] - ETA: 3:31 - batch_cost: 2.1548 - reader cost: 0.0178 28/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1531 - reader cost: 0.0172 29/125 [=====>........................] - ETA: 3:26 - batch_cost: 2.1515 - reader cost: 0.0166 30/125 [======>.......................] - ETA: 3:24 - batch_cost: 2.1496 - reader cost: 0.0161 31/125 [======>.......................] - ETA: 3:22 - batch_cost: 2.1496 - reader cost: 0.0156 32/125 [======>.......................] - ETA: 3:19 - batch_cost: 2.1481 - reader cost: 0.0151 33/125 [======>.......................] - ETA: 3:17 - batch_cost: 2.1459 - reader cost: 0.0146 34/125 [=======>......................] - ETA: 3:15 - batch_cost: 2.1454 - reader cost: 0.0142 35/125 [=======>......................] - ETA: 3:12 - batch_cost: 2.1435 - reader cost: 0.0138 36/125 [=======>......................] - ETA: 3:10 - batch_cost: 2.1437 - reader cost: 0.0134 37/125 [=======>......................] - ETA: 3:08 - batch_cost: 2.1421 - reader cost: 0.0131 38/125 [========>.....................] - ETA: 3:06 - batch_cost: 2.1409 - reader cost: 0.0127 39/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1411 - reader cost: 0.0124 40/125 [========>.....................] - ETA: 3:01 - batch_cost: 2.1387 - reader cost: 0.0121 41/125 [========>.....................] - ETA: 2:59 - batch_cost: 2.1384 - reader cost: 0.0118 42/125 [=========>....................] - ETA: 2:57 - batch_cost: 2.1367 - reader cost: 0.0115 43/125 [=========>....................] - ETA: 2:55 - batch_cost: 2.1362 - reader cost: 0.0113 44/125 [=========>....................] - ETA: 2:52 - batch_cost: 2.1352 - reader cost: 0.0110 45/125 [=========>....................] - ETA: 2:50 - batch_cost: 2.1345 - reader cost: 0.0108 46/125 [==========>...................] - ETA: 2:48 - batch_cost: 2.1336 - reader cost: 0.0106 47/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1336 - reader cost: 0.0103 48/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1326 - reader cost: 0.0101 49/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1319 - reader cost: 0.0099 50/125 [===========>..................] - ETA: 2:39 - batch_cost: 2.1307 - reader cost: 0.0097 51/125 [===========>..................] - ETA: 2:37 - batch_cost: 2.1299 - reader cost: 0.0095 52/125 [===========>..................] - ETA: 2:35 - batch_cost: 2.1290 - reader cost: 0.0094 53/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.1284 - reader cost: 0.0092 54/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.1275 - reader cost: 0.0090 55/125 [============>.................] - ETA: 2:28 - batch_cost: 2.1267 - reader cost: 0.0089 56/125 [============>.................] - ETA: 2:26 - batch_cost: 2.1264 - reader cost: 0.0087 57/125 [============>.................] - ETA: 2:24 - batch_cost: 2.1251 - reader cost: 0.0086 58/125 [============>.................] - ETA: 2:22 - batch_cost: 2.1238 - reader cost: 0.0084 59/125 [=============>................] - ETA: 2:20 - batch_cost: 2.1229 - reader cost: 0.0083 60/125 [=============>................] - ETA: 2:17 - batch_cost: 2.1216 - reader cost: 0.0081 61/125 [=============>................] - ETA: 2:15 - batch_cost: 2.1212 - reader cost: 0.0080 62/125 [=============>................] - ETA: 2:13 - batch_cost: 2.1197 - reader cost: 0.0079 63/125 [==============>...............] - ETA: 2:11 - batch_cost: 2.1196 - reader cost: 0.0078 64/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.1189 - reader cost: 0.0076 65/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.1183 - reader cost: 0.0075 66/125 [==============>...............] - ETA: 2:04 - batch_cost: 2.1177 - reader cost: 0.0074 67/125 [===============>..............] - ETA: 2:02 - batch_cost: 2.1163 - reader cost: 0.0073 68/125 [===============>..............] - ETA: 2:00 - batch_cost: 2.1155 - reader cost: 0.0072 69/125 [===============>..............] - ETA: 1:58 - batch_cost: 2.1150 - reader cost: 0.0071 70/125 [===============>..............] - ETA: 1:56 - batch_cost: 2.1142 - reader cost: 0.0070 71/125 [================>.............] - ETA: 1:54 - batch_cost: 2.1130 - reader cost: 0.0069 72/125 [================>.............] - ETA: 1:51 - batch_cost: 2.1118 - reader cost: 0.0068 73/125 [================>.............] - ETA: 1:49 - batch_cost: 2.1111 - reader cost: 0.0067 74/125 [================>.............] - ETA: 1:47 - batch_cost: 2.1104 - reader cost: 0.0066 75/125 [=================>............] - ETA: 1:45 - batch_cost: 2.1094 - reader cost: 0.0065 76/125 [=================>............] - ETA: 1:43 - batch_cost: 2.1094 - reader cost: 0.0065 77/125 [=================>............] - ETA: 1:41 - batch_cost: 2.1079 - reader cost: 0.0064 78/125 [=================>............] - ETA: 1:39 - batch_cost: 2.1074 - reader cost: 0.0063 79/125 [=================>............] - ETA: 1:36 - batch_cost: 2.1071 - reader cost: 0.0062 80/125 [==================>...........] - ETA: 1:34 - batch_cost: 2.1065 - reader cost: 0.0062 81/125 [==================>...........] - ETA: 1:32 - batch_cost: 2.1069 - reader cost: 0.0061 82/125 [==================>...........] - ETA: 1:30 - batch_cost: 2.1055 - reader cost: 0.0060 83/125 [==================>...........] - ETA: 1:28 - batch_cost: 2.1049 - reader cost: 0.0059 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1054 - reader cost: 0.0059 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1051 - reader cost: 0.0058 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1052 - reader cost: 0.0057 87/125 [===================>..........] - ETA: 1:19 - batch_cost: 2.1044 - reader cost: 0.0057 88/125 [====================>.........] - ETA: 1:17 - batch_cost: 2.1042 - reader cost: 0.0056 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.1034 - reader cost: 0.0055 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.1027 - reader cost: 0.0055 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.1031 - reader cost: 0.0054 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1025 - reader cost: 0.0054 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1019 - reader cost: 0.0053 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1015 - reader cost: 0.0053 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1014 - reader cost: 0.0052 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.1007 - reader cost: 0.0052 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.0999 - reader cost: 0.0051  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.0990 - reader cost: 0.0051 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.0981 - reader cost: 0.0050 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.0979 - reader cost: 0.0050 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.0975 - reader cost: 0.0049 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.0975 - reader cost: 0.0049 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.0972 - reader cost: 0.0048 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.0967 - reader cost: 0.0048 105/125 [========================>.....] - ETA: 41s - batch_cost: 2.0963 - reader cost: 0.0047 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.0958 - reader cost: 0.0047 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.0954 - reader cost: 0.0046 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.0949 - reader cost: 0.0046 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.0951 - reader cost: 0.0046 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.0949 - reader cost: 0.0045 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.0944 - reader cost: 0.0045 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.0939 - reader cost: 0.0044 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.0931 - reader cost: 0.0044 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.0934 - reader cost: 0.0044 115/125 [==========================>...] - ETA: 20s - batch_cost: 2.0932 - reader cost: 0.0043 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.0931 - reader cost: 0.0043 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.0931 - reader cost: 0.0043 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.0933 - reader cost: 0.0042 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0930 - reader cost: 0.0042 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0929 - reader cost: 0.0042 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0930 - reader cost: 0.0041  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0929 - reader cost: 0.0041 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0930 - reader cost: 0.0041 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0925 - reader cost: 0.0040 125/125 [==============================] - 262s 2s/step - batch_cost: 2.0921 - reader cost: 0.0040 2021-08-23 08:52:03 [INFO] [EVAL] #Images: 500 mIoU: 0.8229 Acc: 0.9673 Kappa: 0.9575 2021-08-23 08:52:03 [INFO] [EVAL] Class IoU: [0.9838 0.8687 0.9385 0.6921 0.6703 0.6998 0.7565 0.8207 0.9327 0.6611 0.9565 0.851 0.6842 0.9587 0.8546 0.9146 0.8632 0.7241 0.8035] 2021-08-23 08:52:03 [INFO] [EVAL] Class Acc: [0.9925 0.9248 0.963 0.8773 0.8671 0.848 0.8721 0.9156 0.9635 0.8367 0.9707 0.9122 0.8254 0.9757 0.9646 0.9547 0.9527 0.8614 0.882 ] 2021-08-23 08:52:06 [INFO] [EVAL] The model with the best validation mIoU (0.8245) was saved at iter 116000. 2021-08-23 08:52:18 [INFO] [TRAIN] epoch: 334, iter: 124010/160000, loss: 0.0522, lr: 0.000013, batch_cost: 1.2204, reader_cost: 0.00081, ips: 1.6387 samples/sec | ETA 12:12:03 2021-08-23 08:52:30 [INFO] [TRAIN] epoch: 334, iter: 124020/160000, loss: 0.0448, lr: 0.000013, batch_cost: 1.2097, reader_cost: 0.00022, ips: 1.6532 samples/sec | ETA 12:05:26 2021-08-23 08:52:42 [INFO] [TRAIN] epoch: 334, iter: 124030/160000, loss: 0.0526, lr: 0.000013, batch_cost: 1.2298, reader_cost: 0.00022, ips: 1.6263 samples/sec | ETA 12:17:15 2021-08-23 08:52:55 [INFO] [TRAIN] epoch: 334, iter: 124040/160000, loss: 0.0506, lr: 0.000013, batch_cost: 1.2365, reader_cost: 0.00023, ips: 1.6175 samples/sec | ETA 12:21:03 2021-08-23 08:53:07 [INFO] [TRAIN] epoch: 334, iter: 124050/160000, loss: 0.0578, lr: 0.000013, batch_cost: 1.2249, reader_cost: 0.00020, ips: 1.6327 samples/sec | ETA 12:13:56 2021-08-23 08:53:19 [INFO] [TRAIN] epoch: 334, iter: 124060/160000, loss: 0.0487, lr: 0.000013, batch_cost: 1.2184, reader_cost: 0.00022, ips: 1.6415 samples/sec | ETA 12:09:48 2021-08-23 08:53:32 [INFO] [TRAIN] epoch: 334, iter: 124070/160000, loss: 0.0583, lr: 0.000013, batch_cost: 1.2669, reader_cost: 0.00023, ips: 1.5787 samples/sec | ETA 12:38:39 2021-08-23 08:53:44 [INFO] [TRAIN] epoch: 334, iter: 124080/160000, loss: 0.0492, lr: 0.000013, batch_cost: 1.2091, reader_cost: 0.00021, ips: 1.6541 samples/sec | ETA 12:03:52 2021-08-23 08:53:56 [INFO] [TRAIN] epoch: 334, iter: 124090/160000, loss: 0.0492, lr: 0.000013, batch_cost: 1.2108, reader_cost: 0.00019, ips: 1.6518 samples/sec | ETA 12:04:40 2021-08-23 08:54:08 [INFO] [TRAIN] epoch: 334, iter: 124100/160000, loss: 0.0513, lr: 0.000013, batch_cost: 1.1995, reader_cost: 0.00019, ips: 1.6674 samples/sec | ETA 11:57:40 2021-08-23 08:54:20 [INFO] [TRAIN] epoch: 334, iter: 124110/160000, loss: 0.0496, lr: 0.000013, batch_cost: 1.2130, reader_cost: 0.00019, ips: 1.6488 samples/sec | ETA 12:05:35 2021-08-23 08:54:32 [INFO] [TRAIN] epoch: 334, iter: 124120/160000, loss: 0.0552, lr: 0.000013, batch_cost: 1.2162, reader_cost: 0.00020, ips: 1.6445 samples/sec | ETA 12:07:16 2021-08-23 08:54:45 [INFO] [TRAIN] epoch: 334, iter: 124130/160000, loss: 0.0547, lr: 0.000013, batch_cost: 1.2171, reader_cost: 0.00021, ips: 1.6432 samples/sec | ETA 12:07:37 2021-08-23 08:54:57 [INFO] [TRAIN] epoch: 334, iter: 124140/160000, loss: 0.0564, lr: 0.000013, batch_cost: 1.2140, reader_cost: 0.00021, ips: 1.6474 samples/sec | ETA 12:05:35 2021-08-23 08:55:09 [INFO] [TRAIN] epoch: 334, iter: 124150/160000, loss: 0.0543, lr: 0.000013, batch_cost: 1.2186, reader_cost: 0.00021, ips: 1.6412 samples/sec | ETA 12:08:06 2021-08-23 08:55:21 [INFO] [TRAIN] epoch: 334, iter: 124160/160000, loss: 0.0498, lr: 0.000013, batch_cost: 1.2203, reader_cost: 0.00020, ips: 1.6389 samples/sec | ETA 12:08:55 2021-08-23 08:55:33 [INFO] [TRAIN] epoch: 334, iter: 124170/160000, loss: 0.0560, lr: 0.000013, batch_cost: 1.2245, reader_cost: 0.00021, ips: 1.6333 samples/sec | ETA 12:11:14 2021-08-23 08:55:46 [INFO] [TRAIN] epoch: 334, iter: 124180/160000, loss: 0.0517, lr: 0.000013, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 12:09:12 2021-08-23 08:55:58 [INFO] [TRAIN] epoch: 334, iter: 124190/160000, loss: 0.0532, lr: 0.000013, batch_cost: 1.2442, reader_cost: 0.00027, ips: 1.6074 samples/sec | ETA 12:22:36 2021-08-23 08:56:10 [INFO] [TRAIN] epoch: 334, iter: 124200/160000, loss: 0.0497, lr: 0.000013, batch_cost: 1.2381, reader_cost: 0.00025, ips: 1.6154 samples/sec | ETA 12:18:42 2021-08-23 08:56:23 [INFO] [TRAIN] epoch: 334, iter: 124210/160000, loss: 0.0496, lr: 0.000013, batch_cost: 1.2417, reader_cost: 0.00025, ips: 1.6107 samples/sec | ETA 12:20:39 2021-08-23 08:56:35 [INFO] [TRAIN] epoch: 334, iter: 124220/160000, loss: 0.0443, lr: 0.000013, batch_cost: 1.2432, reader_cost: 0.00025, ips: 1.6087 samples/sec | ETA 12:21:22 2021-08-23 08:56:47 [INFO] [TRAIN] epoch: 334, iter: 124230/160000, loss: 0.0400, lr: 0.000013, batch_cost: 1.2291, reader_cost: 0.00025, ips: 1.6273 samples/sec | ETA 12:12:43 2021-08-23 08:57:00 [INFO] [TRAIN] epoch: 334, iter: 124240/160000, loss: 0.0564, lr: 0.000013, batch_cost: 1.2286, reader_cost: 0.00025, ips: 1.6278 samples/sec | ETA 12:12:16 2021-08-23 08:57:15 [INFO] [TRAIN] epoch: 335, iter: 124250/160000, loss: 0.0502, lr: 0.000013, batch_cost: 1.5092, reader_cost: 0.26390, ips: 1.3252 samples/sec | ETA 14:59:13 2021-08-23 08:57:27 [INFO] [TRAIN] epoch: 335, iter: 124260/160000, loss: 0.0400, lr: 0.000013, batch_cost: 1.2346, reader_cost: 0.00077, ips: 1.6200 samples/sec | ETA 12:15:24 2021-08-23 08:57:40 [INFO] [TRAIN] epoch: 335, iter: 124270/160000, loss: 0.0509, lr: 0.000013, batch_cost: 1.2502, reader_cost: 0.00024, ips: 1.5998 samples/sec | ETA 12:24:27 2021-08-23 08:57:52 [INFO] [TRAIN] epoch: 335, iter: 124280/160000, loss: 0.0552, lr: 0.000013, batch_cost: 1.2356, reader_cost: 0.00022, ips: 1.6186 samples/sec | ETA 12:15:36 2021-08-23 08:58:04 [INFO] [TRAIN] epoch: 335, iter: 124290/160000, loss: 0.0531, lr: 0.000013, batch_cost: 1.2315, reader_cost: 0.00023, ips: 1.6241 samples/sec | ETA 12:12:56 2021-08-23 08:58:17 [INFO] [TRAIN] epoch: 335, iter: 124300/160000, loss: 0.0375, lr: 0.000013, batch_cost: 1.2321, reader_cost: 0.00022, ips: 1.6232 samples/sec | ETA 12:13:06 2021-08-23 08:58:29 [INFO] [TRAIN] epoch: 335, iter: 124310/160000, loss: 0.0464, lr: 0.000013, batch_cost: 1.2072, reader_cost: 0.00021, ips: 1.6567 samples/sec | ETA 11:58:05 2021-08-23 08:58:41 [INFO] [TRAIN] epoch: 335, iter: 124320/160000, loss: 0.0443, lr: 0.000013, batch_cost: 1.2225, reader_cost: 0.00020, ips: 1.6360 samples/sec | ETA 12:06:59 2021-08-23 08:58:53 [INFO] [TRAIN] epoch: 335, iter: 124330/160000, loss: 0.0528, lr: 0.000013, batch_cost: 1.2217, reader_cost: 0.00022, ips: 1.6371 samples/sec | ETA 12:06:18 2021-08-23 08:59:05 [INFO] [TRAIN] epoch: 335, iter: 124340/160000, loss: 0.0523, lr: 0.000013, batch_cost: 1.2100, reader_cost: 0.00021, ips: 1.6530 samples/sec | ETA 11:59:07 2021-08-23 08:59:18 [INFO] [TRAIN] epoch: 335, iter: 124350/160000, loss: 0.0513, lr: 0.000013, batch_cost: 1.2320, reader_cost: 0.00023, ips: 1.6234 samples/sec | ETA 12:12:01 2021-08-23 08:59:30 [INFO] [TRAIN] epoch: 335, iter: 124360/160000, loss: 0.0482, lr: 0.000013, batch_cost: 1.2179, reader_cost: 0.00023, ips: 1.6422 samples/sec | ETA 12:03:25 2021-08-23 08:59:42 [INFO] [TRAIN] epoch: 335, iter: 124370/160000, loss: 0.0482, lr: 0.000013, batch_cost: 1.2287, reader_cost: 0.00023, ips: 1.6277 samples/sec | ETA 12:09:39 2021-08-23 08:59:55 [INFO] [TRAIN] epoch: 335, iter: 124380/160000, loss: 0.0539, lr: 0.000013, batch_cost: 1.2390, reader_cost: 0.00024, ips: 1.6141 samples/sec | ETA 12:15:34 2021-08-23 09:00:07 [INFO] [TRAIN] epoch: 335, iter: 124390/160000, loss: 0.0564, lr: 0.000013, batch_cost: 1.2441, reader_cost: 0.00023, ips: 1.6075 samples/sec | ETA 12:18:23 2021-08-23 09:00:19 [INFO] [TRAIN] epoch: 335, iter: 124400/160000, loss: 0.0510, lr: 0.000013, batch_cost: 1.2390, reader_cost: 0.00022, ips: 1.6142 samples/sec | ETA 12:15:09 2021-08-23 09:00:32 [INFO] [TRAIN] epoch: 335, iter: 124410/160000, loss: 0.0581, lr: 0.000013, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6377 samples/sec | ETA 12:04:23 2021-08-23 09:00:44 [INFO] [TRAIN] epoch: 335, iter: 124420/160000, loss: 0.0457, lr: 0.000013, batch_cost: 1.2205, reader_cost: 0.00022, ips: 1.6387 samples/sec | ETA 12:03:44 2021-08-23 09:00:56 [INFO] [TRAIN] epoch: 335, iter: 124430/160000, loss: 0.0449, lr: 0.000013, batch_cost: 1.2221, reader_cost: 0.00021, ips: 1.6365 samples/sec | ETA 12:04:30 2021-08-23 09:01:08 [INFO] [TRAIN] epoch: 335, iter: 124440/160000, loss: 0.0551, lr: 0.000013, batch_cost: 1.2198, reader_cost: 0.00022, ips: 1.6396 samples/sec | ETA 12:02:57 2021-08-23 09:01:20 [INFO] [TRAIN] epoch: 335, iter: 124450/160000, loss: 0.0524, lr: 0.000013, batch_cost: 1.2199, reader_cost: 0.00024, ips: 1.6394 samples/sec | ETA 12:02:48 2021-08-23 09:01:33 [INFO] [TRAIN] epoch: 335, iter: 124460/160000, loss: 0.0532, lr: 0.000013, batch_cost: 1.2320, reader_cost: 0.00022, ips: 1.6233 samples/sec | ETA 12:09:46 2021-08-23 09:01:45 [INFO] [TRAIN] epoch: 335, iter: 124470/160000, loss: 0.0441, lr: 0.000013, batch_cost: 1.2342, reader_cost: 0.00023, ips: 1.6205 samples/sec | ETA 12:10:49 2021-08-23 09:01:57 [INFO] [TRAIN] epoch: 335, iter: 124480/160000, loss: 0.0446, lr: 0.000013, batch_cost: 1.2307, reader_cost: 0.00022, ips: 1.6251 samples/sec | ETA 12:08:34 2021-08-23 09:02:10 [INFO] [TRAIN] epoch: 335, iter: 124490/160000, loss: 0.0519, lr: 0.000013, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 12:04:31 2021-08-23 09:02:22 [INFO] [TRAIN] epoch: 335, iter: 124500/160000, loss: 0.0500, lr: 0.000013, batch_cost: 1.2426, reader_cost: 0.00024, ips: 1.6095 samples/sec | ETA 12:15:14 2021-08-23 09:02:34 [INFO] [TRAIN] epoch: 335, iter: 124510/160000, loss: 0.0477, lr: 0.000013, batch_cost: 1.2276, reader_cost: 0.00022, ips: 1.6292 samples/sec | ETA 12:06:07 2021-08-23 09:02:47 [INFO] [TRAIN] epoch: 335, iter: 124520/160000, loss: 0.0616, lr: 0.000013, batch_cost: 1.2401, reader_cost: 0.00022, ips: 1.6127 samples/sec | ETA 12:13:20 2021-08-23 09:02:59 [INFO] [TRAIN] epoch: 335, iter: 124530/160000, loss: 0.0505, lr: 0.000013, batch_cost: 1.2218, reader_cost: 0.00022, ips: 1.6369 samples/sec | ETA 12:02:17 2021-08-23 09:03:11 [INFO] [TRAIN] epoch: 335, iter: 124540/160000, loss: 0.0529, lr: 0.000013, batch_cost: 1.2272, reader_cost: 0.00022, ips: 1.6297 samples/sec | ETA 12:05:17 2021-08-23 09:03:24 [INFO] [TRAIN] epoch: 335, iter: 124550/160000, loss: 0.0502, lr: 0.000013, batch_cost: 1.2332, reader_cost: 0.00023, ips: 1.6218 samples/sec | ETA 12:08:37 2021-08-23 09:03:36 [INFO] [TRAIN] epoch: 335, iter: 124560/160000, loss: 0.0558, lr: 0.000013, batch_cost: 1.2228, reader_cost: 0.00024, ips: 1.6356 samples/sec | ETA 12:02:15 2021-08-23 09:03:48 [INFO] [TRAIN] epoch: 335, iter: 124570/160000, loss: 0.0448, lr: 0.000013, batch_cost: 1.2218, reader_cost: 0.00023, ips: 1.6369 samples/sec | ETA 12:01:29 2021-08-23 09:04:00 [INFO] [TRAIN] epoch: 335, iter: 124580/160000, loss: 0.0488, lr: 0.000013, batch_cost: 1.2170, reader_cost: 0.00022, ips: 1.6433 samples/sec | ETA 11:58:27 2021-08-23 09:04:12 [INFO] [TRAIN] epoch: 335, iter: 124590/160000, loss: 0.0440, lr: 0.000013, batch_cost: 1.2163, reader_cost: 0.00023, ips: 1.6443 samples/sec | ETA 11:57:50 2021-08-23 09:04:24 [INFO] [TRAIN] epoch: 335, iter: 124600/160000, loss: 0.0442, lr: 0.000013, batch_cost: 1.2184, reader_cost: 0.00023, ips: 1.6415 samples/sec | ETA 11:58:50 2021-08-23 09:04:37 [INFO] [TRAIN] epoch: 335, iter: 124610/160000, loss: 0.0494, lr: 0.000013, batch_cost: 1.2116, reader_cost: 0.00020, ips: 1.6507 samples/sec | ETA 11:54:38 2021-08-23 09:04:48 [INFO] [TRAIN] epoch: 335, iter: 124620/160000, loss: 0.0466, lr: 0.000013, batch_cost: 1.1837, reader_cost: 0.00015, ips: 1.6896 samples/sec | ETA 11:37:59 2021-08-23 09:05:04 [INFO] [TRAIN] epoch: 336, iter: 124630/160000, loss: 0.0619, lr: 0.000013, batch_cost: 1.5324, reader_cost: 0.24466, ips: 1.3051 samples/sec | ETA 15:03:20 2021-08-23 09:05:16 [INFO] [TRAIN] epoch: 336, iter: 124640/160000, loss: 0.0457, lr: 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[INFO] [TRAIN] epoch: 336, iter: 124700/160000, loss: 0.0683, lr: 0.000013, batch_cost: 1.2326, reader_cost: 0.00024, ips: 1.6226 samples/sec | ETA 12:05:09 2021-08-23 09:06:42 [INFO] [TRAIN] epoch: 336, iter: 124710/160000, loss: 0.0558, lr: 0.000013, batch_cost: 1.2302, reader_cost: 0.00024, ips: 1.6257 samples/sec | ETA 12:03:34 2021-08-23 09:06:54 [INFO] [TRAIN] epoch: 336, iter: 124720/160000, loss: 0.0482, lr: 0.000013, batch_cost: 1.2210, reader_cost: 0.00024, ips: 1.6380 samples/sec | ETA 11:57:56 2021-08-23 09:07:06 [INFO] [TRAIN] epoch: 336, iter: 124730/160000, loss: 0.0525, lr: 0.000013, batch_cost: 1.2353, reader_cost: 0.00024, ips: 1.6191 samples/sec | ETA 12:06:08 2021-08-23 09:07:19 [INFO] [TRAIN] epoch: 336, iter: 124740/160000, loss: 0.0629, lr: 0.000013, batch_cost: 1.2394, reader_cost: 0.00023, ips: 1.6136 samples/sec | ETA 12:08:22 2021-08-23 09:07:31 [INFO] [TRAIN] epoch: 336, iter: 124750/160000, loss: 0.0543, lr: 0.000013, batch_cost: 1.2236, reader_cost: 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loss: 0.0508, lr: 0.000013, batch_cost: 1.2351, reader_cost: 0.00023, ips: 1.6194 samples/sec | ETA 12:04:21 2021-08-23 09:08:57 [INFO] [TRAIN] epoch: 336, iter: 124820/160000, loss: 0.0512, lr: 0.000013, batch_cost: 1.2229, reader_cost: 0.00024, ips: 1.6354 samples/sec | ETA 11:57:02 2021-08-23 09:09:09 [INFO] [TRAIN] epoch: 336, iter: 124830/160000, loss: 0.0458, lr: 0.000013, batch_cost: 1.2282, reader_cost: 0.00022, ips: 1.6283 samples/sec | ETA 11:59:57 2021-08-23 09:09:22 [INFO] [TRAIN] epoch: 336, iter: 124840/160000, loss: 0.0589, lr: 0.000013, batch_cost: 1.2440, reader_cost: 0.00023, ips: 1.6078 samples/sec | ETA 12:08:57 2021-08-23 09:09:34 [INFO] [TRAIN] epoch: 336, iter: 124850/160000, loss: 0.0443, lr: 0.000013, batch_cost: 1.2301, reader_cost: 0.00022, ips: 1.6259 samples/sec | ETA 12:00:36 2021-08-23 09:09:46 [INFO] [TRAIN] epoch: 336, iter: 124860/160000, loss: 0.0546, lr: 0.000013, batch_cost: 1.2281, reader_cost: 0.00023, ips: 1.6285 samples/sec | ETA 11:59:15 2021-08-23 09:09:59 [INFO] [TRAIN] epoch: 336, iter: 124870/160000, loss: 0.0479, lr: 0.000013, batch_cost: 1.2429, reader_cost: 0.00022, ips: 1.6091 samples/sec | ETA 12:07:44 2021-08-23 09:10:11 [INFO] [TRAIN] epoch: 336, iter: 124880/160000, loss: 0.0496, lr: 0.000013, batch_cost: 1.2217, reader_cost: 0.00022, ips: 1.6371 samples/sec | ETA 11:55:05 2021-08-23 09:10:23 [INFO] [TRAIN] epoch: 336, iter: 124890/160000, loss: 0.0364, lr: 0.000013, batch_cost: 1.2301, reader_cost: 0.00020, ips: 1.6259 samples/sec | ETA 11:59:49 2021-08-23 09:10:36 [INFO] [TRAIN] epoch: 336, iter: 124900/160000, loss: 0.0540, lr: 0.000013, batch_cost: 1.2376, reader_cost: 0.00023, ips: 1.6160 samples/sec | ETA 12:04:00 2021-08-23 09:10:48 [INFO] [TRAIN] epoch: 336, iter: 124910/160000, loss: 0.0480, lr: 0.000013, batch_cost: 1.2452, reader_cost: 0.00024, ips: 1.6061 samples/sec | ETA 12:08:15 2021-08-23 09:11:00 [INFO] [TRAIN] epoch: 336, iter: 124920/160000, loss: 0.0474, lr: 0.000013, batch_cost: 1.2348, 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124980/160000, loss: 0.0431, lr: 0.000013, batch_cost: 1.2281, reader_cost: 0.00022, ips: 1.6285 samples/sec | ETA 11:56:48 2021-08-23 09:12:26 [INFO] [TRAIN] epoch: 336, iter: 124990/160000, loss: 0.0478, lr: 0.000013, batch_cost: 1.1830, reader_cost: 0.00016, ips: 1.6906 samples/sec | ETA 11:30:16 2021-08-23 09:12:41 [INFO] [TRAIN] epoch: 337, iter: 125000/160000, loss: 0.0527, lr: 0.000013, batch_cost: 1.5144, reader_cost: 0.26750, ips: 1.3206 samples/sec | ETA 14:43:25 2021-08-23 09:12:53 [INFO] [TRAIN] epoch: 337, iter: 125010/160000, loss: 0.0497, lr: 0.000013, batch_cost: 1.2147, reader_cost: 0.00079, ips: 1.6464 samples/sec | ETA 11:48:23 2021-08-23 09:13:05 [INFO] [TRAIN] epoch: 337, iter: 125020/160000, loss: 0.0337, lr: 0.000013, batch_cost: 1.2336, reader_cost: 0.00021, ips: 1.6213 samples/sec | ETA 11:59:10 2021-08-23 09:13:18 [INFO] [TRAIN] epoch: 337, iter: 125030/160000, loss: 0.0524, lr: 0.000013, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 11:53:45 2021-08-23 09:13:30 [INFO] [TRAIN] epoch: 337, iter: 125040/160000, loss: 0.0499, lr: 0.000013, batch_cost: 1.2213, reader_cost: 0.00021, ips: 1.6376 samples/sec | ETA 11:51:35 2021-08-23 09:13:42 [INFO] [TRAIN] epoch: 337, iter: 125050/160000, loss: 0.0446, lr: 0.000013, batch_cost: 1.2197, reader_cost: 0.00022, ips: 1.6397 samples/sec | ETA 11:50:30 2021-08-23 09:13:54 [INFO] [TRAIN] epoch: 337, iter: 125060/160000, loss: 0.0501, lr: 0.000013, batch_cost: 1.2282, reader_cost: 0.00021, ips: 1.6283 samples/sec | ETA 11:55:14 2021-08-23 09:14:07 [INFO] [TRAIN] epoch: 337, iter: 125070/160000, loss: 0.0524, lr: 0.000013, batch_cost: 1.2227, reader_cost: 0.00021, ips: 1.6358 samples/sec | ETA 11:51:47 2021-08-23 09:14:19 [INFO] [TRAIN] epoch: 337, iter: 125080/160000, loss: 0.0425, lr: 0.000013, batch_cost: 1.2409, reader_cost: 0.00021, ips: 1.6118 samples/sec | ETA 12:02:11 2021-08-23 09:14:31 [INFO] [TRAIN] epoch: 337, iter: 125090/160000, loss: 0.0488, lr: 0.000013, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6305 samples/sec | ETA 11:53:41 2021-08-23 09:14:44 [INFO] [TRAIN] epoch: 337, iter: 125100/160000, loss: 0.0622, lr: 0.000013, batch_cost: 1.2214, reader_cost: 0.00020, ips: 1.6374 samples/sec | ETA 11:50:27 2021-08-23 09:14:56 [INFO] [TRAIN] epoch: 337, iter: 125110/160000, loss: 0.0516, lr: 0.000013, batch_cost: 1.2317, reader_cost: 0.00023, ips: 1.6238 samples/sec | ETA 11:56:13 2021-08-23 09:15:08 [INFO] [TRAIN] epoch: 337, iter: 125120/160000, loss: 0.0601, lr: 0.000013, batch_cost: 1.2253, reader_cost: 0.00022, ips: 1.6322 samples/sec | ETA 11:52:19 2021-08-23 09:15:20 [INFO] [TRAIN] epoch: 337, iter: 125130/160000, loss: 0.0422, lr: 0.000013, batch_cost: 1.2320, reader_cost: 0.00021, ips: 1.6233 samples/sec | ETA 11:56:01 2021-08-23 09:15:33 [INFO] [TRAIN] epoch: 337, iter: 125140/160000, loss: 0.0589, lr: 0.000013, batch_cost: 1.2270, reader_cost: 0.00023, ips: 1.6300 samples/sec | ETA 11:52:53 2021-08-23 09:15:45 [INFO] [TRAIN] epoch: 337, iter: 125150/160000, loss: 0.0503, lr: 0.000013, batch_cost: 1.2268, reader_cost: 0.00020, ips: 1.6303 samples/sec | ETA 11:52:33 2021-08-23 09:15:57 [INFO] [TRAIN] epoch: 337, iter: 125160/160000, loss: 0.0488, lr: 0.000013, batch_cost: 1.2345, reader_cost: 0.00021, ips: 1.6200 samples/sec | ETA 11:56:51 2021-08-23 09:16:10 [INFO] [TRAIN] epoch: 337, iter: 125170/160000, loss: 0.0433, lr: 0.000013, batch_cost: 1.2196, reader_cost: 0.00020, ips: 1.6399 samples/sec | ETA 11:47:57 2021-08-23 09:16:22 [INFO] [TRAIN] epoch: 337, iter: 125180/160000, loss: 0.0582, lr: 0.000013, batch_cost: 1.2232, reader_cost: 0.00021, ips: 1.6350 samples/sec | ETA 11:49:52 2021-08-23 09:16:34 [INFO] [TRAIN] epoch: 337, iter: 125190/160000, loss: 0.0523, lr: 0.000013, batch_cost: 1.2172, reader_cost: 0.00022, ips: 1.6431 samples/sec | ETA 11:46:11 2021-08-23 09:16:46 [INFO] [TRAIN] epoch: 337, iter: 125200/160000, loss: 0.0549, lr: 0.000013, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 11:51:24 2021-08-23 09:16:59 [INFO] [TRAIN] epoch: 337, iter: 125210/160000, loss: 0.0574, lr: 0.000013, batch_cost: 1.2355, reader_cost: 0.00021, ips: 1.6187 samples/sec | ETA 11:56:24 2021-08-23 09:17:11 [INFO] [TRAIN] epoch: 337, iter: 125220/160000, loss: 0.0586, lr: 0.000013, batch_cost: 1.2404, reader_cost: 0.00021, ips: 1.6124 samples/sec | ETA 11:58:59 2021-08-23 09:17:23 [INFO] [TRAIN] epoch: 337, iter: 125230/160000, loss: 0.0531, lr: 0.000013, batch_cost: 1.2276, reader_cost: 0.00022, ips: 1.6292 samples/sec | ETA 11:51:24 2021-08-23 09:17:36 [INFO] [TRAIN] epoch: 337, iter: 125240/160000, loss: 0.0443, lr: 0.000013, batch_cost: 1.2273, reader_cost: 0.00022, ips: 1.6296 samples/sec | ETA 11:51:01 2021-08-23 09:17:48 [INFO] [TRAIN] epoch: 337, iter: 125250/160000, loss: 0.0404, lr: 0.000013, batch_cost: 1.2116, reader_cost: 0.00022, ips: 1.6507 samples/sec | ETA 11:41:44 2021-08-23 09:18:00 [INFO] [TRAIN] epoch: 337, iter: 125260/160000, loss: 0.0435, lr: 0.000013, batch_cost: 1.2289, reader_cost: 0.00022, ips: 1.6274 samples/sec | ETA 11:51:33 2021-08-23 09:18:12 [INFO] [TRAIN] epoch: 337, iter: 125270/160000, loss: 0.0498, lr: 0.000013, batch_cost: 1.2302, reader_cost: 0.00022, ips: 1.6258 samples/sec | ETA 11:52:03 2021-08-23 09:18:24 [INFO] [TRAIN] epoch: 337, iter: 125280/160000, loss: 0.0432, lr: 0.000013, batch_cost: 1.2180, reader_cost: 0.00022, ips: 1.6420 samples/sec | ETA 11:44:48 2021-08-23 09:18:37 [INFO] [TRAIN] epoch: 337, iter: 125290/160000, loss: 0.0429, lr: 0.000013, batch_cost: 1.2179, reader_cost: 0.00022, ips: 1.6422 samples/sec | ETA 11:44:32 2021-08-23 09:18:49 [INFO] [TRAIN] epoch: 337, iter: 125300/160000, loss: 0.0423, lr: 0.000013, batch_cost: 1.2260, reader_cost: 0.00022, ips: 1.6313 samples/sec | ETA 11:49:02 2021-08-23 09:19:01 [INFO] [TRAIN] epoch: 337, iter: 125310/160000, loss: 0.0531, lr: 0.000013, batch_cost: 1.2221, reader_cost: 0.00022, ips: 1.6365 samples/sec | ETA 11:46:34 2021-08-23 09:19:13 [INFO] [TRAIN] epoch: 337, iter: 125320/160000, loss: 0.0405, lr: 0.000013, batch_cost: 1.2177, reader_cost: 0.00022, ips: 1.6425 samples/sec | ETA 11:43:48 2021-08-23 09:19:25 [INFO] [TRAIN] epoch: 337, iter: 125330/160000, loss: 0.0506, lr: 0.000013, batch_cost: 1.2221, reader_cost: 0.00020, ips: 1.6365 samples/sec | ETA 11:46:11 2021-08-23 09:19:38 [INFO] [TRAIN] epoch: 337, iter: 125340/160000, loss: 0.0481, lr: 0.000013, batch_cost: 1.2327, reader_cost: 0.00021, ips: 1.6225 samples/sec | ETA 11:52:05 2021-08-23 09:19:50 [INFO] [TRAIN] epoch: 337, iter: 125350/160000, loss: 0.0466, lr: 0.000013, batch_cost: 1.2316, reader_cost: 0.00021, ips: 1.6238 samples/sec | ETA 11:51:16 2021-08-23 09:20:02 [INFO] [TRAIN] epoch: 337, iter: 125360/160000, loss: 0.0522, lr: 0.000013, batch_cost: 1.1900, reader_cost: 0.00018, ips: 1.6807 samples/sec | ETA 11:26:59 2021-08-23 09:20:17 [INFO] [TRAIN] epoch: 338, iter: 125370/160000, loss: 0.0493, lr: 0.000013, batch_cost: 1.4843, reader_cost: 0.23609, ips: 1.3474 samples/sec | ETA 14:16:41 2021-08-23 09:20:29 [INFO] [TRAIN] epoch: 338, iter: 125380/160000, loss: 0.0509, lr: 0.000013, batch_cost: 1.2350, reader_cost: 0.00085, ips: 1.6195 samples/sec | ETA 11:52:34 2021-08-23 09:20:42 [INFO] [TRAIN] epoch: 338, iter: 125390/160000, loss: 0.0494, lr: 0.000013, batch_cost: 1.2346, reader_cost: 0.00024, ips: 1.6199 samples/sec | ETA 11:52:09 2021-08-23 09:20:54 [INFO] [TRAIN] epoch: 338, iter: 125400/160000, loss: 0.0492, lr: 0.000013, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6364 samples/sec | ETA 11:44:48 2021-08-23 09:21:06 [INFO] [TRAIN] epoch: 338, iter: 125410/160000, loss: 0.0446, lr: 0.000013, batch_cost: 1.2090, reader_cost: 0.00022, ips: 1.6543 samples/sec | ETA 11:36:58 2021-08-23 09:21:18 [INFO] [TRAIN] epoch: 338, iter: 125420/160000, loss: 0.0525, lr: 0.000013, batch_cost: 1.2288, reader_cost: 0.00021, ips: 1.6276 samples/sec | ETA 11:48:11 2021-08-23 09:21:31 [INFO] [TRAIN] epoch: 338, iter: 125430/160000, loss: 0.0488, lr: 0.000013, batch_cost: 1.2469, reader_cost: 0.00022, ips: 1.6040 samples/sec | ETA 11:58:24 2021-08-23 09:21:43 [INFO] [TRAIN] epoch: 338, iter: 125440/160000, loss: 0.0488, lr: 0.000013, batch_cost: 1.2150, reader_cost: 0.00021, ips: 1.6461 samples/sec | ETA 11:39:50 2021-08-23 09:21:55 [INFO] [TRAIN] epoch: 338, iter: 125450/160000, loss: 0.0507, lr: 0.000013, batch_cost: 1.2111, reader_cost: 0.00021, ips: 1.6514 samples/sec | ETA 11:37:23 2021-08-23 09:22:07 [INFO] [TRAIN] epoch: 338, iter: 125460/160000, loss: 0.0488, lr: 0.000013, batch_cost: 1.2154, reader_cost: 0.00021, ips: 1.6455 samples/sec | ETA 11:39:41 2021-08-23 09:22:19 [INFO] [TRAIN] epoch: 338, iter: 125470/160000, loss: 0.0560, lr: 0.000013, batch_cost: 1.2201, reader_cost: 0.00022, ips: 1.6392 samples/sec | ETA 11:42:09 2021-08-23 09:22:31 [INFO] [TRAIN] epoch: 338, iter: 125480/160000, loss: 0.0495, lr: 0.000013, batch_cost: 1.2153, reader_cost: 0.00022, ips: 1.6456 samples/sec | ETA 11:39:13 2021-08-23 09:22:44 [INFO] [TRAIN] epoch: 338, iter: 125490/160000, loss: 0.0577, lr: 0.000013, batch_cost: 1.2291, reader_cost: 0.00023, ips: 1.6272 samples/sec | ETA 11:46:57 2021-08-23 09:22:56 [INFO] [TRAIN] epoch: 338, iter: 125500/160000, loss: 0.0439, lr: 0.000013, batch_cost: 1.2304, reader_cost: 0.00023, ips: 1.6255 samples/sec | ETA 11:47:27 2021-08-23 09:23:08 [INFO] [TRAIN] epoch: 338, iter: 125510/160000, loss: 0.0516, lr: 0.000013, batch_cost: 1.2144, reader_cost: 0.00023, ips: 1.6469 samples/sec | ETA 11:38:05 2021-08-23 09:23:20 [INFO] [TRAIN] epoch: 338, iter: 125520/160000, loss: 0.0493, lr: 0.000013, batch_cost: 1.2278, reader_cost: 0.00023, ips: 1.6289 samples/sec | ETA 11:45:35 2021-08-23 09:23:33 [INFO] [TRAIN] epoch: 338, iter: 125530/160000, loss: 0.0453, lr: 0.000013, batch_cost: 1.2169, reader_cost: 0.00022, ips: 1.6435 samples/sec | ETA 11:39:07 2021-08-23 09:23:45 [INFO] [TRAIN] epoch: 338, iter: 125540/160000, loss: 0.0485, lr: 0.000013, batch_cost: 1.2136, reader_cost: 0.00020, ips: 1.6479 samples/sec | ETA 11:37:01 2021-08-23 09:23:57 [INFO] [TRAIN] epoch: 338, iter: 125550/160000, loss: 0.0518, lr: 0.000013, batch_cost: 1.2214, reader_cost: 0.00022, ips: 1.6375 samples/sec | ETA 11:41:17 2021-08-23 09:24:09 [INFO] [TRAIN] epoch: 338, iter: 125560/160000, loss: 0.0493, lr: 0.000013, batch_cost: 1.2396, reader_cost: 0.00023, ips: 1.6135 samples/sec | ETA 11:51:30 2021-08-23 09:24:22 [INFO] [TRAIN] epoch: 338, iter: 125570/160000, loss: 0.0484, lr: 0.000013, batch_cost: 1.2345, reader_cost: 0.00025, ips: 1.6201 samples/sec | ETA 11:48:24 2021-08-23 09:24:34 [INFO] [TRAIN] epoch: 338, iter: 125580/160000, loss: 0.0482, lr: 0.000013, batch_cost: 1.2342, reader_cost: 0.00021, ips: 1.6204 samples/sec | ETA 11:48:02 2021-08-23 09:24:46 [INFO] [TRAIN] epoch: 338, iter: 125590/160000, loss: 0.0621, lr: 0.000013, batch_cost: 1.2281, reader_cost: 0.00021, ips: 1.6286 samples/sec | ETA 11:44:18 2021-08-23 09:24:58 [INFO] [TRAIN] epoch: 338, iter: 125600/160000, loss: 0.0477, lr: 0.000013, batch_cost: 1.2148, reader_cost: 0.00021, ips: 1.6464 samples/sec | ETA 11:36:28 2021-08-23 09:25:11 [INFO] [TRAIN] epoch: 338, iter: 125610/160000, loss: 0.0468, lr: 0.000013, batch_cost: 1.2434, reader_cost: 0.00022, ips: 1.6084 samples/sec | ETA 11:52:42 2021-08-23 09:25:23 [INFO] [TRAIN] epoch: 338, iter: 125620/160000, loss: 0.0586, lr: 0.000013, batch_cost: 1.2217, reader_cost: 0.00022, ips: 1.6371 samples/sec | ETA 11:40:01 2021-08-23 09:25:35 [INFO] [TRAIN] epoch: 338, iter: 125630/160000, loss: 0.0410, lr: 0.000013, batch_cost: 1.2233, reader_cost: 0.00021, ips: 1.6350 samples/sec | ETA 11:40:43 2021-08-23 09:25:48 [INFO] [TRAIN] epoch: 338, iter: 125640/160000, loss: 0.0451, lr: 0.000013, batch_cost: 1.2281, reader_cost: 0.00021, ips: 1.6285 samples/sec | ETA 11:43:18 2021-08-23 09:26:00 [INFO] [TRAIN] epoch: 338, iter: 125650/160000, loss: 0.0472, lr: 0.000013, batch_cost: 1.2161, reader_cost: 0.00021, ips: 1.6446 samples/sec | ETA 11:36:11 2021-08-23 09:26:12 [INFO] [TRAIN] epoch: 338, iter: 125660/160000, loss: 0.0555, lr: 0.000013, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6388 samples/sec | ETA 11:38:29 2021-08-23 09:26:24 [INFO] [TRAIN] epoch: 338, iter: 125670/160000, loss: 0.0514, lr: 0.000013, batch_cost: 1.2194, reader_cost: 0.00021, ips: 1.6401 samples/sec | ETA 11:37:43 2021-08-23 09:26:36 [INFO] [TRAIN] epoch: 338, iter: 125680/160000, loss: 0.0471, lr: 0.000013, batch_cost: 1.2271, reader_cost: 0.00021, ips: 1.6298 samples/sec | ETA 11:41:54 2021-08-23 09:26:49 [INFO] [TRAIN] epoch: 338, iter: 125690/160000, loss: 0.0424, lr: 0.000013, batch_cost: 1.2096, reader_cost: 0.00025, ips: 1.6534 samples/sec | ETA 11:31:41 2021-08-23 09:27:01 [INFO] [TRAIN] epoch: 338, iter: 125700/160000, loss: 0.0500, lr: 0.000013, batch_cost: 1.2269, reader_cost: 0.00022, ips: 1.6301 samples/sec | ETA 11:41:22 2021-08-23 09:27:13 [INFO] [TRAIN] epoch: 338, iter: 125710/160000, loss: 0.0538, lr: 0.000013, batch_cost: 1.2659, reader_cost: 0.00020, ips: 1.5799 samples/sec | ETA 12:03:28 2021-08-23 09:27:26 [INFO] [TRAIN] epoch: 338, iter: 125720/160000, loss: 0.0492, lr: 0.000013, batch_cost: 1.2343, reader_cost: 0.00022, ips: 1.6204 samples/sec | ETA 11:45:10 2021-08-23 09:27:38 [INFO] [TRAIN] epoch: 338, iter: 125730/160000, loss: 0.0446, lr: 0.000013, batch_cost: 1.1868, reader_cost: 0.00017, ips: 1.6852 samples/sec | ETA 11:17:52 2021-08-23 09:27:52 [INFO] [TRAIN] epoch: 339, iter: 125740/160000, loss: 0.0507, lr: 0.000013, batch_cost: 1.4602, reader_cost: 0.19321, ips: 1.3697 samples/sec | ETA 13:53:47 2021-08-23 09:28:05 [INFO] [TRAIN] epoch: 339, iter: 125750/160000, loss: 0.0502, lr: 0.000013, batch_cost: 1.2304, reader_cost: 0.00071, ips: 1.6255 samples/sec | ETA 11:42:20 2021-08-23 09:28:17 [INFO] [TRAIN] epoch: 339, iter: 125760/160000, loss: 0.0595, lr: 0.000013, batch_cost: 1.2344, reader_cost: 0.00022, ips: 1.6202 samples/sec | ETA 11:44:26 2021-08-23 09:28:29 [INFO] [TRAIN] epoch: 339, iter: 125770/160000, loss: 0.0517, lr: 0.000013, batch_cost: 1.2399, reader_cost: 0.00020, ips: 1.6130 samples/sec | ETA 11:47:21 2021-08-23 09:28:42 [INFO] [TRAIN] epoch: 339, iter: 125780/160000, loss: 0.0440, lr: 0.000013, batch_cost: 1.2224, reader_cost: 0.00021, ips: 1.6361 samples/sec | ETA 11:37:10 2021-08-23 09:28:54 [INFO] [TRAIN] epoch: 339, iter: 125790/160000, loss: 0.0493, lr: 0.000013, batch_cost: 1.2343, reader_cost: 0.00022, ips: 1.6203 samples/sec | ETA 11:43:45 2021-08-23 09:29:06 [INFO] [TRAIN] epoch: 339, iter: 125800/160000, loss: 0.0570, lr: 0.000013, batch_cost: 1.2338, reader_cost: 0.00022, ips: 1.6211 samples/sec | ETA 11:43:14 2021-08-23 09:29:18 [INFO] [TRAIN] epoch: 339, iter: 125810/160000, loss: 0.0512, lr: 0.000013, batch_cost: 1.2235, reader_cost: 0.00022, ips: 1.6346 samples/sec | ETA 11:37:11 2021-08-23 09:29:31 [INFO] [TRAIN] epoch: 339, iter: 125820/160000, loss: 0.0437, lr: 0.000013, batch_cost: 1.2224, reader_cost: 0.00022, ips: 1.6362 samples/sec | ETA 11:36:20 2021-08-23 09:29:43 [INFO] [TRAIN] epoch: 339, iter: 125830/160000, loss: 0.0425, lr: 0.000013, batch_cost: 1.2399, reader_cost: 0.00023, ips: 1.6130 samples/sec | ETA 11:46:08 2021-08-23 09:29:55 [INFO] [TRAIN] epoch: 339, iter: 125840/160000, loss: 0.0483, lr: 0.000013, batch_cost: 1.2173, reader_cost: 0.00021, ips: 1.6430 samples/sec | ETA 11:33:02 2021-08-23 09:30:07 [INFO] [TRAIN] epoch: 339, iter: 125850/160000, loss: 0.0571, lr: 0.000013, batch_cost: 1.2119, reader_cost: 0.00023, ips: 1.6503 samples/sec | ETA 11:29:45 2021-08-23 09:30:20 [INFO] [TRAIN] epoch: 339, iter: 125860/160000, loss: 0.0523, lr: 0.000013, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6384 samples/sec | ETA 11:34:33 2021-08-23 09:30:32 [INFO] [TRAIN] epoch: 339, iter: 125870/160000, loss: 0.0564, lr: 0.000013, batch_cost: 1.2333, reader_cost: 0.00021, ips: 1.6217 samples/sec | ETA 11:41:31 2021-08-23 09:30:44 [INFO] [TRAIN] epoch: 339, iter: 125880/160000, loss: 0.0615, lr: 0.000013, batch_cost: 1.2295, reader_cost: 0.00022, ips: 1.6266 samples/sec | ETA 11:39:11 2021-08-23 09:30:57 [INFO] [TRAIN] epoch: 339, iter: 125890/160000, loss: 0.0454, lr: 0.000013, batch_cost: 1.2332, reader_cost: 0.00023, ips: 1.6218 samples/sec | ETA 11:41:05 2021-08-23 09:31:09 [INFO] [TRAIN] epoch: 339, iter: 125900/160000, loss: 0.0474, lr: 0.000013, batch_cost: 1.2242, reader_cost: 0.00020, ips: 1.6338 samples/sec | ETA 11:35:43 2021-08-23 09:31:21 [INFO] [TRAIN] epoch: 339, iter: 125910/160000, loss: 0.0393, lr: 0.000013, batch_cost: 1.2354, reader_cost: 0.00021, ips: 1.6190 samples/sec | ETA 11:41:53 2021-08-23 09:31:33 [INFO] [TRAIN] epoch: 339, iter: 125920/160000, loss: 0.0543, lr: 0.000013, batch_cost: 1.2160, reader_cost: 0.00023, ips: 1.6447 samples/sec | ETA 11:30:41 2021-08-23 09:31:46 [INFO] [TRAIN] epoch: 339, iter: 125930/160000, loss: 0.0416, lr: 0.000013, batch_cost: 1.2418, reader_cost: 0.00023, ips: 1.6105 samples/sec | ETA 11:45:08 2021-08-23 09:31:58 [INFO] [TRAIN] epoch: 339, iter: 125940/160000, loss: 0.0564, lr: 0.000013, batch_cost: 1.2392, reader_cost: 0.00021, ips: 1.6140 samples/sec | ETA 11:43:25 2021-08-23 09:32:10 [INFO] [TRAIN] epoch: 339, iter: 125950/160000, loss: 0.0447, lr: 0.000013, batch_cost: 1.2358, reader_cost: 0.00021, ips: 1.6184 samples/sec | ETA 11:41:19 2021-08-23 09:32:23 [INFO] [TRAIN] epoch: 339, iter: 125960/160000, loss: 0.0430, lr: 0.000013, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6283 samples/sec | ETA 11:36:49 2021-08-23 09:32:35 [INFO] [TRAIN] epoch: 339, iter: 125970/160000, loss: 0.0538, lr: 0.000013, batch_cost: 1.2371, reader_cost: 0.00023, ips: 1.6167 samples/sec | ETA 11:41:37 2021-08-23 09:32:47 [INFO] [TRAIN] epoch: 339, iter: 125980/160000, loss: 0.0616, lr: 0.000013, batch_cost: 1.2347, reader_cost: 0.00022, ips: 1.6198 samples/sec | ETA 11:40:06 2021-08-23 09:33:00 [INFO] [TRAIN] epoch: 339, iter: 125990/160000, loss: 0.0449, lr: 0.000013, batch_cost: 1.2169, reader_cost: 0.00020, ips: 1.6435 samples/sec | ETA 11:29:47 2021-08-23 09:33:12 [INFO] [TRAIN] epoch: 339, iter: 126000/160000, loss: 0.0590, lr: 0.000013, batch_cost: 1.2224, reader_cost: 0.00021, ips: 1.6361 samples/sec | ETA 11:32:42 2021-08-23 09:33:24 [INFO] [TRAIN] epoch: 339, iter: 126010/160000, loss: 0.0581, lr: 0.000013, batch_cost: 1.2334, reader_cost: 0.00022, ips: 1.6215 samples/sec | ETA 11:38:43 2021-08-23 09:33:36 [INFO] [TRAIN] epoch: 339, iter: 126020/160000, loss: 0.0554, lr: 0.000013, batch_cost: 1.2075, reader_cost: 0.00021, ips: 1.6563 samples/sec | ETA 11:23:51 2021-08-23 09:33:49 [INFO] [TRAIN] epoch: 339, iter: 126030/160000, loss: 0.0561, lr: 0.000013, batch_cost: 1.2328, reader_cost: 0.00024, ips: 1.6224 samples/sec | ETA 11:37:56 2021-08-23 09:34:01 [INFO] [TRAIN] epoch: 339, iter: 126040/160000, loss: 0.0488, lr: 0.000013, batch_cost: 1.2334, reader_cost: 0.00021, ips: 1.6215 samples/sec | ETA 11:38:06 2021-08-23 09:34:13 [INFO] [TRAIN] epoch: 339, iter: 126050/160000, loss: 0.0526, lr: 0.000013, batch_cost: 1.2254, reader_cost: 0.00023, ips: 1.6321 samples/sec | ETA 11:33:22 2021-08-23 09:34:25 [INFO] [TRAIN] epoch: 339, iter: 126060/160000, loss: 0.0526, lr: 0.000013, batch_cost: 1.2275, reader_cost: 0.00022, ips: 1.6294 samples/sec | ETA 11:34:20 2021-08-23 09:34:38 [INFO] [TRAIN] epoch: 339, iter: 126070/160000, loss: 0.0453, lr: 0.000013, batch_cost: 1.2389, reader_cost: 0.00022, ips: 1.6143 samples/sec | ETA 11:40:37 2021-08-23 09:34:50 [INFO] [TRAIN] epoch: 339, iter: 126080/160000, loss: 0.0563, lr: 0.000013, batch_cost: 1.2242, reader_cost: 0.00020, ips: 1.6337 samples/sec | ETA 11:32:05 2021-08-23 09:35:02 [INFO] [TRAIN] epoch: 339, iter: 126090/160000, loss: 0.0389, lr: 0.000013, batch_cost: 1.2314, reader_cost: 0.00021, ips: 1.6241 samples/sec | ETA 11:35:57 2021-08-23 09:35:14 [INFO] [TRAIN] epoch: 339, iter: 126100/160000, loss: 0.0452, lr: 0.000013, batch_cost: 1.2027, reader_cost: 0.00020, ips: 1.6629 samples/sec | ETA 11:19:32 2021-08-23 09:35:29 [INFO] [TRAIN] epoch: 340, iter: 126110/160000, loss: 0.0535, lr: 0.000013, batch_cost: 1.4537, reader_cost: 0.20971, ips: 1.3758 samples/sec | ETA 13:41:05 2021-08-23 09:35:41 [INFO] [TRAIN] epoch: 340, iter: 126120/160000, loss: 0.0531, lr: 0.000013, batch_cost: 1.2204, reader_cost: 0.00080, ips: 1.6388 samples/sec | ETA 11:29:07 2021-08-23 09:35:53 [INFO] [TRAIN] epoch: 340, iter: 126130/160000, loss: 0.0508, lr: 0.000013, batch_cost: 1.2237, reader_cost: 0.00021, ips: 1.6343 samples/sec | ETA 11:30:48 2021-08-23 09:36:06 [INFO] [TRAIN] epoch: 340, iter: 126140/160000, loss: 0.0507, lr: 0.000013, batch_cost: 1.2177, reader_cost: 0.00021, ips: 1.6425 samples/sec | ETA 11:27:09 2021-08-23 09:36:18 [INFO] [TRAIN] epoch: 340, iter: 126150/160000, loss: 0.0476, lr: 0.000013, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6404 samples/sec | ETA 11:27:50 2021-08-23 09:36:30 [INFO] [TRAIN] epoch: 340, iter: 126160/160000, loss: 0.0442, lr: 0.000013, batch_cost: 1.2313, reader_cost: 0.00022, ips: 1.6244 samples/sec | ETA 11:34:25 2021-08-23 09:36:42 [INFO] [TRAIN] epoch: 340, iter: 126170/160000, loss: 0.0618, lr: 0.000013, batch_cost: 1.2344, reader_cost: 0.00022, ips: 1.6203 samples/sec | ETA 11:35:58 2021-08-23 09:36:55 [INFO] [TRAIN] epoch: 340, iter: 126180/160000, loss: 0.0498, lr: 0.000013, batch_cost: 1.2196, reader_cost: 0.00023, ips: 1.6398 samples/sec | ETA 11:27:28 2021-08-23 09:37:07 [INFO] [TRAIN] epoch: 340, iter: 126190/160000, loss: 0.0335, lr: 0.000013, batch_cost: 1.2100, reader_cost: 0.00022, ips: 1.6529 samples/sec | ETA 11:21:49 2021-08-23 09:37:19 [INFO] [TRAIN] epoch: 340, iter: 126200/160000, loss: 0.0466, lr: 0.000013, batch_cost: 1.2153, reader_cost: 0.00022, ips: 1.6456 samples/sec | ETA 11:24:38 2021-08-23 09:37:31 [INFO] [TRAIN] epoch: 340, iter: 126210/160000, loss: 0.0524, lr: 0.000013, batch_cost: 1.2223, reader_cost: 0.00022, ips: 1.6362 samples/sec | ETA 11:28:23 2021-08-23 09:37:43 [INFO] [TRAIN] epoch: 340, iter: 126220/160000, loss: 0.0556, lr: 0.000013, batch_cost: 1.2188, reader_cost: 0.00023, ips: 1.6409 samples/sec | ETA 11:26:12 2021-08-23 09:37:56 [INFO] [TRAIN] epoch: 340, iter: 126230/160000, loss: 0.0457, lr: 0.000013, batch_cost: 1.2198, reader_cost: 0.00021, ips: 1.6396 samples/sec | ETA 11:26:33 2021-08-23 09:38:08 [INFO] [TRAIN] epoch: 340, iter: 126240/160000, loss: 0.0478, lr: 0.000013, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6317 samples/sec | ETA 11:29:40 2021-08-23 09:38:20 [INFO] [TRAIN] epoch: 340, iter: 126250/160000, loss: 0.0461, lr: 0.000013, batch_cost: 1.2129, reader_cost: 0.00022, ips: 1.6489 samples/sec | ETA 11:22:16 2021-08-23 09:38:32 [INFO] [TRAIN] epoch: 340, iter: 126260/160000, loss: 0.0432, lr: 0.000013, batch_cost: 1.2290, reader_cost: 0.00023, ips: 1.6273 samples/sec | ETA 11:31:07 2021-08-23 09:38:44 [INFO] [TRAIN] epoch: 340, iter: 126270/160000, loss: 0.0468, lr: 0.000013, batch_cost: 1.2283, reader_cost: 0.00021, ips: 1.6282 samples/sec | ETA 11:30:31 2021-08-23 09:38:57 [INFO] [TRAIN] epoch: 340, iter: 126280/160000, loss: 0.0511, lr: 0.000013, batch_cost: 1.2311, reader_cost: 0.00021, ips: 1.6246 samples/sec | ETA 11:31:51 2021-08-23 09:39:09 [INFO] [TRAIN] epoch: 340, iter: 126290/160000, loss: 0.0479, lr: 0.000013, batch_cost: 1.2267, reader_cost: 0.00021, ips: 1.6304 samples/sec | ETA 11:29:12 2021-08-23 09:39:21 [INFO] [TRAIN] epoch: 340, iter: 126300/160000, loss: 0.0639, lr: 0.000013, batch_cost: 1.2417, reader_cost: 0.00021, ips: 1.6107 samples/sec | ETA 11:37:25 2021-08-23 09:39:34 [INFO] [TRAIN] epoch: 340, iter: 126310/160000, loss: 0.0462, lr: 0.000013, batch_cost: 1.2288, reader_cost: 0.00021, ips: 1.6276 samples/sec | ETA 11:29:57 2021-08-23 09:39:46 [INFO] [TRAIN] epoch: 340, iter: 126320/160000, loss: 0.0493, lr: 0.000013, batch_cost: 1.2224, reader_cost: 0.00021, ips: 1.6362 samples/sec | ETA 11:26:09 2021-08-23 09:39:58 [INFO] [TRAIN] epoch: 340, iter: 126330/160000, loss: 0.0494, lr: 0.000013, batch_cost: 1.2289, reader_cost: 0.00022, ips: 1.6275 samples/sec | ETA 11:29:35 2021-08-23 09:40:11 [INFO] [TRAIN] epoch: 340, iter: 126340/160000, loss: 0.0591, lr: 0.000013, batch_cost: 1.2274, reader_cost: 0.00021, ips: 1.6294 samples/sec | ETA 11:28:34 2021-08-23 09:40:23 [INFO] [TRAIN] epoch: 340, iter: 126350/160000, loss: 0.0437, lr: 0.000013, batch_cost: 1.2008, reader_cost: 0.00020, ips: 1.6655 samples/sec | ETA 11:13:27 2021-08-23 09:40:35 [INFO] [TRAIN] epoch: 340, iter: 126360/160000, loss: 0.0481, lr: 0.000013, batch_cost: 1.2243, reader_cost: 0.00020, ips: 1.6336 samples/sec | ETA 11:26:24 2021-08-23 09:40:47 [INFO] [TRAIN] epoch: 340, iter: 126370/160000, loss: 0.0497, lr: 0.000013, batch_cost: 1.2231, reader_cost: 0.00021, ips: 1.6351 samples/sec | ETA 11:25:34 2021-08-23 09:40:59 [INFO] [TRAIN] epoch: 340, iter: 126380/160000, loss: 0.0412, lr: 0.000013, batch_cost: 1.2292, reader_cost: 0.00022, ips: 1.6270 samples/sec | ETA 11:28:47 2021-08-23 09:41:12 [INFO] [TRAIN] epoch: 340, iter: 126390/160000, loss: 0.0534, lr: 0.000013, batch_cost: 1.2255, reader_cost: 0.00024, ips: 1.6319 samples/sec | ETA 11:26:30 2021-08-23 09:41:24 [INFO] [TRAIN] epoch: 340, iter: 126400/160000, loss: 0.0515, lr: 0.000013, batch_cost: 1.2284, reader_cost: 0.00022, ips: 1.6281 samples/sec | ETA 11:27:54 2021-08-23 09:41:36 [INFO] [TRAIN] epoch: 340, iter: 126410/160000, loss: 0.0504, lr: 0.000013, batch_cost: 1.2184, reader_cost: 0.00022, ips: 1.6415 samples/sec | ETA 11:22:05 2021-08-23 09:41:48 [INFO] [TRAIN] epoch: 340, iter: 126420/160000, loss: 0.0633, lr: 0.000013, batch_cost: 1.2241, reader_cost: 0.00023, ips: 1.6339 samples/sec | ETA 11:25:03 2021-08-23 09:42:00 [INFO] [TRAIN] epoch: 340, iter: 126430/160000, loss: 0.0480, lr: 0.000013, batch_cost: 1.2126, reader_cost: 0.00022, ips: 1.6494 samples/sec | ETA 11:18:25 2021-08-23 09:42:13 [INFO] [TRAIN] epoch: 340, iter: 126440/160000, loss: 0.0568, lr: 0.000013, batch_cost: 1.2285, reader_cost: 0.00022, ips: 1.6279 samples/sec | ETA 11:27:09 2021-08-23 09:42:25 [INFO] [TRAIN] epoch: 340, iter: 126450/160000, loss: 0.0472, lr: 0.000013, batch_cost: 1.2347, reader_cost: 0.00021, ips: 1.6199 samples/sec | ETA 11:30:23 2021-08-23 09:42:37 [INFO] [TRAIN] epoch: 340, iter: 126460/160000, loss: 0.0509, lr: 0.000013, batch_cost: 1.2232, reader_cost: 0.00020, ips: 1.6350 samples/sec | ETA 11:23:46 2021-08-23 09:42:50 [INFO] [TRAIN] epoch: 340, iter: 126470/160000, loss: 0.0480, lr: 0.000013, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6359 samples/sec | ETA 11:23:13 2021-08-23 09:43:01 [INFO] [TRAIN] epoch: 340, iter: 126480/160000, loss: 0.0495, lr: 0.000013, batch_cost: 1.1851, reader_cost: 0.00016, ips: 1.6876 samples/sec | ETA 11:02:05 2021-08-23 09:43:17 [INFO] [TRAIN] epoch: 341, iter: 126490/160000, loss: 0.0466, lr: 0.000013, batch_cost: 1.5160, reader_cost: 0.25687, ips: 1.3193 samples/sec | ETA 14:06:41 2021-08-23 09:43:29 [INFO] [TRAIN] epoch: 341, iter: 126500/160000, loss: 0.0442, lr: 0.000013, batch_cost: 1.2308, reader_cost: 0.00082, ips: 1.6250 samples/sec | ETA 11:27:10 2021-08-23 09:43:41 [INFO] [TRAIN] epoch: 341, iter: 126510/160000, loss: 0.0611, lr: 0.000013, batch_cost: 1.2273, reader_cost: 0.00022, ips: 1.6296 samples/sec | ETA 11:25:02 2021-08-23 09:43:53 [INFO] [TRAIN] epoch: 341, iter: 126520/160000, loss: 0.0491, lr: 0.000013, batch_cost: 1.2247, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 11:23:22 2021-08-23 09:44:06 [INFO] [TRAIN] epoch: 341, iter: 126530/160000, loss: 0.0511, lr: 0.000013, batch_cost: 1.2608, reader_cost: 0.00023, ips: 1.5863 samples/sec | ETA 11:43:18 2021-08-23 09:44:18 [INFO] [TRAIN] epoch: 341, iter: 126540/160000, loss: 0.0519, lr: 0.000013, batch_cost: 1.2166, reader_cost: 0.00022, ips: 1.6439 samples/sec | ETA 11:18:27 2021-08-23 09:44:30 [INFO] [TRAIN] epoch: 341, iter: 126550/160000, loss: 0.0554, lr: 0.000013, batch_cost: 1.2141, reader_cost: 0.00023, ips: 1.6473 samples/sec | ETA 11:16:51 2021-08-23 09:44:43 [INFO] [TRAIN] epoch: 341, iter: 126560/160000, loss: 0.0586, lr: 0.000013, batch_cost: 1.2733, reader_cost: 0.00020, ips: 1.5707 samples/sec | ETA 11:49:40 2021-08-23 09:44:55 [INFO] [TRAIN] epoch: 341, iter: 126570/160000, loss: 0.0636, lr: 0.000013, batch_cost: 1.2316, reader_cost: 0.00022, ips: 1.6239 samples/sec | ETA 11:26:13 2021-08-23 09:45:08 [INFO] [TRAIN] epoch: 341, iter: 126580/160000, loss: 0.0528, lr: 0.000013, batch_cost: 1.2206, reader_cost: 0.00021, ips: 1.6385 samples/sec | ETA 11:19:54 2021-08-23 09:45:20 [INFO] [TRAIN] epoch: 341, iter: 126590/160000, loss: 0.0550, lr: 0.000013, batch_cost: 1.2426, reader_cost: 0.00021, ips: 1.6096 samples/sec | ETA 11:31:53 2021-08-23 09:45:32 [INFO] [TRAIN] epoch: 341, iter: 126600/160000, loss: 0.0560, lr: 0.000013, batch_cost: 1.2321, reader_cost: 0.00023, ips: 1.6232 samples/sec | ETA 11:25:53 2021-08-23 09:45:45 [INFO] [TRAIN] epoch: 341, iter: 126610/160000, loss: 0.0468, lr: 0.000013, batch_cost: 1.2414, reader_cost: 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loss: 0.0490, lr: 0.000012, batch_cost: 1.2451, reader_cost: 0.00024, ips: 1.6063 samples/sec | ETA 11:31:38 2021-08-23 09:47:11 [INFO] [TRAIN] epoch: 341, iter: 126680/160000, loss: 0.0515, lr: 0.000012, batch_cost: 1.2447, reader_cost: 0.00022, ips: 1.6068 samples/sec | ETA 11:31:14 2021-08-23 09:47:24 [INFO] [TRAIN] epoch: 341, iter: 126690/160000, loss: 0.0449, lr: 0.000012, batch_cost: 1.2272, reader_cost: 0.00022, ips: 1.6298 samples/sec | ETA 11:21:16 2021-08-23 09:47:36 [INFO] [TRAIN] epoch: 341, iter: 126700/160000, loss: 0.0481, lr: 0.000012, batch_cost: 1.2256, reader_cost: 0.00022, ips: 1.6318 samples/sec | ETA 11:20:12 2021-08-23 09:47:48 [INFO] [TRAIN] epoch: 341, iter: 126710/160000, loss: 0.0461, lr: 0.000012, batch_cost: 1.2415, reader_cost: 0.00023, ips: 1.6110 samples/sec | ETA 11:28:48 2021-08-23 09:48:01 [INFO] [TRAIN] epoch: 341, iter: 126720/160000, loss: 0.0538, lr: 0.000012, batch_cost: 1.2300, reader_cost: 0.00023, ips: 1.6261 samples/sec | ETA 11:22:13 2021-08-23 09:48:13 [INFO] [TRAIN] epoch: 341, iter: 126730/160000, loss: 0.0535, lr: 0.000012, batch_cost: 1.2462, reader_cost: 0.00023, ips: 1.6049 samples/sec | ETA 11:31:00 2021-08-23 09:48:25 [INFO] [TRAIN] epoch: 341, iter: 126740/160000, loss: 0.0512, lr: 0.000012, batch_cost: 1.2255, reader_cost: 0.00021, ips: 1.6320 samples/sec | ETA 11:19:20 2021-08-23 09:48:38 [INFO] [TRAIN] epoch: 341, iter: 126750/160000, loss: 0.0412, lr: 0.000012, batch_cost: 1.2216, reader_cost: 0.00022, ips: 1.6372 samples/sec | ETA 11:16:58 2021-08-23 09:48:50 [INFO] [TRAIN] epoch: 341, iter: 126760/160000, loss: 0.0536, lr: 0.000012, batch_cost: 1.2219, reader_cost: 0.00022, ips: 1.6368 samples/sec | ETA 11:16:56 2021-08-23 09:49:02 [INFO] [TRAIN] epoch: 341, iter: 126770/160000, loss: 0.0566, lr: 0.000012, batch_cost: 1.2109, reader_cost: 0.00022, ips: 1.6517 samples/sec | ETA 11:10:38 2021-08-23 09:49:14 [INFO] [TRAIN] epoch: 341, iter: 126780/160000, loss: 0.0578, lr: 0.000012, batch_cost: 1.2408, reader_cost: 0.00021, ips: 1.6119 samples/sec | ETA 11:26:59 2021-08-23 09:49:27 [INFO] [TRAIN] epoch: 341, iter: 126790/160000, loss: 0.0508, lr: 0.000012, batch_cost: 1.2361, reader_cost: 0.00022, ips: 1.6180 samples/sec | ETA 11:24:09 2021-08-23 09:49:39 [INFO] [TRAIN] epoch: 341, iter: 126800/160000, loss: 0.0532, lr: 0.000012, batch_cost: 1.2157, reader_cost: 0.00020, ips: 1.6452 samples/sec | ETA 11:12:39 2021-08-23 09:49:51 [INFO] [TRAIN] epoch: 341, iter: 126810/160000, loss: 0.0482, lr: 0.000012, batch_cost: 1.2200, reader_cost: 0.00021, ips: 1.6393 samples/sec | ETA 11:14:52 2021-08-23 09:50:03 [INFO] [TRAIN] epoch: 341, iter: 126820/160000, loss: 0.0533, lr: 0.000012, batch_cost: 1.2188, reader_cost: 0.00023, ips: 1.6410 samples/sec | ETA 11:13:59 2021-08-23 09:50:15 [INFO] [TRAIN] epoch: 341, iter: 126830/160000, loss: 0.0377, lr: 0.000012, batch_cost: 1.2138, reader_cost: 0.00023, ips: 1.6478 samples/sec | ETA 11:11:00 2021-08-23 09:50:28 [INFO] [TRAIN] epoch: 341, iter: 126840/160000, loss: 0.0517, lr: 0.000012, batch_cost: 1.2173, reader_cost: 0.00022, ips: 1.6430 samples/sec | ETA 11:12:44 2021-08-23 09:50:39 [INFO] [TRAIN] epoch: 341, iter: 126850/160000, loss: 0.0650, lr: 0.000012, batch_cost: 1.1860, reader_cost: 0.00018, ips: 1.6863 samples/sec | ETA 10:55:17 2021-08-23 09:50:54 [INFO] [TRAIN] epoch: 342, iter: 126860/160000, loss: 0.0506, lr: 0.000012, batch_cost: 1.4924, reader_cost: 0.21879, ips: 1.3401 samples/sec | ETA 13:44:18 2021-08-23 09:51:07 [INFO] [TRAIN] epoch: 342, iter: 126870/160000, loss: 0.0551, lr: 0.000012, batch_cost: 1.2152, reader_cost: 0.00085, ips: 1.6458 samples/sec | ETA 11:11:00 2021-08-23 09:51:19 [INFO] [TRAIN] epoch: 342, iter: 126880/160000, loss: 0.0461, lr: 0.000012, batch_cost: 1.2340, reader_cost: 0.00023, ips: 1.6207 samples/sec | ETA 11:21:10 2021-08-23 09:51:31 [INFO] [TRAIN] epoch: 342, iter: 126890/160000, loss: 0.0401, lr: 0.000012, batch_cost: 1.2276, reader_cost: 0.00023, ips: 1.6293 samples/sec | ETA 11:17:24 2021-08-23 09:51:43 [INFO] [TRAIN] epoch: 342, iter: 126900/160000, loss: 0.0493, lr: 0.000012, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6360 samples/sec | ETA 11:14:25 2021-08-23 09:51:56 [INFO] [TRAIN] epoch: 342, iter: 126910/160000, loss: 0.0436, lr: 0.000012, batch_cost: 1.2228, reader_cost: 0.00022, ips: 1.6356 samples/sec | ETA 11:14:23 2021-08-23 09:52:08 [INFO] [TRAIN] epoch: 342, iter: 126920/160000, loss: 0.0531, lr: 0.000012, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6339 samples/sec | ETA 11:14:52 2021-08-23 09:52:20 [INFO] [TRAIN] epoch: 342, iter: 126930/160000, loss: 0.0432, lr: 0.000012, batch_cost: 1.2422, reader_cost: 0.00021, ips: 1.6100 samples/sec | ETA 11:24:40 2021-08-23 09:52:33 [INFO] [TRAIN] epoch: 342, iter: 126940/160000, loss: 0.0444, lr: 0.000012, batch_cost: 1.2363, reader_cost: 0.00022, ips: 1.6178 samples/sec | ETA 11:21:11 2021-08-23 09:52:45 [INFO] [TRAIN] epoch: 342, iter: 126950/160000, loss: 0.0451, lr: 0.000012, batch_cost: 1.2554, reader_cost: 0.00022, ips: 1.5931 samples/sec | ETA 11:31:30 2021-08-23 09:52:58 [INFO] [TRAIN] epoch: 342, iter: 126960/160000, loss: 0.0507, lr: 0.000012, batch_cost: 1.2367, reader_cost: 0.00022, ips: 1.6173 samples/sec | ETA 11:20:59 2021-08-23 09:53:10 [INFO] [TRAIN] epoch: 342, iter: 126970/160000, loss: 0.0514, lr: 0.000012, batch_cost: 1.2473, reader_cost: 0.00022, ips: 1.6034 samples/sec | ETA 11:26:39 2021-08-23 09:53:22 [INFO] [TRAIN] epoch: 342, iter: 126980/160000, loss: 0.0521, lr: 0.000012, batch_cost: 1.2363, reader_cost: 0.00022, ips: 1.6177 samples/sec | ETA 11:20:23 2021-08-23 09:53:35 [INFO] [TRAIN] epoch: 342, iter: 126990/160000, loss: 0.0555, lr: 0.000012, batch_cost: 1.2523, reader_cost: 0.00022, ips: 1.5971 samples/sec | ETA 11:28:58 2021-08-23 09:53:47 [INFO] [TRAIN] epoch: 342, iter: 127000/160000, loss: 0.0543, lr: 0.000012, batch_cost: 1.2409, reader_cost: 0.00023, ips: 1.6118 samples/sec | ETA 11:22:28 2021-08-23 09:54:00 [INFO] [TRAIN] epoch: 342, iter: 127010/160000, loss: 0.0561, lr: 0.000012, batch_cost: 1.2333, reader_cost: 0.00023, ips: 1.6217 samples/sec | ETA 11:18:05 2021-08-23 09:54:12 [INFO] [TRAIN] epoch: 342, iter: 127020/160000, loss: 0.0469, lr: 0.000012, batch_cost: 1.2408, reader_cost: 0.00023, ips: 1.6119 samples/sec | ETA 11:22:01 2021-08-23 09:54:24 [INFO] [TRAIN] epoch: 342, iter: 127030/160000, loss: 0.0480, lr: 0.000012, batch_cost: 1.2210, reader_cost: 0.00022, ips: 1.6380 samples/sec | ETA 11:10:56 2021-08-23 09:54:37 [INFO] [TRAIN] epoch: 342, iter: 127040/160000, loss: 0.0595, lr: 0.000012, batch_cost: 1.2310, reader_cost: 0.00022, ips: 1.6248 samples/sec | ETA 11:16:12 2021-08-23 09:54:49 [INFO] [TRAIN] epoch: 342, iter: 127050/160000, loss: 0.0436, lr: 0.000012, batch_cost: 1.2189, reader_cost: 0.00021, ips: 1.6408 samples/sec | ETA 11:09:24 2021-08-23 09:55:01 [INFO] [TRAIN] epoch: 342, iter: 127060/160000, loss: 0.0480, lr: 0.000012, batch_cost: 1.2151, reader_cost: 0.00021, ips: 1.6460 samples/sec | ETA 11:07:04 2021-08-23 09:55:13 [INFO] [TRAIN] epoch: 342, iter: 127070/160000, loss: 0.0479, lr: 0.000012, batch_cost: 1.2288, reader_cost: 0.00022, ips: 1.6277 samples/sec | ETA 11:14:23 2021-08-23 09:55:26 [INFO] [TRAIN] epoch: 342, iter: 127080/160000, loss: 0.0539, lr: 0.000012, batch_cost: 1.2353, reader_cost: 0.00022, ips: 1.6191 samples/sec | ETA 11:17:45 2021-08-23 09:55:38 [INFO] [TRAIN] epoch: 342, iter: 127090/160000, loss: 0.0597, lr: 0.000012, batch_cost: 1.2288, reader_cost: 0.00022, ips: 1.6276 samples/sec | ETA 11:13:59 2021-08-23 09:55:50 [INFO] [TRAIN] epoch: 342, iter: 127100/160000, loss: 0.0449, lr: 0.000012, batch_cost: 1.2369, reader_cost: 0.00022, ips: 1.6169 samples/sec | ETA 11:18:15 2021-08-23 09:56:02 [INFO] [TRAIN] epoch: 342, iter: 127110/160000, loss: 0.0557, lr: 0.000012, batch_cost: 1.2235, reader_cost: 0.00022, ips: 1.6347 samples/sec | ETA 11:10:39 2021-08-23 09:56:15 [INFO] [TRAIN] epoch: 342, iter: 127120/160000, loss: 0.0593, lr: 0.000012, batch_cost: 1.2445, reader_cost: 0.00023, ips: 1.6070 samples/sec | ETA 11:21:59 2021-08-23 09:56:27 [INFO] [TRAIN] epoch: 342, iter: 127130/160000, loss: 0.0482, lr: 0.000012, batch_cost: 1.2237, reader_cost: 0.00023, ips: 1.6344 samples/sec | ETA 11:10:23 2021-08-23 09:56:39 [INFO] [TRAIN] epoch: 342, iter: 127140/160000, loss: 0.0481, lr: 0.000012, batch_cost: 1.2143, reader_cost: 0.00022, ips: 1.6470 samples/sec | ETA 11:05:02 2021-08-23 09:56:52 [INFO] [TRAIN] epoch: 342, iter: 127150/160000, loss: 0.0534, lr: 0.000012, batch_cost: 1.2306, reader_cost: 0.00022, ips: 1.6252 samples/sec | ETA 11:13:45 2021-08-23 09:57:04 [INFO] [TRAIN] epoch: 342, iter: 127160/160000, loss: 0.0436, lr: 0.000012, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6391 samples/sec | ETA 11:07:51 2021-08-23 09:57:16 [INFO] [TRAIN] epoch: 342, iter: 127170/160000, loss: 0.0481, lr: 0.000012, batch_cost: 1.2348, reader_cost: 0.00026, ips: 1.6197 samples/sec | ETA 11:15:37 2021-08-23 09:57:28 [INFO] [TRAIN] epoch: 342, iter: 127180/160000, loss: 0.0459, lr: 0.000012, batch_cost: 1.2208, reader_cost: 0.00023, ips: 1.6382 samples/sec | ETA 11:07:47 2021-08-23 09:57:41 [INFO] [TRAIN] epoch: 342, iter: 127190/160000, loss: 0.0576, lr: 0.000012, batch_cost: 1.2162, reader_cost: 0.00020, ips: 1.6445 samples/sec | ETA 11:05:03 2021-08-23 09:57:53 [INFO] [TRAIN] epoch: 342, iter: 127200/160000, loss: 0.0620, lr: 0.000012, batch_cost: 1.2422, reader_cost: 0.00023, ips: 1.6101 samples/sec | ETA 11:19:03 2021-08-23 09:58:05 [INFO] [TRAIN] epoch: 342, iter: 127210/160000, loss: 0.0470, lr: 0.000012, batch_cost: 1.2334, reader_cost: 0.00021, ips: 1.6215 samples/sec | ETA 11:14:03 2021-08-23 09:58:17 [INFO] [TRAIN] epoch: 342, iter: 127220/160000, loss: 0.0502, lr: 0.000012, batch_cost: 1.2124, reader_cost: 0.00016, ips: 1.6496 samples/sec | ETA 11:02:24 2021-08-23 09:58:32 [INFO] [TRAIN] epoch: 343, iter: 127230/160000, loss: 0.0514, lr: 0.000012, batch_cost: 1.4904, reader_cost: 0.22353, ips: 1.3419 samples/sec | ETA 13:34:01 2021-08-23 09:58:44 [INFO] [TRAIN] epoch: 343, iter: 127240/160000, loss: 0.0523, lr: 0.000012, batch_cost: 1.2180, reader_cost: 0.00082, ips: 1.6420 samples/sec | ETA 11:05:02 2021-08-23 09:58:57 [INFO] [TRAIN] epoch: 343, iter: 127250/160000, loss: 0.0477, lr: 0.000012, batch_cost: 1.2127, reader_cost: 0.00022, ips: 1.6492 samples/sec | ETA 11:01:57 2021-08-23 09:59:09 [INFO] [TRAIN] epoch: 343, iter: 127260/160000, loss: 0.0521, lr: 0.000012, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6325 samples/sec | ETA 11:08:29 2021-08-23 09:59:21 [INFO] [TRAIN] epoch: 343, iter: 127270/160000, loss: 0.0481, lr: 0.000012, batch_cost: 1.2265, reader_cost: 0.00021, ips: 1.6307 samples/sec | ETA 11:09:03 2021-08-23 09:59:33 [INFO] [TRAIN] epoch: 343, iter: 127280/160000, loss: 0.0633, lr: 0.000012, batch_cost: 1.2229, reader_cost: 0.00023, ips: 1.6355 samples/sec | ETA 11:06:51 2021-08-23 09:59:46 [INFO] [TRAIN] epoch: 343, iter: 127290/160000, loss: 0.0528, lr: 0.000012, batch_cost: 1.2356, reader_cost: 0.00024, ips: 1.6187 samples/sec | ETA 11:13:36 2021-08-23 09:59:58 [INFO] [TRAIN] epoch: 343, iter: 127300/160000, loss: 0.0562, lr: 0.000012, batch_cost: 1.2390, reader_cost: 0.00023, ips: 1.6142 samples/sec | ETA 11:15:15 2021-08-23 10:00:10 [INFO] [TRAIN] epoch: 343, iter: 127310/160000, loss: 0.0404, lr: 0.000012, batch_cost: 1.2302, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 11:10:16 2021-08-23 10:00:23 [INFO] [TRAIN] epoch: 343, iter: 127320/160000, loss: 0.0457, lr: 0.000012, batch_cost: 1.2376, reader_cost: 0.00022, ips: 1.6160 samples/sec | ETA 11:14:04 2021-08-23 10:00:35 [INFO] [TRAIN] epoch: 343, iter: 127330/160000, loss: 0.0485, lr: 0.000012, batch_cost: 1.2389, reader_cost: 0.00022, ips: 1.6144 samples/sec | ETA 11:14:33 2021-08-23 10:00:48 [INFO] [TRAIN] epoch: 343, iter: 127340/160000, loss: 0.0445, lr: 0.000012, batch_cost: 1.2362, reader_cost: 0.00023, ips: 1.6179 samples/sec | ETA 11:12:53 2021-08-23 10:01:00 [INFO] [TRAIN] epoch: 343, iter: 127350/160000, loss: 0.0615, lr: 0.000012, batch_cost: 1.2121, reader_cost: 0.00022, ips: 1.6500 samples/sec | ETA 10:59:35 2021-08-23 10:01:12 [INFO] [TRAIN] epoch: 343, iter: 127360/160000, loss: 0.0529, lr: 0.000012, batch_cost: 1.2266, reader_cost: 0.00023, ips: 1.6305 samples/sec | ETA 11:07:17 2021-08-23 10:01:24 [INFO] [TRAIN] epoch: 343, iter: 127370/160000, loss: 0.0552, lr: 0.000012, batch_cost: 1.2405, reader_cost: 0.00022, ips: 1.6123 samples/sec | ETA 11:14:36 2021-08-23 10:01:36 [INFO] [TRAIN] epoch: 343, iter: 127380/160000, loss: 0.0541, lr: 0.000012, batch_cost: 1.2085, reader_cost: 0.00020, ips: 1.6550 samples/sec | ETA 10:57:00 2021-08-23 10:01:49 [INFO] [TRAIN] epoch: 343, iter: 127390/160000, loss: 0.0544, lr: 0.000012, batch_cost: 1.2229, reader_cost: 0.00021, ips: 1.6354 samples/sec | ETA 11:04:39 2021-08-23 10:02:01 [INFO] [TRAIN] epoch: 343, iter: 127400/160000, loss: 0.0455, lr: 0.000012, batch_cost: 1.2104, reader_cost: 0.00020, ips: 1.6524 samples/sec | ETA 10:57:38 2021-08-23 10:02:13 [INFO] [TRAIN] epoch: 343, iter: 127410/160000, loss: 0.0422, lr: 0.000012, batch_cost: 1.2357, reader_cost: 0.00022, ips: 1.6186 samples/sec | ETA 11:11:09 2021-08-23 10:02:25 [INFO] [TRAIN] epoch: 343, iter: 127420/160000, loss: 0.0524, lr: 0.000012, batch_cost: 1.2343, reader_cost: 0.00023, ips: 1.6204 samples/sec | ETA 11:10:12 2021-08-23 10:02:38 [INFO] [TRAIN] epoch: 343, iter: 127430/160000, loss: 0.0492, lr: 0.000012, batch_cost: 1.2315, reader_cost: 0.00020, ips: 1.6241 samples/sec | ETA 11:08:29 2021-08-23 10:02:50 [INFO] [TRAIN] epoch: 343, iter: 127440/160000, loss: 0.0480, lr: 0.000012, batch_cost: 1.2200, reader_cost: 0.00022, ips: 1.6394 samples/sec | ETA 11:02:02 2021-08-23 10:03:02 [INFO] [TRAIN] epoch: 343, iter: 127450/160000, loss: 0.0678, lr: 0.000012, batch_cost: 1.2377, reader_cost: 0.00022, ips: 1.6159 samples/sec | ETA 11:11:28 2021-08-23 10:03:14 [INFO] [TRAIN] epoch: 343, iter: 127460/160000, loss: 0.0547, lr: 0.000012, batch_cost: 1.2155, reader_cost: 0.00020, ips: 1.6454 samples/sec | ETA 10:59:13 2021-08-23 10:03:27 [INFO] [TRAIN] epoch: 343, iter: 127470/160000, loss: 0.0567, lr: 0.000012, batch_cost: 1.2275, reader_cost: 0.00022, ips: 1.6294 samples/sec | ETA 11:05:29 2021-08-23 10:03:39 [INFO] [TRAIN] epoch: 343, iter: 127480/160000, loss: 0.0441, lr: 0.000012, batch_cost: 1.2333, reader_cost: 0.00021, ips: 1.6216 samples/sec | ETA 11:08:27 2021-08-23 10:03:51 [INFO] [TRAIN] epoch: 343, iter: 127490/160000, loss: 0.0438, lr: 0.000012, batch_cost: 1.2178, reader_cost: 0.00023, ips: 1.6423 samples/sec | ETA 10:59:51 2021-08-23 10:04:03 [INFO] [TRAIN] epoch: 343, iter: 127500/160000, loss: 0.0529, lr: 0.000012, batch_cost: 1.2213, reader_cost: 0.00022, ips: 1.6376 samples/sec | ETA 11:01:31 2021-08-23 10:04:16 [INFO] [TRAIN] epoch: 343, iter: 127510/160000, loss: 0.0388, lr: 0.000012, batch_cost: 1.2286, reader_cost: 0.00021, ips: 1.6279 samples/sec | ETA 11:05:16 2021-08-23 10:04:28 [INFO] [TRAIN] epoch: 343, iter: 127520/160000, loss: 0.0516, lr: 0.000012, batch_cost: 1.2219, reader_cost: 0.00023, ips: 1.6368 samples/sec | ETA 11:01:27 2021-08-23 10:04:40 [INFO] [TRAIN] epoch: 343, iter: 127530/160000, loss: 0.0492, lr: 0.000012, batch_cost: 1.2225, reader_cost: 0.00025, ips: 1.6359 samples/sec | ETA 11:01:35 2021-08-23 10:04:53 [INFO] [TRAIN] epoch: 343, iter: 127540/160000, loss: 0.0566, lr: 0.000012, batch_cost: 1.2373, reader_cost: 0.00022, ips: 1.6165 samples/sec | ETA 11:09:21 2021-08-23 10:05:05 [INFO] [TRAIN] epoch: 343, iter: 127550/160000, loss: 0.0502, lr: 0.000012, batch_cost: 1.2361, reader_cost: 0.00022, ips: 1.6179 samples/sec | ETA 11:08:32 2021-08-23 10:05:17 [INFO] [TRAIN] epoch: 343, iter: 127560/160000, loss: 0.0564, lr: 0.000012, batch_cost: 1.2211, reader_cost: 0.00022, ips: 1.6378 samples/sec | ETA 11:00:13 2021-08-23 10:05:29 [INFO] [TRAIN] epoch: 343, iter: 127570/160000, loss: 0.0488, lr: 0.000012, batch_cost: 1.2300, reader_cost: 0.00025, ips: 1.6260 samples/sec | ETA 11:04:49 2021-08-23 10:05:42 [INFO] [TRAIN] epoch: 343, iter: 127580/160000, loss: 0.0483, lr: 0.000012, batch_cost: 1.2215, reader_cost: 0.00023, ips: 1.6373 samples/sec | ETA 11:00:00 2021-08-23 10:05:54 [INFO] [TRAIN] epoch: 343, iter: 127590/160000, loss: 0.0465, lr: 0.000012, batch_cost: 1.1959, reader_cost: 0.00017, ips: 1.6723 samples/sec | ETA 10:46:00 2021-08-23 10:06:08 [INFO] [TRAIN] epoch: 344, iter: 127600/160000, loss: 0.0560, lr: 0.000012, batch_cost: 1.4664, reader_cost: 0.23283, ips: 1.3639 samples/sec | ETA 13:11:51 2021-08-23 10:06:21 [INFO] [TRAIN] epoch: 344, iter: 127610/160000, loss: 0.0506, lr: 0.000012, batch_cost: 1.2264, reader_cost: 0.00077, ips: 1.6308 samples/sec | ETA 11:02:03 2021-08-23 10:06:33 [INFO] [TRAIN] epoch: 344, iter: 127620/160000, loss: 0.0457, lr: 0.000012, batch_cost: 1.2358, reader_cost: 0.00023, ips: 1.6184 samples/sec | ETA 11:06:53 2021-08-23 10:06:45 [INFO] [TRAIN] epoch: 344, iter: 127630/160000, loss: 0.0500, lr: 0.000012, batch_cost: 1.2270, reader_cost: 0.00021, ips: 1.6300 samples/sec | ETA 11:01:57 2021-08-23 10:06:58 [INFO] [TRAIN] epoch: 344, iter: 127640/160000, loss: 0.0411, lr: 0.000012, batch_cost: 1.2477, reader_cost: 0.00023, ips: 1.6030 samples/sec | ETA 11:12:54 2021-08-23 10:07:10 [INFO] [TRAIN] epoch: 344, iter: 127650/160000, loss: 0.0515, lr: 0.000012, batch_cost: 1.2299, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 11:03:06 2021-08-23 10:07:22 [INFO] [TRAIN] epoch: 344, iter: 127660/160000, loss: 0.0404, lr: 0.000012, batch_cost: 1.2296, reader_cost: 0.00021, ips: 1.6265 samples/sec | ETA 11:02:46 2021-08-23 10:07:34 [INFO] [TRAIN] epoch: 344, iter: 127670/160000, loss: 0.0588, lr: 0.000012, batch_cost: 1.2165, reader_cost: 0.00023, ips: 1.6440 samples/sec | ETA 10:55:30 2021-08-23 10:07:47 [INFO] [TRAIN] epoch: 344, iter: 127680/160000, loss: 0.0470, lr: 0.000012, batch_cost: 1.2350, reader_cost: 0.00022, ips: 1.6194 samples/sec | ETA 11:05:16 2021-08-23 10:07:59 [INFO] [TRAIN] epoch: 344, iter: 127690/160000, loss: 0.0575, lr: 0.000012, batch_cost: 1.2450, reader_cost: 0.00024, ips: 1.6065 samples/sec | ETA 11:10:24 2021-08-23 10:08:12 [INFO] [TRAIN] epoch: 344, iter: 127700/160000, loss: 0.0549, lr: 0.000012, batch_cost: 1.2553, reader_cost: 0.00022, ips: 1.5933 samples/sec | ETA 11:15:44 2021-08-23 10:08:24 [INFO] [TRAIN] epoch: 344, iter: 127710/160000, loss: 0.0519, lr: 0.000012, batch_cost: 1.2195, reader_cost: 0.00022, ips: 1.6399 samples/sec | ETA 10:56:19 2021-08-23 10:08:36 [INFO] [TRAIN] epoch: 344, iter: 127720/160000, loss: 0.0493, lr: 0.000012, batch_cost: 1.2239, reader_cost: 0.00021, ips: 1.6342 samples/sec | ETA 10:58:26 2021-08-23 10:08:48 [INFO] [TRAIN] epoch: 344, iter: 127730/160000, loss: 0.0518, lr: 0.000012, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 10:56:56 2021-08-23 10:09:01 [INFO] [TRAIN] epoch: 344, iter: 127740/160000, loss: 0.0546, lr: 0.000012, batch_cost: 1.2349, reader_cost: 0.00023, ips: 1.6195 samples/sec | ETA 11:03:59 2021-08-23 10:09:13 [INFO] [TRAIN] epoch: 344, iter: 127750/160000, loss: 0.0591, lr: 0.000012, batch_cost: 1.2391, reader_cost: 0.00025, ips: 1.6141 samples/sec | ETA 11:06:01 2021-08-23 10:09:25 [INFO] [TRAIN] epoch: 344, iter: 127760/160000, loss: 0.0511, lr: 0.000012, batch_cost: 1.2132, reader_cost: 0.00023, ips: 1.6485 samples/sec | ETA 10:51:53 2021-08-23 10:09:38 [INFO] [TRAIN] epoch: 344, iter: 127770/160000, loss: 0.0573, lr: 0.000012, batch_cost: 1.2254, reader_cost: 0.00024, ips: 1.6322 samples/sec | ETA 10:58:13 2021-08-23 10:09:50 [INFO] [TRAIN] epoch: 344, iter: 127780/160000, loss: 0.0634, lr: 0.000012, batch_cost: 1.2156, reader_cost: 0.00022, ips: 1.6452 samples/sec | ETA 10:52:47 2021-08-23 10:10:02 [INFO] [TRAIN] epoch: 344, iter: 127790/160000, loss: 0.0494, lr: 0.000012, batch_cost: 1.2151, reader_cost: 0.00023, ips: 1.6460 samples/sec | ETA 10:52:16 2021-08-23 10:10:14 [INFO] [TRAIN] epoch: 344, iter: 127800/160000, loss: 0.0452, lr: 0.000012, batch_cost: 1.2276, reader_cost: 0.00022, ips: 1.6292 samples/sec | ETA 10:58:49 2021-08-23 10:10:26 [INFO] [TRAIN] epoch: 344, iter: 127810/160000, loss: 0.0452, lr: 0.000012, batch_cost: 1.2291, reader_cost: 0.00021, ips: 1.6272 samples/sec | ETA 10:59:25 2021-08-23 10:10:39 [INFO] [TRAIN] epoch: 344, iter: 127820/160000, loss: 0.0468, lr: 0.000012, batch_cost: 1.2162, reader_cost: 0.00024, ips: 1.6444 samples/sec | ETA 10:52:17 2021-08-23 10:10:51 [INFO] [TRAIN] epoch: 344, iter: 127830/160000, loss: 0.0447, lr: 0.000012, batch_cost: 1.2302, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 10:59:36 2021-08-23 10:11:03 [INFO] [TRAIN] epoch: 344, iter: 127840/160000, loss: 0.0422, lr: 0.000012, batch_cost: 1.2187, reader_cost: 0.00023, ips: 1.6410 samples/sec | ETA 10:53:14 2021-08-23 10:11:15 [INFO] [TRAIN] epoch: 344, iter: 127850/160000, loss: 0.0576, lr: 0.000012, batch_cost: 1.2259, reader_cost: 0.00022, ips: 1.6315 samples/sec | ETA 10:56:51 2021-08-23 10:11:28 [INFO] [TRAIN] epoch: 344, iter: 127860/160000, loss: 0.0500, lr: 0.000012, batch_cost: 1.2277, reader_cost: 0.00022, ips: 1.6291 samples/sec | ETA 10:57:37 2021-08-23 10:11:40 [INFO] [TRAIN] epoch: 344, iter: 127870/160000, loss: 0.0536, lr: 0.000012, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6339 samples/sec | ETA 10:55:29 2021-08-23 10:11:52 [INFO] [TRAIN] epoch: 344, iter: 127880/160000, loss: 0.0488, lr: 0.000012, batch_cost: 1.2382, reader_cost: 0.00021, ips: 1.6152 samples/sec | ETA 11:02:52 2021-08-23 10:12:05 [INFO] [TRAIN] epoch: 344, iter: 127890/160000, loss: 0.0489, lr: 0.000012, batch_cost: 1.2256, reader_cost: 0.00022, ips: 1.6319 samples/sec | ETA 10:55:53 2021-08-23 10:12:17 [INFO] [TRAIN] epoch: 344, iter: 127900/160000, loss: 0.0484, lr: 0.000012, batch_cost: 1.2264, reader_cost: 0.00022, ips: 1.6308 samples/sec | ETA 10:56:07 2021-08-23 10:12:29 [INFO] [TRAIN] epoch: 344, iter: 127910/160000, loss: 0.0409, lr: 0.000012, batch_cost: 1.2319, reader_cost: 0.00024, ips: 1.6235 samples/sec | ETA 10:58:52 2021-08-23 10:12:41 [INFO] [TRAIN] epoch: 344, iter: 127920/160000, loss: 0.0412, lr: 0.000012, batch_cost: 1.2161, reader_cost: 0.00023, ips: 1.6446 samples/sec | ETA 10:50:12 2021-08-23 10:12:54 [INFO] [TRAIN] epoch: 344, iter: 127930/160000, loss: 0.0463, lr: 0.000012, batch_cost: 1.2317, reader_cost: 0.00023, ips: 1.6238 samples/sec | ETA 10:58:20 2021-08-23 10:13:06 [INFO] [TRAIN] epoch: 344, iter: 127940/160000, loss: 0.0521, lr: 0.000012, batch_cost: 1.2178, reader_cost: 0.00021, ips: 1.6423 samples/sec | ETA 10:50:43 2021-08-23 10:13:18 [INFO] [TRAIN] epoch: 344, iter: 127950/160000, loss: 0.0515, lr: 0.000012, batch_cost: 1.2173, reader_cost: 0.00023, ips: 1.6430 samples/sec | ETA 10:50:14 2021-08-23 10:13:30 [INFO] [TRAIN] epoch: 344, iter: 127960/160000, loss: 0.0519, lr: 0.000012, batch_cost: 1.2098, reader_cost: 0.00019, ips: 1.6532 samples/sec | ETA 10:46:00 2021-08-23 10:13:45 [INFO] [TRAIN] epoch: 345, iter: 127970/160000, loss: 0.0547, lr: 0.000012, batch_cost: 1.4603, reader_cost: 0.22441, ips: 1.3695 samples/sec | ETA 12:59:34 2021-08-23 10:13:57 [INFO] [TRAIN] epoch: 345, iter: 127980/160000, loss: 0.0583, lr: 0.000012, batch_cost: 1.2287, reader_cost: 0.00078, ips: 1.6277 samples/sec | ETA 10:55:42 2021-08-23 10:14:09 [INFO] [TRAIN] epoch: 345, iter: 127990/160000, loss: 0.0567, lr: 0.000012, batch_cost: 1.2315, reader_cost: 0.00022, ips: 1.6241 samples/sec | ETA 10:56:59 2021-08-23 10:14:22 [INFO] [TRAIN] epoch: 345, iter: 128000/160000, loss: 0.0541, lr: 0.000012, batch_cost: 1.2266, reader_cost: 0.00021, ips: 1.6305 samples/sec | ETA 10:54:11 2021-08-23 10:14:22 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 6:55 - batch_cost: 3.3469 - reader cost: 0.3854 2/125 [..............................] - ETA: 5:43 - batch_cost: 2.7956 - reader cost: 0.1928 3/125 [..............................] - ETA: 5:20 - batch_cost: 2.6286 - reader cost: 0.1286 4/125 [..............................] - ETA: 5:02 - batch_cost: 2.4974 - reader cost: 0.0965 5/125 [>.............................] - ETA: 4:50 - batch_cost: 2.4243 - reader cost: 0.0773 6/125 [>.............................] - ETA: 4:42 - batch_cost: 2.3730 - reader cost: 0.0644 7/125 [>.............................] - ETA: 4:36 - batch_cost: 2.3395 - reader cost: 0.0552 8/125 [>.............................] - ETA: 4:29 - batch_cost: 2.3050 - reader cost: 0.0484 9/125 [=>............................] - ETA: 4:24 - batch_cost: 2.2828 - reader cost: 0.0430 10/125 [=>............................] - ETA: 4:20 - batch_cost: 2.2663 - reader cost: 0.0387 11/125 [=>............................] - ETA: 4:16 - batch_cost: 2.2518 - reader cost: 0.0352 12/125 [=>............................] - ETA: 4:13 - batch_cost: 2.2393 - reader cost: 0.0323 13/125 [==>...........................] - ETA: 4:09 - batch_cost: 2.2288 - reader cost: 0.0298 14/125 [==>...........................] - ETA: 4:06 - batch_cost: 2.2183 - reader cost: 0.0277 15/125 [==>...........................] - ETA: 4:03 - batch_cost: 2.2115 - reader cost: 0.0259 16/125 [==>...........................] - ETA: 4:00 - batch_cost: 2.2048 - reader cost: 0.0243 17/125 [===>..........................] - ETA: 3:57 - batch_cost: 2.1990 - reader cost: 0.0229 18/125 [===>..........................] - ETA: 3:54 - batch_cost: 2.1946 - reader cost: 0.0216 19/125 [===>..........................] - ETA: 3:52 - batch_cost: 2.1911 - reader cost: 0.0205 20/125 [===>..........................] - ETA: 3:49 - batch_cost: 2.1866 - reader cost: 0.0195 21/125 [====>.........................] - ETA: 3:47 - batch_cost: 2.1829 - reader cost: 0.0185 22/125 [====>.........................] - ETA: 3:44 - batch_cost: 2.1817 - reader cost: 0.0177 23/125 [====>.........................] - ETA: 3:42 - batch_cost: 2.1795 - reader cost: 0.0169 24/125 [====>.........................] - ETA: 3:39 - batch_cost: 2.1757 - reader cost: 0.0163 25/125 [=====>........................] - ETA: 3:37 - batch_cost: 2.1740 - reader cost: 0.0156 26/125 [=====>........................] - ETA: 3:35 - batch_cost: 2.1724 - reader cost: 0.0150 27/125 [=====>........................] - ETA: 3:32 - batch_cost: 2.1711 - reader cost: 0.0145 28/125 [=====>........................] - ETA: 3:30 - batch_cost: 2.1655 - reader cost: 0.0140 29/125 [=====>........................] - ETA: 3:27 - batch_cost: 2.1650 - reader cost: 0.0135 30/125 [======>.......................] - ETA: 3:25 - batch_cost: 2.1620 - reader cost: 0.0130 31/125 [======>.......................] - ETA: 3:23 - batch_cost: 2.1599 - reader cost: 0.0126 32/125 [======>.......................] - ETA: 3:20 - batch_cost: 2.1572 - reader cost: 0.0122 33/125 [======>.......................] - ETA: 3:18 - batch_cost: 2.1561 - reader cost: 0.0119 34/125 [=======>......................] - ETA: 3:16 - batch_cost: 2.1544 - reader cost: 0.0115 35/125 [=======>......................] - ETA: 3:13 - batch_cost: 2.1531 - reader cost: 0.0112 36/125 [=======>......................] - ETA: 3:11 - batch_cost: 2.1499 - reader cost: 0.0109 37/125 [=======>......................] - ETA: 3:09 - batch_cost: 2.1476 - reader cost: 0.0106 38/125 [========>.....................] - ETA: 3:06 - batch_cost: 2.1475 - reader cost: 0.0103 39/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1451 - reader cost: 0.0101 40/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1428 - reader cost: 0.0098 41/125 [========>.....................] - ETA: 2:59 - batch_cost: 2.1412 - reader cost: 0.0096 42/125 [=========>....................] - ETA: 2:57 - batch_cost: 2.1398 - reader cost: 0.0094 43/125 [=========>....................] - ETA: 2:55 - batch_cost: 2.1380 - reader cost: 0.0092 44/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1365 - reader cost: 0.0090 45/125 [=========>....................] - ETA: 2:50 - batch_cost: 2.1348 - reader cost: 0.0088 46/125 [==========>...................] - ETA: 2:48 - batch_cost: 2.1330 - reader cost: 0.0086 47/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1310 - reader cost: 0.0084 48/125 [==========>...................] - ETA: 2:43 - batch_cost: 2.1286 - reader cost: 0.0082 49/125 [==========>...................] - ETA: 2:41 - batch_cost: 2.1279 - reader cost: 0.0081 50/125 [===========>..................] - ETA: 2:39 - batch_cost: 2.1279 - reader cost: 0.0079 51/125 [===========>..................] - ETA: 2:37 - batch_cost: 2.1273 - reader cost: 0.0078 52/125 [===========>..................] - ETA: 2:35 - batch_cost: 2.1257 - reader cost: 0.0076 53/125 [===========>..................] - ETA: 2:32 - batch_cost: 2.1245 - reader cost: 0.0075 54/125 [===========>..................] - ETA: 2:30 - batch_cost: 2.1237 - reader cost: 0.0073 55/125 [============>.................] - ETA: 2:28 - batch_cost: 2.1216 - reader cost: 0.0072 56/125 [============>.................] - ETA: 2:26 - batch_cost: 2.1217 - reader cost: 0.0071 57/125 [============>.................] - ETA: 2:24 - batch_cost: 2.1211 - reader cost: 0.0070 58/125 [============>.................] - ETA: 2:22 - batch_cost: 2.1208 - reader cost: 0.0068 59/125 [=============>................] - ETA: 2:19 - batch_cost: 2.1206 - reader cost: 0.0067 60/125 [=============>................] - ETA: 2:17 - batch_cost: 2.1194 - reader cost: 0.0066 61/125 [=============>................] - ETA: 2:15 - batch_cost: 2.1184 - reader cost: 0.0065 62/125 [=============>................] - ETA: 2:13 - batch_cost: 2.1177 - reader cost: 0.0064 63/125 [==============>...............] - ETA: 2:11 - batch_cost: 2.1174 - reader cost: 0.0063 64/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.1167 - reader cost: 0.0062 65/125 [==============>...............] - ETA: 2:06 - batch_cost: 2.1164 - reader cost: 0.0061 66/125 [==============>...............] - ETA: 2:04 - batch_cost: 2.1162 - reader cost: 0.0060 67/125 [===============>..............] - ETA: 2:02 - batch_cost: 2.1158 - reader cost: 0.0059 68/125 [===============>..............] - ETA: 2:00 - batch_cost: 2.1160 - reader cost: 0.0059 69/125 [===============>..............] - ETA: 1:58 - batch_cost: 2.1156 - reader cost: 0.0058 70/125 [===============>..............] - ETA: 1:56 - batch_cost: 2.1156 - reader cost: 0.0057 71/125 [================>.............] - ETA: 1:54 - batch_cost: 2.1151 - reader cost: 0.0056 72/125 [================>.............] - ETA: 1:52 - batch_cost: 2.1149 - reader cost: 0.0055 73/125 [================>.............] - ETA: 1:49 - batch_cost: 2.1149 - reader cost: 0.0055 74/125 [================>.............] - ETA: 1:47 - batch_cost: 2.1145 - reader cost: 0.0054 75/125 [=================>............] - ETA: 1:45 - batch_cost: 2.1144 - reader cost: 0.0053 76/125 [=================>............] - ETA: 1:43 - batch_cost: 2.1141 - reader cost: 0.0053 77/125 [=================>............] - ETA: 1:41 - batch_cost: 2.1136 - reader cost: 0.0052 78/125 [=================>............] - ETA: 1:39 - batch_cost: 2.1136 - reader cost: 0.0051 79/125 [=================>............] - ETA: 1:37 - batch_cost: 2.1133 - reader cost: 0.0051 80/125 [==================>...........] - ETA: 1:35 - batch_cost: 2.1129 - reader cost: 0.0050 81/125 [==================>...........] - ETA: 1:32 - batch_cost: 2.1123 - reader cost: 0.0050 82/125 [==================>...........] - ETA: 1:30 - batch_cost: 2.1119 - reader cost: 0.0049 83/125 [==================>...........] - ETA: 1:28 - batch_cost: 2.1119 - reader cost: 0.0048 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1120 - reader cost: 0.0048 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1117 - reader cost: 0.0047 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1114 - reader cost: 0.0047 87/125 [===================>..........] - ETA: 1:20 - batch_cost: 2.1113 - reader cost: 0.0046 88/125 [====================>.........] - ETA: 1:18 - batch_cost: 2.1099 - reader cost: 0.0046 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.1095 - reader cost: 0.0045 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.1087 - reader cost: 0.0045 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.1077 - reader cost: 0.0044 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1072 - reader cost: 0.0044 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1066 - reader cost: 0.0043 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1055 - reader cost: 0.0043 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1050 - reader cost: 0.0043 96/125 [======================>.......] - ETA: 1:01 - batch_cost: 2.1040 - reader cost: 0.0042 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.1030 - reader cost: 0.0042  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.1022 - reader cost: 0.0041 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.1012 - reader cost: 0.0041 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.1036 - reader cost: 0.0040 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.1024 - reader cost: 0.0040 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1016 - reader cost: 0.0040 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1009 - reader cost: 0.0039 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1003 - reader cost: 0.0039 105/125 [========================>.....] - ETA: 41s - batch_cost: 2.0997 - reader cost: 0.0039 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.0992 - reader cost: 0.0038 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.0990 - reader cost: 0.0038 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.0973 - reader cost: 0.0038 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.0966 - reader cost: 0.0037 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.0955 - reader cost: 0.0037 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.0941 - reader cost: 0.0037 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.0935 - reader cost: 0.0036 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.0929 - reader cost: 0.0036 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.0919 - reader cost: 0.0036 115/125 [==========================>...] - ETA: 20s - batch_cost: 2.0910 - reader cost: 0.0035 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.0897 - reader cost: 0.0035 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.0895 - reader cost: 0.0035 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.0898 - reader cost: 0.0035 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0893 - reader cost: 0.0034 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0891 - reader cost: 0.0034 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0887 - reader cost: 0.0034  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0885 - reader cost: 0.0034 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0882 - reader cost: 0.0033 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0877 - reader cost: 0.0033 125/125 [==============================] - 261s 2s/step - batch_cost: 2.0871 - reader cost: 0.0033 2021-08-23 10:18:43 [INFO] [EVAL] #Images: 500 mIoU: 0.8225 Acc: 0.9674 Kappa: 0.9576 2021-08-23 10:18:43 [INFO] [EVAL] Class IoU: [0.9846 0.8736 0.9373 0.6817 0.6572 0.6983 0.7574 0.8262 0.9321 0.6615 0.9571 0.8485 0.6706 0.9596 0.8875 0.9137 0.8618 0.7172 0.8025] 2021-08-23 10:18:43 [INFO] [EVAL] Class Acc: [0.9927 0.9284 0.9647 0.8913 0.8735 0.847 0.8706 0.9168 0.9586 0.8496 0.9736 0.9095 0.8095 0.9766 0.9629 0.9546 0.9628 0.8507 0.8758] 2021-08-23 10:18:45 [INFO] [EVAL] The model with the best validation mIoU (0.8245) was saved at iter 116000. 2021-08-23 10:18:57 [INFO] [TRAIN] epoch: 345, iter: 128010/160000, loss: 0.0506, lr: 0.000012, batch_cost: 1.2347, reader_cost: 0.00073, ips: 1.6199 samples/sec | ETA 10:58:16 2021-08-23 10:19:10 [INFO] [TRAIN] epoch: 345, iter: 128020/160000, loss: 0.0546, lr: 0.000012, batch_cost: 1.2171, reader_cost: 0.00079, ips: 1.6432 samples/sec | ETA 10:48:44 2021-08-23 10:19:22 [INFO] [TRAIN] epoch: 345, iter: 128030/160000, loss: 0.0547, lr: 0.000012, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6326 samples/sec | ETA 10:52:45 2021-08-23 10:19:34 [INFO] [TRAIN] epoch: 345, iter: 128040/160000, loss: 0.0496, lr: 0.000012, batch_cost: 1.2277, reader_cost: 0.00021, ips: 1.6290 samples/sec | ETA 10:53:58 2021-08-23 10:19:47 [INFO] [TRAIN] epoch: 345, iter: 128050/160000, loss: 0.0422, lr: 0.000012, batch_cost: 1.2498, reader_cost: 0.00022, ips: 1.6003 samples/sec | ETA 11:05:29 2021-08-23 10:19:59 [INFO] [TRAIN] epoch: 345, iter: 128060/160000, loss: 0.0574, lr: 0.000012, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6384 samples/sec | ETA 10:49:50 2021-08-23 10:20:11 [INFO] [TRAIN] epoch: 345, iter: 128070/160000, loss: 0.0433, lr: 0.000012, batch_cost: 1.2325, reader_cost: 0.00021, ips: 1.6228 samples/sec | ETA 10:55:52 2021-08-23 10:20:23 [INFO] [TRAIN] epoch: 345, iter: 128080/160000, loss: 0.0568, lr: 0.000012, batch_cost: 1.2106, reader_cost: 0.00022, ips: 1.6521 samples/sec | ETA 10:44:02 2021-08-23 10:20:35 [INFO] [TRAIN] epoch: 345, iter: 128090/160000, loss: 0.0481, lr: 0.000012, batch_cost: 1.2227, reader_cost: 0.00023, ips: 1.6357 samples/sec | ETA 10:50:17 2021-08-23 10:20:48 [INFO] [TRAIN] epoch: 345, iter: 128100/160000, loss: 0.0489, lr: 0.000012, batch_cost: 1.2229, reader_cost: 0.00022, ips: 1.6355 samples/sec | ETA 10:50:10 2021-08-23 10:21:00 [INFO] [TRAIN] epoch: 345, iter: 128110/160000, loss: 0.0485, lr: 0.000012, batch_cost: 1.2155, reader_cost: 0.00021, ips: 1.6454 samples/sec | ETA 10:46:02 2021-08-23 10:21:12 [INFO] [TRAIN] epoch: 345, iter: 128120/160000, loss: 0.0498, lr: 0.000012, batch_cost: 1.2181, reader_cost: 0.00023, ips: 1.6419 samples/sec | ETA 10:47:13 2021-08-23 10:21:24 [INFO] [TRAIN] epoch: 345, iter: 128130/160000, loss: 0.0547, lr: 0.000012, batch_cost: 1.2296, reader_cost: 0.00021, ips: 1.6265 samples/sec | ETA 10:53:07 2021-08-23 10:21:37 [INFO] [TRAIN] epoch: 345, iter: 128140/160000, loss: 0.0472, lr: 0.000012, batch_cost: 1.2174, reader_cost: 0.00022, ips: 1.6429 samples/sec | ETA 10:46:25 2021-08-23 10:21:49 [INFO] [TRAIN] epoch: 345, iter: 128150/160000, loss: 0.0476, lr: 0.000012, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6318 samples/sec | ETA 10:50:37 2021-08-23 10:22:01 [INFO] [TRAIN] epoch: 345, iter: 128160/160000, loss: 0.0471, lr: 0.000012, batch_cost: 1.2127, reader_cost: 0.00021, ips: 1.6492 samples/sec | ETA 10:43:32 2021-08-23 10:22:13 [INFO] [TRAIN] epoch: 345, iter: 128170/160000, loss: 0.0554, lr: 0.000012, batch_cost: 1.2253, reader_cost: 0.00022, ips: 1.6322 samples/sec | ETA 10:50:02 2021-08-23 10:22:25 [INFO] [TRAIN] epoch: 345, iter: 128180/160000, loss: 0.0415, lr: 0.000012, batch_cost: 1.2291, reader_cost: 0.00022, ips: 1.6273 samples/sec | ETA 10:51:48 2021-08-23 10:22:38 [INFO] [TRAIN] epoch: 345, iter: 128190/160000, loss: 0.0355, lr: 0.000012, batch_cost: 1.2227, reader_cost: 0.00021, ips: 1.6357 samples/sec | ETA 10:48:14 2021-08-23 10:22:50 [INFO] [TRAIN] epoch: 345, iter: 128200/160000, loss: 0.0572, lr: 0.000012, batch_cost: 1.2292, reader_cost: 0.00021, ips: 1.6271 samples/sec | ETA 10:51:28 2021-08-23 10:23:02 [INFO] [TRAIN] epoch: 345, iter: 128210/160000, loss: 0.0527, lr: 0.000012, batch_cost: 1.2242, reader_cost: 0.00021, ips: 1.6337 samples/sec | ETA 10:48:38 2021-08-23 10:23:14 [INFO] [TRAIN] epoch: 345, iter: 128220/160000, loss: 0.0501, lr: 0.000012, batch_cost: 1.2167, reader_cost: 0.00020, ips: 1.6438 samples/sec | ETA 10:44:27 2021-08-23 10:23:27 [INFO] [TRAIN] epoch: 345, iter: 128230/160000, loss: 0.0585, lr: 0.000012, batch_cost: 1.2764, reader_cost: 0.00023, ips: 1.5669 samples/sec | ETA 11:15:52 2021-08-23 10:23:40 [INFO] [TRAIN] epoch: 345, iter: 128240/160000, loss: 0.0506, lr: 0.000012, batch_cost: 1.3043, reader_cost: 0.00022, ips: 1.5334 samples/sec | ETA 11:30:24 2021-08-23 10:23:55 [INFO] [TRAIN] epoch: 345, iter: 128250/160000, loss: 0.0505, lr: 0.000012, batch_cost: 1.4989, reader_cost: 0.00023, ips: 1.3343 samples/sec | ETA 13:13:09 2021-08-23 10:24:07 [INFO] [TRAIN] epoch: 345, iter: 128260/160000, loss: 0.0591, lr: 0.000012, batch_cost: 1.2194, reader_cost: 0.00022, ips: 1.6401 samples/sec | ETA 10:45:04 2021-08-23 10:24:20 [INFO] [TRAIN] epoch: 345, iter: 128270/160000, loss: 0.0474, lr: 0.000012, batch_cost: 1.2250, reader_cost: 0.00021, ips: 1.6326 samples/sec | ETA 10:47:50 2021-08-23 10:24:32 [INFO] [TRAIN] epoch: 345, iter: 128280/160000, loss: 0.0537, lr: 0.000012, batch_cost: 1.2220, reader_cost: 0.00023, ips: 1.6366 samples/sec | ETA 10:46:02 2021-08-23 10:24:44 [INFO] [TRAIN] epoch: 345, iter: 128290/160000, loss: 0.0513, lr: 0.000012, batch_cost: 1.2347, reader_cost: 0.00021, ips: 1.6198 samples/sec | ETA 10:52:32 2021-08-23 10:24:56 [INFO] [TRAIN] epoch: 345, iter: 128300/160000, loss: 0.0495, lr: 0.000012, batch_cost: 1.2139, reader_cost: 0.00023, ips: 1.6476 samples/sec | ETA 10:41:21 2021-08-23 10:25:09 [INFO] [TRAIN] epoch: 345, iter: 128310/160000, loss: 0.0586, lr: 0.000012, batch_cost: 1.2180, reader_cost: 0.00023, ips: 1.6420 samples/sec | ETA 10:43:18 2021-08-23 10:25:21 [INFO] [TRAIN] epoch: 345, iter: 128320/160000, loss: 0.0481, lr: 0.000012, batch_cost: 1.2289, reader_cost: 0.00022, ips: 1.6275 samples/sec | ETA 10:48:50 2021-08-23 10:25:33 [INFO] [TRAIN] epoch: 345, iter: 128330/160000, loss: 0.0528, lr: 0.000012, batch_cost: 1.2272, reader_cost: 0.00021, ips: 1.6297 samples/sec | ETA 10:47:45 2021-08-23 10:25:45 [INFO] [TRAIN] epoch: 345, iter: 128340/160000, loss: 0.0493, lr: 0.000012, batch_cost: 1.2011, reader_cost: 0.00015, ips: 1.6651 samples/sec | ETA 10:33:47 2021-08-23 10:26:00 [INFO] [TRAIN] epoch: 346, iter: 128350/160000, loss: 0.0572, lr: 0.000012, batch_cost: 1.4982, reader_cost: 0.20967, ips: 1.3350 samples/sec | ETA 13:10:17 2021-08-23 10:26:12 [INFO] [TRAIN] epoch: 346, iter: 128360/160000, loss: 0.0483, lr: 0.000012, batch_cost: 1.2122, reader_cost: 0.00079, ips: 1.6498 samples/sec | ETA 10:39:15 2021-08-23 10:26:24 [INFO] [TRAIN] epoch: 346, iter: 128370/160000, loss: 0.0549, lr: 0.000012, batch_cost: 1.2138, reader_cost: 0.00024, ips: 1.6478 samples/sec | ETA 10:39:51 2021-08-23 10:26:37 [INFO] [TRAIN] epoch: 346, iter: 128380/160000, loss: 0.0496, lr: 0.000012, batch_cost: 1.2264, reader_cost: 0.00022, ips: 1.6308 samples/sec | ETA 10:46:19 2021-08-23 10:26:49 [INFO] [TRAIN] epoch: 346, iter: 128390/160000, loss: 0.0513, lr: 0.000012, batch_cost: 1.2308, reader_cost: 0.00022, ips: 1.6250 samples/sec | ETA 10:48:25 2021-08-23 10:27:01 [INFO] [TRAIN] epoch: 346, iter: 128400/160000, loss: 0.0468, lr: 0.000012, batch_cost: 1.2261, reader_cost: 0.00023, ips: 1.6311 samples/sec | ETA 10:45:46 2021-08-23 10:27:13 [INFO] [TRAIN] epoch: 346, iter: 128410/160000, loss: 0.0554, lr: 0.000012, batch_cost: 1.2178, reader_cost: 0.00021, ips: 1.6423 samples/sec | ETA 10:41:09 2021-08-23 10:27:25 [INFO] [TRAIN] epoch: 346, iter: 128420/160000, loss: 0.0463, lr: 0.000012, batch_cost: 1.2133, reader_cost: 0.00021, ips: 1.6483 samples/sec | ETA 10:38:37 2021-08-23 10:27:38 [INFO] [TRAIN] epoch: 346, iter: 128430/160000, loss: 0.0476, lr: 0.000012, batch_cost: 1.2253, reader_cost: 0.00020, ips: 1.6322 samples/sec | ETA 10:44:43 2021-08-23 10:27:50 [INFO] [TRAIN] epoch: 346, iter: 128440/160000, loss: 0.0494, lr: 0.000012, batch_cost: 1.2072, 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128500/160000, loss: 0.0456, lr: 0.000012, batch_cost: 1.2183, reader_cost: 0.00021, ips: 1.6417 samples/sec | ETA 10:39:35 2021-08-23 10:29:16 [INFO] [TRAIN] epoch: 346, iter: 128510/160000, loss: 0.0554, lr: 0.000012, batch_cost: 1.2274, reader_cost: 0.00023, ips: 1.6295 samples/sec | ETA 10:44:09 2021-08-23 10:29:28 [INFO] [TRAIN] epoch: 346, iter: 128520/160000, loss: 0.0475, lr: 0.000012, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6384 samples/sec | ETA 10:40:27 2021-08-23 10:29:40 [INFO] [TRAIN] epoch: 346, iter: 128530/160000, loss: 0.0521, lr: 0.000012, batch_cost: 1.2229, reader_cost: 0.00021, ips: 1.6354 samples/sec | ETA 10:41:24 2021-08-23 10:29:52 [INFO] [TRAIN] epoch: 346, iter: 128540/160000, loss: 0.0562, lr: 0.000012, batch_cost: 1.2180, reader_cost: 0.00022, ips: 1.6420 samples/sec | ETA 10:38:39 2021-08-23 10:30:05 [INFO] [TRAIN] epoch: 346, iter: 128550/160000, loss: 0.0553, lr: 0.000012, batch_cost: 1.2317, reader_cost: 0.00023, ips: 1.6237 samples/sec | ETA 10:45:37 2021-08-23 10:30:17 [INFO] [TRAIN] epoch: 346, iter: 128560/160000, loss: 0.0495, lr: 0.000012, batch_cost: 1.2233, reader_cost: 0.00023, ips: 1.6349 samples/sec | ETA 10:41:01 2021-08-23 10:30:29 [INFO] [TRAIN] epoch: 346, iter: 128570/160000, loss: 0.0538, lr: 0.000012, batch_cost: 1.2411, reader_cost: 0.00023, ips: 1.6115 samples/sec | ETA 10:50:08 2021-08-23 10:30:42 [INFO] [TRAIN] epoch: 346, iter: 128580/160000, loss: 0.0483, lr: 0.000012, batch_cost: 1.2337, reader_cost: 0.00022, ips: 1.6211 samples/sec | ETA 10:46:02 2021-08-23 10:30:54 [INFO] [TRAIN] epoch: 346, iter: 128590/160000, loss: 0.0438, lr: 0.000012, batch_cost: 1.2330, reader_cost: 0.00023, ips: 1.6221 samples/sec | ETA 10:45:27 2021-08-23 10:31:06 [INFO] [TRAIN] epoch: 346, iter: 128600/160000, loss: 0.0457, lr: 0.000012, batch_cost: 1.2308, reader_cost: 0.00021, ips: 1.6249 samples/sec | ETA 10:44:08 2021-08-23 10:31:19 [INFO] [TRAIN] epoch: 346, iter: 128610/160000, loss: 0.0481, lr: 0.000012, batch_cost: 1.2381, reader_cost: 0.00021, ips: 1.6154 samples/sec | ETA 10:47:43 2021-08-23 10:31:31 [INFO] [TRAIN] epoch: 346, iter: 128620/160000, loss: 0.0497, lr: 0.000012, batch_cost: 1.2318, reader_cost: 0.00021, ips: 1.6237 samples/sec | ETA 10:44:12 2021-08-23 10:31:43 [INFO] [TRAIN] epoch: 346, iter: 128630/160000, loss: 0.0514, lr: 0.000012, batch_cost: 1.2339, reader_cost: 0.00022, ips: 1.6209 samples/sec | ETA 10:45:07 2021-08-23 10:31:55 [INFO] [TRAIN] epoch: 346, iter: 128640/160000, loss: 0.0602, lr: 0.000012, batch_cost: 1.2153, reader_cost: 0.00022, ips: 1.6457 samples/sec | ETA 10:35:12 2021-08-23 10:32:08 [INFO] [TRAIN] epoch: 346, iter: 128650/160000, loss: 0.0630, lr: 0.000012, batch_cost: 1.2313, reader_cost: 0.00025, ips: 1.6242 samples/sec | ETA 10:43:22 2021-08-23 10:32:20 [INFO] [TRAIN] epoch: 346, iter: 128660/160000, loss: 0.0485, lr: 0.000012, batch_cost: 1.2352, reader_cost: 0.00023, ips: 1.6192 samples/sec | ETA 10:45:09 2021-08-23 10:32:32 [INFO] [TRAIN] epoch: 346, iter: 128670/160000, loss: 0.0583, lr: 0.000012, batch_cost: 1.2228, reader_cost: 0.00021, ips: 1.6356 samples/sec | ETA 10:38:29 2021-08-23 10:32:45 [INFO] [TRAIN] epoch: 346, iter: 128680/160000, loss: 0.0557, lr: 0.000012, batch_cost: 1.2161, reader_cost: 0.00022, ips: 1.6445 samples/sec | ETA 10:34:49 2021-08-23 10:32:57 [INFO] [TRAIN] epoch: 346, iter: 128690/160000, loss: 0.0462, lr: 0.000012, batch_cost: 1.2297, reader_cost: 0.00023, ips: 1.6264 samples/sec | ETA 10:41:42 2021-08-23 10:33:09 [INFO] [TRAIN] epoch: 346, iter: 128700/160000, loss: 0.0454, lr: 0.000012, batch_cost: 1.2148, reader_cost: 0.00021, ips: 1.6463 samples/sec | ETA 10:33:44 2021-08-23 10:33:21 [INFO] [TRAIN] epoch: 346, iter: 128710/160000, loss: 0.0572, lr: 0.000012, batch_cost: 1.1835, reader_cost: 0.00017, ips: 1.6899 samples/sec | ETA 10:17:11 2021-08-23 10:33:36 [INFO] [TRAIN] epoch: 347, iter: 128720/160000, loss: 0.0607, lr: 0.000012, batch_cost: 1.4899, reader_cost: 0.23042, ips: 1.3424 samples/sec | ETA 12:56:44 2021-08-23 10:33:48 [INFO] [TRAIN] epoch: 347, iter: 128730/160000, loss: 0.0505, lr: 0.000012, batch_cost: 1.2130, reader_cost: 0.00075, ips: 1.6488 samples/sec | ETA 10:32:11 2021-08-23 10:34:00 [INFO] [TRAIN] epoch: 347, iter: 128740/160000, loss: 0.0527, lr: 0.000012, batch_cost: 1.2394, reader_cost: 0.00023, ips: 1.6137 samples/sec | ETA 10:45:44 2021-08-23 10:34:13 [INFO] [TRAIN] epoch: 347, iter: 128750/160000, loss: 0.0677, lr: 0.000012, batch_cost: 1.2355, reader_cost: 0.00023, ips: 1.6188 samples/sec | ETA 10:43:29 2021-08-23 10:34:25 [INFO] [TRAIN] epoch: 347, iter: 128760/160000, loss: 0.0489, lr: 0.000012, batch_cost: 1.2314, reader_cost: 0.00026, ips: 1.6242 samples/sec | ETA 10:41:08 2021-08-23 10:34:37 [INFO] [TRAIN] epoch: 347, iter: 128770/160000, loss: 0.0447, lr: 0.000012, batch_cost: 1.2277, reader_cost: 0.00026, ips: 1.6291 samples/sec | ETA 10:39:01 2021-08-23 10:34:50 [INFO] [TRAIN] epoch: 347, iter: 128780/160000, loss: 0.0521, lr: 0.000012, batch_cost: 1.2374, reader_cost: 0.00026, ips: 1.6163 samples/sec | ETA 10:43:52 2021-08-23 10:35:02 [INFO] [TRAIN] epoch: 347, iter: 128790/160000, loss: 0.0431, lr: 0.000012, batch_cost: 1.2275, reader_cost: 0.00025, ips: 1.6294 samples/sec | ETA 10:38:29 2021-08-23 10:35:14 [INFO] [TRAIN] epoch: 347, iter: 128800/160000, loss: 0.0569, lr: 0.000012, batch_cost: 1.2341, reader_cost: 0.00025, ips: 1.6206 samples/sec | ETA 10:41:44 2021-08-23 10:35:27 [INFO] [TRAIN] epoch: 347, iter: 128810/160000, loss: 0.0558, lr: 0.000012, batch_cost: 1.2352, reader_cost: 0.00022, ips: 1.6191 samples/sec | ETA 10:42:07 2021-08-23 10:35:39 [INFO] [TRAIN] epoch: 347, iter: 128820/160000, loss: 0.0524, lr: 0.000012, batch_cost: 1.2216, reader_cost: 0.00022, ips: 1.6372 samples/sec | ETA 10:34:50 2021-08-23 10:35:51 [INFO] [TRAIN] epoch: 347, iter: 128830/160000, loss: 0.0395, lr: 0.000012, batch_cost: 1.2217, reader_cost: 0.00020, ips: 1.6370 samples/sec | ETA 10:34:40 2021-08-23 10:36:03 [INFO] [TRAIN] epoch: 347, iter: 128840/160000, loss: 0.0530, lr: 0.000012, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6332 samples/sec | ETA 10:35:58 2021-08-23 10:36:16 [INFO] [TRAIN] epoch: 347, iter: 128850/160000, loss: 0.0544, lr: 0.000012, batch_cost: 1.2380, reader_cost: 0.00022, ips: 1.6155 samples/sec | ETA 10:42:43 2021-08-23 10:36:28 [INFO] [TRAIN] epoch: 347, iter: 128860/160000, loss: 0.0499, lr: 0.000012, batch_cost: 1.2259, reader_cost: 0.00023, ips: 1.6315 samples/sec | ETA 10:36:14 2021-08-23 10:36:40 [INFO] [TRAIN] epoch: 347, iter: 128870/160000, loss: 0.0458, lr: 0.000012, batch_cost: 1.2314, reader_cost: 0.00023, ips: 1.6242 samples/sec | ETA 10:38:53 2021-08-23 10:36:53 [INFO] [TRAIN] epoch: 347, iter: 128880/160000, loss: 0.0488, lr: 0.000012, batch_cost: 1.2368, reader_cost: 0.00023, ips: 1.6171 samples/sec | ETA 10:41:29 2021-08-23 10:37:05 [INFO] [TRAIN] epoch: 347, iter: 128890/160000, loss: 0.0562, lr: 0.000012, batch_cost: 1.2189, reader_cost: 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loss: 0.0742, lr: 0.000012, batch_cost: 1.2179, reader_cost: 0.00021, ips: 1.6422 samples/sec | ETA 10:30:15 2021-08-23 10:38:30 [INFO] [TRAIN] epoch: 347, iter: 128960/160000, loss: 0.0485, lr: 0.000012, batch_cost: 1.2138, reader_cost: 0.00022, ips: 1.6478 samples/sec | ETA 10:27:55 2021-08-23 10:38:42 [INFO] [TRAIN] epoch: 347, iter: 128970/160000, loss: 0.0589, lr: 0.000012, batch_cost: 1.2273, reader_cost: 0.00021, ips: 1.6296 samples/sec | ETA 10:34:42 2021-08-23 10:38:55 [INFO] [TRAIN] epoch: 347, iter: 128980/160000, loss: 0.0506, lr: 0.000012, batch_cost: 1.2171, reader_cost: 0.00022, ips: 1.6432 samples/sec | ETA 10:29:15 2021-08-23 10:39:07 [INFO] [TRAIN] epoch: 347, iter: 128990/160000, loss: 0.0484, lr: 0.000012, batch_cost: 1.2358, reader_cost: 0.00025, ips: 1.6184 samples/sec | ETA 10:38:42 2021-08-23 10:39:19 [INFO] [TRAIN] epoch: 347, iter: 129000/160000, loss: 0.0532, lr: 0.000012, batch_cost: 1.2179, reader_cost: 0.00022, ips: 1.6421 samples/sec | ETA 10:29:15 2021-08-23 10:39:31 [INFO] [TRAIN] epoch: 347, iter: 129010/160000, loss: 0.0549, lr: 0.000012, batch_cost: 1.2300, reader_cost: 0.00021, ips: 1.6260 samples/sec | ETA 10:35:19 2021-08-23 10:39:44 [INFO] [TRAIN] epoch: 347, iter: 129020/160000, loss: 0.0451, lr: 0.000012, batch_cost: 1.2245, reader_cost: 0.00021, ips: 1.6333 samples/sec | ETA 10:32:15 2021-08-23 10:39:56 [INFO] [TRAIN] epoch: 347, iter: 129030/160000, loss: 0.0461, lr: 0.000012, batch_cost: 1.2394, reader_cost: 0.00021, ips: 1.6136 samples/sec | ETA 10:39:45 2021-08-23 10:40:09 [INFO] [TRAIN] epoch: 347, iter: 129040/160000, loss: 0.0528, lr: 0.000012, batch_cost: 1.2409, reader_cost: 0.00021, ips: 1.6117 samples/sec | ETA 10:40:18 2021-08-23 10:40:21 [INFO] [TRAIN] epoch: 347, iter: 129050/160000, loss: 0.0569, lr: 0.000012, batch_cost: 1.2469, reader_cost: 0.00021, ips: 1.6040 samples/sec | ETA 10:43:10 2021-08-23 10:40:33 [INFO] [TRAIN] epoch: 347, iter: 129060/160000, loss: 0.0472, lr: 0.000012, batch_cost: 1.2245, reader_cost: 0.00019, ips: 1.6333 samples/sec | ETA 10:31:26 2021-08-23 10:40:46 [INFO] [TRAIN] epoch: 347, iter: 129070/160000, loss: 0.0520, lr: 0.000012, batch_cost: 1.2368, reader_cost: 0.00020, ips: 1.6171 samples/sec | ETA 10:37:34 2021-08-23 10:40:58 [INFO] [TRAIN] epoch: 347, iter: 129080/160000, loss: 0.0461, lr: 0.000012, batch_cost: 1.2146, reader_cost: 0.00016, ips: 1.6467 samples/sec | ETA 10:25:54 2021-08-23 10:41:13 [INFO] [TRAIN] epoch: 348, iter: 129090/160000, loss: 0.0620, lr: 0.000012, batch_cost: 1.4975, reader_cost: 0.22816, ips: 1.3355 samples/sec | ETA 12:51:29 2021-08-23 10:41:25 [INFO] [TRAIN] epoch: 348, iter: 129100/160000, loss: 0.0567, lr: 0.000012, batch_cost: 1.2230, reader_cost: 0.00074, ips: 1.6353 samples/sec | ETA 10:29:51 2021-08-23 10:41:37 [INFO] [TRAIN] epoch: 348, iter: 129110/160000, loss: 0.0374, lr: 0.000012, batch_cost: 1.2343, reader_cost: 0.00021, ips: 1.6204 samples/sec | ETA 10:35:26 2021-08-23 10:41:49 [INFO] [TRAIN] epoch: 348, iter: 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10:26:18 2021-08-23 10:43:03 [INFO] [TRAIN] epoch: 348, iter: 129180/160000, loss: 0.0531, lr: 0.000012, batch_cost: 1.2195, reader_cost: 0.00083, ips: 1.6400 samples/sec | ETA 10:26:24 2021-08-23 10:43:15 [INFO] [TRAIN] epoch: 348, iter: 129190/160000, loss: 0.0507, lr: 0.000012, batch_cost: 1.2428, reader_cost: 0.00020, ips: 1.6093 samples/sec | ETA 10:38:09 2021-08-23 10:43:28 [INFO] [TRAIN] epoch: 348, iter: 129200/160000, loss: 0.0464, lr: 0.000012, batch_cost: 1.2292, reader_cost: 0.00021, ips: 1.6270 samples/sec | ETA 10:31:00 2021-08-23 10:43:40 [INFO] [TRAIN] epoch: 348, iter: 129210/160000, loss: 0.0519, lr: 0.000012, batch_cost: 1.2393, reader_cost: 0.00022, ips: 1.6139 samples/sec | ETA 10:35:56 2021-08-23 10:43:52 [INFO] [TRAIN] epoch: 348, iter: 129220/160000, loss: 0.0498, lr: 0.000012, batch_cost: 1.2245, reader_cost: 0.00022, ips: 1.6333 samples/sec | ETA 10:28:09 2021-08-23 10:44:05 [INFO] [TRAIN] epoch: 348, iter: 129230/160000, loss: 0.0488, lr: 0.000012, batch_cost: 1.2344, reader_cost: 0.00023, ips: 1.6202 samples/sec | ETA 10:33:02 2021-08-23 10:44:17 [INFO] [TRAIN] epoch: 348, iter: 129240/160000, loss: 0.0483, lr: 0.000012, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6390 samples/sec | ETA 10:25:35 2021-08-23 10:44:29 [INFO] [TRAIN] epoch: 348, iter: 129250/160000, loss: 0.0508, lr: 0.000012, batch_cost: 1.2208, reader_cost: 0.00022, ips: 1.6382 samples/sec | ETA 10:25:40 2021-08-23 10:44:41 [INFO] [TRAIN] epoch: 348, iter: 129260/160000, loss: 0.0457, lr: 0.000012, batch_cost: 1.2349, reader_cost: 0.00021, ips: 1.6195 samples/sec | ETA 10:32:41 2021-08-23 10:44:54 [INFO] [TRAIN] epoch: 348, iter: 129270/160000, loss: 0.0475, lr: 0.000012, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6325 samples/sec | ETA 10:27:26 2021-08-23 10:45:06 [INFO] [TRAIN] epoch: 348, iter: 129280/160000, loss: 0.0378, lr: 0.000012, batch_cost: 1.2264, reader_cost: 0.00022, ips: 1.6308 samples/sec | ETA 10:27:55 2021-08-23 10:45:18 [INFO] [TRAIN] epoch: 348, iter: 129290/160000, loss: 0.0460, lr: 0.000012, batch_cost: 1.2263, reader_cost: 0.00021, ips: 1.6310 samples/sec | ETA 10:27:38 2021-08-23 10:45:30 [INFO] [TRAIN] epoch: 348, iter: 129300/160000, loss: 0.0455, lr: 0.000012, batch_cost: 1.2273, reader_cost: 0.00023, ips: 1.6296 samples/sec | ETA 10:27:58 2021-08-23 10:45:43 [INFO] [TRAIN] epoch: 348, iter: 129310/160000, loss: 0.0448, lr: 0.000012, batch_cost: 1.2197, reader_cost: 0.00022, ips: 1.6398 samples/sec | ETA 10:23:51 2021-08-23 10:45:55 [INFO] [TRAIN] epoch: 348, iter: 129320/160000, loss: 0.0551, lr: 0.000012, batch_cost: 1.2194, reader_cost: 0.00021, ips: 1.6402 samples/sec | ETA 10:23:30 2021-08-23 10:46:07 [INFO] [TRAIN] epoch: 348, iter: 129330/160000, loss: 0.0511, lr: 0.000012, batch_cost: 1.2258, reader_cost: 0.00021, ips: 1.6316 samples/sec | ETA 10:26:34 2021-08-23 10:46:19 [INFO] [TRAIN] epoch: 348, iter: 129340/160000, loss: 0.0444, lr: 0.000011, batch_cost: 1.2342, reader_cost: 0.00022, ips: 1.6204 samples/sec | ETA 10:30:41 2021-08-23 10:46:32 [INFO] [TRAIN] epoch: 348, iter: 129350/160000, loss: 0.0517, lr: 0.000011, batch_cost: 1.2241, reader_cost: 0.00024, ips: 1.6338 samples/sec | ETA 10:25:20 2021-08-23 10:46:44 [INFO] [TRAIN] epoch: 348, iter: 129360/160000, loss: 0.0440, lr: 0.000011, batch_cost: 1.2122, reader_cost: 0.00025, ips: 1.6499 samples/sec | ETA 10:19:00 2021-08-23 10:46:56 [INFO] [TRAIN] epoch: 348, iter: 129370/160000, loss: 0.0585, lr: 0.000011, batch_cost: 1.2141, reader_cost: 0.00021, ips: 1.6474 samples/sec | ETA 10:19:46 2021-08-23 10:47:08 [INFO] [TRAIN] epoch: 348, iter: 129380/160000, loss: 0.0508, lr: 0.000011, batch_cost: 1.2159, reader_cost: 0.00021, ips: 1.6449 samples/sec | ETA 10:20:30 2021-08-23 10:47:20 [INFO] [TRAIN] epoch: 348, iter: 129390/160000, loss: 0.0476, lr: 0.000011, batch_cost: 1.2302, reader_cost: 0.00022, ips: 1.6258 samples/sec | ETA 10:27:35 2021-08-23 10:47:33 [INFO] [TRAIN] epoch: 348, iter: 129400/160000, loss: 0.0499, lr: 0.000011, batch_cost: 1.2152, reader_cost: 0.00031, ips: 1.6458 samples/sec | ETA 10:19:46 2021-08-23 10:47:45 [INFO] [TRAIN] epoch: 348, iter: 129410/160000, loss: 0.0498, lr: 0.000011, batch_cost: 1.2130, reader_cost: 0.00021, ips: 1.6489 samples/sec | ETA 10:18:24 2021-08-23 10:47:57 [INFO] [TRAIN] epoch: 348, iter: 129420/160000, loss: 0.0548, lr: 0.000011, batch_cost: 1.2204, reader_cost: 0.00021, ips: 1.6388 samples/sec | ETA 10:22:00 2021-08-23 10:48:09 [INFO] [TRAIN] epoch: 348, iter: 129430/160000, loss: 0.0533, lr: 0.000011, batch_cost: 1.2310, reader_cost: 0.00023, ips: 1.6247 samples/sec | ETA 10:27:12 2021-08-23 10:48:22 [INFO] [TRAIN] epoch: 348, iter: 129440/160000, loss: 0.0481, lr: 0.000011, batch_cost: 1.2357, reader_cost: 0.00023, ips: 1.6185 samples/sec | ETA 10:29:22 2021-08-23 10:48:33 [INFO] [TRAIN] epoch: 348, iter: 129450/160000, loss: 0.0457, lr: 0.000011, batch_cost: 1.1911, reader_cost: 0.00017, ips: 1.6791 samples/sec | ETA 10:06:27 2021-08-23 10:48:48 [INFO] [TRAIN] epoch: 349, iter: 129460/160000, loss: 0.0417, lr: 0.000011, batch_cost: 1.4841, reader_cost: 0.21157, ips: 1.3476 samples/sec | ETA 12:35:25 2021-08-23 10:49:01 [INFO] [TRAIN] epoch: 349, iter: 129470/160000, loss: 0.0474, lr: 0.000011, batch_cost: 1.2385, reader_cost: 0.00083, ips: 1.6148 samples/sec | ETA 10:30:12 2021-08-23 10:49:13 [INFO] [TRAIN] epoch: 349, iter: 129480/160000, loss: 0.0506, lr: 0.000011, batch_cost: 1.2349, reader_cost: 0.00021, ips: 1.6196 samples/sec | ETA 10:28:09 2021-08-23 10:49:25 [INFO] [TRAIN] epoch: 349, iter: 129490/160000, loss: 0.0473, lr: 0.000011, batch_cost: 1.2267, reader_cost: 0.00022, ips: 1.6303 samples/sec | ETA 10:23:47 2021-08-23 10:49:38 [INFO] [TRAIN] epoch: 349, iter: 129500/160000, loss: 0.0538, lr: 0.000011, batch_cost: 1.2259, reader_cost: 0.00022, ips: 1.6314 samples/sec | ETA 10:23:10 2021-08-23 10:49:50 [INFO] [TRAIN] epoch: 349, iter: 129510/160000, loss: 0.0487, lr: 0.000011, batch_cost: 1.2137, reader_cost: 0.00022, ips: 1.6479 samples/sec | ETA 10:16:45 2021-08-23 10:50:02 [INFO] [TRAIN] epoch: 349, iter: 129520/160000, loss: 0.0459, lr: 0.000011, batch_cost: 1.2230, reader_cost: 0.00021, ips: 1.6354 samples/sec | ETA 10:21:16 2021-08-23 10:50:14 [INFO] [TRAIN] epoch: 349, iter: 129530/160000, loss: 0.0448, lr: 0.000011, batch_cost: 1.2176, reader_cost: 0.00022, ips: 1.6426 samples/sec | ETA 10:18:20 2021-08-23 10:50:26 [INFO] [TRAIN] epoch: 349, iter: 129540/160000, loss: 0.0512, lr: 0.000011, batch_cost: 1.2358, reader_cost: 0.00024, ips: 1.6184 samples/sec | ETA 10:27:21 2021-08-23 10:50:39 [INFO] [TRAIN] epoch: 349, iter: 129550/160000, loss: 0.0490, lr: 0.000011, batch_cost: 1.2273, reader_cost: 0.00021, ips: 1.6296 samples/sec | ETA 10:22:51 2021-08-23 10:50:51 [INFO] [TRAIN] epoch: 349, iter: 129560/160000, loss: 0.0453, lr: 0.000011, batch_cost: 1.2056, reader_cost: 0.00024, ips: 1.6589 samples/sec | ETA 10:11:39 2021-08-23 10:51:03 [INFO] [TRAIN] epoch: 349, iter: 129570/160000, loss: 0.0531, lr: 0.000011, batch_cost: 1.2173, reader_cost: 0.00023, ips: 1.6430 samples/sec | ETA 10:17:21 2021-08-23 10:51:15 [INFO] [TRAIN] epoch: 349, iter: 129580/160000, loss: 0.0475, lr: 0.000011, batch_cost: 1.2161, reader_cost: 0.00021, ips: 1.6446 samples/sec | ETA 10:16:34 2021-08-23 10:51:27 [INFO] [TRAIN] epoch: 349, iter: 129590/160000, loss: 0.1146, lr: 0.000011, batch_cost: 1.2029, reader_cost: 0.00020, ips: 1.6626 samples/sec | ETA 10:09:40 2021-08-23 10:51:39 [INFO] [TRAIN] epoch: 349, iter: 129600/160000, loss: 0.0653, lr: 0.000011, batch_cost: 1.2175, reader_cost: 0.00022, ips: 1.6428 samples/sec | ETA 10:16:51 2021-08-23 10:51:52 [INFO] [TRAIN] epoch: 349, iter: 129610/160000, loss: 0.0530, lr: 0.000011, batch_cost: 1.2368, reader_cost: 0.00022, ips: 1.6171 samples/sec | ETA 10:26:25 2021-08-23 10:52:04 [INFO] [TRAIN] epoch: 349, iter: 129620/160000, loss: 0.0472, lr: 0.000011, batch_cost: 1.2503, reader_cost: 0.00024, ips: 1.5996 samples/sec | ETA 10:33:04 2021-08-23 10:52:16 [INFO] [TRAIN] epoch: 349, iter: 129630/160000, loss: 0.0558, lr: 0.000011, batch_cost: 1.2290, reader_cost: 0.00021, ips: 1.6273 samples/sec | ETA 10:22:05 2021-08-23 10:52:29 [INFO] [TRAIN] epoch: 349, iter: 129640/160000, loss: 0.0497, lr: 0.000011, batch_cost: 1.2304, reader_cost: 0.00021, ips: 1.6255 samples/sec | ETA 10:22:33 2021-08-23 10:52:41 [INFO] [TRAIN] epoch: 349, iter: 129650/160000, loss: 0.0461, lr: 0.000011, batch_cost: 1.2191, reader_cost: 0.00019, ips: 1.6406 samples/sec | ETA 10:16:38 2021-08-23 10:52:53 [INFO] [TRAIN] epoch: 349, iter: 129660/160000, loss: 0.0502, lr: 0.000011, batch_cost: 1.2249, reader_cost: 0.00021, ips: 1.6328 samples/sec | ETA 10:19:24 2021-08-23 10:53:05 [INFO] [TRAIN] epoch: 349, iter: 129670/160000, loss: 0.0563, lr: 0.000011, batch_cost: 1.2198, reader_cost: 0.00021, ips: 1.6397 samples/sec | ETA 10:16:35 2021-08-23 10:53:18 [INFO] [TRAIN] epoch: 349, iter: 129680/160000, loss: 0.0517, lr: 0.000011, batch_cost: 1.2373, reader_cost: 0.00022, ips: 1.6164 samples/sec | ETA 10:25:16 2021-08-23 10:53:30 [INFO] [TRAIN] epoch: 349, iter: 129690/160000, loss: 0.0564, lr: 0.000011, batch_cost: 1.2145, reader_cost: 0.00022, ips: 1.6468 samples/sec | ETA 10:13:30 2021-08-23 10:53:42 [INFO] [TRAIN] epoch: 349, iter: 129700/160000, loss: 0.0580, lr: 0.000011, batch_cost: 1.2236, reader_cost: 0.00024, ips: 1.6345 samples/sec | ETA 10:17:55 2021-08-23 10:53:54 [INFO] [TRAIN] epoch: 349, iter: 129710/160000, loss: 0.0536, lr: 0.000011, batch_cost: 1.2214, reader_cost: 0.00023, ips: 1.6375 samples/sec | ETA 10:16:36 2021-08-23 10:54:07 [INFO] [TRAIN] epoch: 349, iter: 129720/160000, loss: 0.0455, lr: 0.000011, batch_cost: 1.2414, reader_cost: 0.00022, ips: 1.6111 samples/sec | ETA 10:26:28 2021-08-23 10:54:19 [INFO] [TRAIN] epoch: 349, iter: 129730/160000, loss: 0.0599, lr: 0.000011, batch_cost: 1.2154, reader_cost: 0.00022, ips: 1.6456 samples/sec | ETA 10:13:09 2021-08-23 10:54:31 [INFO] [TRAIN] epoch: 349, iter: 129740/160000, loss: 0.0550, lr: 0.000011, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6224 samples/sec | ETA 10:21:43 2021-08-23 10:54:44 [INFO] [TRAIN] epoch: 349, iter: 129750/160000, loss: 0.0418, lr: 0.000011, batch_cost: 1.2236, reader_cost: 0.00021, ips: 1.6345 samples/sec | ETA 10:16:55 2021-08-23 10:54:56 [INFO] [TRAIN] epoch: 349, iter: 129760/160000, loss: 0.0602, lr: 0.000011, batch_cost: 1.2302, reader_cost: 0.00020, ips: 1.6258 samples/sec | ETA 10:20:01 2021-08-23 10:55:08 [INFO] [TRAIN] epoch: 349, iter: 129770/160000, loss: 0.0556, lr: 0.000011, batch_cost: 1.2349, reader_cost: 0.00021, ips: 1.6195 samples/sec | ETA 10:22:11 2021-08-23 10:55:20 [INFO] [TRAIN] epoch: 349, iter: 129780/160000, loss: 0.0575, lr: 0.000011, batch_cost: 1.2243, reader_cost: 0.00021, ips: 1.6335 samples/sec | ETA 10:16:39 2021-08-23 10:55:33 [INFO] [TRAIN] epoch: 349, iter: 129790/160000, loss: 0.0478, lr: 0.000011, batch_cost: 1.2176, reader_cost: 0.00022, ips: 1.6426 samples/sec | ETA 10:13:04 2021-08-23 10:55:45 [INFO] [TRAIN] epoch: 349, iter: 129800/160000, loss: 0.0469, lr: 0.000011, batch_cost: 1.2234, reader_cost: 0.00021, ips: 1.6348 samples/sec | ETA 10:15:46 2021-08-23 10:55:57 [INFO] [TRAIN] epoch: 349, iter: 129810/160000, loss: 0.0481, lr: 0.000011, batch_cost: 1.2310, reader_cost: 0.00022, ips: 1.6248 samples/sec | ETA 10:19:22 2021-08-23 10:56:09 [INFO] [TRAIN] epoch: 349, iter: 129820/160000, loss: 0.0545, lr: 0.000011, batch_cost: 1.2112, reader_cost: 0.00019, ips: 1.6512 samples/sec | ETA 10:09:14 2021-08-23 10:56:24 [INFO] [TRAIN] epoch: 350, iter: 129830/160000, loss: 0.0579, lr: 0.000011, batch_cost: 1.4736, reader_cost: 0.22646, ips: 1.3572 samples/sec | ETA 12:20:57 2021-08-23 10:56:36 [INFO] [TRAIN] epoch: 350, iter: 129840/160000, loss: 0.0538, lr: 0.000011, batch_cost: 1.2241, reader_cost: 0.00085, ips: 1.6339 samples/sec | ETA 10:15:18 2021-08-23 10:56:48 [INFO] [TRAIN] epoch: 350, iter: 129850/160000, loss: 0.0519, lr: 0.000011, batch_cost: 1.2114, reader_cost: 0.00020, ips: 1.6510 samples/sec | ETA 10:08:42 2021-08-23 10:57:00 [INFO] [TRAIN] epoch: 350, iter: 129860/160000, loss: 0.0439, lr: 0.000011, batch_cost: 1.2110, reader_cost: 0.00020, ips: 1.6515 samples/sec | ETA 10:08:19 2021-08-23 10:57:13 [INFO] [TRAIN] epoch: 350, iter: 129870/160000, loss: 0.0530, lr: 0.000011, batch_cost: 1.2389, reader_cost: 0.00021, ips: 1.6143 samples/sec | ETA 10:22:08 2021-08-23 10:57:25 [INFO] [TRAIN] epoch: 350, iter: 129880/160000, loss: 0.0443, lr: 0.000011, batch_cost: 1.2430, reader_cost: 0.00022, ips: 1.6090 samples/sec | ETA 10:23:59 2021-08-23 10:57:37 [INFO] [TRAIN] epoch: 350, iter: 129890/160000, loss: 0.0505, lr: 0.000011, batch_cost: 1.2111, reader_cost: 0.00023, ips: 1.6514 samples/sec | ETA 10:07:45 2021-08-23 10:57:50 [INFO] [TRAIN] epoch: 350, iter: 129900/160000, loss: 0.0450, lr: 0.000011, batch_cost: 1.2300, reader_cost: 0.00022, ips: 1.6260 samples/sec | ETA 10:17:02 2021-08-23 10:58:02 [INFO] [TRAIN] epoch: 350, iter: 129910/160000, loss: 0.0486, lr: 0.000011, batch_cost: 1.2338, reader_cost: 0.00021, ips: 1.6210 samples/sec | ETA 10:18:45 2021-08-23 10:58:14 [INFO] [TRAIN] epoch: 350, iter: 129920/160000, loss: 0.0407, lr: 0.000011, batch_cost: 1.2365, reader_cost: 0.00021, ips: 1.6175 samples/sec | ETA 10:19:53 2021-08-23 10:58:27 [INFO] [TRAIN] epoch: 350, iter: 129930/160000, loss: 0.0512, lr: 0.000011, batch_cost: 1.2274, reader_cost: 0.00022, ips: 1.6295 samples/sec | ETA 10:15:07 2021-08-23 10:58:39 [INFO] [TRAIN] epoch: 350, iter: 129940/160000, loss: 0.0575, lr: 0.000011, batch_cost: 1.2294, reader_cost: 0.00021, ips: 1.6268 samples/sec | ETA 10:15:55 2021-08-23 10:58:51 [INFO] [TRAIN] epoch: 350, iter: 129950/160000, loss: 0.0574, lr: 0.000011, batch_cost: 1.2327, reader_cost: 0.00023, ips: 1.6225 samples/sec | ETA 10:17:22 2021-08-23 10:59:04 [INFO] [TRAIN] epoch: 350, iter: 129960/160000, loss: 0.0409, lr: 0.000011, batch_cost: 1.2280, reader_cost: 0.00021, ips: 1.6286 samples/sec | ETA 10:14:49 2021-08-23 10:59:16 [INFO] [TRAIN] epoch: 350, iter: 129970/160000, loss: 0.0385, lr: 0.000011, batch_cost: 1.2360, reader_cost: 0.00023, ips: 1.6182 samples/sec | ETA 10:18:36 2021-08-23 10:59:28 [INFO] [TRAIN] epoch: 350, iter: 129980/160000, loss: 0.0502, lr: 0.000011, batch_cost: 1.2300, reader_cost: 0.00023, ips: 1.6261 samples/sec | ETA 10:15:23 2021-08-23 10:59:41 [INFO] [TRAIN] epoch: 350, iter: 129990/160000, loss: 0.0476, lr: 0.000011, batch_cost: 1.2396, reader_cost: 0.00023, ips: 1.6134 samples/sec | ETA 10:20:01 2021-08-23 10:59:53 [INFO] [TRAIN] epoch: 350, iter: 130000/160000, loss: 0.0534, lr: 0.000011, batch_cost: 1.2194, reader_cost: 0.00022, ips: 1.6402 samples/sec | ETA 10:09:41 2021-08-23 11:00:05 [INFO] [TRAIN] epoch: 350, iter: 130010/160000, loss: 0.0487, lr: 0.000011, batch_cost: 1.2199, reader_cost: 0.00021, ips: 1.6395 samples/sec | ETA 10:09:43 2021-08-23 11:00:17 [INFO] [TRAIN] epoch: 350, iter: 130020/160000, loss: 0.0445, lr: 0.000011, batch_cost: 1.2340, reader_cost: 0.00022, ips: 1.6207 samples/sec | ETA 10:16:35 2021-08-23 11:00:30 [INFO] [TRAIN] epoch: 350, iter: 130030/160000, loss: 0.0475, lr: 0.000011, batch_cost: 1.2122, reader_cost: 0.00023, ips: 1.6499 samples/sec | ETA 10:05:30 2021-08-23 11:00:42 [INFO] [TRAIN] epoch: 350, iter: 130040/160000, loss: 0.0418, lr: 0.000011, batch_cost: 1.2180, reader_cost: 0.00022, ips: 1.6420 samples/sec | ETA 10:08:11 2021-08-23 11:00:54 [INFO] [TRAIN] epoch: 350, iter: 130050/160000, loss: 0.0462, lr: 0.000011, batch_cost: 1.2200, reader_cost: 0.00024, ips: 1.6393 samples/sec | ETA 10:08:59 2021-08-23 11:01:06 [INFO] [TRAIN] epoch: 350, iter: 130060/160000, loss: 0.0470, lr: 0.000011, batch_cost: 1.2112, reader_cost: 0.00023, ips: 1.6513 samples/sec | ETA 10:04:22 2021-08-23 11:01:18 [INFO] [TRAIN] epoch: 350, iter: 130070/160000, loss: 0.0616, lr: 0.000011, batch_cost: 1.2292, reader_cost: 0.00022, ips: 1.6271 samples/sec | ETA 10:13:08 2021-08-23 11:01:31 [INFO] [TRAIN] epoch: 350, iter: 130080/160000, loss: 0.0433, lr: 0.000011, batch_cost: 1.2272, reader_cost: 0.00023, ips: 1.6298 samples/sec | ETA 10:11:56 2021-08-23 11:01:43 [INFO] [TRAIN] epoch: 350, iter: 130090/160000, loss: 0.0477, lr: 0.000011, batch_cost: 1.2326, reader_cost: 0.00024, ips: 1.6226 samples/sec | ETA 10:14:27 2021-08-23 11:01:55 [INFO] [TRAIN] epoch: 350, iter: 130100/160000, loss: 0.0432, lr: 0.000011, batch_cost: 1.2387, reader_cost: 0.00020, ips: 1.6146 samples/sec | ETA 10:17:16 2021-08-23 11:02:08 [INFO] [TRAIN] epoch: 350, iter: 130110/160000, loss: 0.0487, lr: 0.000011, batch_cost: 1.2464, reader_cost: 0.00022, ips: 1.6046 samples/sec | ETA 10:20:55 2021-08-23 11:02:20 [INFO] [TRAIN] epoch: 350, iter: 130120/160000, loss: 0.0434, lr: 0.000011, batch_cost: 1.2308, reader_cost: 0.00021, ips: 1.6250 samples/sec | ETA 10:12:55 2021-08-23 11:02:32 [INFO] [TRAIN] epoch: 350, iter: 130130/160000, loss: 0.0366, lr: 0.000011, batch_cost: 1.2213, reader_cost: 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loss: 0.0548, lr: 0.000011, batch_cost: 1.2240, reader_cost: 0.00021, ips: 1.6339 samples/sec | ETA 10:08:08 2021-08-23 11:03:58 [INFO] [TRAIN] epoch: 350, iter: 130200/160000, loss: 0.0620, lr: 0.000011, batch_cost: 1.2032, reader_cost: 0.00015, ips: 1.6622 samples/sec | ETA 09:57:35 2021-08-23 11:04:13 [INFO] [TRAIN] epoch: 351, iter: 130210/160000, loss: 0.0523, lr: 0.000011, batch_cost: 1.5005, reader_cost: 0.20863, ips: 1.3329 samples/sec | ETA 12:25:00 2021-08-23 11:04:25 [INFO] [TRAIN] epoch: 351, iter: 130220/160000, loss: 0.0502, lr: 0.000011, batch_cost: 1.2189, reader_cost: 0.00080, ips: 1.6408 samples/sec | ETA 10:04:59 2021-08-23 11:04:37 [INFO] [TRAIN] epoch: 351, iter: 130230/160000, loss: 0.0525, lr: 0.000011, batch_cost: 1.2159, reader_cost: 0.00022, ips: 1.6449 samples/sec | ETA 10:03:16 2021-08-23 11:04:49 [INFO] [TRAIN] epoch: 351, iter: 130240/160000, loss: 0.0547, lr: 0.000011, batch_cost: 1.2217, reader_cost: 0.00022, ips: 1.6370 samples/sec | ETA 10:05:58 2021-08-23 11:05:02 [INFO] [TRAIN] epoch: 351, iter: 130250/160000, loss: 0.0469, lr: 0.000011, batch_cost: 1.2219, reader_cost: 0.00023, ips: 1.6369 samples/sec | ETA 10:05:50 2021-08-23 11:05:14 [INFO] [TRAIN] epoch: 351, iter: 130260/160000, loss: 0.0510, lr: 0.000011, batch_cost: 1.2132, reader_cost: 0.00022, ips: 1.6486 samples/sec | ETA 10:01:19 2021-08-23 11:05:26 [INFO] [TRAIN] epoch: 351, iter: 130270/160000, loss: 0.0607, lr: 0.000011, batch_cost: 1.2192, reader_cost: 0.00023, ips: 1.6404 samples/sec | ETA 10:04:08 2021-08-23 11:05:38 [INFO] [TRAIN] epoch: 351, iter: 130280/160000, loss: 0.0419, lr: 0.000011, batch_cost: 1.2364, reader_cost: 0.00021, ips: 1.6175 samples/sec | ETA 10:12:27 2021-08-23 11:05:51 [INFO] [TRAIN] epoch: 351, iter: 130290/160000, loss: 0.0377, lr: 0.000011, batch_cost: 1.2384, reader_cost: 0.00025, ips: 1.6149 samples/sec | ETA 10:13:13 2021-08-23 11:06:03 [INFO] [TRAIN] epoch: 351, iter: 130300/160000, loss: 0.0472, lr: 0.000011, batch_cost: 1.2352, 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130360/160000, loss: 0.0519, lr: 0.000011, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6388 samples/sec | ETA 10:02:52 2021-08-23 11:07:29 [INFO] [TRAIN] epoch: 351, iter: 130370/160000, loss: 0.0510, lr: 0.000011, batch_cost: 1.2411, reader_cost: 0.00026, ips: 1.6114 samples/sec | ETA 10:12:55 2021-08-23 11:07:41 [INFO] [TRAIN] epoch: 351, iter: 130380/160000, loss: 0.0485, lr: 0.000011, batch_cost: 1.2312, reader_cost: 0.00020, ips: 1.6244 samples/sec | ETA 10:07:47 2021-08-23 11:07:54 [INFO] [TRAIN] epoch: 351, iter: 130390/160000, loss: 0.0406, lr: 0.000011, batch_cost: 1.2329, reader_cost: 0.00023, ips: 1.6222 samples/sec | ETA 10:08:26 2021-08-23 11:08:06 [INFO] [TRAIN] epoch: 351, iter: 130400/160000, loss: 0.0477, lr: 0.000011, batch_cost: 1.2500, reader_cost: 0.00022, ips: 1.6000 samples/sec | ETA 10:16:39 2021-08-23 11:08:19 [INFO] [TRAIN] epoch: 351, iter: 130410/160000, loss: 0.0453, lr: 0.000011, batch_cost: 1.2238, reader_cost: 0.00020, ips: 1.6342 samples/sec | ETA 10:03:33 2021-08-23 11:08:31 [INFO] [TRAIN] epoch: 351, iter: 130420/160000, loss: 0.0560, lr: 0.000011, batch_cost: 1.2291, reader_cost: 0.00021, ips: 1.6273 samples/sec | ETA 10:05:55 2021-08-23 11:08:43 [INFO] [TRAIN] epoch: 351, iter: 130430/160000, loss: 0.0562, lr: 0.000011, batch_cost: 1.2302, reader_cost: 0.00020, ips: 1.6257 samples/sec | ETA 10:06:17 2021-08-23 11:08:55 [INFO] [TRAIN] epoch: 351, iter: 130440/160000, loss: 0.0485, lr: 0.000011, batch_cost: 1.2145, reader_cost: 0.00020, ips: 1.6467 samples/sec | ETA 09:58:21 2021-08-23 11:09:07 [INFO] [TRAIN] epoch: 351, iter: 130450/160000, loss: 0.0475, lr: 0.000011, batch_cost: 1.2098, reader_cost: 0.00021, ips: 1.6531 samples/sec | ETA 09:55:50 2021-08-23 11:09:20 [INFO] [TRAIN] epoch: 351, iter: 130460/160000, loss: 0.0505, lr: 0.000011, batch_cost: 1.2228, reader_cost: 0.00021, ips: 1.6356 samples/sec | ETA 10:02:01 2021-08-23 11:09:32 [INFO] [TRAIN] epoch: 351, iter: 130470/160000, loss: 0.0492, lr: 0.000011, batch_cost: 1.2602, reader_cost: 0.00023, ips: 1.5870 samples/sec | ETA 10:20:14 2021-08-23 11:09:44 [INFO] [TRAIN] epoch: 351, iter: 130480/160000, loss: 0.0476, lr: 0.000011, batch_cost: 1.2140, reader_cost: 0.00021, ips: 1.6474 samples/sec | ETA 09:57:18 2021-08-23 11:09:57 [INFO] [TRAIN] epoch: 351, iter: 130490/160000, loss: 0.0441, lr: 0.000011, batch_cost: 1.2515, reader_cost: 0.00021, ips: 1.5981 samples/sec | ETA 10:15:31 2021-08-23 11:10:09 [INFO] [TRAIN] epoch: 351, iter: 130500/160000, loss: 0.0453, lr: 0.000011, batch_cost: 1.2237, reader_cost: 0.00022, ips: 1.6344 samples/sec | ETA 10:01:39 2021-08-23 11:10:21 [INFO] [TRAIN] epoch: 351, iter: 130510/160000, loss: 0.0553, lr: 0.000011, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6391 samples/sec | ETA 09:59:42 2021-08-23 11:10:34 [INFO] [TRAIN] epoch: 351, iter: 130520/160000, loss: 0.0477, lr: 0.000011, batch_cost: 1.2194, reader_cost: 0.00021, ips: 1.6401 samples/sec | ETA 09:59:09 2021-08-23 11:10:46 [INFO] [TRAIN] epoch: 351, iter: 130530/160000, loss: 0.0507, lr: 0.000011, batch_cost: 1.2382, reader_cost: 0.00020, ips: 1.6152 samples/sec | ETA 10:08:11 2021-08-23 11:10:58 [INFO] [TRAIN] epoch: 351, iter: 130540/160000, loss: 0.0487, lr: 0.000011, batch_cost: 1.2265, reader_cost: 0.00021, ips: 1.6306 samples/sec | ETA 10:02:13 2021-08-23 11:11:10 [INFO] [TRAIN] epoch: 351, iter: 130550/160000, loss: 0.0494, lr: 0.000011, batch_cost: 1.2316, reader_cost: 0.00021, ips: 1.6239 samples/sec | ETA 10:04:29 2021-08-23 11:11:23 [INFO] [TRAIN] epoch: 351, iter: 130560/160000, loss: 0.0593, lr: 0.000011, batch_cost: 1.2143, reader_cost: 0.00021, ips: 1.6470 samples/sec | ETA 09:55:49 2021-08-23 11:11:34 [INFO] [TRAIN] epoch: 351, iter: 130570/160000, loss: 0.0487, lr: 0.000011, batch_cost: 1.1827, reader_cost: 0.00016, ips: 1.6910 samples/sec | ETA 09:40:08 2021-08-23 11:11:49 [INFO] [TRAIN] epoch: 352, iter: 130580/160000, loss: 0.0481, lr: 0.000011, batch_cost: 1.4832, reader_cost: 0.23621, ips: 1.3485 samples/sec | ETA 12:07:15 2021-08-23 11:12:02 [INFO] [TRAIN] epoch: 352, iter: 130590/160000, loss: 0.0538, lr: 0.000011, batch_cost: 1.2427, reader_cost: 0.00084, ips: 1.6094 samples/sec | ETA 10:09:07 2021-08-23 11:12:14 [INFO] [TRAIN] epoch: 352, iter: 130600/160000, loss: 0.0569, lr: 0.000011, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6288 samples/sec | ETA 10:01:39 2021-08-23 11:12:26 [INFO] [TRAIN] epoch: 352, iter: 130610/160000, loss: 0.0516, lr: 0.000011, batch_cost: 1.2372, reader_cost: 0.00024, ips: 1.6166 samples/sec | ETA 10:06:00 2021-08-23 11:12:39 [INFO] [TRAIN] epoch: 352, iter: 130620/160000, loss: 0.0554, lr: 0.000011, batch_cost: 1.2350, reader_cost: 0.00023, ips: 1.6194 samples/sec | ETA 10:04:43 2021-08-23 11:12:51 [INFO] [TRAIN] epoch: 352, iter: 130630/160000, loss: 0.0513, lr: 0.000011, batch_cost: 1.2241, reader_cost: 0.00025, ips: 1.6339 samples/sec | ETA 09:59:11 2021-08-23 11:13:03 [INFO] [TRAIN] epoch: 352, iter: 130640/160000, loss: 0.0516, lr: 0.000011, batch_cost: 1.2415, reader_cost: 0.00022, ips: 1.6110 samples/sec | ETA 10:07:29 2021-08-23 11:13:16 [INFO] [TRAIN] epoch: 352, iter: 130650/160000, loss: 0.0533, lr: 0.000011, batch_cost: 1.2371, reader_cost: 0.00021, ips: 1.6167 samples/sec | ETA 10:05:09 2021-08-23 11:13:28 [INFO] [TRAIN] epoch: 352, iter: 130660/160000, loss: 0.0434, lr: 0.000011, batch_cost: 1.2263, reader_cost: 0.00022, ips: 1.6310 samples/sec | ETA 09:59:38 2021-08-23 11:13:40 [INFO] [TRAIN] epoch: 352, iter: 130670/160000, loss: 0.0501, lr: 0.000011, batch_cost: 1.2282, reader_cost: 0.00022, ips: 1.6285 samples/sec | ETA 10:00:21 2021-08-23 11:13:53 [INFO] [TRAIN] epoch: 352, iter: 130680/160000, loss: 0.0566, lr: 0.000011, batch_cost: 1.2391, reader_cost: 0.00066, ips: 1.6141 samples/sec | ETA 10:05:29 2021-08-23 11:14:05 [INFO] [TRAIN] epoch: 352, iter: 130690/160000, loss: 0.0557, lr: 0.000011, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6389 samples/sec | ETA 09:56:07 2021-08-23 11:14:17 [INFO] [TRAIN] epoch: 352, iter: 130700/160000, loss: 0.0439, lr: 0.000011, batch_cost: 1.2151, reader_cost: 0.00020, ips: 1.6459 samples/sec | ETA 09:53:23 2021-08-23 11:14:29 [INFO] [TRAIN] epoch: 352, iter: 130710/160000, loss: 0.0621, lr: 0.000011, batch_cost: 1.2349, reader_cost: 0.00023, ips: 1.6196 samples/sec | ETA 10:02:50 2021-08-23 11:14:42 [INFO] [TRAIN] epoch: 352, iter: 130720/160000, loss: 0.0535, lr: 0.000011, batch_cost: 1.2400, reader_cost: 0.00023, ips: 1.6129 samples/sec | ETA 10:05:07 2021-08-23 11:14:54 [INFO] [TRAIN] epoch: 352, iter: 130730/160000, loss: 0.0446, lr: 0.000011, batch_cost: 1.2256, reader_cost: 0.00021, ips: 1.6318 samples/sec | ETA 09:57:54 2021-08-23 11:15:06 [INFO] [TRAIN] epoch: 352, iter: 130740/160000, loss: 0.0435, lr: 0.000011, batch_cost: 1.2350, reader_cost: 0.00022, ips: 1.6195 samples/sec | ETA 10:02:15 2021-08-23 11:15:19 [INFO] [TRAIN] epoch: 352, iter: 130750/160000, loss: 0.0542, lr: 0.000011, batch_cost: 1.2210, reader_cost: 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loss: 0.0555, lr: 0.000011, batch_cost: 1.2369, reader_cost: 0.00025, ips: 1.6169 samples/sec | ETA 10:01:45 2021-08-23 11:16:44 [INFO] [TRAIN] epoch: 352, iter: 130820/160000, loss: 0.0491, lr: 0.000011, batch_cost: 1.2301, reader_cost: 0.00022, ips: 1.6259 samples/sec | ETA 09:58:12 2021-08-23 11:16:57 [INFO] [TRAIN] epoch: 352, iter: 130830/160000, loss: 0.0420, lr: 0.000011, batch_cost: 1.2273, reader_cost: 0.00022, ips: 1.6296 samples/sec | ETA 09:56:41 2021-08-23 11:17:09 [INFO] [TRAIN] epoch: 352, iter: 130840/160000, loss: 0.0565, lr: 0.000011, batch_cost: 1.2376, reader_cost: 0.00022, ips: 1.6160 samples/sec | ETA 10:01:28 2021-08-23 11:17:21 [INFO] [TRAIN] epoch: 352, iter: 130850/160000, loss: 0.0411, lr: 0.000011, batch_cost: 1.2334, reader_cost: 0.00022, ips: 1.6215 samples/sec | ETA 09:59:14 2021-08-23 11:17:34 [INFO] [TRAIN] epoch: 352, iter: 130860/160000, loss: 0.0559, lr: 0.000011, batch_cost: 1.2334, reader_cost: 0.00021, ips: 1.6215 samples/sec | ETA 09:59:01 2021-08-23 11:17:46 [INFO] [TRAIN] epoch: 352, iter: 130870/160000, loss: 0.0464, lr: 0.000011, batch_cost: 1.2292, reader_cost: 0.00023, ips: 1.6271 samples/sec | ETA 09:56:46 2021-08-23 11:17:58 [INFO] [TRAIN] epoch: 352, iter: 130880/160000, loss: 0.0494, lr: 0.000011, batch_cost: 1.2321, reader_cost: 0.00022, ips: 1.6232 samples/sec | ETA 09:57:59 2021-08-23 11:18:11 [INFO] [TRAIN] epoch: 352, iter: 130890/160000, loss: 0.0490, lr: 0.000011, batch_cost: 1.2315, reader_cost: 0.00020, ips: 1.6240 samples/sec | ETA 09:57:28 2021-08-23 11:18:23 [INFO] [TRAIN] epoch: 352, iter: 130900/160000, loss: 0.0468, lr: 0.000011, batch_cost: 1.2340, reader_cost: 0.00022, ips: 1.6208 samples/sec | ETA 09:58:28 2021-08-23 11:18:35 [INFO] [TRAIN] epoch: 352, iter: 130910/160000, loss: 0.0473, lr: 0.000011, batch_cost: 1.2357, reader_cost: 0.00021, ips: 1.6186 samples/sec | ETA 09:59:05 2021-08-23 11:18:48 [INFO] [TRAIN] epoch: 352, iter: 130920/160000, loss: 0.0483, lr: 0.000011, batch_cost: 1.2319, reader_cost: 0.00025, ips: 1.6235 samples/sec | ETA 09:57:03 2021-08-23 11:19:00 [INFO] [TRAIN] epoch: 352, iter: 130930/160000, loss: 0.0458, lr: 0.000011, batch_cost: 1.2232, reader_cost: 0.00023, ips: 1.6351 samples/sec | ETA 09:52:37 2021-08-23 11:19:12 [INFO] [TRAIN] epoch: 352, iter: 130940/160000, loss: 0.0512, lr: 0.000011, batch_cost: 1.1894, reader_cost: 0.00017, ips: 1.6815 samples/sec | ETA 09:36:04 2021-08-23 11:19:27 [INFO] [TRAIN] epoch: 353, iter: 130950/160000, loss: 0.0619, lr: 0.000011, batch_cost: 1.4991, reader_cost: 0.22541, ips: 1.3342 samples/sec | ETA 12:05:47 2021-08-23 11:19:39 [INFO] [TRAIN] epoch: 353, iter: 130960/160000, loss: 0.0528, lr: 0.000011, batch_cost: 1.2346, reader_cost: 0.00079, ips: 1.6200 samples/sec | ETA 09:57:32 2021-08-23 11:19:51 [INFO] [TRAIN] epoch: 353, iter: 130970/160000, loss: 0.0504, lr: 0.000011, batch_cost: 1.2216, reader_cost: 0.00022, ips: 1.6372 samples/sec | ETA 09:51:02 2021-08-23 11:20:04 [INFO] [TRAIN] epoch: 353, iter: 130980/160000, loss: 0.0417, lr: 0.000011, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6338 samples/sec | ETA 09:52:03 2021-08-23 11:20:16 [INFO] [TRAIN] epoch: 353, iter: 130990/160000, loss: 0.0487, lr: 0.000011, batch_cost: 1.2446, reader_cost: 0.00022, ips: 1.6070 samples/sec | ETA 10:01:44 2021-08-23 11:20:28 [INFO] [TRAIN] epoch: 353, iter: 131000/160000, loss: 0.0516, lr: 0.000011, batch_cost: 1.2210, reader_cost: 0.00021, ips: 1.6380 samples/sec | ETA 09:50:08 2021-08-23 11:20:40 [INFO] [TRAIN] epoch: 353, iter: 131010/160000, loss: 0.0438, lr: 0.000011, batch_cost: 1.2112, reader_cost: 0.00021, ips: 1.6512 samples/sec | ETA 09:45:14 2021-08-23 11:20:53 [INFO] [TRAIN] epoch: 353, iter: 131020/160000, loss: 0.0537, lr: 0.000011, batch_cost: 1.2256, reader_cost: 0.00022, ips: 1.6318 samples/sec | ETA 09:51:59 2021-08-23 11:21:05 [INFO] [TRAIN] epoch: 353, iter: 131030/160000, loss: 0.0543, lr: 0.000011, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6254 samples/sec | ETA 09:54:05 2021-08-23 11:21:17 [INFO] [TRAIN] epoch: 353, iter: 131040/160000, loss: 0.0472, lr: 0.000011, batch_cost: 1.2260, reader_cost: 0.00022, ips: 1.6314 samples/sec | ETA 09:51:43 2021-08-23 11:21:29 [INFO] [TRAIN] epoch: 353, iter: 131050/160000, loss: 0.0490, lr: 0.000011, batch_cost: 1.2224, reader_cost: 0.00025, ips: 1.6361 samples/sec | ETA 09:49:49 2021-08-23 11:21:42 [INFO] [TRAIN] epoch: 353, iter: 131060/160000, loss: 0.0636, lr: 0.000011, batch_cost: 1.2233, reader_cost: 0.00022, ips: 1.6349 samples/sec | ETA 09:50:02 2021-08-23 11:21:54 [INFO] [TRAIN] epoch: 353, iter: 131070/160000, loss: 0.0569, lr: 0.000011, batch_cost: 1.2135, reader_cost: 0.00023, ips: 1.6481 samples/sec | ETA 09:45:06 2021-08-23 11:22:06 [INFO] [TRAIN] epoch: 353, iter: 131080/160000, loss: 0.0583, lr: 0.000011, batch_cost: 1.2196, reader_cost: 0.00021, ips: 1.6399 samples/sec | ETA 09:47:50 2021-08-23 11:22:18 [INFO] [TRAIN] epoch: 353, iter: 131090/160000, loss: 0.0561, lr: 0.000011, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6321 samples/sec | ETA 09:50:26 2021-08-23 11:22:31 [INFO] [TRAIN] epoch: 353, iter: 131100/160000, loss: 0.0490, lr: 0.000011, batch_cost: 1.2349, reader_cost: 0.00023, ips: 1.6196 samples/sec | ETA 09:54:48 2021-08-23 11:22:43 [INFO] [TRAIN] epoch: 353, iter: 131110/160000, loss: 0.0580, lr: 0.000011, batch_cost: 1.2322, reader_cost: 0.00022, ips: 1.6232 samples/sec | ETA 09:53:17 2021-08-23 11:22:55 [INFO] [TRAIN] epoch: 353, iter: 131120/160000, loss: 0.0477, lr: 0.000011, batch_cost: 1.2223, reader_cost: 0.00022, ips: 1.6363 samples/sec | ETA 09:48:18 2021-08-23 11:23:07 [INFO] [TRAIN] epoch: 353, iter: 131130/160000, loss: 0.0550, lr: 0.000011, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6322 samples/sec | ETA 09:49:36 2021-08-23 11:23:20 [INFO] [TRAIN] epoch: 353, iter: 131140/160000, loss: 0.0517, lr: 0.000011, batch_cost: 1.2234, reader_cost: 0.00022, ips: 1.6348 samples/sec | ETA 09:48:28 2021-08-23 11:23:32 [INFO] [TRAIN] epoch: 353, iter: 131150/160000, loss: 0.0549, lr: 0.000011, batch_cost: 1.2332, reader_cost: 0.00022, ips: 1.6218 samples/sec | ETA 09:52:57 2021-08-23 11:23:44 [INFO] [TRAIN] epoch: 353, iter: 131160/160000, loss: 0.0517, lr: 0.000011, batch_cost: 1.2149, reader_cost: 0.00024, ips: 1.6462 samples/sec | ETA 09:43:58 2021-08-23 11:23:57 [INFO] [TRAIN] epoch: 353, iter: 131170/160000, loss: 0.0427, lr: 0.000011, batch_cost: 1.2557, reader_cost: 0.00022, ips: 1.5928 samples/sec | ETA 10:03:20 2021-08-23 11:24:09 [INFO] [TRAIN] epoch: 353, iter: 131180/160000, loss: 0.0438, lr: 0.000011, batch_cost: 1.2252, reader_cost: 0.00023, ips: 1.6324 samples/sec | ETA 09:48:29 2021-08-23 11:24:21 [INFO] [TRAIN] epoch: 353, iter: 131190/160000, loss: 0.0508, lr: 0.000011, batch_cost: 1.2111, reader_cost: 0.00023, ips: 1.6514 samples/sec | ETA 09:41:31 2021-08-23 11:24:33 [INFO] [TRAIN] epoch: 353, iter: 131200/160000, loss: 0.0526, lr: 0.000011, batch_cost: 1.2194, reader_cost: 0.00021, ips: 1.6402 samples/sec | ETA 09:45:18 2021-08-23 11:24:46 [INFO] [TRAIN] epoch: 353, iter: 131210/160000, loss: 0.0486, lr: 0.000011, batch_cost: 1.2243, reader_cost: 0.00022, ips: 1.6336 samples/sec | ETA 09:47:27 2021-08-23 11:24:58 [INFO] [TRAIN] epoch: 353, iter: 131220/160000, loss: 0.0459, lr: 0.000011, batch_cost: 1.2314, reader_cost: 0.00023, ips: 1.6242 samples/sec | ETA 09:50:39 2021-08-23 11:25:10 [INFO] [TRAIN] epoch: 353, iter: 131230/160000, loss: 0.0485, lr: 0.000011, batch_cost: 1.2387, reader_cost: 0.00021, ips: 1.6146 samples/sec | ETA 09:53:56 2021-08-23 11:25:22 [INFO] [TRAIN] epoch: 353, iter: 131240/160000, loss: 0.0520, lr: 0.000011, batch_cost: 1.2232, reader_cost: 0.00024, ips: 1.6351 samples/sec | ETA 09:46:18 2021-08-23 11:25:35 [INFO] [TRAIN] epoch: 353, iter: 131250/160000, loss: 0.0404, lr: 0.000011, batch_cost: 1.2365, reader_cost: 0.00021, ips: 1.6175 samples/sec | ETA 09:52:28 2021-08-23 11:25:47 [INFO] [TRAIN] epoch: 353, iter: 131260/160000, loss: 0.0533, lr: 0.000011, batch_cost: 1.2383, reader_cost: 0.00022, ips: 1.6151 samples/sec | ETA 09:53:09 2021-08-23 11:25:59 [INFO] [TRAIN] epoch: 353, iter: 131270/160000, loss: 0.0484, lr: 0.000011, batch_cost: 1.2245, reader_cost: 0.00023, ips: 1.6333 samples/sec | ETA 09:46:20 2021-08-23 11:26:12 [INFO] [TRAIN] epoch: 353, iter: 131280/160000, loss: 0.0520, lr: 0.000011, batch_cost: 1.2216, reader_cost: 0.00021, ips: 1.6372 samples/sec | ETA 09:44:44 2021-08-23 11:26:24 [INFO] [TRAIN] epoch: 353, iter: 131290/160000, loss: 0.0457, lr: 0.000011, batch_cost: 1.2190, reader_cost: 0.00022, ips: 1.6407 samples/sec | ETA 09:43:17 2021-08-23 11:26:36 [INFO] [TRAIN] epoch: 353, iter: 131300/160000, loss: 0.0418, lr: 0.000011, batch_cost: 1.2435, reader_cost: 0.00021, ips: 1.6084 samples/sec | ETA 09:54:48 2021-08-23 11:26:48 [INFO] [TRAIN] epoch: 353, iter: 131310/160000, loss: 0.0458, lr: 0.000011, batch_cost: 1.1960, reader_cost: 0.00018, ips: 1.6723 samples/sec | ETA 09:31:52 2021-08-23 11:27:03 [INFO] [TRAIN] epoch: 354, iter: 131320/160000, loss: 0.0456, lr: 0.000011, batch_cost: 1.4948, reader_cost: 0.22417, ips: 1.3379 samples/sec | ETA 11:54:31 2021-08-23 11:27:16 [INFO] [TRAIN] epoch: 354, iter: 131330/160000, loss: 0.0605, lr: 0.000011, batch_cost: 1.2240, reader_cost: 0.00077, ips: 1.6340 samples/sec | ETA 09:44:51 2021-08-23 11:27:28 [INFO] [TRAIN] epoch: 354, iter: 131340/160000, loss: 0.0491, lr: 0.000011, batch_cost: 1.2258, reader_cost: 0.00021, ips: 1.6315 samples/sec | ETA 09:45:32 2021-08-23 11:27:40 [INFO] [TRAIN] epoch: 354, iter: 131350/160000, loss: 0.0511, lr: 0.000011, batch_cost: 1.2406, reader_cost: 0.00021, ips: 1.6121 samples/sec | ETA 09:52:23 2021-08-23 11:27:52 [INFO] [TRAIN] epoch: 354, iter: 131360/160000, loss: 0.0548, lr: 0.000011, batch_cost: 1.2135, reader_cost: 0.00021, ips: 1.6481 samples/sec | ETA 09:39:15 2021-08-23 11:28:05 [INFO] [TRAIN] epoch: 354, iter: 131370/160000, loss: 0.0470, lr: 0.000011, batch_cost: 1.2315, reader_cost: 0.00021, ips: 1.6240 samples/sec | ETA 09:47:38 2021-08-23 11:28:17 [INFO] [TRAIN] epoch: 354, iter: 131380/160000, loss: 0.0498, lr: 0.000011, batch_cost: 1.2165, reader_cost: 0.00023, ips: 1.6441 samples/sec | ETA 09:40:15 2021-08-23 11:28:29 [INFO] [TRAIN] epoch: 354, iter: 131390/160000, loss: 0.0432, lr: 0.000011, batch_cost: 1.2296, reader_cost: 0.00023, ips: 1.6265 samples/sec | ETA 09:46:20 2021-08-23 11:28:42 [INFO] [TRAIN] epoch: 354, iter: 131400/160000, loss: 0.0606, lr: 0.000011, batch_cost: 1.2476, reader_cost: 0.00023, ips: 1.6031 samples/sec | ETA 09:54:41 2021-08-23 11:28:54 [INFO] [TRAIN] epoch: 354, iter: 131410/160000, loss: 0.0464, lr: 0.000011, batch_cost: 1.2321, reader_cost: 0.00023, ips: 1.6233 samples/sec | ETA 09:47:04 2021-08-23 11:29:06 [INFO] [TRAIN] epoch: 354, iter: 131420/160000, loss: 0.0554, lr: 0.000011, batch_cost: 1.2377, reader_cost: 0.00022, ips: 1.6158 samples/sec | ETA 09:49:34 2021-08-23 11:29:19 [INFO] [TRAIN] epoch: 354, iter: 131430/160000, loss: 0.0433, lr: 0.000011, batch_cost: 1.2514, reader_cost: 0.00021, ips: 1.5982 samples/sec | ETA 09:55:53 2021-08-23 11:29:31 [INFO] [TRAIN] epoch: 354, iter: 131440/160000, loss: 0.0437, lr: 0.000011, batch_cost: 1.2176, reader_cost: 0.00022, ips: 1.6426 samples/sec | ETA 09:39:34 2021-08-23 11:29:43 [INFO] [TRAIN] epoch: 354, iter: 131450/160000, loss: 0.0497, lr: 0.000011, batch_cost: 1.2260, reader_cost: 0.00022, ips: 1.6313 samples/sec | ETA 09:43:23 2021-08-23 11:29:56 [INFO] [TRAIN] epoch: 354, iter: 131460/160000, loss: 0.0485, lr: 0.000011, batch_cost: 1.2337, reader_cost: 0.00023, ips: 1.6211 samples/sec | ETA 09:46:51 2021-08-23 11:30:08 [INFO] [TRAIN] epoch: 354, iter: 131470/160000, loss: 0.0471, lr: 0.000011, batch_cost: 1.2213, reader_cost: 0.00022, ips: 1.6376 samples/sec | ETA 09:40:44 2021-08-23 11:30:20 [INFO] [TRAIN] epoch: 354, iter: 131480/160000, loss: 0.0472, lr: 0.000011, batch_cost: 1.2504, reader_cost: 0.00025, ips: 1.5995 samples/sec | ETA 09:54:20 2021-08-23 11:30:32 [INFO] [TRAIN] epoch: 354, iter: 131490/160000, loss: 0.0401, lr: 0.000011, batch_cost: 1.2160, reader_cost: 0.00076, ips: 1.6447 samples/sec | ETA 09:37:48 2021-08-23 11:30:45 [INFO] [TRAIN] epoch: 354, iter: 131500/160000, loss: 0.0544, lr: 0.000011, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6361 samples/sec | ETA 09:40:39 2021-08-23 11:30:57 [INFO] [TRAIN] epoch: 354, iter: 131510/160000, loss: 0.0472, lr: 0.000011, batch_cost: 1.2425, reader_cost: 0.00023, ips: 1.6097 samples/sec | ETA 09:49:57 2021-08-23 11:31:09 [INFO] [TRAIN] epoch: 354, iter: 131520/160000, loss: 0.0473, lr: 0.000011, batch_cost: 1.2112, reader_cost: 0.00021, ips: 1.6513 samples/sec | ETA 09:34:54 2021-08-23 11:31:22 [INFO] [TRAIN] epoch: 354, iter: 131530/160000, loss: 0.0492, lr: 0.000011, batch_cost: 1.2574, reader_cost: 0.00020, ips: 1.5906 samples/sec | ETA 09:56:37 2021-08-23 11:31:34 [INFO] [TRAIN] epoch: 354, iter: 131540/160000, loss: 0.0552, lr: 0.000011, batch_cost: 1.2284, reader_cost: 0.00021, ips: 1.6281 samples/sec | ETA 09:42:41 2021-08-23 11:31:46 [INFO] [TRAIN] epoch: 354, iter: 131550/160000, loss: 0.0437, lr: 0.000011, batch_cost: 1.2343, reader_cost: 0.00021, ips: 1.6203 samples/sec | ETA 09:45:16 2021-08-23 11:31:59 [INFO] [TRAIN] epoch: 354, iter: 131560/160000, loss: 0.0468, lr: 0.000011, batch_cost: 1.2396, reader_cost: 0.00023, ips: 1.6134 samples/sec | ETA 09:47:34 2021-08-23 11:32:11 [INFO] [TRAIN] epoch: 354, iter: 131570/160000, loss: 0.0500, lr: 0.000011, batch_cost: 1.2322, reader_cost: 0.00022, ips: 1.6231 samples/sec | ETA 09:43:52 2021-08-23 11:32:23 [INFO] [TRAIN] epoch: 354, iter: 131580/160000, loss: 0.0507, lr: 0.000011, batch_cost: 1.2282, reader_cost: 0.00020, ips: 1.6284 samples/sec | ETA 09:41:46 2021-08-23 11:32:36 [INFO] [TRAIN] epoch: 354, iter: 131590/160000, loss: 0.0586, lr: 0.000011, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6329 samples/sec | ETA 09:39:56 2021-08-23 11:32:48 [INFO] [TRAIN] epoch: 354, iter: 131600/160000, loss: 0.0514, lr: 0.000011, batch_cost: 1.2245, reader_cost: 0.00023, ips: 1.6333 samples/sec | ETA 09:39:35 2021-08-23 11:33:00 [INFO] [TRAIN] epoch: 354, iter: 131610/160000, loss: 0.0537, lr: 0.000011, batch_cost: 1.2216, reader_cost: 0.00022, ips: 1.6372 samples/sec | ETA 09:38:00 2021-08-23 11:33:12 [INFO] [TRAIN] epoch: 354, iter: 131620/160000, loss: 0.0375, lr: 0.000011, batch_cost: 1.2300, reader_cost: 0.00021, ips: 1.6260 samples/sec | ETA 09:41:48 2021-08-23 11:33:25 [INFO] [TRAIN] epoch: 354, iter: 131630/160000, loss: 0.0522, lr: 0.000011, batch_cost: 1.2351, reader_cost: 0.00022, ips: 1.6193 samples/sec | ETA 09:44:00 2021-08-23 11:33:37 [INFO] [TRAIN] epoch: 354, iter: 131640/160000, loss: 0.0532, lr: 0.000011, batch_cost: 1.2270, reader_cost: 0.00022, ips: 1.6300 samples/sec | ETA 09:39:58 2021-08-23 11:33:49 [INFO] [TRAIN] epoch: 354, iter: 131650/160000, loss: 0.0488, lr: 0.000011, batch_cost: 1.2301, reader_cost: 0.00024, ips: 1.6258 samples/sec | ETA 09:41:14 2021-08-23 11:34:02 [INFO] [TRAIN] epoch: 354, iter: 131660/160000, loss: 0.0549, lr: 0.000011, batch_cost: 1.2312, reader_cost: 0.00023, ips: 1.6244 samples/sec | ETA 09:41:33 2021-08-23 11:34:14 [INFO] [TRAIN] epoch: 354, iter: 131670/160000, loss: 0.0492, lr: 0.000011, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6364 samples/sec | ETA 09:37:04 2021-08-23 11:34:26 [INFO] [TRAIN] epoch: 354, iter: 131680/160000, loss: 0.0407, lr: 0.000011, batch_cost: 1.2122, reader_cost: 0.00021, ips: 1.6499 samples/sec | ETA 09:32:09 2021-08-23 11:34:41 [INFO] [TRAIN] epoch: 355, iter: 131690/160000, loss: 0.0447, lr: 0.000011, batch_cost: 1.4810, reader_cost: 0.27342, ips: 1.3505 samples/sec | ETA 11:38:46 2021-08-23 11:34:53 [INFO] [TRAIN] epoch: 355, iter: 131700/160000, loss: 0.0417, lr: 0.000011, batch_cost: 1.2537, reader_cost: 0.00081, ips: 1.5952 samples/sec | ETA 09:51:20 2021-08-23 11:35:06 [INFO] [TRAIN] epoch: 355, iter: 131710/160000, loss: 0.0648, lr: 0.000011, batch_cost: 1.2195, reader_cost: 0.00023, ips: 1.6400 samples/sec | ETA 09:34:59 2021-08-23 11:35:18 [INFO] [TRAIN] epoch: 355, iter: 131720/160000, loss: 0.0485, lr: 0.000011, batch_cost: 1.2298, reader_cost: 0.00023, ips: 1.6263 samples/sec | ETA 09:39:37 2021-08-23 11:35:30 [INFO] [TRAIN] epoch: 355, iter: 131730/160000, loss: 0.0489, lr: 0.000011, batch_cost: 1.2116, reader_cost: 0.00021, ips: 1.6507 samples/sec | ETA 09:30:52 2021-08-23 11:35:42 [INFO] [TRAIN] epoch: 355, iter: 131740/160000, loss: 0.0508, lr: 0.000011, batch_cost: 1.2146, reader_cost: 0.00022, ips: 1.6466 samples/sec | ETA 09:32:05 2021-08-23 11:35:54 [INFO] [TRAIN] epoch: 355, iter: 131750/160000, loss: 0.0534, lr: 0.000011, batch_cost: 1.2055, reader_cost: 0.00023, ips: 1.6591 samples/sec | ETA 09:27:34 2021-08-23 11:36:06 [INFO] [TRAIN] epoch: 355, iter: 131760/160000, loss: 0.0481, lr: 0.000011, batch_cost: 1.2246, reader_cost: 0.00021, ips: 1.6332 samples/sec | ETA 09:36:23 2021-08-23 11:36:19 [INFO] [TRAIN] epoch: 355, iter: 131770/160000, loss: 0.0435, lr: 0.000011, batch_cost: 1.2244, reader_cost: 0.00021, ips: 1.6334 samples/sec | ETA 09:36:05 2021-08-23 11:36:31 [INFO] [TRAIN] epoch: 355, iter: 131780/160000, loss: 0.0432, lr: 0.000011, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6288 samples/sec | ETA 09:37:31 2021-08-23 11:36:43 [INFO] [TRAIN] epoch: 355, iter: 131790/160000, loss: 0.0430, lr: 0.000011, batch_cost: 1.2228, reader_cost: 0.00023, ips: 1.6356 samples/sec | ETA 09:34:55 2021-08-23 11:36:55 [INFO] [TRAIN] epoch: 355, iter: 131800/160000, loss: 0.0620, lr: 0.000011, batch_cost: 1.2262, reader_cost: 0.00023, ips: 1.6311 samples/sec | ETA 09:36:18 2021-08-23 11:37:08 [INFO] [TRAIN] epoch: 355, iter: 131810/160000, loss: 0.0427, lr: 0.000011, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 09:36:16 2021-08-23 11:37:20 [INFO] [TRAIN] epoch: 355, iter: 131820/160000, loss: 0.0432, lr: 0.000011, batch_cost: 1.2259, reader_cost: 0.00021, ips: 1.6314 samples/sec | ETA 09:35:46 2021-08-23 11:37:32 [INFO] [TRAIN] epoch: 355, iter: 131830/160000, loss: 0.0497, lr: 0.000011, batch_cost: 1.2150, reader_cost: 0.00022, ips: 1.6461 samples/sec | ETA 09:30:25 2021-08-23 11:37:44 [INFO] [TRAIN] epoch: 355, iter: 131840/160000, loss: 0.0544, lr: 0.000011, batch_cost: 1.2225, reader_cost: 0.00021, ips: 1.6360 samples/sec | ETA 09:33:45 2021-08-23 11:37:57 [INFO] [TRAIN] epoch: 355, iter: 131850/160000, loss: 0.0475, lr: 0.000011, batch_cost: 1.2442, reader_cost: 0.00023, ips: 1.6074 samples/sec | ETA 09:43:44 2021-08-23 11:38:09 [INFO] [TRAIN] epoch: 355, iter: 131860/160000, loss: 0.0428, lr: 0.000011, batch_cost: 1.2260, reader_cost: 0.00023, ips: 1.6313 samples/sec | ETA 09:34:59 2021-08-23 11:38:21 [INFO] [TRAIN] epoch: 355, iter: 131870/160000, loss: 0.0559, lr: 0.000011, batch_cost: 1.2349, reader_cost: 0.00023, ips: 1.6196 samples/sec | ETA 09:38:56 2021-08-23 11:38:34 [INFO] [TRAIN] epoch: 355, iter: 131880/160000, loss: 0.0580, lr: 0.000011, batch_cost: 1.2418, reader_cost: 0.00021, ips: 1.6105 samples/sec | ETA 09:42:00 2021-08-23 11:38:46 [INFO] [TRAIN] epoch: 355, iter: 131890/160000, loss: 0.0438, lr: 0.000011, batch_cost: 1.2344, reader_cost: 0.00022, ips: 1.6202 samples/sec | ETA 09:38:19 2021-08-23 11:38:58 [INFO] [TRAIN] epoch: 355, iter: 131900/160000, loss: 0.0459, lr: 0.000011, batch_cost: 1.2252, reader_cost: 0.00022, ips: 1.6324 samples/sec | ETA 09:33:47 2021-08-23 11:39:11 [INFO] [TRAIN] epoch: 355, iter: 131910/160000, loss: 0.0473, lr: 0.000011, batch_cost: 1.2255, reader_cost: 0.00022, ips: 1.6320 samples/sec | ETA 09:33:44 2021-08-23 11:39:23 [INFO] [TRAIN] epoch: 355, iter: 131920/160000, loss: 0.0401, lr: 0.000011, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6288 samples/sec | ETA 09:34:39 2021-08-23 11:39:35 [INFO] [TRAIN] epoch: 355, iter: 131930/160000, loss: 0.0580, lr: 0.000011, batch_cost: 1.2285, reader_cost: 0.00021, ips: 1.6279 samples/sec | ETA 09:34:45 2021-08-23 11:39:47 [INFO] [TRAIN] epoch: 355, iter: 131940/160000, loss: 0.0432, lr: 0.000011, batch_cost: 1.2202, reader_cost: 0.00021, ips: 1.6391 samples/sec | ETA 09:30:38 2021-08-23 11:40:00 [INFO] [TRAIN] epoch: 355, iter: 131950/160000, loss: 0.0515, lr: 0.000011, batch_cost: 1.2111, reader_cost: 0.00022, ips: 1.6514 samples/sec | ETA 09:26:11 2021-08-23 11:40:12 [INFO] [TRAIN] epoch: 355, iter: 131960/160000, loss: 0.0529, lr: 0.000011, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6340 samples/sec | ETA 09:31:59 2021-08-23 11:40:24 [INFO] [TRAIN] epoch: 355, iter: 131970/160000, loss: 0.0468, lr: 0.000011, batch_cost: 1.2296, reader_cost: 0.00021, ips: 1.6266 samples/sec | ETA 09:34:24 2021-08-23 11:40:36 [INFO] [TRAIN] epoch: 355, iter: 131980/160000, loss: 0.0463, lr: 0.000011, batch_cost: 1.2311, reader_cost: 0.00022, ips: 1.6246 samples/sec | ETA 09:34:54 2021-08-23 11:40:49 [INFO] [TRAIN] epoch: 355, iter: 131990/160000, loss: 0.0576, lr: 0.000011, batch_cost: 1.2233, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 09:31:03 2021-08-23 11:41:01 [INFO] [TRAIN] epoch: 355, iter: 132000/160000, loss: 0.0451, lr: 0.000011, batch_cost: 1.2204, reader_cost: 0.00023, ips: 1.6388 samples/sec | ETA 09:29:31 2021-08-23 11:41:01 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 6:58 - batch_cost: 3.3728 - reader cost: 0.3833 2/125 [..............................] - ETA: 5:53 - batch_cost: 2.8707 - reader cost: 0.1917 3/125 [..............................] - ETA: 5:19 - batch_cost: 2.6153 - reader cost: 0.1279 4/125 [..............................] - ETA: 4:58 - batch_cost: 2.4672 - reader cost: 0.0960 5/125 [>.............................] - ETA: 4:47 - batch_cost: 2.3961 - reader cost: 0.0768 6/125 [>.............................] - ETA: 4:39 - batch_cost: 2.3506 - reader cost: 0.0640 7/125 [>.............................] - ETA: 4:33 - batch_cost: 2.3180 - reader cost: 0.0549 8/125 [>.............................] - ETA: 4:28 - batch_cost: 2.2918 - reader cost: 0.0481 9/125 [=>............................] - ETA: 4:24 - batch_cost: 2.2799 - reader cost: 0.0428 10/125 [=>............................] - ETA: 4:19 - batch_cost: 2.2598 - reader cost: 0.0385 11/125 [=>............................] - ETA: 4:16 - batch_cost: 2.2503 - reader cost: 0.0350 12/125 [=>............................] - ETA: 4:12 - batch_cost: 2.2364 - reader cost: 0.0321 13/125 [==>...........................] - ETA: 4:09 - batch_cost: 2.2280 - reader cost: 0.0297 14/125 [==>...........................] - ETA: 4:06 - batch_cost: 2.2178 - reader cost: 0.0276 15/125 [==>...........................] - ETA: 4:03 - batch_cost: 2.2088 - reader cost: 0.0257 16/125 [==>...........................] - ETA: 3:59 - batch_cost: 2.1984 - reader cost: 0.0241 17/125 [===>..........................] - ETA: 3:56 - batch_cost: 2.1940 - reader cost: 0.0227 18/125 [===>..........................] - ETA: 3:54 - batch_cost: 2.1903 - reader cost: 0.0215 19/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.1862 - reader cost: 0.0204 20/125 [===>..........................] - ETA: 3:49 - batch_cost: 2.1825 - reader cost: 0.0193 21/125 [====>.........................] - ETA: 3:46 - batch_cost: 2.1781 - reader cost: 0.0184 22/125 [====>.........................] - ETA: 3:44 - batch_cost: 2.1756 - reader cost: 0.0176 23/125 [====>.........................] - ETA: 3:41 - batch_cost: 2.1715 - reader cost: 0.0169 24/125 [====>.........................] - ETA: 3:38 - batch_cost: 2.1659 - reader cost: 0.0162 25/125 [=====>........................] - ETA: 3:36 - batch_cost: 2.1619 - reader cost: 0.0155 26/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1570 - reader cost: 0.0149 27/125 [=====>........................] - ETA: 3:30 - batch_cost: 2.1515 - reader cost: 0.0144 28/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1476 - reader cost: 0.0139 29/125 [=====>........................] - ETA: 3:25 - batch_cost: 2.1437 - reader cost: 0.0134 30/125 [======>.......................] - ETA: 3:23 - batch_cost: 2.1412 - reader cost: 0.0130 31/125 [======>.......................] - ETA: 3:20 - batch_cost: 2.1379 - reader cost: 0.0126 32/125 [======>.......................] - ETA: 3:18 - batch_cost: 2.1357 - reader cost: 0.0122 33/125 [======>.......................] - ETA: 3:16 - batch_cost: 2.1319 - reader cost: 0.0118 34/125 [=======>......................] - ETA: 3:13 - batch_cost: 2.1291 - reader cost: 0.0115 35/125 [=======>......................] - ETA: 3:11 - batch_cost: 2.1274 - reader cost: 0.0111 36/125 [=======>......................] - ETA: 3:09 - batch_cost: 2.1250 - reader cost: 0.0108 37/125 [=======>......................] - ETA: 3:06 - batch_cost: 2.1232 - reader cost: 0.0105 38/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1212 - reader cost: 0.0103 39/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1198 - reader cost: 0.0100 40/125 [========>.....................] - ETA: 2:59 - batch_cost: 2.1162 - reader cost: 0.0098 41/125 [========>.....................] - ETA: 2:57 - batch_cost: 2.1154 - reader cost: 0.0095 42/125 [=========>....................] - ETA: 2:55 - batch_cost: 2.1133 - reader cost: 0.0093 43/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1138 - reader cost: 0.0091 44/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1117 - reader cost: 0.0089 45/125 [=========>....................] - ETA: 2:48 - batch_cost: 2.1086 - reader cost: 0.0087 46/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1066 - reader cost: 0.0085 47/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1039 - reader cost: 0.0083 48/125 [==========>...................] - ETA: 2:41 - batch_cost: 2.1017 - reader cost: 0.0082 49/125 [==========>...................] - ETA: 2:39 - batch_cost: 2.0990 - reader cost: 0.0080 50/125 [===========>..................] - ETA: 2:37 - batch_cost: 2.0975 - reader cost: 0.0079 51/125 [===========>..................] - ETA: 2:35 - batch_cost: 2.0957 - reader cost: 0.0077 52/125 [===========>..................] - ETA: 2:32 - batch_cost: 2.0946 - reader cost: 0.0076 53/125 [===========>..................] - ETA: 2:30 - batch_cost: 2.0943 - reader cost: 0.0074 54/125 [===========>..................] - ETA: 2:28 - batch_cost: 2.0934 - reader cost: 0.0073 55/125 [============>.................] - ETA: 2:26 - batch_cost: 2.0920 - reader cost: 0.0072 56/125 [============>.................] - ETA: 2:24 - batch_cost: 2.0911 - reader cost: 0.0070 57/125 [============>.................] - ETA: 2:22 - batch_cost: 2.0929 - reader cost: 0.0069 58/125 [============>.................] - ETA: 2:20 - batch_cost: 2.0926 - reader cost: 0.0068 59/125 [=============>................] - ETA: 2:18 - batch_cost: 2.0911 - reader cost: 0.0067 60/125 [=============>................] - ETA: 2:15 - batch_cost: 2.0898 - reader cost: 0.0066 61/125 [=============>................] - ETA: 2:13 - batch_cost: 2.0889 - reader cost: 0.0065 62/125 [=============>................] - ETA: 2:11 - batch_cost: 2.0885 - reader cost: 0.0064 63/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.0874 - reader cost: 0.0063 64/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.0890 - reader cost: 0.0062 65/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.0892 - reader cost: 0.0061 66/125 [==============>...............] - ETA: 2:03 - batch_cost: 2.0882 - reader cost: 0.0060 67/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.0874 - reader cost: 0.0059 68/125 [===============>..............] - ETA: 1:58 - batch_cost: 2.0870 - reader cost: 0.0058 69/125 [===============>..............] - ETA: 1:56 - batch_cost: 2.0866 - reader cost: 0.0057 70/125 [===============>..............] - ETA: 1:54 - batch_cost: 2.0860 - reader cost: 0.0057 71/125 [================>.............] - ETA: 1:52 - batch_cost: 2.0856 - reader cost: 0.0056 72/125 [================>.............] - ETA: 1:50 - batch_cost: 2.0853 - reader cost: 0.0055 73/125 [================>.............] - ETA: 1:48 - batch_cost: 2.0858 - reader cost: 0.0054 74/125 [================>.............] - ETA: 1:46 - batch_cost: 2.0867 - reader cost: 0.0054 75/125 [=================>............] - ETA: 1:44 - batch_cost: 2.0874 - reader cost: 0.0053 76/125 [=================>............] - ETA: 1:42 - batch_cost: 2.0880 - reader cost: 0.0052 77/125 [=================>............] - ETA: 1:40 - batch_cost: 2.0881 - reader cost: 0.0052 78/125 [=================>............] - ETA: 1:38 - batch_cost: 2.0885 - reader cost: 0.0051 79/125 [=================>............] - ETA: 1:36 - batch_cost: 2.0887 - reader cost: 0.0050 80/125 [==================>...........] - ETA: 1:34 - batch_cost: 2.0893 - reader cost: 0.0050 81/125 [==================>...........] - ETA: 1:31 - batch_cost: 2.0899 - reader cost: 0.0049 82/125 [==================>...........] - ETA: 1:29 - batch_cost: 2.0904 - reader cost: 0.0049 83/125 [==================>...........] - ETA: 1:27 - batch_cost: 2.0903 - reader cost: 0.0048 84/125 [===================>..........] - ETA: 1:25 - batch_cost: 2.0909 - reader cost: 0.0048 85/125 [===================>..........] - ETA: 1:23 - batch_cost: 2.0912 - reader cost: 0.0047 86/125 [===================>..........] - ETA: 1:21 - batch_cost: 2.0926 - reader cost: 0.0046 87/125 [===================>..........] - ETA: 1:19 - batch_cost: 2.0933 - reader cost: 0.0046 88/125 [====================>.........] - ETA: 1:17 - batch_cost: 2.0937 - reader cost: 0.0045 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.0937 - reader cost: 0.0045 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.0938 - reader cost: 0.0044 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.0936 - reader cost: 0.0044 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.0936 - reader cost: 0.0044 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.0938 - reader cost: 0.0043 94/125 [=====================>........] - ETA: 1:04 - batch_cost: 2.0945 - reader cost: 0.0043 95/125 [=====================>........] - ETA: 1:02 - batch_cost: 2.0947 - reader cost: 0.0042 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.0954 - reader cost: 0.0042 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.0954 - reader cost: 0.0041  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.0951 - reader cost: 0.0041 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.0943 - reader cost: 0.0041 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.0944 - reader cost: 0.0040 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.0940 - reader cost: 0.0040 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.0938 - reader cost: 0.0039 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.0933 - reader cost: 0.0039 104/125 [=======================>......] - ETA: 43s - batch_cost: 2.0937 - reader cost: 0.0039 105/125 [========================>.....] - ETA: 41s - batch_cost: 2.0933 - reader cost: 0.0038 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.0931 - reader cost: 0.0038 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.0935 - reader cost: 0.0038 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.0933 - reader cost: 0.0037 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.0934 - reader cost: 0.0037 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.0931 - reader cost: 0.0037 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.0932 - reader cost: 0.0036 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.0929 - reader cost: 0.0036 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.0927 - reader cost: 0.0036 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.0932 - reader cost: 0.0036 115/125 [==========================>...] - ETA: 20s - batch_cost: 2.0935 - reader cost: 0.0035 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.0939 - reader cost: 0.0035 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.0941 - reader cost: 0.0035 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.0937 - reader cost: 0.0034 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.0942 - reader cost: 0.0034 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.0942 - reader cost: 0.0034 121/125 [============================>.] - ETA: 8s - batch_cost: 2.0945 - reader cost: 0.0034  122/125 [============================>.] - ETA: 6s - batch_cost: 2.0947 - reader cost: 0.0033 123/125 [============================>.] - ETA: 4s - batch_cost: 2.0945 - reader cost: 0.0033 124/125 [============================>.] - ETA: 2s - batch_cost: 2.0948 - reader cost: 0.0033 125/125 [==============================] - 262s 2s/step - batch_cost: 2.0949 - reader cost: 0.0033 2021-08-23 11:45:23 [INFO] [EVAL] #Images: 500 mIoU: 0.8224 Acc: 0.9670 Kappa: 0.9572 2021-08-23 11:45:23 [INFO] [EVAL] Class IoU: [0.9836 0.867 0.938 0.6931 0.6647 0.7001 0.7566 0.8242 0.9322 0.6558 0.9563 0.8479 0.6734 0.9595 0.8778 0.9043 0.8631 0.7261 0.8018] 2021-08-23 11:45:23 [INFO] [EVAL] Class Acc: [0.9931 0.9192 0.9653 0.8917 0.8666 0.8444 0.8722 0.9138 0.9597 0.8509 0.9723 0.9051 0.8103 0.9773 0.9575 0.941 0.9577 0.8801 0.8745] 2021-08-23 11:45:26 [INFO] [EVAL] The model with the best validation mIoU (0.8245) was saved at iter 116000. 2021-08-23 11:45:38 [INFO] [TRAIN] epoch: 355, iter: 132010/160000, loss: 0.0481, lr: 0.000010, batch_cost: 1.2174, reader_cost: 0.00073, ips: 1.6429 samples/sec | ETA 09:27:54 2021-08-23 11:45:50 [INFO] [TRAIN] epoch: 355, iter: 132020/160000, loss: 0.0416, lr: 0.000010, batch_cost: 1.2223, reader_cost: 0.00022, ips: 1.6363 samples/sec | ETA 09:29:58 2021-08-23 11:46:02 [INFO] [TRAIN] epoch: 355, iter: 132030/160000, loss: 0.0405, lr: 0.000010, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6405 samples/sec | ETA 09:28:19 2021-08-23 11:46:14 [INFO] [TRAIN] epoch: 355, iter: 132040/160000, loss: 0.0448, lr: 0.000010, batch_cost: 1.2181, reader_cost: 0.00022, ips: 1.6419 samples/sec | ETA 09:27:39 2021-08-23 11:46:26 [INFO] [TRAIN] epoch: 355, iter: 132050/160000, loss: 0.0513, lr: 0.000010, batch_cost: 1.2179, reader_cost: 0.00020, ips: 1.6421 samples/sec | ETA 09:27:21 2021-08-23 11:46:38 [INFO] [TRAIN] epoch: 355, iter: 132060/160000, loss: 0.0520, lr: 0.000010, batch_cost: 1.1790, reader_cost: 0.00016, ips: 1.6963 samples/sec | ETA 09:09:02 2021-08-23 11:46:54 [INFO] [TRAIN] epoch: 356, iter: 132070/160000, loss: 0.0512, lr: 0.000010, batch_cost: 1.5249, reader_cost: 0.20312, ips: 1.3116 samples/sec | ETA 11:49:50 2021-08-23 11:47:06 [INFO] [TRAIN] epoch: 356, iter: 132080/160000, loss: 0.0441, lr: 0.000010, batch_cost: 1.2299, reader_cost: 0.00075, ips: 1.6261 samples/sec | ETA 09:32:19 2021-08-23 11:47:18 [INFO] [TRAIN] epoch: 356, iter: 132090/160000, loss: 0.0505, lr: 0.000010, batch_cost: 1.2192, reader_cost: 0.00021, ips: 1.6404 samples/sec | ETA 09:27:07 2021-08-23 11:47:30 [INFO] [TRAIN] epoch: 356, iter: 132100/160000, loss: 0.0474, lr: 0.000010, batch_cost: 1.2334, reader_cost: 0.00022, ips: 1.6215 samples/sec | ETA 09:33:32 2021-08-23 11:47:43 [INFO] [TRAIN] epoch: 356, iter: 132110/160000, loss: 0.0593, lr: 0.000010, batch_cost: 1.2203, reader_cost: 0.00023, ips: 1.6390 samples/sec | ETA 09:27:13 2021-08-23 11:47:55 [INFO] [TRAIN] epoch: 356, iter: 132120/160000, loss: 0.0474, lr: 0.000010, batch_cost: 1.2287, reader_cost: 0.00021, ips: 1.6278 samples/sec | ETA 09:30:55 2021-08-23 11:48:07 [INFO] [TRAIN] epoch: 356, iter: 132130/160000, loss: 0.0529, lr: 0.000010, batch_cost: 1.2188, reader_cost: 0.00021, ips: 1.6410 samples/sec | ETA 09:26:06 2021-08-23 11:48:19 [INFO] [TRAIN] epoch: 356, iter: 132140/160000, loss: 0.0466, lr: 0.000010, batch_cost: 1.2274, reader_cost: 0.00021, ips: 1.6294 samples/sec | ETA 09:29:55 2021-08-23 11:48:32 [INFO] [TRAIN] epoch: 356, iter: 132150/160000, loss: 0.0526, lr: 0.000010, batch_cost: 1.2329, reader_cost: 0.00022, ips: 1.6222 samples/sec | ETA 09:32:15 2021-08-23 11:48:44 [INFO] [TRAIN] epoch: 356, iter: 132160/160000, loss: 0.0491, lr: 0.000010, batch_cost: 1.2344, reader_cost: 0.00022, ips: 1.6202 samples/sec | ETA 09:32:45 2021-08-23 11:48:56 [INFO] [TRAIN] epoch: 356, iter: 132170/160000, loss: 0.0576, lr: 0.000010, batch_cost: 1.2303, reader_cost: 0.00021, ips: 1.6256 samples/sec | ETA 09:30:39 2021-08-23 11:49:09 [INFO] [TRAIN] epoch: 356, iter: 132180/160000, loss: 0.0517, lr: 0.000010, batch_cost: 1.2478, reader_cost: 0.00022, ips: 1.6029 samples/sec | ETA 09:38:32 2021-08-23 11:49:21 [INFO] [TRAIN] epoch: 356, iter: 132190/160000, loss: 0.0547, lr: 0.000010, batch_cost: 1.2127, reader_cost: 0.00021, ips: 1.6492 samples/sec | ETA 09:22:06 2021-08-23 11:49:33 [INFO] [TRAIN] epoch: 356, iter: 132200/160000, loss: 0.0510, lr: 0.000010, batch_cost: 1.2179, reader_cost: 0.00024, ips: 1.6422 samples/sec | ETA 09:24:17 2021-08-23 11:49:45 [INFO] [TRAIN] epoch: 356, iter: 132210/160000, loss: 0.0439, lr: 0.000010, batch_cost: 1.2312, reader_cost: 0.00021, ips: 1.6245 samples/sec | ETA 09:30:14 2021-08-23 11:49:58 [INFO] [TRAIN] epoch: 356, iter: 132220/160000, loss: 0.0449, lr: 0.000010, batch_cost: 1.2413, reader_cost: 0.00022, ips: 1.6112 samples/sec | ETA 09:34:44 2021-08-23 11:50:10 [INFO] [TRAIN] epoch: 356, iter: 132230/160000, loss: 0.0451, lr: 0.000010, batch_cost: 1.2227, reader_cost: 0.00022, ips: 1.6358 samples/sec | ETA 09:25:53 2021-08-23 11:50:22 [INFO] [TRAIN] epoch: 356, iter: 132240/160000, loss: 0.0565, lr: 0.000010, batch_cost: 1.2183, reader_cost: 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loss: 0.0547, lr: 0.000010, batch_cost: 1.2398, reader_cost: 0.00025, ips: 1.6131 samples/sec | ETA 09:32:23 2021-08-23 11:51:48 [INFO] [TRAIN] epoch: 356, iter: 132310/160000, loss: 0.0489, lr: 0.000010, batch_cost: 1.2412, reader_cost: 0.00026, ips: 1.6113 samples/sec | ETA 09:32:49 2021-08-23 11:52:00 [INFO] [TRAIN] epoch: 356, iter: 132320/160000, loss: 0.0492, lr: 0.000010, batch_cost: 1.2275, reader_cost: 0.00024, ips: 1.6293 samples/sec | ETA 09:26:16 2021-08-23 11:52:13 [INFO] [TRAIN] epoch: 356, iter: 132330/160000, loss: 0.0419, lr: 0.000010, batch_cost: 1.2319, reader_cost: 0.00021, ips: 1.6234 samples/sec | ETA 09:28:08 2021-08-23 11:52:25 [INFO] [TRAIN] epoch: 356, iter: 132340/160000, loss: 0.0421, lr: 0.000010, batch_cost: 1.2239, reader_cost: 0.00023, ips: 1.6342 samples/sec | ETA 09:24:11 2021-08-23 11:52:37 [INFO] [TRAIN] epoch: 356, iter: 132350/160000, loss: 0.0479, lr: 0.000010, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6373 samples/sec | ETA 09:22:55 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09:24:09 2021-08-23 11:56:20 [INFO] [TRAIN] epoch: 357, iter: 132530/160000, loss: 0.0535, lr: 0.000010, batch_cost: 1.2225, reader_cost: 0.00021, ips: 1.6360 samples/sec | ETA 09:19:42 2021-08-23 11:56:33 [INFO] [TRAIN] epoch: 357, iter: 132540/160000, loss: 0.0518, lr: 0.000010, batch_cost: 1.2247, reader_cost: 0.00024, ips: 1.6330 samples/sec | ETA 09:20:30 2021-08-23 11:56:45 [INFO] [TRAIN] epoch: 357, iter: 132550/160000, loss: 0.0501, lr: 0.000010, batch_cost: 1.2175, reader_cost: 0.00022, ips: 1.6427 samples/sec | ETA 09:16:59 2021-08-23 11:56:57 [INFO] [TRAIN] epoch: 357, iter: 132560/160000, loss: 0.0518, lr: 0.000010, batch_cost: 1.2397, reader_cost: 0.00023, ips: 1.6133 samples/sec | ETA 09:26:57 2021-08-23 11:57:09 [INFO] [TRAIN] epoch: 357, iter: 132570/160000, loss: 0.0504, lr: 0.000010, batch_cost: 1.2147, reader_cost: 0.00022, ips: 1.6465 samples/sec | ETA 09:15:18 2021-08-23 11:57:22 [INFO] [TRAIN] epoch: 357, iter: 132580/160000, loss: 0.0505, lr: 0.000010, 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epoch: 357, iter: 132640/160000, loss: 0.0446, lr: 0.000010, batch_cost: 1.2168, reader_cost: 0.00022, ips: 1.6436 samples/sec | ETA 09:14:52 2021-08-23 11:58:47 [INFO] [TRAIN] epoch: 357, iter: 132650/160000, loss: 0.0462, lr: 0.000010, batch_cost: 1.2138, reader_cost: 0.00021, ips: 1.6478 samples/sec | ETA 09:13:16 2021-08-23 11:58:59 [INFO] [TRAIN] epoch: 357, iter: 132660/160000, loss: 0.0647, lr: 0.000010, batch_cost: 1.2017, reader_cost: 0.00023, ips: 1.6643 samples/sec | ETA 09:07:33 2021-08-23 11:59:11 [INFO] [TRAIN] epoch: 357, iter: 132670/160000, loss: 0.0500, lr: 0.000010, batch_cost: 1.2379, reader_cost: 0.00020, ips: 1.6156 samples/sec | ETA 09:23:52 2021-08-23 11:59:24 [INFO] [TRAIN] epoch: 357, iter: 132680/160000, loss: 0.0511, lr: 0.000010, batch_cost: 1.2156, reader_cost: 0.00020, ips: 1.6453 samples/sec | ETA 09:13:29 2021-08-23 11:59:36 [INFO] [TRAIN] epoch: 357, iter: 132690/160000, loss: 0.0526, lr: 0.000010, batch_cost: 1.2067, reader_cost: 0.00019, ips: 1.6574 samples/sec | ETA 09:09:14 2021-08-23 11:59:48 [INFO] [TRAIN] epoch: 357, iter: 132700/160000, loss: 0.0485, lr: 0.000010, batch_cost: 1.2163, reader_cost: 0.00020, ips: 1.6443 samples/sec | ETA 09:13:25 2021-08-23 12:00:00 [INFO] [TRAIN] epoch: 357, iter: 132710/160000, loss: 0.0465, lr: 0.000010, batch_cost: 1.2599, reader_cost: 0.00020, ips: 1.5875 samples/sec | ETA 09:33:01 2021-08-23 12:00:13 [INFO] [TRAIN] epoch: 357, iter: 132720/160000, loss: 0.0451, lr: 0.000010, batch_cost: 1.2311, reader_cost: 0.00023, ips: 1.6246 samples/sec | ETA 09:19:43 2021-08-23 12:00:25 [INFO] [TRAIN] epoch: 357, iter: 132730/160000, loss: 0.0605, lr: 0.000010, batch_cost: 1.2161, reader_cost: 0.00022, ips: 1.6446 samples/sec | ETA 09:12:43 2021-08-23 12:00:37 [INFO] [TRAIN] epoch: 357, iter: 132740/160000, loss: 0.0382, lr: 0.000010, batch_cost: 1.2217, reader_cost: 0.00022, ips: 1.6371 samples/sec | ETA 09:15:02 2021-08-23 12:00:49 [INFO] [TRAIN] epoch: 357, iter: 132750/160000, loss: 0.0503, lr: 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[INFO] [TRAIN] epoch: 358, iter: 132810/160000, loss: 0.0458, lr: 0.000010, batch_cost: 1.4933, reader_cost: 0.21464, ips: 1.3393 samples/sec | ETA 11:16:43 2021-08-23 12:02:18 [INFO] [TRAIN] epoch: 358, iter: 132820/160000, loss: 0.0501, lr: 0.000010, batch_cost: 1.2430, reader_cost: 0.00085, ips: 1.6090 samples/sec | ETA 09:23:04 2021-08-23 12:02:30 [INFO] [TRAIN] epoch: 358, iter: 132830/160000, loss: 0.0513, lr: 0.000010, batch_cost: 1.2174, reader_cost: 0.00022, ips: 1.6429 samples/sec | ETA 09:11:16 2021-08-23 12:02:42 [INFO] [TRAIN] epoch: 358, iter: 132840/160000, loss: 0.0522, lr: 0.000010, batch_cost: 1.2287, reader_cost: 0.00076, ips: 1.6277 samples/sec | ETA 09:16:12 2021-08-23 12:02:54 [INFO] [TRAIN] epoch: 358, iter: 132850/160000, loss: 0.0514, lr: 0.000010, batch_cost: 1.2223, reader_cost: 0.00024, ips: 1.6362 samples/sec | ETA 09:13:06 2021-08-23 12:03:06 [INFO] [TRAIN] epoch: 358, iter: 132860/160000, loss: 0.0532, lr: 0.000010, batch_cost: 1.2227, reader_cost: 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09:12:07 2021-08-23 12:09:03 [INFO] [TRAIN] epoch: 358, iter: 133150/160000, loss: 0.0527, lr: 0.000010, batch_cost: 1.2181, reader_cost: 0.00020, ips: 1.6419 samples/sec | ETA 09:05:06 2021-08-23 12:09:15 [INFO] [TRAIN] epoch: 358, iter: 133160/160000, loss: 0.0552, lr: 0.000010, batch_cost: 1.2305, reader_cost: 0.00021, ips: 1.6254 samples/sec | ETA 09:10:25 2021-08-23 12:09:28 [INFO] [TRAIN] epoch: 358, iter: 133170/160000, loss: 0.0468, lr: 0.000010, batch_cost: 1.2116, reader_cost: 0.00019, ips: 1.6507 samples/sec | ETA 09:01:46 2021-08-23 12:09:42 [INFO] [TRAIN] epoch: 359, iter: 133180/160000, loss: 0.0508, lr: 0.000010, batch_cost: 1.4743, reader_cost: 0.23757, ips: 1.3566 samples/sec | ETA 10:58:59 2021-08-23 12:09:54 [INFO] [TRAIN] epoch: 359, iter: 133190/160000, loss: 0.0444, lr: 0.000010, batch_cost: 1.2211, reader_cost: 0.00081, ips: 1.6379 samples/sec | ETA 09:05:37 2021-08-23 12:10:07 [INFO] [TRAIN] epoch: 359, iter: 133200/160000, loss: 0.0507, lr: 0.000010, batch_cost: 1.2326, reader_cost: 0.00022, ips: 1.6226 samples/sec | ETA 09:10:33 2021-08-23 12:10:19 [INFO] [TRAIN] epoch: 359, iter: 133210/160000, loss: 0.0469, lr: 0.000010, batch_cost: 1.2216, reader_cost: 0.00021, ips: 1.6372 samples/sec | ETA 09:05:26 2021-08-23 12:10:31 [INFO] [TRAIN] epoch: 359, iter: 133220/160000, loss: 0.0464, lr: 0.000010, batch_cost: 1.2285, reader_cost: 0.00077, ips: 1.6280 samples/sec | ETA 09:08:19 2021-08-23 12:10:43 [INFO] [TRAIN] epoch: 359, iter: 133230/160000, loss: 0.0430, lr: 0.000010, batch_cost: 1.2186, reader_cost: 0.00021, ips: 1.6412 samples/sec | ETA 09:03:41 2021-08-23 12:10:56 [INFO] [TRAIN] epoch: 359, iter: 133240/160000, loss: 0.0467, lr: 0.000010, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6390 samples/sec | ETA 09:04:14 2021-08-23 12:11:08 [INFO] [TRAIN] epoch: 359, iter: 133250/160000, loss: 0.0601, lr: 0.000010, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6404 samples/sec | ETA 09:03:34 2021-08-23 12:11:20 [INFO] [TRAIN] epoch: 359, iter: 133260/160000, loss: 0.0500, lr: 0.000010, batch_cost: 1.2330, reader_cost: 0.00021, ips: 1.6221 samples/sec | ETA 09:09:29 2021-08-23 12:11:32 [INFO] [TRAIN] epoch: 359, iter: 133270/160000, loss: 0.0494, lr: 0.000010, batch_cost: 1.2254, reader_cost: 0.00021, ips: 1.6321 samples/sec | ETA 09:05:55 2021-08-23 12:11:45 [INFO] [TRAIN] epoch: 359, iter: 133280/160000, loss: 0.0506, lr: 0.000010, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 09:03:57 2021-08-23 12:11:57 [INFO] [TRAIN] epoch: 359, iter: 133290/160000, loss: 0.0549, lr: 0.000010, batch_cost: 1.2289, reader_cost: 0.00024, ips: 1.6274 samples/sec | ETA 09:07:05 2021-08-23 12:12:09 [INFO] [TRAIN] epoch: 359, iter: 133300/160000, loss: 0.0425, lr: 0.000010, batch_cost: 1.2206, reader_cost: 0.00023, ips: 1.6385 samples/sec | ETA 09:03:10 2021-08-23 12:12:22 [INFO] [TRAIN] epoch: 359, iter: 133310/160000, loss: 0.0448, lr: 0.000010, batch_cost: 1.2601, reader_cost: 0.00021, ips: 1.5872 samples/sec | ETA 09:20:32 2021-08-23 12:12:34 [INFO] [TRAIN] epoch: 359, iter: 133320/160000, loss: 0.0441, lr: 0.000010, batch_cost: 1.2286, reader_cost: 0.00022, ips: 1.6278 samples/sec | ETA 09:06:19 2021-08-23 12:12:46 [INFO] [TRAIN] epoch: 359, iter: 133330/160000, loss: 0.0424, lr: 0.000010, batch_cost: 1.2174, reader_cost: 0.00023, ips: 1.6428 samples/sec | ETA 09:01:08 2021-08-23 12:12:58 [INFO] [TRAIN] epoch: 359, iter: 133340/160000, loss: 0.0569, lr: 0.000010, batch_cost: 1.2164, reader_cost: 0.00023, ips: 1.6442 samples/sec | ETA 09:00:28 2021-08-23 12:13:11 [INFO] [TRAIN] epoch: 359, iter: 133350/160000, loss: 0.0474, lr: 0.000010, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6255 samples/sec | ETA 09:06:30 2021-08-23 12:13:23 [INFO] [TRAIN] epoch: 359, iter: 133360/160000, loss: 0.0579, lr: 0.000010, batch_cost: 1.2398, reader_cost: 0.00022, ips: 1.6132 samples/sec | ETA 09:10:28 2021-08-23 12:13:35 [INFO] [TRAIN] epoch: 359, iter: 133370/160000, loss: 0.0456, lr: 0.000010, batch_cost: 1.2362, reader_cost: 0.00021, ips: 1.6178 samples/sec | ETA 09:08:40 2021-08-23 12:13:48 [INFO] [TRAIN] epoch: 359, iter: 133380/160000, loss: 0.0490, lr: 0.000010, batch_cost: 1.2285, reader_cost: 0.00021, ips: 1.6280 samples/sec | ETA 09:05:01 2021-08-23 12:14:00 [INFO] [TRAIN] epoch: 359, iter: 133390/160000, loss: 0.0511, lr: 0.000010, batch_cost: 1.2256, reader_cost: 0.00021, ips: 1.6319 samples/sec | ETA 09:03:32 2021-08-23 12:14:12 [INFO] [TRAIN] epoch: 359, iter: 133400/160000, loss: 0.0444, lr: 0.000010, batch_cost: 1.2197, reader_cost: 0.00023, ips: 1.6397 samples/sec | ETA 09:00:44 2021-08-23 12:14:24 [INFO] [TRAIN] epoch: 359, iter: 133410/160000, loss: 0.0520, lr: 0.000010, batch_cost: 1.2087, reader_cost: 0.00020, ips: 1.6547 samples/sec | ETA 08:55:38 2021-08-23 12:14:37 [INFO] [TRAIN] epoch: 359, iter: 133420/160000, loss: 0.0506, lr: 0.000010, batch_cost: 1.2257, reader_cost: 0.00021, ips: 1.6317 samples/sec | ETA 09:03:00 2021-08-23 12:14:49 [INFO] [TRAIN] epoch: 359, iter: 133430/160000, loss: 0.0589, lr: 0.000010, batch_cost: 1.2475, reader_cost: 0.00023, ips: 1.6032 samples/sec | ETA 09:12:26 2021-08-23 12:15:01 [INFO] [TRAIN] epoch: 359, iter: 133440/160000, loss: 0.0390, lr: 0.000010, batch_cost: 1.2380, reader_cost: 0.00023, ips: 1.6155 samples/sec | ETA 09:08:02 2021-08-23 12:15:14 [INFO] [TRAIN] epoch: 359, iter: 133450/160000, loss: 0.0598, lr: 0.000010, batch_cost: 1.2386, reader_cost: 0.00022, ips: 1.6147 samples/sec | ETA 09:08:04 2021-08-23 12:15:26 [INFO] [TRAIN] epoch: 359, iter: 133460/160000, loss: 0.0450, lr: 0.000010, batch_cost: 1.2211, reader_cost: 0.00021, ips: 1.6379 samples/sec | ETA 09:00:07 2021-08-23 12:15:38 [INFO] [TRAIN] epoch: 359, iter: 133470/160000, loss: 0.0556, lr: 0.000010, batch_cost: 1.2309, reader_cost: 0.00024, ips: 1.6249 samples/sec | ETA 09:04:15 2021-08-23 12:15:51 [INFO] [TRAIN] epoch: 359, iter: 133480/160000, loss: 0.0460, lr: 0.000010, batch_cost: 1.2357, reader_cost: 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loss: 0.0582, lr: 0.000010, batch_cost: 1.2131, reader_cost: 0.00019, ips: 1.6486 samples/sec | ETA 08:54:59 2021-08-23 12:17:19 [INFO] [TRAIN] epoch: 360, iter: 133550/160000, loss: 0.0568, lr: 0.000010, batch_cost: 1.4682, reader_cost: 0.24816, ips: 1.3622 samples/sec | ETA 10:47:15 2021-08-23 12:17:31 [INFO] [TRAIN] epoch: 360, iter: 133560/160000, loss: 0.0566, lr: 0.000010, batch_cost: 1.2296, reader_cost: 0.00077, ips: 1.6265 samples/sec | ETA 09:01:51 2021-08-23 12:17:43 [INFO] [TRAIN] epoch: 360, iter: 133570/160000, loss: 0.0540, lr: 0.000010, batch_cost: 1.2254, reader_cost: 0.00020, ips: 1.6321 samples/sec | ETA 08:59:46 2021-08-23 12:17:56 [INFO] [TRAIN] epoch: 360, iter: 133580/160000, loss: 0.0503, lr: 0.000010, batch_cost: 1.2269, reader_cost: 0.00023, ips: 1.6301 samples/sec | ETA 09:00:14 2021-08-23 12:18:08 [INFO] [TRAIN] epoch: 360, iter: 133590/160000, loss: 0.0397, lr: 0.000010, batch_cost: 1.2211, reader_cost: 0.00085, ips: 1.6378 samples/sec | ETA 08:57:30 2021-08-23 12:18:20 [INFO] [TRAIN] epoch: 360, iter: 133600/160000, loss: 0.0535, lr: 0.000010, batch_cost: 1.2146, reader_cost: 0.00021, ips: 1.6466 samples/sec | ETA 08:54:25 2021-08-23 12:18:32 [INFO] [TRAIN] epoch: 360, iter: 133610/160000, loss: 0.0467, lr: 0.000010, batch_cost: 1.2160, reader_cost: 0.00021, ips: 1.6448 samples/sec | ETA 08:54:49 2021-08-23 12:18:44 [INFO] [TRAIN] epoch: 360, iter: 133620/160000, loss: 0.0445, lr: 0.000010, batch_cost: 1.2164, reader_cost: 0.00022, ips: 1.6442 samples/sec | ETA 08:54:47 2021-08-23 12:18:57 [INFO] [TRAIN] epoch: 360, iter: 133630/160000, loss: 0.0438, lr: 0.000010, batch_cost: 1.2276, reader_cost: 0.00022, ips: 1.6292 samples/sec | ETA 08:59:31 2021-08-23 12:19:09 [INFO] [TRAIN] epoch: 360, iter: 133640/160000, loss: 0.0460, lr: 0.000010, batch_cost: 1.2134, reader_cost: 0.00021, ips: 1.6482 samples/sec | ETA 08:53:06 2021-08-23 12:19:21 [INFO] [TRAIN] epoch: 360, iter: 133650/160000, loss: 0.0420, lr: 0.000010, batch_cost: 1.2267, 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08:53:50 2021-08-23 12:21:48 [INFO] [TRAIN] epoch: 360, iter: 133770/160000, loss: 0.0470, lr: 0.000010, batch_cost: 1.2273, reader_cost: 0.00020, ips: 1.6295 samples/sec | ETA 08:56:33 2021-08-23 12:22:00 [INFO] [TRAIN] epoch: 360, iter: 133780/160000, loss: 0.0488, lr: 0.000010, batch_cost: 1.2224, reader_cost: 0.00020, ips: 1.6361 samples/sec | ETA 08:54:12 2021-08-23 12:22:12 [INFO] [TRAIN] epoch: 360, iter: 133790/160000, loss: 0.0519, lr: 0.000010, batch_cost: 1.2097, reader_cost: 0.00021, ips: 1.6533 samples/sec | ETA 08:48:25 2021-08-23 12:22:24 [INFO] [TRAIN] epoch: 360, iter: 133800/160000, loss: 0.0585, lr: 0.000010, batch_cost: 1.2212, reader_cost: 0.00021, ips: 1.6378 samples/sec | ETA 08:53:14 2021-08-23 12:22:37 [INFO] [TRAIN] epoch: 360, iter: 133810/160000, loss: 0.0402, lr: 0.000010, batch_cost: 1.2225, reader_cost: 0.00023, ips: 1.6360 samples/sec | ETA 08:53:37 2021-08-23 12:22:49 [INFO] [TRAIN] epoch: 360, iter: 133820/160000, loss: 0.0470, lr: 0.000010, batch_cost: 1.2304, reader_cost: 0.00021, ips: 1.6255 samples/sec | ETA 08:56:52 2021-08-23 12:23:01 [INFO] [TRAIN] epoch: 360, iter: 133830/160000, loss: 0.0581, lr: 0.000010, batch_cost: 1.2169, reader_cost: 0.00023, ips: 1.6435 samples/sec | ETA 08:50:45 2021-08-23 12:23:13 [INFO] [TRAIN] epoch: 360, iter: 133840/160000, loss: 0.0403, lr: 0.000010, batch_cost: 1.2214, reader_cost: 0.00022, ips: 1.6375 samples/sec | ETA 08:52:30 2021-08-23 12:23:25 [INFO] [TRAIN] epoch: 360, iter: 133850/160000, loss: 0.0562, lr: 0.000010, batch_cost: 1.2159, reader_cost: 0.00021, ips: 1.6448 samples/sec | ETA 08:49:56 2021-08-23 12:23:38 [INFO] [TRAIN] epoch: 360, iter: 133860/160000, loss: 0.0518, lr: 0.000010, batch_cost: 1.2178, reader_cost: 0.00022, ips: 1.6422 samples/sec | ETA 08:50:34 2021-08-23 12:23:50 [INFO] [TRAIN] epoch: 360, iter: 133870/160000, loss: 0.0560, lr: 0.000010, batch_cost: 1.2352, reader_cost: 0.00022, ips: 1.6192 samples/sec | ETA 08:57:55 2021-08-23 12:24:02 [INFO] [TRAIN] epoch: 360, iter: 133880/160000, loss: 0.0497, lr: 0.000010, batch_cost: 1.2273, reader_cost: 0.00023, ips: 1.6296 samples/sec | ETA 08:54:16 2021-08-23 12:24:15 [INFO] [TRAIN] epoch: 360, iter: 133890/160000, loss: 0.0528, lr: 0.000010, batch_cost: 1.2316, reader_cost: 0.00021, ips: 1.6239 samples/sec | ETA 08:55:56 2021-08-23 12:24:27 [INFO] [TRAIN] epoch: 360, iter: 133900/160000, loss: 0.0551, lr: 0.000010, batch_cost: 1.2456, reader_cost: 0.00022, ips: 1.6057 samples/sec | ETA 09:01:49 2021-08-23 12:24:39 [INFO] [TRAIN] epoch: 360, iter: 133910/160000, loss: 0.0464, lr: 0.000010, batch_cost: 1.2174, reader_cost: 0.00020, ips: 1.6428 samples/sec | ETA 08:49:21 2021-08-23 12:24:51 [INFO] [TRAIN] epoch: 360, iter: 133920/160000, loss: 0.0485, lr: 0.000010, batch_cost: 1.2013, reader_cost: 0.00015, ips: 1.6649 samples/sec | ETA 08:42:09 2021-08-23 12:25:06 [INFO] [TRAIN] epoch: 361, iter: 133930/160000, loss: 0.0459, lr: 0.000010, batch_cost: 1.5223, reader_cost: 0.21828, ips: 1.3138 samples/sec | ETA 11:01:25 2021-08-23 12:25:19 [INFO] [TRAIN] epoch: 361, iter: 133940/160000, loss: 0.0578, lr: 0.000010, batch_cost: 1.2378, reader_cost: 0.00078, ips: 1.6158 samples/sec | ETA 08:57:36 2021-08-23 12:25:31 [INFO] [TRAIN] epoch: 361, iter: 133950/160000, loss: 0.0514, lr: 0.000010, batch_cost: 1.2181, reader_cost: 0.00022, ips: 1.6419 samples/sec | ETA 08:48:52 2021-08-23 12:25:43 [INFO] [TRAIN] epoch: 361, iter: 133960/160000, loss: 0.0510, lr: 0.000010, batch_cost: 1.2333, reader_cost: 0.00021, ips: 1.6216 samples/sec | ETA 08:55:15 2021-08-23 12:25:56 [INFO] [TRAIN] epoch: 361, iter: 133970/160000, loss: 0.0428, lr: 0.000010, batch_cost: 1.2224, reader_cost: 0.00023, ips: 1.6362 samples/sec | ETA 08:50:18 2021-08-23 12:26:08 [INFO] [TRAIN] epoch: 361, iter: 133980/160000, loss: 0.0423, lr: 0.000010, batch_cost: 1.2285, reader_cost: 0.00023, ips: 1.6280 samples/sec | ETA 08:52:44 2021-08-23 12:26:20 [INFO] [TRAIN] epoch: 361, iter: 133990/160000, loss: 0.0508, lr: 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[INFO] [TRAIN] epoch: 361, iter: 134050/160000, loss: 0.0548, lr: 0.000010, batch_cost: 1.2076, reader_cost: 0.00021, ips: 1.6562 samples/sec | ETA 08:42:16 2021-08-23 12:27:46 [INFO] [TRAIN] epoch: 361, iter: 134060/160000, loss: 0.0525, lr: 0.000010, batch_cost: 1.2145, reader_cost: 0.00022, ips: 1.6468 samples/sec | ETA 08:45:02 2021-08-23 12:27:58 [INFO] [TRAIN] epoch: 361, iter: 134070/160000, loss: 0.0548, lr: 0.000010, batch_cost: 1.2385, reader_cost: 0.00022, ips: 1.6149 samples/sec | ETA 08:55:14 2021-08-23 12:28:10 [INFO] [TRAIN] epoch: 361, iter: 134080/160000, loss: 0.0590, lr: 0.000010, batch_cost: 1.2401, reader_cost: 0.00024, ips: 1.6127 samples/sec | ETA 08:55:44 2021-08-23 12:28:22 [INFO] [TRAIN] epoch: 361, iter: 134090/160000, loss: 0.0411, lr: 0.000010, batch_cost: 1.2115, reader_cost: 0.00021, ips: 1.6508 samples/sec | ETA 08:43:10 2021-08-23 12:28:35 [INFO] [TRAIN] epoch: 361, iter: 134100/160000, loss: 0.0416, lr: 0.000010, batch_cost: 1.2246, reader_cost: 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08:42:22 2021-08-23 12:34:32 [INFO] [TRAIN] epoch: 362, iter: 134390/160000, loss: 0.0527, lr: 0.000010, batch_cost: 1.2412, reader_cost: 0.00022, ips: 1.6113 samples/sec | ETA 08:49:47 2021-08-23 12:34:44 [INFO] [TRAIN] epoch: 362, iter: 134400/160000, loss: 0.0517, lr: 0.000010, batch_cost: 1.2229, reader_cost: 0.00021, ips: 1.6355 samples/sec | ETA 08:41:45 2021-08-23 12:34:56 [INFO] [TRAIN] epoch: 362, iter: 134410/160000, loss: 0.0413, lr: 0.000010, batch_cost: 1.2232, reader_cost: 0.00023, ips: 1.6350 samples/sec | ETA 08:41:42 2021-08-23 12:35:09 [INFO] [TRAIN] epoch: 362, iter: 134420/160000, loss: 0.0417, lr: 0.000010, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6325 samples/sec | ETA 08:42:17 2021-08-23 12:35:21 [INFO] [TRAIN] epoch: 362, iter: 134430/160000, loss: 0.0513, lr: 0.000010, batch_cost: 1.2264, reader_cost: 0.00023, ips: 1.6308 samples/sec | ETA 08:42:38 2021-08-23 12:35:33 [INFO] [TRAIN] epoch: 362, iter: 134440/160000, loss: 0.0463, lr: 0.000010, 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epoch: 362, iter: 134500/160000, loss: 0.0493, lr: 0.000010, batch_cost: 1.2238, reader_cost: 0.00023, ips: 1.6342 samples/sec | ETA 08:40:07 2021-08-23 12:36:58 [INFO] [TRAIN] epoch: 362, iter: 134510/160000, loss: 0.0423, lr: 0.000010, batch_cost: 1.2194, reader_cost: 0.00024, ips: 1.6402 samples/sec | ETA 08:38:01 2021-08-23 12:37:11 [INFO] [TRAIN] epoch: 362, iter: 134520/160000, loss: 0.0494, lr: 0.000010, batch_cost: 1.2246, reader_cost: 0.00021, ips: 1.6331 samples/sec | ETA 08:40:03 2021-08-23 12:37:23 [INFO] [TRAIN] epoch: 362, iter: 134530/160000, loss: 0.0515, lr: 0.000010, batch_cost: 1.2398, reader_cost: 0.00021, ips: 1.6131 samples/sec | ETA 08:46:18 2021-08-23 12:37:35 [INFO] [TRAIN] epoch: 362, iter: 134540/160000, loss: 0.0490, lr: 0.000010, batch_cost: 1.2214, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 08:38:17 2021-08-23 12:37:48 [INFO] [TRAIN] epoch: 362, iter: 134550/160000, loss: 0.0478, lr: 0.000010, batch_cost: 1.2282, reader_cost: 0.00022, ips: 1.6285 samples/sec | ETA 08:40:56 2021-08-23 12:38:00 [INFO] [TRAIN] epoch: 362, iter: 134560/160000, loss: 0.0546, lr: 0.000010, batch_cost: 1.2364, reader_cost: 0.00022, ips: 1.6175 samples/sec | ETA 08:44:15 2021-08-23 12:38:12 [INFO] [TRAIN] epoch: 362, iter: 134570/160000, loss: 0.0495, lr: 0.000010, batch_cost: 1.2178, reader_cost: 0.00022, ips: 1.6424 samples/sec | ETA 08:36:07 2021-08-23 12:38:24 [INFO] [TRAIN] epoch: 362, iter: 134580/160000, loss: 0.0494, lr: 0.000010, batch_cost: 1.2202, reader_cost: 0.00021, ips: 1.6390 samples/sec | ETA 08:36:58 2021-08-23 12:38:37 [INFO] [TRAIN] epoch: 362, iter: 134590/160000, loss: 0.0524, lr: 0.000010, batch_cost: 1.2345, reader_cost: 0.00022, ips: 1.6201 samples/sec | ETA 08:42:47 2021-08-23 12:38:49 [INFO] [TRAIN] epoch: 362, iter: 134600/160000, loss: 0.0492, lr: 0.000010, batch_cost: 1.2302, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 08:40:47 2021-08-23 12:39:01 [INFO] [TRAIN] epoch: 362, iter: 134610/160000, loss: 0.0481, lr: 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[INFO] [TRAIN] epoch: 363, iter: 134670/160000, loss: 0.0476, lr: 0.000009, batch_cost: 1.4996, reader_cost: 0.22233, ips: 1.3337 samples/sec | ETA 10:33:05 2021-08-23 12:40:29 [INFO] [TRAIN] epoch: 363, iter: 134680/160000, loss: 0.0515, lr: 0.000009, batch_cost: 1.2220, reader_cost: 0.00097, ips: 1.6366 samples/sec | ETA 08:35:41 2021-08-23 12:40:41 [INFO] [TRAIN] epoch: 363, iter: 134690/160000, loss: 0.0514, lr: 0.000009, batch_cost: 1.2516, reader_cost: 0.00022, ips: 1.5980 samples/sec | ETA 08:47:57 2021-08-23 12:40:54 [INFO] [TRAIN] epoch: 363, iter: 134700/160000, loss: 0.0503, lr: 0.000009, batch_cost: 1.2269, reader_cost: 0.00023, ips: 1.6301 samples/sec | ETA 08:37:20 2021-08-23 12:41:06 [INFO] [TRAIN] epoch: 363, iter: 134710/160000, loss: 0.0525, lr: 0.000009, batch_cost: 1.2209, reader_cost: 0.00023, ips: 1.6381 samples/sec | ETA 08:34:37 2021-08-23 12:41:18 [INFO] [TRAIN] epoch: 363, iter: 134720/160000, loss: 0.0476, lr: 0.000009, batch_cost: 1.2262, reader_cost: 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2021-08-23 12:43:45 [INFO] [TRAIN] epoch: 363, iter: 134840/160000, loss: 0.0478, lr: 0.000009, batch_cost: 1.2420, reader_cost: 0.00023, ips: 1.6103 samples/sec | ETA 08:40:49 2021-08-23 12:43:57 [INFO] [TRAIN] epoch: 363, iter: 134850/160000, loss: 0.0503, lr: 0.000009, batch_cost: 1.2195, reader_cost: 0.00021, ips: 1.6401 samples/sec | ETA 08:31:09 2021-08-23 12:44:09 [INFO] [TRAIN] epoch: 363, iter: 134860/160000, loss: 0.0470, lr: 0.000009, batch_cost: 1.2285, reader_cost: 0.00023, ips: 1.6280 samples/sec | ETA 08:34:43 2021-08-23 12:44:22 [INFO] [TRAIN] epoch: 363, iter: 134870/160000, loss: 0.0491, lr: 0.000009, batch_cost: 1.2217, reader_cost: 0.00022, ips: 1.6371 samples/sec | ETA 08:31:40 2021-08-23 12:44:34 [INFO] [TRAIN] epoch: 363, iter: 134880/160000, loss: 0.0528, lr: 0.000009, batch_cost: 1.2314, reader_cost: 0.00025, ips: 1.6242 samples/sec | ETA 08:35:31 2021-08-23 12:44:46 [INFO] [TRAIN] epoch: 363, iter: 134890/160000, loss: 0.0475, lr: 0.000009, batch_cost: 1.2234, 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08:31:47 2021-08-23 12:47:14 [INFO] [TRAIN] epoch: 363, iter: 135010/160000, loss: 0.0528, lr: 0.000009, batch_cost: 1.2408, reader_cost: 0.00021, ips: 1.6119 samples/sec | ETA 08:36:46 2021-08-23 12:47:26 [INFO] [TRAIN] epoch: 363, iter: 135020/160000, loss: 0.0445, lr: 0.000009, batch_cost: 1.2331, reader_cost: 0.00022, ips: 1.6219 samples/sec | ETA 08:33:24 2021-08-23 12:47:39 [INFO] [TRAIN] epoch: 363, iter: 135030/160000, loss: 0.0535, lr: 0.000009, batch_cost: 1.2169, reader_cost: 0.00021, ips: 1.6435 samples/sec | ETA 08:26:26 2021-08-23 12:47:53 [INFO] [TRAIN] epoch: 364, iter: 135040/160000, loss: 0.0489, lr: 0.000009, batch_cost: 1.4805, reader_cost: 0.22929, ips: 1.3509 samples/sec | ETA 10:15:52 2021-08-23 12:48:06 [INFO] [TRAIN] epoch: 364, iter: 135050/160000, loss: 0.0433, lr: 0.000009, batch_cost: 1.2240, reader_cost: 0.00080, ips: 1.6340 samples/sec | ETA 08:28:58 2021-08-23 12:48:18 [INFO] [TRAIN] epoch: 364, iter: 135060/160000, loss: 0.0444, lr: 0.000009, 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epoch: 364, iter: 135120/160000, loss: 0.0422, lr: 0.000009, batch_cost: 1.2093, reader_cost: 0.00021, ips: 1.6538 samples/sec | ETA 08:21:27 2021-08-23 12:49:43 [INFO] [TRAIN] epoch: 364, iter: 135130/160000, loss: 0.0412, lr: 0.000009, batch_cost: 1.2178, reader_cost: 0.00020, ips: 1.6424 samples/sec | ETA 08:24:45 2021-08-23 12:49:56 [INFO] [TRAIN] epoch: 364, iter: 135140/160000, loss: 0.0477, lr: 0.000009, batch_cost: 1.2499, reader_cost: 0.00021, ips: 1.6002 samples/sec | ETA 08:37:52 2021-08-23 12:50:08 [INFO] [TRAIN] epoch: 364, iter: 135150/160000, loss: 0.0485, lr: 0.000009, batch_cost: 1.2462, reader_cost: 0.00021, ips: 1.6049 samples/sec | ETA 08:36:08 2021-08-23 12:50:20 [INFO] [TRAIN] epoch: 364, iter: 135160/160000, loss: 0.0491, lr: 0.000009, batch_cost: 1.2006, reader_cost: 0.00022, ips: 1.6658 samples/sec | ETA 08:17:02 2021-08-23 12:50:32 [INFO] [TRAIN] epoch: 364, iter: 135170/160000, loss: 0.0436, lr: 0.000009, batch_cost: 1.2196, reader_cost: 0.00022, ips: 1.6399 samples/sec | ETA 08:24:43 2021-08-23 12:50:45 [INFO] [TRAIN] epoch: 364, iter: 135180/160000, loss: 0.0497, lr: 0.000009, batch_cost: 1.2297, reader_cost: 0.00022, ips: 1.6264 samples/sec | ETA 08:28:42 2021-08-23 12:50:57 [INFO] [TRAIN] epoch: 364, iter: 135190/160000, loss: 0.0463, lr: 0.000009, batch_cost: 1.2265, reader_cost: 0.00021, ips: 1.6307 samples/sec | ETA 08:27:08 2021-08-23 12:51:09 [INFO] [TRAIN] epoch: 364, iter: 135200/160000, loss: 0.0504, lr: 0.000009, batch_cost: 1.2305, reader_cost: 0.00024, ips: 1.6254 samples/sec | ETA 08:28:36 2021-08-23 12:51:22 [INFO] [TRAIN] epoch: 364, iter: 135210/160000, loss: 0.0499, lr: 0.000009, batch_cost: 1.2439, reader_cost: 0.00024, ips: 1.6078 samples/sec | ETA 08:33:56 2021-08-23 12:51:34 [INFO] [TRAIN] epoch: 364, iter: 135220/160000, loss: 0.0423, lr: 0.000009, batch_cost: 1.2419, reader_cost: 0.00023, ips: 1.6104 samples/sec | ETA 08:32:54 2021-08-23 12:51:47 [INFO] [TRAIN] epoch: 364, iter: 135230/160000, loss: 0.0416, lr: 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[INFO] [TRAIN] epoch: 364, iter: 135290/160000, loss: 0.0503, lr: 0.000009, batch_cost: 1.2157, reader_cost: 0.00024, ips: 1.6452 samples/sec | ETA 08:20:39 2021-08-23 12:53:12 [INFO] [TRAIN] epoch: 364, iter: 135300/160000, loss: 0.0465, lr: 0.000009, batch_cost: 1.2162, reader_cost: 0.00020, ips: 1.6444 samples/sec | ETA 08:20:40 2021-08-23 12:53:25 [INFO] [TRAIN] epoch: 364, iter: 135310/160000, loss: 0.0468, lr: 0.000009, batch_cost: 1.2203, reader_cost: 0.00020, ips: 1.6389 samples/sec | ETA 08:22:10 2021-08-23 12:53:37 [INFO] [TRAIN] epoch: 364, iter: 135320/160000, loss: 0.0507, lr: 0.000009, batch_cost: 1.2318, reader_cost: 0.00022, ips: 1.6236 samples/sec | ETA 08:26:40 2021-08-23 12:53:49 [INFO] [TRAIN] epoch: 364, iter: 135330/160000, loss: 0.0368, lr: 0.000009, batch_cost: 1.2303, reader_cost: 0.00022, ips: 1.6256 samples/sec | ETA 08:25:52 2021-08-23 12:54:02 [INFO] [TRAIN] epoch: 364, iter: 135340/160000, loss: 0.0494, lr: 0.000009, batch_cost: 1.2264, reader_cost: 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08:26:11 2021-08-23 13:00:00 [INFO] [TRAIN] epoch: 365, iter: 135630/160000, loss: 0.0545, lr: 0.000009, batch_cost: 1.2317, reader_cost: 0.00022, ips: 1.6237 samples/sec | ETA 08:20:17 2021-08-23 13:00:12 [INFO] [TRAIN] epoch: 365, iter: 135640/160000, loss: 0.0504, lr: 0.000009, batch_cost: 1.2198, reader_cost: 0.00021, ips: 1.6397 samples/sec | ETA 08:15:13 2021-08-23 13:00:25 [INFO] [TRAIN] epoch: 365, iter: 135650/160000, loss: 0.0378, lr: 0.000009, batch_cost: 1.2327, reader_cost: 0.00021, ips: 1.6224 samples/sec | ETA 08:20:17 2021-08-23 13:00:37 [INFO] [TRAIN] epoch: 365, iter: 135660/160000, loss: 0.0409, lr: 0.000009, batch_cost: 1.2319, reader_cost: 0.00022, ips: 1.6235 samples/sec | ETA 08:19:45 2021-08-23 13:00:49 [INFO] [TRAIN] epoch: 365, iter: 135670/160000, loss: 0.0430, lr: 0.000009, batch_cost: 1.2331, reader_cost: 0.00023, ips: 1.6220 samples/sec | ETA 08:20:00 2021-08-23 13:01:02 [INFO] [TRAIN] epoch: 365, iter: 135680/160000, loss: 0.0446, lr: 0.000009, 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epoch: 365, iter: 135740/160000, loss: 0.0534, lr: 0.000009, batch_cost: 1.2255, reader_cost: 0.00022, ips: 1.6320 samples/sec | ETA 08:15:29 2021-08-23 13:02:27 [INFO] [TRAIN] epoch: 365, iter: 135750/160000, loss: 0.0544, lr: 0.000009, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 08:14:46 2021-08-23 13:02:39 [INFO] [TRAIN] epoch: 365, iter: 135760/160000, loss: 0.0557, lr: 0.000009, batch_cost: 1.2126, reader_cost: 0.00023, ips: 1.6494 samples/sec | ETA 08:09:52 2021-08-23 13:02:52 [INFO] [TRAIN] epoch: 365, iter: 135770/160000, loss: 0.0577, lr: 0.000009, batch_cost: 1.2160, reader_cost: 0.00022, ips: 1.6447 samples/sec | ETA 08:11:04 2021-08-23 13:03:03 [INFO] [TRAIN] epoch: 365, iter: 135780/160000, loss: 0.0440, lr: 0.000009, batch_cost: 1.1799, reader_cost: 0.00014, ips: 1.6950 samples/sec | ETA 07:56:18 2021-08-23 13:03:19 [INFO] [TRAIN] epoch: 366, iter: 135790/160000, loss: 0.0409, lr: 0.000009, batch_cost: 1.5494, reader_cost: 0.24341, ips: 1.2909 samples/sec | ETA 10:25:09 2021-08-23 13:03:31 [INFO] [TRAIN] epoch: 366, iter: 135800/160000, loss: 0.0578, lr: 0.000009, batch_cost: 1.2129, reader_cost: 0.00075, ips: 1.6489 samples/sec | ETA 08:09:12 2021-08-23 13:03:43 [INFO] [TRAIN] epoch: 366, iter: 135810/160000, loss: 0.0531, lr: 0.000009, batch_cost: 1.2245, reader_cost: 0.00024, ips: 1.6333 samples/sec | ETA 08:13:40 2021-08-23 13:03:55 [INFO] [TRAIN] epoch: 366, iter: 135820/160000, loss: 0.0617, lr: 0.000009, batch_cost: 1.2166, reader_cost: 0.00020, ips: 1.6439 samples/sec | ETA 08:10:18 2021-08-23 13:04:08 [INFO] [TRAIN] epoch: 366, iter: 135830/160000, loss: 0.0401, lr: 0.000009, batch_cost: 1.2349, reader_cost: 0.00022, ips: 1.6196 samples/sec | ETA 08:17:26 2021-08-23 13:04:20 [INFO] [TRAIN] epoch: 366, iter: 135840/160000, loss: 0.0444, lr: 0.000009, batch_cost: 1.2233, reader_cost: 0.00021, ips: 1.6349 samples/sec | ETA 08:12:35 2021-08-23 13:04:32 [INFO] [TRAIN] epoch: 366, iter: 135850/160000, loss: 0.0702, lr: 0.000009, batch_cost: 1.2185, reader_cost: 0.00024, ips: 1.6414 samples/sec | ETA 08:10:26 2021-08-23 13:04:44 [INFO] [TRAIN] epoch: 366, iter: 135860/160000, loss: 0.0449, lr: 0.000009, batch_cost: 1.2202, reader_cost: 0.00023, ips: 1.6390 samples/sec | ETA 08:10:56 2021-08-23 13:04:57 [INFO] [TRAIN] epoch: 366, iter: 135870/160000, loss: 0.0442, lr: 0.000009, batch_cost: 1.2372, reader_cost: 0.00024, ips: 1.6166 samples/sec | ETA 08:17:33 2021-08-23 13:05:09 [INFO] [TRAIN] epoch: 366, iter: 135880/160000, loss: 0.0418, lr: 0.000009, batch_cost: 1.2235, reader_cost: 0.00022, ips: 1.6346 samples/sec | ETA 08:11:51 2021-08-23 13:05:21 [INFO] [TRAIN] epoch: 366, iter: 135890/160000, loss: 0.0481, lr: 0.000009, batch_cost: 1.2383, reader_cost: 0.00024, ips: 1.6151 samples/sec | ETA 08:17:35 2021-08-23 13:05:34 [INFO] [TRAIN] epoch: 366, iter: 135900/160000, loss: 0.0497, lr: 0.000009, batch_cost: 1.2288, reader_cost: 0.00022, ips: 1.6276 samples/sec | ETA 08:13:34 2021-08-23 13:05:46 [INFO] [TRAIN] epoch: 366, iter: 135910/160000, loss: 0.0487, lr: 0.000009, batch_cost: 1.2182, reader_cost: 0.00021, ips: 1.6417 samples/sec | ETA 08:09:06 2021-08-23 13:05:58 [INFO] [TRAIN] epoch: 366, iter: 135920/160000, loss: 0.0538, lr: 0.000009, batch_cost: 1.2189, reader_cost: 0.00023, ips: 1.6408 samples/sec | ETA 08:09:11 2021-08-23 13:06:10 [INFO] [TRAIN] epoch: 366, iter: 135930/160000, loss: 0.0452, lr: 0.000009, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 08:08:49 2021-08-23 13:06:22 [INFO] [TRAIN] epoch: 366, iter: 135940/160000, loss: 0.0523, lr: 0.000009, batch_cost: 1.2184, reader_cost: 0.00020, ips: 1.6415 samples/sec | ETA 08:08:35 2021-08-23 13:06:35 [INFO] [TRAIN] epoch: 366, iter: 135950/160000, loss: 0.0433, lr: 0.000009, batch_cost: 1.2409, reader_cost: 0.00022, ips: 1.6117 samples/sec | ETA 08:17:24 2021-08-23 13:06:47 [INFO] [TRAIN] epoch: 366, iter: 135960/160000, loss: 0.0487, lr: 0.000009, batch_cost: 1.2329, reader_cost: 0.00021, ips: 1.6222 samples/sec | ETA 08:13:58 2021-08-23 13:07:00 [INFO] [TRAIN] epoch: 366, iter: 135970/160000, loss: 0.0525, lr: 0.000009, batch_cost: 1.2391, reader_cost: 0.00020, ips: 1.6140 samples/sec | ETA 08:16:16 2021-08-23 13:07:12 [INFO] [TRAIN] epoch: 366, iter: 135980/160000, loss: 0.0413, lr: 0.000009, batch_cost: 1.2212, reader_cost: 0.00020, ips: 1.6377 samples/sec | ETA 08:08:54 2021-08-23 13:07:24 [INFO] [TRAIN] epoch: 366, iter: 135990/160000, loss: 0.0502, lr: 0.000009, batch_cost: 1.2238, reader_cost: 0.00021, ips: 1.6342 samples/sec | ETA 08:09:44 2021-08-23 13:07:36 [INFO] [TRAIN] epoch: 366, iter: 136000/160000, loss: 0.0493, lr: 0.000009, batch_cost: 1.2144, reader_cost: 0.00020, ips: 1.6470 samples/sec | ETA 08:05:44 2021-08-23 13:07:36 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 6:31 - batch_cost: 3.1558 - reader cost: 0.3866 2/125 [..............................] - ETA: 5:39 - batch_cost: 2.7615 - reader cost: 0.1934 3/125 [..............................] - ETA: 5:14 - batch_cost: 2.5794 - reader cost: 0.1290 4/125 [..............................] - ETA: 4:55 - batch_cost: 2.4427 - reader cost: 0.0968 5/125 [>.............................] - ETA: 4:43 - batch_cost: 2.3598 - reader cost: 0.0775 6/125 [>.............................] - ETA: 4:36 - batch_cost: 2.3226 - reader cost: 0.0646 7/125 [>.............................] - ETA: 4:31 - batch_cost: 2.2965 - reader cost: 0.0554 8/125 [>.............................] - ETA: 4:25 - batch_cost: 2.2668 - reader cost: 0.0485 9/125 [=>............................] - ETA: 4:20 - batch_cost: 2.2420 - reader cost: 0.0431 10/125 [=>............................] - ETA: 4:15 - batch_cost: 2.2180 - reader cost: 0.0388 11/125 [=>............................] - ETA: 4:11 - batch_cost: 2.2036 - reader cost: 0.0353 12/125 [=>............................] - ETA: 4:08 - batch_cost: 2.1956 - reader cost: 0.0324 13/125 [==>...........................] - ETA: 4:05 - batch_cost: 2.1885 - reader cost: 0.0299 14/125 [==>...........................] - ETA: 4:02 - batch_cost: 2.1838 - reader cost: 0.0278 15/125 [==>...........................] - ETA: 3:59 - batch_cost: 2.1774 - reader cost: 0.0260 16/125 [==>...........................] - ETA: 3:56 - batch_cost: 2.1723 - reader cost: 0.0243 17/125 [===>..........................] - ETA: 3:54 - batch_cost: 2.1683 - reader cost: 0.0229 18/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.1642 - reader cost: 0.0217 19/125 [===>..........................] - ETA: 3:49 - batch_cost: 2.1603 - reader cost: 0.0205 20/125 [===>..........................] - ETA: 3:46 - batch_cost: 2.1584 - reader cost: 0.0195 21/125 [====>.........................] - ETA: 3:44 - batch_cost: 2.1544 - reader cost: 0.0186 22/125 [====>.........................] - ETA: 3:41 - batch_cost: 2.1520 - reader cost: 0.0178 23/125 [====>.........................] - ETA: 3:39 - batch_cost: 2.1510 - reader cost: 0.0170 24/125 [====>.........................] - ETA: 3:37 - batch_cost: 2.1505 - reader cost: 0.0163 25/125 [=====>........................] - ETA: 3:34 - batch_cost: 2.1486 - reader cost: 0.0157 26/125 [=====>........................] - ETA: 3:32 - batch_cost: 2.1475 - reader cost: 0.0151 27/125 [=====>........................] - ETA: 3:30 - batch_cost: 2.1471 - reader cost: 0.0145 28/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1465 - reader cost: 0.0140 29/125 [=====>........................] - ETA: 3:26 - batch_cost: 2.1466 - reader cost: 0.0135 30/125 [======>.......................] - ETA: 3:23 - batch_cost: 2.1460 - reader cost: 0.0131 31/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1460 - reader cost: 0.0127 32/125 [======>.......................] - ETA: 3:19 - batch_cost: 2.1450 - reader cost: 0.0123 33/125 [======>.......................] - ETA: 3:17 - batch_cost: 2.1443 - reader cost: 0.0119 34/125 [=======>......................] - ETA: 3:15 - batch_cost: 2.1446 - reader cost: 0.0116 35/125 [=======>......................] - ETA: 3:12 - batch_cost: 2.1437 - reader cost: 0.0112 36/125 [=======>......................] - ETA: 3:10 - batch_cost: 2.1426 - reader cost: 0.0109 37/125 [=======>......................] - ETA: 3:08 - batch_cost: 2.1425 - reader cost: 0.0106 38/125 [========>.....................] - ETA: 3:06 - batch_cost: 2.1420 - reader cost: 0.0104 39/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1415 - reader cost: 0.0101 40/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1410 - reader cost: 0.0099 41/125 [========>.....................] - ETA: 2:59 - batch_cost: 2.1405 - reader cost: 0.0096 42/125 [=========>....................] - ETA: 2:57 - batch_cost: 2.1398 - reader cost: 0.0094 43/125 [=========>....................] - ETA: 2:55 - batch_cost: 2.1392 - reader cost: 0.0092 44/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1374 - reader cost: 0.0090 45/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1378 - reader cost: 0.0088 46/125 [==========>...................] - ETA: 2:48 - batch_cost: 2.1367 - reader cost: 0.0086 47/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1361 - reader cost: 0.0084 48/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1362 - reader cost: 0.0082 49/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1356 - reader cost: 0.0081 50/125 [===========>..................] - ETA: 2:40 - batch_cost: 2.1356 - reader cost: 0.0079 51/125 [===========>..................] - ETA: 2:38 - batch_cost: 2.1359 - reader cost: 0.0078 52/125 [===========>..................] - ETA: 2:35 - batch_cost: 2.1354 - reader cost: 0.0076 53/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.1353 - reader cost: 0.0075 54/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.1350 - reader cost: 0.0074 55/125 [============>.................] - ETA: 2:29 - batch_cost: 2.1344 - reader cost: 0.0072 56/125 [============>.................] - ETA: 2:27 - batch_cost: 2.1335 - reader cost: 0.0071 57/125 [============>.................] - ETA: 2:25 - batch_cost: 2.1330 - reader cost: 0.0070 58/125 [============>.................] - ETA: 2:22 - batch_cost: 2.1321 - reader cost: 0.0069 59/125 [=============>................] - ETA: 2:20 - batch_cost: 2.1316 - reader cost: 0.0067 60/125 [=============>................] - ETA: 2:18 - batch_cost: 2.1314 - reader cost: 0.0066 61/125 [=============>................] - ETA: 2:16 - batch_cost: 2.1308 - reader cost: 0.0065 62/125 [=============>................] - ETA: 2:14 - batch_cost: 2.1309 - reader cost: 0.0064 63/125 [==============>...............] - ETA: 2:12 - batch_cost: 2.1306 - reader cost: 0.0063 64/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.1293 - reader cost: 0.0062 65/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.1279 - reader cost: 0.0061 66/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.1270 - reader cost: 0.0061 67/125 [===============>..............] - ETA: 2:03 - batch_cost: 2.1258 - reader cost: 0.0060 68/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1247 - reader cost: 0.0059 69/125 [===============>..............] - ETA: 1:58 - batch_cost: 2.1239 - reader cost: 0.0058 70/125 [===============>..............] - ETA: 1:56 - batch_cost: 2.1227 - reader cost: 0.0057 71/125 [================>.............] - ETA: 1:54 - batch_cost: 2.1225 - reader cost: 0.0056 72/125 [================>.............] - ETA: 1:52 - batch_cost: 2.1229 - reader cost: 0.0056 73/125 [================>.............] - ETA: 1:50 - batch_cost: 2.1229 - reader cost: 0.0055 74/125 [================>.............] - ETA: 1:48 - batch_cost: 2.1224 - reader cost: 0.0054 75/125 [=================>............] - ETA: 1:46 - batch_cost: 2.1220 - reader cost: 0.0053 76/125 [=================>............] - ETA: 1:43 - batch_cost: 2.1213 - reader cost: 0.0053 77/125 [=================>............] - ETA: 1:41 - batch_cost: 2.1216 - reader cost: 0.0052 78/125 [=================>............] - ETA: 1:39 - batch_cost: 2.1214 - reader cost: 0.0052 79/125 [=================>............] - ETA: 1:37 - batch_cost: 2.1215 - reader cost: 0.0051 80/125 [==================>...........] - ETA: 1:35 - batch_cost: 2.1212 - reader cost: 0.0050 81/125 [==================>...........] - ETA: 1:33 - batch_cost: 2.1210 - reader cost: 0.0050 82/125 [==================>...........] - ETA: 1:31 - batch_cost: 2.1208 - reader cost: 0.0049 83/125 [==================>...........] - ETA: 1:29 - batch_cost: 2.1205 - reader cost: 0.0049 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1201 - reader cost: 0.0048 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1197 - reader cost: 0.0047 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1187 - reader cost: 0.0047 87/125 [===================>..........] - ETA: 1:20 - batch_cost: 2.1189 - reader cost: 0.0046 88/125 [====================>.........] - ETA: 1:18 - batch_cost: 2.1185 - reader cost: 0.0046 89/125 [====================>.........] - ETA: 1:16 - batch_cost: 2.1186 - reader cost: 0.0045 90/125 [====================>.........] - ETA: 1:14 - batch_cost: 2.1183 - reader cost: 0.0045 91/125 [====================>.........] - ETA: 1:12 - batch_cost: 2.1180 - reader cost: 0.0044 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1180 - reader cost: 0.0044 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1179 - reader cost: 0.0044 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1176 - reader cost: 0.0043 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1175 - reader cost: 0.0043 96/125 [======================>.......] - ETA: 1:01 - batch_cost: 2.1170 - reader cost: 0.0042 97/125 [======================>.......] - ETA: 59s - batch_cost: 2.1167 - reader cost: 0.0042  98/125 [======================>.......] - ETA: 57s - batch_cost: 2.1166 - reader cost: 0.0041 99/125 [======================>.......] - ETA: 55s - batch_cost: 2.1161 - reader cost: 0.0041 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.1155 - reader cost: 0.0041 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.1150 - reader cost: 0.0040 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1151 - reader cost: 0.0040 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1151 - reader cost: 0.0039 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1154 - reader cost: 0.0039 105/125 [========================>.....] - ETA: 42s - batch_cost: 2.1154 - reader cost: 0.0039 106/125 [========================>.....] - ETA: 40s - batch_cost: 2.1152 - reader cost: 0.0038 107/125 [========================>.....] - ETA: 38s - batch_cost: 2.1151 - reader cost: 0.0038 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.1151 - reader cost: 0.0038 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.1150 - reader cost: 0.0037 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.1149 - reader cost: 0.0037 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.1151 - reader cost: 0.0037 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.1153 - reader cost: 0.0036 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.1154 - reader cost: 0.0036 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.1154 - reader cost: 0.0036 115/125 [==========================>...] - ETA: 21s - batch_cost: 2.1154 - reader cost: 0.0036 116/125 [==========================>...] - ETA: 19s - batch_cost: 2.1154 - reader cost: 0.0035 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.1152 - reader cost: 0.0035 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.1146 - reader cost: 0.0035 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.1142 - reader cost: 0.0034 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.1138 - reader cost: 0.0034 121/125 [============================>.] - ETA: 8s - batch_cost: 2.1135 - reader cost: 0.0034  122/125 [============================>.] - ETA: 6s - batch_cost: 2.1134 - reader cost: 0.0034 123/125 [============================>.] - ETA: 4s - batch_cost: 2.1127 - reader cost: 0.0033 124/125 [============================>.] - ETA: 2s - batch_cost: 2.1124 - reader cost: 0.0033 125/125 [==============================] - 264s 2s/step - batch_cost: 2.1117 - reader cost: 0.0033 2021-08-23 13:12:00 [INFO] [EVAL] #Images: 500 mIoU: 0.8221 Acc: 0.9671 Kappa: 0.9573 2021-08-23 13:12:00 [INFO] [EVAL] Class IoU: [0.9836 0.8666 0.9382 0.6972 0.6578 0.7014 0.7573 0.8249 0.9325 0.6553 0.9563 0.8489 0.6736 0.9597 0.8758 0.9046 0.8678 0.7175 0.8012] 2021-08-23 13:12:00 [INFO] [EVAL] Class Acc: [0.9934 0.9137 0.9658 0.8742 0.8801 0.846 0.8742 0.9171 0.9597 0.8606 0.9717 0.913 0.7975 0.9773 0.961 0.945 0.961 0.863 0.8723] 2021-08-23 13:12:03 [INFO] [EVAL] The model with the best validation mIoU (0.8245) was saved at iter 116000. 2021-08-23 13:12:15 [INFO] [TRAIN] epoch: 366, iter: 136010/160000, loss: 0.0433, lr: 0.000009, batch_cost: 1.2041, reader_cost: 0.00119, ips: 1.6609 samples/sec | ETA 08:01:27 2021-08-23 13:12:27 [INFO] [TRAIN] epoch: 366, iter: 136020/160000, loss: 0.0507, lr: 0.000009, batch_cost: 1.2165, reader_cost: 0.00021, ips: 1.6440 samples/sec | ETA 08:06:12 2021-08-23 13:12:39 [INFO] [TRAIN] epoch: 366, iter: 136030/160000, loss: 0.0416, lr: 0.000009, batch_cost: 1.2256, reader_cost: 0.00024, ips: 1.6318 samples/sec | ETA 08:09:38 2021-08-23 13:12:51 [INFO] [TRAIN] epoch: 366, iter: 136040/160000, loss: 0.0524, lr: 0.000009, batch_cost: 1.2187, reader_cost: 0.00023, ips: 1.6411 samples/sec | ETA 08:06:39 2021-08-23 13:13:04 [INFO] [TRAIN] epoch: 366, iter: 136050/160000, loss: 0.0485, lr: 0.000009, batch_cost: 1.2249, reader_cost: 0.00022, ips: 1.6328 samples/sec | ETA 08:08:56 2021-08-23 13:13:16 [INFO] [TRAIN] epoch: 366, iter: 136060/160000, loss: 0.0513, lr: 0.000009, batch_cost: 1.2271, reader_cost: 0.00022, ips: 1.6298 samples/sec | ETA 08:09:37 2021-08-23 13:13:28 [INFO] [TRAIN] epoch: 366, iter: 136070/160000, loss: 0.0538, lr: 0.000009, batch_cost: 1.2184, reader_cost: 0.00021, ips: 1.6415 samples/sec | ETA 08:05:57 2021-08-23 13:13:40 [INFO] [TRAIN] epoch: 366, iter: 136080/160000, loss: 0.0495, lr: 0.000009, batch_cost: 1.2272, reader_cost: 0.00022, ips: 1.6297 samples/sec | ETA 08:09:14 2021-08-23 13:13:53 [INFO] [TRAIN] epoch: 366, iter: 136090/160000, loss: 0.0546, lr: 0.000009, batch_cost: 1.2278, reader_cost: 0.00021, ips: 1.6289 samples/sec | ETA 08:09:16 2021-08-23 13:14:05 [INFO] [TRAIN] epoch: 366, iter: 136100/160000, loss: 0.0480, lr: 0.000009, batch_cost: 1.2166, reader_cost: 0.00022, ips: 1.6440 samples/sec | ETA 08:04:36 2021-08-23 13:14:17 [INFO] [TRAIN] epoch: 366, iter: 136110/160000, loss: 0.0629, lr: 0.000009, batch_cost: 1.2377, reader_cost: 0.00022, ips: 1.6159 samples/sec | ETA 08:12:49 2021-08-23 13:14:29 [INFO] [TRAIN] epoch: 366, iter: 136120/160000, loss: 0.0530, lr: 0.000009, batch_cost: 1.2251, reader_cost: 0.00024, ips: 1.6326 samples/sec | ETA 08:07:34 2021-08-23 13:14:42 [INFO] [TRAIN] epoch: 366, iter: 136130/160000, loss: 0.0510, lr: 0.000009, batch_cost: 1.2229, reader_cost: 0.00023, ips: 1.6355 samples/sec | ETA 08:06:30 2021-08-23 13:14:54 [INFO] [TRAIN] epoch: 366, iter: 136140/160000, loss: 0.0493, lr: 0.000009, batch_cost: 1.2226, reader_cost: 0.00023, ips: 1.6359 samples/sec | ETA 08:06:10 2021-08-23 13:15:06 [INFO] [TRAIN] epoch: 366, iter: 136150/160000, loss: 0.0499, lr: 0.000009, batch_cost: 1.1837, reader_cost: 0.00074, ips: 1.6897 samples/sec | ETA 07:50:30 2021-08-23 13:15:21 [INFO] [TRAIN] epoch: 367, iter: 136160/160000, loss: 0.0447, lr: 0.000009, batch_cost: 1.4948, reader_cost: 0.22194, ips: 1.3380 samples/sec | ETA 09:53:54 2021-08-23 13:15:33 [INFO] [TRAIN] epoch: 367, iter: 136170/160000, loss: 0.0587, lr: 0.000009, batch_cost: 1.2181, reader_cost: 0.00073, ips: 1.6419 samples/sec | ETA 08:03:47 2021-08-23 13:15:45 [INFO] [TRAIN] epoch: 367, iter: 136180/160000, loss: 0.0455, lr: 0.000009, batch_cost: 1.2179, reader_cost: 0.00023, ips: 1.6421 samples/sec | ETA 08:03:31 2021-08-23 13:15:57 [INFO] [TRAIN] epoch: 367, iter: 136190/160000, loss: 0.0534, lr: 0.000009, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 08:05:25 2021-08-23 13:16:09 [INFO] [TRAIN] epoch: 367, iter: 136200/160000, loss: 0.0508, lr: 0.000009, batch_cost: 1.2173, reader_cost: 0.00021, ips: 1.6429 samples/sec | ETA 08:02:52 2021-08-23 13:16:22 [INFO] [TRAIN] epoch: 367, iter: 136210/160000, loss: 0.0479, lr: 0.000009, batch_cost: 1.2188, reader_cost: 0.00022, ips: 1.6410 samples/sec | ETA 08:03:14 2021-08-23 13:16:34 [INFO] [TRAIN] epoch: 367, iter: 136220/160000, loss: 0.0591, lr: 0.000009, batch_cost: 1.2200, reader_cost: 0.00021, ips: 1.6394 samples/sec | ETA 08:03:30 2021-08-23 13:16:46 [INFO] [TRAIN] epoch: 367, iter: 136230/160000, loss: 0.0481, lr: 0.000009, batch_cost: 1.2322, reader_cost: 0.00022, ips: 1.6232 samples/sec | ETA 08:08:08 2021-08-23 13:16:58 [INFO] [TRAIN] epoch: 367, iter: 136240/160000, loss: 0.0498, lr: 0.000009, batch_cost: 1.2249, reader_cost: 0.00022, ips: 1.6328 samples/sec | ETA 08:05:03 2021-08-23 13:17:11 [INFO] [TRAIN] epoch: 367, iter: 136250/160000, loss: 0.0485, lr: 0.000009, batch_cost: 1.2184, reader_cost: 0.00022, ips: 1.6415 samples/sec | ETA 08:02:16 2021-08-23 13:17:23 [INFO] [TRAIN] epoch: 367, iter: 136260/160000, loss: 0.0453, lr: 0.000009, batch_cost: 1.2254, reader_cost: 0.00023, ips: 1.6321 samples/sec | ETA 08:04:51 2021-08-23 13:17:35 [INFO] [TRAIN] epoch: 367, iter: 136270/160000, loss: 0.0554, lr: 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[INFO] [TRAIN] epoch: 367, iter: 136330/160000, loss: 0.0525, lr: 0.000009, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6351 samples/sec | ETA 08:02:32 2021-08-23 13:19:01 [INFO] [TRAIN] epoch: 367, iter: 136340/160000, loss: 0.0412, lr: 0.000009, batch_cost: 1.2227, reader_cost: 0.00022, ips: 1.6358 samples/sec | ETA 08:02:08 2021-08-23 13:19:13 [INFO] [TRAIN] epoch: 367, iter: 136350/160000, loss: 0.0505, lr: 0.000009, batch_cost: 1.2391, reader_cost: 0.00022, ips: 1.6141 samples/sec | ETA 08:08:23 2021-08-23 13:19:25 [INFO] [TRAIN] epoch: 367, iter: 136360/160000, loss: 0.0460, lr: 0.000009, batch_cost: 1.2187, reader_cost: 0.00022, ips: 1.6411 samples/sec | ETA 08:00:10 2021-08-23 13:19:37 [INFO] [TRAIN] epoch: 367, iter: 136370/160000, loss: 0.0488, lr: 0.000009, batch_cost: 1.2284, reader_cost: 0.00021, ips: 1.6281 samples/sec | ETA 08:03:47 2021-08-23 13:19:50 [INFO] [TRAIN] epoch: 367, iter: 136380/160000, loss: 0.0526, lr: 0.000009, batch_cost: 1.2199, reader_cost: 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loss: 0.0432, lr: 0.000009, batch_cost: 1.2189, reader_cost: 0.00021, ips: 1.6408 samples/sec | ETA 07:58:37 2021-08-23 13:21:15 [INFO] [TRAIN] epoch: 367, iter: 136450/160000, loss: 0.0533, lr: 0.000009, batch_cost: 1.2188, reader_cost: 0.00021, ips: 1.6409 samples/sec | ETA 07:58:23 2021-08-23 13:21:27 [INFO] [TRAIN] epoch: 367, iter: 136460/160000, loss: 0.0444, lr: 0.000009, batch_cost: 1.2217, reader_cost: 0.00021, ips: 1.6371 samples/sec | ETA 07:59:18 2021-08-23 13:21:40 [INFO] [TRAIN] epoch: 367, iter: 136470/160000, loss: 0.0573, lr: 0.000009, batch_cost: 1.2261, reader_cost: 0.00024, ips: 1.6312 samples/sec | ETA 08:00:50 2021-08-23 13:21:52 [INFO] [TRAIN] epoch: 367, iter: 136480/160000, loss: 0.0468, lr: 0.000009, batch_cost: 1.2266, reader_cost: 0.00023, ips: 1.6305 samples/sec | ETA 08:00:50 2021-08-23 13:22:04 [INFO] [TRAIN] epoch: 367, iter: 136490/160000, loss: 0.0353, lr: 0.000009, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6321 samples/sec | ETA 08:00:09 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07:58:33 2021-08-23 13:25:47 [INFO] [TRAIN] epoch: 368, iter: 136670/160000, loss: 0.0410, lr: 0.000009, batch_cost: 1.2267, reader_cost: 0.00022, ips: 1.6304 samples/sec | ETA 07:56:58 2021-08-23 13:26:00 [INFO] [TRAIN] epoch: 368, iter: 136680/160000, loss: 0.0508, lr: 0.000009, batch_cost: 1.2323, reader_cost: 0.00022, ips: 1.6229 samples/sec | ETA 07:58:57 2021-08-23 13:26:12 [INFO] [TRAIN] epoch: 368, iter: 136690/160000, loss: 0.0470, lr: 0.000009, batch_cost: 1.2328, reader_cost: 0.00022, ips: 1.6224 samples/sec | ETA 07:58:55 2021-08-23 13:26:24 [INFO] [TRAIN] epoch: 368, iter: 136700/160000, loss: 0.0507, lr: 0.000009, batch_cost: 1.2186, reader_cost: 0.00021, ips: 1.6412 samples/sec | ETA 07:53:13 2021-08-23 13:26:36 [INFO] [TRAIN] epoch: 368, iter: 136710/160000, loss: 0.0508, lr: 0.000009, batch_cost: 1.2312, reader_cost: 0.00022, ips: 1.6244 samples/sec | ETA 07:57:55 2021-08-23 13:26:49 [INFO] [TRAIN] epoch: 368, iter: 136720/160000, loss: 0.0475, lr: 0.000009, batch_cost: 1.2299, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 07:57:11 2021-08-23 13:27:01 [INFO] [TRAIN] epoch: 368, iter: 136730/160000, loss: 0.0412, lr: 0.000009, batch_cost: 1.2402, reader_cost: 0.00023, ips: 1.6126 samples/sec | ETA 08:01:00 2021-08-23 13:27:14 [INFO] [TRAIN] epoch: 368, iter: 136740/160000, loss: 0.0536, lr: 0.000009, batch_cost: 1.2522, reader_cost: 0.00072, ips: 1.5972 samples/sec | ETA 08:05:25 2021-08-23 13:27:26 [INFO] [TRAIN] epoch: 368, iter: 136750/160000, loss: 0.0450, lr: 0.000009, batch_cost: 1.2416, reader_cost: 0.00021, ips: 1.6109 samples/sec | ETA 08:01:06 2021-08-23 13:27:38 [INFO] [TRAIN] epoch: 368, iter: 136760/160000, loss: 0.0471, lr: 0.000009, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6378 samples/sec | ETA 07:52:59 2021-08-23 13:27:50 [INFO] [TRAIN] epoch: 368, iter: 136770/160000, loss: 0.0541, lr: 0.000009, batch_cost: 1.2170, reader_cost: 0.00024, ips: 1.6434 samples/sec | ETA 07:51:10 2021-08-23 13:28:03 [INFO] [TRAIN] epoch: 368, iter: 136780/160000, loss: 0.0544, lr: 0.000009, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6287 samples/sec | ETA 07:55:12 2021-08-23 13:28:15 [INFO] [TRAIN] epoch: 368, iter: 136790/160000, loss: 0.0433, lr: 0.000009, batch_cost: 1.2139, reader_cost: 0.00021, ips: 1.6476 samples/sec | ETA 07:49:35 2021-08-23 13:28:27 [INFO] [TRAIN] epoch: 368, iter: 136800/160000, loss: 0.0483, lr: 0.000009, batch_cost: 1.2190, reader_cost: 0.00021, ips: 1.6407 samples/sec | ETA 07:51:20 2021-08-23 13:28:39 [INFO] [TRAIN] epoch: 368, iter: 136810/160000, loss: 0.0513, lr: 0.000009, batch_cost: 1.2268, reader_cost: 0.00021, ips: 1.6303 samples/sec | ETA 07:54:08 2021-08-23 13:28:52 [INFO] [TRAIN] epoch: 368, iter: 136820/160000, loss: 0.0451, lr: 0.000009, batch_cost: 1.2271, reader_cost: 0.00022, ips: 1.6298 samples/sec | ETA 07:54:04 2021-08-23 13:29:04 [INFO] [TRAIN] epoch: 368, iter: 136830/160000, loss: 0.0452, lr: 0.000009, batch_cost: 1.2147, reader_cost: 0.00023, ips: 1.6465 samples/sec | ETA 07:49:05 2021-08-23 13:29:16 [INFO] [TRAIN] epoch: 368, iter: 136840/160000, loss: 0.0459, lr: 0.000009, batch_cost: 1.2049, reader_cost: 0.00021, ips: 1.6599 samples/sec | ETA 07:45:05 2021-08-23 13:29:28 [INFO] [TRAIN] epoch: 368, iter: 136850/160000, loss: 0.0573, lr: 0.000009, batch_cost: 1.2391, reader_cost: 0.00021, ips: 1.6141 samples/sec | ETA 07:58:04 2021-08-23 13:29:41 [INFO] [TRAIN] epoch: 368, iter: 136860/160000, loss: 0.0525, lr: 0.000009, batch_cost: 1.2624, reader_cost: 0.00021, ips: 1.5842 samples/sec | ETA 08:06:52 2021-08-23 13:29:53 [INFO] [TRAIN] epoch: 368, iter: 136870/160000, loss: 0.0494, lr: 0.000009, batch_cost: 1.2425, reader_cost: 0.00019, ips: 1.6097 samples/sec | ETA 07:58:57 2021-08-23 13:30:06 [INFO] [TRAIN] epoch: 368, iter: 136880/160000, loss: 0.0425, lr: 0.000009, batch_cost: 1.2417, reader_cost: 0.00022, ips: 1.6107 samples/sec | ETA 07:58:28 2021-08-23 13:30:18 [INFO] [TRAIN] epoch: 368, iter: 136890/160000, loss: 0.0408, lr: 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[INFO] [TRAIN] epoch: 369, iter: 136950/160000, loss: 0.0445, lr: 0.000009, batch_cost: 1.2295, reader_cost: 0.00021, ips: 1.6266 samples/sec | ETA 07:52:20 2021-08-23 13:31:47 [INFO] [TRAIN] epoch: 369, iter: 136960/160000, loss: 0.0511, lr: 0.000009, batch_cost: 1.2355, reader_cost: 0.00022, ips: 1.6187 samples/sec | ETA 07:54:26 2021-08-23 13:31:59 [INFO] [TRAIN] epoch: 369, iter: 136970/160000, loss: 0.0498, lr: 0.000009, batch_cost: 1.2226, reader_cost: 0.00022, ips: 1.6358 samples/sec | ETA 07:49:17 2021-08-23 13:32:11 [INFO] [TRAIN] epoch: 369, iter: 136980/160000, loss: 0.0538, lr: 0.000009, batch_cost: 1.2369, reader_cost: 0.00023, ips: 1.6169 samples/sec | ETA 07:54:34 2021-08-23 13:32:24 [INFO] [TRAIN] epoch: 369, iter: 136990/160000, loss: 0.0593, lr: 0.000009, batch_cost: 1.2235, reader_cost: 0.00023, ips: 1.6346 samples/sec | ETA 07:49:13 2021-08-23 13:32:36 [INFO] [TRAIN] epoch: 369, iter: 137000/160000, loss: 0.0416, lr: 0.000009, batch_cost: 1.2489, reader_cost: 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loss: 0.0538, lr: 0.000009, batch_cost: 1.2289, reader_cost: 0.00024, ips: 1.6275 samples/sec | ETA 07:49:51 2021-08-23 13:34:03 [INFO] [TRAIN] epoch: 369, iter: 137070/160000, loss: 0.0493, lr: 0.000009, batch_cost: 1.2435, reader_cost: 0.00021, ips: 1.6083 samples/sec | ETA 07:55:14 2021-08-23 13:34:15 [INFO] [TRAIN] epoch: 369, iter: 137080/160000, loss: 0.0519, lr: 0.000009, batch_cost: 1.2284, reader_cost: 0.00021, ips: 1.6281 samples/sec | ETA 07:49:15 2021-08-23 13:34:27 [INFO] [TRAIN] epoch: 369, iter: 137090/160000, loss: 0.0515, lr: 0.000009, batch_cost: 1.2201, reader_cost: 0.00022, ips: 1.6393 samples/sec | ETA 07:45:51 2021-08-23 13:34:39 [INFO] [TRAIN] epoch: 369, iter: 137100/160000, loss: 0.0457, lr: 0.000009, batch_cost: 1.2260, reader_cost: 0.00025, ips: 1.6314 samples/sec | ETA 07:47:54 2021-08-23 13:34:52 [INFO] [TRAIN] epoch: 369, iter: 137110/160000, loss: 0.0455, lr: 0.000009, batch_cost: 1.2306, reader_cost: 0.00022, ips: 1.6252 samples/sec | ETA 07:49:29 2021-08-23 13:35:04 [INFO] [TRAIN] epoch: 369, iter: 137120/160000, loss: 0.0431, lr: 0.000009, batch_cost: 1.2329, reader_cost: 0.00024, ips: 1.6222 samples/sec | ETA 07:50:09 2021-08-23 13:35:16 [INFO] [TRAIN] epoch: 369, iter: 137130/160000, loss: 0.0489, lr: 0.000009, batch_cost: 1.2436, reader_cost: 0.00027, ips: 1.6083 samples/sec | ETA 07:54:00 2021-08-23 13:35:29 [INFO] [TRAIN] epoch: 369, iter: 137140/160000, loss: 0.0438, lr: 0.000009, batch_cost: 1.2374, reader_cost: 0.00022, ips: 1.6163 samples/sec | ETA 07:51:27 2021-08-23 13:35:41 [INFO] [TRAIN] epoch: 369, iter: 137150/160000, loss: 0.0528, lr: 0.000009, batch_cost: 1.2358, reader_cost: 0.00022, ips: 1.6184 samples/sec | ETA 07:50:38 2021-08-23 13:35:54 [INFO] [TRAIN] epoch: 369, iter: 137160/160000, loss: 0.0436, lr: 0.000009, batch_cost: 1.2374, reader_cost: 0.00022, ips: 1.6163 samples/sec | ETA 07:51:02 2021-08-23 13:36:06 [INFO] [TRAIN] epoch: 369, iter: 137170/160000, loss: 0.0478, lr: 0.000009, batch_cost: 1.2211, 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07:44:06 2021-08-23 13:38:36 [INFO] [TRAIN] epoch: 370, iter: 137290/160000, loss: 0.0382, lr: 0.000009, batch_cost: 1.2203, reader_cost: 0.00022, ips: 1.6390 samples/sec | ETA 07:41:52 2021-08-23 13:38:48 [INFO] [TRAIN] epoch: 370, iter: 137300/160000, loss: 0.0463, lr: 0.000009, batch_cost: 1.2294, reader_cost: 0.00021, ips: 1.6268 samples/sec | ETA 07:45:07 2021-08-23 13:39:00 [INFO] [TRAIN] epoch: 370, iter: 137310/160000, loss: 0.0483, lr: 0.000009, batch_cost: 1.2095, reader_cost: 0.00020, ips: 1.6535 samples/sec | ETA 07:37:24 2021-08-23 13:39:12 [INFO] [TRAIN] epoch: 370, iter: 137320/160000, loss: 0.0473, lr: 0.000009, batch_cost: 1.2298, reader_cost: 0.00023, ips: 1.6263 samples/sec | ETA 07:44:51 2021-08-23 13:39:24 [INFO] [TRAIN] epoch: 370, iter: 137330/160000, loss: 0.0536, lr: 0.000009, batch_cost: 1.2101, reader_cost: 0.00022, ips: 1.6528 samples/sec | ETA 07:37:12 2021-08-23 13:39:37 [INFO] [TRAIN] epoch: 370, iter: 137340/160000, loss: 0.0419, lr: 0.000008, batch_cost: 1.2266, reader_cost: 0.00021, ips: 1.6305 samples/sec | ETA 07:43:14 2021-08-23 13:39:49 [INFO] [TRAIN] epoch: 370, iter: 137350/160000, loss: 0.0415, lr: 0.000008, batch_cost: 1.2287, reader_cost: 0.00022, ips: 1.6278 samples/sec | ETA 07:43:49 2021-08-23 13:40:01 [INFO] [TRAIN] epoch: 370, iter: 137360/160000, loss: 0.0630, lr: 0.000008, batch_cost: 1.2396, reader_cost: 0.00021, ips: 1.6134 samples/sec | ETA 07:47:44 2021-08-23 13:40:13 [INFO] [TRAIN] epoch: 370, iter: 137370/160000, loss: 0.0491, lr: 0.000008, batch_cost: 1.2091, reader_cost: 0.00020, ips: 1.6542 samples/sec | ETA 07:36:01 2021-08-23 13:40:26 [INFO] [TRAIN] epoch: 370, iter: 137380/160000, loss: 0.0476, lr: 0.000008, batch_cost: 1.2243, reader_cost: 0.00021, ips: 1.6336 samples/sec | ETA 07:41:34 2021-08-23 13:40:38 [INFO] [TRAIN] epoch: 370, iter: 137390/160000, loss: 0.0526, lr: 0.000008, batch_cost: 1.2549, reader_cost: 0.00022, ips: 1.5938 samples/sec | ETA 07:52:52 2021-08-23 13:40:50 [INFO] [TRAIN] epoch: 370, iter: 137400/160000, loss: 0.0447, lr: 0.000008, batch_cost: 1.2132, reader_cost: 0.00021, ips: 1.6486 samples/sec | ETA 07:36:57 2021-08-23 13:41:02 [INFO] [TRAIN] epoch: 370, iter: 137410/160000, loss: 0.0487, lr: 0.000008, batch_cost: 1.2105, reader_cost: 0.00022, ips: 1.6523 samples/sec | ETA 07:35:44 2021-08-23 13:41:15 [INFO] [TRAIN] epoch: 370, iter: 137420/160000, loss: 0.0562, lr: 0.000008, batch_cost: 1.2131, reader_cost: 0.00021, ips: 1.6486 samples/sec | ETA 07:36:32 2021-08-23 13:41:27 [INFO] [TRAIN] epoch: 370, iter: 137430/160000, loss: 0.0485, lr: 0.000008, batch_cost: 1.2230, reader_cost: 0.00019, ips: 1.6353 samples/sec | ETA 07:40:03 2021-08-23 13:41:39 [INFO] [TRAIN] epoch: 370, iter: 137440/160000, loss: 0.0457, lr: 0.000008, batch_cost: 1.2047, reader_cost: 0.00021, ips: 1.6601 samples/sec | ETA 07:32:58 2021-08-23 13:41:51 [INFO] [TRAIN] epoch: 370, iter: 137450/160000, loss: 0.0429, lr: 0.000008, batch_cost: 1.2088, reader_cost: 0.00021, ips: 1.6546 samples/sec | ETA 07:34:17 2021-08-23 13:42:03 [INFO] [TRAIN] epoch: 370, iter: 137460/160000, loss: 0.0414, lr: 0.000008, batch_cost: 1.2233, reader_cost: 0.00022, ips: 1.6349 samples/sec | ETA 07:39:34 2021-08-23 13:42:15 [INFO] [TRAIN] epoch: 370, iter: 137470/160000, loss: 0.0446, lr: 0.000008, batch_cost: 1.2202, reader_cost: 0.00024, ips: 1.6391 samples/sec | ETA 07:38:10 2021-08-23 13:42:28 [INFO] [TRAIN] epoch: 370, iter: 137480/160000, loss: 0.0460, lr: 0.000008, batch_cost: 1.2330, reader_cost: 0.00021, ips: 1.6220 samples/sec | ETA 07:42:47 2021-08-23 13:42:40 [INFO] [TRAIN] epoch: 370, iter: 137490/160000, loss: 0.0621, lr: 0.000008, batch_cost: 1.2314, reader_cost: 0.00024, ips: 1.6241 samples/sec | ETA 07:41:59 2021-08-23 13:42:52 [INFO] [TRAIN] epoch: 370, iter: 137500/160000, loss: 0.0454, lr: 0.000008, batch_cost: 1.2369, reader_cost: 0.00022, ips: 1.6170 samples/sec | ETA 07:43:50 2021-08-23 13:43:05 [INFO] [TRAIN] epoch: 370, iter: 137510/160000, loss: 0.0441, lr: 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[INFO] [TRAIN] epoch: 370, iter: 137570/160000, loss: 0.0518, lr: 0.000008, batch_cost: 1.2146, reader_cost: 0.00021, ips: 1.6466 samples/sec | ETA 07:34:03 2021-08-23 13:44:30 [INFO] [TRAIN] epoch: 370, iter: 137580/160000, loss: 0.0461, lr: 0.000008, batch_cost: 1.2359, reader_cost: 0.00022, ips: 1.6183 samples/sec | ETA 07:41:48 2021-08-23 13:44:43 [INFO] [TRAIN] epoch: 370, iter: 137590/160000, loss: 0.0427, lr: 0.000008, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6413 samples/sec | ETA 07:35:07 2021-08-23 13:44:55 [INFO] [TRAIN] epoch: 370, iter: 137600/160000, loss: 0.0403, lr: 0.000008, batch_cost: 1.2074, reader_cost: 0.00022, ips: 1.6565 samples/sec | ETA 07:30:45 2021-08-23 13:45:07 [INFO] [TRAIN] epoch: 370, iter: 137610/160000, loss: 0.0471, lr: 0.000008, batch_cost: 1.2228, reader_cost: 0.00022, ips: 1.6356 samples/sec | ETA 07:36:18 2021-08-23 13:45:19 [INFO] [TRAIN] epoch: 370, iter: 137620/160000, loss: 0.0482, lr: 0.000008, batch_cost: 1.2178, reader_cost: 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07:30:35 2021-08-23 13:51:18 [INFO] [TRAIN] epoch: 371, iter: 137910/160000, loss: 0.0499, lr: 0.000008, batch_cost: 1.2396, reader_cost: 0.00022, ips: 1.6134 samples/sec | ETA 07:36:23 2021-08-23 13:51:31 [INFO] [TRAIN] epoch: 371, iter: 137920/160000, loss: 0.0413, lr: 0.000008, batch_cost: 1.2406, reader_cost: 0.00023, ips: 1.6122 samples/sec | ETA 07:36:31 2021-08-23 13:51:43 [INFO] [TRAIN] epoch: 371, iter: 137930/160000, loss: 0.0513, lr: 0.000008, batch_cost: 1.2264, reader_cost: 0.00023, ips: 1.6308 samples/sec | ETA 07:31:06 2021-08-23 13:51:55 [INFO] [TRAIN] epoch: 371, iter: 137940/160000, loss: 0.0618, lr: 0.000008, batch_cost: 1.2381, reader_cost: 0.00022, ips: 1.6154 samples/sec | ETA 07:35:11 2021-08-23 13:52:08 [INFO] [TRAIN] epoch: 371, iter: 137950/160000, loss: 0.0532, lr: 0.000008, batch_cost: 1.2359, reader_cost: 0.00023, ips: 1.6182 samples/sec | ETA 07:34:11 2021-08-23 13:52:20 [INFO] [TRAIN] epoch: 371, iter: 137960/160000, loss: 0.0454, lr: 0.000008, batch_cost: 1.2428, reader_cost: 0.00022, ips: 1.6092 samples/sec | ETA 07:36:32 2021-08-23 13:52:32 [INFO] [TRAIN] epoch: 371, iter: 137970/160000, loss: 0.0391, lr: 0.000008, batch_cost: 1.2399, reader_cost: 0.00022, ips: 1.6130 samples/sec | ETA 07:35:15 2021-08-23 13:52:45 [INFO] [TRAIN] epoch: 371, iter: 137980/160000, loss: 0.0585, lr: 0.000008, batch_cost: 1.2127, reader_cost: 0.00023, ips: 1.6492 samples/sec | ETA 07:25:03 2021-08-23 13:52:57 [INFO] [TRAIN] epoch: 371, iter: 137990/160000, loss: 0.0437, lr: 0.000008, batch_cost: 1.2467, reader_cost: 0.00021, ips: 1.6042 samples/sec | ETA 07:37:19 2021-08-23 13:53:09 [INFO] [TRAIN] epoch: 371, iter: 138000/160000, loss: 0.0542, lr: 0.000008, batch_cost: 1.2172, reader_cost: 0.00022, ips: 1.6432 samples/sec | ETA 07:26:17 2021-08-23 13:53:21 [INFO] [TRAIN] epoch: 371, iter: 138010/160000, loss: 0.0440, lr: 0.000008, batch_cost: 1.1890, reader_cost: 0.00016, ips: 1.6821 samples/sec | ETA 07:15:45 2021-08-23 13:53:36 [INFO] [TRAIN] epoch: 372, iter: 138020/160000, loss: 0.0399, lr: 0.000008, batch_cost: 1.4949, reader_cost: 0.19647, ips: 1.3378 samples/sec | ETA 09:07:38 2021-08-23 13:53:49 [INFO] [TRAIN] epoch: 372, iter: 138030/160000, loss: 0.0455, lr: 0.000008, batch_cost: 1.2422, reader_cost: 0.00078, ips: 1.6101 samples/sec | ETA 07:34:50 2021-08-23 13:54:01 [INFO] [TRAIN] epoch: 372, iter: 138040/160000, loss: 0.0469, lr: 0.000008, batch_cost: 1.2167, reader_cost: 0.00022, ips: 1.6438 samples/sec | ETA 07:25:18 2021-08-23 13:54:13 [INFO] [TRAIN] epoch: 372, iter: 138050/160000, loss: 0.0521, lr: 0.000008, batch_cost: 1.2263, reader_cost: 0.00024, ips: 1.6309 samples/sec | ETA 07:28:37 2021-08-23 13:54:25 [INFO] [TRAIN] epoch: 372, iter: 138060/160000, loss: 0.0556, lr: 0.000008, batch_cost: 1.2156, reader_cost: 0.00022, ips: 1.6453 samples/sec | ETA 07:24:30 2021-08-23 13:54:37 [INFO] [TRAIN] epoch: 372, iter: 138070/160000, loss: 0.0427, lr: 0.000008, batch_cost: 1.2176, reader_cost: 0.00022, ips: 1.6426 samples/sec | ETA 07:25:01 2021-08-23 13:54:50 [INFO] [TRAIN] epoch: 372, iter: 138080/160000, loss: 0.0552, lr: 0.000008, batch_cost: 1.2321, reader_cost: 0.00023, ips: 1.6233 samples/sec | ETA 07:30:07 2021-08-23 13:55:02 [INFO] [TRAIN] epoch: 372, iter: 138090/160000, loss: 0.0489, lr: 0.000008, batch_cost: 1.2393, reader_cost: 0.00021, ips: 1.6139 samples/sec | ETA 07:32:32 2021-08-23 13:55:14 [INFO] [TRAIN] epoch: 372, iter: 138100/160000, loss: 0.0558, lr: 0.000008, batch_cost: 1.2317, reader_cost: 0.00022, ips: 1.6237 samples/sec | ETA 07:29:34 2021-08-23 13:55:26 [INFO] [TRAIN] epoch: 372, iter: 138110/160000, loss: 0.0447, lr: 0.000008, batch_cost: 1.2135, reader_cost: 0.00022, ips: 1.6482 samples/sec | ETA 07:22:42 2021-08-23 13:55:39 [INFO] [TRAIN] epoch: 372, iter: 138120/160000, loss: 0.0488, lr: 0.000008, batch_cost: 1.2200, reader_cost: 0.00022, ips: 1.6394 samples/sec | ETA 07:24:53 2021-08-23 13:55:51 [INFO] [TRAIN] epoch: 372, iter: 138130/160000, loss: 0.0594, lr: 0.000008, batch_cost: 1.2328, reader_cost: 0.00022, ips: 1.6224 samples/sec | ETA 07:29:20 2021-08-23 13:56:03 [INFO] [TRAIN] epoch: 372, iter: 138140/160000, loss: 0.0520, lr: 0.000008, batch_cost: 1.2210, reader_cost: 0.00021, ips: 1.6380 samples/sec | ETA 07:24:50 2021-08-23 13:56:16 [INFO] [TRAIN] epoch: 372, iter: 138150/160000, loss: 0.0447, lr: 0.000008, batch_cost: 1.2370, reader_cost: 0.00023, ips: 1.6168 samples/sec | ETA 07:30:29 2021-08-23 13:56:28 [INFO] [TRAIN] epoch: 372, iter: 138160/160000, loss: 0.0630, lr: 0.000008, batch_cost: 1.2453, reader_cost: 0.00022, ips: 1.6061 samples/sec | ETA 07:33:16 2021-08-23 13:56:40 [INFO] [TRAIN] epoch: 372, iter: 138170/160000, loss: 0.0558, lr: 0.000008, batch_cost: 1.2158, reader_cost: 0.00023, ips: 1.6451 samples/sec | ETA 07:22:19 2021-08-23 13:56:52 [INFO] [TRAIN] epoch: 372, iter: 138180/160000, loss: 0.0389, lr: 0.000008, batch_cost: 1.2155, reader_cost: 0.00023, ips: 1.6455 samples/sec | ETA 07:22:01 2021-08-23 13:57:05 [INFO] [TRAIN] epoch: 372, iter: 138190/160000, loss: 0.0539, lr: 0.000008, batch_cost: 1.2274, reader_cost: 0.00021, ips: 1.6295 samples/sec | ETA 07:26:08 2021-08-23 13:57:17 [INFO] [TRAIN] epoch: 372, iter: 138200/160000, loss: 0.0597, lr: 0.000008, batch_cost: 1.2051, reader_cost: 0.00020, ips: 1.6596 samples/sec | ETA 07:17:51 2021-08-23 13:57:29 [INFO] [TRAIN] epoch: 372, iter: 138210/160000, loss: 0.0592, lr: 0.000008, batch_cost: 1.2251, reader_cost: 0.00020, ips: 1.6325 samples/sec | ETA 07:24:54 2021-08-23 13:57:41 [INFO] [TRAIN] epoch: 372, iter: 138220/160000, loss: 0.0402, lr: 0.000008, batch_cost: 1.2176, reader_cost: 0.00021, ips: 1.6426 samples/sec | ETA 07:21:59 2021-08-23 13:57:53 [INFO] [TRAIN] epoch: 372, iter: 138230/160000, loss: 0.0454, lr: 0.000008, batch_cost: 1.2351, reader_cost: 0.00022, ips: 1.6193 samples/sec | ETA 07:28:08 2021-08-23 13:58:06 [INFO] [TRAIN] epoch: 372, iter: 138240/160000, loss: 0.0468, lr: 0.000008, batch_cost: 1.2162, reader_cost: 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loss: 0.0492, lr: 0.000008, batch_cost: 1.2189, reader_cost: 0.00023, ips: 1.6408 samples/sec | ETA 07:20:50 2021-08-23 13:59:32 [INFO] [TRAIN] epoch: 372, iter: 138310/160000, loss: 0.0557, lr: 0.000008, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 07:20:29 2021-08-23 13:59:44 [INFO] [TRAIN] epoch: 372, iter: 138320/160000, loss: 0.0501, lr: 0.000008, batch_cost: 1.2178, reader_cost: 0.00021, ips: 1.6423 samples/sec | ETA 07:20:01 2021-08-23 13:59:56 [INFO] [TRAIN] epoch: 372, iter: 138330/160000, loss: 0.0531, lr: 0.000008, batch_cost: 1.2116, reader_cost: 0.00021, ips: 1.6507 samples/sec | ETA 07:17:34 2021-08-23 14:00:08 [INFO] [TRAIN] epoch: 372, iter: 138340/160000, loss: 0.0421, lr: 0.000008, batch_cost: 1.2260, reader_cost: 0.00021, ips: 1.6314 samples/sec | ETA 07:22:34 2021-08-23 14:00:21 [INFO] [TRAIN] epoch: 372, iter: 138350/160000, loss: 0.0392, lr: 0.000008, batch_cost: 1.2354, reader_cost: 0.00023, ips: 1.6189 samples/sec | ETA 07:25:46 2021-08-23 14:00:33 [INFO] [TRAIN] epoch: 372, iter: 138360/160000, loss: 0.0442, lr: 0.000008, batch_cost: 1.2177, reader_cost: 0.00024, ips: 1.6424 samples/sec | ETA 07:19:11 2021-08-23 14:00:45 [INFO] [TRAIN] epoch: 372, iter: 138370/160000, loss: 0.0562, lr: 0.000008, batch_cost: 1.2145, reader_cost: 0.00023, ips: 1.6468 samples/sec | ETA 07:17:48 2021-08-23 14:00:57 [INFO] [TRAIN] epoch: 372, iter: 138380/160000, loss: 0.0536, lr: 0.000008, batch_cost: 1.1929, reader_cost: 0.00018, ips: 1.6766 samples/sec | ETA 07:09:49 2021-08-23 14:01:12 [INFO] [TRAIN] epoch: 373, iter: 138390/160000, loss: 0.0497, lr: 0.000008, batch_cost: 1.5069, reader_cost: 0.20957, ips: 1.3273 samples/sec | ETA 09:02:43 2021-08-23 14:01:24 [INFO] [TRAIN] epoch: 373, iter: 138400/160000, loss: 0.0451, lr: 0.000008, batch_cost: 1.2254, reader_cost: 0.00079, ips: 1.6321 samples/sec | ETA 07:21:09 2021-08-23 14:01:36 [INFO] [TRAIN] epoch: 373, iter: 138410/160000, loss: 0.0500, lr: 0.000008, batch_cost: 1.2301, 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07:18:03 2021-08-23 14:04:03 [INFO] [TRAIN] epoch: 373, iter: 138530/160000, loss: 0.0530, lr: 0.000008, batch_cost: 1.2348, reader_cost: 0.00021, ips: 1.6197 samples/sec | ETA 07:21:51 2021-08-23 14:04:16 [INFO] [TRAIN] epoch: 373, iter: 138540/160000, loss: 0.0480, lr: 0.000008, batch_cost: 1.2246, reader_cost: 0.00023, ips: 1.6332 samples/sec | ETA 07:17:59 2021-08-23 14:04:28 [INFO] [TRAIN] epoch: 373, iter: 138550/160000, loss: 0.0539, lr: 0.000008, batch_cost: 1.2214, reader_cost: 0.00022, ips: 1.6375 samples/sec | ETA 07:16:38 2021-08-23 14:04:40 [INFO] [TRAIN] epoch: 373, iter: 138560/160000, loss: 0.0533, lr: 0.000008, batch_cost: 1.2297, reader_cost: 0.00022, ips: 1.6264 samples/sec | ETA 07:19:24 2021-08-23 14:04:52 [INFO] [TRAIN] epoch: 373, iter: 138570/160000, loss: 0.0527, lr: 0.000008, batch_cost: 1.2244, reader_cost: 0.00022, ips: 1.6334 samples/sec | ETA 07:17:19 2021-08-23 14:05:05 [INFO] [TRAIN] epoch: 373, iter: 138580/160000, loss: 0.0409, lr: 0.000008, batch_cost: 1.2176, reader_cost: 0.00022, ips: 1.6426 samples/sec | ETA 07:14:40 2021-08-23 14:05:17 [INFO] [TRAIN] epoch: 373, iter: 138590/160000, loss: 0.0405, lr: 0.000008, batch_cost: 1.2184, reader_cost: 0.00021, ips: 1.6415 samples/sec | ETA 07:14:46 2021-08-23 14:05:29 [INFO] [TRAIN] epoch: 373, iter: 138600/160000, loss: 0.0454, lr: 0.000008, batch_cost: 1.2241, reader_cost: 0.00072, ips: 1.6338 samples/sec | ETA 07:16:36 2021-08-23 14:05:41 [INFO] [TRAIN] epoch: 373, iter: 138610/160000, loss: 0.0496, lr: 0.000008, batch_cost: 1.2409, reader_cost: 0.00022, ips: 1.6117 samples/sec | ETA 07:22:22 2021-08-23 14:05:54 [INFO] [TRAIN] epoch: 373, iter: 138620/160000, loss: 0.0508, lr: 0.000008, batch_cost: 1.2193, reader_cost: 0.00022, ips: 1.6402 samples/sec | ETA 07:14:29 2021-08-23 14:06:06 [INFO] [TRAIN] epoch: 373, iter: 138630/160000, loss: 0.0496, lr: 0.000008, batch_cost: 1.2247, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 07:16:11 2021-08-23 14:06:18 [INFO] [TRAIN] epoch: 373, iter: 138640/160000, loss: 0.0444, lr: 0.000008, batch_cost: 1.2166, reader_cost: 0.00022, ips: 1.6440 samples/sec | ETA 07:13:05 2021-08-23 14:06:30 [INFO] [TRAIN] epoch: 373, iter: 138650/160000, loss: 0.0479, lr: 0.000008, batch_cost: 1.2163, reader_cost: 0.00021, ips: 1.6443 samples/sec | ETA 07:12:48 2021-08-23 14:06:42 [INFO] [TRAIN] epoch: 373, iter: 138660/160000, loss: 0.0498, lr: 0.000008, batch_cost: 1.2161, reader_cost: 0.00023, ips: 1.6447 samples/sec | ETA 07:12:30 2021-08-23 14:06:55 [INFO] [TRAIN] epoch: 373, iter: 138670/160000, loss: 0.0430, lr: 0.000008, batch_cost: 1.2168, reader_cost: 0.00022, ips: 1.6436 samples/sec | ETA 07:12:35 2021-08-23 14:07:07 [INFO] [TRAIN] epoch: 373, iter: 138680/160000, loss: 0.0540, lr: 0.000008, batch_cost: 1.2172, reader_cost: 0.00022, ips: 1.6432 samples/sec | ETA 07:12:30 2021-08-23 14:07:19 [INFO] [TRAIN] epoch: 373, iter: 138690/160000, loss: 0.0485, lr: 0.000008, batch_cost: 1.2435, reader_cost: 0.00022, ips: 1.6084 samples/sec | ETA 07:21:38 2021-08-23 14:07:31 [INFO] [TRAIN] epoch: 373, iter: 138700/160000, loss: 0.0478, lr: 0.000008, batch_cost: 1.2291, reader_cost: 0.00022, ips: 1.6272 samples/sec | ETA 07:16:20 2021-08-23 14:07:44 [INFO] [TRAIN] epoch: 373, iter: 138710/160000, loss: 0.0525, lr: 0.000008, batch_cost: 1.2211, reader_cost: 0.00022, ips: 1.6379 samples/sec | ETA 07:13:16 2021-08-23 14:07:56 [INFO] [TRAIN] epoch: 373, iter: 138720/160000, loss: 0.0468, lr: 0.000008, batch_cost: 1.2132, reader_cost: 0.00022, ips: 1.6485 samples/sec | ETA 07:10:16 2021-08-23 14:08:08 [INFO] [TRAIN] epoch: 373, iter: 138730/160000, loss: 0.0515, lr: 0.000008, batch_cost: 1.2219, reader_cost: 0.00023, ips: 1.6368 samples/sec | ETA 07:13:10 2021-08-23 14:08:20 [INFO] [TRAIN] epoch: 373, iter: 138740/160000, loss: 0.0477, lr: 0.000008, batch_cost: 1.2196, reader_cost: 0.00021, ips: 1.6399 samples/sec | ETA 07:12:07 2021-08-23 14:08:32 [INFO] [TRAIN] epoch: 373, iter: 138750/160000, loss: 0.0521, lr: 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[INFO] [TRAIN] epoch: 374, iter: 138810/160000, loss: 0.0518, lr: 0.000008, batch_cost: 1.2236, reader_cost: 0.00021, ips: 1.6345 samples/sec | ETA 07:12:09 2021-08-23 14:10:01 [INFO] [TRAIN] epoch: 374, iter: 138820/160000, loss: 0.0423, lr: 0.000008, batch_cost: 1.2205, reader_cost: 0.00022, ips: 1.6386 samples/sec | ETA 07:10:50 2021-08-23 14:10:13 [INFO] [TRAIN] epoch: 374, iter: 138830/160000, loss: 0.0436, lr: 0.000008, batch_cost: 1.2250, reader_cost: 0.00022, ips: 1.6327 samples/sec | ETA 07:12:12 2021-08-23 14:10:25 [INFO] [TRAIN] epoch: 374, iter: 138840/160000, loss: 0.0478, lr: 0.000008, batch_cost: 1.2166, reader_cost: 0.00023, ips: 1.6439 samples/sec | ETA 07:09:03 2021-08-23 14:10:37 [INFO] [TRAIN] epoch: 374, iter: 138850/160000, loss: 0.0463, lr: 0.000008, batch_cost: 1.2310, reader_cost: 0.00024, ips: 1.6247 samples/sec | ETA 07:13:55 2021-08-23 14:10:50 [INFO] [TRAIN] epoch: 374, iter: 138860/160000, loss: 0.0448, lr: 0.000008, batch_cost: 1.2255, reader_cost: 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loss: 0.0487, lr: 0.000008, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6255 samples/sec | ETA 07:12:16 2021-08-23 14:12:16 [INFO] [TRAIN] epoch: 374, iter: 138930/160000, loss: 0.0444, lr: 0.000008, batch_cost: 1.2121, reader_cost: 0.00022, ips: 1.6500 samples/sec | ETA 07:05:39 2021-08-23 14:12:28 [INFO] [TRAIN] epoch: 374, iter: 138940/160000, loss: 0.0541, lr: 0.000008, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6369 samples/sec | ETA 07:08:51 2021-08-23 14:12:40 [INFO] [TRAIN] epoch: 374, iter: 138950/160000, loss: 0.0481, lr: 0.000008, batch_cost: 1.2312, reader_cost: 0.00024, ips: 1.6245 samples/sec | ETA 07:11:56 2021-08-23 14:12:52 [INFO] [TRAIN] epoch: 374, iter: 138960/160000, loss: 0.0527, lr: 0.000008, batch_cost: 1.2325, reader_cost: 0.00021, ips: 1.6227 samples/sec | ETA 07:12:12 2021-08-23 14:13:05 [INFO] [TRAIN] epoch: 374, iter: 138970/160000, loss: 0.0490, lr: 0.000008, batch_cost: 1.2151, reader_cost: 0.00021, ips: 1.6459 samples/sec | ETA 07:05:53 2021-08-23 14:13:17 [INFO] [TRAIN] epoch: 374, iter: 138980/160000, loss: 0.0514, lr: 0.000008, batch_cost: 1.2102, reader_cost: 0.00022, ips: 1.6526 samples/sec | ETA 07:03:58 2021-08-23 14:13:29 [INFO] [TRAIN] epoch: 374, iter: 138990/160000, loss: 0.0488, lr: 0.000008, batch_cost: 1.2197, reader_cost: 0.00022, ips: 1.6397 samples/sec | ETA 07:07:06 2021-08-23 14:13:41 [INFO] [TRAIN] epoch: 374, iter: 139000/160000, loss: 0.0645, lr: 0.000008, batch_cost: 1.2155, reader_cost: 0.00021, ips: 1.6454 samples/sec | ETA 07:05:26 2021-08-23 14:13:54 [INFO] [TRAIN] epoch: 374, iter: 139010/160000, loss: 0.0522, lr: 0.000008, batch_cost: 1.2465, reader_cost: 0.00021, ips: 1.6044 samples/sec | ETA 07:16:04 2021-08-23 14:14:06 [INFO] [TRAIN] epoch: 374, iter: 139020/160000, loss: 0.0469, lr: 0.000008, batch_cost: 1.2240, reader_cost: 0.00020, ips: 1.6340 samples/sec | ETA 07:07:59 2021-08-23 14:14:18 [INFO] [TRAIN] epoch: 374, iter: 139030/160000, loss: 0.0546, lr: 0.000008, batch_cost: 1.2431, 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07:08:55 2021-08-23 14:16:48 [INFO] [TRAIN] epoch: 375, iter: 139150/160000, loss: 0.0591, lr: 0.000008, batch_cost: 1.2331, reader_cost: 0.00023, ips: 1.6219 samples/sec | ETA 07:08:30 2021-08-23 14:17:00 [INFO] [TRAIN] epoch: 375, iter: 139160/160000, loss: 0.0475, lr: 0.000008, batch_cost: 1.2347, reader_cost: 0.00022, ips: 1.6198 samples/sec | ETA 07:08:50 2021-08-23 14:17:12 [INFO] [TRAIN] epoch: 375, iter: 139170/160000, loss: 0.0509, lr: 0.000008, batch_cost: 1.2346, reader_cost: 0.00023, ips: 1.6199 samples/sec | ETA 07:08:36 2021-08-23 14:17:24 [INFO] [TRAIN] epoch: 375, iter: 139180/160000, loss: 0.0517, lr: 0.000008, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6317 samples/sec | ETA 07:05:19 2021-08-23 14:17:37 [INFO] [TRAIN] epoch: 375, iter: 139190/160000, loss: 0.0519, lr: 0.000008, batch_cost: 1.2390, reader_cost: 0.00022, ips: 1.6141 samples/sec | ETA 07:09:44 2021-08-23 14:17:49 [INFO] [TRAIN] epoch: 375, iter: 139200/160000, loss: 0.0548, lr: 0.000008, batch_cost: 1.2343, reader_cost: 0.00023, ips: 1.6204 samples/sec | ETA 07:07:53 2021-08-23 14:18:02 [INFO] [TRAIN] epoch: 375, iter: 139210/160000, loss: 0.0473, lr: 0.000008, batch_cost: 1.2423, reader_cost: 0.00022, ips: 1.6100 samples/sec | ETA 07:10:26 2021-08-23 14:18:14 [INFO] [TRAIN] epoch: 375, iter: 139220/160000, loss: 0.0539, lr: 0.000008, batch_cost: 1.2407, reader_cost: 0.00023, ips: 1.6120 samples/sec | ETA 07:09:41 2021-08-23 14:18:26 [INFO] [TRAIN] epoch: 375, iter: 139230/160000, loss: 0.0587, lr: 0.000008, batch_cost: 1.2403, reader_cost: 0.00022, ips: 1.6125 samples/sec | ETA 07:09:21 2021-08-23 14:18:39 [INFO] [TRAIN] epoch: 375, iter: 139240/160000, loss: 0.0528, lr: 0.000008, batch_cost: 1.2314, reader_cost: 0.00022, ips: 1.6241 samples/sec | ETA 07:06:04 2021-08-23 14:18:51 [INFO] [TRAIN] epoch: 375, iter: 139250/160000, loss: 0.0537, lr: 0.000008, batch_cost: 1.2341, reader_cost: 0.00022, ips: 1.6206 samples/sec | ETA 07:06:48 2021-08-23 14:19:03 [INFO] [TRAIN] epoch: 375, iter: 139260/160000, loss: 0.0422, lr: 0.000008, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 07:01:11 2021-08-23 14:19:15 [INFO] [TRAIN] epoch: 375, iter: 139270/160000, loss: 0.0526, lr: 0.000008, batch_cost: 1.2174, reader_cost: 0.00021, ips: 1.6428 samples/sec | ETA 07:00:37 2021-08-23 14:19:28 [INFO] [TRAIN] epoch: 375, iter: 139280/160000, loss: 0.0537, lr: 0.000008, batch_cost: 1.2222, reader_cost: 0.00021, ips: 1.6364 samples/sec | ETA 07:02:03 2021-08-23 14:19:40 [INFO] [TRAIN] epoch: 375, iter: 139290/160000, loss: 0.0480, lr: 0.000008, batch_cost: 1.2286, reader_cost: 0.00021, ips: 1.6279 samples/sec | ETA 07:04:03 2021-08-23 14:19:53 [INFO] [TRAIN] epoch: 375, iter: 139300/160000, loss: 0.0400, lr: 0.000008, batch_cost: 1.2571, reader_cost: 0.00020, ips: 1.5910 samples/sec | ETA 07:13:41 2021-08-23 14:20:05 [INFO] [TRAIN] epoch: 375, iter: 139310/160000, loss: 0.0444, lr: 0.000008, batch_cost: 1.2679, reader_cost: 0.00021, ips: 1.5774 samples/sec | ETA 07:17:13 2021-08-23 14:20:18 [INFO] [TRAIN] epoch: 375, iter: 139320/160000, loss: 0.0489, lr: 0.000008, batch_cost: 1.2439, reader_cost: 0.00023, ips: 1.6079 samples/sec | ETA 07:08:43 2021-08-23 14:20:30 [INFO] [TRAIN] epoch: 375, iter: 139330/160000, loss: 0.0536, lr: 0.000008, batch_cost: 1.2558, reader_cost: 0.00027, ips: 1.5926 samples/sec | ETA 07:12:36 2021-08-23 14:20:42 [INFO] [TRAIN] epoch: 375, iter: 139340/160000, loss: 0.0479, lr: 0.000008, batch_cost: 1.2139, reader_cost: 0.00022, ips: 1.6475 samples/sec | ETA 06:57:59 2021-08-23 14:20:55 [INFO] [TRAIN] epoch: 375, iter: 139350/160000, loss: 0.0456, lr: 0.000008, batch_cost: 1.2336, reader_cost: 0.00023, ips: 1.6213 samples/sec | ETA 07:04:33 2021-08-23 14:21:07 [INFO] [TRAIN] epoch: 375, iter: 139360/160000, loss: 0.0500, lr: 0.000008, batch_cost: 1.2366, reader_cost: 0.00023, ips: 1.6174 samples/sec | ETA 07:05:22 2021-08-23 14:21:19 [INFO] [TRAIN] epoch: 375, iter: 139370/160000, loss: 0.0458, lr: 0.000008, batch_cost: 1.2196, reader_cost: 0.00022, ips: 1.6398 samples/sec | ETA 06:59:20 2021-08-23 14:21:32 [INFO] [TRAIN] epoch: 375, iter: 139380/160000, loss: 0.0498, lr: 0.000008, batch_cost: 1.2248, reader_cost: 0.00021, ips: 1.6330 samples/sec | ETA 07:00:54 2021-08-23 14:21:44 [INFO] [TRAIN] epoch: 375, iter: 139390/160000, loss: 0.0440, lr: 0.000008, batch_cost: 1.2244, reader_cost: 0.00023, ips: 1.6335 samples/sec | ETA 07:00:34 2021-08-23 14:21:56 [INFO] [TRAIN] epoch: 375, iter: 139400/160000, loss: 0.0479, lr: 0.000008, batch_cost: 1.2246, reader_cost: 0.00023, ips: 1.6332 samples/sec | ETA 07:00:26 2021-08-23 14:22:08 [INFO] [TRAIN] epoch: 375, iter: 139410/160000, loss: 0.0489, lr: 0.000008, batch_cost: 1.2298, reader_cost: 0.00023, ips: 1.6263 samples/sec | ETA 07:02:01 2021-08-23 14:22:21 [INFO] [TRAIN] epoch: 375, iter: 139420/160000, loss: 0.0568, lr: 0.000008, batch_cost: 1.2304, reader_cost: 0.00023, ips: 1.6255 samples/sec | ETA 07:02:01 2021-08-23 14:22:33 [INFO] [TRAIN] epoch: 375, iter: 139430/160000, loss: 0.0483, lr: 0.000008, batch_cost: 1.2192, reader_cost: 0.00021, ips: 1.6404 samples/sec | ETA 06:57:59 2021-08-23 14:22:45 [INFO] [TRAIN] epoch: 375, iter: 139440/160000, loss: 0.0560, lr: 0.000008, batch_cost: 1.2272, reader_cost: 0.00022, ips: 1.6298 samples/sec | ETA 07:00:30 2021-08-23 14:22:57 [INFO] [TRAIN] epoch: 375, iter: 139450/160000, loss: 0.0393, lr: 0.000008, batch_cost: 1.2065, reader_cost: 0.00023, ips: 1.6577 samples/sec | ETA 06:53:14 2021-08-23 14:23:09 [INFO] [TRAIN] epoch: 375, iter: 139460/160000, loss: 0.0517, lr: 0.000008, batch_cost: 1.2170, reader_cost: 0.00021, ips: 1.6434 samples/sec | ETA 06:56:36 2021-08-23 14:23:22 [INFO] [TRAIN] epoch: 375, iter: 139470/160000, loss: 0.0536, lr: 0.000008, batch_cost: 1.2207, reader_cost: 0.00020, ips: 1.6385 samples/sec | ETA 06:57:40 2021-08-23 14:23:34 [INFO] [TRAIN] epoch: 375, iter: 139480/160000, loss: 0.0416, lr: 0.000008, batch_cost: 1.2293, reader_cost: 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loss: 0.0668, lr: 0.000008, batch_cost: 1.2420, reader_cost: 0.00021, ips: 1.6103 samples/sec | ETA 07:03:31 2021-08-23 14:25:02 [INFO] [TRAIN] epoch: 376, iter: 139550/160000, loss: 0.0516, lr: 0.000008, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6305 samples/sec | ETA 06:58:04 2021-08-23 14:25:15 [INFO] [TRAIN] epoch: 376, iter: 139560/160000, loss: 0.0441, lr: 0.000008, batch_cost: 1.2408, reader_cost: 0.00025, ips: 1.6118 samples/sec | ETA 07:02:42 2021-08-23 14:25:27 [INFO] [TRAIN] epoch: 376, iter: 139570/160000, loss: 0.0499, lr: 0.000008, batch_cost: 1.2245, reader_cost: 0.00022, ips: 1.6333 samples/sec | ETA 06:56:56 2021-08-23 14:25:39 [INFO] [TRAIN] epoch: 376, iter: 139580/160000, loss: 0.0498, lr: 0.000008, batch_cost: 1.2214, reader_cost: 0.00021, ips: 1.6374 samples/sec | ETA 06:55:41 2021-08-23 14:25:52 [INFO] [TRAIN] epoch: 376, iter: 139590/160000, loss: 0.0445, lr: 0.000008, batch_cost: 1.2224, reader_cost: 0.00021, ips: 1.6362 samples/sec | ETA 06:55:48 2021-08-23 14:26:04 [INFO] [TRAIN] epoch: 376, iter: 139600/160000, loss: 0.0424, lr: 0.000008, batch_cost: 1.2412, reader_cost: 0.00022, ips: 1.6113 samples/sec | ETA 07:02:00 2021-08-23 14:26:16 [INFO] [TRAIN] epoch: 376, iter: 139610/160000, loss: 0.0525, lr: 0.000008, batch_cost: 1.2191, reader_cost: 0.00022, ips: 1.6406 samples/sec | ETA 06:54:17 2021-08-23 14:26:28 [INFO] [TRAIN] epoch: 376, iter: 139620/160000, loss: 0.0443, lr: 0.000008, batch_cost: 1.2268, reader_cost: 0.00022, ips: 1.6303 samples/sec | ETA 06:56:41 2021-08-23 14:26:41 [INFO] [TRAIN] epoch: 376, iter: 139630/160000, loss: 0.0613, lr: 0.000008, batch_cost: 1.2194, reader_cost: 0.00022, ips: 1.6401 samples/sec | ETA 06:53:59 2021-08-23 14:26:53 [INFO] [TRAIN] epoch: 376, iter: 139640/160000, loss: 0.0526, lr: 0.000008, batch_cost: 1.2220, reader_cost: 0.00021, ips: 1.6367 samples/sec | ETA 06:54:39 2021-08-23 14:27:05 [INFO] [TRAIN] epoch: 376, iter: 139650/160000, loss: 0.0527, lr: 0.000008, batch_cost: 1.2213, 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139710/160000, loss: 0.0512, lr: 0.000008, batch_cost: 1.2269, reader_cost: 0.00022, ips: 1.6302 samples/sec | ETA 06:54:53 2021-08-23 14:28:31 [INFO] [TRAIN] epoch: 376, iter: 139720/160000, loss: 0.0473, lr: 0.000008, batch_cost: 1.2271, reader_cost: 0.00023, ips: 1.6299 samples/sec | ETA 06:54:44 2021-08-23 14:28:43 [INFO] [TRAIN] epoch: 376, iter: 139730/160000, loss: 0.0436, lr: 0.000008, batch_cost: 1.2296, reader_cost: 0.00022, ips: 1.6265 samples/sec | ETA 06:55:24 2021-08-23 14:28:55 [INFO] [TRAIN] epoch: 376, iter: 139740/160000, loss: 0.0512, lr: 0.000008, batch_cost: 1.2147, reader_cost: 0.00022, ips: 1.6465 samples/sec | ETA 06:50:10 2021-08-23 14:29:08 [INFO] [TRAIN] epoch: 376, iter: 139750/160000, loss: 0.0535, lr: 0.000008, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6326 samples/sec | ETA 06:53:27 2021-08-23 14:29:20 [INFO] [TRAIN] epoch: 376, iter: 139760/160000, loss: 0.0580, lr: 0.000008, batch_cost: 1.2411, reader_cost: 0.00022, ips: 1.6114 samples/sec | ETA 06:58:40 2021-08-23 14:29:32 [INFO] [TRAIN] epoch: 376, iter: 139770/160000, loss: 0.0494, lr: 0.000008, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6282 samples/sec | ETA 06:54:09 2021-08-23 14:29:45 [INFO] [TRAIN] epoch: 376, iter: 139780/160000, loss: 0.0423, lr: 0.000008, batch_cost: 1.2431, reader_cost: 0.00021, ips: 1.6089 samples/sec | ETA 06:58:55 2021-08-23 14:29:57 [INFO] [TRAIN] epoch: 376, iter: 139790/160000, loss: 0.0489, lr: 0.000008, batch_cost: 1.2551, reader_cost: 0.00022, ips: 1.5935 samples/sec | ETA 07:02:45 2021-08-23 14:30:10 [INFO] [TRAIN] epoch: 376, iter: 139800/160000, loss: 0.0496, lr: 0.000008, batch_cost: 1.2534, reader_cost: 0.00022, ips: 1.5956 samples/sec | ETA 07:01:58 2021-08-23 14:30:22 [INFO] [TRAIN] epoch: 376, iter: 139810/160000, loss: 0.0495, lr: 0.000008, batch_cost: 1.2135, reader_cost: 0.00024, ips: 1.6481 samples/sec | ETA 06:48:20 2021-08-23 14:30:34 [INFO] [TRAIN] epoch: 376, iter: 139820/160000, loss: 0.0366, lr: 0.000008, batch_cost: 1.2327, reader_cost: 0.00022, ips: 1.6224 samples/sec | ETA 06:54:36 2021-08-23 14:30:47 [INFO] [TRAIN] epoch: 376, iter: 139830/160000, loss: 0.0454, lr: 0.000008, batch_cost: 1.2321, reader_cost: 0.00022, ips: 1.6232 samples/sec | ETA 06:54:12 2021-08-23 14:30:59 [INFO] [TRAIN] epoch: 376, iter: 139840/160000, loss: 0.0487, lr: 0.000008, batch_cost: 1.2263, reader_cost: 0.00023, ips: 1.6309 samples/sec | ETA 06:52:03 2021-08-23 14:31:11 [INFO] [TRAIN] epoch: 376, iter: 139850/160000, loss: 0.0581, lr: 0.000008, batch_cost: 1.2332, reader_cost: 0.00022, ips: 1.6218 samples/sec | ETA 06:54:08 2021-08-23 14:31:23 [INFO] [TRAIN] epoch: 376, iter: 139860/160000, loss: 0.0477, lr: 0.000008, batch_cost: 1.2155, reader_cost: 0.00022, ips: 1.6454 samples/sec | ETA 06:48:00 2021-08-23 14:31:35 [INFO] [TRAIN] epoch: 376, iter: 139870/160000, loss: 0.0402, lr: 0.000008, batch_cost: 1.1794, reader_cost: 0.00015, ips: 1.6957 samples/sec | ETA 06:35:41 2021-08-23 14:31:50 [INFO] [TRAIN] epoch: 377, iter: 139880/160000, loss: 0.0515, lr: 0.000008, batch_cost: 1.4921, reader_cost: 0.24889, ips: 1.3404 samples/sec | ETA 08:20:21 2021-08-23 14:32:03 [INFO] [TRAIN] epoch: 377, iter: 139890/160000, loss: 0.0456, lr: 0.000008, batch_cost: 1.2463, reader_cost: 0.00075, ips: 1.6048 samples/sec | ETA 06:57:42 2021-08-23 14:32:15 [INFO] [TRAIN] epoch: 377, iter: 139900/160000, loss: 0.0448, lr: 0.000008, batch_cost: 1.2114, reader_cost: 0.00022, ips: 1.6510 samples/sec | ETA 06:45:49 2021-08-23 14:32:27 [INFO] [TRAIN] epoch: 377, iter: 139910/160000, loss: 0.0466, lr: 0.000008, batch_cost: 1.2134, reader_cost: 0.00022, ips: 1.6482 samples/sec | ETA 06:46:17 2021-08-23 14:32:39 [INFO] [TRAIN] epoch: 377, iter: 139920/160000, loss: 0.0461, lr: 0.000008, batch_cost: 1.2313, reader_cost: 0.00022, ips: 1.6244 samples/sec | ETA 06:52:03 2021-08-23 14:32:51 [INFO] [TRAIN] epoch: 377, iter: 139930/160000, loss: 0.0478, lr: 0.000008, batch_cost: 1.2249, reader_cost: 0.00023, ips: 1.6328 samples/sec | ETA 06:49:43 2021-08-23 14:33:04 [INFO] [TRAIN] epoch: 377, iter: 139940/160000, loss: 0.0478, lr: 0.000008, batch_cost: 1.2220, reader_cost: 0.00021, ips: 1.6367 samples/sec | ETA 06:48:32 2021-08-23 14:33:16 [INFO] [TRAIN] epoch: 377, iter: 139950/160000, loss: 0.0424, lr: 0.000008, batch_cost: 1.2297, reader_cost: 0.00022, ips: 1.6264 samples/sec | ETA 06:50:56 2021-08-23 14:33:28 [INFO] [TRAIN] epoch: 377, iter: 139960/160000, loss: 0.0404, lr: 0.000008, batch_cost: 1.2130, reader_cost: 0.00021, ips: 1.6487 samples/sec | ETA 06:45:09 2021-08-23 14:33:40 [INFO] [TRAIN] epoch: 377, iter: 139970/160000, loss: 0.0457, lr: 0.000008, batch_cost: 1.2270, reader_cost: 0.00022, ips: 1.6299 samples/sec | ETA 06:49:37 2021-08-23 14:33:52 [INFO] [TRAIN] epoch: 377, iter: 139980/160000, loss: 0.0448, lr: 0.000008, batch_cost: 1.2212, reader_cost: 0.00021, ips: 1.6377 samples/sec | ETA 06:47:28 2021-08-23 14:34:05 [INFO] [TRAIN] epoch: 377, iter: 139990/160000, loss: 0.0502, lr: 0.000008, batch_cost: 1.2328, reader_cost: 0.00024, ips: 1.6223 samples/sec | ETA 06:51:08 2021-08-23 14:34:17 [INFO] [TRAIN] epoch: 377, iter: 140000/160000, loss: 0.0453, lr: 0.000008, batch_cost: 1.2297, reader_cost: 0.00023, ips: 1.6264 samples/sec | ETA 06:49:54 2021-08-23 14:34:17 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 8:15 - batch_cost: 3.9984 - reader cost: 0.4016 2/125 [..............................] - ETA: 6:18 - batch_cost: 3.0800 - reader cost: 0.2009 3/125 [..............................] - ETA: 5:36 - batch_cost: 2.7561 - reader cost: 0.1340 4/125 [..............................] - ETA: 5:13 - batch_cost: 2.5887 - reader cost: 0.1006 5/125 [>.............................] - ETA: 4:58 - batch_cost: 2.4872 - reader cost: 0.0805 6/125 [>.............................] - ETA: 4:47 - batch_cost: 2.4188 - reader cost: 0.0671 7/125 [>.............................] - ETA: 4:39 - batch_cost: 2.3726 - reader cost: 0.0575 8/125 [>.............................] - ETA: 4:33 - batch_cost: 2.3381 - reader cost: 0.0504 9/125 [=>............................] - ETA: 4:28 - batch_cost: 2.3134 - reader cost: 0.0448 10/125 [=>............................] - ETA: 4:23 - batch_cost: 2.2910 - reader cost: 0.0404 11/125 [=>............................] - ETA: 4:19 - batch_cost: 2.2761 - reader cost: 0.0367 12/125 [=>............................] - ETA: 4:15 - batch_cost: 2.2618 - reader cost: 0.0337 13/125 [==>...........................] - ETA: 4:12 - batch_cost: 2.2507 - reader cost: 0.0311 14/125 [==>...........................] - ETA: 4:09 - batch_cost: 2.2437 - reader cost: 0.0289 15/125 [==>...........................] - ETA: 4:05 - batch_cost: 2.2347 - reader cost: 0.0270 16/125 [==>...........................] - ETA: 4:02 - batch_cost: 2.2286 - reader cost: 0.0253 17/125 [===>..........................] - ETA: 3:59 - batch_cost: 2.2215 - reader cost: 0.0238 18/125 [===>..........................] - ETA: 3:57 - batch_cost: 2.2153 - reader cost: 0.0225 19/125 [===>..........................] - ETA: 3:54 - batch_cost: 2.2099 - reader cost: 0.0213 20/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.2032 - reader cost: 0.0203 21/125 [====>.........................] - ETA: 3:48 - batch_cost: 2.1982 - reader cost: 0.0193 22/125 [====>.........................] - ETA: 3:45 - batch_cost: 2.1931 - reader cost: 0.0185 23/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.1899 - reader cost: 0.0177 24/125 [====>.........................] - ETA: 3:40 - batch_cost: 2.1855 - reader cost: 0.0169 25/125 [=====>........................] - ETA: 3:38 - batch_cost: 2.1815 - reader cost: 0.0163 26/125 [=====>........................] - ETA: 3:35 - batch_cost: 2.1780 - reader cost: 0.0156 27/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1738 - reader cost: 0.0151 28/125 [=====>........................] - ETA: 3:30 - batch_cost: 2.1721 - reader cost: 0.0145 29/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1677 - reader cost: 0.0140 30/125 [======>.......................] - ETA: 3:25 - batch_cost: 2.1658 - reader cost: 0.0136 31/125 [======>.......................] - ETA: 3:23 - batch_cost: 2.1622 - reader cost: 0.0132 32/125 [======>.......................] - ETA: 3:20 - batch_cost: 2.1596 - reader cost: 0.0127 33/125 [======>.......................] - ETA: 3:18 - batch_cost: 2.1567 - reader cost: 0.0124 34/125 [=======>......................] - ETA: 3:16 - batch_cost: 2.1536 - reader cost: 0.0120 35/125 [=======>......................] - ETA: 3:13 - batch_cost: 2.1508 - reader cost: 0.0117 36/125 [=======>......................] - ETA: 3:11 - batch_cost: 2.1487 - reader cost: 0.0114 37/125 [=======>......................] - ETA: 3:08 - batch_cost: 2.1468 - reader cost: 0.0111 38/125 [========>.....................] - ETA: 3:06 - batch_cost: 2.1437 - reader cost: 0.0108 39/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1431 - reader cost: 0.0105 40/125 [========>.....................] - ETA: 3:02 - batch_cost: 2.1417 - reader cost: 0.0102 41/125 [========>.....................] - ETA: 2:59 - batch_cost: 2.1403 - reader cost: 0.0100 42/125 [=========>....................] - ETA: 2:57 - batch_cost: 2.1397 - reader cost: 0.0098 43/125 [=========>....................] - ETA: 2:55 - batch_cost: 2.1392 - reader cost: 0.0095 44/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1391 - reader cost: 0.0093 45/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1381 - reader cost: 0.0091 46/125 [==========>...................] - ETA: 2:48 - batch_cost: 2.1379 - reader cost: 0.0089 47/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1368 - reader cost: 0.0087 48/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1360 - reader cost: 0.0086 49/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1349 - reader cost: 0.0084 50/125 [===========>..................] - ETA: 2:40 - batch_cost: 2.1338 - reader cost: 0.0082 51/125 [===========>..................] - ETA: 2:37 - batch_cost: 2.1332 - reader cost: 0.0081 52/125 [===========>..................] - ETA: 2:35 - batch_cost: 2.1325 - reader cost: 0.0079 53/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.1321 - reader cost: 0.0078 54/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.1318 - reader cost: 0.0076 55/125 [============>.................] - ETA: 2:29 - batch_cost: 2.1317 - reader cost: 0.0075 56/125 [============>.................] - ETA: 2:27 - batch_cost: 2.1312 - reader cost: 0.0074 57/125 [============>.................] - ETA: 2:24 - batch_cost: 2.1297 - reader cost: 0.0072 58/125 [============>.................] - ETA: 2:22 - batch_cost: 2.1279 - reader cost: 0.0071 59/125 [=============>................] - ETA: 2:20 - batch_cost: 2.1272 - reader cost: 0.0070 60/125 [=============>................] - ETA: 2:18 - batch_cost: 2.1284 - reader cost: 0.0069 61/125 [=============>................] - ETA: 2:16 - batch_cost: 2.1277 - reader cost: 0.0068 62/125 [=============>................] - ETA: 2:14 - batch_cost: 2.1278 - reader cost: 0.0067 63/125 [==============>...............] - ETA: 2:11 - batch_cost: 2.1273 - reader cost: 0.0066 64/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.1277 - reader cost: 0.0065 65/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.1283 - reader cost: 0.0064 66/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.1269 - reader cost: 0.0063 67/125 [===============>..............] - ETA: 2:03 - batch_cost: 2.1266 - reader cost: 0.0062 68/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1234 - reader cost: 0.0061 69/125 [===============>..............] - ETA: 1:58 - batch_cost: 2.1228 - reader cost: 0.0060 70/125 [===============>..............] - ETA: 1:56 - batch_cost: 2.1210 - reader cost: 0.0059 71/125 [================>.............] - ETA: 1:54 - batch_cost: 2.1193 - reader cost: 0.0059 72/125 [================>.............] - ETA: 1:52 - batch_cost: 2.1186 - reader cost: 0.0058 73/125 [================>.............] - ETA: 1:50 - batch_cost: 2.1164 - reader cost: 0.0057 74/125 [================>.............] - ETA: 1:47 - batch_cost: 2.1151 - reader cost: 0.0056 75/125 [=================>............] - ETA: 1:45 - batch_cost: 2.1134 - reader cost: 0.0056 76/125 [=================>............] - ETA: 1:43 - batch_cost: 2.1125 - reader cost: 0.0055 77/125 [=================>............] - ETA: 1:41 - batch_cost: 2.1116 - reader cost: 0.0054 78/125 [=================>............] - ETA: 1:39 - batch_cost: 2.1114 - reader cost: 0.0053 79/125 [=================>............] - ETA: 1:37 - batch_cost: 2.1102 - reader cost: 0.0053 80/125 [==================>...........] - ETA: 1:34 - batch_cost: 2.1088 - reader cost: 0.0052 81/125 [==================>...........] - ETA: 1:32 - batch_cost: 2.1088 - reader cost: 0.0052 82/125 [==================>...........] - ETA: 1:30 - batch_cost: 2.1080 - reader cost: 0.0051 83/125 [==================>...........] - ETA: 1:28 - batch_cost: 2.1069 - reader cost: 0.0050 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1065 - reader cost: 0.0050 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1061 - reader cost: 0.0049 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1048 - reader cost: 0.0049 87/125 [===================>..........] - ETA: 1:19 - batch_cost: 2.1049 - reader cost: 0.0048 88/125 [====================>.........] - ETA: 1:17 - batch_cost: 2.1043 - reader cost: 0.0048 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.1037 - reader cost: 0.0047 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.1032 - reader cost: 0.0047 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.1024 - reader cost: 0.0046 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1021 - reader cost: 0.0046 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1014 - reader cost: 0.0045 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1008 - reader cost: 0.0045 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1009 - reader cost: 0.0044 96/125 [======================>.......] - ETA: 1:00 - batch_cost: 2.1011 - reader cost: 0.0044 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.1013 - reader cost: 0.0043  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.1016 - reader cost: 0.0043 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.1021 - reader cost: 0.0043 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.1025 - reader cost: 0.0042 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.1025 - reader cost: 0.0042 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1027 - reader cost: 0.0041 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1028 - reader cost: 0.0041 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1031 - reader cost: 0.0041 105/125 [========================>.....] - ETA: 42s - batch_cost: 2.1034 - reader cost: 0.0040 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.1036 - reader cost: 0.0040 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.1038 - reader cost: 0.0039 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.1045 - reader cost: 0.0039 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.1044 - reader cost: 0.0039 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.1047 - reader cost: 0.0038 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.1046 - reader cost: 0.0038 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.1049 - reader cost: 0.0038 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.1050 - reader cost: 0.0038 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.1048 - reader cost: 0.0037 115/125 [==========================>...] - ETA: 21s - batch_cost: 2.1050 - reader cost: 0.0037 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.1056 - reader cost: 0.0037 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.1055 - reader cost: 0.0036 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.1053 - reader cost: 0.0036 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.1046 - reader cost: 0.0036 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.1051 - reader cost: 0.0035 121/125 [============================>.] - ETA: 8s - batch_cost: 2.1050 - reader cost: 0.0035  122/125 [============================>.] - ETA: 6s - batch_cost: 2.1049 - reader cost: 0.0035 123/125 [============================>.] - ETA: 4s - batch_cost: 2.1052 - reader cost: 0.0035 124/125 [============================>.] - ETA: 2s - batch_cost: 2.1045 - reader cost: 0.0034 125/125 [==============================] - 263s 2s/step - batch_cost: 2.1046 - reader cost: 0.0034 2021-08-23 14:38:40 [INFO] [EVAL] #Images: 500 mIoU: 0.8216 Acc: 0.9672 Kappa: 0.9575 2021-08-23 14:38:40 [INFO] [EVAL] Class IoU: [0.9841 0.8704 0.9383 0.6965 0.6649 0.7018 0.7569 0.8278 0.9321 0.6542 0.9564 0.8502 0.6794 0.958 0.8325 0.9061 0.8719 0.7262 0.8028] 2021-08-23 14:38:40 [INFO] [EVAL] Class Acc: [0.9929 0.9232 0.9658 0.8948 0.8642 0.8528 0.8733 0.9162 0.9595 0.8265 0.9733 0.9113 0.8094 0.9749 0.9625 0.9448 0.9642 0.8703 0.8752] 2021-08-23 14:38:43 [INFO] [EVAL] The model with the best validation mIoU (0.8245) was saved at iter 116000. 2021-08-23 14:38:55 [INFO] [TRAIN] epoch: 377, iter: 140010/160000, loss: 0.0648, lr: 0.000007, batch_cost: 1.2087, reader_cost: 0.00130, ips: 1.6546 samples/sec | ETA 06:42:42 2021-08-23 14:39:07 [INFO] [TRAIN] epoch: 377, iter: 140020/160000, loss: 0.0449, lr: 0.000007, batch_cost: 1.2222, reader_cost: 0.00023, ips: 1.6364 samples/sec | ETA 06:46:58 2021-08-23 14:39:19 [INFO] [TRAIN] epoch: 377, iter: 140030/160000, loss: 0.0440, lr: 0.000007, batch_cost: 1.2232, reader_cost: 0.00021, ips: 1.6351 samples/sec | ETA 06:47:06 2021-08-23 14:39:32 [INFO] [TRAIN] epoch: 377, iter: 140040/160000, loss: 0.0528, lr: 0.000007, batch_cost: 1.2129, reader_cost: 0.00020, ips: 1.6489 samples/sec | ETA 06:43:29 2021-08-23 14:39:44 [INFO] [TRAIN] epoch: 377, iter: 140050/160000, loss: 0.0463, lr: 0.000007, batch_cost: 1.2223, reader_cost: 0.00021, ips: 1.6362 samples/sec | ETA 06:46:25 2021-08-23 14:39:56 [INFO] [TRAIN] epoch: 377, iter: 140060/160000, loss: 0.0374, lr: 0.000007, batch_cost: 1.2096, reader_cost: 0.00021, ips: 1.6534 samples/sec | ETA 06:41:59 2021-08-23 14:40:08 [INFO] [TRAIN] epoch: 377, iter: 140070/160000, loss: 0.0464, lr: 0.000007, batch_cost: 1.2151, reader_cost: 0.00022, ips: 1.6460 samples/sec | ETA 06:43:36 2021-08-23 14:40:20 [INFO] [TRAIN] epoch: 377, iter: 140080/160000, loss: 0.0472, lr: 0.000007, batch_cost: 1.2254, reader_cost: 0.00023, ips: 1.6321 samples/sec | ETA 06:46:49 2021-08-23 14:40:32 [INFO] [TRAIN] epoch: 377, iter: 140090/160000, loss: 0.0460, lr: 0.000007, batch_cost: 1.2036, reader_cost: 0.00023, ips: 1.6617 samples/sec | ETA 06:39:23 2021-08-23 14:40:45 [INFO] [TRAIN] epoch: 377, iter: 140100/160000, loss: 0.0470, lr: 0.000007, batch_cost: 1.2334, reader_cost: 0.00023, ips: 1.6215 samples/sec | ETA 06:49:04 2021-08-23 14:40:57 [INFO] [TRAIN] epoch: 377, iter: 140110/160000, loss: 0.0575, lr: 0.000007, batch_cost: 1.2230, reader_cost: 0.00021, ips: 1.6353 samples/sec | ETA 06:45:25 2021-08-23 14:41:09 [INFO] [TRAIN] epoch: 377, iter: 140120/160000, loss: 0.0569, lr: 0.000007, batch_cost: 1.2182, reader_cost: 0.00022, ips: 1.6418 samples/sec | ETA 06:43:38 2021-08-23 14:41:21 [INFO] [TRAIN] epoch: 377, iter: 140130/160000, loss: 0.0420, lr: 0.000007, batch_cost: 1.2074, reader_cost: 0.00021, ips: 1.6565 samples/sec | ETA 06:39:50 2021-08-23 14:41:34 [INFO] [TRAIN] epoch: 377, iter: 140140/160000, loss: 0.0518, lr: 0.000007, batch_cost: 1.2380, reader_cost: 0.00023, ips: 1.6155 samples/sec | ETA 06:49:46 2021-08-23 14:41:46 [INFO] [TRAIN] epoch: 377, iter: 140150/160000, loss: 0.0450, lr: 0.000007, batch_cost: 1.2203, reader_cost: 0.00023, ips: 1.6390 samples/sec | ETA 06:43:42 2021-08-23 14:41:58 [INFO] [TRAIN] epoch: 377, iter: 140160/160000, loss: 0.0409, lr: 0.000007, batch_cost: 1.2332, reader_cost: 0.00022, ips: 1.6218 samples/sec | ETA 06:47:46 2021-08-23 14:42:10 [INFO] [TRAIN] epoch: 377, iter: 140170/160000, loss: 0.0485, lr: 0.000007, batch_cost: 1.2155, reader_cost: 0.00021, ips: 1.6455 samples/sec | ETA 06:41:42 2021-08-23 14:42:23 [INFO] [TRAIN] epoch: 377, iter: 140180/160000, loss: 0.0481, lr: 0.000007, batch_cost: 1.2296, reader_cost: 0.00022, ips: 1.6265 samples/sec | ETA 06:46:11 2021-08-23 14:42:35 [INFO] [TRAIN] epoch: 377, iter: 140190/160000, loss: 0.0417, lr: 0.000007, batch_cost: 1.2256, reader_cost: 0.00022, ips: 1.6318 samples/sec | ETA 06:44:39 2021-08-23 14:42:47 [INFO] [TRAIN] epoch: 377, iter: 140200/160000, loss: 0.0378, lr: 0.000007, batch_cost: 1.2357, reader_cost: 0.00024, ips: 1.6185 samples/sec | ETA 06:47:47 2021-08-23 14:42:59 [INFO] [TRAIN] epoch: 377, iter: 140210/160000, loss: 0.0615, lr: 0.000007, batch_cost: 1.2314, reader_cost: 0.00023, ips: 1.6241 samples/sec | ETA 06:46:10 2021-08-23 14:43:12 [INFO] [TRAIN] epoch: 377, iter: 140220/160000, loss: 0.0516, lr: 0.000007, batch_cost: 1.2172, reader_cost: 0.00021, ips: 1.6431 samples/sec | ETA 06:41:15 2021-08-23 14:43:24 [INFO] [TRAIN] epoch: 377, iter: 140230/160000, loss: 0.0482, lr: 0.000007, batch_cost: 1.2293, reader_cost: 0.00021, ips: 1.6270 samples/sec | ETA 06:45:02 2021-08-23 14:43:36 [INFO] [TRAIN] epoch: 377, iter: 140240/160000, loss: 0.0425, lr: 0.000007, batch_cost: 1.1913, 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06:43:15 2021-08-23 14:46:06 [INFO] [TRAIN] epoch: 378, iter: 140360/160000, loss: 0.0545, lr: 0.000007, batch_cost: 1.2140, reader_cost: 0.00022, ips: 1.6474 samples/sec | ETA 06:37:23 2021-08-23 14:46:18 [INFO] [TRAIN] epoch: 378, iter: 140370/160000, loss: 0.0498, lr: 0.000007, batch_cost: 1.2147, reader_cost: 0.00021, ips: 1.6465 samples/sec | ETA 06:37:24 2021-08-23 14:46:30 [INFO] [TRAIN] epoch: 378, iter: 140380/160000, loss: 0.0491, lr: 0.000007, batch_cost: 1.2111, reader_cost: 0.00022, ips: 1.6514 samples/sec | ETA 06:36:01 2021-08-23 14:46:42 [INFO] [TRAIN] epoch: 378, iter: 140390/160000, loss: 0.0483, lr: 0.000007, batch_cost: 1.2207, reader_cost: 0.00022, ips: 1.6384 samples/sec | ETA 06:38:57 2021-08-23 14:46:55 [INFO] [TRAIN] epoch: 378, iter: 140400/160000, loss: 0.0547, lr: 0.000007, batch_cost: 1.2262, reader_cost: 0.00022, ips: 1.6311 samples/sec | ETA 06:40:33 2021-08-23 14:47:07 [INFO] [TRAIN] epoch: 378, iter: 140410/160000, loss: 0.0543, lr: 0.000007, batch_cost: 1.2299, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 06:41:33 2021-08-23 14:47:19 [INFO] [TRAIN] epoch: 378, iter: 140420/160000, loss: 0.0511, lr: 0.000007, batch_cost: 1.2446, reader_cost: 0.00023, ips: 1.6069 samples/sec | ETA 06:46:09 2021-08-23 14:47:32 [INFO] [TRAIN] epoch: 378, iter: 140430/160000, loss: 0.0484, lr: 0.000007, batch_cost: 1.2190, reader_cost: 0.00022, ips: 1.6407 samples/sec | ETA 06:37:36 2021-08-23 14:47:44 [INFO] [TRAIN] epoch: 378, iter: 140440/160000, loss: 0.0471, lr: 0.000007, batch_cost: 1.2744, reader_cost: 0.00022, ips: 1.5694 samples/sec | ETA 06:55:27 2021-08-23 14:47:57 [INFO] [TRAIN] epoch: 378, iter: 140450/160000, loss: 0.0523, lr: 0.000007, batch_cost: 1.2471, reader_cost: 0.00022, ips: 1.6037 samples/sec | ETA 06:46:20 2021-08-23 14:48:09 [INFO] [TRAIN] epoch: 378, iter: 140460/160000, loss: 0.0534, lr: 0.000007, batch_cost: 1.2230, reader_cost: 0.00065, ips: 1.6353 samples/sec | ETA 06:38:17 2021-08-23 14:48:21 [INFO] [TRAIN] epoch: 378, iter: 140470/160000, loss: 0.0569, lr: 0.000007, batch_cost: 1.2174, reader_cost: 0.00020, ips: 1.6429 samples/sec | ETA 06:36:15 2021-08-23 14:48:33 [INFO] [TRAIN] epoch: 378, iter: 140480/160000, loss: 0.0515, lr: 0.000007, batch_cost: 1.2211, reader_cost: 0.00022, ips: 1.6378 samples/sec | ETA 06:37:16 2021-08-23 14:48:46 [INFO] [TRAIN] epoch: 378, iter: 140490/160000, loss: 0.0520, lr: 0.000007, batch_cost: 1.2214, reader_cost: 0.00020, ips: 1.6374 samples/sec | ETA 06:37:10 2021-08-23 14:48:58 [INFO] [TRAIN] epoch: 378, iter: 140500/160000, loss: 0.0447, lr: 0.000007, batch_cost: 1.2230, reader_cost: 0.00023, ips: 1.6353 samples/sec | ETA 06:37:28 2021-08-23 14:49:10 [INFO] [TRAIN] epoch: 378, iter: 140510/160000, loss: 0.0446, lr: 0.000007, batch_cost: 1.2141, reader_cost: 0.00021, ips: 1.6473 samples/sec | ETA 06:34:22 2021-08-23 14:49:22 [INFO] [TRAIN] epoch: 378, iter: 140520/160000, loss: 0.0456, lr: 0.000007, batch_cost: 1.2098, reader_cost: 0.00020, ips: 1.6531 samples/sec | ETA 06:32:47 2021-08-23 14:49:34 [INFO] [TRAIN] epoch: 378, iter: 140530/160000, loss: 0.0477, lr: 0.000007, batch_cost: 1.2271, reader_cost: 0.00021, ips: 1.6298 samples/sec | ETA 06:38:12 2021-08-23 14:49:47 [INFO] [TRAIN] epoch: 378, iter: 140540/160000, loss: 0.0508, lr: 0.000007, batch_cost: 1.2221, reader_cost: 0.00021, ips: 1.6365 samples/sec | ETA 06:36:21 2021-08-23 14:49:59 [INFO] [TRAIN] epoch: 378, iter: 140550/160000, loss: 0.0503, lr: 0.000007, batch_cost: 1.2224, reader_cost: 0.00023, ips: 1.6361 samples/sec | ETA 06:36:15 2021-08-23 14:50:11 [INFO] [TRAIN] epoch: 378, iter: 140560/160000, loss: 0.0519, lr: 0.000007, batch_cost: 1.2099, reader_cost: 0.00022, ips: 1.6530 samples/sec | ETA 06:32:00 2021-08-23 14:50:23 [INFO] [TRAIN] epoch: 378, iter: 140570/160000, loss: 0.0447, lr: 0.000007, batch_cost: 1.2159, reader_cost: 0.00022, ips: 1.6448 samples/sec | ETA 06:33:45 2021-08-23 14:50:35 [INFO] [TRAIN] epoch: 378, iter: 140580/160000, loss: 0.0519, lr: 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[INFO] [TRAIN] epoch: 379, iter: 140640/160000, loss: 0.0575, lr: 0.000007, batch_cost: 1.2208, reader_cost: 0.00022, ips: 1.6383 samples/sec | ETA 06:33:54 2021-08-23 14:52:04 [INFO] [TRAIN] epoch: 379, iter: 140650/160000, loss: 0.0467, lr: 0.000007, batch_cost: 1.2121, reader_cost: 0.00021, ips: 1.6500 samples/sec | ETA 06:30:54 2021-08-23 14:52:16 [INFO] [TRAIN] epoch: 379, iter: 140660/160000, loss: 0.0467, lr: 0.000007, batch_cost: 1.2259, reader_cost: 0.00022, ips: 1.6315 samples/sec | ETA 06:35:08 2021-08-23 14:52:28 [INFO] [TRAIN] epoch: 379, iter: 140670/160000, loss: 0.0579, lr: 0.000007, batch_cost: 1.2161, reader_cost: 0.00022, ips: 1.6446 samples/sec | ETA 06:31:47 2021-08-23 14:52:41 [INFO] [TRAIN] epoch: 379, iter: 140680/160000, loss: 0.0528, lr: 0.000007, batch_cost: 1.2303, reader_cost: 0.00021, ips: 1.6256 samples/sec | ETA 06:36:09 2021-08-23 14:52:53 [INFO] [TRAIN] epoch: 379, iter: 140690/160000, loss: 0.0454, lr: 0.000007, batch_cost: 1.2210, reader_cost: 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loss: 0.0543, lr: 0.000007, batch_cost: 1.2288, reader_cost: 0.00021, ips: 1.6276 samples/sec | ETA 06:34:13 2021-08-23 14:54:19 [INFO] [TRAIN] epoch: 379, iter: 140760/160000, loss: 0.0506, lr: 0.000007, batch_cost: 1.2334, reader_cost: 0.00022, ips: 1.6215 samples/sec | ETA 06:35:30 2021-08-23 14:54:31 [INFO] [TRAIN] epoch: 379, iter: 140770/160000, loss: 0.0444, lr: 0.000007, batch_cost: 1.2285, reader_cost: 0.00019, ips: 1.6280 samples/sec | ETA 06:33:43 2021-08-23 14:54:43 [INFO] [TRAIN] epoch: 379, iter: 140780/160000, loss: 0.0532, lr: 0.000007, batch_cost: 1.2304, reader_cost: 0.00024, ips: 1.6255 samples/sec | ETA 06:34:08 2021-08-23 14:54:56 [INFO] [TRAIN] epoch: 379, iter: 140790/160000, loss: 0.0433, lr: 0.000007, batch_cost: 1.2430, reader_cost: 0.00020, ips: 1.6090 samples/sec | ETA 06:37:58 2021-08-23 14:55:08 [INFO] [TRAIN] epoch: 379, iter: 140800/160000, loss: 0.0415, lr: 0.000007, batch_cost: 1.2332, reader_cost: 0.00023, ips: 1.6217 samples/sec | ETA 06:34:38 2021-08-23 14:55:20 [INFO] [TRAIN] epoch: 379, iter: 140810/160000, loss: 0.0548, lr: 0.000007, batch_cost: 1.2195, reader_cost: 0.00022, ips: 1.6400 samples/sec | ETA 06:30:02 2021-08-23 14:55:33 [INFO] [TRAIN] epoch: 379, iter: 140820/160000, loss: 0.0498, lr: 0.000007, batch_cost: 1.2154, reader_cost: 0.00021, ips: 1.6455 samples/sec | ETA 06:28:31 2021-08-23 14:55:45 [INFO] [TRAIN] epoch: 379, iter: 140830/160000, loss: 0.0475, lr: 0.000007, batch_cost: 1.2343, reader_cost: 0.00022, ips: 1.6204 samples/sec | ETA 06:34:20 2021-08-23 14:55:57 [INFO] [TRAIN] epoch: 379, iter: 140840/160000, loss: 0.0419, lr: 0.000007, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6359 samples/sec | ETA 06:30:24 2021-08-23 14:56:09 [INFO] [TRAIN] epoch: 379, iter: 140850/160000, loss: 0.0444, lr: 0.000007, batch_cost: 1.2241, reader_cost: 0.00021, ips: 1.6338 samples/sec | ETA 06:30:41 2021-08-23 14:56:22 [INFO] [TRAIN] epoch: 379, iter: 140860/160000, loss: 0.0531, lr: 0.000007, batch_cost: 1.2284, 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06:25:17 2021-08-23 14:58:48 [INFO] [TRAIN] epoch: 379, iter: 140980/160000, loss: 0.0476, lr: 0.000007, batch_cost: 1.2255, reader_cost: 0.00021, ips: 1.6320 samples/sec | ETA 06:28:28 2021-08-23 14:59:03 [INFO] [TRAIN] epoch: 380, iter: 140990/160000, loss: 0.0420, lr: 0.000007, batch_cost: 1.5056, reader_cost: 0.20180, ips: 1.3284 samples/sec | ETA 07:57:01 2021-08-23 14:59:16 [INFO] [TRAIN] epoch: 380, iter: 141000/160000, loss: 0.0402, lr: 0.000007, batch_cost: 1.2308, reader_cost: 0.00077, ips: 1.6250 samples/sec | ETA 06:29:44 2021-08-23 14:59:28 [INFO] [TRAIN] epoch: 380, iter: 141010/160000, loss: 0.0437, lr: 0.000007, batch_cost: 1.2354, reader_cost: 0.00020, ips: 1.6189 samples/sec | ETA 06:30:59 2021-08-23 14:59:40 [INFO] [TRAIN] epoch: 380, iter: 141020/160000, loss: 0.0470, lr: 0.000007, batch_cost: 1.2350, reader_cost: 0.00022, ips: 1.6194 samples/sec | ETA 06:30:40 2021-08-23 14:59:53 [INFO] [TRAIN] epoch: 380, iter: 141030/160000, loss: 0.0460, lr: 0.000007, batch_cost: 1.2293, reader_cost: 0.00021, ips: 1.6270 samples/sec | ETA 06:28:39 2021-08-23 15:00:05 [INFO] [TRAIN] epoch: 380, iter: 141040/160000, loss: 0.0508, lr: 0.000007, batch_cost: 1.2391, reader_cost: 0.00021, ips: 1.6141 samples/sec | ETA 06:31:33 2021-08-23 15:00:17 [INFO] [TRAIN] epoch: 380, iter: 141050/160000, loss: 0.0531, lr: 0.000007, batch_cost: 1.2353, reader_cost: 0.00021, ips: 1.6190 samples/sec | ETA 06:30:09 2021-08-23 15:00:30 [INFO] [TRAIN] epoch: 380, iter: 141060/160000, loss: 0.0447, lr: 0.000007, batch_cost: 1.2269, reader_cost: 0.00022, ips: 1.6301 samples/sec | ETA 06:27:18 2021-08-23 15:00:42 [INFO] [TRAIN] epoch: 380, iter: 141070/160000, loss: 0.0437, lr: 0.000007, batch_cost: 1.2193, reader_cost: 0.00024, ips: 1.6403 samples/sec | ETA 06:24:41 2021-08-23 15:00:54 [INFO] [TRAIN] epoch: 380, iter: 141080/160000, loss: 0.0434, lr: 0.000007, batch_cost: 1.2211, reader_cost: 0.00021, ips: 1.6378 samples/sec | ETA 06:25:03 2021-08-23 15:01:06 [INFO] [TRAIN] epoch: 380, iter: 141090/160000, loss: 0.0463, lr: 0.000007, batch_cost: 1.2235, reader_cost: 0.00021, ips: 1.6347 samples/sec | ETA 06:25:36 2021-08-23 15:01:19 [INFO] [TRAIN] epoch: 380, iter: 141100/160000, loss: 0.0444, lr: 0.000007, batch_cost: 1.2201, reader_cost: 0.00021, ips: 1.6392 samples/sec | ETA 06:24:19 2021-08-23 15:01:31 [INFO] [TRAIN] epoch: 380, iter: 141110/160000, loss: 0.0475, lr: 0.000007, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6339 samples/sec | ETA 06:25:22 2021-08-23 15:01:43 [INFO] [TRAIN] epoch: 380, iter: 141120/160000, loss: 0.0489, lr: 0.000007, batch_cost: 1.2332, reader_cost: 0.00024, ips: 1.6218 samples/sec | ETA 06:28:03 2021-08-23 15:01:55 [INFO] [TRAIN] epoch: 380, iter: 141130/160000, loss: 0.0522, lr: 0.000007, batch_cost: 1.2238, reader_cost: 0.00022, ips: 1.6342 samples/sec | ETA 06:24:53 2021-08-23 15:02:08 [INFO] [TRAIN] epoch: 380, iter: 141140/160000, loss: 0.0574, lr: 0.000007, batch_cost: 1.2272, reader_cost: 0.00021, ips: 1.6297 samples/sec | ETA 06:25:45 2021-08-23 15:02:20 [INFO] [TRAIN] epoch: 380, iter: 141150/160000, loss: 0.0447, lr: 0.000007, batch_cost: 1.2314, reader_cost: 0.00022, ips: 1.6241 samples/sec | ETA 06:26:52 2021-08-23 15:02:32 [INFO] [TRAIN] epoch: 380, iter: 141160/160000, loss: 0.0447, lr: 0.000007, batch_cost: 1.2307, reader_cost: 0.00021, ips: 1.6250 samples/sec | ETA 06:26:27 2021-08-23 15:02:45 [INFO] [TRAIN] epoch: 380, iter: 141170/160000, loss: 0.0377, lr: 0.000007, batch_cost: 1.2357, reader_cost: 0.00024, ips: 1.6186 samples/sec | ETA 06:27:47 2021-08-23 15:02:57 [INFO] [TRAIN] epoch: 380, iter: 141180/160000, loss: 0.0444, lr: 0.000007, batch_cost: 1.2270, reader_cost: 0.00023, ips: 1.6300 samples/sec | ETA 06:24:51 2021-08-23 15:03:09 [INFO] [TRAIN] epoch: 380, iter: 141190/160000, loss: 0.0531, lr: 0.000007, batch_cost: 1.2384, reader_cost: 0.00024, ips: 1.6150 samples/sec | ETA 06:28:14 2021-08-23 15:03:22 [INFO] [TRAIN] epoch: 380, iter: 141200/160000, loss: 0.0494, lr: 0.000007, batch_cost: 1.2316, reader_cost: 0.00020, ips: 1.6239 samples/sec | ETA 06:25:54 2021-08-23 15:03:34 [INFO] [TRAIN] epoch: 380, iter: 141210/160000, loss: 0.0562, lr: 0.000007, batch_cost: 1.2350, reader_cost: 0.00022, ips: 1.6194 samples/sec | ETA 06:26:46 2021-08-23 15:03:46 [INFO] [TRAIN] epoch: 380, iter: 141220/160000, loss: 0.0548, lr: 0.000007, batch_cost: 1.2224, reader_cost: 0.00021, ips: 1.6361 samples/sec | ETA 06:22:36 2021-08-23 15:03:59 [INFO] [TRAIN] epoch: 380, iter: 141230/160000, loss: 0.0442, lr: 0.000007, batch_cost: 1.2416, reader_cost: 0.00023, ips: 1.6108 samples/sec | ETA 06:28:24 2021-08-23 15:04:11 [INFO] [TRAIN] epoch: 380, iter: 141240/160000, loss: 0.0451, lr: 0.000007, batch_cost: 1.2256, reader_cost: 0.00022, ips: 1.6318 samples/sec | ETA 06:23:13 2021-08-23 15:04:23 [INFO] [TRAIN] epoch: 380, iter: 141250/160000, loss: 0.0466, lr: 0.000007, batch_cost: 1.2252, reader_cost: 0.00021, ips: 1.6323 samples/sec | ETA 06:22:53 2021-08-23 15:04:35 [INFO] [TRAIN] epoch: 380, iter: 141260/160000, loss: 0.0517, lr: 0.000007, batch_cost: 1.2034, reader_cost: 0.00020, ips: 1.6620 samples/sec | ETA 06:15:51 2021-08-23 15:04:47 [INFO] [TRAIN] epoch: 380, iter: 141270/160000, loss: 0.0418, lr: 0.000007, batch_cost: 1.2133, reader_cost: 0.00020, ips: 1.6483 samples/sec | ETA 06:18:45 2021-08-23 15:05:00 [INFO] [TRAIN] epoch: 380, iter: 141280/160000, loss: 0.0483, lr: 0.000007, batch_cost: 1.2376, reader_cost: 0.00021, ips: 1.6160 samples/sec | ETA 06:26:08 2021-08-23 15:05:12 [INFO] [TRAIN] epoch: 380, iter: 141290/160000, loss: 0.0445, lr: 0.000007, batch_cost: 1.2274, reader_cost: 0.00021, ips: 1.6295 samples/sec | ETA 06:22:44 2021-08-23 15:05:24 [INFO] [TRAIN] epoch: 380, iter: 141300/160000, loss: 0.0529, lr: 0.000007, batch_cost: 1.2247, reader_cost: 0.00021, ips: 1.6330 samples/sec | ETA 06:21:42 2021-08-23 15:05:36 [INFO] [TRAIN] epoch: 380, iter: 141310/160000, loss: 0.0520, lr: 0.000007, batch_cost: 1.2176, reader_cost: 0.00021, ips: 1.6426 samples/sec | ETA 06:19:16 2021-08-23 15:05:49 [INFO] [TRAIN] epoch: 380, iter: 141320/160000, loss: 0.0530, lr: 0.000007, batch_cost: 1.2173, reader_cost: 0.00021, ips: 1.6430 samples/sec | ETA 06:18:58 2021-08-23 15:06:01 [INFO] [TRAIN] epoch: 380, iter: 141330/160000, loss: 0.0488, lr: 0.000007, batch_cost: 1.2300, reader_cost: 0.00020, ips: 1.6260 samples/sec | ETA 06:22:44 2021-08-23 15:06:13 [INFO] [TRAIN] epoch: 380, iter: 141340/160000, loss: 0.0468, lr: 0.000007, batch_cost: 1.2169, reader_cost: 0.00022, ips: 1.6435 samples/sec | ETA 06:18:27 2021-08-23 15:06:25 [INFO] [TRAIN] epoch: 380, iter: 141350/160000, loss: 0.0533, lr: 0.000007, batch_cost: 1.2075, reader_cost: 0.00020, ips: 1.6563 samples/sec | ETA 06:15:20 2021-08-23 15:06:37 [INFO] [TRAIN] epoch: 380, iter: 141360/160000, loss: 0.0452, lr: 0.000007, batch_cost: 1.2003, reader_cost: 0.00015, ips: 1.6662 samples/sec | ETA 06:12:54 2021-08-23 15:06:52 [INFO] [TRAIN] epoch: 381, iter: 141370/160000, loss: 0.0447, lr: 0.000007, batch_cost: 1.5201, reader_cost: 0.19961, ips: 1.3157 samples/sec | ETA 07:51:59 2021-08-23 15:07:05 [INFO] [TRAIN] epoch: 381, iter: 141380/160000, loss: 0.0444, lr: 0.000007, batch_cost: 1.2226, reader_cost: 0.00080, ips: 1.6358 samples/sec | ETA 06:19:25 2021-08-23 15:07:17 [INFO] [TRAIN] epoch: 381, iter: 141390/160000, loss: 0.0443, lr: 0.000007, batch_cost: 1.2229, reader_cost: 0.00021, ips: 1.6354 samples/sec | ETA 06:19:18 2021-08-23 15:07:29 [INFO] [TRAIN] epoch: 381, iter: 141400/160000, loss: 0.0554, lr: 0.000007, batch_cost: 1.2351, reader_cost: 0.00024, ips: 1.6193 samples/sec | ETA 06:22:52 2021-08-23 15:07:41 [INFO] [TRAIN] epoch: 381, iter: 141410/160000, loss: 0.0466, lr: 0.000007, batch_cost: 1.2261, reader_cost: 0.00022, ips: 1.6312 samples/sec | ETA 06:19:52 2021-08-23 15:07:54 [INFO] [TRAIN] epoch: 381, iter: 141420/160000, loss: 0.0512, lr: 0.000007, batch_cost: 1.2226, reader_cost: 0.00025, ips: 1.6358 samples/sec | ETA 06:18:36 2021-08-23 15:08:06 [INFO] [TRAIN] epoch: 381, iter: 141430/160000, loss: 0.0541, lr: 0.000007, batch_cost: 1.2320, reader_cost: 0.00025, ips: 1.6234 samples/sec | ETA 06:21:17 2021-08-23 15:08:18 [INFO] [TRAIN] epoch: 381, iter: 141440/160000, loss: 0.0458, lr: 0.000007, batch_cost: 1.2317, reader_cost: 0.00024, ips: 1.6237 samples/sec | ETA 06:21:00 2021-08-23 15:08:31 [INFO] [TRAIN] epoch: 381, iter: 141450/160000, loss: 0.0445, lr: 0.000007, batch_cost: 1.2259, reader_cost: 0.00022, ips: 1.6315 samples/sec | ETA 06:18:59 2021-08-23 15:08:43 [INFO] [TRAIN] epoch: 381, iter: 141460/160000, loss: 0.0589, lr: 0.000007, batch_cost: 1.2283, reader_cost: 0.00023, ips: 1.6282 samples/sec | ETA 06:19:33 2021-08-23 15:08:55 [INFO] [TRAIN] epoch: 381, iter: 141470/160000, loss: 0.0511, lr: 0.000007, batch_cost: 1.2285, reader_cost: 0.00023, ips: 1.6280 samples/sec | ETA 06:19:24 2021-08-23 15:09:08 [INFO] [TRAIN] epoch: 381, iter: 141480/160000, loss: 0.0494, lr: 0.000007, batch_cost: 1.2430, reader_cost: 0.00022, ips: 1.6091 samples/sec | ETA 06:23:39 2021-08-23 15:09:20 [INFO] [TRAIN] epoch: 381, iter: 141490/160000, loss: 0.0518, lr: 0.000007, batch_cost: 1.2231, reader_cost: 0.00021, ips: 1.6351 samples/sec | ETA 06:17:20 2021-08-23 15:09:32 [INFO] [TRAIN] epoch: 381, iter: 141500/160000, loss: 0.0559, lr: 0.000007, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6360 samples/sec | ETA 06:16:55 2021-08-23 15:09:44 [INFO] [TRAIN] epoch: 381, iter: 141510/160000, loss: 0.0394, lr: 0.000007, batch_cost: 1.2291, reader_cost: 0.00024, ips: 1.6272 samples/sec | ETA 06:18:46 2021-08-23 15:09:56 [INFO] [TRAIN] epoch: 381, iter: 141520/160000, loss: 0.0513, lr: 0.000007, batch_cost: 1.2160, reader_cost: 0.00023, ips: 1.6448 samples/sec | ETA 06:14:31 2021-08-23 15:10:09 [INFO] [TRAIN] epoch: 381, iter: 141530/160000, loss: 0.0621, lr: 0.000007, batch_cost: 1.2120, reader_cost: 0.00022, ips: 1.6502 samples/sec | ETA 06:13:05 2021-08-23 15:10:21 [INFO] [TRAIN] epoch: 381, iter: 141540/160000, loss: 0.0527, lr: 0.000007, batch_cost: 1.2342, reader_cost: 0.00024, ips: 1.6204 samples/sec | ETA 06:19:43 2021-08-23 15:10:33 [INFO] [TRAIN] epoch: 381, iter: 141550/160000, loss: 0.0530, lr: 0.000007, batch_cost: 1.2393, reader_cost: 0.00022, ips: 1.6138 samples/sec | ETA 06:21:04 2021-08-23 15:10:45 [INFO] [TRAIN] epoch: 381, iter: 141560/160000, loss: 0.0510, lr: 0.000007, batch_cost: 1.2186, reader_cost: 0.00022, ips: 1.6413 samples/sec | ETA 06:14:30 2021-08-23 15:10:58 [INFO] [TRAIN] epoch: 381, iter: 141570/160000, loss: 0.0413, lr: 0.000007, batch_cost: 1.2206, reader_cost: 0.00021, ips: 1.6386 samples/sec | ETA 06:14:55 2021-08-23 15:11:10 [INFO] [TRAIN] epoch: 381, iter: 141580/160000, loss: 0.0467, lr: 0.000007, batch_cost: 1.2680, reader_cost: 0.00026, ips: 1.5773 samples/sec | ETA 06:29:16 2021-08-23 15:11:23 [INFO] [TRAIN] epoch: 381, iter: 141590/160000, loss: 0.0483, lr: 0.000007, batch_cost: 1.2408, reader_cost: 0.00022, ips: 1.6119 samples/sec | ETA 06:20:42 2021-08-23 15:11:35 [INFO] [TRAIN] epoch: 381, iter: 141600/160000, loss: 0.0447, lr: 0.000007, batch_cost: 1.2172, reader_cost: 0.00021, ips: 1.6431 samples/sec | ETA 06:13:17 2021-08-23 15:11:47 [INFO] [TRAIN] epoch: 381, iter: 141610/160000, loss: 0.0589, lr: 0.000007, batch_cost: 1.2290, reader_cost: 0.00023, ips: 1.6273 samples/sec | ETA 06:16:41 2021-08-23 15:12:00 [INFO] [TRAIN] epoch: 381, iter: 141620/160000, loss: 0.0474, lr: 0.000007, batch_cost: 1.2375, reader_cost: 0.00024, ips: 1.6161 samples/sec | ETA 06:19:06 2021-08-23 15:12:12 [INFO] [TRAIN] epoch: 381, iter: 141630/160000, loss: 0.0467, lr: 0.000007, batch_cost: 1.2415, reader_cost: 0.00022, ips: 1.6110 samples/sec | ETA 06:20:05 2021-08-23 15:12:24 [INFO] [TRAIN] epoch: 381, iter: 141640/160000, loss: 0.0545, lr: 0.000007, batch_cost: 1.2377, reader_cost: 0.00024, ips: 1.6160 samples/sec | ETA 06:18:43 2021-08-23 15:12:37 [INFO] [TRAIN] epoch: 381, iter: 141650/160000, loss: 0.0445, lr: 0.000007, batch_cost: 1.2165, reader_cost: 0.00023, ips: 1.6440 samples/sec | ETA 06:12:03 2021-08-23 15:12:49 [INFO] [TRAIN] epoch: 381, iter: 141660/160000, loss: 0.0423, lr: 0.000007, batch_cost: 1.2192, reader_cost: 0.00021, ips: 1.6404 samples/sec | ETA 06:12:40 2021-08-23 15:13:01 [INFO] [TRAIN] epoch: 381, iter: 141670/160000, loss: 0.0381, lr: 0.000007, batch_cost: 1.2335, reader_cost: 0.00022, ips: 1.6214 samples/sec | ETA 06:16:50 2021-08-23 15:13:14 [INFO] [TRAIN] epoch: 381, iter: 141680/160000, loss: 0.0428, lr: 0.000007, batch_cost: 1.2532, reader_cost: 0.00022, ips: 1.5960 samples/sec | ETA 06:22:38 2021-08-23 15:13:26 [INFO] [TRAIN] epoch: 381, iter: 141690/160000, loss: 0.0439, lr: 0.000007, batch_cost: 1.2197, reader_cost: 0.00021, ips: 1.6398 samples/sec | ETA 06:12:11 2021-08-23 15:13:38 [INFO] [TRAIN] epoch: 381, iter: 141700/160000, loss: 0.0516, lr: 0.000007, batch_cost: 1.2161, reader_cost: 0.00023, ips: 1.6446 samples/sec | ETA 06:10:55 2021-08-23 15:13:50 [INFO] [TRAIN] epoch: 381, iter: 141710/160000, loss: 0.0528, lr: 0.000007, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6321 samples/sec | ETA 06:13:32 2021-08-23 15:14:03 [INFO] [TRAIN] epoch: 381, iter: 141720/160000, loss: 0.0479, lr: 0.000007, batch_cost: 1.2359, reader_cost: 0.00023, ips: 1.6183 samples/sec | ETA 06:16:31 2021-08-23 15:14:14 [INFO] [TRAIN] epoch: 381, iter: 141730/160000, loss: 0.0478, lr: 0.000007, batch_cost: 1.1841, reader_cost: 0.00016, ips: 1.6890 samples/sec | ETA 06:00:33 2021-08-23 15:14:29 [INFO] [TRAIN] epoch: 382, iter: 141740/160000, loss: 0.0580, lr: 0.000007, batch_cost: 1.4748, reader_cost: 0.20652, ips: 1.3561 samples/sec | ETA 07:28:50 2021-08-23 15:14:41 [INFO] [TRAIN] epoch: 382, iter: 141750/160000, loss: 0.0447, lr: 0.000007, batch_cost: 1.2285, reader_cost: 0.00078, ips: 1.6280 samples/sec | ETA 06:13:40 2021-08-23 15:14:54 [INFO] [TRAIN] epoch: 382, iter: 141760/160000, loss: 0.0499, lr: 0.000007, batch_cost: 1.2197, reader_cost: 0.00021, ips: 1.6397 samples/sec | ETA 06:10:47 2021-08-23 15:15:06 [INFO] [TRAIN] epoch: 382, iter: 141770/160000, loss: 0.0475, lr: 0.000007, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6370 samples/sec | ETA 06:11:12 2021-08-23 15:15:18 [INFO] [TRAIN] epoch: 382, iter: 141780/160000, loss: 0.0408, lr: 0.000007, batch_cost: 1.2294, reader_cost: 0.00022, ips: 1.6268 samples/sec | ETA 06:13:19 2021-08-23 15:15:30 [INFO] [TRAIN] epoch: 382, iter: 141790/160000, loss: 0.0510, lr: 0.000007, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6332 samples/sec | ETA 06:11:39 2021-08-23 15:15:43 [INFO] [TRAIN] epoch: 382, iter: 141800/160000, loss: 0.0571, lr: 0.000007, batch_cost: 1.2275, reader_cost: 0.00023, ips: 1.6293 samples/sec | ETA 06:12:20 2021-08-23 15:15:55 [INFO] [TRAIN] epoch: 382, iter: 141810/160000, loss: 0.0509, lr: 0.000007, batch_cost: 1.2369, reader_cost: 0.00025, ips: 1.6170 samples/sec | ETA 06:14:58 2021-08-23 15:16:07 [INFO] [TRAIN] epoch: 382, iter: 141820/160000, loss: 0.0489, lr: 0.000007, batch_cost: 1.2401, reader_cost: 0.00025, ips: 1.6128 samples/sec | ETA 06:15:44 2021-08-23 15:16:20 [INFO] [TRAIN] epoch: 382, iter: 141830/160000, loss: 0.0548, lr: 0.000007, batch_cost: 1.2434, reader_cost: 0.00025, ips: 1.6084 samples/sec | ETA 06:16:33 2021-08-23 15:16:32 [INFO] [TRAIN] epoch: 382, iter: 141840/160000, loss: 0.0486, lr: 0.000007, batch_cost: 1.2405, reader_cost: 0.00025, ips: 1.6123 samples/sec | ETA 06:15:26 2021-08-23 15:16:45 [INFO] [TRAIN] epoch: 382, iter: 141850/160000, loss: 0.0549, lr: 0.000007, batch_cost: 1.2294, reader_cost: 0.00026, ips: 1.6268 samples/sec | ETA 06:11:53 2021-08-23 15:16:57 [INFO] [TRAIN] epoch: 382, iter: 141860/160000, loss: 0.0416, lr: 0.000007, batch_cost: 1.2353, reader_cost: 0.00025, ips: 1.6190 samples/sec | ETA 06:13:28 2021-08-23 15:17:09 [INFO] [TRAIN] epoch: 382, iter: 141870/160000, loss: 0.0573, lr: 0.000007, batch_cost: 1.2188, reader_cost: 0.00022, ips: 1.6410 samples/sec | ETA 06:08:15 2021-08-23 15:17:21 [INFO] [TRAIN] epoch: 382, iter: 141880/160000, loss: 0.0451, lr: 0.000007, batch_cost: 1.2242, reader_cost: 0.00021, ips: 1.6337 samples/sec | ETA 06:09:42 2021-08-23 15:17:34 [INFO] [TRAIN] epoch: 382, iter: 141890/160000, loss: 0.0491, lr: 0.000007, batch_cost: 1.2456, reader_cost: 0.00021, ips: 1.6056 samples/sec | ETA 06:15:58 2021-08-23 15:17:46 [INFO] [TRAIN] epoch: 382, iter: 141900/160000, loss: 0.0435, lr: 0.000007, batch_cost: 1.2327, reader_cost: 0.00022, ips: 1.6225 samples/sec | ETA 06:11:51 2021-08-23 15:17:59 [INFO] [TRAIN] epoch: 382, iter: 141910/160000, loss: 0.0510, lr: 0.000007, batch_cost: 1.2384, reader_cost: 0.00024, ips: 1.6150 samples/sec | ETA 06:13:22 2021-08-23 15:18:11 [INFO] [TRAIN] epoch: 382, iter: 141920/160000, loss: 0.0502, lr: 0.000007, batch_cost: 1.2300, reader_cost: 0.00022, ips: 1.6261 samples/sec | ETA 06:10:37 2021-08-23 15:18:23 [INFO] [TRAIN] epoch: 382, iter: 141930/160000, loss: 0.0409, lr: 0.000007, batch_cost: 1.2109, reader_cost: 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loss: 0.0515, lr: 0.000007, batch_cost: 1.2380, reader_cost: 0.00022, ips: 1.6155 samples/sec | ETA 06:11:36 2021-08-23 15:19:49 [INFO] [TRAIN] epoch: 382, iter: 142000/160000, loss: 0.0405, lr: 0.000007, batch_cost: 1.2236, reader_cost: 0.00021, ips: 1.6346 samples/sec | ETA 06:07:04 2021-08-23 15:20:02 [INFO] [TRAIN] epoch: 382, iter: 142010/160000, loss: 0.0438, lr: 0.000007, batch_cost: 1.2556, reader_cost: 0.00026, ips: 1.5929 samples/sec | ETA 06:16:27 2021-08-23 15:20:14 [INFO] [TRAIN] epoch: 382, iter: 142020/160000, loss: 0.0546, lr: 0.000007, batch_cost: 1.2433, reader_cost: 0.00026, ips: 1.6087 samples/sec | ETA 06:12:33 2021-08-23 15:20:27 [INFO] [TRAIN] epoch: 382, iter: 142030/160000, loss: 0.0495, lr: 0.000007, batch_cost: 1.2465, reader_cost: 0.00026, ips: 1.6045 samples/sec | ETA 06:13:18 2021-08-23 15:20:39 [INFO] [TRAIN] epoch: 382, iter: 142040/160000, loss: 0.0519, lr: 0.000007, batch_cost: 1.2274, reader_cost: 0.00022, ips: 1.6295 samples/sec | ETA 06:07:24 2021-08-23 15:20:51 [INFO] [TRAIN] epoch: 382, iter: 142050/160000, loss: 0.0411, lr: 0.000007, batch_cost: 1.2191, reader_cost: 0.00022, ips: 1.6405 samples/sec | ETA 06:04:43 2021-08-23 15:21:04 [INFO] [TRAIN] epoch: 382, iter: 142060/160000, loss: 0.0494, lr: 0.000007, batch_cost: 1.2459, reader_cost: 0.00021, ips: 1.6052 samples/sec | ETA 06:12:32 2021-08-23 15:21:16 [INFO] [TRAIN] epoch: 382, iter: 142070/160000, loss: 0.0622, lr: 0.000007, batch_cost: 1.2281, reader_cost: 0.00019, ips: 1.6286 samples/sec | ETA 06:06:59 2021-08-23 15:21:28 [INFO] [TRAIN] epoch: 382, iter: 142080/160000, loss: 0.0546, lr: 0.000007, batch_cost: 1.2290, reader_cost: 0.00020, ips: 1.6274 samples/sec | ETA 06:07:03 2021-08-23 15:21:40 [INFO] [TRAIN] epoch: 382, iter: 142090/160000, loss: 0.0461, lr: 0.000007, batch_cost: 1.2391, reader_cost: 0.00021, ips: 1.6141 samples/sec | ETA 06:09:52 2021-08-23 15:21:52 [INFO] [TRAIN] epoch: 382, iter: 142100/160000, loss: 0.0532, lr: 0.000007, batch_cost: 1.1844, reader_cost: 0.00017, ips: 1.6886 samples/sec | ETA 05:53:20 2021-08-23 15:22:07 [INFO] [TRAIN] epoch: 383, iter: 142110/160000, loss: 0.0463, lr: 0.000007, batch_cost: 1.4768, reader_cost: 0.21085, ips: 1.3543 samples/sec | ETA 07:20:20 2021-08-23 15:22:19 [INFO] [TRAIN] epoch: 383, iter: 142120/160000, loss: 0.0529, lr: 0.000007, batch_cost: 1.2404, reader_cost: 0.00076, ips: 1.6123 samples/sec | ETA 06:09:39 2021-08-23 15:22:32 [INFO] [TRAIN] epoch: 383, iter: 142130/160000, loss: 0.0459, lr: 0.000007, batch_cost: 1.2488, reader_cost: 0.00021, ips: 1.6016 samples/sec | ETA 06:11:55 2021-08-23 15:22:44 [INFO] [TRAIN] epoch: 383, iter: 142140/160000, loss: 0.0458, lr: 0.000007, batch_cost: 1.2333, reader_cost: 0.00021, ips: 1.6216 samples/sec | ETA 06:07:07 2021-08-23 15:22:57 [INFO] [TRAIN] epoch: 383, iter: 142150/160000, loss: 0.0478, lr: 0.000007, batch_cost: 1.2398, reader_cost: 0.00021, ips: 1.6132 samples/sec | ETA 06:08:50 2021-08-23 15:23:09 [INFO] [TRAIN] epoch: 383, iter: 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06:06:28 2021-08-23 15:24:23 [INFO] [TRAIN] epoch: 383, iter: 142220/160000, loss: 0.0454, lr: 0.000007, batch_cost: 1.2457, reader_cost: 0.00021, ips: 1.6055 samples/sec | ETA 06:09:08 2021-08-23 15:24:36 [INFO] [TRAIN] epoch: 383, iter: 142230/160000, loss: 0.0376, lr: 0.000007, batch_cost: 1.2388, reader_cost: 0.00024, ips: 1.6144 samples/sec | ETA 06:06:54 2021-08-23 15:24:48 [INFO] [TRAIN] epoch: 383, iter: 142240/160000, loss: 0.0479, lr: 0.000007, batch_cost: 1.2302, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 06:04:08 2021-08-23 15:25:00 [INFO] [TRAIN] epoch: 383, iter: 142250/160000, loss: 0.0551, lr: 0.000007, batch_cost: 1.2275, reader_cost: 0.00023, ips: 1.6293 samples/sec | ETA 06:03:08 2021-08-23 15:25:13 [INFO] [TRAIN] epoch: 383, iter: 142260/160000, loss: 0.0548, lr: 0.000007, batch_cost: 1.2279, reader_cost: 0.00022, ips: 1.6288 samples/sec | ETA 06:03:02 2021-08-23 15:25:25 [INFO] [TRAIN] epoch: 383, iter: 142270/160000, loss: 0.0513, lr: 0.000007, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6317 samples/sec | ETA 06:02:12 2021-08-23 15:25:37 [INFO] [TRAIN] epoch: 383, iter: 142280/160000, loss: 0.0491, lr: 0.000007, batch_cost: 1.2380, reader_cost: 0.00022, ips: 1.6155 samples/sec | ETA 06:05:37 2021-08-23 15:25:50 [INFO] [TRAIN] epoch: 383, iter: 142290/160000, loss: 0.0557, lr: 0.000007, batch_cost: 1.2286, reader_cost: 0.00021, ips: 1.6279 samples/sec | ETA 06:02:38 2021-08-23 15:26:02 [INFO] [TRAIN] epoch: 383, iter: 142300/160000, loss: 0.0447, lr: 0.000007, batch_cost: 1.2551, reader_cost: 0.00023, ips: 1.5935 samples/sec | ETA 06:10:14 2021-08-23 15:26:14 [INFO] [TRAIN] epoch: 383, iter: 142310/160000, loss: 0.0451, lr: 0.000007, batch_cost: 1.2268, reader_cost: 0.00021, ips: 1.6303 samples/sec | ETA 06:01:41 2021-08-23 15:26:27 [INFO] [TRAIN] epoch: 383, iter: 142320/160000, loss: 0.0473, lr: 0.000007, batch_cost: 1.2295, reader_cost: 0.00074, ips: 1.6266 samples/sec | ETA 06:02:18 2021-08-23 15:26:39 [INFO] [TRAIN] epoch: 383, iter: 142330/160000, loss: 0.0640, lr: 0.000007, batch_cost: 1.2300, reader_cost: 0.00023, ips: 1.6260 samples/sec | ETA 06:02:13 2021-08-23 15:26:51 [INFO] [TRAIN] epoch: 383, iter: 142340/160000, loss: 0.0470, lr: 0.000007, batch_cost: 1.2262, reader_cost: 0.00021, ips: 1.6310 samples/sec | ETA 06:00:54 2021-08-23 15:27:04 [INFO] [TRAIN] epoch: 383, iter: 142350/160000, loss: 0.0443, lr: 0.000007, batch_cost: 1.2399, reader_cost: 0.00023, ips: 1.6130 samples/sec | ETA 06:04:44 2021-08-23 15:27:16 [INFO] [TRAIN] epoch: 383, iter: 142360/160000, loss: 0.0491, lr: 0.000007, batch_cost: 1.2447, reader_cost: 0.00022, ips: 1.6068 samples/sec | ETA 06:05:57 2021-08-23 15:27:28 [INFO] [TRAIN] epoch: 383, iter: 142370/160000, loss: 0.0354, lr: 0.000007, batch_cost: 1.2354, reader_cost: 0.00021, ips: 1.6190 samples/sec | ETA 06:02:59 2021-08-23 15:27:41 [INFO] [TRAIN] epoch: 383, iter: 142380/160000, loss: 0.0512, lr: 0.000007, batch_cost: 1.2322, reader_cost: 0.00022, ips: 1.6231 samples/sec | ETA 06:01:51 2021-08-23 15:27:53 [INFO] [TRAIN] epoch: 383, iter: 142390/160000, loss: 0.0443, lr: 0.000007, batch_cost: 1.2375, reader_cost: 0.00023, ips: 1.6162 samples/sec | ETA 06:03:11 2021-08-23 15:28:06 [INFO] [TRAIN] epoch: 383, iter: 142400/160000, loss: 0.0489, lr: 0.000007, batch_cost: 1.2519, reader_cost: 0.00022, ips: 1.5975 samples/sec | ETA 06:07:13 2021-08-23 15:28:18 [INFO] [TRAIN] epoch: 383, iter: 142410/160000, loss: 0.0512, lr: 0.000007, batch_cost: 1.2319, reader_cost: 0.00021, ips: 1.6234 samples/sec | ETA 06:01:09 2021-08-23 15:28:30 [INFO] [TRAIN] epoch: 383, iter: 142420/160000, loss: 0.0525, lr: 0.000007, batch_cost: 1.2193, reader_cost: 0.00022, ips: 1.6403 samples/sec | ETA 05:57:15 2021-08-23 15:28:42 [INFO] [TRAIN] epoch: 383, iter: 142430/160000, loss: 0.0476, lr: 0.000007, batch_cost: 1.2197, reader_cost: 0.00022, ips: 1.6398 samples/sec | ETA 05:57:10 2021-08-23 15:28:55 [INFO] [TRAIN] epoch: 383, iter: 142440/160000, loss: 0.0461, lr: 0.000007, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 05:56:36 2021-08-23 15:29:07 [INFO] [TRAIN] epoch: 383, iter: 142450/160000, loss: 0.0525, lr: 0.000007, batch_cost: 1.2210, reader_cost: 0.00023, ips: 1.6380 samples/sec | ETA 05:57:09 2021-08-23 15:29:19 [INFO] [TRAIN] epoch: 383, iter: 142460/160000, loss: 0.0499, lr: 0.000007, batch_cost: 1.2219, reader_cost: 0.00021, ips: 1.6368 samples/sec | ETA 05:57:11 2021-08-23 15:29:31 [INFO] [TRAIN] epoch: 383, iter: 142470/160000, loss: 0.0486, lr: 0.000007, batch_cost: 1.2069, reader_cost: 0.00019, ips: 1.6571 samples/sec | ETA 05:52:37 2021-08-23 15:29:46 [INFO] [TRAIN] epoch: 384, iter: 142480/160000, loss: 0.0455, lr: 0.000007, batch_cost: 1.4558, reader_cost: 0.20688, ips: 1.3738 samples/sec | ETA 07:05:05 2021-08-23 15:29:58 [INFO] [TRAIN] epoch: 384, iter: 142490/160000, loss: 0.0451, lr: 0.000007, batch_cost: 1.2211, reader_cost: 0.00082, ips: 1.6379 samples/sec | ETA 05:56:20 2021-08-23 15:30:10 [INFO] [TRAIN] epoch: 384, iter: 142500/160000, loss: 0.0497, lr: 0.000007, batch_cost: 1.2184, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 05:55:22 2021-08-23 15:30:22 [INFO] [TRAIN] epoch: 384, iter: 142510/160000, loss: 0.0431, lr: 0.000007, batch_cost: 1.2255, reader_cost: 0.00022, ips: 1.6320 samples/sec | ETA 05:57:13 2021-08-23 15:30:35 [INFO] [TRAIN] epoch: 384, iter: 142520/160000, loss: 0.0485, lr: 0.000007, batch_cost: 1.2440, reader_cost: 0.00022, ips: 1.6078 samples/sec | ETA 06:02:24 2021-08-23 15:30:47 [INFO] [TRAIN] epoch: 384, iter: 142530/160000, loss: 0.0477, lr: 0.000007, batch_cost: 1.2519, reader_cost: 0.00022, ips: 1.5976 samples/sec | ETA 06:04:29 2021-08-23 15:31:00 [INFO] [TRAIN] epoch: 384, iter: 142540/160000, loss: 0.0364, lr: 0.000007, batch_cost: 1.2330, reader_cost: 0.00021, ips: 1.6220 samples/sec | ETA 05:58:48 2021-08-23 15:31:12 [INFO] [TRAIN] epoch: 384, iter: 142550/160000, loss: 0.0516, lr: 0.000007, batch_cost: 1.2418, reader_cost: 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loss: 0.0551, lr: 0.000007, batch_cost: 1.2320, reader_cost: 0.00023, ips: 1.6233 samples/sec | ETA 05:57:05 2021-08-23 15:32:38 [INFO] [TRAIN] epoch: 384, iter: 142620/160000, loss: 0.0457, lr: 0.000007, batch_cost: 1.2244, reader_cost: 0.00023, ips: 1.6334 samples/sec | ETA 05:54:40 2021-08-23 15:32:50 [INFO] [TRAIN] epoch: 384, iter: 142630/160000, loss: 0.0667, lr: 0.000007, batch_cost: 1.2348, reader_cost: 0.00020, ips: 1.6197 samples/sec | ETA 05:57:27 2021-08-23 15:33:02 [INFO] [TRAIN] epoch: 384, iter: 142640/160000, loss: 0.0465, lr: 0.000007, batch_cost: 1.2365, reader_cost: 0.00022, ips: 1.6174 samples/sec | ETA 05:57:46 2021-08-23 15:33:15 [INFO] [TRAIN] epoch: 384, iter: 142650/160000, loss: 0.0565, lr: 0.000007, batch_cost: 1.2293, reader_cost: 0.00022, ips: 1.6270 samples/sec | ETA 05:55:27 2021-08-23 15:33:27 [INFO] [TRAIN] epoch: 384, iter: 142660/160000, loss: 0.0452, lr: 0.000007, batch_cost: 1.2158, reader_cost: 0.00022, ips: 1.6450 samples/sec | ETA 05:51:21 2021-08-23 15:33:39 [INFO] [TRAIN] epoch: 384, iter: 142670/160000, loss: 0.0472, lr: 0.000006, batch_cost: 1.2270, reader_cost: 0.00024, ips: 1.6300 samples/sec | ETA 05:54:23 2021-08-23 15:33:51 [INFO] [TRAIN] epoch: 384, iter: 142680/160000, loss: 0.0608, lr: 0.000006, batch_cost: 1.2167, reader_cost: 0.00022, ips: 1.6438 samples/sec | ETA 05:51:12 2021-08-23 15:34:03 [INFO] [TRAIN] epoch: 384, iter: 142690/160000, loss: 0.0461, lr: 0.000006, batch_cost: 1.2150, reader_cost: 0.00021, ips: 1.6460 samples/sec | ETA 05:50:32 2021-08-23 15:34:16 [INFO] [TRAIN] epoch: 384, iter: 142700/160000, loss: 0.0457, lr: 0.000006, batch_cost: 1.2423, reader_cost: 0.00023, ips: 1.6099 samples/sec | ETA 05:58:12 2021-08-23 15:34:28 [INFO] [TRAIN] epoch: 384, iter: 142710/160000, loss: 0.0506, lr: 0.000006, batch_cost: 1.2443, reader_cost: 0.00023, ips: 1.6074 samples/sec | ETA 05:58:33 2021-08-23 15:34:41 [INFO] [TRAIN] epoch: 384, iter: 142720/160000, loss: 0.0448, lr: 0.000006, batch_cost: 1.2377, 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142780/160000, loss: 0.0483, lr: 0.000006, batch_cost: 1.2112, reader_cost: 0.00023, ips: 1.6513 samples/sec | ETA 05:47:36 2021-08-23 15:36:06 [INFO] [TRAIN] epoch: 384, iter: 142790/160000, loss: 0.0580, lr: 0.000006, batch_cost: 1.2317, reader_cost: 0.00022, ips: 1.6238 samples/sec | ETA 05:53:17 2021-08-23 15:36:19 [INFO] [TRAIN] epoch: 384, iter: 142800/160000, loss: 0.0556, lr: 0.000006, batch_cost: 1.2181, reader_cost: 0.00023, ips: 1.6418 samples/sec | ETA 05:49:12 2021-08-23 15:36:31 [INFO] [TRAIN] epoch: 384, iter: 142810/160000, loss: 0.0495, lr: 0.000006, batch_cost: 1.2347, reader_cost: 0.00023, ips: 1.6198 samples/sec | ETA 05:53:44 2021-08-23 15:36:43 [INFO] [TRAIN] epoch: 384, iter: 142820/160000, loss: 0.0558, lr: 0.000006, batch_cost: 1.2435, reader_cost: 0.00028, ips: 1.6084 samples/sec | ETA 05:56:03 2021-08-23 15:36:56 [INFO] [TRAIN] epoch: 384, iter: 142830/160000, loss: 0.0540, lr: 0.000006, batch_cost: 1.2365, reader_cost: 0.00025, ips: 1.6175 samples/sec | ETA 05:53:50 2021-08-23 15:37:08 [INFO] [TRAIN] epoch: 384, iter: 142840/160000, loss: 0.0460, lr: 0.000006, batch_cost: 1.2317, reader_cost: 0.00025, ips: 1.6238 samples/sec | ETA 05:52:15 2021-08-23 15:37:23 [INFO] [TRAIN] epoch: 385, iter: 142850/160000, loss: 0.0503, lr: 0.000006, batch_cost: 1.4888, reader_cost: 0.22924, ips: 1.3433 samples/sec | ETA 07:05:33 2021-08-23 15:37:35 [INFO] [TRAIN] epoch: 385, iter: 142860/160000, loss: 0.0481, lr: 0.000006, batch_cost: 1.2206, reader_cost: 0.00083, ips: 1.6386 samples/sec | ETA 05:48:40 2021-08-23 15:37:47 [INFO] [TRAIN] epoch: 385, iter: 142870/160000, loss: 0.0410, lr: 0.000006, batch_cost: 1.2285, reader_cost: 0.00023, ips: 1.6280 samples/sec | ETA 05:50:43 2021-08-23 15:38:00 [INFO] [TRAIN] epoch: 385, iter: 142880/160000, loss: 0.0532, lr: 0.000006, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6351 samples/sec | ETA 05:49:01 2021-08-23 15:38:12 [INFO] [TRAIN] epoch: 385, iter: 142890/160000, loss: 0.0514, lr: 0.000006, batch_cost: 1.2504, reader_cost: 0.00021, ips: 1.5995 samples/sec | ETA 05:56:34 2021-08-23 15:38:24 [INFO] [TRAIN] epoch: 385, iter: 142900/160000, loss: 0.0501, lr: 0.000006, batch_cost: 1.2253, reader_cost: 0.00020, ips: 1.6323 samples/sec | ETA 05:49:12 2021-08-23 15:38:37 [INFO] [TRAIN] epoch: 385, iter: 142910/160000, loss: 0.0493, lr: 0.000006, batch_cost: 1.2216, reader_cost: 0.00020, ips: 1.6371 samples/sec | ETA 05:47:57 2021-08-23 15:38:49 [INFO] [TRAIN] epoch: 385, iter: 142920/160000, loss: 0.0587, lr: 0.000006, batch_cost: 1.2223, reader_cost: 0.00025, ips: 1.6363 samples/sec | ETA 05:47:56 2021-08-23 15:39:01 [INFO] [TRAIN] epoch: 385, iter: 142930/160000, loss: 0.0495, lr: 0.000006, batch_cost: 1.2178, reader_cost: 0.00023, ips: 1.6423 samples/sec | ETA 05:46:27 2021-08-23 15:39:13 [INFO] [TRAIN] epoch: 385, iter: 142940/160000, loss: 0.0480, lr: 0.000006, batch_cost: 1.2152, reader_cost: 0.00021, ips: 1.6458 samples/sec | ETA 05:45:32 2021-08-23 15:39:25 [INFO] [TRAIN] epoch: 385, iter: 142950/160000, loss: 0.0462, lr: 0.000006, batch_cost: 1.2254, reader_cost: 0.00021, ips: 1.6322 samples/sec | ETA 05:48:12 2021-08-23 15:39:38 [INFO] [TRAIN] epoch: 385, iter: 142960/160000, loss: 0.0476, lr: 0.000006, batch_cost: 1.2159, reader_cost: 0.00023, ips: 1.6449 samples/sec | ETA 05:45:18 2021-08-23 15:39:50 [INFO] [TRAIN] epoch: 385, iter: 142970/160000, loss: 0.0438, lr: 0.000006, batch_cost: 1.2462, reader_cost: 0.00022, ips: 1.6049 samples/sec | ETA 05:53:42 2021-08-23 15:40:02 [INFO] [TRAIN] epoch: 385, iter: 142980/160000, loss: 0.0428, lr: 0.000006, batch_cost: 1.2280, reader_cost: 0.00021, ips: 1.6287 samples/sec | ETA 05:48:19 2021-08-23 15:40:15 [INFO] [TRAIN] epoch: 385, iter: 142990/160000, loss: 0.0637, lr: 0.000006, batch_cost: 1.2330, reader_cost: 0.00021, ips: 1.6221 samples/sec | ETA 05:49:33 2021-08-23 15:40:27 [INFO] [TRAIN] epoch: 385, iter: 143000/160000, loss: 0.0543, lr: 0.000006, batch_cost: 1.2169, reader_cost: 0.00022, ips: 1.6436 samples/sec | ETA 05:44:46 2021-08-23 15:40:39 [INFO] [TRAIN] epoch: 385, iter: 143010/160000, loss: 0.0470, lr: 0.000006, batch_cost: 1.2216, reader_cost: 0.00022, ips: 1.6372 samples/sec | ETA 05:45:55 2021-08-23 15:40:51 [INFO] [TRAIN] epoch: 385, iter: 143020/160000, loss: 0.0508, lr: 0.000006, batch_cost: 1.2313, reader_cost: 0.00023, ips: 1.6243 samples/sec | ETA 05:48:27 2021-08-23 15:41:04 [INFO] [TRAIN] epoch: 385, iter: 143030/160000, loss: 0.0491, lr: 0.000006, batch_cost: 1.2149, reader_cost: 0.00021, ips: 1.6463 samples/sec | ETA 05:43:36 2021-08-23 15:41:16 [INFO] [TRAIN] epoch: 385, iter: 143040/160000, loss: 0.0505, lr: 0.000006, batch_cost: 1.2306, reader_cost: 0.00021, ips: 1.6252 samples/sec | ETA 05:47:51 2021-08-23 15:41:28 [INFO] [TRAIN] epoch: 385, iter: 143050/160000, loss: 0.0504, lr: 0.000006, batch_cost: 1.2376, reader_cost: 0.00021, ips: 1.6160 samples/sec | ETA 05:49:37 2021-08-23 15:41:40 [INFO] [TRAIN] epoch: 385, iter: 143060/160000, loss: 0.0433, lr: 0.000006, batch_cost: 1.2197, reader_cost: 0.00021, ips: 1.6397 samples/sec | ETA 05:44:21 2021-08-23 15:41:53 [INFO] [TRAIN] epoch: 385, iter: 143070/160000, loss: 0.0466, lr: 0.000006, batch_cost: 1.2254, reader_cost: 0.00023, ips: 1.6321 samples/sec | ETA 05:45:45 2021-08-23 15:42:05 [INFO] [TRAIN] epoch: 385, iter: 143080/160000, loss: 0.0438, lr: 0.000006, batch_cost: 1.2261, reader_cost: 0.00021, ips: 1.6312 samples/sec | ETA 05:45:45 2021-08-23 15:42:17 [INFO] [TRAIN] epoch: 385, iter: 143090/160000, loss: 0.0504, lr: 0.000006, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6322 samples/sec | ETA 05:45:20 2021-08-23 15:42:29 [INFO] [TRAIN] epoch: 385, iter: 143100/160000, loss: 0.0504, lr: 0.000006, batch_cost: 1.2253, reader_cost: 0.00023, ips: 1.6322 samples/sec | ETA 05:45:08 2021-08-23 15:42:42 [INFO] [TRAIN] epoch: 385, iter: 143110/160000, loss: 0.0449, lr: 0.000006, batch_cost: 1.2246, reader_cost: 0.00021, ips: 1.6331 samples/sec | ETA 05:44:44 2021-08-23 15:42:54 [INFO] [TRAIN] epoch: 385, iter: 143120/160000, loss: 0.0423, lr: 0.000006, batch_cost: 1.2224, reader_cost: 0.00023, ips: 1.6361 samples/sec | ETA 05:43:54 2021-08-23 15:43:06 [INFO] [TRAIN] epoch: 385, iter: 143130/160000, loss: 0.0477, lr: 0.000006, batch_cost: 1.2157, reader_cost: 0.00023, ips: 1.6451 samples/sec | ETA 05:41:48 2021-08-23 15:43:18 [INFO] [TRAIN] epoch: 385, iter: 143140/160000, loss: 0.0507, lr: 0.000006, batch_cost: 1.2288, reader_cost: 0.00023, ips: 1.6276 samples/sec | ETA 05:45:17 2021-08-23 15:43:31 [INFO] [TRAIN] epoch: 385, iter: 143150/160000, loss: 0.0570, lr: 0.000006, batch_cost: 1.2268, reader_cost: 0.00021, ips: 1.6302 samples/sec | ETA 05:44:32 2021-08-23 15:43:43 [INFO] [TRAIN] epoch: 385, iter: 143160/160000, loss: 0.0491, lr: 0.000006, batch_cost: 1.2309, reader_cost: 0.00022, ips: 1.6248 samples/sec | ETA 05:45:28 2021-08-23 15:43:55 [INFO] [TRAIN] epoch: 385, iter: 143170/160000, loss: 0.0448, lr: 0.000006, batch_cost: 1.2131, reader_cost: 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loss: 0.0421, lr: 0.000006, batch_cost: 1.4843, reader_cost: 0.22600, ips: 1.3474 samples/sec | ETA 06:54:52 2021-08-23 15:45:23 [INFO] [TRAIN] epoch: 386, iter: 143240/160000, loss: 0.0456, lr: 0.000006, batch_cost: 1.2106, reader_cost: 0.00223, ips: 1.6520 samples/sec | ETA 05:38:10 2021-08-23 15:45:35 [INFO] [TRAIN] epoch: 386, iter: 143250/160000, loss: 0.0517, lr: 0.000006, batch_cost: 1.2335, reader_cost: 0.00021, ips: 1.6214 samples/sec | ETA 05:44:20 2021-08-23 15:45:47 [INFO] [TRAIN] epoch: 386, iter: 143260/160000, loss: 0.0495, lr: 0.000006, batch_cost: 1.2272, reader_cost: 0.00021, ips: 1.6297 samples/sec | ETA 05:42:23 2021-08-23 15:46:00 [INFO] [TRAIN] epoch: 386, iter: 143270/160000, loss: 0.0461, lr: 0.000006, batch_cost: 1.2288, reader_cost: 0.00024, ips: 1.6276 samples/sec | ETA 05:42:38 2021-08-23 15:46:12 [INFO] [TRAIN] epoch: 386, iter: 143280/160000, loss: 0.0430, lr: 0.000006, batch_cost: 1.2184, reader_cost: 0.00024, ips: 1.6415 samples/sec | ETA 05:39:31 2021-08-23 15:46:24 [INFO] [TRAIN] epoch: 386, iter: 143290/160000, loss: 0.0479, lr: 0.000006, batch_cost: 1.2149, reader_cost: 0.00024, ips: 1.6462 samples/sec | ETA 05:38:21 2021-08-23 15:46:36 [INFO] [TRAIN] epoch: 386, iter: 143300/160000, loss: 0.0483, lr: 0.000006, batch_cost: 1.2271, reader_cost: 0.00022, ips: 1.6298 samples/sec | ETA 05:41:33 2021-08-23 15:46:49 [INFO] [TRAIN] epoch: 386, iter: 143310/160000, loss: 0.0642, lr: 0.000006, batch_cost: 1.2391, reader_cost: 0.00024, ips: 1.6141 samples/sec | ETA 05:44:40 2021-08-23 15:47:01 [INFO] [TRAIN] epoch: 386, iter: 143320/160000, loss: 0.0428, lr: 0.000006, batch_cost: 1.2291, reader_cost: 0.00021, ips: 1.6272 samples/sec | ETA 05:41:41 2021-08-23 15:47:13 [INFO] [TRAIN] epoch: 386, iter: 143330/160000, loss: 0.0383, lr: 0.000006, batch_cost: 1.2320, reader_cost: 0.00023, ips: 1.6233 samples/sec | ETA 05:42:18 2021-08-23 15:47:25 [INFO] [TRAIN] epoch: 386, iter: 143340/160000, loss: 0.0474, lr: 0.000006, batch_cost: 1.2298, 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05:40:35 2021-08-23 15:49:52 [INFO] [TRAIN] epoch: 386, iter: 143460/160000, loss: 0.0445, lr: 0.000006, batch_cost: 1.2219, reader_cost: 0.00022, ips: 1.6369 samples/sec | ETA 05:36:49 2021-08-23 15:50:05 [INFO] [TRAIN] epoch: 386, iter: 143470/160000, loss: 0.0477, lr: 0.000006, batch_cost: 1.2351, reader_cost: 0.00023, ips: 1.6194 samples/sec | ETA 05:40:15 2021-08-23 15:50:17 [INFO] [TRAIN] epoch: 386, iter: 143480/160000, loss: 0.0581, lr: 0.000006, batch_cost: 1.2313, reader_cost: 0.00021, ips: 1.6243 samples/sec | ETA 05:39:00 2021-08-23 15:50:30 [INFO] [TRAIN] epoch: 386, iter: 143490/160000, loss: 0.0465, lr: 0.000006, batch_cost: 1.2414, reader_cost: 0.00022, ips: 1.6110 samples/sec | ETA 05:41:36 2021-08-23 15:50:42 [INFO] [TRAIN] epoch: 386, iter: 143500/160000, loss: 0.0508, lr: 0.000006, batch_cost: 1.2457, reader_cost: 0.00022, ips: 1.6055 samples/sec | ETA 05:42:34 2021-08-23 15:50:54 [INFO] [TRAIN] epoch: 386, iter: 143510/160000, loss: 0.0357, lr: 0.000006, batch_cost: 1.2209, reader_cost: 0.00022, ips: 1.6381 samples/sec | ETA 05:35:32 2021-08-23 15:51:06 [INFO] [TRAIN] epoch: 386, iter: 143520/160000, loss: 0.0447, lr: 0.000006, batch_cost: 1.2177, reader_cost: 0.00023, ips: 1.6425 samples/sec | ETA 05:34:27 2021-08-23 15:51:19 [INFO] [TRAIN] epoch: 386, iter: 143530/160000, loss: 0.0548, lr: 0.000006, batch_cost: 1.2183, reader_cost: 0.00020, ips: 1.6416 samples/sec | ETA 05:34:26 2021-08-23 15:51:31 [INFO] [TRAIN] epoch: 386, iter: 143540/160000, loss: 0.0395, lr: 0.000006, batch_cost: 1.2301, reader_cost: 0.00022, ips: 1.6258 samples/sec | ETA 05:37:27 2021-08-23 15:51:43 [INFO] [TRAIN] epoch: 386, iter: 143550/160000, loss: 0.0470, lr: 0.000006, batch_cost: 1.2294, reader_cost: 0.00023, ips: 1.6269 samples/sec | ETA 05:37:03 2021-08-23 15:51:55 [INFO] [TRAIN] epoch: 386, iter: 143560/160000, loss: 0.0534, lr: 0.000006, batch_cost: 1.2189, reader_cost: 0.00021, ips: 1.6409 samples/sec | ETA 05:33:58 2021-08-23 15:52:08 [INFO] [TRAIN] epoch: 386, iter: 143570/160000, loss: 0.0376, lr: 0.000006, batch_cost: 1.2231, reader_cost: 0.00020, ips: 1.6352 samples/sec | ETA 05:34:55 2021-08-23 15:52:20 [INFO] [TRAIN] epoch: 386, iter: 143580/160000, loss: 0.0423, lr: 0.000006, batch_cost: 1.2418, reader_cost: 0.00021, ips: 1.6106 samples/sec | ETA 05:39:50 2021-08-23 15:52:32 [INFO] [TRAIN] epoch: 386, iter: 143590/160000, loss: 0.0517, lr: 0.000006, batch_cost: 1.2048, reader_cost: 0.00015, ips: 1.6601 samples/sec | ETA 05:29:30 2021-08-23 15:52:47 [INFO] [TRAIN] epoch: 387, iter: 143600/160000, loss: 0.0555, lr: 0.000006, batch_cost: 1.5198, reader_cost: 0.22823, ips: 1.3160 samples/sec | ETA 06:55:24 2021-08-23 15:52:59 [INFO] [TRAIN] epoch: 387, iter: 143610/160000, loss: 0.0371, lr: 0.000006, batch_cost: 1.2188, reader_cost: 0.00075, ips: 1.6410 samples/sec | ETA 05:32:55 2021-08-23 15:53:12 [INFO] [TRAIN] epoch: 387, iter: 143620/160000, loss: 0.0488, lr: 0.000006, batch_cost: 1.2270, reader_cost: 0.00023, ips: 1.6301 samples/sec | ETA 05:34:57 2021-08-23 15:53:24 [INFO] [TRAIN] epoch: 387, iter: 143630/160000, loss: 0.0456, lr: 0.000006, batch_cost: 1.2219, reader_cost: 0.00023, ips: 1.6368 samples/sec | ETA 05:33:22 2021-08-23 15:53:36 [INFO] [TRAIN] epoch: 387, iter: 143640/160000, loss: 0.0543, lr: 0.000006, batch_cost: 1.2196, reader_cost: 0.00021, ips: 1.6399 samples/sec | ETA 05:32:31 2021-08-23 15:53:49 [INFO] [TRAIN] epoch: 387, iter: 143650/160000, loss: 0.0502, lr: 0.000006, batch_cost: 1.2421, reader_cost: 0.00022, ips: 1.6101 samples/sec | ETA 05:38:29 2021-08-23 15:54:01 [INFO] [TRAIN] epoch: 387, iter: 143660/160000, loss: 0.0474, lr: 0.000006, batch_cost: 1.2312, reader_cost: 0.00021, ips: 1.6244 samples/sec | ETA 05:35:17 2021-08-23 15:54:13 [INFO] [TRAIN] epoch: 387, iter: 143670/160000, loss: 0.0531, lr: 0.000006, batch_cost: 1.2276, reader_cost: 0.00021, ips: 1.6291 samples/sec | ETA 05:34:07 2021-08-23 15:54:25 [INFO] [TRAIN] epoch: 387, iter: 143680/160000, loss: 0.0503, lr: 0.000006, batch_cost: 1.2275, reader_cost: 0.00022, ips: 1.6293 samples/sec | ETA 05:33:52 2021-08-23 15:54:38 [INFO] [TRAIN] epoch: 387, iter: 143690/160000, loss: 0.0512, lr: 0.000006, batch_cost: 1.2316, reader_cost: 0.00022, ips: 1.6239 samples/sec | ETA 05:34:47 2021-08-23 15:54:50 [INFO] [TRAIN] epoch: 387, iter: 143700/160000, loss: 0.0460, lr: 0.000006, batch_cost: 1.2356, reader_cost: 0.00022, ips: 1.6187 samples/sec | ETA 05:35:39 2021-08-23 15:55:02 [INFO] [TRAIN] epoch: 387, iter: 143710/160000, loss: 0.0538, lr: 0.000006, batch_cost: 1.2373, reader_cost: 0.00022, ips: 1.6164 samples/sec | ETA 05:35:55 2021-08-23 15:55:15 [INFO] [TRAIN] epoch: 387, iter: 143720/160000, loss: 0.0526, lr: 0.000006, batch_cost: 1.2111, reader_cost: 0.00022, ips: 1.6514 samples/sec | ETA 05:28:36 2021-08-23 15:55:27 [INFO] [TRAIN] epoch: 387, iter: 143730/160000, loss: 0.0549, lr: 0.000006, batch_cost: 1.2114, reader_cost: 0.00022, ips: 1.6510 samples/sec | ETA 05:28:28 2021-08-23 15:55:39 [INFO] [TRAIN] epoch: 387, iter: 143740/160000, loss: 0.0383, lr: 0.000006, batch_cost: 1.2140, reader_cost: 0.00023, ips: 1.6475 samples/sec | ETA 05:28:59 2021-08-23 15:55:51 [INFO] [TRAIN] epoch: 387, iter: 143750/160000, loss: 0.0485, lr: 0.000006, batch_cost: 1.2314, reader_cost: 0.00021, ips: 1.6242 samples/sec | ETA 05:33:30 2021-08-23 15:56:03 [INFO] [TRAIN] epoch: 387, iter: 143760/160000, loss: 0.0428, lr: 0.000006, batch_cost: 1.2110, reader_cost: 0.00022, ips: 1.6515 samples/sec | ETA 05:27:47 2021-08-23 15:56:16 [INFO] [TRAIN] epoch: 387, iter: 143770/160000, loss: 0.0495, lr: 0.000006, batch_cost: 1.2471, reader_cost: 0.00024, ips: 1.6037 samples/sec | ETA 05:37:20 2021-08-23 15:56:28 [INFO] [TRAIN] epoch: 387, iter: 143780/160000, loss: 0.0500, lr: 0.000006, batch_cost: 1.2498, reader_cost: 0.00026, ips: 1.6002 samples/sec | ETA 05:37:52 2021-08-23 15:56:41 [INFO] [TRAIN] epoch: 387, iter: 143790/160000, loss: 0.0554, lr: 0.000006, batch_cost: 1.2389, reader_cost: 0.00024, ips: 1.6143 samples/sec | ETA 05:34:42 2021-08-23 15:56:53 [INFO] [TRAIN] epoch: 387, iter: 143800/160000, loss: 0.0360, lr: 0.000006, batch_cost: 1.2242, reader_cost: 0.00027, ips: 1.6338 samples/sec | ETA 05:30:31 2021-08-23 15:57:05 [INFO] [TRAIN] epoch: 387, iter: 143810/160000, loss: 0.0438, lr: 0.000006, batch_cost: 1.2466, reader_cost: 0.00027, ips: 1.6043 samples/sec | ETA 05:36:23 2021-08-23 15:57:18 [INFO] [TRAIN] epoch: 387, iter: 143820/160000, loss: 0.0519, lr: 0.000006, batch_cost: 1.2376, reader_cost: 0.00027, ips: 1.6160 samples/sec | ETA 05:33:45 2021-08-23 15:57:30 [INFO] [TRAIN] epoch: 387, iter: 143830/160000, loss: 0.0478, lr: 0.000006, batch_cost: 1.2227, reader_cost: 0.00023, ips: 1.6358 samples/sec | ETA 05:29:30 2021-08-23 15:57:42 [INFO] [TRAIN] epoch: 387, iter: 143840/160000, loss: 0.0431, lr: 0.000006, batch_cost: 1.2372, reader_cost: 0.00024, ips: 1.6166 samples/sec | ETA 05:33:13 2021-08-23 15:57:55 [INFO] [TRAIN] epoch: 387, iter: 143850/160000, loss: 0.0509, lr: 0.000006, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6340 samples/sec | ETA 05:29:27 2021-08-23 15:58:07 [INFO] [TRAIN] epoch: 387, iter: 143860/160000, loss: 0.0491, lr: 0.000006, batch_cost: 1.2191, reader_cost: 0.00021, ips: 1.6405 samples/sec | ETA 05:27:56 2021-08-23 15:58:19 [INFO] [TRAIN] epoch: 387, iter: 143870/160000, loss: 0.0435, lr: 0.000006, batch_cost: 1.2353, reader_cost: 0.00022, ips: 1.6191 samples/sec | ETA 05:32:04 2021-08-23 15:58:31 [INFO] [TRAIN] epoch: 387, iter: 143880/160000, loss: 0.0457, lr: 0.000006, batch_cost: 1.2093, reader_cost: 0.00021, ips: 1.6538 samples/sec | ETA 05:24:54 2021-08-23 15:58:43 [INFO] [TRAIN] epoch: 387, iter: 143890/160000, loss: 0.0450, lr: 0.000006, batch_cost: 1.2143, reader_cost: 0.00022, ips: 1.6470 samples/sec | ETA 05:26:02 2021-08-23 15:58:56 [INFO] [TRAIN] epoch: 387, iter: 143900/160000, loss: 0.0446, lr: 0.000006, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 05:28:36 2021-08-23 15:59:08 [INFO] [TRAIN] epoch: 387, iter: 143910/160000, loss: 0.0428, lr: 0.000006, batch_cost: 1.2077, reader_cost: 0.00021, ips: 1.6560 samples/sec | ETA 05:23:52 2021-08-23 15:59:20 [INFO] [TRAIN] epoch: 387, iter: 143920/160000, loss: 0.0451, lr: 0.000006, batch_cost: 1.2149, reader_cost: 0.00022, ips: 1.6463 samples/sec | ETA 05:25:35 2021-08-23 15:59:32 [INFO] [TRAIN] epoch: 387, iter: 143930/160000, loss: 0.0464, lr: 0.000006, batch_cost: 1.2253, reader_cost: 0.00021, ips: 1.6323 samples/sec | ETA 05:28:10 2021-08-23 15:59:44 [INFO] [TRAIN] epoch: 387, iter: 143940/160000, loss: 0.0462, lr: 0.000006, batch_cost: 1.2161, reader_cost: 0.00022, ips: 1.6446 samples/sec | ETA 05:25:31 2021-08-23 15:59:56 [INFO] [TRAIN] epoch: 387, iter: 143950/160000, loss: 0.0503, lr: 0.000006, batch_cost: 1.2202, reader_cost: 0.00021, ips: 1.6390 samples/sec | ETA 05:26:24 2021-08-23 16:00:08 [INFO] [TRAIN] epoch: 387, iter: 143960/160000, loss: 0.0501, lr: 0.000006, batch_cost: 1.1898, reader_cost: 0.00017, ips: 1.6809 samples/sec | ETA 05:18:04 2021-08-23 16:00:23 [INFO] [TRAIN] epoch: 388, iter: 143970/160000, loss: 0.0421, lr: 0.000006, batch_cost: 1.4895, reader_cost: 0.21383, ips: 1.3427 samples/sec | ETA 06:37:56 2021-08-23 16:00:35 [INFO] [TRAIN] epoch: 388, iter: 143980/160000, loss: 0.0465, lr: 0.000006, batch_cost: 1.2257, reader_cost: 0.00078, ips: 1.6318 samples/sec | ETA 05:27:15 2021-08-23 16:00:48 [INFO] [TRAIN] epoch: 388, iter: 143990/160000, loss: 0.0489, lr: 0.000006, batch_cost: 1.2137, reader_cost: 0.00022, ips: 1.6478 samples/sec | ETA 05:23:51 2021-08-23 16:01:00 [INFO] [TRAIN] epoch: 388, iter: 144000/160000, loss: 0.0402, lr: 0.000006, batch_cost: 1.2382, reader_cost: 0.00023, ips: 1.6153 samples/sec | ETA 05:30:10 2021-08-23 16:01:00 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 6:49 - batch_cost: 3.3047 - reader cost: 0.3916 2/125 [..............................] - ETA: 5:52 - batch_cost: 2.8666 - reader cost: 0.1959 3/125 [..............................] - ETA: 5:18 - batch_cost: 2.6136 - reader cost: 0.1307 4/125 [..............................] - ETA: 4:59 - batch_cost: 2.4780 - reader cost: 0.0981 5/125 [>.............................] - ETA: 4:47 - batch_cost: 2.3941 - reader cost: 0.0785 6/125 [>.............................] - ETA: 4:38 - batch_cost: 2.3411 - reader cost: 0.0654 7/125 [>.............................] - ETA: 4:33 - batch_cost: 2.3163 - reader cost: 0.0561 8/125 [>.............................] - ETA: 4:27 - batch_cost: 2.2884 - reader cost: 0.0491 9/125 [=>............................] - ETA: 4:23 - batch_cost: 2.2723 - reader cost: 0.0437 10/125 [=>............................] - ETA: 4:18 - batch_cost: 2.2495 - reader cost: 0.0393 11/125 [=>............................] - ETA: 4:14 - batch_cost: 2.2302 - reader cost: 0.0358 12/125 [=>............................] - ETA: 4:11 - batch_cost: 2.2217 - reader cost: 0.0328 13/125 [==>...........................] - ETA: 4:06 - batch_cost: 2.2049 - reader cost: 0.0303 14/125 [==>...........................] - ETA: 4:03 - batch_cost: 2.1961 - reader cost: 0.0282 15/125 [==>...........................] - ETA: 4:00 - batch_cost: 2.1840 - reader cost: 0.0263 16/125 [==>...........................] - ETA: 3:57 - batch_cost: 2.1766 - reader cost: 0.0247 17/125 [===>..........................] - ETA: 3:54 - batch_cost: 2.1710 - reader cost: 0.0232 18/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.1656 - reader cost: 0.0219 19/125 [===>..........................] - ETA: 3:48 - batch_cost: 2.1585 - reader cost: 0.0208 20/125 [===>..........................] - ETA: 3:46 - batch_cost: 2.1533 - reader cost: 0.0198 21/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.1485 - reader cost: 0.0188 22/125 [====>.........................] - ETA: 3:41 - batch_cost: 2.1464 - reader cost: 0.0180 23/125 [====>.........................] - ETA: 3:38 - batch_cost: 2.1414 - reader cost: 0.0172 24/125 [====>.........................] - ETA: 3:36 - batch_cost: 2.1395 - reader cost: 0.0165 25/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1368 - reader cost: 0.0159 26/125 [=====>........................] - ETA: 3:31 - batch_cost: 2.1341 - reader cost: 0.0152 27/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1321 - reader cost: 0.0147 28/125 [=====>........................] - ETA: 3:26 - batch_cost: 2.1283 - reader cost: 0.0142 29/125 [=====>........................] - ETA: 3:24 - batch_cost: 2.1257 - reader cost: 0.0137 30/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1234 - reader cost: 0.0132 31/125 [======>.......................] - ETA: 3:19 - batch_cost: 2.1224 - reader cost: 0.0128 32/125 [======>.......................] - ETA: 3:17 - batch_cost: 2.1204 - reader cost: 0.0124 33/125 [======>.......................] - ETA: 3:14 - batch_cost: 2.1177 - reader cost: 0.0121 34/125 [=======>......................] - ETA: 3:12 - batch_cost: 2.1153 - reader cost: 0.0117 35/125 [=======>......................] - ETA: 3:10 - batch_cost: 2.1131 - reader cost: 0.0114 36/125 [=======>......................] - ETA: 3:08 - batch_cost: 2.1125 - reader cost: 0.0111 37/125 [=======>......................] - ETA: 3:05 - batch_cost: 2.1122 - reader cost: 0.0108 38/125 [========>.....................] - ETA: 3:03 - batch_cost: 2.1127 - reader cost: 0.0105 39/125 [========>.....................] - ETA: 3:01 - batch_cost: 2.1135 - reader cost: 0.0102 40/125 [========>.....................] - ETA: 2:59 - batch_cost: 2.1137 - reader cost: 0.0100 41/125 [========>.....................] - ETA: 2:57 - batch_cost: 2.1136 - reader cost: 0.0097 42/125 [=========>....................] - ETA: 2:55 - batch_cost: 2.1135 - reader cost: 0.0095 43/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1135 - reader cost: 0.0093 44/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1134 - reader cost: 0.0091 45/125 [=========>....................] - ETA: 2:49 - batch_cost: 2.1138 - reader cost: 0.0089 46/125 [==========>...................] - ETA: 2:46 - batch_cost: 2.1120 - reader cost: 0.0087 47/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1133 - reader cost: 0.0085 48/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1126 - reader cost: 0.0083 49/125 [==========>...................] - ETA: 2:40 - batch_cost: 2.1115 - reader cost: 0.0082 50/125 [===========>..................] - ETA: 2:38 - batch_cost: 2.1109 - reader cost: 0.0080 51/125 [===========>..................] - ETA: 2:36 - batch_cost: 2.1103 - reader cost: 0.0079 52/125 [===========>..................] - ETA: 2:34 - batch_cost: 2.1111 - reader cost: 0.0077 53/125 [===========>..................] - ETA: 2:32 - batch_cost: 2.1110 - reader cost: 0.0076 54/125 [===========>..................] - ETA: 2:29 - batch_cost: 2.1092 - reader cost: 0.0074 55/125 [============>.................] - ETA: 2:27 - batch_cost: 2.1099 - reader cost: 0.0073 56/125 [============>.................] - ETA: 2:25 - batch_cost: 2.1083 - reader cost: 0.0072 57/125 [============>.................] - ETA: 2:23 - batch_cost: 2.1077 - reader cost: 0.0071 58/125 [============>.................] - ETA: 2:21 - batch_cost: 2.1070 - reader cost: 0.0069 59/125 [=============>................] - ETA: 2:19 - batch_cost: 2.1062 - reader cost: 0.0068 60/125 [=============>................] - ETA: 2:16 - batch_cost: 2.1049 - reader cost: 0.0067 61/125 [=============>................] - ETA: 2:14 - batch_cost: 2.1046 - reader cost: 0.0066 62/125 [=============>................] - ETA: 2:12 - batch_cost: 2.1043 - reader cost: 0.0065 63/125 [==============>...............] - ETA: 2:10 - batch_cost: 2.1035 - reader cost: 0.0064 64/125 [==============>...............] - ETA: 2:08 - batch_cost: 2.1036 - reader cost: 0.0063 65/125 [==============>...............] - ETA: 2:06 - batch_cost: 2.1035 - reader cost: 0.0062 66/125 [==============>...............] - ETA: 2:04 - batch_cost: 2.1033 - reader cost: 0.0061 67/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1022 - reader cost: 0.0060 68/125 [===============>..............] - ETA: 1:59 - batch_cost: 2.1029 - reader cost: 0.0059 69/125 [===============>..............] - ETA: 1:57 - batch_cost: 2.1019 - reader cost: 0.0059 70/125 [===============>..............] - ETA: 1:55 - batch_cost: 2.1021 - reader cost: 0.0058 71/125 [================>.............] - ETA: 1:53 - batch_cost: 2.1019 - reader cost: 0.0057 72/125 [================>.............] - ETA: 1:51 - batch_cost: 2.1019 - reader cost: 0.0056 73/125 [================>.............] - ETA: 1:49 - batch_cost: 2.1017 - reader cost: 0.0056 74/125 [================>.............] - ETA: 1:47 - batch_cost: 2.1015 - reader cost: 0.0055 75/125 [=================>............] - ETA: 1:45 - batch_cost: 2.1026 - reader cost: 0.0054 76/125 [=================>............] - ETA: 1:43 - batch_cost: 2.1028 - reader cost: 0.0053 77/125 [=================>............] - ETA: 1:40 - batch_cost: 2.1022 - reader cost: 0.0053 78/125 [=================>............] - ETA: 1:38 - batch_cost: 2.1021 - reader cost: 0.0052 79/125 [=================>............] - ETA: 1:36 - batch_cost: 2.1029 - reader cost: 0.0051 80/125 [==================>...........] - ETA: 1:34 - batch_cost: 2.1023 - reader cost: 0.0051 81/125 [==================>...........] - ETA: 1:32 - batch_cost: 2.1029 - reader cost: 0.0050 82/125 [==================>...........] - ETA: 1:30 - batch_cost: 2.1028 - reader cost: 0.0050 83/125 [==================>...........] - ETA: 1:28 - batch_cost: 2.1036 - reader cost: 0.0049 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1042 - reader cost: 0.0049 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1044 - reader cost: 0.0048 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1044 - reader cost: 0.0047 87/125 [===================>..........] - ETA: 1:19 - batch_cost: 2.1045 - reader cost: 0.0047 88/125 [====================>.........] - ETA: 1:17 - batch_cost: 2.1044 - reader cost: 0.0046 89/125 [====================>.........] - ETA: 1:15 - batch_cost: 2.1050 - reader cost: 0.0046 90/125 [====================>.........] - ETA: 1:13 - batch_cost: 2.1051 - reader cost: 0.0045 91/125 [====================>.........] - ETA: 1:11 - batch_cost: 2.1053 - reader cost: 0.0045 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1053 - reader cost: 0.0044 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1055 - reader cost: 0.0044 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1055 - reader cost: 0.0044 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1048 - reader cost: 0.0043 96/125 [======================>.......] - ETA: 1:01 - batch_cost: 2.1054 - reader cost: 0.0043 97/125 [======================>.......] - ETA: 58s - batch_cost: 2.1055 - reader cost: 0.0042  98/125 [======================>.......] - ETA: 56s - batch_cost: 2.1057 - reader cost: 0.0042 99/125 [======================>.......] - ETA: 54s - batch_cost: 2.1052 - reader cost: 0.0041 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.1045 - reader cost: 0.0041 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.1046 - reader cost: 0.0041 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1044 - reader cost: 0.0040 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1040 - reader cost: 0.0040 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1037 - reader cost: 0.0040 105/125 [========================>.....] - ETA: 42s - batch_cost: 2.1040 - reader cost: 0.0039 106/125 [========================>.....] - ETA: 39s - batch_cost: 2.1036 - reader cost: 0.0039 107/125 [========================>.....] - ETA: 37s - batch_cost: 2.1035 - reader cost: 0.0039 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.1032 - reader cost: 0.0038 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.1033 - reader cost: 0.0038 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.1032 - reader cost: 0.0038 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.1032 - reader cost: 0.0037 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.1032 - reader cost: 0.0037 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.1029 - reader cost: 0.0037 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.1028 - reader cost: 0.0036 115/125 [==========================>...] - ETA: 21s - batch_cost: 2.1028 - reader cost: 0.0036 116/125 [==========================>...] - ETA: 18s - batch_cost: 2.1030 - reader cost: 0.0036 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.1029 - reader cost: 0.0035 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.1027 - reader cost: 0.0035 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.1027 - reader cost: 0.0035 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.1022 - reader cost: 0.0035 121/125 [============================>.] - ETA: 8s - batch_cost: 2.1024 - reader cost: 0.0034  122/125 [============================>.] - ETA: 6s - batch_cost: 2.1020 - reader cost: 0.0034 123/125 [============================>.] - ETA: 4s - batch_cost: 2.1018 - reader cost: 0.0034 124/125 [============================>.] - ETA: 2s - batch_cost: 2.1012 - reader cost: 0.0034 125/125 [==============================] - 263s 2s/step - batch_cost: 2.1008 - reader cost: 0.0033 2021-08-23 16:05:23 [INFO] [EVAL] #Images: 500 mIoU: 0.8214 Acc: 0.9669 Kappa: 0.9570 2021-08-23 16:05:23 [INFO] [EVAL] Class IoU: [0.9834 0.8669 0.938 0.6946 0.6588 0.701 0.7593 0.8264 0.9319 0.659 0.9557 0.8497 0.6739 0.9584 0.8558 0.9069 0.8685 0.7192 0.7988] 2021-08-23 16:05:23 [INFO] [EVAL] Class Acc: [0.993 0.9197 0.9667 0.8858 0.8779 0.8454 0.8648 0.9145 0.9583 0.8398 0.9714 0.9108 0.7903 0.9744 0.9622 0.9447 0.9638 0.8711 0.8738] 2021-08-23 16:05:25 [INFO] [EVAL] The model with the best validation mIoU (0.8245) was saved at iter 116000. 2021-08-23 16:05:38 [INFO] [TRAIN] epoch: 388, iter: 144010/160000, loss: 0.0413, lr: 0.000006, batch_cost: 1.2319, reader_cost: 0.00075, ips: 1.6235 samples/sec | ETA 05:28:18 2021-08-23 16:05:50 [INFO] [TRAIN] epoch: 388, iter: 144020/160000, loss: 0.0586, lr: 0.000006, batch_cost: 1.2293, reader_cost: 0.00022, ips: 1.6269 samples/sec | ETA 05:27:24 2021-08-23 16:06:02 [INFO] [TRAIN] epoch: 388, iter: 144030/160000, loss: 0.0383, lr: 0.000006, batch_cost: 1.2161, reader_cost: 0.00022, ips: 1.6446 samples/sec | ETA 05:23:40 2021-08-23 16:06:14 [INFO] [TRAIN] epoch: 388, iter: 144040/160000, loss: 0.0490, lr: 0.000006, batch_cost: 1.2274, reader_cost: 0.00023, ips: 1.6294 samples/sec | ETA 05:26:29 2021-08-23 16:06:27 [INFO] [TRAIN] epoch: 388, iter: 144050/160000, loss: 0.0545, lr: 0.000006, batch_cost: 1.2223, reader_cost: 0.00023, ips: 1.6363 samples/sec | ETA 05:24:55 2021-08-23 16:06:39 [INFO] [TRAIN] epoch: 388, iter: 144060/160000, loss: 0.0541, lr: 0.000006, batch_cost: 1.2291, reader_cost: 0.00024, ips: 1.6273 samples/sec | ETA 05:26:31 2021-08-23 16:06:51 [INFO] [TRAIN] epoch: 388, iter: 144070/160000, loss: 0.0503, lr: 0.000006, batch_cost: 1.2303, reader_cost: 0.00023, ips: 1.6257 samples/sec | ETA 05:26:37 2021-08-23 16:07:03 [INFO] [TRAIN] epoch: 388, iter: 144080/160000, loss: 0.0460, lr: 0.000006, batch_cost: 1.2096, reader_cost: 0.00023, ips: 1.6535 samples/sec | ETA 05:20:56 2021-08-23 16:07:15 [INFO] [TRAIN] epoch: 388, iter: 144090/160000, loss: 0.0590, lr: 0.000006, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6391 samples/sec | ETA 05:23:33 2021-08-23 16:07:28 [INFO] [TRAIN] epoch: 388, iter: 144100/160000, loss: 0.0611, lr: 0.000006, batch_cost: 1.2240, reader_cost: 0.00021, ips: 1.6340 samples/sec | ETA 05:24:21 2021-08-23 16:07:40 [INFO] [TRAIN] epoch: 388, iter: 144110/160000, loss: 0.0471, lr: 0.000006, batch_cost: 1.2320, reader_cost: 0.00022, ips: 1.6233 samples/sec | ETA 05:26:17 2021-08-23 16:07:52 [INFO] [TRAIN] epoch: 388, iter: 144120/160000, loss: 0.0431, lr: 0.000006, batch_cost: 1.2163, reader_cost: 0.00021, ips: 1.6443 samples/sec | ETA 05:21:55 2021-08-23 16:08:04 [INFO] [TRAIN] epoch: 388, iter: 144130/160000, loss: 0.0562, lr: 0.000006, batch_cost: 1.2253, reader_cost: 0.00021, ips: 1.6322 samples/sec | ETA 05:24:05 2021-08-23 16:08:17 [INFO] [TRAIN] epoch: 388, iter: 144140/160000, loss: 0.0543, lr: 0.000006, batch_cost: 1.2297, reader_cost: 0.00023, ips: 1.6264 samples/sec | ETA 05:25:03 2021-08-23 16:08:29 [INFO] [TRAIN] epoch: 388, iter: 144150/160000, loss: 0.0490, lr: 0.000006, batch_cost: 1.2274, reader_cost: 0.00022, ips: 1.6294 samples/sec | ETA 05:24:15 2021-08-23 16:08:41 [INFO] [TRAIN] epoch: 388, iter: 144160/160000, loss: 0.0535, lr: 0.000006, batch_cost: 1.2399, reader_cost: 0.00023, ips: 1.6130 samples/sec | ETA 05:27:20 2021-08-23 16:08:54 [INFO] [TRAIN] epoch: 388, iter: 144170/160000, loss: 0.0498, lr: 0.000006, batch_cost: 1.2290, reader_cost: 0.00022, ips: 1.6273 samples/sec | ETA 05:24:15 2021-08-23 16:09:06 [INFO] [TRAIN] epoch: 388, iter: 144180/160000, loss: 0.0512, lr: 0.000006, batch_cost: 1.2205, reader_cost: 0.00025, ips: 1.6386 samples/sec | ETA 05:21:49 2021-08-23 16:09:18 [INFO] [TRAIN] epoch: 388, iter: 144190/160000, loss: 0.0529, lr: 0.000006, batch_cost: 1.2143, reader_cost: 0.00022, ips: 1.6471 samples/sec | ETA 05:19:57 2021-08-23 16:09:30 [INFO] [TRAIN] epoch: 388, iter: 144200/160000, loss: 0.0583, lr: 0.000006, batch_cost: 1.2234, reader_cost: 0.00022, ips: 1.6348 samples/sec | ETA 05:22:10 2021-08-23 16:09:43 [INFO] [TRAIN] epoch: 388, iter: 144210/160000, loss: 0.0545, lr: 0.000006, batch_cost: 1.2267, reader_cost: 0.00022, ips: 1.6304 samples/sec | ETA 05:22:49 2021-08-23 16:09:55 [INFO] [TRAIN] epoch: 388, iter: 144220/160000, loss: 0.0557, lr: 0.000006, batch_cost: 1.2195, reader_cost: 0.00022, ips: 1.6400 samples/sec | ETA 05:20:43 2021-08-23 16:10:07 [INFO] [TRAIN] epoch: 388, iter: 144230/160000, loss: 0.0467, lr: 0.000006, batch_cost: 1.2258, reader_cost: 0.00023, ips: 1.6316 samples/sec | ETA 05:22:10 2021-08-23 16:10:19 [INFO] [TRAIN] epoch: 388, iter: 144240/160000, loss: 0.0523, lr: 0.000006, batch_cost: 1.2433, reader_cost: 0.00022, ips: 1.6086 samples/sec | ETA 05:26:34 2021-08-23 16:10:32 [INFO] [TRAIN] epoch: 388, iter: 144250/160000, loss: 0.0436, lr: 0.000006, batch_cost: 1.2391, reader_cost: 0.00022, ips: 1.6141 samples/sec | ETA 05:25:16 2021-08-23 16:10:44 [INFO] [TRAIN] epoch: 388, iter: 144260/160000, loss: 0.0437, lr: 0.000006, batch_cost: 1.2472, reader_cost: 0.00023, ips: 1.6036 samples/sec | ETA 05:27:10 2021-08-23 16:10:57 [INFO] [TRAIN] epoch: 388, iter: 144270/160000, loss: 0.0454, lr: 0.000006, batch_cost: 1.2380, reader_cost: 0.00022, ips: 1.6155 samples/sec | ETA 05:24:33 2021-08-23 16:11:09 [INFO] [TRAIN] epoch: 388, iter: 144280/160000, loss: 0.0418, lr: 0.000006, batch_cost: 1.2281, reader_cost: 0.00020, ips: 1.6285 samples/sec | ETA 05:21:46 2021-08-23 16:11:21 [INFO] [TRAIN] epoch: 388, iter: 144290/160000, loss: 0.0452, lr: 0.000006, batch_cost: 1.2271, reader_cost: 0.00024, ips: 1.6299 samples/sec | ETA 05:21:17 2021-08-23 16:11:33 [INFO] [TRAIN] epoch: 388, iter: 144300/160000, loss: 0.0486, lr: 0.000006, batch_cost: 1.2261, reader_cost: 0.00023, ips: 1.6311 samples/sec | ETA 05:20:50 2021-08-23 16:11:46 [INFO] [TRAIN] epoch: 388, iter: 144310/160000, loss: 0.0491, lr: 0.000006, batch_cost: 1.2195, reader_cost: 0.00021, ips: 1.6400 samples/sec | ETA 05:18:54 2021-08-23 16:11:58 [INFO] [TRAIN] epoch: 388, iter: 144320/160000, loss: 0.0409, lr: 0.000006, batch_cost: 1.2490, reader_cost: 0.00023, ips: 1.6013 samples/sec | ETA 05:26:23 2021-08-23 16:12:10 [INFO] [TRAIN] epoch: 388, iter: 144330/160000, loss: 0.0451, lr: 0.000006, batch_cost: 1.2084, reader_cost: 0.00070, ips: 1.6550 samples/sec | ETA 05:15:36 2021-08-23 16:12:25 [INFO] [TRAIN] epoch: 389, iter: 144340/160000, loss: 0.0424, lr: 0.000006, batch_cost: 1.4700, reader_cost: 0.21434, ips: 1.3606 samples/sec | ETA 06:23:39 2021-08-23 16:12:37 [INFO] [TRAIN] epoch: 389, iter: 144350/160000, loss: 0.0384, lr: 0.000006, batch_cost: 1.2117, reader_cost: 0.00073, ips: 1.6506 samples/sec | ETA 05:16:02 2021-08-23 16:12:49 [INFO] [TRAIN] epoch: 389, iter: 144360/160000, loss: 0.0427, lr: 0.000006, batch_cost: 1.2341, reader_cost: 0.00020, ips: 1.6206 samples/sec | ETA 05:21:41 2021-08-23 16:13:02 [INFO] [TRAIN] epoch: 389, iter: 144370/160000, loss: 0.0394, lr: 0.000006, batch_cost: 1.2160, reader_cost: 0.00021, ips: 1.6448 samples/sec | ETA 05:16:45 2021-08-23 16:13:14 [INFO] [TRAIN] epoch: 389, iter: 144380/160000, loss: 0.0499, lr: 0.000006, batch_cost: 1.2316, reader_cost: 0.00021, ips: 1.6239 samples/sec | ETA 05:20:37 2021-08-23 16:13:26 [INFO] [TRAIN] epoch: 389, iter: 144390/160000, loss: 0.0424, lr: 0.000006, batch_cost: 1.2380, reader_cost: 0.00021, ips: 1.6155 samples/sec | ETA 05:22:05 2021-08-23 16:13:39 [INFO] [TRAIN] epoch: 389, iter: 144400/160000, loss: 0.0486, lr: 0.000006, batch_cost: 1.2344, reader_cost: 0.00021, ips: 1.6203 samples/sec | ETA 05:20:56 2021-08-23 16:13:51 [INFO] [TRAIN] epoch: 389, iter: 144410/160000, loss: 0.0449, lr: 0.000006, batch_cost: 1.2543, reader_cost: 0.00022, ips: 1.5945 samples/sec | ETA 05:25:55 2021-08-23 16:14:04 [INFO] [TRAIN] epoch: 389, iter: 144420/160000, loss: 0.0561, lr: 0.000006, batch_cost: 1.2427, reader_cost: 0.00022, ips: 1.6094 samples/sec | ETA 05:22:40 2021-08-23 16:14:16 [INFO] [TRAIN] epoch: 389, iter: 144430/160000, loss: 0.0487, lr: 0.000006, batch_cost: 1.2335, reader_cost: 0.00024, ips: 1.6214 samples/sec | ETA 05:20:05 2021-08-23 16:14:28 [INFO] [TRAIN] epoch: 389, iter: 144440/160000, loss: 0.0510, lr: 0.000006, batch_cost: 1.2220, reader_cost: 0.00021, ips: 1.6367 samples/sec | ETA 05:16:53 2021-08-23 16:14:40 [INFO] [TRAIN] epoch: 389, iter: 144450/160000, loss: 0.0464, lr: 0.000006, batch_cost: 1.2318, reader_cost: 0.00024, ips: 1.6236 samples/sec | ETA 05:19:15 2021-08-23 16:14:53 [INFO] [TRAIN] epoch: 389, iter: 144460/160000, loss: 0.0456, lr: 0.000006, batch_cost: 1.2190, reader_cost: 0.00023, ips: 1.6407 samples/sec | ETA 05:15:42 2021-08-23 16:15:05 [INFO] [TRAIN] epoch: 389, iter: 144470/160000, loss: 0.0504, lr: 0.000006, batch_cost: 1.2183, reader_cost: 0.00022, ips: 1.6417 samples/sec | ETA 05:15:19 2021-08-23 16:15:17 [INFO] [TRAIN] epoch: 389, iter: 144480/160000, loss: 0.0528, lr: 0.000006, batch_cost: 1.2187, reader_cost: 0.00021, ips: 1.6411 samples/sec | ETA 05:15:13 2021-08-23 16:15:29 [INFO] [TRAIN] epoch: 389, iter: 144490/160000, loss: 0.0471, lr: 0.000006, batch_cost: 1.2366, reader_cost: 0.00022, ips: 1.6173 samples/sec | ETA 05:19:40 2021-08-23 16:15:42 [INFO] [TRAIN] epoch: 389, iter: 144500/160000, loss: 0.0440, lr: 0.000006, batch_cost: 1.2247, reader_cost: 0.00023, ips: 1.6331 samples/sec | ETA 05:16:22 2021-08-23 16:15:54 [INFO] [TRAIN] epoch: 389, iter: 144510/160000, loss: 0.0547, lr: 0.000006, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 05:16:02 2021-08-23 16:16:06 [INFO] [TRAIN] epoch: 389, iter: 144520/160000, loss: 0.0453, lr: 0.000006, batch_cost: 1.2309, reader_cost: 0.00023, ips: 1.6248 samples/sec | ETA 05:17:34 2021-08-23 16:16:18 [INFO] [TRAIN] epoch: 389, iter: 144530/160000, loss: 0.0373, lr: 0.000006, batch_cost: 1.2301, reader_cost: 0.00022, ips: 1.6258 samples/sec | ETA 05:17:10 2021-08-23 16:16:31 [INFO] [TRAIN] epoch: 389, iter: 144540/160000, loss: 0.0497, lr: 0.000006, batch_cost: 1.2401, reader_cost: 0.00022, ips: 1.6128 samples/sec | ETA 05:19:31 2021-08-23 16:16:43 [INFO] [TRAIN] epoch: 389, iter: 144550/160000, loss: 0.0536, lr: 0.000006, batch_cost: 1.2432, reader_cost: 0.00022, ips: 1.6088 samples/sec | ETA 05:20:06 2021-08-23 16:16:56 [INFO] [TRAIN] epoch: 389, iter: 144560/160000, loss: 0.0414, lr: 0.000006, batch_cost: 1.2346, reader_cost: 0.00024, ips: 1.6200 samples/sec | ETA 05:17:42 2021-08-23 16:17:08 [INFO] [TRAIN] epoch: 389, iter: 144570/160000, loss: 0.0587, lr: 0.000006, batch_cost: 1.2315, reader_cost: 0.00022, ips: 1.6240 samples/sec | ETA 05:16:42 2021-08-23 16:17:20 [INFO] [TRAIN] epoch: 389, iter: 144580/160000, loss: 0.0491, lr: 0.000006, batch_cost: 1.2131, reader_cost: 0.00022, ips: 1.6486 samples/sec | ETA 05:11:46 2021-08-23 16:17:32 [INFO] [TRAIN] epoch: 389, iter: 144590/160000, loss: 0.0520, lr: 0.000006, batch_cost: 1.2286, reader_cost: 0.00021, ips: 1.6278 samples/sec | ETA 05:15:33 2021-08-23 16:17:45 [INFO] [TRAIN] epoch: 389, iter: 144600/160000, loss: 0.0461, lr: 0.000006, batch_cost: 1.2299, reader_cost: 0.00023, ips: 1.6262 samples/sec | ETA 05:15:39 2021-08-23 16:17:57 [INFO] [TRAIN] epoch: 389, iter: 144610/160000, loss: 0.0651, lr: 0.000006, batch_cost: 1.2221, reader_cost: 0.00022, ips: 1.6365 samples/sec | ETA 05:13:28 2021-08-23 16:18:09 [INFO] [TRAIN] epoch: 389, iter: 144620/160000, loss: 0.0476, lr: 0.000006, batch_cost: 1.2423, reader_cost: 0.00023, ips: 1.6100 samples/sec | ETA 05:18:25 2021-08-23 16:18:22 [INFO] [TRAIN] epoch: 389, iter: 144630/160000, loss: 0.0398, lr: 0.000006, batch_cost: 1.2195, reader_cost: 0.00021, ips: 1.6400 samples/sec | ETA 05:12:23 2021-08-23 16:18:34 [INFO] [TRAIN] epoch: 389, iter: 144640/160000, loss: 0.0479, lr: 0.000006, batch_cost: 1.2460, reader_cost: 0.00021, ips: 1.6052 samples/sec | ETA 05:18:58 2021-08-23 16:18:46 [INFO] [TRAIN] epoch: 389, iter: 144650/160000, loss: 0.0358, lr: 0.000006, batch_cost: 1.2469, reader_cost: 0.00021, ips: 1.6040 samples/sec | ETA 05:18:59 2021-08-23 16:18:59 [INFO] [TRAIN] epoch: 389, iter: 144660/160000, loss: 0.0552, lr: 0.000006, batch_cost: 1.2233, reader_cost: 0.00022, ips: 1.6349 samples/sec | ETA 05:12:45 2021-08-23 16:19:11 [INFO] [TRAIN] epoch: 389, iter: 144670/160000, loss: 0.0472, lr: 0.000006, batch_cost: 1.2208, reader_cost: 0.00022, ips: 1.6383 samples/sec | ETA 05:11:55 2021-08-23 16:19:23 [INFO] [TRAIN] epoch: 389, iter: 144680/160000, loss: 0.0419, lr: 0.000006, batch_cost: 1.2383, reader_cost: 0.00021, ips: 1.6151 samples/sec | ETA 05:16:10 2021-08-23 16:19:36 [INFO] [TRAIN] epoch: 389, iter: 144690/160000, loss: 0.0360, lr: 0.000006, batch_cost: 1.2223, reader_cost: 0.00023, ips: 1.6362 samples/sec | ETA 05:11:54 2021-08-23 16:19:48 [INFO] [TRAIN] epoch: 389, iter: 144700/160000, loss: 0.0415, lr: 0.000006, batch_cost: 1.2225, reader_cost: 0.00019, ips: 1.6360 samples/sec | ETA 05:11:44 2021-08-23 16:20:02 [INFO] [TRAIN] epoch: 390, iter: 144710/160000, loss: 0.0625, lr: 0.000006, batch_cost: 1.4666, reader_cost: 0.19288, ips: 1.3637 samples/sec | ETA 06:13:43 2021-08-23 16:20:15 [INFO] [TRAIN] epoch: 390, iter: 144720/160000, loss: 0.0468, lr: 0.000006, batch_cost: 1.2359, reader_cost: 0.00079, ips: 1.6182 samples/sec | ETA 05:14:44 2021-08-23 16:20:27 [INFO] [TRAIN] epoch: 390, iter: 144730/160000, loss: 0.0524, lr: 0.000006, batch_cost: 1.2175, reader_cost: 0.00022, ips: 1.6427 samples/sec | ETA 05:09:51 2021-08-23 16:20:39 [INFO] [TRAIN] epoch: 390, iter: 144740/160000, loss: 0.0512, lr: 0.000006, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6326 samples/sec | ETA 05:11:34 2021-08-23 16:20:51 [INFO] [TRAIN] epoch: 390, iter: 144750/160000, loss: 0.0510, lr: 0.000006, batch_cost: 1.2175, reader_cost: 0.00021, ips: 1.6427 samples/sec | ETA 05:09:26 2021-08-23 16:21:04 [INFO] [TRAIN] epoch: 390, iter: 144760/160000, loss: 0.0536, lr: 0.000006, batch_cost: 1.2468, reader_cost: 0.00021, ips: 1.6040 samples/sec | ETA 05:16:41 2021-08-23 16:21:16 [INFO] [TRAIN] epoch: 390, iter: 144770/160000, loss: 0.0498, lr: 0.000006, batch_cost: 1.2282, reader_cost: 0.00023, ips: 1.6284 samples/sec | ETA 05:11:45 2021-08-23 16:21:28 [INFO] [TRAIN] epoch: 390, iter: 144780/160000, loss: 0.0530, lr: 0.000006, batch_cost: 1.2258, reader_cost: 0.00023, ips: 1.6316 samples/sec | ETA 05:10:56 2021-08-23 16:21:41 [INFO] [TRAIN] epoch: 390, iter: 144790/160000, loss: 0.0556, lr: 0.000006, batch_cost: 1.2392, reader_cost: 0.00023, ips: 1.6140 samples/sec | ETA 05:14:07 2021-08-23 16:21:53 [INFO] [TRAIN] epoch: 390, iter: 144800/160000, loss: 0.0448, lr: 0.000006, batch_cost: 1.2256, reader_cost: 0.00023, ips: 1.6319 samples/sec | ETA 05:10:28 2021-08-23 16:22:05 [INFO] [TRAIN] epoch: 390, iter: 144810/160000, loss: 0.0493, lr: 0.000006, batch_cost: 1.2357, reader_cost: 0.00021, ips: 1.6185 samples/sec | ETA 05:12:50 2021-08-23 16:22:18 [INFO] [TRAIN] epoch: 390, iter: 144820/160000, loss: 0.0532, lr: 0.000006, batch_cost: 1.2231, reader_cost: 0.00021, ips: 1.6352 samples/sec | ETA 05:09:26 2021-08-23 16:22:30 [INFO] [TRAIN] epoch: 390, iter: 144830/160000, loss: 0.0496, lr: 0.000006, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6255 samples/sec | ETA 05:11:04 2021-08-23 16:22:42 [INFO] [TRAIN] epoch: 390, iter: 144840/160000, loss: 0.0492, lr: 0.000006, batch_cost: 1.2118, reader_cost: 0.00022, ips: 1.6504 samples/sec | ETA 05:06:10 2021-08-23 16:22:54 [INFO] [TRAIN] epoch: 390, iter: 144850/160000, loss: 0.0484, lr: 0.000006, batch_cost: 1.2164, reader_cost: 0.00023, ips: 1.6442 samples/sec | ETA 05:07:08 2021-08-23 16:23:06 [INFO] [TRAIN] epoch: 390, iter: 144860/160000, loss: 0.0467, lr: 0.000006, batch_cost: 1.2210, reader_cost: 0.00021, ips: 1.6380 samples/sec | ETA 05:08:05 2021-08-23 16:23:19 [INFO] [TRAIN] epoch: 390, iter: 144870/160000, loss: 0.0464, lr: 0.000006, batch_cost: 1.2124, reader_cost: 0.00023, ips: 1.6496 samples/sec | ETA 05:05:44 2021-08-23 16:23:31 [INFO] [TRAIN] epoch: 390, iter: 144880/160000, loss: 0.0552, lr: 0.000006, batch_cost: 1.2320, reader_cost: 0.00023, ips: 1.6233 samples/sec | ETA 05:10:28 2021-08-23 16:23:43 [INFO] [TRAIN] epoch: 390, iter: 144890/160000, loss: 0.0496, lr: 0.000006, batch_cost: 1.2364, reader_cost: 0.00023, ips: 1.6176 samples/sec | ETA 05:11:21 2021-08-23 16:23:55 [INFO] [TRAIN] epoch: 390, iter: 144900/160000, loss: 0.0496, lr: 0.000006, batch_cost: 1.2268, reader_cost: 0.00023, ips: 1.6302 samples/sec | ETA 05:08:45 2021-08-23 16:24:08 [INFO] [TRAIN] epoch: 390, iter: 144910/160000, loss: 0.0525, lr: 0.000006, batch_cost: 1.2244, reader_cost: 0.00022, ips: 1.6334 samples/sec | ETA 05:07:56 2021-08-23 16:24:20 [INFO] [TRAIN] epoch: 390, iter: 144920/160000, loss: 0.0404, lr: 0.000006, batch_cost: 1.2146, reader_cost: 0.00022, ips: 1.6466 samples/sec | ETA 05:05:16 2021-08-23 16:24:32 [INFO] [TRAIN] epoch: 390, iter: 144930/160000, loss: 0.0500, lr: 0.000006, batch_cost: 1.2196, reader_cost: 0.00022, ips: 1.6399 samples/sec | ETA 05:06:18 2021-08-23 16:24:44 [INFO] [TRAIN] epoch: 390, iter: 144940/160000, loss: 0.0479, lr: 0.000006, batch_cost: 1.2110, reader_cost: 0.00021, ips: 1.6515 samples/sec | ETA 05:03:58 2021-08-23 16:24:57 [INFO] [TRAIN] epoch: 390, iter: 144950/160000, loss: 0.0530, lr: 0.000006, batch_cost: 1.2366, reader_cost: 0.00022, ips: 1.6174 samples/sec | ETA 05:10:10 2021-08-23 16:25:09 [INFO] [TRAIN] epoch: 390, iter: 144960/160000, loss: 0.0504, lr: 0.000006, batch_cost: 1.2321, reader_cost: 0.00022, ips: 1.6233 samples/sec | ETA 05:08:50 2021-08-23 16:25:21 [INFO] [TRAIN] epoch: 390, iter: 144970/160000, loss: 0.0480, lr: 0.000006, batch_cost: 1.2385, reader_cost: 0.00023, ips: 1.6148 samples/sec | ETA 05:10:14 2021-08-23 16:25:34 [INFO] [TRAIN] epoch: 390, iter: 144980/160000, loss: 0.0371, lr: 0.000006, batch_cost: 1.2333, reader_cost: 0.00022, ips: 1.6216 samples/sec | ETA 05:08:44 2021-08-23 16:25:46 [INFO] [TRAIN] epoch: 390, iter: 144990/160000, loss: 0.0498, lr: 0.000006, batch_cost: 1.2337, reader_cost: 0.00022, ips: 1.6212 samples/sec | ETA 05:08:37 2021-08-23 16:25:58 [INFO] [TRAIN] epoch: 390, iter: 145000/160000, loss: 0.0439, lr: 0.000006, batch_cost: 1.2250, reader_cost: 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loss: 0.0629, lr: 0.000006, batch_cost: 1.2284, reader_cost: 0.00022, ips: 1.6281 samples/sec | ETA 05:05:52 2021-08-23 16:27:24 [INFO] [TRAIN] epoch: 390, iter: 145070/160000, loss: 0.0534, lr: 0.000006, batch_cost: 1.2140, reader_cost: 0.00021, ips: 1.6474 samples/sec | ETA 05:02:05 2021-08-23 16:27:36 [INFO] [TRAIN] epoch: 390, iter: 145080/160000, loss: 0.0443, lr: 0.000006, batch_cost: 1.1823, reader_cost: 0.00016, ips: 1.6916 samples/sec | ETA 04:54:00 2021-08-23 16:27:51 [INFO] [TRAIN] epoch: 391, iter: 145090/160000, loss: 0.0518, lr: 0.000006, batch_cost: 1.4930, reader_cost: 0.21516, ips: 1.3396 samples/sec | ETA 06:11:00 2021-08-23 16:28:03 [INFO] [TRAIN] epoch: 391, iter: 145100/160000, loss: 0.0390, lr: 0.000006, batch_cost: 1.2214, reader_cost: 0.00104, ips: 1.6374 samples/sec | ETA 05:03:19 2021-08-23 16:28:15 [INFO] [TRAIN] epoch: 391, iter: 145110/160000, loss: 0.0457, lr: 0.000006, batch_cost: 1.2184, reader_cost: 0.00021, ips: 1.6415 samples/sec | ETA 05:02:21 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05:02:28 2021-08-23 16:31:56 [INFO] [TRAIN] epoch: 391, iter: 145290/160000, loss: 0.0454, lr: 0.000006, batch_cost: 1.2249, reader_cost: 0.00023, ips: 1.6328 samples/sec | ETA 05:00:18 2021-08-23 16:32:08 [INFO] [TRAIN] epoch: 391, iter: 145300/160000, loss: 0.0388, lr: 0.000006, batch_cost: 1.2374, reader_cost: 0.00023, ips: 1.6163 samples/sec | ETA 05:03:09 2021-08-23 16:32:21 [INFO] [TRAIN] epoch: 391, iter: 145310/160000, loss: 0.0460, lr: 0.000006, batch_cost: 1.2239, reader_cost: 0.00023, ips: 1.6341 samples/sec | ETA 04:59:39 2021-08-23 16:32:33 [INFO] [TRAIN] epoch: 391, iter: 145320/160000, loss: 0.0436, lr: 0.000006, batch_cost: 1.2212, reader_cost: 0.00022, ips: 1.6377 samples/sec | ETA 04:58:47 2021-08-23 16:32:45 [INFO] [TRAIN] epoch: 391, iter: 145330/160000, loss: 0.0524, lr: 0.000006, batch_cost: 1.2448, reader_cost: 0.00022, ips: 1.6067 samples/sec | ETA 05:04:20 2021-08-23 16:32:58 [INFO] [TRAIN] epoch: 391, iter: 145340/160000, loss: 0.0475, lr: 0.000005, batch_cost: 1.2263, reader_cost: 0.00020, ips: 1.6309 samples/sec | ETA 04:59:38 2021-08-23 16:33:10 [INFO] [TRAIN] epoch: 391, iter: 145350/160000, loss: 0.0445, lr: 0.000005, batch_cost: 1.2330, reader_cost: 0.00022, ips: 1.6221 samples/sec | ETA 05:01:03 2021-08-23 16:33:22 [INFO] [TRAIN] epoch: 391, iter: 145360/160000, loss: 0.0539, lr: 0.000005, batch_cost: 1.2271, reader_cost: 0.00022, ips: 1.6299 samples/sec | ETA 04:59:24 2021-08-23 16:33:34 [INFO] [TRAIN] epoch: 391, iter: 145370/160000, loss: 0.0528, lr: 0.000005, batch_cost: 1.2205, reader_cost: 0.00021, ips: 1.6387 samples/sec | ETA 04:57:36 2021-08-23 16:33:47 [INFO] [TRAIN] epoch: 391, iter: 145380/160000, loss: 0.0458, lr: 0.000005, batch_cost: 1.2323, reader_cost: 0.00024, ips: 1.6230 samples/sec | ETA 05:00:16 2021-08-23 16:33:59 [INFO] [TRAIN] epoch: 391, iter: 145390/160000, loss: 0.0444, lr: 0.000005, batch_cost: 1.2184, reader_cost: 0.00021, ips: 1.6415 samples/sec | ETA 04:56:41 2021-08-23 16:34:11 [INFO] [TRAIN] epoch: 391, iter: 145400/160000, loss: 0.0476, lr: 0.000005, batch_cost: 1.2465, reader_cost: 0.00021, ips: 1.6044 samples/sec | ETA 05:03:19 2021-08-23 16:34:24 [INFO] [TRAIN] epoch: 391, iter: 145410/160000, loss: 0.0468, lr: 0.000005, batch_cost: 1.2221, reader_cost: 0.00022, ips: 1.6366 samples/sec | ETA 04:57:10 2021-08-23 16:34:36 [INFO] [TRAIN] epoch: 391, iter: 145420/160000, loss: 0.0534, lr: 0.000005, batch_cost: 1.2359, reader_cost: 0.00023, ips: 1.6182 samples/sec | ETA 05:00:19 2021-08-23 16:34:48 [INFO] [TRAIN] epoch: 391, iter: 145430/160000, loss: 0.0544, lr: 0.000005, batch_cost: 1.2288, reader_cost: 0.00022, ips: 1.6276 samples/sec | ETA 04:58:23 2021-08-23 16:35:01 [INFO] [TRAIN] epoch: 391, iter: 145440/160000, loss: 0.0598, lr: 0.000005, batch_cost: 1.2424, reader_cost: 0.00022, ips: 1.6098 samples/sec | ETA 05:01:28 2021-08-23 16:35:12 [INFO] [TRAIN] epoch: 391, iter: 145450/160000, loss: 0.0542, lr: 0.000005, batch_cost: 1.1816, reader_cost: 0.00016, ips: 1.6926 samples/sec | ETA 04:46:32 2021-08-23 16:35:27 [INFO] [TRAIN] epoch: 392, iter: 145460/160000, loss: 0.0481, lr: 0.000005, batch_cost: 1.4860, reader_cost: 0.21784, ips: 1.3459 samples/sec | ETA 06:00:07 2021-08-23 16:35:40 [INFO] [TRAIN] epoch: 392, iter: 145470/160000, loss: 0.0502, lr: 0.000005, batch_cost: 1.2344, reader_cost: 0.00073, ips: 1.6202 samples/sec | ETA 04:58:56 2021-08-23 16:35:52 [INFO] [TRAIN] epoch: 392, iter: 145480/160000, loss: 0.0459, lr: 0.000005, batch_cost: 1.2274, reader_cost: 0.00020, ips: 1.6295 samples/sec | ETA 04:57:01 2021-08-23 16:36:04 [INFO] [TRAIN] epoch: 392, iter: 145490/160000, loss: 0.0549, lr: 0.000005, batch_cost: 1.2153, reader_cost: 0.00021, ips: 1.6457 samples/sec | ETA 04:53:53 2021-08-23 16:36:16 [INFO] [TRAIN] epoch: 392, iter: 145500/160000, loss: 0.0459, lr: 0.000005, batch_cost: 1.2195, reader_cost: 0.00021, ips: 1.6400 samples/sec | ETA 04:54:42 2021-08-23 16:36:29 [INFO] [TRAIN] epoch: 392, iter: 145510/160000, loss: 0.0473, lr: 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[INFO] [TRAIN] epoch: 392, iter: 145570/160000, loss: 0.0426, lr: 0.000005, batch_cost: 1.2452, reader_cost: 0.00021, ips: 1.6062 samples/sec | ETA 04:59:28 2021-08-23 16:37:55 [INFO] [TRAIN] epoch: 392, iter: 145580/160000, loss: 0.0464, lr: 0.000005, batch_cost: 1.2421, reader_cost: 0.00024, ips: 1.6102 samples/sec | ETA 04:58:30 2021-08-23 16:38:07 [INFO] [TRAIN] epoch: 392, iter: 145590/160000, loss: 0.0504, lr: 0.000005, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6255 samples/sec | ETA 04:55:29 2021-08-23 16:38:19 [INFO] [TRAIN] epoch: 392, iter: 145600/160000, loss: 0.0467, lr: 0.000005, batch_cost: 1.2206, reader_cost: 0.00023, ips: 1.6385 samples/sec | ETA 04:52:56 2021-08-23 16:38:32 [INFO] [TRAIN] epoch: 392, iter: 145610/160000, loss: 0.0515, lr: 0.000005, batch_cost: 1.2298, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 04:54:57 2021-08-23 16:38:44 [INFO] [TRAIN] epoch: 392, iter: 145620/160000, loss: 0.0493, lr: 0.000005, batch_cost: 1.2123, reader_cost: 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04:50:47 2021-08-23 16:44:43 [INFO] [TRAIN] epoch: 393, iter: 145910/160000, loss: 0.0492, lr: 0.000005, batch_cost: 1.2359, reader_cost: 0.00022, ips: 1.6183 samples/sec | ETA 04:50:13 2021-08-23 16:44:55 [INFO] [TRAIN] epoch: 393, iter: 145920/160000, loss: 0.0552, lr: 0.000005, batch_cost: 1.2233, reader_cost: 0.00023, ips: 1.6349 samples/sec | ETA 04:47:03 2021-08-23 16:45:07 [INFO] [TRAIN] epoch: 393, iter: 145930/160000, loss: 0.0462, lr: 0.000005, batch_cost: 1.2230, reader_cost: 0.00024, ips: 1.6353 samples/sec | ETA 04:46:47 2021-08-23 16:45:19 [INFO] [TRAIN] epoch: 393, iter: 145940/160000, loss: 0.0420, lr: 0.000005, batch_cost: 1.2176, reader_cost: 0.00076, ips: 1.6425 samples/sec | ETA 04:45:19 2021-08-23 16:45:32 [INFO] [TRAIN] epoch: 393, iter: 145950/160000, loss: 0.0388, lr: 0.000005, batch_cost: 1.2216, reader_cost: 0.00020, ips: 1.6372 samples/sec | ETA 04:46:03 2021-08-23 16:45:44 [INFO] [TRAIN] epoch: 393, iter: 145960/160000, loss: 0.0416, lr: 0.000005, 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epoch: 393, iter: 146020/160000, loss: 0.0423, lr: 0.000005, batch_cost: 1.2318, reader_cost: 0.00020, ips: 1.6236 samples/sec | ETA 04:47:01 2021-08-23 16:47:10 [INFO] [TRAIN] epoch: 393, iter: 146030/160000, loss: 0.0558, lr: 0.000005, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6370 samples/sec | ETA 04:44:28 2021-08-23 16:47:22 [INFO] [TRAIN] epoch: 393, iter: 146040/160000, loss: 0.0468, lr: 0.000005, batch_cost: 1.2516, reader_cost: 0.00020, ips: 1.5980 samples/sec | ETA 04:51:11 2021-08-23 16:47:35 [INFO] [TRAIN] epoch: 393, iter: 146050/160000, loss: 0.0453, lr: 0.000005, batch_cost: 1.2160, reader_cost: 0.00021, ips: 1.6447 samples/sec | ETA 04:42:43 2021-08-23 16:47:47 [INFO] [TRAIN] epoch: 393, iter: 146060/160000, loss: 0.0504, lr: 0.000005, batch_cost: 1.2190, reader_cost: 0.00022, ips: 1.6407 samples/sec | ETA 04:43:12 2021-08-23 16:47:59 [INFO] [TRAIN] epoch: 393, iter: 146070/160000, loss: 0.0510, lr: 0.000005, batch_cost: 1.2187, reader_cost: 0.00021, ips: 1.6411 samples/sec | ETA 04:42:56 2021-08-23 16:48:11 [INFO] [TRAIN] epoch: 393, iter: 146080/160000, loss: 0.0537, lr: 0.000005, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6387 samples/sec | ETA 04:43:08 2021-08-23 16:48:23 [INFO] [TRAIN] epoch: 393, iter: 146090/160000, loss: 0.0412, lr: 0.000005, batch_cost: 1.2228, reader_cost: 0.00021, ips: 1.6356 samples/sec | ETA 04:43:29 2021-08-23 16:48:36 [INFO] [TRAIN] epoch: 393, iter: 146100/160000, loss: 0.0449, lr: 0.000005, batch_cost: 1.2201, reader_cost: 0.00023, ips: 1.6392 samples/sec | ETA 04:42:39 2021-08-23 16:48:48 [INFO] [TRAIN] epoch: 393, iter: 146110/160000, loss: 0.0537, lr: 0.000005, batch_cost: 1.2232, reader_cost: 0.00021, ips: 1.6351 samples/sec | ETA 04:43:09 2021-08-23 16:49:00 [INFO] [TRAIN] epoch: 393, iter: 146120/160000, loss: 0.0494, lr: 0.000005, batch_cost: 1.2352, reader_cost: 0.00023, ips: 1.6191 samples/sec | ETA 04:45:44 2021-08-23 16:49:12 [INFO] [TRAIN] epoch: 393, iter: 146130/160000, loss: 0.0501, lr: 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[INFO] [TRAIN] epoch: 393, iter: 146190/160000, loss: 0.0565, lr: 0.000005, batch_cost: 1.1949, reader_cost: 0.00018, ips: 1.6737 samples/sec | ETA 04:35:02 2021-08-23 16:50:41 [INFO] [TRAIN] epoch: 394, iter: 146200/160000, loss: 0.0462, lr: 0.000005, batch_cost: 1.4842, reader_cost: 0.21824, ips: 1.3475 samples/sec | ETA 05:41:21 2021-08-23 16:50:53 [INFO] [TRAIN] epoch: 394, iter: 146210/160000, loss: 0.0380, lr: 0.000005, batch_cost: 1.2274, reader_cost: 0.00075, ips: 1.6294 samples/sec | ETA 04:42:06 2021-08-23 16:51:05 [INFO] [TRAIN] epoch: 394, iter: 146220/160000, loss: 0.0537, lr: 0.000005, batch_cost: 1.2133, reader_cost: 0.00023, ips: 1.6484 samples/sec | ETA 04:38:38 2021-08-23 16:51:17 [INFO] [TRAIN] epoch: 394, iter: 146230/160000, loss: 0.0500, lr: 0.000005, batch_cost: 1.2154, reader_cost: 0.00021, ips: 1.6455 samples/sec | ETA 04:38:56 2021-08-23 16:51:29 [INFO] [TRAIN] epoch: 394, iter: 146240/160000, loss: 0.0489, lr: 0.000005, batch_cost: 1.2290, reader_cost: 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samples/sec | ETA 04:32:51 2021-08-23 17:00:56 [INFO] [TRAIN] epoch: 395, iter: 146700/160000, loss: 0.0503, lr: 0.000005, batch_cost: 1.2339, reader_cost: 0.00023, ips: 1.6208 samples/sec | ETA 04:33:31 2021-08-23 17:01:08 [INFO] [TRAIN] epoch: 395, iter: 146710/160000, loss: 0.0396, lr: 0.000005, batch_cost: 1.2330, reader_cost: 0.00022, ips: 1.6221 samples/sec | ETA 04:33:06 2021-08-23 17:01:20 [INFO] [TRAIN] epoch: 395, iter: 146720/160000, loss: 0.0461, lr: 0.000005, batch_cost: 1.2421, reader_cost: 0.00022, ips: 1.6102 samples/sec | ETA 04:34:54 2021-08-23 17:01:33 [INFO] [TRAIN] epoch: 395, iter: 146730/160000, loss: 0.0521, lr: 0.000005, batch_cost: 1.2221, reader_cost: 0.00023, ips: 1.6366 samples/sec | ETA 04:30:16 2021-08-23 17:01:45 [INFO] [TRAIN] epoch: 395, iter: 146740/160000, loss: 0.0507, lr: 0.000005, batch_cost: 1.2271, reader_cost: 0.00023, ips: 1.6299 samples/sec | ETA 04:31:10 2021-08-23 17:01:57 [INFO] [TRAIN] epoch: 395, iter: 146750/160000, loss: 0.0559, lr: 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[INFO] [TRAIN] epoch: 395, iter: 146810/160000, loss: 0.0484, lr: 0.000005, batch_cost: 1.2265, reader_cost: 0.00021, ips: 1.6306 samples/sec | ETA 04:29:38 2021-08-23 17:03:23 [INFO] [TRAIN] epoch: 395, iter: 146820/160000, loss: 0.0570, lr: 0.000005, batch_cost: 1.2084, reader_cost: 0.00021, ips: 1.6551 samples/sec | ETA 04:25:26 2021-08-23 17:03:35 [INFO] [TRAIN] epoch: 395, iter: 146830/160000, loss: 0.0437, lr: 0.000005, batch_cost: 1.2073, reader_cost: 0.00020, ips: 1.6566 samples/sec | ETA 04:24:59 2021-08-23 17:03:47 [INFO] [TRAIN] epoch: 395, iter: 146840/160000, loss: 0.0506, lr: 0.000005, batch_cost: 1.2118, reader_cost: 0.00023, ips: 1.6504 samples/sec | ETA 04:25:47 2021-08-23 17:03:59 [INFO] [TRAIN] epoch: 395, iter: 146850/160000, loss: 0.0498, lr: 0.000005, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 04:27:03 2021-08-23 17:04:12 [INFO] [TRAIN] epoch: 395, iter: 146860/160000, loss: 0.0459, lr: 0.000005, batch_cost: 1.2264, reader_cost: 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04:21:45 2021-08-23 17:10:11 [INFO] [TRAIN] epoch: 396, iter: 147150/160000, loss: 0.0463, lr: 0.000005, batch_cost: 1.2422, reader_cost: 0.00022, ips: 1.6101 samples/sec | ETA 04:26:02 2021-08-23 17:10:24 [INFO] [TRAIN] epoch: 396, iter: 147160/160000, loss: 0.0565, lr: 0.000005, batch_cost: 1.2363, reader_cost: 0.00021, ips: 1.6178 samples/sec | ETA 04:24:33 2021-08-23 17:10:36 [INFO] [TRAIN] epoch: 396, iter: 147170/160000, loss: 0.0506, lr: 0.000005, batch_cost: 1.2287, reader_cost: 0.00022, ips: 1.6278 samples/sec | ETA 04:22:43 2021-08-23 17:10:48 [INFO] [TRAIN] epoch: 396, iter: 147180/160000, loss: 0.0408, lr: 0.000005, batch_cost: 1.2306, reader_cost: 0.00022, ips: 1.6252 samples/sec | ETA 04:22:56 2021-08-23 17:11:01 [INFO] [TRAIN] epoch: 396, iter: 147190/160000, loss: 0.0432, lr: 0.000005, batch_cost: 1.2332, reader_cost: 0.00022, ips: 1.6217 samples/sec | ETA 04:23:17 2021-08-23 17:11:13 [INFO] [TRAIN] epoch: 396, iter: 147200/160000, loss: 0.0489, lr: 0.000005, batch_cost: 1.2242, reader_cost: 0.00023, ips: 1.6338 samples/sec | ETA 04:21:09 2021-08-23 17:11:25 [INFO] [TRAIN] epoch: 396, iter: 147210/160000, loss: 0.0522, lr: 0.000005, batch_cost: 1.2201, reader_cost: 0.00021, ips: 1.6392 samples/sec | ETA 04:20:05 2021-08-23 17:11:38 [INFO] [TRAIN] epoch: 396, iter: 147220/160000, loss: 0.0452, lr: 0.000005, batch_cost: 1.2361, reader_cost: 0.00022, ips: 1.6180 samples/sec | ETA 04:23:16 2021-08-23 17:11:50 [INFO] [TRAIN] epoch: 396, iter: 147230/160000, loss: 0.0467, lr: 0.000005, batch_cost: 1.2297, reader_cost: 0.00021, ips: 1.6264 samples/sec | ETA 04:21:43 2021-08-23 17:12:02 [INFO] [TRAIN] epoch: 396, iter: 147240/160000, loss: 0.0671, lr: 0.000005, batch_cost: 1.2304, reader_cost: 0.00022, ips: 1.6254 samples/sec | ETA 04:21:40 2021-08-23 17:12:15 [INFO] [TRAIN] epoch: 396, iter: 147250/160000, loss: 0.0533, lr: 0.000005, batch_cost: 1.2403, reader_cost: 0.00022, ips: 1.6126 samples/sec | ETA 04:23:33 2021-08-23 17:12:27 [INFO] [TRAIN] epoch: 396, iter: 147260/160000, loss: 0.0466, lr: 0.000005, batch_cost: 1.2188, reader_cost: 0.00024, ips: 1.6410 samples/sec | ETA 04:18:47 2021-08-23 17:12:39 [INFO] [TRAIN] epoch: 396, iter: 147270/160000, loss: 0.0414, lr: 0.000005, batch_cost: 1.2202, reader_cost: 0.00022, ips: 1.6391 samples/sec | ETA 04:18:53 2021-08-23 17:12:51 [INFO] [TRAIN] epoch: 396, iter: 147280/160000, loss: 0.0522, lr: 0.000005, batch_cost: 1.2271, reader_cost: 0.00021, ips: 1.6299 samples/sec | ETA 04:20:08 2021-08-23 17:13:03 [INFO] [TRAIN] epoch: 396, iter: 147290/160000, loss: 0.0506, lr: 0.000005, batch_cost: 1.2116, reader_cost: 0.00021, ips: 1.6506 samples/sec | ETA 04:16:40 2021-08-23 17:13:16 [INFO] [TRAIN] epoch: 396, iter: 147300/160000, loss: 0.0461, lr: 0.000005, batch_cost: 1.2193, reader_cost: 0.00021, ips: 1.6403 samples/sec | ETA 04:18:05 2021-08-23 17:13:27 [INFO] [TRAIN] epoch: 396, iter: 147310/160000, loss: 0.0513, lr: 0.000005, batch_cost: 1.1820, reader_cost: 0.00016, ips: 1.6921 samples/sec | ETA 04:09:59 2021-08-23 17:13:42 [INFO] [TRAIN] epoch: 397, iter: 147320/160000, loss: 0.0491, lr: 0.000005, batch_cost: 1.4945, reader_cost: 0.22334, ips: 1.3382 samples/sec | ETA 05:15:50 2021-08-23 17:13:55 [INFO] [TRAIN] epoch: 397, iter: 147330/160000, loss: 0.0487, lr: 0.000005, batch_cost: 1.2421, reader_cost: 0.00084, ips: 1.6102 samples/sec | ETA 04:22:17 2021-08-23 17:14:07 [INFO] [TRAIN] epoch: 397, iter: 147340/160000, loss: 0.0408, lr: 0.000005, batch_cost: 1.2332, reader_cost: 0.00024, ips: 1.6218 samples/sec | ETA 04:20:12 2021-08-23 17:14:19 [INFO] [TRAIN] epoch: 397, iter: 147350/160000, loss: 0.0466, lr: 0.000005, batch_cost: 1.2239, reader_cost: 0.00023, ips: 1.6341 samples/sec | ETA 04:18:02 2021-08-23 17:14:31 [INFO] [TRAIN] epoch: 397, iter: 147360/160000, loss: 0.0601, lr: 0.000005, batch_cost: 1.2191, reader_cost: 0.00021, ips: 1.6405 samples/sec | ETA 04:16:49 2021-08-23 17:14:44 [INFO] [TRAIN] epoch: 397, iter: 147370/160000, loss: 0.0497, lr: 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[INFO] [TRAIN] epoch: 397, iter: 147430/160000, loss: 0.0436, lr: 0.000005, batch_cost: 1.2237, reader_cost: 0.00023, ips: 1.6344 samples/sec | ETA 04:16:21 2021-08-23 17:16:10 [INFO] [TRAIN] epoch: 397, iter: 147440/160000, loss: 0.0496, lr: 0.000005, batch_cost: 1.2150, reader_cost: 0.00020, ips: 1.6462 samples/sec | ETA 04:14:19 2021-08-23 17:16:22 [INFO] [TRAIN] epoch: 397, iter: 147450/160000, loss: 0.0489, lr: 0.000005, batch_cost: 1.2176, reader_cost: 0.00021, ips: 1.6426 samples/sec | ETA 04:14:40 2021-08-23 17:16:34 [INFO] [TRAIN] epoch: 397, iter: 147460/160000, loss: 0.0405, lr: 0.000005, batch_cost: 1.2263, reader_cost: 0.00023, ips: 1.6309 samples/sec | ETA 04:16:18 2021-08-23 17:16:46 [INFO] [TRAIN] epoch: 397, iter: 147470/160000, loss: 0.0467, lr: 0.000005, batch_cost: 1.2394, reader_cost: 0.00023, ips: 1.6137 samples/sec | ETA 04:18:49 2021-08-23 17:16:59 [INFO] [TRAIN] epoch: 397, iter: 147480/160000, loss: 0.0439, lr: 0.000005, batch_cost: 1.2224, reader_cost: 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reader_cost: 0.00024, ips: 1.6388 samples/sec | ETA 04:11:12 2021-08-23 17:20:40 [INFO] [TRAIN] epoch: 397, iter: 147660/160000, loss: 0.0478, lr: 0.000005, batch_cost: 1.2258, reader_cost: 0.00021, ips: 1.6316 samples/sec | ETA 04:12:06 2021-08-23 17:20:52 [INFO] [TRAIN] epoch: 397, iter: 147670/160000, loss: 0.0467, lr: 0.000005, batch_cost: 1.2298, reader_cost: 0.00020, ips: 1.6263 samples/sec | ETA 04:12:43 2021-08-23 17:21:04 [INFO] [TRAIN] epoch: 397, iter: 147680/160000, loss: 0.0480, lr: 0.000005, batch_cost: 1.2031, reader_cost: 0.00018, ips: 1.6623 samples/sec | ETA 04:07:02 2021-08-23 17:21:19 [INFO] [TRAIN] epoch: 398, iter: 147690/160000, loss: 0.0472, lr: 0.000005, batch_cost: 1.4902, reader_cost: 0.19436, ips: 1.3421 samples/sec | ETA 05:05:44 2021-08-23 17:21:31 [INFO] [TRAIN] epoch: 398, iter: 147700/160000, loss: 0.0513, lr: 0.000005, batch_cost: 1.2382, reader_cost: 0.00084, ips: 1.6153 samples/sec | ETA 04:13:49 2021-08-23 17:21:44 [INFO] [TRAIN] epoch: 398, iter: 147710/160000, loss: 0.0566, lr: 0.000005, batch_cost: 1.2354, reader_cost: 0.00076, ips: 1.6190 samples/sec | ETA 04:13:02 2021-08-23 17:21:56 [INFO] [TRAIN] epoch: 398, iter: 147720/160000, loss: 0.0420, lr: 0.000005, batch_cost: 1.2287, reader_cost: 0.00023, ips: 1.6277 samples/sec | ETA 04:11:28 2021-08-23 17:22:08 [INFO] [TRAIN] epoch: 398, iter: 147730/160000, loss: 0.0457, lr: 0.000005, batch_cost: 1.2226, reader_cost: 0.00020, ips: 1.6358 samples/sec | ETA 04:10:01 2021-08-23 17:22:20 [INFO] [TRAIN] epoch: 398, iter: 147740/160000, loss: 0.0507, lr: 0.000005, batch_cost: 1.2264, reader_cost: 0.00023, ips: 1.6308 samples/sec | ETA 04:10:35 2021-08-23 17:22:33 [INFO] [TRAIN] epoch: 398, iter: 147750/160000, loss: 0.0495, lr: 0.000005, batch_cost: 1.2296, reader_cost: 0.00022, ips: 1.6266 samples/sec | ETA 04:11:02 2021-08-23 17:22:45 [INFO] [TRAIN] epoch: 398, iter: 147760/160000, loss: 0.0463, lr: 0.000005, batch_cost: 1.2269, reader_cost: 0.00022, ips: 1.6302 samples/sec | ETA 04:10:16 2021-08-23 17:22:57 [INFO] [TRAIN] epoch: 398, iter: 147770/160000, loss: 0.0466, lr: 0.000005, batch_cost: 1.2328, reader_cost: 0.00021, ips: 1.6223 samples/sec | ETA 04:11:17 2021-08-23 17:23:09 [INFO] [TRAIN] epoch: 398, iter: 147780/160000, loss: 0.0500, lr: 0.000005, batch_cost: 1.2237, reader_cost: 0.00022, ips: 1.6344 samples/sec | ETA 04:09:13 2021-08-23 17:23:22 [INFO] [TRAIN] epoch: 398, iter: 147790/160000, loss: 0.0501, lr: 0.000005, batch_cost: 1.2209, reader_cost: 0.00022, ips: 1.6381 samples/sec | ETA 04:08:27 2021-08-23 17:23:34 [INFO] [TRAIN] epoch: 398, iter: 147800/160000, loss: 0.0525, lr: 0.000005, batch_cost: 1.2302, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 04:10:08 2021-08-23 17:23:46 [INFO] [TRAIN] epoch: 398, iter: 147810/160000, loss: 0.0461, lr: 0.000005, batch_cost: 1.2126, reader_cost: 0.00023, ips: 1.6494 samples/sec | ETA 04:06:21 2021-08-23 17:23:58 [INFO] [TRAIN] epoch: 398, iter: 147820/160000, loss: 0.0426, lr: 0.000005, batch_cost: 1.2408, reader_cost: 0.00022, ips: 1.6118 samples/sec | ETA 04:11:53 2021-08-23 17:24:11 [INFO] [TRAIN] epoch: 398, iter: 147830/160000, loss: 0.0462, lr: 0.000005, batch_cost: 1.2211, reader_cost: 0.00024, ips: 1.6379 samples/sec | ETA 04:07:40 2021-08-23 17:24:23 [INFO] [TRAIN] epoch: 398, iter: 147840/160000, loss: 0.0429, lr: 0.000005, batch_cost: 1.2227, reader_cost: 0.00022, ips: 1.6357 samples/sec | ETA 04:07:48 2021-08-23 17:24:35 [INFO] [TRAIN] epoch: 398, iter: 147850/160000, loss: 0.0532, lr: 0.000005, batch_cost: 1.2402, reader_cost: 0.00026, ips: 1.6127 samples/sec | ETA 04:11:08 2021-08-23 17:24:48 [INFO] [TRAIN] epoch: 398, iter: 147860/160000, loss: 0.0519, lr: 0.000005, batch_cost: 1.2330, reader_cost: 0.00021, ips: 1.6220 samples/sec | ETA 04:09:28 2021-08-23 17:25:00 [INFO] [TRAIN] epoch: 398, iter: 147870/160000, loss: 0.0432, lr: 0.000005, batch_cost: 1.2194, reader_cost: 0.00021, ips: 1.6402 samples/sec | ETA 04:06:31 2021-08-23 17:25:12 [INFO] [TRAIN] epoch: 398, iter: 147880/160000, loss: 0.0392, lr: 0.000005, batch_cost: 1.2232, reader_cost: 0.00022, ips: 1.6350 samples/sec | ETA 04:07:05 2021-08-23 17:25:24 [INFO] [TRAIN] epoch: 398, iter: 147890/160000, loss: 0.0473, lr: 0.000005, batch_cost: 1.2330, reader_cost: 0.00021, ips: 1.6220 samples/sec | ETA 04:08:52 2021-08-23 17:25:37 [INFO] [TRAIN] epoch: 398, iter: 147900/160000, loss: 0.0508, lr: 0.000005, batch_cost: 1.2330, reader_cost: 0.00084, ips: 1.6221 samples/sec | ETA 04:08:39 2021-08-23 17:25:49 [INFO] [TRAIN] epoch: 398, iter: 147910/160000, loss: 0.0447, lr: 0.000005, batch_cost: 1.2359, reader_cost: 0.00026, ips: 1.6183 samples/sec | ETA 04:09:01 2021-08-23 17:26:01 [INFO] [TRAIN] epoch: 398, iter: 147920/160000, loss: 0.0575, lr: 0.000005, batch_cost: 1.2154, reader_cost: 0.00021, ips: 1.6456 samples/sec | ETA 04:04:41 2021-08-23 17:26:13 [INFO] [TRAIN] epoch: 398, iter: 147930/160000, loss: 0.0501, lr: 0.000005, batch_cost: 1.2188, reader_cost: 0.00021, ips: 1.6409 samples/sec | ETA 04:05:11 2021-08-23 17:26:26 [INFO] [TRAIN] epoch: 398, iter: 147940/160000, loss: 0.0571, lr: 0.000005, batch_cost: 1.2498, reader_cost: 0.00024, ips: 1.6002 samples/sec | ETA 04:11:12 2021-08-23 17:26:38 [INFO] [TRAIN] epoch: 398, iter: 147950/160000, loss: 0.0529, lr: 0.000005, batch_cost: 1.2293, reader_cost: 0.00022, ips: 1.6270 samples/sec | ETA 04:06:52 2021-08-23 17:26:50 [INFO] [TRAIN] epoch: 398, iter: 147960/160000, loss: 0.0529, lr: 0.000005, batch_cost: 1.2183, reader_cost: 0.00020, ips: 1.6416 samples/sec | ETA 04:04:28 2021-08-23 17:27:03 [INFO] [TRAIN] epoch: 398, iter: 147970/160000, loss: 0.0484, lr: 0.000005, batch_cost: 1.2339, reader_cost: 0.00024, ips: 1.6209 samples/sec | ETA 04:07:23 2021-08-23 17:27:15 [INFO] [TRAIN] epoch: 398, iter: 147980/160000, loss: 0.0440, lr: 0.000005, batch_cost: 1.2184, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 04:04:05 2021-08-23 17:27:27 [INFO] [TRAIN] epoch: 398, iter: 147990/160000, loss: 0.0468, lr: 0.000005, batch_cost: 1.2217, reader_cost: 0.00021, ips: 1.6370 samples/sec | ETA 04:04:32 2021-08-23 17:27:40 [INFO] [TRAIN] epoch: 398, iter: 148000/160000, loss: 0.0438, lr: 0.000005, batch_cost: 1.2349, reader_cost: 0.00023, ips: 1.6195 samples/sec | ETA 04:06:59 2021-08-23 17:27:40 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 8:35 - batch_cost: 4.1535 - reader cost: 0.4654 2/125 [..............................] - ETA: 6:27 - batch_cost: 3.1488 - reader cost: 0.2328 3/125 [..............................] - ETA: 5:43 - batch_cost: 2.8117 - reader cost: 0.1553 4/125 [..............................] - ETA: 5:20 - batch_cost: 2.6519 - reader cost: 0.1165 5/125 [>.............................] - ETA: 5:07 - batch_cost: 2.5610 - reader cost: 0.0933 6/125 [>.............................] - ETA: 4:54 - batch_cost: 2.4734 - reader cost: 0.0777 7/125 [>.............................] - ETA: 4:45 - batch_cost: 2.4210 - reader cost: 0.0667 8/125 [>.............................] - ETA: 4:39 - batch_cost: 2.3856 - reader cost: 0.0584 9/125 [=>............................] - ETA: 4:33 - batch_cost: 2.3606 - reader cost: 0.0519 10/125 [=>............................] - ETA: 4:28 - batch_cost: 2.3351 - reader cost: 0.0467 11/125 [=>............................] - ETA: 4:23 - batch_cost: 2.3123 - reader cost: 0.0425 12/125 [=>............................] - ETA: 4:19 - batch_cost: 2.2955 - reader cost: 0.0390 13/125 [==>...........................] - ETA: 4:15 - batch_cost: 2.2810 - reader cost: 0.0360 14/125 [==>...........................] - ETA: 4:11 - batch_cost: 2.2673 - reader cost: 0.0334 15/125 [==>...........................] - ETA: 4:08 - batch_cost: 2.2576 - reader cost: 0.0312 16/125 [==>...........................] - ETA: 4:04 - batch_cost: 2.2463 - reader cost: 0.0293 17/125 [===>..........................] - ETA: 4:01 - batch_cost: 2.2366 - reader cost: 0.0276 18/125 [===>..........................] - ETA: 3:58 - batch_cost: 2.2242 - reader cost: 0.0260 19/125 [===>..........................] - ETA: 3:55 - batch_cost: 2.2209 - reader cost: 0.0247 20/125 [===>..........................] - ETA: 3:52 - batch_cost: 2.2120 - reader cost: 0.0235 21/125 [====>.........................] - ETA: 3:49 - batch_cost: 2.2056 - reader cost: 0.0224 22/125 [====>.........................] - ETA: 3:46 - batch_cost: 2.1994 - reader cost: 0.0213 23/125 [====>.........................] - ETA: 3:44 - batch_cost: 2.1964 - reader cost: 0.0204 24/125 [====>.........................] - ETA: 3:41 - batch_cost: 2.1929 - reader cost: 0.0196 25/125 [=====>........................] - ETA: 3:38 - batch_cost: 2.1890 - reader cost: 0.0188 26/125 [=====>........................] - ETA: 3:36 - batch_cost: 2.1861 - reader cost: 0.0181 27/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1825 - reader cost: 0.0174 28/125 [=====>........................] - ETA: 3:31 - batch_cost: 2.1785 - reader cost: 0.0168 29/125 [=====>........................] - ETA: 3:29 - batch_cost: 2.1768 - reader cost: 0.0162 30/125 [======>.......................] - ETA: 3:26 - batch_cost: 2.1726 - reader cost: 0.0157 31/125 [======>.......................] - ETA: 3:23 - batch_cost: 2.1693 - reader cost: 0.0152 32/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1672 - reader cost: 0.0147 33/125 [======>.......................] - ETA: 3:19 - batch_cost: 2.1654 - reader cost: 0.0143 34/125 [=======>......................] - ETA: 3:16 - batch_cost: 2.1633 - reader cost: 0.0139 35/125 [=======>......................] - ETA: 3:14 - batch_cost: 2.1623 - reader cost: 0.0135 36/125 [=======>......................] - ETA: 3:12 - batch_cost: 2.1614 - reader cost: 0.0131 37/125 [=======>......................] - ETA: 3:10 - batch_cost: 2.1610 - reader cost: 0.0128 38/125 [========>.....................] - ETA: 3:07 - batch_cost: 2.1600 - reader cost: 0.0124 39/125 [========>.....................] - ETA: 3:05 - batch_cost: 2.1581 - reader cost: 0.0121 40/125 [========>.....................] - ETA: 3:03 - batch_cost: 2.1563 - reader cost: 0.0118 41/125 [========>.....................] - ETA: 3:00 - batch_cost: 2.1544 - reader cost: 0.0115 42/125 [=========>....................] - ETA: 2:58 - batch_cost: 2.1535 - reader cost: 0.0113 43/125 [=========>....................] - ETA: 2:56 - batch_cost: 2.1513 - reader cost: 0.0110 44/125 [=========>....................] - ETA: 2:54 - batch_cost: 2.1499 - reader cost: 0.0108 45/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1482 - reader cost: 0.0105 46/125 [==========>...................] - ETA: 2:49 - batch_cost: 2.1471 - reader cost: 0.0103 47/125 [==========>...................] - ETA: 2:47 - batch_cost: 2.1460 - reader cost: 0.0101 48/125 [==========>...................] - ETA: 2:45 - batch_cost: 2.1450 - reader cost: 0.0099 49/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1442 - reader cost: 0.0097 50/125 [===========>..................] - ETA: 2:40 - batch_cost: 2.1429 - reader cost: 0.0095 51/125 [===========>..................] - ETA: 2:38 - batch_cost: 2.1418 - reader cost: 0.0093 52/125 [===========>..................] - ETA: 2:36 - batch_cost: 2.1410 - reader cost: 0.0091 53/125 [===========>..................] - ETA: 2:34 - batch_cost: 2.1399 - reader cost: 0.0090 54/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.1390 - reader cost: 0.0088 55/125 [============>.................] - ETA: 2:29 - batch_cost: 2.1387 - reader cost: 0.0087 56/125 [============>.................] - ETA: 2:27 - batch_cost: 2.1373 - reader cost: 0.0085 57/125 [============>.................] - ETA: 2:25 - batch_cost: 2.1359 - reader cost: 0.0084 58/125 [============>.................] - ETA: 2:23 - batch_cost: 2.1350 - reader cost: 0.0082 59/125 [=============>................] - ETA: 2:20 - batch_cost: 2.1333 - reader cost: 0.0081 60/125 [=============>................] - ETA: 2:18 - batch_cost: 2.1325 - reader cost: 0.0080 61/125 [=============>................] - ETA: 2:16 - batch_cost: 2.1322 - reader cost: 0.0078 62/125 [=============>................] - ETA: 2:14 - batch_cost: 2.1309 - reader cost: 0.0077 63/125 [==============>...............] - ETA: 2:12 - batch_cost: 2.1295 - reader cost: 0.0076 64/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.1283 - reader cost: 0.0075 65/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.1281 - reader cost: 0.0074 66/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.1269 - reader cost: 0.0072 67/125 [===============>..............] - ETA: 2:03 - batch_cost: 2.1258 - reader cost: 0.0071 68/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1252 - reader cost: 0.0070 69/125 [===============>..............] - ETA: 1:59 - batch_cost: 2.1255 - reader cost: 0.0069 70/125 [===============>..............] - ETA: 1:56 - batch_cost: 2.1245 - reader cost: 0.0068 71/125 [================>.............] - ETA: 1:54 - batch_cost: 2.1237 - reader cost: 0.0068 72/125 [================>.............] - ETA: 1:52 - batch_cost: 2.1238 - reader cost: 0.0067 73/125 [================>.............] - ETA: 1:50 - batch_cost: 2.1237 - reader cost: 0.0066 74/125 [================>.............] - ETA: 1:48 - batch_cost: 2.1232 - reader cost: 0.0065 75/125 [=================>............] - ETA: 1:46 - batch_cost: 2.1229 - reader cost: 0.0064 76/125 [=================>............] - ETA: 1:44 - batch_cost: 2.1223 - reader cost: 0.0063 77/125 [=================>............] - ETA: 1:41 - batch_cost: 2.1217 - reader cost: 0.0062 78/125 [=================>............] - ETA: 1:39 - batch_cost: 2.1220 - reader cost: 0.0062 79/125 [=================>............] - ETA: 1:37 - batch_cost: 2.1213 - reader cost: 0.0061 80/125 [==================>...........] - ETA: 1:35 - batch_cost: 2.1207 - reader cost: 0.0060 81/125 [==================>...........] - ETA: 1:33 - batch_cost: 2.1208 - reader cost: 0.0059 82/125 [==================>...........] - ETA: 1:31 - batch_cost: 2.1208 - reader cost: 0.0059 83/125 [==================>...........] - ETA: 1:29 - batch_cost: 2.1207 - reader cost: 0.0058 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1206 - reader cost: 0.0057 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1203 - reader cost: 0.0057 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1199 - reader cost: 0.0056 87/125 [===================>..........] - ETA: 1:20 - batch_cost: 2.1203 - reader cost: 0.0055 88/125 [====================>.........] - ETA: 1:18 - batch_cost: 2.1197 - reader cost: 0.0055 89/125 [====================>.........] - ETA: 1:16 - batch_cost: 2.1193 - reader cost: 0.0054 90/125 [====================>.........] - ETA: 1:14 - batch_cost: 2.1190 - reader cost: 0.0054 91/125 [====================>.........] - ETA: 1:12 - batch_cost: 2.1186 - reader cost: 0.0053 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1183 - reader cost: 0.0053 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1178 - reader cost: 0.0052 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1178 - reader cost: 0.0051 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1177 - reader cost: 0.0051 96/125 [======================>.......] - ETA: 1:01 - batch_cost: 2.1174 - reader cost: 0.0050 97/125 [======================>.......] - ETA: 59s - batch_cost: 2.1170 - reader cost: 0.0050  98/125 [======================>.......] - ETA: 57s - batch_cost: 2.1168 - reader cost: 0.0049 99/125 [======================>.......] - ETA: 55s - batch_cost: 2.1170 - reader cost: 0.0049 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.1168 - reader cost: 0.0049 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.1164 - reader cost: 0.0048 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1159 - reader cost: 0.0048 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1159 - reader cost: 0.0047 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1156 - reader cost: 0.0047 105/125 [========================>.....] - ETA: 42s - batch_cost: 2.1157 - reader cost: 0.0046 106/125 [========================>.....] - ETA: 40s - batch_cost: 2.1158 - reader cost: 0.0046 107/125 [========================>.....] - ETA: 38s - batch_cost: 2.1157 - reader cost: 0.0045 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.1154 - reader cost: 0.0045 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.1150 - reader cost: 0.0045 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.1149 - reader cost: 0.0044 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.1148 - reader cost: 0.0044 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.1143 - reader cost: 0.0044 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.1139 - reader cost: 0.0043 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.1139 - reader cost: 0.0043 115/125 [==========================>...] - ETA: 21s - batch_cost: 2.1139 - reader cost: 0.0042 116/125 [==========================>...] - ETA: 19s - batch_cost: 2.1139 - reader cost: 0.0042 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.1138 - reader cost: 0.0042 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.1134 - reader cost: 0.0041 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.1137 - reader cost: 0.0041 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.1134 - reader cost: 0.0041 121/125 [============================>.] - ETA: 8s - batch_cost: 2.1139 - reader cost: 0.0040  122/125 [============================>.] - ETA: 6s - batch_cost: 2.1138 - reader cost: 0.0040 123/125 [============================>.] - ETA: 4s - batch_cost: 2.1141 - reader cost: 0.0040 124/125 [============================>.] - ETA: 2s - batch_cost: 2.1140 - reader cost: 0.0040 125/125 [==============================] - 264s 2s/step - batch_cost: 2.1138 - reader cost: 0.0039 2021-08-23 17:32:04 [INFO] [EVAL] #Images: 500 mIoU: 0.8238 Acc: 0.9676 Kappa: 0.9579 2021-08-23 17:32:04 [INFO] [EVAL] Class IoU: [0.9842 0.8713 0.939 0.697 0.6672 0.7022 0.7591 0.8251 0.9326 0.6584 0.9574 0.8498 0.6762 0.9596 0.8785 0.9067 0.8651 0.7218 0.8013] 2021-08-23 17:32:04 [INFO] [EVAL] Class Acc: [0.9927 0.926 0.9658 0.887 0.8663 0.8486 0.8662 0.9126 0.9611 0.8352 0.973 0.9085 0.8077 0.9765 0.9589 0.9441 0.9615 0.8649 0.8747] 2021-08-23 17:32:06 [INFO] [EVAL] The model with the best validation mIoU (0.8245) was saved at iter 116000. 2021-08-23 17:32:19 [INFO] [TRAIN] epoch: 398, iter: 148010/160000, loss: 0.0485, lr: 0.000004, batch_cost: 1.2233, reader_cost: 0.00073, ips: 1.6350 samples/sec | ETA 04:04:27 2021-08-23 17:32:31 [INFO] [TRAIN] epoch: 398, iter: 148020/160000, loss: 0.0495, lr: 0.000004, batch_cost: 1.2124, reader_cost: 0.00075, ips: 1.6496 samples/sec | ETA 04:02:04 2021-08-23 17:32:43 [INFO] [TRAIN] epoch: 398, iter: 148030/160000, loss: 0.0519, lr: 0.000004, batch_cost: 1.2160, reader_cost: 0.00023, ips: 1.6447 samples/sec | ETA 04:02:35 2021-08-23 17:32:55 [INFO] [TRAIN] epoch: 398, iter: 148040/160000, loss: 0.0593, lr: 0.000004, batch_cost: 1.2160, reader_cost: 0.00021, ips: 1.6448 samples/sec | ETA 04:02:23 2021-08-23 17:33:07 [INFO] [TRAIN] epoch: 398, iter: 148050/160000, loss: 0.0504, lr: 0.000004, batch_cost: 1.2301, reader_cost: 0.00018, ips: 1.6259 samples/sec | ETA 04:04:59 2021-08-23 17:33:22 [INFO] [TRAIN] epoch: 399, iter: 148060/160000, loss: 0.0483, lr: 0.000004, batch_cost: 1.4978, reader_cost: 0.21834, ips: 1.3353 samples/sec | ETA 04:58:03 2021-08-23 17:33:35 [INFO] [TRAIN] epoch: 399, iter: 148070/160000, loss: 0.0491, lr: 0.000004, batch_cost: 1.2333, reader_cost: 0.00075, ips: 1.6216 samples/sec | ETA 04:05:13 2021-08-23 17:33:47 [INFO] [TRAIN] epoch: 399, iter: 148080/160000, loss: 0.0525, lr: 0.000004, batch_cost: 1.2303, reader_cost: 0.00023, ips: 1.6256 samples/sec | ETA 04:04:25 2021-08-23 17:33:59 [INFO] [TRAIN] epoch: 399, iter: 148090/160000, loss: 0.0440, lr: 0.000004, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6329 samples/sec | ETA 04:03:07 2021-08-23 17:34:11 [INFO] [TRAIN] epoch: 399, iter: 148100/160000, loss: 0.0478, lr: 0.000004, batch_cost: 1.2141, reader_cost: 0.00022, ips: 1.6474 samples/sec | ETA 04:00:47 2021-08-23 17:34:24 [INFO] [TRAIN] epoch: 399, iter: 148110/160000, loss: 0.0468, lr: 0.000004, batch_cost: 1.2263, reader_cost: 0.00023, ips: 1.6309 samples/sec | ETA 04:03:00 2021-08-23 17:34:36 [INFO] [TRAIN] epoch: 399, iter: 148120/160000, loss: 0.0611, lr: 0.000004, batch_cost: 1.2146, reader_cost: 0.00022, ips: 1.6467 samples/sec | ETA 04:00:29 2021-08-23 17:34:48 [INFO] [TRAIN] epoch: 399, iter: 148130/160000, loss: 0.0415, lr: 0.000004, batch_cost: 1.2191, reader_cost: 0.00022, ips: 1.6406 samples/sec | ETA 04:01:10 2021-08-23 17:35:00 [INFO] [TRAIN] epoch: 399, iter: 148140/160000, loss: 0.0461, lr: 0.000004, batch_cost: 1.2315, reader_cost: 0.00023, ips: 1.6240 samples/sec | ETA 04:03:25 2021-08-23 17:35:13 [INFO] [TRAIN] epoch: 399, iter: 148150/160000, loss: 0.0481, lr: 0.000004, batch_cost: 1.2253, reader_cost: 0.00021, ips: 1.6322 samples/sec | ETA 04:02:00 2021-08-23 17:35:25 [INFO] [TRAIN] epoch: 399, iter: 148160/160000, loss: 0.0506, lr: 0.000004, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6369 samples/sec | ETA 04:01:06 2021-08-23 17:35:37 [INFO] [TRAIN] epoch: 399, iter: 148170/160000, loss: 0.0513, lr: 0.000004, batch_cost: 1.2262, reader_cost: 0.00022, ips: 1.6310 samples/sec | ETA 04:01:46 2021-08-23 17:35:49 [INFO] [TRAIN] epoch: 399, iter: 148180/160000, loss: 0.0419, lr: 0.000004, batch_cost: 1.2303, reader_cost: 0.00023, ips: 1.6256 samples/sec | ETA 04:02:22 2021-08-23 17:36:02 [INFO] [TRAIN] epoch: 399, iter: 148190/160000, loss: 0.0486, lr: 0.000004, batch_cost: 1.2358, reader_cost: 0.00023, ips: 1.6184 samples/sec | ETA 04:03:14 2021-08-23 17:36:14 [INFO] [TRAIN] epoch: 399, iter: 148200/160000, loss: 0.0459, lr: 0.000004, batch_cost: 1.2221, reader_cost: 0.00021, ips: 1.6365 samples/sec | ETA 04:00:20 2021-08-23 17:36:26 [INFO] [TRAIN] epoch: 399, iter: 148210/160000, loss: 0.0508, lr: 0.000004, batch_cost: 1.2299, reader_cost: 0.00022, ips: 1.6262 samples/sec | ETA 04:01:40 2021-08-23 17:36:39 [INFO] [TRAIN] epoch: 399, iter: 148220/160000, loss: 0.0468, lr: 0.000004, batch_cost: 1.2319, reader_cost: 0.00021, ips: 1.6235 samples/sec | ETA 04:01:51 2021-08-23 17:36:51 [INFO] [TRAIN] epoch: 399, iter: 148230/160000, loss: 0.0440, lr: 0.000004, batch_cost: 1.2127, reader_cost: 0.00021, ips: 1.6492 samples/sec | ETA 03:57:53 2021-08-23 17:37:03 [INFO] [TRAIN] epoch: 399, iter: 148240/160000, loss: 0.0415, lr: 0.000004, batch_cost: 1.2402, reader_cost: 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loss: 0.0503, lr: 0.000004, batch_cost: 1.2264, reader_cost: 0.00024, ips: 1.6308 samples/sec | ETA 03:59:08 2021-08-23 17:38:29 [INFO] [TRAIN] epoch: 399, iter: 148310/160000, loss: 0.0499, lr: 0.000004, batch_cost: 1.2291, reader_cost: 0.00022, ips: 1.6272 samples/sec | ETA 03:59:28 2021-08-23 17:38:41 [INFO] [TRAIN] epoch: 399, iter: 148320/160000, loss: 0.0547, lr: 0.000004, batch_cost: 1.2345, reader_cost: 0.00023, ips: 1.6201 samples/sec | ETA 04:00:19 2021-08-23 17:38:54 [INFO] [TRAIN] epoch: 399, iter: 148330/160000, loss: 0.0445, lr: 0.000004, batch_cost: 1.2311, reader_cost: 0.00023, ips: 1.6246 samples/sec | ETA 03:59:26 2021-08-23 17:39:06 [INFO] [TRAIN] epoch: 399, iter: 148340/160000, loss: 0.0464, lr: 0.000004, batch_cost: 1.2420, reader_cost: 0.00022, ips: 1.6103 samples/sec | ETA 04:01:22 2021-08-23 17:39:18 [INFO] [TRAIN] epoch: 399, iter: 148350/160000, loss: 0.0539, lr: 0.000004, batch_cost: 1.2322, reader_cost: 0.00022, ips: 1.6231 samples/sec | ETA 03:59:14 2021-08-23 17:39:31 [INFO] [TRAIN] epoch: 399, iter: 148360/160000, loss: 0.0404, lr: 0.000004, batch_cost: 1.2531, reader_cost: 0.00021, ips: 1.5960 samples/sec | ETA 04:03:06 2021-08-23 17:39:43 [INFO] [TRAIN] epoch: 399, iter: 148370/160000, loss: 0.0507, lr: 0.000004, batch_cost: 1.2395, reader_cost: 0.00025, ips: 1.6135 samples/sec | ETA 04:00:15 2021-08-23 17:39:56 [INFO] [TRAIN] epoch: 399, iter: 148380/160000, loss: 0.0498, lr: 0.000004, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 03:57:32 2021-08-23 17:40:08 [INFO] [TRAIN] epoch: 399, iter: 148390/160000, loss: 0.0490, lr: 0.000004, batch_cost: 1.2392, reader_cost: 0.00025, ips: 1.6140 samples/sec | ETA 03:59:46 2021-08-23 17:40:20 [INFO] [TRAIN] epoch: 399, iter: 148400/160000, loss: 0.0498, lr: 0.000004, batch_cost: 1.2290, reader_cost: 0.00023, ips: 1.6273 samples/sec | ETA 03:57:36 2021-08-23 17:40:33 [INFO] [TRAIN] epoch: 399, iter: 148410/160000, loss: 0.0473, lr: 0.000004, batch_cost: 1.2350, 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148470/160000, loss: 0.0456, lr: 0.000004, batch_cost: 1.2198, reader_cost: 0.00023, ips: 1.6397 samples/sec | ETA 03:54:23 2021-08-23 17:42:01 [INFO] [TRAIN] epoch: 400, iter: 148480/160000, loss: 0.0540, lr: 0.000004, batch_cost: 1.2144, reader_cost: 0.00021, ips: 1.6469 samples/sec | ETA 03:53:10 2021-08-23 17:42:13 [INFO] [TRAIN] epoch: 400, iter: 148490/160000, loss: 0.0478, lr: 0.000004, batch_cost: 1.2366, reader_cost: 0.00022, ips: 1.6174 samples/sec | ETA 03:57:13 2021-08-23 17:42:26 [INFO] [TRAIN] epoch: 400, iter: 148500/160000, loss: 0.0461, lr: 0.000004, batch_cost: 1.2143, reader_cost: 0.00021, ips: 1.6471 samples/sec | ETA 03:52:44 2021-08-23 17:42:38 [INFO] [TRAIN] epoch: 400, iter: 148510/160000, loss: 0.0424, lr: 0.000004, batch_cost: 1.2139, reader_cost: 0.00022, ips: 1.6476 samples/sec | ETA 03:52:27 2021-08-23 17:42:50 [INFO] [TRAIN] epoch: 400, iter: 148520/160000, loss: 0.0510, lr: 0.000004, batch_cost: 1.2171, reader_cost: 0.00021, ips: 1.6432 samples/sec | ETA 03:52:52 2021-08-23 17:43:02 [INFO] [TRAIN] epoch: 400, iter: 148530/160000, loss: 0.0496, lr: 0.000004, batch_cost: 1.2432, reader_cost: 0.00022, ips: 1.6088 samples/sec | ETA 03:57:39 2021-08-23 17:43:15 [INFO] [TRAIN] epoch: 400, iter: 148540/160000, loss: 0.0582, lr: 0.000004, batch_cost: 1.2446, reader_cost: 0.00023, ips: 1.6069 samples/sec | ETA 03:57:43 2021-08-23 17:43:27 [INFO] [TRAIN] epoch: 400, iter: 148550/160000, loss: 0.0535, lr: 0.000004, batch_cost: 1.2196, reader_cost: 0.00022, ips: 1.6399 samples/sec | ETA 03:52:44 2021-08-23 17:43:39 [INFO] [TRAIN] epoch: 400, iter: 148560/160000, loss: 0.0563, lr: 0.000004, batch_cost: 1.2488, reader_cost: 0.00023, ips: 1.6015 samples/sec | ETA 03:58:06 2021-08-23 17:43:52 [INFO] [TRAIN] epoch: 400, iter: 148570/160000, loss: 0.0408, lr: 0.000004, batch_cost: 1.2241, reader_cost: 0.00021, ips: 1.6338 samples/sec | ETA 03:53:12 2021-08-23 17:44:04 [INFO] [TRAIN] epoch: 400, iter: 148580/160000, loss: 0.0528, lr: 0.000004, batch_cost: 1.2149, reader_cost: 0.00021, ips: 1.6462 samples/sec | ETA 03:51:14 2021-08-23 17:44:16 [INFO] [TRAIN] epoch: 400, iter: 148590/160000, loss: 0.0479, lr: 0.000004, batch_cost: 1.2399, reader_cost: 0.00025, ips: 1.6130 samples/sec | ETA 03:55:47 2021-08-23 17:44:28 [INFO] [TRAIN] epoch: 400, iter: 148600/160000, loss: 0.0412, lr: 0.000004, batch_cost: 1.2136, reader_cost: 0.00021, ips: 1.6480 samples/sec | ETA 03:50:35 2021-08-23 17:44:41 [INFO] [TRAIN] epoch: 400, iter: 148610/160000, loss: 0.0427, lr: 0.000004, batch_cost: 1.2350, reader_cost: 0.00023, ips: 1.6194 samples/sec | ETA 03:54:27 2021-08-23 17:44:53 [INFO] [TRAIN] epoch: 400, iter: 148620/160000, loss: 0.0520, lr: 0.000004, batch_cost: 1.2328, reader_cost: 0.00021, ips: 1.6223 samples/sec | ETA 03:53:49 2021-08-23 17:45:05 [INFO] [TRAIN] epoch: 400, iter: 148630/160000, loss: 0.0464, lr: 0.000004, batch_cost: 1.2166, reader_cost: 0.00021, ips: 1.6439 samples/sec | ETA 03:50:32 2021-08-23 17:45:17 [INFO] [TRAIN] epoch: 400, iter: 148640/160000, loss: 0.0429, lr: 0.000004, batch_cost: 1.2201, reader_cost: 0.00022, ips: 1.6392 samples/sec | ETA 03:51:00 2021-08-23 17:45:30 [INFO] [TRAIN] epoch: 400, iter: 148650/160000, loss: 0.0505, lr: 0.000004, batch_cost: 1.2208, reader_cost: 0.00022, ips: 1.6383 samples/sec | ETA 03:50:55 2021-08-23 17:45:42 [INFO] [TRAIN] epoch: 400, iter: 148660/160000, loss: 0.0471, lr: 0.000004, batch_cost: 1.2309, reader_cost: 0.00022, ips: 1.6249 samples/sec | ETA 03:52:38 2021-08-23 17:45:54 [INFO] [TRAIN] epoch: 400, iter: 148670/160000, loss: 0.0448, lr: 0.000004, batch_cost: 1.2077, reader_cost: 0.00022, ips: 1.6560 samples/sec | ETA 03:48:03 2021-08-23 17:46:06 [INFO] [TRAIN] epoch: 400, iter: 148680/160000, loss: 0.0529, lr: 0.000004, batch_cost: 1.2205, reader_cost: 0.00025, ips: 1.6386 samples/sec | ETA 03:50:16 2021-08-23 17:46:18 [INFO] [TRAIN] epoch: 400, iter: 148690/160000, loss: 0.0513, lr: 0.000004, batch_cost: 1.2258, reader_cost: 0.00024, ips: 1.6316 samples/sec | ETA 03:51:03 2021-08-23 17:46:31 [INFO] [TRAIN] epoch: 400, iter: 148700/160000, loss: 0.0416, lr: 0.000004, batch_cost: 1.2242, reader_cost: 0.00022, ips: 1.6337 samples/sec | ETA 03:50:33 2021-08-23 17:46:43 [INFO] [TRAIN] epoch: 400, iter: 148710/160000, loss: 0.0470, lr: 0.000004, batch_cost: 1.2184, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 03:49:16 2021-08-23 17:46:55 [INFO] [TRAIN] epoch: 400, iter: 148720/160000, loss: 0.0458, lr: 0.000004, batch_cost: 1.2212, reader_cost: 0.00024, ips: 1.6378 samples/sec | ETA 03:49:34 2021-08-23 17:47:07 [INFO] [TRAIN] epoch: 400, iter: 148730/160000, loss: 0.0544, lr: 0.000004, batch_cost: 1.2384, reader_cost: 0.00022, ips: 1.6150 samples/sec | ETA 03:52:36 2021-08-23 17:47:20 [INFO] [TRAIN] epoch: 400, iter: 148740/160000, loss: 0.0487, lr: 0.000004, batch_cost: 1.2429, reader_cost: 0.00021, ips: 1.6091 samples/sec | ETA 03:53:15 2021-08-23 17:47:32 [INFO] [TRAIN] epoch: 400, iter: 148750/160000, loss: 0.0451, lr: 0.000004, batch_cost: 1.2421, reader_cost: 0.00021, ips: 1.6102 samples/sec | ETA 03:52:53 2021-08-23 17:47:45 [INFO] [TRAIN] epoch: 400, iter: 148760/160000, loss: 0.0463, lr: 0.000004, batch_cost: 1.2287, reader_cost: 0.00022, ips: 1.6278 samples/sec | ETA 03:50:10 2021-08-23 17:47:57 [INFO] [TRAIN] epoch: 400, iter: 148770/160000, loss: 0.0472, lr: 0.000004, batch_cost: 1.2234, reader_cost: 0.00023, ips: 1.6348 samples/sec | ETA 03:48:58 2021-08-23 17:48:09 [INFO] [TRAIN] epoch: 400, iter: 148780/160000, loss: 0.0469, lr: 0.000004, batch_cost: 1.2151, reader_cost: 0.00020, ips: 1.6460 samples/sec | ETA 03:47:12 2021-08-23 17:48:21 [INFO] [TRAIN] epoch: 400, iter: 148790/160000, loss: 0.0500, lr: 0.000004, batch_cost: 1.2202, reader_cost: 0.00020, ips: 1.6391 samples/sec | ETA 03:47:58 2021-08-23 17:48:33 [INFO] [TRAIN] epoch: 400, iter: 148800/160000, loss: 0.0512, lr: 0.000004, batch_cost: 1.1888, reader_cost: 0.00015, ips: 1.6824 samples/sec | ETA 03:41:54 2021-08-23 17:48:48 [INFO] [TRAIN] epoch: 401, iter: 148810/160000, loss: 0.0509, lr: 0.000004, batch_cost: 1.4835, reader_cost: 0.20650, ips: 1.3481 samples/sec | ETA 04:36:40 2021-08-23 17:49:00 [INFO] [TRAIN] epoch: 401, iter: 148820/160000, loss: 0.0570, lr: 0.000004, batch_cost: 1.2185, reader_cost: 0.00078, ips: 1.6413 samples/sec | ETA 03:47:02 2021-08-23 17:49:12 [INFO] [TRAIN] epoch: 401, iter: 148830/160000, loss: 0.0410, lr: 0.000004, batch_cost: 1.2252, reader_cost: 0.00023, ips: 1.6324 samples/sec | ETA 03:48:05 2021-08-23 17:49:25 [INFO] [TRAIN] epoch: 401, iter: 148840/160000, loss: 0.0453, lr: 0.000004, batch_cost: 1.2257, reader_cost: 0.00023, ips: 1.6317 samples/sec | ETA 03:47:59 2021-08-23 17:49:37 [INFO] [TRAIN] epoch: 401, iter: 148850/160000, loss: 0.0437, lr: 0.000004, batch_cost: 1.2541, reader_cost: 0.00026, ips: 1.5948 samples/sec | ETA 03:53:02 2021-08-23 17:49:49 [INFO] [TRAIN] epoch: 401, iter: 148860/160000, loss: 0.0504, lr: 0.000004, batch_cost: 1.2301, reader_cost: 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loss: 0.0481, lr: 0.000004, batch_cost: 1.2418, reader_cost: 0.00023, ips: 1.6106 samples/sec | ETA 03:49:18 2021-08-23 17:51:15 [INFO] [TRAIN] epoch: 401, iter: 148930/160000, loss: 0.0475, lr: 0.000004, batch_cost: 1.2295, reader_cost: 0.00022, ips: 1.6266 samples/sec | ETA 03:46:50 2021-08-23 17:51:28 [INFO] [TRAIN] epoch: 401, iter: 148940/160000, loss: 0.0478, lr: 0.000004, batch_cost: 1.2250, reader_cost: 0.00021, ips: 1.6327 samples/sec | ETA 03:45:48 2021-08-23 17:51:40 [INFO] [TRAIN] epoch: 401, iter: 148950/160000, loss: 0.0398, lr: 0.000004, batch_cost: 1.2190, reader_cost: 0.00022, ips: 1.6407 samples/sec | ETA 03:44:29 2021-08-23 17:51:52 [INFO] [TRAIN] epoch: 401, iter: 148960/160000, loss: 0.0469, lr: 0.000004, batch_cost: 1.2317, reader_cost: 0.00023, ips: 1.6237 samples/sec | ETA 03:46:38 2021-08-23 17:52:04 [INFO] [TRAIN] epoch: 401, iter: 148970/160000, loss: 0.0556, lr: 0.000004, batch_cost: 1.2181, reader_cost: 0.00023, ips: 1.6419 samples/sec | ETA 03:43:55 2021-08-23 17:52:16 [INFO] [TRAIN] epoch: 401, iter: 148980/160000, loss: 0.0452, lr: 0.000004, batch_cost: 1.2181, reader_cost: 0.00022, ips: 1.6420 samples/sec | ETA 03:43:42 2021-08-23 17:52:29 [INFO] [TRAIN] epoch: 401, iter: 148990/160000, loss: 0.0451, lr: 0.000004, batch_cost: 1.2282, reader_cost: 0.00022, ips: 1.6284 samples/sec | ETA 03:45:22 2021-08-23 17:52:41 [INFO] [TRAIN] epoch: 401, iter: 149000/160000, loss: 0.0495, lr: 0.000004, batch_cost: 1.2320, reader_cost: 0.00024, ips: 1.6234 samples/sec | ETA 03:45:51 2021-08-23 17:52:53 [INFO] [TRAIN] epoch: 401, iter: 149010/160000, loss: 0.0479, lr: 0.000004, batch_cost: 1.2314, reader_cost: 0.00022, ips: 1.6241 samples/sec | ETA 03:45:33 2021-08-23 17:53:06 [INFO] [TRAIN] epoch: 401, iter: 149020/160000, loss: 0.0552, lr: 0.000004, batch_cost: 1.2388, reader_cost: 0.00022, ips: 1.6144 samples/sec | ETA 03:46:42 2021-08-23 17:53:18 [INFO] [TRAIN] epoch: 401, iter: 149030/160000, loss: 0.0489, lr: 0.000004, batch_cost: 1.2131, 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03:41:09 2021-08-23 17:55:45 [INFO] [TRAIN] epoch: 401, iter: 149150/160000, loss: 0.0411, lr: 0.000004, batch_cost: 1.2279, reader_cost: 0.00021, ips: 1.6288 samples/sec | ETA 03:42:02 2021-08-23 17:55:57 [INFO] [TRAIN] epoch: 401, iter: 149160/160000, loss: 0.0416, lr: 0.000004, batch_cost: 1.2265, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 03:41:35 2021-08-23 17:56:09 [INFO] [TRAIN] epoch: 401, iter: 149170/160000, loss: 0.0486, lr: 0.000004, batch_cost: 1.1853, reader_cost: 0.00019, ips: 1.6873 samples/sec | ETA 03:33:57 2021-08-23 17:56:24 [INFO] [TRAIN] epoch: 402, iter: 149180/160000, loss: 0.0464, lr: 0.000004, batch_cost: 1.4886, reader_cost: 0.18910, ips: 1.3435 samples/sec | ETA 04:28:26 2021-08-23 17:56:36 [INFO] [TRAIN] epoch: 402, iter: 149190/160000, loss: 0.0487, lr: 0.000004, batch_cost: 1.2418, reader_cost: 0.00082, ips: 1.6105 samples/sec | ETA 03:43:44 2021-08-23 17:56:48 [INFO] [TRAIN] epoch: 402, iter: 149200/160000, loss: 0.0451, lr: 0.000004, batch_cost: 1.2277, reader_cost: 0.00023, ips: 1.6291 samples/sec | ETA 03:40:59 2021-08-23 17:57:01 [INFO] [TRAIN] epoch: 402, iter: 149210/160000, loss: 0.0457, lr: 0.000004, batch_cost: 1.2247, reader_cost: 0.00021, ips: 1.6331 samples/sec | ETA 03:40:14 2021-08-23 17:57:13 [INFO] [TRAIN] epoch: 402, iter: 149220/160000, loss: 0.0384, lr: 0.000004, batch_cost: 1.2174, reader_cost: 0.00024, ips: 1.6429 samples/sec | ETA 03:38:43 2021-08-23 17:57:25 [INFO] [TRAIN] epoch: 402, iter: 149230/160000, loss: 0.0366, lr: 0.000004, batch_cost: 1.2206, reader_cost: 0.00022, ips: 1.6385 samples/sec | ETA 03:39:05 2021-08-23 17:57:37 [INFO] [TRAIN] epoch: 402, iter: 149240/160000, loss: 0.0507, lr: 0.000004, batch_cost: 1.2261, reader_cost: 0.00022, ips: 1.6311 samples/sec | ETA 03:39:53 2021-08-23 17:57:50 [INFO] [TRAIN] epoch: 402, iter: 149250/160000, loss: 0.0424, lr: 0.000004, batch_cost: 1.2230, reader_cost: 0.00022, ips: 1.6354 samples/sec | ETA 03:39:07 2021-08-23 17:58:02 [INFO] [TRAIN] epoch: 402, iter: 149260/160000, loss: 0.0408, lr: 0.000004, batch_cost: 1.2300, reader_cost: 0.00021, ips: 1.6260 samples/sec | ETA 03:40:10 2021-08-23 17:58:14 [INFO] [TRAIN] epoch: 402, iter: 149270/160000, loss: 0.0609, lr: 0.000004, batch_cost: 1.2399, reader_cost: 0.00022, ips: 1.6130 samples/sec | ETA 03:41:44 2021-08-23 17:58:27 [INFO] [TRAIN] epoch: 402, iter: 149280/160000, loss: 0.0446, lr: 0.000004, batch_cost: 1.2426, reader_cost: 0.00021, ips: 1.6095 samples/sec | ETA 03:42:00 2021-08-23 17:58:39 [INFO] [TRAIN] epoch: 402, iter: 149290/160000, loss: 0.0520, lr: 0.000004, batch_cost: 1.2178, reader_cost: 0.00022, ips: 1.6423 samples/sec | ETA 03:37:22 2021-08-23 17:58:51 [INFO] [TRAIN] epoch: 402, iter: 149300/160000, loss: 0.0514, lr: 0.000004, batch_cost: 1.2154, reader_cost: 0.00022, ips: 1.6456 samples/sec | ETA 03:36:44 2021-08-23 17:59:03 [INFO] [TRAIN] epoch: 402, iter: 149310/160000, loss: 0.0369, lr: 0.000004, batch_cost: 1.2325, reader_cost: 0.00022, ips: 1.6227 samples/sec | ETA 03:39:35 2021-08-23 17:59:16 [INFO] [TRAIN] epoch: 402, iter: 149320/160000, loss: 0.0425, lr: 0.000004, batch_cost: 1.2329, reader_cost: 0.00021, ips: 1.6221 samples/sec | ETA 03:39:27 2021-08-23 17:59:28 [INFO] [TRAIN] epoch: 402, iter: 149330/160000, loss: 0.0366, lr: 0.000004, batch_cost: 1.2234, reader_cost: 0.00022, ips: 1.6348 samples/sec | ETA 03:37:33 2021-08-23 17:59:40 [INFO] [TRAIN] epoch: 402, iter: 149340/160000, loss: 0.0480, lr: 0.000004, batch_cost: 1.2261, reader_cost: 0.00022, ips: 1.6312 samples/sec | ETA 03:37:50 2021-08-23 17:59:53 [INFO] [TRAIN] epoch: 402, iter: 149350/160000, loss: 0.0491, lr: 0.000004, batch_cost: 1.2299, reader_cost: 0.00021, ips: 1.6262 samples/sec | ETA 03:38:17 2021-08-23 18:00:05 [INFO] [TRAIN] epoch: 402, iter: 149360/160000, loss: 0.0453, lr: 0.000004, batch_cost: 1.2114, reader_cost: 0.00020, ips: 1.6510 samples/sec | ETA 03:34:48 2021-08-23 18:00:17 [INFO] [TRAIN] epoch: 402, iter: 149370/160000, loss: 0.0408, lr: 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[INFO] [TRAIN] epoch: 402, iter: 149430/160000, loss: 0.0586, lr: 0.000004, batch_cost: 1.2162, reader_cost: 0.00023, ips: 1.6445 samples/sec | ETA 03:34:15 2021-08-23 18:01:43 [INFO] [TRAIN] epoch: 402, iter: 149440/160000, loss: 0.0439, lr: 0.000004, batch_cost: 1.2289, reader_cost: 0.00025, ips: 1.6275 samples/sec | ETA 03:36:16 2021-08-23 18:01:55 [INFO] [TRAIN] epoch: 402, iter: 149450/160000, loss: 0.0474, lr: 0.000004, batch_cost: 1.2326, reader_cost: 0.00021, ips: 1.6225 samples/sec | ETA 03:36:44 2021-08-23 18:02:07 [INFO] [TRAIN] epoch: 402, iter: 149460/160000, loss: 0.0429, lr: 0.000004, batch_cost: 1.2279, reader_cost: 0.00021, ips: 1.6288 samples/sec | ETA 03:35:41 2021-08-23 18:02:20 [INFO] [TRAIN] epoch: 402, iter: 149470/160000, loss: 0.0479, lr: 0.000004, batch_cost: 1.2322, reader_cost: 0.00022, ips: 1.6231 samples/sec | ETA 03:36:14 2021-08-23 18:02:32 [INFO] [TRAIN] epoch: 402, iter: 149480/160000, loss: 0.0404, lr: 0.000004, batch_cost: 1.2391, reader_cost: 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03:27:54 2021-08-23 18:08:30 [INFO] [TRAIN] epoch: 403, iter: 149770/160000, loss: 0.0521, lr: 0.000004, batch_cost: 1.2251, reader_cost: 0.00022, ips: 1.6325 samples/sec | ETA 03:28:52 2021-08-23 18:08:42 [INFO] [TRAIN] epoch: 403, iter: 149780/160000, loss: 0.0476, lr: 0.000004, batch_cost: 1.2213, reader_cost: 0.00023, ips: 1.6376 samples/sec | ETA 03:28:01 2021-08-23 18:08:54 [INFO] [TRAIN] epoch: 403, iter: 149790/160000, loss: 0.0539, lr: 0.000004, batch_cost: 1.2091, reader_cost: 0.00023, ips: 1.6541 samples/sec | ETA 03:25:44 2021-08-23 18:09:06 [INFO] [TRAIN] epoch: 403, iter: 149800/160000, loss: 0.0551, lr: 0.000004, batch_cost: 1.2293, reader_cost: 0.00022, ips: 1.6269 samples/sec | ETA 03:28:59 2021-08-23 18:09:18 [INFO] [TRAIN] epoch: 403, iter: 149810/160000, loss: 0.0543, lr: 0.000004, batch_cost: 1.2236, reader_cost: 0.00023, ips: 1.6346 samples/sec | ETA 03:27:48 2021-08-23 18:09:30 [INFO] [TRAIN] epoch: 403, iter: 149820/160000, loss: 0.0561, lr: 0.000004, batch_cost: 1.2073, reader_cost: 0.00022, ips: 1.6566 samples/sec | ETA 03:24:50 2021-08-23 18:09:43 [INFO] [TRAIN] epoch: 403, iter: 149830/160000, loss: 0.0394, lr: 0.000004, batch_cost: 1.2212, reader_cost: 0.00023, ips: 1.6377 samples/sec | ETA 03:26:59 2021-08-23 18:09:55 [INFO] [TRAIN] epoch: 403, iter: 149840/160000, loss: 0.0457, lr: 0.000004, batch_cost: 1.2187, reader_cost: 0.00020, ips: 1.6410 samples/sec | ETA 03:26:22 2021-08-23 18:10:07 [INFO] [TRAIN] epoch: 403, iter: 149850/160000, loss: 0.0357, lr: 0.000004, batch_cost: 1.2174, reader_cost: 0.00021, ips: 1.6428 samples/sec | ETA 03:25:56 2021-08-23 18:10:19 [INFO] [TRAIN] epoch: 403, iter: 149860/160000, loss: 0.0435, lr: 0.000004, batch_cost: 1.2182, reader_cost: 0.00021, ips: 1.6417 samples/sec | ETA 03:25:52 2021-08-23 18:10:31 [INFO] [TRAIN] epoch: 403, iter: 149870/160000, loss: 0.0406, lr: 0.000004, batch_cost: 1.2223, reader_cost: 0.00022, ips: 1.6363 samples/sec | ETA 03:26:21 2021-08-23 18:10:44 [INFO] [TRAIN] epoch: 403, iter: 149880/160000, loss: 0.0470, lr: 0.000004, batch_cost: 1.2214, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 03:26:00 2021-08-23 18:10:56 [INFO] [TRAIN] epoch: 403, iter: 149890/160000, loss: 0.0469, lr: 0.000004, batch_cost: 1.2393, reader_cost: 0.00024, ips: 1.6139 samples/sec | ETA 03:28:48 2021-08-23 18:11:08 [INFO] [TRAIN] epoch: 403, iter: 149900/160000, loss: 0.0549, lr: 0.000004, batch_cost: 1.2118, reader_cost: 0.00020, ips: 1.6504 samples/sec | ETA 03:23:59 2021-08-23 18:11:20 [INFO] [TRAIN] epoch: 403, iter: 149910/160000, loss: 0.0446, lr: 0.000004, batch_cost: 1.2014, reader_cost: 0.00018, ips: 1.6648 samples/sec | ETA 03:22:01 2021-08-23 18:11:34 [INFO] [TRAIN] epoch: 404, iter: 149920/160000, loss: 0.0462, lr: 0.000004, batch_cost: 1.4337, reader_cost: 0.18894, ips: 1.3950 samples/sec | ETA 04:00:51 2021-08-23 18:11:47 [INFO] [TRAIN] epoch: 404, iter: 149930/160000, loss: 0.0493, lr: 0.000004, batch_cost: 1.2140, reader_cost: 0.00089, ips: 1.6474 samples/sec | ETA 03:23:45 2021-08-23 18:11:59 [INFO] [TRAIN] epoch: 404, iter: 149940/160000, loss: 0.0439, lr: 0.000004, batch_cost: 1.2357, reader_cost: 0.00021, ips: 1.6185 samples/sec | ETA 03:27:11 2021-08-23 18:12:11 [INFO] [TRAIN] epoch: 404, iter: 149950/160000, loss: 0.0381, lr: 0.000004, batch_cost: 1.2203, reader_cost: 0.00021, ips: 1.6389 samples/sec | ETA 03:24:24 2021-08-23 18:12:23 [INFO] [TRAIN] epoch: 404, iter: 149960/160000, loss: 0.0443, lr: 0.000004, batch_cost: 1.2281, reader_cost: 0.00021, ips: 1.6286 samples/sec | ETA 03:25:29 2021-08-23 18:12:36 [INFO] [TRAIN] epoch: 404, iter: 149970/160000, loss: 0.0479, lr: 0.000004, batch_cost: 1.2239, reader_cost: 0.00023, ips: 1.6341 samples/sec | ETA 03:24:35 2021-08-23 18:12:48 [INFO] [TRAIN] epoch: 404, iter: 149980/160000, loss: 0.0531, lr: 0.000004, batch_cost: 1.2418, reader_cost: 0.00021, ips: 1.6105 samples/sec | ETA 03:27:23 2021-08-23 18:13:01 [INFO] [TRAIN] epoch: 404, iter: 149990/160000, loss: 0.0568, lr: 0.000004, batch_cost: 1.2393, reader_cost: 0.00023, ips: 1.6138 samples/sec | ETA 03:26:45 2021-08-23 18:13:13 [INFO] [TRAIN] epoch: 404, iter: 150000/160000, loss: 0.0448, lr: 0.000004, batch_cost: 1.2346, reader_cost: 0.00024, ips: 1.6199 samples/sec | ETA 03:25:46 2021-08-23 18:13:25 [INFO] [TRAIN] epoch: 404, iter: 150010/160000, loss: 0.0378, lr: 0.000004, batch_cost: 1.2378, reader_cost: 0.00023, ips: 1.6157 samples/sec | ETA 03:26:06 2021-08-23 18:13:38 [INFO] [TRAIN] epoch: 404, iter: 150020/160000, loss: 0.0449, lr: 0.000004, batch_cost: 1.2281, reader_cost: 0.00023, ips: 1.6285 samples/sec | ETA 03:24:16 2021-08-23 18:13:50 [INFO] [TRAIN] epoch: 404, iter: 150030/160000, loss: 0.0417, lr: 0.000004, batch_cost: 1.2498, reader_cost: 0.00022, ips: 1.6003 samples/sec | ETA 03:27:40 2021-08-23 18:14:02 [INFO] [TRAIN] epoch: 404, iter: 150040/160000, loss: 0.0448, lr: 0.000004, batch_cost: 1.2373, reader_cost: 0.00024, ips: 1.6165 samples/sec | ETA 03:25:23 2021-08-23 18:14:15 [INFO] [TRAIN] epoch: 404, iter: 150050/160000, loss: 0.0397, lr: 0.000004, batch_cost: 1.2411, reader_cost: 0.00024, ips: 1.6114 samples/sec | ETA 03:25:49 2021-08-23 18:14:27 [INFO] [TRAIN] epoch: 404, iter: 150060/160000, loss: 0.0490, lr: 0.000004, batch_cost: 1.2446, reader_cost: 0.00023, ips: 1.6070 samples/sec | ETA 03:26:11 2021-08-23 18:14:40 [INFO] [TRAIN] epoch: 404, iter: 150070/160000, loss: 0.0439, lr: 0.000004, batch_cost: 1.2353, reader_cost: 0.00023, ips: 1.6190 samples/sec | ETA 03:24:26 2021-08-23 18:14:52 [INFO] [TRAIN] epoch: 404, iter: 150080/160000, loss: 0.0474, lr: 0.000004, batch_cost: 1.2361, reader_cost: 0.00022, ips: 1.6180 samples/sec | ETA 03:24:21 2021-08-23 18:15:04 [INFO] [TRAIN] epoch: 404, iter: 150090/160000, loss: 0.0425, lr: 0.000004, batch_cost: 1.2263, reader_cost: 0.00022, ips: 1.6309 samples/sec | ETA 03:22:33 2021-08-23 18:15:16 [INFO] [TRAIN] epoch: 404, iter: 150100/160000, loss: 0.0505, lr: 0.000004, batch_cost: 1.2226, reader_cost: 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loss: 0.0583, lr: 0.000004, batch_cost: 1.2154, reader_cost: 0.00022, ips: 1.6456 samples/sec | ETA 03:19:19 2021-08-23 18:16:42 [INFO] [TRAIN] epoch: 404, iter: 150170/160000, loss: 0.0516, lr: 0.000004, batch_cost: 1.2103, reader_cost: 0.00020, ips: 1.6525 samples/sec | ETA 03:18:16 2021-08-23 18:16:54 [INFO] [TRAIN] epoch: 404, iter: 150180/160000, loss: 0.0426, lr: 0.000004, batch_cost: 1.2267, reader_cost: 0.00019, ips: 1.6303 samples/sec | ETA 03:20:46 2021-08-23 18:17:07 [INFO] [TRAIN] epoch: 404, iter: 150190/160000, loss: 0.0522, lr: 0.000004, batch_cost: 1.2144, reader_cost: 0.00021, ips: 1.6468 samples/sec | ETA 03:18:33 2021-08-23 18:17:19 [INFO] [TRAIN] epoch: 404, iter: 150200/160000, loss: 0.0453, lr: 0.000004, batch_cost: 1.2284, reader_cost: 0.00019, ips: 1.6281 samples/sec | ETA 03:20:38 2021-08-23 18:17:31 [INFO] [TRAIN] epoch: 404, iter: 150210/160000, loss: 0.0453, lr: 0.000004, batch_cost: 1.2502, reader_cost: 0.00019, ips: 1.5998 samples/sec | ETA 03:23:59 2021-08-23 18:17:44 [INFO] [TRAIN] epoch: 404, iter: 150220/160000, loss: 0.0503, lr: 0.000004, batch_cost: 1.2302, reader_cost: 0.00020, ips: 1.6257 samples/sec | ETA 03:20:31 2021-08-23 18:17:56 [INFO] [TRAIN] epoch: 404, iter: 150230/160000, loss: 0.0521, lr: 0.000004, batch_cost: 1.2419, reader_cost: 0.00023, ips: 1.6104 samples/sec | ETA 03:22:13 2021-08-23 18:18:08 [INFO] [TRAIN] epoch: 404, iter: 150240/160000, loss: 0.0480, lr: 0.000004, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6223 samples/sec | ETA 03:20:32 2021-08-23 18:18:21 [INFO] [TRAIN] epoch: 404, iter: 150250/160000, loss: 0.0544, lr: 0.000004, batch_cost: 1.2231, reader_cost: 0.00022, ips: 1.6352 samples/sec | ETA 03:18:45 2021-08-23 18:18:33 [INFO] [TRAIN] epoch: 404, iter: 150260/160000, loss: 0.0523, lr: 0.000004, batch_cost: 1.2232, reader_cost: 0.00021, ips: 1.6351 samples/sec | ETA 03:18:33 2021-08-23 18:18:45 [INFO] [TRAIN] epoch: 404, iter: 150270/160000, loss: 0.0446, lr: 0.000004, batch_cost: 1.2076, reader_cost: 0.00021, ips: 1.6561 samples/sec | ETA 03:15:50 2021-08-23 18:18:57 [INFO] [TRAIN] epoch: 404, iter: 150280/160000, loss: 0.0500, lr: 0.000004, batch_cost: 1.2140, reader_cost: 0.00020, ips: 1.6475 samples/sec | ETA 03:16:40 2021-08-23 18:19:12 [INFO] [TRAIN] epoch: 405, iter: 150290/160000, loss: 0.0509, lr: 0.000004, batch_cost: 1.4685, reader_cost: 0.20926, ips: 1.3619 samples/sec | ETA 03:57:39 2021-08-23 18:19:24 [INFO] [TRAIN] epoch: 405, iter: 150300/160000, loss: 0.0478, lr: 0.000004, batch_cost: 1.2351, reader_cost: 0.00081, ips: 1.6193 samples/sec | ETA 03:19:40 2021-08-23 18:19:36 [INFO] [TRAIN] epoch: 405, iter: 150310/160000, loss: 0.0499, lr: 0.000004, batch_cost: 1.2362, reader_cost: 0.00022, ips: 1.6179 samples/sec | ETA 03:19:38 2021-08-23 18:19:49 [INFO] [TRAIN] epoch: 405, iter: 150320/160000, loss: 0.0367, lr: 0.000004, batch_cost: 1.2378, reader_cost: 0.00021, ips: 1.6158 samples/sec | ETA 03:19:41 2021-08-23 18:20:01 [INFO] [TRAIN] epoch: 405, iter: 150330/160000, loss: 0.0445, lr: 0.000004, batch_cost: 1.2304, reader_cost: 0.00023, ips: 1.6254 samples/sec | ETA 03:18:18 2021-08-23 18:20:14 [INFO] [TRAIN] epoch: 405, iter: 150340/160000, loss: 0.0530, lr: 0.000004, batch_cost: 1.2388, reader_cost: 0.00024, ips: 1.6145 samples/sec | ETA 03:19:26 2021-08-23 18:20:26 [INFO] [TRAIN] epoch: 405, iter: 150350/160000, loss: 0.0466, lr: 0.000004, batch_cost: 1.2224, reader_cost: 0.00023, ips: 1.6361 samples/sec | ETA 03:16:36 2021-08-23 18:20:38 [INFO] [TRAIN] epoch: 405, iter: 150360/160000, loss: 0.0536, lr: 0.000004, batch_cost: 1.2218, reader_cost: 0.00023, ips: 1.6369 samples/sec | ETA 03:16:18 2021-08-23 18:20:50 [INFO] [TRAIN] epoch: 405, iter: 150370/160000, loss: 0.0430, lr: 0.000004, batch_cost: 1.2257, reader_cost: 0.00023, ips: 1.6318 samples/sec | ETA 03:16:43 2021-08-23 18:21:02 [INFO] [TRAIN] epoch: 405, iter: 150380/160000, loss: 0.0461, lr: 0.000004, batch_cost: 1.2196, reader_cost: 0.00021, ips: 1.6399 samples/sec | ETA 03:15:32 2021-08-23 18:21:15 [INFO] [TRAIN] epoch: 405, iter: 150390/160000, loss: 0.0492, lr: 0.000004, batch_cost: 1.2320, reader_cost: 0.00023, ips: 1.6234 samples/sec | ETA 03:17:19 2021-08-23 18:21:27 [INFO] [TRAIN] epoch: 405, iter: 150400/160000, loss: 0.0399, lr: 0.000004, batch_cost: 1.2386, reader_cost: 0.00023, ips: 1.6147 samples/sec | ETA 03:18:10 2021-08-23 18:21:39 [INFO] [TRAIN] epoch: 405, iter: 150410/160000, loss: 0.0425, lr: 0.000004, batch_cost: 1.2224, reader_cost: 0.00024, ips: 1.6361 samples/sec | ETA 03:15:23 2021-08-23 18:21:52 [INFO] [TRAIN] epoch: 405, iter: 150420/160000, loss: 0.0462, lr: 0.000004, batch_cost: 1.2583, reader_cost: 0.00022, ips: 1.5895 samples/sec | ETA 03:20:54 2021-08-23 18:22:04 [INFO] [TRAIN] epoch: 405, iter: 150430/160000, loss: 0.0473, lr: 0.000004, batch_cost: 1.2436, reader_cost: 0.00024, ips: 1.6082 samples/sec | ETA 03:18:21 2021-08-23 18:22:17 [INFO] [TRAIN] epoch: 405, iter: 150440/160000, loss: 0.0490, lr: 0.000004, batch_cost: 1.2162, reader_cost: 0.00022, ips: 1.6445 samples/sec | ETA 03:13:46 2021-08-23 18:22:29 [INFO] [TRAIN] epoch: 405, iter: 150450/160000, loss: 0.0429, lr: 0.000004, batch_cost: 1.2165, reader_cost: 0.00023, ips: 1.6441 samples/sec | ETA 03:13:37 2021-08-23 18:22:41 [INFO] [TRAIN] epoch: 405, iter: 150460/160000, loss: 0.0481, lr: 0.000004, batch_cost: 1.2199, reader_cost: 0.00021, ips: 1.6395 samples/sec | ETA 03:13:57 2021-08-23 18:22:53 [INFO] [TRAIN] epoch: 405, iter: 150470/160000, loss: 0.0471, lr: 0.000004, batch_cost: 1.2327, reader_cost: 0.00022, ips: 1.6225 samples/sec | ETA 03:15:47 2021-08-23 18:23:06 [INFO] [TRAIN] epoch: 405, iter: 150480/160000, loss: 0.0510, lr: 0.000004, batch_cost: 1.2258, reader_cost: 0.00023, ips: 1.6316 samples/sec | ETA 03:14:29 2021-08-23 18:23:18 [INFO] [TRAIN] epoch: 405, iter: 150490/160000, loss: 0.0465, lr: 0.000004, batch_cost: 1.2299, reader_cost: 0.00021, ips: 1.6261 samples/sec | ETA 03:14:56 2021-08-23 18:23:30 [INFO] [TRAIN] epoch: 405, iter: 150500/160000, loss: 0.0404, lr: 0.000004, batch_cost: 1.2219, reader_cost: 0.00021, ips: 1.6369 samples/sec | ETA 03:13:27 2021-08-23 18:23:42 [INFO] [TRAIN] epoch: 405, iter: 150510/160000, loss: 0.0451, lr: 0.000004, batch_cost: 1.2239, reader_cost: 0.00022, ips: 1.6341 samples/sec | ETA 03:13:34 2021-08-23 18:23:54 [INFO] [TRAIN] epoch: 405, iter: 150520/160000, loss: 0.0440, lr: 0.000004, batch_cost: 1.2236, reader_cost: 0.00021, ips: 1.6345 samples/sec | ETA 03:13:19 2021-08-23 18:24:07 [INFO] [TRAIN] epoch: 405, iter: 150530/160000, loss: 0.0392, lr: 0.000004, batch_cost: 1.2429, reader_cost: 0.00023, ips: 1.6091 samples/sec | ETA 03:16:10 2021-08-23 18:24:19 [INFO] [TRAIN] epoch: 405, iter: 150540/160000, loss: 0.0378, lr: 0.000004, batch_cost: 1.2440, reader_cost: 0.00023, ips: 1.6077 samples/sec | ETA 03:16:08 2021-08-23 18:24:32 [INFO] [TRAIN] epoch: 405, iter: 150550/160000, loss: 0.0526, lr: 0.000004, batch_cost: 1.2251, reader_cost: 0.00023, ips: 1.6325 samples/sec | ETA 03:12:57 2021-08-23 18:24:44 [INFO] [TRAIN] epoch: 405, iter: 150560/160000, loss: 0.0435, lr: 0.000004, batch_cost: 1.2272, reader_cost: 0.00021, ips: 1.6298 samples/sec | ETA 03:13:04 2021-08-23 18:24:56 [INFO] [TRAIN] epoch: 405, iter: 150570/160000, loss: 0.0452, lr: 0.000004, batch_cost: 1.2392, reader_cost: 0.00023, ips: 1.6139 samples/sec | ETA 03:14:45 2021-08-23 18:25:09 [INFO] [TRAIN] epoch: 405, iter: 150580/160000, loss: 0.0587, lr: 0.000004, batch_cost: 1.2331, reader_cost: 0.00022, ips: 1.6219 samples/sec | ETA 03:13:35 2021-08-23 18:25:21 [INFO] [TRAIN] epoch: 405, iter: 150590/160000, loss: 0.0604, lr: 0.000004, batch_cost: 1.2266, reader_cost: 0.00023, ips: 1.6305 samples/sec | ETA 03:12:22 2021-08-23 18:25:33 [INFO] [TRAIN] epoch: 405, iter: 150600/160000, loss: 0.0496, lr: 0.000004, batch_cost: 1.2341, reader_cost: 0.00025, ips: 1.6206 samples/sec | ETA 03:13:20 2021-08-23 18:25:46 [INFO] [TRAIN] epoch: 405, iter: 150610/160000, loss: 0.0416, lr: 0.000004, batch_cost: 1.2326, reader_cost: 0.00021, ips: 1.6226 samples/sec | ETA 03:12:54 2021-08-23 18:25:58 [INFO] [TRAIN] epoch: 405, iter: 150620/160000, loss: 0.0527, lr: 0.000004, batch_cost: 1.2359, reader_cost: 0.00021, ips: 1.6182 samples/sec | ETA 03:13:13 2021-08-23 18:26:10 [INFO] [TRAIN] epoch: 405, iter: 150630/160000, loss: 0.0499, lr: 0.000004, batch_cost: 1.2221, reader_cost: 0.00023, ips: 1.6365 samples/sec | ETA 03:10:51 2021-08-23 18:26:22 [INFO] [TRAIN] epoch: 405, iter: 150640/160000, loss: 0.0420, lr: 0.000004, batch_cost: 1.2235, reader_cost: 0.00021, ips: 1.6347 samples/sec | ETA 03:10:51 2021-08-23 18:26:35 [INFO] [TRAIN] epoch: 405, iter: 150650/160000, loss: 0.0508, lr: 0.000004, batch_cost: 1.2353, reader_cost: 0.00023, ips: 1.6190 samples/sec | ETA 03:12:30 2021-08-23 18:26:47 [INFO] [TRAIN] epoch: 405, iter: 150660/160000, loss: 0.0568, lr: 0.000004, batch_cost: 1.1818, reader_cost: 0.00015, ips: 1.6924 samples/sec | ETA 03:03:57 2021-08-23 18:27:02 [INFO] [TRAIN] epoch: 406, iter: 150670/160000, loss: 0.0427, lr: 0.000003, batch_cost: 1.5002, reader_cost: 0.19466, ips: 1.3332 samples/sec | ETA 03:53:16 2021-08-23 18:27:14 [INFO] [TRAIN] epoch: 406, iter: 150680/160000, loss: 0.0522, lr: 0.000003, batch_cost: 1.2503, reader_cost: 0.00127, ips: 1.5996 samples/sec | ETA 03:14:12 2021-08-23 18:27:26 [INFO] [TRAIN] epoch: 406, iter: 150690/160000, loss: 0.0474, lr: 0.000003, batch_cost: 1.2449, reader_cost: 0.00021, ips: 1.6065 samples/sec | ETA 03:13:10 2021-08-23 18:27:39 [INFO] [TRAIN] epoch: 406, iter: 150700/160000, loss: 0.0431, lr: 0.000003, batch_cost: 1.2402, reader_cost: 0.00021, ips: 1.6126 samples/sec | ETA 03:12:13 2021-08-23 18:27:51 [INFO] [TRAIN] epoch: 406, iter: 150710/160000, loss: 0.0499, lr: 0.000003, batch_cost: 1.2093, reader_cost: 0.00022, ips: 1.6538 samples/sec | ETA 03:07:14 2021-08-23 18:28:04 [INFO] [TRAIN] epoch: 406, iter: 150720/160000, loss: 0.0438, lr: 0.000003, batch_cost: 1.2542, reader_cost: 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loss: 0.0469, lr: 0.000003, batch_cost: 1.2274, reader_cost: 0.00022, ips: 1.6295 samples/sec | ETA 03:08:36 2021-08-23 18:29:30 [INFO] [TRAIN] epoch: 406, iter: 150790/160000, loss: 0.0484, lr: 0.000003, batch_cost: 1.2309, reader_cost: 0.00023, ips: 1.6248 samples/sec | ETA 03:08:56 2021-08-23 18:29:42 [INFO] [TRAIN] epoch: 406, iter: 150800/160000, loss: 0.0399, lr: 0.000003, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6223 samples/sec | ETA 03:09:01 2021-08-23 18:29:54 [INFO] [TRAIN] epoch: 406, iter: 150810/160000, loss: 0.0447, lr: 0.000003, batch_cost: 1.2184, reader_cost: 0.00021, ips: 1.6415 samples/sec | ETA 03:06:36 2021-08-23 18:30:06 [INFO] [TRAIN] epoch: 406, iter: 150820/160000, loss: 0.0486, lr: 0.000003, batch_cost: 1.2248, reader_cost: 0.00021, ips: 1.6329 samples/sec | ETA 03:07:24 2021-08-23 18:30:18 [INFO] [TRAIN] epoch: 406, iter: 150830/160000, loss: 0.0420, lr: 0.000003, batch_cost: 1.2133, reader_cost: 0.00022, ips: 1.6484 samples/sec | ETA 03:05:26 2021-08-23 18:30:31 [INFO] [TRAIN] epoch: 406, iter: 150840/160000, loss: 0.0520, lr: 0.000003, batch_cost: 1.2324, reader_cost: 0.00022, ips: 1.6228 samples/sec | ETA 03:08:09 2021-08-23 18:30:43 [INFO] [TRAIN] epoch: 406, iter: 150850/160000, loss: 0.0509, lr: 0.000003, batch_cost: 1.2330, reader_cost: 0.00023, ips: 1.6221 samples/sec | ETA 03:08:01 2021-08-23 18:30:55 [INFO] [TRAIN] epoch: 406, iter: 150860/160000, loss: 0.0451, lr: 0.000003, batch_cost: 1.2284, reader_cost: 0.00020, ips: 1.6281 samples/sec | ETA 03:07:07 2021-08-23 18:31:07 [INFO] [TRAIN] epoch: 406, iter: 150870/160000, loss: 0.0457, lr: 0.000003, batch_cost: 1.2112, reader_cost: 0.00021, ips: 1.6513 samples/sec | ETA 03:04:18 2021-08-23 18:31:20 [INFO] [TRAIN] epoch: 406, iter: 150880/160000, loss: 0.0502, lr: 0.000003, batch_cost: 1.2239, reader_cost: 0.00020, ips: 1.6341 samples/sec | ETA 03:06:02 2021-08-23 18:31:32 [INFO] [TRAIN] epoch: 406, iter: 150890/160000, loss: 0.0433, lr: 0.000003, batch_cost: 1.2442, 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150950/160000, loss: 0.0425, lr: 0.000003, batch_cost: 1.2322, reader_cost: 0.00022, ips: 1.6230 samples/sec | ETA 03:05:51 2021-08-23 18:32:58 [INFO] [TRAIN] epoch: 406, iter: 150960/160000, loss: 0.0520, lr: 0.000003, batch_cost: 1.2209, reader_cost: 0.00024, ips: 1.6381 samples/sec | ETA 03:03:57 2021-08-23 18:33:11 [INFO] [TRAIN] epoch: 406, iter: 150970/160000, loss: 0.0523, lr: 0.000003, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6329 samples/sec | ETA 03:04:20 2021-08-23 18:33:23 [INFO] [TRAIN] epoch: 406, iter: 150980/160000, loss: 0.0521, lr: 0.000003, batch_cost: 1.2227, reader_cost: 0.00022, ips: 1.6357 samples/sec | ETA 03:03:48 2021-08-23 18:33:35 [INFO] [TRAIN] epoch: 406, iter: 150990/160000, loss: 0.0579, lr: 0.000003, batch_cost: 1.2371, reader_cost: 0.00023, ips: 1.6167 samples/sec | ETA 03:05:45 2021-08-23 18:33:48 [INFO] [TRAIN] epoch: 406, iter: 151000/160000, loss: 0.0436, lr: 0.000003, batch_cost: 1.2375, reader_cost: 0.00023, ips: 1.6162 samples/sec | ETA 03:05:37 2021-08-23 18:34:00 [INFO] [TRAIN] epoch: 406, iter: 151010/160000, loss: 0.0488, lr: 0.000003, batch_cost: 1.2266, reader_cost: 0.00021, ips: 1.6305 samples/sec | ETA 03:03:47 2021-08-23 18:34:12 [INFO] [TRAIN] epoch: 406, iter: 151020/160000, loss: 0.0496, lr: 0.000003, batch_cost: 1.2397, reader_cost: 0.00022, ips: 1.6133 samples/sec | ETA 03:05:32 2021-08-23 18:34:24 [INFO] [TRAIN] epoch: 406, iter: 151030/160000, loss: 0.0528, lr: 0.000003, batch_cost: 1.2175, reader_cost: 0.00014, ips: 1.6427 samples/sec | ETA 03:02:00 2021-08-23 18:34:39 [INFO] [TRAIN] epoch: 407, iter: 151040/160000, loss: 0.0444, lr: 0.000003, batch_cost: 1.4932, reader_cost: 0.20873, ips: 1.3394 samples/sec | ETA 03:42:59 2021-08-23 18:34:52 [INFO] [TRAIN] epoch: 407, iter: 151050/160000, loss: 0.0391, lr: 0.000003, batch_cost: 1.2307, reader_cost: 0.00078, ips: 1.6251 samples/sec | ETA 03:03:34 2021-08-23 18:35:04 [INFO] [TRAIN] epoch: 407, iter: 151060/160000, loss: 0.0540, lr: 0.000003, batch_cost: 1.2345, reader_cost: 0.00023, ips: 1.6200 samples/sec | ETA 03:03:56 2021-08-23 18:35:16 [INFO] [TRAIN] epoch: 407, iter: 151070/160000, loss: 0.0505, lr: 0.000003, batch_cost: 1.2238, reader_cost: 0.00022, ips: 1.6342 samples/sec | ETA 03:02:08 2021-08-23 18:35:28 [INFO] [TRAIN] epoch: 407, iter: 151080/160000, loss: 0.0456, lr: 0.000003, batch_cost: 1.2161, reader_cost: 0.00021, ips: 1.6446 samples/sec | ETA 03:00:47 2021-08-23 18:35:41 [INFO] [TRAIN] epoch: 407, iter: 151090/160000, loss: 0.0477, lr: 0.000003, batch_cost: 1.2413, reader_cost: 0.00022, ips: 1.6112 samples/sec | ETA 03:04:19 2021-08-23 18:35:53 [INFO] [TRAIN] epoch: 407, iter: 151100/160000, loss: 0.0390, lr: 0.000003, batch_cost: 1.2167, reader_cost: 0.00020, ips: 1.6438 samples/sec | ETA 03:00:28 2021-08-23 18:36:05 [INFO] [TRAIN] epoch: 407, iter: 151110/160000, loss: 0.0475, lr: 0.000003, batch_cost: 1.2370, reader_cost: 0.00024, ips: 1.6168 samples/sec | ETA 03:03:16 2021-08-23 18:36:17 [INFO] [TRAIN] epoch: 407, iter: 151120/160000, loss: 0.0455, lr: 0.000003, batch_cost: 1.2157, reader_cost: 0.00023, ips: 1.6452 samples/sec | ETA 02:59:55 2021-08-23 18:36:30 [INFO] [TRAIN] epoch: 407, iter: 151130/160000, loss: 0.0522, lr: 0.000003, batch_cost: 1.2176, reader_cost: 0.00021, ips: 1.6425 samples/sec | ETA 03:00:00 2021-08-23 18:36:42 [INFO] [TRAIN] epoch: 407, iter: 151140/160000, loss: 0.0477, lr: 0.000003, batch_cost: 1.2337, reader_cost: 0.00079, ips: 1.6212 samples/sec | ETA 03:02:10 2021-08-23 18:36:54 [INFO] [TRAIN] epoch: 407, iter: 151150/160000, loss: 0.0527, lr: 0.000003, batch_cost: 1.2161, reader_cost: 0.00022, ips: 1.6446 samples/sec | ETA 02:59:22 2021-08-23 18:37:06 [INFO] [TRAIN] epoch: 407, iter: 151160/160000, loss: 0.0445, lr: 0.000003, batch_cost: 1.2197, reader_cost: 0.00022, ips: 1.6397 samples/sec | ETA 02:59:42 2021-08-23 18:37:19 [INFO] [TRAIN] epoch: 407, iter: 151170/160000, loss: 0.0542, lr: 0.000003, batch_cost: 1.2320, reader_cost: 0.00024, ips: 1.6233 samples/sec | ETA 03:01:18 2021-08-23 18:37:31 [INFO] [TRAIN] epoch: 407, iter: 151180/160000, loss: 0.0567, lr: 0.000003, batch_cost: 1.2477, reader_cost: 0.00024, ips: 1.6030 samples/sec | ETA 03:03:24 2021-08-23 18:37:43 [INFO] [TRAIN] epoch: 407, iter: 151190/160000, loss: 0.0496, lr: 0.000003, batch_cost: 1.2249, reader_cost: 0.00025, ips: 1.6328 samples/sec | ETA 02:59:51 2021-08-23 18:37:56 [INFO] [TRAIN] epoch: 407, iter: 151200/160000, loss: 0.0446, lr: 0.000003, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6332 samples/sec | ETA 02:59:36 2021-08-23 18:38:08 [INFO] [TRAIN] epoch: 407, iter: 151210/160000, loss: 0.0559, lr: 0.000003, batch_cost: 1.2188, reader_cost: 0.00025, ips: 1.6409 samples/sec | ETA 02:58:33 2021-08-23 18:38:20 [INFO] [TRAIN] epoch: 407, iter: 151220/160000, loss: 0.0477, lr: 0.000003, batch_cost: 1.2205, reader_cost: 0.00022, ips: 1.6387 samples/sec | ETA 02:58:35 2021-08-23 18:38:32 [INFO] [TRAIN] epoch: 407, iter: 151230/160000, loss: 0.0519, lr: 0.000003, batch_cost: 1.2251, reader_cost: 0.00021, ips: 1.6326 samples/sec | ETA 02:59:03 2021-08-23 18:38:45 [INFO] [TRAIN] epoch: 407, iter: 151240/160000, loss: 0.0403, lr: 0.000003, batch_cost: 1.2471, reader_cost: 0.00023, ips: 1.6037 samples/sec | ETA 03:02:04 2021-08-23 18:38:57 [INFO] [TRAIN] epoch: 407, iter: 151250/160000, loss: 0.0528, lr: 0.000003, batch_cost: 1.2295, reader_cost: 0.00020, ips: 1.6267 samples/sec | ETA 02:59:17 2021-08-23 18:39:09 [INFO] [TRAIN] epoch: 407, iter: 151260/160000, loss: 0.0481, lr: 0.000003, batch_cost: 1.2333, reader_cost: 0.00022, ips: 1.6217 samples/sec | ETA 02:59:38 2021-08-23 18:39:22 [INFO] [TRAIN] epoch: 407, iter: 151270/160000, loss: 0.0576, lr: 0.000003, batch_cost: 1.2249, reader_cost: 0.00022, ips: 1.6328 samples/sec | ETA 02:58:12 2021-08-23 18:39:34 [INFO] [TRAIN] epoch: 407, iter: 151280/160000, loss: 0.0499, lr: 0.000003, batch_cost: 1.2310, reader_cost: 0.00022, ips: 1.6247 samples/sec | ETA 02:58:54 2021-08-23 18:39:46 [INFO] [TRAIN] epoch: 407, iter: 151290/160000, loss: 0.0367, lr: 0.000003, batch_cost: 1.2350, reader_cost: 0.00021, ips: 1.6194 samples/sec | ETA 02:59:17 2021-08-23 18:39:59 [INFO] [TRAIN] epoch: 407, iter: 151300/160000, loss: 0.0471, lr: 0.000003, batch_cost: 1.2293, reader_cost: 0.00021, ips: 1.6270 samples/sec | ETA 02:58:14 2021-08-23 18:40:11 [INFO] [TRAIN] epoch: 407, iter: 151310/160000, loss: 0.0473, lr: 0.000003, batch_cost: 1.2348, reader_cost: 0.00024, ips: 1.6197 samples/sec | ETA 02:58:50 2021-08-23 18:40:23 [INFO] [TRAIN] epoch: 407, iter: 151320/160000, loss: 0.0429, lr: 0.000003, batch_cost: 1.2457, reader_cost: 0.00022, ips: 1.6055 samples/sec | ETA 03:00:12 2021-08-23 18:40:36 [INFO] [TRAIN] epoch: 407, iter: 151330/160000, loss: 0.0432, lr: 0.000003, batch_cost: 1.2343, reader_cost: 0.00022, ips: 1.6203 samples/sec | ETA 02:58:21 2021-08-23 18:40:48 [INFO] [TRAIN] epoch: 407, iter: 151340/160000, loss: 0.0481, lr: 0.000003, batch_cost: 1.2398, reader_cost: 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loss: 0.0609, lr: 0.000003, batch_cost: 1.1897, reader_cost: 0.00016, ips: 1.6811 samples/sec | ETA 02:50:31 2021-08-23 18:42:17 [INFO] [TRAIN] epoch: 408, iter: 151410/160000, loss: 0.0511, lr: 0.000003, batch_cost: 1.4925, reader_cost: 0.25577, ips: 1.3400 samples/sec | ETA 03:33:40 2021-08-23 18:42:29 [INFO] [TRAIN] epoch: 408, iter: 151420/160000, loss: 0.0466, lr: 0.000003, batch_cost: 1.2358, reader_cost: 0.00076, ips: 1.6184 samples/sec | ETA 02:56:43 2021-08-23 18:42:41 [INFO] [TRAIN] epoch: 408, iter: 151430/160000, loss: 0.0524, lr: 0.000003, batch_cost: 1.2332, reader_cost: 0.00022, ips: 1.6218 samples/sec | ETA 02:56:08 2021-08-23 18:42:54 [INFO] [TRAIN] epoch: 408, iter: 151440/160000, loss: 0.0450, lr: 0.000003, batch_cost: 1.2436, reader_cost: 0.00021, ips: 1.6083 samples/sec | ETA 02:57:25 2021-08-23 18:43:06 [INFO] [TRAIN] epoch: 408, iter: 151450/160000, loss: 0.0442, lr: 0.000003, batch_cost: 1.2414, reader_cost: 0.00022, ips: 1.6111 samples/sec | ETA 02:56:53 2021-08-23 18:43:19 [INFO] [TRAIN] epoch: 408, iter: 151460/160000, loss: 0.0488, lr: 0.000003, batch_cost: 1.2323, reader_cost: 0.00023, ips: 1.6230 samples/sec | ETA 02:55:23 2021-08-23 18:43:31 [INFO] [TRAIN] epoch: 408, iter: 151470/160000, loss: 0.0475, lr: 0.000003, batch_cost: 1.2279, reader_cost: 0.00021, ips: 1.6288 samples/sec | ETA 02:54:34 2021-08-23 18:43:43 [INFO] [TRAIN] epoch: 408, iter: 151480/160000, loss: 0.0458, lr: 0.000003, batch_cost: 1.2171, reader_cost: 0.00020, ips: 1.6433 samples/sec | ETA 02:52:49 2021-08-23 18:43:55 [INFO] [TRAIN] epoch: 408, iter: 151490/160000, loss: 0.0543, lr: 0.000003, batch_cost: 1.2110, reader_cost: 0.00020, ips: 1.6515 samples/sec | ETA 02:51:45 2021-08-23 18:44:07 [INFO] [TRAIN] epoch: 408, iter: 151500/160000, loss: 0.0505, lr: 0.000003, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6305 samples/sec | ETA 02:53:46 2021-08-23 18:44:20 [INFO] [TRAIN] epoch: 408, iter: 151510/160000, loss: 0.0445, lr: 0.000003, batch_cost: 1.2195, 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02:52:42 2021-08-23 18:46:47 [INFO] [TRAIN] epoch: 408, iter: 151630/160000, loss: 0.0530, lr: 0.000003, batch_cost: 1.2236, reader_cost: 0.00021, ips: 1.6345 samples/sec | ETA 02:50:41 2021-08-23 18:46:59 [INFO] [TRAIN] epoch: 408, iter: 151640/160000, loss: 0.0501, lr: 0.000003, batch_cost: 1.2336, reader_cost: 0.00022, ips: 1.6213 samples/sec | ETA 02:51:52 2021-08-23 18:47:11 [INFO] [TRAIN] epoch: 408, iter: 151650/160000, loss: 0.0505, lr: 0.000003, batch_cost: 1.2433, reader_cost: 0.00026, ips: 1.6087 samples/sec | ETA 02:53:01 2021-08-23 18:47:24 [INFO] [TRAIN] epoch: 408, iter: 151660/160000, loss: 0.0448, lr: 0.000003, batch_cost: 1.2298, reader_cost: 0.00024, ips: 1.6263 samples/sec | ETA 02:50:56 2021-08-23 18:47:36 [INFO] [TRAIN] epoch: 408, iter: 151670/160000, loss: 0.0529, lr: 0.000003, batch_cost: 1.2260, reader_cost: 0.00020, ips: 1.6313 samples/sec | ETA 02:50:12 2021-08-23 18:47:48 [INFO] [TRAIN] epoch: 408, iter: 151680/160000, loss: 0.0581, lr: 0.000003, batch_cost: 1.2117, reader_cost: 0.00021, ips: 1.6506 samples/sec | ETA 02:48:00 2021-08-23 18:48:00 [INFO] [TRAIN] epoch: 408, iter: 151690/160000, loss: 0.0475, lr: 0.000003, batch_cost: 1.2066, reader_cost: 0.00022, ips: 1.6576 samples/sec | ETA 02:47:06 2021-08-23 18:48:12 [INFO] [TRAIN] epoch: 408, iter: 151700/160000, loss: 0.0449, lr: 0.000003, batch_cost: 1.2269, reader_cost: 0.00021, ips: 1.6301 samples/sec | ETA 02:49:43 2021-08-23 18:48:25 [INFO] [TRAIN] epoch: 408, iter: 151710/160000, loss: 0.0505, lr: 0.000003, batch_cost: 1.2200, reader_cost: 0.00021, ips: 1.6393 samples/sec | ETA 02:48:33 2021-08-23 18:48:37 [INFO] [TRAIN] epoch: 408, iter: 151720/160000, loss: 0.0403, lr: 0.000003, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6388 samples/sec | ETA 02:48:24 2021-08-23 18:48:49 [INFO] [TRAIN] epoch: 408, iter: 151730/160000, loss: 0.0547, lr: 0.000003, batch_cost: 1.2259, reader_cost: 0.00021, ips: 1.6315 samples/sec | ETA 02:48:58 2021-08-23 18:49:01 [INFO] [TRAIN] epoch: 408, iter: 151740/160000, loss: 0.0497, lr: 0.000003, batch_cost: 1.2179, reader_cost: 0.00021, ips: 1.6422 samples/sec | ETA 02:47:39 2021-08-23 18:49:14 [INFO] [TRAIN] epoch: 408, iter: 151750/160000, loss: 0.0475, lr: 0.000003, batch_cost: 1.2373, reader_cost: 0.00023, ips: 1.6164 samples/sec | ETA 02:50:07 2021-08-23 18:49:26 [INFO] [TRAIN] epoch: 408, iter: 151760/160000, loss: 0.0554, lr: 0.000003, batch_cost: 1.2104, reader_cost: 0.00020, ips: 1.6524 samples/sec | ETA 02:46:13 2021-08-23 18:49:38 [INFO] [TRAIN] epoch: 408, iter: 151770/160000, loss: 0.0470, lr: 0.000003, batch_cost: 1.2029, reader_cost: 0.00020, ips: 1.6626 samples/sec | ETA 02:45:00 2021-08-23 18:49:52 [INFO] [TRAIN] epoch: 409, iter: 151780/160000, loss: 0.0430, lr: 0.000003, batch_cost: 1.4710, reader_cost: 0.22464, ips: 1.3596 samples/sec | ETA 03:21:31 2021-08-23 18:50:05 [INFO] [TRAIN] epoch: 409, iter: 151790/160000, loss: 0.0515, lr: 0.000003, batch_cost: 1.2378, reader_cost: 0.00079, ips: 1.6158 samples/sec | ETA 02:49:22 2021-08-23 18:50:17 [INFO] [TRAIN] epoch: 409, iter: 151800/160000, loss: 0.0465, lr: 0.000003, batch_cost: 1.2371, reader_cost: 0.00022, ips: 1.6167 samples/sec | ETA 02:49:04 2021-08-23 18:50:29 [INFO] [TRAIN] epoch: 409, iter: 151810/160000, loss: 0.0619, lr: 0.000003, batch_cost: 1.2092, reader_cost: 0.00024, ips: 1.6540 samples/sec | ETA 02:45:03 2021-08-23 18:50:42 [INFO] [TRAIN] epoch: 409, iter: 151820/160000, loss: 0.0453, lr: 0.000003, batch_cost: 1.2295, reader_cost: 0.00021, ips: 1.6266 samples/sec | ETA 02:47:37 2021-08-23 18:50:54 [INFO] [TRAIN] epoch: 409, iter: 151830/160000, loss: 0.0557, lr: 0.000003, batch_cost: 1.2362, reader_cost: 0.00021, ips: 1.6178 samples/sec | ETA 02:48:19 2021-08-23 18:51:06 [INFO] [TRAIN] epoch: 409, iter: 151840/160000, loss: 0.0441, lr: 0.000003, batch_cost: 1.2279, reader_cost: 0.00020, ips: 1.6288 samples/sec | ETA 02:46:59 2021-08-23 18:51:18 [INFO] [TRAIN] epoch: 409, iter: 151850/160000, loss: 0.0430, lr: 0.000003, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 02:45:55 2021-08-23 18:51:31 [INFO] [TRAIN] epoch: 409, iter: 151860/160000, loss: 0.0502, lr: 0.000003, batch_cost: 1.2132, reader_cost: 0.00021, ips: 1.6485 samples/sec | ETA 02:44:35 2021-08-23 18:51:43 [INFO] [TRAIN] epoch: 409, iter: 151870/160000, loss: 0.0552, lr: 0.000003, batch_cost: 1.2334, reader_cost: 0.00022, ips: 1.6215 samples/sec | ETA 02:47:07 2021-08-23 18:51:55 [INFO] [TRAIN] epoch: 409, iter: 151880/160000, loss: 0.0629, lr: 0.000003, batch_cost: 1.2302, reader_cost: 0.00022, ips: 1.6258 samples/sec | ETA 02:46:29 2021-08-23 18:52:07 [INFO] [TRAIN] epoch: 409, iter: 151890/160000, loss: 0.0379, lr: 0.000003, batch_cost: 1.2184, reader_cost: 0.00022, ips: 1.6415 samples/sec | ETA 02:44:41 2021-08-23 18:52:20 [INFO] [TRAIN] epoch: 409, iter: 151900/160000, loss: 0.0483, lr: 0.000003, batch_cost: 1.2237, reader_cost: 0.00022, ips: 1.6344 samples/sec | ETA 02:45:12 2021-08-23 18:52:32 [INFO] [TRAIN] epoch: 409, iter: 151910/160000, loss: 0.0487, lr: 0.000003, batch_cost: 1.2281, reader_cost: 0.00024, ips: 1.6285 samples/sec | ETA 02:45:35 2021-08-23 18:52:44 [INFO] [TRAIN] epoch: 409, iter: 151920/160000, loss: 0.0412, lr: 0.000003, batch_cost: 1.2236, reader_cost: 0.00024, ips: 1.6346 samples/sec | ETA 02:44:46 2021-08-23 18:52:56 [INFO] [TRAIN] epoch: 409, iter: 151930/160000, loss: 0.0469, lr: 0.000003, batch_cost: 1.2284, reader_cost: 0.00021, ips: 1.6282 samples/sec | ETA 02:45:12 2021-08-23 18:53:09 [INFO] [TRAIN] epoch: 409, iter: 151940/160000, loss: 0.0526, lr: 0.000003, batch_cost: 1.2334, reader_cost: 0.00020, ips: 1.6216 samples/sec | ETA 02:45:40 2021-08-23 18:53:21 [INFO] [TRAIN] epoch: 409, iter: 151950/160000, loss: 0.0452, lr: 0.000003, batch_cost: 1.2351, reader_cost: 0.00022, ips: 1.6193 samples/sec | ETA 02:45:42 2021-08-23 18:53:34 [INFO] [TRAIN] epoch: 409, iter: 151960/160000, loss: 0.0375, lr: 0.000003, batch_cost: 1.2445, reader_cost: 0.00023, ips: 1.6070 samples/sec | ETA 02:46:46 2021-08-23 18:53:46 [INFO] [TRAIN] epoch: 409, iter: 151970/160000, loss: 0.0472, lr: 0.000003, batch_cost: 1.2462, reader_cost: 0.00022, ips: 1.6049 samples/sec | ETA 02:46:47 2021-08-23 18:53:58 [INFO] [TRAIN] epoch: 409, iter: 151980/160000, loss: 0.0414, lr: 0.000003, batch_cost: 1.2318, reader_cost: 0.00023, ips: 1.6236 samples/sec | ETA 02:44:39 2021-08-23 18:54:11 [INFO] [TRAIN] epoch: 409, iter: 151990/160000, loss: 0.0447, lr: 0.000003, batch_cost: 1.2445, reader_cost: 0.00071, ips: 1.6071 samples/sec | ETA 02:46:08 2021-08-23 18:54:23 [INFO] [TRAIN] epoch: 409, iter: 152000/160000, loss: 0.0504, lr: 0.000003, batch_cost: 1.2253, reader_cost: 0.00022, ips: 1.6322 samples/sec | ETA 02:43:22 2021-08-23 18:54:23 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:35 - batch_cost: 3.6709 - reader cost: 0.4053 2/125 [..............................] - ETA: 5:58 - batch_cost: 2.9137 - reader cost: 0.2028 3/125 [..............................] - ETA: 5:22 - batch_cost: 2.6414 - reader cost: 0.1352 4/125 [..............................] - ETA: 5:06 - batch_cost: 2.5302 - reader cost: 0.1015 5/125 [>.............................] - ETA: 4:53 - batch_cost: 2.4463 - reader cost: 0.0812 6/125 [>.............................] - ETA: 4:43 - batch_cost: 2.3781 - reader cost: 0.0677 7/125 [>.............................] - ETA: 4:36 - batch_cost: 2.3433 - reader cost: 0.0581 8/125 [>.............................] - ETA: 4:30 - batch_cost: 2.3145 - reader cost: 0.0508 9/125 [=>............................] - ETA: 4:26 - batch_cost: 2.2988 - reader cost: 0.0452 10/125 [=>............................] - ETA: 4:22 - batch_cost: 2.2809 - reader cost: 0.0407 11/125 [=>............................] - ETA: 4:18 - batch_cost: 2.2657 - reader cost: 0.0370 12/125 [=>............................] - ETA: 4:14 - batch_cost: 2.2557 - reader cost: 0.0340 13/125 [==>...........................] - ETA: 4:11 - batch_cost: 2.2474 - reader cost: 0.0314 14/125 [==>...........................] - ETA: 4:08 - batch_cost: 2.2389 - reader cost: 0.0291 15/125 [==>...........................] - ETA: 4:05 - batch_cost: 2.2317 - reader cost: 0.0272 16/125 [==>...........................] - ETA: 4:02 - batch_cost: 2.2229 - reader cost: 0.0255 17/125 [===>..........................] - ETA: 3:59 - batch_cost: 2.2193 - reader cost: 0.0240 18/125 [===>..........................] - ETA: 3:56 - batch_cost: 2.2145 - reader cost: 0.0227 19/125 [===>..........................] - ETA: 3:54 - batch_cost: 2.2098 - reader cost: 0.0215 20/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.2049 - reader cost: 0.0204 21/125 [====>.........................] - ETA: 3:48 - batch_cost: 2.2006 - reader cost: 0.0195 22/125 [====>.........................] - ETA: 3:46 - batch_cost: 2.1972 - reader cost: 0.0186 23/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.1931 - reader cost: 0.0178 24/125 [====>.........................] - ETA: 3:41 - batch_cost: 2.1895 - reader cost: 0.0171 25/125 [=====>........................] - ETA: 3:38 - batch_cost: 2.1861 - reader cost: 0.0164 26/125 [=====>........................] - ETA: 3:36 - batch_cost: 2.1831 - reader cost: 0.0158 27/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1795 - reader cost: 0.0152 28/125 [=====>........................] - ETA: 3:31 - batch_cost: 2.1802 - reader cost: 0.0147 29/125 [=====>........................] - ETA: 3:29 - batch_cost: 2.1781 - reader cost: 0.0142 30/125 [======>.......................] - ETA: 3:26 - batch_cost: 2.1760 - reader cost: 0.0137 31/125 [======>.......................] - ETA: 3:24 - batch_cost: 2.1735 - reader cost: 0.0133 32/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1717 - reader cost: 0.0129 33/125 [======>.......................] - ETA: 3:19 - batch_cost: 2.1698 - reader cost: 0.0125 34/125 [=======>......................] - ETA: 3:17 - batch_cost: 2.1672 - reader cost: 0.0121 35/125 [=======>......................] - ETA: 3:14 - batch_cost: 2.1660 - reader cost: 0.0118 36/125 [=======>......................] - ETA: 3:12 - batch_cost: 2.1643 - reader cost: 0.0115 37/125 [=======>......................] - ETA: 3:10 - batch_cost: 2.1627 - reader cost: 0.0112 38/125 [========>.....................] - ETA: 3:07 - batch_cost: 2.1601 - reader cost: 0.0109 39/125 [========>.....................] - ETA: 3:05 - batch_cost: 2.1577 - reader cost: 0.0106 40/125 [========>.....................] - ETA: 3:03 - batch_cost: 2.1557 - reader cost: 0.0103 41/125 [========>.....................] - ETA: 3:00 - batch_cost: 2.1542 - reader cost: 0.0101 42/125 [=========>....................] - ETA: 2:58 - batch_cost: 2.1521 - reader cost: 0.0099 43/125 [=========>....................] - ETA: 2:56 - batch_cost: 2.1498 - reader cost: 0.0096 44/125 [=========>....................] - ETA: 2:53 - batch_cost: 2.1474 - reader cost: 0.0094 45/125 [=========>....................] - ETA: 2:51 - batch_cost: 2.1454 - reader cost: 0.0092 46/125 [==========>...................] - ETA: 2:49 - batch_cost: 2.1439 - reader cost: 0.0090 47/125 [==========>...................] - ETA: 2:47 - batch_cost: 2.1431 - reader cost: 0.0088 48/125 [==========>...................] - ETA: 2:44 - batch_cost: 2.1416 - reader cost: 0.0086 49/125 [==========>...................] - ETA: 2:42 - batch_cost: 2.1405 - reader cost: 0.0085 50/125 [===========>..................] - ETA: 2:40 - batch_cost: 2.1391 - reader cost: 0.0083 51/125 [===========>..................] - ETA: 2:38 - batch_cost: 2.1385 - reader cost: 0.0081 52/125 [===========>..................] - ETA: 2:36 - batch_cost: 2.1372 - reader cost: 0.0080 53/125 [===========>..................] - ETA: 2:33 - batch_cost: 2.1372 - reader cost: 0.0078 54/125 [===========>..................] - ETA: 2:31 - batch_cost: 2.1362 - reader cost: 0.0077 55/125 [============>.................] - ETA: 2:29 - batch_cost: 2.1348 - reader cost: 0.0076 56/125 [============>.................] - ETA: 2:27 - batch_cost: 2.1338 - reader cost: 0.0074 57/125 [============>.................] - ETA: 2:25 - batch_cost: 2.1331 - reader cost: 0.0073 58/125 [============>.................] - ETA: 2:22 - batch_cost: 2.1324 - reader cost: 0.0072 59/125 [=============>................] - ETA: 2:20 - batch_cost: 2.1320 - reader cost: 0.0071 60/125 [=============>................] - ETA: 2:18 - batch_cost: 2.1312 - reader cost: 0.0070 61/125 [=============>................] - ETA: 2:16 - batch_cost: 2.1306 - reader cost: 0.0068 62/125 [=============>................] - ETA: 2:14 - batch_cost: 2.1303 - reader cost: 0.0067 63/125 [==============>...............] - ETA: 2:12 - batch_cost: 2.1304 - reader cost: 0.0066 64/125 [==============>...............] - ETA: 2:09 - batch_cost: 2.1295 - reader cost: 0.0065 65/125 [==============>...............] - ETA: 2:07 - batch_cost: 2.1297 - reader cost: 0.0064 66/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.1288 - reader cost: 0.0063 67/125 [===============>..............] - ETA: 2:03 - batch_cost: 2.1279 - reader cost: 0.0062 68/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1268 - reader cost: 0.0062 69/125 [===============>..............] - ETA: 1:59 - batch_cost: 2.1268 - reader cost: 0.0061 70/125 [===============>..............] - ETA: 1:56 - batch_cost: 2.1267 - reader cost: 0.0060 71/125 [================>.............] - ETA: 1:54 - batch_cost: 2.1264 - reader cost: 0.0059 72/125 [================>.............] - ETA: 1:52 - batch_cost: 2.1259 - reader cost: 0.0058 73/125 [================>.............] - ETA: 1:50 - batch_cost: 2.1252 - reader cost: 0.0058 74/125 [================>.............] - ETA: 1:48 - batch_cost: 2.1245 - reader cost: 0.0057 75/125 [=================>............] - ETA: 1:46 - batch_cost: 2.1241 - reader cost: 0.0056 76/125 [=================>............] - ETA: 1:44 - batch_cost: 2.1237 - reader cost: 0.0055 77/125 [=================>............] - ETA: 1:41 - batch_cost: 2.1238 - reader cost: 0.0055 78/125 [=================>............] - ETA: 1:39 - batch_cost: 2.1235 - reader cost: 0.0054 79/125 [=================>............] - ETA: 1:37 - batch_cost: 2.1225 - reader cost: 0.0053 80/125 [==================>...........] - ETA: 1:35 - batch_cost: 2.1225 - reader cost: 0.0053 81/125 [==================>...........] - ETA: 1:33 - batch_cost: 2.1217 - reader cost: 0.0052 82/125 [==================>...........] - ETA: 1:31 - batch_cost: 2.1209 - reader cost: 0.0051 83/125 [==================>...........] - ETA: 1:29 - batch_cost: 2.1199 - reader cost: 0.0051 84/125 [===================>..........] - ETA: 1:26 - batch_cost: 2.1201 - reader cost: 0.0050 85/125 [===================>..........] - ETA: 1:24 - batch_cost: 2.1198 - reader cost: 0.0050 86/125 [===================>..........] - ETA: 1:22 - batch_cost: 2.1200 - reader cost: 0.0049 87/125 [===================>..........] - ETA: 1:20 - batch_cost: 2.1198 - reader cost: 0.0049 88/125 [====================>.........] - ETA: 1:18 - batch_cost: 2.1199 - reader cost: 0.0048 89/125 [====================>.........] - ETA: 1:16 - batch_cost: 2.1195 - reader cost: 0.0048 90/125 [====================>.........] - ETA: 1:14 - batch_cost: 2.1196 - reader cost: 0.0047 91/125 [====================>.........] - ETA: 1:12 - batch_cost: 2.1195 - reader cost: 0.0047 92/125 [=====================>........] - ETA: 1:09 - batch_cost: 2.1191 - reader cost: 0.0046 93/125 [=====================>........] - ETA: 1:07 - batch_cost: 2.1189 - reader cost: 0.0046 94/125 [=====================>........] - ETA: 1:05 - batch_cost: 2.1188 - reader cost: 0.0045 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1190 - reader cost: 0.0045 96/125 [======================>.......] - ETA: 1:01 - batch_cost: 2.1186 - reader cost: 0.0044 97/125 [======================>.......] - ETA: 59s - batch_cost: 2.1181 - reader cost: 0.0044  98/125 [======================>.......] - ETA: 57s - batch_cost: 2.1179 - reader cost: 0.0043 99/125 [======================>.......] - ETA: 55s - batch_cost: 2.1178 - reader cost: 0.0043 100/125 [=======================>......] - ETA: 52s - batch_cost: 2.1174 - reader cost: 0.0043 101/125 [=======================>......] - ETA: 50s - batch_cost: 2.1173 - reader cost: 0.0042 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1171 - reader cost: 0.0042 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1171 - reader cost: 0.0041 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1173 - reader cost: 0.0041 105/125 [========================>.....] - ETA: 42s - batch_cost: 2.1174 - reader cost: 0.0041 106/125 [========================>.....] - ETA: 40s - batch_cost: 2.1171 - reader cost: 0.0040 107/125 [========================>.....] - ETA: 38s - batch_cost: 2.1172 - reader cost: 0.0040 108/125 [========================>.....] - ETA: 35s - batch_cost: 2.1168 - reader cost: 0.0040 109/125 [=========================>....] - ETA: 33s - batch_cost: 2.1166 - reader cost: 0.0039 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.1166 - reader cost: 0.0039 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.1165 - reader cost: 0.0038 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.1159 - reader cost: 0.0038 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.1157 - reader cost: 0.0038 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.1153 - reader cost: 0.0038 115/125 [==========================>...] - ETA: 21s - batch_cost: 2.1154 - reader cost: 0.0037 116/125 [==========================>...] - ETA: 19s - batch_cost: 2.1151 - reader cost: 0.0037 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.1148 - reader cost: 0.0037 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.1145 - reader cost: 0.0036 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.1141 - reader cost: 0.0036 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.1143 - reader cost: 0.0036 121/125 [============================>.] - ETA: 8s - batch_cost: 2.1143 - reader cost: 0.0035  122/125 [============================>.] - ETA: 6s - batch_cost: 2.1140 - reader cost: 0.0035 123/125 [============================>.] - ETA: 4s - batch_cost: 2.1138 - reader cost: 0.0035 124/125 [============================>.] - ETA: 2s - batch_cost: 2.1133 - reader cost: 0.0035 125/125 [==============================] - 264s 2s/step - batch_cost: 2.1128 - reader cost: 0.0034 2021-08-23 18:58:47 [INFO] [EVAL] #Images: 500 mIoU: 0.8247 Acc: 0.9675 Kappa: 0.9578 2021-08-23 18:58:47 [INFO] [EVAL] Class IoU: [0.984 0.87 0.9385 0.7015 0.6648 0.7038 0.7595 0.8274 0.9326 0.661 0.9571 0.8491 0.6722 0.9595 0.8843 0.9091 0.8693 0.7231 0.8021] 2021-08-23 18:58:47 [INFO] [EVAL] Class Acc: [0.993 0.9233 0.9662 0.9004 0.87 0.8434 0.8649 0.9183 0.9586 0.8544 0.9735 0.9099 0.8121 0.9767 0.9602 0.95 0.963 0.8622 0.8763] 2021-08-23 18:58:51 [INFO] [EVAL] The model with the best validation mIoU (0.8247) was saved at iter 152000. 2021-08-23 18:59:03 [INFO] [TRAIN] epoch: 409, iter: 152010/160000, loss: 0.0450, lr: 0.000003, batch_cost: 1.2142, reader_cost: 0.00070, ips: 1.6471 samples/sec | ETA 02:41:41 2021-08-23 18:59:15 [INFO] [TRAIN] epoch: 409, iter: 152020/160000, loss: 0.0455, lr: 0.000003, batch_cost: 1.2166, reader_cost: 0.00022, ips: 1.6439 samples/sec | ETA 02:41:48 2021-08-23 18:59:27 [INFO] [TRAIN] epoch: 409, iter: 152030/160000, loss: 0.0526, lr: 0.000003, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6369 samples/sec | ETA 02:42:18 2021-08-23 18:59:40 [INFO] [TRAIN] epoch: 409, iter: 152040/160000, loss: 0.0464, lr: 0.000003, batch_cost: 1.2270, reader_cost: 0.00022, ips: 1.6301 samples/sec | ETA 02:42:46 2021-08-23 18:59:52 [INFO] [TRAIN] epoch: 409, iter: 152050/160000, loss: 0.0488, lr: 0.000003, batch_cost: 1.2166, reader_cost: 0.00022, ips: 1.6439 samples/sec | ETA 02:41:11 2021-08-23 19:00:04 [INFO] [TRAIN] epoch: 409, iter: 152060/160000, loss: 0.0510, lr: 0.000003, batch_cost: 1.2150, reader_cost: 0.00023, ips: 1.6461 samples/sec | ETA 02:40:46 2021-08-23 19:00:16 [INFO] [TRAIN] epoch: 409, iter: 152070/160000, loss: 0.0352, lr: 0.000003, batch_cost: 1.2311, reader_cost: 0.00021, ips: 1.6246 samples/sec | ETA 02:42:42 2021-08-23 19:00:29 [INFO] [TRAIN] epoch: 409, iter: 152080/160000, loss: 0.0456, lr: 0.000003, batch_cost: 1.2434, reader_cost: 0.00023, ips: 1.6085 samples/sec | ETA 02:44:07 2021-08-23 19:00:41 [INFO] [TRAIN] epoch: 409, iter: 152090/160000, loss: 0.0542, lr: 0.000003, batch_cost: 1.2254, reader_cost: 0.00023, ips: 1.6321 samples/sec | ETA 02:41:33 2021-08-23 19:00:53 [INFO] [TRAIN] epoch: 409, iter: 152100/160000, loss: 0.0441, lr: 0.000003, batch_cost: 1.2152, reader_cost: 0.00020, ips: 1.6458 samples/sec | ETA 02:40:00 2021-08-23 19:01:05 [INFO] [TRAIN] epoch: 409, iter: 152110/160000, loss: 0.0456, lr: 0.000003, batch_cost: 1.2155, reader_cost: 0.00020, ips: 1.6455 samples/sec | ETA 02:39:49 2021-08-23 19:01:17 [INFO] [TRAIN] epoch: 409, iter: 152120/160000, loss: 0.0443, lr: 0.000003, batch_cost: 1.2089, reader_cost: 0.00021, ips: 1.6544 samples/sec | ETA 02:38:46 2021-08-23 19:01:30 [INFO] [TRAIN] epoch: 409, iter: 152130/160000, loss: 0.0391, lr: 0.000003, batch_cost: 1.2105, reader_cost: 0.00021, ips: 1.6522 samples/sec | ETA 02:38:46 2021-08-23 19:01:42 [INFO] [TRAIN] epoch: 409, iter: 152140/160000, loss: 0.0388, lr: 0.000003, batch_cost: 1.2240, reader_cost: 0.00020, ips: 1.6340 samples/sec | ETA 02:40:20 2021-08-23 19:01:56 [INFO] [TRAIN] epoch: 410, iter: 152150/160000, loss: 0.0497, lr: 0.000003, batch_cost: 1.4605, reader_cost: 0.21194, ips: 1.3694 samples/sec | ETA 03:11:04 2021-08-23 19:02:09 [INFO] [TRAIN] epoch: 410, iter: 152160/160000, loss: 0.0494, lr: 0.000003, batch_cost: 1.2291, reader_cost: 0.00077, ips: 1.6272 samples/sec | ETA 02:40:36 2021-08-23 19:02:21 [INFO] [TRAIN] epoch: 410, iter: 152170/160000, loss: 0.0570, lr: 0.000003, batch_cost: 1.2200, reader_cost: 0.00022, ips: 1.6393 samples/sec | ETA 02:39:12 2021-08-23 19:02:33 [INFO] [TRAIN] epoch: 410, iter: 152180/160000, loss: 0.0489, lr: 0.000003, batch_cost: 1.2125, reader_cost: 0.00022, ips: 1.6495 samples/sec | ETA 02:38:01 2021-08-23 19:02:45 [INFO] [TRAIN] epoch: 410, iter: 152190/160000, loss: 0.0468, lr: 0.000003, batch_cost: 1.2224, reader_cost: 0.00020, ips: 1.6361 samples/sec | ETA 02:39:06 2021-08-23 19:02:57 [INFO] [TRAIN] epoch: 410, iter: 152200/160000, loss: 0.0517, lr: 0.000003, batch_cost: 1.2172, reader_cost: 0.00022, ips: 1.6431 samples/sec | ETA 02:38:14 2021-08-23 19:03:10 [INFO] [TRAIN] epoch: 410, iter: 152210/160000, loss: 0.0423, lr: 0.000003, batch_cost: 1.2369, reader_cost: 0.00021, ips: 1.6169 samples/sec | ETA 02:40:35 2021-08-23 19:03:22 [INFO] [TRAIN] epoch: 410, iter: 152220/160000, loss: 0.0383, lr: 0.000003, batch_cost: 1.2367, reader_cost: 0.00022, ips: 1.6172 samples/sec | ETA 02:40:21 2021-08-23 19:03:35 [INFO] [TRAIN] epoch: 410, iter: 152230/160000, loss: 0.0383, lr: 0.000003, batch_cost: 1.2436, reader_cost: 0.00023, ips: 1.6082 samples/sec | ETA 02:41:03 2021-08-23 19:03:47 [INFO] [TRAIN] epoch: 410, iter: 152240/160000, loss: 0.0412, lr: 0.000003, batch_cost: 1.2393, reader_cost: 0.00022, ips: 1.6138 samples/sec | ETA 02:40:16 2021-08-23 19:03:59 [INFO] [TRAIN] epoch: 410, iter: 152250/160000, loss: 0.0479, lr: 0.000003, batch_cost: 1.2278, reader_cost: 0.00022, ips: 1.6289 samples/sec | ETA 02:38:35 2021-08-23 19:04:12 [INFO] [TRAIN] epoch: 410, iter: 152260/160000, loss: 0.0455, lr: 0.000003, batch_cost: 1.2228, reader_cost: 0.00021, ips: 1.6355 samples/sec | ETA 02:37:44 2021-08-23 19:04:24 [INFO] [TRAIN] epoch: 410, iter: 152270/160000, loss: 0.0461, lr: 0.000003, batch_cost: 1.2378, reader_cost: 0.00022, ips: 1.6158 samples/sec | ETA 02:39:28 2021-08-23 19:04:36 [INFO] [TRAIN] epoch: 410, iter: 152280/160000, loss: 0.0457, lr: 0.000003, batch_cost: 1.2292, reader_cost: 0.00021, ips: 1.6271 samples/sec | ETA 02:38:09 2021-08-23 19:04:49 [INFO] [TRAIN] epoch: 410, iter: 152290/160000, loss: 0.0494, lr: 0.000003, batch_cost: 1.2390, reader_cost: 0.00023, ips: 1.6142 samples/sec | ETA 02:39:12 2021-08-23 19:05:01 [INFO] [TRAIN] epoch: 410, iter: 152300/160000, loss: 0.0513, lr: 0.000003, batch_cost: 1.2284, reader_cost: 0.00021, ips: 1.6281 samples/sec | ETA 02:37:38 2021-08-23 19:05:13 [INFO] [TRAIN] epoch: 410, iter: 152310/160000, loss: 0.0532, lr: 0.000003, batch_cost: 1.2238, reader_cost: 0.00023, ips: 1.6342 samples/sec | ETA 02:36:51 2021-08-23 19:05:25 [INFO] [TRAIN] epoch: 410, iter: 152320/160000, loss: 0.0483, lr: 0.000003, batch_cost: 1.2223, reader_cost: 0.00022, ips: 1.6362 samples/sec | ETA 02:36:27 2021-08-23 19:05:38 [INFO] [TRAIN] epoch: 410, iter: 152330/160000, loss: 0.0459, lr: 0.000003, batch_cost: 1.2262, reader_cost: 0.00024, ips: 1.6311 samples/sec | ETA 02:36:44 2021-08-23 19:05:50 [INFO] [TRAIN] epoch: 410, iter: 152340/160000, loss: 0.0454, lr: 0.000003, batch_cost: 1.2165, reader_cost: 0.00024, ips: 1.6441 samples/sec | ETA 02:35:18 2021-08-23 19:06:02 [INFO] [TRAIN] epoch: 410, iter: 152350/160000, loss: 0.0416, lr: 0.000003, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6373 samples/sec | ETA 02:35:44 2021-08-23 19:06:14 [INFO] [TRAIN] epoch: 410, iter: 152360/160000, loss: 0.0508, lr: 0.000003, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6359 samples/sec | ETA 02:35:40 2021-08-23 19:06:26 [INFO] [TRAIN] epoch: 410, iter: 152370/160000, loss: 0.0598, lr: 0.000003, batch_cost: 1.2222, reader_cost: 0.00023, ips: 1.6364 samples/sec | ETA 02:35:25 2021-08-23 19:06:39 [INFO] [TRAIN] epoch: 410, iter: 152380/160000, loss: 0.0436, lr: 0.000003, batch_cost: 1.2330, reader_cost: 0.00022, ips: 1.6221 samples/sec | ETA 02:36:35 2021-08-23 19:06:51 [INFO] [TRAIN] epoch: 410, iter: 152390/160000, loss: 0.0452, lr: 0.000003, batch_cost: 1.2292, reader_cost: 0.00021, ips: 1.6270 samples/sec | ETA 02:35:54 2021-08-23 19:07:03 [INFO] [TRAIN] epoch: 410, iter: 152400/160000, loss: 0.0416, lr: 0.000003, batch_cost: 1.2194, reader_cost: 0.00022, ips: 1.6401 samples/sec | ETA 02:34:27 2021-08-23 19:07:15 [INFO] [TRAIN] epoch: 410, iter: 152410/160000, loss: 0.0512, lr: 0.000003, batch_cost: 1.2143, reader_cost: 0.00022, ips: 1.6470 samples/sec | ETA 02:33:36 2021-08-23 19:07:28 [INFO] [TRAIN] epoch: 410, iter: 152420/160000, loss: 0.0424, lr: 0.000003, batch_cost: 1.2131, reader_cost: 0.00022, ips: 1.6486 samples/sec | ETA 02:33:15 2021-08-23 19:07:40 [INFO] [TRAIN] epoch: 410, iter: 152430/160000, loss: 0.0458, lr: 0.000003, batch_cost: 1.2160, reader_cost: 0.00021, ips: 1.6447 samples/sec | ETA 02:33:25 2021-08-23 19:07:52 [INFO] [TRAIN] epoch: 410, iter: 152440/160000, loss: 0.0475, lr: 0.000003, batch_cost: 1.2093, reader_cost: 0.00020, ips: 1.6538 samples/sec | ETA 02:32:22 2021-08-23 19:08:04 [INFO] [TRAIN] epoch: 410, iter: 152450/160000, loss: 0.0467, lr: 0.000003, batch_cost: 1.2302, reader_cost: 0.00022, ips: 1.6257 samples/sec | ETA 02:34:48 2021-08-23 19:08:16 [INFO] [TRAIN] epoch: 410, iter: 152460/160000, loss: 0.0482, lr: 0.000003, batch_cost: 1.2340, reader_cost: 0.00023, ips: 1.6208 samples/sec | ETA 02:35:04 2021-08-23 19:08:29 [INFO] [TRAIN] epoch: 410, iter: 152470/160000, loss: 0.0416, lr: 0.000003, batch_cost: 1.2376, reader_cost: 0.00022, ips: 1.6161 samples/sec | ETA 02:35:19 2021-08-23 19:08:41 [INFO] [TRAIN] epoch: 410, iter: 152480/160000, loss: 0.0491, lr: 0.000003, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6318 samples/sec | ETA 02:33:36 2021-08-23 19:08:53 [INFO] [TRAIN] epoch: 410, iter: 152490/160000, loss: 0.0600, lr: 0.000003, batch_cost: 1.2248, reader_cost: 0.00021, ips: 1.6330 samples/sec | ETA 02:33:17 2021-08-23 19:09:05 [INFO] [TRAIN] epoch: 410, iter: 152500/160000, loss: 0.0568, lr: 0.000003, batch_cost: 1.2182, reader_cost: 0.00023, ips: 1.6418 samples/sec | ETA 02:32:16 2021-08-23 19:09:18 [INFO] [TRAIN] epoch: 410, iter: 152510/160000, loss: 0.0457, lr: 0.000003, batch_cost: 1.2393, reader_cost: 0.00021, ips: 1.6138 samples/sec | ETA 02:34:42 2021-08-23 19:09:30 [INFO] [TRAIN] epoch: 410, iter: 152520/160000, loss: 0.0549, lr: 0.000003, batch_cost: 1.1876, reader_cost: 0.00019, ips: 1.6840 samples/sec | ETA 02:28:03 2021-08-23 19:09:45 [INFO] [TRAIN] epoch: 411, iter: 152530/160000, loss: 0.0467, lr: 0.000003, batch_cost: 1.5006, reader_cost: 0.23352, ips: 1.3328 samples/sec | ETA 03:06:49 2021-08-23 19:09:57 [INFO] [TRAIN] epoch: 411, iter: 152540/160000, loss: 0.0473, lr: 0.000003, batch_cost: 1.2264, reader_cost: 0.00074, ips: 1.6307 samples/sec | ETA 02:32:29 2021-08-23 19:10:09 [INFO] [TRAIN] epoch: 411, iter: 152550/160000, loss: 0.0481, lr: 0.000003, batch_cost: 1.2414, reader_cost: 0.00023, ips: 1.6110 samples/sec | ETA 02:34:08 2021-08-23 19:10:22 [INFO] [TRAIN] epoch: 411, iter: 152560/160000, loss: 0.0464, lr: 0.000003, batch_cost: 1.2183, reader_cost: 0.00022, ips: 1.6417 samples/sec | ETA 02:31:03 2021-08-23 19:10:34 [INFO] [TRAIN] epoch: 411, iter: 152570/160000, loss: 0.0474, lr: 0.000003, batch_cost: 1.2183, reader_cost: 0.00023, ips: 1.6416 samples/sec | ETA 02:30:52 2021-08-23 19:10:46 [INFO] [TRAIN] epoch: 411, iter: 152580/160000, loss: 0.0536, lr: 0.000003, batch_cost: 1.2245, reader_cost: 0.00021, ips: 1.6333 samples/sec | ETA 02:31:26 2021-08-23 19:10:58 [INFO] [TRAIN] epoch: 411, iter: 152590/160000, loss: 0.0429, lr: 0.000003, batch_cost: 1.2257, reader_cost: 0.00022, ips: 1.6317 samples/sec | ETA 02:31:22 2021-08-23 19:11:10 [INFO] [TRAIN] epoch: 411, iter: 152600/160000, loss: 0.0480, lr: 0.000003, batch_cost: 1.2186, reader_cost: 0.00022, ips: 1.6413 samples/sec | ETA 02:30:17 2021-08-23 19:11:23 [INFO] [TRAIN] epoch: 411, iter: 152610/160000, loss: 0.0436, lr: 0.000003, batch_cost: 1.2436, reader_cost: 0.00023, ips: 1.6082 samples/sec | ETA 02:33:10 2021-08-23 19:11:35 [INFO] [TRAIN] epoch: 411, iter: 152620/160000, loss: 0.0502, lr: 0.000003, batch_cost: 1.2197, reader_cost: 0.00020, ips: 1.6398 samples/sec | ETA 02:30:01 2021-08-23 19:11:47 [INFO] [TRAIN] epoch: 411, iter: 152630/160000, loss: 0.0465, lr: 0.000003, batch_cost: 1.2323, reader_cost: 0.00022, ips: 1.6229 samples/sec | ETA 02:31:22 2021-08-23 19:12:00 [INFO] [TRAIN] epoch: 411, iter: 152640/160000, loss: 0.0479, lr: 0.000003, batch_cost: 1.2517, reader_cost: 0.00024, ips: 1.5978 samples/sec | ETA 02:33:32 2021-08-23 19:12:12 [INFO] [TRAIN] epoch: 411, iter: 152650/160000, loss: 0.0470, lr: 0.000003, batch_cost: 1.2403, reader_cost: 0.00021, ips: 1.6125 samples/sec | ETA 02:31:56 2021-08-23 19:12:25 [INFO] [TRAIN] epoch: 411, iter: 152660/160000, loss: 0.0535, lr: 0.000003, batch_cost: 1.2498, reader_cost: 0.00024, ips: 1.6003 samples/sec | ETA 02:32:53 2021-08-23 19:12:37 [INFO] [TRAIN] epoch: 411, iter: 152670/160000, loss: 0.0552, lr: 0.000003, batch_cost: 1.2306, reader_cost: 0.00025, ips: 1.6253 samples/sec | ETA 02:30:20 2021-08-23 19:12:49 [INFO] [TRAIN] epoch: 411, iter: 152680/160000, loss: 0.0506, lr: 0.000003, batch_cost: 1.2218, reader_cost: 0.00022, ips: 1.6370 samples/sec | ETA 02:29:03 2021-08-23 19:13:02 [INFO] [TRAIN] epoch: 411, iter: 152690/160000, loss: 0.0509, lr: 0.000003, batch_cost: 1.2216, reader_cost: 0.00023, ips: 1.6372 samples/sec | ETA 02:28:49 2021-08-23 19:13:14 [INFO] [TRAIN] epoch: 411, iter: 152700/160000, loss: 0.0504, lr: 0.000003, batch_cost: 1.2256, reader_cost: 0.00021, ips: 1.6319 samples/sec | ETA 02:29:06 2021-08-23 19:13:26 [INFO] [TRAIN] epoch: 411, iter: 152710/160000, loss: 0.0480, lr: 0.000003, batch_cost: 1.2293, reader_cost: 0.00021, ips: 1.6269 samples/sec | ETA 02:29:21 2021-08-23 19:13:39 [INFO] [TRAIN] epoch: 411, iter: 152720/160000, loss: 0.0395, lr: 0.000003, batch_cost: 1.2352, reader_cost: 0.00023, ips: 1.6191 samples/sec | ETA 02:29:52 2021-08-23 19:13:51 [INFO] [TRAIN] epoch: 411, iter: 152730/160000, loss: 0.0400, lr: 0.000003, batch_cost: 1.2269, reader_cost: 0.00022, ips: 1.6302 samples/sec | ETA 02:28:39 2021-08-23 19:14:03 [INFO] [TRAIN] epoch: 411, iter: 152740/160000, loss: 0.0467, lr: 0.000003, batch_cost: 1.2167, reader_cost: 0.00021, ips: 1.6438 samples/sec | ETA 02:27:12 2021-08-23 19:14:15 [INFO] [TRAIN] epoch: 411, iter: 152750/160000, loss: 0.0488, lr: 0.000003, batch_cost: 1.2228, reader_cost: 0.00022, ips: 1.6355 samples/sec | ETA 02:27:45 2021-08-23 19:14:27 [INFO] [TRAIN] epoch: 411, iter: 152760/160000, loss: 0.0471, lr: 0.000003, batch_cost: 1.2268, reader_cost: 0.00022, ips: 1.6303 samples/sec | ETA 02:28:01 2021-08-23 19:14:40 [INFO] [TRAIN] epoch: 411, iter: 152770/160000, loss: 0.0507, lr: 0.000003, batch_cost: 1.2231, reader_cost: 0.00022, ips: 1.6352 samples/sec | ETA 02:27:22 2021-08-23 19:14:52 [INFO] [TRAIN] epoch: 411, iter: 152780/160000, loss: 0.0584, lr: 0.000003, batch_cost: 1.2376, reader_cost: 0.00022, ips: 1.6160 samples/sec | ETA 02:28:55 2021-08-23 19:15:04 [INFO] [TRAIN] epoch: 411, iter: 152790/160000, loss: 0.0548, lr: 0.000003, batch_cost: 1.2355, reader_cost: 0.00023, ips: 1.6188 samples/sec | ETA 02:28:27 2021-08-23 19:15:17 [INFO] [TRAIN] epoch: 411, iter: 152800/160000, loss: 0.0497, lr: 0.000003, batch_cost: 1.2175, reader_cost: 0.00022, ips: 1.6427 samples/sec | ETA 02:26:06 2021-08-23 19:15:29 [INFO] [TRAIN] epoch: 411, iter: 152810/160000, loss: 0.0449, lr: 0.000003, batch_cost: 1.2173, reader_cost: 0.00022, ips: 1.6430 samples/sec | ETA 02:25:52 2021-08-23 19:15:41 [INFO] [TRAIN] epoch: 411, iter: 152820/160000, loss: 0.0551, lr: 0.000003, batch_cost: 1.2362, reader_cost: 0.00023, ips: 1.6179 samples/sec | ETA 02:27:55 2021-08-23 19:15:53 [INFO] [TRAIN] epoch: 411, iter: 152830/160000, loss: 0.0481, lr: 0.000003, batch_cost: 1.2300, reader_cost: 0.00022, ips: 1.6260 samples/sec | ETA 02:26:59 2021-08-23 19:16:06 [INFO] [TRAIN] epoch: 411, iter: 152840/160000, loss: 0.0454, lr: 0.000003, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6364 samples/sec | ETA 02:25:50 2021-08-23 19:16:18 [INFO] [TRAIN] epoch: 411, iter: 152850/160000, loss: 0.0428, lr: 0.000003, batch_cost: 1.2312, reader_cost: 0.00022, ips: 1.6244 samples/sec | ETA 02:26:43 2021-08-23 19:16:30 [INFO] [TRAIN] epoch: 411, iter: 152860/160000, loss: 0.0512, lr: 0.000003, batch_cost: 1.2210, reader_cost: 0.00022, ips: 1.6380 samples/sec | ETA 02:25:17 2021-08-23 19:16:42 [INFO] [TRAIN] epoch: 411, iter: 152870/160000, loss: 0.0491, lr: 0.000003, batch_cost: 1.2195, reader_cost: 0.00022, ips: 1.6400 samples/sec | ETA 02:24:54 2021-08-23 19:16:55 [INFO] [TRAIN] epoch: 411, iter: 152880/160000, loss: 0.0455, lr: 0.000003, batch_cost: 1.2339, reader_cost: 0.00023, ips: 1.6208 samples/sec | ETA 02:26:25 2021-08-23 19:17:07 [INFO] [TRAIN] epoch: 411, iter: 152890/160000, loss: 0.0442, lr: 0.000003, batch_cost: 1.1831, reader_cost: 0.00015, ips: 1.6905 samples/sec | ETA 02:20:11 2021-08-23 19:17:22 [INFO] [TRAIN] epoch: 412, iter: 152900/160000, loss: 0.0513, lr: 0.000003, batch_cost: 1.4971, reader_cost: 0.22305, ips: 1.3360 samples/sec | ETA 02:57:09 2021-08-23 19:17:34 [INFO] [TRAIN] epoch: 412, iter: 152910/160000, loss: 0.0462, lr: 0.000003, batch_cost: 1.2284, reader_cost: 0.00073, ips: 1.6281 samples/sec | ETA 02:25:09 2021-08-23 19:17:46 [INFO] [TRAIN] epoch: 412, iter: 152920/160000, loss: 0.0504, lr: 0.000003, batch_cost: 1.2219, reader_cost: 0.00021, ips: 1.6367 samples/sec | ETA 02:24:11 2021-08-23 19:17:58 [INFO] [TRAIN] epoch: 412, iter: 152930/160000, loss: 0.0572, lr: 0.000003, batch_cost: 1.2255, reader_cost: 0.00022, ips: 1.6319 samples/sec | ETA 02:24:24 2021-08-23 19:18:11 [INFO] [TRAIN] epoch: 412, iter: 152940/160000, loss: 0.0432, lr: 0.000003, batch_cost: 1.2291, reader_cost: 0.00023, ips: 1.6272 samples/sec | ETA 02:24:37 2021-08-23 19:18:23 [INFO] [TRAIN] epoch: 412, iter: 152950/160000, loss: 0.0478, lr: 0.000003, batch_cost: 1.2331, reader_cost: 0.00024, ips: 1.6220 samples/sec | ETA 02:24:53 2021-08-23 19:18:35 [INFO] [TRAIN] epoch: 412, iter: 152960/160000, loss: 0.0364, lr: 0.000003, batch_cost: 1.2164, reader_cost: 0.00021, ips: 1.6442 samples/sec | ETA 02:22:43 2021-08-23 19:18:47 [INFO] [TRAIN] epoch: 412, iter: 152970/160000, loss: 0.0449, lr: 0.000003, batch_cost: 1.2087, reader_cost: 0.00021, ips: 1.6547 samples/sec | ETA 02:21:36 2021-08-23 19:18:59 [INFO] [TRAIN] epoch: 412, iter: 152980/160000, loss: 0.0412, lr: 0.000003, batch_cost: 1.2293, reader_cost: 0.00022, ips: 1.6270 samples/sec | ETA 02:23:49 2021-08-23 19:19:12 [INFO] [TRAIN] epoch: 412, iter: 152990/160000, loss: 0.0369, lr: 0.000003, batch_cost: 1.2177, reader_cost: 0.00023, ips: 1.6425 samples/sec | ETA 02:22:15 2021-08-23 19:19:24 [INFO] [TRAIN] epoch: 412, iter: 153000/160000, loss: 0.0563, lr: 0.000003, batch_cost: 1.2183, reader_cost: 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loss: 0.0408, lr: 0.000003, batch_cost: 1.2316, reader_cost: 0.00023, ips: 1.6239 samples/sec | ETA 02:22:27 2021-08-23 19:20:50 [INFO] [TRAIN] epoch: 412, iter: 153070/160000, loss: 0.0472, lr: 0.000003, batch_cost: 1.2256, reader_cost: 0.00021, ips: 1.6318 samples/sec | ETA 02:21:33 2021-08-23 19:21:02 [INFO] [TRAIN] epoch: 412, iter: 153080/160000, loss: 0.0518, lr: 0.000003, batch_cost: 1.2204, reader_cost: 0.00022, ips: 1.6388 samples/sec | ETA 02:20:45 2021-08-23 19:21:14 [INFO] [TRAIN] epoch: 412, iter: 153090/160000, loss: 0.0464, lr: 0.000003, batch_cost: 1.2224, reader_cost: 0.00023, ips: 1.6362 samples/sec | ETA 02:20:46 2021-08-23 19:21:26 [INFO] [TRAIN] epoch: 412, iter: 153100/160000, loss: 0.0592, lr: 0.000003, batch_cost: 1.2282, reader_cost: 0.00023, ips: 1.6284 samples/sec | ETA 02:21:14 2021-08-23 19:21:39 [INFO] [TRAIN] epoch: 412, iter: 153110/160000, loss: 0.0427, lr: 0.000003, batch_cost: 1.2199, reader_cost: 0.00021, ips: 1.6395 samples/sec | ETA 02:20:05 2021-08-23 19:21:51 [INFO] [TRAIN] epoch: 412, iter: 153120/160000, loss: 0.0526, lr: 0.000003, batch_cost: 1.2343, reader_cost: 0.00021, ips: 1.6203 samples/sec | ETA 02:21:32 2021-08-23 19:22:03 [INFO] [TRAIN] epoch: 412, iter: 153130/160000, loss: 0.0493, lr: 0.000003, batch_cost: 1.2281, reader_cost: 0.00023, ips: 1.6285 samples/sec | ETA 02:20:37 2021-08-23 19:22:15 [INFO] [TRAIN] epoch: 412, iter: 153140/160000, loss: 0.0509, lr: 0.000003, batch_cost: 1.2277, reader_cost: 0.00023, ips: 1.6291 samples/sec | ETA 02:20:21 2021-08-23 19:22:28 [INFO] [TRAIN] epoch: 412, iter: 153150/160000, loss: 0.0543, lr: 0.000003, batch_cost: 1.2281, reader_cost: 0.00021, ips: 1.6285 samples/sec | ETA 02:20:12 2021-08-23 19:22:40 [INFO] [TRAIN] epoch: 412, iter: 153160/160000, loss: 0.0403, lr: 0.000003, batch_cost: 1.2128, reader_cost: 0.00021, ips: 1.6491 samples/sec | ETA 02:18:15 2021-08-23 19:22:52 [INFO] [TRAIN] epoch: 412, iter: 153170/160000, loss: 0.0479, lr: 0.000003, batch_cost: 1.2110, 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02:16:28 2021-08-23 19:25:21 [INFO] [TRAIN] epoch: 413, iter: 153290/160000, loss: 0.0518, lr: 0.000003, batch_cost: 1.2440, reader_cost: 0.00021, ips: 1.6078 samples/sec | ETA 02:19:06 2021-08-23 19:25:34 [INFO] [TRAIN] epoch: 413, iter: 153300/160000, loss: 0.0549, lr: 0.000003, batch_cost: 1.2433, reader_cost: 0.00020, ips: 1.6086 samples/sec | ETA 02:18:50 2021-08-23 19:25:46 [INFO] [TRAIN] epoch: 413, iter: 153310/160000, loss: 0.0448, lr: 0.000003, batch_cost: 1.2321, reader_cost: 0.00022, ips: 1.6233 samples/sec | ETA 02:17:22 2021-08-23 19:25:59 [INFO] [TRAIN] epoch: 413, iter: 153320/160000, loss: 0.0531, lr: 0.000003, batch_cost: 1.2447, reader_cost: 0.00022, ips: 1.6068 samples/sec | ETA 02:18:34 2021-08-23 19:26:11 [INFO] [TRAIN] epoch: 413, iter: 153330/160000, loss: 0.0594, lr: 0.000003, batch_cost: 1.2208, reader_cost: 0.00024, ips: 1.6383 samples/sec | ETA 02:15:42 2021-08-23 19:26:23 [INFO] [TRAIN] epoch: 413, iter: 153340/160000, loss: 0.0492, lr: 0.000002, batch_cost: 1.2261, reader_cost: 0.00022, ips: 1.6312 samples/sec | ETA 02:16:05 2021-08-23 19:26:35 [INFO] [TRAIN] epoch: 413, iter: 153350/160000, loss: 0.0496, lr: 0.000002, batch_cost: 1.2266, reader_cost: 0.00023, ips: 1.6306 samples/sec | ETA 02:15:56 2021-08-23 19:26:48 [INFO] [TRAIN] epoch: 413, iter: 153360/160000, loss: 0.0526, lr: 0.000002, batch_cost: 1.2306, reader_cost: 0.00022, ips: 1.6252 samples/sec | ETA 02:16:11 2021-08-23 19:27:00 [INFO] [TRAIN] epoch: 413, iter: 153370/160000, loss: 0.0540, lr: 0.000002, batch_cost: 1.2165, reader_cost: 0.00021, ips: 1.6441 samples/sec | ETA 02:14:25 2021-08-23 19:27:12 [INFO] [TRAIN] epoch: 413, iter: 153380/160000, loss: 0.0385, lr: 0.000002, batch_cost: 1.2251, reader_cost: 0.00023, ips: 1.6325 samples/sec | ETA 02:15:10 2021-08-23 19:27:25 [INFO] [TRAIN] epoch: 413, iter: 153390/160000, loss: 0.0551, lr: 0.000002, batch_cost: 1.2456, reader_cost: 0.00022, ips: 1.6057 samples/sec | ETA 02:17:13 2021-08-23 19:27:37 [INFO] [TRAIN] epoch: 413, iter: 153400/160000, loss: 0.0391, lr: 0.000002, batch_cost: 1.2354, reader_cost: 0.00024, ips: 1.6190 samples/sec | ETA 02:15:53 2021-08-23 19:27:49 [INFO] [TRAIN] epoch: 413, iter: 153410/160000, loss: 0.0475, lr: 0.000002, batch_cost: 1.2279, reader_cost: 0.00021, ips: 1.6288 samples/sec | ETA 02:14:51 2021-08-23 19:28:01 [INFO] [TRAIN] epoch: 413, iter: 153420/160000, loss: 0.0407, lr: 0.000002, batch_cost: 1.2243, reader_cost: 0.00021, ips: 1.6335 samples/sec | ETA 02:14:16 2021-08-23 19:28:14 [INFO] [TRAIN] epoch: 413, iter: 153430/160000, loss: 0.0450, lr: 0.000002, batch_cost: 1.2309, reader_cost: 0.00021, ips: 1.6248 samples/sec | ETA 02:14:47 2021-08-23 19:28:26 [INFO] [TRAIN] epoch: 413, iter: 153440/160000, loss: 0.0533, lr: 0.000002, batch_cost: 1.2216, reader_cost: 0.00021, ips: 1.6372 samples/sec | ETA 02:13:33 2021-08-23 19:28:38 [INFO] [TRAIN] epoch: 413, iter: 153450/160000, loss: 0.0538, lr: 0.000002, batch_cost: 1.2201, reader_cost: 0.00021, ips: 1.6392 samples/sec | ETA 02:13:11 2021-08-23 19:28:51 [INFO] [TRAIN] epoch: 413, iter: 153460/160000, loss: 0.0502, lr: 0.000002, batch_cost: 1.2378, reader_cost: 0.00022, ips: 1.6158 samples/sec | ETA 02:14:55 2021-08-23 19:29:03 [INFO] [TRAIN] epoch: 413, iter: 153470/160000, loss: 0.0461, lr: 0.000002, batch_cost: 1.2096, reader_cost: 0.00022, ips: 1.6535 samples/sec | ETA 02:11:38 2021-08-23 19:29:15 [INFO] [TRAIN] epoch: 413, iter: 153480/160000, loss: 0.0491, lr: 0.000002, batch_cost: 1.2228, reader_cost: 0.00089, ips: 1.6355 samples/sec | ETA 02:12:52 2021-08-23 19:29:27 [INFO] [TRAIN] epoch: 413, iter: 153490/160000, loss: 0.0509, lr: 0.000002, batch_cost: 1.2156, reader_cost: 0.00023, ips: 1.6452 samples/sec | ETA 02:11:53 2021-08-23 19:29:39 [INFO] [TRAIN] epoch: 413, iter: 153500/160000, loss: 0.0480, lr: 0.000002, batch_cost: 1.2489, reader_cost: 0.00022, ips: 1.6014 samples/sec | ETA 02:15:17 2021-08-23 19:29:52 [INFO] [TRAIN] epoch: 413, iter: 153510/160000, loss: 0.0620, lr: 0.000002, batch_cost: 1.2386, reader_cost: 0.00024, ips: 1.6147 samples/sec | ETA 02:13:58 2021-08-23 19:30:04 [INFO] [TRAIN] epoch: 413, iter: 153520/160000, loss: 0.0416, lr: 0.000002, batch_cost: 1.2323, reader_cost: 0.00021, ips: 1.6229 samples/sec | ETA 02:13:05 2021-08-23 19:30:16 [INFO] [TRAIN] epoch: 413, iter: 153530/160000, loss: 0.0478, lr: 0.000002, batch_cost: 1.2142, reader_cost: 0.00022, ips: 1.6472 samples/sec | ETA 02:10:55 2021-08-23 19:30:29 [INFO] [TRAIN] epoch: 413, iter: 153540/160000, loss: 0.0534, lr: 0.000002, batch_cost: 1.2228, reader_cost: 0.00020, ips: 1.6357 samples/sec | ETA 02:11:38 2021-08-23 19:30:41 [INFO] [TRAIN] epoch: 413, iter: 153550/160000, loss: 0.0465, lr: 0.000002, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6329 samples/sec | ETA 02:11:40 2021-08-23 19:30:53 [INFO] [TRAIN] epoch: 413, iter: 153560/160000, loss: 0.0471, lr: 0.000002, batch_cost: 1.2425, reader_cost: 0.00022, ips: 1.6097 samples/sec | ETA 02:13:21 2021-08-23 19:31:06 [INFO] [TRAIN] epoch: 413, iter: 153570/160000, loss: 0.0422, lr: 0.000002, batch_cost: 1.2460, reader_cost: 0.00021, ips: 1.6051 samples/sec | ETA 02:13:32 2021-08-23 19:31:18 [INFO] [TRAIN] epoch: 413, iter: 153580/160000, loss: 0.0408, lr: 0.000002, batch_cost: 1.2278, reader_cost: 0.00023, ips: 1.6289 samples/sec | ETA 02:11:22 2021-08-23 19:31:30 [INFO] [TRAIN] epoch: 413, iter: 153590/160000, loss: 0.0505, lr: 0.000002, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6414 samples/sec | ETA 02:10:10 2021-08-23 19:31:42 [INFO] [TRAIN] epoch: 413, iter: 153600/160000, loss: 0.0496, lr: 0.000002, batch_cost: 1.2262, reader_cost: 0.00021, ips: 1.6310 samples/sec | ETA 02:10:47 2021-08-23 19:31:55 [INFO] [TRAIN] epoch: 413, iter: 153610/160000, loss: 0.0491, lr: 0.000002, batch_cost: 1.2220, reader_cost: 0.00022, ips: 1.6366 samples/sec | ETA 02:10:08 2021-08-23 19:32:07 [INFO] [TRAIN] epoch: 413, iter: 153620/160000, loss: 0.0524, lr: 0.000002, batch_cost: 1.2290, reader_cost: 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loss: 0.0505, lr: 0.000002, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6363 samples/sec | ETA 02:08:44 2021-08-23 19:33:35 [INFO] [TRAIN] epoch: 414, iter: 153690/160000, loss: 0.0564, lr: 0.000002, batch_cost: 1.2124, reader_cost: 0.00021, ips: 1.6496 samples/sec | ETA 02:07:30 2021-08-23 19:33:47 [INFO] [TRAIN] epoch: 414, iter: 153700/160000, loss: 0.0467, lr: 0.000002, batch_cost: 1.2277, reader_cost: 0.00023, ips: 1.6290 samples/sec | ETA 02:08:54 2021-08-23 19:33:59 [INFO] [TRAIN] epoch: 414, iter: 153710/160000, loss: 0.0527, lr: 0.000002, batch_cost: 1.2300, reader_cost: 0.00022, ips: 1.6260 samples/sec | ETA 02:08:56 2021-08-23 19:34:12 [INFO] [TRAIN] epoch: 414, iter: 153720/160000, loss: 0.0508, lr: 0.000002, batch_cost: 1.2430, reader_cost: 0.00023, ips: 1.6090 samples/sec | ETA 02:10:06 2021-08-23 19:34:24 [INFO] [TRAIN] epoch: 414, iter: 153730/160000, loss: 0.0477, lr: 0.000002, batch_cost: 1.2187, reader_cost: 0.00022, ips: 1.6411 samples/sec | ETA 02:07:21 2021-08-23 19:34:36 [INFO] [TRAIN] epoch: 414, iter: 153740/160000, loss: 0.0538, lr: 0.000002, batch_cost: 1.2142, reader_cost: 0.00021, ips: 1.6472 samples/sec | ETA 02:06:40 2021-08-23 19:34:48 [INFO] [TRAIN] epoch: 414, iter: 153750/160000, loss: 0.0541, lr: 0.000002, batch_cost: 1.2065, reader_cost: 0.00020, ips: 1.6576 samples/sec | ETA 02:05:40 2021-08-23 19:35:00 [INFO] [TRAIN] epoch: 414, iter: 153760/160000, loss: 0.0660, lr: 0.000002, batch_cost: 1.2343, reader_cost: 0.00074, ips: 1.6204 samples/sec | ETA 02:08:21 2021-08-23 19:35:13 [INFO] [TRAIN] epoch: 414, iter: 153770/160000, loss: 0.0666, lr: 0.000002, batch_cost: 1.2352, reader_cost: 0.00022, ips: 1.6192 samples/sec | ETA 02:08:15 2021-08-23 19:35:25 [INFO] [TRAIN] epoch: 414, iter: 153780/160000, loss: 0.0468, lr: 0.000002, batch_cost: 1.2302, reader_cost: 0.00021, ips: 1.6257 samples/sec | ETA 02:07:32 2021-08-23 19:35:37 [INFO] [TRAIN] epoch: 414, iter: 153790/160000, loss: 0.0449, lr: 0.000002, batch_cost: 1.2059, reader_cost: 0.00019, ips: 1.6585 samples/sec | ETA 02:04:48 2021-08-23 19:35:50 [INFO] [TRAIN] epoch: 414, iter: 153800/160000, loss: 0.0346, lr: 0.000002, batch_cost: 1.2485, reader_cost: 0.00022, ips: 1.6020 samples/sec | ETA 02:09:00 2021-08-23 19:36:02 [INFO] [TRAIN] epoch: 414, iter: 153810/160000, loss: 0.0562, lr: 0.000002, batch_cost: 1.2370, reader_cost: 0.00024, ips: 1.6168 samples/sec | ETA 02:07:36 2021-08-23 19:36:15 [INFO] [TRAIN] epoch: 414, iter: 153820/160000, loss: 0.0446, lr: 0.000002, batch_cost: 1.2449, reader_cost: 0.00024, ips: 1.6066 samples/sec | ETA 02:08:13 2021-08-23 19:36:27 [INFO] [TRAIN] epoch: 414, iter: 153830/160000, loss: 0.0513, lr: 0.000002, batch_cost: 1.2185, reader_cost: 0.00021, ips: 1.6414 samples/sec | ETA 02:05:18 2021-08-23 19:36:39 [INFO] [TRAIN] epoch: 414, iter: 153840/160000, loss: 0.0473, lr: 0.000002, batch_cost: 1.2238, reader_cost: 0.00023, ips: 1.6342 samples/sec | ETA 02:05:38 2021-08-23 19:36:51 [INFO] [TRAIN] epoch: 414, iter: 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02:03:41 2021-08-23 19:38:05 [INFO] [TRAIN] epoch: 414, iter: 153910/160000, loss: 0.0502, lr: 0.000002, batch_cost: 1.2507, reader_cost: 0.00024, ips: 1.5991 samples/sec | ETA 02:06:57 2021-08-23 19:38:17 [INFO] [TRAIN] epoch: 414, iter: 153920/160000, loss: 0.0379, lr: 0.000002, batch_cost: 1.2258, reader_cost: 0.00024, ips: 1.6316 samples/sec | ETA 02:04:12 2021-08-23 19:38:30 [INFO] [TRAIN] epoch: 414, iter: 153930/160000, loss: 0.0472, lr: 0.000002, batch_cost: 1.2218, reader_cost: 0.00022, ips: 1.6370 samples/sec | ETA 02:03:36 2021-08-23 19:38:42 [INFO] [TRAIN] epoch: 414, iter: 153940/160000, loss: 0.0427, lr: 0.000002, batch_cost: 1.2425, reader_cost: 0.00022, ips: 1.6097 samples/sec | ETA 02:05:29 2021-08-23 19:38:54 [INFO] [TRAIN] epoch: 414, iter: 153950/160000, loss: 0.0582, lr: 0.000002, batch_cost: 1.2284, reader_cost: 0.00021, ips: 1.6281 samples/sec | ETA 02:03:51 2021-08-23 19:39:07 [INFO] [TRAIN] epoch: 414, iter: 153960/160000, loss: 0.0559, lr: 0.000002, batch_cost: 1.2331, reader_cost: 0.00023, ips: 1.6220 samples/sec | ETA 02:04:07 2021-08-23 19:39:19 [INFO] [TRAIN] epoch: 414, iter: 153970/160000, loss: 0.0430, lr: 0.000002, batch_cost: 1.2437, reader_cost: 0.00025, ips: 1.6080 samples/sec | ETA 02:04:59 2021-08-23 19:39:32 [INFO] [TRAIN] epoch: 414, iter: 153980/160000, loss: 0.0500, lr: 0.000002, batch_cost: 1.2372, reader_cost: 0.00024, ips: 1.6165 samples/sec | ETA 02:04:08 2021-08-23 19:39:44 [INFO] [TRAIN] epoch: 414, iter: 153990/160000, loss: 0.0489, lr: 0.000002, batch_cost: 1.2373, reader_cost: 0.00023, ips: 1.6165 samples/sec | ETA 02:03:55 2021-08-23 19:39:56 [INFO] [TRAIN] epoch: 414, iter: 154000/160000, loss: 0.0470, lr: 0.000002, batch_cost: 1.2219, reader_cost: 0.00020, ips: 1.6368 samples/sec | ETA 02:02:11 2021-08-23 19:40:11 [INFO] [TRAIN] epoch: 415, iter: 154010/160000, loss: 0.0486, lr: 0.000002, batch_cost: 1.4770, reader_cost: 0.24346, ips: 1.3541 samples/sec | ETA 02:27:27 2021-08-23 19:40:23 [INFO] [TRAIN] epoch: 415, iter: 154020/160000, loss: 0.0492, lr: 0.000002, batch_cost: 1.2209, reader_cost: 0.00080, ips: 1.6382 samples/sec | ETA 02:01:40 2021-08-23 19:40:35 [INFO] [TRAIN] epoch: 415, iter: 154030/160000, loss: 0.0372, lr: 0.000002, batch_cost: 1.2220, reader_cost: 0.00022, ips: 1.6367 samples/sec | ETA 02:01:35 2021-08-23 19:40:47 [INFO] [TRAIN] epoch: 415, iter: 154040/160000, loss: 0.0488, lr: 0.000002, batch_cost: 1.2186, reader_cost: 0.00022, ips: 1.6412 samples/sec | ETA 02:01:02 2021-08-23 19:41:00 [INFO] [TRAIN] epoch: 415, iter: 154050/160000, loss: 0.0462, lr: 0.000002, batch_cost: 1.2225, reader_cost: 0.00021, ips: 1.6360 samples/sec | ETA 02:01:13 2021-08-23 19:41:12 [INFO] [TRAIN] epoch: 415, iter: 154060/160000, loss: 0.0402, lr: 0.000002, batch_cost: 1.2194, reader_cost: 0.00025, ips: 1.6402 samples/sec | ETA 02:00:43 2021-08-23 19:41:24 [INFO] [TRAIN] epoch: 415, iter: 154070/160000, loss: 0.0525, lr: 0.000002, batch_cost: 1.2067, reader_cost: 0.00022, ips: 1.6574 samples/sec | ETA 01:59:15 2021-08-23 19:41:36 [INFO] [TRAIN] epoch: 415, iter: 154080/160000, loss: 0.0517, lr: 0.000002, batch_cost: 1.2244, reader_cost: 0.00021, ips: 1.6334 samples/sec | ETA 02:00:48 2021-08-23 19:41:49 [INFO] [TRAIN] epoch: 415, iter: 154090/160000, loss: 0.0473, lr: 0.000002, batch_cost: 1.2681, reader_cost: 0.00022, ips: 1.5772 samples/sec | ETA 02:04:54 2021-08-23 19:42:01 [INFO] [TRAIN] epoch: 415, iter: 154100/160000, loss: 0.0634, lr: 0.000002, batch_cost: 1.2331, reader_cost: 0.00022, ips: 1.6220 samples/sec | ETA 02:01:15 2021-08-23 19:42:13 [INFO] [TRAIN] epoch: 415, iter: 154110/160000, loss: 0.0546, lr: 0.000002, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6322 samples/sec | ETA 02:00:17 2021-08-23 19:42:26 [INFO] [TRAIN] epoch: 415, iter: 154120/160000, loss: 0.0398, lr: 0.000002, batch_cost: 1.2292, reader_cost: 0.00022, ips: 1.6271 samples/sec | ETA 02:00:27 2021-08-23 19:42:38 [INFO] [TRAIN] epoch: 415, iter: 154130/160000, loss: 0.0536, lr: 0.000002, batch_cost: 1.2333, reader_cost: 0.00022, ips: 1.6217 samples/sec | ETA 02:00:39 2021-08-23 19:42:50 [INFO] [TRAIN] epoch: 415, iter: 154140/160000, loss: 0.0459, lr: 0.000002, batch_cost: 1.2218, reader_cost: 0.00021, ips: 1.6369 samples/sec | ETA 01:59:19 2021-08-23 19:43:03 [INFO] [TRAIN] epoch: 415, iter: 154150/160000, loss: 0.0454, lr: 0.000002, batch_cost: 1.2375, reader_cost: 0.00021, ips: 1.6161 samples/sec | ETA 02:00:39 2021-08-23 19:43:15 [INFO] [TRAIN] epoch: 415, iter: 154160/160000, loss: 0.0435, lr: 0.000002, batch_cost: 1.2325, reader_cost: 0.00023, ips: 1.6228 samples/sec | ETA 01:59:57 2021-08-23 19:43:27 [INFO] [TRAIN] epoch: 415, iter: 154170/160000, loss: 0.0538, lr: 0.000002, batch_cost: 1.2225, reader_cost: 0.00022, ips: 1.6360 samples/sec | ETA 01:58:47 2021-08-23 19:43:39 [INFO] [TRAIN] epoch: 415, iter: 154180/160000, loss: 0.0530, lr: 0.000002, batch_cost: 1.2144, reader_cost: 0.00022, ips: 1.6469 samples/sec | ETA 01:57:47 2021-08-23 19:43:52 [INFO] [TRAIN] epoch: 415, iter: 154190/160000, loss: 0.0476, lr: 0.000002, batch_cost: 1.2199, reader_cost: 0.00022, ips: 1.6394 samples/sec | ETA 01:58:07 2021-08-23 19:44:04 [INFO] [TRAIN] epoch: 415, iter: 154200/160000, loss: 0.0488, lr: 0.000002, batch_cost: 1.2236, reader_cost: 0.00023, ips: 1.6346 samples/sec | ETA 01:58:16 2021-08-23 19:44:16 [INFO] [TRAIN] epoch: 415, iter: 154210/160000, loss: 0.0447, lr: 0.000002, batch_cost: 1.2210, reader_cost: 0.00024, ips: 1.6381 samples/sec | ETA 01:57:49 2021-08-23 19:44:28 [INFO] [TRAIN] epoch: 415, iter: 154220/160000, loss: 0.0548, lr: 0.000002, batch_cost: 1.2219, reader_cost: 0.00022, ips: 1.6367 samples/sec | ETA 01:57:42 2021-08-23 19:44:41 [INFO] [TRAIN] epoch: 415, iter: 154230/160000, loss: 0.0433, lr: 0.000002, batch_cost: 1.2359, reader_cost: 0.00022, ips: 1.6182 samples/sec | ETA 01:58:51 2021-08-23 19:44:53 [INFO] [TRAIN] epoch: 415, iter: 154240/160000, loss: 0.0442, lr: 0.000002, batch_cost: 1.2186, reader_cost: 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loss: 0.0454, lr: 0.000002, batch_cost: 1.2377, reader_cost: 0.00026, ips: 1.6159 samples/sec | ETA 01:57:34 2021-08-23 19:46:19 [INFO] [TRAIN] epoch: 415, iter: 154310/160000, loss: 0.0474, lr: 0.000002, batch_cost: 1.2295, reader_cost: 0.00024, ips: 1.6266 samples/sec | ETA 01:56:36 2021-08-23 19:46:31 [INFO] [TRAIN] epoch: 415, iter: 154320/160000, loss: 0.0476, lr: 0.000002, batch_cost: 1.2344, reader_cost: 0.00025, ips: 1.6203 samples/sec | ETA 01:56:51 2021-08-23 19:46:43 [INFO] [TRAIN] epoch: 415, iter: 154330/160000, loss: 0.0527, lr: 0.000002, batch_cost: 1.2383, reader_cost: 0.00024, ips: 1.6151 samples/sec | ETA 01:57:01 2021-08-23 19:46:56 [INFO] [TRAIN] epoch: 415, iter: 154340/160000, loss: 0.0450, lr: 0.000002, batch_cost: 1.2426, reader_cost: 0.00023, ips: 1.6095 samples/sec | ETA 01:57:13 2021-08-23 19:47:08 [INFO] [TRAIN] epoch: 415, iter: 154350/160000, loss: 0.0490, lr: 0.000002, batch_cost: 1.2131, reader_cost: 0.00023, ips: 1.6486 samples/sec | ETA 01:54:14 2021-08-23 19:47:20 [INFO] [TRAIN] epoch: 415, iter: 154360/160000, loss: 0.0549, lr: 0.000002, batch_cost: 1.2291, reader_cost: 0.00021, ips: 1.6272 samples/sec | ETA 01:55:32 2021-08-23 19:47:32 [INFO] [TRAIN] epoch: 415, iter: 154370/160000, loss: 0.0433, lr: 0.000002, batch_cost: 1.2153, reader_cost: 0.00021, ips: 1.6457 samples/sec | ETA 01:54:01 2021-08-23 19:47:44 [INFO] [TRAIN] epoch: 415, iter: 154380/160000, loss: 0.0564, lr: 0.000002, batch_cost: 1.2012, reader_cost: 0.00020, ips: 1.6650 samples/sec | ETA 01:52:30 2021-08-23 19:48:00 [INFO] [TRAIN] epoch: 416, iter: 154390/160000, loss: 0.0556, lr: 0.000002, batch_cost: 1.5353, reader_cost: 0.19258, ips: 1.3027 samples/sec | ETA 02:23:32 2021-08-23 19:48:12 [INFO] [TRAIN] epoch: 416, iter: 154400/160000, loss: 0.0393, lr: 0.000002, batch_cost: 1.2313, reader_cost: 0.00078, ips: 1.6243 samples/sec | ETA 01:54:55 2021-08-23 19:48:24 [INFO] [TRAIN] epoch: 416, iter: 154410/160000, loss: 0.0566, lr: 0.000002, batch_cost: 1.2444, 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01:52:31 2021-08-23 19:50:52 [INFO] [TRAIN] epoch: 416, iter: 154530/160000, loss: 0.0426, lr: 0.000002, batch_cost: 1.2330, reader_cost: 0.00023, ips: 1.6221 samples/sec | ETA 01:52:24 2021-08-23 19:51:04 [INFO] [TRAIN] epoch: 416, iter: 154540/160000, loss: 0.0588, lr: 0.000002, batch_cost: 1.2550, reader_cost: 0.00023, ips: 1.5936 samples/sec | ETA 01:54:12 2021-08-23 19:51:16 [INFO] [TRAIN] epoch: 416, iter: 154550/160000, loss: 0.0451, lr: 0.000002, batch_cost: 1.2124, reader_cost: 0.00020, ips: 1.6496 samples/sec | ETA 01:50:07 2021-08-23 19:51:29 [INFO] [TRAIN] epoch: 416, iter: 154560/160000, loss: 0.0557, lr: 0.000002, batch_cost: 1.2152, reader_cost: 0.00021, ips: 1.6458 samples/sec | ETA 01:50:10 2021-08-23 19:51:41 [INFO] [TRAIN] epoch: 416, iter: 154570/160000, loss: 0.0494, lr: 0.000002, batch_cost: 1.2289, reader_cost: 0.00021, ips: 1.6275 samples/sec | ETA 01:51:12 2021-08-23 19:51:53 [INFO] [TRAIN] epoch: 416, iter: 154580/160000, loss: 0.0441, lr: 0.000002, batch_cost: 1.2133, reader_cost: 0.00020, ips: 1.6483 samples/sec | ETA 01:49:36 2021-08-23 19:52:05 [INFO] [TRAIN] epoch: 416, iter: 154590/160000, loss: 0.0420, lr: 0.000002, batch_cost: 1.2135, reader_cost: 0.00021, ips: 1.6481 samples/sec | ETA 01:49:24 2021-08-23 19:52:17 [INFO] [TRAIN] epoch: 416, iter: 154600/160000, loss: 0.0532, lr: 0.000002, batch_cost: 1.2171, reader_cost: 0.00022, ips: 1.6433 samples/sec | ETA 01:49:32 2021-08-23 19:52:29 [INFO] [TRAIN] epoch: 416, iter: 154610/160000, loss: 0.0512, lr: 0.000002, batch_cost: 1.2143, reader_cost: 0.00020, ips: 1.6470 samples/sec | ETA 01:49:05 2021-08-23 19:52:42 [INFO] [TRAIN] epoch: 416, iter: 154620/160000, loss: 0.0482, lr: 0.000002, batch_cost: 1.2101, reader_cost: 0.00021, ips: 1.6528 samples/sec | ETA 01:48:30 2021-08-23 19:52:54 [INFO] [TRAIN] epoch: 416, iter: 154630/160000, loss: 0.0404, lr: 0.000002, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6339 samples/sec | ETA 01:49:33 2021-08-23 19:53:06 [INFO] [TRAIN] epoch: 416, iter: 154640/160000, loss: 0.0480, lr: 0.000002, batch_cost: 1.2183, reader_cost: 0.00021, ips: 1.6416 samples/sec | ETA 01:48:50 2021-08-23 19:53:18 [INFO] [TRAIN] epoch: 416, iter: 154650/160000, loss: 0.0497, lr: 0.000002, batch_cost: 1.2203, reader_cost: 0.00022, ips: 1.6390 samples/sec | ETA 01:48:48 2021-08-23 19:53:30 [INFO] [TRAIN] epoch: 416, iter: 154660/160000, loss: 0.0410, lr: 0.000002, batch_cost: 1.2277, reader_cost: 0.00022, ips: 1.6290 samples/sec | ETA 01:49:16 2021-08-23 19:53:43 [INFO] [TRAIN] epoch: 416, iter: 154670/160000, loss: 0.0426, lr: 0.000002, batch_cost: 1.2188, reader_cost: 0.00022, ips: 1.6409 samples/sec | ETA 01:48:16 2021-08-23 19:53:55 [INFO] [TRAIN] epoch: 416, iter: 154680/160000, loss: 0.0474, lr: 0.000002, batch_cost: 1.2348, reader_cost: 0.00023, ips: 1.6197 samples/sec | ETA 01:49:29 2021-08-23 19:54:07 [INFO] [TRAIN] epoch: 416, iter: 154690/160000, loss: 0.0524, lr: 0.000002, batch_cost: 1.2194, reader_cost: 0.00022, ips: 1.6402 samples/sec | ETA 01:47:54 2021-08-23 19:54:20 [INFO] [TRAIN] epoch: 416, iter: 154700/160000, loss: 0.0491, lr: 0.000002, batch_cost: 1.2386, reader_cost: 0.00021, ips: 1.6147 samples/sec | ETA 01:49:24 2021-08-23 19:54:32 [INFO] [TRAIN] epoch: 416, iter: 154710/160000, loss: 0.0492, lr: 0.000002, batch_cost: 1.2211, reader_cost: 0.00024, ips: 1.6378 samples/sec | ETA 01:47:39 2021-08-23 19:54:44 [INFO] [TRAIN] epoch: 416, iter: 154720/160000, loss: 0.0517, lr: 0.000002, batch_cost: 1.2329, reader_cost: 0.00024, ips: 1.6222 samples/sec | ETA 01:48:29 2021-08-23 19:54:56 [INFO] [TRAIN] epoch: 416, iter: 154730/160000, loss: 0.0331, lr: 0.000002, batch_cost: 1.2231, reader_cost: 0.00020, ips: 1.6352 samples/sec | ETA 01:47:25 2021-08-23 19:55:08 [INFO] [TRAIN] epoch: 416, iter: 154740/160000, loss: 0.0426, lr: 0.000002, batch_cost: 1.2116, reader_cost: 0.00022, ips: 1.6508 samples/sec | ETA 01:46:12 2021-08-23 19:55:20 [INFO] [TRAIN] epoch: 416, iter: 154750/160000, loss: 0.0424, lr: 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[INFO] [TRAIN] epoch: 417, iter: 154810/160000, loss: 0.0511, lr: 0.000002, batch_cost: 1.2326, reader_cost: 0.00022, ips: 1.6227 samples/sec | ETA 01:46:36 2021-08-23 19:56:49 [INFO] [TRAIN] epoch: 417, iter: 154820/160000, loss: 0.0388, lr: 0.000002, batch_cost: 1.2591, reader_cost: 0.00021, ips: 1.5884 samples/sec | ETA 01:48:42 2021-08-23 19:57:01 [INFO] [TRAIN] epoch: 417, iter: 154830/160000, loss: 0.0481, lr: 0.000002, batch_cost: 1.2096, reader_cost: 0.00022, ips: 1.6534 samples/sec | ETA 01:44:13 2021-08-23 19:57:14 [INFO] [TRAIN] epoch: 417, iter: 154840/160000, loss: 0.0512, lr: 0.000002, batch_cost: 1.2274, reader_cost: 0.00022, ips: 1.6294 samples/sec | ETA 01:45:33 2021-08-23 19:57:26 [INFO] [TRAIN] epoch: 417, iter: 154850/160000, loss: 0.0383, lr: 0.000002, batch_cost: 1.2171, reader_cost: 0.00022, ips: 1.6433 samples/sec | ETA 01:44:27 2021-08-23 19:57:38 [INFO] [TRAIN] epoch: 417, iter: 154860/160000, loss: 0.0488, lr: 0.000002, batch_cost: 1.2197, reader_cost: 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01:38:31 2021-08-23 20:03:35 [INFO] [TRAIN] epoch: 418, iter: 155150/160000, loss: 0.0497, lr: 0.000002, batch_cost: 1.2297, reader_cost: 0.00023, ips: 1.6265 samples/sec | ETA 01:39:23 2021-08-23 20:03:47 [INFO] [TRAIN] epoch: 418, iter: 155160/160000, loss: 0.0416, lr: 0.000002, batch_cost: 1.2216, reader_cost: 0.00023, ips: 1.6372 samples/sec | ETA 01:38:32 2021-08-23 20:04:00 [INFO] [TRAIN] epoch: 418, iter: 155170/160000, loss: 0.0444, lr: 0.000002, batch_cost: 1.2281, reader_cost: 0.00022, ips: 1.6285 samples/sec | ETA 01:38:51 2021-08-23 20:04:12 [INFO] [TRAIN] epoch: 418, iter: 155180/160000, loss: 0.0541, lr: 0.000002, batch_cost: 1.2287, reader_cost: 0.00021, ips: 1.6278 samples/sec | ETA 01:38:42 2021-08-23 20:04:24 [INFO] [TRAIN] epoch: 418, iter: 155190/160000, loss: 0.0479, lr: 0.000002, batch_cost: 1.2350, reader_cost: 0.00022, ips: 1.6194 samples/sec | ETA 01:39:00 2021-08-23 20:04:37 [INFO] [TRAIN] epoch: 418, iter: 155200/160000, loss: 0.0523, lr: 0.000002, batch_cost: 1.2196, reader_cost: 0.00023, ips: 1.6398 samples/sec | ETA 01:37:34 2021-08-23 20:04:49 [INFO] [TRAIN] epoch: 418, iter: 155210/160000, loss: 0.0502, lr: 0.000002, batch_cost: 1.2300, reader_cost: 0.00022, ips: 1.6260 samples/sec | ETA 01:38:11 2021-08-23 20:05:01 [INFO] [TRAIN] epoch: 418, iter: 155220/160000, loss: 0.0476, lr: 0.000002, batch_cost: 1.2297, reader_cost: 0.00022, ips: 1.6264 samples/sec | ETA 01:37:57 2021-08-23 20:05:13 [INFO] [TRAIN] epoch: 418, iter: 155230/160000, loss: 0.0500, lr: 0.000002, batch_cost: 1.2348, reader_cost: 0.00022, ips: 1.6196 samples/sec | ETA 01:38:10 2021-08-23 20:05:26 [INFO] [TRAIN] epoch: 418, iter: 155240/160000, loss: 0.0440, lr: 0.000002, batch_cost: 1.2313, reader_cost: 0.00022, ips: 1.6242 samples/sec | ETA 01:37:41 2021-08-23 20:05:38 [INFO] [TRAIN] epoch: 418, iter: 155250/160000, loss: 0.0474, lr: 0.000002, batch_cost: 1.2239, reader_cost: 0.00021, ips: 1.6342 samples/sec | ETA 01:36:53 2021-08-23 20:05:50 [INFO] [TRAIN] epoch: 418, iter: 155260/160000, loss: 0.0462, lr: 0.000002, batch_cost: 1.2356, reader_cost: 0.00022, ips: 1.6186 samples/sec | ETA 01:37:36 2021-08-23 20:06:03 [INFO] [TRAIN] epoch: 418, iter: 155270/160000, loss: 0.0524, lr: 0.000002, batch_cost: 1.2203, reader_cost: 0.00022, ips: 1.6390 samples/sec | ETA 01:36:11 2021-08-23 20:06:15 [INFO] [TRAIN] epoch: 418, iter: 155280/160000, loss: 0.0448, lr: 0.000002, batch_cost: 1.2298, reader_cost: 0.00021, ips: 1.6263 samples/sec | ETA 01:36:44 2021-08-23 20:06:27 [INFO] [TRAIN] epoch: 418, iter: 155290/160000, loss: 0.0520, lr: 0.000002, batch_cost: 1.2407, reader_cost: 0.00022, ips: 1.6120 samples/sec | ETA 01:37:23 2021-08-23 20:06:40 [INFO] [TRAIN] epoch: 418, iter: 155300/160000, loss: 0.0538, lr: 0.000002, batch_cost: 1.2413, reader_cost: 0.00023, ips: 1.6112 samples/sec | ETA 01:37:14 2021-08-23 20:06:52 [INFO] [TRAIN] epoch: 418, iter: 155310/160000, loss: 0.0440, lr: 0.000002, batch_cost: 1.2373, reader_cost: 0.00023, ips: 1.6164 samples/sec | ETA 01:36:42 2021-08-23 20:07:04 [INFO] [TRAIN] epoch: 418, iter: 155320/160000, loss: 0.0431, lr: 0.000002, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6321 samples/sec | ETA 01:35:34 2021-08-23 20:07:17 [INFO] [TRAIN] epoch: 418, iter: 155330/160000, loss: 0.0520, lr: 0.000002, batch_cost: 1.2283, reader_cost: 0.00022, ips: 1.6283 samples/sec | ETA 01:35:35 2021-08-23 20:07:29 [INFO] [TRAIN] epoch: 418, iter: 155340/160000, loss: 0.0465, lr: 0.000002, batch_cost: 1.2256, reader_cost: 0.00021, ips: 1.6318 samples/sec | ETA 01:35:11 2021-08-23 20:07:41 [INFO] [TRAIN] epoch: 418, iter: 155350/160000, loss: 0.0425, lr: 0.000002, batch_cost: 1.2361, reader_cost: 0.00022, ips: 1.6180 samples/sec | ETA 01:35:47 2021-08-23 20:07:53 [INFO] [TRAIN] epoch: 418, iter: 155360/160000, loss: 0.0455, lr: 0.000002, batch_cost: 1.2196, reader_cost: 0.00021, ips: 1.6398 samples/sec | ETA 01:34:19 2021-08-23 20:08:06 [INFO] [TRAIN] epoch: 418, iter: 155370/160000, loss: 0.0498, lr: 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[INFO] [TRAIN] epoch: 418, iter: 155430/160000, loss: 0.0554, lr: 0.000002, batch_cost: 1.2655, reader_cost: 0.00020, ips: 1.5804 samples/sec | ETA 01:36:23 2021-08-23 20:09:32 [INFO] [TRAIN] epoch: 418, iter: 155440/160000, loss: 0.0473, lr: 0.000002, batch_cost: 1.2222, reader_cost: 0.00022, ips: 1.6365 samples/sec | ETA 01:32:53 2021-08-23 20:09:44 [INFO] [TRAIN] epoch: 418, iter: 155450/160000, loss: 0.0406, lr: 0.000002, batch_cost: 1.2321, reader_cost: 0.00023, ips: 1.6232 samples/sec | ETA 01:33:26 2021-08-23 20:09:56 [INFO] [TRAIN] epoch: 418, iter: 155460/160000, loss: 0.0469, lr: 0.000002, batch_cost: 1.2169, reader_cost: 0.00023, ips: 1.6435 samples/sec | ETA 01:32:04 2021-08-23 20:10:09 [INFO] [TRAIN] epoch: 418, iter: 155470/160000, loss: 0.0436, lr: 0.000002, batch_cost: 1.2351, reader_cost: 0.00023, ips: 1.6192 samples/sec | ETA 01:33:15 2021-08-23 20:10:21 [INFO] [TRAIN] epoch: 418, iter: 155480/160000, loss: 0.0462, lr: 0.000002, batch_cost: 1.2365, reader_cost: 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2021-08-23 20:12:51 [INFO] [TRAIN] epoch: 419, iter: 155600/160000, loss: 0.0455, lr: 0.000002, batch_cost: 1.2219, reader_cost: 0.00021, ips: 1.6368 samples/sec | ETA 01:29:36 2021-08-23 20:13:03 [INFO] [TRAIN] epoch: 419, iter: 155610/160000, loss: 0.0477, lr: 0.000002, batch_cost: 1.2266, reader_cost: 0.00023, ips: 1.6305 samples/sec | ETA 01:29:44 2021-08-23 20:13:15 [INFO] [TRAIN] epoch: 419, iter: 155620/160000, loss: 0.0482, lr: 0.000002, batch_cost: 1.2235, reader_cost: 0.00023, ips: 1.6346 samples/sec | ETA 01:29:18 2021-08-23 20:13:27 [INFO] [TRAIN] epoch: 419, iter: 155630/160000, loss: 0.0561, lr: 0.000002, batch_cost: 1.2227, reader_cost: 0.00022, ips: 1.6357 samples/sec | ETA 01:29:03 2021-08-23 20:13:40 [INFO] [TRAIN] epoch: 419, iter: 155640/160000, loss: 0.0521, lr: 0.000002, batch_cost: 1.2168, reader_cost: 0.00022, ips: 1.6437 samples/sec | ETA 01:28:25 2021-08-23 20:13:52 [INFO] [TRAIN] epoch: 419, iter: 155650/160000, loss: 0.0557, lr: 0.000002, batch_cost: 1.2159, reader_cost: 0.00022, ips: 1.6448 samples/sec | ETA 01:28:09 2021-08-23 20:14:04 [INFO] [TRAIN] epoch: 419, iter: 155660/160000, loss: 0.0425, lr: 0.000002, batch_cost: 1.2241, reader_cost: 0.00021, ips: 1.6339 samples/sec | ETA 01:28:32 2021-08-23 20:14:16 [INFO] [TRAIN] epoch: 419, iter: 155670/160000, loss: 0.0484, lr: 0.000002, batch_cost: 1.2362, reader_cost: 0.00082, ips: 1.6179 samples/sec | ETA 01:29:12 2021-08-23 20:14:29 [INFO] [TRAIN] epoch: 419, iter: 155680/160000, loss: 0.0511, lr: 0.000002, batch_cost: 1.2416, reader_cost: 0.00022, ips: 1.6109 samples/sec | ETA 01:29:23 2021-08-23 20:14:41 [INFO] [TRAIN] epoch: 419, iter: 155690/160000, loss: 0.0466, lr: 0.000002, batch_cost: 1.2405, reader_cost: 0.00021, ips: 1.6123 samples/sec | ETA 01:29:06 2021-08-23 20:14:53 [INFO] [TRAIN] epoch: 419, iter: 155700/160000, loss: 0.0476, lr: 0.000002, batch_cost: 1.2264, reader_cost: 0.00026, ips: 1.6308 samples/sec | ETA 01:27:53 2021-08-23 20:15:06 [INFO] [TRAIN] epoch: 419, iter: 155710/160000, loss: 0.0360, lr: 0.000002, batch_cost: 1.2287, reader_cost: 0.00020, ips: 1.6277 samples/sec | ETA 01:27:51 2021-08-23 20:15:18 [INFO] [TRAIN] epoch: 419, iter: 155720/160000, loss: 0.0443, lr: 0.000002, batch_cost: 1.2229, reader_cost: 0.00021, ips: 1.6354 samples/sec | ETA 01:27:14 2021-08-23 20:15:30 [INFO] [TRAIN] epoch: 419, iter: 155730/160000, loss: 0.0530, lr: 0.000002, batch_cost: 1.2232, reader_cost: 0.00020, ips: 1.6350 samples/sec | ETA 01:27:03 2021-08-23 20:15:42 [INFO] [TRAIN] epoch: 419, iter: 155740/160000, loss: 0.0404, lr: 0.000002, batch_cost: 1.2218, reader_cost: 0.00019, ips: 1.6369 samples/sec | ETA 01:26:44 2021-08-23 20:15:55 [INFO] [TRAIN] epoch: 419, iter: 155750/160000, loss: 0.0435, lr: 0.000002, batch_cost: 1.2152, reader_cost: 0.00021, ips: 1.6458 samples/sec | ETA 01:26:04 2021-08-23 20:16:07 [INFO] [TRAIN] epoch: 419, iter: 155760/160000, loss: 0.0554, lr: 0.000002, batch_cost: 1.2297, reader_cost: 0.00024, ips: 1.6264 samples/sec | ETA 01:26:54 2021-08-23 20:16:19 [INFO] [TRAIN] epoch: 419, iter: 155770/160000, loss: 0.0510, lr: 0.000002, batch_cost: 1.2366, reader_cost: 0.00023, ips: 1.6173 samples/sec | ETA 01:27:10 2021-08-23 20:16:32 [INFO] [TRAIN] epoch: 419, iter: 155780/160000, loss: 0.0554, lr: 0.000002, batch_cost: 1.2347, reader_cost: 0.00023, ips: 1.6198 samples/sec | ETA 01:26:50 2021-08-23 20:16:44 [INFO] [TRAIN] epoch: 419, iter: 155790/160000, loss: 0.0500, lr: 0.000002, batch_cost: 1.2379, reader_cost: 0.00021, ips: 1.6157 samples/sec | ETA 01:26:51 2021-08-23 20:16:56 [INFO] [TRAIN] epoch: 419, iter: 155800/160000, loss: 0.0439, lr: 0.000002, batch_cost: 1.2279, reader_cost: 0.00023, ips: 1.6288 samples/sec | ETA 01:25:57 2021-08-23 20:17:09 [INFO] [TRAIN] epoch: 419, iter: 155810/160000, loss: 0.0395, lr: 0.000002, batch_cost: 1.2413, reader_cost: 0.00026, ips: 1.6113 samples/sec | ETA 01:26:40 2021-08-23 20:17:21 [INFO] [TRAIN] epoch: 419, iter: 155820/160000, loss: 0.0405, lr: 0.000002, batch_cost: 1.2215, reader_cost: 0.00023, ips: 1.6373 samples/sec | ETA 01:25:05 2021-08-23 20:17:33 [INFO] [TRAIN] epoch: 419, iter: 155830/160000, loss: 0.0509, lr: 0.000002, batch_cost: 1.2241, reader_cost: 0.00022, ips: 1.6338 samples/sec | ETA 01:25:04 2021-08-23 20:17:45 [INFO] [TRAIN] epoch: 419, iter: 155840/160000, loss: 0.0442, lr: 0.000002, batch_cost: 1.2175, reader_cost: 0.00022, ips: 1.6427 samples/sec | ETA 01:24:24 2021-08-23 20:17:57 [INFO] [TRAIN] epoch: 419, iter: 155850/160000, loss: 0.0474, lr: 0.000002, batch_cost: 1.2233, reader_cost: 0.00020, ips: 1.6350 samples/sec | ETA 01:24:36 2021-08-23 20:18:10 [INFO] [TRAIN] epoch: 419, iter: 155860/160000, loss: 0.0406, lr: 0.000002, batch_cost: 1.2213, reader_cost: 0.00019, ips: 1.6376 samples/sec | ETA 01:24:16 2021-08-23 20:18:25 [INFO] [TRAIN] epoch: 420, iter: 155870/160000, loss: 0.0511, lr: 0.000002, batch_cost: 1.4845, reader_cost: 0.23595, ips: 1.3473 samples/sec | ETA 01:42:10 2021-08-23 20:18:37 [INFO] [TRAIN] epoch: 420, iter: 155880/160000, loss: 0.0533, lr: 0.000002, batch_cost: 1.2174, reader_cost: 0.00079, ips: 1.6428 samples/sec | ETA 01:23:35 2021-08-23 20:18:49 [INFO] [TRAIN] epoch: 420, iter: 155890/160000, loss: 0.0447, lr: 0.000002, batch_cost: 1.2248, reader_cost: 0.00022, ips: 1.6330 samples/sec | ETA 01:23:53 2021-08-23 20:19:01 [INFO] [TRAIN] epoch: 420, iter: 155900/160000, loss: 0.0454, lr: 0.000002, batch_cost: 1.2262, reader_cost: 0.00021, ips: 1.6310 samples/sec | ETA 01:23:47 2021-08-23 20:19:13 [INFO] [TRAIN] epoch: 420, iter: 155910/160000, loss: 0.0463, lr: 0.000002, batch_cost: 1.2266, reader_cost: 0.00022, ips: 1.6306 samples/sec | ETA 01:23:36 2021-08-23 20:19:26 [INFO] [TRAIN] epoch: 420, iter: 155920/160000, loss: 0.0542, lr: 0.000002, batch_cost: 1.2214, reader_cost: 0.00023, ips: 1.6374 samples/sec | ETA 01:23:03 2021-08-23 20:19:38 [INFO] [TRAIN] epoch: 420, iter: 155930/160000, loss: 0.0482, lr: 0.000002, batch_cost: 1.2297, reader_cost: 0.00022, ips: 1.6264 samples/sec | ETA 01:23:24 2021-08-23 20:19:50 [INFO] [TRAIN] epoch: 420, iter: 155940/160000, loss: 0.0520, lr: 0.000002, batch_cost: 1.2202, reader_cost: 0.00023, ips: 1.6391 samples/sec | ETA 01:22:34 2021-08-23 20:20:02 [INFO] [TRAIN] epoch: 420, iter: 155950/160000, loss: 0.0530, lr: 0.000002, batch_cost: 1.2274, reader_cost: 0.00023, ips: 1.6295 samples/sec | ETA 01:22:50 2021-08-23 20:20:15 [INFO] [TRAIN] epoch: 420, iter: 155960/160000, loss: 0.0452, lr: 0.000002, batch_cost: 1.2247, reader_cost: 0.00021, ips: 1.6330 samples/sec | ETA 01:22:27 2021-08-23 20:20:27 [INFO] [TRAIN] epoch: 420, iter: 155970/160000, loss: 0.0513, lr: 0.000002, batch_cost: 1.2229, reader_cost: 0.00021, ips: 1.6355 samples/sec | ETA 01:22:08 2021-08-23 20:20:39 [INFO] [TRAIN] epoch: 420, iter: 155980/160000, loss: 0.0428, lr: 0.000002, batch_cost: 1.2383, reader_cost: 0.00022, ips: 1.6152 samples/sec | ETA 01:22:57 2021-08-23 20:20:51 [INFO] [TRAIN] epoch: 420, iter: 155990/160000, loss: 0.0409, lr: 0.000002, batch_cost: 1.2115, reader_cost: 0.00022, ips: 1.6509 samples/sec | ETA 01:20:58 2021-08-23 20:21:04 [INFO] [TRAIN] epoch: 420, iter: 156000/160000, loss: 0.0525, lr: 0.000002, batch_cost: 1.2180, reader_cost: 0.00025, ips: 1.6421 samples/sec | ETA 01:21:11 2021-08-23 20:21:04 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 7:07 - batch_cost: 3.4483 - reader cost: 0.3875 2/125 [..............................] - ETA: 5:52 - batch_cost: 2.8641 - reader cost: 0.1939 3/125 [..............................] - ETA: 5:18 - batch_cost: 2.6083 - reader cost: 0.1293 4/125 [..............................] - ETA: 4:59 - batch_cost: 2.4726 - reader cost: 0.0970 5/125 [>.............................] - ETA: 4:48 - batch_cost: 2.4048 - reader cost: 0.0777 6/125 [>.............................] - ETA: 4:40 - batch_cost: 2.3562 - reader cost: 0.0648 7/125 [>.............................] - ETA: 4:37 - batch_cost: 2.3501 - reader cost: 0.0555 8/125 [>.............................] - ETA: 4:30 - batch_cost: 2.3140 - reader cost: 0.0486 9/125 [=>............................] - ETA: 4:26 - batch_cost: 2.2989 - reader cost: 0.0432 10/125 [=>............................] - ETA: 4:22 - batch_cost: 2.2849 - reader cost: 0.0389 11/125 [=>............................] - ETA: 4:18 - batch_cost: 2.2679 - reader cost: 0.0354 12/125 [=>............................] - ETA: 4:14 - batch_cost: 2.2536 - reader cost: 0.0325 13/125 [==>...........................] - ETA: 4:11 - batch_cost: 2.2415 - reader cost: 0.0300 14/125 [==>...........................] - ETA: 4:08 - batch_cost: 2.2356 - reader cost: 0.0279 15/125 [==>...........................] - ETA: 4:04 - batch_cost: 2.2260 - reader cost: 0.0260 16/125 [==>...........................] - ETA: 4:01 - batch_cost: 2.2133 - reader cost: 0.0244 17/125 [===>..........................] - ETA: 3:58 - batch_cost: 2.2117 - reader cost: 0.0230 18/125 [===>..........................] - ETA: 3:56 - batch_cost: 2.2064 - reader cost: 0.0217 19/125 [===>..........................] - ETA: 3:53 - batch_cost: 2.2026 - reader cost: 0.0206 20/125 [===>..........................] - ETA: 3:51 - batch_cost: 2.2013 - reader cost: 0.0196 21/125 [====>.........................] - ETA: 3:48 - batch_cost: 2.1964 - reader cost: 0.0186 22/125 [====>.........................] - ETA: 3:45 - batch_cost: 2.1929 - reader cost: 0.0178 23/125 [====>.........................] - ETA: 3:43 - batch_cost: 2.1884 - reader cost: 0.0170 24/125 [====>.........................] - ETA: 3:40 - batch_cost: 2.1867 - reader cost: 0.0163 25/125 [=====>........................] - ETA: 3:38 - batch_cost: 2.1833 - reader cost: 0.0157 26/125 [=====>........................] - ETA: 3:35 - batch_cost: 2.1802 - reader cost: 0.0151 27/125 [=====>........................] - ETA: 3:33 - batch_cost: 2.1793 - reader cost: 0.0145 28/125 [=====>........................] - ETA: 3:31 - batch_cost: 2.1794 - reader cost: 0.0140 29/125 [=====>........................] - ETA: 3:28 - batch_cost: 2.1749 - reader cost: 0.0135 30/125 [======>.......................] - ETA: 3:26 - batch_cost: 2.1732 - reader cost: 0.0131 31/125 [======>.......................] - ETA: 3:23 - batch_cost: 2.1678 - reader cost: 0.0127 32/125 [======>.......................] - ETA: 3:21 - batch_cost: 2.1681 - reader cost: 0.0123 33/125 [======>.......................] - ETA: 3:19 - batch_cost: 2.1649 - reader cost: 0.0119 34/125 [=======>......................] - ETA: 3:16 - batch_cost: 2.1615 - reader cost: 0.0116 35/125 [=======>......................] - ETA: 3:14 - batch_cost: 2.1576 - reader cost: 0.0113 36/125 [=======>......................] - ETA: 3:11 - batch_cost: 2.1535 - reader cost: 0.0110 37/125 [=======>......................] - ETA: 3:09 - batch_cost: 2.1504 - reader cost: 0.0107 38/125 [========>.....................] - ETA: 3:07 - batch_cost: 2.1515 - reader cost: 0.0104 39/125 [========>.....................] - ETA: 3:04 - batch_cost: 2.1485 - reader cost: 0.0101 40/125 [========>.....................] - ETA: 3:03 - batch_cost: 2.1542 - reader cost: 0.0099 41/125 [========>.....................] - ETA: 3:00 - batch_cost: 2.1538 - reader cost: 0.0096 42/125 [=========>....................] - ETA: 2:58 - batch_cost: 2.1560 - reader cost: 0.0094 43/125 [=========>....................] - ETA: 2:56 - batch_cost: 2.1561 - reader cost: 0.0092 44/125 [=========>....................] - ETA: 2:54 - batch_cost: 2.1550 - reader cost: 0.0090 45/125 [=========>....................] - ETA: 2:52 - batch_cost: 2.1534 - reader cost: 0.0088 46/125 [==========>...................] - ETA: 2:50 - batch_cost: 2.1518 - reader cost: 0.0086 47/125 [==========>...................] - ETA: 2:47 - batch_cost: 2.1506 - reader cost: 0.0084 48/125 [==========>...................] - ETA: 2:45 - batch_cost: 2.1493 - reader cost: 0.0083 49/125 [==========>...................] - ETA: 2:43 - batch_cost: 2.1476 - reader cost: 0.0081 50/125 [===========>..................] - ETA: 2:41 - batch_cost: 2.1464 - reader cost: 0.0079 51/125 [===========>..................] - ETA: 2:38 - batch_cost: 2.1443 - reader cost: 0.0078 52/125 [===========>..................] - ETA: 2:36 - batch_cost: 2.1436 - reader cost: 0.0076 53/125 [===========>..................] - ETA: 2:34 - batch_cost: 2.1424 - reader cost: 0.0075 54/125 [===========>..................] - ETA: 2:32 - batch_cost: 2.1410 - reader cost: 0.0074 55/125 [============>.................] - ETA: 2:29 - batch_cost: 2.1401 - reader cost: 0.0072 56/125 [============>.................] - ETA: 2:27 - batch_cost: 2.1391 - reader cost: 0.0071 57/125 [============>.................] - ETA: 2:25 - batch_cost: 2.1387 - reader cost: 0.0070 58/125 [============>.................] - ETA: 2:23 - batch_cost: 2.1381 - reader cost: 0.0069 59/125 [=============>................] - ETA: 2:21 - batch_cost: 2.1379 - reader cost: 0.0068 60/125 [=============>................] - ETA: 2:18 - batch_cost: 2.1372 - reader cost: 0.0066 61/125 [=============>................] - ETA: 2:16 - batch_cost: 2.1365 - reader cost: 0.0065 62/125 [=============>................] - ETA: 2:14 - batch_cost: 2.1362 - reader cost: 0.0064 63/125 [==============>...............] - ETA: 2:12 - batch_cost: 2.1351 - reader cost: 0.0063 64/125 [==============>...............] - ETA: 2:10 - batch_cost: 2.1347 - reader cost: 0.0062 65/125 [==============>...............] - ETA: 2:08 - batch_cost: 2.1342 - reader cost: 0.0062 66/125 [==============>...............] - ETA: 2:05 - batch_cost: 2.1347 - reader cost: 0.0061 67/125 [===============>..............] - ETA: 2:03 - batch_cost: 2.1344 - reader cost: 0.0060 68/125 [===============>..............] - ETA: 2:01 - batch_cost: 2.1336 - reader cost: 0.0059 69/125 [===============>..............] - ETA: 1:59 - batch_cost: 2.1336 - reader cost: 0.0058 70/125 [===============>..............] - ETA: 1:57 - batch_cost: 2.1326 - reader cost: 0.0057 71/125 [================>.............] - ETA: 1:55 - batch_cost: 2.1304 - reader cost: 0.0056 72/125 [================>.............] - ETA: 1:52 - batch_cost: 2.1291 - reader cost: 0.0056 73/125 [================>.............] - ETA: 1:50 - batch_cost: 2.1274 - reader cost: 0.0055 74/125 [================>.............] - ETA: 1:48 - batch_cost: 2.1314 - reader cost: 0.0054 75/125 [=================>............] - ETA: 1:46 - batch_cost: 2.1307 - reader cost: 0.0054 76/125 [=================>............] - ETA: 1:44 - batch_cost: 2.1316 - reader cost: 0.0053 77/125 [=================>............] - ETA: 1:42 - batch_cost: 2.1368 - reader cost: 0.0052 78/125 [=================>............] - ETA: 1:40 - batch_cost: 2.1376 - reader cost: 0.0052 79/125 [=================>............] - ETA: 1:38 - batch_cost: 2.1369 - reader cost: 0.0051 80/125 [==================>...........] - ETA: 1:36 - batch_cost: 2.1369 - reader cost: 0.0050 81/125 [==================>...........] - ETA: 1:34 - batch_cost: 2.1367 - reader cost: 0.0050 82/125 [==================>...........] - ETA: 1:31 - batch_cost: 2.1361 - reader cost: 0.0049 83/125 [==================>...........] - ETA: 1:29 - batch_cost: 2.1357 - reader cost: 0.0049 84/125 [===================>..........] - ETA: 1:27 - batch_cost: 2.1351 - reader cost: 0.0048 85/125 [===================>..........] - ETA: 1:25 - batch_cost: 2.1352 - reader cost: 0.0048 86/125 [===================>..........] - ETA: 1:23 - batch_cost: 2.1347 - reader cost: 0.0047 87/125 [===================>..........] - ETA: 1:21 - batch_cost: 2.1347 - reader cost: 0.0046 88/125 [====================>.........] - ETA: 1:18 - batch_cost: 2.1339 - reader cost: 0.0046 89/125 [====================>.........] - ETA: 1:16 - batch_cost: 2.1344 - reader cost: 0.0045 90/125 [====================>.........] - ETA: 1:14 - batch_cost: 2.1332 - reader cost: 0.0045 91/125 [====================>.........] - ETA: 1:12 - batch_cost: 2.1331 - reader cost: 0.0045 92/125 [=====================>........] - ETA: 1:10 - batch_cost: 2.1330 - reader cost: 0.0044 93/125 [=====================>........] - ETA: 1:08 - batch_cost: 2.1323 - reader cost: 0.0044 94/125 [=====================>........] - ETA: 1:06 - batch_cost: 2.1314 - reader cost: 0.0043 95/125 [=====================>........] - ETA: 1:03 - batch_cost: 2.1311 - reader cost: 0.0043 96/125 [======================>.......] - ETA: 1:01 - batch_cost: 2.1311 - reader cost: 0.0042 97/125 [======================>.......] - ETA: 59s - batch_cost: 2.1309 - reader cost: 0.0042  98/125 [======================>.......] - ETA: 57s - batch_cost: 2.1307 - reader cost: 0.0041 99/125 [======================>.......] - ETA: 55s - batch_cost: 2.1299 - reader cost: 0.0041 100/125 [=======================>......] - ETA: 53s - batch_cost: 2.1300 - reader cost: 0.0041 101/125 [=======================>......] - ETA: 51s - batch_cost: 2.1296 - reader cost: 0.0040 102/125 [=======================>......] - ETA: 48s - batch_cost: 2.1298 - reader cost: 0.0040 103/125 [=======================>......] - ETA: 46s - batch_cost: 2.1293 - reader cost: 0.0040 104/125 [=======================>......] - ETA: 44s - batch_cost: 2.1294 - reader cost: 0.0039 105/125 [========================>.....] - ETA: 42s - batch_cost: 2.1290 - reader cost: 0.0039 106/125 [========================>.....] - ETA: 40s - batch_cost: 2.1279 - reader cost: 0.0038 107/125 [========================>.....] - ETA: 38s - batch_cost: 2.1272 - reader cost: 0.0038 108/125 [========================>.....] - ETA: 36s - batch_cost: 2.1265 - reader cost: 0.0038 109/125 [=========================>....] - ETA: 34s - batch_cost: 2.1257 - reader cost: 0.0037 110/125 [=========================>....] - ETA: 31s - batch_cost: 2.1252 - reader cost: 0.0037 111/125 [=========================>....] - ETA: 29s - batch_cost: 2.1246 - reader cost: 0.0037 112/125 [=========================>....] - ETA: 27s - batch_cost: 2.1240 - reader cost: 0.0037 113/125 [==========================>...] - ETA: 25s - batch_cost: 2.1235 - reader cost: 0.0036 114/125 [==========================>...] - ETA: 23s - batch_cost: 2.1229 - reader cost: 0.0036 115/125 [==========================>...] - ETA: 21s - batch_cost: 2.1226 - reader cost: 0.0036 116/125 [==========================>...] - ETA: 19s - batch_cost: 2.1220 - reader cost: 0.0035 117/125 [===========================>..] - ETA: 16s - batch_cost: 2.1214 - reader cost: 0.0035 118/125 [===========================>..] - ETA: 14s - batch_cost: 2.1206 - reader cost: 0.0035 119/125 [===========================>..] - ETA: 12s - batch_cost: 2.1200 - reader cost: 0.0034 120/125 [===========================>..] - ETA: 10s - batch_cost: 2.1193 - reader cost: 0.0034 121/125 [============================>.] - ETA: 8s - batch_cost: 2.1186 - reader cost: 0.0034  122/125 [============================>.] - ETA: 6s - batch_cost: 2.1180 - reader cost: 0.0034 123/125 [============================>.] - ETA: 4s - batch_cost: 2.1179 - reader cost: 0.0033 124/125 [============================>.] - ETA: 2s - batch_cost: 2.1175 - reader cost: 0.0033 125/125 [==============================] - 265s 2s/step - batch_cost: 2.1164 - reader cost: 0.0033 2021-08-23 20:25:28 [INFO] [EVAL] #Images: 500 mIoU: 0.8239 Acc: 0.9674 Kappa: 0.9577 2021-08-23 20:25:28 [INFO] [EVAL] Class IoU: [0.9839 0.8697 0.9385 0.7009 0.6669 0.7024 0.7595 0.8271 0.9324 0.6594 0.9571 0.8491 0.6756 0.9594 0.873 0.9061 0.8694 0.7232 0.8011] 2021-08-23 20:25:28 [INFO] [EVAL] Class Acc: [0.9929 0.9234 0.9664 0.8971 0.8673 0.8438 0.8642 0.9177 0.9589 0.8421 0.9739 0.9082 0.8109 0.9769 0.9627 0.9442 0.9605 0.8646 0.8735] 2021-08-23 20:25:31 [INFO] [EVAL] The model with the best validation mIoU (0.8247) was saved at iter 152000. 2021-08-23 20:25:43 [INFO] [TRAIN] epoch: 420, iter: 156010/160000, loss: 0.0573, lr: 0.000001, batch_cost: 1.2183, reader_cost: 0.00070, ips: 1.6417 samples/sec | ETA 01:21:00 2021-08-23 20:25:55 [INFO] [TRAIN] epoch: 420, iter: 156020/160000, loss: 0.0438, lr: 0.000001, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6359 samples/sec | ETA 01:21:05 2021-08-23 20:26:07 [INFO] [TRAIN] epoch: 420, iter: 156030/160000, loss: 0.0504, lr: 0.000001, batch_cost: 1.2192, reader_cost: 0.00022, ips: 1.6405 samples/sec | ETA 01:20:40 2021-08-23 20:26:20 [INFO] [TRAIN] epoch: 420, iter: 156040/160000, loss: 0.0470, lr: 0.000001, batch_cost: 1.2319, reader_cost: 0.00021, ips: 1.6235 samples/sec | ETA 01:21:18 2021-08-23 20:26:32 [INFO] [TRAIN] epoch: 420, iter: 156050/160000, loss: 0.0489, lr: 0.000001, batch_cost: 1.2387, reader_cost: 0.00023, ips: 1.6146 samples/sec | ETA 01:21:32 2021-08-23 20:26:45 [INFO] [TRAIN] epoch: 420, iter: 156060/160000, loss: 0.0475, lr: 0.000001, batch_cost: 1.2409, reader_cost: 0.00022, ips: 1.6118 samples/sec | ETA 01:21:28 2021-08-23 20:26:57 [INFO] [TRAIN] epoch: 420, iter: 156070/160000, loss: 0.0439, lr: 0.000001, batch_cost: 1.2622, reader_cost: 0.00020, ips: 1.5846 samples/sec | ETA 01:22:40 2021-08-23 20:27:10 [INFO] [TRAIN] epoch: 420, iter: 156080/160000, loss: 0.0419, lr: 0.000001, batch_cost: 1.2704, reader_cost: 0.00022, ips: 1.5743 samples/sec | ETA 01:22:59 2021-08-23 20:27:22 [INFO] [TRAIN] epoch: 420, iter: 156090/160000, loss: 0.0469, lr: 0.000001, batch_cost: 1.2151, reader_cost: 0.00024, ips: 1.6460 samples/sec | ETA 01:19:10 2021-08-23 20:27:34 [INFO] [TRAIN] epoch: 420, iter: 156100/160000, loss: 0.0493, lr: 0.000001, batch_cost: 1.2331, reader_cost: 0.00022, ips: 1.6219 samples/sec | ETA 01:20:09 2021-08-23 20:27:47 [INFO] [TRAIN] epoch: 420, iter: 156110/160000, loss: 0.0485, lr: 0.000001, batch_cost: 1.2169, reader_cost: 0.00022, ips: 1.6435 samples/sec | ETA 01:18:53 2021-08-23 20:27:59 [INFO] [TRAIN] epoch: 420, iter: 156120/160000, loss: 0.0518, lr: 0.000001, batch_cost: 1.2315, reader_cost: 0.00021, ips: 1.6240 samples/sec | ETA 01:19:38 2021-08-23 20:28:11 [INFO] [TRAIN] epoch: 420, iter: 156130/160000, loss: 0.0478, lr: 0.000001, batch_cost: 1.2414, reader_cost: 0.00022, ips: 1.6111 samples/sec | ETA 01:20:04 2021-08-23 20:28:23 [INFO] [TRAIN] epoch: 420, iter: 156140/160000, loss: 0.0471, lr: 0.000001, batch_cost: 1.2152, reader_cost: 0.00021, ips: 1.6458 samples/sec | ETA 01:18:10 2021-08-23 20:28:36 [INFO] [TRAIN] epoch: 420, iter: 156150/160000, loss: 0.0548, lr: 0.000001, batch_cost: 1.2195, reader_cost: 0.00021, ips: 1.6401 samples/sec | ETA 01:18:14 2021-08-23 20:28:48 [INFO] [TRAIN] epoch: 420, iter: 156160/160000, loss: 0.0485, lr: 0.000001, batch_cost: 1.2236, reader_cost: 0.00022, ips: 1.6345 samples/sec | ETA 01:18:18 2021-08-23 20:29:00 [INFO] [TRAIN] epoch: 420, iter: 156170/160000, loss: 0.0447, lr: 0.000001, batch_cost: 1.2403, reader_cost: 0.00022, ips: 1.6125 samples/sec | ETA 01:19:10 2021-08-23 20:29:13 [INFO] [TRAIN] epoch: 420, iter: 156180/160000, loss: 0.0457, lr: 0.000001, batch_cost: 1.2307, reader_cost: 0.00022, ips: 1.6251 samples/sec | ETA 01:18:21 2021-08-23 20:29:25 [INFO] [TRAIN] epoch: 420, iter: 156190/160000, loss: 0.0437, lr: 0.000001, batch_cost: 1.2255, reader_cost: 0.00022, ips: 1.6320 samples/sec | ETA 01:17:49 2021-08-23 20:29:37 [INFO] [TRAIN] epoch: 420, iter: 156200/160000, loss: 0.0446, lr: 0.000001, batch_cost: 1.2517, reader_cost: 0.00021, ips: 1.5979 samples/sec | ETA 01:19:16 2021-08-23 20:29:50 [INFO] [TRAIN] epoch: 420, iter: 156210/160000, loss: 0.0416, lr: 0.000001, batch_cost: 1.2265, reader_cost: 0.00021, ips: 1.6307 samples/sec | ETA 01:17:28 2021-08-23 20:30:02 [INFO] [TRAIN] epoch: 420, iter: 156220/160000, loss: 0.0456, lr: 0.000001, batch_cost: 1.2328, reader_cost: 0.00023, ips: 1.6223 samples/sec | ETA 01:17:39 2021-08-23 20:30:14 [INFO] [TRAIN] epoch: 420, iter: 156230/160000, loss: 0.0470, lr: 0.000001, batch_cost: 1.2274, reader_cost: 0.00022, ips: 1.6295 samples/sec | ETA 01:17:07 2021-08-23 20:30:26 [INFO] [TRAIN] epoch: 420, iter: 156240/160000, loss: 0.0465, lr: 0.000001, batch_cost: 1.1838, reader_cost: 0.00015, ips: 1.6894 samples/sec | ETA 01:14:11 2021-08-23 20:30:41 [INFO] [TRAIN] epoch: 421, iter: 156250/160000, loss: 0.0505, lr: 0.000001, batch_cost: 1.4940, reader_cost: 0.21954, ips: 1.3387 samples/sec | ETA 01:33:22 2021-08-23 20:30:53 [INFO] [TRAIN] epoch: 421, iter: 156260/160000, loss: 0.0479, lr: 0.000001, batch_cost: 1.2132, reader_cost: 0.00076, ips: 1.6486 samples/sec | ETA 01:15:37 2021-08-23 20:31:05 [INFO] [TRAIN] epoch: 421, iter: 156270/160000, loss: 0.0420, lr: 0.000001, batch_cost: 1.2246, reader_cost: 0.00025, ips: 1.6332 samples/sec | ETA 01:16:07 2021-08-23 20:31:17 [INFO] [TRAIN] epoch: 421, iter: 156280/160000, loss: 0.0429, lr: 0.000001, batch_cost: 1.2113, reader_cost: 0.00020, ips: 1.6511 samples/sec | ETA 01:15:05 2021-08-23 20:31:30 [INFO] [TRAIN] epoch: 421, iter: 156290/160000, loss: 0.0491, lr: 0.000001, batch_cost: 1.2142, reader_cost: 0.00021, ips: 1.6472 samples/sec | ETA 01:15:04 2021-08-23 20:31:42 [INFO] [TRAIN] epoch: 421, iter: 156300/160000, loss: 0.0392, lr: 0.000001, batch_cost: 1.2306, reader_cost: 0.00021, ips: 1.6252 samples/sec | ETA 01:15:53 2021-08-23 20:31:54 [INFO] [TRAIN] epoch: 421, iter: 156310/160000, loss: 0.0447, lr: 0.000001, batch_cost: 1.2176, reader_cost: 0.00021, ips: 1.6425 samples/sec | ETA 01:14:53 2021-08-23 20:32:06 [INFO] [TRAIN] epoch: 421, iter: 156320/160000, loss: 0.0490, lr: 0.000001, batch_cost: 1.2246, reader_cost: 0.00021, ips: 1.6331 samples/sec | ETA 01:15:06 2021-08-23 20:32:19 [INFO] [TRAIN] epoch: 421, iter: 156330/160000, loss: 0.0404, lr: 0.000001, batch_cost: 1.2269, reader_cost: 0.00020, ips: 1.6302 samples/sec | ETA 01:15:02 2021-08-23 20:32:31 [INFO] [TRAIN] epoch: 421, iter: 156340/160000, loss: 0.0429, lr: 0.000001, batch_cost: 1.2471, reader_cost: 0.00021, ips: 1.6037 samples/sec | ETA 01:16:04 2021-08-23 20:32:43 [INFO] [TRAIN] epoch: 421, iter: 156350/160000, loss: 0.0460, lr: 0.000001, batch_cost: 1.2336, reader_cost: 0.00022, ips: 1.6213 samples/sec | ETA 01:15:02 2021-08-23 20:32:56 [INFO] [TRAIN] epoch: 421, iter: 156360/160000, loss: 0.0516, lr: 0.000001, batch_cost: 1.2326, reader_cost: 0.00020, ips: 1.6226 samples/sec | ETA 01:14:46 2021-08-23 20:33:08 [INFO] [TRAIN] epoch: 421, iter: 156370/160000, loss: 0.0457, lr: 0.000001, batch_cost: 1.2428, reader_cost: 0.00023, ips: 1.6092 samples/sec | ETA 01:15:11 2021-08-23 20:33:20 [INFO] [TRAIN] epoch: 421, iter: 156380/160000, loss: 0.0467, lr: 0.000001, batch_cost: 1.2262, reader_cost: 0.00021, ips: 1.6310 samples/sec | ETA 01:13:58 2021-08-23 20:33:33 [INFO] [TRAIN] epoch: 421, iter: 156390/160000, loss: 0.0546, lr: 0.000001, batch_cost: 1.2379, reader_cost: 0.00023, ips: 1.6157 samples/sec | ETA 01:14:28 2021-08-23 20:33:45 [INFO] [TRAIN] epoch: 421, iter: 156400/160000, loss: 0.0543, lr: 0.000001, batch_cost: 1.2301, reader_cost: 0.00021, ips: 1.6259 samples/sec | ETA 01:13:48 2021-08-23 20:33:58 [INFO] [TRAIN] epoch: 421, iter: 156410/160000, loss: 0.0428, lr: 0.000001, batch_cost: 1.2450, reader_cost: 0.00024, ips: 1.6064 samples/sec | ETA 01:14:29 2021-08-23 20:34:10 [INFO] [TRAIN] epoch: 421, iter: 156420/160000, loss: 0.0461, lr: 0.000001, batch_cost: 1.2345, reader_cost: 0.00027, ips: 1.6201 samples/sec | ETA 01:13:39 2021-08-23 20:34:22 [INFO] [TRAIN] epoch: 421, iter: 156430/160000, loss: 0.0430, lr: 0.000001, batch_cost: 1.2331, reader_cost: 0.00021, ips: 1.6220 samples/sec | ETA 01:13:22 2021-08-23 20:34:35 [INFO] [TRAIN] epoch: 421, iter: 156440/160000, loss: 0.0439, lr: 0.000001, batch_cost: 1.2449, reader_cost: 0.00021, ips: 1.6065 samples/sec | ETA 01:13:51 2021-08-23 20:34:47 [INFO] [TRAIN] epoch: 421, iter: 156450/160000, loss: 0.0393, lr: 0.000001, batch_cost: 1.2211, reader_cost: 0.00020, ips: 1.6378 samples/sec | ETA 01:12:14 2021-08-23 20:34:59 [INFO] [TRAIN] epoch: 421, iter: 156460/160000, loss: 0.0415, lr: 0.000001, batch_cost: 1.2388, reader_cost: 0.00024, ips: 1.6144 samples/sec | ETA 01:13:05 2021-08-23 20:35:12 [INFO] [TRAIN] epoch: 421, iter: 156470/160000, loss: 0.0403, lr: 0.000001, batch_cost: 1.2299, reader_cost: 0.00021, ips: 1.6261 samples/sec | ETA 01:12:21 2021-08-23 20:35:24 [INFO] [TRAIN] epoch: 421, iter: 156480/160000, loss: 0.0479, lr: 0.000001, batch_cost: 1.2226, reader_cost: 0.00021, ips: 1.6359 samples/sec | ETA 01:11:43 2021-08-23 20:35:36 [INFO] [TRAIN] epoch: 421, iter: 156490/160000, loss: 0.0523, lr: 0.000001, batch_cost: 1.2391, reader_cost: 0.00021, ips: 1.6141 samples/sec | ETA 01:12:29 2021-08-23 20:35:49 [INFO] [TRAIN] epoch: 421, iter: 156500/160000, loss: 0.0471, lr: 0.000001, batch_cost: 1.2315, reader_cost: 0.00022, ips: 1.6241 samples/sec | ETA 01:11:50 2021-08-23 20:36:01 [INFO] [TRAIN] epoch: 421, iter: 156510/160000, loss: 0.0404, lr: 0.000001, batch_cost: 1.2408, reader_cost: 0.00025, ips: 1.6119 samples/sec | ETA 01:12:10 2021-08-23 20:36:13 [INFO] [TRAIN] epoch: 421, iter: 156520/160000, loss: 0.0478, lr: 0.000001, batch_cost: 1.2245, reader_cost: 0.00022, ips: 1.6333 samples/sec | ETA 01:11:01 2021-08-23 20:36:25 [INFO] [TRAIN] epoch: 421, iter: 156530/160000, loss: 0.0458, lr: 0.000001, batch_cost: 1.2195, reader_cost: 0.00022, ips: 1.6401 samples/sec | ETA 01:10:31 2021-08-23 20:36:38 [INFO] [TRAIN] epoch: 421, iter: 156540/160000, loss: 0.0433, lr: 0.000001, batch_cost: 1.2172, reader_cost: 0.00021, ips: 1.6431 samples/sec | ETA 01:10:11 2021-08-23 20:36:50 [INFO] [TRAIN] epoch: 421, iter: 156550/160000, loss: 0.0482, lr: 0.000001, batch_cost: 1.2265, reader_cost: 0.00021, ips: 1.6307 samples/sec | ETA 01:10:31 2021-08-23 20:37:02 [INFO] [TRAIN] epoch: 421, iter: 156560/160000, loss: 0.0427, lr: 0.000001, batch_cost: 1.2247, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 01:10:12 2021-08-23 20:37:14 [INFO] [TRAIN] epoch: 421, iter: 156570/160000, loss: 0.0475, lr: 0.000001, batch_cost: 1.2243, reader_cost: 0.00023, ips: 1.6336 samples/sec | ETA 01:09:59 2021-08-23 20:37:27 [INFO] [TRAIN] epoch: 421, iter: 156580/160000, loss: 0.0403, lr: 0.000001, batch_cost: 1.2243, reader_cost: 0.00022, ips: 1.6336 samples/sec | ETA 01:09:47 2021-08-23 20:37:39 [INFO] [TRAIN] epoch: 421, iter: 156590/160000, loss: 0.0507, lr: 0.000001, batch_cost: 1.2332, reader_cost: 0.00022, ips: 1.6218 samples/sec | ETA 01:10:05 2021-08-23 20:37:51 [INFO] [TRAIN] epoch: 421, iter: 156600/160000, loss: 0.0491, lr: 0.000001, batch_cost: 1.2281, reader_cost: 0.00022, ips: 1.6286 samples/sec | ETA 01:09:35 2021-08-23 20:38:03 [INFO] [TRAIN] epoch: 421, iter: 156610/160000, loss: 0.0521, lr: 0.000001, batch_cost: 1.1827, reader_cost: 0.00016, ips: 1.6910 samples/sec | ETA 01:06:49 2021-08-23 20:38:18 [INFO] [TRAIN] epoch: 422, iter: 156620/160000, loss: 0.0403, lr: 0.000001, batch_cost: 1.4956, reader_cost: 0.22896, ips: 1.3373 samples/sec | ETA 01:24:15 2021-08-23 20:38:30 [INFO] [TRAIN] epoch: 422, iter: 156630/160000, loss: 0.0472, lr: 0.000001, batch_cost: 1.2262, reader_cost: 0.00080, ips: 1.6310 samples/sec | ETA 01:08:52 2021-08-23 20:38:43 [INFO] [TRAIN] epoch: 422, iter: 156640/160000, loss: 0.0518, lr: 0.000001, batch_cost: 1.2365, reader_cost: 0.00023, ips: 1.6174 samples/sec | ETA 01:09:14 2021-08-23 20:38:55 [INFO] [TRAIN] epoch: 422, iter: 156650/160000, loss: 0.0543, lr: 0.000001, batch_cost: 1.2274, reader_cost: 0.00023, ips: 1.6295 samples/sec | ETA 01:08:31 2021-08-23 20:39:07 [INFO] [TRAIN] epoch: 422, iter: 156660/160000, loss: 0.0387, lr: 0.000001, batch_cost: 1.2532, reader_cost: 0.00023, ips: 1.5960 samples/sec | ETA 01:09:45 2021-08-23 20:39:20 [INFO] [TRAIN] epoch: 422, iter: 156670/160000, loss: 0.0527, lr: 0.000001, batch_cost: 1.2371, reader_cost: 0.00024, ips: 1.6167 samples/sec | ETA 01:08:39 2021-08-23 20:39:32 [INFO] [TRAIN] epoch: 422, iter: 156680/160000, loss: 0.0424, lr: 0.000001, batch_cost: 1.2141, reader_cost: 0.00023, ips: 1.6474 samples/sec | ETA 01:07:10 2021-08-23 20:39:44 [INFO] [TRAIN] epoch: 422, iter: 156690/160000, loss: 0.0540, lr: 0.000001, batch_cost: 1.2243, reader_cost: 0.00025, ips: 1.6336 samples/sec | ETA 01:07:32 2021-08-23 20:39:56 [INFO] [TRAIN] epoch: 422, iter: 156700/160000, loss: 0.0481, lr: 0.000001, batch_cost: 1.2185, reader_cost: 0.00022, ips: 1.6413 samples/sec | ETA 01:07:01 2021-08-23 20:40:09 [INFO] [TRAIN] epoch: 422, iter: 156710/160000, loss: 0.0522, lr: 0.000001, batch_cost: 1.2524, reader_cost: 0.00023, ips: 1.5970 samples/sec | ETA 01:08:40 2021-08-23 20:40:21 [INFO] [TRAIN] epoch: 422, iter: 156720/160000, loss: 0.0442, lr: 0.000001, batch_cost: 1.2335, reader_cost: 0.00021, ips: 1.6215 samples/sec | ETA 01:07:25 2021-08-23 20:40:33 [INFO] [TRAIN] epoch: 422, iter: 156730/160000, loss: 0.0468, lr: 0.000001, batch_cost: 1.2291, reader_cost: 0.00021, ips: 1.6271 samples/sec | ETA 01:06:59 2021-08-23 20:40:46 [INFO] [TRAIN] epoch: 422, iter: 156740/160000, loss: 0.0548, lr: 0.000001, batch_cost: 1.2407, reader_cost: 0.00022, ips: 1.6120 samples/sec | ETA 01:07:24 2021-08-23 20:40:58 [INFO] [TRAIN] epoch: 422, iter: 156750/160000, loss: 0.0410, lr: 0.000001, batch_cost: 1.2282, reader_cost: 0.00022, ips: 1.6283 samples/sec | ETA 01:06:31 2021-08-23 20:41:10 [INFO] [TRAIN] epoch: 422, iter: 156760/160000, loss: 0.0453, lr: 0.000001, batch_cost: 1.2316, reader_cost: 0.00021, ips: 1.6239 samples/sec | ETA 01:06:30 2021-08-23 20:41:23 [INFO] [TRAIN] epoch: 422, iter: 156770/160000, loss: 0.0498, lr: 0.000001, batch_cost: 1.2268, reader_cost: 0.00022, ips: 1.6303 samples/sec | ETA 01:06:02 2021-08-23 20:41:35 [INFO] [TRAIN] epoch: 422, iter: 156780/160000, loss: 0.0503, lr: 0.000001, batch_cost: 1.2264, reader_cost: 0.00023, ips: 1.6308 samples/sec | ETA 01:05:48 2021-08-23 20:41:47 [INFO] [TRAIN] epoch: 422, iter: 156790/160000, loss: 0.0541, lr: 0.000001, batch_cost: 1.2102, reader_cost: 0.00022, ips: 1.6526 samples/sec | ETA 01:04:44 2021-08-23 20:41:59 [INFO] [TRAIN] epoch: 422, iter: 156800/160000, loss: 0.0475, lr: 0.000001, batch_cost: 1.2139, reader_cost: 0.00021, ips: 1.6475 samples/sec | ETA 01:04:44 2021-08-23 20:42:11 [INFO] [TRAIN] epoch: 422, iter: 156810/160000, loss: 0.0519, lr: 0.000001, batch_cost: 1.2155, reader_cost: 0.00022, ips: 1.6454 samples/sec | ETA 01:04:37 2021-08-23 20:42:24 [INFO] [TRAIN] epoch: 422, iter: 156820/160000, loss: 0.0365, lr: 0.000001, batch_cost: 1.2120, reader_cost: 0.00022, ips: 1.6501 samples/sec | ETA 01:04:14 2021-08-23 20:42:36 [INFO] [TRAIN] epoch: 422, iter: 156830/160000, loss: 0.0432, lr: 0.000001, batch_cost: 1.2294, reader_cost: 0.00020, ips: 1.6267 samples/sec | ETA 01:04:57 2021-08-23 20:42:48 [INFO] [TRAIN] epoch: 422, iter: 156840/160000, loss: 0.0416, lr: 0.000001, batch_cost: 1.2160, reader_cost: 0.00022, ips: 1.6447 samples/sec | ETA 01:04:02 2021-08-23 20:43:00 [INFO] [TRAIN] epoch: 422, iter: 156850/160000, loss: 0.0435, lr: 0.000001, batch_cost: 1.2157, reader_cost: 0.00022, ips: 1.6451 samples/sec | ETA 01:03:49 2021-08-23 20:43:13 [INFO] [TRAIN] epoch: 422, iter: 156860/160000, loss: 0.0460, lr: 0.000001, batch_cost: 1.2460, reader_cost: 0.00024, ips: 1.6052 samples/sec | ETA 01:05:12 2021-08-23 20:43:25 [INFO] [TRAIN] epoch: 422, iter: 156870/160000, loss: 0.0456, lr: 0.000001, batch_cost: 1.2215, reader_cost: 0.00022, ips: 1.6374 samples/sec | ETA 01:03:43 2021-08-23 20:43:37 [INFO] [TRAIN] epoch: 422, iter: 156880/160000, loss: 0.0439, lr: 0.000001, batch_cost: 1.2324, reader_cost: 0.00021, ips: 1.6228 samples/sec | ETA 01:04:05 2021-08-23 20:43:49 [INFO] [TRAIN] epoch: 422, iter: 156890/160000, loss: 0.0479, lr: 0.000001, batch_cost: 1.2167, reader_cost: 0.00021, ips: 1.6437 samples/sec | ETA 01:03:04 2021-08-23 20:44:02 [INFO] [TRAIN] epoch: 422, iter: 156900/160000, loss: 0.0486, lr: 0.000001, batch_cost: 1.2315, reader_cost: 0.00020, ips: 1.6240 samples/sec | ETA 01:03:37 2021-08-23 20:44:14 [INFO] [TRAIN] epoch: 422, iter: 156910/160000, loss: 0.0421, lr: 0.000001, batch_cost: 1.2234, reader_cost: 0.00021, ips: 1.6347 samples/sec | ETA 01:03:00 2021-08-23 20:44:26 [INFO] [TRAIN] epoch: 422, iter: 156920/160000, loss: 0.0530, lr: 0.000001, batch_cost: 1.2123, reader_cost: 0.00021, ips: 1.6498 samples/sec | ETA 01:02:13 2021-08-23 20:44:38 [INFO] [TRAIN] epoch: 422, iter: 156930/160000, loss: 0.0515, lr: 0.000001, batch_cost: 1.2166, reader_cost: 0.00022, ips: 1.6440 samples/sec | ETA 01:02:14 2021-08-23 20:44:50 [INFO] [TRAIN] epoch: 422, iter: 156940/160000, loss: 0.0569, lr: 0.000001, batch_cost: 1.2214, reader_cost: 0.00023, ips: 1.6374 samples/sec | ETA 01:02:17 2021-08-23 20:45:03 [INFO] [TRAIN] epoch: 422, iter: 156950/160000, loss: 0.0509, lr: 0.000001, batch_cost: 1.2246, reader_cost: 0.00022, ips: 1.6331 samples/sec | ETA 01:02:15 2021-08-23 20:45:15 [INFO] [TRAIN] epoch: 422, iter: 156960/160000, loss: 0.0481, lr: 0.000001, batch_cost: 1.2143, reader_cost: 0.00021, ips: 1.6470 samples/sec | ETA 01:01:31 2021-08-23 20:45:27 [INFO] [TRAIN] epoch: 422, iter: 156970/160000, loss: 0.0436, lr: 0.000001, batch_cost: 1.2373, reader_cost: 0.00022, ips: 1.6164 samples/sec | ETA 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epoch: 423, iter: 157090/160000, loss: 0.0474, lr: 0.000001, batch_cost: 1.2219, reader_cost: 0.00022, ips: 1.6368 samples/sec | ETA 00:59:15 2021-08-23 20:48:09 [INFO] [TRAIN] epoch: 423, iter: 157100/160000, loss: 0.0417, lr: 0.000001, batch_cost: 1.2373, reader_cost: 0.00022, ips: 1.6164 samples/sec | ETA 00:59:48 2021-08-23 20:48:21 [INFO] [TRAIN] epoch: 423, iter: 157110/160000, loss: 0.0478, lr: 0.000001, batch_cost: 1.2277, reader_cost: 0.00022, ips: 1.6290 samples/sec | ETA 00:59:08 2021-08-23 20:48:34 [INFO] [TRAIN] epoch: 423, iter: 157120/160000, loss: 0.0428, lr: 0.000001, batch_cost: 1.2244, reader_cost: 0.00021, ips: 1.6335 samples/sec | ETA 00:58:46 2021-08-23 20:48:46 [INFO] [TRAIN] epoch: 423, iter: 157130/160000, loss: 0.0464, lr: 0.000001, batch_cost: 1.2344, reader_cost: 0.00022, ips: 1.6203 samples/sec | ETA 00:59:02 2021-08-23 20:48:58 [INFO] [TRAIN] epoch: 423, iter: 157140/160000, loss: 0.0384, lr: 0.000001, batch_cost: 1.2240, reader_cost: 0.00022, ips: 1.6340 samples/sec | ETA 00:58:20 2021-08-23 20:49:10 [INFO] [TRAIN] epoch: 423, iter: 157150/160000, loss: 0.0438, lr: 0.000001, batch_cost: 1.2323, reader_cost: 0.00023, ips: 1.6230 samples/sec | ETA 00:58:32 2021-08-23 20:49:23 [INFO] [TRAIN] epoch: 423, iter: 157160/160000, loss: 0.0451, lr: 0.000001, batch_cost: 1.2162, reader_cost: 0.00022, ips: 1.6445 samples/sec | ETA 00:57:33 2021-08-23 20:49:35 [INFO] [TRAIN] epoch: 423, iter: 157170/160000, loss: 0.0443, lr: 0.000001, batch_cost: 1.2229, reader_cost: 0.00021, ips: 1.6355 samples/sec | ETA 00:57:40 2021-08-23 20:49:47 [INFO] [TRAIN] epoch: 423, iter: 157180/160000, loss: 0.0446, lr: 0.000001, batch_cost: 1.2101, reader_cost: 0.00021, ips: 1.6527 samples/sec | ETA 00:56:52 2021-08-23 20:49:59 [INFO] [TRAIN] epoch: 423, iter: 157190/160000, loss: 0.0478, lr: 0.000001, batch_cost: 1.2149, reader_cost: 0.00019, ips: 1.6462 samples/sec | ETA 00:56:53 2021-08-23 20:50:11 [INFO] [TRAIN] epoch: 423, iter: 157200/160000, loss: 0.0436, lr: 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[INFO] [TRAIN] epoch: 423, iter: 157260/160000, loss: 0.0444, lr: 0.000001, batch_cost: 1.2116, reader_cost: 0.00022, ips: 1.6508 samples/sec | ETA 00:55:19 2021-08-23 20:51:37 [INFO] [TRAIN] epoch: 423, iter: 157270/160000, loss: 0.0538, lr: 0.000001, batch_cost: 1.2500, reader_cost: 0.00023, ips: 1.6000 samples/sec | ETA 00:56:52 2021-08-23 20:51:50 [INFO] [TRAIN] epoch: 423, iter: 157280/160000, loss: 0.0565, lr: 0.000001, batch_cost: 1.2190, reader_cost: 0.00020, ips: 1.6406 samples/sec | ETA 00:55:15 2021-08-23 20:52:02 [INFO] [TRAIN] epoch: 423, iter: 157290/160000, loss: 0.0420, lr: 0.000001, batch_cost: 1.2325, reader_cost: 0.00023, ips: 1.6227 samples/sec | ETA 00:55:40 2021-08-23 20:52:14 [INFO] [TRAIN] epoch: 423, iter: 157300/160000, loss: 0.0422, lr: 0.000001, batch_cost: 1.2381, reader_cost: 0.00022, ips: 1.6154 samples/sec | ETA 00:55:42 2021-08-23 20:52:26 [INFO] [TRAIN] epoch: 423, iter: 157310/160000, loss: 0.0514, lr: 0.000001, batch_cost: 1.2206, reader_cost: 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[INFO] [TRAIN] epoch: 425, iter: 157880/160000, loss: 0.0437, lr: 0.000001, batch_cost: 1.2313, reader_cost: 0.00023, ips: 1.6244 samples/sec | ETA 00:43:30 2021-08-23 21:04:22 [INFO] [TRAIN] epoch: 425, iter: 157890/160000, loss: 0.0464, lr: 0.000001, batch_cost: 1.2252, reader_cost: 0.00023, ips: 1.6324 samples/sec | ETA 00:43:05 2021-08-23 21:04:34 [INFO] [TRAIN] epoch: 425, iter: 157900/160000, loss: 0.0443, lr: 0.000001, batch_cost: 1.2208, reader_cost: 0.00023, ips: 1.6382 samples/sec | ETA 00:42:43 2021-08-23 21:04:46 [INFO] [TRAIN] epoch: 425, iter: 157910/160000, loss: 0.0533, lr: 0.000001, batch_cost: 1.2344, reader_cost: 0.00021, ips: 1.6202 samples/sec | ETA 00:42:59 2021-08-23 21:04:59 [INFO] [TRAIN] epoch: 425, iter: 157920/160000, loss: 0.0472, lr: 0.000001, batch_cost: 1.2382, reader_cost: 0.00022, ips: 1.6152 samples/sec | ETA 00:42:55 2021-08-23 21:05:11 [INFO] [TRAIN] epoch: 425, iter: 157930/160000, loss: 0.0375, lr: 0.000001, batch_cost: 1.2460, reader_cost: 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samples/sec | ETA 00:33:02 2021-08-23 21:14:36 [INFO] [TRAIN] epoch: 426, iter: 158390/160000, loss: 0.0434, lr: 0.000001, batch_cost: 1.2243, reader_cost: 0.00023, ips: 1.6336 samples/sec | ETA 00:32:51 2021-08-23 21:14:49 [INFO] [TRAIN] epoch: 426, iter: 158400/160000, loss: 0.0449, lr: 0.000001, batch_cost: 1.2185, reader_cost: 0.00023, ips: 1.6413 samples/sec | ETA 00:32:29 2021-08-23 21:15:01 [INFO] [TRAIN] epoch: 426, iter: 158410/160000, loss: 0.0461, lr: 0.000001, batch_cost: 1.2254, reader_cost: 0.00022, ips: 1.6321 samples/sec | ETA 00:32:28 2021-08-23 21:15:13 [INFO] [TRAIN] epoch: 426, iter: 158420/160000, loss: 0.0453, lr: 0.000001, batch_cost: 1.2534, reader_cost: 0.00022, ips: 1.5957 samples/sec | ETA 00:33:00 2021-08-23 21:15:26 [INFO] [TRAIN] epoch: 426, iter: 158430/160000, loss: 0.0362, lr: 0.000001, batch_cost: 1.2149, reader_cost: 0.00021, ips: 1.6462 samples/sec | ETA 00:31:47 2021-08-23 21:15:38 [INFO] [TRAIN] epoch: 426, iter: 158440/160000, loss: 0.0461, lr: 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[INFO] [TRAIN] epoch: 427, iter: 158500/160000, loss: 0.0477, lr: 0.000001, batch_cost: 1.2098, reader_cost: 0.00022, ips: 1.6532 samples/sec | ETA 00:30:14 2021-08-23 21:17:05 [INFO] [TRAIN] epoch: 427, iter: 158510/160000, loss: 0.0445, lr: 0.000001, batch_cost: 1.2125, reader_cost: 0.00024, ips: 1.6495 samples/sec | ETA 00:30:06 2021-08-23 21:17:17 [INFO] [TRAIN] epoch: 427, iter: 158520/160000, loss: 0.0495, lr: 0.000001, batch_cost: 1.2180, reader_cost: 0.00020, ips: 1.6420 samples/sec | ETA 00:30:02 2021-08-23 21:17:30 [INFO] [TRAIN] epoch: 427, iter: 158530/160000, loss: 0.0437, lr: 0.000001, batch_cost: 1.2178, reader_cost: 0.00020, ips: 1.6423 samples/sec | ETA 00:29:50 2021-08-23 21:17:42 [INFO] [TRAIN] epoch: 427, iter: 158540/160000, loss: 0.0514, lr: 0.000001, batch_cost: 1.2126, reader_cost: 0.00020, ips: 1.6494 samples/sec | ETA 00:29:30 2021-08-23 21:17:54 [INFO] [TRAIN] epoch: 427, iter: 158550/160000, loss: 0.0474, lr: 0.000001, batch_cost: 1.1976, reader_cost: 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2021-08-23 21:20:18 [INFO] [TRAIN] epoch: 427, iter: 158670/160000, loss: 0.0512, lr: 0.000000, batch_cost: 1.2063, reader_cost: 0.00019, ips: 1.6580 samples/sec | ETA 00:26:44 2021-08-23 21:20:30 [INFO] [TRAIN] epoch: 427, iter: 158680/160000, loss: 0.0418, lr: 0.000000, batch_cost: 1.2064, reader_cost: 0.00019, ips: 1.6579 samples/sec | ETA 00:26:32 2021-08-23 21:20:42 [INFO] [TRAIN] epoch: 427, iter: 158690/160000, loss: 0.0526, lr: 0.000000, batch_cost: 1.2043, reader_cost: 0.00020, ips: 1.6608 samples/sec | ETA 00:26:17 2021-08-23 21:20:54 [INFO] [TRAIN] epoch: 427, iter: 158700/160000, loss: 0.0471, lr: 0.000000, batch_cost: 1.1980, reader_cost: 0.00019, ips: 1.6694 samples/sec | ETA 00:25:57 2021-08-23 21:21:06 [INFO] [TRAIN] epoch: 427, iter: 158710/160000, loss: 0.0385, lr: 0.000000, batch_cost: 1.1992, reader_cost: 0.00019, ips: 1.6677 samples/sec | ETA 00:25:47 2021-08-23 21:21:18 [INFO] [TRAIN] epoch: 427, iter: 158720/160000, loss: 0.0390, lr: 0.000000, batch_cost: 1.1957, 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00:23:24 2021-08-23 21:23:42 [INFO] [TRAIN] epoch: 427, iter: 158840/160000, loss: 0.0439, lr: 0.000000, batch_cost: 1.1738, reader_cost: 0.00013, ips: 1.7039 samples/sec | ETA 00:22:41 2021-08-23 21:23:56 [INFO] [TRAIN] epoch: 428, iter: 158850/160000, loss: 0.0526, lr: 0.000000, batch_cost: 1.4136, reader_cost: 0.17275, ips: 1.4148 samples/sec | ETA 00:27:05 2021-08-23 21:24:08 [INFO] [TRAIN] epoch: 428, iter: 158860/160000, loss: 0.0429, lr: 0.000000, batch_cost: 1.2057, reader_cost: 0.00064, ips: 1.6588 samples/sec | ETA 00:22:54 2021-08-23 21:24:20 [INFO] [TRAIN] epoch: 428, iter: 158870/160000, loss: 0.0508, lr: 0.000000, batch_cost: 1.2002, reader_cost: 0.00017, ips: 1.6664 samples/sec | ETA 00:22:36 2021-08-23 21:24:32 [INFO] [TRAIN] epoch: 428, iter: 158880/160000, loss: 0.0537, lr: 0.000000, batch_cost: 1.1890, reader_cost: 0.00017, ips: 1.6821 samples/sec | ETA 00:22:11 2021-08-23 21:24:44 [INFO] [TRAIN] epoch: 428, iter: 158890/160000, loss: 0.0537, lr: 0.000000, 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epoch: 428, iter: 158950/160000, loss: 0.0453, lr: 0.000000, batch_cost: 1.1908, reader_cost: 0.00018, ips: 1.6795 samples/sec | ETA 00:20:50 2021-08-23 21:26:08 [INFO] [TRAIN] epoch: 428, iter: 158960/160000, loss: 0.0422, lr: 0.000000, batch_cost: 1.1931, reader_cost: 0.00019, ips: 1.6763 samples/sec | ETA 00:20:40 2021-08-23 21:26:20 [INFO] [TRAIN] epoch: 428, iter: 158970/160000, loss: 0.0514, lr: 0.000000, batch_cost: 1.1973, reader_cost: 0.00017, ips: 1.6705 samples/sec | ETA 00:20:33 2021-08-23 21:26:32 [INFO] [TRAIN] epoch: 428, iter: 158980/160000, loss: 0.0463, lr: 0.000000, batch_cost: 1.1975, reader_cost: 0.00018, ips: 1.6702 samples/sec | ETA 00:20:21 2021-08-23 21:26:44 [INFO] [TRAIN] epoch: 428, iter: 158990/160000, loss: 0.0437, lr: 0.000000, batch_cost: 1.1892, reader_cost: 0.00017, ips: 1.6818 samples/sec | ETA 00:20:01 2021-08-23 21:26:55 [INFO] [TRAIN] epoch: 428, iter: 159000/160000, loss: 0.0382, lr: 0.000000, batch_cost: 1.1778, reader_cost: 0.00017, ips: 1.6981 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[INFO] [TRAIN] epoch: 428, iter: 159120/160000, loss: 0.0541, lr: 0.000000, batch_cost: 1.1826, reader_cost: 0.00016, ips: 1.6912 samples/sec | ETA 00:17:20 2021-08-23 21:29:30 [INFO] [TRAIN] epoch: 428, iter: 159130/160000, loss: 0.0469, lr: 0.000000, batch_cost: 1.1861, reader_cost: 0.00016, ips: 1.6862 samples/sec | ETA 00:17:11 2021-08-23 21:29:42 [INFO] [TRAIN] epoch: 428, iter: 159140/160000, loss: 0.0517, lr: 0.000000, batch_cost: 1.1911, reader_cost: 0.00016, ips: 1.6792 samples/sec | ETA 00:17:04 2021-08-23 21:29:54 [INFO] [TRAIN] epoch: 428, iter: 159150/160000, loss: 0.0452, lr: 0.000000, batch_cost: 1.1923, reader_cost: 0.00016, ips: 1.6774 samples/sec | ETA 00:16:53 2021-08-23 21:30:06 [INFO] [TRAIN] epoch: 428, iter: 159160/160000, loss: 0.0427, lr: 0.000000, batch_cost: 1.1917, reader_cost: 0.00017, ips: 1.6783 samples/sec | ETA 00:16:41 2021-08-23 21:30:18 [INFO] [TRAIN] epoch: 428, iter: 159170/160000, loss: 0.0519, lr: 0.000000, batch_cost: 1.1934, reader_cost: 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epoch: 429, iter: 159570/160000, loss: 0.0442, lr: 0.000000, batch_cost: 1.1927, reader_cost: 0.00018, ips: 1.6768 samples/sec | ETA 00:08:32 2021-08-23 21:38:31 [INFO] [TRAIN] epoch: 429, iter: 159580/160000, loss: 0.0523, lr: 0.000000, batch_cost: 1.1836, reader_cost: 0.00015, ips: 1.6898 samples/sec | ETA 00:08:17 2021-08-23 21:38:45 [INFO] [TRAIN] epoch: 430, iter: 159590/160000, loss: 0.0521, lr: 0.000000, batch_cost: 1.4072, reader_cost: 0.17833, ips: 1.4212 samples/sec | ETA 00:09:36 2021-08-23 21:38:57 [INFO] [TRAIN] epoch: 430, iter: 159600/160000, loss: 0.0424, lr: 0.000000, batch_cost: 1.1947, reader_cost: 0.00066, ips: 1.6741 samples/sec | ETA 00:07:57 2021-08-23 21:39:09 [INFO] [TRAIN] epoch: 430, iter: 159610/160000, loss: 0.0364, lr: 0.000000, batch_cost: 1.1909, reader_cost: 0.00017, ips: 1.6795 samples/sec | ETA 00:07:44 2021-08-23 21:39:21 [INFO] [TRAIN] epoch: 430, iter: 159620/160000, loss: 0.0409, lr: 0.000000, batch_cost: 1.2017, reader_cost: 0.00019, ips: 1.6643 samples/sec | ETA 00:07:36 2021-08-23 21:39:33 [INFO] [TRAIN] epoch: 430, iter: 159630/160000, loss: 0.0459, lr: 0.000000, batch_cost: 1.1898, reader_cost: 0.00017, ips: 1.6809 samples/sec | ETA 00:07:20 2021-08-23 21:39:45 [INFO] [TRAIN] epoch: 430, iter: 159640/160000, loss: 0.0442, lr: 0.000000, batch_cost: 1.1877, reader_cost: 0.00018, ips: 1.6839 samples/sec | ETA 00:07:07 2021-08-23 21:39:57 [INFO] [TRAIN] epoch: 430, iter: 159650/160000, loss: 0.0409, lr: 0.000000, batch_cost: 1.1954, reader_cost: 0.00017, ips: 1.6731 samples/sec | ETA 00:06:58 2021-08-23 21:40:09 [INFO] [TRAIN] epoch: 430, iter: 159660/160000, loss: 0.0471, lr: 0.000000, batch_cost: 1.2036, reader_cost: 0.00018, ips: 1.6617 samples/sec | ETA 00:06:49 2021-08-23 21:40:21 [INFO] [TRAIN] epoch: 430, iter: 159670/160000, loss: 0.0453, lr: 0.000000, batch_cost: 1.2000, reader_cost: 0.00017, ips: 1.6667 samples/sec | ETA 00:06:35 2021-08-23 21:40:33 [INFO] [TRAIN] epoch: 430, iter: 159680/160000, loss: 0.0439, lr: 0.000000, batch_cost: 1.1891, reader_cost: 0.00017, ips: 1.6820 samples/sec | ETA 00:06:20 2021-08-23 21:40:45 [INFO] [TRAIN] epoch: 430, iter: 159690/160000, loss: 0.0496, lr: 0.000000, batch_cost: 1.1920, reader_cost: 0.00018, ips: 1.6779 samples/sec | ETA 00:06:09 2021-08-23 21:40:57 [INFO] [TRAIN] epoch: 430, iter: 159700/160000, loss: 0.0531, lr: 0.000000, batch_cost: 1.1924, reader_cost: 0.00018, ips: 1.6773 samples/sec | ETA 00:05:57 2021-08-23 21:41:09 [INFO] [TRAIN] epoch: 430, iter: 159710/160000, loss: 0.0509, lr: 0.000000, batch_cost: 1.2199, reader_cost: 0.00019, ips: 1.6395 samples/sec | ETA 00:05:53 2021-08-23 21:41:21 [INFO] [TRAIN] epoch: 430, iter: 159720/160000, loss: 0.0437, lr: 0.000000, batch_cost: 1.2302, reader_cost: 0.00018, ips: 1.6258 samples/sec | ETA 00:05:44 2021-08-23 21:41:33 [INFO] [TRAIN] epoch: 430, iter: 159730/160000, loss: 0.0456, lr: 0.000000, batch_cost: 1.2044, reader_cost: 0.00019, ips: 1.6605 samples/sec | ETA 00:05:25 2021-08-23 21:41:45 [INFO] [TRAIN] epoch: 430, iter: 159740/160000, loss: 0.0485, lr: 0.000000, batch_cost: 1.2196, reader_cost: 0.00019, ips: 1.6399 samples/sec | ETA 00:05:17 2021-08-23 21:41:57 [INFO] [TRAIN] epoch: 430, iter: 159750/160000, loss: 0.0520, lr: 0.000000, batch_cost: 1.2103, reader_cost: 0.00019, ips: 1.6525 samples/sec | ETA 00:05:02 2021-08-23 21:42:10 [INFO] [TRAIN] epoch: 430, iter: 159760/160000, loss: 0.0508, lr: 0.000000, batch_cost: 1.2014, reader_cost: 0.00019, ips: 1.6647 samples/sec | ETA 00:04:48 2021-08-23 21:42:21 [INFO] [TRAIN] epoch: 430, iter: 159770/160000, loss: 0.0414, lr: 0.000000, batch_cost: 1.1980, reader_cost: 0.00018, ips: 1.6694 samples/sec | ETA 00:04:35 2021-08-23 21:42:34 [INFO] [TRAIN] epoch: 430, iter: 159780/160000, loss: 0.0406, lr: 0.000000, batch_cost: 1.2246, reader_cost: 0.00019, ips: 1.6332 samples/sec | ETA 00:04:29 2021-08-23 21:42:46 [INFO] [TRAIN] epoch: 430, iter: 159790/160000, loss: 0.0511, lr: 0.000000, batch_cost: 1.1987, reader_cost: 0.00018, ips: 1.6685 samples/sec | ETA 00:04:11 2021-08-23 21:42:58 [INFO] [TRAIN] epoch: 430, iter: 159800/160000, loss: 0.0594, lr: 0.000000, batch_cost: 1.1913, reader_cost: 0.00017, ips: 1.6788 samples/sec | ETA 00:03:58 2021-08-23 21:43:09 [INFO] [TRAIN] epoch: 430, iter: 159810/160000, loss: 0.0392, lr: 0.000000, batch_cost: 1.1860, reader_cost: 0.00016, ips: 1.6863 samples/sec | ETA 00:03:45 2021-08-23 21:43:21 [INFO] [TRAIN] epoch: 430, iter: 159820/160000, loss: 0.0438, lr: 0.000000, batch_cost: 1.1867, reader_cost: 0.00017, ips: 1.6854 samples/sec | ETA 00:03:33 2021-08-23 21:43:33 [INFO] [TRAIN] epoch: 430, iter: 159830/160000, loss: 0.0476, lr: 0.000000, batch_cost: 1.1878, reader_cost: 0.00057, ips: 1.6838 samples/sec | ETA 00:03:21 2021-08-23 21:43:45 [INFO] [TRAIN] epoch: 430, iter: 159840/160000, loss: 0.0424, lr: 0.000000, batch_cost: 1.1855, reader_cost: 0.00017, ips: 1.6871 samples/sec | ETA 00:03:09 2021-08-23 21:43:57 [INFO] [TRAIN] epoch: 430, iter: 159850/160000, loss: 0.0419, lr: 0.000000, batch_cost: 1.1878, reader_cost: 0.00017, ips: 1.6837 samples/sec | ETA 00:02:58 2021-08-23 21:44:09 [INFO] [TRAIN] epoch: 430, iter: 159860/160000, loss: 0.0505, lr: 0.000000, batch_cost: 1.2000, reader_cost: 0.00017, ips: 1.6666 samples/sec | ETA 00:02:48 2021-08-23 21:44:21 [INFO] [TRAIN] epoch: 430, iter: 159870/160000, loss: 0.0488, lr: 0.000000, batch_cost: 1.1907, reader_cost: 0.00018, ips: 1.6797 samples/sec | ETA 00:02:34 2021-08-23 21:44:33 [INFO] [TRAIN] epoch: 430, iter: 159880/160000, loss: 0.0498, lr: 0.000000, batch_cost: 1.1998, reader_cost: 0.00016, ips: 1.6669 samples/sec | ETA 00:02:23 2021-08-23 21:44:45 [INFO] [TRAIN] epoch: 430, iter: 159890/160000, loss: 0.0479, lr: 0.000000, batch_cost: 1.2081, reader_cost: 0.00016, ips: 1.6556 samples/sec | ETA 00:02:12 2021-08-23 21:44:57 [INFO] [TRAIN] epoch: 430, iter: 159900/160000, loss: 0.0413, lr: 0.000000, batch_cost: 1.2099, reader_cost: 0.00017, ips: 1.6531 samples/sec | ETA 00:02:00 2021-08-23 21:45:09 [INFO] [TRAIN] epoch: 430, iter: 159910/160000, loss: 0.0460, lr: 0.000000, batch_cost: 1.1998, reader_cost: 0.00016, ips: 1.6669 samples/sec | ETA 00:01:47 2021-08-23 21:45:21 [INFO] [TRAIN] epoch: 430, iter: 159920/160000, loss: 0.0494, lr: 0.000000, batch_cost: 1.2081, reader_cost: 0.00016, ips: 1.6555 samples/sec | ETA 00:01:36 2021-08-23 21:45:33 [INFO] [TRAIN] epoch: 430, iter: 159930/160000, loss: 0.0466, lr: 0.000000, batch_cost: 1.2087, reader_cost: 0.00016, ips: 1.6546 samples/sec | ETA 00:01:24 2021-08-23 21:45:45 [INFO] [TRAIN] epoch: 430, iter: 159940/160000, loss: 0.0485, lr: 0.000000, batch_cost: 1.2124, reader_cost: 0.00016, ips: 1.6496 samples/sec | ETA 00:01:12 2021-08-23 21:45:57 [INFO] [TRAIN] epoch: 430, iter: 159950/160000, loss: 0.0488, lr: 0.000000, batch_cost: 1.2114, reader_cost: 0.00016, ips: 1.6510 samples/sec | ETA 00:01:00 2021-08-23 21:46:09 [INFO] [TRAIN] epoch: 430, iter: 159960/160000, loss: 0.0459, lr: 0.000000, batch_cost: 1.1864, reader_cost: 0.00012, ips: 1.6858 samples/sec | ETA 00:00:47 2021-08-23 21:46:23 [INFO] [TRAIN] epoch: 431, iter: 159970/160000, loss: 0.0475, lr: 0.000000, batch_cost: 1.3930, reader_cost: 0.16489, ips: 1.4357 samples/sec | ETA 00:00:41 2021-08-23 21:46:35 [INFO] [TRAIN] epoch: 431, iter: 159980/160000, loss: 0.0446, lr: 0.000000, batch_cost: 1.1913, reader_cost: 0.00064, ips: 1.6789 samples/sec | ETA 00:00:23 2021-08-23 21:46:47 [INFO] [TRAIN] epoch: 431, iter: 159990/160000, loss: 0.0437, lr: 0.000000, batch_cost: 1.1953, reader_cost: 0.00017, ips: 1.6732 samples/sec | ETA 00:00:11 2021-08-23 21:46:59 [INFO] [TRAIN] epoch: 431, iter: 160000/160000, loss: 0.0540, lr: 0.000000, batch_cost: 1.1924, reader_cost: 0.00016, ips: 1.6772 samples/sec | ETA 00:00:00 2021-08-23 21:46:59 [INFO] Start evaluating (total_samples: 500, total_iters: 125)... 1/125 [..............................] - ETA: 4:51 - batch_cost: 2.3516 - reader cost: 0.3598 2/125 [..............................] - ETA: 4:18 - batch_cost: 2.1033 - reader cost: 0.1800 3/125 [..............................] - ETA: 4:05 - batch_cost: 2.0155 - reader cost: 0.1200 4/125 [..............................] - ETA: 3:59 - batch_cost: 1.9763 - reader cost: 0.0901 5/125 [>.............................] - ETA: 3:54 - batch_cost: 1.9545 - reader cost: 0.0721 6/125 [>.............................] - ETA: 3:50 - batch_cost: 1.9402 - reader cost: 0.0601 7/125 [>.............................] - ETA: 3:47 - batch_cost: 1.9267 - reader cost: 0.0516 8/125 [>.............................] - ETA: 3:44 - batch_cost: 1.9167 - reader cost: 0.0451 9/125 [=>............................] - ETA: 3:41 - batch_cost: 1.9097 - reader cost: 0.0401 10/125 [=>............................] - ETA: 3:38 - batch_cost: 1.9036 - reader cost: 0.0361 11/125 [=>............................] - ETA: 3:36 - batch_cost: 1.9000 - reader cost: 0.0329 12/125 [=>............................] - ETA: 3:34 - batch_cost: 1.8949 - reader cost: 0.0301 13/125 [==>...........................] - ETA: 3:32 - batch_cost: 1.8928 - reader cost: 0.0278 14/125 [==>...........................] - ETA: 3:29 - batch_cost: 1.8912 - reader cost: 0.0259 15/125 [==>...........................] - ETA: 3:27 - batch_cost: 1.8898 - reader cost: 0.0242 16/125 [==>...........................] - ETA: 3:25 - batch_cost: 1.8887 - reader cost: 0.0227 17/125 [===>..........................] - ETA: 3:23 - batch_cost: 1.8878 - reader cost: 0.0213 18/125 [===>..........................] - ETA: 3:21 - batch_cost: 1.8863 - reader cost: 0.0202 19/125 [===>..........................] - ETA: 3:19 - batch_cost: 1.8849 - reader cost: 0.0191 20/125 [===>..........................] - ETA: 3:17 - batch_cost: 1.8834 - reader cost: 0.0182 21/125 [====>.........................] - ETA: 3:15 - batch_cost: 1.8820 - reader cost: 0.0173 22/125 [====>.........................] - ETA: 3:13 - batch_cost: 1.8819 - reader cost: 0.0165 23/125 [====>.........................] - ETA: 3:11 - batch_cost: 1.8811 - reader cost: 0.0158 24/125 [====>.........................] - ETA: 3:09 - batch_cost: 1.8805 - reader cost: 0.0152 25/125 [=====>........................] - ETA: 3:08 - batch_cost: 1.8800 - reader cost: 0.0146 26/125 [=====>........................] - ETA: 3:06 - batch_cost: 1.8793 - reader cost: 0.0140 27/125 [=====>........................] - ETA: 3:04 - batch_cost: 1.8791 - reader cost: 0.0135 28/125 [=====>........................] - ETA: 3:02 - batch_cost: 1.8781 - reader cost: 0.0130 29/125 [=====>........................] - ETA: 3:00 - batch_cost: 1.8777 - reader cost: 0.0126 30/125 [======>.......................] - ETA: 2:58 - batch_cost: 1.8770 - reader cost: 0.0122 31/125 [======>.......................] - ETA: 2:56 - batch_cost: 1.8766 - reader cost: 0.0118 32/125 [======>.......................] - ETA: 2:54 - batch_cost: 1.8765 - reader cost: 0.0114 33/125 [======>.......................] - ETA: 2:52 - batch_cost: 1.8763 - reader cost: 0.0111 34/125 [=======>......................] - ETA: 2:50 - batch_cost: 1.8767 - reader cost: 0.0108 35/125 [=======>......................] - ETA: 2:48 - batch_cost: 1.8768 - reader cost: 0.0105 36/125 [=======>......................] - ETA: 2:47 - batch_cost: 1.8770 - reader cost: 0.0102 37/125 [=======>......................] - ETA: 2:45 - batch_cost: 1.8769 - reader cost: 0.0099 38/125 [========>.....................] - ETA: 2:43 - batch_cost: 1.8769 - reader cost: 0.0096 39/125 [========>.....................] - ETA: 2:41 - batch_cost: 1.8763 - reader cost: 0.0094 40/125 [========>.....................] - ETA: 2:39 - batch_cost: 1.8760 - reader cost: 0.0092 41/125 [========>.....................] - ETA: 2:37 - batch_cost: 1.8767 - reader cost: 0.0089 42/125 [=========>....................] - ETA: 2:35 - batch_cost: 1.8763 - reader cost: 0.0087 43/125 [=========>....................] - ETA: 2:33 - batch_cost: 1.8758 - reader cost: 0.0085 44/125 [=========>....................] - ETA: 2:31 - batch_cost: 1.8755 - reader cost: 0.0084 45/125 [=========>....................] - ETA: 2:30 - batch_cost: 1.8758 - reader cost: 0.0082 46/125 [==========>...................] - ETA: 2:28 - batch_cost: 1.8756 - reader cost: 0.0080 47/125 [==========>...................] - ETA: 2:26 - batch_cost: 1.8753 - reader cost: 0.0078 48/125 [==========>...................] - ETA: 2:24 - batch_cost: 1.8750 - reader cost: 0.0077 49/125 [==========>...................] - ETA: 2:22 - batch_cost: 1.8746 - reader cost: 0.0075 50/125 [===========>..................] - ETA: 2:20 - batch_cost: 1.8745 - reader cost: 0.0074 51/125 [===========>..................] - ETA: 2:18 - batch_cost: 1.8741 - reader cost: 0.0072 52/125 [===========>..................] - ETA: 2:16 - batch_cost: 1.8742 - reader cost: 0.0071 53/125 [===========>..................] - ETA: 2:14 - batch_cost: 1.8741 - reader cost: 0.0070 54/125 [===========>..................] - ETA: 2:13 - batch_cost: 1.8742 - reader cost: 0.0068 55/125 [============>.................] - ETA: 2:11 - batch_cost: 1.8745 - reader cost: 0.0067 56/125 [============>.................] - ETA: 2:09 - batch_cost: 1.8741 - reader cost: 0.0066 57/125 [============>.................] - ETA: 2:07 - batch_cost: 1.8741 - reader cost: 0.0065 58/125 [============>.................] - ETA: 2:05 - batch_cost: 1.8742 - reader cost: 0.0064 59/125 [=============>................] - ETA: 2:03 - batch_cost: 1.8743 - reader cost: 0.0063 60/125 [=============>................] - ETA: 2:01 - batch_cost: 1.8742 - reader cost: 0.0062 61/125 [=============>................] - ETA: 1:59 - batch_cost: 1.8740 - reader cost: 0.0061 62/125 [=============>................] - ETA: 1:58 - batch_cost: 1.8741 - reader cost: 0.0060 63/125 [==============>...............] - ETA: 1:56 - batch_cost: 1.8742 - reader cost: 0.0059 64/125 [==============>...............] - ETA: 1:54 - batch_cost: 1.8744 - reader cost: 0.0058 65/125 [==============>...............] - ETA: 1:52 - batch_cost: 1.8744 - reader cost: 0.0057 66/125 [==============>...............] - ETA: 1:50 - batch_cost: 1.8743 - reader cost: 0.0056 67/125 [===============>..............] - ETA: 1:48 - batch_cost: 1.8743 - reader cost: 0.0055 68/125 [===============>..............] - ETA: 1:46 - batch_cost: 1.8745 - reader cost: 0.0055 69/125 [===============>..............] - ETA: 1:44 - batch_cost: 1.8742 - reader cost: 0.0054 70/125 [===============>..............] - ETA: 1:43 - batch_cost: 1.8741 - reader cost: 0.0053 71/125 [================>.............] - ETA: 1:41 - batch_cost: 1.8740 - reader cost: 0.0052 72/125 [================>.............] - ETA: 1:39 - batch_cost: 1.8737 - reader cost: 0.0052 73/125 [================>.............] - ETA: 1:37 - batch_cost: 1.8737 - reader cost: 0.0051 74/125 [================>.............] - ETA: 1:35 - batch_cost: 1.8736 - reader cost: 0.0050 75/125 [=================>............] - ETA: 1:33 - batch_cost: 1.8736 - reader cost: 0.0050 76/125 [=================>............] - ETA: 1:31 - batch_cost: 1.8737 - reader cost: 0.0049 77/125 [=================>............] - ETA: 1:29 - batch_cost: 1.8738 - reader cost: 0.0048 78/125 [=================>............] - ETA: 1:28 - batch_cost: 1.8741 - reader cost: 0.0048 79/125 [=================>............] - ETA: 1:26 - batch_cost: 1.8742 - reader cost: 0.0047 80/125 [==================>...........] - ETA: 1:24 - batch_cost: 1.8742 - reader cost: 0.0047 81/125 [==================>...........] - ETA: 1:22 - batch_cost: 1.8741 - reader cost: 0.0046 82/125 [==================>...........] - ETA: 1:20 - batch_cost: 1.8739 - reader cost: 0.0046 83/125 [==================>...........] - ETA: 1:18 - batch_cost: 1.8739 - reader cost: 0.0045 84/125 [===================>..........] - ETA: 1:16 - batch_cost: 1.8741 - reader cost: 0.0045 85/125 [===================>..........] - ETA: 1:14 - batch_cost: 1.8741 - reader cost: 0.0044 86/125 [===================>..........] - ETA: 1:13 - batch_cost: 1.8740 - reader cost: 0.0044 87/125 [===================>..........] - ETA: 1:11 - batch_cost: 1.8739 - reader cost: 0.0043 88/125 [====================>.........] - ETA: 1:09 - batch_cost: 1.8739 - reader cost: 0.0043 89/125 [====================>.........] - ETA: 1:07 - batch_cost: 1.8740 - reader cost: 0.0042 90/125 [====================>.........] - ETA: 1:05 - batch_cost: 1.8740 - reader cost: 0.0042 91/125 [====================>.........] - ETA: 1:03 - batch_cost: 1.8741 - reader cost: 0.0041 92/125 [=====================>........] - ETA: 1:01 - batch_cost: 1.8742 - reader cost: 0.0041 93/125 [=====================>........] - ETA: 59s - batch_cost: 1.8740 - reader cost: 0.0040  94/125 [=====================>........] - ETA: 58s - batch_cost: 1.8742 - reader cost: 0.0040 95/125 [=====================>........] - ETA: 56s - batch_cost: 1.8741 - reader cost: 0.0040 96/125 [======================>.......] - ETA: 54s - batch_cost: 1.8741 - reader cost: 0.0039 97/125 [======================>.......] - ETA: 52s - batch_cost: 1.8740 - reader cost: 0.0039 98/125 [======================>.......] - ETA: 50s - batch_cost: 1.8741 - reader cost: 0.0038 99/125 [======================>.......] - ETA: 48s - batch_cost: 1.8742 - reader cost: 0.0038 100/125 [=======================>......] - ETA: 46s - batch_cost: 1.8742 - reader cost: 0.0038 101/125 [=======================>......] - ETA: 44s - batch_cost: 1.8744 - reader cost: 0.0037 102/125 [=======================>......] - ETA: 43s - batch_cost: 1.8745 - reader cost: 0.0037 103/125 [=======================>......] - ETA: 41s - batch_cost: 1.8744 - reader cost: 0.0037 104/125 [=======================>......] - ETA: 39s - batch_cost: 1.8744 - reader cost: 0.0036 105/125 [========================>.....] - ETA: 37s - batch_cost: 1.8746 - reader cost: 0.0036 106/125 [========================>.....] - ETA: 35s - batch_cost: 1.8745 - reader cost: 0.0036 107/125 [========================>.....] - ETA: 33s - batch_cost: 1.8743 - reader cost: 0.0035 108/125 [========================>.....] - ETA: 31s - batch_cost: 1.8745 - reader cost: 0.0035 109/125 [=========================>....] - ETA: 29s - batch_cost: 1.8746 - reader cost: 0.0035 110/125 [=========================>....] - ETA: 28s - batch_cost: 1.8749 - reader cost: 0.0034 111/125 [=========================>....] - ETA: 26s - batch_cost: 1.8749 - reader cost: 0.0034 112/125 [=========================>....] - ETA: 24s - batch_cost: 1.8750 - reader cost: 0.0034 113/125 [==========================>...] - ETA: 22s - batch_cost: 1.8750 - reader cost: 0.0034 114/125 [==========================>...] - ETA: 20s - batch_cost: 1.8752 - reader cost: 0.0033 115/125 [==========================>...] - ETA: 18s - batch_cost: 1.8755 - reader cost: 0.0033 116/125 [==========================>...] - ETA: 16s - batch_cost: 1.8755 - reader cost: 0.0033 117/125 [===========================>..] - ETA: 15s - batch_cost: 1.8756 - reader cost: 0.0033 118/125 [===========================>..] - ETA: 13s - batch_cost: 1.8756 - reader cost: 0.0032 119/125 [===========================>..] - ETA: 11s - batch_cost: 1.8757 - reader cost: 0.0032 120/125 [===========================>..] - ETA: 9s - batch_cost: 1.8756 - reader cost: 0.0032  121/125 [============================>.] - ETA: 7s - batch_cost: 1.8756 - reader cost: 0.0031 122/125 [============================>.] - ETA: 5s - batch_cost: 1.8758 - reader cost: 0.0031 123/125 [============================>.] - ETA: 3s - batch_cost: 1.8755 - reader cost: 0.0031 124/125 [============================>.] - ETA: 1s - batch_cost: 1.8754 - reader cost: 0.0031 125/125 [==============================] - 234s 2s/step - batch_cost: 1.8752 - reader cost: 0.0031 2021-08-23 21:50:54 [INFO] [EVAL] #Images: 500 mIoU: 0.8239 Acc: 0.9674 Kappa: 0.9577 2021-08-23 21:50:54 [INFO] [EVAL] Class IoU: [0.9839 0.8695 0.9387 0.7017 0.6667 0.703 0.76 0.8272 0.9326 0.6602 0.9567 0.8495 0.676 0.959 0.8676 0.9088 0.8678 0.7238 0.8009] 2021-08-23 21:50:54 [INFO] [EVAL] Class Acc: [0.993 0.9227 0.9662 0.8973 0.8715 0.8423 0.8667 0.9167 0.9599 0.8432 0.9727 0.9087 0.8118 0.9757 0.9622 0.9484 0.9654 0.8656 0.8721] 2021-08-23 21:50:57 [INFO] [EVAL] The model with the best validation mIoU (0.8247) was saved at iter 152000. 's flops has been counted Cannot find suitable count function for . Treat it as zero FLOPs. 's flops has been counted 's flops has been counted Cannot find suitable count function for . Treat it as zero FLOPs. Cannot find suitable count function for . Treat it as zero FLOPs. Cannot find suitable count function for . Treat it as zero FLOPs. Cannot find suitable count function for . Treat it as zero FLOPs. Customize Function has been applied to Total Flops: -751566848 Total Params: 47238611 INFO 2021-08-23 21:51:42,159 launch.py:268] Local processes completed.