2022/07/31 22:46:44 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/07/31 22:46:44 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb by HardDiskBackend. 2022/07/31 22:47:38 - mmengine - INFO - Epoch(train) [1][20/940] lr: 1.0000e-02 eta: 2 days, 23:04:21 time: 2.7225 data_time: 2.1854 memory: 16342 grad_norm: 0.8668 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9747 loss: 5.9747 2022/07/31 22:47:52 - mmengine - INFO - Epoch(train) [1][40/940] lr: 1.0000e-02 eta: 1 day, 20:11:40 time: 0.6640 data_time: 0.2712 memory: 13616 grad_norm: 0.9613 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9024 loss: 5.9024 2022/07/31 22:48:09 - mmengine - INFO - Epoch(train) [1][60/940] lr: 1.0000e-02 eta: 1 day, 13:11:31 time: 0.8893 data_time: 0.3464 memory: 13616 grad_norm: 1.1777 top1_acc: 0.0312 top5_acc: 0.1562 loss_cls: 5.8036 loss: 5.8036 2022/07/31 22:48:27 - mmengine - INFO - Epoch(train) [1][80/940] lr: 1.0000e-02 eta: 1 day, 9:40:19 time: 0.8868 data_time: 0.0314 memory: 13616 grad_norm: 1.4179 top1_acc: 0.1250 top5_acc: 0.2812 loss_cls: 5.5781 loss: 5.5781 2022/07/31 22:48:41 - mmengine - INFO - Epoch(train) [1][100/940] lr: 1.0000e-02 eta: 1 day, 6:36:56 time: 0.7061 data_time: 0.0353 memory: 13616 grad_norm: 1.6706 top1_acc: 0.0938 top5_acc: 0.1875 loss_cls: 5.3027 loss: 5.3027 2022/07/31 22:48:58 - mmengine - INFO - Epoch(train) [1][120/940] lr: 1.0000e-02 eta: 1 day, 5:03:52 time: 0.8184 data_time: 0.0314 memory: 13616 grad_norm: 1.9280 top1_acc: 0.1875 top5_acc: 0.3438 loss_cls: 4.8998 loss: 4.8998 2022/07/31 22:49:11 - mmengine - INFO - Epoch(train) [1][140/940] lr: 1.0000e-02 eta: 1 day, 3:26:13 time: 0.6793 data_time: 0.0401 memory: 13616 grad_norm: 2.1249 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.7109 loss: 4.7109 2022/07/31 22:49:29 - mmengine - INFO - Epoch(train) [1][160/940] lr: 1.0000e-02 eta: 1 day, 2:51:39 time: 0.8773 data_time: 0.0474 memory: 13616 grad_norm: 2.2708 top1_acc: 0.1250 top5_acc: 0.4062 loss_cls: 4.3477 loss: 4.3477 2022/07/31 22:49:43 - mmengine - INFO - Epoch(train) [1][180/940] lr: 1.0000e-02 eta: 1 day, 1:53:47 time: 0.6993 data_time: 0.0361 memory: 13616 grad_norm: 2.3902 top1_acc: 0.2500 top5_acc: 0.4688 loss_cls: 4.2153 loss: 4.2153 2022/07/31 22:49:59 - mmengine - INFO - Epoch(train) [1][200/940] lr: 1.0000e-02 eta: 1 day, 1:24:23 time: 0.8078 data_time: 0.0324 memory: 13616 grad_norm: 2.4797 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 3.8768 loss: 3.8768 2022/07/31 22:50:14 - mmengine - INFO - Epoch(train) [1][220/940] lr: 1.0000e-02 eta: 1 day, 0:57:04 time: 0.7851 data_time: 0.0343 memory: 13616 grad_norm: 2.5475 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.8456 loss: 3.8456 2022/07/31 22:50:28 - mmengine - INFO - Epoch(train) [1][240/940] lr: 1.0000e-02 eta: 1 day, 0:20:21 time: 0.6784 data_time: 0.0321 memory: 13616 grad_norm: 2.6006 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 3.6954 loss: 3.6954 2022/07/31 22:50:44 - mmengine - INFO - Epoch(train) [1][260/940] lr: 1.0000e-02 eta: 1 day, 0:05:52 time: 0.8165 data_time: 0.0409 memory: 13616 grad_norm: 2.6613 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 3.5401 loss: 3.5401 2022/07/31 22:50:57 - mmengine - INFO - Epoch(train) [1][280/940] lr: 1.0000e-02 eta: 23:34:27 time: 0.6467 data_time: 0.0342 memory: 13616 grad_norm: 2.6800 top1_acc: 0.2812 top5_acc: 0.5000 loss_cls: 3.5412 loss: 3.5412 2022/07/31 22:51:15 - mmengine - INFO - Epoch(train) [1][300/940] lr: 1.0000e-02 eta: 23:33:42 time: 0.9012 data_time: 0.0418 memory: 13616 grad_norm: 2.7399 top1_acc: 0.2188 top5_acc: 0.4688 loss_cls: 3.4219 loss: 3.4219 2022/07/31 22:51:30 - mmengine - INFO - Epoch(train) [1][320/940] lr: 1.0000e-02 eta: 23:17:03 time: 0.7378 data_time: 0.0578 memory: 13616 grad_norm: 2.7476 top1_acc: 0.2812 top5_acc: 0.5000 loss_cls: 3.3301 loss: 3.3301 2022/07/31 22:51:46 - mmengine - INFO - Epoch(train) [1][340/940] lr: 1.0000e-02 eta: 23:09:12 time: 0.8125 data_time: 0.0321 memory: 13616 grad_norm: 2.7708 top1_acc: 0.2812 top5_acc: 0.5312 loss_cls: 3.2535 loss: 3.2535 2022/07/31 22:52:02 - mmengine - INFO - Epoch(train) [1][360/940] lr: 1.0000e-02 eta: 22:57:28 time: 0.7580 data_time: 0.0372 memory: 13616 grad_norm: 2.7883 top1_acc: 0.3438 top5_acc: 0.5312 loss_cls: 3.1622 loss: 3.1622 2022/07/31 22:52:20 - mmengine - INFO - Epoch(train) [1][380/940] lr: 1.0000e-02 eta: 23:00:49 time: 0.9270 data_time: 0.0348 memory: 13616 grad_norm: 2.7833 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.1797 loss: 3.1797 2022/07/31 22:52:33 - mmengine - INFO - Epoch(train) [1][400/940] lr: 1.0000e-02 eta: 22:43:16 time: 0.6637 data_time: 0.0332 memory: 13616 grad_norm: 2.8220 top1_acc: 0.2188 top5_acc: 0.5000 loss_cls: 3.1121 loss: 3.1121 2022/07/31 22:52:50 - mmengine - INFO - Epoch(train) [1][420/940] lr: 1.0000e-02 eta: 22:41:08 time: 0.8490 data_time: 0.0396 memory: 13616 grad_norm: 2.8392 top1_acc: 0.2188 top5_acc: 0.4062 loss_cls: 3.1053 loss: 3.1053 2022/07/31 22:53:05 - mmengine - INFO - Epoch(train) [1][440/940] lr: 1.0000e-02 eta: 22:29:33 time: 0.7136 data_time: 0.0339 memory: 13616 grad_norm: 2.8979 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 3.0437 loss: 3.0437 2022/07/31 22:53:22 - mmengine - INFO - Epoch(train) [1][460/940] lr: 1.0000e-02 eta: 22:31:15 time: 0.8947 data_time: 0.0332 memory: 13616 grad_norm: 2.8808 top1_acc: 0.2812 top5_acc: 0.5625 loss_cls: 2.9212 loss: 2.9212 2022/07/31 22:53:36 - mmengine - INFO - Epoch(train) [1][480/940] lr: 1.0000e-02 eta: 22:18:42 time: 0.6780 data_time: 0.0306 memory: 13616 grad_norm: 2.9236 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 3.0270 loss: 3.0270 2022/07/31 22:53:52 - mmengine - INFO - Epoch(train) [1][500/940] lr: 1.0000e-02 eta: 22:14:48 time: 0.8011 data_time: 0.0385 memory: 13616 grad_norm: 2.9016 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 3.0285 loss: 3.0285 2022/07/31 22:54:05 - mmengine - INFO - Epoch(train) [1][520/940] lr: 1.0000e-02 eta: 22:03:02 time: 0.6650 data_time: 0.0475 memory: 13616 grad_norm: 2.9169 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8995 loss: 2.8995 2022/07/31 22:54:22 - mmengine - INFO - Epoch(train) [1][540/940] lr: 1.0000e-02 eta: 22:02:12 time: 0.8394 data_time: 0.0325 memory: 13616 grad_norm: 2.8975 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.8817 loss: 2.8817 2022/07/31 22:54:36 - mmengine - INFO - Epoch(train) [1][560/940] lr: 1.0000e-02 eta: 21:52:56 time: 0.6875 data_time: 0.0373 memory: 13616 grad_norm: 2.9318 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.8398 loss: 2.8398 2022/07/31 22:54:54 - mmengine - INFO - Epoch(train) [1][580/940] lr: 1.0000e-02 eta: 21:55:14 time: 0.8912 data_time: 0.0298 memory: 13616 grad_norm: 2.9493 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8029 loss: 2.8029 2022/07/31 22:55:08 - mmengine - INFO - Epoch(train) [1][600/940] lr: 1.0000e-02 eta: 21:47:00 time: 0.6915 data_time: 0.0458 memory: 13616 grad_norm: 2.9665 top1_acc: 0.3438 top5_acc: 0.5000 loss_cls: 2.8317 loss: 2.8317 2022/07/31 22:55:24 - mmengine - INFO - Epoch(train) [1][620/940] lr: 1.0000e-02 eta: 21:46:08 time: 0.8279 data_time: 0.0320 memory: 13616 grad_norm: 2.9569 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7031 loss: 2.7031 2022/07/31 22:55:38 - mmengine - INFO - Epoch(train) [1][640/940] lr: 1.0000e-02 eta: 21:38:19 time: 0.6844 data_time: 0.0367 memory: 13616 grad_norm: 2.9587 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8050 loss: 2.8050 2022/07/31 22:55:56 - mmengine - INFO - Epoch(train) [1][660/940] lr: 1.0000e-02 eta: 21:40:48 time: 0.8929 data_time: 0.0318 memory: 13616 grad_norm: 3.0105 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.7578 loss: 2.7578 2022/07/31 22:56:09 - mmengine - INFO - Epoch(train) [1][680/940] lr: 1.0000e-02 eta: 21:33:46 time: 0.6884 data_time: 0.0338 memory: 13616 grad_norm: 3.0112 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.6935 loss: 2.6935 2022/07/31 22:56:26 - mmengine - INFO - Epoch(train) [1][700/940] lr: 1.0000e-02 eta: 21:34:23 time: 0.8520 data_time: 0.0389 memory: 13616 grad_norm: 3.0226 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.6987 loss: 2.6987 2022/07/31 22:56:40 - mmengine - INFO - Epoch(train) [1][720/940] lr: 1.0000e-02 eta: 21:27:15 time: 0.6737 data_time: 0.0400 memory: 13616 grad_norm: 3.0393 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.7820 loss: 2.7820 2022/07/31 22:56:57 - mmengine - INFO - Epoch(train) [1][740/940] lr: 1.0000e-02 eta: 21:27:56 time: 0.8506 data_time: 0.0288 memory: 13616 grad_norm: 3.0236 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.8304 loss: 2.8304 2022/07/31 22:57:10 - mmengine - INFO - Epoch(train) [1][760/940] lr: 1.0000e-02 eta: 21:20:37 time: 0.6567 data_time: 0.0354 memory: 13616 grad_norm: 3.0087 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.7430 loss: 2.7430 2022/07/31 22:57:27 - mmengine - INFO - Epoch(train) [1][780/940] lr: 1.0000e-02 eta: 21:21:18 time: 0.8482 data_time: 0.0327 memory: 13616 grad_norm: 3.0245 top1_acc: 0.3438 top5_acc: 0.5000 loss_cls: 2.6204 loss: 2.6204 2022/07/31 22:57:41 - mmengine - INFO - Epoch(train) [1][800/940] lr: 1.0000e-02 eta: 21:16:25 time: 0.7057 data_time: 0.0415 memory: 13616 grad_norm: 3.0726 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6524 loss: 2.6524 2022/07/31 22:57:57 - mmengine - INFO - Epoch(train) [1][820/940] lr: 1.0000e-02 eta: 21:15:24 time: 0.8024 data_time: 0.0313 memory: 13616 grad_norm: 3.0423 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 2.6298 loss: 2.6298 2022/07/31 22:58:11 - mmengine - INFO - Epoch(train) [1][840/940] lr: 1.0000e-02 eta: 21:10:36 time: 0.6985 data_time: 0.0356 memory: 13616 grad_norm: 3.0276 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.5002 loss: 2.5002 2022/07/31 22:58:27 - mmengine - INFO - Epoch(train) [1][860/940] lr: 1.0000e-02 eta: 21:09:34 time: 0.7976 data_time: 0.0329 memory: 13616 grad_norm: 3.1060 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.6417 loss: 2.6417 2022/07/31 22:58:41 - mmengine - INFO - Epoch(train) [1][880/940] lr: 1.0000e-02 eta: 21:05:39 time: 0.7143 data_time: 0.0395 memory: 13616 grad_norm: 3.0234 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.5026 loss: 2.5026 2022/07/31 22:58:58 - mmengine - INFO - Epoch(train) [1][900/940] lr: 1.0000e-02 eta: 21:05:12 time: 0.8105 data_time: 0.0322 memory: 13616 grad_norm: 3.0693 top1_acc: 0.3125 top5_acc: 0.4688 loss_cls: 2.5966 loss: 2.5966 2022/07/31 22:59:12 - mmengine - INFO - Epoch(train) [1][920/940] lr: 1.0000e-02 eta: 21:01:00 time: 0.6989 data_time: 0.0365 memory: 13616 grad_norm: 3.1023 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.5717 loss: 2.5717 2022/07/31 22:59:26 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/07/31 22:59:26 - mmengine - INFO - Epoch(train) [1][940/940] lr: 1.0000e-02 eta: 20:57:14 time: 0.7070 data_time: 0.0283 memory: 13616 grad_norm: 3.2248 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.5337 loss: 2.5337 2022/07/31 23:00:49 - mmengine - INFO - Epoch(val) [1][20/78] eta: 0:04:00 time: 4.1424 data_time: 4.0494 memory: 2186 2022/07/31 23:01:01 - mmengine - INFO - Epoch(val) [1][40/78] eta: 0:00:22 time: 0.5958 data_time: 0.5057 memory: 2186 2022/07/31 23:01:17 - mmengine - INFO - Epoch(val) [1][60/78] eta: 0:00:14 time: 0.8109 data_time: 0.7204 memory: 2186 2022/07/31 23:01:30 - mmengine - INFO - Epoch(val) [1][78/78] acc/top1: 0.4769 acc/top5: 0.7456 acc/mean1: 0.4766 2022/07/31 23:01:31 - mmengine - INFO - The best checkpoint with 0.4769 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/07/31 23:01:52 - mmengine - INFO - Epoch(train) [2][20/940] lr: 1.0000e-02 eta: 21:04:57 time: 1.0578 data_time: 0.4967 memory: 13619 grad_norm: 3.0676 top1_acc: 0.4062 top5_acc: 0.5312 loss_cls: 2.4871 loss: 2.4871 2022/07/31 23:02:07 - mmengine - INFO - Epoch(train) [2][40/940] lr: 1.0000e-02 eta: 21:02:34 time: 0.7489 data_time: 0.0372 memory: 13619 grad_norm: 3.0760 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.6015 loss: 2.6015 2022/07/31 23:02:29 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/07/31 23:02:29 - mmengine - INFO - Epoch(train) [2][60/940] lr: 1.0000e-02 eta: 21:11:00 time: 1.0954 data_time: 0.0398 memory: 13619 grad_norm: 3.1228 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4499 loss: 2.4499 2022/07/31 23:02:42 - mmengine - INFO - Epoch(train) [2][80/940] lr: 1.0000e-02 eta: 21:05:46 time: 0.6568 data_time: 0.0313 memory: 13619 grad_norm: 3.1013 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3833 loss: 2.3833 2022/07/31 23:03:00 - mmengine - INFO - Epoch(train) [2][100/940] lr: 1.0000e-02 eta: 21:08:20 time: 0.9121 data_time: 0.0388 memory: 13619 grad_norm: 3.1589 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.6377 loss: 2.6377 2022/07/31 23:03:15 - mmengine - INFO - Epoch(train) [2][120/940] lr: 1.0000e-02 eta: 21:04:52 time: 0.7094 data_time: 0.0285 memory: 13619 grad_norm: 3.1358 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.5934 loss: 2.5934 2022/07/31 23:03:32 - mmengine - INFO - Epoch(train) [2][140/940] lr: 1.0000e-02 eta: 21:06:19 time: 0.8766 data_time: 0.0363 memory: 13619 grad_norm: 3.1540 top1_acc: 0.2500 top5_acc: 0.5938 loss_cls: 2.4304 loss: 2.4304 2022/07/31 23:03:47 - mmengine - INFO - Epoch(train) [2][160/940] lr: 1.0000e-02 eta: 21:04:01 time: 0.7456 data_time: 0.0349 memory: 13619 grad_norm: 3.1485 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.6131 loss: 2.6131 2022/07/31 23:04:03 - mmengine - INFO - Epoch(train) [2][180/940] lr: 1.0000e-02 eta: 21:02:53 time: 0.7850 data_time: 0.0316 memory: 13619 grad_norm: 3.1441 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.5975 loss: 2.5975 2022/07/31 23:04:20 - mmengine - INFO - Epoch(train) [2][200/940] lr: 1.0000e-02 eta: 21:04:24 time: 0.8819 data_time: 0.0455 memory: 13619 grad_norm: 3.1297 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.3905 loss: 2.3905 2022/07/31 23:04:34 - mmengine - INFO - Epoch(train) [2][220/940] lr: 1.0000e-02 eta: 21:00:08 time: 0.6671 data_time: 0.0355 memory: 13619 grad_norm: 3.1517 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5556 loss: 2.5556 2022/07/31 23:04:51 - mmengine - INFO - Epoch(train) [2][240/940] lr: 1.0000e-02 eta: 21:00:55 time: 0.8544 data_time: 0.0551 memory: 13619 grad_norm: 3.1130 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.5152 loss: 2.5152 2022/07/31 23:05:03 - mmengine - INFO - Epoch(train) [2][260/940] lr: 1.0000e-02 eta: 20:55:10 time: 0.6029 data_time: 0.0391 memory: 13619 grad_norm: 3.1173 top1_acc: 0.3438 top5_acc: 0.7500 loss_cls: 2.4394 loss: 2.4394 2022/07/31 23:05:20 - mmengine - INFO - Epoch(train) [2][280/940] lr: 1.0000e-02 eta: 20:56:02 time: 0.8566 data_time: 0.0446 memory: 13619 grad_norm: 3.1468 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.4161 loss: 2.4161 2022/07/31 23:05:34 - mmengine - INFO - Epoch(train) [2][300/940] lr: 1.0000e-02 eta: 20:52:24 time: 0.6770 data_time: 0.0366 memory: 13619 grad_norm: 3.1424 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2831 loss: 2.2831 2022/07/31 23:05:49 - mmengine - INFO - Epoch(train) [2][320/940] lr: 1.0000e-02 eta: 20:51:39 time: 0.7905 data_time: 0.0373 memory: 13619 grad_norm: 3.1874 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.5365 loss: 2.5365 2022/07/31 23:06:04 - mmengine - INFO - Epoch(train) [2][340/940] lr: 1.0000e-02 eta: 20:49:09 time: 0.7174 data_time: 0.0374 memory: 13619 grad_norm: 3.1799 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.4889 loss: 2.4889 2022/07/31 23:06:21 - mmengine - INFO - Epoch(train) [2][360/940] lr: 1.0000e-02 eta: 20:50:01 time: 0.8567 data_time: 0.0383 memory: 13619 grad_norm: 3.1537 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.3821 loss: 2.3821 2022/07/31 23:06:41 - mmengine - INFO - Epoch(train) [2][380/940] lr: 1.0000e-02 eta: 20:54:06 time: 0.9947 data_time: 0.0313 memory: 13619 grad_norm: 3.1780 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3663 loss: 2.3663 2022/07/31 23:06:56 - mmengine - INFO - Epoch(train) [2][400/940] lr: 1.0000e-02 eta: 20:52:45 time: 0.7654 data_time: 0.0313 memory: 13619 grad_norm: 3.1663 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3552 loss: 2.3552 2022/07/31 23:07:13 - mmengine - INFO - Epoch(train) [2][420/940] lr: 1.0000e-02 eta: 20:52:56 time: 0.8305 data_time: 0.0315 memory: 13619 grad_norm: 3.2227 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.3210 loss: 2.3210 2022/07/31 23:07:27 - mmengine - INFO - Epoch(train) [2][440/940] lr: 1.0000e-02 eta: 20:50:43 time: 0.7251 data_time: 0.0362 memory: 13619 grad_norm: 3.2028 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.3665 loss: 2.3665 2022/07/31 23:07:44 - mmengine - INFO - Epoch(train) [2][460/940] lr: 1.0000e-02 eta: 20:50:38 time: 0.8186 data_time: 0.0354 memory: 13619 grad_norm: 3.1843 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.3019 loss: 2.3019 2022/07/31 23:08:00 - mmengine - INFO - Epoch(train) [2][480/940] lr: 1.0000e-02 eta: 20:50:08 time: 0.7998 data_time: 0.0402 memory: 13619 grad_norm: 3.1611 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.2821 loss: 2.2821 2022/07/31 23:08:14 - mmengine - INFO - Epoch(train) [2][500/940] lr: 1.0000e-02 eta: 20:48:31 time: 0.7471 data_time: 0.0411 memory: 13619 grad_norm: 3.2255 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.3241 loss: 2.3241 2022/07/31 23:08:32 - mmengine - INFO - Epoch(train) [2][520/940] lr: 1.0000e-02 eta: 20:49:20 time: 0.8607 data_time: 0.0331 memory: 13619 grad_norm: 3.2537 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.3651 loss: 2.3651 2022/07/31 23:08:48 - mmengine - INFO - Epoch(train) [2][540/940] lr: 1.0000e-02 eta: 20:49:28 time: 0.8294 data_time: 0.0354 memory: 13619 grad_norm: 3.2234 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2927 loss: 2.2927 2022/07/31 23:09:06 - mmengine - INFO - Epoch(train) [2][560/940] lr: 1.0000e-02 eta: 20:50:31 time: 0.8751 data_time: 0.0362 memory: 13619 grad_norm: 3.2173 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3732 loss: 2.3732 2022/07/31 23:09:23 - mmengine - INFO - Epoch(train) [2][580/940] lr: 1.0000e-02 eta: 20:51:07 time: 0.8539 data_time: 0.2695 memory: 13619 grad_norm: 3.2194 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.4808 loss: 2.4808 2022/07/31 23:09:39 - mmengine - INFO - Epoch(train) [2][600/940] lr: 1.0000e-02 eta: 20:51:01 time: 0.8197 data_time: 0.0326 memory: 13619 grad_norm: 3.2448 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3705 loss: 2.3705 2022/07/31 23:09:55 - mmengine - INFO - Epoch(train) [2][620/940] lr: 1.0000e-02 eta: 20:50:20 time: 0.7912 data_time: 0.1753 memory: 13619 grad_norm: 3.2390 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.3350 loss: 2.3350 2022/07/31 23:10:13 - mmengine - INFO - Epoch(train) [2][640/940] lr: 1.0000e-02 eta: 20:52:06 time: 0.9162 data_time: 0.0787 memory: 13619 grad_norm: 3.2401 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.4579 loss: 2.4579 2022/07/31 23:10:26 - mmengine - INFO - Epoch(train) [2][660/940] lr: 1.0000e-02 eta: 20:48:23 time: 0.6336 data_time: 0.0317 memory: 13619 grad_norm: 3.2022 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.3227 loss: 2.3227 2022/07/31 23:10:46 - mmengine - INFO - Epoch(train) [2][680/940] lr: 1.0000e-02 eta: 20:51:41 time: 0.9988 data_time: 0.0330 memory: 13619 grad_norm: 3.2473 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.3352 loss: 2.3352 2022/07/31 23:10:59 - mmengine - INFO - Epoch(train) [2][700/940] lr: 1.0000e-02 eta: 20:48:41 time: 0.6678 data_time: 0.0367 memory: 13619 grad_norm: 3.1985 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.2578 loss: 2.2578 2022/07/31 23:11:18 - mmengine - INFO - Epoch(train) [2][720/940] lr: 1.0000e-02 eta: 20:50:28 time: 0.9220 data_time: 0.1063 memory: 13619 grad_norm: 3.1973 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1974 loss: 2.1974 2022/07/31 23:11:32 - mmengine - INFO - Epoch(train) [2][740/940] lr: 1.0000e-02 eta: 20:48:17 time: 0.7078 data_time: 0.1514 memory: 13619 grad_norm: 3.2760 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 2.4424 loss: 2.4424 2022/07/31 23:11:49 - mmengine - INFO - Epoch(train) [2][760/940] lr: 1.0000e-02 eta: 20:49:00 time: 0.8657 data_time: 0.1910 memory: 13619 grad_norm: 3.2580 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.3249 loss: 2.3249 2022/07/31 23:12:04 - mmengine - INFO - Epoch(train) [2][780/940] lr: 1.0000e-02 eta: 20:47:27 time: 0.7407 data_time: 0.0298 memory: 13619 grad_norm: 3.2600 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3147 loss: 2.3147 2022/07/31 23:12:21 - mmengine - INFO - Epoch(train) [2][800/940] lr: 1.0000e-02 eta: 20:47:58 time: 0.8551 data_time: 0.0357 memory: 13619 grad_norm: 3.2716 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.3699 loss: 2.3699 2022/07/31 23:12:38 - mmengine - INFO - Epoch(train) [2][820/940] lr: 1.0000e-02 eta: 20:47:56 time: 0.8261 data_time: 0.0326 memory: 13619 grad_norm: 3.2402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2802 loss: 2.2802 2022/07/31 23:12:56 - mmengine - INFO - Epoch(train) [2][840/940] lr: 1.0000e-02 eta: 20:49:28 time: 0.9162 data_time: 0.0381 memory: 13619 grad_norm: 3.3162 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 2.3965 loss: 2.3965 2022/07/31 23:13:17 - mmengine - INFO - Epoch(train) [2][860/940] lr: 1.0000e-02 eta: 20:53:36 time: 1.0705 data_time: 0.0288 memory: 13619 grad_norm: 3.2623 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2619 loss: 2.2619 2022/07/31 23:13:38 - mmengine - INFO - Epoch(train) [2][880/940] lr: 1.0000e-02 eta: 20:56:53 time: 1.0263 data_time: 0.0302 memory: 13619 grad_norm: 3.2351 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.3738 loss: 2.3738 2022/07/31 23:13:52 - mmengine - INFO - Epoch(train) [2][900/940] lr: 1.0000e-02 eta: 20:54:20 time: 0.6820 data_time: 0.0414 memory: 13619 grad_norm: 3.2648 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.3285 loss: 2.3285 2022/07/31 23:14:10 - mmengine - INFO - Epoch(train) [2][920/940] lr: 1.0000e-02 eta: 20:55:57 time: 0.9308 data_time: 0.0374 memory: 13619 grad_norm: 3.2770 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4071 loss: 2.4071 2022/07/31 23:14:25 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/07/31 23:14:25 - mmengine - INFO - Epoch(train) [2][940/940] lr: 1.0000e-02 eta: 20:54:16 time: 0.7315 data_time: 0.0243 memory: 13619 grad_norm: 3.4123 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.3845 loss: 2.3845 2022/07/31 23:14:50 - mmengine - INFO - Epoch(val) [2][20/78] eta: 0:01:13 time: 1.2676 data_time: 1.1684 memory: 2186 2022/07/31 23:15:07 - mmengine - INFO - Epoch(val) [2][40/78] eta: 0:00:32 time: 0.8575 data_time: 0.7749 memory: 2186 2022/07/31 23:15:25 - mmengine - INFO - Epoch(val) [2][60/78] eta: 0:00:16 time: 0.8991 data_time: 0.8153 memory: 2186 2022/07/31 23:15:51 - mmengine - INFO - Epoch(val) [2][78/78] acc/top1: 0.5375 acc/top5: 0.7953 acc/mean1: 0.5374 2022/07/31 23:15:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/07/31 23:15:52 - mmengine - INFO - The best checkpoint with 0.5375 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/07/31 23:16:14 - mmengine - INFO - Epoch(train) [3][20/940] lr: 1.0000e-02 eta: 20:58:31 time: 1.0967 data_time: 0.5480 memory: 13619 grad_norm: 3.2264 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.2860 loss: 2.2860 2022/07/31 23:16:32 - mmengine - INFO - Epoch(train) [3][40/940] lr: 1.0000e-02 eta: 20:59:40 time: 0.9091 data_time: 0.0317 memory: 13619 grad_norm: 3.3040 top1_acc: 0.4375 top5_acc: 0.5312 loss_cls: 2.2368 loss: 2.2368 2022/07/31 23:16:49 - mmengine - INFO - Epoch(train) [3][60/940] lr: 1.0000e-02 eta: 20:59:53 time: 0.8521 data_time: 0.0506 memory: 13619 grad_norm: 3.2187 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1692 loss: 2.1692 2022/07/31 23:17:05 - mmengine - INFO - Epoch(train) [3][80/940] lr: 1.0000e-02 eta: 20:58:52 time: 0.7727 data_time: 0.0262 memory: 13619 grad_norm: 3.2999 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2437 loss: 2.2437 2022/07/31 23:17:22 - mmengine - INFO - Epoch(train) [3][100/940] lr: 1.0000e-02 eta: 20:59:25 time: 0.8747 data_time: 0.0384 memory: 13619 grad_norm: 3.3086 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.0733 loss: 2.0733 2022/07/31 23:17:36 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/07/31 23:17:36 - mmengine - INFO - Epoch(train) [3][120/940] lr: 1.0000e-02 eta: 20:57:05 time: 0.6863 data_time: 0.0303 memory: 13619 grad_norm: 3.3036 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3477 loss: 2.3477 2022/07/31 23:17:51 - mmengine - INFO - Epoch(train) [3][140/940] lr: 1.0000e-02 eta: 20:56:10 time: 0.7776 data_time: 0.0366 memory: 13619 grad_norm: 3.2497 top1_acc: 0.2812 top5_acc: 0.6562 loss_cls: 2.3927 loss: 2.3927 2022/07/31 23:18:07 - mmengine - INFO - Epoch(train) [3][160/940] lr: 1.0000e-02 eta: 20:55:14 time: 0.7755 data_time: 0.0389 memory: 13619 grad_norm: 3.2414 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2835 loss: 2.2835 2022/07/31 23:18:21 - mmengine - INFO - Epoch(train) [3][180/940] lr: 1.0000e-02 eta: 20:53:42 time: 0.7338 data_time: 0.1044 memory: 13619 grad_norm: 3.2674 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1283 loss: 2.1283 2022/07/31 23:18:40 - mmengine - INFO - Epoch(train) [3][200/940] lr: 1.0000e-02 eta: 20:54:50 time: 0.9137 data_time: 0.6096 memory: 13619 grad_norm: 3.2703 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2405 loss: 2.2405 2022/07/31 23:18:58 - mmengine - INFO - Epoch(train) [3][220/940] lr: 1.0000e-02 eta: 20:55:53 time: 0.9099 data_time: 0.2962 memory: 13619 grad_norm: 3.2709 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1731 loss: 2.1731 2022/07/31 23:19:17 - mmengine - INFO - Epoch(train) [3][240/940] lr: 1.0000e-02 eta: 20:57:15 time: 0.9335 data_time: 0.0304 memory: 13619 grad_norm: 3.2731 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.2126 loss: 2.2126 2022/07/31 23:19:44 - mmengine - INFO - Epoch(train) [3][260/940] lr: 1.0000e-02 eta: 21:04:48 time: 1.3682 data_time: 0.0245 memory: 13619 grad_norm: 3.2780 top1_acc: 0.4062 top5_acc: 0.6250 loss_cls: 2.1369 loss: 2.1369 2022/07/31 23:19:57 - mmengine - INFO - Epoch(train) [3][280/940] lr: 1.0000e-02 eta: 21:01:41 time: 0.6259 data_time: 0.0362 memory: 13619 grad_norm: 3.3006 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.2382 loss: 2.2382 2022/07/31 23:20:16 - mmengine - INFO - Epoch(train) [3][300/940] lr: 1.0000e-02 eta: 21:03:52 time: 0.9986 data_time: 0.0777 memory: 13619 grad_norm: 3.3168 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 2.2251 loss: 2.2251 2022/07/31 23:20:34 - mmengine - INFO - Epoch(train) [3][320/940] lr: 1.0000e-02 eta: 21:04:12 time: 0.8702 data_time: 0.0414 memory: 13619 grad_norm: 3.3091 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.1997 loss: 2.1997 2022/07/31 23:20:53 - mmengine - INFO - Epoch(train) [3][340/940] lr: 1.0000e-02 eta: 21:05:57 time: 0.9726 data_time: 0.0263 memory: 13619 grad_norm: 3.3351 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.2177 loss: 2.2177 2022/07/31 23:21:11 - mmengine - INFO - Epoch(train) [3][360/940] lr: 1.0000e-02 eta: 21:06:20 time: 0.8766 data_time: 0.0381 memory: 13619 grad_norm: 3.2397 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1650 loss: 2.1650 2022/07/31 23:21:30 - mmengine - INFO - Epoch(train) [3][380/940] lr: 1.0000e-02 eta: 21:07:28 time: 0.9323 data_time: 0.0263 memory: 13619 grad_norm: 3.3374 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.2071 loss: 2.2071 2022/07/31 23:21:46 - mmengine - INFO - Epoch(train) [3][400/940] lr: 1.0000e-02 eta: 21:06:50 time: 0.8024 data_time: 0.0336 memory: 13619 grad_norm: 3.3078 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.1996 loss: 2.1996 2022/07/31 23:21:59 - mmengine - INFO - Epoch(train) [3][420/940] lr: 1.0000e-02 eta: 21:04:45 time: 0.6919 data_time: 0.0470 memory: 13619 grad_norm: 3.2535 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.9855 loss: 1.9855 2022/07/31 23:22:23 - mmengine - INFO - Epoch(train) [3][440/940] lr: 1.0000e-02 eta: 21:08:56 time: 1.1667 data_time: 0.0328 memory: 13619 grad_norm: 3.3258 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 2.1019 loss: 2.1019 2022/07/31 23:22:43 - mmengine - INFO - Epoch(train) [3][460/940] lr: 1.0000e-02 eta: 21:10:58 time: 1.0073 data_time: 0.0361 memory: 13619 grad_norm: 3.3159 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1044 loss: 2.1044 2022/07/31 23:22:58 - mmengine - INFO - Epoch(train) [3][480/940] lr: 1.0000e-02 eta: 21:09:56 time: 0.7736 data_time: 0.0329 memory: 13619 grad_norm: 3.2923 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.0697 loss: 2.0697 2022/07/31 23:23:17 - mmengine - INFO - Epoch(train) [3][500/940] lr: 1.0000e-02 eta: 21:10:52 time: 0.9254 data_time: 0.0324 memory: 13619 grad_norm: 3.3588 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/07/31 23:23:34 - mmengine - INFO - Epoch(train) [3][520/940] lr: 1.0000e-02 eta: 21:10:51 time: 0.8533 data_time: 0.0377 memory: 13619 grad_norm: 3.3379 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.0832 loss: 2.0832 2022/07/31 23:23:51 - mmengine - INFO - Epoch(train) [3][540/940] lr: 1.0000e-02 eta: 21:11:06 time: 0.8734 data_time: 0.0312 memory: 13619 grad_norm: 3.3610 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1981 loss: 2.1981 2022/07/31 23:24:11 - mmengine - INFO - Epoch(train) [3][560/940] lr: 1.0000e-02 eta: 21:12:48 time: 0.9919 data_time: 0.0316 memory: 13619 grad_norm: 3.2798 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0661 loss: 2.0661 2022/07/31 23:24:25 - mmengine - INFO - Epoch(train) [3][580/940] lr: 1.0000e-02 eta: 21:10:43 time: 0.6875 data_time: 0.0385 memory: 13619 grad_norm: 3.3243 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.1332 loss: 2.1332 2022/07/31 23:24:41 - mmengine - INFO - Epoch(train) [3][600/940] lr: 1.0000e-02 eta: 21:09:53 time: 0.7880 data_time: 0.0447 memory: 13619 grad_norm: 3.3157 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3553 loss: 2.3553 2022/07/31 23:25:01 - mmengine - INFO - Epoch(train) [3][620/940] lr: 1.0000e-02 eta: 21:11:25 time: 0.9819 data_time: 0.0294 memory: 13619 grad_norm: 3.3301 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2793 loss: 2.2793 2022/07/31 23:25:15 - mmengine - INFO - Epoch(train) [3][640/940] lr: 1.0000e-02 eta: 21:09:51 time: 0.7272 data_time: 0.0439 memory: 13619 grad_norm: 3.3306 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 2.1764 loss: 2.1764 2022/07/31 23:25:33 - mmengine - INFO - Epoch(train) [3][660/940] lr: 1.0000e-02 eta: 21:10:20 time: 0.8960 data_time: 0.0321 memory: 13619 grad_norm: 3.3409 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1820 loss: 2.1820 2022/07/31 23:25:47 - mmengine - INFO - Epoch(train) [3][680/940] lr: 1.0000e-02 eta: 21:08:35 time: 0.7089 data_time: 0.0393 memory: 13619 grad_norm: 3.3007 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0038 loss: 2.0038 2022/07/31 23:26:04 - mmengine - INFO - Epoch(train) [3][700/940] lr: 1.0000e-02 eta: 21:08:45 time: 0.8710 data_time: 0.0396 memory: 13619 grad_norm: 3.3883 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.1503 loss: 2.1503 2022/07/31 23:26:24 - mmengine - INFO - Epoch(train) [3][720/940] lr: 1.0000e-02 eta: 21:10:05 time: 0.9691 data_time: 0.0317 memory: 13619 grad_norm: 3.3182 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 2.1044 loss: 2.1044 2022/07/31 23:26:43 - mmengine - INFO - Epoch(train) [3][740/940] lr: 1.0000e-02 eta: 21:11:12 time: 0.9550 data_time: 0.0325 memory: 13619 grad_norm: 3.3730 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1393 loss: 2.1393 2022/07/31 23:26:55 - mmengine - INFO - Epoch(train) [3][760/940] lr: 1.0000e-02 eta: 21:08:10 time: 0.5949 data_time: 0.0321 memory: 13619 grad_norm: 3.3299 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2354 loss: 2.2354 2022/07/31 23:27:13 - mmengine - INFO - Epoch(train) [3][780/940] lr: 1.0000e-02 eta: 21:08:47 time: 0.9112 data_time: 0.0327 memory: 13619 grad_norm: 3.3431 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0975 loss: 2.0975 2022/07/31 23:27:29 - mmengine - INFO - Epoch(train) [3][800/940] lr: 1.0000e-02 eta: 21:07:50 time: 0.7746 data_time: 0.0326 memory: 13619 grad_norm: 3.3377 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1508 loss: 2.1508 2022/07/31 23:27:48 - mmengine - INFO - Epoch(train) [3][820/940] lr: 1.0000e-02 eta: 21:08:55 time: 0.9538 data_time: 0.0324 memory: 13619 grad_norm: 3.3663 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0461 loss: 2.0461 2022/07/31 23:28:02 - mmengine - INFO - Epoch(train) [3][840/940] lr: 1.0000e-02 eta: 21:07:04 time: 0.6937 data_time: 0.0422 memory: 13619 grad_norm: 3.3324 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.0722 loss: 2.0722 2022/07/31 23:28:23 - mmengine - INFO - Epoch(train) [3][860/940] lr: 1.0000e-02 eta: 21:09:17 time: 1.0571 data_time: 0.0352 memory: 13619 grad_norm: 3.3936 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0722 loss: 2.0722 2022/07/31 23:28:36 - mmengine - INFO - Epoch(train) [3][880/940] lr: 1.0000e-02 eta: 21:07:14 time: 0.6733 data_time: 0.0362 memory: 13619 grad_norm: 3.3054 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.8924 loss: 1.8924 2022/07/31 23:28:54 - mmengine - INFO - Epoch(train) [3][900/940] lr: 1.0000e-02 eta: 21:07:23 time: 0.8720 data_time: 0.0295 memory: 13619 grad_norm: 3.4094 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0364 loss: 2.0364 2022/07/31 23:29:12 - mmengine - INFO - Epoch(train) [3][920/940] lr: 1.0000e-02 eta: 21:08:08 time: 0.9296 data_time: 0.4958 memory: 13619 grad_norm: 3.3928 top1_acc: 0.3438 top5_acc: 0.7188 loss_cls: 2.1506 loss: 2.1506 2022/07/31 23:29:24 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/07/31 23:29:24 - mmengine - INFO - Epoch(train) [3][940/940] lr: 1.0000e-02 eta: 21:05:21 time: 0.6014 data_time: 0.2921 memory: 13619 grad_norm: 3.4805 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 2.1718 loss: 2.1718 2022/07/31 23:29:24 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/07/31 23:29:44 - mmengine - INFO - Epoch(val) [3][20/78] eta: 0:00:50 time: 0.8759 data_time: 0.7855 memory: 2186 2022/07/31 23:29:56 - mmengine - INFO - Epoch(val) [3][40/78] eta: 0:00:23 time: 0.6160 data_time: 0.5235 memory: 2186 2022/07/31 23:30:12 - mmengine - INFO - Epoch(val) [3][60/78] eta: 0:00:14 time: 0.8087 data_time: 0.7067 memory: 2186 2022/07/31 23:30:25 - mmengine - INFO - Epoch(val) [3][78/78] acc/top1: 0.5737 acc/top5: 0.8156 acc/mean1: 0.5735 2022/07/31 23:30:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/07/31 23:30:26 - mmengine - INFO - The best checkpoint with 0.5737 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/07/31 23:30:47 - mmengine - INFO - Epoch(train) [4][20/940] lr: 1.0000e-02 eta: 21:07:03 time: 1.0170 data_time: 0.7199 memory: 13619 grad_norm: 3.2730 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0078 loss: 2.0078 2022/07/31 23:30:58 - mmengine - INFO - Epoch(train) [4][40/940] lr: 1.0000e-02 eta: 21:04:11 time: 0.5908 data_time: 0.2998 memory: 13619 grad_norm: 3.3751 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.1648 loss: 2.1648 2022/07/31 23:31:16 - mmengine - INFO - Epoch(train) [4][60/940] lr: 1.0000e-02 eta: 21:04:28 time: 0.8853 data_time: 0.5829 memory: 13619 grad_norm: 3.3774 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.9943 loss: 1.9943 2022/07/31 23:31:29 - mmengine - INFO - Epoch(train) [4][80/940] lr: 1.0000e-02 eta: 21:02:26 time: 0.6647 data_time: 0.3448 memory: 13619 grad_norm: 3.4095 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 1.9020 loss: 1.9020 2022/07/31 23:31:46 - mmengine - INFO - Epoch(train) [4][100/940] lr: 1.0000e-02 eta: 21:02:17 time: 0.8432 data_time: 0.5309 memory: 13619 grad_norm: 3.3664 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 2.1711 loss: 2.1711 2022/07/31 23:31:59 - mmengine - INFO - Epoch(train) [4][120/940] lr: 1.0000e-02 eta: 21:00:06 time: 0.6479 data_time: 0.2811 memory: 13619 grad_norm: 3.4079 top1_acc: 0.3125 top5_acc: 0.7812 loss_cls: 1.9986 loss: 1.9986 2022/07/31 23:32:17 - mmengine - INFO - Epoch(train) [4][140/940] lr: 1.0000e-02 eta: 21:00:16 time: 0.8723 data_time: 0.4766 memory: 13619 grad_norm: 3.3658 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0488 loss: 2.0488 2022/07/31 23:32:31 - mmengine - INFO - Epoch(train) [4][160/940] lr: 1.0000e-02 eta: 20:58:48 time: 0.7151 data_time: 0.4101 memory: 13619 grad_norm: 3.3539 top1_acc: 0.3438 top5_acc: 0.6250 loss_cls: 2.1175 loss: 2.1175 2022/07/31 23:32:48 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/07/31 23:32:48 - mmengine - INFO - Epoch(train) [4][180/940] lr: 1.0000e-02 eta: 20:58:33 time: 0.8315 data_time: 0.5016 memory: 13619 grad_norm: 3.3575 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0523 loss: 2.0523 2022/07/31 23:33:01 - mmengine - INFO - Epoch(train) [4][200/940] lr: 1.0000e-02 eta: 20:56:53 time: 0.6914 data_time: 0.3552 memory: 13619 grad_norm: 3.3822 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.1548 loss: 2.1548 2022/07/31 23:33:19 - mmengine - INFO - Epoch(train) [4][220/940] lr: 1.0000e-02 eta: 20:56:52 time: 0.8555 data_time: 0.4270 memory: 13619 grad_norm: 3.3702 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1306 loss: 2.1306 2022/07/31 23:33:33 - mmengine - INFO - Epoch(train) [4][240/940] lr: 1.0000e-02 eta: 20:55:44 time: 0.7420 data_time: 0.3738 memory: 13619 grad_norm: 3.3730 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 2.1093 loss: 2.1093 2022/07/31 23:33:51 - mmengine - INFO - Epoch(train) [4][260/940] lr: 1.0000e-02 eta: 20:55:58 time: 0.8814 data_time: 0.5235 memory: 13619 grad_norm: 3.3830 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1105 loss: 2.1105 2022/07/31 23:34:11 - mmengine - INFO - Epoch(train) [4][280/940] lr: 1.0000e-02 eta: 20:57:23 time: 1.0016 data_time: 0.4335 memory: 13619 grad_norm: 3.4037 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 2.1182 loss: 2.1182 2022/07/31 23:34:25 - mmengine - INFO - Epoch(train) [4][300/940] lr: 1.0000e-02 eta: 20:55:49 time: 0.6975 data_time: 0.0313 memory: 13619 grad_norm: 3.4354 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.1066 loss: 2.1066 2022/07/31 23:34:41 - mmengine - INFO - Epoch(train) [4][320/940] lr: 1.0000e-02 eta: 20:55:24 time: 0.8143 data_time: 0.0339 memory: 13619 grad_norm: 3.3320 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.9536 loss: 1.9536 2022/07/31 23:34:55 - mmengine - INFO - Epoch(train) [4][340/940] lr: 1.0000e-02 eta: 20:53:36 time: 0.6705 data_time: 0.0474 memory: 13619 grad_norm: 3.3464 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.1265 loss: 2.1265 2022/07/31 23:35:11 - mmengine - INFO - Epoch(train) [4][360/940] lr: 1.0000e-02 eta: 20:53:27 time: 0.8410 data_time: 0.0438 memory: 13619 grad_norm: 3.4315 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0868 loss: 2.0868 2022/07/31 23:35:26 - mmengine - INFO - Epoch(train) [4][380/940] lr: 1.0000e-02 eta: 20:52:15 time: 0.7298 data_time: 0.0419 memory: 13619 grad_norm: 3.3743 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0537 loss: 2.0537 2022/07/31 23:35:41 - mmengine - INFO - Epoch(train) [4][400/940] lr: 1.0000e-02 eta: 20:51:16 time: 0.7520 data_time: 0.0382 memory: 13619 grad_norm: 3.4224 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.9495 loss: 1.9495 2022/07/31 23:35:55 - mmengine - INFO - Epoch(train) [4][420/940] lr: 1.0000e-02 eta: 20:49:58 time: 0.7178 data_time: 0.0430 memory: 13619 grad_norm: 3.4130 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1836 loss: 2.1836 2022/07/31 23:36:12 - mmengine - INFO - Epoch(train) [4][440/940] lr: 1.0000e-02 eta: 20:49:30 time: 0.8052 data_time: 0.0484 memory: 13619 grad_norm: 3.3703 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.1573 loss: 2.1573 2022/07/31 23:36:26 - mmengine - INFO - Epoch(train) [4][460/940] lr: 1.0000e-02 eta: 20:48:25 time: 0.7384 data_time: 0.0463 memory: 13619 grad_norm: 3.3308 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0050 loss: 2.0050 2022/07/31 23:36:44 - mmengine - INFO - Epoch(train) [4][480/940] lr: 1.0000e-02 eta: 20:48:34 time: 0.8732 data_time: 0.0353 memory: 13619 grad_norm: 3.3832 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9587 loss: 1.9587 2022/07/31 23:36:57 - mmengine - INFO - Epoch(train) [4][500/940] lr: 1.0000e-02 eta: 20:46:41 time: 0.6489 data_time: 0.0402 memory: 13619 grad_norm: 3.3808 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0449 loss: 2.0449 2022/07/31 23:37:14 - mmengine - INFO - Epoch(train) [4][520/940] lr: 1.0000e-02 eta: 20:46:30 time: 0.8350 data_time: 0.0363 memory: 13619 grad_norm: 3.4119 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1549 loss: 2.1549 2022/07/31 23:37:28 - mmengine - INFO - Epoch(train) [4][540/940] lr: 1.0000e-02 eta: 20:45:27 time: 0.7383 data_time: 0.0369 memory: 13619 grad_norm: 3.4127 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1141 loss: 2.1141 2022/07/31 23:37:45 - mmengine - INFO - Epoch(train) [4][560/940] lr: 1.0000e-02 eta: 20:45:24 time: 0.8507 data_time: 0.0385 memory: 13619 grad_norm: 3.3647 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.8594 loss: 1.8594 2022/07/31 23:37:58 - mmengine - INFO - Epoch(train) [4][580/940] lr: 1.0000e-02 eta: 20:43:37 time: 0.6543 data_time: 0.0398 memory: 13619 grad_norm: 3.3996 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9746 loss: 1.9746 2022/07/31 23:38:15 - mmengine - INFO - Epoch(train) [4][600/940] lr: 1.0000e-02 eta: 20:43:34 time: 0.8478 data_time: 0.0363 memory: 13619 grad_norm: 3.3905 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0851 loss: 2.0851 2022/07/31 23:38:29 - mmengine - INFO - Epoch(train) [4][620/940] lr: 1.0000e-02 eta: 20:42:10 time: 0.6968 data_time: 0.0425 memory: 13619 grad_norm: 3.4221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0525 loss: 2.0525 2022/07/31 23:38:47 - mmengine - INFO - Epoch(train) [4][640/940] lr: 1.0000e-02 eta: 20:42:16 time: 0.8647 data_time: 0.0359 memory: 13619 grad_norm: 3.4026 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0256 loss: 2.0256 2022/07/31 23:39:00 - mmengine - INFO - Epoch(train) [4][660/940] lr: 1.0000e-02 eta: 20:40:29 time: 0.6498 data_time: 0.0407 memory: 13619 grad_norm: 3.4691 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.9808 loss: 1.9808 2022/07/31 23:39:16 - mmengine - INFO - Epoch(train) [4][680/940] lr: 1.0000e-02 eta: 20:40:14 time: 0.8256 data_time: 0.0369 memory: 13619 grad_norm: 3.4475 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0639 loss: 2.0639 2022/07/31 23:39:30 - mmengine - INFO - Epoch(train) [4][700/940] lr: 1.0000e-02 eta: 20:38:48 time: 0.6866 data_time: 0.0495 memory: 13619 grad_norm: 3.4635 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0181 loss: 2.0181 2022/07/31 23:39:47 - mmengine - INFO - Epoch(train) [4][720/940] lr: 1.0000e-02 eta: 20:38:35 time: 0.8285 data_time: 0.0350 memory: 13619 grad_norm: 3.4701 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9867 loss: 1.9867 2022/07/31 23:40:00 - mmengine - INFO - Epoch(train) [4][740/940] lr: 1.0000e-02 eta: 20:37:10 time: 0.6857 data_time: 0.0445 memory: 13619 grad_norm: 3.4629 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9185 loss: 1.9185 2022/07/31 23:40:16 - mmengine - INFO - Epoch(train) [4][760/940] lr: 1.0000e-02 eta: 20:36:40 time: 0.7948 data_time: 0.0396 memory: 13619 grad_norm: 3.4741 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0449 loss: 2.0449 2022/07/31 23:40:31 - mmengine - INFO - Epoch(train) [4][780/940] lr: 1.0000e-02 eta: 20:35:47 time: 0.7469 data_time: 0.0432 memory: 13619 grad_norm: 3.4300 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9796 loss: 1.9796 2022/07/31 23:40:46 - mmengine - INFO - Epoch(train) [4][800/940] lr: 1.0000e-02 eta: 20:35:00 time: 0.7584 data_time: 0.0771 memory: 13619 grad_norm: 3.4477 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8671 loss: 1.8671 2022/07/31 23:41:02 - mmengine - INFO - Epoch(train) [4][820/940] lr: 1.0000e-02 eta: 20:34:36 time: 0.8062 data_time: 0.0761 memory: 13619 grad_norm: 3.4321 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0606 loss: 2.0606 2022/07/31 23:41:17 - mmengine - INFO - Epoch(train) [4][840/940] lr: 1.0000e-02 eta: 20:33:38 time: 0.7348 data_time: 0.0415 memory: 13619 grad_norm: 3.4412 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0053 loss: 2.0053 2022/07/31 23:41:33 - mmengine - INFO - Epoch(train) [4][860/940] lr: 1.0000e-02 eta: 20:33:15 time: 0.8067 data_time: 0.0386 memory: 13619 grad_norm: 3.4152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0657 loss: 2.0657 2022/07/31 23:41:48 - mmengine - INFO - Epoch(train) [4][880/940] lr: 1.0000e-02 eta: 20:32:15 time: 0.7294 data_time: 0.0416 memory: 13619 grad_norm: 3.4611 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0147 loss: 2.0147 2022/07/31 23:42:04 - mmengine - INFO - Epoch(train) [4][900/940] lr: 1.0000e-02 eta: 20:31:57 time: 0.8143 data_time: 0.0473 memory: 13619 grad_norm: 3.4266 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.9932 loss: 1.9932 2022/07/31 23:42:18 - mmengine - INFO - Epoch(train) [4][920/940] lr: 1.0000e-02 eta: 20:30:37 time: 0.6873 data_time: 0.0375 memory: 13619 grad_norm: 3.4278 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8123 loss: 1.8123 2022/07/31 23:42:32 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/07/31 23:42:32 - mmengine - INFO - Epoch(train) [4][940/940] lr: 1.0000e-02 eta: 20:29:28 time: 0.7093 data_time: 0.0271 memory: 13619 grad_norm: 3.6510 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0147 loss: 2.0147 2022/07/31 23:42:49 - mmengine - INFO - Epoch(val) [4][20/78] eta: 0:00:50 time: 0.8648 data_time: 0.7720 memory: 2186 2022/07/31 23:43:01 - mmengine - INFO - Epoch(val) [4][40/78] eta: 0:00:22 time: 0.6022 data_time: 0.4920 memory: 2186 2022/07/31 23:43:18 - mmengine - INFO - Epoch(val) [4][60/78] eta: 0:00:15 time: 0.8380 data_time: 0.7457 memory: 2186 2022/07/31 23:43:31 - mmengine - INFO - Epoch(val) [4][78/78] acc/top1: 0.5895 acc/top5: 0.8291 acc/mean1: 0.5893 2022/07/31 23:43:31 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/07/31 23:43:33 - mmengine - INFO - The best checkpoint with 0.5895 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/07/31 23:43:52 - mmengine - INFO - Epoch(train) [5][20/940] lr: 1.0000e-02 eta: 20:30:16 time: 0.9512 data_time: 0.6426 memory: 13619 grad_norm: 3.3962 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.9691 loss: 1.9691 2022/07/31 23:44:06 - mmengine - INFO - Epoch(train) [5][40/940] lr: 1.0000e-02 eta: 20:29:16 time: 0.7273 data_time: 0.3976 memory: 13619 grad_norm: 3.3854 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.0407 loss: 2.0407 2022/07/31 23:44:22 - mmengine - INFO - Epoch(train) [5][60/940] lr: 1.0000e-02 eta: 20:28:45 time: 0.7862 data_time: 0.5001 memory: 13619 grad_norm: 3.3883 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9031 loss: 1.9031 2022/07/31 23:44:36 - mmengine - INFO - Epoch(train) [5][80/940] lr: 1.0000e-02 eta: 20:27:27 time: 0.6859 data_time: 0.3141 memory: 13619 grad_norm: 3.3806 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.0600 loss: 2.0600 2022/07/31 23:44:53 - mmengine - INFO - Epoch(train) [5][100/940] lr: 1.0000e-02 eta: 20:27:27 time: 0.8514 data_time: 0.2602 memory: 13619 grad_norm: 3.4817 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8291 loss: 1.8291 2022/07/31 23:45:07 - mmengine - INFO - Epoch(train) [5][120/940] lr: 1.0000e-02 eta: 20:26:11 time: 0.6885 data_time: 0.2486 memory: 13619 grad_norm: 3.3766 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9216 loss: 1.9216 2022/07/31 23:45:23 - mmengine - INFO - Epoch(train) [5][140/940] lr: 1.0000e-02 eta: 20:26:02 time: 0.8334 data_time: 0.3831 memory: 13619 grad_norm: 3.4013 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8497 loss: 1.8497 2022/07/31 23:45:37 - mmengine - INFO - Epoch(train) [5][160/940] lr: 1.0000e-02 eta: 20:24:38 time: 0.6686 data_time: 0.2541 memory: 13619 grad_norm: 3.4127 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8376 loss: 1.8376 2022/07/31 23:45:55 - mmengine - INFO - Epoch(train) [5][180/940] lr: 1.0000e-02 eta: 20:25:17 time: 0.9360 data_time: 0.5015 memory: 13619 grad_norm: 3.5247 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.9672 loss: 1.9672 2022/07/31 23:46:08 - mmengine - INFO - Epoch(train) [5][200/940] lr: 1.0000e-02 eta: 20:23:41 time: 0.6424 data_time: 0.3325 memory: 13619 grad_norm: 3.4326 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9537 loss: 1.9537 2022/07/31 23:46:25 - mmengine - INFO - Epoch(train) [5][220/940] lr: 1.0000e-02 eta: 20:23:35 time: 0.8373 data_time: 0.4145 memory: 13619 grad_norm: 3.3986 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.0538 loss: 2.0538 2022/07/31 23:46:38 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/07/31 23:46:38 - mmengine - INFO - Epoch(train) [5][240/940] lr: 1.0000e-02 eta: 20:22:08 time: 0.6599 data_time: 0.2228 memory: 13619 grad_norm: 3.4656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9197 loss: 1.9197 2022/07/31 23:46:56 - mmengine - INFO - Epoch(train) [5][260/940] lr: 1.0000e-02 eta: 20:22:18 time: 0.8726 data_time: 0.2855 memory: 13619 grad_norm: 3.4378 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8935 loss: 1.8935 2022/07/31 23:47:08 - mmengine - INFO - Epoch(train) [5][280/940] lr: 1.0000e-02 eta: 20:20:44 time: 0.6398 data_time: 0.1736 memory: 13619 grad_norm: 3.4394 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8636 loss: 1.8636 2022/07/31 23:47:26 - mmengine - INFO - Epoch(train) [5][300/940] lr: 1.0000e-02 eta: 20:20:50 time: 0.8643 data_time: 0.3906 memory: 13619 grad_norm: 3.4221 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.9068 loss: 1.9068 2022/07/31 23:47:40 - mmengine - INFO - Epoch(train) [5][320/940] lr: 1.0000e-02 eta: 20:19:42 time: 0.6983 data_time: 0.1893 memory: 13619 grad_norm: 3.4249 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1074 loss: 2.1074 2022/07/31 23:47:56 - mmengine - INFO - Epoch(train) [5][340/940] lr: 1.0000e-02 eta: 20:19:28 time: 0.8198 data_time: 0.2968 memory: 13619 grad_norm: 3.5490 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0118 loss: 2.0118 2022/07/31 23:48:10 - mmengine - INFO - Epoch(train) [5][360/940] lr: 1.0000e-02 eta: 20:18:33 time: 0.7230 data_time: 0.1172 memory: 13619 grad_norm: 3.4665 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9486 loss: 1.9486 2022/07/31 23:48:27 - mmengine - INFO - Epoch(train) [5][380/940] lr: 1.0000e-02 eta: 20:18:33 time: 0.8519 data_time: 0.0382 memory: 13619 grad_norm: 3.4596 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9595 loss: 1.9595 2022/07/31 23:48:42 - mmengine - INFO - Epoch(train) [5][400/940] lr: 1.0000e-02 eta: 20:17:33 time: 0.7123 data_time: 0.0598 memory: 13619 grad_norm: 3.4138 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.9155 loss: 1.9155 2022/07/31 23:48:59 - mmengine - INFO - Epoch(train) [5][420/940] lr: 1.0000e-02 eta: 20:17:31 time: 0.8463 data_time: 0.0382 memory: 13619 grad_norm: 3.4931 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8419 loss: 1.8419 2022/07/31 23:49:12 - mmengine - INFO - Epoch(train) [5][440/940] lr: 1.0000e-02 eta: 20:16:12 time: 0.6658 data_time: 0.0364 memory: 13619 grad_norm: 3.4203 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9570 loss: 1.9570 2022/07/31 23:49:28 - mmengine - INFO - Epoch(train) [5][460/940] lr: 1.0000e-02 eta: 20:15:50 time: 0.7992 data_time: 0.0398 memory: 13619 grad_norm: 3.4673 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9502 loss: 1.9502 2022/07/31 23:49:42 - mmengine - INFO - Epoch(train) [5][480/940] lr: 1.0000e-02 eta: 20:14:45 time: 0.6973 data_time: 0.0351 memory: 13619 grad_norm: 3.4403 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9156 loss: 1.9156 2022/07/31 23:49:59 - mmengine - INFO - Epoch(train) [5][500/940] lr: 1.0000e-02 eta: 20:14:35 time: 0.8288 data_time: 0.1202 memory: 13619 grad_norm: 3.4493 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.8077 loss: 1.8077 2022/07/31 23:50:12 - mmengine - INFO - Epoch(train) [5][520/940] lr: 1.0000e-02 eta: 20:13:22 time: 0.6758 data_time: 0.1366 memory: 13619 grad_norm: 3.5452 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 2.0216 loss: 2.0216 2022/07/31 23:50:29 - mmengine - INFO - Epoch(train) [5][540/940] lr: 1.0000e-02 eta: 20:13:20 time: 0.8444 data_time: 0.2415 memory: 13619 grad_norm: 3.4533 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.9376 loss: 1.9376 2022/07/31 23:50:42 - mmengine - INFO - Epoch(train) [5][560/940] lr: 1.0000e-02 eta: 20:12:03 time: 0.6673 data_time: 0.1956 memory: 13619 grad_norm: 3.5638 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0373 loss: 2.0373 2022/07/31 23:51:00 - mmengine - INFO - Epoch(train) [5][580/940] lr: 1.0000e-02 eta: 20:12:27 time: 0.9061 data_time: 0.1410 memory: 13619 grad_norm: 3.4980 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 2.1274 loss: 2.1274 2022/07/31 23:51:14 - mmengine - INFO - Epoch(train) [5][600/940] lr: 1.0000e-02 eta: 20:11:24 time: 0.6978 data_time: 0.0330 memory: 13619 grad_norm: 3.4585 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8626 loss: 1.8626 2022/07/31 23:51:32 - mmengine - INFO - Epoch(train) [5][620/940] lr: 1.0000e-02 eta: 20:11:27 time: 0.8589 data_time: 0.0344 memory: 13619 grad_norm: 3.5470 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9386 loss: 1.9386 2022/07/31 23:51:45 - mmengine - INFO - Epoch(train) [5][640/940] lr: 1.0000e-02 eta: 20:10:08 time: 0.6579 data_time: 0.0330 memory: 13619 grad_norm: 3.4635 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0324 loss: 2.0324 2022/07/31 23:52:02 - mmengine - INFO - Epoch(train) [5][660/940] lr: 1.0000e-02 eta: 20:10:20 time: 0.8794 data_time: 0.0333 memory: 13619 grad_norm: 3.5059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8753 loss: 1.8753 2022/07/31 23:52:15 - mmengine - INFO - Epoch(train) [5][680/940] lr: 1.0000e-02 eta: 20:09:02 time: 0.6565 data_time: 0.0346 memory: 13619 grad_norm: 3.4762 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9267 loss: 1.9267 2022/07/31 23:52:33 - mmengine - INFO - Epoch(train) [5][700/940] lr: 1.0000e-02 eta: 20:09:05 time: 0.8587 data_time: 0.1177 memory: 13619 grad_norm: 3.4708 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8188 loss: 1.8188 2022/07/31 23:52:46 - mmengine - INFO - Epoch(train) [5][720/940] lr: 1.0000e-02 eta: 20:07:45 time: 0.6492 data_time: 0.0343 memory: 13619 grad_norm: 3.4758 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9192 loss: 1.9192 2022/07/31 23:53:04 - mmengine - INFO - Epoch(train) [5][740/940] lr: 1.0000e-02 eta: 20:08:07 time: 0.9063 data_time: 0.0418 memory: 13619 grad_norm: 3.5041 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.9967 loss: 1.9967 2022/07/31 23:53:17 - mmengine - INFO - Epoch(train) [5][760/940] lr: 1.0000e-02 eta: 20:06:58 time: 0.6780 data_time: 0.0325 memory: 13619 grad_norm: 3.4920 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8642 loss: 1.8642 2022/07/31 23:53:35 - mmengine - INFO - Epoch(train) [5][780/940] lr: 1.0000e-02 eta: 20:07:10 time: 0.8799 data_time: 0.0664 memory: 13619 grad_norm: 3.4836 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.0816 loss: 2.0816 2022/07/31 23:53:48 - mmengine - INFO - Epoch(train) [5][800/940] lr: 1.0000e-02 eta: 20:06:00 time: 0.6718 data_time: 0.0330 memory: 13619 grad_norm: 3.4134 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8289 loss: 1.8289 2022/07/31 23:54:05 - mmengine - INFO - Epoch(train) [5][820/940] lr: 1.0000e-02 eta: 20:05:55 time: 0.8390 data_time: 0.0389 memory: 13619 grad_norm: 3.4923 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9720 loss: 1.9720 2022/07/31 23:54:19 - mmengine - INFO - Epoch(train) [5][840/940] lr: 1.0000e-02 eta: 20:04:49 time: 0.6789 data_time: 0.0353 memory: 13619 grad_norm: 3.4090 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8975 loss: 1.8975 2022/07/31 23:54:36 - mmengine - INFO - Epoch(train) [5][860/940] lr: 1.0000e-02 eta: 20:04:57 time: 0.8723 data_time: 0.0341 memory: 13619 grad_norm: 3.4681 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0020 loss: 2.0020 2022/07/31 23:54:50 - mmengine - INFO - Epoch(train) [5][880/940] lr: 1.0000e-02 eta: 20:03:54 time: 0.6867 data_time: 0.0373 memory: 13619 grad_norm: 3.4550 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.9267 loss: 1.9267 2022/07/31 23:55:06 - mmengine - INFO - Epoch(train) [5][900/940] lr: 1.0000e-02 eta: 20:03:38 time: 0.8084 data_time: 0.0350 memory: 13619 grad_norm: 3.4471 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 1.9198 loss: 1.9198 2022/07/31 23:55:19 - mmengine - INFO - Epoch(train) [5][920/940] lr: 1.0000e-02 eta: 20:02:26 time: 0.6624 data_time: 0.0429 memory: 13619 grad_norm: 3.4996 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0646 loss: 2.0646 2022/07/31 23:55:34 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/07/31 23:55:34 - mmengine - INFO - Epoch(train) [5][940/940] lr: 1.0000e-02 eta: 20:01:40 time: 0.7285 data_time: 0.0289 memory: 13619 grad_norm: 3.6573 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 2.1176 loss: 2.1176 2022/07/31 23:55:51 - mmengine - INFO - Epoch(val) [5][20/78] eta: 0:00:48 time: 0.8416 data_time: 0.7477 memory: 2186 2022/07/31 23:56:03 - mmengine - INFO - Epoch(val) [5][40/78] eta: 0:00:22 time: 0.5909 data_time: 0.4964 memory: 2186 2022/07/31 23:56:21 - mmengine - INFO - Epoch(val) [5][60/78] eta: 0:00:16 time: 0.8990 data_time: 0.8020 memory: 2186 2022/07/31 23:56:33 - mmengine - INFO - Epoch(val) [5][78/78] acc/top1: 0.6053 acc/top5: 0.8369 acc/mean1: 0.6051 2022/07/31 23:56:33 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_5.pth is removed 2022/07/31 23:56:35 - mmengine - INFO - The best checkpoint with 0.6053 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/07/31 23:56:54 - mmengine - INFO - Epoch(train) [6][20/940] lr: 1.0000e-02 eta: 20:02:10 time: 0.9303 data_time: 0.6504 memory: 13619 grad_norm: 3.3868 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8686 loss: 1.8686 2022/07/31 23:57:07 - mmengine - INFO - Epoch(train) [6][40/940] lr: 1.0000e-02 eta: 20:00:56 time: 0.6549 data_time: 0.3681 memory: 13619 grad_norm: 3.3737 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7399 loss: 1.7399 2022/07/31 23:57:25 - mmengine - INFO - Epoch(train) [6][60/940] lr: 1.0000e-02 eta: 20:01:16 time: 0.9032 data_time: 0.4985 memory: 13619 grad_norm: 3.4712 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8970 loss: 1.8970 2022/07/31 23:57:38 - mmengine - INFO - Epoch(train) [6][80/940] lr: 1.0000e-02 eta: 19:59:59 time: 0.6447 data_time: 0.3084 memory: 13619 grad_norm: 3.4347 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.8098 loss: 1.8098 2022/07/31 23:57:57 - mmengine - INFO - Epoch(train) [6][100/940] lr: 1.0000e-02 eta: 20:00:41 time: 0.9636 data_time: 0.4565 memory: 13619 grad_norm: 3.5337 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8887 loss: 1.8887 2022/07/31 23:58:11 - mmengine - INFO - Epoch(train) [6][120/940] lr: 1.0000e-02 eta: 19:59:44 time: 0.6961 data_time: 0.1774 memory: 13619 grad_norm: 3.5247 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8755 loss: 1.8755 2022/07/31 23:58:29 - mmengine - INFO - Epoch(train) [6][140/940] lr: 1.0000e-02 eta: 19:59:59 time: 0.8919 data_time: 0.0623 memory: 13619 grad_norm: 3.5282 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.9013 loss: 1.9013 2022/07/31 23:58:41 - mmengine - INFO - Epoch(train) [6][160/940] lr: 1.0000e-02 eta: 19:58:37 time: 0.6282 data_time: 0.0322 memory: 13619 grad_norm: 3.4669 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.9053 loss: 1.9053 2022/07/31 23:58:58 - mmengine - INFO - Epoch(train) [6][180/940] lr: 1.0000e-02 eta: 19:58:32 time: 0.8390 data_time: 0.0477 memory: 13619 grad_norm: 3.3837 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8708 loss: 1.8708 2022/07/31 23:59:11 - mmengine - INFO - Epoch(train) [6][200/940] lr: 1.0000e-02 eta: 19:57:21 time: 0.6563 data_time: 0.0403 memory: 13619 grad_norm: 3.4341 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.9673 loss: 1.9673 2022/07/31 23:59:29 - mmengine - INFO - Epoch(train) [6][220/940] lr: 1.0000e-02 eta: 19:57:36 time: 0.8917 data_time: 0.0432 memory: 13619 grad_norm: 3.4553 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8529 loss: 1.8529 2022/07/31 23:59:42 - mmengine - INFO - Epoch(train) [6][240/940] lr: 1.0000e-02 eta: 19:56:29 time: 0.6650 data_time: 0.0457 memory: 13619 grad_norm: 3.4816 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9305 loss: 1.9305 2022/07/31 23:59:58 - mmengine - INFO - Epoch(train) [6][260/940] lr: 1.0000e-02 eta: 19:56:13 time: 0.8078 data_time: 0.0912 memory: 13619 grad_norm: 3.5261 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0656 loss: 2.0656 2022/08/01 00:00:16 - mmengine - INFO - Epoch(train) [6][280/940] lr: 1.0000e-02 eta: 19:56:28 time: 0.8925 data_time: 0.0395 memory: 13619 grad_norm: 3.4237 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.7931 loss: 1.7931 2022/08/01 00:00:32 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 00:00:32 - mmengine - INFO - Epoch(train) [6][300/940] lr: 1.0000e-02 eta: 19:56:05 time: 0.7868 data_time: 0.0358 memory: 13619 grad_norm: 3.4990 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.8243 loss: 1.8243 2022/08/01 00:00:46 - mmengine - INFO - Epoch(train) [6][320/940] lr: 1.0000e-02 eta: 19:55:16 time: 0.7136 data_time: 0.0404 memory: 13619 grad_norm: 3.5390 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9072 loss: 1.9072 2022/08/01 00:01:04 - mmengine - INFO - Epoch(train) [6][340/940] lr: 1.0000e-02 eta: 19:55:20 time: 0.8636 data_time: 0.0584 memory: 13619 grad_norm: 3.4851 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.8247 loss: 1.8247 2022/08/01 00:01:17 - mmengine - INFO - Epoch(train) [6][360/940] lr: 1.0000e-02 eta: 19:54:22 time: 0.6849 data_time: 0.0384 memory: 13619 grad_norm: 3.5101 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.8872 loss: 1.8872 2022/08/01 00:01:33 - mmengine - INFO - Epoch(train) [6][380/940] lr: 1.0000e-02 eta: 19:54:08 time: 0.8134 data_time: 0.0381 memory: 13619 grad_norm: 3.4382 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8698 loss: 1.8698 2022/08/01 00:01:47 - mmengine - INFO - Epoch(train) [6][400/940] lr: 1.0000e-02 eta: 19:53:11 time: 0.6880 data_time: 0.0354 memory: 13619 grad_norm: 3.5469 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 1.8486 loss: 1.8486 2022/08/01 00:02:05 - mmengine - INFO - Epoch(train) [6][420/940] lr: 1.0000e-02 eta: 19:53:17 time: 0.8697 data_time: 0.0377 memory: 13619 grad_norm: 3.5281 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9922 loss: 1.9922 2022/08/01 00:02:18 - mmengine - INFO - Epoch(train) [6][440/940] lr: 1.0000e-02 eta: 19:52:15 time: 0.6709 data_time: 0.0499 memory: 13619 grad_norm: 3.5385 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8908 loss: 1.8908 2022/08/01 00:02:34 - mmengine - INFO - Epoch(train) [6][460/940] lr: 1.0000e-02 eta: 19:52:04 time: 0.8214 data_time: 0.0527 memory: 13619 grad_norm: 3.4878 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 1.9468 loss: 1.9468 2022/08/01 00:02:49 - mmengine - INFO - Epoch(train) [6][480/940] lr: 1.0000e-02 eta: 19:51:14 time: 0.7062 data_time: 0.1039 memory: 13619 grad_norm: 3.4470 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9354 loss: 1.9354 2022/08/01 00:03:05 - mmengine - INFO - Epoch(train) [6][500/940] lr: 1.0000e-02 eta: 19:50:56 time: 0.7987 data_time: 0.1712 memory: 13619 grad_norm: 3.4773 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8195 loss: 1.8195 2022/08/01 00:03:19 - mmengine - INFO - Epoch(train) [6][520/940] lr: 1.0000e-02 eta: 19:50:08 time: 0.7114 data_time: 0.0805 memory: 13619 grad_norm: 3.5877 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.8141 loss: 1.8141 2022/08/01 00:03:35 - mmengine - INFO - Epoch(train) [6][540/940] lr: 1.0000e-02 eta: 19:49:59 time: 0.8239 data_time: 0.0461 memory: 13619 grad_norm: 3.4910 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.8874 loss: 1.8874 2022/08/01 00:03:50 - mmengine - INFO - Epoch(train) [6][560/940] lr: 1.0000e-02 eta: 19:49:24 time: 0.7484 data_time: 0.0404 memory: 13619 grad_norm: 3.5395 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7562 loss: 1.7562 2022/08/01 00:04:08 - mmengine - INFO - Epoch(train) [6][580/940] lr: 1.0000e-02 eta: 19:49:30 time: 0.8707 data_time: 0.0350 memory: 13619 grad_norm: 3.5753 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9870 loss: 1.9870 2022/08/01 00:04:21 - mmengine - INFO - Epoch(train) [6][600/940] lr: 1.0000e-02 eta: 19:48:32 time: 0.6797 data_time: 0.0468 memory: 13619 grad_norm: 3.4782 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.9551 loss: 1.9551 2022/08/01 00:04:38 - mmengine - INFO - Epoch(train) [6][620/940] lr: 1.0000e-02 eta: 19:48:29 time: 0.8428 data_time: 0.0370 memory: 13619 grad_norm: 3.5074 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8576 loss: 1.8576 2022/08/01 00:04:52 - mmengine - INFO - Epoch(train) [6][640/940] lr: 1.0000e-02 eta: 19:47:32 time: 0.6820 data_time: 0.0416 memory: 13619 grad_norm: 3.5018 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.7121 loss: 1.7121 2022/08/01 00:05:08 - mmengine - INFO - Epoch(train) [6][660/940] lr: 1.0000e-02 eta: 19:47:22 time: 0.8197 data_time: 0.0374 memory: 13619 grad_norm: 3.5647 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.8616 loss: 1.8616 2022/08/01 00:05:22 - mmengine - INFO - Epoch(train) [6][680/940] lr: 1.0000e-02 eta: 19:46:21 time: 0.6683 data_time: 0.0485 memory: 13619 grad_norm: 3.5343 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9922 loss: 1.9922 2022/08/01 00:05:39 - mmengine - INFO - Epoch(train) [6][700/940] lr: 1.0000e-02 eta: 19:46:22 time: 0.8549 data_time: 0.0578 memory: 13619 grad_norm: 3.5191 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.7931 loss: 1.7931 2022/08/01 00:05:52 - mmengine - INFO - Epoch(train) [6][720/940] lr: 1.0000e-02 eta: 19:45:28 time: 0.6879 data_time: 0.0445 memory: 13619 grad_norm: 3.4850 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7335 loss: 1.7335 2022/08/01 00:06:10 - mmengine - INFO - Epoch(train) [6][740/940] lr: 1.0000e-02 eta: 19:45:29 time: 0.8572 data_time: 0.0357 memory: 13619 grad_norm: 3.6212 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9267 loss: 1.9267 2022/08/01 00:06:23 - mmengine - INFO - Epoch(train) [6][760/940] lr: 1.0000e-02 eta: 19:44:25 time: 0.6552 data_time: 0.0423 memory: 13619 grad_norm: 3.5104 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8216 loss: 1.8216 2022/08/01 00:06:39 - mmengine - INFO - Epoch(train) [6][780/940] lr: 1.0000e-02 eta: 19:44:14 time: 0.8165 data_time: 0.0429 memory: 13619 grad_norm: 3.5305 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8968 loss: 1.8968 2022/08/01 00:06:54 - mmengine - INFO - Epoch(train) [6][800/940] lr: 1.0000e-02 eta: 19:43:39 time: 0.7444 data_time: 0.0439 memory: 13619 grad_norm: 3.5521 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.8566 loss: 1.8566 2022/08/01 00:07:10 - mmengine - INFO - Epoch(train) [6][820/940] lr: 1.0000e-02 eta: 19:43:25 time: 0.8084 data_time: 0.0404 memory: 13619 grad_norm: 3.5305 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.7971 loss: 1.7971 2022/08/01 00:07:26 - mmengine - INFO - Epoch(train) [6][840/940] lr: 1.0000e-02 eta: 19:43:14 time: 0.8175 data_time: 0.0348 memory: 13619 grad_norm: 3.5633 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0407 loss: 2.0407 2022/08/01 00:07:40 - mmengine - INFO - Epoch(train) [6][860/940] lr: 1.0000e-02 eta: 19:42:12 time: 0.6577 data_time: 0.0393 memory: 13619 grad_norm: 3.4743 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.6374 loss: 1.6374 2022/08/01 00:07:56 - mmengine - INFO - Epoch(train) [6][880/940] lr: 1.0000e-02 eta: 19:42:04 time: 0.8273 data_time: 0.0394 memory: 13619 grad_norm: 3.6210 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9951 loss: 1.9951 2022/08/01 00:08:11 - mmengine - INFO - Epoch(train) [6][900/940] lr: 1.0000e-02 eta: 19:41:31 time: 0.7505 data_time: 0.0362 memory: 13619 grad_norm: 3.4427 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8865 loss: 1.8865 2022/08/01 00:08:27 - mmengine - INFO - Epoch(train) [6][920/940] lr: 1.0000e-02 eta: 19:41:21 time: 0.8195 data_time: 0.0464 memory: 13619 grad_norm: 3.5131 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8345 loss: 1.8345 2022/08/01 00:08:39 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 00:08:39 - mmengine - INFO - Epoch(train) [6][940/940] lr: 1.0000e-02 eta: 19:39:57 time: 0.5850 data_time: 0.0240 memory: 13619 grad_norm: 3.7099 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 2.0034 loss: 2.0034 2022/08/01 00:08:39 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/01 00:08:59 - mmengine - INFO - Epoch(val) [6][20/78] eta: 0:00:50 time: 0.8690 data_time: 0.7778 memory: 2186 2022/08/01 00:09:10 - mmengine - INFO - Epoch(val) [6][40/78] eta: 0:00:22 time: 0.5861 data_time: 0.4950 memory: 2186 2022/08/01 00:09:27 - mmengine - INFO - Epoch(val) [6][60/78] eta: 0:00:14 time: 0.8270 data_time: 0.7163 memory: 2186 2022/08/01 00:09:40 - mmengine - INFO - Epoch(val) [6][78/78] acc/top1: 0.6092 acc/top5: 0.8386 acc/mean1: 0.6091 2022/08/01 00:09:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/01 00:09:41 - mmengine - INFO - The best checkpoint with 0.6092 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/01 00:10:01 - mmengine - INFO - Epoch(train) [7][20/940] lr: 1.0000e-02 eta: 19:40:40 time: 0.9921 data_time: 0.6004 memory: 13619 grad_norm: 3.4743 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7348 loss: 1.7348 2022/08/01 00:10:14 - mmengine - INFO - Epoch(train) [7][40/940] lr: 1.0000e-02 eta: 19:39:49 time: 0.6895 data_time: 0.1311 memory: 13619 grad_norm: 3.3927 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.8726 loss: 1.8726 2022/08/01 00:10:32 - mmengine - INFO - Epoch(train) [7][60/940] lr: 1.0000e-02 eta: 19:39:51 time: 0.8605 data_time: 0.1054 memory: 13619 grad_norm: 3.4754 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8463 loss: 1.8463 2022/08/01 00:10:45 - mmengine - INFO - Epoch(train) [7][80/940] lr: 1.0000e-02 eta: 19:39:01 time: 0.6888 data_time: 0.0315 memory: 13619 grad_norm: 3.5129 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.8417 loss: 1.8417 2022/08/01 00:11:02 - mmengine - INFO - Epoch(train) [7][100/940] lr: 1.0000e-02 eta: 19:38:56 time: 0.8375 data_time: 0.0386 memory: 13619 grad_norm: 3.5483 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8545 loss: 1.8545 2022/08/01 00:11:16 - mmengine - INFO - Epoch(train) [7][120/940] lr: 1.0000e-02 eta: 19:38:05 time: 0.6895 data_time: 0.0469 memory: 13619 grad_norm: 3.5590 top1_acc: 0.3125 top5_acc: 0.7812 loss_cls: 1.8770 loss: 1.8770 2022/08/01 00:11:34 - mmengine - INFO - Epoch(train) [7][140/940] lr: 1.0000e-02 eta: 19:38:16 time: 0.8890 data_time: 0.0667 memory: 13619 grad_norm: 3.4973 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7566 loss: 1.7566 2022/08/01 00:11:47 - mmengine - INFO - Epoch(train) [7][160/940] lr: 1.0000e-02 eta: 19:37:12 time: 0.6449 data_time: 0.1497 memory: 13619 grad_norm: 3.4969 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9064 loss: 1.9064 2022/08/01 00:12:03 - mmengine - INFO - Epoch(train) [7][180/940] lr: 1.0000e-02 eta: 19:37:06 time: 0.8316 data_time: 0.2157 memory: 13619 grad_norm: 3.5688 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7981 loss: 1.7981 2022/08/01 00:12:19 - mmengine - INFO - Epoch(train) [7][200/940] lr: 1.0000e-02 eta: 19:36:49 time: 0.7995 data_time: 0.3416 memory: 13619 grad_norm: 3.4883 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.8566 loss: 1.8566 2022/08/01 00:12:34 - mmengine - INFO - Epoch(train) [7][220/940] lr: 1.0000e-02 eta: 19:36:13 time: 0.7341 data_time: 0.1827 memory: 13619 grad_norm: 3.5683 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7997 loss: 1.7997 2022/08/01 00:12:49 - mmengine - INFO - Epoch(train) [7][240/940] lr: 1.0000e-02 eta: 19:35:49 time: 0.7750 data_time: 0.3714 memory: 13619 grad_norm: 3.6151 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 1.8663 loss: 1.8663 2022/08/01 00:13:06 - mmengine - INFO - Epoch(train) [7][260/940] lr: 1.0000e-02 eta: 19:35:42 time: 0.8308 data_time: 0.2559 memory: 13619 grad_norm: 3.5011 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.7195 loss: 1.7195 2022/08/01 00:13:20 - mmengine - INFO - Epoch(train) [7][280/940] lr: 1.0000e-02 eta: 19:34:55 time: 0.6941 data_time: 0.3382 memory: 13619 grad_norm: 3.5298 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8756 loss: 1.8756 2022/08/01 00:13:37 - mmengine - INFO - Epoch(train) [7][300/940] lr: 1.0000e-02 eta: 19:34:52 time: 0.8454 data_time: 0.2858 memory: 13619 grad_norm: 3.5484 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7318 loss: 1.7318 2022/08/01 00:13:51 - mmengine - INFO - Epoch(train) [7][320/940] lr: 1.0000e-02 eta: 19:34:11 time: 0.7140 data_time: 0.2355 memory: 13619 grad_norm: 3.4567 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8601 loss: 1.8601 2022/08/01 00:14:08 - mmengine - INFO - Epoch(train) [7][340/940] lr: 1.0000e-02 eta: 19:34:08 time: 0.8451 data_time: 0.3608 memory: 13619 grad_norm: 3.5462 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.7513 loss: 1.7513 2022/08/01 00:14:23 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 00:14:23 - mmengine - INFO - Epoch(train) [7][360/940] lr: 1.0000e-02 eta: 19:33:36 time: 0.7479 data_time: 0.4005 memory: 13619 grad_norm: 3.4916 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.6722 loss: 1.6722 2022/08/01 00:14:38 - mmengine - INFO - Epoch(train) [7][380/940] lr: 1.0000e-02 eta: 19:33:11 time: 0.7676 data_time: 0.3111 memory: 13619 grad_norm: 3.5455 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.9557 loss: 1.9557 2022/08/01 00:14:54 - mmengine - INFO - Epoch(train) [7][400/940] lr: 1.0000e-02 eta: 19:32:43 time: 0.7580 data_time: 0.3361 memory: 13619 grad_norm: 3.5441 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8345 loss: 1.8345 2022/08/01 00:15:08 - mmengine - INFO - Epoch(train) [7][420/940] lr: 1.0000e-02 eta: 19:32:09 time: 0.7384 data_time: 0.3264 memory: 13619 grad_norm: 3.5520 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7749 loss: 1.7749 2022/08/01 00:15:25 - mmengine - INFO - Epoch(train) [7][440/940] lr: 1.0000e-02 eta: 19:31:56 time: 0.8113 data_time: 0.5120 memory: 13619 grad_norm: 3.4736 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7791 loss: 1.7791 2022/08/01 00:15:39 - mmengine - INFO - Epoch(train) [7][460/940] lr: 1.0000e-02 eta: 19:31:16 time: 0.7155 data_time: 0.3876 memory: 13619 grad_norm: 3.6075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0032 loss: 2.0032 2022/08/01 00:15:54 - mmengine - INFO - Epoch(train) [7][480/940] lr: 1.0000e-02 eta: 19:30:50 time: 0.7650 data_time: 0.3392 memory: 13619 grad_norm: 3.5091 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.6823 loss: 1.6823 2022/08/01 00:16:11 - mmengine - INFO - Epoch(train) [7][500/940] lr: 1.0000e-02 eta: 19:30:41 time: 0.8250 data_time: 0.2741 memory: 13619 grad_norm: 3.5581 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7167 loss: 1.7167 2022/08/01 00:16:24 - mmengine - INFO - Epoch(train) [7][520/940] lr: 1.0000e-02 eta: 19:29:49 time: 0.6726 data_time: 0.1941 memory: 13619 grad_norm: 3.5110 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.9452 loss: 1.9452 2022/08/01 00:16:41 - mmengine - INFO - Epoch(train) [7][540/940] lr: 1.0000e-02 eta: 19:29:49 time: 0.8535 data_time: 0.3135 memory: 13619 grad_norm: 3.5687 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8943 loss: 1.8943 2022/08/01 00:16:55 - mmengine - INFO - Epoch(train) [7][560/940] lr: 1.0000e-02 eta: 19:29:01 time: 0.6891 data_time: 0.1459 memory: 13619 grad_norm: 3.5629 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8846 loss: 1.8846 2022/08/01 00:17:12 - mmengine - INFO - Epoch(train) [7][580/940] lr: 1.0000e-02 eta: 19:29:01 time: 0.8532 data_time: 0.1952 memory: 13619 grad_norm: 3.4873 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8165 loss: 1.8165 2022/08/01 00:17:27 - mmengine - INFO - Epoch(train) [7][600/940] lr: 1.0000e-02 eta: 19:28:33 time: 0.7574 data_time: 0.0441 memory: 13619 grad_norm: 3.4729 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7152 loss: 1.7152 2022/08/01 00:17:43 - mmengine - INFO - Epoch(train) [7][620/940] lr: 1.0000e-02 eta: 19:28:10 time: 0.7723 data_time: 0.0414 memory: 13619 grad_norm: 3.4964 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.8217 loss: 1.8217 2022/08/01 00:17:59 - mmengine - INFO - Epoch(train) [7][640/940] lr: 1.0000e-02 eta: 19:28:00 time: 0.8235 data_time: 0.0442 memory: 13619 grad_norm: 3.5924 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.9266 loss: 1.9266 2022/08/01 00:18:13 - mmengine - INFO - Epoch(train) [7][660/940] lr: 1.0000e-02 eta: 19:27:14 time: 0.6894 data_time: 0.0309 memory: 13619 grad_norm: 3.6205 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7558 loss: 1.7558 2022/08/01 00:18:29 - mmengine - INFO - Epoch(train) [7][680/940] lr: 1.0000e-02 eta: 19:27:01 time: 0.8082 data_time: 0.0382 memory: 13619 grad_norm: 3.5556 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7207 loss: 1.7207 2022/08/01 00:18:42 - mmengine - INFO - Epoch(train) [7][700/940] lr: 1.0000e-02 eta: 19:26:09 time: 0.6690 data_time: 0.0337 memory: 13619 grad_norm: 3.5065 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.8366 loss: 1.8366 2022/08/01 00:19:00 - mmengine - INFO - Epoch(train) [7][720/940] lr: 1.0000e-02 eta: 19:26:17 time: 0.8869 data_time: 0.0550 memory: 13619 grad_norm: 3.5907 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7755 loss: 1.7755 2022/08/01 00:19:14 - mmengine - INFO - Epoch(train) [7][740/940] lr: 1.0000e-02 eta: 19:25:30 time: 0.6836 data_time: 0.0319 memory: 13619 grad_norm: 3.5426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8606 loss: 1.8606 2022/08/01 00:19:31 - mmengine - INFO - Epoch(train) [7][760/940] lr: 1.0000e-02 eta: 19:25:27 time: 0.8463 data_time: 0.0415 memory: 13619 grad_norm: 3.5528 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.8776 loss: 1.8776 2022/08/01 00:19:44 - mmengine - INFO - Epoch(train) [7][780/940] lr: 1.0000e-02 eta: 19:24:28 time: 0.6383 data_time: 0.0393 memory: 13619 grad_norm: 3.5181 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.8759 loss: 1.8759 2022/08/01 00:20:01 - mmengine - INFO - Epoch(train) [7][800/940] lr: 1.0000e-02 eta: 19:24:31 time: 0.8703 data_time: 0.0379 memory: 13619 grad_norm: 3.5396 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.8570 loss: 1.8570 2022/08/01 00:20:15 - mmengine - INFO - Epoch(train) [7][820/940] lr: 1.0000e-02 eta: 19:23:44 time: 0.6810 data_time: 0.0336 memory: 13619 grad_norm: 3.5806 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.8718 loss: 1.8718 2022/08/01 00:20:32 - mmengine - INFO - Epoch(train) [7][840/940] lr: 1.0000e-02 eta: 19:23:48 time: 0.8745 data_time: 0.0454 memory: 13619 grad_norm: 3.5274 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.8107 loss: 1.8107 2022/08/01 00:20:46 - mmengine - INFO - Epoch(train) [7][860/940] lr: 1.0000e-02 eta: 19:23:02 time: 0.6833 data_time: 0.0468 memory: 13619 grad_norm: 3.5456 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.8584 loss: 1.8584 2022/08/01 00:21:02 - mmengine - INFO - Epoch(train) [7][880/940] lr: 1.0000e-02 eta: 19:22:50 time: 0.8121 data_time: 0.0389 memory: 13619 grad_norm: 3.6013 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9314 loss: 1.9314 2022/08/01 00:21:18 - mmengine - INFO - Epoch(train) [7][900/940] lr: 1.0000e-02 eta: 19:22:31 time: 0.7863 data_time: 0.0328 memory: 13619 grad_norm: 3.5984 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7960 loss: 1.7960 2022/08/01 00:21:33 - mmengine - INFO - Epoch(train) [7][920/940] lr: 1.0000e-02 eta: 19:22:01 time: 0.7450 data_time: 0.0384 memory: 13619 grad_norm: 3.5710 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7794 loss: 1.7794 2022/08/01 00:21:45 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 00:21:45 - mmengine - INFO - Epoch(train) [7][940/940] lr: 1.0000e-02 eta: 19:20:53 time: 0.6009 data_time: 0.0249 memory: 13619 grad_norm: 3.7606 top1_acc: 0.0000 top5_acc: 0.1429 loss_cls: 1.9432 loss: 1.9432 2022/08/01 00:22:02 - mmengine - INFO - Epoch(val) [7][20/78] eta: 0:00:49 time: 0.8595 data_time: 0.7643 memory: 2186 2022/08/01 00:22:14 - mmengine - INFO - Epoch(val) [7][40/78] eta: 0:00:23 time: 0.6140 data_time: 0.5159 memory: 2186 2022/08/01 00:22:31 - mmengine - INFO - Epoch(val) [7][60/78] eta: 0:00:15 time: 0.8668 data_time: 0.7686 memory: 2186 2022/08/01 00:22:44 - mmengine - INFO - Epoch(val) [7][78/78] acc/top1: 0.6244 acc/top5: 0.8520 acc/mean1: 0.6243 2022/08/01 00:22:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/01 00:22:45 - mmengine - INFO - The best checkpoint with 0.6244 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/08/01 00:23:04 - mmengine - INFO - Epoch(train) [8][20/940] lr: 1.0000e-02 eta: 19:21:12 time: 0.9315 data_time: 0.6474 memory: 13619 grad_norm: 3.4852 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.8867 loss: 1.8867 2022/08/01 00:23:17 - mmengine - INFO - Epoch(train) [8][40/940] lr: 1.0000e-02 eta: 19:20:14 time: 0.6372 data_time: 0.3541 memory: 13619 grad_norm: 3.5085 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6941 loss: 1.6941 2022/08/01 00:23:34 - mmengine - INFO - Epoch(train) [8][60/940] lr: 1.0000e-02 eta: 19:20:19 time: 0.8762 data_time: 0.5288 memory: 13619 grad_norm: 3.4939 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7244 loss: 1.7244 2022/08/01 00:23:47 - mmengine - INFO - Epoch(train) [8][80/940] lr: 1.0000e-02 eta: 19:19:16 time: 0.6175 data_time: 0.2451 memory: 13619 grad_norm: 3.5413 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.8031 loss: 1.8031 2022/08/01 00:24:04 - mmengine - INFO - Epoch(train) [8][100/940] lr: 1.0000e-02 eta: 19:19:15 time: 0.8547 data_time: 0.3514 memory: 13619 grad_norm: 3.5441 top1_acc: 0.3438 top5_acc: 0.8125 loss_cls: 1.8275 loss: 1.8275 2022/08/01 00:24:18 - mmengine - INFO - Epoch(train) [8][120/940] lr: 1.0000e-02 eta: 19:18:32 time: 0.6912 data_time: 0.1938 memory: 13619 grad_norm: 3.6071 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.7244 loss: 1.7244 2022/08/01 00:24:35 - mmengine - INFO - Epoch(train) [8][140/940] lr: 1.0000e-02 eta: 19:18:42 time: 0.8946 data_time: 0.1260 memory: 13619 grad_norm: 3.5178 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.7840 loss: 1.7840 2022/08/01 00:24:48 - mmengine - INFO - Epoch(train) [8][160/940] lr: 1.0000e-02 eta: 19:17:47 time: 0.6472 data_time: 0.0343 memory: 13619 grad_norm: 3.5190 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8524 loss: 1.8524 2022/08/01 00:25:06 - mmengine - INFO - Epoch(train) [8][180/940] lr: 1.0000e-02 eta: 19:17:50 time: 0.8709 data_time: 0.0369 memory: 13619 grad_norm: 3.5401 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7051 loss: 1.7051 2022/08/01 00:25:19 - mmengine - INFO - Epoch(train) [8][200/940] lr: 1.0000e-02 eta: 19:16:59 time: 0.6572 data_time: 0.0416 memory: 13619 grad_norm: 3.6073 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.7313 loss: 1.7313 2022/08/01 00:25:36 - mmengine - INFO - Epoch(train) [8][220/940] lr: 1.0000e-02 eta: 19:16:57 time: 0.8530 data_time: 0.0432 memory: 13619 grad_norm: 3.5260 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.9207 loss: 1.9207 2022/08/01 00:25:50 - mmengine - INFO - Epoch(train) [8][240/940] lr: 1.0000e-02 eta: 19:16:18 time: 0.7024 data_time: 0.0370 memory: 13619 grad_norm: 3.6376 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.9500 loss: 1.9500 2022/08/01 00:26:07 - mmengine - INFO - Epoch(train) [8][260/940] lr: 1.0000e-02 eta: 19:16:16 time: 0.8508 data_time: 0.0392 memory: 13619 grad_norm: 3.5985 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8240 loss: 1.8240 2022/08/01 00:26:20 - mmengine - INFO - Epoch(train) [8][280/940] lr: 1.0000e-02 eta: 19:15:27 time: 0.6680 data_time: 0.0525 memory: 13619 grad_norm: 3.5630 top1_acc: 0.3750 top5_acc: 0.8438 loss_cls: 1.8086 loss: 1.8086 2022/08/01 00:26:37 - mmengine - INFO - Epoch(train) [8][300/940] lr: 1.0000e-02 eta: 19:15:23 time: 0.8398 data_time: 0.0377 memory: 13619 grad_norm: 3.5097 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8419 loss: 1.8419 2022/08/01 00:26:51 - mmengine - INFO - Epoch(train) [8][320/940] lr: 1.0000e-02 eta: 19:14:46 time: 0.7143 data_time: 0.0397 memory: 13619 grad_norm: 3.5233 top1_acc: 0.3438 top5_acc: 0.7812 loss_cls: 1.8229 loss: 1.8229 2022/08/01 00:27:09 - mmengine - INFO - Epoch(train) [8][340/940] lr: 1.0000e-02 eta: 19:14:52 time: 0.8822 data_time: 0.0406 memory: 13619 grad_norm: 3.5776 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 2.0084 loss: 2.0084 2022/08/01 00:27:22 - mmengine - INFO - Epoch(train) [8][360/940] lr: 1.0000e-02 eta: 19:13:57 time: 0.6405 data_time: 0.0365 memory: 13619 grad_norm: 3.5550 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7321 loss: 1.7321 2022/08/01 00:27:39 - mmengine - INFO - Epoch(train) [8][380/940] lr: 1.0000e-02 eta: 19:13:55 time: 0.8504 data_time: 0.0383 memory: 13619 grad_norm: 3.5146 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7853 loss: 1.7853 2022/08/01 00:27:53 - mmengine - INFO - Epoch(train) [8][400/940] lr: 1.0000e-02 eta: 19:13:11 time: 0.6831 data_time: 0.0388 memory: 13619 grad_norm: 3.5695 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7681 loss: 1.7681 2022/08/01 00:28:09 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 00:28:09 - mmengine - INFO - Epoch(train) [8][420/940] lr: 1.0000e-02 eta: 19:13:00 time: 0.8138 data_time: 0.0376 memory: 13619 grad_norm: 3.5501 top1_acc: 0.3125 top5_acc: 0.7812 loss_cls: 1.8447 loss: 1.8447 2022/08/01 00:28:24 - mmengine - INFO - Epoch(train) [8][440/940] lr: 1.0000e-02 eta: 19:12:35 time: 0.7580 data_time: 0.0464 memory: 13619 grad_norm: 3.5881 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.7604 loss: 1.7604 2022/08/01 00:28:39 - mmengine - INFO - Epoch(train) [8][460/940] lr: 1.0000e-02 eta: 19:12:13 time: 0.7728 data_time: 0.0405 memory: 13619 grad_norm: 3.6013 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8611 loss: 1.8611 2022/08/01 00:28:55 - mmengine - INFO - Epoch(train) [8][480/940] lr: 1.0000e-02 eta: 19:11:57 time: 0.7935 data_time: 0.0311 memory: 13619 grad_norm: 3.6078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7868 loss: 1.7868 2022/08/01 00:29:11 - mmengine - INFO - Epoch(train) [8][500/940] lr: 1.0000e-02 eta: 19:11:40 time: 0.7900 data_time: 0.0373 memory: 13619 grad_norm: 3.6410 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7982 loss: 1.7982 2022/08/01 00:29:28 - mmengine - INFO - Epoch(train) [8][520/940] lr: 1.0000e-02 eta: 19:11:35 time: 0.8385 data_time: 0.0375 memory: 13619 grad_norm: 3.5314 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7367 loss: 1.7367 2022/08/01 00:29:42 - mmengine - INFO - Epoch(train) [8][540/940] lr: 1.0000e-02 eta: 19:10:53 time: 0.6910 data_time: 0.0418 memory: 13619 grad_norm: 3.6086 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.8171 loss: 1.8171 2022/08/01 00:29:59 - mmengine - INFO - Epoch(train) [8][560/940] lr: 1.0000e-02 eta: 19:10:54 time: 0.8616 data_time: 0.0372 memory: 13619 grad_norm: 3.6254 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.9392 loss: 1.9392 2022/08/01 00:30:12 - mmengine - INFO - Epoch(train) [8][580/940] lr: 1.0000e-02 eta: 19:10:05 time: 0.6606 data_time: 0.0380 memory: 13619 grad_norm: 3.5516 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.8327 loss: 1.8327 2022/08/01 00:30:29 - mmengine - INFO - Epoch(train) [8][600/940] lr: 1.0000e-02 eta: 19:10:07 time: 0.8666 data_time: 0.0402 memory: 13619 grad_norm: 3.6664 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7951 loss: 1.7951 2022/08/01 00:30:43 - mmengine - INFO - Epoch(train) [8][620/940] lr: 1.0000e-02 eta: 19:09:26 time: 0.6901 data_time: 0.0337 memory: 13619 grad_norm: 3.5649 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7452 loss: 1.7452 2022/08/01 00:31:00 - mmengine - INFO - Epoch(train) [8][640/940] lr: 1.0000e-02 eta: 19:09:20 time: 0.8370 data_time: 0.0464 memory: 13619 grad_norm: 3.5726 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.8717 loss: 1.8717 2022/08/01 00:31:13 - mmengine - INFO - Epoch(train) [8][660/940] lr: 1.0000e-02 eta: 19:08:31 time: 0.6586 data_time: 0.0537 memory: 13619 grad_norm: 3.6176 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7997 loss: 1.7997 2022/08/01 00:31:31 - mmengine - INFO - Epoch(train) [8][680/940] lr: 1.0000e-02 eta: 19:08:36 time: 0.8822 data_time: 0.0423 memory: 13619 grad_norm: 3.5942 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8478 loss: 1.8478 2022/08/01 00:31:44 - mmengine - INFO - Epoch(train) [8][700/940] lr: 1.0000e-02 eta: 19:07:48 time: 0.6567 data_time: 0.0417 memory: 13619 grad_norm: 3.6605 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8793 loss: 1.8793 2022/08/01 00:32:01 - mmengine - INFO - Epoch(train) [8][720/940] lr: 1.0000e-02 eta: 19:07:47 time: 0.8578 data_time: 0.0389 memory: 13619 grad_norm: 3.5466 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.7438 loss: 1.7438 2022/08/01 00:32:15 - mmengine - INFO - Epoch(train) [8][740/940] lr: 1.0000e-02 eta: 19:07:05 time: 0.6835 data_time: 0.0368 memory: 13619 grad_norm: 3.5879 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8413 loss: 1.8413 2022/08/01 00:32:33 - mmengine - INFO - Epoch(train) [8][760/940] lr: 1.0000e-02 eta: 19:07:16 time: 0.9066 data_time: 0.0469 memory: 13619 grad_norm: 3.5071 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7219 loss: 1.7219 2022/08/01 00:32:46 - mmengine - INFO - Epoch(train) [8][780/940] lr: 1.0000e-02 eta: 19:06:22 time: 0.6332 data_time: 0.0394 memory: 13619 grad_norm: 3.5862 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.9129 loss: 1.9129 2022/08/01 00:33:03 - mmengine - INFO - Epoch(train) [8][800/940] lr: 1.0000e-02 eta: 19:06:19 time: 0.8507 data_time: 0.0382 memory: 13619 grad_norm: 3.5660 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7507 loss: 1.7507 2022/08/01 00:33:17 - mmengine - INFO - Epoch(train) [8][820/940] lr: 1.0000e-02 eta: 19:05:42 time: 0.7039 data_time: 0.0426 memory: 13619 grad_norm: 3.5568 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.7107 loss: 1.7107 2022/08/01 00:33:33 - mmengine - INFO - Epoch(train) [8][840/940] lr: 1.0000e-02 eta: 19:05:27 time: 0.7967 data_time: 0.0388 memory: 13619 grad_norm: 3.5385 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7785 loss: 1.7785 2022/08/01 00:33:46 - mmengine - INFO - Epoch(train) [8][860/940] lr: 1.0000e-02 eta: 19:04:44 time: 0.6785 data_time: 0.0385 memory: 13619 grad_norm: 3.6150 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7593 loss: 1.7593 2022/08/01 00:34:04 - mmengine - INFO - Epoch(train) [8][880/940] lr: 1.0000e-02 eta: 19:04:45 time: 0.8651 data_time: 0.0371 memory: 13619 grad_norm: 3.7163 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6967 loss: 1.6967 2022/08/01 00:34:18 - mmengine - INFO - Epoch(train) [8][900/940] lr: 1.0000e-02 eta: 19:04:14 time: 0.7260 data_time: 0.0401 memory: 13619 grad_norm: 3.6013 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6717 loss: 1.6717 2022/08/01 00:34:34 - mmengine - INFO - Epoch(train) [8][920/940] lr: 1.0000e-02 eta: 19:04:04 time: 0.8222 data_time: 0.0380 memory: 13619 grad_norm: 3.6328 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8235 loss: 1.8235 2022/08/01 00:34:46 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 00:34:46 - mmengine - INFO - Epoch(train) [8][940/940] lr: 1.0000e-02 eta: 19:03:01 time: 0.5870 data_time: 0.0248 memory: 13619 grad_norm: 3.8157 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6805 loss: 1.6805 2022/08/01 00:35:03 - mmengine - INFO - Epoch(val) [8][20/78] eta: 0:00:49 time: 0.8588 data_time: 0.7526 memory: 2186 2022/08/01 00:35:15 - mmengine - INFO - Epoch(val) [8][40/78] eta: 0:00:22 time: 0.5980 data_time: 0.5033 memory: 2186 2022/08/01 00:35:32 - mmengine - INFO - Epoch(val) [8][60/78] eta: 0:00:14 time: 0.8318 data_time: 0.7365 memory: 2186 2022/08/01 00:35:46 - mmengine - INFO - Epoch(val) [8][78/78] acc/top1: 0.6266 acc/top5: 0.8496 acc/mean1: 0.6265 2022/08/01 00:35:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/08/01 00:35:47 - mmengine - INFO - The best checkpoint with 0.6266 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/01 00:36:07 - mmengine - INFO - Epoch(train) [9][20/940] lr: 1.0000e-02 eta: 19:03:29 time: 0.9827 data_time: 0.6892 memory: 13619 grad_norm: 3.5875 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.8140 loss: 1.8140 2022/08/01 00:36:21 - mmengine - INFO - Epoch(train) [9][40/940] lr: 1.0000e-02 eta: 19:02:51 time: 0.6975 data_time: 0.3899 memory: 13619 grad_norm: 3.5727 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.6308 loss: 1.6308 2022/08/01 00:36:39 - mmengine - INFO - Epoch(train) [9][60/940] lr: 1.0000e-02 eta: 19:03:00 time: 0.9045 data_time: 0.6089 memory: 13619 grad_norm: 3.5004 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7214 loss: 1.7214 2022/08/01 00:36:51 - mmengine - INFO - Epoch(train) [9][80/940] lr: 1.0000e-02 eta: 19:02:06 time: 0.6240 data_time: 0.3124 memory: 13619 grad_norm: 3.5376 top1_acc: 0.3750 top5_acc: 0.8438 loss_cls: 1.6532 loss: 1.6532 2022/08/01 00:37:08 - mmengine - INFO - Epoch(train) [9][100/940] lr: 1.0000e-02 eta: 19:01:59 time: 0.8340 data_time: 0.4896 memory: 13619 grad_norm: 3.5295 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7989 loss: 1.7989 2022/08/01 00:37:22 - mmengine - INFO - Epoch(train) [9][120/940] lr: 1.0000e-02 eta: 19:01:18 time: 0.6825 data_time: 0.2546 memory: 13619 grad_norm: 3.5581 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.6335 loss: 1.6335 2022/08/01 00:37:40 - mmengine - INFO - Epoch(train) [9][140/940] lr: 1.0000e-02 eta: 19:01:30 time: 0.9158 data_time: 0.2921 memory: 13619 grad_norm: 3.6066 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.7646 loss: 1.7646 2022/08/01 00:37:54 - mmengine - INFO - Epoch(train) [9][160/940] lr: 1.0000e-02 eta: 19:00:55 time: 0.7095 data_time: 0.1312 memory: 13619 grad_norm: 3.6835 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7722 loss: 1.7722 2022/08/01 00:38:11 - mmengine - INFO - Epoch(train) [9][180/940] lr: 1.0000e-02 eta: 19:00:50 time: 0.8380 data_time: 0.0449 memory: 13619 grad_norm: 3.6486 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7650 loss: 1.7650 2022/08/01 00:38:25 - mmengine - INFO - Epoch(train) [9][200/940] lr: 1.0000e-02 eta: 19:00:19 time: 0.7257 data_time: 0.0336 memory: 13619 grad_norm: 3.5560 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7659 loss: 1.7659 2022/08/01 00:38:43 - mmengine - INFO - Epoch(train) [9][220/940] lr: 1.0000e-02 eta: 19:00:18 time: 0.8626 data_time: 0.0372 memory: 13619 grad_norm: 3.5861 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7077 loss: 1.7077 2022/08/01 00:38:57 - mmengine - INFO - Epoch(train) [9][240/940] lr: 1.0000e-02 eta: 18:59:43 time: 0.7041 data_time: 0.0330 memory: 13619 grad_norm: 3.6417 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.8258 loss: 1.8258 2022/08/01 00:39:14 - mmengine - INFO - Epoch(train) [9][260/940] lr: 1.0000e-02 eta: 18:59:44 time: 0.8701 data_time: 0.0374 memory: 13619 grad_norm: 3.6346 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.7454 loss: 1.7454 2022/08/01 00:39:27 - mmengine - INFO - Epoch(train) [9][280/940] lr: 1.0000e-02 eta: 18:58:53 time: 0.6343 data_time: 0.0396 memory: 13619 grad_norm: 3.6551 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.8565 loss: 1.8565 2022/08/01 00:39:44 - mmengine - INFO - Epoch(train) [9][300/940] lr: 1.0000e-02 eta: 18:58:50 time: 0.8506 data_time: 0.0383 memory: 13619 grad_norm: 3.6452 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6554 loss: 1.6554 2022/08/01 00:39:58 - mmengine - INFO - Epoch(train) [9][320/940] lr: 1.0000e-02 eta: 18:58:20 time: 0.7282 data_time: 0.0410 memory: 13619 grad_norm: 3.6132 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6910 loss: 1.6910 2022/08/01 00:40:15 - mmengine - INFO - Epoch(train) [9][340/940] lr: 1.0000e-02 eta: 18:58:17 time: 0.8542 data_time: 0.0457 memory: 13619 grad_norm: 3.6273 top1_acc: 0.5625 top5_acc: 0.9688 loss_cls: 1.5871 loss: 1.5871 2022/08/01 00:40:28 - mmengine - INFO - Epoch(train) [9][360/940] lr: 1.0000e-02 eta: 18:57:24 time: 0.6192 data_time: 0.0384 memory: 13619 grad_norm: 3.6051 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7231 loss: 1.7231 2022/08/01 00:40:45 - mmengine - INFO - Epoch(train) [9][380/940] lr: 1.0000e-02 eta: 18:57:16 time: 0.8317 data_time: 0.0384 memory: 13619 grad_norm: 3.6316 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6382 loss: 1.6382 2022/08/01 00:40:58 - mmengine - INFO - Epoch(train) [9][400/940] lr: 1.0000e-02 eta: 18:56:38 time: 0.6889 data_time: 0.0447 memory: 13619 grad_norm: 3.6077 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.7788 loss: 1.7788 2022/08/01 00:41:16 - mmengine - INFO - Epoch(train) [9][420/940] lr: 1.0000e-02 eta: 18:56:39 time: 0.8700 data_time: 0.0377 memory: 13619 grad_norm: 3.6181 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.6914 loss: 1.6914 2022/08/01 00:41:30 - mmengine - INFO - Epoch(train) [9][440/940] lr: 1.0000e-02 eta: 18:56:06 time: 0.7154 data_time: 0.0375 memory: 13619 grad_norm: 3.6277 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.7552 loss: 1.7552 2022/08/01 00:41:47 - mmengine - INFO - Epoch(train) [9][460/940] lr: 1.0000e-02 eta: 18:56:03 time: 0.8482 data_time: 0.0405 memory: 13619 grad_norm: 3.5916 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7624 loss: 1.7624 2022/08/01 00:42:01 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 00:42:01 - mmengine - INFO - Epoch(train) [9][480/940] lr: 1.0000e-02 eta: 18:55:25 time: 0.6923 data_time: 0.0363 memory: 13619 grad_norm: 3.6111 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.8230 loss: 1.8230 2022/08/01 00:42:17 - mmengine - INFO - Epoch(train) [9][500/940] lr: 1.0000e-02 eta: 18:55:18 time: 0.8313 data_time: 0.0454 memory: 13619 grad_norm: 3.5922 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.7793 loss: 1.7793 2022/08/01 00:42:31 - mmengine - INFO - Epoch(train) [9][520/940] lr: 1.0000e-02 eta: 18:54:40 time: 0.6879 data_time: 0.0549 memory: 13619 grad_norm: 3.5315 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7593 loss: 1.7593 2022/08/01 00:42:47 - mmengine - INFO - Epoch(train) [9][540/940] lr: 1.0000e-02 eta: 18:54:29 time: 0.8170 data_time: 0.0413 memory: 13619 grad_norm: 3.5568 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8446 loss: 1.8446 2022/08/01 00:43:01 - mmengine - INFO - Epoch(train) [9][560/940] lr: 1.0000e-02 eta: 18:53:53 time: 0.6985 data_time: 0.0382 memory: 13619 grad_norm: 3.5423 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6627 loss: 1.6627 2022/08/01 00:43:19 - mmengine - INFO - Epoch(train) [9][580/940] lr: 1.0000e-02 eta: 18:53:54 time: 0.8713 data_time: 0.0418 memory: 13619 grad_norm: 3.6359 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6975 loss: 1.6975 2022/08/01 00:43:32 - mmengine - INFO - Epoch(train) [9][600/940] lr: 1.0000e-02 eta: 18:53:13 time: 0.6695 data_time: 0.0383 memory: 13619 grad_norm: 3.5719 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.7120 loss: 1.7120 2022/08/01 00:43:50 - mmengine - INFO - Epoch(train) [9][620/940] lr: 1.0000e-02 eta: 18:53:17 time: 0.8896 data_time: 0.0345 memory: 13619 grad_norm: 3.6339 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7024 loss: 1.7024 2022/08/01 00:44:04 - mmengine - INFO - Epoch(train) [9][640/940] lr: 1.0000e-02 eta: 18:52:38 time: 0.6806 data_time: 0.0367 memory: 13619 grad_norm: 3.4782 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7676 loss: 1.7676 2022/08/01 00:44:20 - mmengine - INFO - Epoch(train) [9][660/940] lr: 1.0000e-02 eta: 18:52:30 time: 0.8277 data_time: 0.0363 memory: 13619 grad_norm: 3.6537 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.7799 loss: 1.7799 2022/08/01 00:44:34 - mmengine - INFO - Epoch(train) [9][680/940] lr: 1.0000e-02 eta: 18:51:52 time: 0.6883 data_time: 0.0357 memory: 13619 grad_norm: 3.7055 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6148 loss: 1.6148 2022/08/01 00:44:51 - mmengine - INFO - Epoch(train) [9][700/940] lr: 1.0000e-02 eta: 18:51:49 time: 0.8522 data_time: 0.0381 memory: 13619 grad_norm: 3.6765 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7887 loss: 1.7887 2022/08/01 00:45:04 - mmengine - INFO - Epoch(train) [9][720/940] lr: 1.0000e-02 eta: 18:51:03 time: 0.6457 data_time: 0.0425 memory: 13619 grad_norm: 3.5921 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6871 loss: 1.6871 2022/08/01 00:45:21 - mmengine - INFO - Epoch(train) [9][740/940] lr: 1.0000e-02 eta: 18:50:58 time: 0.8413 data_time: 0.0401 memory: 13619 grad_norm: 3.6040 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.7022 loss: 1.7022 2022/08/01 00:45:35 - mmengine - INFO - Epoch(train) [9][760/940] lr: 1.0000e-02 eta: 18:50:27 time: 0.7193 data_time: 0.0373 memory: 13619 grad_norm: 3.6981 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8208 loss: 1.8208 2022/08/01 00:45:53 - mmengine - INFO - Epoch(train) [9][780/940] lr: 1.0000e-02 eta: 18:50:27 time: 0.8692 data_time: 0.0353 memory: 13619 grad_norm: 3.6825 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6508 loss: 1.6508 2022/08/01 00:46:06 - mmengine - INFO - Epoch(train) [9][800/940] lr: 1.0000e-02 eta: 18:49:42 time: 0.6499 data_time: 0.0432 memory: 13619 grad_norm: 3.6549 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7889 loss: 1.7889 2022/08/01 00:46:24 - mmengine - INFO - Epoch(train) [9][820/940] lr: 1.0000e-02 eta: 18:49:49 time: 0.9029 data_time: 0.0338 memory: 13619 grad_norm: 3.5925 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7871 loss: 1.7871 2022/08/01 00:46:38 - mmengine - INFO - Epoch(train) [9][840/940] lr: 1.0000e-02 eta: 18:49:18 time: 0.7179 data_time: 0.1331 memory: 13619 grad_norm: 3.5871 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.6979 loss: 1.6979 2022/08/01 00:46:54 - mmengine - INFO - Epoch(train) [9][860/940] lr: 1.0000e-02 eta: 18:49:01 time: 0.7854 data_time: 0.1970 memory: 13619 grad_norm: 3.5911 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6384 loss: 1.6384 2022/08/01 00:47:09 - mmengine - INFO - Epoch(train) [9][880/940] lr: 1.0000e-02 eta: 18:48:42 time: 0.7719 data_time: 0.3982 memory: 13619 grad_norm: 3.6487 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9040 loss: 1.9040 2022/08/01 00:47:24 - mmengine - INFO - Epoch(train) [9][900/940] lr: 1.0000e-02 eta: 18:48:16 time: 0.7421 data_time: 0.2224 memory: 13619 grad_norm: 3.6927 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.7902 loss: 1.7902 2022/08/01 00:47:40 - mmengine - INFO - Epoch(train) [9][920/940] lr: 1.0000e-02 eta: 18:48:06 time: 0.8184 data_time: 0.3267 memory: 13619 grad_norm: 3.6401 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7143 loss: 1.7143 2022/08/01 00:47:52 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 00:47:52 - mmengine - INFO - Epoch(train) [9][940/940] lr: 1.0000e-02 eta: 18:47:12 time: 0.6046 data_time: 0.2751 memory: 13619 grad_norm: 3.8617 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8291 loss: 1.8291 2022/08/01 00:47:52 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/01 00:48:12 - mmengine - INFO - Epoch(val) [9][20/78] eta: 0:00:50 time: 0.8680 data_time: 0.7756 memory: 2186 2022/08/01 00:48:25 - mmengine - INFO - Epoch(val) [9][40/78] eta: 0:00:24 time: 0.6498 data_time: 0.5577 memory: 2186 2022/08/01 00:48:41 - mmengine - INFO - Epoch(val) [9][60/78] eta: 0:00:14 time: 0.7868 data_time: 0.6932 memory: 2186 2022/08/01 00:48:53 - mmengine - INFO - Epoch(val) [9][78/78] acc/top1: 0.6355 acc/top5: 0.8565 acc/mean1: 0.6354 2022/08/01 00:48:53 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/01 00:48:56 - mmengine - INFO - The best checkpoint with 0.6355 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/08/01 00:49:14 - mmengine - INFO - Epoch(train) [10][20/940] lr: 1.0000e-02 eta: 18:47:24 time: 0.9264 data_time: 0.6390 memory: 13619 grad_norm: 3.6004 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.6750 loss: 1.6750 2022/08/01 00:49:28 - mmengine - INFO - Epoch(train) [10][40/940] lr: 1.0000e-02 eta: 18:46:45 time: 0.6795 data_time: 0.3775 memory: 13619 grad_norm: 3.5279 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5986 loss: 1.5986 2022/08/01 00:49:45 - mmengine - INFO - Epoch(train) [10][60/940] lr: 1.0000e-02 eta: 18:46:45 time: 0.8686 data_time: 0.5575 memory: 13619 grad_norm: 3.4792 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6116 loss: 1.6116 2022/08/01 00:49:59 - mmengine - INFO - Epoch(train) [10][80/940] lr: 1.0000e-02 eta: 18:46:12 time: 0.7032 data_time: 0.4201 memory: 13619 grad_norm: 3.5854 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7289 loss: 1.7289 2022/08/01 00:50:16 - mmengine - INFO - Epoch(train) [10][100/940] lr: 1.0000e-02 eta: 18:46:07 time: 0.8454 data_time: 0.5524 memory: 13619 grad_norm: 3.5944 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8275 loss: 1.8275 2022/08/01 00:50:30 - mmengine - INFO - Epoch(train) [10][120/940] lr: 1.0000e-02 eta: 18:45:34 time: 0.7028 data_time: 0.3905 memory: 13619 grad_norm: 3.6033 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.5998 loss: 1.5998 2022/08/01 00:50:48 - mmengine - INFO - Epoch(train) [10][140/940] lr: 1.0000e-02 eta: 18:45:34 time: 0.8725 data_time: 0.5193 memory: 13619 grad_norm: 3.6439 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6811 loss: 1.6811 2022/08/01 00:51:02 - mmengine - INFO - Epoch(train) [10][160/940] lr: 1.0000e-02 eta: 18:45:01 time: 0.7054 data_time: 0.3968 memory: 13619 grad_norm: 3.6322 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8657 loss: 1.8657 2022/08/01 00:51:18 - mmengine - INFO - Epoch(train) [10][180/940] lr: 1.0000e-02 eta: 18:44:53 time: 0.8281 data_time: 0.4649 memory: 13619 grad_norm: 3.6766 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6214 loss: 1.6214 2022/08/01 00:51:31 - mmengine - INFO - Epoch(train) [10][200/940] lr: 1.0000e-02 eta: 18:44:11 time: 0.6604 data_time: 0.3470 memory: 13619 grad_norm: 3.5535 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6668 loss: 1.6668 2022/08/01 00:51:49 - mmengine - INFO - Epoch(train) [10][220/940] lr: 1.0000e-02 eta: 18:44:12 time: 0.8726 data_time: 0.5515 memory: 13619 grad_norm: 3.5830 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6223 loss: 1.6223 2022/08/01 00:52:03 - mmengine - INFO - Epoch(train) [10][240/940] lr: 1.0000e-02 eta: 18:43:38 time: 0.6984 data_time: 0.3337 memory: 13619 grad_norm: 3.6314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7664 loss: 1.7664 2022/08/01 00:52:20 - mmengine - INFO - Epoch(train) [10][260/940] lr: 1.0000e-02 eta: 18:43:38 time: 0.8731 data_time: 0.3342 memory: 13619 grad_norm: 3.6227 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7701 loss: 1.7701 2022/08/01 00:52:34 - mmengine - INFO - Epoch(train) [10][280/940] lr: 1.0000e-02 eta: 18:43:06 time: 0.7071 data_time: 0.2507 memory: 13619 grad_norm: 3.5735 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6961 loss: 1.6961 2022/08/01 00:52:51 - mmengine - INFO - Epoch(train) [10][300/940] lr: 1.0000e-02 eta: 18:42:53 time: 0.8060 data_time: 0.3479 memory: 13619 grad_norm: 3.5523 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.6757 loss: 1.6757 2022/08/01 00:53:04 - mmengine - INFO - Epoch(train) [10][320/940] lr: 1.0000e-02 eta: 18:42:18 time: 0.6889 data_time: 0.1742 memory: 13619 grad_norm: 3.6315 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.7814 loss: 1.7814 2022/08/01 00:53:23 - mmengine - INFO - Epoch(train) [10][340/940] lr: 1.0000e-02 eta: 18:42:26 time: 0.9126 data_time: 0.2185 memory: 13619 grad_norm: 3.6991 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7987 loss: 1.7987 2022/08/01 00:53:35 - mmengine - INFO - Epoch(train) [10][360/940] lr: 1.0000e-02 eta: 18:41:35 time: 0.6124 data_time: 0.1271 memory: 13619 grad_norm: 3.6132 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.6234 loss: 1.6234 2022/08/01 00:53:51 - mmengine - INFO - Epoch(train) [10][380/940] lr: 1.0000e-02 eta: 18:41:27 time: 0.8277 data_time: 0.2792 memory: 13619 grad_norm: 3.6659 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.7370 loss: 1.7370 2022/08/01 00:54:05 - mmengine - INFO - Epoch(train) [10][400/940] lr: 1.0000e-02 eta: 18:40:55 time: 0.7051 data_time: 0.2568 memory: 13619 grad_norm: 3.6363 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7199 loss: 1.7199 2022/08/01 00:54:22 - mmengine - INFO - Epoch(train) [10][420/940] lr: 1.0000e-02 eta: 18:40:45 time: 0.8219 data_time: 0.2793 memory: 13619 grad_norm: 3.6423 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7703 loss: 1.7703 2022/08/01 00:54:37 - mmengine - INFO - Epoch(train) [10][440/940] lr: 1.0000e-02 eta: 18:40:24 time: 0.7603 data_time: 0.1312 memory: 13619 grad_norm: 3.6697 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6700 loss: 1.6700 2022/08/01 00:54:53 - mmengine - INFO - Epoch(train) [10][460/940] lr: 1.0000e-02 eta: 18:40:12 time: 0.8099 data_time: 0.1014 memory: 13619 grad_norm: 3.5686 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/01 00:55:07 - mmengine - INFO - Epoch(train) [10][480/940] lr: 1.0000e-02 eta: 18:39:37 time: 0.6929 data_time: 0.1497 memory: 13619 grad_norm: 3.6338 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6832 loss: 1.6832 2022/08/01 00:55:23 - mmengine - INFO - Epoch(train) [10][500/940] lr: 1.0000e-02 eta: 18:39:26 time: 0.8143 data_time: 0.3302 memory: 13619 grad_norm: 3.6023 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.7295 loss: 1.7295 2022/08/01 00:55:38 - mmengine - INFO - Epoch(train) [10][520/940] lr: 1.0000e-02 eta: 18:39:03 time: 0.7508 data_time: 0.2441 memory: 13619 grad_norm: 3.6122 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6513 loss: 1.6513 2022/08/01 00:55:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 00:55:55 - mmengine - INFO - Epoch(train) [10][540/940] lr: 1.0000e-02 eta: 18:38:51 time: 0.8113 data_time: 0.3668 memory: 13619 grad_norm: 3.6987 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.7643 loss: 1.7643 2022/08/01 00:56:09 - mmengine - INFO - Epoch(train) [10][560/940] lr: 1.0000e-02 eta: 18:38:17 time: 0.6898 data_time: 0.2802 memory: 13619 grad_norm: 3.5884 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.8300 loss: 1.8300 2022/08/01 00:56:25 - mmengine - INFO - Epoch(train) [10][580/940] lr: 1.0000e-02 eta: 18:38:04 time: 0.8077 data_time: 0.3775 memory: 13619 grad_norm: 3.6147 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6885 loss: 1.6885 2022/08/01 00:56:40 - mmengine - INFO - Epoch(train) [10][600/940] lr: 1.0000e-02 eta: 18:37:41 time: 0.7509 data_time: 0.1781 memory: 13619 grad_norm: 3.6508 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6890 loss: 1.6890 2022/08/01 00:56:57 - mmengine - INFO - Epoch(train) [10][620/940] lr: 1.0000e-02 eta: 18:37:36 time: 0.8459 data_time: 0.1773 memory: 13619 grad_norm: 3.6989 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.7984 loss: 1.7984 2022/08/01 00:57:11 - mmengine - INFO - Epoch(train) [10][640/940] lr: 1.0000e-02 eta: 18:37:09 time: 0.7298 data_time: 0.1614 memory: 13619 grad_norm: 3.5845 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.8583 loss: 1.8583 2022/08/01 00:57:27 - mmengine - INFO - Epoch(train) [10][660/940] lr: 1.0000e-02 eta: 18:36:54 time: 0.7932 data_time: 0.1754 memory: 13619 grad_norm: 3.7181 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6926 loss: 1.6926 2022/08/01 00:57:41 - mmengine - INFO - Epoch(train) [10][680/940] lr: 1.0000e-02 eta: 18:36:20 time: 0.6897 data_time: 0.1477 memory: 13619 grad_norm: 3.5765 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5911 loss: 1.5911 2022/08/01 00:57:58 - mmengine - INFO - Epoch(train) [10][700/940] lr: 1.0000e-02 eta: 18:36:16 time: 0.8556 data_time: 0.0443 memory: 13619 grad_norm: 3.5867 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6738 loss: 1.6738 2022/08/01 00:58:12 - mmengine - INFO - Epoch(train) [10][720/940] lr: 1.0000e-02 eta: 18:35:42 time: 0.6881 data_time: 0.0288 memory: 13619 grad_norm: 3.6801 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6637 loss: 1.6637 2022/08/01 00:58:29 - mmengine - INFO - Epoch(train) [10][740/940] lr: 1.0000e-02 eta: 18:35:37 time: 0.8495 data_time: 0.0369 memory: 13619 grad_norm: 3.7100 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.7701 loss: 1.7701 2022/08/01 00:58:43 - mmengine - INFO - Epoch(train) [10][760/940] lr: 1.0000e-02 eta: 18:35:05 time: 0.7030 data_time: 0.0491 memory: 13619 grad_norm: 3.6537 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6715 loss: 1.6715 2022/08/01 00:58:59 - mmengine - INFO - Epoch(train) [10][780/940] lr: 1.0000e-02 eta: 18:34:50 time: 0.7902 data_time: 0.0400 memory: 13619 grad_norm: 3.6350 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.6118 loss: 1.6118 2022/08/01 00:59:13 - mmengine - INFO - Epoch(train) [10][800/940] lr: 1.0000e-02 eta: 18:34:21 time: 0.7172 data_time: 0.0399 memory: 13619 grad_norm: 3.6317 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7204 loss: 1.7204 2022/08/01 00:59:30 - mmengine - INFO - Epoch(train) [10][820/940] lr: 1.0000e-02 eta: 18:34:13 time: 0.8342 data_time: 0.0482 memory: 13619 grad_norm: 3.6358 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.6610 loss: 1.6610 2022/08/01 00:59:43 - mmengine - INFO - Epoch(train) [10][840/940] lr: 1.0000e-02 eta: 18:33:39 time: 0.6895 data_time: 0.0374 memory: 13619 grad_norm: 3.5948 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6696 loss: 1.6696 2022/08/01 01:00:01 - mmengine - INFO - Epoch(train) [10][860/940] lr: 1.0000e-02 eta: 18:33:41 time: 0.8849 data_time: 0.0417 memory: 13619 grad_norm: 3.6631 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7220 loss: 1.7220 2022/08/01 01:00:15 - mmengine - INFO - Epoch(train) [10][880/940] lr: 1.0000e-02 eta: 18:33:05 time: 0.6799 data_time: 0.0429 memory: 13619 grad_norm: 3.6381 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7403 loss: 1.7403 2022/08/01 01:00:32 - mmengine - INFO - Epoch(train) [10][900/940] lr: 1.0000e-02 eta: 18:33:04 time: 0.8666 data_time: 0.0403 memory: 13619 grad_norm: 3.6651 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6324 loss: 1.6324 2022/08/01 01:00:45 - mmengine - INFO - Epoch(train) [10][920/940] lr: 1.0000e-02 eta: 18:32:20 time: 0.6363 data_time: 0.0427 memory: 13619 grad_norm: 3.6055 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7852 loss: 1.7852 2022/08/01 01:00:57 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 01:00:57 - mmengine - INFO - Epoch(train) [10][940/940] lr: 1.0000e-02 eta: 18:31:35 time: 0.6248 data_time: 0.0260 memory: 13619 grad_norm: 3.8792 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.7752 loss: 1.7752 2022/08/01 01:01:15 - mmengine - INFO - Epoch(val) [10][20/78] eta: 0:00:50 time: 0.8672 data_time: 0.7712 memory: 2186 2022/08/01 01:01:27 - mmengine - INFO - Epoch(val) [10][40/78] eta: 0:00:22 time: 0.5945 data_time: 0.5018 memory: 2186 2022/08/01 01:01:43 - mmengine - INFO - Epoch(val) [10][60/78] eta: 0:00:14 time: 0.8115 data_time: 0.7081 memory: 2186 2022/08/01 01:01:56 - mmengine - INFO - Epoch(val) [10][78/78] acc/top1: 0.6333 acc/top5: 0.8524 acc/mean1: 0.6332 2022/08/01 01:02:16 - mmengine - INFO - Epoch(train) [11][20/940] lr: 1.0000e-02 eta: 18:31:55 time: 0.9859 data_time: 0.4041 memory: 13619 grad_norm: 3.5862 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7304 loss: 1.7304 2022/08/01 01:02:29 - mmengine - INFO - Epoch(train) [11][40/940] lr: 1.0000e-02 eta: 18:31:12 time: 0.6389 data_time: 0.1593 memory: 13619 grad_norm: 3.5029 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.7052 loss: 1.7052 2022/08/01 01:02:47 - mmengine - INFO - Epoch(train) [11][60/940] lr: 1.0000e-02 eta: 18:31:15 time: 0.8908 data_time: 0.2995 memory: 13619 grad_norm: 3.5571 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7247 loss: 1.7247 2022/08/01 01:03:00 - mmengine - INFO - Epoch(train) [11][80/940] lr: 1.0000e-02 eta: 18:30:35 time: 0.6540 data_time: 0.2009 memory: 13619 grad_norm: 3.6787 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6850 loss: 1.6850 2022/08/01 01:03:17 - mmengine - INFO - Epoch(train) [11][100/940] lr: 1.0000e-02 eta: 18:30:34 time: 0.8745 data_time: 0.2305 memory: 13619 grad_norm: 3.6239 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6818 loss: 1.6818 2022/08/01 01:03:31 - mmengine - INFO - Epoch(train) [11][120/940] lr: 1.0000e-02 eta: 18:30:05 time: 0.7132 data_time: 0.0485 memory: 13619 grad_norm: 3.5801 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.7401 loss: 1.7401 2022/08/01 01:03:49 - mmengine - INFO - Epoch(train) [11][140/940] lr: 1.0000e-02 eta: 18:30:02 time: 0.8604 data_time: 0.0519 memory: 13619 grad_norm: 3.6030 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6579 loss: 1.6579 2022/08/01 01:04:02 - mmengine - INFO - Epoch(train) [11][160/940] lr: 1.0000e-02 eta: 18:29:21 time: 0.6450 data_time: 0.0347 memory: 13619 grad_norm: 3.6491 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7755 loss: 1.7755 2022/08/01 01:04:18 - mmengine - INFO - Epoch(train) [11][180/940] lr: 1.0000e-02 eta: 18:29:11 time: 0.8189 data_time: 0.1070 memory: 13619 grad_norm: 3.5459 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.7367 loss: 1.7367 2022/08/01 01:04:32 - mmengine - INFO - Epoch(train) [11][200/940] lr: 1.0000e-02 eta: 18:28:43 time: 0.7215 data_time: 0.0906 memory: 13619 grad_norm: 3.5891 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.7988 loss: 1.7988 2022/08/01 01:04:49 - mmengine - INFO - Epoch(train) [11][220/940] lr: 1.0000e-02 eta: 18:28:36 time: 0.8367 data_time: 0.0399 memory: 13619 grad_norm: 3.6204 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6567 loss: 1.6567 2022/08/01 01:05:03 - mmengine - INFO - Epoch(train) [11][240/940] lr: 1.0000e-02 eta: 18:28:04 time: 0.6981 data_time: 0.0939 memory: 13619 grad_norm: 3.6361 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.6831 loss: 1.6831 2022/08/01 01:05:19 - mmengine - INFO - Epoch(train) [11][260/940] lr: 1.0000e-02 eta: 18:27:47 time: 0.7797 data_time: 0.1001 memory: 13619 grad_norm: 3.6766 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7023 loss: 1.7023 2022/08/01 01:05:33 - mmengine - INFO - Epoch(train) [11][280/940] lr: 1.0000e-02 eta: 18:27:19 time: 0.7165 data_time: 0.1000 memory: 13619 grad_norm: 3.6504 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6756 loss: 1.6756 2022/08/01 01:05:50 - mmengine - INFO - Epoch(train) [11][300/940] lr: 1.0000e-02 eta: 18:27:11 time: 0.8346 data_time: 0.0750 memory: 13619 grad_norm: 3.7186 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.6833 loss: 1.6833 2022/08/01 01:06:05 - mmengine - INFO - Epoch(train) [11][320/940] lr: 1.0000e-02 eta: 18:26:49 time: 0.7505 data_time: 0.0334 memory: 13619 grad_norm: 3.6360 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.7100 loss: 1.7100 2022/08/01 01:06:22 - mmengine - INFO - Epoch(train) [11][340/940] lr: 1.0000e-02 eta: 18:26:46 time: 0.8631 data_time: 0.0394 memory: 13619 grad_norm: 3.6928 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7293 loss: 1.7293 2022/08/01 01:06:36 - mmengine - INFO - Epoch(train) [11][360/940] lr: 1.0000e-02 eta: 18:26:19 time: 0.7238 data_time: 0.0351 memory: 13619 grad_norm: 3.6932 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7129 loss: 1.7129 2022/08/01 01:06:53 - mmengine - INFO - Epoch(train) [11][380/940] lr: 1.0000e-02 eta: 18:26:11 time: 0.8324 data_time: 0.0356 memory: 13619 grad_norm: 3.6774 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6464 loss: 1.6464 2022/08/01 01:07:06 - mmengine - INFO - Epoch(train) [11][400/940] lr: 1.0000e-02 eta: 18:25:27 time: 0.6208 data_time: 0.0860 memory: 13619 grad_norm: 3.7045 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6193 loss: 1.6193 2022/08/01 01:07:22 - mmengine - INFO - Epoch(train) [11][420/940] lr: 1.0000e-02 eta: 18:25:19 time: 0.8364 data_time: 0.2098 memory: 13619 grad_norm: 3.6678 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7559 loss: 1.7559 2022/08/01 01:07:36 - mmengine - INFO - Epoch(train) [11][440/940] lr: 1.0000e-02 eta: 18:24:49 time: 0.7001 data_time: 0.2384 memory: 13619 grad_norm: 3.6742 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5435 loss: 1.5435 2022/08/01 01:07:53 - mmengine - INFO - Epoch(train) [11][460/940] lr: 1.0000e-02 eta: 18:24:45 time: 0.8603 data_time: 0.1409 memory: 13619 grad_norm: 3.6504 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7147 loss: 1.7147 2022/08/01 01:08:08 - mmengine - INFO - Epoch(train) [11][480/940] lr: 1.0000e-02 eta: 18:24:16 time: 0.7089 data_time: 0.2090 memory: 13619 grad_norm: 3.5900 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7184 loss: 1.7184 2022/08/01 01:08:24 - mmengine - INFO - Epoch(train) [11][500/940] lr: 1.0000e-02 eta: 18:24:04 time: 0.8080 data_time: 0.2394 memory: 13619 grad_norm: 3.7497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6265 loss: 1.6265 2022/08/01 01:08:38 - mmengine - INFO - Epoch(train) [11][520/940] lr: 1.0000e-02 eta: 18:23:31 time: 0.6894 data_time: 0.3440 memory: 13619 grad_norm: 3.6863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5943 loss: 1.5943 2022/08/01 01:08:56 - mmengine - INFO - Epoch(train) [11][540/940] lr: 1.0000e-02 eta: 18:23:36 time: 0.9053 data_time: 0.6131 memory: 13619 grad_norm: 3.6973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6829 loss: 1.6829 2022/08/01 01:09:09 - mmengine - INFO - Epoch(train) [11][560/940] lr: 1.0000e-02 eta: 18:22:56 time: 0.6446 data_time: 0.3541 memory: 13619 grad_norm: 3.6845 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.7055 loss: 1.7055 2022/08/01 01:09:26 - mmengine - INFO - Epoch(train) [11][580/940] lr: 1.0000e-02 eta: 18:22:52 time: 0.8595 data_time: 0.5336 memory: 13619 grad_norm: 3.6316 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5285 loss: 1.5285 2022/08/01 01:09:39 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 01:09:39 - mmengine - INFO - Epoch(train) [11][600/940] lr: 1.0000e-02 eta: 18:22:18 time: 0.6763 data_time: 0.3473 memory: 13619 grad_norm: 3.7044 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5042 loss: 1.5042 2022/08/01 01:09:57 - mmengine - INFO - Epoch(train) [11][620/940] lr: 1.0000e-02 eta: 18:22:18 time: 0.8818 data_time: 0.5756 memory: 13619 grad_norm: 3.7113 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.5875 loss: 1.5875 2022/08/01 01:10:11 - mmengine - INFO - Epoch(train) [11][640/940] lr: 1.0000e-02 eta: 18:21:45 time: 0.6873 data_time: 0.3821 memory: 13619 grad_norm: 3.6745 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6195 loss: 1.6195 2022/08/01 01:10:28 - mmengine - INFO - Epoch(train) [11][660/940] lr: 1.0000e-02 eta: 18:21:42 time: 0.8628 data_time: 0.5577 memory: 13619 grad_norm: 3.6258 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7484 loss: 1.7484 2022/08/01 01:10:41 - mmengine - INFO - Epoch(train) [11][680/940] lr: 1.0000e-02 eta: 18:21:04 time: 0.6562 data_time: 0.3517 memory: 13619 grad_norm: 3.6738 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7264 loss: 1.7264 2022/08/01 01:10:59 - mmengine - INFO - Epoch(train) [11][700/940] lr: 1.0000e-02 eta: 18:21:03 time: 0.8740 data_time: 0.5090 memory: 13619 grad_norm: 3.7168 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7446 loss: 1.7446 2022/08/01 01:11:12 - mmengine - INFO - Epoch(train) [11][720/940] lr: 1.0000e-02 eta: 18:20:29 time: 0.6782 data_time: 0.2434 memory: 13619 grad_norm: 3.7442 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.6702 loss: 1.6702 2022/08/01 01:11:29 - mmengine - INFO - Epoch(train) [11][740/940] lr: 1.0000e-02 eta: 18:20:27 time: 0.8675 data_time: 0.1835 memory: 13619 grad_norm: 3.7154 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8269 loss: 1.8269 2022/08/01 01:11:43 - mmengine - INFO - Epoch(train) [11][760/940] lr: 1.0000e-02 eta: 18:19:50 time: 0.6628 data_time: 0.0959 memory: 13619 grad_norm: 3.6870 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.6567 loss: 1.6567 2022/08/01 01:11:59 - mmengine - INFO - Epoch(train) [11][780/940] lr: 1.0000e-02 eta: 18:19:40 time: 0.8193 data_time: 0.2181 memory: 13619 grad_norm: 3.7629 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8664 loss: 1.8664 2022/08/01 01:12:12 - mmengine - INFO - Epoch(train) [11][800/940] lr: 1.0000e-02 eta: 18:19:04 time: 0.6653 data_time: 0.0544 memory: 13619 grad_norm: 3.6857 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6725 loss: 1.6725 2022/08/01 01:12:29 - mmengine - INFO - Epoch(train) [11][820/940] lr: 1.0000e-02 eta: 18:18:58 time: 0.8439 data_time: 0.1298 memory: 13619 grad_norm: 3.7820 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7660 loss: 1.7660 2022/08/01 01:12:43 - mmengine - INFO - Epoch(train) [11][840/940] lr: 1.0000e-02 eta: 18:18:26 time: 0.6917 data_time: 0.0779 memory: 13619 grad_norm: 3.7078 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6579 loss: 1.6579 2022/08/01 01:13:00 - mmengine - INFO - Epoch(train) [11][860/940] lr: 1.0000e-02 eta: 18:18:22 time: 0.8539 data_time: 0.1304 memory: 13619 grad_norm: 3.6637 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7294 loss: 1.7294 2022/08/01 01:13:15 - mmengine - INFO - Epoch(train) [11][880/940] lr: 1.0000e-02 eta: 18:17:55 time: 0.7186 data_time: 0.0506 memory: 13619 grad_norm: 3.5984 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.6409 loss: 1.6409 2022/08/01 01:13:32 - mmengine - INFO - Epoch(train) [11][900/940] lr: 1.0000e-02 eta: 18:17:50 time: 0.8540 data_time: 0.0538 memory: 13619 grad_norm: 3.6919 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.6046 loss: 1.6046 2022/08/01 01:13:46 - mmengine - INFO - Epoch(train) [11][920/940] lr: 1.0000e-02 eta: 18:17:26 time: 0.7332 data_time: 0.0312 memory: 13619 grad_norm: 3.6973 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7193 loss: 1.7193 2022/08/01 01:14:00 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 01:14:00 - mmengine - INFO - Epoch(train) [11][940/940] lr: 1.0000e-02 eta: 18:16:55 time: 0.6935 data_time: 0.0275 memory: 13619 grad_norm: 3.8189 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5867 loss: 1.5867 2022/08/01 01:14:18 - mmengine - INFO - Epoch(val) [11][20/78] eta: 0:00:51 time: 0.8935 data_time: 0.8007 memory: 2186 2022/08/01 01:14:30 - mmengine - INFO - Epoch(val) [11][40/78] eta: 0:00:21 time: 0.5693 data_time: 0.4670 memory: 2186 2022/08/01 01:14:46 - mmengine - INFO - Epoch(val) [11][60/78] eta: 0:00:14 time: 0.8133 data_time: 0.7185 memory: 2186 2022/08/01 01:14:59 - mmengine - INFO - Epoch(val) [11][78/78] acc/top1: 0.6475 acc/top5: 0.8611 acc/mean1: 0.6474 2022/08/01 01:14:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/08/01 01:15:01 - mmengine - INFO - The best checkpoint with 0.6475 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/08/01 01:15:20 - mmengine - INFO - Epoch(train) [12][20/940] lr: 1.0000e-02 eta: 18:17:09 time: 0.9725 data_time: 0.6781 memory: 13619 grad_norm: 3.5209 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5340 loss: 1.5340 2022/08/01 01:15:35 - mmengine - INFO - Epoch(train) [12][40/940] lr: 1.0000e-02 eta: 18:16:42 time: 0.7183 data_time: 0.4212 memory: 13619 grad_norm: 3.7109 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7745 loss: 1.7745 2022/08/01 01:15:51 - mmengine - INFO - Epoch(train) [12][60/940] lr: 1.0000e-02 eta: 18:16:31 time: 0.8173 data_time: 0.3939 memory: 13619 grad_norm: 3.6772 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.6770 loss: 1.6770 2022/08/01 01:16:05 - mmengine - INFO - Epoch(train) [12][80/940] lr: 1.0000e-02 eta: 18:15:58 time: 0.6800 data_time: 0.2531 memory: 13619 grad_norm: 3.6637 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.6017 loss: 1.6017 2022/08/01 01:16:20 - mmengine - INFO - Epoch(train) [12][100/940] lr: 1.0000e-02 eta: 18:15:40 time: 0.7716 data_time: 0.3716 memory: 13619 grad_norm: 3.6546 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6009 loss: 1.6009 2022/08/01 01:16:36 - mmengine - INFO - Epoch(train) [12][120/940] lr: 1.0000e-02 eta: 18:15:23 time: 0.7761 data_time: 0.3769 memory: 13619 grad_norm: 3.7174 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.7642 loss: 1.7642 2022/08/01 01:16:51 - mmengine - INFO - Epoch(train) [12][140/940] lr: 1.0000e-02 eta: 18:15:07 time: 0.7851 data_time: 0.1776 memory: 13619 grad_norm: 3.6889 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5581 loss: 1.5581 2022/08/01 01:17:06 - mmengine - INFO - Epoch(train) [12][160/940] lr: 1.0000e-02 eta: 18:14:40 time: 0.7195 data_time: 0.1767 memory: 13619 grad_norm: 3.6784 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6529 loss: 1.6529 2022/08/01 01:17:21 - mmengine - INFO - Epoch(train) [12][180/940] lr: 1.0000e-02 eta: 18:14:23 time: 0.7786 data_time: 0.1521 memory: 13619 grad_norm: 3.6562 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5428 loss: 1.5428 2022/08/01 01:17:36 - mmengine - INFO - Epoch(train) [12][200/940] lr: 1.0000e-02 eta: 18:14:03 time: 0.7553 data_time: 0.3468 memory: 13619 grad_norm: 3.6866 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6699 loss: 1.6699 2022/08/01 01:17:51 - mmengine - INFO - Epoch(train) [12][220/940] lr: 1.0000e-02 eta: 18:13:38 time: 0.7323 data_time: 0.2264 memory: 13619 grad_norm: 3.7047 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5507 loss: 1.5507 2022/08/01 01:18:07 - mmengine - INFO - Epoch(train) [12][240/940] lr: 1.0000e-02 eta: 18:13:23 time: 0.7868 data_time: 0.2512 memory: 13619 grad_norm: 3.7775 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5734 loss: 1.5734 2022/08/01 01:18:23 - mmengine - INFO - Epoch(train) [12][260/940] lr: 1.0000e-02 eta: 18:13:14 time: 0.8285 data_time: 0.0874 memory: 13619 grad_norm: 3.6339 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.5860 loss: 1.5860 2022/08/01 01:18:38 - mmengine - INFO - Epoch(train) [12][280/940] lr: 1.0000e-02 eta: 18:12:52 time: 0.7499 data_time: 0.0731 memory: 13619 grad_norm: 3.6858 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6258 loss: 1.6258 2022/08/01 01:18:53 - mmengine - INFO - Epoch(train) [12][300/940] lr: 1.0000e-02 eta: 18:12:29 time: 0.7385 data_time: 0.0679 memory: 13619 grad_norm: 3.7540 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6215 loss: 1.6215 2022/08/01 01:19:09 - mmengine - INFO - Epoch(train) [12][320/940] lr: 1.0000e-02 eta: 18:12:14 time: 0.7926 data_time: 0.0459 memory: 13619 grad_norm: 3.7028 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6491 loss: 1.6491 2022/08/01 01:19:26 - mmengine - INFO - Epoch(train) [12][340/940] lr: 1.0000e-02 eta: 18:12:05 time: 0.8288 data_time: 0.0306 memory: 13619 grad_norm: 3.6961 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.6632 loss: 1.6632 2022/08/01 01:19:39 - mmengine - INFO - Epoch(train) [12][360/940] lr: 1.0000e-02 eta: 18:11:32 time: 0.6724 data_time: 0.0430 memory: 13619 grad_norm: 3.6997 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7561 loss: 1.7561 2022/08/01 01:19:55 - mmengine - INFO - Epoch(train) [12][380/940] lr: 1.0000e-02 eta: 18:11:19 time: 0.8057 data_time: 0.0391 memory: 13619 grad_norm: 3.7800 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.8170 loss: 1.8170 2022/08/01 01:20:10 - mmengine - INFO - Epoch(train) [12][400/940] lr: 1.0000e-02 eta: 18:10:59 time: 0.7602 data_time: 0.0455 memory: 13619 grad_norm: 3.7537 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6655 loss: 1.6655 2022/08/01 01:20:26 - mmengine - INFO - Epoch(train) [12][420/940] lr: 1.0000e-02 eta: 18:10:41 time: 0.7723 data_time: 0.0381 memory: 13619 grad_norm: 3.6282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6273 loss: 1.6273 2022/08/01 01:20:42 - mmengine - INFO - Epoch(train) [12][440/940] lr: 1.0000e-02 eta: 18:10:28 time: 0.8023 data_time: 0.0317 memory: 13619 grad_norm: 3.6942 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.5163 loss: 1.5163 2022/08/01 01:20:56 - mmengine - INFO - Epoch(train) [12][460/940] lr: 1.0000e-02 eta: 18:10:01 time: 0.7127 data_time: 0.0421 memory: 13619 grad_norm: 3.7041 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5572 loss: 1.5572 2022/08/01 01:21:14 - mmengine - INFO - Epoch(train) [12][480/940] lr: 1.0000e-02 eta: 18:09:59 time: 0.8784 data_time: 0.0382 memory: 13619 grad_norm: 3.7283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6020 loss: 1.6020 2022/08/01 01:21:28 - mmengine - INFO - Epoch(train) [12][500/940] lr: 1.0000e-02 eta: 18:09:31 time: 0.7055 data_time: 0.0366 memory: 13619 grad_norm: 3.7291 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.6796 loss: 1.6796 2022/08/01 01:21:44 - mmengine - INFO - Epoch(train) [12][520/940] lr: 1.0000e-02 eta: 18:09:18 time: 0.8039 data_time: 0.0376 memory: 13619 grad_norm: 3.6726 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6240 loss: 1.6240 2022/08/01 01:21:57 - mmengine - INFO - Epoch(train) [12][540/940] lr: 1.0000e-02 eta: 18:08:41 time: 0.6419 data_time: 0.0372 memory: 13619 grad_norm: 3.6838 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6945 loss: 1.6945 2022/08/01 01:22:13 - mmengine - INFO - Epoch(train) [12][560/940] lr: 1.0000e-02 eta: 18:08:31 time: 0.8237 data_time: 0.0411 memory: 13619 grad_norm: 3.6588 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7152 loss: 1.7152 2022/08/01 01:22:28 - mmengine - INFO - Epoch(train) [12][580/940] lr: 1.0000e-02 eta: 18:08:04 time: 0.7166 data_time: 0.0410 memory: 13619 grad_norm: 3.7343 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5725 loss: 1.5725 2022/08/01 01:22:44 - mmengine - INFO - Epoch(train) [12][600/940] lr: 1.0000e-02 eta: 18:07:58 time: 0.8448 data_time: 0.0409 memory: 13619 grad_norm: 3.7248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6516 loss: 1.6516 2022/08/01 01:22:58 - mmengine - INFO - Epoch(train) [12][620/940] lr: 1.0000e-02 eta: 18:07:27 time: 0.6850 data_time: 0.0374 memory: 13619 grad_norm: 3.6962 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5771 loss: 1.5771 2022/08/01 01:23:16 - mmengine - INFO - Epoch(train) [12][640/940] lr: 1.0000e-02 eta: 18:07:29 time: 0.9083 data_time: 0.0363 memory: 13619 grad_norm: 3.6985 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5919 loss: 1.5919 2022/08/01 01:23:30 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 01:23:30 - mmengine - INFO - Epoch(train) [12][660/940] lr: 1.0000e-02 eta: 18:06:57 time: 0.6788 data_time: 0.0401 memory: 13619 grad_norm: 3.6611 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6739 loss: 1.6739 2022/08/01 01:23:47 - mmengine - INFO - Epoch(train) [12][680/940] lr: 1.0000e-02 eta: 18:06:54 time: 0.8684 data_time: 0.0385 memory: 13619 grad_norm: 3.6871 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6715 loss: 1.6715 2022/08/01 01:24:00 - mmengine - INFO - Epoch(train) [12][700/940] lr: 1.0000e-02 eta: 18:06:18 time: 0.6489 data_time: 0.0465 memory: 13619 grad_norm: 3.6767 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5555 loss: 1.5555 2022/08/01 01:24:17 - mmengine - INFO - Epoch(train) [12][720/940] lr: 1.0000e-02 eta: 18:06:07 time: 0.8198 data_time: 0.0328 memory: 13619 grad_norm: 3.7983 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7366 loss: 1.7366 2022/08/01 01:24:31 - mmengine - INFO - Epoch(train) [12][740/940] lr: 1.0000e-02 eta: 18:05:39 time: 0.7004 data_time: 0.0433 memory: 13619 grad_norm: 3.7218 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6389 loss: 1.6389 2022/08/01 01:24:48 - mmengine - INFO - Epoch(train) [12][760/940] lr: 1.0000e-02 eta: 18:05:33 time: 0.8485 data_time: 0.0305 memory: 13619 grad_norm: 3.6466 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6778 loss: 1.6778 2022/08/01 01:25:02 - mmengine - INFO - Epoch(train) [12][780/940] lr: 1.0000e-02 eta: 18:05:06 time: 0.7152 data_time: 0.0574 memory: 13619 grad_norm: 3.6439 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5269 loss: 1.5269 2022/08/01 01:25:20 - mmengine - INFO - Epoch(train) [12][800/940] lr: 1.0000e-02 eta: 18:05:08 time: 0.9003 data_time: 0.0298 memory: 13619 grad_norm: 3.7232 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.6328 loss: 1.6328 2022/08/01 01:25:33 - mmengine - INFO - Epoch(train) [12][820/940] lr: 1.0000e-02 eta: 18:04:33 time: 0.6552 data_time: 0.0469 memory: 13619 grad_norm: 3.6763 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6175 loss: 1.6175 2022/08/01 01:25:49 - mmengine - INFO - Epoch(train) [12][840/940] lr: 1.0000e-02 eta: 18:04:21 time: 0.8118 data_time: 0.0344 memory: 13619 grad_norm: 3.7591 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5934 loss: 1.5934 2022/08/01 01:26:03 - mmengine - INFO - Epoch(train) [12][860/940] lr: 1.0000e-02 eta: 18:03:52 time: 0.6997 data_time: 0.0396 memory: 13619 grad_norm: 3.6794 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5878 loss: 1.5878 2022/08/01 01:26:20 - mmengine - INFO - Epoch(train) [12][880/940] lr: 1.0000e-02 eta: 18:03:42 time: 0.8202 data_time: 0.0392 memory: 13619 grad_norm: 3.6524 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4876 loss: 1.4876 2022/08/01 01:26:34 - mmengine - INFO - Epoch(train) [12][900/940] lr: 1.0000e-02 eta: 18:03:13 time: 0.6957 data_time: 0.0386 memory: 13619 grad_norm: 3.6008 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6552 loss: 1.6552 2022/08/01 01:26:51 - mmengine - INFO - Epoch(train) [12][920/940] lr: 1.0000e-02 eta: 18:03:13 time: 0.8914 data_time: 0.0472 memory: 13619 grad_norm: 3.6242 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.6367 loss: 1.6367 2022/08/01 01:27:03 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 01:27:03 - mmengine - INFO - Epoch(train) [12][940/940] lr: 1.0000e-02 eta: 18:02:27 time: 0.5785 data_time: 0.0269 memory: 13619 grad_norm: 3.7789 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6517 loss: 1.6517 2022/08/01 01:27:03 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/01 01:27:22 - mmengine - INFO - Epoch(val) [12][20/78] eta: 0:00:50 time: 0.8766 data_time: 0.7861 memory: 2186 2022/08/01 01:27:34 - mmengine - INFO - Epoch(val) [12][40/78] eta: 0:00:22 time: 0.5961 data_time: 0.5065 memory: 2186 2022/08/01 01:27:51 - mmengine - INFO - Epoch(val) [12][60/78] eta: 0:00:15 time: 0.8354 data_time: 0.7453 memory: 2186 2022/08/01 01:28:03 - mmengine - INFO - Epoch(val) [12][78/78] acc/top1: 0.6473 acc/top5: 0.8619 acc/mean1: 0.6473 2022/08/01 01:28:23 - mmengine - INFO - Epoch(train) [13][20/940] lr: 1.0000e-02 eta: 18:02:45 time: 1.0192 data_time: 0.5091 memory: 13619 grad_norm: 3.6191 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4533 loss: 1.4533 2022/08/01 01:28:38 - mmengine - INFO - Epoch(train) [13][40/940] lr: 1.0000e-02 eta: 18:02:18 time: 0.7102 data_time: 0.1067 memory: 13619 grad_norm: 3.6942 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7067 loss: 1.7067 2022/08/01 01:28:55 - mmengine - INFO - Epoch(train) [13][60/940] lr: 1.0000e-02 eta: 18:02:17 time: 0.8856 data_time: 0.0962 memory: 13619 grad_norm: 3.6330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4497 loss: 1.4497 2022/08/01 01:29:09 - mmengine - INFO - Epoch(train) [13][80/940] lr: 1.0000e-02 eta: 18:01:45 time: 0.6725 data_time: 0.0287 memory: 13619 grad_norm: 3.6215 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6025 loss: 1.6025 2022/08/01 01:29:26 - mmengine - INFO - Epoch(train) [13][100/940] lr: 1.0000e-02 eta: 18:01:41 time: 0.8649 data_time: 0.0404 memory: 13619 grad_norm: 3.6535 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.5624 loss: 1.5624 2022/08/01 01:29:40 - mmengine - INFO - Epoch(train) [13][120/940] lr: 1.0000e-02 eta: 18:01:12 time: 0.6925 data_time: 0.0398 memory: 13619 grad_norm: 3.7260 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7471 loss: 1.7471 2022/08/01 01:29:57 - mmengine - INFO - Epoch(train) [13][140/940] lr: 1.0000e-02 eta: 18:01:03 time: 0.8315 data_time: 0.0371 memory: 13619 grad_norm: 3.8162 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6493 loss: 1.6493 2022/08/01 01:30:10 - mmengine - INFO - Epoch(train) [13][160/940] lr: 1.0000e-02 eta: 18:00:28 time: 0.6560 data_time: 0.0360 memory: 13619 grad_norm: 3.6675 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6386 loss: 1.6386 2022/08/01 01:30:28 - mmengine - INFO - Epoch(train) [13][180/940] lr: 1.0000e-02 eta: 18:00:29 time: 0.9000 data_time: 0.0465 memory: 13619 grad_norm: 3.7193 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7079 loss: 1.7079 2022/08/01 01:30:42 - mmengine - INFO - Epoch(train) [13][200/940] lr: 1.0000e-02 eta: 18:00:01 time: 0.6974 data_time: 0.0493 memory: 13619 grad_norm: 3.6524 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5615 loss: 1.5615 2022/08/01 01:30:59 - mmengine - INFO - Epoch(train) [13][220/940] lr: 1.0000e-02 eta: 17:59:55 time: 0.8517 data_time: 0.0345 memory: 13619 grad_norm: 3.7282 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5424 loss: 1.5424 2022/08/01 01:31:12 - mmengine - INFO - Epoch(train) [13][240/940] lr: 1.0000e-02 eta: 17:59:23 time: 0.6710 data_time: 0.0375 memory: 13619 grad_norm: 3.6891 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6638 loss: 1.6638 2022/08/01 01:31:28 - mmengine - INFO - Epoch(train) [13][260/940] lr: 1.0000e-02 eta: 17:59:11 time: 0.8148 data_time: 0.0378 memory: 13619 grad_norm: 3.6671 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4437 loss: 1.4437 2022/08/01 01:31:42 - mmengine - INFO - Epoch(train) [13][280/940] lr: 1.0000e-02 eta: 17:58:37 time: 0.6579 data_time: 0.0372 memory: 13619 grad_norm: 3.7443 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.7971 loss: 1.7971 2022/08/01 01:32:00 - mmengine - INFO - Epoch(train) [13][300/940] lr: 1.0000e-02 eta: 17:58:38 time: 0.8987 data_time: 0.0465 memory: 13619 grad_norm: 3.7130 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5208 loss: 1.5208 2022/08/01 01:32:12 - mmengine - INFO - Epoch(train) [13][320/940] lr: 1.0000e-02 eta: 17:57:59 time: 0.6207 data_time: 0.0346 memory: 13619 grad_norm: 3.6713 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5620 loss: 1.5620 2022/08/01 01:32:28 - mmengine - INFO - Epoch(train) [13][340/940] lr: 1.0000e-02 eta: 17:57:48 time: 0.8212 data_time: 0.0409 memory: 13619 grad_norm: 3.7442 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6754 loss: 1.6754 2022/08/01 01:32:42 - mmengine - INFO - Epoch(train) [13][360/940] lr: 1.0000e-02 eta: 17:57:18 time: 0.6826 data_time: 0.0312 memory: 13619 grad_norm: 3.7887 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5755 loss: 1.5755 2022/08/01 01:32:59 - mmengine - INFO - Epoch(train) [13][380/940] lr: 1.0000e-02 eta: 17:57:13 time: 0.8603 data_time: 0.0448 memory: 13619 grad_norm: 3.7085 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5134 loss: 1.5134 2022/08/01 01:33:14 - mmengine - INFO - Epoch(train) [13][400/940] lr: 1.0000e-02 eta: 17:56:50 time: 0.7337 data_time: 0.0394 memory: 13619 grad_norm: 3.7346 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5781 loss: 1.5781 2022/08/01 01:33:31 - mmengine - INFO - Epoch(train) [13][420/940] lr: 1.0000e-02 eta: 17:56:47 time: 0.8771 data_time: 0.0369 memory: 13619 grad_norm: 3.6653 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 1.5809 loss: 1.5809 2022/08/01 01:33:46 - mmengine - INFO - Epoch(train) [13][440/940] lr: 1.0000e-02 eta: 17:56:23 time: 0.7215 data_time: 0.0344 memory: 13619 grad_norm: 3.6965 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.7991 loss: 1.7991 2022/08/01 01:34:03 - mmengine - INFO - Epoch(train) [13][460/940] lr: 1.0000e-02 eta: 17:56:15 time: 0.8400 data_time: 0.0436 memory: 13619 grad_norm: 3.7516 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6846 loss: 1.6846 2022/08/01 01:34:17 - mmengine - INFO - Epoch(train) [13][480/940] lr: 1.0000e-02 eta: 17:55:48 time: 0.7089 data_time: 0.0354 memory: 13619 grad_norm: 3.6581 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6001 loss: 1.6001 2022/08/01 01:34:33 - mmengine - INFO - Epoch(train) [13][500/940] lr: 1.0000e-02 eta: 17:55:36 time: 0.8065 data_time: 0.0383 memory: 13619 grad_norm: 3.7692 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6426 loss: 1.6426 2022/08/01 01:34:47 - mmengine - INFO - Epoch(train) [13][520/940] lr: 1.0000e-02 eta: 17:55:08 time: 0.6965 data_time: 0.0390 memory: 13619 grad_norm: 3.7291 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.5899 loss: 1.5899 2022/08/01 01:35:04 - mmengine - INFO - Epoch(train) [13][540/940] lr: 1.0000e-02 eta: 17:54:58 time: 0.8308 data_time: 0.0509 memory: 13619 grad_norm: 3.7078 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6573 loss: 1.6573 2022/08/01 01:35:18 - mmengine - INFO - Epoch(train) [13][560/940] lr: 1.0000e-02 eta: 17:54:36 time: 0.7355 data_time: 0.0339 memory: 13619 grad_norm: 3.8040 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7111 loss: 1.7111 2022/08/01 01:35:35 - mmengine - INFO - Epoch(train) [13][580/940] lr: 1.0000e-02 eta: 17:54:26 time: 0.8303 data_time: 0.0386 memory: 13619 grad_norm: 3.6877 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.6536 loss: 1.6536 2022/08/01 01:35:49 - mmengine - INFO - Epoch(train) [13][600/940] lr: 1.0000e-02 eta: 17:53:58 time: 0.6918 data_time: 0.0352 memory: 13619 grad_norm: 3.7690 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6403 loss: 1.6403 2022/08/01 01:36:04 - mmengine - INFO - Epoch(train) [13][620/940] lr: 1.0000e-02 eta: 17:53:42 time: 0.7806 data_time: 0.0391 memory: 13619 grad_norm: 3.7121 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5669 loss: 1.5669 2022/08/01 01:36:18 - mmengine - INFO - Epoch(train) [13][640/940] lr: 1.0000e-02 eta: 17:53:12 time: 0.6876 data_time: 0.0406 memory: 13619 grad_norm: 3.7513 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5287 loss: 1.5287 2022/08/01 01:36:35 - mmengine - INFO - Epoch(train) [13][660/940] lr: 1.0000e-02 eta: 17:53:04 time: 0.8337 data_time: 0.0463 memory: 13619 grad_norm: 3.6629 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.5971 loss: 1.5971 2022/08/01 01:36:50 - mmengine - INFO - Epoch(train) [13][680/940] lr: 1.0000e-02 eta: 17:52:46 time: 0.7746 data_time: 0.0314 memory: 13619 grad_norm: 3.7801 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7040 loss: 1.7040 2022/08/01 01:37:04 - mmengine - INFO - Epoch(train) [13][700/940] lr: 1.0000e-02 eta: 17:52:20 time: 0.7067 data_time: 0.0571 memory: 13619 grad_norm: 3.7256 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4805 loss: 1.4805 2022/08/01 01:37:19 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 01:37:19 - mmengine - INFO - Epoch(train) [13][720/940] lr: 1.0000e-02 eta: 17:51:57 time: 0.7268 data_time: 0.0895 memory: 13619 grad_norm: 3.7649 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6172 loss: 1.6172 2022/08/01 01:37:35 - mmengine - INFO - Epoch(train) [13][740/940] lr: 1.0000e-02 eta: 17:51:45 time: 0.8135 data_time: 0.0650 memory: 13619 grad_norm: 3.7961 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6892 loss: 1.6892 2022/08/01 01:37:49 - mmengine - INFO - Epoch(train) [13][760/940] lr: 1.0000e-02 eta: 17:51:14 time: 0.6745 data_time: 0.0696 memory: 13619 grad_norm: 3.7297 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5729 loss: 1.5729 2022/08/01 01:38:06 - mmengine - INFO - Epoch(train) [13][780/940] lr: 1.0000e-02 eta: 17:51:07 time: 0.8432 data_time: 0.1662 memory: 13619 grad_norm: 3.7791 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4973 loss: 1.4973 2022/08/01 01:38:20 - mmengine - INFO - Epoch(train) [13][800/940] lr: 1.0000e-02 eta: 17:50:41 time: 0.7151 data_time: 0.1050 memory: 13619 grad_norm: 3.6954 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5764 loss: 1.5764 2022/08/01 01:38:37 - mmengine - INFO - Epoch(train) [13][820/940] lr: 1.0000e-02 eta: 17:50:36 time: 0.8605 data_time: 0.1946 memory: 13619 grad_norm: 3.6529 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.5616 loss: 1.5616 2022/08/01 01:38:50 - mmengine - INFO - Epoch(train) [13][840/940] lr: 1.0000e-02 eta: 17:50:05 time: 0.6666 data_time: 0.1619 memory: 13619 grad_norm: 3.7398 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6486 loss: 1.6486 2022/08/01 01:39:08 - mmengine - INFO - Epoch(train) [13][860/940] lr: 1.0000e-02 eta: 17:50:01 time: 0.8733 data_time: 0.3001 memory: 13619 grad_norm: 3.8080 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7486 loss: 1.7486 2022/08/01 01:39:22 - mmengine - INFO - Epoch(train) [13][880/940] lr: 1.0000e-02 eta: 17:49:33 time: 0.6955 data_time: 0.2662 memory: 13619 grad_norm: 3.7679 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.7064 loss: 1.7064 2022/08/01 01:39:40 - mmengine - INFO - Epoch(train) [13][900/940] lr: 1.0000e-02 eta: 17:49:36 time: 0.9247 data_time: 0.3935 memory: 13619 grad_norm: 3.7744 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.7365 loss: 1.7365 2022/08/01 01:39:53 - mmengine - INFO - Epoch(train) [13][920/940] lr: 1.0000e-02 eta: 17:49:04 time: 0.6591 data_time: 0.3241 memory: 13619 grad_norm: 3.6823 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6372 loss: 1.6372 2022/08/01 01:40:07 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 01:40:07 - mmengine - INFO - Epoch(train) [13][940/940] lr: 1.0000e-02 eta: 17:48:37 time: 0.7011 data_time: 0.4074 memory: 13619 grad_norm: 3.9538 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5883 loss: 1.5883 2022/08/01 01:40:25 - mmengine - INFO - Epoch(val) [13][20/78] eta: 0:00:49 time: 0.8590 data_time: 0.7639 memory: 2186 2022/08/01 01:40:37 - mmengine - INFO - Epoch(val) [13][40/78] eta: 0:00:23 time: 0.6080 data_time: 0.5122 memory: 2186 2022/08/01 01:40:53 - mmengine - INFO - Epoch(val) [13][60/78] eta: 0:00:14 time: 0.7896 data_time: 0.6959 memory: 2186 2022/08/01 01:41:07 - mmengine - INFO - Epoch(val) [13][78/78] acc/top1: 0.6277 acc/top5: 0.8428 acc/mean1: 0.6274 2022/08/01 01:41:26 - mmengine - INFO - Epoch(train) [14][20/940] lr: 1.0000e-02 eta: 17:48:44 time: 0.9561 data_time: 0.6394 memory: 13619 grad_norm: 3.6857 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.5330 loss: 1.5330 2022/08/01 01:41:40 - mmengine - INFO - Epoch(train) [14][40/940] lr: 1.0000e-02 eta: 17:48:16 time: 0.6896 data_time: 0.3082 memory: 13619 grad_norm: 3.6846 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6580 loss: 1.6580 2022/08/01 01:41:57 - mmengine - INFO - Epoch(train) [14][60/940] lr: 1.0000e-02 eta: 17:48:08 time: 0.8427 data_time: 0.3911 memory: 13619 grad_norm: 3.6964 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4686 loss: 1.4686 2022/08/01 01:42:10 - mmengine - INFO - Epoch(train) [14][80/940] lr: 1.0000e-02 eta: 17:47:36 time: 0.6577 data_time: 0.3096 memory: 13619 grad_norm: 3.6349 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4869 loss: 1.4869 2022/08/01 01:42:27 - mmengine - INFO - Epoch(train) [14][100/940] lr: 1.0000e-02 eta: 17:47:30 time: 0.8580 data_time: 0.3389 memory: 13619 grad_norm: 3.6942 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6117 loss: 1.6117 2022/08/01 01:42:41 - mmengine - INFO - Epoch(train) [14][120/940] lr: 1.0000e-02 eta: 17:47:02 time: 0.6943 data_time: 0.0978 memory: 13619 grad_norm: 3.7579 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7055 loss: 1.7055 2022/08/01 01:42:58 - mmengine - INFO - Epoch(train) [14][140/940] lr: 1.0000e-02 eta: 17:46:54 time: 0.8428 data_time: 0.1513 memory: 13619 grad_norm: 3.6466 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5456 loss: 1.5456 2022/08/01 01:43:11 - mmengine - INFO - Epoch(train) [14][160/940] lr: 1.0000e-02 eta: 17:46:22 time: 0.6590 data_time: 0.0814 memory: 13619 grad_norm: 3.6948 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6142 loss: 1.6142 2022/08/01 01:43:28 - mmengine - INFO - Epoch(train) [14][180/940] lr: 1.0000e-02 eta: 17:46:15 time: 0.8473 data_time: 0.0709 memory: 13619 grad_norm: 3.6687 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5980 loss: 1.5980 2022/08/01 01:43:41 - mmengine - INFO - Epoch(train) [14][200/940] lr: 1.0000e-02 eta: 17:45:44 time: 0.6722 data_time: 0.0621 memory: 13619 grad_norm: 3.8463 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6660 loss: 1.6660 2022/08/01 01:43:59 - mmengine - INFO - Epoch(train) [14][220/940] lr: 1.0000e-02 eta: 17:45:41 time: 0.8761 data_time: 0.1973 memory: 13619 grad_norm: 3.7249 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6367 loss: 1.6367 2022/08/01 01:44:12 - mmengine - INFO - Epoch(train) [14][240/940] lr: 1.0000e-02 eta: 17:45:12 time: 0.6808 data_time: 0.1149 memory: 13619 grad_norm: 3.6617 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5117 loss: 1.5117 2022/08/01 01:44:30 - mmengine - INFO - Epoch(train) [14][260/940] lr: 1.0000e-02 eta: 17:45:09 time: 0.8803 data_time: 0.0430 memory: 13619 grad_norm: 3.7604 top1_acc: 0.3750 top5_acc: 0.8438 loss_cls: 1.5385 loss: 1.5385 2022/08/01 01:44:44 - mmengine - INFO - Epoch(train) [14][280/940] lr: 1.0000e-02 eta: 17:44:43 time: 0.7072 data_time: 0.0291 memory: 13619 grad_norm: 3.6926 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4982 loss: 1.4982 2022/08/01 01:45:01 - mmengine - INFO - Epoch(train) [14][300/940] lr: 1.0000e-02 eta: 17:44:35 time: 0.8470 data_time: 0.0399 memory: 13619 grad_norm: 3.7075 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.7115 loss: 1.7115 2022/08/01 01:45:15 - mmengine - INFO - Epoch(train) [14][320/940] lr: 1.0000e-02 eta: 17:44:11 time: 0.7134 data_time: 0.0802 memory: 13619 grad_norm: 3.7434 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5289 loss: 1.5289 2022/08/01 01:45:33 - mmengine - INFO - Epoch(train) [14][340/940] lr: 1.0000e-02 eta: 17:44:08 time: 0.8814 data_time: 0.0364 memory: 13619 grad_norm: 3.7452 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5546 loss: 1.5546 2022/08/01 01:45:47 - mmengine - INFO - Epoch(train) [14][360/940] lr: 1.0000e-02 eta: 17:43:39 time: 0.6827 data_time: 0.0391 memory: 13619 grad_norm: 3.6746 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4824 loss: 1.4824 2022/08/01 01:46:02 - mmengine - INFO - Epoch(train) [14][380/940] lr: 1.0000e-02 eta: 17:43:21 time: 0.7679 data_time: 0.0460 memory: 13619 grad_norm: 3.7926 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4638 loss: 1.4638 2022/08/01 01:46:16 - mmengine - INFO - Epoch(train) [14][400/940] lr: 1.0000e-02 eta: 17:42:54 time: 0.6975 data_time: 0.1103 memory: 13619 grad_norm: 3.7287 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.5459 loss: 1.5459 2022/08/01 01:46:33 - mmengine - INFO - Epoch(train) [14][420/940] lr: 1.0000e-02 eta: 17:42:45 time: 0.8343 data_time: 0.0417 memory: 13619 grad_norm: 3.7596 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.6554 loss: 1.6554 2022/08/01 01:46:46 - mmengine - INFO - Epoch(train) [14][440/940] lr: 1.0000e-02 eta: 17:42:17 time: 0.6886 data_time: 0.0333 memory: 13619 grad_norm: 3.7727 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6753 loss: 1.6753 2022/08/01 01:47:03 - mmengine - INFO - Epoch(train) [14][460/940] lr: 1.0000e-02 eta: 17:42:06 time: 0.8158 data_time: 0.1016 memory: 13619 grad_norm: 3.7563 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5597 loss: 1.5597 2022/08/01 01:47:16 - mmengine - INFO - Epoch(train) [14][480/940] lr: 1.0000e-02 eta: 17:41:36 time: 0.6734 data_time: 0.1517 memory: 13619 grad_norm: 3.7873 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5664 loss: 1.5664 2022/08/01 01:47:34 - mmengine - INFO - Epoch(train) [14][500/940] lr: 1.0000e-02 eta: 17:41:32 time: 0.8744 data_time: 0.0871 memory: 13619 grad_norm: 3.7621 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5969 loss: 1.5969 2022/08/01 01:47:50 - mmengine - INFO - Epoch(train) [14][520/940] lr: 1.0000e-02 eta: 17:41:21 time: 0.8241 data_time: 0.0323 memory: 13619 grad_norm: 3.7697 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5510 loss: 1.5510 2022/08/01 01:48:05 - mmengine - INFO - Epoch(train) [14][540/940] lr: 1.0000e-02 eta: 17:40:59 time: 0.7315 data_time: 0.0407 memory: 13619 grad_norm: 3.8532 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5858 loss: 1.5858 2022/08/01 01:48:20 - mmengine - INFO - Epoch(train) [14][560/940] lr: 1.0000e-02 eta: 17:40:40 time: 0.7586 data_time: 0.0401 memory: 13619 grad_norm: 3.7171 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.7385 loss: 1.7385 2022/08/01 01:48:34 - mmengine - INFO - Epoch(train) [14][580/940] lr: 1.0000e-02 eta: 17:40:16 time: 0.7196 data_time: 0.0396 memory: 13619 grad_norm: 3.8091 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5503 loss: 1.5503 2022/08/01 01:48:50 - mmengine - INFO - Epoch(train) [14][600/940] lr: 1.0000e-02 eta: 17:40:01 time: 0.7818 data_time: 0.0366 memory: 13619 grad_norm: 3.7635 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6843 loss: 1.6843 2022/08/01 01:49:05 - mmengine - INFO - Epoch(train) [14][620/940] lr: 1.0000e-02 eta: 17:39:40 time: 0.7458 data_time: 0.0356 memory: 13619 grad_norm: 3.8040 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/08/01 01:49:21 - mmengine - INFO - Epoch(train) [14][640/940] lr: 1.0000e-02 eta: 17:39:26 time: 0.7932 data_time: 0.0375 memory: 13619 grad_norm: 3.8070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6006 loss: 1.6006 2022/08/01 01:49:36 - mmengine - INFO - Epoch(train) [14][660/940] lr: 1.0000e-02 eta: 17:39:09 time: 0.7743 data_time: 0.0490 memory: 13619 grad_norm: 3.7582 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5224 loss: 1.5224 2022/08/01 01:49:51 - mmengine - INFO - Epoch(train) [14][680/940] lr: 1.0000e-02 eta: 17:38:47 time: 0.7336 data_time: 0.0410 memory: 13619 grad_norm: 3.7282 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6424 loss: 1.6424 2022/08/01 01:50:07 - mmengine - INFO - Epoch(train) [14][700/940] lr: 1.0000e-02 eta: 17:38:34 time: 0.8064 data_time: 0.0339 memory: 13619 grad_norm: 3.7595 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5936 loss: 1.5936 2022/08/01 01:50:21 - mmengine - INFO - Epoch(train) [14][720/940] lr: 1.0000e-02 eta: 17:38:06 time: 0.6873 data_time: 0.0879 memory: 13619 grad_norm: 3.7782 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6031 loss: 1.6031 2022/08/01 01:50:37 - mmengine - INFO - Epoch(train) [14][740/940] lr: 1.0000e-02 eta: 17:37:52 time: 0.7949 data_time: 0.1519 memory: 13619 grad_norm: 3.8406 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.6414 loss: 1.6414 2022/08/01 01:50:52 - mmengine - INFO - Epoch(train) [14][760/940] lr: 1.0000e-02 eta: 17:37:36 time: 0.7767 data_time: 0.2201 memory: 13619 grad_norm: 3.7178 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5975 loss: 1.5975 2022/08/01 01:51:08 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 01:51:08 - mmengine - INFO - Epoch(train) [14][780/940] lr: 1.0000e-02 eta: 17:37:18 time: 0.7656 data_time: 0.0676 memory: 13619 grad_norm: 3.7558 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5877 loss: 1.5877 2022/08/01 01:51:23 - mmengine - INFO - Epoch(train) [14][800/940] lr: 1.0000e-02 eta: 17:37:03 time: 0.7861 data_time: 0.0416 memory: 13619 grad_norm: 3.7723 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5793 loss: 1.5793 2022/08/01 01:51:38 - mmengine - INFO - Epoch(train) [14][820/940] lr: 1.0000e-02 eta: 17:36:40 time: 0.7305 data_time: 0.0385 memory: 13619 grad_norm: 3.7600 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5422 loss: 1.5422 2022/08/01 01:51:53 - mmengine - INFO - Epoch(train) [14][840/940] lr: 1.0000e-02 eta: 17:36:21 time: 0.7508 data_time: 0.0396 memory: 13619 grad_norm: 3.7529 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5808 loss: 1.5808 2022/08/01 01:52:09 - mmengine - INFO - Epoch(train) [14][860/940] lr: 1.0000e-02 eta: 17:36:09 time: 0.8176 data_time: 0.0364 memory: 13619 grad_norm: 3.7432 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4892 loss: 1.4892 2022/08/01 01:52:24 - mmengine - INFO - Epoch(train) [14][880/940] lr: 1.0000e-02 eta: 17:35:45 time: 0.7162 data_time: 0.0395 memory: 13619 grad_norm: 3.7586 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5380 loss: 1.5380 2022/08/01 01:52:39 - mmengine - INFO - Epoch(train) [14][900/940] lr: 1.0000e-02 eta: 17:35:31 time: 0.7901 data_time: 0.0414 memory: 13619 grad_norm: 3.7920 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5957 loss: 1.5957 2022/08/01 01:52:54 - mmengine - INFO - Epoch(train) [14][920/940] lr: 1.0000e-02 eta: 17:35:10 time: 0.7388 data_time: 0.0316 memory: 13619 grad_norm: 3.7055 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5731 loss: 1.5731 2022/08/01 01:53:08 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 01:53:08 - mmengine - INFO - Epoch(train) [14][940/940] lr: 1.0000e-02 eta: 17:34:45 time: 0.7074 data_time: 0.0260 memory: 13619 grad_norm: 3.9596 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.6409 loss: 1.6409 2022/08/01 01:53:26 - mmengine - INFO - Epoch(val) [14][20/78] eta: 0:00:50 time: 0.8752 data_time: 0.7691 memory: 2186 2022/08/01 01:53:38 - mmengine - INFO - Epoch(val) [14][40/78] eta: 0:00:23 time: 0.6177 data_time: 0.5259 memory: 2186 2022/08/01 01:53:54 - mmengine - INFO - Epoch(val) [14][60/78] eta: 0:00:14 time: 0.8065 data_time: 0.7126 memory: 2186 2022/08/01 01:54:07 - mmengine - INFO - Epoch(val) [14][78/78] acc/top1: 0.6365 acc/top5: 0.8530 acc/mean1: 0.6363 2022/08/01 01:54:26 - mmengine - INFO - Epoch(train) [15][20/940] lr: 1.0000e-02 eta: 17:34:50 time: 0.9584 data_time: 0.6403 memory: 13619 grad_norm: 3.6955 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4360 loss: 1.4360 2022/08/01 01:54:43 - mmengine - INFO - Epoch(train) [15][40/940] lr: 1.0000e-02 eta: 17:34:39 time: 0.8142 data_time: 0.2110 memory: 13619 grad_norm: 3.6967 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5223 loss: 1.5223 2022/08/01 01:55:00 - mmengine - INFO - Epoch(train) [15][60/940] lr: 1.0000e-02 eta: 17:34:30 time: 0.8418 data_time: 0.0456 memory: 13619 grad_norm: 3.7166 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5161 loss: 1.5161 2022/08/01 01:55:14 - mmengine - INFO - Epoch(train) [15][80/940] lr: 1.0000e-02 eta: 17:34:07 time: 0.7183 data_time: 0.0970 memory: 13619 grad_norm: 3.7175 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5192 loss: 1.5192 2022/08/01 01:55:32 - mmengine - INFO - Epoch(train) [15][100/940] lr: 1.0000e-02 eta: 17:34:03 time: 0.8834 data_time: 0.0350 memory: 13619 grad_norm: 3.7042 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5897 loss: 1.5897 2022/08/01 01:55:46 - mmengine - INFO - Epoch(train) [15][120/940] lr: 1.0000e-02 eta: 17:33:37 time: 0.6975 data_time: 0.0348 memory: 13619 grad_norm: 3.8861 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5912 loss: 1.5912 2022/08/01 01:56:05 - mmengine - INFO - Epoch(train) [15][140/940] lr: 1.0000e-02 eta: 17:33:44 time: 0.9726 data_time: 0.0349 memory: 13619 grad_norm: 3.8115 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6993 loss: 1.6993 2022/08/01 01:56:19 - mmengine - INFO - Epoch(train) [15][160/940] lr: 1.0000e-02 eta: 17:33:18 time: 0.6946 data_time: 0.0330 memory: 13619 grad_norm: 3.6789 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4706 loss: 1.4706 2022/08/01 01:56:35 - mmengine - INFO - Epoch(train) [15][180/940] lr: 1.0000e-02 eta: 17:33:07 time: 0.8257 data_time: 0.0425 memory: 13619 grad_norm: 3.8183 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.5462 loss: 1.5462 2022/08/01 01:56:49 - mmengine - INFO - Epoch(train) [15][200/940] lr: 1.0000e-02 eta: 17:32:41 time: 0.6989 data_time: 0.0353 memory: 13619 grad_norm: 3.7382 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5587 loss: 1.5587 2022/08/01 01:57:05 - mmengine - INFO - Epoch(train) [15][220/940] lr: 1.0000e-02 eta: 17:32:24 time: 0.7651 data_time: 0.0371 memory: 13619 grad_norm: 3.8260 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5480 loss: 1.5480 2022/08/01 01:57:18 - mmengine - INFO - Epoch(train) [15][240/940] lr: 1.0000e-02 eta: 17:31:57 time: 0.6886 data_time: 0.0388 memory: 13619 grad_norm: 3.6880 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.5210 loss: 1.5210 2022/08/01 01:57:35 - mmengine - INFO - Epoch(train) [15][260/940] lr: 1.0000e-02 eta: 17:31:47 time: 0.8310 data_time: 0.0371 memory: 13619 grad_norm: 3.8263 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.5402 loss: 1.5402 2022/08/01 01:57:50 - mmengine - INFO - Epoch(train) [15][280/940] lr: 1.0000e-02 eta: 17:31:24 time: 0.7267 data_time: 0.0456 memory: 13619 grad_norm: 3.6855 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5253 loss: 1.5253 2022/08/01 01:58:05 - mmengine - INFO - Epoch(train) [15][300/940] lr: 1.0000e-02 eta: 17:31:09 time: 0.7874 data_time: 0.0335 memory: 13619 grad_norm: 3.7786 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6395 loss: 1.6395 2022/08/01 01:58:19 - mmengine - INFO - Epoch(train) [15][320/940] lr: 1.0000e-02 eta: 17:30:42 time: 0.6859 data_time: 0.0430 memory: 13619 grad_norm: 3.7444 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4311 loss: 1.4311 2022/08/01 01:58:36 - mmengine - INFO - Epoch(train) [15][340/940] lr: 1.0000e-02 eta: 17:30:35 time: 0.8571 data_time: 0.0482 memory: 13619 grad_norm: 3.7625 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5072 loss: 1.5072 2022/08/01 01:58:50 - mmengine - INFO - Epoch(train) [15][360/940] lr: 1.0000e-02 eta: 17:30:08 time: 0.6845 data_time: 0.0387 memory: 13619 grad_norm: 3.8274 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.6895 loss: 1.6895 2022/08/01 01:59:08 - mmengine - INFO - Epoch(train) [15][380/940] lr: 1.0000e-02 eta: 17:30:07 time: 0.9109 data_time: 0.0381 memory: 13619 grad_norm: 3.8078 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5175 loss: 1.5175 2022/08/01 01:59:22 - mmengine - INFO - Epoch(train) [15][400/940] lr: 1.0000e-02 eta: 17:29:40 time: 0.6826 data_time: 0.0390 memory: 13619 grad_norm: 3.6941 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5094 loss: 1.5094 2022/08/01 01:59:39 - mmengine - INFO - Epoch(train) [15][420/940] lr: 1.0000e-02 eta: 17:29:33 time: 0.8588 data_time: 0.0382 memory: 13619 grad_norm: 3.7150 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5213 loss: 1.5213 2022/08/01 01:59:52 - mmengine - INFO - Epoch(train) [15][440/940] lr: 1.0000e-02 eta: 17:29:04 time: 0.6707 data_time: 0.0357 memory: 13619 grad_norm: 3.7324 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.5322 loss: 1.5322 2022/08/01 02:00:10 - mmengine - INFO - Epoch(train) [15][460/940] lr: 1.0000e-02 eta: 17:28:58 time: 0.8621 data_time: 0.0442 memory: 13619 grad_norm: 3.7435 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.6044 loss: 1.6044 2022/08/01 02:00:24 - mmengine - INFO - Epoch(train) [15][480/940] lr: 1.0000e-02 eta: 17:28:35 time: 0.7245 data_time: 0.0363 memory: 13619 grad_norm: 3.7783 top1_acc: 0.5312 top5_acc: 0.6250 loss_cls: 1.6259 loss: 1.6259 2022/08/01 02:00:40 - mmengine - INFO - Epoch(train) [15][500/940] lr: 1.0000e-02 eta: 17:28:22 time: 0.8075 data_time: 0.0411 memory: 13619 grad_norm: 3.8096 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6052 loss: 1.6052 2022/08/01 02:00:53 - mmengine - INFO - Epoch(train) [15][520/940] lr: 1.0000e-02 eta: 17:27:51 time: 0.6502 data_time: 0.0391 memory: 13619 grad_norm: 3.7784 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5420 loss: 1.5420 2022/08/01 02:01:10 - mmengine - INFO - Epoch(train) [15][540/940] lr: 1.0000e-02 eta: 17:27:41 time: 0.8333 data_time: 0.0442 memory: 13619 grad_norm: 3.8202 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5639 loss: 1.5639 2022/08/01 02:01:24 - mmengine - INFO - Epoch(train) [15][560/940] lr: 1.0000e-02 eta: 17:27:15 time: 0.6875 data_time: 0.0982 memory: 13619 grad_norm: 3.7728 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6026 loss: 1.6026 2022/08/01 02:01:40 - mmengine - INFO - Epoch(train) [15][580/940] lr: 1.0000e-02 eta: 17:27:01 time: 0.8004 data_time: 0.0428 memory: 13619 grad_norm: 3.7606 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6574 loss: 1.6574 2022/08/01 02:01:54 - mmengine - INFO - Epoch(train) [15][600/940] lr: 1.0000e-02 eta: 17:26:35 time: 0.6941 data_time: 0.0719 memory: 13619 grad_norm: 3.7985 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6873 loss: 1.6873 2022/08/01 02:02:11 - mmengine - INFO - Epoch(train) [15][620/940] lr: 1.0000e-02 eta: 17:26:31 time: 0.8799 data_time: 0.0382 memory: 13619 grad_norm: 3.8077 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.5600 loss: 1.5600 2022/08/01 02:02:26 - mmengine - INFO - Epoch(train) [15][640/940] lr: 1.0000e-02 eta: 17:26:11 time: 0.7452 data_time: 0.0682 memory: 13619 grad_norm: 3.7619 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5925 loss: 1.5925 2022/08/01 02:02:43 - mmengine - INFO - Epoch(train) [15][660/940] lr: 1.0000e-02 eta: 17:26:03 time: 0.8493 data_time: 0.0369 memory: 13619 grad_norm: 3.7467 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5817 loss: 1.5817 2022/08/01 02:02:58 - mmengine - INFO - Epoch(train) [15][680/940] lr: 1.0000e-02 eta: 17:25:41 time: 0.7274 data_time: 0.0337 memory: 13619 grad_norm: 3.7625 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5913 loss: 1.5913 2022/08/01 02:03:13 - mmengine - INFO - Epoch(train) [15][700/940] lr: 1.0000e-02 eta: 17:25:23 time: 0.7665 data_time: 0.0493 memory: 13619 grad_norm: 3.7833 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.5778 loss: 1.5778 2022/08/01 02:03:29 - mmengine - INFO - Epoch(train) [15][720/940] lr: 1.0000e-02 eta: 17:25:07 time: 0.7784 data_time: 0.0376 memory: 13619 grad_norm: 3.8721 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5239 loss: 1.5239 2022/08/01 02:03:42 - mmengine - INFO - Epoch(train) [15][740/940] lr: 1.0000e-02 eta: 17:24:40 time: 0.6863 data_time: 0.0393 memory: 13619 grad_norm: 3.7333 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5792 loss: 1.5792 2022/08/01 02:03:59 - mmengine - INFO - Epoch(train) [15][760/940] lr: 1.0000e-02 eta: 17:24:28 time: 0.8140 data_time: 0.1274 memory: 13619 grad_norm: 3.7826 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5163 loss: 1.5163 2022/08/01 02:04:15 - mmengine - INFO - Epoch(train) [15][780/940] lr: 1.0000e-02 eta: 17:24:15 time: 0.8020 data_time: 0.2656 memory: 13619 grad_norm: 3.9192 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.7356 loss: 1.7356 2022/08/01 02:04:30 - mmengine - INFO - Epoch(train) [15][800/940] lr: 1.0000e-02 eta: 17:23:57 time: 0.7616 data_time: 0.2277 memory: 13619 grad_norm: 3.7881 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5017 loss: 1.5017 2022/08/01 02:04:46 - mmengine - INFO - Epoch(train) [15][820/940] lr: 1.0000e-02 eta: 17:23:47 time: 0.8324 data_time: 0.2371 memory: 13619 grad_norm: 3.7762 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6714 loss: 1.6714 2022/08/01 02:05:00 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 02:05:00 - mmengine - INFO - Epoch(train) [15][840/940] lr: 1.0000e-02 eta: 17:23:21 time: 0.6912 data_time: 0.1787 memory: 13619 grad_norm: 3.7360 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5545 loss: 1.5545 2022/08/01 02:05:18 - mmengine - INFO - Epoch(train) [15][860/940] lr: 1.0000e-02 eta: 17:23:14 time: 0.8624 data_time: 0.1067 memory: 13619 grad_norm: 3.8760 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6102 loss: 1.6102 2022/08/01 02:05:31 - mmengine - INFO - Epoch(train) [15][880/940] lr: 1.0000e-02 eta: 17:22:46 time: 0.6769 data_time: 0.0512 memory: 13619 grad_norm: 3.7504 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6083 loss: 1.6083 2022/08/01 02:05:48 - mmengine - INFO - Epoch(train) [15][900/940] lr: 1.0000e-02 eta: 17:22:36 time: 0.8278 data_time: 0.0451 memory: 13619 grad_norm: 3.7691 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5907 loss: 1.5907 2022/08/01 02:06:03 - mmengine - INFO - Epoch(train) [15][920/940] lr: 1.0000e-02 eta: 17:22:17 time: 0.7512 data_time: 0.0373 memory: 13619 grad_norm: 3.7999 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6630 loss: 1.6630 2022/08/01 02:06:16 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 02:06:16 - mmengine - INFO - Epoch(train) [15][940/940] lr: 1.0000e-02 eta: 17:21:48 time: 0.6634 data_time: 0.0453 memory: 13619 grad_norm: 3.9873 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5378 loss: 1.5378 2022/08/01 02:06:16 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/01 02:06:36 - mmengine - INFO - Epoch(val) [15][20/78] eta: 0:00:50 time: 0.8768 data_time: 0.7868 memory: 2186 2022/08/01 02:06:48 - mmengine - INFO - Epoch(val) [15][40/78] eta: 0:00:23 time: 0.6233 data_time: 0.5139 memory: 2186 2022/08/01 02:07:04 - mmengine - INFO - Epoch(val) [15][60/78] eta: 0:00:14 time: 0.8216 data_time: 0.7324 memory: 2186 2022/08/01 02:07:16 - mmengine - INFO - Epoch(val) [15][78/78] acc/top1: 0.6438 acc/top5: 0.8605 acc/mean1: 0.6436 2022/08/01 02:07:38 - mmengine - INFO - Epoch(train) [16][20/940] lr: 1.0000e-02 eta: 17:22:05 time: 1.0711 data_time: 0.6670 memory: 13619 grad_norm: 3.7368 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5780 loss: 1.5780 2022/08/01 02:07:50 - mmengine - INFO - Epoch(train) [16][40/940] lr: 1.0000e-02 eta: 17:21:28 time: 0.5951 data_time: 0.3010 memory: 13619 grad_norm: 3.7598 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5173 loss: 1.5173 2022/08/01 02:08:07 - mmengine - INFO - Epoch(train) [16][60/940] lr: 1.0000e-02 eta: 17:21:23 time: 0.8789 data_time: 0.5791 memory: 13619 grad_norm: 3.6629 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4533 loss: 1.4533 2022/08/01 02:08:20 - mmengine - INFO - Epoch(train) [16][80/940] lr: 1.0000e-02 eta: 17:20:53 time: 0.6524 data_time: 0.3305 memory: 13619 grad_norm: 3.7064 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5332 loss: 1.5332 2022/08/01 02:08:37 - mmengine - INFO - Epoch(train) [16][100/940] lr: 1.0000e-02 eta: 17:20:42 time: 0.8240 data_time: 0.5194 memory: 13619 grad_norm: 3.7287 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5069 loss: 1.5069 2022/08/01 02:08:51 - mmengine - INFO - Epoch(train) [16][120/940] lr: 1.0000e-02 eta: 17:20:15 time: 0.6857 data_time: 0.2891 memory: 13619 grad_norm: 3.7601 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5708 loss: 1.5708 2022/08/01 02:09:07 - mmengine - INFO - Epoch(train) [16][140/940] lr: 1.0000e-02 eta: 17:20:02 time: 0.8082 data_time: 0.3204 memory: 13619 grad_norm: 3.7003 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5769 loss: 1.5769 2022/08/01 02:09:21 - mmengine - INFO - Epoch(train) [16][160/940] lr: 1.0000e-02 eta: 17:19:37 time: 0.6971 data_time: 0.3281 memory: 13619 grad_norm: 3.7696 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5156 loss: 1.5156 2022/08/01 02:09:38 - mmengine - INFO - Epoch(train) [16][180/940] lr: 1.0000e-02 eta: 17:19:31 time: 0.8634 data_time: 0.4925 memory: 13619 grad_norm: 3.7495 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6394 loss: 1.6394 2022/08/01 02:09:51 - mmengine - INFO - Epoch(train) [16][200/940] lr: 1.0000e-02 eta: 17:19:01 time: 0.6597 data_time: 0.3050 memory: 13619 grad_norm: 3.8116 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5675 loss: 1.5675 2022/08/01 02:10:10 - mmengine - INFO - Epoch(train) [16][220/940] lr: 1.0000e-02 eta: 17:19:02 time: 0.9273 data_time: 0.6199 memory: 13619 grad_norm: 3.6874 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4978 loss: 1.4978 2022/08/01 02:10:23 - mmengine - INFO - Epoch(train) [16][240/940] lr: 1.0000e-02 eta: 17:18:35 time: 0.6822 data_time: 0.3735 memory: 13619 grad_norm: 3.8230 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5605 loss: 1.5605 2022/08/01 02:10:40 - mmengine - INFO - Epoch(train) [16][260/940] lr: 1.0000e-02 eta: 17:18:27 time: 0.8480 data_time: 0.5216 memory: 13619 grad_norm: 3.7742 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4754 loss: 1.4754 2022/08/01 02:10:53 - mmengine - INFO - Epoch(train) [16][280/940] lr: 1.0000e-02 eta: 17:17:54 time: 0.6262 data_time: 0.3254 memory: 13619 grad_norm: 3.8101 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4821 loss: 1.4821 2022/08/01 02:11:11 - mmengine - INFO - Epoch(train) [16][300/940] lr: 1.0000e-02 eta: 17:17:50 time: 0.8900 data_time: 0.5470 memory: 13619 grad_norm: 3.7756 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.6192 loss: 1.6192 2022/08/01 02:11:25 - mmengine - INFO - Epoch(train) [16][320/940] lr: 1.0000e-02 eta: 17:17:26 time: 0.7060 data_time: 0.4004 memory: 13619 grad_norm: 3.8093 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5077 loss: 1.5077 2022/08/01 02:11:41 - mmengine - INFO - Epoch(train) [16][340/940] lr: 1.0000e-02 eta: 17:17:15 time: 0.8266 data_time: 0.5054 memory: 13619 grad_norm: 3.7940 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5360 loss: 1.5360 2022/08/01 02:11:55 - mmengine - INFO - Epoch(train) [16][360/940] lr: 1.0000e-02 eta: 17:16:47 time: 0.6701 data_time: 0.3734 memory: 13619 grad_norm: 3.8077 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4982 loss: 1.4982 2022/08/01 02:12:12 - mmengine - INFO - Epoch(train) [16][380/940] lr: 1.0000e-02 eta: 17:16:38 time: 0.8389 data_time: 0.5136 memory: 13619 grad_norm: 3.7919 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3720 loss: 1.3720 2022/08/01 02:12:26 - mmengine - INFO - Epoch(train) [16][400/940] lr: 1.0000e-02 eta: 17:16:13 time: 0.7001 data_time: 0.4091 memory: 13619 grad_norm: 3.7739 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3992 loss: 1.3992 2022/08/01 02:12:42 - mmengine - INFO - Epoch(train) [16][420/940] lr: 1.0000e-02 eta: 17:16:04 time: 0.8382 data_time: 0.5407 memory: 13619 grad_norm: 3.8340 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.5544 loss: 1.5544 2022/08/01 02:12:56 - mmengine - INFO - Epoch(train) [16][440/940] lr: 1.0000e-02 eta: 17:15:38 time: 0.6894 data_time: 0.3598 memory: 13619 grad_norm: 3.8011 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5528 loss: 1.5528 2022/08/01 02:13:14 - mmengine - INFO - Epoch(train) [16][460/940] lr: 1.0000e-02 eta: 17:15:34 time: 0.8872 data_time: 0.5756 memory: 13619 grad_norm: 3.8400 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5268 loss: 1.5268 2022/08/01 02:13:27 - mmengine - INFO - Epoch(train) [16][480/940] lr: 1.0000e-02 eta: 17:15:07 time: 0.6761 data_time: 0.3705 memory: 13619 grad_norm: 3.7672 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.6775 loss: 1.6775 2022/08/01 02:13:44 - mmengine - INFO - Epoch(train) [16][500/940] lr: 1.0000e-02 eta: 17:14:58 time: 0.8493 data_time: 0.5288 memory: 13619 grad_norm: 3.8245 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.5240 loss: 1.5240 2022/08/01 02:13:58 - mmengine - INFO - Epoch(train) [16][520/940] lr: 1.0000e-02 eta: 17:14:30 time: 0.6629 data_time: 0.3323 memory: 13619 grad_norm: 3.7799 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6994 loss: 1.6994 2022/08/01 02:14:15 - mmengine - INFO - Epoch(train) [16][540/940] lr: 1.0000e-02 eta: 17:14:22 time: 0.8532 data_time: 0.5090 memory: 13619 grad_norm: 3.9066 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4981 loss: 1.4981 2022/08/01 02:14:28 - mmengine - INFO - Epoch(train) [16][560/940] lr: 1.0000e-02 eta: 17:13:55 time: 0.6791 data_time: 0.3601 memory: 13619 grad_norm: 3.8182 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4767 loss: 1.4767 2022/08/01 02:14:46 - mmengine - INFO - Epoch(train) [16][580/940] lr: 1.0000e-02 eta: 17:13:49 time: 0.8740 data_time: 0.5326 memory: 13619 grad_norm: 3.8126 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.6240 loss: 1.6240 2022/08/01 02:14:59 - mmengine - INFO - Epoch(train) [16][600/940] lr: 1.0000e-02 eta: 17:13:21 time: 0.6666 data_time: 0.3651 memory: 13619 grad_norm: 3.7860 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4980 loss: 1.4980 2022/08/01 02:15:16 - mmengine - INFO - Epoch(train) [16][620/940] lr: 1.0000e-02 eta: 17:13:14 time: 0.8636 data_time: 0.5270 memory: 13619 grad_norm: 3.7970 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.6821 loss: 1.6821 2022/08/01 02:15:29 - mmengine - INFO - Epoch(train) [16][640/940] lr: 1.0000e-02 eta: 17:12:43 time: 0.6364 data_time: 0.3237 memory: 13619 grad_norm: 3.7807 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.5364 loss: 1.5364 2022/08/01 02:15:45 - mmengine - INFO - Epoch(train) [16][660/940] lr: 1.0000e-02 eta: 17:12:31 time: 0.8197 data_time: 0.4812 memory: 13619 grad_norm: 3.8811 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5867 loss: 1.5867 2022/08/01 02:15:59 - mmengine - INFO - Epoch(train) [16][680/940] lr: 1.0000e-02 eta: 17:12:06 time: 0.6856 data_time: 0.3682 memory: 13619 grad_norm: 3.8323 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.5945 loss: 1.5945 2022/08/01 02:16:16 - mmengine - INFO - Epoch(train) [16][700/940] lr: 1.0000e-02 eta: 17:11:57 time: 0.8445 data_time: 0.5319 memory: 13619 grad_norm: 3.7673 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5576 loss: 1.5576 2022/08/01 02:16:31 - mmengine - INFO - Epoch(train) [16][720/940] lr: 1.0000e-02 eta: 17:11:36 time: 0.7306 data_time: 0.3750 memory: 13619 grad_norm: 3.8909 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6325 loss: 1.6325 2022/08/01 02:16:48 - mmengine - INFO - Epoch(train) [16][740/940] lr: 1.0000e-02 eta: 17:11:29 time: 0.8680 data_time: 0.4948 memory: 13619 grad_norm: 3.7859 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5780 loss: 1.5780 2022/08/01 02:17:02 - mmengine - INFO - Epoch(train) [16][760/940] lr: 1.0000e-02 eta: 17:11:06 time: 0.7101 data_time: 0.3828 memory: 13619 grad_norm: 3.8298 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5192 loss: 1.5192 2022/08/01 02:17:19 - mmengine - INFO - Epoch(train) [16][780/940] lr: 1.0000e-02 eta: 17:10:56 time: 0.8401 data_time: 0.5278 memory: 13619 grad_norm: 3.8211 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5113 loss: 1.5113 2022/08/01 02:17:32 - mmengine - INFO - Epoch(train) [16][800/940] lr: 1.0000e-02 eta: 17:10:27 time: 0.6569 data_time: 0.3450 memory: 13619 grad_norm: 3.7781 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4941 loss: 1.4941 2022/08/01 02:17:50 - mmengine - INFO - Epoch(train) [16][820/940] lr: 1.0000e-02 eta: 17:10:22 time: 0.8760 data_time: 0.3823 memory: 13619 grad_norm: 3.8116 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4863 loss: 1.4863 2022/08/01 02:18:03 - mmengine - INFO - Epoch(train) [16][840/940] lr: 1.0000e-02 eta: 17:09:52 time: 0.6438 data_time: 0.2485 memory: 13619 grad_norm: 3.8114 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5102 loss: 1.5102 2022/08/01 02:18:19 - mmengine - INFO - Epoch(train) [16][860/940] lr: 1.0000e-02 eta: 17:09:42 time: 0.8342 data_time: 0.3423 memory: 13619 grad_norm: 3.7995 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5823 loss: 1.5823 2022/08/01 02:18:36 - mmengine - INFO - Epoch(train) [16][880/940] lr: 1.0000e-02 eta: 17:09:31 time: 0.8277 data_time: 0.1758 memory: 13619 grad_norm: 3.8171 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.4269 loss: 1.4269 2022/08/01 02:18:51 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 02:18:51 - mmengine - INFO - Epoch(train) [16][900/940] lr: 1.0000e-02 eta: 17:09:14 time: 0.7749 data_time: 0.2153 memory: 13619 grad_norm: 3.8472 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4717 loss: 1.4717 2022/08/01 02:19:06 - mmengine - INFO - Epoch(train) [16][920/940] lr: 1.0000e-02 eta: 17:08:55 time: 0.7427 data_time: 0.0554 memory: 13619 grad_norm: 3.7563 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5838 loss: 1.5838 2022/08/01 02:19:18 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 02:19:18 - mmengine - INFO - Epoch(train) [16][940/940] lr: 1.0000e-02 eta: 17:08:21 time: 0.6080 data_time: 0.1077 memory: 13619 grad_norm: 4.0124 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.6458 loss: 1.6458 2022/08/01 02:19:36 - mmengine - INFO - Epoch(val) [16][20/78] eta: 0:00:49 time: 0.8586 data_time: 0.7609 memory: 2186 2022/08/01 02:19:48 - mmengine - INFO - Epoch(val) [16][40/78] eta: 0:00:22 time: 0.6039 data_time: 0.4967 memory: 2186 2022/08/01 02:20:04 - mmengine - INFO - Epoch(val) [16][60/78] eta: 0:00:14 time: 0.8231 data_time: 0.7301 memory: 2186 2022/08/01 02:20:18 - mmengine - INFO - Epoch(val) [16][78/78] acc/top1: 0.6426 acc/top5: 0.8594 acc/mean1: 0.6424 2022/08/01 02:20:38 - mmengine - INFO - Epoch(train) [17][20/940] lr: 1.0000e-02 eta: 17:08:28 time: 0.9989 data_time: 0.5515 memory: 13619 grad_norm: 3.7851 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.5314 loss: 1.5314 2022/08/01 02:20:52 - mmengine - INFO - Epoch(train) [17][40/940] lr: 1.0000e-02 eta: 17:08:07 time: 0.7266 data_time: 0.3927 memory: 13619 grad_norm: 3.7877 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.4836 loss: 1.4836 2022/08/01 02:21:08 - mmengine - INFO - Epoch(train) [17][60/940] lr: 1.0000e-02 eta: 17:07:53 time: 0.8000 data_time: 0.4932 memory: 13619 grad_norm: 3.6427 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6445 loss: 1.6445 2022/08/01 02:21:22 - mmengine - INFO - Epoch(train) [17][80/940] lr: 1.0000e-02 eta: 17:07:26 time: 0.6704 data_time: 0.3803 memory: 13619 grad_norm: 3.7240 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4642 loss: 1.4642 2022/08/01 02:21:39 - mmengine - INFO - Epoch(train) [17][100/940] lr: 1.0000e-02 eta: 17:07:17 time: 0.8522 data_time: 0.5376 memory: 13619 grad_norm: 3.7593 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4806 loss: 1.4806 2022/08/01 02:21:52 - mmengine - INFO - Epoch(train) [17][120/940] lr: 1.0000e-02 eta: 17:06:51 time: 0.6764 data_time: 0.3784 memory: 13619 grad_norm: 3.8679 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.4827 loss: 1.4827 2022/08/01 02:22:10 - mmengine - INFO - Epoch(train) [17][140/940] lr: 1.0000e-02 eta: 17:06:47 time: 0.8977 data_time: 0.4833 memory: 13619 grad_norm: 3.7876 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4939 loss: 1.4939 2022/08/01 02:22:24 - mmengine - INFO - Epoch(train) [17][160/940] lr: 1.0000e-02 eta: 17:06:21 time: 0.6816 data_time: 0.3851 memory: 13619 grad_norm: 3.7893 top1_acc: 0.7188 top5_acc: 0.7500 loss_cls: 1.6170 loss: 1.6170 2022/08/01 02:22:39 - mmengine - INFO - Epoch(train) [17][180/940] lr: 1.0000e-02 eta: 17:06:06 time: 0.7825 data_time: 0.4672 memory: 13619 grad_norm: 3.8710 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6309 loss: 1.6309 2022/08/01 02:22:53 - mmengine - INFO - Epoch(train) [17][200/940] lr: 1.0000e-02 eta: 17:05:41 time: 0.6955 data_time: 0.2953 memory: 13619 grad_norm: 3.8478 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6275 loss: 1.6275 2022/08/01 02:23:11 - mmengine - INFO - Epoch(train) [17][220/940] lr: 1.0000e-02 eta: 17:05:35 time: 0.8732 data_time: 0.1670 memory: 13619 grad_norm: 3.7354 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5105 loss: 1.5105 2022/08/01 02:23:24 - mmengine - INFO - Epoch(train) [17][240/940] lr: 1.0000e-02 eta: 17:05:09 time: 0.6791 data_time: 0.0637 memory: 13619 grad_norm: 3.7842 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6908 loss: 1.6908 2022/08/01 02:23:42 - mmengine - INFO - Epoch(train) [17][260/940] lr: 1.0000e-02 eta: 17:05:01 time: 0.8540 data_time: 0.1028 memory: 13619 grad_norm: 3.7892 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.4412 loss: 1.4412 2022/08/01 02:23:55 - mmengine - INFO - Epoch(train) [17][280/940] lr: 1.0000e-02 eta: 17:04:32 time: 0.6586 data_time: 0.0785 memory: 13619 grad_norm: 3.7856 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5234 loss: 1.5234 2022/08/01 02:24:12 - mmengine - INFO - Epoch(train) [17][300/940] lr: 1.0000e-02 eta: 17:04:27 time: 0.8782 data_time: 0.2188 memory: 13619 grad_norm: 3.7345 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.5448 loss: 1.5448 2022/08/01 02:24:25 - mmengine - INFO - Epoch(train) [17][320/940] lr: 1.0000e-02 eta: 17:03:58 time: 0.6530 data_time: 0.2110 memory: 13619 grad_norm: 3.8448 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5168 loss: 1.5168 2022/08/01 02:24:44 - mmengine - INFO - Epoch(train) [17][340/940] lr: 1.0000e-02 eta: 17:03:56 time: 0.9141 data_time: 0.4409 memory: 13619 grad_norm: 3.7409 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4569 loss: 1.4569 2022/08/01 02:24:57 - mmengine - INFO - Epoch(train) [17][360/940] lr: 1.0000e-02 eta: 17:03:31 time: 0.6857 data_time: 0.2153 memory: 13619 grad_norm: 3.8024 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.5930 loss: 1.5930 2022/08/01 02:25:14 - mmengine - INFO - Epoch(train) [17][380/940] lr: 1.0000e-02 eta: 17:03:22 time: 0.8558 data_time: 0.0577 memory: 13619 grad_norm: 3.7624 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4726 loss: 1.4726 2022/08/01 02:25:27 - mmengine - INFO - Epoch(train) [17][400/940] lr: 1.0000e-02 eta: 17:02:51 time: 0.6219 data_time: 0.0397 memory: 13619 grad_norm: 3.8880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7971 loss: 1.7971 2022/08/01 02:25:44 - mmengine - INFO - Epoch(train) [17][420/940] lr: 1.0000e-02 eta: 17:02:41 time: 0.8424 data_time: 0.0715 memory: 13619 grad_norm: 3.8239 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5220 loss: 1.5220 2022/08/01 02:25:58 - mmengine - INFO - Epoch(train) [17][440/940] lr: 1.0000e-02 eta: 17:02:21 time: 0.7347 data_time: 0.0757 memory: 13619 grad_norm: 3.7885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3735 loss: 1.3735 2022/08/01 02:26:15 - mmengine - INFO - Epoch(train) [17][460/940] lr: 1.0000e-02 eta: 17:02:10 time: 0.8279 data_time: 0.0523 memory: 13619 grad_norm: 3.8439 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5411 loss: 1.5411 2022/08/01 02:26:29 - mmengine - INFO - Epoch(train) [17][480/940] lr: 1.0000e-02 eta: 17:01:44 time: 0.6779 data_time: 0.0472 memory: 13619 grad_norm: 3.8452 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5902 loss: 1.5902 2022/08/01 02:26:45 - mmengine - INFO - Epoch(train) [17][500/940] lr: 1.0000e-02 eta: 17:01:32 time: 0.8156 data_time: 0.0425 memory: 13619 grad_norm: 3.7057 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4268 loss: 1.4268 2022/08/01 02:26:59 - mmengine - INFO - Epoch(train) [17][520/940] lr: 1.0000e-02 eta: 17:01:07 time: 0.6918 data_time: 0.0670 memory: 13619 grad_norm: 3.8052 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5855 loss: 1.5855 2022/08/01 02:27:15 - mmengine - INFO - Epoch(train) [17][540/940] lr: 1.0000e-02 eta: 17:00:57 time: 0.8321 data_time: 0.0974 memory: 13619 grad_norm: 3.7957 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5770 loss: 1.5770 2022/08/01 02:27:30 - mmengine - INFO - Epoch(train) [17][560/940] lr: 1.0000e-02 eta: 17:00:35 time: 0.7259 data_time: 0.0412 memory: 13619 grad_norm: 3.8505 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5833 loss: 1.5833 2022/08/01 02:27:47 - mmengine - INFO - Epoch(train) [17][580/940] lr: 1.0000e-02 eta: 17:00:25 time: 0.8339 data_time: 0.0543 memory: 13619 grad_norm: 3.7989 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5451 loss: 1.5451 2022/08/01 02:28:00 - mmengine - INFO - Epoch(train) [17][600/940] lr: 1.0000e-02 eta: 16:59:59 time: 0.6782 data_time: 0.0513 memory: 13619 grad_norm: 3.8389 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5230 loss: 1.5230 2022/08/01 02:28:17 - mmengine - INFO - Epoch(train) [17][620/940] lr: 1.0000e-02 eta: 16:59:51 time: 0.8585 data_time: 0.1562 memory: 13619 grad_norm: 3.8465 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.5273 loss: 1.5273 2022/08/01 02:28:31 - mmengine - INFO - Epoch(train) [17][640/940] lr: 1.0000e-02 eta: 16:59:26 time: 0.6796 data_time: 0.1528 memory: 13619 grad_norm: 3.8375 top1_acc: 0.5938 top5_acc: 0.9688 loss_cls: 1.5092 loss: 1.5092 2022/08/01 02:28:47 - mmengine - INFO - Epoch(train) [17][660/940] lr: 1.0000e-02 eta: 16:59:14 time: 0.8185 data_time: 0.2188 memory: 13619 grad_norm: 3.8488 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4933 loss: 1.4933 2022/08/01 02:29:02 - mmengine - INFO - Epoch(train) [17][680/940] lr: 1.0000e-02 eta: 16:58:51 time: 0.7138 data_time: 0.1193 memory: 13619 grad_norm: 3.8944 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4862 loss: 1.4862 2022/08/01 02:29:18 - mmengine - INFO - Epoch(train) [17][700/940] lr: 1.0000e-02 eta: 16:58:40 time: 0.8191 data_time: 0.3678 memory: 13619 grad_norm: 3.8567 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.6291 loss: 1.6291 2022/08/01 02:29:33 - mmengine - INFO - Epoch(train) [17][720/940] lr: 1.0000e-02 eta: 16:58:21 time: 0.7472 data_time: 0.4143 memory: 13619 grad_norm: 3.7257 top1_acc: 0.7188 top5_acc: 0.7188 loss_cls: 1.4724 loss: 1.4724 2022/08/01 02:29:48 - mmengine - INFO - Epoch(train) [17][740/940] lr: 1.0000e-02 eta: 16:58:05 time: 0.7768 data_time: 0.4623 memory: 13619 grad_norm: 3.8804 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.5338 loss: 1.5338 2022/08/01 02:30:02 - mmengine - INFO - Epoch(train) [17][760/940] lr: 1.0000e-02 eta: 16:57:39 time: 0.6799 data_time: 0.3584 memory: 13619 grad_norm: 3.8027 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.4563 loss: 1.4563 2022/08/01 02:30:19 - mmengine - INFO - Epoch(train) [17][780/940] lr: 1.0000e-02 eta: 16:57:28 time: 0.8260 data_time: 0.4523 memory: 13619 grad_norm: 3.8873 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5366 loss: 1.5366 2022/08/01 02:30:33 - mmengine - INFO - Epoch(train) [17][800/940] lr: 1.0000e-02 eta: 16:57:07 time: 0.7282 data_time: 0.3415 memory: 13619 grad_norm: 3.9346 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.5978 loss: 1.5978 2022/08/01 02:30:49 - mmengine - INFO - Epoch(train) [17][820/940] lr: 1.0000e-02 eta: 16:56:52 time: 0.7865 data_time: 0.3956 memory: 13619 grad_norm: 3.8504 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.6280 loss: 1.6280 2022/08/01 02:31:03 - mmengine - INFO - Epoch(train) [17][840/940] lr: 1.0000e-02 eta: 16:56:29 time: 0.7047 data_time: 0.2914 memory: 13619 grad_norm: 3.9561 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6201 loss: 1.6201 2022/08/01 02:31:21 - mmengine - INFO - Epoch(train) [17][860/940] lr: 1.0000e-02 eta: 16:56:23 time: 0.8807 data_time: 0.2954 memory: 13619 grad_norm: 3.8583 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5531 loss: 1.5531 2022/08/01 02:31:35 - mmengine - INFO - Epoch(train) [17][880/940] lr: 1.0000e-02 eta: 16:56:03 time: 0.7340 data_time: 0.1730 memory: 13619 grad_norm: 3.8192 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4913 loss: 1.4913 2022/08/01 02:31:50 - mmengine - INFO - Epoch(train) [17][900/940] lr: 1.0000e-02 eta: 16:55:45 time: 0.7542 data_time: 0.2978 memory: 13619 grad_norm: 3.8030 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5461 loss: 1.5461 2022/08/01 02:32:04 - mmengine - INFO - Epoch(train) [17][920/940] lr: 1.0000e-02 eta: 16:55:20 time: 0.6920 data_time: 0.3094 memory: 13619 grad_norm: 3.8212 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6043 loss: 1.6043 2022/08/01 02:32:19 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 02:32:19 - mmengine - INFO - Epoch(train) [17][940/940] lr: 1.0000e-02 eta: 16:55:01 time: 0.7428 data_time: 0.4487 memory: 13619 grad_norm: 4.0884 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6132 loss: 1.6132 2022/08/01 02:32:37 - mmengine - INFO - Epoch(val) [17][20/78] eta: 0:00:50 time: 0.8707 data_time: 0.7702 memory: 2186 2022/08/01 02:32:49 - mmengine - INFO - Epoch(val) [17][40/78] eta: 0:00:22 time: 0.5973 data_time: 0.5039 memory: 2186 2022/08/01 02:33:07 - mmengine - INFO - Epoch(val) [17][60/78] eta: 0:00:16 time: 0.9184 data_time: 0.8279 memory: 2186 2022/08/01 02:33:19 - mmengine - INFO - Epoch(val) [17][78/78] acc/top1: 0.6517 acc/top5: 0.8632 acc/mean1: 0.6516 2022/08/01 02:33:19 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/08/01 02:33:21 - mmengine - INFO - The best checkpoint with 0.6517 acc/top1 at 18 epoch is saved to best_acc/top1_epoch_18.pth. 2022/08/01 02:33:40 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 02:33:40 - mmengine - INFO - Epoch(train) [18][20/940] lr: 1.0000e-02 eta: 16:55:04 time: 0.9727 data_time: 0.6673 memory: 13619 grad_norm: 3.7289 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5531 loss: 1.5531 2022/08/01 02:33:54 - mmengine - INFO - Epoch(train) [18][40/940] lr: 1.0000e-02 eta: 16:54:39 time: 0.6841 data_time: 0.3851 memory: 13619 grad_norm: 3.8173 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5007 loss: 1.5007 2022/08/01 02:34:12 - mmengine - INFO - Epoch(train) [18][60/940] lr: 1.0000e-02 eta: 16:54:37 time: 0.9173 data_time: 0.6076 memory: 13619 grad_norm: 3.7188 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.5459 loss: 1.5459 2022/08/01 02:34:27 - mmengine - INFO - Epoch(train) [18][80/940] lr: 1.0000e-02 eta: 16:54:16 time: 0.7326 data_time: 0.4259 memory: 13619 grad_norm: 3.7729 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 1.6002 loss: 1.6002 2022/08/01 02:34:44 - mmengine - INFO - Epoch(train) [18][100/940] lr: 1.0000e-02 eta: 16:54:09 time: 0.8682 data_time: 0.5584 memory: 13619 grad_norm: 3.8117 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4110 loss: 1.4110 2022/08/01 02:34:58 - mmengine - INFO - Epoch(train) [18][120/940] lr: 1.0000e-02 eta: 16:53:46 time: 0.7021 data_time: 0.4015 memory: 13619 grad_norm: 3.7220 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4799 loss: 1.4799 2022/08/01 02:35:15 - mmengine - INFO - Epoch(train) [18][140/940] lr: 1.0000e-02 eta: 16:53:38 time: 0.8559 data_time: 0.5486 memory: 13619 grad_norm: 3.8147 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4854 loss: 1.4854 2022/08/01 02:35:29 - mmengine - INFO - Epoch(train) [18][160/940] lr: 1.0000e-02 eta: 16:53:12 time: 0.6735 data_time: 0.3659 memory: 13619 grad_norm: 3.7651 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.4059 loss: 1.4059 2022/08/01 02:35:45 - mmengine - INFO - Epoch(train) [18][180/940] lr: 1.0000e-02 eta: 16:53:01 time: 0.8319 data_time: 0.5020 memory: 13619 grad_norm: 3.7171 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4366 loss: 1.4366 2022/08/01 02:35:59 - mmengine - INFO - Epoch(train) [18][200/940] lr: 1.0000e-02 eta: 16:52:36 time: 0.6828 data_time: 0.3785 memory: 13619 grad_norm: 3.7909 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.4861 loss: 1.4861 2022/08/01 02:36:15 - mmengine - INFO - Epoch(train) [18][220/940] lr: 1.0000e-02 eta: 16:52:23 time: 0.8090 data_time: 0.4676 memory: 13619 grad_norm: 3.7912 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6088 loss: 1.6088 2022/08/01 02:36:29 - mmengine - INFO - Epoch(train) [18][240/940] lr: 1.0000e-02 eta: 16:51:59 time: 0.6934 data_time: 0.3603 memory: 13619 grad_norm: 3.8894 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4892 loss: 1.4892 2022/08/01 02:36:46 - mmengine - INFO - Epoch(train) [18][260/940] lr: 1.0000e-02 eta: 16:51:52 time: 0.8712 data_time: 0.5532 memory: 13619 grad_norm: 3.8101 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6340 loss: 1.6340 2022/08/01 02:37:00 - mmengine - INFO - Epoch(train) [18][280/940] lr: 1.0000e-02 eta: 16:51:27 time: 0.6856 data_time: 0.3084 memory: 13619 grad_norm: 3.7837 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.4815 loss: 1.4815 2022/08/01 02:37:17 - mmengine - INFO - Epoch(train) [18][300/940] lr: 1.0000e-02 eta: 16:51:15 time: 0.8176 data_time: 0.4752 memory: 13619 grad_norm: 3.8650 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4350 loss: 1.4350 2022/08/01 02:37:31 - mmengine - INFO - Epoch(train) [18][320/940] lr: 1.0000e-02 eta: 16:50:53 time: 0.7073 data_time: 0.3047 memory: 13619 grad_norm: 3.8308 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4792 loss: 1.4792 2022/08/01 02:37:48 - mmengine - INFO - Epoch(train) [18][340/940] lr: 1.0000e-02 eta: 16:50:45 time: 0.8684 data_time: 0.4700 memory: 13619 grad_norm: 3.7949 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6001 loss: 1.6001 2022/08/01 02:38:02 - mmengine - INFO - Epoch(train) [18][360/940] lr: 1.0000e-02 eta: 16:50:21 time: 0.6921 data_time: 0.3256 memory: 13619 grad_norm: 3.8844 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5133 loss: 1.5133 2022/08/01 02:38:18 - mmengine - INFO - Epoch(train) [18][380/940] lr: 1.0000e-02 eta: 16:50:10 time: 0.8289 data_time: 0.4430 memory: 13619 grad_norm: 3.8980 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5528 loss: 1.5528 2022/08/01 02:38:32 - mmengine - INFO - Epoch(train) [18][400/940] lr: 1.0000e-02 eta: 16:49:44 time: 0.6655 data_time: 0.3120 memory: 13619 grad_norm: 3.9112 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4746 loss: 1.4746 2022/08/01 02:38:48 - mmengine - INFO - Epoch(train) [18][420/940] lr: 1.0000e-02 eta: 16:49:33 time: 0.8271 data_time: 0.3635 memory: 13619 grad_norm: 3.8470 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5139 loss: 1.5139 2022/08/01 02:39:03 - mmengine - INFO - Epoch(train) [18][440/940] lr: 1.0000e-02 eta: 16:49:14 time: 0.7473 data_time: 0.1580 memory: 13619 grad_norm: 3.8776 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4969 loss: 1.4969 2022/08/01 02:39:20 - mmengine - INFO - Epoch(train) [18][460/940] lr: 1.0000e-02 eta: 16:49:05 time: 0.8525 data_time: 0.1334 memory: 13619 grad_norm: 3.8297 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4445 loss: 1.4445 2022/08/01 02:39:33 - mmengine - INFO - Epoch(train) [18][480/940] lr: 1.0000e-02 eta: 16:48:37 time: 0.6535 data_time: 0.1155 memory: 13619 grad_norm: 3.8981 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4904 loss: 1.4904 2022/08/01 02:39:50 - mmengine - INFO - Epoch(train) [18][500/940] lr: 1.0000e-02 eta: 16:48:28 time: 0.8474 data_time: 0.1132 memory: 13619 grad_norm: 3.8555 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4369 loss: 1.4369 2022/08/01 02:40:04 - mmengine - INFO - Epoch(train) [18][520/940] lr: 1.0000e-02 eta: 16:48:05 time: 0.6990 data_time: 0.1390 memory: 13619 grad_norm: 3.8708 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6656 loss: 1.6656 2022/08/01 02:40:21 - mmengine - INFO - Epoch(train) [18][540/940] lr: 1.0000e-02 eta: 16:47:53 time: 0.8222 data_time: 0.3637 memory: 13619 grad_norm: 3.7207 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3904 loss: 1.3904 2022/08/01 02:40:34 - mmengine - INFO - Epoch(train) [18][560/940] lr: 1.0000e-02 eta: 16:47:28 time: 0.6755 data_time: 0.3071 memory: 13619 grad_norm: 3.8075 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5714 loss: 1.5714 2022/08/01 02:40:51 - mmengine - INFO - Epoch(train) [18][580/940] lr: 1.0000e-02 eta: 16:47:19 time: 0.8542 data_time: 0.4632 memory: 13619 grad_norm: 3.7691 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4946 loss: 1.4946 2022/08/01 02:41:05 - mmengine - INFO - Epoch(train) [18][600/940] lr: 1.0000e-02 eta: 16:46:55 time: 0.6905 data_time: 0.1996 memory: 13619 grad_norm: 3.8788 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.5074 loss: 1.5074 2022/08/01 02:41:21 - mmengine - INFO - Epoch(train) [18][620/940] lr: 1.0000e-02 eta: 16:46:41 time: 0.7943 data_time: 0.3547 memory: 13619 grad_norm: 3.7850 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5150 loss: 1.5150 2022/08/01 02:41:34 - mmengine - INFO - Epoch(train) [18][640/940] lr: 1.0000e-02 eta: 16:46:15 time: 0.6717 data_time: 0.3532 memory: 13619 grad_norm: 3.8103 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5034 loss: 1.5034 2022/08/01 02:41:52 - mmengine - INFO - Epoch(train) [18][660/940] lr: 1.0000e-02 eta: 16:46:06 time: 0.8512 data_time: 0.5328 memory: 13619 grad_norm: 3.8548 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6120 loss: 1.6120 2022/08/01 02:42:06 - mmengine - INFO - Epoch(train) [18][680/940] lr: 1.0000e-02 eta: 16:45:44 time: 0.7145 data_time: 0.3856 memory: 13619 grad_norm: 3.9770 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5815 loss: 1.5815 2022/08/01 02:42:23 - mmengine - INFO - Epoch(train) [18][700/940] lr: 1.0000e-02 eta: 16:45:36 time: 0.8638 data_time: 0.5205 memory: 13619 grad_norm: 3.8909 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5936 loss: 1.5936 2022/08/01 02:42:37 - mmengine - INFO - Epoch(train) [18][720/940] lr: 1.0000e-02 eta: 16:45:15 time: 0.7156 data_time: 0.2415 memory: 13619 grad_norm: 3.8005 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5718 loss: 1.5718 2022/08/01 02:42:53 - mmengine - INFO - Epoch(train) [18][740/940] lr: 1.0000e-02 eta: 16:45:01 time: 0.7989 data_time: 0.2269 memory: 13619 grad_norm: 3.8684 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6097 loss: 1.6097 2022/08/01 02:43:07 - mmengine - INFO - Epoch(train) [18][760/940] lr: 1.0000e-02 eta: 16:44:36 time: 0.6803 data_time: 0.1421 memory: 13619 grad_norm: 3.8660 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.6100 loss: 1.6100 2022/08/01 02:43:23 - mmengine - INFO - Epoch(train) [18][780/940] lr: 1.0000e-02 eta: 16:44:22 time: 0.7958 data_time: 0.2640 memory: 13619 grad_norm: 3.8864 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5687 loss: 1.5687 2022/08/01 02:43:37 - mmengine - INFO - Epoch(train) [18][800/940] lr: 1.0000e-02 eta: 16:44:00 time: 0.7070 data_time: 0.2406 memory: 13619 grad_norm: 3.8478 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.5562 loss: 1.5562 2022/08/01 02:43:54 - mmengine - INFO - Epoch(train) [18][820/940] lr: 1.0000e-02 eta: 16:43:51 time: 0.8552 data_time: 0.3500 memory: 13619 grad_norm: 3.8811 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4142 loss: 1.4142 2022/08/01 02:44:08 - mmengine - INFO - Epoch(train) [18][840/940] lr: 1.0000e-02 eta: 16:43:28 time: 0.7032 data_time: 0.2366 memory: 13619 grad_norm: 3.7972 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4147 loss: 1.4147 2022/08/01 02:44:25 - mmengine - INFO - Epoch(train) [18][860/940] lr: 1.0000e-02 eta: 16:43:17 time: 0.8302 data_time: 0.3481 memory: 13619 grad_norm: 3.8850 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.4354 loss: 1.4354 2022/08/01 02:44:39 - mmengine - INFO - Epoch(train) [18][880/940] lr: 1.0000e-02 eta: 16:42:54 time: 0.7012 data_time: 0.2093 memory: 13619 grad_norm: 3.9057 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5345 loss: 1.5345 2022/08/01 02:44:56 - mmengine - INFO - Epoch(train) [18][900/940] lr: 1.0000e-02 eta: 16:42:45 time: 0.8479 data_time: 0.1781 memory: 13619 grad_norm: 3.8601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4942 loss: 1.4942 2022/08/01 02:45:09 - mmengine - INFO - Epoch(train) [18][920/940] lr: 1.0000e-02 eta: 16:42:20 time: 0.6825 data_time: 0.1432 memory: 13619 grad_norm: 3.9097 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5728 loss: 1.5728 2022/08/01 02:45:24 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 02:45:24 - mmengine - INFO - Epoch(train) [18][940/940] lr: 1.0000e-02 eta: 16:42:02 time: 0.7456 data_time: 0.0774 memory: 13619 grad_norm: 4.0149 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.6588 loss: 1.6588 2022/08/01 02:45:24 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/01 02:45:44 - mmengine - INFO - Epoch(val) [18][20/78] eta: 0:00:51 time: 0.8888 data_time: 0.7976 memory: 2186 2022/08/01 02:45:56 - mmengine - INFO - Epoch(val) [18][40/78] eta: 0:00:22 time: 0.5955 data_time: 0.5043 memory: 2186 2022/08/01 02:46:13 - mmengine - INFO - Epoch(val) [18][60/78] eta: 0:00:14 time: 0.8131 data_time: 0.7065 memory: 2186 2022/08/01 02:46:25 - mmengine - INFO - Epoch(val) [18][78/78] acc/top1: 0.6615 acc/top5: 0.8707 acc/mean1: 0.6613 2022/08/01 02:46:26 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_18.pth is removed 2022/08/01 02:46:27 - mmengine - INFO - The best checkpoint with 0.6615 acc/top1 at 19 epoch is saved to best_acc/top1_epoch_19.pth. 2022/08/01 02:46:46 - mmengine - INFO - Epoch(train) [19][20/940] lr: 1.0000e-02 eta: 16:42:03 time: 0.9695 data_time: 0.6975 memory: 13619 grad_norm: 3.8400 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.3989 loss: 1.3989 2022/08/01 02:47:00 - mmengine - INFO - Epoch(train) [19][40/940] lr: 1.0000e-02 eta: 16:41:39 time: 0.6783 data_time: 0.3820 memory: 13619 grad_norm: 3.7705 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4890 loss: 1.4890 2022/08/01 02:47:17 - mmengine - INFO - Epoch(train) [19][60/940] lr: 1.0000e-02 eta: 16:41:28 time: 0.8345 data_time: 0.5332 memory: 13619 grad_norm: 3.7877 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4873 loss: 1.4873 2022/08/01 02:47:30 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 02:47:30 - mmengine - INFO - Epoch(train) [19][80/940] lr: 1.0000e-02 eta: 16:41:00 time: 0.6506 data_time: 0.3660 memory: 13619 grad_norm: 3.8114 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4474 loss: 1.4474 2022/08/01 02:47:47 - mmengine - INFO - Epoch(train) [19][100/940] lr: 1.0000e-02 eta: 16:40:53 time: 0.8681 data_time: 0.4156 memory: 13619 grad_norm: 3.8486 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6365 loss: 1.6365 2022/08/01 02:48:02 - mmengine - INFO - Epoch(train) [19][120/940] lr: 1.0000e-02 eta: 16:40:35 time: 0.7593 data_time: 0.3589 memory: 13619 grad_norm: 3.8301 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4346 loss: 1.4346 2022/08/01 02:48:18 - mmengine - INFO - Epoch(train) [19][140/940] lr: 1.0000e-02 eta: 16:40:21 time: 0.7911 data_time: 0.2412 memory: 13619 grad_norm: 3.7485 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4759 loss: 1.4759 2022/08/01 02:48:34 - mmengine - INFO - Epoch(train) [19][160/940] lr: 1.0000e-02 eta: 16:40:08 time: 0.8147 data_time: 0.1428 memory: 13619 grad_norm: 3.7813 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4250 loss: 1.4250 2022/08/01 02:48:50 - mmengine - INFO - Epoch(train) [19][180/940] lr: 1.0000e-02 eta: 16:39:52 time: 0.7746 data_time: 0.1000 memory: 13619 grad_norm: 3.8612 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5011 loss: 1.5011 2022/08/01 02:49:04 - mmengine - INFO - Epoch(train) [19][200/940] lr: 1.0000e-02 eta: 16:39:28 time: 0.6848 data_time: 0.1216 memory: 13619 grad_norm: 3.8126 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.6441 loss: 1.6441 2022/08/01 02:49:21 - mmengine - INFO - Epoch(train) [19][220/940] lr: 1.0000e-02 eta: 16:39:20 time: 0.8633 data_time: 0.1746 memory: 13619 grad_norm: 3.8503 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5262 loss: 1.5262 2022/08/01 02:49:35 - mmengine - INFO - Epoch(train) [19][240/940] lr: 1.0000e-02 eta: 16:39:00 time: 0.7300 data_time: 0.1086 memory: 13619 grad_norm: 3.8134 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3725 loss: 1.3725 2022/08/01 02:49:54 - mmengine - INFO - Epoch(train) [19][260/940] lr: 1.0000e-02 eta: 16:38:56 time: 0.9127 data_time: 0.0992 memory: 13619 grad_norm: 3.7720 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5283 loss: 1.5283 2022/08/01 02:50:07 - mmengine - INFO - Epoch(train) [19][280/940] lr: 1.0000e-02 eta: 16:38:32 time: 0.6822 data_time: 0.0351 memory: 13619 grad_norm: 3.9164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5434 loss: 1.5434 2022/08/01 02:50:24 - mmengine - INFO - Epoch(train) [19][300/940] lr: 1.0000e-02 eta: 16:38:21 time: 0.8362 data_time: 0.0341 memory: 13619 grad_norm: 3.8425 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4850 loss: 1.4850 2022/08/01 02:50:38 - mmengine - INFO - Epoch(train) [19][320/940] lr: 1.0000e-02 eta: 16:37:57 time: 0.6833 data_time: 0.0362 memory: 13619 grad_norm: 3.8704 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4911 loss: 1.4911 2022/08/01 02:50:54 - mmengine - INFO - Epoch(train) [19][340/940] lr: 1.0000e-02 eta: 16:37:43 time: 0.8048 data_time: 0.0443 memory: 13619 grad_norm: 3.7572 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5181 loss: 1.5181 2022/08/01 02:51:08 - mmengine - INFO - Epoch(train) [19][360/940] lr: 1.0000e-02 eta: 16:37:21 time: 0.7005 data_time: 0.0533 memory: 13619 grad_norm: 3.7973 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/08/01 02:51:24 - mmengine - INFO - Epoch(train) [19][380/940] lr: 1.0000e-02 eta: 16:37:06 time: 0.7851 data_time: 0.0688 memory: 13619 grad_norm: 3.9297 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4994 loss: 1.4994 2022/08/01 02:51:37 - mmengine - INFO - Epoch(train) [19][400/940] lr: 1.0000e-02 eta: 16:36:40 time: 0.6662 data_time: 0.0926 memory: 13619 grad_norm: 3.8349 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4492 loss: 1.4492 2022/08/01 02:51:53 - mmengine - INFO - Epoch(train) [19][420/940] lr: 1.0000e-02 eta: 16:36:24 time: 0.7760 data_time: 0.2481 memory: 13619 grad_norm: 3.8765 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4794 loss: 1.4794 2022/08/01 02:52:09 - mmengine - INFO - Epoch(train) [19][440/940] lr: 1.0000e-02 eta: 16:36:13 time: 0.8341 data_time: 0.4952 memory: 13619 grad_norm: 3.8475 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6221 loss: 1.6221 2022/08/01 02:52:25 - mmengine - INFO - Epoch(train) [19][460/940] lr: 1.0000e-02 eta: 16:35:58 time: 0.7866 data_time: 0.1004 memory: 13619 grad_norm: 3.9090 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4574 loss: 1.4574 2022/08/01 02:52:40 - mmengine - INFO - Epoch(train) [19][480/940] lr: 1.0000e-02 eta: 16:35:41 time: 0.7593 data_time: 0.0992 memory: 13619 grad_norm: 3.8817 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4785 loss: 1.4785 2022/08/01 02:52:56 - mmengine - INFO - Epoch(train) [19][500/940] lr: 1.0000e-02 eta: 16:35:28 time: 0.8111 data_time: 0.0297 memory: 13619 grad_norm: 3.8255 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5239 loss: 1.5239 2022/08/01 02:53:10 - mmengine - INFO - Epoch(train) [19][520/940] lr: 1.0000e-02 eta: 16:35:06 time: 0.7080 data_time: 0.0348 memory: 13619 grad_norm: 3.9389 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4962 loss: 1.4962 2022/08/01 02:53:26 - mmengine - INFO - Epoch(train) [19][540/940] lr: 1.0000e-02 eta: 16:34:51 time: 0.7902 data_time: 0.0400 memory: 13619 grad_norm: 3.8161 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4398 loss: 1.4398 2022/08/01 02:53:44 - mmengine - INFO - Epoch(train) [19][560/940] lr: 1.0000e-02 eta: 16:34:43 time: 0.8678 data_time: 0.0317 memory: 13619 grad_norm: 3.9034 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5352 loss: 1.5352 2022/08/01 02:53:58 - mmengine - INFO - Epoch(train) [19][580/940] lr: 1.0000e-02 eta: 16:34:21 time: 0.7035 data_time: 0.0405 memory: 13619 grad_norm: 3.8599 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5945 loss: 1.5945 2022/08/01 02:54:13 - mmengine - INFO - Epoch(train) [19][600/940] lr: 1.0000e-02 eta: 16:34:02 time: 0.7439 data_time: 0.0352 memory: 13619 grad_norm: 3.8937 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.5762 loss: 1.5762 2022/08/01 02:54:28 - mmengine - INFO - Epoch(train) [19][620/940] lr: 1.0000e-02 eta: 16:33:47 time: 0.7847 data_time: 0.0465 memory: 13619 grad_norm: 3.9368 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4428 loss: 1.4428 2022/08/01 02:54:43 - mmengine - INFO - Epoch(train) [19][640/940] lr: 1.0000e-02 eta: 16:33:27 time: 0.7268 data_time: 0.0329 memory: 13619 grad_norm: 3.8645 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4750 loss: 1.4750 2022/08/01 02:55:00 - mmengine - INFO - Epoch(train) [19][660/940] lr: 1.0000e-02 eta: 16:33:17 time: 0.8450 data_time: 0.0358 memory: 13619 grad_norm: 3.8585 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.5341 loss: 1.5341 2022/08/01 02:55:14 - mmengine - INFO - Epoch(train) [19][680/940] lr: 1.0000e-02 eta: 16:32:55 time: 0.7000 data_time: 0.0313 memory: 13619 grad_norm: 3.8586 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5571 loss: 1.5571 2022/08/01 02:55:30 - mmengine - INFO - Epoch(train) [19][700/940] lr: 1.0000e-02 eta: 16:32:43 time: 0.8233 data_time: 0.0336 memory: 13619 grad_norm: 3.8979 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4263 loss: 1.4263 2022/08/01 02:55:43 - mmengine - INFO - Epoch(train) [19][720/940] lr: 1.0000e-02 eta: 16:32:17 time: 0.6610 data_time: 0.0428 memory: 13619 grad_norm: 3.8410 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5336 loss: 1.5336 2022/08/01 02:56:00 - mmengine - INFO - Epoch(train) [19][740/940] lr: 1.0000e-02 eta: 16:32:05 time: 0.8172 data_time: 0.0391 memory: 13619 grad_norm: 3.7506 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4962 loss: 1.4962 2022/08/01 02:56:14 - mmengine - INFO - Epoch(train) [19][760/940] lr: 1.0000e-02 eta: 16:31:45 time: 0.7339 data_time: 0.0331 memory: 13619 grad_norm: 3.8659 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5204 loss: 1.5204 2022/08/01 02:56:30 - mmengine - INFO - Epoch(train) [19][780/940] lr: 1.0000e-02 eta: 16:31:31 time: 0.7956 data_time: 0.0403 memory: 13619 grad_norm: 3.8130 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3687 loss: 1.3687 2022/08/01 02:56:46 - mmengine - INFO - Epoch(train) [19][800/940] lr: 1.0000e-02 eta: 16:31:14 time: 0.7668 data_time: 0.0398 memory: 13619 grad_norm: 3.8458 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4710 loss: 1.4710 2022/08/01 02:56:59 - mmengine - INFO - Epoch(train) [19][820/940] lr: 1.0000e-02 eta: 16:30:49 time: 0.6718 data_time: 0.0401 memory: 13619 grad_norm: 3.8376 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5583 loss: 1.5583 2022/08/01 02:57:15 - mmengine - INFO - Epoch(train) [19][840/940] lr: 1.0000e-02 eta: 16:30:33 time: 0.7766 data_time: 0.0526 memory: 13619 grad_norm: 3.9245 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4424 loss: 1.4424 2022/08/01 02:57:30 - mmengine - INFO - Epoch(train) [19][860/940] lr: 1.0000e-02 eta: 16:30:17 time: 0.7760 data_time: 0.0391 memory: 13619 grad_norm: 3.9064 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5630 loss: 1.5630 2022/08/01 02:57:45 - mmengine - INFO - Epoch(train) [19][880/940] lr: 1.0000e-02 eta: 16:30:00 time: 0.7532 data_time: 0.0387 memory: 13619 grad_norm: 3.8368 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4921 loss: 1.4921 2022/08/01 02:58:02 - mmengine - INFO - Epoch(train) [19][900/940] lr: 1.0000e-02 eta: 16:29:47 time: 0.8156 data_time: 0.0411 memory: 13619 grad_norm: 3.9325 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6736 loss: 1.6736 2022/08/01 02:58:16 - mmengine - INFO - Epoch(train) [19][920/940] lr: 1.0000e-02 eta: 16:29:28 time: 0.7446 data_time: 0.0414 memory: 13619 grad_norm: 3.8778 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4926 loss: 1.4926 2022/08/01 02:58:31 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 02:58:31 - mmengine - INFO - Epoch(train) [19][940/940] lr: 1.0000e-02 eta: 16:29:08 time: 0.7184 data_time: 0.0285 memory: 13619 grad_norm: 4.1601 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.5225 loss: 1.5225 2022/08/01 02:58:48 - mmengine - INFO - Epoch(val) [19][20/78] eta: 0:00:49 time: 0.8557 data_time: 0.7624 memory: 2186 2022/08/01 02:59:01 - mmengine - INFO - Epoch(val) [19][40/78] eta: 0:00:24 time: 0.6353 data_time: 0.5207 memory: 2186 2022/08/01 02:59:17 - mmengine - INFO - Epoch(val) [19][60/78] eta: 0:00:14 time: 0.7925 data_time: 0.6976 memory: 2186 2022/08/01 02:59:30 - mmengine - INFO - Epoch(val) [19][78/78] acc/top1: 0.6547 acc/top5: 0.8648 acc/mean1: 0.6545 2022/08/01 02:59:50 - mmengine - INFO - Epoch(train) [20][20/940] lr: 1.0000e-02 eta: 16:29:10 time: 0.9881 data_time: 0.4619 memory: 13619 grad_norm: 3.8087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3328 loss: 1.3328 2022/08/01 03:00:03 - mmengine - INFO - Epoch(train) [20][40/940] lr: 1.0000e-02 eta: 16:28:46 time: 0.6843 data_time: 0.1681 memory: 13619 grad_norm: 3.8030 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4308 loss: 1.4308 2022/08/01 03:00:21 - mmengine - INFO - Epoch(train) [20][60/940] lr: 1.0000e-02 eta: 16:28:38 time: 0.8618 data_time: 0.2121 memory: 13619 grad_norm: 3.8602 top1_acc: 0.7188 top5_acc: 0.7500 loss_cls: 1.3589 loss: 1.3589 2022/08/01 03:00:34 - mmengine - INFO - Epoch(train) [20][80/940] lr: 1.0000e-02 eta: 16:28:13 time: 0.6709 data_time: 0.0657 memory: 13619 grad_norm: 3.9032 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4505 loss: 1.4505 2022/08/01 03:00:51 - mmengine - INFO - Epoch(train) [20][100/940] lr: 1.0000e-02 eta: 16:28:05 time: 0.8723 data_time: 0.0482 memory: 13619 grad_norm: 3.8898 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.5553 loss: 1.5553 2022/08/01 03:01:06 - mmengine - INFO - Epoch(train) [20][120/940] lr: 1.0000e-02 eta: 16:27:44 time: 0.7118 data_time: 0.0319 memory: 13619 grad_norm: 3.7731 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4855 loss: 1.4855 2022/08/01 03:01:22 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 03:01:22 - mmengine - INFO - Epoch(train) [20][140/940] lr: 1.0000e-02 eta: 16:27:32 time: 0.8264 data_time: 0.0452 memory: 13619 grad_norm: 3.7084 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3079 loss: 1.3079 2022/08/01 03:01:36 - mmengine - INFO - Epoch(train) [20][160/940] lr: 1.0000e-02 eta: 16:27:09 time: 0.6859 data_time: 0.0324 memory: 13619 grad_norm: 3.9456 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4633 loss: 1.4633 2022/08/01 03:01:52 - mmengine - INFO - Epoch(train) [20][180/940] lr: 1.0000e-02 eta: 16:26:57 time: 0.8271 data_time: 0.0387 memory: 13619 grad_norm: 3.7499 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3625 loss: 1.3625 2022/08/01 03:02:06 - mmengine - INFO - Epoch(train) [20][200/940] lr: 1.0000e-02 eta: 16:26:32 time: 0.6652 data_time: 0.0303 memory: 13619 grad_norm: 3.9164 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4704 loss: 1.4704 2022/08/01 03:02:24 - mmengine - INFO - Epoch(train) [20][220/940] lr: 1.0000e-02 eta: 16:26:28 time: 0.9193 data_time: 0.0389 memory: 13619 grad_norm: 3.8263 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.3777 loss: 1.3777 2022/08/01 03:02:37 - mmengine - INFO - Epoch(train) [20][240/940] lr: 1.0000e-02 eta: 16:26:00 time: 0.6298 data_time: 0.0455 memory: 13619 grad_norm: 3.8813 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3801 loss: 1.3801 2022/08/01 03:02:54 - mmengine - INFO - Epoch(train) [20][260/940] lr: 1.0000e-02 eta: 16:25:52 time: 0.8745 data_time: 0.0354 memory: 13619 grad_norm: 3.8529 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5570 loss: 1.5570 2022/08/01 03:03:08 - mmengine - INFO - Epoch(train) [20][280/940] lr: 1.0000e-02 eta: 16:25:28 time: 0.6792 data_time: 0.0366 memory: 13619 grad_norm: 3.9416 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.5964 loss: 1.5964 2022/08/01 03:03:25 - mmengine - INFO - Epoch(train) [20][300/940] lr: 1.0000e-02 eta: 16:25:21 time: 0.8841 data_time: 0.0354 memory: 13619 grad_norm: 4.0152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5663 loss: 1.5663 2022/08/01 03:03:39 - mmengine - INFO - Epoch(train) [20][320/940] lr: 1.0000e-02 eta: 16:24:57 time: 0.6788 data_time: 0.0491 memory: 13619 grad_norm: 3.8508 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3428 loss: 1.3428 2022/08/01 03:03:58 - mmengine - INFO - Epoch(train) [20][340/940] lr: 1.0000e-02 eta: 16:24:54 time: 0.9262 data_time: 0.0331 memory: 13619 grad_norm: 3.8500 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4644 loss: 1.4644 2022/08/01 03:04:11 - mmengine - INFO - Epoch(train) [20][360/940] lr: 1.0000e-02 eta: 16:24:30 time: 0.6754 data_time: 0.0451 memory: 13619 grad_norm: 3.8907 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4352 loss: 1.4352 2022/08/01 03:04:28 - mmengine - INFO - Epoch(train) [20][380/940] lr: 1.0000e-02 eta: 16:24:19 time: 0.8441 data_time: 0.0438 memory: 13619 grad_norm: 3.8948 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4824 loss: 1.4824 2022/08/01 03:04:42 - mmengine - INFO - Epoch(train) [20][400/940] lr: 1.0000e-02 eta: 16:23:56 time: 0.6831 data_time: 0.0402 memory: 13619 grad_norm: 4.0193 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4649 loss: 1.4649 2022/08/01 03:04:59 - mmengine - INFO - Epoch(train) [20][420/940] lr: 1.0000e-02 eta: 16:23:49 time: 0.8905 data_time: 0.0405 memory: 13619 grad_norm: 3.8166 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.4886 loss: 1.4886 2022/08/01 03:05:12 - mmengine - INFO - Epoch(train) [20][440/940] lr: 1.0000e-02 eta: 16:23:23 time: 0.6456 data_time: 0.0399 memory: 13619 grad_norm: 3.8306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5447 loss: 1.5447 2022/08/01 03:05:30 - mmengine - INFO - Epoch(train) [20][460/940] lr: 1.0000e-02 eta: 16:23:16 time: 0.8906 data_time: 0.0381 memory: 13619 grad_norm: 3.8806 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4608 loss: 1.4608 2022/08/01 03:05:44 - mmengine - INFO - Epoch(train) [20][480/940] lr: 1.0000e-02 eta: 16:22:55 time: 0.7055 data_time: 0.0385 memory: 13619 grad_norm: 3.9184 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5100 loss: 1.5100 2022/08/01 03:06:00 - mmengine - INFO - Epoch(train) [20][500/940] lr: 1.0000e-02 eta: 16:22:38 time: 0.7720 data_time: 0.0520 memory: 13619 grad_norm: 3.9432 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5103 loss: 1.5103 2022/08/01 03:06:13 - mmengine - INFO - Epoch(train) [20][520/940] lr: 1.0000e-02 eta: 16:22:13 time: 0.6655 data_time: 0.0404 memory: 13619 grad_norm: 3.9919 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.5608 loss: 1.5608 2022/08/01 03:06:29 - mmengine - INFO - Epoch(train) [20][540/940] lr: 1.0000e-02 eta: 16:21:58 time: 0.7861 data_time: 0.0341 memory: 13619 grad_norm: 3.9143 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4740 loss: 1.4740 2022/08/01 03:06:42 - mmengine - INFO - Epoch(train) [20][560/940] lr: 1.0000e-02 eta: 16:21:34 time: 0.6695 data_time: 0.0420 memory: 13619 grad_norm: 3.9262 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4781 loss: 1.4781 2022/08/01 03:06:59 - mmengine - INFO - Epoch(train) [20][580/940] lr: 1.0000e-02 eta: 16:21:25 time: 0.8645 data_time: 0.0352 memory: 13619 grad_norm: 3.9051 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4665 loss: 1.4665 2022/08/01 03:07:13 - mmengine - INFO - Epoch(train) [20][600/940] lr: 1.0000e-02 eta: 16:21:03 time: 0.6925 data_time: 0.0402 memory: 13619 grad_norm: 3.7999 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6017 loss: 1.6017 2022/08/01 03:07:31 - mmengine - INFO - Epoch(train) [20][620/940] lr: 1.0000e-02 eta: 16:20:55 time: 0.8766 data_time: 0.0412 memory: 13619 grad_norm: 3.7686 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3617 loss: 1.3617 2022/08/01 03:07:45 - mmengine - INFO - Epoch(train) [20][640/940] lr: 1.0000e-02 eta: 16:20:34 time: 0.7101 data_time: 0.0325 memory: 13619 grad_norm: 3.9474 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4278 loss: 1.4278 2022/08/01 03:08:01 - mmengine - INFO - Epoch(train) [20][660/940] lr: 1.0000e-02 eta: 16:20:21 time: 0.8205 data_time: 0.1641 memory: 13619 grad_norm: 3.9792 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4978 loss: 1.4978 2022/08/01 03:08:15 - mmengine - INFO - Epoch(train) [20][680/940] lr: 1.0000e-02 eta: 16:19:59 time: 0.6960 data_time: 0.1586 memory: 13619 grad_norm: 3.8734 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3325 loss: 1.3325 2022/08/01 03:08:32 - mmengine - INFO - Epoch(train) [20][700/940] lr: 1.0000e-02 eta: 16:19:47 time: 0.8279 data_time: 0.1131 memory: 13619 grad_norm: 3.9414 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.4348 loss: 1.4348 2022/08/01 03:08:46 - mmengine - INFO - Epoch(train) [20][720/940] lr: 1.0000e-02 eta: 16:19:27 time: 0.7141 data_time: 0.1024 memory: 13619 grad_norm: 3.8386 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3860 loss: 1.3860 2022/08/01 03:09:04 - mmengine - INFO - Epoch(train) [20][740/940] lr: 1.0000e-02 eta: 16:19:18 time: 0.8697 data_time: 0.0585 memory: 13619 grad_norm: 3.9394 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3643 loss: 1.3643 2022/08/01 03:09:18 - mmengine - INFO - Epoch(train) [20][760/940] lr: 1.0000e-02 eta: 16:18:57 time: 0.7073 data_time: 0.0764 memory: 13619 grad_norm: 4.0029 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4709 loss: 1.4709 2022/08/01 03:09:35 - mmengine - INFO - Epoch(train) [20][780/940] lr: 1.0000e-02 eta: 16:18:49 time: 0.8733 data_time: 0.0303 memory: 13619 grad_norm: 3.9382 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5027 loss: 1.5027 2022/08/01 03:09:48 - mmengine - INFO - Epoch(train) [20][800/940] lr: 1.0000e-02 eta: 16:18:24 time: 0.6590 data_time: 0.0518 memory: 13619 grad_norm: 3.9741 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5680 loss: 1.5680 2022/08/01 03:10:06 - mmengine - INFO - Epoch(train) [20][820/940] lr: 1.0000e-02 eta: 16:18:15 time: 0.8620 data_time: 0.0298 memory: 13619 grad_norm: 3.8790 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5057 loss: 1.5057 2022/08/01 03:10:18 - mmengine - INFO - Epoch(train) [20][840/940] lr: 1.0000e-02 eta: 16:17:48 time: 0.6424 data_time: 0.0398 memory: 13619 grad_norm: 3.8828 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4954 loss: 1.4954 2022/08/01 03:10:34 - mmengine - INFO - Epoch(train) [20][860/940] lr: 1.0000e-02 eta: 16:17:33 time: 0.7877 data_time: 0.0282 memory: 13619 grad_norm: 3.8587 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5541 loss: 1.5541 2022/08/01 03:10:49 - mmengine - INFO - Epoch(train) [20][880/940] lr: 1.0000e-02 eta: 16:17:13 time: 0.7178 data_time: 0.1287 memory: 13619 grad_norm: 3.9097 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5217 loss: 1.5217 2022/08/01 03:11:05 - mmengine - INFO - Epoch(train) [20][900/940] lr: 1.0000e-02 eta: 16:17:00 time: 0.8109 data_time: 0.1040 memory: 13619 grad_norm: 3.8694 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4316 loss: 1.4316 2022/08/01 03:11:20 - mmengine - INFO - Epoch(train) [20][920/940] lr: 1.0000e-02 eta: 16:16:41 time: 0.7423 data_time: 0.2152 memory: 13619 grad_norm: 3.8864 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5271 loss: 1.5271 2022/08/01 03:11:35 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 03:11:35 - mmengine - INFO - Epoch(train) [20][940/940] lr: 1.0000e-02 eta: 16:16:24 time: 0.7531 data_time: 0.0371 memory: 13619 grad_norm: 4.0959 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.4931 loss: 1.4931 2022/08/01 03:11:52 - mmengine - INFO - Epoch(val) [20][20/78] eta: 0:00:49 time: 0.8491 data_time: 0.7560 memory: 2186 2022/08/01 03:12:04 - mmengine - INFO - Epoch(val) [20][40/78] eta: 0:00:22 time: 0.6000 data_time: 0.5090 memory: 2186 2022/08/01 03:12:21 - mmengine - INFO - Epoch(val) [20][60/78] eta: 0:00:15 time: 0.8397 data_time: 0.7479 memory: 2186 2022/08/01 03:12:35 - mmengine - INFO - Epoch(val) [20][78/78] acc/top1: 0.6575 acc/top5: 0.8698 acc/mean1: 0.6573 2022/08/01 03:12:55 - mmengine - INFO - Epoch(train) [21][20/940] lr: 1.0000e-02 eta: 16:16:26 time: 1.0074 data_time: 0.5799 memory: 13619 grad_norm: 3.9170 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4926 loss: 1.4926 2022/08/01 03:13:08 - mmengine - INFO - Epoch(train) [21][40/940] lr: 1.0000e-02 eta: 16:16:01 time: 0.6635 data_time: 0.3273 memory: 13619 grad_norm: 3.8778 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5216 loss: 1.5216 2022/08/01 03:13:26 - mmengine - INFO - Epoch(train) [21][60/940] lr: 1.0000e-02 eta: 16:15:53 time: 0.8735 data_time: 0.5325 memory: 13619 grad_norm: 3.8291 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4046 loss: 1.4046 2022/08/01 03:13:40 - mmengine - INFO - Epoch(train) [21][80/940] lr: 1.0000e-02 eta: 16:15:33 time: 0.7185 data_time: 0.2233 memory: 13619 grad_norm: 3.8718 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4537 loss: 1.4537 2022/08/01 03:13:57 - mmengine - INFO - Epoch(train) [21][100/940] lr: 1.0000e-02 eta: 16:15:23 time: 0.8478 data_time: 0.1841 memory: 13619 grad_norm: 3.7380 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4668 loss: 1.4668 2022/08/01 03:14:10 - mmengine - INFO - Epoch(train) [21][120/940] lr: 1.0000e-02 eta: 16:14:58 time: 0.6597 data_time: 0.1373 memory: 13619 grad_norm: 3.8622 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.5479 loss: 1.5479 2022/08/01 03:14:27 - mmengine - INFO - Epoch(train) [21][140/940] lr: 1.0000e-02 eta: 16:14:49 time: 0.8651 data_time: 0.2040 memory: 13619 grad_norm: 3.8393 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3049 loss: 1.3049 2022/08/01 03:14:41 - mmengine - INFO - Epoch(train) [21][160/940] lr: 1.0000e-02 eta: 16:14:25 time: 0.6775 data_time: 0.1132 memory: 13619 grad_norm: 3.9068 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5691 loss: 1.5691 2022/08/01 03:14:58 - mmengine - INFO - Epoch(train) [21][180/940] lr: 1.0000e-02 eta: 16:14:16 time: 0.8603 data_time: 0.0987 memory: 13619 grad_norm: 3.9838 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4927 loss: 1.4927 2022/08/01 03:15:12 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 03:15:12 - mmengine - INFO - Epoch(train) [21][200/940] lr: 1.0000e-02 eta: 16:13:54 time: 0.6962 data_time: 0.0575 memory: 13619 grad_norm: 3.9055 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4708 loss: 1.4708 2022/08/01 03:15:30 - mmengine - INFO - Epoch(train) [21][220/940] lr: 1.0000e-02 eta: 16:13:48 time: 0.8980 data_time: 0.0372 memory: 13619 grad_norm: 3.9002 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4365 loss: 1.4365 2022/08/01 03:15:44 - mmengine - INFO - Epoch(train) [21][240/940] lr: 1.0000e-02 eta: 16:13:26 time: 0.7026 data_time: 0.0358 memory: 13619 grad_norm: 3.9146 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4600 loss: 1.4600 2022/08/01 03:16:01 - mmengine - INFO - Epoch(train) [21][260/940] lr: 1.0000e-02 eta: 16:13:15 time: 0.8306 data_time: 0.0362 memory: 13619 grad_norm: 3.9041 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3961 loss: 1.3961 2022/08/01 03:16:14 - mmengine - INFO - Epoch(train) [21][280/940] lr: 1.0000e-02 eta: 16:12:51 time: 0.6720 data_time: 0.0395 memory: 13619 grad_norm: 3.9913 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.4842 loss: 1.4842 2022/08/01 03:16:31 - mmengine - INFO - Epoch(train) [21][300/940] lr: 1.0000e-02 eta: 16:12:39 time: 0.8322 data_time: 0.0429 memory: 13619 grad_norm: 3.9670 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.5428 loss: 1.5428 2022/08/01 03:16:46 - mmengine - INFO - Epoch(train) [21][320/940] lr: 1.0000e-02 eta: 16:12:21 time: 0.7482 data_time: 0.0346 memory: 13619 grad_norm: 3.8702 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5432 loss: 1.5432 2022/08/01 03:17:02 - mmengine - INFO - Epoch(train) [21][340/940] lr: 1.0000e-02 eta: 16:12:07 time: 0.7917 data_time: 0.0388 memory: 13619 grad_norm: 3.8809 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3531 loss: 1.3531 2022/08/01 03:17:15 - mmengine - INFO - Epoch(train) [21][360/940] lr: 1.0000e-02 eta: 16:11:43 time: 0.6749 data_time: 0.0425 memory: 13619 grad_norm: 3.8866 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5668 loss: 1.5668 2022/08/01 03:17:32 - mmengine - INFO - Epoch(train) [21][380/940] lr: 1.0000e-02 eta: 16:11:31 time: 0.8322 data_time: 0.0488 memory: 13619 grad_norm: 3.9340 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4575 loss: 1.4575 2022/08/01 03:17:46 - mmengine - INFO - Epoch(train) [21][400/940] lr: 1.0000e-02 eta: 16:11:09 time: 0.6878 data_time: 0.0333 memory: 13619 grad_norm: 3.8745 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4000 loss: 1.4000 2022/08/01 03:18:02 - mmengine - INFO - Epoch(train) [21][420/940] lr: 1.0000e-02 eta: 16:10:56 time: 0.8214 data_time: 0.0412 memory: 13619 grad_norm: 3.9336 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5391 loss: 1.5391 2022/08/01 03:18:16 - mmengine - INFO - Epoch(train) [21][440/940] lr: 1.0000e-02 eta: 16:10:36 time: 0.7183 data_time: 0.0369 memory: 13619 grad_norm: 3.9161 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5100 loss: 1.5100 2022/08/01 03:18:33 - mmengine - INFO - Epoch(train) [21][460/940] lr: 1.0000e-02 eta: 16:10:24 time: 0.8224 data_time: 0.0480 memory: 13619 grad_norm: 3.8836 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5036 loss: 1.5036 2022/08/01 03:18:47 - mmengine - INFO - Epoch(train) [21][480/940] lr: 1.0000e-02 eta: 16:10:02 time: 0.7026 data_time: 0.0340 memory: 13619 grad_norm: 3.9155 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.4223 loss: 1.4223 2022/08/01 03:19:03 - mmengine - INFO - Epoch(train) [21][500/940] lr: 1.0000e-02 eta: 16:09:51 time: 0.8278 data_time: 0.0381 memory: 13619 grad_norm: 3.8333 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.4162 loss: 1.4162 2022/08/01 03:19:18 - mmengine - INFO - Epoch(train) [21][520/940] lr: 1.0000e-02 eta: 16:09:32 time: 0.7349 data_time: 0.0400 memory: 13619 grad_norm: 3.9093 top1_acc: 0.7188 top5_acc: 0.7500 loss_cls: 1.5157 loss: 1.5157 2022/08/01 03:19:33 - mmengine - INFO - Epoch(train) [21][540/940] lr: 1.0000e-02 eta: 16:09:15 time: 0.7641 data_time: 0.0361 memory: 13619 grad_norm: 3.8903 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3591 loss: 1.3591 2022/08/01 03:19:51 - mmengine - INFO - Epoch(train) [21][560/940] lr: 1.0000e-02 eta: 16:09:07 time: 0.8834 data_time: 0.0372 memory: 13619 grad_norm: 3.9468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6189 loss: 1.6189 2022/08/01 03:20:05 - mmengine - INFO - Epoch(train) [21][580/940] lr: 1.0000e-02 eta: 16:08:46 time: 0.7031 data_time: 0.0388 memory: 13619 grad_norm: 3.9145 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4940 loss: 1.4940 2022/08/01 03:20:21 - mmengine - INFO - Epoch(train) [21][600/940] lr: 1.0000e-02 eta: 16:08:32 time: 0.8034 data_time: 0.0354 memory: 13619 grad_norm: 3.9037 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3384 loss: 1.3384 2022/08/01 03:20:36 - mmengine - INFO - Epoch(train) [21][620/940] lr: 1.0000e-02 eta: 16:08:13 time: 0.7277 data_time: 0.0385 memory: 13619 grad_norm: 3.8897 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4515 loss: 1.4515 2022/08/01 03:20:52 - mmengine - INFO - Epoch(train) [21][640/940] lr: 1.0000e-02 eta: 16:08:01 time: 0.8265 data_time: 0.0309 memory: 13619 grad_norm: 3.9676 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6279 loss: 1.6279 2022/08/01 03:21:07 - mmengine - INFO - Epoch(train) [21][660/940] lr: 1.0000e-02 eta: 16:07:43 time: 0.7561 data_time: 0.0391 memory: 13619 grad_norm: 3.8173 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5344 loss: 1.5344 2022/08/01 03:21:23 - mmengine - INFO - Epoch(train) [21][680/940] lr: 1.0000e-02 eta: 16:07:30 time: 0.8020 data_time: 0.0465 memory: 13619 grad_norm: 3.8260 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5639 loss: 1.5639 2022/08/01 03:21:37 - mmengine - INFO - Epoch(train) [21][700/940] lr: 1.0000e-02 eta: 16:07:07 time: 0.6915 data_time: 0.0370 memory: 13619 grad_norm: 3.8634 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5453 loss: 1.5453 2022/08/01 03:21:55 - mmengine - INFO - Epoch(train) [21][720/940] lr: 1.0000e-02 eta: 16:06:58 time: 0.8617 data_time: 0.0349 memory: 13619 grad_norm: 4.0402 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4650 loss: 1.4650 2022/08/01 03:22:09 - mmengine - INFO - Epoch(train) [21][740/940] lr: 1.0000e-02 eta: 16:06:39 time: 0.7333 data_time: 0.0352 memory: 13619 grad_norm: 3.9988 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4920 loss: 1.4920 2022/08/01 03:22:26 - mmengine - INFO - Epoch(train) [21][760/940] lr: 1.0000e-02 eta: 16:06:27 time: 0.8273 data_time: 0.0425 memory: 13619 grad_norm: 3.9580 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5007 loss: 1.5007 2022/08/01 03:22:38 - mmengine - INFO - Epoch(train) [21][780/940] lr: 1.0000e-02 eta: 16:06:01 time: 0.6336 data_time: 0.0365 memory: 13619 grad_norm: 3.9174 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4539 loss: 1.4539 2022/08/01 03:22:56 - mmengine - INFO - Epoch(train) [21][800/940] lr: 1.0000e-02 eta: 16:05:53 time: 0.8826 data_time: 0.0376 memory: 13619 grad_norm: 3.8624 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3559 loss: 1.3559 2022/08/01 03:23:10 - mmengine - INFO - Epoch(train) [21][820/940] lr: 1.0000e-02 eta: 16:05:31 time: 0.6900 data_time: 0.0362 memory: 13619 grad_norm: 3.9384 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4794 loss: 1.4794 2022/08/01 03:23:28 - mmengine - INFO - Epoch(train) [21][840/940] lr: 1.0000e-02 eta: 16:05:23 time: 0.8832 data_time: 0.0366 memory: 13619 grad_norm: 3.9436 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5391 loss: 1.5391 2022/08/01 03:23:41 - mmengine - INFO - Epoch(train) [21][860/940] lr: 1.0000e-02 eta: 16:04:58 time: 0.6565 data_time: 0.0382 memory: 13619 grad_norm: 3.9361 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.4020 loss: 1.4020 2022/08/01 03:23:57 - mmengine - INFO - Epoch(train) [21][880/940] lr: 1.0000e-02 eta: 16:04:47 time: 0.8334 data_time: 0.0357 memory: 13619 grad_norm: 3.9503 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5666 loss: 1.5666 2022/08/01 03:24:11 - mmengine - INFO - Epoch(train) [21][900/940] lr: 1.0000e-02 eta: 16:04:25 time: 0.6942 data_time: 0.0512 memory: 13619 grad_norm: 3.8269 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5074 loss: 1.5074 2022/08/01 03:24:27 - mmengine - INFO - Epoch(train) [21][920/940] lr: 1.0000e-02 eta: 16:04:10 time: 0.7962 data_time: 0.0291 memory: 13619 grad_norm: 3.9626 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.4146 loss: 1.4146 2022/08/01 03:24:40 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 03:24:40 - mmengine - INFO - Epoch(train) [21][940/940] lr: 1.0000e-02 eta: 16:03:43 time: 0.6260 data_time: 0.0283 memory: 13619 grad_norm: 4.0433 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.5800 loss: 1.5800 2022/08/01 03:24:40 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/01 03:24:59 - mmengine - INFO - Epoch(val) [21][20/78] eta: 0:00:50 time: 0.8678 data_time: 0.7781 memory: 2186 2022/08/01 03:25:11 - mmengine - INFO - Epoch(val) [21][40/78] eta: 0:00:23 time: 0.6132 data_time: 0.5194 memory: 2186 2022/08/01 03:25:28 - mmengine - INFO - Epoch(val) [21][60/78] eta: 0:00:14 time: 0.8295 data_time: 0.7378 memory: 2186 2022/08/01 03:25:40 - mmengine - INFO - Epoch(val) [21][78/78] acc/top1: 0.6609 acc/top5: 0.8700 acc/mean1: 0.6609 2022/08/01 03:26:00 - mmengine - INFO - Epoch(train) [22][20/940] lr: 1.0000e-02 eta: 16:03:43 time: 0.9790 data_time: 0.5662 memory: 13619 grad_norm: 3.9048 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5286 loss: 1.5286 2022/08/01 03:26:13 - mmengine - INFO - Epoch(train) [22][40/940] lr: 1.0000e-02 eta: 16:03:19 time: 0.6699 data_time: 0.2394 memory: 13619 grad_norm: 3.9065 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3089 loss: 1.3089 2022/08/01 03:26:31 - mmengine - INFO - Epoch(train) [22][60/940] lr: 1.0000e-02 eta: 16:03:10 time: 0.8671 data_time: 0.2479 memory: 13619 grad_norm: 3.8311 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3954 loss: 1.3954 2022/08/01 03:26:46 - mmengine - INFO - Epoch(train) [22][80/940] lr: 1.0000e-02 eta: 16:02:54 time: 0.7698 data_time: 0.1289 memory: 13619 grad_norm: 3.8456 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.4705 loss: 1.4705 2022/08/01 03:27:03 - mmengine - INFO - Epoch(train) [22][100/940] lr: 1.0000e-02 eta: 16:02:41 time: 0.8167 data_time: 0.0356 memory: 13619 grad_norm: 3.8702 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4403 loss: 1.4403 2022/08/01 03:27:16 - mmengine - INFO - Epoch(train) [22][120/940] lr: 1.0000e-02 eta: 16:02:19 time: 0.6917 data_time: 0.0401 memory: 13619 grad_norm: 3.9423 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4737 loss: 1.4737 2022/08/01 03:27:34 - mmengine - INFO - Epoch(train) [22][140/940] lr: 1.0000e-02 eta: 16:02:09 time: 0.8588 data_time: 0.0369 memory: 13619 grad_norm: 3.9142 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4297 loss: 1.4297 2022/08/01 03:27:48 - mmengine - INFO - Epoch(train) [22][160/940] lr: 1.0000e-02 eta: 16:01:49 time: 0.7098 data_time: 0.0393 memory: 13619 grad_norm: 4.0098 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5241 loss: 1.5241 2022/08/01 03:28:04 - mmengine - INFO - Epoch(train) [22][180/940] lr: 1.0000e-02 eta: 16:01:34 time: 0.7892 data_time: 0.0379 memory: 13619 grad_norm: 3.8847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2547 loss: 1.2547 2022/08/01 03:28:17 - mmengine - INFO - Epoch(train) [22][200/940] lr: 1.0000e-02 eta: 16:01:09 time: 0.6500 data_time: 0.0388 memory: 13619 grad_norm: 3.9140 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4445 loss: 1.4445 2022/08/01 03:28:33 - mmengine - INFO - Epoch(train) [22][220/940] lr: 1.0000e-02 eta: 16:00:57 time: 0.8291 data_time: 0.0394 memory: 13619 grad_norm: 3.9299 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4646 loss: 1.4646 2022/08/01 03:28:47 - mmengine - INFO - Epoch(train) [22][240/940] lr: 1.0000e-02 eta: 16:00:34 time: 0.6815 data_time: 0.0490 memory: 13619 grad_norm: 3.9295 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3866 loss: 1.3866 2022/08/01 03:29:04 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 03:29:04 - mmengine - INFO - Epoch(train) [22][260/940] lr: 1.0000e-02 eta: 16:00:26 time: 0.8823 data_time: 0.0566 memory: 13619 grad_norm: 3.8673 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4017 loss: 1.4017 2022/08/01 03:29:19 - mmengine - INFO - Epoch(train) [22][280/940] lr: 1.0000e-02 eta: 16:00:07 time: 0.7340 data_time: 0.0567 memory: 13619 grad_norm: 3.8613 top1_acc: 0.6562 top5_acc: 1.0000 loss_cls: 1.3633 loss: 1.3633 2022/08/01 03:29:36 - mmengine - INFO - Epoch(train) [22][300/940] lr: 1.0000e-02 eta: 15:59:58 time: 0.8635 data_time: 0.0382 memory: 13619 grad_norm: 3.8835 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.4358 loss: 1.4358 2022/08/01 03:29:50 - mmengine - INFO - Epoch(train) [22][320/940] lr: 1.0000e-02 eta: 15:59:36 time: 0.6974 data_time: 0.0434 memory: 13619 grad_norm: 3.9568 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4430 loss: 1.4430 2022/08/01 03:30:06 - mmengine - INFO - Epoch(train) [22][340/940] lr: 1.0000e-02 eta: 15:59:23 time: 0.8090 data_time: 0.0410 memory: 13619 grad_norm: 3.8246 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3859 loss: 1.3859 2022/08/01 03:30:20 - mmengine - INFO - Epoch(train) [22][360/940] lr: 1.0000e-02 eta: 15:59:00 time: 0.6772 data_time: 0.0382 memory: 13619 grad_norm: 3.9083 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4318 loss: 1.4318 2022/08/01 03:30:36 - mmengine - INFO - Epoch(train) [22][380/940] lr: 1.0000e-02 eta: 15:58:48 time: 0.8214 data_time: 0.0334 memory: 13619 grad_norm: 3.9744 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4764 loss: 1.4764 2022/08/01 03:30:50 - mmengine - INFO - Epoch(train) [22][400/940] lr: 1.0000e-02 eta: 15:58:24 time: 0.6695 data_time: 0.0379 memory: 13619 grad_norm: 3.9302 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3664 loss: 1.3664 2022/08/01 03:31:08 - mmengine - INFO - Epoch(train) [22][420/940] lr: 1.0000e-02 eta: 15:58:17 time: 0.8994 data_time: 0.0376 memory: 13619 grad_norm: 3.9954 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4311 loss: 1.4311 2022/08/01 03:31:21 - mmengine - INFO - Epoch(train) [22][440/940] lr: 1.0000e-02 eta: 15:57:54 time: 0.6726 data_time: 0.0332 memory: 13619 grad_norm: 3.9062 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4007 loss: 1.4007 2022/08/01 03:31:38 - mmengine - INFO - Epoch(train) [22][460/940] lr: 1.0000e-02 eta: 15:57:44 time: 0.8564 data_time: 0.0346 memory: 13619 grad_norm: 3.8140 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4647 loss: 1.4647 2022/08/01 03:31:51 - mmengine - INFO - Epoch(train) [22][480/940] lr: 1.0000e-02 eta: 15:57:19 time: 0.6475 data_time: 0.0501 memory: 13619 grad_norm: 3.8661 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4003 loss: 1.4003 2022/08/01 03:32:08 - mmengine - INFO - Epoch(train) [22][500/940] lr: 1.0000e-02 eta: 15:57:06 time: 0.8158 data_time: 0.0391 memory: 13619 grad_norm: 3.8390 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3886 loss: 1.3886 2022/08/01 03:32:23 - mmengine - INFO - Epoch(train) [22][520/940] lr: 1.0000e-02 eta: 15:56:49 time: 0.7619 data_time: 0.0384 memory: 13619 grad_norm: 4.0080 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3797 loss: 1.3797 2022/08/01 03:32:38 - mmengine - INFO - Epoch(train) [22][540/940] lr: 1.0000e-02 eta: 15:56:30 time: 0.7341 data_time: 0.0436 memory: 13619 grad_norm: 3.9628 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.6057 loss: 1.6057 2022/08/01 03:32:54 - mmengine - INFO - Epoch(train) [22][560/940] lr: 1.0000e-02 eta: 15:56:16 time: 0.7977 data_time: 0.0399 memory: 13619 grad_norm: 4.0445 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4453 loss: 1.4453 2022/08/01 03:33:09 - mmengine - INFO - Epoch(train) [22][580/940] lr: 1.0000e-02 eta: 15:55:59 time: 0.7482 data_time: 0.0332 memory: 13619 grad_norm: 3.8782 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.4692 loss: 1.4692 2022/08/01 03:33:25 - mmengine - INFO - Epoch(train) [22][600/940] lr: 1.0000e-02 eta: 15:55:45 time: 0.8060 data_time: 0.0378 memory: 13619 grad_norm: 3.9848 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5123 loss: 1.5123 2022/08/01 03:33:40 - mmengine - INFO - Epoch(train) [22][620/940] lr: 1.0000e-02 eta: 15:55:27 time: 0.7502 data_time: 0.0338 memory: 13619 grad_norm: 3.9627 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5157 loss: 1.5157 2022/08/01 03:33:54 - mmengine - INFO - Epoch(train) [22][640/940] lr: 1.0000e-02 eta: 15:55:07 time: 0.7158 data_time: 0.0517 memory: 13619 grad_norm: 3.9648 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.4612 loss: 1.4612 2022/08/01 03:34:19 - mmengine - INFO - Epoch(train) [22][660/940] lr: 1.0000e-02 eta: 15:55:24 time: 1.2290 data_time: 0.0332 memory: 13619 grad_norm: 3.8852 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4185 loss: 1.4185 2022/08/01 03:34:32 - mmengine - INFO - Epoch(train) [22][680/940] lr: 1.0000e-02 eta: 15:55:02 time: 0.6886 data_time: 0.0344 memory: 13619 grad_norm: 3.8595 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4507 loss: 1.4507 2022/08/01 03:34:49 - mmengine - INFO - Epoch(train) [22][700/940] lr: 1.0000e-02 eta: 15:54:51 time: 0.8379 data_time: 0.0364 memory: 13619 grad_norm: 3.8165 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4167 loss: 1.4167 2022/08/01 03:35:04 - mmengine - INFO - Epoch(train) [22][720/940] lr: 1.0000e-02 eta: 15:54:31 time: 0.7244 data_time: 0.0387 memory: 13619 grad_norm: 3.9450 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4301 loss: 1.4301 2022/08/01 03:35:20 - mmengine - INFO - Epoch(train) [22][740/940] lr: 1.0000e-02 eta: 15:54:19 time: 0.8275 data_time: 0.0363 memory: 13619 grad_norm: 3.9864 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4833 loss: 1.4833 2022/08/01 03:35:33 - mmengine - INFO - Epoch(train) [22][760/940] lr: 1.0000e-02 eta: 15:53:55 time: 0.6554 data_time: 0.0368 memory: 13619 grad_norm: 3.9823 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4828 loss: 1.4828 2022/08/01 03:35:49 - mmengine - INFO - Epoch(train) [22][780/940] lr: 1.0000e-02 eta: 15:53:41 time: 0.8024 data_time: 0.0385 memory: 13619 grad_norm: 3.9084 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4590 loss: 1.4590 2022/08/01 03:36:03 - mmengine - INFO - Epoch(train) [22][800/940] lr: 1.0000e-02 eta: 15:53:18 time: 0.6813 data_time: 0.0427 memory: 13619 grad_norm: 3.9958 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3809 loss: 1.3809 2022/08/01 03:36:20 - mmengine - INFO - Epoch(train) [22][820/940] lr: 1.0000e-02 eta: 15:53:08 time: 0.8570 data_time: 0.0341 memory: 13619 grad_norm: 4.0027 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3027 loss: 1.3027 2022/08/01 03:36:33 - mmengine - INFO - Epoch(train) [22][840/940] lr: 1.0000e-02 eta: 15:52:44 time: 0.6509 data_time: 0.0363 memory: 13619 grad_norm: 4.0487 top1_acc: 0.5938 top5_acc: 1.0000 loss_cls: 1.4778 loss: 1.4778 2022/08/01 03:36:49 - mmengine - INFO - Epoch(train) [22][860/940] lr: 1.0000e-02 eta: 15:52:29 time: 0.7910 data_time: 0.0327 memory: 13619 grad_norm: 3.8686 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3732 loss: 1.3732 2022/08/01 03:37:04 - mmengine - INFO - Epoch(train) [22][880/940] lr: 1.0000e-02 eta: 15:52:11 time: 0.7378 data_time: 0.0482 memory: 13619 grad_norm: 3.9509 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3965 loss: 1.3965 2022/08/01 03:37:20 - mmengine - INFO - Epoch(train) [22][900/940] lr: 1.0000e-02 eta: 15:51:57 time: 0.8137 data_time: 0.0389 memory: 13619 grad_norm: 4.0315 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3839 loss: 1.3839 2022/08/01 03:37:34 - mmengine - INFO - Epoch(train) [22][920/940] lr: 1.0000e-02 eta: 15:51:36 time: 0.6966 data_time: 0.0401 memory: 13619 grad_norm: 4.0118 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5619 loss: 1.5619 2022/08/01 03:37:48 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 03:37:48 - mmengine - INFO - Epoch(train) [22][940/940] lr: 1.0000e-02 eta: 15:51:16 time: 0.7164 data_time: 0.0243 memory: 13619 grad_norm: 4.1804 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5014 loss: 1.5014 2022/08/01 03:38:06 - mmengine - INFO - Epoch(val) [22][20/78] eta: 0:00:51 time: 0.8872 data_time: 0.7864 memory: 2186 2022/08/01 03:38:18 - mmengine - INFO - Epoch(val) [22][40/78] eta: 0:00:22 time: 0.5826 data_time: 0.4904 memory: 2186 2022/08/01 03:38:34 - mmengine - INFO - Epoch(val) [22][60/78] eta: 0:00:14 time: 0.8249 data_time: 0.7203 memory: 2186 2022/08/01 03:38:47 - mmengine - INFO - Epoch(val) [22][78/78] acc/top1: 0.6580 acc/top5: 0.8711 acc/mean1: 0.6578 2022/08/01 03:39:07 - mmengine - INFO - Epoch(train) [23][20/940] lr: 1.0000e-02 eta: 15:51:15 time: 0.9873 data_time: 0.4450 memory: 13619 grad_norm: 3.9323 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4856 loss: 1.4856 2022/08/01 03:39:21 - mmengine - INFO - Epoch(train) [23][40/940] lr: 1.0000e-02 eta: 15:50:53 time: 0.6856 data_time: 0.1238 memory: 13619 grad_norm: 3.8561 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4159 loss: 1.4159 2022/08/01 03:39:39 - mmengine - INFO - Epoch(train) [23][60/940] lr: 1.0000e-02 eta: 15:50:48 time: 0.9274 data_time: 0.2004 memory: 13619 grad_norm: 3.9202 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4458 loss: 1.4458 2022/08/01 03:39:52 - mmengine - INFO - Epoch(train) [23][80/940] lr: 1.0000e-02 eta: 15:50:23 time: 0.6469 data_time: 0.1760 memory: 13619 grad_norm: 3.9289 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3812 loss: 1.3812 2022/08/01 03:40:09 - mmengine - INFO - Epoch(train) [23][100/940] lr: 1.0000e-02 eta: 15:50:14 time: 0.8659 data_time: 0.3176 memory: 13619 grad_norm: 3.9582 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.4790 loss: 1.4790 2022/08/01 03:40:22 - mmengine - INFO - Epoch(train) [23][120/940] lr: 1.0000e-02 eta: 15:49:49 time: 0.6465 data_time: 0.1743 memory: 13619 grad_norm: 3.9795 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4120 loss: 1.4120 2022/08/01 03:40:39 - mmengine - INFO - Epoch(train) [23][140/940] lr: 1.0000e-02 eta: 15:49:36 time: 0.8159 data_time: 0.2997 memory: 13619 grad_norm: 3.9576 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4971 loss: 1.4971 2022/08/01 03:40:52 - mmengine - INFO - Epoch(train) [23][160/940] lr: 1.0000e-02 eta: 15:49:13 time: 0.6699 data_time: 0.2483 memory: 13619 grad_norm: 4.0125 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5068 loss: 1.5068 2022/08/01 03:41:09 - mmengine - INFO - Epoch(train) [23][180/940] lr: 1.0000e-02 eta: 15:49:04 time: 0.8707 data_time: 0.3504 memory: 13619 grad_norm: 3.9715 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4178 loss: 1.4178 2022/08/01 03:41:24 - mmengine - INFO - Epoch(train) [23][200/940] lr: 1.0000e-02 eta: 15:48:44 time: 0.7134 data_time: 0.1469 memory: 13619 grad_norm: 4.0143 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.4048 loss: 1.4048 2022/08/01 03:41:40 - mmengine - INFO - Epoch(train) [23][220/940] lr: 1.0000e-02 eta: 15:48:31 time: 0.8190 data_time: 0.1264 memory: 13619 grad_norm: 3.9866 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3175 loss: 1.3175 2022/08/01 03:41:55 - mmengine - INFO - Epoch(train) [23][240/940] lr: 1.0000e-02 eta: 15:48:11 time: 0.7215 data_time: 0.0396 memory: 13619 grad_norm: 3.9040 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.5252 loss: 1.5252 2022/08/01 03:42:11 - mmengine - INFO - Epoch(train) [23][260/940] lr: 1.0000e-02 eta: 15:47:57 time: 0.8015 data_time: 0.1242 memory: 13619 grad_norm: 3.9309 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4986 loss: 1.4986 2022/08/01 03:42:26 - mmengine - INFO - Epoch(train) [23][280/940] lr: 1.0000e-02 eta: 15:47:42 time: 0.7758 data_time: 0.0523 memory: 13619 grad_norm: 3.9853 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3698 loss: 1.3698 2022/08/01 03:42:42 - mmengine - INFO - Epoch(train) [23][300/940] lr: 1.0000e-02 eta: 15:47:26 time: 0.7832 data_time: 0.0403 memory: 13619 grad_norm: 3.8481 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4548 loss: 1.4548 2022/08/01 03:42:56 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 03:42:56 - mmengine - INFO - Epoch(train) [23][320/940] lr: 1.0000e-02 eta: 15:47:07 time: 0.7286 data_time: 0.0345 memory: 13619 grad_norm: 3.9732 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.3943 loss: 1.3943 2022/08/01 03:43:13 - mmengine - INFO - Epoch(train) [23][340/940] lr: 1.0000e-02 eta: 15:46:56 time: 0.8404 data_time: 0.0402 memory: 13619 grad_norm: 3.9905 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3785 loss: 1.3785 2022/08/01 03:43:26 - mmengine - INFO - Epoch(train) [23][360/940] lr: 1.0000e-02 eta: 15:46:31 time: 0.6465 data_time: 0.0392 memory: 13619 grad_norm: 3.9297 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3673 loss: 1.3673 2022/08/01 03:43:44 - mmengine - INFO - Epoch(train) [23][380/940] lr: 1.0000e-02 eta: 15:46:23 time: 0.8902 data_time: 0.0480 memory: 13619 grad_norm: 3.9008 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3758 loss: 1.3758 2022/08/01 03:43:57 - mmengine - INFO - Epoch(train) [23][400/940] lr: 1.0000e-02 eta: 15:46:01 time: 0.6765 data_time: 0.0335 memory: 13619 grad_norm: 3.9033 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2994 loss: 1.2994 2022/08/01 03:44:15 - mmengine - INFO - Epoch(train) [23][420/940] lr: 1.0000e-02 eta: 15:45:52 time: 0.8838 data_time: 0.0409 memory: 13619 grad_norm: 3.9380 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3836 loss: 1.3836 2022/08/01 03:44:28 - mmengine - INFO - Epoch(train) [23][440/940] lr: 1.0000e-02 eta: 15:45:28 time: 0.6438 data_time: 0.0319 memory: 13619 grad_norm: 4.0444 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5720 loss: 1.5720 2022/08/01 03:44:45 - mmengine - INFO - Epoch(train) [23][460/940] lr: 1.0000e-02 eta: 15:45:16 time: 0.8360 data_time: 0.0518 memory: 13619 grad_norm: 4.0411 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.3930 loss: 1.3930 2022/08/01 03:44:59 - mmengine - INFO - Epoch(train) [23][480/940] lr: 1.0000e-02 eta: 15:44:57 time: 0.7233 data_time: 0.1007 memory: 13619 grad_norm: 3.9117 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3370 loss: 1.3370 2022/08/01 03:45:16 - mmengine - INFO - Epoch(train) [23][500/940] lr: 1.0000e-02 eta: 15:44:46 time: 0.8482 data_time: 0.0996 memory: 13619 grad_norm: 3.9497 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4744 loss: 1.4744 2022/08/01 03:45:29 - mmengine - INFO - Epoch(train) [23][520/940] lr: 1.0000e-02 eta: 15:44:21 time: 0.6475 data_time: 0.0628 memory: 13619 grad_norm: 3.9923 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4441 loss: 1.4441 2022/08/01 03:45:47 - mmengine - INFO - Epoch(train) [23][540/940] lr: 1.0000e-02 eta: 15:44:13 time: 0.8799 data_time: 0.1975 memory: 13619 grad_norm: 3.9708 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3067 loss: 1.3067 2022/08/01 03:46:00 - mmengine - INFO - Epoch(train) [23][560/940] lr: 1.0000e-02 eta: 15:43:51 time: 0.6882 data_time: 0.1518 memory: 13619 grad_norm: 3.9570 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4507 loss: 1.4507 2022/08/01 03:46:18 - mmengine - INFO - Epoch(train) [23][580/940] lr: 1.0000e-02 eta: 15:43:44 time: 0.9036 data_time: 0.1621 memory: 13619 grad_norm: 3.9392 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4853 loss: 1.4853 2022/08/01 03:46:30 - mmengine - INFO - Epoch(train) [23][600/940] lr: 1.0000e-02 eta: 15:43:14 time: 0.5734 data_time: 0.1217 memory: 13619 grad_norm: 4.0292 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.4239 loss: 1.4239 2022/08/01 03:46:48 - mmengine - INFO - Epoch(train) [23][620/940] lr: 1.0000e-02 eta: 15:43:07 time: 0.8924 data_time: 0.3124 memory: 13619 grad_norm: 3.9202 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 1.3737 loss: 1.3737 2022/08/01 03:47:01 - mmengine - INFO - Epoch(train) [23][640/940] lr: 1.0000e-02 eta: 15:42:45 time: 0.6836 data_time: 0.1854 memory: 13619 grad_norm: 3.9672 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3756 loss: 1.3756 2022/08/01 03:47:19 - mmengine - INFO - Epoch(train) [23][660/940] lr: 1.0000e-02 eta: 15:42:35 time: 0.8681 data_time: 0.1998 memory: 13619 grad_norm: 3.9585 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3344 loss: 1.3344 2022/08/01 03:47:32 - mmengine - INFO - Epoch(train) [23][680/940] lr: 1.0000e-02 eta: 15:42:10 time: 0.6372 data_time: 0.1779 memory: 13619 grad_norm: 4.0333 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6132 loss: 1.6132 2022/08/01 03:47:49 - mmengine - INFO - Epoch(train) [23][700/940] lr: 1.0000e-02 eta: 15:42:00 time: 0.8570 data_time: 0.2314 memory: 13619 grad_norm: 4.0022 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6846 loss: 1.6846 2022/08/01 03:48:03 - mmengine - INFO - Epoch(train) [23][720/940] lr: 1.0000e-02 eta: 15:41:39 time: 0.7088 data_time: 0.0473 memory: 13619 grad_norm: 3.9468 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.5722 loss: 1.5722 2022/08/01 03:48:19 - mmengine - INFO - Epoch(train) [23][740/940] lr: 1.0000e-02 eta: 15:41:27 time: 0.8176 data_time: 0.0423 memory: 13619 grad_norm: 3.8829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3744 loss: 1.3744 2022/08/01 03:48:33 - mmengine - INFO - Epoch(train) [23][760/940] lr: 1.0000e-02 eta: 15:41:05 time: 0.6881 data_time: 0.0717 memory: 13619 grad_norm: 3.8793 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4109 loss: 1.4109 2022/08/01 03:48:49 - mmengine - INFO - Epoch(train) [23][780/940] lr: 1.0000e-02 eta: 15:40:52 time: 0.8231 data_time: 0.0511 memory: 13619 grad_norm: 3.9058 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4636 loss: 1.4636 2022/08/01 03:49:03 - mmengine - INFO - Epoch(train) [23][800/940] lr: 1.0000e-02 eta: 15:40:31 time: 0.6911 data_time: 0.0439 memory: 13619 grad_norm: 4.0064 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5563 loss: 1.5563 2022/08/01 03:49:19 - mmengine - INFO - Epoch(train) [23][820/940] lr: 1.0000e-02 eta: 15:40:17 time: 0.7969 data_time: 0.0998 memory: 13619 grad_norm: 3.9999 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4383 loss: 1.4383 2022/08/01 03:49:34 - mmengine - INFO - Epoch(train) [23][840/940] lr: 1.0000e-02 eta: 15:40:00 time: 0.7563 data_time: 0.2464 memory: 13619 grad_norm: 4.0295 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3804 loss: 1.3804 2022/08/01 03:49:51 - mmengine - INFO - Epoch(train) [23][860/940] lr: 1.0000e-02 eta: 15:39:48 time: 0.8295 data_time: 0.1529 memory: 13619 grad_norm: 3.9079 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4691 loss: 1.4691 2022/08/01 03:50:06 - mmengine - INFO - Epoch(train) [23][880/940] lr: 1.0000e-02 eta: 15:39:29 time: 0.7300 data_time: 0.1991 memory: 13619 grad_norm: 3.9504 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3380 loss: 1.3380 2022/08/01 03:50:27 - mmengine - INFO - Epoch(train) [23][900/940] lr: 1.0000e-02 eta: 15:39:32 time: 1.0601 data_time: 0.0631 memory: 13619 grad_norm: 3.9720 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4241 loss: 1.4241 2022/08/01 03:50:39 - mmengine - INFO - Epoch(train) [23][920/940] lr: 1.0000e-02 eta: 15:39:06 time: 0.6213 data_time: 0.0391 memory: 13619 grad_norm: 4.0004 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4051 loss: 1.4051 2022/08/01 03:50:53 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 03:50:53 - mmengine - INFO - Epoch(train) [23][940/940] lr: 1.0000e-02 eta: 15:38:45 time: 0.7012 data_time: 0.0253 memory: 13619 grad_norm: 4.2292 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.4934 loss: 1.4934 2022/08/01 03:51:11 - mmengine - INFO - Epoch(val) [23][20/78] eta: 0:00:50 time: 0.8623 data_time: 0.7585 memory: 2186 2022/08/01 03:51:23 - mmengine - INFO - Epoch(val) [23][40/78] eta: 0:00:23 time: 0.6144 data_time: 0.5184 memory: 2186 2022/08/01 03:51:39 - mmengine - INFO - Epoch(val) [23][60/78] eta: 0:00:14 time: 0.8162 data_time: 0.7195 memory: 2186 2022/08/01 03:51:52 - mmengine - INFO - Epoch(val) [23][78/78] acc/top1: 0.6593 acc/top5: 0.8684 acc/mean1: 0.6592 2022/08/01 03:52:11 - mmengine - INFO - Epoch(train) [24][20/940] lr: 1.0000e-02 eta: 15:38:41 time: 0.9503 data_time: 0.6303 memory: 13619 grad_norm: 3.8222 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3152 loss: 1.3152 2022/08/01 03:52:25 - mmengine - INFO - Epoch(train) [24][40/940] lr: 1.0000e-02 eta: 15:38:19 time: 0.6824 data_time: 0.3129 memory: 13619 grad_norm: 3.9347 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3463 loss: 1.3463 2022/08/01 03:52:42 - mmengine - INFO - Epoch(train) [24][60/940] lr: 1.0000e-02 eta: 15:38:10 time: 0.8668 data_time: 0.4603 memory: 13619 grad_norm: 3.8728 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4544 loss: 1.4544 2022/08/01 03:52:57 - mmengine - INFO - Epoch(train) [24][80/940] lr: 1.0000e-02 eta: 15:37:54 time: 0.7718 data_time: 0.2375 memory: 13619 grad_norm: 3.9691 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3984 loss: 1.3984 2022/08/01 03:53:15 - mmengine - INFO - Epoch(train) [24][100/940] lr: 1.0000e-02 eta: 15:37:44 time: 0.8616 data_time: 0.0590 memory: 13619 grad_norm: 3.8988 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4476 loss: 1.4476 2022/08/01 03:53:28 - mmengine - INFO - Epoch(train) [24][120/940] lr: 1.0000e-02 eta: 15:37:21 time: 0.6685 data_time: 0.0390 memory: 13619 grad_norm: 3.9640 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4178 loss: 1.4178 2022/08/01 03:53:45 - mmengine - INFO - Epoch(train) [24][140/940] lr: 1.0000e-02 eta: 15:37:10 time: 0.8569 data_time: 0.0372 memory: 13619 grad_norm: 3.9121 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3788 loss: 1.3788 2022/08/01 03:53:58 - mmengine - INFO - Epoch(train) [24][160/940] lr: 1.0000e-02 eta: 15:36:46 time: 0.6455 data_time: 0.0361 memory: 13619 grad_norm: 3.8719 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3645 loss: 1.3645 2022/08/01 03:54:15 - mmengine - INFO - Epoch(train) [24][180/940] lr: 1.0000e-02 eta: 15:36:34 time: 0.8334 data_time: 0.0383 memory: 13619 grad_norm: 3.9397 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3986 loss: 1.3986 2022/08/01 03:54:28 - mmengine - INFO - Epoch(train) [24][200/940] lr: 1.0000e-02 eta: 15:36:12 time: 0.6775 data_time: 0.0555 memory: 13619 grad_norm: 3.9660 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2929 loss: 1.2929 2022/08/01 03:54:49 - mmengine - INFO - Epoch(train) [24][220/940] lr: 1.0000e-02 eta: 15:36:13 time: 1.0295 data_time: 0.0370 memory: 13619 grad_norm: 3.9021 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3858 loss: 1.3858 2022/08/01 03:55:02 - mmengine - INFO - Epoch(train) [24][240/940] lr: 1.0000e-02 eta: 15:35:48 time: 0.6331 data_time: 0.0358 memory: 13619 grad_norm: 3.9111 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3781 loss: 1.3781 2022/08/01 03:55:19 - mmengine - INFO - Epoch(train) [24][260/940] lr: 1.0000e-02 eta: 15:35:38 time: 0.8704 data_time: 0.0413 memory: 13619 grad_norm: 4.0393 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4468 loss: 1.4468 2022/08/01 03:55:33 - mmengine - INFO - Epoch(train) [24][280/940] lr: 1.0000e-02 eta: 15:35:18 time: 0.7015 data_time: 0.0401 memory: 13619 grad_norm: 3.9877 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3924 loss: 1.3924 2022/08/01 03:55:48 - mmengine - INFO - Epoch(train) [24][300/940] lr: 1.0000e-02 eta: 15:34:59 time: 0.7406 data_time: 0.0400 memory: 13619 grad_norm: 4.0083 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3669 loss: 1.3669 2022/08/01 03:56:01 - mmengine - INFO - Epoch(train) [24][320/940] lr: 1.0000e-02 eta: 15:34:37 time: 0.6765 data_time: 0.0366 memory: 13619 grad_norm: 3.9945 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3643 loss: 1.3643 2022/08/01 03:56:20 - mmengine - INFO - Epoch(train) [24][340/940] lr: 1.0000e-02 eta: 15:34:32 time: 0.9395 data_time: 0.0342 memory: 13619 grad_norm: 3.9516 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.4018 loss: 1.4018 2022/08/01 03:56:34 - mmengine - INFO - Epoch(train) [24][360/940] lr: 1.0000e-02 eta: 15:34:10 time: 0.6699 data_time: 0.0345 memory: 13619 grad_norm: 3.9864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4840 loss: 1.4840 2022/08/01 03:56:51 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 03:56:51 - mmengine - INFO - Epoch(train) [24][380/940] lr: 1.0000e-02 eta: 15:34:00 time: 0.8700 data_time: 0.0317 memory: 13619 grad_norm: 3.9789 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4646 loss: 1.4646 2022/08/01 03:57:04 - mmengine - INFO - Epoch(train) [24][400/940] lr: 1.0000e-02 eta: 15:33:36 time: 0.6512 data_time: 0.0388 memory: 13619 grad_norm: 4.0367 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4604 loss: 1.4604 2022/08/01 03:57:21 - mmengine - INFO - Epoch(train) [24][420/940] lr: 1.0000e-02 eta: 15:33:25 time: 0.8480 data_time: 0.0423 memory: 13619 grad_norm: 4.0052 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4335 loss: 1.4335 2022/08/01 03:57:34 - mmengine - INFO - Epoch(train) [24][440/940] lr: 1.0000e-02 eta: 15:33:00 time: 0.6332 data_time: 0.0541 memory: 13619 grad_norm: 3.9800 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3100 loss: 1.3100 2022/08/01 03:57:51 - mmengine - INFO - Epoch(train) [24][460/940] lr: 1.0000e-02 eta: 15:32:51 time: 0.8803 data_time: 0.0382 memory: 13619 grad_norm: 3.9664 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4838 loss: 1.4838 2022/08/01 03:58:04 - mmengine - INFO - Epoch(train) [24][480/940] lr: 1.0000e-02 eta: 15:32:27 time: 0.6485 data_time: 0.0309 memory: 13619 grad_norm: 3.9692 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4989 loss: 1.4989 2022/08/01 03:58:22 - mmengine - INFO - Epoch(train) [24][500/940] lr: 1.0000e-02 eta: 15:32:18 time: 0.8822 data_time: 0.1494 memory: 13619 grad_norm: 3.9373 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4443 loss: 1.4443 2022/08/01 03:58:36 - mmengine - INFO - Epoch(train) [24][520/940] lr: 1.0000e-02 eta: 15:31:59 time: 0.7218 data_time: 0.1330 memory: 13619 grad_norm: 3.9423 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3960 loss: 1.3960 2022/08/01 03:58:52 - mmengine - INFO - Epoch(train) [24][540/940] lr: 1.0000e-02 eta: 15:31:45 time: 0.7976 data_time: 0.2308 memory: 13619 grad_norm: 3.9911 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3566 loss: 1.3566 2022/08/01 03:59:07 - mmengine - INFO - Epoch(train) [24][560/940] lr: 1.0000e-02 eta: 15:31:27 time: 0.7396 data_time: 0.0992 memory: 13619 grad_norm: 4.0455 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3781 loss: 1.3781 2022/08/01 03:59:23 - mmengine - INFO - Epoch(train) [24][580/940] lr: 1.0000e-02 eta: 15:31:14 time: 0.8199 data_time: 0.1955 memory: 13619 grad_norm: 4.0066 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5776 loss: 1.5776 2022/08/01 03:59:38 - mmengine - INFO - Epoch(train) [24][600/940] lr: 1.0000e-02 eta: 15:30:56 time: 0.7416 data_time: 0.0695 memory: 13619 grad_norm: 3.9554 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3929 loss: 1.3929 2022/08/01 03:59:55 - mmengine - INFO - Epoch(train) [24][620/940] lr: 1.0000e-02 eta: 15:30:44 time: 0.8415 data_time: 0.3243 memory: 13619 grad_norm: 4.0044 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4600 loss: 1.4600 2022/08/01 04:00:09 - mmengine - INFO - Epoch(train) [24][640/940] lr: 1.0000e-02 eta: 15:30:23 time: 0.6920 data_time: 0.2146 memory: 13619 grad_norm: 4.0211 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4642 loss: 1.4642 2022/08/01 04:00:24 - mmengine - INFO - Epoch(train) [24][660/940] lr: 1.0000e-02 eta: 15:30:07 time: 0.7665 data_time: 0.3133 memory: 13619 grad_norm: 3.9459 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4941 loss: 1.4941 2022/08/01 04:00:40 - mmengine - INFO - Epoch(train) [24][680/940] lr: 1.0000e-02 eta: 15:29:53 time: 0.7963 data_time: 0.1764 memory: 13619 grad_norm: 4.0031 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4531 loss: 1.4531 2022/08/01 04:00:55 - mmengine - INFO - Epoch(train) [24][700/940] lr: 1.0000e-02 eta: 15:29:36 time: 0.7581 data_time: 0.3352 memory: 13619 grad_norm: 3.9704 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4880 loss: 1.4880 2022/08/01 04:01:11 - mmengine - INFO - Epoch(train) [24][720/940] lr: 1.0000e-02 eta: 15:29:19 time: 0.7654 data_time: 0.1674 memory: 13619 grad_norm: 4.0250 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3948 loss: 1.3948 2022/08/01 04:01:26 - mmengine - INFO - Epoch(train) [24][740/940] lr: 1.0000e-02 eta: 15:29:03 time: 0.7607 data_time: 0.1842 memory: 13619 grad_norm: 4.0211 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4272 loss: 1.4272 2022/08/01 04:01:41 - mmengine - INFO - Epoch(train) [24][760/940] lr: 1.0000e-02 eta: 15:28:44 time: 0.7349 data_time: 0.0852 memory: 13619 grad_norm: 3.9944 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4451 loss: 1.4451 2022/08/01 04:01:57 - mmengine - INFO - Epoch(train) [24][780/940] lr: 1.0000e-02 eta: 15:28:31 time: 0.8039 data_time: 0.0432 memory: 13619 grad_norm: 4.0202 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3745 loss: 1.3745 2022/08/01 04:02:11 - mmengine - INFO - Epoch(train) [24][800/940] lr: 1.0000e-02 eta: 15:28:10 time: 0.7005 data_time: 0.0332 memory: 13619 grad_norm: 3.9618 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4259 loss: 1.4259 2022/08/01 04:02:26 - mmengine - INFO - Epoch(train) [24][820/940] lr: 1.0000e-02 eta: 15:27:54 time: 0.7720 data_time: 0.0437 memory: 13619 grad_norm: 4.0112 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5184 loss: 1.5184 2022/08/01 04:02:41 - mmengine - INFO - Epoch(train) [24][840/940] lr: 1.0000e-02 eta: 15:27:37 time: 0.7535 data_time: 0.0314 memory: 13619 grad_norm: 3.9698 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.4063 loss: 1.4063 2022/08/01 04:02:59 - mmengine - INFO - Epoch(train) [24][860/940] lr: 1.0000e-02 eta: 15:27:30 time: 0.9104 data_time: 0.0399 memory: 13619 grad_norm: 3.9020 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4315 loss: 1.4315 2022/08/01 04:03:13 - mmengine - INFO - Epoch(train) [24][880/940] lr: 1.0000e-02 eta: 15:27:07 time: 0.6695 data_time: 0.0293 memory: 13619 grad_norm: 4.0006 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4401 loss: 1.4401 2022/08/01 04:03:30 - mmengine - INFO - Epoch(train) [24][900/940] lr: 1.0000e-02 eta: 15:26:57 time: 0.8659 data_time: 0.0400 memory: 13619 grad_norm: 4.1545 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3794 loss: 1.3794 2022/08/01 04:03:44 - mmengine - INFO - Epoch(train) [24][920/940] lr: 1.0000e-02 eta: 15:26:37 time: 0.6955 data_time: 0.0287 memory: 13619 grad_norm: 4.0143 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5153 loss: 1.5153 2022/08/01 04:04:00 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 04:04:00 - mmengine - INFO - Epoch(train) [24][940/940] lr: 1.0000e-02 eta: 15:26:21 time: 0.7831 data_time: 0.0336 memory: 13619 grad_norm: 4.1748 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.4280 loss: 1.4280 2022/08/01 04:04:00 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/01 04:04:19 - mmengine - INFO - Epoch(val) [24][20/78] eta: 0:00:50 time: 0.8733 data_time: 0.7795 memory: 2186 2022/08/01 04:04:31 - mmengine - INFO - Epoch(val) [24][40/78] eta: 0:00:22 time: 0.5949 data_time: 0.5020 memory: 2186 2022/08/01 04:04:48 - mmengine - INFO - Epoch(val) [24][60/78] eta: 0:00:14 time: 0.8207 data_time: 0.7288 memory: 2186 2022/08/01 04:05:01 - mmengine - INFO - Epoch(val) [24][78/78] acc/top1: 0.6539 acc/top5: 0.8612 acc/mean1: 0.6538 2022/08/01 04:05:22 - mmengine - INFO - Epoch(train) [25][20/940] lr: 1.0000e-02 eta: 15:26:24 time: 1.0699 data_time: 0.7153 memory: 13619 grad_norm: 3.9675 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4720 loss: 1.4720 2022/08/01 04:05:36 - mmengine - INFO - Epoch(train) [25][40/940] lr: 1.0000e-02 eta: 15:26:02 time: 0.6752 data_time: 0.3818 memory: 13619 grad_norm: 4.0123 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4104 loss: 1.4104 2022/08/01 04:05:53 - mmengine - INFO - Epoch(train) [25][60/940] lr: 1.0000e-02 eta: 15:25:51 time: 0.8435 data_time: 0.5297 memory: 13619 grad_norm: 3.8200 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2966 loss: 1.2966 2022/08/01 04:06:06 - mmengine - INFO - Epoch(train) [25][80/940] lr: 1.0000e-02 eta: 15:25:27 time: 0.6551 data_time: 0.3533 memory: 13619 grad_norm: 3.8564 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2668 loss: 1.2668 2022/08/01 04:06:23 - mmengine - INFO - Epoch(train) [25][100/940] lr: 1.0000e-02 eta: 15:25:17 time: 0.8592 data_time: 0.4262 memory: 13619 grad_norm: 3.9617 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 1.4940 loss: 1.4940 2022/08/01 04:06:36 - mmengine - INFO - Epoch(train) [25][120/940] lr: 1.0000e-02 eta: 15:24:55 time: 0.6706 data_time: 0.2768 memory: 13619 grad_norm: 4.0062 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3969 loss: 1.3969 2022/08/01 04:06:55 - mmengine - INFO - Epoch(train) [25][140/940] lr: 1.0000e-02 eta: 15:24:48 time: 0.9176 data_time: 0.5781 memory: 13619 grad_norm: 3.9427 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4052 loss: 1.4052 2022/08/01 04:07:08 - mmengine - INFO - Epoch(train) [25][160/940] lr: 1.0000e-02 eta: 15:24:26 time: 0.6764 data_time: 0.3729 memory: 13619 grad_norm: 3.9882 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.3869 loss: 1.3869 2022/08/01 04:07:25 - mmengine - INFO - Epoch(train) [25][180/940] lr: 1.0000e-02 eta: 15:24:15 time: 0.8593 data_time: 0.5487 memory: 13619 grad_norm: 3.9889 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/08/01 04:07:39 - mmengine - INFO - Epoch(train) [25][200/940] lr: 1.0000e-02 eta: 15:23:53 time: 0.6713 data_time: 0.3445 memory: 13619 grad_norm: 4.0132 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5767 loss: 1.5767 2022/08/01 04:07:56 - mmengine - INFO - Epoch(train) [25][220/940] lr: 1.0000e-02 eta: 15:23:44 time: 0.8796 data_time: 0.5609 memory: 13619 grad_norm: 3.9696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4420 loss: 1.4420 2022/08/01 04:08:10 - mmengine - INFO - Epoch(train) [25][240/940] lr: 1.0000e-02 eta: 15:23:23 time: 0.6879 data_time: 0.3796 memory: 13619 grad_norm: 4.0124 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3414 loss: 1.3414 2022/08/01 04:08:27 - mmengine - INFO - Epoch(train) [25][260/940] lr: 1.0000e-02 eta: 15:23:11 time: 0.8402 data_time: 0.5081 memory: 13619 grad_norm: 3.9810 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 1.5689 loss: 1.5689 2022/08/01 04:08:39 - mmengine - INFO - Epoch(train) [25][280/940] lr: 1.0000e-02 eta: 15:22:45 time: 0.6151 data_time: 0.2892 memory: 13619 grad_norm: 4.0509 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.5150 loss: 1.5150 2022/08/01 04:08:56 - mmengine - INFO - Epoch(train) [25][300/940] lr: 1.0000e-02 eta: 15:22:33 time: 0.8368 data_time: 0.4963 memory: 13619 grad_norm: 4.0248 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.4228 loss: 1.4228 2022/08/01 04:09:09 - mmengine - INFO - Epoch(train) [25][320/940] lr: 1.0000e-02 eta: 15:22:11 time: 0.6714 data_time: 0.3529 memory: 13619 grad_norm: 4.0350 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4264 loss: 1.4264 2022/08/01 04:09:27 - mmengine - INFO - Epoch(train) [25][340/940] lr: 1.0000e-02 eta: 15:22:01 time: 0.8586 data_time: 0.3893 memory: 13619 grad_norm: 4.0090 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4398 loss: 1.4398 2022/08/01 04:09:41 - mmengine - INFO - Epoch(train) [25][360/940] lr: 1.0000e-02 eta: 15:21:40 time: 0.7038 data_time: 0.1808 memory: 13619 grad_norm: 4.0433 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4258 loss: 1.4258 2022/08/01 04:09:58 - mmengine - INFO - Epoch(train) [25][380/940] lr: 1.0000e-02 eta: 15:21:32 time: 0.8912 data_time: 0.1027 memory: 13619 grad_norm: 3.9544 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4389 loss: 1.4389 2022/08/01 04:10:12 - mmengine - INFO - Epoch(train) [25][400/940] lr: 1.0000e-02 eta: 15:21:10 time: 0.6765 data_time: 0.0413 memory: 13619 grad_norm: 3.9709 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2878 loss: 1.2878 2022/08/01 04:10:28 - mmengine - INFO - Epoch(train) [25][420/940] lr: 1.0000e-02 eta: 15:20:57 time: 0.8262 data_time: 0.0406 memory: 13619 grad_norm: 3.9203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2922 loss: 1.2922 2022/08/01 04:10:42 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 04:10:42 - mmengine - INFO - Epoch(train) [25][440/940] lr: 1.0000e-02 eta: 15:20:37 time: 0.6920 data_time: 0.0480 memory: 13619 grad_norm: 3.9360 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4963 loss: 1.4963 2022/08/01 04:10:59 - mmengine - INFO - Epoch(train) [25][460/940] lr: 1.0000e-02 eta: 15:20:24 time: 0.8324 data_time: 0.0428 memory: 13619 grad_norm: 4.0281 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4658 loss: 1.4658 2022/08/01 04:11:13 - mmengine - INFO - Epoch(train) [25][480/940] lr: 1.0000e-02 eta: 15:20:05 time: 0.7223 data_time: 0.0381 memory: 13619 grad_norm: 3.8716 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5400 loss: 1.5400 2022/08/01 04:11:31 - mmengine - INFO - Epoch(train) [25][500/940] lr: 1.0000e-02 eta: 15:19:57 time: 0.9026 data_time: 0.0378 memory: 13619 grad_norm: 4.1042 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3766 loss: 1.3766 2022/08/01 04:11:43 - mmengine - INFO - Epoch(train) [25][520/940] lr: 1.0000e-02 eta: 15:19:30 time: 0.5796 data_time: 0.0382 memory: 13619 grad_norm: 4.0376 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3663 loss: 1.3663 2022/08/01 04:12:00 - mmengine - INFO - Epoch(train) [25][540/940] lr: 1.0000e-02 eta: 15:19:18 time: 0.8450 data_time: 0.0367 memory: 13619 grad_norm: 4.0715 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3859 loss: 1.3859 2022/08/01 04:12:15 - mmengine - INFO - Epoch(train) [25][560/940] lr: 1.0000e-02 eta: 15:19:01 time: 0.7423 data_time: 0.0352 memory: 13619 grad_norm: 3.9488 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4079 loss: 1.4079 2022/08/01 04:12:31 - mmengine - INFO - Epoch(train) [25][580/940] lr: 1.0000e-02 eta: 15:18:48 time: 0.8257 data_time: 0.0435 memory: 13619 grad_norm: 4.0307 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3019 loss: 1.3019 2022/08/01 04:12:46 - mmengine - INFO - Epoch(train) [25][600/940] lr: 1.0000e-02 eta: 15:18:29 time: 0.7281 data_time: 0.0357 memory: 13619 grad_norm: 4.0093 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4068 loss: 1.4068 2022/08/01 04:13:02 - mmengine - INFO - Epoch(train) [25][620/940] lr: 1.0000e-02 eta: 15:18:15 time: 0.7977 data_time: 0.0618 memory: 13619 grad_norm: 3.9393 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4217 loss: 1.4217 2022/08/01 04:13:15 - mmengine - INFO - Epoch(train) [25][640/940] lr: 1.0000e-02 eta: 15:17:52 time: 0.6560 data_time: 0.1204 memory: 13619 grad_norm: 4.0320 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4715 loss: 1.4715 2022/08/01 04:13:33 - mmengine - INFO - Epoch(train) [25][660/940] lr: 1.0000e-02 eta: 15:17:44 time: 0.9094 data_time: 0.0757 memory: 13619 grad_norm: 4.0858 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4149 loss: 1.4149 2022/08/01 04:13:47 - mmengine - INFO - Epoch(train) [25][680/940] lr: 1.0000e-02 eta: 15:17:23 time: 0.6793 data_time: 0.0307 memory: 13619 grad_norm: 3.9866 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3716 loss: 1.3716 2022/08/01 04:14:04 - mmengine - INFO - Epoch(train) [25][700/940] lr: 1.0000e-02 eta: 15:17:11 time: 0.8396 data_time: 0.1277 memory: 13619 grad_norm: 4.0380 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3976 loss: 1.3976 2022/08/01 04:14:17 - mmengine - INFO - Epoch(train) [25][720/940] lr: 1.0000e-02 eta: 15:16:50 time: 0.6909 data_time: 0.0441 memory: 13619 grad_norm: 3.9952 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3715 loss: 1.3715 2022/08/01 04:14:35 - mmengine - INFO - Epoch(train) [25][740/940] lr: 1.0000e-02 eta: 15:16:40 time: 0.8739 data_time: 0.0453 memory: 13619 grad_norm: 4.0539 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3691 loss: 1.3691 2022/08/01 04:14:48 - mmengine - INFO - Epoch(train) [25][760/940] lr: 1.0000e-02 eta: 15:16:17 time: 0.6431 data_time: 0.0324 memory: 13619 grad_norm: 4.0408 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/08/01 04:15:04 - mmengine - INFO - Epoch(train) [25][780/940] lr: 1.0000e-02 eta: 15:16:05 time: 0.8355 data_time: 0.0901 memory: 13619 grad_norm: 3.9548 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3444 loss: 1.3444 2022/08/01 04:15:18 - mmengine - INFO - Epoch(train) [25][800/940] lr: 1.0000e-02 eta: 15:15:44 time: 0.7004 data_time: 0.0530 memory: 13619 grad_norm: 4.0016 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4988 loss: 1.4988 2022/08/01 04:15:36 - mmengine - INFO - Epoch(train) [25][820/940] lr: 1.0000e-02 eta: 15:15:35 time: 0.8819 data_time: 0.0405 memory: 13619 grad_norm: 3.9818 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.5129 loss: 1.5129 2022/08/01 04:15:50 - mmengine - INFO - Epoch(train) [25][840/940] lr: 1.0000e-02 eta: 15:15:13 time: 0.6763 data_time: 0.0353 memory: 13619 grad_norm: 4.0850 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4187 loss: 1.4187 2022/08/01 04:16:07 - mmengine - INFO - Epoch(train) [25][860/940] lr: 1.0000e-02 eta: 15:15:04 time: 0.8751 data_time: 0.0369 memory: 13619 grad_norm: 3.9432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4245 loss: 1.4245 2022/08/01 04:16:20 - mmengine - INFO - Epoch(train) [25][880/940] lr: 1.0000e-02 eta: 15:14:41 time: 0.6565 data_time: 0.0415 memory: 13619 grad_norm: 4.0378 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3867 loss: 1.3867 2022/08/01 04:16:36 - mmengine - INFO - Epoch(train) [25][900/940] lr: 1.0000e-02 eta: 15:14:26 time: 0.7957 data_time: 0.0379 memory: 13619 grad_norm: 3.9744 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5347 loss: 1.5347 2022/08/01 04:16:50 - mmengine - INFO - Epoch(train) [25][920/940] lr: 1.0000e-02 eta: 15:14:06 time: 0.6952 data_time: 0.0363 memory: 13619 grad_norm: 4.0588 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3965 loss: 1.3965 2022/08/01 04:17:05 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 04:17:05 - mmengine - INFO - Epoch(train) [25][940/940] lr: 1.0000e-02 eta: 15:13:49 time: 0.7636 data_time: 0.0346 memory: 13619 grad_norm: 4.2380 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.4041 loss: 1.4041 2022/08/01 04:17:23 - mmengine - INFO - Epoch(val) [25][20/78] eta: 0:00:50 time: 0.8678 data_time: 0.7739 memory: 2186 2022/08/01 04:17:35 - mmengine - INFO - Epoch(val) [25][40/78] eta: 0:00:22 time: 0.6023 data_time: 0.5073 memory: 2186 2022/08/01 04:17:50 - mmengine - INFO - Epoch(val) [25][60/78] eta: 0:00:13 time: 0.7659 data_time: 0.6688 memory: 2186 2022/08/01 04:19:59 - mmengine - INFO - Epoch(val) [25][78/78] acc/top1: 0.6612 acc/top5: 0.8696 acc/mean1: 0.6610 2022/08/01 04:20:18 - mmengine - INFO - Epoch(train) [26][20/940] lr: 1.0000e-02 eta: 15:13:45 time: 0.9626 data_time: 0.5224 memory: 13619 grad_norm: 3.9416 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3618 loss: 1.3618 2022/08/01 04:20:32 - mmengine - INFO - Epoch(train) [26][40/940] lr: 1.0000e-02 eta: 15:13:25 time: 0.7013 data_time: 0.2979 memory: 13619 grad_norm: 4.0108 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4589 loss: 1.4589 2022/08/01 04:20:50 - mmengine - INFO - Epoch(train) [26][60/940] lr: 1.0000e-02 eta: 15:13:14 time: 0.8628 data_time: 0.4414 memory: 13619 grad_norm: 3.9614 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5258 loss: 1.5258 2022/08/01 04:21:03 - mmengine - INFO - Epoch(train) [26][80/940] lr: 1.0000e-02 eta: 15:12:52 time: 0.6609 data_time: 0.2422 memory: 13619 grad_norm: 4.0380 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3664 loss: 1.3664 2022/08/01 04:21:20 - mmengine - INFO - Epoch(train) [26][100/940] lr: 1.0000e-02 eta: 15:12:39 time: 0.8315 data_time: 0.4094 memory: 13619 grad_norm: 3.9563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3880 loss: 1.3880 2022/08/01 04:21:33 - mmengine - INFO - Epoch(train) [26][120/940] lr: 1.0000e-02 eta: 15:12:19 time: 0.6897 data_time: 0.2913 memory: 13619 grad_norm: 4.0003 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5162 loss: 1.5162 2022/08/01 04:21:51 - mmengine - INFO - Epoch(train) [26][140/940] lr: 1.0000e-02 eta: 15:12:10 time: 0.8875 data_time: 0.2997 memory: 13619 grad_norm: 3.9885 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.3913 loss: 1.3913 2022/08/01 04:22:04 - mmengine - INFO - Epoch(train) [26][160/940] lr: 1.0000e-02 eta: 15:11:47 time: 0.6629 data_time: 0.0577 memory: 13619 grad_norm: 4.0557 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3553 loss: 1.3553 2022/08/01 04:22:22 - mmengine - INFO - Epoch(train) [26][180/940] lr: 1.0000e-02 eta: 15:11:38 time: 0.8802 data_time: 0.0564 memory: 13619 grad_norm: 3.9906 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3600 loss: 1.3600 2022/08/01 04:22:35 - mmengine - INFO - Epoch(train) [26][200/940] lr: 1.0000e-02 eta: 15:11:16 time: 0.6661 data_time: 0.0306 memory: 13619 grad_norm: 4.0210 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4649 loss: 1.4649 2022/08/01 04:22:52 - mmengine - INFO - Epoch(train) [26][220/940] lr: 1.0000e-02 eta: 15:11:02 time: 0.8131 data_time: 0.0380 memory: 13619 grad_norm: 4.0859 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3746 loss: 1.3746 2022/08/01 04:23:06 - mmengine - INFO - Epoch(train) [26][240/940] lr: 1.0000e-02 eta: 15:10:43 time: 0.7155 data_time: 0.0391 memory: 13619 grad_norm: 4.0315 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5491 loss: 1.5491 2022/08/01 04:23:24 - mmengine - INFO - Epoch(train) [26][260/940] lr: 1.0000e-02 eta: 15:10:35 time: 0.8997 data_time: 0.0386 memory: 13619 grad_norm: 4.0487 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4367 loss: 1.4367 2022/08/01 04:23:37 - mmengine - INFO - Epoch(train) [26][280/940] lr: 1.0000e-02 eta: 15:10:13 time: 0.6693 data_time: 0.0422 memory: 13619 grad_norm: 4.0766 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3780 loss: 1.3780 2022/08/01 04:23:53 - mmengine - INFO - Epoch(train) [26][300/940] lr: 1.0000e-02 eta: 15:09:59 time: 0.8039 data_time: 0.0433 memory: 13619 grad_norm: 4.0234 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 1.4440 loss: 1.4440 2022/08/01 04:24:07 - mmengine - INFO - Epoch(train) [26][320/940] lr: 1.0000e-02 eta: 15:09:38 time: 0.6912 data_time: 0.0323 memory: 13619 grad_norm: 3.9370 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4563 loss: 1.4563 2022/08/01 04:24:25 - mmengine - INFO - Epoch(train) [26][340/940] lr: 1.0000e-02 eta: 15:09:30 time: 0.9031 data_time: 0.0617 memory: 13619 grad_norm: 3.9905 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3743 loss: 1.3743 2022/08/01 04:24:38 - mmengine - INFO - Epoch(train) [26][360/940] lr: 1.0000e-02 eta: 15:09:06 time: 0.6445 data_time: 0.0356 memory: 13619 grad_norm: 4.0358 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2895 loss: 1.2895 2022/08/01 04:24:55 - mmengine - INFO - Epoch(train) [26][380/940] lr: 1.0000e-02 eta: 15:08:55 time: 0.8561 data_time: 0.0407 memory: 13619 grad_norm: 3.9785 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4244 loss: 1.4244 2022/08/01 04:25:09 - mmengine - INFO - Epoch(train) [26][400/940] lr: 1.0000e-02 eta: 15:08:35 time: 0.6879 data_time: 0.0316 memory: 13619 grad_norm: 4.0591 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4228 loss: 1.4228 2022/08/01 04:25:26 - mmengine - INFO - Epoch(train) [26][420/940] lr: 1.0000e-02 eta: 15:08:24 time: 0.8700 data_time: 0.0407 memory: 13619 grad_norm: 4.0414 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4686 loss: 1.4686 2022/08/01 04:25:39 - mmengine - INFO - Epoch(train) [26][440/940] lr: 1.0000e-02 eta: 15:08:00 time: 0.6303 data_time: 0.0336 memory: 13619 grad_norm: 3.9689 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3641 loss: 1.3641 2022/08/01 04:25:56 - mmengine - INFO - Epoch(train) [26][460/940] lr: 1.0000e-02 eta: 15:07:49 time: 0.8492 data_time: 0.0429 memory: 13619 grad_norm: 3.9866 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.5366 loss: 1.5366 2022/08/01 04:26:10 - mmengine - INFO - Epoch(train) [26][480/940] lr: 1.0000e-02 eta: 15:07:28 time: 0.6811 data_time: 0.0400 memory: 13619 grad_norm: 4.0826 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2555 loss: 1.2555 2022/08/01 04:26:27 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 04:26:27 - mmengine - INFO - Epoch(train) [26][500/940] lr: 1.0000e-02 eta: 15:07:16 time: 0.8476 data_time: 0.0369 memory: 13619 grad_norm: 3.9881 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2162 loss: 1.2162 2022/08/01 04:26:40 - mmengine - INFO - Epoch(train) [26][520/940] lr: 1.0000e-02 eta: 15:06:55 time: 0.6816 data_time: 0.0383 memory: 13619 grad_norm: 4.0537 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4930 loss: 1.4930 2022/08/01 04:26:58 - mmengine - INFO - Epoch(train) [26][540/940] lr: 1.0000e-02 eta: 15:06:45 time: 0.8757 data_time: 0.0447 memory: 13619 grad_norm: 4.0096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3127 loss: 1.3127 2022/08/01 04:27:11 - mmengine - INFO - Epoch(train) [26][560/940] lr: 1.0000e-02 eta: 15:06:23 time: 0.6645 data_time: 0.0331 memory: 13619 grad_norm: 4.0048 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3569 loss: 1.3569 2022/08/01 04:27:28 - mmengine - INFO - Epoch(train) [26][580/940] lr: 1.0000e-02 eta: 15:06:13 time: 0.8639 data_time: 0.0475 memory: 13619 grad_norm: 4.0098 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3602 loss: 1.3602 2022/08/01 04:27:42 - mmengine - INFO - Epoch(train) [26][600/940] lr: 1.0000e-02 eta: 15:05:52 time: 0.6876 data_time: 0.0394 memory: 13619 grad_norm: 4.0578 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4756 loss: 1.4756 2022/08/01 04:27:59 - mmengine - INFO - Epoch(train) [26][620/940] lr: 1.0000e-02 eta: 15:05:39 time: 0.8243 data_time: 0.0391 memory: 13619 grad_norm: 4.0136 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3523 loss: 1.3523 2022/08/01 04:28:12 - mmengine - INFO - Epoch(train) [26][640/940] lr: 1.0000e-02 eta: 15:05:18 time: 0.6904 data_time: 0.0354 memory: 13619 grad_norm: 4.0903 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3581 loss: 1.3581 2022/08/01 04:28:29 - mmengine - INFO - Epoch(train) [26][660/940] lr: 1.0000e-02 eta: 15:05:07 time: 0.8490 data_time: 0.0399 memory: 13619 grad_norm: 4.0464 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5510 loss: 1.5510 2022/08/01 04:28:43 - mmengine - INFO - Epoch(train) [26][680/940] lr: 1.0000e-02 eta: 15:04:45 time: 0.6608 data_time: 0.0359 memory: 13619 grad_norm: 4.0463 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5384 loss: 1.5384 2022/08/01 04:29:01 - mmengine - INFO - Epoch(train) [26][700/940] lr: 1.0000e-02 eta: 15:04:37 time: 0.9166 data_time: 0.0492 memory: 13619 grad_norm: 4.1238 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2845 loss: 1.2845 2022/08/01 04:29:15 - mmengine - INFO - Epoch(train) [26][720/940] lr: 1.0000e-02 eta: 15:04:16 time: 0.6874 data_time: 0.0423 memory: 13619 grad_norm: 4.0605 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4682 loss: 1.4682 2022/08/01 04:29:31 - mmengine - INFO - Epoch(train) [26][740/940] lr: 1.0000e-02 eta: 15:04:04 time: 0.8352 data_time: 0.0385 memory: 13619 grad_norm: 4.0609 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4069 loss: 1.4069 2022/08/01 04:29:44 - mmengine - INFO - Epoch(train) [26][760/940] lr: 1.0000e-02 eta: 15:03:41 time: 0.6492 data_time: 0.0392 memory: 13619 grad_norm: 4.0180 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3253 loss: 1.3253 2022/08/01 04:30:01 - mmengine - INFO - Epoch(train) [26][780/940] lr: 1.0000e-02 eta: 15:03:30 time: 0.8555 data_time: 0.0415 memory: 13619 grad_norm: 4.0260 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3416 loss: 1.3416 2022/08/01 04:30:14 - mmengine - INFO - Epoch(train) [26][800/940] lr: 1.0000e-02 eta: 15:03:07 time: 0.6414 data_time: 0.0391 memory: 13619 grad_norm: 4.0170 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3665 loss: 1.3665 2022/08/01 04:30:32 - mmengine - INFO - Epoch(train) [26][820/940] lr: 1.0000e-02 eta: 15:02:58 time: 0.8933 data_time: 0.0353 memory: 13619 grad_norm: 4.0951 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3771 loss: 1.3771 2022/08/01 04:30:45 - mmengine - INFO - Epoch(train) [26][840/940] lr: 1.0000e-02 eta: 15:02:36 time: 0.6640 data_time: 0.0370 memory: 13619 grad_norm: 4.1443 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4868 loss: 1.4868 2022/08/01 04:31:03 - mmengine - INFO - Epoch(train) [26][860/940] lr: 1.0000e-02 eta: 15:02:27 time: 0.9003 data_time: 0.0345 memory: 13619 grad_norm: 4.1053 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4379 loss: 1.4379 2022/08/01 04:31:16 - mmengine - INFO - Epoch(train) [26][880/940] lr: 1.0000e-02 eta: 15:02:02 time: 0.6073 data_time: 0.0358 memory: 13619 grad_norm: 4.0535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5071 loss: 1.5071 2022/08/01 04:31:35 - mmengine - INFO - Epoch(train) [26][900/940] lr: 1.0000e-02 eta: 15:01:58 time: 0.9761 data_time: 0.0321 memory: 13619 grad_norm: 3.9563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3353 loss: 1.3353 2022/08/01 04:31:49 - mmengine - INFO - Epoch(train) [26][920/940] lr: 1.0000e-02 eta: 15:01:37 time: 0.6811 data_time: 0.0389 memory: 13619 grad_norm: 4.0715 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4590 loss: 1.4590 2022/08/01 04:32:03 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 04:32:03 - mmengine - INFO - Epoch(train) [26][940/940] lr: 1.0000e-02 eta: 15:01:18 time: 0.7176 data_time: 0.0246 memory: 13619 grad_norm: 4.2566 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.4858 loss: 1.4858 2022/08/01 04:32:20 - mmengine - INFO - Epoch(val) [26][20/78] eta: 0:00:49 time: 0.8493 data_time: 0.7545 memory: 2186 2022/08/01 04:32:32 - mmengine - INFO - Epoch(val) [26][40/78] eta: 0:00:23 time: 0.6115 data_time: 0.5027 memory: 2186 2022/08/01 04:32:50 - mmengine - INFO - Epoch(val) [26][60/78] eta: 0:00:15 time: 0.8572 data_time: 0.7665 memory: 2186 2022/08/01 04:33:03 - mmengine - INFO - Epoch(val) [26][78/78] acc/top1: 0.6648 acc/top5: 0.8701 acc/mean1: 0.6647 2022/08/01 04:33:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_19.pth is removed 2022/08/01 04:33:04 - mmengine - INFO - The best checkpoint with 0.6648 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/08/01 04:33:24 - mmengine - INFO - Epoch(train) [27][20/940] lr: 1.0000e-02 eta: 15:01:13 time: 0.9581 data_time: 0.6275 memory: 13619 grad_norm: 4.0375 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3144 loss: 1.3144 2022/08/01 04:33:37 - mmengine - INFO - Epoch(train) [27][40/940] lr: 1.0000e-02 eta: 15:00:50 time: 0.6542 data_time: 0.3643 memory: 13619 grad_norm: 3.9119 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4552 loss: 1.4552 2022/08/01 04:33:54 - mmengine - INFO - Epoch(train) [27][60/940] lr: 1.0000e-02 eta: 15:00:39 time: 0.8646 data_time: 0.5541 memory: 13619 grad_norm: 3.9457 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2605 loss: 1.2605 2022/08/01 04:34:07 - mmengine - INFO - Epoch(train) [27][80/940] lr: 1.0000e-02 eta: 15:00:17 time: 0.6561 data_time: 0.3745 memory: 13619 grad_norm: 3.9892 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1795 loss: 1.1795 2022/08/01 04:34:25 - mmengine - INFO - Epoch(train) [27][100/940] lr: 1.0000e-02 eta: 15:00:08 time: 0.8955 data_time: 0.5861 memory: 13619 grad_norm: 3.9160 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.2568 loss: 1.2568 2022/08/01 04:34:40 - mmengine - INFO - Epoch(train) [27][120/940] lr: 1.0000e-02 eta: 14:59:50 time: 0.7397 data_time: 0.4346 memory: 13619 grad_norm: 4.0244 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3758 loss: 1.3758 2022/08/01 04:34:57 - mmengine - INFO - Epoch(train) [27][140/940] lr: 1.0000e-02 eta: 14:59:40 time: 0.8733 data_time: 0.5075 memory: 13619 grad_norm: 4.0370 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3410 loss: 1.3410 2022/08/01 04:35:10 - mmengine - INFO - Epoch(train) [27][160/940] lr: 1.0000e-02 eta: 14:59:17 time: 0.6480 data_time: 0.3026 memory: 13619 grad_norm: 3.9870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3861 loss: 1.3861 2022/08/01 04:35:28 - mmengine - INFO - Epoch(train) [27][180/940] lr: 1.0000e-02 eta: 14:59:09 time: 0.9017 data_time: 0.5724 memory: 13619 grad_norm: 4.0472 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.2599 loss: 1.2599 2022/08/01 04:35:42 - mmengine - INFO - Epoch(train) [27][200/940] lr: 1.0000e-02 eta: 14:58:47 time: 0.6721 data_time: 0.3404 memory: 13619 grad_norm: 3.9848 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2552 loss: 1.2552 2022/08/01 04:35:58 - mmengine - INFO - Epoch(train) [27][220/940] lr: 1.0000e-02 eta: 14:58:34 time: 0.8203 data_time: 0.4869 memory: 13619 grad_norm: 4.0090 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3931 loss: 1.3931 2022/08/01 04:36:12 - mmengine - INFO - Epoch(train) [27][240/940] lr: 1.0000e-02 eta: 14:58:14 time: 0.6882 data_time: 0.3717 memory: 13619 grad_norm: 4.1437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4596 loss: 1.4596 2022/08/01 04:36:30 - mmengine - INFO - Epoch(train) [27][260/940] lr: 1.0000e-02 eta: 14:58:05 time: 0.9041 data_time: 0.5792 memory: 13619 grad_norm: 4.0137 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3427 loss: 1.3427 2022/08/01 04:36:43 - mmengine - INFO - Epoch(train) [27][280/940] lr: 1.0000e-02 eta: 14:57:44 time: 0.6753 data_time: 0.3592 memory: 13619 grad_norm: 3.9662 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4623 loss: 1.4623 2022/08/01 04:37:00 - mmengine - INFO - Epoch(train) [27][300/940] lr: 1.0000e-02 eta: 14:57:31 time: 0.8316 data_time: 0.4850 memory: 13619 grad_norm: 4.0435 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4606 loss: 1.4606 2022/08/01 04:37:13 - mmengine - INFO - Epoch(train) [27][320/940] lr: 1.0000e-02 eta: 14:57:10 time: 0.6671 data_time: 0.3433 memory: 13619 grad_norm: 4.0901 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4508 loss: 1.4508 2022/08/01 04:37:31 - mmengine - INFO - Epoch(train) [27][340/940] lr: 1.0000e-02 eta: 14:57:00 time: 0.8908 data_time: 0.5721 memory: 13619 grad_norm: 4.1242 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3789 loss: 1.3789 2022/08/01 04:37:44 - mmengine - INFO - Epoch(train) [27][360/940] lr: 1.0000e-02 eta: 14:56:38 time: 0.6519 data_time: 0.3312 memory: 13619 grad_norm: 4.0032 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4223 loss: 1.4223 2022/08/01 04:38:01 - mmengine - INFO - Epoch(train) [27][380/940] lr: 1.0000e-02 eta: 14:56:25 time: 0.8263 data_time: 0.4889 memory: 13619 grad_norm: 4.0536 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3777 loss: 1.3777 2022/08/01 04:38:14 - mmengine - INFO - Epoch(train) [27][400/940] lr: 1.0000e-02 eta: 14:56:03 time: 0.6693 data_time: 0.2760 memory: 13619 grad_norm: 3.9990 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3960 loss: 1.3960 2022/08/01 04:38:31 - mmengine - INFO - Epoch(train) [27][420/940] lr: 1.0000e-02 eta: 14:55:52 time: 0.8472 data_time: 0.4577 memory: 13619 grad_norm: 3.9829 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3964 loss: 1.3964 2022/08/01 04:38:46 - mmengine - INFO - Epoch(train) [27][440/940] lr: 1.0000e-02 eta: 14:55:34 time: 0.7355 data_time: 0.2734 memory: 13619 grad_norm: 4.0756 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4251 loss: 1.4251 2022/08/01 04:39:01 - mmengine - INFO - Epoch(train) [27][460/940] lr: 1.0000e-02 eta: 14:55:18 time: 0.7717 data_time: 0.1379 memory: 13619 grad_norm: 4.0934 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4786 loss: 1.4786 2022/08/01 04:39:17 - mmengine - INFO - Epoch(train) [27][480/940] lr: 1.0000e-02 eta: 14:55:02 time: 0.7604 data_time: 0.0421 memory: 13619 grad_norm: 4.0889 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3700 loss: 1.3700 2022/08/01 04:39:31 - mmengine - INFO - Epoch(train) [27][500/940] lr: 1.0000e-02 eta: 14:54:43 time: 0.7318 data_time: 0.0656 memory: 13619 grad_norm: 4.1062 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4574 loss: 1.4574 2022/08/01 04:39:49 - mmengine - INFO - Epoch(train) [27][520/940] lr: 1.0000e-02 eta: 14:54:35 time: 0.8968 data_time: 0.0553 memory: 13619 grad_norm: 4.0406 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4836 loss: 1.4836 2022/08/01 04:40:03 - mmengine - INFO - Epoch(train) [27][540/940] lr: 1.0000e-02 eta: 14:54:13 time: 0.6775 data_time: 0.0583 memory: 13619 grad_norm: 4.0039 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3189 loss: 1.3189 2022/08/01 04:40:19 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 04:40:19 - mmengine - INFO - Epoch(train) [27][560/940] lr: 1.0000e-02 eta: 14:54:00 time: 0.8193 data_time: 0.0908 memory: 13619 grad_norm: 4.0380 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4590 loss: 1.4590 2022/08/01 04:40:33 - mmengine - INFO - Epoch(train) [27][580/940] lr: 1.0000e-02 eta: 14:53:41 time: 0.7074 data_time: 0.0778 memory: 13619 grad_norm: 3.9616 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3288 loss: 1.3288 2022/08/01 04:40:50 - mmengine - INFO - Epoch(train) [27][600/940] lr: 1.0000e-02 eta: 14:53:28 time: 0.8236 data_time: 0.2801 memory: 13619 grad_norm: 3.9990 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3169 loss: 1.3169 2022/08/01 04:41:04 - mmengine - INFO - Epoch(train) [27][620/940] lr: 1.0000e-02 eta: 14:53:10 time: 0.7308 data_time: 0.2967 memory: 13619 grad_norm: 4.0477 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4364 loss: 1.4364 2022/08/01 04:41:20 - mmengine - INFO - Epoch(train) [27][640/940] lr: 1.0000e-02 eta: 14:52:56 time: 0.8080 data_time: 0.4148 memory: 13619 grad_norm: 4.0696 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4349 loss: 1.4349 2022/08/01 04:41:34 - mmengine - INFO - Epoch(train) [27][660/940] lr: 1.0000e-02 eta: 14:52:35 time: 0.6800 data_time: 0.2892 memory: 13619 grad_norm: 4.0648 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.5405 loss: 1.5405 2022/08/01 04:41:50 - mmengine - INFO - Epoch(train) [27][680/940] lr: 1.0000e-02 eta: 14:52:21 time: 0.8103 data_time: 0.3757 memory: 13619 grad_norm: 4.1363 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4214 loss: 1.4214 2022/08/01 04:42:04 - mmengine - INFO - Epoch(train) [27][700/940] lr: 1.0000e-02 eta: 14:52:02 time: 0.7117 data_time: 0.2664 memory: 13619 grad_norm: 4.1236 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3874 loss: 1.3874 2022/08/01 04:42:21 - mmengine - INFO - Epoch(train) [27][720/940] lr: 1.0000e-02 eta: 14:51:48 time: 0.8097 data_time: 0.2108 memory: 13619 grad_norm: 3.9982 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4145 loss: 1.4145 2022/08/01 04:42:36 - mmengine - INFO - Epoch(train) [27][740/940] lr: 1.0000e-02 eta: 14:51:31 time: 0.7463 data_time: 0.2083 memory: 13619 grad_norm: 3.9914 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4417 loss: 1.4417 2022/08/01 04:42:52 - mmengine - INFO - Epoch(train) [27][760/940] lr: 1.0000e-02 eta: 14:51:18 time: 0.8302 data_time: 0.1151 memory: 13619 grad_norm: 4.0679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4313 loss: 1.4313 2022/08/01 04:43:06 - mmengine - INFO - Epoch(train) [27][780/940] lr: 1.0000e-02 eta: 14:50:59 time: 0.7091 data_time: 0.1228 memory: 13619 grad_norm: 4.0320 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3728 loss: 1.3728 2022/08/01 04:43:24 - mmengine - INFO - Epoch(train) [27][800/940] lr: 1.0000e-02 eta: 14:50:48 time: 0.8654 data_time: 0.0365 memory: 13619 grad_norm: 4.0892 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3946 loss: 1.3946 2022/08/01 04:43:37 - mmengine - INFO - Epoch(train) [27][820/940] lr: 1.0000e-02 eta: 14:50:26 time: 0.6584 data_time: 0.0375 memory: 13619 grad_norm: 4.0663 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4300 loss: 1.4300 2022/08/01 04:43:54 - mmengine - INFO - Epoch(train) [27][840/940] lr: 1.0000e-02 eta: 14:50:14 time: 0.8354 data_time: 0.0322 memory: 13619 grad_norm: 4.0305 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3547 loss: 1.3547 2022/08/01 04:44:09 - mmengine - INFO - Epoch(train) [27][860/940] lr: 1.0000e-02 eta: 14:49:58 time: 0.7695 data_time: 0.0435 memory: 13619 grad_norm: 3.9330 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2483 loss: 1.2483 2022/08/01 04:44:23 - mmengine - INFO - Epoch(train) [27][880/940] lr: 1.0000e-02 eta: 14:49:39 time: 0.7188 data_time: 0.0746 memory: 13619 grad_norm: 4.0323 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3320 loss: 1.3320 2022/08/01 04:44:40 - mmengine - INFO - Epoch(train) [27][900/940] lr: 1.0000e-02 eta: 14:49:27 time: 0.8279 data_time: 0.1162 memory: 13619 grad_norm: 4.0903 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.4629 loss: 1.4629 2022/08/01 04:44:53 - mmengine - INFO - Epoch(train) [27][920/940] lr: 1.0000e-02 eta: 14:49:04 time: 0.6479 data_time: 0.1024 memory: 13619 grad_norm: 4.0642 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3415 loss: 1.3415 2022/08/01 04:45:08 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 04:45:08 - mmengine - INFO - Epoch(train) [27][940/940] lr: 1.0000e-02 eta: 14:48:46 time: 0.7392 data_time: 0.1200 memory: 13619 grad_norm: 4.2137 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.3971 loss: 1.3971 2022/08/01 04:45:08 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/01 04:45:28 - mmengine - INFO - Epoch(val) [27][20/78] eta: 0:00:50 time: 0.8635 data_time: 0.7709 memory: 2186 2022/08/01 04:45:39 - mmengine - INFO - Epoch(val) [27][40/78] eta: 0:00:22 time: 0.5907 data_time: 0.4978 memory: 2186 2022/08/01 04:45:56 - mmengine - INFO - Epoch(val) [27][60/78] eta: 0:00:14 time: 0.8269 data_time: 0.7336 memory: 2186 2022/08/01 04:46:09 - mmengine - INFO - Epoch(val) [27][78/78] acc/top1: 0.6691 acc/top5: 0.8729 acc/mean1: 0.6691 2022/08/01 04:46:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_27.pth is removed 2022/08/01 04:46:10 - mmengine - INFO - The best checkpoint with 0.6691 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/08/01 04:46:29 - mmengine - INFO - Epoch(train) [28][20/940] lr: 1.0000e-02 eta: 14:48:42 time: 0.9765 data_time: 0.6829 memory: 13619 grad_norm: 3.9560 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3448 loss: 1.3448 2022/08/01 04:46:44 - mmengine - INFO - Epoch(train) [28][40/940] lr: 1.0000e-02 eta: 14:48:22 time: 0.7090 data_time: 0.4143 memory: 13619 grad_norm: 4.0271 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.3804 loss: 1.3804 2022/08/01 04:47:01 - mmengine - INFO - Epoch(train) [28][60/940] lr: 1.0000e-02 eta: 14:48:12 time: 0.8727 data_time: 0.5752 memory: 13619 grad_norm: 3.9842 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4382 loss: 1.4382 2022/08/01 04:47:14 - mmengine - INFO - Epoch(train) [28][80/940] lr: 1.0000e-02 eta: 14:47:50 time: 0.6630 data_time: 0.3484 memory: 13619 grad_norm: 3.9868 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2947 loss: 1.2947 2022/08/01 04:47:31 - mmengine - INFO - Epoch(train) [28][100/940] lr: 1.0000e-02 eta: 14:47:38 time: 0.8369 data_time: 0.5326 memory: 13619 grad_norm: 4.0165 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2343 loss: 1.2343 2022/08/01 04:47:46 - mmengine - INFO - Epoch(train) [28][120/940] lr: 1.0000e-02 eta: 14:47:19 time: 0.7220 data_time: 0.4021 memory: 13619 grad_norm: 3.9940 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2748 loss: 1.2748 2022/08/01 04:48:03 - mmengine - INFO - Epoch(train) [28][140/940] lr: 1.0000e-02 eta: 14:47:10 time: 0.8833 data_time: 0.5369 memory: 13619 grad_norm: 4.0922 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3805 loss: 1.3805 2022/08/01 04:48:16 - mmengine - INFO - Epoch(train) [28][160/940] lr: 1.0000e-02 eta: 14:46:47 time: 0.6460 data_time: 0.3290 memory: 13619 grad_norm: 3.9767 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4145 loss: 1.4145 2022/08/01 04:48:34 - mmengine - INFO - Epoch(train) [28][180/940] lr: 1.0000e-02 eta: 14:46:39 time: 0.9134 data_time: 0.5469 memory: 13619 grad_norm: 4.1123 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4157 loss: 1.4157 2022/08/01 04:48:48 - mmengine - INFO - Epoch(train) [28][200/940] lr: 1.0000e-02 eta: 14:46:18 time: 0.6895 data_time: 0.3622 memory: 13619 grad_norm: 4.0321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3511 loss: 1.3511 2022/08/01 04:49:05 - mmengine - INFO - Epoch(train) [28][220/940] lr: 1.0000e-02 eta: 14:46:06 time: 0.8279 data_time: 0.4900 memory: 13619 grad_norm: 4.0648 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2369 loss: 1.2369 2022/08/01 04:49:17 - mmengine - INFO - Epoch(train) [28][240/940] lr: 1.0000e-02 eta: 14:45:42 time: 0.6323 data_time: 0.3314 memory: 13619 grad_norm: 4.0566 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3476 loss: 1.3476 2022/08/01 04:49:33 - mmengine - INFO - Epoch(train) [28][260/940] lr: 1.0000e-02 eta: 14:45:27 time: 0.7885 data_time: 0.4724 memory: 13619 grad_norm: 4.0661 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2688 loss: 1.2688 2022/08/01 04:49:47 - mmengine - INFO - Epoch(train) [28][280/940] lr: 1.0000e-02 eta: 14:45:07 time: 0.6894 data_time: 0.2796 memory: 13619 grad_norm: 4.1447 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4255 loss: 1.4255 2022/08/01 04:50:04 - mmengine - INFO - Epoch(train) [28][300/940] lr: 1.0000e-02 eta: 14:44:54 time: 0.8206 data_time: 0.3327 memory: 13619 grad_norm: 4.0158 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3828 loss: 1.3828 2022/08/01 04:50:19 - mmengine - INFO - Epoch(train) [28][320/940] lr: 1.0000e-02 eta: 14:44:38 time: 0.7601 data_time: 0.1280 memory: 13619 grad_norm: 4.1174 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3722 loss: 1.3722 2022/08/01 04:50:34 - mmengine - INFO - Epoch(train) [28][340/940] lr: 1.0000e-02 eta: 14:44:22 time: 0.7760 data_time: 0.1180 memory: 13619 grad_norm: 3.9354 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4581 loss: 1.4581 2022/08/01 04:50:48 - mmengine - INFO - Epoch(train) [28][360/940] lr: 1.0000e-02 eta: 14:44:03 time: 0.7055 data_time: 0.0811 memory: 13619 grad_norm: 4.0338 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2916 loss: 1.2916 2022/08/01 04:51:06 - mmengine - INFO - Epoch(train) [28][380/940] lr: 1.0000e-02 eta: 14:43:52 time: 0.8709 data_time: 0.0849 memory: 13619 grad_norm: 3.9799 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3632 loss: 1.3632 2022/08/01 04:51:20 - mmengine - INFO - Epoch(train) [28][400/940] lr: 1.0000e-02 eta: 14:43:34 time: 0.7274 data_time: 0.0321 memory: 13619 grad_norm: 4.0829 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.3890 loss: 1.3890 2022/08/01 04:51:35 - mmengine - INFO - Epoch(train) [28][420/940] lr: 1.0000e-02 eta: 14:43:17 time: 0.7545 data_time: 0.0485 memory: 13619 grad_norm: 4.1047 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/08/01 04:51:51 - mmengine - INFO - Epoch(train) [28][440/940] lr: 1.0000e-02 eta: 14:43:02 time: 0.7857 data_time: 0.0459 memory: 13619 grad_norm: 4.0142 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3560 loss: 1.3560 2022/08/01 04:52:06 - mmengine - INFO - Epoch(train) [28][460/940] lr: 1.0000e-02 eta: 14:42:45 time: 0.7466 data_time: 0.0763 memory: 13619 grad_norm: 4.0970 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3785 loss: 1.3785 2022/08/01 04:52:21 - mmengine - INFO - Epoch(train) [28][480/940] lr: 1.0000e-02 eta: 14:42:27 time: 0.7280 data_time: 0.0361 memory: 13619 grad_norm: 4.0845 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4888 loss: 1.4888 2022/08/01 04:52:37 - mmengine - INFO - Epoch(train) [28][500/940] lr: 1.0000e-02 eta: 14:42:13 time: 0.8079 data_time: 0.0438 memory: 13619 grad_norm: 4.0335 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3331 loss: 1.3331 2022/08/01 04:52:51 - mmengine - INFO - Epoch(train) [28][520/940] lr: 1.0000e-02 eta: 14:41:54 time: 0.7083 data_time: 0.0357 memory: 13619 grad_norm: 4.0181 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4644 loss: 1.4644 2022/08/01 04:53:08 - mmengine - INFO - Epoch(train) [28][540/940] lr: 1.0000e-02 eta: 14:41:41 time: 0.8355 data_time: 0.0403 memory: 13619 grad_norm: 4.0016 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2351 loss: 1.2351 2022/08/01 04:53:22 - mmengine - INFO - Epoch(train) [28][560/940] lr: 1.0000e-02 eta: 14:41:22 time: 0.7041 data_time: 0.0735 memory: 13619 grad_norm: 4.0404 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3593 loss: 1.3593 2022/08/01 04:53:40 - mmengine - INFO - Epoch(train) [28][580/940] lr: 1.0000e-02 eta: 14:41:13 time: 0.9130 data_time: 0.0384 memory: 13619 grad_norm: 3.9630 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4507 loss: 1.4507 2022/08/01 04:53:53 - mmengine - INFO - Epoch(train) [28][600/940] lr: 1.0000e-02 eta: 14:40:50 time: 0.6363 data_time: 0.0386 memory: 13619 grad_norm: 4.1466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3758 loss: 1.3758 2022/08/01 04:54:10 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 04:54:10 - mmengine - INFO - Epoch(train) [28][620/940] lr: 1.0000e-02 eta: 14:40:39 time: 0.8639 data_time: 0.2144 memory: 13619 grad_norm: 4.0794 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4555 loss: 1.4555 2022/08/01 04:54:25 - mmengine - INFO - Epoch(train) [28][640/940] lr: 1.0000e-02 eta: 14:40:23 time: 0.7626 data_time: 0.2861 memory: 13619 grad_norm: 4.1007 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2921 loss: 1.2921 2022/08/01 04:54:40 - mmengine - INFO - Epoch(train) [28][660/940] lr: 1.0000e-02 eta: 14:40:07 time: 0.7573 data_time: 0.2445 memory: 13619 grad_norm: 4.1042 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3867 loss: 1.3867 2022/08/01 04:54:56 - mmengine - INFO - Epoch(train) [28][680/940] lr: 1.0000e-02 eta: 14:39:51 time: 0.7826 data_time: 0.4002 memory: 13619 grad_norm: 4.1256 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2865 loss: 1.2865 2022/08/01 04:55:10 - mmengine - INFO - Epoch(train) [28][700/940] lr: 1.0000e-02 eta: 14:39:32 time: 0.7101 data_time: 0.3456 memory: 13619 grad_norm: 3.9985 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4642 loss: 1.4642 2022/08/01 04:55:27 - mmengine - INFO - Epoch(train) [28][720/940] lr: 1.0000e-02 eta: 14:39:20 time: 0.8402 data_time: 0.4371 memory: 13619 grad_norm: 4.0893 top1_acc: 0.4688 top5_acc: 0.9375 loss_cls: 1.4021 loss: 1.4021 2022/08/01 04:55:43 - mmengine - INFO - Epoch(train) [28][740/940] lr: 1.0000e-02 eta: 14:39:04 time: 0.7753 data_time: 0.1926 memory: 13619 grad_norm: 4.1974 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5378 loss: 1.5378 2022/08/01 04:55:57 - mmengine - INFO - Epoch(train) [28][760/940] lr: 1.0000e-02 eta: 14:38:47 time: 0.7403 data_time: 0.1850 memory: 13619 grad_norm: 4.1489 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2584 loss: 1.2584 2022/08/01 04:56:13 - mmengine - INFO - Epoch(train) [28][780/940] lr: 1.0000e-02 eta: 14:38:31 time: 0.7668 data_time: 0.1519 memory: 13619 grad_norm: 4.1030 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/08/01 04:56:27 - mmengine - INFO - Epoch(train) [28][800/940] lr: 1.0000e-02 eta: 14:38:12 time: 0.7118 data_time: 0.2199 memory: 13619 grad_norm: 4.0934 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4673 loss: 1.4673 2022/08/01 04:56:42 - mmengine - INFO - Epoch(train) [28][820/940] lr: 1.0000e-02 eta: 14:37:56 time: 0.7638 data_time: 0.2902 memory: 13619 grad_norm: 4.0425 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2806 loss: 1.2806 2022/08/01 04:56:56 - mmengine - INFO - Epoch(train) [28][840/940] lr: 1.0000e-02 eta: 14:37:37 time: 0.7110 data_time: 0.2808 memory: 13619 grad_norm: 4.0407 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.4266 loss: 1.4266 2022/08/01 04:57:17 - mmengine - INFO - Epoch(train) [28][860/940] lr: 1.0000e-02 eta: 14:37:35 time: 1.0399 data_time: 0.7148 memory: 13619 grad_norm: 4.0966 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3877 loss: 1.3877 2022/08/01 04:57:30 - mmengine - INFO - Epoch(train) [28][880/940] lr: 1.0000e-02 eta: 14:37:12 time: 0.6274 data_time: 0.3231 memory: 13619 grad_norm: 4.1373 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3018 loss: 1.3018 2022/08/01 04:57:46 - mmengine - INFO - Epoch(train) [28][900/940] lr: 1.0000e-02 eta: 14:36:58 time: 0.8203 data_time: 0.4758 memory: 13619 grad_norm: 4.1145 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3652 loss: 1.3652 2022/08/01 04:58:00 - mmengine - INFO - Epoch(train) [28][920/940] lr: 1.0000e-02 eta: 14:36:39 time: 0.6949 data_time: 0.3864 memory: 13619 grad_norm: 4.1548 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3349 loss: 1.3349 2022/08/01 04:58:16 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 04:58:16 - mmengine - INFO - Epoch(train) [28][940/940] lr: 1.0000e-02 eta: 14:36:24 time: 0.7998 data_time: 0.5092 memory: 13619 grad_norm: 4.3294 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.4631 loss: 1.4631 2022/08/01 04:58:35 - mmengine - INFO - Epoch(val) [28][20/78] eta: 0:00:55 time: 0.9577 data_time: 0.8520 memory: 2186 2022/08/01 04:58:46 - mmengine - INFO - Epoch(val) [28][40/78] eta: 0:00:20 time: 0.5352 data_time: 0.4432 memory: 2186 2022/08/01 04:59:02 - mmengine - INFO - Epoch(val) [28][60/78] eta: 0:00:14 time: 0.8209 data_time: 0.7277 memory: 2186 2022/08/01 04:59:15 - mmengine - INFO - Epoch(val) [28][78/78] acc/top1: 0.6516 acc/top5: 0.8614 acc/mean1: 0.6514 2022/08/01 04:59:34 - mmengine - INFO - Epoch(train) [29][20/940] lr: 1.0000e-02 eta: 14:36:18 time: 0.9679 data_time: 0.5229 memory: 13619 grad_norm: 4.0136 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3073 loss: 1.3073 2022/08/01 04:59:47 - mmengine - INFO - Epoch(train) [29][40/940] lr: 1.0000e-02 eta: 14:35:56 time: 0.6460 data_time: 0.2673 memory: 13619 grad_norm: 4.0238 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4551 loss: 1.4551 2022/08/01 05:00:06 - mmengine - INFO - Epoch(train) [29][60/940] lr: 1.0000e-02 eta: 14:35:49 time: 0.9392 data_time: 0.3811 memory: 13619 grad_norm: 3.9751 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3310 loss: 1.3310 2022/08/01 05:00:20 - mmengine - INFO - Epoch(train) [29][80/940] lr: 1.0000e-02 eta: 14:35:29 time: 0.6820 data_time: 0.0453 memory: 13619 grad_norm: 3.9804 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4263 loss: 1.4263 2022/08/01 05:00:37 - mmengine - INFO - Epoch(train) [29][100/940] lr: 1.0000e-02 eta: 14:35:18 time: 0.8732 data_time: 0.1105 memory: 13619 grad_norm: 4.1256 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.1910 loss: 1.1910 2022/08/01 05:00:54 - mmengine - INFO - Epoch(train) [29][120/940] lr: 1.0000e-02 eta: 14:35:05 time: 0.8339 data_time: 0.0477 memory: 13619 grad_norm: 4.0364 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3910 loss: 1.3910 2022/08/01 05:01:09 - mmengine - INFO - Epoch(train) [29][140/940] lr: 1.0000e-02 eta: 14:34:48 time: 0.7379 data_time: 0.0466 memory: 13619 grad_norm: 4.0514 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3973 loss: 1.3973 2022/08/01 05:01:25 - mmengine - INFO - Epoch(train) [29][160/940] lr: 1.0000e-02 eta: 14:34:33 time: 0.7949 data_time: 0.0337 memory: 13619 grad_norm: 4.0701 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4269 loss: 1.4269 2022/08/01 05:01:39 - mmengine - INFO - Epoch(train) [29][180/940] lr: 1.0000e-02 eta: 14:34:14 time: 0.7038 data_time: 0.0382 memory: 13619 grad_norm: 4.0779 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3225 loss: 1.3225 2022/08/01 05:01:55 - mmengine - INFO - Epoch(train) [29][200/940] lr: 1.0000e-02 eta: 14:34:00 time: 0.8137 data_time: 0.0391 memory: 13619 grad_norm: 4.0902 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3673 loss: 1.3673 2022/08/01 05:02:09 - mmengine - INFO - Epoch(train) [29][220/940] lr: 1.0000e-02 eta: 14:33:41 time: 0.6979 data_time: 0.0382 memory: 13619 grad_norm: 4.0487 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3628 loss: 1.3628 2022/08/01 05:02:28 - mmengine - INFO - Epoch(train) [29][240/940] lr: 1.0000e-02 eta: 14:33:33 time: 0.9350 data_time: 0.0293 memory: 13619 grad_norm: 4.0397 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3393 loss: 1.3393 2022/08/01 05:02:40 - mmengine - INFO - Epoch(train) [29][260/940] lr: 1.0000e-02 eta: 14:33:10 time: 0.6198 data_time: 0.0550 memory: 13619 grad_norm: 4.0350 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1908 loss: 1.1908 2022/08/01 05:02:56 - mmengine - INFO - Epoch(train) [29][280/940] lr: 1.0000e-02 eta: 14:32:56 time: 0.8111 data_time: 0.0292 memory: 13619 grad_norm: 4.0942 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.4924 loss: 1.4924 2022/08/01 05:03:11 - mmengine - INFO - Epoch(train) [29][300/940] lr: 1.0000e-02 eta: 14:32:38 time: 0.7304 data_time: 0.0521 memory: 13619 grad_norm: 4.1571 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2929 loss: 1.2929 2022/08/01 05:03:28 - mmengine - INFO - Epoch(train) [29][320/940] lr: 1.0000e-02 eta: 14:32:26 time: 0.8421 data_time: 0.0330 memory: 13619 grad_norm: 4.0508 top1_acc: 0.5938 top5_acc: 0.9688 loss_cls: 1.3471 loss: 1.3471 2022/08/01 05:03:42 - mmengine - INFO - Epoch(train) [29][340/940] lr: 1.0000e-02 eta: 14:32:07 time: 0.7095 data_time: 0.0406 memory: 13619 grad_norm: 4.0061 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3166 loss: 1.3166 2022/08/01 05:03:58 - mmengine - INFO - Epoch(train) [29][360/940] lr: 1.0000e-02 eta: 14:31:53 time: 0.8240 data_time: 0.0349 memory: 13619 grad_norm: 4.1047 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3715 loss: 1.3715 2022/08/01 05:04:11 - mmengine - INFO - Epoch(train) [29][380/940] lr: 1.0000e-02 eta: 14:31:30 time: 0.6285 data_time: 0.0436 memory: 13619 grad_norm: 4.1220 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3219 loss: 1.3219 2022/08/01 05:04:28 - mmengine - INFO - Epoch(train) [29][400/940] lr: 1.0000e-02 eta: 14:31:18 time: 0.8369 data_time: 0.0358 memory: 13619 grad_norm: 3.9833 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3079 loss: 1.3079 2022/08/01 05:04:43 - mmengine - INFO - Epoch(train) [29][420/940] lr: 1.0000e-02 eta: 14:31:01 time: 0.7494 data_time: 0.0480 memory: 13619 grad_norm: 4.0385 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3382 loss: 1.3382 2022/08/01 05:04:58 - mmengine - INFO - Epoch(train) [29][440/940] lr: 1.0000e-02 eta: 14:30:45 time: 0.7608 data_time: 0.0339 memory: 13619 grad_norm: 4.0569 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4057 loss: 1.4057 2022/08/01 05:05:14 - mmengine - INFO - Epoch(train) [29][460/940] lr: 1.0000e-02 eta: 14:30:31 time: 0.8186 data_time: 0.0419 memory: 13619 grad_norm: 4.0621 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.3516 loss: 1.3516 2022/08/01 05:05:28 - mmengine - INFO - Epoch(train) [29][480/940] lr: 1.0000e-02 eta: 14:30:11 time: 0.6898 data_time: 0.0323 memory: 13619 grad_norm: 4.0930 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3702 loss: 1.3702 2022/08/01 05:05:44 - mmengine - INFO - Epoch(train) [29][500/940] lr: 1.0000e-02 eta: 14:29:56 time: 0.7891 data_time: 0.0364 memory: 13619 grad_norm: 4.0096 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4152 loss: 1.4152 2022/08/01 05:05:57 - mmengine - INFO - Epoch(train) [29][520/940] lr: 1.0000e-02 eta: 14:29:35 time: 0.6681 data_time: 0.0369 memory: 13619 grad_norm: 4.0946 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3307 loss: 1.3307 2022/08/01 05:06:15 - mmengine - INFO - Epoch(train) [29][540/940] lr: 1.0000e-02 eta: 14:29:24 time: 0.8675 data_time: 0.1547 memory: 13619 grad_norm: 4.0706 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2981 loss: 1.2981 2022/08/01 05:06:29 - mmengine - INFO - Epoch(train) [29][560/940] lr: 1.0000e-02 eta: 14:29:07 time: 0.7318 data_time: 0.0410 memory: 13619 grad_norm: 4.0967 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3978 loss: 1.3978 2022/08/01 05:06:47 - mmengine - INFO - Epoch(train) [29][580/940] lr: 1.0000e-02 eta: 14:28:56 time: 0.8765 data_time: 0.0350 memory: 13619 grad_norm: 4.0317 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2326 loss: 1.2326 2022/08/01 05:07:01 - mmengine - INFO - Epoch(train) [29][600/940] lr: 1.0000e-02 eta: 14:28:36 time: 0.6959 data_time: 0.0534 memory: 13619 grad_norm: 4.0487 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4382 loss: 1.4382 2022/08/01 05:07:17 - mmengine - INFO - Epoch(train) [29][620/940] lr: 1.0000e-02 eta: 14:28:24 time: 0.8387 data_time: 0.0340 memory: 13619 grad_norm: 4.1311 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3905 loss: 1.3905 2022/08/01 05:07:31 - mmengine - INFO - Epoch(train) [29][640/940] lr: 1.0000e-02 eta: 14:28:02 time: 0.6587 data_time: 0.0446 memory: 13619 grad_norm: 4.1005 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4064 loss: 1.4064 2022/08/01 05:07:48 - mmengine - INFO - Epoch(train) [29][660/940] lr: 1.0000e-02 eta: 14:27:52 time: 0.8748 data_time: 0.0389 memory: 13619 grad_norm: 4.1338 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2875 loss: 1.2875 2022/08/01 05:08:01 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 05:08:01 - mmengine - INFO - Epoch(train) [29][680/940] lr: 1.0000e-02 eta: 14:27:30 time: 0.6563 data_time: 0.0284 memory: 13619 grad_norm: 4.1567 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3100 loss: 1.3100 2022/08/01 05:08:19 - mmengine - INFO - Epoch(train) [29][700/940] lr: 1.0000e-02 eta: 14:27:20 time: 0.8804 data_time: 0.1633 memory: 13619 grad_norm: 4.1534 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4270 loss: 1.4270 2022/08/01 05:08:32 - mmengine - INFO - Epoch(train) [29][720/940] lr: 1.0000e-02 eta: 14:26:58 time: 0.6509 data_time: 0.1579 memory: 13619 grad_norm: 4.1137 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3572 loss: 1.3572 2022/08/01 05:08:50 - mmengine - INFO - Epoch(train) [29][740/940] lr: 1.0000e-02 eta: 14:26:48 time: 0.8823 data_time: 0.2830 memory: 13619 grad_norm: 4.0651 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3427 loss: 1.3427 2022/08/01 05:09:02 - mmengine - INFO - Epoch(train) [29][760/940] lr: 1.0000e-02 eta: 14:26:26 time: 0.6438 data_time: 0.2117 memory: 13619 grad_norm: 4.0485 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3083 loss: 1.3083 2022/08/01 05:09:20 - mmengine - INFO - Epoch(train) [29][780/940] lr: 1.0000e-02 eta: 14:26:15 time: 0.8759 data_time: 0.3895 memory: 13619 grad_norm: 4.1488 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4044 loss: 1.4044 2022/08/01 05:09:33 - mmengine - INFO - Epoch(train) [29][800/940] lr: 1.0000e-02 eta: 14:25:52 time: 0.6350 data_time: 0.3055 memory: 13619 grad_norm: 4.1291 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2288 loss: 1.2288 2022/08/01 05:09:51 - mmengine - INFO - Epoch(train) [29][820/940] lr: 1.0000e-02 eta: 14:25:43 time: 0.8984 data_time: 0.5766 memory: 13619 grad_norm: 4.0775 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3307 loss: 1.3307 2022/08/01 05:10:04 - mmengine - INFO - Epoch(train) [29][840/940] lr: 1.0000e-02 eta: 14:25:22 time: 0.6720 data_time: 0.3300 memory: 13619 grad_norm: 4.1691 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2746 loss: 1.2746 2022/08/01 05:10:22 - mmengine - INFO - Epoch(train) [29][860/940] lr: 1.0000e-02 eta: 14:25:12 time: 0.8782 data_time: 0.5450 memory: 13619 grad_norm: 4.0094 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2930 loss: 1.2930 2022/08/01 05:10:36 - mmengine - INFO - Epoch(train) [29][880/940] lr: 1.0000e-02 eta: 14:24:53 time: 0.7107 data_time: 0.3883 memory: 13619 grad_norm: 4.0946 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4259 loss: 1.4259 2022/08/01 05:10:53 - mmengine - INFO - Epoch(train) [29][900/940] lr: 1.0000e-02 eta: 14:24:41 time: 0.8608 data_time: 0.5423 memory: 13619 grad_norm: 4.0956 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3630 loss: 1.3630 2022/08/01 05:11:06 - mmengine - INFO - Epoch(train) [29][920/940] lr: 1.0000e-02 eta: 14:24:20 time: 0.6475 data_time: 0.3373 memory: 13619 grad_norm: 4.1613 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4177 loss: 1.4177 2022/08/01 05:11:20 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 05:11:20 - mmengine - INFO - Epoch(train) [29][940/940] lr: 1.0000e-02 eta: 14:24:01 time: 0.7154 data_time: 0.4245 memory: 13619 grad_norm: 4.2586 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.3691 loss: 1.3691 2022/08/01 05:11:37 - mmengine - INFO - Epoch(val) [29][20/78] eta: 0:00:49 time: 0.8564 data_time: 0.7582 memory: 2186 2022/08/01 05:11:50 - mmengine - INFO - Epoch(val) [29][40/78] eta: 0:00:24 time: 0.6500 data_time: 0.5548 memory: 2186 2022/08/01 05:12:06 - mmengine - INFO - Epoch(val) [29][60/78] eta: 0:00:13 time: 0.7689 data_time: 0.6670 memory: 2186 2022/08/01 05:12:20 - mmengine - INFO - Epoch(val) [29][78/78] acc/top1: 0.6629 acc/top5: 0.8719 acc/mean1: 0.6627 2022/08/01 05:12:40 - mmengine - INFO - Epoch(train) [30][20/940] lr: 1.0000e-02 eta: 14:23:55 time: 0.9683 data_time: 0.5108 memory: 13619 grad_norm: 4.0128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4825 loss: 1.4825 2022/08/01 05:12:53 - mmengine - INFO - Epoch(train) [30][40/940] lr: 1.0000e-02 eta: 14:23:33 time: 0.6579 data_time: 0.1760 memory: 13619 grad_norm: 4.1542 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3220 loss: 1.3220 2022/08/01 05:13:12 - mmengine - INFO - Epoch(train) [30][60/940] lr: 1.0000e-02 eta: 14:23:27 time: 0.9578 data_time: 0.1363 memory: 13619 grad_norm: 4.0277 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1909 loss: 1.1909 2022/08/01 05:13:24 - mmengine - INFO - Epoch(train) [30][80/940] lr: 1.0000e-02 eta: 14:23:03 time: 0.6149 data_time: 0.0317 memory: 13619 grad_norm: 4.0580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3437 loss: 1.3437 2022/08/01 05:13:41 - mmengine - INFO - Epoch(train) [30][100/940] lr: 1.0000e-02 eta: 14:22:51 time: 0.8342 data_time: 0.0465 memory: 13619 grad_norm: 4.0065 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3659 loss: 1.3659 2022/08/01 05:13:55 - mmengine - INFO - Epoch(train) [30][120/940] lr: 1.0000e-02 eta: 14:22:30 time: 0.6769 data_time: 0.0456 memory: 13619 grad_norm: 4.0772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3135 loss: 1.3135 2022/08/01 05:14:11 - mmengine - INFO - Epoch(train) [30][140/940] lr: 1.0000e-02 eta: 14:22:18 time: 0.8374 data_time: 0.1651 memory: 13619 grad_norm: 4.0496 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2747 loss: 1.2747 2022/08/01 05:14:27 - mmengine - INFO - Epoch(train) [30][160/940] lr: 1.0000e-02 eta: 14:22:02 time: 0.7704 data_time: 0.1111 memory: 13619 grad_norm: 4.1809 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.3135 loss: 1.3135 2022/08/01 05:14:43 - mmengine - INFO - Epoch(train) [30][180/940] lr: 1.0000e-02 eta: 14:21:48 time: 0.8037 data_time: 0.1825 memory: 13619 grad_norm: 4.1521 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4244 loss: 1.4244 2022/08/01 05:14:57 - mmengine - INFO - Epoch(train) [30][200/940] lr: 1.0000e-02 eta: 14:21:30 time: 0.7314 data_time: 0.2054 memory: 13619 grad_norm: 3.9996 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2595 loss: 1.2595 2022/08/01 05:15:14 - mmengine - INFO - Epoch(train) [30][220/940] lr: 1.0000e-02 eta: 14:21:17 time: 0.8234 data_time: 0.1009 memory: 13619 grad_norm: 4.1000 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3865 loss: 1.3865 2022/08/01 05:15:28 - mmengine - INFO - Epoch(train) [30][240/940] lr: 1.0000e-02 eta: 14:20:58 time: 0.7133 data_time: 0.0564 memory: 13619 grad_norm: 4.1959 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2315 loss: 1.2315 2022/08/01 05:15:44 - mmengine - INFO - Epoch(train) [30][260/940] lr: 1.0000e-02 eta: 14:20:43 time: 0.7925 data_time: 0.0702 memory: 13619 grad_norm: 4.0189 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3938 loss: 1.3938 2022/08/01 05:15:59 - mmengine - INFO - Epoch(train) [30][280/940] lr: 1.0000e-02 eta: 14:20:27 time: 0.7676 data_time: 0.0674 memory: 13619 grad_norm: 4.1275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2562 loss: 1.2562 2022/08/01 05:16:15 - mmengine - INFO - Epoch(train) [30][300/940] lr: 1.0000e-02 eta: 14:20:12 time: 0.7853 data_time: 0.0404 memory: 13619 grad_norm: 4.0684 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4063 loss: 1.4063 2022/08/01 05:16:30 - mmengine - INFO - Epoch(train) [30][320/940] lr: 1.0000e-02 eta: 14:19:55 time: 0.7409 data_time: 0.0322 memory: 13619 grad_norm: 4.0609 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2837 loss: 1.2837 2022/08/01 05:16:45 - mmengine - INFO - Epoch(train) [30][340/940] lr: 1.0000e-02 eta: 14:19:38 time: 0.7602 data_time: 0.0383 memory: 13619 grad_norm: 4.0388 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3519 loss: 1.3519 2022/08/01 05:17:01 - mmengine - INFO - Epoch(train) [30][360/940] lr: 1.0000e-02 eta: 14:19:24 time: 0.8034 data_time: 0.0314 memory: 13619 grad_norm: 3.9988 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4246 loss: 1.4246 2022/08/01 05:17:15 - mmengine - INFO - Epoch(train) [30][380/940] lr: 1.0000e-02 eta: 14:19:05 time: 0.6991 data_time: 0.0821 memory: 13619 grad_norm: 4.1271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2594 loss: 1.2594 2022/08/01 05:17:31 - mmengine - INFO - Epoch(train) [30][400/940] lr: 1.0000e-02 eta: 14:18:51 time: 0.8042 data_time: 0.0832 memory: 13619 grad_norm: 4.1822 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4241 loss: 1.4241 2022/08/01 05:17:47 - mmengine - INFO - Epoch(train) [30][420/940] lr: 1.0000e-02 eta: 14:18:35 time: 0.7672 data_time: 0.0727 memory: 13619 grad_norm: 4.1146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4260 loss: 1.4260 2022/08/01 05:18:01 - mmengine - INFO - Epoch(train) [30][440/940] lr: 1.0000e-02 eta: 14:18:17 time: 0.7348 data_time: 0.0354 memory: 13619 grad_norm: 4.1343 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4013 loss: 1.4013 2022/08/01 05:18:18 - mmengine - INFO - Epoch(train) [30][460/940] lr: 1.0000e-02 eta: 14:18:04 time: 0.8354 data_time: 0.0418 memory: 13619 grad_norm: 4.1166 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3097 loss: 1.3097 2022/08/01 05:18:32 - mmengine - INFO - Epoch(train) [30][480/940] lr: 1.0000e-02 eta: 14:17:45 time: 0.6879 data_time: 0.0568 memory: 13619 grad_norm: 4.0821 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3557 loss: 1.3557 2022/08/01 05:18:48 - mmengine - INFO - Epoch(train) [30][500/940] lr: 1.0000e-02 eta: 14:17:30 time: 0.7907 data_time: 0.0744 memory: 13619 grad_norm: 4.0416 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3408 loss: 1.3408 2022/08/01 05:19:01 - mmengine - INFO - Epoch(train) [30][520/940] lr: 1.0000e-02 eta: 14:17:10 time: 0.6951 data_time: 0.0943 memory: 13619 grad_norm: 3.9596 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3407 loss: 1.3407 2022/08/01 05:19:19 - mmengine - INFO - Epoch(train) [30][540/940] lr: 1.0000e-02 eta: 14:16:59 time: 0.8580 data_time: 0.1182 memory: 13619 grad_norm: 4.1528 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3179 loss: 1.3179 2022/08/01 05:19:33 - mmengine - INFO - Epoch(train) [30][560/940] lr: 1.0000e-02 eta: 14:16:41 time: 0.7355 data_time: 0.0427 memory: 13619 grad_norm: 3.9844 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4069 loss: 1.4069 2022/08/01 05:19:49 - mmengine - INFO - Epoch(train) [30][580/940] lr: 1.0000e-02 eta: 14:16:27 time: 0.7961 data_time: 0.0405 memory: 13619 grad_norm: 4.1246 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2682 loss: 1.2682 2022/08/01 05:20:03 - mmengine - INFO - Epoch(train) [30][600/940] lr: 1.0000e-02 eta: 14:16:06 time: 0.6779 data_time: 0.0331 memory: 13619 grad_norm: 4.1567 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3666 loss: 1.3666 2022/08/01 05:20:21 - mmengine - INFO - Epoch(train) [30][620/940] lr: 1.0000e-02 eta: 14:15:57 time: 0.9005 data_time: 0.0385 memory: 13619 grad_norm: 4.0826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3107 loss: 1.3107 2022/08/01 05:20:35 - mmengine - INFO - Epoch(train) [30][640/940] lr: 1.0000e-02 eta: 14:15:38 time: 0.7035 data_time: 0.0312 memory: 13619 grad_norm: 4.1971 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4090 loss: 1.4090 2022/08/01 05:20:52 - mmengine - INFO - Epoch(train) [30][660/940] lr: 1.0000e-02 eta: 14:15:25 time: 0.8422 data_time: 0.0401 memory: 13619 grad_norm: 4.1575 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4371 loss: 1.4371 2022/08/01 05:21:05 - mmengine - INFO - Epoch(train) [30][680/940] lr: 1.0000e-02 eta: 14:15:05 time: 0.6845 data_time: 0.0405 memory: 13619 grad_norm: 4.1020 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4154 loss: 1.4154 2022/08/01 05:21:22 - mmengine - INFO - Epoch(train) [30][700/940] lr: 1.0000e-02 eta: 14:14:53 time: 0.8364 data_time: 0.0461 memory: 13619 grad_norm: 4.0321 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4201 loss: 1.4201 2022/08/01 05:21:36 - mmengine - INFO - Epoch(train) [30][720/940] lr: 1.0000e-02 eta: 14:14:32 time: 0.6701 data_time: 0.0335 memory: 13619 grad_norm: 4.0856 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4116 loss: 1.4116 2022/08/01 05:21:52 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 05:21:52 - mmengine - INFO - Epoch(train) [30][740/940] lr: 1.0000e-02 eta: 14:14:19 time: 0.8192 data_time: 0.0391 memory: 13619 grad_norm: 4.1152 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/08/01 05:22:05 - mmengine - INFO - Epoch(train) [30][760/940] lr: 1.0000e-02 eta: 14:13:58 time: 0.6685 data_time: 0.0332 memory: 13619 grad_norm: 4.1043 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2318 loss: 1.2318 2022/08/01 05:22:22 - mmengine - INFO - Epoch(train) [30][780/940] lr: 1.0000e-02 eta: 14:13:45 time: 0.8400 data_time: 0.0403 memory: 13619 grad_norm: 4.1300 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3306 loss: 1.3306 2022/08/01 05:22:37 - mmengine - INFO - Epoch(train) [30][800/940] lr: 1.0000e-02 eta: 14:13:28 time: 0.7291 data_time: 0.0296 memory: 13619 grad_norm: 3.9962 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3598 loss: 1.3598 2022/08/01 05:22:53 - mmengine - INFO - Epoch(train) [30][820/940] lr: 1.0000e-02 eta: 14:13:14 time: 0.8261 data_time: 0.0437 memory: 13619 grad_norm: 4.1846 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4736 loss: 1.4736 2022/08/01 05:23:07 - mmengine - INFO - Epoch(train) [30][840/940] lr: 1.0000e-02 eta: 14:12:54 time: 0.6732 data_time: 0.0371 memory: 13619 grad_norm: 4.0815 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3024 loss: 1.3024 2022/08/01 05:23:23 - mmengine - INFO - Epoch(train) [30][860/940] lr: 1.0000e-02 eta: 14:12:41 time: 0.8260 data_time: 0.0461 memory: 13619 grad_norm: 4.1052 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2581 loss: 1.2581 2022/08/01 05:23:39 - mmengine - INFO - Epoch(train) [30][880/940] lr: 1.0000e-02 eta: 14:12:24 time: 0.7572 data_time: 0.0328 memory: 13619 grad_norm: 4.1028 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3580 loss: 1.3580 2022/08/01 05:23:55 - mmengine - INFO - Epoch(train) [30][900/940] lr: 1.0000e-02 eta: 14:12:10 time: 0.8093 data_time: 0.0756 memory: 13619 grad_norm: 4.0318 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3403 loss: 1.3403 2022/08/01 05:24:09 - mmengine - INFO - Epoch(train) [30][920/940] lr: 1.0000e-02 eta: 14:11:51 time: 0.7049 data_time: 0.0300 memory: 13619 grad_norm: 4.0611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3301 loss: 1.3301 2022/08/01 05:24:23 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 05:24:23 - mmengine - INFO - Epoch(train) [30][940/940] lr: 1.0000e-02 eta: 14:11:33 time: 0.7086 data_time: 0.0258 memory: 13619 grad_norm: 4.3281 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.4433 loss: 1.4433 2022/08/01 05:24:23 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/01 05:24:43 - mmengine - INFO - Epoch(val) [30][20/78] eta: 0:00:50 time: 0.8751 data_time: 0.7807 memory: 2186 2022/08/01 05:24:55 - mmengine - INFO - Epoch(val) [30][40/78] eta: 0:00:22 time: 0.5971 data_time: 0.5021 memory: 2186 2022/08/01 05:25:11 - mmengine - INFO - Epoch(val) [30][60/78] eta: 0:00:14 time: 0.8142 data_time: 0.7211 memory: 2186 2022/08/01 05:25:24 - mmengine - INFO - Epoch(val) [30][78/78] acc/top1: 0.6691 acc/top5: 0.8736 acc/mean1: 0.6689 2022/08/01 05:25:43 - mmengine - INFO - Epoch(train) [31][20/940] lr: 1.0000e-02 eta: 14:11:25 time: 0.9539 data_time: 0.6304 memory: 13619 grad_norm: 4.1317 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3779 loss: 1.3779 2022/08/01 05:25:56 - mmengine - INFO - Epoch(train) [31][40/940] lr: 1.0000e-02 eta: 14:11:06 time: 0.6820 data_time: 0.2398 memory: 13619 grad_norm: 3.9703 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3970 loss: 1.3970 2022/08/01 05:26:14 - mmengine - INFO - Epoch(train) [31][60/940] lr: 1.0000e-02 eta: 14:10:54 time: 0.8544 data_time: 0.1395 memory: 13619 grad_norm: 3.9263 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2068 loss: 1.2068 2022/08/01 05:26:28 - mmengine - INFO - Epoch(train) [31][80/940] lr: 1.0000e-02 eta: 14:10:35 time: 0.6992 data_time: 0.0711 memory: 13619 grad_norm: 4.0219 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3713 loss: 1.3713 2022/08/01 05:26:44 - mmengine - INFO - Epoch(train) [31][100/940] lr: 1.0000e-02 eta: 14:10:22 time: 0.8351 data_time: 0.0467 memory: 13619 grad_norm: 4.1207 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3442 loss: 1.3442 2022/08/01 05:26:57 - mmengine - INFO - Epoch(train) [31][120/940] lr: 1.0000e-02 eta: 14:10:00 time: 0.6398 data_time: 0.0303 memory: 13619 grad_norm: 3.9896 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4371 loss: 1.4371 2022/08/01 05:27:14 - mmengine - INFO - Epoch(train) [31][140/940] lr: 1.0000e-02 eta: 14:09:48 time: 0.8555 data_time: 0.0486 memory: 13619 grad_norm: 4.0797 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2562 loss: 1.2562 2022/08/01 05:27:27 - mmengine - INFO - Epoch(train) [31][160/940] lr: 1.0000e-02 eta: 14:09:27 time: 0.6577 data_time: 0.0336 memory: 13619 grad_norm: 4.1686 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3890 loss: 1.3890 2022/08/01 05:27:44 - mmengine - INFO - Epoch(train) [31][180/940] lr: 1.0000e-02 eta: 14:09:15 time: 0.8562 data_time: 0.0536 memory: 13619 grad_norm: 4.0313 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3503 loss: 1.3503 2022/08/01 05:27:58 - mmengine - INFO - Epoch(train) [31][200/940] lr: 1.0000e-02 eta: 14:08:56 time: 0.6984 data_time: 0.0415 memory: 13619 grad_norm: 4.0236 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4238 loss: 1.4238 2022/08/01 05:28:16 - mmengine - INFO - Epoch(train) [31][220/940] lr: 1.0000e-02 eta: 14:08:44 time: 0.8591 data_time: 0.1361 memory: 13619 grad_norm: 4.0187 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.2567 loss: 1.2567 2022/08/01 05:28:29 - mmengine - INFO - Epoch(train) [31][240/940] lr: 1.0000e-02 eta: 14:08:23 time: 0.6533 data_time: 0.1107 memory: 13619 grad_norm: 4.1366 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.2318 loss: 1.2318 2022/08/01 05:28:45 - mmengine - INFO - Epoch(train) [31][260/940] lr: 1.0000e-02 eta: 14:08:10 time: 0.8281 data_time: 0.2011 memory: 13619 grad_norm: 4.1872 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2486 loss: 1.2486 2022/08/01 05:28:59 - mmengine - INFO - Epoch(train) [31][280/940] lr: 1.0000e-02 eta: 14:07:51 time: 0.6963 data_time: 0.1885 memory: 13619 grad_norm: 4.1036 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3901 loss: 1.3901 2022/08/01 05:29:17 - mmengine - INFO - Epoch(train) [31][300/940] lr: 1.0000e-02 eta: 14:07:41 time: 0.9028 data_time: 0.0737 memory: 13619 grad_norm: 4.1164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3228 loss: 1.3228 2022/08/01 05:29:31 - mmengine - INFO - Epoch(train) [31][320/940] lr: 1.0000e-02 eta: 14:07:21 time: 0.6747 data_time: 0.0313 memory: 13619 grad_norm: 4.0680 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2165 loss: 1.2165 2022/08/01 05:29:47 - mmengine - INFO - Epoch(train) [31][340/940] lr: 1.0000e-02 eta: 14:07:08 time: 0.8304 data_time: 0.0416 memory: 13619 grad_norm: 4.2431 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2714 loss: 1.2714 2022/08/01 05:30:01 - mmengine - INFO - Epoch(train) [31][360/940] lr: 1.0000e-02 eta: 14:06:49 time: 0.7004 data_time: 0.0304 memory: 13619 grad_norm: 4.1833 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3835 loss: 1.3835 2022/08/01 05:30:19 - mmengine - INFO - Epoch(train) [31][380/940] lr: 1.0000e-02 eta: 14:06:38 time: 0.8862 data_time: 0.0405 memory: 13619 grad_norm: 4.0925 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2486 loss: 1.2486 2022/08/01 05:30:33 - mmengine - INFO - Epoch(train) [31][400/940] lr: 1.0000e-02 eta: 14:06:19 time: 0.6963 data_time: 0.0320 memory: 13619 grad_norm: 4.0811 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.2902 loss: 1.2902 2022/08/01 05:30:50 - mmengine - INFO - Epoch(train) [31][420/940] lr: 1.0000e-02 eta: 14:06:07 time: 0.8612 data_time: 0.0378 memory: 13619 grad_norm: 4.0553 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.3522 loss: 1.3522 2022/08/01 05:31:03 - mmengine - INFO - Epoch(train) [31][440/940] lr: 1.0000e-02 eta: 14:05:46 time: 0.6499 data_time: 0.0346 memory: 13619 grad_norm: 4.1075 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4266 loss: 1.4266 2022/08/01 05:31:21 - mmengine - INFO - Epoch(train) [31][460/940] lr: 1.0000e-02 eta: 14:05:37 time: 0.9134 data_time: 0.0434 memory: 13619 grad_norm: 4.0882 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3698 loss: 1.3698 2022/08/01 05:31:34 - mmengine - INFO - Epoch(train) [31][480/940] lr: 1.0000e-02 eta: 14:05:13 time: 0.6029 data_time: 0.0363 memory: 13619 grad_norm: 4.0769 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2786 loss: 1.2786 2022/08/01 05:31:50 - mmengine - INFO - Epoch(train) [31][500/940] lr: 1.0000e-02 eta: 14:05:01 time: 0.8455 data_time: 0.0389 memory: 13619 grad_norm: 4.1054 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4331 loss: 1.4331 2022/08/01 05:32:05 - mmengine - INFO - Epoch(train) [31][520/940] lr: 1.0000e-02 eta: 14:04:44 time: 0.7498 data_time: 0.0535 memory: 13619 grad_norm: 4.1765 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3244 loss: 1.3244 2022/08/01 05:32:23 - mmengine - INFO - Epoch(train) [31][540/940] lr: 1.0000e-02 eta: 14:04:32 time: 0.8605 data_time: 0.0440 memory: 13619 grad_norm: 4.1838 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3135 loss: 1.3135 2022/08/01 05:32:37 - mmengine - INFO - Epoch(train) [31][560/940] lr: 1.0000e-02 eta: 14:04:14 time: 0.7175 data_time: 0.0352 memory: 13619 grad_norm: 4.2089 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4202 loss: 1.4202 2022/08/01 05:32:55 - mmengine - INFO - Epoch(train) [31][580/940] lr: 1.0000e-02 eta: 14:04:04 time: 0.8881 data_time: 0.0358 memory: 13619 grad_norm: 4.0757 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3125 loss: 1.3125 2022/08/01 05:33:08 - mmengine - INFO - Epoch(train) [31][600/940] lr: 1.0000e-02 eta: 14:03:43 time: 0.6591 data_time: 0.0396 memory: 13619 grad_norm: 4.1816 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.3229 loss: 1.3229 2022/08/01 05:33:26 - mmengine - INFO - Epoch(train) [31][620/940] lr: 1.0000e-02 eta: 14:03:32 time: 0.8806 data_time: 0.0337 memory: 13619 grad_norm: 4.1492 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2587 loss: 1.2587 2022/08/01 05:33:40 - mmengine - INFO - Epoch(train) [31][640/940] lr: 1.0000e-02 eta: 14:03:14 time: 0.7228 data_time: 0.0329 memory: 13619 grad_norm: 4.1761 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2963 loss: 1.2963 2022/08/01 05:33:57 - mmengine - INFO - Epoch(train) [31][660/940] lr: 1.0000e-02 eta: 14:03:01 time: 0.8367 data_time: 0.0357 memory: 13619 grad_norm: 4.0775 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2680 loss: 1.2680 2022/08/01 05:34:11 - mmengine - INFO - Epoch(train) [31][680/940] lr: 1.0000e-02 eta: 14:02:43 time: 0.7060 data_time: 0.0397 memory: 13619 grad_norm: 4.1144 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2877 loss: 1.2877 2022/08/01 05:34:28 - mmengine - INFO - Epoch(train) [31][700/940] lr: 1.0000e-02 eta: 14:02:30 time: 0.8332 data_time: 0.0377 memory: 13619 grad_norm: 4.1177 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2765 loss: 1.2765 2022/08/01 05:34:42 - mmengine - INFO - Epoch(train) [31][720/940] lr: 1.0000e-02 eta: 14:02:12 time: 0.7276 data_time: 0.0328 memory: 13619 grad_norm: 4.1653 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4009 loss: 1.4009 2022/08/01 05:35:01 - mmengine - INFO - Epoch(train) [31][740/940] lr: 1.0000e-02 eta: 14:02:04 time: 0.9387 data_time: 0.0321 memory: 13619 grad_norm: 4.0469 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2879 loss: 1.2879 2022/08/01 05:35:14 - mmengine - INFO - Epoch(train) [31][760/940] lr: 1.0000e-02 eta: 14:01:42 time: 0.6479 data_time: 0.0392 memory: 13619 grad_norm: 4.0543 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3096 loss: 1.3096 2022/08/01 05:35:31 - mmengine - INFO - Epoch(train) [31][780/940] lr: 1.0000e-02 eta: 14:01:29 time: 0.8318 data_time: 0.0336 memory: 13619 grad_norm: 4.1655 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3653 loss: 1.3653 2022/08/01 05:35:43 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 05:35:43 - mmengine - INFO - Epoch(train) [31][800/940] lr: 1.0000e-02 eta: 14:01:06 time: 0.6096 data_time: 0.0495 memory: 13619 grad_norm: 4.0992 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2555 loss: 1.2555 2022/08/01 05:36:00 - mmengine - INFO - Epoch(train) [31][820/940] lr: 1.0000e-02 eta: 14:00:55 time: 0.8597 data_time: 0.0360 memory: 13619 grad_norm: 4.1293 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2564 loss: 1.2564 2022/08/01 05:36:13 - mmengine - INFO - Epoch(train) [31][840/940] lr: 1.0000e-02 eta: 14:00:33 time: 0.6471 data_time: 0.0343 memory: 13619 grad_norm: 4.0723 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3908 loss: 1.3908 2022/08/01 05:36:31 - mmengine - INFO - Epoch(train) [31][860/940] lr: 1.0000e-02 eta: 14:00:24 time: 0.9161 data_time: 0.0413 memory: 13619 grad_norm: 4.2765 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3958 loss: 1.3958 2022/08/01 05:36:45 - mmengine - INFO - Epoch(train) [31][880/940] lr: 1.0000e-02 eta: 14:00:05 time: 0.7038 data_time: 0.0342 memory: 13619 grad_norm: 4.2117 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4693 loss: 1.4693 2022/08/01 05:37:02 - mmengine - INFO - Epoch(train) [31][900/940] lr: 1.0000e-02 eta: 13:59:52 time: 0.8227 data_time: 0.0399 memory: 13619 grad_norm: 4.2186 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4869 loss: 1.4869 2022/08/01 05:37:15 - mmengine - INFO - Epoch(train) [31][920/940] lr: 1.0000e-02 eta: 13:59:32 time: 0.6764 data_time: 0.0555 memory: 13619 grad_norm: 4.1156 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3750 loss: 1.3750 2022/08/01 05:37:31 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 05:37:31 - mmengine - INFO - Epoch(train) [31][940/940] lr: 1.0000e-02 eta: 13:59:16 time: 0.7763 data_time: 0.0222 memory: 13619 grad_norm: 4.2915 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.3917 loss: 1.3917 2022/08/01 05:37:48 - mmengine - INFO - Epoch(val) [31][20/78] eta: 0:00:50 time: 0.8740 data_time: 0.7790 memory: 2186 2022/08/01 05:38:02 - mmengine - INFO - Epoch(val) [31][40/78] eta: 0:00:24 time: 0.6566 data_time: 0.5673 memory: 2186 2022/08/01 05:38:17 - mmengine - INFO - Epoch(val) [31][60/78] eta: 0:00:13 time: 0.7727 data_time: 0.6778 memory: 2186 2022/08/01 05:38:31 - mmengine - INFO - Epoch(val) [31][78/78] acc/top1: 0.6673 acc/top5: 0.8730 acc/mean1: 0.6671 2022/08/01 05:38:52 - mmengine - INFO - Epoch(train) [32][20/940] lr: 1.0000e-02 eta: 13:59:12 time: 1.0357 data_time: 0.6004 memory: 13619 grad_norm: 3.9414 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1931 loss: 1.1931 2022/08/01 05:39:05 - mmengine - INFO - Epoch(train) [32][40/940] lr: 1.0000e-02 eta: 13:58:51 time: 0.6493 data_time: 0.1816 memory: 13619 grad_norm: 4.0720 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3185 loss: 1.3185 2022/08/01 05:39:22 - mmengine - INFO - Epoch(train) [32][60/940] lr: 1.0000e-02 eta: 13:58:39 time: 0.8596 data_time: 0.1688 memory: 13619 grad_norm: 4.0129 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.2677 loss: 1.2677 2022/08/01 05:39:36 - mmengine - INFO - Epoch(train) [32][80/940] lr: 1.0000e-02 eta: 13:58:19 time: 0.6819 data_time: 0.0583 memory: 13619 grad_norm: 4.0570 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.1618 loss: 1.1618 2022/08/01 05:39:53 - mmengine - INFO - Epoch(train) [32][100/940] lr: 1.0000e-02 eta: 13:58:08 time: 0.8631 data_time: 0.0342 memory: 13619 grad_norm: 4.0895 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3287 loss: 1.3287 2022/08/01 05:40:06 - mmengine - INFO - Epoch(train) [32][120/940] lr: 1.0000e-02 eta: 13:57:46 time: 0.6325 data_time: 0.0372 memory: 13619 grad_norm: 4.0120 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2137 loss: 1.2137 2022/08/01 05:40:24 - mmengine - INFO - Epoch(train) [32][140/940] lr: 1.0000e-02 eta: 13:57:36 time: 0.9083 data_time: 0.1143 memory: 13619 grad_norm: 4.0888 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3591 loss: 1.3591 2022/08/01 05:40:38 - mmengine - INFO - Epoch(train) [32][160/940] lr: 1.0000e-02 eta: 13:57:18 time: 0.7102 data_time: 0.0279 memory: 13619 grad_norm: 4.0600 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3414 loss: 1.3414 2022/08/01 05:40:55 - mmengine - INFO - Epoch(train) [32][180/940] lr: 1.0000e-02 eta: 13:57:05 time: 0.8489 data_time: 0.0570 memory: 13619 grad_norm: 4.1437 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2904 loss: 1.2904 2022/08/01 05:41:09 - mmengine - INFO - Epoch(train) [32][200/940] lr: 1.0000e-02 eta: 13:56:47 time: 0.7044 data_time: 0.0391 memory: 13619 grad_norm: 4.1140 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3288 loss: 1.3288 2022/08/01 05:41:26 - mmengine - INFO - Epoch(train) [32][220/940] lr: 1.0000e-02 eta: 13:56:33 time: 0.8253 data_time: 0.1152 memory: 13619 grad_norm: 4.0781 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2825 loss: 1.2825 2022/08/01 05:41:39 - mmengine - INFO - Epoch(train) [32][240/940] lr: 1.0000e-02 eta: 13:56:14 time: 0.6842 data_time: 0.0692 memory: 13619 grad_norm: 4.1595 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2918 loss: 1.2918 2022/08/01 05:41:56 - mmengine - INFO - Epoch(train) [32][260/940] lr: 1.0000e-02 eta: 13:56:01 time: 0.8370 data_time: 0.0623 memory: 13619 grad_norm: 4.0731 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2106 loss: 1.2106 2022/08/01 05:42:09 - mmengine - INFO - Epoch(train) [32][280/940] lr: 1.0000e-02 eta: 13:55:39 time: 0.6452 data_time: 0.0680 memory: 13619 grad_norm: 4.1387 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3504 loss: 1.3504 2022/08/01 05:42:27 - mmengine - INFO - Epoch(train) [32][300/940] lr: 1.0000e-02 eta: 13:55:29 time: 0.9025 data_time: 0.0920 memory: 13619 grad_norm: 4.0497 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2827 loss: 1.2827 2022/08/01 05:42:42 - mmengine - INFO - Epoch(train) [32][320/940] lr: 1.0000e-02 eta: 13:55:12 time: 0.7417 data_time: 0.0359 memory: 13619 grad_norm: 4.1584 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3186 loss: 1.3186 2022/08/01 05:42:58 - mmengine - INFO - Epoch(train) [32][340/940] lr: 1.0000e-02 eta: 13:54:58 time: 0.7949 data_time: 0.0368 memory: 13619 grad_norm: 4.0948 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3051 loss: 1.3051 2022/08/01 05:43:10 - mmengine - INFO - Epoch(train) [32][360/940] lr: 1.0000e-02 eta: 13:54:36 time: 0.6295 data_time: 0.1396 memory: 13619 grad_norm: 4.0912 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4239 loss: 1.4239 2022/08/01 05:43:27 - mmengine - INFO - Epoch(train) [32][380/940] lr: 1.0000e-02 eta: 13:54:22 time: 0.8188 data_time: 0.1864 memory: 13619 grad_norm: 4.2186 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3701 loss: 1.3701 2022/08/01 05:43:40 - mmengine - INFO - Epoch(train) [32][400/940] lr: 1.0000e-02 eta: 13:54:02 time: 0.6627 data_time: 0.1502 memory: 13619 grad_norm: 4.1566 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4701 loss: 1.4701 2022/08/01 05:43:56 - mmengine - INFO - Epoch(train) [32][420/940] lr: 1.0000e-02 eta: 13:53:48 time: 0.8281 data_time: 0.0996 memory: 13619 grad_norm: 4.1472 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.4417 loss: 1.4417 2022/08/01 05:44:11 - mmengine - INFO - Epoch(train) [32][440/940] lr: 1.0000e-02 eta: 13:53:30 time: 0.7038 data_time: 0.0518 memory: 13619 grad_norm: 4.0872 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.2419 loss: 1.2419 2022/08/01 05:44:27 - mmengine - INFO - Epoch(train) [32][460/940] lr: 1.0000e-02 eta: 13:53:17 time: 0.8402 data_time: 0.1190 memory: 13619 grad_norm: 4.0673 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2834 loss: 1.2834 2022/08/01 05:44:41 - mmengine - INFO - Epoch(train) [32][480/940] lr: 1.0000e-02 eta: 13:52:58 time: 0.6970 data_time: 0.2071 memory: 13619 grad_norm: 4.1323 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4387 loss: 1.4387 2022/08/01 05:44:58 - mmengine - INFO - Epoch(train) [32][500/940] lr: 1.0000e-02 eta: 13:52:44 time: 0.8228 data_time: 0.2496 memory: 13619 grad_norm: 4.1938 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3956 loss: 1.3956 2022/08/01 05:45:12 - mmengine - INFO - Epoch(train) [32][520/940] lr: 1.0000e-02 eta: 13:52:26 time: 0.7101 data_time: 0.1758 memory: 13619 grad_norm: 4.1631 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4417 loss: 1.4417 2022/08/01 05:45:28 - mmengine - INFO - Epoch(train) [32][540/940] lr: 1.0000e-02 eta: 13:52:12 time: 0.8009 data_time: 0.1876 memory: 13619 grad_norm: 4.1826 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3964 loss: 1.3964 2022/08/01 05:45:42 - mmengine - INFO - Epoch(train) [32][560/940] lr: 1.0000e-02 eta: 13:51:54 time: 0.7249 data_time: 0.1066 memory: 13619 grad_norm: 4.1030 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4027 loss: 1.4027 2022/08/01 05:46:00 - mmengine - INFO - Epoch(train) [32][580/940] lr: 1.0000e-02 eta: 13:51:42 time: 0.8521 data_time: 0.0555 memory: 13619 grad_norm: 4.2123 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4006 loss: 1.4006 2022/08/01 05:46:13 - mmengine - INFO - Epoch(train) [32][600/940] lr: 1.0000e-02 eta: 13:51:22 time: 0.6883 data_time: 0.0332 memory: 13619 grad_norm: 4.1070 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3713 loss: 1.3713 2022/08/01 05:46:30 - mmengine - INFO - Epoch(train) [32][620/940] lr: 1.0000e-02 eta: 13:51:08 time: 0.8104 data_time: 0.0599 memory: 13619 grad_norm: 4.1039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2834 loss: 1.2834 2022/08/01 05:46:44 - mmengine - INFO - Epoch(train) [32][640/940] lr: 1.0000e-02 eta: 13:50:50 time: 0.7100 data_time: 0.0375 memory: 13619 grad_norm: 4.1288 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3073 loss: 1.3073 2022/08/01 05:47:01 - mmengine - INFO - Epoch(train) [32][660/940] lr: 1.0000e-02 eta: 13:50:38 time: 0.8624 data_time: 0.0392 memory: 13619 grad_norm: 4.1853 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.3796 loss: 1.3796 2022/08/01 05:47:14 - mmengine - INFO - Epoch(train) [32][680/940] lr: 1.0000e-02 eta: 13:50:17 time: 0.6409 data_time: 0.0346 memory: 13619 grad_norm: 4.1607 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2394 loss: 1.2394 2022/08/01 05:47:32 - mmengine - INFO - Epoch(train) [32][700/940] lr: 1.0000e-02 eta: 13:50:07 time: 0.9086 data_time: 0.0520 memory: 13619 grad_norm: 4.1620 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3201 loss: 1.3201 2022/08/01 05:47:45 - mmengine - INFO - Epoch(train) [32][720/940] lr: 1.0000e-02 eta: 13:49:46 time: 0.6595 data_time: 0.0320 memory: 13619 grad_norm: 4.1392 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3943 loss: 1.3943 2022/08/01 05:48:02 - mmengine - INFO - Epoch(train) [32][740/940] lr: 1.0000e-02 eta: 13:49:34 time: 0.8559 data_time: 0.0388 memory: 13619 grad_norm: 4.1988 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3639 loss: 1.3639 2022/08/01 05:48:16 - mmengine - INFO - Epoch(train) [32][760/940] lr: 1.0000e-02 eta: 13:49:14 time: 0.6690 data_time: 0.0334 memory: 13619 grad_norm: 4.1919 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3893 loss: 1.3893 2022/08/01 05:48:35 - mmengine - INFO - Epoch(train) [32][780/940] lr: 1.0000e-02 eta: 13:49:06 time: 0.9425 data_time: 0.0398 memory: 13619 grad_norm: 4.1582 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2721 loss: 1.2721 2022/08/01 05:48:47 - mmengine - INFO - Epoch(train) [32][800/940] lr: 1.0000e-02 eta: 13:48:45 time: 0.6483 data_time: 0.0343 memory: 13619 grad_norm: 4.1537 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2778 loss: 1.2778 2022/08/01 05:49:04 - mmengine - INFO - Epoch(train) [32][820/940] lr: 1.0000e-02 eta: 13:48:31 time: 0.8281 data_time: 0.0399 memory: 13619 grad_norm: 4.0981 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2854 loss: 1.2854 2022/08/01 05:49:17 - mmengine - INFO - Epoch(train) [32][840/940] lr: 1.0000e-02 eta: 13:48:11 time: 0.6578 data_time: 0.0378 memory: 13619 grad_norm: 4.1126 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.3474 loss: 1.3474 2022/08/01 05:49:34 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 05:49:34 - mmengine - INFO - Epoch(train) [32][860/940] lr: 1.0000e-02 eta: 13:47:58 time: 0.8320 data_time: 0.0548 memory: 13619 grad_norm: 4.1368 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4059 loss: 1.4059 2022/08/01 05:49:48 - mmengine - INFO - Epoch(train) [32][880/940] lr: 1.0000e-02 eta: 13:47:38 time: 0.6918 data_time: 0.0415 memory: 13619 grad_norm: 4.1346 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.3645 loss: 1.3645 2022/08/01 05:50:04 - mmengine - INFO - Epoch(train) [32][900/940] lr: 1.0000e-02 eta: 13:47:25 time: 0.8291 data_time: 0.0391 memory: 13619 grad_norm: 4.2125 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2952 loss: 1.2952 2022/08/01 05:50:19 - mmengine - INFO - Epoch(train) [32][920/940] lr: 1.0000e-02 eta: 13:47:08 time: 0.7363 data_time: 0.0340 memory: 13619 grad_norm: 4.1723 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4217 loss: 1.4217 2022/08/01 05:50:34 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 05:50:34 - mmengine - INFO - Epoch(train) [32][940/940] lr: 1.0000e-02 eta: 13:46:52 time: 0.7597 data_time: 0.0271 memory: 13619 grad_norm: 4.4460 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.4627 loss: 1.4627 2022/08/01 05:50:51 - mmengine - INFO - Epoch(val) [32][20/78] eta: 0:00:49 time: 0.8508 data_time: 0.7606 memory: 2186 2022/08/01 05:51:03 - mmengine - INFO - Epoch(val) [32][40/78] eta: 0:00:23 time: 0.6091 data_time: 0.5154 memory: 2186 2022/08/01 05:51:20 - mmengine - INFO - Epoch(val) [32][60/78] eta: 0:00:14 time: 0.8114 data_time: 0.7170 memory: 2186 2022/08/01 05:51:33 - mmengine - INFO - Epoch(val) [32][78/78] acc/top1: 0.6567 acc/top5: 0.8625 acc/mean1: 0.6565 2022/08/01 05:51:54 - mmengine - INFO - Epoch(train) [33][20/940] lr: 1.0000e-02 eta: 13:46:47 time: 1.0307 data_time: 0.3876 memory: 13619 grad_norm: 4.1045 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3274 loss: 1.3274 2022/08/01 05:52:07 - mmengine - INFO - Epoch(train) [33][40/940] lr: 1.0000e-02 eta: 13:46:25 time: 0.6318 data_time: 0.1722 memory: 13619 grad_norm: 3.9827 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2297 loss: 1.2297 2022/08/01 05:52:24 - mmengine - INFO - Epoch(train) [33][60/940] lr: 1.0000e-02 eta: 13:46:14 time: 0.8833 data_time: 0.2689 memory: 13619 grad_norm: 4.1252 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3026 loss: 1.3026 2022/08/01 05:52:38 - mmengine - INFO - Epoch(train) [33][80/940] lr: 1.0000e-02 eta: 13:45:56 time: 0.7121 data_time: 0.1881 memory: 13619 grad_norm: 4.0944 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1711 loss: 1.1711 2022/08/01 05:52:56 - mmengine - INFO - Epoch(train) [33][100/940] lr: 1.0000e-02 eta: 13:45:45 time: 0.8739 data_time: 0.1848 memory: 13619 grad_norm: 4.0822 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3036 loss: 1.3036 2022/08/01 05:53:09 - mmengine - INFO - Epoch(train) [33][120/940] lr: 1.0000e-02 eta: 13:45:24 time: 0.6559 data_time: 0.0429 memory: 13619 grad_norm: 4.1886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2202 loss: 1.2202 2022/08/01 05:53:27 - mmengine - INFO - Epoch(train) [33][140/940] lr: 1.0000e-02 eta: 13:45:14 time: 0.9053 data_time: 0.0349 memory: 13619 grad_norm: 4.0264 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2734 loss: 1.2734 2022/08/01 05:53:40 - mmengine - INFO - Epoch(train) [33][160/940] lr: 1.0000e-02 eta: 13:44:52 time: 0.6315 data_time: 0.0464 memory: 13619 grad_norm: 4.1466 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3423 loss: 1.3423 2022/08/01 05:53:56 - mmengine - INFO - Epoch(train) [33][180/940] lr: 1.0000e-02 eta: 13:44:38 time: 0.7965 data_time: 0.0355 memory: 13619 grad_norm: 4.1065 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3303 loss: 1.3303 2022/08/01 05:54:09 - mmengine - INFO - Epoch(train) [33][200/940] lr: 1.0000e-02 eta: 13:44:18 time: 0.6695 data_time: 0.0384 memory: 13619 grad_norm: 4.1618 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4478 loss: 1.4478 2022/08/01 05:54:26 - mmengine - INFO - Epoch(train) [33][220/940] lr: 1.0000e-02 eta: 13:44:06 time: 0.8561 data_time: 0.0382 memory: 13619 grad_norm: 4.1567 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4352 loss: 1.4352 2022/08/01 05:54:42 - mmengine - INFO - Epoch(train) [33][240/940] lr: 1.0000e-02 eta: 13:43:51 time: 0.7892 data_time: 0.1876 memory: 13619 grad_norm: 4.2765 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2104 loss: 1.2104 2022/08/01 05:54:58 - mmengine - INFO - Epoch(train) [33][260/940] lr: 1.0000e-02 eta: 13:43:36 time: 0.7965 data_time: 0.2803 memory: 13619 grad_norm: 4.1642 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3834 loss: 1.3834 2022/08/01 05:55:12 - mmengine - INFO - Epoch(train) [33][280/940] lr: 1.0000e-02 eta: 13:43:17 time: 0.6978 data_time: 0.2549 memory: 13619 grad_norm: 4.1247 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3530 loss: 1.3530 2022/08/01 05:55:28 - mmengine - INFO - Epoch(train) [33][300/940] lr: 1.0000e-02 eta: 13:43:03 time: 0.8209 data_time: 0.4222 memory: 13619 grad_norm: 3.9833 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2367 loss: 1.2367 2022/08/01 05:55:43 - mmengine - INFO - Epoch(train) [33][320/940] lr: 1.0000e-02 eta: 13:42:47 time: 0.7486 data_time: 0.3745 memory: 13619 grad_norm: 4.0887 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3499 loss: 1.3499 2022/08/01 05:55:58 - mmengine - INFO - Epoch(train) [33][340/940] lr: 1.0000e-02 eta: 13:42:30 time: 0.7451 data_time: 0.3204 memory: 13619 grad_norm: 4.1408 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2843 loss: 1.2843 2022/08/01 05:56:14 - mmengine - INFO - Epoch(train) [33][360/940] lr: 1.0000e-02 eta: 13:42:15 time: 0.7792 data_time: 0.3774 memory: 13619 grad_norm: 4.1689 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3398 loss: 1.3398 2022/08/01 05:56:30 - mmengine - INFO - Epoch(train) [33][380/940] lr: 1.0000e-02 eta: 13:42:00 time: 0.7934 data_time: 0.3960 memory: 13619 grad_norm: 4.1089 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2163 loss: 1.2163 2022/08/01 05:56:44 - mmengine - INFO - Epoch(train) [33][400/940] lr: 1.0000e-02 eta: 13:41:42 time: 0.7239 data_time: 0.3406 memory: 13619 grad_norm: 4.1441 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2849 loss: 1.2849 2022/08/01 05:56:59 - mmengine - INFO - Epoch(train) [33][420/940] lr: 1.0000e-02 eta: 13:41:25 time: 0.7451 data_time: 0.2483 memory: 13619 grad_norm: 4.2503 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.3301 loss: 1.3301 2022/08/01 05:57:14 - mmengine - INFO - Epoch(train) [33][440/940] lr: 1.0000e-02 eta: 13:41:09 time: 0.7591 data_time: 0.4143 memory: 13619 grad_norm: 4.1669 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3405 loss: 1.3405 2022/08/01 05:57:29 - mmengine - INFO - Epoch(train) [33][460/940] lr: 1.0000e-02 eta: 13:40:52 time: 0.7406 data_time: 0.3695 memory: 13619 grad_norm: 4.2096 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3483 loss: 1.3483 2022/08/01 05:57:44 - mmengine - INFO - Epoch(train) [33][480/940] lr: 1.0000e-02 eta: 13:40:36 time: 0.7602 data_time: 0.2444 memory: 13619 grad_norm: 4.2275 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4204 loss: 1.4204 2022/08/01 05:58:01 - mmengine - INFO - Epoch(train) [33][500/940] lr: 1.0000e-02 eta: 13:40:23 time: 0.8513 data_time: 0.0738 memory: 13619 grad_norm: 4.2464 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3923 loss: 1.3923 2022/08/01 05:58:15 - mmengine - INFO - Epoch(train) [33][520/940] lr: 1.0000e-02 eta: 13:40:03 time: 0.6654 data_time: 0.0940 memory: 13619 grad_norm: 4.1613 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2361 loss: 1.2361 2022/08/01 05:58:31 - mmengine - INFO - Epoch(train) [33][540/940] lr: 1.0000e-02 eta: 13:39:49 time: 0.8167 data_time: 0.1438 memory: 13619 grad_norm: 4.1751 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2367 loss: 1.2367 2022/08/01 05:58:44 - mmengine - INFO - Epoch(train) [33][560/940] lr: 1.0000e-02 eta: 13:39:29 time: 0.6663 data_time: 0.1786 memory: 13619 grad_norm: 4.0372 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2468 loss: 1.2468 2022/08/01 05:59:02 - mmengine - INFO - Epoch(train) [33][580/940] lr: 1.0000e-02 eta: 13:39:17 time: 0.8618 data_time: 0.2124 memory: 13619 grad_norm: 4.1150 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4503 loss: 1.4503 2022/08/01 05:59:16 - mmengine - INFO - Epoch(train) [33][600/940] lr: 1.0000e-02 eta: 13:39:00 time: 0.7224 data_time: 0.1434 memory: 13619 grad_norm: 4.2201 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2426 loss: 1.2426 2022/08/01 05:59:32 - mmengine - INFO - Epoch(train) [33][620/940] lr: 1.0000e-02 eta: 13:38:46 time: 0.8245 data_time: 0.1541 memory: 13619 grad_norm: 4.1631 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.3797 loss: 1.3797 2022/08/01 05:59:46 - mmengine - INFO - Epoch(train) [33][640/940] lr: 1.0000e-02 eta: 13:38:26 time: 0.6702 data_time: 0.0986 memory: 13619 grad_norm: 4.1402 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2946 loss: 1.2946 2022/08/01 06:00:07 - mmengine - INFO - Epoch(train) [33][660/940] lr: 1.0000e-02 eta: 13:38:21 time: 1.0360 data_time: 0.0508 memory: 13619 grad_norm: 4.0859 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2493 loss: 1.2493 2022/08/01 06:00:19 - mmengine - INFO - Epoch(train) [33][680/940] lr: 1.0000e-02 eta: 13:37:59 time: 0.6052 data_time: 0.0287 memory: 13619 grad_norm: 4.2176 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3699 loss: 1.3699 2022/08/01 06:00:36 - mmengine - INFO - Epoch(train) [33][700/940] lr: 1.0000e-02 eta: 13:37:46 time: 0.8381 data_time: 0.0414 memory: 13619 grad_norm: 4.1336 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2376 loss: 1.2376 2022/08/01 06:00:49 - mmengine - INFO - Epoch(train) [33][720/940] lr: 1.0000e-02 eta: 13:37:26 time: 0.6792 data_time: 0.0359 memory: 13619 grad_norm: 4.2680 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4065 loss: 1.4065 2022/08/01 06:01:06 - mmengine - INFO - Epoch(train) [33][740/940] lr: 1.0000e-02 eta: 13:37:15 time: 0.8690 data_time: 0.0437 memory: 13619 grad_norm: 4.2211 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4178 loss: 1.4178 2022/08/01 06:01:20 - mmengine - INFO - Epoch(train) [33][760/940] lr: 1.0000e-02 eta: 13:36:56 time: 0.6995 data_time: 0.0354 memory: 13619 grad_norm: 4.1204 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3271 loss: 1.3271 2022/08/01 06:01:37 - mmengine - INFO - Epoch(train) [33][780/940] lr: 1.0000e-02 eta: 13:36:43 time: 0.8486 data_time: 0.0406 memory: 13619 grad_norm: 4.1063 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2633 loss: 1.2633 2022/08/01 06:01:52 - mmengine - INFO - Epoch(train) [33][800/940] lr: 1.0000e-02 eta: 13:36:25 time: 0.7000 data_time: 0.0361 memory: 13619 grad_norm: 4.2043 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3257 loss: 1.3257 2022/08/01 06:02:08 - mmengine - INFO - Epoch(train) [33][820/940] lr: 1.0000e-02 eta: 13:36:12 time: 0.8522 data_time: 0.0448 memory: 13619 grad_norm: 4.1666 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3637 loss: 1.3637 2022/08/01 06:02:22 - mmengine - INFO - Epoch(train) [33][840/940] lr: 1.0000e-02 eta: 13:35:54 time: 0.6983 data_time: 0.0379 memory: 13619 grad_norm: 4.2661 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3750 loss: 1.3750 2022/08/01 06:02:39 - mmengine - INFO - Epoch(train) [33][860/940] lr: 1.0000e-02 eta: 13:35:39 time: 0.8024 data_time: 0.0393 memory: 13619 grad_norm: 4.1853 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.2997 loss: 1.2997 2022/08/01 06:02:52 - mmengine - INFO - Epoch(train) [33][880/940] lr: 1.0000e-02 eta: 13:35:20 time: 0.6868 data_time: 0.0331 memory: 13619 grad_norm: 4.2730 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3236 loss: 1.3236 2022/08/01 06:03:08 - mmengine - INFO - Epoch(train) [33][900/940] lr: 1.0000e-02 eta: 13:35:05 time: 0.7963 data_time: 0.0426 memory: 13619 grad_norm: 4.2031 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1976 loss: 1.1976 2022/08/01 06:03:22 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:03:22 - mmengine - INFO - Epoch(train) [33][920/940] lr: 1.0000e-02 eta: 13:34:46 time: 0.6891 data_time: 0.0299 memory: 13619 grad_norm: 4.2543 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.3538 loss: 1.3538 2022/08/01 06:03:36 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:03:36 - mmengine - INFO - Epoch(train) [33][940/940] lr: 1.0000e-02 eta: 13:34:28 time: 0.7137 data_time: 0.0262 memory: 13619 grad_norm: 4.2170 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3661 loss: 1.3661 2022/08/01 06:03:36 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/01 06:03:56 - mmengine - INFO - Epoch(val) [33][20/78] eta: 0:00:50 time: 0.8752 data_time: 0.7829 memory: 2186 2022/08/01 06:04:08 - mmengine - INFO - Epoch(val) [33][40/78] eta: 0:00:22 time: 0.6011 data_time: 0.5113 memory: 2186 2022/08/01 06:04:25 - mmengine - INFO - Epoch(val) [33][60/78] eta: 0:00:15 time: 0.8464 data_time: 0.7472 memory: 2186 2022/08/01 06:04:37 - mmengine - INFO - Epoch(val) [33][78/78] acc/top1: 0.6504 acc/top5: 0.8599 acc/mean1: 0.6503 2022/08/01 06:04:57 - mmengine - INFO - Epoch(train) [34][20/940] lr: 1.0000e-02 eta: 13:34:22 time: 1.0065 data_time: 0.5801 memory: 13619 grad_norm: 4.0210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2370 loss: 1.2370 2022/08/01 06:05:10 - mmengine - INFO - Epoch(train) [34][40/940] lr: 1.0000e-02 eta: 13:34:02 time: 0.6530 data_time: 0.2515 memory: 13619 grad_norm: 4.0846 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2918 loss: 1.2918 2022/08/01 06:05:29 - mmengine - INFO - Epoch(train) [34][60/940] lr: 1.0000e-02 eta: 13:33:54 time: 0.9597 data_time: 0.4025 memory: 13619 grad_norm: 4.0021 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3521 loss: 1.3521 2022/08/01 06:05:43 - mmengine - INFO - Epoch(train) [34][80/940] lr: 1.0000e-02 eta: 13:33:34 time: 0.6729 data_time: 0.2080 memory: 13619 grad_norm: 4.1594 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.3966 loss: 1.3966 2022/08/01 06:06:00 - mmengine - INFO - Epoch(train) [34][100/940] lr: 1.0000e-02 eta: 13:33:22 time: 0.8551 data_time: 0.3415 memory: 13619 grad_norm: 4.3056 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3508 loss: 1.3508 2022/08/01 06:06:14 - mmengine - INFO - Epoch(train) [34][120/940] lr: 1.0000e-02 eta: 13:33:03 time: 0.7039 data_time: 0.1653 memory: 13619 grad_norm: 4.0942 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3514 loss: 1.3514 2022/08/01 06:06:31 - mmengine - INFO - Epoch(train) [34][140/940] lr: 1.0000e-02 eta: 13:32:51 time: 0.8719 data_time: 0.1533 memory: 13619 grad_norm: 4.1951 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3706 loss: 1.3706 2022/08/01 06:06:44 - mmengine - INFO - Epoch(train) [34][160/940] lr: 1.0000e-02 eta: 13:32:31 time: 0.6480 data_time: 0.0520 memory: 13619 grad_norm: 4.1399 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1858 loss: 1.1858 2022/08/01 06:07:02 - mmengine - INFO - Epoch(train) [34][180/940] lr: 1.0000e-02 eta: 13:32:20 time: 0.8852 data_time: 0.2534 memory: 13619 grad_norm: 4.0485 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3088 loss: 1.3088 2022/08/01 06:07:14 - mmengine - INFO - Epoch(train) [34][200/940] lr: 1.0000e-02 eta: 13:31:56 time: 0.5761 data_time: 0.1428 memory: 13619 grad_norm: 4.1432 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2718 loss: 1.2718 2022/08/01 06:07:31 - mmengine - INFO - Epoch(train) [34][220/940] lr: 1.0000e-02 eta: 13:31:43 time: 0.8386 data_time: 0.4737 memory: 13619 grad_norm: 4.2627 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3843 loss: 1.3843 2022/08/01 06:07:44 - mmengine - INFO - Epoch(train) [34][240/940] lr: 1.0000e-02 eta: 13:31:24 time: 0.6951 data_time: 0.4018 memory: 13619 grad_norm: 4.2152 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3109 loss: 1.3109 2022/08/01 06:08:01 - mmengine - INFO - Epoch(train) [34][260/940] lr: 1.0000e-02 eta: 13:31:12 time: 0.8549 data_time: 0.4461 memory: 13619 grad_norm: 4.1879 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4648 loss: 1.4648 2022/08/01 06:08:15 - mmengine - INFO - Epoch(train) [34][280/940] lr: 1.0000e-02 eta: 13:30:53 time: 0.6855 data_time: 0.1905 memory: 13619 grad_norm: 4.2744 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3443 loss: 1.3443 2022/08/01 06:08:34 - mmengine - INFO - Epoch(train) [34][300/940] lr: 1.0000e-02 eta: 13:30:44 time: 0.9380 data_time: 0.1239 memory: 13619 grad_norm: 4.0894 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.2788 loss: 1.2788 2022/08/01 06:08:47 - mmengine - INFO - Epoch(train) [34][320/940] lr: 1.0000e-02 eta: 13:30:23 time: 0.6572 data_time: 0.0337 memory: 13619 grad_norm: 4.2284 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2040 loss: 1.2040 2022/08/01 06:09:04 - mmengine - INFO - Epoch(train) [34][340/940] lr: 1.0000e-02 eta: 13:30:12 time: 0.8686 data_time: 0.0384 memory: 13619 grad_norm: 4.2437 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2736 loss: 1.2736 2022/08/01 06:09:19 - mmengine - INFO - Epoch(train) [34][360/940] lr: 1.0000e-02 eta: 13:29:53 time: 0.7052 data_time: 0.0334 memory: 13619 grad_norm: 4.2350 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3351 loss: 1.3351 2022/08/01 06:09:36 - mmengine - INFO - Epoch(train) [34][380/940] lr: 1.0000e-02 eta: 13:29:41 time: 0.8589 data_time: 0.0361 memory: 13619 grad_norm: 4.1125 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2135 loss: 1.2135 2022/08/01 06:09:49 - mmengine - INFO - Epoch(train) [34][400/940] lr: 1.0000e-02 eta: 13:29:21 time: 0.6652 data_time: 0.0395 memory: 13619 grad_norm: 4.1505 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5024 loss: 1.5024 2022/08/01 06:10:05 - mmengine - INFO - Epoch(train) [34][420/940] lr: 1.0000e-02 eta: 13:29:06 time: 0.7979 data_time: 0.0406 memory: 13619 grad_norm: 4.0441 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2399 loss: 1.2399 2022/08/01 06:10:18 - mmengine - INFO - Epoch(train) [34][440/940] lr: 1.0000e-02 eta: 13:28:46 time: 0.6537 data_time: 0.0346 memory: 13619 grad_norm: 4.1868 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2252 loss: 1.2252 2022/08/01 06:10:35 - mmengine - INFO - Epoch(train) [34][460/940] lr: 1.0000e-02 eta: 13:28:34 time: 0.8549 data_time: 0.0580 memory: 13619 grad_norm: 4.1381 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2126 loss: 1.2126 2022/08/01 06:10:48 - mmengine - INFO - Epoch(train) [34][480/940] lr: 1.0000e-02 eta: 13:28:13 time: 0.6516 data_time: 0.0381 memory: 13619 grad_norm: 4.1373 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3298 loss: 1.3298 2022/08/01 06:11:06 - mmengine - INFO - Epoch(train) [34][500/940] lr: 1.0000e-02 eta: 13:28:02 time: 0.8926 data_time: 0.0395 memory: 13619 grad_norm: 4.0564 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3752 loss: 1.3752 2022/08/01 06:11:20 - mmengine - INFO - Epoch(train) [34][520/940] lr: 1.0000e-02 eta: 13:27:44 time: 0.6982 data_time: 0.0314 memory: 13619 grad_norm: 4.2162 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3004 loss: 1.3004 2022/08/01 06:11:37 - mmengine - INFO - Epoch(train) [34][540/940] lr: 1.0000e-02 eta: 13:27:31 time: 0.8508 data_time: 0.0339 memory: 13619 grad_norm: 4.1829 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4082 loss: 1.4082 2022/08/01 06:11:50 - mmengine - INFO - Epoch(train) [34][560/940] lr: 1.0000e-02 eta: 13:27:11 time: 0.6617 data_time: 0.0335 memory: 13619 grad_norm: 4.0737 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2545 loss: 1.2545 2022/08/01 06:12:08 - mmengine - INFO - Epoch(train) [34][580/940] lr: 1.0000e-02 eta: 13:26:59 time: 0.8719 data_time: 0.0391 memory: 13619 grad_norm: 4.1854 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2951 loss: 1.2951 2022/08/01 06:12:21 - mmengine - INFO - Epoch(train) [34][600/940] lr: 1.0000e-02 eta: 13:26:40 time: 0.6649 data_time: 0.0287 memory: 13619 grad_norm: 4.1700 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2990 loss: 1.2990 2022/08/01 06:12:39 - mmengine - INFO - Epoch(train) [34][620/940] lr: 1.0000e-02 eta: 13:26:28 time: 0.8723 data_time: 0.0554 memory: 13619 grad_norm: 4.1222 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3806 loss: 1.3806 2022/08/01 06:12:53 - mmengine - INFO - Epoch(train) [34][640/940] lr: 1.0000e-02 eta: 13:26:10 time: 0.7211 data_time: 0.0314 memory: 13619 grad_norm: 4.2008 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4382 loss: 1.4382 2022/08/01 06:13:10 - mmengine - INFO - Epoch(train) [34][660/940] lr: 1.0000e-02 eta: 13:25:57 time: 0.8365 data_time: 0.0374 memory: 13619 grad_norm: 4.1222 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3472 loss: 1.3472 2022/08/01 06:13:24 - mmengine - INFO - Epoch(train) [34][680/940] lr: 1.0000e-02 eta: 13:25:40 time: 0.7383 data_time: 0.0540 memory: 13619 grad_norm: 4.0514 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2377 loss: 1.2377 2022/08/01 06:13:40 - mmengine - INFO - Epoch(train) [34][700/940] lr: 1.0000e-02 eta: 13:25:25 time: 0.7783 data_time: 0.1069 memory: 13619 grad_norm: 4.2609 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.3477 loss: 1.3477 2022/08/01 06:13:55 - mmengine - INFO - Epoch(train) [34][720/940] lr: 1.0000e-02 eta: 13:25:07 time: 0.7319 data_time: 0.0814 memory: 13619 grad_norm: 4.2772 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3848 loss: 1.3848 2022/08/01 06:14:12 - mmengine - INFO - Epoch(train) [34][740/940] lr: 1.0000e-02 eta: 13:24:55 time: 0.8481 data_time: 0.0399 memory: 13619 grad_norm: 4.1422 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5226 loss: 1.5226 2022/08/01 06:14:25 - mmengine - INFO - Epoch(train) [34][760/940] lr: 1.0000e-02 eta: 13:24:36 time: 0.6921 data_time: 0.0351 memory: 13619 grad_norm: 4.1841 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3074 loss: 1.3074 2022/08/01 06:14:41 - mmengine - INFO - Epoch(train) [34][780/940] lr: 1.0000e-02 eta: 13:24:21 time: 0.8011 data_time: 0.0393 memory: 13619 grad_norm: 4.1987 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2804 loss: 1.2804 2022/08/01 06:14:55 - mmengine - INFO - Epoch(train) [34][800/940] lr: 1.0000e-02 eta: 13:24:02 time: 0.6808 data_time: 0.0417 memory: 13619 grad_norm: 4.1994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3797 loss: 1.3797 2022/08/01 06:15:13 - mmengine - INFO - Epoch(train) [34][820/940] lr: 1.0000e-02 eta: 13:23:51 time: 0.8866 data_time: 0.0397 memory: 13619 grad_norm: 4.2157 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3877 loss: 1.3877 2022/08/01 06:15:27 - mmengine - INFO - Epoch(train) [34][840/940] lr: 1.0000e-02 eta: 13:23:32 time: 0.6961 data_time: 0.0429 memory: 13619 grad_norm: 4.2096 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3757 loss: 1.3757 2022/08/01 06:15:44 - mmengine - INFO - Epoch(train) [34][860/940] lr: 1.0000e-02 eta: 13:23:19 time: 0.8320 data_time: 0.0339 memory: 13619 grad_norm: 4.1886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2290 loss: 1.2290 2022/08/01 06:15:57 - mmengine - INFO - Epoch(train) [34][880/940] lr: 1.0000e-02 eta: 13:23:00 time: 0.6921 data_time: 0.0404 memory: 13619 grad_norm: 4.2532 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4047 loss: 1.4047 2022/08/01 06:16:15 - mmengine - INFO - Epoch(train) [34][900/940] lr: 1.0000e-02 eta: 13:22:48 time: 0.8728 data_time: 0.0355 memory: 13619 grad_norm: 4.2180 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3521 loss: 1.3521 2022/08/01 06:16:28 - mmengine - INFO - Epoch(train) [34][920/940] lr: 1.0000e-02 eta: 13:22:28 time: 0.6595 data_time: 0.0452 memory: 13619 grad_norm: 4.0488 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3578 loss: 1.3578 2022/08/01 06:16:40 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:16:40 - mmengine - INFO - Epoch(train) [34][940/940] lr: 1.0000e-02 eta: 13:22:07 time: 0.6287 data_time: 0.0270 memory: 13619 grad_norm: 4.3934 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.3345 loss: 1.3345 2022/08/01 06:16:58 - mmengine - INFO - Epoch(val) [34][20/78] eta: 0:00:50 time: 0.8690 data_time: 0.7747 memory: 2186 2022/08/01 06:17:09 - mmengine - INFO - Epoch(val) [34][40/78] eta: 0:00:21 time: 0.5775 data_time: 0.4810 memory: 2186 2022/08/01 06:17:26 - mmengine - INFO - Epoch(val) [34][60/78] eta: 0:00:14 time: 0.8253 data_time: 0.7332 memory: 2186 2022/08/01 06:17:40 - mmengine - INFO - Epoch(val) [34][78/78] acc/top1: 0.6651 acc/top5: 0.8703 acc/mean1: 0.6651 2022/08/01 06:18:04 - mmengine - INFO - Epoch(train) [35][20/940] lr: 1.0000e-02 eta: 13:22:06 time: 1.1546 data_time: 0.3146 memory: 13619 grad_norm: 4.1389 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3102 loss: 1.3102 2022/08/01 06:18:17 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:18:17 - mmengine - INFO - Epoch(train) [35][40/940] lr: 1.0000e-02 eta: 13:21:47 time: 0.6805 data_time: 0.0303 memory: 13619 grad_norm: 4.0826 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1919 loss: 1.1919 2022/08/01 06:18:35 - mmengine - INFO - Epoch(train) [35][60/940] lr: 1.0000e-02 eta: 13:21:35 time: 0.8596 data_time: 0.0353 memory: 13619 grad_norm: 4.1270 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3199 loss: 1.3199 2022/08/01 06:18:49 - mmengine - INFO - Epoch(train) [35][80/940] lr: 1.0000e-02 eta: 13:21:17 time: 0.7082 data_time: 0.0437 memory: 13619 grad_norm: 4.1037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2651 loss: 1.2651 2022/08/01 06:19:05 - mmengine - INFO - Epoch(train) [35][100/940] lr: 1.0000e-02 eta: 13:21:03 time: 0.8197 data_time: 0.0365 memory: 13619 grad_norm: 4.0739 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1982 loss: 1.1982 2022/08/01 06:19:19 - mmengine - INFO - Epoch(train) [35][120/940] lr: 1.0000e-02 eta: 13:20:44 time: 0.6782 data_time: 0.0384 memory: 13619 grad_norm: 4.2042 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2977 loss: 1.2977 2022/08/01 06:19:35 - mmengine - INFO - Epoch(train) [35][140/940] lr: 1.0000e-02 eta: 13:20:30 time: 0.8227 data_time: 0.0376 memory: 13619 grad_norm: 4.0541 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.2642 loss: 1.2642 2022/08/01 06:19:50 - mmengine - INFO - Epoch(train) [35][160/940] lr: 1.0000e-02 eta: 13:20:12 time: 0.7232 data_time: 0.0541 memory: 13619 grad_norm: 4.1506 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3265 loss: 1.3265 2022/08/01 06:20:07 - mmengine - INFO - Epoch(train) [35][180/940] lr: 1.0000e-02 eta: 13:20:00 time: 0.8552 data_time: 0.0493 memory: 13619 grad_norm: 4.2289 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1770 loss: 1.1770 2022/08/01 06:20:20 - mmengine - INFO - Epoch(train) [35][200/940] lr: 1.0000e-02 eta: 13:19:41 time: 0.6791 data_time: 0.0334 memory: 13619 grad_norm: 4.0135 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2455 loss: 1.2455 2022/08/01 06:20:38 - mmengine - INFO - Epoch(train) [35][220/940] lr: 1.0000e-02 eta: 13:19:29 time: 0.8833 data_time: 0.0371 memory: 13619 grad_norm: 4.1042 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1479 loss: 1.1479 2022/08/01 06:20:53 - mmengine - INFO - Epoch(train) [35][240/940] lr: 1.0000e-02 eta: 13:19:13 time: 0.7548 data_time: 0.0308 memory: 13619 grad_norm: 4.1867 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2964 loss: 1.2964 2022/08/01 06:21:08 - mmengine - INFO - Epoch(train) [35][260/940] lr: 1.0000e-02 eta: 13:18:57 time: 0.7726 data_time: 0.0514 memory: 13619 grad_norm: 4.2581 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3793 loss: 1.3793 2022/08/01 06:21:23 - mmengine - INFO - Epoch(train) [35][280/940] lr: 1.0000e-02 eta: 13:18:40 time: 0.7234 data_time: 0.0280 memory: 13619 grad_norm: 4.2037 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2978 loss: 1.2978 2022/08/01 06:21:40 - mmengine - INFO - Epoch(train) [35][300/940] lr: 1.0000e-02 eta: 13:18:27 time: 0.8387 data_time: 0.0366 memory: 13619 grad_norm: 4.1935 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2640 loss: 1.2640 2022/08/01 06:21:53 - mmengine - INFO - Epoch(train) [35][320/940] lr: 1.0000e-02 eta: 13:18:08 time: 0.6873 data_time: 0.0355 memory: 13619 grad_norm: 4.1994 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2174 loss: 1.2174 2022/08/01 06:22:10 - mmengine - INFO - Epoch(train) [35][340/940] lr: 1.0000e-02 eta: 13:17:54 time: 0.8160 data_time: 0.0363 memory: 13619 grad_norm: 4.1278 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2418 loss: 1.2418 2022/08/01 06:22:23 - mmengine - INFO - Epoch(train) [35][360/940] lr: 1.0000e-02 eta: 13:17:34 time: 0.6760 data_time: 0.0350 memory: 13619 grad_norm: 4.0935 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3239 loss: 1.3239 2022/08/01 06:22:41 - mmengine - INFO - Epoch(train) [35][380/940] lr: 1.0000e-02 eta: 13:17:22 time: 0.8663 data_time: 0.0423 memory: 13619 grad_norm: 4.1530 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1642 loss: 1.1642 2022/08/01 06:22:55 - mmengine - INFO - Epoch(train) [35][400/940] lr: 1.0000e-02 eta: 13:17:04 time: 0.7120 data_time: 0.0301 memory: 13619 grad_norm: 4.2074 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2606 loss: 1.2606 2022/08/01 06:23:11 - mmengine - INFO - Epoch(train) [35][420/940] lr: 1.0000e-02 eta: 13:16:50 time: 0.8006 data_time: 0.0367 memory: 13619 grad_norm: 4.2577 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3203 loss: 1.3203 2022/08/01 06:23:25 - mmengine - INFO - Epoch(train) [35][440/940] lr: 1.0000e-02 eta: 13:16:31 time: 0.6978 data_time: 0.0306 memory: 13619 grad_norm: 4.1568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3753 loss: 1.3753 2022/08/01 06:23:41 - mmengine - INFO - Epoch(train) [35][460/940] lr: 1.0000e-02 eta: 13:16:17 time: 0.8094 data_time: 0.0394 memory: 13619 grad_norm: 4.2204 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2787 loss: 1.2787 2022/08/01 06:23:55 - mmengine - INFO - Epoch(train) [35][480/940] lr: 1.0000e-02 eta: 13:15:58 time: 0.6912 data_time: 0.0369 memory: 13619 grad_norm: 4.1316 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2780 loss: 1.2780 2022/08/01 06:24:11 - mmengine - INFO - Epoch(train) [35][500/940] lr: 1.0000e-02 eta: 13:15:44 time: 0.7957 data_time: 0.0394 memory: 13619 grad_norm: 4.2045 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2390 loss: 1.2390 2022/08/01 06:24:25 - mmengine - INFO - Epoch(train) [35][520/940] lr: 1.0000e-02 eta: 13:15:26 time: 0.7360 data_time: 0.0310 memory: 13619 grad_norm: 4.2323 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3577 loss: 1.3577 2022/08/01 06:24:42 - mmengine - INFO - Epoch(train) [35][540/940] lr: 1.0000e-02 eta: 13:15:12 time: 0.8041 data_time: 0.0643 memory: 13619 grad_norm: 4.2427 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2419 loss: 1.2419 2022/08/01 06:24:55 - mmengine - INFO - Epoch(train) [35][560/940] lr: 1.0000e-02 eta: 13:14:52 time: 0.6514 data_time: 0.0298 memory: 13619 grad_norm: 4.2086 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2739 loss: 1.2739 2022/08/01 06:25:12 - mmengine - INFO - Epoch(train) [35][580/940] lr: 1.0000e-02 eta: 13:14:40 time: 0.8699 data_time: 0.0421 memory: 13619 grad_norm: 4.1623 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2232 loss: 1.2232 2022/08/01 06:25:26 - mmengine - INFO - Epoch(train) [35][600/940] lr: 1.0000e-02 eta: 13:14:21 time: 0.6814 data_time: 0.0313 memory: 13619 grad_norm: 4.1374 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.3069 loss: 1.3069 2022/08/01 06:25:42 - mmengine - INFO - Epoch(train) [35][620/940] lr: 1.0000e-02 eta: 13:14:07 time: 0.8130 data_time: 0.0410 memory: 13619 grad_norm: 4.1101 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3372 loss: 1.3372 2022/08/01 06:25:55 - mmengine - INFO - Epoch(train) [35][640/940] lr: 1.0000e-02 eta: 13:13:47 time: 0.6528 data_time: 0.0346 memory: 13619 grad_norm: 4.1606 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3898 loss: 1.3898 2022/08/01 06:26:13 - mmengine - INFO - Epoch(train) [35][660/940] lr: 1.0000e-02 eta: 13:13:35 time: 0.8764 data_time: 0.0448 memory: 13619 grad_norm: 4.1630 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2211 loss: 1.2211 2022/08/01 06:26:27 - mmengine - INFO - Epoch(train) [35][680/940] lr: 1.0000e-02 eta: 13:13:16 time: 0.7009 data_time: 0.0329 memory: 13619 grad_norm: 4.1617 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3131 loss: 1.3131 2022/08/01 06:26:44 - mmengine - INFO - Epoch(train) [35][700/940] lr: 1.0000e-02 eta: 13:13:04 time: 0.8629 data_time: 0.0415 memory: 13619 grad_norm: 4.2855 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3415 loss: 1.3415 2022/08/01 06:26:57 - mmengine - INFO - Epoch(train) [35][720/940] lr: 1.0000e-02 eta: 13:12:45 time: 0.6826 data_time: 0.0772 memory: 13619 grad_norm: 4.2381 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2839 loss: 1.2839 2022/08/01 06:27:14 - mmengine - INFO - Epoch(train) [35][740/940] lr: 1.0000e-02 eta: 13:12:32 time: 0.8403 data_time: 0.0632 memory: 13619 grad_norm: 4.1372 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3362 loss: 1.3362 2022/08/01 06:27:28 - mmengine - INFO - Epoch(train) [35][760/940] lr: 1.0000e-02 eta: 13:12:14 time: 0.7055 data_time: 0.0306 memory: 13619 grad_norm: 4.2341 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3265 loss: 1.3265 2022/08/01 06:27:45 - mmengine - INFO - Epoch(train) [35][780/940] lr: 1.0000e-02 eta: 13:12:01 time: 0.8359 data_time: 0.0382 memory: 13619 grad_norm: 4.2969 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3947 loss: 1.3947 2022/08/01 06:27:59 - mmengine - INFO - Epoch(train) [35][800/940] lr: 1.0000e-02 eta: 13:11:42 time: 0.6853 data_time: 0.0350 memory: 13619 grad_norm: 4.3279 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3779 loss: 1.3779 2022/08/01 06:28:16 - mmengine - INFO - Epoch(train) [35][820/940] lr: 1.0000e-02 eta: 13:11:30 time: 0.8773 data_time: 0.0604 memory: 13619 grad_norm: 4.2471 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2686 loss: 1.2686 2022/08/01 06:28:30 - mmengine - INFO - Epoch(train) [35][840/940] lr: 1.0000e-02 eta: 13:11:11 time: 0.6806 data_time: 0.0494 memory: 13619 grad_norm: 4.1691 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.2552 loss: 1.2552 2022/08/01 06:28:47 - mmengine - INFO - Epoch(train) [35][860/940] lr: 1.0000e-02 eta: 13:10:58 time: 0.8540 data_time: 0.0416 memory: 13619 grad_norm: 4.2154 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2864 loss: 1.2864 2022/08/01 06:29:01 - mmengine - INFO - Epoch(train) [35][880/940] lr: 1.0000e-02 eta: 13:10:40 time: 0.7104 data_time: 0.0345 memory: 13619 grad_norm: 4.3164 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2714 loss: 1.2714 2022/08/01 06:29:18 - mmengine - INFO - Epoch(train) [35][900/940] lr: 1.0000e-02 eta: 13:10:27 time: 0.8393 data_time: 0.0412 memory: 13619 grad_norm: 4.1876 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3742 loss: 1.3742 2022/08/01 06:29:32 - mmengine - INFO - Epoch(train) [35][920/940] lr: 1.0000e-02 eta: 13:10:09 time: 0.6869 data_time: 0.0372 memory: 13619 grad_norm: 4.2619 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3360 loss: 1.3360 2022/08/01 06:29:47 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:29:47 - mmengine - INFO - Epoch(train) [35][940/940] lr: 1.0000e-02 eta: 13:09:53 time: 0.7731 data_time: 0.0292 memory: 13619 grad_norm: 4.4829 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.3834 loss: 1.3834 2022/08/01 06:30:04 - mmengine - INFO - Epoch(val) [35][20/78] eta: 0:00:49 time: 0.8557 data_time: 0.7571 memory: 2186 2022/08/01 06:30:17 - mmengine - INFO - Epoch(val) [35][40/78] eta: 0:00:22 time: 0.6031 data_time: 0.5088 memory: 2186 2022/08/01 06:30:33 - mmengine - INFO - Epoch(val) [35][60/78] eta: 0:00:14 time: 0.8088 data_time: 0.7141 memory: 2186 2022/08/01 06:30:46 - mmengine - INFO - Epoch(val) [35][78/78] acc/top1: 0.6654 acc/top5: 0.8664 acc/mean1: 0.6652 2022/08/01 06:31:07 - mmengine - INFO - Epoch(train) [36][20/940] lr: 1.0000e-02 eta: 13:09:46 time: 1.0048 data_time: 0.6180 memory: 13619 grad_norm: 4.0577 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2372 loss: 1.2372 2022/08/01 06:31:21 - mmengine - INFO - Epoch(train) [36][40/940] lr: 1.0000e-02 eta: 13:09:29 time: 0.7390 data_time: 0.2053 memory: 13619 grad_norm: 4.1321 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2574 loss: 1.2574 2022/08/01 06:31:39 - mmengine - INFO - Epoch(train) [36][60/940] lr: 1.0000e-02 eta: 13:09:18 time: 0.8970 data_time: 0.1936 memory: 13619 grad_norm: 4.1379 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2829 loss: 1.2829 2022/08/01 06:31:51 - mmengine - INFO - Epoch(train) [36][80/940] lr: 1.0000e-02 eta: 13:08:56 time: 0.6063 data_time: 0.0367 memory: 13619 grad_norm: 4.0335 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2979 loss: 1.2979 2022/08/01 06:32:08 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:32:08 - mmengine - INFO - Epoch(train) [36][100/940] lr: 1.0000e-02 eta: 13:08:43 time: 0.8486 data_time: 0.0365 memory: 13619 grad_norm: 4.1438 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3690 loss: 1.3690 2022/08/01 06:32:22 - mmengine - INFO - Epoch(train) [36][120/940] lr: 1.0000e-02 eta: 13:08:25 time: 0.6860 data_time: 0.0362 memory: 13619 grad_norm: 4.2012 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1478 loss: 1.1478 2022/08/01 06:32:40 - mmengine - INFO - Epoch(train) [36][140/940] lr: 1.0000e-02 eta: 13:08:13 time: 0.8896 data_time: 0.0521 memory: 13619 grad_norm: 4.2883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4438 loss: 1.4438 2022/08/01 06:32:54 - mmengine - INFO - Epoch(train) [36][160/940] lr: 1.0000e-02 eta: 13:07:54 time: 0.6840 data_time: 0.0410 memory: 13619 grad_norm: 4.1461 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2852 loss: 1.2852 2022/08/01 06:33:11 - mmengine - INFO - Epoch(train) [36][180/940] lr: 1.0000e-02 eta: 13:07:43 time: 0.8819 data_time: 0.0491 memory: 13619 grad_norm: 4.1405 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4651 loss: 1.4651 2022/08/01 06:33:25 - mmengine - INFO - Epoch(train) [36][200/940] lr: 1.0000e-02 eta: 13:07:24 time: 0.6829 data_time: 0.0416 memory: 13619 grad_norm: 4.1284 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3429 loss: 1.3429 2022/08/01 06:33:41 - mmengine - INFO - Epoch(train) [36][220/940] lr: 1.0000e-02 eta: 13:07:09 time: 0.8026 data_time: 0.0409 memory: 13619 grad_norm: 4.1457 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4133 loss: 1.4133 2022/08/01 06:33:54 - mmengine - INFO - Epoch(train) [36][240/940] lr: 1.0000e-02 eta: 13:06:50 time: 0.6628 data_time: 0.0384 memory: 13619 grad_norm: 4.2325 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4062 loss: 1.4062 2022/08/01 06:34:12 - mmengine - INFO - Epoch(train) [36][260/940] lr: 1.0000e-02 eta: 13:06:38 time: 0.8878 data_time: 0.0401 memory: 13619 grad_norm: 4.2782 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4011 loss: 1.4011 2022/08/01 06:34:26 - mmengine - INFO - Epoch(train) [36][280/940] lr: 1.0000e-02 eta: 13:06:20 time: 0.6965 data_time: 0.0334 memory: 13619 grad_norm: 4.2652 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3385 loss: 1.3385 2022/08/01 06:34:41 - mmengine - INFO - Epoch(train) [36][300/940] lr: 1.0000e-02 eta: 13:06:04 time: 0.7693 data_time: 0.0496 memory: 13619 grad_norm: 4.1607 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2858 loss: 1.2858 2022/08/01 06:34:56 - mmengine - INFO - Epoch(train) [36][320/940] lr: 1.0000e-02 eta: 13:05:47 time: 0.7336 data_time: 0.0345 memory: 13619 grad_norm: 4.2166 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4318 loss: 1.4318 2022/08/01 06:35:12 - mmengine - INFO - Epoch(train) [36][340/940] lr: 1.0000e-02 eta: 13:05:32 time: 0.7887 data_time: 0.0381 memory: 13619 grad_norm: 4.1833 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2619 loss: 1.2619 2022/08/01 06:35:25 - mmengine - INFO - Epoch(train) [36][360/940] lr: 1.0000e-02 eta: 13:05:12 time: 0.6617 data_time: 0.0372 memory: 13619 grad_norm: 4.2249 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2856 loss: 1.2856 2022/08/01 06:35:42 - mmengine - INFO - Epoch(train) [36][380/940] lr: 1.0000e-02 eta: 13:04:59 time: 0.8250 data_time: 0.0437 memory: 13619 grad_norm: 4.2918 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2327 loss: 1.2327 2022/08/01 06:35:57 - mmengine - INFO - Epoch(train) [36][400/940] lr: 1.0000e-02 eta: 13:04:44 time: 0.7920 data_time: 0.0856 memory: 13619 grad_norm: 4.2368 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3562 loss: 1.3562 2022/08/01 06:36:12 - mmengine - INFO - Epoch(train) [36][420/940] lr: 1.0000e-02 eta: 13:04:27 time: 0.7372 data_time: 0.0711 memory: 13619 grad_norm: 4.2228 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1404 loss: 1.1404 2022/08/01 06:36:28 - mmengine - INFO - Epoch(train) [36][440/940] lr: 1.0000e-02 eta: 13:04:12 time: 0.8003 data_time: 0.1247 memory: 13619 grad_norm: 4.1703 top1_acc: 0.5000 top5_acc: 0.9062 loss_cls: 1.2982 loss: 1.2982 2022/08/01 06:36:43 - mmengine - INFO - Epoch(train) [36][460/940] lr: 1.0000e-02 eta: 13:03:55 time: 0.7341 data_time: 0.0896 memory: 13619 grad_norm: 4.1862 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3111 loss: 1.3111 2022/08/01 06:36:59 - mmengine - INFO - Epoch(train) [36][480/940] lr: 1.0000e-02 eta: 13:03:42 time: 0.8334 data_time: 0.0322 memory: 13619 grad_norm: 4.1991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2952 loss: 1.2952 2022/08/01 06:37:14 - mmengine - INFO - Epoch(train) [36][500/940] lr: 1.0000e-02 eta: 13:03:25 time: 0.7406 data_time: 0.0352 memory: 13619 grad_norm: 4.1585 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2149 loss: 1.2149 2022/08/01 06:37:31 - mmengine - INFO - Epoch(train) [36][520/940] lr: 1.0000e-02 eta: 13:03:12 time: 0.8539 data_time: 0.0406 memory: 13619 grad_norm: 4.3116 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2874 loss: 1.2874 2022/08/01 06:37:45 - mmengine - INFO - Epoch(train) [36][540/940] lr: 1.0000e-02 eta: 13:02:53 time: 0.6682 data_time: 0.0373 memory: 13619 grad_norm: 4.2219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2819 loss: 1.2819 2022/08/01 06:38:01 - mmengine - INFO - Epoch(train) [36][560/940] lr: 1.0000e-02 eta: 13:02:39 time: 0.8311 data_time: 0.0347 memory: 13619 grad_norm: 4.2378 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3940 loss: 1.3940 2022/08/01 06:38:15 - mmengine - INFO - Epoch(train) [36][580/940] lr: 1.0000e-02 eta: 13:02:21 time: 0.7006 data_time: 0.0397 memory: 13619 grad_norm: 4.2063 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3038 loss: 1.3038 2022/08/01 06:38:32 - mmengine - INFO - Epoch(train) [36][600/940] lr: 1.0000e-02 eta: 13:02:08 time: 0.8533 data_time: 0.0363 memory: 13619 grad_norm: 4.2507 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3901 loss: 1.3901 2022/08/01 06:38:46 - mmengine - INFO - Epoch(train) [36][620/940] lr: 1.0000e-02 eta: 13:01:49 time: 0.6673 data_time: 0.0406 memory: 13619 grad_norm: 4.2739 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3910 loss: 1.3910 2022/08/01 06:39:03 - mmengine - INFO - Epoch(train) [36][640/940] lr: 1.0000e-02 eta: 13:01:36 time: 0.8456 data_time: 0.0361 memory: 13619 grad_norm: 4.1488 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2760 loss: 1.2760 2022/08/01 06:39:17 - mmengine - INFO - Epoch(train) [36][660/940] lr: 1.0000e-02 eta: 13:01:18 time: 0.7025 data_time: 0.0348 memory: 13619 grad_norm: 4.2354 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3783 loss: 1.3783 2022/08/01 06:39:35 - mmengine - INFO - Epoch(train) [36][680/940] lr: 1.0000e-02 eta: 13:01:07 time: 0.9020 data_time: 0.0413 memory: 13619 grad_norm: 4.3243 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1973 loss: 1.1973 2022/08/01 06:39:49 - mmengine - INFO - Epoch(train) [36][700/940] lr: 1.0000e-02 eta: 13:00:50 time: 0.7264 data_time: 0.0336 memory: 13619 grad_norm: 4.1688 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2495 loss: 1.2495 2022/08/01 06:40:06 - mmengine - INFO - Epoch(train) [36][720/940] lr: 1.0000e-02 eta: 13:00:37 time: 0.8451 data_time: 0.0375 memory: 13619 grad_norm: 4.2290 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2882 loss: 1.2882 2022/08/01 06:40:20 - mmengine - INFO - Epoch(train) [36][740/940] lr: 1.0000e-02 eta: 13:00:17 time: 0.6695 data_time: 0.0381 memory: 13619 grad_norm: 4.1844 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2056 loss: 1.2056 2022/08/01 06:40:36 - mmengine - INFO - Epoch(train) [36][760/940] lr: 1.0000e-02 eta: 13:00:03 time: 0.8139 data_time: 0.0562 memory: 13619 grad_norm: 4.4141 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3028 loss: 1.3028 2022/08/01 06:40:50 - mmengine - INFO - Epoch(train) [36][780/940] lr: 1.0000e-02 eta: 12:59:45 time: 0.7131 data_time: 0.0307 memory: 13619 grad_norm: 4.1861 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2852 loss: 1.2852 2022/08/01 06:41:06 - mmengine - INFO - Epoch(train) [36][800/940] lr: 1.0000e-02 eta: 12:59:31 time: 0.7961 data_time: 0.0423 memory: 13619 grad_norm: 4.2525 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2821 loss: 1.2821 2022/08/01 06:41:20 - mmengine - INFO - Epoch(train) [36][820/940] lr: 1.0000e-02 eta: 12:59:13 time: 0.7102 data_time: 0.0341 memory: 13619 grad_norm: 4.1785 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3278 loss: 1.3278 2022/08/01 06:41:37 - mmengine - INFO - Epoch(train) [36][840/940] lr: 1.0000e-02 eta: 12:58:59 time: 0.8229 data_time: 0.0370 memory: 13619 grad_norm: 4.2465 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4215 loss: 1.4215 2022/08/01 06:41:50 - mmengine - INFO - Epoch(train) [36][860/940] lr: 1.0000e-02 eta: 12:58:39 time: 0.6552 data_time: 0.0387 memory: 13619 grad_norm: 4.1738 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2753 loss: 1.2753 2022/08/01 06:42:06 - mmengine - INFO - Epoch(train) [36][880/940] lr: 1.0000e-02 eta: 12:58:24 time: 0.7926 data_time: 0.0763 memory: 13619 grad_norm: 4.2311 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3443 loss: 1.3443 2022/08/01 06:42:20 - mmengine - INFO - Epoch(train) [36][900/940] lr: 1.0000e-02 eta: 12:58:07 time: 0.7319 data_time: 0.1837 memory: 13619 grad_norm: 4.2757 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3623 loss: 1.3623 2022/08/01 06:42:37 - mmengine - INFO - Epoch(train) [36][920/940] lr: 1.0000e-02 eta: 12:57:53 time: 0.8061 data_time: 0.1109 memory: 13619 grad_norm: 4.2568 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2671 loss: 1.2671 2022/08/01 06:42:49 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:42:49 - mmengine - INFO - Epoch(train) [36][940/940] lr: 1.0000e-02 eta: 12:57:32 time: 0.6237 data_time: 0.1367 memory: 13619 grad_norm: 4.3982 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3634 loss: 1.3634 2022/08/01 06:42:49 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/01 06:43:09 - mmengine - INFO - Epoch(val) [36][20/78] eta: 0:00:50 time: 0.8676 data_time: 0.7765 memory: 2186 2022/08/01 06:43:21 - mmengine - INFO - Epoch(val) [36][40/78] eta: 0:00:22 time: 0.5999 data_time: 0.5076 memory: 2186 2022/08/01 06:43:37 - mmengine - INFO - Epoch(val) [36][60/78] eta: 0:00:14 time: 0.8288 data_time: 0.7380 memory: 2186 2022/08/01 06:43:49 - mmengine - INFO - Epoch(val) [36][78/78] acc/top1: 0.6616 acc/top5: 0.8647 acc/mean1: 0.6615 2022/08/01 06:44:09 - mmengine - INFO - Epoch(train) [37][20/940] lr: 1.0000e-02 eta: 12:57:23 time: 0.9592 data_time: 0.6315 memory: 13619 grad_norm: 4.0810 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3003 loss: 1.3003 2022/08/01 06:44:23 - mmengine - INFO - Epoch(train) [37][40/940] lr: 1.0000e-02 eta: 12:57:05 time: 0.7200 data_time: 0.3416 memory: 13619 grad_norm: 4.0692 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3080 loss: 1.3080 2022/08/01 06:44:41 - mmengine - INFO - Epoch(train) [37][60/940] lr: 1.0000e-02 eta: 12:56:53 time: 0.8743 data_time: 0.3393 memory: 13619 grad_norm: 4.2072 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3732 loss: 1.3732 2022/08/01 06:44:54 - mmengine - INFO - Epoch(train) [37][80/940] lr: 1.0000e-02 eta: 12:56:34 time: 0.6636 data_time: 0.2711 memory: 13619 grad_norm: 4.1599 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2262 loss: 1.2262 2022/08/01 06:45:11 - mmengine - INFO - Epoch(train) [37][100/940] lr: 1.0000e-02 eta: 12:56:20 time: 0.8378 data_time: 0.4659 memory: 13619 grad_norm: 4.1087 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3138 loss: 1.3138 2022/08/01 06:45:24 - mmengine - INFO - Epoch(train) [37][120/940] lr: 1.0000e-02 eta: 12:56:01 time: 0.6517 data_time: 0.2871 memory: 13619 grad_norm: 4.1527 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2734 loss: 1.2734 2022/08/01 06:45:41 - mmengine - INFO - Epoch(train) [37][140/940] lr: 1.0000e-02 eta: 12:55:48 time: 0.8541 data_time: 0.4051 memory: 13619 grad_norm: 4.1859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2649 loss: 1.2649 2022/08/01 06:45:54 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:45:54 - mmengine - INFO - Epoch(train) [37][160/940] lr: 1.0000e-02 eta: 12:55:28 time: 0.6579 data_time: 0.2121 memory: 13619 grad_norm: 4.1796 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2207 loss: 1.2207 2022/08/01 06:46:12 - mmengine - INFO - Epoch(train) [37][180/940] lr: 1.0000e-02 eta: 12:55:17 time: 0.8915 data_time: 0.1671 memory: 13619 grad_norm: 4.1458 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3102 loss: 1.3102 2022/08/01 06:46:26 - mmengine - INFO - Epoch(train) [37][200/940] lr: 1.0000e-02 eta: 12:54:58 time: 0.6915 data_time: 0.0497 memory: 13619 grad_norm: 4.1179 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.2949 loss: 1.2949 2022/08/01 06:46:42 - mmengine - INFO - Epoch(train) [37][220/940] lr: 1.0000e-02 eta: 12:54:45 time: 0.8346 data_time: 0.2576 memory: 13619 grad_norm: 4.1295 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2214 loss: 1.2214 2022/08/01 06:46:56 - mmengine - INFO - Epoch(train) [37][240/940] lr: 1.0000e-02 eta: 12:54:27 time: 0.6953 data_time: 0.2843 memory: 13619 grad_norm: 4.1725 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2705 loss: 1.2705 2022/08/01 06:47:13 - mmengine - INFO - Epoch(train) [37][260/940] lr: 1.0000e-02 eta: 12:54:13 time: 0.8361 data_time: 0.3488 memory: 13619 grad_norm: 4.1224 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2911 loss: 1.2911 2022/08/01 06:47:27 - mmengine - INFO - Epoch(train) [37][280/940] lr: 1.0000e-02 eta: 12:53:55 time: 0.6966 data_time: 0.1404 memory: 13619 grad_norm: 4.2522 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4991 loss: 1.4991 2022/08/01 06:47:45 - mmengine - INFO - Epoch(train) [37][300/940] lr: 1.0000e-02 eta: 12:53:45 time: 0.9259 data_time: 0.1643 memory: 13619 grad_norm: 4.2177 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3046 loss: 1.3046 2022/08/01 06:47:58 - mmengine - INFO - Epoch(train) [37][320/940] lr: 1.0000e-02 eta: 12:53:24 time: 0.6282 data_time: 0.0386 memory: 13619 grad_norm: 4.2536 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3417 loss: 1.3417 2022/08/01 06:48:16 - mmengine - INFO - Epoch(train) [37][340/940] lr: 1.0000e-02 eta: 12:53:12 time: 0.8901 data_time: 0.1098 memory: 13619 grad_norm: 4.1901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2271 loss: 1.2271 2022/08/01 06:48:29 - mmengine - INFO - Epoch(train) [37][360/940] lr: 1.0000e-02 eta: 12:52:53 time: 0.6758 data_time: 0.0635 memory: 13619 grad_norm: 4.1619 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1172 loss: 1.1172 2022/08/01 06:48:47 - mmengine - INFO - Epoch(train) [37][380/940] lr: 1.0000e-02 eta: 12:52:41 time: 0.8765 data_time: 0.0356 memory: 13619 grad_norm: 4.2541 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2663 loss: 1.2663 2022/08/01 06:49:00 - mmengine - INFO - Epoch(train) [37][400/940] lr: 1.0000e-02 eta: 12:52:22 time: 0.6685 data_time: 0.0420 memory: 13619 grad_norm: 4.1905 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4018 loss: 1.4018 2022/08/01 06:49:17 - mmengine - INFO - Epoch(train) [37][420/940] lr: 1.0000e-02 eta: 12:52:09 time: 0.8446 data_time: 0.0384 memory: 13619 grad_norm: 4.2868 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4142 loss: 1.4142 2022/08/01 06:49:31 - mmengine - INFO - Epoch(train) [37][440/940] lr: 1.0000e-02 eta: 12:51:51 time: 0.6964 data_time: 0.0387 memory: 13619 grad_norm: 4.2483 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2812 loss: 1.2812 2022/08/01 06:49:48 - mmengine - INFO - Epoch(train) [37][460/940] lr: 1.0000e-02 eta: 12:51:37 time: 0.8366 data_time: 0.0392 memory: 13619 grad_norm: 4.1669 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3210 loss: 1.3210 2022/08/01 06:50:01 - mmengine - INFO - Epoch(train) [37][480/940] lr: 1.0000e-02 eta: 12:51:19 time: 0.6779 data_time: 0.0347 memory: 13619 grad_norm: 4.1873 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3985 loss: 1.3985 2022/08/01 06:50:18 - mmengine - INFO - Epoch(train) [37][500/940] lr: 1.0000e-02 eta: 12:51:06 time: 0.8480 data_time: 0.0405 memory: 13619 grad_norm: 4.2272 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3108 loss: 1.3108 2022/08/01 06:50:31 - mmengine - INFO - Epoch(train) [37][520/940] lr: 1.0000e-02 eta: 12:50:46 time: 0.6614 data_time: 0.0469 memory: 13619 grad_norm: 4.2093 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3295 loss: 1.3295 2022/08/01 06:50:49 - mmengine - INFO - Epoch(train) [37][540/940] lr: 1.0000e-02 eta: 12:50:34 time: 0.8756 data_time: 0.0500 memory: 13619 grad_norm: 4.1520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1871 loss: 1.1871 2022/08/01 06:51:04 - mmengine - INFO - Epoch(train) [37][560/940] lr: 1.0000e-02 eta: 12:50:18 time: 0.7483 data_time: 0.0414 memory: 13619 grad_norm: 4.1029 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2252 loss: 1.2252 2022/08/01 06:51:21 - mmengine - INFO - Epoch(train) [37][580/940] lr: 1.0000e-02 eta: 12:50:05 time: 0.8676 data_time: 0.0389 memory: 13619 grad_norm: 4.1667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1771 loss: 1.1771 2022/08/01 06:51:35 - mmengine - INFO - Epoch(train) [37][600/940] lr: 1.0000e-02 eta: 12:49:47 time: 0.6937 data_time: 0.0449 memory: 13619 grad_norm: 4.2752 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3384 loss: 1.3384 2022/08/01 06:51:51 - mmengine - INFO - Epoch(train) [37][620/940] lr: 1.0000e-02 eta: 12:49:32 time: 0.7951 data_time: 0.0399 memory: 13619 grad_norm: 4.3388 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3463 loss: 1.3463 2022/08/01 06:52:04 - mmengine - INFO - Epoch(train) [37][640/940] lr: 1.0000e-02 eta: 12:49:13 time: 0.6587 data_time: 0.0328 memory: 13619 grad_norm: 4.3314 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2571 loss: 1.2571 2022/08/01 06:52:21 - mmengine - INFO - Epoch(train) [37][660/940] lr: 1.0000e-02 eta: 12:48:59 time: 0.8234 data_time: 0.0369 memory: 13619 grad_norm: 4.2669 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3082 loss: 1.3082 2022/08/01 06:52:35 - mmengine - INFO - Epoch(train) [37][680/940] lr: 1.0000e-02 eta: 12:48:42 time: 0.7309 data_time: 0.0360 memory: 13619 grad_norm: 4.3185 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4119 loss: 1.4119 2022/08/01 06:52:54 - mmengine - INFO - Epoch(train) [37][700/940] lr: 1.0000e-02 eta: 12:48:31 time: 0.9134 data_time: 0.0379 memory: 13619 grad_norm: 4.3162 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2951 loss: 1.2951 2022/08/01 06:53:08 - mmengine - INFO - Epoch(train) [37][720/940] lr: 1.0000e-02 eta: 12:48:13 time: 0.7006 data_time: 0.0349 memory: 13619 grad_norm: 4.2605 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3234 loss: 1.3234 2022/08/01 06:53:24 - mmengine - INFO - Epoch(train) [37][740/940] lr: 1.0000e-02 eta: 12:47:58 time: 0.8027 data_time: 0.0336 memory: 13619 grad_norm: 4.3220 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.2214 loss: 1.2214 2022/08/01 06:53:36 - mmengine - INFO - Epoch(train) [37][760/940] lr: 1.0000e-02 eta: 12:47:38 time: 0.6364 data_time: 0.0387 memory: 13619 grad_norm: 4.1911 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3324 loss: 1.3324 2022/08/01 06:53:53 - mmengine - INFO - Epoch(train) [37][780/940] lr: 1.0000e-02 eta: 12:47:25 time: 0.8450 data_time: 0.0371 memory: 13619 grad_norm: 4.2166 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2983 loss: 1.2983 2022/08/01 06:54:07 - mmengine - INFO - Epoch(train) [37][800/940] lr: 1.0000e-02 eta: 12:47:06 time: 0.6829 data_time: 0.0383 memory: 13619 grad_norm: 4.2716 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2079 loss: 1.2079 2022/08/01 06:54:24 - mmengine - INFO - Epoch(train) [37][820/940] lr: 1.0000e-02 eta: 12:46:53 time: 0.8543 data_time: 0.0386 memory: 13619 grad_norm: 4.2739 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3663 loss: 1.3663 2022/08/01 06:54:37 - mmengine - INFO - Epoch(train) [37][840/940] lr: 1.0000e-02 eta: 12:46:34 time: 0.6498 data_time: 0.0341 memory: 13619 grad_norm: 4.2126 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3507 loss: 1.3507 2022/08/01 06:54:54 - mmengine - INFO - Epoch(train) [37][860/940] lr: 1.0000e-02 eta: 12:46:20 time: 0.8353 data_time: 0.0385 memory: 13619 grad_norm: 4.2290 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.2243 loss: 1.2243 2022/08/01 06:55:09 - mmengine - INFO - Epoch(train) [37][880/940] lr: 1.0000e-02 eta: 12:46:04 time: 0.7429 data_time: 0.0355 memory: 13619 grad_norm: 4.3204 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2972 loss: 1.2972 2022/08/01 06:55:24 - mmengine - INFO - Epoch(train) [37][900/940] lr: 1.0000e-02 eta: 12:45:48 time: 0.7643 data_time: 0.0644 memory: 13619 grad_norm: 4.1666 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2539 loss: 1.2539 2022/08/01 06:55:39 - mmengine - INFO - Epoch(train) [37][920/940] lr: 1.0000e-02 eta: 12:45:32 time: 0.7678 data_time: 0.0373 memory: 13619 grad_norm: 4.2770 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3907 loss: 1.3907 2022/08/01 06:55:52 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:55:52 - mmengine - INFO - Epoch(train) [37][940/940] lr: 1.0000e-02 eta: 12:45:12 time: 0.6559 data_time: 0.0275 memory: 13619 grad_norm: 4.5526 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3649 loss: 1.3649 2022/08/01 06:56:10 - mmengine - INFO - Epoch(val) [37][20/78] eta: 0:00:50 time: 0.8649 data_time: 0.7717 memory: 2186 2022/08/01 06:56:22 - mmengine - INFO - Epoch(val) [37][40/78] eta: 0:00:22 time: 0.5910 data_time: 0.4941 memory: 2186 2022/08/01 06:56:38 - mmengine - INFO - Epoch(val) [37][60/78] eta: 0:00:14 time: 0.8332 data_time: 0.7241 memory: 2186 2022/08/01 06:56:52 - mmengine - INFO - Epoch(val) [37][78/78] acc/top1: 0.6707 acc/top5: 0.8753 acc/mean1: 0.6706 2022/08/01 06:56:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_28.pth is removed 2022/08/01 06:56:53 - mmengine - INFO - The best checkpoint with 0.6707 acc/top1 at 38 epoch is saved to best_acc/top1_epoch_38.pth. 2022/08/01 06:57:12 - mmengine - INFO - Epoch(train) [38][20/940] lr: 1.0000e-02 eta: 12:45:02 time: 0.9429 data_time: 0.6539 memory: 13619 grad_norm: 4.1340 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1532 loss: 1.1532 2022/08/01 06:57:25 - mmengine - INFO - Epoch(train) [38][40/940] lr: 1.0000e-02 eta: 12:44:43 time: 0.6555 data_time: 0.3483 memory: 13619 grad_norm: 4.2703 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1093 loss: 1.1093 2022/08/01 06:57:42 - mmengine - INFO - Epoch(train) [38][60/940] lr: 1.0000e-02 eta: 12:44:30 time: 0.8395 data_time: 0.5455 memory: 13619 grad_norm: 4.1245 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2332 loss: 1.2332 2022/08/01 06:57:55 - mmengine - INFO - Epoch(train) [38][80/940] lr: 1.0000e-02 eta: 12:44:11 time: 0.6730 data_time: 0.3959 memory: 13619 grad_norm: 4.1750 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2301 loss: 1.2301 2022/08/01 06:58:13 - mmengine - INFO - Epoch(train) [38][100/940] lr: 1.0000e-02 eta: 12:43:59 time: 0.8904 data_time: 0.5394 memory: 13619 grad_norm: 4.1567 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2014 loss: 1.2014 2022/08/01 06:58:26 - mmengine - INFO - Epoch(train) [38][120/940] lr: 1.0000e-02 eta: 12:43:39 time: 0.6359 data_time: 0.3553 memory: 13619 grad_norm: 4.1622 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3244 loss: 1.3244 2022/08/01 06:58:43 - mmengine - INFO - Epoch(train) [38][140/940] lr: 1.0000e-02 eta: 12:43:27 time: 0.8845 data_time: 0.6008 memory: 13619 grad_norm: 4.2190 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3246 loss: 1.3246 2022/08/01 06:58:57 - mmengine - INFO - Epoch(train) [38][160/940] lr: 1.0000e-02 eta: 12:43:08 time: 0.6798 data_time: 0.3970 memory: 13619 grad_norm: 4.2454 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4629 loss: 1.4629 2022/08/01 06:59:14 - mmengine - INFO - Epoch(train) [38][180/940] lr: 1.0000e-02 eta: 12:42:56 time: 0.8739 data_time: 0.3077 memory: 13619 grad_norm: 4.2160 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3021 loss: 1.3021 2022/08/01 06:59:28 - mmengine - INFO - Epoch(train) [38][200/940] lr: 1.0000e-02 eta: 12:42:37 time: 0.6644 data_time: 0.2858 memory: 13619 grad_norm: 4.2234 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2951 loss: 1.2951 2022/08/01 06:59:45 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 06:59:45 - mmengine - INFO - Epoch(train) [38][220/940] lr: 1.0000e-02 eta: 12:42:24 time: 0.8608 data_time: 0.4216 memory: 13619 grad_norm: 4.2264 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2456 loss: 1.2456 2022/08/01 06:59:58 - mmengine - INFO - Epoch(train) [38][240/940] lr: 1.0000e-02 eta: 12:42:05 time: 0.6725 data_time: 0.1958 memory: 13619 grad_norm: 4.2155 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2224 loss: 1.2224 2022/08/01 07:00:15 - mmengine - INFO - Epoch(train) [38][260/940] lr: 1.0000e-02 eta: 12:41:52 time: 0.8480 data_time: 0.3780 memory: 13619 grad_norm: 4.2201 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3830 loss: 1.3830 2022/08/01 07:00:31 - mmengine - INFO - Epoch(train) [38][280/940] lr: 1.0000e-02 eta: 12:41:37 time: 0.7872 data_time: 0.4197 memory: 13619 grad_norm: 4.2323 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3072 loss: 1.3072 2022/08/01 07:00:46 - mmengine - INFO - Epoch(train) [38][300/940] lr: 1.0000e-02 eta: 12:41:20 time: 0.7441 data_time: 0.2575 memory: 13619 grad_norm: 4.3425 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2725 loss: 1.2725 2022/08/01 07:01:02 - mmengine - INFO - Epoch(train) [38][320/940] lr: 1.0000e-02 eta: 12:41:07 time: 0.8221 data_time: 0.3895 memory: 13619 grad_norm: 4.2319 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/08/01 07:01:17 - mmengine - INFO - Epoch(train) [38][340/940] lr: 1.0000e-02 eta: 12:40:49 time: 0.7162 data_time: 0.3423 memory: 13619 grad_norm: 4.1709 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3132 loss: 1.3132 2022/08/01 07:01:33 - mmengine - INFO - Epoch(train) [38][360/940] lr: 1.0000e-02 eta: 12:40:36 time: 0.8345 data_time: 0.5247 memory: 13619 grad_norm: 4.2390 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1996 loss: 1.1996 2022/08/01 07:01:48 - mmengine - INFO - Epoch(train) [38][380/940] lr: 1.0000e-02 eta: 12:40:18 time: 0.7261 data_time: 0.3716 memory: 13619 grad_norm: 4.2250 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2415 loss: 1.2415 2022/08/01 07:02:05 - mmengine - INFO - Epoch(train) [38][400/940] lr: 1.0000e-02 eta: 12:40:05 time: 0.8521 data_time: 0.5253 memory: 13619 grad_norm: 4.3212 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2352 loss: 1.2352 2022/08/01 07:02:19 - mmengine - INFO - Epoch(train) [38][420/940] lr: 1.0000e-02 eta: 12:39:48 time: 0.7169 data_time: 0.3790 memory: 13619 grad_norm: 4.1682 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3306 loss: 1.3306 2022/08/01 07:02:35 - mmengine - INFO - Epoch(train) [38][440/940] lr: 1.0000e-02 eta: 12:39:33 time: 0.8043 data_time: 0.4982 memory: 13619 grad_norm: 4.2848 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.2820 loss: 1.2820 2022/08/01 07:02:48 - mmengine - INFO - Epoch(train) [38][460/940] lr: 1.0000e-02 eta: 12:39:13 time: 0.6394 data_time: 0.3311 memory: 13619 grad_norm: 4.2179 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2035 loss: 1.2035 2022/08/01 07:03:05 - mmengine - INFO - Epoch(train) [38][480/940] lr: 1.0000e-02 eta: 12:39:00 time: 0.8349 data_time: 0.4819 memory: 13619 grad_norm: 4.1775 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1685 loss: 1.1685 2022/08/01 07:03:19 - mmengine - INFO - Epoch(train) [38][500/940] lr: 1.0000e-02 eta: 12:38:42 time: 0.7004 data_time: 0.3153 memory: 13619 grad_norm: 4.3755 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2229 loss: 1.2229 2022/08/01 07:03:35 - mmengine - INFO - Epoch(train) [38][520/940] lr: 1.0000e-02 eta: 12:38:27 time: 0.7947 data_time: 0.2687 memory: 13619 grad_norm: 4.3142 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2222 loss: 1.2222 2022/08/01 07:03:50 - mmengine - INFO - Epoch(train) [38][540/940] lr: 1.0000e-02 eta: 12:38:11 time: 0.7535 data_time: 0.2055 memory: 13619 grad_norm: 4.2151 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.2919 loss: 1.2919 2022/08/01 07:04:06 - mmengine - INFO - Epoch(train) [38][560/940] lr: 1.0000e-02 eta: 12:37:57 time: 0.8239 data_time: 0.4835 memory: 13619 grad_norm: 4.1689 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2479 loss: 1.2479 2022/08/01 07:04:20 - mmengine - INFO - Epoch(train) [38][580/940] lr: 1.0000e-02 eta: 12:37:38 time: 0.6754 data_time: 0.3012 memory: 13619 grad_norm: 4.2545 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1925 loss: 1.1925 2022/08/01 07:04:37 - mmengine - INFO - Epoch(train) [38][600/940] lr: 1.0000e-02 eta: 12:37:26 time: 0.8644 data_time: 0.4593 memory: 13619 grad_norm: 4.3004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3559 loss: 1.3559 2022/08/01 07:04:52 - mmengine - INFO - Epoch(train) [38][620/940] lr: 1.0000e-02 eta: 12:37:08 time: 0.7173 data_time: 0.2424 memory: 13619 grad_norm: 4.1658 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3570 loss: 1.3570 2022/08/01 07:05:10 - mmengine - INFO - Epoch(train) [38][640/940] lr: 1.0000e-02 eta: 12:36:57 time: 0.9030 data_time: 0.1078 memory: 13619 grad_norm: 4.2420 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4557 loss: 1.4557 2022/08/01 07:05:23 - mmengine - INFO - Epoch(train) [38][660/940] lr: 1.0000e-02 eta: 12:36:38 time: 0.6653 data_time: 0.0425 memory: 13619 grad_norm: 4.2403 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1912 loss: 1.1912 2022/08/01 07:05:40 - mmengine - INFO - Epoch(train) [38][680/940] lr: 1.0000e-02 eta: 12:36:25 time: 0.8628 data_time: 0.2211 memory: 13619 grad_norm: 4.2440 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2894 loss: 1.2894 2022/08/01 07:05:53 - mmengine - INFO - Epoch(train) [38][700/940] lr: 1.0000e-02 eta: 12:36:05 time: 0.6443 data_time: 0.1633 memory: 13619 grad_norm: 4.2494 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3116 loss: 1.3116 2022/08/01 07:06:10 - mmengine - INFO - Epoch(train) [38][720/940] lr: 1.0000e-02 eta: 12:35:51 time: 0.8208 data_time: 0.4145 memory: 13619 grad_norm: 4.1860 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2768 loss: 1.2768 2022/08/01 07:06:24 - mmengine - INFO - Epoch(train) [38][740/940] lr: 1.0000e-02 eta: 12:35:34 time: 0.7107 data_time: 0.3997 memory: 13619 grad_norm: 4.2360 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3011 loss: 1.3011 2022/08/01 07:06:40 - mmengine - INFO - Epoch(train) [38][760/940] lr: 1.0000e-02 eta: 12:35:20 time: 0.8234 data_time: 0.4939 memory: 13619 grad_norm: 4.2649 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2330 loss: 1.2330 2022/08/01 07:06:53 - mmengine - INFO - Epoch(train) [38][780/940] lr: 1.0000e-02 eta: 12:35:00 time: 0.6539 data_time: 0.3193 memory: 13619 grad_norm: 4.3082 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2795 loss: 1.2795 2022/08/01 07:07:10 - mmengine - INFO - Epoch(train) [38][800/940] lr: 1.0000e-02 eta: 12:34:47 time: 0.8399 data_time: 0.5209 memory: 13619 grad_norm: 4.2783 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1754 loss: 1.1754 2022/08/01 07:07:24 - mmengine - INFO - Epoch(train) [38][820/940] lr: 1.0000e-02 eta: 12:34:28 time: 0.6752 data_time: 0.2876 memory: 13619 grad_norm: 4.2964 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.2634 loss: 1.2634 2022/08/01 07:07:42 - mmengine - INFO - Epoch(train) [38][840/940] lr: 1.0000e-02 eta: 12:34:17 time: 0.9195 data_time: 0.3809 memory: 13619 grad_norm: 4.2163 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3684 loss: 1.3684 2022/08/01 07:07:55 - mmengine - INFO - Epoch(train) [38][860/940] lr: 1.0000e-02 eta: 12:33:58 time: 0.6705 data_time: 0.1496 memory: 13619 grad_norm: 4.3026 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.3400 loss: 1.3400 2022/08/01 07:08:13 - mmengine - INFO - Epoch(train) [38][880/940] lr: 1.0000e-02 eta: 12:33:46 time: 0.8606 data_time: 0.1888 memory: 13619 grad_norm: 4.2989 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3397 loss: 1.3397 2022/08/01 07:08:27 - mmengine - INFO - Epoch(train) [38][900/940] lr: 1.0000e-02 eta: 12:33:27 time: 0.6927 data_time: 0.1208 memory: 13619 grad_norm: 4.2462 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1157 loss: 1.1157 2022/08/01 07:08:42 - mmengine - INFO - Epoch(train) [38][920/940] lr: 1.0000e-02 eta: 12:33:13 time: 0.7956 data_time: 0.2253 memory: 13619 grad_norm: 4.2133 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2232 loss: 1.2232 2022/08/01 07:08:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 07:08:55 - mmengine - INFO - Epoch(train) [38][940/940] lr: 1.0000e-02 eta: 12:32:52 time: 0.6116 data_time: 0.1948 memory: 13619 grad_norm: 4.4643 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.3603 loss: 1.3603 2022/08/01 07:09:13 - mmengine - INFO - Epoch(val) [38][20/78] eta: 0:00:53 time: 0.9184 data_time: 0.8216 memory: 2186 2022/08/01 07:09:25 - mmengine - INFO - Epoch(val) [38][40/78] eta: 0:00:22 time: 0.6001 data_time: 0.5016 memory: 2186 2022/08/01 07:09:41 - mmengine - INFO - Epoch(val) [38][60/78] eta: 0:00:14 time: 0.8016 data_time: 0.7042 memory: 2186 2022/08/01 07:09:53 - mmengine - INFO - Epoch(val) [38][78/78] acc/top1: 0.6599 acc/top5: 0.8655 acc/mean1: 0.6596 2022/08/01 07:10:14 - mmengine - INFO - Epoch(train) [39][20/940] lr: 1.0000e-02 eta: 12:32:44 time: 1.0176 data_time: 0.4876 memory: 13619 grad_norm: 4.2046 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/08/01 07:10:28 - mmengine - INFO - Epoch(train) [39][40/940] lr: 1.0000e-02 eta: 12:32:26 time: 0.6882 data_time: 0.1820 memory: 13619 grad_norm: 4.1801 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2954 loss: 1.2954 2022/08/01 07:10:45 - mmengine - INFO - Epoch(train) [39][60/940] lr: 1.0000e-02 eta: 12:32:13 time: 0.8583 data_time: 0.2681 memory: 13619 grad_norm: 4.1060 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2081 loss: 1.2081 2022/08/01 07:10:58 - mmengine - INFO - Epoch(train) [39][80/940] lr: 1.0000e-02 eta: 12:31:54 time: 0.6719 data_time: 0.1570 memory: 13619 grad_norm: 4.2282 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2185 loss: 1.2185 2022/08/01 07:11:15 - mmengine - INFO - Epoch(train) [39][100/940] lr: 1.0000e-02 eta: 12:31:40 time: 0.8317 data_time: 0.1223 memory: 13619 grad_norm: 4.2086 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1602 loss: 1.1602 2022/08/01 07:11:29 - mmengine - INFO - Epoch(train) [39][120/940] lr: 1.0000e-02 eta: 12:31:23 time: 0.7280 data_time: 0.0868 memory: 13619 grad_norm: 4.2554 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3377 loss: 1.3377 2022/08/01 07:11:47 - mmengine - INFO - Epoch(train) [39][140/940] lr: 1.0000e-02 eta: 12:31:11 time: 0.8696 data_time: 0.0459 memory: 13619 grad_norm: 4.2703 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2685 loss: 1.2685 2022/08/01 07:12:00 - mmengine - INFO - Epoch(train) [39][160/940] lr: 1.0000e-02 eta: 12:30:52 time: 0.6704 data_time: 0.0311 memory: 13619 grad_norm: 4.1572 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2984 loss: 1.2984 2022/08/01 07:12:17 - mmengine - INFO - Epoch(train) [39][180/940] lr: 1.0000e-02 eta: 12:30:38 time: 0.8279 data_time: 0.0381 memory: 13619 grad_norm: 4.1525 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3177 loss: 1.3177 2022/08/01 07:12:30 - mmengine - INFO - Epoch(train) [39][200/940] lr: 1.0000e-02 eta: 12:30:19 time: 0.6518 data_time: 0.0372 memory: 13619 grad_norm: 4.2352 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2060 loss: 1.2060 2022/08/01 07:12:47 - mmengine - INFO - Epoch(train) [39][220/940] lr: 1.0000e-02 eta: 12:30:07 time: 0.8780 data_time: 0.1268 memory: 13619 grad_norm: 4.2363 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2490 loss: 1.2490 2022/08/01 07:13:00 - mmengine - INFO - Epoch(train) [39][240/940] lr: 1.0000e-02 eta: 12:29:47 time: 0.6592 data_time: 0.0359 memory: 13619 grad_norm: 4.3195 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1885 loss: 1.1885 2022/08/01 07:13:18 - mmengine - INFO - Epoch(train) [39][260/940] lr: 1.0000e-02 eta: 12:29:35 time: 0.8618 data_time: 0.1691 memory: 13619 grad_norm: 4.2980 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3405 loss: 1.3405 2022/08/01 07:13:31 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 07:13:31 - mmengine - INFO - Epoch(train) [39][280/940] lr: 1.0000e-02 eta: 12:29:16 time: 0.6720 data_time: 0.2600 memory: 13619 grad_norm: 4.1805 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1932 loss: 1.1932 2022/08/01 07:13:48 - mmengine - INFO - Epoch(train) [39][300/940] lr: 1.0000e-02 eta: 12:29:03 time: 0.8574 data_time: 0.2973 memory: 13619 grad_norm: 4.2515 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.3206 loss: 1.3206 2022/08/01 07:14:02 - mmengine - INFO - Epoch(train) [39][320/940] lr: 1.0000e-02 eta: 12:28:44 time: 0.6655 data_time: 0.1657 memory: 13619 grad_norm: 4.2496 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1999 loss: 1.1999 2022/08/01 07:14:18 - mmengine - INFO - Epoch(train) [39][340/940] lr: 1.0000e-02 eta: 12:28:30 time: 0.8380 data_time: 0.3331 memory: 13619 grad_norm: 4.2567 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1925 loss: 1.1925 2022/08/01 07:14:32 - mmengine - INFO - Epoch(train) [39][360/940] lr: 1.0000e-02 eta: 12:28:12 time: 0.6718 data_time: 0.1332 memory: 13619 grad_norm: 4.2298 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3640 loss: 1.3640 2022/08/01 07:14:49 - mmengine - INFO - Epoch(train) [39][380/940] lr: 1.0000e-02 eta: 12:27:59 time: 0.8694 data_time: 0.3593 memory: 13619 grad_norm: 4.2392 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3708 loss: 1.3708 2022/08/01 07:15:02 - mmengine - INFO - Epoch(train) [39][400/940] lr: 1.0000e-02 eta: 12:27:40 time: 0.6465 data_time: 0.1884 memory: 13619 grad_norm: 4.2173 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2138 loss: 1.2138 2022/08/01 07:15:20 - mmengine - INFO - Epoch(train) [39][420/940] lr: 1.0000e-02 eta: 12:27:27 time: 0.8716 data_time: 0.4165 memory: 13619 grad_norm: 4.2849 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3400 loss: 1.3400 2022/08/01 07:15:33 - mmengine - INFO - Epoch(train) [39][440/940] lr: 1.0000e-02 eta: 12:27:09 time: 0.6931 data_time: 0.3164 memory: 13619 grad_norm: 4.3356 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.2259 loss: 1.2259 2022/08/01 07:15:51 - mmengine - INFO - Epoch(train) [39][460/940] lr: 1.0000e-02 eta: 12:26:57 time: 0.8708 data_time: 0.3739 memory: 13619 grad_norm: 4.0894 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2311 loss: 1.2311 2022/08/01 07:16:04 - mmengine - INFO - Epoch(train) [39][480/940] lr: 1.0000e-02 eta: 12:26:37 time: 0.6591 data_time: 0.1839 memory: 13619 grad_norm: 4.3135 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3606 loss: 1.3606 2022/08/01 07:16:20 - mmengine - INFO - Epoch(train) [39][500/940] lr: 1.0000e-02 eta: 12:26:23 time: 0.8101 data_time: 0.3320 memory: 13619 grad_norm: 4.3494 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2978 loss: 1.2978 2022/08/01 07:16:33 - mmengine - INFO - Epoch(train) [39][520/940] lr: 1.0000e-02 eta: 12:26:04 time: 0.6544 data_time: 0.2096 memory: 13619 grad_norm: 4.3165 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1448 loss: 1.1448 2022/08/01 07:16:50 - mmengine - INFO - Epoch(train) [39][540/940] lr: 1.0000e-02 eta: 12:25:50 time: 0.8414 data_time: 0.2266 memory: 13619 grad_norm: 4.3256 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2860 loss: 1.2860 2022/08/01 07:17:03 - mmengine - INFO - Epoch(train) [39][560/940] lr: 1.0000e-02 eta: 12:25:31 time: 0.6585 data_time: 0.0402 memory: 13619 grad_norm: 4.2226 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2088 loss: 1.2088 2022/08/01 07:17:21 - mmengine - INFO - Epoch(train) [39][580/940] lr: 1.0000e-02 eta: 12:25:19 time: 0.8754 data_time: 0.2527 memory: 13619 grad_norm: 4.2119 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2766 loss: 1.2766 2022/08/01 07:17:34 - mmengine - INFO - Epoch(train) [39][600/940] lr: 1.0000e-02 eta: 12:25:00 time: 0.6621 data_time: 0.2155 memory: 13619 grad_norm: 4.2580 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1555 loss: 1.1555 2022/08/01 07:17:51 - mmengine - INFO - Epoch(train) [39][620/940] lr: 1.0000e-02 eta: 12:24:47 time: 0.8665 data_time: 0.2515 memory: 13619 grad_norm: 4.2893 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2496 loss: 1.2496 2022/08/01 07:18:06 - mmengine - INFO - Epoch(train) [39][640/940] lr: 1.0000e-02 eta: 12:24:29 time: 0.7051 data_time: 0.2410 memory: 13619 grad_norm: 4.3247 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3694 loss: 1.3694 2022/08/01 07:18:23 - mmengine - INFO - Epoch(train) [39][660/940] lr: 1.0000e-02 eta: 12:24:17 time: 0.8737 data_time: 0.2221 memory: 13619 grad_norm: 4.2281 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1771 loss: 1.1771 2022/08/01 07:18:36 - mmengine - INFO - Epoch(train) [39][680/940] lr: 1.0000e-02 eta: 12:23:57 time: 0.6357 data_time: 0.1394 memory: 13619 grad_norm: 4.1709 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3435 loss: 1.3435 2022/08/01 07:18:53 - mmengine - INFO - Epoch(train) [39][700/940] lr: 1.0000e-02 eta: 12:23:44 time: 0.8662 data_time: 0.3081 memory: 13619 grad_norm: 4.2821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2371 loss: 1.2371 2022/08/01 07:19:06 - mmengine - INFO - Epoch(train) [39][720/940] lr: 1.0000e-02 eta: 12:23:25 time: 0.6584 data_time: 0.2078 memory: 13619 grad_norm: 4.2236 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3085 loss: 1.3085 2022/08/01 07:19:25 - mmengine - INFO - Epoch(train) [39][740/940] lr: 1.0000e-02 eta: 12:23:14 time: 0.9226 data_time: 0.3141 memory: 13619 grad_norm: 4.2817 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2770 loss: 1.2770 2022/08/01 07:19:39 - mmengine - INFO - Epoch(train) [39][760/940] lr: 1.0000e-02 eta: 12:22:57 time: 0.7202 data_time: 0.1487 memory: 13619 grad_norm: 4.2414 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2386 loss: 1.2386 2022/08/01 07:19:57 - mmengine - INFO - Epoch(train) [39][780/940] lr: 1.0000e-02 eta: 12:22:45 time: 0.8805 data_time: 0.1708 memory: 13619 grad_norm: 4.2519 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1378 loss: 1.1378 2022/08/01 07:20:10 - mmengine - INFO - Epoch(train) [39][800/940] lr: 1.0000e-02 eta: 12:22:25 time: 0.6406 data_time: 0.0942 memory: 13619 grad_norm: 4.2975 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3093 loss: 1.3093 2022/08/01 07:20:26 - mmengine - INFO - Epoch(train) [39][820/940] lr: 1.0000e-02 eta: 12:22:11 time: 0.8160 data_time: 0.1543 memory: 13619 grad_norm: 4.2533 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3193 loss: 1.3193 2022/08/01 07:20:39 - mmengine - INFO - Epoch(train) [39][840/940] lr: 1.0000e-02 eta: 12:21:52 time: 0.6518 data_time: 0.2475 memory: 13619 grad_norm: 4.2866 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3498 loss: 1.3498 2022/08/01 07:20:55 - mmengine - INFO - Epoch(train) [39][860/940] lr: 1.0000e-02 eta: 12:21:38 time: 0.8160 data_time: 0.3637 memory: 13619 grad_norm: 4.2675 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2442 loss: 1.2442 2022/08/01 07:21:10 - mmengine - INFO - Epoch(train) [39][880/940] lr: 1.0000e-02 eta: 12:21:21 time: 0.7335 data_time: 0.0898 memory: 13619 grad_norm: 4.2332 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3081 loss: 1.3081 2022/08/01 07:21:25 - mmengine - INFO - Epoch(train) [39][900/940] lr: 1.0000e-02 eta: 12:21:04 time: 0.7376 data_time: 0.1141 memory: 13619 grad_norm: 4.3393 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.3289 loss: 1.3289 2022/08/01 07:21:40 - mmengine - INFO - Epoch(train) [39][920/940] lr: 1.0000e-02 eta: 12:20:48 time: 0.7636 data_time: 0.0391 memory: 13619 grad_norm: 4.2335 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2904 loss: 1.2904 2022/08/01 07:21:54 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 07:21:54 - mmengine - INFO - Epoch(train) [39][940/940] lr: 1.0000e-02 eta: 12:20:30 time: 0.6822 data_time: 0.0417 memory: 13619 grad_norm: 4.5124 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2868 loss: 1.2868 2022/08/01 07:21:54 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/01 07:22:13 - mmengine - INFO - Epoch(val) [39][20/78] eta: 0:00:50 time: 0.8714 data_time: 0.7801 memory: 2186 2022/08/01 07:22:25 - mmengine - INFO - Epoch(val) [39][40/78] eta: 0:00:22 time: 0.5994 data_time: 0.5075 memory: 2186 2022/08/01 07:22:42 - mmengine - INFO - Epoch(val) [39][60/78] eta: 0:00:15 time: 0.8603 data_time: 0.7697 memory: 2186 2022/08/01 07:22:55 - mmengine - INFO - Epoch(val) [39][78/78] acc/top1: 0.6534 acc/top5: 0.8601 acc/mean1: 0.6533 2022/08/01 07:23:15 - mmengine - INFO - Epoch(train) [40][20/940] lr: 1.0000e-02 eta: 12:20:21 time: 0.9948 data_time: 0.5376 memory: 13619 grad_norm: 4.1345 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1387 loss: 1.1387 2022/08/01 07:23:29 - mmengine - INFO - Epoch(train) [40][40/940] lr: 1.0000e-02 eta: 12:20:02 time: 0.6594 data_time: 0.2510 memory: 13619 grad_norm: 4.2617 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1545 loss: 1.1545 2022/08/01 07:23:47 - mmengine - INFO - Epoch(train) [40][60/940] lr: 1.0000e-02 eta: 12:19:51 time: 0.9201 data_time: 0.1456 memory: 13619 grad_norm: 4.1446 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1406 loss: 1.1406 2022/08/01 07:24:01 - mmengine - INFO - Epoch(train) [40][80/940] lr: 1.0000e-02 eta: 12:19:33 time: 0.6791 data_time: 0.0376 memory: 13619 grad_norm: 4.2115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3470 loss: 1.3470 2022/08/01 07:24:18 - mmengine - INFO - Epoch(train) [40][100/940] lr: 1.0000e-02 eta: 12:19:19 time: 0.8509 data_time: 0.0483 memory: 13619 grad_norm: 4.1481 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0970 loss: 1.0970 2022/08/01 07:24:32 - mmengine - INFO - Epoch(train) [40][120/940] lr: 1.0000e-02 eta: 12:19:02 time: 0.7108 data_time: 0.0349 memory: 13619 grad_norm: 4.1298 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1488 loss: 1.1488 2022/08/01 07:24:50 - mmengine - INFO - Epoch(train) [40][140/940] lr: 1.0000e-02 eta: 12:18:51 time: 0.9087 data_time: 0.0332 memory: 13619 grad_norm: 4.1542 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1890 loss: 1.1890 2022/08/01 07:25:03 - mmengine - INFO - Epoch(train) [40][160/940] lr: 1.0000e-02 eta: 12:18:32 time: 0.6654 data_time: 0.0389 memory: 13619 grad_norm: 4.2719 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3871 loss: 1.3871 2022/08/01 07:25:20 - mmengine - INFO - Epoch(train) [40][180/940] lr: 1.0000e-02 eta: 12:18:18 time: 0.8462 data_time: 0.0368 memory: 13619 grad_norm: 4.2211 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2497 loss: 1.2497 2022/08/01 07:25:33 - mmengine - INFO - Epoch(train) [40][200/940] lr: 1.0000e-02 eta: 12:17:59 time: 0.6340 data_time: 0.0377 memory: 13619 grad_norm: 4.2795 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1909 loss: 1.1909 2022/08/01 07:25:51 - mmengine - INFO - Epoch(train) [40][220/940] lr: 1.0000e-02 eta: 12:17:47 time: 0.8883 data_time: 0.0393 memory: 13619 grad_norm: 4.1964 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3518 loss: 1.3518 2022/08/01 07:26:04 - mmengine - INFO - Epoch(train) [40][240/940] lr: 1.0000e-02 eta: 12:17:28 time: 0.6719 data_time: 0.0414 memory: 13619 grad_norm: 4.3516 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.3330 loss: 1.3330 2022/08/01 07:26:21 - mmengine - INFO - Epoch(train) [40][260/940] lr: 1.0000e-02 eta: 12:17:14 time: 0.8261 data_time: 0.0393 memory: 13619 grad_norm: 4.2665 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4008 loss: 1.4008 2022/08/01 07:26:34 - mmengine - INFO - Epoch(train) [40][280/940] lr: 1.0000e-02 eta: 12:16:55 time: 0.6782 data_time: 0.0417 memory: 13619 grad_norm: 4.2792 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2328 loss: 1.2328 2022/08/01 07:26:52 - mmengine - INFO - Epoch(train) [40][300/940] lr: 1.0000e-02 eta: 12:16:43 time: 0.8677 data_time: 0.0358 memory: 13619 grad_norm: 4.2380 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1955 loss: 1.1955 2022/08/01 07:27:06 - mmengine - INFO - Epoch(train) [40][320/940] lr: 1.0000e-02 eta: 12:16:25 time: 0.7027 data_time: 0.0426 memory: 13619 grad_norm: 4.2100 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3232 loss: 1.3232 2022/08/01 07:27:22 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 07:27:22 - mmengine - INFO - Epoch(train) [40][340/940] lr: 1.0000e-02 eta: 12:16:12 time: 0.8421 data_time: 0.0428 memory: 13619 grad_norm: 4.2643 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2293 loss: 1.2293 2022/08/01 07:27:37 - mmengine - INFO - Epoch(train) [40][360/940] lr: 1.0000e-02 eta: 12:15:54 time: 0.7089 data_time: 0.0418 memory: 13619 grad_norm: 4.1192 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2984 loss: 1.2984 2022/08/01 07:27:54 - mmengine - INFO - Epoch(train) [40][380/940] lr: 1.0000e-02 eta: 12:15:41 time: 0.8638 data_time: 0.0441 memory: 13619 grad_norm: 4.2565 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3711 loss: 1.3711 2022/08/01 07:28:07 - mmengine - INFO - Epoch(train) [40][400/940] lr: 1.0000e-02 eta: 12:15:22 time: 0.6541 data_time: 0.0377 memory: 13619 grad_norm: 4.2350 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3400 loss: 1.3400 2022/08/01 07:28:24 - mmengine - INFO - Epoch(train) [40][420/940] lr: 1.0000e-02 eta: 12:15:10 time: 0.8717 data_time: 0.0350 memory: 13619 grad_norm: 4.2177 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3474 loss: 1.3474 2022/08/01 07:28:39 - mmengine - INFO - Epoch(train) [40][440/940] lr: 1.0000e-02 eta: 12:14:52 time: 0.7100 data_time: 0.0385 memory: 13619 grad_norm: 4.1850 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2155 loss: 1.2155 2022/08/01 07:28:56 - mmengine - INFO - Epoch(train) [40][460/940] lr: 1.0000e-02 eta: 12:14:39 time: 0.8658 data_time: 0.0354 memory: 13619 grad_norm: 4.2657 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1735 loss: 1.1735 2022/08/01 07:29:09 - mmengine - INFO - Epoch(train) [40][480/940] lr: 1.0000e-02 eta: 12:14:20 time: 0.6425 data_time: 0.0369 memory: 13619 grad_norm: 4.3012 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2641 loss: 1.2641 2022/08/01 07:29:26 - mmengine - INFO - Epoch(train) [40][500/940] lr: 1.0000e-02 eta: 12:14:07 time: 0.8614 data_time: 0.0311 memory: 13619 grad_norm: 4.2390 top1_acc: 0.5000 top5_acc: 0.9062 loss_cls: 1.1965 loss: 1.1965 2022/08/01 07:29:39 - mmengine - INFO - Epoch(train) [40][520/940] lr: 1.0000e-02 eta: 12:13:48 time: 0.6433 data_time: 0.0364 memory: 13619 grad_norm: 4.2900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1861 loss: 1.1861 2022/08/01 07:29:55 - mmengine - INFO - Epoch(train) [40][540/940] lr: 1.0000e-02 eta: 12:13:33 time: 0.8218 data_time: 0.0476 memory: 13619 grad_norm: 4.3405 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2498 loss: 1.2498 2022/08/01 07:30:09 - mmengine - INFO - Epoch(train) [40][560/940] lr: 1.0000e-02 eta: 12:13:15 time: 0.6813 data_time: 0.0382 memory: 13619 grad_norm: 4.2649 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3023 loss: 1.3023 2022/08/01 07:30:26 - mmengine - INFO - Epoch(train) [40][580/940] lr: 1.0000e-02 eta: 12:13:02 time: 0.8483 data_time: 0.0391 memory: 13619 grad_norm: 4.2890 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2199 loss: 1.2199 2022/08/01 07:30:41 - mmengine - INFO - Epoch(train) [40][600/940] lr: 1.0000e-02 eta: 12:12:45 time: 0.7380 data_time: 0.0406 memory: 13619 grad_norm: 4.3380 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1665 loss: 1.1665 2022/08/01 07:30:58 - mmengine - INFO - Epoch(train) [40][620/940] lr: 1.0000e-02 eta: 12:12:32 time: 0.8470 data_time: 0.0351 memory: 13619 grad_norm: 4.3892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3246 loss: 1.3246 2022/08/01 07:31:11 - mmengine - INFO - Epoch(train) [40][640/940] lr: 1.0000e-02 eta: 12:12:13 time: 0.6694 data_time: 0.0401 memory: 13619 grad_norm: 4.2804 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3361 loss: 1.3361 2022/08/01 07:31:30 - mmengine - INFO - Epoch(train) [40][660/940] lr: 1.0000e-02 eta: 12:12:03 time: 0.9324 data_time: 0.0424 memory: 13619 grad_norm: 4.4097 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4255 loss: 1.4255 2022/08/01 07:31:44 - mmengine - INFO - Epoch(train) [40][680/940] lr: 1.0000e-02 eta: 12:11:45 time: 0.7148 data_time: 0.0529 memory: 13619 grad_norm: 4.3541 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3466 loss: 1.3466 2022/08/01 07:32:00 - mmengine - INFO - Epoch(train) [40][700/940] lr: 1.0000e-02 eta: 12:11:31 time: 0.8208 data_time: 0.0355 memory: 13619 grad_norm: 4.3854 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1632 loss: 1.1632 2022/08/01 07:32:13 - mmengine - INFO - Epoch(train) [40][720/940] lr: 1.0000e-02 eta: 12:11:11 time: 0.6125 data_time: 0.0382 memory: 13619 grad_norm: 4.3658 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3256 loss: 1.3256 2022/08/01 07:32:30 - mmengine - INFO - Epoch(train) [40][740/940] lr: 1.0000e-02 eta: 12:10:57 time: 0.8425 data_time: 0.0384 memory: 13619 grad_norm: 4.3950 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1177 loss: 1.1177 2022/08/01 07:32:44 - mmengine - INFO - Epoch(train) [40][760/940] lr: 1.0000e-02 eta: 12:10:40 time: 0.7237 data_time: 0.0425 memory: 13619 grad_norm: 4.2933 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1160 loss: 1.1160 2022/08/01 07:33:01 - mmengine - INFO - Epoch(train) [40][780/940] lr: 1.0000e-02 eta: 12:10:27 time: 0.8387 data_time: 0.0369 memory: 13619 grad_norm: 4.3091 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3092 loss: 1.3092 2022/08/01 07:33:14 - mmengine - INFO - Epoch(train) [40][800/940] lr: 1.0000e-02 eta: 12:10:08 time: 0.6658 data_time: 0.0343 memory: 13619 grad_norm: 4.3100 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2591 loss: 1.2591 2022/08/01 07:33:30 - mmengine - INFO - Epoch(train) [40][820/940] lr: 1.0000e-02 eta: 12:09:53 time: 0.8076 data_time: 0.0343 memory: 13619 grad_norm: 4.3756 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3709 loss: 1.3709 2022/08/01 07:33:44 - mmengine - INFO - Epoch(train) [40][840/940] lr: 1.0000e-02 eta: 12:09:35 time: 0.6763 data_time: 0.0447 memory: 13619 grad_norm: 4.2860 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2835 loss: 1.2835 2022/08/01 07:34:00 - mmengine - INFO - Epoch(train) [40][860/940] lr: 1.0000e-02 eta: 12:09:21 time: 0.8219 data_time: 0.0397 memory: 13619 grad_norm: 4.2966 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2398 loss: 1.2398 2022/08/01 07:34:14 - mmengine - INFO - Epoch(train) [40][880/940] lr: 1.0000e-02 eta: 12:09:03 time: 0.6852 data_time: 0.0358 memory: 13619 grad_norm: 4.3197 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3355 loss: 1.3355 2022/08/01 07:34:31 - mmengine - INFO - Epoch(train) [40][900/940] lr: 1.0000e-02 eta: 12:08:49 time: 0.8479 data_time: 0.0610 memory: 13619 grad_norm: 4.3594 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3026 loss: 1.3026 2022/08/01 07:34:46 - mmengine - INFO - Epoch(train) [40][920/940] lr: 1.0000e-02 eta: 12:08:32 time: 0.7323 data_time: 0.0374 memory: 13619 grad_norm: 4.2350 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2803 loss: 1.2803 2022/08/01 07:35:00 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 07:35:00 - mmengine - INFO - Epoch(train) [40][940/940] lr: 1.0000e-02 eta: 12:08:15 time: 0.7083 data_time: 0.0263 memory: 13619 grad_norm: 4.6648 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.2898 loss: 1.2898 2022/08/01 07:35:17 - mmengine - INFO - Epoch(val) [40][20/78] eta: 0:00:49 time: 0.8500 data_time: 0.7519 memory: 2186 2022/08/01 07:35:29 - mmengine - INFO - Epoch(val) [40][40/78] eta: 0:00:22 time: 0.5999 data_time: 0.5074 memory: 2186 2022/08/01 07:35:45 - mmengine - INFO - Epoch(val) [40][60/78] eta: 0:00:14 time: 0.8217 data_time: 0.7170 memory: 2186 2022/08/01 07:35:58 - mmengine - INFO - Epoch(val) [40][78/78] acc/top1: 0.6573 acc/top5: 0.8647 acc/mean1: 0.6571 2022/08/01 07:36:20 - mmengine - INFO - Epoch(train) [41][20/940] lr: 1.0000e-03 eta: 12:08:08 time: 1.0606 data_time: 0.6683 memory: 13619 grad_norm: 4.0816 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.2143 loss: 1.2143 2022/08/01 07:36:34 - mmengine - INFO - Epoch(train) [41][40/940] lr: 1.0000e-03 eta: 12:07:50 time: 0.7031 data_time: 0.1222 memory: 13619 grad_norm: 4.1041 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2855 loss: 1.2855 2022/08/01 07:36:52 - mmengine - INFO - Epoch(train) [41][60/940] lr: 1.0000e-03 eta: 12:07:39 time: 0.9006 data_time: 0.0972 memory: 13619 grad_norm: 4.0358 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1100 loss: 1.1100 2022/08/01 07:37:04 - mmengine - INFO - Epoch(train) [41][80/940] lr: 1.0000e-03 eta: 12:07:19 time: 0.6259 data_time: 0.0336 memory: 13619 grad_norm: 4.1864 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.2703 loss: 1.2703 2022/08/01 07:37:20 - mmengine - INFO - Epoch(train) [41][100/940] lr: 1.0000e-03 eta: 12:07:04 time: 0.8061 data_time: 0.0518 memory: 13619 grad_norm: 4.0282 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2518 loss: 1.2518 2022/08/01 07:37:34 - mmengine - INFO - Epoch(train) [41][120/940] lr: 1.0000e-03 eta: 12:06:47 time: 0.7048 data_time: 0.0434 memory: 13619 grad_norm: 4.0902 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.3075 loss: 1.3075 2022/08/01 07:37:52 - mmengine - INFO - Epoch(train) [41][140/940] lr: 1.0000e-03 eta: 12:06:34 time: 0.8600 data_time: 0.0461 memory: 13619 grad_norm: 3.9564 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1408 loss: 1.1408 2022/08/01 07:38:05 - mmengine - INFO - Epoch(train) [41][160/940] lr: 1.0000e-03 eta: 12:06:14 time: 0.6444 data_time: 0.0584 memory: 13619 grad_norm: 4.0498 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1841 loss: 1.1841 2022/08/01 07:38:22 - mmengine - INFO - Epoch(train) [41][180/940] lr: 1.0000e-03 eta: 12:06:02 time: 0.8935 data_time: 0.0531 memory: 13619 grad_norm: 4.0371 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1690 loss: 1.1690 2022/08/01 07:38:36 - mmengine - INFO - Epoch(train) [41][200/940] lr: 1.0000e-03 eta: 12:05:44 time: 0.6645 data_time: 0.0339 memory: 13619 grad_norm: 3.9646 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/08/01 07:38:54 - mmengine - INFO - Epoch(train) [41][220/940] lr: 1.0000e-03 eta: 12:05:31 time: 0.8862 data_time: 0.0399 memory: 13619 grad_norm: 3.9923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3072 loss: 1.3072 2022/08/01 07:39:06 - mmengine - INFO - Epoch(train) [41][240/940] lr: 1.0000e-03 eta: 12:05:12 time: 0.6446 data_time: 0.0413 memory: 13619 grad_norm: 3.9775 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1111 loss: 1.1111 2022/08/01 07:39:23 - mmengine - INFO - Epoch(train) [41][260/940] lr: 1.0000e-03 eta: 12:04:58 time: 0.8379 data_time: 0.0406 memory: 13619 grad_norm: 3.9364 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0829 loss: 1.0829 2022/08/01 07:39:37 - mmengine - INFO - Epoch(train) [41][280/940] lr: 1.0000e-03 eta: 12:04:40 time: 0.6825 data_time: 0.0353 memory: 13619 grad_norm: 3.9637 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1562 loss: 1.1562 2022/08/01 07:39:54 - mmengine - INFO - Epoch(train) [41][300/940] lr: 1.0000e-03 eta: 12:04:26 time: 0.8298 data_time: 0.0391 memory: 13619 grad_norm: 4.0250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0964 loss: 1.0964 2022/08/01 07:40:08 - mmengine - INFO - Epoch(train) [41][320/940] lr: 1.0000e-03 eta: 12:04:09 time: 0.7192 data_time: 0.0384 memory: 13619 grad_norm: 3.9506 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1089 loss: 1.1089 2022/08/01 07:40:25 - mmengine - INFO - Epoch(train) [41][340/940] lr: 1.0000e-03 eta: 12:03:56 time: 0.8461 data_time: 0.0364 memory: 13619 grad_norm: 4.0711 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2028 loss: 1.2028 2022/08/01 07:40:38 - mmengine - INFO - Epoch(train) [41][360/940] lr: 1.0000e-03 eta: 12:03:37 time: 0.6612 data_time: 0.0390 memory: 13619 grad_norm: 4.0122 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1352 loss: 1.1352 2022/08/01 07:40:55 - mmengine - INFO - Epoch(train) [41][380/940] lr: 1.0000e-03 eta: 12:03:24 time: 0.8652 data_time: 0.0393 memory: 13619 grad_norm: 3.9878 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1965 loss: 1.1965 2022/08/01 07:41:10 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 07:41:10 - mmengine - INFO - Epoch(train) [41][400/940] lr: 1.0000e-03 eta: 12:03:08 time: 0.7438 data_time: 0.0342 memory: 13619 grad_norm: 3.9058 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0940 loss: 1.0940 2022/08/01 07:41:28 - mmengine - INFO - Epoch(train) [41][420/940] lr: 1.0000e-03 eta: 12:02:56 time: 0.9008 data_time: 0.0387 memory: 13619 grad_norm: 3.9594 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0707 loss: 1.0707 2022/08/01 07:41:42 - mmengine - INFO - Epoch(train) [41][440/940] lr: 1.0000e-03 eta: 12:02:38 time: 0.6929 data_time: 0.0395 memory: 13619 grad_norm: 4.0968 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0532 loss: 1.0532 2022/08/01 07:41:59 - mmengine - INFO - Epoch(train) [41][460/940] lr: 1.0000e-03 eta: 12:02:24 time: 0.8257 data_time: 0.0383 memory: 13619 grad_norm: 3.9304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1399 loss: 1.1399 2022/08/01 07:42:12 - mmengine - INFO - Epoch(train) [41][480/940] lr: 1.0000e-03 eta: 12:02:06 time: 0.6791 data_time: 0.0433 memory: 13619 grad_norm: 3.9847 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1201 loss: 1.1201 2022/08/01 07:42:28 - mmengine - INFO - Epoch(train) [41][500/940] lr: 1.0000e-03 eta: 12:01:51 time: 0.8089 data_time: 0.0412 memory: 13619 grad_norm: 4.0555 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0717 loss: 1.0717 2022/08/01 07:42:42 - mmengine - INFO - Epoch(train) [41][520/940] lr: 1.0000e-03 eta: 12:01:33 time: 0.6775 data_time: 0.0384 memory: 13619 grad_norm: 3.9186 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1157 loss: 1.1157 2022/08/01 07:42:58 - mmengine - INFO - Epoch(train) [41][540/940] lr: 1.0000e-03 eta: 12:01:19 time: 0.8195 data_time: 0.0385 memory: 13619 grad_norm: 3.9460 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/08/01 07:43:12 - mmengine - INFO - Epoch(train) [41][560/940] lr: 1.0000e-03 eta: 12:01:01 time: 0.6957 data_time: 0.0426 memory: 13619 grad_norm: 3.9665 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0974 loss: 1.0974 2022/08/01 07:43:28 - mmengine - INFO - Epoch(train) [41][580/940] lr: 1.0000e-03 eta: 12:00:46 time: 0.8008 data_time: 0.0389 memory: 13619 grad_norm: 3.9691 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0187 loss: 1.0187 2022/08/01 07:43:44 - mmengine - INFO - Epoch(train) [41][600/940] lr: 1.0000e-03 eta: 12:00:31 time: 0.7784 data_time: 0.0376 memory: 13619 grad_norm: 3.9592 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0218 loss: 1.0218 2022/08/01 07:43:59 - mmengine - INFO - Epoch(train) [41][620/940] lr: 1.0000e-03 eta: 12:00:14 time: 0.7394 data_time: 0.0402 memory: 13619 grad_norm: 3.9394 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1635 loss: 1.1635 2022/08/01 07:44:14 - mmengine - INFO - Epoch(train) [41][640/940] lr: 1.0000e-03 eta: 11:59:59 time: 0.7791 data_time: 0.0415 memory: 13619 grad_norm: 3.9476 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0177 loss: 1.0177 2022/08/01 07:44:29 - mmengine - INFO - Epoch(train) [41][660/940] lr: 1.0000e-03 eta: 11:59:42 time: 0.7479 data_time: 0.0410 memory: 13619 grad_norm: 3.9365 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9437 loss: 0.9437 2022/08/01 07:44:46 - mmengine - INFO - Epoch(train) [41][680/940] lr: 1.0000e-03 eta: 11:59:28 time: 0.8210 data_time: 0.0490 memory: 13619 grad_norm: 3.9857 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0241 loss: 1.0241 2022/08/01 07:45:02 - mmengine - INFO - Epoch(train) [41][700/940] lr: 1.0000e-03 eta: 11:59:14 time: 0.8028 data_time: 0.0329 memory: 13619 grad_norm: 4.0629 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1374 loss: 1.1374 2022/08/01 07:45:16 - mmengine - INFO - Epoch(train) [41][720/940] lr: 1.0000e-03 eta: 11:58:57 time: 0.7454 data_time: 0.0583 memory: 13619 grad_norm: 3.9438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1118 loss: 1.1118 2022/08/01 07:45:33 - mmengine - INFO - Epoch(train) [41][740/940] lr: 1.0000e-03 eta: 11:58:43 time: 0.8270 data_time: 0.0298 memory: 13619 grad_norm: 3.9630 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0168 loss: 1.0168 2022/08/01 07:45:47 - mmengine - INFO - Epoch(train) [41][760/940] lr: 1.0000e-03 eta: 11:58:25 time: 0.6796 data_time: 0.0375 memory: 13619 grad_norm: 4.0472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0953 loss: 1.0953 2022/08/01 07:46:04 - mmengine - INFO - Epoch(train) [41][780/940] lr: 1.0000e-03 eta: 11:58:12 time: 0.8503 data_time: 0.0325 memory: 13619 grad_norm: 4.0114 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0380 loss: 1.0380 2022/08/01 07:46:17 - mmengine - INFO - Epoch(train) [41][800/940] lr: 1.0000e-03 eta: 11:57:53 time: 0.6636 data_time: 0.0368 memory: 13619 grad_norm: 4.0015 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1368 loss: 1.1368 2022/08/01 07:46:33 - mmengine - INFO - Epoch(train) [41][820/940] lr: 1.0000e-03 eta: 11:57:39 time: 0.8227 data_time: 0.0336 memory: 13619 grad_norm: 4.0439 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1057 loss: 1.1057 2022/08/01 07:46:47 - mmengine - INFO - Epoch(train) [41][840/940] lr: 1.0000e-03 eta: 11:57:20 time: 0.6666 data_time: 0.0418 memory: 13619 grad_norm: 4.0477 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0849 loss: 1.0849 2022/08/01 07:47:04 - mmengine - INFO - Epoch(train) [41][860/940] lr: 1.0000e-03 eta: 11:57:08 time: 0.8853 data_time: 0.0374 memory: 13619 grad_norm: 3.8720 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0977 loss: 1.0977 2022/08/01 07:47:19 - mmengine - INFO - Epoch(train) [41][880/940] lr: 1.0000e-03 eta: 11:56:51 time: 0.7301 data_time: 0.0362 memory: 13619 grad_norm: 3.8974 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0317 loss: 1.0317 2022/08/01 07:47:36 - mmengine - INFO - Epoch(train) [41][900/940] lr: 1.0000e-03 eta: 11:56:38 time: 0.8459 data_time: 0.0371 memory: 13619 grad_norm: 4.0677 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0785 loss: 1.0785 2022/08/01 07:47:49 - mmengine - INFO - Epoch(train) [41][920/940] lr: 1.0000e-03 eta: 11:56:19 time: 0.6557 data_time: 0.0358 memory: 13619 grad_norm: 3.9619 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0296 loss: 1.0296 2022/08/01 07:48:01 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 07:48:01 - mmengine - INFO - Epoch(train) [41][940/940] lr: 1.0000e-03 eta: 11:55:58 time: 0.5945 data_time: 0.0306 memory: 13619 grad_norm: 4.2315 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0719 loss: 1.0719 2022/08/01 07:48:18 - mmengine - INFO - Epoch(val) [41][20/78] eta: 0:00:49 time: 0.8539 data_time: 0.7614 memory: 2186 2022/08/01 07:48:31 - mmengine - INFO - Epoch(val) [41][40/78] eta: 0:00:23 time: 0.6310 data_time: 0.5380 memory: 2186 2022/08/01 07:48:47 - mmengine - INFO - Epoch(val) [41][60/78] eta: 0:00:14 time: 0.8247 data_time: 0.7204 memory: 2186 2022/08/01 07:49:00 - mmengine - INFO - Epoch(val) [41][78/78] acc/top1: 0.6972 acc/top5: 0.8897 acc/mean1: 0.6971 2022/08/01 07:49:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_38.pth is removed 2022/08/01 07:49:02 - mmengine - INFO - The best checkpoint with 0.6972 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/08/01 07:49:20 - mmengine - INFO - Epoch(train) [42][20/940] lr: 1.0000e-03 eta: 11:55:47 time: 0.9339 data_time: 0.6422 memory: 13619 grad_norm: 3.9369 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1263 loss: 1.1263 2022/08/01 07:49:34 - mmengine - INFO - Epoch(train) [42][40/940] lr: 1.0000e-03 eta: 11:55:29 time: 0.6817 data_time: 0.3456 memory: 13619 grad_norm: 3.9526 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0010 loss: 1.0010 2022/08/01 07:49:52 - mmengine - INFO - Epoch(train) [42][60/940] lr: 1.0000e-03 eta: 11:55:17 time: 0.8937 data_time: 0.4606 memory: 13619 grad_norm: 4.0198 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1664 loss: 1.1664 2022/08/01 07:50:07 - mmengine - INFO - Epoch(train) [42][80/940] lr: 1.0000e-03 eta: 11:55:02 time: 0.7779 data_time: 0.2768 memory: 13619 grad_norm: 4.0008 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1128 loss: 1.1128 2022/08/01 07:50:23 - mmengine - INFO - Epoch(train) [42][100/940] lr: 1.0000e-03 eta: 11:54:46 time: 0.7663 data_time: 0.0846 memory: 13619 grad_norm: 3.8511 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0407 loss: 1.0407 2022/08/01 07:50:37 - mmengine - INFO - Epoch(train) [42][120/940] lr: 1.0000e-03 eta: 11:54:28 time: 0.6984 data_time: 0.1318 memory: 13619 grad_norm: 4.0962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0384 loss: 1.0384 2022/08/01 07:50:54 - mmengine - INFO - Epoch(train) [42][140/940] lr: 1.0000e-03 eta: 11:54:15 time: 0.8558 data_time: 0.1982 memory: 13619 grad_norm: 3.9647 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0000 loss: 1.0000 2022/08/01 07:51:08 - mmengine - INFO - Epoch(train) [42][160/940] lr: 1.0000e-03 eta: 11:53:57 time: 0.6893 data_time: 0.1259 memory: 13619 grad_norm: 3.9125 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0888 loss: 1.0888 2022/08/01 07:51:25 - mmengine - INFO - Epoch(train) [42][180/940] lr: 1.0000e-03 eta: 11:53:44 time: 0.8625 data_time: 0.1579 memory: 13619 grad_norm: 3.9654 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/08/01 07:51:38 - mmengine - INFO - Epoch(train) [42][200/940] lr: 1.0000e-03 eta: 11:53:26 time: 0.6765 data_time: 0.1209 memory: 13619 grad_norm: 4.0172 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0360 loss: 1.0360 2022/08/01 07:51:55 - mmengine - INFO - Epoch(train) [42][220/940] lr: 1.0000e-03 eta: 11:53:13 time: 0.8496 data_time: 0.2276 memory: 13619 grad_norm: 4.0693 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1456 loss: 1.1456 2022/08/01 07:52:09 - mmengine - INFO - Epoch(train) [42][240/940] lr: 1.0000e-03 eta: 11:52:55 time: 0.7072 data_time: 0.1554 memory: 13619 grad_norm: 3.9405 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9571 loss: 0.9571 2022/08/01 07:52:26 - mmengine - INFO - Epoch(train) [42][260/940] lr: 1.0000e-03 eta: 11:52:41 time: 0.8328 data_time: 0.2247 memory: 13619 grad_norm: 4.0834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1197 loss: 1.1197 2022/08/01 07:52:39 - mmengine - INFO - Epoch(train) [42][280/940] lr: 1.0000e-03 eta: 11:52:23 time: 0.6610 data_time: 0.0426 memory: 13619 grad_norm: 4.0017 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0877 loss: 1.0877 2022/08/01 07:52:57 - mmengine - INFO - Epoch(train) [42][300/940] lr: 1.0000e-03 eta: 11:52:09 time: 0.8581 data_time: 0.2434 memory: 13619 grad_norm: 3.8893 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1284 loss: 1.1284 2022/08/01 07:53:10 - mmengine - INFO - Epoch(train) [42][320/940] lr: 1.0000e-03 eta: 11:51:51 time: 0.6881 data_time: 0.1812 memory: 13619 grad_norm: 4.0491 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.1703 loss: 1.1703 2022/08/01 07:53:28 - mmengine - INFO - Epoch(train) [42][340/940] lr: 1.0000e-03 eta: 11:51:39 time: 0.8647 data_time: 0.1559 memory: 13619 grad_norm: 3.9800 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0122 loss: 1.0122 2022/08/01 07:53:41 - mmengine - INFO - Epoch(train) [42][360/940] lr: 1.0000e-03 eta: 11:51:20 time: 0.6680 data_time: 0.0373 memory: 13619 grad_norm: 4.0076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9855 loss: 0.9855 2022/08/01 07:53:59 - mmengine - INFO - Epoch(train) [42][380/940] lr: 1.0000e-03 eta: 11:51:08 time: 0.8878 data_time: 0.1290 memory: 13619 grad_norm: 4.0409 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1235 loss: 1.1235 2022/08/01 07:54:12 - mmengine - INFO - Epoch(train) [42][400/940] lr: 1.0000e-03 eta: 11:50:49 time: 0.6492 data_time: 0.0663 memory: 13619 grad_norm: 3.9275 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0446 loss: 1.0446 2022/08/01 07:54:28 - mmengine - INFO - Epoch(train) [42][420/940] lr: 1.0000e-03 eta: 11:50:35 time: 0.8245 data_time: 0.1087 memory: 13619 grad_norm: 3.9432 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1293 loss: 1.1293 2022/08/01 07:54:41 - mmengine - INFO - Epoch(train) [42][440/940] lr: 1.0000e-03 eta: 11:50:15 time: 0.6411 data_time: 0.1074 memory: 13619 grad_norm: 4.1622 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0850 loss: 1.0850 2022/08/01 07:54:59 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 07:54:59 - mmengine - INFO - Epoch(train) [42][460/940] lr: 1.0000e-03 eta: 11:50:03 time: 0.8968 data_time: 0.1404 memory: 13619 grad_norm: 4.0818 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1639 loss: 1.1639 2022/08/01 07:55:12 - mmengine - INFO - Epoch(train) [42][480/940] lr: 1.0000e-03 eta: 11:49:44 time: 0.6549 data_time: 0.0675 memory: 13619 grad_norm: 4.0709 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0877 loss: 1.0877 2022/08/01 07:55:29 - mmengine - INFO - Epoch(train) [42][500/940] lr: 1.0000e-03 eta: 11:49:32 time: 0.8692 data_time: 0.1003 memory: 13619 grad_norm: 3.9393 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0820 loss: 1.0820 2022/08/01 07:55:43 - mmengine - INFO - Epoch(train) [42][520/940] lr: 1.0000e-03 eta: 11:49:14 time: 0.6948 data_time: 0.0440 memory: 13619 grad_norm: 4.0545 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0704 loss: 1.0704 2022/08/01 07:56:00 - mmengine - INFO - Epoch(train) [42][540/940] lr: 1.0000e-03 eta: 11:49:00 time: 0.8411 data_time: 0.0370 memory: 13619 grad_norm: 3.9437 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0743 loss: 1.0743 2022/08/01 07:56:14 - mmengine - INFO - Epoch(train) [42][560/940] lr: 1.0000e-03 eta: 11:48:43 time: 0.6996 data_time: 0.0386 memory: 13619 grad_norm: 3.9567 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1651 loss: 1.1651 2022/08/01 07:56:31 - mmengine - INFO - Epoch(train) [42][580/940] lr: 1.0000e-03 eta: 11:48:28 time: 0.8180 data_time: 0.0430 memory: 13619 grad_norm: 4.0617 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1183 loss: 1.1183 2022/08/01 07:56:45 - mmengine - INFO - Epoch(train) [42][600/940] lr: 1.0000e-03 eta: 11:48:11 time: 0.7091 data_time: 0.0332 memory: 13619 grad_norm: 3.9890 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0416 loss: 1.0416 2022/08/01 07:57:02 - mmengine - INFO - Epoch(train) [42][620/940] lr: 1.0000e-03 eta: 11:47:58 time: 0.8792 data_time: 0.0402 memory: 13619 grad_norm: 3.9244 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0052 loss: 1.0052 2022/08/01 07:57:16 - mmengine - INFO - Epoch(train) [42][640/940] lr: 1.0000e-03 eta: 11:47:41 time: 0.7005 data_time: 0.0354 memory: 13619 grad_norm: 4.0481 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0735 loss: 1.0735 2022/08/01 07:57:33 - mmengine - INFO - Epoch(train) [42][660/940] lr: 1.0000e-03 eta: 11:47:27 time: 0.8294 data_time: 0.0359 memory: 13619 grad_norm: 3.9727 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0071 loss: 1.0071 2022/08/01 07:57:45 - mmengine - INFO - Epoch(train) [42][680/940] lr: 1.0000e-03 eta: 11:47:07 time: 0.6099 data_time: 0.0352 memory: 13619 grad_norm: 4.0040 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9688 loss: 0.9688 2022/08/01 07:58:03 - mmengine - INFO - Epoch(train) [42][700/940] lr: 1.0000e-03 eta: 11:46:54 time: 0.8844 data_time: 0.0380 memory: 13619 grad_norm: 4.0614 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1147 loss: 1.1147 2022/08/01 07:58:16 - mmengine - INFO - Epoch(train) [42][720/940] lr: 1.0000e-03 eta: 11:46:35 time: 0.6501 data_time: 0.0626 memory: 13619 grad_norm: 4.0000 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0004 loss: 1.0004 2022/08/01 07:58:33 - mmengine - INFO - Epoch(train) [42][740/940] lr: 1.0000e-03 eta: 11:46:22 time: 0.8538 data_time: 0.1085 memory: 13619 grad_norm: 4.0098 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1035 loss: 1.1035 2022/08/01 07:58:47 - mmengine - INFO - Epoch(train) [42][760/940] lr: 1.0000e-03 eta: 11:46:04 time: 0.6872 data_time: 0.1420 memory: 13619 grad_norm: 4.0406 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0468 loss: 1.0468 2022/08/01 07:59:04 - mmengine - INFO - Epoch(train) [42][780/940] lr: 1.0000e-03 eta: 11:45:51 time: 0.8606 data_time: 0.2595 memory: 13619 grad_norm: 3.9375 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0082 loss: 1.0082 2022/08/01 07:59:18 - mmengine - INFO - Epoch(train) [42][800/940] lr: 1.0000e-03 eta: 11:45:33 time: 0.6863 data_time: 0.1492 memory: 13619 grad_norm: 4.1384 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1461 loss: 1.1461 2022/08/01 07:59:36 - mmengine - INFO - Epoch(train) [42][820/940] lr: 1.0000e-03 eta: 11:45:21 time: 0.8990 data_time: 0.0417 memory: 13619 grad_norm: 4.0445 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1260 loss: 1.1260 2022/08/01 07:59:48 - mmengine - INFO - Epoch(train) [42][840/940] lr: 1.0000e-03 eta: 11:45:02 time: 0.6380 data_time: 0.0429 memory: 13619 grad_norm: 4.0510 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0933 loss: 1.0933 2022/08/01 08:00:06 - mmengine - INFO - Epoch(train) [42][860/940] lr: 1.0000e-03 eta: 11:44:49 time: 0.8810 data_time: 0.0630 memory: 13619 grad_norm: 4.0081 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0285 loss: 1.0285 2022/08/01 08:00:20 - mmengine - INFO - Epoch(train) [42][880/940] lr: 1.0000e-03 eta: 11:44:32 time: 0.7039 data_time: 0.0320 memory: 13619 grad_norm: 4.0003 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9411 loss: 0.9411 2022/08/01 08:00:38 - mmengine - INFO - Epoch(train) [42][900/940] lr: 1.0000e-03 eta: 11:44:20 time: 0.8910 data_time: 0.0361 memory: 13619 grad_norm: 4.0632 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1438 loss: 1.1438 2022/08/01 08:00:50 - mmengine - INFO - Epoch(train) [42][920/940] lr: 1.0000e-03 eta: 11:44:00 time: 0.6262 data_time: 0.0356 memory: 13619 grad_norm: 4.0009 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1189 loss: 1.1189 2022/08/01 08:01:05 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 08:01:05 - mmengine - INFO - Epoch(train) [42][940/940] lr: 1.0000e-03 eta: 11:43:44 time: 0.7372 data_time: 0.0347 memory: 13619 grad_norm: 4.3067 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0445 loss: 1.0445 2022/08/01 08:01:05 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/01 08:01:25 - mmengine - INFO - Epoch(val) [42][20/78] eta: 0:00:50 time: 0.8747 data_time: 0.7833 memory: 2186 2022/08/01 08:01:36 - mmengine - INFO - Epoch(val) [42][40/78] eta: 0:00:22 time: 0.5860 data_time: 0.4931 memory: 2186 2022/08/01 08:01:53 - mmengine - INFO - Epoch(val) [42][60/78] eta: 0:00:15 time: 0.8352 data_time: 0.7429 memory: 2186 2022/08/01 08:02:05 - mmengine - INFO - Epoch(val) [42][78/78] acc/top1: 0.7003 acc/top5: 0.8919 acc/mean1: 0.7003 2022/08/01 08:02:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_42.pth is removed 2022/08/01 08:02:07 - mmengine - INFO - The best checkpoint with 0.7003 acc/top1 at 43 epoch is saved to best_acc/top1_epoch_43.pth. 2022/08/01 08:02:26 - mmengine - INFO - Epoch(train) [43][20/940] lr: 1.0000e-03 eta: 11:43:33 time: 0.9609 data_time: 0.6664 memory: 13619 grad_norm: 4.0062 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1133 loss: 1.1133 2022/08/01 08:02:40 - mmengine - INFO - Epoch(train) [43][40/940] lr: 1.0000e-03 eta: 11:43:16 time: 0.6995 data_time: 0.3001 memory: 13619 grad_norm: 3.9803 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9672 loss: 0.9672 2022/08/01 08:02:57 - mmengine - INFO - Epoch(train) [43][60/940] lr: 1.0000e-03 eta: 11:43:02 time: 0.8470 data_time: 0.5326 memory: 13619 grad_norm: 3.9715 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/08/01 08:03:11 - mmengine - INFO - Epoch(train) [43][80/940] lr: 1.0000e-03 eta: 11:42:44 time: 0.6764 data_time: 0.3520 memory: 13619 grad_norm: 4.1153 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0031 loss: 1.0031 2022/08/01 08:03:28 - mmengine - INFO - Epoch(train) [43][100/940] lr: 1.0000e-03 eta: 11:42:30 time: 0.8389 data_time: 0.3819 memory: 13619 grad_norm: 4.0064 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0461 loss: 1.0461 2022/08/01 08:03:41 - mmengine - INFO - Epoch(train) [43][120/940] lr: 1.0000e-03 eta: 11:42:13 time: 0.6959 data_time: 0.3026 memory: 13619 grad_norm: 3.9597 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0889 loss: 1.0889 2022/08/01 08:03:58 - mmengine - INFO - Epoch(train) [43][140/940] lr: 1.0000e-03 eta: 11:41:59 time: 0.8322 data_time: 0.1914 memory: 13619 grad_norm: 4.0935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9802 loss: 0.9802 2022/08/01 08:04:12 - mmengine - INFO - Epoch(train) [43][160/940] lr: 1.0000e-03 eta: 11:41:41 time: 0.6830 data_time: 0.1550 memory: 13619 grad_norm: 4.0134 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0506 loss: 1.0506 2022/08/01 08:04:29 - mmengine - INFO - Epoch(train) [43][180/940] lr: 1.0000e-03 eta: 11:41:27 time: 0.8570 data_time: 0.1494 memory: 13619 grad_norm: 3.9564 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9785 loss: 0.9785 2022/08/01 08:04:42 - mmengine - INFO - Epoch(train) [43][200/940] lr: 1.0000e-03 eta: 11:41:09 time: 0.6738 data_time: 0.0568 memory: 13619 grad_norm: 4.0850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0515 loss: 1.0515 2022/08/01 08:05:00 - mmengine - INFO - Epoch(train) [43][220/940] lr: 1.0000e-03 eta: 11:40:57 time: 0.8766 data_time: 0.0395 memory: 13619 grad_norm: 3.9013 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0566 loss: 1.0566 2022/08/01 08:05:14 - mmengine - INFO - Epoch(train) [43][240/940] lr: 1.0000e-03 eta: 11:40:39 time: 0.6820 data_time: 0.0900 memory: 13619 grad_norm: 4.0235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0544 loss: 1.0544 2022/08/01 08:05:31 - mmengine - INFO - Epoch(train) [43][260/940] lr: 1.0000e-03 eta: 11:40:25 time: 0.8550 data_time: 0.0402 memory: 13619 grad_norm: 3.9928 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0234 loss: 1.0234 2022/08/01 08:05:44 - mmengine - INFO - Epoch(train) [43][280/940] lr: 1.0000e-03 eta: 11:40:07 time: 0.6720 data_time: 0.0601 memory: 13619 grad_norm: 4.0286 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1186 loss: 1.1186 2022/08/01 08:06:02 - mmengine - INFO - Epoch(train) [43][300/940] lr: 1.0000e-03 eta: 11:39:54 time: 0.8763 data_time: 0.0384 memory: 13619 grad_norm: 4.1164 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1833 loss: 1.1833 2022/08/01 08:06:15 - mmengine - INFO - Epoch(train) [43][320/940] lr: 1.0000e-03 eta: 11:39:36 time: 0.6813 data_time: 0.0376 memory: 13619 grad_norm: 4.0360 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0244 loss: 1.0244 2022/08/01 08:06:32 - mmengine - INFO - Epoch(train) [43][340/940] lr: 1.0000e-03 eta: 11:39:22 time: 0.8283 data_time: 0.0384 memory: 13619 grad_norm: 4.0461 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0114 loss: 1.0114 2022/08/01 08:06:45 - mmengine - INFO - Epoch(train) [43][360/940] lr: 1.0000e-03 eta: 11:39:04 time: 0.6588 data_time: 0.0374 memory: 13619 grad_norm: 4.0911 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1085 loss: 1.1085 2022/08/01 08:07:02 - mmengine - INFO - Epoch(train) [43][380/940] lr: 1.0000e-03 eta: 11:38:50 time: 0.8303 data_time: 0.0403 memory: 13619 grad_norm: 4.0076 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9213 loss: 0.9213 2022/08/01 08:07:16 - mmengine - INFO - Epoch(train) [43][400/940] lr: 1.0000e-03 eta: 11:38:32 time: 0.7076 data_time: 0.0321 memory: 13619 grad_norm: 3.9648 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0080 loss: 1.0080 2022/08/01 08:07:33 - mmengine - INFO - Epoch(train) [43][420/940] lr: 1.0000e-03 eta: 11:38:20 time: 0.8815 data_time: 0.0438 memory: 13619 grad_norm: 4.0197 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9268 loss: 0.9268 2022/08/01 08:07:46 - mmengine - INFO - Epoch(train) [43][440/940] lr: 1.0000e-03 eta: 11:38:01 time: 0.6491 data_time: 0.0326 memory: 13619 grad_norm: 4.0125 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0264 loss: 1.0264 2022/08/01 08:08:05 - mmengine - INFO - Epoch(train) [43][460/940] lr: 1.0000e-03 eta: 11:37:49 time: 0.9112 data_time: 0.0504 memory: 13619 grad_norm: 4.0405 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0170 loss: 1.0170 2022/08/01 08:08:18 - mmengine - INFO - Epoch(train) [43][480/940] lr: 1.0000e-03 eta: 11:37:30 time: 0.6597 data_time: 0.0331 memory: 13619 grad_norm: 3.9635 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/08/01 08:08:36 - mmengine - INFO - Epoch(train) [43][500/940] lr: 1.0000e-03 eta: 11:37:18 time: 0.8849 data_time: 0.0433 memory: 13619 grad_norm: 4.0933 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1292 loss: 1.1292 2022/08/01 08:08:49 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 08:08:49 - mmengine - INFO - Epoch(train) [43][520/940] lr: 1.0000e-03 eta: 11:36:59 time: 0.6642 data_time: 0.0338 memory: 13619 grad_norm: 4.0806 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.9469 loss: 0.9469 2022/08/01 08:09:05 - mmengine - INFO - Epoch(train) [43][540/940] lr: 1.0000e-03 eta: 11:36:45 time: 0.8311 data_time: 0.0445 memory: 13619 grad_norm: 4.0257 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1404 loss: 1.1404 2022/08/01 08:09:19 - mmengine - INFO - Epoch(train) [43][560/940] lr: 1.0000e-03 eta: 11:36:27 time: 0.6613 data_time: 0.0330 memory: 13619 grad_norm: 3.9383 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9462 loss: 0.9462 2022/08/01 08:09:36 - mmengine - INFO - Epoch(train) [43][580/940] lr: 1.0000e-03 eta: 11:36:14 time: 0.8825 data_time: 0.0397 memory: 13619 grad_norm: 4.1263 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1666 loss: 1.1666 2022/08/01 08:09:49 - mmengine - INFO - Epoch(train) [43][600/940] lr: 1.0000e-03 eta: 11:35:55 time: 0.6447 data_time: 0.0405 memory: 13619 grad_norm: 3.9779 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0406 loss: 1.0406 2022/08/01 08:10:07 - mmengine - INFO - Epoch(train) [43][620/940] lr: 1.0000e-03 eta: 11:35:43 time: 0.8907 data_time: 0.0834 memory: 13619 grad_norm: 4.0709 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9975 loss: 0.9975 2022/08/01 08:10:20 - mmengine - INFO - Epoch(train) [43][640/940] lr: 1.0000e-03 eta: 11:35:24 time: 0.6593 data_time: 0.0432 memory: 13619 grad_norm: 4.0619 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0284 loss: 1.0284 2022/08/01 08:10:38 - mmengine - INFO - Epoch(train) [43][660/940] lr: 1.0000e-03 eta: 11:35:11 time: 0.8653 data_time: 0.1556 memory: 13619 grad_norm: 4.0022 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8973 loss: 0.8973 2022/08/01 08:10:50 - mmengine - INFO - Epoch(train) [43][680/940] lr: 1.0000e-03 eta: 11:34:52 time: 0.6429 data_time: 0.2557 memory: 13619 grad_norm: 4.0197 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0678 loss: 1.0678 2022/08/01 08:11:07 - mmengine - INFO - Epoch(train) [43][700/940] lr: 1.0000e-03 eta: 11:34:39 time: 0.8378 data_time: 0.4840 memory: 13619 grad_norm: 4.0028 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0071 loss: 1.0071 2022/08/01 08:11:21 - mmengine - INFO - Epoch(train) [43][720/940] lr: 1.0000e-03 eta: 11:34:20 time: 0.6670 data_time: 0.2300 memory: 13619 grad_norm: 4.0746 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1363 loss: 1.1363 2022/08/01 08:11:38 - mmengine - INFO - Epoch(train) [43][740/940] lr: 1.0000e-03 eta: 11:34:07 time: 0.8782 data_time: 0.2833 memory: 13619 grad_norm: 4.0064 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0201 loss: 1.0201 2022/08/01 08:11:52 - mmengine - INFO - Epoch(train) [43][760/940] lr: 1.0000e-03 eta: 11:33:50 time: 0.6918 data_time: 0.1979 memory: 13619 grad_norm: 4.1550 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1845 loss: 1.1845 2022/08/01 08:12:09 - mmengine - INFO - Epoch(train) [43][780/940] lr: 1.0000e-03 eta: 11:33:37 time: 0.8676 data_time: 0.2250 memory: 13619 grad_norm: 4.0155 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0936 loss: 1.0936 2022/08/01 08:12:23 - mmengine - INFO - Epoch(train) [43][800/940] lr: 1.0000e-03 eta: 11:33:18 time: 0.6618 data_time: 0.2582 memory: 13619 grad_norm: 3.9494 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1643 loss: 1.1643 2022/08/01 08:12:40 - mmengine - INFO - Epoch(train) [43][820/940] lr: 1.0000e-03 eta: 11:33:06 time: 0.8803 data_time: 0.5379 memory: 13619 grad_norm: 4.1380 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0405 loss: 1.0405 2022/08/01 08:12:54 - mmengine - INFO - Epoch(train) [43][840/940] lr: 1.0000e-03 eta: 11:32:47 time: 0.6718 data_time: 0.3553 memory: 13619 grad_norm: 4.1071 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9616 loss: 0.9616 2022/08/01 08:13:11 - mmengine - INFO - Epoch(train) [43][860/940] lr: 1.0000e-03 eta: 11:32:35 time: 0.8827 data_time: 0.5023 memory: 13619 grad_norm: 4.0687 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9517 loss: 0.9517 2022/08/01 08:13:25 - mmengine - INFO - Epoch(train) [43][880/940] lr: 1.0000e-03 eta: 11:32:17 time: 0.6724 data_time: 0.3332 memory: 13619 grad_norm: 4.0839 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0230 loss: 1.0230 2022/08/01 08:13:43 - mmengine - INFO - Epoch(train) [43][900/940] lr: 1.0000e-03 eta: 11:32:04 time: 0.8894 data_time: 0.5768 memory: 13619 grad_norm: 4.0000 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1535 loss: 1.1535 2022/08/01 08:13:55 - mmengine - INFO - Epoch(train) [43][920/940] lr: 1.0000e-03 eta: 11:31:45 time: 0.6368 data_time: 0.3245 memory: 13619 grad_norm: 4.0647 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0426 loss: 1.0426 2022/08/01 08:14:09 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 08:14:09 - mmengine - INFO - Epoch(train) [43][940/940] lr: 1.0000e-03 eta: 11:31:27 time: 0.6859 data_time: 0.3599 memory: 13619 grad_norm: 4.1615 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.0290 loss: 1.0290 2022/08/01 08:14:26 - mmengine - INFO - Epoch(val) [43][20/78] eta: 0:00:50 time: 0.8715 data_time: 0.7728 memory: 2186 2022/08/01 08:14:38 - mmengine - INFO - Epoch(val) [43][40/78] eta: 0:00:22 time: 0.5933 data_time: 0.4985 memory: 2186 2022/08/01 08:14:55 - mmengine - INFO - Epoch(val) [43][60/78] eta: 0:00:14 time: 0.8086 data_time: 0.7127 memory: 2186 2022/08/01 08:15:09 - mmengine - INFO - Epoch(val) [43][78/78] acc/top1: 0.7005 acc/top5: 0.8914 acc/mean1: 0.7004 2022/08/01 08:15:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_43.pth is removed 2022/08/01 08:15:10 - mmengine - INFO - The best checkpoint with 0.7005 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2022/08/01 08:15:28 - mmengine - INFO - Epoch(train) [44][20/940] lr: 1.0000e-03 eta: 11:31:15 time: 0.8903 data_time: 0.6105 memory: 13619 grad_norm: 3.9142 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9992 loss: 0.9992 2022/08/01 08:15:42 - mmengine - INFO - Epoch(train) [44][40/940] lr: 1.0000e-03 eta: 11:30:57 time: 0.6830 data_time: 0.3489 memory: 13619 grad_norm: 4.0561 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9904 loss: 0.9904 2022/08/01 08:15:59 - mmengine - INFO - Epoch(train) [44][60/940] lr: 1.0000e-03 eta: 11:30:44 time: 0.8716 data_time: 0.4461 memory: 13619 grad_norm: 4.0272 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0479 loss: 1.0479 2022/08/01 08:16:14 - mmengine - INFO - Epoch(train) [44][80/940] lr: 1.0000e-03 eta: 11:30:27 time: 0.7345 data_time: 0.2711 memory: 13619 grad_norm: 4.0118 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1447 loss: 1.1447 2022/08/01 08:16:31 - mmengine - INFO - Epoch(train) [44][100/940] lr: 1.0000e-03 eta: 11:30:14 time: 0.8687 data_time: 0.1235 memory: 13619 grad_norm: 3.9407 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9469 loss: 0.9469 2022/08/01 08:16:44 - mmengine - INFO - Epoch(train) [44][120/940] lr: 1.0000e-03 eta: 11:29:56 time: 0.6497 data_time: 0.0692 memory: 13619 grad_norm: 4.1189 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0201 loss: 1.0201 2022/08/01 08:17:02 - mmengine - INFO - Epoch(train) [44][140/940] lr: 1.0000e-03 eta: 11:29:43 time: 0.8809 data_time: 0.0992 memory: 13619 grad_norm: 4.0047 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0841 loss: 1.0841 2022/08/01 08:17:16 - mmengine - INFO - Epoch(train) [44][160/940] lr: 1.0000e-03 eta: 11:29:26 time: 0.7154 data_time: 0.0313 memory: 13619 grad_norm: 3.9859 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9615 loss: 0.9615 2022/08/01 08:17:34 - mmengine - INFO - Epoch(train) [44][180/940] lr: 1.0000e-03 eta: 11:29:13 time: 0.8684 data_time: 0.0593 memory: 13619 grad_norm: 4.0195 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0493 loss: 1.0493 2022/08/01 08:17:47 - mmengine - INFO - Epoch(train) [44][200/940] lr: 1.0000e-03 eta: 11:28:55 time: 0.6945 data_time: 0.0288 memory: 13619 grad_norm: 4.0144 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0170 loss: 1.0170 2022/08/01 08:18:03 - mmengine - INFO - Epoch(train) [44][220/940] lr: 1.0000e-03 eta: 11:28:41 time: 0.8022 data_time: 0.0370 memory: 13619 grad_norm: 4.0403 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0388 loss: 1.0388 2022/08/01 08:18:17 - mmengine - INFO - Epoch(train) [44][240/940] lr: 1.0000e-03 eta: 11:28:23 time: 0.6938 data_time: 0.0384 memory: 13619 grad_norm: 4.0608 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.0677 loss: 1.0677 2022/08/01 08:18:34 - mmengine - INFO - Epoch(train) [44][260/940] lr: 1.0000e-03 eta: 11:28:09 time: 0.8272 data_time: 0.0429 memory: 13619 grad_norm: 3.9530 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9097 loss: 0.9097 2022/08/01 08:18:48 - mmengine - INFO - Epoch(train) [44][280/940] lr: 1.0000e-03 eta: 11:27:52 time: 0.7223 data_time: 0.0405 memory: 13619 grad_norm: 4.0183 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9561 loss: 0.9561 2022/08/01 08:19:05 - mmengine - INFO - Epoch(train) [44][300/940] lr: 1.0000e-03 eta: 11:27:38 time: 0.8431 data_time: 0.0394 memory: 13619 grad_norm: 4.0127 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0004 loss: 1.0004 2022/08/01 08:19:17 - mmengine - INFO - Epoch(train) [44][320/940] lr: 1.0000e-03 eta: 11:27:18 time: 0.5889 data_time: 0.0426 memory: 13619 grad_norm: 4.1220 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.1118 loss: 1.1118 2022/08/01 08:19:35 - mmengine - INFO - Epoch(train) [44][340/940] lr: 1.0000e-03 eta: 11:27:05 time: 0.8807 data_time: 0.0373 memory: 13619 grad_norm: 4.0473 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0969 loss: 1.0969 2022/08/01 08:19:48 - mmengine - INFO - Epoch(train) [44][360/940] lr: 1.0000e-03 eta: 11:26:48 time: 0.6881 data_time: 0.0391 memory: 13619 grad_norm: 4.0183 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0661 loss: 1.0661 2022/08/01 08:20:06 - mmengine - INFO - Epoch(train) [44][380/940] lr: 1.0000e-03 eta: 11:26:35 time: 0.8995 data_time: 0.0458 memory: 13619 grad_norm: 3.9365 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9531 loss: 0.9531 2022/08/01 08:20:20 - mmengine - INFO - Epoch(train) [44][400/940] lr: 1.0000e-03 eta: 11:26:17 time: 0.6693 data_time: 0.0321 memory: 13619 grad_norm: 4.0822 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9947 loss: 0.9947 2022/08/01 08:20:37 - mmengine - INFO - Epoch(train) [44][420/940] lr: 1.0000e-03 eta: 11:26:04 time: 0.8642 data_time: 0.0424 memory: 13619 grad_norm: 3.9290 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9593 loss: 0.9593 2022/08/01 08:20:51 - mmengine - INFO - Epoch(train) [44][440/940] lr: 1.0000e-03 eta: 11:25:46 time: 0.6856 data_time: 0.0363 memory: 13619 grad_norm: 4.0464 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0438 loss: 1.0438 2022/08/01 08:21:07 - mmengine - INFO - Epoch(train) [44][460/940] lr: 1.0000e-03 eta: 11:25:32 time: 0.8284 data_time: 0.0447 memory: 13619 grad_norm: 3.9370 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8871 loss: 0.8871 2022/08/01 08:21:23 - mmengine - INFO - Epoch(train) [44][480/940] lr: 1.0000e-03 eta: 11:25:17 time: 0.7792 data_time: 0.0392 memory: 13619 grad_norm: 4.0243 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0597 loss: 1.0597 2022/08/01 08:21:38 - mmengine - INFO - Epoch(train) [44][500/940] lr: 1.0000e-03 eta: 11:25:01 time: 0.7488 data_time: 0.0381 memory: 13619 grad_norm: 3.9674 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0960 loss: 1.0960 2022/08/01 08:21:52 - mmengine - INFO - Epoch(train) [44][520/940] lr: 1.0000e-03 eta: 11:24:44 time: 0.7199 data_time: 0.0412 memory: 13619 grad_norm: 4.0697 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0020 loss: 1.0020 2022/08/01 08:22:09 - mmengine - INFO - Epoch(train) [44][540/940] lr: 1.0000e-03 eta: 11:24:30 time: 0.8340 data_time: 0.0439 memory: 13619 grad_norm: 4.0986 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0624 loss: 1.0624 2022/08/01 08:22:23 - mmengine - INFO - Epoch(train) [44][560/940] lr: 1.0000e-03 eta: 11:24:13 time: 0.7168 data_time: 0.0428 memory: 13619 grad_norm: 4.0951 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0795 loss: 1.0795 2022/08/01 08:22:39 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 08:22:39 - mmengine - INFO - Epoch(train) [44][580/940] lr: 1.0000e-03 eta: 11:23:58 time: 0.7899 data_time: 0.0527 memory: 13619 grad_norm: 4.1644 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0752 loss: 1.0752 2022/08/01 08:22:53 - mmengine - INFO - Epoch(train) [44][600/940] lr: 1.0000e-03 eta: 11:23:40 time: 0.7036 data_time: 0.0365 memory: 13619 grad_norm: 4.0380 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0290 loss: 1.0290 2022/08/01 08:23:10 - mmengine - INFO - Epoch(train) [44][620/940] lr: 1.0000e-03 eta: 11:23:27 time: 0.8425 data_time: 0.0383 memory: 13619 grad_norm: 4.0835 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0576 loss: 1.0576 2022/08/01 08:23:25 - mmengine - INFO - Epoch(train) [44][640/940] lr: 1.0000e-03 eta: 11:23:11 time: 0.7508 data_time: 0.0423 memory: 13619 grad_norm: 4.0422 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/08/01 08:23:40 - mmengine - INFO - Epoch(train) [44][660/940] lr: 1.0000e-03 eta: 11:22:54 time: 0.7308 data_time: 0.0399 memory: 13619 grad_norm: 4.1237 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0711 loss: 1.0711 2022/08/01 08:23:55 - mmengine - INFO - Epoch(train) [44][680/940] lr: 1.0000e-03 eta: 11:22:38 time: 0.7593 data_time: 0.0419 memory: 13619 grad_norm: 3.9957 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0604 loss: 1.0604 2022/08/01 08:24:11 - mmengine - INFO - Epoch(train) [44][700/940] lr: 1.0000e-03 eta: 11:22:23 time: 0.8025 data_time: 0.0350 memory: 13619 grad_norm: 4.0740 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0493 loss: 1.0493 2022/08/01 08:24:25 - mmengine - INFO - Epoch(train) [44][720/940] lr: 1.0000e-03 eta: 11:22:06 time: 0.7080 data_time: 0.0363 memory: 13619 grad_norm: 3.9648 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0968 loss: 1.0968 2022/08/01 08:24:42 - mmengine - INFO - Epoch(train) [44][740/940] lr: 1.0000e-03 eta: 11:21:52 time: 0.8210 data_time: 0.0360 memory: 13619 grad_norm: 4.1627 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 1.0186 loss: 1.0186 2022/08/01 08:24:55 - mmengine - INFO - Epoch(train) [44][760/940] lr: 1.0000e-03 eta: 11:21:33 time: 0.6507 data_time: 0.0404 memory: 13619 grad_norm: 4.0124 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0217 loss: 1.0217 2022/08/01 08:25:11 - mmengine - INFO - Epoch(train) [44][780/940] lr: 1.0000e-03 eta: 11:21:19 time: 0.8187 data_time: 0.0355 memory: 13619 grad_norm: 4.1213 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0119 loss: 1.0119 2022/08/01 08:25:25 - mmengine - INFO - Epoch(train) [44][800/940] lr: 1.0000e-03 eta: 11:21:02 time: 0.7024 data_time: 0.0381 memory: 13619 grad_norm: 4.1553 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1225 loss: 1.1225 2022/08/01 08:25:42 - mmengine - INFO - Epoch(train) [44][820/940] lr: 1.0000e-03 eta: 11:20:47 time: 0.8306 data_time: 0.0340 memory: 13619 grad_norm: 4.0819 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/08/01 08:25:57 - mmengine - INFO - Epoch(train) [44][840/940] lr: 1.0000e-03 eta: 11:20:31 time: 0.7456 data_time: 0.0439 memory: 13619 grad_norm: 4.1157 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0144 loss: 1.0144 2022/08/01 08:26:12 - mmengine - INFO - Epoch(train) [44][860/940] lr: 1.0000e-03 eta: 11:20:15 time: 0.7503 data_time: 0.0317 memory: 13619 grad_norm: 4.0518 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9806 loss: 0.9806 2022/08/01 08:26:28 - mmengine - INFO - Epoch(train) [44][880/940] lr: 1.0000e-03 eta: 11:20:01 time: 0.8316 data_time: 0.0526 memory: 13619 grad_norm: 4.1036 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9454 loss: 0.9454 2022/08/01 08:26:42 - mmengine - INFO - Epoch(train) [44][900/940] lr: 1.0000e-03 eta: 11:19:44 time: 0.6910 data_time: 0.0355 memory: 13619 grad_norm: 4.0212 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9221 loss: 0.9221 2022/08/01 08:26:58 - mmengine - INFO - Epoch(train) [44][920/940] lr: 1.0000e-03 eta: 11:19:28 time: 0.7894 data_time: 0.0561 memory: 13619 grad_norm: 4.1716 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.1562 loss: 1.1562 2022/08/01 08:27:11 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 08:27:11 - mmengine - INFO - Epoch(train) [44][940/940] lr: 1.0000e-03 eta: 11:19:10 time: 0.6651 data_time: 0.0394 memory: 13619 grad_norm: 4.4385 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.0919 loss: 1.0919 2022/08/01 08:27:29 - mmengine - INFO - Epoch(val) [44][20/78] eta: 0:00:51 time: 0.8852 data_time: 0.7894 memory: 2186 2022/08/01 08:27:41 - mmengine - INFO - Epoch(val) [44][40/78] eta: 0:00:22 time: 0.6000 data_time: 0.5053 memory: 2186 2022/08/01 08:27:57 - mmengine - INFO - Epoch(val) [44][60/78] eta: 0:00:14 time: 0.8123 data_time: 0.7140 memory: 2186 2022/08/01 08:28:10 - mmengine - INFO - Epoch(val) [44][78/78] acc/top1: 0.7025 acc/top5: 0.8931 acc/mean1: 0.7024 2022/08/01 08:28:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_44.pth is removed 2022/08/01 08:28:12 - mmengine - INFO - The best checkpoint with 0.7025 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/08/01 08:28:31 - mmengine - INFO - Epoch(train) [45][20/940] lr: 1.0000e-03 eta: 11:18:59 time: 0.9612 data_time: 0.6609 memory: 13619 grad_norm: 4.0264 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0236 loss: 1.0236 2022/08/01 08:28:45 - mmengine - INFO - Epoch(train) [45][40/940] lr: 1.0000e-03 eta: 11:18:42 time: 0.6849 data_time: 0.3203 memory: 13619 grad_norm: 4.0511 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9923 loss: 0.9923 2022/08/01 08:29:02 - mmengine - INFO - Epoch(train) [45][60/940] lr: 1.0000e-03 eta: 11:18:28 time: 0.8540 data_time: 0.3461 memory: 13619 grad_norm: 4.0493 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0419 loss: 1.0419 2022/08/01 08:29:15 - mmengine - INFO - Epoch(train) [45][80/940] lr: 1.0000e-03 eta: 11:18:10 time: 0.6533 data_time: 0.2000 memory: 13619 grad_norm: 4.0401 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9094 loss: 0.9094 2022/08/01 08:29:32 - mmengine - INFO - Epoch(train) [45][100/940] lr: 1.0000e-03 eta: 11:17:56 time: 0.8580 data_time: 0.3936 memory: 13619 grad_norm: 4.0540 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0860 loss: 1.0860 2022/08/01 08:29:46 - mmengine - INFO - Epoch(train) [45][120/940] lr: 1.0000e-03 eta: 11:17:39 time: 0.6926 data_time: 0.2577 memory: 13619 grad_norm: 4.0721 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0955 loss: 1.0955 2022/08/01 08:30:03 - mmengine - INFO - Epoch(train) [45][140/940] lr: 1.0000e-03 eta: 11:17:26 time: 0.8687 data_time: 0.1694 memory: 13619 grad_norm: 4.1456 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0314 loss: 1.0314 2022/08/01 08:30:18 - mmengine - INFO - Epoch(train) [45][160/940] lr: 1.0000e-03 eta: 11:17:08 time: 0.7049 data_time: 0.0360 memory: 13619 grad_norm: 4.0412 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9566 loss: 0.9566 2022/08/01 08:30:34 - mmengine - INFO - Epoch(train) [45][180/940] lr: 1.0000e-03 eta: 11:16:55 time: 0.8437 data_time: 0.0415 memory: 13619 grad_norm: 4.1013 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9247 loss: 0.9247 2022/08/01 08:30:47 - mmengine - INFO - Epoch(train) [45][200/940] lr: 1.0000e-03 eta: 11:16:36 time: 0.6414 data_time: 0.0767 memory: 13619 grad_norm: 4.0082 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2029 loss: 1.2029 2022/08/01 08:31:04 - mmengine - INFO - Epoch(train) [45][220/940] lr: 1.0000e-03 eta: 11:16:22 time: 0.8403 data_time: 0.1239 memory: 13619 grad_norm: 4.1031 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1175 loss: 1.1175 2022/08/01 08:31:18 - mmengine - INFO - Epoch(train) [45][240/940] lr: 1.0000e-03 eta: 11:16:04 time: 0.6786 data_time: 0.1553 memory: 13619 grad_norm: 4.0206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0327 loss: 1.0327 2022/08/01 08:31:35 - mmengine - INFO - Epoch(train) [45][260/940] lr: 1.0000e-03 eta: 11:15:51 time: 0.8546 data_time: 0.0865 memory: 13619 grad_norm: 4.1159 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0353 loss: 1.0353 2022/08/01 08:31:48 - mmengine - INFO - Epoch(train) [45][280/940] lr: 1.0000e-03 eta: 11:15:33 time: 0.6718 data_time: 0.0921 memory: 13619 grad_norm: 4.0733 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9896 loss: 0.9896 2022/08/01 08:32:06 - mmengine - INFO - Epoch(train) [45][300/940] lr: 1.0000e-03 eta: 11:15:20 time: 0.8687 data_time: 0.1495 memory: 13619 grad_norm: 3.9901 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9547 loss: 0.9547 2022/08/01 08:32:20 - mmengine - INFO - Epoch(train) [45][320/940] lr: 1.0000e-03 eta: 11:15:02 time: 0.7018 data_time: 0.0659 memory: 13619 grad_norm: 4.1355 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9594 loss: 0.9594 2022/08/01 08:32:37 - mmengine - INFO - Epoch(train) [45][340/940] lr: 1.0000e-03 eta: 11:14:50 time: 0.8857 data_time: 0.0365 memory: 13619 grad_norm: 4.1367 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0048 loss: 1.0048 2022/08/01 08:32:50 - mmengine - INFO - Epoch(train) [45][360/940] lr: 1.0000e-03 eta: 11:14:31 time: 0.6483 data_time: 0.0513 memory: 13619 grad_norm: 4.0413 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9799 loss: 0.9799 2022/08/01 08:33:07 - mmengine - INFO - Epoch(train) [45][380/940] lr: 1.0000e-03 eta: 11:14:17 time: 0.8511 data_time: 0.0409 memory: 13619 grad_norm: 4.1564 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9313 loss: 0.9313 2022/08/01 08:33:21 - mmengine - INFO - Epoch(train) [45][400/940] lr: 1.0000e-03 eta: 11:14:00 time: 0.7041 data_time: 0.0429 memory: 13619 grad_norm: 3.9757 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1195 loss: 1.1195 2022/08/01 08:33:38 - mmengine - INFO - Epoch(train) [45][420/940] lr: 1.0000e-03 eta: 11:13:46 time: 0.8261 data_time: 0.0454 memory: 13619 grad_norm: 4.2201 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0728 loss: 1.0728 2022/08/01 08:33:52 - mmengine - INFO - Epoch(train) [45][440/940] lr: 1.0000e-03 eta: 11:13:28 time: 0.6870 data_time: 0.0380 memory: 13619 grad_norm: 4.1331 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0175 loss: 1.0175 2022/08/01 08:34:09 - mmengine - INFO - Epoch(train) [45][460/940] lr: 1.0000e-03 eta: 11:13:15 time: 0.8418 data_time: 0.0392 memory: 13619 grad_norm: 4.0332 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9998 loss: 0.9998 2022/08/01 08:34:22 - mmengine - INFO - Epoch(train) [45][480/940] lr: 1.0000e-03 eta: 11:12:57 time: 0.6763 data_time: 0.0332 memory: 13619 grad_norm: 4.0661 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9623 loss: 0.9623 2022/08/01 08:34:40 - mmengine - INFO - Epoch(train) [45][500/940] lr: 1.0000e-03 eta: 11:12:44 time: 0.8761 data_time: 0.0358 memory: 13619 grad_norm: 4.0276 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0523 loss: 1.0523 2022/08/01 08:34:53 - mmengine - INFO - Epoch(train) [45][520/940] lr: 1.0000e-03 eta: 11:12:25 time: 0.6547 data_time: 0.0365 memory: 13619 grad_norm: 4.0525 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0015 loss: 1.0015 2022/08/01 08:35:08 - mmengine - INFO - Epoch(train) [45][540/940] lr: 1.0000e-03 eta: 11:12:10 time: 0.7799 data_time: 0.0371 memory: 13619 grad_norm: 4.0861 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 0.9766 loss: 0.9766 2022/08/01 08:35:22 - mmengine - INFO - Epoch(train) [45][560/940] lr: 1.0000e-03 eta: 11:11:52 time: 0.6762 data_time: 0.0398 memory: 13619 grad_norm: 3.9985 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 0.9721 loss: 0.9721 2022/08/01 08:35:39 - mmengine - INFO - Epoch(train) [45][580/940] lr: 1.0000e-03 eta: 11:11:39 time: 0.8695 data_time: 0.0393 memory: 13619 grad_norm: 4.0348 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0200 loss: 1.0200 2022/08/01 08:35:53 - mmengine - INFO - Epoch(train) [45][600/940] lr: 1.0000e-03 eta: 11:11:21 time: 0.6797 data_time: 0.0451 memory: 13619 grad_norm: 4.0920 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0507 loss: 1.0507 2022/08/01 08:36:10 - mmengine - INFO - Epoch(train) [45][620/940] lr: 1.0000e-03 eta: 11:11:08 time: 0.8591 data_time: 0.0384 memory: 13619 grad_norm: 4.0414 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0364 loss: 1.0364 2022/08/01 08:36:23 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 08:36:23 - mmengine - INFO - Epoch(train) [45][640/940] lr: 1.0000e-03 eta: 11:10:50 time: 0.6690 data_time: 0.0366 memory: 13619 grad_norm: 4.0810 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0684 loss: 1.0684 2022/08/01 08:36:40 - mmengine - INFO - Epoch(train) [45][660/940] lr: 1.0000e-03 eta: 11:10:36 time: 0.8378 data_time: 0.0404 memory: 13619 grad_norm: 4.0496 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0960 loss: 1.0960 2022/08/01 08:36:54 - mmengine - INFO - Epoch(train) [45][680/940] lr: 1.0000e-03 eta: 11:10:18 time: 0.6708 data_time: 0.0376 memory: 13619 grad_norm: 4.0736 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0364 loss: 1.0364 2022/08/01 08:37:11 - mmengine - INFO - Epoch(train) [45][700/940] lr: 1.0000e-03 eta: 11:10:05 time: 0.8830 data_time: 0.0441 memory: 13619 grad_norm: 4.1012 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0643 loss: 1.0643 2022/08/01 08:37:24 - mmengine - INFO - Epoch(train) [45][720/940] lr: 1.0000e-03 eta: 11:09:46 time: 0.6462 data_time: 0.0411 memory: 13619 grad_norm: 4.0421 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9801 loss: 0.9801 2022/08/01 08:37:41 - mmengine - INFO - Epoch(train) [45][740/940] lr: 1.0000e-03 eta: 11:09:32 time: 0.8401 data_time: 0.0417 memory: 13619 grad_norm: 4.3337 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0555 loss: 1.0555 2022/08/01 08:37:54 - mmengine - INFO - Epoch(train) [45][760/940] lr: 1.0000e-03 eta: 11:09:14 time: 0.6621 data_time: 0.0423 memory: 13619 grad_norm: 4.0898 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/08/01 08:38:11 - mmengine - INFO - Epoch(train) [45][780/940] lr: 1.0000e-03 eta: 11:09:00 time: 0.8306 data_time: 0.0517 memory: 13619 grad_norm: 4.0945 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9937 loss: 0.9937 2022/08/01 08:38:24 - mmengine - INFO - Epoch(train) [45][800/940] lr: 1.0000e-03 eta: 11:08:42 time: 0.6673 data_time: 0.0451 memory: 13619 grad_norm: 4.0354 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9651 loss: 0.9651 2022/08/01 08:38:42 - mmengine - INFO - Epoch(train) [45][820/940] lr: 1.0000e-03 eta: 11:08:29 time: 0.8870 data_time: 0.1194 memory: 13619 grad_norm: 3.9654 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9078 loss: 0.9078 2022/08/01 08:38:57 - mmengine - INFO - Epoch(train) [45][840/940] lr: 1.0000e-03 eta: 11:08:13 time: 0.7449 data_time: 0.0300 memory: 13619 grad_norm: 4.0481 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9059 loss: 0.9059 2022/08/01 08:39:14 - mmengine - INFO - Epoch(train) [45][860/940] lr: 1.0000e-03 eta: 11:07:59 time: 0.8363 data_time: 0.0479 memory: 13619 grad_norm: 4.0404 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9870 loss: 0.9870 2022/08/01 08:39:27 - mmengine - INFO - Epoch(train) [45][880/940] lr: 1.0000e-03 eta: 11:07:41 time: 0.6738 data_time: 0.0323 memory: 13619 grad_norm: 4.1183 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0447 loss: 1.0447 2022/08/01 08:39:44 - mmengine - INFO - Epoch(train) [45][900/940] lr: 1.0000e-03 eta: 11:07:28 time: 0.8730 data_time: 0.0355 memory: 13619 grad_norm: 4.1261 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0303 loss: 1.0303 2022/08/01 08:39:58 - mmengine - INFO - Epoch(train) [45][920/940] lr: 1.0000e-03 eta: 11:07:10 time: 0.6767 data_time: 0.0332 memory: 13619 grad_norm: 4.2126 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1048 loss: 1.1048 2022/08/01 08:40:13 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 08:40:13 - mmengine - INFO - Epoch(train) [45][940/940] lr: 1.0000e-03 eta: 11:06:54 time: 0.7338 data_time: 0.0274 memory: 13619 grad_norm: 4.2514 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9574 loss: 0.9574 2022/08/01 08:40:13 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/01 08:40:33 - mmengine - INFO - Epoch(val) [45][20/78] eta: 0:00:50 time: 0.8652 data_time: 0.7748 memory: 2186 2022/08/01 08:40:45 - mmengine - INFO - Epoch(val) [45][40/78] eta: 0:00:23 time: 0.6093 data_time: 0.5136 memory: 2186 2022/08/01 08:41:02 - mmengine - INFO - Epoch(val) [45][60/78] eta: 0:00:14 time: 0.8177 data_time: 0.7173 memory: 2186 2022/08/01 08:41:14 - mmengine - INFO - Epoch(val) [45][78/78] acc/top1: 0.7023 acc/top5: 0.8928 acc/mean1: 0.7022 2022/08/01 08:41:33 - mmengine - INFO - Epoch(train) [46][20/940] lr: 1.0000e-03 eta: 11:06:43 time: 0.9834 data_time: 0.5438 memory: 13619 grad_norm: 4.0355 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9148 loss: 0.9148 2022/08/01 08:41:47 - mmengine - INFO - Epoch(train) [46][40/940] lr: 1.0000e-03 eta: 11:06:26 time: 0.6793 data_time: 0.1479 memory: 13619 grad_norm: 4.0095 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0431 loss: 1.0431 2022/08/01 08:42:04 - mmengine - INFO - Epoch(train) [46][60/940] lr: 1.0000e-03 eta: 11:06:12 time: 0.8431 data_time: 0.1462 memory: 13619 grad_norm: 4.0965 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.9673 loss: 0.9673 2022/08/01 08:42:19 - mmengine - INFO - Epoch(train) [46][80/940] lr: 1.0000e-03 eta: 11:05:55 time: 0.7293 data_time: 0.0913 memory: 13619 grad_norm: 3.9797 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9826 loss: 0.9826 2022/08/01 08:42:35 - mmengine - INFO - Epoch(train) [46][100/940] lr: 1.0000e-03 eta: 11:05:41 time: 0.8344 data_time: 0.0405 memory: 13619 grad_norm: 4.0850 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0423 loss: 1.0423 2022/08/01 08:42:51 - mmengine - INFO - Epoch(train) [46][120/940] lr: 1.0000e-03 eta: 11:05:26 time: 0.7803 data_time: 0.0359 memory: 13619 grad_norm: 4.1702 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0861 loss: 1.0861 2022/08/01 08:43:06 - mmengine - INFO - Epoch(train) [46][140/940] lr: 1.0000e-03 eta: 11:05:10 time: 0.7700 data_time: 0.0376 memory: 13619 grad_norm: 4.0837 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1351 loss: 1.1351 2022/08/01 08:43:19 - mmengine - INFO - Epoch(train) [46][160/940] lr: 1.0000e-03 eta: 11:04:51 time: 0.6271 data_time: 0.0351 memory: 13619 grad_norm: 4.0742 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9923 loss: 0.9923 2022/08/01 08:43:36 - mmengine - INFO - Epoch(train) [46][180/940] lr: 1.0000e-03 eta: 11:04:38 time: 0.8801 data_time: 0.0366 memory: 13619 grad_norm: 4.0678 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0156 loss: 1.0156 2022/08/01 08:43:50 - mmengine - INFO - Epoch(train) [46][200/940] lr: 1.0000e-03 eta: 11:04:20 time: 0.6566 data_time: 0.0378 memory: 13619 grad_norm: 4.1155 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1137 loss: 1.1137 2022/08/01 08:44:07 - mmengine - INFO - Epoch(train) [46][220/940] lr: 1.0000e-03 eta: 11:04:07 time: 0.8884 data_time: 0.0341 memory: 13619 grad_norm: 4.1738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0186 loss: 1.0186 2022/08/01 08:44:20 - mmengine - INFO - Epoch(train) [46][240/940] lr: 1.0000e-03 eta: 11:03:49 time: 0.6479 data_time: 0.0387 memory: 13619 grad_norm: 4.0844 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9343 loss: 0.9343 2022/08/01 08:44:38 - mmengine - INFO - Epoch(train) [46][260/940] lr: 1.0000e-03 eta: 11:03:35 time: 0.8649 data_time: 0.0524 memory: 13619 grad_norm: 4.1489 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1012 loss: 1.1012 2022/08/01 08:44:51 - mmengine - INFO - Epoch(train) [46][280/940] lr: 1.0000e-03 eta: 11:03:18 time: 0.6957 data_time: 0.0526 memory: 13619 grad_norm: 4.0822 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0729 loss: 1.0729 2022/08/01 08:45:09 - mmengine - INFO - Epoch(train) [46][300/940] lr: 1.0000e-03 eta: 11:03:06 time: 0.8945 data_time: 0.0345 memory: 13619 grad_norm: 4.0295 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0109 loss: 1.0109 2022/08/01 08:45:23 - mmengine - INFO - Epoch(train) [46][320/940] lr: 1.0000e-03 eta: 11:02:48 time: 0.6753 data_time: 0.0379 memory: 13619 grad_norm: 4.0897 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1242 loss: 1.1242 2022/08/01 08:45:40 - mmengine - INFO - Epoch(train) [46][340/940] lr: 1.0000e-03 eta: 11:02:35 time: 0.8735 data_time: 0.0340 memory: 13619 grad_norm: 4.1546 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9003 loss: 0.9003 2022/08/01 08:45:55 - mmengine - INFO - Epoch(train) [46][360/940] lr: 1.0000e-03 eta: 11:02:18 time: 0.7131 data_time: 0.0422 memory: 13619 grad_norm: 4.0174 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0665 loss: 1.0665 2022/08/01 08:46:11 - mmengine - INFO - Epoch(train) [46][380/940] lr: 1.0000e-03 eta: 11:02:03 time: 0.8271 data_time: 0.0341 memory: 13619 grad_norm: 4.1074 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0666 loss: 1.0666 2022/08/01 08:46:25 - mmengine - INFO - Epoch(train) [46][400/940] lr: 1.0000e-03 eta: 11:01:46 time: 0.7076 data_time: 0.0349 memory: 13619 grad_norm: 4.0421 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9214 loss: 0.9214 2022/08/01 08:46:43 - mmengine - INFO - Epoch(train) [46][420/940] lr: 1.0000e-03 eta: 11:01:33 time: 0.8793 data_time: 0.0352 memory: 13619 grad_norm: 4.0694 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0192 loss: 1.0192 2022/08/01 08:46:56 - mmengine - INFO - Epoch(train) [46][440/940] lr: 1.0000e-03 eta: 11:01:15 time: 0.6427 data_time: 0.0466 memory: 13619 grad_norm: 4.0600 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0306 loss: 1.0306 2022/08/01 08:47:13 - mmengine - INFO - Epoch(train) [46][460/940] lr: 1.0000e-03 eta: 11:01:01 time: 0.8393 data_time: 0.2236 memory: 13619 grad_norm: 4.0789 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0550 loss: 1.0550 2022/08/01 08:47:26 - mmengine - INFO - Epoch(train) [46][480/940] lr: 1.0000e-03 eta: 11:00:43 time: 0.6660 data_time: 0.1072 memory: 13619 grad_norm: 3.9868 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9688 loss: 0.9688 2022/08/01 08:47:43 - mmengine - INFO - Epoch(train) [46][500/940] lr: 1.0000e-03 eta: 11:00:29 time: 0.8444 data_time: 0.2288 memory: 13619 grad_norm: 4.2411 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0332 loss: 1.0332 2022/08/01 08:47:56 - mmengine - INFO - Epoch(train) [46][520/940] lr: 1.0000e-03 eta: 11:00:10 time: 0.6409 data_time: 0.2326 memory: 13619 grad_norm: 4.0659 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1068 loss: 1.1068 2022/08/01 08:48:13 - mmengine - INFO - Epoch(train) [46][540/940] lr: 1.0000e-03 eta: 10:59:57 time: 0.8701 data_time: 0.3367 memory: 13619 grad_norm: 4.0744 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9386 loss: 0.9386 2022/08/01 08:48:27 - mmengine - INFO - Epoch(train) [46][560/940] lr: 1.0000e-03 eta: 10:59:40 time: 0.7017 data_time: 0.2038 memory: 13619 grad_norm: 4.0305 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8941 loss: 0.8941 2022/08/01 08:48:42 - mmengine - INFO - Epoch(train) [46][580/940] lr: 1.0000e-03 eta: 10:59:24 time: 0.7482 data_time: 0.3468 memory: 13619 grad_norm: 4.1404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9779 loss: 0.9779 2022/08/01 08:48:58 - mmengine - INFO - Epoch(train) [46][600/940] lr: 1.0000e-03 eta: 10:59:08 time: 0.7713 data_time: 0.1800 memory: 13619 grad_norm: 4.0468 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1003 loss: 1.1003 2022/08/01 08:49:13 - mmengine - INFO - Epoch(train) [46][620/940] lr: 1.0000e-03 eta: 10:58:52 time: 0.7554 data_time: 0.2508 memory: 13619 grad_norm: 4.2020 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0796 loss: 1.0796 2022/08/01 08:49:28 - mmengine - INFO - Epoch(train) [46][640/940] lr: 1.0000e-03 eta: 10:58:37 time: 0.7597 data_time: 0.2469 memory: 13619 grad_norm: 4.0923 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9880 loss: 0.9880 2022/08/01 08:49:44 - mmengine - INFO - Epoch(train) [46][660/940] lr: 1.0000e-03 eta: 10:58:22 time: 0.8321 data_time: 0.4250 memory: 13619 grad_norm: 4.0213 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.8900 loss: 0.8900 2022/08/01 08:49:58 - mmengine - INFO - Epoch(train) [46][680/940] lr: 1.0000e-03 eta: 10:58:05 time: 0.6854 data_time: 0.3313 memory: 13619 grad_norm: 4.1168 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9627 loss: 0.9627 2022/08/01 08:50:16 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 08:50:16 - mmengine - INFO - Epoch(train) [46][700/940] lr: 1.0000e-03 eta: 10:57:52 time: 0.8804 data_time: 0.3887 memory: 13619 grad_norm: 4.0933 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0447 loss: 1.0447 2022/08/01 08:50:29 - mmengine - INFO - Epoch(train) [46][720/940] lr: 1.0000e-03 eta: 10:57:34 time: 0.6844 data_time: 0.2271 memory: 13619 grad_norm: 4.2059 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0947 loss: 1.0947 2022/08/01 08:50:47 - mmengine - INFO - Epoch(train) [46][740/940] lr: 1.0000e-03 eta: 10:57:21 time: 0.8816 data_time: 0.2496 memory: 13619 grad_norm: 4.0792 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0459 loss: 1.0459 2022/08/01 08:51:00 - mmengine - INFO - Epoch(train) [46][760/940] lr: 1.0000e-03 eta: 10:57:03 time: 0.6623 data_time: 0.1479 memory: 13619 grad_norm: 4.1634 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9949 loss: 0.9949 2022/08/01 08:51:17 - mmengine - INFO - Epoch(train) [46][780/940] lr: 1.0000e-03 eta: 10:56:50 time: 0.8473 data_time: 0.1354 memory: 13619 grad_norm: 4.1831 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9167 loss: 0.9167 2022/08/01 08:51:31 - mmengine - INFO - Epoch(train) [46][800/940] lr: 1.0000e-03 eta: 10:56:32 time: 0.6803 data_time: 0.0833 memory: 13619 grad_norm: 4.1645 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0021 loss: 1.0021 2022/08/01 08:51:47 - mmengine - INFO - Epoch(train) [46][820/940] lr: 1.0000e-03 eta: 10:56:17 time: 0.8188 data_time: 0.0399 memory: 13619 grad_norm: 4.1004 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0367 loss: 1.0367 2022/08/01 08:52:01 - mmengine - INFO - Epoch(train) [46][840/940] lr: 1.0000e-03 eta: 10:56:00 time: 0.6990 data_time: 0.0523 memory: 13619 grad_norm: 4.0660 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0211 loss: 1.0211 2022/08/01 08:52:17 - mmengine - INFO - Epoch(train) [46][860/940] lr: 1.0000e-03 eta: 10:55:46 time: 0.8105 data_time: 0.0555 memory: 13619 grad_norm: 4.1030 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9662 loss: 0.9662 2022/08/01 08:52:33 - mmengine - INFO - Epoch(train) [46][880/940] lr: 1.0000e-03 eta: 10:55:30 time: 0.7596 data_time: 0.1341 memory: 13619 grad_norm: 4.1102 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0378 loss: 1.0378 2022/08/01 08:52:47 - mmengine - INFO - Epoch(train) [46][900/940] lr: 1.0000e-03 eta: 10:55:13 time: 0.7217 data_time: 0.0470 memory: 13619 grad_norm: 4.1114 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0953 loss: 1.0953 2022/08/01 08:53:04 - mmengine - INFO - Epoch(train) [46][920/940] lr: 1.0000e-03 eta: 10:54:59 time: 0.8274 data_time: 0.0320 memory: 13619 grad_norm: 4.1015 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9984 loss: 0.9984 2022/08/01 08:53:17 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 08:53:17 - mmengine - INFO - Epoch(train) [46][940/940] lr: 1.0000e-03 eta: 10:54:41 time: 0.6566 data_time: 0.0522 memory: 13619 grad_norm: 4.3151 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9941 loss: 0.9941 2022/08/01 08:53:34 - mmengine - INFO - Epoch(val) [46][20/78] eta: 0:00:49 time: 0.8608 data_time: 0.7625 memory: 2186 2022/08/01 08:53:46 - mmengine - INFO - Epoch(val) [46][40/78] eta: 0:00:22 time: 0.5997 data_time: 0.4944 memory: 2186 2022/08/01 08:54:02 - mmengine - INFO - Epoch(val) [46][60/78] eta: 0:00:14 time: 0.8109 data_time: 0.7083 memory: 2186 2022/08/01 08:54:17 - mmengine - INFO - Epoch(val) [46][78/78] acc/top1: 0.7013 acc/top5: 0.8926 acc/mean1: 0.7012 2022/08/01 08:54:36 - mmengine - INFO - Epoch(train) [47][20/940] lr: 1.0000e-03 eta: 10:54:29 time: 0.9490 data_time: 0.6196 memory: 13619 grad_norm: 4.1963 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0176 loss: 1.0176 2022/08/01 08:54:50 - mmengine - INFO - Epoch(train) [47][40/940] lr: 1.0000e-03 eta: 10:54:12 time: 0.7001 data_time: 0.3838 memory: 13619 grad_norm: 4.0704 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0718 loss: 1.0718 2022/08/01 08:55:07 - mmengine - INFO - Epoch(train) [47][60/940] lr: 1.0000e-03 eta: 10:53:58 time: 0.8433 data_time: 0.4323 memory: 13619 grad_norm: 4.0121 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9979 loss: 0.9979 2022/08/01 08:55:21 - mmengine - INFO - Epoch(train) [47][80/940] lr: 1.0000e-03 eta: 10:53:41 time: 0.6973 data_time: 0.3950 memory: 13619 grad_norm: 4.0183 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0919 loss: 1.0919 2022/08/01 08:55:38 - mmengine - INFO - Epoch(train) [47][100/940] lr: 1.0000e-03 eta: 10:53:28 time: 0.8757 data_time: 0.5236 memory: 13619 grad_norm: 4.1249 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.0542 loss: 1.0542 2022/08/01 08:55:52 - mmengine - INFO - Epoch(train) [47][120/940] lr: 1.0000e-03 eta: 10:53:11 time: 0.6970 data_time: 0.2531 memory: 13619 grad_norm: 4.0926 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9891 loss: 0.9891 2022/08/01 08:56:09 - mmengine - INFO - Epoch(train) [47][140/940] lr: 1.0000e-03 eta: 10:52:57 time: 0.8500 data_time: 0.3181 memory: 13619 grad_norm: 4.0932 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0038 loss: 1.0038 2022/08/01 08:56:24 - mmengine - INFO - Epoch(train) [47][160/940] lr: 1.0000e-03 eta: 10:52:41 time: 0.7420 data_time: 0.1612 memory: 13619 grad_norm: 4.1149 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0066 loss: 1.0066 2022/08/01 08:56:39 - mmengine - INFO - Epoch(train) [47][180/940] lr: 1.0000e-03 eta: 10:52:25 time: 0.7500 data_time: 0.0893 memory: 13619 grad_norm: 3.9957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0868 loss: 1.0868 2022/08/01 08:56:53 - mmengine - INFO - Epoch(train) [47][200/940] lr: 1.0000e-03 eta: 10:52:07 time: 0.7017 data_time: 0.0882 memory: 13619 grad_norm: 4.1628 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9674 loss: 0.9674 2022/08/01 08:57:10 - mmengine - INFO - Epoch(train) [47][220/940] lr: 1.0000e-03 eta: 10:51:54 time: 0.8529 data_time: 0.2740 memory: 13619 grad_norm: 4.2412 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9912 loss: 0.9912 2022/08/01 08:57:23 - mmengine - INFO - Epoch(train) [47][240/940] lr: 1.0000e-03 eta: 10:51:36 time: 0.6569 data_time: 0.1628 memory: 13619 grad_norm: 4.0715 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 0.9891 loss: 0.9891 2022/08/01 08:57:40 - mmengine - INFO - Epoch(train) [47][260/940] lr: 1.0000e-03 eta: 10:51:22 time: 0.8503 data_time: 0.2845 memory: 13619 grad_norm: 4.1018 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9722 loss: 0.9722 2022/08/01 08:57:55 - mmengine - INFO - Epoch(train) [47][280/940] lr: 1.0000e-03 eta: 10:51:05 time: 0.7056 data_time: 0.1942 memory: 13619 grad_norm: 4.1280 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0307 loss: 1.0307 2022/08/01 08:58:11 - mmengine - INFO - Epoch(train) [47][300/940] lr: 1.0000e-03 eta: 10:50:51 time: 0.8354 data_time: 0.2376 memory: 13619 grad_norm: 4.1976 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0600 loss: 1.0600 2022/08/01 08:58:26 - mmengine - INFO - Epoch(train) [47][320/940] lr: 1.0000e-03 eta: 10:50:34 time: 0.7101 data_time: 0.2288 memory: 13619 grad_norm: 4.1313 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0468 loss: 1.0468 2022/08/01 08:58:42 - mmengine - INFO - Epoch(train) [47][340/940] lr: 1.0000e-03 eta: 10:50:20 time: 0.8261 data_time: 0.1355 memory: 13619 grad_norm: 4.0225 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9260 loss: 0.9260 2022/08/01 08:58:57 - mmengine - INFO - Epoch(train) [47][360/940] lr: 1.0000e-03 eta: 10:50:03 time: 0.7406 data_time: 0.0337 memory: 13619 grad_norm: 4.0963 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0969 loss: 1.0969 2022/08/01 08:59:12 - mmengine - INFO - Epoch(train) [47][380/940] lr: 1.0000e-03 eta: 10:49:48 time: 0.7642 data_time: 0.0617 memory: 13619 grad_norm: 4.1449 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0216 loss: 1.0216 2022/08/01 08:59:28 - mmengine - INFO - Epoch(train) [47][400/940] lr: 1.0000e-03 eta: 10:49:33 time: 0.8106 data_time: 0.0328 memory: 13619 grad_norm: 4.1144 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9710 loss: 0.9710 2022/08/01 08:59:43 - mmengine - INFO - Epoch(train) [47][420/940] lr: 1.0000e-03 eta: 10:49:17 time: 0.7424 data_time: 0.0419 memory: 13619 grad_norm: 4.1167 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0791 loss: 1.0791 2022/08/01 08:59:59 - mmengine - INFO - Epoch(train) [47][440/940] lr: 1.0000e-03 eta: 10:49:01 time: 0.7703 data_time: 0.0369 memory: 13619 grad_norm: 4.1668 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0544 loss: 1.0544 2022/08/01 09:00:17 - mmengine - INFO - Epoch(train) [47][460/940] lr: 1.0000e-03 eta: 10:48:49 time: 0.9123 data_time: 0.0372 memory: 13619 grad_norm: 4.1030 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0562 loss: 1.0562 2022/08/01 09:00:30 - mmengine - INFO - Epoch(train) [47][480/940] lr: 1.0000e-03 eta: 10:48:31 time: 0.6543 data_time: 0.0425 memory: 13619 grad_norm: 4.0910 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1320 loss: 1.1320 2022/08/01 09:00:47 - mmengine - INFO - Epoch(train) [47][500/940] lr: 1.0000e-03 eta: 10:48:17 time: 0.8531 data_time: 0.0381 memory: 13619 grad_norm: 4.0464 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9850 loss: 0.9850 2022/08/01 09:01:01 - mmengine - INFO - Epoch(train) [47][520/940] lr: 1.0000e-03 eta: 10:48:00 time: 0.7130 data_time: 0.0369 memory: 13619 grad_norm: 4.0850 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0303 loss: 1.0303 2022/08/01 09:01:18 - mmengine - INFO - Epoch(train) [47][540/940] lr: 1.0000e-03 eta: 10:47:46 time: 0.8290 data_time: 0.0396 memory: 13619 grad_norm: 4.1292 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0507 loss: 1.0507 2022/08/01 09:01:31 - mmengine - INFO - Epoch(train) [47][560/940] lr: 1.0000e-03 eta: 10:47:28 time: 0.6737 data_time: 0.0414 memory: 13619 grad_norm: 4.0749 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9457 loss: 0.9457 2022/08/01 09:01:47 - mmengine - INFO - Epoch(train) [47][580/940] lr: 1.0000e-03 eta: 10:47:13 time: 0.8023 data_time: 0.0493 memory: 13619 grad_norm: 4.0678 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9793 loss: 0.9793 2022/08/01 09:02:01 - mmengine - INFO - Epoch(train) [47][600/940] lr: 1.0000e-03 eta: 10:46:56 time: 0.6919 data_time: 0.0373 memory: 13619 grad_norm: 4.0731 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9676 loss: 0.9676 2022/08/01 09:02:18 - mmengine - INFO - Epoch(train) [47][620/940] lr: 1.0000e-03 eta: 10:46:42 time: 0.8611 data_time: 0.0384 memory: 13619 grad_norm: 4.1660 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0207 loss: 1.0207 2022/08/01 09:02:32 - mmengine - INFO - Epoch(train) [47][640/940] lr: 1.0000e-03 eta: 10:46:25 time: 0.6861 data_time: 0.0523 memory: 13619 grad_norm: 4.1461 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0765 loss: 1.0765 2022/08/01 09:02:50 - mmengine - INFO - Epoch(train) [47][660/940] lr: 1.0000e-03 eta: 10:46:12 time: 0.8866 data_time: 0.0406 memory: 13619 grad_norm: 4.0943 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9685 loss: 0.9685 2022/08/01 09:03:03 - mmengine - INFO - Epoch(train) [47][680/940] lr: 1.0000e-03 eta: 10:45:54 time: 0.6564 data_time: 0.0407 memory: 13619 grad_norm: 4.1011 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0264 loss: 1.0264 2022/08/01 09:03:20 - mmengine - INFO - Epoch(train) [47][700/940] lr: 1.0000e-03 eta: 10:45:40 time: 0.8593 data_time: 0.0408 memory: 13619 grad_norm: 4.1631 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0707 loss: 1.0707 2022/08/01 09:03:34 - mmengine - INFO - Epoch(train) [47][720/940] lr: 1.0000e-03 eta: 10:45:23 time: 0.6823 data_time: 0.0506 memory: 13619 grad_norm: 4.1684 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/08/01 09:03:50 - mmengine - INFO - Epoch(train) [47][740/940] lr: 1.0000e-03 eta: 10:45:09 time: 0.8264 data_time: 0.0496 memory: 13619 grad_norm: 4.1751 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0710 loss: 1.0710 2022/08/01 09:04:04 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 09:04:04 - mmengine - INFO - Epoch(train) [47][760/940] lr: 1.0000e-03 eta: 10:44:51 time: 0.6844 data_time: 0.0400 memory: 13619 grad_norm: 4.0441 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0315 loss: 1.0315 2022/08/01 09:04:21 - mmengine - INFO - Epoch(train) [47][780/940] lr: 1.0000e-03 eta: 10:44:37 time: 0.8572 data_time: 0.0370 memory: 13619 grad_norm: 4.1567 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9770 loss: 0.9770 2022/08/01 09:04:35 - mmengine - INFO - Epoch(train) [47][800/940] lr: 1.0000e-03 eta: 10:44:20 time: 0.6799 data_time: 0.0336 memory: 13619 grad_norm: 4.3178 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0655 loss: 1.0655 2022/08/01 09:04:52 - mmengine - INFO - Epoch(train) [47][820/940] lr: 1.0000e-03 eta: 10:44:06 time: 0.8529 data_time: 0.0390 memory: 13619 grad_norm: 4.1401 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1089 loss: 1.1089 2022/08/01 09:05:06 - mmengine - INFO - Epoch(train) [47][840/940] lr: 1.0000e-03 eta: 10:43:49 time: 0.6996 data_time: 0.0399 memory: 13619 grad_norm: 4.1194 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8534 loss: 0.8534 2022/08/01 09:05:23 - mmengine - INFO - Epoch(train) [47][860/940] lr: 1.0000e-03 eta: 10:43:35 time: 0.8400 data_time: 0.0426 memory: 13619 grad_norm: 4.1953 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1648 loss: 1.1648 2022/08/01 09:05:36 - mmengine - INFO - Epoch(train) [47][880/940] lr: 1.0000e-03 eta: 10:43:17 time: 0.6474 data_time: 0.0470 memory: 13619 grad_norm: 4.1356 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0147 loss: 1.0147 2022/08/01 09:05:53 - mmengine - INFO - Epoch(train) [47][900/940] lr: 1.0000e-03 eta: 10:43:03 time: 0.8662 data_time: 0.0375 memory: 13619 grad_norm: 4.1793 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9596 loss: 0.9596 2022/08/01 09:06:07 - mmengine - INFO - Epoch(train) [47][920/940] lr: 1.0000e-03 eta: 10:42:46 time: 0.6762 data_time: 0.0339 memory: 13619 grad_norm: 4.1489 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9929 loss: 0.9929 2022/08/01 09:06:21 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 09:06:21 - mmengine - INFO - Epoch(train) [47][940/940] lr: 1.0000e-03 eta: 10:42:29 time: 0.7059 data_time: 0.0265 memory: 13619 grad_norm: 4.3766 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.0158 loss: 1.0158 2022/08/01 09:06:38 - mmengine - INFO - Epoch(val) [47][20/78] eta: 0:00:50 time: 0.8748 data_time: 0.7803 memory: 2186 2022/08/01 09:06:50 - mmengine - INFO - Epoch(val) [47][40/78] eta: 0:00:23 time: 0.6112 data_time: 0.5173 memory: 2186 2022/08/01 09:07:09 - mmengine - INFO - Epoch(val) [47][60/78] eta: 0:00:16 time: 0.9159 data_time: 0.8226 memory: 2186 2022/08/01 09:07:20 - mmengine - INFO - Epoch(val) [47][78/78] acc/top1: 0.7039 acc/top5: 0.8923 acc/mean1: 0.7038 2022/08/01 09:07:20 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_45.pth is removed 2022/08/01 09:07:22 - mmengine - INFO - The best checkpoint with 0.7039 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2022/08/01 09:07:41 - mmengine - INFO - Epoch(train) [48][20/940] lr: 1.0000e-03 eta: 10:42:18 time: 0.9768 data_time: 0.6593 memory: 13619 grad_norm: 4.0527 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9528 loss: 0.9528 2022/08/01 09:07:56 - mmengine - INFO - Epoch(train) [48][40/940] lr: 1.0000e-03 eta: 10:42:01 time: 0.7222 data_time: 0.4473 memory: 13619 grad_norm: 4.1266 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9987 loss: 0.9987 2022/08/01 09:08:13 - mmengine - INFO - Epoch(train) [48][60/940] lr: 1.0000e-03 eta: 10:41:48 time: 0.8800 data_time: 0.5732 memory: 13619 grad_norm: 4.2339 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9518 loss: 0.9518 2022/08/01 09:08:27 - mmengine - INFO - Epoch(train) [48][80/940] lr: 1.0000e-03 eta: 10:41:30 time: 0.6783 data_time: 0.3664 memory: 13619 grad_norm: 4.1303 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0415 loss: 1.0415 2022/08/01 09:08:44 - mmengine - INFO - Epoch(train) [48][100/940] lr: 1.0000e-03 eta: 10:41:17 time: 0.8748 data_time: 0.4979 memory: 13619 grad_norm: 4.1581 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9620 loss: 0.9620 2022/08/01 09:08:58 - mmengine - INFO - Epoch(train) [48][120/940] lr: 1.0000e-03 eta: 10:40:59 time: 0.6666 data_time: 0.3007 memory: 13619 grad_norm: 4.1392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0273 loss: 1.0273 2022/08/01 09:09:14 - mmengine - INFO - Epoch(train) [48][140/940] lr: 1.0000e-03 eta: 10:40:45 time: 0.8103 data_time: 0.4210 memory: 13619 grad_norm: 4.1373 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8950 loss: 0.8950 2022/08/01 09:09:27 - mmengine - INFO - Epoch(train) [48][160/940] lr: 1.0000e-03 eta: 10:40:27 time: 0.6806 data_time: 0.2949 memory: 13619 grad_norm: 4.1714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9446 loss: 0.9446 2022/08/01 09:09:45 - mmengine - INFO - Epoch(train) [48][180/940] lr: 1.0000e-03 eta: 10:40:14 time: 0.8648 data_time: 0.4285 memory: 13619 grad_norm: 4.0935 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9325 loss: 0.9325 2022/08/01 09:09:59 - mmengine - INFO - Epoch(train) [48][200/940] lr: 1.0000e-03 eta: 10:39:56 time: 0.6921 data_time: 0.3209 memory: 13619 grad_norm: 4.1738 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0526 loss: 1.0526 2022/08/01 09:10:17 - mmengine - INFO - Epoch(train) [48][220/940] lr: 1.0000e-03 eta: 10:39:44 time: 0.9031 data_time: 0.5382 memory: 13619 grad_norm: 4.2177 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.0794 loss: 1.0794 2022/08/01 09:10:31 - mmengine - INFO - Epoch(train) [48][240/940] lr: 1.0000e-03 eta: 10:39:27 time: 0.7187 data_time: 0.3511 memory: 13619 grad_norm: 4.1405 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0034 loss: 1.0034 2022/08/01 09:10:49 - mmengine - INFO - Epoch(train) [48][260/940] lr: 1.0000e-03 eta: 10:39:15 time: 0.9101 data_time: 0.5801 memory: 13619 grad_norm: 4.1981 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9886 loss: 0.9886 2022/08/01 09:11:02 - mmengine - INFO - Epoch(train) [48][280/940] lr: 1.0000e-03 eta: 10:38:56 time: 0.6190 data_time: 0.3194 memory: 13619 grad_norm: 4.1035 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0475 loss: 1.0475 2022/08/01 09:11:18 - mmengine - INFO - Epoch(train) [48][300/940] lr: 1.0000e-03 eta: 10:38:41 time: 0.8031 data_time: 0.5007 memory: 13619 grad_norm: 4.1494 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0074 loss: 1.0074 2022/08/01 09:11:31 - mmengine - INFO - Epoch(train) [48][320/940] lr: 1.0000e-03 eta: 10:38:23 time: 0.6633 data_time: 0.3130 memory: 13619 grad_norm: 4.0593 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.0244 loss: 1.0244 2022/08/01 09:11:48 - mmengine - INFO - Epoch(train) [48][340/940] lr: 1.0000e-03 eta: 10:38:09 time: 0.8513 data_time: 0.4407 memory: 13619 grad_norm: 4.1336 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9449 loss: 0.9449 2022/08/01 09:12:02 - mmengine - INFO - Epoch(train) [48][360/940] lr: 1.0000e-03 eta: 10:37:52 time: 0.7177 data_time: 0.2744 memory: 13619 grad_norm: 4.1185 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9824 loss: 0.9824 2022/08/01 09:12:21 - mmengine - INFO - Epoch(train) [48][380/940] lr: 1.0000e-03 eta: 10:37:40 time: 0.9065 data_time: 0.5680 memory: 13619 grad_norm: 4.1400 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0166 loss: 1.0166 2022/08/01 09:12:33 - mmengine - INFO - Epoch(train) [48][400/940] lr: 1.0000e-03 eta: 10:37:21 time: 0.6093 data_time: 0.2847 memory: 13619 grad_norm: 4.1603 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0542 loss: 1.0542 2022/08/01 09:12:50 - mmengine - INFO - Epoch(train) [48][420/940] lr: 1.0000e-03 eta: 10:37:07 time: 0.8638 data_time: 0.5082 memory: 13619 grad_norm: 4.2099 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0257 loss: 1.0257 2022/08/01 09:13:03 - mmengine - INFO - Epoch(train) [48][440/940] lr: 1.0000e-03 eta: 10:36:50 time: 0.6723 data_time: 0.3193 memory: 13619 grad_norm: 4.1155 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/08/01 09:13:19 - mmengine - INFO - Epoch(train) [48][460/940] lr: 1.0000e-03 eta: 10:36:34 time: 0.7929 data_time: 0.3631 memory: 13619 grad_norm: 4.1735 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9936 loss: 0.9936 2022/08/01 09:13:34 - mmengine - INFO - Epoch(train) [48][480/940] lr: 1.0000e-03 eta: 10:36:18 time: 0.7195 data_time: 0.2860 memory: 13619 grad_norm: 4.1375 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0318 loss: 1.0318 2022/08/01 09:13:49 - mmengine - INFO - Epoch(train) [48][500/940] lr: 1.0000e-03 eta: 10:36:02 time: 0.7723 data_time: 0.3400 memory: 13619 grad_norm: 4.3180 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0756 loss: 1.0756 2022/08/01 09:14:04 - mmengine - INFO - Epoch(train) [48][520/940] lr: 1.0000e-03 eta: 10:35:46 time: 0.7471 data_time: 0.2628 memory: 13619 grad_norm: 4.0737 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.0967 loss: 1.0967 2022/08/01 09:14:22 - mmengine - INFO - Epoch(train) [48][540/940] lr: 1.0000e-03 eta: 10:35:33 time: 0.8912 data_time: 0.4216 memory: 13619 grad_norm: 4.1995 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0499 loss: 1.0499 2022/08/01 09:14:35 - mmengine - INFO - Epoch(train) [48][560/940] lr: 1.0000e-03 eta: 10:35:15 time: 0.6594 data_time: 0.3162 memory: 13619 grad_norm: 4.1274 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0707 loss: 1.0707 2022/08/01 09:14:51 - mmengine - INFO - Epoch(train) [48][580/940] lr: 1.0000e-03 eta: 10:35:00 time: 0.7812 data_time: 0.2940 memory: 13619 grad_norm: 4.2357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0069 loss: 1.0069 2022/08/01 09:15:07 - mmengine - INFO - Epoch(train) [48][600/940] lr: 1.0000e-03 eta: 10:34:46 time: 0.8226 data_time: 0.1547 memory: 13619 grad_norm: 4.0967 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0129 loss: 1.0129 2022/08/01 09:15:21 - mmengine - INFO - Epoch(train) [48][620/940] lr: 1.0000e-03 eta: 10:34:28 time: 0.6943 data_time: 0.0600 memory: 13619 grad_norm: 4.0591 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9539 loss: 0.9539 2022/08/01 09:15:38 - mmengine - INFO - Epoch(train) [48][640/940] lr: 1.0000e-03 eta: 10:34:14 time: 0.8265 data_time: 0.0508 memory: 13619 grad_norm: 4.1400 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 0.9589 loss: 0.9589 2022/08/01 09:15:52 - mmengine - INFO - Epoch(train) [48][660/940] lr: 1.0000e-03 eta: 10:33:57 time: 0.7175 data_time: 0.0603 memory: 13619 grad_norm: 4.2048 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0624 loss: 1.0624 2022/08/01 09:16:09 - mmengine - INFO - Epoch(train) [48][680/940] lr: 1.0000e-03 eta: 10:33:44 time: 0.8748 data_time: 0.0388 memory: 13619 grad_norm: 4.1950 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9367 loss: 0.9367 2022/08/01 09:16:23 - mmengine - INFO - Epoch(train) [48][700/940] lr: 1.0000e-03 eta: 10:33:27 time: 0.6851 data_time: 0.0373 memory: 13619 grad_norm: 4.1721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0262 loss: 1.0262 2022/08/01 09:16:40 - mmengine - INFO - Epoch(train) [48][720/940] lr: 1.0000e-03 eta: 10:33:12 time: 0.8140 data_time: 0.0341 memory: 13619 grad_norm: 4.2381 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0485 loss: 1.0485 2022/08/01 09:16:52 - mmengine - INFO - Epoch(train) [48][740/940] lr: 1.0000e-03 eta: 10:32:54 time: 0.6372 data_time: 0.0384 memory: 13619 grad_norm: 4.1486 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0580 loss: 1.0580 2022/08/01 09:17:09 - mmengine - INFO - Epoch(train) [48][760/940] lr: 1.0000e-03 eta: 10:32:40 time: 0.8529 data_time: 0.0379 memory: 13619 grad_norm: 4.1757 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9562 loss: 0.9562 2022/08/01 09:17:23 - mmengine - INFO - Epoch(train) [48][780/940] lr: 1.0000e-03 eta: 10:32:22 time: 0.6736 data_time: 0.0763 memory: 13619 grad_norm: 4.0413 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9829 loss: 0.9829 2022/08/01 09:17:39 - mmengine - INFO - Epoch(train) [48][800/940] lr: 1.0000e-03 eta: 10:32:08 time: 0.8307 data_time: 0.0573 memory: 13619 grad_norm: 4.1786 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9525 loss: 0.9525 2022/08/01 09:17:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 09:17:55 - mmengine - INFO - Epoch(train) [48][820/940] lr: 1.0000e-03 eta: 10:31:52 time: 0.7551 data_time: 0.2532 memory: 13619 grad_norm: 4.1912 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9651 loss: 0.9651 2022/08/01 09:18:10 - mmengine - INFO - Epoch(train) [48][840/940] lr: 1.0000e-03 eta: 10:31:37 time: 0.7938 data_time: 0.1642 memory: 13619 grad_norm: 4.1936 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0575 loss: 1.0575 2022/08/01 09:18:25 - mmengine - INFO - Epoch(train) [48][860/940] lr: 1.0000e-03 eta: 10:31:20 time: 0.7117 data_time: 0.1408 memory: 13619 grad_norm: 4.3488 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0589 loss: 1.0589 2022/08/01 09:18:41 - mmengine - INFO - Epoch(train) [48][880/940] lr: 1.0000e-03 eta: 10:31:06 time: 0.8242 data_time: 0.0963 memory: 13619 grad_norm: 4.1435 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.8913 loss: 0.8913 2022/08/01 09:18:55 - mmengine - INFO - Epoch(train) [48][900/940] lr: 1.0000e-03 eta: 10:30:49 time: 0.7001 data_time: 0.0624 memory: 13619 grad_norm: 4.1143 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9616 loss: 0.9616 2022/08/01 09:19:12 - mmengine - INFO - Epoch(train) [48][920/940] lr: 1.0000e-03 eta: 10:30:34 time: 0.8204 data_time: 0.0547 memory: 13619 grad_norm: 4.1362 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0216 loss: 1.0216 2022/08/01 09:19:24 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 09:19:24 - mmengine - INFO - Epoch(train) [48][940/940] lr: 1.0000e-03 eta: 10:30:16 time: 0.6459 data_time: 0.0588 memory: 13619 grad_norm: 4.4606 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8448 loss: 0.8448 2022/08/01 09:19:25 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/01 09:19:44 - mmengine - INFO - Epoch(val) [48][20/78] eta: 0:00:50 time: 0.8751 data_time: 0.7844 memory: 2186 2022/08/01 09:19:56 - mmengine - INFO - Epoch(val) [48][40/78] eta: 0:00:22 time: 0.5976 data_time: 0.5055 memory: 2186 2022/08/01 09:20:12 - mmengine - INFO - Epoch(val) [48][60/78] eta: 0:00:14 time: 0.8169 data_time: 0.7256 memory: 2186 2022/08/01 09:20:25 - mmengine - INFO - Epoch(val) [48][78/78] acc/top1: 0.7034 acc/top5: 0.8925 acc/mean1: 0.7033 2022/08/01 09:20:46 - mmengine - INFO - Epoch(train) [49][20/940] lr: 1.0000e-03 eta: 10:30:07 time: 1.0582 data_time: 0.5876 memory: 13619 grad_norm: 4.1156 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9670 loss: 0.9670 2022/08/01 09:20:59 - mmengine - INFO - Epoch(train) [49][40/940] lr: 1.0000e-03 eta: 10:29:48 time: 0.6356 data_time: 0.2098 memory: 13619 grad_norm: 4.0773 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9069 loss: 0.9069 2022/08/01 09:21:16 - mmengine - INFO - Epoch(train) [49][60/940] lr: 1.0000e-03 eta: 10:29:35 time: 0.8894 data_time: 0.3502 memory: 13619 grad_norm: 4.1631 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0183 loss: 1.0183 2022/08/01 09:21:30 - mmengine - INFO - Epoch(train) [49][80/940] lr: 1.0000e-03 eta: 10:29:18 time: 0.6875 data_time: 0.1487 memory: 13619 grad_norm: 4.1380 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9427 loss: 0.9427 2022/08/01 09:21:47 - mmengine - INFO - Epoch(train) [49][100/940] lr: 1.0000e-03 eta: 10:29:04 time: 0.8592 data_time: 0.2901 memory: 13619 grad_norm: 4.0907 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9496 loss: 0.9496 2022/08/01 09:22:02 - mmengine - INFO - Epoch(train) [49][120/940] lr: 1.0000e-03 eta: 10:28:48 time: 0.7094 data_time: 0.0992 memory: 13619 grad_norm: 4.0911 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0379 loss: 1.0379 2022/08/01 09:22:18 - mmengine - INFO - Epoch(train) [49][140/940] lr: 1.0000e-03 eta: 10:28:33 time: 0.8311 data_time: 0.1689 memory: 13619 grad_norm: 4.1299 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9971 loss: 0.9971 2022/08/01 09:22:33 - mmengine - INFO - Epoch(train) [49][160/940] lr: 1.0000e-03 eta: 10:28:17 time: 0.7388 data_time: 0.1778 memory: 13619 grad_norm: 4.0021 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0022 loss: 1.0022 2022/08/01 09:22:49 - mmengine - INFO - Epoch(train) [49][180/940] lr: 1.0000e-03 eta: 10:28:03 time: 0.8239 data_time: 0.0592 memory: 13619 grad_norm: 4.1382 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9495 loss: 0.9495 2022/08/01 09:23:03 - mmengine - INFO - Epoch(train) [49][200/940] lr: 1.0000e-03 eta: 10:27:45 time: 0.6689 data_time: 0.0431 memory: 13619 grad_norm: 4.0676 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9287 loss: 0.9287 2022/08/01 09:23:20 - mmengine - INFO - Epoch(train) [49][220/940] lr: 1.0000e-03 eta: 10:27:31 time: 0.8401 data_time: 0.1168 memory: 13619 grad_norm: 4.1735 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1143 loss: 1.1143 2022/08/01 09:23:33 - mmengine - INFO - Epoch(train) [49][240/940] lr: 1.0000e-03 eta: 10:27:13 time: 0.6748 data_time: 0.1165 memory: 13619 grad_norm: 4.0661 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/08/01 09:23:51 - mmengine - INFO - Epoch(train) [49][260/940] lr: 1.0000e-03 eta: 10:27:00 time: 0.8812 data_time: 0.1582 memory: 13619 grad_norm: 4.0592 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9666 loss: 0.9666 2022/08/01 09:24:03 - mmengine - INFO - Epoch(train) [49][280/940] lr: 1.0000e-03 eta: 10:26:41 time: 0.6028 data_time: 0.0566 memory: 13619 grad_norm: 4.2933 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8922 loss: 0.8922 2022/08/01 09:24:20 - mmengine - INFO - Epoch(train) [49][300/940] lr: 1.0000e-03 eta: 10:26:27 time: 0.8637 data_time: 0.1195 memory: 13619 grad_norm: 4.0709 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0126 loss: 1.0126 2022/08/01 09:24:33 - mmengine - INFO - Epoch(train) [49][320/940] lr: 1.0000e-03 eta: 10:26:09 time: 0.6405 data_time: 0.0550 memory: 13619 grad_norm: 4.2549 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1451 loss: 1.1451 2022/08/01 09:24:50 - mmengine - INFO - Epoch(train) [49][340/940] lr: 1.0000e-03 eta: 10:25:55 time: 0.8603 data_time: 0.1014 memory: 13619 grad_norm: 4.1671 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9406 loss: 0.9406 2022/08/01 09:25:04 - mmengine - INFO - Epoch(train) [49][360/940] lr: 1.0000e-03 eta: 10:25:39 time: 0.7138 data_time: 0.0596 memory: 13619 grad_norm: 4.0537 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/08/01 09:25:23 - mmengine - INFO - Epoch(train) [49][380/940] lr: 1.0000e-03 eta: 10:25:26 time: 0.9102 data_time: 0.0394 memory: 13619 grad_norm: 4.1558 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0042 loss: 1.0042 2022/08/01 09:25:37 - mmengine - INFO - Epoch(train) [49][400/940] lr: 1.0000e-03 eta: 10:25:09 time: 0.6925 data_time: 0.0370 memory: 13619 grad_norm: 4.2423 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9836 loss: 0.9836 2022/08/01 09:25:53 - mmengine - INFO - Epoch(train) [49][420/940] lr: 1.0000e-03 eta: 10:24:54 time: 0.8107 data_time: 0.0408 memory: 13619 grad_norm: 4.1181 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9558 loss: 0.9558 2022/08/01 09:26:07 - mmengine - INFO - Epoch(train) [49][440/940] lr: 1.0000e-03 eta: 10:24:37 time: 0.6897 data_time: 0.0486 memory: 13619 grad_norm: 4.0888 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0257 loss: 1.0257 2022/08/01 09:26:23 - mmengine - INFO - Epoch(train) [49][460/940] lr: 1.0000e-03 eta: 10:24:23 time: 0.8236 data_time: 0.0358 memory: 13619 grad_norm: 4.0675 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1055 loss: 1.1055 2022/08/01 09:26:36 - mmengine - INFO - Epoch(train) [49][480/940] lr: 1.0000e-03 eta: 10:24:05 time: 0.6518 data_time: 0.0508 memory: 13619 grad_norm: 4.2272 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0158 loss: 1.0158 2022/08/01 09:26:52 - mmengine - INFO - Epoch(train) [49][500/940] lr: 1.0000e-03 eta: 10:23:50 time: 0.8104 data_time: 0.0388 memory: 13619 grad_norm: 4.1737 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.9862 loss: 0.9862 2022/08/01 09:27:07 - mmengine - INFO - Epoch(train) [49][520/940] lr: 1.0000e-03 eta: 10:23:33 time: 0.7274 data_time: 0.0520 memory: 13619 grad_norm: 4.1629 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9669 loss: 0.9669 2022/08/01 09:27:24 - mmengine - INFO - Epoch(train) [49][540/940] lr: 1.0000e-03 eta: 10:23:20 time: 0.8499 data_time: 0.0399 memory: 13619 grad_norm: 4.1718 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8386 loss: 0.8386 2022/08/01 09:27:37 - mmengine - INFO - Epoch(train) [49][560/940] lr: 1.0000e-03 eta: 10:23:02 time: 0.6650 data_time: 0.0372 memory: 13619 grad_norm: 4.1668 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0149 loss: 1.0149 2022/08/01 09:27:54 - mmengine - INFO - Epoch(train) [49][580/940] lr: 1.0000e-03 eta: 10:22:48 time: 0.8649 data_time: 0.0340 memory: 13619 grad_norm: 4.2358 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9461 loss: 0.9461 2022/08/01 09:28:08 - mmengine - INFO - Epoch(train) [49][600/940] lr: 1.0000e-03 eta: 10:22:30 time: 0.6614 data_time: 0.0390 memory: 13619 grad_norm: 4.2391 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9170 loss: 0.9170 2022/08/01 09:28:25 - mmengine - INFO - Epoch(train) [49][620/940] lr: 1.0000e-03 eta: 10:22:17 time: 0.8759 data_time: 0.0344 memory: 13619 grad_norm: 4.1416 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/08/01 09:28:39 - mmengine - INFO - Epoch(train) [49][640/940] lr: 1.0000e-03 eta: 10:22:00 time: 0.6775 data_time: 0.1056 memory: 13619 grad_norm: 4.1742 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9713 loss: 0.9713 2022/08/01 09:28:55 - mmengine - INFO - Epoch(train) [49][660/940] lr: 1.0000e-03 eta: 10:21:45 time: 0.8340 data_time: 0.0655 memory: 13619 grad_norm: 4.1162 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0142 loss: 1.0142 2022/08/01 09:29:10 - mmengine - INFO - Epoch(train) [49][680/940] lr: 1.0000e-03 eta: 10:21:29 time: 0.7094 data_time: 0.1604 memory: 13619 grad_norm: 4.1321 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0985 loss: 1.0985 2022/08/01 09:29:25 - mmengine - INFO - Epoch(train) [49][700/940] lr: 1.0000e-03 eta: 10:21:13 time: 0.7714 data_time: 0.1535 memory: 13619 grad_norm: 4.2630 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0208 loss: 1.0208 2022/08/01 09:29:41 - mmengine - INFO - Epoch(train) [49][720/940] lr: 1.0000e-03 eta: 10:20:58 time: 0.8028 data_time: 0.1788 memory: 13619 grad_norm: 4.1531 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0562 loss: 1.0562 2022/08/01 09:29:56 - mmengine - INFO - Epoch(train) [49][740/940] lr: 1.0000e-03 eta: 10:20:42 time: 0.7636 data_time: 0.0696 memory: 13619 grad_norm: 4.1965 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0361 loss: 1.0361 2022/08/01 09:30:11 - mmengine - INFO - Epoch(train) [49][760/940] lr: 1.0000e-03 eta: 10:20:26 time: 0.7225 data_time: 0.0359 memory: 13619 grad_norm: 4.1930 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9570 loss: 0.9570 2022/08/01 09:30:28 - mmengine - INFO - Epoch(train) [49][780/940] lr: 1.0000e-03 eta: 10:20:12 time: 0.8447 data_time: 0.0742 memory: 13619 grad_norm: 4.2085 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0019 loss: 1.0019 2022/08/01 09:30:42 - mmengine - INFO - Epoch(train) [49][800/940] lr: 1.0000e-03 eta: 10:19:55 time: 0.7066 data_time: 0.0310 memory: 13619 grad_norm: 4.2388 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0192 loss: 1.0192 2022/08/01 09:30:59 - mmengine - INFO - Epoch(train) [49][820/940] lr: 1.0000e-03 eta: 10:19:41 time: 0.8429 data_time: 0.0416 memory: 13619 grad_norm: 4.3110 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0553 loss: 1.0553 2022/08/01 09:31:13 - mmengine - INFO - Epoch(train) [49][840/940] lr: 1.0000e-03 eta: 10:19:25 time: 0.7347 data_time: 0.0332 memory: 13619 grad_norm: 4.0839 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9580 loss: 0.9580 2022/08/01 09:31:30 - mmengine - INFO - Epoch(train) [49][860/940] lr: 1.0000e-03 eta: 10:19:10 time: 0.8046 data_time: 0.0430 memory: 13619 grad_norm: 4.1896 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1332 loss: 1.1332 2022/08/01 09:31:44 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 09:31:44 - mmengine - INFO - Epoch(train) [49][880/940] lr: 1.0000e-03 eta: 10:18:54 time: 0.7383 data_time: 0.0319 memory: 13619 grad_norm: 4.2147 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9880 loss: 0.9880 2022/08/01 09:32:02 - mmengine - INFO - Epoch(train) [49][900/940] lr: 1.0000e-03 eta: 10:18:40 time: 0.8737 data_time: 0.0424 memory: 13619 grad_norm: 4.2613 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9949 loss: 0.9949 2022/08/01 09:32:16 - mmengine - INFO - Epoch(train) [49][920/940] lr: 1.0000e-03 eta: 10:18:23 time: 0.7023 data_time: 0.0327 memory: 13619 grad_norm: 4.0870 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0099 loss: 1.0099 2022/08/01 09:32:29 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 09:32:29 - mmengine - INFO - Epoch(train) [49][940/940] lr: 1.0000e-03 eta: 10:18:05 time: 0.6507 data_time: 0.0257 memory: 13619 grad_norm: 4.5130 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1141 loss: 1.1141 2022/08/01 09:32:46 - mmengine - INFO - Epoch(val) [49][20/78] eta: 0:00:49 time: 0.8475 data_time: 0.7541 memory: 2186 2022/08/01 09:32:58 - mmengine - INFO - Epoch(val) [49][40/78] eta: 0:00:23 time: 0.6123 data_time: 0.5070 memory: 2186 2022/08/01 09:33:17 - mmengine - INFO - Epoch(val) [49][60/78] eta: 0:00:16 time: 0.9171 data_time: 0.8239 memory: 2186 2022/08/01 09:33:28 - mmengine - INFO - Epoch(val) [49][78/78] acc/top1: 0.7041 acc/top5: 0.8922 acc/mean1: 0.7040 2022/08/01 09:33:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_48.pth is removed 2022/08/01 09:33:29 - mmengine - INFO - The best checkpoint with 0.7041 acc/top1 at 50 epoch is saved to best_acc/top1_epoch_50.pth. 2022/08/01 09:33:49 - mmengine - INFO - Epoch(train) [50][20/940] lr: 1.0000e-03 eta: 10:17:54 time: 0.9681 data_time: 0.6890 memory: 13619 grad_norm: 4.1434 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0560 loss: 1.0560 2022/08/01 09:34:02 - mmengine - INFO - Epoch(train) [50][40/940] lr: 1.0000e-03 eta: 10:17:36 time: 0.6667 data_time: 0.3850 memory: 13619 grad_norm: 4.1244 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8139 loss: 0.8139 2022/08/01 09:34:19 - mmengine - INFO - Epoch(train) [50][60/940] lr: 1.0000e-03 eta: 10:17:22 time: 0.8470 data_time: 0.5634 memory: 13619 grad_norm: 4.0977 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.9914 loss: 0.9914 2022/08/01 09:34:33 - mmengine - INFO - Epoch(train) [50][80/940] lr: 1.0000e-03 eta: 10:17:05 time: 0.6878 data_time: 0.3576 memory: 13619 grad_norm: 4.1569 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9014 loss: 0.9014 2022/08/01 09:34:52 - mmengine - INFO - Epoch(train) [50][100/940] lr: 1.0000e-03 eta: 10:16:53 time: 0.9417 data_time: 0.5681 memory: 13619 grad_norm: 4.1695 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9975 loss: 0.9975 2022/08/01 09:35:05 - mmengine - INFO - Epoch(train) [50][120/940] lr: 1.0000e-03 eta: 10:16:36 time: 0.6832 data_time: 0.3299 memory: 13619 grad_norm: 4.2262 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8894 loss: 0.8894 2022/08/01 09:35:23 - mmengine - INFO - Epoch(train) [50][140/940] lr: 1.0000e-03 eta: 10:16:23 time: 0.8874 data_time: 0.4838 memory: 13619 grad_norm: 4.1689 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9630 loss: 0.9630 2022/08/01 09:35:36 - mmengine - INFO - Epoch(train) [50][160/940] lr: 1.0000e-03 eta: 10:16:05 time: 0.6715 data_time: 0.3702 memory: 13619 grad_norm: 4.1452 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9297 loss: 0.9297 2022/08/01 09:35:53 - mmengine - INFO - Epoch(train) [50][180/940] lr: 1.0000e-03 eta: 10:15:51 time: 0.8330 data_time: 0.5256 memory: 13619 grad_norm: 4.2605 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0608 loss: 1.0608 2022/08/01 09:36:06 - mmengine - INFO - Epoch(train) [50][200/940] lr: 1.0000e-03 eta: 10:15:33 time: 0.6411 data_time: 0.3250 memory: 13619 grad_norm: 4.2639 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0590 loss: 1.0590 2022/08/01 09:36:23 - mmengine - INFO - Epoch(train) [50][220/940] lr: 1.0000e-03 eta: 10:15:19 time: 0.8711 data_time: 0.5084 memory: 13619 grad_norm: 4.1726 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9654 loss: 0.9654 2022/08/01 09:36:37 - mmengine - INFO - Epoch(train) [50][240/940] lr: 1.0000e-03 eta: 10:15:02 time: 0.6927 data_time: 0.3766 memory: 13619 grad_norm: 4.0961 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9711 loss: 0.9711 2022/08/01 09:36:54 - mmengine - INFO - Epoch(train) [50][260/940] lr: 1.0000e-03 eta: 10:14:48 time: 0.8349 data_time: 0.4922 memory: 13619 grad_norm: 4.1481 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8890 loss: 0.8890 2022/08/01 09:37:07 - mmengine - INFO - Epoch(train) [50][280/940] lr: 1.0000e-03 eta: 10:14:30 time: 0.6626 data_time: 0.3617 memory: 13619 grad_norm: 4.1597 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9779 loss: 0.9779 2022/08/01 09:37:25 - mmengine - INFO - Epoch(train) [50][300/940] lr: 1.0000e-03 eta: 10:14:17 time: 0.8852 data_time: 0.5722 memory: 13619 grad_norm: 4.1969 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9397 loss: 0.9397 2022/08/01 09:37:38 - mmengine - INFO - Epoch(train) [50][320/940] lr: 1.0000e-03 eta: 10:13:59 time: 0.6723 data_time: 0.3833 memory: 13619 grad_norm: 4.1615 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0350 loss: 1.0350 2022/08/01 09:37:55 - mmengine - INFO - Epoch(train) [50][340/940] lr: 1.0000e-03 eta: 10:13:45 time: 0.8171 data_time: 0.5292 memory: 13619 grad_norm: 4.2322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9691 loss: 0.9691 2022/08/01 09:38:08 - mmengine - INFO - Epoch(train) [50][360/940] lr: 1.0000e-03 eta: 10:13:27 time: 0.6568 data_time: 0.3665 memory: 13619 grad_norm: 4.1519 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/08/01 09:38:24 - mmengine - INFO - Epoch(train) [50][380/940] lr: 1.0000e-03 eta: 10:13:12 time: 0.7896 data_time: 0.4977 memory: 13619 grad_norm: 4.1201 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9342 loss: 0.9342 2022/08/01 09:38:39 - mmengine - INFO - Epoch(train) [50][400/940] lr: 1.0000e-03 eta: 10:12:56 time: 0.7659 data_time: 0.3785 memory: 13619 grad_norm: 4.2711 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9741 loss: 0.9741 2022/08/01 09:38:55 - mmengine - INFO - Epoch(train) [50][420/940] lr: 1.0000e-03 eta: 10:12:41 time: 0.7854 data_time: 0.2913 memory: 13619 grad_norm: 4.1411 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8829 loss: 0.8829 2022/08/01 09:39:10 - mmengine - INFO - Epoch(train) [50][440/940] lr: 1.0000e-03 eta: 10:12:25 time: 0.7564 data_time: 0.3307 memory: 13619 grad_norm: 4.1266 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0026 loss: 1.0026 2022/08/01 09:39:25 - mmengine - INFO - Epoch(train) [50][460/940] lr: 1.0000e-03 eta: 10:12:09 time: 0.7380 data_time: 0.2728 memory: 13619 grad_norm: 4.1137 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0051 loss: 1.0051 2022/08/01 09:39:39 - mmengine - INFO - Epoch(train) [50][480/940] lr: 1.0000e-03 eta: 10:11:52 time: 0.7304 data_time: 0.1681 memory: 13619 grad_norm: 4.1873 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0114 loss: 1.0114 2022/08/01 09:39:55 - mmengine - INFO - Epoch(train) [50][500/940] lr: 1.0000e-03 eta: 10:11:38 time: 0.8136 data_time: 0.1652 memory: 13619 grad_norm: 4.1450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0016 loss: 1.0016 2022/08/01 09:40:10 - mmengine - INFO - Epoch(train) [50][520/940] lr: 1.0000e-03 eta: 10:11:21 time: 0.7365 data_time: 0.1002 memory: 13619 grad_norm: 4.2756 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9768 loss: 0.9768 2022/08/01 09:40:27 - mmengine - INFO - Epoch(train) [50][540/940] lr: 1.0000e-03 eta: 10:11:07 time: 0.8294 data_time: 0.0446 memory: 13619 grad_norm: 4.1708 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8566 loss: 0.8566 2022/08/01 09:40:42 - mmengine - INFO - Epoch(train) [50][560/940] lr: 1.0000e-03 eta: 10:10:51 time: 0.7601 data_time: 0.0500 memory: 13619 grad_norm: 4.1174 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9728 loss: 0.9728 2022/08/01 09:40:56 - mmengine - INFO - Epoch(train) [50][580/940] lr: 1.0000e-03 eta: 10:10:35 time: 0.7046 data_time: 0.0370 memory: 13619 grad_norm: 4.2062 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0838 loss: 1.0838 2022/08/01 09:41:14 - mmengine - INFO - Epoch(train) [50][600/940] lr: 1.0000e-03 eta: 10:10:22 time: 0.9116 data_time: 0.0419 memory: 13619 grad_norm: 4.1059 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9249 loss: 0.9249 2022/08/01 09:41:28 - mmengine - INFO - Epoch(train) [50][620/940] lr: 1.0000e-03 eta: 10:10:05 time: 0.6889 data_time: 0.0344 memory: 13619 grad_norm: 4.2437 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9667 loss: 0.9667 2022/08/01 09:41:45 - mmengine - INFO - Epoch(train) [50][640/940] lr: 1.0000e-03 eta: 10:09:51 time: 0.8622 data_time: 0.0555 memory: 13619 grad_norm: 4.2038 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9358 loss: 0.9358 2022/08/01 09:41:58 - mmengine - INFO - Epoch(train) [50][660/940] lr: 1.0000e-03 eta: 10:09:33 time: 0.6387 data_time: 0.0401 memory: 13619 grad_norm: 4.2327 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.0685 loss: 1.0685 2022/08/01 09:42:15 - mmengine - INFO - Epoch(train) [50][680/940] lr: 1.0000e-03 eta: 10:09:19 time: 0.8524 data_time: 0.0414 memory: 13619 grad_norm: 4.1508 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9528 loss: 0.9528 2022/08/01 09:42:29 - mmengine - INFO - Epoch(train) [50][700/940] lr: 1.0000e-03 eta: 10:09:01 time: 0.6753 data_time: 0.0400 memory: 13619 grad_norm: 4.1845 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9282 loss: 0.9282 2022/08/01 09:42:45 - mmengine - INFO - Epoch(train) [50][720/940] lr: 1.0000e-03 eta: 10:08:47 time: 0.7988 data_time: 0.0742 memory: 13619 grad_norm: 4.1242 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9867 loss: 0.9867 2022/08/01 09:42:59 - mmengine - INFO - Epoch(train) [50][740/940] lr: 1.0000e-03 eta: 10:08:30 time: 0.7237 data_time: 0.0587 memory: 13619 grad_norm: 4.2082 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9334 loss: 0.9334 2022/08/01 09:43:14 - mmengine - INFO - Epoch(train) [50][760/940] lr: 1.0000e-03 eta: 10:08:14 time: 0.7549 data_time: 0.1487 memory: 13619 grad_norm: 4.1558 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0180 loss: 1.0180 2022/08/01 09:43:30 - mmengine - INFO - Epoch(train) [50][780/940] lr: 1.0000e-03 eta: 10:07:59 time: 0.7757 data_time: 0.2924 memory: 13619 grad_norm: 4.3644 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0708 loss: 1.0708 2022/08/01 09:43:45 - mmengine - INFO - Epoch(train) [50][800/940] lr: 1.0000e-03 eta: 10:07:43 time: 0.7621 data_time: 0.0834 memory: 13619 grad_norm: 4.3173 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0067 loss: 1.0067 2022/08/01 09:44:00 - mmengine - INFO - Epoch(train) [50][820/940] lr: 1.0000e-03 eta: 10:07:27 time: 0.7396 data_time: 0.1114 memory: 13619 grad_norm: 4.1257 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0507 loss: 1.0507 2022/08/01 09:44:16 - mmengine - INFO - Epoch(train) [50][840/940] lr: 1.0000e-03 eta: 10:07:13 time: 0.8288 data_time: 0.0761 memory: 13619 grad_norm: 4.2390 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9641 loss: 0.9641 2022/08/01 09:44:30 - mmengine - INFO - Epoch(train) [50][860/940] lr: 1.0000e-03 eta: 10:06:55 time: 0.6935 data_time: 0.0373 memory: 13619 grad_norm: 4.2270 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0568 loss: 1.0568 2022/08/01 09:44:47 - mmengine - INFO - Epoch(train) [50][880/940] lr: 1.0000e-03 eta: 10:06:42 time: 0.8533 data_time: 0.0412 memory: 13619 grad_norm: 4.1815 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9838 loss: 0.9838 2022/08/01 09:45:02 - mmengine - INFO - Epoch(train) [50][900/940] lr: 1.0000e-03 eta: 10:06:25 time: 0.7061 data_time: 0.0387 memory: 13619 grad_norm: 4.1229 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0104 loss: 1.0104 2022/08/01 09:45:17 - mmengine - INFO - Epoch(train) [50][920/940] lr: 1.0000e-03 eta: 10:06:09 time: 0.7758 data_time: 0.0399 memory: 13619 grad_norm: 4.1820 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0109 loss: 1.0109 2022/08/01 09:45:29 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 09:45:29 - mmengine - INFO - Epoch(train) [50][940/940] lr: 1.0000e-03 eta: 10:05:50 time: 0.5756 data_time: 0.0377 memory: 13619 grad_norm: 4.4131 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9968 loss: 0.9968 2022/08/01 09:45:46 - mmengine - INFO - Epoch(val) [50][20/78] eta: 0:00:50 time: 0.8699 data_time: 0.7759 memory: 2186 2022/08/01 09:45:58 - mmengine - INFO - Epoch(val) [50][40/78] eta: 0:00:22 time: 0.5883 data_time: 0.4901 memory: 2186 2022/08/01 09:46:14 - mmengine - INFO - Epoch(val) [50][60/78] eta: 0:00:14 time: 0.8086 data_time: 0.7138 memory: 2186 2022/08/01 09:46:28 - mmengine - INFO - Epoch(val) [50][78/78] acc/top1: 0.7041 acc/top5: 0.8937 acc/mean1: 0.7040 2022/08/01 09:46:48 - mmengine - INFO - Epoch(train) [51][20/940] lr: 1.0000e-03 eta: 10:05:38 time: 0.9636 data_time: 0.5110 memory: 13619 grad_norm: 4.2223 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0145 loss: 1.0145 2022/08/01 09:47:02 - mmengine - INFO - Epoch(train) [51][40/940] lr: 1.0000e-03 eta: 10:05:21 time: 0.7062 data_time: 0.2398 memory: 13619 grad_norm: 4.2023 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9746 loss: 0.9746 2022/08/01 09:47:19 - mmengine - INFO - Epoch(train) [51][60/940] lr: 1.0000e-03 eta: 10:05:07 time: 0.8422 data_time: 0.1959 memory: 13619 grad_norm: 4.2722 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0329 loss: 1.0329 2022/08/01 09:47:32 - mmengine - INFO - Epoch(train) [51][80/940] lr: 1.0000e-03 eta: 10:04:50 time: 0.6668 data_time: 0.1922 memory: 13619 grad_norm: 4.2164 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9486 loss: 0.9486 2022/08/01 09:47:48 - mmengine - INFO - Epoch(train) [51][100/940] lr: 1.0000e-03 eta: 10:04:35 time: 0.8195 data_time: 0.2600 memory: 13619 grad_norm: 4.1507 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0215 loss: 1.0215 2022/08/01 09:48:03 - mmengine - INFO - Epoch(train) [51][120/940] lr: 1.0000e-03 eta: 10:04:19 time: 0.7366 data_time: 0.1699 memory: 13619 grad_norm: 4.2190 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0412 loss: 1.0412 2022/08/01 09:48:20 - mmengine - INFO - Epoch(train) [51][140/940] lr: 1.0000e-03 eta: 10:04:05 time: 0.8291 data_time: 0.0425 memory: 13619 grad_norm: 4.2031 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9884 loss: 0.9884 2022/08/01 09:48:33 - mmengine - INFO - Epoch(train) [51][160/940] lr: 1.0000e-03 eta: 10:03:47 time: 0.6797 data_time: 0.0337 memory: 13619 grad_norm: 4.1085 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9591 loss: 0.9591 2022/08/01 09:48:49 - mmengine - INFO - Epoch(train) [51][180/940] lr: 1.0000e-03 eta: 10:03:32 time: 0.7963 data_time: 0.0365 memory: 13619 grad_norm: 4.2814 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9347 loss: 0.9347 2022/08/01 09:49:03 - mmengine - INFO - Epoch(train) [51][200/940] lr: 1.0000e-03 eta: 10:03:15 time: 0.6885 data_time: 0.0333 memory: 13619 grad_norm: 4.3094 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9224 loss: 0.9224 2022/08/01 09:49:20 - mmengine - INFO - Epoch(train) [51][220/940] lr: 1.0000e-03 eta: 10:03:01 time: 0.8615 data_time: 0.0483 memory: 13619 grad_norm: 4.1814 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9118 loss: 0.9118 2022/08/01 09:49:34 - mmengine - INFO - Epoch(train) [51][240/940] lr: 1.0000e-03 eta: 10:02:44 time: 0.6635 data_time: 0.0329 memory: 13619 grad_norm: 4.3089 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9810 loss: 0.9810 2022/08/01 09:49:51 - mmengine - INFO - Epoch(train) [51][260/940] lr: 1.0000e-03 eta: 10:02:30 time: 0.8504 data_time: 0.0404 memory: 13619 grad_norm: 4.2140 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0043 loss: 1.0043 2022/08/01 09:50:04 - mmengine - INFO - Epoch(train) [51][280/940] lr: 1.0000e-03 eta: 10:02:13 time: 0.6855 data_time: 0.0343 memory: 13619 grad_norm: 4.1686 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9631 loss: 0.9631 2022/08/01 09:50:21 - mmengine - INFO - Epoch(train) [51][300/940] lr: 1.0000e-03 eta: 10:01:59 time: 0.8494 data_time: 0.0349 memory: 13619 grad_norm: 3.9867 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9236 loss: 0.9236 2022/08/01 09:50:36 - mmengine - INFO - Epoch(train) [51][320/940] lr: 1.0000e-03 eta: 10:01:42 time: 0.7267 data_time: 0.0356 memory: 13619 grad_norm: 4.1318 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0567 loss: 1.0567 2022/08/01 09:50:53 - mmengine - INFO - Epoch(train) [51][340/940] lr: 1.0000e-03 eta: 10:01:29 time: 0.8787 data_time: 0.0383 memory: 13619 grad_norm: 4.1970 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1254 loss: 1.1254 2022/08/01 09:51:06 - mmengine - INFO - Epoch(train) [51][360/940] lr: 1.0000e-03 eta: 10:01:11 time: 0.6434 data_time: 0.0325 memory: 13619 grad_norm: 4.2665 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9059 loss: 0.9059 2022/08/01 09:51:24 - mmengine - INFO - Epoch(train) [51][380/940] lr: 1.0000e-03 eta: 10:00:58 time: 0.8822 data_time: 0.0377 memory: 13619 grad_norm: 4.2030 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9926 loss: 0.9926 2022/08/01 09:51:37 - mmengine - INFO - Epoch(train) [51][400/940] lr: 1.0000e-03 eta: 10:00:39 time: 0.6377 data_time: 0.0327 memory: 13619 grad_norm: 4.2806 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0058 loss: 1.0058 2022/08/01 09:51:54 - mmengine - INFO - Epoch(train) [51][420/940] lr: 1.0000e-03 eta: 10:00:26 time: 0.8560 data_time: 0.0393 memory: 13619 grad_norm: 4.1986 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9950 loss: 0.9950 2022/08/01 09:52:07 - mmengine - INFO - Epoch(train) [51][440/940] lr: 1.0000e-03 eta: 10:00:08 time: 0.6509 data_time: 0.0376 memory: 13619 grad_norm: 4.1254 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9903 loss: 0.9903 2022/08/01 09:52:24 - mmengine - INFO - Epoch(train) [51][460/940] lr: 1.0000e-03 eta: 9:59:54 time: 0.8440 data_time: 0.0360 memory: 13619 grad_norm: 4.2572 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9039 loss: 0.9039 2022/08/01 09:52:37 - mmengine - INFO - Epoch(train) [51][480/940] lr: 1.0000e-03 eta: 9:59:36 time: 0.6458 data_time: 0.0333 memory: 13619 grad_norm: 4.2175 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0468 loss: 1.0468 2022/08/01 09:52:54 - mmengine - INFO - Epoch(train) [51][500/940] lr: 1.0000e-03 eta: 9:59:22 time: 0.8896 data_time: 0.0357 memory: 13619 grad_norm: 4.0806 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9780 loss: 0.9780 2022/08/01 09:53:08 - mmengine - INFO - Epoch(train) [51][520/940] lr: 1.0000e-03 eta: 9:59:05 time: 0.6860 data_time: 0.0391 memory: 13619 grad_norm: 4.2614 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9700 loss: 0.9700 2022/08/01 09:53:25 - mmengine - INFO - Epoch(train) [51][540/940] lr: 1.0000e-03 eta: 9:58:51 time: 0.8179 data_time: 0.0401 memory: 13619 grad_norm: 4.2141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0220 loss: 1.0220 2022/08/01 09:53:38 - mmengine - INFO - Epoch(train) [51][560/940] lr: 1.0000e-03 eta: 9:58:33 time: 0.6542 data_time: 0.0469 memory: 13619 grad_norm: 4.2691 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0833 loss: 1.0833 2022/08/01 09:53:55 - mmengine - INFO - Epoch(train) [51][580/940] lr: 1.0000e-03 eta: 9:58:20 time: 0.8829 data_time: 0.0527 memory: 13619 grad_norm: 4.3198 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0598 loss: 1.0598 2022/08/01 09:54:09 - mmengine - INFO - Epoch(train) [51][600/940] lr: 1.0000e-03 eta: 9:58:02 time: 0.6919 data_time: 0.0376 memory: 13619 grad_norm: 4.1112 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9984 loss: 0.9984 2022/08/01 09:54:26 - mmengine - INFO - Epoch(train) [51][620/940] lr: 1.0000e-03 eta: 9:57:48 time: 0.8226 data_time: 0.0406 memory: 13619 grad_norm: 4.2243 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9090 loss: 0.9090 2022/08/01 09:54:39 - mmengine - INFO - Epoch(train) [51][640/940] lr: 1.0000e-03 eta: 9:57:30 time: 0.6562 data_time: 0.0482 memory: 13619 grad_norm: 4.2283 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0847 loss: 1.0847 2022/08/01 09:54:56 - mmengine - INFO - Epoch(train) [51][660/940] lr: 1.0000e-03 eta: 9:57:16 time: 0.8450 data_time: 0.0418 memory: 13619 grad_norm: 4.2060 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8945 loss: 0.8945 2022/08/01 09:55:09 - mmengine - INFO - Epoch(train) [51][680/940] lr: 1.0000e-03 eta: 9:56:59 time: 0.6804 data_time: 0.0390 memory: 13619 grad_norm: 4.2497 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9696 loss: 0.9696 2022/08/01 09:55:26 - mmengine - INFO - Epoch(train) [51][700/940] lr: 1.0000e-03 eta: 9:56:44 time: 0.8303 data_time: 0.0407 memory: 13619 grad_norm: 4.1874 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9872 loss: 0.9872 2022/08/01 09:55:40 - mmengine - INFO - Epoch(train) [51][720/940] lr: 1.0000e-03 eta: 9:56:28 time: 0.7032 data_time: 0.0399 memory: 13619 grad_norm: 4.1495 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0391 loss: 1.0391 2022/08/01 09:55:56 - mmengine - INFO - Epoch(train) [51][740/940] lr: 1.0000e-03 eta: 9:56:13 time: 0.8231 data_time: 0.0398 memory: 13619 grad_norm: 4.0627 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8528 loss: 0.8528 2022/08/01 09:56:11 - mmengine - INFO - Epoch(train) [51][760/940] lr: 1.0000e-03 eta: 9:55:57 time: 0.7146 data_time: 0.0385 memory: 13619 grad_norm: 4.2268 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9605 loss: 0.9605 2022/08/01 09:56:29 - mmengine - INFO - Epoch(train) [51][780/940] lr: 1.0000e-03 eta: 9:55:44 time: 0.9001 data_time: 0.0379 memory: 13619 grad_norm: 4.1892 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9923 loss: 0.9923 2022/08/01 09:56:42 - mmengine - INFO - Epoch(train) [51][800/940] lr: 1.0000e-03 eta: 9:55:26 time: 0.6463 data_time: 0.0402 memory: 13619 grad_norm: 4.2070 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9370 loss: 0.9370 2022/08/01 09:56:59 - mmengine - INFO - Epoch(train) [51][820/940] lr: 1.0000e-03 eta: 9:55:12 time: 0.8559 data_time: 0.0388 memory: 13619 grad_norm: 4.2109 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8799 loss: 0.8799 2022/08/01 09:57:12 - mmengine - INFO - Epoch(train) [51][840/940] lr: 1.0000e-03 eta: 9:54:54 time: 0.6394 data_time: 0.0398 memory: 13619 grad_norm: 4.2250 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9336 loss: 0.9336 2022/08/01 09:57:28 - mmengine - INFO - Epoch(train) [51][860/940] lr: 1.0000e-03 eta: 9:54:39 time: 0.8032 data_time: 0.0413 memory: 13619 grad_norm: 4.2563 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.9920 loss: 0.9920 2022/08/01 09:57:42 - mmengine - INFO - Epoch(train) [51][880/940] lr: 1.0000e-03 eta: 9:54:22 time: 0.7111 data_time: 0.0409 memory: 13619 grad_norm: 4.2724 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0295 loss: 1.0295 2022/08/01 09:58:00 - mmengine - INFO - Epoch(train) [51][900/940] lr: 1.0000e-03 eta: 9:54:10 time: 0.9241 data_time: 0.0400 memory: 13619 grad_norm: 4.2257 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1334 loss: 1.1334 2022/08/01 09:58:13 - mmengine - INFO - Epoch(train) [51][920/940] lr: 1.0000e-03 eta: 9:53:51 time: 0.6274 data_time: 0.0354 memory: 13619 grad_norm: 4.1208 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9639 loss: 0.9639 2022/08/01 09:58:27 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 09:58:27 - mmengine - INFO - Epoch(train) [51][940/940] lr: 1.0000e-03 eta: 9:53:35 time: 0.7299 data_time: 0.0448 memory: 13619 grad_norm: 4.6807 top1_acc: 0.0000 top5_acc: 0.8571 loss_cls: 1.0703 loss: 1.0703 2022/08/01 09:58:28 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/08/01 09:58:48 - mmengine - INFO - Epoch(val) [51][20/78] eta: 0:00:50 time: 0.8741 data_time: 0.7836 memory: 2186 2022/08/01 09:58:59 - mmengine - INFO - Epoch(val) [51][40/78] eta: 0:00:22 time: 0.5900 data_time: 0.4986 memory: 2186 2022/08/01 09:59:17 - mmengine - INFO - Epoch(val) [51][60/78] eta: 0:00:15 time: 0.8612 data_time: 0.7700 memory: 2186 2022/08/01 09:59:28 - mmengine - INFO - Epoch(val) [51][78/78] acc/top1: 0.7058 acc/top5: 0.8935 acc/mean1: 0.7057 2022/08/01 09:59:28 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_50.pth is removed 2022/08/01 09:59:30 - mmengine - INFO - The best checkpoint with 0.7058 acc/top1 at 52 epoch is saved to best_acc/top1_epoch_52.pth. 2022/08/01 09:59:49 - mmengine - INFO - Epoch(train) [52][20/940] lr: 1.0000e-03 eta: 9:53:23 time: 0.9319 data_time: 0.6431 memory: 13619 grad_norm: 4.2014 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9328 loss: 0.9328 2022/08/01 10:00:03 - mmengine - INFO - Epoch(train) [52][40/940] lr: 1.0000e-03 eta: 9:53:05 time: 0.6878 data_time: 0.3989 memory: 13619 grad_norm: 4.0868 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9901 loss: 0.9901 2022/08/01 10:00:20 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 10:00:20 - mmengine - INFO - Epoch(train) [52][60/940] lr: 1.0000e-03 eta: 9:52:52 time: 0.8588 data_time: 0.5478 memory: 13619 grad_norm: 4.0343 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9661 loss: 0.9661 2022/08/01 10:00:35 - mmengine - INFO - Epoch(train) [52][80/940] lr: 1.0000e-03 eta: 9:52:35 time: 0.7344 data_time: 0.4254 memory: 13619 grad_norm: 4.1709 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9276 loss: 0.9276 2022/08/01 10:00:51 - mmengine - INFO - Epoch(train) [52][100/940] lr: 1.0000e-03 eta: 9:52:21 time: 0.8274 data_time: 0.5168 memory: 13619 grad_norm: 4.1760 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9944 loss: 0.9944 2022/08/01 10:01:06 - mmengine - INFO - Epoch(train) [52][120/940] lr: 1.0000e-03 eta: 9:52:05 time: 0.7318 data_time: 0.4111 memory: 13619 grad_norm: 4.2039 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9511 loss: 0.9511 2022/08/01 10:01:21 - mmengine - INFO - Epoch(train) [52][140/940] lr: 1.0000e-03 eta: 9:51:49 time: 0.7477 data_time: 0.3952 memory: 13619 grad_norm: 4.2752 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0349 loss: 1.0349 2022/08/01 10:01:35 - mmengine - INFO - Epoch(train) [52][160/940] lr: 1.0000e-03 eta: 9:51:32 time: 0.6932 data_time: 0.3793 memory: 13619 grad_norm: 4.2051 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9795 loss: 0.9795 2022/08/01 10:01:52 - mmengine - INFO - Epoch(train) [52][180/940] lr: 1.0000e-03 eta: 9:51:18 time: 0.8486 data_time: 0.5395 memory: 13619 grad_norm: 4.1253 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.8429 loss: 0.8429 2022/08/01 10:02:05 - mmengine - INFO - Epoch(train) [52][200/940] lr: 1.0000e-03 eta: 9:51:00 time: 0.6748 data_time: 0.3602 memory: 13619 grad_norm: 4.2618 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0630 loss: 1.0630 2022/08/01 10:02:23 - mmengine - INFO - Epoch(train) [52][220/940] lr: 1.0000e-03 eta: 9:50:47 time: 0.8743 data_time: 0.5730 memory: 13619 grad_norm: 4.1914 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0469 loss: 1.0469 2022/08/01 10:02:37 - mmengine - INFO - Epoch(train) [52][240/940] lr: 1.0000e-03 eta: 9:50:30 time: 0.7152 data_time: 0.4187 memory: 13619 grad_norm: 4.2367 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9679 loss: 0.9679 2022/08/01 10:02:55 - mmengine - INFO - Epoch(train) [52][260/940] lr: 1.0000e-03 eta: 9:50:17 time: 0.8879 data_time: 0.5815 memory: 13619 grad_norm: 4.1994 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0073 loss: 1.0073 2022/08/01 10:03:08 - mmengine - INFO - Epoch(train) [52][280/940] lr: 1.0000e-03 eta: 9:50:00 time: 0.6753 data_time: 0.3617 memory: 13619 grad_norm: 4.2086 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9309 loss: 0.9309 2022/08/01 10:03:26 - mmengine - INFO - Epoch(train) [52][300/940] lr: 1.0000e-03 eta: 9:49:46 time: 0.8900 data_time: 0.5504 memory: 13619 grad_norm: 4.2384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9518 loss: 0.9518 2022/08/01 10:03:39 - mmengine - INFO - Epoch(train) [52][320/940] lr: 1.0000e-03 eta: 9:49:28 time: 0.6243 data_time: 0.3243 memory: 13619 grad_norm: 4.2525 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8942 loss: 0.8942 2022/08/01 10:03:56 - mmengine - INFO - Epoch(train) [52][340/940] lr: 1.0000e-03 eta: 9:49:14 time: 0.8493 data_time: 0.5330 memory: 13619 grad_norm: 4.2937 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9027 loss: 0.9027 2022/08/01 10:04:10 - mmengine - INFO - Epoch(train) [52][360/940] lr: 1.0000e-03 eta: 9:48:57 time: 0.7064 data_time: 0.3734 memory: 13619 grad_norm: 4.1466 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/08/01 10:04:28 - mmengine - INFO - Epoch(train) [52][380/940] lr: 1.0000e-03 eta: 9:48:44 time: 0.9000 data_time: 0.5673 memory: 13619 grad_norm: 4.1576 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.0358 loss: 1.0358 2022/08/01 10:04:40 - mmengine - INFO - Epoch(train) [52][400/940] lr: 1.0000e-03 eta: 9:48:26 time: 0.5960 data_time: 0.2868 memory: 13619 grad_norm: 4.1717 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0059 loss: 1.0059 2022/08/01 10:04:57 - mmengine - INFO - Epoch(train) [52][420/940] lr: 1.0000e-03 eta: 9:48:12 time: 0.8547 data_time: 0.4885 memory: 13619 grad_norm: 4.3088 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0949 loss: 1.0949 2022/08/01 10:05:10 - mmengine - INFO - Epoch(train) [52][440/940] lr: 1.0000e-03 eta: 9:47:54 time: 0.6723 data_time: 0.3458 memory: 13619 grad_norm: 4.3008 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0151 loss: 1.0151 2022/08/01 10:05:27 - mmengine - INFO - Epoch(train) [52][460/940] lr: 1.0000e-03 eta: 9:47:40 time: 0.8396 data_time: 0.4622 memory: 13619 grad_norm: 4.2749 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9452 loss: 0.9452 2022/08/01 10:05:41 - mmengine - INFO - Epoch(train) [52][480/940] lr: 1.0000e-03 eta: 9:47:23 time: 0.6840 data_time: 0.3026 memory: 13619 grad_norm: 4.2829 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0826 loss: 1.0826 2022/08/01 10:05:57 - mmengine - INFO - Epoch(train) [52][500/940] lr: 1.0000e-03 eta: 9:47:08 time: 0.8267 data_time: 0.4543 memory: 13619 grad_norm: 4.1908 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9822 loss: 0.9822 2022/08/01 10:06:11 - mmengine - INFO - Epoch(train) [52][520/940] lr: 1.0000e-03 eta: 9:46:51 time: 0.6914 data_time: 0.3483 memory: 13619 grad_norm: 4.2322 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0450 loss: 1.0450 2022/08/01 10:06:27 - mmengine - INFO - Epoch(train) [52][540/940] lr: 1.0000e-03 eta: 9:46:37 time: 0.8177 data_time: 0.3742 memory: 13619 grad_norm: 4.2067 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9250 loss: 0.9250 2022/08/01 10:06:42 - mmengine - INFO - Epoch(train) [52][560/940] lr: 1.0000e-03 eta: 9:46:21 time: 0.7299 data_time: 0.2539 memory: 13619 grad_norm: 4.0726 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0346 loss: 1.0346 2022/08/01 10:06:58 - mmengine - INFO - Epoch(train) [52][580/940] lr: 1.0000e-03 eta: 9:46:06 time: 0.8001 data_time: 0.2897 memory: 13619 grad_norm: 4.2592 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9260 loss: 0.9260 2022/08/01 10:07:14 - mmengine - INFO - Epoch(train) [52][600/940] lr: 1.0000e-03 eta: 9:45:51 time: 0.7972 data_time: 0.1314 memory: 13619 grad_norm: 4.1619 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9533 loss: 0.9533 2022/08/01 10:07:29 - mmengine - INFO - Epoch(train) [52][620/940] lr: 1.0000e-03 eta: 9:45:35 time: 0.7582 data_time: 0.0633 memory: 13619 grad_norm: 4.2332 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9478 loss: 0.9478 2022/08/01 10:07:46 - mmengine - INFO - Epoch(train) [52][640/940] lr: 1.0000e-03 eta: 9:45:21 time: 0.8603 data_time: 0.0387 memory: 13619 grad_norm: 4.1688 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0079 loss: 1.0079 2022/08/01 10:08:00 - mmengine - INFO - Epoch(train) [52][660/940] lr: 1.0000e-03 eta: 9:45:04 time: 0.6932 data_time: 0.0602 memory: 13619 grad_norm: 4.1865 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.0683 loss: 1.0683 2022/08/01 10:08:15 - mmengine - INFO - Epoch(train) [52][680/940] lr: 1.0000e-03 eta: 9:44:47 time: 0.7101 data_time: 0.1136 memory: 13619 grad_norm: 4.1890 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9515 loss: 0.9515 2022/08/01 10:08:31 - mmengine - INFO - Epoch(train) [52][700/940] lr: 1.0000e-03 eta: 9:44:32 time: 0.8042 data_time: 0.3239 memory: 13619 grad_norm: 4.2650 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9378 loss: 0.9378 2022/08/01 10:08:45 - mmengine - INFO - Epoch(train) [52][720/940] lr: 1.0000e-03 eta: 9:44:16 time: 0.7367 data_time: 0.1820 memory: 13619 grad_norm: 4.2592 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.9476 loss: 0.9476 2022/08/01 10:09:01 - mmengine - INFO - Epoch(train) [52][740/940] lr: 1.0000e-03 eta: 9:44:01 time: 0.7689 data_time: 0.3617 memory: 13619 grad_norm: 4.1962 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8514 loss: 0.8514 2022/08/01 10:09:16 - mmengine - INFO - Epoch(train) [52][760/940] lr: 1.0000e-03 eta: 9:43:45 time: 0.7627 data_time: 0.2713 memory: 13619 grad_norm: 4.1800 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0413 loss: 1.0413 2022/08/01 10:09:32 - mmengine - INFO - Epoch(train) [52][780/940] lr: 1.0000e-03 eta: 9:43:30 time: 0.7862 data_time: 0.1669 memory: 13619 grad_norm: 4.2851 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9660 loss: 0.9660 2022/08/01 10:09:47 - mmengine - INFO - Epoch(train) [52][800/940] lr: 1.0000e-03 eta: 9:43:14 time: 0.7579 data_time: 0.0480 memory: 13619 grad_norm: 4.0824 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8937 loss: 0.8937 2022/08/01 10:10:03 - mmengine - INFO - Epoch(train) [52][820/940] lr: 1.0000e-03 eta: 9:42:59 time: 0.7828 data_time: 0.0711 memory: 13619 grad_norm: 4.2437 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0435 loss: 1.0435 2022/08/01 10:10:18 - mmengine - INFO - Epoch(train) [52][840/940] lr: 1.0000e-03 eta: 9:42:44 time: 0.7881 data_time: 0.1372 memory: 13619 grad_norm: 4.2599 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9841 loss: 0.9841 2022/08/01 10:10:33 - mmengine - INFO - Epoch(train) [52][860/940] lr: 1.0000e-03 eta: 9:42:27 time: 0.7195 data_time: 0.0624 memory: 13619 grad_norm: 4.3312 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0705 loss: 1.0705 2022/08/01 10:10:48 - mmengine - INFO - Epoch(train) [52][880/940] lr: 1.0000e-03 eta: 9:42:12 time: 0.7663 data_time: 0.0860 memory: 13619 grad_norm: 4.1885 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0041 loss: 1.0041 2022/08/01 10:11:04 - mmengine - INFO - Epoch(train) [52][900/940] lr: 1.0000e-03 eta: 9:41:57 time: 0.7915 data_time: 0.3629 memory: 13619 grad_norm: 4.2525 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9313 loss: 0.9313 2022/08/01 10:11:19 - mmengine - INFO - Epoch(train) [52][920/940] lr: 1.0000e-03 eta: 9:41:40 time: 0.7420 data_time: 0.2638 memory: 13619 grad_norm: 4.1301 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9979 loss: 0.9979 2022/08/01 10:11:32 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 10:11:32 - mmengine - INFO - Epoch(train) [52][940/940] lr: 1.0000e-03 eta: 9:41:23 time: 0.6608 data_time: 0.2363 memory: 13619 grad_norm: 4.5229 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8344 loss: 0.8344 2022/08/01 10:11:49 - mmengine - INFO - Epoch(val) [52][20/78] eta: 0:00:49 time: 0.8516 data_time: 0.7562 memory: 2186 2022/08/01 10:12:01 - mmengine - INFO - Epoch(val) [52][40/78] eta: 0:00:23 time: 0.6075 data_time: 0.4997 memory: 2186 2022/08/01 10:12:17 - mmengine - INFO - Epoch(val) [52][60/78] eta: 0:00:14 time: 0.8102 data_time: 0.7159 memory: 2186 2022/08/01 10:12:31 - mmengine - INFO - Epoch(val) [52][78/78] acc/top1: 0.7027 acc/top5: 0.8930 acc/mean1: 0.7026 2022/08/01 10:12:50 - mmengine - INFO - Epoch(train) [53][20/940] lr: 1.0000e-03 eta: 9:41:11 time: 0.9844 data_time: 0.6634 memory: 13619 grad_norm: 4.2589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0483 loss: 1.0483 2022/08/01 10:13:03 - mmengine - INFO - Epoch(train) [53][40/940] lr: 1.0000e-03 eta: 9:40:53 time: 0.6361 data_time: 0.3012 memory: 13619 grad_norm: 4.1986 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9606 loss: 0.9606 2022/08/01 10:13:20 - mmengine - INFO - Epoch(train) [53][60/940] lr: 1.0000e-03 eta: 9:40:40 time: 0.8604 data_time: 0.4323 memory: 13619 grad_norm: 4.2234 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0072 loss: 1.0072 2022/08/01 10:13:34 - mmengine - INFO - Epoch(train) [53][80/940] lr: 1.0000e-03 eta: 9:40:23 time: 0.6967 data_time: 0.2453 memory: 13619 grad_norm: 4.2700 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0415 loss: 1.0415 2022/08/01 10:13:51 - mmengine - INFO - Epoch(train) [53][100/940] lr: 1.0000e-03 eta: 9:40:08 time: 0.8368 data_time: 0.2525 memory: 13619 grad_norm: 4.2591 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9989 loss: 0.9989 2022/08/01 10:14:04 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 10:14:04 - mmengine - INFO - Epoch(train) [53][120/940] lr: 1.0000e-03 eta: 9:39:51 time: 0.6628 data_time: 0.1891 memory: 13619 grad_norm: 4.1969 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9488 loss: 0.9488 2022/08/01 10:14:21 - mmengine - INFO - Epoch(train) [53][140/940] lr: 1.0000e-03 eta: 9:39:36 time: 0.8189 data_time: 0.3130 memory: 13619 grad_norm: 4.1886 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0118 loss: 1.0118 2022/08/01 10:14:34 - mmengine - INFO - Epoch(train) [53][160/940] lr: 1.0000e-03 eta: 9:39:19 time: 0.6756 data_time: 0.3466 memory: 13619 grad_norm: 4.2661 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0060 loss: 1.0060 2022/08/01 10:14:52 - mmengine - INFO - Epoch(train) [53][180/940] lr: 1.0000e-03 eta: 9:39:05 time: 0.8783 data_time: 0.5135 memory: 13619 grad_norm: 4.2200 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0196 loss: 1.0196 2022/08/01 10:15:06 - mmengine - INFO - Epoch(train) [53][200/940] lr: 1.0000e-03 eta: 9:38:49 time: 0.7305 data_time: 0.3674 memory: 13619 grad_norm: 4.1265 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0697 loss: 1.0697 2022/08/01 10:15:22 - mmengine - INFO - Epoch(train) [53][220/940] lr: 1.0000e-03 eta: 9:38:34 time: 0.8013 data_time: 0.4198 memory: 13619 grad_norm: 4.2910 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9589 loss: 0.9589 2022/08/01 10:15:38 - mmengine - INFO - Epoch(train) [53][240/940] lr: 1.0000e-03 eta: 9:38:19 time: 0.7601 data_time: 0.3019 memory: 13619 grad_norm: 4.2160 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9679 loss: 0.9679 2022/08/01 10:15:53 - mmengine - INFO - Epoch(train) [53][260/940] lr: 1.0000e-03 eta: 9:38:03 time: 0.7563 data_time: 0.0884 memory: 13619 grad_norm: 4.2607 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0040 loss: 1.0040 2022/08/01 10:16:10 - mmengine - INFO - Epoch(train) [53][280/940] lr: 1.0000e-03 eta: 9:37:49 time: 0.8447 data_time: 0.0358 memory: 13619 grad_norm: 4.2159 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9856 loss: 0.9856 2022/08/01 10:16:24 - mmengine - INFO - Epoch(train) [53][300/940] lr: 1.0000e-03 eta: 9:37:33 time: 0.7372 data_time: 0.0337 memory: 13619 grad_norm: 4.2663 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9904 loss: 0.9904 2022/08/01 10:16:41 - mmengine - INFO - Epoch(train) [53][320/940] lr: 1.0000e-03 eta: 9:37:18 time: 0.8159 data_time: 0.0448 memory: 13619 grad_norm: 4.1613 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9637 loss: 0.9637 2022/08/01 10:16:56 - mmengine - INFO - Epoch(train) [53][340/940] lr: 1.0000e-03 eta: 9:37:02 time: 0.7517 data_time: 0.0346 memory: 13619 grad_norm: 4.2026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0930 loss: 1.0930 2022/08/01 10:17:12 - mmengine - INFO - Epoch(train) [53][360/940] lr: 1.0000e-03 eta: 9:36:48 time: 0.8318 data_time: 0.0400 memory: 13619 grad_norm: 4.3560 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9548 loss: 0.9548 2022/08/01 10:17:26 - mmengine - INFO - Epoch(train) [53][380/940] lr: 1.0000e-03 eta: 9:36:30 time: 0.6725 data_time: 0.0326 memory: 13619 grad_norm: 4.1896 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.0495 loss: 1.0495 2022/08/01 10:17:42 - mmengine - INFO - Epoch(train) [53][400/940] lr: 1.0000e-03 eta: 9:36:16 time: 0.8249 data_time: 0.0365 memory: 13619 grad_norm: 4.2307 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9150 loss: 0.9150 2022/08/01 10:17:57 - mmengine - INFO - Epoch(train) [53][420/940] lr: 1.0000e-03 eta: 9:36:00 time: 0.7396 data_time: 0.0363 memory: 13619 grad_norm: 4.2322 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9392 loss: 0.9392 2022/08/01 10:18:13 - mmengine - INFO - Epoch(train) [53][440/940] lr: 1.0000e-03 eta: 9:35:44 time: 0.7747 data_time: 0.0437 memory: 13619 grad_norm: 4.2607 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9264 loss: 0.9264 2022/08/01 10:18:28 - mmengine - INFO - Epoch(train) [53][460/940] lr: 1.0000e-03 eta: 9:35:28 time: 0.7573 data_time: 0.0343 memory: 13619 grad_norm: 4.1184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0043 loss: 1.0043 2022/08/01 10:18:42 - mmengine - INFO - Epoch(train) [53][480/940] lr: 1.0000e-03 eta: 9:35:12 time: 0.7245 data_time: 0.0554 memory: 13619 grad_norm: 4.2535 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 0.9937 loss: 0.9937 2022/08/01 10:18:59 - mmengine - INFO - Epoch(train) [53][500/940] lr: 1.0000e-03 eta: 9:34:58 time: 0.8293 data_time: 0.0389 memory: 13619 grad_norm: 4.3255 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9977 loss: 0.9977 2022/08/01 10:19:13 - mmengine - INFO - Epoch(train) [53][520/940] lr: 1.0000e-03 eta: 9:34:41 time: 0.6853 data_time: 0.0390 memory: 13619 grad_norm: 4.2954 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0650 loss: 1.0650 2022/08/01 10:19:29 - mmengine - INFO - Epoch(train) [53][540/940] lr: 1.0000e-03 eta: 9:34:26 time: 0.7947 data_time: 0.0402 memory: 13619 grad_norm: 4.2978 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0121 loss: 1.0121 2022/08/01 10:19:43 - mmengine - INFO - Epoch(train) [53][560/940] lr: 1.0000e-03 eta: 9:34:09 time: 0.7194 data_time: 0.0458 memory: 13619 grad_norm: 4.1873 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8772 loss: 0.8772 2022/08/01 10:19:59 - mmengine - INFO - Epoch(train) [53][580/940] lr: 1.0000e-03 eta: 9:33:54 time: 0.7914 data_time: 0.0370 memory: 13619 grad_norm: 4.2015 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9085 loss: 0.9085 2022/08/01 10:20:14 - mmengine - INFO - Epoch(train) [53][600/940] lr: 1.0000e-03 eta: 9:33:38 time: 0.7565 data_time: 0.0464 memory: 13619 grad_norm: 4.3190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9670 loss: 0.9670 2022/08/01 10:20:30 - mmengine - INFO - Epoch(train) [53][620/940] lr: 1.0000e-03 eta: 9:33:23 time: 0.7899 data_time: 0.0361 memory: 13619 grad_norm: 4.2659 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0010 loss: 1.0010 2022/08/01 10:20:45 - mmengine - INFO - Epoch(train) [53][640/940] lr: 1.0000e-03 eta: 9:33:07 time: 0.7405 data_time: 0.0298 memory: 13619 grad_norm: 4.2082 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9802 loss: 0.9802 2022/08/01 10:21:00 - mmengine - INFO - Epoch(train) [53][660/940] lr: 1.0000e-03 eta: 9:32:51 time: 0.7606 data_time: 0.0432 memory: 13619 grad_norm: 4.2678 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0387 loss: 1.0387 2022/08/01 10:21:17 - mmengine - INFO - Epoch(train) [53][680/940] lr: 1.0000e-03 eta: 9:32:37 time: 0.8504 data_time: 0.0526 memory: 13619 grad_norm: 4.3227 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9559 loss: 0.9559 2022/08/01 10:21:30 - mmengine - INFO - Epoch(train) [53][700/940] lr: 1.0000e-03 eta: 9:32:20 time: 0.6516 data_time: 0.0406 memory: 13619 grad_norm: 4.2514 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0054 loss: 1.0054 2022/08/01 10:21:47 - mmengine - INFO - Epoch(train) [53][720/940] lr: 1.0000e-03 eta: 9:32:06 time: 0.8472 data_time: 0.0355 memory: 13619 grad_norm: 4.2151 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0220 loss: 1.0220 2022/08/01 10:22:00 - mmengine - INFO - Epoch(train) [53][740/940] lr: 1.0000e-03 eta: 9:31:48 time: 0.6687 data_time: 0.0421 memory: 13619 grad_norm: 4.3667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0226 loss: 1.0226 2022/08/01 10:22:18 - mmengine - INFO - Epoch(train) [53][760/940] lr: 1.0000e-03 eta: 9:31:35 time: 0.8878 data_time: 0.0424 memory: 13619 grad_norm: 4.2619 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0116 loss: 1.0116 2022/08/01 10:22:32 - mmengine - INFO - Epoch(train) [53][780/940] lr: 1.0000e-03 eta: 9:31:18 time: 0.6883 data_time: 0.0361 memory: 13619 grad_norm: 4.2689 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0232 loss: 1.0232 2022/08/01 10:22:47 - mmengine - INFO - Epoch(train) [53][800/940] lr: 1.0000e-03 eta: 9:31:02 time: 0.7737 data_time: 0.0371 memory: 13619 grad_norm: 4.1555 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8801 loss: 0.8801 2022/08/01 10:23:02 - mmengine - INFO - Epoch(train) [53][820/940] lr: 1.0000e-03 eta: 9:30:47 time: 0.7564 data_time: 0.0361 memory: 13619 grad_norm: 4.2824 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9680 loss: 0.9680 2022/08/01 10:23:17 - mmengine - INFO - Epoch(train) [53][840/940] lr: 1.0000e-03 eta: 9:30:31 time: 0.7413 data_time: 0.0421 memory: 13619 grad_norm: 4.2608 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9724 loss: 0.9724 2022/08/01 10:23:32 - mmengine - INFO - Epoch(train) [53][860/940] lr: 1.0000e-03 eta: 9:30:15 time: 0.7588 data_time: 0.0389 memory: 13619 grad_norm: 4.2513 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8820 loss: 0.8820 2022/08/01 10:23:47 - mmengine - INFO - Epoch(train) [53][880/940] lr: 1.0000e-03 eta: 9:29:59 time: 0.7494 data_time: 0.0349 memory: 13619 grad_norm: 4.2318 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9440 loss: 0.9440 2022/08/01 10:24:04 - mmengine - INFO - Epoch(train) [53][900/940] lr: 1.0000e-03 eta: 9:29:44 time: 0.8186 data_time: 0.0353 memory: 13619 grad_norm: 4.3416 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0646 loss: 1.0646 2022/08/01 10:24:18 - mmengine - INFO - Epoch(train) [53][920/940] lr: 1.0000e-03 eta: 9:29:28 time: 0.7048 data_time: 0.0380 memory: 13619 grad_norm: 4.2570 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9420 loss: 0.9420 2022/08/01 10:24:31 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 10:24:31 - mmengine - INFO - Epoch(train) [53][940/940] lr: 1.0000e-03 eta: 9:29:10 time: 0.6397 data_time: 0.0346 memory: 13619 grad_norm: 4.4153 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.0494 loss: 1.0494 2022/08/01 10:24:48 - mmengine - INFO - Epoch(val) [53][20/78] eta: 0:00:49 time: 0.8596 data_time: 0.7661 memory: 2186 2022/08/01 10:25:00 - mmengine - INFO - Epoch(val) [53][40/78] eta: 0:00:22 time: 0.6016 data_time: 0.5055 memory: 2186 2022/08/01 10:25:16 - mmengine - INFO - Epoch(val) [53][60/78] eta: 0:00:14 time: 0.8075 data_time: 0.7117 memory: 2186 2022/08/01 10:25:30 - mmengine - INFO - Epoch(val) [53][78/78] acc/top1: 0.7065 acc/top5: 0.8931 acc/mean1: 0.7063 2022/08/01 10:25:30 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_52.pth is removed 2022/08/01 10:25:32 - mmengine - INFO - The best checkpoint with 0.7065 acc/top1 at 54 epoch is saved to best_acc/top1_epoch_54.pth. 2022/08/01 10:25:51 - mmengine - INFO - Epoch(train) [54][20/940] lr: 1.0000e-03 eta: 9:28:58 time: 0.9919 data_time: 0.6993 memory: 13619 grad_norm: 4.2096 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9129 loss: 0.9129 2022/08/01 10:26:05 - mmengine - INFO - Epoch(train) [54][40/940] lr: 1.0000e-03 eta: 9:28:41 time: 0.6840 data_time: 0.4075 memory: 13619 grad_norm: 4.2338 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9155 loss: 0.9155 2022/08/01 10:26:22 - mmengine - INFO - Epoch(train) [54][60/940] lr: 1.0000e-03 eta: 9:28:27 time: 0.8501 data_time: 0.5652 memory: 13619 grad_norm: 4.1904 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0319 loss: 1.0319 2022/08/01 10:26:36 - mmengine - INFO - Epoch(train) [54][80/940] lr: 1.0000e-03 eta: 9:28:10 time: 0.7033 data_time: 0.3764 memory: 13619 grad_norm: 4.2850 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0595 loss: 1.0595 2022/08/01 10:26:53 - mmengine - INFO - Epoch(train) [54][100/940] lr: 1.0000e-03 eta: 9:27:57 time: 0.8632 data_time: 0.3802 memory: 13619 grad_norm: 4.2615 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8713 loss: 0.8713 2022/08/01 10:27:07 - mmengine - INFO - Epoch(train) [54][120/940] lr: 1.0000e-03 eta: 9:27:39 time: 0.6527 data_time: 0.2658 memory: 13619 grad_norm: 4.3414 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0479 loss: 1.0479 2022/08/01 10:27:23 - mmengine - INFO - Epoch(train) [54][140/940] lr: 1.0000e-03 eta: 9:27:24 time: 0.8101 data_time: 0.4535 memory: 13619 grad_norm: 4.2910 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8516 loss: 0.8516 2022/08/01 10:27:36 - mmengine - INFO - Epoch(train) [54][160/940] lr: 1.0000e-03 eta: 9:27:07 time: 0.6707 data_time: 0.3656 memory: 13619 grad_norm: 4.1856 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9336 loss: 0.9336 2022/08/01 10:27:53 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 10:27:53 - mmengine - INFO - Epoch(train) [54][180/940] lr: 1.0000e-03 eta: 9:26:53 time: 0.8664 data_time: 0.4275 memory: 13619 grad_norm: 4.2217 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9874 loss: 0.9874 2022/08/01 10:28:07 - mmengine - INFO - Epoch(train) [54][200/940] lr: 1.0000e-03 eta: 9:26:36 time: 0.6937 data_time: 0.2682 memory: 13619 grad_norm: 4.2080 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8892 loss: 0.8892 2022/08/01 10:28:25 - mmengine - INFO - Epoch(train) [54][220/940] lr: 1.0000e-03 eta: 9:26:22 time: 0.8676 data_time: 0.2230 memory: 13619 grad_norm: 4.1922 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0256 loss: 1.0256 2022/08/01 10:28:38 - mmengine - INFO - Epoch(train) [54][240/940] lr: 1.0000e-03 eta: 9:26:05 time: 0.6481 data_time: 0.1897 memory: 13619 grad_norm: 4.1225 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9569 loss: 0.9569 2022/08/01 10:28:55 - mmengine - INFO - Epoch(train) [54][260/940] lr: 1.0000e-03 eta: 9:25:51 time: 0.8506 data_time: 0.1709 memory: 13619 grad_norm: 4.2261 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9453 loss: 0.9453 2022/08/01 10:29:08 - mmengine - INFO - Epoch(train) [54][280/940] lr: 1.0000e-03 eta: 9:25:34 time: 0.6874 data_time: 0.1024 memory: 13619 grad_norm: 4.3891 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0277 loss: 1.0277 2022/08/01 10:29:26 - mmengine - INFO - Epoch(train) [54][300/940] lr: 1.0000e-03 eta: 9:25:20 time: 0.8622 data_time: 0.1955 memory: 13619 grad_norm: 4.2949 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9141 loss: 0.9141 2022/08/01 10:29:39 - mmengine - INFO - Epoch(train) [54][320/940] lr: 1.0000e-03 eta: 9:25:02 time: 0.6615 data_time: 0.0751 memory: 13619 grad_norm: 4.1919 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9209 loss: 0.9209 2022/08/01 10:29:58 - mmengine - INFO - Epoch(train) [54][340/940] lr: 1.0000e-03 eta: 9:24:50 time: 0.9422 data_time: 0.3125 memory: 13619 grad_norm: 4.3356 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0314 loss: 1.0314 2022/08/01 10:30:11 - mmengine - INFO - Epoch(train) [54][360/940] lr: 1.0000e-03 eta: 9:24:32 time: 0.6469 data_time: 0.3307 memory: 13619 grad_norm: 4.1915 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9050 loss: 0.9050 2022/08/01 10:30:28 - mmengine - INFO - Epoch(train) [54][380/940] lr: 1.0000e-03 eta: 9:24:18 time: 0.8476 data_time: 0.5097 memory: 13619 grad_norm: 4.3085 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9648 loss: 0.9648 2022/08/01 10:30:40 - mmengine - INFO - Epoch(train) [54][400/940] lr: 1.0000e-03 eta: 9:24:00 time: 0.6245 data_time: 0.2505 memory: 13619 grad_norm: 4.1801 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8647 loss: 0.8647 2022/08/01 10:30:57 - mmengine - INFO - Epoch(train) [54][420/940] lr: 1.0000e-03 eta: 9:23:45 time: 0.8155 data_time: 0.2373 memory: 13619 grad_norm: 4.3013 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0065 loss: 1.0065 2022/08/01 10:31:10 - mmengine - INFO - Epoch(train) [54][440/940] lr: 1.0000e-03 eta: 9:23:28 time: 0.6725 data_time: 0.0547 memory: 13619 grad_norm: 4.2510 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9541 loss: 0.9541 2022/08/01 10:31:27 - mmengine - INFO - Epoch(train) [54][460/940] lr: 1.0000e-03 eta: 9:23:14 time: 0.8414 data_time: 0.0456 memory: 13619 grad_norm: 4.3953 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9830 loss: 0.9830 2022/08/01 10:31:40 - mmengine - INFO - Epoch(train) [54][480/940] lr: 1.0000e-03 eta: 9:22:57 time: 0.6768 data_time: 0.1529 memory: 13619 grad_norm: 4.2263 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9723 loss: 0.9723 2022/08/01 10:31:57 - mmengine - INFO - Epoch(train) [54][500/940] lr: 1.0000e-03 eta: 9:22:43 time: 0.8550 data_time: 0.1732 memory: 13619 grad_norm: 4.2913 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0716 loss: 1.0716 2022/08/01 10:32:12 - mmengine - INFO - Epoch(train) [54][520/940] lr: 1.0000e-03 eta: 9:22:26 time: 0.7272 data_time: 0.0647 memory: 13619 grad_norm: 4.2619 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9777 loss: 0.9777 2022/08/01 10:32:27 - mmengine - INFO - Epoch(train) [54][540/940] lr: 1.0000e-03 eta: 9:22:11 time: 0.7571 data_time: 0.1158 memory: 13619 grad_norm: 4.2789 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9483 loss: 0.9483 2022/08/01 10:32:42 - mmengine - INFO - Epoch(train) [54][560/940] lr: 1.0000e-03 eta: 9:21:55 time: 0.7325 data_time: 0.1270 memory: 13619 grad_norm: 4.2336 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1149 loss: 1.1149 2022/08/01 10:32:58 - mmengine - INFO - Epoch(train) [54][580/940] lr: 1.0000e-03 eta: 9:21:40 time: 0.8040 data_time: 0.1335 memory: 13619 grad_norm: 4.1770 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9657 loss: 0.9657 2022/08/01 10:33:13 - mmengine - INFO - Epoch(train) [54][600/940] lr: 1.0000e-03 eta: 9:21:24 time: 0.7554 data_time: 0.1138 memory: 13619 grad_norm: 4.3700 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1541 loss: 1.1541 2022/08/01 10:33:28 - mmengine - INFO - Epoch(train) [54][620/940] lr: 1.0000e-03 eta: 9:21:08 time: 0.7626 data_time: 0.0685 memory: 13619 grad_norm: 4.3464 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/01 10:33:44 - mmengine - INFO - Epoch(train) [54][640/940] lr: 1.0000e-03 eta: 9:20:53 time: 0.7691 data_time: 0.2101 memory: 13619 grad_norm: 4.2089 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9400 loss: 0.9400 2022/08/01 10:33:58 - mmengine - INFO - Epoch(train) [54][660/940] lr: 1.0000e-03 eta: 9:20:36 time: 0.7172 data_time: 0.1378 memory: 13619 grad_norm: 4.2603 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9161 loss: 0.9161 2022/08/01 10:34:14 - mmengine - INFO - Epoch(train) [54][680/940] lr: 1.0000e-03 eta: 9:20:21 time: 0.7841 data_time: 0.3626 memory: 13619 grad_norm: 4.2533 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9697 loss: 0.9697 2022/08/01 10:34:29 - mmengine - INFO - Epoch(train) [54][700/940] lr: 1.0000e-03 eta: 9:20:05 time: 0.7580 data_time: 0.2593 memory: 13619 grad_norm: 4.2401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0049 loss: 1.0049 2022/08/01 10:34:45 - mmengine - INFO - Epoch(train) [54][720/940] lr: 1.0000e-03 eta: 9:19:50 time: 0.7848 data_time: 0.1360 memory: 13619 grad_norm: 4.3607 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9365 loss: 0.9365 2022/08/01 10:35:00 - mmengine - INFO - Epoch(train) [54][740/940] lr: 1.0000e-03 eta: 9:19:35 time: 0.7925 data_time: 0.1490 memory: 13619 grad_norm: 4.2569 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9041 loss: 0.9041 2022/08/01 10:35:16 - mmengine - INFO - Epoch(train) [54][760/940] lr: 1.0000e-03 eta: 9:19:19 time: 0.7681 data_time: 0.0456 memory: 13619 grad_norm: 4.3217 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9220 loss: 0.9220 2022/08/01 10:35:32 - mmengine - INFO - Epoch(train) [54][780/940] lr: 1.0000e-03 eta: 9:19:05 time: 0.8219 data_time: 0.0580 memory: 13619 grad_norm: 4.1753 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0782 loss: 1.0782 2022/08/01 10:35:46 - mmengine - INFO - Epoch(train) [54][800/940] lr: 1.0000e-03 eta: 9:18:48 time: 0.6915 data_time: 0.0563 memory: 13619 grad_norm: 4.4278 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0085 loss: 1.0085 2022/08/01 10:36:04 - mmengine - INFO - Epoch(train) [54][820/940] lr: 1.0000e-03 eta: 9:18:34 time: 0.8758 data_time: 0.0343 memory: 13619 grad_norm: 4.2374 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9164 loss: 0.9164 2022/08/01 10:36:16 - mmengine - INFO - Epoch(train) [54][840/940] lr: 1.0000e-03 eta: 9:18:16 time: 0.6296 data_time: 0.0391 memory: 13619 grad_norm: 4.2719 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9876 loss: 0.9876 2022/08/01 10:36:33 - mmengine - INFO - Epoch(train) [54][860/940] lr: 1.0000e-03 eta: 9:18:02 time: 0.8265 data_time: 0.0391 memory: 13619 grad_norm: 4.2167 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0948 loss: 1.0948 2022/08/01 10:36:46 - mmengine - INFO - Epoch(train) [54][880/940] lr: 1.0000e-03 eta: 9:17:45 time: 0.6769 data_time: 0.0534 memory: 13619 grad_norm: 4.1967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8890 loss: 0.8890 2022/08/01 10:37:03 - mmengine - INFO - Epoch(train) [54][900/940] lr: 1.0000e-03 eta: 9:17:30 time: 0.8363 data_time: 0.0390 memory: 13619 grad_norm: 4.3598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9819 loss: 0.9819 2022/08/01 10:37:17 - mmengine - INFO - Epoch(train) [54][920/940] lr: 1.0000e-03 eta: 9:17:13 time: 0.6843 data_time: 0.0372 memory: 13619 grad_norm: 4.2643 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9597 loss: 0.9597 2022/08/01 10:37:32 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 10:37:32 - mmengine - INFO - Epoch(train) [54][940/940] lr: 1.0000e-03 eta: 9:16:58 time: 0.7636 data_time: 0.0299 memory: 13619 grad_norm: 4.4659 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9446 loss: 0.9446 2022/08/01 10:37:32 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/08/01 10:37:52 - mmengine - INFO - Epoch(val) [54][20/78] eta: 0:00:53 time: 0.9174 data_time: 0.8211 memory: 2186 2022/08/01 10:38:05 - mmengine - INFO - Epoch(val) [54][40/78] eta: 0:00:22 time: 0.6026 data_time: 0.5081 memory: 2186 2022/08/01 10:38:21 - mmengine - INFO - Epoch(val) [54][60/78] eta: 0:00:14 time: 0.8202 data_time: 0.7241 memory: 2186 2022/08/01 10:38:32 - mmengine - INFO - Epoch(val) [54][78/78] acc/top1: 0.7052 acc/top5: 0.8940 acc/mean1: 0.7050 2022/08/01 10:38:53 - mmengine - INFO - Epoch(train) [55][20/940] lr: 1.0000e-03 eta: 9:16:46 time: 1.0108 data_time: 0.7006 memory: 13619 grad_norm: 4.2668 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/08/01 10:39:07 - mmengine - INFO - Epoch(train) [55][40/940] lr: 1.0000e-03 eta: 9:16:30 time: 0.7052 data_time: 0.2810 memory: 13619 grad_norm: 4.2651 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9442 loss: 0.9442 2022/08/01 10:39:23 - mmengine - INFO - Epoch(train) [55][60/940] lr: 1.0000e-03 eta: 9:16:15 time: 0.8128 data_time: 0.3964 memory: 13619 grad_norm: 4.1577 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9165 loss: 0.9165 2022/08/01 10:39:37 - mmengine - INFO - Epoch(train) [55][80/940] lr: 1.0000e-03 eta: 9:15:58 time: 0.6829 data_time: 0.3285 memory: 13619 grad_norm: 4.2123 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0150 loss: 1.0150 2022/08/01 10:39:54 - mmengine - INFO - Epoch(train) [55][100/940] lr: 1.0000e-03 eta: 9:15:44 time: 0.8479 data_time: 0.4878 memory: 13619 grad_norm: 4.2006 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9030 loss: 0.9030 2022/08/01 10:40:07 - mmengine - INFO - Epoch(train) [55][120/940] lr: 1.0000e-03 eta: 9:15:26 time: 0.6489 data_time: 0.3193 memory: 13619 grad_norm: 4.2691 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9928 loss: 0.9928 2022/08/01 10:40:24 - mmengine - INFO - Epoch(train) [55][140/940] lr: 1.0000e-03 eta: 9:15:13 time: 0.8862 data_time: 0.3844 memory: 13619 grad_norm: 4.2637 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9627 loss: 0.9627 2022/08/01 10:40:37 - mmengine - INFO - Epoch(train) [55][160/940] lr: 1.0000e-03 eta: 9:14:55 time: 0.6574 data_time: 0.1409 memory: 13619 grad_norm: 4.3058 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9857 loss: 0.9857 2022/08/01 10:40:55 - mmengine - INFO - Epoch(train) [55][180/940] lr: 1.0000e-03 eta: 9:14:41 time: 0.8604 data_time: 0.1773 memory: 13619 grad_norm: 4.1444 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0502 loss: 1.0502 2022/08/01 10:41:09 - mmengine - INFO - Epoch(train) [55][200/940] lr: 1.0000e-03 eta: 9:14:25 time: 0.7016 data_time: 0.1212 memory: 13619 grad_norm: 4.3458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9717 loss: 0.9717 2022/08/01 10:41:25 - mmengine - INFO - Epoch(train) [55][220/940] lr: 1.0000e-03 eta: 9:14:10 time: 0.8403 data_time: 0.0546 memory: 13619 grad_norm: 4.3219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0459 loss: 1.0459 2022/08/01 10:41:40 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 10:41:40 - mmengine - INFO - Epoch(train) [55][240/940] lr: 1.0000e-03 eta: 9:13:54 time: 0.7093 data_time: 0.0449 memory: 13619 grad_norm: 4.1739 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8596 loss: 0.8596 2022/08/01 10:41:56 - mmengine - INFO - Epoch(train) [55][260/940] lr: 1.0000e-03 eta: 9:13:39 time: 0.8345 data_time: 0.0532 memory: 13619 grad_norm: 4.2285 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9264 loss: 0.9264 2022/08/01 10:42:10 - mmengine - INFO - Epoch(train) [55][280/940] lr: 1.0000e-03 eta: 9:13:22 time: 0.6756 data_time: 0.0360 memory: 13619 grad_norm: 4.3190 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0895 loss: 1.0895 2022/08/01 10:42:28 - mmengine - INFO - Epoch(train) [55][300/940] lr: 1.0000e-03 eta: 9:13:09 time: 0.8954 data_time: 0.0546 memory: 13619 grad_norm: 4.2204 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9978 loss: 0.9978 2022/08/01 10:42:41 - mmengine - INFO - Epoch(train) [55][320/940] lr: 1.0000e-03 eta: 9:12:51 time: 0.6381 data_time: 0.0368 memory: 13619 grad_norm: 4.1110 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8583 loss: 0.8583 2022/08/01 10:42:56 - mmengine - INFO - Epoch(train) [55][340/940] lr: 1.0000e-03 eta: 9:12:35 time: 0.7553 data_time: 0.1136 memory: 13619 grad_norm: 4.2663 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0021 loss: 1.0021 2022/08/01 10:43:10 - mmengine - INFO - Epoch(train) [55][360/940] lr: 1.0000e-03 eta: 9:12:19 time: 0.7301 data_time: 0.0641 memory: 13619 grad_norm: 4.2237 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0381 loss: 1.0381 2022/08/01 10:43:27 - mmengine - INFO - Epoch(train) [55][380/940] lr: 1.0000e-03 eta: 9:12:05 time: 0.8303 data_time: 0.0412 memory: 13619 grad_norm: 4.3628 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0170 loss: 1.0170 2022/08/01 10:43:42 - mmengine - INFO - Epoch(train) [55][400/940] lr: 1.0000e-03 eta: 9:11:49 time: 0.7630 data_time: 0.0459 memory: 13619 grad_norm: 4.3038 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9671 loss: 0.9671 2022/08/01 10:43:57 - mmengine - INFO - Epoch(train) [55][420/940] lr: 1.0000e-03 eta: 9:11:33 time: 0.7433 data_time: 0.0361 memory: 13619 grad_norm: 4.3050 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.9601 loss: 0.9601 2022/08/01 10:44:12 - mmengine - INFO - Epoch(train) [55][440/940] lr: 1.0000e-03 eta: 9:11:18 time: 0.7703 data_time: 0.0368 memory: 13619 grad_norm: 4.2036 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9353 loss: 0.9353 2022/08/01 10:44:29 - mmengine - INFO - Epoch(train) [55][460/940] lr: 1.0000e-03 eta: 9:11:03 time: 0.8040 data_time: 0.0397 memory: 13619 grad_norm: 4.2870 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9785 loss: 0.9785 2022/08/01 10:44:43 - mmengine - INFO - Epoch(train) [55][480/940] lr: 1.0000e-03 eta: 9:10:46 time: 0.7224 data_time: 0.0399 memory: 13619 grad_norm: 4.2256 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9267 loss: 0.9267 2022/08/01 10:44:59 - mmengine - INFO - Epoch(train) [55][500/940] lr: 1.0000e-03 eta: 9:10:32 time: 0.8121 data_time: 0.0399 memory: 13619 grad_norm: 4.3025 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0373 loss: 1.0373 2022/08/01 10:45:13 - mmengine - INFO - Epoch(train) [55][520/940] lr: 1.0000e-03 eta: 9:10:14 time: 0.6743 data_time: 0.0361 memory: 13619 grad_norm: 4.2910 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8543 loss: 0.8543 2022/08/01 10:45:29 - mmengine - INFO - Epoch(train) [55][540/940] lr: 1.0000e-03 eta: 9:10:00 time: 0.8137 data_time: 0.0390 memory: 13619 grad_norm: 4.3777 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9422 loss: 0.9422 2022/08/01 10:45:44 - mmengine - INFO - Epoch(train) [55][560/940] lr: 1.0000e-03 eta: 9:09:44 time: 0.7433 data_time: 0.0333 memory: 13619 grad_norm: 4.2201 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9821 loss: 0.9821 2022/08/01 10:45:59 - mmengine - INFO - Epoch(train) [55][580/940] lr: 1.0000e-03 eta: 9:09:28 time: 0.7403 data_time: 0.0400 memory: 13619 grad_norm: 4.2447 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8957 loss: 0.8957 2022/08/01 10:46:15 - mmengine - INFO - Epoch(train) [55][600/940] lr: 1.0000e-03 eta: 9:09:13 time: 0.7946 data_time: 0.0366 memory: 13619 grad_norm: 4.2665 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8848 loss: 0.8848 2022/08/01 10:46:30 - mmengine - INFO - Epoch(train) [55][620/940] lr: 1.0000e-03 eta: 9:08:57 time: 0.7618 data_time: 0.0393 memory: 13619 grad_norm: 4.2441 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0182 loss: 1.0182 2022/08/01 10:46:45 - mmengine - INFO - Epoch(train) [55][640/940] lr: 1.0000e-03 eta: 9:08:41 time: 0.7594 data_time: 0.0404 memory: 13619 grad_norm: 4.2057 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9710 loss: 0.9710 2022/08/01 10:47:01 - mmengine - INFO - Epoch(train) [55][660/940] lr: 1.0000e-03 eta: 9:08:26 time: 0.7868 data_time: 0.0386 memory: 13619 grad_norm: 4.2750 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8953 loss: 0.8953 2022/08/01 10:47:16 - mmengine - INFO - Epoch(train) [55][680/940] lr: 1.0000e-03 eta: 9:08:10 time: 0.7424 data_time: 0.0357 memory: 13619 grad_norm: 4.2938 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0327 loss: 1.0327 2022/08/01 10:47:33 - mmengine - INFO - Epoch(train) [55][700/940] lr: 1.0000e-03 eta: 9:07:56 time: 0.8623 data_time: 0.0654 memory: 13619 grad_norm: 4.2567 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0724 loss: 1.0724 2022/08/01 10:47:47 - mmengine - INFO - Epoch(train) [55][720/940] lr: 1.0000e-03 eta: 9:07:39 time: 0.6902 data_time: 0.0352 memory: 13619 grad_norm: 4.3602 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0570 loss: 1.0570 2022/08/01 10:48:03 - mmengine - INFO - Epoch(train) [55][740/940] lr: 1.0000e-03 eta: 9:07:25 time: 0.8241 data_time: 0.0463 memory: 13619 grad_norm: 4.4061 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/08/01 10:48:17 - mmengine - INFO - Epoch(train) [55][760/940] lr: 1.0000e-03 eta: 9:07:08 time: 0.6816 data_time: 0.0354 memory: 13619 grad_norm: 4.2722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/08/01 10:48:33 - mmengine - INFO - Epoch(train) [55][780/940] lr: 1.0000e-03 eta: 9:06:53 time: 0.8331 data_time: 0.0381 memory: 13619 grad_norm: 4.2599 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.0145 loss: 1.0145 2022/08/01 10:48:47 - mmengine - INFO - Epoch(train) [55][800/940] lr: 1.0000e-03 eta: 9:06:36 time: 0.6814 data_time: 0.0383 memory: 13619 grad_norm: 4.2751 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9406 loss: 0.9406 2022/08/01 10:49:03 - mmengine - INFO - Epoch(train) [55][820/940] lr: 1.0000e-03 eta: 9:06:22 time: 0.8144 data_time: 0.0431 memory: 13619 grad_norm: 4.1740 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8479 loss: 0.8479 2022/08/01 10:49:18 - mmengine - INFO - Epoch(train) [55][840/940] lr: 1.0000e-03 eta: 9:06:05 time: 0.7278 data_time: 0.0403 memory: 13619 grad_norm: 4.3490 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8928 loss: 0.8928 2022/08/01 10:49:35 - mmengine - INFO - Epoch(train) [55][860/940] lr: 1.0000e-03 eta: 9:05:51 time: 0.8350 data_time: 0.0378 memory: 13619 grad_norm: 4.2120 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9211 loss: 0.9211 2022/08/01 10:49:50 - mmengine - INFO - Epoch(train) [55][880/940] lr: 1.0000e-03 eta: 9:05:35 time: 0.7436 data_time: 0.0389 memory: 13619 grad_norm: 4.3030 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9310 loss: 0.9310 2022/08/01 10:50:07 - mmengine - INFO - Epoch(train) [55][900/940] lr: 1.0000e-03 eta: 9:05:21 time: 0.8498 data_time: 0.0395 memory: 13619 grad_norm: 4.3042 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9880 loss: 0.9880 2022/08/01 10:50:20 - mmengine - INFO - Epoch(train) [55][920/940] lr: 1.0000e-03 eta: 9:05:04 time: 0.6804 data_time: 0.0366 memory: 13619 grad_norm: 4.2489 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9677 loss: 0.9677 2022/08/01 10:50:32 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 10:50:32 - mmengine - INFO - Epoch(train) [55][940/940] lr: 1.0000e-03 eta: 9:04:46 time: 0.6045 data_time: 0.0308 memory: 13619 grad_norm: 4.5261 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.8586 loss: 0.8586 2022/08/01 10:50:50 - mmengine - INFO - Epoch(val) [55][20/78] eta: 0:00:50 time: 0.8779 data_time: 0.7754 memory: 2186 2022/08/01 10:51:02 - mmengine - INFO - Epoch(val) [55][40/78] eta: 0:00:22 time: 0.6000 data_time: 0.5071 memory: 2186 2022/08/01 10:51:18 - mmengine - INFO - Epoch(val) [55][60/78] eta: 0:00:14 time: 0.8070 data_time: 0.7120 memory: 2186 2022/08/01 10:51:31 - mmengine - INFO - Epoch(val) [55][78/78] acc/top1: 0.7062 acc/top5: 0.8942 acc/mean1: 0.7061 2022/08/01 10:51:51 - mmengine - INFO - Epoch(train) [56][20/940] lr: 1.0000e-03 eta: 9:04:34 time: 0.9941 data_time: 0.6899 memory: 13619 grad_norm: 4.3117 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9932 loss: 0.9932 2022/08/01 10:52:05 - mmengine - INFO - Epoch(train) [56][40/940] lr: 1.0000e-03 eta: 9:04:17 time: 0.7004 data_time: 0.4015 memory: 13619 grad_norm: 4.2904 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9560 loss: 0.9560 2022/08/01 10:52:23 - mmengine - INFO - Epoch(train) [56][60/940] lr: 1.0000e-03 eta: 9:04:03 time: 0.8725 data_time: 0.5634 memory: 13619 grad_norm: 4.3003 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9279 loss: 0.9279 2022/08/01 10:52:37 - mmengine - INFO - Epoch(train) [56][80/940] lr: 1.0000e-03 eta: 9:03:47 time: 0.7034 data_time: 0.4055 memory: 13619 grad_norm: 4.3850 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9066 loss: 0.9066 2022/08/01 10:52:54 - mmengine - INFO - Epoch(train) [56][100/940] lr: 1.0000e-03 eta: 9:03:33 time: 0.8614 data_time: 0.5067 memory: 13619 grad_norm: 4.1652 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9507 loss: 0.9507 2022/08/01 10:53:07 - mmengine - INFO - Epoch(train) [56][120/940] lr: 1.0000e-03 eta: 9:03:15 time: 0.6506 data_time: 0.3322 memory: 13619 grad_norm: 4.3807 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0018 loss: 1.0018 2022/08/01 10:53:25 - mmengine - INFO - Epoch(train) [56][140/940] lr: 1.0000e-03 eta: 9:03:02 time: 0.8814 data_time: 0.5606 memory: 13619 grad_norm: 4.1475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9376 loss: 0.9376 2022/08/01 10:53:39 - mmengine - INFO - Epoch(train) [56][160/940] lr: 1.0000e-03 eta: 9:02:45 time: 0.7034 data_time: 0.3522 memory: 13619 grad_norm: 4.2656 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8364 loss: 0.8364 2022/08/01 10:53:55 - mmengine - INFO - Epoch(train) [56][180/940] lr: 1.0000e-03 eta: 9:02:30 time: 0.8083 data_time: 0.4585 memory: 13619 grad_norm: 4.3064 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/08/01 10:54:10 - mmengine - INFO - Epoch(train) [56][200/940] lr: 1.0000e-03 eta: 9:02:14 time: 0.7119 data_time: 0.3336 memory: 13619 grad_norm: 4.1923 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9872 loss: 0.9872 2022/08/01 10:54:25 - mmengine - INFO - Epoch(train) [56][220/940] lr: 1.0000e-03 eta: 9:01:59 time: 0.7981 data_time: 0.3834 memory: 13619 grad_norm: 4.2722 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9968 loss: 0.9968 2022/08/01 10:54:39 - mmengine - INFO - Epoch(train) [56][240/940] lr: 1.0000e-03 eta: 9:01:41 time: 0.6695 data_time: 0.2999 memory: 13619 grad_norm: 4.2985 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9754 loss: 0.9754 2022/08/01 10:54:55 - mmengine - INFO - Epoch(train) [56][260/940] lr: 1.0000e-03 eta: 9:01:27 time: 0.8080 data_time: 0.3818 memory: 13619 grad_norm: 4.3357 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9233 loss: 0.9233 2022/08/01 10:55:10 - mmengine - INFO - Epoch(train) [56][280/940] lr: 1.0000e-03 eta: 9:01:10 time: 0.7322 data_time: 0.2734 memory: 13619 grad_norm: 4.3182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0227 loss: 1.0227 2022/08/01 10:55:26 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 10:55:26 - mmengine - INFO - Epoch(train) [56][300/940] lr: 1.0000e-03 eta: 9:00:56 time: 0.8097 data_time: 0.3847 memory: 13619 grad_norm: 4.2569 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9661 loss: 0.9661 2022/08/01 10:55:40 - mmengine - INFO - Epoch(train) [56][320/940] lr: 1.0000e-03 eta: 9:00:39 time: 0.6913 data_time: 0.3085 memory: 13619 grad_norm: 4.3449 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0073 loss: 1.0073 2022/08/01 10:55:56 - mmengine - INFO - Epoch(train) [56][340/940] lr: 1.0000e-03 eta: 9:00:24 time: 0.8240 data_time: 0.4497 memory: 13619 grad_norm: 4.2314 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9961 loss: 0.9961 2022/08/01 10:56:11 - mmengine - INFO - Epoch(train) [56][360/940] lr: 1.0000e-03 eta: 9:00:08 time: 0.7474 data_time: 0.3240 memory: 13619 grad_norm: 4.2967 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8589 loss: 0.8589 2022/08/01 10:56:27 - mmengine - INFO - Epoch(train) [56][380/940] lr: 1.0000e-03 eta: 8:59:54 time: 0.8159 data_time: 0.3836 memory: 13619 grad_norm: 4.3134 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9110 loss: 0.9110 2022/08/01 10:56:42 - mmengine - INFO - Epoch(train) [56][400/940] lr: 1.0000e-03 eta: 8:59:38 time: 0.7543 data_time: 0.2610 memory: 13619 grad_norm: 4.2550 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0262 loss: 1.0262 2022/08/01 10:56:58 - mmengine - INFO - Epoch(train) [56][420/940] lr: 1.0000e-03 eta: 8:59:23 time: 0.7795 data_time: 0.1744 memory: 13619 grad_norm: 4.2602 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0538 loss: 1.0538 2022/08/01 10:57:13 - mmengine - INFO - Epoch(train) [56][440/940] lr: 1.0000e-03 eta: 8:59:07 time: 0.7453 data_time: 0.0919 memory: 13619 grad_norm: 4.1800 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0460 loss: 1.0460 2022/08/01 10:57:30 - mmengine - INFO - Epoch(train) [56][460/940] lr: 1.0000e-03 eta: 8:58:53 time: 0.8577 data_time: 0.0676 memory: 13619 grad_norm: 4.1576 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8504 loss: 0.8504 2022/08/01 10:57:44 - mmengine - INFO - Epoch(train) [56][480/940] lr: 1.0000e-03 eta: 8:58:36 time: 0.6978 data_time: 0.0658 memory: 13619 grad_norm: 4.4219 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9716 loss: 0.9716 2022/08/01 10:58:02 - mmengine - INFO - Epoch(train) [56][500/940] lr: 1.0000e-03 eta: 8:58:22 time: 0.8722 data_time: 0.1588 memory: 13619 grad_norm: 4.1875 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9777 loss: 0.9777 2022/08/01 10:58:15 - mmengine - INFO - Epoch(train) [56][520/940] lr: 1.0000e-03 eta: 8:58:05 time: 0.6649 data_time: 0.0630 memory: 13619 grad_norm: 4.2200 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9818 loss: 0.9818 2022/08/01 10:58:32 - mmengine - INFO - Epoch(train) [56][540/940] lr: 1.0000e-03 eta: 8:57:51 time: 0.8577 data_time: 0.0643 memory: 13619 grad_norm: 4.2515 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9236 loss: 0.9236 2022/08/01 10:58:46 - mmengine - INFO - Epoch(train) [56][560/940] lr: 1.0000e-03 eta: 8:57:34 time: 0.6777 data_time: 0.0398 memory: 13619 grad_norm: 4.3420 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9197 loss: 0.9197 2022/08/01 10:59:02 - mmengine - INFO - Epoch(train) [56][580/940] lr: 1.0000e-03 eta: 8:57:19 time: 0.8357 data_time: 0.0654 memory: 13619 grad_norm: 4.2683 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9325 loss: 0.9325 2022/08/01 10:59:17 - mmengine - INFO - Epoch(train) [56][600/940] lr: 1.0000e-03 eta: 8:57:03 time: 0.7191 data_time: 0.0678 memory: 13619 grad_norm: 4.3422 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9687 loss: 0.9687 2022/08/01 10:59:33 - mmengine - INFO - Epoch(train) [56][620/940] lr: 1.0000e-03 eta: 8:56:49 time: 0.8347 data_time: 0.0377 memory: 13619 grad_norm: 4.3227 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9714 loss: 0.9714 2022/08/01 10:59:47 - mmengine - INFO - Epoch(train) [56][640/940] lr: 1.0000e-03 eta: 8:56:31 time: 0.6650 data_time: 0.0409 memory: 13619 grad_norm: 4.3290 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9094 loss: 0.9094 2022/08/01 11:00:04 - mmengine - INFO - Epoch(train) [56][660/940] lr: 1.0000e-03 eta: 8:56:17 time: 0.8530 data_time: 0.0401 memory: 13619 grad_norm: 4.3328 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8948 loss: 0.8948 2022/08/01 11:00:18 - mmengine - INFO - Epoch(train) [56][680/940] lr: 1.0000e-03 eta: 8:56:00 time: 0.6947 data_time: 0.0346 memory: 13619 grad_norm: 4.3456 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9448 loss: 0.9448 2022/08/01 11:00:35 - mmengine - INFO - Epoch(train) [56][700/940] lr: 1.0000e-03 eta: 8:55:46 time: 0.8470 data_time: 0.0417 memory: 13619 grad_norm: 4.2662 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9647 loss: 0.9647 2022/08/01 11:00:48 - mmengine - INFO - Epoch(train) [56][720/940] lr: 1.0000e-03 eta: 8:55:29 time: 0.6862 data_time: 0.0312 memory: 13619 grad_norm: 4.2778 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9278 loss: 0.9278 2022/08/01 11:01:06 - mmengine - INFO - Epoch(train) [56][740/940] lr: 1.0000e-03 eta: 8:55:16 time: 0.9084 data_time: 0.0367 memory: 13619 grad_norm: 4.3585 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9280 loss: 0.9280 2022/08/01 11:01:20 - mmengine - INFO - Epoch(train) [56][760/940] lr: 1.0000e-03 eta: 8:54:59 time: 0.6512 data_time: 0.0310 memory: 13619 grad_norm: 4.2496 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9207 loss: 0.9207 2022/08/01 11:01:36 - mmengine - INFO - Epoch(train) [56][780/940] lr: 1.0000e-03 eta: 8:54:44 time: 0.8408 data_time: 0.0398 memory: 13619 grad_norm: 4.3268 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0847 loss: 1.0847 2022/08/01 11:01:50 - mmengine - INFO - Epoch(train) [56][800/940] lr: 1.0000e-03 eta: 8:54:27 time: 0.6612 data_time: 0.0596 memory: 13619 grad_norm: 4.2841 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9287 loss: 0.9287 2022/08/01 11:02:06 - mmengine - INFO - Epoch(train) [56][820/940] lr: 1.0000e-03 eta: 8:54:13 time: 0.8348 data_time: 0.0375 memory: 13619 grad_norm: 4.3984 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9425 loss: 0.9425 2022/08/01 11:02:19 - mmengine - INFO - Epoch(train) [56][840/940] lr: 1.0000e-03 eta: 8:53:55 time: 0.6209 data_time: 0.0311 memory: 13619 grad_norm: 4.3327 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0921 loss: 1.0921 2022/08/01 11:02:35 - mmengine - INFO - Epoch(train) [56][860/940] lr: 1.0000e-03 eta: 8:53:40 time: 0.8054 data_time: 0.0459 memory: 13619 grad_norm: 4.3422 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9112 loss: 0.9112 2022/08/01 11:02:50 - mmengine - INFO - Epoch(train) [56][880/940] lr: 1.0000e-03 eta: 8:53:24 time: 0.7406 data_time: 0.0751 memory: 13619 grad_norm: 4.2279 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9176 loss: 0.9176 2022/08/01 11:03:06 - mmengine - INFO - Epoch(train) [56][900/940] lr: 1.0000e-03 eta: 8:53:09 time: 0.8197 data_time: 0.0418 memory: 13619 grad_norm: 4.4221 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9788 loss: 0.9788 2022/08/01 11:03:20 - mmengine - INFO - Epoch(train) [56][920/940] lr: 1.0000e-03 eta: 8:52:52 time: 0.6837 data_time: 0.0377 memory: 13619 grad_norm: 4.2857 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9736 loss: 0.9736 2022/08/01 11:03:34 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 11:03:34 - mmengine - INFO - Epoch(train) [56][940/940] lr: 1.0000e-03 eta: 8:52:36 time: 0.7219 data_time: 0.0298 memory: 13619 grad_norm: 4.5405 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0016 loss: 1.0016 2022/08/01 11:03:52 - mmengine - INFO - Epoch(val) [56][20/78] eta: 0:00:50 time: 0.8708 data_time: 0.7773 memory: 2186 2022/08/01 11:04:04 - mmengine - INFO - Epoch(val) [56][40/78] eta: 0:00:23 time: 0.6152 data_time: 0.5196 memory: 2186 2022/08/01 11:04:20 - mmengine - INFO - Epoch(val) [56][60/78] eta: 0:00:14 time: 0.8037 data_time: 0.6964 memory: 2186 2022/08/01 11:04:33 - mmengine - INFO - Epoch(val) [56][78/78] acc/top1: 0.7038 acc/top5: 0.8945 acc/mean1: 0.7037 2022/08/01 11:04:53 - mmengine - INFO - Epoch(train) [57][20/940] lr: 1.0000e-03 eta: 8:52:24 time: 0.9740 data_time: 0.3939 memory: 13619 grad_norm: 4.2622 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8894 loss: 0.8894 2022/08/01 11:05:06 - mmengine - INFO - Epoch(train) [57][40/940] lr: 1.0000e-03 eta: 8:52:07 time: 0.6641 data_time: 0.1058 memory: 13619 grad_norm: 4.2771 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9514 loss: 0.9514 2022/08/01 11:05:24 - mmengine - INFO - Epoch(train) [57][60/940] lr: 1.0000e-03 eta: 8:51:53 time: 0.8862 data_time: 0.0415 memory: 13619 grad_norm: 4.2712 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0049 loss: 1.0049 2022/08/01 11:05:38 - mmengine - INFO - Epoch(train) [57][80/940] lr: 1.0000e-03 eta: 8:51:36 time: 0.6999 data_time: 0.0329 memory: 13619 grad_norm: 4.2265 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9076 loss: 0.9076 2022/08/01 11:05:54 - mmengine - INFO - Epoch(train) [57][100/940] lr: 1.0000e-03 eta: 8:51:22 time: 0.8186 data_time: 0.0396 memory: 13619 grad_norm: 4.1876 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9583 loss: 0.9583 2022/08/01 11:06:08 - mmengine - INFO - Epoch(train) [57][120/940] lr: 1.0000e-03 eta: 8:51:05 time: 0.7070 data_time: 0.0532 memory: 13619 grad_norm: 4.2369 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9074 loss: 0.9074 2022/08/01 11:06:26 - mmengine - INFO - Epoch(train) [57][140/940] lr: 1.0000e-03 eta: 8:50:52 time: 0.8943 data_time: 0.0416 memory: 13619 grad_norm: 4.2825 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9484 loss: 0.9484 2022/08/01 11:06:41 - mmengine - INFO - Epoch(train) [57][160/940] lr: 1.0000e-03 eta: 8:50:36 time: 0.7454 data_time: 0.0340 memory: 13619 grad_norm: 4.2935 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9523 loss: 0.9523 2022/08/01 11:06:57 - mmengine - INFO - Epoch(train) [57][180/940] lr: 1.0000e-03 eta: 8:50:20 time: 0.7848 data_time: 0.0895 memory: 13619 grad_norm: 4.3959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9356 loss: 0.9356 2022/08/01 11:07:10 - mmengine - INFO - Epoch(train) [57][200/940] lr: 1.0000e-03 eta: 8:50:03 time: 0.6323 data_time: 0.0754 memory: 13619 grad_norm: 4.3625 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8911 loss: 0.8911 2022/08/01 11:07:27 - mmengine - INFO - Epoch(train) [57][220/940] lr: 1.0000e-03 eta: 8:49:49 time: 0.8680 data_time: 0.0456 memory: 13619 grad_norm: 4.2529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0880 loss: 1.0880 2022/08/01 11:07:41 - mmengine - INFO - Epoch(train) [57][240/940] lr: 1.0000e-03 eta: 8:49:33 time: 0.7217 data_time: 0.0378 memory: 13619 grad_norm: 4.2273 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8734 loss: 0.8734 2022/08/01 11:07:58 - mmengine - INFO - Epoch(train) [57][260/940] lr: 1.0000e-03 eta: 8:49:18 time: 0.8375 data_time: 0.0348 memory: 13619 grad_norm: 4.2596 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9194 loss: 0.9194 2022/08/01 11:08:11 - mmengine - INFO - Epoch(train) [57][280/940] lr: 1.0000e-03 eta: 8:49:01 time: 0.6471 data_time: 0.0420 memory: 13619 grad_norm: 4.3123 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9660 loss: 0.9660 2022/08/01 11:08:27 - mmengine - INFO - Epoch(train) [57][300/940] lr: 1.0000e-03 eta: 8:48:46 time: 0.8146 data_time: 0.0371 memory: 13619 grad_norm: 4.2520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9655 loss: 0.9655 2022/08/01 11:08:41 - mmengine - INFO - Epoch(train) [57][320/940] lr: 1.0000e-03 eta: 8:48:29 time: 0.6915 data_time: 0.0358 memory: 13619 grad_norm: 4.1795 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9291 loss: 0.9291 2022/08/01 11:08:58 - mmengine - INFO - Epoch(train) [57][340/940] lr: 1.0000e-03 eta: 8:48:15 time: 0.8386 data_time: 0.0468 memory: 13619 grad_norm: 4.2535 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9257 loss: 0.9257 2022/08/01 11:09:13 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 11:09:13 - mmengine - INFO - Epoch(train) [57][360/940] lr: 1.0000e-03 eta: 8:47:59 time: 0.7354 data_time: 0.0390 memory: 13619 grad_norm: 4.3781 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9007 loss: 0.9007 2022/08/01 11:09:29 - mmengine - INFO - Epoch(train) [57][380/940] lr: 1.0000e-03 eta: 8:47:44 time: 0.8351 data_time: 0.0343 memory: 13619 grad_norm: 4.3286 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8995 loss: 0.8995 2022/08/01 11:09:42 - mmengine - INFO - Epoch(train) [57][400/940] lr: 1.0000e-03 eta: 8:47:27 time: 0.6456 data_time: 0.0399 memory: 13619 grad_norm: 4.3465 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9801 loss: 0.9801 2022/08/01 11:10:00 - mmengine - INFO - Epoch(train) [57][420/940] lr: 1.0000e-03 eta: 8:47:13 time: 0.8602 data_time: 0.0348 memory: 13619 grad_norm: 4.2174 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9546 loss: 0.9546 2022/08/01 11:10:14 - mmengine - INFO - Epoch(train) [57][440/940] lr: 1.0000e-03 eta: 8:46:57 time: 0.7440 data_time: 0.0468 memory: 13619 grad_norm: 4.2374 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9812 loss: 0.9812 2022/08/01 11:10:30 - mmengine - INFO - Epoch(train) [57][460/940] lr: 1.0000e-03 eta: 8:46:42 time: 0.7981 data_time: 0.0429 memory: 13619 grad_norm: 4.2148 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9828 loss: 0.9828 2022/08/01 11:10:45 - mmengine - INFO - Epoch(train) [57][480/940] lr: 1.0000e-03 eta: 8:46:25 time: 0.7165 data_time: 0.0400 memory: 13619 grad_norm: 4.3445 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9882 loss: 0.9882 2022/08/01 11:11:00 - mmengine - INFO - Epoch(train) [57][500/940] lr: 1.0000e-03 eta: 8:46:10 time: 0.7672 data_time: 0.0357 memory: 13619 grad_norm: 4.3775 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0135 loss: 1.0135 2022/08/01 11:11:15 - mmengine - INFO - Epoch(train) [57][520/940] lr: 1.0000e-03 eta: 8:45:54 time: 0.7470 data_time: 0.0458 memory: 13619 grad_norm: 4.2798 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9583 loss: 0.9583 2022/08/01 11:11:31 - mmengine - INFO - Epoch(train) [57][540/940] lr: 1.0000e-03 eta: 8:45:39 time: 0.8129 data_time: 0.0390 memory: 13619 grad_norm: 4.3753 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0000 loss: 1.0000 2022/08/01 11:11:45 - mmengine - INFO - Epoch(train) [57][560/940] lr: 1.0000e-03 eta: 8:45:22 time: 0.6790 data_time: 0.0375 memory: 13619 grad_norm: 4.2400 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8816 loss: 0.8816 2022/08/01 11:12:02 - mmengine - INFO - Epoch(train) [57][580/940] lr: 1.0000e-03 eta: 8:45:08 time: 0.8362 data_time: 0.0402 memory: 13619 grad_norm: 4.3229 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0013 loss: 1.0013 2022/08/01 11:12:16 - mmengine - INFO - Epoch(train) [57][600/940] lr: 1.0000e-03 eta: 8:44:52 time: 0.7320 data_time: 0.0365 memory: 13619 grad_norm: 4.2840 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9260 loss: 0.9260 2022/08/01 11:12:33 - mmengine - INFO - Epoch(train) [57][620/940] lr: 1.0000e-03 eta: 8:44:37 time: 0.8418 data_time: 0.0357 memory: 13619 grad_norm: 4.4220 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9947 loss: 0.9947 2022/08/01 11:12:46 - mmengine - INFO - Epoch(train) [57][640/940] lr: 1.0000e-03 eta: 8:44:20 time: 0.6683 data_time: 0.0402 memory: 13619 grad_norm: 4.2928 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9824 loss: 0.9824 2022/08/01 11:13:04 - mmengine - INFO - Epoch(train) [57][660/940] lr: 1.0000e-03 eta: 8:44:06 time: 0.8652 data_time: 0.0345 memory: 13619 grad_norm: 4.3395 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0200 loss: 1.0200 2022/08/01 11:13:17 - mmengine - INFO - Epoch(train) [57][680/940] lr: 1.0000e-03 eta: 8:43:49 time: 0.6552 data_time: 0.0363 memory: 13619 grad_norm: 4.3216 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0720 loss: 1.0720 2022/08/01 11:13:34 - mmengine - INFO - Epoch(train) [57][700/940] lr: 1.0000e-03 eta: 8:43:35 time: 0.8408 data_time: 0.0371 memory: 13619 grad_norm: 4.3189 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9743 loss: 0.9743 2022/08/01 11:13:47 - mmengine - INFO - Epoch(train) [57][720/940] lr: 1.0000e-03 eta: 8:43:18 time: 0.6614 data_time: 0.0359 memory: 13619 grad_norm: 4.2804 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9912 loss: 0.9912 2022/08/01 11:14:05 - mmengine - INFO - Epoch(train) [57][740/940] lr: 1.0000e-03 eta: 8:43:04 time: 0.8893 data_time: 0.0371 memory: 13619 grad_norm: 4.3079 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9568 loss: 0.9568 2022/08/01 11:14:19 - mmengine - INFO - Epoch(train) [57][760/940] lr: 1.0000e-03 eta: 8:42:47 time: 0.6914 data_time: 0.0496 memory: 13619 grad_norm: 4.3688 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0456 loss: 1.0456 2022/08/01 11:14:35 - mmengine - INFO - Epoch(train) [57][780/940] lr: 1.0000e-03 eta: 8:42:33 time: 0.8458 data_time: 0.0392 memory: 13619 grad_norm: 4.3827 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9488 loss: 0.9488 2022/08/01 11:14:48 - mmengine - INFO - Epoch(train) [57][800/940] lr: 1.0000e-03 eta: 8:42:15 time: 0.6475 data_time: 0.0419 memory: 13619 grad_norm: 4.3245 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0502 loss: 1.0502 2022/08/01 11:15:05 - mmengine - INFO - Epoch(train) [57][820/940] lr: 1.0000e-03 eta: 8:42:01 time: 0.8352 data_time: 0.0400 memory: 13619 grad_norm: 4.2088 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9106 loss: 0.9106 2022/08/01 11:15:19 - mmengine - INFO - Epoch(train) [57][840/940] lr: 1.0000e-03 eta: 8:41:44 time: 0.6878 data_time: 0.0359 memory: 13619 grad_norm: 4.2610 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/01 11:15:36 - mmengine - INFO - Epoch(train) [57][860/940] lr: 1.0000e-03 eta: 8:41:30 time: 0.8376 data_time: 0.0403 memory: 13619 grad_norm: 4.3035 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9734 loss: 0.9734 2022/08/01 11:15:50 - mmengine - INFO - Epoch(train) [57][880/940] lr: 1.0000e-03 eta: 8:41:13 time: 0.7157 data_time: 0.0335 memory: 13619 grad_norm: 4.2464 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0205 loss: 1.0205 2022/08/01 11:16:06 - mmengine - INFO - Epoch(train) [57][900/940] lr: 1.0000e-03 eta: 8:40:58 time: 0.7802 data_time: 0.0399 memory: 13619 grad_norm: 4.2731 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8946 loss: 0.8946 2022/08/01 11:16:22 - mmengine - INFO - Epoch(train) [57][920/940] lr: 1.0000e-03 eta: 8:40:43 time: 0.8223 data_time: 0.0445 memory: 13619 grad_norm: 4.2762 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8433 loss: 0.8433 2022/08/01 11:16:34 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 11:16:34 - mmengine - INFO - Epoch(train) [57][940/940] lr: 1.0000e-03 eta: 8:40:25 time: 0.5872 data_time: 0.0653 memory: 13619 grad_norm: 4.6446 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1154 loss: 1.1154 2022/08/01 11:16:34 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/08/01 11:16:54 - mmengine - INFO - Epoch(val) [57][20/78] eta: 0:00:50 time: 0.8776 data_time: 0.7855 memory: 2186 2022/08/01 11:17:06 - mmengine - INFO - Epoch(val) [57][40/78] eta: 0:00:22 time: 0.6031 data_time: 0.5101 memory: 2186 2022/08/01 11:17:22 - mmengine - INFO - Epoch(val) [57][60/78] eta: 0:00:14 time: 0.8094 data_time: 0.7172 memory: 2186 2022/08/01 11:17:35 - mmengine - INFO - Epoch(val) [57][78/78] acc/top1: 0.7056 acc/top5: 0.8912 acc/mean1: 0.7055 2022/08/01 11:17:55 - mmengine - INFO - Epoch(train) [58][20/940] lr: 1.0000e-03 eta: 8:40:13 time: 0.9979 data_time: 0.6414 memory: 13619 grad_norm: 4.2672 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9806 loss: 0.9806 2022/08/01 11:18:08 - mmengine - INFO - Epoch(train) [58][40/940] lr: 1.0000e-03 eta: 8:39:56 time: 0.6671 data_time: 0.2951 memory: 13619 grad_norm: 4.2768 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8376 loss: 0.8376 2022/08/01 11:18:25 - mmengine - INFO - Epoch(train) [58][60/940] lr: 1.0000e-03 eta: 8:39:41 time: 0.8277 data_time: 0.3637 memory: 13619 grad_norm: 4.2888 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8897 loss: 0.8897 2022/08/01 11:18:38 - mmengine - INFO - Epoch(train) [58][80/940] lr: 1.0000e-03 eta: 8:39:25 time: 0.6768 data_time: 0.1931 memory: 13619 grad_norm: 4.2799 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0115 loss: 1.0115 2022/08/01 11:18:56 - mmengine - INFO - Epoch(train) [58][100/940] lr: 1.0000e-03 eta: 8:39:11 time: 0.8883 data_time: 0.1489 memory: 13619 grad_norm: 4.4440 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9180 loss: 0.9180 2022/08/01 11:19:10 - mmengine - INFO - Epoch(train) [58][120/940] lr: 1.0000e-03 eta: 8:38:54 time: 0.7039 data_time: 0.0942 memory: 13619 grad_norm: 4.4164 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0334 loss: 1.0334 2022/08/01 11:19:27 - mmengine - INFO - Epoch(train) [58][140/940] lr: 1.0000e-03 eta: 8:38:40 time: 0.8675 data_time: 0.0472 memory: 13619 grad_norm: 4.3045 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9987 loss: 0.9987 2022/08/01 11:19:41 - mmengine - INFO - Epoch(train) [58][160/940] lr: 1.0000e-03 eta: 8:38:23 time: 0.6626 data_time: 0.0371 memory: 13619 grad_norm: 4.2821 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9252 loss: 0.9252 2022/08/01 11:19:58 - mmengine - INFO - Epoch(train) [58][180/940] lr: 1.0000e-03 eta: 8:38:09 time: 0.8685 data_time: 0.0351 memory: 13619 grad_norm: 4.2837 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9110 loss: 0.9110 2022/08/01 11:20:11 - mmengine - INFO - Epoch(train) [58][200/940] lr: 1.0000e-03 eta: 8:37:52 time: 0.6618 data_time: 0.0391 memory: 13619 grad_norm: 4.2842 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8888 loss: 0.8888 2022/08/01 11:20:29 - mmengine - INFO - Epoch(train) [58][220/940] lr: 1.0000e-03 eta: 8:37:38 time: 0.8704 data_time: 0.0382 memory: 13619 grad_norm: 4.2946 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0149 loss: 1.0149 2022/08/01 11:20:42 - mmengine - INFO - Epoch(train) [58][240/940] lr: 1.0000e-03 eta: 8:37:21 time: 0.6735 data_time: 0.0395 memory: 13619 grad_norm: 4.1822 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9061 loss: 0.9061 2022/08/01 11:20:59 - mmengine - INFO - Epoch(train) [58][260/940] lr: 1.0000e-03 eta: 8:37:07 time: 0.8604 data_time: 0.1067 memory: 13619 grad_norm: 4.1537 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9089 loss: 0.9089 2022/08/01 11:21:12 - mmengine - INFO - Epoch(train) [58][280/940] lr: 1.0000e-03 eta: 8:36:50 time: 0.6400 data_time: 0.2067 memory: 13619 grad_norm: 4.3303 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9931 loss: 0.9931 2022/08/01 11:21:29 - mmengine - INFO - Epoch(train) [58][300/940] lr: 1.0000e-03 eta: 8:36:35 time: 0.8452 data_time: 0.4641 memory: 13619 grad_norm: 4.2366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9622 loss: 0.9622 2022/08/01 11:21:44 - mmengine - INFO - Epoch(train) [58][320/940] lr: 1.0000e-03 eta: 8:36:19 time: 0.7232 data_time: 0.4168 memory: 13619 grad_norm: 4.3879 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0204 loss: 1.0204 2022/08/01 11:22:00 - mmengine - INFO - Epoch(train) [58][340/940] lr: 1.0000e-03 eta: 8:36:04 time: 0.8181 data_time: 0.5148 memory: 13619 grad_norm: 4.3224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1373 loss: 1.1373 2022/08/01 11:22:14 - mmengine - INFO - Epoch(train) [58][360/940] lr: 1.0000e-03 eta: 8:35:48 time: 0.6912 data_time: 0.3885 memory: 13619 grad_norm: 4.2141 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9858 loss: 0.9858 2022/08/01 11:22:32 - mmengine - INFO - Epoch(train) [58][380/940] lr: 1.0000e-03 eta: 8:35:34 time: 0.9165 data_time: 0.4669 memory: 13619 grad_norm: 4.3243 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9225 loss: 0.9225 2022/08/01 11:22:46 - mmengine - INFO - Epoch(train) [58][400/940] lr: 1.0000e-03 eta: 8:35:18 time: 0.6945 data_time: 0.2946 memory: 13619 grad_norm: 4.3000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9745 loss: 0.9745 2022/08/01 11:23:03 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 11:23:03 - mmengine - INFO - Epoch(train) [58][420/940] lr: 1.0000e-03 eta: 8:35:03 time: 0.8407 data_time: 0.3974 memory: 13619 grad_norm: 4.3329 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9100 loss: 0.9100 2022/08/01 11:23:16 - mmengine - INFO - Epoch(train) [58][440/940] lr: 1.0000e-03 eta: 8:34:46 time: 0.6731 data_time: 0.3012 memory: 13619 grad_norm: 4.2708 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8635 loss: 0.8635 2022/08/01 11:23:33 - mmengine - INFO - Epoch(train) [58][460/940] lr: 1.0000e-03 eta: 8:34:32 time: 0.8452 data_time: 0.5291 memory: 13619 grad_norm: 4.3588 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8587 loss: 0.8587 2022/08/01 11:23:47 - mmengine - INFO - Epoch(train) [58][480/940] lr: 1.0000e-03 eta: 8:34:15 time: 0.6792 data_time: 0.3586 memory: 13619 grad_norm: 4.3837 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9342 loss: 0.9342 2022/08/01 11:24:03 - mmengine - INFO - Epoch(train) [58][500/940] lr: 1.0000e-03 eta: 8:34:00 time: 0.8159 data_time: 0.4633 memory: 13619 grad_norm: 4.4730 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0304 loss: 1.0304 2022/08/01 11:24:17 - mmengine - INFO - Epoch(train) [58][520/940] lr: 1.0000e-03 eta: 8:33:43 time: 0.6727 data_time: 0.2467 memory: 13619 grad_norm: 4.3562 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9156 loss: 0.9156 2022/08/01 11:24:34 - mmengine - INFO - Epoch(train) [58][540/940] lr: 1.0000e-03 eta: 8:33:29 time: 0.8491 data_time: 0.2617 memory: 13619 grad_norm: 4.2932 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9995 loss: 0.9995 2022/08/01 11:24:47 - mmengine - INFO - Epoch(train) [58][560/940] lr: 1.0000e-03 eta: 8:33:12 time: 0.6578 data_time: 0.2909 memory: 13619 grad_norm: 4.4042 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9133 loss: 0.9133 2022/08/01 11:25:04 - mmengine - INFO - Epoch(train) [58][580/940] lr: 1.0000e-03 eta: 8:32:58 time: 0.8708 data_time: 0.4942 memory: 13619 grad_norm: 4.2079 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9218 loss: 0.9218 2022/08/01 11:25:18 - mmengine - INFO - Epoch(train) [58][600/940] lr: 1.0000e-03 eta: 8:32:41 time: 0.6729 data_time: 0.2468 memory: 13619 grad_norm: 4.3249 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9673 loss: 0.9673 2022/08/01 11:25:34 - mmengine - INFO - Epoch(train) [58][620/940] lr: 1.0000e-03 eta: 8:32:26 time: 0.8133 data_time: 0.4547 memory: 13619 grad_norm: 4.2518 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9121 loss: 0.9121 2022/08/01 11:25:48 - mmengine - INFO - Epoch(train) [58][640/940] lr: 1.0000e-03 eta: 8:32:10 time: 0.7323 data_time: 0.2393 memory: 13619 grad_norm: 4.2700 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8962 loss: 0.8962 2022/08/01 11:26:05 - mmengine - INFO - Epoch(train) [58][660/940] lr: 1.0000e-03 eta: 8:31:55 time: 0.8213 data_time: 0.4228 memory: 13619 grad_norm: 4.1483 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0148 loss: 1.0148 2022/08/01 11:26:19 - mmengine - INFO - Epoch(train) [58][680/940] lr: 1.0000e-03 eta: 8:31:39 time: 0.7059 data_time: 0.2620 memory: 13619 grad_norm: 4.3278 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9692 loss: 0.9692 2022/08/01 11:26:36 - mmengine - INFO - Epoch(train) [58][700/940] lr: 1.0000e-03 eta: 8:31:25 time: 0.8424 data_time: 0.3986 memory: 13619 grad_norm: 4.2961 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0427 loss: 1.0427 2022/08/01 11:26:50 - mmengine - INFO - Epoch(train) [58][720/940] lr: 1.0000e-03 eta: 8:31:08 time: 0.7224 data_time: 0.1720 memory: 13619 grad_norm: 4.3496 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9999 loss: 0.9999 2022/08/01 11:27:06 - mmengine - INFO - Epoch(train) [58][740/940] lr: 1.0000e-03 eta: 8:30:53 time: 0.7858 data_time: 0.2099 memory: 13619 grad_norm: 4.3167 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9018 loss: 0.9018 2022/08/01 11:27:21 - mmengine - INFO - Epoch(train) [58][760/940] lr: 1.0000e-03 eta: 8:30:37 time: 0.7593 data_time: 0.0935 memory: 13619 grad_norm: 4.4444 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0158 loss: 1.0158 2022/08/01 11:27:37 - mmengine - INFO - Epoch(train) [58][780/940] lr: 1.0000e-03 eta: 8:30:22 time: 0.7714 data_time: 0.1689 memory: 13619 grad_norm: 4.3875 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8656 loss: 0.8656 2022/08/01 11:27:52 - mmengine - INFO - Epoch(train) [58][800/940] lr: 1.0000e-03 eta: 8:30:07 time: 0.7726 data_time: 0.1083 memory: 13619 grad_norm: 4.2403 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0297 loss: 1.0297 2022/08/01 11:28:07 - mmengine - INFO - Epoch(train) [58][820/940] lr: 1.0000e-03 eta: 8:29:51 time: 0.7562 data_time: 0.2595 memory: 13619 grad_norm: 4.3870 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0148 loss: 1.0148 2022/08/01 11:28:21 - mmengine - INFO - Epoch(train) [58][840/940] lr: 1.0000e-03 eta: 8:29:34 time: 0.6849 data_time: 0.2923 memory: 13619 grad_norm: 4.3275 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9168 loss: 0.9168 2022/08/01 11:28:39 - mmengine - INFO - Epoch(train) [58][860/940] lr: 1.0000e-03 eta: 8:29:20 time: 0.8888 data_time: 0.5193 memory: 13619 grad_norm: 4.3245 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9624 loss: 0.9624 2022/08/01 11:28:52 - mmengine - INFO - Epoch(train) [58][880/940] lr: 1.0000e-03 eta: 8:29:03 time: 0.6537 data_time: 0.3274 memory: 13619 grad_norm: 4.1936 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8830 loss: 0.8830 2022/08/01 11:29:10 - mmengine - INFO - Epoch(train) [58][900/940] lr: 1.0000e-03 eta: 8:28:49 time: 0.8948 data_time: 0.5822 memory: 13619 grad_norm: 4.3958 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9460 loss: 0.9460 2022/08/01 11:29:24 - mmengine - INFO - Epoch(train) [58][920/940] lr: 1.0000e-03 eta: 8:28:33 time: 0.7053 data_time: 0.3698 memory: 13619 grad_norm: 4.3216 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8864 loss: 0.8864 2022/08/01 11:29:38 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 11:29:38 - mmengine - INFO - Epoch(train) [58][940/940] lr: 1.0000e-03 eta: 8:28:17 time: 0.7134 data_time: 0.3961 memory: 13619 grad_norm: 4.6540 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8621 loss: 0.8621 2022/08/01 11:29:55 - mmengine - INFO - Epoch(val) [58][20/78] eta: 0:00:50 time: 0.8631 data_time: 0.7642 memory: 2186 2022/08/01 11:30:08 - mmengine - INFO - Epoch(val) [58][40/78] eta: 0:00:23 time: 0.6177 data_time: 0.5198 memory: 2186 2022/08/01 11:30:24 - mmengine - INFO - Epoch(val) [58][60/78] eta: 0:00:14 time: 0.8280 data_time: 0.7350 memory: 2186 2022/08/01 11:30:37 - mmengine - INFO - Epoch(val) [58][78/78] acc/top1: 0.7076 acc/top5: 0.8942 acc/mean1: 0.7075 2022/08/01 11:30:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_54.pth is removed 2022/08/01 11:30:38 - mmengine - INFO - The best checkpoint with 0.7076 acc/top1 at 59 epoch is saved to best_acc/top1_epoch_59.pth. 2022/08/01 11:30:57 - mmengine - INFO - Epoch(train) [59][20/940] lr: 1.0000e-03 eta: 8:28:04 time: 0.9280 data_time: 0.6294 memory: 13619 grad_norm: 4.3697 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9891 loss: 0.9891 2022/08/01 11:31:10 - mmengine - INFO - Epoch(train) [59][40/940] lr: 1.0000e-03 eta: 8:27:46 time: 0.6598 data_time: 0.3363 memory: 13619 grad_norm: 4.3519 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9974 loss: 0.9974 2022/08/01 11:31:27 - mmengine - INFO - Epoch(train) [59][60/940] lr: 1.0000e-03 eta: 8:27:32 time: 0.8609 data_time: 0.4736 memory: 13619 grad_norm: 4.4371 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9225 loss: 0.9225 2022/08/01 11:31:42 - mmengine - INFO - Epoch(train) [59][80/940] lr: 1.0000e-03 eta: 8:27:16 time: 0.7152 data_time: 0.3504 memory: 13619 grad_norm: 4.3144 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0086 loss: 1.0086 2022/08/01 11:31:59 - mmengine - INFO - Epoch(train) [59][100/940] lr: 1.0000e-03 eta: 8:27:02 time: 0.8831 data_time: 0.3098 memory: 13619 grad_norm: 4.2902 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8371 loss: 0.8371 2022/08/01 11:32:13 - mmengine - INFO - Epoch(train) [59][120/940] lr: 1.0000e-03 eta: 8:26:45 time: 0.6663 data_time: 0.0982 memory: 13619 grad_norm: 4.2818 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9799 loss: 0.9799 2022/08/01 11:32:29 - mmengine - INFO - Epoch(train) [59][140/940] lr: 1.0000e-03 eta: 8:26:30 time: 0.8231 data_time: 0.1121 memory: 13619 grad_norm: 4.3689 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0094 loss: 1.0094 2022/08/01 11:32:44 - mmengine - INFO - Epoch(train) [59][160/940] lr: 1.0000e-03 eta: 8:26:15 time: 0.7393 data_time: 0.2042 memory: 13619 grad_norm: 4.3105 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9101 loss: 0.9101 2022/08/01 11:33:00 - mmengine - INFO - Epoch(train) [59][180/940] lr: 1.0000e-03 eta: 8:26:00 time: 0.8300 data_time: 0.2878 memory: 13619 grad_norm: 4.3500 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9260 loss: 0.9260 2022/08/01 11:33:14 - mmengine - INFO - Epoch(train) [59][200/940] lr: 1.0000e-03 eta: 8:25:43 time: 0.6870 data_time: 0.1174 memory: 13619 grad_norm: 4.2946 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9341 loss: 0.9341 2022/08/01 11:33:31 - mmengine - INFO - Epoch(train) [59][220/940] lr: 1.0000e-03 eta: 8:25:29 time: 0.8396 data_time: 0.1596 memory: 13619 grad_norm: 4.3727 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9716 loss: 0.9716 2022/08/01 11:33:44 - mmengine - INFO - Epoch(train) [59][240/940] lr: 1.0000e-03 eta: 8:25:12 time: 0.6701 data_time: 0.0392 memory: 13619 grad_norm: 4.4098 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9635 loss: 0.9635 2022/08/01 11:34:02 - mmengine - INFO - Epoch(train) [59][260/940] lr: 1.0000e-03 eta: 8:24:58 time: 0.8648 data_time: 0.0702 memory: 13619 grad_norm: 4.3754 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9793 loss: 0.9793 2022/08/01 11:34:14 - mmengine - INFO - Epoch(train) [59][280/940] lr: 1.0000e-03 eta: 8:24:40 time: 0.6335 data_time: 0.0361 memory: 13619 grad_norm: 4.2424 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9871 loss: 0.9871 2022/08/01 11:34:31 - mmengine - INFO - Epoch(train) [59][300/940] lr: 1.0000e-03 eta: 8:24:26 time: 0.8513 data_time: 0.0511 memory: 13619 grad_norm: 4.2827 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8571 loss: 0.8571 2022/08/01 11:34:45 - mmengine - INFO - Epoch(train) [59][320/940] lr: 1.0000e-03 eta: 8:24:09 time: 0.6617 data_time: 0.0451 memory: 13619 grad_norm: 4.2377 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9582 loss: 0.9582 2022/08/01 11:35:01 - mmengine - INFO - Epoch(train) [59][340/940] lr: 1.0000e-03 eta: 8:23:54 time: 0.8311 data_time: 0.0570 memory: 13619 grad_norm: 4.2646 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8717 loss: 0.8717 2022/08/01 11:35:16 - mmengine - INFO - Epoch(train) [59][360/940] lr: 1.0000e-03 eta: 8:23:38 time: 0.7260 data_time: 0.0399 memory: 13619 grad_norm: 4.4116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8972 loss: 0.8972 2022/08/01 11:35:33 - mmengine - INFO - Epoch(train) [59][380/940] lr: 1.0000e-03 eta: 8:23:24 time: 0.8700 data_time: 0.0460 memory: 13619 grad_norm: 4.3999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0335 loss: 1.0335 2022/08/01 11:35:46 - mmengine - INFO - Epoch(train) [59][400/940] lr: 1.0000e-03 eta: 8:23:07 time: 0.6450 data_time: 0.0319 memory: 13619 grad_norm: 4.3105 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8666 loss: 0.8666 2022/08/01 11:36:03 - mmengine - INFO - Epoch(train) [59][420/940] lr: 1.0000e-03 eta: 8:22:52 time: 0.8202 data_time: 0.0427 memory: 13619 grad_norm: 4.3727 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9802 loss: 0.9802 2022/08/01 11:36:16 - mmengine - INFO - Epoch(train) [59][440/940] lr: 1.0000e-03 eta: 8:22:35 time: 0.6915 data_time: 0.1047 memory: 13619 grad_norm: 4.3428 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 0.9525 loss: 0.9525 2022/08/01 11:36:34 - mmengine - INFO - Epoch(train) [59][460/940] lr: 1.0000e-03 eta: 8:22:22 time: 0.8788 data_time: 0.0978 memory: 13619 grad_norm: 4.3730 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0057 loss: 1.0057 2022/08/01 11:36:46 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 11:36:46 - mmengine - INFO - Epoch(train) [59][480/940] lr: 1.0000e-03 eta: 8:22:04 time: 0.6226 data_time: 0.0409 memory: 13619 grad_norm: 4.3499 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0547 loss: 1.0547 2022/08/01 11:37:04 - mmengine - INFO - Epoch(train) [59][500/940] lr: 1.0000e-03 eta: 8:21:50 time: 0.8810 data_time: 0.1280 memory: 13619 grad_norm: 4.2804 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8800 loss: 0.8800 2022/08/01 11:37:18 - mmengine - INFO - Epoch(train) [59][520/940] lr: 1.0000e-03 eta: 8:21:33 time: 0.6828 data_time: 0.2078 memory: 13619 grad_norm: 4.3919 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8961 loss: 0.8961 2022/08/01 11:37:34 - mmengine - INFO - Epoch(train) [59][540/940] lr: 1.0000e-03 eta: 8:21:19 time: 0.8321 data_time: 0.3731 memory: 13619 grad_norm: 4.3103 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8257 loss: 0.8257 2022/08/01 11:37:49 - mmengine - INFO - Epoch(train) [59][560/940] lr: 1.0000e-03 eta: 8:21:03 time: 0.7395 data_time: 0.2406 memory: 13619 grad_norm: 4.4279 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8427 loss: 0.8427 2022/08/01 11:38:06 - mmengine - INFO - Epoch(train) [59][580/940] lr: 1.0000e-03 eta: 8:20:49 time: 0.8529 data_time: 0.4174 memory: 13619 grad_norm: 4.3088 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0563 loss: 1.0563 2022/08/01 11:38:19 - mmengine - INFO - Epoch(train) [59][600/940] lr: 1.0000e-03 eta: 8:20:31 time: 0.6570 data_time: 0.2913 memory: 13619 grad_norm: 4.3275 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8882 loss: 0.8882 2022/08/01 11:38:36 - mmengine - INFO - Epoch(train) [59][620/940] lr: 1.0000e-03 eta: 8:20:17 time: 0.8536 data_time: 0.3632 memory: 13619 grad_norm: 4.3994 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1024 loss: 1.1024 2022/08/01 11:38:50 - mmengine - INFO - Epoch(train) [59][640/940] lr: 1.0000e-03 eta: 8:20:00 time: 0.6763 data_time: 0.2204 memory: 13619 grad_norm: 4.3669 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9161 loss: 0.9161 2022/08/01 11:39:07 - mmengine - INFO - Epoch(train) [59][660/940] lr: 1.0000e-03 eta: 8:19:46 time: 0.8568 data_time: 0.2782 memory: 13619 grad_norm: 4.4817 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8609 loss: 0.8609 2022/08/01 11:39:21 - mmengine - INFO - Epoch(train) [59][680/940] lr: 1.0000e-03 eta: 8:19:30 time: 0.7036 data_time: 0.2084 memory: 13619 grad_norm: 4.4391 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9328 loss: 0.9328 2022/08/01 11:39:38 - mmengine - INFO - Epoch(train) [59][700/940] lr: 1.0000e-03 eta: 8:19:15 time: 0.8311 data_time: 0.1326 memory: 13619 grad_norm: 4.3566 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9409 loss: 0.9409 2022/08/01 11:39:51 - mmengine - INFO - Epoch(train) [59][720/940] lr: 1.0000e-03 eta: 8:18:58 time: 0.6767 data_time: 0.1637 memory: 13619 grad_norm: 4.3193 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8932 loss: 0.8932 2022/08/01 11:40:08 - mmengine - INFO - Epoch(train) [59][740/940] lr: 1.0000e-03 eta: 8:18:43 time: 0.8134 data_time: 0.1074 memory: 13619 grad_norm: 4.2898 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9540 loss: 0.9540 2022/08/01 11:40:21 - mmengine - INFO - Epoch(train) [59][760/940] lr: 1.0000e-03 eta: 8:18:27 time: 0.6828 data_time: 0.0873 memory: 13619 grad_norm: 4.3723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8624 loss: 0.8624 2022/08/01 11:40:39 - mmengine - INFO - Epoch(train) [59][780/940] lr: 1.0000e-03 eta: 8:18:12 time: 0.8626 data_time: 0.2425 memory: 13619 grad_norm: 4.3867 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9616 loss: 0.9616 2022/08/01 11:40:52 - mmengine - INFO - Epoch(train) [59][800/940] lr: 1.0000e-03 eta: 8:17:56 time: 0.6755 data_time: 0.1107 memory: 13619 grad_norm: 4.3470 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8951 loss: 0.8951 2022/08/01 11:41:08 - mmengine - INFO - Epoch(train) [59][820/940] lr: 1.0000e-03 eta: 8:17:41 time: 0.8056 data_time: 0.1387 memory: 13619 grad_norm: 4.4198 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9724 loss: 0.9724 2022/08/01 11:41:23 - mmengine - INFO - Epoch(train) [59][840/940] lr: 1.0000e-03 eta: 8:17:25 time: 0.7455 data_time: 0.0442 memory: 13619 grad_norm: 4.3746 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9759 loss: 0.9759 2022/08/01 11:41:39 - mmengine - INFO - Epoch(train) [59][860/940] lr: 1.0000e-03 eta: 8:17:10 time: 0.8078 data_time: 0.0543 memory: 13619 grad_norm: 4.3399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9573 loss: 0.9573 2022/08/01 11:41:53 - mmengine - INFO - Epoch(train) [59][880/940] lr: 1.0000e-03 eta: 8:16:53 time: 0.6632 data_time: 0.0329 memory: 13619 grad_norm: 4.3729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8989 loss: 0.8989 2022/08/01 11:42:09 - mmengine - INFO - Epoch(train) [59][900/940] lr: 1.0000e-03 eta: 8:16:38 time: 0.8241 data_time: 0.0408 memory: 13619 grad_norm: 4.3686 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9522 loss: 0.9522 2022/08/01 11:42:23 - mmengine - INFO - Epoch(train) [59][920/940] lr: 1.0000e-03 eta: 8:16:22 time: 0.7057 data_time: 0.0331 memory: 13619 grad_norm: 4.2756 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8725 loss: 0.8725 2022/08/01 11:42:37 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 11:42:37 - mmengine - INFO - Epoch(train) [59][940/940] lr: 1.0000e-03 eta: 8:16:05 time: 0.6853 data_time: 0.0326 memory: 13619 grad_norm: 4.7102 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0064 loss: 1.0064 2022/08/01 11:42:54 - mmengine - INFO - Epoch(val) [59][20/78] eta: 0:00:50 time: 0.8741 data_time: 0.7773 memory: 2186 2022/08/01 11:43:06 - mmengine - INFO - Epoch(val) [59][40/78] eta: 0:00:22 time: 0.6017 data_time: 0.5089 memory: 2186 2022/08/01 11:43:23 - mmengine - INFO - Epoch(val) [59][60/78] eta: 0:00:14 time: 0.8055 data_time: 0.7110 memory: 2186 2022/08/01 11:43:36 - mmengine - INFO - Epoch(val) [59][78/78] acc/top1: 0.7050 acc/top5: 0.8935 acc/mean1: 0.7049 2022/08/01 11:43:55 - mmengine - INFO - Epoch(train) [60][20/940] lr: 1.0000e-03 eta: 8:15:52 time: 0.9455 data_time: 0.6144 memory: 13619 grad_norm: 4.3171 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9547 loss: 0.9547 2022/08/01 11:44:08 - mmengine - INFO - Epoch(train) [60][40/940] lr: 1.0000e-03 eta: 8:15:35 time: 0.6810 data_time: 0.2941 memory: 13619 grad_norm: 4.3035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0187 loss: 1.0187 2022/08/01 11:44:25 - mmengine - INFO - Epoch(train) [60][60/940] lr: 1.0000e-03 eta: 8:15:21 time: 0.8242 data_time: 0.4470 memory: 13619 grad_norm: 4.3313 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9863 loss: 0.9863 2022/08/01 11:44:38 - mmengine - INFO - Epoch(train) [60][80/940] lr: 1.0000e-03 eta: 8:15:04 time: 0.6877 data_time: 0.3078 memory: 13619 grad_norm: 4.3686 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.8621 loss: 0.8621 2022/08/01 11:44:55 - mmengine - INFO - Epoch(train) [60][100/940] lr: 1.0000e-03 eta: 8:14:50 time: 0.8513 data_time: 0.4289 memory: 13619 grad_norm: 4.3707 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0418 loss: 1.0418 2022/08/01 11:45:09 - mmengine - INFO - Epoch(train) [60][120/940] lr: 1.0000e-03 eta: 8:14:33 time: 0.6801 data_time: 0.1753 memory: 13619 grad_norm: 4.2347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9042 loss: 0.9042 2022/08/01 11:45:27 - mmengine - INFO - Epoch(train) [60][140/940] lr: 1.0000e-03 eta: 8:14:19 time: 0.8768 data_time: 0.2678 memory: 13619 grad_norm: 4.3160 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8674 loss: 0.8674 2022/08/01 11:45:40 - mmengine - INFO - Epoch(train) [60][160/940] lr: 1.0000e-03 eta: 8:14:02 time: 0.6689 data_time: 0.1261 memory: 13619 grad_norm: 4.3559 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9205 loss: 0.9205 2022/08/01 11:45:58 - mmengine - INFO - Epoch(train) [60][180/940] lr: 1.0000e-03 eta: 8:13:49 time: 0.9053 data_time: 0.1029 memory: 13619 grad_norm: 4.2899 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8989 loss: 0.8989 2022/08/01 11:46:12 - mmengine - INFO - Epoch(train) [60][200/940] lr: 1.0000e-03 eta: 8:13:32 time: 0.7121 data_time: 0.0423 memory: 13619 grad_norm: 4.3569 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9457 loss: 0.9457 2022/08/01 11:46:30 - mmengine - INFO - Epoch(train) [60][220/940] lr: 1.0000e-03 eta: 8:13:18 time: 0.8820 data_time: 0.0384 memory: 13619 grad_norm: 4.4065 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0314 loss: 1.0314 2022/08/01 11:46:42 - mmengine - INFO - Epoch(train) [60][240/940] lr: 1.0000e-03 eta: 8:13:01 time: 0.6209 data_time: 0.0331 memory: 13619 grad_norm: 4.3121 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9046 loss: 0.9046 2022/08/01 11:46:59 - mmengine - INFO - Epoch(train) [60][260/940] lr: 1.0000e-03 eta: 8:12:46 time: 0.8364 data_time: 0.2032 memory: 13619 grad_norm: 4.3801 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0392 loss: 1.0392 2022/08/01 11:47:13 - mmengine - INFO - Epoch(train) [60][280/940] lr: 1.0000e-03 eta: 8:12:30 time: 0.7049 data_time: 0.1179 memory: 13619 grad_norm: 4.2708 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8588 loss: 0.8588 2022/08/01 11:47:29 - mmengine - INFO - Epoch(train) [60][300/940] lr: 1.0000e-03 eta: 8:12:15 time: 0.7941 data_time: 0.2354 memory: 13619 grad_norm: 4.4443 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0967 loss: 1.0967 2022/08/01 11:47:43 - mmengine - INFO - Epoch(train) [60][320/940] lr: 1.0000e-03 eta: 8:11:58 time: 0.6831 data_time: 0.3152 memory: 13619 grad_norm: 4.3884 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9133 loss: 0.9133 2022/08/01 11:48:00 - mmengine - INFO - Epoch(train) [60][340/940] lr: 1.0000e-03 eta: 8:11:43 time: 0.8402 data_time: 0.3359 memory: 13619 grad_norm: 4.3122 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8194 loss: 0.8194 2022/08/01 11:48:15 - mmengine - INFO - Epoch(train) [60][360/940] lr: 1.0000e-03 eta: 8:11:28 time: 0.7716 data_time: 0.2119 memory: 13619 grad_norm: 4.3740 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8753 loss: 0.8753 2022/08/01 11:48:31 - mmengine - INFO - Epoch(train) [60][380/940] lr: 1.0000e-03 eta: 8:11:13 time: 0.7723 data_time: 0.2816 memory: 13619 grad_norm: 4.2907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9557 loss: 0.9557 2022/08/01 11:48:45 - mmengine - INFO - Epoch(train) [60][400/940] lr: 1.0000e-03 eta: 8:10:56 time: 0.6997 data_time: 0.2253 memory: 13619 grad_norm: 4.3792 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0537 loss: 1.0537 2022/08/01 11:49:01 - mmengine - INFO - Epoch(train) [60][420/940] lr: 1.0000e-03 eta: 8:10:41 time: 0.8157 data_time: 0.4405 memory: 13619 grad_norm: 4.3692 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9215 loss: 0.9215 2022/08/01 11:49:15 - mmengine - INFO - Epoch(train) [60][440/940] lr: 1.0000e-03 eta: 8:10:25 time: 0.7261 data_time: 0.2866 memory: 13619 grad_norm: 4.3634 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9201 loss: 0.9201 2022/08/01 11:49:32 - mmengine - INFO - Epoch(train) [60][460/940] lr: 1.0000e-03 eta: 8:10:10 time: 0.8267 data_time: 0.3909 memory: 13619 grad_norm: 4.3708 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9426 loss: 0.9426 2022/08/01 11:49:46 - mmengine - INFO - Epoch(train) [60][480/940] lr: 1.0000e-03 eta: 8:09:54 time: 0.7104 data_time: 0.3755 memory: 13619 grad_norm: 4.3876 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9694 loss: 0.9694 2022/08/01 11:50:02 - mmengine - INFO - Epoch(train) [60][500/940] lr: 1.0000e-03 eta: 8:09:39 time: 0.8037 data_time: 0.4449 memory: 13619 grad_norm: 4.3648 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9715 loss: 0.9715 2022/08/01 11:50:17 - mmengine - INFO - Epoch(train) [60][520/940] lr: 1.0000e-03 eta: 8:09:23 time: 0.7384 data_time: 0.2126 memory: 13619 grad_norm: 4.3827 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9550 loss: 0.9550 2022/08/01 11:50:33 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 11:50:33 - mmengine - INFO - Epoch(train) [60][540/940] lr: 1.0000e-03 eta: 8:09:08 time: 0.8141 data_time: 0.4530 memory: 13619 grad_norm: 4.4419 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9037 loss: 0.9037 2022/08/01 11:50:47 - mmengine - INFO - Epoch(train) [60][560/940] lr: 1.0000e-03 eta: 8:08:52 time: 0.7041 data_time: 0.3557 memory: 13619 grad_norm: 4.2390 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9013 loss: 0.9013 2022/08/01 11:51:03 - mmengine - INFO - Epoch(train) [60][580/940] lr: 1.0000e-03 eta: 8:08:37 time: 0.7892 data_time: 0.3685 memory: 13619 grad_norm: 4.2464 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9250 loss: 0.9250 2022/08/01 11:51:18 - mmengine - INFO - Epoch(train) [60][600/940] lr: 1.0000e-03 eta: 8:08:21 time: 0.7577 data_time: 0.2372 memory: 13619 grad_norm: 4.3449 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9867 loss: 0.9867 2022/08/01 11:51:32 - mmengine - INFO - Epoch(train) [60][620/940] lr: 1.0000e-03 eta: 8:08:05 time: 0.7037 data_time: 0.1620 memory: 13619 grad_norm: 4.3332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0014 loss: 1.0014 2022/08/01 11:51:49 - mmengine - INFO - Epoch(train) [60][640/940] lr: 1.0000e-03 eta: 8:07:50 time: 0.8173 data_time: 0.0648 memory: 13619 grad_norm: 4.3237 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8915 loss: 0.8915 2022/08/01 11:52:03 - mmengine - INFO - Epoch(train) [60][660/940] lr: 1.0000e-03 eta: 8:07:34 time: 0.6999 data_time: 0.0380 memory: 13619 grad_norm: 4.4424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0610 loss: 1.0610 2022/08/01 11:52:18 - mmengine - INFO - Epoch(train) [60][680/940] lr: 1.0000e-03 eta: 8:07:18 time: 0.7751 data_time: 0.0494 memory: 13619 grad_norm: 4.2924 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8327 loss: 0.8327 2022/08/01 11:52:33 - mmengine - INFO - Epoch(train) [60][700/940] lr: 1.0000e-03 eta: 8:07:02 time: 0.7501 data_time: 0.1530 memory: 13619 grad_norm: 4.4434 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9329 loss: 0.9329 2022/08/01 11:52:49 - mmengine - INFO - Epoch(train) [60][720/940] lr: 1.0000e-03 eta: 8:06:47 time: 0.7841 data_time: 0.1592 memory: 13619 grad_norm: 4.4346 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9048 loss: 0.9048 2022/08/01 11:53:05 - mmengine - INFO - Epoch(train) [60][740/940] lr: 1.0000e-03 eta: 8:06:32 time: 0.7807 data_time: 0.3071 memory: 13619 grad_norm: 4.4019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9686 loss: 0.9686 2022/08/01 11:53:18 - mmengine - INFO - Epoch(train) [60][760/940] lr: 1.0000e-03 eta: 8:06:15 time: 0.6878 data_time: 0.3225 memory: 13619 grad_norm: 4.4144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9142 loss: 0.9142 2022/08/01 11:53:36 - mmengine - INFO - Epoch(train) [60][780/940] lr: 1.0000e-03 eta: 8:06:01 time: 0.8900 data_time: 0.3360 memory: 13619 grad_norm: 4.3728 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9286 loss: 0.9286 2022/08/01 11:53:49 - mmengine - INFO - Epoch(train) [60][800/940] lr: 1.0000e-03 eta: 8:05:44 time: 0.6634 data_time: 0.1509 memory: 13619 grad_norm: 4.3421 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9032 loss: 0.9032 2022/08/01 11:54:06 - mmengine - INFO - Epoch(train) [60][820/940] lr: 1.0000e-03 eta: 8:05:30 time: 0.8542 data_time: 0.1835 memory: 13619 grad_norm: 4.4338 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9694 loss: 0.9694 2022/08/01 11:54:21 - mmengine - INFO - Epoch(train) [60][840/940] lr: 1.0000e-03 eta: 8:05:14 time: 0.7107 data_time: 0.0592 memory: 13619 grad_norm: 4.4041 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9650 loss: 0.9650 2022/08/01 11:54:37 - mmengine - INFO - Epoch(train) [60][860/940] lr: 1.0000e-03 eta: 8:04:59 time: 0.8051 data_time: 0.0477 memory: 13619 grad_norm: 4.4038 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9788 loss: 0.9788 2022/08/01 11:54:52 - mmengine - INFO - Epoch(train) [60][880/940] lr: 1.0000e-03 eta: 8:04:43 time: 0.7450 data_time: 0.0428 memory: 13619 grad_norm: 4.4282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0042 loss: 1.0042 2022/08/01 11:55:08 - mmengine - INFO - Epoch(train) [60][900/940] lr: 1.0000e-03 eta: 8:04:28 time: 0.8036 data_time: 0.0943 memory: 13619 grad_norm: 4.4125 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9147 loss: 0.9147 2022/08/01 11:55:21 - mmengine - INFO - Epoch(train) [60][920/940] lr: 1.0000e-03 eta: 8:04:11 time: 0.6796 data_time: 0.0815 memory: 13619 grad_norm: 4.4470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9644 loss: 0.9644 2022/08/01 11:55:37 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 11:55:37 - mmengine - INFO - Epoch(train) [60][940/940] lr: 1.0000e-03 eta: 8:03:56 time: 0.7705 data_time: 0.0271 memory: 13619 grad_norm: 4.6244 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9070 loss: 0.9070 2022/08/01 11:55:37 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/01 11:55:56 - mmengine - INFO - Epoch(val) [60][20/78] eta: 0:00:50 time: 0.8641 data_time: 0.7740 memory: 2186 2022/08/01 11:56:08 - mmengine - INFO - Epoch(val) [60][40/78] eta: 0:00:22 time: 0.5910 data_time: 0.5007 memory: 2186 2022/08/01 11:56:25 - mmengine - INFO - Epoch(val) [60][60/78] eta: 0:00:14 time: 0.8290 data_time: 0.7367 memory: 2186 2022/08/01 11:56:38 - mmengine - INFO - Epoch(val) [60][78/78] acc/top1: 0.7052 acc/top5: 0.8937 acc/mean1: 0.7051 2022/08/01 11:56:57 - mmengine - INFO - Epoch(train) [61][20/940] lr: 1.0000e-03 eta: 8:03:43 time: 0.9506 data_time: 0.5522 memory: 13619 grad_norm: 4.2795 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8231 loss: 0.8231 2022/08/01 11:57:11 - mmengine - INFO - Epoch(train) [61][40/940] lr: 1.0000e-03 eta: 8:03:27 time: 0.7280 data_time: 0.2957 memory: 13619 grad_norm: 4.3908 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9323 loss: 0.9323 2022/08/01 11:57:28 - mmengine - INFO - Epoch(train) [61][60/940] lr: 1.0000e-03 eta: 8:03:12 time: 0.8507 data_time: 0.1619 memory: 13619 grad_norm: 4.2988 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0109 loss: 1.0109 2022/08/01 11:57:42 - mmengine - INFO - Epoch(train) [61][80/940] lr: 1.0000e-03 eta: 8:02:56 time: 0.7016 data_time: 0.0531 memory: 13619 grad_norm: 4.3535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9894 loss: 0.9894 2022/08/01 11:58:00 - mmengine - INFO - Epoch(train) [61][100/940] lr: 1.0000e-03 eta: 8:02:42 time: 0.8834 data_time: 0.0404 memory: 13619 grad_norm: 4.4170 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9026 loss: 0.9026 2022/08/01 11:58:13 - mmengine - INFO - Epoch(train) [61][120/940] lr: 1.0000e-03 eta: 8:02:25 time: 0.6325 data_time: 0.0303 memory: 13619 grad_norm: 4.3351 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8900 loss: 0.8900 2022/08/01 11:58:31 - mmengine - INFO - Epoch(train) [61][140/940] lr: 1.0000e-03 eta: 8:02:11 time: 0.8979 data_time: 0.0425 memory: 13619 grad_norm: 4.3555 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9203 loss: 0.9203 2022/08/01 11:58:44 - mmengine - INFO - Epoch(train) [61][160/940] lr: 1.0000e-03 eta: 8:01:54 time: 0.6649 data_time: 0.0384 memory: 13619 grad_norm: 4.3386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9778 loss: 0.9778 2022/08/01 11:59:01 - mmengine - INFO - Epoch(train) [61][180/940] lr: 1.0000e-03 eta: 8:01:40 time: 0.8638 data_time: 0.0529 memory: 13619 grad_norm: 4.3483 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8784 loss: 0.8784 2022/08/01 11:59:15 - mmengine - INFO - Epoch(train) [61][200/940] lr: 1.0000e-03 eta: 8:01:23 time: 0.6682 data_time: 0.0361 memory: 13619 grad_norm: 4.4000 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9744 loss: 0.9744 2022/08/01 11:59:32 - mmengine - INFO - Epoch(train) [61][220/940] lr: 1.0000e-03 eta: 8:01:09 time: 0.8740 data_time: 0.0415 memory: 13619 grad_norm: 4.2801 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9323 loss: 0.9323 2022/08/01 11:59:46 - mmengine - INFO - Epoch(train) [61][240/940] lr: 1.0000e-03 eta: 8:00:52 time: 0.6691 data_time: 0.0381 memory: 13619 grad_norm: 4.4181 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9721 loss: 0.9721 2022/08/01 12:00:06 - mmengine - INFO - Epoch(train) [61][260/940] lr: 1.0000e-03 eta: 8:00:40 time: 1.0203 data_time: 0.0394 memory: 13619 grad_norm: 4.4309 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0024 loss: 1.0024 2022/08/01 12:00:18 - mmengine - INFO - Epoch(train) [61][280/940] lr: 1.0000e-03 eta: 8:00:22 time: 0.6101 data_time: 0.0399 memory: 13619 grad_norm: 4.3315 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9445 loss: 0.9445 2022/08/01 12:00:35 - mmengine - INFO - Epoch(train) [61][300/940] lr: 1.0000e-03 eta: 8:00:08 time: 0.8444 data_time: 0.0373 memory: 13619 grad_norm: 4.3599 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9181 loss: 0.9181 2022/08/01 12:00:50 - mmengine - INFO - Epoch(train) [61][320/940] lr: 1.0000e-03 eta: 7:59:52 time: 0.7229 data_time: 0.0402 memory: 13619 grad_norm: 4.4735 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9960 loss: 0.9960 2022/08/01 12:01:05 - mmengine - INFO - Epoch(train) [61][340/940] lr: 1.0000e-03 eta: 7:59:36 time: 0.7812 data_time: 0.0381 memory: 13619 grad_norm: 4.4426 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9657 loss: 0.9657 2022/08/01 12:01:19 - mmengine - INFO - Epoch(train) [61][360/940] lr: 1.0000e-03 eta: 7:59:20 time: 0.6961 data_time: 0.0353 memory: 13619 grad_norm: 4.3575 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0263 loss: 1.0263 2022/08/01 12:01:37 - mmengine - INFO - Epoch(train) [61][380/940] lr: 1.0000e-03 eta: 7:59:06 time: 0.8871 data_time: 0.0341 memory: 13619 grad_norm: 4.3716 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9673 loss: 0.9673 2022/08/01 12:01:50 - mmengine - INFO - Epoch(train) [61][400/940] lr: 1.0000e-03 eta: 7:58:49 time: 0.6692 data_time: 0.0359 memory: 13619 grad_norm: 4.3449 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8730 loss: 0.8730 2022/08/01 12:02:08 - mmengine - INFO - Epoch(train) [61][420/940] lr: 1.0000e-03 eta: 7:58:35 time: 0.8871 data_time: 0.0361 memory: 13619 grad_norm: 4.3026 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8980 loss: 0.8980 2022/08/01 12:02:20 - mmengine - INFO - Epoch(train) [61][440/940] lr: 1.0000e-03 eta: 7:58:18 time: 0.6209 data_time: 0.0384 memory: 13619 grad_norm: 4.2720 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9116 loss: 0.9116 2022/08/01 12:02:39 - mmengine - INFO - Epoch(train) [61][460/940] lr: 1.0000e-03 eta: 7:58:04 time: 0.9190 data_time: 0.0389 memory: 13619 grad_norm: 4.4805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8891 loss: 0.8891 2022/08/01 12:02:51 - mmengine - INFO - Epoch(train) [61][480/940] lr: 1.0000e-03 eta: 7:57:47 time: 0.6165 data_time: 0.0346 memory: 13619 grad_norm: 4.4449 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8351 loss: 0.8351 2022/08/01 12:03:08 - mmengine - INFO - Epoch(train) [61][500/940] lr: 1.0000e-03 eta: 7:57:32 time: 0.8460 data_time: 0.0417 memory: 13619 grad_norm: 4.3830 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9923 loss: 0.9923 2022/08/01 12:03:22 - mmengine - INFO - Epoch(train) [61][520/940] lr: 1.0000e-03 eta: 7:57:16 time: 0.6862 data_time: 0.0380 memory: 13619 grad_norm: 4.5410 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9410 loss: 0.9410 2022/08/01 12:03:39 - mmengine - INFO - Epoch(train) [61][540/940] lr: 1.0000e-03 eta: 7:57:01 time: 0.8359 data_time: 0.0417 memory: 13619 grad_norm: 4.3398 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9586 loss: 0.9586 2022/08/01 12:03:52 - mmengine - INFO - Epoch(train) [61][560/940] lr: 1.0000e-03 eta: 7:56:44 time: 0.6773 data_time: 0.0413 memory: 13619 grad_norm: 4.2920 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9812 loss: 0.9812 2022/08/01 12:04:09 - mmengine - INFO - Epoch(train) [61][580/940] lr: 1.0000e-03 eta: 7:56:30 time: 0.8488 data_time: 0.0493 memory: 13619 grad_norm: 4.2445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9430 loss: 0.9430 2022/08/01 12:04:23 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 12:04:23 - mmengine - INFO - Epoch(train) [61][600/940] lr: 1.0000e-03 eta: 7:56:13 time: 0.6934 data_time: 0.0380 memory: 13619 grad_norm: 4.3249 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/01 12:04:39 - mmengine - INFO - Epoch(train) [61][620/940] lr: 1.0000e-03 eta: 7:55:59 time: 0.8182 data_time: 0.0400 memory: 13619 grad_norm: 4.3310 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9405 loss: 0.9405 2022/08/01 12:04:55 - mmengine - INFO - Epoch(train) [61][640/940] lr: 1.0000e-03 eta: 7:55:43 time: 0.7696 data_time: 0.0340 memory: 13619 grad_norm: 4.3251 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0064 loss: 1.0064 2022/08/01 12:05:10 - mmengine - INFO - Epoch(train) [61][660/940] lr: 1.0000e-03 eta: 7:55:28 time: 0.7581 data_time: 0.0644 memory: 13619 grad_norm: 4.4401 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9587 loss: 0.9587 2022/08/01 12:05:26 - mmengine - INFO - Epoch(train) [61][680/940] lr: 1.0000e-03 eta: 7:55:13 time: 0.8205 data_time: 0.0306 memory: 13619 grad_norm: 4.2689 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8476 loss: 0.8476 2022/08/01 12:05:41 - mmengine - INFO - Epoch(train) [61][700/940] lr: 1.0000e-03 eta: 7:54:57 time: 0.7311 data_time: 0.0401 memory: 13619 grad_norm: 4.4864 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9052 loss: 0.9052 2022/08/01 12:05:55 - mmengine - INFO - Epoch(train) [61][720/940] lr: 1.0000e-03 eta: 7:54:40 time: 0.7093 data_time: 0.0306 memory: 13619 grad_norm: 4.3936 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8814 loss: 0.8814 2022/08/01 12:06:12 - mmengine - INFO - Epoch(train) [61][740/940] lr: 1.0000e-03 eta: 7:54:26 time: 0.8578 data_time: 0.0406 memory: 13619 grad_norm: 4.4580 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9210 loss: 0.9210 2022/08/01 12:06:27 - mmengine - INFO - Epoch(train) [61][760/940] lr: 1.0000e-03 eta: 7:54:10 time: 0.7228 data_time: 0.0364 memory: 13619 grad_norm: 4.3922 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9821 loss: 0.9821 2022/08/01 12:06:44 - mmengine - INFO - Epoch(train) [61][780/940] lr: 1.0000e-03 eta: 7:53:55 time: 0.8374 data_time: 0.0350 memory: 13619 grad_norm: 4.5022 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9343 loss: 0.9343 2022/08/01 12:06:58 - mmengine - INFO - Epoch(train) [61][800/940] lr: 1.0000e-03 eta: 7:53:39 time: 0.7154 data_time: 0.0408 memory: 13619 grad_norm: 4.4782 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.9339 loss: 0.9339 2022/08/01 12:07:13 - mmengine - INFO - Epoch(train) [61][820/940] lr: 1.0000e-03 eta: 7:53:24 time: 0.7801 data_time: 0.0396 memory: 13619 grad_norm: 4.4185 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8697 loss: 0.8697 2022/08/01 12:07:28 - mmengine - INFO - Epoch(train) [61][840/940] lr: 1.0000e-03 eta: 7:53:08 time: 0.7075 data_time: 0.0473 memory: 13619 grad_norm: 4.3486 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0491 loss: 1.0491 2022/08/01 12:07:44 - mmengine - INFO - Epoch(train) [61][860/940] lr: 1.0000e-03 eta: 7:52:53 time: 0.8085 data_time: 0.0478 memory: 13619 grad_norm: 4.3454 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0255 loss: 1.0255 2022/08/01 12:07:58 - mmengine - INFO - Epoch(train) [61][880/940] lr: 1.0000e-03 eta: 7:52:36 time: 0.7105 data_time: 0.0383 memory: 13619 grad_norm: 4.5826 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9738 loss: 0.9738 2022/08/01 12:08:14 - mmengine - INFO - Epoch(train) [61][900/940] lr: 1.0000e-03 eta: 7:52:21 time: 0.8134 data_time: 0.0508 memory: 13619 grad_norm: 4.4064 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8464 loss: 0.8464 2022/08/01 12:08:30 - mmengine - INFO - Epoch(train) [61][920/940] lr: 1.0000e-03 eta: 7:52:06 time: 0.7984 data_time: 0.0446 memory: 13619 grad_norm: 4.3880 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8964 loss: 0.8964 2022/08/01 12:08:41 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 12:08:41 - mmengine - INFO - Epoch(train) [61][940/940] lr: 1.0000e-03 eta: 7:51:48 time: 0.5563 data_time: 0.0256 memory: 13619 grad_norm: 4.6286 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/08/01 12:08:59 - mmengine - INFO - Epoch(val) [61][20/78] eta: 0:00:49 time: 0.8528 data_time: 0.7423 memory: 2186 2022/08/01 12:09:11 - mmengine - INFO - Epoch(val) [61][40/78] eta: 0:00:22 time: 0.6008 data_time: 0.5038 memory: 2186 2022/08/01 12:09:27 - mmengine - INFO - Epoch(val) [61][60/78] eta: 0:00:14 time: 0.8209 data_time: 0.7279 memory: 2186 2022/08/01 12:09:40 - mmengine - INFO - Epoch(val) [61][78/78] acc/top1: 0.7037 acc/top5: 0.8946 acc/mean1: 0.7036 2022/08/01 12:10:00 - mmengine - INFO - Epoch(train) [62][20/940] lr: 1.0000e-03 eta: 7:51:35 time: 0.9774 data_time: 0.6048 memory: 13619 grad_norm: 4.3900 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0073 loss: 1.0073 2022/08/01 12:10:13 - mmengine - INFO - Epoch(train) [62][40/940] lr: 1.0000e-03 eta: 7:51:19 time: 0.6702 data_time: 0.2648 memory: 13619 grad_norm: 4.3766 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0897 loss: 1.0897 2022/08/01 12:10:30 - mmengine - INFO - Epoch(train) [62][60/940] lr: 1.0000e-03 eta: 7:51:04 time: 0.8588 data_time: 0.2818 memory: 13619 grad_norm: 4.3318 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9780 loss: 0.9780 2022/08/01 12:10:43 - mmengine - INFO - Epoch(train) [62][80/940] lr: 1.0000e-03 eta: 7:50:47 time: 0.6403 data_time: 0.1919 memory: 13619 grad_norm: 4.4006 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9031 loss: 0.9031 2022/08/01 12:11:00 - mmengine - INFO - Epoch(train) [62][100/940] lr: 1.0000e-03 eta: 7:50:33 time: 0.8492 data_time: 0.2699 memory: 13619 grad_norm: 4.3776 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9083 loss: 0.9083 2022/08/01 12:11:14 - mmengine - INFO - Epoch(train) [62][120/940] lr: 1.0000e-03 eta: 7:50:16 time: 0.7059 data_time: 0.2421 memory: 13619 grad_norm: 4.3197 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8155 loss: 0.8155 2022/08/01 12:11:32 - mmengine - INFO - Epoch(train) [62][140/940] lr: 1.0000e-03 eta: 7:50:02 time: 0.8784 data_time: 0.1940 memory: 13619 grad_norm: 4.3851 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/08/01 12:11:46 - mmengine - INFO - Epoch(train) [62][160/940] lr: 1.0000e-03 eta: 7:49:46 time: 0.6969 data_time: 0.0317 memory: 13619 grad_norm: 4.4328 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.9208 loss: 0.9208 2022/08/01 12:12:03 - mmengine - INFO - Epoch(train) [62][180/940] lr: 1.0000e-03 eta: 7:49:31 time: 0.8420 data_time: 0.0531 memory: 13619 grad_norm: 4.3964 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8979 loss: 0.8979 2022/08/01 12:12:17 - mmengine - INFO - Epoch(train) [62][200/940] lr: 1.0000e-03 eta: 7:49:15 time: 0.7116 data_time: 0.0341 memory: 13619 grad_norm: 4.3419 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9565 loss: 0.9565 2022/08/01 12:12:33 - mmengine - INFO - Epoch(train) [62][220/940] lr: 1.0000e-03 eta: 7:49:00 time: 0.8138 data_time: 0.0389 memory: 13619 grad_norm: 4.3482 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9272 loss: 0.9272 2022/08/01 12:12:48 - mmengine - INFO - Epoch(train) [62][240/940] lr: 1.0000e-03 eta: 7:48:44 time: 0.7432 data_time: 0.0380 memory: 13619 grad_norm: 4.4106 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9511 loss: 0.9511 2022/08/01 12:13:03 - mmengine - INFO - Epoch(train) [62][260/940] lr: 1.0000e-03 eta: 7:48:29 time: 0.7461 data_time: 0.0371 memory: 13619 grad_norm: 4.3166 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7725 loss: 0.7725 2022/08/01 12:13:18 - mmengine - INFO - Epoch(train) [62][280/940] lr: 1.0000e-03 eta: 7:48:13 time: 0.7571 data_time: 0.0462 memory: 13619 grad_norm: 4.4055 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9523 loss: 0.9523 2022/08/01 12:13:33 - mmengine - INFO - Epoch(train) [62][300/940] lr: 1.0000e-03 eta: 7:47:57 time: 0.7667 data_time: 0.0377 memory: 13619 grad_norm: 4.4108 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9606 loss: 0.9606 2022/08/01 12:13:49 - mmengine - INFO - Epoch(train) [62][320/940] lr: 1.0000e-03 eta: 7:47:42 time: 0.7519 data_time: 0.0349 memory: 13619 grad_norm: 4.3537 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9821 loss: 0.9821 2022/08/01 12:14:06 - mmengine - INFO - Epoch(train) [62][340/940] lr: 1.0000e-03 eta: 7:47:28 time: 0.8777 data_time: 0.0378 memory: 13619 grad_norm: 4.4469 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9140 loss: 0.9140 2022/08/01 12:14:20 - mmengine - INFO - Epoch(train) [62][360/940] lr: 1.0000e-03 eta: 7:47:11 time: 0.6759 data_time: 0.0432 memory: 13619 grad_norm: 4.5116 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9274 loss: 0.9274 2022/08/01 12:14:37 - mmengine - INFO - Epoch(train) [62][380/940] lr: 1.0000e-03 eta: 7:46:57 time: 0.8629 data_time: 0.0328 memory: 13619 grad_norm: 4.4277 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8618 loss: 0.8618 2022/08/01 12:14:49 - mmengine - INFO - Epoch(train) [62][400/940] lr: 1.0000e-03 eta: 7:46:39 time: 0.6151 data_time: 0.0337 memory: 13619 grad_norm: 4.4030 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8745 loss: 0.8745 2022/08/01 12:15:05 - mmengine - INFO - Epoch(train) [62][420/940] lr: 1.0000e-03 eta: 7:46:24 time: 0.8039 data_time: 0.0354 memory: 13619 grad_norm: 4.3514 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9334 loss: 0.9334 2022/08/01 12:15:19 - mmengine - INFO - Epoch(train) [62][440/940] lr: 1.0000e-03 eta: 7:46:08 time: 0.6865 data_time: 0.0367 memory: 13619 grad_norm: 4.2865 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0258 loss: 1.0258 2022/08/01 12:15:36 - mmengine - INFO - Epoch(train) [62][460/940] lr: 1.0000e-03 eta: 7:45:53 time: 0.8571 data_time: 0.0402 memory: 13619 grad_norm: 4.3189 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8814 loss: 0.8814 2022/08/01 12:15:50 - mmengine - INFO - Epoch(train) [62][480/940] lr: 1.0000e-03 eta: 7:45:37 time: 0.7101 data_time: 0.0466 memory: 13619 grad_norm: 4.3074 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9733 loss: 0.9733 2022/08/01 12:16:07 - mmengine - INFO - Epoch(train) [62][500/940] lr: 1.0000e-03 eta: 7:45:23 time: 0.8404 data_time: 0.0414 memory: 13619 grad_norm: 4.4002 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9476 loss: 0.9476 2022/08/01 12:16:21 - mmengine - INFO - Epoch(train) [62][520/940] lr: 1.0000e-03 eta: 7:45:06 time: 0.6900 data_time: 0.0382 memory: 13619 grad_norm: 4.5317 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8628 loss: 0.8628 2022/08/01 12:16:39 - mmengine - INFO - Epoch(train) [62][540/940] lr: 1.0000e-03 eta: 7:44:52 time: 0.8807 data_time: 0.0439 memory: 13619 grad_norm: 4.4139 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9092 loss: 0.9092 2022/08/01 12:16:53 - mmengine - INFO - Epoch(train) [62][560/940] lr: 1.0000e-03 eta: 7:44:36 time: 0.7049 data_time: 0.0656 memory: 13619 grad_norm: 4.5470 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9929 loss: 0.9929 2022/08/01 12:17:09 - mmengine - INFO - Epoch(train) [62][580/940] lr: 1.0000e-03 eta: 7:44:21 time: 0.8304 data_time: 0.0372 memory: 13619 grad_norm: 4.4476 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8915 loss: 0.8915 2022/08/01 12:17:23 - mmengine - INFO - Epoch(train) [62][600/940] lr: 1.0000e-03 eta: 7:44:05 time: 0.6923 data_time: 0.0405 memory: 13619 grad_norm: 4.2996 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0233 loss: 1.0233 2022/08/01 12:17:40 - mmengine - INFO - Epoch(train) [62][620/940] lr: 1.0000e-03 eta: 7:43:50 time: 0.8168 data_time: 0.0388 memory: 13619 grad_norm: 4.4475 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0004 loss: 1.0004 2022/08/01 12:17:54 - mmengine - INFO - Epoch(train) [62][640/940] lr: 1.0000e-03 eta: 7:43:34 time: 0.7474 data_time: 0.0391 memory: 13619 grad_norm: 4.3485 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9033 loss: 0.9033 2022/08/01 12:18:11 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 12:18:11 - mmengine - INFO - Epoch(train) [62][660/940] lr: 1.0000e-03 eta: 7:43:19 time: 0.8415 data_time: 0.0408 memory: 13619 grad_norm: 4.4730 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9281 loss: 0.9281 2022/08/01 12:18:25 - mmengine - INFO - Epoch(train) [62][680/940] lr: 1.0000e-03 eta: 7:43:03 time: 0.6693 data_time: 0.0439 memory: 13619 grad_norm: 4.4175 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9906 loss: 0.9906 2022/08/01 12:18:42 - mmengine - INFO - Epoch(train) [62][700/940] lr: 1.0000e-03 eta: 7:42:48 time: 0.8658 data_time: 0.0388 memory: 13619 grad_norm: 4.4096 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9201 loss: 0.9201 2022/08/01 12:18:55 - mmengine - INFO - Epoch(train) [62][720/940] lr: 1.0000e-03 eta: 7:42:32 time: 0.6658 data_time: 0.0420 memory: 13619 grad_norm: 4.3650 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7706 loss: 0.7706 2022/08/01 12:19:12 - mmengine - INFO - Epoch(train) [62][740/940] lr: 1.0000e-03 eta: 7:42:17 time: 0.8542 data_time: 0.0434 memory: 13619 grad_norm: 4.2932 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/01 12:19:27 - mmengine - INFO - Epoch(train) [62][760/940] lr: 1.0000e-03 eta: 7:42:01 time: 0.7045 data_time: 0.0410 memory: 13619 grad_norm: 4.4188 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9238 loss: 0.9238 2022/08/01 12:19:43 - mmengine - INFO - Epoch(train) [62][780/940] lr: 1.0000e-03 eta: 7:41:46 time: 0.8241 data_time: 0.0351 memory: 13619 grad_norm: 4.4366 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9037 loss: 0.9037 2022/08/01 12:19:57 - mmengine - INFO - Epoch(train) [62][800/940] lr: 1.0000e-03 eta: 7:41:29 time: 0.6815 data_time: 0.0390 memory: 13619 grad_norm: 4.4611 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8459 loss: 0.8459 2022/08/01 12:20:13 - mmengine - INFO - Epoch(train) [62][820/940] lr: 1.0000e-03 eta: 7:41:15 time: 0.8405 data_time: 0.0403 memory: 13619 grad_norm: 4.5209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9855 loss: 0.9855 2022/08/01 12:20:28 - mmengine - INFO - Epoch(train) [62][840/940] lr: 1.0000e-03 eta: 7:40:59 time: 0.7375 data_time: 0.0358 memory: 13619 grad_norm: 4.2721 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9487 loss: 0.9487 2022/08/01 12:20:43 - mmengine - INFO - Epoch(train) [62][860/940] lr: 1.0000e-03 eta: 7:40:43 time: 0.7516 data_time: 0.0371 memory: 13619 grad_norm: 4.4107 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9782 loss: 0.9782 2022/08/01 12:20:59 - mmengine - INFO - Epoch(train) [62][880/940] lr: 1.0000e-03 eta: 7:40:28 time: 0.7687 data_time: 0.0351 memory: 13619 grad_norm: 4.4418 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9351 loss: 0.9351 2022/08/01 12:21:14 - mmengine - INFO - Epoch(train) [62][900/940] lr: 1.0000e-03 eta: 7:40:12 time: 0.7805 data_time: 0.0403 memory: 13619 grad_norm: 4.4205 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1009 loss: 1.1009 2022/08/01 12:21:29 - mmengine - INFO - Epoch(train) [62][920/940] lr: 1.0000e-03 eta: 7:39:57 time: 0.7360 data_time: 0.0365 memory: 13619 grad_norm: 4.4701 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9234 loss: 0.9234 2022/08/01 12:21:42 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 12:21:42 - mmengine - INFO - Epoch(train) [62][940/940] lr: 1.0000e-03 eta: 7:39:40 time: 0.6592 data_time: 0.0395 memory: 13619 grad_norm: 4.7278 top1_acc: 0.2857 top5_acc: 1.0000 loss_cls: 1.0797 loss: 1.0797 2022/08/01 12:21:59 - mmengine - INFO - Epoch(val) [62][20/78] eta: 0:00:49 time: 0.8594 data_time: 0.7624 memory: 2186 2022/08/01 12:22:11 - mmengine - INFO - Epoch(val) [62][40/78] eta: 0:00:22 time: 0.6004 data_time: 0.5049 memory: 2186 2022/08/01 12:22:28 - mmengine - INFO - Epoch(val) [62][60/78] eta: 0:00:14 time: 0.8187 data_time: 0.7245 memory: 2186 2022/08/01 12:22:41 - mmengine - INFO - Epoch(val) [62][78/78] acc/top1: 0.7044 acc/top5: 0.8941 acc/mean1: 0.7043 2022/08/01 12:23:01 - mmengine - INFO - Epoch(train) [63][20/940] lr: 1.0000e-03 eta: 7:39:27 time: 0.9944 data_time: 0.6394 memory: 13619 grad_norm: 4.3727 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9968 loss: 0.9968 2022/08/01 12:23:14 - mmengine - INFO - Epoch(train) [63][40/940] lr: 1.0000e-03 eta: 7:39:10 time: 0.6695 data_time: 0.3467 memory: 13619 grad_norm: 4.3554 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0202 loss: 1.0202 2022/08/01 12:23:31 - mmengine - INFO - Epoch(train) [63][60/940] lr: 1.0000e-03 eta: 7:38:56 time: 0.8409 data_time: 0.5167 memory: 13619 grad_norm: 4.4002 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8943 loss: 0.8943 2022/08/01 12:23:45 - mmengine - INFO - Epoch(train) [63][80/940] lr: 1.0000e-03 eta: 7:38:39 time: 0.6870 data_time: 0.3998 memory: 13619 grad_norm: 4.3651 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9230 loss: 0.9230 2022/08/01 12:24:02 - mmengine - INFO - Epoch(train) [63][100/940] lr: 1.0000e-03 eta: 7:38:25 time: 0.8492 data_time: 0.5263 memory: 13619 grad_norm: 4.4472 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8604 loss: 0.8604 2022/08/01 12:24:16 - mmengine - INFO - Epoch(train) [63][120/940] lr: 1.0000e-03 eta: 7:38:09 time: 0.7119 data_time: 0.2988 memory: 13619 grad_norm: 4.2933 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8753 loss: 0.8753 2022/08/01 12:24:32 - mmengine - INFO - Epoch(train) [63][140/940] lr: 1.0000e-03 eta: 7:37:53 time: 0.7784 data_time: 0.3014 memory: 13619 grad_norm: 4.4666 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0072 loss: 1.0072 2022/08/01 12:24:47 - mmengine - INFO - Epoch(train) [63][160/940] lr: 1.0000e-03 eta: 7:37:38 time: 0.7775 data_time: 0.1598 memory: 13619 grad_norm: 4.4406 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9370 loss: 0.9370 2022/08/01 12:25:02 - mmengine - INFO - Epoch(train) [63][180/940] lr: 1.0000e-03 eta: 7:37:22 time: 0.7300 data_time: 0.1628 memory: 13619 grad_norm: 4.3946 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9152 loss: 0.9152 2022/08/01 12:25:19 - mmengine - INFO - Epoch(train) [63][200/940] lr: 1.0000e-03 eta: 7:37:08 time: 0.8700 data_time: 0.1235 memory: 13619 grad_norm: 4.4458 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8603 loss: 0.8603 2022/08/01 12:25:33 - mmengine - INFO - Epoch(train) [63][220/940] lr: 1.0000e-03 eta: 7:36:51 time: 0.6741 data_time: 0.1735 memory: 13619 grad_norm: 4.4477 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0077 loss: 1.0077 2022/08/01 12:25:48 - mmengine - INFO - Epoch(train) [63][240/940] lr: 1.0000e-03 eta: 7:36:35 time: 0.7625 data_time: 0.1462 memory: 13619 grad_norm: 4.4437 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8681 loss: 0.8681 2022/08/01 12:26:04 - mmengine - INFO - Epoch(train) [63][260/940] lr: 1.0000e-03 eta: 7:36:21 time: 0.8246 data_time: 0.2353 memory: 13619 grad_norm: 4.3999 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9767 loss: 0.9767 2022/08/01 12:26:18 - mmengine - INFO - Epoch(train) [63][280/940] lr: 1.0000e-03 eta: 7:36:04 time: 0.6519 data_time: 0.1869 memory: 13619 grad_norm: 4.3858 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8880 loss: 0.8880 2022/08/01 12:26:34 - mmengine - INFO - Epoch(train) [63][300/940] lr: 1.0000e-03 eta: 7:35:49 time: 0.8299 data_time: 0.3718 memory: 13619 grad_norm: 4.3244 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9867 loss: 0.9867 2022/08/01 12:26:49 - mmengine - INFO - Epoch(train) [63][320/940] lr: 1.0000e-03 eta: 7:35:33 time: 0.7644 data_time: 0.3454 memory: 13619 grad_norm: 4.4223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9650 loss: 0.9650 2022/08/01 12:27:05 - mmengine - INFO - Epoch(train) [63][340/940] lr: 1.0000e-03 eta: 7:35:18 time: 0.7957 data_time: 0.4582 memory: 13619 grad_norm: 4.4418 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0157 loss: 1.0157 2022/08/01 12:27:19 - mmengine - INFO - Epoch(train) [63][360/940] lr: 1.0000e-03 eta: 7:35:01 time: 0.6609 data_time: 0.3146 memory: 13619 grad_norm: 4.4125 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9686 loss: 0.9686 2022/08/01 12:27:35 - mmengine - INFO - Epoch(train) [63][380/940] lr: 1.0000e-03 eta: 7:34:47 time: 0.8177 data_time: 0.3537 memory: 13619 grad_norm: 4.3758 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9616 loss: 0.9616 2022/08/01 12:27:50 - mmengine - INFO - Epoch(train) [63][400/940] lr: 1.0000e-03 eta: 7:34:31 time: 0.7516 data_time: 0.2031 memory: 13619 grad_norm: 4.4250 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/08/01 12:28:06 - mmengine - INFO - Epoch(train) [63][420/940] lr: 1.0000e-03 eta: 7:34:16 time: 0.8212 data_time: 0.1084 memory: 13619 grad_norm: 4.4368 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9566 loss: 0.9566 2022/08/01 12:28:22 - mmengine - INFO - Epoch(train) [63][440/940] lr: 1.0000e-03 eta: 7:34:01 time: 0.7657 data_time: 0.0970 memory: 13619 grad_norm: 4.4149 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9966 loss: 0.9966 2022/08/01 12:28:37 - mmengine - INFO - Epoch(train) [63][460/940] lr: 1.0000e-03 eta: 7:33:45 time: 0.7619 data_time: 0.0400 memory: 13619 grad_norm: 4.4370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9765 loss: 0.9765 2022/08/01 12:28:52 - mmengine - INFO - Epoch(train) [63][480/940] lr: 1.0000e-03 eta: 7:33:29 time: 0.7594 data_time: 0.0310 memory: 13619 grad_norm: 4.3502 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9917 loss: 0.9917 2022/08/01 12:29:08 - mmengine - INFO - Epoch(train) [63][500/940] lr: 1.0000e-03 eta: 7:33:14 time: 0.7984 data_time: 0.0373 memory: 13619 grad_norm: 4.3950 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9777 loss: 0.9777 2022/08/01 12:29:21 - mmengine - INFO - Epoch(train) [63][520/940] lr: 1.0000e-03 eta: 7:32:57 time: 0.6352 data_time: 0.0323 memory: 13619 grad_norm: 4.3107 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 0.9349 loss: 0.9349 2022/08/01 12:29:38 - mmengine - INFO - Epoch(train) [63][540/940] lr: 1.0000e-03 eta: 7:32:43 time: 0.8647 data_time: 0.0792 memory: 13619 grad_norm: 4.3874 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9359 loss: 0.9359 2022/08/01 12:29:51 - mmengine - INFO - Epoch(train) [63][560/940] lr: 1.0000e-03 eta: 7:32:26 time: 0.6533 data_time: 0.0358 memory: 13619 grad_norm: 4.4437 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9433 loss: 0.9433 2022/08/01 12:30:08 - mmengine - INFO - Epoch(train) [63][580/940] lr: 1.0000e-03 eta: 7:32:12 time: 0.8564 data_time: 0.0429 memory: 13619 grad_norm: 4.2820 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9056 loss: 0.9056 2022/08/01 12:30:23 - mmengine - INFO - Epoch(train) [63][600/940] lr: 1.0000e-03 eta: 7:31:55 time: 0.7152 data_time: 0.0551 memory: 13619 grad_norm: 4.4379 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/08/01 12:30:40 - mmengine - INFO - Epoch(train) [63][620/940] lr: 1.0000e-03 eta: 7:31:41 time: 0.8640 data_time: 0.0475 memory: 13619 grad_norm: 4.3640 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8966 loss: 0.8966 2022/08/01 12:30:53 - mmengine - INFO - Epoch(train) [63][640/940] lr: 1.0000e-03 eta: 7:31:24 time: 0.6594 data_time: 0.0393 memory: 13619 grad_norm: 4.3368 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8894 loss: 0.8894 2022/08/01 12:31:11 - mmengine - INFO - Epoch(train) [63][660/940] lr: 1.0000e-03 eta: 7:31:10 time: 0.8711 data_time: 0.0332 memory: 13619 grad_norm: 4.3646 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8596 loss: 0.8596 2022/08/01 12:31:24 - mmengine - INFO - Epoch(train) [63][680/940] lr: 1.0000e-03 eta: 7:30:53 time: 0.6540 data_time: 0.0420 memory: 13619 grad_norm: 4.3420 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8897 loss: 0.8897 2022/08/01 12:31:41 - mmengine - INFO - Epoch(train) [63][700/940] lr: 1.0000e-03 eta: 7:30:39 time: 0.8491 data_time: 0.0615 memory: 13619 grad_norm: 4.3807 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0003 loss: 1.0003 2022/08/01 12:31:53 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 12:31:53 - mmengine - INFO - Epoch(train) [63][720/940] lr: 1.0000e-03 eta: 7:30:22 time: 0.6313 data_time: 0.0385 memory: 13619 grad_norm: 4.3924 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8682 loss: 0.8682 2022/08/01 12:32:11 - mmengine - INFO - Epoch(train) [63][740/940] lr: 1.0000e-03 eta: 7:30:08 time: 0.8978 data_time: 0.0411 memory: 13619 grad_norm: 4.4353 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0210 loss: 1.0210 2022/08/01 12:32:25 - mmengine - INFO - Epoch(train) [63][760/940] lr: 1.0000e-03 eta: 7:29:51 time: 0.6958 data_time: 0.0358 memory: 13619 grad_norm: 4.3161 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9892 loss: 0.9892 2022/08/01 12:32:43 - mmengine - INFO - Epoch(train) [63][780/940] lr: 1.0000e-03 eta: 7:29:37 time: 0.8714 data_time: 0.0413 memory: 13619 grad_norm: 4.4430 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8524 loss: 0.8524 2022/08/01 12:32:56 - mmengine - INFO - Epoch(train) [63][800/940] lr: 1.0000e-03 eta: 7:29:20 time: 0.6738 data_time: 0.0376 memory: 13619 grad_norm: 4.4996 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9113 loss: 0.9113 2022/08/01 12:33:13 - mmengine - INFO - Epoch(train) [63][820/940] lr: 1.0000e-03 eta: 7:29:06 time: 0.8248 data_time: 0.0378 memory: 13619 grad_norm: 4.5558 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0218 loss: 1.0218 2022/08/01 12:33:27 - mmengine - INFO - Epoch(train) [63][840/940] lr: 1.0000e-03 eta: 7:28:49 time: 0.7085 data_time: 0.0415 memory: 13619 grad_norm: 4.4989 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0065 loss: 1.0065 2022/08/01 12:33:44 - mmengine - INFO - Epoch(train) [63][860/940] lr: 1.0000e-03 eta: 7:28:35 time: 0.8685 data_time: 0.0343 memory: 13619 grad_norm: 4.3844 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9853 loss: 0.9853 2022/08/01 12:33:58 - mmengine - INFO - Epoch(train) [63][880/940] lr: 1.0000e-03 eta: 7:28:19 time: 0.6894 data_time: 0.0370 memory: 13619 grad_norm: 4.4721 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9996 loss: 0.9996 2022/08/01 12:34:15 - mmengine - INFO - Epoch(train) [63][900/940] lr: 1.0000e-03 eta: 7:28:04 time: 0.8311 data_time: 0.0375 memory: 13619 grad_norm: 4.4712 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8636 loss: 0.8636 2022/08/01 12:34:28 - mmengine - INFO - Epoch(train) [63][920/940] lr: 1.0000e-03 eta: 7:27:47 time: 0.6835 data_time: 0.0367 memory: 13619 grad_norm: 4.4708 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0145 loss: 1.0145 2022/08/01 12:34:42 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 12:34:42 - mmengine - INFO - Epoch(train) [63][940/940] lr: 1.0000e-03 eta: 7:27:31 time: 0.6720 data_time: 0.0252 memory: 13619 grad_norm: 4.7879 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9058 loss: 0.9058 2022/08/01 12:34:42 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/08/01 12:35:01 - mmengine - INFO - Epoch(val) [63][20/78] eta: 0:00:51 time: 0.8809 data_time: 0.7901 memory: 2186 2022/08/01 12:35:13 - mmengine - INFO - Epoch(val) [63][40/78] eta: 0:00:23 time: 0.6055 data_time: 0.5122 memory: 2186 2022/08/01 12:35:30 - mmengine - INFO - Epoch(val) [63][60/78] eta: 0:00:14 time: 0.8158 data_time: 0.7242 memory: 2186 2022/08/01 12:35:42 - mmengine - INFO - Epoch(val) [63][78/78] acc/top1: 0.7040 acc/top5: 0.8937 acc/mean1: 0.7039 2022/08/01 12:36:01 - mmengine - INFO - Epoch(train) [64][20/940] lr: 1.0000e-03 eta: 7:27:18 time: 0.9647 data_time: 0.5901 memory: 13619 grad_norm: 4.4659 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9863 loss: 0.9863 2022/08/01 12:36:16 - mmengine - INFO - Epoch(train) [64][40/940] lr: 1.0000e-03 eta: 7:27:02 time: 0.7362 data_time: 0.2984 memory: 13619 grad_norm: 4.4026 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9658 loss: 0.9658 2022/08/01 12:36:32 - mmengine - INFO - Epoch(train) [64][60/940] lr: 1.0000e-03 eta: 7:26:47 time: 0.7961 data_time: 0.2455 memory: 13619 grad_norm: 4.3567 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9418 loss: 0.9418 2022/08/01 12:36:45 - mmengine - INFO - Epoch(train) [64][80/940] lr: 1.0000e-03 eta: 7:26:30 time: 0.6584 data_time: 0.1617 memory: 13619 grad_norm: 4.4104 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9121 loss: 0.9121 2022/08/01 12:37:03 - mmengine - INFO - Epoch(train) [64][100/940] lr: 1.0000e-03 eta: 7:26:16 time: 0.8739 data_time: 0.2354 memory: 13619 grad_norm: 4.3028 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9586 loss: 0.9586 2022/08/01 12:37:16 - mmengine - INFO - Epoch(train) [64][120/940] lr: 1.0000e-03 eta: 7:25:59 time: 0.6689 data_time: 0.1918 memory: 13619 grad_norm: 4.4928 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9715 loss: 0.9715 2022/08/01 12:37:33 - mmengine - INFO - Epoch(train) [64][140/940] lr: 1.0000e-03 eta: 7:25:44 time: 0.8492 data_time: 0.4435 memory: 13619 grad_norm: 4.3456 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9048 loss: 0.9048 2022/08/01 12:37:47 - mmengine - INFO - Epoch(train) [64][160/940] lr: 1.0000e-03 eta: 7:25:28 time: 0.6905 data_time: 0.2992 memory: 13619 grad_norm: 4.4383 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8239 loss: 0.8239 2022/08/01 12:38:05 - mmengine - INFO - Epoch(train) [64][180/940] lr: 1.0000e-03 eta: 7:25:14 time: 0.8868 data_time: 0.3360 memory: 13619 grad_norm: 4.3803 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9697 loss: 0.9697 2022/08/01 12:38:18 - mmengine - INFO - Epoch(train) [64][200/940] lr: 1.0000e-03 eta: 7:24:57 time: 0.6831 data_time: 0.1957 memory: 13619 grad_norm: 4.4346 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9792 loss: 0.9792 2022/08/01 12:38:36 - mmengine - INFO - Epoch(train) [64][220/940] lr: 1.0000e-03 eta: 7:24:43 time: 0.8596 data_time: 0.1572 memory: 13619 grad_norm: 4.3245 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8915 loss: 0.8915 2022/08/01 12:38:49 - mmengine - INFO - Epoch(train) [64][240/940] lr: 1.0000e-03 eta: 7:24:26 time: 0.6690 data_time: 0.1580 memory: 13619 grad_norm: 4.5571 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9181 loss: 0.9181 2022/08/01 12:39:05 - mmengine - INFO - Epoch(train) [64][260/940] lr: 1.0000e-03 eta: 7:24:11 time: 0.8028 data_time: 0.2831 memory: 13619 grad_norm: 4.3579 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 0.8487 loss: 0.8487 2022/08/01 12:39:19 - mmengine - INFO - Epoch(train) [64][280/940] lr: 1.0000e-03 eta: 7:23:55 time: 0.6844 data_time: 0.3023 memory: 13619 grad_norm: 4.3389 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9944 loss: 0.9944 2022/08/01 12:39:37 - mmengine - INFO - Epoch(train) [64][300/940] lr: 1.0000e-03 eta: 7:23:41 time: 0.8988 data_time: 0.3995 memory: 13619 grad_norm: 4.3808 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8438 loss: 0.8438 2022/08/01 12:39:49 - mmengine - INFO - Epoch(train) [64][320/940] lr: 1.0000e-03 eta: 7:23:23 time: 0.6109 data_time: 0.1489 memory: 13619 grad_norm: 4.4853 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8853 loss: 0.8853 2022/08/01 12:40:06 - mmengine - INFO - Epoch(train) [64][340/940] lr: 1.0000e-03 eta: 7:23:09 time: 0.8777 data_time: 0.3286 memory: 13619 grad_norm: 4.3503 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0011 loss: 1.0011 2022/08/01 12:40:20 - mmengine - INFO - Epoch(train) [64][360/940] lr: 1.0000e-03 eta: 7:22:53 time: 0.6634 data_time: 0.1586 memory: 13619 grad_norm: 4.4592 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9280 loss: 0.9280 2022/08/01 12:40:37 - mmengine - INFO - Epoch(train) [64][380/940] lr: 1.0000e-03 eta: 7:22:38 time: 0.8718 data_time: 0.2569 memory: 13619 grad_norm: 4.3807 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8160 loss: 0.8160 2022/08/01 12:40:51 - mmengine - INFO - Epoch(train) [64][400/940] lr: 1.0000e-03 eta: 7:22:22 time: 0.6837 data_time: 0.1087 memory: 13619 grad_norm: 4.4360 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9028 loss: 0.9028 2022/08/01 12:41:08 - mmengine - INFO - Epoch(train) [64][420/940] lr: 1.0000e-03 eta: 7:22:07 time: 0.8471 data_time: 0.0613 memory: 13619 grad_norm: 4.3435 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8559 loss: 0.8559 2022/08/01 12:41:21 - mmengine - INFO - Epoch(train) [64][440/940] lr: 1.0000e-03 eta: 7:21:51 time: 0.6612 data_time: 0.0390 memory: 13619 grad_norm: 4.4274 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8910 loss: 0.8910 2022/08/01 12:41:38 - mmengine - INFO - Epoch(train) [64][460/940] lr: 1.0000e-03 eta: 7:21:36 time: 0.8468 data_time: 0.0386 memory: 13619 grad_norm: 4.4068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9913 loss: 0.9913 2022/08/01 12:41:52 - mmengine - INFO - Epoch(train) [64][480/940] lr: 1.0000e-03 eta: 7:21:20 time: 0.7174 data_time: 0.0366 memory: 13619 grad_norm: 4.3502 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9454 loss: 0.9454 2022/08/01 12:42:09 - mmengine - INFO - Epoch(train) [64][500/940] lr: 1.0000e-03 eta: 7:21:05 time: 0.8260 data_time: 0.0395 memory: 13619 grad_norm: 4.3843 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9138 loss: 0.9138 2022/08/01 12:42:22 - mmengine - INFO - Epoch(train) [64][520/940] lr: 1.0000e-03 eta: 7:20:48 time: 0.6616 data_time: 0.0409 memory: 13619 grad_norm: 4.5719 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1073 loss: 1.1073 2022/08/01 12:42:40 - mmengine - INFO - Epoch(train) [64][540/940] lr: 1.0000e-03 eta: 7:20:34 time: 0.8916 data_time: 0.0393 memory: 13619 grad_norm: 4.4506 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8496 loss: 0.8496 2022/08/01 12:42:53 - mmengine - INFO - Epoch(train) [64][560/940] lr: 1.0000e-03 eta: 7:20:17 time: 0.6433 data_time: 0.0377 memory: 13619 grad_norm: 4.4634 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9165 loss: 0.9165 2022/08/01 12:43:11 - mmengine - INFO - Epoch(train) [64][580/940] lr: 1.0000e-03 eta: 7:20:04 time: 0.9201 data_time: 0.0388 memory: 13619 grad_norm: 4.3646 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.9560 loss: 0.9560 2022/08/01 12:43:24 - mmengine - INFO - Epoch(train) [64][600/940] lr: 1.0000e-03 eta: 7:19:47 time: 0.6350 data_time: 0.0523 memory: 13619 grad_norm: 4.4360 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9431 loss: 0.9431 2022/08/01 12:43:41 - mmengine - INFO - Epoch(train) [64][620/940] lr: 1.0000e-03 eta: 7:19:32 time: 0.8771 data_time: 0.0447 memory: 13619 grad_norm: 4.3708 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8883 loss: 0.8883 2022/08/01 12:43:55 - mmengine - INFO - Epoch(train) [64][640/940] lr: 1.0000e-03 eta: 7:19:16 time: 0.6791 data_time: 0.0326 memory: 13619 grad_norm: 4.5280 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9910 loss: 0.9910 2022/08/01 12:44:13 - mmengine - INFO - Epoch(train) [64][660/940] lr: 1.0000e-03 eta: 7:19:02 time: 0.8784 data_time: 0.0347 memory: 13619 grad_norm: 4.4948 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9652 loss: 0.9652 2022/08/01 12:44:26 - mmengine - INFO - Epoch(train) [64][680/940] lr: 1.0000e-03 eta: 7:18:45 time: 0.6810 data_time: 0.0334 memory: 13619 grad_norm: 4.4169 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9160 loss: 0.9160 2022/08/01 12:44:43 - mmengine - INFO - Epoch(train) [64][700/940] lr: 1.0000e-03 eta: 7:18:30 time: 0.8372 data_time: 0.0386 memory: 13619 grad_norm: 4.5892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0569 loss: 1.0569 2022/08/01 12:44:57 - mmengine - INFO - Epoch(train) [64][720/940] lr: 1.0000e-03 eta: 7:18:14 time: 0.7023 data_time: 0.0430 memory: 13619 grad_norm: 4.4837 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9316 loss: 0.9316 2022/08/01 12:45:14 - mmengine - INFO - Epoch(train) [64][740/940] lr: 1.0000e-03 eta: 7:18:00 time: 0.8465 data_time: 0.0384 memory: 13619 grad_norm: 4.4104 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9323 loss: 0.9323 2022/08/01 12:45:27 - mmengine - INFO - Epoch(train) [64][760/940] lr: 1.0000e-03 eta: 7:17:43 time: 0.6357 data_time: 0.0411 memory: 13619 grad_norm: 4.3107 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9545 loss: 0.9545 2022/08/01 12:45:44 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 12:45:44 - mmengine - INFO - Epoch(train) [64][780/940] lr: 1.0000e-03 eta: 7:17:28 time: 0.8852 data_time: 0.0401 memory: 13619 grad_norm: 4.5725 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9208 loss: 0.9208 2022/08/01 12:45:58 - mmengine - INFO - Epoch(train) [64][800/940] lr: 1.0000e-03 eta: 7:17:12 time: 0.6744 data_time: 0.0353 memory: 13619 grad_norm: 4.5326 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0144 loss: 1.0144 2022/08/01 12:46:16 - mmengine - INFO - Epoch(train) [64][820/940] lr: 1.0000e-03 eta: 7:16:58 time: 0.8899 data_time: 0.0391 memory: 13619 grad_norm: 4.4265 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9396 loss: 0.9396 2022/08/01 12:46:29 - mmengine - INFO - Epoch(train) [64][840/940] lr: 1.0000e-03 eta: 7:16:41 time: 0.6627 data_time: 0.0377 memory: 13619 grad_norm: 4.4947 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9731 loss: 0.9731 2022/08/01 12:46:47 - mmengine - INFO - Epoch(train) [64][860/940] lr: 1.0000e-03 eta: 7:16:27 time: 0.8830 data_time: 0.0376 memory: 13619 grad_norm: 4.4287 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8656 loss: 0.8656 2022/08/01 12:47:00 - mmengine - INFO - Epoch(train) [64][880/940] lr: 1.0000e-03 eta: 7:16:11 time: 0.6900 data_time: 0.0319 memory: 13619 grad_norm: 4.3974 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8795 loss: 0.8795 2022/08/01 12:47:17 - mmengine - INFO - Epoch(train) [64][900/940] lr: 1.0000e-03 eta: 7:15:56 time: 0.8223 data_time: 0.0370 memory: 13619 grad_norm: 4.4203 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0564 loss: 1.0564 2022/08/01 12:47:31 - mmengine - INFO - Epoch(train) [64][920/940] lr: 1.0000e-03 eta: 7:15:39 time: 0.6941 data_time: 0.0438 memory: 13619 grad_norm: 4.5291 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9709 loss: 0.9709 2022/08/01 12:47:44 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 12:47:44 - mmengine - INFO - Epoch(train) [64][940/940] lr: 1.0000e-03 eta: 7:15:23 time: 0.6793 data_time: 0.0409 memory: 13619 grad_norm: 4.6656 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/08/01 12:48:02 - mmengine - INFO - Epoch(val) [64][20/78] eta: 0:00:49 time: 0.8565 data_time: 0.7615 memory: 2186 2022/08/01 12:48:14 - mmengine - INFO - Epoch(val) [64][40/78] eta: 0:00:22 time: 0.5968 data_time: 0.5025 memory: 2186 2022/08/01 12:48:30 - mmengine - INFO - Epoch(val) [64][60/78] eta: 0:00:14 time: 0.8093 data_time: 0.6970 memory: 2186 2022/08/01 12:48:43 - mmengine - INFO - Epoch(val) [64][78/78] acc/top1: 0.7090 acc/top5: 0.8932 acc/mean1: 0.7089 2022/08/01 12:48:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_59.pth is removed 2022/08/01 12:48:45 - mmengine - INFO - The best checkpoint with 0.7090 acc/top1 at 65 epoch is saved to best_acc/top1_epoch_65.pth. 2022/08/01 12:49:05 - mmengine - INFO - Epoch(train) [65][20/940] lr: 1.0000e-03 eta: 7:15:10 time: 1.0041 data_time: 0.7094 memory: 13619 grad_norm: 4.4528 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0306 loss: 1.0306 2022/08/01 12:49:18 - mmengine - INFO - Epoch(train) [65][40/940] lr: 1.0000e-03 eta: 7:14:54 time: 0.6831 data_time: 0.3918 memory: 13619 grad_norm: 4.5123 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9432 loss: 0.9432 2022/08/01 12:49:36 - mmengine - INFO - Epoch(train) [65][60/940] lr: 1.0000e-03 eta: 7:14:39 time: 0.8537 data_time: 0.5154 memory: 13619 grad_norm: 4.4372 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9232 loss: 0.9232 2022/08/01 12:49:50 - mmengine - INFO - Epoch(train) [65][80/940] lr: 1.0000e-03 eta: 7:14:23 time: 0.6973 data_time: 0.3943 memory: 13619 grad_norm: 4.4428 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8298 loss: 0.8298 2022/08/01 12:50:07 - mmengine - INFO - Epoch(train) [65][100/940] lr: 1.0000e-03 eta: 7:14:09 time: 0.8788 data_time: 0.4876 memory: 13619 grad_norm: 4.4197 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9140 loss: 0.9140 2022/08/01 12:50:22 - mmengine - INFO - Epoch(train) [65][120/940] lr: 1.0000e-03 eta: 7:13:53 time: 0.7479 data_time: 0.2898 memory: 13619 grad_norm: 4.5336 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9002 loss: 0.9002 2022/08/01 12:50:38 - mmengine - INFO - Epoch(train) [65][140/940] lr: 1.0000e-03 eta: 7:13:38 time: 0.8125 data_time: 0.2278 memory: 13619 grad_norm: 4.4050 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9594 loss: 0.9594 2022/08/01 12:50:52 - mmengine - INFO - Epoch(train) [65][160/940] lr: 1.0000e-03 eta: 7:13:21 time: 0.6689 data_time: 0.2370 memory: 13619 grad_norm: 4.4475 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9515 loss: 0.9515 2022/08/01 12:51:09 - mmengine - INFO - Epoch(train) [65][180/940] lr: 1.0000e-03 eta: 7:13:07 time: 0.8548 data_time: 0.2899 memory: 13619 grad_norm: 4.4603 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8130 loss: 0.8130 2022/08/01 12:51:22 - mmengine - INFO - Epoch(train) [65][200/940] lr: 1.0000e-03 eta: 7:12:50 time: 0.6682 data_time: 0.1232 memory: 13619 grad_norm: 4.3826 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9397 loss: 0.9397 2022/08/01 12:51:39 - mmengine - INFO - Epoch(train) [65][220/940] lr: 1.0000e-03 eta: 7:12:36 time: 0.8395 data_time: 0.1712 memory: 13619 grad_norm: 4.6381 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9090 loss: 0.9090 2022/08/01 12:51:53 - mmengine - INFO - Epoch(train) [65][240/940] lr: 1.0000e-03 eta: 7:12:19 time: 0.7158 data_time: 0.0691 memory: 13619 grad_norm: 4.4151 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 0.9446 loss: 0.9446 2022/08/01 12:52:11 - mmengine - INFO - Epoch(train) [65][260/940] lr: 1.0000e-03 eta: 7:12:05 time: 0.8839 data_time: 0.0471 memory: 13619 grad_norm: 4.4200 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9282 loss: 0.9282 2022/08/01 12:52:25 - mmengine - INFO - Epoch(train) [65][280/940] lr: 1.0000e-03 eta: 7:11:49 time: 0.7013 data_time: 0.0326 memory: 13619 grad_norm: 4.4365 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9210 loss: 0.9210 2022/08/01 12:52:42 - mmengine - INFO - Epoch(train) [65][300/940] lr: 1.0000e-03 eta: 7:11:35 time: 0.8741 data_time: 0.0358 memory: 13619 grad_norm: 4.5234 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0102 loss: 1.0102 2022/08/01 12:52:55 - mmengine - INFO - Epoch(train) [65][320/940] lr: 1.0000e-03 eta: 7:11:18 time: 0.6478 data_time: 0.0373 memory: 13619 grad_norm: 4.3417 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9420 loss: 0.9420 2022/08/01 12:53:12 - mmengine - INFO - Epoch(train) [65][340/940] lr: 1.0000e-03 eta: 7:11:03 time: 0.8094 data_time: 0.0398 memory: 13619 grad_norm: 4.4291 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9103 loss: 0.9103 2022/08/01 12:53:25 - mmengine - INFO - Epoch(train) [65][360/940] lr: 1.0000e-03 eta: 7:10:47 time: 0.6909 data_time: 0.0744 memory: 13619 grad_norm: 4.3916 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8746 loss: 0.8746 2022/08/01 12:53:42 - mmengine - INFO - Epoch(train) [65][380/940] lr: 1.0000e-03 eta: 7:10:32 time: 0.8401 data_time: 0.0417 memory: 13619 grad_norm: 4.3326 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8821 loss: 0.8821 2022/08/01 12:53:56 - mmengine - INFO - Epoch(train) [65][400/940] lr: 1.0000e-03 eta: 7:10:16 time: 0.7091 data_time: 0.0415 memory: 13619 grad_norm: 4.3961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9586 loss: 0.9586 2022/08/01 12:54:15 - mmengine - INFO - Epoch(train) [65][420/940] lr: 1.0000e-03 eta: 7:10:02 time: 0.9165 data_time: 0.0371 memory: 13619 grad_norm: 4.3071 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9806 loss: 0.9806 2022/08/01 12:54:28 - mmengine - INFO - Epoch(train) [65][440/940] lr: 1.0000e-03 eta: 7:09:45 time: 0.6766 data_time: 0.0293 memory: 13619 grad_norm: 4.6403 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9445 loss: 0.9445 2022/08/01 12:54:46 - mmengine - INFO - Epoch(train) [65][460/940] lr: 1.0000e-03 eta: 7:09:31 time: 0.8930 data_time: 0.0356 memory: 13619 grad_norm: 4.4572 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9207 loss: 0.9207 2022/08/01 12:54:59 - mmengine - INFO - Epoch(train) [65][480/940] lr: 1.0000e-03 eta: 7:09:15 time: 0.6624 data_time: 0.0374 memory: 13619 grad_norm: 4.2809 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9025 loss: 0.9025 2022/08/01 12:55:16 - mmengine - INFO - Epoch(train) [65][500/940] lr: 1.0000e-03 eta: 7:09:00 time: 0.8306 data_time: 0.0334 memory: 13619 grad_norm: 4.4121 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0236 loss: 1.0236 2022/08/01 12:55:30 - mmengine - INFO - Epoch(train) [65][520/940] lr: 1.0000e-03 eta: 7:08:44 time: 0.7088 data_time: 0.0387 memory: 13619 grad_norm: 4.4051 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9463 loss: 0.9463 2022/08/01 12:55:47 - mmengine - INFO - Epoch(train) [65][540/940] lr: 1.0000e-03 eta: 7:08:29 time: 0.8392 data_time: 0.0409 memory: 13619 grad_norm: 4.4564 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8260 loss: 0.8260 2022/08/01 12:56:00 - mmengine - INFO - Epoch(train) [65][560/940] lr: 1.0000e-03 eta: 7:08:12 time: 0.6668 data_time: 0.0388 memory: 13619 grad_norm: 4.4932 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0632 loss: 1.0632 2022/08/01 12:56:17 - mmengine - INFO - Epoch(train) [65][580/940] lr: 1.0000e-03 eta: 7:07:57 time: 0.8185 data_time: 0.0433 memory: 13619 grad_norm: 4.4207 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9171 loss: 0.9171 2022/08/01 12:56:32 - mmengine - INFO - Epoch(train) [65][600/940] lr: 1.0000e-03 eta: 7:07:42 time: 0.7433 data_time: 0.0347 memory: 13619 grad_norm: 4.5293 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9363 loss: 0.9363 2022/08/01 12:56:49 - mmengine - INFO - Epoch(train) [65][620/940] lr: 1.0000e-03 eta: 7:07:27 time: 0.8689 data_time: 0.0380 memory: 13619 grad_norm: 4.5083 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9101 loss: 0.9101 2022/08/01 12:57:04 - mmengine - INFO - Epoch(train) [65][640/940] lr: 1.0000e-03 eta: 7:07:11 time: 0.7321 data_time: 0.0344 memory: 13619 grad_norm: 4.4159 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8925 loss: 0.8925 2022/08/01 12:57:21 - mmengine - INFO - Epoch(train) [65][660/940] lr: 1.0000e-03 eta: 7:06:57 time: 0.8558 data_time: 0.0389 memory: 13619 grad_norm: 4.4804 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9119 loss: 0.9119 2022/08/01 12:57:34 - mmengine - INFO - Epoch(train) [65][680/940] lr: 1.0000e-03 eta: 7:06:40 time: 0.6663 data_time: 0.0383 memory: 13619 grad_norm: 4.4643 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8408 loss: 0.8408 2022/08/01 12:57:51 - mmengine - INFO - Epoch(train) [65][700/940] lr: 1.0000e-03 eta: 7:06:26 time: 0.8580 data_time: 0.0425 memory: 13619 grad_norm: 4.4810 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9381 loss: 0.9381 2022/08/01 12:58:05 - mmengine - INFO - Epoch(train) [65][720/940] lr: 1.0000e-03 eta: 7:06:10 time: 0.7032 data_time: 0.0442 memory: 13619 grad_norm: 4.5579 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0119 loss: 1.0119 2022/08/01 12:58:22 - mmengine - INFO - Epoch(train) [65][740/940] lr: 1.0000e-03 eta: 7:05:55 time: 0.8064 data_time: 0.0408 memory: 13619 grad_norm: 4.5238 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9429 loss: 0.9429 2022/08/01 12:58:34 - mmengine - INFO - Epoch(train) [65][760/940] lr: 1.0000e-03 eta: 7:05:37 time: 0.6046 data_time: 0.0411 memory: 13619 grad_norm: 4.3546 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8599 loss: 0.8599 2022/08/01 12:58:51 - mmengine - INFO - Epoch(train) [65][780/940] lr: 1.0000e-03 eta: 7:05:23 time: 0.8931 data_time: 0.0377 memory: 13619 grad_norm: 4.2670 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8545 loss: 0.8545 2022/08/01 12:59:05 - mmengine - INFO - Epoch(train) [65][800/940] lr: 1.0000e-03 eta: 7:05:07 time: 0.6659 data_time: 0.0372 memory: 13619 grad_norm: 4.5496 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8320 loss: 0.8320 2022/08/01 12:59:21 - mmengine - INFO - Epoch(train) [65][820/940] lr: 1.0000e-03 eta: 7:04:52 time: 0.8345 data_time: 0.0452 memory: 13619 grad_norm: 4.4853 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8829 loss: 0.8829 2022/08/01 12:59:35 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 12:59:35 - mmengine - INFO - Epoch(train) [65][840/940] lr: 1.0000e-03 eta: 7:04:35 time: 0.6881 data_time: 0.0385 memory: 13619 grad_norm: 4.5161 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9871 loss: 0.9871 2022/08/01 12:59:52 - mmengine - INFO - Epoch(train) [65][860/940] lr: 1.0000e-03 eta: 7:04:21 time: 0.8506 data_time: 0.0342 memory: 13619 grad_norm: 4.4837 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8937 loss: 0.8937 2022/08/01 13:00:06 - mmengine - INFO - Epoch(train) [65][880/940] lr: 1.0000e-03 eta: 7:04:04 time: 0.6691 data_time: 0.0391 memory: 13619 grad_norm: 4.3943 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8526 loss: 0.8526 2022/08/01 13:00:23 - mmengine - INFO - Epoch(train) [65][900/940] lr: 1.0000e-03 eta: 7:03:50 time: 0.8805 data_time: 0.0378 memory: 13619 grad_norm: 4.4423 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8342 loss: 0.8342 2022/08/01 13:00:38 - mmengine - INFO - Epoch(train) [65][920/940] lr: 1.0000e-03 eta: 7:03:34 time: 0.7191 data_time: 0.0361 memory: 13619 grad_norm: 4.6242 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8054 loss: 0.8054 2022/08/01 13:00:53 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 13:00:53 - mmengine - INFO - Epoch(train) [65][940/940] lr: 1.0000e-03 eta: 7:03:18 time: 0.7484 data_time: 0.0239 memory: 13619 grad_norm: 4.8092 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8870 loss: 0.8870 2022/08/01 13:01:10 - mmengine - INFO - Epoch(val) [65][20/78] eta: 0:00:49 time: 0.8513 data_time: 0.7563 memory: 2186 2022/08/01 13:01:22 - mmengine - INFO - Epoch(val) [65][40/78] eta: 0:00:23 time: 0.6170 data_time: 0.5248 memory: 2186 2022/08/01 13:01:38 - mmengine - INFO - Epoch(val) [65][60/78] eta: 0:00:14 time: 0.7799 data_time: 0.6726 memory: 2186 2022/08/01 13:01:52 - mmengine - INFO - Epoch(val) [65][78/78] acc/top1: 0.7056 acc/top5: 0.8935 acc/mean1: 0.7055 2022/08/01 13:02:12 - mmengine - INFO - Epoch(train) [66][20/940] lr: 1.0000e-03 eta: 7:03:05 time: 0.9893 data_time: 0.5830 memory: 13619 grad_norm: 4.3492 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8256 loss: 0.8256 2022/08/01 13:02:25 - mmengine - INFO - Epoch(train) [66][40/940] lr: 1.0000e-03 eta: 7:02:49 time: 0.6545 data_time: 0.2353 memory: 13619 grad_norm: 4.4575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0278 loss: 1.0278 2022/08/01 13:02:43 - mmengine - INFO - Epoch(train) [66][60/940] lr: 1.0000e-03 eta: 7:02:35 time: 0.9074 data_time: 0.1619 memory: 13619 grad_norm: 4.3594 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8142 loss: 0.8142 2022/08/01 13:02:56 - mmengine - INFO - Epoch(train) [66][80/940] lr: 1.0000e-03 eta: 7:02:18 time: 0.6365 data_time: 0.0339 memory: 13619 grad_norm: 4.3599 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9235 loss: 0.9235 2022/08/01 13:03:13 - mmengine - INFO - Epoch(train) [66][100/940] lr: 1.0000e-03 eta: 7:02:03 time: 0.8583 data_time: 0.0624 memory: 13619 grad_norm: 4.4109 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8993 loss: 0.8993 2022/08/01 13:03:26 - mmengine - INFO - Epoch(train) [66][120/940] lr: 1.0000e-03 eta: 7:01:47 time: 0.6599 data_time: 0.0540 memory: 13619 grad_norm: 4.4050 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9092 loss: 0.9092 2022/08/01 13:03:45 - mmengine - INFO - Epoch(train) [66][140/940] lr: 1.0000e-03 eta: 7:01:32 time: 0.9037 data_time: 0.0366 memory: 13619 grad_norm: 4.4177 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8642 loss: 0.8642 2022/08/01 13:03:58 - mmengine - INFO - Epoch(train) [66][160/940] lr: 1.0000e-03 eta: 7:01:16 time: 0.6781 data_time: 0.0339 memory: 13619 grad_norm: 4.4878 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9086 loss: 0.9086 2022/08/01 13:04:16 - mmengine - INFO - Epoch(train) [66][180/940] lr: 1.0000e-03 eta: 7:01:02 time: 0.8880 data_time: 0.0374 memory: 13619 grad_norm: 4.4394 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8661 loss: 0.8661 2022/08/01 13:04:29 - mmengine - INFO - Epoch(train) [66][200/940] lr: 1.0000e-03 eta: 7:00:45 time: 0.6520 data_time: 0.0382 memory: 13619 grad_norm: 4.5335 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9370 loss: 0.9370 2022/08/01 13:04:46 - mmengine - INFO - Epoch(train) [66][220/940] lr: 1.0000e-03 eta: 7:00:30 time: 0.8489 data_time: 0.0487 memory: 13619 grad_norm: 4.4395 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8728 loss: 0.8728 2022/08/01 13:04:59 - mmengine - INFO - Epoch(train) [66][240/940] lr: 1.0000e-03 eta: 7:00:14 time: 0.6633 data_time: 0.0322 memory: 13619 grad_norm: 4.5100 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9304 loss: 0.9304 2022/08/01 13:05:18 - mmengine - INFO - Epoch(train) [66][260/940] lr: 1.0000e-03 eta: 7:00:00 time: 0.9188 data_time: 0.0347 memory: 13619 grad_norm: 4.3512 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0159 loss: 1.0159 2022/08/01 13:05:31 - mmengine - INFO - Epoch(train) [66][280/940] lr: 1.0000e-03 eta: 6:59:43 time: 0.6589 data_time: 0.0336 memory: 13619 grad_norm: 4.4163 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9086 loss: 0.9086 2022/08/01 13:05:47 - mmengine - INFO - Epoch(train) [66][300/940] lr: 1.0000e-03 eta: 6:59:29 time: 0.8298 data_time: 0.0384 memory: 13619 grad_norm: 4.5726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9691 loss: 0.9691 2022/08/01 13:06:01 - mmengine - INFO - Epoch(train) [66][320/940] lr: 1.0000e-03 eta: 6:59:12 time: 0.6946 data_time: 0.0371 memory: 13619 grad_norm: 4.6083 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9622 loss: 0.9622 2022/08/01 13:06:17 - mmengine - INFO - Epoch(train) [66][340/940] lr: 1.0000e-03 eta: 6:58:57 time: 0.7828 data_time: 0.0521 memory: 13619 grad_norm: 4.3882 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0057 loss: 1.0057 2022/08/01 13:06:30 - mmengine - INFO - Epoch(train) [66][360/940] lr: 1.0000e-03 eta: 6:58:40 time: 0.6765 data_time: 0.0403 memory: 13619 grad_norm: 4.3921 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8592 loss: 0.8592 2022/08/01 13:06:48 - mmengine - INFO - Epoch(train) [66][380/940] lr: 1.0000e-03 eta: 6:58:26 time: 0.8666 data_time: 0.1465 memory: 13619 grad_norm: 4.5615 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9654 loss: 0.9654 2022/08/01 13:07:03 - mmengine - INFO - Epoch(train) [66][400/940] lr: 1.0000e-03 eta: 6:58:11 time: 0.7633 data_time: 0.2667 memory: 13619 grad_norm: 4.4507 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9222 loss: 0.9222 2022/08/01 13:07:19 - mmengine - INFO - Epoch(train) [66][420/940] lr: 1.0000e-03 eta: 6:57:55 time: 0.7918 data_time: 0.0689 memory: 13619 grad_norm: 4.4491 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8941 loss: 0.8941 2022/08/01 13:07:33 - mmengine - INFO - Epoch(train) [66][440/940] lr: 1.0000e-03 eta: 6:57:39 time: 0.6934 data_time: 0.0815 memory: 13619 grad_norm: 4.5275 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9670 loss: 0.9670 2022/08/01 13:07:48 - mmengine - INFO - Epoch(train) [66][460/940] lr: 1.0000e-03 eta: 6:57:24 time: 0.7655 data_time: 0.0892 memory: 13619 grad_norm: 4.3942 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9342 loss: 0.9342 2022/08/01 13:08:04 - mmengine - INFO - Epoch(train) [66][480/940] lr: 1.0000e-03 eta: 6:57:08 time: 0.7995 data_time: 0.3276 memory: 13619 grad_norm: 4.3288 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9358 loss: 0.9358 2022/08/01 13:08:19 - mmengine - INFO - Epoch(train) [66][500/940] lr: 1.0000e-03 eta: 6:56:53 time: 0.7512 data_time: 0.2776 memory: 13619 grad_norm: 4.5228 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8843 loss: 0.8843 2022/08/01 13:08:35 - mmengine - INFO - Epoch(train) [66][520/940] lr: 1.0000e-03 eta: 6:56:38 time: 0.7996 data_time: 0.4249 memory: 13619 grad_norm: 4.5348 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8943 loss: 0.8943 2022/08/01 13:08:50 - mmengine - INFO - Epoch(train) [66][540/940] lr: 1.0000e-03 eta: 6:56:22 time: 0.7256 data_time: 0.2640 memory: 13619 grad_norm: 4.5256 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.9393 loss: 0.9393 2022/08/01 13:09:05 - mmengine - INFO - Epoch(train) [66][560/940] lr: 1.0000e-03 eta: 6:56:06 time: 0.7799 data_time: 0.3754 memory: 13619 grad_norm: 4.4462 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9286 loss: 0.9286 2022/08/01 13:09:19 - mmengine - INFO - Epoch(train) [66][580/940] lr: 1.0000e-03 eta: 6:55:50 time: 0.7056 data_time: 0.2343 memory: 13619 grad_norm: 4.4385 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9440 loss: 0.9440 2022/08/01 13:09:36 - mmengine - INFO - Epoch(train) [66][600/940] lr: 1.0000e-03 eta: 6:55:35 time: 0.8194 data_time: 0.4723 memory: 13619 grad_norm: 4.4901 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8472 loss: 0.8472 2022/08/01 13:09:50 - mmengine - INFO - Epoch(train) [66][620/940] lr: 1.0000e-03 eta: 6:55:19 time: 0.7227 data_time: 0.3021 memory: 13619 grad_norm: 4.4801 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8390 loss: 0.8390 2022/08/01 13:10:07 - mmengine - INFO - Epoch(train) [66][640/940] lr: 1.0000e-03 eta: 6:55:04 time: 0.8166 data_time: 0.4253 memory: 13619 grad_norm: 4.3517 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9111 loss: 0.9111 2022/08/01 13:10:20 - mmengine - INFO - Epoch(train) [66][660/940] lr: 1.0000e-03 eta: 6:54:48 time: 0.6976 data_time: 0.3815 memory: 13619 grad_norm: 4.5925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9256 loss: 0.9256 2022/08/01 13:10:37 - mmengine - INFO - Epoch(train) [66][680/940] lr: 1.0000e-03 eta: 6:54:33 time: 0.8351 data_time: 0.5006 memory: 13619 grad_norm: 4.5195 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9925 loss: 0.9925 2022/08/01 13:10:51 - mmengine - INFO - Epoch(train) [66][700/940] lr: 1.0000e-03 eta: 6:54:17 time: 0.6998 data_time: 0.3271 memory: 13619 grad_norm: 4.5022 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9193 loss: 0.9193 2022/08/01 13:11:07 - mmengine - INFO - Epoch(train) [66][720/940] lr: 1.0000e-03 eta: 6:54:02 time: 0.8029 data_time: 0.4520 memory: 13619 grad_norm: 4.4993 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0244 loss: 1.0244 2022/08/01 13:11:22 - mmengine - INFO - Epoch(train) [66][740/940] lr: 1.0000e-03 eta: 6:53:46 time: 0.7114 data_time: 0.2452 memory: 13619 grad_norm: 4.6283 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9832 loss: 0.9832 2022/08/01 13:11:38 - mmengine - INFO - Epoch(train) [66][760/940] lr: 1.0000e-03 eta: 6:53:31 time: 0.8034 data_time: 0.2372 memory: 13619 grad_norm: 4.4406 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9477 loss: 0.9477 2022/08/01 13:11:52 - mmengine - INFO - Epoch(train) [66][780/940] lr: 1.0000e-03 eta: 6:53:15 time: 0.7203 data_time: 0.2589 memory: 13619 grad_norm: 4.4839 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9548 loss: 0.9548 2022/08/01 13:12:09 - mmengine - INFO - Epoch(train) [66][800/940] lr: 1.0000e-03 eta: 6:53:00 time: 0.8357 data_time: 0.4607 memory: 13619 grad_norm: 4.3786 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8445 loss: 0.8445 2022/08/01 13:12:23 - mmengine - INFO - Epoch(train) [66][820/940] lr: 1.0000e-03 eta: 6:52:44 time: 0.7331 data_time: 0.2198 memory: 13619 grad_norm: 4.3964 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8809 loss: 0.8809 2022/08/01 13:12:39 - mmengine - INFO - Epoch(train) [66][840/940] lr: 1.0000e-03 eta: 6:52:29 time: 0.7836 data_time: 0.1680 memory: 13619 grad_norm: 4.4487 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9124 loss: 0.9124 2022/08/01 13:12:54 - mmengine - INFO - Epoch(train) [66][860/940] lr: 1.0000e-03 eta: 6:52:13 time: 0.7601 data_time: 0.1150 memory: 13619 grad_norm: 4.5260 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8462 loss: 0.8462 2022/08/01 13:13:10 - mmengine - INFO - Epoch(train) [66][880/940] lr: 1.0000e-03 eta: 6:51:58 time: 0.8033 data_time: 0.1758 memory: 13619 grad_norm: 4.4194 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8654 loss: 0.8654 2022/08/01 13:13:25 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 13:13:25 - mmengine - INFO - Epoch(train) [66][900/940] lr: 1.0000e-03 eta: 6:51:42 time: 0.7180 data_time: 0.1031 memory: 13619 grad_norm: 4.5284 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8726 loss: 0.8726 2022/08/01 13:13:41 - mmengine - INFO - Epoch(train) [66][920/940] lr: 1.0000e-03 eta: 6:51:27 time: 0.7911 data_time: 0.1156 memory: 13619 grad_norm: 4.5259 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8330 loss: 0.8330 2022/08/01 13:13:53 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 13:13:53 - mmengine - INFO - Epoch(train) [66][940/940] lr: 1.0000e-03 eta: 6:51:10 time: 0.6478 data_time: 0.0817 memory: 13619 grad_norm: 4.8665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9492 loss: 0.9492 2022/08/01 13:13:54 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/08/01 13:14:14 - mmengine - INFO - Epoch(val) [66][20/78] eta: 0:00:51 time: 0.8832 data_time: 0.7919 memory: 2186 2022/08/01 13:14:26 - mmengine - INFO - Epoch(val) [66][40/78] eta: 0:00:22 time: 0.6018 data_time: 0.5090 memory: 2186 2022/08/01 13:14:42 - mmengine - INFO - Epoch(val) [66][60/78] eta: 0:00:14 time: 0.8212 data_time: 0.7276 memory: 2186 2022/08/01 13:14:54 - mmengine - INFO - Epoch(val) [66][78/78] acc/top1: 0.7051 acc/top5: 0.8937 acc/mean1: 0.7050 2022/08/01 13:15:14 - mmengine - INFO - Epoch(train) [67][20/940] lr: 1.0000e-03 eta: 6:50:57 time: 0.9720 data_time: 0.4407 memory: 13619 grad_norm: 4.4724 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 0.9452 loss: 0.9452 2022/08/01 13:15:27 - mmengine - INFO - Epoch(train) [67][40/940] lr: 1.0000e-03 eta: 6:50:40 time: 0.6496 data_time: 0.2388 memory: 13619 grad_norm: 4.4859 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8367 loss: 0.8367 2022/08/01 13:15:44 - mmengine - INFO - Epoch(train) [67][60/940] lr: 1.0000e-03 eta: 6:50:26 time: 0.8621 data_time: 0.2849 memory: 13619 grad_norm: 4.4314 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8759 loss: 0.8759 2022/08/01 13:15:58 - mmengine - INFO - Epoch(train) [67][80/940] lr: 1.0000e-03 eta: 6:50:09 time: 0.6935 data_time: 0.2001 memory: 13619 grad_norm: 4.5276 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9231 loss: 0.9231 2022/08/01 13:16:16 - mmengine - INFO - Epoch(train) [67][100/940] lr: 1.0000e-03 eta: 6:49:55 time: 0.8918 data_time: 0.1789 memory: 13619 grad_norm: 4.4285 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9619 loss: 0.9619 2022/08/01 13:16:29 - mmengine - INFO - Epoch(train) [67][120/940] lr: 1.0000e-03 eta: 6:49:39 time: 0.6634 data_time: 0.0975 memory: 13619 grad_norm: 4.5008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9647 loss: 0.9647 2022/08/01 13:16:47 - mmengine - INFO - Epoch(train) [67][140/940] lr: 1.0000e-03 eta: 6:49:25 time: 0.9121 data_time: 0.0654 memory: 13619 grad_norm: 4.4792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8202 loss: 0.8202 2022/08/01 13:17:01 - mmengine - INFO - Epoch(train) [67][160/940] lr: 1.0000e-03 eta: 6:49:08 time: 0.6930 data_time: 0.0446 memory: 13619 grad_norm: 4.3855 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8287 loss: 0.8287 2022/08/01 13:17:18 - mmengine - INFO - Epoch(train) [67][180/940] lr: 1.0000e-03 eta: 6:48:53 time: 0.8265 data_time: 0.0362 memory: 13619 grad_norm: 4.6238 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9970 loss: 0.9970 2022/08/01 13:17:31 - mmengine - INFO - Epoch(train) [67][200/940] lr: 1.0000e-03 eta: 6:48:37 time: 0.6831 data_time: 0.0392 memory: 13619 grad_norm: 4.4532 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/08/01 13:17:48 - mmengine - INFO - Epoch(train) [67][220/940] lr: 1.0000e-03 eta: 6:48:22 time: 0.8357 data_time: 0.0393 memory: 13619 grad_norm: 4.4261 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9048 loss: 0.9048 2022/08/01 13:18:02 - mmengine - INFO - Epoch(train) [67][240/940] lr: 1.0000e-03 eta: 6:48:06 time: 0.6979 data_time: 0.0362 memory: 13619 grad_norm: 4.5437 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8962 loss: 0.8962 2022/08/01 13:18:19 - mmengine - INFO - Epoch(train) [67][260/940] lr: 1.0000e-03 eta: 6:47:52 time: 0.8577 data_time: 0.0422 memory: 13619 grad_norm: 4.5268 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9360 loss: 0.9360 2022/08/01 13:18:33 - mmengine - INFO - Epoch(train) [67][280/940] lr: 1.0000e-03 eta: 6:47:36 time: 0.7108 data_time: 0.0384 memory: 13619 grad_norm: 4.5056 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9898 loss: 0.9898 2022/08/01 13:18:50 - mmengine - INFO - Epoch(train) [67][300/940] lr: 1.0000e-03 eta: 6:47:21 time: 0.8425 data_time: 0.0385 memory: 13619 grad_norm: 4.4646 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8444 loss: 0.8444 2022/08/01 13:19:05 - mmengine - INFO - Epoch(train) [67][320/940] lr: 1.0000e-03 eta: 6:47:05 time: 0.7430 data_time: 0.0358 memory: 13619 grad_norm: 4.4640 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9002 loss: 0.9002 2022/08/01 13:19:21 - mmengine - INFO - Epoch(train) [67][340/940] lr: 1.0000e-03 eta: 6:46:50 time: 0.7816 data_time: 0.0400 memory: 13619 grad_norm: 4.5660 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9827 loss: 0.9827 2022/08/01 13:19:35 - mmengine - INFO - Epoch(train) [67][360/940] lr: 1.0000e-03 eta: 6:46:34 time: 0.7099 data_time: 0.0367 memory: 13619 grad_norm: 4.5066 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9915 loss: 0.9915 2022/08/01 13:19:51 - mmengine - INFO - Epoch(train) [67][380/940] lr: 1.0000e-03 eta: 6:46:19 time: 0.8159 data_time: 0.0375 memory: 13619 grad_norm: 4.5492 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8495 loss: 0.8495 2022/08/01 13:20:06 - mmengine - INFO - Epoch(train) [67][400/940] lr: 1.0000e-03 eta: 6:46:03 time: 0.7136 data_time: 0.0399 memory: 13619 grad_norm: 4.4177 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8317 loss: 0.8317 2022/08/01 13:20:22 - mmengine - INFO - Epoch(train) [67][420/940] lr: 1.0000e-03 eta: 6:45:48 time: 0.8318 data_time: 0.0387 memory: 13619 grad_norm: 4.5467 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9333 loss: 0.9333 2022/08/01 13:20:36 - mmengine - INFO - Epoch(train) [67][440/940] lr: 1.0000e-03 eta: 6:45:31 time: 0.6658 data_time: 0.0452 memory: 13619 grad_norm: 4.5784 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9565 loss: 0.9565 2022/08/01 13:20:53 - mmengine - INFO - Epoch(train) [67][460/940] lr: 1.0000e-03 eta: 6:45:17 time: 0.8521 data_time: 0.0386 memory: 13619 grad_norm: 4.4815 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8906 loss: 0.8906 2022/08/01 13:21:06 - mmengine - INFO - Epoch(train) [67][480/940] lr: 1.0000e-03 eta: 6:45:00 time: 0.6515 data_time: 0.0376 memory: 13619 grad_norm: 4.4828 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9259 loss: 0.9259 2022/08/01 13:21:23 - mmengine - INFO - Epoch(train) [67][500/940] lr: 1.0000e-03 eta: 6:44:46 time: 0.8892 data_time: 0.0417 memory: 13619 grad_norm: 4.5259 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0383 loss: 1.0383 2022/08/01 13:21:36 - mmengine - INFO - Epoch(train) [67][520/940] lr: 1.0000e-03 eta: 6:44:29 time: 0.6462 data_time: 0.0383 memory: 13619 grad_norm: 4.5850 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8458 loss: 0.8458 2022/08/01 13:21:53 - mmengine - INFO - Epoch(train) [67][540/940] lr: 1.0000e-03 eta: 6:44:14 time: 0.8405 data_time: 0.0407 memory: 13619 grad_norm: 4.4946 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0530 loss: 1.0530 2022/08/01 13:22:06 - mmengine - INFO - Epoch(train) [67][560/940] lr: 1.0000e-03 eta: 6:43:58 time: 0.6527 data_time: 0.0415 memory: 13619 grad_norm: 4.4918 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9626 loss: 0.9626 2022/08/01 13:22:23 - mmengine - INFO - Epoch(train) [67][580/940] lr: 1.0000e-03 eta: 6:43:43 time: 0.8504 data_time: 0.0361 memory: 13619 grad_norm: 4.4746 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9480 loss: 0.9480 2022/08/01 13:22:37 - mmengine - INFO - Epoch(train) [67][600/940] lr: 1.0000e-03 eta: 6:43:27 time: 0.6740 data_time: 0.0356 memory: 13619 grad_norm: 4.5032 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9413 loss: 0.9413 2022/08/01 13:22:54 - mmengine - INFO - Epoch(train) [67][620/940] lr: 1.0000e-03 eta: 6:43:12 time: 0.8432 data_time: 0.0410 memory: 13619 grad_norm: 4.4880 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8634 loss: 0.8634 2022/08/01 13:23:07 - mmengine - INFO - Epoch(train) [67][640/940] lr: 1.0000e-03 eta: 6:42:56 time: 0.6876 data_time: 0.0359 memory: 13619 grad_norm: 4.5102 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8839 loss: 0.8839 2022/08/01 13:23:24 - mmengine - INFO - Epoch(train) [67][660/940] lr: 1.0000e-03 eta: 6:42:41 time: 0.8125 data_time: 0.0420 memory: 13619 grad_norm: 4.5915 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9468 loss: 0.9468 2022/08/01 13:23:39 - mmengine - INFO - Epoch(train) [67][680/940] lr: 1.0000e-03 eta: 6:42:25 time: 0.7519 data_time: 0.0357 memory: 13619 grad_norm: 4.5075 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.9534 loss: 0.9534 2022/08/01 13:23:55 - mmengine - INFO - Epoch(train) [67][700/940] lr: 1.0000e-03 eta: 6:42:10 time: 0.7930 data_time: 0.0408 memory: 13619 grad_norm: 4.4622 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9619 loss: 0.9619 2022/08/01 13:24:09 - mmengine - INFO - Epoch(train) [67][720/940] lr: 1.0000e-03 eta: 6:41:54 time: 0.7239 data_time: 0.0707 memory: 13619 grad_norm: 4.3550 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8849 loss: 0.8849 2022/08/01 13:24:27 - mmengine - INFO - Epoch(train) [67][740/940] lr: 1.0000e-03 eta: 6:41:39 time: 0.8841 data_time: 0.0786 memory: 13619 grad_norm: 4.3579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/01 13:24:40 - mmengine - INFO - Epoch(train) [67][760/940] lr: 1.0000e-03 eta: 6:41:23 time: 0.6666 data_time: 0.0355 memory: 13619 grad_norm: 4.5381 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8846 loss: 0.8846 2022/08/01 13:24:57 - mmengine - INFO - Epoch(train) [67][780/940] lr: 1.0000e-03 eta: 6:41:08 time: 0.8365 data_time: 0.0535 memory: 13619 grad_norm: 4.6000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8517 loss: 0.8517 2022/08/01 13:25:11 - mmengine - INFO - Epoch(train) [67][800/940] lr: 1.0000e-03 eta: 6:40:52 time: 0.7070 data_time: 0.0384 memory: 13619 grad_norm: 4.4993 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9402 loss: 0.9402 2022/08/01 13:25:29 - mmengine - INFO - Epoch(train) [67][820/940] lr: 1.0000e-03 eta: 6:40:38 time: 0.8899 data_time: 0.0384 memory: 13619 grad_norm: 4.4590 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9747 loss: 0.9747 2022/08/01 13:25:41 - mmengine - INFO - Epoch(train) [67][840/940] lr: 1.0000e-03 eta: 6:40:21 time: 0.6249 data_time: 0.0375 memory: 13619 grad_norm: 4.4866 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0006 loss: 1.0006 2022/08/01 13:25:57 - mmengine - INFO - Epoch(train) [67][860/940] lr: 1.0000e-03 eta: 6:40:06 time: 0.7949 data_time: 0.0384 memory: 13619 grad_norm: 4.5343 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9412 loss: 0.9412 2022/08/01 13:26:11 - mmengine - INFO - Epoch(train) [67][880/940] lr: 1.0000e-03 eta: 6:39:49 time: 0.6724 data_time: 0.0390 memory: 13619 grad_norm: 4.6292 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8676 loss: 0.8676 2022/08/01 13:26:26 - mmengine - INFO - Epoch(train) [67][900/940] lr: 1.0000e-03 eta: 6:39:34 time: 0.7864 data_time: 0.0363 memory: 13619 grad_norm: 4.5856 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9229 loss: 0.9229 2022/08/01 13:26:41 - mmengine - INFO - Epoch(train) [67][920/940] lr: 1.0000e-03 eta: 6:39:18 time: 0.7365 data_time: 0.0382 memory: 13619 grad_norm: 4.5973 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9040 loss: 0.9040 2022/08/01 13:26:54 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 13:26:54 - mmengine - INFO - Epoch(train) [67][940/940] lr: 1.0000e-03 eta: 6:39:01 time: 0.6376 data_time: 0.0267 memory: 13619 grad_norm: 4.7529 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 0.9602 loss: 0.9602 2022/08/01 13:27:11 - mmengine - INFO - Epoch(val) [67][20/78] eta: 0:00:49 time: 0.8564 data_time: 0.7598 memory: 2186 2022/08/01 13:27:23 - mmengine - INFO - Epoch(val) [67][40/78] eta: 0:00:22 time: 0.6015 data_time: 0.5066 memory: 2186 2022/08/01 13:27:40 - mmengine - INFO - Epoch(val) [67][60/78] eta: 0:00:14 time: 0.8245 data_time: 0.7186 memory: 2186 2022/08/01 13:27:54 - mmengine - INFO - Epoch(val) [67][78/78] acc/top1: 0.7041 acc/top5: 0.8929 acc/mean1: 0.7040 2022/08/01 13:28:14 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 13:28:14 - mmengine - INFO - Epoch(train) [68][20/940] lr: 1.0000e-03 eta: 6:38:48 time: 1.0035 data_time: 0.5663 memory: 13619 grad_norm: 4.4984 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.9149 loss: 0.9149 2022/08/01 13:28:27 - mmengine - INFO - Epoch(train) [68][40/940] lr: 1.0000e-03 eta: 6:38:32 time: 0.6838 data_time: 0.3520 memory: 13619 grad_norm: 4.5094 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9349 loss: 0.9349 2022/08/01 13:28:44 - mmengine - INFO - Epoch(train) [68][60/940] lr: 1.0000e-03 eta: 6:38:17 time: 0.8525 data_time: 0.5112 memory: 13619 grad_norm: 4.4931 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9496 loss: 0.9496 2022/08/01 13:28:58 - mmengine - INFO - Epoch(train) [68][80/940] lr: 1.0000e-03 eta: 6:38:01 time: 0.6927 data_time: 0.3764 memory: 13619 grad_norm: 4.5289 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9714 loss: 0.9714 2022/08/01 13:29:15 - mmengine - INFO - Epoch(train) [68][100/940] lr: 1.0000e-03 eta: 6:37:46 time: 0.8199 data_time: 0.5154 memory: 13619 grad_norm: 4.5034 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8783 loss: 0.8783 2022/08/01 13:29:29 - mmengine - INFO - Epoch(train) [68][120/940] lr: 1.0000e-03 eta: 6:37:30 time: 0.6969 data_time: 0.3976 memory: 13619 grad_norm: 4.3692 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8909 loss: 0.8909 2022/08/01 13:29:47 - mmengine - INFO - Epoch(train) [68][140/940] lr: 1.0000e-03 eta: 6:37:16 time: 0.8937 data_time: 0.5702 memory: 13619 grad_norm: 4.4140 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9042 loss: 0.9042 2022/08/01 13:29:59 - mmengine - INFO - Epoch(train) [68][160/940] lr: 1.0000e-03 eta: 6:36:59 time: 0.6422 data_time: 0.3322 memory: 13619 grad_norm: 4.4350 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8066 loss: 0.8066 2022/08/01 13:30:16 - mmengine - INFO - Epoch(train) [68][180/940] lr: 1.0000e-03 eta: 6:36:44 time: 0.8224 data_time: 0.5096 memory: 13619 grad_norm: 4.4292 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8513 loss: 0.8513 2022/08/01 13:30:29 - mmengine - INFO - Epoch(train) [68][200/940] lr: 1.0000e-03 eta: 6:36:28 time: 0.6653 data_time: 0.3626 memory: 13619 grad_norm: 4.5424 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9693 loss: 0.9693 2022/08/01 13:30:47 - mmengine - INFO - Epoch(train) [68][220/940] lr: 1.0000e-03 eta: 6:36:13 time: 0.8725 data_time: 0.4704 memory: 13619 grad_norm: 4.5227 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0133 loss: 1.0133 2022/08/01 13:31:00 - mmengine - INFO - Epoch(train) [68][240/940] lr: 1.0000e-03 eta: 6:35:57 time: 0.6790 data_time: 0.3269 memory: 13619 grad_norm: 4.5779 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9083 loss: 0.9083 2022/08/01 13:31:17 - mmengine - INFO - Epoch(train) [68][260/940] lr: 1.0000e-03 eta: 6:35:42 time: 0.8479 data_time: 0.5341 memory: 13619 grad_norm: 4.3438 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9250 loss: 0.9250 2022/08/01 13:31:31 - mmengine - INFO - Epoch(train) [68][280/940] lr: 1.0000e-03 eta: 6:35:26 time: 0.6914 data_time: 0.3818 memory: 13619 grad_norm: 4.5407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8712 loss: 0.8712 2022/08/01 13:31:48 - mmengine - INFO - Epoch(train) [68][300/940] lr: 1.0000e-03 eta: 6:35:11 time: 0.8512 data_time: 0.5149 memory: 13619 grad_norm: 4.4988 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8874 loss: 0.8874 2022/08/01 13:32:01 - mmengine - INFO - Epoch(train) [68][320/940] lr: 1.0000e-03 eta: 6:34:55 time: 0.6585 data_time: 0.3463 memory: 13619 grad_norm: 4.5389 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9624 loss: 0.9624 2022/08/01 13:32:19 - mmengine - INFO - Epoch(train) [68][340/940] lr: 1.0000e-03 eta: 6:34:40 time: 0.8772 data_time: 0.5518 memory: 13619 grad_norm: 4.5061 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9565 loss: 0.9565 2022/08/01 13:32:32 - mmengine - INFO - Epoch(train) [68][360/940] lr: 1.0000e-03 eta: 6:34:24 time: 0.6485 data_time: 0.3289 memory: 13619 grad_norm: 4.4647 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9218 loss: 0.9218 2022/08/01 13:32:50 - mmengine - INFO - Epoch(train) [68][380/940] lr: 1.0000e-03 eta: 6:34:09 time: 0.8975 data_time: 0.5753 memory: 13619 grad_norm: 4.4302 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9045 loss: 0.9045 2022/08/01 13:33:04 - mmengine - INFO - Epoch(train) [68][400/940] lr: 1.0000e-03 eta: 6:33:53 time: 0.6918 data_time: 0.3791 memory: 13619 grad_norm: 4.5367 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0316 loss: 1.0316 2022/08/01 13:33:21 - mmengine - INFO - Epoch(train) [68][420/940] lr: 1.0000e-03 eta: 6:33:39 time: 0.8744 data_time: 0.5472 memory: 13619 grad_norm: 4.4836 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9335 loss: 0.9335 2022/08/01 13:33:35 - mmengine - INFO - Epoch(train) [68][440/940] lr: 1.0000e-03 eta: 6:33:23 time: 0.7121 data_time: 0.3913 memory: 13619 grad_norm: 4.6146 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9991 loss: 0.9991 2022/08/01 13:33:51 - mmengine - INFO - Epoch(train) [68][460/940] lr: 1.0000e-03 eta: 6:33:07 time: 0.7724 data_time: 0.4691 memory: 13619 grad_norm: 4.4343 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9854 loss: 0.9854 2022/08/01 13:34:05 - mmengine - INFO - Epoch(train) [68][480/940] lr: 1.0000e-03 eta: 6:32:51 time: 0.7300 data_time: 0.3826 memory: 13619 grad_norm: 4.5908 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9276 loss: 0.9276 2022/08/01 13:34:22 - mmengine - INFO - Epoch(train) [68][500/940] lr: 1.0000e-03 eta: 6:32:37 time: 0.8465 data_time: 0.5236 memory: 13619 grad_norm: 4.4573 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9683 loss: 0.9683 2022/08/01 13:34:37 - mmengine - INFO - Epoch(train) [68][520/940] lr: 1.0000e-03 eta: 6:32:21 time: 0.7104 data_time: 0.3536 memory: 13619 grad_norm: 4.5603 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9102 loss: 0.9102 2022/08/01 13:34:52 - mmengine - INFO - Epoch(train) [68][540/940] lr: 1.0000e-03 eta: 6:32:05 time: 0.7902 data_time: 0.3332 memory: 13619 grad_norm: 4.4825 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8222 loss: 0.8222 2022/08/01 13:35:06 - mmengine - INFO - Epoch(train) [68][560/940] lr: 1.0000e-03 eta: 6:31:49 time: 0.6764 data_time: 0.2679 memory: 13619 grad_norm: 4.5298 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8733 loss: 0.8733 2022/08/01 13:35:25 - mmengine - INFO - Epoch(train) [68][580/940] lr: 1.0000e-03 eta: 6:31:35 time: 0.9607 data_time: 0.3613 memory: 13619 grad_norm: 4.4825 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9566 loss: 0.9566 2022/08/01 13:35:36 - mmengine - INFO - Epoch(train) [68][600/940] lr: 1.0000e-03 eta: 6:31:18 time: 0.5684 data_time: 0.2606 memory: 13619 grad_norm: 4.5445 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9561 loss: 0.9561 2022/08/01 13:35:53 - mmengine - INFO - Epoch(train) [68][620/940] lr: 1.0000e-03 eta: 6:31:03 time: 0.8202 data_time: 0.3315 memory: 13619 grad_norm: 4.5195 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8499 loss: 0.8499 2022/08/01 13:36:07 - mmengine - INFO - Epoch(train) [68][640/940] lr: 1.0000e-03 eta: 6:30:47 time: 0.7162 data_time: 0.2991 memory: 13619 grad_norm: 4.5128 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0524 loss: 1.0524 2022/08/01 13:36:24 - mmengine - INFO - Epoch(train) [68][660/940] lr: 1.0000e-03 eta: 6:30:32 time: 0.8183 data_time: 0.3100 memory: 13619 grad_norm: 4.4196 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9295 loss: 0.9295 2022/08/01 13:36:39 - mmengine - INFO - Epoch(train) [68][680/940] lr: 1.0000e-03 eta: 6:30:17 time: 0.7558 data_time: 0.1577 memory: 13619 grad_norm: 4.5422 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0591 loss: 1.0591 2022/08/01 13:36:53 - mmengine - INFO - Epoch(train) [68][700/940] lr: 1.0000e-03 eta: 6:30:01 time: 0.7241 data_time: 0.0901 memory: 13619 grad_norm: 4.5150 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9189 loss: 0.9189 2022/08/01 13:37:11 - mmengine - INFO - Epoch(train) [68][720/940] lr: 1.0000e-03 eta: 6:29:46 time: 0.8749 data_time: 0.0339 memory: 13619 grad_norm: 4.4974 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8839 loss: 0.8839 2022/08/01 13:37:25 - mmengine - INFO - Epoch(train) [68][740/940] lr: 1.0000e-03 eta: 6:29:30 time: 0.6914 data_time: 0.0679 memory: 13619 grad_norm: 4.5957 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9075 loss: 0.9075 2022/08/01 13:37:40 - mmengine - INFO - Epoch(train) [68][760/940] lr: 1.0000e-03 eta: 6:29:15 time: 0.7894 data_time: 0.1019 memory: 13619 grad_norm: 4.5202 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9272 loss: 0.9272 2022/08/01 13:37:56 - mmengine - INFO - Epoch(train) [68][780/940] lr: 1.0000e-03 eta: 6:28:59 time: 0.7597 data_time: 0.2083 memory: 13619 grad_norm: 4.4733 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8700 loss: 0.8700 2022/08/01 13:38:10 - mmengine - INFO - Epoch(train) [68][800/940] lr: 1.0000e-03 eta: 6:28:43 time: 0.7380 data_time: 0.1666 memory: 13619 grad_norm: 4.4143 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8671 loss: 0.8671 2022/08/01 13:38:26 - mmengine - INFO - Epoch(train) [68][820/940] lr: 1.0000e-03 eta: 6:28:28 time: 0.7871 data_time: 0.3791 memory: 13619 grad_norm: 4.5947 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8987 loss: 0.8987 2022/08/01 13:38:40 - mmengine - INFO - Epoch(train) [68][840/940] lr: 1.0000e-03 eta: 6:28:12 time: 0.7099 data_time: 0.2092 memory: 13619 grad_norm: 4.6069 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9435 loss: 0.9435 2022/08/01 13:38:57 - mmengine - INFO - Epoch(train) [68][860/940] lr: 1.0000e-03 eta: 6:27:57 time: 0.8057 data_time: 0.2945 memory: 13619 grad_norm: 4.5262 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9816 loss: 0.9816 2022/08/01 13:39:11 - mmengine - INFO - Epoch(train) [68][880/940] lr: 1.0000e-03 eta: 6:27:41 time: 0.7475 data_time: 0.2096 memory: 13619 grad_norm: 4.4551 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8983 loss: 0.8983 2022/08/01 13:39:27 - mmengine - INFO - Epoch(train) [68][900/940] lr: 1.0000e-03 eta: 6:27:26 time: 0.7736 data_time: 0.2162 memory: 13619 grad_norm: 4.5470 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0177 loss: 1.0177 2022/08/01 13:39:43 - mmengine - INFO - Epoch(train) [68][920/940] lr: 1.0000e-03 eta: 6:27:11 time: 0.8293 data_time: 0.0393 memory: 13619 grad_norm: 4.5265 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9787 loss: 0.9787 2022/08/01 13:39:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 13:39:55 - mmengine - INFO - Epoch(train) [68][940/940] lr: 1.0000e-03 eta: 6:26:54 time: 0.5737 data_time: 0.0548 memory: 13619 grad_norm: 4.7393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9349 loss: 0.9349 2022/08/01 13:40:12 - mmengine - INFO - Epoch(val) [68][20/78] eta: 0:00:49 time: 0.8505 data_time: 0.7580 memory: 2186 2022/08/01 13:40:24 - mmengine - INFO - Epoch(val) [68][40/78] eta: 0:00:23 time: 0.6153 data_time: 0.5236 memory: 2186 2022/08/01 13:40:40 - mmengine - INFO - Epoch(val) [68][60/78] eta: 0:00:14 time: 0.8041 data_time: 0.7093 memory: 2186 2022/08/01 13:40:54 - mmengine - INFO - Epoch(val) [68][78/78] acc/top1: 0.7070 acc/top5: 0.8929 acc/mean1: 0.7069 2022/08/01 13:41:13 - mmengine - INFO - Epoch(train) [69][20/940] lr: 1.0000e-03 eta: 6:26:40 time: 0.9542 data_time: 0.6507 memory: 13619 grad_norm: 4.5347 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0088 loss: 1.0088 2022/08/01 13:41:28 - mmengine - INFO - Epoch(train) [69][40/940] lr: 1.0000e-03 eta: 6:26:24 time: 0.7241 data_time: 0.3956 memory: 13619 grad_norm: 4.4363 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9198 loss: 0.9198 2022/08/01 13:41:45 - mmengine - INFO - Epoch(train) [69][60/940] lr: 1.0000e-03 eta: 6:26:10 time: 0.8818 data_time: 0.4733 memory: 13619 grad_norm: 4.5318 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9672 loss: 0.9672 2022/08/01 13:42:00 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 13:42:00 - mmengine - INFO - Epoch(train) [69][80/940] lr: 1.0000e-03 eta: 6:25:54 time: 0.7040 data_time: 0.2002 memory: 13619 grad_norm: 4.4848 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9072 loss: 0.9072 2022/08/01 13:42:16 - mmengine - INFO - Epoch(train) [69][100/940] lr: 1.0000e-03 eta: 6:25:39 time: 0.8305 data_time: 0.2777 memory: 13619 grad_norm: 4.6128 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8404 loss: 0.8404 2022/08/01 13:42:30 - mmengine - INFO - Epoch(train) [69][120/940] lr: 1.0000e-03 eta: 6:25:23 time: 0.6929 data_time: 0.2588 memory: 13619 grad_norm: 4.5527 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8924 loss: 0.8924 2022/08/01 13:42:47 - mmengine - INFO - Epoch(train) [69][140/940] lr: 1.0000e-03 eta: 6:25:08 time: 0.8535 data_time: 0.3147 memory: 13619 grad_norm: 4.4006 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8815 loss: 0.8815 2022/08/01 13:43:00 - mmengine - INFO - Epoch(train) [69][160/940] lr: 1.0000e-03 eta: 6:24:51 time: 0.6404 data_time: 0.2275 memory: 13619 grad_norm: 4.4754 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8764 loss: 0.8764 2022/08/01 13:43:17 - mmengine - INFO - Epoch(train) [69][180/940] lr: 1.0000e-03 eta: 6:24:37 time: 0.8617 data_time: 0.4533 memory: 13619 grad_norm: 4.5124 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9265 loss: 0.9265 2022/08/01 13:43:30 - mmengine - INFO - Epoch(train) [69][200/940] lr: 1.0000e-03 eta: 6:24:20 time: 0.6636 data_time: 0.2379 memory: 13619 grad_norm: 4.4464 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9182 loss: 0.9182 2022/08/01 13:43:48 - mmengine - INFO - Epoch(train) [69][220/940] lr: 1.0000e-03 eta: 6:24:06 time: 0.8513 data_time: 0.3033 memory: 13619 grad_norm: 4.3810 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9379 loss: 0.9379 2022/08/01 13:44:01 - mmengine - INFO - Epoch(train) [69][240/940] lr: 1.0000e-03 eta: 6:23:49 time: 0.6553 data_time: 0.2837 memory: 13619 grad_norm: 4.4821 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9492 loss: 0.9492 2022/08/01 13:44:18 - mmengine - INFO - Epoch(train) [69][260/940] lr: 1.0000e-03 eta: 6:23:34 time: 0.8507 data_time: 0.5113 memory: 13619 grad_norm: 4.4059 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9342 loss: 0.9342 2022/08/01 13:44:32 - mmengine - INFO - Epoch(train) [69][280/940] lr: 1.0000e-03 eta: 6:23:18 time: 0.7168 data_time: 0.2178 memory: 13619 grad_norm: 4.5810 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8499 loss: 0.8499 2022/08/01 13:44:48 - mmengine - INFO - Epoch(train) [69][300/940] lr: 1.0000e-03 eta: 6:23:03 time: 0.8174 data_time: 0.4372 memory: 13619 grad_norm: 4.4750 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8787 loss: 0.8787 2022/08/01 13:45:03 - mmengine - INFO - Epoch(train) [69][320/940] lr: 1.0000e-03 eta: 6:22:47 time: 0.7202 data_time: 0.2757 memory: 13619 grad_norm: 4.4224 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7547 loss: 0.7547 2022/08/01 13:45:19 - mmengine - INFO - Epoch(train) [69][340/940] lr: 1.0000e-03 eta: 6:22:33 time: 0.8374 data_time: 0.0654 memory: 13619 grad_norm: 4.4896 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.9975 loss: 0.9975 2022/08/01 13:45:34 - mmengine - INFO - Epoch(train) [69][360/940] lr: 1.0000e-03 eta: 6:22:17 time: 0.7170 data_time: 0.0340 memory: 13619 grad_norm: 4.5434 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9175 loss: 0.9175 2022/08/01 13:45:48 - mmengine - INFO - Epoch(train) [69][380/940] lr: 1.0000e-03 eta: 6:22:01 time: 0.7109 data_time: 0.0453 memory: 13619 grad_norm: 4.4346 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9261 loss: 0.9261 2022/08/01 13:46:04 - mmengine - INFO - Epoch(train) [69][400/940] lr: 1.0000e-03 eta: 6:21:45 time: 0.7998 data_time: 0.0325 memory: 13619 grad_norm: 4.4142 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8627 loss: 0.8627 2022/08/01 13:46:18 - mmengine - INFO - Epoch(train) [69][420/940] lr: 1.0000e-03 eta: 6:21:30 time: 0.7129 data_time: 0.0434 memory: 13619 grad_norm: 4.4553 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8346 loss: 0.8346 2022/08/01 13:46:34 - mmengine - INFO - Epoch(train) [69][440/940] lr: 1.0000e-03 eta: 6:21:14 time: 0.8024 data_time: 0.0290 memory: 13619 grad_norm: 4.6210 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0079 loss: 1.0079 2022/08/01 13:46:49 - mmengine - INFO - Epoch(train) [69][460/940] lr: 1.0000e-03 eta: 6:20:59 time: 0.7273 data_time: 0.0390 memory: 13619 grad_norm: 4.4727 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9270 loss: 0.9270 2022/08/01 13:47:06 - mmengine - INFO - Epoch(train) [69][480/940] lr: 1.0000e-03 eta: 6:20:44 time: 0.8341 data_time: 0.0426 memory: 13619 grad_norm: 4.5728 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0133 loss: 1.0133 2022/08/01 13:47:20 - mmengine - INFO - Epoch(train) [69][500/940] lr: 1.0000e-03 eta: 6:20:28 time: 0.7019 data_time: 0.0936 memory: 13619 grad_norm: 4.4632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9898 loss: 0.9898 2022/08/01 13:47:36 - mmengine - INFO - Epoch(train) [69][520/940] lr: 1.0000e-03 eta: 6:20:13 time: 0.8212 data_time: 0.0390 memory: 13619 grad_norm: 4.4994 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9530 loss: 0.9530 2022/08/01 13:47:49 - mmengine - INFO - Epoch(train) [69][540/940] lr: 1.0000e-03 eta: 6:19:56 time: 0.6542 data_time: 0.0500 memory: 13619 grad_norm: 4.5249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/08/01 13:48:07 - mmengine - INFO - Epoch(train) [69][560/940] lr: 1.0000e-03 eta: 6:19:42 time: 0.8665 data_time: 0.0476 memory: 13619 grad_norm: 4.6072 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9203 loss: 0.9203 2022/08/01 13:48:21 - mmengine - INFO - Epoch(train) [69][580/940] lr: 1.0000e-03 eta: 6:19:26 time: 0.7391 data_time: 0.0366 memory: 13619 grad_norm: 4.5557 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8853 loss: 0.8853 2022/08/01 13:48:36 - mmengine - INFO - Epoch(train) [69][600/940] lr: 1.0000e-03 eta: 6:19:10 time: 0.7554 data_time: 0.0785 memory: 13619 grad_norm: 4.5341 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9129 loss: 0.9129 2022/08/01 13:48:52 - mmengine - INFO - Epoch(train) [69][620/940] lr: 1.0000e-03 eta: 6:18:55 time: 0.7732 data_time: 0.2267 memory: 13619 grad_norm: 4.4371 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8741 loss: 0.8741 2022/08/01 13:49:07 - mmengine - INFO - Epoch(train) [69][640/940] lr: 1.0000e-03 eta: 6:18:39 time: 0.7753 data_time: 0.3476 memory: 13619 grad_norm: 4.4429 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9539 loss: 0.9539 2022/08/01 13:49:24 - mmengine - INFO - Epoch(train) [69][660/940] lr: 1.0000e-03 eta: 6:18:24 time: 0.8081 data_time: 0.4977 memory: 13619 grad_norm: 4.5140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8910 loss: 0.8910 2022/08/01 13:49:37 - mmengine - INFO - Epoch(train) [69][680/940] lr: 1.0000e-03 eta: 6:18:08 time: 0.6862 data_time: 0.3005 memory: 13619 grad_norm: 4.5580 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9032 loss: 0.9032 2022/08/01 13:49:54 - mmengine - INFO - Epoch(train) [69][700/940] lr: 1.0000e-03 eta: 6:17:53 time: 0.8459 data_time: 0.4269 memory: 13619 grad_norm: 4.4869 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8816 loss: 0.8816 2022/08/01 13:50:09 - mmengine - INFO - Epoch(train) [69][720/940] lr: 1.0000e-03 eta: 6:17:38 time: 0.7485 data_time: 0.1818 memory: 13619 grad_norm: 4.5520 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8492 loss: 0.8492 2022/08/01 13:50:24 - mmengine - INFO - Epoch(train) [69][740/940] lr: 1.0000e-03 eta: 6:17:22 time: 0.7542 data_time: 0.2504 memory: 13619 grad_norm: 4.5160 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9636 loss: 0.9636 2022/08/01 13:50:40 - mmengine - INFO - Epoch(train) [69][760/940] lr: 1.0000e-03 eta: 6:17:07 time: 0.7730 data_time: 0.1868 memory: 13619 grad_norm: 4.4654 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9128 loss: 0.9128 2022/08/01 13:50:54 - mmengine - INFO - Epoch(train) [69][780/940] lr: 1.0000e-03 eta: 6:16:51 time: 0.7097 data_time: 0.0918 memory: 13619 grad_norm: 4.4101 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8906 loss: 0.8906 2022/08/01 13:51:10 - mmengine - INFO - Epoch(train) [69][800/940] lr: 1.0000e-03 eta: 6:16:36 time: 0.8140 data_time: 0.0799 memory: 13619 grad_norm: 4.5591 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9303 loss: 0.9303 2022/08/01 13:51:26 - mmengine - INFO - Epoch(train) [69][820/940] lr: 1.0000e-03 eta: 6:16:20 time: 0.7708 data_time: 0.2376 memory: 13619 grad_norm: 4.4825 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9689 loss: 0.9689 2022/08/01 13:51:42 - mmengine - INFO - Epoch(train) [69][840/940] lr: 1.0000e-03 eta: 6:16:05 time: 0.8000 data_time: 0.1003 memory: 13619 grad_norm: 4.6176 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9054 loss: 0.9054 2022/08/01 13:51:57 - mmengine - INFO - Epoch(train) [69][860/940] lr: 1.0000e-03 eta: 6:15:49 time: 0.7669 data_time: 0.2107 memory: 13619 grad_norm: 4.5166 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9230 loss: 0.9230 2022/08/01 13:52:12 - mmengine - INFO - Epoch(train) [69][880/940] lr: 1.0000e-03 eta: 6:15:34 time: 0.7328 data_time: 0.1607 memory: 13619 grad_norm: 4.5209 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9596 loss: 0.9596 2022/08/01 13:52:27 - mmengine - INFO - Epoch(train) [69][900/940] lr: 1.0000e-03 eta: 6:15:18 time: 0.7843 data_time: 0.3404 memory: 13619 grad_norm: 4.4840 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9780 loss: 0.9780 2022/08/01 13:52:42 - mmengine - INFO - Epoch(train) [69][920/940] lr: 1.0000e-03 eta: 6:15:03 time: 0.7303 data_time: 0.2589 memory: 13619 grad_norm: 4.5145 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7707 loss: 0.7707 2022/08/01 13:52:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 13:52:55 - mmengine - INFO - Epoch(train) [69][940/940] lr: 1.0000e-03 eta: 6:14:46 time: 0.6326 data_time: 0.1274 memory: 13619 grad_norm: 4.9350 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8470 loss: 0.8470 2022/08/01 13:52:55 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/08/01 13:53:14 - mmengine - INFO - Epoch(val) [69][20/78] eta: 0:00:51 time: 0.8795 data_time: 0.7877 memory: 2186 2022/08/01 13:53:26 - mmengine - INFO - Epoch(val) [69][40/78] eta: 0:00:22 time: 0.6036 data_time: 0.5097 memory: 2186 2022/08/01 13:53:43 - mmengine - INFO - Epoch(val) [69][60/78] eta: 0:00:14 time: 0.8281 data_time: 0.7353 memory: 2186 2022/08/01 13:53:55 - mmengine - INFO - Epoch(val) [69][78/78] acc/top1: 0.7068 acc/top5: 0.8940 acc/mean1: 0.7066 2022/08/01 13:54:16 - mmengine - INFO - Epoch(train) [70][20/940] lr: 1.0000e-03 eta: 6:14:33 time: 1.0150 data_time: 0.6282 memory: 13619 grad_norm: 4.6421 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.9350 loss: 0.9350 2022/08/01 13:54:29 - mmengine - INFO - Epoch(train) [70][40/940] lr: 1.0000e-03 eta: 6:14:16 time: 0.6426 data_time: 0.2150 memory: 13619 grad_norm: 4.5337 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9249 loss: 0.9249 2022/08/01 13:54:45 - mmengine - INFO - Epoch(train) [70][60/940] lr: 1.0000e-03 eta: 6:14:01 time: 0.8324 data_time: 0.3093 memory: 13619 grad_norm: 4.5010 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8897 loss: 0.8897 2022/08/01 13:54:59 - mmengine - INFO - Epoch(train) [70][80/940] lr: 1.0000e-03 eta: 6:13:45 time: 0.6679 data_time: 0.1543 memory: 13619 grad_norm: 4.5551 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8961 loss: 0.8961 2022/08/01 13:55:16 - mmengine - INFO - Epoch(train) [70][100/940] lr: 1.0000e-03 eta: 6:13:30 time: 0.8579 data_time: 0.4701 memory: 13619 grad_norm: 4.4762 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9076 loss: 0.9076 2022/08/01 13:55:29 - mmengine - INFO - Epoch(train) [70][120/940] lr: 1.0000e-03 eta: 6:13:14 time: 0.6618 data_time: 0.3604 memory: 13619 grad_norm: 4.3481 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8399 loss: 0.8399 2022/08/01 13:55:46 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 13:55:46 - mmengine - INFO - Epoch(train) [70][140/940] lr: 1.0000e-03 eta: 6:12:59 time: 0.8532 data_time: 0.4918 memory: 13619 grad_norm: 4.5718 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9005 loss: 0.9005 2022/08/01 13:56:00 - mmengine - INFO - Epoch(train) [70][160/940] lr: 1.0000e-03 eta: 6:12:43 time: 0.6703 data_time: 0.2726 memory: 13619 grad_norm: 4.5468 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9523 loss: 0.9523 2022/08/01 13:56:17 - mmengine - INFO - Epoch(train) [70][180/940] lr: 1.0000e-03 eta: 6:12:28 time: 0.8663 data_time: 0.4691 memory: 13619 grad_norm: 4.5490 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9089 loss: 0.9089 2022/08/01 13:56:31 - mmengine - INFO - Epoch(train) [70][200/940] lr: 1.0000e-03 eta: 6:12:12 time: 0.6830 data_time: 0.2183 memory: 13619 grad_norm: 4.4460 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8562 loss: 0.8562 2022/08/01 13:56:48 - mmengine - INFO - Epoch(train) [70][220/940] lr: 1.0000e-03 eta: 6:11:58 time: 0.8932 data_time: 0.2112 memory: 13619 grad_norm: 4.5125 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0000 loss: 1.0000 2022/08/01 13:57:01 - mmengine - INFO - Epoch(train) [70][240/940] lr: 1.0000e-03 eta: 6:11:41 time: 0.6372 data_time: 0.1228 memory: 13619 grad_norm: 4.5086 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8762 loss: 0.8762 2022/08/01 13:57:19 - mmengine - INFO - Epoch(train) [70][260/940] lr: 1.0000e-03 eta: 6:11:26 time: 0.8840 data_time: 0.2455 memory: 13619 grad_norm: 4.4585 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9239 loss: 0.9239 2022/08/01 13:57:33 - mmengine - INFO - Epoch(train) [70][280/940] lr: 1.0000e-03 eta: 6:11:10 time: 0.6990 data_time: 0.1563 memory: 13619 grad_norm: 4.4774 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8357 loss: 0.8357 2022/08/01 13:57:50 - mmengine - INFO - Epoch(train) [70][300/940] lr: 1.0000e-03 eta: 6:10:56 time: 0.8366 data_time: 0.1508 memory: 13619 grad_norm: 4.4798 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9094 loss: 0.9094 2022/08/01 13:58:02 - mmengine - INFO - Epoch(train) [70][320/940] lr: 1.0000e-03 eta: 6:10:39 time: 0.6390 data_time: 0.0718 memory: 13619 grad_norm: 4.4825 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0065 loss: 1.0065 2022/08/01 13:58:20 - mmengine - INFO - Epoch(train) [70][340/940] lr: 1.0000e-03 eta: 6:10:24 time: 0.8731 data_time: 0.2057 memory: 13619 grad_norm: 4.5183 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8401 loss: 0.8401 2022/08/01 13:58:33 - mmengine - INFO - Epoch(train) [70][360/940] lr: 1.0000e-03 eta: 6:10:08 time: 0.6719 data_time: 0.0444 memory: 13619 grad_norm: 4.3797 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8724 loss: 0.8724 2022/08/01 13:58:50 - mmengine - INFO - Epoch(train) [70][380/940] lr: 1.0000e-03 eta: 6:09:53 time: 0.8379 data_time: 0.1038 memory: 13619 grad_norm: 4.5270 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9004 loss: 0.9004 2022/08/01 13:59:04 - mmengine - INFO - Epoch(train) [70][400/940] lr: 1.0000e-03 eta: 6:09:37 time: 0.6849 data_time: 0.0459 memory: 13619 grad_norm: 4.5922 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9683 loss: 0.9683 2022/08/01 13:59:20 - mmengine - INFO - Epoch(train) [70][420/940] lr: 1.0000e-03 eta: 6:09:22 time: 0.8000 data_time: 0.0400 memory: 13619 grad_norm: 4.5170 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0662 loss: 1.0662 2022/08/01 13:59:34 - mmengine - INFO - Epoch(train) [70][440/940] lr: 1.0000e-03 eta: 6:09:06 time: 0.6879 data_time: 0.0989 memory: 13619 grad_norm: 4.5307 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8913 loss: 0.8913 2022/08/01 13:59:51 - mmengine - INFO - Epoch(train) [70][460/940] lr: 1.0000e-03 eta: 6:08:51 time: 0.8573 data_time: 0.0410 memory: 13619 grad_norm: 4.4859 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9807 loss: 0.9807 2022/08/01 14:00:04 - mmengine - INFO - Epoch(train) [70][480/940] lr: 1.0000e-03 eta: 6:08:34 time: 0.6435 data_time: 0.0402 memory: 13619 grad_norm: 4.4924 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9361 loss: 0.9361 2022/08/01 14:00:21 - mmengine - INFO - Epoch(train) [70][500/940] lr: 1.0000e-03 eta: 6:08:20 time: 0.8614 data_time: 0.0442 memory: 13619 grad_norm: 4.5167 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9285 loss: 0.9285 2022/08/01 14:00:35 - mmengine - INFO - Epoch(train) [70][520/940] lr: 1.0000e-03 eta: 6:08:04 time: 0.6941 data_time: 0.0544 memory: 13619 grad_norm: 4.4906 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8841 loss: 0.8841 2022/08/01 14:00:51 - mmengine - INFO - Epoch(train) [70][540/940] lr: 1.0000e-03 eta: 6:07:49 time: 0.8235 data_time: 0.1468 memory: 13619 grad_norm: 4.4726 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9211 loss: 0.9211 2022/08/01 14:01:05 - mmengine - INFO - Epoch(train) [70][560/940] lr: 1.0000e-03 eta: 6:07:33 time: 0.7073 data_time: 0.0378 memory: 13619 grad_norm: 4.7536 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9398 loss: 0.9398 2022/08/01 14:01:21 - mmengine - INFO - Epoch(train) [70][580/940] lr: 1.0000e-03 eta: 6:07:17 time: 0.7785 data_time: 0.0388 memory: 13619 grad_norm: 4.3869 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8446 loss: 0.8446 2022/08/01 14:01:37 - mmengine - INFO - Epoch(train) [70][600/940] lr: 1.0000e-03 eta: 6:07:02 time: 0.8129 data_time: 0.0353 memory: 13619 grad_norm: 4.6227 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9104 loss: 0.9104 2022/08/01 14:01:52 - mmengine - INFO - Epoch(train) [70][620/940] lr: 1.0000e-03 eta: 6:06:47 time: 0.7482 data_time: 0.2107 memory: 13619 grad_norm: 4.5755 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8710 loss: 0.8710 2022/08/01 14:02:07 - mmengine - INFO - Epoch(train) [70][640/940] lr: 1.0000e-03 eta: 6:06:31 time: 0.7222 data_time: 0.2204 memory: 13619 grad_norm: 4.4089 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9044 loss: 0.9044 2022/08/01 14:02:22 - mmengine - INFO - Epoch(train) [70][660/940] lr: 1.0000e-03 eta: 6:06:15 time: 0.7861 data_time: 0.2367 memory: 13619 grad_norm: 4.4648 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8780 loss: 0.8780 2022/08/01 14:02:38 - mmengine - INFO - Epoch(train) [70][680/940] lr: 1.0000e-03 eta: 6:06:00 time: 0.8065 data_time: 0.1915 memory: 13619 grad_norm: 4.4404 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8799 loss: 0.8799 2022/08/01 14:02:52 - mmengine - INFO - Epoch(train) [70][700/940] lr: 1.0000e-03 eta: 6:05:44 time: 0.6898 data_time: 0.0525 memory: 13619 grad_norm: 4.5832 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8845 loss: 0.8845 2022/08/01 14:03:10 - mmengine - INFO - Epoch(train) [70][720/940] lr: 1.0000e-03 eta: 6:05:30 time: 0.8799 data_time: 0.0369 memory: 13619 grad_norm: 4.6679 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9525 loss: 0.9525 2022/08/01 14:03:24 - mmengine - INFO - Epoch(train) [70][740/940] lr: 1.0000e-03 eta: 6:05:14 time: 0.7012 data_time: 0.0393 memory: 13619 grad_norm: 4.6256 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9386 loss: 0.9386 2022/08/01 14:03:40 - mmengine - INFO - Epoch(train) [70][760/940] lr: 1.0000e-03 eta: 6:04:59 time: 0.8151 data_time: 0.0342 memory: 13619 grad_norm: 4.5791 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8170 loss: 0.8170 2022/08/01 14:03:54 - mmengine - INFO - Epoch(train) [70][780/940] lr: 1.0000e-03 eta: 6:04:42 time: 0.6715 data_time: 0.1470 memory: 13619 grad_norm: 4.5979 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0780 loss: 1.0780 2022/08/01 14:04:10 - mmengine - INFO - Epoch(train) [70][800/940] lr: 1.0000e-03 eta: 6:04:27 time: 0.8201 data_time: 0.0801 memory: 13619 grad_norm: 4.6786 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9730 loss: 0.9730 2022/08/01 14:04:24 - mmengine - INFO - Epoch(train) [70][820/940] lr: 1.0000e-03 eta: 6:04:11 time: 0.6789 data_time: 0.0378 memory: 13619 grad_norm: 4.5031 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7988 loss: 0.7988 2022/08/01 14:04:41 - mmengine - INFO - Epoch(train) [70][840/940] lr: 1.0000e-03 eta: 6:03:56 time: 0.8583 data_time: 0.0526 memory: 13619 grad_norm: 4.4588 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8230 loss: 0.8230 2022/08/01 14:04:54 - mmengine - INFO - Epoch(train) [70][860/940] lr: 1.0000e-03 eta: 6:03:40 time: 0.6660 data_time: 0.0940 memory: 13619 grad_norm: 4.5728 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9730 loss: 0.9730 2022/08/01 14:05:11 - mmengine - INFO - Epoch(train) [70][880/940] lr: 1.0000e-03 eta: 6:03:25 time: 0.8478 data_time: 0.0373 memory: 13619 grad_norm: 4.6436 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9395 loss: 0.9395 2022/08/01 14:05:25 - mmengine - INFO - Epoch(train) [70][900/940] lr: 1.0000e-03 eta: 6:03:09 time: 0.7104 data_time: 0.0398 memory: 13619 grad_norm: 4.4593 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9558 loss: 0.9558 2022/08/01 14:05:42 - mmengine - INFO - Epoch(train) [70][920/940] lr: 1.0000e-03 eta: 6:02:54 time: 0.8200 data_time: 0.0390 memory: 13619 grad_norm: 4.5351 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9026 loss: 0.9026 2022/08/01 14:05:54 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 14:05:54 - mmengine - INFO - Epoch(train) [70][940/940] lr: 1.0000e-03 eta: 6:02:37 time: 0.6074 data_time: 0.0423 memory: 13619 grad_norm: 4.7821 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8366 loss: 0.8366 2022/08/01 14:06:11 - mmengine - INFO - Epoch(val) [70][20/78] eta: 0:00:49 time: 0.8524 data_time: 0.7583 memory: 2186 2022/08/01 14:06:23 - mmengine - INFO - Epoch(val) [70][40/78] eta: 0:00:23 time: 0.6103 data_time: 0.5100 memory: 2186 2022/08/01 14:06:40 - mmengine - INFO - Epoch(val) [70][60/78] eta: 0:00:14 time: 0.8147 data_time: 0.7140 memory: 2186 2022/08/01 14:06:52 - mmengine - INFO - Epoch(val) [70][78/78] acc/top1: 0.7056 acc/top5: 0.8950 acc/mean1: 0.7055 2022/08/01 14:07:13 - mmengine - INFO - Epoch(train) [71][20/940] lr: 1.0000e-03 eta: 6:02:24 time: 1.0325 data_time: 0.7029 memory: 13619 grad_norm: 4.6190 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.8159 loss: 0.8159 2022/08/01 14:07:27 - mmengine - INFO - Epoch(train) [71][40/940] lr: 1.0000e-03 eta: 6:02:08 time: 0.6859 data_time: 0.3194 memory: 13619 grad_norm: 4.6884 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9201 loss: 0.9201 2022/08/01 14:07:44 - mmengine - INFO - Epoch(train) [71][60/940] lr: 1.0000e-03 eta: 6:01:53 time: 0.8639 data_time: 0.3845 memory: 13619 grad_norm: 4.4888 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.9189 loss: 0.9189 2022/08/01 14:07:58 - mmengine - INFO - Epoch(train) [71][80/940] lr: 1.0000e-03 eta: 6:01:37 time: 0.6977 data_time: 0.4078 memory: 13619 grad_norm: 4.5391 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9764 loss: 0.9764 2022/08/01 14:08:15 - mmengine - INFO - Epoch(train) [71][100/940] lr: 1.0000e-03 eta: 6:01:22 time: 0.8255 data_time: 0.5091 memory: 13619 grad_norm: 4.4609 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8272 loss: 0.8272 2022/08/01 14:08:28 - mmengine - INFO - Epoch(train) [71][120/940] lr: 1.0000e-03 eta: 6:01:06 time: 0.6920 data_time: 0.3867 memory: 13619 grad_norm: 4.5467 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9225 loss: 0.9225 2022/08/01 14:08:45 - mmengine - INFO - Epoch(train) [71][140/940] lr: 1.0000e-03 eta: 6:00:51 time: 0.8450 data_time: 0.5096 memory: 13619 grad_norm: 4.4331 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8685 loss: 0.8685 2022/08/01 14:08:59 - mmengine - INFO - Epoch(train) [71][160/940] lr: 1.0000e-03 eta: 6:00:35 time: 0.6658 data_time: 0.3044 memory: 13619 grad_norm: 4.5699 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9469 loss: 0.9469 2022/08/01 14:09:15 - mmengine - INFO - Epoch(train) [71][180/940] lr: 1.0000e-03 eta: 6:00:20 time: 0.8343 data_time: 0.3594 memory: 13619 grad_norm: 4.6425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9793 loss: 0.9793 2022/08/01 14:09:30 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 14:09:30 - mmengine - INFO - Epoch(train) [71][200/940] lr: 1.0000e-03 eta: 6:00:05 time: 0.7472 data_time: 0.1370 memory: 13619 grad_norm: 4.5180 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8385 loss: 0.8385 2022/08/01 14:09:47 - mmengine - INFO - Epoch(train) [71][220/940] lr: 1.0000e-03 eta: 5:59:50 time: 0.8344 data_time: 0.2850 memory: 13619 grad_norm: 4.6270 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8783 loss: 0.8783 2022/08/01 14:10:01 - mmengine - INFO - Epoch(train) [71][240/940] lr: 1.0000e-03 eta: 5:59:33 time: 0.6798 data_time: 0.1811 memory: 13619 grad_norm: 4.5702 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8733 loss: 0.8733 2022/08/01 14:10:18 - mmengine - INFO - Epoch(train) [71][260/940] lr: 1.0000e-03 eta: 5:59:19 time: 0.8546 data_time: 0.3257 memory: 13619 grad_norm: 4.4476 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7996 loss: 0.7996 2022/08/01 14:10:33 - mmengine - INFO - Epoch(train) [71][280/940] lr: 1.0000e-03 eta: 5:59:03 time: 0.7488 data_time: 0.1914 memory: 13619 grad_norm: 4.5782 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9811 loss: 0.9811 2022/08/01 14:10:49 - mmengine - INFO - Epoch(train) [71][300/940] lr: 1.0000e-03 eta: 5:58:48 time: 0.7953 data_time: 0.1145 memory: 13619 grad_norm: 4.5990 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8423 loss: 0.8423 2022/08/01 14:11:02 - mmengine - INFO - Epoch(train) [71][320/940] lr: 1.0000e-03 eta: 5:58:32 time: 0.6779 data_time: 0.1574 memory: 13619 grad_norm: 4.5624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9336 loss: 0.9336 2022/08/01 14:11:19 - mmengine - INFO - Epoch(train) [71][340/940] lr: 1.0000e-03 eta: 5:58:17 time: 0.8469 data_time: 0.1272 memory: 13619 grad_norm: 4.6217 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8798 loss: 0.8798 2022/08/01 14:11:33 - mmengine - INFO - Epoch(train) [71][360/940] lr: 1.0000e-03 eta: 5:58:01 time: 0.6923 data_time: 0.1409 memory: 13619 grad_norm: 4.4719 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7677 loss: 0.7677 2022/08/01 14:11:49 - mmengine - INFO - Epoch(train) [71][380/940] lr: 1.0000e-03 eta: 5:57:46 time: 0.8152 data_time: 0.1953 memory: 13619 grad_norm: 4.6600 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8367 loss: 0.8367 2022/08/01 14:12:03 - mmengine - INFO - Epoch(train) [71][400/940] lr: 1.0000e-03 eta: 5:57:30 time: 0.6997 data_time: 0.1863 memory: 13619 grad_norm: 4.5963 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9396 loss: 0.9396 2022/08/01 14:12:19 - mmengine - INFO - Epoch(train) [71][420/940] lr: 1.0000e-03 eta: 5:57:14 time: 0.7795 data_time: 0.2864 memory: 13619 grad_norm: 4.5027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9984 loss: 0.9984 2022/08/01 14:12:32 - mmengine - INFO - Epoch(train) [71][440/940] lr: 1.0000e-03 eta: 5:56:58 time: 0.6699 data_time: 0.3039 memory: 13619 grad_norm: 4.6024 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8998 loss: 0.8998 2022/08/01 14:12:50 - mmengine - INFO - Epoch(train) [71][460/940] lr: 1.0000e-03 eta: 5:56:44 time: 0.8904 data_time: 0.3541 memory: 13619 grad_norm: 4.5696 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9231 loss: 0.9231 2022/08/01 14:13:03 - mmengine - INFO - Epoch(train) [71][480/940] lr: 1.0000e-03 eta: 5:56:27 time: 0.6463 data_time: 0.0908 memory: 13619 grad_norm: 4.5933 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9943 loss: 0.9943 2022/08/01 14:13:20 - mmengine - INFO - Epoch(train) [71][500/940] lr: 1.0000e-03 eta: 5:56:12 time: 0.8605 data_time: 0.0486 memory: 13619 grad_norm: 4.5439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9033 loss: 0.9033 2022/08/01 14:13:34 - mmengine - INFO - Epoch(train) [71][520/940] lr: 1.0000e-03 eta: 5:55:56 time: 0.6920 data_time: 0.0434 memory: 13619 grad_norm: 4.5027 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9041 loss: 0.9041 2022/08/01 14:13:52 - mmengine - INFO - Epoch(train) [71][540/940] lr: 1.0000e-03 eta: 5:55:42 time: 0.9037 data_time: 0.0425 memory: 13619 grad_norm: 4.4522 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8884 loss: 0.8884 2022/08/01 14:14:05 - mmengine - INFO - Epoch(train) [71][560/940] lr: 1.0000e-03 eta: 5:55:26 time: 0.6592 data_time: 0.0394 memory: 13619 grad_norm: 4.6569 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9452 loss: 0.9452 2022/08/01 14:14:23 - mmengine - INFO - Epoch(train) [71][580/940] lr: 1.0000e-03 eta: 5:55:11 time: 0.8714 data_time: 0.0415 memory: 13619 grad_norm: 4.5525 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9298 loss: 0.9298 2022/08/01 14:14:36 - mmengine - INFO - Epoch(train) [71][600/940] lr: 1.0000e-03 eta: 5:54:55 time: 0.6743 data_time: 0.0495 memory: 13619 grad_norm: 4.5424 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9394 loss: 0.9394 2022/08/01 14:14:51 - mmengine - INFO - Epoch(train) [71][620/940] lr: 1.0000e-03 eta: 5:54:39 time: 0.7481 data_time: 0.0370 memory: 13619 grad_norm: 4.6189 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8543 loss: 0.8543 2022/08/01 14:15:08 - mmengine - INFO - Epoch(train) [71][640/940] lr: 1.0000e-03 eta: 5:54:24 time: 0.8600 data_time: 0.0363 memory: 13619 grad_norm: 4.6000 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8887 loss: 0.8887 2022/08/01 14:15:22 - mmengine - INFO - Epoch(train) [71][660/940] lr: 1.0000e-03 eta: 5:54:08 time: 0.6828 data_time: 0.0357 memory: 13619 grad_norm: 4.5921 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0519 loss: 1.0519 2022/08/01 14:15:38 - mmengine - INFO - Epoch(train) [71][680/940] lr: 1.0000e-03 eta: 5:53:53 time: 0.8012 data_time: 0.0426 memory: 13619 grad_norm: 4.4969 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9802 loss: 0.9802 2022/08/01 14:15:52 - mmengine - INFO - Epoch(train) [71][700/940] lr: 1.0000e-03 eta: 5:53:37 time: 0.7140 data_time: 0.0575 memory: 13619 grad_norm: 4.4985 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8525 loss: 0.8525 2022/08/01 14:16:09 - mmengine - INFO - Epoch(train) [71][720/940] lr: 1.0000e-03 eta: 5:53:22 time: 0.8027 data_time: 0.0379 memory: 13619 grad_norm: 4.5558 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9214 loss: 0.9214 2022/08/01 14:16:24 - mmengine - INFO - Epoch(train) [71][740/940] lr: 1.0000e-03 eta: 5:53:07 time: 0.7973 data_time: 0.0362 memory: 13619 grad_norm: 4.5918 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9568 loss: 0.9568 2022/08/01 14:16:39 - mmengine - INFO - Epoch(train) [71][760/940] lr: 1.0000e-03 eta: 5:52:51 time: 0.7294 data_time: 0.0395 memory: 13619 grad_norm: 4.5670 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9521 loss: 0.9521 2022/08/01 14:16:55 - mmengine - INFO - Epoch(train) [71][780/940] lr: 1.0000e-03 eta: 5:52:36 time: 0.8112 data_time: 0.0393 memory: 13619 grad_norm: 4.7061 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9665 loss: 0.9665 2022/08/01 14:17:10 - mmengine - INFO - Epoch(train) [71][800/940] lr: 1.0000e-03 eta: 5:52:20 time: 0.7192 data_time: 0.0426 memory: 13619 grad_norm: 4.5313 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9284 loss: 0.9284 2022/08/01 14:17:26 - mmengine - INFO - Epoch(train) [71][820/940] lr: 1.0000e-03 eta: 5:52:05 time: 0.8317 data_time: 0.0351 memory: 13619 grad_norm: 4.4636 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9340 loss: 0.9340 2022/08/01 14:17:40 - mmengine - INFO - Epoch(train) [71][840/940] lr: 1.0000e-03 eta: 5:51:49 time: 0.7025 data_time: 0.0402 memory: 13619 grad_norm: 4.5376 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/08/01 14:17:56 - mmengine - INFO - Epoch(train) [71][860/940] lr: 1.0000e-03 eta: 5:51:34 time: 0.7753 data_time: 0.0391 memory: 13619 grad_norm: 4.6195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9398 loss: 0.9398 2022/08/01 14:18:10 - mmengine - INFO - Epoch(train) [71][880/940] lr: 1.0000e-03 eta: 5:51:18 time: 0.6940 data_time: 0.0472 memory: 13619 grad_norm: 4.5832 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9467 loss: 0.9467 2022/08/01 14:18:26 - mmengine - INFO - Epoch(train) [71][900/940] lr: 1.0000e-03 eta: 5:51:02 time: 0.7977 data_time: 0.0319 memory: 13619 grad_norm: 4.5146 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8282 loss: 0.8282 2022/08/01 14:18:41 - mmengine - INFO - Epoch(train) [71][920/940] lr: 1.0000e-03 eta: 5:50:47 time: 0.7431 data_time: 0.0383 memory: 13619 grad_norm: 4.3690 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9392 loss: 0.9392 2022/08/01 14:18:54 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 14:18:54 - mmengine - INFO - Epoch(train) [71][940/940] lr: 1.0000e-03 eta: 5:50:31 time: 0.6754 data_time: 0.0312 memory: 13619 grad_norm: 4.8696 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9802 loss: 0.9802 2022/08/01 14:19:12 - mmengine - INFO - Epoch(val) [71][20/78] eta: 0:00:51 time: 0.8798 data_time: 0.7849 memory: 2186 2022/08/01 14:19:24 - mmengine - INFO - Epoch(val) [71][40/78] eta: 0:00:23 time: 0.6155 data_time: 0.5231 memory: 2186 2022/08/01 14:19:40 - mmengine - INFO - Epoch(val) [71][60/78] eta: 0:00:14 time: 0.8036 data_time: 0.6991 memory: 2186 2022/08/01 14:19:53 - mmengine - INFO - Epoch(val) [71][78/78] acc/top1: 0.7053 acc/top5: 0.8929 acc/mean1: 0.7052 2022/08/01 14:20:13 - mmengine - INFO - Epoch(train) [72][20/940] lr: 1.0000e-03 eta: 5:50:17 time: 0.9863 data_time: 0.4414 memory: 13619 grad_norm: 4.4227 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9180 loss: 0.9180 2022/08/01 14:20:27 - mmengine - INFO - Epoch(train) [72][40/940] lr: 1.0000e-03 eta: 5:50:01 time: 0.7118 data_time: 0.1118 memory: 13619 grad_norm: 4.5601 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9303 loss: 0.9303 2022/08/01 14:20:44 - mmengine - INFO - Epoch(train) [72][60/940] lr: 1.0000e-03 eta: 5:49:46 time: 0.8477 data_time: 0.1775 memory: 13619 grad_norm: 4.6214 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9222 loss: 0.9222 2022/08/01 14:20:58 - mmengine - INFO - Epoch(train) [72][80/940] lr: 1.0000e-03 eta: 5:49:30 time: 0.6960 data_time: 0.0964 memory: 13619 grad_norm: 4.4780 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8041 loss: 0.8041 2022/08/01 14:21:15 - mmengine - INFO - Epoch(train) [72][100/940] lr: 1.0000e-03 eta: 5:49:15 time: 0.8653 data_time: 0.0495 memory: 13619 grad_norm: 4.6409 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8313 loss: 0.8313 2022/08/01 14:21:29 - mmengine - INFO - Epoch(train) [72][120/940] lr: 1.0000e-03 eta: 5:48:59 time: 0.6795 data_time: 0.0681 memory: 13619 grad_norm: 4.4687 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8452 loss: 0.8452 2022/08/01 14:21:47 - mmengine - INFO - Epoch(train) [72][140/940] lr: 1.0000e-03 eta: 5:48:45 time: 0.8966 data_time: 0.1597 memory: 13619 grad_norm: 4.4170 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9194 loss: 0.9194 2022/08/01 14:22:01 - mmengine - INFO - Epoch(train) [72][160/940] lr: 1.0000e-03 eta: 5:48:29 time: 0.7166 data_time: 0.0414 memory: 13619 grad_norm: 4.6444 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8541 loss: 0.8541 2022/08/01 14:22:18 - mmengine - INFO - Epoch(train) [72][180/940] lr: 1.0000e-03 eta: 5:48:14 time: 0.8520 data_time: 0.0399 memory: 13619 grad_norm: 4.5746 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8314 loss: 0.8314 2022/08/01 14:22:32 - mmengine - INFO - Epoch(train) [72][200/940] lr: 1.0000e-03 eta: 5:47:58 time: 0.7192 data_time: 0.0307 memory: 13619 grad_norm: 4.5153 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8505 loss: 0.8505 2022/08/01 14:22:50 - mmengine - INFO - Epoch(train) [72][220/940] lr: 1.0000e-03 eta: 5:47:44 time: 0.8671 data_time: 0.0367 memory: 13619 grad_norm: 4.6489 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9592 loss: 0.9592 2022/08/01 14:23:03 - mmengine - INFO - Epoch(train) [72][240/940] lr: 1.0000e-03 eta: 5:47:27 time: 0.6666 data_time: 0.0369 memory: 13619 grad_norm: 4.6192 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8855 loss: 0.8855 2022/08/01 14:23:19 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 14:23:19 - mmengine - INFO - Epoch(train) [72][260/940] lr: 1.0000e-03 eta: 5:47:12 time: 0.7959 data_time: 0.0427 memory: 13619 grad_norm: 4.5820 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8327 loss: 0.8327 2022/08/01 14:23:32 - mmengine - INFO - Epoch(train) [72][280/940] lr: 1.0000e-03 eta: 5:46:56 time: 0.6385 data_time: 0.0377 memory: 13619 grad_norm: 4.5582 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8700 loss: 0.8700 2022/08/01 14:23:49 - mmengine - INFO - Epoch(train) [72][300/940] lr: 1.0000e-03 eta: 5:46:41 time: 0.8704 data_time: 0.0394 memory: 13619 grad_norm: 4.6694 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0182 loss: 1.0182 2022/08/01 14:24:02 - mmengine - INFO - Epoch(train) [72][320/940] lr: 1.0000e-03 eta: 5:46:24 time: 0.6325 data_time: 0.0471 memory: 13619 grad_norm: 4.7175 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0060 loss: 1.0060 2022/08/01 14:24:18 - mmengine - INFO - Epoch(train) [72][340/940] lr: 1.0000e-03 eta: 5:46:09 time: 0.8170 data_time: 0.0663 memory: 13619 grad_norm: 4.6314 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9801 loss: 0.9801 2022/08/01 14:24:33 - mmengine - INFO - Epoch(train) [72][360/940] lr: 1.0000e-03 eta: 5:45:54 time: 0.7565 data_time: 0.2371 memory: 13619 grad_norm: 4.5059 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9105 loss: 0.9105 2022/08/01 14:24:48 - mmengine - INFO - Epoch(train) [72][380/940] lr: 1.0000e-03 eta: 5:45:38 time: 0.7258 data_time: 0.2275 memory: 13619 grad_norm: 4.4700 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8125 loss: 0.8125 2022/08/01 14:25:04 - mmengine - INFO - Epoch(train) [72][400/940] lr: 1.0000e-03 eta: 5:45:23 time: 0.7953 data_time: 0.2912 memory: 13619 grad_norm: 4.5068 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9234 loss: 0.9234 2022/08/01 14:25:20 - mmengine - INFO - Epoch(train) [72][420/940] lr: 1.0000e-03 eta: 5:45:08 time: 0.8057 data_time: 0.1532 memory: 13619 grad_norm: 4.5092 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9531 loss: 0.9531 2022/08/01 14:25:35 - mmengine - INFO - Epoch(train) [72][440/940] lr: 1.0000e-03 eta: 5:44:52 time: 0.7510 data_time: 0.0894 memory: 13619 grad_norm: 4.5523 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9565 loss: 0.9565 2022/08/01 14:25:50 - mmengine - INFO - Epoch(train) [72][460/940] lr: 1.0000e-03 eta: 5:44:36 time: 0.7577 data_time: 0.0507 memory: 13619 grad_norm: 4.4267 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9147 loss: 0.9147 2022/08/01 14:26:04 - mmengine - INFO - Epoch(train) [72][480/940] lr: 1.0000e-03 eta: 5:44:21 time: 0.7104 data_time: 0.0942 memory: 13619 grad_norm: 4.6763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9571 loss: 0.9571 2022/08/01 14:26:21 - mmengine - INFO - Epoch(train) [72][500/940] lr: 1.0000e-03 eta: 5:44:06 time: 0.8211 data_time: 0.0403 memory: 13619 grad_norm: 4.5634 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9269 loss: 0.9269 2022/08/01 14:26:36 - mmengine - INFO - Epoch(train) [72][520/940] lr: 1.0000e-03 eta: 5:43:50 time: 0.7590 data_time: 0.1210 memory: 13619 grad_norm: 4.5968 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0632 loss: 1.0632 2022/08/01 14:26:52 - mmengine - INFO - Epoch(train) [72][540/940] lr: 1.0000e-03 eta: 5:43:35 time: 0.7905 data_time: 0.0854 memory: 13619 grad_norm: 4.5661 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8530 loss: 0.8530 2022/08/01 14:27:06 - mmengine - INFO - Epoch(train) [72][560/940] lr: 1.0000e-03 eta: 5:43:19 time: 0.7104 data_time: 0.0459 memory: 13619 grad_norm: 4.6653 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0094 loss: 1.0094 2022/08/01 14:27:22 - mmengine - INFO - Epoch(train) [72][580/940] lr: 1.0000e-03 eta: 5:43:04 time: 0.7992 data_time: 0.0588 memory: 13619 grad_norm: 4.5861 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9418 loss: 0.9418 2022/08/01 14:27:36 - mmengine - INFO - Epoch(train) [72][600/940] lr: 1.0000e-03 eta: 5:42:48 time: 0.7246 data_time: 0.0605 memory: 13619 grad_norm: 4.5491 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9372 loss: 0.9372 2022/08/01 14:27:54 - mmengine - INFO - Epoch(train) [72][620/940] lr: 1.0000e-03 eta: 5:42:33 time: 0.8571 data_time: 0.0319 memory: 13619 grad_norm: 4.6272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8957 loss: 0.8957 2022/08/01 14:28:07 - mmengine - INFO - Epoch(train) [72][640/940] lr: 1.0000e-03 eta: 5:42:17 time: 0.6792 data_time: 0.0335 memory: 13619 grad_norm: 4.4095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8307 loss: 0.8307 2022/08/01 14:28:24 - mmengine - INFO - Epoch(train) [72][660/940] lr: 1.0000e-03 eta: 5:42:02 time: 0.8577 data_time: 0.0393 memory: 13619 grad_norm: 4.6743 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9779 loss: 0.9779 2022/08/01 14:28:38 - mmengine - INFO - Epoch(train) [72][680/940] lr: 1.0000e-03 eta: 5:41:46 time: 0.6691 data_time: 0.0369 memory: 13619 grad_norm: 4.5729 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8443 loss: 0.8443 2022/08/01 14:28:55 - mmengine - INFO - Epoch(train) [72][700/940] lr: 1.0000e-03 eta: 5:41:31 time: 0.8759 data_time: 0.0368 memory: 13619 grad_norm: 4.6318 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8398 loss: 0.8398 2022/08/01 14:29:08 - mmengine - INFO - Epoch(train) [72][720/940] lr: 1.0000e-03 eta: 5:41:15 time: 0.6381 data_time: 0.0440 memory: 13619 grad_norm: 4.6676 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9439 loss: 0.9439 2022/08/01 14:29:26 - mmengine - INFO - Epoch(train) [72][740/940] lr: 1.0000e-03 eta: 5:41:00 time: 0.9030 data_time: 0.0375 memory: 13619 grad_norm: 4.6843 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9092 loss: 0.9092 2022/08/01 14:29:40 - mmengine - INFO - Epoch(train) [72][760/940] lr: 1.0000e-03 eta: 5:40:44 time: 0.6791 data_time: 0.0376 memory: 13619 grad_norm: 4.6138 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8635 loss: 0.8635 2022/08/01 14:29:56 - mmengine - INFO - Epoch(train) [72][780/940] lr: 1.0000e-03 eta: 5:40:29 time: 0.8052 data_time: 0.0381 memory: 13619 grad_norm: 4.6036 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9315 loss: 0.9315 2022/08/01 14:30:10 - mmengine - INFO - Epoch(train) [72][800/940] lr: 1.0000e-03 eta: 5:40:13 time: 0.7187 data_time: 0.0370 memory: 13619 grad_norm: 4.5846 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9372 loss: 0.9372 2022/08/01 14:30:26 - mmengine - INFO - Epoch(train) [72][820/940] lr: 1.0000e-03 eta: 5:39:58 time: 0.7915 data_time: 0.0470 memory: 13619 grad_norm: 4.5268 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7742 loss: 0.7742 2022/08/01 14:30:41 - mmengine - INFO - Epoch(train) [72][840/940] lr: 1.0000e-03 eta: 5:39:43 time: 0.7668 data_time: 0.0386 memory: 13619 grad_norm: 4.6867 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9055 loss: 0.9055 2022/08/01 14:30:56 - mmengine - INFO - Epoch(train) [72][860/940] lr: 1.0000e-03 eta: 5:39:27 time: 0.7121 data_time: 0.0365 memory: 13619 grad_norm: 4.6222 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8866 loss: 0.8866 2022/08/01 14:31:11 - mmengine - INFO - Epoch(train) [72][880/940] lr: 1.0000e-03 eta: 5:39:11 time: 0.7459 data_time: 0.0349 memory: 13619 grad_norm: 4.5183 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9839 loss: 0.9839 2022/08/01 14:31:26 - mmengine - INFO - Epoch(train) [72][900/940] lr: 1.0000e-03 eta: 5:38:56 time: 0.7845 data_time: 0.0375 memory: 13619 grad_norm: 4.7193 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0414 loss: 1.0414 2022/08/01 14:31:41 - mmengine - INFO - Epoch(train) [72][920/940] lr: 1.0000e-03 eta: 5:38:40 time: 0.7158 data_time: 0.0613 memory: 13619 grad_norm: 4.5837 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9890 loss: 0.9890 2022/08/01 14:31:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 14:31:55 - mmengine - INFO - Epoch(train) [72][940/940] lr: 1.0000e-03 eta: 5:38:24 time: 0.7193 data_time: 0.0293 memory: 13619 grad_norm: 4.8688 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9881 loss: 0.9881 2022/08/01 14:31:55 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/01 14:32:14 - mmengine - INFO - Epoch(val) [72][20/78] eta: 0:00:50 time: 0.8694 data_time: 0.7781 memory: 2186 2022/08/01 14:32:26 - mmengine - INFO - Epoch(val) [72][40/78] eta: 0:00:22 time: 0.6000 data_time: 0.5084 memory: 2186 2022/08/01 14:32:43 - mmengine - INFO - Epoch(val) [72][60/78] eta: 0:00:14 time: 0.8095 data_time: 0.7167 memory: 2186 2022/08/01 14:32:55 - mmengine - INFO - Epoch(val) [72][78/78] acc/top1: 0.7037 acc/top5: 0.8912 acc/mean1: 0.7036 2022/08/01 14:33:16 - mmengine - INFO - Epoch(train) [73][20/940] lr: 1.0000e-03 eta: 5:38:10 time: 0.9961 data_time: 0.5787 memory: 13619 grad_norm: 4.4833 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8682 loss: 0.8682 2022/08/01 14:33:28 - mmengine - INFO - Epoch(train) [73][40/940] lr: 1.0000e-03 eta: 5:37:54 time: 0.6379 data_time: 0.2928 memory: 13619 grad_norm: 4.6388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8904 loss: 0.8904 2022/08/01 14:33:46 - mmengine - INFO - Epoch(train) [73][60/940] lr: 1.0000e-03 eta: 5:37:39 time: 0.8685 data_time: 0.4899 memory: 13619 grad_norm: 4.5978 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9105 loss: 0.9105 2022/08/01 14:33:59 - mmengine - INFO - Epoch(train) [73][80/940] lr: 1.0000e-03 eta: 5:37:23 time: 0.6764 data_time: 0.3032 memory: 13619 grad_norm: 4.5991 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9515 loss: 0.9515 2022/08/01 14:34:16 - mmengine - INFO - Epoch(train) [73][100/940] lr: 1.0000e-03 eta: 5:37:08 time: 0.8477 data_time: 0.4906 memory: 13619 grad_norm: 4.6091 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8380 loss: 0.8380 2022/08/01 14:34:30 - mmengine - INFO - Epoch(train) [73][120/940] lr: 1.0000e-03 eta: 5:36:52 time: 0.6875 data_time: 0.2520 memory: 13619 grad_norm: 4.4444 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7897 loss: 0.7897 2022/08/01 14:34:47 - mmengine - INFO - Epoch(train) [73][140/940] lr: 1.0000e-03 eta: 5:36:37 time: 0.8448 data_time: 0.2208 memory: 13619 grad_norm: 4.5196 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8569 loss: 0.8569 2022/08/01 14:35:01 - mmengine - INFO - Epoch(train) [73][160/940] lr: 1.0000e-03 eta: 5:36:21 time: 0.7066 data_time: 0.1235 memory: 13619 grad_norm: 4.5858 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8176 loss: 0.8176 2022/08/01 14:35:18 - mmengine - INFO - Epoch(train) [73][180/940] lr: 1.0000e-03 eta: 5:36:06 time: 0.8422 data_time: 0.0380 memory: 13619 grad_norm: 4.5213 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9510 loss: 0.9510 2022/08/01 14:35:31 - mmengine - INFO - Epoch(train) [73][200/940] lr: 1.0000e-03 eta: 5:35:50 time: 0.6678 data_time: 0.0372 memory: 13619 grad_norm: 4.5048 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8626 loss: 0.8626 2022/08/01 14:35:48 - mmengine - INFO - Epoch(train) [73][220/940] lr: 1.0000e-03 eta: 5:35:35 time: 0.8633 data_time: 0.0394 memory: 13619 grad_norm: 4.3914 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8065 loss: 0.8065 2022/08/01 14:36:02 - mmengine - INFO - Epoch(train) [73][240/940] lr: 1.0000e-03 eta: 5:35:19 time: 0.6865 data_time: 0.0356 memory: 13619 grad_norm: 4.5131 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9141 loss: 0.9141 2022/08/01 14:36:19 - mmengine - INFO - Epoch(train) [73][260/940] lr: 1.0000e-03 eta: 5:35:04 time: 0.8283 data_time: 0.0385 memory: 13619 grad_norm: 4.5755 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8984 loss: 0.8984 2022/08/01 14:36:32 - mmengine - INFO - Epoch(train) [73][280/940] lr: 1.0000e-03 eta: 5:34:48 time: 0.6459 data_time: 0.0504 memory: 13619 grad_norm: 4.3706 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8202 loss: 0.8202 2022/08/01 14:36:49 - mmengine - INFO - Epoch(train) [73][300/940] lr: 1.0000e-03 eta: 5:34:33 time: 0.8493 data_time: 0.0375 memory: 13619 grad_norm: 4.6126 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9540 loss: 0.9540 2022/08/01 14:37:04 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 14:37:04 - mmengine - INFO - Epoch(train) [73][320/940] lr: 1.0000e-03 eta: 5:34:18 time: 0.7866 data_time: 0.0356 memory: 13619 grad_norm: 4.5418 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9289 loss: 0.9289 2022/08/01 14:37:19 - mmengine - INFO - Epoch(train) [73][340/940] lr: 1.0000e-03 eta: 5:34:02 time: 0.7315 data_time: 0.0392 memory: 13619 grad_norm: 4.5796 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9928 loss: 0.9928 2022/08/01 14:37:35 - mmengine - INFO - Epoch(train) [73][360/940] lr: 1.0000e-03 eta: 5:33:47 time: 0.7894 data_time: 0.0391 memory: 13619 grad_norm: 4.5988 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9368 loss: 0.9368 2022/08/01 14:37:50 - mmengine - INFO - Epoch(train) [73][380/940] lr: 1.0000e-03 eta: 5:33:31 time: 0.7474 data_time: 0.0435 memory: 13619 grad_norm: 4.5182 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8085 loss: 0.8085 2022/08/01 14:38:06 - mmengine - INFO - Epoch(train) [73][400/940] lr: 1.0000e-03 eta: 5:33:16 time: 0.8106 data_time: 0.0425 memory: 13619 grad_norm: 4.6492 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8826 loss: 0.8826 2022/08/01 14:38:20 - mmengine - INFO - Epoch(train) [73][420/940] lr: 1.0000e-03 eta: 5:33:00 time: 0.6834 data_time: 0.0727 memory: 13619 grad_norm: 4.6292 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9931 loss: 0.9931 2022/08/01 14:38:36 - mmengine - INFO - Epoch(train) [73][440/940] lr: 1.0000e-03 eta: 5:32:45 time: 0.8338 data_time: 0.0376 memory: 13619 grad_norm: 4.4750 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9647 loss: 0.9647 2022/08/01 14:38:51 - mmengine - INFO - Epoch(train) [73][460/940] lr: 1.0000e-03 eta: 5:32:29 time: 0.7262 data_time: 0.0398 memory: 13619 grad_norm: 4.5288 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9578 loss: 0.9578 2022/08/01 14:39:06 - mmengine - INFO - Epoch(train) [73][480/940] lr: 1.0000e-03 eta: 5:32:14 time: 0.7400 data_time: 0.0387 memory: 13619 grad_norm: 4.6693 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9544 loss: 0.9544 2022/08/01 14:39:22 - mmengine - INFO - Epoch(train) [73][500/940] lr: 1.0000e-03 eta: 5:31:58 time: 0.7976 data_time: 0.0391 memory: 13619 grad_norm: 4.5482 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8842 loss: 0.8842 2022/08/01 14:39:36 - mmengine - INFO - Epoch(train) [73][520/940] lr: 1.0000e-03 eta: 5:31:42 time: 0.7104 data_time: 0.0452 memory: 13619 grad_norm: 4.6111 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8834 loss: 0.8834 2022/08/01 14:39:52 - mmengine - INFO - Epoch(train) [73][540/940] lr: 1.0000e-03 eta: 5:31:27 time: 0.8217 data_time: 0.0359 memory: 13619 grad_norm: 4.7478 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8457 loss: 0.8457 2022/08/01 14:40:06 - mmengine - INFO - Epoch(train) [73][560/940] lr: 1.0000e-03 eta: 5:31:11 time: 0.6656 data_time: 0.0431 memory: 13619 grad_norm: 4.7274 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/08/01 14:40:22 - mmengine - INFO - Epoch(train) [73][580/940] lr: 1.0000e-03 eta: 5:30:56 time: 0.8203 data_time: 0.0387 memory: 13619 grad_norm: 4.6178 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8230 loss: 0.8230 2022/08/01 14:40:36 - mmengine - INFO - Epoch(train) [73][600/940] lr: 1.0000e-03 eta: 5:30:40 time: 0.7051 data_time: 0.0344 memory: 13619 grad_norm: 4.5550 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9458 loss: 0.9458 2022/08/01 14:40:52 - mmengine - INFO - Epoch(train) [73][620/940] lr: 1.0000e-03 eta: 5:30:25 time: 0.8161 data_time: 0.0474 memory: 13619 grad_norm: 4.7831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8794 loss: 0.8794 2022/08/01 14:41:08 - mmengine - INFO - Epoch(train) [73][640/940] lr: 1.0000e-03 eta: 5:30:10 time: 0.7665 data_time: 0.0379 memory: 13619 grad_norm: 4.6222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8303 loss: 0.8303 2022/08/01 14:41:22 - mmengine - INFO - Epoch(train) [73][660/940] lr: 1.0000e-03 eta: 5:29:54 time: 0.6965 data_time: 0.0360 memory: 13619 grad_norm: 4.7504 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9280 loss: 0.9280 2022/08/01 14:41:38 - mmengine - INFO - Epoch(train) [73][680/940] lr: 1.0000e-03 eta: 5:29:38 time: 0.8021 data_time: 0.0407 memory: 13619 grad_norm: 4.4275 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8285 loss: 0.8285 2022/08/01 14:41:54 - mmengine - INFO - Epoch(train) [73][700/940] lr: 1.0000e-03 eta: 5:29:23 time: 0.8210 data_time: 0.0380 memory: 13619 grad_norm: 4.7379 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9506 loss: 0.9506 2022/08/01 14:42:09 - mmengine - INFO - Epoch(train) [73][720/940] lr: 1.0000e-03 eta: 5:29:08 time: 0.7446 data_time: 0.0384 memory: 13619 grad_norm: 4.5981 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9011 loss: 0.9011 2022/08/01 14:42:25 - mmengine - INFO - Epoch(train) [73][740/940] lr: 1.0000e-03 eta: 5:28:53 time: 0.8056 data_time: 0.0339 memory: 13619 grad_norm: 4.6347 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/08/01 14:42:41 - mmengine - INFO - Epoch(train) [73][760/940] lr: 1.0000e-03 eta: 5:28:37 time: 0.7829 data_time: 0.0381 memory: 13619 grad_norm: 4.5835 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9541 loss: 0.9541 2022/08/01 14:42:57 - mmengine - INFO - Epoch(train) [73][780/940] lr: 1.0000e-03 eta: 5:28:22 time: 0.7823 data_time: 0.0289 memory: 13619 grad_norm: 4.6522 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8198 loss: 0.8198 2022/08/01 14:43:10 - mmengine - INFO - Epoch(train) [73][800/940] lr: 1.0000e-03 eta: 5:28:06 time: 0.6766 data_time: 0.0480 memory: 13619 grad_norm: 4.6172 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8962 loss: 0.8962 2022/08/01 14:43:26 - mmengine - INFO - Epoch(train) [73][820/940] lr: 1.0000e-03 eta: 5:27:50 time: 0.7935 data_time: 0.0332 memory: 13619 grad_norm: 4.5862 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7933 loss: 0.7933 2022/08/01 14:43:42 - mmengine - INFO - Epoch(train) [73][840/940] lr: 1.0000e-03 eta: 5:27:35 time: 0.7908 data_time: 0.0404 memory: 13619 grad_norm: 4.6099 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8676 loss: 0.8676 2022/08/01 14:43:56 - mmengine - INFO - Epoch(train) [73][860/940] lr: 1.0000e-03 eta: 5:27:19 time: 0.6946 data_time: 0.0365 memory: 13619 grad_norm: 4.6545 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9412 loss: 0.9412 2022/08/01 14:44:12 - mmengine - INFO - Epoch(train) [73][880/940] lr: 1.0000e-03 eta: 5:27:04 time: 0.7963 data_time: 0.0384 memory: 13619 grad_norm: 4.6392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8843 loss: 0.8843 2022/08/01 14:44:26 - mmengine - INFO - Epoch(train) [73][900/940] lr: 1.0000e-03 eta: 5:26:48 time: 0.7142 data_time: 0.0372 memory: 13619 grad_norm: 4.6207 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9349 loss: 0.9349 2022/08/01 14:44:43 - mmengine - INFO - Epoch(train) [73][920/940] lr: 1.0000e-03 eta: 5:26:33 time: 0.8604 data_time: 0.0439 memory: 13619 grad_norm: 4.7523 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8653 loss: 0.8653 2022/08/01 14:44:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 14:44:55 - mmengine - INFO - Epoch(train) [73][940/940] lr: 1.0000e-03 eta: 5:26:17 time: 0.6012 data_time: 0.0297 memory: 13619 grad_norm: 4.8968 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.0822 loss: 1.0822 2022/08/01 14:45:13 - mmengine - INFO - Epoch(val) [73][20/78] eta: 0:00:51 time: 0.8853 data_time: 0.7782 memory: 2186 2022/08/01 14:45:25 - mmengine - INFO - Epoch(val) [73][40/78] eta: 0:00:23 time: 0.6065 data_time: 0.5154 memory: 2186 2022/08/01 14:45:41 - mmengine - INFO - Epoch(val) [73][60/78] eta: 0:00:14 time: 0.8108 data_time: 0.7181 memory: 2186 2022/08/01 14:45:54 - mmengine - INFO - Epoch(val) [73][78/78] acc/top1: 0.7072 acc/top5: 0.8943 acc/mean1: 0.7071 2022/08/01 14:46:13 - mmengine - INFO - Epoch(train) [74][20/940] lr: 1.0000e-03 eta: 5:26:03 time: 0.9798 data_time: 0.6777 memory: 13619 grad_norm: 4.6108 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8631 loss: 0.8631 2022/08/01 14:46:28 - mmengine - INFO - Epoch(train) [74][40/940] lr: 1.0000e-03 eta: 5:25:47 time: 0.7061 data_time: 0.2366 memory: 13619 grad_norm: 4.5137 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8841 loss: 0.8841 2022/08/01 14:46:44 - mmengine - INFO - Epoch(train) [74][60/940] lr: 1.0000e-03 eta: 5:25:32 time: 0.8283 data_time: 0.2371 memory: 13619 grad_norm: 4.6019 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9602 loss: 0.9602 2022/08/01 14:46:57 - mmengine - INFO - Epoch(train) [74][80/940] lr: 1.0000e-03 eta: 5:25:16 time: 0.6601 data_time: 0.1499 memory: 13619 grad_norm: 4.5828 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9167 loss: 0.9167 2022/08/01 14:47:14 - mmengine - INFO - Epoch(train) [74][100/940] lr: 1.0000e-03 eta: 5:25:00 time: 0.8137 data_time: 0.1687 memory: 13619 grad_norm: 4.6579 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9173 loss: 0.9173 2022/08/01 14:47:28 - mmengine - INFO - Epoch(train) [74][120/940] lr: 1.0000e-03 eta: 5:24:45 time: 0.7067 data_time: 0.0547 memory: 13619 grad_norm: 4.6574 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8105 loss: 0.8105 2022/08/01 14:47:45 - mmengine - INFO - Epoch(train) [74][140/940] lr: 1.0000e-03 eta: 5:24:30 time: 0.8466 data_time: 0.0896 memory: 13619 grad_norm: 4.5837 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8967 loss: 0.8967 2022/08/01 14:47:58 - mmengine - INFO - Epoch(train) [74][160/940] lr: 1.0000e-03 eta: 5:24:14 time: 0.6727 data_time: 0.1269 memory: 13619 grad_norm: 4.5086 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8986 loss: 0.8986 2022/08/01 14:48:15 - mmengine - INFO - Epoch(train) [74][180/940] lr: 1.0000e-03 eta: 5:23:59 time: 0.8342 data_time: 0.2251 memory: 13619 grad_norm: 4.6132 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9891 loss: 0.9891 2022/08/01 14:48:29 - mmengine - INFO - Epoch(train) [74][200/940] lr: 1.0000e-03 eta: 5:23:43 time: 0.6977 data_time: 0.1551 memory: 13619 grad_norm: 4.5530 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8231 loss: 0.8231 2022/08/01 14:48:47 - mmengine - INFO - Epoch(train) [74][220/940] lr: 1.0000e-03 eta: 5:23:28 time: 0.9073 data_time: 0.1080 memory: 13619 grad_norm: 4.6252 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7993 loss: 0.7993 2022/08/01 14:49:01 - mmengine - INFO - Epoch(train) [74][240/940] lr: 1.0000e-03 eta: 5:23:12 time: 0.6895 data_time: 0.1057 memory: 13619 grad_norm: 4.6451 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0044 loss: 1.0044 2022/08/01 14:49:18 - mmengine - INFO - Epoch(train) [74][260/940] lr: 1.0000e-03 eta: 5:22:57 time: 0.8542 data_time: 0.2596 memory: 13619 grad_norm: 4.7051 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8693 loss: 0.8693 2022/08/01 14:49:32 - mmengine - INFO - Epoch(train) [74][280/940] lr: 1.0000e-03 eta: 5:22:42 time: 0.7218 data_time: 0.3114 memory: 13619 grad_norm: 4.5129 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9176 loss: 0.9176 2022/08/01 14:49:48 - mmengine - INFO - Epoch(train) [74][300/940] lr: 1.0000e-03 eta: 5:22:26 time: 0.7887 data_time: 0.2568 memory: 13619 grad_norm: 4.5100 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8564 loss: 0.8564 2022/08/01 14:50:02 - mmengine - INFO - Epoch(train) [74][320/940] lr: 1.0000e-03 eta: 5:22:10 time: 0.6770 data_time: 0.1234 memory: 13619 grad_norm: 4.4818 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8702 loss: 0.8702 2022/08/01 14:50:19 - mmengine - INFO - Epoch(train) [74][340/940] lr: 1.0000e-03 eta: 5:21:55 time: 0.8641 data_time: 0.0693 memory: 13619 grad_norm: 4.5350 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8519 loss: 0.8519 2022/08/01 14:50:32 - mmengine - INFO - Epoch(train) [74][360/940] lr: 1.0000e-03 eta: 5:21:39 time: 0.6555 data_time: 0.0605 memory: 13619 grad_norm: 4.6299 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8621 loss: 0.8621 2022/08/01 14:50:50 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 14:50:50 - mmengine - INFO - Epoch(train) [74][380/940] lr: 1.0000e-03 eta: 5:21:24 time: 0.8734 data_time: 0.0549 memory: 13619 grad_norm: 4.6629 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8805 loss: 0.8805 2022/08/01 14:51:03 - mmengine - INFO - Epoch(train) [74][400/940] lr: 1.0000e-03 eta: 5:21:08 time: 0.6722 data_time: 0.0288 memory: 13619 grad_norm: 4.6324 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0186 loss: 1.0186 2022/08/01 14:51:19 - mmengine - INFO - Epoch(train) [74][420/940] lr: 1.0000e-03 eta: 5:20:53 time: 0.8106 data_time: 0.0575 memory: 13619 grad_norm: 4.6862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8797 loss: 0.8797 2022/08/01 14:51:33 - mmengine - INFO - Epoch(train) [74][440/940] lr: 1.0000e-03 eta: 5:20:37 time: 0.6734 data_time: 0.1078 memory: 13619 grad_norm: 4.5080 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8814 loss: 0.8814 2022/08/01 14:51:50 - mmengine - INFO - Epoch(train) [74][460/940] lr: 1.0000e-03 eta: 5:20:22 time: 0.8449 data_time: 0.2778 memory: 13619 grad_norm: 4.5160 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7498 loss: 0.7498 2022/08/01 14:52:04 - mmengine - INFO - Epoch(train) [74][480/940] lr: 1.0000e-03 eta: 5:20:06 time: 0.6937 data_time: 0.1408 memory: 13619 grad_norm: 4.5523 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9055 loss: 0.9055 2022/08/01 14:52:20 - mmengine - INFO - Epoch(train) [74][500/940] lr: 1.0000e-03 eta: 5:19:51 time: 0.8310 data_time: 0.3500 memory: 13619 grad_norm: 4.5657 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7896 loss: 0.7896 2022/08/01 14:52:34 - mmengine - INFO - Epoch(train) [74][520/940] lr: 1.0000e-03 eta: 5:19:35 time: 0.6942 data_time: 0.3936 memory: 13619 grad_norm: 4.5677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8263 loss: 0.8263 2022/08/01 14:52:51 - mmengine - INFO - Epoch(train) [74][540/940] lr: 1.0000e-03 eta: 5:19:20 time: 0.8310 data_time: 0.4474 memory: 13619 grad_norm: 4.6352 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7957 loss: 0.7957 2022/08/01 14:53:05 - mmengine - INFO - Epoch(train) [74][560/940] lr: 1.0000e-03 eta: 5:19:04 time: 0.7362 data_time: 0.2413 memory: 13619 grad_norm: 4.5432 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9016 loss: 0.9016 2022/08/01 14:53:21 - mmengine - INFO - Epoch(train) [74][580/940] lr: 1.0000e-03 eta: 5:18:49 time: 0.7940 data_time: 0.2873 memory: 13619 grad_norm: 4.6808 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8257 loss: 0.8257 2022/08/01 14:53:36 - mmengine - INFO - Epoch(train) [74][600/940] lr: 1.0000e-03 eta: 5:18:33 time: 0.7388 data_time: 0.1589 memory: 13619 grad_norm: 4.6044 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9472 loss: 0.9472 2022/08/01 14:53:51 - mmengine - INFO - Epoch(train) [74][620/940] lr: 1.0000e-03 eta: 5:18:18 time: 0.7625 data_time: 0.3251 memory: 13619 grad_norm: 4.5707 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8585 loss: 0.8585 2022/08/01 14:54:07 - mmengine - INFO - Epoch(train) [74][640/940] lr: 1.0000e-03 eta: 5:18:02 time: 0.7593 data_time: 0.1572 memory: 13619 grad_norm: 4.5977 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8882 loss: 0.8882 2022/08/01 14:54:23 - mmengine - INFO - Epoch(train) [74][660/940] lr: 1.0000e-03 eta: 5:17:47 time: 0.8170 data_time: 0.3490 memory: 13619 grad_norm: 4.6451 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8905 loss: 0.8905 2022/08/01 14:54:38 - mmengine - INFO - Epoch(train) [74][680/940] lr: 1.0000e-03 eta: 5:17:32 time: 0.7624 data_time: 0.1984 memory: 13619 grad_norm: 4.6245 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9288 loss: 0.9288 2022/08/01 14:54:53 - mmengine - INFO - Epoch(train) [74][700/940] lr: 1.0000e-03 eta: 5:17:16 time: 0.7379 data_time: 0.1661 memory: 13619 grad_norm: 4.6810 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9521 loss: 0.9521 2022/08/01 14:55:09 - mmengine - INFO - Epoch(train) [74][720/940] lr: 1.0000e-03 eta: 5:17:01 time: 0.8061 data_time: 0.1228 memory: 13619 grad_norm: 4.6831 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9765 loss: 0.9765 2022/08/01 14:55:24 - mmengine - INFO - Epoch(train) [74][740/940] lr: 1.0000e-03 eta: 5:16:46 time: 0.7687 data_time: 0.1751 memory: 13619 grad_norm: 4.5790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9347 loss: 0.9347 2022/08/01 14:55:39 - mmengine - INFO - Epoch(train) [74][760/940] lr: 1.0000e-03 eta: 5:16:30 time: 0.7535 data_time: 0.1667 memory: 13619 grad_norm: 4.6084 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0105 loss: 1.0105 2022/08/01 14:55:56 - mmengine - INFO - Epoch(train) [74][780/940] lr: 1.0000e-03 eta: 5:16:15 time: 0.8188 data_time: 0.4155 memory: 13619 grad_norm: 4.6940 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/08/01 14:56:10 - mmengine - INFO - Epoch(train) [74][800/940] lr: 1.0000e-03 eta: 5:15:59 time: 0.7094 data_time: 0.3658 memory: 13619 grad_norm: 4.4937 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8394 loss: 0.8394 2022/08/01 14:56:26 - mmengine - INFO - Epoch(train) [74][820/940] lr: 1.0000e-03 eta: 5:15:44 time: 0.8048 data_time: 0.4246 memory: 13619 grad_norm: 4.6416 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8639 loss: 0.8639 2022/08/01 14:56:41 - mmengine - INFO - Epoch(train) [74][840/940] lr: 1.0000e-03 eta: 5:15:28 time: 0.7186 data_time: 0.2110 memory: 13619 grad_norm: 4.7023 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9594 loss: 0.9594 2022/08/01 14:56:57 - mmengine - INFO - Epoch(train) [74][860/940] lr: 1.0000e-03 eta: 5:15:13 time: 0.7998 data_time: 0.4544 memory: 13619 grad_norm: 4.5456 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8248 loss: 0.8248 2022/08/01 14:57:10 - mmengine - INFO - Epoch(train) [74][880/940] lr: 1.0000e-03 eta: 5:14:57 time: 0.6780 data_time: 0.3592 memory: 13619 grad_norm: 4.5958 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9076 loss: 0.9076 2022/08/01 14:57:28 - mmengine - INFO - Epoch(train) [74][900/940] lr: 1.0000e-03 eta: 5:14:42 time: 0.9128 data_time: 0.5802 memory: 13619 grad_norm: 4.6480 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8903 loss: 0.8903 2022/08/01 14:57:41 - mmengine - INFO - Epoch(train) [74][920/940] lr: 1.0000e-03 eta: 5:14:26 time: 0.6540 data_time: 0.3221 memory: 13619 grad_norm: 4.6495 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7889 loss: 0.7889 2022/08/01 14:57:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 14:57:55 - mmengine - INFO - Epoch(train) [74][940/940] lr: 1.0000e-03 eta: 5:14:10 time: 0.6995 data_time: 0.4290 memory: 13619 grad_norm: 4.8318 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8049 loss: 0.8049 2022/08/01 14:58:13 - mmengine - INFO - Epoch(val) [74][20/78] eta: 0:00:50 time: 0.8702 data_time: 0.7746 memory: 2186 2022/08/01 14:58:25 - mmengine - INFO - Epoch(val) [74][40/78] eta: 0:00:22 time: 0.5992 data_time: 0.5047 memory: 2186 2022/08/01 14:58:43 - mmengine - INFO - Epoch(val) [74][60/78] eta: 0:00:16 time: 0.9147 data_time: 0.8215 memory: 2186 2022/08/01 14:58:55 - mmengine - INFO - Epoch(val) [74][78/78] acc/top1: 0.7050 acc/top5: 0.8937 acc/mean1: 0.7049 2022/08/01 14:59:15 - mmengine - INFO - Epoch(train) [75][20/940] lr: 1.0000e-03 eta: 5:13:56 time: 0.9899 data_time: 0.4512 memory: 13619 grad_norm: 4.5450 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9047 loss: 0.9047 2022/08/01 14:59:29 - mmengine - INFO - Epoch(train) [75][40/940] lr: 1.0000e-03 eta: 5:13:40 time: 0.7021 data_time: 0.1419 memory: 13619 grad_norm: 4.5485 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8776 loss: 0.8776 2022/08/01 14:59:47 - mmengine - INFO - Epoch(train) [75][60/940] lr: 1.0000e-03 eta: 5:13:26 time: 0.8669 data_time: 0.0799 memory: 13619 grad_norm: 4.5732 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9197 loss: 0.9197 2022/08/01 15:00:00 - mmengine - INFO - Epoch(train) [75][80/940] lr: 1.0000e-03 eta: 5:13:09 time: 0.6706 data_time: 0.0626 memory: 13619 grad_norm: 4.5707 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8938 loss: 0.8938 2022/08/01 15:00:17 - mmengine - INFO - Epoch(train) [75][100/940] lr: 1.0000e-03 eta: 5:12:55 time: 0.8449 data_time: 0.2879 memory: 13619 grad_norm: 4.6168 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8562 loss: 0.8562 2022/08/01 15:00:31 - mmengine - INFO - Epoch(train) [75][120/940] lr: 1.0000e-03 eta: 5:12:39 time: 0.6965 data_time: 0.1714 memory: 13619 grad_norm: 4.6371 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9474 loss: 0.9474 2022/08/01 15:00:48 - mmengine - INFO - Epoch(train) [75][140/940] lr: 1.0000e-03 eta: 5:12:24 time: 0.8655 data_time: 0.1380 memory: 13619 grad_norm: 4.7245 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9530 loss: 0.9530 2022/08/01 15:01:01 - mmengine - INFO - Epoch(train) [75][160/940] lr: 1.0000e-03 eta: 5:12:07 time: 0.6345 data_time: 0.0485 memory: 13619 grad_norm: 4.6500 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8465 loss: 0.8465 2022/08/01 15:01:19 - mmengine - INFO - Epoch(train) [75][180/940] lr: 1.0000e-03 eta: 5:11:53 time: 0.8769 data_time: 0.0415 memory: 13619 grad_norm: 4.5932 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8969 loss: 0.8969 2022/08/01 15:01:32 - mmengine - INFO - Epoch(train) [75][200/940] lr: 1.0000e-03 eta: 5:11:37 time: 0.6750 data_time: 0.0319 memory: 13619 grad_norm: 4.5804 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8347 loss: 0.8347 2022/08/01 15:01:49 - mmengine - INFO - Epoch(train) [75][220/940] lr: 1.0000e-03 eta: 5:11:22 time: 0.8308 data_time: 0.0387 memory: 13619 grad_norm: 4.4418 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7854 loss: 0.7854 2022/08/01 15:02:01 - mmengine - INFO - Epoch(train) [75][240/940] lr: 1.0000e-03 eta: 5:11:05 time: 0.6343 data_time: 0.0302 memory: 13619 grad_norm: 4.6452 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 0.9573 loss: 0.9573 2022/08/01 15:02:19 - mmengine - INFO - Epoch(train) [75][260/940] lr: 1.0000e-03 eta: 5:10:51 time: 0.8763 data_time: 0.0381 memory: 13619 grad_norm: 4.7505 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8861 loss: 0.8861 2022/08/01 15:02:33 - mmengine - INFO - Epoch(train) [75][280/940] lr: 1.0000e-03 eta: 5:10:35 time: 0.6936 data_time: 0.0390 memory: 13619 grad_norm: 4.6277 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9031 loss: 0.9031 2022/08/01 15:02:50 - mmengine - INFO - Epoch(train) [75][300/940] lr: 1.0000e-03 eta: 5:10:20 time: 0.8355 data_time: 0.0392 memory: 13619 grad_norm: 4.6301 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0371 loss: 1.0371 2022/08/01 15:03:03 - mmengine - INFO - Epoch(train) [75][320/940] lr: 1.0000e-03 eta: 5:10:03 time: 0.6483 data_time: 0.0301 memory: 13619 grad_norm: 4.4790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/08/01 15:03:19 - mmengine - INFO - Epoch(train) [75][340/940] lr: 1.0000e-03 eta: 5:09:48 time: 0.8353 data_time: 0.0377 memory: 13619 grad_norm: 4.5437 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.8547 loss: 0.8547 2022/08/01 15:03:33 - mmengine - INFO - Epoch(train) [75][360/940] lr: 1.0000e-03 eta: 5:09:32 time: 0.6642 data_time: 0.0306 memory: 13619 grad_norm: 4.6578 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9429 loss: 0.9429 2022/08/01 15:03:51 - mmengine - INFO - Epoch(train) [75][380/940] lr: 1.0000e-03 eta: 5:09:18 time: 0.9270 data_time: 0.0453 memory: 13619 grad_norm: 4.7438 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9383 loss: 0.9383 2022/08/01 15:04:05 - mmengine - INFO - Epoch(train) [75][400/940] lr: 1.0000e-03 eta: 5:09:02 time: 0.6739 data_time: 0.0355 memory: 13619 grad_norm: 4.6901 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9137 loss: 0.9137 2022/08/01 15:04:21 - mmengine - INFO - Epoch(train) [75][420/940] lr: 1.0000e-03 eta: 5:08:47 time: 0.8164 data_time: 0.0410 memory: 13619 grad_norm: 4.7021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9170 loss: 0.9170 2022/08/01 15:04:34 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 15:04:34 - mmengine - INFO - Epoch(train) [75][440/940] lr: 1.0000e-03 eta: 5:08:30 time: 0.6316 data_time: 0.0301 memory: 13619 grad_norm: 4.6837 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9560 loss: 0.9560 2022/08/01 15:04:52 - mmengine - INFO - Epoch(train) [75][460/940] lr: 1.0000e-03 eta: 5:08:16 time: 0.9091 data_time: 0.0372 memory: 13619 grad_norm: 4.6733 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9299 loss: 0.9299 2022/08/01 15:05:06 - mmengine - INFO - Epoch(train) [75][480/940] lr: 1.0000e-03 eta: 5:08:00 time: 0.7094 data_time: 0.0307 memory: 13619 grad_norm: 4.5955 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8459 loss: 0.8459 2022/08/01 15:05:23 - mmengine - INFO - Epoch(train) [75][500/940] lr: 1.0000e-03 eta: 5:07:45 time: 0.8588 data_time: 0.0407 memory: 13619 grad_norm: 4.5255 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.7803 loss: 0.7803 2022/08/01 15:05:37 - mmengine - INFO - Epoch(train) [75][520/940] lr: 1.0000e-03 eta: 5:07:29 time: 0.6718 data_time: 0.0376 memory: 13619 grad_norm: 4.5364 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8109 loss: 0.8109 2022/08/01 15:05:53 - mmengine - INFO - Epoch(train) [75][540/940] lr: 1.0000e-03 eta: 5:07:14 time: 0.8068 data_time: 0.0377 memory: 13619 grad_norm: 4.5983 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9148 loss: 0.9148 2022/08/01 15:06:06 - mmengine - INFO - Epoch(train) [75][560/940] lr: 1.0000e-03 eta: 5:06:58 time: 0.6781 data_time: 0.0377 memory: 13619 grad_norm: 4.8021 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9319 loss: 0.9319 2022/08/01 15:06:23 - mmengine - INFO - Epoch(train) [75][580/940] lr: 1.0000e-03 eta: 5:06:43 time: 0.8399 data_time: 0.0498 memory: 13619 grad_norm: 4.6589 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9436 loss: 0.9436 2022/08/01 15:06:36 - mmengine - INFO - Epoch(train) [75][600/940] lr: 1.0000e-03 eta: 5:06:27 time: 0.6587 data_time: 0.0389 memory: 13619 grad_norm: 4.7335 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9480 loss: 0.9480 2022/08/01 15:06:54 - mmengine - INFO - Epoch(train) [75][620/940] lr: 1.0000e-03 eta: 5:06:12 time: 0.8952 data_time: 0.0427 memory: 13619 grad_norm: 4.6585 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9143 loss: 0.9143 2022/08/01 15:07:08 - mmengine - INFO - Epoch(train) [75][640/940] lr: 1.0000e-03 eta: 5:05:56 time: 0.6714 data_time: 0.0434 memory: 13619 grad_norm: 4.6257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8506 loss: 0.8506 2022/08/01 15:07:24 - mmengine - INFO - Epoch(train) [75][660/940] lr: 1.0000e-03 eta: 5:05:41 time: 0.8104 data_time: 0.0359 memory: 13619 grad_norm: 4.6174 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8613 loss: 0.8613 2022/08/01 15:07:38 - mmengine - INFO - Epoch(train) [75][680/940] lr: 1.0000e-03 eta: 5:05:25 time: 0.7074 data_time: 0.0488 memory: 13619 grad_norm: 4.6573 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8751 loss: 0.8751 2022/08/01 15:07:54 - mmengine - INFO - Epoch(train) [75][700/940] lr: 1.0000e-03 eta: 5:05:10 time: 0.8260 data_time: 0.0436 memory: 13619 grad_norm: 4.5420 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8628 loss: 0.8628 2022/08/01 15:08:08 - mmengine - INFO - Epoch(train) [75][720/940] lr: 1.0000e-03 eta: 5:04:54 time: 0.6800 data_time: 0.0426 memory: 13619 grad_norm: 4.6786 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8714 loss: 0.8714 2022/08/01 15:08:25 - mmengine - INFO - Epoch(train) [75][740/940] lr: 1.0000e-03 eta: 5:04:39 time: 0.8309 data_time: 0.0536 memory: 13619 grad_norm: 4.6420 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8622 loss: 0.8622 2022/08/01 15:08:39 - mmengine - INFO - Epoch(train) [75][760/940] lr: 1.0000e-03 eta: 5:04:23 time: 0.7130 data_time: 0.0591 memory: 13619 grad_norm: 4.6276 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0235 loss: 1.0235 2022/08/01 15:08:55 - mmengine - INFO - Epoch(train) [75][780/940] lr: 1.0000e-03 eta: 5:04:08 time: 0.7899 data_time: 0.0334 memory: 13619 grad_norm: 4.7551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8817 loss: 0.8817 2022/08/01 15:09:10 - mmengine - INFO - Epoch(train) [75][800/940] lr: 1.0000e-03 eta: 5:03:52 time: 0.7493 data_time: 0.0432 memory: 13619 grad_norm: 4.5841 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9402 loss: 0.9402 2022/08/01 15:09:25 - mmengine - INFO - Epoch(train) [75][820/940] lr: 1.0000e-03 eta: 5:03:37 time: 0.7545 data_time: 0.0320 memory: 13619 grad_norm: 4.7045 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8575 loss: 0.8575 2022/08/01 15:09:40 - mmengine - INFO - Epoch(train) [75][840/940] lr: 1.0000e-03 eta: 5:03:21 time: 0.7369 data_time: 0.0390 memory: 13619 grad_norm: 4.6135 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9555 loss: 0.9555 2022/08/01 15:09:55 - mmengine - INFO - Epoch(train) [75][860/940] lr: 1.0000e-03 eta: 5:03:05 time: 0.7700 data_time: 0.0320 memory: 13619 grad_norm: 4.5403 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8172 loss: 0.8172 2022/08/01 15:10:09 - mmengine - INFO - Epoch(train) [75][880/940] lr: 1.0000e-03 eta: 5:02:50 time: 0.7212 data_time: 0.0598 memory: 13619 grad_norm: 4.8081 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9264 loss: 0.9264 2022/08/01 15:10:26 - mmengine - INFO - Epoch(train) [75][900/940] lr: 1.0000e-03 eta: 5:02:35 time: 0.8390 data_time: 0.0364 memory: 13619 grad_norm: 4.6384 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9542 loss: 0.9542 2022/08/01 15:10:40 - mmengine - INFO - Epoch(train) [75][920/940] lr: 1.0000e-03 eta: 5:02:19 time: 0.6852 data_time: 0.0493 memory: 13619 grad_norm: 4.5533 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7843 loss: 0.7843 2022/08/01 15:10:54 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 15:10:54 - mmengine - INFO - Epoch(train) [75][940/940] lr: 1.0000e-03 eta: 5:02:03 time: 0.7199 data_time: 0.0367 memory: 13619 grad_norm: 4.8319 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.8261 loss: 0.8261 2022/08/01 15:10:54 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/08/01 15:11:14 - mmengine - INFO - Epoch(val) [75][20/78] eta: 0:00:49 time: 0.8610 data_time: 0.7595 memory: 2186 2022/08/01 15:11:26 - mmengine - INFO - Epoch(val) [75][40/78] eta: 0:00:22 time: 0.6007 data_time: 0.5066 memory: 2186 2022/08/01 15:11:42 - mmengine - INFO - Epoch(val) [75][60/78] eta: 0:00:14 time: 0.8270 data_time: 0.7354 memory: 2186 2022/08/01 15:11:56 - mmengine - INFO - Epoch(val) [75][78/78] acc/top1: 0.7033 acc/top5: 0.8926 acc/mean1: 0.7032 2022/08/01 15:12:15 - mmengine - INFO - Epoch(train) [76][20/940] lr: 1.0000e-03 eta: 5:01:49 time: 0.9721 data_time: 0.5752 memory: 13619 grad_norm: 4.5821 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/08/01 15:12:28 - mmengine - INFO - Epoch(train) [76][40/940] lr: 1.0000e-03 eta: 5:01:33 time: 0.6601 data_time: 0.3658 memory: 13619 grad_norm: 4.6294 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8262 loss: 0.8262 2022/08/01 15:12:45 - mmengine - INFO - Epoch(train) [76][60/940] lr: 1.0000e-03 eta: 5:01:18 time: 0.8268 data_time: 0.5098 memory: 13619 grad_norm: 4.5829 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9983 loss: 0.9983 2022/08/01 15:12:59 - mmengine - INFO - Epoch(train) [76][80/940] lr: 1.0000e-03 eta: 5:01:02 time: 0.6867 data_time: 0.3739 memory: 13619 grad_norm: 4.4717 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8103 loss: 0.8103 2022/08/01 15:13:16 - mmengine - INFO - Epoch(train) [76][100/940] lr: 1.0000e-03 eta: 5:00:47 time: 0.8773 data_time: 0.5439 memory: 13619 grad_norm: 4.5932 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8368 loss: 0.8368 2022/08/01 15:13:30 - mmengine - INFO - Epoch(train) [76][120/940] lr: 1.0000e-03 eta: 5:00:31 time: 0.6984 data_time: 0.3308 memory: 13619 grad_norm: 4.6250 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8202 loss: 0.8202 2022/08/01 15:13:47 - mmengine - INFO - Epoch(train) [76][140/940] lr: 1.0000e-03 eta: 5:00:16 time: 0.8566 data_time: 0.4072 memory: 13619 grad_norm: 4.4953 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.7788 loss: 0.7788 2022/08/01 15:14:00 - mmengine - INFO - Epoch(train) [76][160/940] lr: 1.0000e-03 eta: 5:00:00 time: 0.6384 data_time: 0.1836 memory: 13619 grad_norm: 4.5814 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9339 loss: 0.9339 2022/08/01 15:14:17 - mmengine - INFO - Epoch(train) [76][180/940] lr: 1.0000e-03 eta: 4:59:45 time: 0.8533 data_time: 0.2249 memory: 13619 grad_norm: 4.7606 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9799 loss: 0.9799 2022/08/01 15:14:31 - mmengine - INFO - Epoch(train) [76][200/940] lr: 1.0000e-03 eta: 4:59:29 time: 0.6682 data_time: 0.0893 memory: 13619 grad_norm: 4.6249 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8366 loss: 0.8366 2022/08/01 15:14:48 - mmengine - INFO - Epoch(train) [76][220/940] lr: 1.0000e-03 eta: 4:59:14 time: 0.8597 data_time: 0.2525 memory: 13619 grad_norm: 4.6779 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8734 loss: 0.8734 2022/08/01 15:15:02 - mmengine - INFO - Epoch(train) [76][240/940] lr: 1.0000e-03 eta: 4:58:58 time: 0.6975 data_time: 0.0362 memory: 13619 grad_norm: 4.6325 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8534 loss: 0.8534 2022/08/01 15:15:19 - mmengine - INFO - Epoch(train) [76][260/940] lr: 1.0000e-03 eta: 4:58:43 time: 0.8528 data_time: 0.0687 memory: 13619 grad_norm: 4.6065 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8682 loss: 0.8682 2022/08/01 15:15:32 - mmengine - INFO - Epoch(train) [76][280/940] lr: 1.0000e-03 eta: 4:58:27 time: 0.6513 data_time: 0.0488 memory: 13619 grad_norm: 4.6671 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9340 loss: 0.9340 2022/08/01 15:15:49 - mmengine - INFO - Epoch(train) [76][300/940] lr: 1.0000e-03 eta: 4:58:12 time: 0.8649 data_time: 0.0398 memory: 13619 grad_norm: 4.6545 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0333 loss: 1.0333 2022/08/01 15:16:03 - mmengine - INFO - Epoch(train) [76][320/940] lr: 1.0000e-03 eta: 4:57:56 time: 0.6860 data_time: 0.0584 memory: 13619 grad_norm: 4.6314 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9453 loss: 0.9453 2022/08/01 15:16:20 - mmengine - INFO - Epoch(train) [76][340/940] lr: 1.0000e-03 eta: 4:57:41 time: 0.8556 data_time: 0.0478 memory: 13619 grad_norm: 4.6623 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8902 loss: 0.8902 2022/08/01 15:16:34 - mmengine - INFO - Epoch(train) [76][360/940] lr: 1.0000e-03 eta: 4:57:25 time: 0.6928 data_time: 0.0529 memory: 13619 grad_norm: 4.6534 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9167 loss: 0.9167 2022/08/01 15:16:51 - mmengine - INFO - Epoch(train) [76][380/940] lr: 1.0000e-03 eta: 4:57:11 time: 0.8695 data_time: 0.0509 memory: 13619 grad_norm: 4.6016 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9163 loss: 0.9163 2022/08/01 15:17:05 - mmengine - INFO - Epoch(train) [76][400/940] lr: 1.0000e-03 eta: 4:56:55 time: 0.7130 data_time: 0.0353 memory: 13619 grad_norm: 4.7054 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9813 loss: 0.9813 2022/08/01 15:17:22 - mmengine - INFO - Epoch(train) [76][420/940] lr: 1.0000e-03 eta: 4:56:40 time: 0.8048 data_time: 0.0380 memory: 13619 grad_norm: 4.6487 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9266 loss: 0.9266 2022/08/01 15:17:35 - mmengine - INFO - Epoch(train) [76][440/940] lr: 1.0000e-03 eta: 4:56:24 time: 0.6699 data_time: 0.0409 memory: 13619 grad_norm: 4.6748 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8624 loss: 0.8624 2022/08/01 15:17:52 - mmengine - INFO - Epoch(train) [76][460/940] lr: 1.0000e-03 eta: 4:56:09 time: 0.8452 data_time: 0.0446 memory: 13619 grad_norm: 4.6842 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9366 loss: 0.9366 2022/08/01 15:18:06 - mmengine - INFO - Epoch(train) [76][480/940] lr: 1.0000e-03 eta: 4:55:53 time: 0.6985 data_time: 0.0344 memory: 13619 grad_norm: 4.6745 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8890 loss: 0.8890 2022/08/01 15:18:23 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 15:18:23 - mmengine - INFO - Epoch(train) [76][500/940] lr: 1.0000e-03 eta: 4:55:38 time: 0.8555 data_time: 0.0421 memory: 13619 grad_norm: 4.6629 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8921 loss: 0.8921 2022/08/01 15:18:36 - mmengine - INFO - Epoch(train) [76][520/940] lr: 1.0000e-03 eta: 4:55:22 time: 0.6716 data_time: 0.0300 memory: 13619 grad_norm: 4.5383 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8592 loss: 0.8592 2022/08/01 15:18:54 - mmengine - INFO - Epoch(train) [76][540/940] lr: 1.0000e-03 eta: 4:55:07 time: 0.8745 data_time: 0.0437 memory: 13619 grad_norm: 4.6701 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9349 loss: 0.9349 2022/08/01 15:19:08 - mmengine - INFO - Epoch(train) [76][560/940] lr: 1.0000e-03 eta: 4:54:51 time: 0.7105 data_time: 0.0378 memory: 13619 grad_norm: 4.6644 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8724 loss: 0.8724 2022/08/01 15:19:25 - mmengine - INFO - Epoch(train) [76][580/940] lr: 1.0000e-03 eta: 4:54:36 time: 0.8307 data_time: 0.0399 memory: 13619 grad_norm: 4.5308 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9040 loss: 0.9040 2022/08/01 15:19:38 - mmengine - INFO - Epoch(train) [76][600/940] lr: 1.0000e-03 eta: 4:54:20 time: 0.6675 data_time: 0.0402 memory: 13619 grad_norm: 4.5305 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8603 loss: 0.8603 2022/08/01 15:19:55 - mmengine - INFO - Epoch(train) [76][620/940] lr: 1.0000e-03 eta: 4:54:05 time: 0.8380 data_time: 0.0342 memory: 13619 grad_norm: 4.5928 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8950 loss: 0.8950 2022/08/01 15:20:09 - mmengine - INFO - Epoch(train) [76][640/940] lr: 1.0000e-03 eta: 4:53:49 time: 0.7182 data_time: 0.0373 memory: 13619 grad_norm: 4.5943 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8950 loss: 0.8950 2022/08/01 15:20:26 - mmengine - INFO - Epoch(train) [76][660/940] lr: 1.0000e-03 eta: 4:53:34 time: 0.8253 data_time: 0.0363 memory: 13619 grad_norm: 4.6522 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8949 loss: 0.8949 2022/08/01 15:20:40 - mmengine - INFO - Epoch(train) [76][680/940] lr: 1.0000e-03 eta: 4:53:18 time: 0.6973 data_time: 0.0370 memory: 13619 grad_norm: 4.7368 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9297 loss: 0.9297 2022/08/01 15:20:57 - mmengine - INFO - Epoch(train) [76][700/940] lr: 1.0000e-03 eta: 4:53:03 time: 0.8326 data_time: 0.0356 memory: 13619 grad_norm: 4.6824 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8879 loss: 0.8879 2022/08/01 15:21:09 - mmengine - INFO - Epoch(train) [76][720/940] lr: 1.0000e-03 eta: 4:52:47 time: 0.6516 data_time: 0.0526 memory: 13619 grad_norm: 4.6817 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8687 loss: 0.8687 2022/08/01 15:21:26 - mmengine - INFO - Epoch(train) [76][740/940] lr: 1.0000e-03 eta: 4:52:32 time: 0.8183 data_time: 0.0320 memory: 13619 grad_norm: 4.7182 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9008 loss: 0.9008 2022/08/01 15:21:40 - mmengine - INFO - Epoch(train) [76][760/940] lr: 1.0000e-03 eta: 4:52:16 time: 0.7131 data_time: 0.0397 memory: 13619 grad_norm: 4.6439 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8827 loss: 0.8827 2022/08/01 15:21:57 - mmengine - INFO - Epoch(train) [76][780/940] lr: 1.0000e-03 eta: 4:52:01 time: 0.8665 data_time: 0.0322 memory: 13619 grad_norm: 4.6842 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8316 loss: 0.8316 2022/08/01 15:22:10 - mmengine - INFO - Epoch(train) [76][800/940] lr: 1.0000e-03 eta: 4:51:45 time: 0.6473 data_time: 0.0552 memory: 13619 grad_norm: 4.5205 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8715 loss: 0.8715 2022/08/01 15:22:28 - mmengine - INFO - Epoch(train) [76][820/940] lr: 1.0000e-03 eta: 4:51:30 time: 0.8685 data_time: 0.0326 memory: 13619 grad_norm: 4.7454 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0295 loss: 1.0295 2022/08/01 15:22:41 - mmengine - INFO - Epoch(train) [76][840/940] lr: 1.0000e-03 eta: 4:51:14 time: 0.6645 data_time: 0.0376 memory: 13619 grad_norm: 4.7460 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8439 loss: 0.8439 2022/08/01 15:22:58 - mmengine - INFO - Epoch(train) [76][860/940] lr: 1.0000e-03 eta: 4:50:59 time: 0.8586 data_time: 0.0311 memory: 13619 grad_norm: 4.6375 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9608 loss: 0.9608 2022/08/01 15:23:12 - mmengine - INFO - Epoch(train) [76][880/940] lr: 1.0000e-03 eta: 4:50:43 time: 0.6933 data_time: 0.0526 memory: 13619 grad_norm: 4.6873 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8802 loss: 0.8802 2022/08/01 15:23:29 - mmengine - INFO - Epoch(train) [76][900/940] lr: 1.0000e-03 eta: 4:50:29 time: 0.8453 data_time: 0.0306 memory: 13619 grad_norm: 4.6607 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8872 loss: 0.8872 2022/08/01 15:23:43 - mmengine - INFO - Epoch(train) [76][920/940] lr: 1.0000e-03 eta: 4:50:13 time: 0.6973 data_time: 0.0385 memory: 13619 grad_norm: 4.5673 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8862 loss: 0.8862 2022/08/01 15:23:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 15:23:55 - mmengine - INFO - Epoch(train) [76][940/940] lr: 1.0000e-03 eta: 4:49:56 time: 0.6151 data_time: 0.0253 memory: 13619 grad_norm: 4.9407 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.0065 loss: 1.0065 2022/08/01 15:24:12 - mmengine - INFO - Epoch(val) [76][20/78] eta: 0:00:49 time: 0.8562 data_time: 0.7617 memory: 2186 2022/08/01 15:24:25 - mmengine - INFO - Epoch(val) [76][40/78] eta: 0:00:22 time: 0.6026 data_time: 0.5090 memory: 2186 2022/08/01 15:24:41 - mmengine - INFO - Epoch(val) [76][60/78] eta: 0:00:15 time: 0.8341 data_time: 0.7282 memory: 2186 2022/08/01 15:24:55 - mmengine - INFO - Epoch(val) [76][78/78] acc/top1: 0.7060 acc/top5: 0.8914 acc/mean1: 0.7058 2022/08/01 15:25:15 - mmengine - INFO - Epoch(train) [77][20/940] lr: 1.0000e-03 eta: 4:49:42 time: 0.9958 data_time: 0.5006 memory: 13619 grad_norm: 4.6423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9151 loss: 0.9151 2022/08/01 15:25:28 - mmengine - INFO - Epoch(train) [77][40/940] lr: 1.0000e-03 eta: 4:49:26 time: 0.6428 data_time: 0.3279 memory: 13619 grad_norm: 4.5647 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7821 loss: 0.7821 2022/08/01 15:25:46 - mmengine - INFO - Epoch(train) [77][60/940] lr: 1.0000e-03 eta: 4:49:11 time: 0.9016 data_time: 0.5717 memory: 13619 grad_norm: 4.5177 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8896 loss: 0.8896 2022/08/01 15:25:58 - mmengine - INFO - Epoch(train) [77][80/940] lr: 1.0000e-03 eta: 4:48:55 time: 0.6202 data_time: 0.3191 memory: 13619 grad_norm: 4.4494 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8032 loss: 0.8032 2022/08/01 15:26:16 - mmengine - INFO - Epoch(train) [77][100/940] lr: 1.0000e-03 eta: 4:48:40 time: 0.8732 data_time: 0.5249 memory: 13619 grad_norm: 4.6525 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/08/01 15:26:29 - mmengine - INFO - Epoch(train) [77][120/940] lr: 1.0000e-03 eta: 4:48:24 time: 0.6728 data_time: 0.2021 memory: 13619 grad_norm: 4.7714 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9601 loss: 0.9601 2022/08/01 15:26:47 - mmengine - INFO - Epoch(train) [77][140/940] lr: 1.0000e-03 eta: 4:48:10 time: 0.9181 data_time: 0.2512 memory: 13619 grad_norm: 4.5964 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8493 loss: 0.8493 2022/08/01 15:26:59 - mmengine - INFO - Epoch(train) [77][160/940] lr: 1.0000e-03 eta: 4:47:53 time: 0.5667 data_time: 0.0497 memory: 13619 grad_norm: 4.6744 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8387 loss: 0.8387 2022/08/01 15:27:16 - mmengine - INFO - Epoch(train) [77][180/940] lr: 1.0000e-03 eta: 4:47:38 time: 0.8867 data_time: 0.1435 memory: 13619 grad_norm: 4.6981 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8880 loss: 0.8880 2022/08/01 15:27:30 - mmengine - INFO - Epoch(train) [77][200/940] lr: 1.0000e-03 eta: 4:47:22 time: 0.6989 data_time: 0.0724 memory: 13619 grad_norm: 4.7393 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9766 loss: 0.9766 2022/08/01 15:27:47 - mmengine - INFO - Epoch(train) [77][220/940] lr: 1.0000e-03 eta: 4:47:07 time: 0.8306 data_time: 0.2057 memory: 13619 grad_norm: 4.5518 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8744 loss: 0.8744 2022/08/01 15:28:01 - mmengine - INFO - Epoch(train) [77][240/940] lr: 1.0000e-03 eta: 4:46:51 time: 0.6772 data_time: 0.1601 memory: 13619 grad_norm: 4.5806 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9763 loss: 0.9763 2022/08/01 15:28:19 - mmengine - INFO - Epoch(train) [77][260/940] lr: 1.0000e-03 eta: 4:46:37 time: 0.8990 data_time: 0.3767 memory: 13619 grad_norm: 4.6571 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9022 loss: 0.9022 2022/08/01 15:28:32 - mmengine - INFO - Epoch(train) [77][280/940] lr: 1.0000e-03 eta: 4:46:21 time: 0.6725 data_time: 0.1305 memory: 13619 grad_norm: 4.7462 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8508 loss: 0.8508 2022/08/01 15:28:49 - mmengine - INFO - Epoch(train) [77][300/940] lr: 1.0000e-03 eta: 4:46:06 time: 0.8490 data_time: 0.1519 memory: 13619 grad_norm: 4.5823 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9141 loss: 0.9141 2022/08/01 15:29:03 - mmengine - INFO - Epoch(train) [77][320/940] lr: 1.0000e-03 eta: 4:45:50 time: 0.7206 data_time: 0.0424 memory: 13619 grad_norm: 4.7326 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9800 loss: 0.9800 2022/08/01 15:29:20 - mmengine - INFO - Epoch(train) [77][340/940] lr: 1.0000e-03 eta: 4:45:35 time: 0.8044 data_time: 0.0394 memory: 13619 grad_norm: 4.6121 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8367 loss: 0.8367 2022/08/01 15:29:33 - mmengine - INFO - Epoch(train) [77][360/940] lr: 1.0000e-03 eta: 4:45:19 time: 0.6790 data_time: 0.0402 memory: 13619 grad_norm: 4.7246 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8314 loss: 0.8314 2022/08/01 15:29:50 - mmengine - INFO - Epoch(train) [77][380/940] lr: 1.0000e-03 eta: 4:45:04 time: 0.8375 data_time: 0.1706 memory: 13619 grad_norm: 4.7388 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7790 loss: 0.7790 2022/08/01 15:30:05 - mmengine - INFO - Epoch(train) [77][400/940] lr: 1.0000e-03 eta: 4:44:48 time: 0.7531 data_time: 0.1116 memory: 13619 grad_norm: 4.6593 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8413 loss: 0.8413 2022/08/01 15:30:22 - mmengine - INFO - Epoch(train) [77][420/940] lr: 1.0000e-03 eta: 4:44:33 time: 0.8669 data_time: 0.0739 memory: 13619 grad_norm: 4.6718 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/01 15:30:35 - mmengine - INFO - Epoch(train) [77][440/940] lr: 1.0000e-03 eta: 4:44:17 time: 0.6481 data_time: 0.0313 memory: 13619 grad_norm: 4.6977 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8986 loss: 0.8986 2022/08/01 15:30:52 - mmengine - INFO - Epoch(train) [77][460/940] lr: 1.0000e-03 eta: 4:44:02 time: 0.8456 data_time: 0.0376 memory: 13619 grad_norm: 4.7420 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9213 loss: 0.9213 2022/08/01 15:31:06 - mmengine - INFO - Epoch(train) [77][480/940] lr: 1.0000e-03 eta: 4:43:46 time: 0.6784 data_time: 0.0430 memory: 13619 grad_norm: 4.7072 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8688 loss: 0.8688 2022/08/01 15:31:22 - mmengine - INFO - Epoch(train) [77][500/940] lr: 1.0000e-03 eta: 4:43:31 time: 0.8034 data_time: 0.0384 memory: 13619 grad_norm: 4.6136 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7841 loss: 0.7841 2022/08/01 15:31:36 - mmengine - INFO - Epoch(train) [77][520/940] lr: 1.0000e-03 eta: 4:43:15 time: 0.6963 data_time: 0.0333 memory: 13619 grad_norm: 4.5412 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8809 loss: 0.8809 2022/08/01 15:31:53 - mmengine - INFO - Epoch(train) [77][540/940] lr: 1.0000e-03 eta: 4:43:00 time: 0.8561 data_time: 0.0375 memory: 13619 grad_norm: 4.7309 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9179 loss: 0.9179 2022/08/01 15:32:07 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 15:32:07 - mmengine - INFO - Epoch(train) [77][560/940] lr: 1.0000e-03 eta: 4:42:45 time: 0.7251 data_time: 0.0395 memory: 13619 grad_norm: 4.5734 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8474 loss: 0.8474 2022/08/01 15:32:23 - mmengine - INFO - Epoch(train) [77][580/940] lr: 1.0000e-03 eta: 4:42:29 time: 0.7893 data_time: 0.0392 memory: 13619 grad_norm: 4.7989 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8920 loss: 0.8920 2022/08/01 15:32:38 - mmengine - INFO - Epoch(train) [77][600/940] lr: 1.0000e-03 eta: 4:42:14 time: 0.7627 data_time: 0.0817 memory: 13619 grad_norm: 4.6431 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8918 loss: 0.8918 2022/08/01 15:32:55 - mmengine - INFO - Epoch(train) [77][620/940] lr: 1.0000e-03 eta: 4:41:59 time: 0.8135 data_time: 0.0624 memory: 13619 grad_norm: 4.6261 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8771 loss: 0.8771 2022/08/01 15:33:09 - mmengine - INFO - Epoch(train) [77][640/940] lr: 1.0000e-03 eta: 4:41:43 time: 0.7042 data_time: 0.1703 memory: 13619 grad_norm: 4.7907 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9508 loss: 0.9508 2022/08/01 15:33:26 - mmengine - INFO - Epoch(train) [77][660/940] lr: 1.0000e-03 eta: 4:41:28 time: 0.8478 data_time: 0.1709 memory: 13619 grad_norm: 4.7552 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8628 loss: 0.8628 2022/08/01 15:33:40 - mmengine - INFO - Epoch(train) [77][680/940] lr: 1.0000e-03 eta: 4:41:12 time: 0.7041 data_time: 0.0429 memory: 13619 grad_norm: 4.6605 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/01 15:33:57 - mmengine - INFO - Epoch(train) [77][700/940] lr: 1.0000e-03 eta: 4:40:57 time: 0.8354 data_time: 0.0389 memory: 13619 grad_norm: 4.5617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7913 loss: 0.7913 2022/08/01 15:34:09 - mmengine - INFO - Epoch(train) [77][720/940] lr: 1.0000e-03 eta: 4:40:41 time: 0.6233 data_time: 0.0461 memory: 13619 grad_norm: 4.8024 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8988 loss: 0.8988 2022/08/01 15:34:26 - mmengine - INFO - Epoch(train) [77][740/940] lr: 1.0000e-03 eta: 4:40:26 time: 0.8646 data_time: 0.0427 memory: 13619 grad_norm: 4.7375 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8614 loss: 0.8614 2022/08/01 15:34:40 - mmengine - INFO - Epoch(train) [77][760/940] lr: 1.0000e-03 eta: 4:40:10 time: 0.7037 data_time: 0.0395 memory: 13619 grad_norm: 4.6196 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7329 loss: 0.7329 2022/08/01 15:34:58 - mmengine - INFO - Epoch(train) [77][780/940] lr: 1.0000e-03 eta: 4:39:55 time: 0.8792 data_time: 0.0359 memory: 13619 grad_norm: 4.6025 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7793 loss: 0.7793 2022/08/01 15:35:11 - mmengine - INFO - Epoch(train) [77][800/940] lr: 1.0000e-03 eta: 4:39:39 time: 0.6640 data_time: 0.0351 memory: 13619 grad_norm: 4.6587 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8475 loss: 0.8475 2022/08/01 15:35:28 - mmengine - INFO - Epoch(train) [77][820/940] lr: 1.0000e-03 eta: 4:39:24 time: 0.8547 data_time: 0.0431 memory: 13619 grad_norm: 4.6485 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8655 loss: 0.8655 2022/08/01 15:35:42 - mmengine - INFO - Epoch(train) [77][840/940] lr: 1.0000e-03 eta: 4:39:08 time: 0.6666 data_time: 0.0598 memory: 13619 grad_norm: 4.7644 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1075 loss: 1.1075 2022/08/01 15:36:00 - mmengine - INFO - Epoch(train) [77][860/940] lr: 1.0000e-03 eta: 4:38:54 time: 0.9150 data_time: 0.0360 memory: 13619 grad_norm: 4.6659 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7504 loss: 0.7504 2022/08/01 15:36:14 - mmengine - INFO - Epoch(train) [77][880/940] lr: 1.0000e-03 eta: 4:38:38 time: 0.7003 data_time: 0.0348 memory: 13619 grad_norm: 4.6543 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8807 loss: 0.8807 2022/08/01 15:36:31 - mmengine - INFO - Epoch(train) [77][900/940] lr: 1.0000e-03 eta: 4:38:23 time: 0.8267 data_time: 0.0394 memory: 13619 grad_norm: 4.6821 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9427 loss: 0.9427 2022/08/01 15:36:44 - mmengine - INFO - Epoch(train) [77][920/940] lr: 1.0000e-03 eta: 4:38:07 time: 0.6890 data_time: 0.0506 memory: 13619 grad_norm: 4.6722 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8311 loss: 0.8311 2022/08/01 15:42:01 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 15:42:01 - mmengine - INFO - Epoch(train) [77][940/940] lr: 1.0000e-03 eta: 4:39:21 time: 15.8271 data_time: 15.2280 memory: 13619 grad_norm: 5.2080 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.9983 loss: 0.9983 2022/08/01 15:42:18 - mmengine - INFO - Epoch(val) [77][20/78] eta: 0:00:48 time: 0.8406 data_time: 0.7332 memory: 2186 2022/08/01 15:42:30 - mmengine - INFO - Epoch(val) [77][40/78] eta: 0:00:23 time: 0.6268 data_time: 0.5334 memory: 2186 2022/08/01 15:42:46 - mmengine - INFO - Epoch(val) [77][60/78] eta: 0:00:14 time: 0.7889 data_time: 0.6967 memory: 2186 2022/08/01 15:43:00 - mmengine - INFO - Epoch(val) [77][78/78] acc/top1: 0.7035 acc/top5: 0.8935 acc/mean1: 0.7034 2022/08/01 15:43:20 - mmengine - INFO - Epoch(train) [78][20/940] lr: 1.0000e-03 eta: 4:39:07 time: 0.9749 data_time: 0.6001 memory: 13619 grad_norm: 4.5637 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8440 loss: 0.8440 2022/08/01 15:43:32 - mmengine - INFO - Epoch(train) [78][40/940] lr: 1.0000e-03 eta: 4:38:51 time: 0.6459 data_time: 0.3124 memory: 13619 grad_norm: 4.5714 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7943 loss: 0.7943 2022/08/01 15:43:49 - mmengine - INFO - Epoch(train) [78][60/940] lr: 1.0000e-03 eta: 4:38:36 time: 0.8349 data_time: 0.3921 memory: 13619 grad_norm: 4.6791 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9110 loss: 0.9110 2022/08/01 15:44:03 - mmengine - INFO - Epoch(train) [78][80/940] lr: 1.0000e-03 eta: 4:38:20 time: 0.6975 data_time: 0.2156 memory: 13619 grad_norm: 4.6553 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8582 loss: 0.8582 2022/08/01 15:44:20 - mmengine - INFO - Epoch(train) [78][100/940] lr: 1.0000e-03 eta: 4:38:05 time: 0.8539 data_time: 0.2655 memory: 13619 grad_norm: 4.6640 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9199 loss: 0.9199 2022/08/01 15:44:33 - mmengine - INFO - Epoch(train) [78][120/940] lr: 1.0000e-03 eta: 4:37:48 time: 0.6612 data_time: 0.0970 memory: 13619 grad_norm: 4.6965 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8769 loss: 0.8769 2022/08/01 15:44:50 - mmengine - INFO - Epoch(train) [78][140/940] lr: 1.0000e-03 eta: 4:37:33 time: 0.8438 data_time: 0.2362 memory: 13619 grad_norm: 4.6800 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8991 loss: 0.8991 2022/08/01 15:45:05 - mmengine - INFO - Epoch(train) [78][160/940] lr: 1.0000e-03 eta: 4:37:17 time: 0.7135 data_time: 0.2034 memory: 13619 grad_norm: 4.5148 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8389 loss: 0.8389 2022/08/01 15:45:21 - mmengine - INFO - Epoch(train) [78][180/940] lr: 1.0000e-03 eta: 4:37:02 time: 0.8204 data_time: 0.2657 memory: 13619 grad_norm: 4.5540 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8416 loss: 0.8416 2022/08/01 15:45:34 - mmengine - INFO - Epoch(train) [78][200/940] lr: 1.0000e-03 eta: 4:36:46 time: 0.6687 data_time: 0.1874 memory: 13619 grad_norm: 4.6105 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8001 loss: 0.8001 2022/08/01 15:45:51 - mmengine - INFO - Epoch(train) [78][220/940] lr: 1.0000e-03 eta: 4:36:31 time: 0.8480 data_time: 0.3545 memory: 13619 grad_norm: 4.6023 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9031 loss: 0.9031 2022/08/01 15:46:05 - mmengine - INFO - Epoch(train) [78][240/940] lr: 1.0000e-03 eta: 4:36:15 time: 0.6577 data_time: 0.2719 memory: 13619 grad_norm: 4.7565 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7086 loss: 0.7086 2022/08/01 15:46:22 - mmengine - INFO - Epoch(train) [78][260/940] lr: 1.0000e-03 eta: 4:36:00 time: 0.8665 data_time: 0.4605 memory: 13619 grad_norm: 4.5418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0173 loss: 1.0173 2022/08/01 15:46:36 - mmengine - INFO - Epoch(train) [78][280/940] lr: 1.0000e-03 eta: 4:35:44 time: 0.7288 data_time: 0.2693 memory: 13619 grad_norm: 4.5694 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8482 loss: 0.8482 2022/08/01 15:46:53 - mmengine - INFO - Epoch(train) [78][300/940] lr: 1.0000e-03 eta: 4:35:29 time: 0.8515 data_time: 0.2806 memory: 13619 grad_norm: 4.5559 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9084 loss: 0.9084 2022/08/01 15:47:07 - mmengine - INFO - Epoch(train) [78][320/940] lr: 1.0000e-03 eta: 4:35:13 time: 0.6800 data_time: 0.1844 memory: 13619 grad_norm: 4.6084 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8775 loss: 0.8775 2022/08/01 15:47:24 - mmengine - INFO - Epoch(train) [78][340/940] lr: 1.0000e-03 eta: 4:34:58 time: 0.8325 data_time: 0.2244 memory: 13619 grad_norm: 4.5739 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0014 loss: 1.0014 2022/08/01 15:47:38 - mmengine - INFO - Epoch(train) [78][360/940] lr: 1.0000e-03 eta: 4:34:42 time: 0.6886 data_time: 0.1984 memory: 13619 grad_norm: 4.8186 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8985 loss: 0.8985 2022/08/01 15:47:55 - mmengine - INFO - Epoch(train) [78][380/940] lr: 1.0000e-03 eta: 4:34:27 time: 0.8962 data_time: 0.1918 memory: 13619 grad_norm: 4.5954 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8330 loss: 0.8330 2022/08/01 15:48:09 - mmengine - INFO - Epoch(train) [78][400/940] lr: 1.0000e-03 eta: 4:34:11 time: 0.6692 data_time: 0.0844 memory: 13619 grad_norm: 4.7088 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1292 loss: 1.1292 2022/08/01 15:48:26 - mmengine - INFO - Epoch(train) [78][420/940] lr: 1.0000e-03 eta: 4:33:56 time: 0.8435 data_time: 0.2618 memory: 13619 grad_norm: 4.5742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8853 loss: 0.8853 2022/08/01 15:48:39 - mmengine - INFO - Epoch(train) [78][440/940] lr: 1.0000e-03 eta: 4:33:40 time: 0.6831 data_time: 0.0824 memory: 13619 grad_norm: 4.7016 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8389 loss: 0.8389 2022/08/01 15:48:57 - mmengine - INFO - Epoch(train) [78][460/940] lr: 1.0000e-03 eta: 4:33:25 time: 0.8814 data_time: 0.1125 memory: 13619 grad_norm: 4.6157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8752 loss: 0.8752 2022/08/01 15:49:11 - mmengine - INFO - Epoch(train) [78][480/940] lr: 1.0000e-03 eta: 4:33:09 time: 0.7170 data_time: 0.0350 memory: 13619 grad_norm: 4.7354 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9141 loss: 0.9141 2022/08/01 15:49:28 - mmengine - INFO - Epoch(train) [78][500/940] lr: 1.0000e-03 eta: 4:32:54 time: 0.8072 data_time: 0.0352 memory: 13619 grad_norm: 4.6958 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/08/01 15:49:42 - mmengine - INFO - Epoch(train) [78][520/940] lr: 1.0000e-03 eta: 4:32:38 time: 0.7399 data_time: 0.0335 memory: 13619 grad_norm: 4.6263 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9148 loss: 0.9148 2022/08/01 15:49:58 - mmengine - INFO - Epoch(train) [78][540/940] lr: 1.0000e-03 eta: 4:32:22 time: 0.7974 data_time: 0.0373 memory: 13619 grad_norm: 4.6672 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8061 loss: 0.8061 2022/08/01 15:50:12 - mmengine - INFO - Epoch(train) [78][560/940] lr: 1.0000e-03 eta: 4:32:06 time: 0.6800 data_time: 0.0324 memory: 13619 grad_norm: 4.5964 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8323 loss: 0.8323 2022/08/01 15:50:29 - mmengine - INFO - Epoch(train) [78][580/940] lr: 1.0000e-03 eta: 4:31:51 time: 0.8614 data_time: 0.0437 memory: 13619 grad_norm: 4.6232 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9048 loss: 0.9048 2022/08/01 15:50:43 - mmengine - INFO - Epoch(train) [78][600/940] lr: 1.0000e-03 eta: 4:31:35 time: 0.6705 data_time: 0.0354 memory: 13619 grad_norm: 4.6478 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8063 loss: 0.8063 2022/08/01 15:51:01 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 15:51:01 - mmengine - INFO - Epoch(train) [78][620/940] lr: 1.0000e-03 eta: 4:31:20 time: 0.8988 data_time: 0.0367 memory: 13619 grad_norm: 4.7600 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9172 loss: 0.9172 2022/08/01 15:51:14 - mmengine - INFO - Epoch(train) [78][640/940] lr: 1.0000e-03 eta: 4:31:04 time: 0.6528 data_time: 0.0508 memory: 13619 grad_norm: 4.5847 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7820 loss: 0.7820 2022/08/01 15:51:30 - mmengine - INFO - Epoch(train) [78][660/940] lr: 1.0000e-03 eta: 4:30:49 time: 0.8069 data_time: 0.0471 memory: 13619 grad_norm: 4.8779 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9762 loss: 0.9762 2022/08/01 15:51:44 - mmengine - INFO - Epoch(train) [78][680/940] lr: 1.0000e-03 eta: 4:30:33 time: 0.7203 data_time: 0.1356 memory: 13619 grad_norm: 4.6984 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8854 loss: 0.8854 2022/08/01 15:52:01 - mmengine - INFO - Epoch(train) [78][700/940] lr: 1.0000e-03 eta: 4:30:18 time: 0.8110 data_time: 0.1827 memory: 13619 grad_norm: 4.6341 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9070 loss: 0.9070 2022/08/01 15:52:14 - mmengine - INFO - Epoch(train) [78][720/940] lr: 1.0000e-03 eta: 4:30:02 time: 0.7035 data_time: 0.2303 memory: 13619 grad_norm: 4.6082 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8841 loss: 0.8841 2022/08/01 15:52:32 - mmengine - INFO - Epoch(train) [78][740/940] lr: 1.0000e-03 eta: 4:29:47 time: 0.8580 data_time: 0.1439 memory: 13619 grad_norm: 4.6813 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9635 loss: 0.9635 2022/08/01 15:52:45 - mmengine - INFO - Epoch(train) [78][760/940] lr: 1.0000e-03 eta: 4:29:31 time: 0.6679 data_time: 0.1104 memory: 13619 grad_norm: 4.6994 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9581 loss: 0.9581 2022/08/01 15:53:03 - mmengine - INFO - Epoch(train) [78][780/940] lr: 1.0000e-03 eta: 4:29:16 time: 0.8964 data_time: 0.1518 memory: 13619 grad_norm: 4.6769 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8123 loss: 0.8123 2022/08/01 15:53:17 - mmengine - INFO - Epoch(train) [78][800/940] lr: 1.0000e-03 eta: 4:29:00 time: 0.6901 data_time: 0.0876 memory: 13619 grad_norm: 4.7829 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9789 loss: 0.9789 2022/08/01 15:53:34 - mmengine - INFO - Epoch(train) [78][820/940] lr: 1.0000e-03 eta: 4:28:45 time: 0.8714 data_time: 0.0749 memory: 13619 grad_norm: 4.6893 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7819 loss: 0.7819 2022/08/01 15:53:48 - mmengine - INFO - Epoch(train) [78][840/940] lr: 1.0000e-03 eta: 4:28:29 time: 0.6863 data_time: 0.0772 memory: 13619 grad_norm: 4.7164 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9088 loss: 0.9088 2022/08/01 15:54:05 - mmengine - INFO - Epoch(train) [78][860/940] lr: 1.0000e-03 eta: 4:28:14 time: 0.8582 data_time: 0.0386 memory: 13619 grad_norm: 4.7587 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9047 loss: 0.9047 2022/08/01 15:54:19 - mmengine - INFO - Epoch(train) [78][880/940] lr: 1.0000e-03 eta: 4:27:58 time: 0.7011 data_time: 0.0283 memory: 13619 grad_norm: 4.6392 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8504 loss: 0.8504 2022/08/01 15:54:36 - mmengine - INFO - Epoch(train) [78][900/940] lr: 1.0000e-03 eta: 4:27:43 time: 0.8323 data_time: 0.0378 memory: 13619 grad_norm: 4.7148 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8664 loss: 0.8664 2022/08/01 15:54:48 - mmengine - INFO - Epoch(train) [78][920/940] lr: 1.0000e-03 eta: 4:27:27 time: 0.6322 data_time: 0.0361 memory: 13619 grad_norm: 4.7732 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8962 loss: 0.8962 2022/08/01 15:55:03 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 15:55:03 - mmengine - INFO - Epoch(train) [78][940/940] lr: 1.0000e-03 eta: 4:27:11 time: 0.7103 data_time: 0.0826 memory: 13619 grad_norm: 5.1933 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.9482 loss: 0.9482 2022/08/01 15:55:03 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/08/01 15:55:22 - mmengine - INFO - Epoch(val) [78][20/78] eta: 0:00:50 time: 0.8751 data_time: 0.7836 memory: 2186 2022/08/01 15:55:34 - mmengine - INFO - Epoch(val) [78][40/78] eta: 0:00:22 time: 0.5917 data_time: 0.4997 memory: 2186 2022/08/01 15:55:50 - mmengine - INFO - Epoch(val) [78][60/78] eta: 0:00:14 time: 0.8268 data_time: 0.7343 memory: 2186 2022/08/01 15:56:03 - mmengine - INFO - Epoch(val) [78][78/78] acc/top1: 0.7060 acc/top5: 0.8925 acc/mean1: 0.7058 2022/08/01 15:56:24 - mmengine - INFO - Epoch(train) [79][20/940] lr: 1.0000e-03 eta: 4:26:57 time: 1.0360 data_time: 0.4417 memory: 13619 grad_norm: 4.6064 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8367 loss: 0.8367 2022/08/01 15:56:37 - mmengine - INFO - Epoch(train) [79][40/940] lr: 1.0000e-03 eta: 4:26:41 time: 0.6822 data_time: 0.1575 memory: 13619 grad_norm: 4.7125 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8180 loss: 0.8180 2022/08/01 15:56:54 - mmengine - INFO - Epoch(train) [79][60/940] lr: 1.0000e-03 eta: 4:26:25 time: 0.8222 data_time: 0.2525 memory: 13619 grad_norm: 4.7469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8665 loss: 0.8665 2022/08/01 15:57:07 - mmengine - INFO - Epoch(train) [79][80/940] lr: 1.0000e-03 eta: 4:26:09 time: 0.6668 data_time: 0.2891 memory: 13619 grad_norm: 4.6962 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8835 loss: 0.8835 2022/08/01 15:57:24 - mmengine - INFO - Epoch(train) [79][100/940] lr: 1.0000e-03 eta: 4:25:54 time: 0.8560 data_time: 0.4506 memory: 13619 grad_norm: 4.6628 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8257 loss: 0.8257 2022/08/01 15:57:37 - mmengine - INFO - Epoch(train) [79][120/940] lr: 1.0000e-03 eta: 4:25:38 time: 0.6564 data_time: 0.2058 memory: 13619 grad_norm: 4.5416 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8964 loss: 0.8964 2022/08/01 15:57:54 - mmengine - INFO - Epoch(train) [79][140/940] lr: 1.0000e-03 eta: 4:25:23 time: 0.8234 data_time: 0.3450 memory: 13619 grad_norm: 4.6230 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8528 loss: 0.8528 2022/08/01 15:58:07 - mmengine - INFO - Epoch(train) [79][160/940] lr: 1.0000e-03 eta: 4:25:07 time: 0.6696 data_time: 0.2645 memory: 13619 grad_norm: 4.6355 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9395 loss: 0.9395 2022/08/01 15:58:24 - mmengine - INFO - Epoch(train) [79][180/940] lr: 1.0000e-03 eta: 4:24:52 time: 0.8559 data_time: 0.2574 memory: 13619 grad_norm: 4.8017 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9738 loss: 0.9738 2022/08/01 15:58:38 - mmengine - INFO - Epoch(train) [79][200/940] lr: 1.0000e-03 eta: 4:24:35 time: 0.6600 data_time: 0.1632 memory: 13619 grad_norm: 4.6165 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8293 loss: 0.8293 2022/08/01 15:58:55 - mmengine - INFO - Epoch(train) [79][220/940] lr: 1.0000e-03 eta: 4:24:21 time: 0.8843 data_time: 0.2018 memory: 13619 grad_norm: 4.6955 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8120 loss: 0.8120 2022/08/01 15:59:08 - mmengine - INFO - Epoch(train) [79][240/940] lr: 1.0000e-03 eta: 4:24:04 time: 0.6401 data_time: 0.0607 memory: 13619 grad_norm: 4.6216 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.9279 loss: 0.9279 2022/08/01 15:59:25 - mmengine - INFO - Epoch(train) [79][260/940] lr: 1.0000e-03 eta: 4:23:49 time: 0.8457 data_time: 0.2107 memory: 13619 grad_norm: 4.6228 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8715 loss: 0.8715 2022/08/01 15:59:38 - mmengine - INFO - Epoch(train) [79][280/940] lr: 1.0000e-03 eta: 4:23:33 time: 0.6736 data_time: 0.0334 memory: 13619 grad_norm: 4.5957 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9107 loss: 0.9107 2022/08/01 15:59:56 - mmengine - INFO - Epoch(train) [79][300/940] lr: 1.0000e-03 eta: 4:23:18 time: 0.8593 data_time: 0.1221 memory: 13619 grad_norm: 4.6897 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7747 loss: 0.7747 2022/08/01 16:00:09 - mmengine - INFO - Epoch(train) [79][320/940] lr: 1.0000e-03 eta: 4:23:02 time: 0.6743 data_time: 0.0396 memory: 13619 grad_norm: 4.6543 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9522 loss: 0.9522 2022/08/01 16:00:27 - mmengine - INFO - Epoch(train) [79][340/940] lr: 1.0000e-03 eta: 4:22:47 time: 0.8752 data_time: 0.0464 memory: 13619 grad_norm: 4.6076 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8716 loss: 0.8716 2022/08/01 16:00:41 - mmengine - INFO - Epoch(train) [79][360/940] lr: 1.0000e-03 eta: 4:22:31 time: 0.6938 data_time: 0.0283 memory: 13619 grad_norm: 4.6914 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8882 loss: 0.8882 2022/08/01 16:00:57 - mmengine - INFO - Epoch(train) [79][380/940] lr: 1.0000e-03 eta: 4:22:16 time: 0.8200 data_time: 0.0529 memory: 13619 grad_norm: 4.7056 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8888 loss: 0.8888 2022/08/01 16:01:11 - mmengine - INFO - Epoch(train) [79][400/940] lr: 1.0000e-03 eta: 4:22:00 time: 0.6883 data_time: 0.0338 memory: 13619 grad_norm: 4.7438 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8201 loss: 0.8201 2022/08/01 16:01:27 - mmengine - INFO - Epoch(train) [79][420/940] lr: 1.0000e-03 eta: 4:21:45 time: 0.8171 data_time: 0.0399 memory: 13619 grad_norm: 4.6765 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8816 loss: 0.8816 2022/08/01 16:01:41 - mmengine - INFO - Epoch(train) [79][440/940] lr: 1.0000e-03 eta: 4:21:29 time: 0.7154 data_time: 0.0366 memory: 13619 grad_norm: 4.7125 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8494 loss: 0.8494 2022/08/01 16:03:28 - mmengine - INFO - Epoch(train) [79][460/940] lr: 1.0000e-03 eta: 4:21:38 time: 5.3289 data_time: 4.8712 memory: 13619 grad_norm: 4.6479 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8415 loss: 0.8415 2022/08/01 16:03:42 - mmengine - INFO - Epoch(train) [79][480/940] lr: 1.0000e-03 eta: 4:21:22 time: 0.7210 data_time: 0.4023 memory: 13619 grad_norm: 4.7278 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8777 loss: 0.8777 2022/08/01 16:03:59 - mmengine - INFO - Epoch(train) [79][500/940] lr: 1.0000e-03 eta: 4:21:07 time: 0.8401 data_time: 0.4966 memory: 13619 grad_norm: 4.7744 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8508 loss: 0.8508 2022/08/01 16:04:12 - mmengine - INFO - Epoch(train) [79][520/940] lr: 1.0000e-03 eta: 4:20:51 time: 0.6491 data_time: 0.3441 memory: 13619 grad_norm: 4.6897 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7678 loss: 0.7678 2022/08/01 16:04:29 - mmengine - INFO - Epoch(train) [79][540/940] lr: 1.0000e-03 eta: 4:20:36 time: 0.8271 data_time: 0.5145 memory: 13619 grad_norm: 4.7539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7937 loss: 0.7937 2022/08/01 16:04:43 - mmengine - INFO - Epoch(train) [79][560/940] lr: 1.0000e-03 eta: 4:20:20 time: 0.6899 data_time: 0.3262 memory: 13619 grad_norm: 4.6618 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7722 loss: 0.7722 2022/08/01 16:05:01 - mmengine - INFO - Epoch(train) [79][580/940] lr: 1.0000e-03 eta: 4:20:05 time: 0.9351 data_time: 0.5947 memory: 13619 grad_norm: 4.6605 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8613 loss: 0.8613 2022/08/01 16:05:14 - mmengine - INFO - Epoch(train) [79][600/940] lr: 1.0000e-03 eta: 4:19:49 time: 0.6391 data_time: 0.3250 memory: 13619 grad_norm: 4.8183 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9580 loss: 0.9580 2022/08/01 16:05:32 - mmengine - INFO - Epoch(train) [79][620/940] lr: 1.0000e-03 eta: 4:19:34 time: 0.9136 data_time: 0.5833 memory: 13619 grad_norm: 4.6660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9650 loss: 0.9650 2022/08/01 16:05:45 - mmengine - INFO - Epoch(train) [79][640/940] lr: 1.0000e-03 eta: 4:19:18 time: 0.6444 data_time: 0.3280 memory: 13619 grad_norm: 4.6641 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8734 loss: 0.8734 2022/08/01 16:06:03 - mmengine - INFO - Epoch(train) [79][660/940] lr: 1.0000e-03 eta: 4:19:03 time: 0.8732 data_time: 0.5558 memory: 13619 grad_norm: 4.8535 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8884 loss: 0.8884 2022/08/01 16:06:16 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 16:06:16 - mmengine - INFO - Epoch(train) [79][680/940] lr: 1.0000e-03 eta: 4:18:47 time: 0.6420 data_time: 0.3324 memory: 13619 grad_norm: 4.7977 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9272 loss: 0.9272 2022/08/01 16:06:33 - mmengine - INFO - Epoch(train) [79][700/940] lr: 1.0000e-03 eta: 4:18:31 time: 0.8503 data_time: 0.5079 memory: 13619 grad_norm: 4.7058 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9097 loss: 0.9097 2022/08/01 16:06:45 - mmengine - INFO - Epoch(train) [79][720/940] lr: 1.0000e-03 eta: 4:18:15 time: 0.6468 data_time: 0.3223 memory: 13619 grad_norm: 4.7254 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8353 loss: 0.8353 2022/08/01 16:07:02 - mmengine - INFO - Epoch(train) [79][740/940] lr: 1.0000e-03 eta: 4:18:00 time: 0.8274 data_time: 0.5105 memory: 13619 grad_norm: 4.7357 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8112 loss: 0.8112 2022/08/01 16:07:16 - mmengine - INFO - Epoch(train) [79][760/940] lr: 1.0000e-03 eta: 4:17:44 time: 0.7097 data_time: 0.3466 memory: 13619 grad_norm: 4.7520 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8599 loss: 0.8599 2022/08/01 16:07:33 - mmengine - INFO - Epoch(train) [79][780/940] lr: 1.0000e-03 eta: 4:17:29 time: 0.8154 data_time: 0.4820 memory: 13619 grad_norm: 4.6084 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8445 loss: 0.8445 2022/08/01 16:07:46 - mmengine - INFO - Epoch(train) [79][800/940] lr: 1.0000e-03 eta: 4:17:13 time: 0.6878 data_time: 0.3861 memory: 13619 grad_norm: 4.6297 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8723 loss: 0.8723 2022/08/01 16:08:03 - mmengine - INFO - Epoch(train) [79][820/940] lr: 1.0000e-03 eta: 4:16:58 time: 0.8423 data_time: 0.5163 memory: 13619 grad_norm: 4.7596 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8089 loss: 0.8089 2022/08/01 16:08:16 - mmengine - INFO - Epoch(train) [79][840/940] lr: 1.0000e-03 eta: 4:16:41 time: 0.6368 data_time: 0.3255 memory: 13619 grad_norm: 4.7806 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9021 loss: 0.9021 2022/08/01 16:08:34 - mmengine - INFO - Epoch(train) [79][860/940] lr: 1.0000e-03 eta: 4:16:27 time: 0.9150 data_time: 0.5811 memory: 13619 grad_norm: 4.6637 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9569 loss: 0.9569 2022/08/01 16:08:47 - mmengine - INFO - Epoch(train) [79][880/940] lr: 1.0000e-03 eta: 4:16:10 time: 0.6432 data_time: 0.3407 memory: 13619 grad_norm: 4.7301 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9454 loss: 0.9454 2022/08/01 16:09:05 - mmengine - INFO - Epoch(train) [79][900/940] lr: 1.0000e-03 eta: 4:15:55 time: 0.8697 data_time: 0.5328 memory: 13619 grad_norm: 4.7532 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9258 loss: 0.9258 2022/08/01 16:09:18 - mmengine - INFO - Epoch(train) [79][920/940] lr: 1.0000e-03 eta: 4:15:39 time: 0.6808 data_time: 0.3408 memory: 13619 grad_norm: 4.7046 top1_acc: 0.8438 top5_acc: 0.8438 loss_cls: 0.9796 loss: 0.9796 2022/08/01 16:09:32 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 16:09:32 - mmengine - INFO - Epoch(train) [79][940/940] lr: 1.0000e-03 eta: 4:15:23 time: 0.7097 data_time: 0.4238 memory: 13619 grad_norm: 4.8969 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/08/01 16:09:50 - mmengine - INFO - Epoch(val) [79][20/78] eta: 0:00:49 time: 0.8580 data_time: 0.7652 memory: 2186 2022/08/01 16:10:02 - mmengine - INFO - Epoch(val) [79][40/78] eta: 0:00:23 time: 0.6233 data_time: 0.5282 memory: 2186 2022/08/01 16:10:18 - mmengine - INFO - Epoch(val) [79][60/78] eta: 0:00:14 time: 0.8005 data_time: 0.7082 memory: 2186 2022/08/01 16:10:31 - mmengine - INFO - Epoch(val) [79][78/78] acc/top1: 0.7070 acc/top5: 0.8939 acc/mean1: 0.7069 2022/08/01 16:10:51 - mmengine - INFO - Epoch(train) [80][20/940] lr: 1.0000e-03 eta: 4:15:09 time: 0.9451 data_time: 0.5052 memory: 13619 grad_norm: 4.6461 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8405 loss: 0.8405 2022/08/01 16:11:04 - mmengine - INFO - Epoch(train) [80][40/940] lr: 1.0000e-03 eta: 4:14:53 time: 0.6675 data_time: 0.3267 memory: 13619 grad_norm: 4.6663 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9092 loss: 0.9092 2022/08/01 16:11:22 - mmengine - INFO - Epoch(train) [80][60/940] lr: 1.0000e-03 eta: 4:14:38 time: 0.8904 data_time: 0.3255 memory: 13619 grad_norm: 4.6509 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 0.8654 loss: 0.8654 2022/08/01 16:11:35 - mmengine - INFO - Epoch(train) [80][80/940] lr: 1.0000e-03 eta: 4:14:22 time: 0.6804 data_time: 0.1357 memory: 13619 grad_norm: 4.6364 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8370 loss: 0.8370 2022/08/01 16:11:52 - mmengine - INFO - Epoch(train) [80][100/940] lr: 1.0000e-03 eta: 4:14:06 time: 0.8339 data_time: 0.2329 memory: 13619 grad_norm: 4.7556 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8197 loss: 0.8197 2022/08/01 16:12:06 - mmengine - INFO - Epoch(train) [80][120/940] lr: 1.0000e-03 eta: 4:13:50 time: 0.6697 data_time: 0.2211 memory: 13619 grad_norm: 4.6219 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8554 loss: 0.8554 2022/08/01 16:12:23 - mmengine - INFO - Epoch(train) [80][140/940] lr: 1.0000e-03 eta: 4:13:35 time: 0.8667 data_time: 0.2289 memory: 13619 grad_norm: 4.6973 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8810 loss: 0.8810 2022/08/01 16:12:36 - mmengine - INFO - Epoch(train) [80][160/940] lr: 1.0000e-03 eta: 4:13:19 time: 0.6575 data_time: 0.3146 memory: 13619 grad_norm: 4.6755 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8967 loss: 0.8967 2022/08/01 16:12:53 - mmengine - INFO - Epoch(train) [80][180/940] lr: 1.0000e-03 eta: 4:13:04 time: 0.8351 data_time: 0.4558 memory: 13619 grad_norm: 4.6069 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8734 loss: 0.8734 2022/08/01 16:13:06 - mmengine - INFO - Epoch(train) [80][200/940] lr: 1.0000e-03 eta: 4:12:48 time: 0.6729 data_time: 0.2021 memory: 13619 grad_norm: 4.8232 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8866 loss: 0.8866 2022/08/01 16:13:24 - mmengine - INFO - Epoch(train) [80][220/940] lr: 1.0000e-03 eta: 4:12:33 time: 0.8585 data_time: 0.1991 memory: 13619 grad_norm: 4.6417 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9539 loss: 0.9539 2022/08/01 16:13:37 - mmengine - INFO - Epoch(train) [80][240/940] lr: 1.0000e-03 eta: 4:12:17 time: 0.6941 data_time: 0.2142 memory: 13619 grad_norm: 4.8413 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.8568 loss: 0.8568 2022/08/01 16:13:54 - mmengine - INFO - Epoch(train) [80][260/940] lr: 1.0000e-03 eta: 4:12:02 time: 0.8435 data_time: 0.2685 memory: 13619 grad_norm: 4.7339 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9576 loss: 0.9576 2022/08/01 16:14:08 - mmengine - INFO - Epoch(train) [80][280/940] lr: 1.0000e-03 eta: 4:11:46 time: 0.6739 data_time: 0.0340 memory: 13619 grad_norm: 4.4576 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8288 loss: 0.8288 2022/08/01 16:14:24 - mmengine - INFO - Epoch(train) [80][300/940] lr: 1.0000e-03 eta: 4:11:30 time: 0.8406 data_time: 0.0432 memory: 13619 grad_norm: 4.7102 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8751 loss: 0.8751 2022/08/01 16:14:38 - mmengine - INFO - Epoch(train) [80][320/940] lr: 1.0000e-03 eta: 4:11:14 time: 0.6885 data_time: 0.0292 memory: 13619 grad_norm: 4.6795 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9073 loss: 0.9073 2022/08/01 16:14:55 - mmengine - INFO - Epoch(train) [80][340/940] lr: 1.0000e-03 eta: 4:10:59 time: 0.8429 data_time: 0.0397 memory: 13619 grad_norm: 4.7358 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.8797 loss: 0.8797 2022/08/01 16:15:09 - mmengine - INFO - Epoch(train) [80][360/940] lr: 1.0000e-03 eta: 4:10:43 time: 0.6998 data_time: 0.0334 memory: 13619 grad_norm: 4.7143 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8421 loss: 0.8421 2022/08/01 16:15:27 - mmengine - INFO - Epoch(train) [80][380/940] lr: 1.0000e-03 eta: 4:10:28 time: 0.8819 data_time: 0.0542 memory: 13619 grad_norm: 4.6512 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7878 loss: 0.7878 2022/08/01 16:15:41 - mmengine - INFO - Epoch(train) [80][400/940] lr: 1.0000e-03 eta: 4:10:12 time: 0.7002 data_time: 0.0303 memory: 13619 grad_norm: 4.5661 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8436 loss: 0.8436 2022/08/01 16:15:59 - mmengine - INFO - Epoch(train) [80][420/940] lr: 1.0000e-03 eta: 4:09:58 time: 0.9188 data_time: 0.0372 memory: 13619 grad_norm: 4.6947 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9390 loss: 0.9390 2022/08/01 16:16:13 - mmengine - INFO - Epoch(train) [80][440/940] lr: 1.0000e-03 eta: 4:09:42 time: 0.6955 data_time: 0.0334 memory: 13619 grad_norm: 4.6645 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8343 loss: 0.8343 2022/08/01 16:16:30 - mmengine - INFO - Epoch(train) [80][460/940] lr: 1.0000e-03 eta: 4:09:27 time: 0.8535 data_time: 0.0393 memory: 13619 grad_norm: 4.7930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8507 loss: 0.8507 2022/08/01 16:16:44 - mmengine - INFO - Epoch(train) [80][480/940] lr: 1.0000e-03 eta: 4:09:11 time: 0.6895 data_time: 0.0342 memory: 13619 grad_norm: 4.6459 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8771 loss: 0.8771 2022/08/01 16:17:00 - mmengine - INFO - Epoch(train) [80][500/940] lr: 1.0000e-03 eta: 4:08:55 time: 0.7897 data_time: 0.0440 memory: 13619 grad_norm: 4.7835 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9502 loss: 0.9502 2022/08/01 16:17:14 - mmengine - INFO - Epoch(train) [80][520/940] lr: 1.0000e-03 eta: 4:08:39 time: 0.7360 data_time: 0.0326 memory: 13619 grad_norm: 4.6964 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9673 loss: 0.9673 2022/08/01 16:17:31 - mmengine - INFO - Epoch(train) [80][540/940] lr: 1.0000e-03 eta: 4:08:24 time: 0.8410 data_time: 0.0412 memory: 13619 grad_norm: 4.6333 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8719 loss: 0.8719 2022/08/01 16:17:45 - mmengine - INFO - Epoch(train) [80][560/940] lr: 1.0000e-03 eta: 4:08:08 time: 0.6741 data_time: 0.0338 memory: 13619 grad_norm: 4.7014 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9323 loss: 0.9323 2022/08/01 16:18:02 - mmengine - INFO - Epoch(train) [80][580/940] lr: 1.0000e-03 eta: 4:07:53 time: 0.8763 data_time: 0.0389 memory: 13619 grad_norm: 4.6158 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8367 loss: 0.8367 2022/08/01 16:18:16 - mmengine - INFO - Epoch(train) [80][600/940] lr: 1.0000e-03 eta: 4:07:37 time: 0.6939 data_time: 0.0373 memory: 13619 grad_norm: 4.6974 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.9171 loss: 0.9171 2022/08/01 16:18:33 - mmengine - INFO - Epoch(train) [80][620/940] lr: 1.0000e-03 eta: 4:07:22 time: 0.8188 data_time: 0.0394 memory: 13619 grad_norm: 4.6873 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8689 loss: 0.8689 2022/08/01 16:18:46 - mmengine - INFO - Epoch(train) [80][640/940] lr: 1.0000e-03 eta: 4:07:06 time: 0.6885 data_time: 0.0336 memory: 13619 grad_norm: 4.6789 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7541 loss: 0.7541 2022/08/01 16:19:04 - mmengine - INFO - Epoch(train) [80][660/940] lr: 1.0000e-03 eta: 4:06:51 time: 0.8947 data_time: 0.0370 memory: 13619 grad_norm: 4.6438 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 0.9712 loss: 0.9712 2022/08/01 16:19:17 - mmengine - INFO - Epoch(train) [80][680/940] lr: 1.0000e-03 eta: 4:06:35 time: 0.6507 data_time: 0.0399 memory: 13619 grad_norm: 4.6933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9520 loss: 0.9520 2022/08/01 16:19:35 - mmengine - INFO - Epoch(train) [80][700/940] lr: 1.0000e-03 eta: 4:06:20 time: 0.8804 data_time: 0.0338 memory: 13619 grad_norm: 4.6399 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8183 loss: 0.8183 2022/08/01 16:19:48 - mmengine - INFO - Epoch(train) [80][720/940] lr: 1.0000e-03 eta: 4:06:04 time: 0.6444 data_time: 0.0356 memory: 13619 grad_norm: 4.7714 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9127 loss: 0.9127 2022/08/01 16:20:05 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 16:20:05 - mmengine - INFO - Epoch(train) [80][740/940] lr: 1.0000e-03 eta: 4:05:49 time: 0.8669 data_time: 0.0432 memory: 13619 grad_norm: 4.6589 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9525 loss: 0.9525 2022/08/01 16:20:20 - mmengine - INFO - Epoch(train) [80][760/940] lr: 1.0000e-03 eta: 4:05:33 time: 0.7188 data_time: 0.0423 memory: 13619 grad_norm: 4.8284 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8650 loss: 0.8650 2022/08/01 16:20:37 - mmengine - INFO - Epoch(train) [80][780/940] lr: 1.0000e-03 eta: 4:05:18 time: 0.8568 data_time: 0.0366 memory: 13619 grad_norm: 4.6649 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8864 loss: 0.8864 2022/08/01 16:20:50 - mmengine - INFO - Epoch(train) [80][800/940] lr: 1.0000e-03 eta: 4:05:02 time: 0.6733 data_time: 0.0357 memory: 13619 grad_norm: 4.8443 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8684 loss: 0.8684 2022/08/01 16:21:05 - mmengine - INFO - Epoch(train) [80][820/940] lr: 1.0000e-03 eta: 4:04:46 time: 0.7628 data_time: 0.0351 memory: 13619 grad_norm: 4.7340 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8222 loss: 0.8222 2022/08/01 16:21:19 - mmengine - INFO - Epoch(train) [80][840/940] lr: 1.0000e-03 eta: 4:04:30 time: 0.6577 data_time: 0.0392 memory: 13619 grad_norm: 4.7348 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8296 loss: 0.8296 2022/08/01 16:21:35 - mmengine - INFO - Epoch(train) [80][860/940] lr: 1.0000e-03 eta: 4:04:15 time: 0.8313 data_time: 0.0428 memory: 13619 grad_norm: 4.7415 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7986 loss: 0.7986 2022/08/01 16:21:50 - mmengine - INFO - Epoch(train) [80][880/940] lr: 1.0000e-03 eta: 4:03:59 time: 0.7327 data_time: 0.0453 memory: 13619 grad_norm: 4.8074 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8645 loss: 0.8645 2022/08/01 16:22:07 - mmengine - INFO - Epoch(train) [80][900/940] lr: 1.0000e-03 eta: 4:03:44 time: 0.8791 data_time: 0.0481 memory: 13619 grad_norm: 4.6154 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9489 loss: 0.9489 2022/08/01 16:22:21 - mmengine - INFO - Epoch(train) [80][920/940] lr: 1.0000e-03 eta: 4:03:28 time: 0.6871 data_time: 0.0319 memory: 13619 grad_norm: 4.7856 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0039 loss: 1.0039 2022/08/01 16:22:38 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 16:22:38 - mmengine - INFO - Epoch(train) [80][940/940] lr: 1.0000e-03 eta: 4:03:13 time: 0.8158 data_time: 0.0219 memory: 13619 grad_norm: 5.1479 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.9882 loss: 0.9882 2022/08/01 16:22:55 - mmengine - INFO - Epoch(val) [80][20/78] eta: 0:00:50 time: 0.8714 data_time: 0.7766 memory: 2186 2022/08/01 16:23:07 - mmengine - INFO - Epoch(val) [80][40/78] eta: 0:00:22 time: 0.5923 data_time: 0.4925 memory: 2186 2022/08/01 16:23:24 - mmengine - INFO - Epoch(val) [80][60/78] eta: 0:00:15 time: 0.8348 data_time: 0.7399 memory: 2186 2022/08/01 16:23:37 - mmengine - INFO - Epoch(val) [80][78/78] acc/top1: 0.7064 acc/top5: 0.8930 acc/mean1: 0.7063 2022/08/01 16:23:57 - mmengine - INFO - Epoch(train) [81][20/940] lr: 1.0000e-04 eta: 4:02:58 time: 1.0008 data_time: 0.5453 memory: 13619 grad_norm: 4.6346 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8700 loss: 0.8700 2022/08/01 16:24:12 - mmengine - INFO - Epoch(train) [81][40/940] lr: 1.0000e-04 eta: 4:02:42 time: 0.7384 data_time: 0.1490 memory: 13619 grad_norm: 4.6167 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8682 loss: 0.8682 2022/08/01 16:24:29 - mmengine - INFO - Epoch(train) [81][60/940] lr: 1.0000e-04 eta: 4:02:27 time: 0.8249 data_time: 0.0556 memory: 13619 grad_norm: 4.7442 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8602 loss: 0.8602 2022/08/01 16:24:42 - mmengine - INFO - Epoch(train) [81][80/940] lr: 1.0000e-04 eta: 4:02:11 time: 0.6790 data_time: 0.0937 memory: 13619 grad_norm: 4.6922 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9226 loss: 0.9226 2022/08/01 16:24:59 - mmengine - INFO - Epoch(train) [81][100/940] lr: 1.0000e-04 eta: 4:01:56 time: 0.8477 data_time: 0.1193 memory: 13619 grad_norm: 4.7200 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8717 loss: 0.8717 2022/08/01 16:25:12 - mmengine - INFO - Epoch(train) [81][120/940] lr: 1.0000e-04 eta: 4:01:40 time: 0.6619 data_time: 0.0743 memory: 13619 grad_norm: 4.6738 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9072 loss: 0.9072 2022/08/01 16:25:29 - mmengine - INFO - Epoch(train) [81][140/940] lr: 1.0000e-04 eta: 4:01:25 time: 0.8549 data_time: 0.0516 memory: 13619 grad_norm: 4.6362 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8760 loss: 0.8760 2022/08/01 16:25:43 - mmengine - INFO - Epoch(train) [81][160/940] lr: 1.0000e-04 eta: 4:01:09 time: 0.6789 data_time: 0.0643 memory: 13619 grad_norm: 4.7576 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.9193 loss: 0.9193 2022/08/01 16:26:00 - mmengine - INFO - Epoch(train) [81][180/940] lr: 1.0000e-04 eta: 4:00:54 time: 0.8548 data_time: 0.1661 memory: 13619 grad_norm: 4.5916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8497 loss: 0.8497 2022/08/01 16:26:13 - mmengine - INFO - Epoch(train) [81][200/940] lr: 1.0000e-04 eta: 4:00:38 time: 0.6632 data_time: 0.0885 memory: 13619 grad_norm: 4.6414 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7806 loss: 0.7806 2022/08/01 16:26:30 - mmengine - INFO - Epoch(train) [81][220/940] lr: 1.0000e-04 eta: 4:00:22 time: 0.8175 data_time: 0.1343 memory: 13619 grad_norm: 4.6076 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9237 loss: 0.9237 2022/08/01 16:26:42 - mmengine - INFO - Epoch(train) [81][240/940] lr: 1.0000e-04 eta: 4:00:06 time: 0.6350 data_time: 0.1234 memory: 13619 grad_norm: 4.6858 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8288 loss: 0.8288 2022/08/01 16:27:00 - mmengine - INFO - Epoch(train) [81][260/940] lr: 1.0000e-04 eta: 3:59:51 time: 0.8786 data_time: 0.3771 memory: 13619 grad_norm: 4.7016 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8698 loss: 0.8698 2022/08/01 16:27:14 - mmengine - INFO - Epoch(train) [81][280/940] lr: 1.0000e-04 eta: 3:59:35 time: 0.7004 data_time: 0.2446 memory: 13619 grad_norm: 4.7740 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8679 loss: 0.8679 2022/08/01 16:27:32 - mmengine - INFO - Epoch(train) [81][300/940] lr: 1.0000e-04 eta: 3:59:20 time: 0.8823 data_time: 0.2406 memory: 13619 grad_norm: 4.8093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8379 loss: 0.8379 2022/08/01 16:27:45 - mmengine - INFO - Epoch(train) [81][320/940] lr: 1.0000e-04 eta: 3:59:04 time: 0.6557 data_time: 0.1365 memory: 13619 grad_norm: 4.5937 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0137 loss: 1.0137 2022/08/01 16:28:02 - mmengine - INFO - Epoch(train) [81][340/940] lr: 1.0000e-04 eta: 3:58:49 time: 0.8402 data_time: 0.0478 memory: 13619 grad_norm: 4.6161 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8954 loss: 0.8954 2022/08/01 16:28:16 - mmengine - INFO - Epoch(train) [81][360/940] lr: 1.0000e-04 eta: 3:58:33 time: 0.7039 data_time: 0.0737 memory: 13619 grad_norm: 4.6309 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8851 loss: 0.8851 2022/08/01 16:28:32 - mmengine - INFO - Epoch(train) [81][380/940] lr: 1.0000e-04 eta: 3:58:18 time: 0.8210 data_time: 0.1196 memory: 13619 grad_norm: 4.5662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9487 loss: 0.9487 2022/08/01 16:28:46 - mmengine - INFO - Epoch(train) [81][400/940] lr: 1.0000e-04 eta: 3:58:02 time: 0.6962 data_time: 0.1024 memory: 13619 grad_norm: 4.7209 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8651 loss: 0.8651 2022/08/01 16:29:03 - mmengine - INFO - Epoch(train) [81][420/940] lr: 1.0000e-04 eta: 3:57:47 time: 0.8605 data_time: 0.0657 memory: 13619 grad_norm: 4.7738 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8779 loss: 0.8779 2022/08/01 16:29:17 - mmengine - INFO - Epoch(train) [81][440/940] lr: 1.0000e-04 eta: 3:57:31 time: 0.6824 data_time: 0.0307 memory: 13619 grad_norm: 4.6989 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9122 loss: 0.9122 2022/08/01 16:29:34 - mmengine - INFO - Epoch(train) [81][460/940] lr: 1.0000e-04 eta: 3:57:15 time: 0.8642 data_time: 0.0390 memory: 13619 grad_norm: 4.6997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8590 loss: 0.8590 2022/08/01 16:29:48 - mmengine - INFO - Epoch(train) [81][480/940] lr: 1.0000e-04 eta: 3:56:59 time: 0.6830 data_time: 0.0366 memory: 13619 grad_norm: 4.6346 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8212 loss: 0.8212 2022/08/01 16:30:05 - mmengine - INFO - Epoch(train) [81][500/940] lr: 1.0000e-04 eta: 3:56:44 time: 0.8549 data_time: 0.0405 memory: 13619 grad_norm: 4.6203 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8447 loss: 0.8447 2022/08/01 16:30:18 - mmengine - INFO - Epoch(train) [81][520/940] lr: 1.0000e-04 eta: 3:56:28 time: 0.6588 data_time: 0.0411 memory: 13619 grad_norm: 4.6565 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9136 loss: 0.9136 2022/08/01 16:30:35 - mmengine - INFO - Epoch(train) [81][540/940] lr: 1.0000e-04 eta: 3:56:13 time: 0.8548 data_time: 0.0408 memory: 13619 grad_norm: 4.6582 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9119 loss: 0.9119 2022/08/01 16:30:50 - mmengine - INFO - Epoch(train) [81][560/940] lr: 1.0000e-04 eta: 3:55:57 time: 0.7078 data_time: 0.0413 memory: 13619 grad_norm: 4.6310 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8517 loss: 0.8517 2022/08/01 16:31:07 - mmengine - INFO - Epoch(train) [81][580/940] lr: 1.0000e-04 eta: 3:55:42 time: 0.8601 data_time: 0.0376 memory: 13619 grad_norm: 4.6466 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7784 loss: 0.7784 2022/08/01 16:31:21 - mmengine - INFO - Epoch(train) [81][600/940] lr: 1.0000e-04 eta: 3:55:26 time: 0.7091 data_time: 0.0292 memory: 13619 grad_norm: 4.6521 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8476 loss: 0.8476 2022/08/01 16:31:36 - mmengine - INFO - Epoch(train) [81][620/940] lr: 1.0000e-04 eta: 3:55:11 time: 0.7525 data_time: 0.0389 memory: 13619 grad_norm: 4.6548 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.8426 loss: 0.8426 2022/08/01 16:31:49 - mmengine - INFO - Epoch(train) [81][640/940] lr: 1.0000e-04 eta: 3:54:55 time: 0.6732 data_time: 0.0385 memory: 13619 grad_norm: 4.8022 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8546 loss: 0.8546 2022/08/01 16:32:08 - mmengine - INFO - Epoch(train) [81][660/940] lr: 1.0000e-04 eta: 3:54:40 time: 0.9090 data_time: 0.0371 memory: 13619 grad_norm: 4.5949 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7837 loss: 0.7837 2022/08/01 16:32:21 - mmengine - INFO - Epoch(train) [81][680/940] lr: 1.0000e-04 eta: 3:54:24 time: 0.6714 data_time: 0.0331 memory: 13619 grad_norm: 4.7121 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8858 loss: 0.8858 2022/08/01 16:32:39 - mmengine - INFO - Epoch(train) [81][700/940] lr: 1.0000e-04 eta: 3:54:09 time: 0.9031 data_time: 0.0426 memory: 13619 grad_norm: 4.6706 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8583 loss: 0.8583 2022/08/01 16:32:52 - mmengine - INFO - Epoch(train) [81][720/940] lr: 1.0000e-04 eta: 3:53:53 time: 0.6326 data_time: 0.0300 memory: 13619 grad_norm: 4.6334 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8756 loss: 0.8756 2022/08/01 16:33:09 - mmengine - INFO - Epoch(train) [81][740/940] lr: 1.0000e-04 eta: 3:53:37 time: 0.8387 data_time: 0.0415 memory: 13619 grad_norm: 4.6759 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 0.9440 loss: 0.9440 2022/08/01 16:33:22 - mmengine - INFO - Epoch(train) [81][760/940] lr: 1.0000e-04 eta: 3:53:21 time: 0.6514 data_time: 0.0341 memory: 13619 grad_norm: 4.5619 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8608 loss: 0.8608 2022/08/01 16:33:39 - mmengine - INFO - Epoch(train) [81][780/940] lr: 1.0000e-04 eta: 3:53:06 time: 0.8838 data_time: 0.0533 memory: 13619 grad_norm: 4.6573 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.8228 loss: 0.8228 2022/08/01 16:33:53 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 16:33:53 - mmengine - INFO - Epoch(train) [81][800/940] lr: 1.0000e-04 eta: 3:52:50 time: 0.7040 data_time: 0.0877 memory: 13619 grad_norm: 4.5666 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8289 loss: 0.8289 2022/08/01 16:34:11 - mmengine - INFO - Epoch(train) [81][820/940] lr: 1.0000e-04 eta: 3:52:35 time: 0.8762 data_time: 0.0402 memory: 13619 grad_norm: 4.6796 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8270 loss: 0.8270 2022/08/01 16:34:25 - mmengine - INFO - Epoch(train) [81][840/940] lr: 1.0000e-04 eta: 3:52:19 time: 0.6863 data_time: 0.0387 memory: 13619 grad_norm: 4.6334 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7577 loss: 0.7577 2022/08/01 16:34:42 - mmengine - INFO - Epoch(train) [81][860/940] lr: 1.0000e-04 eta: 3:52:04 time: 0.8416 data_time: 0.0379 memory: 13619 grad_norm: 4.6953 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9495 loss: 0.9495 2022/08/01 16:34:56 - mmengine - INFO - Epoch(train) [81][880/940] lr: 1.0000e-04 eta: 3:51:48 time: 0.7041 data_time: 0.0308 memory: 13619 grad_norm: 4.6962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0167 loss: 1.0167 2022/08/01 16:35:12 - mmengine - INFO - Epoch(train) [81][900/940] lr: 1.0000e-04 eta: 3:51:33 time: 0.8168 data_time: 0.0354 memory: 13619 grad_norm: 4.6578 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0001 loss: 1.0001 2022/08/01 16:35:25 - mmengine - INFO - Epoch(train) [81][920/940] lr: 1.0000e-04 eta: 3:51:17 time: 0.6547 data_time: 0.0336 memory: 13619 grad_norm: 4.6554 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8760 loss: 0.8760 2022/08/01 16:35:39 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 16:35:40 - mmengine - INFO - Epoch(train) [81][940/940] lr: 1.0000e-04 eta: 3:51:01 time: 0.7212 data_time: 0.0254 memory: 13619 grad_norm: 4.9390 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.8605 loss: 0.8605 2022/08/01 16:35:40 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/08/01 16:36:00 - mmengine - INFO - Epoch(val) [81][20/78] eta: 0:00:51 time: 0.8922 data_time: 0.7996 memory: 2186 2022/08/01 16:36:12 - mmengine - INFO - Epoch(val) [81][40/78] eta: 0:00:23 time: 0.6082 data_time: 0.5152 memory: 2186 2022/08/01 16:36:28 - mmengine - INFO - Epoch(val) [81][60/78] eta: 0:00:14 time: 0.8143 data_time: 0.7224 memory: 2186 2022/08/01 16:36:40 - mmengine - INFO - Epoch(val) [81][78/78] acc/top1: 0.7089 acc/top5: 0.8938 acc/mean1: 0.7088 2022/08/01 16:37:00 - mmengine - INFO - Epoch(train) [82][20/940] lr: 1.0000e-04 eta: 3:50:47 time: 0.9837 data_time: 0.6168 memory: 13619 grad_norm: 4.7435 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8964 loss: 0.8964 2022/08/01 16:37:14 - mmengine - INFO - Epoch(train) [82][40/940] lr: 1.0000e-04 eta: 3:50:31 time: 0.6970 data_time: 0.2882 memory: 13619 grad_norm: 4.7573 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9037 loss: 0.9037 2022/08/01 16:37:32 - mmengine - INFO - Epoch(train) [82][60/940] lr: 1.0000e-04 eta: 3:50:16 time: 0.9225 data_time: 0.3243 memory: 13619 grad_norm: 4.6089 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9067 loss: 0.9067 2022/08/01 16:37:45 - mmengine - INFO - Epoch(train) [82][80/940] lr: 1.0000e-04 eta: 3:50:00 time: 0.6441 data_time: 0.0970 memory: 13619 grad_norm: 4.7038 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8720 loss: 0.8720 2022/08/01 16:38:02 - mmengine - INFO - Epoch(train) [82][100/940] lr: 1.0000e-04 eta: 3:49:44 time: 0.8446 data_time: 0.1755 memory: 13619 grad_norm: 4.6401 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8224 loss: 0.8224 2022/08/01 16:38:16 - mmengine - INFO - Epoch(train) [82][120/940] lr: 1.0000e-04 eta: 3:49:29 time: 0.6976 data_time: 0.1408 memory: 13619 grad_norm: 4.7812 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9693 loss: 0.9693 2022/08/01 16:38:33 - mmengine - INFO - Epoch(train) [82][140/940] lr: 1.0000e-04 eta: 3:49:13 time: 0.8583 data_time: 0.1938 memory: 13619 grad_norm: 4.7125 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7935 loss: 0.7935 2022/08/01 16:38:47 - mmengine - INFO - Epoch(train) [82][160/940] lr: 1.0000e-04 eta: 3:48:57 time: 0.6720 data_time: 0.1635 memory: 13619 grad_norm: 4.6486 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8555 loss: 0.8555 2022/08/01 16:39:03 - mmengine - INFO - Epoch(train) [82][180/940] lr: 1.0000e-04 eta: 3:48:42 time: 0.8058 data_time: 0.3906 memory: 13619 grad_norm: 4.6570 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8247 loss: 0.8247 2022/08/01 16:39:16 - mmengine - INFO - Epoch(train) [82][200/940] lr: 1.0000e-04 eta: 3:48:26 time: 0.6567 data_time: 0.3510 memory: 13619 grad_norm: 4.6147 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9513 loss: 0.9513 2022/08/01 16:39:33 - mmengine - INFO - Epoch(train) [82][220/940] lr: 1.0000e-04 eta: 3:48:11 time: 0.8398 data_time: 0.5230 memory: 13619 grad_norm: 4.6229 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7319 loss: 0.7319 2022/08/01 16:39:46 - mmengine - INFO - Epoch(train) [82][240/940] lr: 1.0000e-04 eta: 3:47:55 time: 0.6670 data_time: 0.3315 memory: 13619 grad_norm: 4.7167 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8838 loss: 0.8838 2022/08/01 16:40:04 - mmengine - INFO - Epoch(train) [82][260/940] lr: 1.0000e-04 eta: 3:47:40 time: 0.8764 data_time: 0.4537 memory: 13619 grad_norm: 4.6591 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9092 loss: 0.9092 2022/08/01 16:40:17 - mmengine - INFO - Epoch(train) [82][280/940] lr: 1.0000e-04 eta: 3:47:24 time: 0.6577 data_time: 0.2706 memory: 13619 grad_norm: 4.6886 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9632 loss: 0.9632 2022/08/01 16:40:34 - mmengine - INFO - Epoch(train) [82][300/940] lr: 1.0000e-04 eta: 3:47:08 time: 0.8519 data_time: 0.1985 memory: 13619 grad_norm: 4.7277 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8752 loss: 0.8752 2022/08/01 16:40:47 - mmengine - INFO - Epoch(train) [82][320/940] lr: 1.0000e-04 eta: 3:46:52 time: 0.6489 data_time: 0.1931 memory: 13619 grad_norm: 4.7038 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8129 loss: 0.8129 2022/08/01 16:41:05 - mmengine - INFO - Epoch(train) [82][340/940] lr: 1.0000e-04 eta: 3:46:37 time: 0.9056 data_time: 0.2503 memory: 13619 grad_norm: 4.6648 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8312 loss: 0.8312 2022/08/01 16:41:18 - mmengine - INFO - Epoch(train) [82][360/940] lr: 1.0000e-04 eta: 3:46:21 time: 0.6629 data_time: 0.1199 memory: 13619 grad_norm: 4.5950 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9976 loss: 0.9976 2022/08/01 16:41:35 - mmengine - INFO - Epoch(train) [82][380/940] lr: 1.0000e-04 eta: 3:46:06 time: 0.8442 data_time: 0.2040 memory: 13619 grad_norm: 4.5860 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8455 loss: 0.8455 2022/08/01 16:41:49 - mmengine - INFO - Epoch(train) [82][400/940] lr: 1.0000e-04 eta: 3:45:50 time: 0.6650 data_time: 0.1641 memory: 13619 grad_norm: 4.7148 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7486 loss: 0.7486 2022/08/01 16:42:06 - mmengine - INFO - Epoch(train) [82][420/940] lr: 1.0000e-04 eta: 3:45:35 time: 0.8653 data_time: 0.1888 memory: 13619 grad_norm: 4.5959 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8415 loss: 0.8415 2022/08/01 16:42:20 - mmengine - INFO - Epoch(train) [82][440/940] lr: 1.0000e-04 eta: 3:45:19 time: 0.6990 data_time: 0.1068 memory: 13619 grad_norm: 4.6692 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8998 loss: 0.8998 2022/08/01 16:42:37 - mmengine - INFO - Epoch(train) [82][460/940] lr: 1.0000e-04 eta: 3:45:04 time: 0.8375 data_time: 0.1948 memory: 13619 grad_norm: 4.6169 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8901 loss: 0.8901 2022/08/01 16:42:50 - mmengine - INFO - Epoch(train) [82][480/940] lr: 1.0000e-04 eta: 3:44:48 time: 0.6699 data_time: 0.0880 memory: 13619 grad_norm: 4.5090 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7451 loss: 0.7451 2022/08/01 16:43:08 - mmengine - INFO - Epoch(train) [82][500/940] lr: 1.0000e-04 eta: 3:44:33 time: 0.8987 data_time: 0.1303 memory: 13619 grad_norm: 4.6086 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.7819 loss: 0.7819 2022/08/01 16:43:21 - mmengine - INFO - Epoch(train) [82][520/940] lr: 1.0000e-04 eta: 3:44:17 time: 0.6454 data_time: 0.0963 memory: 13619 grad_norm: 4.7633 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8130 loss: 0.8130 2022/08/01 16:43:37 - mmengine - INFO - Epoch(train) [82][540/940] lr: 1.0000e-04 eta: 3:44:01 time: 0.8078 data_time: 0.2786 memory: 13619 grad_norm: 4.5995 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8035 loss: 0.8035 2022/08/01 16:43:51 - mmengine - INFO - Epoch(train) [82][560/940] lr: 1.0000e-04 eta: 3:43:46 time: 0.7065 data_time: 0.2315 memory: 13619 grad_norm: 4.7418 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8206 loss: 0.8206 2022/08/01 16:44:09 - mmengine - INFO - Epoch(train) [82][580/940] lr: 1.0000e-04 eta: 3:43:30 time: 0.8671 data_time: 0.1445 memory: 13619 grad_norm: 4.6470 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7904 loss: 0.7904 2022/08/01 16:44:22 - mmengine - INFO - Epoch(train) [82][600/940] lr: 1.0000e-04 eta: 3:43:14 time: 0.6585 data_time: 0.1858 memory: 13619 grad_norm: 4.7785 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8111 loss: 0.8111 2022/08/01 16:44:40 - mmengine - INFO - Epoch(train) [82][620/940] lr: 1.0000e-04 eta: 3:42:59 time: 0.9138 data_time: 0.2951 memory: 13619 grad_norm: 4.6389 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7847 loss: 0.7847 2022/08/01 16:44:54 - mmengine - INFO - Epoch(train) [82][640/940] lr: 1.0000e-04 eta: 3:42:44 time: 0.7110 data_time: 0.0363 memory: 13619 grad_norm: 4.6957 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9224 loss: 0.9224 2022/08/01 16:45:12 - mmengine - INFO - Epoch(train) [82][660/940] lr: 1.0000e-04 eta: 3:42:29 time: 0.8661 data_time: 0.0343 memory: 13619 grad_norm: 4.6482 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8075 loss: 0.8075 2022/08/01 16:45:25 - mmengine - INFO - Epoch(train) [82][680/940] lr: 1.0000e-04 eta: 3:42:13 time: 0.6920 data_time: 0.0373 memory: 13619 grad_norm: 4.5702 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8421 loss: 0.8421 2022/08/01 16:45:41 - mmengine - INFO - Epoch(train) [82][700/940] lr: 1.0000e-04 eta: 3:41:57 time: 0.7875 data_time: 0.0398 memory: 13619 grad_norm: 4.6750 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8318 loss: 0.8318 2022/08/01 16:45:55 - mmengine - INFO - Epoch(train) [82][720/940] lr: 1.0000e-04 eta: 3:41:41 time: 0.6699 data_time: 0.0376 memory: 13619 grad_norm: 4.6910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8722 loss: 0.8722 2022/08/01 16:46:11 - mmengine - INFO - Epoch(train) [82][740/940] lr: 1.0000e-04 eta: 3:41:26 time: 0.8259 data_time: 0.0371 memory: 13619 grad_norm: 4.7331 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9675 loss: 0.9675 2022/08/01 16:46:25 - mmengine - INFO - Epoch(train) [82][760/940] lr: 1.0000e-04 eta: 3:41:10 time: 0.6929 data_time: 0.0414 memory: 13619 grad_norm: 4.6706 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8968 loss: 0.8968 2022/08/01 16:46:42 - mmengine - INFO - Epoch(train) [82][780/940] lr: 1.0000e-04 eta: 3:40:55 time: 0.8653 data_time: 0.0308 memory: 13619 grad_norm: 4.6826 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8065 loss: 0.8065 2022/08/01 16:46:56 - mmengine - INFO - Epoch(train) [82][800/940] lr: 1.0000e-04 eta: 3:40:39 time: 0.6754 data_time: 0.0377 memory: 13619 grad_norm: 4.7530 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9182 loss: 0.9182 2022/08/01 16:47:13 - mmengine - INFO - Epoch(train) [82][820/940] lr: 1.0000e-04 eta: 3:40:24 time: 0.8518 data_time: 0.0425 memory: 13619 grad_norm: 4.6146 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8826 loss: 0.8826 2022/08/01 16:47:26 - mmengine - INFO - Epoch(train) [82][840/940] lr: 1.0000e-04 eta: 3:40:08 time: 0.6505 data_time: 0.0425 memory: 13619 grad_norm: 4.6284 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7724 loss: 0.7724 2022/08/01 16:47:44 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 16:47:44 - mmengine - INFO - Epoch(train) [82][860/940] lr: 1.0000e-04 eta: 3:39:53 time: 0.8779 data_time: 0.0370 memory: 13619 grad_norm: 4.5699 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8233 loss: 0.8233 2022/08/01 16:47:56 - mmengine - INFO - Epoch(train) [82][880/940] lr: 1.0000e-04 eta: 3:39:36 time: 0.6355 data_time: 0.0474 memory: 13619 grad_norm: 4.6571 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7732 loss: 0.7732 2022/08/01 16:48:13 - mmengine - INFO - Epoch(train) [82][900/940] lr: 1.0000e-04 eta: 3:39:21 time: 0.8586 data_time: 0.0413 memory: 13619 grad_norm: 4.7930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9578 loss: 0.9578 2022/08/01 16:48:27 - mmengine - INFO - Epoch(train) [82][920/940] lr: 1.0000e-04 eta: 3:39:05 time: 0.6805 data_time: 0.0361 memory: 13619 grad_norm: 4.6354 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8667 loss: 0.8667 2022/08/01 16:48:41 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 16:48:41 - mmengine - INFO - Epoch(train) [82][940/940] lr: 1.0000e-04 eta: 3:38:49 time: 0.6816 data_time: 0.0288 memory: 13619 grad_norm: 4.9028 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8915 loss: 0.8915 2022/08/01 16:48:58 - mmengine - INFO - Epoch(val) [82][20/78] eta: 0:00:50 time: 0.8672 data_time: 0.7736 memory: 2186 2022/08/01 16:49:10 - mmengine - INFO - Epoch(val) [82][40/78] eta: 0:00:22 time: 0.5944 data_time: 0.4864 memory: 2186 2022/08/01 16:49:26 - mmengine - INFO - Epoch(val) [82][60/78] eta: 0:00:14 time: 0.8201 data_time: 0.7213 memory: 2186 2022/08/01 16:49:40 - mmengine - INFO - Epoch(val) [82][78/78] acc/top1: 0.7087 acc/top5: 0.8938 acc/mean1: 0.7086 2022/08/01 16:50:00 - mmengine - INFO - Epoch(train) [83][20/940] lr: 1.0000e-04 eta: 3:38:35 time: 0.9821 data_time: 0.5392 memory: 13619 grad_norm: 4.6009 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8448 loss: 0.8448 2022/08/01 16:50:13 - mmengine - INFO - Epoch(train) [83][40/940] lr: 1.0000e-04 eta: 3:38:19 time: 0.6592 data_time: 0.2633 memory: 13619 grad_norm: 4.6224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8128 loss: 0.8128 2022/08/01 16:50:30 - mmengine - INFO - Epoch(train) [83][60/940] lr: 1.0000e-04 eta: 3:38:04 time: 0.8573 data_time: 0.4077 memory: 13619 grad_norm: 4.7665 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9170 loss: 0.9170 2022/08/01 16:50:44 - mmengine - INFO - Epoch(train) [83][80/940] lr: 1.0000e-04 eta: 3:37:48 time: 0.7127 data_time: 0.3116 memory: 13619 grad_norm: 4.6097 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9140 loss: 0.9140 2022/08/01 16:51:00 - mmengine - INFO - Epoch(train) [83][100/940] lr: 1.0000e-04 eta: 3:37:32 time: 0.7881 data_time: 0.4490 memory: 13619 grad_norm: 4.7243 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7510 loss: 0.7510 2022/08/01 16:51:14 - mmengine - INFO - Epoch(train) [83][120/940] lr: 1.0000e-04 eta: 3:37:16 time: 0.6743 data_time: 0.3457 memory: 13619 grad_norm: 4.6158 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8778 loss: 0.8778 2022/08/01 16:51:31 - mmengine - INFO - Epoch(train) [83][140/940] lr: 1.0000e-04 eta: 3:37:01 time: 0.8524 data_time: 0.4012 memory: 13619 grad_norm: 4.6657 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8789 loss: 0.8789 2022/08/01 16:51:44 - mmengine - INFO - Epoch(train) [83][160/940] lr: 1.0000e-04 eta: 3:36:45 time: 0.6819 data_time: 0.2513 memory: 13619 grad_norm: 4.5062 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7683 loss: 0.7683 2022/08/01 16:52:03 - mmengine - INFO - Epoch(train) [83][180/940] lr: 1.0000e-04 eta: 3:36:30 time: 0.9317 data_time: 0.3018 memory: 13619 grad_norm: 4.6323 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8470 loss: 0.8470 2022/08/01 16:52:16 - mmengine - INFO - Epoch(train) [83][200/940] lr: 1.0000e-04 eta: 3:36:14 time: 0.6807 data_time: 0.0301 memory: 13619 grad_norm: 4.6530 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8385 loss: 0.8385 2022/08/01 16:52:33 - mmengine - INFO - Epoch(train) [83][220/940] lr: 1.0000e-04 eta: 3:35:59 time: 0.8180 data_time: 0.0392 memory: 13619 grad_norm: 4.5794 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8214 loss: 0.8214 2022/08/01 16:52:47 - mmengine - INFO - Epoch(train) [83][240/940] lr: 1.0000e-04 eta: 3:35:43 time: 0.7153 data_time: 0.0630 memory: 13619 grad_norm: 4.7598 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.8989 loss: 0.8989 2022/08/01 16:53:04 - mmengine - INFO - Epoch(train) [83][260/940] lr: 1.0000e-04 eta: 3:35:28 time: 0.8474 data_time: 0.0582 memory: 13619 grad_norm: 4.7022 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8830 loss: 0.8830 2022/08/01 16:53:17 - mmengine - INFO - Epoch(train) [83][280/940] lr: 1.0000e-04 eta: 3:35:12 time: 0.6479 data_time: 0.0611 memory: 13619 grad_norm: 4.6637 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9650 loss: 0.9650 2022/08/01 16:53:35 - mmengine - INFO - Epoch(train) [83][300/940] lr: 1.0000e-04 eta: 3:34:57 time: 0.8763 data_time: 0.1140 memory: 13619 grad_norm: 4.5620 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8731 loss: 0.8731 2022/08/01 16:53:48 - mmengine - INFO - Epoch(train) [83][320/940] lr: 1.0000e-04 eta: 3:34:41 time: 0.6747 data_time: 0.0837 memory: 13619 grad_norm: 4.5874 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7981 loss: 0.7981 2022/08/01 16:54:06 - mmengine - INFO - Epoch(train) [83][340/940] lr: 1.0000e-04 eta: 3:34:26 time: 0.9091 data_time: 0.0376 memory: 13619 grad_norm: 4.6957 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8362 loss: 0.8362 2022/08/01 16:54:18 - mmengine - INFO - Epoch(train) [83][360/940] lr: 1.0000e-04 eta: 3:34:10 time: 0.6094 data_time: 0.0343 memory: 13619 grad_norm: 4.5907 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8620 loss: 0.8620 2022/08/01 16:54:36 - mmengine - INFO - Epoch(train) [83][380/940] lr: 1.0000e-04 eta: 3:33:55 time: 0.8634 data_time: 0.0403 memory: 13619 grad_norm: 4.4734 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8050 loss: 0.8050 2022/08/01 16:54:49 - mmengine - INFO - Epoch(train) [83][400/940] lr: 1.0000e-04 eta: 3:33:39 time: 0.6550 data_time: 0.0412 memory: 13619 grad_norm: 4.4478 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8192 loss: 0.8192 2022/08/01 16:55:06 - mmengine - INFO - Epoch(train) [83][420/940] lr: 1.0000e-04 eta: 3:33:24 time: 0.8680 data_time: 0.0384 memory: 13619 grad_norm: 4.6308 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8728 loss: 0.8728 2022/08/01 16:55:20 - mmengine - INFO - Epoch(train) [83][440/940] lr: 1.0000e-04 eta: 3:33:08 time: 0.6718 data_time: 0.0358 memory: 13619 grad_norm: 4.6442 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7620 loss: 0.7620 2022/08/01 16:55:37 - mmengine - INFO - Epoch(train) [83][460/940] lr: 1.0000e-04 eta: 3:32:52 time: 0.8639 data_time: 0.0389 memory: 13619 grad_norm: 4.6101 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9704 loss: 0.9704 2022/08/01 16:55:51 - mmengine - INFO - Epoch(train) [83][480/940] lr: 1.0000e-04 eta: 3:32:37 time: 0.6957 data_time: 0.0399 memory: 13619 grad_norm: 4.7494 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8827 loss: 0.8827 2022/08/01 16:56:08 - mmengine - INFO - Epoch(train) [83][500/940] lr: 1.0000e-04 eta: 3:32:21 time: 0.8370 data_time: 0.0405 memory: 13619 grad_norm: 4.7384 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8539 loss: 0.8539 2022/08/01 16:56:21 - mmengine - INFO - Epoch(train) [83][520/940] lr: 1.0000e-04 eta: 3:32:05 time: 0.6754 data_time: 0.0473 memory: 13619 grad_norm: 4.6176 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9438 loss: 0.9438 2022/08/01 16:56:39 - mmengine - INFO - Epoch(train) [83][540/940] lr: 1.0000e-04 eta: 3:31:50 time: 0.8851 data_time: 0.0413 memory: 13619 grad_norm: 4.6327 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8506 loss: 0.8506 2022/08/01 16:56:52 - mmengine - INFO - Epoch(train) [83][560/940] lr: 1.0000e-04 eta: 3:31:34 time: 0.6524 data_time: 0.0380 memory: 13619 grad_norm: 4.6726 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8188 loss: 0.8188 2022/08/01 16:57:08 - mmengine - INFO - Epoch(train) [83][580/940] lr: 1.0000e-04 eta: 3:31:19 time: 0.7905 data_time: 0.0392 memory: 13619 grad_norm: 4.6486 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9153 loss: 0.9153 2022/08/01 16:57:22 - mmengine - INFO - Epoch(train) [83][600/940] lr: 1.0000e-04 eta: 3:31:03 time: 0.7092 data_time: 0.0364 memory: 13619 grad_norm: 4.5895 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/01 16:57:38 - mmengine - INFO - Epoch(train) [83][620/940] lr: 1.0000e-04 eta: 3:30:48 time: 0.8207 data_time: 0.0379 memory: 13619 grad_norm: 4.6504 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8334 loss: 0.8334 2022/08/01 16:57:54 - mmengine - INFO - Epoch(train) [83][640/940] lr: 1.0000e-04 eta: 3:30:32 time: 0.7643 data_time: 0.0460 memory: 13619 grad_norm: 4.6310 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8813 loss: 0.8813 2022/08/01 16:58:08 - mmengine - INFO - Epoch(train) [83][660/940] lr: 1.0000e-04 eta: 3:30:16 time: 0.7334 data_time: 0.0762 memory: 13619 grad_norm: 4.6613 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8688 loss: 0.8688 2022/08/01 16:58:24 - mmengine - INFO - Epoch(train) [83][680/940] lr: 1.0000e-04 eta: 3:30:01 time: 0.7842 data_time: 0.0394 memory: 13619 grad_norm: 4.5933 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7272 loss: 0.7272 2022/08/01 16:58:41 - mmengine - INFO - Epoch(train) [83][700/940] lr: 1.0000e-04 eta: 3:29:46 time: 0.8355 data_time: 0.0388 memory: 13619 grad_norm: 4.5542 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.7461 loss: 0.7461 2022/08/01 16:58:56 - mmengine - INFO - Epoch(train) [83][720/940] lr: 1.0000e-04 eta: 3:29:30 time: 0.7485 data_time: 0.0350 memory: 13619 grad_norm: 4.6507 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8972 loss: 0.8972 2022/08/01 16:59:11 - mmengine - INFO - Epoch(train) [83][740/940] lr: 1.0000e-04 eta: 3:29:14 time: 0.7497 data_time: 0.0448 memory: 13619 grad_norm: 4.6375 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8594 loss: 0.8594 2022/08/01 16:59:26 - mmengine - INFO - Epoch(train) [83][760/940] lr: 1.0000e-04 eta: 3:28:59 time: 0.7700 data_time: 0.0365 memory: 13619 grad_norm: 4.6440 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8418 loss: 0.8418 2022/08/01 16:59:41 - mmengine - INFO - Epoch(train) [83][780/940] lr: 1.0000e-04 eta: 3:28:43 time: 0.7397 data_time: 0.0376 memory: 13619 grad_norm: 4.7807 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8662 loss: 0.8662 2022/08/01 16:59:56 - mmengine - INFO - Epoch(train) [83][800/940] lr: 1.0000e-04 eta: 3:28:27 time: 0.7281 data_time: 0.0337 memory: 13619 grad_norm: 4.5845 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6688 loss: 0.6688 2022/08/01 17:00:11 - mmengine - INFO - Epoch(train) [83][820/940] lr: 1.0000e-04 eta: 3:28:12 time: 0.7928 data_time: 0.0459 memory: 13619 grad_norm: 4.7541 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8665 loss: 0.8665 2022/08/01 17:00:27 - mmengine - INFO - Epoch(train) [83][840/940] lr: 1.0000e-04 eta: 3:27:56 time: 0.7762 data_time: 0.0319 memory: 13619 grad_norm: 4.7776 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9028 loss: 0.9028 2022/08/01 17:00:43 - mmengine - INFO - Epoch(train) [83][860/940] lr: 1.0000e-04 eta: 3:27:41 time: 0.8069 data_time: 0.0360 memory: 13619 grad_norm: 4.5570 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8045 loss: 0.8045 2022/08/01 17:00:57 - mmengine - INFO - Epoch(train) [83][880/940] lr: 1.0000e-04 eta: 3:27:25 time: 0.7111 data_time: 0.0394 memory: 13619 grad_norm: 4.6845 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7885 loss: 0.7885 2022/08/01 17:01:15 - mmengine - INFO - Epoch(train) [83][900/940] lr: 1.0000e-04 eta: 3:27:10 time: 0.8896 data_time: 0.0336 memory: 13619 grad_norm: 4.7400 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7386 loss: 0.7386 2022/08/01 17:01:29 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:01:29 - mmengine - INFO - Epoch(train) [83][920/940] lr: 1.0000e-04 eta: 3:26:54 time: 0.7079 data_time: 0.0368 memory: 13619 grad_norm: 4.7072 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8214 loss: 0.8214 2022/08/01 17:01:43 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:01:43 - mmengine - INFO - Epoch(train) [83][940/940] lr: 1.0000e-04 eta: 3:26:38 time: 0.6717 data_time: 0.0283 memory: 13619 grad_norm: 4.9776 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8979 loss: 0.8979 2022/08/01 17:02:00 - mmengine - INFO - Epoch(val) [83][20/78] eta: 0:00:49 time: 0.8591 data_time: 0.7661 memory: 2186 2022/08/01 17:02:12 - mmengine - INFO - Epoch(val) [83][40/78] eta: 0:00:22 time: 0.5917 data_time: 0.4961 memory: 2186 2022/08/01 17:02:28 - mmengine - INFO - Epoch(val) [83][60/78] eta: 0:00:14 time: 0.8188 data_time: 0.7259 memory: 2186 2022/08/01 17:02:42 - mmengine - INFO - Epoch(val) [83][78/78] acc/top1: 0.7091 acc/top5: 0.8940 acc/mean1: 0.7090 2022/08/01 17:02:42 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_65.pth is removed 2022/08/01 17:02:43 - mmengine - INFO - The best checkpoint with 0.7091 acc/top1 at 84 epoch is saved to best_acc/top1_epoch_84.pth. 2022/08/01 17:03:03 - mmengine - INFO - Epoch(train) [84][20/940] lr: 1.0000e-04 eta: 3:26:24 time: 0.9707 data_time: 0.6852 memory: 13619 grad_norm: 4.6095 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8493 loss: 0.8493 2022/08/01 17:03:17 - mmengine - INFO - Epoch(train) [84][40/940] lr: 1.0000e-04 eta: 3:26:08 time: 0.7176 data_time: 0.3946 memory: 13619 grad_norm: 4.5305 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7954 loss: 0.7954 2022/08/01 17:03:34 - mmengine - INFO - Epoch(train) [84][60/940] lr: 1.0000e-04 eta: 3:25:53 time: 0.8411 data_time: 0.4812 memory: 13619 grad_norm: 4.7582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7829 loss: 0.7829 2022/08/01 17:03:48 - mmengine - INFO - Epoch(train) [84][80/940] lr: 1.0000e-04 eta: 3:25:37 time: 0.6855 data_time: 0.2502 memory: 13619 grad_norm: 4.5101 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7483 loss: 0.7483 2022/08/01 17:04:06 - mmengine - INFO - Epoch(train) [84][100/940] lr: 1.0000e-04 eta: 3:25:22 time: 0.8964 data_time: 0.3346 memory: 13619 grad_norm: 4.6920 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8485 loss: 0.8485 2022/08/01 17:04:18 - mmengine - INFO - Epoch(train) [84][120/940] lr: 1.0000e-04 eta: 3:25:06 time: 0.6267 data_time: 0.2293 memory: 13619 grad_norm: 4.7117 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8632 loss: 0.8632 2022/08/01 17:04:35 - mmengine - INFO - Epoch(train) [84][140/940] lr: 1.0000e-04 eta: 3:24:51 time: 0.8572 data_time: 0.4137 memory: 13619 grad_norm: 4.6787 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8969 loss: 0.8969 2022/08/01 17:04:49 - mmengine - INFO - Epoch(train) [84][160/940] lr: 1.0000e-04 eta: 3:24:35 time: 0.6695 data_time: 0.2268 memory: 13619 grad_norm: 4.6872 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8303 loss: 0.8303 2022/08/01 17:05:06 - mmengine - INFO - Epoch(train) [84][180/940] lr: 1.0000e-04 eta: 3:24:19 time: 0.8556 data_time: 0.1756 memory: 13619 grad_norm: 4.7924 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8762 loss: 0.8762 2022/08/01 17:05:19 - mmengine - INFO - Epoch(train) [84][200/940] lr: 1.0000e-04 eta: 3:24:03 time: 0.6465 data_time: 0.1798 memory: 13619 grad_norm: 4.6942 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8836 loss: 0.8836 2022/08/01 17:05:37 - mmengine - INFO - Epoch(train) [84][220/940] lr: 1.0000e-04 eta: 3:23:48 time: 0.8915 data_time: 0.4041 memory: 13619 grad_norm: 4.6458 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8450 loss: 0.8450 2022/08/01 17:05:50 - mmengine - INFO - Epoch(train) [84][240/940] lr: 1.0000e-04 eta: 3:23:32 time: 0.6924 data_time: 0.2096 memory: 13619 grad_norm: 4.6304 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7214 loss: 0.7214 2022/08/01 17:06:07 - mmengine - INFO - Epoch(train) [84][260/940] lr: 1.0000e-04 eta: 3:23:17 time: 0.8182 data_time: 0.2153 memory: 13619 grad_norm: 4.6823 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8717 loss: 0.8717 2022/08/01 17:06:22 - mmengine - INFO - Epoch(train) [84][280/940] lr: 1.0000e-04 eta: 3:23:02 time: 0.7725 data_time: 0.0900 memory: 13619 grad_norm: 4.6713 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0166 loss: 1.0166 2022/08/01 17:06:37 - mmengine - INFO - Epoch(train) [84][300/940] lr: 1.0000e-04 eta: 3:22:46 time: 0.7497 data_time: 0.1891 memory: 13619 grad_norm: 4.6084 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8827 loss: 0.8827 2022/08/01 17:06:52 - mmengine - INFO - Epoch(train) [84][320/940] lr: 1.0000e-04 eta: 3:22:30 time: 0.7406 data_time: 0.1724 memory: 13619 grad_norm: 4.7058 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9202 loss: 0.9202 2022/08/01 17:07:08 - mmengine - INFO - Epoch(train) [84][340/940] lr: 1.0000e-04 eta: 3:22:15 time: 0.8084 data_time: 0.3641 memory: 13619 grad_norm: 4.5863 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8440 loss: 0.8440 2022/08/01 17:07:22 - mmengine - INFO - Epoch(train) [84][360/940] lr: 1.0000e-04 eta: 3:21:59 time: 0.6842 data_time: 0.3571 memory: 13619 grad_norm: 4.6428 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8586 loss: 0.8586 2022/08/01 17:07:40 - mmengine - INFO - Epoch(train) [84][380/940] lr: 1.0000e-04 eta: 3:21:44 time: 0.9094 data_time: 0.5750 memory: 13619 grad_norm: 4.7383 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8938 loss: 0.8938 2022/08/01 17:07:53 - mmengine - INFO - Epoch(train) [84][400/940] lr: 1.0000e-04 eta: 3:21:28 time: 0.6396 data_time: 0.2899 memory: 13619 grad_norm: 4.6864 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7546 loss: 0.7546 2022/08/01 17:08:10 - mmengine - INFO - Epoch(train) [84][420/940] lr: 1.0000e-04 eta: 3:21:13 time: 0.8653 data_time: 0.5501 memory: 13619 grad_norm: 4.6168 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7492 loss: 0.7492 2022/08/01 17:08:24 - mmengine - INFO - Epoch(train) [84][440/940] lr: 1.0000e-04 eta: 3:20:57 time: 0.7016 data_time: 0.3066 memory: 13619 grad_norm: 4.6935 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7772 loss: 0.7772 2022/08/01 17:08:43 - mmengine - INFO - Epoch(train) [84][460/940] lr: 1.0000e-04 eta: 3:20:42 time: 0.9540 data_time: 0.3184 memory: 13619 grad_norm: 4.7024 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.8881 loss: 0.8881 2022/08/01 17:08:57 - mmengine - INFO - Epoch(train) [84][480/940] lr: 1.0000e-04 eta: 3:20:26 time: 0.6947 data_time: 0.0512 memory: 13619 grad_norm: 4.6833 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8961 loss: 0.8961 2022/08/01 17:09:14 - mmengine - INFO - Epoch(train) [84][500/940] lr: 1.0000e-04 eta: 3:20:11 time: 0.8195 data_time: 0.0716 memory: 13619 grad_norm: 4.7093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/01 17:09:28 - mmengine - INFO - Epoch(train) [84][520/940] lr: 1.0000e-04 eta: 3:19:55 time: 0.7254 data_time: 0.0690 memory: 13619 grad_norm: 4.6328 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8586 loss: 0.8586 2022/08/01 17:09:43 - mmengine - INFO - Epoch(train) [84][540/940] lr: 1.0000e-04 eta: 3:19:40 time: 0.7484 data_time: 0.0986 memory: 13619 grad_norm: 4.7632 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8561 loss: 0.8561 2022/08/01 17:09:57 - mmengine - INFO - Epoch(train) [84][560/940] lr: 1.0000e-04 eta: 3:19:24 time: 0.6796 data_time: 0.1377 memory: 13619 grad_norm: 4.6852 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8696 loss: 0.8696 2022/08/01 17:10:14 - mmengine - INFO - Epoch(train) [84][580/940] lr: 1.0000e-04 eta: 3:19:09 time: 0.8526 data_time: 0.1927 memory: 13619 grad_norm: 4.5935 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8759 loss: 0.8759 2022/08/01 17:10:28 - mmengine - INFO - Epoch(train) [84][600/940] lr: 1.0000e-04 eta: 3:18:53 time: 0.7047 data_time: 0.1189 memory: 13619 grad_norm: 4.6036 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.9279 loss: 0.9279 2022/08/01 17:10:45 - mmengine - INFO - Epoch(train) [84][620/940] lr: 1.0000e-04 eta: 3:18:37 time: 0.8518 data_time: 0.1835 memory: 13619 grad_norm: 4.5934 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8680 loss: 0.8680 2022/08/01 17:10:57 - mmengine - INFO - Epoch(train) [84][640/940] lr: 1.0000e-04 eta: 3:18:21 time: 0.6249 data_time: 0.1101 memory: 13619 grad_norm: 4.8371 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9306 loss: 0.9306 2022/08/01 17:11:15 - mmengine - INFO - Epoch(train) [84][660/940] lr: 1.0000e-04 eta: 3:18:06 time: 0.8972 data_time: 0.1881 memory: 13619 grad_norm: 4.6837 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8574 loss: 0.8574 2022/08/01 17:11:28 - mmengine - INFO - Epoch(train) [84][680/940] lr: 1.0000e-04 eta: 3:17:50 time: 0.6354 data_time: 0.0775 memory: 13619 grad_norm: 4.6521 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8485 loss: 0.8485 2022/08/01 17:11:46 - mmengine - INFO - Epoch(train) [84][700/940] lr: 1.0000e-04 eta: 3:17:35 time: 0.8709 data_time: 0.1342 memory: 13619 grad_norm: 4.5305 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7834 loss: 0.7834 2022/08/01 17:12:00 - mmengine - INFO - Epoch(train) [84][720/940] lr: 1.0000e-04 eta: 3:17:19 time: 0.7047 data_time: 0.0921 memory: 13619 grad_norm: 4.5269 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7761 loss: 0.7761 2022/08/01 17:12:17 - mmengine - INFO - Epoch(train) [84][740/940] lr: 1.0000e-04 eta: 3:17:04 time: 0.8655 data_time: 0.0590 memory: 13619 grad_norm: 4.7197 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9238 loss: 0.9238 2022/08/01 17:12:31 - mmengine - INFO - Epoch(train) [84][760/940] lr: 1.0000e-04 eta: 3:16:48 time: 0.6895 data_time: 0.0551 memory: 13619 grad_norm: 4.5819 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8749 loss: 0.8749 2022/08/01 17:12:48 - mmengine - INFO - Epoch(train) [84][780/940] lr: 1.0000e-04 eta: 3:16:33 time: 0.8644 data_time: 0.0369 memory: 13619 grad_norm: 4.6337 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8508 loss: 0.8508 2022/08/01 17:13:02 - mmengine - INFO - Epoch(train) [84][800/940] lr: 1.0000e-04 eta: 3:16:17 time: 0.6998 data_time: 0.0416 memory: 13619 grad_norm: 4.6554 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8997 loss: 0.8997 2022/08/01 17:13:20 - mmengine - INFO - Epoch(train) [84][820/940] lr: 1.0000e-04 eta: 3:16:02 time: 0.8881 data_time: 0.0337 memory: 13619 grad_norm: 4.6357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8564 loss: 0.8564 2022/08/01 17:13:32 - mmengine - INFO - Epoch(train) [84][840/940] lr: 1.0000e-04 eta: 3:15:46 time: 0.6282 data_time: 0.0420 memory: 13619 grad_norm: 4.5465 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7921 loss: 0.7921 2022/08/01 17:13:50 - mmengine - INFO - Epoch(train) [84][860/940] lr: 1.0000e-04 eta: 3:15:31 time: 0.8888 data_time: 0.0398 memory: 13619 grad_norm: 4.6755 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7767 loss: 0.7767 2022/08/01 17:14:03 - mmengine - INFO - Epoch(train) [84][880/940] lr: 1.0000e-04 eta: 3:15:15 time: 0.6214 data_time: 0.0346 memory: 13619 grad_norm: 4.5969 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7656 loss: 0.7656 2022/08/01 17:14:19 - mmengine - INFO - Epoch(train) [84][900/940] lr: 1.0000e-04 eta: 3:15:00 time: 0.8243 data_time: 0.0398 memory: 13619 grad_norm: 4.6403 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/08/01 17:14:33 - mmengine - INFO - Epoch(train) [84][920/940] lr: 1.0000e-04 eta: 3:14:44 time: 0.6716 data_time: 0.0451 memory: 13619 grad_norm: 4.6386 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8796 loss: 0.8796 2022/08/01 17:14:47 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:14:47 - mmengine - INFO - Epoch(train) [84][940/940] lr: 1.0000e-04 eta: 3:14:28 time: 0.7316 data_time: 0.0301 memory: 13619 grad_norm: 5.0722 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 0.8542 loss: 0.8542 2022/08/01 17:14:47 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/01 17:15:08 - mmengine - INFO - Epoch(val) [84][20/78] eta: 0:00:50 time: 0.8775 data_time: 0.7873 memory: 2186 2022/08/01 17:15:20 - mmengine - INFO - Epoch(val) [84][40/78] eta: 0:00:23 time: 0.6062 data_time: 0.5149 memory: 2186 2022/08/01 17:15:36 - mmengine - INFO - Epoch(val) [84][60/78] eta: 0:00:14 time: 0.8114 data_time: 0.7074 memory: 2186 2022/08/01 17:15:48 - mmengine - INFO - Epoch(val) [84][78/78] acc/top1: 0.7071 acc/top5: 0.8947 acc/mean1: 0.7070 2022/08/01 17:16:09 - mmengine - INFO - Epoch(train) [85][20/940] lr: 1.0000e-04 eta: 3:14:13 time: 0.9860 data_time: 0.5447 memory: 13619 grad_norm: 4.7179 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9580 loss: 0.9580 2022/08/01 17:16:23 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:16:23 - mmengine - INFO - Epoch(train) [85][40/940] lr: 1.0000e-04 eta: 3:13:58 time: 0.7197 data_time: 0.2408 memory: 13619 grad_norm: 4.6042 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8537 loss: 0.8537 2022/08/01 17:16:39 - mmengine - INFO - Epoch(train) [85][60/940] lr: 1.0000e-04 eta: 3:13:42 time: 0.8153 data_time: 0.1911 memory: 13619 grad_norm: 4.6290 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8271 loss: 0.8271 2022/08/01 17:16:53 - mmengine - INFO - Epoch(train) [85][80/940] lr: 1.0000e-04 eta: 3:13:26 time: 0.6855 data_time: 0.1476 memory: 13619 grad_norm: 4.6996 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7952 loss: 0.7952 2022/08/01 17:17:10 - mmengine - INFO - Epoch(train) [85][100/940] lr: 1.0000e-04 eta: 3:13:11 time: 0.8618 data_time: 0.2023 memory: 13619 grad_norm: 4.6315 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7426 loss: 0.7426 2022/08/01 17:17:24 - mmengine - INFO - Epoch(train) [85][120/940] lr: 1.0000e-04 eta: 3:12:55 time: 0.6985 data_time: 0.0438 memory: 13619 grad_norm: 4.7792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8036 loss: 0.8036 2022/08/01 17:17:42 - mmengine - INFO - Epoch(train) [85][140/940] lr: 1.0000e-04 eta: 3:12:40 time: 0.8708 data_time: 0.0424 memory: 13619 grad_norm: 4.6832 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7391 loss: 0.7391 2022/08/01 17:17:56 - mmengine - INFO - Epoch(train) [85][160/940] lr: 1.0000e-04 eta: 3:12:24 time: 0.7216 data_time: 0.0338 memory: 13619 grad_norm: 4.5884 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8553 loss: 0.8553 2022/08/01 17:18:12 - mmengine - INFO - Epoch(train) [85][180/940] lr: 1.0000e-04 eta: 3:12:09 time: 0.7765 data_time: 0.0417 memory: 13619 grad_norm: 4.6799 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8348 loss: 0.8348 2022/08/01 17:18:26 - mmengine - INFO - Epoch(train) [85][200/940] lr: 1.0000e-04 eta: 3:11:53 time: 0.7206 data_time: 0.0341 memory: 13619 grad_norm: 4.6597 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9410 loss: 0.9410 2022/08/01 17:18:43 - mmengine - INFO - Epoch(train) [85][220/940] lr: 1.0000e-04 eta: 3:11:38 time: 0.8477 data_time: 0.0456 memory: 13619 grad_norm: 4.6808 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8768 loss: 0.8768 2022/08/01 17:18:57 - mmengine - INFO - Epoch(train) [85][240/940] lr: 1.0000e-04 eta: 3:11:22 time: 0.6819 data_time: 0.0327 memory: 13619 grad_norm: 4.6804 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8097 loss: 0.8097 2022/08/01 17:19:14 - mmengine - INFO - Epoch(train) [85][260/940] lr: 1.0000e-04 eta: 3:11:07 time: 0.8518 data_time: 0.0502 memory: 13619 grad_norm: 4.6684 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8194 loss: 0.8194 2022/08/01 17:19:28 - mmengine - INFO - Epoch(train) [85][280/940] lr: 1.0000e-04 eta: 3:10:51 time: 0.7111 data_time: 0.0327 memory: 13619 grad_norm: 4.6364 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8133 loss: 0.8133 2022/08/01 17:19:43 - mmengine - INFO - Epoch(train) [85][300/940] lr: 1.0000e-04 eta: 3:10:36 time: 0.7763 data_time: 0.0404 memory: 13619 grad_norm: 4.7030 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8750 loss: 0.8750 2022/08/01 17:19:56 - mmengine - INFO - Epoch(train) [85][320/940] lr: 1.0000e-04 eta: 3:10:20 time: 0.6496 data_time: 0.0364 memory: 13619 grad_norm: 4.6975 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9027 loss: 0.9027 2022/08/01 17:20:13 - mmengine - INFO - Epoch(train) [85][340/940] lr: 1.0000e-04 eta: 3:10:04 time: 0.8290 data_time: 0.0397 memory: 13619 grad_norm: 4.5271 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8329 loss: 0.8329 2022/08/01 17:20:27 - mmengine - INFO - Epoch(train) [85][360/940] lr: 1.0000e-04 eta: 3:09:49 time: 0.7157 data_time: 0.0337 memory: 13619 grad_norm: 4.7338 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9272 loss: 0.9272 2022/08/01 17:20:45 - mmengine - INFO - Epoch(train) [85][380/940] lr: 1.0000e-04 eta: 3:09:33 time: 0.8746 data_time: 0.0454 memory: 13619 grad_norm: 4.6415 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8431 loss: 0.8431 2022/08/01 17:20:58 - mmengine - INFO - Epoch(train) [85][400/940] lr: 1.0000e-04 eta: 3:09:18 time: 0.6796 data_time: 0.0424 memory: 13619 grad_norm: 4.6177 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8772 loss: 0.8772 2022/08/01 17:21:16 - mmengine - INFO - Epoch(train) [85][420/940] lr: 1.0000e-04 eta: 3:09:02 time: 0.8448 data_time: 0.0424 memory: 13619 grad_norm: 4.6523 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8218 loss: 0.8218 2022/08/01 17:21:29 - mmengine - INFO - Epoch(train) [85][440/940] lr: 1.0000e-04 eta: 3:08:46 time: 0.6786 data_time: 0.0469 memory: 13619 grad_norm: 4.5119 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7530 loss: 0.7530 2022/08/01 17:21:46 - mmengine - INFO - Epoch(train) [85][460/940] lr: 1.0000e-04 eta: 3:08:31 time: 0.8654 data_time: 0.0407 memory: 13619 grad_norm: 4.6150 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8129 loss: 0.8129 2022/08/01 17:22:00 - mmengine - INFO - Epoch(train) [85][480/940] lr: 1.0000e-04 eta: 3:08:15 time: 0.6841 data_time: 0.0386 memory: 13619 grad_norm: 4.5865 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9813 loss: 0.9813 2022/08/01 17:22:18 - mmengine - INFO - Epoch(train) [85][500/940] lr: 1.0000e-04 eta: 3:08:00 time: 0.8922 data_time: 0.0410 memory: 13619 grad_norm: 4.7158 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8278 loss: 0.8278 2022/08/01 17:22:31 - mmengine - INFO - Epoch(train) [85][520/940] lr: 1.0000e-04 eta: 3:07:44 time: 0.6590 data_time: 0.0412 memory: 13619 grad_norm: 4.7554 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9425 loss: 0.9425 2022/08/01 17:22:47 - mmengine - INFO - Epoch(train) [85][540/940] lr: 1.0000e-04 eta: 3:07:29 time: 0.8238 data_time: 0.0445 memory: 13619 grad_norm: 4.7854 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9062 loss: 0.9062 2022/08/01 17:23:00 - mmengine - INFO - Epoch(train) [85][560/940] lr: 1.0000e-04 eta: 3:07:13 time: 0.6449 data_time: 0.0351 memory: 13619 grad_norm: 4.7214 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9479 loss: 0.9479 2022/08/01 17:23:17 - mmengine - INFO - Epoch(train) [85][580/940] lr: 1.0000e-04 eta: 3:06:58 time: 0.8294 data_time: 0.0403 memory: 13619 grad_norm: 4.6078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8310 loss: 0.8310 2022/08/01 17:23:31 - mmengine - INFO - Epoch(train) [85][600/940] lr: 1.0000e-04 eta: 3:06:42 time: 0.6938 data_time: 0.0371 memory: 13619 grad_norm: 4.7034 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8911 loss: 0.8911 2022/08/01 17:23:49 - mmengine - INFO - Epoch(train) [85][620/940] lr: 1.0000e-04 eta: 3:06:27 time: 0.8880 data_time: 0.0444 memory: 13619 grad_norm: 4.6297 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8798 loss: 0.8798 2022/08/01 17:24:02 - mmengine - INFO - Epoch(train) [85][640/940] lr: 1.0000e-04 eta: 3:06:11 time: 0.6652 data_time: 0.0372 memory: 13619 grad_norm: 4.6783 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7978 loss: 0.7978 2022/08/01 17:24:20 - mmengine - INFO - Epoch(train) [85][660/940] lr: 1.0000e-04 eta: 3:05:56 time: 0.8977 data_time: 0.0410 memory: 13619 grad_norm: 4.7625 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8756 loss: 0.8756 2022/08/01 17:24:33 - mmengine - INFO - Epoch(train) [85][680/940] lr: 1.0000e-04 eta: 3:05:40 time: 0.6609 data_time: 0.0393 memory: 13619 grad_norm: 4.5710 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8609 loss: 0.8609 2022/08/01 17:24:50 - mmengine - INFO - Epoch(train) [85][700/940] lr: 1.0000e-04 eta: 3:05:25 time: 0.8415 data_time: 0.0474 memory: 13619 grad_norm: 4.6855 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8204 loss: 0.8204 2022/08/01 17:25:04 - mmengine - INFO - Epoch(train) [85][720/940] lr: 1.0000e-04 eta: 3:05:09 time: 0.7149 data_time: 0.0427 memory: 13619 grad_norm: 4.6661 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8526 loss: 0.8526 2022/08/01 17:25:21 - mmengine - INFO - Epoch(train) [85][740/940] lr: 1.0000e-04 eta: 3:04:54 time: 0.8524 data_time: 0.0411 memory: 13619 grad_norm: 4.7912 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8688 loss: 0.8688 2022/08/01 17:25:34 - mmengine - INFO - Epoch(train) [85][760/940] lr: 1.0000e-04 eta: 3:04:38 time: 0.6524 data_time: 0.0295 memory: 13619 grad_norm: 4.7309 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7472 loss: 0.7472 2022/08/01 17:25:52 - mmengine - INFO - Epoch(train) [85][780/940] lr: 1.0000e-04 eta: 3:04:22 time: 0.8564 data_time: 0.0381 memory: 13619 grad_norm: 4.5880 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.8027 loss: 0.8027 2022/08/01 17:26:04 - mmengine - INFO - Epoch(train) [85][800/940] lr: 1.0000e-04 eta: 3:04:06 time: 0.6302 data_time: 0.0447 memory: 13619 grad_norm: 4.5702 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7495 loss: 0.7495 2022/08/01 17:26:21 - mmengine - INFO - Epoch(train) [85][820/940] lr: 1.0000e-04 eta: 3:03:51 time: 0.8368 data_time: 0.0399 memory: 13619 grad_norm: 4.6292 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8608 loss: 0.8608 2022/08/01 17:26:35 - mmengine - INFO - Epoch(train) [85][840/940] lr: 1.0000e-04 eta: 3:03:35 time: 0.6888 data_time: 0.0368 memory: 13619 grad_norm: 4.5529 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8399 loss: 0.8399 2022/08/01 17:26:52 - mmengine - INFO - Epoch(train) [85][860/940] lr: 1.0000e-04 eta: 3:03:20 time: 0.8620 data_time: 0.0420 memory: 13619 grad_norm: 4.6195 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7946 loss: 0.7946 2022/08/01 17:27:06 - mmengine - INFO - Epoch(train) [85][880/940] lr: 1.0000e-04 eta: 3:03:04 time: 0.6881 data_time: 0.0356 memory: 13619 grad_norm: 4.7220 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8252 loss: 0.8252 2022/08/01 17:27:22 - mmengine - INFO - Epoch(train) [85][900/940] lr: 1.0000e-04 eta: 3:02:49 time: 0.8377 data_time: 0.0445 memory: 13619 grad_norm: 4.6712 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8595 loss: 0.8595 2022/08/01 17:27:37 - mmengine - INFO - Epoch(train) [85][920/940] lr: 1.0000e-04 eta: 3:02:33 time: 0.7176 data_time: 0.0405 memory: 13619 grad_norm: 4.7116 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8067 loss: 0.8067 2022/08/01 17:27:52 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:27:52 - mmengine - INFO - Epoch(train) [85][940/940] lr: 1.0000e-04 eta: 3:02:18 time: 0.7365 data_time: 0.0291 memory: 13619 grad_norm: 4.9773 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8336 loss: 0.8336 2022/08/01 17:28:09 - mmengine - INFO - Epoch(val) [85][20/78] eta: 0:00:50 time: 0.8747 data_time: 0.7723 memory: 2186 2022/08/01 17:28:21 - mmengine - INFO - Epoch(val) [85][40/78] eta: 0:00:22 time: 0.5960 data_time: 0.5014 memory: 2186 2022/08/01 17:28:37 - mmengine - INFO - Epoch(val) [85][60/78] eta: 0:00:14 time: 0.8069 data_time: 0.6985 memory: 2186 2022/08/01 17:28:51 - mmengine - INFO - Epoch(val) [85][78/78] acc/top1: 0.7061 acc/top5: 0.8944 acc/mean1: 0.7060 2022/08/01 17:29:10 - mmengine - INFO - Epoch(train) [86][20/940] lr: 1.0000e-04 eta: 3:02:03 time: 0.9408 data_time: 0.6271 memory: 13619 grad_norm: 4.6074 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8393 loss: 0.8393 2022/08/01 17:29:23 - mmengine - INFO - Epoch(train) [86][40/940] lr: 1.0000e-04 eta: 3:01:47 time: 0.6660 data_time: 0.3620 memory: 13619 grad_norm: 4.6528 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8353 loss: 0.8353 2022/08/01 17:29:40 - mmengine - INFO - Epoch(train) [86][60/940] lr: 1.0000e-04 eta: 3:01:31 time: 0.8456 data_time: 0.4408 memory: 13619 grad_norm: 4.7906 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8843 loss: 0.8843 2022/08/01 17:29:54 - mmengine - INFO - Epoch(train) [86][80/940] lr: 1.0000e-04 eta: 3:01:16 time: 0.7171 data_time: 0.2876 memory: 13619 grad_norm: 4.5916 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8457 loss: 0.8457 2022/08/01 17:30:11 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:30:11 - mmengine - INFO - Epoch(train) [86][100/940] lr: 1.0000e-04 eta: 3:01:00 time: 0.8232 data_time: 0.2915 memory: 13619 grad_norm: 4.7033 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8619 loss: 0.8619 2022/08/01 17:30:26 - mmengine - INFO - Epoch(train) [86][120/940] lr: 1.0000e-04 eta: 3:00:45 time: 0.7452 data_time: 0.1232 memory: 13619 grad_norm: 4.6525 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8957 loss: 0.8957 2022/08/01 17:30:42 - mmengine - INFO - Epoch(train) [86][140/940] lr: 1.0000e-04 eta: 3:00:29 time: 0.8265 data_time: 0.1436 memory: 13619 grad_norm: 4.7263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8438 loss: 0.8438 2022/08/01 17:30:55 - mmengine - INFO - Epoch(train) [86][160/940] lr: 1.0000e-04 eta: 3:00:13 time: 0.6576 data_time: 0.1668 memory: 13619 grad_norm: 4.6509 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8789 loss: 0.8789 2022/08/01 17:31:13 - mmengine - INFO - Epoch(train) [86][180/940] lr: 1.0000e-04 eta: 2:59:58 time: 0.8865 data_time: 0.1891 memory: 13619 grad_norm: 4.6518 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9009 loss: 0.9009 2022/08/01 17:31:27 - mmengine - INFO - Epoch(train) [86][200/940] lr: 1.0000e-04 eta: 2:59:42 time: 0.6709 data_time: 0.0932 memory: 13619 grad_norm: 4.7649 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8772 loss: 0.8772 2022/08/01 17:31:44 - mmengine - INFO - Epoch(train) [86][220/940] lr: 1.0000e-04 eta: 2:59:27 time: 0.8609 data_time: 0.0792 memory: 13619 grad_norm: 4.5540 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9062 loss: 0.9062 2022/08/01 17:31:57 - mmengine - INFO - Epoch(train) [86][240/940] lr: 1.0000e-04 eta: 2:59:11 time: 0.6788 data_time: 0.0291 memory: 13619 grad_norm: 4.6247 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8635 loss: 0.8635 2022/08/01 17:32:15 - mmengine - INFO - Epoch(train) [86][260/940] lr: 1.0000e-04 eta: 2:58:56 time: 0.8914 data_time: 0.0407 memory: 13619 grad_norm: 4.6274 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8525 loss: 0.8525 2022/08/01 17:32:29 - mmengine - INFO - Epoch(train) [86][280/940] lr: 1.0000e-04 eta: 2:58:40 time: 0.6830 data_time: 0.0291 memory: 13619 grad_norm: 4.6939 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9186 loss: 0.9186 2022/08/01 17:32:45 - mmengine - INFO - Epoch(train) [86][300/940] lr: 1.0000e-04 eta: 2:58:25 time: 0.8340 data_time: 0.0380 memory: 13619 grad_norm: 4.6707 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8959 loss: 0.8959 2022/08/01 17:33:00 - mmengine - INFO - Epoch(train) [86][320/940] lr: 1.0000e-04 eta: 2:58:09 time: 0.7120 data_time: 0.0330 memory: 13619 grad_norm: 4.7017 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8331 loss: 0.8331 2022/08/01 17:33:16 - mmengine - INFO - Epoch(train) [86][340/940] lr: 1.0000e-04 eta: 2:57:54 time: 0.8291 data_time: 0.0403 memory: 13619 grad_norm: 4.5366 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8541 loss: 0.8541 2022/08/01 17:33:30 - mmengine - INFO - Epoch(train) [86][360/940] lr: 1.0000e-04 eta: 2:57:38 time: 0.6928 data_time: 0.0403 memory: 13619 grad_norm: 4.5551 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8385 loss: 0.8385 2022/08/01 17:33:45 - mmengine - INFO - Epoch(train) [86][380/940] lr: 1.0000e-04 eta: 2:57:23 time: 0.7410 data_time: 0.0403 memory: 13619 grad_norm: 4.7237 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8509 loss: 0.8509 2022/08/01 17:34:01 - mmengine - INFO - Epoch(train) [86][400/940] lr: 1.0000e-04 eta: 2:57:07 time: 0.8218 data_time: 0.0327 memory: 13619 grad_norm: 4.6458 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8492 loss: 0.8492 2022/08/01 17:34:16 - mmengine - INFO - Epoch(train) [86][420/940] lr: 1.0000e-04 eta: 2:56:52 time: 0.7427 data_time: 0.0431 memory: 13619 grad_norm: 4.6246 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8602 loss: 0.8602 2022/08/01 17:34:32 - mmengine - INFO - Epoch(train) [86][440/940] lr: 1.0000e-04 eta: 2:56:36 time: 0.7944 data_time: 0.0352 memory: 13619 grad_norm: 4.7381 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8603 loss: 0.8603 2022/08/01 17:34:48 - mmengine - INFO - Epoch(train) [86][460/940] lr: 1.0000e-04 eta: 2:56:21 time: 0.8017 data_time: 0.0381 memory: 13619 grad_norm: 4.6319 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.8968 loss: 0.8968 2022/08/01 17:35:03 - mmengine - INFO - Epoch(train) [86][480/940] lr: 1.0000e-04 eta: 2:56:05 time: 0.7576 data_time: 0.0425 memory: 13619 grad_norm: 4.6806 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7824 loss: 0.7824 2022/08/01 17:35:18 - mmengine - INFO - Epoch(train) [86][500/940] lr: 1.0000e-04 eta: 2:55:50 time: 0.7440 data_time: 0.0405 memory: 13619 grad_norm: 4.6221 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8681 loss: 0.8681 2022/08/01 17:35:32 - mmengine - INFO - Epoch(train) [86][520/940] lr: 1.0000e-04 eta: 2:55:34 time: 0.6693 data_time: 0.0333 memory: 13619 grad_norm: 4.8226 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8204 loss: 0.8204 2022/08/01 17:35:49 - mmengine - INFO - Epoch(train) [86][540/940] lr: 1.0000e-04 eta: 2:55:18 time: 0.8429 data_time: 0.0614 memory: 13619 grad_norm: 4.5083 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8401 loss: 0.8401 2022/08/01 17:36:03 - mmengine - INFO - Epoch(train) [86][560/940] lr: 1.0000e-04 eta: 2:55:03 time: 0.7002 data_time: 0.0351 memory: 13619 grad_norm: 4.7075 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9078 loss: 0.9078 2022/08/01 17:36:18 - mmengine - INFO - Epoch(train) [86][580/940] lr: 1.0000e-04 eta: 2:54:47 time: 0.7865 data_time: 0.0403 memory: 13619 grad_norm: 4.6718 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8483 loss: 0.8483 2022/08/01 17:36:33 - mmengine - INFO - Epoch(train) [86][600/940] lr: 1.0000e-04 eta: 2:54:31 time: 0.7120 data_time: 0.0654 memory: 13619 grad_norm: 4.5584 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9776 loss: 0.9776 2022/08/01 17:36:50 - mmengine - INFO - Epoch(train) [86][620/940] lr: 1.0000e-04 eta: 2:54:16 time: 0.8681 data_time: 0.0345 memory: 13619 grad_norm: 4.6182 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8246 loss: 0.8246 2022/08/01 17:37:04 - mmengine - INFO - Epoch(train) [86][640/940] lr: 1.0000e-04 eta: 2:54:00 time: 0.7168 data_time: 0.0373 memory: 13619 grad_norm: 4.7104 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8869 loss: 0.8869 2022/08/01 17:37:19 - mmengine - INFO - Epoch(train) [86][660/940] lr: 1.0000e-04 eta: 2:53:45 time: 0.7391 data_time: 0.0369 memory: 13619 grad_norm: 4.6864 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8037 loss: 0.8037 2022/08/01 17:37:34 - mmengine - INFO - Epoch(train) [86][680/940] lr: 1.0000e-04 eta: 2:53:29 time: 0.7636 data_time: 0.0378 memory: 13619 grad_norm: 4.6722 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8636 loss: 0.8636 2022/08/01 17:37:49 - mmengine - INFO - Epoch(train) [86][700/940] lr: 1.0000e-04 eta: 2:53:14 time: 0.7451 data_time: 0.0369 memory: 13619 grad_norm: 4.7002 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8912 loss: 0.8912 2022/08/01 17:38:06 - mmengine - INFO - Epoch(train) [86][720/940] lr: 1.0000e-04 eta: 2:52:58 time: 0.8178 data_time: 0.0404 memory: 13619 grad_norm: 4.5108 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8812 loss: 0.8812 2022/08/01 17:38:20 - mmengine - INFO - Epoch(train) [86][740/940] lr: 1.0000e-04 eta: 2:52:43 time: 0.7028 data_time: 0.0380 memory: 13619 grad_norm: 4.5732 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8110 loss: 0.8110 2022/08/01 17:38:36 - mmengine - INFO - Epoch(train) [86][760/940] lr: 1.0000e-04 eta: 2:52:27 time: 0.8192 data_time: 0.0425 memory: 13619 grad_norm: 4.5014 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/01 17:38:51 - mmengine - INFO - Epoch(train) [86][780/940] lr: 1.0000e-04 eta: 2:52:12 time: 0.7367 data_time: 0.0376 memory: 13619 grad_norm: 4.5605 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.8490 loss: 0.8490 2022/08/01 17:39:08 - mmengine - INFO - Epoch(train) [86][800/940] lr: 1.0000e-04 eta: 2:51:56 time: 0.8396 data_time: 0.0406 memory: 13619 grad_norm: 4.6265 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8896 loss: 0.8896 2022/08/01 17:39:21 - mmengine - INFO - Epoch(train) [86][820/940] lr: 1.0000e-04 eta: 2:51:40 time: 0.6922 data_time: 0.0414 memory: 13619 grad_norm: 4.7062 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9056 loss: 0.9056 2022/08/01 17:39:39 - mmengine - INFO - Epoch(train) [86][840/940] lr: 1.0000e-04 eta: 2:51:25 time: 0.8527 data_time: 0.0365 memory: 13619 grad_norm: 4.6097 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9040 loss: 0.9040 2022/08/01 17:39:53 - mmengine - INFO - Epoch(train) [86][860/940] lr: 1.0000e-04 eta: 2:51:09 time: 0.7025 data_time: 0.0427 memory: 13619 grad_norm: 4.6520 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8321 loss: 0.8321 2022/08/01 17:40:10 - mmengine - INFO - Epoch(train) [86][880/940] lr: 1.0000e-04 eta: 2:50:54 time: 0.8787 data_time: 0.0345 memory: 13619 grad_norm: 4.6553 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7575 loss: 0.7575 2022/08/01 17:40:24 - mmengine - INFO - Epoch(train) [86][900/940] lr: 1.0000e-04 eta: 2:50:38 time: 0.6819 data_time: 0.0470 memory: 13619 grad_norm: 4.7201 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8383 loss: 0.8383 2022/08/01 17:40:41 - mmengine - INFO - Epoch(train) [86][920/940] lr: 1.0000e-04 eta: 2:50:23 time: 0.8804 data_time: 0.0399 memory: 13619 grad_norm: 4.7228 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9443 loss: 0.9443 2022/08/01 17:40:52 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:40:52 - mmengine - INFO - Epoch(train) [86][940/940] lr: 1.0000e-04 eta: 2:50:07 time: 0.5253 data_time: 0.0271 memory: 13619 grad_norm: 5.1129 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/08/01 17:41:09 - mmengine - INFO - Epoch(val) [86][20/78] eta: 0:00:50 time: 0.8663 data_time: 0.7690 memory: 2186 2022/08/01 17:41:22 - mmengine - INFO - Epoch(val) [86][40/78] eta: 0:00:23 time: 0.6199 data_time: 0.5240 memory: 2186 2022/08/01 17:41:38 - mmengine - INFO - Epoch(val) [86][60/78] eta: 0:00:14 time: 0.8151 data_time: 0.7180 memory: 2186 2022/08/01 17:41:51 - mmengine - INFO - Epoch(val) [86][78/78] acc/top1: 0.7073 acc/top5: 0.8935 acc/mean1: 0.7072 2022/08/01 17:42:10 - mmengine - INFO - Epoch(train) [87][20/940] lr: 1.0000e-04 eta: 2:49:52 time: 0.9818 data_time: 0.6785 memory: 13619 grad_norm: 4.5157 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7602 loss: 0.7602 2022/08/01 17:42:25 - mmengine - INFO - Epoch(train) [87][40/940] lr: 1.0000e-04 eta: 2:49:36 time: 0.7102 data_time: 0.4064 memory: 13619 grad_norm: 4.6525 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8138 loss: 0.8138 2022/08/01 17:42:42 - mmengine - INFO - Epoch(train) [87][60/940] lr: 1.0000e-04 eta: 2:49:21 time: 0.8617 data_time: 0.5519 memory: 13619 grad_norm: 4.7028 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7770 loss: 0.7770 2022/08/01 17:42:55 - mmengine - INFO - Epoch(train) [87][80/940] lr: 1.0000e-04 eta: 2:49:05 time: 0.6778 data_time: 0.3472 memory: 13619 grad_norm: 4.6180 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8562 loss: 0.8562 2022/08/01 17:43:12 - mmengine - INFO - Epoch(train) [87][100/940] lr: 1.0000e-04 eta: 2:48:50 time: 0.8185 data_time: 0.4909 memory: 13619 grad_norm: 4.5213 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8735 loss: 0.8735 2022/08/01 17:43:25 - mmengine - INFO - Epoch(train) [87][120/940] lr: 1.0000e-04 eta: 2:48:34 time: 0.6540 data_time: 0.3431 memory: 13619 grad_norm: 4.5827 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8294 loss: 0.8294 2022/08/01 17:43:42 - mmengine - INFO - Epoch(train) [87][140/940] lr: 1.0000e-04 eta: 2:48:19 time: 0.8601 data_time: 0.4458 memory: 13619 grad_norm: 4.6353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8815 loss: 0.8815 2022/08/01 17:43:56 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:43:56 - mmengine - INFO - Epoch(train) [87][160/940] lr: 1.0000e-04 eta: 2:48:03 time: 0.6909 data_time: 0.2725 memory: 13619 grad_norm: 4.7287 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8817 loss: 0.8817 2022/08/01 17:44:13 - mmengine - INFO - Epoch(train) [87][180/940] lr: 1.0000e-04 eta: 2:47:48 time: 0.8720 data_time: 0.1579 memory: 13619 grad_norm: 4.7375 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8452 loss: 0.8452 2022/08/01 17:44:27 - mmengine - INFO - Epoch(train) [87][200/940] lr: 1.0000e-04 eta: 2:47:32 time: 0.6768 data_time: 0.0442 memory: 13619 grad_norm: 4.6602 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8177 loss: 0.8177 2022/08/01 17:44:45 - mmengine - INFO - Epoch(train) [87][220/940] lr: 1.0000e-04 eta: 2:47:17 time: 0.8765 data_time: 0.0424 memory: 13619 grad_norm: 4.7875 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8615 loss: 0.8615 2022/08/01 17:44:58 - mmengine - INFO - Epoch(train) [87][240/940] lr: 1.0000e-04 eta: 2:47:01 time: 0.6527 data_time: 0.0324 memory: 13619 grad_norm: 4.7324 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7376 loss: 0.7376 2022/08/01 17:45:15 - mmengine - INFO - Epoch(train) [87][260/940] lr: 1.0000e-04 eta: 2:46:46 time: 0.8646 data_time: 0.0486 memory: 13619 grad_norm: 4.7550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8152 loss: 0.8152 2022/08/01 17:45:29 - mmengine - INFO - Epoch(train) [87][280/940] lr: 1.0000e-04 eta: 2:46:30 time: 0.7018 data_time: 0.0491 memory: 13619 grad_norm: 4.7671 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9773 loss: 0.9773 2022/08/01 17:45:46 - mmengine - INFO - Epoch(train) [87][300/940] lr: 1.0000e-04 eta: 2:46:15 time: 0.8608 data_time: 0.0399 memory: 13619 grad_norm: 4.6955 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8186 loss: 0.8186 2022/08/01 17:45:59 - mmengine - INFO - Epoch(train) [87][320/940] lr: 1.0000e-04 eta: 2:45:59 time: 0.6659 data_time: 0.0377 memory: 13619 grad_norm: 4.5134 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8425 loss: 0.8425 2022/08/01 17:46:17 - mmengine - INFO - Epoch(train) [87][340/940] lr: 1.0000e-04 eta: 2:45:44 time: 0.8587 data_time: 0.0383 memory: 13619 grad_norm: 4.5990 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8120 loss: 0.8120 2022/08/01 17:46:30 - mmengine - INFO - Epoch(train) [87][360/940] lr: 1.0000e-04 eta: 2:45:28 time: 0.6725 data_time: 0.0411 memory: 13619 grad_norm: 4.6688 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9783 loss: 0.9783 2022/08/01 17:46:47 - mmengine - INFO - Epoch(train) [87][380/940] lr: 1.0000e-04 eta: 2:45:12 time: 0.8267 data_time: 0.0383 memory: 13619 grad_norm: 4.6944 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7896 loss: 0.7896 2022/08/01 17:47:01 - mmengine - INFO - Epoch(train) [87][400/940] lr: 1.0000e-04 eta: 2:44:57 time: 0.7088 data_time: 0.0379 memory: 13619 grad_norm: 4.6269 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8215 loss: 0.8215 2022/08/01 17:47:18 - mmengine - INFO - Epoch(train) [87][420/940] lr: 1.0000e-04 eta: 2:44:41 time: 0.8611 data_time: 0.0369 memory: 13619 grad_norm: 4.7030 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.7560 loss: 0.7560 2022/08/01 17:47:32 - mmengine - INFO - Epoch(train) [87][440/940] lr: 1.0000e-04 eta: 2:44:26 time: 0.7060 data_time: 0.0398 memory: 13619 grad_norm: 4.5636 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8892 loss: 0.8892 2022/08/01 17:47:49 - mmengine - INFO - Epoch(train) [87][460/940] lr: 1.0000e-04 eta: 2:44:10 time: 0.8605 data_time: 0.0403 memory: 13619 grad_norm: 4.8516 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9303 loss: 0.9303 2022/08/01 17:48:01 - mmengine - INFO - Epoch(train) [87][480/940] lr: 1.0000e-04 eta: 2:43:54 time: 0.6020 data_time: 0.0420 memory: 13619 grad_norm: 4.6850 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8430 loss: 0.8430 2022/08/01 17:48:19 - mmengine - INFO - Epoch(train) [87][500/940] lr: 1.0000e-04 eta: 2:43:39 time: 0.8908 data_time: 0.0358 memory: 13619 grad_norm: 4.6404 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8213 loss: 0.8213 2022/08/01 17:48:33 - mmengine - INFO - Epoch(train) [87][520/940] lr: 1.0000e-04 eta: 2:43:23 time: 0.6802 data_time: 0.0335 memory: 13619 grad_norm: 4.6305 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8025 loss: 0.8025 2022/08/01 17:48:49 - mmengine - INFO - Epoch(train) [87][540/940] lr: 1.0000e-04 eta: 2:43:08 time: 0.8167 data_time: 0.0362 memory: 13619 grad_norm: 4.5785 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8665 loss: 0.8665 2022/08/01 17:49:03 - mmengine - INFO - Epoch(train) [87][560/940] lr: 1.0000e-04 eta: 2:42:52 time: 0.7115 data_time: 0.0408 memory: 13619 grad_norm: 4.5808 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8698 loss: 0.8698 2022/08/01 17:49:19 - mmengine - INFO - Epoch(train) [87][580/940] lr: 1.0000e-04 eta: 2:42:37 time: 0.7620 data_time: 0.0383 memory: 13619 grad_norm: 4.7293 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8897 loss: 0.8897 2022/08/01 17:49:33 - mmengine - INFO - Epoch(train) [87][600/940] lr: 1.0000e-04 eta: 2:42:21 time: 0.6923 data_time: 0.0386 memory: 13619 grad_norm: 4.6888 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7808 loss: 0.7808 2022/08/01 17:49:50 - mmengine - INFO - Epoch(train) [87][620/940] lr: 1.0000e-04 eta: 2:42:06 time: 0.8528 data_time: 0.0393 memory: 13619 grad_norm: 4.7191 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8798 loss: 0.8798 2022/08/01 17:50:04 - mmengine - INFO - Epoch(train) [87][640/940] lr: 1.0000e-04 eta: 2:41:50 time: 0.7179 data_time: 0.0447 memory: 13619 grad_norm: 4.6611 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9065 loss: 0.9065 2022/08/01 17:50:21 - mmengine - INFO - Epoch(train) [87][660/940] lr: 1.0000e-04 eta: 2:41:35 time: 0.8528 data_time: 0.0384 memory: 13619 grad_norm: 4.6873 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8933 loss: 0.8933 2022/08/01 17:50:35 - mmengine - INFO - Epoch(train) [87][680/940] lr: 1.0000e-04 eta: 2:41:19 time: 0.7032 data_time: 0.0371 memory: 13619 grad_norm: 4.6411 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9251 loss: 0.9251 2022/08/01 17:50:52 - mmengine - INFO - Epoch(train) [87][700/940] lr: 1.0000e-04 eta: 2:41:04 time: 0.8463 data_time: 0.0339 memory: 13619 grad_norm: 4.6848 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8478 loss: 0.8478 2022/08/01 17:51:05 - mmengine - INFO - Epoch(train) [87][720/940] lr: 1.0000e-04 eta: 2:40:48 time: 0.6669 data_time: 0.0358 memory: 13619 grad_norm: 4.7139 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8123 loss: 0.8123 2022/08/01 17:51:22 - mmengine - INFO - Epoch(train) [87][740/940] lr: 1.0000e-04 eta: 2:40:32 time: 0.8058 data_time: 0.0369 memory: 13619 grad_norm: 4.5612 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8200 loss: 0.8200 2022/08/01 17:51:35 - mmengine - INFO - Epoch(train) [87][760/940] lr: 1.0000e-04 eta: 2:40:17 time: 0.6717 data_time: 0.0329 memory: 13619 grad_norm: 4.7164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9175 loss: 0.9175 2022/08/01 17:51:53 - mmengine - INFO - Epoch(train) [87][780/940] lr: 1.0000e-04 eta: 2:40:01 time: 0.8763 data_time: 0.0612 memory: 13619 grad_norm: 4.7033 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.8297 loss: 0.8297 2022/08/01 17:52:06 - mmengine - INFO - Epoch(train) [87][800/940] lr: 1.0000e-04 eta: 2:39:46 time: 0.6869 data_time: 0.0394 memory: 13619 grad_norm: 4.7408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8662 loss: 0.8662 2022/08/01 17:52:22 - mmengine - INFO - Epoch(train) [87][820/940] lr: 1.0000e-04 eta: 2:39:30 time: 0.7845 data_time: 0.0373 memory: 13619 grad_norm: 4.6217 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9438 loss: 0.9438 2022/08/01 17:52:35 - mmengine - INFO - Epoch(train) [87][840/940] lr: 1.0000e-04 eta: 2:39:14 time: 0.6662 data_time: 0.0524 memory: 13619 grad_norm: 4.6971 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7853 loss: 0.7853 2022/08/01 17:52:53 - mmengine - INFO - Epoch(train) [87][860/940] lr: 1.0000e-04 eta: 2:38:59 time: 0.8714 data_time: 0.0400 memory: 13619 grad_norm: 4.6316 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8960 loss: 0.8960 2022/08/01 17:53:06 - mmengine - INFO - Epoch(train) [87][880/940] lr: 1.0000e-04 eta: 2:38:43 time: 0.6610 data_time: 0.0401 memory: 13619 grad_norm: 4.7477 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8914 loss: 0.8914 2022/08/01 17:53:23 - mmengine - INFO - Epoch(train) [87][900/940] lr: 1.0000e-04 eta: 2:38:28 time: 0.8644 data_time: 0.0472 memory: 13619 grad_norm: 4.6784 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9039 loss: 0.9039 2022/08/01 17:53:37 - mmengine - INFO - Epoch(train) [87][920/940] lr: 1.0000e-04 eta: 2:38:12 time: 0.6918 data_time: 0.0562 memory: 13619 grad_norm: 4.7319 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8653 loss: 0.8653 2022/08/01 17:53:51 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:53:51 - mmengine - INFO - Epoch(train) [87][940/940] lr: 1.0000e-04 eta: 2:37:56 time: 0.7006 data_time: 0.1089 memory: 13619 grad_norm: 4.8968 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9528 loss: 0.9528 2022/08/01 17:53:51 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/08/01 17:54:11 - mmengine - INFO - Epoch(val) [87][20/78] eta: 0:00:50 time: 0.8710 data_time: 0.7785 memory: 2186 2022/08/01 17:54:23 - mmengine - INFO - Epoch(val) [87][40/78] eta: 0:00:23 time: 0.6176 data_time: 0.5253 memory: 2186 2022/08/01 17:54:39 - mmengine - INFO - Epoch(val) [87][60/78] eta: 0:00:14 time: 0.8091 data_time: 0.7124 memory: 2186 2022/08/01 17:54:53 - mmengine - INFO - Epoch(val) [87][78/78] acc/top1: 0.7078 acc/top5: 0.8943 acc/mean1: 0.7077 2022/08/01 17:55:13 - mmengine - INFO - Epoch(train) [88][20/940] lr: 1.0000e-04 eta: 2:37:42 time: 1.0049 data_time: 0.6076 memory: 13619 grad_norm: 4.6291 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8758 loss: 0.8758 2022/08/01 17:55:26 - mmengine - INFO - Epoch(train) [88][40/940] lr: 1.0000e-04 eta: 2:37:26 time: 0.6742 data_time: 0.3666 memory: 13619 grad_norm: 4.7131 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8370 loss: 0.8370 2022/08/01 17:55:44 - mmengine - INFO - Epoch(train) [88][60/940] lr: 1.0000e-04 eta: 2:37:11 time: 0.8897 data_time: 0.5478 memory: 13619 grad_norm: 4.6477 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8703 loss: 0.8703 2022/08/01 17:55:58 - mmengine - INFO - Epoch(train) [88][80/940] lr: 1.0000e-04 eta: 2:36:55 time: 0.7002 data_time: 0.3534 memory: 13619 grad_norm: 4.7075 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8983 loss: 0.8983 2022/08/01 17:56:16 - mmengine - INFO - Epoch(train) [88][100/940] lr: 1.0000e-04 eta: 2:36:40 time: 0.8872 data_time: 0.4389 memory: 13619 grad_norm: 4.6884 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8424 loss: 0.8424 2022/08/01 17:56:29 - mmengine - INFO - Epoch(train) [88][120/940] lr: 1.0000e-04 eta: 2:36:24 time: 0.6434 data_time: 0.2719 memory: 13619 grad_norm: 4.7908 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0104 loss: 1.0104 2022/08/01 17:56:47 - mmengine - INFO - Epoch(train) [88][140/940] lr: 1.0000e-04 eta: 2:36:09 time: 0.9107 data_time: 0.4654 memory: 13619 grad_norm: 4.7099 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9310 loss: 0.9310 2022/08/01 17:57:00 - mmengine - INFO - Epoch(train) [88][160/940] lr: 1.0000e-04 eta: 2:35:53 time: 0.6565 data_time: 0.2585 memory: 13619 grad_norm: 4.7770 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9898 loss: 0.9898 2022/08/01 17:57:19 - mmengine - INFO - Epoch(train) [88][180/940] lr: 1.0000e-04 eta: 2:35:38 time: 0.9548 data_time: 0.3110 memory: 13619 grad_norm: 4.5218 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7970 loss: 0.7970 2022/08/01 17:57:32 - mmengine - INFO - Epoch(train) [88][200/940] lr: 1.0000e-04 eta: 2:35:22 time: 0.6416 data_time: 0.0653 memory: 13619 grad_norm: 4.7089 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8548 loss: 0.8548 2022/08/01 17:57:48 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 17:57:48 - mmengine - INFO - Epoch(train) [88][220/940] lr: 1.0000e-04 eta: 2:35:07 time: 0.7893 data_time: 0.2228 memory: 13619 grad_norm: 4.7031 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8704 loss: 0.8704 2022/08/01 17:58:01 - mmengine - INFO - Epoch(train) [88][240/940] lr: 1.0000e-04 eta: 2:34:51 time: 0.6444 data_time: 0.2723 memory: 13619 grad_norm: 4.5874 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7773 loss: 0.7773 2022/08/01 17:58:18 - mmengine - INFO - Epoch(train) [88][260/940] lr: 1.0000e-04 eta: 2:34:35 time: 0.8718 data_time: 0.2729 memory: 13619 grad_norm: 4.7358 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.8485 loss: 0.8485 2022/08/01 17:58:32 - mmengine - INFO - Epoch(train) [88][280/940] lr: 1.0000e-04 eta: 2:34:20 time: 0.7055 data_time: 0.1332 memory: 13619 grad_norm: 4.5861 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8704 loss: 0.8704 2022/08/01 17:58:50 - mmengine - INFO - Epoch(train) [88][300/940] lr: 1.0000e-04 eta: 2:34:04 time: 0.8632 data_time: 0.0439 memory: 13619 grad_norm: 4.7290 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8031 loss: 0.8031 2022/08/01 17:59:02 - mmengine - INFO - Epoch(train) [88][320/940] lr: 1.0000e-04 eta: 2:33:48 time: 0.6042 data_time: 0.0763 memory: 13619 grad_norm: 4.5134 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8290 loss: 0.8290 2022/08/01 17:59:18 - mmengine - INFO - Epoch(train) [88][340/940] lr: 1.0000e-04 eta: 2:33:33 time: 0.8155 data_time: 0.2036 memory: 13619 grad_norm: 4.7082 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8653 loss: 0.8653 2022/08/01 17:59:33 - mmengine - INFO - Epoch(train) [88][360/940] lr: 1.0000e-04 eta: 2:33:17 time: 0.7405 data_time: 0.0658 memory: 13619 grad_norm: 4.6402 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8520 loss: 0.8520 2022/08/01 17:59:50 - mmengine - INFO - Epoch(train) [88][380/940] lr: 1.0000e-04 eta: 2:33:02 time: 0.8437 data_time: 0.0397 memory: 13619 grad_norm: 4.7024 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8878 loss: 0.8878 2022/08/01 18:00:07 - mmengine - INFO - Epoch(train) [88][400/940] lr: 1.0000e-04 eta: 2:32:47 time: 0.8464 data_time: 0.0344 memory: 13619 grad_norm: 4.6626 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8172 loss: 0.8172 2022/08/01 18:00:22 - mmengine - INFO - Epoch(train) [88][420/940] lr: 1.0000e-04 eta: 2:32:31 time: 0.7579 data_time: 0.0390 memory: 13619 grad_norm: 4.6819 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8660 loss: 0.8660 2022/08/01 18:00:38 - mmengine - INFO - Epoch(train) [88][440/940] lr: 1.0000e-04 eta: 2:32:16 time: 0.8177 data_time: 0.0604 memory: 13619 grad_norm: 4.7741 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8922 loss: 0.8922 2022/08/01 18:00:53 - mmengine - INFO - Epoch(train) [88][460/940] lr: 1.0000e-04 eta: 2:32:00 time: 0.7242 data_time: 0.0490 memory: 13619 grad_norm: 4.8023 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9494 loss: 0.9494 2022/08/01 18:01:09 - mmengine - INFO - Epoch(train) [88][480/940] lr: 1.0000e-04 eta: 2:31:45 time: 0.7844 data_time: 0.0412 memory: 13619 grad_norm: 4.7516 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8171 loss: 0.8171 2022/08/01 18:01:24 - mmengine - INFO - Epoch(train) [88][500/940] lr: 1.0000e-04 eta: 2:31:29 time: 0.7622 data_time: 0.0617 memory: 13619 grad_norm: 4.6484 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8436 loss: 0.8436 2022/08/01 18:01:39 - mmengine - INFO - Epoch(train) [88][520/940] lr: 1.0000e-04 eta: 2:31:14 time: 0.7574 data_time: 0.0396 memory: 13619 grad_norm: 4.6731 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8688 loss: 0.8688 2022/08/01 18:01:55 - mmengine - INFO - Epoch(train) [88][540/940] lr: 1.0000e-04 eta: 2:30:58 time: 0.8081 data_time: 0.0486 memory: 13619 grad_norm: 4.6240 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8482 loss: 0.8482 2022/08/01 18:02:11 - mmengine - INFO - Epoch(train) [88][560/940] lr: 1.0000e-04 eta: 2:30:43 time: 0.7751 data_time: 0.0492 memory: 13619 grad_norm: 4.5745 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7609 loss: 0.7609 2022/08/01 18:02:25 - mmengine - INFO - Epoch(train) [88][580/940] lr: 1.0000e-04 eta: 2:30:27 time: 0.7356 data_time: 0.0374 memory: 13619 grad_norm: 4.6312 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8214 loss: 0.8214 2022/08/01 18:02:39 - mmengine - INFO - Epoch(train) [88][600/940] lr: 1.0000e-04 eta: 2:30:11 time: 0.7023 data_time: 0.0377 memory: 13619 grad_norm: 4.6678 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8366 loss: 0.8366 2022/08/01 18:02:57 - mmengine - INFO - Epoch(train) [88][620/940] lr: 1.0000e-04 eta: 2:29:56 time: 0.8749 data_time: 0.0388 memory: 13619 grad_norm: 4.6786 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.9478 loss: 0.9478 2022/08/01 18:03:12 - mmengine - INFO - Epoch(train) [88][640/940] lr: 1.0000e-04 eta: 2:29:40 time: 0.7292 data_time: 0.0445 memory: 13619 grad_norm: 4.6884 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8230 loss: 0.8230 2022/08/01 18:03:27 - mmengine - INFO - Epoch(train) [88][660/940] lr: 1.0000e-04 eta: 2:29:25 time: 0.7904 data_time: 0.0348 memory: 13619 grad_norm: 4.5751 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8624 loss: 0.8624 2022/08/01 18:03:42 - mmengine - INFO - Epoch(train) [88][680/940] lr: 1.0000e-04 eta: 2:29:09 time: 0.7410 data_time: 0.0401 memory: 13619 grad_norm: 4.6204 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8249 loss: 0.8249 2022/08/01 18:03:57 - mmengine - INFO - Epoch(train) [88][700/940] lr: 1.0000e-04 eta: 2:28:54 time: 0.7550 data_time: 0.0354 memory: 13619 grad_norm: 4.6809 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8781 loss: 0.8781 2022/08/01 18:04:12 - mmengine - INFO - Epoch(train) [88][720/940] lr: 1.0000e-04 eta: 2:28:38 time: 0.7110 data_time: 0.0398 memory: 13619 grad_norm: 4.6902 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8476 loss: 0.8476 2022/08/01 18:04:27 - mmengine - INFO - Epoch(train) [88][740/940] lr: 1.0000e-04 eta: 2:28:23 time: 0.7982 data_time: 0.0362 memory: 13619 grad_norm: 4.5705 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8018 loss: 0.8018 2022/08/01 18:04:42 - mmengine - INFO - Epoch(train) [88][760/940] lr: 1.0000e-04 eta: 2:28:07 time: 0.7247 data_time: 0.0369 memory: 13619 grad_norm: 4.7545 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8038 loss: 0.8038 2022/08/01 18:05:00 - mmengine - INFO - Epoch(train) [88][780/940] lr: 1.0000e-04 eta: 2:27:52 time: 0.8847 data_time: 0.0391 memory: 13619 grad_norm: 4.6828 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/01 18:05:13 - mmengine - INFO - Epoch(train) [88][800/940] lr: 1.0000e-04 eta: 2:27:36 time: 0.6829 data_time: 0.0361 memory: 13619 grad_norm: 4.5299 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7833 loss: 0.7833 2022/08/01 18:05:30 - mmengine - INFO - Epoch(train) [88][820/940] lr: 1.0000e-04 eta: 2:27:21 time: 0.8154 data_time: 0.0396 memory: 13619 grad_norm: 4.7100 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9720 loss: 0.9720 2022/08/01 18:05:44 - mmengine - INFO - Epoch(train) [88][840/940] lr: 1.0000e-04 eta: 2:27:05 time: 0.7221 data_time: 0.0419 memory: 13619 grad_norm: 4.6652 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8354 loss: 0.8354 2022/08/01 18:06:00 - mmengine - INFO - Epoch(train) [88][860/940] lr: 1.0000e-04 eta: 2:26:50 time: 0.8188 data_time: 0.0371 memory: 13619 grad_norm: 4.7025 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7604 loss: 0.7604 2022/08/01 18:06:14 - mmengine - INFO - Epoch(train) [88][880/940] lr: 1.0000e-04 eta: 2:26:34 time: 0.6961 data_time: 0.0546 memory: 13619 grad_norm: 4.7296 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8565 loss: 0.8565 2022/08/01 18:06:30 - mmengine - INFO - Epoch(train) [88][900/940] lr: 1.0000e-04 eta: 2:26:18 time: 0.7969 data_time: 0.0387 memory: 13619 grad_norm: 4.6421 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8910 loss: 0.8910 2022/08/01 18:06:45 - mmengine - INFO - Epoch(train) [88][920/940] lr: 1.0000e-04 eta: 2:26:03 time: 0.7234 data_time: 0.0449 memory: 13619 grad_norm: 4.7004 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8477 loss: 0.8477 2022/08/01 18:06:57 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 18:06:57 - mmengine - INFO - Epoch(train) [88][940/940] lr: 1.0000e-04 eta: 2:25:47 time: 0.6211 data_time: 0.0287 memory: 13619 grad_norm: 5.1152 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8084 loss: 0.8084 2022/08/01 18:07:15 - mmengine - INFO - Epoch(val) [88][20/78] eta: 0:00:50 time: 0.8642 data_time: 0.7682 memory: 2186 2022/08/01 18:07:27 - mmengine - INFO - Epoch(val) [88][40/78] eta: 0:00:22 time: 0.5972 data_time: 0.4824 memory: 2186 2022/08/01 18:07:43 - mmengine - INFO - Epoch(val) [88][60/78] eta: 0:00:14 time: 0.8175 data_time: 0.7222 memory: 2186 2022/08/01 18:07:56 - mmengine - INFO - Epoch(val) [88][78/78] acc/top1: 0.7078 acc/top5: 0.8936 acc/mean1: 0.7077 2022/08/01 18:08:16 - mmengine - INFO - Epoch(train) [89][20/940] lr: 1.0000e-04 eta: 2:25:32 time: 0.9825 data_time: 0.6517 memory: 13619 grad_norm: 4.6180 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9115 loss: 0.9115 2022/08/01 18:08:29 - mmengine - INFO - Epoch(train) [89][40/940] lr: 1.0000e-04 eta: 2:25:16 time: 0.6658 data_time: 0.2773 memory: 13619 grad_norm: 4.7209 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7882 loss: 0.7882 2022/08/01 18:08:46 - mmengine - INFO - Epoch(train) [89][60/940] lr: 1.0000e-04 eta: 2:25:01 time: 0.8365 data_time: 0.4280 memory: 13619 grad_norm: 4.6617 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9044 loss: 0.9044 2022/08/01 18:08:59 - mmengine - INFO - Epoch(train) [89][80/940] lr: 1.0000e-04 eta: 2:24:45 time: 0.6621 data_time: 0.2904 memory: 13619 grad_norm: 4.6236 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8615 loss: 0.8615 2022/08/01 18:09:16 - mmengine - INFO - Epoch(train) [89][100/940] lr: 1.0000e-04 eta: 2:24:30 time: 0.8508 data_time: 0.2285 memory: 13619 grad_norm: 4.6114 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8064 loss: 0.8064 2022/08/01 18:09:30 - mmengine - INFO - Epoch(train) [89][120/940] lr: 1.0000e-04 eta: 2:24:14 time: 0.6734 data_time: 0.1168 memory: 13619 grad_norm: 4.6460 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8063 loss: 0.8063 2022/08/01 18:09:48 - mmengine - INFO - Epoch(train) [89][140/940] lr: 1.0000e-04 eta: 2:23:59 time: 0.8872 data_time: 0.0679 memory: 13619 grad_norm: 4.6449 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8402 loss: 0.8402 2022/08/01 18:10:02 - mmengine - INFO - Epoch(train) [89][160/940] lr: 1.0000e-04 eta: 2:23:43 time: 0.7084 data_time: 0.0289 memory: 13619 grad_norm: 4.5566 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8341 loss: 0.8341 2022/08/01 18:10:20 - mmengine - INFO - Epoch(train) [89][180/940] lr: 1.0000e-04 eta: 2:23:28 time: 0.9093 data_time: 0.0396 memory: 13619 grad_norm: 4.6289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8209 loss: 0.8209 2022/08/01 18:10:33 - mmengine - INFO - Epoch(train) [89][200/940] lr: 1.0000e-04 eta: 2:23:12 time: 0.6584 data_time: 0.0286 memory: 13619 grad_norm: 4.5801 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8750 loss: 0.8750 2022/08/01 18:10:51 - mmengine - INFO - Epoch(train) [89][220/940] lr: 1.0000e-04 eta: 2:22:57 time: 0.8981 data_time: 0.0384 memory: 13619 grad_norm: 4.6519 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8263 loss: 0.8263 2022/08/01 18:11:04 - mmengine - INFO - Epoch(train) [89][240/940] lr: 1.0000e-04 eta: 2:22:41 time: 0.6413 data_time: 0.0294 memory: 13619 grad_norm: 4.7320 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8648 loss: 0.8648 2022/08/01 18:11:22 - mmengine - INFO - Epoch(train) [89][260/940] lr: 1.0000e-04 eta: 2:22:26 time: 0.8982 data_time: 0.0345 memory: 13619 grad_norm: 4.6210 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9039 loss: 0.9039 2022/08/01 18:11:35 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 18:11:35 - mmengine - INFO - Epoch(train) [89][280/940] lr: 1.0000e-04 eta: 2:22:10 time: 0.6502 data_time: 0.0429 memory: 13619 grad_norm: 4.6906 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8148 loss: 0.8148 2022/08/01 18:11:52 - mmengine - INFO - Epoch(train) [89][300/940] lr: 1.0000e-04 eta: 2:21:55 time: 0.8517 data_time: 0.0360 memory: 13619 grad_norm: 4.7415 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9181 loss: 0.9181 2022/08/01 18:12:06 - mmengine - INFO - Epoch(train) [89][320/940] lr: 1.0000e-04 eta: 2:21:39 time: 0.6851 data_time: 0.0400 memory: 13619 grad_norm: 4.6119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8470 loss: 0.8470 2022/08/01 18:12:22 - mmengine - INFO - Epoch(train) [89][340/940] lr: 1.0000e-04 eta: 2:21:23 time: 0.8183 data_time: 0.0344 memory: 13619 grad_norm: 4.7222 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8558 loss: 0.8558 2022/08/01 18:12:36 - mmengine - INFO - Epoch(train) [89][360/940] lr: 1.0000e-04 eta: 2:21:08 time: 0.6943 data_time: 0.0401 memory: 13619 grad_norm: 4.5309 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8915 loss: 0.8915 2022/08/01 18:12:53 - mmengine - INFO - Epoch(train) [89][380/940] lr: 1.0000e-04 eta: 2:20:52 time: 0.8316 data_time: 0.0400 memory: 13619 grad_norm: 4.6179 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8328 loss: 0.8328 2022/08/01 18:13:07 - mmengine - INFO - Epoch(train) [89][400/940] lr: 1.0000e-04 eta: 2:20:37 time: 0.7186 data_time: 0.0317 memory: 13619 grad_norm: 4.6276 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8412 loss: 0.8412 2022/08/01 18:13:25 - mmengine - INFO - Epoch(train) [89][420/940] lr: 1.0000e-04 eta: 2:20:21 time: 0.8952 data_time: 0.0732 memory: 13619 grad_norm: 4.5836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8662 loss: 0.8662 2022/08/01 18:13:37 - mmengine - INFO - Epoch(train) [89][440/940] lr: 1.0000e-04 eta: 2:20:06 time: 0.6190 data_time: 0.0406 memory: 13619 grad_norm: 4.7266 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9455 loss: 0.9455 2022/08/01 18:13:55 - mmengine - INFO - Epoch(train) [89][460/940] lr: 1.0000e-04 eta: 2:19:50 time: 0.8978 data_time: 0.0456 memory: 13619 grad_norm: 4.6834 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9282 loss: 0.9282 2022/08/01 18:14:09 - mmengine - INFO - Epoch(train) [89][480/940] lr: 1.0000e-04 eta: 2:19:35 time: 0.6859 data_time: 0.0335 memory: 13619 grad_norm: 4.5870 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8973 loss: 0.8973 2022/08/01 18:14:26 - mmengine - INFO - Epoch(train) [89][500/940] lr: 1.0000e-04 eta: 2:19:19 time: 0.8442 data_time: 0.0323 memory: 13619 grad_norm: 4.5409 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7476 loss: 0.7476 2022/08/01 18:14:39 - mmengine - INFO - Epoch(train) [89][520/940] lr: 1.0000e-04 eta: 2:19:03 time: 0.6666 data_time: 0.0372 memory: 13619 grad_norm: 4.5695 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8568 loss: 0.8568 2022/08/01 18:14:55 - mmengine - INFO - Epoch(train) [89][540/940] lr: 1.0000e-04 eta: 2:18:48 time: 0.8157 data_time: 0.0371 memory: 13619 grad_norm: 4.6983 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7671 loss: 0.7671 2022/08/01 18:15:08 - mmengine - INFO - Epoch(train) [89][560/940] lr: 1.0000e-04 eta: 2:18:32 time: 0.6167 data_time: 0.0425 memory: 13619 grad_norm: 4.7533 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9909 loss: 0.9909 2022/08/01 18:15:25 - mmengine - INFO - Epoch(train) [89][580/940] lr: 1.0000e-04 eta: 2:18:17 time: 0.8667 data_time: 0.1784 memory: 13619 grad_norm: 4.6118 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7580 loss: 0.7580 2022/08/01 18:15:39 - mmengine - INFO - Epoch(train) [89][600/940] lr: 1.0000e-04 eta: 2:18:01 time: 0.6996 data_time: 0.1333 memory: 13619 grad_norm: 4.7350 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8220 loss: 0.8220 2022/08/01 18:15:56 - mmengine - INFO - Epoch(train) [89][620/940] lr: 1.0000e-04 eta: 2:17:46 time: 0.8314 data_time: 0.2221 memory: 13619 grad_norm: 4.5747 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9017 loss: 0.9017 2022/08/01 18:16:10 - mmengine - INFO - Epoch(train) [89][640/940] lr: 1.0000e-04 eta: 2:17:30 time: 0.6849 data_time: 0.1217 memory: 13619 grad_norm: 4.6282 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8593 loss: 0.8593 2022/08/01 18:16:26 - mmengine - INFO - Epoch(train) [89][660/940] lr: 1.0000e-04 eta: 2:17:15 time: 0.8227 data_time: 0.2527 memory: 13619 grad_norm: 4.6744 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8064 loss: 0.8064 2022/08/01 18:16:40 - mmengine - INFO - Epoch(train) [89][680/940] lr: 1.0000e-04 eta: 2:16:59 time: 0.6914 data_time: 0.1628 memory: 13619 grad_norm: 4.6690 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7240 loss: 0.7240 2022/08/01 18:16:56 - mmengine - INFO - Epoch(train) [89][700/940] lr: 1.0000e-04 eta: 2:16:44 time: 0.8081 data_time: 0.1740 memory: 13619 grad_norm: 4.8109 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7765 loss: 0.7765 2022/08/01 18:17:11 - mmengine - INFO - Epoch(train) [89][720/940] lr: 1.0000e-04 eta: 2:16:28 time: 0.7350 data_time: 0.1616 memory: 13619 grad_norm: 4.6453 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8957 loss: 0.8957 2022/08/01 18:17:28 - mmengine - INFO - Epoch(train) [89][740/940] lr: 1.0000e-04 eta: 2:16:13 time: 0.8561 data_time: 0.0395 memory: 13619 grad_norm: 4.6982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9076 loss: 0.9076 2022/08/01 18:17:42 - mmengine - INFO - Epoch(train) [89][760/940] lr: 1.0000e-04 eta: 2:15:57 time: 0.7170 data_time: 0.0317 memory: 13619 grad_norm: 4.7483 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8566 loss: 0.8566 2022/08/01 18:17:59 - mmengine - INFO - Epoch(train) [89][780/940] lr: 1.0000e-04 eta: 2:15:42 time: 0.8433 data_time: 0.0373 memory: 13619 grad_norm: 4.6458 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8317 loss: 0.8317 2022/08/01 18:18:13 - mmengine - INFO - Epoch(train) [89][800/940] lr: 1.0000e-04 eta: 2:15:26 time: 0.7036 data_time: 0.0396 memory: 13619 grad_norm: 4.5889 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9117 loss: 0.9117 2022/08/01 18:18:30 - mmengine - INFO - Epoch(train) [89][820/940] lr: 1.0000e-04 eta: 2:15:11 time: 0.8503 data_time: 0.0319 memory: 13619 grad_norm: 4.6924 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8899 loss: 0.8899 2022/08/01 18:18:44 - mmengine - INFO - Epoch(train) [89][840/940] lr: 1.0000e-04 eta: 2:14:55 time: 0.7027 data_time: 0.0466 memory: 13619 grad_norm: 4.6438 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8673 loss: 0.8673 2022/08/01 18:19:01 - mmengine - INFO - Epoch(train) [89][860/940] lr: 1.0000e-04 eta: 2:14:40 time: 0.8169 data_time: 0.0369 memory: 13619 grad_norm: 4.7138 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7661 loss: 0.7661 2022/08/01 18:19:14 - mmengine - INFO - Epoch(train) [89][880/940] lr: 1.0000e-04 eta: 2:14:24 time: 0.6744 data_time: 0.0374 memory: 13619 grad_norm: 4.7157 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8602 loss: 0.8602 2022/08/01 18:19:33 - mmengine - INFO - Epoch(train) [89][900/940] lr: 1.0000e-04 eta: 2:14:09 time: 0.9339 data_time: 0.0397 memory: 13619 grad_norm: 4.6125 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8627 loss: 0.8627 2022/08/01 18:19:46 - mmengine - INFO - Epoch(train) [89][920/940] lr: 1.0000e-04 eta: 2:13:53 time: 0.6502 data_time: 0.0384 memory: 13619 grad_norm: 4.7171 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9388 loss: 0.9388 2022/08/01 18:19:57 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 18:19:57 - mmengine - INFO - Epoch(train) [89][940/940] lr: 1.0000e-04 eta: 2:13:37 time: 0.5859 data_time: 0.0266 memory: 13619 grad_norm: 5.1030 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8708 loss: 0.8708 2022/08/01 18:20:15 - mmengine - INFO - Epoch(val) [89][20/78] eta: 0:00:49 time: 0.8551 data_time: 0.7614 memory: 2186 2022/08/01 18:20:27 - mmengine - INFO - Epoch(val) [89][40/78] eta: 0:00:23 time: 0.6090 data_time: 0.5121 memory: 2186 2022/08/01 18:20:43 - mmengine - INFO - Epoch(val) [89][60/78] eta: 0:00:14 time: 0.8303 data_time: 0.7355 memory: 2186 2022/08/01 18:20:56 - mmengine - INFO - Epoch(val) [89][78/78] acc/top1: 0.7072 acc/top5: 0.8943 acc/mean1: 0.7071 2022/08/01 18:21:16 - mmengine - INFO - Epoch(train) [90][20/940] lr: 1.0000e-04 eta: 2:13:22 time: 1.0008 data_time: 0.4966 memory: 13619 grad_norm: 4.7249 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8201 loss: 0.8201 2022/08/01 18:21:30 - mmengine - INFO - Epoch(train) [90][40/940] lr: 1.0000e-04 eta: 2:13:06 time: 0.6670 data_time: 0.1663 memory: 13619 grad_norm: 4.7053 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8659 loss: 0.8659 2022/08/01 18:21:47 - mmengine - INFO - Epoch(train) [90][60/940] lr: 1.0000e-04 eta: 2:12:51 time: 0.8462 data_time: 0.1408 memory: 13619 grad_norm: 4.7940 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8489 loss: 0.8489 2022/08/01 18:22:00 - mmengine - INFO - Epoch(train) [90][80/940] lr: 1.0000e-04 eta: 2:12:35 time: 0.6600 data_time: 0.1928 memory: 13619 grad_norm: 4.7717 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8395 loss: 0.8395 2022/08/01 18:22:18 - mmengine - INFO - Epoch(train) [90][100/940] lr: 1.0000e-04 eta: 2:12:20 time: 0.9027 data_time: 0.3298 memory: 13619 grad_norm: 4.6986 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8444 loss: 0.8444 2022/08/01 18:22:31 - mmengine - INFO - Epoch(train) [90][120/940] lr: 1.0000e-04 eta: 2:12:04 time: 0.6744 data_time: 0.2324 memory: 13619 grad_norm: 4.7295 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9197 loss: 0.9197 2022/08/01 18:22:48 - mmengine - INFO - Epoch(train) [90][140/940] lr: 1.0000e-04 eta: 2:11:49 time: 0.8272 data_time: 0.2091 memory: 13619 grad_norm: 4.5657 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8549 loss: 0.8549 2022/08/01 18:23:01 - mmengine - INFO - Epoch(train) [90][160/940] lr: 1.0000e-04 eta: 2:11:33 time: 0.6526 data_time: 0.1406 memory: 13619 grad_norm: 4.6550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8261 loss: 0.8261 2022/08/01 18:23:18 - mmengine - INFO - Epoch(train) [90][180/940] lr: 1.0000e-04 eta: 2:11:17 time: 0.8385 data_time: 0.3123 memory: 13619 grad_norm: 4.7844 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8634 loss: 0.8634 2022/08/01 18:23:32 - mmengine - INFO - Epoch(train) [90][200/940] lr: 1.0000e-04 eta: 2:11:02 time: 0.6842 data_time: 0.2370 memory: 13619 grad_norm: 4.5429 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8348 loss: 0.8348 2022/08/01 18:23:48 - mmengine - INFO - Epoch(train) [90][220/940] lr: 1.0000e-04 eta: 2:10:46 time: 0.8311 data_time: 0.1952 memory: 13619 grad_norm: 4.5864 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8893 loss: 0.8893 2022/08/01 18:24:02 - mmengine - INFO - Epoch(train) [90][240/940] lr: 1.0000e-04 eta: 2:10:31 time: 0.6931 data_time: 0.0586 memory: 13619 grad_norm: 4.7353 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8314 loss: 0.8314 2022/08/01 18:24:18 - mmengine - INFO - Epoch(train) [90][260/940] lr: 1.0000e-04 eta: 2:10:15 time: 0.8075 data_time: 0.1202 memory: 13619 grad_norm: 4.6361 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7754 loss: 0.7754 2022/08/01 18:24:33 - mmengine - INFO - Epoch(train) [90][280/940] lr: 1.0000e-04 eta: 2:10:00 time: 0.7443 data_time: 0.0322 memory: 13619 grad_norm: 4.7873 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8515 loss: 0.8515 2022/08/01 18:24:49 - mmengine - INFO - Epoch(train) [90][300/940] lr: 1.0000e-04 eta: 2:09:44 time: 0.8100 data_time: 0.0619 memory: 13619 grad_norm: 4.6395 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9300 loss: 0.9300 2022/08/01 18:25:03 - mmengine - INFO - Epoch(train) [90][320/940] lr: 1.0000e-04 eta: 2:09:29 time: 0.6934 data_time: 0.0529 memory: 13619 grad_norm: 4.6381 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9101 loss: 0.9101 2022/08/01 18:25:20 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 18:25:20 - mmengine - INFO - Epoch(train) [90][340/940] lr: 1.0000e-04 eta: 2:09:13 time: 0.8214 data_time: 0.0489 memory: 13619 grad_norm: 4.5936 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8608 loss: 0.8608 2022/08/01 18:25:34 - mmengine - INFO - Epoch(train) [90][360/940] lr: 1.0000e-04 eta: 2:08:58 time: 0.7333 data_time: 0.0346 memory: 13619 grad_norm: 4.6825 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8843 loss: 0.8843 2022/08/01 18:25:51 - mmengine - INFO - Epoch(train) [90][380/940] lr: 1.0000e-04 eta: 2:08:42 time: 0.8168 data_time: 0.0341 memory: 13619 grad_norm: 4.7577 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8722 loss: 0.8722 2022/08/01 18:26:05 - mmengine - INFO - Epoch(train) [90][400/940] lr: 1.0000e-04 eta: 2:08:26 time: 0.7068 data_time: 0.0341 memory: 13619 grad_norm: 4.5823 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8114 loss: 0.8114 2022/08/01 18:26:22 - mmengine - INFO - Epoch(train) [90][420/940] lr: 1.0000e-04 eta: 2:08:11 time: 0.8622 data_time: 0.0383 memory: 13619 grad_norm: 4.7305 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8177 loss: 0.8177 2022/08/01 18:26:37 - mmengine - INFO - Epoch(train) [90][440/940] lr: 1.0000e-04 eta: 2:07:56 time: 0.7265 data_time: 0.0357 memory: 13619 grad_norm: 4.7256 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/01 18:26:54 - mmengine - INFO - Epoch(train) [90][460/940] lr: 1.0000e-04 eta: 2:07:40 time: 0.8488 data_time: 0.0438 memory: 13619 grad_norm: 4.5342 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8845 loss: 0.8845 2022/08/01 18:27:07 - mmengine - INFO - Epoch(train) [90][480/940] lr: 1.0000e-04 eta: 2:07:24 time: 0.6758 data_time: 0.0399 memory: 13619 grad_norm: 4.7254 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7993 loss: 0.7993 2022/08/01 18:27:25 - mmengine - INFO - Epoch(train) [90][500/940] lr: 1.0000e-04 eta: 2:07:09 time: 0.8982 data_time: 0.0347 memory: 13619 grad_norm: 4.6973 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8208 loss: 0.8208 2022/08/01 18:27:39 - mmengine - INFO - Epoch(train) [90][520/940] lr: 1.0000e-04 eta: 2:06:53 time: 0.6717 data_time: 0.0371 memory: 13619 grad_norm: 4.6628 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9152 loss: 0.9152 2022/08/01 18:27:54 - mmengine - INFO - Epoch(train) [90][540/940] lr: 1.0000e-04 eta: 2:06:38 time: 0.7779 data_time: 0.0427 memory: 13619 grad_norm: 4.6931 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.8383 loss: 0.8383 2022/08/01 18:28:09 - mmengine - INFO - Epoch(train) [90][560/940] lr: 1.0000e-04 eta: 2:06:22 time: 0.7540 data_time: 0.0350 memory: 13619 grad_norm: 4.5536 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8205 loss: 0.8205 2022/08/01 18:28:24 - mmengine - INFO - Epoch(train) [90][580/940] lr: 1.0000e-04 eta: 2:06:07 time: 0.7482 data_time: 0.0379 memory: 13619 grad_norm: 4.6563 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9036 loss: 0.9036 2022/08/01 18:28:40 - mmengine - INFO - Epoch(train) [90][600/940] lr: 1.0000e-04 eta: 2:05:51 time: 0.7823 data_time: 0.0453 memory: 13619 grad_norm: 4.7270 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8916 loss: 0.8916 2022/08/01 18:28:54 - mmengine - INFO - Epoch(train) [90][620/940] lr: 1.0000e-04 eta: 2:05:36 time: 0.6998 data_time: 0.0493 memory: 13619 grad_norm: 4.7424 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8362 loss: 0.8362 2022/08/01 18:29:10 - mmengine - INFO - Epoch(train) [90][640/940] lr: 1.0000e-04 eta: 2:05:20 time: 0.8107 data_time: 0.0395 memory: 13619 grad_norm: 4.6536 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8068 loss: 0.8068 2022/08/01 18:29:25 - mmengine - INFO - Epoch(train) [90][660/940] lr: 1.0000e-04 eta: 2:05:05 time: 0.7621 data_time: 0.0371 memory: 13619 grad_norm: 4.8122 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9509 loss: 0.9509 2022/08/01 18:29:40 - mmengine - INFO - Epoch(train) [90][680/940] lr: 1.0000e-04 eta: 2:04:49 time: 0.7140 data_time: 0.0435 memory: 13619 grad_norm: 4.6809 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9253 loss: 0.9253 2022/08/01 18:29:56 - mmengine - INFO - Epoch(train) [90][700/940] lr: 1.0000e-04 eta: 2:04:34 time: 0.8070 data_time: 0.0378 memory: 13619 grad_norm: 4.6298 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8963 loss: 0.8963 2022/08/01 18:30:11 - mmengine - INFO - Epoch(train) [90][720/940] lr: 1.0000e-04 eta: 2:04:18 time: 0.7514 data_time: 0.0426 memory: 13619 grad_norm: 4.7036 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8733 loss: 0.8733 2022/08/01 18:30:26 - mmengine - INFO - Epoch(train) [90][740/940] lr: 1.0000e-04 eta: 2:04:03 time: 0.7468 data_time: 0.0356 memory: 13619 grad_norm: 4.5756 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9073 loss: 0.9073 2022/08/01 18:30:41 - mmengine - INFO - Epoch(train) [90][760/940] lr: 1.0000e-04 eta: 2:03:47 time: 0.7776 data_time: 0.0411 memory: 13619 grad_norm: 4.6999 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9034 loss: 0.9034 2022/08/01 18:30:57 - mmengine - INFO - Epoch(train) [90][780/940] lr: 1.0000e-04 eta: 2:03:32 time: 0.7868 data_time: 0.0395 memory: 13619 grad_norm: 4.7658 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8247 loss: 0.8247 2022/08/01 18:31:13 - mmengine - INFO - Epoch(train) [90][800/940] lr: 1.0000e-04 eta: 2:03:16 time: 0.7759 data_time: 0.0397 memory: 13619 grad_norm: 4.6121 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9131 loss: 0.9131 2022/08/01 18:31:27 - mmengine - INFO - Epoch(train) [90][820/940] lr: 1.0000e-04 eta: 2:03:00 time: 0.7361 data_time: 0.0378 memory: 13619 grad_norm: 4.7943 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7773 loss: 0.7773 2022/08/01 18:31:43 - mmengine - INFO - Epoch(train) [90][840/940] lr: 1.0000e-04 eta: 2:02:45 time: 0.7668 data_time: 0.0335 memory: 13619 grad_norm: 4.6628 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8468 loss: 0.8468 2022/08/01 18:31:58 - mmengine - INFO - Epoch(train) [90][860/940] lr: 1.0000e-04 eta: 2:02:29 time: 0.7822 data_time: 0.0400 memory: 13619 grad_norm: 4.7332 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.7948 loss: 0.7948 2022/08/01 18:32:13 - mmengine - INFO - Epoch(train) [90][880/940] lr: 1.0000e-04 eta: 2:02:14 time: 0.7420 data_time: 0.0388 memory: 13619 grad_norm: 4.7003 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7955 loss: 0.7955 2022/08/01 18:32:29 - mmengine - INFO - Epoch(train) [90][900/940] lr: 1.0000e-04 eta: 2:01:58 time: 0.7769 data_time: 0.0413 memory: 13619 grad_norm: 4.6124 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8487 loss: 0.8487 2022/08/01 18:32:44 - mmengine - INFO - Epoch(train) [90][920/940] lr: 1.0000e-04 eta: 2:01:43 time: 0.7693 data_time: 0.0424 memory: 13619 grad_norm: 4.6831 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9321 loss: 0.9321 2022/08/01 18:32:58 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 18:32:58 - mmengine - INFO - Epoch(train) [90][940/940] lr: 1.0000e-04 eta: 2:01:27 time: 0.6728 data_time: 0.0256 memory: 13619 grad_norm: 4.9852 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8087 loss: 0.8087 2022/08/01 18:32:58 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/08/01 18:33:17 - mmengine - INFO - Epoch(val) [90][20/78] eta: 0:00:50 time: 0.8629 data_time: 0.7680 memory: 2186 2022/08/01 18:33:29 - mmengine - INFO - Epoch(val) [90][40/78] eta: 0:00:22 time: 0.5979 data_time: 0.4943 memory: 2186 2022/08/01 18:33:46 - mmengine - INFO - Epoch(val) [90][60/78] eta: 0:00:14 time: 0.8205 data_time: 0.7277 memory: 2186 2022/08/01 18:33:58 - mmengine - INFO - Epoch(val) [90][78/78] acc/top1: 0.7068 acc/top5: 0.8940 acc/mean1: 0.7067 2022/08/01 18:34:18 - mmengine - INFO - Epoch(train) [91][20/940] lr: 1.0000e-04 eta: 2:01:12 time: 0.9885 data_time: 0.4818 memory: 13619 grad_norm: 4.6550 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6921 loss: 0.6921 2022/08/01 18:34:31 - mmengine - INFO - Epoch(train) [91][40/940] lr: 1.0000e-04 eta: 2:00:56 time: 0.6826 data_time: 0.1632 memory: 13619 grad_norm: 4.7632 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8218 loss: 0.8218 2022/08/01 18:34:50 - mmengine - INFO - Epoch(train) [91][60/940] lr: 1.0000e-04 eta: 2:00:41 time: 0.9428 data_time: 0.1405 memory: 13619 grad_norm: 4.6482 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7151 loss: 0.7151 2022/08/01 18:35:04 - mmengine - INFO - Epoch(train) [91][80/940] lr: 1.0000e-04 eta: 2:00:25 time: 0.6741 data_time: 0.0419 memory: 13619 grad_norm: 4.6092 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8422 loss: 0.8422 2022/08/01 18:35:20 - mmengine - INFO - Epoch(train) [91][100/940] lr: 1.0000e-04 eta: 2:00:10 time: 0.8270 data_time: 0.0392 memory: 13619 grad_norm: 4.7937 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8963 loss: 0.8963 2022/08/01 18:35:33 - mmengine - INFO - Epoch(train) [91][120/940] lr: 1.0000e-04 eta: 1:59:54 time: 0.6412 data_time: 0.0919 memory: 13619 grad_norm: 4.6586 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7552 loss: 0.7552 2022/08/01 18:35:51 - mmengine - INFO - Epoch(train) [91][140/940] lr: 1.0000e-04 eta: 1:59:39 time: 0.8671 data_time: 0.2099 memory: 13619 grad_norm: 4.6302 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9059 loss: 0.9059 2022/08/01 18:36:04 - mmengine - INFO - Epoch(train) [91][160/940] lr: 1.0000e-04 eta: 1:59:23 time: 0.6570 data_time: 0.1887 memory: 13619 grad_norm: 4.6755 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8515 loss: 0.8515 2022/08/01 18:36:21 - mmengine - INFO - Epoch(train) [91][180/940] lr: 1.0000e-04 eta: 1:59:08 time: 0.8448 data_time: 0.2568 memory: 13619 grad_norm: 4.7013 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8219 loss: 0.8219 2022/08/01 18:36:36 - mmengine - INFO - Epoch(train) [91][200/940] lr: 1.0000e-04 eta: 1:58:52 time: 0.7472 data_time: 0.0663 memory: 13619 grad_norm: 4.6325 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8257 loss: 0.8257 2022/08/01 18:36:51 - mmengine - INFO - Epoch(train) [91][220/940] lr: 1.0000e-04 eta: 1:58:37 time: 0.7808 data_time: 0.1148 memory: 13619 grad_norm: 4.6878 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8307 loss: 0.8307 2022/08/01 18:37:05 - mmengine - INFO - Epoch(train) [91][240/940] lr: 1.0000e-04 eta: 1:58:21 time: 0.6897 data_time: 0.1298 memory: 13619 grad_norm: 4.7172 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8184 loss: 0.8184 2022/08/01 18:37:22 - mmengine - INFO - Epoch(train) [91][260/940] lr: 1.0000e-04 eta: 1:58:06 time: 0.8370 data_time: 0.1034 memory: 13619 grad_norm: 4.6861 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8615 loss: 0.8615 2022/08/01 18:37:35 - mmengine - INFO - Epoch(train) [91][280/940] lr: 1.0000e-04 eta: 1:57:50 time: 0.6758 data_time: 0.0325 memory: 13619 grad_norm: 4.4982 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8133 loss: 0.8133 2022/08/01 18:37:53 - mmengine - INFO - Epoch(train) [91][300/940] lr: 1.0000e-04 eta: 1:57:35 time: 0.8686 data_time: 0.1159 memory: 13619 grad_norm: 4.7319 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8340 loss: 0.8340 2022/08/01 18:38:06 - mmengine - INFO - Epoch(train) [91][320/940] lr: 1.0000e-04 eta: 1:57:19 time: 0.6743 data_time: 0.1131 memory: 13619 grad_norm: 4.5238 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8089 loss: 0.8089 2022/08/01 18:38:23 - mmengine - INFO - Epoch(train) [91][340/940] lr: 1.0000e-04 eta: 1:57:04 time: 0.8411 data_time: 0.1905 memory: 13619 grad_norm: 4.6509 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8194 loss: 0.8194 2022/08/01 18:38:37 - mmengine - INFO - Epoch(train) [91][360/940] lr: 1.0000e-04 eta: 1:56:48 time: 0.6830 data_time: 0.1770 memory: 13619 grad_norm: 4.7188 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8667 loss: 0.8667 2022/08/01 18:38:53 - mmengine - INFO - Epoch(train) [91][380/940] lr: 1.0000e-04 eta: 1:56:33 time: 0.8297 data_time: 0.1606 memory: 13619 grad_norm: 4.7320 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8493 loss: 0.8493 2022/08/01 18:39:07 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 18:39:07 - mmengine - INFO - Epoch(train) [91][400/940] lr: 1.0000e-04 eta: 1:56:17 time: 0.6859 data_time: 0.1568 memory: 13619 grad_norm: 4.5639 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8865 loss: 0.8865 2022/08/01 18:39:26 - mmengine - INFO - Epoch(train) [91][420/940] lr: 1.0000e-04 eta: 1:56:02 time: 0.9336 data_time: 0.2366 memory: 13619 grad_norm: 4.6830 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8593 loss: 0.8593 2022/08/01 18:39:38 - mmengine - INFO - Epoch(train) [91][440/940] lr: 1.0000e-04 eta: 1:55:46 time: 0.6266 data_time: 0.1056 memory: 13619 grad_norm: 4.6077 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8442 loss: 0.8442 2022/08/01 18:39:56 - mmengine - INFO - Epoch(train) [91][460/940] lr: 1.0000e-04 eta: 1:55:31 time: 0.9031 data_time: 0.3321 memory: 13619 grad_norm: 4.6582 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8629 loss: 0.8629 2022/08/01 18:40:09 - mmengine - INFO - Epoch(train) [91][480/940] lr: 1.0000e-04 eta: 1:55:15 time: 0.6596 data_time: 0.1492 memory: 13619 grad_norm: 4.7022 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9371 loss: 0.9371 2022/08/01 18:40:27 - mmengine - INFO - Epoch(train) [91][500/940] lr: 1.0000e-04 eta: 1:55:00 time: 0.8518 data_time: 0.2265 memory: 13619 grad_norm: 4.6746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7637 loss: 0.7637 2022/08/01 18:40:40 - mmengine - INFO - Epoch(train) [91][520/940] lr: 1.0000e-04 eta: 1:54:44 time: 0.6715 data_time: 0.0896 memory: 13619 grad_norm: 4.6449 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8324 loss: 0.8324 2022/08/01 18:40:57 - mmengine - INFO - Epoch(train) [91][540/940] lr: 1.0000e-04 eta: 1:54:28 time: 0.8286 data_time: 0.0644 memory: 13619 grad_norm: 4.7179 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8128 loss: 0.8128 2022/08/01 18:41:10 - mmengine - INFO - Epoch(train) [91][560/940] lr: 1.0000e-04 eta: 1:54:13 time: 0.6942 data_time: 0.0340 memory: 13619 grad_norm: 4.6081 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8485 loss: 0.8485 2022/08/01 18:41:27 - mmengine - INFO - Epoch(train) [91][580/940] lr: 1.0000e-04 eta: 1:53:57 time: 0.8328 data_time: 0.1296 memory: 13619 grad_norm: 4.6718 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8266 loss: 0.8266 2022/08/01 18:41:41 - mmengine - INFO - Epoch(train) [91][600/940] lr: 1.0000e-04 eta: 1:53:42 time: 0.7181 data_time: 0.0739 memory: 13619 grad_norm: 4.6818 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8513 loss: 0.8513 2022/08/01 18:41:58 - mmengine - INFO - Epoch(train) [91][620/940] lr: 1.0000e-04 eta: 1:53:26 time: 0.8506 data_time: 0.0454 memory: 13619 grad_norm: 4.6295 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9613 loss: 0.9613 2022/08/01 18:42:12 - mmengine - INFO - Epoch(train) [91][640/940] lr: 1.0000e-04 eta: 1:53:11 time: 0.6791 data_time: 0.0370 memory: 13619 grad_norm: 4.5742 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8254 loss: 0.8254 2022/08/01 18:42:28 - mmengine - INFO - Epoch(train) [91][660/940] lr: 1.0000e-04 eta: 1:52:55 time: 0.8145 data_time: 0.0372 memory: 13619 grad_norm: 4.5630 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8866 loss: 0.8866 2022/08/01 18:42:42 - mmengine - INFO - Epoch(train) [91][680/940] lr: 1.0000e-04 eta: 1:52:40 time: 0.6880 data_time: 0.0368 memory: 13619 grad_norm: 4.7065 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7641 loss: 0.7641 2022/08/01 18:42:59 - mmengine - INFO - Epoch(train) [91][700/940] lr: 1.0000e-04 eta: 1:52:24 time: 0.8264 data_time: 0.0449 memory: 13619 grad_norm: 4.6717 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8122 loss: 0.8122 2022/08/01 18:43:12 - mmengine - INFO - Epoch(train) [91][720/940] lr: 1.0000e-04 eta: 1:52:08 time: 0.6522 data_time: 0.0837 memory: 13619 grad_norm: 4.7227 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8500 loss: 0.8500 2022/08/01 18:43:29 - mmengine - INFO - Epoch(train) [91][740/940] lr: 1.0000e-04 eta: 1:51:53 time: 0.8703 data_time: 0.2034 memory: 13619 grad_norm: 4.6805 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8474 loss: 0.8474 2022/08/01 18:43:43 - mmengine - INFO - Epoch(train) [91][760/940] lr: 1.0000e-04 eta: 1:51:37 time: 0.6797 data_time: 0.0421 memory: 13619 grad_norm: 4.7033 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8479 loss: 0.8479 2022/08/01 18:43:59 - mmengine - INFO - Epoch(train) [91][780/940] lr: 1.0000e-04 eta: 1:51:22 time: 0.8351 data_time: 0.0408 memory: 13619 grad_norm: 4.6121 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8433 loss: 0.8433 2022/08/01 18:44:13 - mmengine - INFO - Epoch(train) [91][800/940] lr: 1.0000e-04 eta: 1:51:06 time: 0.6911 data_time: 0.0465 memory: 13619 grad_norm: 4.7133 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9433 loss: 0.9433 2022/08/01 18:44:30 - mmengine - INFO - Epoch(train) [91][820/940] lr: 1.0000e-04 eta: 1:50:51 time: 0.8540 data_time: 0.0744 memory: 13619 grad_norm: 4.6034 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7480 loss: 0.7480 2022/08/01 18:44:44 - mmengine - INFO - Epoch(train) [91][840/940] lr: 1.0000e-04 eta: 1:50:35 time: 0.6603 data_time: 0.0901 memory: 13619 grad_norm: 4.5464 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6937 loss: 0.6937 2022/08/01 18:45:01 - mmengine - INFO - Epoch(train) [91][860/940] lr: 1.0000e-04 eta: 1:50:20 time: 0.8639 data_time: 0.1237 memory: 13619 grad_norm: 4.5331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/08/01 18:45:14 - mmengine - INFO - Epoch(train) [91][880/940] lr: 1.0000e-04 eta: 1:50:04 time: 0.6662 data_time: 0.1722 memory: 13619 grad_norm: 4.7345 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8959 loss: 0.8959 2022/08/01 18:45:32 - mmengine - INFO - Epoch(train) [91][900/940] lr: 1.0000e-04 eta: 1:49:49 time: 0.8725 data_time: 0.2889 memory: 13619 grad_norm: 4.7186 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 0.8844 loss: 0.8844 2022/08/01 18:45:45 - mmengine - INFO - Epoch(train) [91][920/940] lr: 1.0000e-04 eta: 1:49:33 time: 0.6901 data_time: 0.1618 memory: 13619 grad_norm: 4.7928 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9704 loss: 0.9704 2022/08/01 18:45:59 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 18:45:59 - mmengine - INFO - Epoch(train) [91][940/940] lr: 1.0000e-04 eta: 1:49:18 time: 0.6969 data_time: 0.1738 memory: 13619 grad_norm: 4.9627 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8869 loss: 0.8869 2022/08/01 18:46:17 - mmengine - INFO - Epoch(val) [91][20/78] eta: 0:00:49 time: 0.8569 data_time: 0.7611 memory: 2186 2022/08/01 18:46:29 - mmengine - INFO - Epoch(val) [91][40/78] eta: 0:00:23 time: 0.6144 data_time: 0.5206 memory: 2186 2022/08/01 18:46:45 - mmengine - INFO - Epoch(val) [91][60/78] eta: 0:00:14 time: 0.8111 data_time: 0.7114 memory: 2186 2022/08/01 18:46:58 - mmengine - INFO - Epoch(val) [91][78/78] acc/top1: 0.7073 acc/top5: 0.8945 acc/mean1: 0.7071 2022/08/01 18:47:18 - mmengine - INFO - Epoch(train) [92][20/940] lr: 1.0000e-04 eta: 1:49:02 time: 0.9820 data_time: 0.5154 memory: 13619 grad_norm: 4.6637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8264 loss: 0.8264 2022/08/01 18:47:31 - mmengine - INFO - Epoch(train) [92][40/940] lr: 1.0000e-04 eta: 1:48:47 time: 0.6420 data_time: 0.2171 memory: 13619 grad_norm: 4.6313 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9288 loss: 0.9288 2022/08/01 18:47:49 - mmengine - INFO - Epoch(train) [92][60/940] lr: 1.0000e-04 eta: 1:48:31 time: 0.8995 data_time: 0.2988 memory: 13619 grad_norm: 4.6800 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9345 loss: 0.9345 2022/08/01 18:48:01 - mmengine - INFO - Epoch(train) [92][80/940] lr: 1.0000e-04 eta: 1:48:16 time: 0.6273 data_time: 0.1403 memory: 13619 grad_norm: 4.6024 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8158 loss: 0.8158 2022/08/01 18:48:19 - mmengine - INFO - Epoch(train) [92][100/940] lr: 1.0000e-04 eta: 1:48:00 time: 0.8630 data_time: 0.4160 memory: 13619 grad_norm: 4.6684 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.8526 loss: 0.8526 2022/08/01 18:48:32 - mmengine - INFO - Epoch(train) [92][120/940] lr: 1.0000e-04 eta: 1:47:45 time: 0.6703 data_time: 0.2285 memory: 13619 grad_norm: 4.7190 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9267 loss: 0.9267 2022/08/01 18:48:49 - mmengine - INFO - Epoch(train) [92][140/940] lr: 1.0000e-04 eta: 1:47:29 time: 0.8485 data_time: 0.3589 memory: 13619 grad_norm: 4.7322 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9362 loss: 0.9362 2022/08/01 18:49:03 - mmengine - INFO - Epoch(train) [92][160/940] lr: 1.0000e-04 eta: 1:47:14 time: 0.7139 data_time: 0.0816 memory: 13619 grad_norm: 4.5837 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7913 loss: 0.7913 2022/08/01 18:49:21 - mmengine - INFO - Epoch(train) [92][180/940] lr: 1.0000e-04 eta: 1:46:58 time: 0.8630 data_time: 0.0635 memory: 13619 grad_norm: 4.6602 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8869 loss: 0.8869 2022/08/01 18:49:34 - mmengine - INFO - Epoch(train) [92][200/940] lr: 1.0000e-04 eta: 1:46:43 time: 0.6830 data_time: 0.0311 memory: 13619 grad_norm: 4.6826 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8534 loss: 0.8534 2022/08/01 18:49:51 - mmengine - INFO - Epoch(train) [92][220/940] lr: 1.0000e-04 eta: 1:46:27 time: 0.8304 data_time: 0.0387 memory: 13619 grad_norm: 4.6838 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/01 18:50:04 - mmengine - INFO - Epoch(train) [92][240/940] lr: 1.0000e-04 eta: 1:46:11 time: 0.6760 data_time: 0.0329 memory: 13619 grad_norm: 4.7312 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9363 loss: 0.9363 2022/08/01 18:50:22 - mmengine - INFO - Epoch(train) [92][260/940] lr: 1.0000e-04 eta: 1:45:56 time: 0.9014 data_time: 0.0427 memory: 13619 grad_norm: 4.7373 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8831 loss: 0.8831 2022/08/01 18:50:36 - mmengine - INFO - Epoch(train) [92][280/940] lr: 1.0000e-04 eta: 1:45:41 time: 0.6736 data_time: 0.0389 memory: 13619 grad_norm: 4.7890 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8971 loss: 0.8971 2022/08/01 18:50:51 - mmengine - INFO - Epoch(train) [92][300/940] lr: 1.0000e-04 eta: 1:45:25 time: 0.7730 data_time: 0.0394 memory: 13619 grad_norm: 4.5866 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8538 loss: 0.8538 2022/08/01 18:51:07 - mmengine - INFO - Epoch(train) [92][320/940] lr: 1.0000e-04 eta: 1:45:10 time: 0.7678 data_time: 0.0325 memory: 13619 grad_norm: 4.6464 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8163 loss: 0.8163 2022/08/01 18:51:22 - mmengine - INFO - Epoch(train) [92][340/940] lr: 1.0000e-04 eta: 1:44:54 time: 0.7859 data_time: 0.0395 memory: 13619 grad_norm: 4.6830 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8194 loss: 0.8194 2022/08/01 18:51:37 - mmengine - INFO - Epoch(train) [92][360/940] lr: 1.0000e-04 eta: 1:44:38 time: 0.7077 data_time: 0.0464 memory: 13619 grad_norm: 4.6497 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7923 loss: 0.7923 2022/08/01 18:51:54 - mmengine - INFO - Epoch(train) [92][380/940] lr: 1.0000e-04 eta: 1:44:23 time: 0.8450 data_time: 0.0381 memory: 13619 grad_norm: 4.6142 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9730 loss: 0.9730 2022/08/01 18:52:07 - mmengine - INFO - Epoch(train) [92][400/940] lr: 1.0000e-04 eta: 1:44:07 time: 0.6890 data_time: 0.0309 memory: 13619 grad_norm: 4.5181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8334 loss: 0.8334 2022/08/01 18:52:25 - mmengine - INFO - Epoch(train) [92][420/940] lr: 1.0000e-04 eta: 1:43:52 time: 0.8902 data_time: 0.0382 memory: 13619 grad_norm: 4.6751 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8683 loss: 0.8683 2022/08/01 18:52:39 - mmengine - INFO - Epoch(train) [92][440/940] lr: 1.0000e-04 eta: 1:43:36 time: 0.6923 data_time: 0.0375 memory: 13619 grad_norm: 4.7508 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8883 loss: 0.8883 2022/08/01 18:52:55 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 18:52:55 - mmengine - INFO - Epoch(train) [92][460/940] lr: 1.0000e-04 eta: 1:43:21 time: 0.7795 data_time: 0.0407 memory: 13619 grad_norm: 4.6519 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9486 loss: 0.9486 2022/08/01 18:53:08 - mmengine - INFO - Epoch(train) [92][480/940] lr: 1.0000e-04 eta: 1:43:05 time: 0.6877 data_time: 0.0374 memory: 13619 grad_norm: 4.7062 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8566 loss: 0.8566 2022/08/01 18:53:24 - mmengine - INFO - Epoch(train) [92][500/940] lr: 1.0000e-04 eta: 1:42:50 time: 0.7826 data_time: 0.0406 memory: 13619 grad_norm: 4.6487 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8741 loss: 0.8741 2022/08/01 18:53:38 - mmengine - INFO - Epoch(train) [92][520/940] lr: 1.0000e-04 eta: 1:42:34 time: 0.7061 data_time: 0.1197 memory: 13619 grad_norm: 4.7649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8024 loss: 0.8024 2022/08/01 18:53:55 - mmengine - INFO - Epoch(train) [92][540/940] lr: 1.0000e-04 eta: 1:42:19 time: 0.8231 data_time: 0.0362 memory: 13619 grad_norm: 4.8483 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8723 loss: 0.8723 2022/08/01 18:54:09 - mmengine - INFO - Epoch(train) [92][560/940] lr: 1.0000e-04 eta: 1:42:03 time: 0.7208 data_time: 0.0357 memory: 13619 grad_norm: 4.7949 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7824 loss: 0.7824 2022/08/01 18:54:26 - mmengine - INFO - Epoch(train) [92][580/940] lr: 1.0000e-04 eta: 1:41:48 time: 0.8681 data_time: 0.0400 memory: 13619 grad_norm: 4.6524 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8207 loss: 0.8207 2022/08/01 18:54:40 - mmengine - INFO - Epoch(train) [92][600/940] lr: 1.0000e-04 eta: 1:41:32 time: 0.6932 data_time: 0.0374 memory: 13619 grad_norm: 4.6935 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9313 loss: 0.9313 2022/08/01 18:54:57 - mmengine - INFO - Epoch(train) [92][620/940] lr: 1.0000e-04 eta: 1:41:17 time: 0.8133 data_time: 0.0358 memory: 13619 grad_norm: 4.7385 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8384 loss: 0.8384 2022/08/01 18:55:11 - mmengine - INFO - Epoch(train) [92][640/940] lr: 1.0000e-04 eta: 1:41:01 time: 0.7314 data_time: 0.0379 memory: 13619 grad_norm: 4.6903 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.9960 loss: 0.9960 2022/08/01 18:55:28 - mmengine - INFO - Epoch(train) [92][660/940] lr: 1.0000e-04 eta: 1:40:46 time: 0.8214 data_time: 0.0614 memory: 13619 grad_norm: 4.7238 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8252 loss: 0.8252 2022/08/01 18:55:42 - mmengine - INFO - Epoch(train) [92][680/940] lr: 1.0000e-04 eta: 1:40:30 time: 0.7379 data_time: 0.0398 memory: 13619 grad_norm: 4.7305 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7996 loss: 0.7996 2022/08/01 18:55:59 - mmengine - INFO - Epoch(train) [92][700/940] lr: 1.0000e-04 eta: 1:40:15 time: 0.8157 data_time: 0.0381 memory: 13619 grad_norm: 4.5998 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8130 loss: 0.8130 2022/08/01 18:56:12 - mmengine - INFO - Epoch(train) [92][720/940] lr: 1.0000e-04 eta: 1:39:59 time: 0.6793 data_time: 0.0350 memory: 13619 grad_norm: 4.6566 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9140 loss: 0.9140 2022/08/01 18:56:31 - mmengine - INFO - Epoch(train) [92][740/940] lr: 1.0000e-04 eta: 1:39:44 time: 0.9028 data_time: 0.0358 memory: 13619 grad_norm: 4.6494 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8300 loss: 0.8300 2022/08/01 18:56:43 - mmengine - INFO - Epoch(train) [92][760/940] lr: 1.0000e-04 eta: 1:39:28 time: 0.6543 data_time: 0.0390 memory: 13619 grad_norm: 4.6418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7636 loss: 0.7636 2022/08/01 18:57:00 - mmengine - INFO - Epoch(train) [92][780/940] lr: 1.0000e-04 eta: 1:39:13 time: 0.8085 data_time: 0.0414 memory: 13619 grad_norm: 4.6012 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8145 loss: 0.8145 2022/08/01 18:57:14 - mmengine - INFO - Epoch(train) [92][800/940] lr: 1.0000e-04 eta: 1:38:57 time: 0.6937 data_time: 0.0367 memory: 13619 grad_norm: 4.6679 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8644 loss: 0.8644 2022/08/01 18:57:30 - mmengine - INFO - Epoch(train) [92][820/940] lr: 1.0000e-04 eta: 1:38:41 time: 0.7980 data_time: 0.0543 memory: 13619 grad_norm: 4.6279 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.8795 loss: 0.8795 2022/08/01 18:57:43 - mmengine - INFO - Epoch(train) [92][840/940] lr: 1.0000e-04 eta: 1:38:26 time: 0.6771 data_time: 0.0816 memory: 13619 grad_norm: 4.6142 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7949 loss: 0.7949 2022/08/01 18:58:01 - mmengine - INFO - Epoch(train) [92][860/940] lr: 1.0000e-04 eta: 1:38:10 time: 0.8719 data_time: 0.0668 memory: 13619 grad_norm: 4.6648 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8254 loss: 0.8254 2022/08/01 18:58:15 - mmengine - INFO - Epoch(train) [92][880/940] lr: 1.0000e-04 eta: 1:37:55 time: 0.7139 data_time: 0.1045 memory: 13619 grad_norm: 4.8406 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9958 loss: 0.9958 2022/08/01 18:58:31 - mmengine - INFO - Epoch(train) [92][900/940] lr: 1.0000e-04 eta: 1:37:39 time: 0.8240 data_time: 0.0395 memory: 13619 grad_norm: 4.5981 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8809 loss: 0.8809 2022/08/01 18:58:46 - mmengine - INFO - Epoch(train) [92][920/940] lr: 1.0000e-04 eta: 1:37:24 time: 0.7305 data_time: 0.0959 memory: 13619 grad_norm: 4.6738 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.8486 loss: 0.8486 2022/08/01 18:58:58 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 18:58:58 - mmengine - INFO - Epoch(train) [92][940/940] lr: 1.0000e-04 eta: 1:37:08 time: 0.6185 data_time: 0.0260 memory: 13619 grad_norm: 5.1541 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/08/01 18:59:16 - mmengine - INFO - Epoch(val) [92][20/78] eta: 0:00:50 time: 0.8757 data_time: 0.7771 memory: 2186 2022/08/01 18:59:28 - mmengine - INFO - Epoch(val) [92][40/78] eta: 0:00:22 time: 0.5811 data_time: 0.4831 memory: 2186 2022/08/01 18:59:44 - mmengine - INFO - Epoch(val) [92][60/78] eta: 0:00:14 time: 0.8220 data_time: 0.7281 memory: 2186 2022/08/01 18:59:58 - mmengine - INFO - Epoch(val) [92][78/78] acc/top1: 0.7082 acc/top5: 0.8941 acc/mean1: 0.7081 2022/08/01 19:00:18 - mmengine - INFO - Epoch(train) [93][20/940] lr: 1.0000e-04 eta: 1:36:53 time: 0.9673 data_time: 0.4956 memory: 13619 grad_norm: 4.5132 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7909 loss: 0.7909 2022/08/01 19:00:32 - mmengine - INFO - Epoch(train) [93][40/940] lr: 1.0000e-04 eta: 1:36:37 time: 0.7140 data_time: 0.1071 memory: 13619 grad_norm: 4.7705 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8946 loss: 0.8946 2022/08/01 19:00:49 - mmengine - INFO - Epoch(train) [93][60/940] lr: 1.0000e-04 eta: 1:36:22 time: 0.8350 data_time: 0.1157 memory: 13619 grad_norm: 4.7558 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8852 loss: 0.8852 2022/08/01 19:01:02 - mmengine - INFO - Epoch(train) [93][80/940] lr: 1.0000e-04 eta: 1:36:06 time: 0.6600 data_time: 0.1913 memory: 13619 grad_norm: 4.6198 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7668 loss: 0.7668 2022/08/01 19:01:19 - mmengine - INFO - Epoch(train) [93][100/940] lr: 1.0000e-04 eta: 1:35:51 time: 0.8466 data_time: 0.4420 memory: 13619 grad_norm: 4.6186 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8392 loss: 0.8392 2022/08/01 19:01:33 - mmengine - INFO - Epoch(train) [93][120/940] lr: 1.0000e-04 eta: 1:35:35 time: 0.7096 data_time: 0.3288 memory: 13619 grad_norm: 4.5855 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7759 loss: 0.7759 2022/08/01 19:01:50 - mmengine - INFO - Epoch(train) [93][140/940] lr: 1.0000e-04 eta: 1:35:20 time: 0.8600 data_time: 0.3670 memory: 13619 grad_norm: 4.7108 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7358 loss: 0.7358 2022/08/01 19:02:03 - mmengine - INFO - Epoch(train) [93][160/940] lr: 1.0000e-04 eta: 1:35:04 time: 0.6410 data_time: 0.1324 memory: 13619 grad_norm: 4.6129 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9229 loss: 0.9229 2022/08/01 19:02:20 - mmengine - INFO - Epoch(train) [93][180/940] lr: 1.0000e-04 eta: 1:34:49 time: 0.8414 data_time: 0.1765 memory: 13619 grad_norm: 4.6328 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8421 loss: 0.8421 2022/08/01 19:02:34 - mmengine - INFO - Epoch(train) [93][200/940] lr: 1.0000e-04 eta: 1:34:33 time: 0.7146 data_time: 0.0295 memory: 13619 grad_norm: 4.6927 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8693 loss: 0.8693 2022/08/01 19:02:53 - mmengine - INFO - Epoch(train) [93][220/940] lr: 1.0000e-04 eta: 1:34:18 time: 0.9209 data_time: 0.0403 memory: 13619 grad_norm: 4.6670 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8048 loss: 0.8048 2022/08/01 19:03:06 - mmengine - INFO - Epoch(train) [93][240/940] lr: 1.0000e-04 eta: 1:34:02 time: 0.6729 data_time: 0.0315 memory: 13619 grad_norm: 4.7294 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9435 loss: 0.9435 2022/08/01 19:03:23 - mmengine - INFO - Epoch(train) [93][260/940] lr: 1.0000e-04 eta: 1:33:47 time: 0.8442 data_time: 0.0565 memory: 13619 grad_norm: 4.6048 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7838 loss: 0.7838 2022/08/01 19:03:36 - mmengine - INFO - Epoch(train) [93][280/940] lr: 1.0000e-04 eta: 1:33:31 time: 0.6350 data_time: 0.0306 memory: 13619 grad_norm: 4.7385 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8706 loss: 0.8706 2022/08/01 19:03:53 - mmengine - INFO - Epoch(train) [93][300/940] lr: 1.0000e-04 eta: 1:33:16 time: 0.8409 data_time: 0.0733 memory: 13619 grad_norm: 4.7373 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8761 loss: 0.8761 2022/08/01 19:04:07 - mmengine - INFO - Epoch(train) [93][320/940] lr: 1.0000e-04 eta: 1:33:00 time: 0.7126 data_time: 0.0320 memory: 13619 grad_norm: 4.6349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8080 loss: 0.8080 2022/08/01 19:04:24 - mmengine - INFO - Epoch(train) [93][340/940] lr: 1.0000e-04 eta: 1:32:45 time: 0.8628 data_time: 0.0444 memory: 13619 grad_norm: 4.7590 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8729 loss: 0.8729 2022/08/01 19:04:38 - mmengine - INFO - Epoch(train) [93][360/940] lr: 1.0000e-04 eta: 1:32:29 time: 0.7027 data_time: 0.0518 memory: 13619 grad_norm: 4.6965 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9057 loss: 0.9057 2022/08/01 19:04:56 - mmengine - INFO - Epoch(train) [93][380/940] lr: 1.0000e-04 eta: 1:32:14 time: 0.8983 data_time: 0.1995 memory: 13619 grad_norm: 4.5464 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.8753 loss: 0.8753 2022/08/01 19:05:10 - mmengine - INFO - Epoch(train) [93][400/940] lr: 1.0000e-04 eta: 1:31:58 time: 0.7058 data_time: 0.2736 memory: 13619 grad_norm: 4.5997 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8023 loss: 0.8023 2022/08/01 19:05:27 - mmengine - INFO - Epoch(train) [93][420/940] lr: 1.0000e-04 eta: 1:31:43 time: 0.8141 data_time: 0.4743 memory: 13619 grad_norm: 4.6876 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9107 loss: 0.9107 2022/08/01 19:05:42 - mmengine - INFO - Epoch(train) [93][440/940] lr: 1.0000e-04 eta: 1:31:27 time: 0.7560 data_time: 0.4274 memory: 13619 grad_norm: 4.7324 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.8689 loss: 0.8689 2022/08/01 19:05:59 - mmengine - INFO - Epoch(train) [93][460/940] lr: 1.0000e-04 eta: 1:31:12 time: 0.8704 data_time: 0.5401 memory: 13619 grad_norm: 4.6525 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8012 loss: 0.8012 2022/08/01 19:06:11 - mmengine - INFO - Epoch(train) [93][480/940] lr: 1.0000e-04 eta: 1:30:56 time: 0.6054 data_time: 0.3001 memory: 13619 grad_norm: 4.8406 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9536 loss: 0.9536 2022/08/01 19:06:28 - mmengine - INFO - Epoch(train) [93][500/940] lr: 1.0000e-04 eta: 1:30:41 time: 0.8414 data_time: 0.5006 memory: 13619 grad_norm: 4.6358 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8296 loss: 0.8296 2022/08/01 19:06:43 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 19:06:43 - mmengine - INFO - Epoch(train) [93][520/940] lr: 1.0000e-04 eta: 1:30:25 time: 0.7315 data_time: 0.3751 memory: 13619 grad_norm: 4.4756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8293 loss: 0.8293 2022/08/01 19:07:00 - mmengine - INFO - Epoch(train) [93][540/940] lr: 1.0000e-04 eta: 1:30:10 time: 0.8623 data_time: 0.5159 memory: 13619 grad_norm: 4.6777 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.8567 loss: 0.8567 2022/08/01 19:07:13 - mmengine - INFO - Epoch(train) [93][560/940] lr: 1.0000e-04 eta: 1:29:54 time: 0.6574 data_time: 0.2954 memory: 13619 grad_norm: 4.7216 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8656 loss: 0.8656 2022/08/01 19:07:29 - mmengine - INFO - Epoch(train) [93][580/940] lr: 1.0000e-04 eta: 1:29:39 time: 0.7873 data_time: 0.4284 memory: 13619 grad_norm: 4.6512 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7911 loss: 0.7911 2022/08/01 19:07:43 - mmengine - INFO - Epoch(train) [93][600/940] lr: 1.0000e-04 eta: 1:29:23 time: 0.7002 data_time: 0.3047 memory: 13619 grad_norm: 4.7275 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8034 loss: 0.8034 2022/08/01 19:08:00 - mmengine - INFO - Epoch(train) [93][620/940] lr: 1.0000e-04 eta: 1:29:08 time: 0.8570 data_time: 0.5156 memory: 13619 grad_norm: 4.6886 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/08/01 19:08:14 - mmengine - INFO - Epoch(train) [93][640/940] lr: 1.0000e-04 eta: 1:28:52 time: 0.7085 data_time: 0.3594 memory: 13619 grad_norm: 4.6515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8830 loss: 0.8830 2022/08/01 19:08:31 - mmengine - INFO - Epoch(train) [93][660/940] lr: 1.0000e-04 eta: 1:28:37 time: 0.8664 data_time: 0.5003 memory: 13619 grad_norm: 4.5633 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7790 loss: 0.7790 2022/08/01 19:08:44 - mmengine - INFO - Epoch(train) [93][680/940] lr: 1.0000e-04 eta: 1:28:21 time: 0.6465 data_time: 0.3247 memory: 13619 grad_norm: 4.5254 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8383 loss: 0.8383 2022/08/01 19:09:02 - mmengine - INFO - Epoch(train) [93][700/940] lr: 1.0000e-04 eta: 1:28:06 time: 0.8455 data_time: 0.5210 memory: 13619 grad_norm: 4.5940 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7971 loss: 0.7971 2022/08/01 19:09:14 - mmengine - INFO - Epoch(train) [93][720/940] lr: 1.0000e-04 eta: 1:27:50 time: 0.6431 data_time: 0.3005 memory: 13619 grad_norm: 4.5529 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8590 loss: 0.8590 2022/08/01 19:09:31 - mmengine - INFO - Epoch(train) [93][740/940] lr: 1.0000e-04 eta: 1:27:34 time: 0.8442 data_time: 0.4986 memory: 13619 grad_norm: 4.7683 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.8534 loss: 0.8534 2022/08/01 19:09:46 - mmengine - INFO - Epoch(train) [93][760/940] lr: 1.0000e-04 eta: 1:27:19 time: 0.7368 data_time: 0.3655 memory: 13619 grad_norm: 4.6807 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8538 loss: 0.8538 2022/08/01 19:10:02 - mmengine - INFO - Epoch(train) [93][780/940] lr: 1.0000e-04 eta: 1:27:03 time: 0.7882 data_time: 0.3905 memory: 13619 grad_norm: 4.7334 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7486 loss: 0.7486 2022/08/01 19:10:18 - mmengine - INFO - Epoch(train) [93][800/940] lr: 1.0000e-04 eta: 1:26:48 time: 0.7932 data_time: 0.4061 memory: 13619 grad_norm: 4.6915 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8625 loss: 0.8625 2022/08/01 19:10:33 - mmengine - INFO - Epoch(train) [93][820/940] lr: 1.0000e-04 eta: 1:26:32 time: 0.7513 data_time: 0.4335 memory: 13619 grad_norm: 4.7304 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7976 loss: 0.7976 2022/08/01 19:10:48 - mmengine - INFO - Epoch(train) [93][840/940] lr: 1.0000e-04 eta: 1:26:17 time: 0.7965 data_time: 0.4668 memory: 13619 grad_norm: 4.7178 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9008 loss: 0.9008 2022/08/01 19:11:03 - mmengine - INFO - Epoch(train) [93][860/940] lr: 1.0000e-04 eta: 1:26:01 time: 0.7265 data_time: 0.4154 memory: 13619 grad_norm: 4.6767 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8230 loss: 0.8230 2022/08/01 19:11:18 - mmengine - INFO - Epoch(train) [93][880/940] lr: 1.0000e-04 eta: 1:25:46 time: 0.7555 data_time: 0.4495 memory: 13619 grad_norm: 4.5947 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8457 loss: 0.8457 2022/08/01 19:11:34 - mmengine - INFO - Epoch(train) [93][900/940] lr: 1.0000e-04 eta: 1:25:30 time: 0.7733 data_time: 0.4773 memory: 13619 grad_norm: 4.7160 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9004 loss: 0.9004 2022/08/01 19:11:50 - mmengine - INFO - Epoch(train) [93][920/940] lr: 1.0000e-04 eta: 1:25:15 time: 0.7982 data_time: 0.4018 memory: 13619 grad_norm: 4.6944 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8495 loss: 0.8495 2022/08/01 19:12:01 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 19:12:01 - mmengine - INFO - Epoch(train) [93][940/940] lr: 1.0000e-04 eta: 1:24:59 time: 0.5567 data_time: 0.2680 memory: 13619 grad_norm: 5.1010 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8628 loss: 0.8628 2022/08/01 19:12:01 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/08/01 19:12:21 - mmengine - INFO - Epoch(val) [93][20/78] eta: 0:00:51 time: 0.8851 data_time: 0.7943 memory: 2186 2022/08/01 19:12:33 - mmengine - INFO - Epoch(val) [93][40/78] eta: 0:00:22 time: 0.5894 data_time: 0.4974 memory: 2186 2022/08/01 19:12:49 - mmengine - INFO - Epoch(val) [93][60/78] eta: 0:00:14 time: 0.8174 data_time: 0.7244 memory: 2186 2022/08/01 19:13:02 - mmengine - INFO - Epoch(val) [93][78/78] acc/top1: 0.7079 acc/top5: 0.8938 acc/mean1: 0.7077 2022/08/01 19:13:21 - mmengine - INFO - Epoch(train) [94][20/940] lr: 1.0000e-04 eta: 1:24:44 time: 0.9786 data_time: 0.5924 memory: 13619 grad_norm: 4.7671 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8916 loss: 0.8916 2022/08/01 19:13:35 - mmengine - INFO - Epoch(train) [94][40/940] lr: 1.0000e-04 eta: 1:24:28 time: 0.6625 data_time: 0.2380 memory: 13619 grad_norm: 4.6216 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8253 loss: 0.8253 2022/08/01 19:13:52 - mmengine - INFO - Epoch(train) [94][60/940] lr: 1.0000e-04 eta: 1:24:13 time: 0.8517 data_time: 0.2599 memory: 13619 grad_norm: 4.6544 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7478 loss: 0.7478 2022/08/01 19:14:06 - mmengine - INFO - Epoch(train) [94][80/940] lr: 1.0000e-04 eta: 1:23:57 time: 0.6933 data_time: 0.0840 memory: 13619 grad_norm: 4.6163 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8529 loss: 0.8529 2022/08/01 19:14:22 - mmengine - INFO - Epoch(train) [94][100/940] lr: 1.0000e-04 eta: 1:23:42 time: 0.8142 data_time: 0.0434 memory: 13619 grad_norm: 4.7094 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8713 loss: 0.8713 2022/08/01 19:14:37 - mmengine - INFO - Epoch(train) [94][120/940] lr: 1.0000e-04 eta: 1:23:26 time: 0.7494 data_time: 0.0338 memory: 13619 grad_norm: 4.6321 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.8318 loss: 0.8318 2022/08/01 19:14:53 - mmengine - INFO - Epoch(train) [94][140/940] lr: 1.0000e-04 eta: 1:23:11 time: 0.8272 data_time: 0.0483 memory: 13619 grad_norm: 4.5856 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8228 loss: 0.8228 2022/08/01 19:15:07 - mmengine - INFO - Epoch(train) [94][160/940] lr: 1.0000e-04 eta: 1:22:55 time: 0.6774 data_time: 0.0366 memory: 13619 grad_norm: 4.7561 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/01 19:15:23 - mmengine - INFO - Epoch(train) [94][180/940] lr: 1.0000e-04 eta: 1:22:40 time: 0.8199 data_time: 0.0421 memory: 13619 grad_norm: 4.4955 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8329 loss: 0.8329 2022/08/01 19:15:37 - mmengine - INFO - Epoch(train) [94][200/940] lr: 1.0000e-04 eta: 1:22:24 time: 0.6590 data_time: 0.0323 memory: 13619 grad_norm: 4.6450 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8374 loss: 0.8374 2022/08/01 19:15:55 - mmengine - INFO - Epoch(train) [94][220/940] lr: 1.0000e-04 eta: 1:22:09 time: 0.9040 data_time: 0.0410 memory: 13619 grad_norm: 4.6530 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8730 loss: 0.8730 2022/08/01 19:16:08 - mmengine - INFO - Epoch(train) [94][240/940] lr: 1.0000e-04 eta: 1:21:53 time: 0.6775 data_time: 0.0377 memory: 13619 grad_norm: 4.5309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8038 loss: 0.8038 2022/08/01 19:16:24 - mmengine - INFO - Epoch(train) [94][260/940] lr: 1.0000e-04 eta: 1:21:38 time: 0.7771 data_time: 0.0377 memory: 13619 grad_norm: 4.5671 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8799 loss: 0.8799 2022/08/01 19:16:38 - mmengine - INFO - Epoch(train) [94][280/940] lr: 1.0000e-04 eta: 1:21:22 time: 0.6925 data_time: 0.0403 memory: 13619 grad_norm: 4.7104 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7228 loss: 0.7228 2022/08/01 19:16:54 - mmengine - INFO - Epoch(train) [94][300/940] lr: 1.0000e-04 eta: 1:21:07 time: 0.8308 data_time: 0.0406 memory: 13619 grad_norm: 4.7114 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.8623 loss: 0.8623 2022/08/01 19:17:09 - mmengine - INFO - Epoch(train) [94][320/940] lr: 1.0000e-04 eta: 1:20:51 time: 0.7248 data_time: 0.1038 memory: 13619 grad_norm: 4.7024 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8633 loss: 0.8633 2022/08/01 19:17:25 - mmengine - INFO - Epoch(train) [94][340/940] lr: 1.0000e-04 eta: 1:20:35 time: 0.7952 data_time: 0.1564 memory: 13619 grad_norm: 4.8487 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8483 loss: 0.8483 2022/08/01 19:17:40 - mmengine - INFO - Epoch(train) [94][360/940] lr: 1.0000e-04 eta: 1:20:20 time: 0.7783 data_time: 0.2367 memory: 13619 grad_norm: 4.6905 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8827 loss: 0.8827 2022/08/01 19:17:55 - mmengine - INFO - Epoch(train) [94][380/940] lr: 1.0000e-04 eta: 1:20:04 time: 0.7398 data_time: 0.1124 memory: 13619 grad_norm: 4.6374 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 0.8612 loss: 0.8612 2022/08/01 19:18:12 - mmengine - INFO - Epoch(train) [94][400/940] lr: 1.0000e-04 eta: 1:19:49 time: 0.8263 data_time: 0.2933 memory: 13619 grad_norm: 4.7112 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9145 loss: 0.9145 2022/08/01 19:18:27 - mmengine - INFO - Epoch(train) [94][420/940] lr: 1.0000e-04 eta: 1:19:33 time: 0.7577 data_time: 0.1942 memory: 13619 grad_norm: 4.6654 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8151 loss: 0.8151 2022/08/01 19:18:42 - mmengine - INFO - Epoch(train) [94][440/940] lr: 1.0000e-04 eta: 1:19:18 time: 0.7763 data_time: 0.2420 memory: 13619 grad_norm: 4.7177 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8199 loss: 0.8199 2022/08/01 19:18:56 - mmengine - INFO - Epoch(train) [94][460/940] lr: 1.0000e-04 eta: 1:19:02 time: 0.7066 data_time: 0.2188 memory: 13619 grad_norm: 4.6384 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8585 loss: 0.8585 2022/08/01 19:19:13 - mmengine - INFO - Epoch(train) [94][480/940] lr: 1.0000e-04 eta: 1:18:47 time: 0.8331 data_time: 0.4555 memory: 13619 grad_norm: 4.7906 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8346 loss: 0.8346 2022/08/01 19:19:27 - mmengine - INFO - Epoch(train) [94][500/940] lr: 1.0000e-04 eta: 1:18:31 time: 0.6936 data_time: 0.2712 memory: 13619 grad_norm: 4.5384 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8600 loss: 0.8600 2022/08/01 19:19:43 - mmengine - INFO - Epoch(train) [94][520/940] lr: 1.0000e-04 eta: 1:18:16 time: 0.8036 data_time: 0.4318 memory: 13619 grad_norm: 4.8552 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8889 loss: 0.8889 2022/08/01 19:19:58 - mmengine - INFO - Epoch(train) [94][540/940] lr: 1.0000e-04 eta: 1:18:00 time: 0.7494 data_time: 0.3783 memory: 13619 grad_norm: 4.6708 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9200 loss: 0.9200 2022/08/01 19:20:13 - mmengine - INFO - Epoch(train) [94][560/940] lr: 1.0000e-04 eta: 1:17:45 time: 0.7541 data_time: 0.2844 memory: 13619 grad_norm: 4.7843 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9949 loss: 0.9949 2022/08/01 19:20:29 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 19:20:29 - mmengine - INFO - Epoch(train) [94][580/940] lr: 1.0000e-04 eta: 1:17:29 time: 0.7774 data_time: 0.1898 memory: 13619 grad_norm: 4.7416 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9549 loss: 0.9549 2022/08/01 19:20:45 - mmengine - INFO - Epoch(train) [94][600/940] lr: 1.0000e-04 eta: 1:17:14 time: 0.8154 data_time: 0.4359 memory: 13619 grad_norm: 4.7454 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8340 loss: 0.8340 2022/08/01 19:20:59 - mmengine - INFO - Epoch(train) [94][620/940] lr: 1.0000e-04 eta: 1:16:58 time: 0.6983 data_time: 0.2372 memory: 13619 grad_norm: 4.7736 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8479 loss: 0.8479 2022/08/01 19:21:14 - mmengine - INFO - Epoch(train) [94][640/940] lr: 1.0000e-04 eta: 1:16:43 time: 0.7551 data_time: 0.3877 memory: 13619 grad_norm: 4.6294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7472 loss: 0.7472 2022/08/01 19:21:30 - mmengine - INFO - Epoch(train) [94][660/940] lr: 1.0000e-04 eta: 1:16:27 time: 0.7848 data_time: 0.2341 memory: 13619 grad_norm: 4.6596 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8411 loss: 0.8411 2022/08/01 19:21:45 - mmengine - INFO - Epoch(train) [94][680/940] lr: 1.0000e-04 eta: 1:16:12 time: 0.7379 data_time: 0.3129 memory: 13619 grad_norm: 4.7473 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7702 loss: 0.7702 2022/08/01 19:22:01 - mmengine - INFO - Epoch(train) [94][700/940] lr: 1.0000e-04 eta: 1:15:56 time: 0.8177 data_time: 0.3886 memory: 13619 grad_norm: 4.5983 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7817 loss: 0.7817 2022/08/01 19:22:14 - mmengine - INFO - Epoch(train) [94][720/940] lr: 1.0000e-04 eta: 1:15:41 time: 0.6699 data_time: 0.2310 memory: 13619 grad_norm: 4.5017 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7849 loss: 0.7849 2022/08/01 19:22:32 - mmengine - INFO - Epoch(train) [94][740/940] lr: 1.0000e-04 eta: 1:15:25 time: 0.8612 data_time: 0.3575 memory: 13619 grad_norm: 4.7378 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8339 loss: 0.8339 2022/08/01 19:22:45 - mmengine - INFO - Epoch(train) [94][760/940] lr: 1.0000e-04 eta: 1:15:10 time: 0.6866 data_time: 0.1502 memory: 13619 grad_norm: 4.6316 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9015 loss: 0.9015 2022/08/01 19:23:01 - mmengine - INFO - Epoch(train) [94][780/940] lr: 1.0000e-04 eta: 1:14:54 time: 0.7876 data_time: 0.1256 memory: 13619 grad_norm: 4.9044 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9238 loss: 0.9238 2022/08/01 19:23:16 - mmengine - INFO - Epoch(train) [94][800/940] lr: 1.0000e-04 eta: 1:14:39 time: 0.7423 data_time: 0.0950 memory: 13619 grad_norm: 4.6520 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9203 loss: 0.9203 2022/08/01 19:23:32 - mmengine - INFO - Epoch(train) [94][820/940] lr: 1.0000e-04 eta: 1:14:23 time: 0.7925 data_time: 0.0473 memory: 13619 grad_norm: 4.5161 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7425 loss: 0.7425 2022/08/01 19:23:49 - mmengine - INFO - Epoch(train) [94][840/940] lr: 1.0000e-04 eta: 1:14:08 time: 0.8822 data_time: 0.0333 memory: 13619 grad_norm: 4.6288 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.8349 loss: 0.8349 2022/08/01 19:24:02 - mmengine - INFO - Epoch(train) [94][860/940] lr: 1.0000e-04 eta: 1:13:52 time: 0.6468 data_time: 0.0365 memory: 13619 grad_norm: 4.6682 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9017 loss: 0.9017 2022/08/01 19:24:19 - mmengine - INFO - Epoch(train) [94][880/940] lr: 1.0000e-04 eta: 1:13:37 time: 0.8510 data_time: 0.0368 memory: 13619 grad_norm: 4.6429 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7990 loss: 0.7990 2022/08/01 19:24:34 - mmengine - INFO - Epoch(train) [94][900/940] lr: 1.0000e-04 eta: 1:13:21 time: 0.7106 data_time: 0.0375 memory: 13619 grad_norm: 4.6649 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8476 loss: 0.8476 2022/08/01 19:24:51 - mmengine - INFO - Epoch(train) [94][920/940] lr: 1.0000e-04 eta: 1:13:06 time: 0.8534 data_time: 0.0368 memory: 13619 grad_norm: 4.6979 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8471 loss: 0.8471 2022/08/01 19:25:02 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 19:25:02 - mmengine - INFO - Epoch(train) [94][940/940] lr: 1.0000e-04 eta: 1:12:50 time: 0.5610 data_time: 0.0293 memory: 13619 grad_norm: 4.9417 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8454 loss: 0.8454 2022/08/01 19:25:19 - mmengine - INFO - Epoch(val) [94][20/78] eta: 0:00:49 time: 0.8602 data_time: 0.7587 memory: 2186 2022/08/01 19:25:32 - mmengine - INFO - Epoch(val) [94][40/78] eta: 0:00:23 time: 0.6098 data_time: 0.5178 memory: 2186 2022/08/01 19:25:47 - mmengine - INFO - Epoch(val) [94][60/78] eta: 0:00:14 time: 0.7946 data_time: 0.7010 memory: 2186 2022/08/01 19:26:02 - mmengine - INFO - Epoch(val) [94][78/78] acc/top1: 0.7090 acc/top5: 0.8941 acc/mean1: 0.7088 2022/08/01 19:26:21 - mmengine - INFO - Epoch(train) [95][20/940] lr: 1.0000e-04 eta: 1:12:35 time: 0.9675 data_time: 0.6387 memory: 13619 grad_norm: 4.5508 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8212 loss: 0.8212 2022/08/01 19:26:34 - mmengine - INFO - Epoch(train) [95][40/940] lr: 1.0000e-04 eta: 1:12:19 time: 0.6600 data_time: 0.3610 memory: 13619 grad_norm: 4.7223 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8465 loss: 0.8465 2022/08/01 19:26:51 - mmengine - INFO - Epoch(train) [95][60/940] lr: 1.0000e-04 eta: 1:12:04 time: 0.8570 data_time: 0.3755 memory: 13619 grad_norm: 4.7617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9382 loss: 0.9382 2022/08/01 19:27:06 - mmengine - INFO - Epoch(train) [95][80/940] lr: 1.0000e-04 eta: 1:11:48 time: 0.7401 data_time: 0.1308 memory: 13619 grad_norm: 4.6411 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9294 loss: 0.9294 2022/08/01 19:27:22 - mmengine - INFO - Epoch(train) [95][100/940] lr: 1.0000e-04 eta: 1:11:33 time: 0.8124 data_time: 0.1804 memory: 13619 grad_norm: 4.7910 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8153 loss: 0.8153 2022/08/01 19:27:37 - mmengine - INFO - Epoch(train) [95][120/940] lr: 1.0000e-04 eta: 1:11:17 time: 0.7443 data_time: 0.0770 memory: 13619 grad_norm: 4.6940 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8770 loss: 0.8770 2022/08/01 19:27:53 - mmengine - INFO - Epoch(train) [95][140/940] lr: 1.0000e-04 eta: 1:11:02 time: 0.7900 data_time: 0.1186 memory: 13619 grad_norm: 4.5641 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9198 loss: 0.9198 2022/08/01 19:28:09 - mmengine - INFO - Epoch(train) [95][160/940] lr: 1.0000e-04 eta: 1:10:46 time: 0.7797 data_time: 0.1004 memory: 13619 grad_norm: 4.7503 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9019 loss: 0.9019 2022/08/01 19:28:24 - mmengine - INFO - Epoch(train) [95][180/940] lr: 1.0000e-04 eta: 1:10:31 time: 0.7636 data_time: 0.0598 memory: 13619 grad_norm: 4.6982 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7943 loss: 0.7943 2022/08/01 19:28:39 - mmengine - INFO - Epoch(train) [95][200/940] lr: 1.0000e-04 eta: 1:10:15 time: 0.7544 data_time: 0.0319 memory: 13619 grad_norm: 4.5921 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8861 loss: 0.8861 2022/08/01 19:28:56 - mmengine - INFO - Epoch(train) [95][220/940] lr: 1.0000e-04 eta: 1:10:00 time: 0.8233 data_time: 0.0598 memory: 13619 grad_norm: 4.5969 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8213 loss: 0.8213 2022/08/01 19:29:10 - mmengine - INFO - Epoch(train) [95][240/940] lr: 1.0000e-04 eta: 1:09:44 time: 0.7025 data_time: 0.0294 memory: 13619 grad_norm: 4.6878 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7635 loss: 0.7635 2022/08/01 19:29:27 - mmengine - INFO - Epoch(train) [95][260/940] lr: 1.0000e-04 eta: 1:09:29 time: 0.8695 data_time: 0.0393 memory: 13619 grad_norm: 4.7013 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8856 loss: 0.8856 2022/08/01 19:29:41 - mmengine - INFO - Epoch(train) [95][280/940] lr: 1.0000e-04 eta: 1:09:13 time: 0.6976 data_time: 0.0328 memory: 13619 grad_norm: 4.6650 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8636 loss: 0.8636 2022/08/01 19:29:57 - mmengine - INFO - Epoch(train) [95][300/940] lr: 1.0000e-04 eta: 1:08:58 time: 0.8048 data_time: 0.0459 memory: 13619 grad_norm: 4.6676 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8360 loss: 0.8360 2022/08/01 19:30:11 - mmengine - INFO - Epoch(train) [95][320/940] lr: 1.0000e-04 eta: 1:08:42 time: 0.6956 data_time: 0.0311 memory: 13619 grad_norm: 4.8200 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0007 loss: 1.0007 2022/08/01 19:30:26 - mmengine - INFO - Epoch(train) [95][340/940] lr: 1.0000e-04 eta: 1:08:27 time: 0.7420 data_time: 0.0375 memory: 13619 grad_norm: 4.7400 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9764 loss: 0.9764 2022/08/01 19:30:42 - mmengine - INFO - Epoch(train) [95][360/940] lr: 1.0000e-04 eta: 1:08:11 time: 0.7803 data_time: 0.0318 memory: 13619 grad_norm: 4.7040 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8326 loss: 0.8326 2022/08/01 19:30:57 - mmengine - INFO - Epoch(train) [95][380/940] lr: 1.0000e-04 eta: 1:07:56 time: 0.7770 data_time: 0.0478 memory: 13619 grad_norm: 4.5668 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8795 loss: 0.8795 2022/08/01 19:31:12 - mmengine - INFO - Epoch(train) [95][400/940] lr: 1.0000e-04 eta: 1:07:40 time: 0.7305 data_time: 0.0369 memory: 13619 grad_norm: 4.6131 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7816 loss: 0.7816 2022/08/01 19:31:28 - mmengine - INFO - Epoch(train) [95][420/940] lr: 1.0000e-04 eta: 1:07:25 time: 0.8015 data_time: 0.0387 memory: 13619 grad_norm: 4.6606 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9295 loss: 0.9295 2022/08/01 19:31:44 - mmengine - INFO - Epoch(train) [95][440/940] lr: 1.0000e-04 eta: 1:07:09 time: 0.8023 data_time: 0.0343 memory: 13619 grad_norm: 4.6102 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8195 loss: 0.8195 2022/08/01 19:31:57 - mmengine - INFO - Epoch(train) [95][460/940] lr: 1.0000e-04 eta: 1:06:53 time: 0.6645 data_time: 0.0380 memory: 13619 grad_norm: 4.6697 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8062 loss: 0.8062 2022/08/01 19:32:14 - mmengine - INFO - Epoch(train) [95][480/940] lr: 1.0000e-04 eta: 1:06:38 time: 0.8271 data_time: 0.0429 memory: 13619 grad_norm: 4.6409 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8476 loss: 0.8476 2022/08/01 19:32:27 - mmengine - INFO - Epoch(train) [95][500/940] lr: 1.0000e-04 eta: 1:06:22 time: 0.6845 data_time: 0.0311 memory: 13619 grad_norm: 4.8192 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8460 loss: 0.8460 2022/08/01 19:32:44 - mmengine - INFO - Epoch(train) [95][520/940] lr: 1.0000e-04 eta: 1:06:07 time: 0.8157 data_time: 0.0445 memory: 13619 grad_norm: 4.5516 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8506 loss: 0.8506 2022/08/01 19:32:58 - mmengine - INFO - Epoch(train) [95][540/940] lr: 1.0000e-04 eta: 1:05:51 time: 0.7209 data_time: 0.0318 memory: 13619 grad_norm: 4.6940 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8331 loss: 0.8331 2022/08/01 19:33:14 - mmengine - INFO - Epoch(train) [95][560/940] lr: 1.0000e-04 eta: 1:05:36 time: 0.7758 data_time: 0.0432 memory: 13619 grad_norm: 4.7791 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9128 loss: 0.9128 2022/08/01 19:33:28 - mmengine - INFO - Epoch(train) [95][580/940] lr: 1.0000e-04 eta: 1:05:20 time: 0.7358 data_time: 0.0384 memory: 13619 grad_norm: 4.6541 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8206 loss: 0.8206 2022/08/01 19:33:45 - mmengine - INFO - Epoch(train) [95][600/940] lr: 1.0000e-04 eta: 1:05:05 time: 0.8410 data_time: 0.0480 memory: 13619 grad_norm: 4.7440 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8745 loss: 0.8745 2022/08/01 19:33:59 - mmengine - INFO - Epoch(train) [95][620/940] lr: 1.0000e-04 eta: 1:04:49 time: 0.7193 data_time: 0.0325 memory: 13619 grad_norm: 4.5469 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6758 loss: 0.6758 2022/08/01 19:34:15 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 19:34:15 - mmengine - INFO - Epoch(train) [95][640/940] lr: 1.0000e-04 eta: 1:04:34 time: 0.7813 data_time: 0.0409 memory: 13619 grad_norm: 4.6654 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7965 loss: 0.7965 2022/08/01 19:34:31 - mmengine - INFO - Epoch(train) [95][660/940] lr: 1.0000e-04 eta: 1:04:18 time: 0.7960 data_time: 0.0330 memory: 13619 grad_norm: 4.6512 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8327 loss: 0.8327 2022/08/01 19:34:45 - mmengine - INFO - Epoch(train) [95][680/940] lr: 1.0000e-04 eta: 1:04:03 time: 0.7189 data_time: 0.0379 memory: 13619 grad_norm: 4.6987 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8305 loss: 0.8305 2022/08/01 19:35:00 - mmengine - INFO - Epoch(train) [95][700/940] lr: 1.0000e-04 eta: 1:03:47 time: 0.7278 data_time: 0.0343 memory: 13619 grad_norm: 4.5463 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8364 loss: 0.8364 2022/08/01 19:35:17 - mmengine - INFO - Epoch(train) [95][720/940] lr: 1.0000e-04 eta: 1:03:32 time: 0.8309 data_time: 0.0435 memory: 13619 grad_norm: 4.6384 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/01 19:35:31 - mmengine - INFO - Epoch(train) [95][740/940] lr: 1.0000e-04 eta: 1:03:16 time: 0.7148 data_time: 0.0337 memory: 13619 grad_norm: 4.6383 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9007 loss: 0.9007 2022/08/01 19:35:47 - mmengine - INFO - Epoch(train) [95][760/940] lr: 1.0000e-04 eta: 1:03:01 time: 0.7950 data_time: 0.0406 memory: 13619 grad_norm: 4.5508 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7132 loss: 0.7132 2022/08/01 19:36:01 - mmengine - INFO - Epoch(train) [95][780/940] lr: 1.0000e-04 eta: 1:02:45 time: 0.7188 data_time: 0.0361 memory: 13619 grad_norm: 4.6803 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8122 loss: 0.8122 2022/08/01 19:36:17 - mmengine - INFO - Epoch(train) [95][800/940] lr: 1.0000e-04 eta: 1:02:30 time: 0.7732 data_time: 0.0434 memory: 13619 grad_norm: 4.5976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7918 loss: 0.7918 2022/08/01 19:36:32 - mmengine - INFO - Epoch(train) [95][820/940] lr: 1.0000e-04 eta: 1:02:14 time: 0.7396 data_time: 0.0392 memory: 13619 grad_norm: 4.7148 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8616 loss: 0.8616 2022/08/01 19:36:48 - mmengine - INFO - Epoch(train) [95][840/940] lr: 1.0000e-04 eta: 1:01:59 time: 0.8000 data_time: 0.0476 memory: 13619 grad_norm: 4.7081 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7855 loss: 0.7855 2022/08/01 19:37:02 - mmengine - INFO - Epoch(train) [95][860/940] lr: 1.0000e-04 eta: 1:01:43 time: 0.7449 data_time: 0.0445 memory: 13619 grad_norm: 4.5847 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7908 loss: 0.7908 2022/08/01 19:37:18 - mmengine - INFO - Epoch(train) [95][880/940] lr: 1.0000e-04 eta: 1:01:28 time: 0.7976 data_time: 0.0390 memory: 13619 grad_norm: 4.5723 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8396 loss: 0.8396 2022/08/01 19:37:33 - mmengine - INFO - Epoch(train) [95][900/940] lr: 1.0000e-04 eta: 1:01:12 time: 0.7371 data_time: 0.0358 memory: 13619 grad_norm: 4.7494 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0203 loss: 1.0203 2022/08/01 19:37:49 - mmengine - INFO - Epoch(train) [95][920/940] lr: 1.0000e-04 eta: 1:00:57 time: 0.8118 data_time: 0.0444 memory: 13619 grad_norm: 4.6324 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7293 loss: 0.7293 2022/08/01 19:38:01 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 19:38:01 - mmengine - INFO - Epoch(train) [95][940/940] lr: 1.0000e-04 eta: 1:00:41 time: 0.5730 data_time: 0.0270 memory: 13619 grad_norm: 4.8202 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7739 loss: 0.7739 2022/08/01 19:38:18 - mmengine - INFO - Epoch(val) [95][20/78] eta: 0:00:49 time: 0.8481 data_time: 0.7509 memory: 2186 2022/08/01 19:38:30 - mmengine - INFO - Epoch(val) [95][40/78] eta: 0:00:23 time: 0.6060 data_time: 0.5077 memory: 2186 2022/08/01 19:38:46 - mmengine - INFO - Epoch(val) [95][60/78] eta: 0:00:14 time: 0.8169 data_time: 0.7250 memory: 2186 2022/08/01 19:39:00 - mmengine - INFO - Epoch(val) [95][78/78] acc/top1: 0.7095 acc/top5: 0.8952 acc/mean1: 0.7094 2022/08/01 19:39:00 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x5_100e_kinetics400_rgb/best_acc/top1_epoch_84.pth is removed 2022/08/01 19:39:02 - mmengine - INFO - The best checkpoint with 0.7095 acc/top1 at 96 epoch is saved to best_acc/top1_epoch_96.pth. 2022/08/01 19:39:22 - mmengine - INFO - Epoch(train) [96][20/940] lr: 1.0000e-04 eta: 1:00:26 time: 1.0061 data_time: 0.6733 memory: 13619 grad_norm: 4.7218 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8168 loss: 0.8168 2022/08/01 19:39:35 - mmengine - INFO - Epoch(train) [96][40/940] lr: 1.0000e-04 eta: 1:00:10 time: 0.6520 data_time: 0.3698 memory: 13619 grad_norm: 4.6812 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8476 loss: 0.8476 2022/08/01 19:39:53 - mmengine - INFO - Epoch(train) [96][60/940] lr: 1.0000e-04 eta: 0:59:55 time: 0.8766 data_time: 0.5852 memory: 13619 grad_norm: 4.6087 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8297 loss: 0.8297 2022/08/01 19:40:06 - mmengine - INFO - Epoch(train) [96][80/940] lr: 1.0000e-04 eta: 0:59:39 time: 0.6903 data_time: 0.4051 memory: 13619 grad_norm: 4.6366 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7951 loss: 0.7951 2022/08/01 19:40:22 - mmengine - INFO - Epoch(train) [96][100/940] lr: 1.0000e-04 eta: 0:59:24 time: 0.8050 data_time: 0.4075 memory: 13619 grad_norm: 4.5933 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7870 loss: 0.7870 2022/08/01 19:40:37 - mmengine - INFO - Epoch(train) [96][120/940] lr: 1.0000e-04 eta: 0:59:08 time: 0.7136 data_time: 0.3414 memory: 13619 grad_norm: 4.6365 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8408 loss: 0.8408 2022/08/01 19:40:54 - mmengine - INFO - Epoch(train) [96][140/940] lr: 1.0000e-04 eta: 0:58:53 time: 0.8740 data_time: 0.3149 memory: 13619 grad_norm: 4.7023 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7235 loss: 0.7235 2022/08/01 19:41:08 - mmengine - INFO - Epoch(train) [96][160/940] lr: 1.0000e-04 eta: 0:58:37 time: 0.6796 data_time: 0.2722 memory: 13619 grad_norm: 4.5965 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9600 loss: 0.9600 2022/08/01 19:41:25 - mmengine - INFO - Epoch(train) [96][180/940] lr: 1.0000e-04 eta: 0:58:22 time: 0.8552 data_time: 0.4136 memory: 13619 grad_norm: 4.8231 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8938 loss: 0.8938 2022/08/01 19:41:38 - mmengine - INFO - Epoch(train) [96][200/940] lr: 1.0000e-04 eta: 0:58:06 time: 0.6476 data_time: 0.2656 memory: 13619 grad_norm: 4.8183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0332 loss: 1.0332 2022/08/01 19:41:55 - mmengine - INFO - Epoch(train) [96][220/940] lr: 1.0000e-04 eta: 0:57:51 time: 0.8611 data_time: 0.4662 memory: 13619 grad_norm: 4.6414 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8757 loss: 0.8757 2022/08/01 19:42:09 - mmengine - INFO - Epoch(train) [96][240/940] lr: 1.0000e-04 eta: 0:57:35 time: 0.6992 data_time: 0.2809 memory: 13619 grad_norm: 4.5751 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8100 loss: 0.8100 2022/08/01 19:42:26 - mmengine - INFO - Epoch(train) [96][260/940] lr: 1.0000e-04 eta: 0:57:20 time: 0.8607 data_time: 0.1327 memory: 13619 grad_norm: 4.5813 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8177 loss: 0.8177 2022/08/01 19:42:41 - mmengine - INFO - Epoch(train) [96][280/940] lr: 1.0000e-04 eta: 0:57:04 time: 0.7234 data_time: 0.1692 memory: 13619 grad_norm: 4.6665 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8263 loss: 0.8263 2022/08/01 19:42:56 - mmengine - INFO - Epoch(train) [96][300/940] lr: 1.0000e-04 eta: 0:56:49 time: 0.7515 data_time: 0.2619 memory: 13619 grad_norm: 4.6183 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8125 loss: 0.8125 2022/08/01 19:43:12 - mmengine - INFO - Epoch(train) [96][320/940] lr: 1.0000e-04 eta: 0:56:33 time: 0.8031 data_time: 0.4529 memory: 13619 grad_norm: 4.7297 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9491 loss: 0.9491 2022/08/01 19:43:27 - mmengine - INFO - Epoch(train) [96][340/940] lr: 1.0000e-04 eta: 0:56:18 time: 0.7549 data_time: 0.2230 memory: 13619 grad_norm: 4.7816 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8762 loss: 0.8762 2022/08/01 19:43:42 - mmengine - INFO - Epoch(train) [96][360/940] lr: 1.0000e-04 eta: 0:56:02 time: 0.7501 data_time: 0.2251 memory: 13619 grad_norm: 4.7272 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8028 loss: 0.8028 2022/08/01 19:43:57 - mmengine - INFO - Epoch(train) [96][380/940] lr: 1.0000e-04 eta: 0:55:47 time: 0.7434 data_time: 0.2095 memory: 13619 grad_norm: 4.6264 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8718 loss: 0.8718 2022/08/01 19:44:12 - mmengine - INFO - Epoch(train) [96][400/940] lr: 1.0000e-04 eta: 0:55:31 time: 0.7737 data_time: 0.4440 memory: 13619 grad_norm: 4.6070 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9388 loss: 0.9388 2022/08/01 19:44:28 - mmengine - INFO - Epoch(train) [96][420/940] lr: 1.0000e-04 eta: 0:55:16 time: 0.7714 data_time: 0.3413 memory: 13619 grad_norm: 4.7242 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9560 loss: 0.9560 2022/08/01 19:44:42 - mmengine - INFO - Epoch(train) [96][440/940] lr: 1.0000e-04 eta: 0:55:00 time: 0.7088 data_time: 0.1981 memory: 13619 grad_norm: 4.6584 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8056 loss: 0.8056 2022/08/01 19:44:58 - mmengine - INFO - Epoch(train) [96][460/940] lr: 1.0000e-04 eta: 0:54:45 time: 0.7920 data_time: 0.2270 memory: 13619 grad_norm: 4.7224 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7769 loss: 0.7769 2022/08/01 19:45:12 - mmengine - INFO - Epoch(train) [96][480/940] lr: 1.0000e-04 eta: 0:54:29 time: 0.6917 data_time: 0.1615 memory: 13619 grad_norm: 4.7252 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8540 loss: 0.8540 2022/08/01 19:45:31 - mmengine - INFO - Epoch(train) [96][500/940] lr: 1.0000e-04 eta: 0:54:14 time: 0.9419 data_time: 0.0687 memory: 13619 grad_norm: 4.6102 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9110 loss: 0.9110 2022/08/01 19:45:44 - mmengine - INFO - Epoch(train) [96][520/940] lr: 1.0000e-04 eta: 0:53:58 time: 0.6706 data_time: 0.0366 memory: 13619 grad_norm: 4.7586 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9565 loss: 0.9565 2022/08/01 19:46:01 - mmengine - INFO - Epoch(train) [96][540/940] lr: 1.0000e-04 eta: 0:53:43 time: 0.8453 data_time: 0.0466 memory: 13619 grad_norm: 4.4826 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7797 loss: 0.7797 2022/08/01 19:46:14 - mmengine - INFO - Epoch(train) [96][560/940] lr: 1.0000e-04 eta: 0:53:27 time: 0.6415 data_time: 0.0396 memory: 13619 grad_norm: 4.7606 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8416 loss: 0.8416 2022/08/01 19:46:32 - mmengine - INFO - Epoch(train) [96][580/940] lr: 1.0000e-04 eta: 0:53:12 time: 0.9072 data_time: 0.0384 memory: 13619 grad_norm: 4.7187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8356 loss: 0.8356 2022/08/01 19:46:45 - mmengine - INFO - Epoch(train) [96][600/940] lr: 1.0000e-04 eta: 0:52:56 time: 0.6298 data_time: 0.0361 memory: 13619 grad_norm: 4.6274 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9733 loss: 0.9733 2022/08/01 19:47:01 - mmengine - INFO - Epoch(train) [96][620/940] lr: 1.0000e-04 eta: 0:52:41 time: 0.8137 data_time: 0.0386 memory: 13619 grad_norm: 4.7708 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8734 loss: 0.8734 2022/08/01 19:47:15 - mmengine - INFO - Epoch(train) [96][640/940] lr: 1.0000e-04 eta: 0:52:25 time: 0.7198 data_time: 0.0357 memory: 13619 grad_norm: 4.6197 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8903 loss: 0.8903 2022/08/01 19:47:31 - mmengine - INFO - Epoch(train) [96][660/940] lr: 1.0000e-04 eta: 0:52:10 time: 0.7901 data_time: 0.0452 memory: 13619 grad_norm: 4.7440 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/01 19:47:44 - mmengine - INFO - Epoch(train) [96][680/940] lr: 1.0000e-04 eta: 0:51:54 time: 0.6500 data_time: 0.0340 memory: 13619 grad_norm: 4.7924 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9505 loss: 0.9505 2022/08/01 19:48:01 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 19:48:01 - mmengine - INFO - Epoch(train) [96][700/940] lr: 1.0000e-04 eta: 0:51:39 time: 0.8459 data_time: 0.0390 memory: 13619 grad_norm: 4.5988 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7899 loss: 0.7899 2022/08/01 19:48:15 - mmengine - INFO - Epoch(train) [96][720/940] lr: 1.0000e-04 eta: 0:51:23 time: 0.7168 data_time: 0.0335 memory: 13619 grad_norm: 4.5585 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8698 loss: 0.8698 2022/08/01 19:48:31 - mmengine - INFO - Epoch(train) [96][740/940] lr: 1.0000e-04 eta: 0:51:07 time: 0.7928 data_time: 0.0560 memory: 13619 grad_norm: 4.7125 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9014 loss: 0.9014 2022/08/01 19:48:45 - mmengine - INFO - Epoch(train) [96][760/940] lr: 1.0000e-04 eta: 0:50:52 time: 0.6882 data_time: 0.0361 memory: 13619 grad_norm: 4.6851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7812 loss: 0.7812 2022/08/01 19:49:01 - mmengine - INFO - Epoch(train) [96][780/940] lr: 1.0000e-04 eta: 0:50:36 time: 0.8145 data_time: 0.0436 memory: 13619 grad_norm: 4.6312 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8164 loss: 0.8164 2022/08/01 19:49:16 - mmengine - INFO - Epoch(train) [96][800/940] lr: 1.0000e-04 eta: 0:50:21 time: 0.7470 data_time: 0.0341 memory: 13619 grad_norm: 4.6553 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8630 loss: 0.8630 2022/08/01 19:49:33 - mmengine - INFO - Epoch(train) [96][820/940] lr: 1.0000e-04 eta: 0:50:06 time: 0.8538 data_time: 0.0497 memory: 13619 grad_norm: 4.6155 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8459 loss: 0.8459 2022/08/01 19:49:47 - mmengine - INFO - Epoch(train) [96][840/940] lr: 1.0000e-04 eta: 0:49:50 time: 0.6726 data_time: 0.0348 memory: 13619 grad_norm: 4.7472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9099 loss: 0.9099 2022/08/01 19:50:03 - mmengine - INFO - Epoch(train) [96][860/940] lr: 1.0000e-04 eta: 0:49:34 time: 0.8338 data_time: 0.0496 memory: 13619 grad_norm: 4.7274 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8647 loss: 0.8647 2022/08/01 19:50:18 - mmengine - INFO - Epoch(train) [96][880/940] lr: 1.0000e-04 eta: 0:49:19 time: 0.7117 data_time: 0.0370 memory: 13619 grad_norm: 4.6076 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8392 loss: 0.8392 2022/08/01 19:50:34 - mmengine - INFO - Epoch(train) [96][900/940] lr: 1.0000e-04 eta: 0:49:03 time: 0.8001 data_time: 0.1048 memory: 13619 grad_norm: 4.7419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8283 loss: 0.8283 2022/08/01 19:50:48 - mmengine - INFO - Epoch(train) [96][920/940] lr: 1.0000e-04 eta: 0:48:48 time: 0.7093 data_time: 0.0357 memory: 13619 grad_norm: 4.7718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8179 loss: 0.8179 2022/08/01 19:51:03 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 19:51:03 - mmengine - INFO - Epoch(train) [96][940/940] lr: 1.0000e-04 eta: 0:48:32 time: 0.7323 data_time: 0.0281 memory: 13619 grad_norm: 4.8848 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8161 loss: 0.8161 2022/08/01 19:51:03 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/01 19:51:23 - mmengine - INFO - Epoch(val) [96][20/78] eta: 0:00:51 time: 0.8801 data_time: 0.7894 memory: 2186 2022/08/01 19:51:34 - mmengine - INFO - Epoch(val) [96][40/78] eta: 0:00:22 time: 0.5933 data_time: 0.5006 memory: 2186 2022/08/01 19:51:51 - mmengine - INFO - Epoch(val) [96][60/78] eta: 0:00:14 time: 0.8214 data_time: 0.7152 memory: 2186 2022/08/01 19:52:03 - mmengine - INFO - Epoch(val) [96][78/78] acc/top1: 0.7074 acc/top5: 0.8942 acc/mean1: 0.7073 2022/08/01 19:52:23 - mmengine - INFO - Epoch(train) [97][20/940] lr: 1.0000e-04 eta: 0:48:17 time: 1.0101 data_time: 0.3693 memory: 13619 grad_norm: 4.7858 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8794 loss: 0.8794 2022/08/01 19:52:37 - mmengine - INFO - Epoch(train) [97][40/940] lr: 1.0000e-04 eta: 0:48:02 time: 0.6922 data_time: 0.0924 memory: 13619 grad_norm: 4.6170 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8565 loss: 0.8565 2022/08/01 19:52:54 - mmengine - INFO - Epoch(train) [97][60/940] lr: 1.0000e-04 eta: 0:47:46 time: 0.8502 data_time: 0.0441 memory: 13619 grad_norm: 4.6976 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9057 loss: 0.9057 2022/08/01 19:53:10 - mmengine - INFO - Epoch(train) [97][80/940] lr: 1.0000e-04 eta: 0:47:31 time: 0.7619 data_time: 0.0378 memory: 13619 grad_norm: 4.7240 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8457 loss: 0.8457 2022/08/01 19:53:26 - mmengine - INFO - Epoch(train) [97][100/940] lr: 1.0000e-04 eta: 0:47:15 time: 0.8321 data_time: 0.0425 memory: 13619 grad_norm: 4.5489 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9086 loss: 0.9086 2022/08/01 19:53:39 - mmengine - INFO - Epoch(train) [97][120/940] lr: 1.0000e-04 eta: 0:47:00 time: 0.6389 data_time: 0.0328 memory: 13619 grad_norm: 4.6883 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8318 loss: 0.8318 2022/08/01 19:53:56 - mmengine - INFO - Epoch(train) [97][140/940] lr: 1.0000e-04 eta: 0:46:44 time: 0.8523 data_time: 0.0555 memory: 13619 grad_norm: 4.5883 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.7981 loss: 0.7981 2022/08/01 19:54:09 - mmengine - INFO - Epoch(train) [97][160/940] lr: 1.0000e-04 eta: 0:46:29 time: 0.6473 data_time: 0.0425 memory: 13619 grad_norm: 4.6832 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8331 loss: 0.8331 2022/08/01 19:54:26 - mmengine - INFO - Epoch(train) [97][180/940] lr: 1.0000e-04 eta: 0:46:13 time: 0.8717 data_time: 0.0853 memory: 13619 grad_norm: 4.7166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9229 loss: 0.9229 2022/08/01 19:54:40 - mmengine - INFO - Epoch(train) [97][200/940] lr: 1.0000e-04 eta: 0:45:58 time: 0.6796 data_time: 0.1840 memory: 13619 grad_norm: 4.5688 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8992 loss: 0.8992 2022/08/01 19:54:57 - mmengine - INFO - Epoch(train) [97][220/940] lr: 1.0000e-04 eta: 0:45:42 time: 0.8581 data_time: 0.2511 memory: 13619 grad_norm: 4.6188 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8176 loss: 0.8176 2022/08/01 19:55:11 - mmengine - INFO - Epoch(train) [97][240/940] lr: 1.0000e-04 eta: 0:45:27 time: 0.7017 data_time: 0.1216 memory: 13619 grad_norm: 4.8116 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9274 loss: 0.9274 2022/08/01 19:55:28 - mmengine - INFO - Epoch(train) [97][260/940] lr: 1.0000e-04 eta: 0:45:11 time: 0.8136 data_time: 0.1376 memory: 13619 grad_norm: 4.7097 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8517 loss: 0.8517 2022/08/01 19:55:43 - mmengine - INFO - Epoch(train) [97][280/940] lr: 1.0000e-04 eta: 0:44:56 time: 0.7508 data_time: 0.1449 memory: 13619 grad_norm: 4.7112 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7422 loss: 0.7422 2022/08/01 19:55:57 - mmengine - INFO - Epoch(train) [97][300/940] lr: 1.0000e-04 eta: 0:44:40 time: 0.7160 data_time: 0.1714 memory: 13619 grad_norm: 4.5898 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7117 loss: 0.7117 2022/08/01 19:56:12 - mmengine - INFO - Epoch(train) [97][320/940] lr: 1.0000e-04 eta: 0:44:25 time: 0.7641 data_time: 0.0393 memory: 13619 grad_norm: 4.8186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9050 loss: 0.9050 2022/08/01 19:56:28 - mmengine - INFO - Epoch(train) [97][340/940] lr: 1.0000e-04 eta: 0:44:09 time: 0.7718 data_time: 0.1814 memory: 13619 grad_norm: 4.6969 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9036 loss: 0.9036 2022/08/01 19:56:43 - mmengine - INFO - Epoch(train) [97][360/940] lr: 1.0000e-04 eta: 0:43:54 time: 0.7406 data_time: 0.3523 memory: 13619 grad_norm: 4.7508 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9390 loss: 0.9390 2022/08/01 19:56:58 - mmengine - INFO - Epoch(train) [97][380/940] lr: 1.0000e-04 eta: 0:43:38 time: 0.7685 data_time: 0.2706 memory: 13619 grad_norm: 4.6893 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9266 loss: 0.9266 2022/08/01 19:57:12 - mmengine - INFO - Epoch(train) [97][400/940] lr: 1.0000e-04 eta: 0:43:22 time: 0.7203 data_time: 0.1771 memory: 13619 grad_norm: 4.7932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9551 loss: 0.9551 2022/08/01 19:57:29 - mmengine - INFO - Epoch(train) [97][420/940] lr: 1.0000e-04 eta: 0:43:07 time: 0.8148 data_time: 0.0493 memory: 13619 grad_norm: 4.7787 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8003 loss: 0.8003 2022/08/01 19:57:43 - mmengine - INFO - Epoch(train) [97][440/940] lr: 1.0000e-04 eta: 0:42:51 time: 0.7382 data_time: 0.1116 memory: 13619 grad_norm: 4.6206 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9375 loss: 0.9375 2022/08/01 19:58:01 - mmengine - INFO - Epoch(train) [97][460/940] lr: 1.0000e-04 eta: 0:42:36 time: 0.9043 data_time: 0.2362 memory: 13619 grad_norm: 4.7201 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8488 loss: 0.8488 2022/08/01 19:58:15 - mmengine - INFO - Epoch(train) [97][480/940] lr: 1.0000e-04 eta: 0:42:21 time: 0.6624 data_time: 0.2037 memory: 13619 grad_norm: 4.5726 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7444 loss: 0.7444 2022/08/01 19:58:32 - mmengine - INFO - Epoch(train) [97][500/940] lr: 1.0000e-04 eta: 0:42:05 time: 0.8576 data_time: 0.3276 memory: 13619 grad_norm: 4.5490 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8685 loss: 0.8685 2022/08/01 19:58:45 - mmengine - INFO - Epoch(train) [97][520/940] lr: 1.0000e-04 eta: 0:41:50 time: 0.6682 data_time: 0.1702 memory: 13619 grad_norm: 4.6273 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8159 loss: 0.8159 2022/08/01 19:59:02 - mmengine - INFO - Epoch(train) [97][540/940] lr: 1.0000e-04 eta: 0:41:34 time: 0.8268 data_time: 0.2914 memory: 13619 grad_norm: 4.7147 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8406 loss: 0.8406 2022/08/01 19:59:16 - mmengine - INFO - Epoch(train) [97][560/940] lr: 1.0000e-04 eta: 0:41:19 time: 0.7159 data_time: 0.2237 memory: 13619 grad_norm: 4.7343 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7760 loss: 0.7760 2022/08/01 19:59:32 - mmengine - INFO - Epoch(train) [97][580/940] lr: 1.0000e-04 eta: 0:41:03 time: 0.7861 data_time: 0.1134 memory: 13619 grad_norm: 4.7511 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8532 loss: 0.8532 2022/08/01 19:59:46 - mmengine - INFO - Epoch(train) [97][600/940] lr: 1.0000e-04 eta: 0:40:47 time: 0.7198 data_time: 0.0273 memory: 13619 grad_norm: 4.5369 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8015 loss: 0.8015 2022/08/01 20:00:03 - mmengine - INFO - Epoch(train) [97][620/940] lr: 1.0000e-04 eta: 0:40:32 time: 0.8257 data_time: 0.0607 memory: 13619 grad_norm: 4.5636 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9221 loss: 0.9221 2022/08/01 20:00:16 - mmengine - INFO - Epoch(train) [97][640/940] lr: 1.0000e-04 eta: 0:40:16 time: 0.6602 data_time: 0.0373 memory: 13619 grad_norm: 4.5212 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7615 loss: 0.7615 2022/08/01 20:00:33 - mmengine - INFO - Epoch(train) [97][660/940] lr: 1.0000e-04 eta: 0:40:01 time: 0.8322 data_time: 0.0819 memory: 13619 grad_norm: 4.6608 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8621 loss: 0.8621 2022/08/01 20:00:48 - mmengine - INFO - Epoch(train) [97][680/940] lr: 1.0000e-04 eta: 0:39:46 time: 0.7840 data_time: 0.1131 memory: 13619 grad_norm: 4.6259 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7574 loss: 0.7574 2022/08/01 20:01:05 - mmengine - INFO - Epoch(train) [97][700/940] lr: 1.0000e-04 eta: 0:39:30 time: 0.8077 data_time: 0.2503 memory: 13619 grad_norm: 4.7823 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8177 loss: 0.8177 2022/08/01 20:01:18 - mmengine - INFO - Epoch(train) [97][720/940] lr: 1.0000e-04 eta: 0:39:14 time: 0.6748 data_time: 0.1947 memory: 13619 grad_norm: 4.6402 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7792 loss: 0.7792 2022/08/01 20:01:36 - mmengine - INFO - Epoch(train) [97][740/940] lr: 1.0000e-04 eta: 0:38:59 time: 0.9091 data_time: 0.3146 memory: 13619 grad_norm: 4.6958 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8371 loss: 0.8371 2022/08/01 20:01:50 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 20:01:50 - mmengine - INFO - Epoch(train) [97][760/940] lr: 1.0000e-04 eta: 0:38:44 time: 0.7022 data_time: 0.1906 memory: 13619 grad_norm: 4.7382 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8287 loss: 0.8287 2022/08/01 20:02:07 - mmengine - INFO - Epoch(train) [97][780/940] lr: 1.0000e-04 eta: 0:38:28 time: 0.8302 data_time: 0.3210 memory: 13619 grad_norm: 4.6712 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8035 loss: 0.8035 2022/08/01 20:02:20 - mmengine - INFO - Epoch(train) [97][800/940] lr: 1.0000e-04 eta: 0:38:13 time: 0.6299 data_time: 0.2021 memory: 13619 grad_norm: 4.8237 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7811 loss: 0.7811 2022/08/01 20:02:37 - mmengine - INFO - Epoch(train) [97][820/940] lr: 1.0000e-04 eta: 0:37:57 time: 0.8596 data_time: 0.2906 memory: 13619 grad_norm: 4.7520 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7433 loss: 0.7433 2022/08/01 20:02:50 - mmengine - INFO - Epoch(train) [97][840/940] lr: 1.0000e-04 eta: 0:37:41 time: 0.6441 data_time: 0.1715 memory: 13619 grad_norm: 4.5824 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7629 loss: 0.7629 2022/08/01 20:03:07 - mmengine - INFO - Epoch(train) [97][860/940] lr: 1.0000e-04 eta: 0:37:26 time: 0.8541 data_time: 0.4667 memory: 13619 grad_norm: 4.7132 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.8086 loss: 0.8086 2022/08/01 20:03:20 - mmengine - INFO - Epoch(train) [97][880/940] lr: 1.0000e-04 eta: 0:37:10 time: 0.6632 data_time: 0.3121 memory: 13619 grad_norm: 4.6525 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8589 loss: 0.8589 2022/08/01 20:03:37 - mmengine - INFO - Epoch(train) [97][900/940] lr: 1.0000e-04 eta: 0:36:55 time: 0.8651 data_time: 0.3363 memory: 13619 grad_norm: 4.7050 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9286 loss: 0.9286 2022/08/01 20:03:50 - mmengine - INFO - Epoch(train) [97][920/940] lr: 1.0000e-04 eta: 0:36:39 time: 0.6430 data_time: 0.2849 memory: 13619 grad_norm: 4.6743 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8873 loss: 0.8873 2022/08/01 20:04:05 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 20:04:05 - mmengine - INFO - Epoch(train) [97][940/940] lr: 1.0000e-04 eta: 0:36:24 time: 0.7284 data_time: 0.4493 memory: 13619 grad_norm: 5.0525 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9624 loss: 0.9624 2022/08/01 20:04:22 - mmengine - INFO - Epoch(val) [97][20/78] eta: 0:00:49 time: 0.8475 data_time: 0.7515 memory: 2186 2022/08/01 20:04:34 - mmengine - INFO - Epoch(val) [97][40/78] eta: 0:00:22 time: 0.6022 data_time: 0.5078 memory: 2186 2022/08/01 20:04:50 - mmengine - INFO - Epoch(val) [97][60/78] eta: 0:00:14 time: 0.8186 data_time: 0.7255 memory: 2186 2022/08/01 20:06:04 - mmengine - INFO - Epoch(val) [97][78/78] acc/top1: 0.7073 acc/top5: 0.8938 acc/mean1: 0.7071 2022/08/01 20:06:24 - mmengine - INFO - Epoch(train) [98][20/940] lr: 1.0000e-04 eta: 0:36:09 time: 0.9913 data_time: 0.5552 memory: 13619 grad_norm: 4.6251 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8580 loss: 0.8580 2022/08/01 20:06:38 - mmengine - INFO - Epoch(train) [98][40/940] lr: 1.0000e-04 eta: 0:35:53 time: 0.6723 data_time: 0.2090 memory: 13619 grad_norm: 4.7202 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9277 loss: 0.9277 2022/08/01 20:06:54 - mmengine - INFO - Epoch(train) [98][60/940] lr: 1.0000e-04 eta: 0:35:38 time: 0.8264 data_time: 0.3886 memory: 13619 grad_norm: 4.6174 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8477 loss: 0.8477 2022/08/01 20:07:08 - mmengine - INFO - Epoch(train) [98][80/940] lr: 1.0000e-04 eta: 0:35:22 time: 0.6603 data_time: 0.2664 memory: 13619 grad_norm: 4.6707 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7945 loss: 0.7945 2022/08/01 20:07:25 - mmengine - INFO - Epoch(train) [98][100/940] lr: 1.0000e-04 eta: 0:35:07 time: 0.8539 data_time: 0.3512 memory: 13619 grad_norm: 4.6591 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9288 loss: 0.9288 2022/08/01 20:07:37 - mmengine - INFO - Epoch(train) [98][120/940] lr: 1.0000e-04 eta: 0:34:51 time: 0.6322 data_time: 0.2750 memory: 13619 grad_norm: 4.5457 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8985 loss: 0.8985 2022/08/01 20:07:55 - mmengine - INFO - Epoch(train) [98][140/940] lr: 1.0000e-04 eta: 0:34:36 time: 0.8593 data_time: 0.4273 memory: 13619 grad_norm: 4.7023 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9590 loss: 0.9590 2022/08/01 20:08:08 - mmengine - INFO - Epoch(train) [98][160/940] lr: 1.0000e-04 eta: 0:34:20 time: 0.6938 data_time: 0.2659 memory: 13619 grad_norm: 4.7204 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7797 loss: 0.7797 2022/08/01 20:08:26 - mmengine - INFO - Epoch(train) [98][180/940] lr: 1.0000e-04 eta: 0:34:05 time: 0.8652 data_time: 0.2091 memory: 13619 grad_norm: 4.6919 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9148 loss: 0.9148 2022/08/01 20:08:40 - mmengine - INFO - Epoch(train) [98][200/940] lr: 1.0000e-04 eta: 0:33:49 time: 0.6915 data_time: 0.1909 memory: 13619 grad_norm: 4.5702 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8078 loss: 0.8078 2022/08/01 20:08:57 - mmengine - INFO - Epoch(train) [98][220/940] lr: 1.0000e-04 eta: 0:33:34 time: 0.8627 data_time: 0.2120 memory: 13619 grad_norm: 4.6894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8791 loss: 0.8791 2022/08/01 20:09:09 - mmengine - INFO - Epoch(train) [98][240/940] lr: 1.0000e-04 eta: 0:33:18 time: 0.6317 data_time: 0.0678 memory: 13619 grad_norm: 4.7768 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8580 loss: 0.8580 2022/08/01 20:09:27 - mmengine - INFO - Epoch(train) [98][260/940] lr: 1.0000e-04 eta: 0:33:03 time: 0.8650 data_time: 0.2021 memory: 13619 grad_norm: 4.6942 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8020 loss: 0.8020 2022/08/01 20:09:40 - mmengine - INFO - Epoch(train) [98][280/940] lr: 1.0000e-04 eta: 0:32:47 time: 0.6767 data_time: 0.1781 memory: 13619 grad_norm: 4.7931 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9028 loss: 0.9028 2022/08/01 20:09:58 - mmengine - INFO - Epoch(train) [98][300/940] lr: 1.0000e-04 eta: 0:32:32 time: 0.8971 data_time: 0.2179 memory: 13619 grad_norm: 4.8279 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8838 loss: 0.8838 2022/08/01 20:10:12 - mmengine - INFO - Epoch(train) [98][320/940] lr: 1.0000e-04 eta: 0:32:16 time: 0.7048 data_time: 0.0381 memory: 13619 grad_norm: 4.6197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9021 loss: 0.9021 2022/08/01 20:10:29 - mmengine - INFO - Epoch(train) [98][340/940] lr: 1.0000e-04 eta: 0:32:01 time: 0.8251 data_time: 0.0369 memory: 13619 grad_norm: 4.7235 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8498 loss: 0.8498 2022/08/01 20:10:43 - mmengine - INFO - Epoch(train) [98][360/940] lr: 1.0000e-04 eta: 0:31:45 time: 0.7159 data_time: 0.0344 memory: 13619 grad_norm: 4.6894 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7842 loss: 0.7842 2022/08/01 20:10:59 - mmengine - INFO - Epoch(train) [98][380/940] lr: 1.0000e-04 eta: 0:31:30 time: 0.7995 data_time: 0.0376 memory: 13619 grad_norm: 4.6932 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8371 loss: 0.8371 2022/08/01 20:11:12 - mmengine - INFO - Epoch(train) [98][400/940] lr: 1.0000e-04 eta: 0:31:14 time: 0.6428 data_time: 0.0299 memory: 13619 grad_norm: 4.6850 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8562 loss: 0.8562 2022/08/01 20:11:29 - mmengine - INFO - Epoch(train) [98][420/940] lr: 1.0000e-04 eta: 0:30:59 time: 0.8442 data_time: 0.0736 memory: 13619 grad_norm: 4.6585 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8492 loss: 0.8492 2022/08/01 20:11:44 - mmengine - INFO - Epoch(train) [98][440/940] lr: 1.0000e-04 eta: 0:30:43 time: 0.7307 data_time: 0.0405 memory: 13619 grad_norm: 4.6738 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8473 loss: 0.8473 2022/08/01 20:12:00 - mmengine - INFO - Epoch(train) [98][460/940] lr: 1.0000e-04 eta: 0:30:28 time: 0.8435 data_time: 0.0385 memory: 13619 grad_norm: 4.7114 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8691 loss: 0.8691 2022/08/01 20:12:13 - mmengine - INFO - Epoch(train) [98][480/940] lr: 1.0000e-04 eta: 0:30:12 time: 0.6307 data_time: 0.0402 memory: 13619 grad_norm: 4.6857 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7671 loss: 0.7671 2022/08/01 20:12:31 - mmengine - INFO - Epoch(train) [98][500/940] lr: 1.0000e-04 eta: 0:29:57 time: 0.8808 data_time: 0.0459 memory: 13619 grad_norm: 4.7355 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8970 loss: 0.8970 2022/08/01 20:12:45 - mmengine - INFO - Epoch(train) [98][520/940] lr: 1.0000e-04 eta: 0:29:41 time: 0.7004 data_time: 0.0279 memory: 13619 grad_norm: 4.7922 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9029 loss: 0.9029 2022/08/01 20:13:01 - mmengine - INFO - Epoch(train) [98][540/940] lr: 1.0000e-04 eta: 0:29:26 time: 0.8123 data_time: 0.0494 memory: 13619 grad_norm: 4.5634 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7727 loss: 0.7727 2022/08/01 20:13:15 - mmengine - INFO - Epoch(train) [98][560/940] lr: 1.0000e-04 eta: 0:29:10 time: 0.7095 data_time: 0.0280 memory: 13619 grad_norm: 4.7140 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8179 loss: 0.8179 2022/08/01 20:13:32 - mmengine - INFO - Epoch(train) [98][580/940] lr: 1.0000e-04 eta: 0:28:55 time: 0.8520 data_time: 0.0375 memory: 13619 grad_norm: 4.6933 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7642 loss: 0.7642 2022/08/01 20:13:45 - mmengine - INFO - Epoch(train) [98][600/940] lr: 1.0000e-04 eta: 0:28:39 time: 0.6518 data_time: 0.0320 memory: 13619 grad_norm: 4.6982 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7744 loss: 0.7744 2022/08/01 20:14:04 - mmengine - INFO - Epoch(train) [98][620/940] lr: 1.0000e-04 eta: 0:28:24 time: 0.9218 data_time: 0.0369 memory: 13619 grad_norm: 4.7312 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.8530 loss: 0.8530 2022/08/01 20:14:16 - mmengine - INFO - Epoch(train) [98][640/940] lr: 1.0000e-04 eta: 0:28:08 time: 0.6173 data_time: 0.0281 memory: 13619 grad_norm: 4.5819 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8954 loss: 0.8954 2022/08/01 20:14:33 - mmengine - INFO - Epoch(train) [98][660/940] lr: 1.0000e-04 eta: 0:27:53 time: 0.8364 data_time: 0.0379 memory: 13619 grad_norm: 4.8180 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8699 loss: 0.8699 2022/08/01 20:14:47 - mmengine - INFO - Epoch(train) [98][680/940] lr: 1.0000e-04 eta: 0:27:37 time: 0.7081 data_time: 0.0308 memory: 13619 grad_norm: 4.8164 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8643 loss: 0.8643 2022/08/01 20:15:04 - mmengine - INFO - Epoch(train) [98][700/940] lr: 1.0000e-04 eta: 0:27:22 time: 0.8243 data_time: 0.0371 memory: 13619 grad_norm: 4.7041 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7860 loss: 0.7860 2022/08/01 20:15:18 - mmengine - INFO - Epoch(train) [98][720/940] lr: 1.0000e-04 eta: 0:27:06 time: 0.7117 data_time: 0.1570 memory: 13619 grad_norm: 4.6104 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8924 loss: 0.8924 2022/08/01 20:15:36 - mmengine - INFO - Epoch(train) [98][740/940] lr: 1.0000e-04 eta: 0:26:51 time: 0.8961 data_time: 0.0515 memory: 13619 grad_norm: 4.7138 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8504 loss: 0.8504 2022/08/01 20:15:49 - mmengine - INFO - Epoch(train) [98][760/940] lr: 1.0000e-04 eta: 0:26:35 time: 0.6458 data_time: 0.1064 memory: 13619 grad_norm: 4.6483 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7469 loss: 0.7469 2022/08/01 20:16:05 - mmengine - INFO - Epoch(train) [98][780/940] lr: 1.0000e-04 eta: 0:26:20 time: 0.8340 data_time: 0.0451 memory: 13619 grad_norm: 4.6389 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8126 loss: 0.8126 2022/08/01 20:16:19 - mmengine - INFO - Epoch(train) [98][800/940] lr: 1.0000e-04 eta: 0:26:04 time: 0.6726 data_time: 0.0329 memory: 13619 grad_norm: 4.5939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8643 loss: 0.8643 2022/08/01 20:16:37 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 20:16:37 - mmengine - INFO - Epoch(train) [98][820/940] lr: 1.0000e-04 eta: 0:25:49 time: 0.8877 data_time: 0.0360 memory: 13619 grad_norm: 4.7078 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8114 loss: 0.8114 2022/08/01 20:16:49 - mmengine - INFO - Epoch(train) [98][840/940] lr: 1.0000e-04 eta: 0:25:33 time: 0.6282 data_time: 0.0288 memory: 13619 grad_norm: 4.6560 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8414 loss: 0.8414 2022/08/01 20:17:06 - mmengine - INFO - Epoch(train) [98][860/940] lr: 1.0000e-04 eta: 0:25:18 time: 0.8216 data_time: 0.0380 memory: 13619 grad_norm: 4.6393 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8152 loss: 0.8152 2022/08/01 20:17:20 - mmengine - INFO - Epoch(train) [98][880/940] lr: 1.0000e-04 eta: 0:25:02 time: 0.7003 data_time: 0.0315 memory: 13619 grad_norm: 4.5596 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7677 loss: 0.7677 2022/08/01 20:17:37 - mmengine - INFO - Epoch(train) [98][900/940] lr: 1.0000e-04 eta: 0:24:47 time: 0.8477 data_time: 0.0391 memory: 13619 grad_norm: 4.7388 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8431 loss: 0.8431 2022/08/01 20:17:51 - mmengine - INFO - Epoch(train) [98][920/940] lr: 1.0000e-04 eta: 0:24:31 time: 0.7228 data_time: 0.0557 memory: 13619 grad_norm: 4.6487 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7823 loss: 0.7823 2022/08/01 20:18:06 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 20:18:06 - mmengine - INFO - Epoch(train) [98][940/940] lr: 1.0000e-04 eta: 0:24:16 time: 0.7346 data_time: 0.0260 memory: 13619 grad_norm: 4.8861 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8853 loss: 0.8853 2022/08/01 20:18:23 - mmengine - INFO - Epoch(val) [98][20/78] eta: 0:00:49 time: 0.8592 data_time: 0.7580 memory: 2186 2022/08/01 20:18:35 - mmengine - INFO - Epoch(val) [98][40/78] eta: 0:00:23 time: 0.6189 data_time: 0.5233 memory: 2186 2022/08/01 20:18:52 - mmengine - INFO - Epoch(val) [98][60/78] eta: 0:00:14 time: 0.8184 data_time: 0.7239 memory: 2186 2022/08/01 20:19:07 - mmengine - INFO - Epoch(val) [98][78/78] acc/top1: 0.7085 acc/top5: 0.8947 acc/mean1: 0.7084 2022/08/01 20:19:28 - mmengine - INFO - Epoch(train) [99][20/940] lr: 1.0000e-04 eta: 0:24:00 time: 1.0421 data_time: 0.6042 memory: 13619 grad_norm: 4.7834 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7728 loss: 0.7728 2022/08/01 20:19:40 - mmengine - INFO - Epoch(train) [99][40/940] lr: 1.0000e-04 eta: 0:23:45 time: 0.6042 data_time: 0.1864 memory: 13619 grad_norm: 4.6979 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7847 loss: 0.7847 2022/08/01 20:19:58 - mmengine - INFO - Epoch(train) [99][60/940] lr: 1.0000e-04 eta: 0:23:29 time: 0.8631 data_time: 0.5213 memory: 13619 grad_norm: 4.7107 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8949 loss: 0.8949 2022/08/01 20:20:12 - mmengine - INFO - Epoch(train) [99][80/940] lr: 1.0000e-04 eta: 0:23:14 time: 0.6985 data_time: 0.3685 memory: 13619 grad_norm: 4.5603 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8265 loss: 0.8265 2022/08/01 20:20:29 - mmengine - INFO - Epoch(train) [99][100/940] lr: 1.0000e-04 eta: 0:22:58 time: 0.8630 data_time: 0.5669 memory: 13619 grad_norm: 4.6384 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8876 loss: 0.8876 2022/08/01 20:20:42 - mmengine - INFO - Epoch(train) [99][120/940] lr: 1.0000e-04 eta: 0:22:43 time: 0.6807 data_time: 0.3144 memory: 13619 grad_norm: 4.7646 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7930 loss: 0.7930 2022/08/01 20:20:59 - mmengine - INFO - Epoch(train) [99][140/940] lr: 1.0000e-04 eta: 0:22:27 time: 0.8164 data_time: 0.3797 memory: 13619 grad_norm: 4.6702 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7577 loss: 0.7577 2022/08/01 20:21:13 - mmengine - INFO - Epoch(train) [99][160/940] lr: 1.0000e-04 eta: 0:22:12 time: 0.6861 data_time: 0.2475 memory: 13619 grad_norm: 4.6882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9275 loss: 0.9275 2022/08/01 20:21:30 - mmengine - INFO - Epoch(train) [99][180/940] lr: 1.0000e-04 eta: 0:21:56 time: 0.8680 data_time: 0.3353 memory: 13619 grad_norm: 4.5389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8223 loss: 0.8223 2022/08/01 20:21:43 - mmengine - INFO - Epoch(train) [99][200/940] lr: 1.0000e-04 eta: 0:21:41 time: 0.6658 data_time: 0.2648 memory: 13619 grad_norm: 4.7744 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8599 loss: 0.8599 2022/08/01 20:22:01 - mmengine - INFO - Epoch(train) [99][220/940] lr: 1.0000e-04 eta: 0:21:25 time: 0.8799 data_time: 0.5749 memory: 13619 grad_norm: 4.5714 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8409 loss: 0.8409 2022/08/01 20:22:15 - mmengine - INFO - Epoch(train) [99][240/940] lr: 1.0000e-04 eta: 0:21:10 time: 0.6895 data_time: 0.3515 memory: 13619 grad_norm: 4.5792 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8128 loss: 0.8128 2022/08/01 20:22:32 - mmengine - INFO - Epoch(train) [99][260/940] lr: 1.0000e-04 eta: 0:20:54 time: 0.8666 data_time: 0.5454 memory: 13619 grad_norm: 4.6421 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8372 loss: 0.8372 2022/08/01 20:22:46 - mmengine - INFO - Epoch(train) [99][280/940] lr: 1.0000e-04 eta: 0:20:39 time: 0.6788 data_time: 0.3260 memory: 13619 grad_norm: 4.6839 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7840 loss: 0.7840 2022/08/01 20:23:02 - mmengine - INFO - Epoch(train) [99][300/940] lr: 1.0000e-04 eta: 0:20:23 time: 0.8226 data_time: 0.5077 memory: 13619 grad_norm: 4.7386 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8086 loss: 0.8086 2022/08/01 20:23:17 - mmengine - INFO - Epoch(train) [99][320/940] lr: 1.0000e-04 eta: 0:20:08 time: 0.7387 data_time: 0.3928 memory: 13619 grad_norm: 4.6435 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7931 loss: 0.7931 2022/08/01 20:23:32 - mmengine - INFO - Epoch(train) [99][340/940] lr: 1.0000e-04 eta: 0:19:52 time: 0.7679 data_time: 0.3890 memory: 13619 grad_norm: 4.6295 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7517 loss: 0.7517 2022/08/01 20:23:48 - mmengine - INFO - Epoch(train) [99][360/940] lr: 1.0000e-04 eta: 0:19:37 time: 0.7671 data_time: 0.4066 memory: 13619 grad_norm: 4.6072 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7220 loss: 0.7220 2022/08/01 20:24:05 - mmengine - INFO - Epoch(train) [99][380/940] lr: 1.0000e-04 eta: 0:19:21 time: 0.8482 data_time: 0.2311 memory: 13619 grad_norm: 4.6788 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9276 loss: 0.9276 2022/08/01 20:24:18 - mmengine - INFO - Epoch(train) [99][400/940] lr: 1.0000e-04 eta: 0:19:06 time: 0.6598 data_time: 0.1273 memory: 13619 grad_norm: 4.6468 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8993 loss: 0.8993 2022/08/01 20:24:33 - mmengine - INFO - Epoch(train) [99][420/940] lr: 1.0000e-04 eta: 0:18:50 time: 0.7536 data_time: 0.1964 memory: 13619 grad_norm: 4.7180 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9087 loss: 0.9087 2022/08/01 20:24:49 - mmengine - INFO - Epoch(train) [99][440/940] lr: 1.0000e-04 eta: 0:18:35 time: 0.8268 data_time: 0.4941 memory: 13619 grad_norm: 4.7598 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8653 loss: 0.8653 2022/08/01 20:25:04 - mmengine - INFO - Epoch(train) [99][460/940] lr: 1.0000e-04 eta: 0:18:19 time: 0.7326 data_time: 0.3930 memory: 13619 grad_norm: 4.6494 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7974 loss: 0.7974 2022/08/01 20:25:19 - mmengine - INFO - Epoch(train) [99][480/940] lr: 1.0000e-04 eta: 0:18:04 time: 0.7593 data_time: 0.4651 memory: 13619 grad_norm: 4.7399 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9159 loss: 0.9159 2022/08/01 20:25:36 - mmengine - INFO - Epoch(train) [99][500/940] lr: 1.0000e-04 eta: 0:17:48 time: 0.8435 data_time: 0.5252 memory: 13619 grad_norm: 4.7648 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.9261 loss: 0.9261 2022/08/01 20:25:49 - mmengine - INFO - Epoch(train) [99][520/940] lr: 1.0000e-04 eta: 0:17:33 time: 0.6577 data_time: 0.3629 memory: 13619 grad_norm: 4.6799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8569 loss: 0.8569 2022/08/01 20:26:04 - mmengine - INFO - Epoch(train) [99][540/940] lr: 1.0000e-04 eta: 0:17:17 time: 0.7407 data_time: 0.4252 memory: 13619 grad_norm: 4.7459 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8702 loss: 0.8702 2022/08/01 20:26:19 - mmengine - INFO - Epoch(train) [99][560/940] lr: 1.0000e-04 eta: 0:17:02 time: 0.7626 data_time: 0.4616 memory: 13619 grad_norm: 4.6917 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7875 loss: 0.7875 2022/08/01 20:26:34 - mmengine - INFO - Epoch(train) [99][580/940] lr: 1.0000e-04 eta: 0:16:46 time: 0.7490 data_time: 0.4227 memory: 13619 grad_norm: 4.7658 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8742 loss: 0.8742 2022/08/01 20:26:51 - mmengine - INFO - Epoch(train) [99][600/940] lr: 1.0000e-04 eta: 0:16:31 time: 0.8369 data_time: 0.4890 memory: 13619 grad_norm: 4.5721 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7791 loss: 0.7791 2022/08/01 20:27:04 - mmengine - INFO - Epoch(train) [99][620/940] lr: 1.0000e-04 eta: 0:16:15 time: 0.6489 data_time: 0.3522 memory: 13619 grad_norm: 4.6177 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8290 loss: 0.8290 2022/08/01 20:27:22 - mmengine - INFO - Epoch(train) [99][640/940] lr: 1.0000e-04 eta: 0:16:00 time: 0.9035 data_time: 0.5601 memory: 13619 grad_norm: 4.6663 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0205 loss: 1.0205 2022/08/01 20:27:36 - mmengine - INFO - Epoch(train) [99][660/940] lr: 1.0000e-04 eta: 0:15:44 time: 0.6738 data_time: 0.3509 memory: 13619 grad_norm: 4.6679 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6340 loss: 0.6340 2022/08/01 20:27:54 - mmengine - INFO - Epoch(train) [99][680/940] lr: 1.0000e-04 eta: 0:15:29 time: 0.8996 data_time: 0.5674 memory: 13619 grad_norm: 4.6519 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9176 loss: 0.9176 2022/08/01 20:28:08 - mmengine - INFO - Epoch(train) [99][700/940] lr: 1.0000e-04 eta: 0:15:13 time: 0.7199 data_time: 0.3856 memory: 13619 grad_norm: 4.7128 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7471 loss: 0.7471 2022/08/01 20:28:25 - mmengine - INFO - Epoch(train) [99][720/940] lr: 1.0000e-04 eta: 0:14:58 time: 0.8526 data_time: 0.5164 memory: 13619 grad_norm: 4.7919 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.7957 loss: 0.7957 2022/08/01 20:28:37 - mmengine - INFO - Epoch(train) [99][740/940] lr: 1.0000e-04 eta: 0:14:42 time: 0.5971 data_time: 0.2866 memory: 13619 grad_norm: 4.5876 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8169 loss: 0.8169 2022/08/01 20:28:54 - mmengine - INFO - Epoch(train) [99][760/940] lr: 1.0000e-04 eta: 0:14:27 time: 0.8675 data_time: 0.5281 memory: 13619 grad_norm: 4.6582 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9992 loss: 0.9992 2022/08/01 20:29:07 - mmengine - INFO - Epoch(train) [99][780/940] lr: 1.0000e-04 eta: 0:14:11 time: 0.6525 data_time: 0.3198 memory: 13619 grad_norm: 4.7612 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.8389 loss: 0.8389 2022/08/01 20:29:23 - mmengine - INFO - Epoch(train) [99][800/940] lr: 1.0000e-04 eta: 0:13:56 time: 0.7943 data_time: 0.4089 memory: 13619 grad_norm: 4.7560 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9265 loss: 0.9265 2022/08/01 20:29:38 - mmengine - INFO - Epoch(train) [99][820/940] lr: 1.0000e-04 eta: 0:13:40 time: 0.7190 data_time: 0.3401 memory: 13619 grad_norm: 4.7645 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.8841 loss: 0.8841 2022/08/01 20:29:58 - mmengine - INFO - Epoch(train) [99][840/940] lr: 1.0000e-04 eta: 0:13:25 time: 1.0294 data_time: 0.6947 memory: 13619 grad_norm: 4.7214 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8707 loss: 0.8707 2022/08/01 20:30:12 - mmengine - INFO - Epoch(train) [99][860/940] lr: 1.0000e-04 eta: 0:13:10 time: 0.6761 data_time: 0.3759 memory: 13619 grad_norm: 4.5984 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7974 loss: 0.7974 2022/08/01 20:30:29 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 20:30:29 - mmengine - INFO - Epoch(train) [99][880/940] lr: 1.0000e-04 eta: 0:12:54 time: 0.8297 data_time: 0.4972 memory: 13619 grad_norm: 4.7406 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8307 loss: 0.8307 2022/08/01 20:30:42 - mmengine - INFO - Epoch(train) [99][900/940] lr: 1.0000e-04 eta: 0:12:39 time: 0.6586 data_time: 0.3511 memory: 13619 grad_norm: 4.6585 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7820 loss: 0.7820 2022/08/01 20:30:58 - mmengine - INFO - Epoch(train) [99][920/940] lr: 1.0000e-04 eta: 0:12:23 time: 0.8284 data_time: 0.4733 memory: 13619 grad_norm: 4.6927 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.8004 loss: 0.8004 2022/08/01 20:31:10 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 20:31:10 - mmengine - INFO - Epoch(train) [99][940/940] lr: 1.0000e-04 eta: 0:12:08 time: 0.5849 data_time: 0.3099 memory: 13619 grad_norm: 5.0036 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7752 loss: 0.7752 2022/08/01 20:31:10 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/08/01 20:31:29 - mmengine - INFO - Epoch(val) [99][20/78] eta: 0:00:50 time: 0.8789 data_time: 0.7878 memory: 2186 2022/08/01 20:31:41 - mmengine - INFO - Epoch(val) [99][40/78] eta: 0:00:22 time: 0.6008 data_time: 0.5064 memory: 2186 2022/08/01 20:31:58 - mmengine - INFO - Epoch(val) [99][60/78] eta: 0:00:14 time: 0.8293 data_time: 0.7392 memory: 2186 2022/08/01 20:32:11 - mmengine - INFO - Epoch(val) [99][78/78] acc/top1: 0.7076 acc/top5: 0.8933 acc/mean1: 0.7075 2022/08/01 20:32:31 - mmengine - INFO - Epoch(train) [100][20/940] lr: 1.0000e-04 eta: 0:11:52 time: 0.9722 data_time: 0.6495 memory: 13619 grad_norm: 4.7450 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8513 loss: 0.8513 2022/08/01 20:32:44 - mmengine - INFO - Epoch(train) [100][40/940] lr: 1.0000e-04 eta: 0:11:37 time: 0.6709 data_time: 0.3815 memory: 13619 grad_norm: 4.7413 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7932 loss: 0.7932 2022/08/01 20:33:02 - mmengine - INFO - Epoch(train) [100][60/940] lr: 1.0000e-04 eta: 0:11:21 time: 0.8665 data_time: 0.4532 memory: 13619 grad_norm: 4.8320 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8055 loss: 0.8055 2022/08/01 20:33:16 - mmengine - INFO - Epoch(train) [100][80/940] lr: 1.0000e-04 eta: 0:11:06 time: 0.7251 data_time: 0.3465 memory: 13619 grad_norm: 4.7083 top1_acc: 0.7812 top5_acc: 0.7812 loss_cls: 0.8459 loss: 0.8459 2022/08/01 20:33:33 - mmengine - INFO - Epoch(train) [100][100/940] lr: 1.0000e-04 eta: 0:10:50 time: 0.8259 data_time: 0.4741 memory: 13619 grad_norm: 4.7442 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7612 loss: 0.7612 2022/08/01 20:33:46 - mmengine - INFO - Epoch(train) [100][120/940] lr: 1.0000e-04 eta: 0:10:35 time: 0.6534 data_time: 0.2219 memory: 13619 grad_norm: 4.6437 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8648 loss: 0.8648 2022/08/01 20:34:03 - mmengine - INFO - Epoch(train) [100][140/940] lr: 1.0000e-04 eta: 0:10:19 time: 0.8441 data_time: 0.2132 memory: 13619 grad_norm: 4.6296 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7546 loss: 0.7546 2022/08/01 20:34:16 - mmengine - INFO - Epoch(train) [100][160/940] lr: 1.0000e-04 eta: 0:10:04 time: 0.6948 data_time: 0.1273 memory: 13619 grad_norm: 4.6867 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8970 loss: 0.8970 2022/08/01 20:34:34 - mmengine - INFO - Epoch(train) [100][180/940] lr: 1.0000e-04 eta: 0:09:48 time: 0.8867 data_time: 0.1326 memory: 13619 grad_norm: 4.7370 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8521 loss: 0.8521 2022/08/01 20:34:48 - mmengine - INFO - Epoch(train) [100][200/940] lr: 1.0000e-04 eta: 0:09:33 time: 0.6809 data_time: 0.0392 memory: 13619 grad_norm: 4.6443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7851 loss: 0.7851 2022/08/01 20:35:05 - mmengine - INFO - Epoch(train) [100][220/940] lr: 1.0000e-04 eta: 0:09:17 time: 0.8625 data_time: 0.0514 memory: 13619 grad_norm: 4.7223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8624 loss: 0.8624 2022/08/01 20:35:18 - mmengine - INFO - Epoch(train) [100][240/940] lr: 1.0000e-04 eta: 0:09:02 time: 0.6545 data_time: 0.0467 memory: 13619 grad_norm: 4.8039 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9469 loss: 0.9469 2022/08/01 20:35:35 - mmengine - INFO - Epoch(train) [100][260/940] lr: 1.0000e-04 eta: 0:08:46 time: 0.8646 data_time: 0.0398 memory: 13619 grad_norm: 4.7496 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8300 loss: 0.8300 2022/08/01 20:35:49 - mmengine - INFO - Epoch(train) [100][280/940] lr: 1.0000e-04 eta: 0:08:31 time: 0.6770 data_time: 0.0318 memory: 13619 grad_norm: 4.6448 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7705 loss: 0.7705 2022/08/01 20:36:06 - mmengine - INFO - Epoch(train) [100][300/940] lr: 1.0000e-04 eta: 0:08:15 time: 0.8410 data_time: 0.0412 memory: 13619 grad_norm: 4.8744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9550 loss: 0.9550 2022/08/01 20:36:19 - mmengine - INFO - Epoch(train) [100][320/940] lr: 1.0000e-04 eta: 0:08:00 time: 0.6736 data_time: 0.0436 memory: 13619 grad_norm: 4.6183 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8238 loss: 0.8238 2022/08/01 20:36:36 - mmengine - INFO - Epoch(train) [100][340/940] lr: 1.0000e-04 eta: 0:07:44 time: 0.8549 data_time: 0.0675 memory: 13619 grad_norm: 4.6570 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.7306 loss: 0.7306 2022/08/01 20:36:50 - mmengine - INFO - Epoch(train) [100][360/940] lr: 1.0000e-04 eta: 0:07:29 time: 0.6915 data_time: 0.0776 memory: 13619 grad_norm: 4.7272 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8869 loss: 0.8869 2022/08/01 20:37:08 - mmengine - INFO - Epoch(train) [100][380/940] lr: 1.0000e-04 eta: 0:07:13 time: 0.8616 data_time: 0.1127 memory: 13619 grad_norm: 4.7681 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8777 loss: 0.8777 2022/08/01 20:37:22 - mmengine - INFO - Epoch(train) [100][400/940] lr: 1.0000e-04 eta: 0:06:58 time: 0.7237 data_time: 0.1477 memory: 13619 grad_norm: 4.6259 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8572 loss: 0.8572 2022/08/01 20:37:38 - mmengine - INFO - Epoch(train) [100][420/940] lr: 1.0000e-04 eta: 0:06:42 time: 0.8088 data_time: 0.1374 memory: 13619 grad_norm: 4.7408 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8624 loss: 0.8624 2022/08/01 20:37:51 - mmengine - INFO - Epoch(train) [100][440/940] lr: 1.0000e-04 eta: 0:06:27 time: 0.6267 data_time: 0.0308 memory: 13619 grad_norm: 4.6633 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9278 loss: 0.9278 2022/08/01 20:38:09 - mmengine - INFO - Epoch(train) [100][460/940] lr: 1.0000e-04 eta: 0:06:11 time: 0.9105 data_time: 0.0483 memory: 13619 grad_norm: 4.8033 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8310 loss: 0.8310 2022/08/01 20:38:21 - mmengine - INFO - Epoch(train) [100][480/940] lr: 1.0000e-04 eta: 0:05:56 time: 0.6226 data_time: 0.0320 memory: 13619 grad_norm: 4.7111 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8163 loss: 0.8163 2022/08/01 20:38:39 - mmengine - INFO - Epoch(train) [100][500/940] lr: 1.0000e-04 eta: 0:05:40 time: 0.8662 data_time: 0.0437 memory: 13619 grad_norm: 4.6625 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8054 loss: 0.8054 2022/08/01 20:38:53 - mmengine - INFO - Epoch(train) [100][520/940] lr: 1.0000e-04 eta: 0:05:25 time: 0.6962 data_time: 0.0307 memory: 13619 grad_norm: 4.6216 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7510 loss: 0.7510 2022/08/01 20:39:09 - mmengine - INFO - Epoch(train) [100][540/940] lr: 1.0000e-04 eta: 0:05:09 time: 0.7986 data_time: 0.0408 memory: 13619 grad_norm: 4.6335 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7787 loss: 0.7787 2022/08/01 20:39:22 - mmengine - INFO - Epoch(train) [100][560/940] lr: 1.0000e-04 eta: 0:04:54 time: 0.6638 data_time: 0.0334 memory: 13619 grad_norm: 4.7314 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9448 loss: 0.9448 2022/08/01 20:39:40 - mmengine - INFO - Epoch(train) [100][580/940] lr: 1.0000e-04 eta: 0:04:38 time: 0.9068 data_time: 0.0404 memory: 13619 grad_norm: 4.8004 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8465 loss: 0.8465 2022/08/01 20:39:53 - mmengine - INFO - Epoch(train) [100][600/940] lr: 1.0000e-04 eta: 0:04:23 time: 0.6564 data_time: 0.0331 memory: 13619 grad_norm: 4.6304 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8553 loss: 0.8553 2022/08/01 20:40:11 - mmengine - INFO - Epoch(train) [100][620/940] lr: 1.0000e-04 eta: 0:04:07 time: 0.8948 data_time: 0.0367 memory: 13619 grad_norm: 4.6647 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8525 loss: 0.8525 2022/08/01 20:40:24 - mmengine - INFO - Epoch(train) [100][640/940] lr: 1.0000e-04 eta: 0:03:52 time: 0.6580 data_time: 0.0348 memory: 13619 grad_norm: 4.6823 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8924 loss: 0.8924 2022/08/01 20:40:42 - mmengine - INFO - Epoch(train) [100][660/940] lr: 1.0000e-04 eta: 0:03:36 time: 0.8799 data_time: 0.0416 memory: 13619 grad_norm: 4.8068 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8039 loss: 0.8039 2022/08/01 20:40:55 - mmengine - INFO - Epoch(train) [100][680/940] lr: 1.0000e-04 eta: 0:03:21 time: 0.6596 data_time: 0.0309 memory: 13619 grad_norm: 4.7641 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8314 loss: 0.8314 2022/08/01 20:41:12 - mmengine - INFO - Epoch(train) [100][700/940] lr: 1.0000e-04 eta: 0:03:05 time: 0.8449 data_time: 0.0408 memory: 13619 grad_norm: 4.8003 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9278 loss: 0.9278 2022/08/01 20:41:26 - mmengine - INFO - Epoch(train) [100][720/940] lr: 1.0000e-04 eta: 0:02:50 time: 0.6900 data_time: 0.0347 memory: 13619 grad_norm: 4.7630 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9286 loss: 0.9286 2022/08/01 20:41:42 - mmengine - INFO - Epoch(train) [100][740/940] lr: 1.0000e-04 eta: 0:02:34 time: 0.8198 data_time: 0.0398 memory: 13619 grad_norm: 4.6618 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8097 loss: 0.8097 2022/08/01 20:41:56 - mmengine - INFO - Epoch(train) [100][760/940] lr: 1.0000e-04 eta: 0:02:19 time: 0.6814 data_time: 0.0402 memory: 13619 grad_norm: 4.8079 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9490 loss: 0.9490 2022/08/01 20:42:13 - mmengine - INFO - Epoch(train) [100][780/940] lr: 1.0000e-04 eta: 0:02:03 time: 0.8641 data_time: 0.0380 memory: 13619 grad_norm: 4.5547 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8018 loss: 0.8018 2022/08/01 20:42:27 - mmengine - INFO - Epoch(train) [100][800/940] lr: 1.0000e-04 eta: 0:01:48 time: 0.6783 data_time: 0.0590 memory: 13619 grad_norm: 4.6713 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8142 loss: 0.8142 2022/08/01 20:42:45 - mmengine - INFO - Epoch(train) [100][820/940] lr: 1.0000e-04 eta: 0:01:32 time: 0.9013 data_time: 0.0375 memory: 13619 grad_norm: 4.7867 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8796 loss: 0.8796 2022/08/01 20:42:58 - mmengine - INFO - Epoch(train) [100][840/940] lr: 1.0000e-04 eta: 0:01:17 time: 0.6829 data_time: 0.0362 memory: 13619 grad_norm: 4.6736 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8297 loss: 0.8297 2022/08/01 20:43:15 - mmengine - INFO - Epoch(train) [100][860/940] lr: 1.0000e-04 eta: 0:01:01 time: 0.8394 data_time: 0.0427 memory: 13619 grad_norm: 4.7596 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.8341 loss: 0.8341 2022/08/01 20:43:29 - mmengine - INFO - Epoch(train) [100][880/940] lr: 1.0000e-04 eta: 0:00:46 time: 0.7073 data_time: 0.0383 memory: 13619 grad_norm: 4.6600 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.8812 loss: 0.8812 2022/08/01 20:43:47 - mmengine - INFO - Epoch(train) [100][900/940] lr: 1.0000e-04 eta: 0:00:30 time: 0.8674 data_time: 0.0382 memory: 13619 grad_norm: 4.6488 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8174 loss: 0.8174 2022/08/01 20:44:01 - mmengine - INFO - Epoch(train) [100][920/940] lr: 1.0000e-04 eta: 0:00:15 time: 0.6923 data_time: 0.0371 memory: 13619 grad_norm: 4.5648 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8129 loss: 0.8129 2022/08/01 20:44:15 - mmengine - INFO - Exp name: tsn_r50_1x1x5_100e_kinetics400_rgb_20220731_224631 2022/08/01 20:44:15 - mmengine - INFO - Epoch(train) [100][940/940] lr: 1.0000e-04 eta: 0:00:00 time: 0.7048 data_time: 0.0253 memory: 13619 grad_norm: 5.0536 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8722 loss: 0.8722 2022/08/01 20:44:15 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/01 20:44:35 - mmengine - INFO - Epoch(val) [100][20/78] eta: 0:00:50 time: 0.8723 data_time: 0.7768 memory: 2186 2022/08/01 20:44:47 - mmengine - INFO - Epoch(val) [100][40/78] eta: 0:00:22 time: 0.6017 data_time: 0.5098 memory: 2186 2022/08/01 20:45:03 - mmengine - INFO - Epoch(val) [100][60/78] eta: 0:00:14 time: 0.8175 data_time: 0.7273 memory: 2186 2022/08/01 20:45:15 - mmengine - INFO - Epoch(val) [100][78/78] acc/top1: 0.7071 acc/top5: 0.8940 acc/mean1: 0.7070