2022/08/08 15:30:20 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2022/08/08 15:30:22 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb by HardDiskBackend. 2022/08/08 15:42:47 - mmengine - INFO - Epoch(train) [1][20/1879] lr: 2.0000e-03 eta: 40 days, 11:38:24 time: 37.2395 data_time: 36.3207 memory: 19726 grad_norm: 2.3650 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9287 loss: 5.9287 2022/08/08 15:43:04 - mmengine - INFO - Epoch(train) [1][40/1879] lr: 2.0000e-03 eta: 20 days, 16:47:12 time: 0.8487 data_time: 0.0266 memory: 19726 grad_norm: 2.4137 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.8413 loss: 5.8413 2022/08/08 15:43:21 - mmengine - INFO - Epoch(train) [1][60/1879] lr: 2.0000e-03 eta: 14 days, 2:28:48 time: 0.8466 data_time: 0.0197 memory: 19726 grad_norm: 2.5344 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.7159 loss: 5.7159 2022/08/08 15:43:38 - mmengine - INFO - Epoch(train) [1][80/1879] lr: 2.0000e-03 eta: 10 days, 19:19:05 time: 0.8456 data_time: 0.0169 memory: 19726 grad_norm: 2.6478 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 5.4554 loss: 5.4554 2022/08/08 15:43:55 - mmengine - INFO - Epoch(train) [1][100/1879] lr: 2.0000e-03 eta: 8 days, 19:47:44 time: 0.8411 data_time: 0.0182 memory: 19726 grad_norm: 2.7541 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.1269 loss: 5.1269 2022/08/08 15:44:12 - mmengine - INFO - Epoch(train) [1][120/1879] lr: 2.0000e-03 eta: 7 days, 12:10:21 time: 0.8549 data_time: 0.0183 memory: 19726 grad_norm: 2.8911 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.9612 loss: 4.9612 2022/08/08 15:44:29 - mmengine - INFO - Epoch(train) [1][140/1879] lr: 2.0000e-03 eta: 6 days, 13:32:44 time: 0.8448 data_time: 0.0165 memory: 19726 grad_norm: 3.0207 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.7779 loss: 4.7779 2022/08/08 15:44:45 - mmengine - INFO - Epoch(train) [1][160/1879] lr: 2.0000e-03 eta: 5 days, 20:34:43 time: 0.8462 data_time: 0.0179 memory: 19726 grad_norm: 3.1197 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.6317 loss: 4.6317 2022/08/08 15:45:02 - mmengine - INFO - Epoch(train) [1][180/1879] lr: 2.0000e-03 eta: 5 days, 7:22:26 time: 0.8437 data_time: 0.0167 memory: 19726 grad_norm: 3.1773 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4535 loss: 4.4535 2022/08/08 15:45:20 - mmengine - INFO - Epoch(train) [1][200/1879] lr: 2.0000e-03 eta: 4 days, 20:51:10 time: 0.8604 data_time: 0.0186 memory: 19726 grad_norm: 3.2978 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.3607 loss: 4.3607 2022/08/08 15:45:36 - mmengine - INFO - Epoch(train) [1][220/1879] lr: 2.0000e-03 eta: 4 days, 12:12:53 time: 0.8482 data_time: 0.0173 memory: 19726 grad_norm: 3.3700 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.2380 loss: 4.2380 2022/08/08 15:45:54 - mmengine - INFO - Epoch(train) [1][240/1879] lr: 2.0000e-03 eta: 4 days, 5:01:23 time: 0.8517 data_time: 0.0182 memory: 19726 grad_norm: 3.4624 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.1480 loss: 4.1480 2022/08/08 15:46:10 - mmengine - INFO - Epoch(train) [1][260/1879] lr: 2.0000e-03 eta: 3 days, 22:55:44 time: 0.8476 data_time: 0.0179 memory: 19726 grad_norm: 3.5585 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 4.1136 loss: 4.1136 2022/08/08 15:46:27 - mmengine - INFO - Epoch(train) [1][280/1879] lr: 2.0000e-03 eta: 3 days, 17:42:11 time: 0.8466 data_time: 0.0169 memory: 19726 grad_norm: 3.6529 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 4.0152 loss: 4.0152 2022/08/08 15:46:44 - mmengine - INFO - Epoch(train) [1][300/1879] lr: 2.0000e-03 eta: 3 days, 13:10:36 time: 0.8486 data_time: 0.0176 memory: 19726 grad_norm: 3.7168 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.8572 loss: 3.8572 2022/08/08 15:47:01 - mmengine - INFO - Epoch(train) [1][320/1879] lr: 2.0000e-03 eta: 3 days, 9:12:51 time: 0.8478 data_time: 0.0189 memory: 19726 grad_norm: 3.8435 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 3.8098 loss: 3.8098 2022/08/08 15:47:18 - mmengine - INFO - Epoch(train) [1][340/1879] lr: 2.0000e-03 eta: 3 days, 5:42:38 time: 0.8433 data_time: 0.0175 memory: 19726 grad_norm: 3.9549 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 3.8138 loss: 3.8138 2022/08/08 15:47:35 - mmengine - INFO - Epoch(train) [1][360/1879] lr: 2.0000e-03 eta: 3 days, 2:36:01 time: 0.8466 data_time: 0.0170 memory: 19726 grad_norm: 3.9665 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.6493 loss: 3.6493 2022/08/08 15:47:52 - mmengine - INFO - Epoch(train) [1][380/1879] lr: 2.0000e-03 eta: 2 days, 23:50:17 time: 0.8620 data_time: 0.0305 memory: 19726 grad_norm: 4.0117 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.5392 loss: 3.5392 2022/08/08 15:48:09 - mmengine - INFO - Epoch(train) [1][400/1879] lr: 2.0000e-03 eta: 2 days, 21:20:09 time: 0.8499 data_time: 0.0180 memory: 19726 grad_norm: 4.1130 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.5164 loss: 3.5164 2022/08/08 15:48:26 - mmengine - INFO - Epoch(train) [1][420/1879] lr: 2.0000e-03 eta: 2 days, 19:04:13 time: 0.8490 data_time: 0.0177 memory: 19726 grad_norm: 4.1310 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.6528 loss: 3.6528 2022/08/08 15:48:43 - mmengine - INFO - Epoch(train) [1][440/1879] lr: 2.0000e-03 eta: 2 days, 17:00:15 time: 0.8436 data_time: 0.0169 memory: 19726 grad_norm: 4.2168 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.5465 loss: 3.5465 2022/08/08 15:49:00 - mmengine - INFO - Epoch(train) [1][460/1879] lr: 2.0000e-03 eta: 2 days, 15:07:21 time: 0.8485 data_time: 0.0177 memory: 19726 grad_norm: 4.2904 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.5925 loss: 3.5925 2022/08/08 15:49:17 - mmengine - INFO - Epoch(train) [1][480/1879] lr: 2.0000e-03 eta: 2 days, 13:23:57 time: 0.8502 data_time: 0.0183 memory: 19726 grad_norm: 4.2907 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5267 loss: 3.5267 2022/08/08 15:49:34 - mmengine - INFO - Epoch(train) [1][500/1879] lr: 2.0000e-03 eta: 2 days, 11:48:22 time: 0.8430 data_time: 0.0165 memory: 19726 grad_norm: 4.2974 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 3.3023 loss: 3.3023 2022/08/08 15:49:51 - mmengine - INFO - Epoch(train) [1][520/1879] lr: 2.0000e-03 eta: 2 days, 10:20:18 time: 0.8464 data_time: 0.0179 memory: 19726 grad_norm: 4.3551 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.3629 loss: 3.3629 2022/08/08 15:50:08 - mmengine - INFO - Epoch(train) [1][540/1879] lr: 2.0000e-03 eta: 2 days, 8:59:08 time: 0.8532 data_time: 0.0181 memory: 19726 grad_norm: 4.3597 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 3.3653 loss: 3.3653 2022/08/08 15:51:18 - mmengine - INFO - Epoch(train) [1][560/1879] lr: 2.0000e-03 eta: 2 days, 10:09:43 time: 3.4793 data_time: 2.5885 memory: 19726 grad_norm: 4.3914 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.4431 loss: 3.4431 2022/08/08 15:51:35 - mmengine - INFO - Epoch(train) [1][580/1879] lr: 2.0000e-03 eta: 2 days, 8:55:41 time: 0.8762 data_time: 0.0244 memory: 19726 grad_norm: 4.5052 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.2826 loss: 3.2826 2022/08/08 15:51:52 - mmengine - INFO - Epoch(train) [1][600/1879] lr: 2.0000e-03 eta: 2 days, 7:45:04 time: 0.8474 data_time: 0.0174 memory: 19726 grad_norm: 4.6221 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.4022 loss: 3.4022 2022/08/08 15:52:09 - mmengine - INFO - Epoch(train) [1][620/1879] lr: 2.0000e-03 eta: 2 days, 6:39:02 time: 0.8482 data_time: 0.0173 memory: 19726 grad_norm: 4.5542 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.3467 loss: 3.3467 2022/08/08 15:52:26 - mmengine - INFO - Epoch(train) [1][640/1879] lr: 2.0000e-03 eta: 2 days, 5:36:52 time: 0.8436 data_time: 0.0174 memory: 19726 grad_norm: 4.6351 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.3698 loss: 3.3698 2022/08/08 15:52:43 - mmengine - INFO - Epoch(train) [1][660/1879] lr: 2.0000e-03 eta: 2 days, 4:38:19 time: 0.8403 data_time: 0.0163 memory: 19726 grad_norm: 4.6416 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.0494 loss: 3.0494 2022/08/08 15:53:00 - mmengine - INFO - Epoch(train) [1][680/1879] lr: 2.0000e-03 eta: 2 days, 3:43:29 time: 0.8467 data_time: 0.0177 memory: 19726 grad_norm: 4.6906 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2003 loss: 3.2003 2022/08/08 15:53:17 - mmengine - INFO - Epoch(train) [1][700/1879] lr: 2.0000e-03 eta: 2 days, 2:51:49 time: 0.8480 data_time: 0.0175 memory: 19726 grad_norm: 4.7814 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 3.1070 loss: 3.1070 2022/08/08 15:53:34 - mmengine - INFO - Epoch(train) [1][720/1879] lr: 2.0000e-03 eta: 2 days, 2:02:53 time: 0.8451 data_time: 0.0175 memory: 19726 grad_norm: 4.7563 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.0072 loss: 3.0072 2022/08/08 15:53:50 - mmengine - INFO - Epoch(train) [1][740/1879] lr: 2.0000e-03 eta: 2 days, 1:16:36 time: 0.8454 data_time: 0.0170 memory: 19726 grad_norm: 4.7484 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.1199 loss: 3.1199 2022/08/08 15:54:08 - mmengine - INFO - Epoch(train) [1][760/1879] lr: 2.0000e-03 eta: 2 days, 0:33:00 time: 0.8521 data_time: 0.0181 memory: 19726 grad_norm: 4.8097 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 3.1097 loss: 3.1097 2022/08/08 15:54:24 - mmengine - INFO - Epoch(train) [1][780/1879] lr: 2.0000e-03 eta: 1 day, 23:51:21 time: 0.8452 data_time: 0.0179 memory: 19726 grad_norm: 4.8616 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0779 loss: 3.0779 2022/08/08 15:54:41 - mmengine - INFO - Epoch(train) [1][800/1879] lr: 2.0000e-03 eta: 1 day, 23:11:47 time: 0.8453 data_time: 0.0172 memory: 19726 grad_norm: 4.8764 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.0215 loss: 3.0215 2022/08/08 15:54:58 - mmengine - INFO - Epoch(train) [1][820/1879] lr: 2.0000e-03 eta: 1 day, 22:34:19 time: 0.8507 data_time: 0.0185 memory: 19726 grad_norm: 5.0039 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.9878 loss: 2.9878 2022/08/08 15:55:16 - mmengine - INFO - Epoch(train) [1][840/1879] lr: 2.0000e-03 eta: 1 day, 21:59:40 time: 0.8784 data_time: 0.0226 memory: 19726 grad_norm: 4.9174 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.9464 loss: 2.9464 2022/08/08 15:55:33 - mmengine - INFO - Epoch(train) [1][860/1879] lr: 2.0000e-03 eta: 1 day, 21:25:50 time: 0.8572 data_time: 0.0276 memory: 19726 grad_norm: 5.0187 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.1192 loss: 3.1192 2022/08/08 15:55:50 - mmengine - INFO - Epoch(train) [1][880/1879] lr: 2.0000e-03 eta: 1 day, 20:53:18 time: 0.8509 data_time: 0.0176 memory: 19726 grad_norm: 5.0270 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.9910 loss: 2.9910 2022/08/08 15:56:07 - mmengine - INFO - Epoch(train) [1][900/1879] lr: 2.0000e-03 eta: 1 day, 20:22:08 time: 0.8486 data_time: 0.0180 memory: 19726 grad_norm: 5.0640 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8032 loss: 2.8032 2022/08/08 15:56:24 - mmengine - INFO - Epoch(train) [1][920/1879] lr: 2.0000e-03 eta: 1 day, 19:52:07 time: 0.8432 data_time: 0.0172 memory: 19726 grad_norm: 5.1533 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.8891 loss: 2.8891 2022/08/08 15:56:41 - mmengine - INFO - Epoch(train) [1][940/1879] lr: 2.0000e-03 eta: 1 day, 19:23:40 time: 0.8518 data_time: 0.0176 memory: 19726 grad_norm: 5.1670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.7092 loss: 2.7092 2022/08/08 15:56:58 - mmengine - INFO - Epoch(train) [1][960/1879] lr: 2.0000e-03 eta: 1 day, 18:56:19 time: 0.8498 data_time: 0.0196 memory: 19726 grad_norm: 5.1884 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 3.0348 loss: 3.0348 2022/08/08 15:57:15 - mmengine - INFO - Epoch(train) [1][980/1879] lr: 2.0000e-03 eta: 1 day, 18:29:49 time: 0.8422 data_time: 0.0173 memory: 19726 grad_norm: 5.2323 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9728 loss: 2.9728 2022/08/08 15:57:32 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 15:57:32 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 2.0000e-03 eta: 1 day, 18:04:26 time: 0.8437 data_time: 0.0172 memory: 19726 grad_norm: 5.1777 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.9546 loss: 2.9546 2022/08/08 15:57:49 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 2.0000e-03 eta: 1 day, 17:40:42 time: 0.8660 data_time: 0.0266 memory: 19726 grad_norm: 5.2388 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 3.0731 loss: 3.0731 2022/08/08 15:58:06 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 2.0000e-03 eta: 1 day, 17:17:11 time: 0.8429 data_time: 0.0177 memory: 19726 grad_norm: 5.3441 top1_acc: 0.2500 top5_acc: 0.9375 loss_cls: 2.7649 loss: 2.7649 2022/08/08 15:58:23 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 2.0000e-03 eta: 1 day, 16:54:46 time: 0.8507 data_time: 0.0177 memory: 19726 grad_norm: 5.3297 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9757 loss: 2.9757 2022/08/08 15:58:40 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 2.0000e-03 eta: 1 day, 16:33:09 time: 0.8497 data_time: 0.0181 memory: 19726 grad_norm: 5.1972 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6639 loss: 2.6639 2022/08/08 15:58:57 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 2.0000e-03 eta: 1 day, 16:12:08 time: 0.8437 data_time: 0.0179 memory: 19726 grad_norm: 5.4548 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6918 loss: 2.6918 2022/08/08 15:59:14 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 2.0000e-03 eta: 1 day, 15:51:57 time: 0.8469 data_time: 0.0173 memory: 19726 grad_norm: 5.4273 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 3.0550 loss: 3.0550 2022/08/08 15:59:31 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 2.0000e-03 eta: 1 day, 15:32:31 time: 0.8489 data_time: 0.0173 memory: 19726 grad_norm: 5.3556 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.8413 loss: 2.8413 2022/08/08 15:59:48 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 2.0000e-03 eta: 1 day, 15:13:42 time: 0.8472 data_time: 0.0189 memory: 19726 grad_norm: 5.2945 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9160 loss: 2.9160 2022/08/08 16:00:04 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 2.0000e-03 eta: 1 day, 14:55:27 time: 0.8452 data_time: 0.0177 memory: 19726 grad_norm: 5.4321 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6926 loss: 2.6926 2022/08/08 16:00:22 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 2.0000e-03 eta: 1 day, 14:38:19 time: 0.8649 data_time: 0.0196 memory: 19726 grad_norm: 5.4913 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 2.7826 loss: 2.7826 2022/08/08 16:00:39 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 2.0000e-03 eta: 1 day, 14:21:21 time: 0.8501 data_time: 0.0179 memory: 19726 grad_norm: 5.5063 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.6276 loss: 2.6276 2022/08/08 16:00:56 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 2.0000e-03 eta: 1 day, 14:04:56 time: 0.8501 data_time: 0.0177 memory: 19726 grad_norm: 5.3871 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.5102 loss: 2.5102 2022/08/08 16:01:13 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 2.0000e-03 eta: 1 day, 13:48:56 time: 0.8466 data_time: 0.0182 memory: 19726 grad_norm: 5.4716 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6720 loss: 2.6720 2022/08/08 16:01:30 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 2.0000e-03 eta: 1 day, 13:33:35 time: 0.8525 data_time: 0.0187 memory: 19726 grad_norm: 5.4772 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.8752 loss: 2.8752 2022/08/08 16:01:47 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 2.0000e-03 eta: 1 day, 13:18:41 time: 0.8528 data_time: 0.0187 memory: 19726 grad_norm: 5.4899 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7078 loss: 2.7078 2022/08/08 16:02:04 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 2.0000e-03 eta: 1 day, 13:04:05 time: 0.8460 data_time: 0.0173 memory: 19726 grad_norm: 5.6192 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7958 loss: 2.7958 2022/08/08 16:02:21 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 2.0000e-03 eta: 1 day, 12:50:00 time: 0.8502 data_time: 0.0172 memory: 19726 grad_norm: 5.5722 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7919 loss: 2.7919 2022/08/08 16:02:38 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 2.0000e-03 eta: 1 day, 12:36:22 time: 0.8524 data_time: 0.0178 memory: 19726 grad_norm: 5.6600 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.7954 loss: 2.7954 2022/08/08 16:02:55 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 2.0000e-03 eta: 1 day, 12:23:00 time: 0.8461 data_time: 0.0181 memory: 19726 grad_norm: 5.6160 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5989 loss: 2.5989 2022/08/08 16:03:12 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 2.0000e-03 eta: 1 day, 12:10:10 time: 0.8540 data_time: 0.0179 memory: 19726 grad_norm: 5.6773 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5888 loss: 2.5888 2022/08/08 16:03:29 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 2.0000e-03 eta: 1 day, 11:57:33 time: 0.8482 data_time: 0.0187 memory: 19726 grad_norm: 5.5898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6112 loss: 2.6112 2022/08/08 16:03:46 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 2.0000e-03 eta: 1 day, 11:45:12 time: 0.8442 data_time: 0.0170 memory: 19726 grad_norm: 5.5717 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.5811 loss: 2.5811 2022/08/08 16:04:03 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 2.0000e-03 eta: 1 day, 11:33:20 time: 0.8507 data_time: 0.0179 memory: 19726 grad_norm: 5.7406 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8598 loss: 2.8598 2022/08/08 16:04:20 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 2.0000e-03 eta: 1 day, 11:21:41 time: 0.8469 data_time: 0.0185 memory: 19726 grad_norm: 5.6164 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8139 loss: 2.8139 2022/08/08 16:04:36 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 2.0000e-03 eta: 1 day, 11:10:18 time: 0.8448 data_time: 0.0185 memory: 19726 grad_norm: 5.6363 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6554 loss: 2.6554 2022/08/08 16:04:53 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 2.0000e-03 eta: 1 day, 10:59:16 time: 0.8476 data_time: 0.0177 memory: 19726 grad_norm: 5.5870 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6367 loss: 2.6367 2022/08/08 16:05:11 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 2.0000e-03 eta: 1 day, 10:48:54 time: 0.8672 data_time: 0.0193 memory: 19726 grad_norm: 5.6307 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8090 loss: 2.8090 2022/08/08 16:05:28 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 2.0000e-03 eta: 1 day, 10:38:28 time: 0.8509 data_time: 0.0196 memory: 19726 grad_norm: 5.7274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6467 loss: 2.6467 2022/08/08 16:05:45 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 2.0000e-03 eta: 1 day, 10:28:09 time: 0.8433 data_time: 0.0171 memory: 19726 grad_norm: 5.7431 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6120 loss: 2.6120 2022/08/08 16:06:02 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 2.0000e-03 eta: 1 day, 10:18:05 time: 0.8440 data_time: 0.0178 memory: 19726 grad_norm: 5.6410 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4892 loss: 2.4892 2022/08/08 16:06:19 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 2.0000e-03 eta: 1 day, 10:08:28 time: 0.8543 data_time: 0.0180 memory: 19726 grad_norm: 5.6775 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.5990 loss: 2.5990 2022/08/08 16:06:36 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 2.0000e-03 eta: 1 day, 9:59:00 time: 0.8503 data_time: 0.0196 memory: 19726 grad_norm: 5.8807 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.5993 loss: 2.5993 2022/08/08 16:06:53 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 2.0000e-03 eta: 1 day, 9:49:40 time: 0.8451 data_time: 0.0172 memory: 19726 grad_norm: 5.8816 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.7242 loss: 2.7242 2022/08/08 16:07:10 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 2.0000e-03 eta: 1 day, 9:40:41 time: 0.8533 data_time: 0.0176 memory: 19726 grad_norm: 5.7428 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3861 loss: 2.3861 2022/08/08 16:07:26 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 2.0000e-03 eta: 1 day, 9:31:44 time: 0.8437 data_time: 0.0167 memory: 19726 grad_norm: 5.9298 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.6916 loss: 2.6916 2022/08/08 16:07:43 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 2.0000e-03 eta: 1 day, 9:22:59 time: 0.8429 data_time: 0.0173 memory: 19726 grad_norm: 5.7369 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5060 loss: 2.5060 2022/08/08 16:08:01 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 2.0000e-03 eta: 1 day, 9:14:54 time: 0.8701 data_time: 0.0394 memory: 19726 grad_norm: 5.7787 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.6118 loss: 2.6118 2022/08/08 16:08:18 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 2.0000e-03 eta: 1 day, 9:06:32 time: 0.8438 data_time: 0.0171 memory: 19726 grad_norm: 5.9058 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.6675 loss: 2.6675 2022/08/08 16:08:35 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 2.0000e-03 eta: 1 day, 8:58:38 time: 0.8602 data_time: 0.0222 memory: 19726 grad_norm: 5.8784 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.7407 loss: 2.7407 2022/08/08 16:08:52 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 2.0000e-03 eta: 1 day, 8:50:38 time: 0.8445 data_time: 0.0180 memory: 19726 grad_norm: 5.9074 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4631 loss: 2.4631 2022/08/08 16:09:09 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 2.0000e-03 eta: 1 day, 8:42:49 time: 0.8453 data_time: 0.0180 memory: 19726 grad_norm: 5.8557 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.6153 loss: 2.6153 2022/08/08 16:09:25 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 2.0000e-03 eta: 1 day, 8:35:07 time: 0.8425 data_time: 0.0171 memory: 19726 grad_norm: 5.9173 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8008 loss: 2.8008 2022/08/08 16:09:42 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 2.0000e-03 eta: 1 day, 8:27:42 time: 0.8496 data_time: 0.0191 memory: 19726 grad_norm: 5.9151 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.7327 loss: 2.7327 2022/08/08 16:09:58 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 16:09:58 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 2.0000e-03 eta: 1 day, 8:27:42 time: 0.8216 data_time: 0.0176 memory: 19726 grad_norm: 6.0425 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.4840 loss: 2.4840 2022/08/08 16:22:09 - mmengine - INFO - Epoch(val) [1][20/155] eta: 1:22:12 time: 36.5404 data_time: 36.2882 memory: 2699 2022/08/08 16:22:18 - mmengine - INFO - Epoch(val) [1][40/155] eta: 0:00:52 time: 0.4538 data_time: 0.2176 memory: 2699 2022/08/08 16:22:30 - mmengine - INFO - Epoch(val) [1][60/155] eta: 0:00:56 time: 0.5899 data_time: 0.3547 memory: 2699 2022/08/08 16:22:39 - mmengine - INFO - Epoch(val) [1][80/155] eta: 0:00:34 time: 0.4584 data_time: 0.2189 memory: 2699 2022/08/08 16:22:50 - mmengine - INFO - Epoch(val) [1][100/155] eta: 0:00:31 time: 0.5679 data_time: 0.3312 memory: 2699 2022/08/08 16:23:00 - mmengine - INFO - Epoch(val) [1][120/155] eta: 0:00:16 time: 0.4658 data_time: 0.2308 memory: 2699 2022/08/08 16:23:11 - mmengine - INFO - Epoch(val) [1][140/155] eta: 0:00:08 time: 0.5814 data_time: 0.3453 memory: 2699 2022/08/08 16:23:29 - mmengine - INFO - Epoch(val) [1][155/155] acc/top1: 0.4536 acc/top5: 0.7303 acc/mean1: 0.4531 2022/08/08 16:23:31 - mmengine - INFO - The best checkpoint with 0.4536 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/08 16:23:53 - mmengine - INFO - Epoch(train) [2][20/1879] lr: 6.5000e-03 eta: 1 day, 8:04:48 time: 1.1087 data_time: 0.2766 memory: 19726 grad_norm: 6.2413 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.8965 loss: 2.8965 2022/08/08 16:24:10 - mmengine - INFO - Epoch(train) [2][40/1879] lr: 6.5000e-03 eta: 1 day, 7:57:44 time: 0.8382 data_time: 0.0167 memory: 19726 grad_norm: 6.1861 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.7482 loss: 2.7482 2022/08/08 16:24:27 - mmengine - INFO - Epoch(train) [2][60/1879] lr: 6.5000e-03 eta: 1 day, 7:50:51 time: 0.8415 data_time: 0.0170 memory: 19726 grad_norm: 6.2467 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8649 loss: 2.8649 2022/08/08 16:24:44 - mmengine - INFO - Epoch(train) [2][80/1879] lr: 6.5000e-03 eta: 1 day, 7:44:09 time: 0.8444 data_time: 0.0168 memory: 19726 grad_norm: 6.2182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7456 loss: 2.7456 2022/08/08 16:25:01 - mmengine - INFO - Epoch(train) [2][100/1879] lr: 6.5000e-03 eta: 1 day, 7:37:39 time: 0.8494 data_time: 0.0184 memory: 19726 grad_norm: 6.2100 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.1458 loss: 3.1458 2022/08/08 16:25:18 - mmengine - INFO - Epoch(train) [2][120/1879] lr: 6.5000e-03 eta: 1 day, 7:31:12 time: 0.8437 data_time: 0.0172 memory: 19726 grad_norm: 6.2179 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.7213 loss: 2.7213 2022/08/08 16:25:19 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 16:25:35 - mmengine - INFO - Epoch(train) [2][140/1879] lr: 6.5000e-03 eta: 1 day, 7:25:00 time: 0.8534 data_time: 0.0165 memory: 19726 grad_norm: 6.3132 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8559 loss: 2.8559 2022/08/08 16:25:52 - mmengine - INFO - Epoch(train) [2][160/1879] lr: 6.5000e-03 eta: 1 day, 7:18:50 time: 0.8466 data_time: 0.0173 memory: 19726 grad_norm: 6.0750 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8003 loss: 2.8003 2022/08/08 16:26:09 - mmengine - INFO - Epoch(train) [2][180/1879] lr: 6.5000e-03 eta: 1 day, 7:12:44 time: 0.8440 data_time: 0.0173 memory: 19726 grad_norm: 6.1031 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6767 loss: 2.6767 2022/08/08 16:26:26 - mmengine - INFO - Epoch(train) [2][200/1879] lr: 6.5000e-03 eta: 1 day, 7:06:51 time: 0.8518 data_time: 0.0169 memory: 19726 grad_norm: 6.1086 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.8777 loss: 2.8777 2022/08/08 16:26:42 - mmengine - INFO - Epoch(train) [2][220/1879] lr: 6.5000e-03 eta: 1 day, 7:01:01 time: 0.8471 data_time: 0.0175 memory: 19726 grad_norm: 6.1158 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5939 loss: 2.5939 2022/08/08 16:26:59 - mmengine - INFO - Epoch(train) [2][240/1879] lr: 6.5000e-03 eta: 1 day, 6:55:17 time: 0.8461 data_time: 0.0186 memory: 19726 grad_norm: 6.2488 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6734 loss: 2.6734 2022/08/08 16:27:16 - mmengine - INFO - Epoch(train) [2][260/1879] lr: 6.5000e-03 eta: 1 day, 6:49:43 time: 0.8512 data_time: 0.0178 memory: 19726 grad_norm: 6.0801 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.7600 loss: 2.7600 2022/08/08 16:27:33 - mmengine - INFO - Epoch(train) [2][280/1879] lr: 6.5000e-03 eta: 1 day, 6:44:11 time: 0.8478 data_time: 0.0169 memory: 19726 grad_norm: 6.1394 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.6404 loss: 2.6404 2022/08/08 16:27:50 - mmengine - INFO - Epoch(train) [2][300/1879] lr: 6.5000e-03 eta: 1 day, 6:38:52 time: 0.8546 data_time: 0.0246 memory: 19726 grad_norm: 6.1785 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5142 loss: 2.5142 2022/08/08 16:28:07 - mmengine - INFO - Epoch(train) [2][320/1879] lr: 6.5000e-03 eta: 1 day, 6:33:29 time: 0.8444 data_time: 0.0172 memory: 19726 grad_norm: 6.1877 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9243 loss: 2.9243 2022/08/08 16:28:24 - mmengine - INFO - Epoch(train) [2][340/1879] lr: 6.5000e-03 eta: 1 day, 6:28:17 time: 0.8503 data_time: 0.0180 memory: 19726 grad_norm: 6.0202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6420 loss: 2.6420 2022/08/08 16:28:41 - mmengine - INFO - Epoch(train) [2][360/1879] lr: 6.5000e-03 eta: 1 day, 6:23:03 time: 0.8422 data_time: 0.0187 memory: 19726 grad_norm: 6.1127 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5675 loss: 2.5675 2022/08/08 16:28:58 - mmengine - INFO - Epoch(train) [2][380/1879] lr: 6.5000e-03 eta: 1 day, 6:17:58 time: 0.8461 data_time: 0.0178 memory: 19726 grad_norm: 6.1716 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6191 loss: 2.6191 2022/08/08 16:29:15 - mmengine - INFO - Epoch(train) [2][400/1879] lr: 6.5000e-03 eta: 1 day, 6:12:57 time: 0.8454 data_time: 0.0173 memory: 19726 grad_norm: 6.2864 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 2.5440 loss: 2.5440 2022/08/08 16:29:32 - mmengine - INFO - Epoch(train) [2][420/1879] lr: 6.5000e-03 eta: 1 day, 6:08:01 time: 0.8444 data_time: 0.0174 memory: 19726 grad_norm: 6.3037 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6733 loss: 2.6733 2022/08/08 16:29:49 - mmengine - INFO - Epoch(train) [2][440/1879] lr: 6.5000e-03 eta: 1 day, 6:03:06 time: 0.8412 data_time: 0.0170 memory: 19726 grad_norm: 6.1397 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.7049 loss: 2.7049 2022/08/08 16:30:06 - mmengine - INFO - Epoch(train) [2][460/1879] lr: 6.5000e-03 eta: 1 day, 5:58:17 time: 0.8413 data_time: 0.0177 memory: 19726 grad_norm: 6.0530 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.4578 loss: 2.4578 2022/08/08 16:30:23 - mmengine - INFO - Epoch(train) [2][480/1879] lr: 6.5000e-03 eta: 1 day, 5:53:53 time: 0.8690 data_time: 0.0222 memory: 19726 grad_norm: 6.2145 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5318 loss: 2.5318 2022/08/08 16:30:40 - mmengine - INFO - Epoch(train) [2][500/1879] lr: 6.5000e-03 eta: 1 day, 5:49:16 time: 0.8455 data_time: 0.0212 memory: 19726 grad_norm: 6.2902 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8253 loss: 2.8253 2022/08/08 16:30:57 - mmengine - INFO - Epoch(train) [2][520/1879] lr: 6.5000e-03 eta: 1 day, 5:45:01 time: 0.8681 data_time: 0.0337 memory: 19726 grad_norm: 6.1874 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6739 loss: 2.6739 2022/08/08 16:31:14 - mmengine - INFO - Epoch(train) [2][540/1879] lr: 6.5000e-03 eta: 1 day, 5:40:32 time: 0.8454 data_time: 0.0170 memory: 19726 grad_norm: 6.1462 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6890 loss: 2.6890 2022/08/08 16:31:31 - mmengine - INFO - Epoch(train) [2][560/1879] lr: 6.5000e-03 eta: 1 day, 5:36:08 time: 0.8470 data_time: 0.0163 memory: 19726 grad_norm: 6.0559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5765 loss: 2.5765 2022/08/08 16:31:48 - mmengine - INFO - Epoch(train) [2][580/1879] lr: 6.5000e-03 eta: 1 day, 5:31:47 time: 0.8448 data_time: 0.0177 memory: 19726 grad_norm: 6.3208 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.6161 loss: 2.6161 2022/08/08 16:32:05 - mmengine - INFO - Epoch(train) [2][600/1879] lr: 6.5000e-03 eta: 1 day, 5:27:30 time: 0.8448 data_time: 0.0175 memory: 19726 grad_norm: 6.1200 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4283 loss: 2.4283 2022/08/08 16:32:22 - mmengine - INFO - Epoch(train) [2][620/1879] lr: 6.5000e-03 eta: 1 day, 5:23:20 time: 0.8506 data_time: 0.0179 memory: 19726 grad_norm: 6.3232 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4928 loss: 2.4928 2022/08/08 16:32:39 - mmengine - INFO - Epoch(train) [2][640/1879] lr: 6.5000e-03 eta: 1 day, 5:19:15 time: 0.8504 data_time: 0.0180 memory: 19726 grad_norm: 6.2405 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5844 loss: 2.5844 2022/08/08 16:32:56 - mmengine - INFO - Epoch(train) [2][660/1879] lr: 6.5000e-03 eta: 1 day, 5:15:08 time: 0.8437 data_time: 0.0176 memory: 19726 grad_norm: 6.1724 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4280 loss: 2.4280 2022/08/08 16:33:13 - mmengine - INFO - Epoch(train) [2][680/1879] lr: 6.5000e-03 eta: 1 day, 5:11:09 time: 0.8495 data_time: 0.0174 memory: 19726 grad_norm: 6.0270 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.6507 loss: 2.6507 2022/08/08 16:33:30 - mmengine - INFO - Epoch(train) [2][700/1879] lr: 6.5000e-03 eta: 1 day, 5:07:14 time: 0.8514 data_time: 0.0174 memory: 19726 grad_norm: 6.1972 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5397 loss: 2.5397 2022/08/08 16:33:47 - mmengine - INFO - Epoch(train) [2][720/1879] lr: 6.5000e-03 eta: 1 day, 5:03:23 time: 0.8516 data_time: 0.0249 memory: 19726 grad_norm: 6.1662 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4380 loss: 2.4380 2022/08/08 16:34:04 - mmengine - INFO - Epoch(train) [2][740/1879] lr: 6.5000e-03 eta: 1 day, 4:59:39 time: 0.8567 data_time: 0.0238 memory: 19726 grad_norm: 6.2895 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7180 loss: 2.7180 2022/08/08 16:34:21 - mmengine - INFO - Epoch(train) [2][760/1879] lr: 6.5000e-03 eta: 1 day, 4:55:53 time: 0.8487 data_time: 0.0184 memory: 19726 grad_norm: 6.0302 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4900 loss: 2.4900 2022/08/08 16:34:38 - mmengine - INFO - Epoch(train) [2][780/1879] lr: 6.5000e-03 eta: 1 day, 4:52:14 time: 0.8544 data_time: 0.0191 memory: 19726 grad_norm: 6.0742 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5715 loss: 2.5715 2022/08/08 16:34:55 - mmengine - INFO - Epoch(train) [2][800/1879] lr: 6.5000e-03 eta: 1 day, 4:48:33 time: 0.8483 data_time: 0.0176 memory: 19726 grad_norm: 6.1410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6288 loss: 2.6288 2022/08/08 16:35:12 - mmengine - INFO - Epoch(train) [2][820/1879] lr: 6.5000e-03 eta: 1 day, 4:45:02 time: 0.8575 data_time: 0.0172 memory: 19726 grad_norm: 6.0362 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4636 loss: 2.4636 2022/08/08 16:35:29 - mmengine - INFO - Epoch(train) [2][840/1879] lr: 6.5000e-03 eta: 1 day, 4:41:27 time: 0.8479 data_time: 0.0152 memory: 19726 grad_norm: 6.1307 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5904 loss: 2.5904 2022/08/08 16:35:46 - mmengine - INFO - Epoch(train) [2][860/1879] lr: 6.5000e-03 eta: 1 day, 4:37:55 time: 0.8474 data_time: 0.0178 memory: 19726 grad_norm: 6.1907 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4736 loss: 2.4736 2022/08/08 16:36:03 - mmengine - INFO - Epoch(train) [2][880/1879] lr: 6.5000e-03 eta: 1 day, 4:34:25 time: 0.8469 data_time: 0.0178 memory: 19726 grad_norm: 6.3145 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5220 loss: 2.5220 2022/08/08 16:36:20 - mmengine - INFO - Epoch(train) [2][900/1879] lr: 6.5000e-03 eta: 1 day, 4:31:00 time: 0.8509 data_time: 0.0188 memory: 19726 grad_norm: 6.0566 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5585 loss: 2.5585 2022/08/08 16:36:37 - mmengine - INFO - Epoch(train) [2][920/1879] lr: 6.5000e-03 eta: 1 day, 4:27:40 time: 0.8532 data_time: 0.0240 memory: 19726 grad_norm: 6.2198 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4857 loss: 2.4857 2022/08/08 16:36:54 - mmengine - INFO - Epoch(train) [2][940/1879] lr: 6.5000e-03 eta: 1 day, 4:24:21 time: 0.8503 data_time: 0.0182 memory: 19726 grad_norm: 6.0373 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3591 loss: 2.3591 2022/08/08 16:37:11 - mmengine - INFO - Epoch(train) [2][960/1879] lr: 6.5000e-03 eta: 1 day, 4:21:03 time: 0.8484 data_time: 0.0176 memory: 19726 grad_norm: 6.2024 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.7603 loss: 2.7603 2022/08/08 16:37:28 - mmengine - INFO - Epoch(train) [2][980/1879] lr: 6.5000e-03 eta: 1 day, 4:17:46 time: 0.8468 data_time: 0.0184 memory: 19726 grad_norm: 6.2405 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4818 loss: 2.4818 2022/08/08 16:37:45 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 6.5000e-03 eta: 1 day, 4:14:36 time: 0.8526 data_time: 0.0177 memory: 19726 grad_norm: 6.2147 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 2.3318 loss: 2.3318 2022/08/08 16:38:02 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 6.5000e-03 eta: 1 day, 4:11:32 time: 0.8594 data_time: 0.0257 memory: 19726 grad_norm: 6.1716 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5086 loss: 2.5086 2022/08/08 16:38:19 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 6.5000e-03 eta: 1 day, 4:08:26 time: 0.8519 data_time: 0.0175 memory: 19726 grad_norm: 6.2551 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4471 loss: 2.4471 2022/08/08 16:38:36 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 6.5000e-03 eta: 1 day, 4:05:20 time: 0.8492 data_time: 0.0180 memory: 19726 grad_norm: 6.2511 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4487 loss: 2.4487 2022/08/08 16:38:53 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 6.5000e-03 eta: 1 day, 4:02:14 time: 0.8448 data_time: 0.0174 memory: 19726 grad_norm: 6.0790 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2484 loss: 2.2484 2022/08/08 16:39:10 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 6.5000e-03 eta: 1 day, 3:59:13 time: 0.8484 data_time: 0.0178 memory: 19726 grad_norm: 6.2633 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4439 loss: 2.4439 2022/08/08 16:39:27 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 6.5000e-03 eta: 1 day, 3:56:13 time: 0.8478 data_time: 0.0172 memory: 19726 grad_norm: 6.0950 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3173 loss: 2.3173 2022/08/08 16:39:28 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 16:39:44 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 6.5000e-03 eta: 1 day, 3:53:14 time: 0.8457 data_time: 0.0180 memory: 19726 grad_norm: 6.2591 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4173 loss: 2.4173 2022/08/08 16:40:01 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 6.5000e-03 eta: 1 day, 3:50:18 time: 0.8472 data_time: 0.0176 memory: 19726 grad_norm: 6.0778 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6328 loss: 2.6328 2022/08/08 16:40:18 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 6.5000e-03 eta: 1 day, 3:47:25 time: 0.8482 data_time: 0.0191 memory: 19726 grad_norm: 5.9561 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5185 loss: 2.5185 2022/08/08 16:40:35 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 6.5000e-03 eta: 1 day, 3:44:33 time: 0.8459 data_time: 0.0180 memory: 19726 grad_norm: 6.1758 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3239 loss: 2.3239 2022/08/08 16:40:52 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 6.5000e-03 eta: 1 day, 3:41:44 time: 0.8480 data_time: 0.0184 memory: 19726 grad_norm: 6.2159 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2695 loss: 2.2695 2022/08/08 16:41:09 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 6.5000e-03 eta: 1 day, 3:38:56 time: 0.8467 data_time: 0.0176 memory: 19726 grad_norm: 6.1461 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3915 loss: 2.3915 2022/08/08 16:41:26 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 6.5000e-03 eta: 1 day, 3:36:09 time: 0.8456 data_time: 0.0174 memory: 19726 grad_norm: 6.1422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1957 loss: 2.1957 2022/08/08 16:41:43 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 6.5000e-03 eta: 1 day, 3:33:24 time: 0.8462 data_time: 0.0176 memory: 19726 grad_norm: 6.2073 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2405 loss: 2.2405 2022/08/08 16:42:00 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 6.5000e-03 eta: 1 day, 3:30:45 time: 0.8526 data_time: 0.0188 memory: 19726 grad_norm: 6.1852 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3883 loss: 2.3883 2022/08/08 16:42:17 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 6.5000e-03 eta: 1 day, 3:28:05 time: 0.8471 data_time: 0.0192 memory: 19726 grad_norm: 6.3285 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4793 loss: 2.4793 2022/08/08 16:42:33 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 6.5000e-03 eta: 1 day, 3:25:25 time: 0.8438 data_time: 0.0176 memory: 19726 grad_norm: 6.1761 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5420 loss: 2.5420 2022/08/08 16:42:50 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 6.5000e-03 eta: 1 day, 3:22:49 time: 0.8496 data_time: 0.0169 memory: 19726 grad_norm: 6.0098 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3927 loss: 2.3927 2022/08/08 16:43:07 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 6.5000e-03 eta: 1 day, 3:20:14 time: 0.8465 data_time: 0.0186 memory: 19726 grad_norm: 6.0288 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5308 loss: 2.5308 2022/08/08 16:43:24 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 6.5000e-03 eta: 1 day, 3:17:40 time: 0.8455 data_time: 0.0177 memory: 19726 grad_norm: 6.1359 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3231 loss: 2.3231 2022/08/08 16:43:41 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 6.5000e-03 eta: 1 day, 3:15:10 time: 0.8500 data_time: 0.0179 memory: 19726 grad_norm: 6.1247 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5222 loss: 2.5222 2022/08/08 16:43:58 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 6.5000e-03 eta: 1 day, 3:12:39 time: 0.8461 data_time: 0.0174 memory: 19726 grad_norm: 6.1371 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4160 loss: 2.4160 2022/08/08 16:44:15 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 6.5000e-03 eta: 1 day, 3:10:12 time: 0.8492 data_time: 0.0177 memory: 19726 grad_norm: 6.2013 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5323 loss: 2.5323 2022/08/08 16:44:32 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 6.5000e-03 eta: 1 day, 3:07:44 time: 0.8463 data_time: 0.0178 memory: 19726 grad_norm: 6.2654 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6020 loss: 2.6020 2022/08/08 16:44:49 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 6.5000e-03 eta: 1 day, 3:05:18 time: 0.8445 data_time: 0.0177 memory: 19726 grad_norm: 6.1679 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2819 loss: 2.2819 2022/08/08 16:45:06 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 6.5000e-03 eta: 1 day, 3:02:54 time: 0.8486 data_time: 0.0178 memory: 19726 grad_norm: 6.1779 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.6338 loss: 2.6338 2022/08/08 16:45:23 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 6.5000e-03 eta: 1 day, 3:00:31 time: 0.8442 data_time: 0.0176 memory: 19726 grad_norm: 6.0777 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3745 loss: 2.3745 2022/08/08 16:45:40 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 6.5000e-03 eta: 1 day, 2:58:08 time: 0.8445 data_time: 0.0185 memory: 19726 grad_norm: 6.1358 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2834 loss: 2.2834 2022/08/08 16:45:57 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 6.5000e-03 eta: 1 day, 2:55:50 time: 0.8487 data_time: 0.0180 memory: 19726 grad_norm: 6.1822 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.3439 loss: 2.3439 2022/08/08 16:46:14 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 6.5000e-03 eta: 1 day, 2:53:34 time: 0.8509 data_time: 0.0200 memory: 19726 grad_norm: 6.1788 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3216 loss: 2.3216 2022/08/08 16:46:31 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 6.5000e-03 eta: 1 day, 2:51:19 time: 0.8508 data_time: 0.0183 memory: 19726 grad_norm: 6.2884 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2598 loss: 2.2598 2022/08/08 16:46:48 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 6.5000e-03 eta: 1 day, 2:49:05 time: 0.8505 data_time: 0.0195 memory: 19726 grad_norm: 6.1004 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2901 loss: 2.2901 2022/08/08 16:47:05 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 6.5000e-03 eta: 1 day, 2:46:55 time: 0.8545 data_time: 0.0265 memory: 19726 grad_norm: 6.3089 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5786 loss: 2.5786 2022/08/08 16:47:22 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 6.5000e-03 eta: 1 day, 2:44:45 time: 0.8520 data_time: 0.0198 memory: 19726 grad_norm: 6.0489 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3521 loss: 2.3521 2022/08/08 16:47:39 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 6.5000e-03 eta: 1 day, 2:42:32 time: 0.8438 data_time: 0.0174 memory: 19726 grad_norm: 6.1690 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4511 loss: 2.4511 2022/08/08 16:47:56 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 6.5000e-03 eta: 1 day, 2:40:20 time: 0.8452 data_time: 0.0189 memory: 19726 grad_norm: 6.2329 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2299 loss: 2.2299 2022/08/08 16:48:13 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 6.5000e-03 eta: 1 day, 2:38:15 time: 0.8537 data_time: 0.0180 memory: 19726 grad_norm: 6.2903 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3752 loss: 2.3752 2022/08/08 16:48:30 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 6.5000e-03 eta: 1 day, 2:36:07 time: 0.8476 data_time: 0.0178 memory: 19726 grad_norm: 6.2001 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.2938 loss: 2.2938 2022/08/08 16:48:47 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 6.5000e-03 eta: 1 day, 2:33:59 time: 0.8438 data_time: 0.0173 memory: 19726 grad_norm: 6.1955 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4024 loss: 2.4024 2022/08/08 16:49:04 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 6.5000e-03 eta: 1 day, 2:31:55 time: 0.8489 data_time: 0.0184 memory: 19726 grad_norm: 6.2788 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4738 loss: 2.4738 2022/08/08 16:49:21 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 6.5000e-03 eta: 1 day, 2:29:52 time: 0.8497 data_time: 0.0166 memory: 19726 grad_norm: 6.1833 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4396 loss: 2.4396 2022/08/08 16:49:37 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 6.5000e-03 eta: 1 day, 2:27:47 time: 0.8424 data_time: 0.0173 memory: 19726 grad_norm: 6.0262 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3672 loss: 2.3672 2022/08/08 16:49:54 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 6.5000e-03 eta: 1 day, 2:25:44 time: 0.8461 data_time: 0.0175 memory: 19726 grad_norm: 6.2503 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2911 loss: 2.2911 2022/08/08 16:50:10 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 16:50:11 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 6.5000e-03 eta: 1 day, 2:25:44 time: 0.8510 data_time: 0.0257 memory: 19726 grad_norm: 6.3176 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.4367 loss: 2.4367 2022/08/08 16:50:27 - mmengine - INFO - Epoch(val) [2][20/155] eta: 0:01:52 time: 0.8321 data_time: 0.5928 memory: 2699 2022/08/08 16:50:39 - mmengine - INFO - Epoch(val) [2][40/155] eta: 0:01:05 time: 0.5689 data_time: 0.3293 memory: 2699 2022/08/08 16:50:54 - mmengine - INFO - Epoch(val) [2][60/155] eta: 0:01:10 time: 0.7420 data_time: 0.5054 memory: 2699 2022/08/08 16:51:04 - mmengine - INFO - Epoch(val) [2][80/155] eta: 0:00:38 time: 0.5140 data_time: 0.2783 memory: 2699 2022/08/08 16:51:16 - mmengine - INFO - Epoch(val) [2][100/155] eta: 0:00:33 time: 0.6086 data_time: 0.3704 memory: 2699 2022/08/08 16:51:27 - mmengine - INFO - Epoch(val) [2][120/155] eta: 0:00:19 time: 0.5513 data_time: 0.3156 memory: 2699 2022/08/08 16:51:41 - mmengine - INFO - Epoch(val) [2][140/155] eta: 0:00:10 time: 0.7064 data_time: 0.4723 memory: 2699 2022/08/08 16:51:54 - mmengine - INFO - Epoch(val) [2][155/155] acc/top1: 0.4987 acc/top5: 0.7666 acc/mean1: 0.4985 2022/08/08 16:51:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/08/08 16:51:56 - mmengine - INFO - The best checkpoint with 0.4987 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/08 16:52:19 - mmengine - INFO - Epoch(train) [3][20/1879] lr: 1.1000e-02 eta: 1 day, 2:17:46 time: 1.1397 data_time: 0.1985 memory: 19726 grad_norm: 6.3935 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3398 loss: 2.3398 2022/08/08 16:52:36 - mmengine - INFO - Epoch(train) [3][40/1879] lr: 1.1000e-02 eta: 1 day, 2:15:52 time: 0.8541 data_time: 0.0172 memory: 19726 grad_norm: 6.3655 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6058 loss: 2.6058 2022/08/08 16:52:53 - mmengine - INFO - Epoch(train) [3][60/1879] lr: 1.1000e-02 eta: 1 day, 2:13:55 time: 0.8454 data_time: 0.0183 memory: 19726 grad_norm: 6.2171 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4948 loss: 2.4948 2022/08/08 16:53:09 - mmengine - INFO - Epoch(train) [3][80/1879] lr: 1.1000e-02 eta: 1 day, 2:11:58 time: 0.8437 data_time: 0.0179 memory: 19726 grad_norm: 6.2702 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.5188 loss: 2.5188 2022/08/08 16:53:26 - mmengine - INFO - Epoch(train) [3][100/1879] lr: 1.1000e-02 eta: 1 day, 2:10:04 time: 0.8474 data_time: 0.0183 memory: 19726 grad_norm: 6.2282 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.5672 loss: 2.5672 2022/08/08 16:53:43 - mmengine - INFO - Epoch(train) [3][120/1879] lr: 1.1000e-02 eta: 1 day, 2:08:10 time: 0.8458 data_time: 0.0179 memory: 19726 grad_norm: 6.3445 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.4758 loss: 2.4758 2022/08/08 16:54:00 - mmengine - INFO - Epoch(train) [3][140/1879] lr: 1.1000e-02 eta: 1 day, 2:06:17 time: 0.8442 data_time: 0.0172 memory: 19726 grad_norm: 6.2192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5170 loss: 2.5170 2022/08/08 16:54:17 - mmengine - INFO - Epoch(train) [3][160/1879] lr: 1.1000e-02 eta: 1 day, 2:04:24 time: 0.8439 data_time: 0.0177 memory: 19726 grad_norm: 6.1460 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5158 loss: 2.5158 2022/08/08 16:54:34 - mmengine - INFO - Epoch(train) [3][180/1879] lr: 1.1000e-02 eta: 1 day, 2:02:36 time: 0.8526 data_time: 0.0185 memory: 19726 grad_norm: 6.0137 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7795 loss: 2.7795 2022/08/08 16:54:51 - mmengine - INFO - Epoch(train) [3][200/1879] lr: 1.1000e-02 eta: 1 day, 2:00:50 time: 0.8526 data_time: 0.0182 memory: 19726 grad_norm: 6.2520 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6270 loss: 2.6270 2022/08/08 16:55:08 - mmengine - INFO - Epoch(train) [3][220/1879] lr: 1.1000e-02 eta: 1 day, 1:59:04 time: 0.8532 data_time: 0.0187 memory: 19726 grad_norm: 5.9741 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5061 loss: 2.5061 2022/08/08 16:55:26 - mmengine - INFO - Epoch(train) [3][240/1879] lr: 1.1000e-02 eta: 1 day, 1:57:25 time: 0.8669 data_time: 0.0386 memory: 19726 grad_norm: 6.1469 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6146 loss: 2.6146 2022/08/08 16:55:27 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 16:55:43 - mmengine - INFO - Epoch(train) [3][260/1879] lr: 1.1000e-02 eta: 1 day, 1:55:45 time: 0.8604 data_time: 0.0174 memory: 19726 grad_norm: 6.0083 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 2.6151 loss: 2.6151 2022/08/08 16:56:00 - mmengine - INFO - Epoch(train) [3][280/1879] lr: 1.1000e-02 eta: 1 day, 1:53:58 time: 0.8447 data_time: 0.0169 memory: 19726 grad_norm: 6.0096 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3898 loss: 2.3898 2022/08/08 16:56:17 - mmengine - INFO - Epoch(train) [3][300/1879] lr: 1.1000e-02 eta: 1 day, 1:52:11 time: 0.8434 data_time: 0.0172 memory: 19726 grad_norm: 5.9723 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4771 loss: 2.4771 2022/08/08 16:56:33 - mmengine - INFO - Epoch(train) [3][320/1879] lr: 1.1000e-02 eta: 1 day, 1:50:28 time: 0.8474 data_time: 0.0183 memory: 19726 grad_norm: 5.9078 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5459 loss: 2.5459 2022/08/08 16:56:50 - mmengine - INFO - Epoch(train) [3][340/1879] lr: 1.1000e-02 eta: 1 day, 1:48:47 time: 0.8522 data_time: 0.0189 memory: 19726 grad_norm: 6.0668 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6903 loss: 2.6903 2022/08/08 16:57:07 - mmengine - INFO - Epoch(train) [3][360/1879] lr: 1.1000e-02 eta: 1 day, 1:47:02 time: 0.8430 data_time: 0.0178 memory: 19726 grad_norm: 5.9447 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4422 loss: 2.4422 2022/08/08 16:57:24 - mmengine - INFO - Epoch(train) [3][380/1879] lr: 1.1000e-02 eta: 1 day, 1:45:24 time: 0.8533 data_time: 0.0185 memory: 19726 grad_norm: 5.8942 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.5539 loss: 2.5539 2022/08/08 16:57:42 - mmengine - INFO - Epoch(train) [3][400/1879] lr: 1.1000e-02 eta: 1 day, 1:43:59 time: 0.8852 data_time: 0.0192 memory: 19726 grad_norm: 5.8277 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4141 loss: 2.4141 2022/08/08 16:57:59 - mmengine - INFO - Epoch(train) [3][420/1879] lr: 1.1000e-02 eta: 1 day, 1:42:21 time: 0.8515 data_time: 0.0256 memory: 19726 grad_norm: 5.9880 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4441 loss: 2.4441 2022/08/08 16:58:16 - mmengine - INFO - Epoch(train) [3][440/1879] lr: 1.1000e-02 eta: 1 day, 1:40:43 time: 0.8499 data_time: 0.0184 memory: 19726 grad_norm: 5.9683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3178 loss: 2.3178 2022/08/08 16:58:33 - mmengine - INFO - Epoch(train) [3][460/1879] lr: 1.1000e-02 eta: 1 day, 1:39:04 time: 0.8447 data_time: 0.0180 memory: 19726 grad_norm: 5.9434 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5361 loss: 2.5361 2022/08/08 16:58:50 - mmengine - INFO - Epoch(train) [3][480/1879] lr: 1.1000e-02 eta: 1 day, 1:37:25 time: 0.8431 data_time: 0.0180 memory: 19726 grad_norm: 6.0973 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.5304 loss: 2.5304 2022/08/08 16:59:07 - mmengine - INFO - Epoch(train) [3][500/1879] lr: 1.1000e-02 eta: 1 day, 1:35:45 time: 0.8410 data_time: 0.0174 memory: 19726 grad_norm: 6.0338 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4800 loss: 2.4800 2022/08/08 16:59:24 - mmengine - INFO - Epoch(train) [3][520/1879] lr: 1.1000e-02 eta: 1 day, 1:34:09 time: 0.8459 data_time: 0.0178 memory: 19726 grad_norm: 5.8926 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5421 loss: 2.5421 2022/08/08 16:59:41 - mmengine - INFO - Epoch(train) [3][540/1879] lr: 1.1000e-02 eta: 1 day, 1:32:31 time: 0.8424 data_time: 0.0177 memory: 19726 grad_norm: 5.7498 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3809 loss: 2.3809 2022/08/08 16:59:57 - mmengine - INFO - Epoch(train) [3][560/1879] lr: 1.1000e-02 eta: 1 day, 1:30:56 time: 0.8466 data_time: 0.0176 memory: 19726 grad_norm: 5.7006 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3651 loss: 2.3651 2022/08/08 17:00:14 - mmengine - INFO - Epoch(train) [3][580/1879] lr: 1.1000e-02 eta: 1 day, 1:29:24 time: 0.8502 data_time: 0.0192 memory: 19726 grad_norm: 5.8557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4128 loss: 2.4128 2022/08/08 17:00:32 - mmengine - INFO - Epoch(train) [3][600/1879] lr: 1.1000e-02 eta: 1 day, 1:27:55 time: 0.8578 data_time: 0.0191 memory: 19726 grad_norm: 5.8751 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.5608 loss: 2.5608 2022/08/08 17:00:48 - mmengine - INFO - Epoch(train) [3][620/1879] lr: 1.1000e-02 eta: 1 day, 1:26:21 time: 0.8435 data_time: 0.0182 memory: 19726 grad_norm: 5.7649 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4041 loss: 2.4041 2022/08/08 17:01:05 - mmengine - INFO - Epoch(train) [3][640/1879] lr: 1.1000e-02 eta: 1 day, 1:24:49 time: 0.8479 data_time: 0.0181 memory: 19726 grad_norm: 5.7655 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.5605 loss: 2.5605 2022/08/08 17:01:22 - mmengine - INFO - Epoch(train) [3][660/1879] lr: 1.1000e-02 eta: 1 day, 1:23:20 time: 0.8520 data_time: 0.0176 memory: 19726 grad_norm: 5.7765 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4328 loss: 2.4328 2022/08/08 17:01:39 - mmengine - INFO - Epoch(train) [3][680/1879] lr: 1.1000e-02 eta: 1 day, 1:21:48 time: 0.8424 data_time: 0.0178 memory: 19726 grad_norm: 5.7256 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4446 loss: 2.4446 2022/08/08 17:01:56 - mmengine - INFO - Epoch(train) [3][700/1879] lr: 1.1000e-02 eta: 1 day, 1:20:17 time: 0.8434 data_time: 0.0178 memory: 19726 grad_norm: 5.8273 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3055 loss: 2.3055 2022/08/08 17:02:13 - mmengine - INFO - Epoch(train) [3][720/1879] lr: 1.1000e-02 eta: 1 day, 1:18:50 time: 0.8529 data_time: 0.0186 memory: 19726 grad_norm: 5.6773 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4122 loss: 2.4122 2022/08/08 17:02:30 - mmengine - INFO - Epoch(train) [3][740/1879] lr: 1.1000e-02 eta: 1 day, 1:17:21 time: 0.8471 data_time: 0.0192 memory: 19726 grad_norm: 5.6399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3761 loss: 2.3761 2022/08/08 17:02:47 - mmengine - INFO - Epoch(train) [3][760/1879] lr: 1.1000e-02 eta: 1 day, 1:15:52 time: 0.8431 data_time: 0.0171 memory: 19726 grad_norm: 5.7643 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3996 loss: 2.3996 2022/08/08 17:03:04 - mmengine - INFO - Epoch(train) [3][780/1879] lr: 1.1000e-02 eta: 1 day, 1:14:25 time: 0.8501 data_time: 0.0186 memory: 19726 grad_norm: 5.7472 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4524 loss: 2.4524 2022/08/08 17:03:21 - mmengine - INFO - Epoch(train) [3][800/1879] lr: 1.1000e-02 eta: 1 day, 1:12:58 time: 0.8443 data_time: 0.0174 memory: 19726 grad_norm: 5.9580 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.4672 loss: 2.4672 2022/08/08 17:03:38 - mmengine - INFO - Epoch(train) [3][820/1879] lr: 1.1000e-02 eta: 1 day, 1:11:32 time: 0.8481 data_time: 0.0184 memory: 19726 grad_norm: 5.7681 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5221 loss: 2.5221 2022/08/08 17:03:55 - mmengine - INFO - Epoch(train) [3][840/1879] lr: 1.1000e-02 eta: 1 day, 1:10:11 time: 0.8576 data_time: 0.0240 memory: 19726 grad_norm: 5.7044 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.5168 loss: 2.5168 2022/08/08 17:04:12 - mmengine - INFO - Epoch(train) [3][860/1879] lr: 1.1000e-02 eta: 1 day, 1:08:46 time: 0.8475 data_time: 0.0187 memory: 19726 grad_norm: 5.7596 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4330 loss: 2.4330 2022/08/08 17:04:29 - mmengine - INFO - Epoch(train) [3][880/1879] lr: 1.1000e-02 eta: 1 day, 1:07:21 time: 0.8447 data_time: 0.0181 memory: 19726 grad_norm: 5.9269 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.7042 loss: 2.7042 2022/08/08 17:04:46 - mmengine - INFO - Epoch(train) [3][900/1879] lr: 1.1000e-02 eta: 1 day, 1:05:57 time: 0.8483 data_time: 0.0179 memory: 19726 grad_norm: 5.6936 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5631 loss: 2.5631 2022/08/08 17:05:03 - mmengine - INFO - Epoch(train) [3][920/1879] lr: 1.1000e-02 eta: 1 day, 1:04:36 time: 0.8525 data_time: 0.0224 memory: 19726 grad_norm: 5.7463 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5337 loss: 2.5337 2022/08/08 17:05:20 - mmengine - INFO - Epoch(train) [3][940/1879] lr: 1.1000e-02 eta: 1 day, 1:03:15 time: 0.8511 data_time: 0.0176 memory: 19726 grad_norm: 5.6876 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3406 loss: 2.3406 2022/08/08 17:05:37 - mmengine - INFO - Epoch(train) [3][960/1879] lr: 1.1000e-02 eta: 1 day, 1:01:55 time: 0.8515 data_time: 0.0206 memory: 19726 grad_norm: 5.7466 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4744 loss: 2.4744 2022/08/08 17:05:54 - mmengine - INFO - Epoch(train) [3][980/1879] lr: 1.1000e-02 eta: 1 day, 1:00:33 time: 0.8462 data_time: 0.0179 memory: 19726 grad_norm: 5.6670 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3812 loss: 2.3812 2022/08/08 17:06:11 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 1.1000e-02 eta: 1 day, 0:59:13 time: 0.8501 data_time: 0.0187 memory: 19726 grad_norm: 5.6511 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4520 loss: 2.4520 2022/08/08 17:06:28 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 1.1000e-02 eta: 1 day, 0:57:55 time: 0.8527 data_time: 0.0171 memory: 19726 grad_norm: 5.6188 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2566 loss: 2.2566 2022/08/08 17:06:45 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 1.1000e-02 eta: 1 day, 0:56:35 time: 0.8478 data_time: 0.0188 memory: 19726 grad_norm: 5.6725 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.3909 loss: 2.3909 2022/08/08 17:07:02 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 1.1000e-02 eta: 1 day, 0:55:16 time: 0.8483 data_time: 0.0159 memory: 19726 grad_norm: 5.8048 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5431 loss: 2.5431 2022/08/08 17:07:19 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 1.1000e-02 eta: 1 day, 0:54:00 time: 0.8534 data_time: 0.0188 memory: 19726 grad_norm: 5.5434 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1275 loss: 2.1275 2022/08/08 17:07:36 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 1.1000e-02 eta: 1 day, 0:52:41 time: 0.8467 data_time: 0.0187 memory: 19726 grad_norm: 5.5248 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2687 loss: 2.2687 2022/08/08 17:07:53 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 1.1000e-02 eta: 1 day, 0:51:28 time: 0.8610 data_time: 0.0253 memory: 19726 grad_norm: 5.7171 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2020 loss: 2.2020 2022/08/08 17:08:10 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 1.1000e-02 eta: 1 day, 0:50:14 time: 0.8546 data_time: 0.0171 memory: 19726 grad_norm: 5.6267 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0733 loss: 2.0733 2022/08/08 17:08:27 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 1.1000e-02 eta: 1 day, 0:49:00 time: 0.8552 data_time: 0.0172 memory: 19726 grad_norm: 5.5419 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2824 loss: 2.2824 2022/08/08 17:08:44 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 1.1000e-02 eta: 1 day, 0:47:44 time: 0.8492 data_time: 0.0176 memory: 19726 grad_norm: 5.7376 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.4591 loss: 2.4591 2022/08/08 17:09:01 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 1.1000e-02 eta: 1 day, 0:46:31 time: 0.8539 data_time: 0.0188 memory: 19726 grad_norm: 5.7562 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4727 loss: 2.4727 2022/08/08 17:09:18 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 1.1000e-02 eta: 1 day, 0:45:16 time: 0.8508 data_time: 0.0165 memory: 19726 grad_norm: 5.7219 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2572 loss: 2.2572 2022/08/08 17:09:36 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 1.1000e-02 eta: 1 day, 0:44:05 time: 0.8562 data_time: 0.0205 memory: 19726 grad_norm: 5.5367 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2289 loss: 2.2289 2022/08/08 17:09:37 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 17:09:52 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 1.1000e-02 eta: 1 day, 0:42:51 time: 0.8489 data_time: 0.0157 memory: 19726 grad_norm: 5.4822 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2739 loss: 2.2739 2022/08/08 17:10:10 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 1.1000e-02 eta: 1 day, 0:41:39 time: 0.8530 data_time: 0.0200 memory: 19726 grad_norm: 5.4713 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3654 loss: 2.3654 2022/08/08 17:10:27 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 1.1000e-02 eta: 1 day, 0:40:32 time: 0.8672 data_time: 0.0191 memory: 19726 grad_norm: 5.5213 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4530 loss: 2.4530 2022/08/08 17:10:44 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 1.1000e-02 eta: 1 day, 0:39:20 time: 0.8505 data_time: 0.0171 memory: 19726 grad_norm: 5.6437 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3709 loss: 2.3709 2022/08/08 17:11:01 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 1.1000e-02 eta: 1 day, 0:38:08 time: 0.8490 data_time: 0.0170 memory: 19726 grad_norm: 5.6198 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1910 loss: 2.1910 2022/08/08 17:11:18 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 1.1000e-02 eta: 1 day, 0:36:55 time: 0.8458 data_time: 0.0186 memory: 19726 grad_norm: 5.4703 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5218 loss: 2.5218 2022/08/08 17:11:35 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 1.1000e-02 eta: 1 day, 0:35:44 time: 0.8492 data_time: 0.0170 memory: 19726 grad_norm: 5.4950 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2726 loss: 2.2726 2022/08/08 17:11:52 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 1.1000e-02 eta: 1 day, 0:34:33 time: 0.8512 data_time: 0.0171 memory: 19726 grad_norm: 5.6251 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.5783 loss: 2.5783 2022/08/08 17:12:09 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 1.1000e-02 eta: 1 day, 0:33:24 time: 0.8509 data_time: 0.0182 memory: 19726 grad_norm: 5.5461 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3487 loss: 2.3487 2022/08/08 17:12:26 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 1.1000e-02 eta: 1 day, 0:32:15 time: 0.8540 data_time: 0.0177 memory: 19726 grad_norm: 5.4784 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5742 loss: 2.5742 2022/08/08 17:12:43 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 1.1000e-02 eta: 1 day, 0:31:05 time: 0.8470 data_time: 0.0167 memory: 19726 grad_norm: 5.4794 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3859 loss: 2.3859 2022/08/08 17:13:00 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 1.1000e-02 eta: 1 day, 0:29:57 time: 0.8533 data_time: 0.0202 memory: 19726 grad_norm: 5.3836 top1_acc: 0.0000 top5_acc: 0.3750 loss_cls: 2.2791 loss: 2.2791 2022/08/08 17:13:17 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 1.1000e-02 eta: 1 day, 0:28:49 time: 0.8506 data_time: 0.0153 memory: 19726 grad_norm: 5.4291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2796 loss: 2.2796 2022/08/08 17:13:34 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 1.1000e-02 eta: 1 day, 0:27:39 time: 0.8443 data_time: 0.0184 memory: 19726 grad_norm: 5.4613 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3451 loss: 2.3451 2022/08/08 17:13:51 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 1.1000e-02 eta: 1 day, 0:26:30 time: 0.8473 data_time: 0.0165 memory: 19726 grad_norm: 5.5669 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.3423 loss: 2.3423 2022/08/08 17:14:08 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 1.1000e-02 eta: 1 day, 0:25:22 time: 0.8478 data_time: 0.0175 memory: 19726 grad_norm: 5.5059 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2965 loss: 2.2965 2022/08/08 17:14:25 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 1.1000e-02 eta: 1 day, 0:24:15 time: 0.8496 data_time: 0.0185 memory: 19726 grad_norm: 5.4609 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4950 loss: 2.4950 2022/08/08 17:14:42 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 1.1000e-02 eta: 1 day, 0:23:07 time: 0.8452 data_time: 0.0180 memory: 19726 grad_norm: 5.3584 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2768 loss: 2.2768 2022/08/08 17:14:59 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 1.1000e-02 eta: 1 day, 0:22:06 time: 0.8654 data_time: 0.0178 memory: 19726 grad_norm: 5.4237 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2010 loss: 2.2010 2022/08/08 17:15:16 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 1.1000e-02 eta: 1 day, 0:21:03 time: 0.8591 data_time: 0.0246 memory: 19726 grad_norm: 5.2067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2981 loss: 2.2981 2022/08/08 17:15:33 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 1.1000e-02 eta: 1 day, 0:19:57 time: 0.8481 data_time: 0.0155 memory: 19726 grad_norm: 5.4712 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1449 loss: 2.1449 2022/08/08 17:15:50 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 1.1000e-02 eta: 1 day, 0:18:50 time: 0.8464 data_time: 0.0169 memory: 19726 grad_norm: 5.3663 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2253 loss: 2.2253 2022/08/08 17:16:07 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 1.1000e-02 eta: 1 day, 0:17:46 time: 0.8511 data_time: 0.0179 memory: 19726 grad_norm: 5.4824 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1048 loss: 2.1048 2022/08/08 17:16:24 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 1.1000e-02 eta: 1 day, 0:16:42 time: 0.8531 data_time: 0.0235 memory: 19726 grad_norm: 5.4795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4483 loss: 2.4483 2022/08/08 17:16:41 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 1.1000e-02 eta: 1 day, 0:15:38 time: 0.8490 data_time: 0.0179 memory: 19726 grad_norm: 5.4903 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4181 loss: 2.4181 2022/08/08 17:16:58 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 1.1000e-02 eta: 1 day, 0:14:34 time: 0.8495 data_time: 0.0174 memory: 19726 grad_norm: 5.4045 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1510 loss: 2.1510 2022/08/08 17:17:15 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 1.1000e-02 eta: 1 day, 0:13:31 time: 0.8526 data_time: 0.0162 memory: 19726 grad_norm: 5.4859 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3155 loss: 2.3155 2022/08/08 17:17:32 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 1.1000e-02 eta: 1 day, 0:12:28 time: 0.8488 data_time: 0.0161 memory: 19726 grad_norm: 5.5775 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2482 loss: 2.2482 2022/08/08 17:17:49 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 1.1000e-02 eta: 1 day, 0:11:24 time: 0.8481 data_time: 0.0181 memory: 19726 grad_norm: 5.3793 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2544 loss: 2.2544 2022/08/08 17:18:06 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 1.1000e-02 eta: 1 day, 0:10:22 time: 0.8491 data_time: 0.0183 memory: 19726 grad_norm: 5.4869 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2878 loss: 2.2878 2022/08/08 17:18:23 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 1.1000e-02 eta: 1 day, 0:09:18 time: 0.8471 data_time: 0.0169 memory: 19726 grad_norm: 5.3528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3347 loss: 2.3347 2022/08/08 17:18:39 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 17:18:39 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 1.1000e-02 eta: 1 day, 0:09:18 time: 0.8381 data_time: 0.0169 memory: 19726 grad_norm: 5.5190 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 2.2260 loss: 2.2260 2022/08/08 17:18:39 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/08 17:18:56 - mmengine - INFO - Epoch(val) [3][20/155] eta: 0:01:39 time: 0.7372 data_time: 0.4991 memory: 2699 2022/08/08 17:19:05 - mmengine - INFO - Epoch(val) [3][40/155] eta: 0:00:51 time: 0.4494 data_time: 0.2108 memory: 2699 2022/08/08 17:19:18 - mmengine - INFO - Epoch(val) [3][60/155] eta: 0:01:02 time: 0.6562 data_time: 0.4092 memory: 2699 2022/08/08 17:19:33 - mmengine - INFO - Epoch(val) [3][80/155] eta: 0:00:54 time: 0.7309 data_time: 0.4951 memory: 2699 2022/08/08 17:19:41 - mmengine - INFO - Epoch(val) [3][100/155] eta: 0:00:22 time: 0.4019 data_time: 0.1663 memory: 2699 2022/08/08 17:19:59 - mmengine - INFO - Epoch(val) [3][120/155] eta: 0:00:31 time: 0.8935 data_time: 0.6578 memory: 2699 2022/08/08 17:20:13 - mmengine - INFO - Epoch(val) [3][140/155] eta: 0:00:11 time: 0.7345 data_time: 0.5017 memory: 2699 2022/08/08 17:20:26 - mmengine - INFO - Epoch(val) [3][155/155] acc/top1: 0.4907 acc/top5: 0.7575 acc/mean1: 0.4905 2022/08/08 17:20:48 - mmengine - INFO - Epoch(train) [4][20/1879] lr: 1.5500e-02 eta: 1 day, 0:04:28 time: 1.1113 data_time: 0.2651 memory: 19726 grad_norm: 5.4942 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3529 loss: 2.3529 2022/08/08 17:21:05 - mmengine - INFO - Epoch(train) [4][40/1879] lr: 1.5500e-02 eta: 1 day, 0:03:25 time: 0.8444 data_time: 0.0159 memory: 19726 grad_norm: 5.5362 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3724 loss: 2.3724 2022/08/08 17:21:22 - mmengine - INFO - Epoch(train) [4][60/1879] lr: 1.5500e-02 eta: 1 day, 0:02:22 time: 0.8404 data_time: 0.0166 memory: 19726 grad_norm: 5.4544 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2747 loss: 2.2747 2022/08/08 17:21:39 - mmengine - INFO - Epoch(train) [4][80/1879] lr: 1.5500e-02 eta: 1 day, 0:01:20 time: 0.8423 data_time: 0.0181 memory: 19726 grad_norm: 5.3056 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.1234 loss: 2.1234 2022/08/08 17:21:56 - mmengine - INFO - Epoch(train) [4][100/1879] lr: 1.5500e-02 eta: 1 day, 0:00:19 time: 0.8466 data_time: 0.0187 memory: 19726 grad_norm: 5.4243 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3087 loss: 2.3087 2022/08/08 17:22:13 - mmengine - INFO - Epoch(train) [4][120/1879] lr: 1.5500e-02 eta: 23:59:19 time: 0.8473 data_time: 0.0183 memory: 19726 grad_norm: 5.4331 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3937 loss: 2.3937 2022/08/08 17:22:30 - mmengine - INFO - Epoch(train) [4][140/1879] lr: 1.5500e-02 eta: 23:58:19 time: 0.8463 data_time: 0.0181 memory: 19726 grad_norm: 5.4849 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4518 loss: 2.4518 2022/08/08 17:22:47 - mmengine - INFO - Epoch(train) [4][160/1879] lr: 1.5500e-02 eta: 23:57:20 time: 0.8504 data_time: 0.0183 memory: 19726 grad_norm: 5.4826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.6712 loss: 2.6712 2022/08/08 17:23:04 - mmengine - INFO - Epoch(train) [4][180/1879] lr: 1.5500e-02 eta: 23:56:21 time: 0.8463 data_time: 0.0169 memory: 19726 grad_norm: 5.3050 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3162 loss: 2.3162 2022/08/08 17:23:21 - mmengine - INFO - Epoch(train) [4][200/1879] lr: 1.5500e-02 eta: 23:55:21 time: 0.8457 data_time: 0.0177 memory: 19726 grad_norm: 5.3577 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.5814 loss: 2.5814 2022/08/08 17:23:38 - mmengine - INFO - Epoch(train) [4][220/1879] lr: 1.5500e-02 eta: 23:54:26 time: 0.8578 data_time: 0.0174 memory: 19726 grad_norm: 5.3566 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4111 loss: 2.4111 2022/08/08 17:23:55 - mmengine - INFO - Epoch(train) [4][240/1879] lr: 1.5500e-02 eta: 23:53:28 time: 0.8505 data_time: 0.0176 memory: 19726 grad_norm: 5.3296 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6283 loss: 2.6283 2022/08/08 17:24:12 - mmengine - INFO - Epoch(train) [4][260/1879] lr: 1.5500e-02 eta: 23:52:30 time: 0.8460 data_time: 0.0177 memory: 19726 grad_norm: 5.2092 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4533 loss: 2.4533 2022/08/08 17:24:29 - mmengine - INFO - Epoch(train) [4][280/1879] lr: 1.5500e-02 eta: 23:51:32 time: 0.8480 data_time: 0.0184 memory: 19726 grad_norm: 5.2111 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3806 loss: 2.3806 2022/08/08 17:24:46 - mmengine - INFO - Epoch(train) [4][300/1879] lr: 1.5500e-02 eta: 23:50:35 time: 0.8480 data_time: 0.0177 memory: 19726 grad_norm: 5.2508 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4595 loss: 2.4595 2022/08/08 17:25:02 - mmengine - INFO - Epoch(train) [4][320/1879] lr: 1.5500e-02 eta: 23:49:36 time: 0.8427 data_time: 0.0178 memory: 19726 grad_norm: 5.3521 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4160 loss: 2.4160 2022/08/08 17:25:20 - mmengine - INFO - Epoch(train) [4][340/1879] lr: 1.5500e-02 eta: 23:48:43 time: 0.8602 data_time: 0.0235 memory: 19726 grad_norm: 5.3068 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.6046 loss: 2.6046 2022/08/08 17:25:37 - mmengine - INFO - Epoch(train) [4][360/1879] lr: 1.5500e-02 eta: 23:47:54 time: 0.8730 data_time: 0.0259 memory: 19726 grad_norm: 5.1600 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.4367 loss: 2.4367 2022/08/08 17:25:40 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 17:25:54 - mmengine - INFO - Epoch(train) [4][380/1879] lr: 1.5500e-02 eta: 23:46:57 time: 0.8472 data_time: 0.0172 memory: 19726 grad_norm: 5.2135 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3690 loss: 2.3690 2022/08/08 17:26:11 - mmengine - INFO - Epoch(train) [4][400/1879] lr: 1.5500e-02 eta: 23:46:00 time: 0.8446 data_time: 0.0177 memory: 19726 grad_norm: 5.3438 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2900 loss: 2.2900 2022/08/08 17:26:28 - mmengine - INFO - Epoch(train) [4][420/1879] lr: 1.5500e-02 eta: 23:45:03 time: 0.8430 data_time: 0.0175 memory: 19726 grad_norm: 5.1831 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.5169 loss: 2.5169 2022/08/08 17:26:45 - mmengine - INFO - Epoch(train) [4][440/1879] lr: 1.5500e-02 eta: 23:44:09 time: 0.8536 data_time: 0.0187 memory: 19726 grad_norm: 5.1658 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3663 loss: 2.3663 2022/08/08 17:27:02 - mmengine - INFO - Epoch(train) [4][460/1879] lr: 1.5500e-02 eta: 23:43:13 time: 0.8473 data_time: 0.0184 memory: 19726 grad_norm: 5.1490 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4728 loss: 2.4728 2022/08/08 17:27:19 - mmengine - INFO - Epoch(train) [4][480/1879] lr: 1.5500e-02 eta: 23:42:16 time: 0.8416 data_time: 0.0175 memory: 19726 grad_norm: 5.2497 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3345 loss: 2.3345 2022/08/08 17:27:36 - mmengine - INFO - Epoch(train) [4][500/1879] lr: 1.5500e-02 eta: 23:41:22 time: 0.8485 data_time: 0.0178 memory: 19726 grad_norm: 5.0183 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2736 loss: 2.2736 2022/08/08 17:27:52 - mmengine - INFO - Epoch(train) [4][520/1879] lr: 1.5500e-02 eta: 23:40:26 time: 0.8422 data_time: 0.0178 memory: 19726 grad_norm: 5.1896 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3438 loss: 2.3438 2022/08/08 17:28:09 - mmengine - INFO - Epoch(train) [4][540/1879] lr: 1.5500e-02 eta: 23:39:31 time: 0.8465 data_time: 0.0194 memory: 19726 grad_norm: 5.0395 top1_acc: 0.2500 top5_acc: 0.8750 loss_cls: 2.3545 loss: 2.3545 2022/08/08 17:28:26 - mmengine - INFO - Epoch(train) [4][560/1879] lr: 1.5500e-02 eta: 23:38:37 time: 0.8490 data_time: 0.0190 memory: 19726 grad_norm: 5.0785 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3944 loss: 2.3944 2022/08/08 17:28:43 - mmengine - INFO - Epoch(train) [4][580/1879] lr: 1.5500e-02 eta: 23:37:42 time: 0.8451 data_time: 0.0183 memory: 19726 grad_norm: 5.1899 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4328 loss: 2.4328 2022/08/08 17:29:00 - mmengine - INFO - Epoch(train) [4][600/1879] lr: 1.5500e-02 eta: 23:36:50 time: 0.8520 data_time: 0.0180 memory: 19726 grad_norm: 5.0856 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.4463 loss: 2.4463 2022/08/08 17:29:17 - mmengine - INFO - Epoch(train) [4][620/1879] lr: 1.5500e-02 eta: 23:35:57 time: 0.8488 data_time: 0.0181 memory: 19726 grad_norm: 5.1772 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.4731 loss: 2.4731 2022/08/08 17:29:34 - mmengine - INFO - Epoch(train) [4][640/1879] lr: 1.5500e-02 eta: 23:35:03 time: 0.8451 data_time: 0.0178 memory: 19726 grad_norm: 5.0575 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4010 loss: 2.4010 2022/08/08 17:29:51 - mmengine - INFO - Epoch(train) [4][660/1879] lr: 1.5500e-02 eta: 23:34:09 time: 0.8436 data_time: 0.0180 memory: 19726 grad_norm: 5.1413 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2990 loss: 2.2990 2022/08/08 17:30:08 - mmengine - INFO - Epoch(train) [4][680/1879] lr: 1.5500e-02 eta: 23:33:15 time: 0.8443 data_time: 0.0181 memory: 19726 grad_norm: 5.0156 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3677 loss: 2.3677 2022/08/08 17:30:25 - mmengine - INFO - Epoch(train) [4][700/1879] lr: 1.5500e-02 eta: 23:32:27 time: 0.8642 data_time: 0.0241 memory: 19726 grad_norm: 5.1787 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4495 loss: 2.4495 2022/08/08 17:30:42 - mmengine - INFO - Epoch(train) [4][720/1879] lr: 1.5500e-02 eta: 23:31:34 time: 0.8442 data_time: 0.0185 memory: 19726 grad_norm: 4.9680 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3887 loss: 2.3887 2022/08/08 17:30:59 - mmengine - INFO - Epoch(train) [4][740/1879] lr: 1.5500e-02 eta: 23:30:41 time: 0.8439 data_time: 0.0178 memory: 19726 grad_norm: 5.0281 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4494 loss: 2.4494 2022/08/08 17:31:16 - mmengine - INFO - Epoch(train) [4][760/1879] lr: 1.5500e-02 eta: 23:29:50 time: 0.8523 data_time: 0.0191 memory: 19726 grad_norm: 5.1962 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.4358 loss: 2.4358 2022/08/08 17:31:33 - mmengine - INFO - Epoch(train) [4][780/1879] lr: 1.5500e-02 eta: 23:28:58 time: 0.8461 data_time: 0.0178 memory: 19726 grad_norm: 5.0628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5166 loss: 2.5166 2022/08/08 17:31:50 - mmengine - INFO - Epoch(train) [4][800/1879] lr: 1.5500e-02 eta: 23:28:06 time: 0.8448 data_time: 0.0183 memory: 19726 grad_norm: 5.2388 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4276 loss: 2.4276 2022/08/08 17:32:07 - mmengine - INFO - Epoch(train) [4][820/1879] lr: 1.5500e-02 eta: 23:27:16 time: 0.8521 data_time: 0.0195 memory: 19726 grad_norm: 4.9333 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5548 loss: 2.5548 2022/08/08 17:32:24 - mmengine - INFO - Epoch(train) [4][840/1879] lr: 1.5500e-02 eta: 23:26:25 time: 0.8483 data_time: 0.0179 memory: 19726 grad_norm: 4.9785 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2502 loss: 2.2502 2022/08/08 17:32:41 - mmengine - INFO - Epoch(train) [4][860/1879] lr: 1.5500e-02 eta: 23:25:34 time: 0.8476 data_time: 0.0181 memory: 19726 grad_norm: 5.0433 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.3142 loss: 2.3142 2022/08/08 17:32:58 - mmengine - INFO - Epoch(train) [4][880/1879] lr: 1.5500e-02 eta: 23:24:45 time: 0.8515 data_time: 0.0191 memory: 19726 grad_norm: 5.1175 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1717 loss: 2.1717 2022/08/08 17:33:15 - mmengine - INFO - Epoch(train) [4][900/1879] lr: 1.5500e-02 eta: 23:23:54 time: 0.8464 data_time: 0.0180 memory: 19726 grad_norm: 4.9056 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2205 loss: 2.2205 2022/08/08 17:33:32 - mmengine - INFO - Epoch(train) [4][920/1879] lr: 1.5500e-02 eta: 23:23:04 time: 0.8475 data_time: 0.0173 memory: 19726 grad_norm: 4.9481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3061 loss: 2.3061 2022/08/08 17:33:49 - mmengine - INFO - Epoch(train) [4][940/1879] lr: 1.5500e-02 eta: 23:22:16 time: 0.8562 data_time: 0.0189 memory: 19726 grad_norm: 4.8200 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3963 loss: 2.3963 2022/08/08 17:34:06 - mmengine - INFO - Epoch(train) [4][960/1879] lr: 1.5500e-02 eta: 23:21:26 time: 0.8477 data_time: 0.0186 memory: 19726 grad_norm: 4.9445 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3298 loss: 2.3298 2022/08/08 17:34:23 - mmengine - INFO - Epoch(train) [4][980/1879] lr: 1.5500e-02 eta: 23:20:37 time: 0.8506 data_time: 0.0175 memory: 19726 grad_norm: 4.8708 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2589 loss: 2.2589 2022/08/08 17:34:40 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 1.5500e-02 eta: 23:19:49 time: 0.8496 data_time: 0.0177 memory: 19726 grad_norm: 4.9081 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3364 loss: 2.3364 2022/08/08 17:34:57 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 1.5500e-02 eta: 23:18:59 time: 0.8471 data_time: 0.0184 memory: 19726 grad_norm: 4.9829 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3756 loss: 2.3756 2022/08/08 17:35:14 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 1.5500e-02 eta: 23:18:12 time: 0.8542 data_time: 0.0199 memory: 19726 grad_norm: 4.9935 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.3715 loss: 2.3715 2022/08/08 17:35:31 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 1.5500e-02 eta: 23:17:25 time: 0.8570 data_time: 0.0244 memory: 19726 grad_norm: 5.0535 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2442 loss: 2.2442 2022/08/08 17:35:48 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 1.5500e-02 eta: 23:16:38 time: 0.8525 data_time: 0.0186 memory: 19726 grad_norm: 4.7143 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3806 loss: 2.3806 2022/08/08 17:36:05 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 1.5500e-02 eta: 23:15:50 time: 0.8480 data_time: 0.0166 memory: 19726 grad_norm: 4.8396 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4327 loss: 2.4327 2022/08/08 17:36:22 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 1.5500e-02 eta: 23:15:01 time: 0.8465 data_time: 0.0185 memory: 19726 grad_norm: 4.9207 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1684 loss: 2.1684 2022/08/08 17:36:39 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 1.5500e-02 eta: 23:14:16 time: 0.8579 data_time: 0.0183 memory: 19726 grad_norm: 4.8712 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3206 loss: 2.3206 2022/08/08 17:36:56 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 1.5500e-02 eta: 23:13:28 time: 0.8472 data_time: 0.0189 memory: 19726 grad_norm: 4.9192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4149 loss: 2.4149 2022/08/08 17:37:13 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 1.5500e-02 eta: 23:12:42 time: 0.8553 data_time: 0.0236 memory: 19726 grad_norm: 4.9356 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2105 loss: 2.2105 2022/08/08 17:37:30 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 1.5500e-02 eta: 23:11:57 time: 0.8587 data_time: 0.0176 memory: 19726 grad_norm: 4.9034 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4331 loss: 2.4331 2022/08/08 17:37:48 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 1.5500e-02 eta: 23:11:13 time: 0.8604 data_time: 0.0180 memory: 19726 grad_norm: 4.8826 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4384 loss: 2.4384 2022/08/08 17:38:05 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 1.5500e-02 eta: 23:10:26 time: 0.8504 data_time: 0.0193 memory: 19726 grad_norm: 4.8799 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1535 loss: 2.1535 2022/08/08 17:38:22 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 1.5500e-02 eta: 23:09:41 time: 0.8545 data_time: 0.0232 memory: 19726 grad_norm: 4.8887 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2615 loss: 2.2615 2022/08/08 17:38:39 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 1.5500e-02 eta: 23:08:55 time: 0.8497 data_time: 0.0182 memory: 19726 grad_norm: 4.8939 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2563 loss: 2.2563 2022/08/08 17:38:55 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 1.5500e-02 eta: 23:08:07 time: 0.8437 data_time: 0.0173 memory: 19726 grad_norm: 4.8927 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3440 loss: 2.3440 2022/08/08 17:39:12 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 1.5500e-02 eta: 23:07:21 time: 0.8488 data_time: 0.0176 memory: 19726 grad_norm: 4.8376 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2999 loss: 2.2999 2022/08/08 17:39:30 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 1.5500e-02 eta: 23:06:35 time: 0.8517 data_time: 0.0176 memory: 19726 grad_norm: 4.8812 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2397 loss: 2.2397 2022/08/08 17:39:46 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 1.5500e-02 eta: 23:05:49 time: 0.8468 data_time: 0.0183 memory: 19726 grad_norm: 4.9327 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2315 loss: 2.2315 2022/08/08 17:39:49 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 17:40:04 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 1.5500e-02 eta: 23:05:05 time: 0.8555 data_time: 0.0170 memory: 19726 grad_norm: 4.8892 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.3448 loss: 2.3448 2022/08/08 17:40:21 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 1.5500e-02 eta: 23:04:23 time: 0.8650 data_time: 0.0221 memory: 19726 grad_norm: 4.7828 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.2640 loss: 2.2640 2022/08/08 17:40:41 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 1.5500e-02 eta: 23:04:21 time: 1.0257 data_time: 0.1918 memory: 19726 grad_norm: 4.9225 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9541 loss: 1.9541 2022/08/08 17:40:58 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 1.5500e-02 eta: 23:03:38 time: 0.8549 data_time: 0.0247 memory: 19726 grad_norm: 4.8070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 2.3599 loss: 2.3599 2022/08/08 17:41:15 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 1.5500e-02 eta: 23:02:53 time: 0.8515 data_time: 0.0182 memory: 19726 grad_norm: 4.6208 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3676 loss: 2.3676 2022/08/08 17:41:32 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 1.5500e-02 eta: 23:02:08 time: 0.8479 data_time: 0.0206 memory: 19726 grad_norm: 4.8096 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2511 loss: 2.2511 2022/08/08 17:41:49 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 1.5500e-02 eta: 23:01:23 time: 0.8501 data_time: 0.0171 memory: 19726 grad_norm: 4.8773 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2908 loss: 2.2908 2022/08/08 17:42:06 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 1.5500e-02 eta: 23:00:39 time: 0.8505 data_time: 0.0183 memory: 19726 grad_norm: 4.7833 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3960 loss: 2.3960 2022/08/08 17:42:23 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 1.5500e-02 eta: 22:59:54 time: 0.8476 data_time: 0.0191 memory: 19726 grad_norm: 4.8742 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3073 loss: 2.3073 2022/08/08 17:42:40 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 1.5500e-02 eta: 22:59:09 time: 0.8471 data_time: 0.0175 memory: 19726 grad_norm: 4.7966 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2323 loss: 2.2323 2022/08/08 17:42:57 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 1.5500e-02 eta: 22:58:24 time: 0.8480 data_time: 0.0180 memory: 19726 grad_norm: 4.6505 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2652 loss: 2.2652 2022/08/08 17:43:14 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 1.5500e-02 eta: 22:57:39 time: 0.8457 data_time: 0.0175 memory: 19726 grad_norm: 4.7670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1856 loss: 2.1856 2022/08/08 17:43:31 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 1.5500e-02 eta: 22:56:56 time: 0.8498 data_time: 0.0172 memory: 19726 grad_norm: 4.8535 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2912 loss: 2.2912 2022/08/08 17:43:48 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 1.5500e-02 eta: 22:56:12 time: 0.8506 data_time: 0.0178 memory: 19726 grad_norm: 4.7506 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2559 loss: 2.2559 2022/08/08 17:44:05 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 1.5500e-02 eta: 22:55:28 time: 0.8450 data_time: 0.0170 memory: 19726 grad_norm: 4.9368 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1821 loss: 2.1821 2022/08/08 17:44:22 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 1.5500e-02 eta: 22:54:44 time: 0.8503 data_time: 0.0177 memory: 19726 grad_norm: 4.7017 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1934 loss: 2.1934 2022/08/08 17:44:39 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 1.5500e-02 eta: 22:54:02 time: 0.8517 data_time: 0.0205 memory: 19726 grad_norm: 4.8087 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3013 loss: 2.3013 2022/08/08 17:44:56 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 1.5500e-02 eta: 22:53:18 time: 0.8456 data_time: 0.0165 memory: 19726 grad_norm: 4.6448 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0132 loss: 2.0132 2022/08/08 17:45:13 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 1.5500e-02 eta: 22:52:34 time: 0.8483 data_time: 0.0185 memory: 19726 grad_norm: 4.7915 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1992 loss: 2.1992 2022/08/08 17:45:31 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 1.5500e-02 eta: 22:51:57 time: 0.8740 data_time: 0.0236 memory: 19726 grad_norm: 4.6938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1333 loss: 2.1333 2022/08/08 17:45:48 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 1.5500e-02 eta: 22:51:16 time: 0.8544 data_time: 0.0181 memory: 19726 grad_norm: 4.7134 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3489 loss: 2.3489 2022/08/08 17:46:05 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 1.5500e-02 eta: 22:50:32 time: 0.8461 data_time: 0.0184 memory: 19726 grad_norm: 4.7911 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3209 loss: 2.3209 2022/08/08 17:46:22 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 1.5500e-02 eta: 22:49:50 time: 0.8508 data_time: 0.0176 memory: 19726 grad_norm: 4.8051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2712 loss: 2.2712 2022/08/08 17:46:39 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 1.5500e-02 eta: 22:49:07 time: 0.8464 data_time: 0.0173 memory: 19726 grad_norm: 4.7753 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3564 loss: 2.3564 2022/08/08 17:46:55 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 1.5500e-02 eta: 22:48:23 time: 0.8433 data_time: 0.0168 memory: 19726 grad_norm: 4.5855 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.0063 loss: 2.0063 2022/08/08 17:47:11 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 17:47:11 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 1.5500e-02 eta: 22:48:23 time: 0.8210 data_time: 0.0167 memory: 19726 grad_norm: 4.6457 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.9523 loss: 1.9523 2022/08/08 17:47:25 - mmengine - INFO - Epoch(val) [4][20/155] eta: 0:01:31 time: 0.6775 data_time: 0.4356 memory: 2699 2022/08/08 17:47:34 - mmengine - INFO - Epoch(val) [4][40/155] eta: 0:00:55 time: 0.4859 data_time: 0.2461 memory: 2699 2022/08/08 17:47:47 - mmengine - INFO - Epoch(val) [4][60/155] eta: 0:00:59 time: 0.6230 data_time: 0.3853 memory: 2699 2022/08/08 17:47:57 - mmengine - INFO - Epoch(val) [4][80/155] eta: 0:00:37 time: 0.5060 data_time: 0.2665 memory: 2699 2022/08/08 17:48:09 - mmengine - INFO - Epoch(val) [4][100/155] eta: 0:00:32 time: 0.5929 data_time: 0.3536 memory: 2699 2022/08/08 17:48:20 - mmengine - INFO - Epoch(val) [4][120/155] eta: 0:00:18 time: 0.5372 data_time: 0.2971 memory: 2699 2022/08/08 17:48:33 - mmengine - INFO - Epoch(val) [4][140/155] eta: 0:00:09 time: 0.6632 data_time: 0.4248 memory: 2699 2022/08/08 17:48:40 - mmengine - INFO - Epoch(val) [4][155/155] acc/top1: 0.4991 acc/top5: 0.7641 acc/mean1: 0.4991 2022/08/08 17:48:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/08/08 17:48:42 - mmengine - INFO - The best checkpoint with 0.4991 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/08/08 17:49:03 - mmengine - INFO - Epoch(train) [5][20/1879] lr: 2.0000e-02 eta: 22:44:44 time: 1.0568 data_time: 0.2208 memory: 19726 grad_norm: 4.8538 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2182 loss: 2.2182 2022/08/08 17:49:20 - mmengine - INFO - Epoch(train) [5][40/1879] lr: 2.0000e-02 eta: 22:44:03 time: 0.8532 data_time: 0.0170 memory: 19726 grad_norm: 4.7458 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2273 loss: 2.2273 2022/08/08 17:49:37 - mmengine - INFO - Epoch(train) [5][60/1879] lr: 2.0000e-02 eta: 22:43:21 time: 0.8440 data_time: 0.0184 memory: 19726 grad_norm: 4.8054 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1430 loss: 2.1430 2022/08/08 17:49:54 - mmengine - INFO - Epoch(train) [5][80/1879] lr: 2.0000e-02 eta: 22:42:39 time: 0.8463 data_time: 0.0206 memory: 19726 grad_norm: 4.7958 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2451 loss: 2.2451 2022/08/08 17:50:11 - mmengine - INFO - Epoch(train) [5][100/1879] lr: 2.0000e-02 eta: 22:42:01 time: 0.8631 data_time: 0.0198 memory: 19726 grad_norm: 4.8297 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4092 loss: 2.4092 2022/08/08 17:50:28 - mmengine - INFO - Epoch(train) [5][120/1879] lr: 2.0000e-02 eta: 22:41:21 time: 0.8526 data_time: 0.0219 memory: 19726 grad_norm: 4.7393 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2098 loss: 2.2098 2022/08/08 17:50:45 - mmengine - INFO - Epoch(train) [5][140/1879] lr: 2.0000e-02 eta: 22:40:39 time: 0.8458 data_time: 0.0173 memory: 19726 grad_norm: 4.7347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2132 loss: 2.2132 2022/08/08 17:51:02 - mmengine - INFO - Epoch(train) [5][160/1879] lr: 2.0000e-02 eta: 22:39:59 time: 0.8514 data_time: 0.0178 memory: 19726 grad_norm: 4.5951 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.2331 loss: 2.2331 2022/08/08 17:51:19 - mmengine - INFO - Epoch(train) [5][180/1879] lr: 2.0000e-02 eta: 22:39:18 time: 0.8454 data_time: 0.0175 memory: 19726 grad_norm: 4.5892 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4851 loss: 2.4851 2022/08/08 17:51:36 - mmengine - INFO - Epoch(train) [5][200/1879] lr: 2.0000e-02 eta: 22:38:38 time: 0.8501 data_time: 0.0179 memory: 19726 grad_norm: 4.5100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.2781 loss: 2.2781 2022/08/08 17:51:53 - mmengine - INFO - Epoch(train) [5][220/1879] lr: 2.0000e-02 eta: 22:37:58 time: 0.8540 data_time: 0.0196 memory: 19726 grad_norm: 4.7348 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3039 loss: 2.3039 2022/08/08 17:52:10 - mmengine - INFO - Epoch(train) [5][240/1879] lr: 2.0000e-02 eta: 22:37:17 time: 0.8459 data_time: 0.0180 memory: 19726 grad_norm: 4.6684 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.2845 loss: 2.2845 2022/08/08 17:52:27 - mmengine - INFO - Epoch(train) [5][260/1879] lr: 2.0000e-02 eta: 22:36:37 time: 0.8487 data_time: 0.0173 memory: 19726 grad_norm: 4.4645 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1948 loss: 2.1948 2022/08/08 17:52:44 - mmengine - INFO - Epoch(train) [5][280/1879] lr: 2.0000e-02 eta: 22:35:57 time: 0.8495 data_time: 0.0173 memory: 19726 grad_norm: 4.6632 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.1024 loss: 2.1024 2022/08/08 17:53:01 - mmengine - INFO - Epoch(train) [5][300/1879] lr: 2.0000e-02 eta: 22:35:17 time: 0.8484 data_time: 0.0183 memory: 19726 grad_norm: 4.6061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2571 loss: 2.2571 2022/08/08 17:53:18 - mmengine - INFO - Epoch(train) [5][320/1879] lr: 2.0000e-02 eta: 22:34:39 time: 0.8559 data_time: 0.0196 memory: 19726 grad_norm: 4.6543 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0871 loss: 2.0871 2022/08/08 17:53:35 - mmengine - INFO - Epoch(train) [5][340/1879] lr: 2.0000e-02 eta: 22:33:59 time: 0.8466 data_time: 0.0180 memory: 19726 grad_norm: 4.6727 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3220 loss: 2.3220 2022/08/08 17:53:52 - mmengine - INFO - Epoch(train) [5][360/1879] lr: 2.0000e-02 eta: 22:33:19 time: 0.8490 data_time: 0.0188 memory: 19726 grad_norm: 4.6013 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3564 loss: 2.3564 2022/08/08 17:54:09 - mmengine - INFO - Epoch(train) [5][380/1879] lr: 2.0000e-02 eta: 22:32:41 time: 0.8538 data_time: 0.0185 memory: 19726 grad_norm: 4.5122 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3786 loss: 2.3786 2022/08/08 17:54:26 - mmengine - INFO - Epoch(train) [5][400/1879] lr: 2.0000e-02 eta: 22:32:00 time: 0.8413 data_time: 0.0171 memory: 19726 grad_norm: 4.5211 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4617 loss: 2.4617 2022/08/08 17:54:43 - mmengine - INFO - Epoch(train) [5][420/1879] lr: 2.0000e-02 eta: 22:31:19 time: 0.8434 data_time: 0.0183 memory: 19726 grad_norm: 4.5212 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1897 loss: 2.1897 2022/08/08 17:55:00 - mmengine - INFO - Epoch(train) [5][440/1879] lr: 2.0000e-02 eta: 22:30:40 time: 0.8496 data_time: 0.0195 memory: 19726 grad_norm: 4.6233 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3655 loss: 2.3655 2022/08/08 17:55:17 - mmengine - INFO - Epoch(train) [5][460/1879] lr: 2.0000e-02 eta: 22:30:06 time: 0.8710 data_time: 0.0245 memory: 19726 grad_norm: 4.6410 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4316 loss: 2.4316 2022/08/08 17:55:34 - mmengine - INFO - Epoch(train) [5][480/1879] lr: 2.0000e-02 eta: 22:29:28 time: 0.8546 data_time: 0.0260 memory: 19726 grad_norm: 4.4279 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.4283 loss: 2.4283 2022/08/08 17:55:38 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 17:55:51 - mmengine - INFO - Epoch(train) [5][500/1879] lr: 2.0000e-02 eta: 22:28:49 time: 0.8439 data_time: 0.0185 memory: 19726 grad_norm: 4.5181 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8817 loss: 1.8817 2022/08/08 17:56:08 - mmengine - INFO - Epoch(train) [5][520/1879] lr: 2.0000e-02 eta: 22:28:11 time: 0.8535 data_time: 0.0184 memory: 19726 grad_norm: 4.5736 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0615 loss: 2.0615 2022/08/08 17:56:25 - mmengine - INFO - Epoch(train) [5][540/1879] lr: 2.0000e-02 eta: 22:27:32 time: 0.8497 data_time: 0.0176 memory: 19726 grad_norm: 4.4896 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2455 loss: 2.2455 2022/08/08 17:56:42 - mmengine - INFO - Epoch(train) [5][560/1879] lr: 2.0000e-02 eta: 22:26:53 time: 0.8428 data_time: 0.0183 memory: 19726 grad_norm: 4.6622 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0737 loss: 2.0737 2022/08/08 17:56:59 - mmengine - INFO - Epoch(train) [5][580/1879] lr: 2.0000e-02 eta: 22:26:15 time: 0.8501 data_time: 0.0190 memory: 19726 grad_norm: 4.5288 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3049 loss: 2.3049 2022/08/08 17:57:16 - mmengine - INFO - Epoch(train) [5][600/1879] lr: 2.0000e-02 eta: 22:25:36 time: 0.8490 data_time: 0.0183 memory: 19726 grad_norm: 4.5252 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4738 loss: 2.4738 2022/08/08 17:57:33 - mmengine - INFO - Epoch(train) [5][620/1879] lr: 2.0000e-02 eta: 22:24:57 time: 0.8446 data_time: 0.0190 memory: 19726 grad_norm: 4.5198 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4815 loss: 2.4815 2022/08/08 17:57:50 - mmengine - INFO - Epoch(train) [5][640/1879] lr: 2.0000e-02 eta: 22:24:24 time: 0.8694 data_time: 0.0184 memory: 19726 grad_norm: 4.5472 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.6080 loss: 2.6080 2022/08/08 17:58:07 - mmengine - INFO - Epoch(train) [5][660/1879] lr: 2.0000e-02 eta: 22:23:45 time: 0.8449 data_time: 0.0178 memory: 19726 grad_norm: 4.5478 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4058 loss: 2.4058 2022/08/08 17:58:24 - mmengine - INFO - Epoch(train) [5][680/1879] lr: 2.0000e-02 eta: 22:23:06 time: 0.8443 data_time: 0.0171 memory: 19726 grad_norm: 4.4147 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3146 loss: 2.3146 2022/08/08 17:58:41 - mmengine - INFO - Epoch(train) [5][700/1879] lr: 2.0000e-02 eta: 22:22:28 time: 0.8468 data_time: 0.0174 memory: 19726 grad_norm: 4.4177 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1935 loss: 2.1935 2022/08/08 17:58:58 - mmengine - INFO - Epoch(train) [5][720/1879] lr: 2.0000e-02 eta: 22:21:50 time: 0.8477 data_time: 0.0187 memory: 19726 grad_norm: 4.3763 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1824 loss: 2.1824 2022/08/08 17:59:15 - mmengine - INFO - Epoch(train) [5][740/1879] lr: 2.0000e-02 eta: 22:21:12 time: 0.8486 data_time: 0.0192 memory: 19726 grad_norm: 4.4530 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3927 loss: 2.3927 2022/08/08 17:59:32 - mmengine - INFO - Epoch(train) [5][760/1879] lr: 2.0000e-02 eta: 22:20:35 time: 0.8509 data_time: 0.0184 memory: 19726 grad_norm: 4.4248 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3508 loss: 2.3508 2022/08/08 17:59:49 - mmengine - INFO - Epoch(train) [5][780/1879] lr: 2.0000e-02 eta: 22:19:57 time: 0.8474 data_time: 0.0186 memory: 19726 grad_norm: 4.3182 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0706 loss: 2.0706 2022/08/08 18:00:08 - mmengine - INFO - Epoch(train) [5][800/1879] lr: 2.0000e-02 eta: 22:19:35 time: 0.9220 data_time: 0.0221 memory: 19726 grad_norm: 4.4723 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1691 loss: 2.1691 2022/08/08 18:00:25 - mmengine - INFO - Epoch(train) [5][820/1879] lr: 2.0000e-02 eta: 22:18:59 time: 0.8556 data_time: 0.0184 memory: 19726 grad_norm: 4.4573 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2304 loss: 2.2304 2022/08/08 18:00:42 - mmengine - INFO - Epoch(train) [5][840/1879] lr: 2.0000e-02 eta: 22:18:23 time: 0.8542 data_time: 0.0176 memory: 19726 grad_norm: 4.4084 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2339 loss: 2.2339 2022/08/08 18:00:59 - mmengine - INFO - Epoch(train) [5][860/1879] lr: 2.0000e-02 eta: 22:17:47 time: 0.8502 data_time: 0.0180 memory: 19726 grad_norm: 4.4244 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1784 loss: 2.1784 2022/08/08 18:01:16 - mmengine - INFO - Epoch(train) [5][880/1879] lr: 2.0000e-02 eta: 22:17:09 time: 0.8473 data_time: 0.0171 memory: 19726 grad_norm: 4.4099 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.3012 loss: 2.3012 2022/08/08 18:01:33 - mmengine - INFO - Epoch(train) [5][900/1879] lr: 2.0000e-02 eta: 22:16:32 time: 0.8478 data_time: 0.0178 memory: 19726 grad_norm: 4.4905 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1607 loss: 2.1607 2022/08/08 18:01:50 - mmengine - INFO - Epoch(train) [5][920/1879] lr: 2.0000e-02 eta: 22:15:58 time: 0.8612 data_time: 0.0188 memory: 19726 grad_norm: 4.3852 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.1124 loss: 2.1124 2022/08/08 18:02:07 - mmengine - INFO - Epoch(train) [5][940/1879] lr: 2.0000e-02 eta: 22:15:22 time: 0.8492 data_time: 0.0187 memory: 19726 grad_norm: 4.3310 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0977 loss: 2.0977 2022/08/08 18:02:24 - mmengine - INFO - Epoch(train) [5][960/1879] lr: 2.0000e-02 eta: 22:14:46 time: 0.8556 data_time: 0.0179 memory: 19726 grad_norm: 4.3878 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4048 loss: 2.4048 2022/08/08 18:02:41 - mmengine - INFO - Epoch(train) [5][980/1879] lr: 2.0000e-02 eta: 22:14:10 time: 0.8491 data_time: 0.0182 memory: 19726 grad_norm: 4.4017 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1513 loss: 2.1513 2022/08/08 18:02:58 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 2.0000e-02 eta: 22:13:35 time: 0.8562 data_time: 0.0171 memory: 19726 grad_norm: 4.4367 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3143 loss: 2.3143 2022/08/08 18:03:15 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 2.0000e-02 eta: 22:12:59 time: 0.8480 data_time: 0.0173 memory: 19726 grad_norm: 4.3517 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0263 loss: 2.0263 2022/08/08 18:03:32 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 2.0000e-02 eta: 22:12:22 time: 0.8481 data_time: 0.0174 memory: 19726 grad_norm: 4.3466 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2074 loss: 2.2074 2022/08/08 18:03:49 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 2.0000e-02 eta: 22:11:47 time: 0.8536 data_time: 0.0189 memory: 19726 grad_norm: 4.4135 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2095 loss: 2.2095 2022/08/08 18:04:06 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 2.0000e-02 eta: 22:11:12 time: 0.8517 data_time: 0.0170 memory: 19726 grad_norm: 4.2367 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2625 loss: 2.2625 2022/08/08 18:04:23 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 2.0000e-02 eta: 22:10:35 time: 0.8470 data_time: 0.0179 memory: 19726 grad_norm: 4.4430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2158 loss: 2.2158 2022/08/08 18:04:40 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 2.0000e-02 eta: 22:10:01 time: 0.8573 data_time: 0.0187 memory: 19726 grad_norm: 4.3651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2501 loss: 2.2501 2022/08/08 18:04:57 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 2.0000e-02 eta: 22:09:25 time: 0.8449 data_time: 0.0175 memory: 19726 grad_norm: 4.3872 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3122 loss: 2.3122 2022/08/08 18:05:14 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 2.0000e-02 eta: 22:08:52 time: 0.8618 data_time: 0.0213 memory: 19726 grad_norm: 4.3182 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.2071 loss: 2.2071 2022/08/08 18:05:31 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 2.0000e-02 eta: 22:08:16 time: 0.8473 data_time: 0.0181 memory: 19726 grad_norm: 4.2633 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1929 loss: 2.1929 2022/08/08 18:05:48 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 2.0000e-02 eta: 22:07:40 time: 0.8487 data_time: 0.0189 memory: 19726 grad_norm: 4.2704 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1441 loss: 2.1441 2022/08/08 18:06:05 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 2.0000e-02 eta: 22:07:04 time: 0.8463 data_time: 0.0186 memory: 19726 grad_norm: 4.2466 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2818 loss: 2.2818 2022/08/08 18:06:22 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 2.0000e-02 eta: 22:06:29 time: 0.8491 data_time: 0.0175 memory: 19726 grad_norm: 4.4138 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1973 loss: 2.1973 2022/08/08 18:06:39 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 2.0000e-02 eta: 22:05:54 time: 0.8493 data_time: 0.0177 memory: 19726 grad_norm: 4.3088 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2713 loss: 2.2713 2022/08/08 18:06:56 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 2.0000e-02 eta: 22:05:18 time: 0.8459 data_time: 0.0191 memory: 19726 grad_norm: 4.1603 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1036 loss: 2.1036 2022/08/08 18:07:13 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 2.0000e-02 eta: 22:04:42 time: 0.8464 data_time: 0.0183 memory: 19726 grad_norm: 4.3568 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2207 loss: 2.2207 2022/08/08 18:07:30 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 2.0000e-02 eta: 22:04:06 time: 0.8435 data_time: 0.0183 memory: 19726 grad_norm: 4.3330 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3797 loss: 2.3797 2022/08/08 18:07:47 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 2.0000e-02 eta: 22:03:32 time: 0.8524 data_time: 0.0181 memory: 19726 grad_norm: 4.3011 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2321 loss: 2.2321 2022/08/08 18:08:04 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 2.0000e-02 eta: 22:02:59 time: 0.8561 data_time: 0.0290 memory: 19726 grad_norm: 4.3410 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1201 loss: 2.1201 2022/08/08 18:08:21 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 2.0000e-02 eta: 22:02:25 time: 0.8541 data_time: 0.0186 memory: 19726 grad_norm: 4.2036 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0714 loss: 2.0714 2022/08/08 18:08:38 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 2.0000e-02 eta: 22:01:50 time: 0.8462 data_time: 0.0177 memory: 19726 grad_norm: 4.2898 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3096 loss: 2.3096 2022/08/08 18:08:55 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 2.0000e-02 eta: 22:01:15 time: 0.8470 data_time: 0.0181 memory: 19726 grad_norm: 4.2306 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3223 loss: 2.3223 2022/08/08 18:09:12 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 2.0000e-02 eta: 22:00:40 time: 0.8465 data_time: 0.0182 memory: 19726 grad_norm: 4.3467 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1697 loss: 2.1697 2022/08/08 18:09:29 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 2.0000e-02 eta: 22:00:06 time: 0.8497 data_time: 0.0184 memory: 19726 grad_norm: 4.2545 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0921 loss: 2.0921 2022/08/08 18:09:46 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 2.0000e-02 eta: 21:59:32 time: 0.8549 data_time: 0.0276 memory: 19726 grad_norm: 4.3867 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4566 loss: 2.4566 2022/08/08 18:09:50 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 18:10:03 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 2.0000e-02 eta: 21:58:59 time: 0.8541 data_time: 0.0240 memory: 19726 grad_norm: 4.2820 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3003 loss: 2.3003 2022/08/08 18:10:20 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 2.0000e-02 eta: 21:58:25 time: 0.8483 data_time: 0.0202 memory: 19726 grad_norm: 4.3324 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2948 loss: 2.2948 2022/08/08 18:10:37 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 2.0000e-02 eta: 21:57:49 time: 0.8426 data_time: 0.0177 memory: 19726 grad_norm: 4.2274 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.1372 loss: 2.1372 2022/08/08 18:10:54 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 2.0000e-02 eta: 21:57:16 time: 0.8514 data_time: 0.0180 memory: 19726 grad_norm: 4.2533 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1453 loss: 2.1453 2022/08/08 18:11:11 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 2.0000e-02 eta: 21:56:42 time: 0.8503 data_time: 0.0193 memory: 19726 grad_norm: 4.1977 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1430 loss: 2.1430 2022/08/08 18:11:28 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 2.0000e-02 eta: 21:56:08 time: 0.8457 data_time: 0.0191 memory: 19726 grad_norm: 4.1866 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1651 loss: 2.1651 2022/08/08 18:11:45 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 2.0000e-02 eta: 21:55:35 time: 0.8553 data_time: 0.0174 memory: 19726 grad_norm: 4.1195 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3555 loss: 2.3555 2022/08/08 18:12:02 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 2.0000e-02 eta: 21:55:01 time: 0.8460 data_time: 0.0185 memory: 19726 grad_norm: 4.1029 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1608 loss: 2.1608 2022/08/08 18:12:19 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 2.0000e-02 eta: 21:54:27 time: 0.8498 data_time: 0.0167 memory: 19726 grad_norm: 4.2506 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1865 loss: 2.1865 2022/08/08 18:12:36 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 2.0000e-02 eta: 21:53:52 time: 0.8426 data_time: 0.0173 memory: 19726 grad_norm: 4.3477 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2063 loss: 2.2063 2022/08/08 18:12:53 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 2.0000e-02 eta: 21:53:20 time: 0.8532 data_time: 0.0180 memory: 19726 grad_norm: 4.1926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1923 loss: 2.1923 2022/08/08 18:13:10 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 2.0000e-02 eta: 21:52:46 time: 0.8501 data_time: 0.0199 memory: 19726 grad_norm: 4.1369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1645 loss: 2.1645 2022/08/08 18:13:27 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 2.0000e-02 eta: 21:52:14 time: 0.8552 data_time: 0.0202 memory: 19726 grad_norm: 4.2269 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3084 loss: 2.3084 2022/08/08 18:13:44 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 2.0000e-02 eta: 21:51:40 time: 0.8431 data_time: 0.0181 memory: 19726 grad_norm: 4.1912 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0381 loss: 2.0381 2022/08/08 18:14:01 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 2.0000e-02 eta: 21:51:07 time: 0.8524 data_time: 0.0184 memory: 19726 grad_norm: 4.1728 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0623 loss: 2.0623 2022/08/08 18:14:18 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 2.0000e-02 eta: 21:50:33 time: 0.8424 data_time: 0.0170 memory: 19726 grad_norm: 4.1636 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1533 loss: 2.1533 2022/08/08 18:14:35 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 2.0000e-02 eta: 21:49:59 time: 0.8466 data_time: 0.0180 memory: 19726 grad_norm: 4.0952 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9747 loss: 1.9747 2022/08/08 18:14:52 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 2.0000e-02 eta: 21:49:26 time: 0.8472 data_time: 0.0201 memory: 19726 grad_norm: 4.1646 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0736 loss: 2.0736 2022/08/08 18:15:09 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 2.0000e-02 eta: 21:48:53 time: 0.8511 data_time: 0.0193 memory: 19726 grad_norm: 4.2697 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3702 loss: 2.3702 2022/08/08 18:15:24 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 18:15:24 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 2.0000e-02 eta: 21:48:53 time: 0.8292 data_time: 0.0227 memory: 19726 grad_norm: 4.4515 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.3744 loss: 2.3744 2022/08/08 18:15:38 - mmengine - INFO - Epoch(val) [5][20/155] eta: 0:01:33 time: 0.6892 data_time: 0.4490 memory: 2699 2022/08/08 18:15:48 - mmengine - INFO - Epoch(val) [5][40/155] eta: 0:00:54 time: 0.4705 data_time: 0.2303 memory: 2699 2022/08/08 18:16:00 - mmengine - INFO - Epoch(val) [5][60/155] eta: 0:00:57 time: 0.6012 data_time: 0.3623 memory: 2699 2022/08/08 18:16:09 - mmengine - INFO - Epoch(val) [5][80/155] eta: 0:00:35 time: 0.4751 data_time: 0.2367 memory: 2699 2022/08/08 18:16:20 - mmengine - INFO - Epoch(val) [5][100/155] eta: 0:00:31 time: 0.5699 data_time: 0.3313 memory: 2699 2022/08/08 18:16:31 - mmengine - INFO - Epoch(val) [5][120/155] eta: 0:00:17 time: 0.5084 data_time: 0.2699 memory: 2699 2022/08/08 18:16:44 - mmengine - INFO - Epoch(val) [5][140/155] eta: 0:00:09 time: 0.6472 data_time: 0.4076 memory: 2699 2022/08/08 18:16:55 - mmengine - INFO - Epoch(val) [5][155/155] acc/top1: 0.5128 acc/top5: 0.7740 acc/mean1: 0.5124 2022/08/08 18:16:55 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_5.pth is removed 2022/08/08 18:16:57 - mmengine - INFO - The best checkpoint with 0.5128 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/08 18:17:18 - mmengine - INFO - Epoch(train) [6][20/1879] lr: 2.0000e-02 eta: 21:46:01 time: 1.0538 data_time: 0.2131 memory: 19726 grad_norm: 4.1170 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2308 loss: 2.2308 2022/08/08 18:17:35 - mmengine - INFO - Epoch(train) [6][40/1879] lr: 2.0000e-02 eta: 21:45:28 time: 0.8476 data_time: 0.0182 memory: 19726 grad_norm: 4.1415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9266 loss: 1.9266 2022/08/08 18:17:52 - mmengine - INFO - Epoch(train) [6][60/1879] lr: 2.0000e-02 eta: 21:44:55 time: 0.8464 data_time: 0.0186 memory: 19726 grad_norm: 4.2282 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1206 loss: 2.1206 2022/08/08 18:18:09 - mmengine - INFO - Epoch(train) [6][80/1879] lr: 2.0000e-02 eta: 21:44:22 time: 0.8416 data_time: 0.0169 memory: 19726 grad_norm: 4.2665 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8330 loss: 1.8330 2022/08/08 18:18:26 - mmengine - INFO - Epoch(train) [6][100/1879] lr: 2.0000e-02 eta: 21:43:49 time: 0.8458 data_time: 0.0181 memory: 19726 grad_norm: 4.3366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8474 loss: 1.8474 2022/08/08 18:18:43 - mmengine - INFO - Epoch(train) [6][120/1879] lr: 2.0000e-02 eta: 21:43:16 time: 0.8483 data_time: 0.0190 memory: 19726 grad_norm: 4.2190 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9764 loss: 1.9764 2022/08/08 18:19:00 - mmengine - INFO - Epoch(train) [6][140/1879] lr: 2.0000e-02 eta: 21:42:45 time: 0.8517 data_time: 0.0175 memory: 19726 grad_norm: 4.1269 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8037 loss: 1.8037 2022/08/08 18:19:17 - mmengine - INFO - Epoch(train) [6][160/1879] lr: 2.0000e-02 eta: 21:42:13 time: 0.8519 data_time: 0.0193 memory: 19726 grad_norm: 4.1890 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0556 loss: 2.0556 2022/08/08 18:19:34 - mmengine - INFO - Epoch(train) [6][180/1879] lr: 2.0000e-02 eta: 21:41:40 time: 0.8445 data_time: 0.0181 memory: 19726 grad_norm: 4.1802 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8638 loss: 1.8638 2022/08/08 18:19:51 - mmengine - INFO - Epoch(train) [6][200/1879] lr: 2.0000e-02 eta: 21:41:08 time: 0.8493 data_time: 0.0180 memory: 19726 grad_norm: 4.2389 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9260 loss: 1.9260 2022/08/08 18:20:08 - mmengine - INFO - Epoch(train) [6][220/1879] lr: 2.0000e-02 eta: 21:40:37 time: 0.8510 data_time: 0.0181 memory: 19726 grad_norm: 4.2455 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9683 loss: 1.9683 2022/08/08 18:20:25 - mmengine - INFO - Epoch(train) [6][240/1879] lr: 2.0000e-02 eta: 21:40:06 time: 0.8564 data_time: 0.0203 memory: 19726 grad_norm: 4.1285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9083 loss: 1.9083 2022/08/08 18:20:42 - mmengine - INFO - Epoch(train) [6][260/1879] lr: 2.0000e-02 eta: 21:39:35 time: 0.8527 data_time: 0.0180 memory: 19726 grad_norm: 4.1189 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0190 loss: 2.0190 2022/08/08 18:20:59 - mmengine - INFO - Epoch(train) [6][280/1879] lr: 2.0000e-02 eta: 21:39:03 time: 0.8471 data_time: 0.0183 memory: 19726 grad_norm: 4.0635 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9137 loss: 1.9137 2022/08/08 18:21:16 - mmengine - INFO - Epoch(train) [6][300/1879] lr: 2.0000e-02 eta: 21:38:32 time: 0.8515 data_time: 0.0175 memory: 19726 grad_norm: 4.2925 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1860 loss: 2.1860 2022/08/08 18:21:33 - mmengine - INFO - Epoch(train) [6][320/1879] lr: 2.0000e-02 eta: 21:38:00 time: 0.8503 data_time: 0.0206 memory: 19726 grad_norm: 4.1467 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1894 loss: 2.1894 2022/08/08 18:21:50 - mmengine - INFO - Epoch(train) [6][340/1879] lr: 2.0000e-02 eta: 21:37:28 time: 0.8425 data_time: 0.0179 memory: 19726 grad_norm: 4.1493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2945 loss: 2.2945 2022/08/08 18:22:07 - mmengine - INFO - Epoch(train) [6][360/1879] lr: 2.0000e-02 eta: 21:36:56 time: 0.8496 data_time: 0.0179 memory: 19726 grad_norm: 4.2329 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9627 loss: 1.9627 2022/08/08 18:22:24 - mmengine - INFO - Epoch(train) [6][380/1879] lr: 2.0000e-02 eta: 21:36:25 time: 0.8513 data_time: 0.0195 memory: 19726 grad_norm: 4.1059 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8806 loss: 1.8806 2022/08/08 18:22:40 - mmengine - INFO - Epoch(train) [6][400/1879] lr: 2.0000e-02 eta: 21:35:53 time: 0.8441 data_time: 0.0189 memory: 19726 grad_norm: 4.2071 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1201 loss: 2.1201 2022/08/08 18:22:57 - mmengine - INFO - Epoch(train) [6][420/1879] lr: 2.0000e-02 eta: 21:35:21 time: 0.8431 data_time: 0.0177 memory: 19726 grad_norm: 4.2026 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0996 loss: 2.0996 2022/08/08 18:23:14 - mmengine - INFO - Epoch(train) [6][440/1879] lr: 2.0000e-02 eta: 21:34:50 time: 0.8526 data_time: 0.0186 memory: 19726 grad_norm: 4.1521 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9841 loss: 1.9841 2022/08/08 18:23:31 - mmengine - INFO - Epoch(train) [6][460/1879] lr: 2.0000e-02 eta: 21:34:18 time: 0.8471 data_time: 0.0190 memory: 19726 grad_norm: 4.2358 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1127 loss: 2.1127 2022/08/08 18:23:48 - mmengine - INFO - Epoch(train) [6][480/1879] lr: 2.0000e-02 eta: 21:33:47 time: 0.8448 data_time: 0.0179 memory: 19726 grad_norm: 4.0631 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1706 loss: 2.1706 2022/08/08 18:24:05 - mmengine - INFO - Epoch(train) [6][500/1879] lr: 2.0000e-02 eta: 21:33:15 time: 0.8446 data_time: 0.0182 memory: 19726 grad_norm: 4.1443 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0278 loss: 2.0278 2022/08/08 18:24:22 - mmengine - INFO - Epoch(train) [6][520/1879] lr: 2.0000e-02 eta: 21:32:44 time: 0.8522 data_time: 0.0186 memory: 19726 grad_norm: 4.2015 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0529 loss: 2.0529 2022/08/08 18:24:39 - mmengine - INFO - Epoch(train) [6][540/1879] lr: 2.0000e-02 eta: 21:32:13 time: 0.8471 data_time: 0.0226 memory: 19726 grad_norm: 4.2139 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2605 loss: 2.2605 2022/08/08 18:24:56 - mmengine - INFO - Epoch(train) [6][560/1879] lr: 2.0000e-02 eta: 21:31:42 time: 0.8502 data_time: 0.0182 memory: 19726 grad_norm: 4.2382 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0875 loss: 2.0875 2022/08/08 18:25:13 - mmengine - INFO - Epoch(train) [6][580/1879] lr: 2.0000e-02 eta: 21:31:12 time: 0.8524 data_time: 0.0192 memory: 19726 grad_norm: 4.0790 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0161 loss: 2.0161 2022/08/08 18:25:30 - mmengine - INFO - Epoch(train) [6][600/1879] lr: 2.0000e-02 eta: 21:30:41 time: 0.8488 data_time: 0.0175 memory: 19726 grad_norm: 4.1011 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0120 loss: 2.0120 2022/08/08 18:25:34 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 18:25:47 - mmengine - INFO - Epoch(train) [6][620/1879] lr: 2.0000e-02 eta: 21:30:10 time: 0.8454 data_time: 0.0180 memory: 19726 grad_norm: 4.0534 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3277 loss: 2.3277 2022/08/08 18:26:04 - mmengine - INFO - Epoch(train) [6][640/1879] lr: 2.0000e-02 eta: 21:29:39 time: 0.8494 data_time: 0.0183 memory: 19726 grad_norm: 4.1228 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.3135 loss: 2.3135 2022/08/08 18:26:21 - mmengine - INFO - Epoch(train) [6][660/1879] lr: 2.0000e-02 eta: 21:29:09 time: 0.8501 data_time: 0.0204 memory: 19726 grad_norm: 4.2261 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0795 loss: 2.0795 2022/08/08 18:26:38 - mmengine - INFO - Epoch(train) [6][680/1879] lr: 2.0000e-02 eta: 21:28:38 time: 0.8459 data_time: 0.0181 memory: 19726 grad_norm: 4.0567 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7300 loss: 1.7300 2022/08/08 18:26:55 - mmengine - INFO - Epoch(train) [6][700/1879] lr: 2.0000e-02 eta: 21:28:08 time: 0.8563 data_time: 0.0247 memory: 19726 grad_norm: 4.1072 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0374 loss: 2.0374 2022/08/08 18:27:12 - mmengine - INFO - Epoch(train) [6][720/1879] lr: 2.0000e-02 eta: 21:27:38 time: 0.8516 data_time: 0.0191 memory: 19726 grad_norm: 4.1149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9107 loss: 1.9107 2022/08/08 18:27:29 - mmengine - INFO - Epoch(train) [6][740/1879] lr: 2.0000e-02 eta: 21:27:07 time: 0.8473 data_time: 0.0171 memory: 19726 grad_norm: 4.1093 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0314 loss: 2.0314 2022/08/08 18:27:46 - mmengine - INFO - Epoch(train) [6][760/1879] lr: 2.0000e-02 eta: 21:26:36 time: 0.8447 data_time: 0.0178 memory: 19726 grad_norm: 4.1586 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0163 loss: 2.0163 2022/08/08 18:28:03 - mmengine - INFO - Epoch(train) [6][780/1879] lr: 2.0000e-02 eta: 21:26:10 time: 0.8724 data_time: 0.0365 memory: 19726 grad_norm: 4.0696 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9100 loss: 1.9100 2022/08/08 18:28:20 - mmengine - INFO - Epoch(train) [6][800/1879] lr: 2.0000e-02 eta: 21:25:40 time: 0.8489 data_time: 0.0180 memory: 19726 grad_norm: 4.1619 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0225 loss: 2.0225 2022/08/08 18:28:37 - mmengine - INFO - Epoch(train) [6][820/1879] lr: 2.0000e-02 eta: 21:25:09 time: 0.8473 data_time: 0.0178 memory: 19726 grad_norm: 4.2401 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0651 loss: 2.0651 2022/08/08 18:28:54 - mmengine - INFO - Epoch(train) [6][840/1879] lr: 2.0000e-02 eta: 21:24:40 time: 0.8547 data_time: 0.0182 memory: 19726 grad_norm: 4.0834 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0748 loss: 2.0748 2022/08/08 18:29:11 - mmengine - INFO - Epoch(train) [6][860/1879] lr: 2.0000e-02 eta: 21:24:10 time: 0.8523 data_time: 0.0188 memory: 19726 grad_norm: 4.1137 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.0904 loss: 2.0904 2022/08/08 18:29:28 - mmengine - INFO - Epoch(train) [6][880/1879] lr: 2.0000e-02 eta: 21:23:40 time: 0.8481 data_time: 0.0185 memory: 19726 grad_norm: 4.1989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2083 loss: 2.2083 2022/08/08 18:29:45 - mmengine - INFO - Epoch(train) [6][900/1879] lr: 2.0000e-02 eta: 21:23:10 time: 0.8461 data_time: 0.0184 memory: 19726 grad_norm: 4.0208 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9424 loss: 1.9424 2022/08/08 18:30:02 - mmengine - INFO - Epoch(train) [6][920/1879] lr: 2.0000e-02 eta: 21:22:40 time: 0.8509 data_time: 0.0180 memory: 19726 grad_norm: 4.1108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0478 loss: 2.0478 2022/08/08 18:30:20 - mmengine - INFO - Epoch(train) [6][940/1879] lr: 2.0000e-02 eta: 21:22:11 time: 0.8567 data_time: 0.0195 memory: 19726 grad_norm: 4.1792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.8254 loss: 1.8254 2022/08/08 18:30:37 - mmengine - INFO - Epoch(train) [6][960/1879] lr: 2.0000e-02 eta: 21:21:42 time: 0.8513 data_time: 0.0171 memory: 19726 grad_norm: 4.1186 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1778 loss: 2.1778 2022/08/08 18:30:54 - mmengine - INFO - Epoch(train) [6][980/1879] lr: 2.0000e-02 eta: 21:21:12 time: 0.8513 data_time: 0.0178 memory: 19726 grad_norm: 4.3225 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0634 loss: 2.0634 2022/08/08 18:31:11 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 2.0000e-02 eta: 21:20:42 time: 0.8454 data_time: 0.0178 memory: 19726 grad_norm: 4.1077 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1310 loss: 2.1310 2022/08/08 18:31:28 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 2.0000e-02 eta: 21:20:12 time: 0.8500 data_time: 0.0189 memory: 19726 grad_norm: 4.0608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9294 loss: 1.9294 2022/08/08 18:31:45 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 2.0000e-02 eta: 21:19:45 time: 0.8639 data_time: 0.0341 memory: 19726 grad_norm: 4.0389 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1961 loss: 2.1961 2022/08/08 18:32:02 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 2.0000e-02 eta: 21:19:16 time: 0.8503 data_time: 0.0185 memory: 19726 grad_norm: 4.1173 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1675 loss: 2.1675 2022/08/08 18:32:19 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 2.0000e-02 eta: 21:18:46 time: 0.8501 data_time: 0.0179 memory: 19726 grad_norm: 4.0593 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1075 loss: 2.1075 2022/08/08 18:32:36 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 2.0000e-02 eta: 21:18:16 time: 0.8441 data_time: 0.0179 memory: 19726 grad_norm: 4.0692 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0189 loss: 2.0189 2022/08/08 18:32:53 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 2.0000e-02 eta: 21:17:47 time: 0.8538 data_time: 0.0187 memory: 19726 grad_norm: 4.1424 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2399 loss: 2.2399 2022/08/08 18:33:10 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 2.0000e-02 eta: 21:17:18 time: 0.8481 data_time: 0.0188 memory: 19726 grad_norm: 4.1495 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9194 loss: 1.9194 2022/08/08 18:33:27 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 2.0000e-02 eta: 21:16:48 time: 0.8465 data_time: 0.0190 memory: 19726 grad_norm: 3.9951 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8985 loss: 1.8985 2022/08/08 18:33:44 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 2.0000e-02 eta: 21:16:19 time: 0.8497 data_time: 0.0181 memory: 19726 grad_norm: 4.1699 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9343 loss: 1.9343 2022/08/08 18:34:01 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 2.0000e-02 eta: 21:15:49 time: 0.8475 data_time: 0.0172 memory: 19726 grad_norm: 4.1113 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8940 loss: 1.8940 2022/08/08 18:34:18 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 2.0000e-02 eta: 21:15:19 time: 0.8451 data_time: 0.0181 memory: 19726 grad_norm: 4.0100 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0595 loss: 2.0595 2022/08/08 18:34:35 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 2.0000e-02 eta: 21:14:51 time: 0.8532 data_time: 0.0172 memory: 19726 grad_norm: 4.1124 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0246 loss: 2.0246 2022/08/08 18:34:52 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 2.0000e-02 eta: 21:14:22 time: 0.8542 data_time: 0.0239 memory: 19726 grad_norm: 4.0820 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0416 loss: 2.0416 2022/08/08 18:35:09 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 2.0000e-02 eta: 21:13:54 time: 0.8528 data_time: 0.0181 memory: 19726 grad_norm: 4.1091 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2537 loss: 2.2537 2022/08/08 18:35:26 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 2.0000e-02 eta: 21:13:26 time: 0.8574 data_time: 0.0258 memory: 19726 grad_norm: 4.1552 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1087 loss: 2.1087 2022/08/08 18:35:43 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 2.0000e-02 eta: 21:12:57 time: 0.8520 data_time: 0.0195 memory: 19726 grad_norm: 4.0431 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1004 loss: 2.1004 2022/08/08 18:36:00 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 2.0000e-02 eta: 21:12:28 time: 0.8489 data_time: 0.0184 memory: 19726 grad_norm: 4.1492 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0104 loss: 2.0104 2022/08/08 18:36:17 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 2.0000e-02 eta: 21:11:59 time: 0.8496 data_time: 0.0183 memory: 19726 grad_norm: 4.0376 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9055 loss: 1.9055 2022/08/08 18:36:34 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 2.0000e-02 eta: 21:11:31 time: 0.8488 data_time: 0.0184 memory: 19726 grad_norm: 3.8766 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7894 loss: 1.7894 2022/08/08 18:36:51 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 2.0000e-02 eta: 21:11:02 time: 0.8537 data_time: 0.0183 memory: 19726 grad_norm: 4.0438 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4614 loss: 2.4614 2022/08/08 18:37:08 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 2.0000e-02 eta: 21:10:33 time: 0.8455 data_time: 0.0175 memory: 19726 grad_norm: 4.0021 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9848 loss: 1.9848 2022/08/08 18:37:25 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 2.0000e-02 eta: 21:10:04 time: 0.8496 data_time: 0.0182 memory: 19726 grad_norm: 4.1041 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9410 loss: 1.9410 2022/08/08 18:37:42 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 2.0000e-02 eta: 21:09:36 time: 0.8487 data_time: 0.0186 memory: 19726 grad_norm: 4.1884 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9123 loss: 1.9123 2022/08/08 18:37:59 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 2.0000e-02 eta: 21:09:08 time: 0.8580 data_time: 0.0240 memory: 19726 grad_norm: 4.0285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0870 loss: 2.0870 2022/08/08 18:38:16 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 2.0000e-02 eta: 21:08:42 time: 0.8611 data_time: 0.0190 memory: 19726 grad_norm: 3.8753 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.0762 loss: 2.0762 2022/08/08 18:38:33 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 2.0000e-02 eta: 21:08:13 time: 0.8527 data_time: 0.0192 memory: 19726 grad_norm: 4.0089 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9920 loss: 1.9920 2022/08/08 18:38:50 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 2.0000e-02 eta: 21:07:46 time: 0.8538 data_time: 0.0181 memory: 19726 grad_norm: 4.1606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0552 loss: 2.0552 2022/08/08 18:39:07 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 2.0000e-02 eta: 21:07:18 time: 0.8558 data_time: 0.0181 memory: 19726 grad_norm: 4.0036 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8860 loss: 1.8860 2022/08/08 18:39:24 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 2.0000e-02 eta: 21:06:50 time: 0.8483 data_time: 0.0185 memory: 19726 grad_norm: 4.0295 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9535 loss: 1.9535 2022/08/08 18:39:41 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 2.0000e-02 eta: 21:06:21 time: 0.8453 data_time: 0.0174 memory: 19726 grad_norm: 4.0815 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6853 loss: 1.6853 2022/08/08 18:39:46 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 18:39:58 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 2.0000e-02 eta: 21:05:52 time: 0.8463 data_time: 0.0175 memory: 19726 grad_norm: 4.1322 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9596 loss: 1.9596 2022/08/08 18:40:15 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 2.0000e-02 eta: 21:05:25 time: 0.8610 data_time: 0.0223 memory: 19726 grad_norm: 4.1742 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9522 loss: 1.9522 2022/08/08 18:40:33 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 2.0000e-02 eta: 21:04:58 time: 0.8582 data_time: 0.0183 memory: 19726 grad_norm: 4.1652 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1077 loss: 2.1077 2022/08/08 18:40:50 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 2.0000e-02 eta: 21:04:30 time: 0.8464 data_time: 0.0171 memory: 19726 grad_norm: 4.0274 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9135 loss: 1.9135 2022/08/08 18:41:07 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 2.0000e-02 eta: 21:04:01 time: 0.8472 data_time: 0.0190 memory: 19726 grad_norm: 3.9476 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1046 loss: 2.1046 2022/08/08 18:41:24 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 2.0000e-02 eta: 21:03:34 time: 0.8536 data_time: 0.0180 memory: 19726 grad_norm: 3.9907 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3214 loss: 2.3214 2022/08/08 18:41:40 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 2.0000e-02 eta: 21:03:05 time: 0.8449 data_time: 0.0173 memory: 19726 grad_norm: 4.0487 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.1269 loss: 2.1269 2022/08/08 18:41:57 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 2.0000e-02 eta: 21:02:36 time: 0.8463 data_time: 0.0178 memory: 19726 grad_norm: 3.9271 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2350 loss: 2.2350 2022/08/08 18:42:15 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 2.0000e-02 eta: 21:02:09 time: 0.8550 data_time: 0.0195 memory: 19726 grad_norm: 4.0847 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2302 loss: 2.2302 2022/08/08 18:42:32 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 2.0000e-02 eta: 21:01:42 time: 0.8530 data_time: 0.0238 memory: 19726 grad_norm: 4.0380 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0372 loss: 2.0372 2022/08/08 18:42:48 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 2.0000e-02 eta: 21:01:13 time: 0.8460 data_time: 0.0169 memory: 19726 grad_norm: 3.9342 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0560 loss: 2.0560 2022/08/08 18:43:06 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 2.0000e-02 eta: 21:00:46 time: 0.8520 data_time: 0.0201 memory: 19726 grad_norm: 3.8966 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0342 loss: 2.0342 2022/08/08 18:43:22 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 2.0000e-02 eta: 21:00:17 time: 0.8460 data_time: 0.0178 memory: 19726 grad_norm: 3.9864 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2407 loss: 2.2407 2022/08/08 18:43:38 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 18:43:38 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 2.0000e-02 eta: 21:00:17 time: 0.8300 data_time: 0.0171 memory: 19726 grad_norm: 4.0999 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.1624 loss: 2.1624 2022/08/08 18:43:38 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/08 18:43:54 - mmengine - INFO - Epoch(val) [6][20/155] eta: 0:01:34 time: 0.7037 data_time: 0.4630 memory: 2699 2022/08/08 18:44:04 - mmengine - INFO - Epoch(val) [6][40/155] eta: 0:00:53 time: 0.4621 data_time: 0.2224 memory: 2699 2022/08/08 18:44:16 - mmengine - INFO - Epoch(val) [6][60/155] eta: 0:00:58 time: 0.6141 data_time: 0.3755 memory: 2699 2022/08/08 18:44:25 - mmengine - INFO - Epoch(val) [6][80/155] eta: 0:00:35 time: 0.4671 data_time: 0.2289 memory: 2699 2022/08/08 18:44:37 - mmengine - INFO - Epoch(val) [6][100/155] eta: 0:00:33 time: 0.6028 data_time: 0.3621 memory: 2699 2022/08/08 18:44:47 - mmengine - INFO - Epoch(val) [6][120/155] eta: 0:00:17 time: 0.5009 data_time: 0.2624 memory: 2699 2022/08/08 18:45:01 - mmengine - INFO - Epoch(val) [6][140/155] eta: 0:00:10 time: 0.6692 data_time: 0.4041 memory: 2699 2022/08/08 18:45:09 - mmengine - INFO - Epoch(val) [6][155/155] acc/top1: 0.5353 acc/top5: 0.7911 acc/mean1: 0.5352 2022/08/08 18:45:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/08 18:45:10 - mmengine - INFO - The best checkpoint with 0.5353 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/08 18:45:32 - mmengine - INFO - Epoch(train) [7][20/1879] lr: 2.0000e-02 eta: 20:58:01 time: 1.0948 data_time: 0.2485 memory: 19726 grad_norm: 4.0022 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9698 loss: 1.9698 2022/08/08 18:45:49 - mmengine - INFO - Epoch(train) [7][40/1879] lr: 2.0000e-02 eta: 20:57:33 time: 0.8477 data_time: 0.0185 memory: 19726 grad_norm: 3.9482 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7704 loss: 1.7704 2022/08/08 18:46:06 - mmengine - INFO - Epoch(train) [7][60/1879] lr: 2.0000e-02 eta: 20:57:05 time: 0.8450 data_time: 0.0173 memory: 19726 grad_norm: 3.9201 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8848 loss: 1.8848 2022/08/08 18:46:23 - mmengine - INFO - Epoch(train) [7][80/1879] lr: 2.0000e-02 eta: 20:56:37 time: 0.8440 data_time: 0.0179 memory: 19726 grad_norm: 3.9526 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9303 loss: 1.9303 2022/08/08 18:46:40 - mmengine - INFO - Epoch(train) [7][100/1879] lr: 2.0000e-02 eta: 20:56:09 time: 0.8504 data_time: 0.0182 memory: 19726 grad_norm: 4.0744 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0025 loss: 2.0025 2022/08/08 18:46:57 - mmengine - INFO - Epoch(train) [7][120/1879] lr: 2.0000e-02 eta: 20:55:41 time: 0.8462 data_time: 0.0184 memory: 19726 grad_norm: 4.1388 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9956 loss: 1.9956 2022/08/08 18:47:14 - mmengine - INFO - Epoch(train) [7][140/1879] lr: 2.0000e-02 eta: 20:55:14 time: 0.8493 data_time: 0.0180 memory: 19726 grad_norm: 4.0569 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0748 loss: 2.0748 2022/08/08 18:47:31 - mmengine - INFO - Epoch(train) [7][160/1879] lr: 2.0000e-02 eta: 20:54:46 time: 0.8479 data_time: 0.0168 memory: 19726 grad_norm: 4.0250 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9266 loss: 1.9266 2022/08/08 18:47:48 - mmengine - INFO - Epoch(train) [7][180/1879] lr: 2.0000e-02 eta: 20:54:19 time: 0.8492 data_time: 0.0192 memory: 19726 grad_norm: 3.9522 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9715 loss: 1.9715 2022/08/08 18:48:05 - mmengine - INFO - Epoch(train) [7][200/1879] lr: 2.0000e-02 eta: 20:53:52 time: 0.8540 data_time: 0.0179 memory: 19726 grad_norm: 3.9877 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9456 loss: 1.9456 2022/08/08 18:48:22 - mmengine - INFO - Epoch(train) [7][220/1879] lr: 2.0000e-02 eta: 20:53:25 time: 0.8501 data_time: 0.0169 memory: 19726 grad_norm: 3.9383 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8366 loss: 1.8366 2022/08/08 18:48:39 - mmengine - INFO - Epoch(train) [7][240/1879] lr: 2.0000e-02 eta: 20:52:58 time: 0.8488 data_time: 0.0188 memory: 19726 grad_norm: 4.0999 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9904 loss: 1.9904 2022/08/08 18:48:56 - mmengine - INFO - Epoch(train) [7][260/1879] lr: 2.0000e-02 eta: 20:52:31 time: 0.8495 data_time: 0.0183 memory: 19726 grad_norm: 4.1247 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8783 loss: 1.8783 2022/08/08 18:49:13 - mmengine - INFO - Epoch(train) [7][280/1879] lr: 2.0000e-02 eta: 20:52:03 time: 0.8466 data_time: 0.0182 memory: 19726 grad_norm: 4.1228 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9086 loss: 1.9086 2022/08/08 18:49:30 - mmengine - INFO - Epoch(train) [7][300/1879] lr: 2.0000e-02 eta: 20:51:35 time: 0.8423 data_time: 0.0167 memory: 19726 grad_norm: 4.0195 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1889 loss: 2.1889 2022/08/08 18:49:47 - mmengine - INFO - Epoch(train) [7][320/1879] lr: 2.0000e-02 eta: 20:51:08 time: 0.8497 data_time: 0.0177 memory: 19726 grad_norm: 4.0188 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0193 loss: 2.0193 2022/08/08 18:50:04 - mmengine - INFO - Epoch(train) [7][340/1879] lr: 2.0000e-02 eta: 20:50:41 time: 0.8502 data_time: 0.0189 memory: 19726 grad_norm: 3.9626 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7990 loss: 1.7990 2022/08/08 18:50:21 - mmengine - INFO - Epoch(train) [7][360/1879] lr: 2.0000e-02 eta: 20:50:14 time: 0.8489 data_time: 0.0198 memory: 19726 grad_norm: 3.9942 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1479 loss: 2.1479 2022/08/08 18:50:38 - mmengine - INFO - Epoch(train) [7][380/1879] lr: 2.0000e-02 eta: 20:49:48 time: 0.8542 data_time: 0.0183 memory: 19726 grad_norm: 4.0745 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9961 loss: 1.9961 2022/08/08 18:50:55 - mmengine - INFO - Epoch(train) [7][400/1879] lr: 2.0000e-02 eta: 20:49:20 time: 0.8445 data_time: 0.0179 memory: 19726 grad_norm: 4.1431 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9580 loss: 1.9580 2022/08/08 18:51:12 - mmengine - INFO - Epoch(train) [7][420/1879] lr: 2.0000e-02 eta: 20:48:53 time: 0.8444 data_time: 0.0176 memory: 19726 grad_norm: 4.1144 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7752 loss: 1.7752 2022/08/08 18:51:29 - mmengine - INFO - Epoch(train) [7][440/1879] lr: 2.0000e-02 eta: 20:48:26 time: 0.8485 data_time: 0.0182 memory: 19726 grad_norm: 3.9440 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8798 loss: 1.8798 2022/08/08 18:51:46 - mmengine - INFO - Epoch(train) [7][460/1879] lr: 2.0000e-02 eta: 20:47:59 time: 0.8516 data_time: 0.0191 memory: 19726 grad_norm: 3.9869 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.9423 loss: 1.9423 2022/08/08 18:52:03 - mmengine - INFO - Epoch(train) [7][480/1879] lr: 2.0000e-02 eta: 20:47:32 time: 0.8446 data_time: 0.0173 memory: 19726 grad_norm: 4.0407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8149 loss: 1.8149 2022/08/08 18:52:19 - mmengine - INFO - Epoch(train) [7][500/1879] lr: 2.0000e-02 eta: 20:47:04 time: 0.8446 data_time: 0.0170 memory: 19726 grad_norm: 4.0537 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7979 loss: 1.7979 2022/08/08 18:52:37 - mmengine - INFO - Epoch(train) [7][520/1879] lr: 2.0000e-02 eta: 20:46:38 time: 0.8537 data_time: 0.0236 memory: 19726 grad_norm: 4.0586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0472 loss: 2.0472 2022/08/08 18:52:53 - mmengine - INFO - Epoch(train) [7][540/1879] lr: 2.0000e-02 eta: 20:46:11 time: 0.8436 data_time: 0.0177 memory: 19726 grad_norm: 3.8948 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8878 loss: 1.8878 2022/08/08 18:53:10 - mmengine - INFO - Epoch(train) [7][560/1879] lr: 2.0000e-02 eta: 20:45:44 time: 0.8515 data_time: 0.0170 memory: 19726 grad_norm: 4.0042 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8549 loss: 1.8549 2022/08/08 18:53:27 - mmengine - INFO - Epoch(train) [7][580/1879] lr: 2.0000e-02 eta: 20:45:18 time: 0.8501 data_time: 0.0177 memory: 19726 grad_norm: 3.9799 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8918 loss: 1.8918 2022/08/08 18:53:44 - mmengine - INFO - Epoch(train) [7][600/1879] lr: 2.0000e-02 eta: 20:44:51 time: 0.8468 data_time: 0.0182 memory: 19726 grad_norm: 4.1592 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7145 loss: 1.7145 2022/08/08 18:54:01 - mmengine - INFO - Epoch(train) [7][620/1879] lr: 2.0000e-02 eta: 20:44:24 time: 0.8508 data_time: 0.0184 memory: 19726 grad_norm: 4.0809 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6976 loss: 1.6976 2022/08/08 18:54:18 - mmengine - INFO - Epoch(train) [7][640/1879] lr: 2.0000e-02 eta: 20:43:58 time: 0.8516 data_time: 0.0198 memory: 19726 grad_norm: 4.0421 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8887 loss: 1.8887 2022/08/08 18:54:35 - mmengine - INFO - Epoch(train) [7][660/1879] lr: 2.0000e-02 eta: 20:43:31 time: 0.8454 data_time: 0.0181 memory: 19726 grad_norm: 4.1363 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1146 loss: 2.1146 2022/08/08 18:54:52 - mmengine - INFO - Epoch(train) [7][680/1879] lr: 2.0000e-02 eta: 20:43:04 time: 0.8454 data_time: 0.0171 memory: 19726 grad_norm: 3.9554 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9334 loss: 1.9334 2022/08/08 18:55:09 - mmengine - INFO - Epoch(train) [7][700/1879] lr: 2.0000e-02 eta: 20:42:37 time: 0.8483 data_time: 0.0192 memory: 19726 grad_norm: 4.0584 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9091 loss: 1.9091 2022/08/08 18:55:26 - mmengine - INFO - Epoch(train) [7][720/1879] lr: 2.0000e-02 eta: 20:42:11 time: 0.8487 data_time: 0.0186 memory: 19726 grad_norm: 4.0435 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9758 loss: 1.9758 2022/08/08 18:55:31 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 18:55:43 - mmengine - INFO - Epoch(train) [7][740/1879] lr: 2.0000e-02 eta: 20:41:45 time: 0.8518 data_time: 0.0175 memory: 19726 grad_norm: 4.0386 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9807 loss: 1.9807 2022/08/08 18:56:00 - mmengine - INFO - Epoch(train) [7][760/1879] lr: 2.0000e-02 eta: 20:41:19 time: 0.8490 data_time: 0.0185 memory: 19726 grad_norm: 3.9801 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9511 loss: 1.9511 2022/08/08 18:56:17 - mmengine - INFO - Epoch(train) [7][780/1879] lr: 2.0000e-02 eta: 20:40:52 time: 0.8460 data_time: 0.0179 memory: 19726 grad_norm: 3.9926 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8399 loss: 1.8399 2022/08/08 18:56:34 - mmengine - INFO - Epoch(train) [7][800/1879] lr: 2.0000e-02 eta: 20:40:26 time: 0.8518 data_time: 0.0177 memory: 19726 grad_norm: 3.9969 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0954 loss: 2.0954 2022/08/08 18:56:51 - mmengine - INFO - Epoch(train) [7][820/1879] lr: 2.0000e-02 eta: 20:39:59 time: 0.8473 data_time: 0.0190 memory: 19726 grad_norm: 3.9254 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0189 loss: 2.0189 2022/08/08 18:57:08 - mmengine - INFO - Epoch(train) [7][840/1879] lr: 2.0000e-02 eta: 20:39:33 time: 0.8471 data_time: 0.0180 memory: 19726 grad_norm: 4.0702 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8762 loss: 1.8762 2022/08/08 18:57:25 - mmengine - INFO - Epoch(train) [7][860/1879] lr: 2.0000e-02 eta: 20:39:08 time: 0.8590 data_time: 0.0188 memory: 19726 grad_norm: 4.0135 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9835 loss: 1.9835 2022/08/08 18:57:42 - mmengine - INFO - Epoch(train) [7][880/1879] lr: 2.0000e-02 eta: 20:38:42 time: 0.8533 data_time: 0.0245 memory: 19726 grad_norm: 4.0635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0120 loss: 2.0120 2022/08/08 18:57:59 - mmengine - INFO - Epoch(train) [7][900/1879] lr: 2.0000e-02 eta: 20:38:17 time: 0.8598 data_time: 0.0176 memory: 19726 grad_norm: 4.0611 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9156 loss: 1.9156 2022/08/08 18:58:16 - mmengine - INFO - Epoch(train) [7][920/1879] lr: 2.0000e-02 eta: 20:37:51 time: 0.8470 data_time: 0.0188 memory: 19726 grad_norm: 3.9395 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8399 loss: 1.8399 2022/08/08 18:58:33 - mmengine - INFO - Epoch(train) [7][940/1879] lr: 2.0000e-02 eta: 20:37:25 time: 0.8475 data_time: 0.0177 memory: 19726 grad_norm: 3.9797 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9949 loss: 1.9949 2022/08/08 18:58:50 - mmengine - INFO - Epoch(train) [7][960/1879] lr: 2.0000e-02 eta: 20:36:58 time: 0.8478 data_time: 0.0186 memory: 19726 grad_norm: 4.1168 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1106 loss: 2.1106 2022/08/08 18:59:07 - mmengine - INFO - Epoch(train) [7][980/1879] lr: 2.0000e-02 eta: 20:36:32 time: 0.8490 data_time: 0.0186 memory: 19726 grad_norm: 4.0147 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8890 loss: 1.8890 2022/08/08 18:59:24 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 2.0000e-02 eta: 20:36:07 time: 0.8553 data_time: 0.0185 memory: 19726 grad_norm: 4.0136 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1059 loss: 2.1059 2022/08/08 18:59:41 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 2.0000e-02 eta: 20:35:41 time: 0.8467 data_time: 0.0185 memory: 19726 grad_norm: 3.9022 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9305 loss: 1.9305 2022/08/08 18:59:58 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 2.0000e-02 eta: 20:35:15 time: 0.8471 data_time: 0.0186 memory: 19726 grad_norm: 3.8793 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7884 loss: 1.7884 2022/08/08 19:00:16 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 2.0000e-02 eta: 20:34:54 time: 0.8885 data_time: 0.0496 memory: 19726 grad_norm: 3.8939 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.0938 loss: 2.0938 2022/08/08 19:00:33 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 2.0000e-02 eta: 20:34:28 time: 0.8503 data_time: 0.0183 memory: 19726 grad_norm: 3.9941 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8744 loss: 1.8744 2022/08/08 19:00:50 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 2.0000e-02 eta: 20:34:02 time: 0.8453 data_time: 0.0183 memory: 19726 grad_norm: 3.8458 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9691 loss: 1.9691 2022/08/08 19:01:07 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 2.0000e-02 eta: 20:33:36 time: 0.8504 data_time: 0.0182 memory: 19726 grad_norm: 3.8331 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9240 loss: 1.9240 2022/08/08 19:01:24 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 2.0000e-02 eta: 20:33:10 time: 0.8497 data_time: 0.0177 memory: 19726 grad_norm: 3.8911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8704 loss: 1.8704 2022/08/08 19:01:41 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 2.0000e-02 eta: 20:32:44 time: 0.8457 data_time: 0.0168 memory: 19726 grad_norm: 3.9134 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0746 loss: 2.0746 2022/08/08 19:01:58 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 2.0000e-02 eta: 20:32:18 time: 0.8503 data_time: 0.0175 memory: 19726 grad_norm: 4.0437 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9224 loss: 1.9224 2022/08/08 19:02:15 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 2.0000e-02 eta: 20:31:53 time: 0.8524 data_time: 0.0192 memory: 19726 grad_norm: 4.0208 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8852 loss: 1.8852 2022/08/08 19:02:32 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 2.0000e-02 eta: 20:31:28 time: 0.8508 data_time: 0.0240 memory: 19726 grad_norm: 3.9119 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7373 loss: 1.7373 2022/08/08 19:02:49 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 2.0000e-02 eta: 20:31:02 time: 0.8511 data_time: 0.0185 memory: 19726 grad_norm: 3.9021 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8742 loss: 1.8742 2022/08/08 19:03:06 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 2.0000e-02 eta: 20:30:36 time: 0.8468 data_time: 0.0191 memory: 19726 grad_norm: 3.9707 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0791 loss: 2.0791 2022/08/08 19:03:23 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 2.0000e-02 eta: 20:30:10 time: 0.8454 data_time: 0.0185 memory: 19726 grad_norm: 3.8384 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9433 loss: 1.9433 2022/08/08 19:03:40 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 2.0000e-02 eta: 20:29:44 time: 0.8444 data_time: 0.0178 memory: 19726 grad_norm: 3.9795 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9143 loss: 1.9143 2022/08/08 19:03:57 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 2.0000e-02 eta: 20:29:18 time: 0.8491 data_time: 0.0181 memory: 19726 grad_norm: 3.8558 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6775 loss: 1.6775 2022/08/08 19:04:14 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 2.0000e-02 eta: 20:28:52 time: 0.8458 data_time: 0.0184 memory: 19726 grad_norm: 4.0786 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1033 loss: 2.1033 2022/08/08 19:04:31 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 2.0000e-02 eta: 20:28:27 time: 0.8466 data_time: 0.0175 memory: 19726 grad_norm: 4.0288 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0067 loss: 2.0067 2022/08/08 19:04:48 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 2.0000e-02 eta: 20:28:01 time: 0.8515 data_time: 0.0175 memory: 19726 grad_norm: 3.9752 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9693 loss: 1.9693 2022/08/08 19:05:05 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 2.0000e-02 eta: 20:27:36 time: 0.8502 data_time: 0.0199 memory: 19726 grad_norm: 3.9301 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9507 loss: 1.9507 2022/08/08 19:05:22 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 2.0000e-02 eta: 20:27:12 time: 0.8636 data_time: 0.0231 memory: 19726 grad_norm: 4.0922 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8541 loss: 1.8541 2022/08/08 19:05:39 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 2.0000e-02 eta: 20:26:47 time: 0.8452 data_time: 0.0179 memory: 19726 grad_norm: 3.9764 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9067 loss: 1.9067 2022/08/08 19:05:56 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 2.0000e-02 eta: 20:26:21 time: 0.8501 data_time: 0.0184 memory: 19726 grad_norm: 4.0502 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7204 loss: 1.7204 2022/08/08 19:06:13 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 2.0000e-02 eta: 20:25:56 time: 0.8508 data_time: 0.0197 memory: 19726 grad_norm: 4.0680 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9835 loss: 1.9835 2022/08/08 19:06:30 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 2.0000e-02 eta: 20:25:31 time: 0.8520 data_time: 0.0239 memory: 19726 grad_norm: 3.9598 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9085 loss: 1.9085 2022/08/08 19:06:47 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 2.0000e-02 eta: 20:25:07 time: 0.8555 data_time: 0.0179 memory: 19726 grad_norm: 3.8960 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0378 loss: 2.0378 2022/08/08 19:07:04 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 2.0000e-02 eta: 20:24:41 time: 0.8465 data_time: 0.0187 memory: 19726 grad_norm: 3.8282 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9848 loss: 1.9848 2022/08/08 19:07:21 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 2.0000e-02 eta: 20:24:15 time: 0.8462 data_time: 0.0185 memory: 19726 grad_norm: 3.9113 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9646 loss: 1.9646 2022/08/08 19:07:38 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 2.0000e-02 eta: 20:23:50 time: 0.8495 data_time: 0.0183 memory: 19726 grad_norm: 3.9804 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8046 loss: 1.8046 2022/08/08 19:07:55 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 2.0000e-02 eta: 20:23:25 time: 0.8462 data_time: 0.0185 memory: 19726 grad_norm: 4.0239 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0051 loss: 2.0051 2022/08/08 19:08:12 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 2.0000e-02 eta: 20:22:59 time: 0.8457 data_time: 0.0184 memory: 19726 grad_norm: 3.8170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7650 loss: 1.7650 2022/08/08 19:08:29 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 2.0000e-02 eta: 20:22:35 time: 0.8558 data_time: 0.0186 memory: 19726 grad_norm: 3.9608 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8491 loss: 1.8491 2022/08/08 19:08:46 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 2.0000e-02 eta: 20:22:09 time: 0.8460 data_time: 0.0195 memory: 19726 grad_norm: 3.9644 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0709 loss: 2.0709 2022/08/08 19:09:03 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 2.0000e-02 eta: 20:21:44 time: 0.8503 data_time: 0.0182 memory: 19726 grad_norm: 3.8725 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7753 loss: 1.7753 2022/08/08 19:09:20 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 2.0000e-02 eta: 20:21:20 time: 0.8532 data_time: 0.0189 memory: 19726 grad_norm: 3.8529 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8193 loss: 1.8193 2022/08/08 19:09:37 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 2.0000e-02 eta: 20:20:54 time: 0.8450 data_time: 0.0187 memory: 19726 grad_norm: 3.7885 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9662 loss: 1.9662 2022/08/08 19:09:42 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 19:09:54 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 2.0000e-02 eta: 20:20:28 time: 0.8445 data_time: 0.0176 memory: 19726 grad_norm: 3.9813 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9032 loss: 1.9032 2022/08/08 19:10:11 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 2.0000e-02 eta: 20:20:04 time: 0.8541 data_time: 0.0197 memory: 19726 grad_norm: 3.9547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1603 loss: 2.1603 2022/08/08 19:10:28 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 2.0000e-02 eta: 20:19:40 time: 0.8576 data_time: 0.0200 memory: 19726 grad_norm: 3.8858 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2028 loss: 2.2028 2022/08/08 19:10:45 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 2.0000e-02 eta: 20:19:16 time: 0.8548 data_time: 0.0190 memory: 19726 grad_norm: 3.8552 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0169 loss: 2.0169 2022/08/08 19:11:02 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 2.0000e-02 eta: 20:18:50 time: 0.8435 data_time: 0.0177 memory: 19726 grad_norm: 3.9077 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8145 loss: 1.8145 2022/08/08 19:11:19 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 2.0000e-02 eta: 20:18:25 time: 0.8443 data_time: 0.0178 memory: 19726 grad_norm: 3.9667 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8502 loss: 1.8502 2022/08/08 19:11:36 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 2.0000e-02 eta: 20:18:00 time: 0.8482 data_time: 0.0192 memory: 19726 grad_norm: 4.0020 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9039 loss: 1.9039 2022/08/08 19:11:51 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 19:11:51 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 2.0000e-02 eta: 20:18:00 time: 0.8249 data_time: 0.0185 memory: 19726 grad_norm: 4.0686 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.9949 loss: 1.9949 2022/08/08 19:12:05 - mmengine - INFO - Epoch(val) [7][20/155] eta: 0:01:34 time: 0.7033 data_time: 0.4504 memory: 2699 2022/08/08 19:12:15 - mmengine - INFO - Epoch(val) [7][40/155] eta: 0:00:54 time: 0.4741 data_time: 0.2346 memory: 2699 2022/08/08 19:12:27 - mmengine - INFO - Epoch(val) [7][60/155] eta: 0:00:56 time: 0.5903 data_time: 0.3508 memory: 2699 2022/08/08 19:12:37 - mmengine - INFO - Epoch(val) [7][80/155] eta: 0:00:37 time: 0.5049 data_time: 0.2651 memory: 2699 2022/08/08 19:12:50 - mmengine - INFO - Epoch(val) [7][100/155] eta: 0:00:34 time: 0.6357 data_time: 0.3975 memory: 2699 2022/08/08 19:12:59 - mmengine - INFO - Epoch(val) [7][120/155] eta: 0:00:16 time: 0.4787 data_time: 0.2384 memory: 2699 2022/08/08 19:13:13 - mmengine - INFO - Epoch(val) [7][140/155] eta: 0:00:10 time: 0.6701 data_time: 0.4324 memory: 2699 2022/08/08 19:13:20 - mmengine - INFO - Epoch(val) [7][155/155] acc/top1: 0.5389 acc/top5: 0.7953 acc/mean1: 0.5387 2022/08/08 19:13:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/08 19:13:22 - mmengine - INFO - The best checkpoint with 0.5389 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/08/08 19:13:44 - mmengine - INFO - Epoch(train) [8][20/1879] lr: 2.0000e-02 eta: 20:15:59 time: 1.0649 data_time: 0.2211 memory: 19726 grad_norm: 3.8264 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8188 loss: 1.8188 2022/08/08 19:14:00 - mmengine - INFO - Epoch(train) [8][40/1879] lr: 2.0000e-02 eta: 20:15:33 time: 0.8432 data_time: 0.0172 memory: 19726 grad_norm: 3.8013 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9220 loss: 1.9220 2022/08/08 19:14:17 - mmengine - INFO - Epoch(train) [8][60/1879] lr: 2.0000e-02 eta: 20:15:09 time: 0.8499 data_time: 0.0175 memory: 19726 grad_norm: 4.0568 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9200 loss: 1.9200 2022/08/08 19:14:34 - mmengine - INFO - Epoch(train) [8][80/1879] lr: 2.0000e-02 eta: 20:14:44 time: 0.8447 data_time: 0.0178 memory: 19726 grad_norm: 3.9733 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7958 loss: 1.7958 2022/08/08 19:14:51 - mmengine - INFO - Epoch(train) [8][100/1879] lr: 2.0000e-02 eta: 20:14:19 time: 0.8452 data_time: 0.0185 memory: 19726 grad_norm: 3.9783 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9772 loss: 1.9772 2022/08/08 19:15:08 - mmengine - INFO - Epoch(train) [8][120/1879] lr: 2.0000e-02 eta: 20:13:54 time: 0.8483 data_time: 0.0183 memory: 19726 grad_norm: 4.0059 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8777 loss: 1.8777 2022/08/08 19:15:26 - mmengine - INFO - Epoch(train) [8][140/1879] lr: 2.0000e-02 eta: 20:13:33 time: 0.8771 data_time: 0.0222 memory: 19726 grad_norm: 4.0251 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9168 loss: 1.9168 2022/08/08 19:15:43 - mmengine - INFO - Epoch(train) [8][160/1879] lr: 2.0000e-02 eta: 20:13:08 time: 0.8489 data_time: 0.0163 memory: 19726 grad_norm: 3.9173 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9375 loss: 1.9375 2022/08/08 19:16:00 - mmengine - INFO - Epoch(train) [8][180/1879] lr: 2.0000e-02 eta: 20:12:43 time: 0.8480 data_time: 0.0182 memory: 19726 grad_norm: 3.9395 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0254 loss: 2.0254 2022/08/08 19:16:17 - mmengine - INFO - Epoch(train) [8][200/1879] lr: 2.0000e-02 eta: 20:12:19 time: 0.8512 data_time: 0.0176 memory: 19726 grad_norm: 3.8680 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8478 loss: 1.8478 2022/08/08 19:16:34 - mmengine - INFO - Epoch(train) [8][220/1879] lr: 2.0000e-02 eta: 20:11:55 time: 0.8488 data_time: 0.0175 memory: 19726 grad_norm: 3.9859 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.9871 loss: 1.9871 2022/08/08 19:16:51 - mmengine - INFO - Epoch(train) [8][240/1879] lr: 2.0000e-02 eta: 20:11:30 time: 0.8496 data_time: 0.0180 memory: 19726 grad_norm: 3.9127 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0942 loss: 2.0942 2022/08/08 19:17:08 - mmengine - INFO - Epoch(train) [8][260/1879] lr: 2.0000e-02 eta: 20:11:07 time: 0.8548 data_time: 0.0189 memory: 19726 grad_norm: 3.8568 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8594 loss: 1.8594 2022/08/08 19:17:25 - mmengine - INFO - Epoch(train) [8][280/1879] lr: 2.0000e-02 eta: 20:10:42 time: 0.8497 data_time: 0.0181 memory: 19726 grad_norm: 3.8884 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8105 loss: 1.8105 2022/08/08 19:17:42 - mmengine - INFO - Epoch(train) [8][300/1879] lr: 2.0000e-02 eta: 20:10:17 time: 0.8451 data_time: 0.0181 memory: 19726 grad_norm: 3.9171 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6875 loss: 1.6875 2022/08/08 19:17:59 - mmengine - INFO - Epoch(train) [8][320/1879] lr: 2.0000e-02 eta: 20:09:54 time: 0.8575 data_time: 0.0185 memory: 19726 grad_norm: 3.8573 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7507 loss: 1.7507 2022/08/08 19:18:16 - mmengine - INFO - Epoch(train) [8][340/1879] lr: 2.0000e-02 eta: 20:09:29 time: 0.8450 data_time: 0.0182 memory: 19726 grad_norm: 3.8776 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8587 loss: 1.8587 2022/08/08 19:18:33 - mmengine - INFO - Epoch(train) [8][360/1879] lr: 2.0000e-02 eta: 20:09:04 time: 0.8468 data_time: 0.0205 memory: 19726 grad_norm: 3.7686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7863 loss: 1.7863 2022/08/08 19:18:50 - mmengine - INFO - Epoch(train) [8][380/1879] lr: 2.0000e-02 eta: 20:08:40 time: 0.8494 data_time: 0.0238 memory: 19726 grad_norm: 3.9541 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7390 loss: 1.7390 2022/08/08 19:19:07 - mmengine - INFO - Epoch(train) [8][400/1879] lr: 2.0000e-02 eta: 20:08:15 time: 0.8438 data_time: 0.0187 memory: 19726 grad_norm: 4.0487 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8510 loss: 1.8510 2022/08/08 19:19:24 - mmengine - INFO - Epoch(train) [8][420/1879] lr: 2.0000e-02 eta: 20:07:51 time: 0.8464 data_time: 0.0176 memory: 19726 grad_norm: 3.8527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6942 loss: 1.6942 2022/08/08 19:19:40 - mmengine - INFO - Epoch(train) [8][440/1879] lr: 2.0000e-02 eta: 20:07:26 time: 0.8462 data_time: 0.0187 memory: 19726 grad_norm: 3.9498 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8090 loss: 1.8090 2022/08/08 19:19:57 - mmengine - INFO - Epoch(train) [8][460/1879] lr: 2.0000e-02 eta: 20:07:02 time: 0.8509 data_time: 0.0185 memory: 19726 grad_norm: 3.8864 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8199 loss: 1.8199 2022/08/08 19:20:15 - mmengine - INFO - Epoch(train) [8][480/1879] lr: 2.0000e-02 eta: 20:06:38 time: 0.8540 data_time: 0.0209 memory: 19726 grad_norm: 4.0309 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1261 loss: 2.1261 2022/08/08 19:20:32 - mmengine - INFO - Epoch(train) [8][500/1879] lr: 2.0000e-02 eta: 20:06:17 time: 0.8691 data_time: 0.0241 memory: 19726 grad_norm: 3.8836 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8307 loss: 1.8307 2022/08/08 19:20:49 - mmengine - INFO - Epoch(train) [8][520/1879] lr: 2.0000e-02 eta: 20:05:52 time: 0.8474 data_time: 0.0186 memory: 19726 grad_norm: 3.9729 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9835 loss: 1.9835 2022/08/08 19:21:06 - mmengine - INFO - Epoch(train) [8][540/1879] lr: 2.0000e-02 eta: 20:05:29 time: 0.8529 data_time: 0.0186 memory: 19726 grad_norm: 3.8732 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7497 loss: 1.7497 2022/08/08 19:21:23 - mmengine - INFO - Epoch(train) [8][560/1879] lr: 2.0000e-02 eta: 20:05:04 time: 0.8431 data_time: 0.0171 memory: 19726 grad_norm: 3.8962 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9231 loss: 1.9231 2022/08/08 19:21:40 - mmengine - INFO - Epoch(train) [8][580/1879] lr: 2.0000e-02 eta: 20:04:40 time: 0.8539 data_time: 0.0187 memory: 19726 grad_norm: 3.9207 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8206 loss: 1.8206 2022/08/08 19:21:57 - mmengine - INFO - Epoch(train) [8][600/1879] lr: 2.0000e-02 eta: 20:04:16 time: 0.8504 data_time: 0.0185 memory: 19726 grad_norm: 3.9961 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7266 loss: 1.7266 2022/08/08 19:22:14 - mmengine - INFO - Epoch(train) [8][620/1879] lr: 2.0000e-02 eta: 20:03:52 time: 0.8451 data_time: 0.0169 memory: 19726 grad_norm: 3.8365 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.6967 loss: 1.6967 2022/08/08 19:22:31 - mmengine - INFO - Epoch(train) [8][640/1879] lr: 2.0000e-02 eta: 20:03:28 time: 0.8546 data_time: 0.0179 memory: 19726 grad_norm: 3.9347 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6157 loss: 1.6157 2022/08/08 19:22:48 - mmengine - INFO - Epoch(train) [8][660/1879] lr: 2.0000e-02 eta: 20:03:04 time: 0.8501 data_time: 0.0183 memory: 19726 grad_norm: 3.9074 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9131 loss: 1.9131 2022/08/08 19:23:05 - mmengine - INFO - Epoch(train) [8][680/1879] lr: 2.0000e-02 eta: 20:02:40 time: 0.8456 data_time: 0.0182 memory: 19726 grad_norm: 3.8978 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7286 loss: 1.7286 2022/08/08 19:23:22 - mmengine - INFO - Epoch(train) [8][700/1879] lr: 2.0000e-02 eta: 20:02:16 time: 0.8468 data_time: 0.0182 memory: 19726 grad_norm: 3.8820 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8542 loss: 1.8542 2022/08/08 19:23:39 - mmengine - INFO - Epoch(train) [8][720/1879] lr: 2.0000e-02 eta: 20:01:52 time: 0.8483 data_time: 0.0181 memory: 19726 grad_norm: 3.9494 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7477 loss: 1.7477 2022/08/08 19:23:56 - mmengine - INFO - Epoch(train) [8][740/1879] lr: 2.0000e-02 eta: 20:01:28 time: 0.8529 data_time: 0.0180 memory: 19726 grad_norm: 3.8163 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9250 loss: 1.9250 2022/08/08 19:24:13 - mmengine - INFO - Epoch(train) [8][760/1879] lr: 2.0000e-02 eta: 20:01:04 time: 0.8478 data_time: 0.0171 memory: 19726 grad_norm: 3.8245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7222 loss: 1.7222 2022/08/08 19:24:30 - mmengine - INFO - Epoch(train) [8][780/1879] lr: 2.0000e-02 eta: 20:00:40 time: 0.8489 data_time: 0.0178 memory: 19726 grad_norm: 3.9371 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0442 loss: 2.0442 2022/08/08 19:24:47 - mmengine - INFO - Epoch(train) [8][800/1879] lr: 2.0000e-02 eta: 20:00:18 time: 0.8590 data_time: 0.0184 memory: 19726 grad_norm: 3.8223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9621 loss: 1.9621 2022/08/08 19:25:04 - mmengine - INFO - Epoch(train) [8][820/1879] lr: 2.0000e-02 eta: 19:59:53 time: 0.8476 data_time: 0.0184 memory: 19726 grad_norm: 3.8456 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.0010 loss: 2.0010 2022/08/08 19:25:21 - mmengine - INFO - Epoch(train) [8][840/1879] lr: 2.0000e-02 eta: 19:59:31 time: 0.8588 data_time: 0.0220 memory: 19726 grad_norm: 3.8110 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8071 loss: 1.8071 2022/08/08 19:25:27 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 19:25:38 - mmengine - INFO - Epoch(train) [8][860/1879] lr: 2.0000e-02 eta: 19:59:07 time: 0.8498 data_time: 0.0184 memory: 19726 grad_norm: 3.9654 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8622 loss: 1.8622 2022/08/08 19:25:55 - mmengine - INFO - Epoch(train) [8][880/1879] lr: 2.0000e-02 eta: 19:58:43 time: 0.8465 data_time: 0.0171 memory: 19726 grad_norm: 3.8363 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6622 loss: 1.6622 2022/08/08 19:26:12 - mmengine - INFO - Epoch(train) [8][900/1879] lr: 2.0000e-02 eta: 19:58:19 time: 0.8471 data_time: 0.0178 memory: 19726 grad_norm: 3.8778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6683 loss: 1.6683 2022/08/08 19:26:29 - mmengine - INFO - Epoch(train) [8][920/1879] lr: 2.0000e-02 eta: 19:57:55 time: 0.8515 data_time: 0.0184 memory: 19726 grad_norm: 3.9042 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7050 loss: 1.7050 2022/08/08 19:26:46 - mmengine - INFO - Epoch(train) [8][940/1879] lr: 2.0000e-02 eta: 19:57:32 time: 0.8542 data_time: 0.0178 memory: 19726 grad_norm: 3.9894 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0380 loss: 2.0380 2022/08/08 19:27:03 - mmengine - INFO - Epoch(train) [8][960/1879] lr: 2.0000e-02 eta: 19:57:09 time: 0.8492 data_time: 0.0183 memory: 19726 grad_norm: 3.9861 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8709 loss: 1.8709 2022/08/08 19:27:20 - mmengine - INFO - Epoch(train) [8][980/1879] lr: 2.0000e-02 eta: 19:56:45 time: 0.8488 data_time: 0.0176 memory: 19726 grad_norm: 3.9770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9409 loss: 1.9409 2022/08/08 19:27:37 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 2.0000e-02 eta: 19:56:21 time: 0.8527 data_time: 0.0183 memory: 19726 grad_norm: 3.8801 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8253 loss: 1.8253 2022/08/08 19:27:54 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 2.0000e-02 eta: 19:55:59 time: 0.8624 data_time: 0.0320 memory: 19726 grad_norm: 3.8830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9174 loss: 1.9174 2022/08/08 19:28:12 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 2.0000e-02 eta: 19:55:37 time: 0.8620 data_time: 0.0234 memory: 19726 grad_norm: 3.9557 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6729 loss: 1.6729 2022/08/08 19:28:29 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 2.0000e-02 eta: 19:55:14 time: 0.8497 data_time: 0.0181 memory: 19726 grad_norm: 3.8446 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.8888 loss: 1.8888 2022/08/08 19:28:46 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 2.0000e-02 eta: 19:54:50 time: 0.8502 data_time: 0.0177 memory: 19726 grad_norm: 3.9432 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8665 loss: 1.8665 2022/08/08 19:29:02 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 2.0000e-02 eta: 19:54:26 time: 0.8465 data_time: 0.0177 memory: 19726 grad_norm: 3.8737 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0420 loss: 2.0420 2022/08/08 19:29:19 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 2.0000e-02 eta: 19:54:02 time: 0.8464 data_time: 0.0175 memory: 19726 grad_norm: 3.8991 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8766 loss: 1.8766 2022/08/08 19:29:36 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 2.0000e-02 eta: 19:53:39 time: 0.8500 data_time: 0.0180 memory: 19726 grad_norm: 3.8602 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9538 loss: 1.9538 2022/08/08 19:29:53 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 2.0000e-02 eta: 19:53:15 time: 0.8468 data_time: 0.0179 memory: 19726 grad_norm: 3.8331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9645 loss: 1.9645 2022/08/08 19:30:10 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 2.0000e-02 eta: 19:52:52 time: 0.8494 data_time: 0.0194 memory: 19726 grad_norm: 3.8535 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8321 loss: 1.8321 2022/08/08 19:30:28 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 2.0000e-02 eta: 19:52:31 time: 0.8740 data_time: 0.0329 memory: 19726 grad_norm: 3.9652 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8640 loss: 1.8640 2022/08/08 19:30:45 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 2.0000e-02 eta: 19:52:07 time: 0.8479 data_time: 0.0164 memory: 19726 grad_norm: 3.9705 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8953 loss: 1.8953 2022/08/08 19:31:02 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 2.0000e-02 eta: 19:51:44 time: 0.8523 data_time: 0.0178 memory: 19726 grad_norm: 3.9260 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9544 loss: 1.9544 2022/08/08 19:31:19 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 2.0000e-02 eta: 19:51:20 time: 0.8462 data_time: 0.0188 memory: 19726 grad_norm: 4.0104 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7821 loss: 1.7821 2022/08/08 19:31:36 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 2.0000e-02 eta: 19:50:57 time: 0.8495 data_time: 0.0175 memory: 19726 grad_norm: 3.9325 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8580 loss: 1.8580 2022/08/08 19:31:53 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 2.0000e-02 eta: 19:50:34 time: 0.8508 data_time: 0.0175 memory: 19726 grad_norm: 3.9686 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8756 loss: 1.8756 2022/08/08 19:32:10 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 2.0000e-02 eta: 19:50:10 time: 0.8457 data_time: 0.0177 memory: 19726 grad_norm: 3.8215 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8509 loss: 1.8509 2022/08/08 19:32:27 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 2.0000e-02 eta: 19:49:47 time: 0.8498 data_time: 0.0170 memory: 19726 grad_norm: 3.8975 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8837 loss: 1.8837 2022/08/08 19:32:44 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 2.0000e-02 eta: 19:49:23 time: 0.8448 data_time: 0.0173 memory: 19726 grad_norm: 3.9338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9377 loss: 1.9377 2022/08/08 19:33:01 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 2.0000e-02 eta: 19:48:59 time: 0.8488 data_time: 0.0183 memory: 19726 grad_norm: 3.8502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0046 loss: 2.0046 2022/08/08 19:33:18 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 2.0000e-02 eta: 19:48:36 time: 0.8539 data_time: 0.0192 memory: 19726 grad_norm: 3.9603 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8091 loss: 1.8091 2022/08/08 19:33:35 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 2.0000e-02 eta: 19:48:13 time: 0.8509 data_time: 0.0185 memory: 19726 grad_norm: 3.9312 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8853 loss: 1.8853 2022/08/08 19:33:52 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 2.0000e-02 eta: 19:47:50 time: 0.8461 data_time: 0.0178 memory: 19726 grad_norm: 3.8289 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8353 loss: 1.8353 2022/08/08 19:34:09 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 2.0000e-02 eta: 19:47:27 time: 0.8507 data_time: 0.0187 memory: 19726 grad_norm: 3.8561 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7506 loss: 1.7506 2022/08/08 19:34:25 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 2.0000e-02 eta: 19:47:03 time: 0.8451 data_time: 0.0171 memory: 19726 grad_norm: 4.0807 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8810 loss: 1.8810 2022/08/08 19:34:42 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 2.0000e-02 eta: 19:46:39 time: 0.8473 data_time: 0.0180 memory: 19726 grad_norm: 3.9016 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9457 loss: 1.9457 2022/08/08 19:34:59 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 2.0000e-02 eta: 19:46:16 time: 0.8508 data_time: 0.0185 memory: 19726 grad_norm: 3.7542 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1345 loss: 2.1345 2022/08/08 19:35:17 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 2.0000e-02 eta: 19:45:54 time: 0.8577 data_time: 0.0210 memory: 19726 grad_norm: 3.8665 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1568 loss: 2.1568 2022/08/08 19:35:34 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 2.0000e-02 eta: 19:45:31 time: 0.8463 data_time: 0.0169 memory: 19726 grad_norm: 4.0385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7524 loss: 1.7524 2022/08/08 19:35:51 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 2.0000e-02 eta: 19:45:08 time: 0.8538 data_time: 0.0176 memory: 19726 grad_norm: 3.9071 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9565 loss: 1.9565 2022/08/08 19:36:08 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 2.0000e-02 eta: 19:44:45 time: 0.8492 data_time: 0.0194 memory: 19726 grad_norm: 3.8670 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0638 loss: 2.0638 2022/08/08 19:36:25 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 2.0000e-02 eta: 19:44:22 time: 0.8491 data_time: 0.0182 memory: 19726 grad_norm: 3.9414 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8438 loss: 1.8438 2022/08/08 19:36:42 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 2.0000e-02 eta: 19:43:59 time: 0.8493 data_time: 0.0177 memory: 19726 grad_norm: 3.8604 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7188 loss: 1.7188 2022/08/08 19:36:58 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 2.0000e-02 eta: 19:43:35 time: 0.8462 data_time: 0.0182 memory: 19726 grad_norm: 3.8621 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8444 loss: 1.8444 2022/08/08 19:37:15 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 2.0000e-02 eta: 19:43:12 time: 0.8456 data_time: 0.0179 memory: 19726 grad_norm: 3.9920 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9683 loss: 1.9683 2022/08/08 19:37:32 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 2.0000e-02 eta: 19:42:49 time: 0.8501 data_time: 0.0185 memory: 19726 grad_norm: 3.9496 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9225 loss: 1.9225 2022/08/08 19:37:50 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 2.0000e-02 eta: 19:42:27 time: 0.8625 data_time: 0.0239 memory: 19726 grad_norm: 3.9331 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8726 loss: 1.8726 2022/08/08 19:38:07 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 2.0000e-02 eta: 19:42:04 time: 0.8537 data_time: 0.0198 memory: 19726 grad_norm: 3.8402 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0678 loss: 2.0678 2022/08/08 19:38:24 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 2.0000e-02 eta: 19:41:41 time: 0.8467 data_time: 0.0183 memory: 19726 grad_norm: 3.9058 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8755 loss: 1.8755 2022/08/08 19:38:41 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 2.0000e-02 eta: 19:41:18 time: 0.8466 data_time: 0.0173 memory: 19726 grad_norm: 3.8067 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8001 loss: 1.8001 2022/08/08 19:38:58 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 2.0000e-02 eta: 19:40:55 time: 0.8512 data_time: 0.0182 memory: 19726 grad_norm: 3.9299 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1084 loss: 2.1084 2022/08/08 19:39:15 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 2.0000e-02 eta: 19:40:32 time: 0.8441 data_time: 0.0169 memory: 19726 grad_norm: 3.7665 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8913 loss: 1.8913 2022/08/08 19:39:32 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 2.0000e-02 eta: 19:40:09 time: 0.8545 data_time: 0.0179 memory: 19726 grad_norm: 3.7619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8858 loss: 1.8858 2022/08/08 19:39:38 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 19:39:49 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 2.0000e-02 eta: 19:39:46 time: 0.8491 data_time: 0.0183 memory: 19726 grad_norm: 3.9082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8851 loss: 1.8851 2022/08/08 19:40:04 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 19:40:04 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 2.0000e-02 eta: 19:39:46 time: 0.8222 data_time: 0.0173 memory: 19726 grad_norm: 3.9638 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.8502 loss: 1.8502 2022/08/08 19:40:23 - mmengine - INFO - Epoch(val) [8][20/155] eta: 0:02:02 time: 0.9096 data_time: 0.6696 memory: 2699 2022/08/08 19:40:32 - mmengine - INFO - Epoch(val) [8][40/155] eta: 0:00:55 time: 0.4802 data_time: 0.2387 memory: 2699 2022/08/08 19:40:44 - mmengine - INFO - Epoch(val) [8][60/155] eta: 0:00:57 time: 0.6084 data_time: 0.3700 memory: 2699 2022/08/08 19:40:54 - mmengine - INFO - Epoch(val) [8][80/155] eta: 0:00:36 time: 0.4924 data_time: 0.2541 memory: 2699 2022/08/08 19:41:07 - mmengine - INFO - Epoch(val) [8][100/155] eta: 0:00:34 time: 0.6219 data_time: 0.3837 memory: 2699 2022/08/08 19:41:18 - mmengine - INFO - Epoch(val) [8][120/155] eta: 0:00:19 time: 0.5521 data_time: 0.3076 memory: 2699 2022/08/08 19:41:31 - mmengine - INFO - Epoch(val) [8][140/155] eta: 0:00:10 time: 0.6745 data_time: 0.4368 memory: 2699 2022/08/08 19:41:38 - mmengine - INFO - Epoch(val) [8][155/155] acc/top1: 0.5699 acc/top5: 0.8187 acc/mean1: 0.5696 2022/08/08 19:41:38 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/08/08 19:41:40 - mmengine - INFO - The best checkpoint with 0.5699 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/08 19:42:01 - mmengine - INFO - Epoch(train) [9][20/1879] lr: 2.0000e-02 eta: 19:37:59 time: 1.0611 data_time: 0.2204 memory: 19726 grad_norm: 3.8259 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6114 loss: 1.6114 2022/08/08 19:42:18 - mmengine - INFO - Epoch(train) [9][40/1879] lr: 2.0000e-02 eta: 19:37:36 time: 0.8434 data_time: 0.0174 memory: 19726 grad_norm: 3.8031 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7365 loss: 1.7365 2022/08/08 19:42:35 - mmengine - INFO - Epoch(train) [9][60/1879] lr: 2.0000e-02 eta: 19:37:12 time: 0.8417 data_time: 0.0165 memory: 19726 grad_norm: 3.8781 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7306 loss: 1.7306 2022/08/08 19:42:52 - mmengine - INFO - Epoch(train) [9][80/1879] lr: 2.0000e-02 eta: 19:36:50 time: 0.8544 data_time: 0.0188 memory: 19726 grad_norm: 3.7962 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7133 loss: 1.7133 2022/08/08 19:43:09 - mmengine - INFO - Epoch(train) [9][100/1879] lr: 2.0000e-02 eta: 19:36:27 time: 0.8484 data_time: 0.0180 memory: 19726 grad_norm: 3.8273 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6994 loss: 1.6994 2022/08/08 19:43:26 - mmengine - INFO - Epoch(train) [9][120/1879] lr: 2.0000e-02 eta: 19:36:04 time: 0.8432 data_time: 0.0173 memory: 19726 grad_norm: 3.9064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8090 loss: 1.8090 2022/08/08 19:43:43 - mmengine - INFO - Epoch(train) [9][140/1879] lr: 2.0000e-02 eta: 19:35:41 time: 0.8493 data_time: 0.0184 memory: 19726 grad_norm: 3.7866 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9161 loss: 1.9161 2022/08/08 19:44:00 - mmengine - INFO - Epoch(train) [9][160/1879] lr: 2.0000e-02 eta: 19:35:18 time: 0.8496 data_time: 0.0182 memory: 19726 grad_norm: 3.9296 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8466 loss: 1.8466 2022/08/08 19:44:17 - mmengine - INFO - Epoch(train) [9][180/1879] lr: 2.0000e-02 eta: 19:34:55 time: 0.8467 data_time: 0.0183 memory: 19726 grad_norm: 3.8436 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9239 loss: 1.9239 2022/08/08 19:44:34 - mmengine - INFO - Epoch(train) [9][200/1879] lr: 2.0000e-02 eta: 19:34:33 time: 0.8518 data_time: 0.0178 memory: 19726 grad_norm: 3.8214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8337 loss: 1.8337 2022/08/08 19:44:51 - mmengine - INFO - Epoch(train) [9][220/1879] lr: 2.0000e-02 eta: 19:34:10 time: 0.8490 data_time: 0.0183 memory: 19726 grad_norm: 3.7696 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8034 loss: 1.8034 2022/08/08 19:45:08 - mmengine - INFO - Epoch(train) [9][240/1879] lr: 2.0000e-02 eta: 19:33:48 time: 0.8501 data_time: 0.0176 memory: 19726 grad_norm: 3.9483 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7061 loss: 1.7061 2022/08/08 19:45:25 - mmengine - INFO - Epoch(train) [9][260/1879] lr: 2.0000e-02 eta: 19:33:26 time: 0.8609 data_time: 0.0222 memory: 19726 grad_norm: 3.9273 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9288 loss: 1.9288 2022/08/08 19:45:42 - mmengine - INFO - Epoch(train) [9][280/1879] lr: 2.0000e-02 eta: 19:33:04 time: 0.8475 data_time: 0.0183 memory: 19726 grad_norm: 3.9396 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5608 loss: 1.5608 2022/08/08 19:45:59 - mmengine - INFO - Epoch(train) [9][300/1879] lr: 2.0000e-02 eta: 19:32:42 time: 0.8541 data_time: 0.0185 memory: 19726 grad_norm: 3.8557 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7927 loss: 1.7927 2022/08/08 19:46:16 - mmengine - INFO - Epoch(train) [9][320/1879] lr: 2.0000e-02 eta: 19:32:19 time: 0.8471 data_time: 0.0166 memory: 19726 grad_norm: 3.9095 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8837 loss: 1.8837 2022/08/08 19:46:33 - mmengine - INFO - Epoch(train) [9][340/1879] lr: 2.0000e-02 eta: 19:31:56 time: 0.8483 data_time: 0.0182 memory: 19726 grad_norm: 3.8769 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8411 loss: 1.8411 2022/08/08 19:46:50 - mmengine - INFO - Epoch(train) [9][360/1879] lr: 2.0000e-02 eta: 19:31:34 time: 0.8581 data_time: 0.0244 memory: 19726 grad_norm: 3.8369 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6885 loss: 1.6885 2022/08/08 19:47:07 - mmengine - INFO - Epoch(train) [9][380/1879] lr: 2.0000e-02 eta: 19:31:12 time: 0.8479 data_time: 0.0185 memory: 19726 grad_norm: 3.9465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7962 loss: 1.7962 2022/08/08 19:47:24 - mmengine - INFO - Epoch(train) [9][400/1879] lr: 2.0000e-02 eta: 19:30:50 time: 0.8566 data_time: 0.0186 memory: 19726 grad_norm: 3.7916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6049 loss: 1.6049 2022/08/08 19:47:41 - mmengine - INFO - Epoch(train) [9][420/1879] lr: 2.0000e-02 eta: 19:30:27 time: 0.8490 data_time: 0.0180 memory: 19726 grad_norm: 3.9357 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7985 loss: 1.7985 2022/08/08 19:47:58 - mmengine - INFO - Epoch(train) [9][440/1879] lr: 2.0000e-02 eta: 19:30:06 time: 0.8605 data_time: 0.0221 memory: 19726 grad_norm: 3.9516 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7374 loss: 1.7374 2022/08/08 19:48:15 - mmengine - INFO - Epoch(train) [9][460/1879] lr: 2.0000e-02 eta: 19:29:43 time: 0.8457 data_time: 0.0189 memory: 19726 grad_norm: 3.9214 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8563 loss: 1.8563 2022/08/08 19:48:32 - mmengine - INFO - Epoch(train) [9][480/1879] lr: 2.0000e-02 eta: 19:29:20 time: 0.8462 data_time: 0.0177 memory: 19726 grad_norm: 3.8756 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9125 loss: 1.9125 2022/08/08 19:48:49 - mmengine - INFO - Epoch(train) [9][500/1879] lr: 2.0000e-02 eta: 19:28:59 time: 0.8575 data_time: 0.0188 memory: 19726 grad_norm: 3.8677 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8871 loss: 1.8871 2022/08/08 19:49:06 - mmengine - INFO - Epoch(train) [9][520/1879] lr: 2.0000e-02 eta: 19:28:36 time: 0.8488 data_time: 0.0171 memory: 19726 grad_norm: 3.8113 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8531 loss: 1.8531 2022/08/08 19:49:23 - mmengine - INFO - Epoch(train) [9][540/1879] lr: 2.0000e-02 eta: 19:28:15 time: 0.8565 data_time: 0.0179 memory: 19726 grad_norm: 4.0001 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7570 loss: 1.7570 2022/08/08 19:49:40 - mmengine - INFO - Epoch(train) [9][560/1879] lr: 2.0000e-02 eta: 19:27:52 time: 0.8490 data_time: 0.0183 memory: 19726 grad_norm: 3.8027 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9297 loss: 1.9297 2022/08/08 19:49:57 - mmengine - INFO - Epoch(train) [9][580/1879] lr: 2.0000e-02 eta: 19:27:30 time: 0.8514 data_time: 0.0207 memory: 19726 grad_norm: 3.8408 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6683 loss: 1.6683 2022/08/08 19:50:15 - mmengine - INFO - Epoch(train) [9][600/1879] lr: 2.0000e-02 eta: 19:27:09 time: 0.8634 data_time: 0.0196 memory: 19726 grad_norm: 3.8075 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7242 loss: 1.7242 2022/08/08 19:50:32 - mmengine - INFO - Epoch(train) [9][620/1879] lr: 2.0000e-02 eta: 19:26:47 time: 0.8547 data_time: 0.0181 memory: 19726 grad_norm: 3.9880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7221 loss: 1.7221 2022/08/08 19:50:49 - mmengine - INFO - Epoch(train) [9][640/1879] lr: 2.0000e-02 eta: 19:26:25 time: 0.8496 data_time: 0.0179 memory: 19726 grad_norm: 3.8806 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7764 loss: 1.7764 2022/08/08 19:51:06 - mmengine - INFO - Epoch(train) [9][660/1879] lr: 2.0000e-02 eta: 19:26:02 time: 0.8457 data_time: 0.0176 memory: 19726 grad_norm: 3.7916 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7738 loss: 1.7738 2022/08/08 19:51:23 - mmengine - INFO - Epoch(train) [9][680/1879] lr: 2.0000e-02 eta: 19:25:41 time: 0.8625 data_time: 0.0187 memory: 19726 grad_norm: 3.8914 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5742 loss: 1.5742 2022/08/08 19:51:40 - mmengine - INFO - Epoch(train) [9][700/1879] lr: 2.0000e-02 eta: 19:25:19 time: 0.8466 data_time: 0.0180 memory: 19726 grad_norm: 3.8654 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.0161 loss: 2.0161 2022/08/08 19:51:57 - mmengine - INFO - Epoch(train) [9][720/1879] lr: 2.0000e-02 eta: 19:24:56 time: 0.8515 data_time: 0.0179 memory: 19726 grad_norm: 3.7470 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7318 loss: 1.7318 2022/08/08 19:52:14 - mmengine - INFO - Epoch(train) [9][740/1879] lr: 2.0000e-02 eta: 19:24:35 time: 0.8530 data_time: 0.0180 memory: 19726 grad_norm: 3.7833 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6732 loss: 1.6732 2022/08/08 19:52:31 - mmengine - INFO - Epoch(train) [9][760/1879] lr: 2.0000e-02 eta: 19:24:12 time: 0.8514 data_time: 0.0197 memory: 19726 grad_norm: 3.8234 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0635 loss: 2.0635 2022/08/08 19:52:48 - mmengine - INFO - Epoch(train) [9][780/1879] lr: 2.0000e-02 eta: 19:23:50 time: 0.8498 data_time: 0.0188 memory: 19726 grad_norm: 3.9484 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6623 loss: 1.6623 2022/08/08 19:53:05 - mmengine - INFO - Epoch(train) [9][800/1879] lr: 2.0000e-02 eta: 19:23:28 time: 0.8481 data_time: 0.0188 memory: 19726 grad_norm: 3.8377 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8833 loss: 1.8833 2022/08/08 19:53:22 - mmengine - INFO - Epoch(train) [9][820/1879] lr: 2.0000e-02 eta: 19:23:06 time: 0.8524 data_time: 0.0178 memory: 19726 grad_norm: 3.9515 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6857 loss: 1.6857 2022/08/08 19:53:39 - mmengine - INFO - Epoch(train) [9][840/1879] lr: 2.0000e-02 eta: 19:22:44 time: 0.8498 data_time: 0.0177 memory: 19726 grad_norm: 3.9073 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8282 loss: 1.8282 2022/08/08 19:53:56 - mmengine - INFO - Epoch(train) [9][860/1879] lr: 2.0000e-02 eta: 19:22:21 time: 0.8451 data_time: 0.0168 memory: 19726 grad_norm: 3.7973 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0320 loss: 2.0320 2022/08/08 19:54:13 - mmengine - INFO - Epoch(train) [9][880/1879] lr: 2.0000e-02 eta: 19:21:59 time: 0.8524 data_time: 0.0176 memory: 19726 grad_norm: 3.8557 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8896 loss: 1.8896 2022/08/08 19:54:30 - mmengine - INFO - Epoch(train) [9][900/1879] lr: 2.0000e-02 eta: 19:21:37 time: 0.8504 data_time: 0.0183 memory: 19726 grad_norm: 3.8602 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6817 loss: 1.6817 2022/08/08 19:54:47 - mmengine - INFO - Epoch(train) [9][920/1879] lr: 2.0000e-02 eta: 19:21:15 time: 0.8474 data_time: 0.0190 memory: 19726 grad_norm: 3.9404 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8017 loss: 1.8017 2022/08/08 19:55:04 - mmengine - INFO - Epoch(train) [9][940/1879] lr: 2.0000e-02 eta: 19:20:53 time: 0.8558 data_time: 0.0192 memory: 19726 grad_norm: 3.7904 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8408 loss: 1.8408 2022/08/08 19:55:21 - mmengine - INFO - Epoch(train) [9][960/1879] lr: 2.0000e-02 eta: 19:20:33 time: 0.8673 data_time: 0.0227 memory: 19726 grad_norm: 3.8448 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7006 loss: 1.7006 2022/08/08 19:55:28 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 19:55:38 - mmengine - INFO - Epoch(train) [9][980/1879] lr: 2.0000e-02 eta: 19:20:10 time: 0.8448 data_time: 0.0171 memory: 19726 grad_norm: 3.8142 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9282 loss: 1.9282 2022/08/08 19:55:55 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 2.0000e-02 eta: 19:19:48 time: 0.8470 data_time: 0.0181 memory: 19726 grad_norm: 3.8293 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0371 loss: 2.0371 2022/08/08 19:56:12 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 2.0000e-02 eta: 19:19:26 time: 0.8487 data_time: 0.0173 memory: 19726 grad_norm: 3.8232 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8111 loss: 1.8111 2022/08/08 19:56:29 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 2.0000e-02 eta: 19:19:04 time: 0.8514 data_time: 0.0187 memory: 19726 grad_norm: 3.9162 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8011 loss: 1.8011 2022/08/08 19:56:46 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 2.0000e-02 eta: 19:18:41 time: 0.8462 data_time: 0.0182 memory: 19726 grad_norm: 3.7430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9472 loss: 1.9472 2022/08/08 19:57:03 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 2.0000e-02 eta: 19:18:20 time: 0.8526 data_time: 0.0180 memory: 19726 grad_norm: 3.8616 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7667 loss: 1.7667 2022/08/08 19:57:20 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 2.0000e-02 eta: 19:17:58 time: 0.8483 data_time: 0.0186 memory: 19726 grad_norm: 3.8973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7904 loss: 1.7904 2022/08/08 19:57:37 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 2.0000e-02 eta: 19:17:35 time: 0.8437 data_time: 0.0174 memory: 19726 grad_norm: 3.8061 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8868 loss: 1.8868 2022/08/08 19:57:54 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 2.0000e-02 eta: 19:17:13 time: 0.8494 data_time: 0.0190 memory: 19726 grad_norm: 3.8313 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6863 loss: 1.6863 2022/08/08 19:58:11 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 2.0000e-02 eta: 19:16:51 time: 0.8515 data_time: 0.0217 memory: 19726 grad_norm: 3.8701 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5813 loss: 1.5813 2022/08/08 19:58:28 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 2.0000e-02 eta: 19:16:29 time: 0.8477 data_time: 0.0188 memory: 19726 grad_norm: 3.8709 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7512 loss: 1.7512 2022/08/08 19:58:45 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 2.0000e-02 eta: 19:16:07 time: 0.8502 data_time: 0.0178 memory: 19726 grad_norm: 3.9040 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9054 loss: 1.9054 2022/08/08 19:59:02 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 2.0000e-02 eta: 19:15:45 time: 0.8535 data_time: 0.0180 memory: 19726 grad_norm: 3.9768 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7500 loss: 1.7500 2022/08/08 19:59:19 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 2.0000e-02 eta: 19:15:24 time: 0.8534 data_time: 0.0171 memory: 19726 grad_norm: 3.9625 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9011 loss: 1.9011 2022/08/08 19:59:36 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 2.0000e-02 eta: 19:15:02 time: 0.8452 data_time: 0.0178 memory: 19726 grad_norm: 3.7935 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7996 loss: 1.7996 2022/08/08 19:59:53 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 2.0000e-02 eta: 19:14:40 time: 0.8511 data_time: 0.0185 memory: 19726 grad_norm: 3.8716 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9989 loss: 1.9989 2022/08/08 20:00:10 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 2.0000e-02 eta: 19:14:19 time: 0.8608 data_time: 0.0195 memory: 19726 grad_norm: 3.8517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7674 loss: 1.7674 2022/08/08 20:00:27 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 2.0000e-02 eta: 19:13:57 time: 0.8491 data_time: 0.0189 memory: 19726 grad_norm: 3.9232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6395 loss: 1.6395 2022/08/08 20:00:45 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 2.0000e-02 eta: 19:13:36 time: 0.8577 data_time: 0.0176 memory: 19726 grad_norm: 3.8399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9017 loss: 1.9017 2022/08/08 20:01:02 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 2.0000e-02 eta: 19:13:15 time: 0.8593 data_time: 0.0245 memory: 19726 grad_norm: 3.8317 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8048 loss: 1.8048 2022/08/08 20:01:19 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 2.0000e-02 eta: 19:12:53 time: 0.8468 data_time: 0.0176 memory: 19726 grad_norm: 3.8618 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6715 loss: 1.6715 2022/08/08 20:01:36 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 2.0000e-02 eta: 19:12:31 time: 0.8478 data_time: 0.0176 memory: 19726 grad_norm: 3.7583 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8225 loss: 1.8225 2022/08/08 20:01:53 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 2.0000e-02 eta: 19:12:09 time: 0.8467 data_time: 0.0176 memory: 19726 grad_norm: 3.8755 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7350 loss: 1.7350 2022/08/08 20:02:10 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 2.0000e-02 eta: 19:11:47 time: 0.8527 data_time: 0.0190 memory: 19726 grad_norm: 3.9009 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7309 loss: 1.7309 2022/08/08 20:02:27 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 2.0000e-02 eta: 19:11:25 time: 0.8501 data_time: 0.0183 memory: 19726 grad_norm: 3.8797 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8385 loss: 1.8385 2022/08/08 20:02:44 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 2.0000e-02 eta: 19:11:03 time: 0.8458 data_time: 0.0186 memory: 19726 grad_norm: 3.9496 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8699 loss: 1.8699 2022/08/08 20:03:00 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 2.0000e-02 eta: 19:10:41 time: 0.8489 data_time: 0.0180 memory: 19726 grad_norm: 3.8761 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8789 loss: 1.8789 2022/08/08 20:03:17 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 2.0000e-02 eta: 19:10:19 time: 0.8483 data_time: 0.0174 memory: 19726 grad_norm: 3.9165 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8476 loss: 1.8476 2022/08/08 20:03:34 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 2.0000e-02 eta: 19:09:58 time: 0.8492 data_time: 0.0178 memory: 19726 grad_norm: 3.8025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6859 loss: 1.6859 2022/08/08 20:03:52 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 2.0000e-02 eta: 19:09:36 time: 0.8562 data_time: 0.0177 memory: 19726 grad_norm: 3.9052 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8914 loss: 1.8914 2022/08/08 20:04:09 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 2.0000e-02 eta: 19:09:15 time: 0.8491 data_time: 0.0187 memory: 19726 grad_norm: 3.9634 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7088 loss: 1.7088 2022/08/08 20:04:26 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 2.0000e-02 eta: 19:08:53 time: 0.8519 data_time: 0.0183 memory: 19726 grad_norm: 3.7919 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8247 loss: 1.8247 2022/08/08 20:04:43 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 2.0000e-02 eta: 19:08:31 time: 0.8506 data_time: 0.0187 memory: 19726 grad_norm: 3.7241 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9076 loss: 1.9076 2022/08/08 20:05:00 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 2.0000e-02 eta: 19:08:09 time: 0.8443 data_time: 0.0175 memory: 19726 grad_norm: 3.8683 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/08/08 20:05:17 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 2.0000e-02 eta: 19:07:50 time: 0.8739 data_time: 0.0229 memory: 19726 grad_norm: 3.8463 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7435 loss: 1.7435 2022/08/08 20:05:34 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 2.0000e-02 eta: 19:07:29 time: 0.8555 data_time: 0.0187 memory: 19726 grad_norm: 3.7939 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8504 loss: 1.8504 2022/08/08 20:05:51 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 2.0000e-02 eta: 19:07:07 time: 0.8470 data_time: 0.0187 memory: 19726 grad_norm: 3.8312 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8201 loss: 1.8201 2022/08/08 20:06:08 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 2.0000e-02 eta: 19:06:45 time: 0.8445 data_time: 0.0174 memory: 19726 grad_norm: 3.7888 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8845 loss: 1.8845 2022/08/08 20:06:25 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 2.0000e-02 eta: 19:06:23 time: 0.8524 data_time: 0.0188 memory: 19726 grad_norm: 3.8398 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7819 loss: 1.7819 2022/08/08 20:06:42 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 2.0000e-02 eta: 19:06:02 time: 0.8536 data_time: 0.0182 memory: 19726 grad_norm: 3.8178 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7995 loss: 1.7995 2022/08/08 20:06:59 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 2.0000e-02 eta: 19:05:40 time: 0.8466 data_time: 0.0181 memory: 19726 grad_norm: 3.8327 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8101 loss: 1.8101 2022/08/08 20:07:16 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 2.0000e-02 eta: 19:05:19 time: 0.8541 data_time: 0.0182 memory: 19726 grad_norm: 3.9060 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9477 loss: 1.9477 2022/08/08 20:07:33 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 2.0000e-02 eta: 19:04:57 time: 0.8469 data_time: 0.0179 memory: 19726 grad_norm: 3.8173 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2872 loss: 2.2872 2022/08/08 20:07:50 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 2.0000e-02 eta: 19:04:35 time: 0.8513 data_time: 0.0177 memory: 19726 grad_norm: 3.8566 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8493 loss: 1.8493 2022/08/08 20:08:07 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 2.0000e-02 eta: 19:04:14 time: 0.8470 data_time: 0.0171 memory: 19726 grad_norm: 3.9018 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8579 loss: 1.8579 2022/08/08 20:08:23 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 20:08:23 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 2.0000e-02 eta: 19:04:14 time: 0.8244 data_time: 0.0172 memory: 19726 grad_norm: 3.8823 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.8002 loss: 1.8002 2022/08/08 20:08:23 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/08 20:08:39 - mmengine - INFO - Epoch(val) [9][20/155] eta: 0:01:35 time: 0.7081 data_time: 0.4669 memory: 2699 2022/08/08 20:08:50 - mmengine - INFO - Epoch(val) [9][40/155] eta: 0:01:04 time: 0.5569 data_time: 0.3146 memory: 2699 2022/08/08 20:09:00 - mmengine - INFO - Epoch(val) [9][60/155] eta: 0:00:48 time: 0.5080 data_time: 0.2682 memory: 2699 2022/08/08 20:09:12 - mmengine - INFO - Epoch(val) [9][80/155] eta: 0:00:45 time: 0.6036 data_time: 0.3649 memory: 2699 2022/08/08 20:09:24 - mmengine - INFO - Epoch(val) [9][100/155] eta: 0:00:31 time: 0.5637 data_time: 0.3231 memory: 2699 2022/08/08 20:09:35 - mmengine - INFO - Epoch(val) [9][120/155] eta: 0:00:19 time: 0.5586 data_time: 0.3195 memory: 2699 2022/08/08 20:09:45 - mmengine - INFO - Epoch(val) [9][140/155] eta: 0:00:07 time: 0.4908 data_time: 0.2506 memory: 2699 2022/08/08 20:09:53 - mmengine - INFO - Epoch(val) [9][155/155] acc/top1: 0.5888 acc/top5: 0.8264 acc/mean1: 0.5888 2022/08/08 20:09:53 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/08 20:09:55 - mmengine - INFO - The best checkpoint with 0.5888 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/08/08 20:10:16 - mmengine - INFO - Epoch(train) [10][20/1879] lr: 2.0000e-02 eta: 19:02:38 time: 1.0643 data_time: 0.2196 memory: 19726 grad_norm: 3.8164 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8760 loss: 1.8760 2022/08/08 20:10:33 - mmengine - INFO - Epoch(train) [10][40/1879] lr: 2.0000e-02 eta: 19:02:16 time: 0.8484 data_time: 0.0179 memory: 19726 grad_norm: 3.7613 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6910 loss: 1.6910 2022/08/08 20:10:50 - mmengine - INFO - Epoch(train) [10][60/1879] lr: 2.0000e-02 eta: 19:01:55 time: 0.8523 data_time: 0.0189 memory: 19726 grad_norm: 3.8764 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4398 loss: 1.4398 2022/08/08 20:11:07 - mmengine - INFO - Epoch(train) [10][80/1879] lr: 2.0000e-02 eta: 19:01:33 time: 0.8494 data_time: 0.0216 memory: 19726 grad_norm: 3.7980 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5699 loss: 1.5699 2022/08/08 20:11:15 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 20:11:24 - mmengine - INFO - Epoch(train) [10][100/1879] lr: 2.0000e-02 eta: 19:01:12 time: 0.8479 data_time: 0.0190 memory: 19726 grad_norm: 3.7726 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7407 loss: 1.7407 2022/08/08 20:11:41 - mmengine - INFO - Epoch(train) [10][120/1879] lr: 2.0000e-02 eta: 19:00:50 time: 0.8493 data_time: 0.0192 memory: 19726 grad_norm: 3.8846 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7862 loss: 1.7862 2022/08/08 20:11:58 - mmengine - INFO - Epoch(train) [10][140/1879] lr: 2.0000e-02 eta: 19:00:29 time: 0.8499 data_time: 0.0170 memory: 19726 grad_norm: 3.9971 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6308 loss: 1.6308 2022/08/08 20:12:15 - mmengine - INFO - Epoch(train) [10][160/1879] lr: 2.0000e-02 eta: 19:00:07 time: 0.8461 data_time: 0.0184 memory: 19726 grad_norm: 3.7809 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6952 loss: 1.6952 2022/08/08 20:12:32 - mmengine - INFO - Epoch(train) [10][180/1879] lr: 2.0000e-02 eta: 18:59:46 time: 0.8529 data_time: 0.0198 memory: 19726 grad_norm: 3.6905 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7109 loss: 1.7109 2022/08/08 20:12:49 - mmengine - INFO - Epoch(train) [10][200/1879] lr: 2.0000e-02 eta: 18:59:24 time: 0.8460 data_time: 0.0178 memory: 19726 grad_norm: 3.8580 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7165 loss: 1.7165 2022/08/08 20:13:06 - mmengine - INFO - Epoch(train) [10][220/1879] lr: 2.0000e-02 eta: 18:59:03 time: 0.8515 data_time: 0.0195 memory: 19726 grad_norm: 3.7659 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5690 loss: 1.5690 2022/08/08 20:13:23 - mmengine - INFO - Epoch(train) [10][240/1879] lr: 2.0000e-02 eta: 18:58:43 time: 0.8597 data_time: 0.0243 memory: 19726 grad_norm: 3.8301 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6954 loss: 1.6954 2022/08/08 20:13:40 - mmengine - INFO - Epoch(train) [10][260/1879] lr: 2.0000e-02 eta: 18:58:21 time: 0.8482 data_time: 0.0179 memory: 19726 grad_norm: 3.8138 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5708 loss: 1.5708 2022/08/08 20:13:57 - mmengine - INFO - Epoch(train) [10][280/1879] lr: 2.0000e-02 eta: 18:58:00 time: 0.8526 data_time: 0.0178 memory: 19726 grad_norm: 3.9337 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8158 loss: 1.8158 2022/08/08 20:14:14 - mmengine - INFO - Epoch(train) [10][300/1879] lr: 2.0000e-02 eta: 18:57:39 time: 0.8490 data_time: 0.0186 memory: 19726 grad_norm: 3.8861 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6728 loss: 1.6728 2022/08/08 20:14:31 - mmengine - INFO - Epoch(train) [10][320/1879] lr: 2.0000e-02 eta: 18:57:17 time: 0.8526 data_time: 0.0192 memory: 19726 grad_norm: 3.8049 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6452 loss: 1.6452 2022/08/08 20:14:48 - mmengine - INFO - Epoch(train) [10][340/1879] lr: 2.0000e-02 eta: 18:56:56 time: 0.8454 data_time: 0.0176 memory: 19726 grad_norm: 3.8783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7626 loss: 1.7626 2022/08/08 20:15:05 - mmengine - INFO - Epoch(train) [10][360/1879] lr: 2.0000e-02 eta: 18:56:35 time: 0.8541 data_time: 0.0186 memory: 19726 grad_norm: 3.7045 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8007 loss: 1.8007 2022/08/08 20:15:23 - mmengine - INFO - Epoch(train) [10][380/1879] lr: 2.0000e-02 eta: 18:56:15 time: 0.8641 data_time: 0.0214 memory: 19726 grad_norm: 3.8243 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8146 loss: 1.8146 2022/08/08 20:15:40 - mmengine - INFO - Epoch(train) [10][400/1879] lr: 2.0000e-02 eta: 18:55:53 time: 0.8462 data_time: 0.0185 memory: 19726 grad_norm: 3.7427 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6567 loss: 1.6567 2022/08/08 20:15:57 - mmengine - INFO - Epoch(train) [10][420/1879] lr: 2.0000e-02 eta: 18:55:32 time: 0.8517 data_time: 0.0173 memory: 19726 grad_norm: 3.8027 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7411 loss: 1.7411 2022/08/08 20:16:14 - mmengine - INFO - Epoch(train) [10][440/1879] lr: 2.0000e-02 eta: 18:55:11 time: 0.8559 data_time: 0.0181 memory: 19726 grad_norm: 3.8437 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6680 loss: 1.6680 2022/08/08 20:16:31 - mmengine - INFO - Epoch(train) [10][460/1879] lr: 2.0000e-02 eta: 18:54:51 time: 0.8567 data_time: 0.0179 memory: 19726 grad_norm: 3.8186 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8011 loss: 1.8011 2022/08/08 20:16:48 - mmengine - INFO - Epoch(train) [10][480/1879] lr: 2.0000e-02 eta: 18:54:29 time: 0.8449 data_time: 0.0178 memory: 19726 grad_norm: 3.7660 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7158 loss: 1.7158 2022/08/08 20:17:05 - mmengine - INFO - Epoch(train) [10][500/1879] lr: 2.0000e-02 eta: 18:54:08 time: 0.8504 data_time: 0.0183 memory: 19726 grad_norm: 3.7570 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8686 loss: 1.8686 2022/08/08 20:17:22 - mmengine - INFO - Epoch(train) [10][520/1879] lr: 2.0000e-02 eta: 18:53:47 time: 0.8549 data_time: 0.0196 memory: 19726 grad_norm: 3.7375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7480 loss: 1.7480 2022/08/08 20:17:39 - mmengine - INFO - Epoch(train) [10][540/1879] lr: 2.0000e-02 eta: 18:53:26 time: 0.8488 data_time: 0.0184 memory: 19726 grad_norm: 3.8409 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4658 loss: 1.4658 2022/08/08 20:17:56 - mmengine - INFO - Epoch(train) [10][560/1879] lr: 2.0000e-02 eta: 18:53:05 time: 0.8516 data_time: 0.0177 memory: 19726 grad_norm: 3.8591 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5025 loss: 1.5025 2022/08/08 20:18:13 - mmengine - INFO - Epoch(train) [10][580/1879] lr: 2.0000e-02 eta: 18:52:44 time: 0.8530 data_time: 0.0181 memory: 19726 grad_norm: 3.7346 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6652 loss: 1.6652 2022/08/08 20:18:30 - mmengine - INFO - Epoch(train) [10][600/1879] lr: 2.0000e-02 eta: 18:52:22 time: 0.8456 data_time: 0.0175 memory: 19726 grad_norm: 3.8479 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7254 loss: 1.7254 2022/08/08 20:18:47 - mmengine - INFO - Epoch(train) [10][620/1879] lr: 2.0000e-02 eta: 18:52:01 time: 0.8518 data_time: 0.0185 memory: 19726 grad_norm: 3.8212 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8492 loss: 1.8492 2022/08/08 20:19:04 - mmengine - INFO - Epoch(train) [10][640/1879] lr: 2.0000e-02 eta: 18:51:40 time: 0.8517 data_time: 0.0177 memory: 19726 grad_norm: 3.7489 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7235 loss: 1.7235 2022/08/08 20:19:21 - mmengine - INFO - Epoch(train) [10][660/1879] lr: 2.0000e-02 eta: 18:51:19 time: 0.8499 data_time: 0.0185 memory: 19726 grad_norm: 3.8143 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6280 loss: 1.6280 2022/08/08 20:19:38 - mmengine - INFO - Epoch(train) [10][680/1879] lr: 2.0000e-02 eta: 18:50:58 time: 0.8528 data_time: 0.0185 memory: 19726 grad_norm: 3.9778 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7681 loss: 1.7681 2022/08/08 20:19:55 - mmengine - INFO - Epoch(train) [10][700/1879] lr: 2.0000e-02 eta: 18:50:37 time: 0.8469 data_time: 0.0180 memory: 19726 grad_norm: 3.7970 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6548 loss: 1.6548 2022/08/08 20:20:12 - mmengine - INFO - Epoch(train) [10][720/1879] lr: 2.0000e-02 eta: 18:50:16 time: 0.8550 data_time: 0.0190 memory: 19726 grad_norm: 3.8156 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9310 loss: 1.9310 2022/08/08 20:20:29 - mmengine - INFO - Epoch(train) [10][740/1879] lr: 2.0000e-02 eta: 18:49:56 time: 0.8638 data_time: 0.0224 memory: 19726 grad_norm: 3.8293 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7417 loss: 1.7417 2022/08/08 20:20:47 - mmengine - INFO - Epoch(train) [10][760/1879] lr: 2.0000e-02 eta: 18:49:36 time: 0.8649 data_time: 0.0267 memory: 19726 grad_norm: 3.8222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8527 loss: 1.8527 2022/08/08 20:21:04 - mmengine - INFO - Epoch(train) [10][780/1879] lr: 2.0000e-02 eta: 18:49:16 time: 0.8591 data_time: 0.0244 memory: 19726 grad_norm: 3.7922 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8212 loss: 1.8212 2022/08/08 20:21:21 - mmengine - INFO - Epoch(train) [10][800/1879] lr: 2.0000e-02 eta: 18:48:55 time: 0.8491 data_time: 0.0178 memory: 19726 grad_norm: 3.9090 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7640 loss: 1.7640 2022/08/08 20:21:38 - mmengine - INFO - Epoch(train) [10][820/1879] lr: 2.0000e-02 eta: 18:48:34 time: 0.8468 data_time: 0.0183 memory: 19726 grad_norm: 3.8286 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5784 loss: 1.5784 2022/08/08 20:21:55 - mmengine - INFO - Epoch(train) [10][840/1879] lr: 2.0000e-02 eta: 18:48:13 time: 0.8530 data_time: 0.0179 memory: 19726 grad_norm: 3.8651 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6970 loss: 1.6970 2022/08/08 20:22:12 - mmengine - INFO - Epoch(train) [10][860/1879] lr: 2.0000e-02 eta: 18:47:52 time: 0.8480 data_time: 0.0189 memory: 19726 grad_norm: 3.8568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6278 loss: 1.6278 2022/08/08 20:22:29 - mmengine - INFO - Epoch(train) [10][880/1879] lr: 2.0000e-02 eta: 18:47:30 time: 0.8481 data_time: 0.0183 memory: 19726 grad_norm: 3.8898 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9425 loss: 1.9425 2022/08/08 20:22:46 - mmengine - INFO - Epoch(train) [10][900/1879] lr: 2.0000e-02 eta: 18:47:09 time: 0.8522 data_time: 0.0185 memory: 19726 grad_norm: 3.8985 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6975 loss: 1.6975 2022/08/08 20:23:03 - mmengine - INFO - Epoch(train) [10][920/1879] lr: 2.0000e-02 eta: 18:46:48 time: 0.8500 data_time: 0.0198 memory: 19726 grad_norm: 3.8451 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7043 loss: 1.7043 2022/08/08 20:23:20 - mmengine - INFO - Epoch(train) [10][940/1879] lr: 2.0000e-02 eta: 18:46:28 time: 0.8538 data_time: 0.0232 memory: 19726 grad_norm: 3.6462 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7301 loss: 1.7301 2022/08/08 20:23:37 - mmengine - INFO - Epoch(train) [10][960/1879] lr: 2.0000e-02 eta: 18:46:07 time: 0.8501 data_time: 0.0189 memory: 19726 grad_norm: 3.7353 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6916 loss: 1.6916 2022/08/08 20:23:54 - mmengine - INFO - Epoch(train) [10][980/1879] lr: 2.0000e-02 eta: 18:45:46 time: 0.8535 data_time: 0.0190 memory: 19726 grad_norm: 3.8496 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7463 loss: 1.7463 2022/08/08 20:24:11 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 2.0000e-02 eta: 18:45:25 time: 0.8476 data_time: 0.0173 memory: 19726 grad_norm: 3.8667 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.6915 loss: 1.6915 2022/08/08 20:24:28 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 2.0000e-02 eta: 18:45:03 time: 0.8456 data_time: 0.0170 memory: 19726 grad_norm: 3.7166 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5708 loss: 1.5708 2022/08/08 20:24:45 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 2.0000e-02 eta: 18:44:42 time: 0.8481 data_time: 0.0184 memory: 19726 grad_norm: 3.8983 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8782 loss: 1.8782 2022/08/08 20:25:02 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 2.0000e-02 eta: 18:44:22 time: 0.8565 data_time: 0.0185 memory: 19726 grad_norm: 3.9222 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8024 loss: 1.8024 2022/08/08 20:25:19 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 2.0000e-02 eta: 18:44:01 time: 0.8490 data_time: 0.0187 memory: 19726 grad_norm: 3.9480 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7718 loss: 1.7718 2022/08/08 20:25:27 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 20:25:36 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 2.0000e-02 eta: 18:43:40 time: 0.8552 data_time: 0.0182 memory: 19726 grad_norm: 3.9592 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.8970 loss: 1.8970 2022/08/08 20:25:53 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 2.0000e-02 eta: 18:43:20 time: 0.8521 data_time: 0.0187 memory: 19726 grad_norm: 3.9196 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9275 loss: 1.9275 2022/08/08 20:26:10 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 2.0000e-02 eta: 18:42:59 time: 0.8487 data_time: 0.0186 memory: 19726 grad_norm: 3.8214 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6849 loss: 1.6849 2022/08/08 20:26:27 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 2.0000e-02 eta: 18:42:38 time: 0.8526 data_time: 0.0187 memory: 19726 grad_norm: 3.7893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6583 loss: 1.6583 2022/08/08 20:26:44 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 2.0000e-02 eta: 18:42:17 time: 0.8486 data_time: 0.0190 memory: 19726 grad_norm: 3.8388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7156 loss: 1.7156 2022/08/08 20:27:01 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 2.0000e-02 eta: 18:41:56 time: 0.8560 data_time: 0.0191 memory: 19726 grad_norm: 3.8137 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5914 loss: 1.5914 2022/08/08 20:27:18 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 2.0000e-02 eta: 18:41:35 time: 0.8488 data_time: 0.0182 memory: 19726 grad_norm: 3.8072 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8215 loss: 1.8215 2022/08/08 20:27:35 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 2.0000e-02 eta: 18:41:15 time: 0.8504 data_time: 0.0172 memory: 19726 grad_norm: 3.8119 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8691 loss: 1.8691 2022/08/08 20:27:52 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 2.0000e-02 eta: 18:40:54 time: 0.8544 data_time: 0.0185 memory: 19726 grad_norm: 3.9645 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0043 loss: 2.0043 2022/08/08 20:28:09 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 2.0000e-02 eta: 18:40:33 time: 0.8474 data_time: 0.0177 memory: 19726 grad_norm: 3.8363 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7992 loss: 1.7992 2022/08/08 20:28:26 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 2.0000e-02 eta: 18:40:12 time: 0.8528 data_time: 0.0184 memory: 19726 grad_norm: 3.8478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8922 loss: 1.8922 2022/08/08 20:28:43 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 2.0000e-02 eta: 18:39:51 time: 0.8492 data_time: 0.0182 memory: 19726 grad_norm: 3.7300 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5191 loss: 1.5191 2022/08/08 20:29:00 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 2.0000e-02 eta: 18:39:30 time: 0.8473 data_time: 0.0180 memory: 19726 grad_norm: 3.8296 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5340 loss: 1.5340 2022/08/08 20:29:17 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 2.0000e-02 eta: 18:39:09 time: 0.8505 data_time: 0.0165 memory: 19726 grad_norm: 3.8334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8548 loss: 1.8548 2022/08/08 20:29:34 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 2.0000e-02 eta: 18:38:49 time: 0.8536 data_time: 0.0241 memory: 19726 grad_norm: 3.8061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9091 loss: 1.9091 2022/08/08 20:29:51 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 2.0000e-02 eta: 18:38:28 time: 0.8524 data_time: 0.0190 memory: 19726 grad_norm: 3.8389 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7047 loss: 1.7047 2022/08/08 20:30:08 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 2.0000e-02 eta: 18:38:08 time: 0.8504 data_time: 0.0190 memory: 19726 grad_norm: 3.8494 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0653 loss: 2.0653 2022/08/08 20:30:26 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 2.0000e-02 eta: 18:37:47 time: 0.8545 data_time: 0.0188 memory: 19726 grad_norm: 3.8413 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7476 loss: 1.7476 2022/08/08 20:30:43 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 2.0000e-02 eta: 18:37:27 time: 0.8544 data_time: 0.0189 memory: 19726 grad_norm: 3.7482 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6867 loss: 1.6867 2022/08/08 20:31:00 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 2.0000e-02 eta: 18:37:06 time: 0.8456 data_time: 0.0174 memory: 19726 grad_norm: 3.9067 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.7928 loss: 1.7928 2022/08/08 20:31:17 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 2.0000e-02 eta: 18:36:46 time: 0.8603 data_time: 0.0168 memory: 19726 grad_norm: 3.8764 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8722 loss: 1.8722 2022/08/08 20:31:34 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 2.0000e-02 eta: 18:36:25 time: 0.8474 data_time: 0.0204 memory: 19726 grad_norm: 3.9566 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7504 loss: 1.7504 2022/08/08 20:31:51 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 2.0000e-02 eta: 18:36:04 time: 0.8468 data_time: 0.0180 memory: 19726 grad_norm: 3.7845 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7384 loss: 1.7384 2022/08/08 20:32:08 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 2.0000e-02 eta: 18:35:43 time: 0.8501 data_time: 0.0182 memory: 19726 grad_norm: 3.6701 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7356 loss: 1.7356 2022/08/08 20:32:25 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 2.0000e-02 eta: 18:35:22 time: 0.8490 data_time: 0.0192 memory: 19726 grad_norm: 3.6768 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7741 loss: 1.7741 2022/08/08 20:32:42 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 2.0000e-02 eta: 18:35:02 time: 0.8584 data_time: 0.0245 memory: 19726 grad_norm: 3.8401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7740 loss: 1.7740 2022/08/08 20:32:59 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 2.0000e-02 eta: 18:34:41 time: 0.8482 data_time: 0.0180 memory: 19726 grad_norm: 3.7724 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7840 loss: 1.7840 2022/08/08 20:33:16 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 2.0000e-02 eta: 18:34:20 time: 0.8523 data_time: 0.0182 memory: 19726 grad_norm: 3.7660 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7076 loss: 1.7076 2022/08/08 20:33:33 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 2.0000e-02 eta: 18:34:00 time: 0.8475 data_time: 0.0182 memory: 19726 grad_norm: 3.8356 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.7357 loss: 1.7357 2022/08/08 20:33:50 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 2.0000e-02 eta: 18:33:39 time: 0.8465 data_time: 0.0185 memory: 19726 grad_norm: 3.6379 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5947 loss: 1.5947 2022/08/08 20:34:07 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 2.0000e-02 eta: 18:33:18 time: 0.8503 data_time: 0.0181 memory: 19726 grad_norm: 3.8415 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6482 loss: 1.6482 2022/08/08 20:34:24 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 2.0000e-02 eta: 18:32:57 time: 0.8537 data_time: 0.0179 memory: 19726 grad_norm: 3.7749 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7778 loss: 1.7778 2022/08/08 20:34:41 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 2.0000e-02 eta: 18:32:37 time: 0.8467 data_time: 0.0180 memory: 19726 grad_norm: 3.8261 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7931 loss: 1.7931 2022/08/08 20:34:58 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 2.0000e-02 eta: 18:32:16 time: 0.8549 data_time: 0.0182 memory: 19726 grad_norm: 3.7376 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7082 loss: 1.7082 2022/08/08 20:35:15 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 2.0000e-02 eta: 18:31:56 time: 0.8582 data_time: 0.0232 memory: 19726 grad_norm: 3.7447 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8751 loss: 1.8751 2022/08/08 20:35:32 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 2.0000e-02 eta: 18:31:37 time: 0.8733 data_time: 0.0237 memory: 19726 grad_norm: 3.9277 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9450 loss: 1.9450 2022/08/08 20:35:50 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 2.0000e-02 eta: 18:31:17 time: 0.8544 data_time: 0.0170 memory: 19726 grad_norm: 3.7657 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7767 loss: 1.7767 2022/08/08 20:36:06 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 2.0000e-02 eta: 18:30:56 time: 0.8491 data_time: 0.0191 memory: 19726 grad_norm: 3.7154 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6493 loss: 1.6493 2022/08/08 20:36:23 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 2.0000e-02 eta: 18:30:36 time: 0.8502 data_time: 0.0188 memory: 19726 grad_norm: 3.8953 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9879 loss: 1.9879 2022/08/08 20:36:39 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 20:36:39 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 2.0000e-02 eta: 18:30:36 time: 0.8210 data_time: 0.0179 memory: 19726 grad_norm: 3.9907 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5620 loss: 1.5620 2022/08/08 20:36:55 - mmengine - INFO - Epoch(val) [10][20/155] eta: 0:01:49 time: 0.8086 data_time: 0.5691 memory: 2699 2022/08/08 20:37:07 - mmengine - INFO - Epoch(val) [10][40/155] eta: 0:01:06 time: 0.5809 data_time: 0.3416 memory: 2699 2022/08/08 20:37:19 - mmengine - INFO - Epoch(val) [10][60/155] eta: 0:00:57 time: 0.6025 data_time: 0.3611 memory: 2699 2022/08/08 20:37:31 - mmengine - INFO - Epoch(val) [10][80/155] eta: 0:00:44 time: 0.5932 data_time: 0.3566 memory: 2699 2022/08/08 20:37:41 - mmengine - INFO - Epoch(val) [10][100/155] eta: 0:00:27 time: 0.5031 data_time: 0.2648 memory: 2699 2022/08/08 20:37:54 - mmengine - INFO - Epoch(val) [10][120/155] eta: 0:00:22 time: 0.6312 data_time: 0.3926 memory: 2699 2022/08/08 20:38:07 - mmengine - INFO - Epoch(val) [10][140/155] eta: 0:00:10 time: 0.6713 data_time: 0.4368 memory: 2699 2022/08/08 20:38:16 - mmengine - INFO - Epoch(val) [10][155/155] acc/top1: 0.5842 acc/top5: 0.8241 acc/mean1: 0.5841 2022/08/08 20:38:38 - mmengine - INFO - Epoch(train) [11][20/1879] lr: 2.0000e-02 eta: 18:29:11 time: 1.0971 data_time: 0.1914 memory: 19726 grad_norm: 3.7401 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5559 loss: 1.5559 2022/08/08 20:38:55 - mmengine - INFO - Epoch(train) [11][40/1879] lr: 2.0000e-02 eta: 18:28:50 time: 0.8431 data_time: 0.0173 memory: 19726 grad_norm: 3.7451 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5061 loss: 1.5061 2022/08/08 20:39:12 - mmengine - INFO - Epoch(train) [11][60/1879] lr: 2.0000e-02 eta: 18:28:28 time: 0.8419 data_time: 0.0172 memory: 19726 grad_norm: 3.7837 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6476 loss: 1.6476 2022/08/08 20:39:29 - mmengine - INFO - Epoch(train) [11][80/1879] lr: 2.0000e-02 eta: 18:28:08 time: 0.8501 data_time: 0.0179 memory: 19726 grad_norm: 3.7931 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5069 loss: 1.5069 2022/08/08 20:39:46 - mmengine - INFO - Epoch(train) [11][100/1879] lr: 2.0000e-02 eta: 18:27:47 time: 0.8493 data_time: 0.0183 memory: 19726 grad_norm: 3.8413 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6009 loss: 1.6009 2022/08/08 20:40:03 - mmengine - INFO - Epoch(train) [11][120/1879] lr: 2.0000e-02 eta: 18:27:27 time: 0.8501 data_time: 0.0194 memory: 19726 grad_norm: 3.8611 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7552 loss: 1.7552 2022/08/08 20:40:20 - mmengine - INFO - Epoch(train) [11][140/1879] lr: 2.0000e-02 eta: 18:27:07 time: 0.8605 data_time: 0.0215 memory: 19726 grad_norm: 3.7894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7826 loss: 1.7826 2022/08/08 20:40:37 - mmengine - INFO - Epoch(train) [11][160/1879] lr: 2.0000e-02 eta: 18:26:47 time: 0.8493 data_time: 0.0173 memory: 19726 grad_norm: 3.8560 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5995 loss: 1.5995 2022/08/08 20:40:54 - mmengine - INFO - Epoch(train) [11][180/1879] lr: 2.0000e-02 eta: 18:26:26 time: 0.8540 data_time: 0.0194 memory: 19726 grad_norm: 3.8786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5721 loss: 1.5721 2022/08/08 20:41:11 - mmengine - INFO - Epoch(train) [11][200/1879] lr: 2.0000e-02 eta: 18:26:06 time: 0.8483 data_time: 0.0182 memory: 19726 grad_norm: 3.7123 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8441 loss: 1.8441 2022/08/08 20:41:20 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 20:41:28 - mmengine - INFO - Epoch(train) [11][220/1879] lr: 2.0000e-02 eta: 18:25:46 time: 0.8541 data_time: 0.0178 memory: 19726 grad_norm: 3.7338 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7497 loss: 1.7497 2022/08/08 20:41:45 - mmengine - INFO - Epoch(train) [11][240/1879] lr: 2.0000e-02 eta: 18:25:25 time: 0.8506 data_time: 0.0182 memory: 19726 grad_norm: 3.8746 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7015 loss: 1.7015 2022/08/08 20:42:02 - mmengine - INFO - Epoch(train) [11][260/1879] lr: 2.0000e-02 eta: 18:25:05 time: 0.8510 data_time: 0.0177 memory: 19726 grad_norm: 3.8501 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7012 loss: 1.7012 2022/08/08 20:42:20 - mmengine - INFO - Epoch(train) [11][280/1879] lr: 2.0000e-02 eta: 18:24:45 time: 0.8540 data_time: 0.0174 memory: 19726 grad_norm: 3.8511 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9356 loss: 1.9356 2022/08/08 20:42:37 - mmengine - INFO - Epoch(train) [11][300/1879] lr: 2.0000e-02 eta: 18:24:24 time: 0.8550 data_time: 0.0229 memory: 19726 grad_norm: 3.8811 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7798 loss: 1.7798 2022/08/08 20:42:54 - mmengine - INFO - Epoch(train) [11][320/1879] lr: 2.0000e-02 eta: 18:24:04 time: 0.8536 data_time: 0.0184 memory: 19726 grad_norm: 3.9453 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7837 loss: 1.7837 2022/08/08 20:43:11 - mmengine - INFO - Epoch(train) [11][340/1879] lr: 2.0000e-02 eta: 18:23:44 time: 0.8488 data_time: 0.0184 memory: 19726 grad_norm: 3.8740 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8468 loss: 1.8468 2022/08/08 20:43:28 - mmengine - INFO - Epoch(train) [11][360/1879] lr: 2.0000e-02 eta: 18:23:24 time: 0.8545 data_time: 0.0186 memory: 19726 grad_norm: 3.7191 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6860 loss: 1.6860 2022/08/08 20:43:45 - mmengine - INFO - Epoch(train) [11][380/1879] lr: 2.0000e-02 eta: 18:23:03 time: 0.8494 data_time: 0.0181 memory: 19726 grad_norm: 3.7776 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7647 loss: 1.7647 2022/08/08 20:44:02 - mmengine - INFO - Epoch(train) [11][400/1879] lr: 2.0000e-02 eta: 18:22:43 time: 0.8486 data_time: 0.0185 memory: 19726 grad_norm: 3.6979 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8864 loss: 1.8864 2022/08/08 20:44:19 - mmengine - INFO - Epoch(train) [11][420/1879] lr: 2.0000e-02 eta: 18:22:22 time: 0.8505 data_time: 0.0182 memory: 19726 grad_norm: 3.8256 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6030 loss: 1.6030 2022/08/08 20:44:36 - mmengine - INFO - Epoch(train) [11][440/1879] lr: 2.0000e-02 eta: 18:22:02 time: 0.8483 data_time: 0.0194 memory: 19726 grad_norm: 3.9750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7635 loss: 1.7635 2022/08/08 20:44:53 - mmengine - INFO - Epoch(train) [11][460/1879] lr: 2.0000e-02 eta: 18:21:41 time: 0.8448 data_time: 0.0175 memory: 19726 grad_norm: 3.8625 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6470 loss: 1.6470 2022/08/08 20:45:10 - mmengine - INFO - Epoch(train) [11][480/1879] lr: 2.0000e-02 eta: 18:21:21 time: 0.8536 data_time: 0.0198 memory: 19726 grad_norm: 3.7975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6798 loss: 1.6798 2022/08/08 20:45:27 - mmengine - INFO - Epoch(train) [11][500/1879] lr: 2.0000e-02 eta: 18:21:02 time: 0.8647 data_time: 0.0222 memory: 19726 grad_norm: 3.8653 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5956 loss: 1.5956 2022/08/08 20:45:44 - mmengine - INFO - Epoch(train) [11][520/1879] lr: 2.0000e-02 eta: 18:20:41 time: 0.8512 data_time: 0.0185 memory: 19726 grad_norm: 3.8522 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8385 loss: 1.8385 2022/08/08 20:46:01 - mmengine - INFO - Epoch(train) [11][540/1879] lr: 2.0000e-02 eta: 18:20:21 time: 0.8550 data_time: 0.0255 memory: 19726 grad_norm: 3.7484 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7048 loss: 1.7048 2022/08/08 20:46:18 - mmengine - INFO - Epoch(train) [11][560/1879] lr: 2.0000e-02 eta: 18:20:01 time: 0.8506 data_time: 0.0165 memory: 19726 grad_norm: 3.8365 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0210 loss: 2.0210 2022/08/08 20:46:35 - mmengine - INFO - Epoch(train) [11][580/1879] lr: 2.0000e-02 eta: 18:19:41 time: 0.8575 data_time: 0.0275 memory: 19726 grad_norm: 3.8353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7220 loss: 1.7220 2022/08/08 20:46:52 - mmengine - INFO - Epoch(train) [11][600/1879] lr: 2.0000e-02 eta: 18:19:21 time: 0.8481 data_time: 0.0198 memory: 19726 grad_norm: 3.8753 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7115 loss: 1.7115 2022/08/08 20:47:09 - mmengine - INFO - Epoch(train) [11][620/1879] lr: 2.0000e-02 eta: 18:19:00 time: 0.8523 data_time: 0.0182 memory: 19726 grad_norm: 3.7987 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7577 loss: 1.7577 2022/08/08 20:47:26 - mmengine - INFO - Epoch(train) [11][640/1879] lr: 2.0000e-02 eta: 18:18:40 time: 0.8543 data_time: 0.0181 memory: 19726 grad_norm: 3.7751 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8441 loss: 1.8441 2022/08/08 20:47:43 - mmengine - INFO - Epoch(train) [11][660/1879] lr: 2.0000e-02 eta: 18:18:20 time: 0.8470 data_time: 0.0175 memory: 19726 grad_norm: 3.8930 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5918 loss: 1.5918 2022/08/08 20:48:00 - mmengine - INFO - Epoch(train) [11][680/1879] lr: 2.0000e-02 eta: 18:17:59 time: 0.8495 data_time: 0.0179 memory: 19726 grad_norm: 3.8920 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8327 loss: 1.8327 2022/08/08 20:48:17 - mmengine - INFO - Epoch(train) [11][700/1879] lr: 2.0000e-02 eta: 18:17:40 time: 0.8589 data_time: 0.0182 memory: 19726 grad_norm: 3.7901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6590 loss: 1.6590 2022/08/08 20:48:35 - mmengine - INFO - Epoch(train) [11][720/1879] lr: 2.0000e-02 eta: 18:17:21 time: 0.8652 data_time: 0.0285 memory: 19726 grad_norm: 3.7702 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6088 loss: 1.6088 2022/08/08 20:48:52 - mmengine - INFO - Epoch(train) [11][740/1879] lr: 2.0000e-02 eta: 18:17:00 time: 0.8484 data_time: 0.0174 memory: 19726 grad_norm: 3.8893 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 1.8356 loss: 1.8356 2022/08/08 20:49:09 - mmengine - INFO - Epoch(train) [11][760/1879] lr: 2.0000e-02 eta: 18:16:40 time: 0.8544 data_time: 0.0181 memory: 19726 grad_norm: 3.7965 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7982 loss: 1.7982 2022/08/08 20:49:26 - mmengine - INFO - Epoch(train) [11][780/1879] lr: 2.0000e-02 eta: 18:16:21 time: 0.8621 data_time: 0.0249 memory: 19726 grad_norm: 3.8276 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8468 loss: 1.8468 2022/08/08 20:49:43 - mmengine - INFO - Epoch(train) [11][800/1879] lr: 2.0000e-02 eta: 18:16:00 time: 0.8471 data_time: 0.0176 memory: 19726 grad_norm: 3.8555 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7654 loss: 1.7654 2022/08/08 20:50:00 - mmengine - INFO - Epoch(train) [11][820/1879] lr: 2.0000e-02 eta: 18:15:40 time: 0.8496 data_time: 0.0185 memory: 19726 grad_norm: 3.8445 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7103 loss: 1.7103 2022/08/08 20:50:18 - mmengine - INFO - Epoch(train) [11][840/1879] lr: 2.0000e-02 eta: 18:15:22 time: 0.8827 data_time: 0.0261 memory: 19726 grad_norm: 3.7367 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7058 loss: 1.7058 2022/08/08 20:50:35 - mmengine - INFO - Epoch(train) [11][860/1879] lr: 2.0000e-02 eta: 18:15:03 time: 0.8598 data_time: 0.0223 memory: 19726 grad_norm: 3.9139 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7785 loss: 1.7785 2022/08/08 20:50:52 - mmengine - INFO - Epoch(train) [11][880/1879] lr: 2.0000e-02 eta: 18:14:43 time: 0.8565 data_time: 0.0246 memory: 19726 grad_norm: 3.8518 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5072 loss: 1.5072 2022/08/08 20:51:09 - mmengine - INFO - Epoch(train) [11][900/1879] lr: 2.0000e-02 eta: 18:14:22 time: 0.8479 data_time: 0.0185 memory: 19726 grad_norm: 3.7108 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4503 loss: 1.4503 2022/08/08 20:51:26 - mmengine - INFO - Epoch(train) [11][920/1879] lr: 2.0000e-02 eta: 18:14:02 time: 0.8540 data_time: 0.0192 memory: 19726 grad_norm: 3.7883 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8537 loss: 1.8537 2022/08/08 20:51:43 - mmengine - INFO - Epoch(train) [11][940/1879] lr: 2.0000e-02 eta: 18:13:42 time: 0.8470 data_time: 0.0177 memory: 19726 grad_norm: 3.8875 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7447 loss: 1.7447 2022/08/08 20:52:00 - mmengine - INFO - Epoch(train) [11][960/1879] lr: 2.0000e-02 eta: 18:13:22 time: 0.8521 data_time: 0.0177 memory: 19726 grad_norm: 3.8691 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7067 loss: 1.7067 2022/08/08 20:52:17 - mmengine - INFO - Epoch(train) [11][980/1879] lr: 2.0000e-02 eta: 18:13:02 time: 0.8563 data_time: 0.0192 memory: 19726 grad_norm: 3.7470 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6032 loss: 1.6032 2022/08/08 20:52:34 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 2.0000e-02 eta: 18:12:42 time: 0.8537 data_time: 0.0179 memory: 19726 grad_norm: 3.7903 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6521 loss: 1.6521 2022/08/08 20:52:51 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 2.0000e-02 eta: 18:12:22 time: 0.8515 data_time: 0.0185 memory: 19726 grad_norm: 3.8784 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7170 loss: 1.7170 2022/08/08 20:53:08 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 2.0000e-02 eta: 18:12:02 time: 0.8475 data_time: 0.0196 memory: 19726 grad_norm: 3.8391 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6399 loss: 1.6399 2022/08/08 20:53:25 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 2.0000e-02 eta: 18:11:42 time: 0.8532 data_time: 0.0186 memory: 19726 grad_norm: 3.7547 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8043 loss: 1.8043 2022/08/08 20:53:42 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 2.0000e-02 eta: 18:11:21 time: 0.8498 data_time: 0.0185 memory: 19726 grad_norm: 3.8245 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0387 loss: 2.0387 2022/08/08 20:53:59 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 2.0000e-02 eta: 18:11:01 time: 0.8464 data_time: 0.0169 memory: 19726 grad_norm: 3.7415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7095 loss: 1.7095 2022/08/08 20:54:16 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 2.0000e-02 eta: 18:10:41 time: 0.8567 data_time: 0.0186 memory: 19726 grad_norm: 3.7556 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7457 loss: 1.7457 2022/08/08 20:54:33 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 2.0000e-02 eta: 18:10:21 time: 0.8483 data_time: 0.0174 memory: 19726 grad_norm: 3.9038 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6718 loss: 1.6718 2022/08/08 20:54:50 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 2.0000e-02 eta: 18:10:01 time: 0.8494 data_time: 0.0186 memory: 19726 grad_norm: 3.8024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7093 loss: 1.7093 2022/08/08 20:55:07 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 2.0000e-02 eta: 18:09:41 time: 0.8566 data_time: 0.0188 memory: 19726 grad_norm: 3.7985 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8222 loss: 1.8222 2022/08/08 20:55:25 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 2.0000e-02 eta: 18:09:22 time: 0.8666 data_time: 0.0253 memory: 19726 grad_norm: 3.7795 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7970 loss: 1.7970 2022/08/08 20:55:33 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 20:55:42 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 2.0000e-02 eta: 18:09:02 time: 0.8481 data_time: 0.0173 memory: 19726 grad_norm: 3.7852 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6305 loss: 1.6305 2022/08/08 20:55:59 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 2.0000e-02 eta: 18:08:41 time: 0.8484 data_time: 0.0186 memory: 19726 grad_norm: 3.8560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8026 loss: 1.8026 2022/08/08 20:56:16 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 2.0000e-02 eta: 18:08:22 time: 0.8536 data_time: 0.0184 memory: 19726 grad_norm: 3.7554 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5441 loss: 1.5441 2022/08/08 20:56:33 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 2.0000e-02 eta: 18:08:01 time: 0.8476 data_time: 0.0179 memory: 19726 grad_norm: 3.8354 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0905 loss: 2.0905 2022/08/08 20:56:50 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 2.0000e-02 eta: 18:07:41 time: 0.8520 data_time: 0.0186 memory: 19726 grad_norm: 3.7155 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5501 loss: 1.5501 2022/08/08 20:57:07 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 2.0000e-02 eta: 18:07:21 time: 0.8527 data_time: 0.0195 memory: 19726 grad_norm: 3.7816 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6162 loss: 1.6162 2022/08/08 20:57:24 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 2.0000e-02 eta: 18:07:01 time: 0.8469 data_time: 0.0182 memory: 19726 grad_norm: 3.7366 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4515 loss: 1.4515 2022/08/08 20:57:41 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 2.0000e-02 eta: 18:06:41 time: 0.8496 data_time: 0.0185 memory: 19726 grad_norm: 3.8256 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3997 loss: 1.3997 2022/08/08 20:57:58 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 2.0000e-02 eta: 18:06:21 time: 0.8601 data_time: 0.0186 memory: 19726 grad_norm: 3.8748 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7488 loss: 1.7488 2022/08/08 20:58:15 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 2.0000e-02 eta: 18:06:02 time: 0.8559 data_time: 0.0187 memory: 19726 grad_norm: 3.8346 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8402 loss: 1.8402 2022/08/08 20:58:32 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 2.0000e-02 eta: 18:05:41 time: 0.8475 data_time: 0.0174 memory: 19726 grad_norm: 3.7472 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8094 loss: 1.8094 2022/08/08 20:58:49 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 2.0000e-02 eta: 18:05:22 time: 0.8523 data_time: 0.0187 memory: 19726 grad_norm: 3.8581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7080 loss: 1.7080 2022/08/08 20:59:06 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 2.0000e-02 eta: 18:05:01 time: 0.8480 data_time: 0.0188 memory: 19726 grad_norm: 3.7780 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8105 loss: 1.8105 2022/08/08 20:59:23 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 2.0000e-02 eta: 18:04:41 time: 0.8472 data_time: 0.0180 memory: 19726 grad_norm: 3.8319 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5848 loss: 1.5848 2022/08/08 20:59:40 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 2.0000e-02 eta: 18:04:21 time: 0.8507 data_time: 0.0184 memory: 19726 grad_norm: 3.7448 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6967 loss: 1.6967 2022/08/08 20:59:57 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 2.0000e-02 eta: 18:04:01 time: 0.8514 data_time: 0.0186 memory: 19726 grad_norm: 3.8196 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6381 loss: 1.6381 2022/08/08 21:00:14 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 2.0000e-02 eta: 18:03:41 time: 0.8568 data_time: 0.0222 memory: 19726 grad_norm: 3.8473 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6627 loss: 1.6627 2022/08/08 21:00:32 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 2.0000e-02 eta: 18:03:23 time: 0.8722 data_time: 0.0223 memory: 19726 grad_norm: 3.8442 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8989 loss: 1.8989 2022/08/08 21:00:49 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 2.0000e-02 eta: 18:03:03 time: 0.8500 data_time: 0.0190 memory: 19726 grad_norm: 3.8556 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6620 loss: 1.6620 2022/08/08 21:01:06 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 2.0000e-02 eta: 18:02:43 time: 0.8480 data_time: 0.0191 memory: 19726 grad_norm: 3.8344 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5628 loss: 1.5628 2022/08/08 21:01:23 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 2.0000e-02 eta: 18:02:23 time: 0.8531 data_time: 0.0174 memory: 19726 grad_norm: 3.8090 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8645 loss: 1.8645 2022/08/08 21:01:40 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 2.0000e-02 eta: 18:02:03 time: 0.8494 data_time: 0.0172 memory: 19726 grad_norm: 3.7921 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6716 loss: 1.6716 2022/08/08 21:01:57 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 2.0000e-02 eta: 18:01:42 time: 0.8471 data_time: 0.0198 memory: 19726 grad_norm: 3.8838 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5896 loss: 1.5896 2022/08/08 21:02:14 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 2.0000e-02 eta: 18:01:23 time: 0.8529 data_time: 0.0185 memory: 19726 grad_norm: 3.7795 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5963 loss: 1.5963 2022/08/08 21:02:31 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 2.0000e-02 eta: 18:01:03 time: 0.8537 data_time: 0.0186 memory: 19726 grad_norm: 3.8396 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6340 loss: 1.6340 2022/08/08 21:02:48 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 2.0000e-02 eta: 18:00:43 time: 0.8526 data_time: 0.0179 memory: 19726 grad_norm: 3.7854 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7346 loss: 1.7346 2022/08/08 21:03:05 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 2.0000e-02 eta: 18:00:23 time: 0.8457 data_time: 0.0176 memory: 19726 grad_norm: 3.7538 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7970 loss: 1.7970 2022/08/08 21:03:22 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 2.0000e-02 eta: 18:00:02 time: 0.8459 data_time: 0.0180 memory: 19726 grad_norm: 3.7396 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6849 loss: 1.6849 2022/08/08 21:03:39 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 2.0000e-02 eta: 17:59:42 time: 0.8472 data_time: 0.0184 memory: 19726 grad_norm: 3.7482 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6412 loss: 1.6412 2022/08/08 21:03:56 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 2.0000e-02 eta: 17:59:22 time: 0.8513 data_time: 0.0192 memory: 19726 grad_norm: 3.7347 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7109 loss: 1.7109 2022/08/08 21:04:13 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 2.0000e-02 eta: 17:59:02 time: 0.8492 data_time: 0.0173 memory: 19726 grad_norm: 3.8436 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6283 loss: 1.6283 2022/08/08 21:04:30 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 2.0000e-02 eta: 17:58:42 time: 0.8514 data_time: 0.0181 memory: 19726 grad_norm: 3.7703 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7066 loss: 1.7066 2022/08/08 21:04:47 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 2.0000e-02 eta: 17:58:23 time: 0.8528 data_time: 0.0208 memory: 19726 grad_norm: 3.8100 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8931 loss: 1.8931 2022/08/08 21:05:02 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 21:05:02 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 2.0000e-02 eta: 17:58:23 time: 0.8207 data_time: 0.0171 memory: 19726 grad_norm: 3.9291 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 1.7966 loss: 1.7966 2022/08/08 21:05:25 - mmengine - INFO - Epoch(val) [11][20/155] eta: 0:02:34 time: 1.1442 data_time: 0.9011 memory: 2699 2022/08/08 21:05:35 - mmengine - INFO - Epoch(val) [11][40/155] eta: 0:00:55 time: 0.4812 data_time: 0.2422 memory: 2699 2022/08/08 21:05:50 - mmengine - INFO - Epoch(val) [11][60/155] eta: 0:01:13 time: 0.7736 data_time: 0.5352 memory: 2699 2022/08/08 21:06:01 - mmengine - INFO - Epoch(val) [11][80/155] eta: 0:00:38 time: 0.5120 data_time: 0.2740 memory: 2699 2022/08/08 21:06:13 - mmengine - INFO - Epoch(val) [11][100/155] eta: 0:00:35 time: 0.6383 data_time: 0.4002 memory: 2699 2022/08/08 21:06:28 - mmengine - INFO - Epoch(val) [11][120/155] eta: 0:00:25 time: 0.7161 data_time: 0.4807 memory: 2699 2022/08/08 21:06:42 - mmengine - INFO - Epoch(val) [11][140/155] eta: 0:00:10 time: 0.6913 data_time: 0.4585 memory: 2699 2022/08/08 21:06:52 - mmengine - INFO - Epoch(val) [11][155/155] acc/top1: 0.6035 acc/top5: 0.8386 acc/mean1: 0.6036 2022/08/08 21:06:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/08/08 21:06:54 - mmengine - INFO - The best checkpoint with 0.6035 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/08/08 21:07:14 - mmengine - INFO - Epoch(train) [12][20/1879] lr: 2.0000e-02 eta: 17:57:00 time: 1.0441 data_time: 0.2036 memory: 19726 grad_norm: 3.7920 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7322 loss: 1.7322 2022/08/08 21:07:31 - mmengine - INFO - Epoch(train) [12][40/1879] lr: 2.0000e-02 eta: 17:56:40 time: 0.8452 data_time: 0.0171 memory: 19726 grad_norm: 3.8156 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3895 loss: 1.3895 2022/08/08 21:07:48 - mmengine - INFO - Epoch(train) [12][60/1879] lr: 2.0000e-02 eta: 17:56:20 time: 0.8524 data_time: 0.0184 memory: 19726 grad_norm: 3.8126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6877 loss: 1.6877 2022/08/08 21:08:05 - mmengine - INFO - Epoch(train) [12][80/1879] lr: 2.0000e-02 eta: 17:56:00 time: 0.8447 data_time: 0.0173 memory: 19726 grad_norm: 3.6645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5039 loss: 1.5039 2022/08/08 21:08:22 - mmengine - INFO - Epoch(train) [12][100/1879] lr: 2.0000e-02 eta: 17:55:40 time: 0.8454 data_time: 0.0179 memory: 19726 grad_norm: 3.7157 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6364 loss: 1.6364 2022/08/08 21:08:39 - mmengine - INFO - Epoch(train) [12][120/1879] lr: 2.0000e-02 eta: 17:55:20 time: 0.8483 data_time: 0.0177 memory: 19726 grad_norm: 3.8140 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7993 loss: 1.7993 2022/08/08 21:08:56 - mmengine - INFO - Epoch(train) [12][140/1879] lr: 2.0000e-02 eta: 17:55:00 time: 0.8545 data_time: 0.0183 memory: 19726 grad_norm: 3.8683 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6172 loss: 1.6172 2022/08/08 21:09:13 - mmengine - INFO - Epoch(train) [12][160/1879] lr: 2.0000e-02 eta: 17:54:40 time: 0.8478 data_time: 0.0183 memory: 19726 grad_norm: 3.8581 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7273 loss: 1.7273 2022/08/08 21:09:30 - mmengine - INFO - Epoch(train) [12][180/1879] lr: 2.0000e-02 eta: 17:54:21 time: 0.8537 data_time: 0.0183 memory: 19726 grad_norm: 3.6210 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5315 loss: 1.5315 2022/08/08 21:09:47 - mmengine - INFO - Epoch(train) [12][200/1879] lr: 2.0000e-02 eta: 17:54:01 time: 0.8500 data_time: 0.0185 memory: 19726 grad_norm: 3.7304 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6369 loss: 1.6369 2022/08/08 21:10:04 - mmengine - INFO - Epoch(train) [12][220/1879] lr: 2.0000e-02 eta: 17:53:41 time: 0.8525 data_time: 0.0189 memory: 19726 grad_norm: 3.8013 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5609 loss: 1.5609 2022/08/08 21:10:21 - mmengine - INFO - Epoch(train) [12][240/1879] lr: 2.0000e-02 eta: 17:53:22 time: 0.8566 data_time: 0.0197 memory: 19726 grad_norm: 3.7801 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6473 loss: 1.6473 2022/08/08 21:10:39 - mmengine - INFO - Epoch(train) [12][260/1879] lr: 2.0000e-02 eta: 17:53:02 time: 0.8587 data_time: 0.0180 memory: 19726 grad_norm: 3.7902 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3922 loss: 1.3922 2022/08/08 21:10:56 - mmengine - INFO - Epoch(train) [12][280/1879] lr: 2.0000e-02 eta: 17:52:42 time: 0.8484 data_time: 0.0182 memory: 19726 grad_norm: 3.7900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4348 loss: 1.4348 2022/08/08 21:11:13 - mmengine - INFO - Epoch(train) [12][300/1879] lr: 2.0000e-02 eta: 17:52:22 time: 0.8463 data_time: 0.0190 memory: 19726 grad_norm: 3.8350 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8834 loss: 1.8834 2022/08/08 21:11:30 - mmengine - INFO - Epoch(train) [12][320/1879] lr: 2.0000e-02 eta: 17:52:02 time: 0.8495 data_time: 0.0181 memory: 19726 grad_norm: 3.7619 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7066 loss: 1.7066 2022/08/08 21:11:39 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 21:11:46 - mmengine - INFO - Epoch(train) [12][340/1879] lr: 2.0000e-02 eta: 17:51:42 time: 0.8464 data_time: 0.0187 memory: 19726 grad_norm: 3.8495 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6893 loss: 1.6893 2022/08/08 21:12:03 - mmengine - INFO - Epoch(train) [12][360/1879] lr: 2.0000e-02 eta: 17:51:22 time: 0.8450 data_time: 0.0168 memory: 19726 grad_norm: 3.9125 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7033 loss: 1.7033 2022/08/08 21:12:20 - mmengine - INFO - Epoch(train) [12][380/1879] lr: 2.0000e-02 eta: 17:51:02 time: 0.8473 data_time: 0.0191 memory: 19726 grad_norm: 3.8697 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5730 loss: 1.5730 2022/08/08 21:12:37 - mmengine - INFO - Epoch(train) [12][400/1879] lr: 2.0000e-02 eta: 17:50:42 time: 0.8465 data_time: 0.0186 memory: 19726 grad_norm: 3.8575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3584 loss: 1.3584 2022/08/08 21:12:54 - mmengine - INFO - Epoch(train) [12][420/1879] lr: 2.0000e-02 eta: 17:50:22 time: 0.8466 data_time: 0.0188 memory: 19726 grad_norm: 3.8164 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6365 loss: 1.6365 2022/08/08 21:13:11 - mmengine - INFO - Epoch(train) [12][440/1879] lr: 2.0000e-02 eta: 17:50:02 time: 0.8440 data_time: 0.0181 memory: 19726 grad_norm: 3.8567 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6475 loss: 1.6475 2022/08/08 21:13:28 - mmengine - INFO - Epoch(train) [12][460/1879] lr: 2.0000e-02 eta: 17:49:42 time: 0.8479 data_time: 0.0190 memory: 19726 grad_norm: 3.8664 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7781 loss: 1.7781 2022/08/08 21:13:45 - mmengine - INFO - Epoch(train) [12][480/1879] lr: 2.0000e-02 eta: 17:49:22 time: 0.8533 data_time: 0.0188 memory: 19726 grad_norm: 3.7878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7567 loss: 1.7567 2022/08/08 21:14:02 - mmengine - INFO - Epoch(train) [12][500/1879] lr: 2.0000e-02 eta: 17:49:02 time: 0.8454 data_time: 0.0179 memory: 19726 grad_norm: 3.7609 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6930 loss: 1.6930 2022/08/08 21:14:19 - mmengine - INFO - Epoch(train) [12][520/1879] lr: 2.0000e-02 eta: 17:48:43 time: 0.8607 data_time: 0.0192 memory: 19726 grad_norm: 3.7264 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6842 loss: 1.6842 2022/08/08 21:14:36 - mmengine - INFO - Epoch(train) [12][540/1879] lr: 2.0000e-02 eta: 17:48:23 time: 0.8453 data_time: 0.0184 memory: 19726 grad_norm: 3.9285 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5560 loss: 1.5560 2022/08/08 21:14:53 - mmengine - INFO - Epoch(train) [12][560/1879] lr: 2.0000e-02 eta: 17:48:03 time: 0.8492 data_time: 0.0174 memory: 19726 grad_norm: 3.7727 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6272 loss: 1.6272 2022/08/08 21:15:10 - mmengine - INFO - Epoch(train) [12][580/1879] lr: 2.0000e-02 eta: 17:47:44 time: 0.8502 data_time: 0.0192 memory: 19726 grad_norm: 3.8812 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6725 loss: 1.6725 2022/08/08 21:15:27 - mmengine - INFO - Epoch(train) [12][600/1879] lr: 2.0000e-02 eta: 17:47:24 time: 0.8483 data_time: 0.0203 memory: 19726 grad_norm: 3.6445 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6479 loss: 1.6479 2022/08/08 21:15:44 - mmengine - INFO - Epoch(train) [12][620/1879] lr: 2.0000e-02 eta: 17:47:04 time: 0.8527 data_time: 0.0173 memory: 19726 grad_norm: 3.7671 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6329 loss: 1.6329 2022/08/08 21:16:01 - mmengine - INFO - Epoch(train) [12][640/1879] lr: 2.0000e-02 eta: 17:46:44 time: 0.8506 data_time: 0.0191 memory: 19726 grad_norm: 3.8976 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8543 loss: 1.8543 2022/08/08 21:16:18 - mmengine - INFO - Epoch(train) [12][660/1879] lr: 2.0000e-02 eta: 17:46:25 time: 0.8503 data_time: 0.0187 memory: 19726 grad_norm: 3.7717 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6137 loss: 1.6137 2022/08/08 21:16:35 - mmengine - INFO - Epoch(train) [12][680/1879] lr: 2.0000e-02 eta: 17:46:05 time: 0.8480 data_time: 0.0188 memory: 19726 grad_norm: 3.8230 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7284 loss: 1.7284 2022/08/08 21:16:52 - mmengine - INFO - Epoch(train) [12][700/1879] lr: 2.0000e-02 eta: 17:45:45 time: 0.8500 data_time: 0.0184 memory: 19726 grad_norm: 3.7212 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5892 loss: 1.5892 2022/08/08 21:17:09 - mmengine - INFO - Epoch(train) [12][720/1879] lr: 2.0000e-02 eta: 17:45:25 time: 0.8494 data_time: 0.0187 memory: 19726 grad_norm: 3.8805 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5399 loss: 1.5399 2022/08/08 21:17:26 - mmengine - INFO - Epoch(train) [12][740/1879] lr: 2.0000e-02 eta: 17:45:06 time: 0.8536 data_time: 0.0254 memory: 19726 grad_norm: 3.7764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5307 loss: 1.5307 2022/08/08 21:17:43 - mmengine - INFO - Epoch(train) [12][760/1879] lr: 2.0000e-02 eta: 17:44:46 time: 0.8470 data_time: 0.0188 memory: 19726 grad_norm: 3.8812 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6794 loss: 1.6794 2022/08/08 21:18:00 - mmengine - INFO - Epoch(train) [12][780/1879] lr: 2.0000e-02 eta: 17:44:27 time: 0.8592 data_time: 0.0177 memory: 19726 grad_norm: 3.8323 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5324 loss: 1.5324 2022/08/08 21:18:17 - mmengine - INFO - Epoch(train) [12][800/1879] lr: 2.0000e-02 eta: 17:44:07 time: 0.8492 data_time: 0.0179 memory: 19726 grad_norm: 3.8307 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7032 loss: 1.7032 2022/08/08 21:18:34 - mmengine - INFO - Epoch(train) [12][820/1879] lr: 2.0000e-02 eta: 17:43:47 time: 0.8480 data_time: 0.0180 memory: 19726 grad_norm: 3.8174 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5417 loss: 1.5417 2022/08/08 21:18:51 - mmengine - INFO - Epoch(train) [12][840/1879] lr: 2.0000e-02 eta: 17:43:28 time: 0.8529 data_time: 0.0185 memory: 19726 grad_norm: 3.7993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6054 loss: 1.6054 2022/08/08 21:19:08 - mmengine - INFO - Epoch(train) [12][860/1879] lr: 2.0000e-02 eta: 17:43:08 time: 0.8551 data_time: 0.0246 memory: 19726 grad_norm: 3.8428 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5541 loss: 1.5541 2022/08/08 21:19:25 - mmengine - INFO - Epoch(train) [12][880/1879] lr: 2.0000e-02 eta: 17:42:49 time: 0.8499 data_time: 0.0182 memory: 19726 grad_norm: 3.8535 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7756 loss: 1.7756 2022/08/08 21:19:42 - mmengine - INFO - Epoch(train) [12][900/1879] lr: 2.0000e-02 eta: 17:42:29 time: 0.8506 data_time: 0.0181 memory: 19726 grad_norm: 3.7944 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7334 loss: 1.7334 2022/08/08 21:20:00 - mmengine - INFO - Epoch(train) [12][920/1879] lr: 2.0000e-02 eta: 17:42:10 time: 0.8597 data_time: 0.0195 memory: 19726 grad_norm: 3.7743 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6022 loss: 1.6022 2022/08/08 21:20:17 - mmengine - INFO - Epoch(train) [12][940/1879] lr: 2.0000e-02 eta: 17:41:51 time: 0.8603 data_time: 0.0205 memory: 19726 grad_norm: 3.8089 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6711 loss: 1.6711 2022/08/08 21:20:34 - mmengine - INFO - Epoch(train) [12][960/1879] lr: 2.0000e-02 eta: 17:41:32 time: 0.8568 data_time: 0.0192 memory: 19726 grad_norm: 3.7930 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6111 loss: 1.6111 2022/08/08 21:20:51 - mmengine - INFO - Epoch(train) [12][980/1879] lr: 2.0000e-02 eta: 17:41:12 time: 0.8497 data_time: 0.0186 memory: 19726 grad_norm: 3.9476 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7513 loss: 1.7513 2022/08/08 21:21:08 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 2.0000e-02 eta: 17:40:53 time: 0.8602 data_time: 0.0187 memory: 19726 grad_norm: 3.7634 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6938 loss: 1.6938 2022/08/08 21:21:25 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 2.0000e-02 eta: 17:40:33 time: 0.8477 data_time: 0.0189 memory: 19726 grad_norm: 3.7930 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8571 loss: 1.8571 2022/08/08 21:21:42 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 2.0000e-02 eta: 17:40:14 time: 0.8543 data_time: 0.0183 memory: 19726 grad_norm: 3.8416 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6260 loss: 1.6260 2022/08/08 21:21:59 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 2.0000e-02 eta: 17:39:55 time: 0.8577 data_time: 0.0269 memory: 19726 grad_norm: 3.6810 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7629 loss: 1.7629 2022/08/08 21:22:17 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 2.0000e-02 eta: 17:39:36 time: 0.8584 data_time: 0.0243 memory: 19726 grad_norm: 3.7468 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7854 loss: 1.7854 2022/08/08 21:22:34 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 2.0000e-02 eta: 17:39:16 time: 0.8482 data_time: 0.0186 memory: 19726 grad_norm: 3.8229 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5963 loss: 1.5963 2022/08/08 21:22:51 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 2.0000e-02 eta: 17:38:56 time: 0.8506 data_time: 0.0180 memory: 19726 grad_norm: 3.7243 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6752 loss: 1.6752 2022/08/08 21:23:08 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 2.0000e-02 eta: 17:38:37 time: 0.8541 data_time: 0.0246 memory: 19726 grad_norm: 3.8163 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7450 loss: 1.7450 2022/08/08 21:23:25 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 2.0000e-02 eta: 17:38:17 time: 0.8471 data_time: 0.0185 memory: 19726 grad_norm: 3.7404 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6555 loss: 1.6555 2022/08/08 21:23:42 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 2.0000e-02 eta: 17:37:58 time: 0.8525 data_time: 0.0175 memory: 19726 grad_norm: 3.8253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5936 loss: 1.5936 2022/08/08 21:23:59 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 2.0000e-02 eta: 17:37:38 time: 0.8523 data_time: 0.0238 memory: 19726 grad_norm: 3.7650 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5963 loss: 1.5963 2022/08/08 21:24:16 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 2.0000e-02 eta: 17:37:19 time: 0.8536 data_time: 0.0175 memory: 19726 grad_norm: 3.8378 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6655 loss: 1.6655 2022/08/08 21:24:33 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 2.0000e-02 eta: 17:37:00 time: 0.8529 data_time: 0.0184 memory: 19726 grad_norm: 3.8458 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5755 loss: 1.5755 2022/08/08 21:24:50 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 2.0000e-02 eta: 17:36:40 time: 0.8515 data_time: 0.0181 memory: 19726 grad_norm: 3.7187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5916 loss: 1.5916 2022/08/08 21:25:07 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 2.0000e-02 eta: 17:36:21 time: 0.8521 data_time: 0.0185 memory: 19726 grad_norm: 3.8371 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8129 loss: 1.8129 2022/08/08 21:25:24 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 2.0000e-02 eta: 17:36:01 time: 0.8497 data_time: 0.0187 memory: 19726 grad_norm: 3.8189 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7604 loss: 1.7604 2022/08/08 21:25:41 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 2.0000e-02 eta: 17:35:42 time: 0.8603 data_time: 0.0177 memory: 19726 grad_norm: 3.6855 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7425 loss: 1.7425 2022/08/08 21:25:50 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 21:25:58 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 2.0000e-02 eta: 17:35:22 time: 0.8455 data_time: 0.0192 memory: 19726 grad_norm: 3.7222 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5830 loss: 1.5830 2022/08/08 21:26:15 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 2.0000e-02 eta: 17:35:03 time: 0.8502 data_time: 0.0172 memory: 19726 grad_norm: 3.8526 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6469 loss: 1.6469 2022/08/08 21:26:32 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 2.0000e-02 eta: 17:34:43 time: 0.8492 data_time: 0.0184 memory: 19726 grad_norm: 3.7859 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6159 loss: 1.6159 2022/08/08 21:26:49 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 2.0000e-02 eta: 17:34:23 time: 0.8485 data_time: 0.0182 memory: 19726 grad_norm: 3.8886 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8082 loss: 1.8082 2022/08/08 21:27:06 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 2.0000e-02 eta: 17:34:04 time: 0.8497 data_time: 0.0187 memory: 19726 grad_norm: 3.7567 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6258 loss: 1.6258 2022/08/08 21:27:23 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 2.0000e-02 eta: 17:33:45 time: 0.8555 data_time: 0.0185 memory: 19726 grad_norm: 3.6850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4543 loss: 1.4543 2022/08/08 21:27:40 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 2.0000e-02 eta: 17:33:25 time: 0.8513 data_time: 0.0179 memory: 19726 grad_norm: 3.8830 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7805 loss: 1.7805 2022/08/08 21:27:57 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 2.0000e-02 eta: 17:33:06 time: 0.8597 data_time: 0.0170 memory: 19726 grad_norm: 3.7624 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7440 loss: 1.7440 2022/08/08 21:28:14 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 2.0000e-02 eta: 17:32:47 time: 0.8521 data_time: 0.0242 memory: 19726 grad_norm: 3.6873 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7064 loss: 1.7064 2022/08/08 21:28:32 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 2.0000e-02 eta: 17:32:28 time: 0.8554 data_time: 0.0186 memory: 19726 grad_norm: 3.9045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7741 loss: 1.7741 2022/08/08 21:28:49 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 2.0000e-02 eta: 17:32:09 time: 0.8612 data_time: 0.0266 memory: 19726 grad_norm: 3.8058 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6580 loss: 1.6580 2022/08/08 21:29:06 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 2.0000e-02 eta: 17:31:49 time: 0.8471 data_time: 0.0179 memory: 19726 grad_norm: 3.7622 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6528 loss: 1.6528 2022/08/08 21:29:23 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 2.0000e-02 eta: 17:31:30 time: 0.8537 data_time: 0.0184 memory: 19726 grad_norm: 3.7308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6487 loss: 1.6487 2022/08/08 21:29:40 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 2.0000e-02 eta: 17:31:11 time: 0.8574 data_time: 0.0256 memory: 19726 grad_norm: 3.7166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8261 loss: 1.8261 2022/08/08 21:29:57 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 2.0000e-02 eta: 17:30:51 time: 0.8506 data_time: 0.0184 memory: 19726 grad_norm: 3.6993 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7727 loss: 1.7727 2022/08/08 21:30:14 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 2.0000e-02 eta: 17:30:32 time: 0.8571 data_time: 0.0197 memory: 19726 grad_norm: 3.7131 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4209 loss: 1.4209 2022/08/08 21:30:31 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 2.0000e-02 eta: 17:30:13 time: 0.8497 data_time: 0.0181 memory: 19726 grad_norm: 3.6484 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6649 loss: 1.6649 2022/08/08 21:30:48 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 2.0000e-02 eta: 17:29:53 time: 0.8542 data_time: 0.0173 memory: 19726 grad_norm: 3.7922 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6199 loss: 1.6199 2022/08/08 21:31:05 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 2.0000e-02 eta: 17:29:34 time: 0.8464 data_time: 0.0174 memory: 19726 grad_norm: 3.6822 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5084 loss: 1.5084 2022/08/08 21:31:22 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 2.0000e-02 eta: 17:29:14 time: 0.8503 data_time: 0.0192 memory: 19726 grad_norm: 3.8450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4870 loss: 1.4870 2022/08/08 21:31:39 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 2.0000e-02 eta: 17:28:55 time: 0.8526 data_time: 0.0181 memory: 19726 grad_norm: 3.7859 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5405 loss: 1.5405 2022/08/08 21:31:56 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 2.0000e-02 eta: 17:28:35 time: 0.8449 data_time: 0.0176 memory: 19726 grad_norm: 3.7881 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4096 loss: 1.4096 2022/08/08 21:32:13 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 2.0000e-02 eta: 17:28:15 time: 0.8456 data_time: 0.0176 memory: 19726 grad_norm: 3.7635 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5751 loss: 1.5751 2022/08/08 21:32:30 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 2.0000e-02 eta: 17:27:56 time: 0.8531 data_time: 0.0186 memory: 19726 grad_norm: 3.7003 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7084 loss: 1.7084 2022/08/08 21:32:47 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 2.0000e-02 eta: 17:27:36 time: 0.8477 data_time: 0.0193 memory: 19726 grad_norm: 3.7715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7314 loss: 1.7314 2022/08/08 21:33:04 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 2.0000e-02 eta: 17:27:17 time: 0.8530 data_time: 0.0185 memory: 19726 grad_norm: 3.7879 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7900 loss: 1.7900 2022/08/08 21:33:21 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 2.0000e-02 eta: 17:26:58 time: 0.8584 data_time: 0.0183 memory: 19726 grad_norm: 3.8428 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6674 loss: 1.6674 2022/08/08 21:33:37 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 21:33:37 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 2.0000e-02 eta: 17:26:58 time: 0.8229 data_time: 0.0175 memory: 19726 grad_norm: 3.9841 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 1.8447 loss: 1.8447 2022/08/08 21:33:37 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/08 21:33:55 - mmengine - INFO - Epoch(val) [12][20/155] eta: 0:01:50 time: 0.8177 data_time: 0.5788 memory: 2699 2022/08/08 21:34:05 - mmengine - INFO - Epoch(val) [12][40/155] eta: 0:00:55 time: 0.4809 data_time: 0.2427 memory: 2699 2022/08/08 21:34:19 - mmengine - INFO - Epoch(val) [12][60/155] eta: 0:01:08 time: 0.7161 data_time: 0.4771 memory: 2699 2022/08/08 21:34:30 - mmengine - INFO - Epoch(val) [12][80/155] eta: 0:00:41 time: 0.5547 data_time: 0.3177 memory: 2699 2022/08/08 21:34:44 - mmengine - INFO - Epoch(val) [12][100/155] eta: 0:00:37 time: 0.6814 data_time: 0.4435 memory: 2699 2022/08/08 21:34:57 - mmengine - INFO - Epoch(val) [12][120/155] eta: 0:00:23 time: 0.6658 data_time: 0.4289 memory: 2699 2022/08/08 21:35:09 - mmengine - INFO - Epoch(val) [12][140/155] eta: 0:00:09 time: 0.6060 data_time: 0.3737 memory: 2699 2022/08/08 21:35:21 - mmengine - INFO - Epoch(val) [12][155/155] acc/top1: 0.6006 acc/top5: 0.8366 acc/mean1: 0.6006 2022/08/08 21:35:44 - mmengine - INFO - Epoch(train) [13][20/1879] lr: 2.0000e-02 eta: 17:25:48 time: 1.1517 data_time: 0.1909 memory: 19726 grad_norm: 3.8182 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6744 loss: 1.6744 2022/08/08 21:36:01 - mmengine - INFO - Epoch(train) [13][40/1879] lr: 2.0000e-02 eta: 17:25:29 time: 0.8477 data_time: 0.0170 memory: 19726 grad_norm: 3.7665 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6264 loss: 1.6264 2022/08/08 21:36:18 - mmengine - INFO - Epoch(train) [13][60/1879] lr: 2.0000e-02 eta: 17:25:09 time: 0.8474 data_time: 0.0203 memory: 19726 grad_norm: 3.8616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5935 loss: 1.5935 2022/08/08 21:36:35 - mmengine - INFO - Epoch(train) [13][80/1879] lr: 2.0000e-02 eta: 17:24:50 time: 0.8479 data_time: 0.0183 memory: 19726 grad_norm: 3.7853 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4624 loss: 1.4624 2022/08/08 21:36:52 - mmengine - INFO - Epoch(train) [13][100/1879] lr: 2.0000e-02 eta: 17:24:30 time: 0.8505 data_time: 0.0201 memory: 19726 grad_norm: 3.8777 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5975 loss: 1.5975 2022/08/08 21:37:09 - mmengine - INFO - Epoch(train) [13][120/1879] lr: 2.0000e-02 eta: 17:24:11 time: 0.8502 data_time: 0.0198 memory: 19726 grad_norm: 3.8975 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7134 loss: 1.7134 2022/08/08 21:37:26 - mmengine - INFO - Epoch(train) [13][140/1879] lr: 2.0000e-02 eta: 17:23:52 time: 0.8520 data_time: 0.0181 memory: 19726 grad_norm: 3.8585 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5820 loss: 1.5820 2022/08/08 21:37:43 - mmengine - INFO - Epoch(train) [13][160/1879] lr: 2.0000e-02 eta: 17:23:32 time: 0.8501 data_time: 0.0174 memory: 19726 grad_norm: 3.8092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5891 loss: 1.5891 2022/08/08 21:38:01 - mmengine - INFO - Epoch(train) [13][180/1879] lr: 2.0000e-02 eta: 17:23:14 time: 0.8670 data_time: 0.0181 memory: 19726 grad_norm: 3.7548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6415 loss: 1.6415 2022/08/08 21:38:18 - mmengine - INFO - Epoch(train) [13][200/1879] lr: 2.0000e-02 eta: 17:22:55 time: 0.8504 data_time: 0.0189 memory: 19726 grad_norm: 3.7806 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8645 loss: 1.8645 2022/08/08 21:38:35 - mmengine - INFO - Epoch(train) [13][220/1879] lr: 2.0000e-02 eta: 17:22:36 time: 0.8581 data_time: 0.0180 memory: 19726 grad_norm: 3.8202 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6071 loss: 1.6071 2022/08/08 21:38:52 - mmengine - INFO - Epoch(train) [13][240/1879] lr: 2.0000e-02 eta: 17:22:16 time: 0.8513 data_time: 0.0188 memory: 19726 grad_norm: 3.8279 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6831 loss: 1.6831 2022/08/08 21:39:09 - mmengine - INFO - Epoch(train) [13][260/1879] lr: 2.0000e-02 eta: 17:21:57 time: 0.8557 data_time: 0.0178 memory: 19726 grad_norm: 3.8306 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6127 loss: 1.6127 2022/08/08 21:39:26 - mmengine - INFO - Epoch(train) [13][280/1879] lr: 2.0000e-02 eta: 17:21:38 time: 0.8492 data_time: 0.0173 memory: 19726 grad_norm: 3.7902 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5422 loss: 1.5422 2022/08/08 21:39:43 - mmengine - INFO - Epoch(train) [13][300/1879] lr: 2.0000e-02 eta: 17:21:18 time: 0.8483 data_time: 0.0176 memory: 19726 grad_norm: 3.8095 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5724 loss: 1.5724 2022/08/08 21:40:00 - mmengine - INFO - Epoch(train) [13][320/1879] lr: 2.0000e-02 eta: 17:20:59 time: 0.8567 data_time: 0.0195 memory: 19726 grad_norm: 3.7597 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5316 loss: 1.5316 2022/08/08 21:40:17 - mmengine - INFO - Epoch(train) [13][340/1879] lr: 2.0000e-02 eta: 17:20:40 time: 0.8492 data_time: 0.0180 memory: 19726 grad_norm: 3.7716 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8485 loss: 1.8485 2022/08/08 21:40:34 - mmengine - INFO - Epoch(train) [13][360/1879] lr: 2.0000e-02 eta: 17:20:21 time: 0.8578 data_time: 0.0199 memory: 19726 grad_norm: 3.8482 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7022 loss: 1.7022 2022/08/08 21:40:51 - mmengine - INFO - Epoch(train) [13][380/1879] lr: 2.0000e-02 eta: 17:20:02 time: 0.8542 data_time: 0.0251 memory: 19726 grad_norm: 3.7377 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7016 loss: 1.7016 2022/08/08 21:41:08 - mmengine - INFO - Epoch(train) [13][400/1879] lr: 2.0000e-02 eta: 17:19:43 time: 0.8518 data_time: 0.0177 memory: 19726 grad_norm: 3.8629 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7572 loss: 1.7572 2022/08/08 21:41:26 - mmengine - INFO - Epoch(train) [13][420/1879] lr: 2.0000e-02 eta: 17:19:24 time: 0.8545 data_time: 0.0179 memory: 19726 grad_norm: 3.8800 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4987 loss: 1.4987 2022/08/08 21:41:43 - mmengine - INFO - Epoch(train) [13][440/1879] lr: 2.0000e-02 eta: 17:19:05 time: 0.8589 data_time: 0.0188 memory: 19726 grad_norm: 3.7642 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4936 loss: 1.4936 2022/08/08 21:41:53 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 21:42:00 - mmengine - INFO - Epoch(train) [13][460/1879] lr: 2.0000e-02 eta: 17:18:46 time: 0.8491 data_time: 0.0180 memory: 19726 grad_norm: 3.8283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6551 loss: 1.6551 2022/08/08 21:42:17 - mmengine - INFO - Epoch(train) [13][480/1879] lr: 2.0000e-02 eta: 17:18:26 time: 0.8513 data_time: 0.0179 memory: 19726 grad_norm: 3.7621 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5870 loss: 1.5870 2022/08/08 21:42:34 - mmengine - INFO - Epoch(train) [13][500/1879] lr: 2.0000e-02 eta: 17:18:07 time: 0.8519 data_time: 0.0185 memory: 19726 grad_norm: 3.7398 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7309 loss: 1.7309 2022/08/08 21:42:51 - mmengine - INFO - Epoch(train) [13][520/1879] lr: 2.0000e-02 eta: 17:17:48 time: 0.8485 data_time: 0.0197 memory: 19726 grad_norm: 3.7364 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3883 loss: 1.3883 2022/08/08 21:43:08 - mmengine - INFO - Epoch(train) [13][540/1879] lr: 2.0000e-02 eta: 17:17:29 time: 0.8540 data_time: 0.0188 memory: 19726 grad_norm: 3.8246 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5635 loss: 1.5635 2022/08/08 21:43:25 - mmengine - INFO - Epoch(train) [13][560/1879] lr: 2.0000e-02 eta: 17:17:09 time: 0.8474 data_time: 0.0174 memory: 19726 grad_norm: 3.7714 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6671 loss: 1.6671 2022/08/08 21:43:42 - mmengine - INFO - Epoch(train) [13][580/1879] lr: 2.0000e-02 eta: 17:16:50 time: 0.8470 data_time: 0.0187 memory: 19726 grad_norm: 3.8282 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6286 loss: 1.6286 2022/08/08 21:43:59 - mmengine - INFO - Epoch(train) [13][600/1879] lr: 2.0000e-02 eta: 17:16:31 time: 0.8533 data_time: 0.0188 memory: 19726 grad_norm: 3.7090 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4569 loss: 1.4569 2022/08/08 21:44:16 - mmengine - INFO - Epoch(train) [13][620/1879] lr: 2.0000e-02 eta: 17:16:12 time: 0.8548 data_time: 0.0261 memory: 19726 grad_norm: 3.7468 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6940 loss: 1.6940 2022/08/08 21:44:33 - mmengine - INFO - Epoch(train) [13][640/1879] lr: 2.0000e-02 eta: 17:15:52 time: 0.8505 data_time: 0.0177 memory: 19726 grad_norm: 3.7633 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5520 loss: 1.5520 2022/08/08 21:44:50 - mmengine - INFO - Epoch(train) [13][660/1879] lr: 2.0000e-02 eta: 17:15:33 time: 0.8529 data_time: 0.0178 memory: 19726 grad_norm: 3.7497 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6403 loss: 1.6403 2022/08/08 21:45:07 - mmengine - INFO - Epoch(train) [13][680/1879] lr: 2.0000e-02 eta: 17:15:14 time: 0.8574 data_time: 0.0188 memory: 19726 grad_norm: 3.8299 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6476 loss: 1.6476 2022/08/08 21:45:24 - mmengine - INFO - Epoch(train) [13][700/1879] lr: 2.0000e-02 eta: 17:14:55 time: 0.8527 data_time: 0.0189 memory: 19726 grad_norm: 3.9220 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7158 loss: 1.7158 2022/08/08 21:45:41 - mmengine - INFO - Epoch(train) [13][720/1879] lr: 2.0000e-02 eta: 17:14:36 time: 0.8572 data_time: 0.0175 memory: 19726 grad_norm: 3.8324 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6256 loss: 1.6256 2022/08/08 21:45:58 - mmengine - INFO - Epoch(train) [13][740/1879] lr: 2.0000e-02 eta: 17:14:17 time: 0.8515 data_time: 0.0176 memory: 19726 grad_norm: 3.8126 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5387 loss: 1.5387 2022/08/08 21:46:15 - mmengine - INFO - Epoch(train) [13][760/1879] lr: 2.0000e-02 eta: 17:13:58 time: 0.8479 data_time: 0.0177 memory: 19726 grad_norm: 3.6367 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6934 loss: 1.6934 2022/08/08 21:46:32 - mmengine - INFO - Epoch(train) [13][780/1879] lr: 2.0000e-02 eta: 17:13:39 time: 0.8574 data_time: 0.0191 memory: 19726 grad_norm: 3.8287 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7514 loss: 1.7514 2022/08/08 21:46:49 - mmengine - INFO - Epoch(train) [13][800/1879] lr: 2.0000e-02 eta: 17:13:20 time: 0.8490 data_time: 0.0187 memory: 19726 grad_norm: 3.7368 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8031 loss: 1.8031 2022/08/08 21:47:07 - mmengine - INFO - Epoch(train) [13][820/1879] lr: 2.0000e-02 eta: 17:13:01 time: 0.8529 data_time: 0.0186 memory: 19726 grad_norm: 3.7369 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7043 loss: 1.7043 2022/08/08 21:47:24 - mmengine - INFO - Epoch(train) [13][840/1879] lr: 2.0000e-02 eta: 17:12:42 time: 0.8530 data_time: 0.0190 memory: 19726 grad_norm: 3.7268 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6254 loss: 1.6254 2022/08/08 21:47:41 - mmengine - INFO - Epoch(train) [13][860/1879] lr: 2.0000e-02 eta: 17:12:23 time: 0.8581 data_time: 0.0180 memory: 19726 grad_norm: 3.7415 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6267 loss: 1.6267 2022/08/08 21:47:58 - mmengine - INFO - Epoch(train) [13][880/1879] lr: 2.0000e-02 eta: 17:12:03 time: 0.8484 data_time: 0.0188 memory: 19726 grad_norm: 3.7517 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5453 loss: 1.5453 2022/08/08 21:48:15 - mmengine - INFO - Epoch(train) [13][900/1879] lr: 2.0000e-02 eta: 17:11:44 time: 0.8491 data_time: 0.0191 memory: 19726 grad_norm: 3.8221 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7623 loss: 1.7623 2022/08/08 21:48:32 - mmengine - INFO - Epoch(train) [13][920/1879] lr: 2.0000e-02 eta: 17:11:25 time: 0.8469 data_time: 0.0180 memory: 19726 grad_norm: 3.8350 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5145 loss: 1.5145 2022/08/08 21:48:49 - mmengine - INFO - Epoch(train) [13][940/1879] lr: 2.0000e-02 eta: 17:11:05 time: 0.8498 data_time: 0.0182 memory: 19726 grad_norm: 3.7568 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6223 loss: 1.6223 2022/08/08 21:49:06 - mmengine - INFO - Epoch(train) [13][960/1879] lr: 2.0000e-02 eta: 17:10:46 time: 0.8493 data_time: 0.0186 memory: 19726 grad_norm: 3.7830 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8736 loss: 1.8736 2022/08/08 21:49:23 - mmengine - INFO - Epoch(train) [13][980/1879] lr: 2.0000e-02 eta: 17:10:27 time: 0.8499 data_time: 0.0199 memory: 19726 grad_norm: 3.7367 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5003 loss: 1.5003 2022/08/08 21:49:40 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 2.0000e-02 eta: 17:10:08 time: 0.8488 data_time: 0.0188 memory: 19726 grad_norm: 3.7907 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6623 loss: 1.6623 2022/08/08 21:49:57 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 2.0000e-02 eta: 17:09:49 time: 0.8581 data_time: 0.0265 memory: 19726 grad_norm: 3.8572 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9315 loss: 1.9315 2022/08/08 21:50:14 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 2.0000e-02 eta: 17:09:30 time: 0.8512 data_time: 0.0179 memory: 19726 grad_norm: 3.7443 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7632 loss: 1.7632 2022/08/08 21:50:31 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 2.0000e-02 eta: 17:09:11 time: 0.8584 data_time: 0.0185 memory: 19726 grad_norm: 3.7897 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5444 loss: 1.5444 2022/08/08 21:50:48 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 2.0000e-02 eta: 17:08:52 time: 0.8456 data_time: 0.0170 memory: 19726 grad_norm: 3.8117 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4824 loss: 1.4824 2022/08/08 21:51:05 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 2.0000e-02 eta: 17:08:32 time: 0.8502 data_time: 0.0184 memory: 19726 grad_norm: 3.7831 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3829 loss: 1.3829 2022/08/08 21:51:22 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 2.0000e-02 eta: 17:08:14 time: 0.8585 data_time: 0.0194 memory: 19726 grad_norm: 3.7792 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7012 loss: 1.7012 2022/08/08 21:51:39 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 2.0000e-02 eta: 17:07:54 time: 0.8490 data_time: 0.0188 memory: 19726 grad_norm: 3.6942 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6784 loss: 1.6784 2022/08/08 21:51:56 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 2.0000e-02 eta: 17:07:35 time: 0.8519 data_time: 0.0174 memory: 19726 grad_norm: 3.7373 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5897 loss: 1.5897 2022/08/08 21:52:13 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 2.0000e-02 eta: 17:07:16 time: 0.8501 data_time: 0.0193 memory: 19726 grad_norm: 3.7802 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6213 loss: 1.6213 2022/08/08 21:52:30 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 2.0000e-02 eta: 17:06:57 time: 0.8444 data_time: 0.0176 memory: 19726 grad_norm: 3.7846 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6620 loss: 1.6620 2022/08/08 21:52:47 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 2.0000e-02 eta: 17:06:37 time: 0.8482 data_time: 0.0175 memory: 19726 grad_norm: 3.8049 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4967 loss: 1.4967 2022/08/08 21:53:04 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 2.0000e-02 eta: 17:06:18 time: 0.8501 data_time: 0.0190 memory: 19726 grad_norm: 3.8031 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5537 loss: 1.5537 2022/08/08 21:53:21 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 2.0000e-02 eta: 17:05:59 time: 0.8466 data_time: 0.0191 memory: 19726 grad_norm: 3.7820 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3935 loss: 1.3935 2022/08/08 21:53:38 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 2.0000e-02 eta: 17:05:40 time: 0.8545 data_time: 0.0189 memory: 19726 grad_norm: 3.7224 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7277 loss: 1.7277 2022/08/08 21:53:55 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 2.0000e-02 eta: 17:05:21 time: 0.8521 data_time: 0.0171 memory: 19726 grad_norm: 3.8559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5151 loss: 1.5151 2022/08/08 21:54:12 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 2.0000e-02 eta: 17:05:02 time: 0.8565 data_time: 0.0170 memory: 19726 grad_norm: 3.7807 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5993 loss: 1.5993 2022/08/08 21:54:29 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 2.0000e-02 eta: 17:04:42 time: 0.8452 data_time: 0.0170 memory: 19726 grad_norm: 3.7587 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6785 loss: 1.6785 2022/08/08 21:54:46 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 2.0000e-02 eta: 17:04:23 time: 0.8479 data_time: 0.0174 memory: 19726 grad_norm: 3.8877 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6316 loss: 1.6316 2022/08/08 21:55:03 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 2.0000e-02 eta: 17:04:04 time: 0.8574 data_time: 0.0186 memory: 19726 grad_norm: 3.8001 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8014 loss: 1.8014 2022/08/08 21:55:20 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 2.0000e-02 eta: 17:03:45 time: 0.8500 data_time: 0.0189 memory: 19726 grad_norm: 3.7407 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7641 loss: 1.7641 2022/08/08 21:55:37 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 2.0000e-02 eta: 17:03:26 time: 0.8557 data_time: 0.0198 memory: 19726 grad_norm: 3.7212 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6136 loss: 1.6136 2022/08/08 21:55:54 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 2.0000e-02 eta: 17:03:07 time: 0.8511 data_time: 0.0188 memory: 19726 grad_norm: 3.8680 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6169 loss: 1.6169 2022/08/08 21:56:04 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 21:56:11 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 2.0000e-02 eta: 17:02:48 time: 0.8470 data_time: 0.0183 memory: 19726 grad_norm: 3.7963 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6987 loss: 1.6987 2022/08/08 21:56:28 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 2.0000e-02 eta: 17:02:29 time: 0.8433 data_time: 0.0170 memory: 19726 grad_norm: 3.8244 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4497 loss: 1.4497 2022/08/08 21:56:45 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 2.0000e-02 eta: 17:02:09 time: 0.8515 data_time: 0.0185 memory: 19726 grad_norm: 3.9840 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7055 loss: 1.7055 2022/08/08 21:57:02 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 2.0000e-02 eta: 17:01:50 time: 0.8490 data_time: 0.0201 memory: 19726 grad_norm: 3.7553 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6750 loss: 1.6750 2022/08/08 21:57:19 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 2.0000e-02 eta: 17:01:31 time: 0.8529 data_time: 0.0174 memory: 19726 grad_norm: 3.6680 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7302 loss: 1.7302 2022/08/08 21:57:36 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 2.0000e-02 eta: 17:01:12 time: 0.8517 data_time: 0.0184 memory: 19726 grad_norm: 3.8010 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7678 loss: 1.7678 2022/08/08 21:57:53 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 2.0000e-02 eta: 17:00:54 time: 0.8572 data_time: 0.0195 memory: 19726 grad_norm: 3.7434 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7096 loss: 1.7096 2022/08/08 21:58:10 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 2.0000e-02 eta: 17:00:34 time: 0.8482 data_time: 0.0179 memory: 19726 grad_norm: 3.7735 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7567 loss: 1.7567 2022/08/08 21:58:27 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 2.0000e-02 eta: 17:00:15 time: 0.8517 data_time: 0.0234 memory: 19726 grad_norm: 3.8305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7585 loss: 1.7585 2022/08/08 21:58:44 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 2.0000e-02 eta: 16:59:56 time: 0.8487 data_time: 0.0182 memory: 19726 grad_norm: 3.8459 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9893 loss: 1.9893 2022/08/08 21:59:01 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 2.0000e-02 eta: 16:59:37 time: 0.8486 data_time: 0.0192 memory: 19726 grad_norm: 3.7024 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6940 loss: 1.6940 2022/08/08 21:59:18 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 2.0000e-02 eta: 16:59:18 time: 0.8525 data_time: 0.0181 memory: 19726 grad_norm: 3.7849 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6389 loss: 1.6389 2022/08/08 21:59:35 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 2.0000e-02 eta: 16:58:59 time: 0.8500 data_time: 0.0185 memory: 19726 grad_norm: 3.7831 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7279 loss: 1.7279 2022/08/08 21:59:53 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 2.0000e-02 eta: 16:58:40 time: 0.8557 data_time: 0.0243 memory: 19726 grad_norm: 3.8406 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7069 loss: 1.7069 2022/08/08 22:00:10 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 2.0000e-02 eta: 16:58:21 time: 0.8501 data_time: 0.0182 memory: 19726 grad_norm: 3.9451 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5880 loss: 1.5880 2022/08/08 22:00:27 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 2.0000e-02 eta: 16:58:02 time: 0.8525 data_time: 0.0182 memory: 19726 grad_norm: 3.9153 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8428 loss: 1.8428 2022/08/08 22:00:44 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 2.0000e-02 eta: 16:57:43 time: 0.8504 data_time: 0.0186 memory: 19726 grad_norm: 3.8645 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6755 loss: 1.6755 2022/08/08 22:01:01 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 2.0000e-02 eta: 16:57:24 time: 0.8475 data_time: 0.0188 memory: 19726 grad_norm: 3.7914 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7105 loss: 1.7105 2022/08/08 22:01:18 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 2.0000e-02 eta: 16:57:04 time: 0.8466 data_time: 0.0191 memory: 19726 grad_norm: 3.7451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7714 loss: 1.7714 2022/08/08 22:01:34 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 2.0000e-02 eta: 16:56:45 time: 0.8486 data_time: 0.0178 memory: 19726 grad_norm: 3.8630 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5237 loss: 1.5237 2022/08/08 22:01:51 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 2.0000e-02 eta: 16:56:26 time: 0.8506 data_time: 0.0187 memory: 19726 grad_norm: 3.7001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5847 loss: 1.5847 2022/08/08 22:02:07 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 22:02:07 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 2.0000e-02 eta: 16:56:26 time: 0.8228 data_time: 0.0180 memory: 19726 grad_norm: 3.7995 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5964 loss: 1.5964 2022/08/08 22:02:24 - mmengine - INFO - Epoch(val) [13][20/155] eta: 0:01:54 time: 0.8448 data_time: 0.6061 memory: 2699 2022/08/08 22:02:33 - mmengine - INFO - Epoch(val) [13][40/155] eta: 0:00:49 time: 0.4295 data_time: 0.1909 memory: 2699 2022/08/08 22:02:46 - mmengine - INFO - Epoch(val) [13][60/155] eta: 0:01:01 time: 0.6499 data_time: 0.4097 memory: 2699 2022/08/08 22:02:57 - mmengine - INFO - Epoch(val) [13][80/155] eta: 0:00:42 time: 0.5603 data_time: 0.3225 memory: 2699 2022/08/08 22:03:09 - mmengine - INFO - Epoch(val) [13][100/155] eta: 0:00:34 time: 0.6321 data_time: 0.3958 memory: 2699 2022/08/08 22:03:21 - mmengine - INFO - Epoch(val) [13][120/155] eta: 0:00:19 time: 0.5527 data_time: 0.3148 memory: 2699 2022/08/08 22:03:35 - mmengine - INFO - Epoch(val) [13][140/155] eta: 0:00:11 time: 0.7448 data_time: 0.5094 memory: 2699 2022/08/08 22:03:45 - mmengine - INFO - Epoch(val) [13][155/155] acc/top1: 0.6039 acc/top5: 0.8372 acc/mean1: 0.6037 2022/08/08 22:03:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/08/08 22:03:47 - mmengine - INFO - The best checkpoint with 0.6039 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/08/08 22:04:08 - mmengine - INFO - Epoch(train) [14][20/1879] lr: 2.0000e-02 eta: 16:55:14 time: 1.0431 data_time: 0.1943 memory: 19726 grad_norm: 3.7259 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3748 loss: 1.3748 2022/08/08 22:04:25 - mmengine - INFO - Epoch(train) [14][40/1879] lr: 2.0000e-02 eta: 16:54:55 time: 0.8438 data_time: 0.0176 memory: 19726 grad_norm: 3.7039 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5696 loss: 1.5696 2022/08/08 22:04:42 - mmengine - INFO - Epoch(train) [14][60/1879] lr: 2.0000e-02 eta: 16:54:36 time: 0.8501 data_time: 0.0179 memory: 19726 grad_norm: 3.7999 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4792 loss: 1.4792 2022/08/08 22:04:58 - mmengine - INFO - Epoch(train) [14][80/1879] lr: 2.0000e-02 eta: 16:54:16 time: 0.8438 data_time: 0.0176 memory: 19726 grad_norm: 3.8131 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5191 loss: 1.5191 2022/08/08 22:05:16 - mmengine - INFO - Epoch(train) [14][100/1879] lr: 2.0000e-02 eta: 16:53:58 time: 0.8569 data_time: 0.0225 memory: 19726 grad_norm: 3.8046 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8336 loss: 1.8336 2022/08/08 22:05:33 - mmengine - INFO - Epoch(train) [14][120/1879] lr: 2.0000e-02 eta: 16:53:39 time: 0.8558 data_time: 0.0202 memory: 19726 grad_norm: 3.8056 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5436 loss: 1.5436 2022/08/08 22:05:50 - mmengine - INFO - Epoch(train) [14][140/1879] lr: 2.0000e-02 eta: 16:53:20 time: 0.8478 data_time: 0.0180 memory: 19726 grad_norm: 3.7738 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4813 loss: 1.4813 2022/08/08 22:06:07 - mmengine - INFO - Epoch(train) [14][160/1879] lr: 2.0000e-02 eta: 16:53:01 time: 0.8530 data_time: 0.0184 memory: 19726 grad_norm: 3.9274 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5602 loss: 1.5602 2022/08/08 22:06:24 - mmengine - INFO - Epoch(train) [14][180/1879] lr: 2.0000e-02 eta: 16:52:42 time: 0.8497 data_time: 0.0181 memory: 19726 grad_norm: 3.8113 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5491 loss: 1.5491 2022/08/08 22:06:41 - mmengine - INFO - Epoch(train) [14][200/1879] lr: 2.0000e-02 eta: 16:52:23 time: 0.8482 data_time: 0.0177 memory: 19726 grad_norm: 3.6880 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4540 loss: 1.4540 2022/08/08 22:06:58 - mmengine - INFO - Epoch(train) [14][220/1879] lr: 2.0000e-02 eta: 16:52:04 time: 0.8522 data_time: 0.0182 memory: 19726 grad_norm: 3.7140 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4750 loss: 1.4750 2022/08/08 22:07:15 - mmengine - INFO - Epoch(train) [14][240/1879] lr: 2.0000e-02 eta: 16:51:45 time: 0.8491 data_time: 0.0183 memory: 19726 grad_norm: 3.8682 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5846 loss: 1.5846 2022/08/08 22:07:32 - mmengine - INFO - Epoch(train) [14][260/1879] lr: 2.0000e-02 eta: 16:51:26 time: 0.8528 data_time: 0.0183 memory: 19726 grad_norm: 3.7832 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4941 loss: 1.4941 2022/08/08 22:07:49 - mmengine - INFO - Epoch(train) [14][280/1879] lr: 2.0000e-02 eta: 16:51:08 time: 0.8564 data_time: 0.0184 memory: 19726 grad_norm: 3.8937 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6178 loss: 1.6178 2022/08/08 22:08:06 - mmengine - INFO - Epoch(train) [14][300/1879] lr: 2.0000e-02 eta: 16:50:49 time: 0.8537 data_time: 0.0186 memory: 19726 grad_norm: 3.8146 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6116 loss: 1.6116 2022/08/08 22:08:23 - mmengine - INFO - Epoch(train) [14][320/1879] lr: 2.0000e-02 eta: 16:50:30 time: 0.8522 data_time: 0.0207 memory: 19726 grad_norm: 3.8216 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5410 loss: 1.5410 2022/08/08 22:08:40 - mmengine - INFO - Epoch(train) [14][340/1879] lr: 2.0000e-02 eta: 16:50:11 time: 0.8467 data_time: 0.0174 memory: 19726 grad_norm: 3.8733 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4947 loss: 1.4947 2022/08/08 22:08:57 - mmengine - INFO - Epoch(train) [14][360/1879] lr: 2.0000e-02 eta: 16:49:52 time: 0.8566 data_time: 0.0183 memory: 19726 grad_norm: 3.8778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6759 loss: 1.6759 2022/08/08 22:09:14 - mmengine - INFO - Epoch(train) [14][380/1879] lr: 2.0000e-02 eta: 16:49:33 time: 0.8502 data_time: 0.0188 memory: 19726 grad_norm: 3.8108 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4359 loss: 1.4359 2022/08/08 22:09:31 - mmengine - INFO - Epoch(train) [14][400/1879] lr: 2.0000e-02 eta: 16:49:14 time: 0.8500 data_time: 0.0195 memory: 19726 grad_norm: 3.6375 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5870 loss: 1.5870 2022/08/08 22:09:48 - mmengine - INFO - Epoch(train) [14][420/1879] lr: 2.0000e-02 eta: 16:48:55 time: 0.8506 data_time: 0.0191 memory: 19726 grad_norm: 3.9327 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4358 loss: 1.4358 2022/08/08 22:10:05 - mmengine - INFO - Epoch(train) [14][440/1879] lr: 2.0000e-02 eta: 16:48:36 time: 0.8460 data_time: 0.0184 memory: 19726 grad_norm: 3.8361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5565 loss: 1.5565 2022/08/08 22:10:22 - mmengine - INFO - Epoch(train) [14][460/1879] lr: 2.0000e-02 eta: 16:48:18 time: 0.8723 data_time: 0.0235 memory: 19726 grad_norm: 3.8193 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5428 loss: 1.5428 2022/08/08 22:10:40 - mmengine - INFO - Epoch(train) [14][480/1879] lr: 2.0000e-02 eta: 16:48:00 time: 0.8528 data_time: 0.0173 memory: 19726 grad_norm: 3.7661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5702 loss: 1.5702 2022/08/08 22:10:57 - mmengine - INFO - Epoch(train) [14][500/1879] lr: 2.0000e-02 eta: 16:47:41 time: 0.8524 data_time: 0.0190 memory: 19726 grad_norm: 3.7796 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4095 loss: 1.4095 2022/08/08 22:11:14 - mmengine - INFO - Epoch(train) [14][520/1879] lr: 2.0000e-02 eta: 16:47:22 time: 0.8517 data_time: 0.0191 memory: 19726 grad_norm: 3.7838 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4897 loss: 1.4897 2022/08/08 22:11:31 - mmengine - INFO - Epoch(train) [14][540/1879] lr: 2.0000e-02 eta: 16:47:03 time: 0.8515 data_time: 0.0186 memory: 19726 grad_norm: 3.7379 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4236 loss: 1.4236 2022/08/08 22:11:48 - mmengine - INFO - Epoch(train) [14][560/1879] lr: 2.0000e-02 eta: 16:46:44 time: 0.8493 data_time: 0.0184 memory: 19726 grad_norm: 3.8325 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4713 loss: 1.4713 2022/08/08 22:11:59 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 22:12:05 - mmengine - INFO - Epoch(train) [14][580/1879] lr: 2.0000e-02 eta: 16:46:25 time: 0.8531 data_time: 0.0183 memory: 19726 grad_norm: 3.7919 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6285 loss: 1.6285 2022/08/08 22:12:22 - mmengine - INFO - Epoch(train) [14][600/1879] lr: 2.0000e-02 eta: 16:46:07 time: 0.8546 data_time: 0.0186 memory: 19726 grad_norm: 3.8492 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6662 loss: 1.6662 2022/08/08 22:12:39 - mmengine - INFO - Epoch(train) [14][620/1879] lr: 2.0000e-02 eta: 16:45:48 time: 0.8507 data_time: 0.0190 memory: 19726 grad_norm: 3.8030 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.3896 loss: 1.3896 2022/08/08 22:12:56 - mmengine - INFO - Epoch(train) [14][640/1879] lr: 2.0000e-02 eta: 16:45:29 time: 0.8528 data_time: 0.0172 memory: 19726 grad_norm: 3.7971 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6315 loss: 1.6315 2022/08/08 22:13:13 - mmengine - INFO - Epoch(train) [14][660/1879] lr: 2.0000e-02 eta: 16:45:10 time: 0.8490 data_time: 0.0187 memory: 19726 grad_norm: 3.7884 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6399 loss: 1.6399 2022/08/08 22:13:30 - mmengine - INFO - Epoch(train) [14][680/1879] lr: 2.0000e-02 eta: 16:44:51 time: 0.8474 data_time: 0.0178 memory: 19726 grad_norm: 3.7900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5722 loss: 1.5722 2022/08/08 22:13:47 - mmengine - INFO - Epoch(train) [14][700/1879] lr: 2.0000e-02 eta: 16:44:32 time: 0.8554 data_time: 0.0185 memory: 19726 grad_norm: 3.7661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5466 loss: 1.5466 2022/08/08 22:14:04 - mmengine - INFO - Epoch(train) [14][720/1879] lr: 2.0000e-02 eta: 16:44:14 time: 0.8671 data_time: 0.0180 memory: 19726 grad_norm: 3.7892 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5456 loss: 1.5456 2022/08/08 22:14:21 - mmengine - INFO - Epoch(train) [14][740/1879] lr: 2.0000e-02 eta: 16:43:55 time: 0.8474 data_time: 0.0179 memory: 19726 grad_norm: 3.8029 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6217 loss: 1.6217 2022/08/08 22:14:38 - mmengine - INFO - Epoch(train) [14][760/1879] lr: 2.0000e-02 eta: 16:43:36 time: 0.8484 data_time: 0.0175 memory: 19726 grad_norm: 3.8862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6570 loss: 1.6570 2022/08/08 22:14:55 - mmengine - INFO - Epoch(train) [14][780/1879] lr: 2.0000e-02 eta: 16:43:18 time: 0.8619 data_time: 0.0193 memory: 19726 grad_norm: 3.7247 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5175 loss: 1.5175 2022/08/08 22:15:13 - mmengine - INFO - Epoch(train) [14][800/1879] lr: 2.0000e-02 eta: 16:43:00 time: 0.8739 data_time: 0.0183 memory: 19726 grad_norm: 3.8449 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5338 loss: 1.5338 2022/08/08 22:15:30 - mmengine - INFO - Epoch(train) [14][820/1879] lr: 2.0000e-02 eta: 16:42:42 time: 0.8596 data_time: 0.0260 memory: 19726 grad_norm: 3.7726 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5377 loss: 1.5377 2022/08/08 22:15:47 - mmengine - INFO - Epoch(train) [14][840/1879] lr: 2.0000e-02 eta: 16:42:23 time: 0.8488 data_time: 0.0173 memory: 19726 grad_norm: 3.8958 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5465 loss: 1.5465 2022/08/08 22:16:04 - mmengine - INFO - Epoch(train) [14][860/1879] lr: 2.0000e-02 eta: 16:42:04 time: 0.8543 data_time: 0.0185 memory: 19726 grad_norm: 3.6991 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4633 loss: 1.4633 2022/08/08 22:16:21 - mmengine - INFO - Epoch(train) [14][880/1879] lr: 2.0000e-02 eta: 16:41:45 time: 0.8488 data_time: 0.0173 memory: 19726 grad_norm: 3.8826 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5342 loss: 1.5342 2022/08/08 22:16:38 - mmengine - INFO - Epoch(train) [14][900/1879] lr: 2.0000e-02 eta: 16:41:26 time: 0.8488 data_time: 0.0184 memory: 19726 grad_norm: 3.7166 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5786 loss: 1.5786 2022/08/08 22:16:55 - mmengine - INFO - Epoch(train) [14][920/1879] lr: 2.0000e-02 eta: 16:41:08 time: 0.8543 data_time: 0.0197 memory: 19726 grad_norm: 3.7848 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7882 loss: 1.7882 2022/08/08 22:17:12 - mmengine - INFO - Epoch(train) [14][940/1879] lr: 2.0000e-02 eta: 16:40:49 time: 0.8508 data_time: 0.0189 memory: 19726 grad_norm: 3.8690 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6172 loss: 1.6172 2022/08/08 22:17:29 - mmengine - INFO - Epoch(train) [14][960/1879] lr: 2.0000e-02 eta: 16:40:30 time: 0.8504 data_time: 0.0180 memory: 19726 grad_norm: 3.7396 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6110 loss: 1.6110 2022/08/08 22:17:46 - mmengine - INFO - Epoch(train) [14][980/1879] lr: 2.0000e-02 eta: 16:40:11 time: 0.8496 data_time: 0.0172 memory: 19726 grad_norm: 3.7953 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6931 loss: 1.6931 2022/08/08 22:18:03 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 2.0000e-02 eta: 16:39:52 time: 0.8491 data_time: 0.0182 memory: 19726 grad_norm: 3.8188 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.5218 loss: 1.5218 2022/08/08 22:18:20 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 2.0000e-02 eta: 16:39:33 time: 0.8492 data_time: 0.0178 memory: 19726 grad_norm: 3.8667 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6087 loss: 1.6087 2022/08/08 22:18:37 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 2.0000e-02 eta: 16:39:14 time: 0.8559 data_time: 0.0194 memory: 19726 grad_norm: 3.7570 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7036 loss: 1.7036 2022/08/08 22:18:54 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 2.0000e-02 eta: 16:38:56 time: 0.8555 data_time: 0.0185 memory: 19726 grad_norm: 3.9524 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5196 loss: 1.5196 2022/08/08 22:19:11 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 2.0000e-02 eta: 16:38:37 time: 0.8489 data_time: 0.0181 memory: 19726 grad_norm: 3.7605 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5446 loss: 1.5446 2022/08/08 22:19:28 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 2.0000e-02 eta: 16:38:18 time: 0.8480 data_time: 0.0194 memory: 19726 grad_norm: 3.9187 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6064 loss: 1.6064 2022/08/08 22:19:45 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 2.0000e-02 eta: 16:37:59 time: 0.8539 data_time: 0.0205 memory: 19726 grad_norm: 3.8204 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6276 loss: 1.6276 2022/08/08 22:20:02 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 2.0000e-02 eta: 16:37:41 time: 0.8509 data_time: 0.0182 memory: 19726 grad_norm: 3.8555 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6768 loss: 1.6768 2022/08/08 22:20:19 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 2.0000e-02 eta: 16:37:22 time: 0.8494 data_time: 0.0198 memory: 19726 grad_norm: 3.8976 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7089 loss: 1.7089 2022/08/08 22:20:37 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 2.0000e-02 eta: 16:37:03 time: 0.8524 data_time: 0.0186 memory: 19726 grad_norm: 3.8092 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5081 loss: 1.5081 2022/08/08 22:20:54 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 2.0000e-02 eta: 16:36:44 time: 0.8547 data_time: 0.0252 memory: 19726 grad_norm: 3.8445 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6717 loss: 1.6717 2022/08/08 22:21:11 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 2.0000e-02 eta: 16:36:25 time: 0.8497 data_time: 0.0178 memory: 19726 grad_norm: 3.6911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5144 loss: 1.5144 2022/08/08 22:21:28 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 2.0000e-02 eta: 16:36:07 time: 0.8550 data_time: 0.0191 memory: 19726 grad_norm: 3.8322 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7145 loss: 1.7145 2022/08/08 22:21:45 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 2.0000e-02 eta: 16:35:48 time: 0.8551 data_time: 0.0189 memory: 19726 grad_norm: 3.7384 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6376 loss: 1.6376 2022/08/08 22:22:02 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 2.0000e-02 eta: 16:35:29 time: 0.8471 data_time: 0.0178 memory: 19726 grad_norm: 3.7568 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7078 loss: 1.7078 2022/08/08 22:22:19 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 2.0000e-02 eta: 16:35:10 time: 0.8480 data_time: 0.0187 memory: 19726 grad_norm: 3.7671 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7228 loss: 1.7228 2022/08/08 22:22:36 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 2.0000e-02 eta: 16:34:52 time: 0.8520 data_time: 0.0192 memory: 19726 grad_norm: 3.7136 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7427 loss: 1.7427 2022/08/08 22:22:53 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 2.0000e-02 eta: 16:34:33 time: 0.8519 data_time: 0.0185 memory: 19726 grad_norm: 3.8154 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8284 loss: 1.8284 2022/08/08 22:23:10 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 2.0000e-02 eta: 16:34:15 time: 0.8609 data_time: 0.0248 memory: 19726 grad_norm: 3.7022 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5957 loss: 1.5957 2022/08/08 22:23:27 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 2.0000e-02 eta: 16:33:56 time: 0.8476 data_time: 0.0180 memory: 19726 grad_norm: 3.7756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5459 loss: 1.5459 2022/08/08 22:23:44 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 2.0000e-02 eta: 16:33:37 time: 0.8518 data_time: 0.0191 memory: 19726 grad_norm: 3.7670 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7665 loss: 1.7665 2022/08/08 22:24:01 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 2.0000e-02 eta: 16:33:18 time: 0.8489 data_time: 0.0178 memory: 19726 grad_norm: 3.7959 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6296 loss: 1.6296 2022/08/08 22:24:18 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 2.0000e-02 eta: 16:32:59 time: 0.8513 data_time: 0.0194 memory: 19726 grad_norm: 3.8647 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5285 loss: 1.5285 2022/08/08 22:24:35 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 2.0000e-02 eta: 16:32:41 time: 0.8564 data_time: 0.0165 memory: 19726 grad_norm: 3.7534 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7010 loss: 1.7010 2022/08/08 22:24:52 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 2.0000e-02 eta: 16:32:22 time: 0.8488 data_time: 0.0184 memory: 19726 grad_norm: 3.7874 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6059 loss: 1.6059 2022/08/08 22:25:09 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 2.0000e-02 eta: 16:32:03 time: 0.8515 data_time: 0.0189 memory: 19726 grad_norm: 3.9025 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6638 loss: 1.6638 2022/08/08 22:25:26 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 2.0000e-02 eta: 16:31:45 time: 0.8547 data_time: 0.0210 memory: 19726 grad_norm: 3.8708 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5657 loss: 1.5657 2022/08/08 22:25:43 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 2.0000e-02 eta: 16:31:26 time: 0.8477 data_time: 0.0180 memory: 19726 grad_norm: 3.8066 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6691 loss: 1.6691 2022/08/08 22:26:00 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 2.0000e-02 eta: 16:31:07 time: 0.8457 data_time: 0.0182 memory: 19726 grad_norm: 3.6923 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6421 loss: 1.6421 2022/08/08 22:26:11 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 22:26:17 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 2.0000e-02 eta: 16:30:48 time: 0.8476 data_time: 0.0184 memory: 19726 grad_norm: 3.7690 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4193 loss: 1.4193 2022/08/08 22:26:34 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 2.0000e-02 eta: 16:30:29 time: 0.8475 data_time: 0.0183 memory: 19726 grad_norm: 3.8654 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6784 loss: 1.6784 2022/08/08 22:26:51 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 2.0000e-02 eta: 16:30:10 time: 0.8499 data_time: 0.0185 memory: 19726 grad_norm: 3.7934 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7535 loss: 1.7535 2022/08/08 22:27:08 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 2.0000e-02 eta: 16:29:51 time: 0.8550 data_time: 0.0241 memory: 19726 grad_norm: 3.7296 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5698 loss: 1.5698 2022/08/08 22:27:25 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 2.0000e-02 eta: 16:29:33 time: 0.8503 data_time: 0.0181 memory: 19726 grad_norm: 3.8560 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5220 loss: 1.5220 2022/08/08 22:27:42 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 2.0000e-02 eta: 16:29:14 time: 0.8501 data_time: 0.0181 memory: 19726 grad_norm: 3.8255 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4785 loss: 1.4785 2022/08/08 22:27:59 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 2.0000e-02 eta: 16:28:55 time: 0.8531 data_time: 0.0192 memory: 19726 grad_norm: 3.9490 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7475 loss: 1.7475 2022/08/08 22:28:16 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 2.0000e-02 eta: 16:28:37 time: 0.8564 data_time: 0.0202 memory: 19726 grad_norm: 3.7986 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6246 loss: 1.6246 2022/08/08 22:28:33 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 2.0000e-02 eta: 16:28:18 time: 0.8501 data_time: 0.0200 memory: 19726 grad_norm: 3.7922 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4817 loss: 1.4817 2022/08/08 22:28:50 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 2.0000e-02 eta: 16:27:59 time: 0.8517 data_time: 0.0188 memory: 19726 grad_norm: 3.7821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6629 loss: 1.6629 2022/08/08 22:29:07 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 2.0000e-02 eta: 16:27:41 time: 0.8513 data_time: 0.0187 memory: 19726 grad_norm: 3.8730 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6145 loss: 1.6145 2022/08/08 22:29:24 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 2.0000e-02 eta: 16:27:22 time: 0.8503 data_time: 0.0195 memory: 19726 grad_norm: 3.8273 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7547 loss: 1.7547 2022/08/08 22:29:41 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 2.0000e-02 eta: 16:27:03 time: 0.8464 data_time: 0.0180 memory: 19726 grad_norm: 3.8697 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5811 loss: 1.5811 2022/08/08 22:29:58 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 2.0000e-02 eta: 16:26:44 time: 0.8490 data_time: 0.0190 memory: 19726 grad_norm: 3.7961 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5476 loss: 1.5476 2022/08/08 22:30:16 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 2.0000e-02 eta: 16:26:26 time: 0.8650 data_time: 0.0197 memory: 19726 grad_norm: 3.7725 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5719 loss: 1.5719 2022/08/08 22:30:31 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 22:30:31 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 2.0000e-02 eta: 16:26:26 time: 0.8316 data_time: 0.0181 memory: 19726 grad_norm: 3.8750 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 1.8057 loss: 1.8057 2022/08/08 22:30:48 - mmengine - INFO - Epoch(val) [14][20/155] eta: 0:01:49 time: 0.8083 data_time: 0.5663 memory: 2699 2022/08/08 22:30:58 - mmengine - INFO - Epoch(val) [14][40/155] eta: 0:00:59 time: 0.5210 data_time: 0.2821 memory: 2699 2022/08/08 22:31:10 - mmengine - INFO - Epoch(val) [14][60/155] eta: 0:00:54 time: 0.5719 data_time: 0.3332 memory: 2699 2022/08/08 22:31:23 - mmengine - INFO - Epoch(val) [14][80/155] eta: 0:00:51 time: 0.6899 data_time: 0.4531 memory: 2699 2022/08/08 22:31:35 - mmengine - INFO - Epoch(val) [14][100/155] eta: 0:00:30 time: 0.5566 data_time: 0.3143 memory: 2699 2022/08/08 22:31:47 - mmengine - INFO - Epoch(val) [14][120/155] eta: 0:00:22 time: 0.6435 data_time: 0.4060 memory: 2699 2022/08/08 22:31:55 - mmengine - INFO - Epoch(val) [14][140/155] eta: 0:00:05 time: 0.3842 data_time: 0.1477 memory: 2699 2022/08/08 22:32:04 - mmengine - INFO - Epoch(val) [14][155/155] acc/top1: 0.5955 acc/top5: 0.8346 acc/mean1: 0.5953 2022/08/08 22:32:27 - mmengine - INFO - Epoch(train) [15][20/1879] lr: 2.0000e-02 eta: 16:25:22 time: 1.1183 data_time: 0.2082 memory: 19726 grad_norm: 3.7274 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5876 loss: 1.5876 2022/08/08 22:32:44 - mmengine - INFO - Epoch(train) [15][40/1879] lr: 2.0000e-02 eta: 16:25:03 time: 0.8443 data_time: 0.0175 memory: 19726 grad_norm: 3.6551 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4443 loss: 1.4443 2022/08/08 22:33:01 - mmengine - INFO - Epoch(train) [15][60/1879] lr: 2.0000e-02 eta: 16:24:44 time: 0.8441 data_time: 0.0173 memory: 19726 grad_norm: 3.8733 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8187 loss: 1.8187 2022/08/08 22:33:18 - mmengine - INFO - Epoch(train) [15][80/1879] lr: 2.0000e-02 eta: 16:24:25 time: 0.8523 data_time: 0.0177 memory: 19726 grad_norm: 3.7417 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5812 loss: 1.5812 2022/08/08 22:33:35 - mmengine - INFO - Epoch(train) [15][100/1879] lr: 2.0000e-02 eta: 16:24:06 time: 0.8527 data_time: 0.0253 memory: 19726 grad_norm: 3.6777 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5779 loss: 1.5779 2022/08/08 22:33:52 - mmengine - INFO - Epoch(train) [15][120/1879] lr: 2.0000e-02 eta: 16:23:48 time: 0.8499 data_time: 0.0186 memory: 19726 grad_norm: 3.7273 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3492 loss: 1.3492 2022/08/08 22:34:09 - mmengine - INFO - Epoch(train) [15][140/1879] lr: 2.0000e-02 eta: 16:23:29 time: 0.8532 data_time: 0.0190 memory: 19726 grad_norm: 3.8543 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6974 loss: 1.6974 2022/08/08 22:34:26 - mmengine - INFO - Epoch(train) [15][160/1879] lr: 2.0000e-02 eta: 16:23:11 time: 0.8564 data_time: 0.0193 memory: 19726 grad_norm: 3.7833 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5993 loss: 1.5993 2022/08/08 22:34:43 - mmengine - INFO - Epoch(train) [15][180/1879] lr: 2.0000e-02 eta: 16:22:52 time: 0.8485 data_time: 0.0183 memory: 19726 grad_norm: 3.7747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3961 loss: 1.3961 2022/08/08 22:35:00 - mmengine - INFO - Epoch(train) [15][200/1879] lr: 2.0000e-02 eta: 16:22:33 time: 0.8478 data_time: 0.0183 memory: 19726 grad_norm: 3.8184 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4161 loss: 1.4161 2022/08/08 22:35:17 - mmengine - INFO - Epoch(train) [15][220/1879] lr: 2.0000e-02 eta: 16:22:15 time: 0.8541 data_time: 0.0192 memory: 19726 grad_norm: 3.8271 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7451 loss: 1.7451 2022/08/08 22:35:34 - mmengine - INFO - Epoch(train) [15][240/1879] lr: 2.0000e-02 eta: 16:21:56 time: 0.8505 data_time: 0.0171 memory: 19726 grad_norm: 3.8935 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5173 loss: 1.5173 2022/08/08 22:35:51 - mmengine - INFO - Epoch(train) [15][260/1879] lr: 2.0000e-02 eta: 16:21:37 time: 0.8518 data_time: 0.0174 memory: 19726 grad_norm: 3.8162 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5971 loss: 1.5971 2022/08/08 22:36:08 - mmengine - INFO - Epoch(train) [15][280/1879] lr: 2.0000e-02 eta: 16:21:19 time: 0.8529 data_time: 0.0192 memory: 19726 grad_norm: 3.7319 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6005 loss: 1.6005 2022/08/08 22:36:25 - mmengine - INFO - Epoch(train) [15][300/1879] lr: 2.0000e-02 eta: 16:21:00 time: 0.8521 data_time: 0.0199 memory: 19726 grad_norm: 3.7994 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7503 loss: 1.7503 2022/08/08 22:36:42 - mmengine - INFO - Epoch(train) [15][320/1879] lr: 2.0000e-02 eta: 16:20:41 time: 0.8482 data_time: 0.0183 memory: 19726 grad_norm: 3.9071 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4495 loss: 1.4495 2022/08/08 22:36:59 - mmengine - INFO - Epoch(train) [15][340/1879] lr: 2.0000e-02 eta: 16:20:23 time: 0.8508 data_time: 0.0189 memory: 19726 grad_norm: 3.7138 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5193 loss: 1.5193 2022/08/08 22:37:16 - mmengine - INFO - Epoch(train) [15][360/1879] lr: 2.0000e-02 eta: 16:20:04 time: 0.8503 data_time: 0.0195 memory: 19726 grad_norm: 3.7783 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5466 loss: 1.5466 2022/08/08 22:37:33 - mmengine - INFO - Epoch(train) [15][380/1879] lr: 2.0000e-02 eta: 16:19:46 time: 0.8544 data_time: 0.0184 memory: 19726 grad_norm: 3.7663 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3404 loss: 1.3404 2022/08/08 22:37:50 - mmengine - INFO - Epoch(train) [15][400/1879] lr: 2.0000e-02 eta: 16:19:27 time: 0.8573 data_time: 0.0183 memory: 19726 grad_norm: 3.7652 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4760 loss: 1.4760 2022/08/08 22:38:07 - mmengine - INFO - Epoch(train) [15][420/1879] lr: 2.0000e-02 eta: 16:19:09 time: 0.8523 data_time: 0.0196 memory: 19726 grad_norm: 3.8275 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6978 loss: 1.6978 2022/08/08 22:38:24 - mmengine - INFO - Epoch(train) [15][440/1879] lr: 2.0000e-02 eta: 16:18:50 time: 0.8441 data_time: 0.0174 memory: 19726 grad_norm: 3.8505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6853 loss: 1.6853 2022/08/08 22:38:41 - mmengine - INFO - Epoch(train) [15][460/1879] lr: 2.0000e-02 eta: 16:18:31 time: 0.8462 data_time: 0.0176 memory: 19726 grad_norm: 3.8310 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5547 loss: 1.5547 2022/08/08 22:38:58 - mmengine - INFO - Epoch(train) [15][480/1879] lr: 2.0000e-02 eta: 16:18:12 time: 0.8519 data_time: 0.0191 memory: 19726 grad_norm: 3.6866 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3851 loss: 1.3851 2022/08/08 22:39:15 - mmengine - INFO - Epoch(train) [15][500/1879] lr: 2.0000e-02 eta: 16:17:54 time: 0.8475 data_time: 0.0187 memory: 19726 grad_norm: 3.7095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5854 loss: 1.5854 2022/08/08 22:39:32 - mmengine - INFO - Epoch(train) [15][520/1879] lr: 2.0000e-02 eta: 16:17:35 time: 0.8473 data_time: 0.0184 memory: 19726 grad_norm: 3.9103 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7756 loss: 1.7756 2022/08/08 22:39:49 - mmengine - INFO - Epoch(train) [15][540/1879] lr: 2.0000e-02 eta: 16:17:16 time: 0.8511 data_time: 0.0188 memory: 19726 grad_norm: 3.7531 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6077 loss: 1.6077 2022/08/08 22:40:06 - mmengine - INFO - Epoch(train) [15][560/1879] lr: 2.0000e-02 eta: 16:16:57 time: 0.8492 data_time: 0.0188 memory: 19726 grad_norm: 3.7949 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5337 loss: 1.5337 2022/08/08 22:40:23 - mmengine - INFO - Epoch(train) [15][580/1879] lr: 2.0000e-02 eta: 16:16:39 time: 0.8569 data_time: 0.0196 memory: 19726 grad_norm: 3.8401 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4310 loss: 1.4310 2022/08/08 22:40:40 - mmengine - INFO - Epoch(train) [15][600/1879] lr: 2.0000e-02 eta: 16:16:20 time: 0.8495 data_time: 0.0180 memory: 19726 grad_norm: 3.7600 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7381 loss: 1.7381 2022/08/08 22:40:58 - mmengine - INFO - Epoch(train) [15][620/1879] lr: 2.0000e-02 eta: 16:16:02 time: 0.8576 data_time: 0.0187 memory: 19726 grad_norm: 3.8538 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6770 loss: 1.6770 2022/08/08 22:41:14 - mmengine - INFO - Epoch(train) [15][640/1879] lr: 2.0000e-02 eta: 16:15:43 time: 0.8485 data_time: 0.0187 memory: 19726 grad_norm: 3.6616 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6951 loss: 1.6951 2022/08/08 22:41:31 - mmengine - INFO - Epoch(train) [15][660/1879] lr: 2.0000e-02 eta: 16:15:25 time: 0.8492 data_time: 0.0179 memory: 19726 grad_norm: 3.8306 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5174 loss: 1.5174 2022/08/08 22:41:49 - mmengine - INFO - Epoch(train) [15][680/1879] lr: 2.0000e-02 eta: 16:15:06 time: 0.8542 data_time: 0.0191 memory: 19726 grad_norm: 3.7935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5569 loss: 1.5569 2022/08/08 22:42:00 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 22:42:06 - mmengine - INFO - Epoch(train) [15][700/1879] lr: 2.0000e-02 eta: 16:14:48 time: 0.8491 data_time: 0.0184 memory: 19726 grad_norm: 3.8772 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6301 loss: 1.6301 2022/08/08 22:42:23 - mmengine - INFO - Epoch(train) [15][720/1879] lr: 2.0000e-02 eta: 16:14:29 time: 0.8539 data_time: 0.0192 memory: 19726 grad_norm: 3.6759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7436 loss: 1.7436 2022/08/08 22:42:40 - mmengine - INFO - Epoch(train) [15][740/1879] lr: 2.0000e-02 eta: 16:14:10 time: 0.8490 data_time: 0.0187 memory: 19726 grad_norm: 3.8405 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3866 loss: 1.3866 2022/08/08 22:42:57 - mmengine - INFO - Epoch(train) [15][760/1879] lr: 2.0000e-02 eta: 16:13:52 time: 0.8532 data_time: 0.0190 memory: 19726 grad_norm: 3.8467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3229 loss: 1.3229 2022/08/08 22:43:14 - mmengine - INFO - Epoch(train) [15][780/1879] lr: 2.0000e-02 eta: 16:13:33 time: 0.8473 data_time: 0.0175 memory: 19726 grad_norm: 3.7292 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/08/08 22:43:31 - mmengine - INFO - Epoch(train) [15][800/1879] lr: 2.0000e-02 eta: 16:13:15 time: 0.8538 data_time: 0.0186 memory: 19726 grad_norm: 3.7375 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7257 loss: 1.7257 2022/08/08 22:43:48 - mmengine - INFO - Epoch(train) [15][820/1879] lr: 2.0000e-02 eta: 16:12:56 time: 0.8522 data_time: 0.0174 memory: 19726 grad_norm: 3.8441 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7541 loss: 1.7541 2022/08/08 22:44:05 - mmengine - INFO - Epoch(train) [15][840/1879] lr: 2.0000e-02 eta: 16:12:38 time: 0.8493 data_time: 0.0182 memory: 19726 grad_norm: 3.7284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6393 loss: 1.6393 2022/08/08 22:44:22 - mmengine - INFO - Epoch(train) [15][860/1879] lr: 2.0000e-02 eta: 16:12:19 time: 0.8483 data_time: 0.0179 memory: 19726 grad_norm: 3.8707 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5867 loss: 1.5867 2022/08/08 22:44:39 - mmengine - INFO - Epoch(train) [15][880/1879] lr: 2.0000e-02 eta: 16:12:01 time: 0.8594 data_time: 0.0182 memory: 19726 grad_norm: 3.8035 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5147 loss: 1.5147 2022/08/08 22:44:56 - mmengine - INFO - Epoch(train) [15][900/1879] lr: 2.0000e-02 eta: 16:11:42 time: 0.8487 data_time: 0.0187 memory: 19726 grad_norm: 3.7503 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5755 loss: 1.5755 2022/08/08 22:45:13 - mmengine - INFO - Epoch(train) [15][920/1879] lr: 2.0000e-02 eta: 16:11:23 time: 0.8505 data_time: 0.0188 memory: 19726 grad_norm: 3.7974 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5457 loss: 1.5457 2022/08/08 22:45:30 - mmengine - INFO - Epoch(train) [15][940/1879] lr: 2.0000e-02 eta: 16:11:05 time: 0.8501 data_time: 0.0186 memory: 19726 grad_norm: 3.8349 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5506 loss: 1.5506 2022/08/08 22:45:47 - mmengine - INFO - Epoch(train) [15][960/1879] lr: 2.0000e-02 eta: 16:10:47 time: 0.8610 data_time: 0.0252 memory: 19726 grad_norm: 3.7916 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7360 loss: 1.7360 2022/08/08 22:46:04 - mmengine - INFO - Epoch(train) [15][980/1879] lr: 2.0000e-02 eta: 16:10:28 time: 0.8496 data_time: 0.0185 memory: 19726 grad_norm: 3.8615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4744 loss: 1.4744 2022/08/08 22:46:21 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 2.0000e-02 eta: 16:10:09 time: 0.8487 data_time: 0.0181 memory: 19726 grad_norm: 3.7470 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4614 loss: 1.4614 2022/08/08 22:46:38 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 2.0000e-02 eta: 16:09:51 time: 0.8541 data_time: 0.0173 memory: 19726 grad_norm: 3.8778 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5278 loss: 1.5278 2022/08/08 22:46:55 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 2.0000e-02 eta: 16:09:32 time: 0.8491 data_time: 0.0184 memory: 19726 grad_norm: 3.8440 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7149 loss: 1.7149 2022/08/08 22:47:12 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 2.0000e-02 eta: 16:09:14 time: 0.8511 data_time: 0.0173 memory: 19726 grad_norm: 3.8010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4025 loss: 1.4025 2022/08/08 22:47:29 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 2.0000e-02 eta: 16:08:55 time: 0.8548 data_time: 0.0181 memory: 19726 grad_norm: 3.7967 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6868 loss: 1.6868 2022/08/08 22:47:46 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 2.0000e-02 eta: 16:08:37 time: 0.8515 data_time: 0.0183 memory: 19726 grad_norm: 3.8375 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4305 loss: 1.4305 2022/08/08 22:48:03 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 2.0000e-02 eta: 16:08:18 time: 0.8441 data_time: 0.0176 memory: 19726 grad_norm: 3.7263 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6165 loss: 1.6165 2022/08/08 22:48:20 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 2.0000e-02 eta: 16:08:00 time: 0.8537 data_time: 0.0185 memory: 19726 grad_norm: 3.7611 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4929 loss: 1.4929 2022/08/08 22:48:37 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 2.0000e-02 eta: 16:07:41 time: 0.8578 data_time: 0.0203 memory: 19726 grad_norm: 3.7386 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6548 loss: 1.6548 2022/08/08 22:48:54 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 2.0000e-02 eta: 16:07:23 time: 0.8491 data_time: 0.0190 memory: 19726 grad_norm: 3.7916 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3598 loss: 1.3598 2022/08/08 22:49:12 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 2.0000e-02 eta: 16:07:04 time: 0.8536 data_time: 0.0181 memory: 19726 grad_norm: 3.8027 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5434 loss: 1.5434 2022/08/08 22:49:29 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 2.0000e-02 eta: 16:06:46 time: 0.8528 data_time: 0.0186 memory: 19726 grad_norm: 3.8915 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8862 loss: 1.8862 2022/08/08 22:49:45 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 2.0000e-02 eta: 16:06:27 time: 0.8448 data_time: 0.0173 memory: 19726 grad_norm: 3.7680 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4872 loss: 1.4872 2022/08/08 22:50:02 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 2.0000e-02 eta: 16:06:08 time: 0.8461 data_time: 0.0175 memory: 19726 grad_norm: 3.8399 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5601 loss: 1.5601 2022/08/08 22:50:20 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 2.0000e-02 eta: 16:05:50 time: 0.8584 data_time: 0.0199 memory: 19726 grad_norm: 3.6506 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5713 loss: 1.5713 2022/08/08 22:50:37 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 2.0000e-02 eta: 16:05:32 time: 0.8524 data_time: 0.0183 memory: 19726 grad_norm: 3.8664 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5393 loss: 1.5393 2022/08/08 22:50:54 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 2.0000e-02 eta: 16:05:13 time: 0.8557 data_time: 0.0253 memory: 19726 grad_norm: 3.8580 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7041 loss: 1.7041 2022/08/08 22:51:11 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 2.0000e-02 eta: 16:04:54 time: 0.8464 data_time: 0.0192 memory: 19726 grad_norm: 3.8909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5097 loss: 1.5097 2022/08/08 22:51:28 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 2.0000e-02 eta: 16:04:36 time: 0.8612 data_time: 0.0191 memory: 19726 grad_norm: 3.8196 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6317 loss: 1.6317 2022/08/08 22:51:45 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 2.0000e-02 eta: 16:04:18 time: 0.8480 data_time: 0.0179 memory: 19726 grad_norm: 3.8241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6000 loss: 1.6000 2022/08/08 22:52:02 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 2.0000e-02 eta: 16:03:59 time: 0.8481 data_time: 0.0186 memory: 19726 grad_norm: 3.8738 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6187 loss: 1.6187 2022/08/08 22:52:19 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 2.0000e-02 eta: 16:03:40 time: 0.8479 data_time: 0.0182 memory: 19726 grad_norm: 3.7626 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6221 loss: 1.6221 2022/08/08 22:52:36 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 2.0000e-02 eta: 16:03:22 time: 0.8483 data_time: 0.0187 memory: 19726 grad_norm: 3.7266 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6168 loss: 1.6168 2022/08/08 22:52:53 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 2.0000e-02 eta: 16:03:03 time: 0.8515 data_time: 0.0194 memory: 19726 grad_norm: 3.6804 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3736 loss: 1.3736 2022/08/08 22:53:10 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 2.0000e-02 eta: 16:02:45 time: 0.8532 data_time: 0.0197 memory: 19726 grad_norm: 3.8869 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6600 loss: 1.6600 2022/08/08 22:53:27 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 2.0000e-02 eta: 16:02:26 time: 0.8528 data_time: 0.0189 memory: 19726 grad_norm: 3.9264 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5836 loss: 1.5836 2022/08/08 22:53:44 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 2.0000e-02 eta: 16:02:08 time: 0.8450 data_time: 0.0185 memory: 19726 grad_norm: 3.8868 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5930 loss: 1.5930 2022/08/08 22:54:01 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 2.0000e-02 eta: 16:01:49 time: 0.8473 data_time: 0.0184 memory: 19726 grad_norm: 3.8610 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6418 loss: 1.6418 2022/08/08 22:54:18 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 2.0000e-02 eta: 16:01:30 time: 0.8474 data_time: 0.0194 memory: 19726 grad_norm: 3.6914 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4705 loss: 1.4705 2022/08/08 22:54:35 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 2.0000e-02 eta: 16:01:12 time: 0.8503 data_time: 0.0182 memory: 19726 grad_norm: 3.8195 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5810 loss: 1.5810 2022/08/08 22:54:52 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 2.0000e-02 eta: 16:00:53 time: 0.8475 data_time: 0.0185 memory: 19726 grad_norm: 3.8800 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6146 loss: 1.6146 2022/08/08 22:55:09 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 2.0000e-02 eta: 16:00:35 time: 0.8682 data_time: 0.0209 memory: 19726 grad_norm: 3.8316 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7191 loss: 1.7191 2022/08/08 22:55:26 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 2.0000e-02 eta: 16:00:18 time: 0.8662 data_time: 0.0188 memory: 19726 grad_norm: 3.9691 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5968 loss: 1.5968 2022/08/08 22:55:43 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 2.0000e-02 eta: 15:59:59 time: 0.8466 data_time: 0.0185 memory: 19726 grad_norm: 3.8424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5580 loss: 1.5580 2022/08/08 22:56:00 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 2.0000e-02 eta: 15:59:40 time: 0.8477 data_time: 0.0178 memory: 19726 grad_norm: 3.8422 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5068 loss: 1.5068 2022/08/08 22:56:12 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 22:56:17 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 2.0000e-02 eta: 15:59:22 time: 0.8528 data_time: 0.0192 memory: 19726 grad_norm: 3.8847 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5647 loss: 1.5647 2022/08/08 22:56:34 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 2.0000e-02 eta: 15:59:03 time: 0.8477 data_time: 0.0190 memory: 19726 grad_norm: 3.8293 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5847 loss: 1.5847 2022/08/08 22:56:51 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 2.0000e-02 eta: 15:58:45 time: 0.8462 data_time: 0.0183 memory: 19726 grad_norm: 3.7029 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6221 loss: 1.6221 2022/08/08 22:57:08 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 2.0000e-02 eta: 15:58:26 time: 0.8555 data_time: 0.0184 memory: 19726 grad_norm: 3.7178 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6620 loss: 1.6620 2022/08/08 22:57:25 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 2.0000e-02 eta: 15:58:08 time: 0.8496 data_time: 0.0184 memory: 19726 grad_norm: 3.7946 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7547 loss: 1.7547 2022/08/08 22:57:43 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 2.0000e-02 eta: 15:57:50 time: 0.8598 data_time: 0.0274 memory: 19726 grad_norm: 3.8693 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5547 loss: 1.5547 2022/08/08 22:58:00 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 2.0000e-02 eta: 15:57:32 time: 0.8715 data_time: 0.0197 memory: 19726 grad_norm: 3.7970 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5159 loss: 1.5159 2022/08/08 22:58:17 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 2.0000e-02 eta: 15:57:14 time: 0.8503 data_time: 0.0189 memory: 19726 grad_norm: 3.7766 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6088 loss: 1.6088 2022/08/08 22:58:34 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 2.0000e-02 eta: 15:56:55 time: 0.8471 data_time: 0.0191 memory: 19726 grad_norm: 3.8825 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4467 loss: 1.4467 2022/08/08 22:58:50 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 22:58:50 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 2.0000e-02 eta: 15:56:55 time: 0.8349 data_time: 0.0184 memory: 19726 grad_norm: 3.8625 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.5682 loss: 1.5682 2022/08/08 22:58:50 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/08 22:59:07 - mmengine - INFO - Epoch(val) [15][20/155] eta: 0:01:42 time: 0.7606 data_time: 0.5193 memory: 2699 2022/08/08 22:59:17 - mmengine - INFO - Epoch(val) [15][40/155] eta: 0:00:53 time: 0.4668 data_time: 0.2277 memory: 2699 2022/08/08 22:59:29 - mmengine - INFO - Epoch(val) [15][60/155] eta: 0:00:57 time: 0.6092 data_time: 0.3700 memory: 2699 2022/08/08 22:59:39 - mmengine - INFO - Epoch(val) [15][80/155] eta: 0:00:39 time: 0.5223 data_time: 0.2813 memory: 2699 2022/08/08 22:59:51 - mmengine - INFO - Epoch(val) [15][100/155] eta: 0:00:33 time: 0.6099 data_time: 0.3708 memory: 2699 2022/08/08 23:00:03 - mmengine - INFO - Epoch(val) [15][120/155] eta: 0:00:21 time: 0.6023 data_time: 0.3641 memory: 2699 2022/08/08 23:00:16 - mmengine - INFO - Epoch(val) [15][140/155] eta: 0:00:09 time: 0.6395 data_time: 0.4011 memory: 2699 2022/08/08 23:00:24 - mmengine - INFO - Epoch(val) [15][155/155] acc/top1: 0.6164 acc/top5: 0.8447 acc/mean1: 0.6163 2022/08/08 23:00:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_14.pth is removed 2022/08/08 23:00:25 - mmengine - INFO - The best checkpoint with 0.6164 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/08 23:00:47 - mmengine - INFO - Epoch(train) [16][20/1879] lr: 2.0000e-02 eta: 15:55:52 time: 1.0898 data_time: 0.2564 memory: 19726 grad_norm: 3.8306 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5564 loss: 1.5564 2022/08/08 23:01:04 - mmengine - INFO - Epoch(train) [16][40/1879] lr: 2.0000e-02 eta: 15:55:34 time: 0.8447 data_time: 0.0191 memory: 19726 grad_norm: 3.7588 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3418 loss: 1.3418 2022/08/08 23:01:21 - mmengine - INFO - Epoch(train) [16][60/1879] lr: 2.0000e-02 eta: 15:55:15 time: 0.8505 data_time: 0.0178 memory: 19726 grad_norm: 3.7609 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5809 loss: 1.5809 2022/08/08 23:01:38 - mmengine - INFO - Epoch(train) [16][80/1879] lr: 2.0000e-02 eta: 15:54:57 time: 0.8527 data_time: 0.0188 memory: 19726 grad_norm: 3.8423 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4632 loss: 1.4632 2022/08/08 23:01:55 - mmengine - INFO - Epoch(train) [16][100/1879] lr: 2.0000e-02 eta: 15:54:38 time: 0.8494 data_time: 0.0176 memory: 19726 grad_norm: 3.7064 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5006 loss: 1.5006 2022/08/08 23:02:12 - mmengine - INFO - Epoch(train) [16][120/1879] lr: 2.0000e-02 eta: 15:54:20 time: 0.8518 data_time: 0.0184 memory: 19726 grad_norm: 3.7952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4425 loss: 1.4425 2022/08/08 23:02:29 - mmengine - INFO - Epoch(train) [16][140/1879] lr: 2.0000e-02 eta: 15:54:01 time: 0.8498 data_time: 0.0181 memory: 19726 grad_norm: 3.7999 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5188 loss: 1.5188 2022/08/08 23:02:46 - mmengine - INFO - Epoch(train) [16][160/1879] lr: 2.0000e-02 eta: 15:53:43 time: 0.8532 data_time: 0.0189 memory: 19726 grad_norm: 3.9190 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5085 loss: 1.5085 2022/08/08 23:03:03 - mmengine - INFO - Epoch(train) [16][180/1879] lr: 2.0000e-02 eta: 15:53:25 time: 0.8510 data_time: 0.0192 memory: 19726 grad_norm: 3.8580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4161 loss: 1.4161 2022/08/08 23:03:20 - mmengine - INFO - Epoch(train) [16][200/1879] lr: 2.0000e-02 eta: 15:53:06 time: 0.8491 data_time: 0.0189 memory: 19726 grad_norm: 3.7083 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4878 loss: 1.4878 2022/08/08 23:03:37 - mmengine - INFO - Epoch(train) [16][220/1879] lr: 2.0000e-02 eta: 15:52:48 time: 0.8523 data_time: 0.0189 memory: 19726 grad_norm: 3.8109 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3782 loss: 1.3782 2022/08/08 23:03:54 - mmengine - INFO - Epoch(train) [16][240/1879] lr: 2.0000e-02 eta: 15:52:29 time: 0.8493 data_time: 0.0180 memory: 19726 grad_norm: 3.8306 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5001 loss: 1.5001 2022/08/08 23:04:11 - mmengine - INFO - Epoch(train) [16][260/1879] lr: 2.0000e-02 eta: 15:52:11 time: 0.8491 data_time: 0.0175 memory: 19726 grad_norm: 3.9496 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5973 loss: 1.5973 2022/08/08 23:04:28 - mmengine - INFO - Epoch(train) [16][280/1879] lr: 2.0000e-02 eta: 15:51:52 time: 0.8509 data_time: 0.0188 memory: 19726 grad_norm: 3.7108 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5375 loss: 1.5375 2022/08/08 23:04:45 - mmengine - INFO - Epoch(train) [16][300/1879] lr: 2.0000e-02 eta: 15:51:34 time: 0.8458 data_time: 0.0176 memory: 19726 grad_norm: 3.8703 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5930 loss: 1.5930 2022/08/08 23:05:02 - mmengine - INFO - Epoch(train) [16][320/1879] lr: 2.0000e-02 eta: 15:51:15 time: 0.8530 data_time: 0.0179 memory: 19726 grad_norm: 3.7901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6184 loss: 1.6184 2022/08/08 23:05:19 - mmengine - INFO - Epoch(train) [16][340/1879] lr: 2.0000e-02 eta: 15:50:57 time: 0.8491 data_time: 0.0189 memory: 19726 grad_norm: 3.7429 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5190 loss: 1.5190 2022/08/08 23:05:36 - mmengine - INFO - Epoch(train) [16][360/1879] lr: 2.0000e-02 eta: 15:50:38 time: 0.8456 data_time: 0.0184 memory: 19726 grad_norm: 3.8718 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6203 loss: 1.6203 2022/08/08 23:05:53 - mmengine - INFO - Epoch(train) [16][380/1879] lr: 2.0000e-02 eta: 15:50:20 time: 0.8507 data_time: 0.0181 memory: 19726 grad_norm: 3.8046 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6745 loss: 1.6745 2022/08/08 23:06:10 - mmengine - INFO - Epoch(train) [16][400/1879] lr: 2.0000e-02 eta: 15:50:01 time: 0.8488 data_time: 0.0188 memory: 19726 grad_norm: 4.0275 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5513 loss: 1.5513 2022/08/08 23:06:27 - mmengine - INFO - Epoch(train) [16][420/1879] lr: 2.0000e-02 eta: 15:49:43 time: 0.8499 data_time: 0.0177 memory: 19726 grad_norm: 3.8655 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3692 loss: 1.3692 2022/08/08 23:06:44 - mmengine - INFO - Epoch(train) [16][440/1879] lr: 2.0000e-02 eta: 15:49:24 time: 0.8497 data_time: 0.0182 memory: 19726 grad_norm: 3.8713 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6340 loss: 1.6340 2022/08/08 23:07:01 - mmengine - INFO - Epoch(train) [16][460/1879] lr: 2.0000e-02 eta: 15:49:06 time: 0.8456 data_time: 0.0182 memory: 19726 grad_norm: 3.7767 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4696 loss: 1.4696 2022/08/08 23:07:18 - mmengine - INFO - Epoch(train) [16][480/1879] lr: 2.0000e-02 eta: 15:48:47 time: 0.8467 data_time: 0.0188 memory: 19726 grad_norm: 3.7068 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5580 loss: 1.5580 2022/08/08 23:07:35 - mmengine - INFO - Epoch(train) [16][500/1879] lr: 2.0000e-02 eta: 15:48:29 time: 0.8451 data_time: 0.0191 memory: 19726 grad_norm: 3.8127 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5226 loss: 1.5226 2022/08/08 23:07:52 - mmengine - INFO - Epoch(train) [16][520/1879] lr: 2.0000e-02 eta: 15:48:11 time: 0.8655 data_time: 0.0182 memory: 19726 grad_norm: 3.8002 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5889 loss: 1.5889 2022/08/08 23:08:09 - mmengine - INFO - Epoch(train) [16][540/1879] lr: 2.0000e-02 eta: 15:47:52 time: 0.8518 data_time: 0.0192 memory: 19726 grad_norm: 3.8775 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5895 loss: 1.5895 2022/08/08 23:08:26 - mmengine - INFO - Epoch(train) [16][560/1879] lr: 2.0000e-02 eta: 15:47:34 time: 0.8459 data_time: 0.0176 memory: 19726 grad_norm: 3.7675 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4971 loss: 1.4971 2022/08/08 23:08:43 - mmengine - INFO - Epoch(train) [16][580/1879] lr: 2.0000e-02 eta: 15:47:15 time: 0.8455 data_time: 0.0182 memory: 19726 grad_norm: 3.8206 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.4452 loss: 1.4452 2022/08/08 23:09:00 - mmengine - INFO - Epoch(train) [16][600/1879] lr: 2.0000e-02 eta: 15:46:57 time: 0.8569 data_time: 0.0196 memory: 19726 grad_norm: 3.8322 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5988 loss: 1.5988 2022/08/08 23:09:17 - mmengine - INFO - Epoch(train) [16][620/1879] lr: 2.0000e-02 eta: 15:46:39 time: 0.8476 data_time: 0.0201 memory: 19726 grad_norm: 3.7348 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4015 loss: 1.4015 2022/08/08 23:09:34 - mmengine - INFO - Epoch(train) [16][640/1879] lr: 2.0000e-02 eta: 15:46:20 time: 0.8492 data_time: 0.0194 memory: 19726 grad_norm: 3.7570 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6147 loss: 1.6147 2022/08/08 23:09:51 - mmengine - INFO - Epoch(train) [16][660/1879] lr: 2.0000e-02 eta: 15:46:02 time: 0.8552 data_time: 0.0187 memory: 19726 grad_norm: 3.8316 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6334 loss: 1.6334 2022/08/08 23:10:08 - mmengine - INFO - Epoch(train) [16][680/1879] lr: 2.0000e-02 eta: 15:45:44 time: 0.8525 data_time: 0.0194 memory: 19726 grad_norm: 3.8599 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6595 loss: 1.6595 2022/08/08 23:10:26 - mmengine - INFO - Epoch(train) [16][700/1879] lr: 2.0000e-02 eta: 15:45:25 time: 0.8572 data_time: 0.0226 memory: 19726 grad_norm: 3.8108 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4602 loss: 1.4602 2022/08/08 23:10:43 - mmengine - INFO - Epoch(train) [16][720/1879] lr: 2.0000e-02 eta: 15:45:07 time: 0.8492 data_time: 0.0183 memory: 19726 grad_norm: 3.6861 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5380 loss: 1.5380 2022/08/08 23:11:00 - mmengine - INFO - Epoch(train) [16][740/1879] lr: 2.0000e-02 eta: 15:44:49 time: 0.8561 data_time: 0.0200 memory: 19726 grad_norm: 3.7446 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4184 loss: 1.4184 2022/08/08 23:11:17 - mmengine - INFO - Epoch(train) [16][760/1879] lr: 2.0000e-02 eta: 15:44:30 time: 0.8491 data_time: 0.0189 memory: 19726 grad_norm: 3.7360 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6366 loss: 1.6366 2022/08/08 23:11:34 - mmengine - INFO - Epoch(train) [16][780/1879] lr: 2.0000e-02 eta: 15:44:12 time: 0.8566 data_time: 0.0186 memory: 19726 grad_norm: 3.8270 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7220 loss: 1.7220 2022/08/08 23:11:51 - mmengine - INFO - Epoch(train) [16][800/1879] lr: 2.0000e-02 eta: 15:43:54 time: 0.8504 data_time: 0.0184 memory: 19726 grad_norm: 3.7434 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5961 loss: 1.5961 2022/08/08 23:12:04 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 23:12:08 - mmengine - INFO - Epoch(train) [16][820/1879] lr: 2.0000e-02 eta: 15:43:36 time: 0.8582 data_time: 0.0180 memory: 19726 grad_norm: 3.8865 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6224 loss: 1.6224 2022/08/08 23:12:25 - mmengine - INFO - Epoch(train) [16][840/1879] lr: 2.0000e-02 eta: 15:43:17 time: 0.8478 data_time: 0.0175 memory: 19726 grad_norm: 3.9377 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5583 loss: 1.5583 2022/08/08 23:12:42 - mmengine - INFO - Epoch(train) [16][860/1879] lr: 2.0000e-02 eta: 15:42:59 time: 0.8492 data_time: 0.0185 memory: 19726 grad_norm: 3.8333 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9279 loss: 1.9279 2022/08/08 23:12:59 - mmengine - INFO - Epoch(train) [16][880/1879] lr: 2.0000e-02 eta: 15:42:41 time: 0.8518 data_time: 0.0194 memory: 19726 grad_norm: 3.7697 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5896 loss: 1.5896 2022/08/08 23:13:16 - mmengine - INFO - Epoch(train) [16][900/1879] lr: 2.0000e-02 eta: 15:42:23 time: 0.8637 data_time: 0.0318 memory: 19726 grad_norm: 3.7186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4261 loss: 1.4261 2022/08/08 23:13:33 - mmengine - INFO - Epoch(train) [16][920/1879] lr: 2.0000e-02 eta: 15:42:04 time: 0.8516 data_time: 0.0183 memory: 19726 grad_norm: 3.8231 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6235 loss: 1.6235 2022/08/08 23:13:50 - mmengine - INFO - Epoch(train) [16][940/1879] lr: 2.0000e-02 eta: 15:41:46 time: 0.8490 data_time: 0.0186 memory: 19726 grad_norm: 3.8499 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6188 loss: 1.6188 2022/08/08 23:14:07 - mmengine - INFO - Epoch(train) [16][960/1879] lr: 2.0000e-02 eta: 15:41:28 time: 0.8481 data_time: 0.0174 memory: 19726 grad_norm: 3.7093 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4507 loss: 1.4507 2022/08/08 23:14:24 - mmengine - INFO - Epoch(train) [16][980/1879] lr: 2.0000e-02 eta: 15:41:09 time: 0.8549 data_time: 0.0178 memory: 19726 grad_norm: 3.7910 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6230 loss: 1.6230 2022/08/08 23:14:41 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 2.0000e-02 eta: 15:40:51 time: 0.8518 data_time: 0.0180 memory: 19726 grad_norm: 3.8467 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5734 loss: 1.5734 2022/08/08 23:14:58 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 2.0000e-02 eta: 15:40:33 time: 0.8512 data_time: 0.0184 memory: 19726 grad_norm: 3.7514 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4870 loss: 1.4870 2022/08/08 23:15:15 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 2.0000e-02 eta: 15:40:14 time: 0.8497 data_time: 0.0183 memory: 19726 grad_norm: 3.8603 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6163 loss: 1.6163 2022/08/08 23:15:33 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 2.0000e-02 eta: 15:39:56 time: 0.8528 data_time: 0.0197 memory: 19726 grad_norm: 3.7563 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5232 loss: 1.5232 2022/08/08 23:15:50 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 2.0000e-02 eta: 15:39:38 time: 0.8521 data_time: 0.0186 memory: 19726 grad_norm: 3.7628 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5430 loss: 1.5430 2022/08/08 23:16:07 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 2.0000e-02 eta: 15:39:20 time: 0.8539 data_time: 0.0188 memory: 19726 grad_norm: 3.8100 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4294 loss: 1.4294 2022/08/08 23:16:24 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 2.0000e-02 eta: 15:39:01 time: 0.8544 data_time: 0.0182 memory: 19726 grad_norm: 3.8801 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5692 loss: 1.5692 2022/08/08 23:16:41 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 2.0000e-02 eta: 15:38:43 time: 0.8482 data_time: 0.0183 memory: 19726 grad_norm: 3.8418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5488 loss: 1.5488 2022/08/08 23:16:58 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 2.0000e-02 eta: 15:38:24 time: 0.8476 data_time: 0.0175 memory: 19726 grad_norm: 3.7541 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6351 loss: 1.6351 2022/08/08 23:17:15 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 2.0000e-02 eta: 15:38:06 time: 0.8457 data_time: 0.0172 memory: 19726 grad_norm: 3.7908 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7872 loss: 1.7872 2022/08/08 23:17:32 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 2.0000e-02 eta: 15:37:47 time: 0.8481 data_time: 0.0191 memory: 19726 grad_norm: 3.8965 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5804 loss: 1.5804 2022/08/08 23:17:49 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 2.0000e-02 eta: 15:37:30 time: 0.8646 data_time: 0.0315 memory: 19726 grad_norm: 3.8932 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6816 loss: 1.6816 2022/08/08 23:18:06 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 2.0000e-02 eta: 15:37:11 time: 0.8490 data_time: 0.0185 memory: 19726 grad_norm: 3.7314 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6106 loss: 1.6106 2022/08/08 23:18:23 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 2.0000e-02 eta: 15:36:53 time: 0.8552 data_time: 0.0186 memory: 19726 grad_norm: 3.7716 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5491 loss: 1.5491 2022/08/08 23:18:40 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 2.0000e-02 eta: 15:36:35 time: 0.8491 data_time: 0.0182 memory: 19726 grad_norm: 3.8002 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4377 loss: 1.4377 2022/08/08 23:18:57 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 2.0000e-02 eta: 15:36:16 time: 0.8463 data_time: 0.0179 memory: 19726 grad_norm: 3.7960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5033 loss: 1.5033 2022/08/08 23:19:14 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 2.0000e-02 eta: 15:35:58 time: 0.8541 data_time: 0.0179 memory: 19726 grad_norm: 3.8768 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4963 loss: 1.4963 2022/08/08 23:19:31 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 2.0000e-02 eta: 15:35:40 time: 0.8489 data_time: 0.0185 memory: 19726 grad_norm: 3.8398 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6119 loss: 1.6119 2022/08/08 23:19:48 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 2.0000e-02 eta: 15:35:21 time: 0.8525 data_time: 0.0184 memory: 19726 grad_norm: 3.8286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5964 loss: 1.5964 2022/08/08 23:20:05 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 2.0000e-02 eta: 15:35:03 time: 0.8479 data_time: 0.0187 memory: 19726 grad_norm: 3.7328 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6453 loss: 1.6453 2022/08/08 23:20:22 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 2.0000e-02 eta: 15:34:45 time: 0.8652 data_time: 0.0212 memory: 19726 grad_norm: 3.8537 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6582 loss: 1.6582 2022/08/08 23:20:39 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 2.0000e-02 eta: 15:34:27 time: 0.8481 data_time: 0.0197 memory: 19726 grad_norm: 3.8473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5362 loss: 1.5362 2022/08/08 23:20:56 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 2.0000e-02 eta: 15:34:08 time: 0.8477 data_time: 0.0207 memory: 19726 grad_norm: 3.8348 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6057 loss: 1.6057 2022/08/08 23:21:13 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 2.0000e-02 eta: 15:33:50 time: 0.8486 data_time: 0.0185 memory: 19726 grad_norm: 3.7161 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5311 loss: 1.5311 2022/08/08 23:21:30 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 2.0000e-02 eta: 15:33:31 time: 0.8493 data_time: 0.0204 memory: 19726 grad_norm: 3.8084 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5757 loss: 1.5757 2022/08/08 23:21:47 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 2.0000e-02 eta: 15:33:13 time: 0.8480 data_time: 0.0176 memory: 19726 grad_norm: 3.7330 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5946 loss: 1.5946 2022/08/08 23:22:04 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 2.0000e-02 eta: 15:32:55 time: 0.8502 data_time: 0.0181 memory: 19726 grad_norm: 3.7964 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4704 loss: 1.4704 2022/08/08 23:22:21 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 2.0000e-02 eta: 15:32:36 time: 0.8517 data_time: 0.0192 memory: 19726 grad_norm: 3.8229 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4668 loss: 1.4668 2022/08/08 23:22:38 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 2.0000e-02 eta: 15:32:18 time: 0.8575 data_time: 0.0191 memory: 19726 grad_norm: 3.8462 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5438 loss: 1.5438 2022/08/08 23:22:55 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 2.0000e-02 eta: 15:32:00 time: 0.8491 data_time: 0.0190 memory: 19726 grad_norm: 3.8787 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7587 loss: 1.7587 2022/08/08 23:23:12 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 2.0000e-02 eta: 15:31:42 time: 0.8511 data_time: 0.0185 memory: 19726 grad_norm: 3.7259 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5655 loss: 1.5655 2022/08/08 23:23:29 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 2.0000e-02 eta: 15:31:23 time: 0.8515 data_time: 0.0190 memory: 19726 grad_norm: 3.7198 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6592 loss: 1.6592 2022/08/08 23:23:46 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 2.0000e-02 eta: 15:31:05 time: 0.8450 data_time: 0.0174 memory: 19726 grad_norm: 3.9023 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6008 loss: 1.6008 2022/08/08 23:24:03 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 2.0000e-02 eta: 15:30:47 time: 0.8526 data_time: 0.0189 memory: 19726 grad_norm: 3.7527 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4554 loss: 1.4554 2022/08/08 23:24:20 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 2.0000e-02 eta: 15:30:28 time: 0.8515 data_time: 0.0184 memory: 19726 grad_norm: 3.7543 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5748 loss: 1.5748 2022/08/08 23:24:37 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 2.0000e-02 eta: 15:30:10 time: 0.8533 data_time: 0.0194 memory: 19726 grad_norm: 4.0308 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6305 loss: 1.6305 2022/08/08 23:24:55 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 2.0000e-02 eta: 15:29:52 time: 0.8568 data_time: 0.0197 memory: 19726 grad_norm: 3.9075 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7290 loss: 1.7290 2022/08/08 23:25:12 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 2.0000e-02 eta: 15:29:34 time: 0.8588 data_time: 0.0215 memory: 19726 grad_norm: 3.8585 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5601 loss: 1.5601 2022/08/08 23:25:29 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 2.0000e-02 eta: 15:29:16 time: 0.8470 data_time: 0.0183 memory: 19726 grad_norm: 3.9418 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6911 loss: 1.6911 2022/08/08 23:25:46 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 2.0000e-02 eta: 15:28:57 time: 0.8454 data_time: 0.0179 memory: 19726 grad_norm: 3.8783 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7946 loss: 1.7946 2022/08/08 23:26:03 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 2.0000e-02 eta: 15:28:39 time: 0.8509 data_time: 0.0181 memory: 19726 grad_norm: 3.7887 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4746 loss: 1.4746 2022/08/08 23:26:15 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 23:26:20 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 2.0000e-02 eta: 15:28:21 time: 0.8571 data_time: 0.0260 memory: 19726 grad_norm: 3.7164 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2891 loss: 1.2891 2022/08/08 23:26:37 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 2.0000e-02 eta: 15:28:03 time: 0.8476 data_time: 0.0177 memory: 19726 grad_norm: 3.7702 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6319 loss: 1.6319 2022/08/08 23:26:54 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 2.0000e-02 eta: 15:27:44 time: 0.8519 data_time: 0.0186 memory: 19726 grad_norm: 3.8480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4829 loss: 1.4829 2022/08/08 23:27:09 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 23:27:09 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 2.0000e-02 eta: 15:27:44 time: 0.8259 data_time: 0.0192 memory: 19726 grad_norm: 3.7789 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3720 loss: 1.3720 2022/08/08 23:27:23 - mmengine - INFO - Epoch(val) [16][20/155] eta: 0:01:33 time: 0.6899 data_time: 0.4493 memory: 2699 2022/08/08 23:27:35 - mmengine - INFO - Epoch(val) [16][40/155] eta: 0:01:08 time: 0.5960 data_time: 0.3561 memory: 2699 2022/08/08 23:27:46 - mmengine - INFO - Epoch(val) [16][60/155] eta: 0:00:50 time: 0.5310 data_time: 0.2921 memory: 2699 2022/08/08 23:27:59 - mmengine - INFO - Epoch(val) [16][80/155] eta: 0:00:47 time: 0.6395 data_time: 0.3990 memory: 2699 2022/08/08 23:28:11 - mmengine - INFO - Epoch(val) [16][100/155] eta: 0:00:35 time: 0.6442 data_time: 0.4049 memory: 2699 2022/08/08 23:28:23 - mmengine - INFO - Epoch(val) [16][120/155] eta: 0:00:19 time: 0.5605 data_time: 0.3221 memory: 2699 2022/08/08 23:28:31 - mmengine - INFO - Epoch(val) [16][140/155] eta: 0:00:06 time: 0.4258 data_time: 0.1881 memory: 2699 2022/08/08 23:28:41 - mmengine - INFO - Epoch(val) [16][155/155] acc/top1: 0.6132 acc/top5: 0.8425 acc/mean1: 0.6130 2022/08/08 23:29:03 - mmengine - INFO - Epoch(train) [17][20/1879] lr: 2.0000e-02 eta: 15:26:46 time: 1.1162 data_time: 0.1958 memory: 19726 grad_norm: 3.8099 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6348 loss: 1.6348 2022/08/08 23:29:20 - mmengine - INFO - Epoch(train) [17][40/1879] lr: 2.0000e-02 eta: 15:26:27 time: 0.8490 data_time: 0.0184 memory: 19726 grad_norm: 3.7587 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6235 loss: 1.6235 2022/08/08 23:29:37 - mmengine - INFO - Epoch(train) [17][60/1879] lr: 2.0000e-02 eta: 15:26:09 time: 0.8462 data_time: 0.0188 memory: 19726 grad_norm: 3.8085 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4924 loss: 1.4924 2022/08/08 23:29:54 - mmengine - INFO - Epoch(train) [17][80/1879] lr: 2.0000e-02 eta: 15:25:50 time: 0.8482 data_time: 0.0183 memory: 19726 grad_norm: 3.6965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4542 loss: 1.4542 2022/08/08 23:30:11 - mmengine - INFO - Epoch(train) [17][100/1879] lr: 2.0000e-02 eta: 15:25:32 time: 0.8564 data_time: 0.0224 memory: 19726 grad_norm: 3.7940 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6460 loss: 1.6460 2022/08/08 23:30:29 - mmengine - INFO - Epoch(train) [17][120/1879] lr: 2.0000e-02 eta: 15:25:14 time: 0.8551 data_time: 0.0198 memory: 19726 grad_norm: 3.8060 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6653 loss: 1.6653 2022/08/08 23:30:46 - mmengine - INFO - Epoch(train) [17][140/1879] lr: 2.0000e-02 eta: 15:24:56 time: 0.8584 data_time: 0.0255 memory: 19726 grad_norm: 3.8810 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5015 loss: 1.5015 2022/08/08 23:31:03 - mmengine - INFO - Epoch(train) [17][160/1879] lr: 2.0000e-02 eta: 15:24:38 time: 0.8515 data_time: 0.0213 memory: 19726 grad_norm: 3.7739 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5864 loss: 1.5864 2022/08/08 23:31:20 - mmengine - INFO - Epoch(train) [17][180/1879] lr: 2.0000e-02 eta: 15:24:20 time: 0.8539 data_time: 0.0183 memory: 19726 grad_norm: 3.8008 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5047 loss: 1.5047 2022/08/08 23:31:37 - mmengine - INFO - Epoch(train) [17][200/1879] lr: 2.0000e-02 eta: 15:24:02 time: 0.8511 data_time: 0.0182 memory: 19726 grad_norm: 3.7041 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5176 loss: 1.5176 2022/08/08 23:31:54 - mmengine - INFO - Epoch(train) [17][220/1879] lr: 2.0000e-02 eta: 15:23:44 time: 0.8549 data_time: 0.0179 memory: 19726 grad_norm: 3.8402 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5890 loss: 1.5890 2022/08/08 23:32:11 - mmengine - INFO - Epoch(train) [17][240/1879] lr: 2.0000e-02 eta: 15:23:26 time: 0.8569 data_time: 0.0252 memory: 19726 grad_norm: 3.8696 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5130 loss: 1.5130 2022/08/08 23:32:28 - mmengine - INFO - Epoch(train) [17][260/1879] lr: 2.0000e-02 eta: 15:23:08 time: 0.8517 data_time: 0.0191 memory: 19726 grad_norm: 3.9156 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5931 loss: 1.5931 2022/08/08 23:32:45 - mmengine - INFO - Epoch(train) [17][280/1879] lr: 2.0000e-02 eta: 15:22:49 time: 0.8516 data_time: 0.0185 memory: 19726 grad_norm: 3.8228 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3888 loss: 1.3888 2022/08/08 23:33:02 - mmengine - INFO - Epoch(train) [17][300/1879] lr: 2.0000e-02 eta: 15:22:31 time: 0.8511 data_time: 0.0187 memory: 19726 grad_norm: 3.7443 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4053 loss: 1.4053 2022/08/08 23:33:19 - mmengine - INFO - Epoch(train) [17][320/1879] lr: 2.0000e-02 eta: 15:22:13 time: 0.8566 data_time: 0.0190 memory: 19726 grad_norm: 3.7567 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5256 loss: 1.5256 2022/08/08 23:33:36 - mmengine - INFO - Epoch(train) [17][340/1879] lr: 2.0000e-02 eta: 15:21:55 time: 0.8487 data_time: 0.0196 memory: 19726 grad_norm: 3.7080 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6553 loss: 1.6553 2022/08/08 23:33:53 - mmengine - INFO - Epoch(train) [17][360/1879] lr: 2.0000e-02 eta: 15:21:37 time: 0.8538 data_time: 0.0188 memory: 19726 grad_norm: 3.7694 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7967 loss: 1.7967 2022/08/08 23:34:10 - mmengine - INFO - Epoch(train) [17][380/1879] lr: 2.0000e-02 eta: 15:21:19 time: 0.8497 data_time: 0.0194 memory: 19726 grad_norm: 3.8682 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2770 loss: 1.2770 2022/08/08 23:34:27 - mmengine - INFO - Epoch(train) [17][400/1879] lr: 2.0000e-02 eta: 15:21:00 time: 0.8473 data_time: 0.0190 memory: 19726 grad_norm: 3.7213 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4726 loss: 1.4726 2022/08/08 23:34:44 - mmengine - INFO - Epoch(train) [17][420/1879] lr: 2.0000e-02 eta: 15:20:42 time: 0.8501 data_time: 0.0192 memory: 19726 grad_norm: 3.7772 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5590 loss: 1.5590 2022/08/08 23:35:01 - mmengine - INFO - Epoch(train) [17][440/1879] lr: 2.0000e-02 eta: 15:20:24 time: 0.8516 data_time: 0.0206 memory: 19726 grad_norm: 3.8379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6166 loss: 1.6166 2022/08/08 23:35:18 - mmengine - INFO - Epoch(train) [17][460/1879] lr: 2.0000e-02 eta: 15:20:06 time: 0.8533 data_time: 0.0197 memory: 19726 grad_norm: 3.7133 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3995 loss: 1.3995 2022/08/08 23:35:35 - mmengine - INFO - Epoch(train) [17][480/1879] lr: 2.0000e-02 eta: 15:19:47 time: 0.8522 data_time: 0.0191 memory: 19726 grad_norm: 3.8520 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5285 loss: 1.5285 2022/08/08 23:35:52 - mmengine - INFO - Epoch(train) [17][500/1879] lr: 2.0000e-02 eta: 15:19:29 time: 0.8476 data_time: 0.0186 memory: 19726 grad_norm: 3.7727 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5845 loss: 1.5845 2022/08/08 23:36:10 - mmengine - INFO - Epoch(train) [17][520/1879] lr: 2.0000e-02 eta: 15:19:11 time: 0.8523 data_time: 0.0183 memory: 19726 grad_norm: 3.7278 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3550 loss: 1.3550 2022/08/08 23:36:26 - mmengine - INFO - Epoch(train) [17][540/1879] lr: 2.0000e-02 eta: 15:18:53 time: 0.8491 data_time: 0.0191 memory: 19726 grad_norm: 3.7769 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5353 loss: 1.5353 2022/08/08 23:36:44 - mmengine - INFO - Epoch(train) [17][560/1879] lr: 2.0000e-02 eta: 15:18:35 time: 0.8535 data_time: 0.0182 memory: 19726 grad_norm: 3.8437 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6037 loss: 1.6037 2022/08/08 23:37:01 - mmengine - INFO - Epoch(train) [17][580/1879] lr: 2.0000e-02 eta: 15:18:16 time: 0.8522 data_time: 0.0192 memory: 19726 grad_norm: 3.9070 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6870 loss: 1.6870 2022/08/08 23:37:18 - mmengine - INFO - Epoch(train) [17][600/1879] lr: 2.0000e-02 eta: 15:17:58 time: 0.8467 data_time: 0.0188 memory: 19726 grad_norm: 3.7867 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4226 loss: 1.4226 2022/08/08 23:37:35 - mmengine - INFO - Epoch(train) [17][620/1879] lr: 2.0000e-02 eta: 15:17:40 time: 0.8511 data_time: 0.0193 memory: 19726 grad_norm: 3.9460 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4539 loss: 1.4539 2022/08/08 23:37:52 - mmengine - INFO - Epoch(train) [17][640/1879] lr: 2.0000e-02 eta: 15:17:22 time: 0.8523 data_time: 0.0190 memory: 19726 grad_norm: 3.7770 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5351 loss: 1.5351 2022/08/08 23:38:09 - mmengine - INFO - Epoch(train) [17][660/1879] lr: 2.0000e-02 eta: 15:17:03 time: 0.8479 data_time: 0.0176 memory: 19726 grad_norm: 3.9091 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6495 loss: 1.6495 2022/08/08 23:38:26 - mmengine - INFO - Epoch(train) [17][680/1879] lr: 2.0000e-02 eta: 15:16:45 time: 0.8542 data_time: 0.0187 memory: 19726 grad_norm: 3.7855 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3344 loss: 1.3344 2022/08/08 23:38:43 - mmengine - INFO - Epoch(train) [17][700/1879] lr: 2.0000e-02 eta: 15:16:27 time: 0.8513 data_time: 0.0189 memory: 19726 grad_norm: 3.8853 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4872 loss: 1.4872 2022/08/08 23:39:00 - mmengine - INFO - Epoch(train) [17][720/1879] lr: 2.0000e-02 eta: 15:16:09 time: 0.8571 data_time: 0.0201 memory: 19726 grad_norm: 3.8210 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3834 loss: 1.3834 2022/08/08 23:39:17 - mmengine - INFO - Epoch(train) [17][740/1879] lr: 2.0000e-02 eta: 15:15:51 time: 0.8492 data_time: 0.0180 memory: 19726 grad_norm: 3.7952 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4465 loss: 1.4465 2022/08/08 23:39:34 - mmengine - INFO - Epoch(train) [17][760/1879] lr: 2.0000e-02 eta: 15:15:33 time: 0.8496 data_time: 0.0181 memory: 19726 grad_norm: 3.7239 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4079 loss: 1.4079 2022/08/08 23:39:51 - mmengine - INFO - Epoch(train) [17][780/1879] lr: 2.0000e-02 eta: 15:15:15 time: 0.8561 data_time: 0.0191 memory: 19726 grad_norm: 3.8493 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5043 loss: 1.5043 2022/08/08 23:40:08 - mmengine - INFO - Epoch(train) [17][800/1879] lr: 2.0000e-02 eta: 15:14:56 time: 0.8493 data_time: 0.0199 memory: 19726 grad_norm: 3.8289 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4347 loss: 1.4347 2022/08/08 23:40:25 - mmengine - INFO - Epoch(train) [17][820/1879] lr: 2.0000e-02 eta: 15:14:38 time: 0.8580 data_time: 0.0216 memory: 19726 grad_norm: 3.8954 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5534 loss: 1.5534 2022/08/08 23:40:42 - mmengine - INFO - Epoch(train) [17][840/1879] lr: 2.0000e-02 eta: 15:14:20 time: 0.8499 data_time: 0.0185 memory: 19726 grad_norm: 3.8018 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5624 loss: 1.5624 2022/08/08 23:40:59 - mmengine - INFO - Epoch(train) [17][860/1879] lr: 2.0000e-02 eta: 15:14:02 time: 0.8476 data_time: 0.0178 memory: 19726 grad_norm: 3.8142 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5524 loss: 1.5524 2022/08/08 23:41:16 - mmengine - INFO - Epoch(train) [17][880/1879] lr: 2.0000e-02 eta: 15:13:44 time: 0.8533 data_time: 0.0179 memory: 19726 grad_norm: 3.8636 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4447 loss: 1.4447 2022/08/08 23:41:33 - mmengine - INFO - Epoch(train) [17][900/1879] lr: 2.0000e-02 eta: 15:13:26 time: 0.8490 data_time: 0.0184 memory: 19726 grad_norm: 3.8486 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6777 loss: 1.6777 2022/08/08 23:41:50 - mmengine - INFO - Epoch(train) [17][920/1879] lr: 2.0000e-02 eta: 15:13:07 time: 0.8501 data_time: 0.0191 memory: 19726 grad_norm: 3.9001 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5636 loss: 1.5636 2022/08/08 23:42:04 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 23:42:07 - mmengine - INFO - Epoch(train) [17][940/1879] lr: 2.0000e-02 eta: 15:12:49 time: 0.8496 data_time: 0.0188 memory: 19726 grad_norm: 3.8625 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6390 loss: 1.6390 2022/08/08 23:42:24 - mmengine - INFO - Epoch(train) [17][960/1879] lr: 2.0000e-02 eta: 15:12:31 time: 0.8512 data_time: 0.0186 memory: 19726 grad_norm: 3.8525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6403 loss: 1.6403 2022/08/08 23:42:41 - mmengine - INFO - Epoch(train) [17][980/1879] lr: 2.0000e-02 eta: 15:12:13 time: 0.8502 data_time: 0.0184 memory: 19726 grad_norm: 3.9353 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5353 loss: 1.5353 2022/08/08 23:42:58 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 2.0000e-02 eta: 15:11:54 time: 0.8472 data_time: 0.0183 memory: 19726 grad_norm: 3.8916 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6992 loss: 1.6992 2022/08/08 23:43:15 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 2.0000e-02 eta: 15:11:37 time: 0.8603 data_time: 0.0179 memory: 19726 grad_norm: 3.9939 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4538 loss: 1.4538 2022/08/08 23:43:32 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 2.0000e-02 eta: 15:11:18 time: 0.8529 data_time: 0.0204 memory: 19726 grad_norm: 3.8160 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5569 loss: 1.5569 2022/08/08 23:43:49 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 2.0000e-02 eta: 15:11:01 time: 0.8556 data_time: 0.0255 memory: 19726 grad_norm: 3.8846 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4490 loss: 1.4490 2022/08/08 23:44:06 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 2.0000e-02 eta: 15:10:42 time: 0.8490 data_time: 0.0189 memory: 19726 grad_norm: 3.8665 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7443 loss: 1.7443 2022/08/08 23:44:24 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 2.0000e-02 eta: 15:10:24 time: 0.8565 data_time: 0.0197 memory: 19726 grad_norm: 3.7164 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4305 loss: 1.4305 2022/08/08 23:44:41 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 2.0000e-02 eta: 15:10:06 time: 0.8486 data_time: 0.0185 memory: 19726 grad_norm: 3.7540 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4117 loss: 1.4117 2022/08/08 23:44:58 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 2.0000e-02 eta: 15:09:48 time: 0.8494 data_time: 0.0185 memory: 19726 grad_norm: 3.8023 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4909 loss: 1.4909 2022/08/08 23:45:15 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 2.0000e-02 eta: 15:09:30 time: 0.8634 data_time: 0.0204 memory: 19726 grad_norm: 3.7520 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5656 loss: 1.5656 2022/08/08 23:45:32 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 2.0000e-02 eta: 15:09:12 time: 0.8525 data_time: 0.0187 memory: 19726 grad_norm: 3.8191 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6971 loss: 1.6971 2022/08/08 23:45:49 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 2.0000e-02 eta: 15:08:54 time: 0.8528 data_time: 0.0191 memory: 19726 grad_norm: 3.8649 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4854 loss: 1.4854 2022/08/08 23:46:06 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 2.0000e-02 eta: 15:08:37 time: 0.8702 data_time: 0.0360 memory: 19726 grad_norm: 3.8010 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6122 loss: 1.6122 2022/08/08 23:46:23 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 2.0000e-02 eta: 15:08:18 time: 0.8509 data_time: 0.0193 memory: 19726 grad_norm: 3.6922 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5182 loss: 1.5182 2022/08/08 23:46:41 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 2.0000e-02 eta: 15:08:01 time: 0.8573 data_time: 0.0203 memory: 19726 grad_norm: 3.6012 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/08/08 23:46:58 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 2.0000e-02 eta: 15:07:42 time: 0.8512 data_time: 0.0222 memory: 19726 grad_norm: 3.7918 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4401 loss: 1.4401 2022/08/08 23:47:15 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 2.0000e-02 eta: 15:07:24 time: 0.8565 data_time: 0.0183 memory: 19726 grad_norm: 3.7564 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4272 loss: 1.4272 2022/08/08 23:47:32 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 2.0000e-02 eta: 15:07:06 time: 0.8491 data_time: 0.0187 memory: 19726 grad_norm: 3.7602 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6352 loss: 1.6352 2022/08/08 23:47:49 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 2.0000e-02 eta: 15:06:48 time: 0.8513 data_time: 0.0184 memory: 19726 grad_norm: 3.8425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4565 loss: 1.4565 2022/08/08 23:48:06 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 2.0000e-02 eta: 15:06:30 time: 0.8514 data_time: 0.0192 memory: 19726 grad_norm: 3.8906 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5203 loss: 1.5203 2022/08/08 23:48:23 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 2.0000e-02 eta: 15:06:12 time: 0.8498 data_time: 0.0189 memory: 19726 grad_norm: 3.7162 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5614 loss: 1.5614 2022/08/08 23:48:40 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 2.0000e-02 eta: 15:05:54 time: 0.8504 data_time: 0.0192 memory: 19726 grad_norm: 3.7571 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4912 loss: 1.4912 2022/08/08 23:48:57 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 2.0000e-02 eta: 15:05:36 time: 0.8534 data_time: 0.0180 memory: 19726 grad_norm: 3.7994 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8100 loss: 1.8100 2022/08/08 23:49:14 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 2.0000e-02 eta: 15:05:17 time: 0.8530 data_time: 0.0201 memory: 19726 grad_norm: 3.9129 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8851 loss: 1.8851 2022/08/08 23:49:31 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 2.0000e-02 eta: 15:04:59 time: 0.8485 data_time: 0.0178 memory: 19726 grad_norm: 3.8016 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5482 loss: 1.5482 2022/08/08 23:49:48 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 2.0000e-02 eta: 15:04:41 time: 0.8461 data_time: 0.0180 memory: 19726 grad_norm: 3.8011 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5600 loss: 1.5600 2022/08/08 23:50:05 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 2.0000e-02 eta: 15:04:23 time: 0.8502 data_time: 0.0193 memory: 19726 grad_norm: 3.7103 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4790 loss: 1.4790 2022/08/08 23:50:22 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 2.0000e-02 eta: 15:04:05 time: 0.8582 data_time: 0.0209 memory: 19726 grad_norm: 3.8089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5393 loss: 1.5393 2022/08/08 23:50:39 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 2.0000e-02 eta: 15:03:47 time: 0.8497 data_time: 0.0183 memory: 19726 grad_norm: 3.7320 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5726 loss: 1.5726 2022/08/08 23:50:56 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 2.0000e-02 eta: 15:03:28 time: 0.8501 data_time: 0.0186 memory: 19726 grad_norm: 3.8284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7099 loss: 1.7099 2022/08/08 23:51:13 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 2.0000e-02 eta: 15:03:10 time: 0.8517 data_time: 0.0194 memory: 19726 grad_norm: 3.7817 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6729 loss: 1.6729 2022/08/08 23:51:30 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 2.0000e-02 eta: 15:02:52 time: 0.8498 data_time: 0.0192 memory: 19726 grad_norm: 3.7678 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6394 loss: 1.6394 2022/08/08 23:51:47 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 2.0000e-02 eta: 15:02:34 time: 0.8515 data_time: 0.0198 memory: 19726 grad_norm: 3.8531 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6208 loss: 1.6208 2022/08/08 23:52:04 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 2.0000e-02 eta: 15:02:16 time: 0.8481 data_time: 0.0189 memory: 19726 grad_norm: 3.8240 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6274 loss: 1.6274 2022/08/08 23:52:21 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 2.0000e-02 eta: 15:01:58 time: 0.8520 data_time: 0.0182 memory: 19726 grad_norm: 3.7748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4557 loss: 1.4557 2022/08/08 23:52:38 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 2.0000e-02 eta: 15:01:39 time: 0.8474 data_time: 0.0181 memory: 19726 grad_norm: 3.7275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6371 loss: 1.6371 2022/08/08 23:52:55 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 2.0000e-02 eta: 15:01:22 time: 0.8549 data_time: 0.0190 memory: 19726 grad_norm: 3.8122 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4214 loss: 1.4214 2022/08/08 23:53:12 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 2.0000e-02 eta: 15:01:04 time: 0.8552 data_time: 0.0244 memory: 19726 grad_norm: 3.7298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4585 loss: 1.4585 2022/08/08 23:53:29 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 2.0000e-02 eta: 15:00:45 time: 0.8476 data_time: 0.0188 memory: 19726 grad_norm: 3.9152 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5922 loss: 1.5922 2022/08/08 23:53:46 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 2.0000e-02 eta: 15:00:27 time: 0.8509 data_time: 0.0187 memory: 19726 grad_norm: 3.8751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4456 loss: 1.4456 2022/08/08 23:54:03 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 2.0000e-02 eta: 15:00:09 time: 0.8490 data_time: 0.0189 memory: 19726 grad_norm: 3.8142 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6764 loss: 1.6764 2022/08/08 23:54:20 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 2.0000e-02 eta: 14:59:51 time: 0.8458 data_time: 0.0178 memory: 19726 grad_norm: 3.7918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5550 loss: 1.5550 2022/08/08 23:54:37 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 2.0000e-02 eta: 14:59:33 time: 0.8572 data_time: 0.0178 memory: 19726 grad_norm: 3.7464 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5648 loss: 1.5648 2022/08/08 23:54:54 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 2.0000e-02 eta: 14:59:15 time: 0.8487 data_time: 0.0193 memory: 19726 grad_norm: 3.8019 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7478 loss: 1.7478 2022/08/08 23:55:11 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 2.0000e-02 eta: 14:58:57 time: 0.8555 data_time: 0.0208 memory: 19726 grad_norm: 3.8143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5459 loss: 1.5459 2022/08/08 23:55:27 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 23:55:27 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 2.0000e-02 eta: 14:58:57 time: 0.8320 data_time: 0.0180 memory: 19726 grad_norm: 3.7960 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5026 loss: 1.5026 2022/08/08 23:55:41 - mmengine - INFO - Epoch(val) [17][20/155] eta: 0:01:32 time: 0.6869 data_time: 0.4464 memory: 2699 2022/08/08 23:55:51 - mmengine - INFO - Epoch(val) [17][40/155] eta: 0:00:59 time: 0.5177 data_time: 0.2791 memory: 2699 2022/08/08 23:56:02 - mmengine - INFO - Epoch(val) [17][60/155] eta: 0:00:49 time: 0.5169 data_time: 0.2773 memory: 2699 2022/08/08 23:56:15 - mmengine - INFO - Epoch(val) [17][80/155] eta: 0:00:49 time: 0.6556 data_time: 0.4169 memory: 2699 2022/08/08 23:56:26 - mmengine - INFO - Epoch(val) [17][100/155] eta: 0:00:29 time: 0.5439 data_time: 0.3060 memory: 2699 2022/08/08 23:56:37 - mmengine - INFO - Epoch(val) [17][120/155] eta: 0:00:20 time: 0.5864 data_time: 0.3483 memory: 2699 2022/08/08 23:56:48 - mmengine - INFO - Epoch(val) [17][140/155] eta: 0:00:08 time: 0.5337 data_time: 0.2950 memory: 2699 2022/08/08 23:57:00 - mmengine - INFO - Epoch(val) [17][155/155] acc/top1: 0.6116 acc/top5: 0.8439 acc/mean1: 0.6114 2022/08/08 23:57:22 - mmengine - INFO - Epoch(train) [18][20/1879] lr: 2.0000e-02 eta: 14:58:00 time: 1.1093 data_time: 0.2258 memory: 19726 grad_norm: 3.8067 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5644 loss: 1.5644 2022/08/08 23:57:39 - mmengine - INFO - Epoch(train) [18][40/1879] lr: 2.0000e-02 eta: 14:57:42 time: 0.8463 data_time: 0.0183 memory: 19726 grad_norm: 3.8109 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5234 loss: 1.5234 2022/08/08 23:57:54 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/08 23:57:56 - mmengine - INFO - Epoch(train) [18][60/1879] lr: 2.0000e-02 eta: 14:57:24 time: 0.8553 data_time: 0.0191 memory: 19726 grad_norm: 3.7177 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3498 loss: 1.3498 2022/08/08 23:58:13 - mmengine - INFO - Epoch(train) [18][80/1879] lr: 2.0000e-02 eta: 14:57:06 time: 0.8480 data_time: 0.0169 memory: 19726 grad_norm: 3.8026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5812 loss: 1.5812 2022/08/08 23:58:30 - mmengine - INFO - Epoch(train) [18][100/1879] lr: 2.0000e-02 eta: 14:56:47 time: 0.8440 data_time: 0.0174 memory: 19726 grad_norm: 3.8111 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3799 loss: 1.3799 2022/08/08 23:58:47 - mmengine - INFO - Epoch(train) [18][120/1879] lr: 2.0000e-02 eta: 14:56:29 time: 0.8496 data_time: 0.0186 memory: 19726 grad_norm: 3.8295 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3253 loss: 1.3253 2022/08/08 23:59:04 - mmengine - INFO - Epoch(train) [18][140/1879] lr: 2.0000e-02 eta: 14:56:11 time: 0.8485 data_time: 0.0186 memory: 19726 grad_norm: 3.7328 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5341 loss: 1.5341 2022/08/08 23:59:21 - mmengine - INFO - Epoch(train) [18][160/1879] lr: 2.0000e-02 eta: 14:55:53 time: 0.8482 data_time: 0.0181 memory: 19726 grad_norm: 3.7316 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4094 loss: 1.4094 2022/08/08 23:59:38 - mmengine - INFO - Epoch(train) [18][180/1879] lr: 2.0000e-02 eta: 14:55:35 time: 0.8513 data_time: 0.0186 memory: 19726 grad_norm: 3.8854 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5987 loss: 1.5987 2022/08/08 23:59:55 - mmengine - INFO - Epoch(train) [18][200/1879] lr: 2.0000e-02 eta: 14:55:17 time: 0.8540 data_time: 0.0204 memory: 19726 grad_norm: 3.7918 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5617 loss: 1.5617 2022/08/09 00:00:13 - mmengine - INFO - Epoch(train) [18][220/1879] lr: 2.0000e-02 eta: 14:55:00 time: 0.8844 data_time: 0.0226 memory: 19726 grad_norm: 3.6610 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5025 loss: 1.5025 2022/08/09 00:00:30 - mmengine - INFO - Epoch(train) [18][240/1879] lr: 2.0000e-02 eta: 14:54:42 time: 0.8583 data_time: 0.0196 memory: 19726 grad_norm: 3.6926 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5735 loss: 1.5735 2022/08/09 00:00:47 - mmengine - INFO - Epoch(train) [18][260/1879] lr: 2.0000e-02 eta: 14:54:24 time: 0.8506 data_time: 0.0183 memory: 19726 grad_norm: 3.9569 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4503 loss: 1.4503 2022/08/09 00:01:04 - mmengine - INFO - Epoch(train) [18][280/1879] lr: 2.0000e-02 eta: 14:54:06 time: 0.8538 data_time: 0.0187 memory: 19726 grad_norm: 3.7979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3915 loss: 1.3915 2022/08/09 00:01:21 - mmengine - INFO - Epoch(train) [18][300/1879] lr: 2.0000e-02 eta: 14:53:48 time: 0.8479 data_time: 0.0178 memory: 19726 grad_norm: 3.8355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5187 loss: 1.5187 2022/08/09 00:01:38 - mmengine - INFO - Epoch(train) [18][320/1879] lr: 2.0000e-02 eta: 14:53:30 time: 0.8474 data_time: 0.0184 memory: 19726 grad_norm: 3.8438 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5617 loss: 1.5617 2022/08/09 00:01:55 - mmengine - INFO - Epoch(train) [18][340/1879] lr: 2.0000e-02 eta: 14:53:12 time: 0.8522 data_time: 0.0184 memory: 19726 grad_norm: 3.7581 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7149 loss: 1.7149 2022/08/09 00:02:12 - mmengine - INFO - Epoch(train) [18][360/1879] lr: 2.0000e-02 eta: 14:52:53 time: 0.8503 data_time: 0.0191 memory: 19726 grad_norm: 3.7696 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3567 loss: 1.3567 2022/08/09 00:02:29 - mmengine - INFO - Epoch(train) [18][380/1879] lr: 2.0000e-02 eta: 14:52:35 time: 0.8469 data_time: 0.0194 memory: 19726 grad_norm: 3.7594 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4653 loss: 1.4653 2022/08/09 00:02:46 - mmengine - INFO - Epoch(train) [18][400/1879] lr: 2.0000e-02 eta: 14:52:17 time: 0.8513 data_time: 0.0189 memory: 19726 grad_norm: 3.7462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5477 loss: 1.5477 2022/08/09 00:03:03 - mmengine - INFO - Epoch(train) [18][420/1879] lr: 2.0000e-02 eta: 14:51:59 time: 0.8493 data_time: 0.0192 memory: 19726 grad_norm: 3.8942 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3151 loss: 1.3151 2022/08/09 00:03:20 - mmengine - INFO - Epoch(train) [18][440/1879] lr: 2.0000e-02 eta: 14:51:41 time: 0.8475 data_time: 0.0185 memory: 19726 grad_norm: 3.9151 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6194 loss: 1.6194 2022/08/09 00:03:37 - mmengine - INFO - Epoch(train) [18][460/1879] lr: 2.0000e-02 eta: 14:51:23 time: 0.8472 data_time: 0.0188 memory: 19726 grad_norm: 3.9342 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6611 loss: 1.6611 2022/08/09 00:03:54 - mmengine - INFO - Epoch(train) [18][480/1879] lr: 2.0000e-02 eta: 14:51:05 time: 0.8484 data_time: 0.0191 memory: 19726 grad_norm: 3.7648 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5541 loss: 1.5541 2022/08/09 00:04:11 - mmengine - INFO - Epoch(train) [18][500/1879] lr: 2.0000e-02 eta: 14:50:46 time: 0.8483 data_time: 0.0190 memory: 19726 grad_norm: 3.7315 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4485 loss: 1.4485 2022/08/09 00:04:28 - mmengine - INFO - Epoch(train) [18][520/1879] lr: 2.0000e-02 eta: 14:50:28 time: 0.8552 data_time: 0.0191 memory: 19726 grad_norm: 3.8134 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7148 loss: 1.7148 2022/08/09 00:04:45 - mmengine - INFO - Epoch(train) [18][540/1879] lr: 2.0000e-02 eta: 14:50:10 time: 0.8477 data_time: 0.0193 memory: 19726 grad_norm: 3.7593 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6263 loss: 1.6263 2022/08/09 00:05:02 - mmengine - INFO - Epoch(train) [18][560/1879] lr: 2.0000e-02 eta: 14:49:52 time: 0.8479 data_time: 0.0175 memory: 19726 grad_norm: 3.8223 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4525 loss: 1.4525 2022/08/09 00:05:19 - mmengine - INFO - Epoch(train) [18][580/1879] lr: 2.0000e-02 eta: 14:49:34 time: 0.8509 data_time: 0.0198 memory: 19726 grad_norm: 3.8456 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5145 loss: 1.5145 2022/08/09 00:05:36 - mmengine - INFO - Epoch(train) [18][600/1879] lr: 2.0000e-02 eta: 14:49:16 time: 0.8487 data_time: 0.0193 memory: 19726 grad_norm: 3.7379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5620 loss: 1.5620 2022/08/09 00:05:53 - mmengine - INFO - Epoch(train) [18][620/1879] lr: 2.0000e-02 eta: 14:48:58 time: 0.8549 data_time: 0.0192 memory: 19726 grad_norm: 3.9050 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2602 loss: 1.2602 2022/08/09 00:06:10 - mmengine - INFO - Epoch(train) [18][640/1879] lr: 2.0000e-02 eta: 14:48:40 time: 0.8514 data_time: 0.0198 memory: 19726 grad_norm: 3.8384 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5113 loss: 1.5113 2022/08/09 00:06:27 - mmengine - INFO - Epoch(train) [18][660/1879] lr: 2.0000e-02 eta: 14:48:22 time: 0.8578 data_time: 0.0190 memory: 19726 grad_norm: 3.8350 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5404 loss: 1.5404 2022/08/09 00:06:44 - mmengine - INFO - Epoch(train) [18][680/1879] lr: 2.0000e-02 eta: 14:48:04 time: 0.8508 data_time: 0.0192 memory: 19726 grad_norm: 3.8517 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5240 loss: 1.5240 2022/08/09 00:07:01 - mmengine - INFO - Epoch(train) [18][700/1879] lr: 2.0000e-02 eta: 14:47:46 time: 0.8478 data_time: 0.0177 memory: 19726 grad_norm: 3.9036 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5517 loss: 1.5517 2022/08/09 00:07:18 - mmengine - INFO - Epoch(train) [18][720/1879] lr: 2.0000e-02 eta: 14:47:28 time: 0.8535 data_time: 0.0182 memory: 19726 grad_norm: 3.9042 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4115 loss: 1.4115 2022/08/09 00:07:35 - mmengine - INFO - Epoch(train) [18][740/1879] lr: 2.0000e-02 eta: 14:47:10 time: 0.8494 data_time: 0.0196 memory: 19726 grad_norm: 3.7264 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.4016 loss: 1.4016 2022/08/09 00:07:53 - mmengine - INFO - Epoch(train) [18][760/1879] lr: 2.0000e-02 eta: 14:46:52 time: 0.8573 data_time: 0.0192 memory: 19726 grad_norm: 3.7725 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5426 loss: 1.5426 2022/08/09 00:08:10 - mmengine - INFO - Epoch(train) [18][780/1879] lr: 2.0000e-02 eta: 14:46:34 time: 0.8503 data_time: 0.0197 memory: 19726 grad_norm: 3.7922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3624 loss: 1.3624 2022/08/09 00:08:27 - mmengine - INFO - Epoch(train) [18][800/1879] lr: 2.0000e-02 eta: 14:46:16 time: 0.8535 data_time: 0.0193 memory: 19726 grad_norm: 3.8680 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5074 loss: 1.5074 2022/08/09 00:08:44 - mmengine - INFO - Epoch(train) [18][820/1879] lr: 2.0000e-02 eta: 14:45:58 time: 0.8522 data_time: 0.0196 memory: 19726 grad_norm: 3.8256 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6425 loss: 1.6425 2022/08/09 00:09:01 - mmengine - INFO - Epoch(train) [18][840/1879] lr: 2.0000e-02 eta: 14:45:40 time: 0.8534 data_time: 0.0178 memory: 19726 grad_norm: 3.8602 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6931 loss: 1.6931 2022/08/09 00:09:18 - mmengine - INFO - Epoch(train) [18][860/1879] lr: 2.0000e-02 eta: 14:45:22 time: 0.8522 data_time: 0.0185 memory: 19726 grad_norm: 3.8551 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5042 loss: 1.5042 2022/08/09 00:09:35 - mmengine - INFO - Epoch(train) [18][880/1879] lr: 2.0000e-02 eta: 14:45:04 time: 0.8495 data_time: 0.0193 memory: 19726 grad_norm: 3.7226 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7068 loss: 1.7068 2022/08/09 00:09:52 - mmengine - INFO - Epoch(train) [18][900/1879] lr: 2.0000e-02 eta: 14:44:46 time: 0.8508 data_time: 0.0186 memory: 19726 grad_norm: 3.8710 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6592 loss: 1.6592 2022/08/09 00:10:09 - mmengine - INFO - Epoch(train) [18][920/1879] lr: 2.0000e-02 eta: 14:44:28 time: 0.8535 data_time: 0.0186 memory: 19726 grad_norm: 3.7705 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4268 loss: 1.4268 2022/08/09 00:10:27 - mmengine - INFO - Epoch(train) [18][940/1879] lr: 2.0000e-02 eta: 14:44:11 time: 0.8781 data_time: 0.0238 memory: 19726 grad_norm: 3.7963 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7816 loss: 1.7816 2022/08/09 00:10:44 - mmengine - INFO - Epoch(train) [18][960/1879] lr: 2.0000e-02 eta: 14:43:53 time: 0.8506 data_time: 0.0169 memory: 19726 grad_norm: 3.7605 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4252 loss: 1.4252 2022/08/09 00:11:01 - mmengine - INFO - Epoch(train) [18][980/1879] lr: 2.0000e-02 eta: 14:43:35 time: 0.8482 data_time: 0.0177 memory: 19726 grad_norm: 3.8705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5526 loss: 1.5526 2022/08/09 00:11:17 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 2.0000e-02 eta: 14:43:17 time: 0.8481 data_time: 0.0177 memory: 19726 grad_norm: 3.8484 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7552 loss: 1.7552 2022/08/09 00:11:35 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 2.0000e-02 eta: 14:42:59 time: 0.8565 data_time: 0.0184 memory: 19726 grad_norm: 3.7341 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3750 loss: 1.3750 2022/08/09 00:11:52 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 2.0000e-02 eta: 14:42:41 time: 0.8488 data_time: 0.0188 memory: 19726 grad_norm: 3.8096 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3865 loss: 1.3865 2022/08/09 00:12:06 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 00:12:09 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 2.0000e-02 eta: 14:42:23 time: 0.8608 data_time: 0.0181 memory: 19726 grad_norm: 3.8129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5227 loss: 1.5227 2022/08/09 00:12:26 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 2.0000e-02 eta: 14:42:05 time: 0.8489 data_time: 0.0183 memory: 19726 grad_norm: 3.7680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6024 loss: 1.6024 2022/08/09 00:12:43 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 2.0000e-02 eta: 14:41:47 time: 0.8484 data_time: 0.0176 memory: 19726 grad_norm: 3.7065 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6507 loss: 1.6507 2022/08/09 00:13:00 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 2.0000e-02 eta: 14:41:29 time: 0.8557 data_time: 0.0185 memory: 19726 grad_norm: 3.8193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6461 loss: 1.6461 2022/08/09 00:13:17 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 2.0000e-02 eta: 14:41:11 time: 0.8489 data_time: 0.0193 memory: 19726 grad_norm: 3.8036 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6321 loss: 1.6321 2022/08/09 00:13:34 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 2.0000e-02 eta: 14:40:53 time: 0.8565 data_time: 0.0192 memory: 19726 grad_norm: 3.8107 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5243 loss: 1.5243 2022/08/09 00:13:51 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 2.0000e-02 eta: 14:40:35 time: 0.8481 data_time: 0.0172 memory: 19726 grad_norm: 3.8986 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5216 loss: 1.5216 2022/08/09 00:14:08 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 2.0000e-02 eta: 14:40:17 time: 0.8566 data_time: 0.0182 memory: 19726 grad_norm: 3.8367 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5212 loss: 1.5212 2022/08/09 00:14:25 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 2.0000e-02 eta: 14:39:59 time: 0.8506 data_time: 0.0184 memory: 19726 grad_norm: 3.8820 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6407 loss: 1.6407 2022/08/09 00:14:42 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 2.0000e-02 eta: 14:39:41 time: 0.8467 data_time: 0.0185 memory: 19726 grad_norm: 3.9431 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5953 loss: 1.5953 2022/08/09 00:14:59 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 2.0000e-02 eta: 14:39:23 time: 0.8538 data_time: 0.0206 memory: 19726 grad_norm: 3.8188 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4664 loss: 1.4664 2022/08/09 00:15:16 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 2.0000e-02 eta: 14:39:05 time: 0.8594 data_time: 0.0198 memory: 19726 grad_norm: 3.8547 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5543 loss: 1.5543 2022/08/09 00:15:33 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 2.0000e-02 eta: 14:38:47 time: 0.8548 data_time: 0.0181 memory: 19726 grad_norm: 3.7946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6087 loss: 1.6087 2022/08/09 00:15:50 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 2.0000e-02 eta: 14:38:29 time: 0.8487 data_time: 0.0191 memory: 19726 grad_norm: 3.8391 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6283 loss: 1.6283 2022/08/09 00:16:07 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 2.0000e-02 eta: 14:38:11 time: 0.8489 data_time: 0.0184 memory: 19726 grad_norm: 3.8348 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7611 loss: 1.7611 2022/08/09 00:16:24 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 2.0000e-02 eta: 14:37:53 time: 0.8528 data_time: 0.0191 memory: 19726 grad_norm: 3.8144 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5666 loss: 1.5666 2022/08/09 00:16:42 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 2.0000e-02 eta: 14:37:35 time: 0.8513 data_time: 0.0185 memory: 19726 grad_norm: 3.9452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6084 loss: 1.6084 2022/08/09 00:16:59 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 2.0000e-02 eta: 14:37:17 time: 0.8520 data_time: 0.0188 memory: 19726 grad_norm: 3.8996 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6514 loss: 1.6514 2022/08/09 00:17:15 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 2.0000e-02 eta: 14:36:59 time: 0.8472 data_time: 0.0188 memory: 19726 grad_norm: 3.8253 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5326 loss: 1.5326 2022/08/09 00:17:33 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 2.0000e-02 eta: 14:36:41 time: 0.8531 data_time: 0.0184 memory: 19726 grad_norm: 3.8054 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5915 loss: 1.5915 2022/08/09 00:17:50 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 2.0000e-02 eta: 14:36:23 time: 0.8565 data_time: 0.0194 memory: 19726 grad_norm: 3.8529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5963 loss: 1.5963 2022/08/09 00:18:07 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 2.0000e-02 eta: 14:36:06 time: 0.8627 data_time: 0.0243 memory: 19726 grad_norm: 3.6927 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/08/09 00:18:24 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 2.0000e-02 eta: 14:35:48 time: 0.8469 data_time: 0.0185 memory: 19726 grad_norm: 3.7656 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4422 loss: 1.4422 2022/08/09 00:18:41 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 2.0000e-02 eta: 14:35:30 time: 0.8474 data_time: 0.0188 memory: 19726 grad_norm: 3.8996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5031 loss: 1.5031 2022/08/09 00:18:58 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 2.0000e-02 eta: 14:35:12 time: 0.8516 data_time: 0.0192 memory: 19726 grad_norm: 3.7148 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6138 loss: 1.6138 2022/08/09 00:19:15 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 2.0000e-02 eta: 14:34:54 time: 0.8516 data_time: 0.0218 memory: 19726 grad_norm: 3.7851 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4810 loss: 1.4810 2022/08/09 00:19:32 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 2.0000e-02 eta: 14:34:36 time: 0.8513 data_time: 0.0189 memory: 19726 grad_norm: 3.7127 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4572 loss: 1.4572 2022/08/09 00:19:49 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 2.0000e-02 eta: 14:34:18 time: 0.8517 data_time: 0.0187 memory: 19726 grad_norm: 3.8182 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4321 loss: 1.4321 2022/08/09 00:20:06 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 2.0000e-02 eta: 14:34:00 time: 0.8504 data_time: 0.0186 memory: 19726 grad_norm: 3.9003 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5898 loss: 1.5898 2022/08/09 00:20:23 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 2.0000e-02 eta: 14:33:42 time: 0.8561 data_time: 0.0198 memory: 19726 grad_norm: 3.7441 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5579 loss: 1.5579 2022/08/09 00:20:40 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 2.0000e-02 eta: 14:33:24 time: 0.8511 data_time: 0.0191 memory: 19726 grad_norm: 3.7536 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6367 loss: 1.6367 2022/08/09 00:20:57 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 2.0000e-02 eta: 14:33:06 time: 0.8607 data_time: 0.0187 memory: 19726 grad_norm: 3.7749 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4685 loss: 1.4685 2022/08/09 00:21:14 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 2.0000e-02 eta: 14:32:48 time: 0.8488 data_time: 0.0192 memory: 19726 grad_norm: 3.8298 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5097 loss: 1.5097 2022/08/09 00:21:32 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 2.0000e-02 eta: 14:32:31 time: 0.8605 data_time: 0.0184 memory: 19726 grad_norm: 3.9241 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6244 loss: 1.6244 2022/08/09 00:21:49 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 2.0000e-02 eta: 14:32:12 time: 0.8480 data_time: 0.0189 memory: 19726 grad_norm: 3.8591 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6515 loss: 1.6515 2022/08/09 00:22:06 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 2.0000e-02 eta: 14:31:54 time: 0.8523 data_time: 0.0187 memory: 19726 grad_norm: 3.8465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4973 loss: 1.4973 2022/08/09 00:22:23 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 2.0000e-02 eta: 14:31:37 time: 0.8556 data_time: 0.0283 memory: 19726 grad_norm: 3.7895 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5312 loss: 1.5312 2022/08/09 00:22:40 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 2.0000e-02 eta: 14:31:19 time: 0.8527 data_time: 0.0179 memory: 19726 grad_norm: 3.8885 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5688 loss: 1.5688 2022/08/09 00:22:57 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 2.0000e-02 eta: 14:31:01 time: 0.8553 data_time: 0.0248 memory: 19726 grad_norm: 3.9020 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4980 loss: 1.4980 2022/08/09 00:23:14 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 2.0000e-02 eta: 14:30:43 time: 0.8532 data_time: 0.0186 memory: 19726 grad_norm: 3.8051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4937 loss: 1.4937 2022/08/09 00:23:31 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 2.0000e-02 eta: 14:30:25 time: 0.8510 data_time: 0.0194 memory: 19726 grad_norm: 3.8826 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4166 loss: 1.4166 2022/08/09 00:23:47 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 00:23:47 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 2.0000e-02 eta: 14:30:25 time: 0.8260 data_time: 0.0178 memory: 19726 grad_norm: 3.9329 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.5451 loss: 1.5451 2022/08/09 00:23:47 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/09 00:24:04 - mmengine - INFO - Epoch(val) [18][20/155] eta: 0:01:40 time: 0.7416 data_time: 0.4743 memory: 2699 2022/08/09 00:24:16 - mmengine - INFO - Epoch(val) [18][40/155] eta: 0:01:10 time: 0.6116 data_time: 0.3713 memory: 2699 2022/08/09 00:24:27 - mmengine - INFO - Epoch(val) [18][60/155] eta: 0:00:52 time: 0.5577 data_time: 0.3191 memory: 2699 2022/08/09 00:24:41 - mmengine - INFO - Epoch(val) [18][80/155] eta: 0:00:51 time: 0.6807 data_time: 0.4423 memory: 2699 2022/08/09 00:24:50 - mmengine - INFO - Epoch(val) [18][100/155] eta: 0:00:26 time: 0.4833 data_time: 0.2469 memory: 2699 2022/08/09 00:25:04 - mmengine - INFO - Epoch(val) [18][120/155] eta: 0:00:24 time: 0.6945 data_time: 0.4573 memory: 2699 2022/08/09 00:25:16 - mmengine - INFO - Epoch(val) [18][140/155] eta: 0:00:08 time: 0.5872 data_time: 0.3502 memory: 2699 2022/08/09 00:25:25 - mmengine - INFO - Epoch(val) [18][155/155] acc/top1: 0.6257 acc/top5: 0.8519 acc/mean1: 0.6257 2022/08/09 00:25:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/09 00:25:27 - mmengine - INFO - The best checkpoint with 0.6257 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2022/08/09 00:25:48 - mmengine - INFO - Epoch(train) [19][20/1879] lr: 2.0000e-02 eta: 14:29:29 time: 1.0574 data_time: 0.2146 memory: 19726 grad_norm: 3.6877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4208 loss: 1.4208 2022/08/09 00:26:05 - mmengine - INFO - Epoch(train) [19][40/1879] lr: 2.0000e-02 eta: 14:29:11 time: 0.8491 data_time: 0.0162 memory: 19726 grad_norm: 3.6254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3964 loss: 1.3964 2022/08/09 00:26:22 - mmengine - INFO - Epoch(train) [19][60/1879] lr: 2.0000e-02 eta: 14:28:52 time: 0.8436 data_time: 0.0184 memory: 19726 grad_norm: 3.8708 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4516 loss: 1.4516 2022/08/09 00:26:39 - mmengine - INFO - Epoch(train) [19][80/1879] lr: 2.0000e-02 eta: 14:28:34 time: 0.8463 data_time: 0.0183 memory: 19726 grad_norm: 3.8428 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4575 loss: 1.4575 2022/08/09 00:26:56 - mmengine - INFO - Epoch(train) [19][100/1879] lr: 2.0000e-02 eta: 14:28:16 time: 0.8477 data_time: 0.0190 memory: 19726 grad_norm: 3.7811 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3818 loss: 1.3818 2022/08/09 00:27:13 - mmengine - INFO - Epoch(train) [19][120/1879] lr: 2.0000e-02 eta: 14:27:58 time: 0.8509 data_time: 0.0188 memory: 19726 grad_norm: 3.6993 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4794 loss: 1.4794 2022/08/09 00:27:30 - mmengine - INFO - Epoch(train) [19][140/1879] lr: 2.0000e-02 eta: 14:27:40 time: 0.8524 data_time: 0.0192 memory: 19726 grad_norm: 3.8462 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4415 loss: 1.4415 2022/08/09 00:27:47 - mmengine - INFO - Epoch(train) [19][160/1879] lr: 2.0000e-02 eta: 14:27:22 time: 0.8503 data_time: 0.0186 memory: 19726 grad_norm: 3.8209 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6154 loss: 1.6154 2022/08/09 00:28:02 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 00:28:04 - mmengine - INFO - Epoch(train) [19][180/1879] lr: 2.0000e-02 eta: 14:27:05 time: 0.8586 data_time: 0.0294 memory: 19726 grad_norm: 3.9466 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6351 loss: 1.6351 2022/08/09 00:28:21 - mmengine - INFO - Epoch(train) [19][200/1879] lr: 2.0000e-02 eta: 14:26:47 time: 0.8518 data_time: 0.0186 memory: 19726 grad_norm: 3.7466 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4683 loss: 1.4683 2022/08/09 00:28:38 - mmengine - INFO - Epoch(train) [19][220/1879] lr: 2.0000e-02 eta: 14:26:29 time: 0.8528 data_time: 0.0194 memory: 19726 grad_norm: 3.7497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4749 loss: 1.4749 2022/08/09 00:28:55 - mmengine - INFO - Epoch(train) [19][240/1879] lr: 2.0000e-02 eta: 14:26:11 time: 0.8520 data_time: 0.0179 memory: 19726 grad_norm: 3.8046 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2686 loss: 1.2686 2022/08/09 00:29:12 - mmengine - INFO - Epoch(train) [19][260/1879] lr: 2.0000e-02 eta: 14:25:53 time: 0.8489 data_time: 0.0180 memory: 19726 grad_norm: 3.9544 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4413 loss: 1.4413 2022/08/09 00:29:29 - mmengine - INFO - Epoch(train) [19][280/1879] lr: 2.0000e-02 eta: 14:25:35 time: 0.8498 data_time: 0.0183 memory: 19726 grad_norm: 3.8019 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4705 loss: 1.4705 2022/08/09 00:29:46 - mmengine - INFO - Epoch(train) [19][300/1879] lr: 2.0000e-02 eta: 14:25:17 time: 0.8573 data_time: 0.0196 memory: 19726 grad_norm: 3.8799 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5239 loss: 1.5239 2022/08/09 00:30:03 - mmengine - INFO - Epoch(train) [19][320/1879] lr: 2.0000e-02 eta: 14:24:59 time: 0.8501 data_time: 0.0187 memory: 19726 grad_norm: 3.9112 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6209 loss: 1.6209 2022/08/09 00:30:20 - mmengine - INFO - Epoch(train) [19][340/1879] lr: 2.0000e-02 eta: 14:24:41 time: 0.8558 data_time: 0.0200 memory: 19726 grad_norm: 3.7591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3949 loss: 1.3949 2022/08/09 00:30:37 - mmengine - INFO - Epoch(train) [19][360/1879] lr: 2.0000e-02 eta: 14:24:23 time: 0.8501 data_time: 0.0183 memory: 19726 grad_norm: 3.8247 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5403 loss: 1.5403 2022/08/09 00:30:54 - mmengine - INFO - Epoch(train) [19][380/1879] lr: 2.0000e-02 eta: 14:24:05 time: 0.8452 data_time: 0.0177 memory: 19726 grad_norm: 3.7926 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6093 loss: 1.6093 2022/08/09 00:31:11 - mmengine - INFO - Epoch(train) [19][400/1879] lr: 2.0000e-02 eta: 14:23:47 time: 0.8479 data_time: 0.0184 memory: 19726 grad_norm: 3.8275 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6543 loss: 1.6543 2022/08/09 00:31:28 - mmengine - INFO - Epoch(train) [19][420/1879] lr: 2.0000e-02 eta: 14:23:30 time: 0.8565 data_time: 0.0192 memory: 19726 grad_norm: 3.9097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4347 loss: 1.4347 2022/08/09 00:31:45 - mmengine - INFO - Epoch(train) [19][440/1879] lr: 2.0000e-02 eta: 14:23:12 time: 0.8505 data_time: 0.0192 memory: 19726 grad_norm: 3.7554 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6060 loss: 1.6060 2022/08/09 00:32:02 - mmengine - INFO - Epoch(train) [19][460/1879] lr: 2.0000e-02 eta: 14:22:53 time: 0.8462 data_time: 0.0188 memory: 19726 grad_norm: 3.7287 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5139 loss: 1.5139 2022/08/09 00:32:19 - mmengine - INFO - Epoch(train) [19][480/1879] lr: 2.0000e-02 eta: 14:22:35 time: 0.8487 data_time: 0.0187 memory: 19726 grad_norm: 3.8368 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7884 loss: 1.7884 2022/08/09 00:32:36 - mmengine - INFO - Epoch(train) [19][500/1879] lr: 2.0000e-02 eta: 14:22:18 time: 0.8533 data_time: 0.0185 memory: 19726 grad_norm: 3.9493 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4320 loss: 1.4320 2022/08/09 00:32:53 - mmengine - INFO - Epoch(train) [19][520/1879] lr: 2.0000e-02 eta: 14:22:00 time: 0.8470 data_time: 0.0180 memory: 19726 grad_norm: 3.8489 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4478 loss: 1.4478 2022/08/09 00:33:10 - mmengine - INFO - Epoch(train) [19][540/1879] lr: 2.0000e-02 eta: 14:21:42 time: 0.8513 data_time: 0.0182 memory: 19726 grad_norm: 3.6990 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3282 loss: 1.3282 2022/08/09 00:33:28 - mmengine - INFO - Epoch(train) [19][560/1879] lr: 2.0000e-02 eta: 14:21:24 time: 0.8560 data_time: 0.0203 memory: 19726 grad_norm: 3.8998 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6898 loss: 1.6898 2022/08/09 00:33:45 - mmengine - INFO - Epoch(train) [19][580/1879] lr: 2.0000e-02 eta: 14:21:06 time: 0.8510 data_time: 0.0201 memory: 19726 grad_norm: 3.9562 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.5855 loss: 1.5855 2022/08/09 00:34:02 - mmengine - INFO - Epoch(train) [19][600/1879] lr: 2.0000e-02 eta: 14:20:48 time: 0.8535 data_time: 0.0185 memory: 19726 grad_norm: 3.9202 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5244 loss: 1.5244 2022/08/09 00:34:19 - mmengine - INFO - Epoch(train) [19][620/1879] lr: 2.0000e-02 eta: 14:20:30 time: 0.8506 data_time: 0.0189 memory: 19726 grad_norm: 4.0648 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4712 loss: 1.4712 2022/08/09 00:34:36 - mmengine - INFO - Epoch(train) [19][640/1879] lr: 2.0000e-02 eta: 14:20:12 time: 0.8538 data_time: 0.0188 memory: 19726 grad_norm: 3.8345 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4414 loss: 1.4414 2022/08/09 00:34:53 - mmengine - INFO - Epoch(train) [19][660/1879] lr: 2.0000e-02 eta: 14:19:54 time: 0.8482 data_time: 0.0180 memory: 19726 grad_norm: 3.8164 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5574 loss: 1.5574 2022/08/09 00:35:10 - mmengine - INFO - Epoch(train) [19][680/1879] lr: 2.0000e-02 eta: 14:19:36 time: 0.8495 data_time: 0.0194 memory: 19726 grad_norm: 3.8424 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4781 loss: 1.4781 2022/08/09 00:35:27 - mmengine - INFO - Epoch(train) [19][700/1879] lr: 2.0000e-02 eta: 14:19:18 time: 0.8538 data_time: 0.0195 memory: 19726 grad_norm: 3.8837 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5268 loss: 1.5268 2022/08/09 00:35:44 - mmengine - INFO - Epoch(train) [19][720/1879] lr: 2.0000e-02 eta: 14:19:01 time: 0.8537 data_time: 0.0195 memory: 19726 grad_norm: 3.8316 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4615 loss: 1.4615 2022/08/09 00:36:01 - mmengine - INFO - Epoch(train) [19][740/1879] lr: 2.0000e-02 eta: 14:18:43 time: 0.8520 data_time: 0.0184 memory: 19726 grad_norm: 3.8090 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4718 loss: 1.4718 2022/08/09 00:36:18 - mmengine - INFO - Epoch(train) [19][760/1879] lr: 2.0000e-02 eta: 14:18:25 time: 0.8522 data_time: 0.0194 memory: 19726 grad_norm: 3.9133 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7164 loss: 1.7164 2022/08/09 00:36:35 - mmengine - INFO - Epoch(train) [19][780/1879] lr: 2.0000e-02 eta: 14:18:07 time: 0.8464 data_time: 0.0189 memory: 19726 grad_norm: 3.8094 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6171 loss: 1.6171 2022/08/09 00:36:52 - mmengine - INFO - Epoch(train) [19][800/1879] lr: 2.0000e-02 eta: 14:17:49 time: 0.8538 data_time: 0.0186 memory: 19726 grad_norm: 3.6750 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4857 loss: 1.4857 2022/08/09 00:37:09 - mmengine - INFO - Epoch(train) [19][820/1879] lr: 2.0000e-02 eta: 14:17:31 time: 0.8518 data_time: 0.0188 memory: 19726 grad_norm: 3.8465 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4999 loss: 1.4999 2022/08/09 00:37:26 - mmengine - INFO - Epoch(train) [19][840/1879] lr: 2.0000e-02 eta: 14:17:13 time: 0.8508 data_time: 0.0183 memory: 19726 grad_norm: 3.8495 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6965 loss: 1.6965 2022/08/09 00:37:43 - mmengine - INFO - Epoch(train) [19][860/1879] lr: 2.0000e-02 eta: 14:16:55 time: 0.8501 data_time: 0.0178 memory: 19726 grad_norm: 3.9332 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4551 loss: 1.4551 2022/08/09 00:38:00 - mmengine - INFO - Epoch(train) [19][880/1879] lr: 2.0000e-02 eta: 14:16:37 time: 0.8500 data_time: 0.0186 memory: 19726 grad_norm: 3.7856 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5767 loss: 1.5767 2022/08/09 00:38:17 - mmengine - INFO - Epoch(train) [19][900/1879] lr: 2.0000e-02 eta: 14:16:20 time: 0.8577 data_time: 0.0193 memory: 19726 grad_norm: 3.7402 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3403 loss: 1.3403 2022/08/09 00:38:34 - mmengine - INFO - Epoch(train) [19][920/1879] lr: 2.0000e-02 eta: 14:16:02 time: 0.8498 data_time: 0.0187 memory: 19726 grad_norm: 3.9371 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6058 loss: 1.6058 2022/08/09 00:38:51 - mmengine - INFO - Epoch(train) [19][940/1879] lr: 2.0000e-02 eta: 14:15:44 time: 0.8558 data_time: 0.0189 memory: 19726 grad_norm: 3.7793 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/08/09 00:39:08 - mmengine - INFO - Epoch(train) [19][960/1879] lr: 2.0000e-02 eta: 14:15:26 time: 0.8495 data_time: 0.0183 memory: 19726 grad_norm: 3.8173 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5934 loss: 1.5934 2022/08/09 00:39:25 - mmengine - INFO - Epoch(train) [19][980/1879] lr: 2.0000e-02 eta: 14:15:08 time: 0.8474 data_time: 0.0181 memory: 19726 grad_norm: 3.8215 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5394 loss: 1.5394 2022/08/09 00:39:43 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 2.0000e-02 eta: 14:14:51 time: 0.8730 data_time: 0.0327 memory: 19726 grad_norm: 3.8263 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5462 loss: 1.5462 2022/08/09 00:40:00 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 2.0000e-02 eta: 14:14:33 time: 0.8525 data_time: 0.0195 memory: 19726 grad_norm: 3.8722 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7954 loss: 1.7954 2022/08/09 00:40:17 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 2.0000e-02 eta: 14:14:15 time: 0.8655 data_time: 0.0298 memory: 19726 grad_norm: 3.8475 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6842 loss: 1.6842 2022/08/09 00:40:34 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 2.0000e-02 eta: 14:13:58 time: 0.8542 data_time: 0.0245 memory: 19726 grad_norm: 3.8103 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4659 loss: 1.4659 2022/08/09 00:40:51 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 2.0000e-02 eta: 14:13:40 time: 0.8479 data_time: 0.0176 memory: 19726 grad_norm: 3.7794 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4067 loss: 1.4067 2022/08/09 00:41:08 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 2.0000e-02 eta: 14:13:22 time: 0.8517 data_time: 0.0186 memory: 19726 grad_norm: 3.7969 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5865 loss: 1.5865 2022/08/09 00:41:25 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 2.0000e-02 eta: 14:13:04 time: 0.8520 data_time: 0.0183 memory: 19726 grad_norm: 3.7984 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5445 loss: 1.5445 2022/08/09 00:41:42 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 2.0000e-02 eta: 14:12:46 time: 0.8456 data_time: 0.0183 memory: 19726 grad_norm: 3.7025 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4623 loss: 1.4623 2022/08/09 00:41:59 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 2.0000e-02 eta: 14:12:28 time: 0.8523 data_time: 0.0187 memory: 19726 grad_norm: 3.8050 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4253 loss: 1.4253 2022/08/09 00:42:14 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 00:42:16 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 2.0000e-02 eta: 14:12:10 time: 0.8465 data_time: 0.0177 memory: 19726 grad_norm: 3.9993 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6358 loss: 1.6358 2022/08/09 00:42:33 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 2.0000e-02 eta: 14:11:52 time: 0.8454 data_time: 0.0180 memory: 19726 grad_norm: 3.9500 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6776 loss: 1.6776 2022/08/09 00:42:50 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 2.0000e-02 eta: 14:11:34 time: 0.8556 data_time: 0.0237 memory: 19726 grad_norm: 3.8721 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6252 loss: 1.6252 2022/08/09 00:43:07 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 2.0000e-02 eta: 14:11:16 time: 0.8475 data_time: 0.0205 memory: 19726 grad_norm: 3.7377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5630 loss: 1.5630 2022/08/09 00:43:24 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 2.0000e-02 eta: 14:10:58 time: 0.8475 data_time: 0.0186 memory: 19726 grad_norm: 3.7276 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5083 loss: 1.5083 2022/08/09 00:43:41 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 2.0000e-02 eta: 14:10:40 time: 0.8521 data_time: 0.0192 memory: 19726 grad_norm: 3.7494 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6525 loss: 1.6525 2022/08/09 00:43:58 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 2.0000e-02 eta: 14:10:22 time: 0.8468 data_time: 0.0190 memory: 19726 grad_norm: 3.7160 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6078 loss: 1.6078 2022/08/09 00:44:15 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 2.0000e-02 eta: 14:10:04 time: 0.8533 data_time: 0.0197 memory: 19726 grad_norm: 3.7996 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5290 loss: 1.5290 2022/08/09 00:44:32 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 2.0000e-02 eta: 14:09:46 time: 0.8498 data_time: 0.0189 memory: 19726 grad_norm: 3.8312 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4495 loss: 1.4495 2022/08/09 00:44:49 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 2.0000e-02 eta: 14:09:28 time: 0.8467 data_time: 0.0181 memory: 19726 grad_norm: 3.8258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5778 loss: 1.5778 2022/08/09 00:45:06 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 2.0000e-02 eta: 14:09:11 time: 0.8536 data_time: 0.0195 memory: 19726 grad_norm: 3.7995 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8471 loss: 1.8471 2022/08/09 00:45:23 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 2.0000e-02 eta: 14:08:53 time: 0.8554 data_time: 0.0215 memory: 19726 grad_norm: 3.8057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4540 loss: 1.4540 2022/08/09 00:45:40 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 2.0000e-02 eta: 14:08:35 time: 0.8510 data_time: 0.0187 memory: 19726 grad_norm: 3.6974 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5015 loss: 1.5015 2022/08/09 00:45:57 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 2.0000e-02 eta: 14:08:17 time: 0.8506 data_time: 0.0200 memory: 19726 grad_norm: 3.6776 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5149 loss: 1.5149 2022/08/09 00:46:14 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 2.0000e-02 eta: 14:07:59 time: 0.8476 data_time: 0.0180 memory: 19726 grad_norm: 3.8585 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5193 loss: 1.5193 2022/08/09 00:46:31 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 2.0000e-02 eta: 14:07:41 time: 0.8526 data_time: 0.0202 memory: 19726 grad_norm: 3.8145 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6912 loss: 1.6912 2022/08/09 00:46:48 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 2.0000e-02 eta: 14:07:23 time: 0.8483 data_time: 0.0189 memory: 19726 grad_norm: 3.8676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4874 loss: 1.4874 2022/08/09 00:47:05 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 2.0000e-02 eta: 14:07:05 time: 0.8463 data_time: 0.0182 memory: 19726 grad_norm: 3.7613 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5848 loss: 1.5848 2022/08/09 00:47:22 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 2.0000e-02 eta: 14:06:47 time: 0.8550 data_time: 0.0193 memory: 19726 grad_norm: 3.7343 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4248 loss: 1.4248 2022/08/09 00:47:39 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 2.0000e-02 eta: 14:06:29 time: 0.8484 data_time: 0.0199 memory: 19726 grad_norm: 3.9292 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5510 loss: 1.5510 2022/08/09 00:47:57 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 2.0000e-02 eta: 14:06:12 time: 0.8604 data_time: 0.0295 memory: 19726 grad_norm: 3.8688 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4897 loss: 1.4897 2022/08/09 00:48:14 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 2.0000e-02 eta: 14:05:54 time: 0.8503 data_time: 0.0200 memory: 19726 grad_norm: 3.7962 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2537 loss: 1.2537 2022/08/09 00:48:30 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 2.0000e-02 eta: 14:05:36 time: 0.8482 data_time: 0.0186 memory: 19726 grad_norm: 3.8108 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5522 loss: 1.5522 2022/08/09 00:48:47 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 2.0000e-02 eta: 14:05:18 time: 0.8488 data_time: 0.0193 memory: 19726 grad_norm: 3.8722 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6259 loss: 1.6259 2022/08/09 00:49:04 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 2.0000e-02 eta: 14:05:00 time: 0.8467 data_time: 0.0195 memory: 19726 grad_norm: 3.8272 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3678 loss: 1.3678 2022/08/09 00:49:22 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 2.0000e-02 eta: 14:04:42 time: 0.8549 data_time: 0.0203 memory: 19726 grad_norm: 3.8046 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6744 loss: 1.6744 2022/08/09 00:49:39 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 2.0000e-02 eta: 14:04:24 time: 0.8507 data_time: 0.0187 memory: 19726 grad_norm: 3.8211 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6486 loss: 1.6486 2022/08/09 00:49:55 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 2.0000e-02 eta: 14:04:06 time: 0.8449 data_time: 0.0180 memory: 19726 grad_norm: 3.7920 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5342 loss: 1.5342 2022/08/09 00:50:13 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 2.0000e-02 eta: 14:03:49 time: 0.8678 data_time: 0.0212 memory: 19726 grad_norm: 3.8467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5244 loss: 1.5244 2022/08/09 00:50:30 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 2.0000e-02 eta: 14:03:31 time: 0.8546 data_time: 0.0187 memory: 19726 grad_norm: 3.7761 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4322 loss: 1.4322 2022/08/09 00:50:47 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 2.0000e-02 eta: 14:03:14 time: 0.8555 data_time: 0.0196 memory: 19726 grad_norm: 3.8164 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3525 loss: 1.3525 2022/08/09 00:51:04 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 2.0000e-02 eta: 14:02:56 time: 0.8546 data_time: 0.0208 memory: 19726 grad_norm: 3.7559 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4411 loss: 1.4411 2022/08/09 00:51:21 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 2.0000e-02 eta: 14:02:38 time: 0.8527 data_time: 0.0194 memory: 19726 grad_norm: 3.6593 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4590 loss: 1.4590 2022/08/09 00:51:38 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 2.0000e-02 eta: 14:02:20 time: 0.8595 data_time: 0.0196 memory: 19726 grad_norm: 3.9040 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4553 loss: 1.4553 2022/08/09 00:51:55 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 2.0000e-02 eta: 14:02:02 time: 0.8450 data_time: 0.0186 memory: 19726 grad_norm: 3.7490 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4655 loss: 1.4655 2022/08/09 00:52:11 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 00:52:11 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 2.0000e-02 eta: 14:02:02 time: 0.8250 data_time: 0.0173 memory: 19726 grad_norm: 3.9304 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5278 loss: 1.5278 2022/08/09 00:52:27 - mmengine - INFO - Epoch(val) [19][20/155] eta: 0:01:50 time: 0.8171 data_time: 0.5773 memory: 2699 2022/08/09 00:52:38 - mmengine - INFO - Epoch(val) [19][40/155] eta: 0:01:00 time: 0.5280 data_time: 0.2723 memory: 2699 2022/08/09 00:52:52 - mmengine - INFO - Epoch(val) [19][60/155] eta: 0:01:07 time: 0.7155 data_time: 0.4779 memory: 2699 2022/08/09 00:53:03 - mmengine - INFO - Epoch(val) [19][80/155] eta: 0:00:41 time: 0.5471 data_time: 0.3089 memory: 2699 2022/08/09 00:53:16 - mmengine - INFO - Epoch(val) [19][100/155] eta: 0:00:34 time: 0.6356 data_time: 0.3963 memory: 2699 2022/08/09 00:53:28 - mmengine - INFO - Epoch(val) [19][120/155] eta: 0:00:20 time: 0.5874 data_time: 0.3478 memory: 2699 2022/08/09 00:53:39 - mmengine - INFO - Epoch(val) [19][140/155] eta: 0:00:08 time: 0.5908 data_time: 0.3570 memory: 2699 2022/08/09 00:53:49 - mmengine - INFO - Epoch(val) [19][155/155] acc/top1: 0.6218 acc/top5: 0.8508 acc/mean1: 0.6216 2022/08/09 00:54:11 - mmengine - INFO - Epoch(train) [20][20/1879] lr: 2.0000e-02 eta: 14:01:09 time: 1.0957 data_time: 0.2218 memory: 19726 grad_norm: 3.7452 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4630 loss: 1.4630 2022/08/09 00:54:27 - mmengine - INFO - Epoch(train) [20][40/1879] lr: 2.0000e-02 eta: 14:00:51 time: 0.8436 data_time: 0.0173 memory: 19726 grad_norm: 3.7230 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4266 loss: 1.4266 2022/08/09 00:54:44 - mmengine - INFO - Epoch(train) [20][60/1879] lr: 2.0000e-02 eta: 14:00:33 time: 0.8439 data_time: 0.0188 memory: 19726 grad_norm: 3.7840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4976 loss: 1.4976 2022/08/09 00:55:01 - mmengine - INFO - Epoch(train) [20][80/1879] lr: 2.0000e-02 eta: 14:00:15 time: 0.8480 data_time: 0.0182 memory: 19726 grad_norm: 3.7529 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4859 loss: 1.4859 2022/08/09 00:55:18 - mmengine - INFO - Epoch(train) [20][100/1879] lr: 2.0000e-02 eta: 13:59:57 time: 0.8507 data_time: 0.0198 memory: 19726 grad_norm: 3.8188 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5829 loss: 1.5829 2022/08/09 00:55:35 - mmengine - INFO - Epoch(train) [20][120/1879] lr: 2.0000e-02 eta: 13:59:39 time: 0.8537 data_time: 0.0185 memory: 19726 grad_norm: 3.8801 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3379 loss: 1.3379 2022/08/09 00:55:52 - mmengine - INFO - Epoch(train) [20][140/1879] lr: 2.0000e-02 eta: 13:59:22 time: 0.8513 data_time: 0.0197 memory: 19726 grad_norm: 3.8405 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3249 loss: 1.3249 2022/08/09 00:56:10 - mmengine - INFO - Epoch(train) [20][160/1879] lr: 2.0000e-02 eta: 13:59:04 time: 0.8576 data_time: 0.0207 memory: 19726 grad_norm: 3.7247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2737 loss: 1.2737 2022/08/09 00:56:27 - mmengine - INFO - Epoch(train) [20][180/1879] lr: 2.0000e-02 eta: 13:58:46 time: 0.8474 data_time: 0.0183 memory: 19726 grad_norm: 3.7908 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3636 loss: 1.3636 2022/08/09 00:56:44 - mmengine - INFO - Epoch(train) [20][200/1879] lr: 2.0000e-02 eta: 13:58:28 time: 0.8496 data_time: 0.0196 memory: 19726 grad_norm: 3.9134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5408 loss: 1.5408 2022/08/09 00:57:01 - mmengine - INFO - Epoch(train) [20][220/1879] lr: 2.0000e-02 eta: 13:58:10 time: 0.8572 data_time: 0.0188 memory: 19726 grad_norm: 3.9033 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6527 loss: 1.6527 2022/08/09 00:57:18 - mmengine - INFO - Epoch(train) [20][240/1879] lr: 2.0000e-02 eta: 13:57:53 time: 0.8523 data_time: 0.0193 memory: 19726 grad_norm: 3.8322 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4266 loss: 1.4266 2022/08/09 00:57:35 - mmengine - INFO - Epoch(train) [20][260/1879] lr: 2.0000e-02 eta: 13:57:35 time: 0.8556 data_time: 0.0185 memory: 19726 grad_norm: 3.8449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3277 loss: 1.3277 2022/08/09 00:57:52 - mmengine - INFO - Epoch(train) [20][280/1879] lr: 2.0000e-02 eta: 13:57:17 time: 0.8530 data_time: 0.0190 memory: 19726 grad_norm: 3.8828 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5320 loss: 1.5320 2022/08/09 00:58:08 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 00:58:09 - mmengine - INFO - Epoch(train) [20][300/1879] lr: 2.0000e-02 eta: 13:56:59 time: 0.8542 data_time: 0.0183 memory: 19726 grad_norm: 3.7707 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3440 loss: 1.3440 2022/08/09 00:58:26 - mmengine - INFO - Epoch(train) [20][320/1879] lr: 2.0000e-02 eta: 13:56:42 time: 0.8477 data_time: 0.0193 memory: 19726 grad_norm: 3.8891 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.5626 loss: 1.5626 2022/08/09 00:58:43 - mmengine - INFO - Epoch(train) [20][340/1879] lr: 2.0000e-02 eta: 13:56:24 time: 0.8469 data_time: 0.0183 memory: 19726 grad_norm: 3.6837 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5597 loss: 1.5597 2022/08/09 00:59:00 - mmengine - INFO - Epoch(train) [20][360/1879] lr: 2.0000e-02 eta: 13:56:06 time: 0.8579 data_time: 0.0195 memory: 19726 grad_norm: 3.6496 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2388 loss: 1.2388 2022/08/09 00:59:17 - mmengine - INFO - Epoch(train) [20][380/1879] lr: 2.0000e-02 eta: 13:55:48 time: 0.8491 data_time: 0.0191 memory: 19726 grad_norm: 3.8074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6032 loss: 1.6032 2022/08/09 00:59:34 - mmengine - INFO - Epoch(train) [20][400/1879] lr: 2.0000e-02 eta: 13:55:30 time: 0.8554 data_time: 0.0198 memory: 19726 grad_norm: 3.8746 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3939 loss: 1.3939 2022/08/09 00:59:51 - mmengine - INFO - Epoch(train) [20][420/1879] lr: 2.0000e-02 eta: 13:55:12 time: 0.8480 data_time: 0.0195 memory: 19726 grad_norm: 3.7432 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4360 loss: 1.4360 2022/08/09 01:00:08 - mmengine - INFO - Epoch(train) [20][440/1879] lr: 2.0000e-02 eta: 13:54:55 time: 0.8543 data_time: 0.0198 memory: 19726 grad_norm: 3.9291 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6467 loss: 1.6467 2022/08/09 01:00:25 - mmengine - INFO - Epoch(train) [20][460/1879] lr: 2.0000e-02 eta: 13:54:37 time: 0.8501 data_time: 0.0199 memory: 19726 grad_norm: 3.7923 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3036 loss: 1.3036 2022/08/09 01:00:42 - mmengine - INFO - Epoch(train) [20][480/1879] lr: 2.0000e-02 eta: 13:54:19 time: 0.8483 data_time: 0.0191 memory: 19726 grad_norm: 3.8633 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5569 loss: 1.5569 2022/08/09 01:00:59 - mmengine - INFO - Epoch(train) [20][500/1879] lr: 2.0000e-02 eta: 13:54:01 time: 0.8574 data_time: 0.0198 memory: 19726 grad_norm: 3.8267 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4480 loss: 1.4480 2022/08/09 01:01:16 - mmengine - INFO - Epoch(train) [20][520/1879] lr: 2.0000e-02 eta: 13:53:44 time: 0.8506 data_time: 0.0204 memory: 19726 grad_norm: 3.8404 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4194 loss: 1.4194 2022/08/09 01:01:33 - mmengine - INFO - Epoch(train) [20][540/1879] lr: 2.0000e-02 eta: 13:53:26 time: 0.8511 data_time: 0.0194 memory: 19726 grad_norm: 3.8466 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3056 loss: 1.3056 2022/08/09 01:01:51 - mmengine - INFO - Epoch(train) [20][560/1879] lr: 2.0000e-02 eta: 13:53:08 time: 0.8557 data_time: 0.0186 memory: 19726 grad_norm: 4.0371 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4450 loss: 1.4450 2022/08/09 01:02:07 - mmengine - INFO - Epoch(train) [20][580/1879] lr: 2.0000e-02 eta: 13:52:50 time: 0.8465 data_time: 0.0185 memory: 19726 grad_norm: 3.9285 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5119 loss: 1.5119 2022/08/09 01:02:24 - mmengine - INFO - Epoch(train) [20][600/1879] lr: 2.0000e-02 eta: 13:52:32 time: 0.8525 data_time: 0.0186 memory: 19726 grad_norm: 3.8604 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4573 loss: 1.4573 2022/08/09 01:02:42 - mmengine - INFO - Epoch(train) [20][620/1879] lr: 2.0000e-02 eta: 13:52:14 time: 0.8516 data_time: 0.0198 memory: 19726 grad_norm: 3.7769 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3766 loss: 1.3766 2022/08/09 01:02:59 - mmengine - INFO - Epoch(train) [20][640/1879] lr: 2.0000e-02 eta: 13:51:57 time: 0.8527 data_time: 0.0194 memory: 19726 grad_norm: 3.8301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3110 loss: 1.3110 2022/08/09 01:03:16 - mmengine - INFO - Epoch(train) [20][660/1879] lr: 2.0000e-02 eta: 13:51:39 time: 0.8510 data_time: 0.0190 memory: 19726 grad_norm: 3.8005 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4957 loss: 1.4957 2022/08/09 01:03:33 - mmengine - INFO - Epoch(train) [20][680/1879] lr: 2.0000e-02 eta: 13:51:21 time: 0.8604 data_time: 0.0250 memory: 19726 grad_norm: 3.8092 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3845 loss: 1.3845 2022/08/09 01:03:50 - mmengine - INFO - Epoch(train) [20][700/1879] lr: 2.0000e-02 eta: 13:51:04 time: 0.8542 data_time: 0.0198 memory: 19726 grad_norm: 3.7582 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4711 loss: 1.4711 2022/08/09 01:04:07 - mmengine - INFO - Epoch(train) [20][720/1879] lr: 2.0000e-02 eta: 13:50:46 time: 0.8487 data_time: 0.0188 memory: 19726 grad_norm: 3.8766 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6244 loss: 1.6244 2022/08/09 01:04:24 - mmengine - INFO - Epoch(train) [20][740/1879] lr: 2.0000e-02 eta: 13:50:28 time: 0.8510 data_time: 0.0199 memory: 19726 grad_norm: 3.8517 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4684 loss: 1.4684 2022/08/09 01:04:41 - mmengine - INFO - Epoch(train) [20][760/1879] lr: 2.0000e-02 eta: 13:50:10 time: 0.8509 data_time: 0.0199 memory: 19726 grad_norm: 3.9347 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6262 loss: 1.6262 2022/08/09 01:04:58 - mmengine - INFO - Epoch(train) [20][780/1879] lr: 2.0000e-02 eta: 13:49:52 time: 0.8527 data_time: 0.0184 memory: 19726 grad_norm: 3.8533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5163 loss: 1.5163 2022/08/09 01:05:15 - mmengine - INFO - Epoch(train) [20][800/1879] lr: 2.0000e-02 eta: 13:49:35 time: 0.8502 data_time: 0.0196 memory: 19726 grad_norm: 3.8956 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6362 loss: 1.6362 2022/08/09 01:05:32 - mmengine - INFO - Epoch(train) [20][820/1879] lr: 2.0000e-02 eta: 13:49:17 time: 0.8543 data_time: 0.0198 memory: 19726 grad_norm: 3.8481 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5935 loss: 1.5935 2022/08/09 01:05:49 - mmengine - INFO - Epoch(train) [20][840/1879] lr: 2.0000e-02 eta: 13:48:59 time: 0.8509 data_time: 0.0200 memory: 19726 grad_norm: 3.8167 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5651 loss: 1.5651 2022/08/09 01:06:06 - mmengine - INFO - Epoch(train) [20][860/1879] lr: 2.0000e-02 eta: 13:48:41 time: 0.8491 data_time: 0.0183 memory: 19726 grad_norm: 3.8464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/08/09 01:06:23 - mmengine - INFO - Epoch(train) [20][880/1879] lr: 2.0000e-02 eta: 13:48:24 time: 0.8584 data_time: 0.0190 memory: 19726 grad_norm: 3.7682 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5038 loss: 1.5038 2022/08/09 01:06:40 - mmengine - INFO - Epoch(train) [20][900/1879] lr: 2.0000e-02 eta: 13:48:06 time: 0.8502 data_time: 0.0190 memory: 19726 grad_norm: 3.8041 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4525 loss: 1.4525 2022/08/09 01:06:57 - mmengine - INFO - Epoch(train) [20][920/1879] lr: 2.0000e-02 eta: 13:47:48 time: 0.8540 data_time: 0.0189 memory: 19726 grad_norm: 3.8624 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5005 loss: 1.5005 2022/08/09 01:07:14 - mmengine - INFO - Epoch(train) [20][940/1879] lr: 2.0000e-02 eta: 13:47:30 time: 0.8507 data_time: 0.0190 memory: 19726 grad_norm: 3.8063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5702 loss: 1.5702 2022/08/09 01:07:31 - mmengine - INFO - Epoch(train) [20][960/1879] lr: 2.0000e-02 eta: 13:47:12 time: 0.8525 data_time: 0.0196 memory: 19726 grad_norm: 3.7682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3897 loss: 1.3897 2022/08/09 01:07:49 - mmengine - INFO - Epoch(train) [20][980/1879] lr: 2.0000e-02 eta: 13:46:55 time: 0.8645 data_time: 0.0289 memory: 19726 grad_norm: 3.9038 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4305 loss: 1.4305 2022/08/09 01:08:06 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 2.0000e-02 eta: 13:46:37 time: 0.8559 data_time: 0.0246 memory: 19726 grad_norm: 3.7777 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5476 loss: 1.5476 2022/08/09 01:08:23 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 2.0000e-02 eta: 13:46:20 time: 0.8613 data_time: 0.0196 memory: 19726 grad_norm: 3.8074 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6326 loss: 1.6326 2022/08/09 01:08:40 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 2.0000e-02 eta: 13:46:02 time: 0.8552 data_time: 0.0204 memory: 19726 grad_norm: 3.7765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5426 loss: 1.5426 2022/08/09 01:08:57 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 2.0000e-02 eta: 13:45:44 time: 0.8480 data_time: 0.0181 memory: 19726 grad_norm: 3.8957 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3954 loss: 1.3954 2022/08/09 01:09:14 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 2.0000e-02 eta: 13:45:27 time: 0.8646 data_time: 0.0186 memory: 19726 grad_norm: 3.9104 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4490 loss: 1.4490 2022/08/09 01:09:31 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 2.0000e-02 eta: 13:45:09 time: 0.8497 data_time: 0.0196 memory: 19726 grad_norm: 3.8170 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6001 loss: 1.6001 2022/08/09 01:09:49 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 2.0000e-02 eta: 13:44:51 time: 0.8535 data_time: 0.0191 memory: 19726 grad_norm: 3.8444 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6082 loss: 1.6082 2022/08/09 01:10:06 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 2.0000e-02 eta: 13:44:34 time: 0.8502 data_time: 0.0200 memory: 19726 grad_norm: 3.7015 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6604 loss: 1.6604 2022/08/09 01:10:23 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 2.0000e-02 eta: 13:44:16 time: 0.8570 data_time: 0.0195 memory: 19726 grad_norm: 3.8345 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6329 loss: 1.6329 2022/08/09 01:10:40 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 2.0000e-02 eta: 13:43:58 time: 0.8507 data_time: 0.0181 memory: 19726 grad_norm: 3.7430 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4531 loss: 1.4531 2022/08/09 01:10:57 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 2.0000e-02 eta: 13:43:40 time: 0.8530 data_time: 0.0186 memory: 19726 grad_norm: 3.8356 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3702 loss: 1.3702 2022/08/09 01:11:14 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 2.0000e-02 eta: 13:43:23 time: 0.8555 data_time: 0.0187 memory: 19726 grad_norm: 3.8600 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4976 loss: 1.4976 2022/08/09 01:11:31 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 2.0000e-02 eta: 13:43:05 time: 0.8515 data_time: 0.0196 memory: 19726 grad_norm: 3.8573 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4669 loss: 1.4669 2022/08/09 01:11:48 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 2.0000e-02 eta: 13:42:47 time: 0.8496 data_time: 0.0188 memory: 19726 grad_norm: 3.8279 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6678 loss: 1.6678 2022/08/09 01:12:05 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 2.0000e-02 eta: 13:42:29 time: 0.8493 data_time: 0.0185 memory: 19726 grad_norm: 3.8457 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6105 loss: 1.6105 2022/08/09 01:12:21 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 01:12:22 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 2.0000e-02 eta: 13:42:11 time: 0.8517 data_time: 0.0193 memory: 19726 grad_norm: 3.9104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5126 loss: 1.5126 2022/08/09 01:12:39 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 2.0000e-02 eta: 13:41:54 time: 0.8503 data_time: 0.0182 memory: 19726 grad_norm: 3.7961 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5235 loss: 1.5235 2022/08/09 01:12:56 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 2.0000e-02 eta: 13:41:36 time: 0.8476 data_time: 0.0195 memory: 19726 grad_norm: 3.8010 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4378 loss: 1.4378 2022/08/09 01:13:13 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 2.0000e-02 eta: 13:41:18 time: 0.8517 data_time: 0.0187 memory: 19726 grad_norm: 3.7481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4347 loss: 1.4347 2022/08/09 01:13:30 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 2.0000e-02 eta: 13:41:00 time: 0.8502 data_time: 0.0190 memory: 19726 grad_norm: 3.8315 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5023 loss: 1.5023 2022/08/09 01:13:47 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 2.0000e-02 eta: 13:40:42 time: 0.8503 data_time: 0.0190 memory: 19726 grad_norm: 3.8122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4770 loss: 1.4770 2022/08/09 01:14:04 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 2.0000e-02 eta: 13:40:25 time: 0.8508 data_time: 0.0183 memory: 19726 grad_norm: 3.7966 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3723 loss: 1.3723 2022/08/09 01:14:21 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 2.0000e-02 eta: 13:40:07 time: 0.8515 data_time: 0.0198 memory: 19726 grad_norm: 3.8421 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5042 loss: 1.5042 2022/08/09 01:14:38 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 2.0000e-02 eta: 13:39:49 time: 0.8519 data_time: 0.0191 memory: 19726 grad_norm: 3.8900 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5308 loss: 1.5308 2022/08/09 01:14:55 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 2.0000e-02 eta: 13:39:31 time: 0.8504 data_time: 0.0198 memory: 19726 grad_norm: 3.8079 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5992 loss: 1.5992 2022/08/09 01:15:12 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 2.0000e-02 eta: 13:39:14 time: 0.8559 data_time: 0.0190 memory: 19726 grad_norm: 3.9418 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5854 loss: 1.5854 2022/08/09 01:15:29 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 2.0000e-02 eta: 13:38:56 time: 0.8498 data_time: 0.0185 memory: 19726 grad_norm: 3.8560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4882 loss: 1.4882 2022/08/09 01:15:46 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 2.0000e-02 eta: 13:38:38 time: 0.8467 data_time: 0.0184 memory: 19726 grad_norm: 3.7844 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2778 loss: 1.2778 2022/08/09 01:16:03 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 2.0000e-02 eta: 13:38:20 time: 0.8548 data_time: 0.0183 memory: 19726 grad_norm: 3.8602 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/08/09 01:16:20 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 2.0000e-02 eta: 13:38:02 time: 0.8506 data_time: 0.0200 memory: 19726 grad_norm: 3.9586 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5722 loss: 1.5722 2022/08/09 01:16:37 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 2.0000e-02 eta: 13:37:45 time: 0.8534 data_time: 0.0189 memory: 19726 grad_norm: 3.8010 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4887 loss: 1.4887 2022/08/09 01:16:54 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 2.0000e-02 eta: 13:37:27 time: 0.8514 data_time: 0.0185 memory: 19726 grad_norm: 3.8646 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6555 loss: 1.6555 2022/08/09 01:17:11 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 2.0000e-02 eta: 13:37:09 time: 0.8494 data_time: 0.0193 memory: 19726 grad_norm: 3.9174 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6326 loss: 1.6326 2022/08/09 01:17:28 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 2.0000e-02 eta: 13:36:51 time: 0.8492 data_time: 0.0191 memory: 19726 grad_norm: 3.7288 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4666 loss: 1.4666 2022/08/09 01:17:45 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 2.0000e-02 eta: 13:36:33 time: 0.8510 data_time: 0.0184 memory: 19726 grad_norm: 3.8231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6853 loss: 1.6853 2022/08/09 01:18:03 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 2.0000e-02 eta: 13:36:16 time: 0.8607 data_time: 0.0226 memory: 19726 grad_norm: 3.6239 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5222 loss: 1.5222 2022/08/09 01:18:20 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 2.0000e-02 eta: 13:35:58 time: 0.8472 data_time: 0.0191 memory: 19726 grad_norm: 3.8168 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5495 loss: 1.5495 2022/08/09 01:18:37 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 2.0000e-02 eta: 13:35:40 time: 0.8489 data_time: 0.0180 memory: 19726 grad_norm: 3.9137 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6098 loss: 1.6098 2022/08/09 01:18:54 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 2.0000e-02 eta: 13:35:23 time: 0.8552 data_time: 0.0195 memory: 19726 grad_norm: 3.8701 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4173 loss: 1.4173 2022/08/09 01:19:11 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 2.0000e-02 eta: 13:35:05 time: 0.8520 data_time: 0.0207 memory: 19726 grad_norm: 3.7620 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3621 loss: 1.3621 2022/08/09 01:19:28 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 2.0000e-02 eta: 13:34:47 time: 0.8519 data_time: 0.0191 memory: 19726 grad_norm: 3.7749 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3413 loss: 1.3413 2022/08/09 01:19:45 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 2.0000e-02 eta: 13:34:29 time: 0.8493 data_time: 0.0200 memory: 19726 grad_norm: 3.8964 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4359 loss: 1.4359 2022/08/09 01:20:02 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 2.0000e-02 eta: 13:34:12 time: 0.8528 data_time: 0.0197 memory: 19726 grad_norm: 3.9621 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6717 loss: 1.6717 2022/08/09 01:20:19 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 2.0000e-02 eta: 13:33:54 time: 0.8605 data_time: 0.0203 memory: 19726 grad_norm: 3.7660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6009 loss: 1.6009 2022/08/09 01:20:35 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 01:20:35 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 2.0000e-02 eta: 13:33:54 time: 0.8279 data_time: 0.0159 memory: 19726 grad_norm: 3.9373 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.4291 loss: 1.4291 2022/08/09 01:20:54 - mmengine - INFO - Epoch(val) [20][20/155] eta: 0:02:08 time: 0.9524 data_time: 0.7035 memory: 2699 2022/08/09 01:21:03 - mmengine - INFO - Epoch(val) [20][40/155] eta: 0:00:53 time: 0.4677 data_time: 0.2290 memory: 2699 2022/08/09 01:21:17 - mmengine - INFO - Epoch(val) [20][60/155] eta: 0:01:05 time: 0.6882 data_time: 0.4440 memory: 2699 2022/08/09 01:21:30 - mmengine - INFO - Epoch(val) [20][80/155] eta: 0:00:48 time: 0.6498 data_time: 0.4055 memory: 2699 2022/08/09 01:21:41 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:29 time: 0.5360 data_time: 0.2971 memory: 2699 2022/08/09 01:21:54 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:23 time: 0.6720 data_time: 0.4304 memory: 2699 2022/08/09 01:22:06 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:08 time: 0.5970 data_time: 0.3637 memory: 2699 2022/08/09 01:22:16 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.6189 acc/top5: 0.8491 acc/mean1: 0.6188 2022/08/09 01:22:38 - mmengine - INFO - Epoch(train) [21][20/1879] lr: 2.0000e-02 eta: 13:33:03 time: 1.0992 data_time: 0.2108 memory: 19726 grad_norm: 3.8202 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4403 loss: 1.4403 2022/08/09 01:22:55 - mmengine - INFO - Epoch(train) [21][40/1879] lr: 2.0000e-02 eta: 13:32:45 time: 0.8495 data_time: 0.0184 memory: 19726 grad_norm: 3.7006 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6265 loss: 1.6265 2022/08/09 01:23:13 - mmengine - INFO - Epoch(train) [21][60/1879] lr: 2.0000e-02 eta: 13:32:27 time: 0.8523 data_time: 0.0199 memory: 19726 grad_norm: 3.7789 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4349 loss: 1.4349 2022/08/09 01:23:29 - mmengine - INFO - Epoch(train) [21][80/1879] lr: 2.0000e-02 eta: 13:32:09 time: 0.8453 data_time: 0.0193 memory: 19726 grad_norm: 3.7235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3973 loss: 1.3973 2022/08/09 01:23:47 - mmengine - INFO - Epoch(train) [21][100/1879] lr: 2.0000e-02 eta: 13:31:52 time: 0.8549 data_time: 0.0182 memory: 19726 grad_norm: 3.7626 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.3048 loss: 1.3048 2022/08/09 01:24:04 - mmengine - INFO - Epoch(train) [21][120/1879] lr: 2.0000e-02 eta: 13:31:34 time: 0.8499 data_time: 0.0211 memory: 19726 grad_norm: 3.7972 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2578 loss: 1.2578 2022/08/09 01:24:21 - mmengine - INFO - Epoch(train) [21][140/1879] lr: 2.0000e-02 eta: 13:31:16 time: 0.8514 data_time: 0.0194 memory: 19726 grad_norm: 3.6658 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5002 loss: 1.5002 2022/08/09 01:24:38 - mmengine - INFO - Epoch(train) [21][160/1879] lr: 2.0000e-02 eta: 13:30:58 time: 0.8523 data_time: 0.0193 memory: 19726 grad_norm: 3.7526 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5400 loss: 1.5400 2022/08/09 01:24:55 - mmengine - INFO - Epoch(train) [21][180/1879] lr: 2.0000e-02 eta: 13:30:41 time: 0.8521 data_time: 0.0190 memory: 19726 grad_norm: 3.8106 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5207 loss: 1.5207 2022/08/09 01:25:12 - mmengine - INFO - Epoch(train) [21][200/1879] lr: 2.0000e-02 eta: 13:30:23 time: 0.8607 data_time: 0.0213 memory: 19726 grad_norm: 3.8260 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3149 loss: 1.3149 2022/08/09 01:25:29 - mmengine - INFO - Epoch(train) [21][220/1879] lr: 2.0000e-02 eta: 13:30:06 time: 0.8646 data_time: 0.0308 memory: 19726 grad_norm: 3.7675 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4955 loss: 1.4955 2022/08/09 01:25:46 - mmengine - INFO - Epoch(train) [21][240/1879] lr: 2.0000e-02 eta: 13:29:48 time: 0.8628 data_time: 0.0200 memory: 19726 grad_norm: 3.8089 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5390 loss: 1.5390 2022/08/09 01:26:04 - mmengine - INFO - Epoch(train) [21][260/1879] lr: 2.0000e-02 eta: 13:29:31 time: 0.8566 data_time: 0.0204 memory: 19726 grad_norm: 3.8224 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3259 loss: 1.3259 2022/08/09 01:26:21 - mmengine - INFO - Epoch(train) [21][280/1879] lr: 2.0000e-02 eta: 13:29:13 time: 0.8561 data_time: 0.0187 memory: 19726 grad_norm: 3.8133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5399 loss: 1.5399 2022/08/09 01:26:38 - mmengine - INFO - Epoch(train) [21][300/1879] lr: 2.0000e-02 eta: 13:28:55 time: 0.8482 data_time: 0.0179 memory: 19726 grad_norm: 3.6854 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3698 loss: 1.3698 2022/08/09 01:26:55 - mmengine - INFO - Epoch(train) [21][320/1879] lr: 2.0000e-02 eta: 13:28:38 time: 0.8494 data_time: 0.0184 memory: 19726 grad_norm: 3.8509 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3394 loss: 1.3394 2022/08/09 01:27:12 - mmengine - INFO - Epoch(train) [21][340/1879] lr: 2.0000e-02 eta: 13:28:20 time: 0.8563 data_time: 0.0205 memory: 19726 grad_norm: 3.8910 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4698 loss: 1.4698 2022/08/09 01:27:29 - mmengine - INFO - Epoch(train) [21][360/1879] lr: 2.0000e-02 eta: 13:28:02 time: 0.8478 data_time: 0.0195 memory: 19726 grad_norm: 3.7781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3356 loss: 1.3356 2022/08/09 01:27:46 - mmengine - INFO - Epoch(train) [21][380/1879] lr: 2.0000e-02 eta: 13:27:44 time: 0.8478 data_time: 0.0187 memory: 19726 grad_norm: 3.8211 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2602 loss: 1.2602 2022/08/09 01:28:03 - mmengine - INFO - Epoch(train) [21][400/1879] lr: 2.0000e-02 eta: 13:27:27 time: 0.8624 data_time: 0.0209 memory: 19726 grad_norm: 3.8649 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3280 loss: 1.3280 2022/08/09 01:28:20 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 01:28:20 - mmengine - INFO - Epoch(train) [21][420/1879] lr: 2.0000e-02 eta: 13:27:09 time: 0.8497 data_time: 0.0201 memory: 19726 grad_norm: 4.0197 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5312 loss: 1.5312 2022/08/09 01:28:37 - mmengine - INFO - Epoch(train) [21][440/1879] lr: 2.0000e-02 eta: 13:26:51 time: 0.8537 data_time: 0.0193 memory: 19726 grad_norm: 3.8521 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6610 loss: 1.6610 2022/08/09 01:28:54 - mmengine - INFO - Epoch(train) [21][460/1879] lr: 2.0000e-02 eta: 13:26:34 time: 0.8493 data_time: 0.0192 memory: 19726 grad_norm: 3.7973 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3651 loss: 1.3651 2022/08/09 01:29:11 - mmengine - INFO - Epoch(train) [21][480/1879] lr: 2.0000e-02 eta: 13:26:16 time: 0.8611 data_time: 0.0280 memory: 19726 grad_norm: 3.8383 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4241 loss: 1.4241 2022/08/09 01:29:28 - mmengine - INFO - Epoch(train) [21][500/1879] lr: 2.0000e-02 eta: 13:25:58 time: 0.8486 data_time: 0.0195 memory: 19726 grad_norm: 3.7135 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3664 loss: 1.3664 2022/08/09 01:29:45 - mmengine - INFO - Epoch(train) [21][520/1879] lr: 2.0000e-02 eta: 13:25:41 time: 0.8516 data_time: 0.0199 memory: 19726 grad_norm: 3.8392 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5973 loss: 1.5973 2022/08/09 01:30:02 - mmengine - INFO - Epoch(train) [21][540/1879] lr: 2.0000e-02 eta: 13:25:23 time: 0.8518 data_time: 0.0185 memory: 19726 grad_norm: 3.7825 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4353 loss: 1.4353 2022/08/09 01:30:20 - mmengine - INFO - Epoch(train) [21][560/1879] lr: 2.0000e-02 eta: 13:25:06 time: 0.8624 data_time: 0.0216 memory: 19726 grad_norm: 3.8456 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4974 loss: 1.4974 2022/08/09 01:30:37 - mmengine - INFO - Epoch(train) [21][580/1879] lr: 2.0000e-02 eta: 13:24:48 time: 0.8571 data_time: 0.0186 memory: 19726 grad_norm: 3.9121 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5423 loss: 1.5423 2022/08/09 01:30:54 - mmengine - INFO - Epoch(train) [21][600/1879] lr: 2.0000e-02 eta: 13:24:30 time: 0.8534 data_time: 0.0199 memory: 19726 grad_norm: 3.9327 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6164 loss: 1.6164 2022/08/09 01:31:11 - mmengine - INFO - Epoch(train) [21][620/1879] lr: 2.0000e-02 eta: 13:24:13 time: 0.8512 data_time: 0.0185 memory: 19726 grad_norm: 3.7746 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4816 loss: 1.4816 2022/08/09 01:31:28 - mmengine - INFO - Epoch(train) [21][640/1879] lr: 2.0000e-02 eta: 13:23:55 time: 0.8517 data_time: 0.0188 memory: 19726 grad_norm: 3.8000 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3370 loss: 1.3370 2022/08/09 01:31:45 - mmengine - INFO - Epoch(train) [21][660/1879] lr: 2.0000e-02 eta: 13:23:37 time: 0.8519 data_time: 0.0188 memory: 19726 grad_norm: 3.8540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4498 loss: 1.4498 2022/08/09 01:32:02 - mmengine - INFO - Epoch(train) [21][680/1879] lr: 2.0000e-02 eta: 13:23:20 time: 0.8513 data_time: 0.0208 memory: 19726 grad_norm: 3.7860 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5660 loss: 1.5660 2022/08/09 01:32:19 - mmengine - INFO - Epoch(train) [21][700/1879] lr: 2.0000e-02 eta: 13:23:02 time: 0.8490 data_time: 0.0202 memory: 19726 grad_norm: 3.7641 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3121 loss: 1.3121 2022/08/09 01:32:36 - mmengine - INFO - Epoch(train) [21][720/1879] lr: 2.0000e-02 eta: 13:22:44 time: 0.8539 data_time: 0.0189 memory: 19726 grad_norm: 3.8063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4495 loss: 1.4495 2022/08/09 01:32:53 - mmengine - INFO - Epoch(train) [21][740/1879] lr: 2.0000e-02 eta: 13:22:27 time: 0.8564 data_time: 0.0196 memory: 19726 grad_norm: 3.6628 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5570 loss: 1.5570 2022/08/09 01:33:10 - mmengine - INFO - Epoch(train) [21][760/1879] lr: 2.0000e-02 eta: 13:22:09 time: 0.8517 data_time: 0.0190 memory: 19726 grad_norm: 3.8932 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4295 loss: 1.4295 2022/08/09 01:33:27 - mmengine - INFO - Epoch(train) [21][780/1879] lr: 2.0000e-02 eta: 13:21:51 time: 0.8482 data_time: 0.0183 memory: 19726 grad_norm: 3.8350 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6137 loss: 1.6137 2022/08/09 01:33:44 - mmengine - INFO - Epoch(train) [21][800/1879] lr: 2.0000e-02 eta: 13:21:33 time: 0.8524 data_time: 0.0200 memory: 19726 grad_norm: 3.7945 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5274 loss: 1.5274 2022/08/09 01:34:01 - mmengine - INFO - Epoch(train) [21][820/1879] lr: 2.0000e-02 eta: 13:21:16 time: 0.8488 data_time: 0.0180 memory: 19726 grad_norm: 3.8366 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3221 loss: 1.3221 2022/08/09 01:34:18 - mmengine - INFO - Epoch(train) [21][840/1879] lr: 2.0000e-02 eta: 13:20:58 time: 0.8514 data_time: 0.0190 memory: 19726 grad_norm: 3.8684 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6495 loss: 1.6495 2022/08/09 01:34:35 - mmengine - INFO - Epoch(train) [21][860/1879] lr: 2.0000e-02 eta: 13:20:40 time: 0.8606 data_time: 0.0187 memory: 19726 grad_norm: 3.8677 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3902 loss: 1.3902 2022/08/09 01:34:53 - mmengine - INFO - Epoch(train) [21][880/1879] lr: 2.0000e-02 eta: 13:20:23 time: 0.8552 data_time: 0.0199 memory: 19726 grad_norm: 3.8297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4100 loss: 1.4100 2022/08/09 01:35:10 - mmengine - INFO - Epoch(train) [21][900/1879] lr: 2.0000e-02 eta: 13:20:05 time: 0.8548 data_time: 0.0206 memory: 19726 grad_norm: 3.7534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4561 loss: 1.4561 2022/08/09 01:35:27 - mmengine - INFO - Epoch(train) [21][920/1879] lr: 2.0000e-02 eta: 13:19:48 time: 0.8736 data_time: 0.0237 memory: 19726 grad_norm: 3.8563 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4631 loss: 1.4631 2022/08/09 01:35:44 - mmengine - INFO - Epoch(train) [21][940/1879] lr: 2.0000e-02 eta: 13:19:30 time: 0.8537 data_time: 0.0179 memory: 19726 grad_norm: 3.7615 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3735 loss: 1.3735 2022/08/09 01:36:01 - mmengine - INFO - Epoch(train) [21][960/1879] lr: 2.0000e-02 eta: 13:19:13 time: 0.8503 data_time: 0.0192 memory: 19726 grad_norm: 3.9429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5265 loss: 1.5265 2022/08/09 01:36:18 - mmengine - INFO - Epoch(train) [21][980/1879] lr: 2.0000e-02 eta: 13:18:55 time: 0.8502 data_time: 0.0192 memory: 19726 grad_norm: 3.8093 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4428 loss: 1.4428 2022/08/09 01:36:35 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 2.0000e-02 eta: 13:18:37 time: 0.8571 data_time: 0.0207 memory: 19726 grad_norm: 3.7844 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5521 loss: 1.5521 2022/08/09 01:36:52 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 2.0000e-02 eta: 13:18:20 time: 0.8489 data_time: 0.0189 memory: 19726 grad_norm: 3.7893 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4755 loss: 1.4755 2022/08/09 01:37:09 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 2.0000e-02 eta: 13:18:02 time: 0.8477 data_time: 0.0180 memory: 19726 grad_norm: 3.9021 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5299 loss: 1.5299 2022/08/09 01:37:26 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 2.0000e-02 eta: 13:17:44 time: 0.8513 data_time: 0.0187 memory: 19726 grad_norm: 3.8933 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6575 loss: 1.6575 2022/08/09 01:37:43 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 2.0000e-02 eta: 13:17:26 time: 0.8501 data_time: 0.0198 memory: 19726 grad_norm: 3.9797 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5014 loss: 1.5014 2022/08/09 01:38:01 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 2.0000e-02 eta: 13:17:09 time: 0.8689 data_time: 0.0188 memory: 19726 grad_norm: 3.8753 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5162 loss: 1.5162 2022/08/09 01:38:18 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 2.0000e-02 eta: 13:16:51 time: 0.8490 data_time: 0.0196 memory: 19726 grad_norm: 3.8389 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5042 loss: 1.5042 2022/08/09 01:38:35 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 2.0000e-02 eta: 13:16:34 time: 0.8508 data_time: 0.0195 memory: 19726 grad_norm: 3.9113 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5417 loss: 1.5417 2022/08/09 01:38:52 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 2.0000e-02 eta: 13:16:16 time: 0.8484 data_time: 0.0194 memory: 19726 grad_norm: 3.8692 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4897 loss: 1.4897 2022/08/09 01:39:09 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 2.0000e-02 eta: 13:15:58 time: 0.8562 data_time: 0.0206 memory: 19726 grad_norm: 3.9273 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5503 loss: 1.5503 2022/08/09 01:39:26 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 2.0000e-02 eta: 13:15:41 time: 0.8503 data_time: 0.0188 memory: 19726 grad_norm: 3.9463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4550 loss: 1.4550 2022/08/09 01:39:43 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 2.0000e-02 eta: 13:15:23 time: 0.8527 data_time: 0.0196 memory: 19726 grad_norm: 3.8283 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3262 loss: 1.3262 2022/08/09 01:40:00 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 2.0000e-02 eta: 13:15:05 time: 0.8487 data_time: 0.0181 memory: 19726 grad_norm: 3.8884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4657 loss: 1.4657 2022/08/09 01:40:17 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 2.0000e-02 eta: 13:14:48 time: 0.8699 data_time: 0.0203 memory: 19726 grad_norm: 3.8339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/08/09 01:40:35 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 2.0000e-02 eta: 13:14:31 time: 0.8828 data_time: 0.0203 memory: 19726 grad_norm: 3.8476 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7036 loss: 1.7036 2022/08/09 01:40:52 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 2.0000e-02 eta: 13:14:14 time: 0.8651 data_time: 0.0286 memory: 19726 grad_norm: 3.7221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/08/09 01:41:09 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 2.0000e-02 eta: 13:13:56 time: 0.8469 data_time: 0.0182 memory: 19726 grad_norm: 3.7956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4299 loss: 1.4299 2022/08/09 01:41:26 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 2.0000e-02 eta: 13:13:38 time: 0.8477 data_time: 0.0194 memory: 19726 grad_norm: 3.8136 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4287 loss: 1.4287 2022/08/09 01:41:43 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 2.0000e-02 eta: 13:13:21 time: 0.8545 data_time: 0.0192 memory: 19726 grad_norm: 3.8781 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4354 loss: 1.4354 2022/08/09 01:42:00 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 2.0000e-02 eta: 13:13:03 time: 0.8492 data_time: 0.0193 memory: 19726 grad_norm: 3.8308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6434 loss: 1.6434 2022/08/09 01:42:17 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 2.0000e-02 eta: 13:12:45 time: 0.8532 data_time: 0.0193 memory: 19726 grad_norm: 3.8152 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6874 loss: 1.6874 2022/08/09 01:42:34 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 01:42:34 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 2.0000e-02 eta: 13:12:27 time: 0.8519 data_time: 0.0193 memory: 19726 grad_norm: 3.8850 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4610 loss: 1.4610 2022/08/09 01:42:51 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 2.0000e-02 eta: 13:12:10 time: 0.8474 data_time: 0.0189 memory: 19726 grad_norm: 3.8156 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4067 loss: 1.4067 2022/08/09 01:43:08 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 2.0000e-02 eta: 13:11:52 time: 0.8579 data_time: 0.0253 memory: 19726 grad_norm: 3.8066 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5258 loss: 1.5258 2022/08/09 01:43:25 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 2.0000e-02 eta: 13:11:34 time: 0.8485 data_time: 0.0195 memory: 19726 grad_norm: 3.7785 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3764 loss: 1.3764 2022/08/09 01:43:42 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 2.0000e-02 eta: 13:11:17 time: 0.8478 data_time: 0.0188 memory: 19726 grad_norm: 3.8535 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3982 loss: 1.3982 2022/08/09 01:43:59 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 2.0000e-02 eta: 13:10:59 time: 0.8491 data_time: 0.0190 memory: 19726 grad_norm: 3.8209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/08/09 01:44:16 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 2.0000e-02 eta: 13:10:41 time: 0.8491 data_time: 0.0190 memory: 19726 grad_norm: 3.7771 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3364 loss: 1.3364 2022/08/09 01:44:33 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 2.0000e-02 eta: 13:10:23 time: 0.8518 data_time: 0.0195 memory: 19726 grad_norm: 3.9108 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5121 loss: 1.5121 2022/08/09 01:44:50 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 2.0000e-02 eta: 13:10:06 time: 0.8485 data_time: 0.0186 memory: 19726 grad_norm: 3.9152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7390 loss: 1.7390 2022/08/09 01:45:07 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 2.0000e-02 eta: 13:09:48 time: 0.8494 data_time: 0.0210 memory: 19726 grad_norm: 3.8884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4288 loss: 1.4288 2022/08/09 01:45:25 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 2.0000e-02 eta: 13:09:30 time: 0.8605 data_time: 0.0199 memory: 19726 grad_norm: 3.7711 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5346 loss: 1.5346 2022/08/09 01:45:42 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 2.0000e-02 eta: 13:09:13 time: 0.8492 data_time: 0.0197 memory: 19726 grad_norm: 3.9019 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5782 loss: 1.5782 2022/08/09 01:45:59 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 2.0000e-02 eta: 13:08:55 time: 0.8553 data_time: 0.0181 memory: 19726 grad_norm: 3.8735 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5453 loss: 1.5453 2022/08/09 01:46:16 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 2.0000e-02 eta: 13:08:37 time: 0.8506 data_time: 0.0203 memory: 19726 grad_norm: 3.7302 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5611 loss: 1.5611 2022/08/09 01:46:33 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 2.0000e-02 eta: 13:08:20 time: 0.8530 data_time: 0.0188 memory: 19726 grad_norm: 3.8330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6737 loss: 1.6737 2022/08/09 01:46:50 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 2.0000e-02 eta: 13:08:02 time: 0.8500 data_time: 0.0191 memory: 19726 grad_norm: 3.8020 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4260 loss: 1.4260 2022/08/09 01:47:07 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 2.0000e-02 eta: 13:07:44 time: 0.8567 data_time: 0.0195 memory: 19726 grad_norm: 3.8008 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4564 loss: 1.4564 2022/08/09 01:47:24 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 2.0000e-02 eta: 13:07:27 time: 0.8523 data_time: 0.0198 memory: 19726 grad_norm: 3.8829 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5322 loss: 1.5322 2022/08/09 01:47:41 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 2.0000e-02 eta: 13:07:09 time: 0.8478 data_time: 0.0181 memory: 19726 grad_norm: 3.8489 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4810 loss: 1.4810 2022/08/09 01:47:58 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 2.0000e-02 eta: 13:06:51 time: 0.8564 data_time: 0.0193 memory: 19726 grad_norm: 3.9097 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4726 loss: 1.4726 2022/08/09 01:48:15 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 2.0000e-02 eta: 13:06:34 time: 0.8500 data_time: 0.0198 memory: 19726 grad_norm: 3.8511 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3977 loss: 1.3977 2022/08/09 01:48:32 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 2.0000e-02 eta: 13:06:16 time: 0.8546 data_time: 0.0197 memory: 19726 grad_norm: 3.8718 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4915 loss: 1.4915 2022/08/09 01:48:49 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 2.0000e-02 eta: 13:05:58 time: 0.8492 data_time: 0.0190 memory: 19726 grad_norm: 3.9622 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4406 loss: 1.4406 2022/08/09 01:49:05 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 01:49:05 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 2.0000e-02 eta: 13:05:58 time: 0.8474 data_time: 0.0179 memory: 19726 grad_norm: 3.9756 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.7590 loss: 1.7590 2022/08/09 01:49:05 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/09 01:49:24 - mmengine - INFO - Epoch(val) [21][20/155] eta: 0:01:48 time: 0.8043 data_time: 0.5645 memory: 2699 2022/08/09 01:49:32 - mmengine - INFO - Epoch(val) [21][40/155] eta: 0:00:50 time: 0.4396 data_time: 0.1998 memory: 2699 2022/08/09 01:49:46 - mmengine - INFO - Epoch(val) [21][60/155] eta: 0:01:02 time: 0.6546 data_time: 0.4170 memory: 2699 2022/08/09 01:49:58 - mmengine - INFO - Epoch(val) [21][80/155] eta: 0:00:46 time: 0.6245 data_time: 0.3864 memory: 2699 2022/08/09 01:50:11 - mmengine - INFO - Epoch(val) [21][100/155] eta: 0:00:36 time: 0.6591 data_time: 0.4196 memory: 2699 2022/08/09 01:50:23 - mmengine - INFO - Epoch(val) [21][120/155] eta: 0:00:21 time: 0.6047 data_time: 0.3675 memory: 2699 2022/08/09 01:50:35 - mmengine - INFO - Epoch(val) [21][140/155] eta: 0:00:08 time: 0.5870 data_time: 0.3523 memory: 2699 2022/08/09 01:50:43 - mmengine - INFO - Epoch(val) [21][155/155] acc/top1: 0.6182 acc/top5: 0.8471 acc/mean1: 0.6180 2022/08/09 01:51:05 - mmengine - INFO - Epoch(train) [22][20/1879] lr: 2.0000e-02 eta: 13:05:08 time: 1.0889 data_time: 0.2302 memory: 19726 grad_norm: 3.7787 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4798 loss: 1.4798 2022/08/09 01:51:22 - mmengine - INFO - Epoch(train) [22][40/1879] lr: 2.0000e-02 eta: 13:04:50 time: 0.8435 data_time: 0.0179 memory: 19726 grad_norm: 3.7752 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2439 loss: 1.2439 2022/08/09 01:51:39 - mmengine - INFO - Epoch(train) [22][60/1879] lr: 2.0000e-02 eta: 13:04:32 time: 0.8466 data_time: 0.0192 memory: 19726 grad_norm: 3.7273 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5316 loss: 1.5316 2022/08/09 01:51:56 - mmengine - INFO - Epoch(train) [22][80/1879] lr: 2.0000e-02 eta: 13:04:15 time: 0.8572 data_time: 0.0199 memory: 19726 grad_norm: 3.9497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4710 loss: 1.4710 2022/08/09 01:52:13 - mmengine - INFO - Epoch(train) [22][100/1879] lr: 2.0000e-02 eta: 13:03:57 time: 0.8482 data_time: 0.0189 memory: 19726 grad_norm: 3.8491 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3921 loss: 1.3921 2022/08/09 01:52:30 - mmengine - INFO - Epoch(train) [22][120/1879] lr: 2.0000e-02 eta: 13:03:40 time: 0.8540 data_time: 0.0186 memory: 19726 grad_norm: 3.7478 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2265 loss: 1.2265 2022/08/09 01:52:47 - mmengine - INFO - Epoch(train) [22][140/1879] lr: 2.0000e-02 eta: 13:03:22 time: 0.8533 data_time: 0.0191 memory: 19726 grad_norm: 3.7984 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5236 loss: 1.5236 2022/08/09 01:53:04 - mmengine - INFO - Epoch(train) [22][160/1879] lr: 2.0000e-02 eta: 13:03:05 time: 0.8590 data_time: 0.0200 memory: 19726 grad_norm: 3.9981 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3316 loss: 1.3316 2022/08/09 01:53:21 - mmengine - INFO - Epoch(train) [22][180/1879] lr: 2.0000e-02 eta: 13:02:47 time: 0.8486 data_time: 0.0191 memory: 19726 grad_norm: 3.8480 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2573 loss: 1.2573 2022/08/09 01:53:38 - mmengine - INFO - Epoch(train) [22][200/1879] lr: 2.0000e-02 eta: 13:02:29 time: 0.8507 data_time: 0.0195 memory: 19726 grad_norm: 3.8573 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3836 loss: 1.3836 2022/08/09 01:53:55 - mmengine - INFO - Epoch(train) [22][220/1879] lr: 2.0000e-02 eta: 13:02:12 time: 0.8594 data_time: 0.0263 memory: 19726 grad_norm: 3.8450 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5361 loss: 1.5361 2022/08/09 01:54:12 - mmengine - INFO - Epoch(train) [22][240/1879] lr: 2.0000e-02 eta: 13:01:54 time: 0.8490 data_time: 0.0190 memory: 19726 grad_norm: 3.8404 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3442 loss: 1.3442 2022/08/09 01:54:29 - mmengine - INFO - Epoch(train) [22][260/1879] lr: 2.0000e-02 eta: 13:01:36 time: 0.8515 data_time: 0.0186 memory: 19726 grad_norm: 4.0248 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8300 loss: 1.8300 2022/08/09 01:54:46 - mmengine - INFO - Epoch(train) [22][280/1879] lr: 2.0000e-02 eta: 13:01:19 time: 0.8499 data_time: 0.0193 memory: 19726 grad_norm: 3.8611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4904 loss: 1.4904 2022/08/09 01:55:04 - mmengine - INFO - Epoch(train) [22][300/1879] lr: 2.0000e-02 eta: 13:01:01 time: 0.8604 data_time: 0.0215 memory: 19726 grad_norm: 3.8590 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4063 loss: 1.4063 2022/08/09 01:55:21 - mmengine - INFO - Epoch(train) [22][320/1879] lr: 2.0000e-02 eta: 13:00:44 time: 0.8526 data_time: 0.0197 memory: 19726 grad_norm: 3.7977 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3134 loss: 1.3134 2022/08/09 01:55:38 - mmengine - INFO - Epoch(train) [22][340/1879] lr: 2.0000e-02 eta: 13:00:26 time: 0.8536 data_time: 0.0176 memory: 19726 grad_norm: 3.9378 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4122 loss: 1.4122 2022/08/09 01:55:55 - mmengine - INFO - Epoch(train) [22][360/1879] lr: 2.0000e-02 eta: 13:00:08 time: 0.8510 data_time: 0.0193 memory: 19726 grad_norm: 3.7716 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4886 loss: 1.4886 2022/08/09 01:56:12 - mmengine - INFO - Epoch(train) [22][380/1879] lr: 2.0000e-02 eta: 12:59:50 time: 0.8460 data_time: 0.0186 memory: 19726 grad_norm: 3.7306 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5133 loss: 1.5133 2022/08/09 01:56:29 - mmengine - INFO - Epoch(train) [22][400/1879] lr: 2.0000e-02 eta: 12:59:33 time: 0.8608 data_time: 0.0189 memory: 19726 grad_norm: 3.7741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3655 loss: 1.3655 2022/08/09 01:56:46 - mmengine - INFO - Epoch(train) [22][420/1879] lr: 2.0000e-02 eta: 12:59:15 time: 0.8485 data_time: 0.0198 memory: 19726 grad_norm: 3.8751 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4182 loss: 1.4182 2022/08/09 01:57:03 - mmengine - INFO - Epoch(train) [22][440/1879] lr: 2.0000e-02 eta: 12:58:58 time: 0.8562 data_time: 0.0194 memory: 19726 grad_norm: 3.8609 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4545 loss: 1.4545 2022/08/09 01:57:20 - mmengine - INFO - Epoch(train) [22][460/1879] lr: 2.0000e-02 eta: 12:58:40 time: 0.8518 data_time: 0.0200 memory: 19726 grad_norm: 3.8137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5219 loss: 1.5219 2022/08/09 01:57:37 - mmengine - INFO - Epoch(train) [22][480/1879] lr: 2.0000e-02 eta: 12:58:23 time: 0.8587 data_time: 0.0189 memory: 19726 grad_norm: 3.9270 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4661 loss: 1.4661 2022/08/09 01:57:54 - mmengine - INFO - Epoch(train) [22][500/1879] lr: 2.0000e-02 eta: 12:58:05 time: 0.8498 data_time: 0.0196 memory: 19726 grad_norm: 3.8557 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6170 loss: 1.6170 2022/08/09 01:58:11 - mmengine - INFO - Epoch(train) [22][520/1879] lr: 2.0000e-02 eta: 12:57:47 time: 0.8490 data_time: 0.0189 memory: 19726 grad_norm: 3.9110 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5092 loss: 1.5092 2022/08/09 01:58:28 - mmengine - INFO - Epoch(train) [22][540/1879] lr: 2.0000e-02 eta: 12:57:30 time: 0.8573 data_time: 0.0198 memory: 19726 grad_norm: 3.9540 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5875 loss: 1.5875 2022/08/09 01:58:29 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 01:58:45 - mmengine - INFO - Epoch(train) [22][560/1879] lr: 2.0000e-02 eta: 12:57:12 time: 0.8528 data_time: 0.0189 memory: 19726 grad_norm: 3.8548 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2506 loss: 1.2506 2022/08/09 01:59:03 - mmengine - INFO - Epoch(train) [22][580/1879] lr: 2.0000e-02 eta: 12:56:55 time: 0.8568 data_time: 0.0189 memory: 19726 grad_norm: 3.7950 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5330 loss: 1.5330 2022/08/09 01:59:20 - mmengine - INFO - Epoch(train) [22][600/1879] lr: 2.0000e-02 eta: 12:56:37 time: 0.8525 data_time: 0.0191 memory: 19726 grad_norm: 3.9043 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1687 loss: 1.1687 2022/08/09 01:59:37 - mmengine - INFO - Epoch(train) [22][620/1879] lr: 2.0000e-02 eta: 12:56:19 time: 0.8528 data_time: 0.0204 memory: 19726 grad_norm: 3.8646 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3506 loss: 1.3506 2022/08/09 01:59:54 - mmengine - INFO - Epoch(train) [22][640/1879] lr: 2.0000e-02 eta: 12:56:02 time: 0.8481 data_time: 0.0177 memory: 19726 grad_norm: 3.8597 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5718 loss: 1.5718 2022/08/09 02:00:13 - mmengine - INFO - Epoch(train) [22][660/1879] lr: 2.0000e-02 eta: 12:55:47 time: 0.9485 data_time: 0.0246 memory: 19726 grad_norm: 3.8050 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3879 loss: 1.3879 2022/08/09 02:00:30 - mmengine - INFO - Epoch(train) [22][680/1879] lr: 2.0000e-02 eta: 12:55:29 time: 0.8652 data_time: 0.0210 memory: 19726 grad_norm: 3.8149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4796 loss: 1.4796 2022/08/09 02:00:47 - mmengine - INFO - Epoch(train) [22][700/1879] lr: 2.0000e-02 eta: 12:55:12 time: 0.8521 data_time: 0.0195 memory: 19726 grad_norm: 3.9186 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5281 loss: 1.5281 2022/08/09 02:01:04 - mmengine - INFO - Epoch(train) [22][720/1879] lr: 2.0000e-02 eta: 12:54:54 time: 0.8555 data_time: 0.0181 memory: 19726 grad_norm: 3.8530 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5776 loss: 1.5776 2022/08/09 02:01:21 - mmengine - INFO - Epoch(train) [22][740/1879] lr: 2.0000e-02 eta: 12:54:36 time: 0.8481 data_time: 0.0188 memory: 19726 grad_norm: 3.8921 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3716 loss: 1.3716 2022/08/09 02:01:38 - mmengine - INFO - Epoch(train) [22][760/1879] lr: 2.0000e-02 eta: 12:54:19 time: 0.8500 data_time: 0.0192 memory: 19726 grad_norm: 3.8939 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5260 loss: 1.5260 2022/08/09 02:01:55 - mmengine - INFO - Epoch(train) [22][780/1879] lr: 2.0000e-02 eta: 12:54:01 time: 0.8591 data_time: 0.0211 memory: 19726 grad_norm: 3.9707 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5994 loss: 1.5994 2022/08/09 02:02:12 - mmengine - INFO - Epoch(train) [22][800/1879] lr: 2.0000e-02 eta: 12:53:44 time: 0.8498 data_time: 0.0198 memory: 19726 grad_norm: 3.9075 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4493 loss: 1.4493 2022/08/09 02:02:29 - mmengine - INFO - Epoch(train) [22][820/1879] lr: 2.0000e-02 eta: 12:53:26 time: 0.8523 data_time: 0.0183 memory: 19726 grad_norm: 3.6694 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2639 loss: 1.2639 2022/08/09 02:02:46 - mmengine - INFO - Epoch(train) [22][840/1879] lr: 2.0000e-02 eta: 12:53:08 time: 0.8506 data_time: 0.0191 memory: 19726 grad_norm: 3.8668 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4491 loss: 1.4491 2022/08/09 02:03:03 - mmengine - INFO - Epoch(train) [22][860/1879] lr: 2.0000e-02 eta: 12:52:51 time: 0.8504 data_time: 0.0194 memory: 19726 grad_norm: 3.8013 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5492 loss: 1.5492 2022/08/09 02:03:21 - mmengine - INFO - Epoch(train) [22][880/1879] lr: 2.0000e-02 eta: 12:52:33 time: 0.8555 data_time: 0.0189 memory: 19726 grad_norm: 3.8259 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5550 loss: 1.5550 2022/08/09 02:03:38 - mmengine - INFO - Epoch(train) [22][900/1879] lr: 2.0000e-02 eta: 12:52:15 time: 0.8504 data_time: 0.0194 memory: 19726 grad_norm: 3.8779 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5183 loss: 1.5183 2022/08/09 02:03:55 - mmengine - INFO - Epoch(train) [22][920/1879] lr: 2.0000e-02 eta: 12:51:58 time: 0.8503 data_time: 0.0195 memory: 19726 grad_norm: 3.8724 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4413 loss: 1.4413 2022/08/09 02:04:12 - mmengine - INFO - Epoch(train) [22][940/1879] lr: 2.0000e-02 eta: 12:51:40 time: 0.8496 data_time: 0.0190 memory: 19726 grad_norm: 3.7613 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4950 loss: 1.4950 2022/08/09 02:04:29 - mmengine - INFO - Epoch(train) [22][960/1879] lr: 2.0000e-02 eta: 12:51:22 time: 0.8513 data_time: 0.0191 memory: 19726 grad_norm: 3.7079 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2512 loss: 1.2512 2022/08/09 02:04:46 - mmengine - INFO - Epoch(train) [22][980/1879] lr: 2.0000e-02 eta: 12:51:05 time: 0.8535 data_time: 0.0189 memory: 19726 grad_norm: 3.8802 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4814 loss: 1.4814 2022/08/09 02:05:03 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 2.0000e-02 eta: 12:50:47 time: 0.8480 data_time: 0.0180 memory: 19726 grad_norm: 3.8501 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5058 loss: 1.5058 2022/08/09 02:05:20 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 2.0000e-02 eta: 12:50:30 time: 0.8572 data_time: 0.0202 memory: 19726 grad_norm: 3.7185 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7268 loss: 1.7268 2022/08/09 02:05:37 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 2.0000e-02 eta: 12:50:12 time: 0.8502 data_time: 0.0186 memory: 19726 grad_norm: 3.8407 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6773 loss: 1.6773 2022/08/09 02:05:54 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 2.0000e-02 eta: 12:49:54 time: 0.8550 data_time: 0.0202 memory: 19726 grad_norm: 3.8587 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5258 loss: 1.5258 2022/08/09 02:06:11 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 2.0000e-02 eta: 12:49:37 time: 0.8500 data_time: 0.0199 memory: 19726 grad_norm: 3.7964 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3690 loss: 1.3690 2022/08/09 02:06:28 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 2.0000e-02 eta: 12:49:19 time: 0.8531 data_time: 0.0199 memory: 19726 grad_norm: 3.8135 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4261 loss: 1.4261 2022/08/09 02:06:45 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 2.0000e-02 eta: 12:49:02 time: 0.8540 data_time: 0.0190 memory: 19726 grad_norm: 3.9693 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4745 loss: 1.4745 2022/08/09 02:07:02 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 2.0000e-02 eta: 12:48:44 time: 0.8467 data_time: 0.0189 memory: 19726 grad_norm: 3.9720 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3468 loss: 1.3468 2022/08/09 02:07:19 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 2.0000e-02 eta: 12:48:26 time: 0.8550 data_time: 0.0187 memory: 19726 grad_norm: 3.9262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4314 loss: 1.4314 2022/08/09 02:07:36 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 2.0000e-02 eta: 12:48:09 time: 0.8522 data_time: 0.0204 memory: 19726 grad_norm: 3.8986 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3191 loss: 1.3191 2022/08/09 02:07:53 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 2.0000e-02 eta: 12:47:51 time: 0.8536 data_time: 0.0195 memory: 19726 grad_norm: 3.7651 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3593 loss: 1.3593 2022/08/09 02:08:10 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 2.0000e-02 eta: 12:47:33 time: 0.8495 data_time: 0.0185 memory: 19726 grad_norm: 3.7866 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3184 loss: 1.3184 2022/08/09 02:08:27 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 2.0000e-02 eta: 12:47:16 time: 0.8532 data_time: 0.0193 memory: 19726 grad_norm: 3.7472 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4223 loss: 1.4223 2022/08/09 02:08:44 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 2.0000e-02 eta: 12:46:58 time: 0.8501 data_time: 0.0185 memory: 19726 grad_norm: 3.7828 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5485 loss: 1.5485 2022/08/09 02:09:01 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 2.0000e-02 eta: 12:46:41 time: 0.8563 data_time: 0.0180 memory: 19726 grad_norm: 3.8165 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4716 loss: 1.4716 2022/08/09 02:09:19 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 2.0000e-02 eta: 12:46:23 time: 0.8582 data_time: 0.0188 memory: 19726 grad_norm: 3.9982 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4183 loss: 1.4183 2022/08/09 02:09:36 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 2.0000e-02 eta: 12:46:06 time: 0.8545 data_time: 0.0217 memory: 19726 grad_norm: 3.8827 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3681 loss: 1.3681 2022/08/09 02:09:53 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 2.0000e-02 eta: 12:45:48 time: 0.8502 data_time: 0.0194 memory: 19726 grad_norm: 3.7858 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3774 loss: 1.3774 2022/08/09 02:10:10 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 2.0000e-02 eta: 12:45:30 time: 0.8499 data_time: 0.0195 memory: 19726 grad_norm: 3.8330 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3085 loss: 1.3085 2022/08/09 02:10:27 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 2.0000e-02 eta: 12:45:14 time: 0.8832 data_time: 0.0251 memory: 19726 grad_norm: 3.9043 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4535 loss: 1.4535 2022/08/09 02:10:44 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 2.0000e-02 eta: 12:44:56 time: 0.8505 data_time: 0.0169 memory: 19726 grad_norm: 3.8439 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/08/09 02:11:01 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 2.0000e-02 eta: 12:44:38 time: 0.8478 data_time: 0.0181 memory: 19726 grad_norm: 3.8697 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5247 loss: 1.5247 2022/08/09 02:11:18 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 2.0000e-02 eta: 12:44:21 time: 0.8528 data_time: 0.0179 memory: 19726 grad_norm: 3.8808 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.3747 loss: 1.3747 2022/08/09 02:11:35 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 2.0000e-02 eta: 12:44:03 time: 0.8549 data_time: 0.0224 memory: 19726 grad_norm: 3.7562 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5016 loss: 1.5016 2022/08/09 02:11:53 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 2.0000e-02 eta: 12:43:46 time: 0.8606 data_time: 0.0280 memory: 19726 grad_norm: 3.9535 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4870 loss: 1.4870 2022/08/09 02:12:10 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 2.0000e-02 eta: 12:43:28 time: 0.8533 data_time: 0.0200 memory: 19726 grad_norm: 3.9598 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3761 loss: 1.3761 2022/08/09 02:12:27 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 2.0000e-02 eta: 12:43:11 time: 0.8575 data_time: 0.0188 memory: 19726 grad_norm: 3.8415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4542 loss: 1.4542 2022/08/09 02:12:44 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 2.0000e-02 eta: 12:42:53 time: 0.8459 data_time: 0.0183 memory: 19726 grad_norm: 3.8803 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3878 loss: 1.3878 2022/08/09 02:12:45 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 02:13:01 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 2.0000e-02 eta: 12:42:35 time: 0.8480 data_time: 0.0185 memory: 19726 grad_norm: 3.9478 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5742 loss: 1.5742 2022/08/09 02:13:18 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 2.0000e-02 eta: 12:42:18 time: 0.8536 data_time: 0.0182 memory: 19726 grad_norm: 3.8467 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5522 loss: 1.5522 2022/08/09 02:13:35 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 2.0000e-02 eta: 12:42:00 time: 0.8496 data_time: 0.0195 memory: 19726 grad_norm: 3.7998 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3907 loss: 1.3907 2022/08/09 02:13:52 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 2.0000e-02 eta: 12:41:42 time: 0.8502 data_time: 0.0194 memory: 19726 grad_norm: 3.8272 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4838 loss: 1.4838 2022/08/09 02:14:09 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 2.0000e-02 eta: 12:41:25 time: 0.8556 data_time: 0.0179 memory: 19726 grad_norm: 3.9251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3450 loss: 1.3450 2022/08/09 02:14:26 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 2.0000e-02 eta: 12:41:07 time: 0.8577 data_time: 0.0181 memory: 19726 grad_norm: 3.8975 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4373 loss: 1.4373 2022/08/09 02:14:43 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 2.0000e-02 eta: 12:40:50 time: 0.8521 data_time: 0.0191 memory: 19726 grad_norm: 3.7821 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5251 loss: 1.5251 2022/08/09 02:15:00 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 2.0000e-02 eta: 12:40:32 time: 0.8471 data_time: 0.0190 memory: 19726 grad_norm: 3.8500 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4935 loss: 1.4935 2022/08/09 02:15:18 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 2.0000e-02 eta: 12:40:15 time: 0.8881 data_time: 0.0344 memory: 19726 grad_norm: 3.8592 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3841 loss: 1.3841 2022/08/09 02:15:35 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 2.0000e-02 eta: 12:39:58 time: 0.8525 data_time: 0.0179 memory: 19726 grad_norm: 3.8237 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4070 loss: 1.4070 2022/08/09 02:15:52 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 2.0000e-02 eta: 12:39:40 time: 0.8491 data_time: 0.0180 memory: 19726 grad_norm: 3.9189 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6039 loss: 1.6039 2022/08/09 02:16:09 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 2.0000e-02 eta: 12:39:23 time: 0.8604 data_time: 0.0195 memory: 19726 grad_norm: 3.9016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4323 loss: 1.4323 2022/08/09 02:16:26 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 2.0000e-02 eta: 12:39:05 time: 0.8496 data_time: 0.0191 memory: 19726 grad_norm: 3.9002 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4669 loss: 1.4669 2022/08/09 02:16:43 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 2.0000e-02 eta: 12:38:47 time: 0.8532 data_time: 0.0194 memory: 19726 grad_norm: 3.9273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3546 loss: 1.3546 2022/08/09 02:17:00 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 2.0000e-02 eta: 12:38:30 time: 0.8475 data_time: 0.0180 memory: 19726 grad_norm: 3.7366 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5115 loss: 1.5115 2022/08/09 02:17:17 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 2.0000e-02 eta: 12:38:12 time: 0.8517 data_time: 0.0188 memory: 19726 grad_norm: 3.8770 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6202 loss: 1.6202 2022/08/09 02:17:33 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 02:17:33 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 2.0000e-02 eta: 12:38:12 time: 0.8284 data_time: 0.0176 memory: 19726 grad_norm: 3.9877 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.4230 loss: 1.4230 2022/08/09 02:17:51 - mmengine - INFO - Epoch(val) [22][20/155] eta: 0:01:58 time: 0.8794 data_time: 0.6392 memory: 2699 2022/08/09 02:18:02 - mmengine - INFO - Epoch(val) [22][40/155] eta: 0:01:04 time: 0.5611 data_time: 0.3235 memory: 2699 2022/08/09 02:18:14 - mmengine - INFO - Epoch(val) [22][60/155] eta: 0:00:55 time: 0.5882 data_time: 0.3503 memory: 2699 2022/08/09 02:18:27 - mmengine - INFO - Epoch(val) [22][80/155] eta: 0:00:49 time: 0.6564 data_time: 0.4180 memory: 2699 2022/08/09 02:18:42 - mmengine - INFO - Epoch(val) [22][100/155] eta: 0:00:41 time: 0.7502 data_time: 0.5124 memory: 2699 2022/08/09 02:18:53 - mmengine - INFO - Epoch(val) [22][120/155] eta: 0:00:20 time: 0.5821 data_time: 0.3469 memory: 2699 2022/08/09 02:19:02 - mmengine - INFO - Epoch(val) [22][140/155] eta: 0:00:06 time: 0.4208 data_time: 0.1860 memory: 2699 2022/08/09 02:19:12 - mmengine - INFO - Epoch(val) [22][155/155] acc/top1: 0.6229 acc/top5: 0.8499 acc/mean1: 0.6228 2022/08/09 02:19:34 - mmengine - INFO - Epoch(train) [23][20/1879] lr: 2.0000e-02 eta: 12:37:23 time: 1.0774 data_time: 0.2039 memory: 19726 grad_norm: 3.7199 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3676 loss: 1.3676 2022/08/09 02:19:51 - mmengine - INFO - Epoch(train) [23][40/1879] lr: 2.0000e-02 eta: 12:37:05 time: 0.8515 data_time: 0.0197 memory: 19726 grad_norm: 3.7565 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1616 loss: 1.1616 2022/08/09 02:20:08 - mmengine - INFO - Epoch(train) [23][60/1879] lr: 2.0000e-02 eta: 12:36:48 time: 0.8517 data_time: 0.0220 memory: 19726 grad_norm: 3.8149 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3060 loss: 1.3060 2022/08/09 02:20:25 - mmengine - INFO - Epoch(train) [23][80/1879] lr: 2.0000e-02 eta: 12:36:31 time: 0.8720 data_time: 0.0257 memory: 19726 grad_norm: 3.8203 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5399 loss: 1.5399 2022/08/09 02:20:42 - mmengine - INFO - Epoch(train) [23][100/1879] lr: 2.0000e-02 eta: 12:36:13 time: 0.8475 data_time: 0.0188 memory: 19726 grad_norm: 3.7083 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4364 loss: 1.4364 2022/08/09 02:20:59 - mmengine - INFO - Epoch(train) [23][120/1879] lr: 2.0000e-02 eta: 12:35:55 time: 0.8493 data_time: 0.0189 memory: 19726 grad_norm: 3.8674 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/08/09 02:21:16 - mmengine - INFO - Epoch(train) [23][140/1879] lr: 2.0000e-02 eta: 12:35:38 time: 0.8507 data_time: 0.0192 memory: 19726 grad_norm: 3.8252 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3476 loss: 1.3476 2022/08/09 02:21:33 - mmengine - INFO - Epoch(train) [23][160/1879] lr: 2.0000e-02 eta: 12:35:20 time: 0.8489 data_time: 0.0198 memory: 19726 grad_norm: 3.8948 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4186 loss: 1.4186 2022/08/09 02:21:51 - mmengine - INFO - Epoch(train) [23][180/1879] lr: 2.0000e-02 eta: 12:35:02 time: 0.8500 data_time: 0.0191 memory: 19726 grad_norm: 3.8763 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3567 loss: 1.3567 2022/08/09 02:22:08 - mmengine - INFO - Epoch(train) [23][200/1879] lr: 2.0000e-02 eta: 12:34:45 time: 0.8572 data_time: 0.0266 memory: 19726 grad_norm: 3.8119 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5569 loss: 1.5569 2022/08/09 02:22:25 - mmengine - INFO - Epoch(train) [23][220/1879] lr: 2.0000e-02 eta: 12:34:27 time: 0.8515 data_time: 0.0192 memory: 19726 grad_norm: 3.8199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3715 loss: 1.3715 2022/08/09 02:22:42 - mmengine - INFO - Epoch(train) [23][240/1879] lr: 2.0000e-02 eta: 12:34:10 time: 0.8541 data_time: 0.0197 memory: 19726 grad_norm: 3.9333 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3646 loss: 1.3646 2022/08/09 02:22:59 - mmengine - INFO - Epoch(train) [23][260/1879] lr: 2.0000e-02 eta: 12:33:52 time: 0.8580 data_time: 0.0193 memory: 19726 grad_norm: 3.8782 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5256 loss: 1.5256 2022/08/09 02:23:16 - mmengine - INFO - Epoch(train) [23][280/1879] lr: 2.0000e-02 eta: 12:33:35 time: 0.8511 data_time: 0.0191 memory: 19726 grad_norm: 3.8958 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4657 loss: 1.4657 2022/08/09 02:23:33 - mmengine - INFO - Epoch(train) [23][300/1879] lr: 2.0000e-02 eta: 12:33:17 time: 0.8593 data_time: 0.0193 memory: 19726 grad_norm: 3.8676 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4457 loss: 1.4457 2022/08/09 02:23:50 - mmengine - INFO - Epoch(train) [23][320/1879] lr: 2.0000e-02 eta: 12:33:00 time: 0.8494 data_time: 0.0189 memory: 19726 grad_norm: 3.9081 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4530 loss: 1.4530 2022/08/09 02:24:07 - mmengine - INFO - Epoch(train) [23][340/1879] lr: 2.0000e-02 eta: 12:32:42 time: 0.8515 data_time: 0.0204 memory: 19726 grad_norm: 3.9066 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5249 loss: 1.5249 2022/08/09 02:24:24 - mmengine - INFO - Epoch(train) [23][360/1879] lr: 2.0000e-02 eta: 12:32:24 time: 0.8515 data_time: 0.0194 memory: 19726 grad_norm: 3.7462 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3768 loss: 1.3768 2022/08/09 02:24:41 - mmengine - INFO - Epoch(train) [23][380/1879] lr: 2.0000e-02 eta: 12:32:07 time: 0.8493 data_time: 0.0191 memory: 19726 grad_norm: 3.9063 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5702 loss: 1.5702 2022/08/09 02:24:58 - mmengine - INFO - Epoch(train) [23][400/1879] lr: 2.0000e-02 eta: 12:31:49 time: 0.8555 data_time: 0.0194 memory: 19726 grad_norm: 3.7573 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4681 loss: 1.4681 2022/08/09 02:25:15 - mmengine - INFO - Epoch(train) [23][420/1879] lr: 2.0000e-02 eta: 12:31:32 time: 0.8578 data_time: 0.0203 memory: 19726 grad_norm: 3.7494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5090 loss: 1.5090 2022/08/09 02:25:32 - mmengine - INFO - Epoch(train) [23][440/1879] lr: 2.0000e-02 eta: 12:31:14 time: 0.8528 data_time: 0.0195 memory: 19726 grad_norm: 3.8354 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4247 loss: 1.4247 2022/08/09 02:25:49 - mmengine - INFO - Epoch(train) [23][460/1879] lr: 2.0000e-02 eta: 12:30:57 time: 0.8521 data_time: 0.0200 memory: 19726 grad_norm: 3.8474 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3604 loss: 1.3604 2022/08/09 02:26:07 - mmengine - INFO - Epoch(train) [23][480/1879] lr: 2.0000e-02 eta: 12:30:39 time: 0.8560 data_time: 0.0194 memory: 19726 grad_norm: 3.8614 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4209 loss: 1.4209 2022/08/09 02:26:24 - mmengine - INFO - Epoch(train) [23][500/1879] lr: 2.0000e-02 eta: 12:30:22 time: 0.8499 data_time: 0.0208 memory: 19726 grad_norm: 3.9441 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4177 loss: 1.4177 2022/08/09 02:26:41 - mmengine - INFO - Epoch(train) [23][520/1879] lr: 2.0000e-02 eta: 12:30:04 time: 0.8528 data_time: 0.0186 memory: 19726 grad_norm: 3.8535 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3849 loss: 1.3849 2022/08/09 02:26:58 - mmengine - INFO - Epoch(train) [23][540/1879] lr: 2.0000e-02 eta: 12:29:47 time: 0.8568 data_time: 0.0205 memory: 19726 grad_norm: 3.9090 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3613 loss: 1.3613 2022/08/09 02:27:15 - mmengine - INFO - Epoch(train) [23][560/1879] lr: 2.0000e-02 eta: 12:29:29 time: 0.8487 data_time: 0.0192 memory: 19726 grad_norm: 3.7830 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4347 loss: 1.4347 2022/08/09 02:27:32 - mmengine - INFO - Epoch(train) [23][580/1879] lr: 2.0000e-02 eta: 12:29:11 time: 0.8552 data_time: 0.0200 memory: 19726 grad_norm: 3.9068 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5312 loss: 1.5312 2022/08/09 02:27:49 - mmengine - INFO - Epoch(train) [23][600/1879] lr: 2.0000e-02 eta: 12:28:54 time: 0.8503 data_time: 0.0195 memory: 19726 grad_norm: 3.9323 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4426 loss: 1.4426 2022/08/09 02:28:06 - mmengine - INFO - Epoch(train) [23][620/1879] lr: 2.0000e-02 eta: 12:28:36 time: 0.8519 data_time: 0.0189 memory: 19726 grad_norm: 3.7815 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6108 loss: 1.6108 2022/08/09 02:28:23 - mmengine - INFO - Epoch(train) [23][640/1879] lr: 2.0000e-02 eta: 12:28:19 time: 0.8488 data_time: 0.0178 memory: 19726 grad_norm: 3.7719 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4288 loss: 1.4288 2022/08/09 02:28:40 - mmengine - INFO - Epoch(train) [23][660/1879] lr: 2.0000e-02 eta: 12:28:01 time: 0.8512 data_time: 0.0185 memory: 19726 grad_norm: 3.8784 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5080 loss: 1.5080 2022/08/09 02:28:42 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 02:28:57 - mmengine - INFO - Epoch(train) [23][680/1879] lr: 2.0000e-02 eta: 12:27:44 time: 0.8551 data_time: 0.0210 memory: 19726 grad_norm: 3.8500 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3437 loss: 1.3437 2022/08/09 02:29:14 - mmengine - INFO - Epoch(train) [23][700/1879] lr: 2.0000e-02 eta: 12:27:26 time: 0.8475 data_time: 0.0190 memory: 19726 grad_norm: 3.7878 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4691 loss: 1.4691 2022/08/09 02:29:31 - mmengine - INFO - Epoch(train) [23][720/1879] lr: 2.0000e-02 eta: 12:27:08 time: 0.8555 data_time: 0.0188 memory: 19726 grad_norm: 3.8616 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4680 loss: 1.4680 2022/08/09 02:29:48 - mmengine - INFO - Epoch(train) [23][740/1879] lr: 2.0000e-02 eta: 12:26:51 time: 0.8533 data_time: 0.0207 memory: 19726 grad_norm: 3.7881 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5138 loss: 1.5138 2022/08/09 02:30:05 - mmengine - INFO - Epoch(train) [23][760/1879] lr: 2.0000e-02 eta: 12:26:33 time: 0.8551 data_time: 0.0186 memory: 19726 grad_norm: 3.8369 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4845 loss: 1.4845 2022/08/09 02:30:23 - mmengine - INFO - Epoch(train) [23][780/1879] lr: 2.0000e-02 eta: 12:26:16 time: 0.8612 data_time: 0.0212 memory: 19726 grad_norm: 3.7211 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6265 loss: 1.6265 2022/08/09 02:30:40 - mmengine - INFO - Epoch(train) [23][800/1879] lr: 2.0000e-02 eta: 12:25:58 time: 0.8557 data_time: 0.0188 memory: 19726 grad_norm: 3.8670 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4756 loss: 1.4756 2022/08/09 02:30:57 - mmengine - INFO - Epoch(train) [23][820/1879] lr: 2.0000e-02 eta: 12:25:41 time: 0.8510 data_time: 0.0190 memory: 19726 grad_norm: 3.9024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3522 loss: 1.3522 2022/08/09 02:31:14 - mmengine - INFO - Epoch(train) [23][840/1879] lr: 2.0000e-02 eta: 12:25:23 time: 0.8528 data_time: 0.0203 memory: 19726 grad_norm: 3.7323 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5780 loss: 1.5780 2022/08/09 02:31:31 - mmengine - INFO - Epoch(train) [23][860/1879] lr: 2.0000e-02 eta: 12:25:06 time: 0.8573 data_time: 0.0199 memory: 19726 grad_norm: 3.9515 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4030 loss: 1.4030 2022/08/09 02:31:48 - mmengine - INFO - Epoch(train) [23][880/1879] lr: 2.0000e-02 eta: 12:24:48 time: 0.8539 data_time: 0.0192 memory: 19726 grad_norm: 3.7821 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4354 loss: 1.4354 2022/08/09 02:32:05 - mmengine - INFO - Epoch(train) [23][900/1879] lr: 2.0000e-02 eta: 12:24:31 time: 0.8470 data_time: 0.0184 memory: 19726 grad_norm: 3.8327 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3102 loss: 1.3102 2022/08/09 02:32:22 - mmengine - INFO - Epoch(train) [23][920/1879] lr: 2.0000e-02 eta: 12:24:13 time: 0.8483 data_time: 0.0180 memory: 19726 grad_norm: 3.7072 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5161 loss: 1.5161 2022/08/09 02:32:39 - mmengine - INFO - Epoch(train) [23][940/1879] lr: 2.0000e-02 eta: 12:23:56 time: 0.8550 data_time: 0.0205 memory: 19726 grad_norm: 3.8258 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3459 loss: 1.3459 2022/08/09 02:32:56 - mmengine - INFO - Epoch(train) [23][960/1879] lr: 2.0000e-02 eta: 12:23:38 time: 0.8498 data_time: 0.0190 memory: 19726 grad_norm: 3.8593 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6126 loss: 1.6126 2022/08/09 02:33:13 - mmengine - INFO - Epoch(train) [23][980/1879] lr: 2.0000e-02 eta: 12:23:20 time: 0.8556 data_time: 0.0189 memory: 19726 grad_norm: 3.8688 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5749 loss: 1.5749 2022/08/09 02:33:30 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 2.0000e-02 eta: 12:23:03 time: 0.8500 data_time: 0.0196 memory: 19726 grad_norm: 3.9466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3416 loss: 1.3416 2022/08/09 02:33:47 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 2.0000e-02 eta: 12:22:45 time: 0.8569 data_time: 0.0195 memory: 19726 grad_norm: 3.7877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4485 loss: 1.4485 2022/08/09 02:34:04 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 2.0000e-02 eta: 12:22:28 time: 0.8514 data_time: 0.0198 memory: 19726 grad_norm: 3.9088 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3384 loss: 1.3384 2022/08/09 02:34:21 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 2.0000e-02 eta: 12:22:10 time: 0.8491 data_time: 0.0181 memory: 19726 grad_norm: 3.9680 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5724 loss: 1.5724 2022/08/09 02:34:38 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 2.0000e-02 eta: 12:21:53 time: 0.8529 data_time: 0.0196 memory: 19726 grad_norm: 3.8196 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4144 loss: 1.4144 2022/08/09 02:34:55 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 2.0000e-02 eta: 12:21:35 time: 0.8487 data_time: 0.0201 memory: 19726 grad_norm: 3.7762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2878 loss: 1.2878 2022/08/09 02:35:13 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 2.0000e-02 eta: 12:21:18 time: 0.8892 data_time: 0.0228 memory: 19726 grad_norm: 3.7641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5515 loss: 1.5515 2022/08/09 02:35:30 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 2.0000e-02 eta: 12:21:01 time: 0.8570 data_time: 0.0192 memory: 19726 grad_norm: 3.7729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2613 loss: 1.2613 2022/08/09 02:35:47 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 2.0000e-02 eta: 12:20:43 time: 0.8581 data_time: 0.0194 memory: 19726 grad_norm: 3.9074 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6134 loss: 1.6134 2022/08/09 02:36:04 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 2.0000e-02 eta: 12:20:26 time: 0.8473 data_time: 0.0196 memory: 19726 grad_norm: 3.9257 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4271 loss: 1.4271 2022/08/09 02:36:21 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 2.0000e-02 eta: 12:20:08 time: 0.8515 data_time: 0.0194 memory: 19726 grad_norm: 3.9179 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5328 loss: 1.5328 2022/08/09 02:36:38 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 2.0000e-02 eta: 12:19:51 time: 0.8527 data_time: 0.0198 memory: 19726 grad_norm: 3.9109 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4579 loss: 1.4579 2022/08/09 02:36:55 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 2.0000e-02 eta: 12:19:33 time: 0.8492 data_time: 0.0203 memory: 19726 grad_norm: 3.8665 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5322 loss: 1.5322 2022/08/09 02:37:13 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 2.0000e-02 eta: 12:19:16 time: 0.8580 data_time: 0.0195 memory: 19726 grad_norm: 3.8407 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5172 loss: 1.5172 2022/08/09 02:37:30 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 2.0000e-02 eta: 12:18:58 time: 0.8498 data_time: 0.0197 memory: 19726 grad_norm: 3.7982 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2997 loss: 1.2997 2022/08/09 02:37:47 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 2.0000e-02 eta: 12:18:40 time: 0.8483 data_time: 0.0191 memory: 19726 grad_norm: 3.8058 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3885 loss: 1.3885 2022/08/09 02:38:04 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 2.0000e-02 eta: 12:18:23 time: 0.8707 data_time: 0.0248 memory: 19726 grad_norm: 3.9542 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3750 loss: 1.3750 2022/08/09 02:38:21 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 2.0000e-02 eta: 12:18:06 time: 0.8579 data_time: 0.0202 memory: 19726 grad_norm: 3.8494 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6772 loss: 1.6772 2022/08/09 02:38:38 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 2.0000e-02 eta: 12:17:48 time: 0.8492 data_time: 0.0197 memory: 19726 grad_norm: 3.8596 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6059 loss: 1.6059 2022/08/09 02:38:55 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 2.0000e-02 eta: 12:17:31 time: 0.8481 data_time: 0.0188 memory: 19726 grad_norm: 3.8175 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4940 loss: 1.4940 2022/08/09 02:39:12 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 2.0000e-02 eta: 12:17:13 time: 0.8545 data_time: 0.0221 memory: 19726 grad_norm: 3.8967 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3248 loss: 1.3248 2022/08/09 02:39:29 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 2.0000e-02 eta: 12:16:55 time: 0.8489 data_time: 0.0193 memory: 19726 grad_norm: 3.8743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4354 loss: 1.4354 2022/08/09 02:39:50 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 2.0000e-02 eta: 12:16:42 time: 1.0233 data_time: 0.0193 memory: 19726 grad_norm: 3.9086 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5029 loss: 1.5029 2022/08/09 02:40:07 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 2.0000e-02 eta: 12:16:24 time: 0.8517 data_time: 0.0194 memory: 19726 grad_norm: 3.9068 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4995 loss: 1.4995 2022/08/09 02:40:24 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 2.0000e-02 eta: 12:16:07 time: 0.8546 data_time: 0.0198 memory: 19726 grad_norm: 3.8548 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4485 loss: 1.4485 2022/08/09 02:40:41 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 2.0000e-02 eta: 12:15:49 time: 0.8518 data_time: 0.0191 memory: 19726 grad_norm: 3.7484 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4541 loss: 1.4541 2022/08/09 02:40:58 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 2.0000e-02 eta: 12:15:32 time: 0.8567 data_time: 0.0187 memory: 19726 grad_norm: 3.7648 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4772 loss: 1.4772 2022/08/09 02:41:15 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 2.0000e-02 eta: 12:15:14 time: 0.8476 data_time: 0.0185 memory: 19726 grad_norm: 3.7220 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5155 loss: 1.5155 2022/08/09 02:41:32 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 2.0000e-02 eta: 12:14:57 time: 0.8501 data_time: 0.0197 memory: 19726 grad_norm: 3.7948 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2105 loss: 1.2105 2022/08/09 02:41:49 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 2.0000e-02 eta: 12:14:39 time: 0.8548 data_time: 0.0253 memory: 19726 grad_norm: 3.9033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2301 loss: 1.2301 2022/08/09 02:42:06 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 2.0000e-02 eta: 12:14:22 time: 0.8480 data_time: 0.0194 memory: 19726 grad_norm: 3.8285 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4149 loss: 1.4149 2022/08/09 02:42:23 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 2.0000e-02 eta: 12:14:04 time: 0.8518 data_time: 0.0190 memory: 19726 grad_norm: 3.8936 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4544 loss: 1.4544 2022/08/09 02:42:40 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 2.0000e-02 eta: 12:13:46 time: 0.8504 data_time: 0.0203 memory: 19726 grad_norm: 3.9783 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3466 loss: 1.3466 2022/08/09 02:42:57 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 2.0000e-02 eta: 12:13:29 time: 0.8496 data_time: 0.0191 memory: 19726 grad_norm: 3.9406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4865 loss: 1.4865 2022/08/09 02:42:59 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 02:43:14 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 2.0000e-02 eta: 12:13:11 time: 0.8508 data_time: 0.0184 memory: 19726 grad_norm: 3.8285 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4737 loss: 1.4737 2022/08/09 02:43:31 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 2.0000e-02 eta: 12:12:54 time: 0.8545 data_time: 0.0201 memory: 19726 grad_norm: 3.7765 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4087 loss: 1.4087 2022/08/09 02:43:48 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 2.0000e-02 eta: 12:12:36 time: 0.8595 data_time: 0.0246 memory: 19726 grad_norm: 3.8751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5157 loss: 1.5157 2022/08/09 02:44:05 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 2.0000e-02 eta: 12:12:19 time: 0.8503 data_time: 0.0185 memory: 19726 grad_norm: 3.8396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3357 loss: 1.3357 2022/08/09 02:44:22 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 2.0000e-02 eta: 12:12:01 time: 0.8532 data_time: 0.0192 memory: 19726 grad_norm: 3.7897 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3154 loss: 1.3154 2022/08/09 02:44:40 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 2.0000e-02 eta: 12:11:44 time: 0.8504 data_time: 0.0195 memory: 19726 grad_norm: 3.8149 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3899 loss: 1.3899 2022/08/09 02:44:57 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 2.0000e-02 eta: 12:11:26 time: 0.8505 data_time: 0.0208 memory: 19726 grad_norm: 3.9668 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5980 loss: 1.5980 2022/08/09 02:45:14 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 2.0000e-02 eta: 12:11:09 time: 0.8602 data_time: 0.0196 memory: 19726 grad_norm: 3.8598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5551 loss: 1.5551 2022/08/09 02:45:31 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 2.0000e-02 eta: 12:10:51 time: 0.8555 data_time: 0.0264 memory: 19726 grad_norm: 3.8736 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4848 loss: 1.4848 2022/08/09 02:45:48 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 2.0000e-02 eta: 12:10:34 time: 0.8496 data_time: 0.0187 memory: 19726 grad_norm: 3.9184 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5132 loss: 1.5132 2022/08/09 02:46:04 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 02:46:04 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 2.0000e-02 eta: 12:10:34 time: 0.8268 data_time: 0.0175 memory: 19726 grad_norm: 3.9504 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.6366 loss: 1.6366 2022/08/09 02:46:20 - mmengine - INFO - Epoch(val) [23][20/155] eta: 0:01:48 time: 0.8043 data_time: 0.5637 memory: 2699 2022/08/09 02:46:29 - mmengine - INFO - Epoch(val) [23][40/155] eta: 0:00:53 time: 0.4640 data_time: 0.2253 memory: 2699 2022/08/09 02:46:42 - mmengine - INFO - Epoch(val) [23][60/155] eta: 0:01:02 time: 0.6566 data_time: 0.4163 memory: 2699 2022/08/09 02:46:52 - mmengine - INFO - Epoch(val) [23][80/155] eta: 0:00:36 time: 0.4904 data_time: 0.2520 memory: 2699 2022/08/09 02:47:05 - mmengine - INFO - Epoch(val) [23][100/155] eta: 0:00:34 time: 0.6317 data_time: 0.3896 memory: 2699 2022/08/09 02:47:19 - mmengine - INFO - Epoch(val) [23][120/155] eta: 0:00:24 time: 0.7078 data_time: 0.4685 memory: 2699 2022/08/09 02:47:30 - mmengine - INFO - Epoch(val) [23][140/155] eta: 0:00:08 time: 0.5830 data_time: 0.3476 memory: 2699 2022/08/09 02:47:39 - mmengine - INFO - Epoch(val) [23][155/155] acc/top1: 0.6266 acc/top5: 0.8537 acc/mean1: 0.6265 2022/08/09 02:47:39 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_19.pth is removed 2022/08/09 02:47:41 - mmengine - INFO - The best checkpoint with 0.6266 acc/top1 at 24 epoch is saved to best_acc/top1_epoch_24.pth. 2022/08/09 02:48:01 - mmengine - INFO - Epoch(train) [24][20/1879] lr: 2.0000e-02 eta: 12:09:45 time: 1.0358 data_time: 0.1904 memory: 19726 grad_norm: 3.7313 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4958 loss: 1.4958 2022/08/09 02:48:18 - mmengine - INFO - Epoch(train) [24][40/1879] lr: 2.0000e-02 eta: 12:09:27 time: 0.8426 data_time: 0.0163 memory: 19726 grad_norm: 3.9262 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5275 loss: 1.5275 2022/08/09 02:48:35 - mmengine - INFO - Epoch(train) [24][60/1879] lr: 2.0000e-02 eta: 12:09:09 time: 0.8459 data_time: 0.0186 memory: 19726 grad_norm: 3.7972 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3171 loss: 1.3171 2022/08/09 02:48:52 - mmengine - INFO - Epoch(train) [24][80/1879] lr: 2.0000e-02 eta: 12:08:52 time: 0.8497 data_time: 0.0188 memory: 19726 grad_norm: 3.7940 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1503 loss: 1.1503 2022/08/09 02:49:09 - mmengine - INFO - Epoch(train) [24][100/1879] lr: 2.0000e-02 eta: 12:08:34 time: 0.8489 data_time: 0.0191 memory: 19726 grad_norm: 3.8957 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4238 loss: 1.4238 2022/08/09 02:49:26 - mmengine - INFO - Epoch(train) [24][120/1879] lr: 2.0000e-02 eta: 12:08:17 time: 0.8556 data_time: 0.0217 memory: 19726 grad_norm: 3.8439 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4123 loss: 1.4123 2022/08/09 02:49:43 - mmengine - INFO - Epoch(train) [24][140/1879] lr: 2.0000e-02 eta: 12:07:59 time: 0.8505 data_time: 0.0191 memory: 19726 grad_norm: 3.8585 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5187 loss: 1.5187 2022/08/09 02:50:01 - mmengine - INFO - Epoch(train) [24][160/1879] lr: 2.0000e-02 eta: 12:07:42 time: 0.8567 data_time: 0.0194 memory: 19726 grad_norm: 3.7726 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2382 loss: 1.2382 2022/08/09 02:50:18 - mmengine - INFO - Epoch(train) [24][180/1879] lr: 2.0000e-02 eta: 12:07:24 time: 0.8649 data_time: 0.0253 memory: 19726 grad_norm: 3.7263 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2582 loss: 1.2582 2022/08/09 02:50:35 - mmengine - INFO - Epoch(train) [24][200/1879] lr: 2.0000e-02 eta: 12:07:07 time: 0.8652 data_time: 0.0196 memory: 19726 grad_norm: 3.9014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4613 loss: 1.4613 2022/08/09 02:50:52 - mmengine - INFO - Epoch(train) [24][220/1879] lr: 2.0000e-02 eta: 12:06:50 time: 0.8485 data_time: 0.0186 memory: 19726 grad_norm: 3.9233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2767 loss: 1.2767 2022/08/09 02:51:09 - mmengine - INFO - Epoch(train) [24][240/1879] lr: 2.0000e-02 eta: 12:06:32 time: 0.8579 data_time: 0.0190 memory: 19726 grad_norm: 3.8088 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3387 loss: 1.3387 2022/08/09 02:51:26 - mmengine - INFO - Epoch(train) [24][260/1879] lr: 2.0000e-02 eta: 12:06:15 time: 0.8505 data_time: 0.0192 memory: 19726 grad_norm: 3.8227 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1845 loss: 1.1845 2022/08/09 02:51:43 - mmengine - INFO - Epoch(train) [24][280/1879] lr: 2.0000e-02 eta: 12:05:57 time: 0.8516 data_time: 0.0189 memory: 19726 grad_norm: 3.8116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3327 loss: 1.3327 2022/08/09 02:52:00 - mmengine - INFO - Epoch(train) [24][300/1879] lr: 2.0000e-02 eta: 12:05:39 time: 0.8493 data_time: 0.0197 memory: 19726 grad_norm: 3.8264 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3785 loss: 1.3785 2022/08/09 02:52:17 - mmengine - INFO - Epoch(train) [24][320/1879] lr: 2.0000e-02 eta: 12:05:22 time: 0.8482 data_time: 0.0180 memory: 19726 grad_norm: 3.9049 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4233 loss: 1.4233 2022/08/09 02:52:34 - mmengine - INFO - Epoch(train) [24][340/1879] lr: 2.0000e-02 eta: 12:05:04 time: 0.8563 data_time: 0.0200 memory: 19726 grad_norm: 3.8049 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3987 loss: 1.3987 2022/08/09 02:52:51 - mmengine - INFO - Epoch(train) [24][360/1879] lr: 2.0000e-02 eta: 12:04:47 time: 0.8490 data_time: 0.0191 memory: 19726 grad_norm: 3.9263 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.3405 loss: 1.3405 2022/08/09 02:53:09 - mmengine - INFO - Epoch(train) [24][380/1879] lr: 2.0000e-02 eta: 12:04:29 time: 0.8552 data_time: 0.0205 memory: 19726 grad_norm: 3.8056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2975 loss: 1.2975 2022/08/09 02:53:25 - mmengine - INFO - Epoch(train) [24][400/1879] lr: 2.0000e-02 eta: 12:04:12 time: 0.8475 data_time: 0.0195 memory: 19726 grad_norm: 3.7643 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4655 loss: 1.4655 2022/08/09 02:53:43 - mmengine - INFO - Epoch(train) [24][420/1879] lr: 2.0000e-02 eta: 12:03:54 time: 0.8560 data_time: 0.0199 memory: 19726 grad_norm: 3.8857 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3455 loss: 1.3455 2022/08/09 02:54:00 - mmengine - INFO - Epoch(train) [24][440/1879] lr: 2.0000e-02 eta: 12:03:37 time: 0.8501 data_time: 0.0195 memory: 19726 grad_norm: 3.9077 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4250 loss: 1.4250 2022/08/09 02:54:17 - mmengine - INFO - Epoch(train) [24][460/1879] lr: 2.0000e-02 eta: 12:03:19 time: 0.8470 data_time: 0.0179 memory: 19726 grad_norm: 3.9526 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2158 loss: 1.2158 2022/08/09 02:54:34 - mmengine - INFO - Epoch(train) [24][480/1879] lr: 2.0000e-02 eta: 12:03:02 time: 0.8546 data_time: 0.0191 memory: 19726 grad_norm: 3.9350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4697 loss: 1.4697 2022/08/09 02:54:51 - mmengine - INFO - Epoch(train) [24][500/1879] lr: 2.0000e-02 eta: 12:02:44 time: 0.8506 data_time: 0.0206 memory: 19726 grad_norm: 3.8781 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4802 loss: 1.4802 2022/08/09 02:55:08 - mmengine - INFO - Epoch(train) [24][520/1879] lr: 2.0000e-02 eta: 12:02:27 time: 0.8530 data_time: 0.0199 memory: 19726 grad_norm: 3.8083 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3966 loss: 1.3966 2022/08/09 02:55:25 - mmengine - INFO - Epoch(train) [24][540/1879] lr: 2.0000e-02 eta: 12:02:09 time: 0.8587 data_time: 0.0212 memory: 19726 grad_norm: 3.8492 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5625 loss: 1.5625 2022/08/09 02:55:42 - mmengine - INFO - Epoch(train) [24][560/1879] lr: 2.0000e-02 eta: 12:01:52 time: 0.8539 data_time: 0.0183 memory: 19726 grad_norm: 3.8685 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4347 loss: 1.4347 2022/08/09 02:55:59 - mmengine - INFO - Epoch(train) [24][580/1879] lr: 2.0000e-02 eta: 12:01:34 time: 0.8536 data_time: 0.0257 memory: 19726 grad_norm: 3.9238 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3744 loss: 1.3744 2022/08/09 02:56:16 - mmengine - INFO - Epoch(train) [24][600/1879] lr: 2.0000e-02 eta: 12:01:17 time: 0.8506 data_time: 0.0198 memory: 19726 grad_norm: 3.7028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2907 loss: 1.2907 2022/08/09 02:56:33 - mmengine - INFO - Epoch(train) [24][620/1879] lr: 2.0000e-02 eta: 12:00:59 time: 0.8519 data_time: 0.0189 memory: 19726 grad_norm: 3.8526 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4074 loss: 1.4074 2022/08/09 02:56:50 - mmengine - INFO - Epoch(train) [24][640/1879] lr: 2.0000e-02 eta: 12:00:42 time: 0.8533 data_time: 0.0190 memory: 19726 grad_norm: 3.9942 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4536 loss: 1.4536 2022/08/09 02:57:07 - mmengine - INFO - Epoch(train) [24][660/1879] lr: 2.0000e-02 eta: 12:00:24 time: 0.8498 data_time: 0.0189 memory: 19726 grad_norm: 3.9170 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2891 loss: 1.2891 2022/08/09 02:57:24 - mmengine - INFO - Epoch(train) [24][680/1879] lr: 2.0000e-02 eta: 12:00:07 time: 0.8509 data_time: 0.0188 memory: 19726 grad_norm: 3.9007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4275 loss: 1.4275 2022/08/09 02:57:41 - mmengine - INFO - Epoch(train) [24][700/1879] lr: 2.0000e-02 eta: 11:59:49 time: 0.8542 data_time: 0.0182 memory: 19726 grad_norm: 3.9142 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2596 loss: 1.2596 2022/08/09 02:57:58 - mmengine - INFO - Epoch(train) [24][720/1879] lr: 2.0000e-02 eta: 11:59:32 time: 0.8516 data_time: 0.0191 memory: 19726 grad_norm: 3.9261 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/08/09 02:58:15 - mmengine - INFO - Epoch(train) [24][740/1879] lr: 2.0000e-02 eta: 11:59:14 time: 0.8518 data_time: 0.0178 memory: 19726 grad_norm: 3.8516 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5067 loss: 1.5067 2022/08/09 02:58:32 - mmengine - INFO - Epoch(train) [24][760/1879] lr: 2.0000e-02 eta: 11:58:57 time: 0.8518 data_time: 0.0189 memory: 19726 grad_norm: 3.8501 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4871 loss: 1.4871 2022/08/09 02:58:50 - mmengine - INFO - Epoch(train) [24][780/1879] lr: 2.0000e-02 eta: 11:58:39 time: 0.8547 data_time: 0.0191 memory: 19726 grad_norm: 3.8297 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3640 loss: 1.3640 2022/08/09 02:58:52 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 02:59:07 - mmengine - INFO - Epoch(train) [24][800/1879] lr: 2.0000e-02 eta: 11:58:22 time: 0.8503 data_time: 0.0181 memory: 19726 grad_norm: 3.9041 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4452 loss: 1.4452 2022/08/09 02:59:24 - mmengine - INFO - Epoch(train) [24][820/1879] lr: 2.0000e-02 eta: 11:58:04 time: 0.8483 data_time: 0.0185 memory: 19726 grad_norm: 3.9817 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5169 loss: 1.5169 2022/08/09 02:59:41 - mmengine - INFO - Epoch(train) [24][840/1879] lr: 2.0000e-02 eta: 11:57:46 time: 0.8533 data_time: 0.0193 memory: 19726 grad_norm: 3.8626 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4886 loss: 1.4886 2022/08/09 02:59:58 - mmengine - INFO - Epoch(train) [24][860/1879] lr: 2.0000e-02 eta: 11:57:29 time: 0.8502 data_time: 0.0186 memory: 19726 grad_norm: 3.9416 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2279 loss: 1.2279 2022/08/09 03:00:15 - mmengine - INFO - Epoch(train) [24][880/1879] lr: 2.0000e-02 eta: 11:57:12 time: 0.8640 data_time: 0.0239 memory: 19726 grad_norm: 3.8892 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3713 loss: 1.3713 2022/08/09 03:00:32 - mmengine - INFO - Epoch(train) [24][900/1879] lr: 2.0000e-02 eta: 11:56:54 time: 0.8579 data_time: 0.0200 memory: 19726 grad_norm: 3.9091 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2890 loss: 1.2890 2022/08/09 03:00:49 - mmengine - INFO - Epoch(train) [24][920/1879] lr: 2.0000e-02 eta: 11:56:37 time: 0.8533 data_time: 0.0184 memory: 19726 grad_norm: 3.9430 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4074 loss: 1.4074 2022/08/09 03:01:06 - mmengine - INFO - Epoch(train) [24][940/1879] lr: 2.0000e-02 eta: 11:56:19 time: 0.8497 data_time: 0.0184 memory: 19726 grad_norm: 3.8968 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5681 loss: 1.5681 2022/08/09 03:01:23 - mmengine - INFO - Epoch(train) [24][960/1879] lr: 2.0000e-02 eta: 11:56:02 time: 0.8539 data_time: 0.0184 memory: 19726 grad_norm: 3.9251 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4190 loss: 1.4190 2022/08/09 03:01:40 - mmengine - INFO - Epoch(train) [24][980/1879] lr: 2.0000e-02 eta: 11:55:44 time: 0.8535 data_time: 0.0185 memory: 19726 grad_norm: 4.0189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4249 loss: 1.4249 2022/08/09 03:01:57 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 2.0000e-02 eta: 11:55:27 time: 0.8497 data_time: 0.0188 memory: 19726 grad_norm: 3.8745 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5628 loss: 1.5628 2022/08/09 03:02:14 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 2.0000e-02 eta: 11:55:09 time: 0.8534 data_time: 0.0185 memory: 19726 grad_norm: 3.8903 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3284 loss: 1.3284 2022/08/09 03:02:31 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 2.0000e-02 eta: 11:54:52 time: 0.8503 data_time: 0.0181 memory: 19726 grad_norm: 3.8910 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3732 loss: 1.3732 2022/08/09 03:02:48 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 2.0000e-02 eta: 11:54:34 time: 0.8505 data_time: 0.0183 memory: 19726 grad_norm: 3.8639 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4439 loss: 1.4439 2022/08/09 03:03:05 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 2.0000e-02 eta: 11:54:17 time: 0.8509 data_time: 0.0187 memory: 19726 grad_norm: 3.9247 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3632 loss: 1.3632 2022/08/09 03:03:22 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 2.0000e-02 eta: 11:53:59 time: 0.8500 data_time: 0.0198 memory: 19726 grad_norm: 3.8476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3275 loss: 1.3275 2022/08/09 03:03:39 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 2.0000e-02 eta: 11:53:41 time: 0.8512 data_time: 0.0189 memory: 19726 grad_norm: 3.8103 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4207 loss: 1.4207 2022/08/09 03:03:56 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 2.0000e-02 eta: 11:53:24 time: 0.8493 data_time: 0.0179 memory: 19726 grad_norm: 3.8756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3743 loss: 1.3743 2022/08/09 03:04:14 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 2.0000e-02 eta: 11:53:06 time: 0.8543 data_time: 0.0199 memory: 19726 grad_norm: 3.8761 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2447 loss: 1.2447 2022/08/09 03:04:31 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 2.0000e-02 eta: 11:52:49 time: 0.8520 data_time: 0.0200 memory: 19726 grad_norm: 3.8790 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6089 loss: 1.6089 2022/08/09 03:04:48 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 2.0000e-02 eta: 11:52:31 time: 0.8542 data_time: 0.0244 memory: 19726 grad_norm: 3.9668 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4072 loss: 1.4072 2022/08/09 03:05:05 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 2.0000e-02 eta: 11:52:14 time: 0.8527 data_time: 0.0197 memory: 19726 grad_norm: 3.8717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4801 loss: 1.4801 2022/08/09 03:05:22 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 2.0000e-02 eta: 11:51:57 time: 0.8549 data_time: 0.0207 memory: 19726 grad_norm: 3.8458 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5311 loss: 1.5311 2022/08/09 03:05:39 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 2.0000e-02 eta: 11:51:39 time: 0.8548 data_time: 0.0185 memory: 19726 grad_norm: 4.0388 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4703 loss: 1.4703 2022/08/09 03:05:56 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 2.0000e-02 eta: 11:51:22 time: 0.8508 data_time: 0.0193 memory: 19726 grad_norm: 3.9170 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4410 loss: 1.4410 2022/08/09 03:06:13 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 2.0000e-02 eta: 11:51:04 time: 0.8564 data_time: 0.0202 memory: 19726 grad_norm: 3.8342 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5656 loss: 1.5656 2022/08/09 03:06:30 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 2.0000e-02 eta: 11:50:47 time: 0.8487 data_time: 0.0198 memory: 19726 grad_norm: 3.8948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4510 loss: 1.4510 2022/08/09 03:06:47 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 2.0000e-02 eta: 11:50:29 time: 0.8485 data_time: 0.0193 memory: 19726 grad_norm: 3.8268 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3031 loss: 1.3031 2022/08/09 03:07:04 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 2.0000e-02 eta: 11:50:12 time: 0.8550 data_time: 0.0198 memory: 19726 grad_norm: 3.9683 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3546 loss: 1.3546 2022/08/09 03:07:21 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 2.0000e-02 eta: 11:49:54 time: 0.8533 data_time: 0.0185 memory: 19726 grad_norm: 3.8921 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3671 loss: 1.3671 2022/08/09 03:07:38 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 2.0000e-02 eta: 11:49:36 time: 0.8488 data_time: 0.0181 memory: 19726 grad_norm: 3.8697 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3557 loss: 1.3557 2022/08/09 03:07:55 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 2.0000e-02 eta: 11:49:19 time: 0.8617 data_time: 0.0189 memory: 19726 grad_norm: 3.8281 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6282 loss: 1.6282 2022/08/09 03:08:13 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 2.0000e-02 eta: 11:49:02 time: 0.8529 data_time: 0.0195 memory: 19726 grad_norm: 3.8462 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6677 loss: 1.6677 2022/08/09 03:08:30 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 2.0000e-02 eta: 11:48:44 time: 0.8489 data_time: 0.0195 memory: 19726 grad_norm: 3.8309 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4866 loss: 1.4866 2022/08/09 03:08:47 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 2.0000e-02 eta: 11:48:27 time: 0.8552 data_time: 0.0187 memory: 19726 grad_norm: 3.7837 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5541 loss: 1.5541 2022/08/09 03:09:04 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 2.0000e-02 eta: 11:48:09 time: 0.8499 data_time: 0.0193 memory: 19726 grad_norm: 3.8869 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3253 loss: 1.3253 2022/08/09 03:09:21 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 2.0000e-02 eta: 11:47:52 time: 0.8541 data_time: 0.0198 memory: 19726 grad_norm: 3.8775 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4995 loss: 1.4995 2022/08/09 03:09:38 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 2.0000e-02 eta: 11:47:34 time: 0.8506 data_time: 0.0191 memory: 19726 grad_norm: 3.9225 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5032 loss: 1.5032 2022/08/09 03:09:55 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 2.0000e-02 eta: 11:47:17 time: 0.8531 data_time: 0.0193 memory: 19726 grad_norm: 3.8174 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5405 loss: 1.5405 2022/08/09 03:10:12 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 2.0000e-02 eta: 11:46:59 time: 0.8577 data_time: 0.0214 memory: 19726 grad_norm: 3.8774 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4886 loss: 1.4886 2022/08/09 03:10:29 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 2.0000e-02 eta: 11:46:42 time: 0.8602 data_time: 0.0201 memory: 19726 grad_norm: 3.8971 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5943 loss: 1.5943 2022/08/09 03:10:46 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 2.0000e-02 eta: 11:46:25 time: 0.8545 data_time: 0.0186 memory: 19726 grad_norm: 3.7913 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2924 loss: 1.2924 2022/08/09 03:11:03 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 2.0000e-02 eta: 11:46:07 time: 0.8507 data_time: 0.0197 memory: 19726 grad_norm: 3.9290 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5918 loss: 1.5918 2022/08/09 03:11:20 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 2.0000e-02 eta: 11:45:49 time: 0.8492 data_time: 0.0191 memory: 19726 grad_norm: 3.9550 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5282 loss: 1.5282 2022/08/09 03:11:37 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 2.0000e-02 eta: 11:45:32 time: 0.8481 data_time: 0.0195 memory: 19726 grad_norm: 3.9380 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4116 loss: 1.4116 2022/08/09 03:11:54 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 2.0000e-02 eta: 11:45:14 time: 0.8518 data_time: 0.0189 memory: 19726 grad_norm: 4.0494 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4693 loss: 1.4693 2022/08/09 03:12:11 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 2.0000e-02 eta: 11:44:57 time: 0.8521 data_time: 0.0191 memory: 19726 grad_norm: 3.8535 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4140 loss: 1.4140 2022/08/09 03:12:28 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 2.0000e-02 eta: 11:44:39 time: 0.8490 data_time: 0.0188 memory: 19726 grad_norm: 4.0219 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3191 loss: 1.3191 2022/08/09 03:12:45 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 2.0000e-02 eta: 11:44:22 time: 0.8501 data_time: 0.0187 memory: 19726 grad_norm: 3.9051 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3536 loss: 1.3536 2022/08/09 03:13:02 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 2.0000e-02 eta: 11:44:04 time: 0.8485 data_time: 0.0189 memory: 19726 grad_norm: 3.8803 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5220 loss: 1.5220 2022/08/09 03:13:05 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 03:13:19 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 2.0000e-02 eta: 11:43:47 time: 0.8491 data_time: 0.0185 memory: 19726 grad_norm: 3.9344 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4626 loss: 1.4626 2022/08/09 03:13:36 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 2.0000e-02 eta: 11:43:29 time: 0.8527 data_time: 0.0193 memory: 19726 grad_norm: 3.8260 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3518 loss: 1.3518 2022/08/09 03:13:53 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 2.0000e-02 eta: 11:43:12 time: 0.8506 data_time: 0.0191 memory: 19726 grad_norm: 3.9337 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4257 loss: 1.4257 2022/08/09 03:14:10 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 2.0000e-02 eta: 11:42:54 time: 0.8495 data_time: 0.0188 memory: 19726 grad_norm: 3.8808 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5184 loss: 1.5184 2022/08/09 03:14:26 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 03:14:26 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 2.0000e-02 eta: 11:42:54 time: 0.8243 data_time: 0.0173 memory: 19726 grad_norm: 3.9376 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4262 loss: 1.4262 2022/08/09 03:14:26 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/09 03:14:42 - mmengine - INFO - Epoch(val) [24][20/155] eta: 0:01:32 time: 0.6835 data_time: 0.4436 memory: 2699 2022/08/09 03:14:56 - mmengine - INFO - Epoch(val) [24][40/155] eta: 0:01:20 time: 0.6972 data_time: 0.4587 memory: 2699 2022/08/09 03:15:04 - mmengine - INFO - Epoch(val) [24][60/155] eta: 0:00:38 time: 0.4094 data_time: 0.1704 memory: 2699 2022/08/09 03:15:20 - mmengine - INFO - Epoch(val) [24][80/155] eta: 0:01:00 time: 0.8040 data_time: 0.5650 memory: 2699 2022/08/09 03:15:35 - mmengine - INFO - Epoch(val) [24][100/155] eta: 0:00:39 time: 0.7270 data_time: 0.4833 memory: 2699 2022/08/09 03:15:49 - mmengine - INFO - Epoch(val) [24][120/155] eta: 0:00:24 time: 0.6961 data_time: 0.4588 memory: 2699 2022/08/09 03:15:56 - mmengine - INFO - Epoch(val) [24][140/155] eta: 0:00:05 time: 0.3549 data_time: 0.1207 memory: 2699 2022/08/09 03:16:03 - mmengine - INFO - Epoch(val) [24][155/155] acc/top1: 0.6325 acc/top5: 0.8576 acc/mean1: 0.6323 2022/08/09 03:16:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_24.pth is removed 2022/08/09 03:16:04 - mmengine - INFO - The best checkpoint with 0.6325 acc/top1 at 25 epoch is saved to best_acc/top1_epoch_25.pth. 2022/08/09 03:16:26 - mmengine - INFO - Epoch(train) [25][20/1879] lr: 2.0000e-02 eta: 11:42:07 time: 1.0796 data_time: 0.2346 memory: 19726 grad_norm: 3.8760 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4679 loss: 1.4679 2022/08/09 03:16:43 - mmengine - INFO - Epoch(train) [25][40/1879] lr: 2.0000e-02 eta: 11:41:50 time: 0.8502 data_time: 0.0191 memory: 19726 grad_norm: 4.0135 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5139 loss: 1.5139 2022/08/09 03:17:00 - mmengine - INFO - Epoch(train) [25][60/1879] lr: 2.0000e-02 eta: 11:41:32 time: 0.8436 data_time: 0.0182 memory: 19726 grad_norm: 3.8438 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4585 loss: 1.4585 2022/08/09 03:17:17 - mmengine - INFO - Epoch(train) [25][80/1879] lr: 2.0000e-02 eta: 11:41:15 time: 0.8625 data_time: 0.0168 memory: 19726 grad_norm: 3.8870 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2551 loss: 1.2551 2022/08/09 03:17:34 - mmengine - INFO - Epoch(train) [25][100/1879] lr: 2.0000e-02 eta: 11:40:57 time: 0.8530 data_time: 0.0206 memory: 19726 grad_norm: 3.8367 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4556 loss: 1.4556 2022/08/09 03:17:51 - mmengine - INFO - Epoch(train) [25][120/1879] lr: 2.0000e-02 eta: 11:40:40 time: 0.8505 data_time: 0.0191 memory: 19726 grad_norm: 3.9323 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4644 loss: 1.4644 2022/08/09 03:18:08 - mmengine - INFO - Epoch(train) [25][140/1879] lr: 2.0000e-02 eta: 11:40:22 time: 0.8507 data_time: 0.0181 memory: 19726 grad_norm: 3.7566 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1784 loss: 1.1784 2022/08/09 03:18:25 - mmengine - INFO - Epoch(train) [25][160/1879] lr: 2.0000e-02 eta: 11:40:05 time: 0.8508 data_time: 0.0195 memory: 19726 grad_norm: 3.8754 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3845 loss: 1.3845 2022/08/09 03:18:42 - mmengine - INFO - Epoch(train) [25][180/1879] lr: 2.0000e-02 eta: 11:39:47 time: 0.8556 data_time: 0.0204 memory: 19726 grad_norm: 3.8443 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2346 loss: 1.2346 2022/08/09 03:18:59 - mmengine - INFO - Epoch(train) [25][200/1879] lr: 2.0000e-02 eta: 11:39:30 time: 0.8478 data_time: 0.0182 memory: 19726 grad_norm: 3.8446 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3459 loss: 1.3459 2022/08/09 03:19:16 - mmengine - INFO - Epoch(train) [25][220/1879] lr: 2.0000e-02 eta: 11:39:12 time: 0.8514 data_time: 0.0186 memory: 19726 grad_norm: 3.9775 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4408 loss: 1.4408 2022/08/09 03:19:34 - mmengine - INFO - Epoch(train) [25][240/1879] lr: 2.0000e-02 eta: 11:38:55 time: 0.8581 data_time: 0.0188 memory: 19726 grad_norm: 3.9391 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4855 loss: 1.4855 2022/08/09 03:19:51 - mmengine - INFO - Epoch(train) [25][260/1879] lr: 2.0000e-02 eta: 11:38:38 time: 0.8531 data_time: 0.0202 memory: 19726 grad_norm: 3.7868 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3049 loss: 1.3049 2022/08/09 03:20:08 - mmengine - INFO - Epoch(train) [25][280/1879] lr: 2.0000e-02 eta: 11:38:20 time: 0.8546 data_time: 0.0195 memory: 19726 grad_norm: 3.9832 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4151 loss: 1.4151 2022/08/09 03:20:25 - mmengine - INFO - Epoch(train) [25][300/1879] lr: 2.0000e-02 eta: 11:38:03 time: 0.8698 data_time: 0.0335 memory: 19726 grad_norm: 3.9254 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4645 loss: 1.4645 2022/08/09 03:20:42 - mmengine - INFO - Epoch(train) [25][320/1879] lr: 2.0000e-02 eta: 11:37:46 time: 0.8530 data_time: 0.0193 memory: 19726 grad_norm: 3.8154 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5632 loss: 1.5632 2022/08/09 03:20:59 - mmengine - INFO - Epoch(train) [25][340/1879] lr: 2.0000e-02 eta: 11:37:28 time: 0.8471 data_time: 0.0189 memory: 19726 grad_norm: 3.9547 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4340 loss: 1.4340 2022/08/09 03:21:16 - mmengine - INFO - Epoch(train) [25][360/1879] lr: 2.0000e-02 eta: 11:37:11 time: 0.8542 data_time: 0.0190 memory: 19726 grad_norm: 3.9593 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2316 loss: 1.2316 2022/08/09 03:21:33 - mmengine - INFO - Epoch(train) [25][380/1879] lr: 2.0000e-02 eta: 11:36:53 time: 0.8486 data_time: 0.0192 memory: 19726 grad_norm: 3.7870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2125 loss: 1.2125 2022/08/09 03:21:50 - mmengine - INFO - Epoch(train) [25][400/1879] lr: 2.0000e-02 eta: 11:36:35 time: 0.8471 data_time: 0.0179 memory: 19726 grad_norm: 3.7470 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2347 loss: 1.2347 2022/08/09 03:22:07 - mmengine - INFO - Epoch(train) [25][420/1879] lr: 2.0000e-02 eta: 11:36:18 time: 0.8516 data_time: 0.0188 memory: 19726 grad_norm: 3.9612 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/08/09 03:22:24 - mmengine - INFO - Epoch(train) [25][440/1879] lr: 2.0000e-02 eta: 11:36:00 time: 0.8485 data_time: 0.0192 memory: 19726 grad_norm: 3.9463 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5667 loss: 1.5667 2022/08/09 03:22:41 - mmengine - INFO - Epoch(train) [25][460/1879] lr: 2.0000e-02 eta: 11:35:43 time: 0.8503 data_time: 0.0203 memory: 19726 grad_norm: 3.7832 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/08/09 03:22:58 - mmengine - INFO - Epoch(train) [25][480/1879] lr: 2.0000e-02 eta: 11:35:25 time: 0.8506 data_time: 0.0179 memory: 19726 grad_norm: 3.8573 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6199 loss: 1.6199 2022/08/09 03:23:15 - mmengine - INFO - Epoch(train) [25][500/1879] lr: 2.0000e-02 eta: 11:35:08 time: 0.8469 data_time: 0.0191 memory: 19726 grad_norm: 3.8539 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3807 loss: 1.3807 2022/08/09 03:23:32 - mmengine - INFO - Epoch(train) [25][520/1879] lr: 2.0000e-02 eta: 11:34:51 time: 0.8587 data_time: 0.0187 memory: 19726 grad_norm: 3.8435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4805 loss: 1.4805 2022/08/09 03:23:49 - mmengine - INFO - Epoch(train) [25][540/1879] lr: 2.0000e-02 eta: 11:34:33 time: 0.8489 data_time: 0.0189 memory: 19726 grad_norm: 3.8518 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3411 loss: 1.3411 2022/08/09 03:24:06 - mmengine - INFO - Epoch(train) [25][560/1879] lr: 2.0000e-02 eta: 11:34:16 time: 0.8553 data_time: 0.0185 memory: 19726 grad_norm: 3.9050 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4583 loss: 1.4583 2022/08/09 03:24:23 - mmengine - INFO - Epoch(train) [25][580/1879] lr: 2.0000e-02 eta: 11:33:58 time: 0.8544 data_time: 0.0201 memory: 19726 grad_norm: 3.8437 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4389 loss: 1.4389 2022/08/09 03:24:41 - mmengine - INFO - Epoch(train) [25][600/1879] lr: 2.0000e-02 eta: 11:33:41 time: 0.8562 data_time: 0.0204 memory: 19726 grad_norm: 3.8945 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4120 loss: 1.4120 2022/08/09 03:24:58 - mmengine - INFO - Epoch(train) [25][620/1879] lr: 2.0000e-02 eta: 11:33:23 time: 0.8491 data_time: 0.0186 memory: 19726 grad_norm: 3.9502 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5250 loss: 1.5250 2022/08/09 03:25:15 - mmengine - INFO - Epoch(train) [25][640/1879] lr: 2.0000e-02 eta: 11:33:06 time: 0.8605 data_time: 0.0225 memory: 19726 grad_norm: 3.8930 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3887 loss: 1.3887 2022/08/09 03:25:32 - mmengine - INFO - Epoch(train) [25][660/1879] lr: 2.0000e-02 eta: 11:32:48 time: 0.8524 data_time: 0.0193 memory: 19726 grad_norm: 3.8346 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3842 loss: 1.3842 2022/08/09 03:25:49 - mmengine - INFO - Epoch(train) [25][680/1879] lr: 2.0000e-02 eta: 11:32:31 time: 0.8520 data_time: 0.0189 memory: 19726 grad_norm: 4.0053 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3734 loss: 1.3734 2022/08/09 03:26:06 - mmengine - INFO - Epoch(train) [25][700/1879] lr: 2.0000e-02 eta: 11:32:14 time: 0.8514 data_time: 0.0189 memory: 19726 grad_norm: 3.9331 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5888 loss: 1.5888 2022/08/09 03:26:23 - mmengine - INFO - Epoch(train) [25][720/1879] lr: 2.0000e-02 eta: 11:31:56 time: 0.8550 data_time: 0.0192 memory: 19726 grad_norm: 3.8207 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5436 loss: 1.5436 2022/08/09 03:26:40 - mmengine - INFO - Epoch(train) [25][740/1879] lr: 2.0000e-02 eta: 11:31:39 time: 0.8491 data_time: 0.0172 memory: 19726 grad_norm: 3.9593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/08/09 03:26:57 - mmengine - INFO - Epoch(train) [25][760/1879] lr: 2.0000e-02 eta: 11:31:21 time: 0.8510 data_time: 0.0189 memory: 19726 grad_norm: 4.0100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4008 loss: 1.4008 2022/08/09 03:27:14 - mmengine - INFO - Epoch(train) [25][780/1879] lr: 2.0000e-02 eta: 11:31:04 time: 0.8513 data_time: 0.0179 memory: 19726 grad_norm: 3.9059 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3586 loss: 1.3586 2022/08/09 03:27:31 - mmengine - INFO - Epoch(train) [25][800/1879] lr: 2.0000e-02 eta: 11:30:46 time: 0.8516 data_time: 0.0180 memory: 19726 grad_norm: 3.9334 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3566 loss: 1.3566 2022/08/09 03:27:48 - mmengine - INFO - Epoch(train) [25][820/1879] lr: 2.0000e-02 eta: 11:30:29 time: 0.8559 data_time: 0.0187 memory: 19726 grad_norm: 3.9384 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3768 loss: 1.3768 2022/08/09 03:28:05 - mmengine - INFO - Epoch(train) [25][840/1879] lr: 2.0000e-02 eta: 11:30:11 time: 0.8519 data_time: 0.0192 memory: 19726 grad_norm: 3.8259 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4813 loss: 1.4813 2022/08/09 03:28:22 - mmengine - INFO - Epoch(train) [25][860/1879] lr: 2.0000e-02 eta: 11:29:54 time: 0.8551 data_time: 0.0180 memory: 19726 grad_norm: 3.8746 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3963 loss: 1.3963 2022/08/09 03:28:39 - mmengine - INFO - Epoch(train) [25][880/1879] lr: 2.0000e-02 eta: 11:29:36 time: 0.8499 data_time: 0.0181 memory: 19726 grad_norm: 3.8432 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4520 loss: 1.4520 2022/08/09 03:28:56 - mmengine - INFO - Epoch(train) [25][900/1879] lr: 2.0000e-02 eta: 11:29:19 time: 0.8514 data_time: 0.0187 memory: 19726 grad_norm: 3.8436 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4704 loss: 1.4704 2022/08/09 03:29:00 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 03:29:14 - mmengine - INFO - Epoch(train) [25][920/1879] lr: 2.0000e-02 eta: 11:29:01 time: 0.8541 data_time: 0.0208 memory: 19726 grad_norm: 3.8784 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4925 loss: 1.4925 2022/08/09 03:29:30 - mmengine - INFO - Epoch(train) [25][940/1879] lr: 2.0000e-02 eta: 11:28:44 time: 0.8478 data_time: 0.0182 memory: 19726 grad_norm: 3.7350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3435 loss: 1.3435 2022/08/09 03:29:48 - mmengine - INFO - Epoch(train) [25][960/1879] lr: 2.0000e-02 eta: 11:28:26 time: 0.8512 data_time: 0.0192 memory: 19726 grad_norm: 3.8497 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5357 loss: 1.5357 2022/08/09 03:30:05 - mmengine - INFO - Epoch(train) [25][980/1879] lr: 2.0000e-02 eta: 11:28:09 time: 0.8609 data_time: 0.0285 memory: 19726 grad_norm: 3.8924 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3439 loss: 1.3439 2022/08/09 03:30:22 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 2.0000e-02 eta: 11:27:52 time: 0.8521 data_time: 0.0197 memory: 19726 grad_norm: 3.9722 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3905 loss: 1.3905 2022/08/09 03:30:39 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 2.0000e-02 eta: 11:27:34 time: 0.8513 data_time: 0.0196 memory: 19726 grad_norm: 3.8274 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4825 loss: 1.4825 2022/08/09 03:30:56 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 2.0000e-02 eta: 11:27:17 time: 0.8499 data_time: 0.0187 memory: 19726 grad_norm: 3.8745 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5360 loss: 1.5360 2022/08/09 03:31:13 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 2.0000e-02 eta: 11:26:59 time: 0.8569 data_time: 0.0195 memory: 19726 grad_norm: 3.9145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7874 loss: 1.7874 2022/08/09 03:31:30 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 2.0000e-02 eta: 11:26:42 time: 0.8501 data_time: 0.0192 memory: 19726 grad_norm: 3.8012 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5111 loss: 1.5111 2022/08/09 03:31:47 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 2.0000e-02 eta: 11:26:24 time: 0.8534 data_time: 0.0180 memory: 19726 grad_norm: 3.8388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1764 loss: 1.1764 2022/08/09 03:32:04 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 2.0000e-02 eta: 11:26:07 time: 0.8535 data_time: 0.0191 memory: 19726 grad_norm: 3.8203 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5010 loss: 1.5010 2022/08/09 03:32:21 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 2.0000e-02 eta: 11:25:49 time: 0.8505 data_time: 0.0183 memory: 19726 grad_norm: 3.9142 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4805 loss: 1.4805 2022/08/09 03:32:38 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 2.0000e-02 eta: 11:25:32 time: 0.8529 data_time: 0.0199 memory: 19726 grad_norm: 3.7580 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/08/09 03:32:55 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 2.0000e-02 eta: 11:25:14 time: 0.8496 data_time: 0.0201 memory: 19726 grad_norm: 3.8121 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3351 loss: 1.3351 2022/08/09 03:33:12 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 2.0000e-02 eta: 11:24:57 time: 0.8522 data_time: 0.0190 memory: 19726 grad_norm: 3.7652 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3353 loss: 1.3353 2022/08/09 03:33:29 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 2.0000e-02 eta: 11:24:40 time: 0.8500 data_time: 0.0197 memory: 19726 grad_norm: 3.8503 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3841 loss: 1.3841 2022/08/09 03:33:46 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 2.0000e-02 eta: 11:24:22 time: 0.8590 data_time: 0.0188 memory: 19726 grad_norm: 3.8554 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4947 loss: 1.4947 2022/08/09 03:34:03 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 2.0000e-02 eta: 11:24:05 time: 0.8497 data_time: 0.0191 memory: 19726 grad_norm: 3.8662 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3461 loss: 1.3461 2022/08/09 03:34:20 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 2.0000e-02 eta: 11:23:47 time: 0.8495 data_time: 0.0192 memory: 19726 grad_norm: 3.7949 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2642 loss: 1.2642 2022/08/09 03:34:37 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 2.0000e-02 eta: 11:23:30 time: 0.8483 data_time: 0.0193 memory: 19726 grad_norm: 3.8843 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5805 loss: 1.5805 2022/08/09 03:34:54 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 2.0000e-02 eta: 11:23:12 time: 0.8493 data_time: 0.0193 memory: 19726 grad_norm: 3.8406 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2948 loss: 1.2948 2022/08/09 03:35:12 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 2.0000e-02 eta: 11:22:55 time: 0.8585 data_time: 0.0202 memory: 19726 grad_norm: 3.9179 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3239 loss: 1.3239 2022/08/09 03:35:29 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 2.0000e-02 eta: 11:22:37 time: 0.8552 data_time: 0.0204 memory: 19726 grad_norm: 3.9441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5674 loss: 1.5674 2022/08/09 03:35:46 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 2.0000e-02 eta: 11:22:20 time: 0.8535 data_time: 0.0198 memory: 19726 grad_norm: 3.8985 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5415 loss: 1.5415 2022/08/09 03:36:03 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 2.0000e-02 eta: 11:22:02 time: 0.8484 data_time: 0.0190 memory: 19726 grad_norm: 3.9298 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3548 loss: 1.3548 2022/08/09 03:36:20 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 2.0000e-02 eta: 11:21:45 time: 0.8456 data_time: 0.0183 memory: 19726 grad_norm: 3.8762 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3997 loss: 1.3997 2022/08/09 03:36:37 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 2.0000e-02 eta: 11:21:27 time: 0.8536 data_time: 0.0203 memory: 19726 grad_norm: 3.9682 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4435 loss: 1.4435 2022/08/09 03:36:54 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 2.0000e-02 eta: 11:21:10 time: 0.8498 data_time: 0.0199 memory: 19726 grad_norm: 3.8637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4411 loss: 1.4411 2022/08/09 03:37:11 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 2.0000e-02 eta: 11:20:52 time: 0.8519 data_time: 0.0196 memory: 19726 grad_norm: 3.8853 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3139 loss: 1.3139 2022/08/09 03:37:28 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 2.0000e-02 eta: 11:20:35 time: 0.8504 data_time: 0.0180 memory: 19726 grad_norm: 3.8034 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4820 loss: 1.4820 2022/08/09 03:37:45 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 2.0000e-02 eta: 11:20:17 time: 0.8489 data_time: 0.0197 memory: 19726 grad_norm: 3.8317 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4454 loss: 1.4454 2022/08/09 03:38:02 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 2.0000e-02 eta: 11:20:00 time: 0.8466 data_time: 0.0180 memory: 19726 grad_norm: 3.8983 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3525 loss: 1.3525 2022/08/09 03:38:19 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 2.0000e-02 eta: 11:19:42 time: 0.8512 data_time: 0.0190 memory: 19726 grad_norm: 3.8784 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6112 loss: 1.6112 2022/08/09 03:38:36 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 2.0000e-02 eta: 11:19:25 time: 0.8496 data_time: 0.0192 memory: 19726 grad_norm: 3.9234 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4920 loss: 1.4920 2022/08/09 03:38:53 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 2.0000e-02 eta: 11:19:08 time: 0.8575 data_time: 0.0238 memory: 19726 grad_norm: 3.9850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5274 loss: 1.5274 2022/08/09 03:39:10 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 2.0000e-02 eta: 11:18:50 time: 0.8492 data_time: 0.0211 memory: 19726 grad_norm: 3.8824 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5471 loss: 1.5471 2022/08/09 03:39:27 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 2.0000e-02 eta: 11:18:33 time: 0.8528 data_time: 0.0182 memory: 19726 grad_norm: 3.7991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3750 loss: 1.3750 2022/08/09 03:39:44 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 2.0000e-02 eta: 11:18:15 time: 0.8519 data_time: 0.0186 memory: 19726 grad_norm: 3.8364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5227 loss: 1.5227 2022/08/09 03:40:01 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 2.0000e-02 eta: 11:17:58 time: 0.8455 data_time: 0.0187 memory: 19726 grad_norm: 3.8571 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5941 loss: 1.5941 2022/08/09 03:40:19 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 2.0000e-02 eta: 11:17:41 time: 0.8899 data_time: 0.0230 memory: 19726 grad_norm: 4.0548 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3748 loss: 1.3748 2022/08/09 03:40:36 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 2.0000e-02 eta: 11:17:23 time: 0.8538 data_time: 0.0198 memory: 19726 grad_norm: 3.9188 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5206 loss: 1.5206 2022/08/09 03:40:53 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 2.0000e-02 eta: 11:17:06 time: 0.8567 data_time: 0.0196 memory: 19726 grad_norm: 3.8906 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5171 loss: 1.5171 2022/08/09 03:41:10 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 2.0000e-02 eta: 11:16:49 time: 0.8521 data_time: 0.0186 memory: 19726 grad_norm: 3.8751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5745 loss: 1.5745 2022/08/09 03:41:27 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 2.0000e-02 eta: 11:16:31 time: 0.8560 data_time: 0.0187 memory: 19726 grad_norm: 3.7916 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.2656 loss: 1.2656 2022/08/09 03:41:44 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 2.0000e-02 eta: 11:16:14 time: 0.8496 data_time: 0.0187 memory: 19726 grad_norm: 3.9350 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4486 loss: 1.4486 2022/08/09 03:42:01 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 2.0000e-02 eta: 11:15:56 time: 0.8465 data_time: 0.0185 memory: 19726 grad_norm: 3.8753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3247 loss: 1.3247 2022/08/09 03:42:18 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 2.0000e-02 eta: 11:15:39 time: 0.8535 data_time: 0.0182 memory: 19726 grad_norm: 3.8730 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2893 loss: 1.2893 2022/08/09 03:42:35 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 2.0000e-02 eta: 11:15:21 time: 0.8480 data_time: 0.0193 memory: 19726 grad_norm: 3.8718 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5917 loss: 1.5917 2022/08/09 03:42:51 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 03:42:51 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 2.0000e-02 eta: 11:15:21 time: 0.8242 data_time: 0.0186 memory: 19726 grad_norm: 4.0395 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4681 loss: 1.4681 2022/08/09 03:43:05 - mmengine - INFO - Epoch(val) [25][20/155] eta: 0:01:32 time: 0.6868 data_time: 0.4463 memory: 2699 2022/08/09 03:43:17 - mmengine - INFO - Epoch(val) [25][40/155] eta: 0:01:10 time: 0.6147 data_time: 0.3750 memory: 2699 2022/08/09 03:43:28 - mmengine - INFO - Epoch(val) [25][60/155] eta: 0:00:51 time: 0.5428 data_time: 0.3041 memory: 2699 2022/08/09 03:43:41 - mmengine - INFO - Epoch(val) [25][80/155] eta: 0:00:51 time: 0.6844 data_time: 0.4451 memory: 2699 2022/08/09 03:43:51 - mmengine - INFO - Epoch(val) [25][100/155] eta: 0:00:26 time: 0.4801 data_time: 0.2418 memory: 2699 2022/08/09 03:44:04 - mmengine - INFO - Epoch(val) [25][120/155] eta: 0:00:22 time: 0.6487 data_time: 0.4110 memory: 2699 2022/08/09 03:44:14 - mmengine - INFO - Epoch(val) [25][140/155] eta: 0:00:07 time: 0.5055 data_time: 0.2686 memory: 2699 2022/08/09 03:44:23 - mmengine - INFO - Epoch(val) [25][155/155] acc/top1: 0.6290 acc/top5: 0.8520 acc/mean1: 0.6287 2022/08/09 03:44:44 - mmengine - INFO - Epoch(train) [26][20/1879] lr: 2.0000e-03 eta: 11:14:36 time: 1.0765 data_time: 0.1950 memory: 19726 grad_norm: 3.7635 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3879 loss: 1.3879 2022/08/09 03:44:48 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 03:45:01 - mmengine - INFO - Epoch(train) [26][40/1879] lr: 2.0000e-03 eta: 11:14:18 time: 0.8478 data_time: 0.0186 memory: 19726 grad_norm: 3.6172 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4625 loss: 1.4625 2022/08/09 03:45:19 - mmengine - INFO - Epoch(train) [26][60/1879] lr: 2.0000e-03 eta: 11:14:01 time: 0.8690 data_time: 0.0269 memory: 19726 grad_norm: 3.6560 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3282 loss: 1.3282 2022/08/09 03:45:36 - mmengine - INFO - Epoch(train) [26][80/1879] lr: 2.0000e-03 eta: 11:13:44 time: 0.8531 data_time: 0.0185 memory: 19726 grad_norm: 3.5207 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1368 loss: 1.1368 2022/08/09 03:45:53 - mmengine - INFO - Epoch(train) [26][100/1879] lr: 2.0000e-03 eta: 11:13:26 time: 0.8465 data_time: 0.0177 memory: 19726 grad_norm: 3.5505 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3652 loss: 1.3652 2022/08/09 03:46:10 - mmengine - INFO - Epoch(train) [26][120/1879] lr: 2.0000e-03 eta: 11:13:09 time: 0.8539 data_time: 0.0193 memory: 19726 grad_norm: 3.5747 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/08/09 03:46:27 - mmengine - INFO - Epoch(train) [26][140/1879] lr: 2.0000e-03 eta: 11:12:51 time: 0.8571 data_time: 0.0192 memory: 19726 grad_norm: 3.6166 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1954 loss: 1.1954 2022/08/09 03:46:44 - mmengine - INFO - Epoch(train) [26][160/1879] lr: 2.0000e-03 eta: 11:12:34 time: 0.8470 data_time: 0.0175 memory: 19726 grad_norm: 3.4946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2585 loss: 1.2585 2022/08/09 03:47:01 - mmengine - INFO - Epoch(train) [26][180/1879] lr: 2.0000e-03 eta: 11:12:16 time: 0.8481 data_time: 0.0184 memory: 19726 grad_norm: 3.6091 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1685 loss: 1.1685 2022/08/09 03:47:18 - mmengine - INFO - Epoch(train) [26][200/1879] lr: 2.0000e-03 eta: 11:11:59 time: 0.8601 data_time: 0.0189 memory: 19726 grad_norm: 3.4750 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2302 loss: 1.2302 2022/08/09 03:47:35 - mmengine - INFO - Epoch(train) [26][220/1879] lr: 2.0000e-03 eta: 11:11:41 time: 0.8542 data_time: 0.0191 memory: 19726 grad_norm: 3.4679 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1791 loss: 1.1791 2022/08/09 03:47:52 - mmengine - INFO - Epoch(train) [26][240/1879] lr: 2.0000e-03 eta: 11:11:24 time: 0.8617 data_time: 0.0183 memory: 19726 grad_norm: 3.4911 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3150 loss: 1.3150 2022/08/09 03:48:09 - mmengine - INFO - Epoch(train) [26][260/1879] lr: 2.0000e-03 eta: 11:11:07 time: 0.8512 data_time: 0.0186 memory: 19726 grad_norm: 3.4381 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9606 loss: 0.9606 2022/08/09 03:48:26 - mmengine - INFO - Epoch(train) [26][280/1879] lr: 2.0000e-03 eta: 11:10:49 time: 0.8577 data_time: 0.0255 memory: 19726 grad_norm: 3.5045 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1348 loss: 1.1348 2022/08/09 03:48:43 - mmengine - INFO - Epoch(train) [26][300/1879] lr: 2.0000e-03 eta: 11:10:32 time: 0.8481 data_time: 0.0194 memory: 19726 grad_norm: 3.5125 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9353 loss: 0.9353 2022/08/09 03:49:00 - mmengine - INFO - Epoch(train) [26][320/1879] lr: 2.0000e-03 eta: 11:10:15 time: 0.8516 data_time: 0.0192 memory: 19726 grad_norm: 3.5113 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1399 loss: 1.1399 2022/08/09 03:49:17 - mmengine - INFO - Epoch(train) [26][340/1879] lr: 2.0000e-03 eta: 11:09:57 time: 0.8488 data_time: 0.0188 memory: 19726 grad_norm: 3.4706 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9824 loss: 0.9824 2022/08/09 03:49:34 - mmengine - INFO - Epoch(train) [26][360/1879] lr: 2.0000e-03 eta: 11:09:40 time: 0.8535 data_time: 0.0186 memory: 19726 grad_norm: 3.4978 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0298 loss: 1.0298 2022/08/09 03:49:51 - mmengine - INFO - Epoch(train) [26][380/1879] lr: 2.0000e-03 eta: 11:09:22 time: 0.8478 data_time: 0.0177 memory: 19726 grad_norm: 3.4514 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1996 loss: 1.1996 2022/08/09 03:50:08 - mmengine - INFO - Epoch(train) [26][400/1879] lr: 2.0000e-03 eta: 11:09:05 time: 0.8508 data_time: 0.0199 memory: 19726 grad_norm: 3.4702 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1080 loss: 1.1080 2022/08/09 03:50:26 - mmengine - INFO - Epoch(train) [26][420/1879] lr: 2.0000e-03 eta: 11:08:47 time: 0.8573 data_time: 0.0212 memory: 19726 grad_norm: 3.5577 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2510 loss: 1.2510 2022/08/09 03:50:43 - mmengine - INFO - Epoch(train) [26][440/1879] lr: 2.0000e-03 eta: 11:08:30 time: 0.8576 data_time: 0.0275 memory: 19726 grad_norm: 3.5971 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2906 loss: 1.2906 2022/08/09 03:51:00 - mmengine - INFO - Epoch(train) [26][460/1879] lr: 2.0000e-03 eta: 11:08:13 time: 0.8509 data_time: 0.0189 memory: 19726 grad_norm: 3.5570 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1006 loss: 1.1006 2022/08/09 03:51:17 - mmengine - INFO - Epoch(train) [26][480/1879] lr: 2.0000e-03 eta: 11:07:55 time: 0.8486 data_time: 0.0192 memory: 19726 grad_norm: 3.5289 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0096 loss: 1.0096 2022/08/09 03:51:34 - mmengine - INFO - Epoch(train) [26][500/1879] lr: 2.0000e-03 eta: 11:07:38 time: 0.8483 data_time: 0.0181 memory: 19726 grad_norm: 3.5980 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2231 loss: 1.2231 2022/08/09 03:51:51 - mmengine - INFO - Epoch(train) [26][520/1879] lr: 2.0000e-03 eta: 11:07:20 time: 0.8493 data_time: 0.0183 memory: 19726 grad_norm: 3.5039 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2063 loss: 1.2063 2022/08/09 03:52:08 - mmengine - INFO - Epoch(train) [26][540/1879] lr: 2.0000e-03 eta: 11:07:03 time: 0.8498 data_time: 0.0190 memory: 19726 grad_norm: 3.5017 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1025 loss: 1.1025 2022/08/09 03:52:25 - mmengine - INFO - Epoch(train) [26][560/1879] lr: 2.0000e-03 eta: 11:06:45 time: 0.8549 data_time: 0.0191 memory: 19726 grad_norm: 3.5215 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1045 loss: 1.1045 2022/08/09 03:52:42 - mmengine - INFO - Epoch(train) [26][580/1879] lr: 2.0000e-03 eta: 11:06:28 time: 0.8508 data_time: 0.0191 memory: 19726 grad_norm: 3.5711 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1323 loss: 1.1323 2022/08/09 03:52:59 - mmengine - INFO - Epoch(train) [26][600/1879] lr: 2.0000e-03 eta: 11:06:10 time: 0.8525 data_time: 0.0178 memory: 19726 grad_norm: 3.5815 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1907 loss: 1.1907 2022/08/09 03:53:16 - mmengine - INFO - Epoch(train) [26][620/1879] lr: 2.0000e-03 eta: 11:05:53 time: 0.8526 data_time: 0.0191 memory: 19726 grad_norm: 3.5134 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9968 loss: 0.9968 2022/08/09 03:53:33 - mmengine - INFO - Epoch(train) [26][640/1879] lr: 2.0000e-03 eta: 11:05:35 time: 0.8489 data_time: 0.0177 memory: 19726 grad_norm: 3.4737 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0426 loss: 1.0426 2022/08/09 03:53:50 - mmengine - INFO - Epoch(train) [26][660/1879] lr: 2.0000e-03 eta: 11:05:18 time: 0.8552 data_time: 0.0197 memory: 19726 grad_norm: 3.5682 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2730 loss: 1.2730 2022/08/09 03:54:07 - mmengine - INFO - Epoch(train) [26][680/1879] lr: 2.0000e-03 eta: 11:05:01 time: 0.8512 data_time: 0.0203 memory: 19726 grad_norm: 3.5402 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1374 loss: 1.1374 2022/08/09 03:54:24 - mmengine - INFO - Epoch(train) [26][700/1879] lr: 2.0000e-03 eta: 11:04:43 time: 0.8504 data_time: 0.0179 memory: 19726 grad_norm: 3.6284 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2000 loss: 1.2000 2022/08/09 03:54:41 - mmengine - INFO - Epoch(train) [26][720/1879] lr: 2.0000e-03 eta: 11:04:26 time: 0.8513 data_time: 0.0186 memory: 19726 grad_norm: 3.5185 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1175 loss: 1.1175 2022/08/09 03:54:58 - mmengine - INFO - Epoch(train) [26][740/1879] lr: 2.0000e-03 eta: 11:04:08 time: 0.8485 data_time: 0.0183 memory: 19726 grad_norm: 3.5175 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1711 loss: 1.1711 2022/08/09 03:55:15 - mmengine - INFO - Epoch(train) [26][760/1879] lr: 2.0000e-03 eta: 11:03:51 time: 0.8576 data_time: 0.0206 memory: 19726 grad_norm: 3.6748 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9748 loss: 0.9748 2022/08/09 03:55:32 - mmengine - INFO - Epoch(train) [26][780/1879] lr: 2.0000e-03 eta: 11:03:33 time: 0.8475 data_time: 0.0178 memory: 19726 grad_norm: 3.6415 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1719 loss: 1.1719 2022/08/09 03:55:49 - mmengine - INFO - Epoch(train) [26][800/1879] lr: 2.0000e-03 eta: 11:03:16 time: 0.8534 data_time: 0.0183 memory: 19726 grad_norm: 3.5206 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1519 loss: 1.1519 2022/08/09 03:56:06 - mmengine - INFO - Epoch(train) [26][820/1879] lr: 2.0000e-03 eta: 11:02:59 time: 0.8536 data_time: 0.0191 memory: 19726 grad_norm: 3.4955 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2852 loss: 1.2852 2022/08/09 03:56:23 - mmengine - INFO - Epoch(train) [26][840/1879] lr: 2.0000e-03 eta: 11:02:41 time: 0.8504 data_time: 0.0187 memory: 19726 grad_norm: 3.5671 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1680 loss: 1.1680 2022/08/09 03:56:41 - mmengine - INFO - Epoch(train) [26][860/1879] lr: 2.0000e-03 eta: 11:02:24 time: 0.8591 data_time: 0.0194 memory: 19726 grad_norm: 3.5532 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1822 loss: 1.1822 2022/08/09 03:56:58 - mmengine - INFO - Epoch(train) [26][880/1879] lr: 2.0000e-03 eta: 11:02:06 time: 0.8528 data_time: 0.0186 memory: 19726 grad_norm: 3.5997 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9436 loss: 0.9436 2022/08/09 03:57:15 - mmengine - INFO - Epoch(train) [26][900/1879] lr: 2.0000e-03 eta: 11:01:49 time: 0.8506 data_time: 0.0179 memory: 19726 grad_norm: 3.5514 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/08/09 03:57:32 - mmengine - INFO - Epoch(train) [26][920/1879] lr: 2.0000e-03 eta: 11:01:31 time: 0.8497 data_time: 0.0181 memory: 19726 grad_norm: 3.5249 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9183 loss: 0.9183 2022/08/09 03:57:49 - mmengine - INFO - Epoch(train) [26][940/1879] lr: 2.0000e-03 eta: 11:01:14 time: 0.8583 data_time: 0.0237 memory: 19726 grad_norm: 3.5209 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0086 loss: 1.0086 2022/08/09 03:58:06 - mmengine - INFO - Epoch(train) [26][960/1879] lr: 2.0000e-03 eta: 11:00:57 time: 0.8512 data_time: 0.0194 memory: 19726 grad_norm: 3.5282 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0554 loss: 1.0554 2022/08/09 03:58:23 - mmengine - INFO - Epoch(train) [26][980/1879] lr: 2.0000e-03 eta: 11:00:39 time: 0.8501 data_time: 0.0196 memory: 19726 grad_norm: 3.5617 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1070 loss: 1.1070 2022/08/09 03:58:40 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 2.0000e-03 eta: 11:00:22 time: 0.8500 data_time: 0.0180 memory: 19726 grad_norm: 3.5260 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9956 loss: 0.9956 2022/08/09 03:58:57 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 2.0000e-03 eta: 11:00:04 time: 0.8519 data_time: 0.0192 memory: 19726 grad_norm: 3.5694 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2794 loss: 1.2794 2022/08/09 03:59:01 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 03:59:14 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 2.0000e-03 eta: 10:59:47 time: 0.8496 data_time: 0.0183 memory: 19726 grad_norm: 3.5423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1677 loss: 1.1677 2022/08/09 03:59:31 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 2.0000e-03 eta: 10:59:29 time: 0.8490 data_time: 0.0187 memory: 19726 grad_norm: 3.6417 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0604 loss: 1.0604 2022/08/09 03:59:48 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 2.0000e-03 eta: 10:59:12 time: 0.8557 data_time: 0.0196 memory: 19726 grad_norm: 3.6158 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0702 loss: 1.0702 2022/08/09 04:00:05 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 2.0000e-03 eta: 10:58:55 time: 0.8521 data_time: 0.0197 memory: 19726 grad_norm: 3.6572 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/08/09 04:00:22 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 2.0000e-03 eta: 10:58:37 time: 0.8586 data_time: 0.0231 memory: 19726 grad_norm: 3.6723 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2687 loss: 1.2687 2022/08/09 04:00:39 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 2.0000e-03 eta: 10:58:20 time: 0.8501 data_time: 0.0180 memory: 19726 grad_norm: 3.4776 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9565 loss: 0.9565 2022/08/09 04:00:56 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 2.0000e-03 eta: 10:58:02 time: 0.8504 data_time: 0.0191 memory: 19726 grad_norm: 3.5409 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0931 loss: 1.0931 2022/08/09 04:01:13 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 2.0000e-03 eta: 10:57:45 time: 0.8506 data_time: 0.0192 memory: 19726 grad_norm: 3.4792 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/08/09 04:01:30 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 2.0000e-03 eta: 10:57:28 time: 0.8506 data_time: 0.0197 memory: 19726 grad_norm: 3.6360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0339 loss: 1.0339 2022/08/09 04:01:47 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 2.0000e-03 eta: 10:57:10 time: 0.8499 data_time: 0.0192 memory: 19726 grad_norm: 3.5975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0069 loss: 1.0069 2022/08/09 04:02:04 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 2.0000e-03 eta: 10:56:53 time: 0.8486 data_time: 0.0182 memory: 19726 grad_norm: 3.6609 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0102 loss: 1.0102 2022/08/09 04:02:21 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 2.0000e-03 eta: 10:56:35 time: 0.8533 data_time: 0.0246 memory: 19726 grad_norm: 3.6248 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2260 loss: 1.2260 2022/08/09 04:02:38 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 2.0000e-03 eta: 10:56:18 time: 0.8532 data_time: 0.0193 memory: 19726 grad_norm: 3.5755 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9440 loss: 0.9440 2022/08/09 04:02:56 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 2.0000e-03 eta: 10:56:00 time: 0.8537 data_time: 0.0190 memory: 19726 grad_norm: 3.6230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0729 loss: 1.0729 2022/08/09 04:03:13 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 2.0000e-03 eta: 10:55:43 time: 0.8533 data_time: 0.0189 memory: 19726 grad_norm: 3.5961 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1146 loss: 1.1146 2022/08/09 04:03:30 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 2.0000e-03 eta: 10:55:26 time: 0.8519 data_time: 0.0193 memory: 19726 grad_norm: 3.6337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9873 loss: 0.9873 2022/08/09 04:03:47 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 2.0000e-03 eta: 10:55:08 time: 0.8533 data_time: 0.0195 memory: 19726 grad_norm: 3.4622 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9375 loss: 0.9375 2022/08/09 04:04:04 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 2.0000e-03 eta: 10:54:51 time: 0.8479 data_time: 0.0185 memory: 19726 grad_norm: 3.5814 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0355 loss: 1.0355 2022/08/09 04:04:21 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 2.0000e-03 eta: 10:54:33 time: 0.8506 data_time: 0.0184 memory: 19726 grad_norm: 3.6527 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2196 loss: 1.2196 2022/08/09 04:04:38 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 2.0000e-03 eta: 10:54:16 time: 0.8580 data_time: 0.0199 memory: 19726 grad_norm: 3.5565 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0018 loss: 1.0018 2022/08/09 04:04:55 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 2.0000e-03 eta: 10:53:58 time: 0.8489 data_time: 0.0191 memory: 19726 grad_norm: 3.6411 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9941 loss: 0.9941 2022/08/09 04:05:12 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 2.0000e-03 eta: 10:53:41 time: 0.8643 data_time: 0.0213 memory: 19726 grad_norm: 3.5796 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0087 loss: 1.0087 2022/08/09 04:05:29 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 2.0000e-03 eta: 10:53:24 time: 0.8547 data_time: 0.0200 memory: 19726 grad_norm: 3.6809 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9328 loss: 0.9328 2022/08/09 04:05:46 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 2.0000e-03 eta: 10:53:07 time: 0.8573 data_time: 0.0197 memory: 19726 grad_norm: 3.6131 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0704 loss: 1.0704 2022/08/09 04:06:03 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 2.0000e-03 eta: 10:52:49 time: 0.8473 data_time: 0.0183 memory: 19726 grad_norm: 3.6883 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.1168 loss: 1.1168 2022/08/09 04:06:20 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 2.0000e-03 eta: 10:52:32 time: 0.8533 data_time: 0.0195 memory: 19726 grad_norm: 3.6374 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0720 loss: 1.0720 2022/08/09 04:06:37 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 2.0000e-03 eta: 10:52:14 time: 0.8500 data_time: 0.0191 memory: 19726 grad_norm: 3.5792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1059 loss: 1.1059 2022/08/09 04:06:54 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 2.0000e-03 eta: 10:51:57 time: 0.8524 data_time: 0.0186 memory: 19726 grad_norm: 3.6180 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0506 loss: 1.0506 2022/08/09 04:07:12 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 2.0000e-03 eta: 10:51:39 time: 0.8521 data_time: 0.0193 memory: 19726 grad_norm: 3.5969 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0810 loss: 1.0810 2022/08/09 04:07:29 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 2.0000e-03 eta: 10:51:22 time: 0.8509 data_time: 0.0199 memory: 19726 grad_norm: 3.7618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1707 loss: 1.1707 2022/08/09 04:07:46 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 2.0000e-03 eta: 10:51:05 time: 0.8508 data_time: 0.0201 memory: 19726 grad_norm: 3.4948 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0550 loss: 1.0550 2022/08/09 04:08:03 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 2.0000e-03 eta: 10:50:47 time: 0.8507 data_time: 0.0194 memory: 19726 grad_norm: 3.6341 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0423 loss: 1.0423 2022/08/09 04:08:20 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 2.0000e-03 eta: 10:50:30 time: 0.8569 data_time: 0.0189 memory: 19726 grad_norm: 3.6269 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8731 loss: 0.8731 2022/08/09 04:08:37 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 2.0000e-03 eta: 10:50:12 time: 0.8498 data_time: 0.0190 memory: 19726 grad_norm: 3.6317 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9528 loss: 0.9528 2022/08/09 04:08:54 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 2.0000e-03 eta: 10:49:55 time: 0.8502 data_time: 0.0189 memory: 19726 grad_norm: 3.5665 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9339 loss: 0.9339 2022/08/09 04:09:11 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 2.0000e-03 eta: 10:49:37 time: 0.8517 data_time: 0.0199 memory: 19726 grad_norm: 3.6935 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9702 loss: 0.9702 2022/08/09 04:09:28 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 2.0000e-03 eta: 10:49:20 time: 0.8512 data_time: 0.0197 memory: 19726 grad_norm: 3.6864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0190 loss: 1.0190 2022/08/09 04:09:45 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 2.0000e-03 eta: 10:49:03 time: 0.8514 data_time: 0.0184 memory: 19726 grad_norm: 3.6790 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.1645 loss: 1.1645 2022/08/09 04:10:02 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 2.0000e-03 eta: 10:48:45 time: 0.8521 data_time: 0.0202 memory: 19726 grad_norm: 3.6321 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0284 loss: 1.0284 2022/08/09 04:10:19 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 2.0000e-03 eta: 10:48:28 time: 0.8614 data_time: 0.0208 memory: 19726 grad_norm: 3.5549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1305 loss: 1.1305 2022/08/09 04:10:36 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 2.0000e-03 eta: 10:48:11 time: 0.8518 data_time: 0.0193 memory: 19726 grad_norm: 3.6971 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1251 loss: 1.1251 2022/08/09 04:10:53 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 2.0000e-03 eta: 10:47:53 time: 0.8545 data_time: 0.0192 memory: 19726 grad_norm: 3.6411 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9177 loss: 0.9177 2022/08/09 04:11:09 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 04:11:09 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 2.0000e-03 eta: 10:47:53 time: 0.8349 data_time: 0.0181 memory: 19726 grad_norm: 3.6880 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1080 loss: 1.1080 2022/08/09 04:11:24 - mmengine - INFO - Epoch(val) [26][20/155] eta: 0:01:39 time: 0.7354 data_time: 0.4948 memory: 2699 2022/08/09 04:11:36 - mmengine - INFO - Epoch(val) [26][40/155] eta: 0:01:10 time: 0.6105 data_time: 0.3722 memory: 2699 2022/08/09 04:11:47 - mmengine - INFO - Epoch(val) [26][60/155] eta: 0:00:51 time: 0.5380 data_time: 0.2960 memory: 2699 2022/08/09 04:12:01 - mmengine - INFO - Epoch(val) [26][80/155] eta: 0:00:54 time: 0.7255 data_time: 0.4865 memory: 2699 2022/08/09 04:12:11 - mmengine - INFO - Epoch(val) [26][100/155] eta: 0:00:27 time: 0.5004 data_time: 0.2624 memory: 2699 2022/08/09 04:12:25 - mmengine - INFO - Epoch(val) [26][120/155] eta: 0:00:24 time: 0.6979 data_time: 0.4597 memory: 2699 2022/08/09 04:12:37 - mmengine - INFO - Epoch(val) [26][140/155] eta: 0:00:08 time: 0.5900 data_time: 0.3558 memory: 2699 2022/08/09 04:12:47 - mmengine - INFO - Epoch(val) [26][155/155] acc/top1: 0.7086 acc/top5: 0.8965 acc/mean1: 0.7085 2022/08/09 04:12:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_25.pth is removed 2022/08/09 04:12:48 - mmengine - INFO - The best checkpoint with 0.7086 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/08/09 04:13:10 - mmengine - INFO - Epoch(train) [27][20/1879] lr: 2.0000e-03 eta: 10:47:09 time: 1.0840 data_time: 0.2400 memory: 19726 grad_norm: 3.4975 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1394 loss: 1.1394 2022/08/09 04:13:27 - mmengine - INFO - Epoch(train) [27][40/1879] lr: 2.0000e-03 eta: 10:46:51 time: 0.8477 data_time: 0.0183 memory: 19726 grad_norm: 3.6060 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8955 loss: 0.8955 2022/08/09 04:13:44 - mmengine - INFO - Epoch(train) [27][60/1879] lr: 2.0000e-03 eta: 10:46:34 time: 0.8469 data_time: 0.0193 memory: 19726 grad_norm: 3.5171 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9531 loss: 0.9531 2022/08/09 04:14:01 - mmengine - INFO - Epoch(train) [27][80/1879] lr: 2.0000e-03 eta: 10:46:16 time: 0.8501 data_time: 0.0188 memory: 19726 grad_norm: 3.6422 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/09 04:14:18 - mmengine - INFO - Epoch(train) [27][100/1879] lr: 2.0000e-03 eta: 10:45:59 time: 0.8548 data_time: 0.0194 memory: 19726 grad_norm: 3.6134 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0466 loss: 1.0466 2022/08/09 04:14:35 - mmengine - INFO - Epoch(train) [27][120/1879] lr: 2.0000e-03 eta: 10:45:41 time: 0.8482 data_time: 0.0194 memory: 19726 grad_norm: 3.5839 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9273 loss: 0.9273 2022/08/09 04:14:52 - mmengine - INFO - Epoch(train) [27][140/1879] lr: 2.0000e-03 eta: 10:45:24 time: 0.8548 data_time: 0.0206 memory: 19726 grad_norm: 3.5653 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9257 loss: 0.9257 2022/08/09 04:14:57 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 04:15:10 - mmengine - INFO - Epoch(train) [27][160/1879] lr: 2.0000e-03 eta: 10:45:07 time: 0.8679 data_time: 0.0220 memory: 19726 grad_norm: 3.6027 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9199 loss: 0.9199 2022/08/09 04:15:27 - mmengine - INFO - Epoch(train) [27][180/1879] lr: 2.0000e-03 eta: 10:44:50 time: 0.8709 data_time: 0.0258 memory: 19726 grad_norm: 3.6624 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0766 loss: 1.0766 2022/08/09 04:15:44 - mmengine - INFO - Epoch(train) [27][200/1879] lr: 2.0000e-03 eta: 10:44:32 time: 0.8492 data_time: 0.0182 memory: 19726 grad_norm: 3.5907 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0037 loss: 1.0037 2022/08/09 04:16:01 - mmengine - INFO - Epoch(train) [27][220/1879] lr: 2.0000e-03 eta: 10:44:15 time: 0.8508 data_time: 0.0192 memory: 19726 grad_norm: 3.6380 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1215 loss: 1.1215 2022/08/09 04:16:18 - mmengine - INFO - Epoch(train) [27][240/1879] lr: 2.0000e-03 eta: 10:43:58 time: 0.8560 data_time: 0.0200 memory: 19726 grad_norm: 3.6715 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1390 loss: 1.1390 2022/08/09 04:16:35 - mmengine - INFO - Epoch(train) [27][260/1879] lr: 2.0000e-03 eta: 10:43:40 time: 0.8507 data_time: 0.0189 memory: 19726 grad_norm: 3.5078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8880 loss: 0.8880 2022/08/09 04:16:52 - mmengine - INFO - Epoch(train) [27][280/1879] lr: 2.0000e-03 eta: 10:43:23 time: 0.8591 data_time: 0.0185 memory: 19726 grad_norm: 3.5135 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9166 loss: 0.9166 2022/08/09 04:17:09 - mmengine - INFO - Epoch(train) [27][300/1879] lr: 2.0000e-03 eta: 10:43:06 time: 0.8490 data_time: 0.0188 memory: 19726 grad_norm: 3.5994 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1837 loss: 1.1837 2022/08/09 04:17:26 - mmengine - INFO - Epoch(train) [27][320/1879] lr: 2.0000e-03 eta: 10:42:48 time: 0.8506 data_time: 0.0198 memory: 19726 grad_norm: 3.6720 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9816 loss: 0.9816 2022/08/09 04:17:43 - mmengine - INFO - Epoch(train) [27][340/1879] lr: 2.0000e-03 eta: 10:42:31 time: 0.8511 data_time: 0.0193 memory: 19726 grad_norm: 3.5979 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1153 loss: 1.1153 2022/08/09 04:18:01 - mmengine - INFO - Epoch(train) [27][360/1879] lr: 2.0000e-03 eta: 10:42:14 time: 0.8686 data_time: 0.0237 memory: 19726 grad_norm: 3.5490 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9491 loss: 0.9491 2022/08/09 04:18:18 - mmengine - INFO - Epoch(train) [27][380/1879] lr: 2.0000e-03 eta: 10:41:56 time: 0.8465 data_time: 0.0191 memory: 19726 grad_norm: 3.6089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0434 loss: 1.0434 2022/08/09 04:18:35 - mmengine - INFO - Epoch(train) [27][400/1879] lr: 2.0000e-03 eta: 10:41:39 time: 0.8458 data_time: 0.0184 memory: 19726 grad_norm: 3.7164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9711 loss: 0.9711 2022/08/09 04:18:52 - mmengine - INFO - Epoch(train) [27][420/1879] lr: 2.0000e-03 eta: 10:41:21 time: 0.8471 data_time: 0.0196 memory: 19726 grad_norm: 3.6522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8831 loss: 0.8831 2022/08/09 04:19:09 - mmengine - INFO - Epoch(train) [27][440/1879] lr: 2.0000e-03 eta: 10:41:04 time: 0.8570 data_time: 0.0297 memory: 19726 grad_norm: 3.5812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0319 loss: 1.0319 2022/08/09 04:19:26 - mmengine - INFO - Epoch(train) [27][460/1879] lr: 2.0000e-03 eta: 10:40:46 time: 0.8464 data_time: 0.0188 memory: 19726 grad_norm: 3.5704 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9942 loss: 0.9942 2022/08/09 04:19:43 - mmengine - INFO - Epoch(train) [27][480/1879] lr: 2.0000e-03 eta: 10:40:29 time: 0.8525 data_time: 0.0185 memory: 19726 grad_norm: 3.6590 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0008 loss: 1.0008 2022/08/09 04:20:00 - mmengine - INFO - Epoch(train) [27][500/1879] lr: 2.0000e-03 eta: 10:40:11 time: 0.8507 data_time: 0.0198 memory: 19726 grad_norm: 3.5661 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8062 loss: 0.8062 2022/08/09 04:20:17 - mmengine - INFO - Epoch(train) [27][520/1879] lr: 2.0000e-03 eta: 10:39:54 time: 0.8550 data_time: 0.0215 memory: 19726 grad_norm: 3.6496 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0870 loss: 1.0870 2022/08/09 04:20:34 - mmengine - INFO - Epoch(train) [27][540/1879] lr: 2.0000e-03 eta: 10:39:37 time: 0.8484 data_time: 0.0185 memory: 19726 grad_norm: 3.6327 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9147 loss: 0.9147 2022/08/09 04:20:51 - mmengine - INFO - Epoch(train) [27][560/1879] lr: 2.0000e-03 eta: 10:39:19 time: 0.8494 data_time: 0.0189 memory: 19726 grad_norm: 3.6749 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2508 loss: 1.2508 2022/08/09 04:21:08 - mmengine - INFO - Epoch(train) [27][580/1879] lr: 2.0000e-03 eta: 10:39:02 time: 0.8507 data_time: 0.0195 memory: 19726 grad_norm: 3.6390 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9085 loss: 0.9085 2022/08/09 04:21:25 - mmengine - INFO - Epoch(train) [27][600/1879] lr: 2.0000e-03 eta: 10:38:44 time: 0.8489 data_time: 0.0183 memory: 19726 grad_norm: 3.5765 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9225 loss: 0.9225 2022/08/09 04:21:42 - mmengine - INFO - Epoch(train) [27][620/1879] lr: 2.0000e-03 eta: 10:38:27 time: 0.8526 data_time: 0.0196 memory: 19726 grad_norm: 3.4930 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9574 loss: 0.9574 2022/08/09 04:21:59 - mmengine - INFO - Epoch(train) [27][640/1879] lr: 2.0000e-03 eta: 10:38:10 time: 0.8496 data_time: 0.0202 memory: 19726 grad_norm: 3.5364 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9134 loss: 0.9134 2022/08/09 04:22:16 - mmengine - INFO - Epoch(train) [27][660/1879] lr: 2.0000e-03 eta: 10:37:52 time: 0.8502 data_time: 0.0181 memory: 19726 grad_norm: 3.6370 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8608 loss: 0.8608 2022/08/09 04:22:33 - mmengine - INFO - Epoch(train) [27][680/1879] lr: 2.0000e-03 eta: 10:37:35 time: 0.8604 data_time: 0.0202 memory: 19726 grad_norm: 3.5654 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1813 loss: 1.1813 2022/08/09 04:22:50 - mmengine - INFO - Epoch(train) [27][700/1879] lr: 2.0000e-03 eta: 10:37:18 time: 0.8572 data_time: 0.0191 memory: 19726 grad_norm: 3.7649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9002 loss: 0.9002 2022/08/09 04:23:07 - mmengine - INFO - Epoch(train) [27][720/1879] lr: 2.0000e-03 eta: 10:37:00 time: 0.8500 data_time: 0.0191 memory: 19726 grad_norm: 3.6066 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0573 loss: 1.0573 2022/08/09 04:23:24 - mmengine - INFO - Epoch(train) [27][740/1879] lr: 2.0000e-03 eta: 10:36:43 time: 0.8486 data_time: 0.0180 memory: 19726 grad_norm: 3.6600 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1864 loss: 1.1864 2022/08/09 04:23:41 - mmengine - INFO - Epoch(train) [27][760/1879] lr: 2.0000e-03 eta: 10:36:25 time: 0.8526 data_time: 0.0199 memory: 19726 grad_norm: 3.5743 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0209 loss: 1.0209 2022/08/09 04:23:58 - mmengine - INFO - Epoch(train) [27][780/1879] lr: 2.0000e-03 eta: 10:36:08 time: 0.8523 data_time: 0.0216 memory: 19726 grad_norm: 3.7191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8754 loss: 0.8754 2022/08/09 04:24:15 - mmengine - INFO - Epoch(train) [27][800/1879] lr: 2.0000e-03 eta: 10:35:51 time: 0.8538 data_time: 0.0191 memory: 19726 grad_norm: 3.5784 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9258 loss: 0.9258 2022/08/09 04:24:32 - mmengine - INFO - Epoch(train) [27][820/1879] lr: 2.0000e-03 eta: 10:35:33 time: 0.8511 data_time: 0.0188 memory: 19726 grad_norm: 3.6083 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1213 loss: 1.1213 2022/08/09 04:24:50 - mmengine - INFO - Epoch(train) [27][840/1879] lr: 2.0000e-03 eta: 10:35:16 time: 0.8557 data_time: 0.0175 memory: 19726 grad_norm: 3.5447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2096 loss: 1.2096 2022/08/09 04:25:07 - mmengine - INFO - Epoch(train) [27][860/1879] lr: 2.0000e-03 eta: 10:34:58 time: 0.8498 data_time: 0.0188 memory: 19726 grad_norm: 3.6400 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.1082 loss: 1.1082 2022/08/09 04:25:24 - mmengine - INFO - Epoch(train) [27][880/1879] lr: 2.0000e-03 eta: 10:34:41 time: 0.8508 data_time: 0.0187 memory: 19726 grad_norm: 3.7895 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1423 loss: 1.1423 2022/08/09 04:25:41 - mmengine - INFO - Epoch(train) [27][900/1879] lr: 2.0000e-03 eta: 10:34:24 time: 0.8595 data_time: 0.0249 memory: 19726 grad_norm: 3.6093 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0247 loss: 1.0247 2022/08/09 04:25:58 - mmengine - INFO - Epoch(train) [27][920/1879] lr: 2.0000e-03 eta: 10:34:06 time: 0.8592 data_time: 0.0206 memory: 19726 grad_norm: 3.7468 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0521 loss: 1.0521 2022/08/09 04:26:15 - mmengine - INFO - Epoch(train) [27][940/1879] lr: 2.0000e-03 eta: 10:33:49 time: 0.8509 data_time: 0.0182 memory: 19726 grad_norm: 3.5823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0035 loss: 1.0035 2022/08/09 04:26:32 - mmengine - INFO - Epoch(train) [27][960/1879] lr: 2.0000e-03 eta: 10:33:32 time: 0.8593 data_time: 0.0186 memory: 19726 grad_norm: 3.5600 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0410 loss: 1.0410 2022/08/09 04:26:49 - mmengine - INFO - Epoch(train) [27][980/1879] lr: 2.0000e-03 eta: 10:33:15 time: 0.8574 data_time: 0.0245 memory: 19726 grad_norm: 3.6874 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9057 loss: 0.9057 2022/08/09 04:27:06 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 2.0000e-03 eta: 10:32:57 time: 0.8513 data_time: 0.0181 memory: 19726 grad_norm: 3.7295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/08/09 04:27:24 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 2.0000e-03 eta: 10:32:40 time: 0.8532 data_time: 0.0195 memory: 19726 grad_norm: 3.6964 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9618 loss: 0.9618 2022/08/09 04:27:41 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 2.0000e-03 eta: 10:32:22 time: 0.8591 data_time: 0.0198 memory: 19726 grad_norm: 3.6901 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0439 loss: 1.0439 2022/08/09 04:27:58 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 2.0000e-03 eta: 10:32:05 time: 0.8552 data_time: 0.0196 memory: 19726 grad_norm: 3.5941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9907 loss: 0.9907 2022/08/09 04:28:15 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 2.0000e-03 eta: 10:31:48 time: 0.8529 data_time: 0.0186 memory: 19726 grad_norm: 3.6355 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0065 loss: 1.0065 2022/08/09 04:28:32 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 2.0000e-03 eta: 10:31:30 time: 0.8542 data_time: 0.0185 memory: 19726 grad_norm: 3.6411 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9250 loss: 0.9250 2022/08/09 04:28:49 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 2.0000e-03 eta: 10:31:13 time: 0.8508 data_time: 0.0194 memory: 19726 grad_norm: 3.7452 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0416 loss: 1.0416 2022/08/09 04:29:06 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 2.0000e-03 eta: 10:30:56 time: 0.8498 data_time: 0.0188 memory: 19726 grad_norm: 3.6241 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1013 loss: 1.1013 2022/08/09 04:29:11 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 04:29:23 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 2.0000e-03 eta: 10:30:38 time: 0.8502 data_time: 0.0196 memory: 19726 grad_norm: 3.7395 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0022 loss: 1.0022 2022/08/09 04:29:40 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 2.0000e-03 eta: 10:30:21 time: 0.8543 data_time: 0.0190 memory: 19726 grad_norm: 3.7039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0239 loss: 1.0239 2022/08/09 04:29:57 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 2.0000e-03 eta: 10:30:03 time: 0.8499 data_time: 0.0187 memory: 19726 grad_norm: 3.7314 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0730 loss: 1.0730 2022/08/09 04:30:14 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 2.0000e-03 eta: 10:29:46 time: 0.8646 data_time: 0.0205 memory: 19726 grad_norm: 3.6142 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9976 loss: 0.9976 2022/08/09 04:30:31 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 2.0000e-03 eta: 10:29:29 time: 0.8526 data_time: 0.0190 memory: 19726 grad_norm: 3.5988 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0105 loss: 1.0105 2022/08/09 04:30:49 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 2.0000e-03 eta: 10:29:12 time: 0.8568 data_time: 0.0194 memory: 19726 grad_norm: 3.6601 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0402 loss: 1.0402 2022/08/09 04:31:06 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 2.0000e-03 eta: 10:28:54 time: 0.8501 data_time: 0.0185 memory: 19726 grad_norm: 3.5913 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8851 loss: 0.8851 2022/08/09 04:31:23 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 2.0000e-03 eta: 10:28:37 time: 0.8505 data_time: 0.0187 memory: 19726 grad_norm: 3.5960 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8756 loss: 0.8756 2022/08/09 04:31:40 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 2.0000e-03 eta: 10:28:19 time: 0.8504 data_time: 0.0178 memory: 19726 grad_norm: 3.6992 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9411 loss: 0.9411 2022/08/09 04:31:57 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 2.0000e-03 eta: 10:28:02 time: 0.8518 data_time: 0.0178 memory: 19726 grad_norm: 3.6158 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9673 loss: 0.9673 2022/08/09 04:32:14 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 2.0000e-03 eta: 10:27:45 time: 0.8500 data_time: 0.0185 memory: 19726 grad_norm: 3.7230 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1680 loss: 1.1680 2022/08/09 04:32:31 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 2.0000e-03 eta: 10:27:27 time: 0.8501 data_time: 0.0190 memory: 19726 grad_norm: 3.8141 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9871 loss: 0.9871 2022/08/09 04:32:48 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 2.0000e-03 eta: 10:27:10 time: 0.8493 data_time: 0.0200 memory: 19726 grad_norm: 3.7363 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0696 loss: 1.0696 2022/08/09 04:33:05 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 2.0000e-03 eta: 10:26:52 time: 0.8511 data_time: 0.0194 memory: 19726 grad_norm: 3.5748 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1799 loss: 1.1799 2022/08/09 04:33:22 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 2.0000e-03 eta: 10:26:35 time: 0.8492 data_time: 0.0180 memory: 19726 grad_norm: 3.6282 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0979 loss: 1.0979 2022/08/09 04:33:39 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 2.0000e-03 eta: 10:26:17 time: 0.8500 data_time: 0.0187 memory: 19726 grad_norm: 3.5681 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9282 loss: 0.9282 2022/08/09 04:33:56 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 2.0000e-03 eta: 10:26:00 time: 0.8740 data_time: 0.0420 memory: 19726 grad_norm: 3.5541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0066 loss: 1.0066 2022/08/09 04:34:13 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 2.0000e-03 eta: 10:25:43 time: 0.8558 data_time: 0.0198 memory: 19726 grad_norm: 3.6938 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9979 loss: 0.9979 2022/08/09 04:34:30 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 2.0000e-03 eta: 10:25:26 time: 0.8546 data_time: 0.0199 memory: 19726 grad_norm: 3.5463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8936 loss: 0.8936 2022/08/09 04:34:47 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 2.0000e-03 eta: 10:25:08 time: 0.8508 data_time: 0.0182 memory: 19726 grad_norm: 3.7636 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1722 loss: 1.1722 2022/08/09 04:35:04 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 2.0000e-03 eta: 10:24:51 time: 0.8523 data_time: 0.0203 memory: 19726 grad_norm: 3.5394 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9167 loss: 0.9167 2022/08/09 04:35:22 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 2.0000e-03 eta: 10:24:34 time: 0.8687 data_time: 0.0245 memory: 19726 grad_norm: 3.6667 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.1340 loss: 1.1340 2022/08/09 04:35:39 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 2.0000e-03 eta: 10:24:17 time: 0.8539 data_time: 0.0194 memory: 19726 grad_norm: 3.6192 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0251 loss: 1.0251 2022/08/09 04:35:56 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 2.0000e-03 eta: 10:23:59 time: 0.8471 data_time: 0.0190 memory: 19726 grad_norm: 3.7495 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0126 loss: 1.0126 2022/08/09 04:36:13 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 2.0000e-03 eta: 10:23:42 time: 0.8511 data_time: 0.0183 memory: 19726 grad_norm: 3.7487 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8080 loss: 0.8080 2022/08/09 04:36:30 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 2.0000e-03 eta: 10:23:24 time: 0.8596 data_time: 0.0209 memory: 19726 grad_norm: 3.7249 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9724 loss: 0.9724 2022/08/09 04:36:47 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 2.0000e-03 eta: 10:23:07 time: 0.8491 data_time: 0.0197 memory: 19726 grad_norm: 3.6325 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9867 loss: 0.9867 2022/08/09 04:37:04 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 2.0000e-03 eta: 10:22:50 time: 0.8562 data_time: 0.0194 memory: 19726 grad_norm: 3.5926 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9447 loss: 0.9447 2022/08/09 04:37:21 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 2.0000e-03 eta: 10:22:32 time: 0.8554 data_time: 0.0261 memory: 19726 grad_norm: 3.6466 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9748 loss: 0.9748 2022/08/09 04:37:38 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 2.0000e-03 eta: 10:22:15 time: 0.8521 data_time: 0.0196 memory: 19726 grad_norm: 3.7361 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0886 loss: 1.0886 2022/08/09 04:37:56 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 2.0000e-03 eta: 10:21:58 time: 0.8619 data_time: 0.0200 memory: 19726 grad_norm: 3.4916 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9825 loss: 0.9825 2022/08/09 04:38:13 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 2.0000e-03 eta: 10:21:41 time: 0.8570 data_time: 0.0189 memory: 19726 grad_norm: 3.6332 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0637 loss: 1.0637 2022/08/09 04:38:30 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 2.0000e-03 eta: 10:21:23 time: 0.8483 data_time: 0.0198 memory: 19726 grad_norm: 3.6583 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9116 loss: 0.9116 2022/08/09 04:38:47 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 2.0000e-03 eta: 10:21:06 time: 0.8522 data_time: 0.0190 memory: 19726 grad_norm: 3.6820 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0764 loss: 1.0764 2022/08/09 04:39:04 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 2.0000e-03 eta: 10:20:48 time: 0.8499 data_time: 0.0193 memory: 19726 grad_norm: 3.7458 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1340 loss: 1.1340 2022/08/09 04:39:21 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 2.0000e-03 eta: 10:20:31 time: 0.8537 data_time: 0.0205 memory: 19726 grad_norm: 3.6375 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0690 loss: 1.0690 2022/08/09 04:39:37 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 04:39:37 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 2.0000e-03 eta: 10:20:31 time: 0.8245 data_time: 0.0182 memory: 19726 grad_norm: 3.6460 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0823 loss: 1.0823 2022/08/09 04:39:37 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/09 04:39:55 - mmengine - INFO - Epoch(val) [27][20/155] eta: 0:01:47 time: 0.7962 data_time: 0.5553 memory: 2699 2022/08/09 04:40:05 - mmengine - INFO - Epoch(val) [27][40/155] eta: 0:00:57 time: 0.5035 data_time: 0.2636 memory: 2699 2022/08/09 04:40:20 - mmengine - INFO - Epoch(val) [27][60/155] eta: 0:01:10 time: 0.7454 data_time: 0.5069 memory: 2699 2022/08/09 04:40:31 - mmengine - INFO - Epoch(val) [27][80/155] eta: 0:00:42 time: 0.5660 data_time: 0.3274 memory: 2699 2022/08/09 04:40:43 - mmengine - INFO - Epoch(val) [27][100/155] eta: 0:00:32 time: 0.5952 data_time: 0.3568 memory: 2699 2022/08/09 04:40:55 - mmengine - INFO - Epoch(val) [27][120/155] eta: 0:00:20 time: 0.5957 data_time: 0.3571 memory: 2699 2022/08/09 04:41:07 - mmengine - INFO - Epoch(val) [27][140/155] eta: 0:00:09 time: 0.6241 data_time: 0.3904 memory: 2699 2022/08/09 04:41:17 - mmengine - INFO - Epoch(val) [27][155/155] acc/top1: 0.7140 acc/top5: 0.9003 acc/mean1: 0.7139 2022/08/09 04:41:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_27.pth is removed 2022/08/09 04:41:19 - mmengine - INFO - The best checkpoint with 0.7140 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/08/09 04:41:40 - mmengine - INFO - Epoch(train) [28][20/1879] lr: 2.0000e-03 eta: 10:19:47 time: 1.0562 data_time: 0.2160 memory: 19726 grad_norm: 3.5575 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9679 loss: 0.9679 2022/08/09 04:41:57 - mmengine - INFO - Epoch(train) [28][40/1879] lr: 2.0000e-03 eta: 10:19:29 time: 0.8431 data_time: 0.0179 memory: 19726 grad_norm: 3.5916 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0062 loss: 1.0062 2022/08/09 04:42:14 - mmengine - INFO - Epoch(train) [28][60/1879] lr: 2.0000e-03 eta: 10:19:12 time: 0.8490 data_time: 0.0188 memory: 19726 grad_norm: 3.6601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8742 loss: 0.8742 2022/08/09 04:42:31 - mmengine - INFO - Epoch(train) [28][80/1879] lr: 2.0000e-03 eta: 10:18:54 time: 0.8528 data_time: 0.0190 memory: 19726 grad_norm: 3.6684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/08/09 04:42:48 - mmengine - INFO - Epoch(train) [28][100/1879] lr: 2.0000e-03 eta: 10:18:37 time: 0.8556 data_time: 0.0179 memory: 19726 grad_norm: 3.6293 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9170 loss: 0.9170 2022/08/09 04:43:05 - mmengine - INFO - Epoch(train) [28][120/1879] lr: 2.0000e-03 eta: 10:18:20 time: 0.8519 data_time: 0.0191 memory: 19726 grad_norm: 3.5815 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9214 loss: 0.9214 2022/08/09 04:43:22 - mmengine - INFO - Epoch(train) [28][140/1879] lr: 2.0000e-03 eta: 10:18:02 time: 0.8510 data_time: 0.0191 memory: 19726 grad_norm: 3.6976 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0273 loss: 1.0273 2022/08/09 04:43:39 - mmengine - INFO - Epoch(train) [28][160/1879] lr: 2.0000e-03 eta: 10:17:45 time: 0.8507 data_time: 0.0174 memory: 19726 grad_norm: 3.7237 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0621 loss: 1.0621 2022/08/09 04:43:56 - mmengine - INFO - Epoch(train) [28][180/1879] lr: 2.0000e-03 eta: 10:17:28 time: 0.8493 data_time: 0.0178 memory: 19726 grad_norm: 3.6300 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0116 loss: 1.0116 2022/08/09 04:44:13 - mmengine - INFO - Epoch(train) [28][200/1879] lr: 2.0000e-03 eta: 10:17:10 time: 0.8556 data_time: 0.0188 memory: 19726 grad_norm: 3.7429 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9773 loss: 0.9773 2022/08/09 04:44:30 - mmengine - INFO - Epoch(train) [28][220/1879] lr: 2.0000e-03 eta: 10:16:53 time: 0.8585 data_time: 0.0192 memory: 19726 grad_norm: 3.6573 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9060 loss: 0.9060 2022/08/09 04:44:48 - mmengine - INFO - Epoch(train) [28][240/1879] lr: 2.0000e-03 eta: 10:16:36 time: 0.8575 data_time: 0.0195 memory: 19726 grad_norm: 3.5975 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0331 loss: 1.0331 2022/08/09 04:45:05 - mmengine - INFO - Epoch(train) [28][260/1879] lr: 2.0000e-03 eta: 10:16:18 time: 0.8519 data_time: 0.0189 memory: 19726 grad_norm: 3.7683 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1453 loss: 1.1453 2022/08/09 04:45:11 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 04:45:22 - mmengine - INFO - Epoch(train) [28][280/1879] lr: 2.0000e-03 eta: 10:16:01 time: 0.8602 data_time: 0.0202 memory: 19726 grad_norm: 3.6071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9624 loss: 0.9624 2022/08/09 04:45:39 - mmengine - INFO - Epoch(train) [28][300/1879] lr: 2.0000e-03 eta: 10:15:44 time: 0.8477 data_time: 0.0178 memory: 19726 grad_norm: 3.6989 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9267 loss: 0.9267 2022/08/09 04:45:56 - mmengine - INFO - Epoch(train) [28][320/1879] lr: 2.0000e-03 eta: 10:15:26 time: 0.8476 data_time: 0.0182 memory: 19726 grad_norm: 3.6315 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0709 loss: 1.0709 2022/08/09 04:46:13 - mmengine - INFO - Epoch(train) [28][340/1879] lr: 2.0000e-03 eta: 10:15:09 time: 0.8516 data_time: 0.0188 memory: 19726 grad_norm: 3.6494 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9815 loss: 0.9815 2022/08/09 04:46:30 - mmengine - INFO - Epoch(train) [28][360/1879] lr: 2.0000e-03 eta: 10:14:51 time: 0.8491 data_time: 0.0190 memory: 19726 grad_norm: 3.6893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9805 loss: 0.9805 2022/08/09 04:46:47 - mmengine - INFO - Epoch(train) [28][380/1879] lr: 2.0000e-03 eta: 10:14:34 time: 0.8523 data_time: 0.0174 memory: 19726 grad_norm: 3.5323 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9262 loss: 0.9262 2022/08/09 04:47:04 - mmengine - INFO - Epoch(train) [28][400/1879] lr: 2.0000e-03 eta: 10:14:17 time: 0.8479 data_time: 0.0188 memory: 19726 grad_norm: 3.6602 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0013 loss: 1.0013 2022/08/09 04:47:21 - mmengine - INFO - Epoch(train) [28][420/1879] lr: 2.0000e-03 eta: 10:13:59 time: 0.8493 data_time: 0.0193 memory: 19726 grad_norm: 3.5462 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9661 loss: 0.9661 2022/08/09 04:47:38 - mmengine - INFO - Epoch(train) [28][440/1879] lr: 2.0000e-03 eta: 10:13:42 time: 0.8493 data_time: 0.0192 memory: 19726 grad_norm: 3.6110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0799 loss: 1.0799 2022/08/09 04:47:55 - mmengine - INFO - Epoch(train) [28][460/1879] lr: 2.0000e-03 eta: 10:13:25 time: 0.8539 data_time: 0.0195 memory: 19726 grad_norm: 3.5515 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/09 04:48:12 - mmengine - INFO - Epoch(train) [28][480/1879] lr: 2.0000e-03 eta: 10:13:07 time: 0.8543 data_time: 0.0193 memory: 19726 grad_norm: 3.7371 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0571 loss: 1.0571 2022/08/09 04:48:29 - mmengine - INFO - Epoch(train) [28][500/1879] lr: 2.0000e-03 eta: 10:12:50 time: 0.8494 data_time: 0.0187 memory: 19726 grad_norm: 3.6962 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9721 loss: 0.9721 2022/08/09 04:48:46 - mmengine - INFO - Epoch(train) [28][520/1879] lr: 2.0000e-03 eta: 10:12:32 time: 0.8495 data_time: 0.0192 memory: 19726 grad_norm: 3.6415 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8628 loss: 0.8628 2022/08/09 04:49:03 - mmengine - INFO - Epoch(train) [28][540/1879] lr: 2.0000e-03 eta: 10:12:15 time: 0.8491 data_time: 0.0193 memory: 19726 grad_norm: 3.7195 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9570 loss: 0.9570 2022/08/09 04:49:20 - mmengine - INFO - Epoch(train) [28][560/1879] lr: 2.0000e-03 eta: 10:11:58 time: 0.8489 data_time: 0.0188 memory: 19726 grad_norm: 3.5656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9165 loss: 0.9165 2022/08/09 04:49:37 - mmengine - INFO - Epoch(train) [28][580/1879] lr: 2.0000e-03 eta: 10:11:40 time: 0.8510 data_time: 0.0187 memory: 19726 grad_norm: 3.7425 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0821 loss: 1.0821 2022/08/09 04:49:54 - mmengine - INFO - Epoch(train) [28][600/1879] lr: 2.0000e-03 eta: 10:11:23 time: 0.8514 data_time: 0.0188 memory: 19726 grad_norm: 3.6192 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9709 loss: 0.9709 2022/08/09 04:50:11 - mmengine - INFO - Epoch(train) [28][620/1879] lr: 2.0000e-03 eta: 10:11:05 time: 0.8490 data_time: 0.0191 memory: 19726 grad_norm: 3.6539 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8930 loss: 0.8930 2022/08/09 04:50:28 - mmengine - INFO - Epoch(train) [28][640/1879] lr: 2.0000e-03 eta: 10:10:48 time: 0.8532 data_time: 0.0199 memory: 19726 grad_norm: 3.7182 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/08/09 04:50:45 - mmengine - INFO - Epoch(train) [28][660/1879] lr: 2.0000e-03 eta: 10:10:31 time: 0.8599 data_time: 0.0191 memory: 19726 grad_norm: 3.5927 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7922 loss: 0.7922 2022/08/09 04:51:02 - mmengine - INFO - Epoch(train) [28][680/1879] lr: 2.0000e-03 eta: 10:10:14 time: 0.8578 data_time: 0.0199 memory: 19726 grad_norm: 3.8141 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9192 loss: 0.9192 2022/08/09 04:51:19 - mmengine - INFO - Epoch(train) [28][700/1879] lr: 2.0000e-03 eta: 10:09:56 time: 0.8485 data_time: 0.0182 memory: 19726 grad_norm: 3.5922 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9207 loss: 0.9207 2022/08/09 04:51:36 - mmengine - INFO - Epoch(train) [28][720/1879] lr: 2.0000e-03 eta: 10:09:39 time: 0.8549 data_time: 0.0180 memory: 19726 grad_norm: 3.6029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0415 loss: 1.0415 2022/08/09 04:51:53 - mmengine - INFO - Epoch(train) [28][740/1879] lr: 2.0000e-03 eta: 10:09:22 time: 0.8522 data_time: 0.0193 memory: 19726 grad_norm: 3.6643 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8911 loss: 0.8911 2022/08/09 04:52:11 - mmengine - INFO - Epoch(train) [28][760/1879] lr: 2.0000e-03 eta: 10:09:04 time: 0.8571 data_time: 0.0193 memory: 19726 grad_norm: 3.6740 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1085 loss: 1.1085 2022/08/09 04:52:28 - mmengine - INFO - Epoch(train) [28][780/1879] lr: 2.0000e-03 eta: 10:08:47 time: 0.8523 data_time: 0.0199 memory: 19726 grad_norm: 3.6800 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9582 loss: 0.9582 2022/08/09 04:52:45 - mmengine - INFO - Epoch(train) [28][800/1879] lr: 2.0000e-03 eta: 10:08:30 time: 0.8521 data_time: 0.0179 memory: 19726 grad_norm: 3.7292 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9211 loss: 0.9211 2022/08/09 04:53:02 - mmengine - INFO - Epoch(train) [28][820/1879] lr: 2.0000e-03 eta: 10:08:12 time: 0.8546 data_time: 0.0193 memory: 19726 grad_norm: 3.5842 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9721 loss: 0.9721 2022/08/09 04:53:19 - mmengine - INFO - Epoch(train) [28][840/1879] lr: 2.0000e-03 eta: 10:07:55 time: 0.8497 data_time: 0.0182 memory: 19726 grad_norm: 3.7466 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9689 loss: 0.9689 2022/08/09 04:53:36 - mmengine - INFO - Epoch(train) [28][860/1879] lr: 2.0000e-03 eta: 10:07:38 time: 0.8552 data_time: 0.0174 memory: 19726 grad_norm: 3.7029 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9991 loss: 0.9991 2022/08/09 04:53:53 - mmengine - INFO - Epoch(train) [28][880/1879] lr: 2.0000e-03 eta: 10:07:20 time: 0.8518 data_time: 0.0202 memory: 19726 grad_norm: 3.7495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9591 loss: 0.9591 2022/08/09 04:54:10 - mmengine - INFO - Epoch(train) [28][900/1879] lr: 2.0000e-03 eta: 10:07:03 time: 0.8573 data_time: 0.0190 memory: 19726 grad_norm: 3.6917 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9809 loss: 0.9809 2022/08/09 04:54:27 - mmengine - INFO - Epoch(train) [28][920/1879] lr: 2.0000e-03 eta: 10:06:45 time: 0.8506 data_time: 0.0184 memory: 19726 grad_norm: 3.7315 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0800 loss: 1.0800 2022/08/09 04:54:44 - mmengine - INFO - Epoch(train) [28][940/1879] lr: 2.0000e-03 eta: 10:06:28 time: 0.8537 data_time: 0.0202 memory: 19726 grad_norm: 3.6360 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0258 loss: 1.0258 2022/08/09 04:55:01 - mmengine - INFO - Epoch(train) [28][960/1879] lr: 2.0000e-03 eta: 10:06:11 time: 0.8512 data_time: 0.0190 memory: 19726 grad_norm: 3.7153 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8284 loss: 0.8284 2022/08/09 04:55:18 - mmengine - INFO - Epoch(train) [28][980/1879] lr: 2.0000e-03 eta: 10:05:53 time: 0.8505 data_time: 0.0189 memory: 19726 grad_norm: 3.5998 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9849 loss: 0.9849 2022/08/09 04:55:35 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 2.0000e-03 eta: 10:05:36 time: 0.8570 data_time: 0.0196 memory: 19726 grad_norm: 3.5904 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9668 loss: 0.9668 2022/08/09 04:55:52 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 2.0000e-03 eta: 10:05:19 time: 0.8531 data_time: 0.0203 memory: 19726 grad_norm: 3.7090 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9901 loss: 0.9901 2022/08/09 04:56:10 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 2.0000e-03 eta: 10:05:01 time: 0.8513 data_time: 0.0195 memory: 19726 grad_norm: 3.6359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7699 loss: 0.7699 2022/08/09 04:56:26 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 2.0000e-03 eta: 10:04:44 time: 0.8491 data_time: 0.0189 memory: 19726 grad_norm: 3.7114 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9058 loss: 0.9058 2022/08/09 04:56:44 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 2.0000e-03 eta: 10:04:27 time: 0.8581 data_time: 0.0196 memory: 19726 grad_norm: 3.7766 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0434 loss: 1.0434 2022/08/09 04:57:01 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 2.0000e-03 eta: 10:04:09 time: 0.8519 data_time: 0.0189 memory: 19726 grad_norm: 3.6850 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9673 loss: 0.9673 2022/08/09 04:57:18 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 2.0000e-03 eta: 10:03:52 time: 0.8580 data_time: 0.0183 memory: 19726 grad_norm: 3.7876 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0833 loss: 1.0833 2022/08/09 04:57:35 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 2.0000e-03 eta: 10:03:35 time: 0.8492 data_time: 0.0191 memory: 19726 grad_norm: 3.6687 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0302 loss: 1.0302 2022/08/09 04:57:52 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 2.0000e-03 eta: 10:03:18 time: 0.8703 data_time: 0.0201 memory: 19726 grad_norm: 3.6474 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9291 loss: 0.9291 2022/08/09 04:58:09 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 2.0000e-03 eta: 10:03:00 time: 0.8606 data_time: 0.0289 memory: 19726 grad_norm: 3.7629 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9997 loss: 0.9997 2022/08/09 04:58:27 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 2.0000e-03 eta: 10:02:43 time: 0.8587 data_time: 0.0203 memory: 19726 grad_norm: 3.6929 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0317 loss: 1.0317 2022/08/09 04:58:44 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 2.0000e-03 eta: 10:02:26 time: 0.8536 data_time: 0.0194 memory: 19726 grad_norm: 3.7008 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8522 loss: 0.8522 2022/08/09 04:59:01 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 2.0000e-03 eta: 10:02:09 time: 0.8498 data_time: 0.0186 memory: 19726 grad_norm: 3.6851 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9460 loss: 0.9460 2022/08/09 04:59:18 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 2.0000e-03 eta: 10:01:51 time: 0.8606 data_time: 0.0247 memory: 19726 grad_norm: 3.8045 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0268 loss: 1.0268 2022/08/09 04:59:24 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 04:59:35 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 2.0000e-03 eta: 10:01:34 time: 0.8524 data_time: 0.0195 memory: 19726 grad_norm: 3.7723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1412 loss: 1.1412 2022/08/09 04:59:52 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 2.0000e-03 eta: 10:01:17 time: 0.8582 data_time: 0.0202 memory: 19726 grad_norm: 3.7058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1202 loss: 1.1202 2022/08/09 05:00:09 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 2.0000e-03 eta: 10:00:59 time: 0.8506 data_time: 0.0201 memory: 19726 grad_norm: 3.7415 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1249 loss: 1.1249 2022/08/09 05:00:26 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 2.0000e-03 eta: 10:00:42 time: 0.8536 data_time: 0.0197 memory: 19726 grad_norm: 3.8039 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9951 loss: 0.9951 2022/08/09 05:00:43 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 2.0000e-03 eta: 10:00:25 time: 0.8512 data_time: 0.0197 memory: 19726 grad_norm: 3.6634 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8960 loss: 0.8960 2022/08/09 05:01:00 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 2.0000e-03 eta: 10:00:07 time: 0.8490 data_time: 0.0190 memory: 19726 grad_norm: 3.7974 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0815 loss: 1.0815 2022/08/09 05:01:18 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 2.0000e-03 eta: 9:59:50 time: 0.8629 data_time: 0.0246 memory: 19726 grad_norm: 3.7616 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8644 loss: 0.8644 2022/08/09 05:01:35 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 2.0000e-03 eta: 9:59:33 time: 0.8582 data_time: 0.0216 memory: 19726 grad_norm: 3.7423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9444 loss: 0.9444 2022/08/09 05:01:52 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 2.0000e-03 eta: 9:59:15 time: 0.8532 data_time: 0.0195 memory: 19726 grad_norm: 3.7193 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8211 loss: 0.8211 2022/08/09 05:02:09 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 2.0000e-03 eta: 9:58:58 time: 0.8508 data_time: 0.0195 memory: 19726 grad_norm: 3.7878 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0623 loss: 1.0623 2022/08/09 05:02:26 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 2.0000e-03 eta: 9:58:41 time: 0.8566 data_time: 0.0249 memory: 19726 grad_norm: 3.6778 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0436 loss: 1.0436 2022/08/09 05:02:43 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 2.0000e-03 eta: 9:58:24 time: 0.8543 data_time: 0.0203 memory: 19726 grad_norm: 3.7547 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9574 loss: 0.9574 2022/08/09 05:03:00 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 2.0000e-03 eta: 9:58:06 time: 0.8496 data_time: 0.0188 memory: 19726 grad_norm: 3.7918 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0744 loss: 1.0744 2022/08/09 05:03:17 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 2.0000e-03 eta: 9:57:49 time: 0.8523 data_time: 0.0201 memory: 19726 grad_norm: 3.7123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/08/09 05:03:34 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 2.0000e-03 eta: 9:57:31 time: 0.8557 data_time: 0.0187 memory: 19726 grad_norm: 3.7556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0075 loss: 1.0075 2022/08/09 05:03:51 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 2.0000e-03 eta: 9:57:14 time: 0.8538 data_time: 0.0197 memory: 19726 grad_norm: 3.7979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9262 loss: 0.9262 2022/08/09 05:04:08 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 2.0000e-03 eta: 9:56:57 time: 0.8517 data_time: 0.0195 memory: 19726 grad_norm: 3.5806 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8806 loss: 0.8806 2022/08/09 05:04:25 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 2.0000e-03 eta: 9:56:39 time: 0.8533 data_time: 0.0198 memory: 19726 grad_norm: 3.6491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9794 loss: 0.9794 2022/08/09 05:04:43 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 2.0000e-03 eta: 9:56:22 time: 0.8524 data_time: 0.0196 memory: 19726 grad_norm: 3.7132 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0763 loss: 1.0763 2022/08/09 05:05:00 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 2.0000e-03 eta: 9:56:05 time: 0.8559 data_time: 0.0197 memory: 19726 grad_norm: 3.6352 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9658 loss: 0.9658 2022/08/09 05:05:17 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 2.0000e-03 eta: 9:55:48 time: 0.8684 data_time: 0.0205 memory: 19726 grad_norm: 3.6694 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9330 loss: 0.9330 2022/08/09 05:05:34 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 2.0000e-03 eta: 9:55:30 time: 0.8530 data_time: 0.0184 memory: 19726 grad_norm: 3.6333 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9180 loss: 0.9180 2022/08/09 05:05:51 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 2.0000e-03 eta: 9:55:13 time: 0.8506 data_time: 0.0184 memory: 19726 grad_norm: 3.7562 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0279 loss: 1.0279 2022/08/09 05:06:08 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 2.0000e-03 eta: 9:54:56 time: 0.8512 data_time: 0.0185 memory: 19726 grad_norm: 3.6866 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9747 loss: 0.9747 2022/08/09 05:06:25 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 2.0000e-03 eta: 9:54:38 time: 0.8547 data_time: 0.0192 memory: 19726 grad_norm: 3.7342 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1366 loss: 1.1366 2022/08/09 05:06:42 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 2.0000e-03 eta: 9:54:21 time: 0.8538 data_time: 0.0198 memory: 19726 grad_norm: 3.7106 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0484 loss: 1.0484 2022/08/09 05:07:00 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 2.0000e-03 eta: 9:54:04 time: 0.8604 data_time: 0.0250 memory: 19726 grad_norm: 3.6998 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9289 loss: 0.9289 2022/08/09 05:07:17 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 2.0000e-03 eta: 9:53:47 time: 0.8597 data_time: 0.0249 memory: 19726 grad_norm: 3.5653 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9009 loss: 0.9009 2022/08/09 05:07:34 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 2.0000e-03 eta: 9:53:29 time: 0.8521 data_time: 0.0194 memory: 19726 grad_norm: 3.6440 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/08/09 05:07:51 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 2.0000e-03 eta: 9:53:12 time: 0.8517 data_time: 0.0201 memory: 19726 grad_norm: 3.5861 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9666 loss: 0.9666 2022/08/09 05:08:07 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 05:08:07 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 2.0000e-03 eta: 9:53:12 time: 0.8305 data_time: 0.0184 memory: 19726 grad_norm: 3.7212 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/08/09 05:08:22 - mmengine - INFO - Epoch(val) [28][20/155] eta: 0:01:44 time: 0.7715 data_time: 0.5296 memory: 2699 2022/08/09 05:08:32 - mmengine - INFO - Epoch(val) [28][40/155] eta: 0:00:58 time: 0.5093 data_time: 0.2697 memory: 2699 2022/08/09 05:08:45 - mmengine - INFO - Epoch(val) [28][60/155] eta: 0:01:01 time: 0.6437 data_time: 0.4055 memory: 2699 2022/08/09 05:08:55 - mmengine - INFO - Epoch(val) [28][80/155] eta: 0:00:38 time: 0.5097 data_time: 0.2713 memory: 2699 2022/08/09 05:09:09 - mmengine - INFO - Epoch(val) [28][100/155] eta: 0:00:36 time: 0.6635 data_time: 0.4252 memory: 2699 2022/08/09 05:09:18 - mmengine - INFO - Epoch(val) [28][120/155] eta: 0:00:16 time: 0.4857 data_time: 0.2474 memory: 2699 2022/08/09 05:09:31 - mmengine - INFO - Epoch(val) [28][140/155] eta: 0:00:09 time: 0.6415 data_time: 0.4034 memory: 2699 2022/08/09 05:09:40 - mmengine - INFO - Epoch(val) [28][155/155] acc/top1: 0.7161 acc/top5: 0.9010 acc/mean1: 0.7160 2022/08/09 05:09:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_28.pth is removed 2022/08/09 05:09:42 - mmengine - INFO - The best checkpoint with 0.7161 acc/top1 at 29 epoch is saved to best_acc/top1_epoch_29.pth. 2022/08/09 05:10:04 - mmengine - INFO - Epoch(train) [29][20/1879] lr: 2.0000e-03 eta: 9:52:29 time: 1.0953 data_time: 0.2547 memory: 19726 grad_norm: 3.6487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0184 loss: 1.0184 2022/08/09 05:10:21 - mmengine - INFO - Epoch(train) [29][40/1879] lr: 2.0000e-03 eta: 9:52:12 time: 0.8507 data_time: 0.0196 memory: 19726 grad_norm: 3.7177 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0550 loss: 1.0550 2022/08/09 05:10:38 - mmengine - INFO - Epoch(train) [29][60/1879] lr: 2.0000e-03 eta: 9:51:55 time: 0.8549 data_time: 0.0199 memory: 19726 grad_norm: 3.6958 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9666 loss: 0.9666 2022/08/09 05:10:55 - mmengine - INFO - Epoch(train) [29][80/1879] lr: 2.0000e-03 eta: 9:51:37 time: 0.8485 data_time: 0.0195 memory: 19726 grad_norm: 3.6030 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0724 loss: 1.0724 2022/08/09 05:11:12 - mmengine - INFO - Epoch(train) [29][100/1879] lr: 2.0000e-03 eta: 9:51:20 time: 0.8486 data_time: 0.0183 memory: 19726 grad_norm: 3.6936 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0947 loss: 1.0947 2022/08/09 05:11:29 - mmengine - INFO - Epoch(train) [29][120/1879] lr: 2.0000e-03 eta: 9:51:02 time: 0.8498 data_time: 0.0182 memory: 19726 grad_norm: 3.7561 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/08/09 05:11:46 - mmengine - INFO - Epoch(train) [29][140/1879] lr: 2.0000e-03 eta: 9:50:45 time: 0.8539 data_time: 0.0181 memory: 19726 grad_norm: 3.7314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0177 loss: 1.0177 2022/08/09 05:12:03 - mmengine - INFO - Epoch(train) [29][160/1879] lr: 2.0000e-03 eta: 9:50:28 time: 0.8537 data_time: 0.0208 memory: 19726 grad_norm: 3.6885 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0134 loss: 1.0134 2022/08/09 05:12:20 - mmengine - INFO - Epoch(train) [29][180/1879] lr: 2.0000e-03 eta: 9:50:10 time: 0.8497 data_time: 0.0183 memory: 19726 grad_norm: 3.5623 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9407 loss: 0.9407 2022/08/09 05:12:37 - mmengine - INFO - Epoch(train) [29][200/1879] lr: 2.0000e-03 eta: 9:49:53 time: 0.8574 data_time: 0.0188 memory: 19726 grad_norm: 3.5720 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8942 loss: 0.8942 2022/08/09 05:12:54 - mmengine - INFO - Epoch(train) [29][220/1879] lr: 2.0000e-03 eta: 9:49:36 time: 0.8597 data_time: 0.0217 memory: 19726 grad_norm: 3.6745 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9368 loss: 0.9368 2022/08/09 05:13:11 - mmengine - INFO - Epoch(train) [29][240/1879] lr: 2.0000e-03 eta: 9:49:19 time: 0.8518 data_time: 0.0193 memory: 19726 grad_norm: 3.6871 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9285 loss: 0.9285 2022/08/09 05:13:28 - mmengine - INFO - Epoch(train) [29][260/1879] lr: 2.0000e-03 eta: 9:49:01 time: 0.8564 data_time: 0.0192 memory: 19726 grad_norm: 3.8194 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8645 loss: 0.8645 2022/08/09 05:13:46 - mmengine - INFO - Epoch(train) [29][280/1879] lr: 2.0000e-03 eta: 9:48:44 time: 0.8511 data_time: 0.0189 memory: 19726 grad_norm: 3.6357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8416 loss: 0.8416 2022/08/09 05:14:03 - mmengine - INFO - Epoch(train) [29][300/1879] lr: 2.0000e-03 eta: 9:48:27 time: 0.8543 data_time: 0.0186 memory: 19726 grad_norm: 3.7470 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9711 loss: 0.9711 2022/08/09 05:14:20 - mmengine - INFO - Epoch(train) [29][320/1879] lr: 2.0000e-03 eta: 9:48:09 time: 0.8497 data_time: 0.0187 memory: 19726 grad_norm: 3.5743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0961 loss: 1.0961 2022/08/09 05:14:37 - mmengine - INFO - Epoch(train) [29][340/1879] lr: 2.0000e-03 eta: 9:47:52 time: 0.8510 data_time: 0.0187 memory: 19726 grad_norm: 3.6313 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8046 loss: 0.8046 2022/08/09 05:14:54 - mmengine - INFO - Epoch(train) [29][360/1879] lr: 2.0000e-03 eta: 9:47:35 time: 0.8532 data_time: 0.0194 memory: 19726 grad_norm: 3.6493 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0399 loss: 1.0399 2022/08/09 05:15:11 - mmengine - INFO - Epoch(train) [29][380/1879] lr: 2.0000e-03 eta: 9:47:17 time: 0.8597 data_time: 0.0214 memory: 19726 grad_norm: 3.7165 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9177 loss: 0.9177 2022/08/09 05:15:18 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 05:15:29 - mmengine - INFO - Epoch(train) [29][400/1879] lr: 2.0000e-03 eta: 9:47:00 time: 0.8799 data_time: 0.0201 memory: 19726 grad_norm: 3.6165 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0614 loss: 1.0614 2022/08/09 05:15:46 - mmengine - INFO - Epoch(train) [29][420/1879] lr: 2.0000e-03 eta: 9:46:43 time: 0.8538 data_time: 0.0193 memory: 19726 grad_norm: 3.7939 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9452 loss: 0.9452 2022/08/09 05:16:03 - mmengine - INFO - Epoch(train) [29][440/1879] lr: 2.0000e-03 eta: 9:46:26 time: 0.8542 data_time: 0.0187 memory: 19726 grad_norm: 3.5945 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8069 loss: 0.8069 2022/08/09 05:16:20 - mmengine - INFO - Epoch(train) [29][460/1879] lr: 2.0000e-03 eta: 9:46:09 time: 0.8520 data_time: 0.0190 memory: 19726 grad_norm: 3.7874 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9311 loss: 0.9311 2022/08/09 05:16:37 - mmengine - INFO - Epoch(train) [29][480/1879] lr: 2.0000e-03 eta: 9:45:51 time: 0.8517 data_time: 0.0193 memory: 19726 grad_norm: 3.6599 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0180 loss: 1.0180 2022/08/09 05:16:54 - mmengine - INFO - Epoch(train) [29][500/1879] lr: 2.0000e-03 eta: 9:45:34 time: 0.8559 data_time: 0.0192 memory: 19726 grad_norm: 3.7025 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0666 loss: 1.0666 2022/08/09 05:17:11 - mmengine - INFO - Epoch(train) [29][520/1879] lr: 2.0000e-03 eta: 9:45:17 time: 0.8507 data_time: 0.0188 memory: 19726 grad_norm: 3.6644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9406 loss: 0.9406 2022/08/09 05:17:28 - mmengine - INFO - Epoch(train) [29][540/1879] lr: 2.0000e-03 eta: 9:44:59 time: 0.8520 data_time: 0.0189 memory: 19726 grad_norm: 3.6876 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0091 loss: 1.0091 2022/08/09 05:17:45 - mmengine - INFO - Epoch(train) [29][560/1879] lr: 2.0000e-03 eta: 9:44:42 time: 0.8529 data_time: 0.0187 memory: 19726 grad_norm: 3.8379 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9461 loss: 0.9461 2022/08/09 05:18:02 - mmengine - INFO - Epoch(train) [29][580/1879] lr: 2.0000e-03 eta: 9:44:25 time: 0.8713 data_time: 0.0377 memory: 19726 grad_norm: 3.6530 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8033 loss: 0.8033 2022/08/09 05:18:19 - mmengine - INFO - Epoch(train) [29][600/1879] lr: 2.0000e-03 eta: 9:44:08 time: 0.8509 data_time: 0.0198 memory: 19726 grad_norm: 3.6825 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8662 loss: 0.8662 2022/08/09 05:18:37 - mmengine - INFO - Epoch(train) [29][620/1879] lr: 2.0000e-03 eta: 9:43:50 time: 0.8544 data_time: 0.0189 memory: 19726 grad_norm: 3.6854 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9706 loss: 0.9706 2022/08/09 05:18:54 - mmengine - INFO - Epoch(train) [29][640/1879] lr: 2.0000e-03 eta: 9:43:33 time: 0.8577 data_time: 0.0259 memory: 19726 grad_norm: 3.8032 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1643 loss: 1.1643 2022/08/09 05:19:11 - mmengine - INFO - Epoch(train) [29][660/1879] lr: 2.0000e-03 eta: 9:43:16 time: 0.8580 data_time: 0.0200 memory: 19726 grad_norm: 3.7957 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0086 loss: 1.0086 2022/08/09 05:19:28 - mmengine - INFO - Epoch(train) [29][680/1879] lr: 2.0000e-03 eta: 9:42:58 time: 0.8506 data_time: 0.0194 memory: 19726 grad_norm: 3.6586 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7962 loss: 0.7962 2022/08/09 05:19:45 - mmengine - INFO - Epoch(train) [29][700/1879] lr: 2.0000e-03 eta: 9:42:41 time: 0.8540 data_time: 0.0195 memory: 19726 grad_norm: 3.6435 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9236 loss: 0.9236 2022/08/09 05:20:02 - mmengine - INFO - Epoch(train) [29][720/1879] lr: 2.0000e-03 eta: 9:42:24 time: 0.8506 data_time: 0.0198 memory: 19726 grad_norm: 3.7013 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9699 loss: 0.9699 2022/08/09 05:20:19 - mmengine - INFO - Epoch(train) [29][740/1879] lr: 2.0000e-03 eta: 9:42:07 time: 0.8667 data_time: 0.0250 memory: 19726 grad_norm: 3.6611 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9127 loss: 0.9127 2022/08/09 05:20:36 - mmengine - INFO - Epoch(train) [29][760/1879] lr: 2.0000e-03 eta: 9:41:49 time: 0.8518 data_time: 0.0168 memory: 19726 grad_norm: 3.8187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9735 loss: 0.9735 2022/08/09 05:20:54 - mmengine - INFO - Epoch(train) [29][780/1879] lr: 2.0000e-03 eta: 9:41:32 time: 0.8591 data_time: 0.0196 memory: 19726 grad_norm: 3.6497 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8529 loss: 0.8529 2022/08/09 05:21:11 - mmengine - INFO - Epoch(train) [29][800/1879] lr: 2.0000e-03 eta: 9:41:15 time: 0.8488 data_time: 0.0181 memory: 19726 grad_norm: 3.7830 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9829 loss: 0.9829 2022/08/09 05:21:28 - mmengine - INFO - Epoch(train) [29][820/1879] lr: 2.0000e-03 eta: 9:40:57 time: 0.8539 data_time: 0.0192 memory: 19726 grad_norm: 3.8445 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0134 loss: 1.0134 2022/08/09 05:21:45 - mmengine - INFO - Epoch(train) [29][840/1879] lr: 2.0000e-03 eta: 9:40:40 time: 0.8515 data_time: 0.0185 memory: 19726 grad_norm: 3.7507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9306 loss: 0.9306 2022/08/09 05:22:02 - mmengine - INFO - Epoch(train) [29][860/1879] lr: 2.0000e-03 eta: 9:40:23 time: 0.8528 data_time: 0.0182 memory: 19726 grad_norm: 3.7512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9409 loss: 0.9409 2022/08/09 05:22:19 - mmengine - INFO - Epoch(train) [29][880/1879] lr: 2.0000e-03 eta: 9:40:05 time: 0.8562 data_time: 0.0191 memory: 19726 grad_norm: 3.7132 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0898 loss: 1.0898 2022/08/09 05:22:36 - mmengine - INFO - Epoch(train) [29][900/1879] lr: 2.0000e-03 eta: 9:39:48 time: 0.8599 data_time: 0.0208 memory: 19726 grad_norm: 3.7209 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0713 loss: 1.0713 2022/08/09 05:22:54 - mmengine - INFO - Epoch(train) [29][920/1879] lr: 2.0000e-03 eta: 9:39:31 time: 0.8690 data_time: 0.0303 memory: 19726 grad_norm: 3.6926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8424 loss: 0.8424 2022/08/09 05:23:11 - mmengine - INFO - Epoch(train) [29][940/1879] lr: 2.0000e-03 eta: 9:39:14 time: 0.8523 data_time: 0.0197 memory: 19726 grad_norm: 3.7186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8720 loss: 0.8720 2022/08/09 05:23:28 - mmengine - INFO - Epoch(train) [29][960/1879] lr: 2.0000e-03 eta: 9:38:57 time: 0.8574 data_time: 0.0187 memory: 19726 grad_norm: 3.6837 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0139 loss: 1.0139 2022/08/09 05:23:45 - mmengine - INFO - Epoch(train) [29][980/1879] lr: 2.0000e-03 eta: 9:38:39 time: 0.8514 data_time: 0.0189 memory: 19726 grad_norm: 3.8663 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9831 loss: 0.9831 2022/08/09 05:24:02 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 2.0000e-03 eta: 9:38:22 time: 0.8483 data_time: 0.0184 memory: 19726 grad_norm: 3.6915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9033 loss: 0.9033 2022/08/09 05:24:19 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 2.0000e-03 eta: 9:38:05 time: 0.8599 data_time: 0.0199 memory: 19726 grad_norm: 3.8378 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8861 loss: 0.8861 2022/08/09 05:24:36 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 2.0000e-03 eta: 9:37:47 time: 0.8529 data_time: 0.0193 memory: 19726 grad_norm: 3.7408 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9204 loss: 0.9204 2022/08/09 05:24:53 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 2.0000e-03 eta: 9:37:30 time: 0.8548 data_time: 0.0183 memory: 19726 grad_norm: 3.7311 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8605 loss: 0.8605 2022/08/09 05:25:10 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 2.0000e-03 eta: 9:37:13 time: 0.8495 data_time: 0.0186 memory: 19726 grad_norm: 3.8241 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8874 loss: 0.8874 2022/08/09 05:25:27 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 2.0000e-03 eta: 9:36:55 time: 0.8613 data_time: 0.0193 memory: 19726 grad_norm: 3.6163 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9169 loss: 0.9169 2022/08/09 05:25:44 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 2.0000e-03 eta: 9:36:38 time: 0.8549 data_time: 0.0195 memory: 19726 grad_norm: 3.7510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/08/09 05:26:01 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 2.0000e-03 eta: 9:36:21 time: 0.8522 data_time: 0.0198 memory: 19726 grad_norm: 3.8535 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0717 loss: 1.0717 2022/08/09 05:26:18 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 2.0000e-03 eta: 9:36:04 time: 0.8493 data_time: 0.0180 memory: 19726 grad_norm: 3.7374 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9846 loss: 0.9846 2022/08/09 05:26:36 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 2.0000e-03 eta: 9:35:46 time: 0.8522 data_time: 0.0198 memory: 19726 grad_norm: 3.7324 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8108 loss: 0.8108 2022/08/09 05:26:53 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 2.0000e-03 eta: 9:35:29 time: 0.8498 data_time: 0.0181 memory: 19726 grad_norm: 3.7504 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9413 loss: 0.9413 2022/08/09 05:27:10 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 2.0000e-03 eta: 9:35:11 time: 0.8518 data_time: 0.0196 memory: 19726 grad_norm: 3.7274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9780 loss: 0.9780 2022/08/09 05:27:27 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 2.0000e-03 eta: 9:34:54 time: 0.8550 data_time: 0.0205 memory: 19726 grad_norm: 3.7635 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/08/09 05:27:44 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 2.0000e-03 eta: 9:34:37 time: 0.8494 data_time: 0.0194 memory: 19726 grad_norm: 3.8780 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1885 loss: 1.1885 2022/08/09 05:28:01 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 2.0000e-03 eta: 9:34:20 time: 0.8580 data_time: 0.0186 memory: 19726 grad_norm: 3.7668 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/09 05:28:18 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 2.0000e-03 eta: 9:34:02 time: 0.8515 data_time: 0.0186 memory: 19726 grad_norm: 3.8471 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9902 loss: 0.9902 2022/08/09 05:28:35 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 2.0000e-03 eta: 9:33:45 time: 0.8550 data_time: 0.0188 memory: 19726 grad_norm: 3.6616 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/08/09 05:28:52 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 2.0000e-03 eta: 9:33:28 time: 0.8520 data_time: 0.0182 memory: 19726 grad_norm: 3.7505 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1053 loss: 1.1053 2022/08/09 05:29:09 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 2.0000e-03 eta: 9:33:10 time: 0.8550 data_time: 0.0185 memory: 19726 grad_norm: 3.8331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0668 loss: 1.0668 2022/08/09 05:29:26 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 2.0000e-03 eta: 9:32:53 time: 0.8531 data_time: 0.0189 memory: 19726 grad_norm: 3.7516 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8557 loss: 0.8557 2022/08/09 05:29:33 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 05:29:43 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 2.0000e-03 eta: 9:32:36 time: 0.8491 data_time: 0.0179 memory: 19726 grad_norm: 3.7080 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9640 loss: 0.9640 2022/08/09 05:30:00 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 2.0000e-03 eta: 9:32:18 time: 0.8544 data_time: 0.0181 memory: 19726 grad_norm: 3.7748 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9747 loss: 0.9747 2022/08/09 05:30:18 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 2.0000e-03 eta: 9:32:01 time: 0.8726 data_time: 0.0272 memory: 19726 grad_norm: 3.7846 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0278 loss: 1.0278 2022/08/09 05:30:35 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 2.0000e-03 eta: 9:31:44 time: 0.8578 data_time: 0.0195 memory: 19726 grad_norm: 3.6495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9683 loss: 0.9683 2022/08/09 05:30:52 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 2.0000e-03 eta: 9:31:27 time: 0.8523 data_time: 0.0195 memory: 19726 grad_norm: 3.7053 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8670 loss: 0.8670 2022/08/09 05:31:09 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 2.0000e-03 eta: 9:31:09 time: 0.8507 data_time: 0.0190 memory: 19726 grad_norm: 3.6640 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8887 loss: 0.8887 2022/08/09 05:31:26 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 2.0000e-03 eta: 9:30:52 time: 0.8544 data_time: 0.0184 memory: 19726 grad_norm: 3.6767 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9483 loss: 0.9483 2022/08/09 05:31:43 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 2.0000e-03 eta: 9:30:35 time: 0.8496 data_time: 0.0171 memory: 19726 grad_norm: 3.8019 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9368 loss: 0.9368 2022/08/09 05:32:00 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 2.0000e-03 eta: 9:30:18 time: 0.8522 data_time: 0.0188 memory: 19726 grad_norm: 3.7110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8437 loss: 0.8437 2022/08/09 05:32:17 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 2.0000e-03 eta: 9:30:00 time: 0.8572 data_time: 0.0199 memory: 19726 grad_norm: 3.7306 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9211 loss: 0.9211 2022/08/09 05:32:34 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 2.0000e-03 eta: 9:29:43 time: 0.8503 data_time: 0.0193 memory: 19726 grad_norm: 3.7205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0561 loss: 1.0561 2022/08/09 05:32:51 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 2.0000e-03 eta: 9:29:26 time: 0.8574 data_time: 0.0179 memory: 19726 grad_norm: 3.8282 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0072 loss: 1.0072 2022/08/09 05:33:08 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 2.0000e-03 eta: 9:29:08 time: 0.8514 data_time: 0.0176 memory: 19726 grad_norm: 3.7893 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9324 loss: 0.9324 2022/08/09 05:33:26 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 2.0000e-03 eta: 9:28:51 time: 0.8612 data_time: 0.0245 memory: 19726 grad_norm: 3.7375 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8363 loss: 0.8363 2022/08/09 05:33:43 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 2.0000e-03 eta: 9:28:34 time: 0.8503 data_time: 0.0184 memory: 19726 grad_norm: 3.6631 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8977 loss: 0.8977 2022/08/09 05:34:00 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 2.0000e-03 eta: 9:28:16 time: 0.8534 data_time: 0.0176 memory: 19726 grad_norm: 3.7022 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0411 loss: 1.0411 2022/08/09 05:34:17 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 2.0000e-03 eta: 9:27:59 time: 0.8503 data_time: 0.0198 memory: 19726 grad_norm: 3.7891 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0890 loss: 1.0890 2022/08/09 05:34:34 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 2.0000e-03 eta: 9:27:42 time: 0.8512 data_time: 0.0193 memory: 19726 grad_norm: 3.8311 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0678 loss: 1.0678 2022/08/09 05:34:51 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 2.0000e-03 eta: 9:27:24 time: 0.8513 data_time: 0.0186 memory: 19726 grad_norm: 3.7216 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9509 loss: 0.9509 2022/08/09 05:35:08 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 2.0000e-03 eta: 9:27:07 time: 0.8611 data_time: 0.0205 memory: 19726 grad_norm: 3.7564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9494 loss: 0.9494 2022/08/09 05:35:26 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 2.0000e-03 eta: 9:26:50 time: 0.8703 data_time: 0.0237 memory: 19726 grad_norm: 3.7115 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8511 loss: 0.8511 2022/08/09 05:35:42 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 2.0000e-03 eta: 9:26:33 time: 0.8489 data_time: 0.0185 memory: 19726 grad_norm: 3.7601 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1114 loss: 1.1114 2022/08/09 05:35:59 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 2.0000e-03 eta: 9:26:15 time: 0.8487 data_time: 0.0184 memory: 19726 grad_norm: 3.7750 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0592 loss: 1.0592 2022/08/09 05:36:17 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 2.0000e-03 eta: 9:25:58 time: 0.8571 data_time: 0.0208 memory: 19726 grad_norm: 3.6537 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8626 loss: 0.8626 2022/08/09 05:36:32 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 05:36:32 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 2.0000e-03 eta: 9:25:58 time: 0.8299 data_time: 0.0230 memory: 19726 grad_norm: 3.9017 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0391 loss: 1.0391 2022/08/09 05:36:50 - mmengine - INFO - Epoch(val) [29][20/155] eta: 0:02:00 time: 0.8894 data_time: 0.6445 memory: 2699 2022/08/09 05:36:59 - mmengine - INFO - Epoch(val) [29][40/155] eta: 0:00:49 time: 0.4319 data_time: 0.1922 memory: 2699 2022/08/09 05:37:12 - mmengine - INFO - Epoch(val) [29][60/155] eta: 0:01:01 time: 0.6459 data_time: 0.4067 memory: 2699 2022/08/09 05:37:24 - mmengine - INFO - Epoch(val) [29][80/155] eta: 0:00:46 time: 0.6266 data_time: 0.3829 memory: 2699 2022/08/09 05:37:34 - mmengine - INFO - Epoch(val) [29][100/155] eta: 0:00:26 time: 0.4846 data_time: 0.2471 memory: 2699 2022/08/09 05:37:48 - mmengine - INFO - Epoch(val) [29][120/155] eta: 0:00:24 time: 0.7117 data_time: 0.4726 memory: 2699 2022/08/09 05:37:57 - mmengine - INFO - Epoch(val) [29][140/155] eta: 0:00:06 time: 0.4386 data_time: 0.2021 memory: 2699 2022/08/09 05:38:06 - mmengine - INFO - Epoch(val) [29][155/155] acc/top1: 0.7158 acc/top5: 0.9022 acc/mean1: 0.7158 2022/08/09 05:38:28 - mmengine - INFO - Epoch(train) [30][20/1879] lr: 2.0000e-03 eta: 9:25:17 time: 1.1151 data_time: 0.2266 memory: 19726 grad_norm: 3.7136 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9602 loss: 0.9602 2022/08/09 05:38:45 - mmengine - INFO - Epoch(train) [30][40/1879] lr: 2.0000e-03 eta: 9:24:59 time: 0.8532 data_time: 0.0173 memory: 19726 grad_norm: 3.6926 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9355 loss: 0.9355 2022/08/09 05:39:02 - mmengine - INFO - Epoch(train) [30][60/1879] lr: 2.0000e-03 eta: 9:24:42 time: 0.8488 data_time: 0.0198 memory: 19726 grad_norm: 3.7166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0538 loss: 1.0538 2022/08/09 05:39:19 - mmengine - INFO - Epoch(train) [30][80/1879] lr: 2.0000e-03 eta: 9:24:24 time: 0.8466 data_time: 0.0191 memory: 19726 grad_norm: 3.7205 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9889 loss: 0.9889 2022/08/09 05:39:36 - mmengine - INFO - Epoch(train) [30][100/1879] lr: 2.0000e-03 eta: 9:24:07 time: 0.8515 data_time: 0.0194 memory: 19726 grad_norm: 3.6547 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0669 loss: 1.0669 2022/08/09 05:39:53 - mmengine - INFO - Epoch(train) [30][120/1879] lr: 2.0000e-03 eta: 9:23:50 time: 0.8512 data_time: 0.0194 memory: 19726 grad_norm: 3.8322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8675 loss: 0.8675 2022/08/09 05:40:10 - mmengine - INFO - Epoch(train) [30][140/1879] lr: 2.0000e-03 eta: 9:23:33 time: 0.8536 data_time: 0.0197 memory: 19726 grad_norm: 3.6687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7881 loss: 0.7881 2022/08/09 05:40:27 - mmengine - INFO - Epoch(train) [30][160/1879] lr: 2.0000e-03 eta: 9:23:15 time: 0.8539 data_time: 0.0191 memory: 19726 grad_norm: 3.5821 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8264 loss: 0.8264 2022/08/09 05:40:44 - mmengine - INFO - Epoch(train) [30][180/1879] lr: 2.0000e-03 eta: 9:22:58 time: 0.8504 data_time: 0.0186 memory: 19726 grad_norm: 3.6105 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8793 loss: 0.8793 2022/08/09 05:41:01 - mmengine - INFO - Epoch(train) [30][200/1879] lr: 2.0000e-03 eta: 9:22:41 time: 0.8548 data_time: 0.0186 memory: 19726 grad_norm: 3.8296 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9840 loss: 0.9840 2022/08/09 05:41:18 - mmengine - INFO - Epoch(train) [30][220/1879] lr: 2.0000e-03 eta: 9:22:23 time: 0.8536 data_time: 0.0198 memory: 19726 grad_norm: 3.6788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0052 loss: 1.0052 2022/08/09 05:41:35 - mmengine - INFO - Epoch(train) [30][240/1879] lr: 2.0000e-03 eta: 9:22:06 time: 0.8545 data_time: 0.0183 memory: 19726 grad_norm: 3.7774 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0089 loss: 1.0089 2022/08/09 05:41:53 - mmengine - INFO - Epoch(train) [30][260/1879] lr: 2.0000e-03 eta: 9:21:49 time: 0.8517 data_time: 0.0199 memory: 19726 grad_norm: 3.7638 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8493 loss: 0.8493 2022/08/09 05:42:10 - mmengine - INFO - Epoch(train) [30][280/1879] lr: 2.0000e-03 eta: 9:21:32 time: 0.8576 data_time: 0.0194 memory: 19726 grad_norm: 3.7156 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9960 loss: 0.9960 2022/08/09 05:42:27 - mmengine - INFO - Epoch(train) [30][300/1879] lr: 2.0000e-03 eta: 9:21:14 time: 0.8498 data_time: 0.0198 memory: 19726 grad_norm: 3.8068 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0288 loss: 1.0288 2022/08/09 05:42:44 - mmengine - INFO - Epoch(train) [30][320/1879] lr: 2.0000e-03 eta: 9:20:57 time: 0.8494 data_time: 0.0183 memory: 19726 grad_norm: 3.8368 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9320 loss: 0.9320 2022/08/09 05:43:01 - mmengine - INFO - Epoch(train) [30][340/1879] lr: 2.0000e-03 eta: 9:20:40 time: 0.8572 data_time: 0.0192 memory: 19726 grad_norm: 3.9045 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0401 loss: 1.0401 2022/08/09 05:43:18 - mmengine - INFO - Epoch(train) [30][360/1879] lr: 2.0000e-03 eta: 9:20:22 time: 0.8562 data_time: 0.0210 memory: 19726 grad_norm: 3.7677 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/08/09 05:43:35 - mmengine - INFO - Epoch(train) [30][380/1879] lr: 2.0000e-03 eta: 9:20:05 time: 0.8557 data_time: 0.0191 memory: 19726 grad_norm: 3.8754 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0920 loss: 1.0920 2022/08/09 05:43:52 - mmengine - INFO - Epoch(train) [30][400/1879] lr: 2.0000e-03 eta: 9:19:48 time: 0.8550 data_time: 0.0188 memory: 19726 grad_norm: 3.7379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9739 loss: 0.9739 2022/08/09 05:44:09 - mmengine - INFO - Epoch(train) [30][420/1879] lr: 2.0000e-03 eta: 9:19:30 time: 0.8507 data_time: 0.0188 memory: 19726 grad_norm: 3.8750 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9813 loss: 0.9813 2022/08/09 05:44:26 - mmengine - INFO - Epoch(train) [30][440/1879] lr: 2.0000e-03 eta: 9:19:13 time: 0.8577 data_time: 0.0187 memory: 19726 grad_norm: 3.7605 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8750 loss: 0.8750 2022/08/09 05:44:43 - mmengine - INFO - Epoch(train) [30][460/1879] lr: 2.0000e-03 eta: 9:18:56 time: 0.8487 data_time: 0.0181 memory: 19726 grad_norm: 3.8144 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9776 loss: 0.9776 2022/08/09 05:45:00 - mmengine - INFO - Epoch(train) [30][480/1879] lr: 2.0000e-03 eta: 9:18:39 time: 0.8496 data_time: 0.0174 memory: 19726 grad_norm: 3.7241 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9910 loss: 0.9910 2022/08/09 05:45:18 - mmengine - INFO - Epoch(train) [30][500/1879] lr: 2.0000e-03 eta: 9:18:21 time: 0.8658 data_time: 0.0235 memory: 19726 grad_norm: 3.8251 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8835 loss: 0.8835 2022/08/09 05:45:25 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 05:45:35 - mmengine - INFO - Epoch(train) [30][520/1879] lr: 2.0000e-03 eta: 9:18:04 time: 0.8521 data_time: 0.0188 memory: 19726 grad_norm: 3.8002 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9958 loss: 0.9958 2022/08/09 05:45:52 - mmengine - INFO - Epoch(train) [30][540/1879] lr: 2.0000e-03 eta: 9:17:47 time: 0.8544 data_time: 0.0205 memory: 19726 grad_norm: 3.6396 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9777 loss: 0.9777 2022/08/09 05:46:09 - mmengine - INFO - Epoch(train) [30][560/1879] lr: 2.0000e-03 eta: 9:17:30 time: 0.8633 data_time: 0.0275 memory: 19726 grad_norm: 3.6946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9808 loss: 0.9808 2022/08/09 05:46:26 - mmengine - INFO - Epoch(train) [30][580/1879] lr: 2.0000e-03 eta: 9:17:12 time: 0.8556 data_time: 0.0202 memory: 19726 grad_norm: 3.7149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8347 loss: 0.8347 2022/08/09 05:46:43 - mmengine - INFO - Epoch(train) [30][600/1879] lr: 2.0000e-03 eta: 9:16:55 time: 0.8538 data_time: 0.0199 memory: 19726 grad_norm: 3.8033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9015 loss: 0.9015 2022/08/09 05:47:00 - mmengine - INFO - Epoch(train) [30][620/1879] lr: 2.0000e-03 eta: 9:16:38 time: 0.8501 data_time: 0.0186 memory: 19726 grad_norm: 3.7758 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9466 loss: 0.9466 2022/08/09 05:47:17 - mmengine - INFO - Epoch(train) [30][640/1879] lr: 2.0000e-03 eta: 9:16:21 time: 0.8583 data_time: 0.0185 memory: 19726 grad_norm: 3.7588 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9980 loss: 0.9980 2022/08/09 05:47:35 - mmengine - INFO - Epoch(train) [30][660/1879] lr: 2.0000e-03 eta: 9:16:03 time: 0.8518 data_time: 0.0185 memory: 19726 grad_norm: 3.7369 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9687 loss: 0.9687 2022/08/09 05:47:52 - mmengine - INFO - Epoch(train) [30][680/1879] lr: 2.0000e-03 eta: 9:15:46 time: 0.8511 data_time: 0.0191 memory: 19726 grad_norm: 3.7547 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0018 loss: 1.0018 2022/08/09 05:48:09 - mmengine - INFO - Epoch(train) [30][700/1879] lr: 2.0000e-03 eta: 9:15:29 time: 0.8547 data_time: 0.0195 memory: 19726 grad_norm: 3.7609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0010 loss: 1.0010 2022/08/09 05:48:26 - mmengine - INFO - Epoch(train) [30][720/1879] lr: 2.0000e-03 eta: 9:15:11 time: 0.8503 data_time: 0.0194 memory: 19726 grad_norm: 3.8321 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8763 loss: 0.8763 2022/08/09 05:48:43 - mmengine - INFO - Epoch(train) [30][740/1879] lr: 2.0000e-03 eta: 9:14:54 time: 0.8536 data_time: 0.0201 memory: 19726 grad_norm: 3.8198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9750 loss: 0.9750 2022/08/09 05:49:00 - mmengine - INFO - Epoch(train) [30][760/1879] lr: 2.0000e-03 eta: 9:14:37 time: 0.8517 data_time: 0.0194 memory: 19726 grad_norm: 3.8042 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8885 loss: 0.8885 2022/08/09 05:49:17 - mmengine - INFO - Epoch(train) [30][780/1879] lr: 2.0000e-03 eta: 9:14:19 time: 0.8517 data_time: 0.0188 memory: 19726 grad_norm: 3.8146 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9952 loss: 0.9952 2022/08/09 05:49:34 - mmengine - INFO - Epoch(train) [30][800/1879] lr: 2.0000e-03 eta: 9:14:02 time: 0.8505 data_time: 0.0181 memory: 19726 grad_norm: 3.8441 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0860 loss: 1.0860 2022/08/09 05:49:51 - mmengine - INFO - Epoch(train) [30][820/1879] lr: 2.0000e-03 eta: 9:13:45 time: 0.8503 data_time: 0.0182 memory: 19726 grad_norm: 3.7176 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8781 loss: 0.8781 2022/08/09 05:50:08 - mmengine - INFO - Epoch(train) [30][840/1879] lr: 2.0000e-03 eta: 9:13:28 time: 0.8676 data_time: 0.0205 memory: 19726 grad_norm: 3.6376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9515 loss: 0.9515 2022/08/09 05:50:25 - mmengine - INFO - Epoch(train) [30][860/1879] lr: 2.0000e-03 eta: 9:13:11 time: 0.8634 data_time: 0.0200 memory: 19726 grad_norm: 3.8539 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0788 loss: 1.0788 2022/08/09 05:50:42 - mmengine - INFO - Epoch(train) [30][880/1879] lr: 2.0000e-03 eta: 9:12:53 time: 0.8500 data_time: 0.0194 memory: 19726 grad_norm: 3.8011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9138 loss: 0.9138 2022/08/09 05:51:00 - mmengine - INFO - Epoch(train) [30][900/1879] lr: 2.0000e-03 eta: 9:12:36 time: 0.8523 data_time: 0.0187 memory: 19726 grad_norm: 3.7791 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9693 loss: 0.9693 2022/08/09 05:51:17 - mmengine - INFO - Epoch(train) [30][920/1879] lr: 2.0000e-03 eta: 9:12:19 time: 0.8515 data_time: 0.0193 memory: 19726 grad_norm: 3.7849 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9207 loss: 0.9207 2022/08/09 05:51:34 - mmengine - INFO - Epoch(train) [30][940/1879] lr: 2.0000e-03 eta: 9:12:01 time: 0.8487 data_time: 0.0182 memory: 19726 grad_norm: 3.6240 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9292 loss: 0.9292 2022/08/09 05:51:51 - mmengine - INFO - Epoch(train) [30][960/1879] lr: 2.0000e-03 eta: 9:11:44 time: 0.8577 data_time: 0.0187 memory: 19726 grad_norm: 3.7023 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0403 loss: 1.0403 2022/08/09 05:52:08 - mmengine - INFO - Epoch(train) [30][980/1879] lr: 2.0000e-03 eta: 9:11:27 time: 0.8562 data_time: 0.0209 memory: 19726 grad_norm: 3.9095 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1491 loss: 1.1491 2022/08/09 05:52:25 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 2.0000e-03 eta: 9:11:10 time: 0.8583 data_time: 0.0196 memory: 19726 grad_norm: 3.7159 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9266 loss: 0.9266 2022/08/09 05:52:42 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 2.0000e-03 eta: 9:10:52 time: 0.8538 data_time: 0.0190 memory: 19726 grad_norm: 3.7960 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/08/09 05:52:59 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 2.0000e-03 eta: 9:10:35 time: 0.8549 data_time: 0.0192 memory: 19726 grad_norm: 3.7566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/08/09 05:53:16 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 2.0000e-03 eta: 9:10:18 time: 0.8562 data_time: 0.0194 memory: 19726 grad_norm: 3.8209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9567 loss: 0.9567 2022/08/09 05:53:33 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 2.0000e-03 eta: 9:10:00 time: 0.8494 data_time: 0.0192 memory: 19726 grad_norm: 3.6433 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8948 loss: 0.8948 2022/08/09 05:53:50 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 2.0000e-03 eta: 9:09:43 time: 0.8500 data_time: 0.0202 memory: 19726 grad_norm: 3.7816 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9733 loss: 0.9733 2022/08/09 05:54:08 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 2.0000e-03 eta: 9:09:26 time: 0.8660 data_time: 0.0262 memory: 19726 grad_norm: 3.8023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8091 loss: 0.8091 2022/08/09 05:54:25 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 2.0000e-03 eta: 9:09:09 time: 0.8573 data_time: 0.0247 memory: 19726 grad_norm: 3.8286 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8587 loss: 0.8587 2022/08/09 05:54:42 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 2.0000e-03 eta: 9:08:51 time: 0.8540 data_time: 0.0189 memory: 19726 grad_norm: 3.7753 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9796 loss: 0.9796 2022/08/09 05:54:59 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 2.0000e-03 eta: 9:08:34 time: 0.8554 data_time: 0.0190 memory: 19726 grad_norm: 3.6932 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7884 loss: 0.7884 2022/08/09 05:55:16 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 2.0000e-03 eta: 9:08:17 time: 0.8591 data_time: 0.0208 memory: 19726 grad_norm: 3.8916 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0406 loss: 1.0406 2022/08/09 05:55:33 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 2.0000e-03 eta: 9:08:00 time: 0.8514 data_time: 0.0187 memory: 19726 grad_norm: 3.8722 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9766 loss: 0.9766 2022/08/09 05:55:50 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 2.0000e-03 eta: 9:07:42 time: 0.8529 data_time: 0.0195 memory: 19726 grad_norm: 3.7120 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8747 loss: 0.8747 2022/08/09 05:56:07 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 2.0000e-03 eta: 9:07:25 time: 0.8573 data_time: 0.0188 memory: 19726 grad_norm: 3.7622 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9400 loss: 0.9400 2022/08/09 05:56:24 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 2.0000e-03 eta: 9:07:08 time: 0.8499 data_time: 0.0186 memory: 19726 grad_norm: 3.6596 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9023 loss: 0.9023 2022/08/09 05:56:41 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 2.0000e-03 eta: 9:06:50 time: 0.8507 data_time: 0.0209 memory: 19726 grad_norm: 3.8521 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9928 loss: 0.9928 2022/08/09 05:56:59 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 2.0000e-03 eta: 9:06:33 time: 0.8599 data_time: 0.0190 memory: 19726 grad_norm: 3.8407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9737 loss: 0.9737 2022/08/09 05:57:16 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 2.0000e-03 eta: 9:06:16 time: 0.8491 data_time: 0.0191 memory: 19726 grad_norm: 3.7617 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9701 loss: 0.9701 2022/08/09 05:57:33 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 2.0000e-03 eta: 9:05:59 time: 0.8512 data_time: 0.0190 memory: 19726 grad_norm: 3.8097 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9637 loss: 0.9637 2022/08/09 05:57:50 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 2.0000e-03 eta: 9:05:41 time: 0.8521 data_time: 0.0196 memory: 19726 grad_norm: 3.8927 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9926 loss: 0.9926 2022/08/09 05:58:07 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 2.0000e-03 eta: 9:05:24 time: 0.8629 data_time: 0.0250 memory: 19726 grad_norm: 3.7836 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1079 loss: 1.1079 2022/08/09 05:58:24 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 2.0000e-03 eta: 9:05:07 time: 0.8494 data_time: 0.0186 memory: 19726 grad_norm: 3.6976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9436 loss: 0.9436 2022/08/09 05:58:41 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 2.0000e-03 eta: 9:04:50 time: 0.8544 data_time: 0.0184 memory: 19726 grad_norm: 3.8634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9922 loss: 0.9922 2022/08/09 05:58:58 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 2.0000e-03 eta: 9:04:32 time: 0.8536 data_time: 0.0194 memory: 19726 grad_norm: 3.7284 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9200 loss: 0.9200 2022/08/09 05:59:15 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 2.0000e-03 eta: 9:04:15 time: 0.8494 data_time: 0.0178 memory: 19726 grad_norm: 3.8031 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7522 loss: 0.7522 2022/08/09 05:59:32 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 2.0000e-03 eta: 9:03:58 time: 0.8556 data_time: 0.0182 memory: 19726 grad_norm: 3.8733 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0037 loss: 1.0037 2022/08/09 05:59:40 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 05:59:49 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 2.0000e-03 eta: 9:03:40 time: 0.8577 data_time: 0.0200 memory: 19726 grad_norm: 3.7143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8323 loss: 0.8323 2022/08/09 06:00:08 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 2.0000e-03 eta: 9:03:24 time: 0.9335 data_time: 0.0207 memory: 19726 grad_norm: 3.7157 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0176 loss: 1.0176 2022/08/09 06:00:25 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 2.0000e-03 eta: 9:03:07 time: 0.8508 data_time: 0.0193 memory: 19726 grad_norm: 3.8477 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7995 loss: 0.7995 2022/08/09 06:00:42 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 2.0000e-03 eta: 9:02:50 time: 0.8573 data_time: 0.0199 memory: 19726 grad_norm: 3.7257 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9086 loss: 0.9086 2022/08/09 06:00:59 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 2.0000e-03 eta: 9:02:32 time: 0.8515 data_time: 0.0201 memory: 19726 grad_norm: 3.7868 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0256 loss: 1.0256 2022/08/09 06:01:16 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 2.0000e-03 eta: 9:02:15 time: 0.8508 data_time: 0.0178 memory: 19726 grad_norm: 3.8702 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0531 loss: 1.0531 2022/08/09 06:01:33 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 2.0000e-03 eta: 9:01:58 time: 0.8496 data_time: 0.0187 memory: 19726 grad_norm: 3.8270 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9373 loss: 0.9373 2022/08/09 06:01:50 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 2.0000e-03 eta: 9:01:40 time: 0.8517 data_time: 0.0186 memory: 19726 grad_norm: 3.8203 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0818 loss: 1.0818 2022/08/09 06:02:08 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 2.0000e-03 eta: 9:01:23 time: 0.8572 data_time: 0.0243 memory: 19726 grad_norm: 3.7791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9084 loss: 0.9084 2022/08/09 06:02:25 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 2.0000e-03 eta: 9:01:06 time: 0.8670 data_time: 0.0316 memory: 19726 grad_norm: 3.6652 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9539 loss: 0.9539 2022/08/09 06:02:42 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 2.0000e-03 eta: 9:00:49 time: 0.8501 data_time: 0.0192 memory: 19726 grad_norm: 3.7192 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8771 loss: 0.8771 2022/08/09 06:02:59 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 2.0000e-03 eta: 9:00:32 time: 0.8539 data_time: 0.0195 memory: 19726 grad_norm: 3.7193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/08/09 06:03:16 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 2.0000e-03 eta: 9:00:14 time: 0.8500 data_time: 0.0176 memory: 19726 grad_norm: 3.8635 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9655 loss: 0.9655 2022/08/09 06:03:33 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 2.0000e-03 eta: 8:59:57 time: 0.8524 data_time: 0.0189 memory: 19726 grad_norm: 3.7686 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0022 loss: 1.0022 2022/08/09 06:03:50 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 2.0000e-03 eta: 8:59:40 time: 0.8540 data_time: 0.0191 memory: 19726 grad_norm: 3.7514 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8376 loss: 0.8376 2022/08/09 06:04:07 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 2.0000e-03 eta: 8:59:22 time: 0.8517 data_time: 0.0182 memory: 19726 grad_norm: 3.7307 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8983 loss: 0.8983 2022/08/09 06:04:24 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 2.0000e-03 eta: 8:59:05 time: 0.8508 data_time: 0.0197 memory: 19726 grad_norm: 3.8933 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8912 loss: 0.8912 2022/08/09 06:04:41 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 2.0000e-03 eta: 8:58:48 time: 0.8505 data_time: 0.0183 memory: 19726 grad_norm: 3.6892 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9811 loss: 0.9811 2022/08/09 06:04:57 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 06:04:57 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 2.0000e-03 eta: 8:58:48 time: 0.8269 data_time: 0.0173 memory: 19726 grad_norm: 3.9024 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8788 loss: 0.8788 2022/08/09 06:04:57 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/09 06:05:15 - mmengine - INFO - Epoch(val) [30][20/155] eta: 0:01:48 time: 0.8062 data_time: 0.5674 memory: 2699 2022/08/09 06:05:25 - mmengine - INFO - Epoch(val) [30][40/155] eta: 0:00:52 time: 0.4554 data_time: 0.2156 memory: 2699 2022/08/09 06:05:37 - mmengine - INFO - Epoch(val) [30][60/155] eta: 0:00:59 time: 0.6224 data_time: 0.3812 memory: 2699 2022/08/09 06:05:46 - mmengine - INFO - Epoch(val) [30][80/155] eta: 0:00:33 time: 0.4521 data_time: 0.2122 memory: 2699 2022/08/09 06:05:58 - mmengine - INFO - Epoch(val) [30][100/155] eta: 0:00:33 time: 0.6066 data_time: 0.3662 memory: 2699 2022/08/09 06:06:08 - mmengine - INFO - Epoch(val) [30][120/155] eta: 0:00:17 time: 0.4963 data_time: 0.2573 memory: 2699 2022/08/09 06:06:21 - mmengine - INFO - Epoch(val) [30][140/155] eta: 0:00:09 time: 0.6455 data_time: 0.4068 memory: 2699 2022/08/09 06:06:28 - mmengine - INFO - Epoch(val) [30][155/155] acc/top1: 0.7194 acc/top5: 0.9021 acc/mean1: 0.7193 2022/08/09 06:06:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_29.pth is removed 2022/08/09 06:06:30 - mmengine - INFO - The best checkpoint with 0.7194 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/08/09 06:06:51 - mmengine - INFO - Epoch(train) [31][20/1879] lr: 2.0000e-03 eta: 8:58:06 time: 1.0624 data_time: 0.2135 memory: 19726 grad_norm: 3.7040 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8769 loss: 0.8769 2022/08/09 06:07:08 - mmengine - INFO - Epoch(train) [31][40/1879] lr: 2.0000e-03 eta: 8:57:49 time: 0.8518 data_time: 0.0185 memory: 19726 grad_norm: 3.7745 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9395 loss: 0.9395 2022/08/09 06:07:25 - mmengine - INFO - Epoch(train) [31][60/1879] lr: 2.0000e-03 eta: 8:57:31 time: 0.8496 data_time: 0.0190 memory: 19726 grad_norm: 3.7527 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8795 loss: 0.8795 2022/08/09 06:07:42 - mmengine - INFO - Epoch(train) [31][80/1879] lr: 2.0000e-03 eta: 8:57:14 time: 0.8499 data_time: 0.0187 memory: 19726 grad_norm: 3.7877 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6716 loss: 0.6716 2022/08/09 06:07:59 - mmengine - INFO - Epoch(train) [31][100/1879] lr: 2.0000e-03 eta: 8:56:57 time: 0.8489 data_time: 0.0191 memory: 19726 grad_norm: 3.6392 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8728 loss: 0.8728 2022/08/09 06:08:16 - mmengine - INFO - Epoch(train) [31][120/1879] lr: 2.0000e-03 eta: 8:56:39 time: 0.8533 data_time: 0.0187 memory: 19726 grad_norm: 3.6447 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9061 loss: 0.9061 2022/08/09 06:08:33 - mmengine - INFO - Epoch(train) [31][140/1879] lr: 2.0000e-03 eta: 8:56:22 time: 0.8544 data_time: 0.0194 memory: 19726 grad_norm: 3.8028 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0401 loss: 1.0401 2022/08/09 06:08:50 - mmengine - INFO - Epoch(train) [31][160/1879] lr: 2.0000e-03 eta: 8:56:05 time: 0.8537 data_time: 0.0196 memory: 19726 grad_norm: 3.7678 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0303 loss: 1.0303 2022/08/09 06:09:07 - mmengine - INFO - Epoch(train) [31][180/1879] lr: 2.0000e-03 eta: 8:55:48 time: 0.8516 data_time: 0.0189 memory: 19726 grad_norm: 3.7307 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9277 loss: 0.9277 2022/08/09 06:09:24 - mmengine - INFO - Epoch(train) [31][200/1879] lr: 2.0000e-03 eta: 8:55:30 time: 0.8500 data_time: 0.0185 memory: 19726 grad_norm: 3.5734 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9977 loss: 0.9977 2022/08/09 06:09:42 - mmengine - INFO - Epoch(train) [31][220/1879] lr: 2.0000e-03 eta: 8:55:13 time: 0.8569 data_time: 0.0192 memory: 19726 grad_norm: 3.7809 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9026 loss: 0.9026 2022/08/09 06:09:59 - mmengine - INFO - Epoch(train) [31][240/1879] lr: 2.0000e-03 eta: 8:54:56 time: 0.8573 data_time: 0.0187 memory: 19726 grad_norm: 3.8433 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9926 loss: 0.9926 2022/08/09 06:10:16 - mmengine - INFO - Epoch(train) [31][260/1879] lr: 2.0000e-03 eta: 8:54:39 time: 0.8618 data_time: 0.0203 memory: 19726 grad_norm: 3.6962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8984 loss: 0.8984 2022/08/09 06:10:33 - mmengine - INFO - Epoch(train) [31][280/1879] lr: 2.0000e-03 eta: 8:54:21 time: 0.8533 data_time: 0.0190 memory: 19726 grad_norm: 3.6626 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9108 loss: 0.9108 2022/08/09 06:10:50 - mmengine - INFO - Epoch(train) [31][300/1879] lr: 2.0000e-03 eta: 8:54:04 time: 0.8598 data_time: 0.0216 memory: 19726 grad_norm: 3.9099 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9110 loss: 0.9110 2022/08/09 06:11:07 - mmengine - INFO - Epoch(train) [31][320/1879] lr: 2.0000e-03 eta: 8:53:47 time: 0.8570 data_time: 0.0255 memory: 19726 grad_norm: 3.7421 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8962 loss: 0.8962 2022/08/09 06:11:24 - mmengine - INFO - Epoch(train) [31][340/1879] lr: 2.0000e-03 eta: 8:53:30 time: 0.8509 data_time: 0.0197 memory: 19726 grad_norm: 3.7917 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8453 loss: 0.8453 2022/08/09 06:11:41 - mmengine - INFO - Epoch(train) [31][360/1879] lr: 2.0000e-03 eta: 8:53:12 time: 0.8500 data_time: 0.0186 memory: 19726 grad_norm: 3.7729 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 0.9701 loss: 0.9701 2022/08/09 06:11:59 - mmengine - INFO - Epoch(train) [31][380/1879] lr: 2.0000e-03 eta: 8:52:55 time: 0.8532 data_time: 0.0202 memory: 19726 grad_norm: 3.7789 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8686 loss: 0.8686 2022/08/09 06:12:15 - mmengine - INFO - Epoch(train) [31][400/1879] lr: 2.0000e-03 eta: 8:52:38 time: 0.8487 data_time: 0.0200 memory: 19726 grad_norm: 3.6868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8335 loss: 0.8335 2022/08/09 06:12:33 - mmengine - INFO - Epoch(train) [31][420/1879] lr: 2.0000e-03 eta: 8:52:21 time: 0.8584 data_time: 0.0193 memory: 19726 grad_norm: 3.7461 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8174 loss: 0.8174 2022/08/09 06:12:50 - mmengine - INFO - Epoch(train) [31][440/1879] lr: 2.0000e-03 eta: 8:52:03 time: 0.8473 data_time: 0.0194 memory: 19726 grad_norm: 3.7846 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0516 loss: 1.0516 2022/08/09 06:13:07 - mmengine - INFO - Epoch(train) [31][460/1879] lr: 2.0000e-03 eta: 8:51:46 time: 0.8462 data_time: 0.0185 memory: 19726 grad_norm: 3.7938 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9275 loss: 0.9275 2022/08/09 06:13:24 - mmengine - INFO - Epoch(train) [31][480/1879] lr: 2.0000e-03 eta: 8:51:29 time: 0.8516 data_time: 0.0191 memory: 19726 grad_norm: 3.7567 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8554 loss: 0.8554 2022/08/09 06:13:41 - mmengine - INFO - Epoch(train) [31][500/1879] lr: 2.0000e-03 eta: 8:51:11 time: 0.8480 data_time: 0.0195 memory: 19726 grad_norm: 3.7391 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6925 loss: 0.6925 2022/08/09 06:13:57 - mmengine - INFO - Epoch(train) [31][520/1879] lr: 2.0000e-03 eta: 8:50:54 time: 0.8459 data_time: 0.0182 memory: 19726 grad_norm: 3.8729 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9627 loss: 0.9627 2022/08/09 06:14:14 - mmengine - INFO - Epoch(train) [31][540/1879] lr: 2.0000e-03 eta: 8:50:37 time: 0.8503 data_time: 0.0193 memory: 19726 grad_norm: 3.7402 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8848 loss: 0.8848 2022/08/09 06:14:32 - mmengine - INFO - Epoch(train) [31][560/1879] lr: 2.0000e-03 eta: 8:50:19 time: 0.8510 data_time: 0.0199 memory: 19726 grad_norm: 3.7312 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9137 loss: 0.9137 2022/08/09 06:14:49 - mmengine - INFO - Epoch(train) [31][580/1879] lr: 2.0000e-03 eta: 8:50:02 time: 0.8522 data_time: 0.0195 memory: 19726 grad_norm: 3.7758 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8796 loss: 0.8796 2022/08/09 06:15:06 - mmengine - INFO - Epoch(train) [31][600/1879] lr: 2.0000e-03 eta: 8:49:45 time: 0.8490 data_time: 0.0198 memory: 19726 grad_norm: 3.9612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8014 loss: 0.8014 2022/08/09 06:15:23 - mmengine - INFO - Epoch(train) [31][620/1879] lr: 2.0000e-03 eta: 8:49:27 time: 0.8521 data_time: 0.0202 memory: 19726 grad_norm: 3.7252 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8153 loss: 0.8153 2022/08/09 06:15:31 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 06:15:40 - mmengine - INFO - Epoch(train) [31][640/1879] lr: 2.0000e-03 eta: 8:49:10 time: 0.8597 data_time: 0.0203 memory: 19726 grad_norm: 3.7578 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7877 loss: 0.7877 2022/08/09 06:15:57 - mmengine - INFO - Epoch(train) [31][660/1879] lr: 2.0000e-03 eta: 8:48:53 time: 0.8461 data_time: 0.0187 memory: 19726 grad_norm: 3.8214 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9185 loss: 0.9185 2022/08/09 06:16:14 - mmengine - INFO - Epoch(train) [31][680/1879] lr: 2.0000e-03 eta: 8:48:35 time: 0.8533 data_time: 0.0191 memory: 19726 grad_norm: 3.7568 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8859 loss: 0.8859 2022/08/09 06:16:31 - mmengine - INFO - Epoch(train) [31][700/1879] lr: 2.0000e-03 eta: 8:48:18 time: 0.8506 data_time: 0.0198 memory: 19726 grad_norm: 3.7530 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8421 loss: 0.8421 2022/08/09 06:16:48 - mmengine - INFO - Epoch(train) [31][720/1879] lr: 2.0000e-03 eta: 8:48:01 time: 0.8542 data_time: 0.0195 memory: 19726 grad_norm: 3.8431 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9883 loss: 0.9883 2022/08/09 06:17:05 - mmengine - INFO - Epoch(train) [31][740/1879] lr: 2.0000e-03 eta: 8:47:44 time: 0.8492 data_time: 0.0189 memory: 19726 grad_norm: 3.7110 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8426 loss: 0.8426 2022/08/09 06:17:22 - mmengine - INFO - Epoch(train) [31][760/1879] lr: 2.0000e-03 eta: 8:47:26 time: 0.8541 data_time: 0.0182 memory: 19726 grad_norm: 3.8579 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9325 loss: 0.9325 2022/08/09 06:17:39 - mmengine - INFO - Epoch(train) [31][780/1879] lr: 2.0000e-03 eta: 8:47:09 time: 0.8521 data_time: 0.0191 memory: 19726 grad_norm: 3.7538 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8162 loss: 0.8162 2022/08/09 06:17:56 - mmengine - INFO - Epoch(train) [31][800/1879] lr: 2.0000e-03 eta: 8:46:52 time: 0.8500 data_time: 0.0182 memory: 19726 grad_norm: 3.7880 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0691 loss: 1.0691 2022/08/09 06:18:13 - mmengine - INFO - Epoch(train) [31][820/1879] lr: 2.0000e-03 eta: 8:46:34 time: 0.8555 data_time: 0.0188 memory: 19726 grad_norm: 3.8535 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9585 loss: 0.9585 2022/08/09 06:18:30 - mmengine - INFO - Epoch(train) [31][840/1879] lr: 2.0000e-03 eta: 8:46:17 time: 0.8499 data_time: 0.0190 memory: 19726 grad_norm: 3.9289 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8491 loss: 0.8491 2022/08/09 06:18:47 - mmengine - INFO - Epoch(train) [31][860/1879] lr: 2.0000e-03 eta: 8:46:00 time: 0.8504 data_time: 0.0197 memory: 19726 grad_norm: 3.8750 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1227 loss: 1.1227 2022/08/09 06:19:04 - mmengine - INFO - Epoch(train) [31][880/1879] lr: 2.0000e-03 eta: 8:45:43 time: 0.8566 data_time: 0.0195 memory: 19726 grad_norm: 3.8063 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/09 06:19:21 - mmengine - INFO - Epoch(train) [31][900/1879] lr: 2.0000e-03 eta: 8:45:25 time: 0.8554 data_time: 0.0197 memory: 19726 grad_norm: 3.8760 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8684 loss: 0.8684 2022/08/09 06:19:39 - mmengine - INFO - Epoch(train) [31][920/1879] lr: 2.0000e-03 eta: 8:45:08 time: 0.8535 data_time: 0.0186 memory: 19726 grad_norm: 3.7985 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9269 loss: 0.9269 2022/08/09 06:19:56 - mmengine - INFO - Epoch(train) [31][940/1879] lr: 2.0000e-03 eta: 8:44:51 time: 0.8559 data_time: 0.0188 memory: 19726 grad_norm: 3.8196 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9431 loss: 0.9431 2022/08/09 06:20:13 - mmengine - INFO - Epoch(train) [31][960/1879] lr: 2.0000e-03 eta: 8:44:34 time: 0.8572 data_time: 0.0195 memory: 19726 grad_norm: 3.7872 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8463 loss: 0.8463 2022/08/09 06:20:30 - mmengine - INFO - Epoch(train) [31][980/1879] lr: 2.0000e-03 eta: 8:44:17 time: 0.8598 data_time: 0.0190 memory: 19726 grad_norm: 3.7952 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9571 loss: 0.9571 2022/08/09 06:20:47 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 2.0000e-03 eta: 8:43:59 time: 0.8495 data_time: 0.0181 memory: 19726 grad_norm: 3.8457 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9500 loss: 0.9500 2022/08/09 06:21:04 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 2.0000e-03 eta: 8:43:42 time: 0.8500 data_time: 0.0195 memory: 19726 grad_norm: 3.8487 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8591 loss: 0.8591 2022/08/09 06:21:21 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 2.0000e-03 eta: 8:43:25 time: 0.8555 data_time: 0.0192 memory: 19726 grad_norm: 3.8300 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8850 loss: 0.8850 2022/08/09 06:21:38 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 2.0000e-03 eta: 8:43:07 time: 0.8483 data_time: 0.0183 memory: 19726 grad_norm: 3.7235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8131 loss: 0.8131 2022/08/09 06:21:55 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 2.0000e-03 eta: 8:42:50 time: 0.8529 data_time: 0.0184 memory: 19726 grad_norm: 3.8384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8252 loss: 0.8252 2022/08/09 06:22:12 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 2.0000e-03 eta: 8:42:33 time: 0.8542 data_time: 0.0209 memory: 19726 grad_norm: 3.7608 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/09 06:22:29 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 2.0000e-03 eta: 8:42:16 time: 0.8558 data_time: 0.0197 memory: 19726 grad_norm: 3.8482 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8615 loss: 0.8615 2022/08/09 06:22:46 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 2.0000e-03 eta: 8:41:58 time: 0.8495 data_time: 0.0197 memory: 19726 grad_norm: 3.8123 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8629 loss: 0.8629 2022/08/09 06:23:03 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 2.0000e-03 eta: 8:41:41 time: 0.8516 data_time: 0.0184 memory: 19726 grad_norm: 3.7648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9109 loss: 0.9109 2022/08/09 06:23:20 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 2.0000e-03 eta: 8:41:24 time: 0.8509 data_time: 0.0195 memory: 19726 grad_norm: 3.7665 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9238 loss: 0.9238 2022/08/09 06:23:37 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 2.0000e-03 eta: 8:41:06 time: 0.8513 data_time: 0.0205 memory: 19726 grad_norm: 3.8598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9507 loss: 0.9507 2022/08/09 06:23:55 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 2.0000e-03 eta: 8:40:49 time: 0.8572 data_time: 0.0190 memory: 19726 grad_norm: 3.7755 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9169 loss: 0.9169 2022/08/09 06:24:12 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 2.0000e-03 eta: 8:40:32 time: 0.8538 data_time: 0.0196 memory: 19726 grad_norm: 3.7813 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8870 loss: 0.8870 2022/08/09 06:24:29 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 2.0000e-03 eta: 8:40:15 time: 0.8525 data_time: 0.0193 memory: 19726 grad_norm: 3.7427 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8773 loss: 0.8773 2022/08/09 06:24:46 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 2.0000e-03 eta: 8:39:57 time: 0.8495 data_time: 0.0194 memory: 19726 grad_norm: 3.6933 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9285 loss: 0.9285 2022/08/09 06:25:03 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 2.0000e-03 eta: 8:39:40 time: 0.8611 data_time: 0.0197 memory: 19726 grad_norm: 3.8900 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9994 loss: 0.9994 2022/08/09 06:25:20 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 2.0000e-03 eta: 8:39:23 time: 0.8557 data_time: 0.0202 memory: 19726 grad_norm: 3.8474 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1561 loss: 1.1561 2022/08/09 06:25:37 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 2.0000e-03 eta: 8:39:06 time: 0.8548 data_time: 0.0197 memory: 19726 grad_norm: 3.7498 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7942 loss: 0.7942 2022/08/09 06:25:54 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 2.0000e-03 eta: 8:38:48 time: 0.8509 data_time: 0.0191 memory: 19726 grad_norm: 3.8088 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8089 loss: 0.8089 2022/08/09 06:26:11 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 2.0000e-03 eta: 8:38:31 time: 0.8569 data_time: 0.0192 memory: 19726 grad_norm: 3.9584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9145 loss: 0.9145 2022/08/09 06:26:28 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 2.0000e-03 eta: 8:38:14 time: 0.8535 data_time: 0.0195 memory: 19726 grad_norm: 3.9298 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9625 loss: 0.9625 2022/08/09 06:26:45 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 2.0000e-03 eta: 8:37:57 time: 0.8505 data_time: 0.0193 memory: 19726 grad_norm: 3.7213 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9118 loss: 0.9118 2022/08/09 06:27:03 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 2.0000e-03 eta: 8:37:39 time: 0.8517 data_time: 0.0196 memory: 19726 grad_norm: 3.8307 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9613 loss: 0.9613 2022/08/09 06:27:20 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 2.0000e-03 eta: 8:37:22 time: 0.8544 data_time: 0.0178 memory: 19726 grad_norm: 3.8707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0233 loss: 1.0233 2022/08/09 06:27:37 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 2.0000e-03 eta: 8:37:05 time: 0.8492 data_time: 0.0185 memory: 19726 grad_norm: 3.6647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8259 loss: 0.8259 2022/08/09 06:27:54 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 2.0000e-03 eta: 8:36:48 time: 0.8649 data_time: 0.0280 memory: 19726 grad_norm: 3.8949 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9327 loss: 0.9327 2022/08/09 06:28:11 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 2.0000e-03 eta: 8:36:30 time: 0.8578 data_time: 0.0185 memory: 19726 grad_norm: 3.7586 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9660 loss: 0.9660 2022/08/09 06:28:28 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 2.0000e-03 eta: 8:36:13 time: 0.8552 data_time: 0.0186 memory: 19726 grad_norm: 4.0246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0207 loss: 1.0207 2022/08/09 06:28:45 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 2.0000e-03 eta: 8:35:56 time: 0.8562 data_time: 0.0192 memory: 19726 grad_norm: 3.8387 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9814 loss: 0.9814 2022/08/09 06:29:02 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 2.0000e-03 eta: 8:35:39 time: 0.8516 data_time: 0.0193 memory: 19726 grad_norm: 3.9641 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9421 loss: 0.9421 2022/08/09 06:29:19 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 2.0000e-03 eta: 8:35:21 time: 0.8509 data_time: 0.0182 memory: 19726 grad_norm: 3.8431 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8932 loss: 0.8932 2022/08/09 06:29:36 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 2.0000e-03 eta: 8:35:04 time: 0.8495 data_time: 0.0187 memory: 19726 grad_norm: 3.8962 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/08/09 06:29:45 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 06:29:54 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 2.0000e-03 eta: 8:34:47 time: 0.8600 data_time: 0.0189 memory: 19726 grad_norm: 3.7912 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9162 loss: 0.9162 2022/08/09 06:30:11 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 2.0000e-03 eta: 8:34:30 time: 0.8533 data_time: 0.0207 memory: 19726 grad_norm: 3.7898 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/08/09 06:30:28 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 2.0000e-03 eta: 8:34:12 time: 0.8639 data_time: 0.0203 memory: 19726 grad_norm: 3.8567 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0030 loss: 1.0030 2022/08/09 06:30:45 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 2.0000e-03 eta: 8:33:55 time: 0.8551 data_time: 0.0188 memory: 19726 grad_norm: 3.9770 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0283 loss: 1.0283 2022/08/09 06:31:02 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 2.0000e-03 eta: 8:33:38 time: 0.8507 data_time: 0.0190 memory: 19726 grad_norm: 3.9473 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9398 loss: 0.9398 2022/08/09 06:31:19 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 2.0000e-03 eta: 8:33:21 time: 0.8501 data_time: 0.0190 memory: 19726 grad_norm: 3.9735 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8553 loss: 0.8553 2022/08/09 06:31:36 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 2.0000e-03 eta: 8:33:03 time: 0.8525 data_time: 0.0208 memory: 19726 grad_norm: 3.7738 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9509 loss: 0.9509 2022/08/09 06:31:53 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 2.0000e-03 eta: 8:32:46 time: 0.8510 data_time: 0.0193 memory: 19726 grad_norm: 3.8571 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9438 loss: 0.9438 2022/08/09 06:32:10 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 2.0000e-03 eta: 8:32:29 time: 0.8537 data_time: 0.0189 memory: 19726 grad_norm: 3.8499 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9606 loss: 0.9606 2022/08/09 06:32:27 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 2.0000e-03 eta: 8:32:11 time: 0.8486 data_time: 0.0184 memory: 19726 grad_norm: 3.9362 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9338 loss: 0.9338 2022/08/09 06:32:44 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 2.0000e-03 eta: 8:31:54 time: 0.8501 data_time: 0.0182 memory: 19726 grad_norm: 3.9503 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8852 loss: 0.8852 2022/08/09 06:33:01 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 2.0000e-03 eta: 8:31:37 time: 0.8553 data_time: 0.0204 memory: 19726 grad_norm: 3.7035 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0132 loss: 1.0132 2022/08/09 06:33:17 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 06:33:17 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 2.0000e-03 eta: 8:31:37 time: 0.8255 data_time: 0.0180 memory: 19726 grad_norm: 3.9191 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8228 loss: 0.8228 2022/08/09 06:33:31 - mmengine - INFO - Epoch(val) [31][20/155] eta: 0:01:35 time: 0.7056 data_time: 0.4633 memory: 2699 2022/08/09 06:33:40 - mmengine - INFO - Epoch(val) [31][40/155] eta: 0:00:53 time: 0.4638 data_time: 0.2237 memory: 2699 2022/08/09 06:33:53 - mmengine - INFO - Epoch(val) [31][60/155] eta: 0:00:58 time: 0.6116 data_time: 0.3718 memory: 2699 2022/08/09 06:34:03 - mmengine - INFO - Epoch(val) [31][80/155] eta: 0:00:36 time: 0.4917 data_time: 0.2526 memory: 2699 2022/08/09 06:34:14 - mmengine - INFO - Epoch(val) [31][100/155] eta: 0:00:32 time: 0.5963 data_time: 0.3561 memory: 2699 2022/08/09 06:34:25 - mmengine - INFO - Epoch(val) [31][120/155] eta: 0:00:18 time: 0.5353 data_time: 0.2959 memory: 2699 2022/08/09 06:34:38 - mmengine - INFO - Epoch(val) [31][140/155] eta: 0:00:09 time: 0.6597 data_time: 0.4205 memory: 2699 2022/08/09 06:34:46 - mmengine - INFO - Epoch(val) [31][155/155] acc/top1: 0.7190 acc/top5: 0.9035 acc/mean1: 0.7190 2022/08/09 06:35:08 - mmengine - INFO - Epoch(train) [32][20/1879] lr: 2.0000e-03 eta: 8:30:56 time: 1.0999 data_time: 0.1892 memory: 19726 grad_norm: 3.8640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0311 loss: 1.0311 2022/08/09 06:35:25 - mmengine - INFO - Epoch(train) [32][40/1879] lr: 2.0000e-03 eta: 8:30:39 time: 0.8506 data_time: 0.0178 memory: 19726 grad_norm: 3.7429 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9421 loss: 0.9421 2022/08/09 06:35:42 - mmengine - INFO - Epoch(train) [32][60/1879] lr: 2.0000e-03 eta: 8:30:22 time: 0.8475 data_time: 0.0190 memory: 19726 grad_norm: 3.7507 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8599 loss: 0.8599 2022/08/09 06:35:59 - mmengine - INFO - Epoch(train) [32][80/1879] lr: 2.0000e-03 eta: 8:30:04 time: 0.8477 data_time: 0.0185 memory: 19726 grad_norm: 3.9630 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8709 loss: 0.8709 2022/08/09 06:36:16 - mmengine - INFO - Epoch(train) [32][100/1879] lr: 2.0000e-03 eta: 8:29:47 time: 0.8534 data_time: 0.0190 memory: 19726 grad_norm: 3.7876 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0201 loss: 1.0201 2022/08/09 06:36:33 - mmengine - INFO - Epoch(train) [32][120/1879] lr: 2.0000e-03 eta: 8:29:30 time: 0.8618 data_time: 0.0252 memory: 19726 grad_norm: 3.7268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9178 loss: 0.9178 2022/08/09 06:36:50 - mmengine - INFO - Epoch(train) [32][140/1879] lr: 2.0000e-03 eta: 8:29:13 time: 0.8495 data_time: 0.0190 memory: 19726 grad_norm: 3.8447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8616 loss: 0.8616 2022/08/09 06:37:07 - mmengine - INFO - Epoch(train) [32][160/1879] lr: 2.0000e-03 eta: 8:28:55 time: 0.8506 data_time: 0.0183 memory: 19726 grad_norm: 3.8707 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0249 loss: 1.0249 2022/08/09 06:37:24 - mmengine - INFO - Epoch(train) [32][180/1879] lr: 2.0000e-03 eta: 8:28:38 time: 0.8534 data_time: 0.0197 memory: 19726 grad_norm: 3.7269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9392 loss: 0.9392 2022/08/09 06:37:41 - mmengine - INFO - Epoch(train) [32][200/1879] lr: 2.0000e-03 eta: 8:28:21 time: 0.8513 data_time: 0.0175 memory: 19726 grad_norm: 3.7838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7721 loss: 0.7721 2022/08/09 06:37:58 - mmengine - INFO - Epoch(train) [32][220/1879] lr: 2.0000e-03 eta: 8:28:04 time: 0.8511 data_time: 0.0199 memory: 19726 grad_norm: 3.7743 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8314 loss: 0.8314 2022/08/09 06:38:15 - mmengine - INFO - Epoch(train) [32][240/1879] lr: 2.0000e-03 eta: 8:27:46 time: 0.8554 data_time: 0.0183 memory: 19726 grad_norm: 3.8871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0307 loss: 1.0307 2022/08/09 06:38:33 - mmengine - INFO - Epoch(train) [32][260/1879] lr: 2.0000e-03 eta: 8:27:29 time: 0.8606 data_time: 0.0192 memory: 19726 grad_norm: 3.7722 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0196 loss: 1.0196 2022/08/09 06:38:50 - mmengine - INFO - Epoch(train) [32][280/1879] lr: 2.0000e-03 eta: 8:27:12 time: 0.8511 data_time: 0.0182 memory: 19726 grad_norm: 3.7750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9547 loss: 0.9547 2022/08/09 06:39:07 - mmengine - INFO - Epoch(train) [32][300/1879] lr: 2.0000e-03 eta: 8:26:55 time: 0.8527 data_time: 0.0195 memory: 19726 grad_norm: 3.8136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9309 loss: 0.9309 2022/08/09 06:39:24 - mmengine - INFO - Epoch(train) [32][320/1879] lr: 2.0000e-03 eta: 8:26:37 time: 0.8550 data_time: 0.0209 memory: 19726 grad_norm: 3.8488 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9209 loss: 0.9209 2022/08/09 06:39:41 - mmengine - INFO - Epoch(train) [32][340/1879] lr: 2.0000e-03 eta: 8:26:20 time: 0.8519 data_time: 0.0181 memory: 19726 grad_norm: 4.0141 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8992 loss: 0.8992 2022/08/09 06:39:58 - mmengine - INFO - Epoch(train) [32][360/1879] lr: 2.0000e-03 eta: 8:26:03 time: 0.8498 data_time: 0.0177 memory: 19726 grad_norm: 3.9368 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9057 loss: 0.9057 2022/08/09 06:40:15 - mmengine - INFO - Epoch(train) [32][380/1879] lr: 2.0000e-03 eta: 8:25:46 time: 0.8562 data_time: 0.0190 memory: 19726 grad_norm: 3.9260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9253 loss: 0.9253 2022/08/09 06:40:32 - mmengine - INFO - Epoch(train) [32][400/1879] lr: 2.0000e-03 eta: 8:25:28 time: 0.8566 data_time: 0.0225 memory: 19726 grad_norm: 3.9092 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8602 loss: 0.8602 2022/08/09 06:40:49 - mmengine - INFO - Epoch(train) [32][420/1879] lr: 2.0000e-03 eta: 8:25:11 time: 0.8513 data_time: 0.0199 memory: 19726 grad_norm: 3.8623 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9644 loss: 0.9644 2022/08/09 06:41:06 - mmengine - INFO - Epoch(train) [32][440/1879] lr: 2.0000e-03 eta: 8:24:54 time: 0.8584 data_time: 0.0189 memory: 19726 grad_norm: 3.6860 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9280 loss: 0.9280 2022/08/09 06:41:23 - mmengine - INFO - Epoch(train) [32][460/1879] lr: 2.0000e-03 eta: 8:24:37 time: 0.8565 data_time: 0.0185 memory: 19726 grad_norm: 3.8557 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8736 loss: 0.8736 2022/08/09 06:41:40 - mmengine - INFO - Epoch(train) [32][480/1879] lr: 2.0000e-03 eta: 8:24:19 time: 0.8489 data_time: 0.0183 memory: 19726 grad_norm: 3.8301 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0445 loss: 1.0445 2022/08/09 06:41:57 - mmengine - INFO - Epoch(train) [32][500/1879] lr: 2.0000e-03 eta: 8:24:02 time: 0.8484 data_time: 0.0193 memory: 19726 grad_norm: 3.8849 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9503 loss: 0.9503 2022/08/09 06:42:15 - mmengine - INFO - Epoch(train) [32][520/1879] lr: 2.0000e-03 eta: 8:23:45 time: 0.8595 data_time: 0.0188 memory: 19726 grad_norm: 3.8371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9211 loss: 0.9211 2022/08/09 06:42:32 - mmengine - INFO - Epoch(train) [32][540/1879] lr: 2.0000e-03 eta: 8:23:28 time: 0.8532 data_time: 0.0198 memory: 19726 grad_norm: 3.9553 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9653 loss: 0.9653 2022/08/09 06:42:49 - mmengine - INFO - Epoch(train) [32][560/1879] lr: 2.0000e-03 eta: 8:23:10 time: 0.8572 data_time: 0.0183 memory: 19726 grad_norm: 3.8493 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8254 loss: 0.8254 2022/08/09 06:43:06 - mmengine - INFO - Epoch(train) [32][580/1879] lr: 2.0000e-03 eta: 8:22:53 time: 0.8506 data_time: 0.0192 memory: 19726 grad_norm: 3.9943 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/08/09 06:43:23 - mmengine - INFO - Epoch(train) [32][600/1879] lr: 2.0000e-03 eta: 8:22:36 time: 0.8498 data_time: 0.0189 memory: 19726 grad_norm: 3.8607 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8634 loss: 0.8634 2022/08/09 06:43:40 - mmengine - INFO - Epoch(train) [32][620/1879] lr: 2.0000e-03 eta: 8:22:19 time: 0.8524 data_time: 0.0189 memory: 19726 grad_norm: 3.9330 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9568 loss: 0.9568 2022/08/09 06:43:57 - mmengine - INFO - Epoch(train) [32][640/1879] lr: 2.0000e-03 eta: 8:22:01 time: 0.8522 data_time: 0.0188 memory: 19726 grad_norm: 3.9185 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8282 loss: 0.8282 2022/08/09 06:44:14 - mmengine - INFO - Epoch(train) [32][660/1879] lr: 2.0000e-03 eta: 8:21:44 time: 0.8563 data_time: 0.0206 memory: 19726 grad_norm: 3.8265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8583 loss: 0.8583 2022/08/09 06:44:31 - mmengine - INFO - Epoch(train) [32][680/1879] lr: 2.0000e-03 eta: 8:21:27 time: 0.8572 data_time: 0.0183 memory: 19726 grad_norm: 3.8540 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8455 loss: 0.8455 2022/08/09 06:44:48 - mmengine - INFO - Epoch(train) [32][700/1879] lr: 2.0000e-03 eta: 8:21:10 time: 0.8496 data_time: 0.0180 memory: 19726 grad_norm: 3.7634 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8887 loss: 0.8887 2022/08/09 06:45:05 - mmengine - INFO - Epoch(train) [32][720/1879] lr: 2.0000e-03 eta: 8:20:52 time: 0.8524 data_time: 0.0185 memory: 19726 grad_norm: 3.7960 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9030 loss: 0.9030 2022/08/09 06:45:22 - mmengine - INFO - Epoch(train) [32][740/1879] lr: 2.0000e-03 eta: 8:20:35 time: 0.8531 data_time: 0.0186 memory: 19726 grad_norm: 3.9944 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1243 loss: 1.1243 2022/08/09 06:45:32 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 06:45:39 - mmengine - INFO - Epoch(train) [32][760/1879] lr: 2.0000e-03 eta: 8:20:18 time: 0.8536 data_time: 0.0198 memory: 19726 grad_norm: 3.9936 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8447 loss: 0.8447 2022/08/09 06:45:57 - mmengine - INFO - Epoch(train) [32][780/1879] lr: 2.0000e-03 eta: 8:20:01 time: 0.8551 data_time: 0.0182 memory: 19726 grad_norm: 3.8388 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8638 loss: 0.8638 2022/08/09 06:46:14 - mmengine - INFO - Epoch(train) [32][800/1879] lr: 2.0000e-03 eta: 8:19:43 time: 0.8529 data_time: 0.0190 memory: 19726 grad_norm: 3.7505 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9175 loss: 0.9175 2022/08/09 06:46:31 - mmengine - INFO - Epoch(train) [32][820/1879] lr: 2.0000e-03 eta: 8:19:26 time: 0.8535 data_time: 0.0189 memory: 19726 grad_norm: 3.7441 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7921 loss: 0.7921 2022/08/09 06:46:48 - mmengine - INFO - Epoch(train) [32][840/1879] lr: 2.0000e-03 eta: 8:19:09 time: 0.8523 data_time: 0.0180 memory: 19726 grad_norm: 3.8956 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9290 loss: 0.9290 2022/08/09 06:47:05 - mmengine - INFO - Epoch(train) [32][860/1879] lr: 2.0000e-03 eta: 8:18:52 time: 0.8526 data_time: 0.0191 memory: 19726 grad_norm: 3.9500 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9092 loss: 0.9092 2022/08/09 06:47:22 - mmengine - INFO - Epoch(train) [32][880/1879] lr: 2.0000e-03 eta: 8:18:34 time: 0.8558 data_time: 0.0196 memory: 19726 grad_norm: 3.8828 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8463 loss: 0.8463 2022/08/09 06:47:39 - mmengine - INFO - Epoch(train) [32][900/1879] lr: 2.0000e-03 eta: 8:18:17 time: 0.8493 data_time: 0.0181 memory: 19726 grad_norm: 3.9668 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9708 loss: 0.9708 2022/08/09 06:47:56 - mmengine - INFO - Epoch(train) [32][920/1879] lr: 2.0000e-03 eta: 8:18:00 time: 0.8727 data_time: 0.0314 memory: 19726 grad_norm: 3.8904 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8373 loss: 0.8373 2022/08/09 06:48:14 - mmengine - INFO - Epoch(train) [32][940/1879] lr: 2.0000e-03 eta: 8:17:43 time: 0.8571 data_time: 0.0204 memory: 19726 grad_norm: 3.8187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8762 loss: 0.8762 2022/08/09 06:48:31 - mmengine - INFO - Epoch(train) [32][960/1879] lr: 2.0000e-03 eta: 8:17:26 time: 0.8510 data_time: 0.0193 memory: 19726 grad_norm: 3.9506 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8897 loss: 0.8897 2022/08/09 06:48:48 - mmengine - INFO - Epoch(train) [32][980/1879] lr: 2.0000e-03 eta: 8:17:08 time: 0.8530 data_time: 0.0188 memory: 19726 grad_norm: 3.7416 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8283 loss: 0.8283 2022/08/09 06:49:05 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 2.0000e-03 eta: 8:16:51 time: 0.8547 data_time: 0.0194 memory: 19726 grad_norm: 3.8601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0088 loss: 1.0088 2022/08/09 06:49:22 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 2.0000e-03 eta: 8:16:34 time: 0.8492 data_time: 0.0189 memory: 19726 grad_norm: 3.9677 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0451 loss: 1.0451 2022/08/09 06:49:39 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 2.0000e-03 eta: 8:16:17 time: 0.8512 data_time: 0.0177 memory: 19726 grad_norm: 3.8224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9455 loss: 0.9455 2022/08/09 06:49:56 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 2.0000e-03 eta: 8:15:59 time: 0.8520 data_time: 0.0188 memory: 19726 grad_norm: 3.8441 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9949 loss: 0.9949 2022/08/09 06:50:13 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 2.0000e-03 eta: 8:15:42 time: 0.8684 data_time: 0.0221 memory: 19726 grad_norm: 3.7558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8797 loss: 0.8797 2022/08/09 06:50:30 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 2.0000e-03 eta: 8:15:25 time: 0.8601 data_time: 0.0187 memory: 19726 grad_norm: 3.7515 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9296 loss: 0.9296 2022/08/09 06:50:47 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 2.0000e-03 eta: 8:15:08 time: 0.8520 data_time: 0.0190 memory: 19726 grad_norm: 3.8646 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8225 loss: 0.8225 2022/08/09 06:51:04 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 2.0000e-03 eta: 8:14:50 time: 0.8507 data_time: 0.0187 memory: 19726 grad_norm: 3.9489 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8951 loss: 0.8951 2022/08/09 06:51:21 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 2.0000e-03 eta: 8:14:33 time: 0.8498 data_time: 0.0181 memory: 19726 grad_norm: 3.9558 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0126 loss: 1.0126 2022/08/09 06:51:38 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 2.0000e-03 eta: 8:14:16 time: 0.8486 data_time: 0.0184 memory: 19726 grad_norm: 3.8043 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9479 loss: 0.9479 2022/08/09 06:51:56 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 2.0000e-03 eta: 8:13:59 time: 0.8549 data_time: 0.0184 memory: 19726 grad_norm: 3.8978 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0098 loss: 1.0098 2022/08/09 06:52:13 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 2.0000e-03 eta: 8:13:41 time: 0.8522 data_time: 0.0198 memory: 19726 grad_norm: 3.8428 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9633 loss: 0.9633 2022/08/09 06:52:30 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 2.0000e-03 eta: 8:13:24 time: 0.8584 data_time: 0.0195 memory: 19726 grad_norm: 3.8991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8364 loss: 0.8364 2022/08/09 06:52:47 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 2.0000e-03 eta: 8:13:07 time: 0.8495 data_time: 0.0191 memory: 19726 grad_norm: 3.8889 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9353 loss: 0.9353 2022/08/09 06:53:04 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 2.0000e-03 eta: 8:12:50 time: 0.8505 data_time: 0.0188 memory: 19726 grad_norm: 3.8797 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9701 loss: 0.9701 2022/08/09 06:53:21 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 2.0000e-03 eta: 8:12:32 time: 0.8499 data_time: 0.0192 memory: 19726 grad_norm: 3.8719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9429 loss: 0.9429 2022/08/09 06:53:38 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 2.0000e-03 eta: 8:12:15 time: 0.8492 data_time: 0.0190 memory: 19726 grad_norm: 3.9367 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8742 loss: 0.8742 2022/08/09 06:53:55 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 2.0000e-03 eta: 8:11:58 time: 0.8558 data_time: 0.0200 memory: 19726 grad_norm: 3.9466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9477 loss: 0.9477 2022/08/09 06:54:12 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 2.0000e-03 eta: 8:11:41 time: 0.8535 data_time: 0.0195 memory: 19726 grad_norm: 3.8219 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9541 loss: 0.9541 2022/08/09 06:54:29 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 2.0000e-03 eta: 8:11:23 time: 0.8617 data_time: 0.0200 memory: 19726 grad_norm: 3.9211 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8930 loss: 0.8930 2022/08/09 06:54:46 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 2.0000e-03 eta: 8:11:06 time: 0.8491 data_time: 0.0189 memory: 19726 grad_norm: 3.9233 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0526 loss: 1.0526 2022/08/09 06:55:03 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 2.0000e-03 eta: 8:10:49 time: 0.8527 data_time: 0.0194 memory: 19726 grad_norm: 3.9046 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9242 loss: 0.9242 2022/08/09 06:55:20 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 2.0000e-03 eta: 8:10:32 time: 0.8520 data_time: 0.0189 memory: 19726 grad_norm: 3.9253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9821 loss: 0.9821 2022/08/09 06:55:37 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 2.0000e-03 eta: 8:10:14 time: 0.8505 data_time: 0.0187 memory: 19726 grad_norm: 3.8662 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9618 loss: 0.9618 2022/08/09 06:55:54 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 2.0000e-03 eta: 8:09:57 time: 0.8538 data_time: 0.0196 memory: 19726 grad_norm: 3.9311 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9591 loss: 0.9591 2022/08/09 06:56:11 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 2.0000e-03 eta: 8:09:40 time: 0.8503 data_time: 0.0203 memory: 19726 grad_norm: 3.8938 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8492 loss: 0.8492 2022/08/09 06:56:29 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 2.0000e-03 eta: 8:09:23 time: 0.8601 data_time: 0.0194 memory: 19726 grad_norm: 4.0256 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0427 loss: 1.0427 2022/08/09 06:56:46 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 2.0000e-03 eta: 8:09:05 time: 0.8485 data_time: 0.0197 memory: 19726 grad_norm: 4.0358 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9685 loss: 0.9685 2022/08/09 06:57:03 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 2.0000e-03 eta: 8:08:48 time: 0.8515 data_time: 0.0193 memory: 19726 grad_norm: 3.8268 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8511 loss: 0.8511 2022/08/09 06:57:20 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 2.0000e-03 eta: 8:08:31 time: 0.8497 data_time: 0.0187 memory: 19726 grad_norm: 3.9028 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9552 loss: 0.9552 2022/08/09 06:57:37 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 2.0000e-03 eta: 8:08:14 time: 0.8564 data_time: 0.0204 memory: 19726 grad_norm: 3.9049 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8876 loss: 0.8876 2022/08/09 06:57:54 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 2.0000e-03 eta: 8:07:56 time: 0.8570 data_time: 0.0252 memory: 19726 grad_norm: 3.9902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9397 loss: 0.9397 2022/08/09 06:58:11 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 2.0000e-03 eta: 8:07:39 time: 0.8515 data_time: 0.0192 memory: 19726 grad_norm: 3.8463 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0103 loss: 1.0103 2022/08/09 06:58:28 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 2.0000e-03 eta: 8:07:22 time: 0.8525 data_time: 0.0189 memory: 19726 grad_norm: 3.9162 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9560 loss: 0.9560 2022/08/09 06:58:45 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 2.0000e-03 eta: 8:07:05 time: 0.8513 data_time: 0.0197 memory: 19726 grad_norm: 3.8568 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/08/09 06:59:02 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 2.0000e-03 eta: 8:06:47 time: 0.8518 data_time: 0.0192 memory: 19726 grad_norm: 4.0356 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7722 loss: 0.7722 2022/08/09 06:59:19 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 2.0000e-03 eta: 8:06:30 time: 0.8494 data_time: 0.0188 memory: 19726 grad_norm: 3.7914 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8621 loss: 0.8621 2022/08/09 06:59:36 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 2.0000e-03 eta: 8:06:13 time: 0.8601 data_time: 0.0201 memory: 19726 grad_norm: 3.9252 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0686 loss: 1.0686 2022/08/09 06:59:46 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 06:59:53 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 2.0000e-03 eta: 8:05:56 time: 0.8563 data_time: 0.0202 memory: 19726 grad_norm: 3.9017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8655 loss: 0.8655 2022/08/09 07:00:10 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 2.0000e-03 eta: 8:05:38 time: 0.8532 data_time: 0.0202 memory: 19726 grad_norm: 3.9596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9783 loss: 0.9783 2022/08/09 07:00:28 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 2.0000e-03 eta: 8:05:21 time: 0.8554 data_time: 0.0198 memory: 19726 grad_norm: 3.8620 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.8821 loss: 0.8821 2022/08/09 07:00:45 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 2.0000e-03 eta: 8:05:04 time: 0.8519 data_time: 0.0195 memory: 19726 grad_norm: 3.8371 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7913 loss: 0.7913 2022/08/09 07:01:02 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 2.0000e-03 eta: 8:04:47 time: 0.8522 data_time: 0.0206 memory: 19726 grad_norm: 3.8976 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9165 loss: 0.9165 2022/08/09 07:01:19 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 2.0000e-03 eta: 8:04:29 time: 0.8572 data_time: 0.0199 memory: 19726 grad_norm: 3.8855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0565 loss: 1.0565 2022/08/09 07:01:35 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 07:01:35 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 2.0000e-03 eta: 8:04:29 time: 0.8285 data_time: 0.0186 memory: 19726 grad_norm: 4.0344 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8942 loss: 0.8942 2022/08/09 07:01:48 - mmengine - INFO - Epoch(val) [32][20/155] eta: 0:01:32 time: 0.6851 data_time: 0.4428 memory: 2699 2022/08/09 07:01:58 - mmengine - INFO - Epoch(val) [32][40/155] eta: 0:00:57 time: 0.5040 data_time: 0.2568 memory: 2699 2022/08/09 07:02:11 - mmengine - INFO - Epoch(val) [32][60/155] eta: 0:00:58 time: 0.6168 data_time: 0.3773 memory: 2699 2022/08/09 07:02:20 - mmengine - INFO - Epoch(val) [32][80/155] eta: 0:00:35 time: 0.4745 data_time: 0.2343 memory: 2699 2022/08/09 07:02:33 - mmengine - INFO - Epoch(val) [32][100/155] eta: 0:00:33 time: 0.6164 data_time: 0.3721 memory: 2699 2022/08/09 07:02:43 - mmengine - INFO - Epoch(val) [32][120/155] eta: 0:00:18 time: 0.5151 data_time: 0.2765 memory: 2699 2022/08/09 07:02:56 - mmengine - INFO - Epoch(val) [32][140/155] eta: 0:00:10 time: 0.6707 data_time: 0.4313 memory: 2699 2022/08/09 07:03:04 - mmengine - INFO - Epoch(val) [32][155/155] acc/top1: 0.7167 acc/top5: 0.9043 acc/mean1: 0.7166 2022/08/09 07:03:26 - mmengine - INFO - Epoch(train) [33][20/1879] lr: 2.0000e-03 eta: 8:03:50 time: 1.1147 data_time: 0.2009 memory: 19726 grad_norm: 3.8596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9312 loss: 0.9312 2022/08/09 07:03:43 - mmengine - INFO - Epoch(train) [33][40/1879] lr: 2.0000e-03 eta: 8:03:32 time: 0.8517 data_time: 0.0175 memory: 19726 grad_norm: 3.8742 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9463 loss: 0.9463 2022/08/09 07:04:00 - mmengine - INFO - Epoch(train) [33][60/1879] lr: 2.0000e-03 eta: 8:03:15 time: 0.8460 data_time: 0.0198 memory: 19726 grad_norm: 3.8962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8906 loss: 0.8906 2022/08/09 07:04:17 - mmengine - INFO - Epoch(train) [33][80/1879] lr: 2.0000e-03 eta: 8:02:58 time: 0.8489 data_time: 0.0186 memory: 19726 grad_norm: 3.9298 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8935 loss: 0.8935 2022/08/09 07:04:34 - mmengine - INFO - Epoch(train) [33][100/1879] lr: 2.0000e-03 eta: 8:02:41 time: 0.8542 data_time: 0.0210 memory: 19726 grad_norm: 3.8774 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9739 loss: 0.9739 2022/08/09 07:04:51 - mmengine - INFO - Epoch(train) [33][120/1879] lr: 2.0000e-03 eta: 8:02:23 time: 0.8485 data_time: 0.0184 memory: 19726 grad_norm: 3.8117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7968 loss: 0.7968 2022/08/09 07:05:08 - mmengine - INFO - Epoch(train) [33][140/1879] lr: 2.0000e-03 eta: 8:02:06 time: 0.8485 data_time: 0.0198 memory: 19726 grad_norm: 3.7764 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8712 loss: 0.8712 2022/08/09 07:05:26 - mmengine - INFO - Epoch(train) [33][160/1879] lr: 2.0000e-03 eta: 8:01:49 time: 0.8887 data_time: 0.0414 memory: 19726 grad_norm: 3.9662 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.8108 loss: 0.8108 2022/08/09 07:05:43 - mmengine - INFO - Epoch(train) [33][180/1879] lr: 2.0000e-03 eta: 8:01:32 time: 0.8522 data_time: 0.0206 memory: 19726 grad_norm: 3.8497 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9620 loss: 0.9620 2022/08/09 07:06:00 - mmengine - INFO - Epoch(train) [33][200/1879] lr: 2.0000e-03 eta: 8:01:15 time: 0.8524 data_time: 0.0192 memory: 19726 grad_norm: 3.9336 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0512 loss: 1.0512 2022/08/09 07:06:17 - mmengine - INFO - Epoch(train) [33][220/1879] lr: 2.0000e-03 eta: 8:00:57 time: 0.8526 data_time: 0.0190 memory: 19726 grad_norm: 3.8013 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/08/09 07:06:34 - mmengine - INFO - Epoch(train) [33][240/1879] lr: 2.0000e-03 eta: 8:00:40 time: 0.8546 data_time: 0.0194 memory: 19726 grad_norm: 4.0392 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9825 loss: 0.9825 2022/08/09 07:06:51 - mmengine - INFO - Epoch(train) [33][260/1879] lr: 2.0000e-03 eta: 8:00:23 time: 0.8555 data_time: 0.0205 memory: 19726 grad_norm: 3.9707 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8985 loss: 0.8985 2022/08/09 07:07:08 - mmengine - INFO - Epoch(train) [33][280/1879] lr: 2.0000e-03 eta: 8:00:06 time: 0.8521 data_time: 0.0196 memory: 19726 grad_norm: 3.8959 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9385 loss: 0.9385 2022/08/09 07:07:25 - mmengine - INFO - Epoch(train) [33][300/1879] lr: 2.0000e-03 eta: 7:59:49 time: 0.8533 data_time: 0.0192 memory: 19726 grad_norm: 3.8825 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8971 loss: 0.8971 2022/08/09 07:07:42 - mmengine - INFO - Epoch(train) [33][320/1879] lr: 2.0000e-03 eta: 7:59:31 time: 0.8501 data_time: 0.0190 memory: 19726 grad_norm: 4.0369 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8255 loss: 0.8255 2022/08/09 07:07:59 - mmengine - INFO - Epoch(train) [33][340/1879] lr: 2.0000e-03 eta: 7:59:14 time: 0.8542 data_time: 0.0194 memory: 19726 grad_norm: 3.9908 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9331 loss: 0.9331 2022/08/09 07:08:17 - mmengine - INFO - Epoch(train) [33][360/1879] lr: 2.0000e-03 eta: 7:58:57 time: 0.8691 data_time: 0.0317 memory: 19726 grad_norm: 3.9670 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9550 loss: 0.9550 2022/08/09 07:08:34 - mmengine - INFO - Epoch(train) [33][380/1879] lr: 2.0000e-03 eta: 7:58:40 time: 0.8602 data_time: 0.0254 memory: 19726 grad_norm: 3.8981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8687 loss: 0.8687 2022/08/09 07:08:51 - mmengine - INFO - Epoch(train) [33][400/1879] lr: 2.0000e-03 eta: 7:58:23 time: 0.8545 data_time: 0.0195 memory: 19726 grad_norm: 3.9490 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9143 loss: 0.9143 2022/08/09 07:09:08 - mmengine - INFO - Epoch(train) [33][420/1879] lr: 2.0000e-03 eta: 7:58:05 time: 0.8505 data_time: 0.0193 memory: 19726 grad_norm: 3.9644 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8095 loss: 0.8095 2022/08/09 07:09:25 - mmengine - INFO - Epoch(train) [33][440/1879] lr: 2.0000e-03 eta: 7:57:48 time: 0.8558 data_time: 0.0198 memory: 19726 grad_norm: 3.9336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8924 loss: 0.8924 2022/08/09 07:09:42 - mmengine - INFO - Epoch(train) [33][460/1879] lr: 2.0000e-03 eta: 7:57:31 time: 0.8541 data_time: 0.0201 memory: 19726 grad_norm: 3.9463 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9029 loss: 0.9029 2022/08/09 07:09:59 - mmengine - INFO - Epoch(train) [33][480/1879] lr: 2.0000e-03 eta: 7:57:14 time: 0.8498 data_time: 0.0194 memory: 19726 grad_norm: 3.8131 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7547 loss: 0.7547 2022/08/09 07:10:17 - mmengine - INFO - Epoch(train) [33][500/1879] lr: 2.0000e-03 eta: 7:56:56 time: 0.8661 data_time: 0.0266 memory: 19726 grad_norm: 3.9032 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8447 loss: 0.8447 2022/08/09 07:10:34 - mmengine - INFO - Epoch(train) [33][520/1879] lr: 2.0000e-03 eta: 7:56:39 time: 0.8551 data_time: 0.0184 memory: 19726 grad_norm: 3.8689 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8982 loss: 0.8982 2022/08/09 07:10:51 - mmengine - INFO - Epoch(train) [33][540/1879] lr: 2.0000e-03 eta: 7:56:22 time: 0.8505 data_time: 0.0189 memory: 19726 grad_norm: 3.8681 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9173 loss: 0.9173 2022/08/09 07:11:08 - mmengine - INFO - Epoch(train) [33][560/1879] lr: 2.0000e-03 eta: 7:56:05 time: 0.8530 data_time: 0.0195 memory: 19726 grad_norm: 3.8535 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8862 loss: 0.8862 2022/08/09 07:11:25 - mmengine - INFO - Epoch(train) [33][580/1879] lr: 2.0000e-03 eta: 7:55:48 time: 0.8522 data_time: 0.0192 memory: 19726 grad_norm: 3.8805 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7865 loss: 0.7865 2022/08/09 07:11:42 - mmengine - INFO - Epoch(train) [33][600/1879] lr: 2.0000e-03 eta: 7:55:30 time: 0.8503 data_time: 0.0195 memory: 19726 grad_norm: 3.9507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9140 loss: 0.9140 2022/08/09 07:11:59 - mmengine - INFO - Epoch(train) [33][620/1879] lr: 2.0000e-03 eta: 7:55:13 time: 0.8559 data_time: 0.0199 memory: 19726 grad_norm: 3.9836 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8893 loss: 0.8893 2022/08/09 07:12:16 - mmengine - INFO - Epoch(train) [33][640/1879] lr: 2.0000e-03 eta: 7:54:56 time: 0.8548 data_time: 0.0192 memory: 19726 grad_norm: 3.9204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8141 loss: 0.8141 2022/08/09 07:12:33 - mmengine - INFO - Epoch(train) [33][660/1879] lr: 2.0000e-03 eta: 7:54:39 time: 0.8544 data_time: 0.0212 memory: 19726 grad_norm: 3.8373 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9570 loss: 0.9570 2022/08/09 07:12:50 - mmengine - INFO - Epoch(train) [33][680/1879] lr: 2.0000e-03 eta: 7:54:21 time: 0.8573 data_time: 0.0259 memory: 19726 grad_norm: 3.9101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8041 loss: 0.8041 2022/08/09 07:13:07 - mmengine - INFO - Epoch(train) [33][700/1879] lr: 2.0000e-03 eta: 7:54:04 time: 0.8520 data_time: 0.0195 memory: 19726 grad_norm: 3.8159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8956 loss: 0.8956 2022/08/09 07:13:25 - mmengine - INFO - Epoch(train) [33][720/1879] lr: 2.0000e-03 eta: 7:53:47 time: 0.8524 data_time: 0.0187 memory: 19726 grad_norm: 3.8520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1418 loss: 1.1418 2022/08/09 07:13:42 - mmengine - INFO - Epoch(train) [33][740/1879] lr: 2.0000e-03 eta: 7:53:30 time: 0.8583 data_time: 0.0205 memory: 19726 grad_norm: 4.0230 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7620 loss: 0.7620 2022/08/09 07:13:59 - mmengine - INFO - Epoch(train) [33][760/1879] lr: 2.0000e-03 eta: 7:53:12 time: 0.8517 data_time: 0.0199 memory: 19726 grad_norm: 3.9151 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7667 loss: 0.7667 2022/08/09 07:14:16 - mmengine - INFO - Epoch(train) [33][780/1879] lr: 2.0000e-03 eta: 7:52:55 time: 0.8522 data_time: 0.0199 memory: 19726 grad_norm: 3.9011 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8186 loss: 0.8186 2022/08/09 07:14:33 - mmengine - INFO - Epoch(train) [33][800/1879] lr: 2.0000e-03 eta: 7:52:38 time: 0.8496 data_time: 0.0183 memory: 19726 grad_norm: 3.9474 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8628 loss: 0.8628 2022/08/09 07:14:50 - mmengine - INFO - Epoch(train) [33][820/1879] lr: 2.0000e-03 eta: 7:52:21 time: 0.8523 data_time: 0.0195 memory: 19726 grad_norm: 3.8761 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8508 loss: 0.8508 2022/08/09 07:15:07 - mmengine - INFO - Epoch(train) [33][840/1879] lr: 2.0000e-03 eta: 7:52:04 time: 0.8608 data_time: 0.0205 memory: 19726 grad_norm: 3.8608 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9876 loss: 0.9876 2022/08/09 07:15:25 - mmengine - INFO - Epoch(train) [33][860/1879] lr: 2.0000e-03 eta: 7:51:47 time: 0.8820 data_time: 0.0217 memory: 19726 grad_norm: 3.9503 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8566 loss: 0.8566 2022/08/09 07:15:35 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 07:15:42 - mmengine - INFO - Epoch(train) [33][880/1879] lr: 2.0000e-03 eta: 7:51:29 time: 0.8547 data_time: 0.0197 memory: 19726 grad_norm: 4.0458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8300 loss: 0.8300 2022/08/09 07:15:59 - mmengine - INFO - Epoch(train) [33][900/1879] lr: 2.0000e-03 eta: 7:51:12 time: 0.8541 data_time: 0.0185 memory: 19726 grad_norm: 4.0131 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9653 loss: 0.9653 2022/08/09 07:16:16 - mmengine - INFO - Epoch(train) [33][920/1879] lr: 2.0000e-03 eta: 7:50:55 time: 0.8616 data_time: 0.0215 memory: 19726 grad_norm: 3.9772 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9280 loss: 0.9280 2022/08/09 07:16:33 - mmengine - INFO - Epoch(train) [33][940/1879] lr: 2.0000e-03 eta: 7:50:38 time: 0.8521 data_time: 0.0215 memory: 19726 grad_norm: 3.8287 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/08/09 07:16:50 - mmengine - INFO - Epoch(train) [33][960/1879] lr: 2.0000e-03 eta: 7:50:21 time: 0.8552 data_time: 0.0193 memory: 19726 grad_norm: 3.9795 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9452 loss: 0.9452 2022/08/09 07:17:07 - mmengine - INFO - Epoch(train) [33][980/1879] lr: 2.0000e-03 eta: 7:50:03 time: 0.8530 data_time: 0.0198 memory: 19726 grad_norm: 3.9186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8880 loss: 0.8880 2022/08/09 07:17:25 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 2.0000e-03 eta: 7:49:46 time: 0.8610 data_time: 0.0237 memory: 19726 grad_norm: 4.0236 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9289 loss: 0.9289 2022/08/09 07:17:42 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 2.0000e-03 eta: 7:49:29 time: 0.8511 data_time: 0.0200 memory: 19726 grad_norm: 4.0241 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0162 loss: 1.0162 2022/08/09 07:17:59 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 2.0000e-03 eta: 7:49:12 time: 0.8671 data_time: 0.0196 memory: 19726 grad_norm: 3.9764 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9642 loss: 0.9642 2022/08/09 07:18:16 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 2.0000e-03 eta: 7:48:55 time: 0.8543 data_time: 0.0204 memory: 19726 grad_norm: 4.0654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8316 loss: 0.8316 2022/08/09 07:18:33 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 2.0000e-03 eta: 7:48:37 time: 0.8540 data_time: 0.0198 memory: 19726 grad_norm: 3.9395 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9425 loss: 0.9425 2022/08/09 07:18:50 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 2.0000e-03 eta: 7:48:20 time: 0.8498 data_time: 0.0189 memory: 19726 grad_norm: 3.9497 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8414 loss: 0.8414 2022/08/09 07:19:07 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 2.0000e-03 eta: 7:48:03 time: 0.8554 data_time: 0.0182 memory: 19726 grad_norm: 3.9777 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9744 loss: 0.9744 2022/08/09 07:19:24 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 2.0000e-03 eta: 7:47:46 time: 0.8495 data_time: 0.0187 memory: 19726 grad_norm: 3.8751 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9937 loss: 0.9937 2022/08/09 07:19:41 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 2.0000e-03 eta: 7:47:28 time: 0.8501 data_time: 0.0188 memory: 19726 grad_norm: 3.8778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/09 07:19:58 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 2.0000e-03 eta: 7:47:11 time: 0.8520 data_time: 0.0188 memory: 19726 grad_norm: 3.8601 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8626 loss: 0.8626 2022/08/09 07:20:16 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 2.0000e-03 eta: 7:46:54 time: 0.8654 data_time: 0.0241 memory: 19726 grad_norm: 4.0098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7756 loss: 0.7756 2022/08/09 07:20:33 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 2.0000e-03 eta: 7:46:37 time: 0.8589 data_time: 0.0197 memory: 19726 grad_norm: 3.8962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7969 loss: 0.7969 2022/08/09 07:20:50 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 2.0000e-03 eta: 7:46:20 time: 0.8547 data_time: 0.0194 memory: 19726 grad_norm: 4.0393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9510 loss: 0.9510 2022/08/09 07:21:07 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 2.0000e-03 eta: 7:46:02 time: 0.8506 data_time: 0.0199 memory: 19726 grad_norm: 3.8292 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7955 loss: 0.7955 2022/08/09 07:21:24 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 2.0000e-03 eta: 7:45:45 time: 0.8522 data_time: 0.0196 memory: 19726 grad_norm: 3.8997 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9246 loss: 0.9246 2022/08/09 07:21:41 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 2.0000e-03 eta: 7:45:28 time: 0.8526 data_time: 0.0192 memory: 19726 grad_norm: 3.9069 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8978 loss: 0.8978 2022/08/09 07:21:58 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 2.0000e-03 eta: 7:45:11 time: 0.8566 data_time: 0.0206 memory: 19726 grad_norm: 3.9083 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8204 loss: 0.8204 2022/08/09 07:22:15 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 2.0000e-03 eta: 7:44:53 time: 0.8519 data_time: 0.0200 memory: 19726 grad_norm: 3.9392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8811 loss: 0.8811 2022/08/09 07:22:32 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 2.0000e-03 eta: 7:44:36 time: 0.8491 data_time: 0.0181 memory: 19726 grad_norm: 4.0437 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8301 loss: 0.8301 2022/08/09 07:22:49 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 2.0000e-03 eta: 7:44:19 time: 0.8561 data_time: 0.0187 memory: 19726 grad_norm: 3.9322 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0033 loss: 1.0033 2022/08/09 07:23:06 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 2.0000e-03 eta: 7:44:02 time: 0.8517 data_time: 0.0193 memory: 19726 grad_norm: 4.0568 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8977 loss: 0.8977 2022/08/09 07:23:23 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 2.0000e-03 eta: 7:43:44 time: 0.8506 data_time: 0.0199 memory: 19726 grad_norm: 3.8601 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9123 loss: 0.9123 2022/08/09 07:23:41 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 2.0000e-03 eta: 7:43:27 time: 0.8542 data_time: 0.0196 memory: 19726 grad_norm: 4.0211 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7718 loss: 0.7718 2022/08/09 07:23:58 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 2.0000e-03 eta: 7:43:10 time: 0.8525 data_time: 0.0196 memory: 19726 grad_norm: 3.9892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9247 loss: 0.9247 2022/08/09 07:24:15 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 2.0000e-03 eta: 7:42:53 time: 0.8506 data_time: 0.0187 memory: 19726 grad_norm: 3.8161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7776 loss: 0.7776 2022/08/09 07:24:32 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 2.0000e-03 eta: 7:42:35 time: 0.8499 data_time: 0.0183 memory: 19726 grad_norm: 4.0265 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8497 loss: 0.8497 2022/08/09 07:24:49 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 2.0000e-03 eta: 7:42:18 time: 0.8573 data_time: 0.0188 memory: 19726 grad_norm: 3.9388 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0860 loss: 1.0860 2022/08/09 07:25:06 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 2.0000e-03 eta: 7:42:01 time: 0.8538 data_time: 0.0209 memory: 19726 grad_norm: 4.0316 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7512 loss: 0.7512 2022/08/09 07:25:23 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 2.0000e-03 eta: 7:41:44 time: 0.8550 data_time: 0.0194 memory: 19726 grad_norm: 3.8874 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8628 loss: 0.8628 2022/08/09 07:25:40 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 2.0000e-03 eta: 7:41:27 time: 0.8505 data_time: 0.0189 memory: 19726 grad_norm: 3.9802 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8116 loss: 0.8116 2022/08/09 07:25:57 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 2.0000e-03 eta: 7:41:09 time: 0.8558 data_time: 0.0197 memory: 19726 grad_norm: 3.9853 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7460 loss: 0.7460 2022/08/09 07:26:14 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 2.0000e-03 eta: 7:40:52 time: 0.8515 data_time: 0.0191 memory: 19726 grad_norm: 3.9418 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9498 loss: 0.9498 2022/08/09 07:26:31 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 2.0000e-03 eta: 7:40:35 time: 0.8555 data_time: 0.0199 memory: 19726 grad_norm: 3.9573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8721 loss: 0.8721 2022/08/09 07:26:48 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 2.0000e-03 eta: 7:40:18 time: 0.8519 data_time: 0.0195 memory: 19726 grad_norm: 3.9084 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8908 loss: 0.8908 2022/08/09 07:27:05 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 2.0000e-03 eta: 7:40:00 time: 0.8542 data_time: 0.0194 memory: 19726 grad_norm: 3.9452 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0351 loss: 1.0351 2022/08/09 07:27:22 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 2.0000e-03 eta: 7:39:43 time: 0.8533 data_time: 0.0189 memory: 19726 grad_norm: 3.9482 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8722 loss: 0.8722 2022/08/09 07:27:40 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 2.0000e-03 eta: 7:39:26 time: 0.8553 data_time: 0.0189 memory: 19726 grad_norm: 3.8740 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8482 loss: 0.8482 2022/08/09 07:27:57 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 2.0000e-03 eta: 7:39:09 time: 0.8538 data_time: 0.0199 memory: 19726 grad_norm: 3.9058 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8238 loss: 0.8238 2022/08/09 07:28:14 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 2.0000e-03 eta: 7:38:51 time: 0.8489 data_time: 0.0180 memory: 19726 grad_norm: 3.9798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9091 loss: 0.9091 2022/08/09 07:28:31 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 2.0000e-03 eta: 7:38:34 time: 0.8538 data_time: 0.0190 memory: 19726 grad_norm: 4.0335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/08/09 07:28:48 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 2.0000e-03 eta: 7:38:17 time: 0.8538 data_time: 0.0213 memory: 19726 grad_norm: 3.9128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9759 loss: 0.9759 2022/08/09 07:29:05 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 2.0000e-03 eta: 7:38:00 time: 0.8584 data_time: 0.0203 memory: 19726 grad_norm: 4.0444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9585 loss: 0.9585 2022/08/09 07:29:22 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 2.0000e-03 eta: 7:37:43 time: 0.8506 data_time: 0.0194 memory: 19726 grad_norm: 3.8375 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8917 loss: 0.8917 2022/08/09 07:29:39 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 2.0000e-03 eta: 7:37:25 time: 0.8538 data_time: 0.0195 memory: 19726 grad_norm: 3.8399 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8060 loss: 0.8060 2022/08/09 07:29:49 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 07:29:55 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 07:29:55 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 2.0000e-03 eta: 7:37:25 time: 0.8252 data_time: 0.0176 memory: 19726 grad_norm: 4.0823 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8089 loss: 0.8089 2022/08/09 07:29:55 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/09 07:30:14 - mmengine - INFO - Epoch(val) [33][20/155] eta: 0:01:51 time: 0.8286 data_time: 0.5893 memory: 2699 2022/08/09 07:30:24 - mmengine - INFO - Epoch(val) [33][40/155] eta: 0:00:56 time: 0.4906 data_time: 0.2504 memory: 2699 2022/08/09 07:30:36 - mmengine - INFO - Epoch(val) [33][60/155] eta: 0:00:57 time: 0.6081 data_time: 0.3685 memory: 2699 2022/08/09 07:30:46 - mmengine - INFO - Epoch(val) [33][80/155] eta: 0:00:36 time: 0.4913 data_time: 0.2434 memory: 2699 2022/08/09 07:30:58 - mmengine - INFO - Epoch(val) [33][100/155] eta: 0:00:32 time: 0.5930 data_time: 0.3540 memory: 2699 2022/08/09 07:31:08 - mmengine - INFO - Epoch(val) [33][120/155] eta: 0:00:18 time: 0.5393 data_time: 0.3002 memory: 2699 2022/08/09 07:31:21 - mmengine - INFO - Epoch(val) [33][140/155] eta: 0:00:09 time: 0.6422 data_time: 0.4036 memory: 2699 2022/08/09 07:31:28 - mmengine - INFO - Epoch(val) [33][155/155] acc/top1: 0.7201 acc/top5: 0.9039 acc/mean1: 0.7200 2022/08/09 07:31:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_31.pth is removed 2022/08/09 07:31:30 - mmengine - INFO - The best checkpoint with 0.7201 acc/top1 at 34 epoch is saved to best_acc/top1_epoch_34.pth. 2022/08/09 07:31:52 - mmengine - INFO - Epoch(train) [34][20/1879] lr: 2.0000e-03 eta: 7:36:46 time: 1.0796 data_time: 0.2364 memory: 19726 grad_norm: 3.8160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9940 loss: 0.9940 2022/08/09 07:32:09 - mmengine - INFO - Epoch(train) [34][40/1879] lr: 2.0000e-03 eta: 7:36:29 time: 0.8513 data_time: 0.0197 memory: 19726 grad_norm: 3.9059 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/08/09 07:32:26 - mmengine - INFO - Epoch(train) [34][60/1879] lr: 2.0000e-03 eta: 7:36:11 time: 0.8553 data_time: 0.0182 memory: 19726 grad_norm: 3.8556 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.7944 loss: 0.7944 2022/08/09 07:32:43 - mmengine - INFO - Epoch(train) [34][80/1879] lr: 2.0000e-03 eta: 7:35:54 time: 0.8472 data_time: 0.0183 memory: 19726 grad_norm: 3.8539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9291 loss: 0.9291 2022/08/09 07:33:00 - mmengine - INFO - Epoch(train) [34][100/1879] lr: 2.0000e-03 eta: 7:35:37 time: 0.8491 data_time: 0.0191 memory: 19726 grad_norm: 3.7939 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9588 loss: 0.9588 2022/08/09 07:33:17 - mmengine - INFO - Epoch(train) [34][120/1879] lr: 2.0000e-03 eta: 7:35:20 time: 0.8572 data_time: 0.0200 memory: 19726 grad_norm: 3.8017 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7906 loss: 0.7906 2022/08/09 07:33:34 - mmengine - INFO - Epoch(train) [34][140/1879] lr: 2.0000e-03 eta: 7:35:02 time: 0.8506 data_time: 0.0188 memory: 19726 grad_norm: 3.8841 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9575 loss: 0.9575 2022/08/09 07:33:51 - mmengine - INFO - Epoch(train) [34][160/1879] lr: 2.0000e-03 eta: 7:34:45 time: 0.8564 data_time: 0.0187 memory: 19726 grad_norm: 3.8071 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8010 loss: 0.8010 2022/08/09 07:34:08 - mmengine - INFO - Epoch(train) [34][180/1879] lr: 2.0000e-03 eta: 7:34:28 time: 0.8519 data_time: 0.0188 memory: 19726 grad_norm: 3.7991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7815 loss: 0.7815 2022/08/09 07:34:25 - mmengine - INFO - Epoch(train) [34][200/1879] lr: 2.0000e-03 eta: 7:34:11 time: 0.8504 data_time: 0.0184 memory: 19726 grad_norm: 3.9686 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7172 loss: 0.7172 2022/08/09 07:34:42 - mmengine - INFO - Epoch(train) [34][220/1879] lr: 2.0000e-03 eta: 7:33:53 time: 0.8539 data_time: 0.0186 memory: 19726 grad_norm: 3.8639 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9784 loss: 0.9784 2022/08/09 07:34:59 - mmengine - INFO - Epoch(train) [34][240/1879] lr: 2.0000e-03 eta: 7:33:36 time: 0.8539 data_time: 0.0196 memory: 19726 grad_norm: 3.9428 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7399 loss: 0.7399 2022/08/09 07:35:17 - mmengine - INFO - Epoch(train) [34][260/1879] lr: 2.0000e-03 eta: 7:33:19 time: 0.8697 data_time: 0.0231 memory: 19726 grad_norm: 3.8898 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9886 loss: 0.9886 2022/08/09 07:35:34 - mmengine - INFO - Epoch(train) [34][280/1879] lr: 2.0000e-03 eta: 7:33:02 time: 0.8567 data_time: 0.0183 memory: 19726 grad_norm: 3.9066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8757 loss: 0.8757 2022/08/09 07:35:51 - mmengine - INFO - Epoch(train) [34][300/1879] lr: 2.0000e-03 eta: 7:32:45 time: 0.8529 data_time: 0.0196 memory: 19726 grad_norm: 3.9931 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8472 loss: 0.8472 2022/08/09 07:36:08 - mmengine - INFO - Epoch(train) [34][320/1879] lr: 2.0000e-03 eta: 7:32:28 time: 0.8550 data_time: 0.0193 memory: 19726 grad_norm: 3.8341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8227 loss: 0.8227 2022/08/09 07:36:25 - mmengine - INFO - Epoch(train) [34][340/1879] lr: 2.0000e-03 eta: 7:32:10 time: 0.8488 data_time: 0.0193 memory: 19726 grad_norm: 4.0285 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9728 loss: 0.9728 2022/08/09 07:36:42 - mmengine - INFO - Epoch(train) [34][360/1879] lr: 2.0000e-03 eta: 7:31:53 time: 0.8557 data_time: 0.0192 memory: 19726 grad_norm: 3.9798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8738 loss: 0.8738 2022/08/09 07:36:59 - mmengine - INFO - Epoch(train) [34][380/1879] lr: 2.0000e-03 eta: 7:31:36 time: 0.8508 data_time: 0.0199 memory: 19726 grad_norm: 3.8922 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9339 loss: 0.9339 2022/08/09 07:37:16 - mmengine - INFO - Epoch(train) [34][400/1879] lr: 2.0000e-03 eta: 7:31:19 time: 0.8540 data_time: 0.0187 memory: 19726 grad_norm: 3.9538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8561 loss: 0.8561 2022/08/09 07:37:33 - mmengine - INFO - Epoch(train) [34][420/1879] lr: 2.0000e-03 eta: 7:31:01 time: 0.8511 data_time: 0.0205 memory: 19726 grad_norm: 3.7204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7356 loss: 0.7356 2022/08/09 07:37:50 - mmengine - INFO - Epoch(train) [34][440/1879] lr: 2.0000e-03 eta: 7:30:44 time: 0.8614 data_time: 0.0193 memory: 19726 grad_norm: 3.9154 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8720 loss: 0.8720 2022/08/09 07:38:08 - mmengine - INFO - Epoch(train) [34][460/1879] lr: 2.0000e-03 eta: 7:30:27 time: 0.8544 data_time: 0.0190 memory: 19726 grad_norm: 3.9725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9583 loss: 0.9583 2022/08/09 07:38:25 - mmengine - INFO - Epoch(train) [34][480/1879] lr: 2.0000e-03 eta: 7:30:10 time: 0.8481 data_time: 0.0185 memory: 19726 grad_norm: 4.0131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8565 loss: 0.8565 2022/08/09 07:38:42 - mmengine - INFO - Epoch(train) [34][500/1879] lr: 2.0000e-03 eta: 7:29:53 time: 0.8571 data_time: 0.0193 memory: 19726 grad_norm: 3.9839 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8740 loss: 0.8740 2022/08/09 07:38:59 - mmengine - INFO - Epoch(train) [34][520/1879] lr: 2.0000e-03 eta: 7:29:35 time: 0.8521 data_time: 0.0204 memory: 19726 grad_norm: 3.9216 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8150 loss: 0.8150 2022/08/09 07:39:16 - mmengine - INFO - Epoch(train) [34][540/1879] lr: 2.0000e-03 eta: 7:29:18 time: 0.8560 data_time: 0.0198 memory: 19726 grad_norm: 3.9596 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9342 loss: 0.9342 2022/08/09 07:39:33 - mmengine - INFO - Epoch(train) [34][560/1879] lr: 2.0000e-03 eta: 7:29:01 time: 0.8496 data_time: 0.0190 memory: 19726 grad_norm: 3.8500 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9541 loss: 0.9541 2022/08/09 07:39:50 - mmengine - INFO - Epoch(train) [34][580/1879] lr: 2.0000e-03 eta: 7:28:44 time: 0.8576 data_time: 0.0193 memory: 19726 grad_norm: 3.9647 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8754 loss: 0.8754 2022/08/09 07:40:07 - mmengine - INFO - Epoch(train) [34][600/1879] lr: 2.0000e-03 eta: 7:28:26 time: 0.8523 data_time: 0.0197 memory: 19726 grad_norm: 3.8481 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7066 loss: 0.7066 2022/08/09 07:40:24 - mmengine - INFO - Epoch(train) [34][620/1879] lr: 2.0000e-03 eta: 7:28:09 time: 0.8590 data_time: 0.0205 memory: 19726 grad_norm: 3.8865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8950 loss: 0.8950 2022/08/09 07:40:41 - mmengine - INFO - Epoch(train) [34][640/1879] lr: 2.0000e-03 eta: 7:27:52 time: 0.8545 data_time: 0.0195 memory: 19726 grad_norm: 4.0558 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7804 loss: 0.7804 2022/08/09 07:40:58 - mmengine - INFO - Epoch(train) [34][660/1879] lr: 2.0000e-03 eta: 7:27:35 time: 0.8533 data_time: 0.0198 memory: 19726 grad_norm: 3.8955 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7601 loss: 0.7601 2022/08/09 07:41:15 - mmengine - INFO - Epoch(train) [34][680/1879] lr: 2.0000e-03 eta: 7:27:18 time: 0.8499 data_time: 0.0188 memory: 19726 grad_norm: 3.9843 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9751 loss: 0.9751 2022/08/09 07:41:33 - mmengine - INFO - Epoch(train) [34][700/1879] lr: 2.0000e-03 eta: 7:27:00 time: 0.8528 data_time: 0.0194 memory: 19726 grad_norm: 3.9969 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9698 loss: 0.9698 2022/08/09 07:41:50 - mmengine - INFO - Epoch(train) [34][720/1879] lr: 2.0000e-03 eta: 7:26:43 time: 0.8623 data_time: 0.0203 memory: 19726 grad_norm: 4.0009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9470 loss: 0.9470 2022/08/09 07:42:07 - mmengine - INFO - Epoch(train) [34][740/1879] lr: 2.0000e-03 eta: 7:26:26 time: 0.8564 data_time: 0.0198 memory: 19726 grad_norm: 4.1401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9923 loss: 0.9923 2022/08/09 07:42:24 - mmengine - INFO - Epoch(train) [34][760/1879] lr: 2.0000e-03 eta: 7:26:09 time: 0.8509 data_time: 0.0192 memory: 19726 grad_norm: 4.0322 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7599 loss: 0.7599 2022/08/09 07:42:41 - mmengine - INFO - Epoch(train) [34][780/1879] lr: 2.0000e-03 eta: 7:25:52 time: 0.8574 data_time: 0.0201 memory: 19726 grad_norm: 3.9069 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7768 loss: 0.7768 2022/08/09 07:42:58 - mmengine - INFO - Epoch(train) [34][800/1879] lr: 2.0000e-03 eta: 7:25:34 time: 0.8546 data_time: 0.0197 memory: 19726 grad_norm: 3.8746 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9484 loss: 0.9484 2022/08/09 07:43:15 - mmengine - INFO - Epoch(train) [34][820/1879] lr: 2.0000e-03 eta: 7:25:17 time: 0.8561 data_time: 0.0195 memory: 19726 grad_norm: 3.8641 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7915 loss: 0.7915 2022/08/09 07:43:32 - mmengine - INFO - Epoch(train) [34][840/1879] lr: 2.0000e-03 eta: 7:25:00 time: 0.8540 data_time: 0.0198 memory: 19726 grad_norm: 4.0993 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8942 loss: 0.8942 2022/08/09 07:43:50 - mmengine - INFO - Epoch(train) [34][860/1879] lr: 2.0000e-03 eta: 7:24:43 time: 0.8571 data_time: 0.0188 memory: 19726 grad_norm: 4.0417 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0380 loss: 1.0380 2022/08/09 07:44:07 - mmengine - INFO - Epoch(train) [34][880/1879] lr: 2.0000e-03 eta: 7:24:26 time: 0.8488 data_time: 0.0183 memory: 19726 grad_norm: 3.9059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9420 loss: 0.9420 2022/08/09 07:44:24 - mmengine - INFO - Epoch(train) [34][900/1879] lr: 2.0000e-03 eta: 7:24:08 time: 0.8490 data_time: 0.0187 memory: 19726 grad_norm: 3.8529 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9156 loss: 0.9156 2022/08/09 07:44:41 - mmengine - INFO - Epoch(train) [34][920/1879] lr: 2.0000e-03 eta: 7:23:51 time: 0.8548 data_time: 0.0181 memory: 19726 grad_norm: 3.8942 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6420 loss: 0.6420 2022/08/09 07:44:58 - mmengine - INFO - Epoch(train) [34][940/1879] lr: 2.0000e-03 eta: 7:23:34 time: 0.8515 data_time: 0.0197 memory: 19726 grad_norm: 3.9629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0323 loss: 1.0323 2022/08/09 07:45:15 - mmengine - INFO - Epoch(train) [34][960/1879] lr: 2.0000e-03 eta: 7:23:17 time: 0.8901 data_time: 0.0257 memory: 19726 grad_norm: 3.8760 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 0.9577 loss: 0.9577 2022/08/09 07:45:33 - mmengine - INFO - Epoch(train) [34][980/1879] lr: 2.0000e-03 eta: 7:23:00 time: 0.8566 data_time: 0.0197 memory: 19726 grad_norm: 4.0095 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8576 loss: 0.8576 2022/08/09 07:45:44 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 07:45:50 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 2.0000e-03 eta: 7:22:43 time: 0.8545 data_time: 0.0205 memory: 19726 grad_norm: 3.9461 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8527 loss: 0.8527 2022/08/09 07:46:07 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 2.0000e-03 eta: 7:22:25 time: 0.8613 data_time: 0.0302 memory: 19726 grad_norm: 4.0487 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0970 loss: 1.0970 2022/08/09 07:46:24 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 2.0000e-03 eta: 7:22:08 time: 0.8531 data_time: 0.0193 memory: 19726 grad_norm: 3.8973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9215 loss: 0.9215 2022/08/09 07:46:41 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 2.0000e-03 eta: 7:21:51 time: 0.8512 data_time: 0.0196 memory: 19726 grad_norm: 3.9576 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9784 loss: 0.9784 2022/08/09 07:46:58 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 2.0000e-03 eta: 7:21:34 time: 0.8619 data_time: 0.0199 memory: 19726 grad_norm: 3.8968 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8004 loss: 0.8004 2022/08/09 07:47:15 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 2.0000e-03 eta: 7:21:17 time: 0.8504 data_time: 0.0192 memory: 19726 grad_norm: 3.8260 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7767 loss: 0.7767 2022/08/09 07:47:32 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 2.0000e-03 eta: 7:20:59 time: 0.8534 data_time: 0.0192 memory: 19726 grad_norm: 3.9894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7903 loss: 0.7903 2022/08/09 07:47:50 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 2.0000e-03 eta: 7:20:42 time: 0.8627 data_time: 0.0196 memory: 19726 grad_norm: 3.9630 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9432 loss: 0.9432 2022/08/09 07:48:07 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 2.0000e-03 eta: 7:20:25 time: 0.8508 data_time: 0.0200 memory: 19726 grad_norm: 4.0505 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9148 loss: 0.9148 2022/08/09 07:48:24 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 2.0000e-03 eta: 7:20:08 time: 0.8519 data_time: 0.0194 memory: 19726 grad_norm: 3.8660 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7941 loss: 0.7941 2022/08/09 07:48:41 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 2.0000e-03 eta: 7:19:51 time: 0.8601 data_time: 0.0198 memory: 19726 grad_norm: 3.9292 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9176 loss: 0.9176 2022/08/09 07:48:58 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 2.0000e-03 eta: 7:19:33 time: 0.8486 data_time: 0.0194 memory: 19726 grad_norm: 4.0039 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8560 loss: 0.8560 2022/08/09 07:49:15 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 2.0000e-03 eta: 7:19:16 time: 0.8491 data_time: 0.0189 memory: 19726 grad_norm: 4.0594 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9595 loss: 0.9595 2022/08/09 07:49:32 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 2.0000e-03 eta: 7:18:59 time: 0.8576 data_time: 0.0194 memory: 19726 grad_norm: 4.0030 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/09 07:49:49 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 2.0000e-03 eta: 7:18:42 time: 0.8609 data_time: 0.0256 memory: 19726 grad_norm: 3.9917 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9181 loss: 0.9181 2022/08/09 07:50:06 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 2.0000e-03 eta: 7:18:25 time: 0.8514 data_time: 0.0195 memory: 19726 grad_norm: 3.9836 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9749 loss: 0.9749 2022/08/09 07:50:24 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 2.0000e-03 eta: 7:18:08 time: 0.8806 data_time: 0.0286 memory: 19726 grad_norm: 3.8696 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9437 loss: 0.9437 2022/08/09 07:50:41 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 2.0000e-03 eta: 7:17:50 time: 0.8561 data_time: 0.0168 memory: 19726 grad_norm: 3.9453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9587 loss: 0.9587 2022/08/09 07:50:58 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 2.0000e-03 eta: 7:17:33 time: 0.8515 data_time: 0.0197 memory: 19726 grad_norm: 3.9962 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9114 loss: 0.9114 2022/08/09 07:51:15 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 2.0000e-03 eta: 7:17:16 time: 0.8547 data_time: 0.0186 memory: 19726 grad_norm: 3.9732 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0585 loss: 1.0585 2022/08/09 07:51:32 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 2.0000e-03 eta: 7:16:59 time: 0.8524 data_time: 0.0195 memory: 19726 grad_norm: 3.9853 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8366 loss: 0.8366 2022/08/09 07:51:49 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 2.0000e-03 eta: 7:16:42 time: 0.8561 data_time: 0.0198 memory: 19726 grad_norm: 4.0637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8837 loss: 0.8837 2022/08/09 07:52:07 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 2.0000e-03 eta: 7:16:24 time: 0.8598 data_time: 0.0212 memory: 19726 grad_norm: 3.9650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8444 loss: 0.8444 2022/08/09 07:52:24 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 2.0000e-03 eta: 7:16:07 time: 0.8576 data_time: 0.0195 memory: 19726 grad_norm: 3.9785 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8635 loss: 0.8635 2022/08/09 07:52:41 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 2.0000e-03 eta: 7:15:50 time: 0.8526 data_time: 0.0194 memory: 19726 grad_norm: 3.8593 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8698 loss: 0.8698 2022/08/09 07:52:58 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 2.0000e-03 eta: 7:15:33 time: 0.8489 data_time: 0.0184 memory: 19726 grad_norm: 4.0274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8278 loss: 0.8278 2022/08/09 07:53:15 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 2.0000e-03 eta: 7:15:16 time: 0.8504 data_time: 0.0188 memory: 19726 grad_norm: 3.9563 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9801 loss: 0.9801 2022/08/09 07:53:32 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 2.0000e-03 eta: 7:14:58 time: 0.8561 data_time: 0.0251 memory: 19726 grad_norm: 3.9418 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8928 loss: 0.8928 2022/08/09 07:53:49 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 2.0000e-03 eta: 7:14:41 time: 0.8568 data_time: 0.0198 memory: 19726 grad_norm: 3.9537 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9751 loss: 0.9751 2022/08/09 07:54:06 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 2.0000e-03 eta: 7:14:24 time: 0.8514 data_time: 0.0199 memory: 19726 grad_norm: 3.8476 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8554 loss: 0.8554 2022/08/09 07:54:23 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 2.0000e-03 eta: 7:14:07 time: 0.8529 data_time: 0.0190 memory: 19726 grad_norm: 3.9977 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9854 loss: 0.9854 2022/08/09 07:54:40 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 2.0000e-03 eta: 7:13:49 time: 0.8492 data_time: 0.0191 memory: 19726 grad_norm: 3.9948 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8420 loss: 0.8420 2022/08/09 07:54:57 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 2.0000e-03 eta: 7:13:32 time: 0.8504 data_time: 0.0182 memory: 19726 grad_norm: 3.8729 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8405 loss: 0.8405 2022/08/09 07:55:14 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 2.0000e-03 eta: 7:13:15 time: 0.8608 data_time: 0.0232 memory: 19726 grad_norm: 4.0766 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0431 loss: 1.0431 2022/08/09 07:55:32 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 2.0000e-03 eta: 7:12:58 time: 0.8610 data_time: 0.0201 memory: 19726 grad_norm: 4.0485 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9883 loss: 0.9883 2022/08/09 07:55:49 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 2.0000e-03 eta: 7:12:41 time: 0.8513 data_time: 0.0197 memory: 19726 grad_norm: 4.1152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8921 loss: 0.8921 2022/08/09 07:56:06 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 2.0000e-03 eta: 7:12:23 time: 0.8574 data_time: 0.0191 memory: 19726 grad_norm: 3.9927 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/08/09 07:56:23 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 2.0000e-03 eta: 7:12:06 time: 0.8507 data_time: 0.0197 memory: 19726 grad_norm: 4.1035 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8497 loss: 0.8497 2022/08/09 07:56:40 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 2.0000e-03 eta: 7:11:49 time: 0.8529 data_time: 0.0206 memory: 19726 grad_norm: 3.8557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7398 loss: 0.7398 2022/08/09 07:56:57 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 2.0000e-03 eta: 7:11:32 time: 0.8498 data_time: 0.0185 memory: 19726 grad_norm: 4.1188 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0320 loss: 1.0320 2022/08/09 07:57:14 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 2.0000e-03 eta: 7:11:15 time: 0.8559 data_time: 0.0199 memory: 19726 grad_norm: 4.1438 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9424 loss: 0.9424 2022/08/09 07:57:31 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 2.0000e-03 eta: 7:10:57 time: 0.8540 data_time: 0.0192 memory: 19726 grad_norm: 4.0178 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8355 loss: 0.8355 2022/08/09 07:57:48 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 2.0000e-03 eta: 7:10:40 time: 0.8524 data_time: 0.0194 memory: 19726 grad_norm: 4.0562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9189 loss: 0.9189 2022/08/09 07:58:05 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 2.0000e-03 eta: 7:10:23 time: 0.8525 data_time: 0.0198 memory: 19726 grad_norm: 4.0297 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9488 loss: 0.9488 2022/08/09 07:58:21 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 07:58:21 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 2.0000e-03 eta: 7:10:23 time: 0.8286 data_time: 0.0194 memory: 19726 grad_norm: 4.2125 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.0550 loss: 1.0550 2022/08/09 07:58:35 - mmengine - INFO - Epoch(val) [34][20/155] eta: 0:01:33 time: 0.6919 data_time: 0.4509 memory: 2699 2022/08/09 07:58:44 - mmengine - INFO - Epoch(val) [34][40/155] eta: 0:00:53 time: 0.4643 data_time: 0.2234 memory: 2699 2022/08/09 07:58:56 - mmengine - INFO - Epoch(val) [34][60/155] eta: 0:00:58 time: 0.6138 data_time: 0.3745 memory: 2699 2022/08/09 07:59:06 - mmengine - INFO - Epoch(val) [34][80/155] eta: 0:00:37 time: 0.4946 data_time: 0.2541 memory: 2699 2022/08/09 07:59:18 - mmengine - INFO - Epoch(val) [34][100/155] eta: 0:00:32 time: 0.5888 data_time: 0.3490 memory: 2699 2022/08/09 07:59:28 - mmengine - INFO - Epoch(val) [34][120/155] eta: 0:00:17 time: 0.5034 data_time: 0.2646 memory: 2699 2022/08/09 07:59:41 - mmengine - INFO - Epoch(val) [34][140/155] eta: 0:00:09 time: 0.6593 data_time: 0.4183 memory: 2699 2022/08/09 07:59:50 - mmengine - INFO - Epoch(val) [34][155/155] acc/top1: 0.7210 acc/top5: 0.9049 acc/mean1: 0.7209 2022/08/09 07:59:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_34.pth is removed 2022/08/09 07:59:52 - mmengine - INFO - The best checkpoint with 0.7210 acc/top1 at 35 epoch is saved to best_acc/top1_epoch_35.pth. 2022/08/09 08:00:13 - mmengine - INFO - Epoch(train) [35][20/1879] lr: 2.0000e-03 eta: 7:09:44 time: 1.0702 data_time: 0.2246 memory: 19726 grad_norm: 3.9227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8593 loss: 0.8593 2022/08/09 08:00:31 - mmengine - INFO - Epoch(train) [35][40/1879] lr: 2.0000e-03 eta: 7:09:27 time: 0.8641 data_time: 0.0220 memory: 19726 grad_norm: 3.8082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8583 loss: 0.8583 2022/08/09 08:00:48 - mmengine - INFO - Epoch(train) [35][60/1879] lr: 2.0000e-03 eta: 7:09:09 time: 0.8472 data_time: 0.0189 memory: 19726 grad_norm: 3.8735 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7446 loss: 0.7446 2022/08/09 08:01:05 - mmengine - INFO - Epoch(train) [35][80/1879] lr: 2.0000e-03 eta: 7:08:52 time: 0.8498 data_time: 0.0191 memory: 19726 grad_norm: 3.9250 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8658 loss: 0.8658 2022/08/09 08:01:22 - mmengine - INFO - Epoch(train) [35][100/1879] lr: 2.0000e-03 eta: 7:08:35 time: 0.8524 data_time: 0.0196 memory: 19726 grad_norm: 3.9094 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9771 loss: 0.9771 2022/08/09 08:01:34 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 08:01:39 - mmengine - INFO - Epoch(train) [35][120/1879] lr: 2.0000e-03 eta: 7:08:18 time: 0.8532 data_time: 0.0184 memory: 19726 grad_norm: 3.9256 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/08/09 08:01:56 - mmengine - INFO - Epoch(train) [35][140/1879] lr: 2.0000e-03 eta: 7:08:00 time: 0.8515 data_time: 0.0186 memory: 19726 grad_norm: 3.8998 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9080 loss: 0.9080 2022/08/09 08:02:13 - mmengine - INFO - Epoch(train) [35][160/1879] lr: 2.0000e-03 eta: 7:07:43 time: 0.8521 data_time: 0.0194 memory: 19726 grad_norm: 3.9585 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7744 loss: 0.7744 2022/08/09 08:02:30 - mmengine - INFO - Epoch(train) [35][180/1879] lr: 2.0000e-03 eta: 7:07:26 time: 0.8533 data_time: 0.0192 memory: 19726 grad_norm: 3.9579 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9070 loss: 0.9070 2022/08/09 08:02:47 - mmengine - INFO - Epoch(train) [35][200/1879] lr: 2.0000e-03 eta: 7:07:09 time: 0.8516 data_time: 0.0202 memory: 19726 grad_norm: 3.9933 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7815 loss: 0.7815 2022/08/09 08:03:04 - mmengine - INFO - Epoch(train) [35][220/1879] lr: 2.0000e-03 eta: 7:06:52 time: 0.8581 data_time: 0.0197 memory: 19726 grad_norm: 3.7839 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9234 loss: 0.9234 2022/08/09 08:03:21 - mmengine - INFO - Epoch(train) [35][240/1879] lr: 2.0000e-03 eta: 7:06:34 time: 0.8539 data_time: 0.0197 memory: 19726 grad_norm: 3.8812 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8785 loss: 0.8785 2022/08/09 08:03:38 - mmengine - INFO - Epoch(train) [35][260/1879] lr: 2.0000e-03 eta: 7:06:17 time: 0.8538 data_time: 0.0188 memory: 19726 grad_norm: 3.9539 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8521 loss: 0.8521 2022/08/09 08:03:55 - mmengine - INFO - Epoch(train) [35][280/1879] lr: 2.0000e-03 eta: 7:06:00 time: 0.8526 data_time: 0.0192 memory: 19726 grad_norm: 3.9759 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9309 loss: 0.9309 2022/08/09 08:04:12 - mmengine - INFO - Epoch(train) [35][300/1879] lr: 2.0000e-03 eta: 7:05:43 time: 0.8575 data_time: 0.0192 memory: 19726 grad_norm: 3.9546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7538 loss: 0.7538 2022/08/09 08:04:30 - mmengine - INFO - Epoch(train) [35][320/1879] lr: 2.0000e-03 eta: 7:05:26 time: 0.8548 data_time: 0.0193 memory: 19726 grad_norm: 3.9425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9719 loss: 0.9719 2022/08/09 08:04:47 - mmengine - INFO - Epoch(train) [35][340/1879] lr: 2.0000e-03 eta: 7:05:08 time: 0.8565 data_time: 0.0205 memory: 19726 grad_norm: 3.9340 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8572 loss: 0.8572 2022/08/09 08:05:04 - mmengine - INFO - Epoch(train) [35][360/1879] lr: 2.0000e-03 eta: 7:04:51 time: 0.8502 data_time: 0.0195 memory: 19726 grad_norm: 3.8767 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8081 loss: 0.8081 2022/08/09 08:05:21 - mmengine - INFO - Epoch(train) [35][380/1879] lr: 2.0000e-03 eta: 7:04:34 time: 0.8565 data_time: 0.0193 memory: 19726 grad_norm: 4.0513 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8569 loss: 0.8569 2022/08/09 08:05:38 - mmengine - INFO - Epoch(train) [35][400/1879] lr: 2.0000e-03 eta: 7:04:17 time: 0.8494 data_time: 0.0185 memory: 19726 grad_norm: 4.0165 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9579 loss: 0.9579 2022/08/09 08:05:55 - mmengine - INFO - Epoch(train) [35][420/1879] lr: 2.0000e-03 eta: 7:04:00 time: 0.8525 data_time: 0.0195 memory: 19726 grad_norm: 4.0433 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8761 loss: 0.8761 2022/08/09 08:06:12 - mmengine - INFO - Epoch(train) [35][440/1879] lr: 2.0000e-03 eta: 7:03:42 time: 0.8615 data_time: 0.0202 memory: 19726 grad_norm: 3.9873 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9358 loss: 0.9358 2022/08/09 08:06:29 - mmengine - INFO - Epoch(train) [35][460/1879] lr: 2.0000e-03 eta: 7:03:25 time: 0.8633 data_time: 0.0197 memory: 19726 grad_norm: 3.9086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7986 loss: 0.7986 2022/08/09 08:06:46 - mmengine - INFO - Epoch(train) [35][480/1879] lr: 2.0000e-03 eta: 7:03:08 time: 0.8508 data_time: 0.0195 memory: 19726 grad_norm: 3.9878 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8576 loss: 0.8576 2022/08/09 08:07:04 - mmengine - INFO - Epoch(train) [35][500/1879] lr: 2.0000e-03 eta: 7:02:51 time: 0.8587 data_time: 0.0190 memory: 19726 grad_norm: 4.0227 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8651 loss: 0.8651 2022/08/09 08:07:21 - mmengine - INFO - Epoch(train) [35][520/1879] lr: 2.0000e-03 eta: 7:02:34 time: 0.8534 data_time: 0.0210 memory: 19726 grad_norm: 3.9724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8605 loss: 0.8605 2022/08/09 08:07:38 - mmengine - INFO - Epoch(train) [35][540/1879] lr: 2.0000e-03 eta: 7:02:17 time: 0.8524 data_time: 0.0193 memory: 19726 grad_norm: 3.9098 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9139 loss: 0.9139 2022/08/09 08:07:55 - mmengine - INFO - Epoch(train) [35][560/1879] lr: 2.0000e-03 eta: 7:01:59 time: 0.8520 data_time: 0.0195 memory: 19726 grad_norm: 4.0372 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7996 loss: 0.7996 2022/08/09 08:08:12 - mmengine - INFO - Epoch(train) [35][580/1879] lr: 2.0000e-03 eta: 7:01:42 time: 0.8539 data_time: 0.0189 memory: 19726 grad_norm: 4.0073 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0025 loss: 1.0025 2022/08/09 08:08:29 - mmengine - INFO - Epoch(train) [35][600/1879] lr: 2.0000e-03 eta: 7:01:25 time: 0.8508 data_time: 0.0185 memory: 19726 grad_norm: 4.0391 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8476 loss: 0.8476 2022/08/09 08:08:46 - mmengine - INFO - Epoch(train) [35][620/1879] lr: 2.0000e-03 eta: 7:01:08 time: 0.8500 data_time: 0.0178 memory: 19726 grad_norm: 3.8513 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8093 loss: 0.8093 2022/08/09 08:09:03 - mmengine - INFO - Epoch(train) [35][640/1879] lr: 2.0000e-03 eta: 7:00:50 time: 0.8519 data_time: 0.0182 memory: 19726 grad_norm: 4.0602 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9984 loss: 0.9984 2022/08/09 08:09:20 - mmengine - INFO - Epoch(train) [35][660/1879] lr: 2.0000e-03 eta: 7:00:33 time: 0.8521 data_time: 0.0196 memory: 19726 grad_norm: 3.8980 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9381 loss: 0.9381 2022/08/09 08:09:37 - mmengine - INFO - Epoch(train) [35][680/1879] lr: 2.0000e-03 eta: 7:00:16 time: 0.8513 data_time: 0.0197 memory: 19726 grad_norm: 4.0014 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8805 loss: 0.8805 2022/08/09 08:09:54 - mmengine - INFO - Epoch(train) [35][700/1879] lr: 2.0000e-03 eta: 6:59:59 time: 0.8560 data_time: 0.0182 memory: 19726 grad_norm: 4.0176 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9073 loss: 0.9073 2022/08/09 08:10:11 - mmengine - INFO - Epoch(train) [35][720/1879] lr: 2.0000e-03 eta: 6:59:42 time: 0.8611 data_time: 0.0204 memory: 19726 grad_norm: 4.0377 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8785 loss: 0.8785 2022/08/09 08:10:28 - mmengine - INFO - Epoch(train) [35][740/1879] lr: 2.0000e-03 eta: 6:59:24 time: 0.8520 data_time: 0.0203 memory: 19726 grad_norm: 4.0296 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8795 loss: 0.8795 2022/08/09 08:10:45 - mmengine - INFO - Epoch(train) [35][760/1879] lr: 2.0000e-03 eta: 6:59:07 time: 0.8523 data_time: 0.0191 memory: 19726 grad_norm: 3.9661 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8822 loss: 0.8822 2022/08/09 08:11:03 - mmengine - INFO - Epoch(train) [35][780/1879] lr: 2.0000e-03 eta: 6:58:50 time: 0.8540 data_time: 0.0190 memory: 19726 grad_norm: 3.9850 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8772 loss: 0.8772 2022/08/09 08:11:20 - mmengine - INFO - Epoch(train) [35][800/1879] lr: 2.0000e-03 eta: 6:58:33 time: 0.8569 data_time: 0.0212 memory: 19726 grad_norm: 3.9415 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7913 loss: 0.7913 2022/08/09 08:11:37 - mmengine - INFO - Epoch(train) [35][820/1879] lr: 2.0000e-03 eta: 6:58:16 time: 0.8532 data_time: 0.0194 memory: 19726 grad_norm: 3.9781 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9194 loss: 0.9194 2022/08/09 08:11:54 - mmengine - INFO - Epoch(train) [35][840/1879] lr: 2.0000e-03 eta: 6:57:59 time: 0.8591 data_time: 0.0195 memory: 19726 grad_norm: 4.0926 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8762 loss: 0.8762 2022/08/09 08:12:11 - mmengine - INFO - Epoch(train) [35][860/1879] lr: 2.0000e-03 eta: 6:57:41 time: 0.8516 data_time: 0.0188 memory: 19726 grad_norm: 4.0606 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8453 loss: 0.8453 2022/08/09 08:12:28 - mmengine - INFO - Epoch(train) [35][880/1879] lr: 2.0000e-03 eta: 6:57:24 time: 0.8509 data_time: 0.0194 memory: 19726 grad_norm: 4.1412 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9470 loss: 0.9470 2022/08/09 08:12:45 - mmengine - INFO - Epoch(train) [35][900/1879] lr: 2.0000e-03 eta: 6:57:07 time: 0.8530 data_time: 0.0189 memory: 19726 grad_norm: 3.8365 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7139 loss: 0.7139 2022/08/09 08:13:02 - mmengine - INFO - Epoch(train) [35][920/1879] lr: 2.0000e-03 eta: 6:56:50 time: 0.8544 data_time: 0.0197 memory: 19726 grad_norm: 4.1615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/08/09 08:13:19 - mmengine - INFO - Epoch(train) [35][940/1879] lr: 2.0000e-03 eta: 6:56:32 time: 0.8514 data_time: 0.0193 memory: 19726 grad_norm: 4.0235 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9409 loss: 0.9409 2022/08/09 08:13:36 - mmengine - INFO - Epoch(train) [35][960/1879] lr: 2.0000e-03 eta: 6:56:15 time: 0.8496 data_time: 0.0190 memory: 19726 grad_norm: 4.0391 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8920 loss: 0.8920 2022/08/09 08:13:53 - mmengine - INFO - Epoch(train) [35][980/1879] lr: 2.0000e-03 eta: 6:55:58 time: 0.8547 data_time: 0.0195 memory: 19726 grad_norm: 4.0800 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8368 loss: 0.8368 2022/08/09 08:14:10 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 2.0000e-03 eta: 6:55:41 time: 0.8507 data_time: 0.0199 memory: 19726 grad_norm: 3.9669 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0090 loss: 1.0090 2022/08/09 08:14:27 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 2.0000e-03 eta: 6:55:24 time: 0.8543 data_time: 0.0197 memory: 19726 grad_norm: 3.9353 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9078 loss: 0.9078 2022/08/09 08:14:45 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 2.0000e-03 eta: 6:55:06 time: 0.8536 data_time: 0.0192 memory: 19726 grad_norm: 3.9907 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8865 loss: 0.8865 2022/08/09 08:15:02 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 2.0000e-03 eta: 6:54:49 time: 0.8520 data_time: 0.0197 memory: 19726 grad_norm: 3.8216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7957 loss: 0.7957 2022/08/09 08:15:19 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 2.0000e-03 eta: 6:54:32 time: 0.8609 data_time: 0.0236 memory: 19726 grad_norm: 4.0357 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0176 loss: 1.0176 2022/08/09 08:15:36 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 2.0000e-03 eta: 6:54:15 time: 0.8525 data_time: 0.0193 memory: 19726 grad_norm: 3.8060 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8015 loss: 0.8015 2022/08/09 08:15:48 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 08:15:53 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 2.0000e-03 eta: 6:53:58 time: 0.8534 data_time: 0.0203 memory: 19726 grad_norm: 4.0464 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9250 loss: 0.9250 2022/08/09 08:16:10 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 2.0000e-03 eta: 6:53:40 time: 0.8499 data_time: 0.0188 memory: 19726 grad_norm: 4.0261 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7832 loss: 0.7832 2022/08/09 08:16:27 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 2.0000e-03 eta: 6:53:23 time: 0.8537 data_time: 0.0196 memory: 19726 grad_norm: 4.0986 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8280 loss: 0.8280 2022/08/09 08:16:44 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 2.0000e-03 eta: 6:53:06 time: 0.8505 data_time: 0.0189 memory: 19726 grad_norm: 3.9155 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9382 loss: 0.9382 2022/08/09 08:17:01 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 2.0000e-03 eta: 6:52:49 time: 0.8532 data_time: 0.0195 memory: 19726 grad_norm: 4.1599 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0349 loss: 1.0349 2022/08/09 08:17:18 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 2.0000e-03 eta: 6:52:31 time: 0.8480 data_time: 0.0182 memory: 19726 grad_norm: 3.9257 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8599 loss: 0.8599 2022/08/09 08:17:35 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 2.0000e-03 eta: 6:52:14 time: 0.8512 data_time: 0.0199 memory: 19726 grad_norm: 4.1642 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8159 loss: 0.8159 2022/08/09 08:17:52 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 2.0000e-03 eta: 6:51:57 time: 0.8595 data_time: 0.0201 memory: 19726 grad_norm: 3.9933 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0024 loss: 1.0024 2022/08/09 08:18:10 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 2.0000e-03 eta: 6:51:40 time: 0.8590 data_time: 0.0192 memory: 19726 grad_norm: 4.0946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8367 loss: 0.8367 2022/08/09 08:18:27 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 2.0000e-03 eta: 6:51:23 time: 0.8524 data_time: 0.0201 memory: 19726 grad_norm: 3.9267 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9784 loss: 0.9784 2022/08/09 08:18:44 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 2.0000e-03 eta: 6:51:06 time: 0.8537 data_time: 0.0191 memory: 19726 grad_norm: 4.0038 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8307 loss: 0.8307 2022/08/09 08:19:01 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 2.0000e-03 eta: 6:50:48 time: 0.8527 data_time: 0.0193 memory: 19726 grad_norm: 3.9846 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9085 loss: 0.9085 2022/08/09 08:19:18 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 2.0000e-03 eta: 6:50:31 time: 0.8507 data_time: 0.0200 memory: 19726 grad_norm: 4.0041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7844 loss: 0.7844 2022/08/09 08:19:35 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 2.0000e-03 eta: 6:50:14 time: 0.8537 data_time: 0.0196 memory: 19726 grad_norm: 4.0135 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8429 loss: 0.8429 2022/08/09 08:19:52 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 2.0000e-03 eta: 6:49:57 time: 0.8512 data_time: 0.0195 memory: 19726 grad_norm: 4.2214 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8786 loss: 0.8786 2022/08/09 08:20:09 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 2.0000e-03 eta: 6:49:39 time: 0.8496 data_time: 0.0188 memory: 19726 grad_norm: 4.0548 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8818 loss: 0.8818 2022/08/09 08:20:26 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 2.0000e-03 eta: 6:49:22 time: 0.8698 data_time: 0.0368 memory: 19726 grad_norm: 3.9616 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7848 loss: 0.7848 2022/08/09 08:20:43 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 2.0000e-03 eta: 6:49:05 time: 0.8543 data_time: 0.0201 memory: 19726 grad_norm: 4.0706 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9039 loss: 0.9039 2022/08/09 08:21:00 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 2.0000e-03 eta: 6:48:48 time: 0.8533 data_time: 0.0199 memory: 19726 grad_norm: 4.1088 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0640 loss: 1.0640 2022/08/09 08:21:17 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 2.0000e-03 eta: 6:48:31 time: 0.8507 data_time: 0.0199 memory: 19726 grad_norm: 4.1081 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0158 loss: 1.0158 2022/08/09 08:21:34 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 2.0000e-03 eta: 6:48:13 time: 0.8491 data_time: 0.0191 memory: 19726 grad_norm: 4.1346 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8592 loss: 0.8592 2022/08/09 08:21:52 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 2.0000e-03 eta: 6:47:56 time: 0.8550 data_time: 0.0199 memory: 19726 grad_norm: 4.1134 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8231 loss: 0.8231 2022/08/09 08:22:09 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 2.0000e-03 eta: 6:47:39 time: 0.8507 data_time: 0.0182 memory: 19726 grad_norm: 3.8697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8185 loss: 0.8185 2022/08/09 08:22:26 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 2.0000e-03 eta: 6:47:22 time: 0.8562 data_time: 0.0191 memory: 19726 grad_norm: 4.0227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7957 loss: 0.7957 2022/08/09 08:22:43 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 2.0000e-03 eta: 6:47:05 time: 0.8510 data_time: 0.0199 memory: 19726 grad_norm: 3.9343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8490 loss: 0.8490 2022/08/09 08:23:00 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 2.0000e-03 eta: 6:46:47 time: 0.8488 data_time: 0.0187 memory: 19726 grad_norm: 3.9728 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9275 loss: 0.9275 2022/08/09 08:23:17 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 2.0000e-03 eta: 6:46:30 time: 0.8531 data_time: 0.0191 memory: 19726 grad_norm: 3.9929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8151 loss: 0.8151 2022/08/09 08:23:34 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 2.0000e-03 eta: 6:46:13 time: 0.8525 data_time: 0.0197 memory: 19726 grad_norm: 4.1238 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9992 loss: 0.9992 2022/08/09 08:23:51 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 2.0000e-03 eta: 6:45:56 time: 0.8597 data_time: 0.0198 memory: 19726 grad_norm: 4.0586 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8555 loss: 0.8555 2022/08/09 08:24:08 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 2.0000e-03 eta: 6:45:39 time: 0.8511 data_time: 0.0186 memory: 19726 grad_norm: 4.0806 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7509 loss: 0.7509 2022/08/09 08:24:25 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 2.0000e-03 eta: 6:45:21 time: 0.8540 data_time: 0.0196 memory: 19726 grad_norm: 4.1076 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9101 loss: 0.9101 2022/08/09 08:24:42 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 2.0000e-03 eta: 6:45:04 time: 0.8521 data_time: 0.0189 memory: 19726 grad_norm: 4.0403 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8845 loss: 0.8845 2022/08/09 08:24:59 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 2.0000e-03 eta: 6:44:47 time: 0.8559 data_time: 0.0196 memory: 19726 grad_norm: 4.0569 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8461 loss: 0.8461 2022/08/09 08:25:16 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 2.0000e-03 eta: 6:44:30 time: 0.8558 data_time: 0.0198 memory: 19726 grad_norm: 4.1776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8502 loss: 0.8502 2022/08/09 08:25:34 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 2.0000e-03 eta: 6:44:13 time: 0.8574 data_time: 0.0197 memory: 19726 grad_norm: 4.1438 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8626 loss: 0.8626 2022/08/09 08:25:51 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 2.0000e-03 eta: 6:43:55 time: 0.8483 data_time: 0.0187 memory: 19726 grad_norm: 4.0642 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8881 loss: 0.8881 2022/08/09 08:26:08 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 2.0000e-03 eta: 6:43:38 time: 0.8527 data_time: 0.0188 memory: 19726 grad_norm: 4.1182 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7196 loss: 0.7196 2022/08/09 08:26:25 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 2.0000e-03 eta: 6:43:21 time: 0.8539 data_time: 0.0193 memory: 19726 grad_norm: 4.0122 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9890 loss: 0.9890 2022/08/09 08:26:40 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 08:26:40 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 2.0000e-03 eta: 6:43:21 time: 0.8261 data_time: 0.0186 memory: 19726 grad_norm: 4.1235 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7956 loss: 0.7956 2022/08/09 08:26:55 - mmengine - INFO - Epoch(val) [35][20/155] eta: 0:01:35 time: 0.7108 data_time: 0.4698 memory: 2699 2022/08/09 08:27:04 - mmengine - INFO - Epoch(val) [35][40/155] eta: 0:00:51 time: 0.4486 data_time: 0.2088 memory: 2699 2022/08/09 08:27:16 - mmengine - INFO - Epoch(val) [35][60/155] eta: 0:00:57 time: 0.6035 data_time: 0.3643 memory: 2699 2022/08/09 08:27:26 - mmengine - INFO - Epoch(val) [35][80/155] eta: 0:00:37 time: 0.4939 data_time: 0.2551 memory: 2699 2022/08/09 08:27:38 - mmengine - INFO - Epoch(val) [35][100/155] eta: 0:00:34 time: 0.6205 data_time: 0.3759 memory: 2699 2022/08/09 08:27:48 - mmengine - INFO - Epoch(val) [35][120/155] eta: 0:00:17 time: 0.5021 data_time: 0.2638 memory: 2699 2022/08/09 08:28:02 - mmengine - INFO - Epoch(val) [35][140/155] eta: 0:00:10 time: 0.6728 data_time: 0.4344 memory: 2699 2022/08/09 08:28:09 - mmengine - INFO - Epoch(val) [35][155/155] acc/top1: 0.7166 acc/top5: 0.9047 acc/mean1: 0.7165 2022/08/09 08:28:32 - mmengine - INFO - Epoch(train) [36][20/1879] lr: 2.0000e-03 eta: 6:42:43 time: 1.1043 data_time: 0.2357 memory: 19726 grad_norm: 3.9881 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9132 loss: 0.9132 2022/08/09 08:28:49 - mmengine - INFO - Epoch(train) [36][40/1879] lr: 2.0000e-03 eta: 6:42:25 time: 0.8473 data_time: 0.0214 memory: 19726 grad_norm: 3.9362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8108 loss: 0.8108 2022/08/09 08:29:06 - mmengine - INFO - Epoch(train) [36][60/1879] lr: 2.0000e-03 eta: 6:42:08 time: 0.8561 data_time: 0.0195 memory: 19726 grad_norm: 3.9765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7327 loss: 0.7327 2022/08/09 08:29:23 - mmengine - INFO - Epoch(train) [36][80/1879] lr: 2.0000e-03 eta: 6:41:51 time: 0.8490 data_time: 0.0190 memory: 19726 grad_norm: 3.9823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7672 loss: 0.7672 2022/08/09 08:29:40 - mmengine - INFO - Epoch(train) [36][100/1879] lr: 2.0000e-03 eta: 6:41:34 time: 0.8503 data_time: 0.0184 memory: 19726 grad_norm: 4.0377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9343 loss: 0.9343 2022/08/09 08:29:57 - mmengine - INFO - Epoch(train) [36][120/1879] lr: 2.0000e-03 eta: 6:41:17 time: 0.8527 data_time: 0.0198 memory: 19726 grad_norm: 3.8921 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7412 loss: 0.7412 2022/08/09 08:30:14 - mmengine - INFO - Epoch(train) [36][140/1879] lr: 2.0000e-03 eta: 6:41:00 time: 0.8818 data_time: 0.0401 memory: 19726 grad_norm: 3.9289 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8277 loss: 0.8277 2022/08/09 08:30:31 - mmengine - INFO - Epoch(train) [36][160/1879] lr: 2.0000e-03 eta: 6:40:42 time: 0.8539 data_time: 0.0192 memory: 19726 grad_norm: 4.0338 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9544 loss: 0.9544 2022/08/09 08:30:48 - mmengine - INFO - Epoch(train) [36][180/1879] lr: 2.0000e-03 eta: 6:40:25 time: 0.8508 data_time: 0.0184 memory: 19726 grad_norm: 3.9803 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0556 loss: 1.0556 2022/08/09 08:31:06 - mmengine - INFO - Epoch(train) [36][200/1879] lr: 2.0000e-03 eta: 6:40:08 time: 0.8520 data_time: 0.0195 memory: 19726 grad_norm: 4.0839 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8236 loss: 0.8236 2022/08/09 08:31:23 - mmengine - INFO - Epoch(train) [36][220/1879] lr: 2.0000e-03 eta: 6:39:51 time: 0.8535 data_time: 0.0195 memory: 19726 grad_norm: 3.9522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8380 loss: 0.8380 2022/08/09 08:31:35 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 08:31:40 - mmengine - INFO - Epoch(train) [36][240/1879] lr: 2.0000e-03 eta: 6:39:34 time: 0.8512 data_time: 0.0191 memory: 19726 grad_norm: 3.9502 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8272 loss: 0.8272 2022/08/09 08:31:57 - mmengine - INFO - Epoch(train) [36][260/1879] lr: 2.0000e-03 eta: 6:39:16 time: 0.8555 data_time: 0.0187 memory: 19726 grad_norm: 3.9216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7976 loss: 0.7976 2022/08/09 08:32:14 - mmengine - INFO - Epoch(train) [36][280/1879] lr: 2.0000e-03 eta: 6:38:59 time: 0.8523 data_time: 0.0196 memory: 19726 grad_norm: 3.9825 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8179 loss: 0.8179 2022/08/09 08:32:31 - mmengine - INFO - Epoch(train) [36][300/1879] lr: 2.0000e-03 eta: 6:38:42 time: 0.8555 data_time: 0.0193 memory: 19726 grad_norm: 4.0027 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7835 loss: 0.7835 2022/08/09 08:32:48 - mmengine - INFO - Epoch(train) [36][320/1879] lr: 2.0000e-03 eta: 6:38:25 time: 0.8499 data_time: 0.0194 memory: 19726 grad_norm: 4.0323 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8365 loss: 0.8365 2022/08/09 08:33:05 - mmengine - INFO - Epoch(train) [36][340/1879] lr: 2.0000e-03 eta: 6:38:08 time: 0.8508 data_time: 0.0196 memory: 19726 grad_norm: 4.0676 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9826 loss: 0.9826 2022/08/09 08:33:22 - mmengine - INFO - Epoch(train) [36][360/1879] lr: 2.0000e-03 eta: 6:37:50 time: 0.8530 data_time: 0.0199 memory: 19726 grad_norm: 3.9626 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9380 loss: 0.9380 2022/08/09 08:33:39 - mmengine - INFO - Epoch(train) [36][380/1879] lr: 2.0000e-03 eta: 6:37:33 time: 0.8483 data_time: 0.0193 memory: 19726 grad_norm: 4.0120 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9092 loss: 0.9092 2022/08/09 08:33:56 - mmengine - INFO - Epoch(train) [36][400/1879] lr: 2.0000e-03 eta: 6:37:16 time: 0.8614 data_time: 0.0245 memory: 19726 grad_norm: 3.9745 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7016 loss: 0.7016 2022/08/09 08:34:13 - mmengine - INFO - Epoch(train) [36][420/1879] lr: 2.0000e-03 eta: 6:36:59 time: 0.8501 data_time: 0.0220 memory: 19726 grad_norm: 3.9276 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0284 loss: 1.0284 2022/08/09 08:34:30 - mmengine - INFO - Epoch(train) [36][440/1879] lr: 2.0000e-03 eta: 6:36:42 time: 0.8531 data_time: 0.0192 memory: 19726 grad_norm: 4.1737 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0385 loss: 1.0385 2022/08/09 08:34:47 - mmengine - INFO - Epoch(train) [36][460/1879] lr: 2.0000e-03 eta: 6:36:24 time: 0.8488 data_time: 0.0198 memory: 19726 grad_norm: 4.0625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8474 loss: 0.8474 2022/08/09 08:35:04 - mmengine - INFO - Epoch(train) [36][480/1879] lr: 2.0000e-03 eta: 6:36:07 time: 0.8577 data_time: 0.0203 memory: 19726 grad_norm: 4.0237 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8068 loss: 0.8068 2022/08/09 08:35:22 - mmengine - INFO - Epoch(train) [36][500/1879] lr: 2.0000e-03 eta: 6:35:50 time: 0.8716 data_time: 0.0234 memory: 19726 grad_norm: 4.1548 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0917 loss: 1.0917 2022/08/09 08:35:39 - mmengine - INFO - Epoch(train) [36][520/1879] lr: 2.0000e-03 eta: 6:35:33 time: 0.8511 data_time: 0.0194 memory: 19726 grad_norm: 3.9324 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7352 loss: 0.7352 2022/08/09 08:35:56 - mmengine - INFO - Epoch(train) [36][540/1879] lr: 2.0000e-03 eta: 6:35:16 time: 0.8475 data_time: 0.0189 memory: 19726 grad_norm: 4.1074 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9095 loss: 0.9095 2022/08/09 08:36:13 - mmengine - INFO - Epoch(train) [36][560/1879] lr: 2.0000e-03 eta: 6:34:59 time: 0.8529 data_time: 0.0193 memory: 19726 grad_norm: 3.9855 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9183 loss: 0.9183 2022/08/09 08:36:30 - mmengine - INFO - Epoch(train) [36][580/1879] lr: 2.0000e-03 eta: 6:34:41 time: 0.8501 data_time: 0.0190 memory: 19726 grad_norm: 3.8954 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6963 loss: 0.6963 2022/08/09 08:36:47 - mmengine - INFO - Epoch(train) [36][600/1879] lr: 2.0000e-03 eta: 6:34:24 time: 0.8525 data_time: 0.0189 memory: 19726 grad_norm: 4.0526 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7730 loss: 0.7730 2022/08/09 08:37:04 - mmengine - INFO - Epoch(train) [36][620/1879] lr: 2.0000e-03 eta: 6:34:07 time: 0.8519 data_time: 0.0198 memory: 19726 grad_norm: 4.0113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9025 loss: 0.9025 2022/08/09 08:37:21 - mmengine - INFO - Epoch(train) [36][640/1879] lr: 2.0000e-03 eta: 6:33:50 time: 0.8499 data_time: 0.0196 memory: 19726 grad_norm: 4.0263 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8703 loss: 0.8703 2022/08/09 08:37:38 - mmengine - INFO - Epoch(train) [36][660/1879] lr: 2.0000e-03 eta: 6:33:33 time: 0.8587 data_time: 0.0189 memory: 19726 grad_norm: 4.1548 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9523 loss: 0.9523 2022/08/09 08:37:56 - mmengine - INFO - Epoch(train) [36][680/1879] lr: 2.0000e-03 eta: 6:33:15 time: 0.8637 data_time: 0.0193 memory: 19726 grad_norm: 3.9853 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8550 loss: 0.8550 2022/08/09 08:38:13 - mmengine - INFO - Epoch(train) [36][700/1879] lr: 2.0000e-03 eta: 6:32:58 time: 0.8539 data_time: 0.0195 memory: 19726 grad_norm: 3.9815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7537 loss: 0.7537 2022/08/09 08:38:30 - mmengine - INFO - Epoch(train) [36][720/1879] lr: 2.0000e-03 eta: 6:32:41 time: 0.8541 data_time: 0.0192 memory: 19726 grad_norm: 4.1277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/08/09 08:38:47 - mmengine - INFO - Epoch(train) [36][740/1879] lr: 2.0000e-03 eta: 6:32:24 time: 0.8579 data_time: 0.0192 memory: 19726 grad_norm: 4.0574 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9161 loss: 0.9161 2022/08/09 08:39:04 - mmengine - INFO - Epoch(train) [36][760/1879] lr: 2.0000e-03 eta: 6:32:07 time: 0.8581 data_time: 0.0222 memory: 19726 grad_norm: 4.0382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/09 08:39:21 - mmengine - INFO - Epoch(train) [36][780/1879] lr: 2.0000e-03 eta: 6:31:50 time: 0.8566 data_time: 0.0252 memory: 19726 grad_norm: 4.1111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8957 loss: 0.8957 2022/08/09 08:39:38 - mmengine - INFO - Epoch(train) [36][800/1879] lr: 2.0000e-03 eta: 6:31:32 time: 0.8569 data_time: 0.0190 memory: 19726 grad_norm: 3.9534 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8079 loss: 0.8079 2022/08/09 08:39:55 - mmengine - INFO - Epoch(train) [36][820/1879] lr: 2.0000e-03 eta: 6:31:15 time: 0.8529 data_time: 0.0206 memory: 19726 grad_norm: 4.0425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8311 loss: 0.8311 2022/08/09 08:40:13 - mmengine - INFO - Epoch(train) [36][840/1879] lr: 2.0000e-03 eta: 6:30:58 time: 0.8599 data_time: 0.0200 memory: 19726 grad_norm: 4.0714 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8404 loss: 0.8404 2022/08/09 08:40:30 - mmengine - INFO - Epoch(train) [36][860/1879] lr: 2.0000e-03 eta: 6:30:41 time: 0.8539 data_time: 0.0186 memory: 19726 grad_norm: 3.9417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8750 loss: 0.8750 2022/08/09 08:40:47 - mmengine - INFO - Epoch(train) [36][880/1879] lr: 2.0000e-03 eta: 6:30:24 time: 0.8562 data_time: 0.0189 memory: 19726 grad_norm: 4.0409 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7765 loss: 0.7765 2022/08/09 08:41:04 - mmengine - INFO - Epoch(train) [36][900/1879] lr: 2.0000e-03 eta: 6:30:07 time: 0.8541 data_time: 0.0197 memory: 19726 grad_norm: 3.9996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7912 loss: 0.7912 2022/08/09 08:41:21 - mmengine - INFO - Epoch(train) [36][920/1879] lr: 2.0000e-03 eta: 6:29:49 time: 0.8512 data_time: 0.0199 memory: 19726 grad_norm: 4.1018 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9293 loss: 0.9293 2022/08/09 08:41:38 - mmengine - INFO - Epoch(train) [36][940/1879] lr: 2.0000e-03 eta: 6:29:32 time: 0.8535 data_time: 0.0192 memory: 19726 grad_norm: 3.9352 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/08/09 08:41:55 - mmengine - INFO - Epoch(train) [36][960/1879] lr: 2.0000e-03 eta: 6:29:15 time: 0.8645 data_time: 0.0195 memory: 19726 grad_norm: 3.9763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8251 loss: 0.8251 2022/08/09 08:42:12 - mmengine - INFO - Epoch(train) [36][980/1879] lr: 2.0000e-03 eta: 6:28:58 time: 0.8532 data_time: 0.0184 memory: 19726 grad_norm: 4.0646 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0176 loss: 1.0176 2022/08/09 08:42:29 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 2.0000e-03 eta: 6:28:41 time: 0.8506 data_time: 0.0190 memory: 19726 grad_norm: 4.0159 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7898 loss: 0.7898 2022/08/09 08:42:46 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 2.0000e-03 eta: 6:28:23 time: 0.8550 data_time: 0.0193 memory: 19726 grad_norm: 3.9660 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/08/09 08:43:04 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 2.0000e-03 eta: 6:28:06 time: 0.8592 data_time: 0.0205 memory: 19726 grad_norm: 4.0269 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8849 loss: 0.8849 2022/08/09 08:43:21 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 2.0000e-03 eta: 6:27:49 time: 0.8523 data_time: 0.0201 memory: 19726 grad_norm: 3.9915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7588 loss: 0.7588 2022/08/09 08:43:38 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 2.0000e-03 eta: 6:27:32 time: 0.8507 data_time: 0.0196 memory: 19726 grad_norm: 3.9862 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9959 loss: 0.9959 2022/08/09 08:43:55 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 2.0000e-03 eta: 6:27:15 time: 0.8519 data_time: 0.0183 memory: 19726 grad_norm: 3.9766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6936 loss: 0.6936 2022/08/09 08:44:12 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 2.0000e-03 eta: 6:26:57 time: 0.8479 data_time: 0.0184 memory: 19726 grad_norm: 4.0288 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8618 loss: 0.8618 2022/08/09 08:44:29 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 2.0000e-03 eta: 6:26:40 time: 0.8541 data_time: 0.0196 memory: 19726 grad_norm: 4.0857 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8616 loss: 0.8616 2022/08/09 08:44:46 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 2.0000e-03 eta: 6:26:23 time: 0.8523 data_time: 0.0210 memory: 19726 grad_norm: 4.0229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8681 loss: 0.8681 2022/08/09 08:45:03 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 2.0000e-03 eta: 6:26:06 time: 0.8565 data_time: 0.0192 memory: 19726 grad_norm: 4.1488 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9236 loss: 0.9236 2022/08/09 08:45:20 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 2.0000e-03 eta: 6:25:49 time: 0.8547 data_time: 0.0216 memory: 19726 grad_norm: 4.0635 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7856 loss: 0.7856 2022/08/09 08:45:37 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 2.0000e-03 eta: 6:25:31 time: 0.8538 data_time: 0.0197 memory: 19726 grad_norm: 4.0215 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8848 loss: 0.8848 2022/08/09 08:45:50 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 08:45:54 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 2.0000e-03 eta: 6:25:14 time: 0.8507 data_time: 0.0193 memory: 19726 grad_norm: 3.9970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8743 loss: 0.8743 2022/08/09 08:46:11 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 2.0000e-03 eta: 6:24:57 time: 0.8492 data_time: 0.0187 memory: 19726 grad_norm: 4.1318 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9104 loss: 0.9104 2022/08/09 08:46:28 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 2.0000e-03 eta: 6:24:40 time: 0.8568 data_time: 0.0193 memory: 19726 grad_norm: 4.0736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9532 loss: 0.9532 2022/08/09 08:46:45 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 2.0000e-03 eta: 6:24:23 time: 0.8528 data_time: 0.0203 memory: 19726 grad_norm: 4.1125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9379 loss: 0.9379 2022/08/09 08:47:02 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 2.0000e-03 eta: 6:24:05 time: 0.8517 data_time: 0.0196 memory: 19726 grad_norm: 3.9743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/08/09 08:47:19 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 2.0000e-03 eta: 6:23:48 time: 0.8490 data_time: 0.0196 memory: 19726 grad_norm: 4.1418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8207 loss: 0.8207 2022/08/09 08:47:37 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 2.0000e-03 eta: 6:23:31 time: 0.8552 data_time: 0.0187 memory: 19726 grad_norm: 4.1254 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7882 loss: 0.7882 2022/08/09 08:47:54 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 2.0000e-03 eta: 6:23:14 time: 0.8582 data_time: 0.0194 memory: 19726 grad_norm: 4.1339 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9485 loss: 0.9485 2022/08/09 08:48:11 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 2.0000e-03 eta: 6:22:57 time: 0.8513 data_time: 0.0192 memory: 19726 grad_norm: 4.0765 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8697 loss: 0.8697 2022/08/09 08:48:28 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 2.0000e-03 eta: 6:22:39 time: 0.8510 data_time: 0.0182 memory: 19726 grad_norm: 4.1706 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9552 loss: 0.9552 2022/08/09 08:48:45 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 2.0000e-03 eta: 6:22:22 time: 0.8610 data_time: 0.0206 memory: 19726 grad_norm: 4.1904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9130 loss: 0.9130 2022/08/09 08:49:02 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 2.0000e-03 eta: 6:22:05 time: 0.8535 data_time: 0.0226 memory: 19726 grad_norm: 4.0378 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9148 loss: 0.9148 2022/08/09 08:49:19 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 2.0000e-03 eta: 6:21:48 time: 0.8561 data_time: 0.0187 memory: 19726 grad_norm: 4.0270 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8544 loss: 0.8544 2022/08/09 08:49:36 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 2.0000e-03 eta: 6:21:31 time: 0.8498 data_time: 0.0193 memory: 19726 grad_norm: 4.1801 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9603 loss: 0.9603 2022/08/09 08:49:53 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 2.0000e-03 eta: 6:21:14 time: 0.8519 data_time: 0.0186 memory: 19726 grad_norm: 4.1021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9280 loss: 0.9280 2022/08/09 08:50:10 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 2.0000e-03 eta: 6:20:56 time: 0.8565 data_time: 0.0188 memory: 19726 grad_norm: 4.1641 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8706 loss: 0.8706 2022/08/09 08:50:28 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 2.0000e-03 eta: 6:20:39 time: 0.8547 data_time: 0.0191 memory: 19726 grad_norm: 4.0141 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8899 loss: 0.8899 2022/08/09 08:50:45 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 2.0000e-03 eta: 6:20:22 time: 0.8559 data_time: 0.0205 memory: 19726 grad_norm: 4.0979 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7994 loss: 0.7994 2022/08/09 08:51:02 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 2.0000e-03 eta: 6:20:05 time: 0.8500 data_time: 0.0184 memory: 19726 grad_norm: 4.0883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8533 loss: 0.8533 2022/08/09 08:51:19 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 2.0000e-03 eta: 6:19:48 time: 0.8554 data_time: 0.0193 memory: 19726 grad_norm: 4.0444 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8728 loss: 0.8728 2022/08/09 08:51:36 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 2.0000e-03 eta: 6:19:30 time: 0.8554 data_time: 0.0209 memory: 19726 grad_norm: 4.1686 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9487 loss: 0.9487 2022/08/09 08:51:53 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 2.0000e-03 eta: 6:19:13 time: 0.8542 data_time: 0.0196 memory: 19726 grad_norm: 4.1544 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7996 loss: 0.7996 2022/08/09 08:52:10 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 2.0000e-03 eta: 6:18:56 time: 0.8600 data_time: 0.0255 memory: 19726 grad_norm: 4.1327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8287 loss: 0.8287 2022/08/09 08:52:27 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 2.0000e-03 eta: 6:18:39 time: 0.8544 data_time: 0.0198 memory: 19726 grad_norm: 4.0099 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7499 loss: 0.7499 2022/08/09 08:52:44 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 2.0000e-03 eta: 6:18:22 time: 0.8574 data_time: 0.0195 memory: 19726 grad_norm: 4.0506 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8182 loss: 0.8182 2022/08/09 08:53:01 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 2.0000e-03 eta: 6:18:05 time: 0.8482 data_time: 0.0191 memory: 19726 grad_norm: 4.0550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7733 loss: 0.7733 2022/08/09 08:53:18 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 2.0000e-03 eta: 6:17:47 time: 0.8497 data_time: 0.0195 memory: 19726 grad_norm: 3.9916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7351 loss: 0.7351 2022/08/09 08:53:35 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 2.0000e-03 eta: 6:17:30 time: 0.8502 data_time: 0.0196 memory: 19726 grad_norm: 4.1674 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8786 loss: 0.8786 2022/08/09 08:53:53 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 2.0000e-03 eta: 6:17:13 time: 0.8624 data_time: 0.0317 memory: 19726 grad_norm: 4.0561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9579 loss: 0.9579 2022/08/09 08:54:10 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 2.0000e-03 eta: 6:16:56 time: 0.8512 data_time: 0.0192 memory: 19726 grad_norm: 4.0224 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7447 loss: 0.7447 2022/08/09 08:54:27 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 2.0000e-03 eta: 6:16:39 time: 0.8591 data_time: 0.0272 memory: 19726 grad_norm: 4.0332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7646 loss: 0.7646 2022/08/09 08:54:44 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 2.0000e-03 eta: 6:16:21 time: 0.8554 data_time: 0.0194 memory: 19726 grad_norm: 4.1997 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8748 loss: 0.8748 2022/08/09 08:55:00 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 08:55:00 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 2.0000e-03 eta: 6:16:21 time: 0.8279 data_time: 0.0191 memory: 19726 grad_norm: 4.1466 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9290 loss: 0.9290 2022/08/09 08:55:00 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/09 08:55:21 - mmengine - INFO - Epoch(val) [36][20/155] eta: 0:02:06 time: 0.9358 data_time: 0.6965 memory: 2699 2022/08/09 08:55:31 - mmengine - INFO - Epoch(val) [36][40/155] eta: 0:00:56 time: 0.4872 data_time: 0.2478 memory: 2699 2022/08/09 08:55:43 - mmengine - INFO - Epoch(val) [36][60/155] eta: 0:00:57 time: 0.6080 data_time: 0.3692 memory: 2699 2022/08/09 08:55:52 - mmengine - INFO - Epoch(val) [36][80/155] eta: 0:00:35 time: 0.4704 data_time: 0.2309 memory: 2699 2022/08/09 08:56:05 - mmengine - INFO - Epoch(val) [36][100/155] eta: 0:00:34 time: 0.6349 data_time: 0.3966 memory: 2699 2022/08/09 08:56:15 - mmengine - INFO - Epoch(val) [36][120/155] eta: 0:00:17 time: 0.4998 data_time: 0.2612 memory: 2699 2022/08/09 08:56:28 - mmengine - INFO - Epoch(val) [36][140/155] eta: 0:00:09 time: 0.6382 data_time: 0.3994 memory: 2699 2022/08/09 08:56:35 - mmengine - INFO - Epoch(val) [36][155/155] acc/top1: 0.7206 acc/top5: 0.9038 acc/mean1: 0.7205 2022/08/09 08:56:57 - mmengine - INFO - Epoch(train) [37][20/1879] lr: 2.0000e-03 eta: 6:15:44 time: 1.0968 data_time: 0.2196 memory: 19726 grad_norm: 3.9236 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7932 loss: 0.7932 2022/08/09 08:57:14 - mmengine - INFO - Epoch(train) [37][40/1879] lr: 2.0000e-03 eta: 6:15:26 time: 0.8521 data_time: 0.0170 memory: 19726 grad_norm: 4.0620 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0032 loss: 1.0032 2022/08/09 08:57:31 - mmengine - INFO - Epoch(train) [37][60/1879] lr: 2.0000e-03 eta: 6:15:09 time: 0.8464 data_time: 0.0188 memory: 19726 grad_norm: 4.0399 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8890 loss: 0.8890 2022/08/09 08:57:48 - mmengine - INFO - Epoch(train) [37][80/1879] lr: 2.0000e-03 eta: 6:14:52 time: 0.8482 data_time: 0.0196 memory: 19726 grad_norm: 3.9436 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8775 loss: 0.8775 2022/08/09 08:58:05 - mmengine - INFO - Epoch(train) [37][100/1879] lr: 2.0000e-03 eta: 6:14:35 time: 0.8619 data_time: 0.0196 memory: 19726 grad_norm: 3.9682 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8480 loss: 0.8480 2022/08/09 08:58:22 - mmengine - INFO - Epoch(train) [37][120/1879] lr: 2.0000e-03 eta: 6:14:18 time: 0.8511 data_time: 0.0203 memory: 19726 grad_norm: 3.9883 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8385 loss: 0.8385 2022/08/09 08:58:39 - mmengine - INFO - Epoch(train) [37][140/1879] lr: 2.0000e-03 eta: 6:14:00 time: 0.8540 data_time: 0.0187 memory: 19726 grad_norm: 3.9718 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8611 loss: 0.8611 2022/08/09 08:58:56 - mmengine - INFO - Epoch(train) [37][160/1879] lr: 2.0000e-03 eta: 6:13:43 time: 0.8513 data_time: 0.0195 memory: 19726 grad_norm: 4.0675 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0027 loss: 1.0027 2022/08/09 08:59:13 - mmengine - INFO - Epoch(train) [37][180/1879] lr: 2.0000e-03 eta: 6:13:26 time: 0.8521 data_time: 0.0183 memory: 19726 grad_norm: 4.0051 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8091 loss: 0.8091 2022/08/09 08:59:30 - mmengine - INFO - Epoch(train) [37][200/1879] lr: 2.0000e-03 eta: 6:13:09 time: 0.8495 data_time: 0.0190 memory: 19726 grad_norm: 4.0677 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8572 loss: 0.8572 2022/08/09 08:59:47 - mmengine - INFO - Epoch(train) [37][220/1879] lr: 2.0000e-03 eta: 6:12:52 time: 0.8519 data_time: 0.0192 memory: 19726 grad_norm: 4.0571 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7941 loss: 0.7941 2022/08/09 09:00:05 - mmengine - INFO - Epoch(train) [37][240/1879] lr: 2.0000e-03 eta: 6:12:34 time: 0.8622 data_time: 0.0216 memory: 19726 grad_norm: 3.9904 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8953 loss: 0.8953 2022/08/09 09:00:23 - mmengine - INFO - Epoch(train) [37][260/1879] lr: 2.0000e-03 eta: 6:12:18 time: 0.8912 data_time: 0.0424 memory: 19726 grad_norm: 3.9721 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8153 loss: 0.8153 2022/08/09 09:00:40 - mmengine - INFO - Epoch(train) [37][280/1879] lr: 2.0000e-03 eta: 6:12:00 time: 0.8567 data_time: 0.0199 memory: 19726 grad_norm: 4.0630 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7352 loss: 0.7352 2022/08/09 09:00:57 - mmengine - INFO - Epoch(train) [37][300/1879] lr: 2.0000e-03 eta: 6:11:43 time: 0.8560 data_time: 0.0204 memory: 19726 grad_norm: 4.0213 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7772 loss: 0.7772 2022/08/09 09:01:14 - mmengine - INFO - Epoch(train) [37][320/1879] lr: 2.0000e-03 eta: 6:11:26 time: 0.8538 data_time: 0.0186 memory: 19726 grad_norm: 4.0998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/08/09 09:01:31 - mmengine - INFO - Epoch(train) [37][340/1879] lr: 2.0000e-03 eta: 6:11:09 time: 0.8497 data_time: 0.0186 memory: 19726 grad_norm: 4.1218 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7576 loss: 0.7576 2022/08/09 09:01:45 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 09:01:48 - mmengine - INFO - Epoch(train) [37][360/1879] lr: 2.0000e-03 eta: 6:10:52 time: 0.8529 data_time: 0.0189 memory: 19726 grad_norm: 4.1859 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6836 loss: 0.6836 2022/08/09 09:02:05 - mmengine - INFO - Epoch(train) [37][380/1879] lr: 2.0000e-03 eta: 6:10:35 time: 0.8556 data_time: 0.0241 memory: 19726 grad_norm: 4.0158 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7934 loss: 0.7934 2022/08/09 09:02:22 - mmengine - INFO - Epoch(train) [37][400/1879] lr: 2.0000e-03 eta: 6:10:17 time: 0.8589 data_time: 0.0195 memory: 19726 grad_norm: 3.9664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8331 loss: 0.8331 2022/08/09 09:02:39 - mmengine - INFO - Epoch(train) [37][420/1879] lr: 2.0000e-03 eta: 6:10:00 time: 0.8507 data_time: 0.0194 memory: 19726 grad_norm: 4.1102 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7010 loss: 0.7010 2022/08/09 09:02:56 - mmengine - INFO - Epoch(train) [37][440/1879] lr: 2.0000e-03 eta: 6:09:43 time: 0.8574 data_time: 0.0194 memory: 19726 grad_norm: 4.1375 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7567 loss: 0.7567 2022/08/09 09:03:13 - mmengine - INFO - Epoch(train) [37][460/1879] lr: 2.0000e-03 eta: 6:09:26 time: 0.8491 data_time: 0.0186 memory: 19726 grad_norm: 4.1262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7995 loss: 0.7995 2022/08/09 09:03:30 - mmengine - INFO - Epoch(train) [37][480/1879] lr: 2.0000e-03 eta: 6:09:09 time: 0.8517 data_time: 0.0190 memory: 19726 grad_norm: 4.1260 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8193 loss: 0.8193 2022/08/09 09:03:48 - mmengine - INFO - Epoch(train) [37][500/1879] lr: 2.0000e-03 eta: 6:08:51 time: 0.8532 data_time: 0.0197 memory: 19726 grad_norm: 4.0893 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9380 loss: 0.9380 2022/08/09 09:04:05 - mmengine - INFO - Epoch(train) [37][520/1879] lr: 2.0000e-03 eta: 6:08:34 time: 0.8521 data_time: 0.0191 memory: 19726 grad_norm: 4.1231 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7933 loss: 0.7933 2022/08/09 09:04:22 - mmengine - INFO - Epoch(train) [37][540/1879] lr: 2.0000e-03 eta: 6:08:17 time: 0.8544 data_time: 0.0197 memory: 19726 grad_norm: 4.1778 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8317 loss: 0.8317 2022/08/09 09:04:39 - mmengine - INFO - Epoch(train) [37][560/1879] lr: 2.0000e-03 eta: 6:08:00 time: 0.8541 data_time: 0.0193 memory: 19726 grad_norm: 4.0822 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8074 loss: 0.8074 2022/08/09 09:04:56 - mmengine - INFO - Epoch(train) [37][580/1879] lr: 2.0000e-03 eta: 6:07:43 time: 0.8534 data_time: 0.0189 memory: 19726 grad_norm: 3.9688 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7118 loss: 0.7118 2022/08/09 09:05:13 - mmengine - INFO - Epoch(train) [37][600/1879] lr: 2.0000e-03 eta: 6:07:26 time: 0.8585 data_time: 0.0216 memory: 19726 grad_norm: 4.1811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9648 loss: 0.9648 2022/08/09 09:05:30 - mmengine - INFO - Epoch(train) [37][620/1879] lr: 2.0000e-03 eta: 6:07:08 time: 0.8572 data_time: 0.0205 memory: 19726 grad_norm: 4.0554 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9336 loss: 0.9336 2022/08/09 09:05:47 - mmengine - INFO - Epoch(train) [37][640/1879] lr: 2.0000e-03 eta: 6:06:51 time: 0.8551 data_time: 0.0193 memory: 19726 grad_norm: 4.1012 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8823 loss: 0.8823 2022/08/09 09:06:04 - mmengine - INFO - Epoch(train) [37][660/1879] lr: 2.0000e-03 eta: 6:06:34 time: 0.8512 data_time: 0.0183 memory: 19726 grad_norm: 4.0235 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8310 loss: 0.8310 2022/08/09 09:06:21 - mmengine - INFO - Epoch(train) [37][680/1879] lr: 2.0000e-03 eta: 6:06:17 time: 0.8498 data_time: 0.0186 memory: 19726 grad_norm: 4.0165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9352 loss: 0.9352 2022/08/09 09:06:39 - mmengine - INFO - Epoch(train) [37][700/1879] lr: 2.0000e-03 eta: 6:06:00 time: 0.8533 data_time: 0.0188 memory: 19726 grad_norm: 4.1003 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9205 loss: 0.9205 2022/08/09 09:06:56 - mmengine - INFO - Epoch(train) [37][720/1879] lr: 2.0000e-03 eta: 6:05:42 time: 0.8599 data_time: 0.0258 memory: 19726 grad_norm: 4.1071 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8900 loss: 0.8900 2022/08/09 09:07:13 - mmengine - INFO - Epoch(train) [37][740/1879] lr: 2.0000e-03 eta: 6:05:25 time: 0.8554 data_time: 0.0229 memory: 19726 grad_norm: 4.0585 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8309 loss: 0.8309 2022/08/09 09:07:30 - mmengine - INFO - Epoch(train) [37][760/1879] lr: 2.0000e-03 eta: 6:05:08 time: 0.8533 data_time: 0.0193 memory: 19726 grad_norm: 4.1509 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8443 loss: 0.8443 2022/08/09 09:07:47 - mmengine - INFO - Epoch(train) [37][780/1879] lr: 2.0000e-03 eta: 6:04:51 time: 0.8510 data_time: 0.0189 memory: 19726 grad_norm: 4.2131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8497 loss: 0.8497 2022/08/09 09:08:04 - mmengine - INFO - Epoch(train) [37][800/1879] lr: 2.0000e-03 eta: 6:04:34 time: 0.8620 data_time: 0.0304 memory: 19726 grad_norm: 4.1420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8888 loss: 0.8888 2022/08/09 09:08:21 - mmengine - INFO - Epoch(train) [37][820/1879] lr: 2.0000e-03 eta: 6:04:17 time: 0.8500 data_time: 0.0188 memory: 19726 grad_norm: 4.2238 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9495 loss: 0.9495 2022/08/09 09:08:38 - mmengine - INFO - Epoch(train) [37][840/1879] lr: 2.0000e-03 eta: 6:03:59 time: 0.8518 data_time: 0.0197 memory: 19726 grad_norm: 4.0361 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9143 loss: 0.9143 2022/08/09 09:08:55 - mmengine - INFO - Epoch(train) [37][860/1879] lr: 2.0000e-03 eta: 6:03:42 time: 0.8605 data_time: 0.0205 memory: 19726 grad_norm: 4.1826 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9460 loss: 0.9460 2022/08/09 09:09:12 - mmengine - INFO - Epoch(train) [37][880/1879] lr: 2.0000e-03 eta: 6:03:25 time: 0.8517 data_time: 0.0193 memory: 19726 grad_norm: 4.1474 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8961 loss: 0.8961 2022/08/09 09:09:30 - mmengine - INFO - Epoch(train) [37][900/1879] lr: 2.0000e-03 eta: 6:03:08 time: 0.8600 data_time: 0.0191 memory: 19726 grad_norm: 4.0681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7537 loss: 0.7537 2022/08/09 09:09:47 - mmengine - INFO - Epoch(train) [37][920/1879] lr: 2.0000e-03 eta: 6:02:51 time: 0.8519 data_time: 0.0195 memory: 19726 grad_norm: 3.9356 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9444 loss: 0.9444 2022/08/09 09:10:04 - mmengine - INFO - Epoch(train) [37][940/1879] lr: 2.0000e-03 eta: 6:02:34 time: 0.8497 data_time: 0.0184 memory: 19726 grad_norm: 4.1691 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7082 loss: 0.7082 2022/08/09 09:10:21 - mmengine - INFO - Epoch(train) [37][960/1879] lr: 2.0000e-03 eta: 6:02:16 time: 0.8551 data_time: 0.0197 memory: 19726 grad_norm: 4.0706 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9205 loss: 0.9205 2022/08/09 09:10:38 - mmengine - INFO - Epoch(train) [37][980/1879] lr: 2.0000e-03 eta: 6:01:59 time: 0.8568 data_time: 0.0189 memory: 19726 grad_norm: 4.0505 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8566 loss: 0.8566 2022/08/09 09:10:55 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 2.0000e-03 eta: 6:01:42 time: 0.8511 data_time: 0.0192 memory: 19726 grad_norm: 4.1395 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8482 loss: 0.8482 2022/08/09 09:11:12 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 2.0000e-03 eta: 6:01:25 time: 0.8569 data_time: 0.0195 memory: 19726 grad_norm: 4.0331 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/09 09:11:29 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 2.0000e-03 eta: 6:01:08 time: 0.8505 data_time: 0.0184 memory: 19726 grad_norm: 4.0910 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7363 loss: 0.7363 2022/08/09 09:11:46 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 2.0000e-03 eta: 6:00:50 time: 0.8544 data_time: 0.0181 memory: 19726 grad_norm: 4.1359 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9282 loss: 0.9282 2022/08/09 09:12:03 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 2.0000e-03 eta: 6:00:33 time: 0.8555 data_time: 0.0197 memory: 19726 grad_norm: 4.0072 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8305 loss: 0.8305 2022/08/09 09:12:20 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 2.0000e-03 eta: 6:00:16 time: 0.8557 data_time: 0.0190 memory: 19726 grad_norm: 4.2130 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9463 loss: 0.9463 2022/08/09 09:12:38 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 2.0000e-03 eta: 5:59:59 time: 0.8543 data_time: 0.0202 memory: 19726 grad_norm: 4.1225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9259 loss: 0.9259 2022/08/09 09:12:55 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 2.0000e-03 eta: 5:59:42 time: 0.8509 data_time: 0.0188 memory: 19726 grad_norm: 4.1008 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8169 loss: 0.8169 2022/08/09 09:13:12 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 2.0000e-03 eta: 5:59:25 time: 0.8497 data_time: 0.0188 memory: 19726 grad_norm: 4.2645 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8489 loss: 0.8489 2022/08/09 09:13:29 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 2.0000e-03 eta: 5:59:07 time: 0.8546 data_time: 0.0207 memory: 19726 grad_norm: 4.1238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6857 loss: 0.6857 2022/08/09 09:13:46 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 2.0000e-03 eta: 5:58:50 time: 0.8566 data_time: 0.0207 memory: 19726 grad_norm: 4.0558 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7889 loss: 0.7889 2022/08/09 09:14:03 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 2.0000e-03 eta: 5:58:33 time: 0.8520 data_time: 0.0208 memory: 19726 grad_norm: 4.1682 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8727 loss: 0.8727 2022/08/09 09:14:20 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 2.0000e-03 eta: 5:58:16 time: 0.8568 data_time: 0.0191 memory: 19726 grad_norm: 4.0573 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8161 loss: 0.8161 2022/08/09 09:14:37 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 2.0000e-03 eta: 5:57:59 time: 0.8493 data_time: 0.0192 memory: 19726 grad_norm: 4.2268 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8115 loss: 0.8115 2022/08/09 09:14:54 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 2.0000e-03 eta: 5:57:41 time: 0.8487 data_time: 0.0192 memory: 19726 grad_norm: 4.0721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7753 loss: 0.7753 2022/08/09 09:15:11 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 2.0000e-03 eta: 5:57:24 time: 0.8594 data_time: 0.0212 memory: 19726 grad_norm: 4.0601 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9306 loss: 0.9306 2022/08/09 09:15:28 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 2.0000e-03 eta: 5:57:07 time: 0.8568 data_time: 0.0213 memory: 19726 grad_norm: 4.1327 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8831 loss: 0.8831 2022/08/09 09:15:45 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 2.0000e-03 eta: 5:56:50 time: 0.8507 data_time: 0.0196 memory: 19726 grad_norm: 4.1416 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9968 loss: 0.9968 2022/08/09 09:15:59 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 09:16:02 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 2.0000e-03 eta: 5:56:33 time: 0.8518 data_time: 0.0200 memory: 19726 grad_norm: 4.0485 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9750 loss: 0.9750 2022/08/09 09:16:20 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 2.0000e-03 eta: 5:56:16 time: 0.8564 data_time: 0.0183 memory: 19726 grad_norm: 4.0279 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9725 loss: 0.9725 2022/08/09 09:16:37 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 2.0000e-03 eta: 5:55:58 time: 0.8534 data_time: 0.0181 memory: 19726 grad_norm: 4.2300 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8284 loss: 0.8284 2022/08/09 09:16:54 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 2.0000e-03 eta: 5:55:41 time: 0.8495 data_time: 0.0184 memory: 19726 grad_norm: 4.0775 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8475 loss: 0.8475 2022/08/09 09:17:11 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 2.0000e-03 eta: 5:55:24 time: 0.8521 data_time: 0.0189 memory: 19726 grad_norm: 4.1428 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6827 loss: 0.6827 2022/08/09 09:17:28 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 2.0000e-03 eta: 5:55:07 time: 0.8584 data_time: 0.0208 memory: 19726 grad_norm: 4.2003 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1059 loss: 1.1059 2022/08/09 09:17:45 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 2.0000e-03 eta: 5:54:50 time: 0.8479 data_time: 0.0186 memory: 19726 grad_norm: 4.2138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8720 loss: 0.8720 2022/08/09 09:18:02 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 2.0000e-03 eta: 5:54:32 time: 0.8533 data_time: 0.0191 memory: 19726 grad_norm: 4.1399 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9346 loss: 0.9346 2022/08/09 09:18:19 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 2.0000e-03 eta: 5:54:15 time: 0.8557 data_time: 0.0238 memory: 19726 grad_norm: 4.1712 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8723 loss: 0.8723 2022/08/09 09:18:36 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 2.0000e-03 eta: 5:53:58 time: 0.8519 data_time: 0.0189 memory: 19726 grad_norm: 4.1344 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7278 loss: 0.7278 2022/08/09 09:18:53 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 2.0000e-03 eta: 5:53:41 time: 0.8521 data_time: 0.0183 memory: 19726 grad_norm: 4.1840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0500 loss: 1.0500 2022/08/09 09:19:10 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 2.0000e-03 eta: 5:53:24 time: 0.8496 data_time: 0.0192 memory: 19726 grad_norm: 4.1232 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6905 loss: 0.6905 2022/08/09 09:19:27 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 2.0000e-03 eta: 5:53:07 time: 0.8604 data_time: 0.0190 memory: 19726 grad_norm: 4.2653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9204 loss: 0.9204 2022/08/09 09:19:44 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 2.0000e-03 eta: 5:52:49 time: 0.8493 data_time: 0.0193 memory: 19726 grad_norm: 4.1602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8480 loss: 0.8480 2022/08/09 09:20:01 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 2.0000e-03 eta: 5:52:32 time: 0.8547 data_time: 0.0191 memory: 19726 grad_norm: 4.1464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7729 loss: 0.7729 2022/08/09 09:20:19 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 2.0000e-03 eta: 5:52:15 time: 0.8782 data_time: 0.0294 memory: 19726 grad_norm: 3.9830 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7898 loss: 0.7898 2022/08/09 09:20:36 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 2.0000e-03 eta: 5:51:58 time: 0.8605 data_time: 0.0180 memory: 19726 grad_norm: 4.0085 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8704 loss: 0.8704 2022/08/09 09:20:53 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 2.0000e-03 eta: 5:51:41 time: 0.8482 data_time: 0.0183 memory: 19726 grad_norm: 4.1872 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9501 loss: 0.9501 2022/08/09 09:21:10 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 2.0000e-03 eta: 5:51:24 time: 0.8500 data_time: 0.0187 memory: 19726 grad_norm: 4.0476 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8356 loss: 0.8356 2022/08/09 09:21:27 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 2.0000e-03 eta: 5:51:06 time: 0.8581 data_time: 0.0218 memory: 19726 grad_norm: 4.1408 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8339 loss: 0.8339 2022/08/09 09:21:44 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 2.0000e-03 eta: 5:50:49 time: 0.8510 data_time: 0.0195 memory: 19726 grad_norm: 4.0097 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7215 loss: 0.7215 2022/08/09 09:22:01 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 2.0000e-03 eta: 5:50:32 time: 0.8539 data_time: 0.0188 memory: 19726 grad_norm: 4.0049 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8346 loss: 0.8346 2022/08/09 09:22:18 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 2.0000e-03 eta: 5:50:15 time: 0.8522 data_time: 0.0195 memory: 19726 grad_norm: 4.1734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0076 loss: 1.0076 2022/08/09 09:22:35 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 2.0000e-03 eta: 5:49:58 time: 0.8491 data_time: 0.0179 memory: 19726 grad_norm: 4.2011 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7978 loss: 0.7978 2022/08/09 09:22:52 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 2.0000e-03 eta: 5:49:40 time: 0.8490 data_time: 0.0191 memory: 19726 grad_norm: 4.0981 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8283 loss: 0.8283 2022/08/09 09:23:10 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 2.0000e-03 eta: 5:49:23 time: 0.8529 data_time: 0.0196 memory: 19726 grad_norm: 4.1327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7328 loss: 0.7328 2022/08/09 09:23:26 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 09:23:26 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 2.0000e-03 eta: 5:49:23 time: 0.8543 data_time: 0.0197 memory: 19726 grad_norm: 4.2902 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7414 loss: 0.7414 2022/08/09 09:23:40 - mmengine - INFO - Epoch(val) [37][20/155] eta: 0:01:35 time: 0.7075 data_time: 0.4673 memory: 2699 2022/08/09 09:23:50 - mmengine - INFO - Epoch(val) [37][40/155] eta: 0:00:56 time: 0.4888 data_time: 0.2481 memory: 2699 2022/08/09 09:24:02 - mmengine - INFO - Epoch(val) [37][60/155] eta: 0:00:58 time: 0.6143 data_time: 0.3751 memory: 2699 2022/08/09 09:24:12 - mmengine - INFO - Epoch(val) [37][80/155] eta: 0:00:36 time: 0.4899 data_time: 0.2504 memory: 2699 2022/08/09 09:24:24 - mmengine - INFO - Epoch(val) [37][100/155] eta: 0:00:32 time: 0.5939 data_time: 0.3546 memory: 2699 2022/08/09 09:24:34 - mmengine - INFO - Epoch(val) [37][120/155] eta: 0:00:17 time: 0.5072 data_time: 0.2682 memory: 2699 2022/08/09 09:24:47 - mmengine - INFO - Epoch(val) [37][140/155] eta: 0:00:09 time: 0.6607 data_time: 0.4222 memory: 2699 2022/08/09 09:24:54 - mmengine - INFO - Epoch(val) [37][155/155] acc/top1: 0.7187 acc/top5: 0.9032 acc/mean1: 0.7187 2022/08/09 09:25:17 - mmengine - INFO - Epoch(train) [38][20/1879] lr: 2.0000e-03 eta: 5:48:46 time: 1.0971 data_time: 0.2397 memory: 19726 grad_norm: 3.9981 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8258 loss: 0.8258 2022/08/09 09:25:33 - mmengine - INFO - Epoch(train) [38][40/1879] lr: 2.0000e-03 eta: 5:48:29 time: 0.8484 data_time: 0.0191 memory: 19726 grad_norm: 4.0892 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8280 loss: 0.8280 2022/08/09 09:25:51 - mmengine - INFO - Epoch(train) [38][60/1879] lr: 2.0000e-03 eta: 5:48:11 time: 0.8554 data_time: 0.0197 memory: 19726 grad_norm: 4.0950 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6713 loss: 0.6713 2022/08/09 09:26:08 - mmengine - INFO - Epoch(train) [38][80/1879] lr: 2.0000e-03 eta: 5:47:54 time: 0.8512 data_time: 0.0198 memory: 19726 grad_norm: 3.9665 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7339 loss: 0.7339 2022/08/09 09:26:25 - mmengine - INFO - Epoch(train) [38][100/1879] lr: 2.0000e-03 eta: 5:47:37 time: 0.8513 data_time: 0.0192 memory: 19726 grad_norm: 4.1487 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7691 loss: 0.7691 2022/08/09 09:26:42 - mmengine - INFO - Epoch(train) [38][120/1879] lr: 2.0000e-03 eta: 5:47:20 time: 0.8640 data_time: 0.0278 memory: 19726 grad_norm: 3.9419 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8351 loss: 0.8351 2022/08/09 09:26:59 - mmengine - INFO - Epoch(train) [38][140/1879] lr: 2.0000e-03 eta: 5:47:03 time: 0.8518 data_time: 0.0191 memory: 19726 grad_norm: 4.0746 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9171 loss: 0.9171 2022/08/09 09:27:16 - mmengine - INFO - Epoch(train) [38][160/1879] lr: 2.0000e-03 eta: 5:46:46 time: 0.8491 data_time: 0.0185 memory: 19726 grad_norm: 3.9998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7466 loss: 0.7466 2022/08/09 09:27:33 - mmengine - INFO - Epoch(train) [38][180/1879] lr: 2.0000e-03 eta: 5:46:28 time: 0.8517 data_time: 0.0208 memory: 19726 grad_norm: 4.0908 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9108 loss: 0.9108 2022/08/09 09:27:50 - mmengine - INFO - Epoch(train) [38][200/1879] lr: 2.0000e-03 eta: 5:46:11 time: 0.8691 data_time: 0.0277 memory: 19726 grad_norm: 4.1775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7771 loss: 0.7771 2022/08/09 09:28:08 - mmengine - INFO - Epoch(train) [38][220/1879] lr: 2.0000e-03 eta: 5:45:54 time: 0.8545 data_time: 0.0195 memory: 19726 grad_norm: 4.2639 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8649 loss: 0.8649 2022/08/09 09:28:25 - mmengine - INFO - Epoch(train) [38][240/1879] lr: 2.0000e-03 eta: 5:45:37 time: 0.8547 data_time: 0.0191 memory: 19726 grad_norm: 4.1985 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8060 loss: 0.8060 2022/08/09 09:28:42 - mmengine - INFO - Epoch(train) [38][260/1879] lr: 2.0000e-03 eta: 5:45:20 time: 0.8568 data_time: 0.0189 memory: 19726 grad_norm: 4.1359 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9076 loss: 0.9076 2022/08/09 09:28:59 - mmengine - INFO - Epoch(train) [38][280/1879] lr: 2.0000e-03 eta: 5:45:03 time: 0.8596 data_time: 0.0209 memory: 19726 grad_norm: 4.2170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7404 loss: 0.7404 2022/08/09 09:29:16 - mmengine - INFO - Epoch(train) [38][300/1879] lr: 2.0000e-03 eta: 5:44:45 time: 0.8496 data_time: 0.0181 memory: 19726 grad_norm: 4.0463 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9082 loss: 0.9082 2022/08/09 09:29:33 - mmengine - INFO - Epoch(train) [38][320/1879] lr: 2.0000e-03 eta: 5:44:28 time: 0.8595 data_time: 0.0272 memory: 19726 grad_norm: 4.0808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7561 loss: 0.7561 2022/08/09 09:29:50 - mmengine - INFO - Epoch(train) [38][340/1879] lr: 2.0000e-03 eta: 5:44:11 time: 0.8515 data_time: 0.0193 memory: 19726 grad_norm: 4.0135 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9182 loss: 0.9182 2022/08/09 09:30:07 - mmengine - INFO - Epoch(train) [38][360/1879] lr: 2.0000e-03 eta: 5:43:54 time: 0.8556 data_time: 0.0193 memory: 19726 grad_norm: 3.9496 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7238 loss: 0.7238 2022/08/09 09:30:24 - mmengine - INFO - Epoch(train) [38][380/1879] lr: 2.0000e-03 eta: 5:43:37 time: 0.8549 data_time: 0.0207 memory: 19726 grad_norm: 4.2982 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9520 loss: 0.9520 2022/08/09 09:30:42 - mmengine - INFO - Epoch(train) [38][400/1879] lr: 2.0000e-03 eta: 5:43:20 time: 0.8539 data_time: 0.0187 memory: 19726 grad_norm: 4.0859 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9498 loss: 0.9498 2022/08/09 09:30:59 - mmengine - INFO - Epoch(train) [38][420/1879] lr: 2.0000e-03 eta: 5:43:02 time: 0.8508 data_time: 0.0197 memory: 19726 grad_norm: 4.2304 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8380 loss: 0.8380 2022/08/09 09:31:16 - mmengine - INFO - Epoch(train) [38][440/1879] lr: 2.0000e-03 eta: 5:42:45 time: 0.8565 data_time: 0.0209 memory: 19726 grad_norm: 3.9962 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8721 loss: 0.8721 2022/08/09 09:31:33 - mmengine - INFO - Epoch(train) [38][460/1879] lr: 2.0000e-03 eta: 5:42:28 time: 0.8502 data_time: 0.0194 memory: 19726 grad_norm: 4.2968 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9970 loss: 0.9970 2022/08/09 09:31:47 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 09:31:50 - mmengine - INFO - Epoch(train) [38][480/1879] lr: 2.0000e-03 eta: 5:42:11 time: 0.8540 data_time: 0.0191 memory: 19726 grad_norm: 4.1044 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7170 loss: 0.7170 2022/08/09 09:32:07 - mmengine - INFO - Epoch(train) [38][500/1879] lr: 2.0000e-03 eta: 5:41:54 time: 0.8493 data_time: 0.0177 memory: 19726 grad_norm: 4.1257 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5820 loss: 0.5820 2022/08/09 09:32:24 - mmengine - INFO - Epoch(train) [38][520/1879] lr: 2.0000e-03 eta: 5:41:37 time: 0.8502 data_time: 0.0186 memory: 19726 grad_norm: 4.0587 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9290 loss: 0.9290 2022/08/09 09:32:41 - mmengine - INFO - Epoch(train) [38][540/1879] lr: 2.0000e-03 eta: 5:41:19 time: 0.8557 data_time: 0.0189 memory: 19726 grad_norm: 4.2022 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8728 loss: 0.8728 2022/08/09 09:32:58 - mmengine - INFO - Epoch(train) [38][560/1879] lr: 2.0000e-03 eta: 5:41:02 time: 0.8540 data_time: 0.0194 memory: 19726 grad_norm: 4.0693 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7536 loss: 0.7536 2022/08/09 09:33:15 - mmengine - INFO - Epoch(train) [38][580/1879] lr: 2.0000e-03 eta: 5:40:45 time: 0.8559 data_time: 0.0184 memory: 19726 grad_norm: 4.1472 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7614 loss: 0.7614 2022/08/09 09:33:32 - mmengine - INFO - Epoch(train) [38][600/1879] lr: 2.0000e-03 eta: 5:40:28 time: 0.8522 data_time: 0.0193 memory: 19726 grad_norm: 4.2537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9569 loss: 0.9569 2022/08/09 09:33:49 - mmengine - INFO - Epoch(train) [38][620/1879] lr: 2.0000e-03 eta: 5:40:11 time: 0.8502 data_time: 0.0194 memory: 19726 grad_norm: 4.4188 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0437 loss: 1.0437 2022/08/09 09:34:06 - mmengine - INFO - Epoch(train) [38][640/1879] lr: 2.0000e-03 eta: 5:39:53 time: 0.8496 data_time: 0.0184 memory: 19726 grad_norm: 4.1187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7702 loss: 0.7702 2022/08/09 09:34:23 - mmengine - INFO - Epoch(train) [38][660/1879] lr: 2.0000e-03 eta: 5:39:36 time: 0.8535 data_time: 0.0187 memory: 19726 grad_norm: 4.1346 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8040 loss: 0.8040 2022/08/09 09:34:40 - mmengine - INFO - Epoch(train) [38][680/1879] lr: 2.0000e-03 eta: 5:39:19 time: 0.8573 data_time: 0.0210 memory: 19726 grad_norm: 4.2039 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6921 loss: 0.6921 2022/08/09 09:34:57 - mmengine - INFO - Epoch(train) [38][700/1879] lr: 2.0000e-03 eta: 5:39:02 time: 0.8541 data_time: 0.0194 memory: 19726 grad_norm: 4.2104 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7631 loss: 0.7631 2022/08/09 09:35:15 - mmengine - INFO - Epoch(train) [38][720/1879] lr: 2.0000e-03 eta: 5:38:45 time: 0.8951 data_time: 0.0308 memory: 19726 grad_norm: 4.2167 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8551 loss: 0.8551 2022/08/09 09:35:33 - mmengine - INFO - Epoch(train) [38][740/1879] lr: 2.0000e-03 eta: 5:38:28 time: 0.8609 data_time: 0.0189 memory: 19726 grad_norm: 4.0409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7339 loss: 0.7339 2022/08/09 09:35:50 - mmengine - INFO - Epoch(train) [38][760/1879] lr: 2.0000e-03 eta: 5:38:11 time: 0.8562 data_time: 0.0193 memory: 19726 grad_norm: 4.0963 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8727 loss: 0.8727 2022/08/09 09:36:07 - mmengine - INFO - Epoch(train) [38][780/1879] lr: 2.0000e-03 eta: 5:37:54 time: 0.8505 data_time: 0.0184 memory: 19726 grad_norm: 4.2670 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8709 loss: 0.8709 2022/08/09 09:36:24 - mmengine - INFO - Epoch(train) [38][800/1879] lr: 2.0000e-03 eta: 5:37:36 time: 0.8519 data_time: 0.0186 memory: 19726 grad_norm: 4.2069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8915 loss: 0.8915 2022/08/09 09:36:41 - mmengine - INFO - Epoch(train) [38][820/1879] lr: 2.0000e-03 eta: 5:37:19 time: 0.8586 data_time: 0.0256 memory: 19726 grad_norm: 4.1497 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7579 loss: 0.7579 2022/08/09 09:36:58 - mmengine - INFO - Epoch(train) [38][840/1879] lr: 2.0000e-03 eta: 5:37:02 time: 0.8551 data_time: 0.0192 memory: 19726 grad_norm: 4.2050 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8846 loss: 0.8846 2022/08/09 09:37:15 - mmengine - INFO - Epoch(train) [38][860/1879] lr: 2.0000e-03 eta: 5:36:45 time: 0.8525 data_time: 0.0194 memory: 19726 grad_norm: 4.1352 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8232 loss: 0.8232 2022/08/09 09:37:33 - mmengine - INFO - Epoch(train) [38][880/1879] lr: 2.0000e-03 eta: 5:36:28 time: 0.8593 data_time: 0.0194 memory: 19726 grad_norm: 4.3922 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8754 loss: 0.8754 2022/08/09 09:37:50 - mmengine - INFO - Epoch(train) [38][900/1879] lr: 2.0000e-03 eta: 5:36:11 time: 0.8626 data_time: 0.0255 memory: 19726 grad_norm: 4.0718 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7697 loss: 0.7697 2022/08/09 09:38:07 - mmengine - INFO - Epoch(train) [38][920/1879] lr: 2.0000e-03 eta: 5:35:54 time: 0.8526 data_time: 0.0193 memory: 19726 grad_norm: 4.1476 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9022 loss: 0.9022 2022/08/09 09:38:24 - mmengine - INFO - Epoch(train) [38][940/1879] lr: 2.0000e-03 eta: 5:35:36 time: 0.8545 data_time: 0.0188 memory: 19726 grad_norm: 4.1601 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8124 loss: 0.8124 2022/08/09 09:38:41 - mmengine - INFO - Epoch(train) [38][960/1879] lr: 2.0000e-03 eta: 5:35:19 time: 0.8541 data_time: 0.0194 memory: 19726 grad_norm: 4.1177 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9271 loss: 0.9271 2022/08/09 09:38:58 - mmengine - INFO - Epoch(train) [38][980/1879] lr: 2.0000e-03 eta: 5:35:02 time: 0.8546 data_time: 0.0185 memory: 19726 grad_norm: 4.2100 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7001 loss: 0.7001 2022/08/09 09:39:15 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 2.0000e-03 eta: 5:34:45 time: 0.8514 data_time: 0.0184 memory: 19726 grad_norm: 4.0395 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9079 loss: 0.9079 2022/08/09 09:39:32 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 2.0000e-03 eta: 5:34:28 time: 0.8494 data_time: 0.0190 memory: 19726 grad_norm: 4.1883 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8404 loss: 0.8404 2022/08/09 09:39:49 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 2.0000e-03 eta: 5:34:10 time: 0.8537 data_time: 0.0198 memory: 19726 grad_norm: 4.2003 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8837 loss: 0.8837 2022/08/09 09:40:06 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 2.0000e-03 eta: 5:33:53 time: 0.8557 data_time: 0.0268 memory: 19726 grad_norm: 4.2431 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7576 loss: 0.7576 2022/08/09 09:40:24 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 2.0000e-03 eta: 5:33:36 time: 0.8975 data_time: 0.0245 memory: 19726 grad_norm: 4.1509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8632 loss: 0.8632 2022/08/09 09:40:41 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 2.0000e-03 eta: 5:33:19 time: 0.8521 data_time: 0.0199 memory: 19726 grad_norm: 4.0994 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8099 loss: 0.8099 2022/08/09 09:40:58 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 2.0000e-03 eta: 5:33:02 time: 0.8609 data_time: 0.0192 memory: 19726 grad_norm: 4.0919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0040 loss: 1.0040 2022/08/09 09:41:15 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 2.0000e-03 eta: 5:32:45 time: 0.8505 data_time: 0.0201 memory: 19726 grad_norm: 4.0977 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8050 loss: 0.8050 2022/08/09 09:41:33 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 2.0000e-03 eta: 5:32:28 time: 0.8563 data_time: 0.0194 memory: 19726 grad_norm: 4.1634 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8356 loss: 0.8356 2022/08/09 09:41:50 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 2.0000e-03 eta: 5:32:11 time: 0.8507 data_time: 0.0196 memory: 19726 grad_norm: 4.1267 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7817 loss: 0.7817 2022/08/09 09:42:07 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 2.0000e-03 eta: 5:31:53 time: 0.8486 data_time: 0.0186 memory: 19726 grad_norm: 4.1871 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/09 09:42:24 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 2.0000e-03 eta: 5:31:36 time: 0.8514 data_time: 0.0187 memory: 19726 grad_norm: 4.1254 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8163 loss: 0.8163 2022/08/09 09:42:41 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 2.0000e-03 eta: 5:31:19 time: 0.8490 data_time: 0.0197 memory: 19726 grad_norm: 4.0738 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7674 loss: 0.7674 2022/08/09 09:42:58 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 2.0000e-03 eta: 5:31:02 time: 0.8494 data_time: 0.0182 memory: 19726 grad_norm: 4.0823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8621 loss: 0.8621 2022/08/09 09:43:15 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 2.0000e-03 eta: 5:30:45 time: 0.8498 data_time: 0.0186 memory: 19726 grad_norm: 4.2244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9077 loss: 0.9077 2022/08/09 09:43:32 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 2.0000e-03 eta: 5:30:27 time: 0.8541 data_time: 0.0195 memory: 19726 grad_norm: 4.2696 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8349 loss: 0.8349 2022/08/09 09:43:49 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 2.0000e-03 eta: 5:30:10 time: 0.8596 data_time: 0.0269 memory: 19726 grad_norm: 4.2259 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9104 loss: 0.9104 2022/08/09 09:44:06 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 2.0000e-03 eta: 5:29:53 time: 0.8534 data_time: 0.0192 memory: 19726 grad_norm: 4.3280 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7845 loss: 0.7845 2022/08/09 09:44:23 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 2.0000e-03 eta: 5:29:36 time: 0.8528 data_time: 0.0188 memory: 19726 grad_norm: 4.1838 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9105 loss: 0.9105 2022/08/09 09:44:40 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 2.0000e-03 eta: 5:29:19 time: 0.8592 data_time: 0.0180 memory: 19726 grad_norm: 4.2252 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0186 loss: 1.0186 2022/08/09 09:44:57 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 2.0000e-03 eta: 5:29:02 time: 0.8500 data_time: 0.0185 memory: 19726 grad_norm: 4.1985 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0118 loss: 1.0118 2022/08/09 09:45:14 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 2.0000e-03 eta: 5:28:44 time: 0.8497 data_time: 0.0194 memory: 19726 grad_norm: 4.2429 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7255 loss: 0.7255 2022/08/09 09:45:31 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 2.0000e-03 eta: 5:28:27 time: 0.8551 data_time: 0.0196 memory: 19726 grad_norm: 4.1771 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8334 loss: 0.8334 2022/08/09 09:45:48 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 2.0000e-03 eta: 5:28:10 time: 0.8507 data_time: 0.0196 memory: 19726 grad_norm: 4.1197 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8024 loss: 0.8024 2022/08/09 09:46:03 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 09:46:05 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 2.0000e-03 eta: 5:27:53 time: 0.8544 data_time: 0.0200 memory: 19726 grad_norm: 4.1271 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9139 loss: 0.9139 2022/08/09 09:46:23 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 2.0000e-03 eta: 5:27:36 time: 0.8522 data_time: 0.0193 memory: 19726 grad_norm: 3.9708 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7995 loss: 0.7995 2022/08/09 09:46:40 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 2.0000e-03 eta: 5:27:19 time: 0.8519 data_time: 0.0195 memory: 19726 grad_norm: 4.2725 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9450 loss: 0.9450 2022/08/09 09:46:57 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 2.0000e-03 eta: 5:27:01 time: 0.8480 data_time: 0.0182 memory: 19726 grad_norm: 4.1186 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8395 loss: 0.8395 2022/08/09 09:47:14 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 2.0000e-03 eta: 5:26:44 time: 0.8610 data_time: 0.0196 memory: 19726 grad_norm: 4.1651 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8412 loss: 0.8412 2022/08/09 09:47:31 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 2.0000e-03 eta: 5:26:27 time: 0.8529 data_time: 0.0197 memory: 19726 grad_norm: 4.2141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8295 loss: 0.8295 2022/08/09 09:47:48 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 2.0000e-03 eta: 5:26:10 time: 0.8575 data_time: 0.0184 memory: 19726 grad_norm: 4.2329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7870 loss: 0.7870 2022/08/09 09:48:05 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 2.0000e-03 eta: 5:25:53 time: 0.8492 data_time: 0.0189 memory: 19726 grad_norm: 4.2258 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9927 loss: 0.9927 2022/08/09 09:48:22 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 2.0000e-03 eta: 5:25:36 time: 0.8594 data_time: 0.0247 memory: 19726 grad_norm: 4.1431 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8782 loss: 0.8782 2022/08/09 09:48:39 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 2.0000e-03 eta: 5:25:18 time: 0.8547 data_time: 0.0200 memory: 19726 grad_norm: 4.1389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/09 09:48:56 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 2.0000e-03 eta: 5:25:01 time: 0.8491 data_time: 0.0190 memory: 19726 grad_norm: 4.2101 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7223 loss: 0.7223 2022/08/09 09:49:13 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 2.0000e-03 eta: 5:24:44 time: 0.8565 data_time: 0.0189 memory: 19726 grad_norm: 4.1905 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8348 loss: 0.8348 2022/08/09 09:49:30 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 2.0000e-03 eta: 5:24:27 time: 0.8503 data_time: 0.0198 memory: 19726 grad_norm: 4.2994 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8756 loss: 0.8756 2022/08/09 09:49:48 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 2.0000e-03 eta: 5:24:10 time: 0.8546 data_time: 0.0191 memory: 19726 grad_norm: 4.1581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8345 loss: 0.8345 2022/08/09 09:50:05 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 2.0000e-03 eta: 5:23:53 time: 0.8525 data_time: 0.0198 memory: 19726 grad_norm: 4.1678 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7182 loss: 0.7182 2022/08/09 09:50:22 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 2.0000e-03 eta: 5:23:35 time: 0.8597 data_time: 0.0190 memory: 19726 grad_norm: 4.1845 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7895 loss: 0.7895 2022/08/09 09:50:39 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 2.0000e-03 eta: 5:23:18 time: 0.8494 data_time: 0.0182 memory: 19726 grad_norm: 4.1577 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8071 loss: 0.8071 2022/08/09 09:50:56 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 2.0000e-03 eta: 5:23:01 time: 0.8500 data_time: 0.0185 memory: 19726 grad_norm: 4.1992 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7115 loss: 0.7115 2022/08/09 09:51:13 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 2.0000e-03 eta: 5:22:44 time: 0.8545 data_time: 0.0201 memory: 19726 grad_norm: 4.1104 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7385 loss: 0.7385 2022/08/09 09:51:30 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 2.0000e-03 eta: 5:22:27 time: 0.8503 data_time: 0.0196 memory: 19726 grad_norm: 4.2064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9114 loss: 0.9114 2022/08/09 09:51:46 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 09:51:46 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 2.0000e-03 eta: 5:22:27 time: 0.8395 data_time: 0.0186 memory: 19726 grad_norm: 4.3874 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7813 loss: 0.7813 2022/08/09 09:52:00 - mmengine - INFO - Epoch(val) [38][20/155] eta: 0:01:36 time: 0.7155 data_time: 0.4656 memory: 2699 2022/08/09 09:52:09 - mmengine - INFO - Epoch(val) [38][40/155] eta: 0:00:52 time: 0.4526 data_time: 0.2135 memory: 2699 2022/08/09 09:52:21 - mmengine - INFO - Epoch(val) [38][60/155] eta: 0:00:56 time: 0.5946 data_time: 0.3551 memory: 2699 2022/08/09 09:52:31 - mmengine - INFO - Epoch(val) [38][80/155] eta: 0:00:37 time: 0.5021 data_time: 0.2634 memory: 2699 2022/08/09 09:52:43 - mmengine - INFO - Epoch(val) [38][100/155] eta: 0:00:33 time: 0.6093 data_time: 0.3699 memory: 2699 2022/08/09 09:52:53 - mmengine - INFO - Epoch(val) [38][120/155] eta: 0:00:17 time: 0.4914 data_time: 0.2527 memory: 2699 2022/08/09 09:53:07 - mmengine - INFO - Epoch(val) [38][140/155] eta: 0:00:10 time: 0.6706 data_time: 0.4325 memory: 2699 2022/08/09 09:53:14 - mmengine - INFO - Epoch(val) [38][155/155] acc/top1: 0.7224 acc/top5: 0.9045 acc/mean1: 0.7223 2022/08/09 09:53:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_35.pth is removed 2022/08/09 09:53:16 - mmengine - INFO - The best checkpoint with 0.7224 acc/top1 at 39 epoch is saved to best_acc/top1_epoch_39.pth. 2022/08/09 09:53:38 - mmengine - INFO - Epoch(train) [39][20/1879] lr: 2.0000e-03 eta: 5:21:50 time: 1.0822 data_time: 0.2396 memory: 19726 grad_norm: 4.0723 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7889 loss: 0.7889 2022/08/09 09:53:55 - mmengine - INFO - Epoch(train) [39][40/1879] lr: 2.0000e-03 eta: 5:21:32 time: 0.8554 data_time: 0.0258 memory: 19726 grad_norm: 4.1050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7231 loss: 0.7231 2022/08/09 09:54:12 - mmengine - INFO - Epoch(train) [39][60/1879] lr: 2.0000e-03 eta: 5:21:15 time: 0.8532 data_time: 0.0215 memory: 19726 grad_norm: 3.9824 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6417 loss: 0.6417 2022/08/09 09:54:29 - mmengine - INFO - Epoch(train) [39][80/1879] lr: 2.0000e-03 eta: 5:20:58 time: 0.8497 data_time: 0.0192 memory: 19726 grad_norm: 4.0519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7782 loss: 0.7782 2022/08/09 09:54:46 - mmengine - INFO - Epoch(train) [39][100/1879] lr: 2.0000e-03 eta: 5:20:41 time: 0.8489 data_time: 0.0200 memory: 19726 grad_norm: 4.1624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7282 loss: 0.7282 2022/08/09 09:55:03 - mmengine - INFO - Epoch(train) [39][120/1879] lr: 2.0000e-03 eta: 5:20:24 time: 0.8600 data_time: 0.0200 memory: 19726 grad_norm: 4.2643 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8551 loss: 0.8551 2022/08/09 09:55:21 - mmengine - INFO - Epoch(train) [39][140/1879] lr: 2.0000e-03 eta: 5:20:07 time: 0.8686 data_time: 0.0236 memory: 19726 grad_norm: 4.1506 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8166 loss: 0.8166 2022/08/09 09:55:38 - mmengine - INFO - Epoch(train) [39][160/1879] lr: 2.0000e-03 eta: 5:19:49 time: 0.8509 data_time: 0.0181 memory: 19726 grad_norm: 4.0136 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7515 loss: 0.7515 2022/08/09 09:55:55 - mmengine - INFO - Epoch(train) [39][180/1879] lr: 2.0000e-03 eta: 5:19:32 time: 0.8527 data_time: 0.0192 memory: 19726 grad_norm: 4.1856 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8513 loss: 0.8513 2022/08/09 09:56:12 - mmengine - INFO - Epoch(train) [39][200/1879] lr: 2.0000e-03 eta: 5:19:15 time: 0.8598 data_time: 0.0200 memory: 19726 grad_norm: 4.0956 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8472 loss: 0.8472 2022/08/09 09:56:29 - mmengine - INFO - Epoch(train) [39][220/1879] lr: 2.0000e-03 eta: 5:18:58 time: 0.8512 data_time: 0.0184 memory: 19726 grad_norm: 4.1666 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8352 loss: 0.8352 2022/08/09 09:56:46 - mmengine - INFO - Epoch(train) [39][240/1879] lr: 2.0000e-03 eta: 5:18:41 time: 0.8556 data_time: 0.0199 memory: 19726 grad_norm: 4.0924 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8025 loss: 0.8025 2022/08/09 09:57:03 - mmengine - INFO - Epoch(train) [39][260/1879] lr: 2.0000e-03 eta: 5:18:24 time: 0.8604 data_time: 0.0199 memory: 19726 grad_norm: 4.3023 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8826 loss: 0.8826 2022/08/09 09:57:20 - mmengine - INFO - Epoch(train) [39][280/1879] lr: 2.0000e-03 eta: 5:18:06 time: 0.8516 data_time: 0.0190 memory: 19726 grad_norm: 4.0668 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7714 loss: 0.7714 2022/08/09 09:57:37 - mmengine - INFO - Epoch(train) [39][300/1879] lr: 2.0000e-03 eta: 5:17:49 time: 0.8501 data_time: 0.0180 memory: 19726 grad_norm: 4.1247 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8322 loss: 0.8322 2022/08/09 09:57:54 - mmengine - INFO - Epoch(train) [39][320/1879] lr: 2.0000e-03 eta: 5:17:32 time: 0.8611 data_time: 0.0195 memory: 19726 grad_norm: 4.0932 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7236 loss: 0.7236 2022/08/09 09:58:12 - mmengine - INFO - Epoch(train) [39][340/1879] lr: 2.0000e-03 eta: 5:17:15 time: 0.8522 data_time: 0.0190 memory: 19726 grad_norm: 4.2215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7464 loss: 0.7464 2022/08/09 09:58:29 - mmengine - INFO - Epoch(train) [39][360/1879] lr: 2.0000e-03 eta: 5:16:58 time: 0.8536 data_time: 0.0193 memory: 19726 grad_norm: 4.3804 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/09 09:58:46 - mmengine - INFO - Epoch(train) [39][380/1879] lr: 2.0000e-03 eta: 5:16:41 time: 0.8555 data_time: 0.0181 memory: 19726 grad_norm: 4.1998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9384 loss: 0.9384 2022/08/09 09:59:03 - mmengine - INFO - Epoch(train) [39][400/1879] lr: 2.0000e-03 eta: 5:16:24 time: 0.8509 data_time: 0.0215 memory: 19726 grad_norm: 4.0734 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7991 loss: 0.7991 2022/08/09 09:59:20 - mmengine - INFO - Epoch(train) [39][420/1879] lr: 2.0000e-03 eta: 5:16:06 time: 0.8476 data_time: 0.0192 memory: 19726 grad_norm: 4.1776 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7630 loss: 0.7630 2022/08/09 09:59:37 - mmengine - INFO - Epoch(train) [39][440/1879] lr: 2.0000e-03 eta: 5:15:49 time: 0.8538 data_time: 0.0242 memory: 19726 grad_norm: 4.1089 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8083 loss: 0.8083 2022/08/09 09:59:54 - mmengine - INFO - Epoch(train) [39][460/1879] lr: 2.0000e-03 eta: 5:15:32 time: 0.8475 data_time: 0.0195 memory: 19726 grad_norm: 4.3279 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8189 loss: 0.8189 2022/08/09 10:00:11 - mmengine - INFO - Epoch(train) [39][480/1879] lr: 2.0000e-03 eta: 5:15:15 time: 0.8575 data_time: 0.0194 memory: 19726 grad_norm: 4.1709 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7867 loss: 0.7867 2022/08/09 10:00:28 - mmengine - INFO - Epoch(train) [39][500/1879] lr: 2.0000e-03 eta: 5:14:58 time: 0.8589 data_time: 0.0206 memory: 19726 grad_norm: 4.0407 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6591 loss: 0.6591 2022/08/09 10:00:45 - mmengine - INFO - Epoch(train) [39][520/1879] lr: 2.0000e-03 eta: 5:14:40 time: 0.8517 data_time: 0.0184 memory: 19726 grad_norm: 4.1424 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8825 loss: 0.8825 2022/08/09 10:01:02 - mmengine - INFO - Epoch(train) [39][540/1879] lr: 2.0000e-03 eta: 5:14:23 time: 0.8561 data_time: 0.0198 memory: 19726 grad_norm: 4.1211 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8743 loss: 0.8743 2022/08/09 10:01:19 - mmengine - INFO - Epoch(train) [39][560/1879] lr: 2.0000e-03 eta: 5:14:06 time: 0.8499 data_time: 0.0192 memory: 19726 grad_norm: 4.2265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8952 loss: 0.8952 2022/08/09 10:01:36 - mmengine - INFO - Epoch(train) [39][580/1879] lr: 2.0000e-03 eta: 5:13:49 time: 0.8502 data_time: 0.0196 memory: 19726 grad_norm: 4.2980 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9901 loss: 0.9901 2022/08/09 10:01:52 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 10:01:53 - mmengine - INFO - Epoch(train) [39][600/1879] lr: 2.0000e-03 eta: 5:13:32 time: 0.8498 data_time: 0.0200 memory: 19726 grad_norm: 4.2138 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9231 loss: 0.9231 2022/08/09 10:02:10 - mmengine - INFO - Epoch(train) [39][620/1879] lr: 2.0000e-03 eta: 5:13:15 time: 0.8563 data_time: 0.0187 memory: 19726 grad_norm: 4.1447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7301 loss: 0.7301 2022/08/09 10:02:27 - mmengine - INFO - Epoch(train) [39][640/1879] lr: 2.0000e-03 eta: 5:12:57 time: 0.8506 data_time: 0.0195 memory: 19726 grad_norm: 4.1710 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7459 loss: 0.7459 2022/08/09 10:02:45 - mmengine - INFO - Epoch(train) [39][660/1879] lr: 2.0000e-03 eta: 5:12:40 time: 0.8544 data_time: 0.0194 memory: 19726 grad_norm: 4.2780 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7503 loss: 0.7503 2022/08/09 10:03:02 - mmengine - INFO - Epoch(train) [39][680/1879] lr: 2.0000e-03 eta: 5:12:23 time: 0.8504 data_time: 0.0190 memory: 19726 grad_norm: 4.2862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8499 loss: 0.8499 2022/08/09 10:03:19 - mmengine - INFO - Epoch(train) [39][700/1879] lr: 2.0000e-03 eta: 5:12:06 time: 0.8514 data_time: 0.0189 memory: 19726 grad_norm: 4.2074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7047 loss: 0.7047 2022/08/09 10:03:36 - mmengine - INFO - Epoch(train) [39][720/1879] lr: 2.0000e-03 eta: 5:11:49 time: 0.8573 data_time: 0.0191 memory: 19726 grad_norm: 4.1227 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8874 loss: 0.8874 2022/08/09 10:03:53 - mmengine - INFO - Epoch(train) [39][740/1879] lr: 2.0000e-03 eta: 5:11:32 time: 0.8522 data_time: 0.0189 memory: 19726 grad_norm: 4.1516 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9702 loss: 0.9702 2022/08/09 10:04:10 - mmengine - INFO - Epoch(train) [39][760/1879] lr: 2.0000e-03 eta: 5:11:14 time: 0.8530 data_time: 0.0190 memory: 19726 grad_norm: 4.2516 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9743 loss: 0.9743 2022/08/09 10:04:27 - mmengine - INFO - Epoch(train) [39][780/1879] lr: 2.0000e-03 eta: 5:10:57 time: 0.8511 data_time: 0.0196 memory: 19726 grad_norm: 4.1864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7523 loss: 0.7523 2022/08/09 10:04:44 - mmengine - INFO - Epoch(train) [39][800/1879] lr: 2.0000e-03 eta: 5:10:40 time: 0.8554 data_time: 0.0190 memory: 19726 grad_norm: 4.2758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8602 loss: 0.8602 2022/08/09 10:05:01 - mmengine - INFO - Epoch(train) [39][820/1879] lr: 2.0000e-03 eta: 5:10:23 time: 0.8510 data_time: 0.0198 memory: 19726 grad_norm: 4.2516 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9846 loss: 0.9846 2022/08/09 10:05:18 - mmengine - INFO - Epoch(train) [39][840/1879] lr: 2.0000e-03 eta: 5:10:06 time: 0.8557 data_time: 0.0218 memory: 19726 grad_norm: 4.1037 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7497 loss: 0.7497 2022/08/09 10:05:35 - mmengine - INFO - Epoch(train) [39][860/1879] lr: 2.0000e-03 eta: 5:09:49 time: 0.8529 data_time: 0.0190 memory: 19726 grad_norm: 4.3160 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7625 loss: 0.7625 2022/08/09 10:05:52 - mmengine - INFO - Epoch(train) [39][880/1879] lr: 2.0000e-03 eta: 5:09:32 time: 0.8629 data_time: 0.0208 memory: 19726 grad_norm: 4.0801 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9524 loss: 0.9524 2022/08/09 10:06:10 - mmengine - INFO - Epoch(train) [39][900/1879] lr: 2.0000e-03 eta: 5:09:14 time: 0.8518 data_time: 0.0195 memory: 19726 grad_norm: 4.1147 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8336 loss: 0.8336 2022/08/09 10:06:27 - mmengine - INFO - Epoch(train) [39][920/1879] lr: 2.0000e-03 eta: 5:08:57 time: 0.8536 data_time: 0.0182 memory: 19726 grad_norm: 4.1569 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9120 loss: 0.9120 2022/08/09 10:06:44 - mmengine - INFO - Epoch(train) [39][940/1879] lr: 2.0000e-03 eta: 5:08:40 time: 0.8528 data_time: 0.0197 memory: 19726 grad_norm: 4.1215 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7527 loss: 0.7527 2022/08/09 10:07:01 - mmengine - INFO - Epoch(train) [39][960/1879] lr: 2.0000e-03 eta: 5:08:23 time: 0.8547 data_time: 0.0196 memory: 19726 grad_norm: 4.2986 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7832 loss: 0.7832 2022/08/09 10:07:18 - mmengine - INFO - Epoch(train) [39][980/1879] lr: 2.0000e-03 eta: 5:08:06 time: 0.8534 data_time: 0.0201 memory: 19726 grad_norm: 4.0511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8290 loss: 0.8290 2022/08/09 10:07:35 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 2.0000e-03 eta: 5:07:49 time: 0.8557 data_time: 0.0190 memory: 19726 grad_norm: 4.1048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8510 loss: 0.8510 2022/08/09 10:07:52 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 2.0000e-03 eta: 5:07:31 time: 0.8595 data_time: 0.0236 memory: 19726 grad_norm: 4.1115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7594 loss: 0.7594 2022/08/09 10:08:09 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 2.0000e-03 eta: 5:07:14 time: 0.8581 data_time: 0.0191 memory: 19726 grad_norm: 4.0689 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8444 loss: 0.8444 2022/08/09 10:08:26 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 2.0000e-03 eta: 5:06:57 time: 0.8511 data_time: 0.0193 memory: 19726 grad_norm: 4.1085 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8077 loss: 0.8077 2022/08/09 10:08:44 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 2.0000e-03 eta: 5:06:40 time: 0.8608 data_time: 0.0200 memory: 19726 grad_norm: 4.2943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/08/09 10:09:01 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 2.0000e-03 eta: 5:06:23 time: 0.8492 data_time: 0.0179 memory: 19726 grad_norm: 4.1898 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8751 loss: 0.8751 2022/08/09 10:09:18 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 2.0000e-03 eta: 5:06:06 time: 0.8495 data_time: 0.0181 memory: 19726 grad_norm: 4.1616 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8181 loss: 0.8181 2022/08/09 10:09:35 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 2.0000e-03 eta: 5:05:48 time: 0.8531 data_time: 0.0201 memory: 19726 grad_norm: 4.2184 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8309 loss: 0.8309 2022/08/09 10:09:52 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 2.0000e-03 eta: 5:05:31 time: 0.8549 data_time: 0.0197 memory: 19726 grad_norm: 4.4311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9353 loss: 0.9353 2022/08/09 10:10:09 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 2.0000e-03 eta: 5:05:14 time: 0.8500 data_time: 0.0181 memory: 19726 grad_norm: 4.2179 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8792 loss: 0.8792 2022/08/09 10:10:26 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 2.0000e-03 eta: 5:04:57 time: 0.8557 data_time: 0.0192 memory: 19726 grad_norm: 4.2091 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7385 loss: 0.7385 2022/08/09 10:10:43 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 2.0000e-03 eta: 5:04:40 time: 0.8527 data_time: 0.0191 memory: 19726 grad_norm: 4.2264 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/08/09 10:11:00 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 2.0000e-03 eta: 5:04:23 time: 0.8482 data_time: 0.0190 memory: 19726 grad_norm: 4.1721 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9199 loss: 0.9199 2022/08/09 10:11:17 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 2.0000e-03 eta: 5:04:05 time: 0.8605 data_time: 0.0189 memory: 19726 grad_norm: 4.2726 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9301 loss: 0.9301 2022/08/09 10:11:34 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 2.0000e-03 eta: 5:03:48 time: 0.8629 data_time: 0.0302 memory: 19726 grad_norm: 4.2580 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7822 loss: 0.7822 2022/08/09 10:11:52 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 2.0000e-03 eta: 5:03:31 time: 0.8601 data_time: 0.0292 memory: 19726 grad_norm: 4.3642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8413 loss: 0.8413 2022/08/09 10:12:09 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 2.0000e-03 eta: 5:03:14 time: 0.8541 data_time: 0.0194 memory: 19726 grad_norm: 4.2067 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7622 loss: 0.7622 2022/08/09 10:12:26 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 2.0000e-03 eta: 5:02:57 time: 0.8506 data_time: 0.0198 memory: 19726 grad_norm: 4.1878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9494 loss: 0.9494 2022/08/09 10:12:43 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 2.0000e-03 eta: 5:02:40 time: 0.8545 data_time: 0.0192 memory: 19726 grad_norm: 4.1212 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9079 loss: 0.9079 2022/08/09 10:13:00 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 2.0000e-03 eta: 5:02:23 time: 0.8486 data_time: 0.0186 memory: 19726 grad_norm: 4.2655 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9609 loss: 0.9609 2022/08/09 10:13:17 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 2.0000e-03 eta: 5:02:05 time: 0.8485 data_time: 0.0178 memory: 19726 grad_norm: 4.1687 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9336 loss: 0.9336 2022/08/09 10:13:34 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 2.0000e-03 eta: 5:01:48 time: 0.8553 data_time: 0.0187 memory: 19726 grad_norm: 4.1503 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8202 loss: 0.8202 2022/08/09 10:13:51 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 2.0000e-03 eta: 5:01:31 time: 0.8489 data_time: 0.0189 memory: 19726 grad_norm: 4.1842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9087 loss: 0.9087 2022/08/09 10:14:08 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 2.0000e-03 eta: 5:01:14 time: 0.8481 data_time: 0.0185 memory: 19726 grad_norm: 4.2640 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/09 10:14:25 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 2.0000e-03 eta: 5:00:57 time: 0.8547 data_time: 0.0200 memory: 19726 grad_norm: 4.2176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8650 loss: 0.8650 2022/08/09 10:14:42 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 2.0000e-03 eta: 5:00:39 time: 0.8521 data_time: 0.0201 memory: 19726 grad_norm: 4.2336 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8124 loss: 0.8124 2022/08/09 10:14:59 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 2.0000e-03 eta: 5:00:22 time: 0.8540 data_time: 0.0197 memory: 19726 grad_norm: 4.1945 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7581 loss: 0.7581 2022/08/09 10:15:16 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 2.0000e-03 eta: 5:00:05 time: 0.8512 data_time: 0.0198 memory: 19726 grad_norm: 4.2804 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7450 loss: 0.7450 2022/08/09 10:15:33 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 2.0000e-03 eta: 4:59:48 time: 0.8545 data_time: 0.0208 memory: 19726 grad_norm: 4.2177 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7631 loss: 0.7631 2022/08/09 10:15:50 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 2.0000e-03 eta: 4:59:31 time: 0.8551 data_time: 0.0199 memory: 19726 grad_norm: 4.2068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8658 loss: 0.8658 2022/08/09 10:16:06 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 10:16:07 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 2.0000e-03 eta: 4:59:14 time: 0.8572 data_time: 0.0188 memory: 19726 grad_norm: 4.3112 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8909 loss: 0.8909 2022/08/09 10:16:24 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 2.0000e-03 eta: 4:58:57 time: 0.8500 data_time: 0.0192 memory: 19726 grad_norm: 4.3487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9040 loss: 0.9040 2022/08/09 10:16:42 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 2.0000e-03 eta: 4:58:39 time: 0.8507 data_time: 0.0185 memory: 19726 grad_norm: 4.2655 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8184 loss: 0.8184 2022/08/09 10:16:59 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 2.0000e-03 eta: 4:58:22 time: 0.8558 data_time: 0.0195 memory: 19726 grad_norm: 4.1591 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7890 loss: 0.7890 2022/08/09 10:17:16 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 2.0000e-03 eta: 4:58:05 time: 0.8486 data_time: 0.0187 memory: 19726 grad_norm: 4.2620 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7900 loss: 0.7900 2022/08/09 10:17:33 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 2.0000e-03 eta: 4:57:48 time: 0.8545 data_time: 0.0200 memory: 19726 grad_norm: 4.1526 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8705 loss: 0.8705 2022/08/09 10:17:50 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 2.0000e-03 eta: 4:57:31 time: 0.8493 data_time: 0.0181 memory: 19726 grad_norm: 4.1575 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7645 loss: 0.7645 2022/08/09 10:18:07 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 2.0000e-03 eta: 4:57:14 time: 0.8553 data_time: 0.0183 memory: 19726 grad_norm: 4.1216 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7400 loss: 0.7400 2022/08/09 10:18:24 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 2.0000e-03 eta: 4:56:56 time: 0.8504 data_time: 0.0194 memory: 19726 grad_norm: 4.1234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8271 loss: 0.8271 2022/08/09 10:18:41 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 2.0000e-03 eta: 4:56:39 time: 0.8486 data_time: 0.0193 memory: 19726 grad_norm: 4.4505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8644 loss: 0.8644 2022/08/09 10:18:58 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 2.0000e-03 eta: 4:56:22 time: 0.8562 data_time: 0.0189 memory: 19726 grad_norm: 4.2627 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8293 loss: 0.8293 2022/08/09 10:19:15 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 2.0000e-03 eta: 4:56:05 time: 0.8541 data_time: 0.0191 memory: 19726 grad_norm: 4.3049 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8321 loss: 0.8321 2022/08/09 10:19:32 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 2.0000e-03 eta: 4:55:48 time: 0.8675 data_time: 0.0258 memory: 19726 grad_norm: 4.1786 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8669 loss: 0.8669 2022/08/09 10:19:49 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 2.0000e-03 eta: 4:55:31 time: 0.8504 data_time: 0.0181 memory: 19726 grad_norm: 4.2515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8357 loss: 0.8357 2022/08/09 10:20:05 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 10:20:05 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 2.0000e-03 eta: 4:55:31 time: 0.8314 data_time: 0.0179 memory: 19726 grad_norm: 4.2762 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 0.8037 loss: 0.8037 2022/08/09 10:20:05 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/09 10:20:23 - mmengine - INFO - Epoch(val) [39][20/155] eta: 0:01:45 time: 0.7792 data_time: 0.5392 memory: 2699 2022/08/09 10:20:33 - mmengine - INFO - Epoch(val) [39][40/155] eta: 0:00:55 time: 0.4789 data_time: 0.2388 memory: 2699 2022/08/09 10:20:45 - mmengine - INFO - Epoch(val) [39][60/155] eta: 0:00:57 time: 0.6087 data_time: 0.3691 memory: 2699 2022/08/09 10:20:55 - mmengine - INFO - Epoch(val) [39][80/155] eta: 0:00:35 time: 0.4791 data_time: 0.2396 memory: 2699 2022/08/09 10:21:07 - mmengine - INFO - Epoch(val) [39][100/155] eta: 0:00:33 time: 0.6120 data_time: 0.3715 memory: 2699 2022/08/09 10:21:18 - mmengine - INFO - Epoch(val) [39][120/155] eta: 0:00:19 time: 0.5496 data_time: 0.3096 memory: 2699 2022/08/09 10:21:31 - mmengine - INFO - Epoch(val) [39][140/155] eta: 0:00:09 time: 0.6664 data_time: 0.4282 memory: 2699 2022/08/09 10:21:38 - mmengine - INFO - Epoch(val) [39][155/155] acc/top1: 0.7189 acc/top5: 0.9060 acc/mean1: 0.7188 2022/08/09 10:22:00 - mmengine - INFO - Epoch(train) [40][20/1879] lr: 2.0000e-03 eta: 4:54:54 time: 1.0770 data_time: 0.2041 memory: 19726 grad_norm: 4.1798 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7574 loss: 0.7574 2022/08/09 10:22:17 - mmengine - INFO - Epoch(train) [40][40/1879] lr: 2.0000e-03 eta: 4:54:37 time: 0.8466 data_time: 0.0185 memory: 19726 grad_norm: 4.1643 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7843 loss: 0.7843 2022/08/09 10:22:34 - mmengine - INFO - Epoch(train) [40][60/1879] lr: 2.0000e-03 eta: 4:54:19 time: 0.8484 data_time: 0.0187 memory: 19726 grad_norm: 4.2042 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7279 loss: 0.7279 2022/08/09 10:22:51 - mmengine - INFO - Epoch(train) [40][80/1879] lr: 2.0000e-03 eta: 4:54:02 time: 0.8480 data_time: 0.0182 memory: 19726 grad_norm: 4.2024 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7420 loss: 0.7420 2022/08/09 10:23:08 - mmengine - INFO - Epoch(train) [40][100/1879] lr: 2.0000e-03 eta: 4:53:45 time: 0.8513 data_time: 0.0195 memory: 19726 grad_norm: 4.0732 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8061 loss: 0.8061 2022/08/09 10:23:25 - mmengine - INFO - Epoch(train) [40][120/1879] lr: 2.0000e-03 eta: 4:53:28 time: 0.8605 data_time: 0.0186 memory: 19726 grad_norm: 4.2448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7955 loss: 0.7955 2022/08/09 10:23:42 - mmengine - INFO - Epoch(train) [40][140/1879] lr: 2.0000e-03 eta: 4:53:11 time: 0.8512 data_time: 0.0190 memory: 19726 grad_norm: 4.2707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9978 loss: 0.9978 2022/08/09 10:23:59 - mmengine - INFO - Epoch(train) [40][160/1879] lr: 2.0000e-03 eta: 4:52:54 time: 0.8548 data_time: 0.0195 memory: 19726 grad_norm: 4.2630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7423 loss: 0.7423 2022/08/09 10:24:16 - mmengine - INFO - Epoch(train) [40][180/1879] lr: 2.0000e-03 eta: 4:52:36 time: 0.8539 data_time: 0.0191 memory: 19726 grad_norm: 4.2960 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7965 loss: 0.7965 2022/08/09 10:24:33 - mmengine - INFO - Epoch(train) [40][200/1879] lr: 2.0000e-03 eta: 4:52:19 time: 0.8525 data_time: 0.0196 memory: 19726 grad_norm: 4.3407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7986 loss: 0.7986 2022/08/09 10:24:50 - mmengine - INFO - Epoch(train) [40][220/1879] lr: 2.0000e-03 eta: 4:52:02 time: 0.8531 data_time: 0.0187 memory: 19726 grad_norm: 4.1149 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8447 loss: 0.8447 2022/08/09 10:25:07 - mmengine - INFO - Epoch(train) [40][240/1879] lr: 2.0000e-03 eta: 4:51:45 time: 0.8531 data_time: 0.0179 memory: 19726 grad_norm: 4.2265 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8423 loss: 0.8423 2022/08/09 10:25:25 - mmengine - INFO - Epoch(train) [40][260/1879] lr: 2.0000e-03 eta: 4:51:28 time: 0.8972 data_time: 0.0243 memory: 19726 grad_norm: 4.3360 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9746 loss: 0.9746 2022/08/09 10:25:43 - mmengine - INFO - Epoch(train) [40][280/1879] lr: 2.0000e-03 eta: 4:51:11 time: 0.8690 data_time: 0.0283 memory: 19726 grad_norm: 4.0941 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7735 loss: 0.7735 2022/08/09 10:26:00 - mmengine - INFO - Epoch(train) [40][300/1879] lr: 2.0000e-03 eta: 4:50:54 time: 0.8528 data_time: 0.0192 memory: 19726 grad_norm: 4.0823 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7145 loss: 0.7145 2022/08/09 10:26:17 - mmengine - INFO - Epoch(train) [40][320/1879] lr: 2.0000e-03 eta: 4:50:37 time: 0.8571 data_time: 0.0195 memory: 19726 grad_norm: 4.1078 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6538 loss: 0.6538 2022/08/09 10:26:34 - mmengine - INFO - Epoch(train) [40][340/1879] lr: 2.0000e-03 eta: 4:50:20 time: 0.8491 data_time: 0.0197 memory: 19726 grad_norm: 4.1137 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9790 loss: 0.9790 2022/08/09 10:26:51 - mmengine - INFO - Epoch(train) [40][360/1879] lr: 2.0000e-03 eta: 4:50:02 time: 0.8504 data_time: 0.0186 memory: 19726 grad_norm: 4.2125 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8880 loss: 0.8880 2022/08/09 10:27:08 - mmengine - INFO - Epoch(train) [40][380/1879] lr: 2.0000e-03 eta: 4:49:45 time: 0.8521 data_time: 0.0194 memory: 19726 grad_norm: 4.2376 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8042 loss: 0.8042 2022/08/09 10:27:25 - mmengine - INFO - Epoch(train) [40][400/1879] lr: 2.0000e-03 eta: 4:49:28 time: 0.8565 data_time: 0.0242 memory: 19726 grad_norm: 4.3822 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9562 loss: 0.9562 2022/08/09 10:27:42 - mmengine - INFO - Epoch(train) [40][420/1879] lr: 2.0000e-03 eta: 4:49:11 time: 0.8512 data_time: 0.0195 memory: 19726 grad_norm: 4.1800 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0285 loss: 1.0285 2022/08/09 10:27:59 - mmengine - INFO - Epoch(train) [40][440/1879] lr: 2.0000e-03 eta: 4:48:54 time: 0.8485 data_time: 0.0192 memory: 19726 grad_norm: 4.3695 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8329 loss: 0.8329 2022/08/09 10:28:16 - mmengine - INFO - Epoch(train) [40][460/1879] lr: 2.0000e-03 eta: 4:48:37 time: 0.8495 data_time: 0.0189 memory: 19726 grad_norm: 4.2110 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8345 loss: 0.8345 2022/08/09 10:28:33 - mmengine - INFO - Epoch(train) [40][480/1879] lr: 2.0000e-03 eta: 4:48:19 time: 0.8533 data_time: 0.0190 memory: 19726 grad_norm: 4.2162 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7944 loss: 0.7944 2022/08/09 10:28:50 - mmengine - INFO - Epoch(train) [40][500/1879] lr: 2.0000e-03 eta: 4:48:02 time: 0.8520 data_time: 0.0184 memory: 19726 grad_norm: 4.3312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7011 loss: 0.7011 2022/08/09 10:29:07 - mmengine - INFO - Epoch(train) [40][520/1879] lr: 2.0000e-03 eta: 4:47:45 time: 0.8548 data_time: 0.0197 memory: 19726 grad_norm: 4.1179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9066 loss: 0.9066 2022/08/09 10:29:24 - mmengine - INFO - Epoch(train) [40][540/1879] lr: 2.0000e-03 eta: 4:47:28 time: 0.8570 data_time: 0.0192 memory: 19726 grad_norm: 4.1784 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7548 loss: 0.7548 2022/08/09 10:29:42 - mmengine - INFO - Epoch(train) [40][560/1879] lr: 2.0000e-03 eta: 4:47:11 time: 0.8506 data_time: 0.0192 memory: 19726 grad_norm: 4.1593 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7654 loss: 0.7654 2022/08/09 10:29:59 - mmengine - INFO - Epoch(train) [40][580/1879] lr: 2.0000e-03 eta: 4:46:54 time: 0.8495 data_time: 0.0199 memory: 19726 grad_norm: 4.1130 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6788 loss: 0.6788 2022/08/09 10:30:16 - mmengine - INFO - Epoch(train) [40][600/1879] lr: 2.0000e-03 eta: 4:46:37 time: 0.8771 data_time: 0.0245 memory: 19726 grad_norm: 4.2440 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9001 loss: 0.9001 2022/08/09 10:30:33 - mmengine - INFO - Epoch(train) [40][620/1879] lr: 2.0000e-03 eta: 4:46:19 time: 0.8665 data_time: 0.0215 memory: 19726 grad_norm: 4.1099 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8251 loss: 0.8251 2022/08/09 10:30:50 - mmengine - INFO - Epoch(train) [40][640/1879] lr: 2.0000e-03 eta: 4:46:02 time: 0.8504 data_time: 0.0189 memory: 19726 grad_norm: 4.2000 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6609 loss: 0.6609 2022/08/09 10:31:08 - mmengine - INFO - Epoch(train) [40][660/1879] lr: 2.0000e-03 eta: 4:45:45 time: 0.8540 data_time: 0.0185 memory: 19726 grad_norm: 4.1178 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7379 loss: 0.7379 2022/08/09 10:31:25 - mmengine - INFO - Epoch(train) [40][680/1879] lr: 2.0000e-03 eta: 4:45:28 time: 0.8522 data_time: 0.0189 memory: 19726 grad_norm: 4.3098 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7531 loss: 0.7531 2022/08/09 10:31:42 - mmengine - INFO - Epoch(train) [40][700/1879] lr: 2.0000e-03 eta: 4:45:11 time: 0.8526 data_time: 0.0189 memory: 19726 grad_norm: 4.2068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8355 loss: 0.8355 2022/08/09 10:31:58 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 10:31:59 - mmengine - INFO - Epoch(train) [40][720/1879] lr: 2.0000e-03 eta: 4:44:54 time: 0.8505 data_time: 0.0193 memory: 19726 grad_norm: 4.2419 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8115 loss: 0.8115 2022/08/09 10:32:16 - mmengine - INFO - Epoch(train) [40][740/1879] lr: 2.0000e-03 eta: 4:44:36 time: 0.8584 data_time: 0.0195 memory: 19726 grad_norm: 4.1858 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8751 loss: 0.8751 2022/08/09 10:32:33 - mmengine - INFO - Epoch(train) [40][760/1879] lr: 2.0000e-03 eta: 4:44:19 time: 0.8544 data_time: 0.0200 memory: 19726 grad_norm: 4.2356 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9115 loss: 0.9115 2022/08/09 10:32:50 - mmengine - INFO - Epoch(train) [40][780/1879] lr: 2.0000e-03 eta: 4:44:02 time: 0.8532 data_time: 0.0191 memory: 19726 grad_norm: 4.2806 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8496 loss: 0.8496 2022/08/09 10:33:07 - mmengine - INFO - Epoch(train) [40][800/1879] lr: 2.0000e-03 eta: 4:43:45 time: 0.8545 data_time: 0.0194 memory: 19726 grad_norm: 4.3139 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7195 loss: 0.7195 2022/08/09 10:33:24 - mmengine - INFO - Epoch(train) [40][820/1879] lr: 2.0000e-03 eta: 4:43:28 time: 0.8556 data_time: 0.0196 memory: 19726 grad_norm: 4.2063 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7230 loss: 0.7230 2022/08/09 10:33:41 - mmengine - INFO - Epoch(train) [40][840/1879] lr: 2.0000e-03 eta: 4:43:11 time: 0.8515 data_time: 0.0188 memory: 19726 grad_norm: 4.1904 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6710 loss: 0.6710 2022/08/09 10:33:58 - mmengine - INFO - Epoch(train) [40][860/1879] lr: 2.0000e-03 eta: 4:42:54 time: 0.8558 data_time: 0.0193 memory: 19726 grad_norm: 4.2642 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7204 loss: 0.7204 2022/08/09 10:34:16 - mmengine - INFO - Epoch(train) [40][880/1879] lr: 2.0000e-03 eta: 4:42:37 time: 0.8720 data_time: 0.0302 memory: 19726 grad_norm: 4.1798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7715 loss: 0.7715 2022/08/09 10:34:33 - mmengine - INFO - Epoch(train) [40][900/1879] lr: 2.0000e-03 eta: 4:42:19 time: 0.8530 data_time: 0.0204 memory: 19726 grad_norm: 4.3149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7329 loss: 0.7329 2022/08/09 10:34:50 - mmengine - INFO - Epoch(train) [40][920/1879] lr: 2.0000e-03 eta: 4:42:02 time: 0.8513 data_time: 0.0187 memory: 19726 grad_norm: 4.3175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8521 loss: 0.8521 2022/08/09 10:35:07 - mmengine - INFO - Epoch(train) [40][940/1879] lr: 2.0000e-03 eta: 4:41:45 time: 0.8574 data_time: 0.0208 memory: 19726 grad_norm: 4.3146 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8860 loss: 0.8860 2022/08/09 10:35:25 - mmengine - INFO - Epoch(train) [40][960/1879] lr: 2.0000e-03 eta: 4:41:28 time: 0.8731 data_time: 0.0261 memory: 19726 grad_norm: 4.2489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7743 loss: 0.7743 2022/08/09 10:35:42 - mmengine - INFO - Epoch(train) [40][980/1879] lr: 2.0000e-03 eta: 4:41:11 time: 0.8508 data_time: 0.0167 memory: 19726 grad_norm: 4.2762 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7423 loss: 0.7423 2022/08/09 10:35:59 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 2.0000e-03 eta: 4:40:54 time: 0.8598 data_time: 0.0187 memory: 19726 grad_norm: 4.4118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8742 loss: 0.8742 2022/08/09 10:36:16 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 2.0000e-03 eta: 4:40:37 time: 0.8558 data_time: 0.0205 memory: 19726 grad_norm: 4.4107 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/09 10:36:33 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 2.0000e-03 eta: 4:40:19 time: 0.8616 data_time: 0.0261 memory: 19726 grad_norm: 4.1868 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7968 loss: 0.7968 2022/08/09 10:36:50 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 2.0000e-03 eta: 4:40:02 time: 0.8553 data_time: 0.0202 memory: 19726 grad_norm: 4.3024 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8891 loss: 0.8891 2022/08/09 10:37:07 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 2.0000e-03 eta: 4:39:45 time: 0.8547 data_time: 0.0187 memory: 19726 grad_norm: 4.2971 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7255 loss: 0.7255 2022/08/09 10:37:24 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 2.0000e-03 eta: 4:39:28 time: 0.8560 data_time: 0.0192 memory: 19726 grad_norm: 4.1567 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7291 loss: 0.7291 2022/08/09 10:37:42 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 2.0000e-03 eta: 4:39:11 time: 0.8514 data_time: 0.0183 memory: 19726 grad_norm: 4.2079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7628 loss: 0.7628 2022/08/09 10:37:59 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 2.0000e-03 eta: 4:38:54 time: 0.8637 data_time: 0.0195 memory: 19726 grad_norm: 4.2594 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8869 loss: 0.8869 2022/08/09 10:38:16 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 2.0000e-03 eta: 4:38:37 time: 0.8499 data_time: 0.0199 memory: 19726 grad_norm: 4.2704 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8763 loss: 0.8763 2022/08/09 10:38:33 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 2.0000e-03 eta: 4:38:19 time: 0.8564 data_time: 0.0193 memory: 19726 grad_norm: 4.4815 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9650 loss: 0.9650 2022/08/09 10:38:50 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 2.0000e-03 eta: 4:38:02 time: 0.8497 data_time: 0.0196 memory: 19726 grad_norm: 4.3508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9210 loss: 0.9210 2022/08/09 10:39:07 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 2.0000e-03 eta: 4:37:45 time: 0.8512 data_time: 0.0196 memory: 19726 grad_norm: 4.1235 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8434 loss: 0.8434 2022/08/09 10:39:24 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 2.0000e-03 eta: 4:37:28 time: 0.8556 data_time: 0.0185 memory: 19726 grad_norm: 4.2311 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7469 loss: 0.7469 2022/08/09 10:39:41 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 2.0000e-03 eta: 4:37:11 time: 0.8495 data_time: 0.0185 memory: 19726 grad_norm: 4.2796 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9366 loss: 0.9366 2022/08/09 10:39:58 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 2.0000e-03 eta: 4:36:54 time: 0.8530 data_time: 0.0181 memory: 19726 grad_norm: 4.3260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8360 loss: 0.8360 2022/08/09 10:40:15 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 2.0000e-03 eta: 4:36:37 time: 0.8658 data_time: 0.0219 memory: 19726 grad_norm: 4.2069 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7648 loss: 0.7648 2022/08/09 10:40:33 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 2.0000e-03 eta: 4:36:19 time: 0.8613 data_time: 0.0216 memory: 19726 grad_norm: 4.2802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8623 loss: 0.8623 2022/08/09 10:40:50 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 2.0000e-03 eta: 4:36:02 time: 0.8533 data_time: 0.0184 memory: 19726 grad_norm: 4.2304 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9384 loss: 0.9384 2022/08/09 10:41:07 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 2.0000e-03 eta: 4:35:45 time: 0.8514 data_time: 0.0195 memory: 19726 grad_norm: 4.3409 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8185 loss: 0.8185 2022/08/09 10:41:24 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 2.0000e-03 eta: 4:35:28 time: 0.8507 data_time: 0.0184 memory: 19726 grad_norm: 4.1913 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7489 loss: 0.7489 2022/08/09 10:41:41 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 2.0000e-03 eta: 4:35:11 time: 0.8521 data_time: 0.0179 memory: 19726 grad_norm: 4.1336 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8063 loss: 0.8063 2022/08/09 10:41:58 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 2.0000e-03 eta: 4:34:54 time: 0.8499 data_time: 0.0191 memory: 19726 grad_norm: 4.2937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8239 loss: 0.8239 2022/08/09 10:42:15 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 2.0000e-03 eta: 4:34:36 time: 0.8542 data_time: 0.0190 memory: 19726 grad_norm: 4.1965 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7740 loss: 0.7740 2022/08/09 10:42:32 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 2.0000e-03 eta: 4:34:19 time: 0.8517 data_time: 0.0204 memory: 19726 grad_norm: 4.3104 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7075 loss: 0.7075 2022/08/09 10:42:49 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 2.0000e-03 eta: 4:34:02 time: 0.8542 data_time: 0.0197 memory: 19726 grad_norm: 4.4783 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9044 loss: 0.9044 2022/08/09 10:43:06 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 2.0000e-03 eta: 4:33:45 time: 0.8512 data_time: 0.0197 memory: 19726 grad_norm: 4.2507 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8498 loss: 0.8498 2022/08/09 10:43:23 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 2.0000e-03 eta: 4:33:28 time: 0.8495 data_time: 0.0186 memory: 19726 grad_norm: 4.2174 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9142 loss: 0.9142 2022/08/09 10:43:40 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 2.0000e-03 eta: 4:33:11 time: 0.8533 data_time: 0.0195 memory: 19726 grad_norm: 4.3076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9005 loss: 0.9005 2022/08/09 10:43:57 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 2.0000e-03 eta: 4:32:53 time: 0.8510 data_time: 0.0197 memory: 19726 grad_norm: 4.2829 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7440 loss: 0.7440 2022/08/09 10:44:14 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 2.0000e-03 eta: 4:32:36 time: 0.8559 data_time: 0.0200 memory: 19726 grad_norm: 4.2316 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7754 loss: 0.7754 2022/08/09 10:44:31 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 2.0000e-03 eta: 4:32:19 time: 0.8506 data_time: 0.0201 memory: 19726 grad_norm: 4.1958 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7240 loss: 0.7240 2022/08/09 10:44:49 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 2.0000e-03 eta: 4:32:02 time: 0.8544 data_time: 0.0195 memory: 19726 grad_norm: 4.4670 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8976 loss: 0.8976 2022/08/09 10:45:06 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 2.0000e-03 eta: 4:31:45 time: 0.8552 data_time: 0.0196 memory: 19726 grad_norm: 4.3076 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8255 loss: 0.8255 2022/08/09 10:45:23 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 2.0000e-03 eta: 4:31:28 time: 0.8704 data_time: 0.0248 memory: 19726 grad_norm: 4.2706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7915 loss: 0.7915 2022/08/09 10:45:40 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 2.0000e-03 eta: 4:31:11 time: 0.8520 data_time: 0.0190 memory: 19726 grad_norm: 4.2960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8690 loss: 0.8690 2022/08/09 10:45:57 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 2.0000e-03 eta: 4:30:53 time: 0.8555 data_time: 0.0191 memory: 19726 grad_norm: 4.3789 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8168 loss: 0.8168 2022/08/09 10:46:13 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 10:46:14 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 2.0000e-03 eta: 4:30:36 time: 0.8523 data_time: 0.0184 memory: 19726 grad_norm: 4.2800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9426 loss: 0.9426 2022/08/09 10:46:31 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 2.0000e-03 eta: 4:30:19 time: 0.8501 data_time: 0.0182 memory: 19726 grad_norm: 4.4206 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7339 loss: 0.7339 2022/08/09 10:46:48 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 2.0000e-03 eta: 4:30:02 time: 0.8545 data_time: 0.0192 memory: 19726 grad_norm: 4.3787 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8639 loss: 0.8639 2022/08/09 10:47:06 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 2.0000e-03 eta: 4:29:45 time: 0.8598 data_time: 0.0202 memory: 19726 grad_norm: 4.5185 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9302 loss: 0.9302 2022/08/09 10:47:23 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 2.0000e-03 eta: 4:29:28 time: 0.8523 data_time: 0.0191 memory: 19726 grad_norm: 4.2817 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8181 loss: 0.8181 2022/08/09 10:47:40 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 2.0000e-03 eta: 4:29:11 time: 0.8620 data_time: 0.0181 memory: 19726 grad_norm: 4.2773 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8120 loss: 0.8120 2022/08/09 10:47:57 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 2.0000e-03 eta: 4:28:53 time: 0.8531 data_time: 0.0190 memory: 19726 grad_norm: 4.3539 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8581 loss: 0.8581 2022/08/09 10:48:14 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 2.0000e-03 eta: 4:28:36 time: 0.8532 data_time: 0.0174 memory: 19726 grad_norm: 4.3345 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7622 loss: 0.7622 2022/08/09 10:48:30 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 10:48:30 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 2.0000e-03 eta: 4:28:36 time: 0.8266 data_time: 0.0175 memory: 19726 grad_norm: 4.4051 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8720 loss: 0.8720 2022/08/09 10:48:43 - mmengine - INFO - Epoch(val) [40][20/155] eta: 0:01:32 time: 0.6859 data_time: 0.4449 memory: 2699 2022/08/09 10:48:54 - mmengine - INFO - Epoch(val) [40][40/155] eta: 0:00:58 time: 0.5095 data_time: 0.2698 memory: 2699 2022/08/09 10:49:06 - mmengine - INFO - Epoch(val) [40][60/155] eta: 0:01:00 time: 0.6324 data_time: 0.3928 memory: 2699 2022/08/09 10:49:16 - mmengine - INFO - Epoch(val) [40][80/155] eta: 0:00:37 time: 0.4940 data_time: 0.2541 memory: 2699 2022/08/09 10:49:28 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:33 time: 0.6112 data_time: 0.3696 memory: 2699 2022/08/09 10:49:38 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:16 time: 0.4764 data_time: 0.2372 memory: 2699 2022/08/09 10:49:50 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:08 time: 0.5869 data_time: 0.3486 memory: 2699 2022/08/09 10:49:59 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.7214 acc/top5: 0.9057 acc/mean1: 0.7213 2022/08/09 10:50:22 - mmengine - INFO - Epoch(train) [41][20/1879] lr: 2.0000e-03 eta: 4:28:00 time: 1.1384 data_time: 0.2430 memory: 19726 grad_norm: 4.2676 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7770 loss: 0.7770 2022/08/09 10:50:39 - mmengine - INFO - Epoch(train) [41][40/1879] lr: 2.0000e-03 eta: 4:27:43 time: 0.8485 data_time: 0.0184 memory: 19726 grad_norm: 4.2676 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7945 loss: 0.7945 2022/08/09 10:50:56 - mmengine - INFO - Epoch(train) [41][60/1879] lr: 2.0000e-03 eta: 4:27:26 time: 0.8629 data_time: 0.0256 memory: 19726 grad_norm: 4.2999 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8623 loss: 0.8623 2022/08/09 10:51:13 - mmengine - INFO - Epoch(train) [41][80/1879] lr: 2.0000e-03 eta: 4:27:09 time: 0.8489 data_time: 0.0182 memory: 19726 grad_norm: 4.2037 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7820 loss: 0.7820 2022/08/09 10:51:30 - mmengine - INFO - Epoch(train) [41][100/1879] lr: 2.0000e-03 eta: 4:26:52 time: 0.8491 data_time: 0.0184 memory: 19726 grad_norm: 4.1802 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6739 loss: 0.6739 2022/08/09 10:51:47 - mmengine - INFO - Epoch(train) [41][120/1879] lr: 2.0000e-03 eta: 4:26:34 time: 0.8531 data_time: 0.0198 memory: 19726 grad_norm: 4.1458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8458 loss: 0.8458 2022/08/09 10:52:04 - mmengine - INFO - Epoch(train) [41][140/1879] lr: 2.0000e-03 eta: 4:26:17 time: 0.8638 data_time: 0.0270 memory: 19726 grad_norm: 4.4128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7463 loss: 0.7463 2022/08/09 10:52:21 - mmengine - INFO - Epoch(train) [41][160/1879] lr: 2.0000e-03 eta: 4:26:00 time: 0.8540 data_time: 0.0192 memory: 19726 grad_norm: 4.2168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7583 loss: 0.7583 2022/08/09 10:52:38 - mmengine - INFO - Epoch(train) [41][180/1879] lr: 2.0000e-03 eta: 4:25:43 time: 0.8549 data_time: 0.0185 memory: 19726 grad_norm: 4.2918 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7813 loss: 0.7813 2022/08/09 10:52:55 - mmengine - INFO - Epoch(train) [41][200/1879] lr: 2.0000e-03 eta: 4:25:26 time: 0.8534 data_time: 0.0196 memory: 19726 grad_norm: 4.2584 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8124 loss: 0.8124 2022/08/09 10:53:13 - mmengine - INFO - Epoch(train) [41][220/1879] lr: 2.0000e-03 eta: 4:25:09 time: 0.8513 data_time: 0.0185 memory: 19726 grad_norm: 4.2978 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8625 loss: 0.8625 2022/08/09 10:53:30 - mmengine - INFO - Epoch(train) [41][240/1879] lr: 2.0000e-03 eta: 4:24:52 time: 0.8568 data_time: 0.0192 memory: 19726 grad_norm: 4.3835 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8065 loss: 0.8065 2022/08/09 10:53:47 - mmengine - INFO - Epoch(train) [41][260/1879] lr: 2.0000e-03 eta: 4:24:34 time: 0.8523 data_time: 0.0199 memory: 19726 grad_norm: 4.1888 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7747 loss: 0.7747 2022/08/09 10:54:04 - mmengine - INFO - Epoch(train) [41][280/1879] lr: 2.0000e-03 eta: 4:24:17 time: 0.8568 data_time: 0.0210 memory: 19726 grad_norm: 4.0562 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7221 loss: 0.7221 2022/08/09 10:54:21 - mmengine - INFO - Epoch(train) [41][300/1879] lr: 2.0000e-03 eta: 4:24:00 time: 0.8526 data_time: 0.0189 memory: 19726 grad_norm: 4.3245 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8626 loss: 0.8626 2022/08/09 10:54:38 - mmengine - INFO - Epoch(train) [41][320/1879] lr: 2.0000e-03 eta: 4:23:43 time: 0.8552 data_time: 0.0189 memory: 19726 grad_norm: 4.2723 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8047 loss: 0.8047 2022/08/09 10:54:55 - mmengine - INFO - Epoch(train) [41][340/1879] lr: 2.0000e-03 eta: 4:23:26 time: 0.8542 data_time: 0.0199 memory: 19726 grad_norm: 4.1655 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7049 loss: 0.7049 2022/08/09 10:55:12 - mmengine - INFO - Epoch(train) [41][360/1879] lr: 2.0000e-03 eta: 4:23:09 time: 0.8610 data_time: 0.0211 memory: 19726 grad_norm: 4.1792 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8404 loss: 0.8404 2022/08/09 10:55:29 - mmengine - INFO - Epoch(train) [41][380/1879] lr: 2.0000e-03 eta: 4:22:52 time: 0.8538 data_time: 0.0194 memory: 19726 grad_norm: 4.2739 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6872 loss: 0.6872 2022/08/09 10:55:47 - mmengine - INFO - Epoch(train) [41][400/1879] lr: 2.0000e-03 eta: 4:22:34 time: 0.8538 data_time: 0.0193 memory: 19726 grad_norm: 4.1448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7510 loss: 0.7510 2022/08/09 10:56:04 - mmengine - INFO - Epoch(train) [41][420/1879] lr: 2.0000e-03 eta: 4:22:17 time: 0.8514 data_time: 0.0200 memory: 19726 grad_norm: 4.1753 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7357 loss: 0.7357 2022/08/09 10:56:21 - mmengine - INFO - Epoch(train) [41][440/1879] lr: 2.0000e-03 eta: 4:22:00 time: 0.8538 data_time: 0.0193 memory: 19726 grad_norm: 4.2205 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8109 loss: 0.8109 2022/08/09 10:56:38 - mmengine - INFO - Epoch(train) [41][460/1879] lr: 2.0000e-03 eta: 4:21:43 time: 0.8516 data_time: 0.0196 memory: 19726 grad_norm: 4.2372 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7612 loss: 0.7612 2022/08/09 10:56:55 - mmengine - INFO - Epoch(train) [41][480/1879] lr: 2.0000e-03 eta: 4:21:26 time: 0.8542 data_time: 0.0188 memory: 19726 grad_norm: 4.2359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7960 loss: 0.7960 2022/08/09 10:57:12 - mmengine - INFO - Epoch(train) [41][500/1879] lr: 2.0000e-03 eta: 4:21:09 time: 0.8539 data_time: 0.0254 memory: 19726 grad_norm: 4.3467 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8062 loss: 0.8062 2022/08/09 10:57:29 - mmengine - INFO - Epoch(train) [41][520/1879] lr: 2.0000e-03 eta: 4:20:52 time: 0.8598 data_time: 0.0240 memory: 19726 grad_norm: 4.1657 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8566 loss: 0.8566 2022/08/09 10:57:47 - mmengine - INFO - Epoch(train) [41][540/1879] lr: 2.0000e-03 eta: 4:20:34 time: 0.8665 data_time: 0.0291 memory: 19726 grad_norm: 4.3359 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8484 loss: 0.8484 2022/08/09 10:58:04 - mmengine - INFO - Epoch(train) [41][560/1879] lr: 2.0000e-03 eta: 4:20:17 time: 0.8562 data_time: 0.0259 memory: 19726 grad_norm: 4.2038 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/09 10:58:21 - mmengine - INFO - Epoch(train) [41][580/1879] lr: 2.0000e-03 eta: 4:20:00 time: 0.8525 data_time: 0.0199 memory: 19726 grad_norm: 4.0995 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7786 loss: 0.7786 2022/08/09 10:58:38 - mmengine - INFO - Epoch(train) [41][600/1879] lr: 2.0000e-03 eta: 4:19:43 time: 0.8535 data_time: 0.0194 memory: 19726 grad_norm: 4.3311 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9401 loss: 0.9401 2022/08/09 10:58:55 - mmengine - INFO - Epoch(train) [41][620/1879] lr: 2.0000e-03 eta: 4:19:26 time: 0.8479 data_time: 0.0186 memory: 19726 grad_norm: 4.3719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8817 loss: 0.8817 2022/08/09 10:59:12 - mmengine - INFO - Epoch(train) [41][640/1879] lr: 2.0000e-03 eta: 4:19:09 time: 0.8522 data_time: 0.0194 memory: 19726 grad_norm: 4.0884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9244 loss: 0.9244 2022/08/09 10:59:29 - mmengine - INFO - Epoch(train) [41][660/1879] lr: 2.0000e-03 eta: 4:18:52 time: 0.8536 data_time: 0.0214 memory: 19726 grad_norm: 4.2214 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9067 loss: 0.9067 2022/08/09 10:59:46 - mmengine - INFO - Epoch(train) [41][680/1879] lr: 2.0000e-03 eta: 4:18:34 time: 0.8600 data_time: 0.0222 memory: 19726 grad_norm: 4.4548 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8856 loss: 0.8856 2022/08/09 11:00:03 - mmengine - INFO - Epoch(train) [41][700/1879] lr: 2.0000e-03 eta: 4:18:17 time: 0.8504 data_time: 0.0187 memory: 19726 grad_norm: 4.3856 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7529 loss: 0.7529 2022/08/09 11:00:20 - mmengine - INFO - Epoch(train) [41][720/1879] lr: 2.0000e-03 eta: 4:18:00 time: 0.8617 data_time: 0.0203 memory: 19726 grad_norm: 4.2653 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6987 loss: 0.6987 2022/08/09 11:00:37 - mmengine - INFO - Epoch(train) [41][740/1879] lr: 2.0000e-03 eta: 4:17:43 time: 0.8552 data_time: 0.0199 memory: 19726 grad_norm: 4.2242 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7587 loss: 0.7587 2022/08/09 11:00:55 - mmengine - INFO - Epoch(train) [41][760/1879] lr: 2.0000e-03 eta: 4:17:26 time: 0.8588 data_time: 0.0251 memory: 19726 grad_norm: 4.3147 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7831 loss: 0.7831 2022/08/09 11:01:12 - mmengine - INFO - Epoch(train) [41][780/1879] lr: 2.0000e-03 eta: 4:17:09 time: 0.8539 data_time: 0.0201 memory: 19726 grad_norm: 4.2732 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7751 loss: 0.7751 2022/08/09 11:01:29 - mmengine - INFO - Epoch(train) [41][800/1879] lr: 2.0000e-03 eta: 4:16:52 time: 0.8572 data_time: 0.0198 memory: 19726 grad_norm: 4.2242 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/08/09 11:01:46 - mmengine - INFO - Epoch(train) [41][820/1879] lr: 2.0000e-03 eta: 4:16:34 time: 0.8608 data_time: 0.0179 memory: 19726 grad_norm: 4.3343 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8006 loss: 0.8006 2022/08/09 11:02:03 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 11:02:03 - mmengine - INFO - Epoch(train) [41][840/1879] lr: 2.0000e-03 eta: 4:16:17 time: 0.8514 data_time: 0.0189 memory: 19726 grad_norm: 4.3306 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7855 loss: 0.7855 2022/08/09 11:02:20 - mmengine - INFO - Epoch(train) [41][860/1879] lr: 2.0000e-03 eta: 4:16:00 time: 0.8496 data_time: 0.0188 memory: 19726 grad_norm: 4.4609 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8796 loss: 0.8796 2022/08/09 11:02:37 - mmengine - INFO - Epoch(train) [41][880/1879] lr: 2.0000e-03 eta: 4:15:43 time: 0.8592 data_time: 0.0238 memory: 19726 grad_norm: 4.3166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7442 loss: 0.7442 2022/08/09 11:02:54 - mmengine - INFO - Epoch(train) [41][900/1879] lr: 2.0000e-03 eta: 4:15:26 time: 0.8626 data_time: 0.0264 memory: 19726 grad_norm: 4.2951 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8657 loss: 0.8657 2022/08/09 11:03:12 - mmengine - INFO - Epoch(train) [41][920/1879] lr: 2.0000e-03 eta: 4:15:09 time: 0.8547 data_time: 0.0192 memory: 19726 grad_norm: 4.2756 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8863 loss: 0.8863 2022/08/09 11:03:29 - mmengine - INFO - Epoch(train) [41][940/1879] lr: 2.0000e-03 eta: 4:14:52 time: 0.8526 data_time: 0.0196 memory: 19726 grad_norm: 4.2708 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8915 loss: 0.8915 2022/08/09 11:03:46 - mmengine - INFO - Epoch(train) [41][960/1879] lr: 2.0000e-03 eta: 4:14:34 time: 0.8513 data_time: 0.0184 memory: 19726 grad_norm: 4.3633 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8252 loss: 0.8252 2022/08/09 11:04:03 - mmengine - INFO - Epoch(train) [41][980/1879] lr: 2.0000e-03 eta: 4:14:17 time: 0.8508 data_time: 0.0186 memory: 19726 grad_norm: 4.3691 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6950 loss: 0.6950 2022/08/09 11:04:20 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 2.0000e-03 eta: 4:14:00 time: 0.8531 data_time: 0.0187 memory: 19726 grad_norm: 4.3799 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/08/09 11:04:37 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 2.0000e-03 eta: 4:13:43 time: 0.8541 data_time: 0.0223 memory: 19726 grad_norm: 4.4956 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0159 loss: 1.0159 2022/08/09 11:04:54 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 2.0000e-03 eta: 4:13:26 time: 0.8507 data_time: 0.0189 memory: 19726 grad_norm: 4.2343 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7684 loss: 0.7684 2022/08/09 11:05:11 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 2.0000e-03 eta: 4:13:09 time: 0.8579 data_time: 0.0191 memory: 19726 grad_norm: 4.2788 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8608 loss: 0.8608 2022/08/09 11:05:28 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 2.0000e-03 eta: 4:12:52 time: 0.8596 data_time: 0.0224 memory: 19726 grad_norm: 4.2700 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7631 loss: 0.7631 2022/08/09 11:05:45 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 2.0000e-03 eta: 4:12:34 time: 0.8507 data_time: 0.0188 memory: 19726 grad_norm: 4.3701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7906 loss: 0.7906 2022/08/09 11:06:02 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 2.0000e-03 eta: 4:12:17 time: 0.8564 data_time: 0.0192 memory: 19726 grad_norm: 4.2885 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8900 loss: 0.8900 2022/08/09 11:06:19 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 2.0000e-03 eta: 4:12:00 time: 0.8527 data_time: 0.0206 memory: 19726 grad_norm: 4.3593 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9088 loss: 0.9088 2022/08/09 11:06:37 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 2.0000e-03 eta: 4:11:43 time: 0.8540 data_time: 0.0200 memory: 19726 grad_norm: 4.4217 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8116 loss: 0.8116 2022/08/09 11:06:54 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 2.0000e-03 eta: 4:11:26 time: 0.8539 data_time: 0.0192 memory: 19726 grad_norm: 4.3327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8398 loss: 0.8398 2022/08/09 11:07:11 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 2.0000e-03 eta: 4:11:09 time: 0.8539 data_time: 0.0191 memory: 19726 grad_norm: 4.3071 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8882 loss: 0.8882 2022/08/09 11:07:28 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 2.0000e-03 eta: 4:10:52 time: 0.8539 data_time: 0.0203 memory: 19726 grad_norm: 4.3176 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6936 loss: 0.6936 2022/08/09 11:07:45 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 2.0000e-03 eta: 4:10:34 time: 0.8529 data_time: 0.0187 memory: 19726 grad_norm: 4.2481 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9061 loss: 0.9061 2022/08/09 11:08:02 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 2.0000e-03 eta: 4:10:17 time: 0.8541 data_time: 0.0193 memory: 19726 grad_norm: 4.2466 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7254 loss: 0.7254 2022/08/09 11:08:19 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 2.0000e-03 eta: 4:10:00 time: 0.8567 data_time: 0.0194 memory: 19726 grad_norm: 4.4920 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8822 loss: 0.8822 2022/08/09 11:08:36 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 2.0000e-03 eta: 4:09:43 time: 0.8516 data_time: 0.0197 memory: 19726 grad_norm: 4.2849 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7898 loss: 0.7898 2022/08/09 11:08:53 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 2.0000e-03 eta: 4:09:26 time: 0.8606 data_time: 0.0265 memory: 19726 grad_norm: 4.2481 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8258 loss: 0.8258 2022/08/09 11:09:10 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 2.0000e-03 eta: 4:09:09 time: 0.8510 data_time: 0.0198 memory: 19726 grad_norm: 4.2559 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7482 loss: 0.7482 2022/08/09 11:09:28 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 2.0000e-03 eta: 4:08:52 time: 0.8544 data_time: 0.0189 memory: 19726 grad_norm: 4.3514 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7162 loss: 0.7162 2022/08/09 11:09:45 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 2.0000e-03 eta: 4:08:34 time: 0.8525 data_time: 0.0191 memory: 19726 grad_norm: 4.1391 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8371 loss: 0.8371 2022/08/09 11:10:02 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 2.0000e-03 eta: 4:08:17 time: 0.8508 data_time: 0.0190 memory: 19726 grad_norm: 4.2747 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8980 loss: 0.8980 2022/08/09 11:10:19 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 2.0000e-03 eta: 4:08:00 time: 0.8659 data_time: 0.0233 memory: 19726 grad_norm: 4.3705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8159 loss: 0.8159 2022/08/09 11:10:36 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 2.0000e-03 eta: 4:07:43 time: 0.8588 data_time: 0.0198 memory: 19726 grad_norm: 4.4120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7690 loss: 0.7690 2022/08/09 11:10:53 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 2.0000e-03 eta: 4:07:26 time: 0.8515 data_time: 0.0193 memory: 19726 grad_norm: 4.3236 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9164 loss: 0.9164 2022/08/09 11:11:10 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 2.0000e-03 eta: 4:07:09 time: 0.8548 data_time: 0.0185 memory: 19726 grad_norm: 4.4147 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9069 loss: 0.9069 2022/08/09 11:11:27 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 2.0000e-03 eta: 4:06:52 time: 0.8512 data_time: 0.0199 memory: 19726 grad_norm: 4.4041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9078 loss: 0.9078 2022/08/09 11:11:44 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 2.0000e-03 eta: 4:06:34 time: 0.8602 data_time: 0.0211 memory: 19726 grad_norm: 4.2695 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7231 loss: 0.7231 2022/08/09 11:12:02 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 2.0000e-03 eta: 4:06:17 time: 0.8514 data_time: 0.0202 memory: 19726 grad_norm: 4.2033 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7048 loss: 0.7048 2022/08/09 11:12:19 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 2.0000e-03 eta: 4:06:00 time: 0.8592 data_time: 0.0195 memory: 19726 grad_norm: 4.3896 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8936 loss: 0.8936 2022/08/09 11:12:36 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 2.0000e-03 eta: 4:05:43 time: 0.8492 data_time: 0.0186 memory: 19726 grad_norm: 4.1617 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9362 loss: 0.9362 2022/08/09 11:12:53 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 2.0000e-03 eta: 4:05:26 time: 0.8524 data_time: 0.0193 memory: 19726 grad_norm: 4.4174 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8726 loss: 0.8726 2022/08/09 11:13:10 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 2.0000e-03 eta: 4:05:09 time: 0.8566 data_time: 0.0202 memory: 19726 grad_norm: 4.4938 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8532 loss: 0.8532 2022/08/09 11:13:27 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 2.0000e-03 eta: 4:04:52 time: 0.8514 data_time: 0.0200 memory: 19726 grad_norm: 4.1741 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7784 loss: 0.7784 2022/08/09 11:13:44 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 2.0000e-03 eta: 4:04:34 time: 0.8511 data_time: 0.0190 memory: 19726 grad_norm: 4.3615 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8899 loss: 0.8899 2022/08/09 11:14:01 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 2.0000e-03 eta: 4:04:17 time: 0.8512 data_time: 0.0188 memory: 19726 grad_norm: 4.2584 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8685 loss: 0.8685 2022/08/09 11:14:18 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 2.0000e-03 eta: 4:04:00 time: 0.8555 data_time: 0.0205 memory: 19726 grad_norm: 4.3997 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9804 loss: 0.9804 2022/08/09 11:14:35 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 2.0000e-03 eta: 4:03:43 time: 0.8528 data_time: 0.0195 memory: 19726 grad_norm: 4.3932 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7886 loss: 0.7886 2022/08/09 11:14:52 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 2.0000e-03 eta: 4:03:26 time: 0.8535 data_time: 0.0197 memory: 19726 grad_norm: 4.5510 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9061 loss: 0.9061 2022/08/09 11:15:09 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 2.0000e-03 eta: 4:03:09 time: 0.8547 data_time: 0.0207 memory: 19726 grad_norm: 4.2291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7882 loss: 0.7882 2022/08/09 11:15:26 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 2.0000e-03 eta: 4:02:52 time: 0.8541 data_time: 0.0193 memory: 19726 grad_norm: 4.2373 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7674 loss: 0.7674 2022/08/09 11:15:43 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 2.0000e-03 eta: 4:02:34 time: 0.8514 data_time: 0.0191 memory: 19726 grad_norm: 4.4157 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7775 loss: 0.7775 2022/08/09 11:16:01 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 2.0000e-03 eta: 4:02:17 time: 0.8530 data_time: 0.0181 memory: 19726 grad_norm: 4.3529 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8732 loss: 0.8732 2022/08/09 11:16:18 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 11:16:18 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 2.0000e-03 eta: 4:02:00 time: 0.8519 data_time: 0.0180 memory: 19726 grad_norm: 4.3958 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8447 loss: 0.8447 2022/08/09 11:16:35 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 2.0000e-03 eta: 4:01:43 time: 0.8534 data_time: 0.0170 memory: 19726 grad_norm: 4.3695 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8910 loss: 0.8910 2022/08/09 11:16:50 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 11:16:51 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 2.0000e-03 eta: 4:01:43 time: 0.8297 data_time: 0.0170 memory: 19726 grad_norm: 4.3150 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.9325 loss: 0.9325 2022/08/09 11:17:04 - mmengine - INFO - Epoch(val) [41][20/155] eta: 0:01:32 time: 0.6875 data_time: 0.4475 memory: 2699 2022/08/09 11:17:15 - mmengine - INFO - Epoch(val) [41][40/155] eta: 0:01:03 time: 0.5489 data_time: 0.3089 memory: 2699 2022/08/09 11:17:26 - mmengine - INFO - Epoch(val) [41][60/155] eta: 0:00:51 time: 0.5457 data_time: 0.3065 memory: 2699 2022/08/09 11:17:37 - mmengine - INFO - Epoch(val) [41][80/155] eta: 0:00:40 time: 0.5444 data_time: 0.3059 memory: 2699 2022/08/09 11:17:49 - mmengine - INFO - Epoch(val) [41][100/155] eta: 0:00:31 time: 0.5717 data_time: 0.3331 memory: 2699 2022/08/09 11:18:00 - mmengine - INFO - Epoch(val) [41][120/155] eta: 0:00:19 time: 0.5465 data_time: 0.3070 memory: 2699 2022/08/09 11:18:10 - mmengine - INFO - Epoch(val) [41][140/155] eta: 0:00:07 time: 0.5186 data_time: 0.2801 memory: 2699 2022/08/09 11:18:26 - mmengine - INFO - Epoch(val) [41][155/155] acc/top1: 0.7185 acc/top5: 0.9036 acc/mean1: 0.7185 2022/08/09 11:18:48 - mmengine - INFO - Epoch(train) [42][20/1879] lr: 2.0000e-03 eta: 4:01:07 time: 1.1133 data_time: 0.2681 memory: 19726 grad_norm: 4.1546 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9192 loss: 0.9192 2022/08/09 11:19:05 - mmengine - INFO - Epoch(train) [42][40/1879] lr: 2.0000e-03 eta: 4:00:50 time: 0.8462 data_time: 0.0155 memory: 19726 grad_norm: 4.3296 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8111 loss: 0.8111 2022/08/09 11:19:22 - mmengine - INFO - Epoch(train) [42][60/1879] lr: 2.0000e-03 eta: 4:00:33 time: 0.8491 data_time: 0.0181 memory: 19726 grad_norm: 4.2483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6986 loss: 0.6986 2022/08/09 11:19:39 - mmengine - INFO - Epoch(train) [42][80/1879] lr: 2.0000e-03 eta: 4:00:16 time: 0.8509 data_time: 0.0192 memory: 19726 grad_norm: 4.2291 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7982 loss: 0.7982 2022/08/09 11:19:56 - mmengine - INFO - Epoch(train) [42][100/1879] lr: 2.0000e-03 eta: 3:59:58 time: 0.8548 data_time: 0.0189 memory: 19726 grad_norm: 4.2274 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6902 loss: 0.6902 2022/08/09 11:20:13 - mmengine - INFO - Epoch(train) [42][120/1879] lr: 2.0000e-03 eta: 3:59:41 time: 0.8531 data_time: 0.0204 memory: 19726 grad_norm: 4.1188 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7807 loss: 0.7807 2022/08/09 11:20:31 - mmengine - INFO - Epoch(train) [42][140/1879] lr: 2.0000e-03 eta: 3:59:24 time: 0.8546 data_time: 0.0174 memory: 19726 grad_norm: 4.3034 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7966 loss: 0.7966 2022/08/09 11:20:48 - mmengine - INFO - Epoch(train) [42][160/1879] lr: 2.0000e-03 eta: 3:59:07 time: 0.8546 data_time: 0.0184 memory: 19726 grad_norm: 4.4013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8026 loss: 0.8026 2022/08/09 11:21:05 - mmengine - INFO - Epoch(train) [42][180/1879] lr: 2.0000e-03 eta: 3:58:50 time: 0.8537 data_time: 0.0212 memory: 19726 grad_norm: 4.3225 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7944 loss: 0.7944 2022/08/09 11:21:22 - mmengine - INFO - Epoch(train) [42][200/1879] lr: 2.0000e-03 eta: 3:58:33 time: 0.8523 data_time: 0.0192 memory: 19726 grad_norm: 4.2612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7502 loss: 0.7502 2022/08/09 11:21:39 - mmengine - INFO - Epoch(train) [42][220/1879] lr: 2.0000e-03 eta: 3:58:16 time: 0.8591 data_time: 0.0214 memory: 19726 grad_norm: 4.1681 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6887 loss: 0.6887 2022/08/09 11:21:56 - mmengine - INFO - Epoch(train) [42][240/1879] lr: 2.0000e-03 eta: 3:57:58 time: 0.8512 data_time: 0.0182 memory: 19726 grad_norm: 4.2754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7736 loss: 0.7736 2022/08/09 11:22:13 - mmengine - INFO - Epoch(train) [42][260/1879] lr: 2.0000e-03 eta: 3:57:41 time: 0.8584 data_time: 0.0212 memory: 19726 grad_norm: 4.2259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7262 loss: 0.7262 2022/08/09 11:22:30 - mmengine - INFO - Epoch(train) [42][280/1879] lr: 2.0000e-03 eta: 3:57:24 time: 0.8537 data_time: 0.0210 memory: 19726 grad_norm: 4.2979 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9886 loss: 0.9886 2022/08/09 11:22:47 - mmengine - INFO - Epoch(train) [42][300/1879] lr: 2.0000e-03 eta: 3:57:07 time: 0.8580 data_time: 0.0189 memory: 19726 grad_norm: 4.3800 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7703 loss: 0.7703 2022/08/09 11:23:04 - mmengine - INFO - Epoch(train) [42][320/1879] lr: 2.0000e-03 eta: 3:56:50 time: 0.8508 data_time: 0.0197 memory: 19726 grad_norm: 4.2922 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8218 loss: 0.8218 2022/08/09 11:23:22 - mmengine - INFO - Epoch(train) [42][340/1879] lr: 2.0000e-03 eta: 3:56:33 time: 0.8563 data_time: 0.0198 memory: 19726 grad_norm: 4.2641 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8769 loss: 0.8769 2022/08/09 11:23:39 - mmengine - INFO - Epoch(train) [42][360/1879] lr: 2.0000e-03 eta: 3:56:16 time: 0.8512 data_time: 0.0197 memory: 19726 grad_norm: 4.3077 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9629 loss: 0.9629 2022/08/09 11:23:56 - mmengine - INFO - Epoch(train) [42][380/1879] lr: 2.0000e-03 eta: 3:55:58 time: 0.8538 data_time: 0.0190 memory: 19726 grad_norm: 4.3142 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8626 loss: 0.8626 2022/08/09 11:24:13 - mmengine - INFO - Epoch(train) [42][400/1879] lr: 2.0000e-03 eta: 3:55:41 time: 0.8531 data_time: 0.0190 memory: 19726 grad_norm: 4.4031 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8733 loss: 0.8733 2022/08/09 11:24:30 - mmengine - INFO - Epoch(train) [42][420/1879] lr: 2.0000e-03 eta: 3:55:24 time: 0.8545 data_time: 0.0194 memory: 19726 grad_norm: 4.2856 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9206 loss: 0.9206 2022/08/09 11:24:47 - mmengine - INFO - Epoch(train) [42][440/1879] lr: 2.0000e-03 eta: 3:55:07 time: 0.8482 data_time: 0.0186 memory: 19726 grad_norm: 4.2101 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7789 loss: 0.7789 2022/08/09 11:25:04 - mmengine - INFO - Epoch(train) [42][460/1879] lr: 2.0000e-03 eta: 3:54:50 time: 0.8533 data_time: 0.0204 memory: 19726 grad_norm: 4.2912 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9251 loss: 0.9251 2022/08/09 11:25:21 - mmengine - INFO - Epoch(train) [42][480/1879] lr: 2.0000e-03 eta: 3:54:33 time: 0.8664 data_time: 0.0268 memory: 19726 grad_norm: 4.3533 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7346 loss: 0.7346 2022/08/09 11:25:38 - mmengine - INFO - Epoch(train) [42][500/1879] lr: 2.0000e-03 eta: 3:54:16 time: 0.8538 data_time: 0.0197 memory: 19726 grad_norm: 4.2669 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9044 loss: 0.9044 2022/08/09 11:25:55 - mmengine - INFO - Epoch(train) [42][520/1879] lr: 2.0000e-03 eta: 3:53:59 time: 0.8565 data_time: 0.0266 memory: 19726 grad_norm: 4.2937 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8717 loss: 0.8717 2022/08/09 11:26:13 - mmengine - INFO - Epoch(train) [42][540/1879] lr: 2.0000e-03 eta: 3:53:41 time: 0.8579 data_time: 0.0189 memory: 19726 grad_norm: 4.2794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9080 loss: 0.9080 2022/08/09 11:26:30 - mmengine - INFO - Epoch(train) [42][560/1879] lr: 2.0000e-03 eta: 3:53:24 time: 0.8534 data_time: 0.0203 memory: 19726 grad_norm: 4.3390 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7865 loss: 0.7865 2022/08/09 11:26:47 - mmengine - INFO - Epoch(train) [42][580/1879] lr: 2.0000e-03 eta: 3:53:07 time: 0.8538 data_time: 0.0188 memory: 19726 grad_norm: 4.2937 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6220 loss: 0.6220 2022/08/09 11:27:04 - mmengine - INFO - Epoch(train) [42][600/1879] lr: 2.0000e-03 eta: 3:52:50 time: 0.8525 data_time: 0.0197 memory: 19726 grad_norm: 4.2487 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7606 loss: 0.7606 2022/08/09 11:27:21 - mmengine - INFO - Epoch(train) [42][620/1879] lr: 2.0000e-03 eta: 3:52:33 time: 0.8560 data_time: 0.0197 memory: 19726 grad_norm: 4.3278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7394 loss: 0.7394 2022/08/09 11:27:38 - mmengine - INFO - Epoch(train) [42][640/1879] lr: 2.0000e-03 eta: 3:52:16 time: 0.8498 data_time: 0.0191 memory: 19726 grad_norm: 4.2867 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8424 loss: 0.8424 2022/08/09 11:27:55 - mmengine - INFO - Epoch(train) [42][660/1879] lr: 2.0000e-03 eta: 3:51:59 time: 0.8512 data_time: 0.0196 memory: 19726 grad_norm: 4.2761 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6208 loss: 0.6208 2022/08/09 11:28:12 - mmengine - INFO - Epoch(train) [42][680/1879] lr: 2.0000e-03 eta: 3:51:41 time: 0.8533 data_time: 0.0188 memory: 19726 grad_norm: 4.2754 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9574 loss: 0.9574 2022/08/09 11:28:29 - mmengine - INFO - Epoch(train) [42][700/1879] lr: 2.0000e-03 eta: 3:51:24 time: 0.8507 data_time: 0.0194 memory: 19726 grad_norm: 4.1986 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7340 loss: 0.7340 2022/08/09 11:28:46 - mmengine - INFO - Epoch(train) [42][720/1879] lr: 2.0000e-03 eta: 3:51:07 time: 0.8501 data_time: 0.0186 memory: 19726 grad_norm: 4.2304 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8575 loss: 0.8575 2022/08/09 11:29:03 - mmengine - INFO - Epoch(train) [42][740/1879] lr: 2.0000e-03 eta: 3:50:50 time: 0.8590 data_time: 0.0197 memory: 19726 grad_norm: 4.4359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9245 loss: 0.9245 2022/08/09 11:29:21 - mmengine - INFO - Epoch(train) [42][760/1879] lr: 2.0000e-03 eta: 3:50:33 time: 0.8642 data_time: 0.0278 memory: 19726 grad_norm: 4.4765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8639 loss: 0.8639 2022/08/09 11:29:38 - mmengine - INFO - Epoch(train) [42][780/1879] lr: 2.0000e-03 eta: 3:50:16 time: 0.8567 data_time: 0.0177 memory: 19726 grad_norm: 4.3391 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7974 loss: 0.7974 2022/08/09 11:29:55 - mmengine - INFO - Epoch(train) [42][800/1879] lr: 2.0000e-03 eta: 3:49:59 time: 0.8634 data_time: 0.0198 memory: 19726 grad_norm: 4.3159 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7632 loss: 0.7632 2022/08/09 11:30:12 - mmengine - INFO - Epoch(train) [42][820/1879] lr: 2.0000e-03 eta: 3:49:42 time: 0.8601 data_time: 0.0204 memory: 19726 grad_norm: 4.4163 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8221 loss: 0.8221 2022/08/09 11:30:29 - mmengine - INFO - Epoch(train) [42][840/1879] lr: 2.0000e-03 eta: 3:49:24 time: 0.8598 data_time: 0.0203 memory: 19726 grad_norm: 4.3871 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8313 loss: 0.8313 2022/08/09 11:30:47 - mmengine - INFO - Epoch(train) [42][860/1879] lr: 2.0000e-03 eta: 3:49:07 time: 0.8596 data_time: 0.0183 memory: 19726 grad_norm: 4.4159 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8851 loss: 0.8851 2022/08/09 11:31:04 - mmengine - INFO - Epoch(train) [42][880/1879] lr: 2.0000e-03 eta: 3:48:50 time: 0.8567 data_time: 0.0199 memory: 19726 grad_norm: 4.3696 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7707 loss: 0.7707 2022/08/09 11:31:21 - mmengine - INFO - Epoch(train) [42][900/1879] lr: 2.0000e-03 eta: 3:48:33 time: 0.8580 data_time: 0.0192 memory: 19726 grad_norm: 4.4384 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7874 loss: 0.7874 2022/08/09 11:31:38 - mmengine - INFO - Epoch(train) [42][920/1879] lr: 2.0000e-03 eta: 3:48:16 time: 0.8532 data_time: 0.0190 memory: 19726 grad_norm: 4.4147 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6758 loss: 0.6758 2022/08/09 11:31:55 - mmengine - INFO - Epoch(train) [42][940/1879] lr: 2.0000e-03 eta: 3:47:59 time: 0.8505 data_time: 0.0196 memory: 19726 grad_norm: 4.4100 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6915 loss: 0.6915 2022/08/09 11:32:12 - mmengine - INFO - Epoch(train) [42][960/1879] lr: 2.0000e-03 eta: 3:47:42 time: 0.8524 data_time: 0.0188 memory: 19726 grad_norm: 4.3402 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7943 loss: 0.7943 2022/08/09 11:32:13 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 11:32:29 - mmengine - INFO - Epoch(train) [42][980/1879] lr: 2.0000e-03 eta: 3:47:24 time: 0.8546 data_time: 0.0196 memory: 19726 grad_norm: 4.1581 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7198 loss: 0.7198 2022/08/09 11:32:46 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 2.0000e-03 eta: 3:47:07 time: 0.8502 data_time: 0.0191 memory: 19726 grad_norm: 4.3089 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8188 loss: 0.8188 2022/08/09 11:33:03 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 2.0000e-03 eta: 3:46:50 time: 0.8591 data_time: 0.0196 memory: 19726 grad_norm: 4.5053 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9221 loss: 0.9221 2022/08/09 11:33:20 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 2.0000e-03 eta: 3:46:33 time: 0.8500 data_time: 0.0192 memory: 19726 grad_norm: 4.3929 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0212 loss: 1.0212 2022/08/09 11:33:37 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 2.0000e-03 eta: 3:46:16 time: 0.8510 data_time: 0.0193 memory: 19726 grad_norm: 4.3672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7497 loss: 0.7497 2022/08/09 11:33:55 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 2.0000e-03 eta: 3:45:59 time: 0.8581 data_time: 0.0202 memory: 19726 grad_norm: 4.3745 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8899 loss: 0.8899 2022/08/09 11:34:12 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 2.0000e-03 eta: 3:45:42 time: 0.8552 data_time: 0.0198 memory: 19726 grad_norm: 4.3484 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7685 loss: 0.7685 2022/08/09 11:34:29 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 2.0000e-03 eta: 3:45:24 time: 0.8506 data_time: 0.0185 memory: 19726 grad_norm: 4.4233 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8544 loss: 0.8544 2022/08/09 11:34:46 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 2.0000e-03 eta: 3:45:07 time: 0.8514 data_time: 0.0194 memory: 19726 grad_norm: 4.4764 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8386 loss: 0.8386 2022/08/09 11:35:03 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 2.0000e-03 eta: 3:44:50 time: 0.8592 data_time: 0.0191 memory: 19726 grad_norm: 4.4216 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8641 loss: 0.8641 2022/08/09 11:35:20 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 2.0000e-03 eta: 3:44:33 time: 0.8671 data_time: 0.0270 memory: 19726 grad_norm: 4.4406 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8766 loss: 0.8766 2022/08/09 11:35:37 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 2.0000e-03 eta: 3:44:16 time: 0.8544 data_time: 0.0255 memory: 19726 grad_norm: 4.3124 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8258 loss: 0.8258 2022/08/09 11:35:54 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 2.0000e-03 eta: 3:43:59 time: 0.8490 data_time: 0.0188 memory: 19726 grad_norm: 4.4219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7727 loss: 0.7727 2022/08/09 11:36:11 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 2.0000e-03 eta: 3:43:42 time: 0.8537 data_time: 0.0207 memory: 19726 grad_norm: 4.2112 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9206 loss: 0.9206 2022/08/09 11:36:29 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 2.0000e-03 eta: 3:43:25 time: 0.8545 data_time: 0.0198 memory: 19726 grad_norm: 4.3873 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9222 loss: 0.9222 2022/08/09 11:36:46 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 2.0000e-03 eta: 3:43:07 time: 0.8525 data_time: 0.0198 memory: 19726 grad_norm: 4.2821 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8224 loss: 0.8224 2022/08/09 11:37:03 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 2.0000e-03 eta: 3:42:50 time: 0.8549 data_time: 0.0196 memory: 19726 grad_norm: 4.3970 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8956 loss: 0.8956 2022/08/09 11:37:20 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 2.0000e-03 eta: 3:42:33 time: 0.8515 data_time: 0.0198 memory: 19726 grad_norm: 4.3145 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6914 loss: 0.6914 2022/08/09 11:37:37 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 2.0000e-03 eta: 3:42:16 time: 0.8520 data_time: 0.0186 memory: 19726 grad_norm: 4.3145 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8726 loss: 0.8726 2022/08/09 11:37:54 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 2.0000e-03 eta: 3:41:59 time: 0.8589 data_time: 0.0199 memory: 19726 grad_norm: 4.3673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7944 loss: 0.7944 2022/08/09 11:38:11 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 2.0000e-03 eta: 3:41:42 time: 0.8504 data_time: 0.0202 memory: 19726 grad_norm: 4.2004 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8385 loss: 0.8385 2022/08/09 11:38:28 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 2.0000e-03 eta: 3:41:25 time: 0.8538 data_time: 0.0221 memory: 19726 grad_norm: 4.3817 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7366 loss: 0.7366 2022/08/09 11:38:45 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 2.0000e-03 eta: 3:41:07 time: 0.8490 data_time: 0.0190 memory: 19726 grad_norm: 4.4263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6674 loss: 0.6674 2022/08/09 11:39:02 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 2.0000e-03 eta: 3:40:50 time: 0.8543 data_time: 0.0200 memory: 19726 grad_norm: 4.3554 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7648 loss: 0.7648 2022/08/09 11:39:19 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 2.0000e-03 eta: 3:40:33 time: 0.8474 data_time: 0.0187 memory: 19726 grad_norm: 4.3385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7852 loss: 0.7852 2022/08/09 11:39:36 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 2.0000e-03 eta: 3:40:16 time: 0.8483 data_time: 0.0181 memory: 19726 grad_norm: 4.4966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9267 loss: 0.9267 2022/08/09 11:39:53 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 2.0000e-03 eta: 3:39:59 time: 0.8515 data_time: 0.0185 memory: 19726 grad_norm: 4.4006 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6359 loss: 0.6359 2022/08/09 11:40:10 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 2.0000e-03 eta: 3:39:42 time: 0.8490 data_time: 0.0191 memory: 19726 grad_norm: 4.4551 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7651 loss: 0.7651 2022/08/09 11:40:28 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 2.0000e-03 eta: 3:39:25 time: 0.8727 data_time: 0.0255 memory: 19726 grad_norm: 4.3210 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8197 loss: 0.8197 2022/08/09 11:40:45 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 2.0000e-03 eta: 3:39:07 time: 0.8540 data_time: 0.0193 memory: 19726 grad_norm: 4.3112 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7540 loss: 0.7540 2022/08/09 11:41:02 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 2.0000e-03 eta: 3:38:50 time: 0.8535 data_time: 0.0187 memory: 19726 grad_norm: 4.4419 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9523 loss: 0.9523 2022/08/09 11:41:19 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 2.0000e-03 eta: 3:38:33 time: 0.8511 data_time: 0.0184 memory: 19726 grad_norm: 4.4215 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9573 loss: 0.9573 2022/08/09 11:41:36 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 2.0000e-03 eta: 3:38:16 time: 0.8610 data_time: 0.0198 memory: 19726 grad_norm: 4.4135 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8292 loss: 0.8292 2022/08/09 11:41:53 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 2.0000e-03 eta: 3:37:59 time: 0.8617 data_time: 0.0272 memory: 19726 grad_norm: 4.4701 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7660 loss: 0.7660 2022/08/09 11:42:10 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 2.0000e-03 eta: 3:37:42 time: 0.8505 data_time: 0.0194 memory: 19726 grad_norm: 4.3693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8140 loss: 0.8140 2022/08/09 11:42:27 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 2.0000e-03 eta: 3:37:25 time: 0.8557 data_time: 0.0194 memory: 19726 grad_norm: 4.6045 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8774 loss: 0.8774 2022/08/09 11:42:45 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 2.0000e-03 eta: 3:37:07 time: 0.8538 data_time: 0.0186 memory: 19726 grad_norm: 4.4336 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9291 loss: 0.9291 2022/08/09 11:43:02 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 2.0000e-03 eta: 3:36:50 time: 0.8548 data_time: 0.0199 memory: 19726 grad_norm: 4.3930 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9406 loss: 0.9406 2022/08/09 11:43:19 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 2.0000e-03 eta: 3:36:33 time: 0.8497 data_time: 0.0191 memory: 19726 grad_norm: 4.4299 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7515 loss: 0.7515 2022/08/09 11:43:36 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 2.0000e-03 eta: 3:36:16 time: 0.8494 data_time: 0.0193 memory: 19726 grad_norm: 4.4015 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8782 loss: 0.8782 2022/08/09 11:43:53 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 2.0000e-03 eta: 3:35:59 time: 0.8516 data_time: 0.0188 memory: 19726 grad_norm: 4.3689 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7358 loss: 0.7358 2022/08/09 11:44:10 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 2.0000e-03 eta: 3:35:42 time: 0.8505 data_time: 0.0189 memory: 19726 grad_norm: 4.3673 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8432 loss: 0.8432 2022/08/09 11:44:27 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 2.0000e-03 eta: 3:35:25 time: 0.8526 data_time: 0.0199 memory: 19726 grad_norm: 4.4123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7585 loss: 0.7585 2022/08/09 11:44:44 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 2.0000e-03 eta: 3:35:07 time: 0.8512 data_time: 0.0189 memory: 19726 grad_norm: 4.4909 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8948 loss: 0.8948 2022/08/09 11:45:01 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 2.0000e-03 eta: 3:34:50 time: 0.8537 data_time: 0.0195 memory: 19726 grad_norm: 4.3406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8975 loss: 0.8975 2022/08/09 11:45:17 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 11:45:17 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 2.0000e-03 eta: 3:34:50 time: 0.8376 data_time: 0.0195 memory: 19726 grad_norm: 4.5111 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7904 loss: 0.7904 2022/08/09 11:45:17 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/09 11:45:34 - mmengine - INFO - Epoch(val) [42][20/155] eta: 0:01:39 time: 0.7361 data_time: 0.4954 memory: 2699 2022/08/09 11:45:43 - mmengine - INFO - Epoch(val) [42][40/155] eta: 0:00:50 time: 0.4428 data_time: 0.2036 memory: 2699 2022/08/09 11:45:56 - mmengine - INFO - Epoch(val) [42][60/155] eta: 0:01:04 time: 0.6827 data_time: 0.4435 memory: 2699 2022/08/09 11:46:05 - mmengine - INFO - Epoch(val) [42][80/155] eta: 0:00:33 time: 0.4492 data_time: 0.2109 memory: 2699 2022/08/09 11:46:17 - mmengine - INFO - Epoch(val) [42][100/155] eta: 0:00:33 time: 0.6009 data_time: 0.3590 memory: 2699 2022/08/09 11:46:28 - mmengine - INFO - Epoch(val) [42][120/155] eta: 0:00:19 time: 0.5505 data_time: 0.3111 memory: 2699 2022/08/09 11:46:41 - mmengine - INFO - Epoch(val) [42][140/155] eta: 0:00:09 time: 0.6323 data_time: 0.3949 memory: 2699 2022/08/09 11:46:48 - mmengine - INFO - Epoch(val) [42][155/155] acc/top1: 0.7220 acc/top5: 0.9056 acc/mean1: 0.7218 2022/08/09 11:47:10 - mmengine - INFO - Epoch(train) [43][20/1879] lr: 2.0000e-03 eta: 3:34:15 time: 1.0862 data_time: 0.2138 memory: 19726 grad_norm: 4.2234 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7926 loss: 0.7926 2022/08/09 11:47:27 - mmengine - INFO - Epoch(train) [43][40/1879] lr: 2.0000e-03 eta: 3:33:57 time: 0.8469 data_time: 0.0187 memory: 19726 grad_norm: 4.3213 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8753 loss: 0.8753 2022/08/09 11:47:44 - mmengine - INFO - Epoch(train) [43][60/1879] lr: 2.0000e-03 eta: 3:33:40 time: 0.8534 data_time: 0.0188 memory: 19726 grad_norm: 4.3896 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8470 loss: 0.8470 2022/08/09 11:48:01 - mmengine - INFO - Epoch(train) [43][80/1879] lr: 2.0000e-03 eta: 3:33:23 time: 0.8490 data_time: 0.0187 memory: 19726 grad_norm: 4.2685 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6529 loss: 0.6529 2022/08/09 11:48:03 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 11:48:18 - mmengine - INFO - Epoch(train) [43][100/1879] lr: 2.0000e-03 eta: 3:33:06 time: 0.8502 data_time: 0.0181 memory: 19726 grad_norm: 4.3359 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8504 loss: 0.8504 2022/08/09 11:48:35 - mmengine - INFO - Epoch(train) [43][120/1879] lr: 2.0000e-03 eta: 3:32:49 time: 0.8517 data_time: 0.0200 memory: 19726 grad_norm: 4.3286 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8246 loss: 0.8246 2022/08/09 11:48:52 - mmengine - INFO - Epoch(train) [43][140/1879] lr: 2.0000e-03 eta: 3:32:32 time: 0.8525 data_time: 0.0197 memory: 19726 grad_norm: 4.4152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7967 loss: 0.7967 2022/08/09 11:49:09 - mmengine - INFO - Epoch(train) [43][160/1879] lr: 2.0000e-03 eta: 3:32:15 time: 0.8528 data_time: 0.0186 memory: 19726 grad_norm: 4.3605 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7276 loss: 0.7276 2022/08/09 11:49:26 - mmengine - INFO - Epoch(train) [43][180/1879] lr: 2.0000e-03 eta: 3:31:57 time: 0.8502 data_time: 0.0193 memory: 19726 grad_norm: 4.4168 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8084 loss: 0.8084 2022/08/09 11:49:43 - mmengine - INFO - Epoch(train) [43][200/1879] lr: 2.0000e-03 eta: 3:31:40 time: 0.8552 data_time: 0.0209 memory: 19726 grad_norm: 4.3078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8261 loss: 0.8261 2022/08/09 11:50:00 - mmengine - INFO - Epoch(train) [43][220/1879] lr: 2.0000e-03 eta: 3:31:23 time: 0.8504 data_time: 0.0182 memory: 19726 grad_norm: 4.4680 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8726 loss: 0.8726 2022/08/09 11:50:17 - mmengine - INFO - Epoch(train) [43][240/1879] lr: 2.0000e-03 eta: 3:31:06 time: 0.8612 data_time: 0.0197 memory: 19726 grad_norm: 4.3694 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7699 loss: 0.7699 2022/08/09 11:50:35 - mmengine - INFO - Epoch(train) [43][260/1879] lr: 2.0000e-03 eta: 3:30:49 time: 0.8515 data_time: 0.0177 memory: 19726 grad_norm: 4.3588 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8756 loss: 0.8756 2022/08/09 11:50:52 - mmengine - INFO - Epoch(train) [43][280/1879] lr: 2.0000e-03 eta: 3:30:32 time: 0.8636 data_time: 0.0271 memory: 19726 grad_norm: 4.3589 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9565 loss: 0.9565 2022/08/09 11:51:09 - mmengine - INFO - Epoch(train) [43][300/1879] lr: 2.0000e-03 eta: 3:30:15 time: 0.8507 data_time: 0.0204 memory: 19726 grad_norm: 4.3872 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8036 loss: 0.8036 2022/08/09 11:51:26 - mmengine - INFO - Epoch(train) [43][320/1879] lr: 2.0000e-03 eta: 3:29:58 time: 0.8548 data_time: 0.0182 memory: 19726 grad_norm: 4.3240 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6825 loss: 0.6825 2022/08/09 11:51:43 - mmengine - INFO - Epoch(train) [43][340/1879] lr: 2.0000e-03 eta: 3:29:40 time: 0.8495 data_time: 0.0195 memory: 19726 grad_norm: 4.3098 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7919 loss: 0.7919 2022/08/09 11:52:00 - mmengine - INFO - Epoch(train) [43][360/1879] lr: 2.0000e-03 eta: 3:29:23 time: 0.8473 data_time: 0.0189 memory: 19726 grad_norm: 4.2822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8482 loss: 0.8482 2022/08/09 11:52:17 - mmengine - INFO - Epoch(train) [43][380/1879] lr: 2.0000e-03 eta: 3:29:06 time: 0.8567 data_time: 0.0201 memory: 19726 grad_norm: 4.3964 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7166 loss: 0.7166 2022/08/09 11:52:34 - mmengine - INFO - Epoch(train) [43][400/1879] lr: 2.0000e-03 eta: 3:28:49 time: 0.8537 data_time: 0.0199 memory: 19726 grad_norm: 4.3675 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7707 loss: 0.7707 2022/08/09 11:52:51 - mmengine - INFO - Epoch(train) [43][420/1879] lr: 2.0000e-03 eta: 3:28:32 time: 0.8553 data_time: 0.0210 memory: 19726 grad_norm: 4.4894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7757 loss: 0.7757 2022/08/09 11:53:08 - mmengine - INFO - Epoch(train) [43][440/1879] lr: 2.0000e-03 eta: 3:28:15 time: 0.8469 data_time: 0.0184 memory: 19726 grad_norm: 4.3972 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8780 loss: 0.8780 2022/08/09 11:53:25 - mmengine - INFO - Epoch(train) [43][460/1879] lr: 2.0000e-03 eta: 3:27:58 time: 0.8628 data_time: 0.0190 memory: 19726 grad_norm: 4.3528 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7615 loss: 0.7615 2022/08/09 11:53:43 - mmengine - INFO - Epoch(train) [43][480/1879] lr: 2.0000e-03 eta: 3:27:40 time: 0.8543 data_time: 0.0204 memory: 19726 grad_norm: 4.4091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7111 loss: 0.7111 2022/08/09 11:54:00 - mmengine - INFO - Epoch(train) [43][500/1879] lr: 2.0000e-03 eta: 3:27:23 time: 0.8510 data_time: 0.0196 memory: 19726 grad_norm: 4.3156 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6622 loss: 0.6622 2022/08/09 11:54:17 - mmengine - INFO - Epoch(train) [43][520/1879] lr: 2.0000e-03 eta: 3:27:06 time: 0.8505 data_time: 0.0202 memory: 19726 grad_norm: 4.3721 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8134 loss: 0.8134 2022/08/09 11:54:34 - mmengine - INFO - Epoch(train) [43][540/1879] lr: 2.0000e-03 eta: 3:26:49 time: 0.8611 data_time: 0.0264 memory: 19726 grad_norm: 4.2561 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9421 loss: 0.9421 2022/08/09 11:54:51 - mmengine - INFO - Epoch(train) [43][560/1879] lr: 2.0000e-03 eta: 3:26:32 time: 0.8512 data_time: 0.0183 memory: 19726 grad_norm: 4.4674 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7450 loss: 0.7450 2022/08/09 11:55:08 - mmengine - INFO - Epoch(train) [43][580/1879] lr: 2.0000e-03 eta: 3:26:15 time: 0.8556 data_time: 0.0217 memory: 19726 grad_norm: 4.2759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8699 loss: 0.8699 2022/08/09 11:55:25 - mmengine - INFO - Epoch(train) [43][600/1879] lr: 2.0000e-03 eta: 3:25:58 time: 0.8580 data_time: 0.0252 memory: 19726 grad_norm: 4.5315 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8517 loss: 0.8517 2022/08/09 11:55:42 - mmengine - INFO - Epoch(train) [43][620/1879] lr: 2.0000e-03 eta: 3:25:41 time: 0.8576 data_time: 0.0199 memory: 19726 grad_norm: 4.3265 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7362 loss: 0.7362 2022/08/09 11:55:59 - mmengine - INFO - Epoch(train) [43][640/1879] lr: 2.0000e-03 eta: 3:25:23 time: 0.8505 data_time: 0.0185 memory: 19726 grad_norm: 4.5396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8457 loss: 0.8457 2022/08/09 11:56:16 - mmengine - INFO - Epoch(train) [43][660/1879] lr: 2.0000e-03 eta: 3:25:06 time: 0.8573 data_time: 0.0194 memory: 19726 grad_norm: 4.4780 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8066 loss: 0.8066 2022/08/09 11:56:33 - mmengine - INFO - Epoch(train) [43][680/1879] lr: 2.0000e-03 eta: 3:24:49 time: 0.8504 data_time: 0.0192 memory: 19726 grad_norm: 4.4756 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7899 loss: 0.7899 2022/08/09 11:56:51 - mmengine - INFO - Epoch(train) [43][700/1879] lr: 2.0000e-03 eta: 3:24:32 time: 0.8586 data_time: 0.0206 memory: 19726 grad_norm: 4.4421 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8808 loss: 0.8808 2022/08/09 11:57:08 - mmengine - INFO - Epoch(train) [43][720/1879] lr: 2.0000e-03 eta: 3:24:15 time: 0.8524 data_time: 0.0200 memory: 19726 grad_norm: 4.4361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/08/09 11:57:25 - mmengine - INFO - Epoch(train) [43][740/1879] lr: 2.0000e-03 eta: 3:23:58 time: 0.8546 data_time: 0.0194 memory: 19726 grad_norm: 4.3722 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8226 loss: 0.8226 2022/08/09 11:57:42 - mmengine - INFO - Epoch(train) [43][760/1879] lr: 2.0000e-03 eta: 3:23:41 time: 0.8521 data_time: 0.0192 memory: 19726 grad_norm: 4.4105 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7906 loss: 0.7906 2022/08/09 11:57:59 - mmengine - INFO - Epoch(train) [43][780/1879] lr: 2.0000e-03 eta: 3:23:23 time: 0.8661 data_time: 0.0287 memory: 19726 grad_norm: 4.3063 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7257 loss: 0.7257 2022/08/09 11:58:16 - mmengine - INFO - Epoch(train) [43][800/1879] lr: 2.0000e-03 eta: 3:23:06 time: 0.8559 data_time: 0.0194 memory: 19726 grad_norm: 4.3253 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6774 loss: 0.6774 2022/08/09 11:58:33 - mmengine - INFO - Epoch(train) [43][820/1879] lr: 2.0000e-03 eta: 3:22:49 time: 0.8546 data_time: 0.0190 memory: 19726 grad_norm: 4.3593 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7291 loss: 0.7291 2022/08/09 11:58:50 - mmengine - INFO - Epoch(train) [43][840/1879] lr: 2.0000e-03 eta: 3:22:32 time: 0.8510 data_time: 0.0182 memory: 19726 grad_norm: 4.1990 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8398 loss: 0.8398 2022/08/09 11:59:08 - mmengine - INFO - Epoch(train) [43][860/1879] lr: 2.0000e-03 eta: 3:22:15 time: 0.8553 data_time: 0.0192 memory: 19726 grad_norm: 4.2682 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8132 loss: 0.8132 2022/08/09 11:59:25 - mmengine - INFO - Epoch(train) [43][880/1879] lr: 2.0000e-03 eta: 3:21:58 time: 0.8582 data_time: 0.0212 memory: 19726 grad_norm: 4.4617 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7496 loss: 0.7496 2022/08/09 11:59:42 - mmengine - INFO - Epoch(train) [43][900/1879] lr: 2.0000e-03 eta: 3:21:41 time: 0.8573 data_time: 0.0195 memory: 19726 grad_norm: 4.4944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7385 loss: 0.7385 2022/08/09 11:59:59 - mmengine - INFO - Epoch(train) [43][920/1879] lr: 2.0000e-03 eta: 3:21:24 time: 0.8499 data_time: 0.0200 memory: 19726 grad_norm: 4.4574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7383 loss: 0.7383 2022/08/09 12:00:18 - mmengine - INFO - Epoch(train) [43][940/1879] lr: 2.0000e-03 eta: 3:21:07 time: 0.9311 data_time: 0.0244 memory: 19726 grad_norm: 4.4427 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9077 loss: 0.9077 2022/08/09 12:00:35 - mmengine - INFO - Epoch(train) [43][960/1879] lr: 2.0000e-03 eta: 3:20:50 time: 0.8601 data_time: 0.0194 memory: 19726 grad_norm: 4.3867 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8243 loss: 0.8243 2022/08/09 12:00:52 - mmengine - INFO - Epoch(train) [43][980/1879] lr: 2.0000e-03 eta: 3:20:32 time: 0.8541 data_time: 0.0207 memory: 19726 grad_norm: 4.4653 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8022 loss: 0.8022 2022/08/09 12:01:09 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 2.0000e-03 eta: 3:20:15 time: 0.8517 data_time: 0.0198 memory: 19726 grad_norm: 4.5034 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8936 loss: 0.8936 2022/08/09 12:01:26 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 2.0000e-03 eta: 3:19:58 time: 0.8537 data_time: 0.0198 memory: 19726 grad_norm: 4.3902 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9909 loss: 0.9909 2022/08/09 12:01:43 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 2.0000e-03 eta: 3:19:41 time: 0.8595 data_time: 0.0280 memory: 19726 grad_norm: 4.4537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7535 loss: 0.7535 2022/08/09 12:02:00 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 2.0000e-03 eta: 3:19:24 time: 0.8524 data_time: 0.0199 memory: 19726 grad_norm: 4.4011 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7867 loss: 0.7867 2022/08/09 12:02:17 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 2.0000e-03 eta: 3:19:07 time: 0.8503 data_time: 0.0189 memory: 19726 grad_norm: 4.3394 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6903 loss: 0.6903 2022/08/09 12:02:19 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 12:02:34 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 2.0000e-03 eta: 3:18:50 time: 0.8543 data_time: 0.0198 memory: 19726 grad_norm: 4.5011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8774 loss: 0.8774 2022/08/09 12:02:51 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 2.0000e-03 eta: 3:18:33 time: 0.8525 data_time: 0.0189 memory: 19726 grad_norm: 4.3592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6502 loss: 0.6502 2022/08/09 12:03:08 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 2.0000e-03 eta: 3:18:15 time: 0.8542 data_time: 0.0206 memory: 19726 grad_norm: 4.4516 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9097 loss: 0.9097 2022/08/09 12:03:26 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 2.0000e-03 eta: 3:17:58 time: 0.8545 data_time: 0.0202 memory: 19726 grad_norm: 4.4881 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8347 loss: 0.8347 2022/08/09 12:03:43 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 2.0000e-03 eta: 3:17:41 time: 0.8597 data_time: 0.0199 memory: 19726 grad_norm: 4.4175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6570 loss: 0.6570 2022/08/09 12:04:00 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 2.0000e-03 eta: 3:17:24 time: 0.8498 data_time: 0.0189 memory: 19726 grad_norm: 4.6903 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.7486 loss: 0.7486 2022/08/09 12:04:17 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 2.0000e-03 eta: 3:17:07 time: 0.8522 data_time: 0.0192 memory: 19726 grad_norm: 4.4411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8598 loss: 0.8598 2022/08/09 12:04:34 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 2.0000e-03 eta: 3:16:50 time: 0.8557 data_time: 0.0182 memory: 19726 grad_norm: 4.4272 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9232 loss: 0.9232 2022/08/09 12:04:51 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 2.0000e-03 eta: 3:16:33 time: 0.8496 data_time: 0.0196 memory: 19726 grad_norm: 4.4560 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9387 loss: 0.9387 2022/08/09 12:05:08 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 2.0000e-03 eta: 3:16:15 time: 0.8664 data_time: 0.0207 memory: 19726 grad_norm: 4.3521 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9800 loss: 0.9800 2022/08/09 12:05:25 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 2.0000e-03 eta: 3:15:58 time: 0.8582 data_time: 0.0211 memory: 19726 grad_norm: 4.3224 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9285 loss: 0.9285 2022/08/09 12:05:43 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 2.0000e-03 eta: 3:15:41 time: 0.8589 data_time: 0.0284 memory: 19726 grad_norm: 4.3130 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7769 loss: 0.7769 2022/08/09 12:06:00 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 2.0000e-03 eta: 3:15:24 time: 0.8542 data_time: 0.0208 memory: 19726 grad_norm: 4.5197 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6135 loss: 0.6135 2022/08/09 12:06:17 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 2.0000e-03 eta: 3:15:07 time: 0.8527 data_time: 0.0188 memory: 19726 grad_norm: 4.3104 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7075 loss: 0.7075 2022/08/09 12:06:34 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 2.0000e-03 eta: 3:14:50 time: 0.8605 data_time: 0.0211 memory: 19726 grad_norm: 4.3478 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8334 loss: 0.8334 2022/08/09 12:06:51 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 2.0000e-03 eta: 3:14:33 time: 0.8532 data_time: 0.0202 memory: 19726 grad_norm: 4.4265 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8096 loss: 0.8096 2022/08/09 12:07:08 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 2.0000e-03 eta: 3:14:16 time: 0.8512 data_time: 0.0197 memory: 19726 grad_norm: 4.2330 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8255 loss: 0.8255 2022/08/09 12:07:25 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 2.0000e-03 eta: 3:13:58 time: 0.8541 data_time: 0.0190 memory: 19726 grad_norm: 4.4536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8648 loss: 0.8648 2022/08/09 12:07:42 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 2.0000e-03 eta: 3:13:41 time: 0.8548 data_time: 0.0190 memory: 19726 grad_norm: 4.4349 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7433 loss: 0.7433 2022/08/09 12:07:59 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 2.0000e-03 eta: 3:13:24 time: 0.8512 data_time: 0.0194 memory: 19726 grad_norm: 4.4056 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7525 loss: 0.7525 2022/08/09 12:08:16 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 2.0000e-03 eta: 3:13:07 time: 0.8537 data_time: 0.0196 memory: 19726 grad_norm: 4.6240 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8015 loss: 0.8015 2022/08/09 12:08:34 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 2.0000e-03 eta: 3:12:50 time: 0.8553 data_time: 0.0192 memory: 19726 grad_norm: 4.5016 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7750 loss: 0.7750 2022/08/09 12:08:51 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 2.0000e-03 eta: 3:12:33 time: 0.8492 data_time: 0.0176 memory: 19726 grad_norm: 4.3563 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7323 loss: 0.7323 2022/08/09 12:09:08 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 2.0000e-03 eta: 3:12:16 time: 0.8580 data_time: 0.0190 memory: 19726 grad_norm: 4.2303 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7254 loss: 0.7254 2022/08/09 12:09:25 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 2.0000e-03 eta: 3:11:58 time: 0.8498 data_time: 0.0205 memory: 19726 grad_norm: 4.5914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9164 loss: 0.9164 2022/08/09 12:09:42 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 2.0000e-03 eta: 3:11:41 time: 0.8538 data_time: 0.0197 memory: 19726 grad_norm: 4.2915 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7347 loss: 0.7347 2022/08/09 12:09:59 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 2.0000e-03 eta: 3:11:24 time: 0.8496 data_time: 0.0180 memory: 19726 grad_norm: 4.6719 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8150 loss: 0.8150 2022/08/09 12:10:16 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 2.0000e-03 eta: 3:11:07 time: 0.8538 data_time: 0.0195 memory: 19726 grad_norm: 4.4590 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7997 loss: 0.7997 2022/08/09 12:10:33 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 2.0000e-03 eta: 3:10:50 time: 0.8521 data_time: 0.0203 memory: 19726 grad_norm: 4.3952 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7732 loss: 0.7732 2022/08/09 12:10:50 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 2.0000e-03 eta: 3:10:33 time: 0.8569 data_time: 0.0203 memory: 19726 grad_norm: 4.2539 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8296 loss: 0.8296 2022/08/09 12:11:07 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 2.0000e-03 eta: 3:10:16 time: 0.8513 data_time: 0.0194 memory: 19726 grad_norm: 4.3175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7301 loss: 0.7301 2022/08/09 12:11:24 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 2.0000e-03 eta: 3:09:59 time: 0.8635 data_time: 0.0255 memory: 19726 grad_norm: 4.5437 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7964 loss: 0.7964 2022/08/09 12:11:41 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 2.0000e-03 eta: 3:09:41 time: 0.8512 data_time: 0.0196 memory: 19726 grad_norm: 4.3974 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8251 loss: 0.8251 2022/08/09 12:11:59 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 2.0000e-03 eta: 3:09:24 time: 0.8543 data_time: 0.0193 memory: 19726 grad_norm: 4.3547 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8539 loss: 0.8539 2022/08/09 12:12:16 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 2.0000e-03 eta: 3:09:07 time: 0.8540 data_time: 0.0197 memory: 19726 grad_norm: 4.1463 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7860 loss: 0.7860 2022/08/09 12:12:33 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 2.0000e-03 eta: 3:08:50 time: 0.8532 data_time: 0.0199 memory: 19726 grad_norm: 4.4188 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7853 loss: 0.7853 2022/08/09 12:12:50 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 2.0000e-03 eta: 3:08:33 time: 0.8493 data_time: 0.0191 memory: 19726 grad_norm: 4.4537 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7589 loss: 0.7589 2022/08/09 12:13:07 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 2.0000e-03 eta: 3:08:16 time: 0.8517 data_time: 0.0196 memory: 19726 grad_norm: 4.2960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7226 loss: 0.7226 2022/08/09 12:13:24 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 2.0000e-03 eta: 3:07:59 time: 0.8565 data_time: 0.0199 memory: 19726 grad_norm: 4.3299 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9294 loss: 0.9294 2022/08/09 12:13:40 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 12:13:40 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 2.0000e-03 eta: 3:07:59 time: 0.8385 data_time: 0.0262 memory: 19726 grad_norm: 4.5321 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7557 loss: 0.7557 2022/08/09 12:13:54 - mmengine - INFO - Epoch(val) [43][20/155] eta: 0:01:34 time: 0.6982 data_time: 0.4528 memory: 2699 2022/08/09 12:14:04 - mmengine - INFO - Epoch(val) [43][40/155] eta: 0:00:56 time: 0.4896 data_time: 0.2485 memory: 2699 2022/08/09 12:14:15 - mmengine - INFO - Epoch(val) [43][60/155] eta: 0:00:54 time: 0.5740 data_time: 0.3348 memory: 2699 2022/08/09 12:14:25 - mmengine - INFO - Epoch(val) [43][80/155] eta: 0:00:37 time: 0.5051 data_time: 0.2668 memory: 2699 2022/08/09 12:14:36 - mmengine - INFO - Epoch(val) [43][100/155] eta: 0:00:30 time: 0.5469 data_time: 0.3089 memory: 2699 2022/08/09 12:14:47 - mmengine - INFO - Epoch(val) [43][120/155] eta: 0:00:19 time: 0.5649 data_time: 0.3263 memory: 2699 2022/08/09 12:14:59 - mmengine - INFO - Epoch(val) [43][140/155] eta: 0:00:08 time: 0.5993 data_time: 0.3605 memory: 2699 2022/08/09 12:15:13 - mmengine - INFO - Epoch(val) [43][155/155] acc/top1: 0.7202 acc/top5: 0.9058 acc/mean1: 0.7201 2022/08/09 12:15:35 - mmengine - INFO - Epoch(train) [44][20/1879] lr: 2.0000e-03 eta: 3:07:23 time: 1.0967 data_time: 0.2013 memory: 19726 grad_norm: 4.3196 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8292 loss: 0.8292 2022/08/09 12:15:52 - mmengine - INFO - Epoch(train) [44][40/1879] lr: 2.0000e-03 eta: 3:07:06 time: 0.8476 data_time: 0.0185 memory: 19726 grad_norm: 4.4069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7521 loss: 0.7521 2022/08/09 12:16:09 - mmengine - INFO - Epoch(train) [44][60/1879] lr: 2.0000e-03 eta: 3:06:49 time: 0.8483 data_time: 0.0202 memory: 19726 grad_norm: 4.2207 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7363 loss: 0.7363 2022/08/09 12:16:26 - mmengine - INFO - Epoch(train) [44][80/1879] lr: 2.0000e-03 eta: 3:06:32 time: 0.8517 data_time: 0.0199 memory: 19726 grad_norm: 4.4114 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7420 loss: 0.7420 2022/08/09 12:16:43 - mmengine - INFO - Epoch(train) [44][100/1879] lr: 2.0000e-03 eta: 3:06:15 time: 0.8536 data_time: 0.0189 memory: 19726 grad_norm: 4.4066 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7973 loss: 0.7973 2022/08/09 12:17:00 - mmengine - INFO - Epoch(train) [44][120/1879] lr: 2.0000e-03 eta: 3:05:58 time: 0.8511 data_time: 0.0183 memory: 19726 grad_norm: 4.4628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8817 loss: 0.8817 2022/08/09 12:17:17 - mmengine - INFO - Epoch(train) [44][140/1879] lr: 2.0000e-03 eta: 3:05:40 time: 0.8527 data_time: 0.0195 memory: 19726 grad_norm: 4.4196 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7644 loss: 0.7644 2022/08/09 12:17:34 - mmengine - INFO - Epoch(train) [44][160/1879] lr: 2.0000e-03 eta: 3:05:23 time: 0.8536 data_time: 0.0197 memory: 19726 grad_norm: 4.4499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8489 loss: 0.8489 2022/08/09 12:17:51 - mmengine - INFO - Epoch(train) [44][180/1879] lr: 2.0000e-03 eta: 3:05:06 time: 0.8520 data_time: 0.0192 memory: 19726 grad_norm: 4.4996 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8916 loss: 0.8916 2022/08/09 12:18:09 - mmengine - INFO - Epoch(train) [44][200/1879] lr: 2.0000e-03 eta: 3:04:49 time: 0.8581 data_time: 0.0210 memory: 19726 grad_norm: 4.4851 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7596 loss: 0.7596 2022/08/09 12:18:11 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 12:18:26 - mmengine - INFO - Epoch(train) [44][220/1879] lr: 2.0000e-03 eta: 3:04:32 time: 0.8553 data_time: 0.0192 memory: 19726 grad_norm: 4.4478 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6880 loss: 0.6880 2022/08/09 12:18:43 - mmengine - INFO - Epoch(train) [44][240/1879] lr: 2.0000e-03 eta: 3:04:15 time: 0.8525 data_time: 0.0188 memory: 19726 grad_norm: 4.3942 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6898 loss: 0.6898 2022/08/09 12:19:00 - mmengine - INFO - Epoch(train) [44][260/1879] lr: 2.0000e-03 eta: 3:03:58 time: 0.8517 data_time: 0.0187 memory: 19726 grad_norm: 4.3945 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6946 loss: 0.6946 2022/08/09 12:19:17 - mmengine - INFO - Epoch(train) [44][280/1879] lr: 2.0000e-03 eta: 3:03:41 time: 0.8528 data_time: 0.0187 memory: 19726 grad_norm: 4.2798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6280 loss: 0.6280 2022/08/09 12:19:34 - mmengine - INFO - Epoch(train) [44][300/1879] lr: 2.0000e-03 eta: 3:03:23 time: 0.8511 data_time: 0.0202 memory: 19726 grad_norm: 4.4190 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9741 loss: 0.9741 2022/08/09 12:19:51 - mmengine - INFO - Epoch(train) [44][320/1879] lr: 2.0000e-03 eta: 3:03:06 time: 0.8511 data_time: 0.0186 memory: 19726 grad_norm: 4.4414 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8441 loss: 0.8441 2022/08/09 12:20:08 - mmengine - INFO - Epoch(train) [44][340/1879] lr: 2.0000e-03 eta: 3:02:49 time: 0.8547 data_time: 0.0198 memory: 19726 grad_norm: 4.4794 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7051 loss: 0.7051 2022/08/09 12:20:25 - mmengine - INFO - Epoch(train) [44][360/1879] lr: 2.0000e-03 eta: 3:02:32 time: 0.8568 data_time: 0.0223 memory: 19726 grad_norm: 4.4859 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8667 loss: 0.8667 2022/08/09 12:20:42 - mmengine - INFO - Epoch(train) [44][380/1879] lr: 2.0000e-03 eta: 3:02:15 time: 0.8485 data_time: 0.0200 memory: 19726 grad_norm: 4.3942 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7742 loss: 0.7742 2022/08/09 12:20:59 - mmengine - INFO - Epoch(train) [44][400/1879] lr: 2.0000e-03 eta: 3:01:58 time: 0.8543 data_time: 0.0213 memory: 19726 grad_norm: 4.3117 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7972 loss: 0.7972 2022/08/09 12:21:16 - mmengine - INFO - Epoch(train) [44][420/1879] lr: 2.0000e-03 eta: 3:01:41 time: 0.8514 data_time: 0.0194 memory: 19726 grad_norm: 4.4239 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8092 loss: 0.8092 2022/08/09 12:21:33 - mmengine - INFO - Epoch(train) [44][440/1879] lr: 2.0000e-03 eta: 3:01:23 time: 0.8468 data_time: 0.0184 memory: 19726 grad_norm: 4.4341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8125 loss: 0.8125 2022/08/09 12:21:50 - mmengine - INFO - Epoch(train) [44][460/1879] lr: 2.0000e-03 eta: 3:01:06 time: 0.8490 data_time: 0.0190 memory: 19726 grad_norm: 4.4491 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8329 loss: 0.8329 2022/08/09 12:22:07 - mmengine - INFO - Epoch(train) [44][480/1879] lr: 2.0000e-03 eta: 3:00:49 time: 0.8516 data_time: 0.0199 memory: 19726 grad_norm: 4.4421 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8157 loss: 0.8157 2022/08/09 12:22:24 - mmengine - INFO - Epoch(train) [44][500/1879] lr: 2.0000e-03 eta: 3:00:32 time: 0.8535 data_time: 0.0208 memory: 19726 grad_norm: 4.4431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6813 loss: 0.6813 2022/08/09 12:22:42 - mmengine - INFO - Epoch(train) [44][520/1879] lr: 2.0000e-03 eta: 3:00:15 time: 0.8544 data_time: 0.0212 memory: 19726 grad_norm: 4.5516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6945 loss: 0.6945 2022/08/09 12:22:58 - mmengine - INFO - Epoch(train) [44][540/1879] lr: 2.0000e-03 eta: 2:59:58 time: 0.8477 data_time: 0.0197 memory: 19726 grad_norm: 4.2752 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7926 loss: 0.7926 2022/08/09 12:23:16 - mmengine - INFO - Epoch(train) [44][560/1879] lr: 2.0000e-03 eta: 2:59:41 time: 0.8533 data_time: 0.0191 memory: 19726 grad_norm: 4.5206 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7461 loss: 0.7461 2022/08/09 12:23:33 - mmengine - INFO - Epoch(train) [44][580/1879] lr: 2.0000e-03 eta: 2:59:24 time: 0.8487 data_time: 0.0191 memory: 19726 grad_norm: 4.4680 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7296 loss: 0.7296 2022/08/09 12:23:50 - mmengine - INFO - Epoch(train) [44][600/1879] lr: 2.0000e-03 eta: 2:59:06 time: 0.8560 data_time: 0.0192 memory: 19726 grad_norm: 4.3989 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8506 loss: 0.8506 2022/08/09 12:24:07 - mmengine - INFO - Epoch(train) [44][620/1879] lr: 2.0000e-03 eta: 2:58:49 time: 0.8511 data_time: 0.0199 memory: 19726 grad_norm: 4.5329 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7838 loss: 0.7838 2022/08/09 12:24:24 - mmengine - INFO - Epoch(train) [44][640/1879] lr: 2.0000e-03 eta: 2:58:32 time: 0.8506 data_time: 0.0199 memory: 19726 grad_norm: 4.3121 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7392 loss: 0.7392 2022/08/09 12:24:41 - mmengine - INFO - Epoch(train) [44][660/1879] lr: 2.0000e-03 eta: 2:58:15 time: 0.8524 data_time: 0.0197 memory: 19726 grad_norm: 4.3907 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8077 loss: 0.8077 2022/08/09 12:24:58 - mmengine - INFO - Epoch(train) [44][680/1879] lr: 2.0000e-03 eta: 2:57:58 time: 0.8497 data_time: 0.0187 memory: 19726 grad_norm: 4.4572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7064 loss: 0.7064 2022/08/09 12:25:15 - mmengine - INFO - Epoch(train) [44][700/1879] lr: 2.0000e-03 eta: 2:57:41 time: 0.8594 data_time: 0.0196 memory: 19726 grad_norm: 4.4461 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6907 loss: 0.6907 2022/08/09 12:25:32 - mmengine - INFO - Epoch(train) [44][720/1879] lr: 2.0000e-03 eta: 2:57:24 time: 0.8496 data_time: 0.0193 memory: 19726 grad_norm: 4.3637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8306 loss: 0.8306 2022/08/09 12:25:49 - mmengine - INFO - Epoch(train) [44][740/1879] lr: 2.0000e-03 eta: 2:57:06 time: 0.8545 data_time: 0.0194 memory: 19726 grad_norm: 4.4388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8017 loss: 0.8017 2022/08/09 12:26:06 - mmengine - INFO - Epoch(train) [44][760/1879] lr: 2.0000e-03 eta: 2:56:49 time: 0.8522 data_time: 0.0182 memory: 19726 grad_norm: 4.4511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8234 loss: 0.8234 2022/08/09 12:26:23 - mmengine - INFO - Epoch(train) [44][780/1879] lr: 2.0000e-03 eta: 2:56:32 time: 0.8567 data_time: 0.0195 memory: 19726 grad_norm: 4.3234 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8309 loss: 0.8309 2022/08/09 12:26:40 - mmengine - INFO - Epoch(train) [44][800/1879] lr: 2.0000e-03 eta: 2:56:15 time: 0.8551 data_time: 0.0197 memory: 19726 grad_norm: 4.4446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7646 loss: 0.7646 2022/08/09 12:26:57 - mmengine - INFO - Epoch(train) [44][820/1879] lr: 2.0000e-03 eta: 2:55:58 time: 0.8544 data_time: 0.0194 memory: 19726 grad_norm: 4.3784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7586 loss: 0.7586 2022/08/09 12:27:15 - mmengine - INFO - Epoch(train) [44][840/1879] lr: 2.0000e-03 eta: 2:55:41 time: 0.8528 data_time: 0.0185 memory: 19726 grad_norm: 4.4790 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7589 loss: 0.7589 2022/08/09 12:27:32 - mmengine - INFO - Epoch(train) [44][860/1879] lr: 2.0000e-03 eta: 2:55:24 time: 0.8600 data_time: 0.0184 memory: 19726 grad_norm: 4.4295 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6768 loss: 0.6768 2022/08/09 12:27:49 - mmengine - INFO - Epoch(train) [44][880/1879] lr: 2.0000e-03 eta: 2:55:07 time: 0.8531 data_time: 0.0191 memory: 19726 grad_norm: 4.5103 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8068 loss: 0.8068 2022/08/09 12:28:07 - mmengine - INFO - Epoch(train) [44][900/1879] lr: 2.0000e-03 eta: 2:54:50 time: 0.8916 data_time: 0.0324 memory: 19726 grad_norm: 4.4693 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8650 loss: 0.8650 2022/08/09 12:28:24 - mmengine - INFO - Epoch(train) [44][920/1879] lr: 2.0000e-03 eta: 2:54:32 time: 0.8527 data_time: 0.0197 memory: 19726 grad_norm: 4.3620 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7676 loss: 0.7676 2022/08/09 12:28:41 - mmengine - INFO - Epoch(train) [44][940/1879] lr: 2.0000e-03 eta: 2:54:15 time: 0.8514 data_time: 0.0186 memory: 19726 grad_norm: 4.4486 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7648 loss: 0.7648 2022/08/09 12:28:58 - mmengine - INFO - Epoch(train) [44][960/1879] lr: 2.0000e-03 eta: 2:53:58 time: 0.8599 data_time: 0.0194 memory: 19726 grad_norm: 4.5480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8055 loss: 0.8055 2022/08/09 12:29:15 - mmengine - INFO - Epoch(train) [44][980/1879] lr: 2.0000e-03 eta: 2:53:41 time: 0.8555 data_time: 0.0196 memory: 19726 grad_norm: 4.7293 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7615 loss: 0.7615 2022/08/09 12:29:32 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 2.0000e-03 eta: 2:53:24 time: 0.8516 data_time: 0.0184 memory: 19726 grad_norm: 4.6476 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8068 loss: 0.8068 2022/08/09 12:29:49 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 2.0000e-03 eta: 2:53:07 time: 0.8596 data_time: 0.0190 memory: 19726 grad_norm: 4.3523 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6920 loss: 0.6920 2022/08/09 12:30:07 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 2.0000e-03 eta: 2:52:50 time: 0.8596 data_time: 0.0207 memory: 19726 grad_norm: 4.4774 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8677 loss: 0.8677 2022/08/09 12:30:24 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 2.0000e-03 eta: 2:52:33 time: 0.8608 data_time: 0.0209 memory: 19726 grad_norm: 4.5468 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7710 loss: 0.7710 2022/08/09 12:30:41 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 2.0000e-03 eta: 2:52:15 time: 0.8547 data_time: 0.0200 memory: 19726 grad_norm: 4.3107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6133 loss: 0.6133 2022/08/09 12:30:58 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 2.0000e-03 eta: 2:51:58 time: 0.8565 data_time: 0.0195 memory: 19726 grad_norm: 4.5907 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7573 loss: 0.7573 2022/08/09 12:31:15 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 2.0000e-03 eta: 2:51:41 time: 0.8535 data_time: 0.0198 memory: 19726 grad_norm: 4.5350 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7440 loss: 0.7440 2022/08/09 12:31:32 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 2.0000e-03 eta: 2:51:24 time: 0.8486 data_time: 0.0186 memory: 19726 grad_norm: 4.4610 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8060 loss: 0.8060 2022/08/09 12:31:49 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 2.0000e-03 eta: 2:51:07 time: 0.8610 data_time: 0.0197 memory: 19726 grad_norm: 4.4553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7873 loss: 0.7873 2022/08/09 12:32:06 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 2.0000e-03 eta: 2:50:50 time: 0.8603 data_time: 0.0203 memory: 19726 grad_norm: 4.5102 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8607 loss: 0.8607 2022/08/09 12:32:24 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 2.0000e-03 eta: 2:50:33 time: 0.8521 data_time: 0.0199 memory: 19726 grad_norm: 4.4935 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8552 loss: 0.8552 2022/08/09 12:32:26 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 12:32:41 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 2.0000e-03 eta: 2:50:16 time: 0.8506 data_time: 0.0192 memory: 19726 grad_norm: 4.3894 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7046 loss: 0.7046 2022/08/09 12:32:58 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 2.0000e-03 eta: 2:49:58 time: 0.8553 data_time: 0.0198 memory: 19726 grad_norm: 4.4877 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8361 loss: 0.8361 2022/08/09 12:33:15 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 2.0000e-03 eta: 2:49:41 time: 0.8636 data_time: 0.0266 memory: 19726 grad_norm: 4.3515 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5729 loss: 0.5729 2022/08/09 12:33:32 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 2.0000e-03 eta: 2:49:24 time: 0.8570 data_time: 0.0190 memory: 19726 grad_norm: 4.5166 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7396 loss: 0.7396 2022/08/09 12:33:49 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 2.0000e-03 eta: 2:49:07 time: 0.8522 data_time: 0.0194 memory: 19726 grad_norm: 4.5310 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8218 loss: 0.8218 2022/08/09 12:34:06 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 2.0000e-03 eta: 2:48:50 time: 0.8501 data_time: 0.0199 memory: 19726 grad_norm: 4.2022 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6029 loss: 0.6029 2022/08/09 12:34:23 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 2.0000e-03 eta: 2:48:33 time: 0.8530 data_time: 0.0189 memory: 19726 grad_norm: 4.3376 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7588 loss: 0.7588 2022/08/09 12:34:40 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 2.0000e-03 eta: 2:48:16 time: 0.8547 data_time: 0.0199 memory: 19726 grad_norm: 4.7167 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8297 loss: 0.8297 2022/08/09 12:34:57 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 2.0000e-03 eta: 2:47:59 time: 0.8549 data_time: 0.0200 memory: 19726 grad_norm: 4.3921 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8139 loss: 0.8139 2022/08/09 12:35:15 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 2.0000e-03 eta: 2:47:41 time: 0.8575 data_time: 0.0230 memory: 19726 grad_norm: 4.5444 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8897 loss: 0.8897 2022/08/09 12:35:32 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 2.0000e-03 eta: 2:47:24 time: 0.8601 data_time: 0.0212 memory: 19726 grad_norm: 4.5875 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7325 loss: 0.7325 2022/08/09 12:35:49 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 2.0000e-03 eta: 2:47:07 time: 0.8503 data_time: 0.0197 memory: 19726 grad_norm: 4.4451 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7617 loss: 0.7617 2022/08/09 12:36:06 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 2.0000e-03 eta: 2:46:50 time: 0.8622 data_time: 0.0294 memory: 19726 grad_norm: 4.5190 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7321 loss: 0.7321 2022/08/09 12:36:23 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 2.0000e-03 eta: 2:46:33 time: 0.8491 data_time: 0.0201 memory: 19726 grad_norm: 4.4169 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8116 loss: 0.8116 2022/08/09 12:36:40 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 2.0000e-03 eta: 2:46:16 time: 0.8638 data_time: 0.0193 memory: 19726 grad_norm: 4.4419 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7881 loss: 0.7881 2022/08/09 12:36:57 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 2.0000e-03 eta: 2:45:59 time: 0.8516 data_time: 0.0196 memory: 19726 grad_norm: 4.5762 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6415 loss: 0.6415 2022/08/09 12:37:15 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 2.0000e-03 eta: 2:45:42 time: 0.8544 data_time: 0.0194 memory: 19726 grad_norm: 4.5360 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8637 loss: 0.8637 2022/08/09 12:37:32 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 2.0000e-03 eta: 2:45:24 time: 0.8509 data_time: 0.0199 memory: 19726 grad_norm: 4.5434 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9238 loss: 0.9238 2022/08/09 12:37:49 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 2.0000e-03 eta: 2:45:07 time: 0.8649 data_time: 0.0196 memory: 19726 grad_norm: 4.4210 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8686 loss: 0.8686 2022/08/09 12:38:06 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 2.0000e-03 eta: 2:44:50 time: 0.8502 data_time: 0.0190 memory: 19726 grad_norm: 4.5871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7693 loss: 0.7693 2022/08/09 12:38:23 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 2.0000e-03 eta: 2:44:33 time: 0.8546 data_time: 0.0190 memory: 19726 grad_norm: 4.5251 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8192 loss: 0.8192 2022/08/09 12:38:40 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 2.0000e-03 eta: 2:44:16 time: 0.8501 data_time: 0.0194 memory: 19726 grad_norm: 4.5045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9008 loss: 0.9008 2022/08/09 12:38:57 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 2.0000e-03 eta: 2:43:59 time: 0.8541 data_time: 0.0180 memory: 19726 grad_norm: 4.4424 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7884 loss: 0.7884 2022/08/09 12:39:14 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 2.0000e-03 eta: 2:43:42 time: 0.8514 data_time: 0.0189 memory: 19726 grad_norm: 4.4687 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/08/09 12:39:31 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 2.0000e-03 eta: 2:43:25 time: 0.8524 data_time: 0.0199 memory: 19726 grad_norm: 4.5073 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7384 loss: 0.7384 2022/08/09 12:39:48 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 2.0000e-03 eta: 2:43:07 time: 0.8555 data_time: 0.0201 memory: 19726 grad_norm: 4.5617 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8224 loss: 0.8224 2022/08/09 12:40:06 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 2.0000e-03 eta: 2:42:50 time: 0.8826 data_time: 0.0300 memory: 19726 grad_norm: 4.4867 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7048 loss: 0.7048 2022/08/09 12:40:23 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 2.0000e-03 eta: 2:42:33 time: 0.8640 data_time: 0.0322 memory: 19726 grad_norm: 4.4650 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7673 loss: 0.7673 2022/08/09 12:40:40 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 2.0000e-03 eta: 2:42:16 time: 0.8511 data_time: 0.0195 memory: 19726 grad_norm: 4.4623 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7623 loss: 0.7623 2022/08/09 12:40:57 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 2.0000e-03 eta: 2:41:59 time: 0.8528 data_time: 0.0196 memory: 19726 grad_norm: 4.5239 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8268 loss: 0.8268 2022/08/09 12:41:14 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 2.0000e-03 eta: 2:41:42 time: 0.8564 data_time: 0.0246 memory: 19726 grad_norm: 4.2926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7134 loss: 0.7134 2022/08/09 12:41:32 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 2.0000e-03 eta: 2:41:25 time: 0.8532 data_time: 0.0196 memory: 19726 grad_norm: 4.4944 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7274 loss: 0.7274 2022/08/09 12:41:49 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 2.0000e-03 eta: 2:41:08 time: 0.8518 data_time: 0.0204 memory: 19726 grad_norm: 4.4103 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7990 loss: 0.7990 2022/08/09 12:42:05 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 12:42:05 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 2.0000e-03 eta: 2:41:08 time: 0.8486 data_time: 0.0194 memory: 19726 grad_norm: 4.6644 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.6916 loss: 0.6916 2022/08/09 12:42:19 - mmengine - INFO - Epoch(val) [44][20/155] eta: 0:01:35 time: 0.7052 data_time: 0.4637 memory: 2699 2022/08/09 12:42:28 - mmengine - INFO - Epoch(val) [44][40/155] eta: 0:00:52 time: 0.4577 data_time: 0.2172 memory: 2699 2022/08/09 12:42:40 - mmengine - INFO - Epoch(val) [44][60/155] eta: 0:00:57 time: 0.6021 data_time: 0.3626 memory: 2699 2022/08/09 12:42:49 - mmengine - INFO - Epoch(val) [44][80/155] eta: 0:00:35 time: 0.4692 data_time: 0.2302 memory: 2699 2022/08/09 12:43:02 - mmengine - INFO - Epoch(val) [44][100/155] eta: 0:00:33 time: 0.6081 data_time: 0.3688 memory: 2699 2022/08/09 12:43:12 - mmengine - INFO - Epoch(val) [44][120/155] eta: 0:00:18 time: 0.5257 data_time: 0.2877 memory: 2699 2022/08/09 12:43:26 - mmengine - INFO - Epoch(val) [44][140/155] eta: 0:00:10 time: 0.6870 data_time: 0.4466 memory: 2699 2022/08/09 12:43:33 - mmengine - INFO - Epoch(val) [44][155/155] acc/top1: 0.7225 acc/top5: 0.9043 acc/mean1: 0.7224 2022/08/09 12:43:34 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_39.pth is removed 2022/08/09 12:43:36 - mmengine - INFO - The best checkpoint with 0.7225 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/08/09 12:43:57 - mmengine - INFO - Epoch(train) [45][20/1879] lr: 2.0000e-03 eta: 2:40:33 time: 1.0813 data_time: 0.2388 memory: 19726 grad_norm: 4.2926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6323 loss: 0.6323 2022/08/09 12:44:14 - mmengine - INFO - Epoch(train) [45][40/1879] lr: 2.0000e-03 eta: 2:40:16 time: 0.8486 data_time: 0.0191 memory: 19726 grad_norm: 4.3741 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6252 loss: 0.6252 2022/08/09 12:44:32 - mmengine - INFO - Epoch(train) [45][60/1879] lr: 2.0000e-03 eta: 2:39:58 time: 0.8544 data_time: 0.0195 memory: 19726 grad_norm: 4.4075 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7934 loss: 0.7934 2022/08/09 12:44:49 - mmengine - INFO - Epoch(train) [45][80/1879] lr: 2.0000e-03 eta: 2:39:41 time: 0.8518 data_time: 0.0196 memory: 19726 grad_norm: 4.2754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7528 loss: 0.7528 2022/08/09 12:45:06 - mmengine - INFO - Epoch(train) [45][100/1879] lr: 2.0000e-03 eta: 2:39:24 time: 0.8483 data_time: 0.0190 memory: 19726 grad_norm: 4.4327 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7654 loss: 0.7654 2022/08/09 12:45:23 - mmengine - INFO - Epoch(train) [45][120/1879] lr: 2.0000e-03 eta: 2:39:07 time: 0.8513 data_time: 0.0185 memory: 19726 grad_norm: 4.4122 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6273 loss: 0.6273 2022/08/09 12:45:40 - mmengine - INFO - Epoch(train) [45][140/1879] lr: 2.0000e-03 eta: 2:38:50 time: 0.8518 data_time: 0.0188 memory: 19726 grad_norm: 4.5107 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7685 loss: 0.7685 2022/08/09 12:45:57 - mmengine - INFO - Epoch(train) [45][160/1879] lr: 2.0000e-03 eta: 2:38:33 time: 0.8505 data_time: 0.0194 memory: 19726 grad_norm: 4.5225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8312 loss: 0.8312 2022/08/09 12:46:14 - mmengine - INFO - Epoch(train) [45][180/1879] lr: 2.0000e-03 eta: 2:38:16 time: 0.8533 data_time: 0.0198 memory: 19726 grad_norm: 4.3964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8075 loss: 0.8075 2022/08/09 12:46:31 - mmengine - INFO - Epoch(train) [45][200/1879] lr: 2.0000e-03 eta: 2:37:58 time: 0.8508 data_time: 0.0198 memory: 19726 grad_norm: 4.4145 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7674 loss: 0.7674 2022/08/09 12:46:48 - mmengine - INFO - Epoch(train) [45][220/1879] lr: 2.0000e-03 eta: 2:37:41 time: 0.8607 data_time: 0.0194 memory: 19726 grad_norm: 4.4013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8223 loss: 0.8223 2022/08/09 12:47:05 - mmengine - INFO - Epoch(train) [45][240/1879] lr: 2.0000e-03 eta: 2:37:24 time: 0.8514 data_time: 0.0181 memory: 19726 grad_norm: 4.4255 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8421 loss: 0.8421 2022/08/09 12:47:22 - mmengine - INFO - Epoch(train) [45][260/1879] lr: 2.0000e-03 eta: 2:37:07 time: 0.8583 data_time: 0.0193 memory: 19726 grad_norm: 4.4887 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7554 loss: 0.7554 2022/08/09 12:47:39 - mmengine - INFO - Epoch(train) [45][280/1879] lr: 2.0000e-03 eta: 2:36:50 time: 0.8621 data_time: 0.0284 memory: 19726 grad_norm: 4.6026 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9438 loss: 0.9438 2022/08/09 12:47:57 - mmengine - INFO - Epoch(train) [45][300/1879] lr: 2.0000e-03 eta: 2:36:33 time: 0.8561 data_time: 0.0201 memory: 19726 grad_norm: 4.5069 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8228 loss: 0.8228 2022/08/09 12:48:14 - mmengine - INFO - Epoch(train) [45][320/1879] lr: 2.0000e-03 eta: 2:36:16 time: 0.8562 data_time: 0.0194 memory: 19726 grad_norm: 4.3157 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7523 loss: 0.7523 2022/08/09 12:48:17 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 12:48:31 - mmengine - INFO - Epoch(train) [45][340/1879] lr: 2.0000e-03 eta: 2:35:59 time: 0.8520 data_time: 0.0195 memory: 19726 grad_norm: 4.4658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7569 loss: 0.7569 2022/08/09 12:48:48 - mmengine - INFO - Epoch(train) [45][360/1879] lr: 2.0000e-03 eta: 2:35:42 time: 0.8563 data_time: 0.0196 memory: 19726 grad_norm: 4.4611 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7768 loss: 0.7768 2022/08/09 12:49:05 - mmengine - INFO - Epoch(train) [45][380/1879] lr: 2.0000e-03 eta: 2:35:24 time: 0.8473 data_time: 0.0189 memory: 19726 grad_norm: 4.4245 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8102 loss: 0.8102 2022/08/09 12:49:22 - mmengine - INFO - Epoch(train) [45][400/1879] lr: 2.0000e-03 eta: 2:35:07 time: 0.8515 data_time: 0.0204 memory: 19726 grad_norm: 4.5557 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8894 loss: 0.8894 2022/08/09 12:49:39 - mmengine - INFO - Epoch(train) [45][420/1879] lr: 2.0000e-03 eta: 2:34:50 time: 0.8534 data_time: 0.0221 memory: 19726 grad_norm: 4.4053 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7993 loss: 0.7993 2022/08/09 12:49:56 - mmengine - INFO - Epoch(train) [45][440/1879] lr: 2.0000e-03 eta: 2:34:33 time: 0.8467 data_time: 0.0184 memory: 19726 grad_norm: 4.3932 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7558 loss: 0.7558 2022/08/09 12:50:13 - mmengine - INFO - Epoch(train) [45][460/1879] lr: 2.0000e-03 eta: 2:34:16 time: 0.8499 data_time: 0.0196 memory: 19726 grad_norm: 4.6085 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8660 loss: 0.8660 2022/08/09 12:50:30 - mmengine - INFO - Epoch(train) [45][480/1879] lr: 2.0000e-03 eta: 2:33:59 time: 0.8567 data_time: 0.0209 memory: 19726 grad_norm: 4.4854 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9451 loss: 0.9451 2022/08/09 12:50:47 - mmengine - INFO - Epoch(train) [45][500/1879] lr: 2.0000e-03 eta: 2:33:42 time: 0.8499 data_time: 0.0202 memory: 19726 grad_norm: 4.3581 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7069 loss: 0.7069 2022/08/09 12:51:04 - mmengine - INFO - Epoch(train) [45][520/1879] lr: 2.0000e-03 eta: 2:33:24 time: 0.8504 data_time: 0.0208 memory: 19726 grad_norm: 4.3138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8042 loss: 0.8042 2022/08/09 12:51:21 - mmengine - INFO - Epoch(train) [45][540/1879] lr: 2.0000e-03 eta: 2:33:07 time: 0.8489 data_time: 0.0190 memory: 19726 grad_norm: 4.5454 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8360 loss: 0.8360 2022/08/09 12:51:38 - mmengine - INFO - Epoch(train) [45][560/1879] lr: 2.0000e-03 eta: 2:32:50 time: 0.8564 data_time: 0.0195 memory: 19726 grad_norm: 4.5299 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8445 loss: 0.8445 2022/08/09 12:51:55 - mmengine - INFO - Epoch(train) [45][580/1879] lr: 2.0000e-03 eta: 2:32:33 time: 0.8474 data_time: 0.0183 memory: 19726 grad_norm: 4.2717 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7556 loss: 0.7556 2022/08/09 12:52:12 - mmengine - INFO - Epoch(train) [45][600/1879] lr: 2.0000e-03 eta: 2:32:16 time: 0.8483 data_time: 0.0196 memory: 19726 grad_norm: 4.3940 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8353 loss: 0.8353 2022/08/09 12:52:29 - mmengine - INFO - Epoch(train) [45][620/1879] lr: 2.0000e-03 eta: 2:31:59 time: 0.8515 data_time: 0.0198 memory: 19726 grad_norm: 4.4887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7689 loss: 0.7689 2022/08/09 12:52:46 - mmengine - INFO - Epoch(train) [45][640/1879] lr: 2.0000e-03 eta: 2:31:42 time: 0.8487 data_time: 0.0186 memory: 19726 grad_norm: 4.5630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7830 loss: 0.7830 2022/08/09 12:53:03 - mmengine - INFO - Epoch(train) [45][660/1879] lr: 2.0000e-03 eta: 2:31:25 time: 0.8520 data_time: 0.0194 memory: 19726 grad_norm: 4.4547 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6566 loss: 0.6566 2022/08/09 12:53:20 - mmengine - INFO - Epoch(train) [45][680/1879] lr: 2.0000e-03 eta: 2:31:07 time: 0.8565 data_time: 0.0201 memory: 19726 grad_norm: 4.4735 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7538 loss: 0.7538 2022/08/09 12:53:37 - mmengine - INFO - Epoch(train) [45][700/1879] lr: 2.0000e-03 eta: 2:30:50 time: 0.8522 data_time: 0.0203 memory: 19726 grad_norm: 4.3134 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7769 loss: 0.7769 2022/08/09 12:53:54 - mmengine - INFO - Epoch(train) [45][720/1879] lr: 2.0000e-03 eta: 2:30:33 time: 0.8526 data_time: 0.0202 memory: 19726 grad_norm: 4.4367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8038 loss: 0.8038 2022/08/09 12:54:11 - mmengine - INFO - Epoch(train) [45][740/1879] lr: 2.0000e-03 eta: 2:30:16 time: 0.8498 data_time: 0.0194 memory: 19726 grad_norm: 4.5124 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7195 loss: 0.7195 2022/08/09 12:54:29 - mmengine - INFO - Epoch(train) [45][760/1879] lr: 2.0000e-03 eta: 2:29:59 time: 0.8521 data_time: 0.0195 memory: 19726 grad_norm: 4.3822 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6320 loss: 0.6320 2022/08/09 12:54:46 - mmengine - INFO - Epoch(train) [45][780/1879] lr: 2.0000e-03 eta: 2:29:42 time: 0.8534 data_time: 0.0197 memory: 19726 grad_norm: 4.3467 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6434 loss: 0.6434 2022/08/09 12:55:03 - mmengine - INFO - Epoch(train) [45][800/1879] lr: 2.0000e-03 eta: 2:29:25 time: 0.8528 data_time: 0.0187 memory: 19726 grad_norm: 4.4182 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7885 loss: 0.7885 2022/08/09 12:55:20 - mmengine - INFO - Epoch(train) [45][820/1879] lr: 2.0000e-03 eta: 2:29:08 time: 0.8625 data_time: 0.0212 memory: 19726 grad_norm: 4.4746 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7690 loss: 0.7690 2022/08/09 12:55:37 - mmengine - INFO - Epoch(train) [45][840/1879] lr: 2.0000e-03 eta: 2:28:50 time: 0.8522 data_time: 0.0199 memory: 19726 grad_norm: 4.5004 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7708 loss: 0.7708 2022/08/09 12:55:54 - mmengine - INFO - Epoch(train) [45][860/1879] lr: 2.0000e-03 eta: 2:28:33 time: 0.8529 data_time: 0.0196 memory: 19726 grad_norm: 4.3748 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7349 loss: 0.7349 2022/08/09 12:56:11 - mmengine - INFO - Epoch(train) [45][880/1879] lr: 2.0000e-03 eta: 2:28:16 time: 0.8574 data_time: 0.0194 memory: 19726 grad_norm: 4.6136 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7617 loss: 0.7617 2022/08/09 12:56:28 - mmengine - INFO - Epoch(train) [45][900/1879] lr: 2.0000e-03 eta: 2:27:59 time: 0.8515 data_time: 0.0206 memory: 19726 grad_norm: 4.5543 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8075 loss: 0.8075 2022/08/09 12:56:45 - mmengine - INFO - Epoch(train) [45][920/1879] lr: 2.0000e-03 eta: 2:27:42 time: 0.8507 data_time: 0.0180 memory: 19726 grad_norm: 4.2844 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7744 loss: 0.7744 2022/08/09 12:57:02 - mmengine - INFO - Epoch(train) [45][940/1879] lr: 2.0000e-03 eta: 2:27:25 time: 0.8590 data_time: 0.0203 memory: 19726 grad_norm: 4.5004 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7799 loss: 0.7799 2022/08/09 12:57:20 - mmengine - INFO - Epoch(train) [45][960/1879] lr: 2.0000e-03 eta: 2:27:08 time: 0.8556 data_time: 0.0195 memory: 19726 grad_norm: 4.3688 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7203 loss: 0.7203 2022/08/09 12:57:37 - mmengine - INFO - Epoch(train) [45][980/1879] lr: 2.0000e-03 eta: 2:26:51 time: 0.8510 data_time: 0.0189 memory: 19726 grad_norm: 4.4311 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7185 loss: 0.7185 2022/08/09 12:57:54 - mmengine - INFO - Epoch(train) [45][1000/1879] lr: 2.0000e-03 eta: 2:26:33 time: 0.8645 data_time: 0.0190 memory: 19726 grad_norm: 4.5285 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6982 loss: 0.6982 2022/08/09 12:58:11 - mmengine - INFO - Epoch(train) [45][1020/1879] lr: 2.0000e-03 eta: 2:26:16 time: 0.8523 data_time: 0.0193 memory: 19726 grad_norm: 4.4696 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8045 loss: 0.8045 2022/08/09 12:58:28 - mmengine - INFO - Epoch(train) [45][1040/1879] lr: 2.0000e-03 eta: 2:25:59 time: 0.8604 data_time: 0.0197 memory: 19726 grad_norm: 4.5146 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7645 loss: 0.7645 2022/08/09 12:58:45 - mmengine - INFO - Epoch(train) [45][1060/1879] lr: 2.0000e-03 eta: 2:25:42 time: 0.8521 data_time: 0.0206 memory: 19726 grad_norm: 4.4703 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8665 loss: 0.8665 2022/08/09 12:59:03 - mmengine - INFO - Epoch(train) [45][1080/1879] lr: 2.0000e-03 eta: 2:25:25 time: 0.8628 data_time: 0.0196 memory: 19726 grad_norm: 4.5947 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7324 loss: 0.7324 2022/08/09 12:59:20 - mmengine - INFO - Epoch(train) [45][1100/1879] lr: 2.0000e-03 eta: 2:25:08 time: 0.8552 data_time: 0.0201 memory: 19726 grad_norm: 4.6050 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8600 loss: 0.8600 2022/08/09 12:59:37 - mmengine - INFO - Epoch(train) [45][1120/1879] lr: 2.0000e-03 eta: 2:24:51 time: 0.8534 data_time: 0.0198 memory: 19726 grad_norm: 4.5811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8307 loss: 0.8307 2022/08/09 12:59:54 - mmengine - INFO - Epoch(train) [45][1140/1879] lr: 2.0000e-03 eta: 2:24:34 time: 0.8489 data_time: 0.0188 memory: 19726 grad_norm: 4.4327 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6581 loss: 0.6581 2022/08/09 13:00:11 - mmengine - INFO - Epoch(train) [45][1160/1879] lr: 2.0000e-03 eta: 2:24:16 time: 0.8648 data_time: 0.0215 memory: 19726 grad_norm: 4.6763 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8209 loss: 0.8209 2022/08/09 13:00:28 - mmengine - INFO - Epoch(train) [45][1180/1879] lr: 2.0000e-03 eta: 2:23:59 time: 0.8602 data_time: 0.0218 memory: 19726 grad_norm: 4.4948 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8504 loss: 0.8504 2022/08/09 13:00:45 - mmengine - INFO - Epoch(train) [45][1200/1879] lr: 2.0000e-03 eta: 2:23:42 time: 0.8492 data_time: 0.0185 memory: 19726 grad_norm: 4.5831 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7767 loss: 0.7767 2022/08/09 13:01:02 - mmengine - INFO - Epoch(train) [45][1220/1879] lr: 2.0000e-03 eta: 2:23:25 time: 0.8492 data_time: 0.0196 memory: 19726 grad_norm: 4.5892 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8953 loss: 0.8953 2022/08/09 13:01:19 - mmengine - INFO - Epoch(train) [45][1240/1879] lr: 2.0000e-03 eta: 2:23:08 time: 0.8551 data_time: 0.0218 memory: 19726 grad_norm: 4.5164 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7322 loss: 0.7322 2022/08/09 13:01:36 - mmengine - INFO - Epoch(train) [45][1260/1879] lr: 2.0000e-03 eta: 2:22:51 time: 0.8531 data_time: 0.0200 memory: 19726 grad_norm: 4.3333 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7157 loss: 0.7157 2022/08/09 13:01:53 - mmengine - INFO - Epoch(train) [45][1280/1879] lr: 2.0000e-03 eta: 2:22:34 time: 0.8543 data_time: 0.0198 memory: 19726 grad_norm: 4.3371 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7023 loss: 0.7023 2022/08/09 13:02:10 - mmengine - INFO - Epoch(train) [45][1300/1879] lr: 2.0000e-03 eta: 2:22:17 time: 0.8495 data_time: 0.0197 memory: 19726 grad_norm: 4.2875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7357 loss: 0.7357 2022/08/09 13:02:27 - mmengine - INFO - Epoch(train) [45][1320/1879] lr: 2.0000e-03 eta: 2:21:59 time: 0.8511 data_time: 0.0192 memory: 19726 grad_norm: 4.5499 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7126 loss: 0.7126 2022/08/09 13:02:31 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 13:02:45 - mmengine - INFO - Epoch(train) [45][1340/1879] lr: 2.0000e-03 eta: 2:21:42 time: 0.8528 data_time: 0.0190 memory: 19726 grad_norm: 4.6610 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7976 loss: 0.7976 2022/08/09 13:03:02 - mmengine - INFO - Epoch(train) [45][1360/1879] lr: 2.0000e-03 eta: 2:21:25 time: 0.8541 data_time: 0.0189 memory: 19726 grad_norm: 4.5637 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7509 loss: 0.7509 2022/08/09 13:03:19 - mmengine - INFO - Epoch(train) [45][1380/1879] lr: 2.0000e-03 eta: 2:21:08 time: 0.8544 data_time: 0.0195 memory: 19726 grad_norm: 4.5838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7027 loss: 0.7027 2022/08/09 13:03:36 - mmengine - INFO - Epoch(train) [45][1400/1879] lr: 2.0000e-03 eta: 2:20:51 time: 0.8493 data_time: 0.0192 memory: 19726 grad_norm: 4.4162 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8724 loss: 0.8724 2022/08/09 13:03:53 - mmengine - INFO - Epoch(train) [45][1420/1879] lr: 2.0000e-03 eta: 2:20:34 time: 0.8558 data_time: 0.0198 memory: 19726 grad_norm: 4.5270 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6533 loss: 0.6533 2022/08/09 13:04:10 - mmengine - INFO - Epoch(train) [45][1440/1879] lr: 2.0000e-03 eta: 2:20:17 time: 0.8499 data_time: 0.0194 memory: 19726 grad_norm: 4.3667 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6531 loss: 0.6531 2022/08/09 13:04:27 - mmengine - INFO - Epoch(train) [45][1460/1879] lr: 2.0000e-03 eta: 2:20:00 time: 0.8511 data_time: 0.0204 memory: 19726 grad_norm: 4.4713 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8050 loss: 0.8050 2022/08/09 13:04:44 - mmengine - INFO - Epoch(train) [45][1480/1879] lr: 2.0000e-03 eta: 2:19:42 time: 0.8490 data_time: 0.0198 memory: 19726 grad_norm: 4.5871 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7376 loss: 0.7376 2022/08/09 13:05:01 - mmengine - INFO - Epoch(train) [45][1500/1879] lr: 2.0000e-03 eta: 2:19:25 time: 0.8498 data_time: 0.0192 memory: 19726 grad_norm: 4.5414 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7646 loss: 0.7646 2022/08/09 13:05:18 - mmengine - INFO - Epoch(train) [45][1520/1879] lr: 2.0000e-03 eta: 2:19:08 time: 0.8578 data_time: 0.0225 memory: 19726 grad_norm: 4.5089 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7414 loss: 0.7414 2022/08/09 13:05:35 - mmengine - INFO - Epoch(train) [45][1540/1879] lr: 2.0000e-03 eta: 2:18:51 time: 0.8524 data_time: 0.0184 memory: 19726 grad_norm: 4.7266 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/08/09 13:05:52 - mmengine - INFO - Epoch(train) [45][1560/1879] lr: 2.0000e-03 eta: 2:18:34 time: 0.8591 data_time: 0.0192 memory: 19726 grad_norm: 4.3261 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6493 loss: 0.6493 2022/08/09 13:06:09 - mmengine - INFO - Epoch(train) [45][1580/1879] lr: 2.0000e-03 eta: 2:18:17 time: 0.8524 data_time: 0.0202 memory: 19726 grad_norm: 4.4247 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6683 loss: 0.6683 2022/08/09 13:06:26 - mmengine - INFO - Epoch(train) [45][1600/1879] lr: 2.0000e-03 eta: 2:18:00 time: 0.8564 data_time: 0.0244 memory: 19726 grad_norm: 4.4801 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6030 loss: 0.6030 2022/08/09 13:06:44 - mmengine - INFO - Epoch(train) [45][1620/1879] lr: 2.0000e-03 eta: 2:17:43 time: 0.8511 data_time: 0.0199 memory: 19726 grad_norm: 4.4860 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7689 loss: 0.7689 2022/08/09 13:07:01 - mmengine - INFO - Epoch(train) [45][1640/1879] lr: 2.0000e-03 eta: 2:17:25 time: 0.8605 data_time: 0.0203 memory: 19726 grad_norm: 4.6348 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7517 loss: 0.7517 2022/08/09 13:07:18 - mmengine - INFO - Epoch(train) [45][1660/1879] lr: 2.0000e-03 eta: 2:17:08 time: 0.8516 data_time: 0.0190 memory: 19726 grad_norm: 4.5101 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7586 loss: 0.7586 2022/08/09 13:07:35 - mmengine - INFO - Epoch(train) [45][1680/1879] lr: 2.0000e-03 eta: 2:16:51 time: 0.8500 data_time: 0.0193 memory: 19726 grad_norm: 4.4197 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6922 loss: 0.6922 2022/08/09 13:07:52 - mmengine - INFO - Epoch(train) [45][1700/1879] lr: 2.0000e-03 eta: 2:16:34 time: 0.8668 data_time: 0.0194 memory: 19726 grad_norm: 4.4382 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7392 loss: 0.7392 2022/08/09 13:08:09 - mmengine - INFO - Epoch(train) [45][1720/1879] lr: 2.0000e-03 eta: 2:16:17 time: 0.8551 data_time: 0.0213 memory: 19726 grad_norm: 4.4154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8128 loss: 0.8128 2022/08/09 13:08:27 - mmengine - INFO - Epoch(train) [45][1740/1879] lr: 2.0000e-03 eta: 2:16:00 time: 0.8645 data_time: 0.0276 memory: 19726 grad_norm: 4.5858 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7769 loss: 0.7769 2022/08/09 13:08:44 - mmengine - INFO - Epoch(train) [45][1760/1879] lr: 2.0000e-03 eta: 2:15:43 time: 0.8529 data_time: 0.0191 memory: 19726 grad_norm: 4.6238 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7957 loss: 0.7957 2022/08/09 13:09:01 - mmengine - INFO - Epoch(train) [45][1780/1879] lr: 2.0000e-03 eta: 2:15:26 time: 0.8549 data_time: 0.0186 memory: 19726 grad_norm: 4.5584 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7069 loss: 0.7069 2022/08/09 13:09:18 - mmengine - INFO - Epoch(train) [45][1800/1879] lr: 2.0000e-03 eta: 2:15:09 time: 0.8491 data_time: 0.0188 memory: 19726 grad_norm: 4.6600 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8450 loss: 0.8450 2022/08/09 13:09:35 - mmengine - INFO - Epoch(train) [45][1820/1879] lr: 2.0000e-03 eta: 2:14:51 time: 0.8487 data_time: 0.0188 memory: 19726 grad_norm: 4.5025 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8142 loss: 0.8142 2022/08/09 13:09:52 - mmengine - INFO - Epoch(train) [45][1840/1879] lr: 2.0000e-03 eta: 2:14:34 time: 0.8556 data_time: 0.0186 memory: 19726 grad_norm: 4.5729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7072 loss: 0.7072 2022/08/09 13:10:09 - mmengine - INFO - Epoch(train) [45][1860/1879] lr: 2.0000e-03 eta: 2:14:17 time: 0.8534 data_time: 0.0204 memory: 19726 grad_norm: 4.4608 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8359 loss: 0.8359 2022/08/09 13:10:25 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 13:10:25 - mmengine - INFO - Epoch(train) [45][1879/1879] lr: 2.0000e-03 eta: 2:14:17 time: 0.8466 data_time: 0.0205 memory: 19726 grad_norm: 4.6937 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.7529 loss: 0.7529 2022/08/09 13:10:25 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/09 13:10:42 - mmengine - INFO - Epoch(val) [45][20/155] eta: 0:01:36 time: 0.7162 data_time: 0.4757 memory: 2699 2022/08/09 13:10:51 - mmengine - INFO - Epoch(val) [45][40/155] eta: 0:00:51 time: 0.4493 data_time: 0.2097 memory: 2699 2022/08/09 13:11:03 - mmengine - INFO - Epoch(val) [45][60/155] eta: 0:00:58 time: 0.6192 data_time: 0.3808 memory: 2699 2022/08/09 13:11:15 - mmengine - INFO - Epoch(val) [45][80/155] eta: 0:00:42 time: 0.5691 data_time: 0.3301 memory: 2699 2022/08/09 13:11:27 - mmengine - INFO - Epoch(val) [45][100/155] eta: 0:00:34 time: 0.6304 data_time: 0.3933 memory: 2699 2022/08/09 13:11:38 - mmengine - INFO - Epoch(val) [45][120/155] eta: 0:00:19 time: 0.5518 data_time: 0.3136 memory: 2699 2022/08/09 13:11:49 - mmengine - INFO - Epoch(val) [45][140/155] eta: 0:00:08 time: 0.5368 data_time: 0.2988 memory: 2699 2022/08/09 13:11:56 - mmengine - INFO - Epoch(val) [45][155/155] acc/top1: 0.7218 acc/top5: 0.9035 acc/mean1: 0.7217 2022/08/09 13:12:18 - mmengine - INFO - Epoch(train) [46][20/1879] lr: 2.0000e-04 eta: 2:13:42 time: 1.0765 data_time: 0.1925 memory: 19726 grad_norm: 4.4109 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6581 loss: 0.6581 2022/08/09 13:12:35 - mmengine - INFO - Epoch(train) [46][40/1879] lr: 2.0000e-04 eta: 2:13:25 time: 0.8508 data_time: 0.0186 memory: 19726 grad_norm: 4.4200 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6631 loss: 0.6631 2022/08/09 13:12:52 - mmengine - INFO - Epoch(train) [46][60/1879] lr: 2.0000e-04 eta: 2:13:08 time: 0.8645 data_time: 0.0257 memory: 19726 grad_norm: 4.4255 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6787 loss: 0.6787 2022/08/09 13:13:10 - mmengine - INFO - Epoch(train) [46][80/1879] lr: 2.0000e-04 eta: 2:12:51 time: 0.8533 data_time: 0.0194 memory: 19726 grad_norm: 4.4886 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8554 loss: 0.8554 2022/08/09 13:13:27 - mmengine - INFO - Epoch(train) [46][100/1879] lr: 2.0000e-04 eta: 2:12:34 time: 0.8510 data_time: 0.0202 memory: 19726 grad_norm: 4.5225 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7175 loss: 0.7175 2022/08/09 13:13:44 - mmengine - INFO - Epoch(train) [46][120/1879] lr: 2.0000e-04 eta: 2:12:17 time: 0.8555 data_time: 0.0189 memory: 19726 grad_norm: 4.3384 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5873 loss: 0.5873 2022/08/09 13:14:01 - mmengine - INFO - Epoch(train) [46][140/1879] lr: 2.0000e-04 eta: 2:12:00 time: 0.8561 data_time: 0.0205 memory: 19726 grad_norm: 4.4644 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8285 loss: 0.8285 2022/08/09 13:14:18 - mmengine - INFO - Epoch(train) [46][160/1879] lr: 2.0000e-04 eta: 2:11:43 time: 0.8547 data_time: 0.0188 memory: 19726 grad_norm: 4.3810 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8394 loss: 0.8394 2022/08/09 13:14:35 - mmengine - INFO - Epoch(train) [46][180/1879] lr: 2.0000e-04 eta: 2:11:26 time: 0.8502 data_time: 0.0187 memory: 19726 grad_norm: 4.4349 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7055 loss: 0.7055 2022/08/09 13:14:52 - mmengine - INFO - Epoch(train) [46][200/1879] lr: 2.0000e-04 eta: 2:11:08 time: 0.8557 data_time: 0.0197 memory: 19726 grad_norm: 4.3918 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7882 loss: 0.7882 2022/08/09 13:15:09 - mmengine - INFO - Epoch(train) [46][220/1879] lr: 2.0000e-04 eta: 2:10:51 time: 0.8613 data_time: 0.0213 memory: 19726 grad_norm: 4.4445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6918 loss: 0.6918 2022/08/09 13:15:26 - mmengine - INFO - Epoch(train) [46][240/1879] lr: 2.0000e-04 eta: 2:10:34 time: 0.8557 data_time: 0.0197 memory: 19726 grad_norm: 4.3891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7625 loss: 0.7625 2022/08/09 13:15:43 - mmengine - INFO - Epoch(train) [46][260/1879] lr: 2.0000e-04 eta: 2:10:17 time: 0.8528 data_time: 0.0191 memory: 19726 grad_norm: 4.4772 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7045 loss: 0.7045 2022/08/09 13:16:01 - mmengine - INFO - Epoch(train) [46][280/1879] lr: 2.0000e-04 eta: 2:10:00 time: 0.8751 data_time: 0.0209 memory: 19726 grad_norm: 4.5411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0318 loss: 1.0318 2022/08/09 13:16:18 - mmengine - INFO - Epoch(train) [46][300/1879] lr: 2.0000e-04 eta: 2:09:43 time: 0.8603 data_time: 0.0179 memory: 19726 grad_norm: 4.4714 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7154 loss: 0.7154 2022/08/09 13:16:35 - mmengine - INFO - Epoch(train) [46][320/1879] lr: 2.0000e-04 eta: 2:09:26 time: 0.8516 data_time: 0.0192 memory: 19726 grad_norm: 4.3953 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6835 loss: 0.6835 2022/08/09 13:16:52 - mmengine - INFO - Epoch(train) [46][340/1879] lr: 2.0000e-04 eta: 2:09:09 time: 0.8592 data_time: 0.0198 memory: 19726 grad_norm: 4.3508 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5968 loss: 0.5968 2022/08/09 13:17:09 - mmengine - INFO - Epoch(train) [46][360/1879] lr: 2.0000e-04 eta: 2:08:52 time: 0.8495 data_time: 0.0200 memory: 19726 grad_norm: 4.3923 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7123 loss: 0.7123 2022/08/09 13:17:27 - mmengine - INFO - Epoch(train) [46][380/1879] lr: 2.0000e-04 eta: 2:08:34 time: 0.8547 data_time: 0.0188 memory: 19726 grad_norm: 4.4147 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8010 loss: 0.8010 2022/08/09 13:17:44 - mmengine - INFO - Epoch(train) [46][400/1879] lr: 2.0000e-04 eta: 2:08:17 time: 0.8509 data_time: 0.0193 memory: 19726 grad_norm: 4.4125 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7561 loss: 0.7561 2022/08/09 13:18:01 - mmengine - INFO - Epoch(train) [46][420/1879] lr: 2.0000e-04 eta: 2:08:00 time: 0.8598 data_time: 0.0201 memory: 19726 grad_norm: 4.4602 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8057 loss: 0.8057 2022/08/09 13:18:18 - mmengine - INFO - Epoch(train) [46][440/1879] lr: 2.0000e-04 eta: 2:07:43 time: 0.8507 data_time: 0.0210 memory: 19726 grad_norm: 4.3999 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6614 loss: 0.6614 2022/08/09 13:18:22 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 13:18:35 - mmengine - INFO - Epoch(train) [46][460/1879] lr: 2.0000e-04 eta: 2:07:26 time: 0.8540 data_time: 0.0188 memory: 19726 grad_norm: 4.4690 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6895 loss: 0.6895 2022/08/09 13:18:52 - mmengine - INFO - Epoch(train) [46][480/1879] lr: 2.0000e-04 eta: 2:07:09 time: 0.8517 data_time: 0.0195 memory: 19726 grad_norm: 4.3383 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6566 loss: 0.6566 2022/08/09 13:19:09 - mmengine - INFO - Epoch(train) [46][500/1879] lr: 2.0000e-04 eta: 2:06:52 time: 0.8596 data_time: 0.0183 memory: 19726 grad_norm: 4.3582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7112 loss: 0.7112 2022/08/09 13:19:26 - mmengine - INFO - Epoch(train) [46][520/1879] lr: 2.0000e-04 eta: 2:06:35 time: 0.8522 data_time: 0.0191 memory: 19726 grad_norm: 4.4337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6247 loss: 0.6247 2022/08/09 13:19:43 - mmengine - INFO - Epoch(train) [46][540/1879] lr: 2.0000e-04 eta: 2:06:17 time: 0.8499 data_time: 0.0184 memory: 19726 grad_norm: 4.4034 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7401 loss: 0.7401 2022/08/09 13:20:01 - mmengine - INFO - Epoch(train) [46][560/1879] lr: 2.0000e-04 eta: 2:06:00 time: 0.8667 data_time: 0.0283 memory: 19726 grad_norm: 4.3143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6446 loss: 0.6446 2022/08/09 13:20:18 - mmengine - INFO - Epoch(train) [46][580/1879] lr: 2.0000e-04 eta: 2:05:43 time: 0.8579 data_time: 0.0207 memory: 19726 grad_norm: 4.3278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8466 loss: 0.8466 2022/08/09 13:20:35 - mmengine - INFO - Epoch(train) [46][600/1879] lr: 2.0000e-04 eta: 2:05:26 time: 0.8518 data_time: 0.0197 memory: 19726 grad_norm: 4.3139 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6811 loss: 0.6811 2022/08/09 13:20:52 - mmengine - INFO - Epoch(train) [46][620/1879] lr: 2.0000e-04 eta: 2:05:09 time: 0.8580 data_time: 0.0199 memory: 19726 grad_norm: 4.4016 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7317 loss: 0.7317 2022/08/09 13:21:09 - mmengine - INFO - Epoch(train) [46][640/1879] lr: 2.0000e-04 eta: 2:04:52 time: 0.8493 data_time: 0.0186 memory: 19726 grad_norm: 4.4318 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7976 loss: 0.7976 2022/08/09 13:21:26 - mmengine - INFO - Epoch(train) [46][660/1879] lr: 2.0000e-04 eta: 2:04:35 time: 0.8502 data_time: 0.0189 memory: 19726 grad_norm: 4.4131 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7619 loss: 0.7619 2022/08/09 13:21:43 - mmengine - INFO - Epoch(train) [46][680/1879] lr: 2.0000e-04 eta: 2:04:18 time: 0.8546 data_time: 0.0211 memory: 19726 grad_norm: 4.3991 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6048 loss: 0.6048 2022/08/09 13:22:00 - mmengine - INFO - Epoch(train) [46][700/1879] lr: 2.0000e-04 eta: 2:04:01 time: 0.8523 data_time: 0.0201 memory: 19726 grad_norm: 4.4954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6440 loss: 0.6440 2022/08/09 13:22:17 - mmengine - INFO - Epoch(train) [46][720/1879] lr: 2.0000e-04 eta: 2:03:43 time: 0.8567 data_time: 0.0201 memory: 19726 grad_norm: 4.4140 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6210 loss: 0.6210 2022/08/09 13:22:34 - mmengine - INFO - Epoch(train) [46][740/1879] lr: 2.0000e-04 eta: 2:03:26 time: 0.8507 data_time: 0.0196 memory: 19726 grad_norm: 4.4677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7845 loss: 0.7845 2022/08/09 13:22:51 - mmengine - INFO - Epoch(train) [46][760/1879] lr: 2.0000e-04 eta: 2:03:09 time: 0.8586 data_time: 0.0205 memory: 19726 grad_norm: 4.4598 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6713 loss: 0.6713 2022/08/09 13:23:08 - mmengine - INFO - Epoch(train) [46][780/1879] lr: 2.0000e-04 eta: 2:02:52 time: 0.8494 data_time: 0.0187 memory: 19726 grad_norm: 4.3038 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8445 loss: 0.8445 2022/08/09 13:23:26 - mmengine - INFO - Epoch(train) [46][800/1879] lr: 2.0000e-04 eta: 2:02:35 time: 0.8540 data_time: 0.0197 memory: 19726 grad_norm: 4.2577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6479 loss: 0.6479 2022/08/09 13:23:43 - mmengine - INFO - Epoch(train) [46][820/1879] lr: 2.0000e-04 eta: 2:02:18 time: 0.8532 data_time: 0.0201 memory: 19726 grad_norm: 4.3161 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7481 loss: 0.7481 2022/08/09 13:24:00 - mmengine - INFO - Epoch(train) [46][840/1879] lr: 2.0000e-04 eta: 2:02:01 time: 0.8565 data_time: 0.0194 memory: 19726 grad_norm: 4.3871 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7115 loss: 0.7115 2022/08/09 13:24:17 - mmengine - INFO - Epoch(train) [46][860/1879] lr: 2.0000e-04 eta: 2:01:44 time: 0.8631 data_time: 0.0276 memory: 19726 grad_norm: 4.3684 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7745 loss: 0.7745 2022/08/09 13:24:34 - mmengine - INFO - Epoch(train) [46][880/1879] lr: 2.0000e-04 eta: 2:01:26 time: 0.8574 data_time: 0.0195 memory: 19726 grad_norm: 4.2447 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7908 loss: 0.7908 2022/08/09 13:24:51 - mmengine - INFO - Epoch(train) [46][900/1879] lr: 2.0000e-04 eta: 2:01:09 time: 0.8600 data_time: 0.0199 memory: 19726 grad_norm: 4.4886 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7005 loss: 0.7005 2022/08/09 13:25:08 - mmengine - INFO - Epoch(train) [46][920/1879] lr: 2.0000e-04 eta: 2:00:52 time: 0.8517 data_time: 0.0189 memory: 19726 grad_norm: 4.4665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7281 loss: 0.7281 2022/08/09 13:25:25 - mmengine - INFO - Epoch(train) [46][940/1879] lr: 2.0000e-04 eta: 2:00:35 time: 0.8539 data_time: 0.0201 memory: 19726 grad_norm: 4.2730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7619 loss: 0.7619 2022/08/09 13:25:43 - mmengine - INFO - Epoch(train) [46][960/1879] lr: 2.0000e-04 eta: 2:00:18 time: 0.8610 data_time: 0.0259 memory: 19726 grad_norm: 4.5129 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7068 loss: 0.7068 2022/08/09 13:26:00 - mmengine - INFO - Epoch(train) [46][980/1879] lr: 2.0000e-04 eta: 2:00:01 time: 0.8560 data_time: 0.0206 memory: 19726 grad_norm: 4.3452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9268 loss: 0.9268 2022/08/09 13:26:17 - mmengine - INFO - Epoch(train) [46][1000/1879] lr: 2.0000e-04 eta: 1:59:44 time: 0.8529 data_time: 0.0208 memory: 19726 grad_norm: 4.5470 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8023 loss: 0.8023 2022/08/09 13:26:34 - mmengine - INFO - Epoch(train) [46][1020/1879] lr: 2.0000e-04 eta: 1:59:27 time: 0.8613 data_time: 0.0188 memory: 19726 grad_norm: 4.2846 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.7133 loss: 0.7133 2022/08/09 13:26:51 - mmengine - INFO - Epoch(train) [46][1040/1879] lr: 2.0000e-04 eta: 1:59:10 time: 0.8528 data_time: 0.0194 memory: 19726 grad_norm: 4.4057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6588 loss: 0.6588 2022/08/09 13:27:08 - mmengine - INFO - Epoch(train) [46][1060/1879] lr: 2.0000e-04 eta: 1:58:52 time: 0.8513 data_time: 0.0189 memory: 19726 grad_norm: 4.3354 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7692 loss: 0.7692 2022/08/09 13:27:25 - mmengine - INFO - Epoch(train) [46][1080/1879] lr: 2.0000e-04 eta: 1:58:35 time: 0.8594 data_time: 0.0247 memory: 19726 grad_norm: 4.4195 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.5964 loss: 0.5964 2022/08/09 13:27:43 - mmengine - INFO - Epoch(train) [46][1100/1879] lr: 2.0000e-04 eta: 1:58:18 time: 0.8589 data_time: 0.0199 memory: 19726 grad_norm: 4.4034 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7693 loss: 0.7693 2022/08/09 13:28:00 - mmengine - INFO - Epoch(train) [46][1120/1879] lr: 2.0000e-04 eta: 1:58:01 time: 0.8579 data_time: 0.0202 memory: 19726 grad_norm: 4.4109 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6991 loss: 0.6991 2022/08/09 13:28:17 - mmengine - INFO - Epoch(train) [46][1140/1879] lr: 2.0000e-04 eta: 1:57:44 time: 0.8544 data_time: 0.0204 memory: 19726 grad_norm: 4.3718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8041 loss: 0.8041 2022/08/09 13:28:34 - mmengine - INFO - Epoch(train) [46][1160/1879] lr: 2.0000e-04 eta: 1:57:27 time: 0.8505 data_time: 0.0192 memory: 19726 grad_norm: 4.3805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6126 loss: 0.6126 2022/08/09 13:28:51 - mmengine - INFO - Epoch(train) [46][1180/1879] lr: 2.0000e-04 eta: 1:57:10 time: 0.8583 data_time: 0.0198 memory: 19726 grad_norm: 4.3012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8106 loss: 0.8106 2022/08/09 13:29:08 - mmengine - INFO - Epoch(train) [46][1200/1879] lr: 2.0000e-04 eta: 1:56:53 time: 0.8503 data_time: 0.0182 memory: 19726 grad_norm: 4.5697 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7328 loss: 0.7328 2022/08/09 13:29:25 - mmengine - INFO - Epoch(train) [46][1220/1879] lr: 2.0000e-04 eta: 1:56:36 time: 0.8611 data_time: 0.0198 memory: 19726 grad_norm: 4.4183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6460 loss: 0.6460 2022/08/09 13:29:43 - mmengine - INFO - Epoch(train) [46][1240/1879] lr: 2.0000e-04 eta: 1:56:18 time: 0.8589 data_time: 0.0262 memory: 19726 grad_norm: 4.4409 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7962 loss: 0.7962 2022/08/09 13:30:00 - mmengine - INFO - Epoch(train) [46][1260/1879] lr: 2.0000e-04 eta: 1:56:01 time: 0.8528 data_time: 0.0198 memory: 19726 grad_norm: 4.2731 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7083 loss: 0.7083 2022/08/09 13:30:17 - mmengine - INFO - Epoch(train) [46][1280/1879] lr: 2.0000e-04 eta: 1:55:44 time: 0.8551 data_time: 0.0206 memory: 19726 grad_norm: 4.4499 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7716 loss: 0.7716 2022/08/09 13:30:34 - mmengine - INFO - Epoch(train) [46][1300/1879] lr: 2.0000e-04 eta: 1:55:27 time: 0.8535 data_time: 0.0192 memory: 19726 grad_norm: 4.2631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7440 loss: 0.7440 2022/08/09 13:30:51 - mmengine - INFO - Epoch(train) [46][1320/1879] lr: 2.0000e-04 eta: 1:55:10 time: 0.8551 data_time: 0.0206 memory: 19726 grad_norm: 4.5981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8204 loss: 0.8204 2022/08/09 13:31:08 - mmengine - INFO - Epoch(train) [46][1340/1879] lr: 2.0000e-04 eta: 1:54:53 time: 0.8534 data_time: 0.0189 memory: 19726 grad_norm: 4.3375 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8011 loss: 0.8011 2022/08/09 13:31:25 - mmengine - INFO - Epoch(train) [46][1360/1879] lr: 2.0000e-04 eta: 1:54:36 time: 0.8519 data_time: 0.0191 memory: 19726 grad_norm: 4.3268 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8453 loss: 0.8453 2022/08/09 13:31:42 - mmengine - INFO - Epoch(train) [46][1380/1879] lr: 2.0000e-04 eta: 1:54:19 time: 0.8617 data_time: 0.0202 memory: 19726 grad_norm: 4.2610 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6907 loss: 0.6907 2022/08/09 13:31:59 - mmengine - INFO - Epoch(train) [46][1400/1879] lr: 2.0000e-04 eta: 1:54:01 time: 0.8494 data_time: 0.0200 memory: 19726 grad_norm: 4.5233 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7051 loss: 0.7051 2022/08/09 13:32:16 - mmengine - INFO - Epoch(train) [46][1420/1879] lr: 2.0000e-04 eta: 1:53:44 time: 0.8499 data_time: 0.0207 memory: 19726 grad_norm: 4.4348 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7865 loss: 0.7865 2022/08/09 13:32:33 - mmengine - INFO - Epoch(train) [46][1440/1879] lr: 2.0000e-04 eta: 1:53:27 time: 0.8522 data_time: 0.0188 memory: 19726 grad_norm: 4.5866 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8054 loss: 0.8054 2022/08/09 13:32:38 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 13:32:50 - mmengine - INFO - Epoch(train) [46][1460/1879] lr: 2.0000e-04 eta: 1:53:10 time: 0.8578 data_time: 0.0191 memory: 19726 grad_norm: 4.4061 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.6378 loss: 0.6378 2022/08/09 13:33:07 - mmengine - INFO - Epoch(train) [46][1480/1879] lr: 2.0000e-04 eta: 1:52:53 time: 0.8497 data_time: 0.0193 memory: 19726 grad_norm: 4.4056 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6766 loss: 0.6766 2022/08/09 13:33:25 - mmengine - INFO - Epoch(train) [46][1500/1879] lr: 2.0000e-04 eta: 1:52:36 time: 0.8607 data_time: 0.0199 memory: 19726 grad_norm: 4.4847 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7402 loss: 0.7402 2022/08/09 13:33:42 - mmengine - INFO - Epoch(train) [46][1520/1879] lr: 2.0000e-04 eta: 1:52:19 time: 0.8514 data_time: 0.0197 memory: 19726 grad_norm: 4.3883 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8457 loss: 0.8457 2022/08/09 13:33:59 - mmengine - INFO - Epoch(train) [46][1540/1879] lr: 2.0000e-04 eta: 1:52:02 time: 0.8501 data_time: 0.0196 memory: 19726 grad_norm: 4.3548 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6513 loss: 0.6513 2022/08/09 13:34:16 - mmengine - INFO - Epoch(train) [46][1560/1879] lr: 2.0000e-04 eta: 1:51:44 time: 0.8508 data_time: 0.0194 memory: 19726 grad_norm: 4.3907 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8164 loss: 0.8164 2022/08/09 13:34:33 - mmengine - INFO - Epoch(train) [46][1580/1879] lr: 2.0000e-04 eta: 1:51:27 time: 0.8575 data_time: 0.0252 memory: 19726 grad_norm: 4.2564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6592 loss: 0.6592 2022/08/09 13:34:50 - mmengine - INFO - Epoch(train) [46][1600/1879] lr: 2.0000e-04 eta: 1:51:10 time: 0.8612 data_time: 0.0250 memory: 19726 grad_norm: 4.4423 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8452 loss: 0.8452 2022/08/09 13:35:07 - mmengine - INFO - Epoch(train) [46][1620/1879] lr: 2.0000e-04 eta: 1:50:53 time: 0.8518 data_time: 0.0189 memory: 19726 grad_norm: 4.3174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7891 loss: 0.7891 2022/08/09 13:35:25 - mmengine - INFO - Epoch(train) [46][1640/1879] lr: 2.0000e-04 eta: 1:50:36 time: 0.8655 data_time: 0.0231 memory: 19726 grad_norm: 4.3726 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8394 loss: 0.8394 2022/08/09 13:35:42 - mmengine - INFO - Epoch(train) [46][1660/1879] lr: 2.0000e-04 eta: 1:50:19 time: 0.8526 data_time: 0.0190 memory: 19726 grad_norm: 4.3742 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7093 loss: 0.7093 2022/08/09 13:35:59 - mmengine - INFO - Epoch(train) [46][1680/1879] lr: 2.0000e-04 eta: 1:50:02 time: 0.8509 data_time: 0.0192 memory: 19726 grad_norm: 4.5060 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7885 loss: 0.7885 2022/08/09 13:36:16 - mmengine - INFO - Epoch(train) [46][1700/1879] lr: 2.0000e-04 eta: 1:49:45 time: 0.8572 data_time: 0.0196 memory: 19726 grad_norm: 4.2968 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6346 loss: 0.6346 2022/08/09 13:36:33 - mmengine - INFO - Epoch(train) [46][1720/1879] lr: 2.0000e-04 eta: 1:49:28 time: 0.8547 data_time: 0.0199 memory: 19726 grad_norm: 4.3939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6396 loss: 0.6396 2022/08/09 13:36:50 - mmengine - INFO - Epoch(train) [46][1740/1879] lr: 2.0000e-04 eta: 1:49:10 time: 0.8516 data_time: 0.0193 memory: 19726 grad_norm: 4.4507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6895 loss: 0.6895 2022/08/09 13:37:07 - mmengine - INFO - Epoch(train) [46][1760/1879] lr: 2.0000e-04 eta: 1:48:53 time: 0.8598 data_time: 0.0221 memory: 19726 grad_norm: 4.5649 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7835 loss: 0.7835 2022/08/09 13:37:24 - mmengine - INFO - Epoch(train) [46][1780/1879] lr: 2.0000e-04 eta: 1:48:36 time: 0.8547 data_time: 0.0193 memory: 19726 grad_norm: 4.3775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6776 loss: 0.6776 2022/08/09 13:37:41 - mmengine - INFO - Epoch(train) [46][1800/1879] lr: 2.0000e-04 eta: 1:48:19 time: 0.8510 data_time: 0.0203 memory: 19726 grad_norm: 4.4835 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6492 loss: 0.6492 2022/08/09 13:37:58 - mmengine - INFO - Epoch(train) [46][1820/1879] lr: 2.0000e-04 eta: 1:48:02 time: 0.8502 data_time: 0.0188 memory: 19726 grad_norm: 4.4137 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6803 loss: 0.6803 2022/08/09 13:38:15 - mmengine - INFO - Epoch(train) [46][1840/1879] lr: 2.0000e-04 eta: 1:47:45 time: 0.8551 data_time: 0.0195 memory: 19726 grad_norm: 4.3746 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7021 loss: 0.7021 2022/08/09 13:38:32 - mmengine - INFO - Epoch(train) [46][1860/1879] lr: 2.0000e-04 eta: 1:47:28 time: 0.8524 data_time: 0.0198 memory: 19726 grad_norm: 4.4919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8171 loss: 0.8171 2022/08/09 13:38:49 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 13:38:49 - mmengine - INFO - Epoch(train) [46][1879/1879] lr: 2.0000e-04 eta: 1:47:28 time: 0.8527 data_time: 0.0203 memory: 19726 grad_norm: 4.4069 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.6987 loss: 0.6987 2022/08/09 13:39:04 - mmengine - INFO - Epoch(val) [46][20/155] eta: 0:01:42 time: 0.7585 data_time: 0.5166 memory: 2699 2022/08/09 13:39:13 - mmengine - INFO - Epoch(val) [46][40/155] eta: 0:00:51 time: 0.4439 data_time: 0.2046 memory: 2699 2022/08/09 13:39:25 - mmengine - INFO - Epoch(val) [46][60/155] eta: 0:00:59 time: 0.6284 data_time: 0.3861 memory: 2699 2022/08/09 13:39:34 - mmengine - INFO - Epoch(val) [46][80/155] eta: 0:00:33 time: 0.4510 data_time: 0.2105 memory: 2699 2022/08/09 13:39:47 - mmengine - INFO - Epoch(val) [46][100/155] eta: 0:00:34 time: 0.6359 data_time: 0.3972 memory: 2699 2022/08/09 13:39:57 - mmengine - INFO - Epoch(val) [46][120/155] eta: 0:00:17 time: 0.4962 data_time: 0.2567 memory: 2699 2022/08/09 13:40:10 - mmengine - INFO - Epoch(val) [46][140/155] eta: 0:00:10 time: 0.6696 data_time: 0.4272 memory: 2699 2022/08/09 13:40:18 - mmengine - INFO - Epoch(val) [46][155/155] acc/top1: 0.7251 acc/top5: 0.9067 acc/mean1: 0.7250 2022/08/09 13:40:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_45.pth is removed 2022/08/09 13:40:20 - mmengine - INFO - The best checkpoint with 0.7251 acc/top1 at 47 epoch is saved to best_acc/top1_epoch_47.pth. 2022/08/09 13:40:41 - mmengine - INFO - Epoch(train) [47][20/1879] lr: 2.0000e-04 eta: 1:46:53 time: 1.0687 data_time: 0.2231 memory: 19726 grad_norm: 4.4543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8596 loss: 0.8596 2022/08/09 13:40:58 - mmengine - INFO - Epoch(train) [47][40/1879] lr: 2.0000e-04 eta: 1:46:36 time: 0.8455 data_time: 0.0186 memory: 19726 grad_norm: 4.3338 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6939 loss: 0.6939 2022/08/09 13:41:16 - mmengine - INFO - Epoch(train) [47][60/1879] lr: 2.0000e-04 eta: 1:46:19 time: 0.8584 data_time: 0.0203 memory: 19726 grad_norm: 4.3507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6156 loss: 0.6156 2022/08/09 13:41:33 - mmengine - INFO - Epoch(train) [47][80/1879] lr: 2.0000e-04 eta: 1:46:02 time: 0.8502 data_time: 0.0193 memory: 19726 grad_norm: 4.2915 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.6173 loss: 0.6173 2022/08/09 13:41:50 - mmengine - INFO - Epoch(train) [47][100/1879] lr: 2.0000e-04 eta: 1:45:45 time: 0.8538 data_time: 0.0196 memory: 19726 grad_norm: 4.4556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7505 loss: 0.7505 2022/08/09 13:42:07 - mmengine - INFO - Epoch(train) [47][120/1879] lr: 2.0000e-04 eta: 1:45:28 time: 0.8572 data_time: 0.0197 memory: 19726 grad_norm: 4.2784 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5688 loss: 0.5688 2022/08/09 13:42:24 - mmengine - INFO - Epoch(train) [47][140/1879] lr: 2.0000e-04 eta: 1:45:11 time: 0.8625 data_time: 0.0205 memory: 19726 grad_norm: 4.3486 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6831 loss: 0.6831 2022/08/09 13:42:41 - mmengine - INFO - Epoch(train) [47][160/1879] lr: 2.0000e-04 eta: 1:44:54 time: 0.8499 data_time: 0.0189 memory: 19726 grad_norm: 4.3382 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6953 loss: 0.6953 2022/08/09 13:42:58 - mmengine - INFO - Epoch(train) [47][180/1879] lr: 2.0000e-04 eta: 1:44:36 time: 0.8503 data_time: 0.0185 memory: 19726 grad_norm: 4.2385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5576 loss: 0.5576 2022/08/09 13:43:15 - mmengine - INFO - Epoch(train) [47][200/1879] lr: 2.0000e-04 eta: 1:44:19 time: 0.8597 data_time: 0.0205 memory: 19726 grad_norm: 4.5356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9002 loss: 0.9002 2022/08/09 13:43:33 - mmengine - INFO - Epoch(train) [47][220/1879] lr: 2.0000e-04 eta: 1:44:02 time: 0.8620 data_time: 0.0203 memory: 19726 grad_norm: 4.3982 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7400 loss: 0.7400 2022/08/09 13:43:50 - mmengine - INFO - Epoch(train) [47][240/1879] lr: 2.0000e-04 eta: 1:43:45 time: 0.8521 data_time: 0.0192 memory: 19726 grad_norm: 4.3999 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5873 loss: 0.5873 2022/08/09 13:44:07 - mmengine - INFO - Epoch(train) [47][260/1879] lr: 2.0000e-04 eta: 1:43:28 time: 0.8536 data_time: 0.0201 memory: 19726 grad_norm: 4.3600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6481 loss: 0.6481 2022/08/09 13:44:24 - mmengine - INFO - Epoch(train) [47][280/1879] lr: 2.0000e-04 eta: 1:43:11 time: 0.8549 data_time: 0.0215 memory: 19726 grad_norm: 4.3625 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7935 loss: 0.7935 2022/08/09 13:44:41 - mmengine - INFO - Epoch(train) [47][300/1879] lr: 2.0000e-04 eta: 1:42:54 time: 0.8516 data_time: 0.0201 memory: 19726 grad_norm: 4.4851 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8168 loss: 0.8168 2022/08/09 13:44:58 - mmengine - INFO - Epoch(train) [47][320/1879] lr: 2.0000e-04 eta: 1:42:37 time: 0.8514 data_time: 0.0198 memory: 19726 grad_norm: 4.4830 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8640 loss: 0.8640 2022/08/09 13:45:15 - mmengine - INFO - Epoch(train) [47][340/1879] lr: 2.0000e-04 eta: 1:42:19 time: 0.8549 data_time: 0.0203 memory: 19726 grad_norm: 4.3543 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7713 loss: 0.7713 2022/08/09 13:45:32 - mmengine - INFO - Epoch(train) [47][360/1879] lr: 2.0000e-04 eta: 1:42:02 time: 0.8544 data_time: 0.0192 memory: 19726 grad_norm: 4.4979 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7245 loss: 0.7245 2022/08/09 13:45:49 - mmengine - INFO - Epoch(train) [47][380/1879] lr: 2.0000e-04 eta: 1:41:45 time: 0.8491 data_time: 0.0188 memory: 19726 grad_norm: 4.5253 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7276 loss: 0.7276 2022/08/09 13:46:06 - mmengine - INFO - Epoch(train) [47][400/1879] lr: 2.0000e-04 eta: 1:41:28 time: 0.8514 data_time: 0.0197 memory: 19726 grad_norm: 4.2202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7094 loss: 0.7094 2022/08/09 13:46:23 - mmengine - INFO - Epoch(train) [47][420/1879] lr: 2.0000e-04 eta: 1:41:11 time: 0.8567 data_time: 0.0196 memory: 19726 grad_norm: 4.4036 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7389 loss: 0.7389 2022/08/09 13:46:40 - mmengine - INFO - Epoch(train) [47][440/1879] lr: 2.0000e-04 eta: 1:40:54 time: 0.8562 data_time: 0.0197 memory: 19726 grad_norm: 4.2671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7462 loss: 0.7462 2022/08/09 13:46:57 - mmengine - INFO - Epoch(train) [47][460/1879] lr: 2.0000e-04 eta: 1:40:37 time: 0.8504 data_time: 0.0199 memory: 19726 grad_norm: 4.4546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8038 loss: 0.8038 2022/08/09 13:47:14 - mmengine - INFO - Epoch(train) [47][480/1879] lr: 2.0000e-04 eta: 1:40:20 time: 0.8534 data_time: 0.0196 memory: 19726 grad_norm: 4.4462 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6964 loss: 0.6964 2022/08/09 13:48:49 - mmengine - INFO - Epoch(train) [47][500/1879] lr: 2.0000e-04 eta: 1:40:09 time: 4.7318 data_time: 3.8735 memory: 19726 grad_norm: 4.4094 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5519 loss: 0.5519 2022/08/09 13:49:06 - mmengine - INFO - Epoch(train) [47][520/1879] lr: 2.0000e-04 eta: 1:39:52 time: 0.8556 data_time: 0.0202 memory: 19726 grad_norm: 4.4512 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6492 loss: 0.6492 2022/08/09 13:49:23 - mmengine - INFO - Epoch(train) [47][540/1879] lr: 2.0000e-04 eta: 1:39:35 time: 0.8503 data_time: 0.0204 memory: 19726 grad_norm: 4.2730 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6774 loss: 0.6774 2022/08/09 13:49:40 - mmengine - INFO - Epoch(train) [47][560/1879] lr: 2.0000e-04 eta: 1:39:17 time: 0.8456 data_time: 0.0191 memory: 19726 grad_norm: 4.2374 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5804 loss: 0.5804 2022/08/09 13:49:45 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 13:49:57 - mmengine - INFO - Epoch(train) [47][580/1879] lr: 2.0000e-04 eta: 1:39:00 time: 0.8551 data_time: 0.0192 memory: 19726 grad_norm: 4.3612 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6326 loss: 0.6326 2022/08/09 13:50:15 - mmengine - INFO - Epoch(train) [47][600/1879] lr: 2.0000e-04 eta: 1:38:43 time: 0.8614 data_time: 0.0231 memory: 19726 grad_norm: 4.5890 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7343 loss: 0.7343 2022/08/09 13:50:32 - mmengine - INFO - Epoch(train) [47][620/1879] lr: 2.0000e-04 eta: 1:38:26 time: 0.8631 data_time: 0.0210 memory: 19726 grad_norm: 4.2256 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7477 loss: 0.7477 2022/08/09 13:50:49 - mmengine - INFO - Epoch(train) [47][640/1879] lr: 2.0000e-04 eta: 1:38:09 time: 0.8552 data_time: 0.0196 memory: 19726 grad_norm: 4.3599 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6861 loss: 0.6861 2022/08/09 13:51:06 - mmengine - INFO - Epoch(train) [47][660/1879] lr: 2.0000e-04 eta: 1:37:52 time: 0.8541 data_time: 0.0204 memory: 19726 grad_norm: 4.3801 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6969 loss: 0.6969 2022/08/09 13:51:23 - mmengine - INFO - Epoch(train) [47][680/1879] lr: 2.0000e-04 eta: 1:37:35 time: 0.8656 data_time: 0.0198 memory: 19726 grad_norm: 4.3451 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7560 loss: 0.7560 2022/08/09 13:51:40 - mmengine - INFO - Epoch(train) [47][700/1879] lr: 2.0000e-04 eta: 1:37:17 time: 0.8514 data_time: 0.0191 memory: 19726 grad_norm: 4.5777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8339 loss: 0.8339 2022/08/09 13:51:58 - mmengine - INFO - Epoch(train) [47][720/1879] lr: 2.0000e-04 eta: 1:37:00 time: 0.8603 data_time: 0.0204 memory: 19726 grad_norm: 4.4548 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7339 loss: 0.7339 2022/08/09 13:52:15 - mmengine - INFO - Epoch(train) [47][740/1879] lr: 2.0000e-04 eta: 1:36:43 time: 0.8599 data_time: 0.0202 memory: 19726 grad_norm: 4.3626 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5255 loss: 0.5255 2022/08/09 13:52:32 - mmengine - INFO - Epoch(train) [47][760/1879] lr: 2.0000e-04 eta: 1:36:26 time: 0.8520 data_time: 0.0193 memory: 19726 grad_norm: 4.4502 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5443 loss: 0.5443 2022/08/09 13:52:49 - mmengine - INFO - Epoch(train) [47][780/1879] lr: 2.0000e-04 eta: 1:36:09 time: 0.8510 data_time: 0.0191 memory: 19726 grad_norm: 4.3651 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7570 loss: 0.7570 2022/08/09 13:53:06 - mmengine - INFO - Epoch(train) [47][800/1879] lr: 2.0000e-04 eta: 1:35:52 time: 0.8557 data_time: 0.0199 memory: 19726 grad_norm: 4.4381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8327 loss: 0.8327 2022/08/09 13:53:23 - mmengine - INFO - Epoch(train) [47][820/1879] lr: 2.0000e-04 eta: 1:35:35 time: 0.8499 data_time: 0.0194 memory: 19726 grad_norm: 4.5078 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6975 loss: 0.6975 2022/08/09 13:53:40 - mmengine - INFO - Epoch(train) [47][840/1879] lr: 2.0000e-04 eta: 1:35:18 time: 0.8482 data_time: 0.0184 memory: 19726 grad_norm: 4.4067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7102 loss: 0.7102 2022/08/09 13:53:57 - mmengine - INFO - Epoch(train) [47][860/1879] lr: 2.0000e-04 eta: 1:35:00 time: 0.8543 data_time: 0.0200 memory: 19726 grad_norm: 4.4444 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7032 loss: 0.7032 2022/08/09 13:54:14 - mmengine - INFO - Epoch(train) [47][880/1879] lr: 2.0000e-04 eta: 1:34:43 time: 0.8539 data_time: 0.0198 memory: 19726 grad_norm: 4.3054 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7698 loss: 0.7698 2022/08/09 13:54:31 - mmengine - INFO - Epoch(train) [47][900/1879] lr: 2.0000e-04 eta: 1:34:26 time: 0.8509 data_time: 0.0198 memory: 19726 grad_norm: 4.4985 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8669 loss: 0.8669 2022/08/09 13:54:48 - mmengine - INFO - Epoch(train) [47][920/1879] lr: 2.0000e-04 eta: 1:34:09 time: 0.8503 data_time: 0.0198 memory: 19726 grad_norm: 4.3662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6797 loss: 0.6797 2022/08/09 13:55:05 - mmengine - INFO - Epoch(train) [47][940/1879] lr: 2.0000e-04 eta: 1:33:52 time: 0.8504 data_time: 0.0194 memory: 19726 grad_norm: 4.3564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6850 loss: 0.6850 2022/08/09 13:55:22 - mmengine - INFO - Epoch(train) [47][960/1879] lr: 2.0000e-04 eta: 1:33:35 time: 0.8614 data_time: 0.0218 memory: 19726 grad_norm: 4.2985 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6106 loss: 0.6106 2022/08/09 13:55:40 - mmengine - INFO - Epoch(train) [47][980/1879] lr: 2.0000e-04 eta: 1:33:18 time: 0.8542 data_time: 0.0191 memory: 19726 grad_norm: 4.3938 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6194 loss: 0.6194 2022/08/09 13:55:57 - mmengine - INFO - Epoch(train) [47][1000/1879] lr: 2.0000e-04 eta: 1:33:00 time: 0.8514 data_time: 0.0196 memory: 19726 grad_norm: 4.4071 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7006 loss: 0.7006 2022/08/09 13:56:14 - mmengine - INFO - Epoch(train) [47][1020/1879] lr: 2.0000e-04 eta: 1:32:43 time: 0.8554 data_time: 0.0209 memory: 19726 grad_norm: 4.6242 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8807 loss: 0.8807 2022/08/09 13:56:31 - mmengine - INFO - Epoch(train) [47][1040/1879] lr: 2.0000e-04 eta: 1:32:26 time: 0.8541 data_time: 0.0206 memory: 19726 grad_norm: 4.3805 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7349 loss: 0.7349 2022/08/09 13:56:48 - mmengine - INFO - Epoch(train) [47][1060/1879] lr: 2.0000e-04 eta: 1:32:09 time: 0.8549 data_time: 0.0194 memory: 19726 grad_norm: 4.5632 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8437 loss: 0.8437 2022/08/09 13:57:05 - mmengine - INFO - Epoch(train) [47][1080/1879] lr: 2.0000e-04 eta: 1:31:52 time: 0.8510 data_time: 0.0199 memory: 19726 grad_norm: 4.5060 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7917 loss: 0.7917 2022/08/09 13:57:22 - mmengine - INFO - Epoch(train) [47][1100/1879] lr: 2.0000e-04 eta: 1:31:35 time: 0.8537 data_time: 0.0184 memory: 19726 grad_norm: 4.4668 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7281 loss: 0.7281 2022/08/09 13:57:39 - mmengine - INFO - Epoch(train) [47][1120/1879] lr: 2.0000e-04 eta: 1:31:18 time: 0.8584 data_time: 0.0235 memory: 19726 grad_norm: 4.5418 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8284 loss: 0.8284 2022/08/09 13:57:57 - mmengine - INFO - Epoch(train) [47][1140/1879] lr: 2.0000e-04 eta: 1:31:01 time: 0.8637 data_time: 0.0192 memory: 19726 grad_norm: 4.5944 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7727 loss: 0.7727 2022/08/09 13:58:14 - mmengine - INFO - Epoch(train) [47][1160/1879] lr: 2.0000e-04 eta: 1:30:43 time: 0.8659 data_time: 0.0276 memory: 19726 grad_norm: 4.4712 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7688 loss: 0.7688 2022/08/09 13:58:31 - mmengine - INFO - Epoch(train) [47][1180/1879] lr: 2.0000e-04 eta: 1:30:26 time: 0.8534 data_time: 0.0203 memory: 19726 grad_norm: 4.3056 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6657 loss: 0.6657 2022/08/09 13:58:48 - mmengine - INFO - Epoch(train) [47][1200/1879] lr: 2.0000e-04 eta: 1:30:09 time: 0.8567 data_time: 0.0208 memory: 19726 grad_norm: 4.4059 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8398 loss: 0.8398 2022/08/09 13:59:05 - mmengine - INFO - Epoch(train) [47][1220/1879] lr: 2.0000e-04 eta: 1:29:52 time: 0.8531 data_time: 0.0196 memory: 19726 grad_norm: 4.4244 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7004 loss: 0.7004 2022/08/09 13:59:22 - mmengine - INFO - Epoch(train) [47][1240/1879] lr: 2.0000e-04 eta: 1:29:35 time: 0.8512 data_time: 0.0184 memory: 19726 grad_norm: 4.4661 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7556 loss: 0.7556 2022/08/09 13:59:39 - mmengine - INFO - Epoch(train) [47][1260/1879] lr: 2.0000e-04 eta: 1:29:18 time: 0.8565 data_time: 0.0188 memory: 19726 grad_norm: 4.3260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7507 loss: 0.7507 2022/08/09 13:59:56 - mmengine - INFO - Epoch(train) [47][1280/1879] lr: 2.0000e-04 eta: 1:29:01 time: 0.8520 data_time: 0.0206 memory: 19726 grad_norm: 4.3966 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7187 loss: 0.7187 2022/08/09 14:00:14 - mmengine - INFO - Epoch(train) [47][1300/1879] lr: 2.0000e-04 eta: 1:28:44 time: 0.8645 data_time: 0.0221 memory: 19726 grad_norm: 4.4156 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6583 loss: 0.6583 2022/08/09 14:00:32 - mmengine - INFO - Epoch(train) [47][1320/1879] lr: 2.0000e-04 eta: 1:28:26 time: 0.8960 data_time: 0.0540 memory: 19726 grad_norm: 4.4150 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7091 loss: 0.7091 2022/08/09 14:00:49 - mmengine - INFO - Epoch(train) [47][1340/1879] lr: 2.0000e-04 eta: 1:28:09 time: 0.8566 data_time: 0.0204 memory: 19726 grad_norm: 4.4194 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6542 loss: 0.6542 2022/08/09 14:01:06 - mmengine - INFO - Epoch(train) [47][1360/1879] lr: 2.0000e-04 eta: 1:27:52 time: 0.8610 data_time: 0.0202 memory: 19726 grad_norm: 4.4161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7519 loss: 0.7519 2022/08/09 14:01:23 - mmengine - INFO - Epoch(train) [47][1380/1879] lr: 2.0000e-04 eta: 1:27:35 time: 0.8531 data_time: 0.0185 memory: 19726 grad_norm: 4.4151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7264 loss: 0.7264 2022/08/09 14:01:40 - mmengine - INFO - Epoch(train) [47][1400/1879] lr: 2.0000e-04 eta: 1:27:18 time: 0.8538 data_time: 0.0201 memory: 19726 grad_norm: 4.3878 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8833 loss: 0.8833 2022/08/09 14:01:57 - mmengine - INFO - Epoch(train) [47][1420/1879] lr: 2.0000e-04 eta: 1:27:01 time: 0.8584 data_time: 0.0256 memory: 19726 grad_norm: 4.4310 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7757 loss: 0.7757 2022/08/09 14:02:14 - mmengine - INFO - Epoch(train) [47][1440/1879] lr: 2.0000e-04 eta: 1:26:44 time: 0.8573 data_time: 0.0200 memory: 19726 grad_norm: 4.3395 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7286 loss: 0.7286 2022/08/09 14:02:31 - mmengine - INFO - Epoch(train) [47][1460/1879] lr: 2.0000e-04 eta: 1:26:27 time: 0.8522 data_time: 0.0208 memory: 19726 grad_norm: 4.4065 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7699 loss: 0.7699 2022/08/09 14:02:49 - mmengine - INFO - Epoch(train) [47][1480/1879] lr: 2.0000e-04 eta: 1:26:09 time: 0.8563 data_time: 0.0196 memory: 19726 grad_norm: 4.3478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8267 loss: 0.8267 2022/08/09 14:03:06 - mmengine - INFO - Epoch(train) [47][1500/1879] lr: 2.0000e-04 eta: 1:25:52 time: 0.8524 data_time: 0.0193 memory: 19726 grad_norm: 4.3772 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7237 loss: 0.7237 2022/08/09 14:03:23 - mmengine - INFO - Epoch(train) [47][1520/1879] lr: 2.0000e-04 eta: 1:25:35 time: 0.8539 data_time: 0.0187 memory: 19726 grad_norm: 4.4468 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8990 loss: 0.8990 2022/08/09 14:03:40 - mmengine - INFO - Epoch(train) [47][1540/1879] lr: 2.0000e-04 eta: 1:25:18 time: 0.8513 data_time: 0.0208 memory: 19726 grad_norm: 4.4254 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8274 loss: 0.8274 2022/08/09 14:03:57 - mmengine - INFO - Epoch(train) [47][1560/1879] lr: 2.0000e-04 eta: 1:25:01 time: 0.8578 data_time: 0.0197 memory: 19726 grad_norm: 4.4892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9216 loss: 0.9216 2022/08/09 14:04:02 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 14:04:14 - mmengine - INFO - Epoch(train) [47][1580/1879] lr: 2.0000e-04 eta: 1:24:44 time: 0.8513 data_time: 0.0204 memory: 19726 grad_norm: 4.4126 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6199 loss: 0.6199 2022/08/09 14:04:31 - mmengine - INFO - Epoch(train) [47][1600/1879] lr: 2.0000e-04 eta: 1:24:27 time: 0.8516 data_time: 0.0196 memory: 19726 grad_norm: 4.6583 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8601 loss: 0.8601 2022/08/09 14:04:48 - mmengine - INFO - Epoch(train) [47][1620/1879] lr: 2.0000e-04 eta: 1:24:09 time: 0.8603 data_time: 0.0210 memory: 19726 grad_norm: 4.2838 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5308 loss: 0.5308 2022/08/09 14:05:06 - mmengine - INFO - Epoch(train) [47][1640/1879] lr: 2.0000e-04 eta: 1:23:52 time: 0.8635 data_time: 0.0202 memory: 19726 grad_norm: 4.3663 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8362 loss: 0.8362 2022/08/09 14:05:23 - mmengine - INFO - Epoch(train) [47][1660/1879] lr: 2.0000e-04 eta: 1:23:35 time: 0.8861 data_time: 0.0221 memory: 19726 grad_norm: 4.5298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7983 loss: 0.7983 2022/08/09 14:05:40 - mmengine - INFO - Epoch(train) [47][1680/1879] lr: 2.0000e-04 eta: 1:23:18 time: 0.8539 data_time: 0.0185 memory: 19726 grad_norm: 4.3775 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6416 loss: 0.6416 2022/08/09 14:05:57 - mmengine - INFO - Epoch(train) [47][1700/1879] lr: 2.0000e-04 eta: 1:23:01 time: 0.8540 data_time: 0.0193 memory: 19726 grad_norm: 4.4613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7889 loss: 0.7889 2022/08/09 14:06:15 - mmengine - INFO - Epoch(train) [47][1720/1879] lr: 2.0000e-04 eta: 1:22:44 time: 0.8550 data_time: 0.0207 memory: 19726 grad_norm: 4.4284 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6175 loss: 0.6175 2022/08/09 14:06:32 - mmengine - INFO - Epoch(train) [47][1740/1879] lr: 2.0000e-04 eta: 1:22:27 time: 0.8557 data_time: 0.0198 memory: 19726 grad_norm: 4.5300 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7378 loss: 0.7378 2022/08/09 14:06:49 - mmengine - INFO - Epoch(train) [47][1760/1879] lr: 2.0000e-04 eta: 1:22:10 time: 0.8597 data_time: 0.0196 memory: 19726 grad_norm: 4.3417 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8238 loss: 0.8238 2022/08/09 14:07:06 - mmengine - INFO - Epoch(train) [47][1780/1879] lr: 2.0000e-04 eta: 1:21:52 time: 0.8514 data_time: 0.0196 memory: 19726 grad_norm: 4.4288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6121 loss: 0.6121 2022/08/09 14:07:23 - mmengine - INFO - Epoch(train) [47][1800/1879] lr: 2.0000e-04 eta: 1:21:35 time: 0.8555 data_time: 0.0196 memory: 19726 grad_norm: 4.3620 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7191 loss: 0.7191 2022/08/09 14:07:40 - mmengine - INFO - Epoch(train) [47][1820/1879] lr: 2.0000e-04 eta: 1:21:18 time: 0.8522 data_time: 0.0202 memory: 19726 grad_norm: 4.7045 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7707 loss: 0.7707 2022/08/09 14:07:57 - mmengine - INFO - Epoch(train) [47][1840/1879] lr: 2.0000e-04 eta: 1:21:01 time: 0.8563 data_time: 0.0204 memory: 19726 grad_norm: 4.4046 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7341 loss: 0.7341 2022/08/09 14:08:14 - mmengine - INFO - Epoch(train) [47][1860/1879] lr: 2.0000e-04 eta: 1:20:44 time: 0.8500 data_time: 0.0195 memory: 19726 grad_norm: 4.3813 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7125 loss: 0.7125 2022/08/09 14:08:30 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 14:08:30 - mmengine - INFO - Epoch(train) [47][1879/1879] lr: 2.0000e-04 eta: 1:20:44 time: 0.8301 data_time: 0.0213 memory: 19726 grad_norm: 4.4268 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.7209 loss: 0.7209 2022/08/09 14:08:45 - mmengine - INFO - Epoch(val) [47][20/155] eta: 0:01:39 time: 0.7342 data_time: 0.4741 memory: 2699 2022/08/09 14:08:53 - mmengine - INFO - Epoch(val) [47][40/155] eta: 0:00:50 time: 0.4372 data_time: 0.1971 memory: 2699 2022/08/09 14:09:05 - mmengine - INFO - Epoch(val) [47][60/155] eta: 0:00:56 time: 0.5934 data_time: 0.3538 memory: 2699 2022/08/09 14:09:16 - mmengine - INFO - Epoch(val) [47][80/155] eta: 0:00:41 time: 0.5565 data_time: 0.3173 memory: 2699 2022/08/09 14:09:29 - mmengine - INFO - Epoch(val) [47][100/155] eta: 0:00:35 time: 0.6381 data_time: 0.3997 memory: 2699 2022/08/09 14:09:39 - mmengine - INFO - Epoch(val) [47][120/155] eta: 0:00:16 time: 0.4856 data_time: 0.2328 memory: 2699 2022/08/09 14:09:51 - mmengine - INFO - Epoch(val) [47][140/155] eta: 0:00:09 time: 0.6248 data_time: 0.3792 memory: 2699 2022/08/09 14:09:59 - mmengine - INFO - Epoch(val) [47][155/155] acc/top1: 0.7283 acc/top5: 0.9066 acc/mean1: 0.7282 2022/08/09 14:09:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai.vendor/1984/mmaction2/work_dirs/tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb/best_acc/top1_epoch_47.pth is removed 2022/08/09 14:10:01 - mmengine - INFO - The best checkpoint with 0.7283 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2022/08/09 14:10:30 - mmengine - INFO - Epoch(train) [48][20/1879] lr: 2.0000e-04 eta: 1:20:10 time: 1.4220 data_time: 0.5773 memory: 19726 grad_norm: 4.5017 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6680 loss: 0.6680 2022/08/09 14:10:47 - mmengine - INFO - Epoch(train) [48][40/1879] lr: 2.0000e-04 eta: 1:19:53 time: 0.8513 data_time: 0.0196 memory: 19726 grad_norm: 4.4774 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8414 loss: 0.8414 2022/08/09 14:11:04 - mmengine - INFO - Epoch(train) [48][60/1879] lr: 2.0000e-04 eta: 1:19:36 time: 0.8455 data_time: 0.0192 memory: 19726 grad_norm: 4.6280 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8136 loss: 0.8136 2022/08/09 14:11:21 - mmengine - INFO - Epoch(train) [48][80/1879] lr: 2.0000e-04 eta: 1:19:19 time: 0.8529 data_time: 0.0195 memory: 19726 grad_norm: 4.4835 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7909 loss: 0.7909 2022/08/09 14:11:38 - mmengine - INFO - Epoch(train) [48][100/1879] lr: 2.0000e-04 eta: 1:19:02 time: 0.8510 data_time: 0.0194 memory: 19726 grad_norm: 4.4497 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7808 loss: 0.7808 2022/08/09 14:11:55 - mmengine - INFO - Epoch(train) [48][120/1879] lr: 2.0000e-04 eta: 1:18:45 time: 0.8552 data_time: 0.0195 memory: 19726 grad_norm: 4.5362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6822 loss: 0.6822 2022/08/09 14:12:12 - mmengine - INFO - Epoch(train) [48][140/1879] lr: 2.0000e-04 eta: 1:18:27 time: 0.8481 data_time: 0.0186 memory: 19726 grad_norm: 4.3713 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7274 loss: 0.7274 2022/08/09 14:12:29 - mmengine - INFO - Epoch(train) [48][160/1879] lr: 2.0000e-04 eta: 1:18:10 time: 0.8499 data_time: 0.0200 memory: 19726 grad_norm: 4.3705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6722 loss: 0.6722 2022/08/09 14:12:46 - mmengine - INFO - Epoch(train) [48][180/1879] lr: 2.0000e-04 eta: 1:17:53 time: 0.8606 data_time: 0.0203 memory: 19726 grad_norm: 4.5589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6969 loss: 0.6969 2022/08/09 14:13:03 - mmengine - INFO - Epoch(train) [48][200/1879] lr: 2.0000e-04 eta: 1:17:36 time: 0.8509 data_time: 0.0201 memory: 19726 grad_norm: 4.4057 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7631 loss: 0.7631 2022/08/09 14:13:20 - mmengine - INFO - Epoch(train) [48][220/1879] lr: 2.0000e-04 eta: 1:17:19 time: 0.8571 data_time: 0.0189 memory: 19726 grad_norm: 4.6034 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9053 loss: 0.9053 2022/08/09 14:13:38 - mmengine - INFO - Epoch(train) [48][240/1879] lr: 2.0000e-04 eta: 1:17:02 time: 0.8617 data_time: 0.0212 memory: 19726 grad_norm: 4.3509 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6626 loss: 0.6626 2022/08/09 14:13:55 - mmengine - INFO - Epoch(train) [48][260/1879] lr: 2.0000e-04 eta: 1:16:45 time: 0.8527 data_time: 0.0193 memory: 19726 grad_norm: 4.4341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6589 loss: 0.6589 2022/08/09 14:14:12 - mmengine - INFO - Epoch(train) [48][280/1879] lr: 2.0000e-04 eta: 1:16:27 time: 0.8536 data_time: 0.0195 memory: 19726 grad_norm: 4.2907 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6606 loss: 0.6606 2022/08/09 14:14:29 - mmengine - INFO - Epoch(train) [48][300/1879] lr: 2.0000e-04 eta: 1:16:10 time: 0.8591 data_time: 0.0193 memory: 19726 grad_norm: 4.3837 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7033 loss: 0.7033 2022/08/09 14:14:46 - mmengine - INFO - Epoch(train) [48][320/1879] lr: 2.0000e-04 eta: 1:15:53 time: 0.8540 data_time: 0.0214 memory: 19726 grad_norm: 4.4733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7095 loss: 0.7095 2022/08/09 14:15:03 - mmengine - INFO - Epoch(train) [48][340/1879] lr: 2.0000e-04 eta: 1:15:36 time: 0.8547 data_time: 0.0202 memory: 19726 grad_norm: 4.3624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7672 loss: 0.7672 2022/08/09 14:15:20 - mmengine - INFO - Epoch(train) [48][360/1879] lr: 2.0000e-04 eta: 1:15:19 time: 0.8563 data_time: 0.0197 memory: 19726 grad_norm: 4.3564 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6165 loss: 0.6165 2022/08/09 14:15:37 - mmengine - INFO - Epoch(train) [48][380/1879] lr: 2.0000e-04 eta: 1:15:02 time: 0.8550 data_time: 0.0208 memory: 19726 grad_norm: 4.3717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7608 loss: 0.7608 2022/08/09 14:15:55 - mmengine - INFO - Epoch(train) [48][400/1879] lr: 2.0000e-04 eta: 1:14:45 time: 0.8567 data_time: 0.0185 memory: 19726 grad_norm: 4.5044 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7743 loss: 0.7743 2022/08/09 14:16:12 - mmengine - INFO - Epoch(train) [48][420/1879] lr: 2.0000e-04 eta: 1:14:28 time: 0.8493 data_time: 0.0182 memory: 19726 grad_norm: 4.4129 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7206 loss: 0.7206 2022/08/09 14:16:29 - mmengine - INFO - Epoch(train) [48][440/1879] lr: 2.0000e-04 eta: 1:14:10 time: 0.8507 data_time: 0.0183 memory: 19726 grad_norm: 4.5190 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7153 loss: 0.7153 2022/08/09 14:16:46 - mmengine - INFO - Epoch(train) [48][460/1879] lr: 2.0000e-04 eta: 1:13:53 time: 0.8545 data_time: 0.0212 memory: 19726 grad_norm: 4.3911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6939 loss: 0.6939 2022/08/09 14:17:03 - mmengine - INFO - Epoch(train) [48][480/1879] lr: 2.0000e-04 eta: 1:13:36 time: 0.8500 data_time: 0.0189 memory: 19726 grad_norm: 4.2632 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6195 loss: 0.6195 2022/08/09 14:17:20 - mmengine - INFO - Epoch(train) [48][500/1879] lr: 2.0000e-04 eta: 1:13:19 time: 0.8595 data_time: 0.0198 memory: 19726 grad_norm: 4.4274 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.6000 loss: 0.6000 2022/08/09 14:17:37 - mmengine - INFO - Epoch(train) [48][520/1879] lr: 2.0000e-04 eta: 1:13:02 time: 0.8514 data_time: 0.0188 memory: 19726 grad_norm: 4.3908 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7441 loss: 0.7441 2022/08/09 14:17:54 - mmengine - INFO - Epoch(train) [48][540/1879] lr: 2.0000e-04 eta: 1:12:45 time: 0.8535 data_time: 0.0187 memory: 19726 grad_norm: 4.3376 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5314 loss: 0.5314 2022/08/09 14:18:11 - mmengine - INFO - Epoch(train) [48][560/1879] lr: 2.0000e-04 eta: 1:12:28 time: 0.8522 data_time: 0.0190 memory: 19726 grad_norm: 4.4007 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6215 loss: 0.6215 2022/08/09 14:18:28 - mmengine - INFO - Epoch(train) [48][580/1879] lr: 2.0000e-04 eta: 1:12:10 time: 0.8513 data_time: 0.0190 memory: 19726 grad_norm: 4.2459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6225 loss: 0.6225 2022/08/09 14:18:45 - mmengine - INFO - Epoch(train) [48][600/1879] lr: 2.0000e-04 eta: 1:11:53 time: 0.8622 data_time: 0.0250 memory: 19726 grad_norm: 4.3696 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7410 loss: 0.7410 2022/08/09 14:19:03 - mmengine - INFO - Epoch(train) [48][620/1879] lr: 2.0000e-04 eta: 1:11:36 time: 0.8577 data_time: 0.0200 memory: 19726 grad_norm: 4.5951 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7081 loss: 0.7081 2022/08/09 14:19:20 - mmengine - INFO - Epoch(train) [48][640/1879] lr: 2.0000e-04 eta: 1:11:19 time: 0.8518 data_time: 0.0197 memory: 19726 grad_norm: 4.5284 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7188 loss: 0.7188 2022/08/09 14:19:37 - mmengine - INFO - Epoch(train) [48][660/1879] lr: 2.0000e-04 eta: 1:11:02 time: 0.8585 data_time: 0.0198 memory: 19726 grad_norm: 4.5082 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8052 loss: 0.8052 2022/08/09 14:19:54 - mmengine - INFO - Epoch(train) [48][680/1879] lr: 2.0000e-04 eta: 1:10:45 time: 0.8497 data_time: 0.0192 memory: 19726 grad_norm: 4.3849 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7505 loss: 0.7505 2022/08/09 14:20:00 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 14:20:11 - mmengine - INFO - Epoch(train) [48][700/1879] lr: 2.0000e-04 eta: 1:10:28 time: 0.8560 data_time: 0.0207 memory: 19726 grad_norm: 4.4711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6714 loss: 0.6714 2022/08/09 14:20:28 - mmengine - INFO - Epoch(train) [48][720/1879] lr: 2.0000e-04 eta: 1:10:11 time: 0.8613 data_time: 0.0266 memory: 19726 grad_norm: 4.4119 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6597 loss: 0.6597 2022/08/09 14:20:45 - mmengine - INFO - Epoch(train) [48][740/1879] lr: 2.0000e-04 eta: 1:09:53 time: 0.8592 data_time: 0.0196 memory: 19726 grad_norm: 4.4603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6824 loss: 0.6824 2022/08/09 14:21:02 - mmengine - INFO - Epoch(train) [48][760/1879] lr: 2.0000e-04 eta: 1:09:36 time: 0.8522 data_time: 0.0197 memory: 19726 grad_norm: 4.4134 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7401 loss: 0.7401 2022/08/09 14:21:20 - mmengine - INFO - Epoch(train) [48][780/1879] lr: 2.0000e-04 eta: 1:09:19 time: 0.8578 data_time: 0.0198 memory: 19726 grad_norm: 4.2918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7578 loss: 0.7578 2022/08/09 14:21:37 - mmengine - INFO - Epoch(train) [48][800/1879] lr: 2.0000e-04 eta: 1:09:02 time: 0.8600 data_time: 0.0263 memory: 19726 grad_norm: 4.3555 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6685 loss: 0.6685 2022/08/09 14:21:54 - mmengine - INFO - Epoch(train) [48][820/1879] lr: 2.0000e-04 eta: 1:08:45 time: 0.8514 data_time: 0.0193 memory: 19726 grad_norm: 4.3525 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7575 loss: 0.7575 2022/08/09 14:22:11 - mmengine - INFO - Epoch(train) [48][840/1879] lr: 2.0000e-04 eta: 1:08:28 time: 0.8521 data_time: 0.0199 memory: 19726 grad_norm: 4.3918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7413 loss: 0.7413 2022/08/09 14:22:28 - mmengine - INFO - Epoch(train) [48][860/1879] lr: 2.0000e-04 eta: 1:08:11 time: 0.8603 data_time: 0.0205 memory: 19726 grad_norm: 4.4189 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6591 loss: 0.6591 2022/08/09 14:22:45 - mmengine - INFO - Epoch(train) [48][880/1879] lr: 2.0000e-04 eta: 1:07:54 time: 0.8495 data_time: 0.0200 memory: 19726 grad_norm: 4.4648 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7699 loss: 0.7699 2022/08/09 14:23:02 - mmengine - INFO - Epoch(train) [48][900/1879] lr: 2.0000e-04 eta: 1:07:36 time: 0.8586 data_time: 0.0243 memory: 19726 grad_norm: 4.4361 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7975 loss: 0.7975 2022/08/09 14:23:19 - mmengine - INFO - Epoch(train) [48][920/1879] lr: 2.0000e-04 eta: 1:07:19 time: 0.8490 data_time: 0.0199 memory: 19726 grad_norm: 4.3109 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6780 loss: 0.6780 2022/08/09 14:23:36 - mmengine - INFO - Epoch(train) [48][940/1879] lr: 2.0000e-04 eta: 1:07:02 time: 0.8551 data_time: 0.0199 memory: 19726 grad_norm: 4.4026 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6799 loss: 0.6799 2022/08/09 14:23:53 - mmengine - INFO - Epoch(train) [48][960/1879] lr: 2.0000e-04 eta: 1:06:45 time: 0.8494 data_time: 0.0197 memory: 19726 grad_norm: 4.2766 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6425 loss: 0.6425 2022/08/09 14:24:10 - mmengine - INFO - Epoch(train) [48][980/1879] lr: 2.0000e-04 eta: 1:06:28 time: 0.8568 data_time: 0.0203 memory: 19726 grad_norm: 4.5416 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7373 loss: 0.7373 2022/08/09 14:24:28 - mmengine - INFO - Epoch(train) [48][1000/1879] lr: 2.0000e-04 eta: 1:06:11 time: 0.8523 data_time: 0.0201 memory: 19726 grad_norm: 4.2837 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6298 loss: 0.6298 2022/08/09 14:24:45 - mmengine - INFO - Epoch(train) [48][1020/1879] lr: 2.0000e-04 eta: 1:05:54 time: 0.8522 data_time: 0.0193 memory: 19726 grad_norm: 4.4551 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7851 loss: 0.7851 2022/08/09 14:25:02 - mmengine - INFO - Epoch(train) [48][1040/1879] lr: 2.0000e-04 eta: 1:05:36 time: 0.8516 data_time: 0.0205 memory: 19726 grad_norm: 4.3672 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6179 loss: 0.6179 2022/08/09 14:25:19 - mmengine - INFO - Epoch(train) [48][1060/1879] lr: 2.0000e-04 eta: 1:05:19 time: 0.8594 data_time: 0.0208 memory: 19726 grad_norm: 4.4695 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7419 loss: 0.7419 2022/08/09 14:25:36 - mmengine - INFO - Epoch(train) [48][1080/1879] lr: 2.0000e-04 eta: 1:05:02 time: 0.8592 data_time: 0.0268 memory: 19726 grad_norm: 4.5045 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6906 loss: 0.6906 2022/08/09 14:25:53 - mmengine - INFO - Epoch(train) [48][1100/1879] lr: 2.0000e-04 eta: 1:04:45 time: 0.8522 data_time: 0.0200 memory: 19726 grad_norm: 4.4407 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7167 loss: 0.7167 2022/08/09 14:26:10 - mmengine - INFO - Epoch(train) [48][1120/1879] lr: 2.0000e-04 eta: 1:04:28 time: 0.8590 data_time: 0.0208 memory: 19726 grad_norm: 4.4266 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6953 loss: 0.6953 2022/08/09 14:26:27 - mmengine - INFO - Epoch(train) [48][1140/1879] lr: 2.0000e-04 eta: 1:04:11 time: 0.8500 data_time: 0.0189 memory: 19726 grad_norm: 4.5192 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8673 loss: 0.8673 2022/08/09 14:26:44 - mmengine - INFO - Epoch(train) [48][1160/1879] lr: 2.0000e-04 eta: 1:03:54 time: 0.8498 data_time: 0.0193 memory: 19726 grad_norm: 4.5100 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7139 loss: 0.7139 2022/08/09 14:27:01 - mmengine - INFO - Epoch(train) [48][1180/1879] lr: 2.0000e-04 eta: 1:03:37 time: 0.8515 data_time: 0.0195 memory: 19726 grad_norm: 4.5733 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6843 loss: 0.6843 2022/08/09 14:27:18 - mmengine - INFO - Epoch(train) [48][1200/1879] lr: 2.0000e-04 eta: 1:03:19 time: 0.8554 data_time: 0.0203 memory: 19726 grad_norm: 4.4396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6968 loss: 0.6968 2022/08/09 14:27:35 - mmengine - INFO - Epoch(train) [48][1220/1879] lr: 2.0000e-04 eta: 1:03:02 time: 0.8511 data_time: 0.0201 memory: 19726 grad_norm: 4.4437 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7715 loss: 0.7715 2022/08/09 14:27:52 - mmengine - INFO - Epoch(train) [48][1240/1879] lr: 2.0000e-04 eta: 1:02:45 time: 0.8501 data_time: 0.0196 memory: 19726 grad_norm: 4.4668 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7465 loss: 0.7465 2022/08/09 14:28:10 - mmengine - INFO - Epoch(train) [48][1260/1879] lr: 2.0000e-04 eta: 1:02:28 time: 0.8546 data_time: 0.0198 memory: 19726 grad_norm: 4.5125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7228 loss: 0.7228 2022/08/09 14:28:27 - mmengine - INFO - Epoch(train) [48][1280/1879] lr: 2.0000e-04 eta: 1:02:11 time: 0.8554 data_time: 0.0202 memory: 19726 grad_norm: 4.4281 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7721 loss: 0.7721 2022/08/09 14:28:44 - mmengine - INFO - Epoch(train) [48][1300/1879] lr: 2.0000e-04 eta: 1:01:54 time: 0.8476 data_time: 0.0183 memory: 19726 grad_norm: 4.4104 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6087 loss: 0.6087 2022/08/09 14:29:01 - mmengine - INFO - Epoch(train) [48][1320/1879] lr: 2.0000e-04 eta: 1:01:37 time: 0.8504 data_time: 0.0198 memory: 19726 grad_norm: 4.4455 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6403 loss: 0.6403 2022/08/09 14:29:18 - mmengine - INFO - Epoch(train) [48][1340/1879] lr: 2.0000e-04 eta: 1:01:20 time: 0.8553 data_time: 0.0216 memory: 19726 grad_norm: 4.3751 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8404 loss: 0.8404 2022/08/09 14:29:35 - mmengine - INFO - Epoch(train) [48][1360/1879] lr: 2.0000e-04 eta: 1:01:02 time: 0.8499 data_time: 0.0209 memory: 19726 grad_norm: 4.5116 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7670 loss: 0.7670 2022/08/09 14:29:52 - mmengine - INFO - Epoch(train) [48][1380/1879] lr: 2.0000e-04 eta: 1:00:45 time: 0.8612 data_time: 0.0262 memory: 19726 grad_norm: 4.4145 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8401 loss: 0.8401 2022/08/09 14:30:09 - mmengine - INFO - Epoch(train) [48][1400/1879] lr: 2.0000e-04 eta: 1:00:28 time: 0.8491 data_time: 0.0198 memory: 19726 grad_norm: 4.3751 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8090 loss: 0.8090 2022/08/09 14:30:26 - mmengine - INFO - Epoch(train) [48][1420/1879] lr: 2.0000e-04 eta: 1:00:11 time: 0.8687 data_time: 0.0248 memory: 19726 grad_norm: 4.3273 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7964 loss: 0.7964 2022/08/09 14:30:43 - mmengine - INFO - Epoch(train) [48][1440/1879] lr: 2.0000e-04 eta: 0:59:54 time: 0.8471 data_time: 0.0180 memory: 19726 grad_norm: 4.5097 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7419 loss: 0.7419 2022/08/09 14:31:00 - mmengine - INFO - Epoch(train) [48][1460/1879] lr: 2.0000e-04 eta: 0:59:37 time: 0.8553 data_time: 0.0191 memory: 19726 grad_norm: 4.4871 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8794 loss: 0.8794 2022/08/09 14:31:17 - mmengine - INFO - Epoch(train) [48][1480/1879] lr: 2.0000e-04 eta: 0:59:20 time: 0.8493 data_time: 0.0210 memory: 19726 grad_norm: 4.4513 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7568 loss: 0.7568 2022/08/09 14:31:35 - mmengine - INFO - Epoch(train) [48][1500/1879] lr: 2.0000e-04 eta: 0:59:02 time: 0.8534 data_time: 0.0201 memory: 19726 grad_norm: 4.4350 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7380 loss: 0.7380 2022/08/09 14:31:52 - mmengine - INFO - Epoch(train) [48][1520/1879] lr: 2.0000e-04 eta: 0:58:45 time: 0.8526 data_time: 0.0202 memory: 19726 grad_norm: 4.4725 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6783 loss: 0.6783 2022/08/09 14:32:09 - mmengine - INFO - Epoch(train) [48][1540/1879] lr: 2.0000e-04 eta: 0:58:28 time: 0.8576 data_time: 0.0197 memory: 19726 grad_norm: 4.2885 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7459 loss: 0.7459 2022/08/09 14:32:26 - mmengine - INFO - Epoch(train) [48][1560/1879] lr: 2.0000e-04 eta: 0:58:11 time: 0.8484 data_time: 0.0195 memory: 19726 grad_norm: 4.3850 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7708 loss: 0.7708 2022/08/09 14:32:43 - mmengine - INFO - Epoch(train) [48][1580/1879] lr: 2.0000e-04 eta: 0:57:54 time: 0.8502 data_time: 0.0189 memory: 19726 grad_norm: 4.4370 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6502 loss: 0.6502 2022/08/09 14:33:00 - mmengine - INFO - Epoch(train) [48][1600/1879] lr: 2.0000e-04 eta: 0:57:37 time: 0.8529 data_time: 0.0200 memory: 19726 grad_norm: 4.4035 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6731 loss: 0.6731 2022/08/09 14:33:17 - mmengine - INFO - Epoch(train) [48][1620/1879] lr: 2.0000e-04 eta: 0:57:20 time: 0.8512 data_time: 0.0202 memory: 19726 grad_norm: 4.4914 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7650 loss: 0.7650 2022/08/09 14:33:34 - mmengine - INFO - Epoch(train) [48][1640/1879] lr: 2.0000e-04 eta: 0:57:03 time: 0.8502 data_time: 0.0194 memory: 19726 grad_norm: 4.4459 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6315 loss: 0.6315 2022/08/09 14:33:51 - mmengine - INFO - Epoch(train) [48][1660/1879] lr: 2.0000e-04 eta: 0:56:45 time: 0.8543 data_time: 0.0247 memory: 19726 grad_norm: 4.4973 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6915 loss: 0.6915 2022/08/09 14:34:08 - mmengine - INFO - Epoch(train) [48][1680/1879] lr: 2.0000e-04 eta: 0:56:28 time: 0.8597 data_time: 0.0247 memory: 19726 grad_norm: 4.5625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6942 loss: 0.6942 2022/08/09 14:34:14 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 14:34:25 - mmengine - INFO - Epoch(train) [48][1700/1879] lr: 2.0000e-04 eta: 0:56:11 time: 0.8493 data_time: 0.0196 memory: 19726 grad_norm: 4.4410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8011 loss: 0.8011 2022/08/09 14:34:42 - mmengine - INFO - Epoch(train) [48][1720/1879] lr: 2.0000e-04 eta: 0:55:54 time: 0.8535 data_time: 0.0194 memory: 19726 grad_norm: 4.3853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7801 loss: 0.7801 2022/08/09 14:34:59 - mmengine - INFO - Epoch(train) [48][1740/1879] lr: 2.0000e-04 eta: 0:55:37 time: 0.8528 data_time: 0.0207 memory: 19726 grad_norm: 4.3539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6782 loss: 0.6782 2022/08/09 14:35:16 - mmengine - INFO - Epoch(train) [48][1760/1879] lr: 2.0000e-04 eta: 0:55:20 time: 0.8580 data_time: 0.0207 memory: 19726 grad_norm: 4.4562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5970 loss: 0.5970 2022/08/09 14:35:33 - mmengine - INFO - Epoch(train) [48][1780/1879] lr: 2.0000e-04 eta: 0:55:03 time: 0.8488 data_time: 0.0205 memory: 19726 grad_norm: 4.3847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6738 loss: 0.6738 2022/08/09 14:35:50 - mmengine - INFO - Epoch(train) [48][1800/1879] lr: 2.0000e-04 eta: 0:54:46 time: 0.8508 data_time: 0.0185 memory: 19726 grad_norm: 4.4338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6255 loss: 0.6255 2022/08/09 14:36:08 - mmengine - INFO - Epoch(train) [48][1820/1879] lr: 2.0000e-04 eta: 0:54:28 time: 0.8526 data_time: 0.0204 memory: 19726 grad_norm: 4.3211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6589 loss: 0.6589 2022/08/09 14:36:25 - mmengine - INFO - Epoch(train) [48][1840/1879] lr: 2.0000e-04 eta: 0:54:11 time: 0.8504 data_time: 0.0209 memory: 19726 grad_norm: 4.5281 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7033 loss: 0.7033 2022/08/09 14:36:42 - mmengine - INFO - Epoch(train) [48][1860/1879] lr: 2.0000e-04 eta: 0:53:54 time: 0.8618 data_time: 0.0196 memory: 19726 grad_norm: 4.4172 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7177 loss: 0.7177 2022/08/09 14:36:57 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 14:36:57 - mmengine - INFO - Epoch(train) [48][1879/1879] lr: 2.0000e-04 eta: 0:53:54 time: 0.8249 data_time: 0.0190 memory: 19726 grad_norm: 4.5616 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.6534 loss: 0.6534 2022/08/09 14:36:58 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/09 14:37:14 - mmengine - INFO - Epoch(val) [48][20/155] eta: 0:01:36 time: 0.7124 data_time: 0.4731 memory: 2699 2022/08/09 14:37:24 - mmengine - INFO - Epoch(val) [48][40/155] eta: 0:00:56 time: 0.4903 data_time: 0.2513 memory: 2699 2022/08/09 14:37:36 - mmengine - INFO - Epoch(val) [48][60/155] eta: 0:00:55 time: 0.5869 data_time: 0.3487 memory: 2699 2022/08/09 14:37:46 - mmengine - INFO - Epoch(val) [48][80/155] eta: 0:00:39 time: 0.5219 data_time: 0.2834 memory: 2699 2022/08/09 14:37:58 - mmengine - INFO - Epoch(val) [48][100/155] eta: 0:00:33 time: 0.6116 data_time: 0.3727 memory: 2699 2022/08/09 14:38:09 - mmengine - INFO - Epoch(val) [48][120/155] eta: 0:00:18 time: 0.5392 data_time: 0.3006 memory: 2699 2022/08/09 14:38:21 - mmengine - INFO - Epoch(val) [48][140/155] eta: 0:00:08 time: 0.5865 data_time: 0.3444 memory: 2699 2022/08/09 14:38:28 - mmengine - INFO - Epoch(val) [48][155/155] acc/top1: 0.7275 acc/top5: 0.9076 acc/mean1: 0.7274 2022/08/09 14:38:50 - mmengine - INFO - Epoch(train) [49][20/1879] lr: 2.0000e-04 eta: 0:53:20 time: 1.1074 data_time: 0.2258 memory: 19726 grad_norm: 4.5650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7917 loss: 0.7917 2022/08/09 14:39:07 - mmengine - INFO - Epoch(train) [49][40/1879] lr: 2.0000e-04 eta: 0:53:03 time: 0.8506 data_time: 0.0193 memory: 19726 grad_norm: 4.3341 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7407 loss: 0.7407 2022/08/09 14:39:24 - mmengine - INFO - Epoch(train) [49][60/1879] lr: 2.0000e-04 eta: 0:52:46 time: 0.8455 data_time: 0.0188 memory: 19726 grad_norm: 4.2590 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6848 loss: 0.6848 2022/08/09 14:39:41 - mmengine - INFO - Epoch(train) [49][80/1879] lr: 2.0000e-04 eta: 0:52:29 time: 0.8530 data_time: 0.0195 memory: 19726 grad_norm: 4.3826 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6931 loss: 0.6931 2022/08/09 14:39:58 - mmengine - INFO - Epoch(train) [49][100/1879] lr: 2.0000e-04 eta: 0:52:12 time: 0.8502 data_time: 0.0196 memory: 19726 grad_norm: 4.6222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7415 loss: 0.7415 2022/08/09 14:40:15 - mmengine - INFO - Epoch(train) [49][120/1879] lr: 2.0000e-04 eta: 0:51:55 time: 0.8547 data_time: 0.0193 memory: 19726 grad_norm: 4.3974 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7123 loss: 0.7123 2022/08/09 14:40:32 - mmengine - INFO - Epoch(train) [49][140/1879] lr: 2.0000e-04 eta: 0:51:37 time: 0.8521 data_time: 0.0185 memory: 19726 grad_norm: 4.3396 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7322 loss: 0.7322 2022/08/09 14:40:49 - mmengine - INFO - Epoch(train) [49][160/1879] lr: 2.0000e-04 eta: 0:51:20 time: 0.8540 data_time: 0.0192 memory: 19726 grad_norm: 4.6010 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7120 loss: 0.7120 2022/08/09 14:41:06 - mmengine - INFO - Epoch(train) [49][180/1879] lr: 2.0000e-04 eta: 0:51:03 time: 0.8514 data_time: 0.0189 memory: 19726 grad_norm: 4.2741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7017 loss: 0.7017 2022/08/09 14:41:23 - mmengine - INFO - Epoch(train) [49][200/1879] lr: 2.0000e-04 eta: 0:50:46 time: 0.8533 data_time: 0.0186 memory: 19726 grad_norm: 4.5093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6543 loss: 0.6543 2022/08/09 14:41:41 - mmengine - INFO - Epoch(train) [49][220/1879] lr: 2.0000e-04 eta: 0:50:29 time: 0.8531 data_time: 0.0187 memory: 19726 grad_norm: 4.3845 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8459 loss: 0.8459 2022/08/09 14:41:58 - mmengine - INFO - Epoch(train) [49][240/1879] lr: 2.0000e-04 eta: 0:50:12 time: 0.8660 data_time: 0.0255 memory: 19726 grad_norm: 4.4686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8015 loss: 0.8015 2022/08/09 14:42:15 - mmengine - INFO - Epoch(train) [49][260/1879] lr: 2.0000e-04 eta: 0:49:55 time: 0.8562 data_time: 0.0208 memory: 19726 grad_norm: 4.3495 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6243 loss: 0.6243 2022/08/09 14:42:32 - mmengine - INFO - Epoch(train) [49][280/1879] lr: 2.0000e-04 eta: 0:49:38 time: 0.8576 data_time: 0.0186 memory: 19726 grad_norm: 4.4257 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6593 loss: 0.6593 2022/08/09 14:42:49 - mmengine - INFO - Epoch(train) [49][300/1879] lr: 2.0000e-04 eta: 0:49:20 time: 0.8526 data_time: 0.0202 memory: 19726 grad_norm: 4.3305 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7943 loss: 0.7943 2022/08/09 14:43:06 - mmengine - INFO - Epoch(train) [49][320/1879] lr: 2.0000e-04 eta: 0:49:03 time: 0.8505 data_time: 0.0189 memory: 19726 grad_norm: 4.3857 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7809 loss: 0.7809 2022/08/09 14:43:23 - mmengine - INFO - Epoch(train) [49][340/1879] lr: 2.0000e-04 eta: 0:48:46 time: 0.8520 data_time: 0.0197 memory: 19726 grad_norm: 4.3824 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7411 loss: 0.7411 2022/08/09 14:43:40 - mmengine - INFO - Epoch(train) [49][360/1879] lr: 2.0000e-04 eta: 0:48:29 time: 0.8488 data_time: 0.0199 memory: 19726 grad_norm: 4.2806 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7153 loss: 0.7153 2022/08/09 14:43:57 - mmengine - INFO - Epoch(train) [49][380/1879] lr: 2.0000e-04 eta: 0:48:12 time: 0.8527 data_time: 0.0197 memory: 19726 grad_norm: 4.4824 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7744 loss: 0.7744 2022/08/09 14:44:14 - mmengine - INFO - Epoch(train) [49][400/1879] lr: 2.0000e-04 eta: 0:47:55 time: 0.8486 data_time: 0.0198 memory: 19726 grad_norm: 4.3867 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7237 loss: 0.7237 2022/08/09 14:44:31 - mmengine - INFO - Epoch(train) [49][420/1879] lr: 2.0000e-04 eta: 0:47:38 time: 0.8473 data_time: 0.0188 memory: 19726 grad_norm: 4.5767 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7063 loss: 0.7063 2022/08/09 14:44:48 - mmengine - INFO - Epoch(train) [49][440/1879] lr: 2.0000e-04 eta: 0:47:21 time: 0.8529 data_time: 0.0193 memory: 19726 grad_norm: 4.3547 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6989 loss: 0.6989 2022/08/09 14:45:06 - mmengine - INFO - Epoch(train) [49][460/1879] lr: 2.0000e-04 eta: 0:47:03 time: 0.8569 data_time: 0.0266 memory: 19726 grad_norm: 4.3046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7624 loss: 0.7624 2022/08/09 14:45:23 - mmengine - INFO - Epoch(train) [49][480/1879] lr: 2.0000e-04 eta: 0:46:46 time: 0.8781 data_time: 0.0238 memory: 19726 grad_norm: 4.3583 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6755 loss: 0.6755 2022/08/09 14:45:40 - mmengine - INFO - Epoch(train) [49][500/1879] lr: 2.0000e-04 eta: 0:46:29 time: 0.8582 data_time: 0.0214 memory: 19726 grad_norm: 4.4662 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5693 loss: 0.5693 2022/08/09 14:45:57 - mmengine - INFO - Epoch(train) [49][520/1879] lr: 2.0000e-04 eta: 0:46:12 time: 0.8528 data_time: 0.0188 memory: 19726 grad_norm: 4.4775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6255 loss: 0.6255 2022/08/09 14:46:14 - mmengine - INFO - Epoch(train) [49][540/1879] lr: 2.0000e-04 eta: 0:45:55 time: 0.8494 data_time: 0.0188 memory: 19726 grad_norm: 4.4293 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6933 loss: 0.6933 2022/08/09 14:46:31 - mmengine - INFO - Epoch(train) [49][560/1879] lr: 2.0000e-04 eta: 0:45:38 time: 0.8505 data_time: 0.0198 memory: 19726 grad_norm: 4.2768 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6334 loss: 0.6334 2022/08/09 14:46:49 - mmengine - INFO - Epoch(train) [49][580/1879] lr: 2.0000e-04 eta: 0:45:21 time: 0.8580 data_time: 0.0189 memory: 19726 grad_norm: 4.4276 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6776 loss: 0.6776 2022/08/09 14:47:06 - mmengine - INFO - Epoch(train) [49][600/1879] lr: 2.0000e-04 eta: 0:45:04 time: 0.8549 data_time: 0.0253 memory: 19726 grad_norm: 4.4153 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7478 loss: 0.7478 2022/08/09 14:47:23 - mmengine - INFO - Epoch(train) [49][620/1879] lr: 2.0000e-04 eta: 0:44:46 time: 0.8567 data_time: 0.0196 memory: 19726 grad_norm: 4.4702 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7792 loss: 0.7792 2022/08/09 14:47:40 - mmengine - INFO - Epoch(train) [49][640/1879] lr: 2.0000e-04 eta: 0:44:29 time: 0.8511 data_time: 0.0189 memory: 19726 grad_norm: 4.3075 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5947 loss: 0.5947 2022/08/09 14:47:57 - mmengine - INFO - Epoch(train) [49][660/1879] lr: 2.0000e-04 eta: 0:44:12 time: 0.8627 data_time: 0.0180 memory: 19726 grad_norm: 4.2964 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7263 loss: 0.7263 2022/08/09 14:48:14 - mmengine - INFO - Epoch(train) [49][680/1879] lr: 2.0000e-04 eta: 0:43:55 time: 0.8495 data_time: 0.0181 memory: 19726 grad_norm: 4.3158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7206 loss: 0.7206 2022/08/09 14:48:31 - mmengine - INFO - Epoch(train) [49][700/1879] lr: 2.0000e-04 eta: 0:43:38 time: 0.8595 data_time: 0.0198 memory: 19726 grad_norm: 4.4696 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7219 loss: 0.7219 2022/08/09 14:48:48 - mmengine - INFO - Epoch(train) [49][720/1879] lr: 2.0000e-04 eta: 0:43:21 time: 0.8527 data_time: 0.0189 memory: 19726 grad_norm: 4.3446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7154 loss: 0.7154 2022/08/09 14:49:05 - mmengine - INFO - Epoch(train) [49][740/1879] lr: 2.0000e-04 eta: 0:43:04 time: 0.8553 data_time: 0.0192 memory: 19726 grad_norm: 4.2926 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6741 loss: 0.6741 2022/08/09 14:49:22 - mmengine - INFO - Epoch(train) [49][760/1879] lr: 2.0000e-04 eta: 0:42:47 time: 0.8506 data_time: 0.0192 memory: 19726 grad_norm: 4.5370 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8324 loss: 0.8324 2022/08/09 14:49:40 - mmengine - INFO - Epoch(train) [49][780/1879] lr: 2.0000e-04 eta: 0:42:29 time: 0.8550 data_time: 0.0192 memory: 19726 grad_norm: 4.4219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7090 loss: 0.7090 2022/08/09 14:49:57 - mmengine - INFO - Epoch(train) [49][800/1879] lr: 2.0000e-04 eta: 0:42:12 time: 0.8506 data_time: 0.0187 memory: 19726 grad_norm: 4.5390 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/09 14:50:03 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 14:50:14 - mmengine - INFO - Epoch(train) [49][820/1879] lr: 2.0000e-04 eta: 0:41:55 time: 0.8584 data_time: 0.0210 memory: 19726 grad_norm: 4.6575 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8585 loss: 0.8585 2022/08/09 14:50:31 - mmengine - INFO - Epoch(train) [49][840/1879] lr: 2.0000e-04 eta: 0:41:38 time: 0.8541 data_time: 0.0194 memory: 19726 grad_norm: 4.5131 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7480 loss: 0.7480 2022/08/09 14:50:48 - mmengine - INFO - Epoch(train) [49][860/1879] lr: 2.0000e-04 eta: 0:41:21 time: 0.8556 data_time: 0.0192 memory: 19726 grad_norm: 4.3176 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6451 loss: 0.6451 2022/08/09 14:51:05 - mmengine - INFO - Epoch(train) [49][880/1879] lr: 2.0000e-04 eta: 0:41:04 time: 0.8508 data_time: 0.0187 memory: 19726 grad_norm: 4.3581 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7008 loss: 0.7008 2022/08/09 14:51:22 - mmengine - INFO - Epoch(train) [49][900/1879] lr: 2.0000e-04 eta: 0:40:47 time: 0.8544 data_time: 0.0191 memory: 19726 grad_norm: 4.4946 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7204 loss: 0.7204 2022/08/09 14:51:39 - mmengine - INFO - Epoch(train) [49][920/1879] lr: 2.0000e-04 eta: 0:40:30 time: 0.8562 data_time: 0.0205 memory: 19726 grad_norm: 4.3715 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7288 loss: 0.7288 2022/08/09 14:51:56 - mmengine - INFO - Epoch(train) [49][940/1879] lr: 2.0000e-04 eta: 0:40:12 time: 0.8566 data_time: 0.0209 memory: 19726 grad_norm: 4.4431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7095 loss: 0.7095 2022/08/09 14:52:14 - mmengine - INFO - Epoch(train) [49][960/1879] lr: 2.0000e-04 eta: 0:39:55 time: 0.8558 data_time: 0.0194 memory: 19726 grad_norm: 4.4073 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7146 loss: 0.7146 2022/08/09 14:52:31 - mmengine - INFO - Epoch(train) [49][980/1879] lr: 2.0000e-04 eta: 0:39:38 time: 0.8538 data_time: 0.0185 memory: 19726 grad_norm: 4.3578 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6987 loss: 0.6987 2022/08/09 14:52:48 - mmengine - INFO - Epoch(train) [49][1000/1879] lr: 2.0000e-04 eta: 0:39:21 time: 0.8520 data_time: 0.0182 memory: 19726 grad_norm: 4.4841 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7130 loss: 0.7130 2022/08/09 14:53:05 - mmengine - INFO - Epoch(train) [49][1020/1879] lr: 2.0000e-04 eta: 0:39:04 time: 0.8521 data_time: 0.0193 memory: 19726 grad_norm: 4.5166 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6898 loss: 0.6898 2022/08/09 14:53:22 - mmengine - INFO - Epoch(train) [49][1040/1879] lr: 2.0000e-04 eta: 0:38:47 time: 0.8569 data_time: 0.0192 memory: 19726 grad_norm: 4.2868 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7720 loss: 0.7720 2022/08/09 14:53:39 - mmengine - INFO - Epoch(train) [49][1060/1879] lr: 2.0000e-04 eta: 0:38:30 time: 0.8530 data_time: 0.0206 memory: 19726 grad_norm: 4.3665 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7179 loss: 0.7179 2022/08/09 14:53:56 - mmengine - INFO - Epoch(train) [49][1080/1879] lr: 2.0000e-04 eta: 0:38:13 time: 0.8549 data_time: 0.0193 memory: 19726 grad_norm: 4.5854 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7934 loss: 0.7934 2022/08/09 14:54:13 - mmengine - INFO - Epoch(train) [49][1100/1879] lr: 2.0000e-04 eta: 0:37:55 time: 0.8501 data_time: 0.0196 memory: 19726 grad_norm: 4.5182 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6922 loss: 0.6922 2022/08/09 14:54:30 - mmengine - INFO - Epoch(train) [49][1120/1879] lr: 2.0000e-04 eta: 0:37:38 time: 0.8550 data_time: 0.0196 memory: 19726 grad_norm: 4.4597 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6551 loss: 0.6551 2022/08/09 14:54:47 - mmengine - INFO - Epoch(train) [49][1140/1879] lr: 2.0000e-04 eta: 0:37:21 time: 0.8493 data_time: 0.0186 memory: 19726 grad_norm: 4.2689 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6779 loss: 0.6779 2022/08/09 14:55:04 - mmengine - INFO - Epoch(train) [49][1160/1879] lr: 2.0000e-04 eta: 0:37:04 time: 0.8533 data_time: 0.0202 memory: 19726 grad_norm: 4.4283 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7022 loss: 0.7022 2022/08/09 14:55:22 - mmengine - INFO - Epoch(train) [49][1180/1879] lr: 2.0000e-04 eta: 0:36:47 time: 0.8877 data_time: 0.0255 memory: 19726 grad_norm: 4.3087 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6554 loss: 0.6554 2022/08/09 14:55:39 - mmengine - INFO - Epoch(train) [49][1200/1879] lr: 2.0000e-04 eta: 0:36:30 time: 0.8568 data_time: 0.0185 memory: 19726 grad_norm: 4.6072 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8250 loss: 0.8250 2022/08/09 14:55:56 - mmengine - INFO - Epoch(train) [49][1220/1879] lr: 2.0000e-04 eta: 0:36:13 time: 0.8521 data_time: 0.0186 memory: 19726 grad_norm: 4.4223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6397 loss: 0.6397 2022/08/09 14:56:13 - mmengine - INFO - Epoch(train) [49][1240/1879] lr: 2.0000e-04 eta: 0:35:56 time: 0.8502 data_time: 0.0192 memory: 19726 grad_norm: 4.4495 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8118 loss: 0.8118 2022/08/09 14:56:30 - mmengine - INFO - Epoch(train) [49][1260/1879] lr: 2.0000e-04 eta: 0:35:38 time: 0.8584 data_time: 0.0196 memory: 19726 grad_norm: 4.3669 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7520 loss: 0.7520 2022/08/09 14:56:47 - mmengine - INFO - Epoch(train) [49][1280/1879] lr: 2.0000e-04 eta: 0:35:21 time: 0.8498 data_time: 0.0189 memory: 19726 grad_norm: 4.5254 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6981 loss: 0.6981 2022/08/09 14:57:04 - mmengine - INFO - Epoch(train) [49][1300/1879] lr: 2.0000e-04 eta: 0:35:04 time: 0.8506 data_time: 0.0194 memory: 19726 grad_norm: 4.4592 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6201 loss: 0.6201 2022/08/09 14:57:21 - mmengine - INFO - Epoch(train) [49][1320/1879] lr: 2.0000e-04 eta: 0:34:47 time: 0.8545 data_time: 0.0213 memory: 19726 grad_norm: 4.4328 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6215 loss: 0.6215 2022/08/09 14:57:39 - mmengine - INFO - Epoch(train) [49][1340/1879] lr: 2.0000e-04 eta: 0:34:30 time: 0.8628 data_time: 0.0197 memory: 19726 grad_norm: 4.5112 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6696 loss: 0.6696 2022/08/09 14:57:56 - mmengine - INFO - Epoch(train) [49][1360/1879] lr: 2.0000e-04 eta: 0:34:13 time: 0.8505 data_time: 0.0182 memory: 19726 grad_norm: 4.4981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0121 loss: 1.0121 2022/08/09 14:58:13 - mmengine - INFO - Epoch(train) [49][1380/1879] lr: 2.0000e-04 eta: 0:33:56 time: 0.8573 data_time: 0.0190 memory: 19726 grad_norm: 4.3103 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7685 loss: 0.7685 2022/08/09 14:58:30 - mmengine - INFO - Epoch(train) [49][1400/1879] lr: 2.0000e-04 eta: 0:33:39 time: 0.8583 data_time: 0.0272 memory: 19726 grad_norm: 4.4406 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6857 loss: 0.6857 2022/08/09 14:58:47 - mmengine - INFO - Epoch(train) [49][1420/1879] lr: 2.0000e-04 eta: 0:33:21 time: 0.8564 data_time: 0.0203 memory: 19726 grad_norm: 4.5084 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5928 loss: 0.5928 2022/08/09 14:59:04 - mmengine - INFO - Epoch(train) [49][1440/1879] lr: 2.0000e-04 eta: 0:33:04 time: 0.8523 data_time: 0.0201 memory: 19726 grad_norm: 4.4265 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6989 loss: 0.6989 2022/08/09 14:59:21 - mmengine - INFO - Epoch(train) [49][1460/1879] lr: 2.0000e-04 eta: 0:32:47 time: 0.8552 data_time: 0.0201 memory: 19726 grad_norm: 4.3303 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5321 loss: 0.5321 2022/08/09 14:59:38 - mmengine - INFO - Epoch(train) [49][1480/1879] lr: 2.0000e-04 eta: 0:32:30 time: 0.8485 data_time: 0.0182 memory: 19726 grad_norm: 4.4295 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7892 loss: 0.7892 2022/08/09 14:59:55 - mmengine - INFO - Epoch(train) [49][1500/1879] lr: 2.0000e-04 eta: 0:32:13 time: 0.8510 data_time: 0.0190 memory: 19726 grad_norm: 4.3160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7773 loss: 0.7773 2022/08/09 15:00:13 - mmengine - INFO - Epoch(train) [49][1520/1879] lr: 2.0000e-04 eta: 0:31:56 time: 0.8718 data_time: 0.0222 memory: 19726 grad_norm: 4.4729 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7119 loss: 0.7119 2022/08/09 15:00:30 - mmengine - INFO - Epoch(train) [49][1540/1879] lr: 2.0000e-04 eta: 0:31:39 time: 0.8599 data_time: 0.0222 memory: 19726 grad_norm: 4.5833 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6495 loss: 0.6495 2022/08/09 15:00:47 - mmengine - INFO - Epoch(train) [49][1560/1879] lr: 2.0000e-04 eta: 0:31:22 time: 0.8492 data_time: 0.0189 memory: 19726 grad_norm: 4.3638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7781 loss: 0.7781 2022/08/09 15:01:04 - mmengine - INFO - Epoch(train) [49][1580/1879] lr: 2.0000e-04 eta: 0:31:04 time: 0.8599 data_time: 0.0194 memory: 19726 grad_norm: 4.5717 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6654 loss: 0.6654 2022/08/09 15:01:22 - mmengine - INFO - Epoch(train) [49][1600/1879] lr: 2.0000e-04 eta: 0:30:47 time: 0.8637 data_time: 0.0273 memory: 19726 grad_norm: 4.4247 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6928 loss: 0.6928 2022/08/09 15:01:39 - mmengine - INFO - Epoch(train) [49][1620/1879] lr: 2.0000e-04 eta: 0:30:30 time: 0.8492 data_time: 0.0192 memory: 19726 grad_norm: 4.4893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8693 loss: 0.8693 2022/08/09 15:01:56 - mmengine - INFO - Epoch(train) [49][1640/1879] lr: 2.0000e-04 eta: 0:30:13 time: 0.8566 data_time: 0.0199 memory: 19726 grad_norm: 4.4147 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6270 loss: 0.6270 2022/08/09 15:02:13 - mmengine - INFO - Epoch(train) [49][1660/1879] lr: 2.0000e-04 eta: 0:29:56 time: 0.8531 data_time: 0.0190 memory: 19726 grad_norm: 4.2504 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5993 loss: 0.5993 2022/08/09 15:02:30 - mmengine - INFO - Epoch(train) [49][1680/1879] lr: 2.0000e-04 eta: 0:29:39 time: 0.8548 data_time: 0.0183 memory: 19726 grad_norm: 4.5594 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5486 loss: 0.5486 2022/08/09 15:02:47 - mmengine - INFO - Epoch(train) [49][1700/1879] lr: 2.0000e-04 eta: 0:29:22 time: 0.8488 data_time: 0.0174 memory: 19726 grad_norm: 4.3944 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7192 loss: 0.7192 2022/08/09 15:03:04 - mmengine - INFO - Epoch(train) [49][1720/1879] lr: 2.0000e-04 eta: 0:29:05 time: 0.8524 data_time: 0.0180 memory: 19726 grad_norm: 4.4006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5925 loss: 0.5925 2022/08/09 15:03:21 - mmengine - INFO - Epoch(train) [49][1740/1879] lr: 2.0000e-04 eta: 0:28:47 time: 0.8532 data_time: 0.0207 memory: 19726 grad_norm: 4.3189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.6640 loss: 0.6640 2022/08/09 15:03:38 - mmengine - INFO - Epoch(train) [49][1760/1879] lr: 2.0000e-04 eta: 0:28:30 time: 0.8516 data_time: 0.0190 memory: 19726 grad_norm: 4.4234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7539 loss: 0.7539 2022/08/09 15:03:55 - mmengine - INFO - Epoch(train) [49][1780/1879] lr: 2.0000e-04 eta: 0:28:13 time: 0.8498 data_time: 0.0191 memory: 19726 grad_norm: 4.1802 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6201 loss: 0.6201 2022/08/09 15:04:12 - mmengine - INFO - Epoch(train) [49][1800/1879] lr: 2.0000e-04 eta: 0:27:56 time: 0.8578 data_time: 0.0193 memory: 19726 grad_norm: 4.2426 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6324 loss: 0.6324 2022/08/09 15:04:19 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 15:04:30 - mmengine - INFO - Epoch(train) [49][1820/1879] lr: 2.0000e-04 eta: 0:27:39 time: 0.8641 data_time: 0.0313 memory: 19726 grad_norm: 4.4423 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7800 loss: 0.7800 2022/08/09 15:04:47 - mmengine - INFO - Epoch(train) [49][1840/1879] lr: 2.0000e-04 eta: 0:27:22 time: 0.8524 data_time: 0.0199 memory: 19726 grad_norm: 4.5855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6891 loss: 0.6891 2022/08/09 15:05:04 - mmengine - INFO - Epoch(train) [49][1860/1879] lr: 2.0000e-04 eta: 0:27:05 time: 0.8553 data_time: 0.0189 memory: 19726 grad_norm: 4.3579 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6407 loss: 0.6407 2022/08/09 15:05:20 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 15:05:20 - mmengine - INFO - Epoch(train) [49][1879/1879] lr: 2.0000e-04 eta: 0:27:05 time: 0.8597 data_time: 0.0188 memory: 19726 grad_norm: 4.4994 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6072 loss: 0.6072 2022/08/09 15:05:35 - mmengine - INFO - Epoch(val) [49][20/155] eta: 0:01:39 time: 0.7368 data_time: 0.4974 memory: 2699 2022/08/09 15:05:49 - mmengine - INFO - Epoch(val) [49][40/155] eta: 0:01:19 time: 0.6950 data_time: 0.4563 memory: 2699 2022/08/09 15:05:59 - mmengine - INFO - Epoch(val) [49][60/155] eta: 0:00:50 time: 0.5289 data_time: 0.2926 memory: 2699 2022/08/09 15:06:15 - mmengine - INFO - Epoch(val) [49][80/155] eta: 0:00:58 time: 0.7839 data_time: 0.5475 memory: 2699 2022/08/09 15:06:25 - mmengine - INFO - Epoch(val) [49][100/155] eta: 0:00:26 time: 0.4833 data_time: 0.2468 memory: 2699 2022/08/09 15:06:39 - mmengine - INFO - Epoch(val) [49][120/155] eta: 0:00:25 time: 0.7189 data_time: 0.4827 memory: 2699 2022/08/09 15:06:48 - mmengine - INFO - Epoch(val) [49][140/155] eta: 0:00:06 time: 0.4375 data_time: 0.2036 memory: 2699 2022/08/09 15:06:57 - mmengine - INFO - Epoch(val) [49][155/155] acc/top1: 0.7265 acc/top5: 0.9083 acc/mean1: 0.7264 2022/08/09 15:07:21 - mmengine - INFO - Epoch(train) [50][20/1879] lr: 2.0000e-04 eta: 0:26:31 time: 1.1979 data_time: 0.3490 memory: 19726 grad_norm: 4.3770 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6596 loss: 0.6596 2022/08/09 15:07:38 - mmengine - INFO - Epoch(train) [50][40/1879] lr: 2.0000e-04 eta: 0:26:14 time: 0.8457 data_time: 0.0165 memory: 19726 grad_norm: 4.2000 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7260 loss: 0.7260 2022/08/09 15:07:55 - mmengine - INFO - Epoch(train) [50][60/1879] lr: 2.0000e-04 eta: 0:25:57 time: 0.8639 data_time: 0.0182 memory: 19726 grad_norm: 4.2857 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6114 loss: 0.6114 2022/08/09 15:08:12 - mmengine - INFO - Epoch(train) [50][80/1879] lr: 2.0000e-04 eta: 0:25:40 time: 0.8504 data_time: 0.0189 memory: 19726 grad_norm: 4.2859 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7207 loss: 0.7207 2022/08/09 15:08:29 - mmengine - INFO - Epoch(train) [50][100/1879] lr: 2.0000e-04 eta: 0:25:23 time: 0.8512 data_time: 0.0183 memory: 19726 grad_norm: 4.3729 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6329 loss: 0.6329 2022/08/09 15:08:46 - mmengine - INFO - Epoch(train) [50][120/1879] lr: 2.0000e-04 eta: 0:25:05 time: 0.8517 data_time: 0.0188 memory: 19726 grad_norm: 4.4079 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6660 loss: 0.6660 2022/08/09 15:09:03 - mmengine - INFO - Epoch(train) [50][140/1879] lr: 2.0000e-04 eta: 0:24:48 time: 0.8566 data_time: 0.0176 memory: 19726 grad_norm: 4.2642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6521 loss: 0.6521 2022/08/09 15:09:20 - mmengine - INFO - Epoch(train) [50][160/1879] lr: 2.0000e-04 eta: 0:24:31 time: 0.8530 data_time: 0.0178 memory: 19726 grad_norm: 4.3567 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7665 loss: 0.7665 2022/08/09 15:09:37 - mmengine - INFO - Epoch(train) [50][180/1879] lr: 2.0000e-04 eta: 0:24:14 time: 0.8564 data_time: 0.0177 memory: 19726 grad_norm: 4.3462 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6839 loss: 0.6839 2022/08/09 15:09:54 - mmengine - INFO - Epoch(train) [50][200/1879] lr: 2.0000e-04 eta: 0:23:57 time: 0.8604 data_time: 0.0184 memory: 19726 grad_norm: 4.3142 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7212 loss: 0.7212 2022/08/09 15:10:12 - mmengine - INFO - Epoch(train) [50][220/1879] lr: 2.0000e-04 eta: 0:23:40 time: 0.8671 data_time: 0.0211 memory: 19726 grad_norm: 4.5656 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7491 loss: 0.7491 2022/08/09 15:10:29 - mmengine - INFO - Epoch(train) [50][240/1879] lr: 2.0000e-04 eta: 0:23:23 time: 0.8609 data_time: 0.0184 memory: 19726 grad_norm: 4.2965 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7089 loss: 0.7089 2022/08/09 15:10:46 - mmengine - INFO - Epoch(train) [50][260/1879] lr: 2.0000e-04 eta: 0:23:06 time: 0.8571 data_time: 0.0163 memory: 19726 grad_norm: 4.5189 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6230 loss: 0.6230 2022/08/09 15:11:03 - mmengine - INFO - Epoch(train) [50][280/1879] lr: 2.0000e-04 eta: 0:22:48 time: 0.8631 data_time: 0.0179 memory: 19726 grad_norm: 4.5295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7241 loss: 0.7241 2022/08/09 15:11:21 - mmengine - INFO - Epoch(train) [50][300/1879] lr: 2.0000e-04 eta: 0:22:31 time: 0.8538 data_time: 0.0168 memory: 19726 grad_norm: 4.4140 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7073 loss: 0.7073 2022/08/09 15:11:38 - mmengine - INFO - Epoch(train) [50][320/1879] lr: 2.0000e-04 eta: 0:22:14 time: 0.8598 data_time: 0.0226 memory: 19726 grad_norm: 4.5479 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7302 loss: 0.7302 2022/08/09 15:11:55 - mmengine - INFO - Epoch(train) [50][340/1879] lr: 2.0000e-04 eta: 0:21:57 time: 0.8606 data_time: 0.0176 memory: 19726 grad_norm: 4.4771 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6685 loss: 0.6685 2022/08/09 15:12:12 - mmengine - INFO - Epoch(train) [50][360/1879] lr: 2.0000e-04 eta: 0:21:40 time: 0.8533 data_time: 0.0185 memory: 19726 grad_norm: 4.3137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7213 loss: 0.7213 2022/08/09 15:12:29 - mmengine - INFO - Epoch(train) [50][380/1879] lr: 2.0000e-04 eta: 0:21:23 time: 0.8588 data_time: 0.0184 memory: 19726 grad_norm: 4.4599 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7889 loss: 0.7889 2022/08/09 15:12:46 - mmengine - INFO - Epoch(train) [50][400/1879] lr: 2.0000e-04 eta: 0:21:06 time: 0.8609 data_time: 0.0258 memory: 19726 grad_norm: 4.4011 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6928 loss: 0.6928 2022/08/09 15:13:04 - mmengine - INFO - Epoch(train) [50][420/1879] lr: 2.0000e-04 eta: 0:20:49 time: 0.8615 data_time: 0.0173 memory: 19726 grad_norm: 4.3596 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7036 loss: 0.7036 2022/08/09 15:13:21 - mmengine - INFO - Epoch(train) [50][440/1879] lr: 2.0000e-04 eta: 0:20:31 time: 0.8595 data_time: 0.0184 memory: 19726 grad_norm: 4.3827 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7697 loss: 0.7697 2022/08/09 15:13:38 - mmengine - INFO - Epoch(train) [50][460/1879] lr: 2.0000e-04 eta: 0:20:14 time: 0.8542 data_time: 0.0181 memory: 19726 grad_norm: 4.3558 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6275 loss: 0.6275 2022/08/09 15:13:55 - mmengine - INFO - Epoch(train) [50][480/1879] lr: 2.0000e-04 eta: 0:19:57 time: 0.8588 data_time: 0.0179 memory: 19726 grad_norm: 4.3901 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6247 loss: 0.6247 2022/08/09 15:14:12 - mmengine - INFO - Epoch(train) [50][500/1879] lr: 2.0000e-04 eta: 0:19:40 time: 0.8529 data_time: 0.0171 memory: 19726 grad_norm: 4.5263 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6623 loss: 0.6623 2022/08/09 15:14:29 - mmengine - INFO - Epoch(train) [50][520/1879] lr: 2.0000e-04 eta: 0:19:23 time: 0.8581 data_time: 0.0170 memory: 19726 grad_norm: 4.4130 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6651 loss: 0.6651 2022/08/09 15:14:47 - mmengine - INFO - Epoch(train) [50][540/1879] lr: 2.0000e-04 eta: 0:19:06 time: 0.8540 data_time: 0.0176 memory: 19726 grad_norm: 4.4046 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6610 loss: 0.6610 2022/08/09 15:15:04 - mmengine - INFO - Epoch(train) [50][560/1879] lr: 2.0000e-04 eta: 0:18:49 time: 0.8571 data_time: 0.0198 memory: 19726 grad_norm: 4.3650 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6222 loss: 0.6222 2022/08/09 15:15:21 - mmengine - INFO - Epoch(train) [50][580/1879] lr: 2.0000e-04 eta: 0:18:32 time: 0.8671 data_time: 0.0230 memory: 19726 grad_norm: 4.3547 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6301 loss: 0.6301 2022/08/09 15:15:38 - mmengine - INFO - Epoch(train) [50][600/1879] lr: 2.0000e-04 eta: 0:18:15 time: 0.8637 data_time: 0.0178 memory: 19726 grad_norm: 4.4230 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5727 loss: 0.5727 2022/08/09 15:15:56 - mmengine - INFO - Epoch(train) [50][620/1879] lr: 2.0000e-04 eta: 0:17:57 time: 0.8641 data_time: 0.0176 memory: 19726 grad_norm: 4.3234 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6256 loss: 0.6256 2022/08/09 15:16:13 - mmengine - INFO - Epoch(train) [50][640/1879] lr: 2.0000e-04 eta: 0:17:40 time: 0.8654 data_time: 0.0182 memory: 19726 grad_norm: 4.3536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6407 loss: 0.6407 2022/08/09 15:16:30 - mmengine - INFO - Epoch(train) [50][660/1879] lr: 2.0000e-04 eta: 0:17:23 time: 0.8554 data_time: 0.0167 memory: 19726 grad_norm: 4.3027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5305 loss: 0.5305 2022/08/09 15:16:47 - mmengine - INFO - Epoch(train) [50][680/1879] lr: 2.0000e-04 eta: 0:17:06 time: 0.8613 data_time: 0.0177 memory: 19726 grad_norm: 4.4536 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6858 loss: 0.6858 2022/08/09 15:17:04 - mmengine - INFO - Epoch(train) [50][700/1879] lr: 2.0000e-04 eta: 0:16:49 time: 0.8539 data_time: 0.0160 memory: 19726 grad_norm: 4.3718 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7058 loss: 0.7058 2022/08/09 15:17:22 - mmengine - INFO - Epoch(train) [50][720/1879] lr: 2.0000e-04 eta: 0:16:32 time: 0.8608 data_time: 0.0239 memory: 19726 grad_norm: 4.2436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5675 loss: 0.5675 2022/08/09 15:17:39 - mmengine - INFO - Epoch(train) [50][740/1879] lr: 2.0000e-04 eta: 0:16:15 time: 0.8529 data_time: 0.0191 memory: 19726 grad_norm: 4.4837 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7329 loss: 0.7329 2022/08/09 15:17:56 - mmengine - INFO - Epoch(train) [50][760/1879] lr: 2.0000e-04 eta: 0:15:58 time: 0.8563 data_time: 0.0193 memory: 19726 grad_norm: 4.3412 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7752 loss: 0.7752 2022/08/09 15:18:13 - mmengine - INFO - Epoch(train) [50][780/1879] lr: 2.0000e-04 eta: 0:15:40 time: 0.8616 data_time: 0.0185 memory: 19726 grad_norm: 4.4734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8017 loss: 0.8017 2022/08/09 15:18:30 - mmengine - INFO - Epoch(train) [50][800/1879] lr: 2.0000e-04 eta: 0:15:23 time: 0.8543 data_time: 0.0175 memory: 19726 grad_norm: 4.5026 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6575 loss: 0.6575 2022/08/09 15:18:47 - mmengine - INFO - Epoch(train) [50][820/1879] lr: 2.0000e-04 eta: 0:15:06 time: 0.8581 data_time: 0.0175 memory: 19726 grad_norm: 4.4566 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8358 loss: 0.8358 2022/08/09 15:19:05 - mmengine - INFO - Epoch(train) [50][840/1879] lr: 2.0000e-04 eta: 0:14:49 time: 0.8614 data_time: 0.0208 memory: 19726 grad_norm: 4.3262 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7312 loss: 0.7312 2022/08/09 15:19:22 - mmengine - INFO - Epoch(train) [50][860/1879] lr: 2.0000e-04 eta: 0:14:32 time: 0.8600 data_time: 0.0192 memory: 19726 grad_norm: 4.6608 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.6942 loss: 0.6942 2022/08/09 15:19:39 - mmengine - INFO - Epoch(train) [50][880/1879] lr: 2.0000e-04 eta: 0:14:15 time: 0.8526 data_time: 0.0196 memory: 19726 grad_norm: 4.4586 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6725 loss: 0.6725 2022/08/09 15:19:56 - mmengine - INFO - Epoch(train) [50][900/1879] lr: 2.0000e-04 eta: 0:13:58 time: 0.8595 data_time: 0.0191 memory: 19726 grad_norm: 4.6039 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8553 loss: 0.8553 2022/08/09 15:20:13 - mmengine - INFO - Epoch(train) [50][920/1879] lr: 2.0000e-04 eta: 0:13:41 time: 0.8614 data_time: 0.0198 memory: 19726 grad_norm: 4.4862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8507 loss: 0.8507 2022/08/09 15:20:21 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 15:20:30 - mmengine - INFO - Epoch(train) [50][940/1879] lr: 2.0000e-04 eta: 0:13:23 time: 0.8549 data_time: 0.0183 memory: 19726 grad_norm: 4.4618 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6406 loss: 0.6406 2022/08/09 15:20:47 - mmengine - INFO - Epoch(train) [50][960/1879] lr: 2.0000e-04 eta: 0:13:06 time: 0.8533 data_time: 0.0181 memory: 19726 grad_norm: 4.3772 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5544 loss: 0.5544 2022/08/09 15:21:05 - mmengine - INFO - Epoch(train) [50][980/1879] lr: 2.0000e-04 eta: 0:12:49 time: 0.8538 data_time: 0.0189 memory: 19726 grad_norm: 4.5561 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6814 loss: 0.6814 2022/08/09 15:21:22 - mmengine - INFO - Epoch(train) [50][1000/1879] lr: 2.0000e-04 eta: 0:12:32 time: 0.8535 data_time: 0.0192 memory: 19726 grad_norm: 4.4667 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9408 loss: 0.9408 2022/08/09 15:21:39 - mmengine - INFO - Epoch(train) [50][1020/1879] lr: 2.0000e-04 eta: 0:12:15 time: 0.8549 data_time: 0.0186 memory: 19726 grad_norm: 4.4682 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7359 loss: 0.7359 2022/08/09 15:21:56 - mmengine - INFO - Epoch(train) [50][1040/1879] lr: 2.0000e-04 eta: 0:11:58 time: 0.8528 data_time: 0.0170 memory: 19726 grad_norm: 4.4073 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6816 loss: 0.6816 2022/08/09 15:22:13 - mmengine - INFO - Epoch(train) [50][1060/1879] lr: 2.0000e-04 eta: 0:11:41 time: 0.8523 data_time: 0.0193 memory: 19726 grad_norm: 4.5617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8144 loss: 0.8144 2022/08/09 15:22:30 - mmengine - INFO - Epoch(train) [50][1080/1879] lr: 2.0000e-04 eta: 0:11:24 time: 0.8498 data_time: 0.0182 memory: 19726 grad_norm: 4.4206 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7230 loss: 0.7230 2022/08/09 15:22:47 - mmengine - INFO - Epoch(train) [50][1100/1879] lr: 2.0000e-04 eta: 0:11:06 time: 0.8519 data_time: 0.0187 memory: 19726 grad_norm: 4.4710 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6858 loss: 0.6858 2022/08/09 15:23:04 - mmengine - INFO - Epoch(train) [50][1120/1879] lr: 2.0000e-04 eta: 0:10:49 time: 0.8517 data_time: 0.0191 memory: 19726 grad_norm: 4.3894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7432 loss: 0.7432 2022/08/09 15:23:21 - mmengine - INFO - Epoch(train) [50][1140/1879] lr: 2.0000e-04 eta: 0:10:32 time: 0.8559 data_time: 0.0192 memory: 19726 grad_norm: 4.5986 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8426 loss: 0.8426 2022/08/09 15:23:38 - mmengine - INFO - Epoch(train) [50][1160/1879] lr: 2.0000e-04 eta: 0:10:15 time: 0.8584 data_time: 0.0282 memory: 19726 grad_norm: 4.4529 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6614 loss: 0.6614 2022/08/09 15:23:55 - mmengine - INFO - Epoch(train) [50][1180/1879] lr: 2.0000e-04 eta: 0:09:58 time: 0.8589 data_time: 0.0186 memory: 19726 grad_norm: 4.4354 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6993 loss: 0.6993 2022/08/09 15:24:13 - mmengine - INFO - Epoch(train) [50][1200/1879] lr: 2.0000e-04 eta: 0:09:41 time: 0.8567 data_time: 0.0173 memory: 19726 grad_norm: 4.3064 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7601 loss: 0.7601 2022/08/09 15:24:30 - mmengine - INFO - Epoch(train) [50][1220/1879] lr: 2.0000e-04 eta: 0:09:24 time: 0.8574 data_time: 0.0189 memory: 19726 grad_norm: 4.3932 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6400 loss: 0.6400 2022/08/09 15:24:47 - mmengine - INFO - Epoch(train) [50][1240/1879] lr: 2.0000e-04 eta: 0:09:07 time: 0.8528 data_time: 0.0155 memory: 19726 grad_norm: 4.3215 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7326 loss: 0.7326 2022/08/09 15:25:04 - mmengine - INFO - Epoch(train) [50][1260/1879] lr: 2.0000e-04 eta: 0:08:49 time: 0.8607 data_time: 0.0241 memory: 19726 grad_norm: 4.3123 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5864 loss: 0.5864 2022/08/09 15:25:21 - mmengine - INFO - Epoch(train) [50][1280/1879] lr: 2.0000e-04 eta: 0:08:32 time: 0.8627 data_time: 0.0184 memory: 19726 grad_norm: 4.4047 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7795 loss: 0.7795 2022/08/09 15:25:38 - mmengine - INFO - Epoch(train) [50][1300/1879] lr: 2.0000e-04 eta: 0:08:15 time: 0.8547 data_time: 0.0175 memory: 19726 grad_norm: 4.4565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6989 loss: 0.6989 2022/08/09 15:25:56 - mmengine - INFO - Epoch(train) [50][1320/1879] lr: 2.0000e-04 eta: 0:07:58 time: 0.8575 data_time: 0.0214 memory: 19726 grad_norm: 4.4855 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8583 loss: 0.8583 2022/08/09 15:26:13 - mmengine - INFO - Epoch(train) [50][1340/1879] lr: 2.0000e-04 eta: 0:07:41 time: 0.8596 data_time: 0.0171 memory: 19726 grad_norm: 4.5283 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6863 loss: 0.6863 2022/08/09 15:26:30 - mmengine - INFO - Epoch(train) [50][1360/1879] lr: 2.0000e-04 eta: 0:07:24 time: 0.8513 data_time: 0.0184 memory: 19726 grad_norm: 4.3734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7712 loss: 0.7712 2022/08/09 15:26:47 - mmengine - INFO - Epoch(train) [50][1380/1879] lr: 2.0000e-04 eta: 0:07:07 time: 0.8590 data_time: 0.0176 memory: 19726 grad_norm: 4.5367 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7368 loss: 0.7368 2022/08/09 15:27:04 - mmengine - INFO - Epoch(train) [50][1400/1879] lr: 2.0000e-04 eta: 0:06:50 time: 0.8603 data_time: 0.0191 memory: 19726 grad_norm: 4.5310 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6481 loss: 0.6481 2022/08/09 15:27:21 - mmengine - INFO - Epoch(train) [50][1420/1879] lr: 2.0000e-04 eta: 0:06:32 time: 0.8599 data_time: 0.0177 memory: 19726 grad_norm: 4.4659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6703 loss: 0.6703 2022/08/09 15:27:39 - mmengine - INFO - Epoch(train) [50][1440/1879] lr: 2.0000e-04 eta: 0:06:15 time: 0.8566 data_time: 0.0186 memory: 19726 grad_norm: 4.4735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6809 loss: 0.6809 2022/08/09 15:27:56 - mmengine - INFO - Epoch(train) [50][1460/1879] lr: 2.0000e-04 eta: 0:05:58 time: 0.8584 data_time: 0.0170 memory: 19726 grad_norm: 4.5209 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7853 loss: 0.7853 2022/08/09 15:28:13 - mmengine - INFO - Epoch(train) [50][1480/1879] lr: 2.0000e-04 eta: 0:05:41 time: 0.8534 data_time: 0.0172 memory: 19726 grad_norm: 4.2742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7079 loss: 0.7079 2022/08/09 15:28:30 - mmengine - INFO - Epoch(train) [50][1500/1879] lr: 2.0000e-04 eta: 0:05:24 time: 0.8572 data_time: 0.0177 memory: 19726 grad_norm: 4.6194 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7203 loss: 0.7203 2022/08/09 15:28:47 - mmengine - INFO - Epoch(train) [50][1520/1879] lr: 2.0000e-04 eta: 0:05:07 time: 0.8572 data_time: 0.0182 memory: 19726 grad_norm: 4.3267 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6172 loss: 0.6172 2022/08/09 15:29:04 - mmengine - INFO - Epoch(train) [50][1540/1879] lr: 2.0000e-04 eta: 0:04:50 time: 0.8614 data_time: 0.0196 memory: 19726 grad_norm: 4.4190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6762 loss: 0.6762 2022/08/09 15:29:21 - mmengine - INFO - Epoch(train) [50][1560/1879] lr: 2.0000e-04 eta: 0:04:33 time: 0.8549 data_time: 0.0173 memory: 19726 grad_norm: 4.3992 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7122 loss: 0.7122 2022/08/09 15:29:39 - mmengine - INFO - Epoch(train) [50][1580/1879] lr: 2.0000e-04 eta: 0:04:15 time: 0.8566 data_time: 0.0195 memory: 19726 grad_norm: 4.3273 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6621 loss: 0.6621 2022/08/09 15:29:56 - mmengine - INFO - Epoch(train) [50][1600/1879] lr: 2.0000e-04 eta: 0:03:58 time: 0.8573 data_time: 0.0180 memory: 19726 grad_norm: 4.5795 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7276 loss: 0.7276 2022/08/09 15:30:13 - mmengine - INFO - Epoch(train) [50][1620/1879] lr: 2.0000e-04 eta: 0:03:41 time: 0.8592 data_time: 0.0182 memory: 19726 grad_norm: 4.4760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8169 loss: 0.8169 2022/08/09 15:30:30 - mmengine - INFO - Epoch(train) [50][1640/1879] lr: 2.0000e-04 eta: 0:03:24 time: 0.8532 data_time: 0.0170 memory: 19726 grad_norm: 4.5156 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.6492 loss: 0.6492 2022/08/09 15:30:47 - mmengine - INFO - Epoch(train) [50][1660/1879] lr: 2.0000e-04 eta: 0:03:07 time: 0.8568 data_time: 0.0179 memory: 19726 grad_norm: 4.5262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7662 loss: 0.7662 2022/08/09 15:31:04 - mmengine - INFO - Epoch(train) [50][1680/1879] lr: 2.0000e-04 eta: 0:02:50 time: 0.8545 data_time: 0.0185 memory: 19726 grad_norm: 4.4048 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 0.6542 loss: 0.6542 2022/08/09 15:31:21 - mmengine - INFO - Epoch(train) [50][1700/1879] lr: 2.0000e-04 eta: 0:02:33 time: 0.8571 data_time: 0.0184 memory: 19726 grad_norm: 4.4226 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7040 loss: 0.7040 2022/08/09 15:31:38 - mmengine - INFO - Epoch(train) [50][1720/1879] lr: 2.0000e-04 eta: 0:02:16 time: 0.8531 data_time: 0.0193 memory: 19726 grad_norm: 4.5388 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.6416 loss: 0.6416 2022/08/09 15:31:56 - mmengine - INFO - Epoch(train) [50][1740/1879] lr: 2.0000e-04 eta: 0:01:59 time: 0.8540 data_time: 0.0174 memory: 19726 grad_norm: 4.4865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8620 loss: 0.8620 2022/08/09 15:32:13 - mmengine - INFO - Epoch(train) [50][1760/1879] lr: 2.0000e-04 eta: 0:01:41 time: 0.8568 data_time: 0.0182 memory: 19726 grad_norm: 4.4691 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7003 loss: 0.7003 2022/08/09 15:32:30 - mmengine - INFO - Epoch(train) [50][1780/1879] lr: 2.0000e-04 eta: 0:01:24 time: 0.8547 data_time: 0.0175 memory: 19726 grad_norm: 4.4351 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6808 loss: 0.6808 2022/08/09 15:32:47 - mmengine - INFO - Epoch(train) [50][1800/1879] lr: 2.0000e-04 eta: 0:01:07 time: 0.8535 data_time: 0.0184 memory: 19726 grad_norm: 4.5484 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8451 loss: 0.8451 2022/08/09 15:33:04 - mmengine - INFO - Epoch(train) [50][1820/1879] lr: 2.0000e-04 eta: 0:00:50 time: 0.8549 data_time: 0.0176 memory: 19726 grad_norm: 4.4452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6378 loss: 0.6378 2022/08/09 15:33:21 - mmengine - INFO - Epoch(train) [50][1840/1879] lr: 2.0000e-04 eta: 0:00:33 time: 0.8512 data_time: 0.0192 memory: 19726 grad_norm: 4.3831 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7327 loss: 0.7327 2022/08/09 15:33:38 - mmengine - INFO - Epoch(train) [50][1860/1879] lr: 2.0000e-04 eta: 0:00:16 time: 0.8516 data_time: 0.0157 memory: 19726 grad_norm: 4.5544 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6361 loss: 0.6361 2022/08/09 15:33:54 - mmengine - INFO - Exp name: tsm_nl_embedded_gaussian_r50_1x1x8_50e_kinetics400_rgb_20220808_153012 2022/08/09 15:33:54 - mmengine - INFO - Epoch(train) [50][1879/1879] lr: 2.0000e-04 eta: 0:00:16 time: 0.8325 data_time: 0.0177 memory: 19726 grad_norm: 4.5082 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7550 loss: 0.7550 2022/08/09 15:33:54 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/08/09 15:34:12 - mmengine - INFO - Epoch(val) [50][20/155] eta: 0:01:46 time: 0.7895 data_time: 0.5498 memory: 2699 2022/08/09 15:34:24 - mmengine - INFO - Epoch(val) [50][40/155] eta: 0:01:05 time: 0.5682 data_time: 0.3288 memory: 2699 2022/08/09 15:34:35 - mmengine - INFO - Epoch(val) [50][60/155] eta: 0:00:52 time: 0.5501 data_time: 0.3140 memory: 2699 2022/08/09 15:34:48 - mmengine - INFO - Epoch(val) [50][80/155] eta: 0:00:49 time: 0.6584 data_time: 0.4208 memory: 2699 2022/08/09 15:34:58 - mmengine - INFO - Epoch(val) [50][100/155] eta: 0:00:27 time: 0.5073 data_time: 0.2697 memory: 2699 2022/08/09 15:35:13 - mmengine - INFO - Epoch(val) [50][120/155] eta: 0:00:26 time: 0.7650 data_time: 0.5285 memory: 2699 2022/08/09 15:35:26 - mmengine - INFO - Epoch(val) [50][140/155] eta: 0:00:09 time: 0.6135 data_time: 0.3794 memory: 2699 2022/08/09 15:35:36 - mmengine - INFO - Epoch(val) [50][155/155] acc/top1: 0.7279 acc/top5: 0.9079 acc/mean1: 0.7278