2022/07/31 17:14:31 - mmengine - INFO - These parameters in pretrained checkpoint are not loaded: {'fc.weight', 'fc.bias'} 2022/07/31 17:14:31 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb by HardDiskBackend. 2022/07/31 17:18:10 - mmengine - INFO - Epoch(train) [1][20/940] lr: 1.0000e-02 eta: 11 days, 22:40:25 time: 10.9813 data_time: 5.7639 memory: 10806 grad_norm: 0.9319 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9858 loss: 5.9858 2022/07/31 17:18:25 - mmengine - INFO - Epoch(train) [1][40/940] lr: 1.0000e-02 eta: 6 days, 8:33:27 time: 0.7089 data_time: 0.0375 memory: 8321 grad_norm: 1.0069 top1_acc: 0.0312 top5_acc: 0.0625 loss_cls: 5.9047 loss: 5.9047 2022/07/31 17:18:36 - mmengine - INFO - Epoch(train) [1][60/940] lr: 1.0000e-02 eta: 4 days, 10:28:50 time: 0.5515 data_time: 0.0386 memory: 8321 grad_norm: 1.2496 top1_acc: 0.0000 top5_acc: 0.0312 loss_cls: 5.7855 loss: 5.7855 2022/07/31 17:18:51 - mmengine - INFO - Epoch(train) [1][80/940] lr: 1.0000e-02 eta: 3 days, 12:53:13 time: 0.7733 data_time: 0.0378 memory: 8321 grad_norm: 1.4810 top1_acc: 0.0938 top5_acc: 0.1875 loss_cls: 5.6299 loss: 5.6299 2022/07/31 17:19:03 - mmengine - INFO - Epoch(train) [1][100/940] lr: 1.0000e-02 eta: 2 days, 23:06:49 time: 0.6170 data_time: 0.0347 memory: 8321 grad_norm: 1.7386 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 5.3196 loss: 5.3196 2022/07/31 17:19:17 - mmengine - INFO - Epoch(train) [1][120/940] lr: 1.0000e-02 eta: 2 days, 14:06:40 time: 0.6586 data_time: 0.0370 memory: 8321 grad_norm: 1.9834 top1_acc: 0.0312 top5_acc: 0.2812 loss_cls: 4.9798 loss: 4.9798 2022/07/31 17:19:28 - mmengine - INFO - Epoch(train) [1][140/940] lr: 1.0000e-02 eta: 2 days, 7:18:54 time: 0.5607 data_time: 0.0381 memory: 8321 grad_norm: 2.2043 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.6321 loss: 4.6321 2022/07/31 17:19:42 - mmengine - INFO - Epoch(train) [1][160/940] lr: 1.0000e-02 eta: 2 days, 2:43:57 time: 0.7188 data_time: 0.0362 memory: 8321 grad_norm: 2.3618 top1_acc: 0.1562 top5_acc: 0.3438 loss_cls: 4.3918 loss: 4.3918 2022/07/31 17:19:52 - mmengine - INFO - Epoch(train) [1][180/940] lr: 1.0000e-02 eta: 1 day, 22:34:32 time: 0.5144 data_time: 0.0390 memory: 8321 grad_norm: 2.4725 top1_acc: 0.3438 top5_acc: 0.5000 loss_cls: 3.9077 loss: 3.9077 2022/07/31 17:20:08 - mmengine - INFO - Epoch(train) [1][200/940] lr: 1.0000e-02 eta: 1 day, 19:55:31 time: 0.7738 data_time: 0.0338 memory: 8321 grad_norm: 2.5712 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.9472 loss: 3.9472 2022/07/31 17:20:20 - mmengine - INFO - Epoch(train) [1][220/940] lr: 1.0000e-02 eta: 1 day, 17:19:34 time: 0.5922 data_time: 0.0350 memory: 8321 grad_norm: 2.6642 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.8640 loss: 3.8640 2022/07/31 17:20:34 - mmengine - INFO - Epoch(train) [1][240/940] lr: 1.0000e-02 eta: 1 day, 15:22:55 time: 0.6948 data_time: 0.0340 memory: 8321 grad_norm: 2.7015 top1_acc: 0.2188 top5_acc: 0.5312 loss_cls: 3.7178 loss: 3.7178 2022/07/31 17:20:46 - mmengine - INFO - Epoch(train) [1][260/940] lr: 1.0000e-02 eta: 1 day, 13:33:01 time: 0.6018 data_time: 0.0362 memory: 8321 grad_norm: 2.7331 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 3.5788 loss: 3.5788 2022/07/31 17:21:00 - mmengine - INFO - Epoch(train) [1][280/940] lr: 1.0000e-02 eta: 1 day, 12:09:41 time: 0.6995 data_time: 0.0403 memory: 8321 grad_norm: 2.7894 top1_acc: 0.2500 top5_acc: 0.4688 loss_cls: 3.4955 loss: 3.4955 2022/07/31 17:21:11 - mmengine - INFO - Epoch(train) [1][300/940] lr: 1.0000e-02 eta: 1 day, 10:44:04 time: 0.5711 data_time: 0.0385 memory: 8321 grad_norm: 2.8089 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.3964 loss: 3.3964 2022/07/31 17:21:26 - mmengine - INFO - Epoch(train) [1][320/940] lr: 1.0000e-02 eta: 1 day, 9:44:52 time: 0.7324 data_time: 0.0309 memory: 8321 grad_norm: 2.8904 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.3604 loss: 3.3604 2022/07/31 17:21:38 - mmengine - INFO - Epoch(train) [1][340/940] lr: 1.0000e-02 eta: 1 day, 8:42:38 time: 0.6239 data_time: 0.0373 memory: 8321 grad_norm: 2.8731 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 3.3664 loss: 3.3664 2022/07/31 17:21:52 - mmengine - INFO - Epoch(train) [1][360/940] lr: 1.0000e-02 eta: 1 day, 7:52:24 time: 0.6828 data_time: 0.0393 memory: 8321 grad_norm: 2.9117 top1_acc: 0.3438 top5_acc: 0.4375 loss_cls: 3.3075 loss: 3.3075 2022/07/31 17:22:03 - mmengine - INFO - Epoch(train) [1][380/940] lr: 1.0000e-02 eta: 1 day, 6:56:09 time: 0.5454 data_time: 0.0413 memory: 8321 grad_norm: 2.9468 top1_acc: 0.1562 top5_acc: 0.3125 loss_cls: 3.2161 loss: 3.2161 2022/07/31 17:22:17 - mmengine - INFO - Epoch(train) [1][400/940] lr: 1.0000e-02 eta: 1 day, 6:20:16 time: 0.7346 data_time: 0.0301 memory: 8321 grad_norm: 2.9611 top1_acc: 0.2812 top5_acc: 0.5625 loss_cls: 3.2779 loss: 3.2779 2022/07/31 17:22:29 - mmengine - INFO - Epoch(train) [1][420/940] lr: 1.0000e-02 eta: 1 day, 5:35:05 time: 0.5637 data_time: 0.0375 memory: 8321 grad_norm: 2.9484 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 3.1110 loss: 3.1110 2022/07/31 17:22:44 - mmengine - INFO - Epoch(train) [1][440/940] lr: 1.0000e-02 eta: 1 day, 5:08:48 time: 0.7726 data_time: 0.0281 memory: 8321 grad_norm: 2.9847 top1_acc: 0.3125 top5_acc: 0.5312 loss_cls: 3.1240 loss: 3.1240 2022/07/31 17:22:54 - mmengine - INFO - Epoch(train) [1][460/940] lr: 1.0000e-02 eta: 1 day, 4:26:55 time: 0.5090 data_time: 0.0363 memory: 8321 grad_norm: 3.0030 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 3.1700 loss: 3.1700 2022/07/31 17:23:09 - mmengine - INFO - Epoch(train) [1][480/940] lr: 1.0000e-02 eta: 1 day, 4:01:25 time: 0.7080 data_time: 0.0281 memory: 8321 grad_norm: 2.9889 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9714 loss: 2.9714 2022/07/31 17:23:19 - mmengine - INFO - Epoch(train) [1][500/940] lr: 1.0000e-02 eta: 1 day, 3:27:03 time: 0.5333 data_time: 0.0371 memory: 8321 grad_norm: 3.0539 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 3.0926 loss: 3.0926 2022/07/31 17:23:34 - mmengine - INFO - Epoch(train) [1][520/940] lr: 1.0000e-02 eta: 1 day, 3:07:19 time: 0.7335 data_time: 0.0270 memory: 8321 grad_norm: 3.0537 top1_acc: 0.2188 top5_acc: 0.5938 loss_cls: 3.0256 loss: 3.0256 2022/07/31 17:23:46 - mmengine - INFO - Epoch(train) [1][540/940] lr: 1.0000e-02 eta: 1 day, 2:41:37 time: 0.6049 data_time: 0.0344 memory: 8321 grad_norm: 3.0690 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8801 loss: 2.8801 2022/07/31 17:23:59 - mmengine - INFO - Epoch(train) [1][560/940] lr: 1.0000e-02 eta: 1 day, 2:19:58 time: 0.6451 data_time: 0.0365 memory: 8321 grad_norm: 3.0997 top1_acc: 0.2812 top5_acc: 0.5938 loss_cls: 2.9179 loss: 2.9179 2022/07/31 17:24:10 - mmengine - INFO - Epoch(train) [1][580/940] lr: 1.0000e-02 eta: 1 day, 1:56:19 time: 0.5806 data_time: 0.0368 memory: 8321 grad_norm: 3.0933 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.9958 loss: 2.9958 2022/07/31 17:24:26 - mmengine - INFO - Epoch(train) [1][600/940] lr: 1.0000e-02 eta: 1 day, 1:45:31 time: 0.7976 data_time: 0.0385 memory: 8321 grad_norm: 3.1314 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9457 loss: 2.9457 2022/07/31 17:24:38 - mmengine - INFO - Epoch(train) [1][620/940] lr: 1.0000e-02 eta: 1 day, 1:23:55 time: 0.5693 data_time: 0.0417 memory: 8321 grad_norm: 3.1139 top1_acc: 0.2188 top5_acc: 0.6562 loss_cls: 2.8929 loss: 2.8929 2022/07/31 17:24:52 - mmengine - INFO - Epoch(train) [1][640/940] lr: 1.0000e-02 eta: 1 day, 1:10:18 time: 0.7059 data_time: 0.0374 memory: 8321 grad_norm: 3.1303 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.8634 loss: 2.8634 2022/07/31 17:25:05 - mmengine - INFO - Epoch(train) [1][660/940] lr: 1.0000e-02 eta: 1 day, 0:54:06 time: 0.6338 data_time: 0.0322 memory: 8321 grad_norm: 3.1591 top1_acc: 0.2812 top5_acc: 0.4375 loss_cls: 2.9054 loss: 2.9054 2022/07/31 17:25:17 - mmengine - INFO - Epoch(train) [1][680/940] lr: 1.0000e-02 eta: 1 day, 0:38:44 time: 0.6314 data_time: 0.0344 memory: 8321 grad_norm: 3.1584 top1_acc: 0.2812 top5_acc: 0.4688 loss_cls: 2.6896 loss: 2.6896 2022/07/31 17:25:30 - mmengine - INFO - Epoch(train) [1][700/940] lr: 1.0000e-02 eta: 1 day, 0:23:31 time: 0.6157 data_time: 0.0455 memory: 8321 grad_norm: 3.1481 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.7876 loss: 2.7876 2022/07/31 17:25:44 - mmengine - INFO - Epoch(train) [1][720/940] lr: 1.0000e-02 eta: 1 day, 0:14:43 time: 0.7444 data_time: 0.0448 memory: 8321 grad_norm: 3.1351 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.8338 loss: 2.8338 2022/07/31 17:25:55 - mmengine - INFO - Epoch(train) [1][740/940] lr: 1.0000e-02 eta: 23:56:23 time: 0.5066 data_time: 0.0357 memory: 8321 grad_norm: 3.1915 top1_acc: 0.2188 top5_acc: 0.6250 loss_cls: 2.9437 loss: 2.9437 2022/07/31 17:26:10 - mmengine - INFO - Epoch(train) [1][760/940] lr: 1.0000e-02 eta: 23:49:08 time: 0.7547 data_time: 0.0451 memory: 8321 grad_norm: 3.1980 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6838 loss: 2.6838 2022/07/31 17:26:21 - mmengine - INFO - Epoch(train) [1][780/940] lr: 1.0000e-02 eta: 23:33:51 time: 0.5434 data_time: 0.0362 memory: 8321 grad_norm: 3.2387 top1_acc: 0.2812 top5_acc: 0.6562 loss_cls: 2.7790 loss: 2.7790 2022/07/31 17:26:35 - mmengine - INFO - Epoch(train) [1][800/940] lr: 1.0000e-02 eta: 23:26:22 time: 0.7252 data_time: 0.0375 memory: 8321 grad_norm: 3.2068 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 2.8334 loss: 2.8334 2022/07/31 17:26:47 - mmengine - INFO - Epoch(train) [1][820/940] lr: 1.0000e-02 eta: 23:14:28 time: 0.5991 data_time: 0.0480 memory: 8321 grad_norm: 3.2040 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8055 loss: 2.8055 2022/07/31 17:27:00 - mmengine - INFO - Epoch(train) [1][840/940] lr: 1.0000e-02 eta: 23:04:20 time: 0.6319 data_time: 0.0369 memory: 8321 grad_norm: 3.2099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7996 loss: 2.7996 2022/07/31 17:27:11 - mmengine - INFO - Epoch(train) [1][860/940] lr: 1.0000e-02 eta: 22:52:39 time: 0.5763 data_time: 0.0387 memory: 8321 grad_norm: 3.2667 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.6902 loss: 2.6902 2022/07/31 17:27:26 - mmengine - INFO - Epoch(train) [1][880/940] lr: 1.0000e-02 eta: 22:47:17 time: 0.7404 data_time: 0.0384 memory: 8321 grad_norm: 3.2022 top1_acc: 0.3438 top5_acc: 0.7812 loss_cls: 2.7556 loss: 2.7556 2022/07/31 17:27:39 - mmengine - INFO - Epoch(train) [1][900/940] lr: 1.0000e-02 eta: 22:38:17 time: 0.6289 data_time: 0.0438 memory: 8321 grad_norm: 3.2355 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.6270 loss: 2.6270 2022/07/31 17:27:52 - mmengine - INFO - Epoch(train) [1][920/940] lr: 1.0000e-02 eta: 22:31:10 time: 0.6726 data_time: 0.0736 memory: 8321 grad_norm: 3.2997 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.6264 loss: 2.6264 2022/07/31 17:28:06 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 17:28:06 - mmengine - INFO - Epoch(train) [1][940/940] lr: 1.0000e-02 eta: 22:25:29 time: 0.7077 data_time: 0.1145 memory: 8321 grad_norm: 3.4222 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.6424 loss: 2.6424 2022/07/31 17:31:38 - mmengine - INFO - Epoch(val) [1][20/78] eta: 0:10:12 time: 10.5651 data_time: 10.4675 memory: 1462 2022/07/31 17:31:48 - mmengine - INFO - Epoch(val) [1][40/78] eta: 0:00:19 time: 0.5118 data_time: 0.4642 memory: 1462 2022/07/31 17:31:55 - mmengine - INFO - Epoch(val) [1][60/78] eta: 0:00:06 time: 0.3635 data_time: 0.3004 memory: 1462 2022/07/31 17:33:57 - mmengine - INFO - Epoch(val) [1][78/78] acc/top1: 0.4237 acc/top5: 0.7018 acc/mean1: 0.4232 2022/07/31 17:34:00 - mmengine - INFO - The best checkpoint with 0.4237 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/07/31 17:34:16 - mmengine - INFO - Epoch(train) [2][20/940] lr: 1.0000e-02 eta: 22:22:53 time: 0.7960 data_time: 0.5656 memory: 8322 grad_norm: 3.2401 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.5796 loss: 2.5796 2022/07/31 17:34:27 - mmengine - INFO - Epoch(train) [2][40/940] lr: 1.0000e-02 eta: 22:13:05 time: 0.5651 data_time: 0.3594 memory: 8322 grad_norm: 3.2636 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.6853 loss: 2.6853 2022/07/31 17:34:41 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 17:34:41 - mmengine - INFO - Epoch(train) [2][60/940] lr: 1.0000e-02 eta: 22:08:43 time: 0.7287 data_time: 0.1966 memory: 8322 grad_norm: 3.2577 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 2.5282 loss: 2.5282 2022/07/31 17:34:53 - mmengine - INFO - Epoch(train) [2][80/940] lr: 1.0000e-02 eta: 21:59:51 time: 0.5748 data_time: 0.1119 memory: 8322 grad_norm: 3.2310 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.6832 loss: 2.6832 2022/07/31 17:35:08 - mmengine - INFO - Epoch(train) [2][100/940] lr: 1.0000e-02 eta: 21:56:24 time: 0.7450 data_time: 0.2815 memory: 8322 grad_norm: 3.2685 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5711 loss: 2.5711 2022/07/31 17:35:19 - mmengine - INFO - Epoch(train) [2][120/940] lr: 1.0000e-02 eta: 21:47:00 time: 0.5381 data_time: 0.1290 memory: 8322 grad_norm: 3.2606 top1_acc: 0.3125 top5_acc: 0.7188 loss_cls: 2.7031 loss: 2.7031 2022/07/31 17:35:32 - mmengine - INFO - Epoch(train) [2][140/940] lr: 1.0000e-02 eta: 21:42:06 time: 0.6827 data_time: 0.0380 memory: 8322 grad_norm: 3.2943 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 2.7237 loss: 2.7237 2022/07/31 17:35:43 - mmengine - INFO - Epoch(train) [2][160/940] lr: 1.0000e-02 eta: 21:33:49 time: 0.5563 data_time: 0.0416 memory: 8322 grad_norm: 3.3146 top1_acc: 0.4062 top5_acc: 0.5625 loss_cls: 2.5860 loss: 2.5860 2022/07/31 17:35:59 - mmengine - INFO - Epoch(train) [2][180/940] lr: 1.0000e-02 eta: 21:31:46 time: 0.7717 data_time: 0.1488 memory: 8322 grad_norm: 3.3325 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.4737 loss: 2.4737 2022/07/31 17:36:10 - mmengine - INFO - Epoch(train) [2][200/940] lr: 1.0000e-02 eta: 21:24:08 time: 0.5636 data_time: 0.1361 memory: 8322 grad_norm: 3.2935 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.6144 loss: 2.6144 2022/07/31 17:36:25 - mmengine - INFO - Epoch(train) [2][220/940] lr: 1.0000e-02 eta: 21:20:49 time: 0.7155 data_time: 0.1944 memory: 8322 grad_norm: 3.3169 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.5251 loss: 2.5251 2022/07/31 17:36:42 - mmengine - INFO - Epoch(train) [2][240/940] lr: 1.0000e-02 eta: 21:21:26 time: 0.8621 data_time: 0.3527 memory: 8322 grad_norm: 3.3265 top1_acc: 0.3438 top5_acc: 0.5312 loss_cls: 2.4867 loss: 2.4867 2022/07/31 17:37:09 - mmengine - INFO - Epoch(train) [2][260/940] lr: 1.0000e-02 eta: 21:34:18 time: 1.3383 data_time: 0.4086 memory: 8322 grad_norm: 3.3462 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.5465 loss: 2.5465 2022/07/31 17:37:30 - mmengine - INFO - Epoch(train) [2][280/940] lr: 1.0000e-02 eta: 21:40:30 time: 1.0923 data_time: 0.0229 memory: 8322 grad_norm: 3.3410 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5591 loss: 2.5591 2022/07/31 17:37:45 - mmengine - INFO - Epoch(train) [2][300/940] lr: 1.0000e-02 eta: 21:37:53 time: 0.7474 data_time: 0.0337 memory: 8322 grad_norm: 3.3439 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6730 loss: 2.6730 2022/07/31 17:38:09 - mmengine - INFO - Epoch(train) [2][320/940] lr: 1.0000e-02 eta: 21:46:37 time: 1.2070 data_time: 0.0345 memory: 8322 grad_norm: 3.3446 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4881 loss: 2.4881 2022/07/31 17:38:42 - mmengine - INFO - Epoch(train) [2][340/940] lr: 1.0000e-02 eta: 22:05:51 time: 1.6534 data_time: 0.0308 memory: 8322 grad_norm: 3.3059 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.6037 loss: 2.6037 2022/07/31 17:39:02 - mmengine - INFO - Epoch(train) [2][360/940] lr: 1.0000e-02 eta: 22:08:13 time: 0.9697 data_time: 0.1023 memory: 8322 grad_norm: 3.3255 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.4816 loss: 2.4816 2022/07/31 17:39:15 - mmengine - INFO - Epoch(train) [2][380/940] lr: 1.0000e-02 eta: 22:03:14 time: 0.6587 data_time: 0.0420 memory: 8322 grad_norm: 3.3685 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4269 loss: 2.4269 2022/07/31 17:39:27 - mmengine - INFO - Epoch(train) [2][400/940] lr: 1.0000e-02 eta: 21:56:56 time: 0.5960 data_time: 0.0422 memory: 8322 grad_norm: 3.3083 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.4604 loss: 2.4604 2022/07/31 17:39:40 - mmengine - INFO - Epoch(train) [2][420/940] lr: 1.0000e-02 eta: 21:51:59 time: 0.6473 data_time: 0.0355 memory: 8322 grad_norm: 3.3787 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.4264 loss: 2.4264 2022/07/31 17:40:06 - mmengine - INFO - Epoch(train) [2][440/940] lr: 1.0000e-02 eta: 22:01:23 time: 1.2825 data_time: 0.0280 memory: 8322 grad_norm: 3.3340 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6182 loss: 2.6182 2022/07/31 17:40:34 - mmengine - INFO - Epoch(train) [2][460/940] lr: 1.0000e-02 eta: 22:13:11 time: 1.4043 data_time: 0.0233 memory: 8322 grad_norm: 3.3507 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.4201 loss: 2.4201 2022/07/31 17:41:03 - mmengine - INFO - Epoch(train) [2][480/940] lr: 1.0000e-02 eta: 22:25:38 time: 1.4498 data_time: 0.0390 memory: 8322 grad_norm: 3.3023 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.4976 loss: 2.4976 2022/07/31 17:41:22 - mmengine - INFO - Epoch(train) [2][500/940] lr: 1.0000e-02 eta: 22:27:00 time: 0.9495 data_time: 0.3328 memory: 8322 grad_norm: 3.3882 top1_acc: 0.3438 top5_acc: 0.5625 loss_cls: 2.6531 loss: 2.6531 2022/07/31 17:41:33 - mmengine - INFO - Epoch(train) [2][520/940] lr: 1.0000e-02 eta: 22:20:06 time: 0.5601 data_time: 0.0465 memory: 8322 grad_norm: 3.3997 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5532 loss: 2.5532 2022/07/31 17:41:46 - mmengine - INFO - Epoch(train) [2][540/940] lr: 1.0000e-02 eta: 22:15:05 time: 0.6425 data_time: 0.0508 memory: 8322 grad_norm: 3.3670 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.3634 loss: 2.3634 2022/07/31 17:41:57 - mmengine - INFO - Epoch(train) [2][560/940] lr: 1.0000e-02 eta: 22:08:40 time: 0.5672 data_time: 0.1139 memory: 8322 grad_norm: 3.3236 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.2836 loss: 2.2836 2022/07/31 17:42:12 - mmengine - INFO - Epoch(train) [2][580/940] lr: 1.0000e-02 eta: 22:05:37 time: 0.7258 data_time: 0.0365 memory: 8322 grad_norm: 3.3820 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.4167 loss: 2.4167 2022/07/31 17:42:23 - mmengine - INFO - Epoch(train) [2][600/940] lr: 1.0000e-02 eta: 21:59:57 time: 0.5908 data_time: 0.0424 memory: 8322 grad_norm: 3.3895 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.4408 loss: 2.4408 2022/07/31 17:42:36 - mmengine - INFO - Epoch(train) [2][620/940] lr: 1.0000e-02 eta: 21:55:06 time: 0.6256 data_time: 0.0433 memory: 8322 grad_norm: 3.4295 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4574 loss: 2.4574 2022/07/31 17:42:50 - mmengine - INFO - Epoch(train) [2][640/940] lr: 1.0000e-02 eta: 21:52:16 time: 0.7232 data_time: 0.1393 memory: 8322 grad_norm: 3.4389 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.3984 loss: 2.3984 2022/07/31 17:43:05 - mmengine - INFO - Epoch(train) [2][660/940] lr: 1.0000e-02 eta: 21:49:53 time: 0.7431 data_time: 0.0957 memory: 8322 grad_norm: 3.3901 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.3740 loss: 2.3740 2022/07/31 17:43:21 - mmengine - INFO - Epoch(train) [2][680/940] lr: 1.0000e-02 eta: 21:48:12 time: 0.7767 data_time: 0.0305 memory: 8322 grad_norm: 3.3942 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.4103 loss: 2.4103 2022/07/31 17:43:33 - mmengine - INFO - Epoch(train) [2][700/940] lr: 1.0000e-02 eta: 21:43:21 time: 0.6068 data_time: 0.0342 memory: 8322 grad_norm: 3.4390 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.4373 loss: 2.4373 2022/07/31 17:43:47 - mmengine - INFO - Epoch(train) [2][720/940] lr: 1.0000e-02 eta: 21:40:30 time: 0.7081 data_time: 0.0354 memory: 8322 grad_norm: 3.4322 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.4525 loss: 2.4525 2022/07/31 17:43:58 - mmengine - INFO - Epoch(train) [2][740/940] lr: 1.0000e-02 eta: 21:35:11 time: 0.5695 data_time: 0.0397 memory: 8322 grad_norm: 3.3941 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4632 loss: 2.4632 2022/07/31 17:44:11 - mmengine - INFO - Epoch(train) [2][760/940] lr: 1.0000e-02 eta: 21:31:08 time: 0.6341 data_time: 0.0369 memory: 8322 grad_norm: 3.4154 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.4072 loss: 2.4072 2022/07/31 17:44:24 - mmengine - INFO - Epoch(train) [2][780/940] lr: 1.0000e-02 eta: 21:27:19 time: 0.6413 data_time: 0.0415 memory: 8322 grad_norm: 3.4171 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.3508 loss: 2.3508 2022/07/31 17:44:38 - mmengine - INFO - Epoch(train) [2][800/940] lr: 1.0000e-02 eta: 21:24:16 time: 0.6805 data_time: 0.0394 memory: 8322 grad_norm: 3.3703 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.4917 loss: 2.4917 2022/07/31 17:44:50 - mmengine - INFO - Epoch(train) [2][820/940] lr: 1.0000e-02 eta: 21:20:17 time: 0.6225 data_time: 0.0388 memory: 8322 grad_norm: 3.3757 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.3925 loss: 2.3925 2022/07/31 17:45:04 - mmengine - INFO - Epoch(train) [2][840/940] lr: 1.0000e-02 eta: 21:17:28 time: 0.6867 data_time: 0.0342 memory: 8322 grad_norm: 3.4404 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.2719 loss: 2.2719 2022/07/31 17:45:18 - mmengine - INFO - Epoch(train) [2][860/940] lr: 1.0000e-02 eta: 21:14:50 time: 0.6925 data_time: 0.0365 memory: 8322 grad_norm: 3.4093 top1_acc: 0.3125 top5_acc: 0.5312 loss_cls: 2.3361 loss: 2.3361 2022/07/31 17:45:30 - mmengine - INFO - Epoch(train) [2][880/940] lr: 1.0000e-02 eta: 21:10:54 time: 0.6127 data_time: 0.0397 memory: 8322 grad_norm: 3.4135 top1_acc: 0.4375 top5_acc: 0.5938 loss_cls: 2.4659 loss: 2.4659 2022/07/31 17:45:42 - mmengine - INFO - Epoch(train) [2][900/940] lr: 1.0000e-02 eta: 21:06:45 time: 0.5956 data_time: 0.0348 memory: 8322 grad_norm: 3.3842 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3216 loss: 2.3216 2022/07/31 17:45:57 - mmengine - INFO - Epoch(train) [2][920/940] lr: 1.0000e-02 eta: 21:05:49 time: 0.7851 data_time: 0.0319 memory: 8322 grad_norm: 3.4052 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.3731 loss: 2.3731 2022/07/31 17:46:05 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 17:46:05 - mmengine - INFO - Epoch(train) [2][940/940] lr: 1.0000e-02 eta: 20:58:33 time: 0.3965 data_time: 0.0234 memory: 8322 grad_norm: 3.5762 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 2.3724 loss: 2.3724 2022/07/31 17:46:19 - mmengine - INFO - Epoch(val) [2][20/78] eta: 0:00:39 time: 0.6772 data_time: 0.6086 memory: 1463 2022/07/31 17:46:28 - mmengine - INFO - Epoch(val) [2][40/78] eta: 0:00:17 time: 0.4488 data_time: 0.3883 memory: 1463 2022/07/31 17:46:41 - mmengine - INFO - Epoch(val) [2][60/78] eta: 0:00:11 time: 0.6420 data_time: 0.5807 memory: 1463 2022/07/31 17:46:51 - mmengine - INFO - Epoch(val) [2][78/78] acc/top1: 0.5324 acc/top5: 0.7909 acc/mean1: 0.5322 2022/07/31 17:46:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/07/31 17:46:52 - mmengine - INFO - The best checkpoint with 0.5324 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/07/31 17:47:09 - mmengine - INFO - Epoch(train) [3][20/940] lr: 1.0000e-02 eta: 20:58:50 time: 0.8535 data_time: 0.6553 memory: 8322 grad_norm: 3.3769 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.3118 loss: 2.3118 2022/07/31 17:47:21 - mmengine - INFO - Epoch(train) [3][40/940] lr: 1.0000e-02 eta: 20:54:56 time: 0.5933 data_time: 0.3650 memory: 8322 grad_norm: 3.3900 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.3535 loss: 2.3535 2022/07/31 17:47:34 - mmengine - INFO - Epoch(train) [3][60/940] lr: 1.0000e-02 eta: 20:52:09 time: 0.6595 data_time: 0.3402 memory: 8322 grad_norm: 3.3916 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.4016 loss: 2.4016 2022/07/31 17:47:49 - mmengine - INFO - Epoch(train) [3][80/940] lr: 1.0000e-02 eta: 20:50:29 time: 0.7270 data_time: 0.5096 memory: 8322 grad_norm: 3.3962 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.3897 loss: 2.3897 2022/07/31 17:48:01 - mmengine - INFO - Epoch(train) [3][100/940] lr: 1.0000e-02 eta: 20:46:41 time: 0.5875 data_time: 0.3237 memory: 8322 grad_norm: 3.4311 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.4191 loss: 2.4191 2022/07/31 17:48:17 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 17:48:17 - mmengine - INFO - Epoch(train) [3][120/940] lr: 1.0000e-02 eta: 20:46:45 time: 0.8342 data_time: 0.5766 memory: 8322 grad_norm: 3.3774 top1_acc: 0.3438 top5_acc: 0.6875 loss_cls: 2.2979 loss: 2.2979 2022/07/31 17:48:27 - mmengine - INFO - Epoch(train) [3][140/940] lr: 1.0000e-02 eta: 20:41:33 time: 0.4885 data_time: 0.2707 memory: 8322 grad_norm: 3.3969 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.4018 loss: 2.4018 2022/07/31 17:48:40 - mmengine - INFO - Epoch(train) [3][160/940] lr: 1.0000e-02 eta: 20:39:05 time: 0.6637 data_time: 0.3930 memory: 8322 grad_norm: 3.4258 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.3693 loss: 2.3693 2022/07/31 17:48:52 - mmengine - INFO - Epoch(train) [3][180/940] lr: 1.0000e-02 eta: 20:35:03 time: 0.5559 data_time: 0.3147 memory: 8322 grad_norm: 3.3804 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.3655 loss: 2.3655 2022/07/31 17:49:06 - mmengine - INFO - Epoch(train) [3][200/940] lr: 1.0000e-02 eta: 20:33:35 time: 0.7246 data_time: 0.3991 memory: 8322 grad_norm: 3.4191 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.2486 loss: 2.2486 2022/07/31 17:49:18 - mmengine - INFO - Epoch(train) [3][220/940] lr: 1.0000e-02 eta: 20:30:19 time: 0.6000 data_time: 0.2042 memory: 8322 grad_norm: 3.3954 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.2123 loss: 2.2123 2022/07/31 17:49:32 - mmengine - INFO - Epoch(train) [3][240/940] lr: 1.0000e-02 eta: 20:28:28 time: 0.6937 data_time: 0.2203 memory: 8322 grad_norm: 3.4494 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.2470 loss: 2.2470 2022/07/31 17:49:43 - mmengine - INFO - Epoch(train) [3][260/940] lr: 1.0000e-02 eta: 20:24:44 time: 0.5599 data_time: 0.2253 memory: 8322 grad_norm: 3.5133 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 2.4243 loss: 2.4243 2022/07/31 17:49:58 - mmengine - INFO - Epoch(train) [3][280/940] lr: 1.0000e-02 eta: 20:23:20 time: 0.7198 data_time: 0.2009 memory: 8322 grad_norm: 3.4491 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 2.1664 loss: 2.1664 2022/07/31 17:50:10 - mmengine - INFO - Epoch(train) [3][300/940] lr: 1.0000e-02 eta: 20:20:20 time: 0.6047 data_time: 0.1068 memory: 8322 grad_norm: 3.4904 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.4400 loss: 2.4400 2022/07/31 17:50:24 - mmengine - INFO - Epoch(train) [3][320/940] lr: 1.0000e-02 eta: 20:18:52 time: 0.7104 data_time: 0.0482 memory: 8322 grad_norm: 3.4630 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1878 loss: 2.1878 2022/07/31 17:50:36 - mmengine - INFO - Epoch(train) [3][340/940] lr: 1.0000e-02 eta: 20:15:43 time: 0.5871 data_time: 0.0275 memory: 8322 grad_norm: 3.5025 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3826 loss: 2.3826 2022/07/31 17:50:49 - mmengine - INFO - Epoch(train) [3][360/940] lr: 1.0000e-02 eta: 20:13:59 time: 0.6884 data_time: 0.0397 memory: 8322 grad_norm: 3.4943 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.3025 loss: 2.3025 2022/07/31 17:51:01 - mmengine - INFO - Epoch(train) [3][380/940] lr: 1.0000e-02 eta: 20:10:47 time: 0.5764 data_time: 0.0330 memory: 8322 grad_norm: 3.4582 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.3896 loss: 2.3896 2022/07/31 17:51:16 - mmengine - INFO - Epoch(train) [3][400/940] lr: 1.0000e-02 eta: 20:09:47 time: 0.7368 data_time: 0.0383 memory: 8322 grad_norm: 3.4835 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.2674 loss: 2.2674 2022/07/31 17:51:29 - mmengine - INFO - Epoch(train) [3][420/940] lr: 1.0000e-02 eta: 20:07:36 time: 0.6465 data_time: 0.0315 memory: 8322 grad_norm: 3.5148 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.3064 loss: 2.3064 2022/07/31 17:51:41 - mmengine - INFO - Epoch(train) [3][440/940] lr: 1.0000e-02 eta: 20:04:59 time: 0.6116 data_time: 0.0385 memory: 8322 grad_norm: 3.4781 top1_acc: 0.2812 top5_acc: 0.5938 loss_cls: 2.2772 loss: 2.2772 2022/07/31 17:51:55 - mmengine - INFO - Epoch(train) [3][460/940] lr: 1.0000e-02 eta: 20:03:30 time: 0.6957 data_time: 0.0328 memory: 8322 grad_norm: 3.4588 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 2.2822 loss: 2.2822 2022/07/31 17:52:07 - mmengine - INFO - Epoch(train) [3][480/940] lr: 1.0000e-02 eta: 20:00:49 time: 0.6005 data_time: 0.0377 memory: 8322 grad_norm: 3.4465 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.0958 loss: 2.0958 2022/07/31 17:52:20 - mmengine - INFO - Epoch(train) [3][500/940] lr: 1.0000e-02 eta: 19:58:54 time: 0.6569 data_time: 0.0340 memory: 8322 grad_norm: 3.4854 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4657 loss: 2.4657 2022/07/31 17:52:32 - mmengine - INFO - Epoch(train) [3][520/940] lr: 1.0000e-02 eta: 19:56:26 time: 0.6124 data_time: 0.0370 memory: 8322 grad_norm: 3.4667 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.3080 loss: 2.3080 2022/07/31 17:52:47 - mmengine - INFO - Epoch(train) [3][540/940] lr: 1.0000e-02 eta: 19:55:31 time: 0.7315 data_time: 0.0310 memory: 8322 grad_norm: 3.4958 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.2974 loss: 2.2974 2022/07/31 17:52:58 - mmengine - INFO - Epoch(train) [3][560/940] lr: 1.0000e-02 eta: 19:52:35 time: 0.5696 data_time: 0.0515 memory: 8322 grad_norm: 3.5274 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.3568 loss: 2.3568 2022/07/31 17:53:12 - mmengine - INFO - Epoch(train) [3][580/940] lr: 1.0000e-02 eta: 19:50:57 time: 0.6708 data_time: 0.0284 memory: 8322 grad_norm: 3.4885 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.2296 loss: 2.2296 2022/07/31 17:53:24 - mmengine - INFO - Epoch(train) [3][600/940] lr: 1.0000e-02 eta: 19:48:35 time: 0.6094 data_time: 0.0399 memory: 8322 grad_norm: 3.4724 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 2.3342 loss: 2.3342 2022/07/31 17:53:37 - mmengine - INFO - Epoch(train) [3][620/940] lr: 1.0000e-02 eta: 19:46:42 time: 0.6461 data_time: 0.0313 memory: 8322 grad_norm: 3.5227 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.2347 loss: 2.2347 2022/07/31 17:53:49 - mmengine - INFO - Epoch(train) [3][640/940] lr: 1.0000e-02 eta: 19:44:28 time: 0.6155 data_time: 0.0344 memory: 8322 grad_norm: 3.5292 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.3167 loss: 2.3167 2022/07/31 17:54:00 - mmengine - INFO - Epoch(train) [3][660/940] lr: 1.0000e-02 eta: 19:41:45 time: 0.5713 data_time: 0.0385 memory: 8322 grad_norm: 3.5554 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.3296 loss: 2.3296 2022/07/31 17:54:15 - mmengine - INFO - Epoch(train) [3][680/940] lr: 1.0000e-02 eta: 19:40:44 time: 0.7116 data_time: 0.0424 memory: 8322 grad_norm: 3.5044 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3041 loss: 2.3041 2022/07/31 17:54:28 - mmengine - INFO - Epoch(train) [3][700/940] lr: 1.0000e-02 eta: 19:39:16 time: 0.6735 data_time: 0.0289 memory: 8322 grad_norm: 3.4554 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 2.1658 loss: 2.1658 2022/07/31 17:54:40 - mmengine - INFO - Epoch(train) [3][720/940] lr: 1.0000e-02 eta: 19:36:58 time: 0.5999 data_time: 0.0364 memory: 8322 grad_norm: 3.4967 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 2.2531 loss: 2.2531 2022/07/31 17:54:53 - mmengine - INFO - Epoch(train) [3][740/940] lr: 1.0000e-02 eta: 19:35:18 time: 0.6508 data_time: 0.0371 memory: 8322 grad_norm: 3.5096 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.3305 loss: 2.3305 2022/07/31 17:55:07 - mmengine - INFO - Epoch(train) [3][760/940] lr: 1.0000e-02 eta: 19:33:56 time: 0.6756 data_time: 0.0396 memory: 8322 grad_norm: 3.5069 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 2.1906 loss: 2.1906 2022/07/31 17:55:19 - mmengine - INFO - Epoch(train) [3][780/940] lr: 1.0000e-02 eta: 19:32:07 time: 0.6352 data_time: 0.0388 memory: 8322 grad_norm: 3.5009 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.2442 loss: 2.2442 2022/07/31 17:55:33 - mmengine - INFO - Epoch(train) [3][800/940] lr: 1.0000e-02 eta: 19:30:40 time: 0.6650 data_time: 0.0392 memory: 8322 grad_norm: 3.5201 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.2610 loss: 2.2610 2022/07/31 17:55:45 - mmengine - INFO - Epoch(train) [3][820/940] lr: 1.0000e-02 eta: 19:28:26 time: 0.5925 data_time: 0.0416 memory: 8322 grad_norm: 3.5182 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.2467 loss: 2.2467 2022/07/31 17:55:59 - mmengine - INFO - Epoch(train) [3][840/940] lr: 1.0000e-02 eta: 19:27:33 time: 0.7131 data_time: 0.0332 memory: 8322 grad_norm: 3.5729 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.2324 loss: 2.2324 2022/07/31 17:56:10 - mmengine - INFO - Epoch(train) [3][860/940] lr: 1.0000e-02 eta: 19:24:52 time: 0.5483 data_time: 0.0489 memory: 8322 grad_norm: 3.5182 top1_acc: 0.2812 top5_acc: 0.6875 loss_cls: 2.3487 loss: 2.3487 2022/07/31 17:56:24 - mmengine - INFO - Epoch(train) [3][880/940] lr: 1.0000e-02 eta: 19:24:08 time: 0.7227 data_time: 0.0391 memory: 8322 grad_norm: 3.5007 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.2515 loss: 2.2515 2022/07/31 17:56:35 - mmengine - INFO - Epoch(train) [3][900/940] lr: 1.0000e-02 eta: 19:21:29 time: 0.5461 data_time: 0.0409 memory: 8322 grad_norm: 3.4665 top1_acc: 0.4062 top5_acc: 0.8438 loss_cls: 2.3321 loss: 2.3321 2022/07/31 17:56:49 - mmengine - INFO - Epoch(train) [3][920/940] lr: 1.0000e-02 eta: 19:20:37 time: 0.7078 data_time: 0.0393 memory: 8322 grad_norm: 3.4912 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.3026 loss: 2.3026 2022/07/31 17:56:59 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 17:56:59 - mmengine - INFO - Epoch(train) [3][940/940] lr: 1.0000e-02 eta: 19:17:20 time: 0.4824 data_time: 0.0384 memory: 8322 grad_norm: 4.3455 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.2321 loss: 2.2321 2022/07/31 17:56:59 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/07/31 17:57:16 - mmengine - INFO - Epoch(val) [3][20/78] eta: 0:00:39 time: 0.6838 data_time: 0.6156 memory: 1463 2022/07/31 17:57:24 - mmengine - INFO - Epoch(val) [3][40/78] eta: 0:00:16 time: 0.4306 data_time: 0.3700 memory: 1463 2022/07/31 17:57:37 - mmengine - INFO - Epoch(val) [3][60/78] eta: 0:00:11 time: 0.6408 data_time: 0.5806 memory: 1463 2022/07/31 17:57:47 - mmengine - INFO - Epoch(val) [3][78/78] acc/top1: 0.5464 acc/top5: 0.7961 acc/mean1: 0.5462 2022/07/31 17:57:47 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/07/31 17:57:48 - mmengine - INFO - The best checkpoint with 0.5464 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/07/31 17:58:04 - mmengine - INFO - Epoch(train) [4][20/940] lr: 1.0000e-02 eta: 19:17:40 time: 0.8168 data_time: 0.6133 memory: 8322 grad_norm: 3.4493 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.2147 loss: 2.2147 2022/07/31 17:58:15 - mmengine - INFO - Epoch(train) [4][40/940] lr: 1.0000e-02 eta: 19:15:06 time: 0.5437 data_time: 0.3467 memory: 8322 grad_norm: 3.5220 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1295 loss: 2.1295 2022/07/31 17:58:30 - mmengine - INFO - Epoch(train) [4][60/940] lr: 1.0000e-02 eta: 19:14:32 time: 0.7318 data_time: 0.4492 memory: 8322 grad_norm: 3.4808 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2361 loss: 2.2361 2022/07/31 17:58:41 - mmengine - INFO - Epoch(train) [4][80/940] lr: 1.0000e-02 eta: 19:12:11 time: 0.5594 data_time: 0.3489 memory: 8322 grad_norm: 3.4348 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.1858 loss: 2.1858 2022/07/31 17:58:56 - mmengine - INFO - Epoch(train) [4][100/940] lr: 1.0000e-02 eta: 19:11:40 time: 0.7340 data_time: 0.4241 memory: 8322 grad_norm: 3.5233 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.0877 loss: 2.0877 2022/07/31 17:59:07 - mmengine - INFO - Epoch(train) [4][120/940] lr: 1.0000e-02 eta: 19:09:18 time: 0.5536 data_time: 0.3330 memory: 8322 grad_norm: 3.4700 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.2158 loss: 2.2158 2022/07/31 17:59:20 - mmengine - INFO - Epoch(train) [4][140/940] lr: 1.0000e-02 eta: 19:08:02 time: 0.6578 data_time: 0.4196 memory: 8322 grad_norm: 3.5203 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 2.3054 loss: 2.3054 2022/07/31 17:59:32 - mmengine - INFO - Epoch(train) [4][160/940] lr: 1.0000e-02 eta: 19:06:14 time: 0.6043 data_time: 0.3561 memory: 8322 grad_norm: 3.4803 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.2038 loss: 2.2038 2022/07/31 17:59:47 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 17:59:47 - mmengine - INFO - Epoch(train) [4][180/940] lr: 1.0000e-02 eta: 19:06:03 time: 0.7637 data_time: 0.3798 memory: 8322 grad_norm: 3.4737 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1974 loss: 2.1974 2022/07/31 17:59:58 - mmengine - INFO - Epoch(train) [4][200/940] lr: 1.0000e-02 eta: 19:03:25 time: 0.5185 data_time: 0.2067 memory: 8322 grad_norm: 3.4962 top1_acc: 0.3438 top5_acc: 0.7500 loss_cls: 2.0785 loss: 2.0785 2022/07/31 18:00:14 - mmengine - INFO - Epoch(train) [4][220/940] lr: 1.0000e-02 eta: 19:03:22 time: 0.7739 data_time: 0.1078 memory: 8322 grad_norm: 3.4856 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2632 loss: 2.2632 2022/07/31 18:00:24 - mmengine - INFO - Epoch(train) [4][240/940] lr: 1.0000e-02 eta: 19:01:03 time: 0.5458 data_time: 0.0809 memory: 8322 grad_norm: 3.4952 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.1160 loss: 2.1160 2022/07/31 18:00:39 - mmengine - INFO - Epoch(train) [4][260/940] lr: 1.0000e-02 eta: 19:00:50 time: 0.7553 data_time: 0.0869 memory: 8322 grad_norm: 3.5131 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2709 loss: 2.2709 2022/07/31 18:00:50 - mmengine - INFO - Epoch(train) [4][280/940] lr: 1.0000e-02 eta: 18:58:35 time: 0.5483 data_time: 0.0960 memory: 8322 grad_norm: 3.5795 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.2729 loss: 2.2729 2022/07/31 18:01:04 - mmengine - INFO - Epoch(train) [4][300/940] lr: 1.0000e-02 eta: 18:57:55 time: 0.7087 data_time: 0.1128 memory: 8322 grad_norm: 3.5688 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.1670 loss: 2.1670 2022/07/31 18:01:17 - mmengine - INFO - Epoch(train) [4][320/940] lr: 1.0000e-02 eta: 18:56:25 time: 0.6220 data_time: 0.0799 memory: 8322 grad_norm: 3.5309 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1996 loss: 2.1996 2022/07/31 18:01:30 - mmengine - INFO - Epoch(train) [4][340/940] lr: 1.0000e-02 eta: 18:55:17 time: 0.6581 data_time: 0.1042 memory: 8322 grad_norm: 3.5393 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.2140 loss: 2.2140 2022/07/31 18:01:43 - mmengine - INFO - Epoch(train) [4][360/940] lr: 1.0000e-02 eta: 18:53:57 time: 0.6371 data_time: 0.0450 memory: 8322 grad_norm: 3.5281 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.1199 loss: 2.1199 2022/07/31 18:01:56 - mmengine - INFO - Epoch(train) [4][380/940] lr: 1.0000e-02 eta: 18:52:38 time: 0.6364 data_time: 0.1722 memory: 8322 grad_norm: 3.5468 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1853 loss: 2.1853 2022/07/31 18:02:09 - mmengine - INFO - Epoch(train) [4][400/940] lr: 1.0000e-02 eta: 18:51:30 time: 0.6532 data_time: 0.1047 memory: 8322 grad_norm: 3.5191 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9816 loss: 1.9816 2022/07/31 18:02:22 - mmengine - INFO - Epoch(train) [4][420/940] lr: 1.0000e-02 eta: 18:50:27 time: 0.6622 data_time: 0.2486 memory: 8322 grad_norm: 3.5524 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 2.2889 loss: 2.2889 2022/07/31 18:02:34 - mmengine - INFO - Epoch(train) [4][440/940] lr: 1.0000e-02 eta: 18:48:59 time: 0.6166 data_time: 0.1728 memory: 8322 grad_norm: 3.5184 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.2862 loss: 2.2862 2022/07/31 18:02:49 - mmengine - INFO - Epoch(train) [4][460/940] lr: 1.0000e-02 eta: 18:48:24 time: 0.7094 data_time: 0.1409 memory: 8322 grad_norm: 3.5296 top1_acc: 0.4062 top5_acc: 0.5625 loss_cls: 2.0918 loss: 2.0918 2022/07/31 18:02:59 - mmengine - INFO - Epoch(train) [4][480/940] lr: 1.0000e-02 eta: 18:46:20 time: 0.5481 data_time: 0.1717 memory: 8322 grad_norm: 3.5352 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 2.1799 loss: 2.1799 2022/07/31 18:03:14 - mmengine - INFO - Epoch(train) [4][500/940] lr: 1.0000e-02 eta: 18:45:50 time: 0.7185 data_time: 0.2540 memory: 8322 grad_norm: 3.5088 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.1844 loss: 2.1844 2022/07/31 18:03:26 - mmengine - INFO - Epoch(train) [4][520/940] lr: 1.0000e-02 eta: 18:44:15 time: 0.5960 data_time: 0.1984 memory: 8322 grad_norm: 3.5150 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0672 loss: 2.0672 2022/07/31 18:03:39 - mmengine - INFO - Epoch(train) [4][540/940] lr: 1.0000e-02 eta: 18:43:24 time: 0.6785 data_time: 0.3066 memory: 8322 grad_norm: 3.5016 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 2.1104 loss: 2.1104 2022/07/31 18:03:51 - mmengine - INFO - Epoch(train) [4][560/940] lr: 1.0000e-02 eta: 18:41:58 time: 0.6109 data_time: 0.1437 memory: 8322 grad_norm: 3.5343 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1299 loss: 2.1299 2022/07/31 18:04:05 - mmengine - INFO - Epoch(train) [4][580/940] lr: 1.0000e-02 eta: 18:41:18 time: 0.6950 data_time: 0.1487 memory: 8322 grad_norm: 3.5321 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 2.1022 loss: 2.1022 2022/07/31 18:04:17 - mmengine - INFO - Epoch(train) [4][600/940] lr: 1.0000e-02 eta: 18:39:41 time: 0.5872 data_time: 0.0834 memory: 8322 grad_norm: 3.5457 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 2.2180 loss: 2.2180 2022/07/31 18:04:30 - mmengine - INFO - Epoch(train) [4][620/940] lr: 1.0000e-02 eta: 18:38:47 time: 0.6679 data_time: 0.0356 memory: 8322 grad_norm: 3.5759 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0702 loss: 2.0702 2022/07/31 18:04:43 - mmengine - INFO - Epoch(train) [4][640/940] lr: 1.0000e-02 eta: 18:37:46 time: 0.6522 data_time: 0.0523 memory: 8322 grad_norm: 3.5747 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0261 loss: 2.0261 2022/07/31 18:04:55 - mmengine - INFO - Epoch(train) [4][660/940] lr: 1.0000e-02 eta: 18:36:01 time: 0.5675 data_time: 0.0390 memory: 8322 grad_norm: 3.5124 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0881 loss: 2.0881 2022/07/31 18:05:10 - mmengine - INFO - Epoch(train) [4][680/940] lr: 1.0000e-02 eta: 18:35:46 time: 0.7393 data_time: 0.0325 memory: 8322 grad_norm: 3.5711 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.0844 loss: 2.0844 2022/07/31 18:05:21 - mmengine - INFO - Epoch(train) [4][700/940] lr: 1.0000e-02 eta: 18:34:01 time: 0.5645 data_time: 0.0497 memory: 8322 grad_norm: 3.6136 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0282 loss: 2.0282 2022/07/31 18:05:36 - mmengine - INFO - Epoch(train) [4][720/940] lr: 1.0000e-02 eta: 18:33:45 time: 0.7376 data_time: 0.0404 memory: 8322 grad_norm: 3.5776 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 2.0767 loss: 2.0767 2022/07/31 18:05:47 - mmengine - INFO - Epoch(train) [4][740/940] lr: 1.0000e-02 eta: 18:31:57 time: 0.5538 data_time: 0.0408 memory: 8322 grad_norm: 3.4909 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1457 loss: 2.1457 2022/07/31 18:06:01 - mmengine - INFO - Epoch(train) [4][760/940] lr: 1.0000e-02 eta: 18:31:21 time: 0.6968 data_time: 0.0371 memory: 8322 grad_norm: 3.5249 top1_acc: 0.3125 top5_acc: 0.6562 loss_cls: 2.2327 loss: 2.2327 2022/07/31 18:06:13 - mmengine - INFO - Epoch(train) [4][780/940] lr: 1.0000e-02 eta: 18:30:04 time: 0.6129 data_time: 0.0347 memory: 8322 grad_norm: 3.5905 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1017 loss: 2.1017 2022/07/31 18:06:27 - mmengine - INFO - Epoch(train) [4][800/940] lr: 1.0000e-02 eta: 18:29:45 time: 0.7281 data_time: 0.0377 memory: 8322 grad_norm: 3.5909 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.1898 loss: 2.1898 2022/07/31 18:06:38 - mmengine - INFO - Epoch(train) [4][820/940] lr: 1.0000e-02 eta: 18:27:54 time: 0.5430 data_time: 0.0350 memory: 8322 grad_norm: 3.5425 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2847 loss: 2.2847 2022/07/31 18:06:53 - mmengine - INFO - Epoch(train) [4][840/940] lr: 1.0000e-02 eta: 18:27:30 time: 0.7159 data_time: 0.0390 memory: 8322 grad_norm: 3.5499 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.1533 loss: 2.1533 2022/07/31 18:07:04 - mmengine - INFO - Epoch(train) [4][860/940] lr: 1.0000e-02 eta: 18:25:50 time: 0.5633 data_time: 0.0343 memory: 8322 grad_norm: 3.5618 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.2586 loss: 2.2586 2022/07/31 18:07:19 - mmengine - INFO - Epoch(train) [4][880/940] lr: 1.0000e-02 eta: 18:25:53 time: 0.7695 data_time: 0.0293 memory: 8322 grad_norm: 3.5529 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1695 loss: 2.1695 2022/07/31 18:07:31 - mmengine - INFO - Epoch(train) [4][900/940] lr: 1.0000e-02 eta: 18:24:22 time: 0.5781 data_time: 0.0449 memory: 8322 grad_norm: 3.4908 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1827 loss: 2.1827 2022/07/31 18:07:45 - mmengine - INFO - Epoch(train) [4][920/940] lr: 1.0000e-02 eta: 18:23:48 time: 0.6952 data_time: 0.0351 memory: 8322 grad_norm: 3.4973 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.0661 loss: 2.0661 2022/07/31 18:07:54 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:07:54 - mmengine - INFO - Epoch(train) [4][940/940] lr: 1.0000e-02 eta: 18:21:32 time: 0.4792 data_time: 0.0286 memory: 8322 grad_norm: 3.7366 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 2.1823 loss: 2.1823 2022/07/31 18:08:08 - mmengine - INFO - Epoch(val) [4][20/78] eta: 0:00:38 time: 0.6665 data_time: 0.6047 memory: 1463 2022/07/31 18:08:17 - mmengine - INFO - Epoch(val) [4][40/78] eta: 0:00:16 time: 0.4408 data_time: 0.3778 memory: 1463 2022/07/31 18:08:30 - mmengine - INFO - Epoch(val) [4][60/78] eta: 0:00:12 time: 0.6706 data_time: 0.6064 memory: 1463 2022/07/31 18:08:41 - mmengine - INFO - Epoch(val) [4][78/78] acc/top1: 0.5675 acc/top5: 0.8113 acc/mean1: 0.5674 2022/07/31 18:08:41 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/07/31 18:08:42 - mmengine - INFO - The best checkpoint with 0.5675 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/07/31 18:08:58 - mmengine - INFO - Epoch(train) [5][20/940] lr: 1.0000e-02 eta: 18:21:53 time: 0.8074 data_time: 0.5696 memory: 8322 grad_norm: 3.5093 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.1023 loss: 2.1023 2022/07/31 18:09:09 - mmengine - INFO - Epoch(train) [5][40/940] lr: 1.0000e-02 eta: 18:20:14 time: 0.5559 data_time: 0.3271 memory: 8322 grad_norm: 3.4877 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1257 loss: 2.1257 2022/07/31 18:09:24 - mmengine - INFO - Epoch(train) [5][60/940] lr: 1.0000e-02 eta: 18:19:58 time: 0.7283 data_time: 0.4988 memory: 8322 grad_norm: 3.5862 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.0167 loss: 2.0167 2022/07/31 18:09:35 - mmengine - INFO - Epoch(train) [5][80/940] lr: 1.0000e-02 eta: 18:18:26 time: 0.5675 data_time: 0.3591 memory: 8322 grad_norm: 3.5039 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 2.0048 loss: 2.0048 2022/07/31 18:09:50 - mmengine - INFO - Epoch(train) [5][100/940] lr: 1.0000e-02 eta: 18:18:21 time: 0.7507 data_time: 0.5398 memory: 8322 grad_norm: 3.5363 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0891 loss: 2.0891 2022/07/31 18:10:00 - mmengine - INFO - Epoch(train) [5][120/940] lr: 1.0000e-02 eta: 18:16:15 time: 0.4933 data_time: 0.2816 memory: 8322 grad_norm: 3.5798 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.9572 loss: 1.9572 2022/07/31 18:10:15 - mmengine - INFO - Epoch(train) [5][140/940] lr: 1.0000e-02 eta: 18:16:02 time: 0.7313 data_time: 0.5182 memory: 8322 grad_norm: 3.5687 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1086 loss: 2.1086 2022/07/31 18:10:26 - mmengine - INFO - Epoch(train) [5][160/940] lr: 1.0000e-02 eta: 18:14:26 time: 0.5540 data_time: 0.2494 memory: 8322 grad_norm: 3.6162 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1025 loss: 2.1025 2022/07/31 18:10:40 - mmengine - INFO - Epoch(train) [5][180/940] lr: 1.0000e-02 eta: 18:13:59 time: 0.7007 data_time: 0.2972 memory: 8322 grad_norm: 3.5923 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.2040 loss: 2.2040 2022/07/31 18:10:51 - mmengine - INFO - Epoch(train) [5][200/940] lr: 1.0000e-02 eta: 18:12:25 time: 0.5550 data_time: 0.1873 memory: 8322 grad_norm: 3.5384 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0798 loss: 2.0798 2022/07/31 18:11:05 - mmengine - INFO - Epoch(train) [5][220/940] lr: 1.0000e-02 eta: 18:11:58 time: 0.7008 data_time: 0.2254 memory: 8322 grad_norm: 3.6475 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 2.0863 loss: 2.0863 2022/07/31 18:11:16 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:11:16 - mmengine - INFO - Epoch(train) [5][240/940] lr: 1.0000e-02 eta: 18:10:35 time: 0.5743 data_time: 0.1475 memory: 8322 grad_norm: 3.6024 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.0198 loss: 2.0198 2022/07/31 18:11:31 - mmengine - INFO - Epoch(train) [5][260/940] lr: 1.0000e-02 eta: 18:10:12 time: 0.7090 data_time: 0.3367 memory: 8322 grad_norm: 3.5550 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1604 loss: 2.1604 2022/07/31 18:11:43 - mmengine - INFO - Epoch(train) [5][280/940] lr: 1.0000e-02 eta: 18:09:01 time: 0.6006 data_time: 0.1978 memory: 8322 grad_norm: 3.5705 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.1033 loss: 2.1033 2022/07/31 18:11:56 - mmengine - INFO - Epoch(train) [5][300/940] lr: 1.0000e-02 eta: 18:08:18 time: 0.6630 data_time: 0.1129 memory: 8322 grad_norm: 3.5952 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 2.1256 loss: 2.1256 2022/07/31 18:12:10 - mmengine - INFO - Epoch(train) [5][320/940] lr: 1.0000e-02 eta: 18:07:53 time: 0.7001 data_time: 0.0343 memory: 8322 grad_norm: 3.6208 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 2.1963 loss: 2.1963 2022/07/31 18:12:31 - mmengine - INFO - Epoch(train) [5][340/940] lr: 1.0000e-02 eta: 18:10:05 time: 1.0617 data_time: 0.5671 memory: 8322 grad_norm: 3.5854 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.2010 loss: 2.2010 2022/07/31 18:12:44 - mmengine - INFO - Epoch(train) [5][360/940] lr: 1.0000e-02 eta: 18:09:23 time: 0.6647 data_time: 0.4467 memory: 8322 grad_norm: 3.5739 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 2.0182 loss: 2.0182 2022/07/31 18:12:54 - mmengine - INFO - Epoch(train) [5][380/940] lr: 1.0000e-02 eta: 18:07:30 time: 0.4997 data_time: 0.2336 memory: 8322 grad_norm: 3.5521 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 2.0267 loss: 2.0267 2022/07/31 18:13:09 - mmengine - INFO - Epoch(train) [5][400/940] lr: 1.0000e-02 eta: 18:07:22 time: 0.7408 data_time: 0.4824 memory: 8322 grad_norm: 3.5726 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9307 loss: 1.9307 2022/07/31 18:13:20 - mmengine - INFO - Epoch(train) [5][420/940] lr: 1.0000e-02 eta: 18:05:55 time: 0.5591 data_time: 0.2906 memory: 8322 grad_norm: 3.5445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0875 loss: 2.0875 2022/07/31 18:13:35 - mmengine - INFO - Epoch(train) [5][440/940] lr: 1.0000e-02 eta: 18:05:51 time: 0.7488 data_time: 0.4790 memory: 8322 grad_norm: 3.4698 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0928 loss: 2.0928 2022/07/31 18:13:46 - mmengine - INFO - Epoch(train) [5][460/940] lr: 1.0000e-02 eta: 18:04:13 time: 0.5295 data_time: 0.3017 memory: 8322 grad_norm: 3.6012 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 2.1975 loss: 2.1975 2022/07/31 18:14:00 - mmengine - INFO - Epoch(train) [5][480/940] lr: 1.0000e-02 eta: 18:03:45 time: 0.6919 data_time: 0.3481 memory: 8322 grad_norm: 3.6797 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0267 loss: 2.0267 2022/07/31 18:14:13 - mmengine - INFO - Epoch(train) [5][500/940] lr: 1.0000e-02 eta: 18:02:54 time: 0.6395 data_time: 0.3019 memory: 8322 grad_norm: 3.5962 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0619 loss: 2.0619 2022/07/31 18:14:30 - mmengine - INFO - Epoch(train) [5][520/940] lr: 1.0000e-02 eta: 18:03:35 time: 0.8553 data_time: 0.2716 memory: 8322 grad_norm: 3.5866 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.1095 loss: 2.1095 2022/07/31 18:14:41 - mmengine - INFO - Epoch(train) [5][540/940] lr: 1.0000e-02 eta: 18:02:23 time: 0.5864 data_time: 0.0313 memory: 8322 grad_norm: 3.5837 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 2.1762 loss: 2.1762 2022/07/31 18:14:59 - mmengine - INFO - Epoch(train) [5][560/940] lr: 1.0000e-02 eta: 18:03:17 time: 0.8901 data_time: 0.0338 memory: 8322 grad_norm: 3.6283 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1069 loss: 2.1069 2022/07/31 18:15:10 - mmengine - INFO - Epoch(train) [5][580/940] lr: 1.0000e-02 eta: 18:01:53 time: 0.5567 data_time: 0.0432 memory: 8322 grad_norm: 3.5660 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 2.0959 loss: 2.0959 2022/07/31 18:15:24 - mmengine - INFO - Epoch(train) [5][600/940] lr: 1.0000e-02 eta: 18:01:26 time: 0.6924 data_time: 0.0261 memory: 8322 grad_norm: 3.5826 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0149 loss: 2.0149 2022/07/31 18:15:36 - mmengine - INFO - Epoch(train) [5][620/940] lr: 1.0000e-02 eta: 18:00:11 time: 0.5769 data_time: 0.0389 memory: 8322 grad_norm: 3.6369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2709 loss: 2.2709 2022/07/31 18:15:51 - mmengine - INFO - Epoch(train) [5][640/940] lr: 1.0000e-02 eta: 18:00:04 time: 0.7403 data_time: 0.0487 memory: 8322 grad_norm: 3.6339 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1324 loss: 2.1324 2022/07/31 18:16:01 - mmengine - INFO - Epoch(train) [5][660/940] lr: 1.0000e-02 eta: 17:58:34 time: 0.5370 data_time: 0.0433 memory: 8322 grad_norm: 3.5408 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.1259 loss: 2.1259 2022/07/31 18:16:15 - mmengine - INFO - Epoch(train) [5][680/940] lr: 1.0000e-02 eta: 17:58:07 time: 0.6914 data_time: 0.0316 memory: 8322 grad_norm: 3.6095 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.9269 loss: 1.9269 2022/07/31 18:16:27 - mmengine - INFO - Epoch(train) [5][700/940] lr: 1.0000e-02 eta: 17:56:57 time: 0.5836 data_time: 0.0408 memory: 8322 grad_norm: 3.5609 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9748 loss: 1.9748 2022/07/31 18:16:41 - mmengine - INFO - Epoch(train) [5][720/940] lr: 1.0000e-02 eta: 17:56:45 time: 0.7291 data_time: 0.0360 memory: 8322 grad_norm: 3.5741 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 2.1174 loss: 2.1174 2022/07/31 18:16:53 - mmengine - INFO - Epoch(train) [5][740/940] lr: 1.0000e-02 eta: 17:55:39 time: 0.5920 data_time: 0.0386 memory: 8322 grad_norm: 3.5701 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 2.1812 loss: 2.1812 2022/07/31 18:17:06 - mmengine - INFO - Epoch(train) [5][760/940] lr: 1.0000e-02 eta: 17:54:51 time: 0.6356 data_time: 0.0278 memory: 8322 grad_norm: 3.5517 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9710 loss: 1.9710 2022/07/31 18:17:20 - mmengine - INFO - Epoch(train) [5][780/940] lr: 1.0000e-02 eta: 17:54:27 time: 0.6973 data_time: 0.0338 memory: 8322 grad_norm: 3.6072 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0362 loss: 2.0362 2022/07/31 18:17:30 - mmengine - INFO - Epoch(train) [5][800/940] lr: 1.0000e-02 eta: 17:52:58 time: 0.5307 data_time: 0.0285 memory: 8322 grad_norm: 3.6281 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.0874 loss: 2.0874 2022/07/31 18:17:46 - mmengine - INFO - Epoch(train) [5][820/940] lr: 1.0000e-02 eta: 17:52:57 time: 0.7541 data_time: 0.0365 memory: 8322 grad_norm: 3.6120 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 2.0662 loss: 2.0662 2022/07/31 18:17:57 - mmengine - INFO - Epoch(train) [5][840/940] lr: 1.0000e-02 eta: 17:51:50 time: 0.5832 data_time: 0.0290 memory: 8322 grad_norm: 3.5467 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.9483 loss: 1.9483 2022/07/31 18:18:11 - mmengine - INFO - Epoch(train) [5][860/940] lr: 1.0000e-02 eta: 17:51:23 time: 0.6863 data_time: 0.0400 memory: 8322 grad_norm: 3.5527 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0403 loss: 2.0403 2022/07/31 18:18:21 - mmengine - INFO - Epoch(train) [5][880/940] lr: 1.0000e-02 eta: 17:49:54 time: 0.5262 data_time: 0.0360 memory: 8322 grad_norm: 3.6893 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9945 loss: 1.9945 2022/07/31 18:18:36 - mmengine - INFO - Epoch(train) [5][900/940] lr: 1.0000e-02 eta: 17:49:45 time: 0.7336 data_time: 0.0393 memory: 8322 grad_norm: 3.5972 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 2.0743 loss: 2.0743 2022/07/31 18:18:47 - mmengine - INFO - Epoch(train) [5][920/940] lr: 1.0000e-02 eta: 17:48:28 time: 0.5539 data_time: 0.0302 memory: 8322 grad_norm: 3.5855 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.9709 loss: 1.9709 2022/07/31 18:18:59 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:18:59 - mmengine - INFO - Epoch(train) [5][940/940] lr: 1.0000e-02 eta: 17:47:32 time: 0.6087 data_time: 0.0263 memory: 8322 grad_norm: 3.7586 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.0834 loss: 2.0834 2022/07/31 18:19:13 - mmengine - INFO - Epoch(val) [5][20/78] eta: 0:00:38 time: 0.6713 data_time: 0.6081 memory: 1463 2022/07/31 18:19:22 - mmengine - INFO - Epoch(val) [5][40/78] eta: 0:00:16 time: 0.4378 data_time: 0.3728 memory: 1463 2022/07/31 18:19:35 - mmengine - INFO - Epoch(val) [5][60/78] eta: 0:00:11 time: 0.6466 data_time: 0.5858 memory: 1463 2022/07/31 18:19:45 - mmengine - INFO - Epoch(val) [5][78/78] acc/top1: 0.5814 acc/top5: 0.8202 acc/mean1: 0.5812 2022/07/31 18:19:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_5.pth is removed 2022/07/31 18:19:48 - mmengine - INFO - The best checkpoint with 0.5814 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/07/31 18:20:04 - mmengine - INFO - Epoch(train) [6][20/940] lr: 1.0000e-02 eta: 17:47:57 time: 0.8197 data_time: 0.6098 memory: 8322 grad_norm: 3.6292 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8799 loss: 1.8799 2022/07/31 18:20:16 - mmengine - INFO - Epoch(train) [6][40/940] lr: 1.0000e-02 eta: 17:46:49 time: 0.5756 data_time: 0.3327 memory: 8322 grad_norm: 3.6025 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0430 loss: 2.0430 2022/07/31 18:20:31 - mmengine - INFO - Epoch(train) [6][60/940] lr: 1.0000e-02 eta: 17:46:54 time: 0.7704 data_time: 0.5268 memory: 8322 grad_norm: 3.5677 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.1409 loss: 2.1409 2022/07/31 18:20:42 - mmengine - INFO - Epoch(train) [6][80/940] lr: 1.0000e-02 eta: 17:45:28 time: 0.5245 data_time: 0.2965 memory: 8322 grad_norm: 3.5411 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9170 loss: 1.9170 2022/07/31 18:20:56 - mmengine - INFO - Epoch(train) [6][100/940] lr: 1.0000e-02 eta: 17:45:22 time: 0.7390 data_time: 0.4755 memory: 8322 grad_norm: 3.5687 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9847 loss: 1.9847 2022/07/31 18:21:08 - mmengine - INFO - Epoch(train) [6][120/940] lr: 1.0000e-02 eta: 17:44:23 time: 0.5947 data_time: 0.3629 memory: 8322 grad_norm: 3.6062 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 2.0172 loss: 2.0172 2022/07/31 18:21:22 - mmengine - INFO - Epoch(train) [6][140/940] lr: 1.0000e-02 eta: 17:44:04 time: 0.7051 data_time: 0.4729 memory: 8322 grad_norm: 3.6312 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.9246 loss: 1.9246 2022/07/31 18:21:33 - mmengine - INFO - Epoch(train) [6][160/940] lr: 1.0000e-02 eta: 17:42:47 time: 0.5437 data_time: 0.3269 memory: 8322 grad_norm: 3.6092 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9762 loss: 1.9762 2022/07/31 18:21:47 - mmengine - INFO - Epoch(train) [6][180/940] lr: 1.0000e-02 eta: 17:42:18 time: 0.6763 data_time: 0.4676 memory: 8322 grad_norm: 3.5891 top1_acc: 0.3438 top5_acc: 0.8438 loss_cls: 1.7841 loss: 1.7841 2022/07/31 18:21:59 - mmengine - INFO - Epoch(train) [6][200/940] lr: 1.0000e-02 eta: 17:41:18 time: 0.5886 data_time: 0.3683 memory: 8322 grad_norm: 3.5621 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.9437 loss: 1.9437 2022/07/31 18:22:13 - mmengine - INFO - Epoch(train) [6][220/940] lr: 1.0000e-02 eta: 17:40:58 time: 0.6996 data_time: 0.4796 memory: 8322 grad_norm: 3.6333 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0208 loss: 2.0208 2022/07/31 18:22:24 - mmengine - INFO - Epoch(train) [6][240/940] lr: 1.0000e-02 eta: 17:39:44 time: 0.5494 data_time: 0.3206 memory: 8322 grad_norm: 3.5781 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 2.0315 loss: 2.0315 2022/07/31 18:22:39 - mmengine - INFO - Epoch(train) [6][260/940] lr: 1.0000e-02 eta: 17:39:45 time: 0.7570 data_time: 0.5322 memory: 8322 grad_norm: 3.6063 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.0336 loss: 2.0336 2022/07/31 18:22:51 - mmengine - INFO - Epoch(train) [6][280/940] lr: 1.0000e-02 eta: 17:38:50 time: 0.5984 data_time: 0.3481 memory: 8322 grad_norm: 3.6383 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.0223 loss: 2.0223 2022/07/31 18:23:05 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:23:05 - mmengine - INFO - Epoch(train) [6][300/940] lr: 1.0000e-02 eta: 17:38:34 time: 0.7104 data_time: 0.4381 memory: 8322 grad_norm: 3.6152 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.8678 loss: 1.8678 2022/07/31 18:23:17 - mmengine - INFO - Epoch(train) [6][320/940] lr: 1.0000e-02 eta: 17:37:40 time: 0.6016 data_time: 0.3644 memory: 8322 grad_norm: 3.6441 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.0589 loss: 2.0589 2022/07/31 18:23:32 - mmengine - INFO - Epoch(train) [6][340/940] lr: 1.0000e-02 eta: 17:37:40 time: 0.7540 data_time: 0.4919 memory: 8322 grad_norm: 3.5926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8916 loss: 1.8916 2022/07/31 18:23:43 - mmengine - INFO - Epoch(train) [6][360/940] lr: 1.0000e-02 eta: 17:36:27 time: 0.5458 data_time: 0.3277 memory: 8322 grad_norm: 3.5659 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.8940 loss: 1.8940 2022/07/31 18:23:57 - mmengine - INFO - Epoch(train) [6][380/940] lr: 1.0000e-02 eta: 17:36:17 time: 0.7227 data_time: 0.4572 memory: 8322 grad_norm: 3.6840 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1005 loss: 2.1005 2022/07/31 18:24:10 - mmengine - INFO - Epoch(train) [6][400/940] lr: 1.0000e-02 eta: 17:35:43 time: 0.6581 data_time: 0.4204 memory: 8322 grad_norm: 3.6458 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.8621 loss: 1.8621 2022/07/31 18:24:24 - mmengine - INFO - Epoch(train) [6][420/940] lr: 1.0000e-02 eta: 17:35:20 time: 0.6862 data_time: 0.4557 memory: 8322 grad_norm: 3.5832 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 1.9928 loss: 1.9928 2022/07/31 18:24:37 - mmengine - INFO - Epoch(train) [6][440/940] lr: 1.0000e-02 eta: 17:34:37 time: 0.6300 data_time: 0.3811 memory: 8322 grad_norm: 3.6565 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0632 loss: 2.0632 2022/07/31 18:24:53 - mmengine - INFO - Epoch(train) [6][460/940] lr: 1.0000e-02 eta: 17:34:51 time: 0.7929 data_time: 0.5303 memory: 8322 grad_norm: 3.6449 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 2.0475 loss: 2.0475 2022/07/31 18:25:04 - mmengine - INFO - Epoch(train) [6][480/940] lr: 1.0000e-02 eta: 17:33:40 time: 0.5467 data_time: 0.3242 memory: 8322 grad_norm: 3.6650 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0743 loss: 2.0743 2022/07/31 18:25:18 - mmengine - INFO - Epoch(train) [6][500/940] lr: 1.0000e-02 eta: 17:33:31 time: 0.7290 data_time: 0.4976 memory: 8322 grad_norm: 3.5971 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9615 loss: 1.9615 2022/07/31 18:25:29 - mmengine - INFO - Epoch(train) [6][520/940] lr: 1.0000e-02 eta: 17:32:25 time: 0.5582 data_time: 0.3156 memory: 8322 grad_norm: 3.6146 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9457 loss: 1.9457 2022/07/31 18:25:44 - mmengine - INFO - Epoch(train) [6][540/940] lr: 1.0000e-02 eta: 17:32:11 time: 0.7137 data_time: 0.4892 memory: 8322 grad_norm: 3.6128 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0208 loss: 2.0208 2022/07/31 18:25:55 - mmengine - INFO - Epoch(train) [6][560/940] lr: 1.0000e-02 eta: 17:31:04 time: 0.5552 data_time: 0.3203 memory: 8322 grad_norm: 3.6382 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 2.0929 loss: 2.0929 2022/07/31 18:26:09 - mmengine - INFO - Epoch(train) [6][580/940] lr: 1.0000e-02 eta: 17:30:59 time: 0.7374 data_time: 0.4960 memory: 8322 grad_norm: 3.6638 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9011 loss: 1.9011 2022/07/31 18:26:21 - mmengine - INFO - Epoch(train) [6][600/940] lr: 1.0000e-02 eta: 17:30:02 time: 0.5830 data_time: 0.3737 memory: 8322 grad_norm: 3.6433 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9740 loss: 1.9740 2022/07/31 18:26:34 - mmengine - INFO - Epoch(train) [6][620/940] lr: 1.0000e-02 eta: 17:29:25 time: 0.6405 data_time: 0.4028 memory: 8322 grad_norm: 3.5905 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 2.1429 loss: 2.1429 2022/07/31 18:26:46 - mmengine - INFO - Epoch(train) [6][640/940] lr: 1.0000e-02 eta: 17:28:40 time: 0.6191 data_time: 0.3961 memory: 8322 grad_norm: 3.6189 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 1.9592 loss: 1.9592 2022/07/31 18:27:00 - mmengine - INFO - Epoch(train) [6][660/940] lr: 1.0000e-02 eta: 17:28:13 time: 0.6704 data_time: 0.4282 memory: 8322 grad_norm: 3.6131 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9725 loss: 1.9725 2022/07/31 18:27:12 - mmengine - INFO - Epoch(train) [6][680/940] lr: 1.0000e-02 eta: 17:27:25 time: 0.6060 data_time: 0.3137 memory: 8322 grad_norm: 3.6089 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0614 loss: 2.0614 2022/07/31 18:27:26 - mmengine - INFO - Epoch(train) [6][700/940] lr: 1.0000e-02 eta: 17:27:11 time: 0.7090 data_time: 0.2530 memory: 8322 grad_norm: 3.6162 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.9558 loss: 1.9558 2022/07/31 18:27:37 - mmengine - INFO - Epoch(train) [6][720/940] lr: 1.0000e-02 eta: 17:26:07 time: 0.5571 data_time: 0.2338 memory: 8322 grad_norm: 3.6942 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0352 loss: 2.0352 2022/07/31 18:27:52 - mmengine - INFO - Epoch(train) [6][740/940] lr: 1.0000e-02 eta: 17:25:56 time: 0.7190 data_time: 0.3784 memory: 8322 grad_norm: 3.6664 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0557 loss: 2.0557 2022/07/31 18:28:03 - mmengine - INFO - Epoch(train) [6][760/940] lr: 1.0000e-02 eta: 17:24:54 time: 0.5613 data_time: 0.3115 memory: 8322 grad_norm: 3.6379 top1_acc: 0.5312 top5_acc: 0.5938 loss_cls: 2.0730 loss: 2.0730 2022/07/31 18:28:18 - mmengine - INFO - Epoch(train) [6][780/940] lr: 1.0000e-02 eta: 17:24:56 time: 0.7591 data_time: 0.4982 memory: 8322 grad_norm: 3.6527 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 2.0136 loss: 2.0136 2022/07/31 18:28:30 - mmengine - INFO - Epoch(train) [6][800/940] lr: 1.0000e-02 eta: 17:24:00 time: 0.5786 data_time: 0.3423 memory: 8322 grad_norm: 3.6440 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 2.2230 loss: 2.2230 2022/07/31 18:28:44 - mmengine - INFO - Epoch(train) [6][820/940] lr: 1.0000e-02 eta: 17:23:57 time: 0.7414 data_time: 0.4959 memory: 8322 grad_norm: 3.6577 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1080 loss: 2.1080 2022/07/31 18:28:56 - mmengine - INFO - Epoch(train) [6][840/940] lr: 1.0000e-02 eta: 17:23:01 time: 0.5764 data_time: 0.3276 memory: 8322 grad_norm: 3.6508 top1_acc: 0.3750 top5_acc: 0.8438 loss_cls: 2.0007 loss: 2.0007 2022/07/31 18:29:12 - mmengine - INFO - Epoch(train) [6][860/940] lr: 1.0000e-02 eta: 17:23:11 time: 0.7827 data_time: 0.5247 memory: 8322 grad_norm: 3.6625 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 2.0455 loss: 2.0455 2022/07/31 18:29:23 - mmengine - INFO - Epoch(train) [6][880/940] lr: 1.0000e-02 eta: 17:22:07 time: 0.5522 data_time: 0.3325 memory: 8322 grad_norm: 3.6441 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0300 loss: 2.0300 2022/07/31 18:29:37 - mmengine - INFO - Epoch(train) [6][900/940] lr: 1.0000e-02 eta: 17:21:53 time: 0.7072 data_time: 0.4156 memory: 8322 grad_norm: 3.6499 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9902 loss: 1.9902 2022/07/31 18:29:48 - mmengine - INFO - Epoch(train) [6][920/940] lr: 1.0000e-02 eta: 17:20:55 time: 0.5688 data_time: 0.3383 memory: 8322 grad_norm: 3.6860 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.0924 loss: 2.0924 2022/07/31 18:30:02 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:30:02 - mmengine - INFO - Epoch(train) [6][940/940] lr: 1.0000e-02 eta: 17:20:30 time: 0.6700 data_time: 0.4517 memory: 8322 grad_norm: 3.8523 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.9976 loss: 1.9976 2022/07/31 18:30:02 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/07/31 18:30:17 - mmengine - INFO - Epoch(val) [6][20/78] eta: 0:00:39 time: 0.6754 data_time: 0.6147 memory: 1463 2022/07/31 18:30:26 - mmengine - INFO - Epoch(val) [6][40/78] eta: 0:00:16 time: 0.4455 data_time: 0.3853 memory: 1463 2022/07/31 18:30:39 - mmengine - INFO - Epoch(val) [6][60/78] eta: 0:00:11 time: 0.6594 data_time: 0.5839 memory: 1463 2022/07/31 18:30:49 - mmengine - INFO - Epoch(val) [6][78/78] acc/top1: 0.5948 acc/top5: 0.8310 acc/mean1: 0.5947 2022/07/31 18:30:49 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/07/31 18:30:51 - mmengine - INFO - The best checkpoint with 0.5948 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/07/31 18:31:07 - mmengine - INFO - Epoch(train) [7][20/940] lr: 1.0000e-02 eta: 17:20:45 time: 0.8000 data_time: 0.5910 memory: 8322 grad_norm: 3.6582 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0011 loss: 2.0011 2022/07/31 18:31:18 - mmengine - INFO - Epoch(train) [7][40/940] lr: 1.0000e-02 eta: 17:19:42 time: 0.5497 data_time: 0.3463 memory: 8322 grad_norm: 3.5861 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.9867 loss: 1.9867 2022/07/31 18:31:32 - mmengine - INFO - Epoch(train) [7][60/940] lr: 1.0000e-02 eta: 17:19:37 time: 0.7349 data_time: 0.5130 memory: 8322 grad_norm: 3.6014 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.9500 loss: 1.9500 2022/07/31 18:31:44 - mmengine - INFO - Epoch(train) [7][80/940] lr: 1.0000e-02 eta: 17:18:45 time: 0.5859 data_time: 0.3641 memory: 8322 grad_norm: 3.6784 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9498 loss: 1.9498 2022/07/31 18:31:59 - mmengine - INFO - Epoch(train) [7][100/940] lr: 1.0000e-02 eta: 17:18:44 time: 0.7481 data_time: 0.5341 memory: 8322 grad_norm: 3.6159 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9724 loss: 1.9724 2022/07/31 18:32:10 - mmengine - INFO - Epoch(train) [7][120/940] lr: 1.0000e-02 eta: 17:17:46 time: 0.5639 data_time: 0.3436 memory: 8322 grad_norm: 3.5605 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0501 loss: 2.0501 2022/07/31 18:32:25 - mmengine - INFO - Epoch(train) [7][140/940] lr: 1.0000e-02 eta: 17:17:35 time: 0.7152 data_time: 0.4917 memory: 8322 grad_norm: 3.6558 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.9459 loss: 1.9459 2022/07/31 18:32:36 - mmengine - INFO - Epoch(train) [7][160/940] lr: 1.0000e-02 eta: 17:16:40 time: 0.5699 data_time: 0.3552 memory: 8322 grad_norm: 3.7091 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.1057 loss: 2.1057 2022/07/31 18:32:50 - mmengine - INFO - Epoch(train) [7][180/940] lr: 1.0000e-02 eta: 17:16:29 time: 0.7163 data_time: 0.4589 memory: 8322 grad_norm: 3.7097 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9121 loss: 1.9121 2022/07/31 18:33:02 - mmengine - INFO - Epoch(train) [7][200/940] lr: 1.0000e-02 eta: 17:15:44 time: 0.6038 data_time: 0.3463 memory: 8322 grad_norm: 3.6401 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9709 loss: 1.9709 2022/07/31 18:33:15 - mmengine - INFO - Epoch(train) [7][220/940] lr: 1.0000e-02 eta: 17:15:12 time: 0.6437 data_time: 0.4114 memory: 8322 grad_norm: 3.6380 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 2.0621 loss: 2.0621 2022/07/31 18:33:27 - mmengine - INFO - Epoch(train) [7][240/940] lr: 1.0000e-02 eta: 17:14:17 time: 0.5680 data_time: 0.3471 memory: 8322 grad_norm: 3.7081 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0321 loss: 2.0321 2022/07/31 18:33:42 - mmengine - INFO - Epoch(train) [7][260/940] lr: 1.0000e-02 eta: 17:14:19 time: 0.7586 data_time: 0.5353 memory: 8322 grad_norm: 3.6766 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.0001 loss: 2.0001 2022/07/31 18:33:53 - mmengine - INFO - Epoch(train) [7][280/940] lr: 1.0000e-02 eta: 17:13:26 time: 0.5743 data_time: 0.3354 memory: 8322 grad_norm: 3.7023 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8149 loss: 1.8149 2022/07/31 18:34:08 - mmengine - INFO - Epoch(train) [7][300/940] lr: 1.0000e-02 eta: 17:13:23 time: 0.7405 data_time: 0.5185 memory: 8322 grad_norm: 3.6098 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.9110 loss: 1.9110 2022/07/31 18:34:20 - mmengine - INFO - Epoch(train) [7][320/940] lr: 1.0000e-02 eta: 17:12:39 time: 0.6031 data_time: 0.3612 memory: 8322 grad_norm: 3.6659 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.8636 loss: 1.8636 2022/07/31 18:34:34 - mmengine - INFO - Epoch(train) [7][340/940] lr: 1.0000e-02 eta: 17:12:20 time: 0.6876 data_time: 0.4467 memory: 8322 grad_norm: 3.7360 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9447 loss: 1.9447 2022/07/31 18:34:45 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:34:45 - mmengine - INFO - Epoch(train) [7][360/940] lr: 1.0000e-02 eta: 17:11:21 time: 0.5505 data_time: 0.3098 memory: 8322 grad_norm: 3.6978 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9440 loss: 1.9440 2022/07/31 18:35:01 - mmengine - INFO - Epoch(train) [7][380/940] lr: 1.0000e-02 eta: 17:11:31 time: 0.7851 data_time: 0.5326 memory: 8322 grad_norm: 3.6381 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.8644 loss: 1.8644 2022/07/31 18:35:12 - mmengine - INFO - Epoch(train) [7][400/940] lr: 1.0000e-02 eta: 17:10:43 time: 0.5872 data_time: 0.3554 memory: 8322 grad_norm: 3.6452 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9384 loss: 1.9384 2022/07/31 18:35:26 - mmengine - INFO - Epoch(train) [7][420/940] lr: 1.0000e-02 eta: 17:10:26 time: 0.6946 data_time: 0.4605 memory: 8322 grad_norm: 3.6500 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.9728 loss: 1.9728 2022/07/31 18:35:37 - mmengine - INFO - Epoch(train) [7][440/940] lr: 1.0000e-02 eta: 17:09:27 time: 0.5461 data_time: 0.2896 memory: 8322 grad_norm: 3.6158 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8735 loss: 1.8735 2022/07/31 18:35:52 - mmengine - INFO - Epoch(train) [7][460/940] lr: 1.0000e-02 eta: 17:09:27 time: 0.7521 data_time: 0.4838 memory: 8322 grad_norm: 3.6256 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8938 loss: 1.8938 2022/07/31 18:36:03 - mmengine - INFO - Epoch(train) [7][480/940] lr: 1.0000e-02 eta: 17:08:21 time: 0.5225 data_time: 0.2941 memory: 8322 grad_norm: 3.6801 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 2.0084 loss: 2.0084 2022/07/31 18:36:17 - mmengine - INFO - Epoch(train) [7][500/940] lr: 1.0000e-02 eta: 17:08:12 time: 0.7198 data_time: 0.4473 memory: 8322 grad_norm: 3.6752 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.9446 loss: 1.9446 2022/07/31 18:36:29 - mmengine - INFO - Epoch(train) [7][520/940] lr: 1.0000e-02 eta: 17:07:23 time: 0.5768 data_time: 0.3259 memory: 8322 grad_norm: 3.6915 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0528 loss: 2.0528 2022/07/31 18:36:44 - mmengine - INFO - Epoch(train) [7][540/940] lr: 1.0000e-02 eta: 17:07:20 time: 0.7427 data_time: 0.4727 memory: 8322 grad_norm: 3.7524 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 2.0224 loss: 2.0224 2022/07/31 18:36:55 - mmengine - INFO - Epoch(train) [7][560/940] lr: 1.0000e-02 eta: 17:06:27 time: 0.5631 data_time: 0.3347 memory: 8322 grad_norm: 3.6710 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.0011 loss: 2.0011 2022/07/31 18:37:10 - mmengine - INFO - Epoch(train) [7][580/940] lr: 1.0000e-02 eta: 17:06:34 time: 0.7780 data_time: 0.5247 memory: 8322 grad_norm: 3.7373 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0964 loss: 2.0964 2022/07/31 18:37:22 - mmengine - INFO - Epoch(train) [7][600/940] lr: 1.0000e-02 eta: 17:05:51 time: 0.5978 data_time: 0.3450 memory: 8322 grad_norm: 3.7275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0445 loss: 2.0445 2022/07/31 18:37:35 - mmengine - INFO - Epoch(train) [7][620/940] lr: 1.0000e-02 eta: 17:05:23 time: 0.6491 data_time: 0.4026 memory: 8322 grad_norm: 3.6437 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 1.9507 loss: 1.9507 2022/07/31 18:37:47 - mmengine - INFO - Epoch(train) [7][640/940] lr: 1.0000e-02 eta: 17:04:30 time: 0.5616 data_time: 0.2927 memory: 8322 grad_norm: 3.7489 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 2.0282 loss: 2.0282 2022/07/31 18:38:02 - mmengine - INFO - Epoch(train) [7][660/940] lr: 1.0000e-02 eta: 17:04:37 time: 0.7772 data_time: 0.5127 memory: 8322 grad_norm: 3.6778 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.8569 loss: 1.8569 2022/07/31 18:38:13 - mmengine - INFO - Epoch(train) [7][680/940] lr: 1.0000e-02 eta: 17:03:39 time: 0.5431 data_time: 0.2921 memory: 8322 grad_norm: 3.6374 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.8802 loss: 1.8802 2022/07/31 18:38:35 - mmengine - INFO - Epoch(train) [7][700/940] lr: 1.0000e-02 eta: 17:05:10 time: 1.0797 data_time: 0.8273 memory: 8322 grad_norm: 3.6341 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/07/31 18:38:49 - mmengine - INFO - Epoch(train) [7][720/940] lr: 1.0000e-02 eta: 17:05:02 time: 0.7230 data_time: 0.3161 memory: 8322 grad_norm: 3.6910 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.9283 loss: 1.9283 2022/07/31 18:39:02 - mmengine - INFO - Epoch(train) [7][740/940] lr: 1.0000e-02 eta: 17:04:39 time: 0.6704 data_time: 0.2144 memory: 8322 grad_norm: 3.6639 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0177 loss: 2.0177 2022/07/31 18:39:14 - mmengine - INFO - Epoch(train) [7][760/940] lr: 1.0000e-02 eta: 17:03:49 time: 0.5718 data_time: 0.2816 memory: 8322 grad_norm: 3.6636 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.8929 loss: 1.8929 2022/07/31 18:39:33 - mmengine - INFO - Epoch(train) [7][780/940] lr: 1.0000e-02 eta: 17:04:49 time: 0.9707 data_time: 0.7283 memory: 8322 grad_norm: 3.7273 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9769 loss: 1.9769 2022/07/31 18:39:48 - mmengine - INFO - Epoch(train) [7][800/940] lr: 1.0000e-02 eta: 17:04:41 time: 0.7250 data_time: 0.0878 memory: 8322 grad_norm: 3.7358 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0090 loss: 2.0090 2022/07/31 18:39:59 - mmengine - INFO - Epoch(train) [7][820/940] lr: 1.0000e-02 eta: 17:03:47 time: 0.5560 data_time: 0.0365 memory: 8322 grad_norm: 3.6726 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.9269 loss: 1.9269 2022/07/31 18:40:14 - mmengine - INFO - Epoch(train) [7][840/940] lr: 1.0000e-02 eta: 17:03:51 time: 0.7683 data_time: 0.0280 memory: 8322 grad_norm: 3.6628 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.9030 loss: 1.9030 2022/07/31 18:40:25 - mmengine - INFO - Epoch(train) [7][860/940] lr: 1.0000e-02 eta: 17:02:58 time: 0.5543 data_time: 0.0416 memory: 8322 grad_norm: 3.6839 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.9260 loss: 1.9260 2022/07/31 18:40:42 - mmengine - INFO - Epoch(train) [7][880/940] lr: 1.0000e-02 eta: 17:03:17 time: 0.8271 data_time: 0.0308 memory: 8322 grad_norm: 3.6888 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.9456 loss: 1.9456 2022/07/31 18:40:56 - mmengine - INFO - Epoch(train) [7][900/940] lr: 1.0000e-02 eta: 17:03:03 time: 0.7011 data_time: 0.0378 memory: 8322 grad_norm: 3.7333 top1_acc: 0.3438 top5_acc: 0.5938 loss_cls: 2.0725 loss: 2.0725 2022/07/31 18:41:09 - mmengine - INFO - Epoch(train) [7][920/940] lr: 1.0000e-02 eta: 17:02:32 time: 0.6377 data_time: 0.0425 memory: 8322 grad_norm: 3.7290 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1075 loss: 2.1075 2022/07/31 18:41:21 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:41:21 - mmengine - INFO - Epoch(train) [7][940/940] lr: 1.0000e-02 eta: 17:01:55 time: 0.6166 data_time: 0.0871 memory: 8322 grad_norm: 3.7874 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.9787 loss: 1.9787 2022/07/31 18:41:35 - mmengine - INFO - Epoch(val) [7][20/78] eta: 0:00:41 time: 0.7162 data_time: 0.6553 memory: 1463 2022/07/31 18:41:43 - mmengine - INFO - Epoch(val) [7][40/78] eta: 0:00:14 time: 0.3942 data_time: 0.3323 memory: 1463 2022/07/31 18:41:56 - mmengine - INFO - Epoch(val) [7][60/78] eta: 0:00:11 time: 0.6411 data_time: 0.5788 memory: 1463 2022/07/31 18:42:08 - mmengine - INFO - Epoch(val) [7][78/78] acc/top1: 0.6070 acc/top5: 0.8361 acc/mean1: 0.6069 2022/07/31 18:42:08 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/07/31 18:42:09 - mmengine - INFO - The best checkpoint with 0.6070 acc/top1 at 8 epoch is saved to best_acc/top1_epoch_8.pth. 2022/07/31 18:42:26 - mmengine - INFO - Epoch(train) [8][20/940] lr: 1.0000e-02 eta: 17:02:25 time: 0.8672 data_time: 0.3705 memory: 8322 grad_norm: 3.5902 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8397 loss: 1.8397 2022/07/31 18:42:40 - mmengine - INFO - Epoch(train) [8][40/940] lr: 1.0000e-02 eta: 17:02:11 time: 0.7027 data_time: 0.0301 memory: 8322 grad_norm: 3.6385 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9592 loss: 1.9592 2022/07/31 18:42:53 - mmengine - INFO - Epoch(train) [8][60/940] lr: 1.0000e-02 eta: 17:01:43 time: 0.6465 data_time: 0.1848 memory: 8322 grad_norm: 3.6529 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8732 loss: 1.8732 2022/07/31 18:43:06 - mmengine - INFO - Epoch(train) [8][80/940] lr: 1.0000e-02 eta: 17:01:05 time: 0.6122 data_time: 0.1622 memory: 8322 grad_norm: 3.6606 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.9306 loss: 1.9306 2022/07/31 18:43:19 - mmengine - INFO - Epoch(train) [8][100/940] lr: 1.0000e-02 eta: 17:00:40 time: 0.6571 data_time: 0.2307 memory: 8322 grad_norm: 3.7132 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.8503 loss: 1.8503 2022/07/31 18:43:32 - mmengine - INFO - Epoch(train) [8][120/940] lr: 1.0000e-02 eta: 17:00:21 time: 0.6817 data_time: 0.1230 memory: 8322 grad_norm: 3.6531 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9768 loss: 1.9768 2022/07/31 18:43:44 - mmengine - INFO - Epoch(train) [8][140/940] lr: 1.0000e-02 eta: 16:59:34 time: 0.5762 data_time: 0.1334 memory: 8322 grad_norm: 3.7004 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8923 loss: 1.8923 2022/07/31 18:43:57 - mmengine - INFO - Epoch(train) [8][160/940] lr: 1.0000e-02 eta: 16:59:04 time: 0.6409 data_time: 0.1884 memory: 8322 grad_norm: 3.6859 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8215 loss: 1.8215 2022/07/31 18:44:10 - mmengine - INFO - Epoch(train) [8][180/940] lr: 1.0000e-02 eta: 16:58:47 time: 0.6860 data_time: 0.3475 memory: 8322 grad_norm: 3.6646 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7790 loss: 1.7790 2022/07/31 18:44:22 - mmengine - INFO - Epoch(train) [8][200/940] lr: 1.0000e-02 eta: 16:58:05 time: 0.5930 data_time: 0.1722 memory: 8322 grad_norm: 3.7263 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 2.0791 loss: 2.0791 2022/07/31 18:44:35 - mmengine - INFO - Epoch(train) [8][220/940] lr: 1.0000e-02 eta: 16:57:33 time: 0.6292 data_time: 0.2199 memory: 8322 grad_norm: 3.7646 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9417 loss: 1.9417 2022/07/31 18:44:48 - mmengine - INFO - Epoch(train) [8][240/940] lr: 1.0000e-02 eta: 16:57:07 time: 0.6534 data_time: 0.2040 memory: 8322 grad_norm: 3.7391 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8416 loss: 1.8416 2022/07/31 18:45:02 - mmengine - INFO - Epoch(train) [8][260/940] lr: 1.0000e-02 eta: 16:56:47 time: 0.6786 data_time: 0.3211 memory: 8322 grad_norm: 3.6928 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8701 loss: 1.8701 2022/07/31 18:45:15 - mmengine - INFO - Epoch(train) [8][280/940] lr: 1.0000e-02 eta: 16:56:22 time: 0.6545 data_time: 0.1387 memory: 8322 grad_norm: 3.7469 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 2.0635 loss: 2.0635 2022/07/31 18:45:27 - mmengine - INFO - Epoch(train) [8][300/940] lr: 1.0000e-02 eta: 16:55:43 time: 0.6028 data_time: 0.1551 memory: 8322 grad_norm: 3.6377 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.8890 loss: 1.8890 2022/07/31 18:45:41 - mmengine - INFO - Epoch(train) [8][320/940] lr: 1.0000e-02 eta: 16:55:37 time: 0.7325 data_time: 0.2323 memory: 8322 grad_norm: 3.6993 top1_acc: 0.5938 top5_acc: 0.6562 loss_cls: 1.9646 loss: 1.9646 2022/07/31 18:45:54 - mmengine - INFO - Epoch(train) [8][340/940] lr: 1.0000e-02 eta: 16:55:02 time: 0.6154 data_time: 0.0691 memory: 8322 grad_norm: 3.6457 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8374 loss: 1.8374 2022/07/31 18:46:06 - mmengine - INFO - Epoch(train) [8][360/940] lr: 1.0000e-02 eta: 16:54:33 time: 0.6392 data_time: 0.1802 memory: 8322 grad_norm: 3.6886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9539 loss: 1.9539 2022/07/31 18:46:19 - mmengine - INFO - Epoch(train) [8][380/940] lr: 1.0000e-02 eta: 16:54:04 time: 0.6385 data_time: 0.2622 memory: 8322 grad_norm: 3.7514 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.9929 loss: 1.9929 2022/07/31 18:46:31 - mmengine - INFO - Epoch(train) [8][400/940] lr: 1.0000e-02 eta: 16:53:28 time: 0.6105 data_time: 0.2569 memory: 8322 grad_norm: 3.6313 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7830 loss: 1.7830 2022/07/31 18:46:46 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:46:46 - mmengine - INFO - Epoch(train) [8][420/940] lr: 1.0000e-02 eta: 16:53:18 time: 0.7141 data_time: 0.2786 memory: 8322 grad_norm: 3.7269 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.9408 loss: 1.9408 2022/07/31 18:46:57 - mmengine - INFO - Epoch(train) [8][440/940] lr: 1.0000e-02 eta: 16:52:34 time: 0.5801 data_time: 0.0913 memory: 8322 grad_norm: 3.7041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9027 loss: 1.9027 2022/07/31 18:47:12 - mmengine - INFO - Epoch(train) [8][460/940] lr: 1.0000e-02 eta: 16:52:29 time: 0.7333 data_time: 0.1865 memory: 8322 grad_norm: 3.7141 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.7882 loss: 1.7882 2022/07/31 18:47:23 - mmengine - INFO - Epoch(train) [8][480/940] lr: 1.0000e-02 eta: 16:51:43 time: 0.5696 data_time: 0.1301 memory: 8322 grad_norm: 3.7375 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8965 loss: 1.8965 2022/07/31 18:47:37 - mmengine - INFO - Epoch(train) [8][500/940] lr: 1.0000e-02 eta: 16:51:30 time: 0.6993 data_time: 0.1515 memory: 8322 grad_norm: 3.7407 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0477 loss: 2.0477 2022/07/31 18:47:49 - mmengine - INFO - Epoch(train) [8][520/940] lr: 1.0000e-02 eta: 16:50:45 time: 0.5748 data_time: 0.0879 memory: 8322 grad_norm: 3.6920 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.9368 loss: 1.9368 2022/07/31 18:48:02 - mmengine - INFO - Epoch(train) [8][540/940] lr: 1.0000e-02 eta: 16:50:24 time: 0.6693 data_time: 0.1864 memory: 8322 grad_norm: 3.7405 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9064 loss: 1.9064 2022/07/31 18:48:14 - mmengine - INFO - Epoch(train) [8][560/940] lr: 1.0000e-02 eta: 16:49:45 time: 0.5916 data_time: 0.1442 memory: 8322 grad_norm: 3.6470 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.9516 loss: 1.9516 2022/07/31 18:48:27 - mmengine - INFO - Epoch(train) [8][580/940] lr: 1.0000e-02 eta: 16:49:22 time: 0.6609 data_time: 0.2072 memory: 8322 grad_norm: 3.7427 top1_acc: 0.2500 top5_acc: 0.6562 loss_cls: 1.9978 loss: 1.9978 2022/07/31 18:48:39 - mmengine - INFO - Epoch(train) [8][600/940] lr: 1.0000e-02 eta: 16:48:47 time: 0.6097 data_time: 0.1759 memory: 8322 grad_norm: 3.6681 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.8540 loss: 1.8540 2022/07/31 18:48:53 - mmengine - INFO - Epoch(train) [8][620/940] lr: 1.0000e-02 eta: 16:48:26 time: 0.6701 data_time: 0.2199 memory: 8322 grad_norm: 3.7289 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 2.0065 loss: 2.0065 2022/07/31 18:49:05 - mmengine - INFO - Epoch(train) [8][640/940] lr: 1.0000e-02 eta: 16:47:47 time: 0.5933 data_time: 0.1348 memory: 8322 grad_norm: 3.6786 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 1.9761 loss: 1.9761 2022/07/31 18:49:18 - mmengine - INFO - Epoch(train) [8][660/940] lr: 1.0000e-02 eta: 16:47:28 time: 0.6738 data_time: 0.1438 memory: 8322 grad_norm: 3.6929 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8465 loss: 1.8465 2022/07/31 18:49:31 - mmengine - INFO - Epoch(train) [8][680/940] lr: 1.0000e-02 eta: 16:46:59 time: 0.6343 data_time: 0.1202 memory: 8322 grad_norm: 3.6965 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8994 loss: 1.8994 2022/07/31 18:49:43 - mmengine - INFO - Epoch(train) [8][700/940] lr: 1.0000e-02 eta: 16:46:28 time: 0.6247 data_time: 0.1947 memory: 8322 grad_norm: 3.6887 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.9997 loss: 1.9997 2022/07/31 18:49:57 - mmengine - INFO - Epoch(train) [8][720/940] lr: 1.0000e-02 eta: 16:46:04 time: 0.6557 data_time: 0.2440 memory: 8322 grad_norm: 3.7284 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.9622 loss: 1.9622 2022/07/31 18:50:10 - mmengine - INFO - Epoch(train) [8][740/940] lr: 1.0000e-02 eta: 16:45:46 time: 0.6765 data_time: 0.1497 memory: 8322 grad_norm: 3.6566 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7633 loss: 1.7633 2022/07/31 18:50:23 - mmengine - INFO - Epoch(train) [8][760/940] lr: 1.0000e-02 eta: 16:45:22 time: 0.6542 data_time: 0.2234 memory: 8322 grad_norm: 3.6921 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.9036 loss: 1.9036 2022/07/31 18:50:36 - mmengine - INFO - Epoch(train) [8][780/940] lr: 1.0000e-02 eta: 16:44:54 time: 0.6370 data_time: 0.2401 memory: 8322 grad_norm: 3.7417 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.9389 loss: 1.9389 2022/07/31 18:50:49 - mmengine - INFO - Epoch(train) [8][800/940] lr: 1.0000e-02 eta: 16:44:35 time: 0.6738 data_time: 0.3034 memory: 8322 grad_norm: 3.6388 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9944 loss: 1.9944 2022/07/31 18:51:02 - mmengine - INFO - Epoch(train) [8][820/940] lr: 1.0000e-02 eta: 16:44:07 time: 0.6362 data_time: 0.2483 memory: 8322 grad_norm: 3.6960 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.8751 loss: 1.8751 2022/07/31 18:51:15 - mmengine - INFO - Epoch(train) [8][840/940] lr: 1.0000e-02 eta: 16:43:46 time: 0.6637 data_time: 0.4017 memory: 8322 grad_norm: 3.7433 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8296 loss: 1.8296 2022/07/31 18:51:26 - mmengine - INFO - Epoch(train) [8][860/940] lr: 1.0000e-02 eta: 16:42:58 time: 0.5498 data_time: 0.2869 memory: 8322 grad_norm: 3.7711 top1_acc: 0.4688 top5_acc: 0.5938 loss_cls: 2.0992 loss: 2.0992 2022/07/31 18:51:41 - mmengine - INFO - Epoch(train) [8][880/940] lr: 1.0000e-02 eta: 16:42:49 time: 0.7183 data_time: 0.4546 memory: 8322 grad_norm: 3.7205 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8549 loss: 1.8549 2022/07/31 18:51:53 - mmengine - INFO - Epoch(train) [8][900/940] lr: 1.0000e-02 eta: 16:42:16 time: 0.6115 data_time: 0.2466 memory: 8322 grad_norm: 3.6825 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8773 loss: 1.8773 2022/07/31 18:52:07 - mmengine - INFO - Epoch(train) [8][920/940] lr: 1.0000e-02 eta: 16:42:07 time: 0.7180 data_time: 0.4098 memory: 8322 grad_norm: 3.6593 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.7741 loss: 1.7741 2022/07/31 18:52:17 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:52:17 - mmengine - INFO - Epoch(train) [8][940/940] lr: 1.0000e-02 eta: 16:41:08 time: 0.4988 data_time: 0.2072 memory: 8322 grad_norm: 3.7919 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.1044 loss: 2.1044 2022/07/31 18:52:31 - mmengine - INFO - Epoch(val) [8][20/78] eta: 0:00:38 time: 0.6674 data_time: 0.6010 memory: 1463 2022/07/31 18:52:39 - mmengine - INFO - Epoch(val) [8][40/78] eta: 0:00:16 time: 0.4316 data_time: 0.3707 memory: 1463 2022/07/31 18:52:52 - mmengine - INFO - Epoch(val) [8][60/78] eta: 0:00:11 time: 0.6593 data_time: 0.5994 memory: 1463 2022/07/31 18:53:03 - mmengine - INFO - Epoch(val) [8][78/78] acc/top1: 0.5968 acc/top5: 0.8274 acc/mean1: 0.5966 2022/07/31 18:53:20 - mmengine - INFO - Epoch(train) [9][20/940] lr: 1.0000e-02 eta: 16:41:32 time: 0.8576 data_time: 0.4960 memory: 8322 grad_norm: 3.6496 top1_acc: 0.2812 top5_acc: 0.7188 loss_cls: 1.8477 loss: 1.8477 2022/07/31 18:53:32 - mmengine - INFO - Epoch(train) [9][40/940] lr: 1.0000e-02 eta: 16:40:50 time: 0.5731 data_time: 0.2378 memory: 8322 grad_norm: 3.6877 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8333 loss: 1.8333 2022/07/31 18:53:48 - mmengine - INFO - Epoch(train) [9][60/940] lr: 1.0000e-02 eta: 16:41:02 time: 0.8083 data_time: 0.1523 memory: 8322 grad_norm: 3.6131 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7322 loss: 1.7322 2022/07/31 18:53:59 - mmengine - INFO - Epoch(train) [9][80/940] lr: 1.0000e-02 eta: 16:40:23 time: 0.5856 data_time: 0.0390 memory: 8322 grad_norm: 3.6681 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9519 loss: 1.9519 2022/07/31 18:54:14 - mmengine - INFO - Epoch(train) [9][100/940] lr: 1.0000e-02 eta: 16:40:23 time: 0.7530 data_time: 0.0388 memory: 8322 grad_norm: 3.7297 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.8020 loss: 1.8020 2022/07/31 18:54:25 - mmengine - INFO - Epoch(train) [9][120/940] lr: 1.0000e-02 eta: 16:39:36 time: 0.5482 data_time: 0.0314 memory: 8322 grad_norm: 3.7030 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 2.0354 loss: 2.0354 2022/07/31 18:54:39 - mmengine - INFO - Epoch(train) [9][140/940] lr: 1.0000e-02 eta: 16:39:23 time: 0.7008 data_time: 0.0421 memory: 8322 grad_norm: 3.7995 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.8634 loss: 1.8634 2022/07/31 18:54:52 - mmengine - INFO - Epoch(train) [9][160/940] lr: 1.0000e-02 eta: 16:38:50 time: 0.6103 data_time: 0.0400 memory: 8322 grad_norm: 3.6630 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.8572 loss: 1.8572 2022/07/31 18:55:05 - mmengine - INFO - Epoch(train) [9][180/940] lr: 1.0000e-02 eta: 16:38:29 time: 0.6598 data_time: 0.0469 memory: 8322 grad_norm: 3.6546 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8885 loss: 1.8885 2022/07/31 18:55:17 - mmengine - INFO - Epoch(train) [9][200/940] lr: 1.0000e-02 eta: 16:37:59 time: 0.6223 data_time: 0.0390 memory: 8322 grad_norm: 3.7060 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.8134 loss: 1.8134 2022/07/31 18:55:31 - mmengine - INFO - Epoch(train) [9][220/940] lr: 1.0000e-02 eta: 16:37:49 time: 0.7108 data_time: 0.0410 memory: 8322 grad_norm: 3.7154 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.7103 loss: 1.7103 2022/07/31 18:55:42 - mmengine - INFO - Epoch(train) [9][240/940] lr: 1.0000e-02 eta: 16:37:00 time: 0.5374 data_time: 0.0346 memory: 8322 grad_norm: 3.7105 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.8291 loss: 1.8291 2022/07/31 18:55:57 - mmengine - INFO - Epoch(train) [9][260/940] lr: 1.0000e-02 eta: 16:36:52 time: 0.7191 data_time: 0.0349 memory: 8322 grad_norm: 3.7568 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9949 loss: 1.9949 2022/07/31 18:56:08 - mmengine - INFO - Epoch(train) [9][280/940] lr: 1.0000e-02 eta: 16:36:11 time: 0.5731 data_time: 0.0391 memory: 8322 grad_norm: 3.7364 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.7956 loss: 1.7956 2022/07/31 18:56:22 - mmengine - INFO - Epoch(train) [9][300/940] lr: 1.0000e-02 eta: 16:35:56 time: 0.6897 data_time: 0.0584 memory: 8322 grad_norm: 3.7905 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0354 loss: 2.0354 2022/07/31 18:56:35 - mmengine - INFO - Epoch(train) [9][320/940] lr: 1.0000e-02 eta: 16:35:32 time: 0.6436 data_time: 0.0319 memory: 8322 grad_norm: 3.7426 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9875 loss: 1.9875 2022/07/31 18:56:48 - mmengine - INFO - Epoch(train) [9][340/940] lr: 1.0000e-02 eta: 16:35:10 time: 0.6577 data_time: 0.0413 memory: 8322 grad_norm: 3.6710 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0537 loss: 2.0537 2022/07/31 18:56:59 - mmengine - INFO - Epoch(train) [9][360/940] lr: 1.0000e-02 eta: 16:34:29 time: 0.5704 data_time: 0.0333 memory: 8322 grad_norm: 3.7382 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0194 loss: 2.0194 2022/07/31 18:57:15 - mmengine - INFO - Epoch(train) [9][380/940] lr: 1.0000e-02 eta: 16:34:33 time: 0.7724 data_time: 0.0352 memory: 8322 grad_norm: 3.6707 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.8594 loss: 1.8594 2022/07/31 18:57:26 - mmengine - INFO - Epoch(train) [9][400/940] lr: 1.0000e-02 eta: 16:33:49 time: 0.5568 data_time: 0.0373 memory: 8322 grad_norm: 3.7022 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.8861 loss: 1.8861 2022/07/31 18:57:39 - mmengine - INFO - Epoch(train) [9][420/940] lr: 1.0000e-02 eta: 16:33:32 time: 0.6757 data_time: 0.0351 memory: 8322 grad_norm: 3.7050 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.9165 loss: 1.9165 2022/07/31 18:57:51 - mmengine - INFO - Epoch(train) [9][440/940] lr: 1.0000e-02 eta: 16:32:52 time: 0.5746 data_time: 0.0357 memory: 8322 grad_norm: 3.7505 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8470 loss: 1.8470 2022/07/31 18:58:05 - mmengine - INFO - Epoch(train) [9][460/940] lr: 1.0000e-02 eta: 16:32:38 time: 0.6896 data_time: 0.0340 memory: 8322 grad_norm: 3.7425 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.7704 loss: 1.7704 2022/07/31 18:58:17 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 18:58:17 - mmengine - INFO - Epoch(train) [9][480/940] lr: 1.0000e-02 eta: 16:32:07 time: 0.6110 data_time: 0.0347 memory: 8322 grad_norm: 3.6871 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.8636 loss: 1.8636 2022/07/31 18:58:31 - mmengine - INFO - Epoch(train) [9][500/940] lr: 1.0000e-02 eta: 16:31:53 time: 0.6926 data_time: 0.0354 memory: 8322 grad_norm: 3.7093 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.8322 loss: 1.8322 2022/07/31 18:58:43 - mmengine - INFO - Epoch(train) [9][520/940] lr: 1.0000e-02 eta: 16:31:15 time: 0.5823 data_time: 0.0357 memory: 8322 grad_norm: 3.6357 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7749 loss: 1.7749 2022/07/31 18:58:57 - mmengine - INFO - Epoch(train) [9][540/940] lr: 1.0000e-02 eta: 16:31:09 time: 0.7254 data_time: 0.0391 memory: 8322 grad_norm: 3.7053 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9897 loss: 1.9897 2022/07/31 18:59:09 - mmengine - INFO - Epoch(train) [9][560/940] lr: 1.0000e-02 eta: 16:30:36 time: 0.6053 data_time: 0.0337 memory: 8322 grad_norm: 3.7193 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.8664 loss: 1.8664 2022/07/31 18:59:22 - mmengine - INFO - Epoch(train) [9][580/940] lr: 1.0000e-02 eta: 16:30:12 time: 0.6435 data_time: 0.0290 memory: 8322 grad_norm: 3.7700 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.8292 loss: 1.8292 2022/07/31 18:59:34 - mmengine - INFO - Epoch(train) [9][600/940] lr: 1.0000e-02 eta: 16:29:43 time: 0.6170 data_time: 0.0555 memory: 8322 grad_norm: 3.7947 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.8524 loss: 1.8524 2022/07/31 18:59:47 - mmengine - INFO - Epoch(train) [9][620/940] lr: 1.0000e-02 eta: 16:29:16 time: 0.6312 data_time: 0.1438 memory: 8322 grad_norm: 3.7443 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.9490 loss: 1.9490 2022/07/31 19:00:01 - mmengine - INFO - Epoch(train) [9][640/940] lr: 1.0000e-02 eta: 16:29:02 time: 0.6895 data_time: 0.1335 memory: 8322 grad_norm: 3.7279 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.8596 loss: 1.8596 2022/07/31 19:00:12 - mmengine - INFO - Epoch(train) [9][660/940] lr: 1.0000e-02 eta: 16:28:25 time: 0.5802 data_time: 0.0769 memory: 8322 grad_norm: 3.7493 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9069 loss: 1.9069 2022/07/31 19:00:26 - mmengine - INFO - Epoch(train) [9][680/940] lr: 1.0000e-02 eta: 16:28:12 time: 0.6938 data_time: 0.0803 memory: 8322 grad_norm: 3.7627 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.8207 loss: 1.8207 2022/07/31 19:00:39 - mmengine - INFO - Epoch(train) [9][700/940] lr: 1.0000e-02 eta: 16:27:43 time: 0.6204 data_time: 0.0355 memory: 8322 grad_norm: 3.6968 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8215 loss: 1.8215 2022/07/31 19:00:52 - mmengine - INFO - Epoch(train) [9][720/940] lr: 1.0000e-02 eta: 16:27:26 time: 0.6740 data_time: 0.0306 memory: 8322 grad_norm: 3.7766 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.8952 loss: 1.8952 2022/07/31 19:01:04 - mmengine - INFO - Epoch(train) [9][740/940] lr: 1.0000e-02 eta: 16:26:47 time: 0.5729 data_time: 0.0370 memory: 8322 grad_norm: 3.7647 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.9273 loss: 1.9273 2022/07/31 19:01:17 - mmengine - INFO - Epoch(train) [9][760/940] lr: 1.0000e-02 eta: 16:26:33 time: 0.6861 data_time: 0.0405 memory: 8322 grad_norm: 3.7686 top1_acc: 0.3438 top5_acc: 0.6562 loss_cls: 1.9543 loss: 1.9543 2022/07/31 19:01:29 - mmengine - INFO - Epoch(train) [9][780/940] lr: 1.0000e-02 eta: 16:25:58 time: 0.5882 data_time: 0.0346 memory: 8322 grad_norm: 3.6960 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8071 loss: 1.8071 2022/07/31 19:01:42 - mmengine - INFO - Epoch(train) [9][800/940] lr: 1.0000e-02 eta: 16:25:35 time: 0.6482 data_time: 0.0362 memory: 8322 grad_norm: 3.6770 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8741 loss: 1.8741 2022/07/31 19:01:56 - mmengine - INFO - Epoch(train) [9][820/940] lr: 1.0000e-02 eta: 16:25:27 time: 0.7166 data_time: 0.0376 memory: 8322 grad_norm: 3.7220 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.8380 loss: 1.8380 2022/07/31 19:02:08 - mmengine - INFO - Epoch(train) [9][840/940] lr: 1.0000e-02 eta: 16:24:51 time: 0.5813 data_time: 0.0387 memory: 8322 grad_norm: 3.6910 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.7968 loss: 1.7968 2022/07/31 19:02:20 - mmengine - INFO - Epoch(train) [9][860/940] lr: 1.0000e-02 eta: 16:24:24 time: 0.6241 data_time: 0.0318 memory: 8322 grad_norm: 3.7170 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8202 loss: 1.8202 2022/07/31 19:02:35 - mmengine - INFO - Epoch(train) [9][880/940] lr: 1.0000e-02 eta: 16:24:18 time: 0.7290 data_time: 0.1053 memory: 8322 grad_norm: 3.8084 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7228 loss: 1.7228 2022/07/31 19:02:46 - mmengine - INFO - Epoch(train) [9][900/940] lr: 1.0000e-02 eta: 16:23:32 time: 0.5336 data_time: 0.1611 memory: 8322 grad_norm: 3.7512 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.8145 loss: 1.8145 2022/07/31 19:03:00 - mmengine - INFO - Epoch(train) [9][920/940] lr: 1.0000e-02 eta: 16:23:19 time: 0.6949 data_time: 0.1654 memory: 8322 grad_norm: 3.7130 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.7490 loss: 1.7490 2022/07/31 19:03:10 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:03:10 - mmengine - INFO - Epoch(train) [9][940/940] lr: 1.0000e-02 eta: 16:22:30 time: 0.5141 data_time: 0.1501 memory: 8322 grad_norm: 3.8800 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8850 loss: 1.8850 2022/07/31 19:03:10 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/07/31 19:03:25 - mmengine - INFO - Epoch(val) [9][20/78] eta: 0:00:39 time: 0.6843 data_time: 0.6232 memory: 1463 2022/07/31 19:03:33 - mmengine - INFO - Epoch(val) [9][40/78] eta: 0:00:16 time: 0.4386 data_time: 0.3780 memory: 1463 2022/07/31 19:03:46 - mmengine - INFO - Epoch(val) [9][60/78] eta: 0:00:11 time: 0.6499 data_time: 0.5869 memory: 1463 2022/07/31 19:03:56 - mmengine - INFO - Epoch(val) [9][78/78] acc/top1: 0.6174 acc/top5: 0.8430 acc/mean1: 0.6171 2022/07/31 19:03:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_8.pth is removed 2022/07/31 19:03:57 - mmengine - INFO - The best checkpoint with 0.6174 acc/top1 at 10 epoch is saved to best_acc/top1_epoch_10.pth. 2022/07/31 19:04:13 - mmengine - INFO - Epoch(train) [10][20/940] lr: 1.0000e-02 eta: 16:22:35 time: 0.7802 data_time: 0.5518 memory: 8322 grad_norm: 3.6602 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7529 loss: 1.7529 2022/07/31 19:04:24 - mmengine - INFO - Epoch(train) [10][40/940] lr: 1.0000e-02 eta: 16:21:52 time: 0.5465 data_time: 0.2251 memory: 8322 grad_norm: 3.7606 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8434 loss: 1.8434 2022/07/31 19:04:38 - mmengine - INFO - Epoch(train) [10][60/940] lr: 1.0000e-02 eta: 16:21:47 time: 0.7300 data_time: 0.1483 memory: 8322 grad_norm: 3.6600 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8030 loss: 1.8030 2022/07/31 19:04:50 - mmengine - INFO - Epoch(train) [10][80/940] lr: 1.0000e-02 eta: 16:21:11 time: 0.5808 data_time: 0.1077 memory: 8322 grad_norm: 3.7782 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6980 loss: 1.6980 2022/07/31 19:05:05 - mmengine - INFO - Epoch(train) [10][100/940] lr: 1.0000e-02 eta: 16:21:05 time: 0.7257 data_time: 0.0586 memory: 8322 grad_norm: 3.7075 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8381 loss: 1.8381 2022/07/31 19:05:16 - mmengine - INFO - Epoch(train) [10][120/940] lr: 1.0000e-02 eta: 16:20:33 time: 0.5985 data_time: 0.0393 memory: 8322 grad_norm: 3.7427 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7758 loss: 1.7758 2022/07/31 19:05:30 - mmengine - INFO - Epoch(train) [10][140/940] lr: 1.0000e-02 eta: 16:20:17 time: 0.6758 data_time: 0.0464 memory: 8322 grad_norm: 3.6546 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6104 loss: 1.6104 2022/07/31 19:05:41 - mmengine - INFO - Epoch(train) [10][160/940] lr: 1.0000e-02 eta: 16:19:40 time: 0.5730 data_time: 0.0447 memory: 8322 grad_norm: 3.6651 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.8994 loss: 1.8994 2022/07/31 19:05:57 - mmengine - INFO - Epoch(train) [10][180/940] lr: 1.0000e-02 eta: 16:19:47 time: 0.7951 data_time: 0.0968 memory: 8322 grad_norm: 3.7103 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9209 loss: 1.9209 2022/07/31 19:06:08 - mmengine - INFO - Epoch(train) [10][200/940] lr: 1.0000e-02 eta: 16:19:05 time: 0.5453 data_time: 0.0366 memory: 8322 grad_norm: 3.7669 top1_acc: 0.5625 top5_acc: 0.6562 loss_cls: 1.8162 loss: 1.8162 2022/07/31 19:06:23 - mmengine - INFO - Epoch(train) [10][220/940] lr: 1.0000e-02 eta: 16:19:04 time: 0.7510 data_time: 0.0364 memory: 8322 grad_norm: 3.6861 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6785 loss: 1.6785 2022/07/31 19:06:34 - mmengine - INFO - Epoch(train) [10][240/940] lr: 1.0000e-02 eta: 16:18:21 time: 0.5399 data_time: 0.0299 memory: 8322 grad_norm: 3.7303 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.7847 loss: 1.7847 2022/07/31 19:06:49 - mmengine - INFO - Epoch(train) [10][260/940] lr: 1.0000e-02 eta: 16:18:15 time: 0.7267 data_time: 0.0346 memory: 8322 grad_norm: 3.7377 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.8835 loss: 1.8835 2022/07/31 19:07:00 - mmengine - INFO - Epoch(train) [10][280/940] lr: 1.0000e-02 eta: 16:17:38 time: 0.5705 data_time: 0.0271 memory: 8322 grad_norm: 3.7571 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.8436 loss: 1.8436 2022/07/31 19:07:15 - mmengine - INFO - Epoch(train) [10][300/940] lr: 1.0000e-02 eta: 16:17:40 time: 0.7709 data_time: 0.0413 memory: 8322 grad_norm: 3.7570 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.7541 loss: 1.7541 2022/07/31 19:07:26 - mmengine - INFO - Epoch(train) [10][320/940] lr: 1.0000e-02 eta: 16:16:57 time: 0.5387 data_time: 0.0396 memory: 8322 grad_norm: 3.8041 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.7835 loss: 1.7835 2022/07/31 19:07:40 - mmengine - INFO - Epoch(train) [10][340/940] lr: 1.0000e-02 eta: 16:16:47 time: 0.7045 data_time: 0.0464 memory: 8322 grad_norm: 3.8011 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0732 loss: 2.0732 2022/07/31 19:07:52 - mmengine - INFO - Epoch(train) [10][360/940] lr: 1.0000e-02 eta: 16:16:12 time: 0.5804 data_time: 0.0288 memory: 8322 grad_norm: 3.7256 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.8877 loss: 1.8877 2022/07/31 19:08:06 - mmengine - INFO - Epoch(train) [10][380/940] lr: 1.0000e-02 eta: 16:16:03 time: 0.7087 data_time: 0.0355 memory: 8322 grad_norm: 3.7582 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7077 loss: 1.7077 2022/07/31 19:08:17 - mmengine - INFO - Epoch(train) [10][400/940] lr: 1.0000e-02 eta: 16:15:25 time: 0.5613 data_time: 0.0280 memory: 8322 grad_norm: 3.7449 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7882 loss: 1.7882 2022/07/31 19:08:36 - mmengine - INFO - Epoch(train) [10][420/940] lr: 1.0000e-02 eta: 16:15:55 time: 0.9193 data_time: 0.0326 memory: 8322 grad_norm: 3.7270 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7152 loss: 1.7152 2022/07/31 19:08:53 - mmengine - INFO - Epoch(train) [10][440/940] lr: 1.0000e-02 eta: 16:16:15 time: 0.8627 data_time: 0.0302 memory: 8322 grad_norm: 3.7797 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.8673 loss: 1.8673 2022/07/31 19:09:10 - mmengine - INFO - Epoch(train) [10][460/940] lr: 1.0000e-02 eta: 16:16:37 time: 0.8767 data_time: 0.0351 memory: 8322 grad_norm: 3.7102 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.8310 loss: 1.8310 2022/07/31 19:09:27 - mmengine - INFO - Epoch(train) [10][480/940] lr: 1.0000e-02 eta: 16:16:52 time: 0.8374 data_time: 0.0316 memory: 8322 grad_norm: 3.8128 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.8308 loss: 1.8308 2022/07/31 19:09:44 - mmengine - INFO - Epoch(train) [10][500/940] lr: 1.0000e-02 eta: 16:17:11 time: 0.8636 data_time: 0.0282 memory: 8322 grad_norm: 3.7781 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8831 loss: 1.8831 2022/07/31 19:10:00 - mmengine - INFO - Epoch(train) [10][520/940] lr: 1.0000e-02 eta: 16:17:13 time: 0.7733 data_time: 0.0588 memory: 8322 grad_norm: 3.7258 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7454 loss: 1.7454 2022/07/31 19:10:20 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:10:20 - mmengine - INFO - Epoch(train) [10][540/940] lr: 1.0000e-02 eta: 16:17:56 time: 0.9919 data_time: 0.1812 memory: 8322 grad_norm: 3.7768 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8683 loss: 1.8683 2022/07/31 19:10:30 - mmengine - INFO - Epoch(train) [10][560/940] lr: 1.0000e-02 eta: 16:17:13 time: 0.5352 data_time: 0.0343 memory: 8322 grad_norm: 3.6823 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7681 loss: 1.7681 2022/07/31 19:10:44 - mmengine - INFO - Epoch(train) [10][580/940] lr: 1.0000e-02 eta: 16:16:56 time: 0.6704 data_time: 0.0257 memory: 8322 grad_norm: 3.7767 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9196 loss: 1.9196 2022/07/31 19:10:57 - mmengine - INFO - Epoch(train) [10][600/940] lr: 1.0000e-02 eta: 16:16:34 time: 0.6490 data_time: 0.0392 memory: 8322 grad_norm: 3.7371 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8686 loss: 1.8686 2022/07/31 19:11:08 - mmengine - INFO - Epoch(train) [10][620/940] lr: 1.0000e-02 eta: 16:16:00 time: 0.5813 data_time: 0.0378 memory: 8322 grad_norm: 3.6947 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7181 loss: 1.7181 2022/07/31 19:11:22 - mmengine - INFO - Epoch(train) [10][640/940] lr: 1.0000e-02 eta: 16:15:43 time: 0.6709 data_time: 0.0382 memory: 8322 grad_norm: 3.6719 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.7305 loss: 1.7305 2022/07/31 19:11:35 - mmengine - INFO - Epoch(train) [10][660/940] lr: 1.0000e-02 eta: 16:15:20 time: 0.6398 data_time: 0.0500 memory: 8322 grad_norm: 3.8136 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8828 loss: 1.8828 2022/07/31 19:11:48 - mmengine - INFO - Epoch(train) [10][680/940] lr: 1.0000e-02 eta: 16:14:59 time: 0.6484 data_time: 0.0400 memory: 8322 grad_norm: 3.7568 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8661 loss: 1.8661 2022/07/31 19:12:00 - mmengine - INFO - Epoch(train) [10][700/940] lr: 1.0000e-02 eta: 16:14:27 time: 0.5943 data_time: 0.0320 memory: 8322 grad_norm: 3.7722 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8294 loss: 1.8294 2022/07/31 19:12:13 - mmengine - INFO - Epoch(train) [10][720/940] lr: 1.0000e-02 eta: 16:14:12 time: 0.6823 data_time: 0.0427 memory: 8322 grad_norm: 3.7870 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.9185 loss: 1.9185 2022/07/31 19:12:26 - mmengine - INFO - Epoch(train) [10][740/940] lr: 1.0000e-02 eta: 16:13:48 time: 0.6323 data_time: 0.0350 memory: 8322 grad_norm: 3.8225 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8413 loss: 1.8413 2022/07/31 19:12:40 - mmengine - INFO - Epoch(train) [10][760/940] lr: 1.0000e-02 eta: 16:13:39 time: 0.7170 data_time: 0.0429 memory: 8322 grad_norm: 3.7587 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7254 loss: 1.7254 2022/07/31 19:12:52 - mmengine - INFO - Epoch(train) [10][780/940] lr: 1.0000e-02 eta: 16:13:03 time: 0.5687 data_time: 0.0815 memory: 8322 grad_norm: 3.8042 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.7514 loss: 1.7514 2022/07/31 19:13:05 - mmengine - INFO - Epoch(train) [10][800/940] lr: 1.0000e-02 eta: 16:12:44 time: 0.6564 data_time: 0.0708 memory: 8322 grad_norm: 3.8094 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9705 loss: 1.9705 2022/07/31 19:13:18 - mmengine - INFO - Epoch(train) [10][820/940] lr: 1.0000e-02 eta: 16:12:27 time: 0.6725 data_time: 0.0437 memory: 8322 grad_norm: 3.8032 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.8874 loss: 1.8874 2022/07/31 19:13:30 - mmengine - INFO - Epoch(train) [10][840/940] lr: 1.0000e-02 eta: 16:11:54 time: 0.5853 data_time: 0.0358 memory: 8322 grad_norm: 3.7888 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7749 loss: 1.7749 2022/07/31 19:13:45 - mmengine - INFO - Epoch(train) [10][860/940] lr: 1.0000e-02 eta: 16:11:51 time: 0.7487 data_time: 0.0350 memory: 8322 grad_norm: 3.7814 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9123 loss: 1.9123 2022/07/31 19:13:56 - mmengine - INFO - Epoch(train) [10][880/940] lr: 1.0000e-02 eta: 16:11:12 time: 0.5455 data_time: 0.0376 memory: 8322 grad_norm: 3.7863 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.7440 loss: 1.7440 2022/07/31 19:14:10 - mmengine - INFO - Epoch(train) [10][900/940] lr: 1.0000e-02 eta: 16:11:05 time: 0.7296 data_time: 0.0347 memory: 8322 grad_norm: 3.7137 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.8103 loss: 1.8103 2022/07/31 19:14:22 - mmengine - INFO - Epoch(train) [10][920/940] lr: 1.0000e-02 eta: 16:10:35 time: 0.5957 data_time: 0.0339 memory: 8322 grad_norm: 3.8309 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.8549 loss: 1.8549 2022/07/31 19:14:35 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:14:35 - mmengine - INFO - Epoch(train) [10][940/940] lr: 1.0000e-02 eta: 16:10:15 time: 0.6560 data_time: 0.0260 memory: 8322 grad_norm: 3.9444 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.7372 loss: 1.7372 2022/07/31 19:14:50 - mmengine - INFO - Epoch(val) [10][20/78] eta: 0:00:41 time: 0.7239 data_time: 0.6622 memory: 1463 2022/07/31 19:14:58 - mmengine - INFO - Epoch(val) [10][40/78] eta: 0:00:15 time: 0.4030 data_time: 0.3411 memory: 1463 2022/07/31 19:15:11 - mmengine - INFO - Epoch(val) [10][60/78] eta: 0:00:11 time: 0.6507 data_time: 0.5876 memory: 1463 2022/07/31 19:15:21 - mmengine - INFO - Epoch(val) [10][78/78] acc/top1: 0.6173 acc/top5: 0.8420 acc/mean1: 0.6172 2022/07/31 19:15:37 - mmengine - INFO - Epoch(train) [11][20/940] lr: 1.0000e-02 eta: 16:10:25 time: 0.8198 data_time: 0.4636 memory: 8322 grad_norm: 3.7603 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7291 loss: 1.7291 2022/07/31 19:15:49 - mmengine - INFO - Epoch(train) [11][40/940] lr: 1.0000e-02 eta: 16:09:51 time: 0.5728 data_time: 0.2034 memory: 8322 grad_norm: 3.7710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8241 loss: 1.8241 2022/07/31 19:16:03 - mmengine - INFO - Epoch(train) [11][60/940] lr: 1.0000e-02 eta: 16:09:36 time: 0.6843 data_time: 0.1310 memory: 8322 grad_norm: 3.7543 top1_acc: 0.3750 top5_acc: 0.5938 loss_cls: 1.8121 loss: 1.8121 2022/07/31 19:16:15 - mmengine - INFO - Epoch(train) [11][80/940] lr: 1.0000e-02 eta: 16:09:10 time: 0.6196 data_time: 0.0348 memory: 8322 grad_norm: 3.7964 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.8832 loss: 1.8832 2022/07/31 19:16:31 - mmengine - INFO - Epoch(train) [11][100/940] lr: 1.0000e-02 eta: 16:09:14 time: 0.7865 data_time: 0.0391 memory: 8322 grad_norm: 3.6961 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.7706 loss: 1.7706 2022/07/31 19:16:42 - mmengine - INFO - Epoch(train) [11][120/940] lr: 1.0000e-02 eta: 16:08:41 time: 0.5802 data_time: 0.0331 memory: 8322 grad_norm: 3.7630 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8674 loss: 1.8674 2022/07/31 19:16:57 - mmengine - INFO - Epoch(train) [11][140/940] lr: 1.0000e-02 eta: 16:08:36 time: 0.7359 data_time: 0.0351 memory: 8322 grad_norm: 3.7891 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7183 loss: 1.7183 2022/07/31 19:17:07 - mmengine - INFO - Epoch(train) [11][160/940] lr: 1.0000e-02 eta: 16:07:48 time: 0.4964 data_time: 0.0435 memory: 8322 grad_norm: 3.7652 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7951 loss: 1.7951 2022/07/31 19:17:21 - mmengine - INFO - Epoch(train) [11][180/940] lr: 1.0000e-02 eta: 16:07:38 time: 0.7073 data_time: 0.0313 memory: 8322 grad_norm: 3.8099 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0507 loss: 2.0507 2022/07/31 19:17:32 - mmengine - INFO - Epoch(train) [11][200/940] lr: 1.0000e-02 eta: 16:06:59 time: 0.5469 data_time: 0.0380 memory: 8322 grad_norm: 3.7137 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.6845 loss: 1.6845 2022/07/31 19:17:47 - mmengine - INFO - Epoch(train) [11][220/940] lr: 1.0000e-02 eta: 16:06:55 time: 0.7386 data_time: 0.0381 memory: 8322 grad_norm: 3.7864 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.8936 loss: 1.8936 2022/07/31 19:17:58 - mmengine - INFO - Epoch(train) [11][240/940] lr: 1.0000e-02 eta: 16:06:17 time: 0.5497 data_time: 0.0401 memory: 8322 grad_norm: 3.7454 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.8185 loss: 1.8185 2022/07/31 19:18:12 - mmengine - INFO - Epoch(train) [11][260/940] lr: 1.0000e-02 eta: 16:06:04 time: 0.6915 data_time: 0.0381 memory: 8322 grad_norm: 3.7536 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8997 loss: 1.8997 2022/07/31 19:18:23 - mmengine - INFO - Epoch(train) [11][280/940] lr: 1.0000e-02 eta: 16:05:30 time: 0.5700 data_time: 0.0459 memory: 8322 grad_norm: 3.7187 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6927 loss: 1.6927 2022/07/31 19:18:38 - mmengine - INFO - Epoch(train) [11][300/940] lr: 1.0000e-02 eta: 16:05:29 time: 0.7621 data_time: 0.0372 memory: 8322 grad_norm: 3.7498 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.6224 loss: 1.6224 2022/07/31 19:18:50 - mmengine - INFO - Epoch(train) [11][320/940] lr: 1.0000e-02 eta: 16:04:54 time: 0.5656 data_time: 0.0319 memory: 8322 grad_norm: 3.7218 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7392 loss: 1.7392 2022/07/31 19:19:05 - mmengine - INFO - Epoch(train) [11][340/940] lr: 1.0000e-02 eta: 16:04:56 time: 0.7747 data_time: 0.0323 memory: 8322 grad_norm: 3.7540 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7970 loss: 1.7970 2022/07/31 19:19:16 - mmengine - INFO - Epoch(train) [11][360/940] lr: 1.0000e-02 eta: 16:04:22 time: 0.5697 data_time: 0.0360 memory: 8322 grad_norm: 3.7679 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.9106 loss: 1.9106 2022/07/31 19:19:30 - mmengine - INFO - Epoch(train) [11][380/940] lr: 1.0000e-02 eta: 16:04:10 time: 0.6975 data_time: 0.0342 memory: 8322 grad_norm: 3.7401 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.8160 loss: 1.8160 2022/07/31 19:19:42 - mmengine - INFO - Epoch(train) [11][400/940] lr: 1.0000e-02 eta: 16:03:35 time: 0.5655 data_time: 0.0413 memory: 8322 grad_norm: 3.8303 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.7235 loss: 1.7235 2022/07/31 19:19:56 - mmengine - INFO - Epoch(train) [11][420/940] lr: 1.0000e-02 eta: 16:03:30 time: 0.7352 data_time: 0.0385 memory: 8322 grad_norm: 3.7970 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.8527 loss: 1.8527 2022/07/31 19:20:07 - mmengine - INFO - Epoch(train) [11][440/940] lr: 1.0000e-02 eta: 16:02:51 time: 0.5435 data_time: 0.0397 memory: 8322 grad_norm: 3.7892 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9015 loss: 1.9015 2022/07/31 19:20:20 - mmengine - INFO - Epoch(train) [11][460/940] lr: 1.0000e-02 eta: 16:02:33 time: 0.6562 data_time: 0.0417 memory: 8322 grad_norm: 3.7878 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7798 loss: 1.7798 2022/07/31 19:20:31 - mmengine - INFO - Epoch(train) [11][480/940] lr: 1.0000e-02 eta: 16:01:56 time: 0.5516 data_time: 0.0839 memory: 8322 grad_norm: 3.7385 top1_acc: 0.4062 top5_acc: 0.5938 loss_cls: 1.8976 loss: 1.8976 2022/07/31 19:20:46 - mmengine - INFO - Epoch(train) [11][500/940] lr: 1.0000e-02 eta: 16:01:53 time: 0.7509 data_time: 0.1799 memory: 8322 grad_norm: 3.7540 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.8200 loss: 1.8200 2022/07/31 19:20:58 - mmengine - INFO - Epoch(train) [11][520/940] lr: 1.0000e-02 eta: 16:01:20 time: 0.5718 data_time: 0.0489 memory: 8322 grad_norm: 3.7778 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7808 loss: 1.7808 2022/07/31 19:21:13 - mmengine - INFO - Epoch(train) [11][540/940] lr: 1.0000e-02 eta: 16:01:19 time: 0.7635 data_time: 0.1086 memory: 8322 grad_norm: 3.7799 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.9509 loss: 1.9509 2022/07/31 19:21:25 - mmengine - INFO - Epoch(train) [11][560/940] lr: 1.0000e-02 eta: 16:00:46 time: 0.5714 data_time: 0.1438 memory: 8322 grad_norm: 3.8280 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.7759 loss: 1.7759 2022/07/31 19:21:39 - mmengine - INFO - Epoch(train) [11][580/940] lr: 1.0000e-02 eta: 16:00:41 time: 0.7385 data_time: 0.1409 memory: 8322 grad_norm: 3.7645 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.8914 loss: 1.8914 2022/07/31 19:21:51 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:21:51 - mmengine - INFO - Epoch(train) [11][600/940] lr: 1.0000e-02 eta: 16:00:09 time: 0.5720 data_time: 0.1393 memory: 8322 grad_norm: 3.7203 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.7868 loss: 1.7868 2022/07/31 19:22:06 - mmengine - INFO - Epoch(train) [11][620/940] lr: 1.0000e-02 eta: 16:00:07 time: 0.7593 data_time: 0.2662 memory: 8322 grad_norm: 3.7476 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8847 loss: 1.8847 2022/07/31 19:22:16 - mmengine - INFO - Epoch(train) [11][640/940] lr: 1.0000e-02 eta: 15:59:25 time: 0.5159 data_time: 0.0717 memory: 8322 grad_norm: 3.7380 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7991 loss: 1.7991 2022/07/31 19:22:30 - mmengine - INFO - Epoch(train) [11][660/940] lr: 1.0000e-02 eta: 15:59:14 time: 0.7035 data_time: 0.0907 memory: 8322 grad_norm: 3.7424 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7832 loss: 1.7832 2022/07/31 19:22:43 - mmengine - INFO - Epoch(train) [11][680/940] lr: 1.0000e-02 eta: 15:58:48 time: 0.6119 data_time: 0.0342 memory: 8322 grad_norm: 3.7465 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.8633 loss: 1.8633 2022/07/31 19:22:55 - mmengine - INFO - Epoch(train) [11][700/940] lr: 1.0000e-02 eta: 15:58:26 time: 0.6324 data_time: 0.0388 memory: 8322 grad_norm: 3.8001 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.6406 loss: 1.6406 2022/07/31 19:23:06 - mmengine - INFO - Epoch(train) [11][720/940] lr: 1.0000e-02 eta: 15:57:51 time: 0.5565 data_time: 0.0460 memory: 8322 grad_norm: 3.7365 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6234 loss: 1.6234 2022/07/31 19:23:21 - mmengine - INFO - Epoch(train) [11][740/940] lr: 1.0000e-02 eta: 15:57:46 time: 0.7419 data_time: 0.0443 memory: 8322 grad_norm: 3.8259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7918 loss: 1.7918 2022/07/31 19:23:33 - mmengine - INFO - Epoch(train) [11][760/940] lr: 1.0000e-02 eta: 15:57:14 time: 0.5712 data_time: 0.0342 memory: 8322 grad_norm: 3.7574 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7631 loss: 1.7631 2022/07/31 19:23:46 - mmengine - INFO - Epoch(train) [11][780/940] lr: 1.0000e-02 eta: 15:57:01 time: 0.6911 data_time: 0.0406 memory: 8322 grad_norm: 3.7583 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.8595 loss: 1.8595 2022/07/31 19:24:00 - mmengine - INFO - Epoch(train) [11][800/940] lr: 1.0000e-02 eta: 15:56:44 time: 0.6657 data_time: 0.2876 memory: 8322 grad_norm: 3.8295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7807 loss: 1.7807 2022/07/31 19:24:12 - mmengine - INFO - Epoch(train) [11][820/940] lr: 1.0000e-02 eta: 15:56:20 time: 0.6199 data_time: 0.2319 memory: 8322 grad_norm: 3.9075 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.8117 loss: 1.8117 2022/07/31 19:24:26 - mmengine - INFO - Epoch(train) [11][840/940] lr: 1.0000e-02 eta: 15:56:10 time: 0.7109 data_time: 0.3217 memory: 8322 grad_norm: 3.8143 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8869 loss: 1.8869 2022/07/31 19:24:38 - mmengine - INFO - Epoch(train) [11][860/940] lr: 1.0000e-02 eta: 15:55:43 time: 0.6029 data_time: 0.2636 memory: 8322 grad_norm: 3.7797 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8654 loss: 1.8654 2022/07/31 19:24:52 - mmengine - INFO - Epoch(train) [11][880/940] lr: 1.0000e-02 eta: 15:55:29 time: 0.6797 data_time: 0.3559 memory: 8322 grad_norm: 3.7786 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7413 loss: 1.7413 2022/07/31 19:25:06 - mmengine - INFO - Epoch(train) [11][900/940] lr: 1.0000e-02 eta: 15:55:16 time: 0.6897 data_time: 0.1701 memory: 8322 grad_norm: 3.7834 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7689 loss: 1.7689 2022/07/31 19:25:17 - mmengine - INFO - Epoch(train) [11][920/940] lr: 1.0000e-02 eta: 15:54:42 time: 0.5628 data_time: 0.1708 memory: 8322 grad_norm: 3.8637 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7864 loss: 1.7864 2022/07/31 19:25:27 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:25:27 - mmengine - INFO - Epoch(train) [11][940/940] lr: 1.0000e-02 eta: 15:53:59 time: 0.5032 data_time: 0.1972 memory: 8322 grad_norm: 4.0109 top1_acc: 0.0000 top5_acc: 0.2857 loss_cls: 2.0683 loss: 2.0683 2022/07/31 19:25:41 - mmengine - INFO - Epoch(val) [11][20/78] eta: 0:00:38 time: 0.6716 data_time: 0.6055 memory: 1463 2022/07/31 19:25:49 - mmengine - INFO - Epoch(val) [11][40/78] eta: 0:00:16 time: 0.4389 data_time: 0.3606 memory: 1463 2022/07/31 19:26:02 - mmengine - INFO - Epoch(val) [11][60/78] eta: 0:00:11 time: 0.6479 data_time: 0.5854 memory: 1463 2022/07/31 19:26:13 - mmengine - INFO - Epoch(val) [11][78/78] acc/top1: 0.6178 acc/top5: 0.8421 acc/mean1: 0.6177 2022/07/31 19:26:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_10.pth is removed 2022/07/31 19:26:14 - mmengine - INFO - The best checkpoint with 0.6178 acc/top1 at 12 epoch is saved to best_acc/top1_epoch_12.pth. 2022/07/31 19:26:30 - mmengine - INFO - Epoch(train) [12][20/940] lr: 1.0000e-02 eta: 15:53:58 time: 0.7632 data_time: 0.5499 memory: 8322 grad_norm: 3.7859 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8859 loss: 1.8859 2022/07/31 19:26:41 - mmengine - INFO - Epoch(train) [12][40/940] lr: 1.0000e-02 eta: 15:53:29 time: 0.5889 data_time: 0.2475 memory: 8322 grad_norm: 3.7362 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5836 loss: 1.5836 2022/07/31 19:26:56 - mmengine - INFO - Epoch(train) [12][60/940] lr: 1.0000e-02 eta: 15:53:24 time: 0.7344 data_time: 0.2531 memory: 8322 grad_norm: 3.7599 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7959 loss: 1.7959 2022/07/31 19:27:07 - mmengine - INFO - Epoch(train) [12][80/940] lr: 1.0000e-02 eta: 15:52:46 time: 0.5337 data_time: 0.2567 memory: 8322 grad_norm: 3.8415 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.9510 loss: 1.9510 2022/07/31 19:27:21 - mmengine - INFO - Epoch(train) [12][100/940] lr: 1.0000e-02 eta: 15:52:35 time: 0.6997 data_time: 0.2942 memory: 8322 grad_norm: 3.7352 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.8015 loss: 1.8015 2022/07/31 19:27:32 - mmengine - INFO - Epoch(train) [12][120/940] lr: 1.0000e-02 eta: 15:52:02 time: 0.5654 data_time: 0.1640 memory: 8322 grad_norm: 3.7227 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7945 loss: 1.7945 2022/07/31 19:27:46 - mmengine - INFO - Epoch(train) [12][140/940] lr: 1.0000e-02 eta: 15:51:52 time: 0.7085 data_time: 0.2181 memory: 8322 grad_norm: 3.7679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7163 loss: 1.7163 2022/07/31 19:27:58 - mmengine - INFO - Epoch(train) [12][160/940] lr: 1.0000e-02 eta: 15:51:20 time: 0.5679 data_time: 0.0907 memory: 8322 grad_norm: 3.6834 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7508 loss: 1.7508 2022/07/31 19:28:12 - mmengine - INFO - Epoch(train) [12][180/940] lr: 1.0000e-02 eta: 15:51:14 time: 0.7279 data_time: 0.0354 memory: 8322 grad_norm: 3.6825 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.7621 loss: 1.7621 2022/07/31 19:28:23 - mmengine - INFO - Epoch(train) [12][200/940] lr: 1.0000e-02 eta: 15:50:38 time: 0.5466 data_time: 0.0408 memory: 8322 grad_norm: 3.7695 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8126 loss: 1.8126 2022/07/31 19:28:38 - mmengine - INFO - Epoch(train) [12][220/940] lr: 1.0000e-02 eta: 15:50:32 time: 0.7274 data_time: 0.0386 memory: 8322 grad_norm: 3.7775 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7064 loss: 1.7064 2022/07/31 19:28:49 - mmengine - INFO - Epoch(train) [12][240/940] lr: 1.0000e-02 eta: 15:50:00 time: 0.5706 data_time: 0.0334 memory: 8322 grad_norm: 3.7655 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8600 loss: 1.8600 2022/07/31 19:29:03 - mmengine - INFO - Epoch(train) [12][260/940] lr: 1.0000e-02 eta: 15:49:52 time: 0.7181 data_time: 0.0392 memory: 8322 grad_norm: 3.8000 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7149 loss: 1.7149 2022/07/31 19:29:15 - mmengine - INFO - Epoch(train) [12][280/940] lr: 1.0000e-02 eta: 15:49:20 time: 0.5674 data_time: 0.0340 memory: 8322 grad_norm: 3.8731 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7800 loss: 1.7800 2022/07/31 19:29:29 - mmengine - INFO - Epoch(train) [12][300/940] lr: 1.0000e-02 eta: 15:49:13 time: 0.7254 data_time: 0.0359 memory: 8322 grad_norm: 3.8216 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8784 loss: 1.8784 2022/07/31 19:29:40 - mmengine - INFO - Epoch(train) [12][320/940] lr: 1.0000e-02 eta: 15:48:40 time: 0.5596 data_time: 0.0452 memory: 8322 grad_norm: 3.8279 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8563 loss: 1.8563 2022/07/31 19:29:56 - mmengine - INFO - Epoch(train) [12][340/940] lr: 1.0000e-02 eta: 15:48:37 time: 0.7503 data_time: 0.0366 memory: 8322 grad_norm: 3.7797 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6843 loss: 1.6843 2022/07/31 19:30:07 - mmengine - INFO - Epoch(train) [12][360/940] lr: 1.0000e-02 eta: 15:48:04 time: 0.5621 data_time: 0.0395 memory: 8322 grad_norm: 3.7710 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8875 loss: 1.8875 2022/07/31 19:30:21 - mmengine - INFO - Epoch(train) [12][380/940] lr: 1.0000e-02 eta: 15:47:53 time: 0.7011 data_time: 0.0396 memory: 8322 grad_norm: 3.8054 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7886 loss: 1.7886 2022/07/31 19:30:32 - mmengine - INFO - Epoch(train) [12][400/940] lr: 1.0000e-02 eta: 15:47:18 time: 0.5433 data_time: 0.0392 memory: 8322 grad_norm: 3.8539 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7222 loss: 1.7222 2022/07/31 19:30:47 - mmengine - INFO - Epoch(train) [12][420/940] lr: 1.0000e-02 eta: 15:47:17 time: 0.7605 data_time: 0.0362 memory: 8322 grad_norm: 3.7639 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6787 loss: 1.6787 2022/07/31 19:30:58 - mmengine - INFO - Epoch(train) [12][440/940] lr: 1.0000e-02 eta: 15:46:43 time: 0.5563 data_time: 0.0389 memory: 8322 grad_norm: 3.8172 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6507 loss: 1.6507 2022/07/31 19:31:12 - mmengine - INFO - Epoch(train) [12][460/940] lr: 1.0000e-02 eta: 15:46:32 time: 0.6952 data_time: 0.0395 memory: 8322 grad_norm: 3.7157 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7912 loss: 1.7912 2022/07/31 19:31:23 - mmengine - INFO - Epoch(train) [12][480/940] lr: 1.0000e-02 eta: 15:46:01 time: 0.5708 data_time: 0.0361 memory: 8322 grad_norm: 3.7718 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6429 loss: 1.6429 2022/07/31 19:31:38 - mmengine - INFO - Epoch(train) [12][500/940] lr: 1.0000e-02 eta: 15:45:53 time: 0.7228 data_time: 0.0406 memory: 8322 grad_norm: 3.7737 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7268 loss: 1.7268 2022/07/31 19:31:50 - mmengine - INFO - Epoch(train) [12][520/940] lr: 1.0000e-02 eta: 15:45:29 time: 0.6092 data_time: 0.0400 memory: 8322 grad_norm: 3.8561 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7940 loss: 1.7940 2022/07/31 19:32:03 - mmengine - INFO - Epoch(train) [12][540/940] lr: 1.0000e-02 eta: 15:45:12 time: 0.6639 data_time: 0.0435 memory: 8322 grad_norm: 3.7714 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.6783 loss: 1.6783 2022/07/31 19:32:15 - mmengine - INFO - Epoch(train) [12][560/940] lr: 1.0000e-02 eta: 15:44:46 time: 0.6025 data_time: 0.0295 memory: 8322 grad_norm: 3.8414 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9274 loss: 1.9274 2022/07/31 19:32:29 - mmengine - INFO - Epoch(train) [12][580/940] lr: 1.0000e-02 eta: 15:44:34 time: 0.6932 data_time: 0.0378 memory: 8322 grad_norm: 3.7449 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.9810 loss: 1.9810 2022/07/31 19:32:40 - mmengine - INFO - Epoch(train) [12][600/940] lr: 1.0000e-02 eta: 15:44:03 time: 0.5662 data_time: 0.0393 memory: 8322 grad_norm: 3.8505 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7443 loss: 1.7443 2022/07/31 19:32:56 - mmengine - INFO - Epoch(train) [12][620/940] lr: 1.0000e-02 eta: 15:44:01 time: 0.7568 data_time: 0.0443 memory: 8322 grad_norm: 3.7879 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.5738 loss: 1.5738 2022/07/31 19:33:06 - mmengine - INFO - Epoch(train) [12][640/940] lr: 1.0000e-02 eta: 15:43:25 time: 0.5359 data_time: 0.0381 memory: 8322 grad_norm: 3.9111 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.7585 loss: 1.7585 2022/07/31 19:33:21 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:33:21 - mmengine - INFO - Epoch(train) [12][660/940] lr: 1.0000e-02 eta: 15:43:17 time: 0.7224 data_time: 0.0418 memory: 8322 grad_norm: 3.8219 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7642 loss: 1.7642 2022/07/31 19:33:32 - mmengine - INFO - Epoch(train) [12][680/940] lr: 1.0000e-02 eta: 15:42:46 time: 0.5610 data_time: 0.0357 memory: 8322 grad_norm: 3.8506 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9076 loss: 1.9076 2022/07/31 19:33:47 - mmengine - INFO - Epoch(train) [12][700/940] lr: 1.0000e-02 eta: 15:42:44 time: 0.7599 data_time: 0.0385 memory: 8322 grad_norm: 3.7675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7912 loss: 1.7912 2022/07/31 19:33:58 - mmengine - INFO - Epoch(train) [12][720/940] lr: 1.0000e-02 eta: 15:42:11 time: 0.5570 data_time: 0.0717 memory: 8322 grad_norm: 3.7513 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7267 loss: 1.7267 2022/07/31 19:34:12 - mmengine - INFO - Epoch(train) [12][740/940] lr: 1.0000e-02 eta: 15:42:00 time: 0.6977 data_time: 0.0357 memory: 8322 grad_norm: 3.8011 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9058 loss: 1.9058 2022/07/31 19:34:24 - mmengine - INFO - Epoch(train) [12][760/940] lr: 1.0000e-02 eta: 15:41:29 time: 0.5652 data_time: 0.0310 memory: 8322 grad_norm: 3.8045 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.6645 loss: 1.6645 2022/07/31 19:34:37 - mmengine - INFO - Epoch(train) [12][780/940] lr: 1.0000e-02 eta: 15:41:17 time: 0.6900 data_time: 0.0337 memory: 8322 grad_norm: 3.8034 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8286 loss: 1.8286 2022/07/31 19:34:49 - mmengine - INFO - Epoch(train) [12][800/940] lr: 1.0000e-02 eta: 15:40:51 time: 0.5990 data_time: 0.0669 memory: 8322 grad_norm: 3.8228 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7313 loss: 1.7313 2022/07/31 19:35:03 - mmengine - INFO - Epoch(train) [12][820/940] lr: 1.0000e-02 eta: 15:40:39 time: 0.6964 data_time: 0.2558 memory: 8322 grad_norm: 3.8054 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7958 loss: 1.7958 2022/07/31 19:35:17 - mmengine - INFO - Epoch(train) [12][840/940] lr: 1.0000e-02 eta: 15:40:24 time: 0.6706 data_time: 0.1362 memory: 8322 grad_norm: 3.8384 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.8139 loss: 1.8139 2022/07/31 19:35:30 - mmengine - INFO - Epoch(train) [12][860/940] lr: 1.0000e-02 eta: 15:40:08 time: 0.6619 data_time: 0.1604 memory: 8322 grad_norm: 3.8026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8806 loss: 1.8806 2022/07/31 19:35:42 - mmengine - INFO - Epoch(train) [12][880/940] lr: 1.0000e-02 eta: 15:39:44 time: 0.6109 data_time: 0.1317 memory: 8322 grad_norm: 3.8050 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7923 loss: 1.7923 2022/07/31 19:35:56 - mmengine - INFO - Epoch(train) [12][900/940] lr: 1.0000e-02 eta: 15:39:32 time: 0.6944 data_time: 0.0936 memory: 8322 grad_norm: 3.7748 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8951 loss: 1.8951 2022/07/31 19:36:07 - mmengine - INFO - Epoch(train) [12][920/940] lr: 1.0000e-02 eta: 15:39:01 time: 0.5637 data_time: 0.0292 memory: 8322 grad_norm: 3.8117 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.8608 loss: 1.8608 2022/07/31 19:36:20 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:36:20 - mmengine - INFO - Epoch(train) [12][940/940] lr: 1.0000e-02 eta: 15:38:37 time: 0.6101 data_time: 0.0874 memory: 8322 grad_norm: 3.9931 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 1.9161 loss: 1.9161 2022/07/31 19:36:20 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/07/31 19:36:35 - mmengine - INFO - Epoch(val) [12][20/78] eta: 0:00:40 time: 0.6927 data_time: 0.6163 memory: 1463 2022/07/31 19:36:44 - mmengine - INFO - Epoch(val) [12][40/78] eta: 0:00:15 time: 0.4190 data_time: 0.3588 memory: 1463 2022/07/31 19:36:57 - mmengine - INFO - Epoch(val) [12][60/78] eta: 0:00:11 time: 0.6528 data_time: 0.5917 memory: 1463 2022/07/31 19:37:07 - mmengine - INFO - Epoch(val) [12][78/78] acc/top1: 0.6092 acc/top5: 0.8302 acc/mean1: 0.6089 2022/07/31 19:37:24 - mmengine - INFO - Epoch(train) [13][20/940] lr: 1.0000e-02 eta: 15:38:47 time: 0.8395 data_time: 0.5907 memory: 8322 grad_norm: 3.7376 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7873 loss: 1.7873 2022/07/31 19:37:35 - mmengine - INFO - Epoch(train) [13][40/940] lr: 1.0000e-02 eta: 15:38:14 time: 0.5500 data_time: 0.3052 memory: 8322 grad_norm: 3.7123 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6055 loss: 1.6055 2022/07/31 19:37:50 - mmengine - INFO - Epoch(train) [13][60/940] lr: 1.0000e-02 eta: 15:38:11 time: 0.7515 data_time: 0.4367 memory: 8322 grad_norm: 3.8024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7697 loss: 1.7697 2022/07/31 19:38:01 - mmengine - INFO - Epoch(train) [13][80/940] lr: 1.0000e-02 eta: 15:37:40 time: 0.5628 data_time: 0.3417 memory: 8322 grad_norm: 3.7428 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7808 loss: 1.7808 2022/07/31 19:38:15 - mmengine - INFO - Epoch(train) [13][100/940] lr: 1.0000e-02 eta: 15:37:32 time: 0.7229 data_time: 0.4625 memory: 8322 grad_norm: 3.8750 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.7262 loss: 1.7262 2022/07/31 19:38:26 - mmengine - INFO - Epoch(train) [13][120/940] lr: 1.0000e-02 eta: 15:36:58 time: 0.5359 data_time: 0.3254 memory: 8322 grad_norm: 3.7868 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.7716 loss: 1.7716 2022/07/31 19:38:40 - mmengine - INFO - Epoch(train) [13][140/940] lr: 1.0000e-02 eta: 15:36:47 time: 0.6967 data_time: 0.4779 memory: 8322 grad_norm: 3.8094 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.7490 loss: 1.7490 2022/07/31 19:38:52 - mmengine - INFO - Epoch(train) [13][160/940] lr: 1.0000e-02 eta: 15:36:18 time: 0.5777 data_time: 0.3418 memory: 8322 grad_norm: 3.8598 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.8392 loss: 1.8392 2022/07/31 19:39:08 - mmengine - INFO - Epoch(train) [13][180/940] lr: 1.0000e-02 eta: 15:36:22 time: 0.7991 data_time: 0.5337 memory: 8322 grad_norm: 3.7786 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7067 loss: 1.7067 2022/07/31 19:39:19 - mmengine - INFO - Epoch(train) [13][200/940] lr: 1.0000e-02 eta: 15:35:53 time: 0.5736 data_time: 0.3212 memory: 8322 grad_norm: 3.8277 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7328 loss: 1.7328 2022/07/31 19:39:32 - mmengine - INFO - Epoch(train) [13][220/940] lr: 1.0000e-02 eta: 15:35:34 time: 0.6480 data_time: 0.3252 memory: 8322 grad_norm: 3.8419 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6276 loss: 1.6276 2022/07/31 19:39:47 - mmengine - INFO - Epoch(train) [13][240/940] lr: 1.0000e-02 eta: 15:35:29 time: 0.7393 data_time: 0.0292 memory: 8322 grad_norm: 3.7635 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.7576 loss: 1.7576 2022/07/31 19:39:59 - mmengine - INFO - Epoch(train) [13][260/940] lr: 1.0000e-02 eta: 15:35:04 time: 0.6032 data_time: 0.0348 memory: 8322 grad_norm: 3.8201 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7250 loss: 1.7250 2022/07/31 19:40:12 - mmengine - INFO - Epoch(train) [13][280/940] lr: 1.0000e-02 eta: 15:34:49 time: 0.6677 data_time: 0.0292 memory: 8322 grad_norm: 3.8310 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8995 loss: 1.8995 2022/07/31 19:40:23 - mmengine - INFO - Epoch(train) [13][300/940] lr: 1.0000e-02 eta: 15:34:19 time: 0.5636 data_time: 0.0483 memory: 8322 grad_norm: 3.8128 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.7506 loss: 1.7506 2022/07/31 19:40:39 - mmengine - INFO - Epoch(train) [13][320/940] lr: 1.0000e-02 eta: 15:34:18 time: 0.7714 data_time: 0.0545 memory: 8322 grad_norm: 3.8207 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 1.7779 loss: 1.7779 2022/07/31 19:40:50 - mmengine - INFO - Epoch(train) [13][340/940] lr: 1.0000e-02 eta: 15:33:48 time: 0.5658 data_time: 0.0545 memory: 8322 grad_norm: 3.7606 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.6123 loss: 1.6123 2022/07/31 19:41:05 - mmengine - INFO - Epoch(train) [13][360/940] lr: 1.0000e-02 eta: 15:33:44 time: 0.7484 data_time: 0.0268 memory: 8322 grad_norm: 3.8850 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8063 loss: 1.8063 2022/07/31 19:41:16 - mmengine - INFO - Epoch(train) [13][380/940] lr: 1.0000e-02 eta: 15:33:14 time: 0.5619 data_time: 0.0381 memory: 8322 grad_norm: 3.8093 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 1.8161 loss: 1.8161 2022/07/31 19:41:31 - mmengine - INFO - Epoch(train) [13][400/940] lr: 1.0000e-02 eta: 15:33:09 time: 0.7396 data_time: 0.0329 memory: 8322 grad_norm: 3.8537 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.8117 loss: 1.8117 2022/07/31 19:41:43 - mmengine - INFO - Epoch(train) [13][420/940] lr: 1.0000e-02 eta: 15:32:43 time: 0.5932 data_time: 0.0326 memory: 8322 grad_norm: 3.7950 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8027 loss: 1.8027 2022/07/31 19:41:58 - mmengine - INFO - Epoch(train) [13][440/940] lr: 1.0000e-02 eta: 15:32:36 time: 0.7289 data_time: 0.0350 memory: 8322 grad_norm: 3.8192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6593 loss: 1.6593 2022/07/31 19:42:10 - mmengine - INFO - Epoch(train) [13][460/940] lr: 1.0000e-02 eta: 15:32:16 time: 0.6360 data_time: 0.0396 memory: 8322 grad_norm: 3.7914 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.8824 loss: 1.8824 2022/07/31 19:42:26 - mmengine - INFO - Epoch(train) [13][480/940] lr: 1.0000e-02 eta: 15:32:15 time: 0.7694 data_time: 0.0330 memory: 8322 grad_norm: 3.8362 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.9958 loss: 1.9958 2022/07/31 19:42:36 - mmengine - INFO - Epoch(train) [13][500/940] lr: 1.0000e-02 eta: 15:31:40 time: 0.5243 data_time: 0.0368 memory: 8322 grad_norm: 3.8476 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.6600 loss: 1.6600 2022/07/31 19:42:50 - mmengine - INFO - Epoch(train) [13][520/940] lr: 1.0000e-02 eta: 15:31:29 time: 0.6955 data_time: 0.0339 memory: 8322 grad_norm: 3.7740 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6162 loss: 1.6162 2022/07/31 19:43:03 - mmengine - INFO - Epoch(train) [13][540/940] lr: 1.0000e-02 eta: 15:31:08 time: 0.6328 data_time: 0.0385 memory: 8322 grad_norm: 3.8418 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.7195 loss: 1.7195 2022/07/31 19:43:15 - mmengine - INFO - Epoch(train) [13][560/940] lr: 1.0000e-02 eta: 15:30:48 time: 0.6297 data_time: 0.0341 memory: 8322 grad_norm: 3.7419 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8090 loss: 1.8090 2022/07/31 19:43:30 - mmengine - INFO - Epoch(train) [13][580/940] lr: 1.0000e-02 eta: 15:30:40 time: 0.7190 data_time: 0.0327 memory: 8322 grad_norm: 3.8473 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.7018 loss: 1.7018 2022/07/31 19:43:41 - mmengine - INFO - Epoch(train) [13][600/940] lr: 1.0000e-02 eta: 15:30:12 time: 0.5808 data_time: 0.0396 memory: 8322 grad_norm: 3.7848 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7137 loss: 1.7137 2022/07/31 19:43:55 - mmengine - INFO - Epoch(train) [13][620/940] lr: 1.0000e-02 eta: 15:30:02 time: 0.7003 data_time: 0.0358 memory: 8322 grad_norm: 3.8492 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8147 loss: 1.8147 2022/07/31 19:44:07 - mmengine - INFO - Epoch(train) [13][640/940] lr: 1.0000e-02 eta: 15:29:35 time: 0.5825 data_time: 0.0372 memory: 8322 grad_norm: 3.8550 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8826 loss: 1.8826 2022/07/31 19:44:22 - mmengine - INFO - Epoch(train) [13][660/940] lr: 1.0000e-02 eta: 15:29:28 time: 0.7288 data_time: 0.0397 memory: 8322 grad_norm: 3.7950 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5685 loss: 1.5685 2022/07/31 19:44:33 - mmengine - INFO - Epoch(train) [13][680/940] lr: 1.0000e-02 eta: 15:29:01 time: 0.5807 data_time: 0.0362 memory: 8322 grad_norm: 3.8208 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.9015 loss: 1.9015 2022/07/31 19:44:47 - mmengine - INFO - Epoch(train) [13][700/940] lr: 1.0000e-02 eta: 15:28:50 time: 0.7031 data_time: 0.0466 memory: 8322 grad_norm: 3.7891 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8502 loss: 1.8502 2022/07/31 19:45:00 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:45:00 - mmengine - INFO - Epoch(train) [13][720/940] lr: 1.0000e-02 eta: 15:28:29 time: 0.6223 data_time: 0.0361 memory: 8322 grad_norm: 3.7758 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.6970 loss: 1.6970 2022/07/31 19:45:15 - mmengine - INFO - Epoch(train) [13][740/940] lr: 1.0000e-02 eta: 15:28:25 time: 0.7494 data_time: 0.0354 memory: 8322 grad_norm: 3.8426 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7273 loss: 1.7273 2022/07/31 19:45:26 - mmengine - INFO - Epoch(train) [13][760/940] lr: 1.0000e-02 eta: 15:27:53 time: 0.5455 data_time: 0.0373 memory: 8322 grad_norm: 3.9125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9313 loss: 1.9313 2022/07/31 19:45:40 - mmengine - INFO - Epoch(train) [13][780/940] lr: 1.0000e-02 eta: 15:27:47 time: 0.7317 data_time: 0.0393 memory: 8322 grad_norm: 3.8640 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7780 loss: 1.7780 2022/07/31 19:45:53 - mmengine - INFO - Epoch(train) [13][800/940] lr: 1.0000e-02 eta: 15:27:24 time: 0.6146 data_time: 0.0405 memory: 8322 grad_norm: 3.8208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6376 loss: 1.6376 2022/07/31 19:46:04 - mmengine - INFO - Epoch(train) [13][820/940] lr: 1.0000e-02 eta: 15:26:56 time: 0.5671 data_time: 0.0365 memory: 8322 grad_norm: 3.7527 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7384 loss: 1.7384 2022/07/31 19:46:20 - mmengine - INFO - Epoch(train) [13][840/940] lr: 1.0000e-02 eta: 15:26:56 time: 0.7817 data_time: 0.0667 memory: 8322 grad_norm: 3.8937 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8375 loss: 1.8375 2022/07/31 19:46:30 - mmengine - INFO - Epoch(train) [13][860/940] lr: 1.0000e-02 eta: 15:26:22 time: 0.5257 data_time: 0.0411 memory: 8322 grad_norm: 3.8050 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6638 loss: 1.6638 2022/07/31 19:46:44 - mmengine - INFO - Epoch(train) [13][880/940] lr: 1.0000e-02 eta: 15:26:13 time: 0.7131 data_time: 0.0356 memory: 8322 grad_norm: 3.8875 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7274 loss: 1.7274 2022/07/31 19:46:56 - mmengine - INFO - Epoch(train) [13][900/940] lr: 1.0000e-02 eta: 15:25:43 time: 0.5620 data_time: 0.0289 memory: 8322 grad_norm: 3.8322 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7697 loss: 1.7697 2022/07/31 19:47:10 - mmengine - INFO - Epoch(train) [13][920/940] lr: 1.0000e-02 eta: 15:25:33 time: 0.7057 data_time: 0.0356 memory: 8322 grad_norm: 3.8579 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.7682 loss: 1.7682 2022/07/31 19:47:20 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:47:20 - mmengine - INFO - Epoch(train) [13][940/940] lr: 1.0000e-02 eta: 15:24:57 time: 0.5114 data_time: 0.0224 memory: 8322 grad_norm: 3.9581 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 1.8201 loss: 1.8201 2022/07/31 19:47:34 - mmengine - INFO - Epoch(val) [13][20/78] eta: 0:00:39 time: 0.6796 data_time: 0.6139 memory: 1463 2022/07/31 19:47:42 - mmengine - INFO - Epoch(val) [13][40/78] eta: 0:00:16 time: 0.4370 data_time: 0.3747 memory: 1463 2022/07/31 19:47:55 - mmengine - INFO - Epoch(val) [13][60/78] eta: 0:00:11 time: 0.6549 data_time: 0.5922 memory: 1463 2022/07/31 19:48:06 - mmengine - INFO - Epoch(val) [13][78/78] acc/top1: 0.6329 acc/top5: 0.8537 acc/mean1: 0.6327 2022/07/31 19:48:06 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_12.pth is removed 2022/07/31 19:48:08 - mmengine - INFO - The best checkpoint with 0.6329 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/07/31 19:48:24 - mmengine - INFO - Epoch(train) [14][20/940] lr: 1.0000e-02 eta: 15:25:01 time: 0.8065 data_time: 0.5971 memory: 8322 grad_norm: 3.7688 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6907 loss: 1.6907 2022/07/31 19:48:36 - mmengine - INFO - Epoch(train) [14][40/940] lr: 1.0000e-02 eta: 15:24:33 time: 0.5734 data_time: 0.3816 memory: 8322 grad_norm: 3.8237 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6210 loss: 1.6210 2022/07/31 19:48:50 - mmengine - INFO - Epoch(train) [14][60/940] lr: 1.0000e-02 eta: 15:24:26 time: 0.7247 data_time: 0.5306 memory: 8322 grad_norm: 3.8421 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.7738 loss: 1.7738 2022/07/31 19:49:02 - mmengine - INFO - Epoch(train) [14][80/940] lr: 1.0000e-02 eta: 15:23:56 time: 0.5588 data_time: 0.3692 memory: 8322 grad_norm: 3.8609 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.7697 loss: 1.7697 2022/07/31 19:49:16 - mmengine - INFO - Epoch(train) [14][100/940] lr: 1.0000e-02 eta: 15:23:46 time: 0.7012 data_time: 0.5056 memory: 8322 grad_norm: 3.8228 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.7145 loss: 1.7145 2022/07/31 19:49:27 - mmengine - INFO - Epoch(train) [14][120/940] lr: 1.0000e-02 eta: 15:23:15 time: 0.5521 data_time: 0.3449 memory: 8322 grad_norm: 3.7689 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5802 loss: 1.5802 2022/07/31 19:49:41 - mmengine - INFO - Epoch(train) [14][140/940] lr: 1.0000e-02 eta: 15:23:08 time: 0.7283 data_time: 0.5109 memory: 8322 grad_norm: 3.8617 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7653 loss: 1.7653 2022/07/31 19:49:53 - mmengine - INFO - Epoch(train) [14][160/940] lr: 1.0000e-02 eta: 15:22:40 time: 0.5694 data_time: 0.3716 memory: 8322 grad_norm: 3.7888 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.7635 loss: 1.7635 2022/07/31 19:50:08 - mmengine - INFO - Epoch(train) [14][180/940] lr: 1.0000e-02 eta: 15:22:39 time: 0.7703 data_time: 0.5157 memory: 8322 grad_norm: 3.7845 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.8158 loss: 1.8158 2022/07/31 19:50:20 - mmengine - INFO - Epoch(train) [14][200/940] lr: 1.0000e-02 eta: 15:22:13 time: 0.5829 data_time: 0.3085 memory: 8322 grad_norm: 3.7619 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7639 loss: 1.7639 2022/07/31 19:50:33 - mmengine - INFO - Epoch(train) [14][220/940] lr: 1.0000e-02 eta: 15:22:01 time: 0.6887 data_time: 0.4432 memory: 8322 grad_norm: 3.8159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7017 loss: 1.7017 2022/07/31 19:50:44 - mmengine - INFO - Epoch(train) [14][240/940] lr: 1.0000e-02 eta: 15:21:27 time: 0.5259 data_time: 0.2728 memory: 8322 grad_norm: 3.8871 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.7709 loss: 1.7709 2022/07/31 19:50:59 - mmengine - INFO - Epoch(train) [14][260/940] lr: 1.0000e-02 eta: 15:21:21 time: 0.7354 data_time: 0.4839 memory: 8322 grad_norm: 3.9096 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6943 loss: 1.6943 2022/07/31 19:51:10 - mmengine - INFO - Epoch(train) [14][280/940] lr: 1.0000e-02 eta: 15:20:55 time: 0.5811 data_time: 0.3580 memory: 8322 grad_norm: 3.7936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6970 loss: 1.6970 2022/07/31 19:51:25 - mmengine - INFO - Epoch(train) [14][300/940] lr: 1.0000e-02 eta: 15:20:46 time: 0.7145 data_time: 0.5055 memory: 8322 grad_norm: 3.8129 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7030 loss: 1.7030 2022/07/31 19:51:36 - mmengine - INFO - Epoch(train) [14][320/940] lr: 1.0000e-02 eta: 15:20:22 time: 0.5978 data_time: 0.3289 memory: 8322 grad_norm: 3.8358 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7846 loss: 1.7846 2022/07/31 19:51:50 - mmengine - INFO - Epoch(train) [14][340/940] lr: 1.0000e-02 eta: 15:20:08 time: 0.6731 data_time: 0.4564 memory: 8322 grad_norm: 3.8493 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.8102 loss: 1.8102 2022/07/31 19:52:02 - mmengine - INFO - Epoch(train) [14][360/940] lr: 1.0000e-02 eta: 15:19:43 time: 0.5908 data_time: 0.3822 memory: 8322 grad_norm: 3.8360 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7811 loss: 1.7811 2022/07/31 19:52:16 - mmengine - INFO - Epoch(train) [14][380/940] lr: 1.0000e-02 eta: 15:19:34 time: 0.7117 data_time: 0.5004 memory: 8322 grad_norm: 3.7872 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6998 loss: 1.6998 2022/07/31 19:52:26 - mmengine - INFO - Epoch(train) [14][400/940] lr: 1.0000e-02 eta: 15:18:58 time: 0.5079 data_time: 0.3010 memory: 8322 grad_norm: 3.9435 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.9977 loss: 1.9977 2022/07/31 19:52:40 - mmengine - INFO - Epoch(train) [14][420/940] lr: 1.0000e-02 eta: 15:18:48 time: 0.6993 data_time: 0.4838 memory: 8322 grad_norm: 3.9716 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7670 loss: 1.7670 2022/07/31 19:52:52 - mmengine - INFO - Epoch(train) [14][440/940] lr: 1.0000e-02 eta: 15:18:24 time: 0.6007 data_time: 0.3509 memory: 8322 grad_norm: 3.8469 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7040 loss: 1.7040 2022/07/31 19:53:06 - mmengine - INFO - Epoch(train) [14][460/940] lr: 1.0000e-02 eta: 15:18:13 time: 0.6921 data_time: 0.4257 memory: 8322 grad_norm: 3.8478 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.6340 loss: 1.6340 2022/07/31 19:53:19 - mmengine - INFO - Epoch(train) [14][480/940] lr: 1.0000e-02 eta: 15:17:53 time: 0.6343 data_time: 0.2126 memory: 8322 grad_norm: 3.8559 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6271 loss: 1.6271 2022/07/31 19:53:31 - mmengine - INFO - Epoch(train) [14][500/940] lr: 1.0000e-02 eta: 15:17:33 time: 0.6259 data_time: 0.1730 memory: 8322 grad_norm: 3.8668 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7552 loss: 1.7552 2022/07/31 19:53:44 - mmengine - INFO - Epoch(train) [14][520/940] lr: 1.0000e-02 eta: 15:17:16 time: 0.6505 data_time: 0.1651 memory: 8322 grad_norm: 3.7873 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8302 loss: 1.8302 2022/07/31 19:53:59 - mmengine - INFO - Epoch(train) [14][540/940] lr: 1.0000e-02 eta: 15:17:13 time: 0.7556 data_time: 0.3849 memory: 8322 grad_norm: 3.8773 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7376 loss: 1.7376 2022/07/31 19:54:10 - mmengine - INFO - Epoch(train) [14][560/940] lr: 1.0000e-02 eta: 15:16:43 time: 0.5460 data_time: 0.2972 memory: 8322 grad_norm: 3.8138 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.7924 loss: 1.7924 2022/07/31 19:54:25 - mmengine - INFO - Epoch(train) [14][580/940] lr: 1.0000e-02 eta: 15:16:36 time: 0.7314 data_time: 0.4676 memory: 8322 grad_norm: 3.8798 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.7681 loss: 1.7681 2022/07/31 19:54:36 - mmengine - INFO - Epoch(train) [14][600/940] lr: 1.0000e-02 eta: 15:16:09 time: 0.5713 data_time: 0.3418 memory: 8322 grad_norm: 3.8097 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7768 loss: 1.7768 2022/07/31 19:54:51 - mmengine - INFO - Epoch(train) [14][620/940] lr: 1.0000e-02 eta: 15:16:03 time: 0.7388 data_time: 0.4797 memory: 8322 grad_norm: 3.9101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9007 loss: 1.9007 2022/07/31 19:55:01 - mmengine - INFO - Epoch(train) [14][640/940] lr: 1.0000e-02 eta: 15:15:28 time: 0.5043 data_time: 0.2056 memory: 8322 grad_norm: 3.8460 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7344 loss: 1.7344 2022/07/31 19:55:16 - mmengine - INFO - Epoch(train) [14][660/940] lr: 1.0000e-02 eta: 15:15:22 time: 0.7387 data_time: 0.3029 memory: 8322 grad_norm: 3.8860 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6579 loss: 1.6579 2022/07/31 19:55:27 - mmengine - INFO - Epoch(train) [14][680/940] lr: 1.0000e-02 eta: 15:14:53 time: 0.5569 data_time: 0.1975 memory: 8322 grad_norm: 3.8813 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.8007 loss: 1.8007 2022/07/31 19:55:41 - mmengine - INFO - Epoch(train) [14][700/940] lr: 1.0000e-02 eta: 15:14:45 time: 0.7187 data_time: 0.2386 memory: 8322 grad_norm: 3.8481 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6184 loss: 1.6184 2022/07/31 19:55:53 - mmengine - INFO - Epoch(train) [14][720/940] lr: 1.0000e-02 eta: 15:14:16 time: 0.5557 data_time: 0.1306 memory: 8322 grad_norm: 3.7927 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7217 loss: 1.7217 2022/07/31 19:56:07 - mmengine - INFO - Epoch(train) [14][740/940] lr: 1.0000e-02 eta: 15:14:10 time: 0.7304 data_time: 0.0563 memory: 8322 grad_norm: 3.8979 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7397 loss: 1.7397 2022/07/31 19:56:18 - mmengine - INFO - Epoch(train) [14][760/940] lr: 1.0000e-02 eta: 15:13:40 time: 0.5498 data_time: 0.0425 memory: 8322 grad_norm: 3.7946 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6334 loss: 1.6334 2022/07/31 19:56:33 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:56:33 - mmengine - INFO - Epoch(train) [14][780/940] lr: 1.0000e-02 eta: 15:13:35 time: 0.7446 data_time: 0.0395 memory: 8322 grad_norm: 3.8484 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6347 loss: 1.6347 2022/07/31 19:56:45 - mmengine - INFO - Epoch(train) [14][800/940] lr: 1.0000e-02 eta: 15:13:10 time: 0.5873 data_time: 0.0313 memory: 8322 grad_norm: 3.8001 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.7072 loss: 1.7072 2022/07/31 19:57:00 - mmengine - INFO - Epoch(train) [14][820/940] lr: 1.0000e-02 eta: 15:13:05 time: 0.7397 data_time: 0.0342 memory: 8322 grad_norm: 3.7841 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7734 loss: 1.7734 2022/07/31 19:57:11 - mmengine - INFO - Epoch(train) [14][840/940] lr: 1.0000e-02 eta: 15:12:39 time: 0.5798 data_time: 0.0348 memory: 8322 grad_norm: 3.8628 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.6802 loss: 1.6802 2022/07/31 19:57:26 - mmengine - INFO - Epoch(train) [14][860/940] lr: 1.0000e-02 eta: 15:12:30 time: 0.7143 data_time: 0.0371 memory: 8322 grad_norm: 3.8626 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 1.7866 loss: 1.7866 2022/07/31 19:57:36 - mmengine - INFO - Epoch(train) [14][880/940] lr: 1.0000e-02 eta: 15:12:00 time: 0.5384 data_time: 0.0320 memory: 8322 grad_norm: 3.9102 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.7584 loss: 1.7584 2022/07/31 19:57:50 - mmengine - INFO - Epoch(train) [14][900/940] lr: 1.0000e-02 eta: 15:11:47 time: 0.6862 data_time: 0.0388 memory: 8322 grad_norm: 3.8667 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6432 loss: 1.6432 2022/07/31 19:58:03 - mmengine - INFO - Epoch(train) [14][920/940] lr: 1.0000e-02 eta: 15:11:31 time: 0.6492 data_time: 0.0382 memory: 8322 grad_norm: 3.9468 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.8752 loss: 1.8752 2022/07/31 19:58:15 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 19:58:15 - mmengine - INFO - Epoch(train) [14][940/940] lr: 1.0000e-02 eta: 15:11:07 time: 0.5954 data_time: 0.0246 memory: 8322 grad_norm: 4.1206 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.7859 loss: 1.7859 2022/07/31 19:58:30 - mmengine - INFO - Epoch(val) [14][20/78] eta: 0:00:42 time: 0.7285 data_time: 0.6652 memory: 1463 2022/07/31 19:58:38 - mmengine - INFO - Epoch(val) [14][40/78] eta: 0:00:15 time: 0.4191 data_time: 0.3586 memory: 1463 2022/07/31 19:58:51 - mmengine - INFO - Epoch(val) [14][60/78] eta: 0:00:11 time: 0.6464 data_time: 0.5819 memory: 1463 2022/07/31 19:59:01 - mmengine - INFO - Epoch(val) [14][78/78] acc/top1: 0.6286 acc/top5: 0.8493 acc/mean1: 0.6285 2022/07/31 19:59:18 - mmengine - INFO - Epoch(train) [15][20/940] lr: 1.0000e-02 eta: 15:11:14 time: 0.8406 data_time: 0.4614 memory: 8322 grad_norm: 3.7983 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7421 loss: 1.7421 2022/07/31 19:59:29 - mmengine - INFO - Epoch(train) [15][40/940] lr: 1.0000e-02 eta: 15:10:47 time: 0.5701 data_time: 0.1018 memory: 8322 grad_norm: 3.7941 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6867 loss: 1.6867 2022/07/31 19:59:46 - mmengine - INFO - Epoch(train) [15][60/940] lr: 1.0000e-02 eta: 15:10:53 time: 0.8308 data_time: 0.0516 memory: 8322 grad_norm: 3.7687 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6959 loss: 1.6959 2022/07/31 19:59:58 - mmengine - INFO - Epoch(train) [15][80/940] lr: 1.0000e-02 eta: 15:10:34 time: 0.6374 data_time: 0.0346 memory: 8322 grad_norm: 3.7998 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7717 loss: 1.7717 2022/07/31 20:00:13 - mmengine - INFO - Epoch(train) [15][100/940] lr: 1.0000e-02 eta: 15:10:26 time: 0.7214 data_time: 0.0462 memory: 8322 grad_norm: 3.8267 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7350 loss: 1.7350 2022/07/31 20:00:24 - mmengine - INFO - Epoch(train) [15][120/940] lr: 1.0000e-02 eta: 15:09:57 time: 0.5506 data_time: 0.0349 memory: 8322 grad_norm: 3.8510 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6713 loss: 1.6713 2022/07/31 20:00:38 - mmengine - INFO - Epoch(train) [15][140/940] lr: 1.0000e-02 eta: 15:09:49 time: 0.7228 data_time: 0.0338 memory: 8322 grad_norm: 3.7248 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4755 loss: 1.4755 2022/07/31 20:00:50 - mmengine - INFO - Epoch(train) [15][160/940] lr: 1.0000e-02 eta: 15:09:26 time: 0.5937 data_time: 0.0395 memory: 8322 grad_norm: 3.8617 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7527 loss: 1.7527 2022/07/31 20:01:04 - mmengine - INFO - Epoch(train) [15][180/940] lr: 1.0000e-02 eta: 15:09:12 time: 0.6745 data_time: 0.0344 memory: 8322 grad_norm: 3.7858 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7609 loss: 1.7609 2022/07/31 20:01:15 - mmengine - INFO - Epoch(train) [15][200/940] lr: 1.0000e-02 eta: 15:08:46 time: 0.5689 data_time: 0.0350 memory: 8322 grad_norm: 3.8989 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.7456 loss: 1.7456 2022/07/31 20:01:30 - mmengine - INFO - Epoch(train) [15][220/940] lr: 1.0000e-02 eta: 15:08:41 time: 0.7496 data_time: 0.0375 memory: 8322 grad_norm: 3.8859 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.7069 loss: 1.7069 2022/07/31 20:01:42 - mmengine - INFO - Epoch(train) [15][240/940] lr: 1.0000e-02 eta: 15:08:19 time: 0.6036 data_time: 0.0384 memory: 8322 grad_norm: 3.8346 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7788 loss: 1.7788 2022/07/31 20:01:55 - mmengine - INFO - Epoch(train) [15][260/940] lr: 1.0000e-02 eta: 15:08:02 time: 0.6529 data_time: 0.0354 memory: 8322 grad_norm: 3.8221 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6754 loss: 1.6754 2022/07/31 20:02:06 - mmengine - INFO - Epoch(train) [15][280/940] lr: 1.0000e-02 eta: 15:07:32 time: 0.5357 data_time: 0.0423 memory: 8322 grad_norm: 3.9053 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.7445 loss: 1.7445 2022/07/31 20:02:22 - mmengine - INFO - Epoch(train) [15][300/940] lr: 1.0000e-02 eta: 15:07:36 time: 0.8206 data_time: 0.0412 memory: 8322 grad_norm: 3.8236 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7864 loss: 1.7864 2022/07/31 20:02:32 - mmengine - INFO - Epoch(train) [15][320/940] lr: 1.0000e-02 eta: 15:07:00 time: 0.4869 data_time: 0.0340 memory: 8322 grad_norm: 3.8661 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7226 loss: 1.7226 2022/07/31 20:02:46 - mmengine - INFO - Epoch(train) [15][340/940] lr: 1.0000e-02 eta: 15:06:51 time: 0.7165 data_time: 0.0318 memory: 8322 grad_norm: 3.8562 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.8043 loss: 1.8043 2022/07/31 20:02:58 - mmengine - INFO - Epoch(train) [15][360/940] lr: 1.0000e-02 eta: 15:06:25 time: 0.5738 data_time: 0.0392 memory: 8322 grad_norm: 3.7902 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6078 loss: 1.6078 2022/07/31 20:03:12 - mmengine - INFO - Epoch(train) [15][380/940] lr: 1.0000e-02 eta: 15:06:14 time: 0.6909 data_time: 0.0409 memory: 8322 grad_norm: 3.8463 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6162 loss: 1.6162 2022/07/31 20:03:24 - mmengine - INFO - Epoch(train) [15][400/940] lr: 1.0000e-02 eta: 15:05:50 time: 0.5916 data_time: 0.0409 memory: 8322 grad_norm: 3.8122 top1_acc: 0.5625 top5_acc: 0.9688 loss_cls: 1.8159 loss: 1.8159 2022/07/31 20:03:37 - mmengine - INFO - Epoch(train) [15][420/940] lr: 1.0000e-02 eta: 15:05:36 time: 0.6704 data_time: 0.0361 memory: 8322 grad_norm: 3.7967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7216 loss: 1.7216 2022/07/31 20:03:49 - mmengine - INFO - Epoch(train) [15][440/940] lr: 1.0000e-02 eta: 15:05:17 time: 0.6272 data_time: 0.0321 memory: 8322 grad_norm: 3.8609 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6922 loss: 1.6922 2022/07/31 20:04:03 - mmengine - INFO - Epoch(train) [15][460/940] lr: 1.0000e-02 eta: 15:05:05 time: 0.6931 data_time: 0.0719 memory: 8322 grad_norm: 3.8504 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.8655 loss: 1.8655 2022/07/31 20:04:15 - mmengine - INFO - Epoch(train) [15][480/940] lr: 1.0000e-02 eta: 15:04:41 time: 0.5845 data_time: 0.0348 memory: 8322 grad_norm: 3.8714 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7084 loss: 1.7084 2022/07/31 20:04:29 - mmengine - INFO - Epoch(train) [15][500/940] lr: 1.0000e-02 eta: 15:04:33 time: 0.7190 data_time: 0.0315 memory: 8322 grad_norm: 3.9146 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.7553 loss: 1.7553 2022/07/31 20:04:41 - mmengine - INFO - Epoch(train) [15][520/940] lr: 1.0000e-02 eta: 15:04:06 time: 0.5671 data_time: 0.0644 memory: 8322 grad_norm: 3.9250 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7237 loss: 1.7237 2022/07/31 20:04:55 - mmengine - INFO - Epoch(train) [15][540/940] lr: 1.0000e-02 eta: 15:03:55 time: 0.6903 data_time: 0.0535 memory: 8322 grad_norm: 3.8410 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6605 loss: 1.6605 2022/07/31 20:05:07 - mmengine - INFO - Epoch(train) [15][560/940] lr: 1.0000e-02 eta: 15:03:36 time: 0.6292 data_time: 0.0346 memory: 8322 grad_norm: 3.9249 top1_acc: 0.2812 top5_acc: 0.6250 loss_cls: 1.7642 loss: 1.7642 2022/07/31 20:05:20 - mmengine - INFO - Epoch(train) [15][580/940] lr: 1.0000e-02 eta: 15:03:20 time: 0.6545 data_time: 0.0374 memory: 8322 grad_norm: 3.9012 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.8415 loss: 1.8415 2022/07/31 20:05:33 - mmengine - INFO - Epoch(train) [15][600/940] lr: 1.0000e-02 eta: 15:03:03 time: 0.6512 data_time: 0.0367 memory: 8322 grad_norm: 3.8231 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6582 loss: 1.6582 2022/07/31 20:05:46 - mmengine - INFO - Epoch(train) [15][620/940] lr: 1.0000e-02 eta: 15:02:46 time: 0.6423 data_time: 0.0348 memory: 8322 grad_norm: 3.8830 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7659 loss: 1.7659 2022/07/31 20:06:00 - mmengine - INFO - Epoch(train) [15][640/940] lr: 1.0000e-02 eta: 15:02:33 time: 0.6804 data_time: 0.0333 memory: 8322 grad_norm: 3.8797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6554 loss: 1.6554 2022/07/31 20:06:12 - mmengine - INFO - Epoch(train) [15][660/940] lr: 1.0000e-02 eta: 15:02:15 time: 0.6316 data_time: 0.0367 memory: 8322 grad_norm: 3.8434 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6570 loss: 1.6570 2022/07/31 20:06:25 - mmengine - INFO - Epoch(train) [15][680/940] lr: 1.0000e-02 eta: 15:01:55 time: 0.6218 data_time: 0.0380 memory: 8322 grad_norm: 3.9248 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6410 loss: 1.6410 2022/07/31 20:06:37 - mmengine - INFO - Epoch(train) [15][700/940] lr: 1.0000e-02 eta: 15:01:35 time: 0.6191 data_time: 0.0436 memory: 8322 grad_norm: 3.8456 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7212 loss: 1.7212 2022/07/31 20:06:51 - mmengine - INFO - Epoch(train) [15][720/940] lr: 1.0000e-02 eta: 15:01:23 time: 0.6863 data_time: 0.1432 memory: 8322 grad_norm: 3.9518 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4987 loss: 1.4987 2022/07/31 20:07:04 - mmengine - INFO - Epoch(train) [15][740/940] lr: 1.0000e-02 eta: 15:01:09 time: 0.6745 data_time: 0.0306 memory: 8322 grad_norm: 3.8435 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.7591 loss: 1.7591 2022/07/31 20:07:17 - mmengine - INFO - Epoch(train) [15][760/940] lr: 1.0000e-02 eta: 15:00:50 time: 0.6211 data_time: 0.0373 memory: 8322 grad_norm: 3.8341 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6595 loss: 1.6595 2022/07/31 20:07:29 - mmengine - INFO - Epoch(train) [15][780/940] lr: 1.0000e-02 eta: 15:00:29 time: 0.6119 data_time: 0.0346 memory: 8322 grad_norm: 3.8796 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6731 loss: 1.6731 2022/07/31 20:07:43 - mmengine - INFO - Epoch(train) [15][800/940] lr: 1.0000e-02 eta: 15:00:15 time: 0.6736 data_time: 0.0412 memory: 8322 grad_norm: 3.9909 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.7324 loss: 1.7324 2022/07/31 20:07:54 - mmengine - INFO - Epoch(train) [15][820/940] lr: 1.0000e-02 eta: 14:59:51 time: 0.5803 data_time: 0.0365 memory: 8322 grad_norm: 3.9464 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6475 loss: 1.6475 2022/07/31 20:08:09 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:08:09 - mmengine - INFO - Epoch(train) [15][840/940] lr: 1.0000e-02 eta: 14:59:43 time: 0.7226 data_time: 0.0352 memory: 8322 grad_norm: 3.9045 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6610 loss: 1.6610 2022/07/31 20:08:21 - mmengine - INFO - Epoch(train) [15][860/940] lr: 1.0000e-02 eta: 14:59:22 time: 0.6100 data_time: 0.0403 memory: 8322 grad_norm: 3.8641 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6747 loss: 1.6747 2022/07/31 20:08:33 - mmengine - INFO - Epoch(train) [15][880/940] lr: 1.0000e-02 eta: 14:59:01 time: 0.6070 data_time: 0.0359 memory: 8322 grad_norm: 3.9096 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.8656 loss: 1.8656 2022/07/31 20:08:45 - mmengine - INFO - Epoch(train) [15][900/940] lr: 1.0000e-02 eta: 14:58:40 time: 0.6124 data_time: 0.0535 memory: 8322 grad_norm: 3.8484 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5146 loss: 1.5146 2022/07/31 20:08:59 - mmengine - INFO - Epoch(train) [15][920/940] lr: 1.0000e-02 eta: 14:58:31 time: 0.7119 data_time: 0.0358 memory: 8322 grad_norm: 3.9064 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6432 loss: 1.6432 2022/07/31 20:09:10 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:09:10 - mmengine - INFO - Epoch(train) [15][940/940] lr: 1.0000e-02 eta: 14:58:00 time: 0.5233 data_time: 0.0298 memory: 8322 grad_norm: 4.1195 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.7963 loss: 1.7963 2022/07/31 20:09:10 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/07/31 20:09:26 - mmengine - INFO - Epoch(val) [15][20/78] eta: 0:00:39 time: 0.6855 data_time: 0.6236 memory: 1463 2022/07/31 20:09:35 - mmengine - INFO - Epoch(val) [15][40/78] eta: 0:00:16 time: 0.4321 data_time: 0.3702 memory: 1463 2022/07/31 20:09:48 - mmengine - INFO - Epoch(val) [15][60/78] eta: 0:00:11 time: 0.6414 data_time: 0.5778 memory: 1463 2022/07/31 20:09:57 - mmengine - INFO - Epoch(val) [15][78/78] acc/top1: 0.6280 acc/top5: 0.8477 acc/mean1: 0.6278 2022/07/31 20:10:13 - mmengine - INFO - Epoch(train) [16][20/940] lr: 1.0000e-02 eta: 14:58:03 time: 0.8192 data_time: 0.4746 memory: 8322 grad_norm: 3.8363 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7849 loss: 1.7849 2022/07/31 20:10:25 - mmengine - INFO - Epoch(train) [16][40/940] lr: 1.0000e-02 eta: 14:57:37 time: 0.5607 data_time: 0.2166 memory: 8322 grad_norm: 3.8342 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.8230 loss: 1.8230 2022/07/31 20:10:40 - mmengine - INFO - Epoch(train) [16][60/940] lr: 1.0000e-02 eta: 14:57:35 time: 0.7780 data_time: 0.1448 memory: 8322 grad_norm: 3.9039 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8095 loss: 1.8095 2022/07/31 20:10:51 - mmengine - INFO - Epoch(train) [16][80/940] lr: 1.0000e-02 eta: 14:57:09 time: 0.5618 data_time: 0.0330 memory: 8322 grad_norm: 3.8974 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6586 loss: 1.6586 2022/07/31 20:11:06 - mmengine - INFO - Epoch(train) [16][100/940] lr: 1.0000e-02 eta: 14:57:00 time: 0.7203 data_time: 0.0434 memory: 8322 grad_norm: 3.8455 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6846 loss: 1.6846 2022/07/31 20:11:17 - mmengine - INFO - Epoch(train) [16][120/940] lr: 1.0000e-02 eta: 14:56:35 time: 0.5693 data_time: 0.0302 memory: 8322 grad_norm: 3.8416 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6244 loss: 1.6244 2022/07/31 20:11:32 - mmengine - INFO - Epoch(train) [16][140/940] lr: 1.0000e-02 eta: 14:56:30 time: 0.7468 data_time: 0.0348 memory: 8322 grad_norm: 3.8588 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6329 loss: 1.6329 2022/07/31 20:11:43 - mmengine - INFO - Epoch(train) [16][160/940] lr: 1.0000e-02 eta: 14:56:02 time: 0.5469 data_time: 0.0331 memory: 8322 grad_norm: 3.8368 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6295 loss: 1.6295 2022/07/31 20:11:58 - mmengine - INFO - Epoch(train) [16][180/940] lr: 1.0000e-02 eta: 14:55:56 time: 0.7424 data_time: 0.0370 memory: 8322 grad_norm: 3.8711 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.7702 loss: 1.7702 2022/07/31 20:12:09 - mmengine - INFO - Epoch(train) [16][200/940] lr: 1.0000e-02 eta: 14:55:30 time: 0.5582 data_time: 0.0294 memory: 8322 grad_norm: 3.8609 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.8953 loss: 1.8953 2022/07/31 20:12:24 - mmengine - INFO - Epoch(train) [16][220/940] lr: 1.0000e-02 eta: 14:55:24 time: 0.7431 data_time: 0.0551 memory: 8322 grad_norm: 3.9317 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7385 loss: 1.7385 2022/07/31 20:12:36 - mmengine - INFO - Epoch(train) [16][240/940] lr: 1.0000e-02 eta: 14:55:01 time: 0.5910 data_time: 0.0285 memory: 8322 grad_norm: 3.8737 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6058 loss: 1.6058 2022/07/31 20:12:50 - mmengine - INFO - Epoch(train) [16][260/940] lr: 1.0000e-02 eta: 14:54:54 time: 0.7304 data_time: 0.0362 memory: 8322 grad_norm: 3.7640 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6050 loss: 1.6050 2022/07/31 20:13:02 - mmengine - INFO - Epoch(train) [16][280/940] lr: 1.0000e-02 eta: 14:54:28 time: 0.5626 data_time: 0.0349 memory: 8322 grad_norm: 3.8641 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.7513 loss: 1.7513 2022/07/31 20:13:15 - mmengine - INFO - Epoch(train) [16][300/940] lr: 1.0000e-02 eta: 14:54:15 time: 0.6806 data_time: 0.0408 memory: 8322 grad_norm: 3.8603 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7148 loss: 1.7148 2022/07/31 20:13:27 - mmengine - INFO - Epoch(train) [16][320/940] lr: 1.0000e-02 eta: 14:53:52 time: 0.5845 data_time: 0.0317 memory: 8322 grad_norm: 3.8221 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6872 loss: 1.6872 2022/07/31 20:13:41 - mmengine - INFO - Epoch(train) [16][340/940] lr: 1.0000e-02 eta: 14:53:43 time: 0.7100 data_time: 0.0364 memory: 8322 grad_norm: 3.8886 top1_acc: 0.3750 top5_acc: 0.7188 loss_cls: 1.6556 loss: 1.6556 2022/07/31 20:13:53 - mmengine - INFO - Epoch(train) [16][360/940] lr: 1.0000e-02 eta: 14:53:19 time: 0.5797 data_time: 0.0304 memory: 8322 grad_norm: 3.8601 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6513 loss: 1.6513 2022/07/31 20:14:06 - mmengine - INFO - Epoch(train) [16][380/940] lr: 1.0000e-02 eta: 14:53:06 time: 0.6796 data_time: 0.0615 memory: 8322 grad_norm: 3.8196 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.6914 loss: 1.6914 2022/07/31 20:14:18 - mmengine - INFO - Epoch(train) [16][400/940] lr: 1.0000e-02 eta: 14:52:42 time: 0.5833 data_time: 0.0570 memory: 8322 grad_norm: 3.9639 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6154 loss: 1.6154 2022/07/31 20:14:33 - mmengine - INFO - Epoch(train) [16][420/940] lr: 1.0000e-02 eta: 14:52:35 time: 0.7317 data_time: 0.0358 memory: 8322 grad_norm: 3.8352 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6329 loss: 1.6329 2022/07/31 20:14:44 - mmengine - INFO - Epoch(train) [16][440/940] lr: 1.0000e-02 eta: 14:52:12 time: 0.5837 data_time: 0.0350 memory: 8322 grad_norm: 3.9771 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6426 loss: 1.6426 2022/07/31 20:14:57 - mmengine - INFO - Epoch(train) [16][460/940] lr: 1.0000e-02 eta: 14:51:56 time: 0.6504 data_time: 0.0355 memory: 8322 grad_norm: 3.9155 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6596 loss: 1.6596 2022/07/31 20:15:10 - mmengine - INFO - Epoch(train) [16][480/940] lr: 1.0000e-02 eta: 14:51:39 time: 0.6405 data_time: 0.0329 memory: 8322 grad_norm: 3.8757 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7672 loss: 1.7672 2022/07/31 20:15:23 - mmengine - INFO - Epoch(train) [16][500/940] lr: 1.0000e-02 eta: 14:51:22 time: 0.6385 data_time: 0.0390 memory: 8322 grad_norm: 3.8986 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7125 loss: 1.7125 2022/07/31 20:15:35 - mmengine - INFO - Epoch(train) [16][520/940] lr: 1.0000e-02 eta: 14:51:01 time: 0.6115 data_time: 0.0328 memory: 8322 grad_norm: 3.8578 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6846 loss: 1.6846 2022/07/31 20:15:49 - mmengine - INFO - Epoch(train) [16][540/940] lr: 1.0000e-02 eta: 14:50:49 time: 0.6853 data_time: 0.0458 memory: 8322 grad_norm: 3.9569 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.7008 loss: 1.7008 2022/07/31 20:16:01 - mmengine - INFO - Epoch(train) [16][560/940] lr: 1.0000e-02 eta: 14:50:30 time: 0.6202 data_time: 0.0383 memory: 8322 grad_norm: 3.9385 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.7444 loss: 1.7444 2022/07/31 20:16:16 - mmengine - INFO - Epoch(train) [16][580/940] lr: 1.0000e-02 eta: 14:50:24 time: 0.7434 data_time: 0.0394 memory: 8322 grad_norm: 3.8449 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.6691 loss: 1.6691 2022/07/31 20:16:28 - mmengine - INFO - Epoch(train) [16][600/940] lr: 1.0000e-02 eta: 14:50:00 time: 0.5757 data_time: 0.0383 memory: 8322 grad_norm: 3.8997 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7260 loss: 1.7260 2022/07/31 20:16:42 - mmengine - INFO - Epoch(train) [16][620/940] lr: 1.0000e-02 eta: 14:49:52 time: 0.7264 data_time: 0.0366 memory: 8322 grad_norm: 3.8945 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7748 loss: 1.7748 2022/07/31 20:16:55 - mmengine - INFO - Epoch(train) [16][640/940] lr: 1.0000e-02 eta: 14:49:37 time: 0.6608 data_time: 0.0307 memory: 8322 grad_norm: 3.9612 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7069 loss: 1.7069 2022/07/31 20:17:11 - mmengine - INFO - Epoch(train) [16][660/940] lr: 1.0000e-02 eta: 14:49:37 time: 0.8000 data_time: 0.0321 memory: 8322 grad_norm: 3.9040 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6788 loss: 1.6788 2022/07/31 20:17:23 - mmengine - INFO - Epoch(train) [16][680/940] lr: 1.0000e-02 eta: 14:49:11 time: 0.5543 data_time: 0.0355 memory: 8322 grad_norm: 4.0043 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.8283 loss: 1.8283 2022/07/31 20:17:36 - mmengine - INFO - Epoch(train) [16][700/940] lr: 1.0000e-02 eta: 14:49:00 time: 0.6900 data_time: 0.0320 memory: 8322 grad_norm: 3.8698 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6860 loss: 1.6860 2022/07/31 20:17:47 - mmengine - INFO - Epoch(train) [16][720/940] lr: 1.0000e-02 eta: 14:48:33 time: 0.5523 data_time: 0.0361 memory: 8322 grad_norm: 3.9366 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6063 loss: 1.6063 2022/07/31 20:18:02 - mmengine - INFO - Epoch(train) [16][740/940] lr: 1.0000e-02 eta: 14:48:27 time: 0.7449 data_time: 0.0237 memory: 8322 grad_norm: 3.9148 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7866 loss: 1.7866 2022/07/31 20:18:14 - mmengine - INFO - Epoch(train) [16][760/940] lr: 1.0000e-02 eta: 14:48:05 time: 0.5869 data_time: 0.0344 memory: 8322 grad_norm: 3.8340 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4795 loss: 1.4795 2022/07/31 20:18:29 - mmengine - INFO - Epoch(train) [16][780/940] lr: 1.0000e-02 eta: 14:47:59 time: 0.7483 data_time: 0.0312 memory: 8322 grad_norm: 3.8586 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7216 loss: 1.7216 2022/07/31 20:18:40 - mmengine - INFO - Epoch(train) [16][800/940] lr: 1.0000e-02 eta: 14:47:32 time: 0.5494 data_time: 0.0332 memory: 8322 grad_norm: 3.8760 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7219 loss: 1.7219 2022/07/31 20:18:55 - mmengine - INFO - Epoch(train) [16][820/940] lr: 1.0000e-02 eta: 14:47:26 time: 0.7384 data_time: 0.0250 memory: 8322 grad_norm: 3.8771 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.6671 loss: 1.6671 2022/07/31 20:19:06 - mmengine - INFO - Epoch(train) [16][840/940] lr: 1.0000e-02 eta: 14:47:02 time: 0.5766 data_time: 0.0321 memory: 8322 grad_norm: 3.9729 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.7897 loss: 1.7897 2022/07/31 20:19:21 - mmengine - INFO - Epoch(train) [16][860/940] lr: 1.0000e-02 eta: 14:46:54 time: 0.7198 data_time: 0.0346 memory: 8322 grad_norm: 3.9017 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6654 loss: 1.6654 2022/07/31 20:19:31 - mmengine - INFO - Epoch(train) [16][880/940] lr: 1.0000e-02 eta: 14:46:23 time: 0.5076 data_time: 0.0387 memory: 8322 grad_norm: 3.9433 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.7053 loss: 1.7053 2022/07/31 20:19:45 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:19:45 - mmengine - INFO - Epoch(train) [16][900/940] lr: 1.0000e-02 eta: 14:46:11 time: 0.6857 data_time: 0.0576 memory: 8322 grad_norm: 3.8854 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.7950 loss: 1.7950 2022/07/31 20:19:56 - mmengine - INFO - Epoch(train) [16][920/940] lr: 1.0000e-02 eta: 14:45:46 time: 0.5716 data_time: 0.0352 memory: 8322 grad_norm: 3.9210 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7557 loss: 1.7557 2022/07/31 20:20:07 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:20:07 - mmengine - INFO - Epoch(train) [16][940/940] lr: 1.0000e-02 eta: 14:45:19 time: 0.5417 data_time: 0.0224 memory: 8322 grad_norm: 4.0889 top1_acc: 0.0000 top5_acc: 0.5714 loss_cls: 1.8788 loss: 1.8788 2022/07/31 20:20:22 - mmengine - INFO - Epoch(val) [16][20/78] eta: 0:00:42 time: 0.7368 data_time: 0.6726 memory: 1463 2022/07/31 20:20:30 - mmengine - INFO - Epoch(val) [16][40/78] eta: 0:00:16 time: 0.4412 data_time: 0.3809 memory: 1463 2022/07/31 20:20:44 - mmengine - INFO - Epoch(val) [16][60/78] eta: 0:00:12 time: 0.6675 data_time: 0.6057 memory: 1463 2022/07/31 20:20:53 - mmengine - INFO - Epoch(val) [16][78/78] acc/top1: 0.6367 acc/top5: 0.8540 acc/mean1: 0.6365 2022/07/31 20:20:53 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_14.pth is removed 2022/07/31 20:20:54 - mmengine - INFO - The best checkpoint with 0.6367 acc/top1 at 17 epoch is saved to best_acc/top1_epoch_17.pth. 2022/07/31 20:21:11 - mmengine - INFO - Epoch(train) [17][20/940] lr: 1.0000e-02 eta: 14:45:23 time: 0.8414 data_time: 0.6051 memory: 8322 grad_norm: 3.8183 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7194 loss: 1.7194 2022/07/31 20:21:22 - mmengine - INFO - Epoch(train) [17][40/940] lr: 1.0000e-02 eta: 14:44:58 time: 0.5555 data_time: 0.3590 memory: 8322 grad_norm: 3.8577 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.7697 loss: 1.7697 2022/07/31 20:21:38 - mmengine - INFO - Epoch(train) [17][60/940] lr: 1.0000e-02 eta: 14:44:54 time: 0.7677 data_time: 0.5711 memory: 8322 grad_norm: 3.8967 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7113 loss: 1.7113 2022/07/31 20:21:48 - mmengine - INFO - Epoch(train) [17][80/940] lr: 1.0000e-02 eta: 14:44:26 time: 0.5331 data_time: 0.3273 memory: 8322 grad_norm: 3.8244 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.6243 loss: 1.6243 2022/07/31 20:22:02 - mmengine - INFO - Epoch(train) [17][100/940] lr: 1.0000e-02 eta: 14:44:17 time: 0.7124 data_time: 0.3953 memory: 8322 grad_norm: 3.8732 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 1.8301 loss: 1.8301 2022/07/31 20:22:14 - mmengine - INFO - Epoch(train) [17][120/940] lr: 1.0000e-02 eta: 14:43:51 time: 0.5546 data_time: 0.1900 memory: 8322 grad_norm: 3.8555 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.6045 loss: 1.6045 2022/07/31 20:22:27 - mmengine - INFO - Epoch(train) [17][140/940] lr: 1.0000e-02 eta: 14:43:40 time: 0.6917 data_time: 0.2096 memory: 8322 grad_norm: 3.8658 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6128 loss: 1.6128 2022/07/31 20:22:39 - mmengine - INFO - Epoch(train) [17][160/940] lr: 1.0000e-02 eta: 14:43:14 time: 0.5573 data_time: 0.1259 memory: 8322 grad_norm: 3.9716 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7966 loss: 1.7966 2022/07/31 20:22:53 - mmengine - INFO - Epoch(train) [17][180/940] lr: 1.0000e-02 eta: 14:43:06 time: 0.7283 data_time: 0.2777 memory: 8322 grad_norm: 3.8823 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.7390 loss: 1.7390 2022/07/31 20:23:05 - mmengine - INFO - Epoch(train) [17][200/940] lr: 1.0000e-02 eta: 14:42:45 time: 0.5966 data_time: 0.0901 memory: 8322 grad_norm: 3.9257 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6311 loss: 1.6311 2022/07/31 20:23:20 - mmengine - INFO - Epoch(train) [17][220/940] lr: 1.0000e-02 eta: 14:42:38 time: 0.7382 data_time: 0.0333 memory: 8322 grad_norm: 3.8272 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6121 loss: 1.6121 2022/07/31 20:23:31 - mmengine - INFO - Epoch(train) [17][240/940] lr: 1.0000e-02 eta: 14:42:14 time: 0.5628 data_time: 0.0435 memory: 8322 grad_norm: 3.8544 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7354 loss: 1.7354 2022/07/31 20:23:45 - mmengine - INFO - Epoch(train) [17][260/940] lr: 1.0000e-02 eta: 14:42:04 time: 0.7044 data_time: 0.0627 memory: 8322 grad_norm: 3.8614 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6939 loss: 1.6939 2022/07/31 20:23:56 - mmengine - INFO - Epoch(train) [17][280/940] lr: 1.0000e-02 eta: 14:41:36 time: 0.5382 data_time: 0.1059 memory: 8322 grad_norm: 3.9337 top1_acc: 0.3438 top5_acc: 0.7500 loss_cls: 1.7200 loss: 1.7200 2022/07/31 20:24:12 - mmengine - INFO - Epoch(train) [17][300/940] lr: 1.0000e-02 eta: 14:41:35 time: 0.7894 data_time: 0.2783 memory: 8322 grad_norm: 3.9087 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/07/31 20:24:24 - mmengine - INFO - Epoch(train) [17][320/940] lr: 1.0000e-02 eta: 14:41:15 time: 0.6115 data_time: 0.1223 memory: 8322 grad_norm: 3.8829 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6793 loss: 1.6793 2022/07/31 20:24:37 - mmengine - INFO - Epoch(train) [17][340/940] lr: 1.0000e-02 eta: 14:41:00 time: 0.6566 data_time: 0.0882 memory: 8322 grad_norm: 3.7811 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5846 loss: 1.5846 2022/07/31 20:24:48 - mmengine - INFO - Epoch(train) [17][360/940] lr: 1.0000e-02 eta: 14:40:33 time: 0.5357 data_time: 0.0743 memory: 8322 grad_norm: 3.9276 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.6207 loss: 1.6207 2022/07/31 20:25:02 - mmengine - INFO - Epoch(train) [17][380/940] lr: 1.0000e-02 eta: 14:40:26 time: 0.7337 data_time: 0.1436 memory: 8322 grad_norm: 3.9289 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7084 loss: 1.7084 2022/07/31 20:25:14 - mmengine - INFO - Epoch(train) [17][400/940] lr: 1.0000e-02 eta: 14:40:01 time: 0.5626 data_time: 0.1448 memory: 8322 grad_norm: 3.8654 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7069 loss: 1.7069 2022/07/31 20:25:28 - mmengine - INFO - Epoch(train) [17][420/940] lr: 1.0000e-02 eta: 14:39:53 time: 0.7252 data_time: 0.2677 memory: 8322 grad_norm: 3.8539 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.7499 loss: 1.7499 2022/07/31 20:25:39 - mmengine - INFO - Epoch(train) [17][440/940] lr: 1.0000e-02 eta: 14:39:25 time: 0.5273 data_time: 0.0934 memory: 8322 grad_norm: 3.9285 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7043 loss: 1.7043 2022/07/31 20:25:53 - mmengine - INFO - Epoch(train) [17][460/940] lr: 1.0000e-02 eta: 14:39:17 time: 0.7229 data_time: 0.3370 memory: 8322 grad_norm: 3.9130 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7439 loss: 1.7439 2022/07/31 20:26:05 - mmengine - INFO - Epoch(train) [17][480/940] lr: 1.0000e-02 eta: 14:38:52 time: 0.5641 data_time: 0.2222 memory: 8322 grad_norm: 3.8696 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6533 loss: 1.6533 2022/07/31 20:26:19 - mmengine - INFO - Epoch(train) [17][500/940] lr: 1.0000e-02 eta: 14:38:42 time: 0.7048 data_time: 0.2452 memory: 8322 grad_norm: 3.9496 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6913 loss: 1.6913 2022/07/31 20:26:30 - mmengine - INFO - Epoch(train) [17][520/940] lr: 1.0000e-02 eta: 14:38:20 time: 0.5896 data_time: 0.1260 memory: 8322 grad_norm: 3.9247 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6611 loss: 1.6611 2022/07/31 20:26:45 - mmengine - INFO - Epoch(train) [17][540/940] lr: 1.0000e-02 eta: 14:38:12 time: 0.7227 data_time: 0.0794 memory: 8322 grad_norm: 3.9568 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7885 loss: 1.7885 2022/07/31 20:26:57 - mmengine - INFO - Epoch(train) [17][560/940] lr: 1.0000e-02 eta: 14:37:51 time: 0.5994 data_time: 0.0945 memory: 8322 grad_norm: 3.9227 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7970 loss: 1.7970 2022/07/31 20:27:12 - mmengine - INFO - Epoch(train) [17][580/940] lr: 1.0000e-02 eta: 14:37:44 time: 0.7342 data_time: 0.0329 memory: 8322 grad_norm: 3.8727 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7318 loss: 1.7318 2022/07/31 20:27:23 - mmengine - INFO - Epoch(train) [17][600/940] lr: 1.0000e-02 eta: 14:37:20 time: 0.5699 data_time: 0.0291 memory: 8322 grad_norm: 3.8594 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6911 loss: 1.6911 2022/07/31 20:27:36 - mmengine - INFO - Epoch(train) [17][620/940] lr: 1.0000e-02 eta: 14:37:06 time: 0.6628 data_time: 0.1137 memory: 8322 grad_norm: 4.0245 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.7550 loss: 1.7550 2022/07/31 20:27:48 - mmengine - INFO - Epoch(train) [17][640/940] lr: 1.0000e-02 eta: 14:36:45 time: 0.5916 data_time: 0.2637 memory: 8322 grad_norm: 3.8852 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6205 loss: 1.6205 2022/07/31 20:28:03 - mmengine - INFO - Epoch(train) [17][660/940] lr: 1.0000e-02 eta: 14:36:40 time: 0.7595 data_time: 0.4827 memory: 8322 grad_norm: 3.9680 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7132 loss: 1.7132 2022/07/31 20:28:14 - mmengine - INFO - Epoch(train) [17][680/940] lr: 1.0000e-02 eta: 14:36:14 time: 0.5450 data_time: 0.2917 memory: 8322 grad_norm: 3.9229 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.7117 loss: 1.7117 2022/07/31 20:28:28 - mmengine - INFO - Epoch(train) [17][700/940] lr: 1.0000e-02 eta: 14:36:02 time: 0.6896 data_time: 0.3224 memory: 8322 grad_norm: 3.9262 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6352 loss: 1.6352 2022/07/31 20:28:39 - mmengine - INFO - Epoch(train) [17][720/940] lr: 1.0000e-02 eta: 14:35:36 time: 0.5388 data_time: 0.2962 memory: 8322 grad_norm: 3.8412 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7601 loss: 1.7601 2022/07/31 20:28:54 - mmengine - INFO - Epoch(train) [17][740/940] lr: 1.0000e-02 eta: 14:35:31 time: 0.7610 data_time: 0.5404 memory: 8322 grad_norm: 3.9952 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7132 loss: 1.7132 2022/07/31 20:29:05 - mmengine - INFO - Epoch(train) [17][760/940] lr: 1.0000e-02 eta: 14:35:06 time: 0.5546 data_time: 0.3295 memory: 8322 grad_norm: 3.9248 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6274 loss: 1.6274 2022/07/31 20:29:19 - mmengine - INFO - Epoch(train) [17][780/940] lr: 1.0000e-02 eta: 14:34:57 time: 0.7142 data_time: 0.4820 memory: 8322 grad_norm: 3.9193 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6471 loss: 1.6471 2022/07/31 20:29:32 - mmengine - INFO - Epoch(train) [17][800/940] lr: 1.0000e-02 eta: 14:34:40 time: 0.6408 data_time: 0.3975 memory: 8322 grad_norm: 3.9864 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 1.7495 loss: 1.7495 2022/07/31 20:29:46 - mmengine - INFO - Epoch(train) [17][820/940] lr: 1.0000e-02 eta: 14:34:29 time: 0.6922 data_time: 0.4626 memory: 8322 grad_norm: 3.8907 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5934 loss: 1.5934 2022/07/31 20:29:57 - mmengine - INFO - Epoch(train) [17][840/940] lr: 1.0000e-02 eta: 14:34:06 time: 0.5702 data_time: 0.3224 memory: 8322 grad_norm: 3.9432 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7534 loss: 1.7534 2022/07/31 20:30:12 - mmengine - INFO - Epoch(train) [17][860/940] lr: 1.0000e-02 eta: 14:33:59 time: 0.7417 data_time: 0.4962 memory: 8322 grad_norm: 3.8630 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4943 loss: 1.4943 2022/07/31 20:30:23 - mmengine - INFO - Epoch(train) [17][880/940] lr: 1.0000e-02 eta: 14:33:34 time: 0.5494 data_time: 0.2555 memory: 8322 grad_norm: 3.9223 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7045 loss: 1.7045 2022/07/31 20:30:36 - mmengine - INFO - Epoch(train) [17][900/940] lr: 1.0000e-02 eta: 14:33:18 time: 0.6496 data_time: 0.3348 memory: 8322 grad_norm: 3.8362 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.6267 loss: 1.6267 2022/07/31 20:30:49 - mmengine - INFO - Epoch(train) [17][920/940] lr: 1.0000e-02 eta: 14:33:01 time: 0.6367 data_time: 0.2428 memory: 8322 grad_norm: 3.9356 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7248 loss: 1.7248 2022/07/31 20:31:01 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:31:01 - mmengine - INFO - Epoch(train) [17][940/940] lr: 1.0000e-02 eta: 14:32:42 time: 0.6059 data_time: 0.3530 memory: 8322 grad_norm: 4.2351 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 1.7456 loss: 1.7456 2022/07/31 20:31:14 - mmengine - INFO - Epoch(val) [17][20/78] eta: 0:00:38 time: 0.6615 data_time: 0.5944 memory: 1463 2022/07/31 20:31:23 - mmengine - INFO - Epoch(val) [17][40/78] eta: 0:00:16 time: 0.4456 data_time: 0.3837 memory: 1463 2022/07/31 20:31:37 - mmengine - INFO - Epoch(val) [17][60/78] eta: 0:00:11 time: 0.6624 data_time: 0.5994 memory: 1463 2022/07/31 20:31:47 - mmengine - INFO - Epoch(val) [17][78/78] acc/top1: 0.6300 acc/top5: 0.8468 acc/mean1: 0.6298 2022/07/31 20:32:03 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:32:03 - mmengine - INFO - Epoch(train) [18][20/940] lr: 1.0000e-02 eta: 14:32:44 time: 0.8313 data_time: 0.4641 memory: 8322 grad_norm: 3.8961 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6274 loss: 1.6274 2022/07/31 20:32:14 - mmengine - INFO - Epoch(train) [18][40/940] lr: 1.0000e-02 eta: 14:32:19 time: 0.5507 data_time: 0.2432 memory: 8322 grad_norm: 3.7852 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7387 loss: 1.7387 2022/07/31 20:32:29 - mmengine - INFO - Epoch(train) [18][60/940] lr: 1.0000e-02 eta: 14:32:12 time: 0.7386 data_time: 0.2611 memory: 8322 grad_norm: 3.8831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7800 loss: 1.7800 2022/07/31 20:32:40 - mmengine - INFO - Epoch(train) [18][80/940] lr: 1.0000e-02 eta: 14:31:46 time: 0.5430 data_time: 0.1794 memory: 8322 grad_norm: 3.8905 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6770 loss: 1.6770 2022/07/31 20:32:55 - mmengine - INFO - Epoch(train) [18][100/940] lr: 1.0000e-02 eta: 14:31:42 time: 0.7665 data_time: 0.1296 memory: 8322 grad_norm: 3.7908 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6322 loss: 1.6322 2022/07/31 20:33:07 - mmengine - INFO - Epoch(train) [18][120/940] lr: 1.0000e-02 eta: 14:31:18 time: 0.5668 data_time: 0.0301 memory: 8322 grad_norm: 3.8264 top1_acc: 0.7188 top5_acc: 0.7188 loss_cls: 1.5908 loss: 1.5908 2022/07/31 20:33:22 - mmengine - INFO - Epoch(train) [18][140/940] lr: 1.0000e-02 eta: 14:31:15 time: 0.7810 data_time: 0.0401 memory: 8322 grad_norm: 3.8995 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7347 loss: 1.7347 2022/07/31 20:33:32 - mmengine - INFO - Epoch(train) [18][160/940] lr: 1.0000e-02 eta: 14:30:46 time: 0.5015 data_time: 0.0280 memory: 8322 grad_norm: 4.0325 top1_acc: 0.4375 top5_acc: 0.7812 loss_cls: 1.7118 loss: 1.7118 2022/07/31 20:33:47 - mmengine - INFO - Epoch(train) [18][180/940] lr: 1.0000e-02 eta: 14:30:37 time: 0.7206 data_time: 0.0361 memory: 8322 grad_norm: 3.8618 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6507 loss: 1.6507 2022/07/31 20:33:59 - mmengine - INFO - Epoch(train) [18][200/940] lr: 1.0000e-02 eta: 14:30:17 time: 0.6088 data_time: 0.0287 memory: 8322 grad_norm: 3.8788 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7197 loss: 1.7197 2022/07/31 20:34:13 - mmengine - INFO - Epoch(train) [18][220/940] lr: 1.0000e-02 eta: 14:30:07 time: 0.7069 data_time: 0.0409 memory: 8322 grad_norm: 3.9417 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6206 loss: 1.6206 2022/07/31 20:34:24 - mmengine - INFO - Epoch(train) [18][240/940] lr: 1.0000e-02 eta: 14:29:45 time: 0.5735 data_time: 0.0374 memory: 8322 grad_norm: 3.8692 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6640 loss: 1.6640 2022/07/31 20:34:40 - mmengine - INFO - Epoch(train) [18][260/940] lr: 1.0000e-02 eta: 14:29:41 time: 0.7689 data_time: 0.0362 memory: 8322 grad_norm: 3.9462 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.7169 loss: 1.7169 2022/07/31 20:34:51 - mmengine - INFO - Epoch(train) [18][280/940] lr: 1.0000e-02 eta: 14:29:19 time: 0.5823 data_time: 0.0356 memory: 8322 grad_norm: 3.8371 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4922 loss: 1.4922 2022/07/31 20:35:05 - mmengine - INFO - Epoch(train) [18][300/940] lr: 1.0000e-02 eta: 14:29:08 time: 0.7010 data_time: 0.0339 memory: 8322 grad_norm: 3.8843 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5993 loss: 1.5993 2022/07/31 20:35:16 - mmengine - INFO - Epoch(train) [18][320/940] lr: 1.0000e-02 eta: 14:28:42 time: 0.5354 data_time: 0.0336 memory: 8322 grad_norm: 3.8767 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6751 loss: 1.6751 2022/07/31 20:35:30 - mmengine - INFO - Epoch(train) [18][340/940] lr: 1.0000e-02 eta: 14:28:33 time: 0.7151 data_time: 0.0369 memory: 8322 grad_norm: 3.8862 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7028 loss: 1.7028 2022/07/31 20:35:41 - mmengine - INFO - Epoch(train) [18][360/940] lr: 1.0000e-02 eta: 14:28:04 time: 0.5092 data_time: 0.0326 memory: 8322 grad_norm: 4.0431 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5866 loss: 1.5866 2022/07/31 20:35:55 - mmengine - INFO - Epoch(train) [18][380/940] lr: 1.0000e-02 eta: 14:27:55 time: 0.7226 data_time: 0.0459 memory: 8322 grad_norm: 3.9566 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.6182 loss: 1.6182 2022/07/31 20:36:06 - mmengine - INFO - Epoch(train) [18][400/940] lr: 1.0000e-02 eta: 14:27:31 time: 0.5572 data_time: 0.0342 memory: 8322 grad_norm: 3.9537 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.6640 loss: 1.6640 2022/07/31 20:36:23 - mmengine - INFO - Epoch(train) [18][420/940] lr: 1.0000e-02 eta: 14:27:33 time: 0.8282 data_time: 0.0365 memory: 8322 grad_norm: 3.9270 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.7287 loss: 1.7287 2022/07/31 20:36:35 - mmengine - INFO - Epoch(train) [18][440/940] lr: 1.0000e-02 eta: 14:27:11 time: 0.5875 data_time: 0.0362 memory: 8322 grad_norm: 3.9187 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6310 loss: 1.6310 2022/07/31 20:36:48 - mmengine - INFO - Epoch(train) [18][460/940] lr: 1.0000e-02 eta: 14:26:56 time: 0.6503 data_time: 0.0328 memory: 8322 grad_norm: 3.9840 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7196 loss: 1.7196 2022/07/31 20:37:00 - mmengine - INFO - Epoch(train) [18][480/940] lr: 1.0000e-02 eta: 14:26:38 time: 0.6165 data_time: 0.1387 memory: 8322 grad_norm: 3.9638 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6606 loss: 1.6606 2022/07/31 20:37:15 - mmengine - INFO - Epoch(train) [18][500/940] lr: 1.0000e-02 eta: 14:26:30 time: 0.7341 data_time: 0.3471 memory: 8322 grad_norm: 3.9307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7373 loss: 1.7373 2022/07/31 20:37:25 - mmengine - INFO - Epoch(train) [18][520/940] lr: 1.0000e-02 eta: 14:26:03 time: 0.5287 data_time: 0.2663 memory: 8322 grad_norm: 3.8789 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6086 loss: 1.6086 2022/07/31 20:37:39 - mmengine - INFO - Epoch(train) [18][540/940] lr: 1.0000e-02 eta: 14:25:52 time: 0.6906 data_time: 0.3554 memory: 8322 grad_norm: 3.9548 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6454 loss: 1.6454 2022/07/31 20:37:50 - mmengine - INFO - Epoch(train) [18][560/940] lr: 1.0000e-02 eta: 14:25:27 time: 0.5456 data_time: 0.3294 memory: 8322 grad_norm: 3.9217 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6347 loss: 1.6347 2022/07/31 20:38:04 - mmengine - INFO - Epoch(train) [18][580/940] lr: 1.0000e-02 eta: 14:25:18 time: 0.7193 data_time: 0.5040 memory: 8322 grad_norm: 3.9326 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.7141 loss: 1.7141 2022/07/31 20:38:16 - mmengine - INFO - Epoch(train) [18][600/940] lr: 1.0000e-02 eta: 14:24:54 time: 0.5631 data_time: 0.3510 memory: 8322 grad_norm: 3.9176 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6819 loss: 1.6819 2022/07/31 20:38:30 - mmengine - INFO - Epoch(train) [18][620/940] lr: 1.0000e-02 eta: 14:24:45 time: 0.7150 data_time: 0.2963 memory: 8322 grad_norm: 3.8754 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7374 loss: 1.7374 2022/07/31 20:38:44 - mmengine - INFO - Epoch(train) [18][640/940] lr: 1.0000e-02 eta: 14:24:34 time: 0.6930 data_time: 0.1260 memory: 8322 grad_norm: 3.9905 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.7601 loss: 1.7601 2022/07/31 20:38:55 - mmengine - INFO - Epoch(train) [18][660/940] lr: 1.0000e-02 eta: 14:24:11 time: 0.5655 data_time: 0.0900 memory: 8322 grad_norm: 3.9010 top1_acc: 0.4062 top5_acc: 0.6875 loss_cls: 1.8798 loss: 1.8798 2022/07/31 20:39:09 - mmengine - INFO - Epoch(train) [18][680/940] lr: 1.0000e-02 eta: 14:24:02 time: 0.7218 data_time: 0.1493 memory: 8322 grad_norm: 3.9905 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5639 loss: 1.5639 2022/07/31 20:39:21 - mmengine - INFO - Epoch(train) [18][700/940] lr: 1.0000e-02 eta: 14:23:42 time: 0.5970 data_time: 0.0616 memory: 8322 grad_norm: 3.9553 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.7104 loss: 1.7104 2022/07/31 20:39:37 - mmengine - INFO - Epoch(train) [18][720/940] lr: 1.0000e-02 eta: 14:23:38 time: 0.7671 data_time: 0.0302 memory: 8322 grad_norm: 3.8988 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6337 loss: 1.6337 2022/07/31 20:39:49 - mmengine - INFO - Epoch(train) [18][740/940] lr: 1.0000e-02 eta: 14:23:17 time: 0.5955 data_time: 0.0332 memory: 8322 grad_norm: 3.9268 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7451 loss: 1.7451 2022/07/31 20:40:02 - mmengine - INFO - Epoch(train) [18][760/940] lr: 1.0000e-02 eta: 14:23:05 time: 0.6826 data_time: 0.0324 memory: 8322 grad_norm: 4.0184 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.6419 loss: 1.6419 2022/07/31 20:40:15 - mmengine - INFO - Epoch(train) [18][780/940] lr: 1.0000e-02 eta: 14:22:46 time: 0.6145 data_time: 0.0320 memory: 8322 grad_norm: 3.9398 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6634 loss: 1.6634 2022/07/31 20:40:28 - mmengine - INFO - Epoch(train) [18][800/940] lr: 1.0000e-02 eta: 14:22:34 time: 0.6814 data_time: 0.0345 memory: 8322 grad_norm: 4.0481 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6489 loss: 1.6489 2022/07/31 20:40:40 - mmengine - INFO - Epoch(train) [18][820/940] lr: 1.0000e-02 eta: 14:22:12 time: 0.5748 data_time: 0.0241 memory: 8322 grad_norm: 3.9306 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6374 loss: 1.6374 2022/07/31 20:40:54 - mmengine - INFO - Epoch(train) [18][840/940] lr: 1.0000e-02 eta: 14:22:01 time: 0.6964 data_time: 0.0360 memory: 8322 grad_norm: 3.9149 top1_acc: 0.3438 top5_acc: 0.5000 loss_cls: 1.7991 loss: 1.7991 2022/07/31 20:41:05 - mmengine - INFO - Epoch(train) [18][860/940] lr: 1.0000e-02 eta: 14:21:39 time: 0.5753 data_time: 0.0258 memory: 8322 grad_norm: 3.8999 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.7625 loss: 1.7625 2022/07/31 20:41:20 - mmengine - INFO - Epoch(train) [18][880/940] lr: 1.0000e-02 eta: 14:21:31 time: 0.7315 data_time: 0.0396 memory: 8322 grad_norm: 4.0171 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7323 loss: 1.7323 2022/07/31 20:41:39 - mmengine - INFO - Epoch(train) [18][900/940] lr: 1.0000e-02 eta: 14:21:45 time: 0.9689 data_time: 0.0251 memory: 8322 grad_norm: 3.9708 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5976 loss: 1.5976 2022/07/31 20:41:53 - mmengine - INFO - Epoch(train) [18][920/940] lr: 1.0000e-02 eta: 14:21:34 time: 0.7034 data_time: 0.0276 memory: 8322 grad_norm: 3.9439 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8185 loss: 1.8185 2022/07/31 20:42:04 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:42:04 - mmengine - INFO - Epoch(train) [18][940/940] lr: 1.0000e-02 eta: 14:21:09 time: 0.5347 data_time: 0.0319 memory: 8322 grad_norm: 4.2184 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7647 loss: 1.7647 2022/07/31 20:42:04 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/07/31 20:42:20 - mmengine - INFO - Epoch(val) [18][20/78] eta: 0:00:39 time: 0.6751 data_time: 0.6129 memory: 1463 2022/07/31 20:42:30 - mmengine - INFO - Epoch(val) [18][40/78] eta: 0:00:19 time: 0.5037 data_time: 0.4433 memory: 1463 2022/07/31 20:42:42 - mmengine - INFO - Epoch(val) [18][60/78] eta: 0:00:10 time: 0.5913 data_time: 0.5263 memory: 1463 2022/07/31 20:42:51 - mmengine - INFO - Epoch(val) [18][78/78] acc/top1: 0.6333 acc/top5: 0.8500 acc/mean1: 0.6331 2022/07/31 20:43:07 - mmengine - INFO - Epoch(train) [19][20/940] lr: 1.0000e-02 eta: 14:21:08 time: 0.8128 data_time: 0.5155 memory: 8322 grad_norm: 3.9024 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.6098 loss: 1.6098 2022/07/31 20:43:18 - mmengine - INFO - Epoch(train) [19][40/940] lr: 1.0000e-02 eta: 14:20:43 time: 0.5423 data_time: 0.1429 memory: 8322 grad_norm: 3.8906 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.7128 loss: 1.7128 2022/07/31 20:43:32 - mmengine - INFO - Epoch(train) [19][60/940] lr: 1.0000e-02 eta: 14:20:32 time: 0.6921 data_time: 0.2157 memory: 8322 grad_norm: 3.8949 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6505 loss: 1.6505 2022/07/31 20:43:43 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:43:43 - mmengine - INFO - Epoch(train) [19][80/940] lr: 1.0000e-02 eta: 14:20:09 time: 0.5716 data_time: 0.1450 memory: 8322 grad_norm: 3.9508 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.6289 loss: 1.6289 2022/07/31 20:43:58 - mmengine - INFO - Epoch(train) [19][100/940] lr: 1.0000e-02 eta: 14:20:02 time: 0.7377 data_time: 0.0872 memory: 8322 grad_norm: 3.9586 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.7616 loss: 1.7616 2022/07/31 20:44:10 - mmengine - INFO - Epoch(train) [19][120/940] lr: 1.0000e-02 eta: 14:19:41 time: 0.5875 data_time: 0.0290 memory: 8322 grad_norm: 3.9236 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7240 loss: 1.7240 2022/07/31 20:44:24 - mmengine - INFO - Epoch(train) [19][140/940] lr: 1.0000e-02 eta: 14:19:30 time: 0.6959 data_time: 0.0499 memory: 8322 grad_norm: 3.9484 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4785 loss: 1.4785 2022/07/31 20:44:35 - mmengine - INFO - Epoch(train) [19][160/940] lr: 1.0000e-02 eta: 14:19:07 time: 0.5671 data_time: 0.0376 memory: 8322 grad_norm: 3.9404 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.6156 loss: 1.6156 2022/07/31 20:44:50 - mmengine - INFO - Epoch(train) [19][180/940] lr: 1.0000e-02 eta: 14:18:59 time: 0.7219 data_time: 0.0404 memory: 8322 grad_norm: 3.9053 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.6326 loss: 1.6326 2022/07/31 20:45:02 - mmengine - INFO - Epoch(train) [19][200/940] lr: 1.0000e-02 eta: 14:18:41 time: 0.6239 data_time: 0.0279 memory: 8322 grad_norm: 3.9189 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6317 loss: 1.6317 2022/07/31 20:45:16 - mmengine - INFO - Epoch(train) [19][220/940] lr: 1.0000e-02 eta: 14:18:31 time: 0.7020 data_time: 0.0408 memory: 8322 grad_norm: 3.9017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6150 loss: 1.6150 2022/07/31 20:45:27 - mmengine - INFO - Epoch(train) [19][240/940] lr: 1.0000e-02 eta: 14:18:06 time: 0.5497 data_time: 0.0305 memory: 8322 grad_norm: 3.9824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5988 loss: 1.5988 2022/07/31 20:45:41 - mmengine - INFO - Epoch(train) [19][260/940] lr: 1.0000e-02 eta: 14:17:57 time: 0.7101 data_time: 0.0383 memory: 8322 grad_norm: 3.9197 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.7249 loss: 1.7249 2022/07/31 20:45:53 - mmengine - INFO - Epoch(train) [19][280/940] lr: 1.0000e-02 eta: 14:17:36 time: 0.5893 data_time: 0.0289 memory: 8322 grad_norm: 3.9426 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7432 loss: 1.7432 2022/07/31 20:46:08 - mmengine - INFO - Epoch(train) [19][300/940] lr: 1.0000e-02 eta: 14:17:27 time: 0.7198 data_time: 0.0446 memory: 8322 grad_norm: 3.9207 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7252 loss: 1.7252 2022/07/31 20:46:19 - mmengine - INFO - Epoch(train) [19][320/940] lr: 1.0000e-02 eta: 14:17:03 time: 0.5529 data_time: 0.0346 memory: 8322 grad_norm: 3.9315 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.6079 loss: 1.6079 2022/07/31 20:46:34 - mmengine - INFO - Epoch(train) [19][340/940] lr: 1.0000e-02 eta: 14:16:58 time: 0.7591 data_time: 0.0356 memory: 8322 grad_norm: 3.9485 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6012 loss: 1.6012 2022/07/31 20:46:45 - mmengine - INFO - Epoch(train) [19][360/940] lr: 1.0000e-02 eta: 14:16:35 time: 0.5615 data_time: 0.0266 memory: 8322 grad_norm: 3.9929 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5927 loss: 1.5927 2022/07/31 20:46:59 - mmengine - INFO - Epoch(train) [19][380/940] lr: 1.0000e-02 eta: 14:16:26 time: 0.7193 data_time: 0.0338 memory: 8322 grad_norm: 3.9438 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5965 loss: 1.5965 2022/07/31 20:47:11 - mmengine - INFO - Epoch(train) [19][400/940] lr: 1.0000e-02 eta: 14:16:03 time: 0.5647 data_time: 0.0283 memory: 8322 grad_norm: 3.9933 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7794 loss: 1.7794 2022/07/31 20:47:26 - mmengine - INFO - Epoch(train) [19][420/940] lr: 1.0000e-02 eta: 14:15:57 time: 0.7591 data_time: 0.0401 memory: 8322 grad_norm: 4.0373 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5436 loss: 1.5436 2022/07/31 20:47:37 - mmengine - INFO - Epoch(train) [19][440/940] lr: 1.0000e-02 eta: 14:15:34 time: 0.5548 data_time: 0.0399 memory: 8322 grad_norm: 3.9211 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5064 loss: 1.5064 2022/07/31 20:47:52 - mmengine - INFO - Epoch(train) [19][460/940] lr: 1.0000e-02 eta: 14:15:26 time: 0.7336 data_time: 0.0307 memory: 8322 grad_norm: 3.8633 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6874 loss: 1.6874 2022/07/31 20:48:03 - mmengine - INFO - Epoch(train) [19][480/940] lr: 1.0000e-02 eta: 14:15:05 time: 0.5840 data_time: 0.0290 memory: 8322 grad_norm: 3.9373 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6592 loss: 1.6592 2022/07/31 20:48:18 - mmengine - INFO - Epoch(train) [19][500/940] lr: 1.0000e-02 eta: 14:14:56 time: 0.7188 data_time: 0.0356 memory: 8322 grad_norm: 3.9572 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.5771 loss: 1.5771 2022/07/31 20:48:29 - mmengine - INFO - Epoch(train) [19][520/940] lr: 1.0000e-02 eta: 14:14:32 time: 0.5506 data_time: 0.0326 memory: 8322 grad_norm: 3.9375 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7618 loss: 1.7618 2022/07/31 20:48:44 - mmengine - INFO - Epoch(train) [19][540/940] lr: 1.0000e-02 eta: 14:14:27 time: 0.7693 data_time: 0.0380 memory: 8322 grad_norm: 3.9306 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.7032 loss: 1.7032 2022/07/31 20:48:54 - mmengine - INFO - Epoch(train) [19][560/940] lr: 1.0000e-02 eta: 14:13:58 time: 0.4863 data_time: 0.0318 memory: 8322 grad_norm: 3.9539 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6266 loss: 1.6266 2022/07/31 20:49:07 - mmengine - INFO - Epoch(train) [19][580/940] lr: 1.0000e-02 eta: 14:13:45 time: 0.6787 data_time: 0.0385 memory: 8322 grad_norm: 4.0256 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5684 loss: 1.5684 2022/07/31 20:49:18 - mmengine - INFO - Epoch(train) [19][600/940] lr: 1.0000e-02 eta: 14:13:22 time: 0.5540 data_time: 0.0349 memory: 8322 grad_norm: 3.9252 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.6932 loss: 1.6932 2022/07/31 20:49:35 - mmengine - INFO - Epoch(train) [19][620/940] lr: 1.0000e-02 eta: 14:13:21 time: 0.8085 data_time: 0.0389 memory: 8322 grad_norm: 3.9590 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5613 loss: 1.5613 2022/07/31 20:49:45 - mmengine - INFO - Epoch(train) [19][640/940] lr: 1.0000e-02 eta: 14:12:54 time: 0.5130 data_time: 0.0334 memory: 8322 grad_norm: 4.0344 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7398 loss: 1.7398 2022/07/31 20:50:00 - mmengine - INFO - Epoch(train) [19][660/940] lr: 1.0000e-02 eta: 14:12:46 time: 0.7400 data_time: 0.0530 memory: 8322 grad_norm: 3.9700 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7119 loss: 1.7119 2022/07/31 20:50:11 - mmengine - INFO - Epoch(train) [19][680/940] lr: 1.0000e-02 eta: 14:12:24 time: 0.5696 data_time: 0.0500 memory: 8322 grad_norm: 3.8624 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6690 loss: 1.6690 2022/07/31 20:50:25 - mmengine - INFO - Epoch(train) [19][700/940] lr: 1.0000e-02 eta: 14:12:14 time: 0.6997 data_time: 0.1245 memory: 8322 grad_norm: 4.0414 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7218 loss: 1.7218 2022/07/31 20:50:37 - mmengine - INFO - Epoch(train) [19][720/940] lr: 1.0000e-02 eta: 14:11:54 time: 0.5973 data_time: 0.0678 memory: 8322 grad_norm: 3.9759 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.7086 loss: 1.7086 2022/07/31 20:50:51 - mmengine - INFO - Epoch(train) [19][740/940] lr: 1.0000e-02 eta: 14:11:42 time: 0.6813 data_time: 0.0427 memory: 8322 grad_norm: 3.9093 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6695 loss: 1.6695 2022/07/31 20:51:04 - mmengine - INFO - Epoch(train) [19][760/940] lr: 1.0000e-02 eta: 14:11:28 time: 0.6681 data_time: 0.0292 memory: 8322 grad_norm: 3.9242 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.6758 loss: 1.6758 2022/07/31 20:51:17 - mmengine - INFO - Epoch(train) [19][780/940] lr: 1.0000e-02 eta: 14:11:11 time: 0.6325 data_time: 0.0357 memory: 8322 grad_norm: 3.9477 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7177 loss: 1.7177 2022/07/31 20:51:30 - mmengine - INFO - Epoch(train) [19][800/940] lr: 1.0000e-02 eta: 14:10:59 time: 0.6814 data_time: 0.0262 memory: 8322 grad_norm: 3.9691 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6033 loss: 1.6033 2022/07/31 20:51:43 - mmengine - INFO - Epoch(train) [19][820/940] lr: 1.0000e-02 eta: 14:10:42 time: 0.6298 data_time: 0.0404 memory: 8322 grad_norm: 3.9586 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6834 loss: 1.6834 2022/07/31 20:51:57 - mmengine - INFO - Epoch(train) [19][840/940] lr: 1.0000e-02 eta: 14:10:32 time: 0.7055 data_time: 0.0337 memory: 8322 grad_norm: 3.9459 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5601 loss: 1.5601 2022/07/31 20:52:09 - mmengine - INFO - Epoch(train) [19][860/940] lr: 1.0000e-02 eta: 14:10:11 time: 0.5854 data_time: 0.0404 memory: 8322 grad_norm: 3.9535 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7195 loss: 1.7195 2022/07/31 20:52:24 - mmengine - INFO - Epoch(train) [19][880/940] lr: 1.0000e-02 eta: 14:10:05 time: 0.7492 data_time: 0.0283 memory: 8322 grad_norm: 3.9694 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8452 loss: 1.8452 2022/07/31 20:52:34 - mmengine - INFO - Epoch(train) [19][900/940] lr: 1.0000e-02 eta: 14:09:39 time: 0.5208 data_time: 0.0371 memory: 8322 grad_norm: 3.9288 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6804 loss: 1.6804 2022/07/31 20:52:48 - mmengine - INFO - Epoch(train) [19][920/940] lr: 1.0000e-02 eta: 14:09:29 time: 0.7129 data_time: 0.0287 memory: 8322 grad_norm: 3.9228 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6813 loss: 1.6813 2022/07/31 20:52:57 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:52:57 - mmengine - INFO - Epoch(train) [19][940/940] lr: 1.0000e-02 eta: 14:08:57 time: 0.4533 data_time: 0.0302 memory: 8322 grad_norm: 4.2105 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6289 loss: 1.6289 2022/07/31 20:53:11 - mmengine - INFO - Epoch(val) [19][20/78] eta: 0:00:38 time: 0.6659 data_time: 0.5998 memory: 1463 2022/07/31 20:53:20 - mmengine - INFO - Epoch(val) [19][40/78] eta: 0:00:16 time: 0.4426 data_time: 0.3804 memory: 1463 2022/07/31 20:53:33 - mmengine - INFO - Epoch(val) [19][60/78] eta: 0:00:11 time: 0.6461 data_time: 0.5793 memory: 1463 2022/07/31 20:53:45 - mmengine - INFO - Epoch(val) [19][78/78] acc/top1: 0.6405 acc/top5: 0.8559 acc/mean1: 0.6403 2022/07/31 20:53:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_17.pth is removed 2022/07/31 20:53:46 - mmengine - INFO - The best checkpoint with 0.6405 acc/top1 at 20 epoch is saved to best_acc/top1_epoch_20.pth. 2022/07/31 20:54:03 - mmengine - INFO - Epoch(train) [20][20/940] lr: 1.0000e-02 eta: 14:08:56 time: 0.8155 data_time: 0.6008 memory: 8322 grad_norm: 3.8893 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5325 loss: 1.5325 2022/07/31 20:54:14 - mmengine - INFO - Epoch(train) [20][40/940] lr: 1.0000e-02 eta: 14:08:33 time: 0.5472 data_time: 0.2985 memory: 8322 grad_norm: 3.9197 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.6893 loss: 1.6893 2022/07/31 20:54:28 - mmengine - INFO - Epoch(train) [20][60/940] lr: 1.0000e-02 eta: 14:08:24 time: 0.7208 data_time: 0.4637 memory: 8322 grad_norm: 3.9580 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5786 loss: 1.5786 2022/07/31 20:54:39 - mmengine - INFO - Epoch(train) [20][80/940] lr: 1.0000e-02 eta: 14:08:01 time: 0.5552 data_time: 0.3301 memory: 8322 grad_norm: 3.9856 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6672 loss: 1.6672 2022/07/31 20:54:55 - mmengine - INFO - Epoch(train) [20][100/940] lr: 1.0000e-02 eta: 14:07:56 time: 0.7681 data_time: 0.4919 memory: 8322 grad_norm: 3.9112 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6274 loss: 1.6274 2022/07/31 20:55:06 - mmengine - INFO - Epoch(train) [20][120/940] lr: 1.0000e-02 eta: 14:07:32 time: 0.5473 data_time: 0.3299 memory: 8322 grad_norm: 3.8941 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5356 loss: 1.5356 2022/07/31 20:55:21 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 20:55:21 - mmengine - INFO - Epoch(train) [20][140/940] lr: 1.0000e-02 eta: 14:07:26 time: 0.7551 data_time: 0.5122 memory: 8322 grad_norm: 3.9931 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.6853 loss: 1.6853 2022/07/31 20:55:32 - mmengine - INFO - Epoch(train) [20][160/940] lr: 1.0000e-02 eta: 14:07:06 time: 0.5894 data_time: 0.2366 memory: 8322 grad_norm: 3.9443 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.5686 loss: 1.5686 2022/07/31 20:55:46 - mmengine - INFO - Epoch(train) [20][180/940] lr: 1.0000e-02 eta: 14:06:52 time: 0.6602 data_time: 0.3000 memory: 8322 grad_norm: 3.9661 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6998 loss: 1.6998 2022/07/31 20:55:58 - mmengine - INFO - Epoch(train) [20][200/940] lr: 1.0000e-02 eta: 14:06:33 time: 0.6031 data_time: 0.2056 memory: 8322 grad_norm: 3.9556 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.7052 loss: 1.7052 2022/07/31 20:56:13 - mmengine - INFO - Epoch(train) [20][220/940] lr: 1.0000e-02 eta: 14:06:27 time: 0.7539 data_time: 0.3727 memory: 8322 grad_norm: 3.9590 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4905 loss: 1.4905 2022/07/31 20:56:23 - mmengine - INFO - Epoch(train) [20][240/940] lr: 1.0000e-02 eta: 14:05:59 time: 0.5038 data_time: 0.2146 memory: 8322 grad_norm: 3.9504 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6299 loss: 1.6299 2022/07/31 20:56:37 - mmengine - INFO - Epoch(train) [20][260/940] lr: 1.0000e-02 eta: 14:05:47 time: 0.6820 data_time: 0.1958 memory: 8322 grad_norm: 3.9031 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6003 loss: 1.6003 2022/07/31 20:56:48 - mmengine - INFO - Epoch(train) [20][280/940] lr: 1.0000e-02 eta: 14:05:28 time: 0.5981 data_time: 0.1508 memory: 8322 grad_norm: 3.9104 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.6660 loss: 1.6660 2022/07/31 20:57:03 - mmengine - INFO - Epoch(train) [20][300/940] lr: 1.0000e-02 eta: 14:05:18 time: 0.7069 data_time: 0.2291 memory: 8322 grad_norm: 3.9816 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5987 loss: 1.5987 2022/07/31 20:57:14 - mmengine - INFO - Epoch(train) [20][320/940] lr: 1.0000e-02 eta: 14:04:58 time: 0.5907 data_time: 0.1047 memory: 8322 grad_norm: 4.0118 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5504 loss: 1.5504 2022/07/31 20:57:28 - mmengine - INFO - Epoch(train) [20][340/940] lr: 1.0000e-02 eta: 14:04:47 time: 0.7018 data_time: 0.1003 memory: 8322 grad_norm: 3.8940 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5374 loss: 1.5374 2022/07/31 20:57:39 - mmengine - INFO - Epoch(train) [20][360/940] lr: 1.0000e-02 eta: 14:04:23 time: 0.5440 data_time: 0.0605 memory: 8322 grad_norm: 3.9290 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6329 loss: 1.6329 2022/07/31 20:57:55 - mmengine - INFO - Epoch(train) [20][380/940] lr: 1.0000e-02 eta: 14:04:18 time: 0.7690 data_time: 0.0363 memory: 8322 grad_norm: 3.9902 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5933 loss: 1.5933 2022/07/31 20:58:05 - mmengine - INFO - Epoch(train) [20][400/940] lr: 1.0000e-02 eta: 14:03:53 time: 0.5212 data_time: 0.0290 memory: 8322 grad_norm: 4.0012 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7520 loss: 1.7520 2022/07/31 20:58:20 - mmengine - INFO - Epoch(train) [20][420/940] lr: 1.0000e-02 eta: 14:03:47 time: 0.7615 data_time: 0.0358 memory: 8322 grad_norm: 3.9800 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6879 loss: 1.6879 2022/07/31 20:58:32 - mmengine - INFO - Epoch(train) [20][440/940] lr: 1.0000e-02 eta: 14:03:28 time: 0.5956 data_time: 0.0262 memory: 8322 grad_norm: 3.8588 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6812 loss: 1.6812 2022/07/31 20:58:46 - mmengine - INFO - Epoch(train) [20][460/940] lr: 1.0000e-02 eta: 14:03:17 time: 0.7045 data_time: 0.0383 memory: 8322 grad_norm: 3.8934 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4728 loss: 1.4728 2022/07/31 20:58:58 - mmengine - INFO - Epoch(train) [20][480/940] lr: 1.0000e-02 eta: 14:02:57 time: 0.5870 data_time: 0.0342 memory: 8322 grad_norm: 3.9444 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6759 loss: 1.6759 2022/07/31 20:59:13 - mmengine - INFO - Epoch(train) [20][500/940] lr: 1.0000e-02 eta: 14:02:49 time: 0.7314 data_time: 0.0416 memory: 8322 grad_norm: 3.9397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6082 loss: 1.6082 2022/07/31 20:59:24 - mmengine - INFO - Epoch(train) [20][520/940] lr: 1.0000e-02 eta: 14:02:28 time: 0.5783 data_time: 0.0339 memory: 8322 grad_norm: 3.9801 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.5954 loss: 1.5954 2022/07/31 20:59:39 - mmengine - INFO - Epoch(train) [20][540/940] lr: 1.0000e-02 eta: 14:02:20 time: 0.7369 data_time: 0.0346 memory: 8322 grad_norm: 4.0214 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.6657 loss: 1.6657 2022/07/31 20:59:50 - mmengine - INFO - Epoch(train) [20][560/940] lr: 1.0000e-02 eta: 14:01:59 time: 0.5690 data_time: 0.0397 memory: 8322 grad_norm: 3.9192 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5988 loss: 1.5988 2022/07/31 21:00:05 - mmengine - INFO - Epoch(train) [20][580/940] lr: 1.0000e-02 eta: 14:01:52 time: 0.7508 data_time: 0.0353 memory: 8322 grad_norm: 3.9407 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.5290 loss: 1.5290 2022/07/31 21:00:18 - mmengine - INFO - Epoch(train) [20][600/940] lr: 1.0000e-02 eta: 14:01:34 time: 0.6026 data_time: 0.0275 memory: 8322 grad_norm: 3.9887 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5907 loss: 1.5907 2022/07/31 21:00:32 - mmengine - INFO - Epoch(train) [20][620/940] lr: 1.0000e-02 eta: 14:01:23 time: 0.7065 data_time: 0.0349 memory: 8322 grad_norm: 3.9769 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6932 loss: 1.6932 2022/07/31 21:00:43 - mmengine - INFO - Epoch(train) [20][640/940] lr: 1.0000e-02 eta: 14:01:00 time: 0.5442 data_time: 0.0358 memory: 8322 grad_norm: 4.0136 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6538 loss: 1.6538 2022/07/31 21:00:57 - mmengine - INFO - Epoch(train) [20][660/940] lr: 1.0000e-02 eta: 14:00:53 time: 0.7450 data_time: 0.0342 memory: 8322 grad_norm: 4.0142 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6977 loss: 1.6977 2022/07/31 21:01:08 - mmengine - INFO - Epoch(train) [20][680/940] lr: 1.0000e-02 eta: 14:00:29 time: 0.5435 data_time: 0.0330 memory: 8322 grad_norm: 3.8795 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6325 loss: 1.6325 2022/07/31 21:01:23 - mmengine - INFO - Epoch(train) [20][700/940] lr: 1.0000e-02 eta: 14:00:20 time: 0.7220 data_time: 0.0365 memory: 8322 grad_norm: 3.9492 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5160 loss: 1.5160 2022/07/31 21:01:33 - mmengine - INFO - Epoch(train) [20][720/940] lr: 1.0000e-02 eta: 13:59:56 time: 0.5305 data_time: 0.0410 memory: 8322 grad_norm: 4.0037 top1_acc: 0.4375 top5_acc: 0.6562 loss_cls: 1.7750 loss: 1.7750 2022/07/31 21:01:48 - mmengine - INFO - Epoch(train) [20][740/940] lr: 1.0000e-02 eta: 13:59:47 time: 0.7318 data_time: 0.0313 memory: 8322 grad_norm: 4.0385 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6597 loss: 1.6597 2022/07/31 21:02:00 - mmengine - INFO - Epoch(train) [20][760/940] lr: 1.0000e-02 eta: 13:59:27 time: 0.5811 data_time: 0.0350 memory: 8322 grad_norm: 3.9771 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6809 loss: 1.6809 2022/07/31 21:02:13 - mmengine - INFO - Epoch(train) [20][780/940] lr: 1.0000e-02 eta: 13:59:13 time: 0.6562 data_time: 0.0340 memory: 8322 grad_norm: 3.9972 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6950 loss: 1.6950 2022/07/31 21:02:24 - mmengine - INFO - Epoch(train) [20][800/940] lr: 1.0000e-02 eta: 13:58:50 time: 0.5544 data_time: 0.0367 memory: 8322 grad_norm: 3.9693 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.7592 loss: 1.7592 2022/07/31 21:02:38 - mmengine - INFO - Epoch(train) [20][820/940] lr: 1.0000e-02 eta: 13:58:40 time: 0.7063 data_time: 0.0406 memory: 8322 grad_norm: 3.9754 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.8094 loss: 1.8094 2022/07/31 21:02:49 - mmengine - INFO - Epoch(train) [20][840/940] lr: 1.0000e-02 eta: 13:58:18 time: 0.5651 data_time: 0.0345 memory: 8322 grad_norm: 4.0730 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.6695 loss: 1.6695 2022/07/31 21:03:04 - mmengine - INFO - Epoch(train) [20][860/940] lr: 1.0000e-02 eta: 13:58:10 time: 0.7357 data_time: 0.0482 memory: 8322 grad_norm: 3.9636 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6438 loss: 1.6438 2022/07/31 21:03:15 - mmengine - INFO - Epoch(train) [20][880/940] lr: 1.0000e-02 eta: 13:57:49 time: 0.5701 data_time: 0.0358 memory: 8322 grad_norm: 3.9673 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6518 loss: 1.6518 2022/07/31 21:03:32 - mmengine - INFO - Epoch(train) [20][900/940] lr: 1.0000e-02 eta: 13:57:47 time: 0.8056 data_time: 0.0365 memory: 8322 grad_norm: 3.9049 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4699 loss: 1.4699 2022/07/31 21:03:43 - mmengine - INFO - Epoch(train) [20][920/940] lr: 1.0000e-02 eta: 13:57:25 time: 0.5665 data_time: 0.0293 memory: 8322 grad_norm: 3.9868 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.7076 loss: 1.7076 2022/07/31 21:03:55 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:03:55 - mmengine - INFO - Epoch(train) [20][940/940] lr: 1.0000e-02 eta: 13:57:07 time: 0.6108 data_time: 0.0270 memory: 8322 grad_norm: 4.1822 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 1.7497 loss: 1.7497 2022/07/31 21:04:09 - mmengine - INFO - Epoch(val) [20][20/78] eta: 0:00:38 time: 0.6715 data_time: 0.6058 memory: 1463 2022/07/31 21:04:17 - mmengine - INFO - Epoch(val) [20][40/78] eta: 0:00:16 time: 0.4317 data_time: 0.3695 memory: 1463 2022/07/31 21:04:30 - mmengine - INFO - Epoch(val) [20][60/78] eta: 0:00:11 time: 0.6477 data_time: 0.5850 memory: 1463 2022/07/31 21:04:40 - mmengine - INFO - Epoch(val) [20][78/78] acc/top1: 0.6288 acc/top5: 0.8520 acc/mean1: 0.6286 2022/07/31 21:04:57 - mmengine - INFO - Epoch(train) [21][20/940] lr: 1.0000e-02 eta: 13:57:06 time: 0.8198 data_time: 0.5597 memory: 8322 grad_norm: 3.9256 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5667 loss: 1.5667 2022/07/31 21:05:09 - mmengine - INFO - Epoch(train) [21][40/940] lr: 1.0000e-02 eta: 13:56:46 time: 0.5812 data_time: 0.2844 memory: 8322 grad_norm: 3.9646 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5418 loss: 1.5418 2022/07/31 21:05:23 - mmengine - INFO - Epoch(train) [21][60/940] lr: 1.0000e-02 eta: 13:56:37 time: 0.7331 data_time: 0.3479 memory: 8322 grad_norm: 4.0199 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.7008 loss: 1.7008 2022/07/31 21:05:35 - mmengine - INFO - Epoch(train) [21][80/940] lr: 1.0000e-02 eta: 13:56:17 time: 0.5790 data_time: 0.0814 memory: 8322 grad_norm: 3.9349 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6676 loss: 1.6676 2022/07/31 21:05:50 - mmengine - INFO - Epoch(train) [21][100/940] lr: 1.0000e-02 eta: 13:56:11 time: 0.7636 data_time: 0.0404 memory: 8322 grad_norm: 3.9681 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5439 loss: 1.5439 2022/07/31 21:06:01 - mmengine - INFO - Epoch(train) [21][120/940] lr: 1.0000e-02 eta: 13:55:49 time: 0.5573 data_time: 0.0347 memory: 8322 grad_norm: 3.9290 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5685 loss: 1.5685 2022/07/31 21:06:16 - mmengine - INFO - Epoch(train) [21][140/940] lr: 1.0000e-02 eta: 13:55:43 time: 0.7553 data_time: 0.0504 memory: 8322 grad_norm: 3.9987 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6308 loss: 1.6308 2022/07/31 21:06:27 - mmengine - INFO - Epoch(train) [21][160/940] lr: 1.0000e-02 eta: 13:55:19 time: 0.5353 data_time: 0.0309 memory: 8322 grad_norm: 4.0137 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.6790 loss: 1.6790 2022/07/31 21:06:42 - mmengine - INFO - Epoch(train) [21][180/940] lr: 1.0000e-02 eta: 13:55:11 time: 0.7377 data_time: 0.0384 memory: 8322 grad_norm: 3.9540 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5822 loss: 1.5822 2022/07/31 21:06:53 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:06:53 - mmengine - INFO - Epoch(train) [21][200/940] lr: 1.0000e-02 eta: 13:54:50 time: 0.5674 data_time: 0.0348 memory: 8322 grad_norm: 3.8933 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.8426 loss: 1.8426 2022/07/31 21:07:08 - mmengine - INFO - Epoch(train) [21][220/940] lr: 1.0000e-02 eta: 13:54:41 time: 0.7274 data_time: 0.0362 memory: 8322 grad_norm: 4.0558 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7341 loss: 1.7341 2022/07/31 21:07:18 - mmengine - INFO - Epoch(train) [21][240/940] lr: 1.0000e-02 eta: 13:54:15 time: 0.5027 data_time: 0.0354 memory: 8322 grad_norm: 3.8958 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4759 loss: 1.4759 2022/07/31 21:07:32 - mmengine - INFO - Epoch(train) [21][260/940] lr: 1.0000e-02 eta: 13:54:05 time: 0.7143 data_time: 0.0411 memory: 8322 grad_norm: 3.9820 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6708 loss: 1.6708 2022/07/31 21:07:44 - mmengine - INFO - Epoch(train) [21][280/940] lr: 1.0000e-02 eta: 13:53:46 time: 0.5949 data_time: 0.0371 memory: 8322 grad_norm: 4.0543 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.5401 loss: 1.5401 2022/07/31 21:07:58 - mmengine - INFO - Epoch(train) [21][300/940] lr: 1.0000e-02 eta: 13:53:34 time: 0.6868 data_time: 0.0409 memory: 8322 grad_norm: 3.9689 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6887 loss: 1.6887 2022/07/31 21:08:12 - mmengine - INFO - Epoch(train) [21][320/940] lr: 1.0000e-02 eta: 13:53:23 time: 0.6970 data_time: 0.0489 memory: 8322 grad_norm: 4.0459 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5897 loss: 1.5897 2022/07/31 21:08:23 - mmengine - INFO - Epoch(train) [21][340/940] lr: 1.0000e-02 eta: 13:53:03 time: 0.5822 data_time: 0.1170 memory: 8322 grad_norm: 4.0181 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5956 loss: 1.5956 2022/07/31 21:08:39 - mmengine - INFO - Epoch(train) [21][360/940] lr: 1.0000e-02 eta: 13:52:58 time: 0.7810 data_time: 0.1483 memory: 8322 grad_norm: 3.9450 top1_acc: 0.5938 top5_acc: 0.9688 loss_cls: 1.4396 loss: 1.4396 2022/07/31 21:08:49 - mmengine - INFO - Epoch(train) [21][380/940] lr: 1.0000e-02 eta: 13:52:32 time: 0.5042 data_time: 0.0653 memory: 8322 grad_norm: 4.1396 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7472 loss: 1.7472 2022/07/31 21:09:03 - mmengine - INFO - Epoch(train) [21][400/940] lr: 1.0000e-02 eta: 13:52:23 time: 0.7148 data_time: 0.1994 memory: 8322 grad_norm: 3.9297 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.6979 loss: 1.6979 2022/07/31 21:09:14 - mmengine - INFO - Epoch(train) [21][420/940] lr: 1.0000e-02 eta: 13:52:00 time: 0.5535 data_time: 0.0811 memory: 8322 grad_norm: 3.9693 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6329 loss: 1.6329 2022/07/31 21:09:28 - mmengine - INFO - Epoch(train) [21][440/940] lr: 1.0000e-02 eta: 13:51:49 time: 0.6915 data_time: 0.0918 memory: 8322 grad_norm: 3.9641 top1_acc: 0.6875 top5_acc: 0.7188 loss_cls: 1.6747 loss: 1.6747 2022/07/31 21:09:42 - mmengine - INFO - Epoch(train) [21][460/940] lr: 1.0000e-02 eta: 13:51:36 time: 0.6678 data_time: 0.0343 memory: 8322 grad_norm: 3.9694 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6240 loss: 1.6240 2022/07/31 21:09:54 - mmengine - INFO - Epoch(train) [21][480/940] lr: 1.0000e-02 eta: 13:51:20 time: 0.6371 data_time: 0.0367 memory: 8322 grad_norm: 4.1056 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7077 loss: 1.7077 2022/07/31 21:10:07 - mmengine - INFO - Epoch(train) [21][500/940] lr: 1.0000e-02 eta: 13:51:05 time: 0.6432 data_time: 0.0435 memory: 8322 grad_norm: 3.9595 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6588 loss: 1.6588 2022/07/31 21:10:20 - mmengine - INFO - Epoch(train) [21][520/940] lr: 1.0000e-02 eta: 13:50:48 time: 0.6320 data_time: 0.0317 memory: 8322 grad_norm: 3.9680 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5725 loss: 1.5725 2022/07/31 21:10:32 - mmengine - INFO - Epoch(train) [21][540/940] lr: 1.0000e-02 eta: 13:50:29 time: 0.5941 data_time: 0.0320 memory: 8322 grad_norm: 3.9230 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.6262 loss: 1.6262 2022/07/31 21:10:46 - mmengine - INFO - Epoch(train) [21][560/940] lr: 1.0000e-02 eta: 13:50:22 time: 0.7395 data_time: 0.0383 memory: 8322 grad_norm: 3.9535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4999 loss: 1.4999 2022/07/31 21:10:58 - mmengine - INFO - Epoch(train) [21][580/940] lr: 1.0000e-02 eta: 13:50:02 time: 0.5797 data_time: 0.0384 memory: 8322 grad_norm: 4.0029 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.6614 loss: 1.6614 2022/07/31 21:11:12 - mmengine - INFO - Epoch(train) [21][600/940] lr: 1.0000e-02 eta: 13:49:50 time: 0.6965 data_time: 0.0390 memory: 8322 grad_norm: 3.9589 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/07/31 21:11:23 - mmengine - INFO - Epoch(train) [21][620/940] lr: 1.0000e-02 eta: 13:49:28 time: 0.5471 data_time: 0.0388 memory: 8322 grad_norm: 3.9548 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6230 loss: 1.6230 2022/07/31 21:11:39 - mmengine - INFO - Epoch(train) [21][640/940] lr: 1.0000e-02 eta: 13:49:23 time: 0.7784 data_time: 0.0385 memory: 8322 grad_norm: 3.9470 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6052 loss: 1.6052 2022/07/31 21:11:49 - mmengine - INFO - Epoch(train) [21][660/940] lr: 1.0000e-02 eta: 13:49:00 time: 0.5420 data_time: 0.0335 memory: 8322 grad_norm: 4.0424 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6509 loss: 1.6509 2022/07/31 21:12:04 - mmengine - INFO - Epoch(train) [21][680/940] lr: 1.0000e-02 eta: 13:48:52 time: 0.7305 data_time: 0.0347 memory: 8322 grad_norm: 4.0290 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6897 loss: 1.6897 2022/07/31 21:12:16 - mmengine - INFO - Epoch(train) [21][700/940] lr: 1.0000e-02 eta: 13:48:33 time: 0.6044 data_time: 0.0400 memory: 8322 grad_norm: 3.9915 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6875 loss: 1.6875 2022/07/31 21:12:30 - mmengine - INFO - Epoch(train) [21][720/940] lr: 1.0000e-02 eta: 13:48:24 time: 0.7176 data_time: 0.0335 memory: 8322 grad_norm: 4.0464 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5943 loss: 1.5943 2022/07/31 21:12:42 - mmengine - INFO - Epoch(train) [21][740/940] lr: 1.0000e-02 eta: 13:48:03 time: 0.5638 data_time: 0.0350 memory: 8322 grad_norm: 4.0510 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5158 loss: 1.5158 2022/07/31 21:12:57 - mmengine - INFO - Epoch(train) [21][760/940] lr: 1.0000e-02 eta: 13:47:56 time: 0.7530 data_time: 0.0484 memory: 8322 grad_norm: 4.0124 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6073 loss: 1.6073 2022/07/31 21:13:08 - mmengine - INFO - Epoch(train) [21][780/940] lr: 1.0000e-02 eta: 13:47:34 time: 0.5592 data_time: 0.0325 memory: 8322 grad_norm: 4.0153 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4654 loss: 1.4654 2022/07/31 21:13:23 - mmengine - INFO - Epoch(train) [21][800/940] lr: 1.0000e-02 eta: 13:47:27 time: 0.7435 data_time: 0.0383 memory: 8322 grad_norm: 3.9773 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5508 loss: 1.5508 2022/07/31 21:13:34 - mmengine - INFO - Epoch(train) [21][820/940] lr: 1.0000e-02 eta: 13:47:03 time: 0.5339 data_time: 0.0401 memory: 8322 grad_norm: 3.9648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5943 loss: 1.5943 2022/07/31 21:13:48 - mmengine - INFO - Epoch(train) [21][840/940] lr: 1.0000e-02 eta: 13:46:55 time: 0.7298 data_time: 0.0376 memory: 8322 grad_norm: 4.0053 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.6126 loss: 1.6126 2022/07/31 21:14:00 - mmengine - INFO - Epoch(train) [21][860/940] lr: 1.0000e-02 eta: 13:46:36 time: 0.6001 data_time: 0.0478 memory: 8322 grad_norm: 4.0172 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6521 loss: 1.6521 2022/07/31 21:14:15 - mmengine - INFO - Epoch(train) [21][880/940] lr: 1.0000e-02 eta: 13:46:30 time: 0.7553 data_time: 0.0340 memory: 8322 grad_norm: 3.9355 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.6148 loss: 1.6148 2022/07/31 21:14:25 - mmengine - INFO - Epoch(train) [21][900/940] lr: 1.0000e-02 eta: 13:46:04 time: 0.5094 data_time: 0.0376 memory: 8322 grad_norm: 4.0785 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6958 loss: 1.6958 2022/07/31 21:14:39 - mmengine - INFO - Epoch(train) [21][920/940] lr: 1.0000e-02 eta: 13:45:53 time: 0.6968 data_time: 0.0337 memory: 8322 grad_norm: 3.9118 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6186 loss: 1.6186 2022/07/31 21:14:49 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:14:49 - mmengine - INFO - Epoch(train) [21][940/940] lr: 1.0000e-02 eta: 13:45:27 time: 0.4960 data_time: 0.0276 memory: 8322 grad_norm: 4.2779 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6646 loss: 1.6646 2022/07/31 21:14:49 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/07/31 21:15:05 - mmengine - INFO - Epoch(val) [21][20/78] eta: 0:00:41 time: 0.7079 data_time: 0.6252 memory: 1463 2022/07/31 21:15:14 - mmengine - INFO - Epoch(val) [21][40/78] eta: 0:00:15 time: 0.4089 data_time: 0.3478 memory: 1463 2022/07/31 21:15:27 - mmengine - INFO - Epoch(val) [21][60/78] eta: 0:00:11 time: 0.6448 data_time: 0.5813 memory: 1463 2022/07/31 21:15:36 - mmengine - INFO - Epoch(val) [21][78/78] acc/top1: 0.6318 acc/top5: 0.8496 acc/mean1: 0.6316 2022/07/31 21:15:52 - mmengine - INFO - Epoch(train) [22][20/940] lr: 1.0000e-02 eta: 13:45:23 time: 0.7904 data_time: 0.5651 memory: 8322 grad_norm: 3.9877 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6358 loss: 1.6358 2022/07/31 21:16:04 - mmengine - INFO - Epoch(train) [22][40/940] lr: 1.0000e-02 eta: 13:45:03 time: 0.5783 data_time: 0.3738 memory: 8322 grad_norm: 3.9705 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5216 loss: 1.5216 2022/07/31 21:16:19 - mmengine - INFO - Epoch(train) [22][60/940] lr: 1.0000e-02 eta: 13:44:57 time: 0.7697 data_time: 0.5458 memory: 8322 grad_norm: 3.9563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6992 loss: 1.6992 2022/07/31 21:16:30 - mmengine - INFO - Epoch(train) [22][80/940] lr: 1.0000e-02 eta: 13:44:35 time: 0.5488 data_time: 0.3397 memory: 8322 grad_norm: 3.9432 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5099 loss: 1.5099 2022/07/31 21:16:44 - mmengine - INFO - Epoch(train) [22][100/940] lr: 1.0000e-02 eta: 13:44:24 time: 0.6976 data_time: 0.4852 memory: 8322 grad_norm: 3.8943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5245 loss: 1.5245 2022/07/31 21:16:58 - mmengine - INFO - Epoch(train) [22][120/940] lr: 1.0000e-02 eta: 13:44:12 time: 0.6831 data_time: 0.4129 memory: 8322 grad_norm: 3.9397 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5930 loss: 1.5930 2022/07/31 21:17:10 - mmengine - INFO - Epoch(train) [22][140/940] lr: 1.0000e-02 eta: 13:43:55 time: 0.6241 data_time: 0.3565 memory: 8322 grad_norm: 3.9327 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5529 loss: 1.5529 2022/07/31 21:17:23 - mmengine - INFO - Epoch(train) [22][160/940] lr: 1.0000e-02 eta: 13:43:40 time: 0.6447 data_time: 0.2988 memory: 8322 grad_norm: 3.9405 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4164 loss: 1.4164 2022/07/31 21:17:37 - mmengine - INFO - Epoch(train) [22][180/940] lr: 1.0000e-02 eta: 13:43:28 time: 0.6734 data_time: 0.0611 memory: 8322 grad_norm: 3.9642 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6316 loss: 1.6316 2022/07/31 21:17:49 - mmengine - INFO - Epoch(train) [22][200/940] lr: 1.0000e-02 eta: 13:43:12 time: 0.6322 data_time: 0.2120 memory: 8322 grad_norm: 4.0076 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6824 loss: 1.6824 2022/07/31 21:18:01 - mmengine - INFO - Epoch(train) [22][220/940] lr: 1.0000e-02 eta: 13:42:53 time: 0.5965 data_time: 0.2381 memory: 8322 grad_norm: 3.9974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5292 loss: 1.5292 2022/07/31 21:18:15 - mmengine - INFO - Epoch(train) [22][240/940] lr: 1.0000e-02 eta: 13:42:40 time: 0.6652 data_time: 0.3007 memory: 8322 grad_norm: 3.9989 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7560 loss: 1.7560 2022/07/31 21:18:28 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:18:28 - mmengine - INFO - Epoch(train) [22][260/940] lr: 1.0000e-02 eta: 13:42:25 time: 0.6524 data_time: 0.1704 memory: 8322 grad_norm: 3.9465 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6346 loss: 1.6346 2022/07/31 21:18:40 - mmengine - INFO - Epoch(train) [22][280/940] lr: 1.0000e-02 eta: 13:42:07 time: 0.6075 data_time: 0.2690 memory: 8322 grad_norm: 4.0333 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.5345 loss: 1.5345 2022/07/31 21:18:53 - mmengine - INFO - Epoch(train) [22][300/940] lr: 1.0000e-02 eta: 13:41:54 time: 0.6681 data_time: 0.1621 memory: 8322 grad_norm: 3.9885 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7187 loss: 1.7187 2022/07/31 21:19:05 - mmengine - INFO - Epoch(train) [22][320/940] lr: 1.0000e-02 eta: 13:41:36 time: 0.5969 data_time: 0.1694 memory: 8322 grad_norm: 4.0344 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5765 loss: 1.5765 2022/07/31 21:19:18 - mmengine - INFO - Epoch(train) [22][340/940] lr: 1.0000e-02 eta: 13:41:22 time: 0.6626 data_time: 0.1495 memory: 8322 grad_norm: 4.0592 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6463 loss: 1.6463 2022/07/31 21:19:31 - mmengine - INFO - Epoch(train) [22][360/940] lr: 1.0000e-02 eta: 13:41:08 time: 0.6566 data_time: 0.3736 memory: 8322 grad_norm: 4.0087 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.6166 loss: 1.6166 2022/07/31 21:19:45 - mmengine - INFO - Epoch(train) [22][380/940] lr: 1.0000e-02 eta: 13:40:55 time: 0.6655 data_time: 0.2216 memory: 8322 grad_norm: 3.9468 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7431 loss: 1.7431 2022/07/31 21:19:57 - mmengine - INFO - Epoch(train) [22][400/940] lr: 1.0000e-02 eta: 13:40:37 time: 0.6027 data_time: 0.1370 memory: 8322 grad_norm: 3.9852 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6978 loss: 1.6978 2022/07/31 21:20:10 - mmengine - INFO - Epoch(train) [22][420/940] lr: 1.0000e-02 eta: 13:40:24 time: 0.6818 data_time: 0.1138 memory: 8322 grad_norm: 3.9571 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5808 loss: 1.5808 2022/07/31 21:20:23 - mmengine - INFO - Epoch(train) [22][440/940] lr: 1.0000e-02 eta: 13:40:07 time: 0.6144 data_time: 0.1676 memory: 8322 grad_norm: 3.9283 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5785 loss: 1.5785 2022/07/31 21:20:37 - mmengine - INFO - Epoch(train) [22][460/940] lr: 1.0000e-02 eta: 13:39:57 time: 0.7091 data_time: 0.1213 memory: 8322 grad_norm: 3.9183 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5547 loss: 1.5547 2022/07/31 21:20:48 - mmengine - INFO - Epoch(train) [22][480/940] lr: 1.0000e-02 eta: 13:39:35 time: 0.5542 data_time: 0.1764 memory: 8322 grad_norm: 4.0337 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5715 loss: 1.5715 2022/07/31 21:21:01 - mmengine - INFO - Epoch(train) [22][500/940] lr: 1.0000e-02 eta: 13:39:22 time: 0.6672 data_time: 0.1385 memory: 8322 grad_norm: 3.9947 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5863 loss: 1.5863 2022/07/31 21:21:14 - mmengine - INFO - Epoch(train) [22][520/940] lr: 1.0000e-02 eta: 13:39:05 time: 0.6137 data_time: 0.2508 memory: 8322 grad_norm: 4.0378 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.7009 loss: 1.7009 2022/07/31 21:21:28 - mmengine - INFO - Epoch(train) [22][540/940] lr: 1.0000e-02 eta: 13:38:53 time: 0.6860 data_time: 0.1199 memory: 8322 grad_norm: 4.0422 top1_acc: 0.4062 top5_acc: 0.7500 loss_cls: 1.6766 loss: 1.6766 2022/07/31 21:21:39 - mmengine - INFO - Epoch(train) [22][560/940] lr: 1.0000e-02 eta: 13:38:34 time: 0.5839 data_time: 0.2366 memory: 8322 grad_norm: 3.9725 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.7657 loss: 1.7657 2022/07/31 21:21:53 - mmengine - INFO - Epoch(train) [22][580/940] lr: 1.0000e-02 eta: 13:38:22 time: 0.6864 data_time: 0.1569 memory: 8322 grad_norm: 4.0114 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.6214 loss: 1.6214 2022/07/31 21:22:05 - mmengine - INFO - Epoch(train) [22][600/940] lr: 1.0000e-02 eta: 13:38:04 time: 0.6010 data_time: 0.1327 memory: 8322 grad_norm: 4.0973 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7016 loss: 1.7016 2022/07/31 21:22:18 - mmengine - INFO - Epoch(train) [22][620/940] lr: 1.0000e-02 eta: 13:37:49 time: 0.6522 data_time: 0.0849 memory: 8322 grad_norm: 4.0444 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7467 loss: 1.7467 2022/07/31 21:22:31 - mmengine - INFO - Epoch(train) [22][640/940] lr: 1.0000e-02 eta: 13:37:35 time: 0.6571 data_time: 0.0915 memory: 8322 grad_norm: 4.0128 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5485 loss: 1.5485 2022/07/31 21:22:44 - mmengine - INFO - Epoch(train) [22][660/940] lr: 1.0000e-02 eta: 13:37:21 time: 0.6461 data_time: 0.0356 memory: 8322 grad_norm: 3.9928 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6356 loss: 1.6356 2022/07/31 21:22:57 - mmengine - INFO - Epoch(train) [22][680/940] lr: 1.0000e-02 eta: 13:37:06 time: 0.6501 data_time: 0.0360 memory: 8322 grad_norm: 4.0419 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6068 loss: 1.6068 2022/07/31 21:23:11 - mmengine - INFO - Epoch(train) [22][700/940] lr: 1.0000e-02 eta: 13:36:55 time: 0.6913 data_time: 0.0365 memory: 8322 grad_norm: 4.0374 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6199 loss: 1.6199 2022/07/31 21:23:22 - mmengine - INFO - Epoch(train) [22][720/940] lr: 1.0000e-02 eta: 13:36:34 time: 0.5640 data_time: 0.0328 memory: 8322 grad_norm: 4.0685 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5268 loss: 1.5268 2022/07/31 21:23:37 - mmengine - INFO - Epoch(train) [22][740/940] lr: 1.0000e-02 eta: 13:36:27 time: 0.7596 data_time: 0.0797 memory: 8322 grad_norm: 3.9991 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7259 loss: 1.7259 2022/07/31 21:23:47 - mmengine - INFO - Epoch(train) [22][760/940] lr: 1.0000e-02 eta: 13:36:01 time: 0.4864 data_time: 0.0327 memory: 8322 grad_norm: 3.9616 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.6920 loss: 1.6920 2022/07/31 21:24:01 - mmengine - INFO - Epoch(train) [22][780/940] lr: 1.0000e-02 eta: 13:35:51 time: 0.7113 data_time: 0.0424 memory: 8322 grad_norm: 4.0618 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.5975 loss: 1.5975 2022/07/31 21:24:13 - mmengine - INFO - Epoch(train) [22][800/940] lr: 1.0000e-02 eta: 13:35:31 time: 0.5738 data_time: 0.0894 memory: 8322 grad_norm: 3.9826 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7240 loss: 1.7240 2022/07/31 21:24:28 - mmengine - INFO - Epoch(train) [22][820/940] lr: 1.0000e-02 eta: 13:35:23 time: 0.7444 data_time: 0.0390 memory: 8322 grad_norm: 3.9812 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5695 loss: 1.5695 2022/07/31 21:24:40 - mmengine - INFO - Epoch(train) [22][840/940] lr: 1.0000e-02 eta: 13:35:05 time: 0.6004 data_time: 0.0317 memory: 8322 grad_norm: 4.0750 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.7267 loss: 1.7267 2022/07/31 21:24:54 - mmengine - INFO - Epoch(train) [22][860/940] lr: 1.0000e-02 eta: 13:34:54 time: 0.6984 data_time: 0.0385 memory: 8322 grad_norm: 3.9543 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.5298 loss: 1.5298 2022/07/31 21:25:05 - mmengine - INFO - Epoch(train) [22][880/940] lr: 1.0000e-02 eta: 13:34:36 time: 0.5966 data_time: 0.0471 memory: 8322 grad_norm: 4.0713 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6360 loss: 1.6360 2022/07/31 21:25:20 - mmengine - INFO - Epoch(train) [22][900/940] lr: 1.0000e-02 eta: 13:34:27 time: 0.7200 data_time: 0.0365 memory: 8322 grad_norm: 4.0464 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.5561 loss: 1.5561 2022/07/31 21:25:32 - mmengine - INFO - Epoch(train) [22][920/940] lr: 1.0000e-02 eta: 13:34:10 time: 0.6188 data_time: 0.0648 memory: 8322 grad_norm: 4.0153 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7386 loss: 1.7386 2022/07/31 21:25:43 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:25:43 - mmengine - INFO - Epoch(train) [22][940/940] lr: 1.0000e-02 eta: 13:33:49 time: 0.5569 data_time: 0.0238 memory: 8322 grad_norm: 4.2351 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6680 loss: 1.6680 2022/07/31 21:25:57 - mmengine - INFO - Epoch(val) [22][20/78] eta: 0:00:38 time: 0.6619 data_time: 0.5958 memory: 1463 2022/07/31 21:26:06 - mmengine - INFO - Epoch(val) [22][40/78] eta: 0:00:17 time: 0.4558 data_time: 0.3926 memory: 1463 2022/07/31 21:26:20 - mmengine - INFO - Epoch(val) [22][60/78] eta: 0:00:12 time: 0.6905 data_time: 0.6287 memory: 1463 2022/07/31 21:26:30 - mmengine - INFO - Epoch(val) [22][78/78] acc/top1: 0.6370 acc/top5: 0.8563 acc/mean1: 0.6369 2022/07/31 21:26:47 - mmengine - INFO - Epoch(train) [23][20/940] lr: 1.0000e-02 eta: 13:33:45 time: 0.8041 data_time: 0.4409 memory: 8322 grad_norm: 4.0174 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.7033 loss: 1.7033 2022/07/31 21:26:59 - mmengine - INFO - Epoch(train) [23][40/940] lr: 1.0000e-02 eta: 13:33:28 time: 0.6123 data_time: 0.1847 memory: 8322 grad_norm: 3.9913 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5851 loss: 1.5851 2022/07/31 21:27:13 - mmengine - INFO - Epoch(train) [23][60/940] lr: 1.0000e-02 eta: 13:33:19 time: 0.7318 data_time: 0.0757 memory: 8322 grad_norm: 4.0241 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.6531 loss: 1.6531 2022/07/31 21:27:25 - mmengine - INFO - Epoch(train) [23][80/940] lr: 1.0000e-02 eta: 13:33:01 time: 0.5913 data_time: 0.0339 memory: 8322 grad_norm: 3.9801 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5229 loss: 1.5229 2022/07/31 21:27:39 - mmengine - INFO - Epoch(train) [23][100/940] lr: 1.0000e-02 eta: 13:32:50 time: 0.7001 data_time: 0.1050 memory: 8322 grad_norm: 3.9666 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5697 loss: 1.5697 2022/07/31 21:27:51 - mmengine - INFO - Epoch(train) [23][120/940] lr: 1.0000e-02 eta: 13:32:31 time: 0.5932 data_time: 0.0402 memory: 8322 grad_norm: 4.0191 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5825 loss: 1.5825 2022/07/31 21:28:04 - mmengine - INFO - Epoch(train) [23][140/940] lr: 1.0000e-02 eta: 13:32:18 time: 0.6680 data_time: 0.0357 memory: 8322 grad_norm: 3.9714 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5221 loss: 1.5221 2022/07/31 21:28:18 - mmengine - INFO - Epoch(train) [23][160/940] lr: 1.0000e-02 eta: 13:32:07 time: 0.6999 data_time: 0.0404 memory: 8322 grad_norm: 4.0487 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6304 loss: 1.6304 2022/07/31 21:28:31 - mmengine - INFO - Epoch(train) [23][180/940] lr: 1.0000e-02 eta: 13:31:50 time: 0.6083 data_time: 0.0383 memory: 8322 grad_norm: 4.0279 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5678 loss: 1.5678 2022/07/31 21:28:43 - mmengine - INFO - Epoch(train) [23][200/940] lr: 1.0000e-02 eta: 13:31:33 time: 0.6135 data_time: 0.0492 memory: 8322 grad_norm: 3.9963 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6462 loss: 1.6462 2022/07/31 21:28:58 - mmengine - INFO - Epoch(train) [23][220/940] lr: 1.0000e-02 eta: 13:31:25 time: 0.7438 data_time: 0.0424 memory: 8322 grad_norm: 3.9590 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4080 loss: 1.4080 2022/07/31 21:29:09 - mmengine - INFO - Epoch(train) [23][240/940] lr: 1.0000e-02 eta: 13:31:03 time: 0.5469 data_time: 0.0448 memory: 8322 grad_norm: 4.0658 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5492 loss: 1.5492 2022/07/31 21:29:22 - mmengine - INFO - Epoch(train) [23][260/940] lr: 1.0000e-02 eta: 13:30:50 time: 0.6638 data_time: 0.0312 memory: 8322 grad_norm: 4.0905 top1_acc: 0.5000 top5_acc: 0.9062 loss_cls: 1.5214 loss: 1.5214 2022/07/31 21:29:34 - mmengine - INFO - Epoch(train) [23][280/940] lr: 1.0000e-02 eta: 13:30:32 time: 0.5977 data_time: 0.0345 memory: 8322 grad_norm: 4.0231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5122 loss: 1.5122 2022/07/31 21:29:48 - mmengine - INFO - Epoch(train) [23][300/940] lr: 1.0000e-02 eta: 13:30:23 time: 0.7264 data_time: 0.0334 memory: 8322 grad_norm: 3.9551 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4549 loss: 1.4549 2022/07/31 21:30:01 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:30:01 - mmengine - INFO - Epoch(train) [23][320/940] lr: 1.0000e-02 eta: 13:30:06 time: 0.6101 data_time: 0.0445 memory: 8322 grad_norm: 4.0643 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4917 loss: 1.4917 2022/07/31 21:30:14 - mmengine - INFO - Epoch(train) [23][340/940] lr: 1.0000e-02 eta: 13:29:52 time: 0.6645 data_time: 0.0328 memory: 8322 grad_norm: 4.0145 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4994 loss: 1.4994 2022/07/31 21:30:26 - mmengine - INFO - Epoch(train) [23][360/940] lr: 1.0000e-02 eta: 13:29:35 time: 0.6052 data_time: 0.0361 memory: 8322 grad_norm: 4.0690 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6222 loss: 1.6222 2022/07/31 21:30:41 - mmengine - INFO - Epoch(train) [23][380/940] lr: 1.0000e-02 eta: 13:29:26 time: 0.7314 data_time: 0.0406 memory: 8322 grad_norm: 3.9841 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7194 loss: 1.7194 2022/07/31 21:30:53 - mmengine - INFO - Epoch(train) [23][400/940] lr: 1.0000e-02 eta: 13:29:08 time: 0.5926 data_time: 0.0450 memory: 8322 grad_norm: 3.9763 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5269 loss: 1.5269 2022/07/31 21:31:05 - mmengine - INFO - Epoch(train) [23][420/940] lr: 1.0000e-02 eta: 13:28:51 time: 0.6247 data_time: 0.0553 memory: 8322 grad_norm: 4.0526 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6548 loss: 1.6548 2022/07/31 21:31:17 - mmengine - INFO - Epoch(train) [23][440/940] lr: 1.0000e-02 eta: 13:28:35 time: 0.6199 data_time: 0.0490 memory: 8322 grad_norm: 3.9869 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.5906 loss: 1.5906 2022/07/31 21:31:31 - mmengine - INFO - Epoch(train) [23][460/940] lr: 1.0000e-02 eta: 13:28:22 time: 0.6703 data_time: 0.0348 memory: 8322 grad_norm: 4.0506 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.4878 loss: 1.4878 2022/07/31 21:31:44 - mmengine - INFO - Epoch(train) [23][480/940] lr: 1.0000e-02 eta: 13:28:07 time: 0.6363 data_time: 0.0404 memory: 8322 grad_norm: 3.9467 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4394 loss: 1.4394 2022/07/31 21:31:57 - mmengine - INFO - Epoch(train) [23][500/940] lr: 1.0000e-02 eta: 13:27:52 time: 0.6464 data_time: 0.0734 memory: 8322 grad_norm: 4.0999 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.7705 loss: 1.7705 2022/07/31 21:32:09 - mmengine - INFO - Epoch(train) [23][520/940] lr: 1.0000e-02 eta: 13:27:35 time: 0.6189 data_time: 0.0854 memory: 8322 grad_norm: 4.0269 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5242 loss: 1.5242 2022/07/31 21:32:23 - mmengine - INFO - Epoch(train) [23][540/940] lr: 1.0000e-02 eta: 13:27:25 time: 0.7058 data_time: 0.0408 memory: 8322 grad_norm: 3.9717 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5904 loss: 1.5904 2022/07/31 21:32:35 - mmengine - INFO - Epoch(train) [23][560/940] lr: 1.0000e-02 eta: 13:27:06 time: 0.5897 data_time: 0.0319 memory: 8322 grad_norm: 4.0653 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5874 loss: 1.5874 2022/07/31 21:32:49 - mmengine - INFO - Epoch(train) [23][580/940] lr: 1.0000e-02 eta: 13:26:55 time: 0.6934 data_time: 0.1303 memory: 8322 grad_norm: 4.0230 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6605 loss: 1.6605 2022/07/31 21:33:00 - mmengine - INFO - Epoch(train) [23][600/940] lr: 1.0000e-02 eta: 13:26:36 time: 0.5809 data_time: 0.2962 memory: 8322 grad_norm: 4.0717 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6913 loss: 1.6913 2022/07/31 21:33:12 - mmengine - INFO - Epoch(train) [23][620/940] lr: 1.0000e-02 eta: 13:26:18 time: 0.6061 data_time: 0.1135 memory: 8322 grad_norm: 4.0520 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7792 loss: 1.7792 2022/07/31 21:33:26 - mmengine - INFO - Epoch(train) [23][640/940] lr: 1.0000e-02 eta: 13:26:07 time: 0.6891 data_time: 0.1991 memory: 8322 grad_norm: 4.0639 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5517 loss: 1.5517 2022/07/31 21:33:39 - mmengine - INFO - Epoch(train) [23][660/940] lr: 1.0000e-02 eta: 13:25:52 time: 0.6406 data_time: 0.0857 memory: 8322 grad_norm: 4.0664 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7357 loss: 1.7357 2022/07/31 21:33:52 - mmengine - INFO - Epoch(train) [23][680/940] lr: 1.0000e-02 eta: 13:25:37 time: 0.6496 data_time: 0.0357 memory: 8322 grad_norm: 4.1766 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4996 loss: 1.4996 2022/07/31 21:34:05 - mmengine - INFO - Epoch(train) [23][700/940] lr: 1.0000e-02 eta: 13:25:21 time: 0.6232 data_time: 0.0319 memory: 8322 grad_norm: 4.0612 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5444 loss: 1.5444 2022/07/31 21:34:17 - mmengine - INFO - Epoch(train) [23][720/940] lr: 1.0000e-02 eta: 13:25:06 time: 0.6324 data_time: 0.0308 memory: 8322 grad_norm: 4.0269 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5856 loss: 1.5856 2022/07/31 21:34:31 - mmengine - INFO - Epoch(train) [23][740/940] lr: 1.0000e-02 eta: 13:24:53 time: 0.6767 data_time: 0.0449 memory: 8322 grad_norm: 4.0585 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6017 loss: 1.6017 2022/07/31 21:34:43 - mmengine - INFO - Epoch(train) [23][760/940] lr: 1.0000e-02 eta: 13:24:37 time: 0.6208 data_time: 0.0351 memory: 8322 grad_norm: 4.0942 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8151 loss: 1.8151 2022/07/31 21:34:56 - mmengine - INFO - Epoch(train) [23][780/940] lr: 1.0000e-02 eta: 13:24:21 time: 0.6327 data_time: 0.0364 memory: 8322 grad_norm: 4.0425 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7196 loss: 1.7196 2022/07/31 21:35:09 - mmengine - INFO - Epoch(train) [23][800/940] lr: 1.0000e-02 eta: 13:24:07 time: 0.6538 data_time: 0.0417 memory: 8322 grad_norm: 4.0208 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5702 loss: 1.5702 2022/07/31 21:35:22 - mmengine - INFO - Epoch(train) [23][820/940] lr: 1.0000e-02 eta: 13:23:53 time: 0.6488 data_time: 0.0372 memory: 8322 grad_norm: 4.0244 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5341 loss: 1.5341 2022/07/31 21:35:35 - mmengine - INFO - Epoch(train) [23][840/940] lr: 1.0000e-02 eta: 13:23:39 time: 0.6532 data_time: 0.0348 memory: 8322 grad_norm: 4.1632 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5867 loss: 1.5867 2022/07/31 21:35:47 - mmengine - INFO - Epoch(train) [23][860/940] lr: 1.0000e-02 eta: 13:23:22 time: 0.6181 data_time: 0.0391 memory: 8322 grad_norm: 4.1087 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6083 loss: 1.6083 2022/07/31 21:36:01 - mmengine - INFO - Epoch(train) [23][880/940] lr: 1.0000e-02 eta: 13:23:10 time: 0.6875 data_time: 0.0584 memory: 8322 grad_norm: 4.0012 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.5037 loss: 1.5037 2022/07/31 21:36:14 - mmengine - INFO - Epoch(train) [23][900/940] lr: 1.0000e-02 eta: 13:22:55 time: 0.6416 data_time: 0.0307 memory: 8322 grad_norm: 4.0077 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5237 loss: 1.5237 2022/07/31 21:36:27 - mmengine - INFO - Epoch(train) [23][920/940] lr: 1.0000e-02 eta: 13:22:41 time: 0.6507 data_time: 0.0340 memory: 8322 grad_norm: 4.0767 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4942 loss: 1.4942 2022/07/31 21:36:37 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:36:37 - mmengine - INFO - Epoch(train) [23][940/940] lr: 1.0000e-02 eta: 13:22:17 time: 0.5023 data_time: 0.0273 memory: 8322 grad_norm: 4.2624 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6262 loss: 1.6262 2022/07/31 21:36:50 - mmengine - INFO - Epoch(val) [23][20/78] eta: 0:00:38 time: 0.6589 data_time: 0.5961 memory: 1463 2022/07/31 21:36:59 - mmengine - INFO - Epoch(val) [23][40/78] eta: 0:00:17 time: 0.4497 data_time: 0.3827 memory: 1463 2022/07/31 21:37:12 - mmengine - INFO - Epoch(val) [23][60/78] eta: 0:00:11 time: 0.6320 data_time: 0.5680 memory: 1463 2022/07/31 21:37:23 - mmengine - INFO - Epoch(val) [23][78/78] acc/top1: 0.6452 acc/top5: 0.8556 acc/mean1: 0.6451 2022/07/31 21:37:23 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_20.pth is removed 2022/07/31 21:37:24 - mmengine - INFO - The best checkpoint with 0.6452 acc/top1 at 24 epoch is saved to best_acc/top1_epoch_24.pth. 2022/07/31 21:37:40 - mmengine - INFO - Epoch(train) [24][20/940] lr: 1.0000e-02 eta: 13:22:14 time: 0.8196 data_time: 0.6078 memory: 8322 grad_norm: 3.9653 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7098 loss: 1.7098 2022/07/31 21:37:52 - mmengine - INFO - Epoch(train) [24][40/940] lr: 1.0000e-02 eta: 13:21:54 time: 0.5650 data_time: 0.3030 memory: 8322 grad_norm: 4.0269 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4614 loss: 1.4614 2022/07/31 21:38:05 - mmengine - INFO - Epoch(train) [24][60/940] lr: 1.0000e-02 eta: 13:21:43 time: 0.6989 data_time: 0.4188 memory: 8322 grad_norm: 3.9726 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4634 loss: 1.4634 2022/07/31 21:38:18 - mmengine - INFO - Epoch(train) [24][80/940] lr: 1.0000e-02 eta: 13:21:25 time: 0.5932 data_time: 0.3451 memory: 8322 grad_norm: 3.9938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4787 loss: 1.4787 2022/07/31 21:38:32 - mmengine - INFO - Epoch(train) [24][100/940] lr: 1.0000e-02 eta: 13:21:16 time: 0.7347 data_time: 0.3323 memory: 8322 grad_norm: 4.0315 top1_acc: 0.4062 top5_acc: 0.7812 loss_cls: 1.6585 loss: 1.6585 2022/07/31 21:38:43 - mmengine - INFO - Epoch(train) [24][120/940] lr: 1.0000e-02 eta: 13:20:56 time: 0.5667 data_time: 0.1744 memory: 8322 grad_norm: 3.9525 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4552 loss: 1.4552 2022/07/31 21:38:59 - mmengine - INFO - Epoch(train) [24][140/940] lr: 1.0000e-02 eta: 13:20:49 time: 0.7574 data_time: 0.2861 memory: 8322 grad_norm: 4.0402 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6069 loss: 1.6069 2022/07/31 21:39:09 - mmengine - INFO - Epoch(train) [24][160/940] lr: 1.0000e-02 eta: 13:20:27 time: 0.5364 data_time: 0.1944 memory: 8322 grad_norm: 4.0646 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5374 loss: 1.5374 2022/07/31 21:39:23 - mmengine - INFO - Epoch(train) [24][180/940] lr: 1.0000e-02 eta: 13:20:16 time: 0.6914 data_time: 0.2354 memory: 8322 grad_norm: 4.0432 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5640 loss: 1.5640 2022/07/31 21:39:36 - mmengine - INFO - Epoch(train) [24][200/940] lr: 1.0000e-02 eta: 13:20:01 time: 0.6456 data_time: 0.1892 memory: 8322 grad_norm: 3.9992 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5568 loss: 1.5568 2022/07/31 21:39:49 - mmengine - INFO - Epoch(train) [24][220/940] lr: 1.0000e-02 eta: 13:19:48 time: 0.6658 data_time: 0.0548 memory: 8322 grad_norm: 4.0165 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4445 loss: 1.4445 2022/07/31 21:40:01 - mmengine - INFO - Epoch(train) [24][240/940] lr: 1.0000e-02 eta: 13:19:29 time: 0.5785 data_time: 0.0352 memory: 8322 grad_norm: 4.0057 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5783 loss: 1.5783 2022/07/31 21:40:15 - mmengine - INFO - Epoch(train) [24][260/940] lr: 1.0000e-02 eta: 13:19:17 time: 0.6919 data_time: 0.0358 memory: 8322 grad_norm: 4.0654 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5819 loss: 1.5819 2022/07/31 21:40:26 - mmengine - INFO - Epoch(train) [24][280/940] lr: 1.0000e-02 eta: 13:18:58 time: 0.5715 data_time: 0.0322 memory: 8322 grad_norm: 3.9844 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5262 loss: 1.5262 2022/07/31 21:40:41 - mmengine - INFO - Epoch(train) [24][300/940] lr: 1.0000e-02 eta: 13:18:50 time: 0.7532 data_time: 0.0379 memory: 8322 grad_norm: 4.0649 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.5067 loss: 1.5067 2022/07/31 21:40:52 - mmengine - INFO - Epoch(train) [24][320/940] lr: 1.0000e-02 eta: 13:18:28 time: 0.5214 data_time: 0.0342 memory: 8322 grad_norm: 4.0089 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4824 loss: 1.4824 2022/07/31 21:41:07 - mmengine - INFO - Epoch(train) [24][340/940] lr: 1.0000e-02 eta: 13:18:20 time: 0.7478 data_time: 0.0427 memory: 8322 grad_norm: 4.1034 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5738 loss: 1.5738 2022/07/31 21:41:17 - mmengine - INFO - Epoch(train) [24][360/940] lr: 1.0000e-02 eta: 13:17:55 time: 0.4957 data_time: 0.0598 memory: 8322 grad_norm: 4.0503 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6115 loss: 1.6115 2022/07/31 21:41:31 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:41:31 - mmengine - INFO - Epoch(train) [24][380/940] lr: 1.0000e-02 eta: 13:17:46 time: 0.7269 data_time: 0.2194 memory: 8322 grad_norm: 4.0635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5523 loss: 1.5523 2022/07/31 21:41:42 - mmengine - INFO - Epoch(train) [24][400/940] lr: 1.0000e-02 eta: 13:17:24 time: 0.5287 data_time: 0.2557 memory: 8322 grad_norm: 4.0432 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5309 loss: 1.5309 2022/07/31 21:41:56 - mmengine - INFO - Epoch(train) [24][420/940] lr: 1.0000e-02 eta: 13:17:15 time: 0.7270 data_time: 0.2672 memory: 8322 grad_norm: 3.9907 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5668 loss: 1.5668 2022/07/31 21:42:08 - mmengine - INFO - Epoch(train) [24][440/940] lr: 1.0000e-02 eta: 13:16:57 time: 0.6010 data_time: 0.1088 memory: 8322 grad_norm: 4.0637 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6172 loss: 1.6172 2022/07/31 21:42:22 - mmengine - INFO - Epoch(train) [24][460/940] lr: 1.0000e-02 eta: 13:16:47 time: 0.7101 data_time: 0.1216 memory: 8322 grad_norm: 4.0406 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5508 loss: 1.5508 2022/07/31 21:42:35 - mmengine - INFO - Epoch(train) [24][480/940] lr: 1.0000e-02 eta: 13:16:30 time: 0.6050 data_time: 0.0397 memory: 8322 grad_norm: 4.0359 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5809 loss: 1.5809 2022/07/31 21:42:48 - mmengine - INFO - Epoch(train) [24][500/940] lr: 1.0000e-02 eta: 13:16:17 time: 0.6776 data_time: 0.1068 memory: 8322 grad_norm: 4.0538 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5007 loss: 1.5007 2022/07/31 21:43:00 - mmengine - INFO - Epoch(train) [24][520/940] lr: 1.0000e-02 eta: 13:16:01 time: 0.6142 data_time: 0.0624 memory: 8322 grad_norm: 4.0417 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5515 loss: 1.5515 2022/07/31 21:43:14 - mmengine - INFO - Epoch(train) [24][540/940] lr: 1.0000e-02 eta: 13:15:50 time: 0.6972 data_time: 0.2377 memory: 8322 grad_norm: 4.0071 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5433 loss: 1.5433 2022/07/31 21:43:26 - mmengine - INFO - Epoch(train) [24][560/940] lr: 1.0000e-02 eta: 13:15:30 time: 0.5597 data_time: 0.0308 memory: 8322 grad_norm: 4.0768 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5779 loss: 1.5779 2022/07/31 21:43:40 - mmengine - INFO - Epoch(train) [24][580/940] lr: 1.0000e-02 eta: 13:15:20 time: 0.7164 data_time: 0.0380 memory: 8322 grad_norm: 4.0381 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.7232 loss: 1.7232 2022/07/31 21:43:52 - mmengine - INFO - Epoch(train) [24][600/940] lr: 1.0000e-02 eta: 13:15:04 time: 0.6284 data_time: 0.0418 memory: 8322 grad_norm: 4.0356 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.7487 loss: 1.7487 2022/07/31 21:44:07 - mmengine - INFO - Epoch(train) [24][620/940] lr: 1.0000e-02 eta: 13:14:54 time: 0.7093 data_time: 0.0337 memory: 8322 grad_norm: 4.0686 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6395 loss: 1.6395 2022/07/31 21:44:18 - mmengine - INFO - Epoch(train) [24][640/940] lr: 1.0000e-02 eta: 13:14:35 time: 0.5891 data_time: 0.0341 memory: 8322 grad_norm: 4.1123 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4585 loss: 1.4585 2022/07/31 21:44:33 - mmengine - INFO - Epoch(train) [24][660/940] lr: 1.0000e-02 eta: 13:14:26 time: 0.7211 data_time: 0.0332 memory: 8322 grad_norm: 4.0520 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6008 loss: 1.6008 2022/07/31 21:44:44 - mmengine - INFO - Epoch(train) [24][680/940] lr: 1.0000e-02 eta: 13:14:05 time: 0.5494 data_time: 0.0367 memory: 8322 grad_norm: 4.0139 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5534 loss: 1.5534 2022/07/31 21:44:59 - mmengine - INFO - Epoch(train) [24][700/940] lr: 1.0000e-02 eta: 13:13:56 time: 0.7363 data_time: 0.0540 memory: 8322 grad_norm: 4.0878 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5618 loss: 1.5618 2022/07/31 21:45:11 - mmengine - INFO - Epoch(train) [24][720/940] lr: 1.0000e-02 eta: 13:13:40 time: 0.6084 data_time: 0.0400 memory: 8322 grad_norm: 4.0852 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5980 loss: 1.5980 2022/07/31 21:45:25 - mmengine - INFO - Epoch(train) [24][740/940] lr: 1.0000e-02 eta: 13:13:28 time: 0.6956 data_time: 0.0383 memory: 8322 grad_norm: 4.0978 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5586 loss: 1.5586 2022/07/31 21:45:35 - mmengine - INFO - Epoch(train) [24][760/940] lr: 1.0000e-02 eta: 13:13:07 time: 0.5369 data_time: 0.0340 memory: 8322 grad_norm: 4.0500 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.5830 loss: 1.5830 2022/07/31 21:45:50 - mmengine - INFO - Epoch(train) [24][780/940] lr: 1.0000e-02 eta: 13:12:58 time: 0.7366 data_time: 0.0367 memory: 8322 grad_norm: 4.1327 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.6178 loss: 1.6178 2022/07/31 21:46:02 - mmengine - INFO - Epoch(train) [24][800/940] lr: 1.0000e-02 eta: 13:12:40 time: 0.5875 data_time: 0.0465 memory: 8322 grad_norm: 4.0740 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.6097 loss: 1.6097 2022/07/31 21:46:15 - mmengine - INFO - Epoch(train) [24][820/940] lr: 1.0000e-02 eta: 13:12:26 time: 0.6606 data_time: 0.1135 memory: 8322 grad_norm: 4.1906 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6190 loss: 1.6190 2022/07/31 21:46:28 - mmengine - INFO - Epoch(train) [24][840/940] lr: 1.0000e-02 eta: 13:12:11 time: 0.6284 data_time: 0.2244 memory: 8322 grad_norm: 4.1222 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4523 loss: 1.4523 2022/07/31 21:46:40 - mmengine - INFO - Epoch(train) [24][860/940] lr: 1.0000e-02 eta: 13:11:55 time: 0.6326 data_time: 0.1314 memory: 8322 grad_norm: 4.1460 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5807 loss: 1.5807 2022/07/31 21:46:53 - mmengine - INFO - Epoch(train) [24][880/940] lr: 1.0000e-02 eta: 13:11:40 time: 0.6319 data_time: 0.1290 memory: 8322 grad_norm: 4.0739 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5530 loss: 1.5530 2022/07/31 21:47:06 - mmengine - INFO - Epoch(train) [24][900/940] lr: 1.0000e-02 eta: 13:11:25 time: 0.6384 data_time: 0.0327 memory: 8322 grad_norm: 4.0435 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5851 loss: 1.5851 2022/07/31 21:47:18 - mmengine - INFO - Epoch(train) [24][920/940] lr: 1.0000e-02 eta: 13:11:10 time: 0.6289 data_time: 0.0307 memory: 8322 grad_norm: 3.9720 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5811 loss: 1.5811 2022/07/31 21:47:30 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:47:30 - mmengine - INFO - Epoch(train) [24][940/940] lr: 1.0000e-02 eta: 13:10:51 time: 0.5860 data_time: 0.0343 memory: 8322 grad_norm: 4.3512 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6339 loss: 1.6339 2022/07/31 21:47:30 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/07/31 21:47:46 - mmengine - INFO - Epoch(val) [24][20/78] eta: 0:00:39 time: 0.6751 data_time: 0.6128 memory: 1463 2022/07/31 21:47:55 - mmengine - INFO - Epoch(val) [24][40/78] eta: 0:00:16 time: 0.4430 data_time: 0.3821 memory: 1463 2022/07/31 21:48:08 - mmengine - INFO - Epoch(val) [24][60/78] eta: 0:00:11 time: 0.6412 data_time: 0.5785 memory: 1463 2022/07/31 21:48:17 - mmengine - INFO - Epoch(val) [24][78/78] acc/top1: 0.6431 acc/top5: 0.8571 acc/mean1: 0.6430 2022/07/31 21:48:34 - mmengine - INFO - Epoch(train) [25][20/940] lr: 1.0000e-02 eta: 13:10:48 time: 0.8155 data_time: 0.4357 memory: 8322 grad_norm: 3.9568 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4304 loss: 1.4304 2022/07/31 21:48:45 - mmengine - INFO - Epoch(train) [25][40/940] lr: 1.0000e-02 eta: 13:10:29 time: 0.5857 data_time: 0.2066 memory: 8322 grad_norm: 4.0178 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5355 loss: 1.5355 2022/07/31 21:48:59 - mmengine - INFO - Epoch(train) [25][60/940] lr: 1.0000e-02 eta: 13:10:18 time: 0.6899 data_time: 0.1149 memory: 8322 grad_norm: 3.9909 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5139 loss: 1.5139 2022/07/31 21:49:11 - mmengine - INFO - Epoch(train) [25][80/940] lr: 1.0000e-02 eta: 13:09:59 time: 0.5715 data_time: 0.1078 memory: 8322 grad_norm: 4.0921 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5988 loss: 1.5988 2022/07/31 21:49:24 - mmengine - INFO - Epoch(train) [25][100/940] lr: 1.0000e-02 eta: 13:09:46 time: 0.6817 data_time: 0.1848 memory: 8322 grad_norm: 4.1287 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5725 loss: 1.5725 2022/07/31 21:49:37 - mmengine - INFO - Epoch(train) [25][120/940] lr: 1.0000e-02 eta: 13:09:32 time: 0.6412 data_time: 0.2315 memory: 8322 grad_norm: 3.9301 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.5416 loss: 1.5416 2022/07/31 21:49:51 - mmengine - INFO - Epoch(train) [25][140/940] lr: 1.0000e-02 eta: 13:09:19 time: 0.6683 data_time: 0.2513 memory: 8322 grad_norm: 3.9845 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6693 loss: 1.6693 2022/07/31 21:50:04 - mmengine - INFO - Epoch(train) [25][160/940] lr: 1.0000e-02 eta: 13:09:07 time: 0.6828 data_time: 0.1241 memory: 8322 grad_norm: 3.9746 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.5699 loss: 1.5699 2022/07/31 21:50:17 - mmengine - INFO - Epoch(train) [25][180/940] lr: 1.0000e-02 eta: 13:08:51 time: 0.6337 data_time: 0.0930 memory: 8322 grad_norm: 4.1071 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5546 loss: 1.5546 2022/07/31 21:50:31 - mmengine - INFO - Epoch(train) [25][200/940] lr: 1.0000e-02 eta: 13:08:41 time: 0.7050 data_time: 0.0331 memory: 8322 grad_norm: 4.0624 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5914 loss: 1.5914 2022/07/31 21:50:42 - mmengine - INFO - Epoch(train) [25][220/940] lr: 1.0000e-02 eta: 13:08:21 time: 0.5579 data_time: 0.0900 memory: 8322 grad_norm: 4.1001 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6495 loss: 1.6495 2022/07/31 21:50:57 - mmengine - INFO - Epoch(train) [25][240/940] lr: 1.0000e-02 eta: 13:08:13 time: 0.7514 data_time: 0.0825 memory: 8322 grad_norm: 4.0629 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6022 loss: 1.6022 2022/07/31 21:51:08 - mmengine - INFO - Epoch(train) [25][260/940] lr: 1.0000e-02 eta: 13:07:51 time: 0.5309 data_time: 0.0308 memory: 8322 grad_norm: 4.0161 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6528 loss: 1.6528 2022/07/31 21:51:22 - mmengine - INFO - Epoch(train) [25][280/940] lr: 1.0000e-02 eta: 13:07:42 time: 0.7272 data_time: 0.0313 memory: 8322 grad_norm: 4.1046 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6506 loss: 1.6506 2022/07/31 21:51:34 - mmengine - INFO - Epoch(train) [25][300/940] lr: 1.0000e-02 eta: 13:07:22 time: 0.5647 data_time: 0.0584 memory: 8322 grad_norm: 4.1040 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4730 loss: 1.4730 2022/07/31 21:51:47 - mmengine - INFO - Epoch(train) [25][320/940] lr: 1.0000e-02 eta: 13:07:10 time: 0.6744 data_time: 0.1428 memory: 8322 grad_norm: 4.0298 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5240 loss: 1.5240 2022/07/31 21:51:59 - mmengine - INFO - Epoch(train) [25][340/940] lr: 1.0000e-02 eta: 13:06:53 time: 0.6058 data_time: 0.2173 memory: 8322 grad_norm: 4.1120 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4023 loss: 1.4023 2022/07/31 21:52:12 - mmengine - INFO - Epoch(train) [25][360/940] lr: 1.0000e-02 eta: 13:06:39 time: 0.6542 data_time: 0.0802 memory: 8322 grad_norm: 4.0943 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6560 loss: 1.6560 2022/07/31 21:52:25 - mmengine - INFO - Epoch(train) [25][380/940] lr: 1.0000e-02 eta: 13:06:25 time: 0.6527 data_time: 0.0646 memory: 8322 grad_norm: 4.0134 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4912 loss: 1.4912 2022/07/31 21:52:38 - mmengine - INFO - Epoch(train) [25][400/940] lr: 1.0000e-02 eta: 13:06:09 time: 0.6179 data_time: 0.0496 memory: 8322 grad_norm: 4.0563 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6825 loss: 1.6825 2022/07/31 21:52:51 - mmengine - INFO - Epoch(train) [25][420/940] lr: 1.0000e-02 eta: 13:05:56 time: 0.6767 data_time: 0.0324 memory: 8322 grad_norm: 4.1088 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4920 loss: 1.4920 2022/07/31 21:53:03 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:53:03 - mmengine - INFO - Epoch(train) [25][440/940] lr: 1.0000e-02 eta: 13:05:39 time: 0.5980 data_time: 0.0383 memory: 8322 grad_norm: 4.0819 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5557 loss: 1.5557 2022/07/31 21:53:17 - mmengine - INFO - Epoch(train) [25][460/940] lr: 1.0000e-02 eta: 13:05:26 time: 0.6699 data_time: 0.0314 memory: 8322 grad_norm: 4.0619 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6299 loss: 1.6299 2022/07/31 21:53:29 - mmengine - INFO - Epoch(train) [25][480/940] lr: 1.0000e-02 eta: 13:05:11 time: 0.6315 data_time: 0.0347 memory: 8322 grad_norm: 3.9939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6576 loss: 1.6576 2022/07/31 21:53:43 - mmengine - INFO - Epoch(train) [25][500/940] lr: 1.0000e-02 eta: 13:05:00 time: 0.7108 data_time: 0.0363 memory: 8322 grad_norm: 4.0718 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6513 loss: 1.6513 2022/07/31 21:53:55 - mmengine - INFO - Epoch(train) [25][520/940] lr: 1.0000e-02 eta: 13:04:42 time: 0.5872 data_time: 0.0683 memory: 8322 grad_norm: 4.0383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4592 loss: 1.4592 2022/07/31 21:54:09 - mmengine - INFO - Epoch(train) [25][540/940] lr: 1.0000e-02 eta: 13:04:30 time: 0.6794 data_time: 0.0366 memory: 8322 grad_norm: 3.9905 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5752 loss: 1.5752 2022/07/31 21:54:20 - mmengine - INFO - Epoch(train) [25][560/940] lr: 1.0000e-02 eta: 13:04:11 time: 0.5713 data_time: 0.0511 memory: 8322 grad_norm: 4.0999 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5409 loss: 1.5409 2022/07/31 21:54:34 - mmengine - INFO - Epoch(train) [25][580/940] lr: 1.0000e-02 eta: 13:03:58 time: 0.6731 data_time: 0.0346 memory: 8322 grad_norm: 4.0814 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5552 loss: 1.5552 2022/07/31 21:54:46 - mmengine - INFO - Epoch(train) [25][600/940] lr: 1.0000e-02 eta: 13:03:42 time: 0.6111 data_time: 0.0463 memory: 8322 grad_norm: 4.0988 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.6262 loss: 1.6262 2022/07/31 21:55:00 - mmengine - INFO - Epoch(train) [25][620/940] lr: 1.0000e-02 eta: 13:03:30 time: 0.6888 data_time: 0.0345 memory: 8322 grad_norm: 4.0831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4861 loss: 1.4861 2022/07/31 21:55:12 - mmengine - INFO - Epoch(train) [25][640/940] lr: 1.0000e-02 eta: 13:03:13 time: 0.6055 data_time: 0.0386 memory: 8322 grad_norm: 4.1256 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6917 loss: 1.6917 2022/07/31 21:55:26 - mmengine - INFO - Epoch(train) [25][660/940] lr: 1.0000e-02 eta: 13:03:03 time: 0.7038 data_time: 0.0332 memory: 8322 grad_norm: 4.0922 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5086 loss: 1.5086 2022/07/31 21:55:38 - mmengine - INFO - Epoch(train) [25][680/940] lr: 1.0000e-02 eta: 13:02:45 time: 0.5972 data_time: 0.0385 memory: 8322 grad_norm: 4.0517 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5050 loss: 1.5050 2022/07/31 21:55:51 - mmengine - INFO - Epoch(train) [25][700/940] lr: 1.0000e-02 eta: 13:02:33 time: 0.6747 data_time: 0.0334 memory: 8322 grad_norm: 4.1313 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5711 loss: 1.5711 2022/07/31 21:56:03 - mmengine - INFO - Epoch(train) [25][720/940] lr: 1.0000e-02 eta: 13:02:15 time: 0.6003 data_time: 0.0415 memory: 8322 grad_norm: 4.0546 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5570 loss: 1.5570 2022/07/31 21:56:17 - mmengine - INFO - Epoch(train) [25][740/940] lr: 1.0000e-02 eta: 13:02:05 time: 0.7035 data_time: 0.0348 memory: 8322 grad_norm: 4.1135 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5929 loss: 1.5929 2022/07/31 21:56:29 - mmengine - INFO - Epoch(train) [25][760/940] lr: 1.0000e-02 eta: 13:01:46 time: 0.5821 data_time: 0.0490 memory: 8322 grad_norm: 4.1189 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4472 loss: 1.4472 2022/07/31 21:56:42 - mmengine - INFO - Epoch(train) [25][780/940] lr: 1.0000e-02 eta: 13:01:33 time: 0.6678 data_time: 0.1085 memory: 8322 grad_norm: 4.1041 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6610 loss: 1.6610 2022/07/31 21:56:55 - mmengine - INFO - Epoch(train) [25][800/940] lr: 1.0000e-02 eta: 13:01:19 time: 0.6532 data_time: 0.1325 memory: 8322 grad_norm: 4.0499 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6766 loss: 1.6766 2022/07/31 21:57:08 - mmengine - INFO - Epoch(train) [25][820/940] lr: 1.0000e-02 eta: 13:01:04 time: 0.6339 data_time: 0.1858 memory: 8322 grad_norm: 4.0912 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6794 loss: 1.6794 2022/07/31 21:57:21 - mmengine - INFO - Epoch(train) [25][840/940] lr: 1.0000e-02 eta: 13:00:49 time: 0.6230 data_time: 0.2020 memory: 8322 grad_norm: 4.0735 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6454 loss: 1.6454 2022/07/31 21:57:33 - mmengine - INFO - Epoch(train) [25][860/940] lr: 1.0000e-02 eta: 13:00:32 time: 0.6090 data_time: 0.1808 memory: 8322 grad_norm: 4.0972 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6789 loss: 1.6789 2022/07/31 21:57:45 - mmengine - INFO - Epoch(train) [25][880/940] lr: 1.0000e-02 eta: 13:00:16 time: 0.6234 data_time: 0.1356 memory: 8322 grad_norm: 4.1653 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.6256 loss: 1.6256 2022/07/31 21:57:58 - mmengine - INFO - Epoch(train) [25][900/940] lr: 1.0000e-02 eta: 13:00:02 time: 0.6529 data_time: 0.0307 memory: 8322 grad_norm: 4.1316 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7430 loss: 1.7430 2022/07/31 21:58:15 - mmengine - INFO - Epoch(train) [25][920/940] lr: 1.0000e-02 eta: 13:00:00 time: 0.8407 data_time: 0.0323 memory: 8322 grad_norm: 4.0895 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6208 loss: 1.6208 2022/07/31 21:58:25 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 21:58:25 - mmengine - INFO - Epoch(train) [25][940/940] lr: 1.0000e-02 eta: 12:59:36 time: 0.4808 data_time: 0.0206 memory: 8322 grad_norm: 4.2367 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.6780 loss: 1.6780 2022/07/31 21:58:38 - mmengine - INFO - Epoch(val) [25][20/78] eta: 0:00:39 time: 0.6836 data_time: 0.6175 memory: 1463 2022/07/31 21:58:47 - mmengine - INFO - Epoch(val) [25][40/78] eta: 0:00:15 time: 0.4198 data_time: 0.3545 memory: 1463 2022/07/31 21:59:00 - mmengine - INFO - Epoch(val) [25][60/78] eta: 0:00:11 time: 0.6507 data_time: 0.5860 memory: 1463 2022/07/31 21:59:10 - mmengine - INFO - Epoch(val) [25][78/78] acc/top1: 0.6402 acc/top5: 0.8540 acc/mean1: 0.6401 2022/07/31 21:59:27 - mmengine - INFO - Epoch(train) [26][20/940] lr: 1.0000e-02 eta: 12:59:32 time: 0.8216 data_time: 0.6009 memory: 8322 grad_norm: 4.0207 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4401 loss: 1.4401 2022/07/31 21:59:38 - mmengine - INFO - Epoch(train) [26][40/940] lr: 1.0000e-02 eta: 12:59:14 time: 0.5793 data_time: 0.3655 memory: 8322 grad_norm: 4.0556 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6146 loss: 1.6146 2022/07/31 21:59:53 - mmengine - INFO - Epoch(train) [26][60/940] lr: 1.0000e-02 eta: 12:59:05 time: 0.7359 data_time: 0.5111 memory: 8322 grad_norm: 4.0627 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4601 loss: 1.4601 2022/07/31 22:00:04 - mmengine - INFO - Epoch(train) [26][80/940] lr: 1.0000e-02 eta: 12:58:43 time: 0.5259 data_time: 0.3165 memory: 8322 grad_norm: 4.0301 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4497 loss: 1.4497 2022/07/31 22:00:18 - mmengine - INFO - Epoch(train) [26][100/940] lr: 1.0000e-02 eta: 12:58:33 time: 0.7153 data_time: 0.3598 memory: 8322 grad_norm: 3.9896 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3922 loss: 1.3922 2022/07/31 22:00:30 - mmengine - INFO - Epoch(train) [26][120/940] lr: 1.0000e-02 eta: 12:58:16 time: 0.6104 data_time: 0.2465 memory: 8322 grad_norm: 4.1017 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6281 loss: 1.6281 2022/07/31 22:00:45 - mmengine - INFO - Epoch(train) [26][140/940] lr: 1.0000e-02 eta: 12:58:07 time: 0.7248 data_time: 0.2447 memory: 8322 grad_norm: 4.0286 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6088 loss: 1.6088 2022/07/31 22:00:55 - mmengine - INFO - Epoch(train) [26][160/940] lr: 1.0000e-02 eta: 12:57:44 time: 0.5078 data_time: 0.1376 memory: 8322 grad_norm: 4.0207 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4558 loss: 1.4558 2022/07/31 22:01:09 - mmengine - INFO - Epoch(train) [26][180/940] lr: 1.0000e-02 eta: 12:57:35 time: 0.7320 data_time: 0.2778 memory: 8322 grad_norm: 4.0758 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4602 loss: 1.4602 2022/07/31 22:01:21 - mmengine - INFO - Epoch(train) [26][200/940] lr: 1.0000e-02 eta: 12:57:17 time: 0.5742 data_time: 0.2341 memory: 8322 grad_norm: 4.1371 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5007 loss: 1.5007 2022/07/31 22:01:36 - mmengine - INFO - Epoch(train) [26][220/940] lr: 1.0000e-02 eta: 12:57:08 time: 0.7382 data_time: 0.1611 memory: 8322 grad_norm: 4.0195 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5949 loss: 1.5949 2022/07/31 22:01:47 - mmengine - INFO - Epoch(train) [26][240/940] lr: 1.0000e-02 eta: 12:56:48 time: 0.5507 data_time: 0.0339 memory: 8322 grad_norm: 4.0238 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4817 loss: 1.4817 2022/07/31 22:02:01 - mmengine - INFO - Epoch(train) [26][260/940] lr: 1.0000e-02 eta: 12:56:38 time: 0.7251 data_time: 0.1091 memory: 8322 grad_norm: 4.0156 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4104 loss: 1.4104 2022/07/31 22:02:13 - mmengine - INFO - Epoch(train) [26][280/940] lr: 1.0000e-02 eta: 12:56:19 time: 0.5635 data_time: 0.0539 memory: 8322 grad_norm: 4.0946 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6051 loss: 1.6051 2022/07/31 22:02:27 - mmengine - INFO - Epoch(train) [26][300/940] lr: 1.0000e-02 eta: 12:56:08 time: 0.7048 data_time: 0.0626 memory: 8322 grad_norm: 4.0522 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5184 loss: 1.5184 2022/07/31 22:02:39 - mmengine - INFO - Epoch(train) [26][320/940] lr: 1.0000e-02 eta: 12:55:52 time: 0.6164 data_time: 0.0329 memory: 8322 grad_norm: 4.1270 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.6594 loss: 1.6594 2022/07/31 22:02:53 - mmengine - INFO - Epoch(train) [26][340/940] lr: 1.0000e-02 eta: 12:55:41 time: 0.7051 data_time: 0.0487 memory: 8322 grad_norm: 4.0537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5311 loss: 1.5311 2022/07/31 22:03:04 - mmengine - INFO - Epoch(train) [26][360/940] lr: 1.0000e-02 eta: 12:55:21 time: 0.5437 data_time: 0.0364 memory: 8322 grad_norm: 4.0768 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6057 loss: 1.6057 2022/07/31 22:03:19 - mmengine - INFO - Epoch(train) [26][380/940] lr: 1.0000e-02 eta: 12:55:13 time: 0.7446 data_time: 0.0330 memory: 8322 grad_norm: 4.0728 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 1.6416 loss: 1.6416 2022/07/31 22:03:30 - mmengine - INFO - Epoch(train) [26][400/940] lr: 1.0000e-02 eta: 12:54:53 time: 0.5494 data_time: 0.0409 memory: 8322 grad_norm: 4.1481 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6090 loss: 1.6090 2022/07/31 22:03:44 - mmengine - INFO - Epoch(train) [26][420/940] lr: 1.0000e-02 eta: 12:54:42 time: 0.7010 data_time: 0.0396 memory: 8322 grad_norm: 4.0738 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5556 loss: 1.5556 2022/07/31 22:03:56 - mmengine - INFO - Epoch(train) [26][440/940] lr: 1.0000e-02 eta: 12:54:25 time: 0.6049 data_time: 0.0355 memory: 8322 grad_norm: 4.1145 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6902 loss: 1.6902 2022/07/31 22:04:12 - mmengine - INFO - Epoch(train) [26][460/940] lr: 1.0000e-02 eta: 12:54:19 time: 0.7822 data_time: 0.0340 memory: 8322 grad_norm: 3.9641 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5228 loss: 1.5228 2022/07/31 22:04:22 - mmengine - INFO - Epoch(train) [26][480/940] lr: 1.0000e-02 eta: 12:53:58 time: 0.5334 data_time: 0.0375 memory: 8322 grad_norm: 4.1591 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.7730 loss: 1.7730 2022/07/31 22:04:37 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:04:37 - mmengine - INFO - Epoch(train) [26][500/940] lr: 1.0000e-02 eta: 12:53:48 time: 0.7196 data_time: 0.0367 memory: 8322 grad_norm: 4.0412 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4564 loss: 1.4564 2022/07/31 22:04:47 - mmengine - INFO - Epoch(train) [26][520/940] lr: 1.0000e-02 eta: 12:53:25 time: 0.5090 data_time: 0.0371 memory: 8322 grad_norm: 4.1207 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4795 loss: 1.4795 2022/07/31 22:05:00 - mmengine - INFO - Epoch(train) [26][540/940] lr: 1.0000e-02 eta: 12:53:13 time: 0.6766 data_time: 0.0394 memory: 8322 grad_norm: 4.1063 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5185 loss: 1.5185 2022/07/31 22:05:12 - mmengine - INFO - Epoch(train) [26][560/940] lr: 1.0000e-02 eta: 12:52:56 time: 0.5965 data_time: 0.0343 memory: 8322 grad_norm: 4.1052 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 1.7815 loss: 1.7815 2022/07/31 22:05:27 - mmengine - INFO - Epoch(train) [26][580/940] lr: 1.0000e-02 eta: 12:52:46 time: 0.7250 data_time: 0.0394 memory: 8322 grad_norm: 4.0859 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.6221 loss: 1.6221 2022/07/31 22:05:39 - mmengine - INFO - Epoch(train) [26][600/940] lr: 1.0000e-02 eta: 12:52:30 time: 0.6198 data_time: 0.0382 memory: 8322 grad_norm: 4.1191 top1_acc: 0.2812 top5_acc: 0.6875 loss_cls: 1.6164 loss: 1.6164 2022/07/31 22:05:53 - mmengine - INFO - Epoch(train) [26][620/940] lr: 1.0000e-02 eta: 12:52:18 time: 0.6755 data_time: 0.0407 memory: 8322 grad_norm: 4.0660 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5979 loss: 1.5979 2022/07/31 22:06:06 - mmengine - INFO - Epoch(train) [26][640/940] lr: 1.0000e-02 eta: 12:52:04 time: 0.6592 data_time: 0.0334 memory: 8322 grad_norm: 4.1480 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6466 loss: 1.6466 2022/07/31 22:06:19 - mmengine - INFO - Epoch(train) [26][660/940] lr: 1.0000e-02 eta: 12:51:51 time: 0.6560 data_time: 0.0372 memory: 8322 grad_norm: 4.1349 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5067 loss: 1.5067 2022/07/31 22:06:31 - mmengine - INFO - Epoch(train) [26][680/940] lr: 1.0000e-02 eta: 12:51:33 time: 0.5846 data_time: 0.0371 memory: 8322 grad_norm: 4.0188 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5145 loss: 1.5145 2022/07/31 22:06:44 - mmengine - INFO - Epoch(train) [26][700/940] lr: 1.0000e-02 eta: 12:51:19 time: 0.6588 data_time: 0.0370 memory: 8322 grad_norm: 4.0533 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5179 loss: 1.5179 2022/07/31 22:06:56 - mmengine - INFO - Epoch(train) [26][720/940] lr: 1.0000e-02 eta: 12:51:03 time: 0.6056 data_time: 0.0509 memory: 8322 grad_norm: 3.9910 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5782 loss: 1.5782 2022/07/31 22:07:11 - mmengine - INFO - Epoch(train) [26][740/940] lr: 1.0000e-02 eta: 12:50:54 time: 0.7344 data_time: 0.0299 memory: 8322 grad_norm: 4.0416 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5081 loss: 1.5081 2022/07/31 22:07:23 - mmengine - INFO - Epoch(train) [26][760/940] lr: 1.0000e-02 eta: 12:50:38 time: 0.6175 data_time: 0.0393 memory: 8322 grad_norm: 4.0866 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5741 loss: 1.5741 2022/07/31 22:07:36 - mmengine - INFO - Epoch(train) [26][780/940] lr: 1.0000e-02 eta: 12:50:25 time: 0.6684 data_time: 0.0340 memory: 8322 grad_norm: 4.1400 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6205 loss: 1.6205 2022/07/31 22:07:47 - mmengine - INFO - Epoch(train) [26][800/940] lr: 1.0000e-02 eta: 12:50:05 time: 0.5419 data_time: 0.0427 memory: 8322 grad_norm: 4.0966 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5892 loss: 1.5892 2022/07/31 22:08:02 - mmengine - INFO - Epoch(train) [26][820/940] lr: 1.0000e-02 eta: 12:49:55 time: 0.7236 data_time: 0.0332 memory: 8322 grad_norm: 4.0530 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.7166 loss: 1.7166 2022/07/31 22:08:14 - mmengine - INFO - Epoch(train) [26][840/940] lr: 1.0000e-02 eta: 12:49:38 time: 0.5924 data_time: 0.0475 memory: 8322 grad_norm: 4.1733 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6555 loss: 1.6555 2022/07/31 22:08:28 - mmengine - INFO - Epoch(train) [26][860/940] lr: 1.0000e-02 eta: 12:49:28 time: 0.7326 data_time: 0.0321 memory: 8322 grad_norm: 4.1333 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7391 loss: 1.7391 2022/07/31 22:08:40 - mmengine - INFO - Epoch(train) [26][880/940] lr: 1.0000e-02 eta: 12:49:10 time: 0.5756 data_time: 0.0362 memory: 8322 grad_norm: 4.1463 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.7056 loss: 1.7056 2022/07/31 22:08:52 - mmengine - INFO - Epoch(train) [26][900/940] lr: 1.0000e-02 eta: 12:48:55 time: 0.6293 data_time: 0.1567 memory: 8322 grad_norm: 4.1995 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5088 loss: 1.5088 2022/07/31 22:09:05 - mmengine - INFO - Epoch(train) [26][920/940] lr: 1.0000e-02 eta: 12:48:39 time: 0.6138 data_time: 0.1981 memory: 8322 grad_norm: 4.0552 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5323 loss: 1.5323 2022/07/31 22:09:17 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:09:17 - mmengine - INFO - Epoch(train) [26][940/940] lr: 1.0000e-02 eta: 12:48:22 time: 0.6034 data_time: 0.1937 memory: 8322 grad_norm: 4.2785 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4960 loss: 1.4960 2022/07/31 22:09:30 - mmengine - INFO - Epoch(val) [26][20/78] eta: 0:00:39 time: 0.6739 data_time: 0.6062 memory: 1463 2022/07/31 22:09:39 - mmengine - INFO - Epoch(val) [26][40/78] eta: 0:00:16 time: 0.4275 data_time: 0.3640 memory: 1463 2022/07/31 22:09:52 - mmengine - INFO - Epoch(val) [26][60/78] eta: 0:00:11 time: 0.6418 data_time: 0.5776 memory: 1463 2022/07/31 22:10:02 - mmengine - INFO - Epoch(val) [26][78/78] acc/top1: 0.6490 acc/top5: 0.8580 acc/mean1: 0.6490 2022/07/31 22:10:02 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_24.pth is removed 2022/07/31 22:10:04 - mmengine - INFO - The best checkpoint with 0.6490 acc/top1 at 27 epoch is saved to best_acc/top1_epoch_27.pth. 2022/07/31 22:10:24 - mmengine - INFO - Epoch(train) [27][20/940] lr: 1.0000e-02 eta: 12:48:30 time: 1.0261 data_time: 0.2216 memory: 8322 grad_norm: 4.0451 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/07/31 22:10:35 - mmengine - INFO - Epoch(train) [27][40/940] lr: 1.0000e-02 eta: 12:48:09 time: 0.5369 data_time: 0.0287 memory: 8322 grad_norm: 4.0053 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5414 loss: 1.5414 2022/07/31 22:10:50 - mmengine - INFO - Epoch(train) [27][60/940] lr: 1.0000e-02 eta: 12:48:00 time: 0.7440 data_time: 0.0339 memory: 8322 grad_norm: 4.0361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5363 loss: 1.5363 2022/07/31 22:11:01 - mmengine - INFO - Epoch(train) [27][80/940] lr: 1.0000e-02 eta: 12:47:42 time: 0.5756 data_time: 0.0348 memory: 8322 grad_norm: 4.0586 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5261 loss: 1.5261 2022/07/31 22:11:15 - mmengine - INFO - Epoch(train) [27][100/940] lr: 1.0000e-02 eta: 12:47:30 time: 0.6827 data_time: 0.0361 memory: 8322 grad_norm: 4.0645 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5310 loss: 1.5310 2022/07/31 22:11:26 - mmengine - INFO - Epoch(train) [27][120/940] lr: 1.0000e-02 eta: 12:47:10 time: 0.5495 data_time: 0.0344 memory: 8322 grad_norm: 4.0909 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5310 loss: 1.5310 2022/07/31 22:11:41 - mmengine - INFO - Epoch(train) [27][140/940] lr: 1.0000e-02 eta: 12:47:01 time: 0.7229 data_time: 0.0399 memory: 8322 grad_norm: 4.1421 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5458 loss: 1.5458 2022/07/31 22:11:52 - mmengine - INFO - Epoch(train) [27][160/940] lr: 1.0000e-02 eta: 12:46:43 time: 0.5831 data_time: 0.0357 memory: 8322 grad_norm: 4.1525 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.5587 loss: 1.5587 2022/07/31 22:12:07 - mmengine - INFO - Epoch(train) [27][180/940] lr: 1.0000e-02 eta: 12:46:34 time: 0.7464 data_time: 0.0361 memory: 8322 grad_norm: 4.0914 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.4314 loss: 1.4314 2022/07/31 22:12:18 - mmengine - INFO - Epoch(train) [27][200/940] lr: 1.0000e-02 eta: 12:46:15 time: 0.5542 data_time: 0.0372 memory: 8322 grad_norm: 4.1410 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5798 loss: 1.5798 2022/07/31 22:12:33 - mmengine - INFO - Epoch(train) [27][220/940] lr: 1.0000e-02 eta: 12:46:06 time: 0.7341 data_time: 0.0406 memory: 8322 grad_norm: 4.1334 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4875 loss: 1.4875 2022/07/31 22:12:44 - mmengine - INFO - Epoch(train) [27][240/940] lr: 1.0000e-02 eta: 12:45:47 time: 0.5599 data_time: 0.0325 memory: 8322 grad_norm: 4.0831 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.5864 loss: 1.5864 2022/07/31 22:12:57 - mmengine - INFO - Epoch(train) [27][260/940] lr: 1.0000e-02 eta: 12:45:33 time: 0.6642 data_time: 0.0374 memory: 8322 grad_norm: 4.0371 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.4335 loss: 1.4335 2022/07/31 22:13:10 - mmengine - INFO - Epoch(train) [27][280/940] lr: 1.0000e-02 eta: 12:45:19 time: 0.6407 data_time: 0.0373 memory: 8322 grad_norm: 4.0593 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5337 loss: 1.5337 2022/07/31 22:13:24 - mmengine - INFO - Epoch(train) [27][300/940] lr: 1.0000e-02 eta: 12:45:06 time: 0.6662 data_time: 0.0360 memory: 8322 grad_norm: 4.0487 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5833 loss: 1.5833 2022/07/31 22:13:36 - mmengine - INFO - Epoch(train) [27][320/940] lr: 1.0000e-02 eta: 12:44:50 time: 0.6213 data_time: 0.0448 memory: 8322 grad_norm: 4.1242 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5891 loss: 1.5891 2022/07/31 22:13:51 - mmengine - INFO - Epoch(train) [27][340/940] lr: 1.0000e-02 eta: 12:44:41 time: 0.7336 data_time: 0.0311 memory: 8322 grad_norm: 4.1704 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6093 loss: 1.6093 2022/07/31 22:14:03 - mmengine - INFO - Epoch(train) [27][360/940] lr: 1.0000e-02 eta: 12:44:25 time: 0.6103 data_time: 0.0319 memory: 8322 grad_norm: 4.1179 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.5207 loss: 1.5207 2022/07/31 22:14:16 - mmengine - INFO - Epoch(train) [27][380/940] lr: 1.0000e-02 eta: 12:44:11 time: 0.6574 data_time: 0.0321 memory: 8322 grad_norm: 4.1635 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5431 loss: 1.5431 2022/07/31 22:14:28 - mmengine - INFO - Epoch(train) [27][400/940] lr: 1.0000e-02 eta: 12:43:55 time: 0.6120 data_time: 0.0336 memory: 8322 grad_norm: 4.1733 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6032 loss: 1.6032 2022/07/31 22:14:42 - mmengine - INFO - Epoch(train) [27][420/940] lr: 1.0000e-02 eta: 12:43:43 time: 0.6888 data_time: 0.0396 memory: 8322 grad_norm: 4.1597 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4478 loss: 1.4478 2022/07/31 22:14:55 - mmengine - INFO - Epoch(train) [27][440/940] lr: 1.0000e-02 eta: 12:43:28 time: 0.6266 data_time: 0.0326 memory: 8322 grad_norm: 4.1245 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5285 loss: 1.5285 2022/07/31 22:15:07 - mmengine - INFO - Epoch(train) [27][460/940] lr: 1.0000e-02 eta: 12:43:11 time: 0.6012 data_time: 0.0344 memory: 8322 grad_norm: 4.0357 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5337 loss: 1.5337 2022/07/31 22:15:20 - mmengine - INFO - Epoch(train) [27][480/940] lr: 1.0000e-02 eta: 12:42:59 time: 0.6836 data_time: 0.0362 memory: 8322 grad_norm: 4.1337 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.5055 loss: 1.5055 2022/07/31 22:15:32 - mmengine - INFO - Epoch(train) [27][500/940] lr: 1.0000e-02 eta: 12:42:42 time: 0.5894 data_time: 0.0403 memory: 8322 grad_norm: 4.0731 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6436 loss: 1.6436 2022/07/31 22:15:45 - mmengine - INFO - Epoch(train) [27][520/940] lr: 1.0000e-02 eta: 12:42:29 time: 0.6691 data_time: 0.0362 memory: 8322 grad_norm: 4.1045 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5040 loss: 1.5040 2022/07/31 22:15:58 - mmengine - INFO - Epoch(train) [27][540/940] lr: 1.0000e-02 eta: 12:42:15 time: 0.6409 data_time: 0.0347 memory: 8322 grad_norm: 4.0567 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6224 loss: 1.6224 2022/07/31 22:16:13 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:16:13 - mmengine - INFO - Epoch(train) [27][560/940] lr: 1.0000e-02 eta: 12:42:05 time: 0.7345 data_time: 0.0368 memory: 8322 grad_norm: 4.1405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6197 loss: 1.6197 2022/07/31 22:16:25 - mmengine - INFO - Epoch(train) [27][580/940] lr: 1.0000e-02 eta: 12:41:48 time: 0.5919 data_time: 0.0368 memory: 8322 grad_norm: 4.0795 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5030 loss: 1.5030 2022/07/31 22:16:39 - mmengine - INFO - Epoch(train) [27][600/940] lr: 1.0000e-02 eta: 12:41:38 time: 0.7226 data_time: 0.0352 memory: 8322 grad_norm: 4.0985 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6093 loss: 1.6093 2022/07/31 22:16:52 - mmengine - INFO - Epoch(train) [27][620/940] lr: 1.0000e-02 eta: 12:41:22 time: 0.6143 data_time: 0.0391 memory: 8322 grad_norm: 4.0129 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.5699 loss: 1.5699 2022/07/31 22:17:05 - mmengine - INFO - Epoch(train) [27][640/940] lr: 1.0000e-02 eta: 12:41:10 time: 0.6714 data_time: 0.0315 memory: 8322 grad_norm: 4.1507 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4520 loss: 1.4520 2022/07/31 22:17:17 - mmengine - INFO - Epoch(train) [27][660/940] lr: 1.0000e-02 eta: 12:40:54 time: 0.6165 data_time: 0.0360 memory: 8322 grad_norm: 4.2208 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5545 loss: 1.5545 2022/07/31 22:17:31 - mmengine - INFO - Epoch(train) [27][680/940] lr: 1.0000e-02 eta: 12:40:40 time: 0.6619 data_time: 0.0446 memory: 8322 grad_norm: 4.0735 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.8314 loss: 1.8314 2022/07/31 22:17:43 - mmengine - INFO - Epoch(train) [27][700/940] lr: 1.0000e-02 eta: 12:40:26 time: 0.6345 data_time: 0.0373 memory: 8322 grad_norm: 3.9857 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4803 loss: 1.4803 2022/07/31 22:17:57 - mmengine - INFO - Epoch(train) [27][720/940] lr: 1.0000e-02 eta: 12:40:14 time: 0.6875 data_time: 0.0296 memory: 8322 grad_norm: 4.1355 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6118 loss: 1.6118 2022/07/31 22:18:08 - mmengine - INFO - Epoch(train) [27][740/940] lr: 1.0000e-02 eta: 12:39:55 time: 0.5611 data_time: 0.0334 memory: 8322 grad_norm: 4.1082 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6415 loss: 1.6415 2022/07/31 22:18:24 - mmengine - INFO - Epoch(train) [27][760/940] lr: 1.0000e-02 eta: 12:39:48 time: 0.7711 data_time: 0.0297 memory: 8322 grad_norm: 4.1360 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6688 loss: 1.6688 2022/07/31 22:18:34 - mmengine - INFO - Epoch(train) [27][780/940] lr: 1.0000e-02 eta: 12:39:28 time: 0.5405 data_time: 0.0359 memory: 8322 grad_norm: 4.1116 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6237 loss: 1.6237 2022/07/31 22:18:48 - mmengine - INFO - Epoch(train) [27][800/940] lr: 1.0000e-02 eta: 12:39:15 time: 0.6736 data_time: 0.0298 memory: 8322 grad_norm: 4.1444 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4795 loss: 1.4795 2022/07/31 22:19:00 - mmengine - INFO - Epoch(train) [27][820/940] lr: 1.0000e-02 eta: 12:38:59 time: 0.6026 data_time: 0.0334 memory: 8322 grad_norm: 4.0701 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6914 loss: 1.6914 2022/07/31 22:19:13 - mmengine - INFO - Epoch(train) [27][840/940] lr: 1.0000e-02 eta: 12:38:44 time: 0.6300 data_time: 0.0347 memory: 8322 grad_norm: 4.1371 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6613 loss: 1.6613 2022/07/31 22:19:26 - mmengine - INFO - Epoch(train) [27][860/940] lr: 1.0000e-02 eta: 12:38:32 time: 0.6864 data_time: 0.0375 memory: 8322 grad_norm: 4.2082 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5141 loss: 1.5141 2022/07/31 22:19:37 - mmengine - INFO - Epoch(train) [27][880/940] lr: 1.0000e-02 eta: 12:38:12 time: 0.5524 data_time: 0.0304 memory: 8322 grad_norm: 4.0795 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5829 loss: 1.5829 2022/07/31 22:19:52 - mmengine - INFO - Epoch(train) [27][900/940] lr: 1.0000e-02 eta: 12:38:03 time: 0.7334 data_time: 0.0342 memory: 8322 grad_norm: 4.1200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5689 loss: 1.5689 2022/07/31 22:20:04 - mmengine - INFO - Epoch(train) [27][920/940] lr: 1.0000e-02 eta: 12:37:45 time: 0.5802 data_time: 0.0445 memory: 8322 grad_norm: 4.1778 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6476 loss: 1.6476 2022/07/31 22:20:13 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:20:13 - mmengine - INFO - Epoch(train) [27][940/940] lr: 1.0000e-02 eta: 12:37:22 time: 0.4816 data_time: 0.0247 memory: 8322 grad_norm: 4.3076 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6733 loss: 1.6733 2022/07/31 22:20:13 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/07/31 22:20:29 - mmengine - INFO - Epoch(val) [27][20/78] eta: 0:00:39 time: 0.6812 data_time: 0.6192 memory: 1463 2022/07/31 22:20:38 - mmengine - INFO - Epoch(val) [27][40/78] eta: 0:00:16 time: 0.4471 data_time: 0.3843 memory: 1463 2022/07/31 22:20:51 - mmengine - INFO - Epoch(val) [27][60/78] eta: 0:00:11 time: 0.6553 data_time: 0.5844 memory: 1463 2022/07/31 22:21:01 - mmengine - INFO - Epoch(val) [27][78/78] acc/top1: 0.6537 acc/top5: 0.8616 acc/mean1: 0.6536 2022/07/31 22:21:01 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_27.pth is removed 2022/07/31 22:21:02 - mmengine - INFO - The best checkpoint with 0.6537 acc/top1 at 28 epoch is saved to best_acc/top1_epoch_28.pth. 2022/07/31 22:21:18 - mmengine - INFO - Epoch(train) [28][20/940] lr: 1.0000e-02 eta: 12:37:16 time: 0.7904 data_time: 0.5774 memory: 8322 grad_norm: 4.1287 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5853 loss: 1.5853 2022/07/31 22:21:29 - mmengine - INFO - Epoch(train) [28][40/940] lr: 1.0000e-02 eta: 12:36:57 time: 0.5606 data_time: 0.3515 memory: 8322 grad_norm: 3.9994 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5069 loss: 1.5069 2022/07/31 22:21:44 - mmengine - INFO - Epoch(train) [28][60/940] lr: 1.0000e-02 eta: 12:36:48 time: 0.7367 data_time: 0.5015 memory: 8322 grad_norm: 4.0905 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4763 loss: 1.4763 2022/07/31 22:21:57 - mmengine - INFO - Epoch(train) [28][80/940] lr: 1.0000e-02 eta: 12:36:33 time: 0.6312 data_time: 0.2636 memory: 8322 grad_norm: 4.0852 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4425 loss: 1.4425 2022/07/31 22:22:10 - mmengine - INFO - Epoch(train) [28][100/940] lr: 1.0000e-02 eta: 12:36:20 time: 0.6687 data_time: 0.3008 memory: 8322 grad_norm: 4.0211 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4581 loss: 1.4581 2022/07/31 22:22:21 - mmengine - INFO - Epoch(train) [28][120/940] lr: 1.0000e-02 eta: 12:36:01 time: 0.5445 data_time: 0.2904 memory: 8322 grad_norm: 4.0325 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3498 loss: 1.3498 2022/07/31 22:22:35 - mmengine - INFO - Epoch(train) [28][140/940] lr: 1.0000e-02 eta: 12:35:50 time: 0.7123 data_time: 0.3072 memory: 8322 grad_norm: 4.0960 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5494 loss: 1.5494 2022/07/31 22:22:49 - mmengine - INFO - Epoch(train) [28][160/940] lr: 1.0000e-02 eta: 12:35:38 time: 0.6843 data_time: 0.0461 memory: 8322 grad_norm: 4.0658 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.5562 loss: 1.5562 2022/07/31 22:23:01 - mmengine - INFO - Epoch(train) [28][180/940] lr: 1.0000e-02 eta: 12:35:21 time: 0.5866 data_time: 0.1682 memory: 8322 grad_norm: 4.1096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5367 loss: 1.5367 2022/07/31 22:23:13 - mmengine - INFO - Epoch(train) [28][200/940] lr: 1.0000e-02 eta: 12:35:06 time: 0.6369 data_time: 0.1998 memory: 8322 grad_norm: 4.1172 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5179 loss: 1.5179 2022/07/31 22:23:28 - mmengine - INFO - Epoch(train) [28][220/940] lr: 1.0000e-02 eta: 12:34:57 time: 0.7321 data_time: 0.4575 memory: 8322 grad_norm: 4.0878 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.5575 loss: 1.5575 2022/07/31 22:23:39 - mmengine - INFO - Epoch(train) [28][240/940] lr: 1.0000e-02 eta: 12:34:39 time: 0.5777 data_time: 0.3633 memory: 8322 grad_norm: 4.1904 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5648 loss: 1.5648 2022/07/31 22:23:52 - mmengine - INFO - Epoch(train) [28][260/940] lr: 1.0000e-02 eta: 12:34:25 time: 0.6438 data_time: 0.4147 memory: 8322 grad_norm: 4.0958 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4988 loss: 1.4988 2022/07/31 22:24:04 - mmengine - INFO - Epoch(train) [28][280/940] lr: 1.0000e-02 eta: 12:34:07 time: 0.5877 data_time: 0.2266 memory: 8322 grad_norm: 4.0973 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4680 loss: 1.4680 2022/07/31 22:24:18 - mmengine - INFO - Epoch(train) [28][300/940] lr: 1.0000e-02 eta: 12:33:56 time: 0.6969 data_time: 0.4199 memory: 8322 grad_norm: 4.1255 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5834 loss: 1.5834 2022/07/31 22:24:30 - mmengine - INFO - Epoch(train) [28][320/940] lr: 1.0000e-02 eta: 12:33:40 time: 0.6032 data_time: 0.2909 memory: 8322 grad_norm: 4.0333 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4859 loss: 1.4859 2022/07/31 22:24:44 - mmengine - INFO - Epoch(train) [28][340/940] lr: 1.0000e-02 eta: 12:33:28 time: 0.6935 data_time: 0.3629 memory: 8322 grad_norm: 4.1022 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4213 loss: 1.4213 2022/07/31 22:24:56 - mmengine - INFO - Epoch(train) [28][360/940] lr: 1.0000e-02 eta: 12:33:12 time: 0.6063 data_time: 0.2892 memory: 8322 grad_norm: 4.1400 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5258 loss: 1.5258 2022/07/31 22:25:10 - mmengine - INFO - Epoch(train) [28][380/940] lr: 1.0000e-02 eta: 12:33:01 time: 0.6990 data_time: 0.3799 memory: 8322 grad_norm: 4.1055 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5653 loss: 1.5653 2022/07/31 22:25:21 - mmengine - INFO - Epoch(train) [28][400/940] lr: 1.0000e-02 eta: 12:32:42 time: 0.5644 data_time: 0.2769 memory: 8322 grad_norm: 4.1206 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5164 loss: 1.5164 2022/07/31 22:25:36 - mmengine - INFO - Epoch(train) [28][420/940] lr: 1.0000e-02 eta: 12:32:32 time: 0.7230 data_time: 0.4532 memory: 8322 grad_norm: 4.0244 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5593 loss: 1.5593 2022/07/31 22:25:48 - mmengine - INFO - Epoch(train) [28][440/940] lr: 1.0000e-02 eta: 12:32:15 time: 0.5823 data_time: 0.3215 memory: 8322 grad_norm: 4.1449 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.5704 loss: 1.5704 2022/07/31 22:26:03 - mmengine - INFO - Epoch(train) [28][460/940] lr: 1.0000e-02 eta: 12:32:07 time: 0.7625 data_time: 0.5070 memory: 8322 grad_norm: 4.1174 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5613 loss: 1.5613 2022/07/31 22:26:14 - mmengine - INFO - Epoch(train) [28][480/940] lr: 1.0000e-02 eta: 12:31:49 time: 0.5846 data_time: 0.3127 memory: 8322 grad_norm: 4.0195 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4933 loss: 1.4933 2022/07/31 22:26:27 - mmengine - INFO - Epoch(train) [28][500/940] lr: 1.0000e-02 eta: 12:31:35 time: 0.6364 data_time: 0.3662 memory: 8322 grad_norm: 4.0794 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5120 loss: 1.5120 2022/07/31 22:26:39 - mmengine - INFO - Epoch(train) [28][520/940] lr: 1.0000e-02 eta: 12:31:17 time: 0.5798 data_time: 0.2792 memory: 8322 grad_norm: 4.0887 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4342 loss: 1.4342 2022/07/31 22:26:53 - mmengine - INFO - Epoch(train) [28][540/940] lr: 1.0000e-02 eta: 12:31:07 time: 0.7183 data_time: 0.3814 memory: 8322 grad_norm: 4.1458 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.6198 loss: 1.6198 2022/07/31 22:27:06 - mmengine - INFO - Epoch(train) [28][560/940] lr: 1.0000e-02 eta: 12:30:52 time: 0.6316 data_time: 0.3745 memory: 8322 grad_norm: 4.0838 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6408 loss: 1.6408 2022/07/31 22:27:20 - mmengine - INFO - Epoch(train) [28][580/940] lr: 1.0000e-02 eta: 12:30:41 time: 0.7032 data_time: 0.4716 memory: 8322 grad_norm: 4.0889 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5502 loss: 1.5502 2022/07/31 22:27:30 - mmengine - INFO - Epoch(train) [28][600/940] lr: 1.0000e-02 eta: 12:30:21 time: 0.5311 data_time: 0.2989 memory: 8322 grad_norm: 4.1810 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5057 loss: 1.5057 2022/07/31 22:27:45 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:27:45 - mmengine - INFO - Epoch(train) [28][620/940] lr: 1.0000e-02 eta: 12:30:10 time: 0.7055 data_time: 0.4091 memory: 8322 grad_norm: 4.1699 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5400 loss: 1.5400 2022/07/31 22:27:56 - mmengine - INFO - Epoch(train) [28][640/940] lr: 1.0000e-02 eta: 12:29:52 time: 0.5754 data_time: 0.3132 memory: 8322 grad_norm: 4.1099 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5004 loss: 1.5004 2022/07/31 22:28:10 - mmengine - INFO - Epoch(train) [28][660/940] lr: 1.0000e-02 eta: 12:29:40 time: 0.6756 data_time: 0.4368 memory: 8322 grad_norm: 4.1065 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5878 loss: 1.5878 2022/07/31 22:28:22 - mmengine - INFO - Epoch(train) [28][680/940] lr: 1.0000e-02 eta: 12:29:24 time: 0.6127 data_time: 0.3956 memory: 8322 grad_norm: 4.2365 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5543 loss: 1.5543 2022/07/31 22:28:35 - mmengine - INFO - Epoch(train) [28][700/940] lr: 1.0000e-02 eta: 12:29:12 time: 0.6787 data_time: 0.2648 memory: 8322 grad_norm: 4.1014 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5702 loss: 1.5702 2022/07/31 22:28:48 - mmengine - INFO - Epoch(train) [28][720/940] lr: 1.0000e-02 eta: 12:28:56 time: 0.6244 data_time: 0.0949 memory: 8322 grad_norm: 4.1034 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.3459 loss: 1.3459 2022/07/31 22:29:00 - mmengine - INFO - Epoch(train) [28][740/940] lr: 1.0000e-02 eta: 12:28:41 time: 0.6275 data_time: 0.0736 memory: 8322 grad_norm: 4.1619 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5247 loss: 1.5247 2022/07/31 22:29:15 - mmengine - INFO - Epoch(train) [28][760/940] lr: 1.0000e-02 eta: 12:28:31 time: 0.7155 data_time: 0.0330 memory: 8322 grad_norm: 4.1281 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.7302 loss: 1.7302 2022/07/31 22:29:27 - mmengine - INFO - Epoch(train) [28][780/940] lr: 1.0000e-02 eta: 12:28:15 time: 0.6156 data_time: 0.0410 memory: 8322 grad_norm: 4.0662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4766 loss: 1.4766 2022/07/31 22:29:41 - mmengine - INFO - Epoch(train) [28][800/940] lr: 1.0000e-02 eta: 12:28:03 time: 0.6758 data_time: 0.0342 memory: 8322 grad_norm: 4.1366 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5418 loss: 1.5418 2022/07/31 22:29:54 - mmengine - INFO - Epoch(train) [28][820/940] lr: 1.0000e-02 eta: 12:27:50 time: 0.6623 data_time: 0.0328 memory: 8322 grad_norm: 4.1330 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6207 loss: 1.6207 2022/07/31 22:30:05 - mmengine - INFO - Epoch(train) [28][840/940] lr: 1.0000e-02 eta: 12:27:32 time: 0.5718 data_time: 0.0373 memory: 8322 grad_norm: 4.1772 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5511 loss: 1.5511 2022/07/31 22:30:19 - mmengine - INFO - Epoch(train) [28][860/940] lr: 1.0000e-02 eta: 12:27:19 time: 0.6668 data_time: 0.0401 memory: 8322 grad_norm: 4.0839 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5365 loss: 1.5365 2022/07/31 22:30:33 - mmengine - INFO - Epoch(train) [28][880/940] lr: 1.0000e-02 eta: 12:27:07 time: 0.6959 data_time: 0.0295 memory: 8322 grad_norm: 4.1520 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.5241 loss: 1.5241 2022/07/31 22:30:44 - mmengine - INFO - Epoch(train) [28][900/940] lr: 1.0000e-02 eta: 12:26:49 time: 0.5718 data_time: 0.0370 memory: 8322 grad_norm: 4.1403 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.4435 loss: 1.4435 2022/07/31 22:30:58 - mmengine - INFO - Epoch(train) [28][920/940] lr: 1.0000e-02 eta: 12:26:38 time: 0.6979 data_time: 0.0312 memory: 8322 grad_norm: 4.1174 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5456 loss: 1.5456 2022/07/31 22:31:07 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:31:07 - mmengine - INFO - Epoch(train) [28][940/940] lr: 1.0000e-02 eta: 12:26:15 time: 0.4647 data_time: 0.0657 memory: 8322 grad_norm: 4.3206 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6544 loss: 1.6544 2022/07/31 22:31:20 - mmengine - INFO - Epoch(val) [28][20/78] eta: 0:00:37 time: 0.6485 data_time: 0.5836 memory: 1463 2022/07/31 22:31:29 - mmengine - INFO - Epoch(val) [28][40/78] eta: 0:00:17 time: 0.4493 data_time: 0.3851 memory: 1463 2022/07/31 22:31:42 - mmengine - INFO - Epoch(val) [28][60/78] eta: 0:00:11 time: 0.6367 data_time: 0.5624 memory: 1463 2022/07/31 22:31:54 - mmengine - INFO - Epoch(val) [28][78/78] acc/top1: 0.6420 acc/top5: 0.8542 acc/mean1: 0.6420 2022/07/31 22:32:10 - mmengine - INFO - Epoch(train) [29][20/940] lr: 1.0000e-02 eta: 12:26:09 time: 0.8126 data_time: 0.5443 memory: 8322 grad_norm: 4.0492 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4375 loss: 1.4375 2022/07/31 22:32:22 - mmengine - INFO - Epoch(train) [29][40/940] lr: 1.0000e-02 eta: 12:25:51 time: 0.5697 data_time: 0.3567 memory: 8322 grad_norm: 4.0921 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4162 loss: 1.4162 2022/07/31 22:32:36 - mmengine - INFO - Epoch(train) [29][60/940] lr: 1.0000e-02 eta: 12:25:41 time: 0.7118 data_time: 0.4732 memory: 8322 grad_norm: 4.0848 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4686 loss: 1.4686 2022/07/31 22:32:48 - mmengine - INFO - Epoch(train) [29][80/940] lr: 1.0000e-02 eta: 12:25:24 time: 0.5986 data_time: 0.3557 memory: 8322 grad_norm: 4.0968 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5121 loss: 1.5121 2022/07/31 22:33:03 - mmengine - INFO - Epoch(train) [29][100/940] lr: 1.0000e-02 eta: 12:25:16 time: 0.7622 data_time: 0.5122 memory: 8322 grad_norm: 4.1077 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5207 loss: 1.5207 2022/07/31 22:33:14 - mmengine - INFO - Epoch(train) [29][120/940] lr: 1.0000e-02 eta: 12:24:57 time: 0.5491 data_time: 0.3107 memory: 8322 grad_norm: 4.0545 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3722 loss: 1.3722 2022/07/31 22:33:28 - mmengine - INFO - Epoch(train) [29][140/940] lr: 1.0000e-02 eta: 12:24:45 time: 0.6897 data_time: 0.4489 memory: 8322 grad_norm: 4.1625 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.6381 loss: 1.6381 2022/07/31 22:33:39 - mmengine - INFO - Epoch(train) [29][160/940] lr: 1.0000e-02 eta: 12:24:26 time: 0.5463 data_time: 0.3063 memory: 8322 grad_norm: 4.2337 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4888 loss: 1.4888 2022/07/31 22:33:53 - mmengine - INFO - Epoch(train) [29][180/940] lr: 1.0000e-02 eta: 12:24:16 time: 0.7261 data_time: 0.4256 memory: 8322 grad_norm: 4.1037 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5558 loss: 1.5558 2022/07/31 22:34:04 - mmengine - INFO - Epoch(train) [29][200/940] lr: 1.0000e-02 eta: 12:23:58 time: 0.5609 data_time: 0.2098 memory: 8322 grad_norm: 4.1185 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4788 loss: 1.4788 2022/07/31 22:34:19 - mmengine - INFO - Epoch(train) [29][220/940] lr: 1.0000e-02 eta: 12:23:47 time: 0.7166 data_time: 0.2517 memory: 8322 grad_norm: 4.1206 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5260 loss: 1.5260 2022/07/31 22:34:31 - mmengine - INFO - Epoch(train) [29][240/940] lr: 1.0000e-02 eta: 12:23:30 time: 0.5877 data_time: 0.1621 memory: 8322 grad_norm: 4.1721 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4936 loss: 1.4936 2022/07/31 22:34:45 - mmengine - INFO - Epoch(train) [29][260/940] lr: 1.0000e-02 eta: 12:23:21 time: 0.7396 data_time: 0.2295 memory: 8322 grad_norm: 4.1529 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5603 loss: 1.5603 2022/07/31 22:34:57 - mmengine - INFO - Epoch(train) [29][280/940] lr: 1.0000e-02 eta: 12:23:04 time: 0.5842 data_time: 0.1345 memory: 8322 grad_norm: 4.1061 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5177 loss: 1.5177 2022/07/31 22:35:11 - mmengine - INFO - Epoch(train) [29][300/940] lr: 1.0000e-02 eta: 12:22:51 time: 0.6751 data_time: 0.2623 memory: 8322 grad_norm: 4.1718 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3743 loss: 1.3743 2022/07/31 22:35:22 - mmengine - INFO - Epoch(train) [29][320/940] lr: 1.0000e-02 eta: 12:22:33 time: 0.5654 data_time: 0.2799 memory: 8322 grad_norm: 4.1555 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.6001 loss: 1.6001 2022/07/31 22:35:37 - mmengine - INFO - Epoch(train) [29][340/940] lr: 1.0000e-02 eta: 12:22:25 time: 0.7507 data_time: 0.4302 memory: 8322 grad_norm: 4.0847 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.4958 loss: 1.4958 2022/07/31 22:35:47 - mmengine - INFO - Epoch(train) [29][360/940] lr: 1.0000e-02 eta: 12:22:04 time: 0.5220 data_time: 0.2715 memory: 8322 grad_norm: 3.9763 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5276 loss: 1.5276 2022/07/31 22:36:02 - mmengine - INFO - Epoch(train) [29][380/940] lr: 1.0000e-02 eta: 12:21:55 time: 0.7310 data_time: 0.4010 memory: 8322 grad_norm: 4.1058 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5428 loss: 1.5428 2022/07/31 22:36:14 - mmengine - INFO - Epoch(train) [29][400/940] lr: 1.0000e-02 eta: 12:21:39 time: 0.6152 data_time: 0.2864 memory: 8322 grad_norm: 4.2978 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4603 loss: 1.4603 2022/07/31 22:36:28 - mmengine - INFO - Epoch(train) [29][420/940] lr: 1.0000e-02 eta: 12:21:28 time: 0.6992 data_time: 0.4436 memory: 8322 grad_norm: 4.2092 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5803 loss: 1.5803 2022/07/31 22:36:40 - mmengine - INFO - Epoch(train) [29][440/940] lr: 1.0000e-02 eta: 12:21:11 time: 0.5971 data_time: 0.2270 memory: 8322 grad_norm: 4.1685 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5665 loss: 1.5665 2022/07/31 22:36:54 - mmengine - INFO - Epoch(train) [29][460/940] lr: 1.0000e-02 eta: 12:20:59 time: 0.6891 data_time: 0.1777 memory: 8322 grad_norm: 4.1569 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5709 loss: 1.5709 2022/07/31 22:37:06 - mmengine - INFO - Epoch(train) [29][480/940] lr: 1.0000e-02 eta: 12:20:42 time: 0.5835 data_time: 0.1783 memory: 8322 grad_norm: 4.1022 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5833 loss: 1.5833 2022/07/31 22:37:19 - mmengine - INFO - Epoch(train) [29][500/940] lr: 1.0000e-02 eta: 12:20:30 time: 0.6873 data_time: 0.2246 memory: 8322 grad_norm: 4.1761 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3998 loss: 1.3998 2022/07/31 22:37:30 - mmengine - INFO - Epoch(train) [29][520/940] lr: 1.0000e-02 eta: 12:20:12 time: 0.5486 data_time: 0.2453 memory: 8322 grad_norm: 4.1721 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5739 loss: 1.5739 2022/07/31 22:37:46 - mmengine - INFO - Epoch(train) [29][540/940] lr: 1.0000e-02 eta: 12:20:04 time: 0.7829 data_time: 0.3902 memory: 8322 grad_norm: 4.1830 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4437 loss: 1.4437 2022/07/31 22:37:57 - mmengine - INFO - Epoch(train) [29][560/940] lr: 1.0000e-02 eta: 12:19:46 time: 0.5527 data_time: 0.0415 memory: 8322 grad_norm: 4.2622 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4774 loss: 1.4774 2022/07/31 22:38:12 - mmengine - INFO - Epoch(train) [29][580/940] lr: 1.0000e-02 eta: 12:19:37 time: 0.7475 data_time: 0.1051 memory: 8322 grad_norm: 4.2025 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4837 loss: 1.4837 2022/07/31 22:38:24 - mmengine - INFO - Epoch(train) [29][600/940] lr: 1.0000e-02 eta: 12:19:20 time: 0.5870 data_time: 0.0350 memory: 8322 grad_norm: 4.1874 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4665 loss: 1.4665 2022/07/31 22:38:38 - mmengine - INFO - Epoch(train) [29][620/940] lr: 1.0000e-02 eta: 12:19:10 time: 0.7305 data_time: 0.0351 memory: 8322 grad_norm: 4.1535 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4862 loss: 1.4862 2022/07/31 22:38:49 - mmengine - INFO - Epoch(train) [29][640/940] lr: 1.0000e-02 eta: 12:18:49 time: 0.5138 data_time: 0.0354 memory: 8322 grad_norm: 4.1963 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4847 loss: 1.4847 2022/07/31 22:39:03 - mmengine - INFO - Epoch(train) [29][660/940] lr: 1.0000e-02 eta: 12:18:40 time: 0.7317 data_time: 0.0380 memory: 8322 grad_norm: 4.1727 top1_acc: 0.3750 top5_acc: 0.6562 loss_cls: 1.5494 loss: 1.5494 2022/07/31 22:39:15 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:39:15 - mmengine - INFO - Epoch(train) [29][680/940] lr: 1.0000e-02 eta: 12:18:23 time: 0.5828 data_time: 0.0316 memory: 8322 grad_norm: 4.1616 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6097 loss: 1.6097 2022/07/31 22:39:29 - mmengine - INFO - Epoch(train) [29][700/940] lr: 1.0000e-02 eta: 12:18:11 time: 0.6866 data_time: 0.0550 memory: 8322 grad_norm: 4.0190 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4308 loss: 1.4308 2022/07/31 22:39:41 - mmengine - INFO - Epoch(train) [29][720/940] lr: 1.0000e-02 eta: 12:17:54 time: 0.6001 data_time: 0.0323 memory: 8322 grad_norm: 4.1645 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.4716 loss: 1.4716 2022/07/31 22:39:56 - mmengine - INFO - Epoch(train) [29][740/940] lr: 1.0000e-02 eta: 12:17:46 time: 0.7514 data_time: 0.0356 memory: 8322 grad_norm: 4.2012 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4864 loss: 1.4864 2022/07/31 22:40:08 - mmengine - INFO - Epoch(train) [29][760/940] lr: 1.0000e-02 eta: 12:17:29 time: 0.5939 data_time: 0.0290 memory: 8322 grad_norm: 4.0687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5021 loss: 1.5021 2022/07/31 22:40:21 - mmengine - INFO - Epoch(train) [29][780/940] lr: 1.0000e-02 eta: 12:17:17 time: 0.6789 data_time: 0.0342 memory: 8322 grad_norm: 4.1397 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5763 loss: 1.5763 2022/07/31 22:40:33 - mmengine - INFO - Epoch(train) [29][800/940] lr: 1.0000e-02 eta: 12:17:00 time: 0.5828 data_time: 0.0339 memory: 8322 grad_norm: 4.1726 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.6095 loss: 1.6095 2022/07/31 22:40:47 - mmengine - INFO - Epoch(train) [29][820/940] lr: 1.0000e-02 eta: 12:16:48 time: 0.6873 data_time: 0.0373 memory: 8322 grad_norm: 4.0486 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5088 loss: 1.5088 2022/07/31 22:40:58 - mmengine - INFO - Epoch(train) [29][840/940] lr: 1.0000e-02 eta: 12:16:30 time: 0.5643 data_time: 0.0371 memory: 8322 grad_norm: 4.1121 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4907 loss: 1.4907 2022/07/31 22:41:13 - mmengine - INFO - Epoch(train) [29][860/940] lr: 1.0000e-02 eta: 12:16:20 time: 0.7371 data_time: 0.0328 memory: 8322 grad_norm: 4.2089 top1_acc: 0.4062 top5_acc: 0.8125 loss_cls: 1.6052 loss: 1.6052 2022/07/31 22:41:24 - mmengine - INFO - Epoch(train) [29][880/940] lr: 1.0000e-02 eta: 12:16:02 time: 0.5607 data_time: 0.0348 memory: 8322 grad_norm: 4.1841 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6214 loss: 1.6214 2022/07/31 22:41:38 - mmengine - INFO - Epoch(train) [29][900/940] lr: 1.0000e-02 eta: 12:15:50 time: 0.6944 data_time: 0.0304 memory: 8322 grad_norm: 4.1261 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6066 loss: 1.6066 2022/07/31 22:41:49 - mmengine - INFO - Epoch(train) [29][920/940] lr: 1.0000e-02 eta: 12:15:33 time: 0.5640 data_time: 0.0380 memory: 8322 grad_norm: 4.1498 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5700 loss: 1.5700 2022/07/31 22:42:02 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:42:02 - mmengine - INFO - Epoch(train) [29][940/940] lr: 1.0000e-02 eta: 12:15:18 time: 0.6355 data_time: 0.0228 memory: 8322 grad_norm: 4.3493 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.4945 loss: 1.4945 2022/07/31 22:42:15 - mmengine - INFO - Epoch(val) [29][20/78] eta: 0:00:39 time: 0.6738 data_time: 0.6065 memory: 1463 2022/07/31 22:42:24 - mmengine - INFO - Epoch(val) [29][40/78] eta: 0:00:16 time: 0.4316 data_time: 0.3619 memory: 1463 2022/07/31 22:42:37 - mmengine - INFO - Epoch(val) [29][60/78] eta: 0:00:11 time: 0.6494 data_time: 0.5841 memory: 1463 2022/07/31 22:42:48 - mmengine - INFO - Epoch(val) [29][78/78] acc/top1: 0.6472 acc/top5: 0.8600 acc/mean1: 0.6471 2022/07/31 22:43:05 - mmengine - INFO - Epoch(train) [30][20/940] lr: 1.0000e-02 eta: 12:15:15 time: 0.8680 data_time: 0.4481 memory: 8322 grad_norm: 4.0599 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5754 loss: 1.5754 2022/07/31 22:43:15 - mmengine - INFO - Epoch(train) [30][40/940] lr: 1.0000e-02 eta: 12:14:54 time: 0.5027 data_time: 0.1213 memory: 8322 grad_norm: 4.0917 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5520 loss: 1.5520 2022/07/31 22:43:30 - mmengine - INFO - Epoch(train) [30][60/940] lr: 1.0000e-02 eta: 12:14:46 time: 0.7605 data_time: 0.1805 memory: 8322 grad_norm: 4.1552 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5450 loss: 1.5450 2022/07/31 22:43:42 - mmengine - INFO - Epoch(train) [30][80/940] lr: 1.0000e-02 eta: 12:14:28 time: 0.5663 data_time: 0.0827 memory: 8322 grad_norm: 3.9915 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4668 loss: 1.4668 2022/07/31 22:43:55 - mmengine - INFO - Epoch(train) [30][100/940] lr: 1.0000e-02 eta: 12:14:16 time: 0.6889 data_time: 0.0933 memory: 8322 grad_norm: 4.0354 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4237 loss: 1.4237 2022/07/31 22:44:07 - mmengine - INFO - Epoch(train) [30][120/940] lr: 1.0000e-02 eta: 12:13:59 time: 0.5870 data_time: 0.1282 memory: 8322 grad_norm: 4.0733 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4803 loss: 1.4803 2022/07/31 22:44:21 - mmengine - INFO - Epoch(train) [30][140/940] lr: 1.0000e-02 eta: 12:13:47 time: 0.6786 data_time: 0.0531 memory: 8322 grad_norm: 4.1524 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4403 loss: 1.4403 2022/07/31 22:44:32 - mmengine - INFO - Epoch(train) [30][160/940] lr: 1.0000e-02 eta: 12:13:29 time: 0.5721 data_time: 0.0384 memory: 8322 grad_norm: 4.1752 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.4131 loss: 1.4131 2022/07/31 22:44:47 - mmengine - INFO - Epoch(train) [30][180/940] lr: 1.0000e-02 eta: 12:13:19 time: 0.7319 data_time: 0.0569 memory: 8322 grad_norm: 4.1665 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4858 loss: 1.4858 2022/07/31 22:44:57 - mmengine - INFO - Epoch(train) [30][200/940] lr: 1.0000e-02 eta: 12:13:00 time: 0.5248 data_time: 0.0285 memory: 8322 grad_norm: 4.1838 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5675 loss: 1.5675 2022/07/31 22:45:12 - mmengine - INFO - Epoch(train) [30][220/940] lr: 1.0000e-02 eta: 12:12:49 time: 0.7261 data_time: 0.0954 memory: 8322 grad_norm: 4.1956 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6488 loss: 1.6488 2022/07/31 22:45:23 - mmengine - INFO - Epoch(train) [30][240/940] lr: 1.0000e-02 eta: 12:12:32 time: 0.5770 data_time: 0.1292 memory: 8322 grad_norm: 4.1410 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4281 loss: 1.4281 2022/07/31 22:45:37 - mmengine - INFO - Epoch(train) [30][260/940] lr: 1.0000e-02 eta: 12:12:20 time: 0.6908 data_time: 0.1430 memory: 8322 grad_norm: 4.1502 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4958 loss: 1.4958 2022/07/31 22:45:49 - mmengine - INFO - Epoch(train) [30][280/940] lr: 1.0000e-02 eta: 12:12:03 time: 0.5777 data_time: 0.0294 memory: 8322 grad_norm: 4.1416 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4192 loss: 1.4192 2022/07/31 22:46:04 - mmengine - INFO - Epoch(train) [30][300/940] lr: 1.0000e-02 eta: 12:11:54 time: 0.7523 data_time: 0.0523 memory: 8322 grad_norm: 4.2220 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4769 loss: 1.4769 2022/07/31 22:46:14 - mmengine - INFO - Epoch(train) [30][320/940] lr: 1.0000e-02 eta: 12:11:34 time: 0.5207 data_time: 0.0545 memory: 8322 grad_norm: 4.1659 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4719 loss: 1.4719 2022/07/31 22:46:29 - mmengine - INFO - Epoch(train) [30][340/940] lr: 1.0000e-02 eta: 12:11:25 time: 0.7305 data_time: 0.0534 memory: 8322 grad_norm: 4.0558 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4225 loss: 1.4225 2022/07/31 22:46:40 - mmengine - INFO - Epoch(train) [30][360/940] lr: 1.0000e-02 eta: 12:11:06 time: 0.5577 data_time: 0.0283 memory: 8322 grad_norm: 4.2080 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5253 loss: 1.5253 2022/07/31 22:46:54 - mmengine - INFO - Epoch(train) [30][380/940] lr: 1.0000e-02 eta: 12:10:56 time: 0.7157 data_time: 0.0623 memory: 8322 grad_norm: 4.1879 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5256 loss: 1.5256 2022/07/31 22:47:06 - mmengine - INFO - Epoch(train) [30][400/940] lr: 1.0000e-02 eta: 12:10:40 time: 0.5982 data_time: 0.0715 memory: 8322 grad_norm: 4.2027 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3909 loss: 1.3909 2022/07/31 22:47:20 - mmengine - INFO - Epoch(train) [30][420/940] lr: 1.0000e-02 eta: 12:10:28 time: 0.6963 data_time: 0.1560 memory: 8322 grad_norm: 4.1952 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5419 loss: 1.5419 2022/07/31 22:47:31 - mmengine - INFO - Epoch(train) [30][440/940] lr: 1.0000e-02 eta: 12:10:10 time: 0.5536 data_time: 0.0646 memory: 8322 grad_norm: 4.2321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4334 loss: 1.4334 2022/07/31 22:47:46 - mmengine - INFO - Epoch(train) [30][460/940] lr: 1.0000e-02 eta: 12:09:59 time: 0.7222 data_time: 0.0335 memory: 8322 grad_norm: 4.1526 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6434 loss: 1.6434 2022/07/31 22:47:57 - mmengine - INFO - Epoch(train) [30][480/940] lr: 1.0000e-02 eta: 12:09:41 time: 0.5584 data_time: 0.0299 memory: 8322 grad_norm: 4.1716 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4555 loss: 1.4555 2022/07/31 22:48:11 - mmengine - INFO - Epoch(train) [30][500/940] lr: 1.0000e-02 eta: 12:09:31 time: 0.7145 data_time: 0.0619 memory: 8322 grad_norm: 4.2221 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5543 loss: 1.5543 2022/07/31 22:48:22 - mmengine - INFO - Epoch(train) [30][520/940] lr: 1.0000e-02 eta: 12:09:12 time: 0.5441 data_time: 0.0273 memory: 8322 grad_norm: 4.1087 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4186 loss: 1.4186 2022/07/31 22:48:36 - mmengine - INFO - Epoch(train) [30][540/940] lr: 1.0000e-02 eta: 12:09:00 time: 0.6867 data_time: 0.0584 memory: 8322 grad_norm: 4.1830 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5945 loss: 1.5945 2022/07/31 22:48:48 - mmengine - INFO - Epoch(train) [30][560/940] lr: 1.0000e-02 eta: 12:08:44 time: 0.6094 data_time: 0.1092 memory: 8322 grad_norm: 4.0740 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4615 loss: 1.4615 2022/07/31 22:49:02 - mmengine - INFO - Epoch(train) [30][580/940] lr: 1.0000e-02 eta: 12:08:33 time: 0.7070 data_time: 0.0312 memory: 8322 grad_norm: 4.1461 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5569 loss: 1.5569 2022/07/31 22:49:14 - mmengine - INFO - Epoch(train) [30][600/940] lr: 1.0000e-02 eta: 12:08:17 time: 0.5946 data_time: 0.0253 memory: 8322 grad_norm: 4.0494 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6083 loss: 1.6083 2022/07/31 22:49:28 - mmengine - INFO - Epoch(train) [30][620/940] lr: 1.0000e-02 eta: 12:08:06 time: 0.7026 data_time: 0.0356 memory: 8322 grad_norm: 4.1518 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.4542 loss: 1.4542 2022/07/31 22:49:40 - mmengine - INFO - Epoch(train) [30][640/940] lr: 1.0000e-02 eta: 12:07:49 time: 0.5849 data_time: 0.0264 memory: 8322 grad_norm: 4.1695 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5743 loss: 1.5743 2022/07/31 22:49:54 - mmengine - INFO - Epoch(train) [30][660/940] lr: 1.0000e-02 eta: 12:07:38 time: 0.7204 data_time: 0.0366 memory: 8322 grad_norm: 4.2063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6008 loss: 1.6008 2022/07/31 22:50:05 - mmengine - INFO - Epoch(train) [30][680/940] lr: 1.0000e-02 eta: 12:07:21 time: 0.5627 data_time: 0.0278 memory: 8322 grad_norm: 4.2066 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5819 loss: 1.5819 2022/07/31 22:50:20 - mmengine - INFO - Epoch(train) [30][700/940] lr: 1.0000e-02 eta: 12:07:11 time: 0.7439 data_time: 0.0478 memory: 8322 grad_norm: 4.1343 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4191 loss: 1.4191 2022/07/31 22:50:32 - mmengine - INFO - Epoch(train) [30][720/940] lr: 1.0000e-02 eta: 12:06:53 time: 0.5576 data_time: 0.0280 memory: 8322 grad_norm: 4.2317 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5464 loss: 1.5464 2022/07/31 22:50:47 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:50:47 - mmengine - INFO - Epoch(train) [30][740/940] lr: 1.0000e-02 eta: 12:06:44 time: 0.7493 data_time: 0.0420 memory: 8322 grad_norm: 4.2567 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.5122 loss: 1.5122 2022/07/31 22:50:57 - mmengine - INFO - Epoch(train) [30][760/940] lr: 1.0000e-02 eta: 12:06:25 time: 0.5314 data_time: 0.0377 memory: 8322 grad_norm: 4.1050 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.4854 loss: 1.4854 2022/07/31 22:51:12 - mmengine - INFO - Epoch(train) [30][780/940] lr: 1.0000e-02 eta: 12:06:15 time: 0.7283 data_time: 0.0365 memory: 8322 grad_norm: 4.1436 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5759 loss: 1.5759 2022/07/31 22:51:23 - mmengine - INFO - Epoch(train) [30][800/940] lr: 1.0000e-02 eta: 12:05:58 time: 0.5822 data_time: 0.0343 memory: 8322 grad_norm: 4.0981 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4526 loss: 1.4526 2022/07/31 22:51:39 - mmengine - INFO - Epoch(train) [30][820/940] lr: 1.0000e-02 eta: 12:05:50 time: 0.7805 data_time: 0.0371 memory: 8322 grad_norm: 4.1807 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5848 loss: 1.5848 2022/07/31 22:51:50 - mmengine - INFO - Epoch(train) [30][840/940] lr: 1.0000e-02 eta: 12:05:33 time: 0.5678 data_time: 0.0379 memory: 8322 grad_norm: 4.1988 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5574 loss: 1.5574 2022/07/31 22:52:04 - mmengine - INFO - Epoch(train) [30][860/940] lr: 1.0000e-02 eta: 12:05:22 time: 0.7010 data_time: 0.0455 memory: 8322 grad_norm: 4.1458 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5966 loss: 1.5966 2022/07/31 22:52:17 - mmengine - INFO - Epoch(train) [30][880/940] lr: 1.0000e-02 eta: 12:05:07 time: 0.6266 data_time: 0.0386 memory: 8322 grad_norm: 4.1981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5058 loss: 1.5058 2022/07/31 22:52:30 - mmengine - INFO - Epoch(train) [30][900/940] lr: 1.0000e-02 eta: 12:04:53 time: 0.6433 data_time: 0.0334 memory: 8322 grad_norm: 4.1802 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.5047 loss: 1.5047 2022/07/31 22:52:41 - mmengine - INFO - Epoch(train) [30][920/940] lr: 1.0000e-02 eta: 12:04:34 time: 0.5461 data_time: 0.0400 memory: 8322 grad_norm: 4.1340 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5125 loss: 1.5125 2022/07/31 22:52:51 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 22:52:51 - mmengine - INFO - Epoch(train) [30][940/940] lr: 1.0000e-02 eta: 12:04:15 time: 0.5308 data_time: 0.0281 memory: 8322 grad_norm: 4.3198 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5110 loss: 1.5110 2022/07/31 22:52:51 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/07/31 22:53:06 - mmengine - INFO - Epoch(val) [30][20/78] eta: 0:00:39 time: 0.6845 data_time: 0.6227 memory: 1463 2022/07/31 22:53:15 - mmengine - INFO - Epoch(val) [30][40/78] eta: 0:00:16 time: 0.4284 data_time: 0.3646 memory: 1463 2022/07/31 22:53:28 - mmengine - INFO - Epoch(val) [30][60/78] eta: 0:00:11 time: 0.6519 data_time: 0.5908 memory: 1463 2022/07/31 22:53:37 - mmengine - INFO - Epoch(val) [30][78/78] acc/top1: 0.6256 acc/top5: 0.8385 acc/mean1: 0.6254 2022/07/31 22:53:54 - mmengine - INFO - Epoch(train) [31][20/940] lr: 1.0000e-02 eta: 12:04:10 time: 0.8356 data_time: 0.4563 memory: 8322 grad_norm: 4.1830 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5109 loss: 1.5109 2022/07/31 22:54:05 - mmengine - INFO - Epoch(train) [31][40/940] lr: 1.0000e-02 eta: 12:03:52 time: 0.5533 data_time: 0.2185 memory: 8322 grad_norm: 4.0796 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4436 loss: 1.4436 2022/07/31 22:54:20 - mmengine - INFO - Epoch(train) [31][60/940] lr: 1.0000e-02 eta: 12:03:42 time: 0.7411 data_time: 0.2619 memory: 8322 grad_norm: 4.0730 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5043 loss: 1.5043 2022/07/31 22:54:31 - mmengine - INFO - Epoch(train) [31][80/940] lr: 1.0000e-02 eta: 12:03:24 time: 0.5532 data_time: 0.2969 memory: 8322 grad_norm: 4.1258 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4066 loss: 1.4066 2022/07/31 22:54:45 - mmengine - INFO - Epoch(train) [31][100/940] lr: 1.0000e-02 eta: 12:03:12 time: 0.6951 data_time: 0.2965 memory: 8322 grad_norm: 4.1125 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4277 loss: 1.4277 2022/07/31 22:54:56 - mmengine - INFO - Epoch(train) [31][120/940] lr: 1.0000e-02 eta: 12:02:54 time: 0.5600 data_time: 0.1194 memory: 8322 grad_norm: 4.1576 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4898 loss: 1.4898 2022/07/31 22:55:11 - mmengine - INFO - Epoch(train) [31][140/940] lr: 1.0000e-02 eta: 12:02:44 time: 0.7137 data_time: 0.1571 memory: 8322 grad_norm: 4.1241 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4989 loss: 1.4989 2022/07/31 22:55:23 - mmengine - INFO - Epoch(train) [31][160/940] lr: 1.0000e-02 eta: 12:02:28 time: 0.6035 data_time: 0.1030 memory: 8322 grad_norm: 4.0223 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5602 loss: 1.5602 2022/07/31 22:55:37 - mmengine - INFO - Epoch(train) [31][180/940] lr: 1.0000e-02 eta: 12:02:18 time: 0.7327 data_time: 0.0422 memory: 8322 grad_norm: 4.1714 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4892 loss: 1.4892 2022/07/31 22:55:49 - mmengine - INFO - Epoch(train) [31][200/940] lr: 1.0000e-02 eta: 12:02:01 time: 0.5760 data_time: 0.0292 memory: 8322 grad_norm: 4.0974 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5020 loss: 1.5020 2022/07/31 22:56:04 - mmengine - INFO - Epoch(train) [31][220/940] lr: 1.0000e-02 eta: 12:01:52 time: 0.7530 data_time: 0.1547 memory: 8322 grad_norm: 4.1983 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4888 loss: 1.4888 2022/07/31 22:56:16 - mmengine - INFO - Epoch(train) [31][240/940] lr: 1.0000e-02 eta: 12:01:35 time: 0.5863 data_time: 0.2224 memory: 8322 grad_norm: 4.2056 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5837 loss: 1.5837 2022/07/31 22:56:29 - mmengine - INFO - Epoch(train) [31][260/940] lr: 1.0000e-02 eta: 12:01:23 time: 0.6855 data_time: 0.3213 memory: 8322 grad_norm: 4.1596 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4933 loss: 1.4933 2022/07/31 22:56:40 - mmengine - INFO - Epoch(train) [31][280/940] lr: 1.0000e-02 eta: 12:01:04 time: 0.5384 data_time: 0.2579 memory: 8322 grad_norm: 4.1650 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4513 loss: 1.4513 2022/07/31 22:56:54 - mmengine - INFO - Epoch(train) [31][300/940] lr: 1.0000e-02 eta: 12:00:54 time: 0.7135 data_time: 0.3233 memory: 8322 grad_norm: 4.1819 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4876 loss: 1.4876 2022/07/31 22:57:07 - mmengine - INFO - Epoch(train) [31][320/940] lr: 1.0000e-02 eta: 12:00:38 time: 0.6160 data_time: 0.1850 memory: 8322 grad_norm: 4.2579 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5226 loss: 1.5226 2022/07/31 22:57:21 - mmengine - INFO - Epoch(train) [31][340/940] lr: 1.0000e-02 eta: 12:00:27 time: 0.6962 data_time: 0.2613 memory: 8322 grad_norm: 4.2129 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4523 loss: 1.4523 2022/07/31 22:57:32 - mmengine - INFO - Epoch(train) [31][360/940] lr: 1.0000e-02 eta: 12:00:09 time: 0.5619 data_time: 0.1778 memory: 8322 grad_norm: 4.1716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5537 loss: 1.5537 2022/07/31 22:57:47 - mmengine - INFO - Epoch(train) [31][380/940] lr: 1.0000e-02 eta: 11:59:59 time: 0.7215 data_time: 0.2913 memory: 8322 grad_norm: 4.0949 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5086 loss: 1.5086 2022/07/31 22:57:58 - mmengine - INFO - Epoch(train) [31][400/940] lr: 1.0000e-02 eta: 11:59:42 time: 0.5766 data_time: 0.1882 memory: 8322 grad_norm: 4.2590 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4380 loss: 1.4380 2022/07/31 22:58:12 - mmengine - INFO - Epoch(train) [31][420/940] lr: 1.0000e-02 eta: 11:59:30 time: 0.6932 data_time: 0.3710 memory: 8322 grad_norm: 4.2108 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5270 loss: 1.5270 2022/07/31 22:58:23 - mmengine - INFO - Epoch(train) [31][440/940] lr: 1.0000e-02 eta: 11:59:13 time: 0.5701 data_time: 0.2015 memory: 8322 grad_norm: 4.1752 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4212 loss: 1.4212 2022/07/31 22:58:37 - mmengine - INFO - Epoch(train) [31][460/940] lr: 1.0000e-02 eta: 11:59:02 time: 0.7123 data_time: 0.1285 memory: 8322 grad_norm: 4.2648 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4540 loss: 1.4540 2022/07/31 22:58:49 - mmengine - INFO - Epoch(train) [31][480/940] lr: 1.0000e-02 eta: 11:58:44 time: 0.5631 data_time: 0.1717 memory: 8322 grad_norm: 4.1765 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5671 loss: 1.5671 2022/07/31 22:59:03 - mmengine - INFO - Epoch(train) [31][500/940] lr: 1.0000e-02 eta: 11:58:33 time: 0.6956 data_time: 0.2024 memory: 8322 grad_norm: 4.2082 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4682 loss: 1.4682 2022/07/31 22:59:15 - mmengine - INFO - Epoch(train) [31][520/940] lr: 1.0000e-02 eta: 11:58:17 time: 0.6018 data_time: 0.0497 memory: 8322 grad_norm: 4.0749 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4742 loss: 1.4742 2022/07/31 22:59:29 - mmengine - INFO - Epoch(train) [31][540/940] lr: 1.0000e-02 eta: 11:58:05 time: 0.6971 data_time: 0.0528 memory: 8322 grad_norm: 4.1626 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.4600 loss: 1.4600 2022/07/31 22:59:40 - mmengine - INFO - Epoch(train) [31][560/940] lr: 1.0000e-02 eta: 11:57:48 time: 0.5699 data_time: 0.0289 memory: 8322 grad_norm: 4.1135 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5262 loss: 1.5262 2022/07/31 22:59:55 - mmengine - INFO - Epoch(train) [31][580/940] lr: 1.0000e-02 eta: 11:57:38 time: 0.7411 data_time: 0.0367 memory: 8322 grad_norm: 4.1853 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5373 loss: 1.5373 2022/07/31 23:00:05 - mmengine - INFO - Epoch(train) [31][600/940] lr: 1.0000e-02 eta: 11:57:19 time: 0.5243 data_time: 0.0317 memory: 8322 grad_norm: 4.2421 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5986 loss: 1.5986 2022/07/31 23:00:20 - mmengine - INFO - Epoch(train) [31][620/940] lr: 1.0000e-02 eta: 11:57:09 time: 0.7332 data_time: 0.0361 memory: 8322 grad_norm: 4.2254 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5317 loss: 1.5317 2022/07/31 23:00:32 - mmengine - INFO - Epoch(train) [31][640/940] lr: 1.0000e-02 eta: 11:56:53 time: 0.5861 data_time: 0.0324 memory: 8322 grad_norm: 4.2707 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5616 loss: 1.5616 2022/07/31 23:00:46 - mmengine - INFO - Epoch(train) [31][660/940] lr: 1.0000e-02 eta: 11:56:42 time: 0.7270 data_time: 0.0359 memory: 8322 grad_norm: 4.1812 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 1.5233 loss: 1.5233 2022/07/31 23:00:58 - mmengine - INFO - Epoch(train) [31][680/940] lr: 1.0000e-02 eta: 11:56:27 time: 0.6023 data_time: 0.0283 memory: 8322 grad_norm: 4.2500 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4631 loss: 1.4631 2022/07/31 23:01:13 - mmengine - INFO - Epoch(train) [31][700/940] lr: 1.0000e-02 eta: 11:56:17 time: 0.7426 data_time: 0.0333 memory: 8322 grad_norm: 4.1752 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4454 loss: 1.4454 2022/07/31 23:01:25 - mmengine - INFO - Epoch(train) [31][720/940] lr: 1.0000e-02 eta: 11:56:01 time: 0.5928 data_time: 0.0331 memory: 8322 grad_norm: 4.0640 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5808 loss: 1.5808 2022/07/31 23:01:39 - mmengine - INFO - Epoch(train) [31][740/940] lr: 1.0000e-02 eta: 11:55:49 time: 0.6821 data_time: 0.0344 memory: 8322 grad_norm: 4.2230 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5147 loss: 1.5147 2022/07/31 23:01:52 - mmengine - INFO - Epoch(train) [31][760/940] lr: 1.0000e-02 eta: 11:55:35 time: 0.6580 data_time: 0.0353 memory: 8322 grad_norm: 4.2032 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5514 loss: 1.5514 2022/07/31 23:02:04 - mmengine - INFO - Epoch(train) [31][780/940] lr: 1.0000e-02 eta: 11:55:20 time: 0.6029 data_time: 0.0375 memory: 8322 grad_norm: 4.1827 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5588 loss: 1.5588 2022/07/31 23:02:16 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:02:16 - mmengine - INFO - Epoch(train) [31][800/940] lr: 1.0000e-02 eta: 11:55:04 time: 0.6081 data_time: 0.0356 memory: 8322 grad_norm: 4.2348 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.4956 loss: 1.4956 2022/07/31 23:02:31 - mmengine - INFO - Epoch(train) [31][820/940] lr: 1.0000e-02 eta: 11:54:55 time: 0.7544 data_time: 0.0339 memory: 8322 grad_norm: 4.2509 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6183 loss: 1.6183 2022/07/31 23:02:43 - mmengine - INFO - Epoch(train) [31][840/940] lr: 1.0000e-02 eta: 11:54:39 time: 0.5946 data_time: 0.0352 memory: 8322 grad_norm: 4.1728 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4859 loss: 1.4859 2022/07/31 23:02:57 - mmengine - INFO - Epoch(train) [31][860/940] lr: 1.0000e-02 eta: 11:54:27 time: 0.6963 data_time: 0.0406 memory: 8322 grad_norm: 4.2075 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.4870 loss: 1.4870 2022/07/31 23:03:08 - mmengine - INFO - Epoch(train) [31][880/940] lr: 1.0000e-02 eta: 11:54:10 time: 0.5742 data_time: 0.0364 memory: 8322 grad_norm: 4.2574 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6112 loss: 1.6112 2022/07/31 23:03:21 - mmengine - INFO - Epoch(train) [31][900/940] lr: 1.0000e-02 eta: 11:53:56 time: 0.6362 data_time: 0.0485 memory: 8322 grad_norm: 4.1662 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5381 loss: 1.5381 2022/07/31 23:03:33 - mmengine - INFO - Epoch(train) [31][920/940] lr: 1.0000e-02 eta: 11:53:39 time: 0.5697 data_time: 0.0336 memory: 8322 grad_norm: 4.1645 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5432 loss: 1.5432 2022/07/31 23:03:43 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:03:43 - mmengine - INFO - Epoch(train) [31][940/940] lr: 1.0000e-02 eta: 11:53:19 time: 0.5001 data_time: 0.0266 memory: 8322 grad_norm: 4.4558 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5369 loss: 1.5369 2022/07/31 23:03:56 - mmengine - INFO - Epoch(val) [31][20/78] eta: 0:00:38 time: 0.6718 data_time: 0.6089 memory: 1463 2022/07/31 23:04:05 - mmengine - INFO - Epoch(val) [31][40/78] eta: 0:00:17 time: 0.4532 data_time: 0.3849 memory: 1463 2022/07/31 23:04:18 - mmengine - INFO - Epoch(val) [31][60/78] eta: 0:00:11 time: 0.6264 data_time: 0.5635 memory: 1463 2022/07/31 23:04:29 - mmengine - INFO - Epoch(val) [31][78/78] acc/top1: 0.6499 acc/top5: 0.8614 acc/mean1: 0.6497 2022/07/31 23:04:46 - mmengine - INFO - Epoch(train) [32][20/940] lr: 1.0000e-02 eta: 11:53:14 time: 0.8654 data_time: 0.6026 memory: 8322 grad_norm: 4.1649 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4210 loss: 1.4210 2022/07/31 23:04:59 - mmengine - INFO - Epoch(train) [32][40/940] lr: 1.0000e-02 eta: 11:53:00 time: 0.6356 data_time: 0.3883 memory: 8322 grad_norm: 4.0862 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.4518 loss: 1.4518 2022/07/31 23:05:13 - mmengine - INFO - Epoch(train) [32][60/940] lr: 1.0000e-02 eta: 11:52:48 time: 0.6935 data_time: 0.4375 memory: 8322 grad_norm: 4.2255 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4777 loss: 1.4777 2022/07/31 23:05:24 - mmengine - INFO - Epoch(train) [32][80/940] lr: 1.0000e-02 eta: 11:52:32 time: 0.5750 data_time: 0.2069 memory: 8322 grad_norm: 4.1499 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.4982 loss: 1.4982 2022/07/31 23:05:40 - mmengine - INFO - Epoch(train) [32][100/940] lr: 1.0000e-02 eta: 11:52:23 time: 0.7729 data_time: 0.2472 memory: 8322 grad_norm: 4.1342 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.6328 loss: 1.6328 2022/07/31 23:05:50 - mmengine - INFO - Epoch(train) [32][120/940] lr: 1.0000e-02 eta: 11:52:04 time: 0.5178 data_time: 0.1943 memory: 8322 grad_norm: 4.2205 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.4845 loss: 1.4845 2022/07/31 23:06:04 - mmengine - INFO - Epoch(train) [32][140/940] lr: 1.0000e-02 eta: 11:51:54 time: 0.7251 data_time: 0.4070 memory: 8322 grad_norm: 4.1606 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4713 loss: 1.4713 2022/07/31 23:06:17 - mmengine - INFO - Epoch(train) [32][160/940] lr: 1.0000e-02 eta: 11:51:38 time: 0.6048 data_time: 0.3496 memory: 8322 grad_norm: 4.2008 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5366 loss: 1.5366 2022/07/31 23:06:30 - mmengine - INFO - Epoch(train) [32][180/940] lr: 1.0000e-02 eta: 11:51:26 time: 0.6879 data_time: 0.4449 memory: 8322 grad_norm: 4.1729 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5771 loss: 1.5771 2022/07/31 23:06:42 - mmengine - INFO - Epoch(train) [32][200/940] lr: 1.0000e-02 eta: 11:51:10 time: 0.6036 data_time: 0.3766 memory: 8322 grad_norm: 4.1135 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4905 loss: 1.4905 2022/07/31 23:06:57 - mmengine - INFO - Epoch(train) [32][220/940] lr: 1.0000e-02 eta: 11:50:59 time: 0.7136 data_time: 0.4648 memory: 8322 grad_norm: 4.2418 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5323 loss: 1.5323 2022/07/31 23:07:09 - mmengine - INFO - Epoch(train) [32][240/940] lr: 1.0000e-02 eta: 11:50:44 time: 0.6174 data_time: 0.3724 memory: 8322 grad_norm: 4.1957 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5428 loss: 1.5428 2022/07/31 23:07:22 - mmengine - INFO - Epoch(train) [32][260/940] lr: 1.0000e-02 eta: 11:50:31 time: 0.6612 data_time: 0.4046 memory: 8322 grad_norm: 4.1169 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3713 loss: 1.3713 2022/07/31 23:07:33 - mmengine - INFO - Epoch(train) [32][280/940] lr: 1.0000e-02 eta: 11:50:14 time: 0.5596 data_time: 0.2830 memory: 8322 grad_norm: 4.2009 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5431 loss: 1.5431 2022/07/31 23:07:49 - mmengine - INFO - Epoch(train) [32][300/940] lr: 1.0000e-02 eta: 11:50:05 time: 0.7633 data_time: 0.4715 memory: 8322 grad_norm: 4.2041 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5273 loss: 1.5273 2022/07/31 23:08:00 - mmengine - INFO - Epoch(train) [32][320/940] lr: 1.0000e-02 eta: 11:49:47 time: 0.5451 data_time: 0.3096 memory: 8322 grad_norm: 4.1187 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4603 loss: 1.4603 2022/07/31 23:08:14 - mmengine - INFO - Epoch(train) [32][340/940] lr: 1.0000e-02 eta: 11:49:36 time: 0.7111 data_time: 0.4299 memory: 8322 grad_norm: 4.2203 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3301 loss: 1.3301 2022/07/31 23:08:25 - mmengine - INFO - Epoch(train) [32][360/940] lr: 1.0000e-02 eta: 11:49:17 time: 0.5394 data_time: 0.2651 memory: 8322 grad_norm: 4.1343 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.4153 loss: 1.4153 2022/07/31 23:08:39 - mmengine - INFO - Epoch(train) [32][380/940] lr: 1.0000e-02 eta: 11:49:06 time: 0.6977 data_time: 0.3813 memory: 8322 grad_norm: 4.1934 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4942 loss: 1.4942 2022/07/31 23:08:51 - mmengine - INFO - Epoch(train) [32][400/940] lr: 1.0000e-02 eta: 11:48:51 time: 0.6283 data_time: 0.2715 memory: 8322 grad_norm: 4.1551 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5532 loss: 1.5532 2022/07/31 23:09:06 - mmengine - INFO - Epoch(train) [32][420/940] lr: 1.0000e-02 eta: 11:48:42 time: 0.7477 data_time: 0.2520 memory: 8322 grad_norm: 4.1545 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4667 loss: 1.4667 2022/07/31 23:09:18 - mmengine - INFO - Epoch(train) [32][440/940] lr: 1.0000e-02 eta: 11:48:25 time: 0.5879 data_time: 0.0568 memory: 8322 grad_norm: 4.1714 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3678 loss: 1.3678 2022/07/31 23:09:31 - mmengine - INFO - Epoch(train) [32][460/940] lr: 1.0000e-02 eta: 11:48:13 time: 0.6731 data_time: 0.0508 memory: 8322 grad_norm: 4.1544 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4966 loss: 1.4966 2022/07/31 23:09:42 - mmengine - INFO - Epoch(train) [32][480/940] lr: 1.0000e-02 eta: 11:47:55 time: 0.5559 data_time: 0.1070 memory: 8322 grad_norm: 4.1799 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4089 loss: 1.4089 2022/07/31 23:09:57 - mmengine - INFO - Epoch(train) [32][500/940] lr: 1.0000e-02 eta: 11:47:45 time: 0.7302 data_time: 0.0761 memory: 8322 grad_norm: 4.1333 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5820 loss: 1.5820 2022/07/31 23:10:09 - mmengine - INFO - Epoch(train) [32][520/940] lr: 1.0000e-02 eta: 11:47:29 time: 0.5931 data_time: 0.0425 memory: 8322 grad_norm: 4.1824 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4477 loss: 1.4477 2022/07/31 23:10:23 - mmengine - INFO - Epoch(train) [32][540/940] lr: 1.0000e-02 eta: 11:47:18 time: 0.7185 data_time: 0.0358 memory: 8322 grad_norm: 4.2099 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5024 loss: 1.5024 2022/07/31 23:10:35 - mmengine - INFO - Epoch(train) [32][560/940] lr: 1.0000e-02 eta: 11:47:01 time: 0.5679 data_time: 0.0307 memory: 8322 grad_norm: 4.2180 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5053 loss: 1.5053 2022/07/31 23:10:49 - mmengine - INFO - Epoch(train) [32][580/940] lr: 1.0000e-02 eta: 11:46:51 time: 0.7246 data_time: 0.0373 memory: 8322 grad_norm: 4.2707 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6458 loss: 1.6458 2022/07/31 23:11:01 - mmengine - INFO - Epoch(train) [32][600/940] lr: 1.0000e-02 eta: 11:46:35 time: 0.5944 data_time: 0.0307 memory: 8322 grad_norm: 4.2093 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5238 loss: 1.5238 2022/07/31 23:11:15 - mmengine - INFO - Epoch(train) [32][620/940] lr: 1.0000e-02 eta: 11:46:22 time: 0.6741 data_time: 0.0385 memory: 8322 grad_norm: 4.1565 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4793 loss: 1.4793 2022/07/31 23:11:27 - mmengine - INFO - Epoch(train) [32][640/940] lr: 1.0000e-02 eta: 11:46:07 time: 0.6240 data_time: 0.0404 memory: 8322 grad_norm: 4.2325 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4787 loss: 1.4787 2022/07/31 23:11:41 - mmengine - INFO - Epoch(train) [32][660/940] lr: 1.0000e-02 eta: 11:45:55 time: 0.6821 data_time: 0.0356 memory: 8322 grad_norm: 4.2275 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6681 loss: 1.6681 2022/07/31 23:11:54 - mmengine - INFO - Epoch(train) [32][680/940] lr: 1.0000e-02 eta: 11:45:42 time: 0.6612 data_time: 0.0346 memory: 8322 grad_norm: 4.1735 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5459 loss: 1.5459 2022/07/31 23:12:05 - mmengine - INFO - Epoch(train) [32][700/940] lr: 1.0000e-02 eta: 11:45:25 time: 0.5696 data_time: 0.0385 memory: 8322 grad_norm: 4.1886 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.5698 loss: 1.5698 2022/07/31 23:12:20 - mmengine - INFO - Epoch(train) [32][720/940] lr: 1.0000e-02 eta: 11:45:15 time: 0.7281 data_time: 0.0395 memory: 8322 grad_norm: 4.2540 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5102 loss: 1.5102 2022/07/31 23:12:31 - mmengine - INFO - Epoch(train) [32][740/940] lr: 1.0000e-02 eta: 11:44:58 time: 0.5707 data_time: 0.0352 memory: 8322 grad_norm: 4.1643 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5609 loss: 1.5609 2022/07/31 23:12:44 - mmengine - INFO - Epoch(train) [32][760/940] lr: 1.0000e-02 eta: 11:44:44 time: 0.6603 data_time: 0.0355 memory: 8322 grad_norm: 4.1542 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5346 loss: 1.5346 2022/07/31 23:12:56 - mmengine - INFO - Epoch(train) [32][780/940] lr: 1.0000e-02 eta: 11:44:27 time: 0.5615 data_time: 0.0501 memory: 8322 grad_norm: 4.1993 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5058 loss: 1.5058 2022/07/31 23:13:10 - mmengine - INFO - Epoch(train) [32][800/940] lr: 1.0000e-02 eta: 11:44:16 time: 0.7008 data_time: 0.0391 memory: 8322 grad_norm: 4.1863 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.5389 loss: 1.5389 2022/07/31 23:13:21 - mmengine - INFO - Epoch(train) [32][820/940] lr: 1.0000e-02 eta: 11:43:58 time: 0.5582 data_time: 0.0307 memory: 8322 grad_norm: 4.1897 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6050 loss: 1.6050 2022/07/31 23:13:36 - mmengine - INFO - Epoch(train) [32][840/940] lr: 1.0000e-02 eta: 11:43:48 time: 0.7390 data_time: 0.0400 memory: 8322 grad_norm: 4.2259 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.5840 loss: 1.5840 2022/07/31 23:13:47 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:13:47 - mmengine - INFO - Epoch(train) [32][860/940] lr: 1.0000e-02 eta: 11:43:31 time: 0.5656 data_time: 0.0381 memory: 8322 grad_norm: 4.2084 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5501 loss: 1.5501 2022/07/31 23:14:02 - mmengine - INFO - Epoch(train) [32][880/940] lr: 1.0000e-02 eta: 11:43:21 time: 0.7262 data_time: 0.0476 memory: 8322 grad_norm: 4.2448 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3992 loss: 1.3992 2022/07/31 23:14:14 - mmengine - INFO - Epoch(train) [32][900/940] lr: 1.0000e-02 eta: 11:43:05 time: 0.5984 data_time: 0.0278 memory: 8322 grad_norm: 4.1601 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5266 loss: 1.5266 2022/07/31 23:14:27 - mmengine - INFO - Epoch(train) [32][920/940] lr: 1.0000e-02 eta: 11:42:52 time: 0.6546 data_time: 0.0361 memory: 8322 grad_norm: 4.1418 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5742 loss: 1.5742 2022/07/31 23:14:37 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:14:37 - mmengine - INFO - Epoch(train) [32][940/940] lr: 1.0000e-02 eta: 11:42:32 time: 0.5100 data_time: 0.0328 memory: 8322 grad_norm: 4.4655 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6248 loss: 1.6248 2022/07/31 23:14:51 - mmengine - INFO - Epoch(val) [32][20/78] eta: 0:00:39 time: 0.6853 data_time: 0.6204 memory: 1463 2022/07/31 23:14:59 - mmengine - INFO - Epoch(val) [32][40/78] eta: 0:00:16 time: 0.4398 data_time: 0.3751 memory: 1463 2022/07/31 23:15:13 - mmengine - INFO - Epoch(val) [32][60/78] eta: 0:00:12 time: 0.6935 data_time: 0.6297 memory: 1463 2022/07/31 23:15:23 - mmengine - INFO - Epoch(val) [32][78/78] acc/top1: 0.6295 acc/top5: 0.8453 acc/mean1: 0.6295 2022/07/31 23:15:39 - mmengine - INFO - Epoch(train) [33][20/940] lr: 1.0000e-02 eta: 11:42:25 time: 0.8070 data_time: 0.4223 memory: 8322 grad_norm: 4.1890 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5978 loss: 1.5978 2022/07/31 23:15:51 - mmengine - INFO - Epoch(train) [33][40/940] lr: 1.0000e-02 eta: 11:42:07 time: 0.5539 data_time: 0.1782 memory: 8322 grad_norm: 4.1241 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4174 loss: 1.4174 2022/07/31 23:16:06 - mmengine - INFO - Epoch(train) [33][60/940] lr: 1.0000e-02 eta: 11:41:58 time: 0.7526 data_time: 0.1516 memory: 8322 grad_norm: 4.1947 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3615 loss: 1.3615 2022/07/31 23:16:17 - mmengine - INFO - Epoch(train) [33][80/940] lr: 1.0000e-02 eta: 11:41:41 time: 0.5695 data_time: 0.0920 memory: 8322 grad_norm: 4.1506 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5189 loss: 1.5189 2022/07/31 23:16:31 - mmengine - INFO - Epoch(train) [33][100/940] lr: 1.0000e-02 eta: 11:41:31 time: 0.7231 data_time: 0.0924 memory: 8322 grad_norm: 4.1497 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.4757 loss: 1.4757 2022/07/31 23:16:43 - mmengine - INFO - Epoch(train) [33][120/940] lr: 1.0000e-02 eta: 11:41:14 time: 0.5825 data_time: 0.0778 memory: 8322 grad_norm: 4.1309 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4598 loss: 1.4598 2022/07/31 23:16:59 - mmengine - INFO - Epoch(train) [33][140/940] lr: 1.0000e-02 eta: 11:41:06 time: 0.7793 data_time: 0.1363 memory: 8322 grad_norm: 4.1094 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5764 loss: 1.5764 2022/07/31 23:17:09 - mmengine - INFO - Epoch(train) [33][160/940] lr: 1.0000e-02 eta: 11:40:47 time: 0.5281 data_time: 0.0421 memory: 8322 grad_norm: 4.1762 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4272 loss: 1.4272 2022/07/31 23:17:24 - mmengine - INFO - Epoch(train) [33][180/940] lr: 1.0000e-02 eta: 11:40:38 time: 0.7451 data_time: 0.0529 memory: 8322 grad_norm: 4.1936 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4950 loss: 1.4950 2022/07/31 23:17:35 - mmengine - INFO - Epoch(train) [33][200/940] lr: 1.0000e-02 eta: 11:40:20 time: 0.5543 data_time: 0.0671 memory: 8322 grad_norm: 4.2188 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5702 loss: 1.5702 2022/07/31 23:17:50 - mmengine - INFO - Epoch(train) [33][220/940] lr: 1.0000e-02 eta: 11:40:10 time: 0.7298 data_time: 0.0470 memory: 8322 grad_norm: 4.1819 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4858 loss: 1.4858 2022/07/31 23:18:01 - mmengine - INFO - Epoch(train) [33][240/940] lr: 1.0000e-02 eta: 11:39:52 time: 0.5548 data_time: 0.0360 memory: 8322 grad_norm: 4.1730 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.6734 loss: 1.6734 2022/07/31 23:18:15 - mmengine - INFO - Epoch(train) [33][260/940] lr: 1.0000e-02 eta: 11:39:41 time: 0.7042 data_time: 0.0363 memory: 8322 grad_norm: 4.1944 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5075 loss: 1.5075 2022/07/31 23:18:27 - mmengine - INFO - Epoch(train) [33][280/940] lr: 1.0000e-02 eta: 11:39:24 time: 0.5773 data_time: 0.0392 memory: 8322 grad_norm: 4.2311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5253 loss: 1.5253 2022/07/31 23:18:40 - mmengine - INFO - Epoch(train) [33][300/940] lr: 1.0000e-02 eta: 11:39:12 time: 0.6834 data_time: 0.0319 memory: 8322 grad_norm: 4.1232 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3806 loss: 1.3806 2022/07/31 23:18:51 - mmengine - INFO - Epoch(train) [33][320/940] lr: 1.0000e-02 eta: 11:38:54 time: 0.5328 data_time: 0.0375 memory: 8322 grad_norm: 4.2017 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.3643 loss: 1.3643 2022/07/31 23:19:06 - mmengine - INFO - Epoch(train) [33][340/940] lr: 1.0000e-02 eta: 11:38:45 time: 0.7624 data_time: 0.0303 memory: 8322 grad_norm: 4.2201 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3809 loss: 1.3809 2022/07/31 23:19:17 - mmengine - INFO - Epoch(train) [33][360/940] lr: 1.0000e-02 eta: 11:38:27 time: 0.5400 data_time: 0.0314 memory: 8322 grad_norm: 4.2582 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.5670 loss: 1.5670 2022/07/31 23:19:32 - mmengine - INFO - Epoch(train) [33][380/940] lr: 1.0000e-02 eta: 11:38:17 time: 0.7508 data_time: 0.0355 memory: 8322 grad_norm: 4.1817 top1_acc: 0.7188 top5_acc: 0.7500 loss_cls: 1.4331 loss: 1.4331 2022/07/31 23:19:43 - mmengine - INFO - Epoch(train) [33][400/940] lr: 1.0000e-02 eta: 11:38:00 time: 0.5724 data_time: 0.0241 memory: 8322 grad_norm: 4.1383 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4971 loss: 1.4971 2022/07/31 23:19:58 - mmengine - INFO - Epoch(train) [33][420/940] lr: 1.0000e-02 eta: 11:37:51 time: 0.7388 data_time: 0.0454 memory: 8322 grad_norm: 4.2732 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5862 loss: 1.5862 2022/07/31 23:20:08 - mmengine - INFO - Epoch(train) [33][440/940] lr: 1.0000e-02 eta: 11:37:31 time: 0.5017 data_time: 0.0228 memory: 8322 grad_norm: 4.1455 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4921 loss: 1.4921 2022/07/31 23:20:23 - mmengine - INFO - Epoch(train) [33][460/940] lr: 1.0000e-02 eta: 11:37:21 time: 0.7508 data_time: 0.0649 memory: 8322 grad_norm: 4.2243 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5138 loss: 1.5138 2022/07/31 23:20:34 - mmengine - INFO - Epoch(train) [33][480/940] lr: 1.0000e-02 eta: 11:37:03 time: 0.5205 data_time: 0.0288 memory: 8322 grad_norm: 4.1485 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5564 loss: 1.5564 2022/07/31 23:20:48 - mmengine - INFO - Epoch(train) [33][500/940] lr: 1.0000e-02 eta: 11:36:51 time: 0.6929 data_time: 0.0330 memory: 8322 grad_norm: 4.2181 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6158 loss: 1.6158 2022/07/31 23:21:01 - mmengine - INFO - Epoch(train) [33][520/940] lr: 1.0000e-02 eta: 11:36:38 time: 0.6713 data_time: 0.0365 memory: 8322 grad_norm: 4.1987 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5268 loss: 1.5268 2022/07/31 23:21:14 - mmengine - INFO - Epoch(train) [33][540/940] lr: 1.0000e-02 eta: 11:36:25 time: 0.6509 data_time: 0.1171 memory: 8322 grad_norm: 4.1374 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6664 loss: 1.6664 2022/07/31 23:21:25 - mmengine - INFO - Epoch(train) [33][560/940] lr: 1.0000e-02 eta: 11:36:07 time: 0.5632 data_time: 0.1618 memory: 8322 grad_norm: 4.1850 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4637 loss: 1.4637 2022/07/31 23:21:39 - mmengine - INFO - Epoch(train) [33][580/940] lr: 1.0000e-02 eta: 11:35:56 time: 0.6946 data_time: 0.1916 memory: 8322 grad_norm: 4.2120 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4299 loss: 1.4299 2022/07/31 23:21:52 - mmengine - INFO - Epoch(train) [33][600/940] lr: 1.0000e-02 eta: 11:35:42 time: 0.6449 data_time: 0.0653 memory: 8322 grad_norm: 4.2144 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6016 loss: 1.6016 2022/07/31 23:22:05 - mmengine - INFO - Epoch(train) [33][620/940] lr: 1.0000e-02 eta: 11:35:28 time: 0.6468 data_time: 0.1417 memory: 8322 grad_norm: 4.2579 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6401 loss: 1.6401 2022/07/31 23:22:16 - mmengine - INFO - Epoch(train) [33][640/940] lr: 1.0000e-02 eta: 11:35:11 time: 0.5677 data_time: 0.1207 memory: 8322 grad_norm: 4.2007 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4356 loss: 1.4356 2022/07/31 23:22:31 - mmengine - INFO - Epoch(train) [33][660/940] lr: 1.0000e-02 eta: 11:35:01 time: 0.7332 data_time: 0.0494 memory: 8322 grad_norm: 4.2144 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4894 loss: 1.4894 2022/07/31 23:22:42 - mmengine - INFO - Epoch(train) [33][680/940] lr: 1.0000e-02 eta: 11:34:44 time: 0.5643 data_time: 0.0603 memory: 8322 grad_norm: 4.2697 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5214 loss: 1.5214 2022/07/31 23:22:57 - mmengine - INFO - Epoch(train) [33][700/940] lr: 1.0000e-02 eta: 11:34:33 time: 0.7131 data_time: 0.1460 memory: 8322 grad_norm: 4.1887 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5659 loss: 1.5659 2022/07/31 23:23:08 - mmengine - INFO - Epoch(train) [33][720/940] lr: 1.0000e-02 eta: 11:34:17 time: 0.5803 data_time: 0.0682 memory: 8322 grad_norm: 4.2008 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6228 loss: 1.6228 2022/07/31 23:23:22 - mmengine - INFO - Epoch(train) [33][740/940] lr: 1.0000e-02 eta: 11:34:05 time: 0.6920 data_time: 0.1898 memory: 8322 grad_norm: 4.2361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3831 loss: 1.3831 2022/07/31 23:23:34 - mmengine - INFO - Epoch(train) [33][760/940] lr: 1.0000e-02 eta: 11:33:50 time: 0.6144 data_time: 0.0734 memory: 8322 grad_norm: 4.2289 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6260 loss: 1.6260 2022/07/31 23:23:47 - mmengine - INFO - Epoch(train) [33][780/940] lr: 1.0000e-02 eta: 11:33:36 time: 0.6494 data_time: 0.0476 memory: 8322 grad_norm: 4.1605 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4989 loss: 1.4989 2022/07/31 23:24:01 - mmengine - INFO - Epoch(train) [33][800/940] lr: 1.0000e-02 eta: 11:33:23 time: 0.6661 data_time: 0.0359 memory: 8322 grad_norm: 4.2234 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.6241 loss: 1.6241 2022/07/31 23:24:14 - mmengine - INFO - Epoch(train) [33][820/940] lr: 1.0000e-02 eta: 11:33:10 time: 0.6648 data_time: 0.0333 memory: 8322 grad_norm: 4.2510 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5588 loss: 1.5588 2022/07/31 23:24:25 - mmengine - INFO - Epoch(train) [33][840/940] lr: 1.0000e-02 eta: 11:32:53 time: 0.5485 data_time: 0.0399 memory: 8322 grad_norm: 4.3211 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4200 loss: 1.4200 2022/07/31 23:24:40 - mmengine - INFO - Epoch(train) [33][860/940] lr: 1.0000e-02 eta: 11:32:44 time: 0.7757 data_time: 0.0388 memory: 8322 grad_norm: 4.2104 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5498 loss: 1.5498 2022/07/31 23:24:51 - mmengine - INFO - Epoch(train) [33][880/940] lr: 1.0000e-02 eta: 11:32:27 time: 0.5504 data_time: 0.0329 memory: 8322 grad_norm: 4.2310 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5128 loss: 1.5128 2022/07/31 23:25:04 - mmengine - INFO - Epoch(train) [33][900/940] lr: 1.0000e-02 eta: 11:32:13 time: 0.6428 data_time: 0.0353 memory: 8322 grad_norm: 4.1631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3317 loss: 1.3317 2022/07/31 23:25:16 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:25:16 - mmengine - INFO - Epoch(train) [33][920/940] lr: 1.0000e-02 eta: 11:31:57 time: 0.6004 data_time: 0.0292 memory: 8322 grad_norm: 4.2883 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.6582 loss: 1.6582 2022/07/31 23:25:29 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:25:29 - mmengine - INFO - Epoch(train) [33][940/940] lr: 1.0000e-02 eta: 11:31:42 time: 0.6168 data_time: 0.0291 memory: 8322 grad_norm: 4.4747 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4037 loss: 1.4037 2022/07/31 23:25:29 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/07/31 23:25:45 - mmengine - INFO - Epoch(val) [33][20/78] eta: 0:00:39 time: 0.6816 data_time: 0.6182 memory: 1463 2022/07/31 23:25:54 - mmengine - INFO - Epoch(val) [33][40/78] eta: 0:00:16 time: 0.4364 data_time: 0.3551 memory: 1463 2022/07/31 23:26:08 - mmengine - INFO - Epoch(val) [33][60/78] eta: 0:00:12 time: 0.6922 data_time: 0.6161 memory: 1463 2022/07/31 23:26:16 - mmengine - INFO - Epoch(val) [33][78/78] acc/top1: 0.6446 acc/top5: 0.8569 acc/mean1: 0.6445 2022/07/31 23:26:34 - mmengine - INFO - Epoch(train) [34][20/940] lr: 1.0000e-02 eta: 11:31:39 time: 0.8950 data_time: 0.5488 memory: 8322 grad_norm: 4.1313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3908 loss: 1.3908 2022/07/31 23:26:44 - mmengine - INFO - Epoch(train) [34][40/940] lr: 1.0000e-02 eta: 11:31:19 time: 0.4886 data_time: 0.1791 memory: 8322 grad_norm: 4.0299 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4194 loss: 1.4194 2022/07/31 23:26:59 - mmengine - INFO - Epoch(train) [34][60/940] lr: 1.0000e-02 eta: 11:31:09 time: 0.7420 data_time: 0.3788 memory: 8322 grad_norm: 4.1031 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 1.4845 loss: 1.4845 2022/07/31 23:27:10 - mmengine - INFO - Epoch(train) [34][80/940] lr: 1.0000e-02 eta: 11:30:50 time: 0.5335 data_time: 0.2833 memory: 8322 grad_norm: 4.0856 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4944 loss: 1.4944 2022/07/31 23:27:24 - mmengine - INFO - Epoch(train) [34][100/940] lr: 1.0000e-02 eta: 11:30:40 time: 0.7296 data_time: 0.4243 memory: 8322 grad_norm: 4.2421 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6130 loss: 1.6130 2022/07/31 23:27:35 - mmengine - INFO - Epoch(train) [34][120/940] lr: 1.0000e-02 eta: 11:30:23 time: 0.5584 data_time: 0.3001 memory: 8322 grad_norm: 4.2133 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.4125 loss: 1.4125 2022/07/31 23:27:50 - mmengine - INFO - Epoch(train) [34][140/940] lr: 1.0000e-02 eta: 11:30:12 time: 0.7274 data_time: 0.4825 memory: 8322 grad_norm: 4.2096 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4292 loss: 1.4292 2022/07/31 23:28:02 - mmengine - INFO - Epoch(train) [34][160/940] lr: 1.0000e-02 eta: 11:29:56 time: 0.5808 data_time: 0.3399 memory: 8322 grad_norm: 4.2815 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4603 loss: 1.4603 2022/07/31 23:28:16 - mmengine - INFO - Epoch(train) [34][180/940] lr: 1.0000e-02 eta: 11:29:46 time: 0.7326 data_time: 0.4915 memory: 8322 grad_norm: 4.2087 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3281 loss: 1.3281 2022/07/31 23:28:28 - mmengine - INFO - Epoch(train) [34][200/940] lr: 1.0000e-02 eta: 11:29:30 time: 0.5814 data_time: 0.3464 memory: 8322 grad_norm: 4.2221 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3921 loss: 1.3921 2022/07/31 23:28:42 - mmengine - INFO - Epoch(train) [34][220/940] lr: 1.0000e-02 eta: 11:29:19 time: 0.7152 data_time: 0.4756 memory: 8322 grad_norm: 4.3046 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5144 loss: 1.5144 2022/07/31 23:28:53 - mmengine - INFO - Epoch(train) [34][240/940] lr: 1.0000e-02 eta: 11:29:01 time: 0.5570 data_time: 0.2565 memory: 8322 grad_norm: 4.2434 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5842 loss: 1.5842 2022/07/31 23:29:07 - mmengine - INFO - Epoch(train) [34][260/940] lr: 1.0000e-02 eta: 11:28:50 time: 0.7008 data_time: 0.4228 memory: 8322 grad_norm: 4.1895 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3974 loss: 1.3974 2022/07/31 23:29:19 - mmengine - INFO - Epoch(train) [34][280/940] lr: 1.0000e-02 eta: 11:28:33 time: 0.5617 data_time: 0.3069 memory: 8322 grad_norm: 4.1648 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5818 loss: 1.5818 2022/07/31 23:29:34 - mmengine - INFO - Epoch(train) [34][300/940] lr: 1.0000e-02 eta: 11:28:24 time: 0.7570 data_time: 0.4894 memory: 8322 grad_norm: 4.1922 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3567 loss: 1.3567 2022/07/31 23:29:45 - mmengine - INFO - Epoch(train) [34][320/940] lr: 1.0000e-02 eta: 11:28:07 time: 0.5844 data_time: 0.3392 memory: 8322 grad_norm: 4.2467 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5194 loss: 1.5194 2022/07/31 23:29:59 - mmengine - INFO - Epoch(train) [34][340/940] lr: 1.0000e-02 eta: 11:27:55 time: 0.6731 data_time: 0.4087 memory: 8322 grad_norm: 4.1752 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4484 loss: 1.4484 2022/07/31 23:30:11 - mmengine - INFO - Epoch(train) [34][360/940] lr: 1.0000e-02 eta: 11:27:39 time: 0.5840 data_time: 0.3239 memory: 8322 grad_norm: 4.0690 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4311 loss: 1.4311 2022/07/31 23:30:25 - mmengine - INFO - Epoch(train) [34][380/940] lr: 1.0000e-02 eta: 11:27:28 time: 0.7177 data_time: 0.4193 memory: 8322 grad_norm: 4.2026 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4050 loss: 1.4050 2022/07/31 23:30:36 - mmengine - INFO - Epoch(train) [34][400/940] lr: 1.0000e-02 eta: 11:27:11 time: 0.5684 data_time: 0.3154 memory: 8322 grad_norm: 4.2384 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4144 loss: 1.4144 2022/07/31 23:30:51 - mmengine - INFO - Epoch(train) [34][420/940] lr: 1.0000e-02 eta: 11:27:00 time: 0.7160 data_time: 0.3155 memory: 8322 grad_norm: 4.1901 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5425 loss: 1.5425 2022/07/31 23:31:02 - mmengine - INFO - Epoch(train) [34][440/940] lr: 1.0000e-02 eta: 11:26:44 time: 0.5840 data_time: 0.2184 memory: 8322 grad_norm: 4.2826 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3855 loss: 1.3855 2022/07/31 23:31:16 - mmengine - INFO - Epoch(train) [34][460/940] lr: 1.0000e-02 eta: 11:26:32 time: 0.6763 data_time: 0.2602 memory: 8322 grad_norm: 4.2036 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5372 loss: 1.5372 2022/07/31 23:31:27 - mmengine - INFO - Epoch(train) [34][480/940] lr: 1.0000e-02 eta: 11:26:15 time: 0.5736 data_time: 0.2032 memory: 8322 grad_norm: 4.1731 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5210 loss: 1.5210 2022/07/31 23:31:41 - mmengine - INFO - Epoch(train) [34][500/940] lr: 1.0000e-02 eta: 11:26:03 time: 0.6803 data_time: 0.3054 memory: 8322 grad_norm: 4.1994 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5337 loss: 1.5337 2022/07/31 23:31:53 - mmengine - INFO - Epoch(train) [34][520/940] lr: 1.0000e-02 eta: 11:25:48 time: 0.6108 data_time: 0.1518 memory: 8322 grad_norm: 4.1877 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4315 loss: 1.4315 2022/07/31 23:32:07 - mmengine - INFO - Epoch(train) [34][540/940] lr: 1.0000e-02 eta: 11:25:36 time: 0.6967 data_time: 0.2448 memory: 8322 grad_norm: 4.1907 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5236 loss: 1.5236 2022/07/31 23:32:19 - mmengine - INFO - Epoch(train) [34][560/940] lr: 1.0000e-02 eta: 11:25:20 time: 0.5956 data_time: 0.2351 memory: 8322 grad_norm: 4.2464 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5509 loss: 1.5509 2022/07/31 23:32:33 - mmengine - INFO - Epoch(train) [34][580/940] lr: 1.0000e-02 eta: 11:25:09 time: 0.7133 data_time: 0.2133 memory: 8322 grad_norm: 4.2294 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.5038 loss: 1.5038 2022/07/31 23:32:45 - mmengine - INFO - Epoch(train) [34][600/940] lr: 1.0000e-02 eta: 11:24:53 time: 0.5936 data_time: 0.1884 memory: 8322 grad_norm: 4.2182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5326 loss: 1.5326 2022/07/31 23:33:01 - mmengine - INFO - Epoch(train) [34][620/940] lr: 1.0000e-02 eta: 11:24:45 time: 0.7734 data_time: 0.1225 memory: 8322 grad_norm: 4.2789 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4432 loss: 1.4432 2022/07/31 23:33:11 - mmengine - INFO - Epoch(train) [34][640/940] lr: 1.0000e-02 eta: 11:24:27 time: 0.5424 data_time: 0.0358 memory: 8322 grad_norm: 4.2638 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4775 loss: 1.4775 2022/07/31 23:33:24 - mmengine - INFO - Epoch(train) [34][660/940] lr: 1.0000e-02 eta: 11:24:14 time: 0.6505 data_time: 0.0374 memory: 8322 grad_norm: 4.1080 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4403 loss: 1.4403 2022/07/31 23:33:36 - mmengine - INFO - Epoch(train) [34][680/940] lr: 1.0000e-02 eta: 11:23:57 time: 0.5752 data_time: 0.1219 memory: 8322 grad_norm: 4.2574 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.4337 loss: 1.4337 2022/07/31 23:33:51 - mmengine - INFO - Epoch(train) [34][700/940] lr: 1.0000e-02 eta: 11:23:47 time: 0.7285 data_time: 0.1158 memory: 8322 grad_norm: 4.2469 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4787 loss: 1.4787 2022/07/31 23:34:02 - mmengine - INFO - Epoch(train) [34][720/940] lr: 1.0000e-02 eta: 11:23:30 time: 0.5717 data_time: 0.0795 memory: 8322 grad_norm: 4.3054 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4613 loss: 1.4613 2022/07/31 23:34:15 - mmengine - INFO - Epoch(train) [34][740/940] lr: 1.0000e-02 eta: 11:23:17 time: 0.6635 data_time: 0.0676 memory: 8322 grad_norm: 4.2127 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5735 loss: 1.5735 2022/07/31 23:34:27 - mmengine - INFO - Epoch(train) [34][760/940] lr: 1.0000e-02 eta: 11:23:01 time: 0.5916 data_time: 0.1601 memory: 8322 grad_norm: 4.2245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4959 loss: 1.4959 2022/07/31 23:34:41 - mmengine - INFO - Epoch(train) [34][780/940] lr: 1.0000e-02 eta: 11:22:50 time: 0.7104 data_time: 0.1924 memory: 8322 grad_norm: 4.1748 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4250 loss: 1.4250 2022/07/31 23:34:54 - mmengine - INFO - Epoch(train) [34][800/940] lr: 1.0000e-02 eta: 11:22:35 time: 0.6135 data_time: 0.0605 memory: 8322 grad_norm: 4.2093 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4235 loss: 1.4235 2022/07/31 23:35:07 - mmengine - INFO - Epoch(train) [34][820/940] lr: 1.0000e-02 eta: 11:22:22 time: 0.6620 data_time: 0.0856 memory: 8322 grad_norm: 4.2992 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.5000 loss: 1.5000 2022/07/31 23:35:19 - mmengine - INFO - Epoch(train) [34][840/940] lr: 1.0000e-02 eta: 11:22:06 time: 0.5851 data_time: 0.1502 memory: 8322 grad_norm: 4.2285 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.5275 loss: 1.5275 2022/07/31 23:35:32 - mmengine - INFO - Epoch(train) [34][860/940] lr: 1.0000e-02 eta: 11:21:54 time: 0.6835 data_time: 0.2177 memory: 8322 grad_norm: 4.2426 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4835 loss: 1.4835 2022/07/31 23:35:45 - mmengine - INFO - Epoch(train) [34][880/940] lr: 1.0000e-02 eta: 11:21:39 time: 0.6162 data_time: 0.0872 memory: 8322 grad_norm: 4.1459 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.4278 loss: 1.4278 2022/07/31 23:35:59 - mmengine - INFO - Epoch(train) [34][900/940] lr: 1.0000e-02 eta: 11:21:29 time: 0.7445 data_time: 0.1515 memory: 8322 grad_norm: 4.2613 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.6591 loss: 1.6591 2022/07/31 23:36:10 - mmengine - INFO - Epoch(train) [34][920/940] lr: 1.0000e-02 eta: 11:21:12 time: 0.5436 data_time: 0.1703 memory: 8322 grad_norm: 4.2975 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.5617 loss: 1.5617 2022/07/31 23:36:22 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:36:22 - mmengine - INFO - Epoch(train) [34][940/940] lr: 1.0000e-02 eta: 11:20:56 time: 0.5916 data_time: 0.2045 memory: 8322 grad_norm: 4.4926 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5315 loss: 1.5315 2022/07/31 23:36:36 - mmengine - INFO - Epoch(val) [34][20/78] eta: 0:00:38 time: 0.6694 data_time: 0.6052 memory: 1463 2022/07/31 23:36:44 - mmengine - INFO - Epoch(val) [34][40/78] eta: 0:00:16 time: 0.4238 data_time: 0.3609 memory: 1463 2022/07/31 23:36:57 - mmengine - INFO - Epoch(val) [34][60/78] eta: 0:00:12 time: 0.6698 data_time: 0.6087 memory: 1463 2022/07/31 23:37:09 - mmengine - INFO - Epoch(val) [34][78/78] acc/top1: 0.6511 acc/top5: 0.8618 acc/mean1: 0.6510 2022/07/31 23:37:25 - mmengine - INFO - Epoch(train) [35][20/940] lr: 1.0000e-02 eta: 11:20:49 time: 0.8162 data_time: 0.5225 memory: 8322 grad_norm: 4.1358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4045 loss: 1.4045 2022/07/31 23:37:36 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:37:36 - mmengine - INFO - Epoch(train) [35][40/940] lr: 1.0000e-02 eta: 11:20:32 time: 0.5735 data_time: 0.2445 memory: 8322 grad_norm: 4.1824 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4409 loss: 1.4409 2022/07/31 23:37:51 - mmengine - INFO - Epoch(train) [35][60/940] lr: 1.0000e-02 eta: 11:20:21 time: 0.7103 data_time: 0.3152 memory: 8322 grad_norm: 4.1988 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.4037 loss: 1.4037 2022/07/31 23:38:02 - mmengine - INFO - Epoch(train) [35][80/940] lr: 1.0000e-02 eta: 11:20:05 time: 0.5858 data_time: 0.2557 memory: 8322 grad_norm: 4.1952 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4116 loss: 1.4116 2022/07/31 23:38:16 - mmengine - INFO - Epoch(train) [35][100/940] lr: 1.0000e-02 eta: 11:19:54 time: 0.7046 data_time: 0.2679 memory: 8322 grad_norm: 4.1727 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4029 loss: 1.4029 2022/07/31 23:38:27 - mmengine - INFO - Epoch(train) [35][120/940] lr: 1.0000e-02 eta: 11:19:36 time: 0.5435 data_time: 0.2331 memory: 8322 grad_norm: 4.2317 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3880 loss: 1.3880 2022/07/31 23:38:41 - mmengine - INFO - Epoch(train) [35][140/940] lr: 1.0000e-02 eta: 11:19:25 time: 0.7037 data_time: 0.3390 memory: 8322 grad_norm: 4.1022 top1_acc: 0.5000 top5_acc: 0.9062 loss_cls: 1.4574 loss: 1.4574 2022/07/31 23:38:53 - mmengine - INFO - Epoch(train) [35][160/940] lr: 1.0000e-02 eta: 11:19:08 time: 0.5722 data_time: 0.2060 memory: 8322 grad_norm: 4.1929 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4370 loss: 1.4370 2022/07/31 23:39:07 - mmengine - INFO - Epoch(train) [35][180/940] lr: 1.0000e-02 eta: 11:18:58 time: 0.7258 data_time: 0.2151 memory: 8322 grad_norm: 4.2630 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4852 loss: 1.4852 2022/07/31 23:39:19 - mmengine - INFO - Epoch(train) [35][200/940] lr: 1.0000e-02 eta: 11:18:41 time: 0.5615 data_time: 0.0709 memory: 8322 grad_norm: 4.2328 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3651 loss: 1.3651 2022/07/31 23:39:33 - mmengine - INFO - Epoch(train) [35][220/940] lr: 1.0000e-02 eta: 11:18:31 time: 0.7394 data_time: 0.1537 memory: 8322 grad_norm: 4.1773 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5184 loss: 1.5184 2022/07/31 23:39:45 - mmengine - INFO - Epoch(train) [35][240/940] lr: 1.0000e-02 eta: 11:18:14 time: 0.5689 data_time: 0.1160 memory: 8322 grad_norm: 4.1927 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3896 loss: 1.3896 2022/07/31 23:39:59 - mmengine - INFO - Epoch(train) [35][260/940] lr: 1.0000e-02 eta: 11:18:02 time: 0.6992 data_time: 0.1244 memory: 8322 grad_norm: 4.2321 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4980 loss: 1.4980 2022/07/31 23:40:10 - mmengine - INFO - Epoch(train) [35][280/940] lr: 1.0000e-02 eta: 11:17:45 time: 0.5504 data_time: 0.0923 memory: 8322 grad_norm: 4.2000 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4915 loss: 1.4915 2022/07/31 23:40:25 - mmengine - INFO - Epoch(train) [35][300/940] lr: 1.0000e-02 eta: 11:17:35 time: 0.7449 data_time: 0.2052 memory: 8322 grad_norm: 4.2888 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4025 loss: 1.4025 2022/07/31 23:40:36 - mmengine - INFO - Epoch(train) [35][320/940] lr: 1.0000e-02 eta: 11:17:18 time: 0.5612 data_time: 0.1665 memory: 8322 grad_norm: 4.2341 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4174 loss: 1.4174 2022/07/31 23:40:50 - mmengine - INFO - Epoch(train) [35][340/940] lr: 1.0000e-02 eta: 11:17:07 time: 0.6951 data_time: 0.1696 memory: 8322 grad_norm: 4.2413 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.4357 loss: 1.4357 2022/07/31 23:41:01 - mmengine - INFO - Epoch(train) [35][360/940] lr: 1.0000e-02 eta: 11:16:50 time: 0.5594 data_time: 0.1157 memory: 8322 grad_norm: 4.1905 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4965 loss: 1.4965 2022/07/31 23:41:16 - mmengine - INFO - Epoch(train) [35][380/940] lr: 1.0000e-02 eta: 11:16:39 time: 0.7237 data_time: 0.2624 memory: 8322 grad_norm: 4.2490 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4586 loss: 1.4586 2022/07/31 23:41:27 - mmengine - INFO - Epoch(train) [35][400/940] lr: 1.0000e-02 eta: 11:16:22 time: 0.5593 data_time: 0.0469 memory: 8322 grad_norm: 4.2809 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.4848 loss: 1.4848 2022/07/31 23:41:43 - mmengine - INFO - Epoch(train) [35][420/940] lr: 1.0000e-02 eta: 11:16:14 time: 0.8023 data_time: 0.0573 memory: 8322 grad_norm: 4.2060 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2493 loss: 1.2493 2022/07/31 23:41:53 - mmengine - INFO - Epoch(train) [35][440/940] lr: 1.0000e-02 eta: 11:15:55 time: 0.4961 data_time: 0.0243 memory: 8322 grad_norm: 4.2691 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5328 loss: 1.5328 2022/07/31 23:42:07 - mmengine - INFO - Epoch(train) [35][460/940] lr: 1.0000e-02 eta: 11:15:44 time: 0.7045 data_time: 0.0723 memory: 8322 grad_norm: 4.2410 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3630 loss: 1.3630 2022/07/31 23:42:18 - mmengine - INFO - Epoch(train) [35][480/940] lr: 1.0000e-02 eta: 11:15:27 time: 0.5694 data_time: 0.0288 memory: 8322 grad_norm: 4.2505 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4050 loss: 1.4050 2022/07/31 23:42:33 - mmengine - INFO - Epoch(train) [35][500/940] lr: 1.0000e-02 eta: 11:15:17 time: 0.7444 data_time: 0.0336 memory: 8322 grad_norm: 4.2257 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4537 loss: 1.4537 2022/07/31 23:42:44 - mmengine - INFO - Epoch(train) [35][520/940] lr: 1.0000e-02 eta: 11:15:00 time: 0.5587 data_time: 0.0305 memory: 8322 grad_norm: 4.2542 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4176 loss: 1.4176 2022/07/31 23:43:00 - mmengine - INFO - Epoch(train) [35][540/940] lr: 1.0000e-02 eta: 11:14:52 time: 0.7872 data_time: 0.0372 memory: 8322 grad_norm: 4.2350 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4730 loss: 1.4730 2022/07/31 23:43:11 - mmengine - INFO - Epoch(train) [35][560/940] lr: 1.0000e-02 eta: 11:14:34 time: 0.5412 data_time: 0.0336 memory: 8322 grad_norm: 4.2730 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5464 loss: 1.5464 2022/07/31 23:43:26 - mmengine - INFO - Epoch(train) [35][580/940] lr: 1.0000e-02 eta: 11:14:24 time: 0.7350 data_time: 0.0500 memory: 8322 grad_norm: 4.3285 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5169 loss: 1.5169 2022/07/31 23:43:37 - mmengine - INFO - Epoch(train) [35][600/940] lr: 1.0000e-02 eta: 11:14:08 time: 0.5930 data_time: 0.0306 memory: 8322 grad_norm: 4.2382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4868 loss: 1.4868 2022/07/31 23:43:51 - mmengine - INFO - Epoch(train) [35][620/940] lr: 1.0000e-02 eta: 11:13:57 time: 0.7000 data_time: 0.0431 memory: 8322 grad_norm: 4.3353 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5470 loss: 1.5470 2022/07/31 23:44:03 - mmengine - INFO - Epoch(train) [35][640/940] lr: 1.0000e-02 eta: 11:13:41 time: 0.5824 data_time: 0.0314 memory: 8322 grad_norm: 4.3430 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5688 loss: 1.5688 2022/07/31 23:44:17 - mmengine - INFO - Epoch(train) [35][660/940] lr: 1.0000e-02 eta: 11:13:28 time: 0.6759 data_time: 0.0360 memory: 8322 grad_norm: 4.2522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4318 loss: 1.4318 2022/07/31 23:44:28 - mmengine - INFO - Epoch(train) [35][680/940] lr: 1.0000e-02 eta: 11:13:13 time: 0.5941 data_time: 0.0405 memory: 8322 grad_norm: 4.3135 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.5282 loss: 1.5282 2022/07/31 23:44:42 - mmengine - INFO - Epoch(train) [35][700/940] lr: 1.0000e-02 eta: 11:13:00 time: 0.6808 data_time: 0.0403 memory: 8322 grad_norm: 4.1988 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5737 loss: 1.5737 2022/07/31 23:44:52 - mmengine - INFO - Epoch(train) [35][720/940] lr: 1.0000e-02 eta: 11:12:41 time: 0.5009 data_time: 0.0316 memory: 8322 grad_norm: 4.3778 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.5363 loss: 1.5363 2022/07/31 23:45:07 - mmengine - INFO - Epoch(train) [35][740/940] lr: 1.0000e-02 eta: 11:12:31 time: 0.7274 data_time: 0.0370 memory: 8322 grad_norm: 4.2804 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5785 loss: 1.5785 2022/07/31 23:45:18 - mmengine - INFO - Epoch(train) [35][760/940] lr: 1.0000e-02 eta: 11:12:15 time: 0.5888 data_time: 0.0290 memory: 8322 grad_norm: 4.3122 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5420 loss: 1.5420 2022/07/31 23:45:33 - mmengine - INFO - Epoch(train) [35][780/940] lr: 1.0000e-02 eta: 11:12:04 time: 0.7280 data_time: 0.0498 memory: 8322 grad_norm: 4.2015 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4915 loss: 1.4915 2022/07/31 23:45:46 - mmengine - INFO - Epoch(train) [35][800/940] lr: 1.0000e-02 eta: 11:11:50 time: 0.6295 data_time: 0.0285 memory: 8322 grad_norm: 4.2245 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.5183 loss: 1.5183 2022/07/31 23:46:00 - mmengine - INFO - Epoch(train) [35][820/940] lr: 1.0000e-02 eta: 11:11:40 time: 0.7356 data_time: 0.0373 memory: 8322 grad_norm: 4.3029 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6285 loss: 1.6285 2022/07/31 23:46:11 - mmengine - INFO - Epoch(train) [35][840/940] lr: 1.0000e-02 eta: 11:11:23 time: 0.5488 data_time: 0.0341 memory: 8322 grad_norm: 4.2334 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5294 loss: 1.5294 2022/07/31 23:46:24 - mmengine - INFO - Epoch(train) [35][860/940] lr: 1.0000e-02 eta: 11:11:09 time: 0.6571 data_time: 0.0350 memory: 8322 grad_norm: 4.2143 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4452 loss: 1.4452 2022/07/31 23:46:36 - mmengine - INFO - Epoch(train) [35][880/940] lr: 1.0000e-02 eta: 11:10:53 time: 0.5756 data_time: 0.0329 memory: 8322 grad_norm: 4.2490 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.4688 loss: 1.4688 2022/07/31 23:46:51 - mmengine - INFO - Epoch(train) [35][900/940] lr: 1.0000e-02 eta: 11:10:43 time: 0.7327 data_time: 0.0350 memory: 8322 grad_norm: 4.2765 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5649 loss: 1.5649 2022/07/31 23:47:02 - mmengine - INFO - Epoch(train) [35][920/940] lr: 1.0000e-02 eta: 11:10:26 time: 0.5703 data_time: 0.0392 memory: 8322 grad_norm: 4.2039 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4117 loss: 1.4117 2022/07/31 23:47:14 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:47:14 - mmengine - INFO - Epoch(train) [35][940/940] lr: 1.0000e-02 eta: 11:10:11 time: 0.6070 data_time: 0.0213 memory: 8322 grad_norm: 4.3734 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5743 loss: 1.5743 2022/07/31 23:47:28 - mmengine - INFO - Epoch(val) [35][20/78] eta: 0:00:39 time: 0.6893 data_time: 0.6250 memory: 1463 2022/07/31 23:47:36 - mmengine - INFO - Epoch(val) [35][40/78] eta: 0:00:16 time: 0.4212 data_time: 0.3493 memory: 1463 2022/07/31 23:47:50 - mmengine - INFO - Epoch(val) [35][60/78] eta: 0:00:11 time: 0.6556 data_time: 0.5812 memory: 1463 2022/07/31 23:48:00 - mmengine - INFO - Epoch(val) [35][78/78] acc/top1: 0.6507 acc/top5: 0.8626 acc/mean1: 0.6506 2022/07/31 23:48:17 - mmengine - INFO - Epoch(train) [36][20/940] lr: 1.0000e-02 eta: 11:10:06 time: 0.8669 data_time: 0.5078 memory: 8322 grad_norm: 4.2648 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3984 loss: 1.3984 2022/07/31 23:48:29 - mmengine - INFO - Epoch(train) [36][40/940] lr: 1.0000e-02 eta: 11:09:49 time: 0.5721 data_time: 0.1948 memory: 8322 grad_norm: 4.1773 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3955 loss: 1.3955 2022/07/31 23:48:43 - mmengine - INFO - Epoch(train) [36][60/940] lr: 1.0000e-02 eta: 11:09:38 time: 0.7137 data_time: 0.2032 memory: 8322 grad_norm: 4.2828 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.4413 loss: 1.4413 2022/07/31 23:48:54 - mmengine - INFO - Epoch(train) [36][80/940] lr: 1.0000e-02 eta: 11:09:21 time: 0.5571 data_time: 0.1026 memory: 8322 grad_norm: 4.3215 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4492 loss: 1.4492 2022/07/31 23:49:08 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:49:08 - mmengine - INFO - Epoch(train) [36][100/940] lr: 1.0000e-02 eta: 11:09:10 time: 0.6967 data_time: 0.1167 memory: 8322 grad_norm: 4.1269 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4280 loss: 1.4280 2022/07/31 23:49:21 - mmengine - INFO - Epoch(train) [36][120/940] lr: 1.0000e-02 eta: 11:08:56 time: 0.6328 data_time: 0.0955 memory: 8322 grad_norm: 4.2148 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4293 loss: 1.4293 2022/07/31 23:49:34 - mmengine - INFO - Epoch(train) [36][140/940] lr: 1.0000e-02 eta: 11:08:43 time: 0.6770 data_time: 0.1377 memory: 8322 grad_norm: 4.1514 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4226 loss: 1.4226 2022/07/31 23:49:45 - mmengine - INFO - Epoch(train) [36][160/940] lr: 1.0000e-02 eta: 11:08:25 time: 0.5240 data_time: 0.0476 memory: 8322 grad_norm: 4.1644 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5158 loss: 1.5158 2022/07/31 23:50:00 - mmengine - INFO - Epoch(train) [36][180/940] lr: 1.0000e-02 eta: 11:08:16 time: 0.7673 data_time: 0.0444 memory: 8322 grad_norm: 4.2398 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.4711 loss: 1.4711 2022/07/31 23:50:11 - mmengine - INFO - Epoch(train) [36][200/940] lr: 1.0000e-02 eta: 11:07:59 time: 0.5431 data_time: 0.0296 memory: 8322 grad_norm: 4.2918 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4607 loss: 1.4607 2022/07/31 23:50:25 - mmengine - INFO - Epoch(train) [36][220/940] lr: 1.0000e-02 eta: 11:07:47 time: 0.7113 data_time: 0.0380 memory: 8322 grad_norm: 4.2666 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.3709 loss: 1.3709 2022/07/31 23:50:36 - mmengine - INFO - Epoch(train) [36][240/940] lr: 1.0000e-02 eta: 11:07:30 time: 0.5369 data_time: 0.0283 memory: 8322 grad_norm: 4.2951 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4212 loss: 1.4212 2022/07/31 23:50:51 - mmengine - INFO - Epoch(train) [36][260/940] lr: 1.0000e-02 eta: 11:07:20 time: 0.7605 data_time: 0.0322 memory: 8322 grad_norm: 4.1351 top1_acc: 0.5625 top5_acc: 0.9688 loss_cls: 1.5433 loss: 1.5433 2022/07/31 23:51:03 - mmengine - INFO - Epoch(train) [36][280/940] lr: 1.0000e-02 eta: 11:07:04 time: 0.5802 data_time: 0.0372 memory: 8322 grad_norm: 4.2350 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5715 loss: 1.5715 2022/07/31 23:51:18 - mmengine - INFO - Epoch(train) [36][300/940] lr: 1.0000e-02 eta: 11:06:54 time: 0.7354 data_time: 0.0688 memory: 8322 grad_norm: 4.2643 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4171 loss: 1.4171 2022/07/31 23:51:29 - mmengine - INFO - Epoch(train) [36][320/940] lr: 1.0000e-02 eta: 11:06:37 time: 0.5641 data_time: 0.0681 memory: 8322 grad_norm: 4.3183 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.4961 loss: 1.4961 2022/07/31 23:51:42 - mmengine - INFO - Epoch(train) [36][340/940] lr: 1.0000e-02 eta: 11:06:25 time: 0.6725 data_time: 0.0343 memory: 8322 grad_norm: 4.1790 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4346 loss: 1.4346 2022/07/31 23:51:54 - mmengine - INFO - Epoch(train) [36][360/940] lr: 1.0000e-02 eta: 11:06:08 time: 0.5579 data_time: 0.0444 memory: 8322 grad_norm: 4.1270 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2722 loss: 1.2722 2022/07/31 23:52:09 - mmengine - INFO - Epoch(train) [36][380/940] lr: 1.0000e-02 eta: 11:05:58 time: 0.7398 data_time: 0.0368 memory: 8322 grad_norm: 4.2297 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5157 loss: 1.5157 2022/07/31 23:52:20 - mmengine - INFO - Epoch(train) [36][400/940] lr: 1.0000e-02 eta: 11:05:42 time: 0.5823 data_time: 0.0395 memory: 8322 grad_norm: 4.2269 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3758 loss: 1.3758 2022/07/31 23:52:34 - mmengine - INFO - Epoch(train) [36][420/940] lr: 1.0000e-02 eta: 11:05:31 time: 0.7118 data_time: 0.0399 memory: 8322 grad_norm: 4.3230 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4965 loss: 1.4965 2022/07/31 23:52:45 - mmengine - INFO - Epoch(train) [36][440/940] lr: 1.0000e-02 eta: 11:05:14 time: 0.5523 data_time: 0.0313 memory: 8322 grad_norm: 4.2667 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4459 loss: 1.4459 2022/07/31 23:53:01 - mmengine - INFO - Epoch(train) [36][460/940] lr: 1.0000e-02 eta: 11:05:05 time: 0.7862 data_time: 0.0470 memory: 8322 grad_norm: 4.3579 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5489 loss: 1.5489 2022/07/31 23:53:13 - mmengine - INFO - Epoch(train) [36][480/940] lr: 1.0000e-02 eta: 11:04:49 time: 0.5781 data_time: 0.0298 memory: 8322 grad_norm: 4.2215 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.4852 loss: 1.4852 2022/07/31 23:53:27 - mmengine - INFO - Epoch(train) [36][500/940] lr: 1.0000e-02 eta: 11:04:38 time: 0.7205 data_time: 0.0310 memory: 8322 grad_norm: 4.3584 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4233 loss: 1.4233 2022/07/31 23:53:37 - mmengine - INFO - Epoch(train) [36][520/940] lr: 1.0000e-02 eta: 11:04:19 time: 0.5056 data_time: 0.0365 memory: 8322 grad_norm: 4.3064 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4013 loss: 1.4013 2022/07/31 23:53:51 - mmengine - INFO - Epoch(train) [36][540/940] lr: 1.0000e-02 eta: 11:04:08 time: 0.7147 data_time: 0.0404 memory: 8322 grad_norm: 4.3222 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4386 loss: 1.4386 2022/07/31 23:54:03 - mmengine - INFO - Epoch(train) [36][560/940] lr: 1.0000e-02 eta: 11:03:52 time: 0.5691 data_time: 0.0360 memory: 8322 grad_norm: 4.2499 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4465 loss: 1.4465 2022/07/31 23:54:17 - mmengine - INFO - Epoch(train) [36][580/940] lr: 1.0000e-02 eta: 11:03:41 time: 0.7164 data_time: 0.0400 memory: 8322 grad_norm: 4.3307 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5211 loss: 1.5211 2022/07/31 23:54:27 - mmengine - INFO - Epoch(train) [36][600/940] lr: 1.0000e-02 eta: 11:03:22 time: 0.5119 data_time: 0.0366 memory: 8322 grad_norm: 4.2589 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4655 loss: 1.4655 2022/07/31 23:54:42 - mmengine - INFO - Epoch(train) [36][620/940] lr: 1.0000e-02 eta: 11:03:12 time: 0.7463 data_time: 0.0385 memory: 8322 grad_norm: 4.2854 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5143 loss: 1.5143 2022/07/31 23:54:53 - mmengine - INFO - Epoch(train) [36][640/940] lr: 1.0000e-02 eta: 11:02:55 time: 0.5440 data_time: 0.0341 memory: 8322 grad_norm: 4.3458 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4650 loss: 1.4650 2022/07/31 23:55:07 - mmengine - INFO - Epoch(train) [36][660/940] lr: 1.0000e-02 eta: 11:02:43 time: 0.6966 data_time: 0.0388 memory: 8322 grad_norm: 4.2524 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5221 loss: 1.5221 2022/07/31 23:55:19 - mmengine - INFO - Epoch(train) [36][680/940] lr: 1.0000e-02 eta: 11:02:29 time: 0.6181 data_time: 0.0372 memory: 8322 grad_norm: 4.2083 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3958 loss: 1.3958 2022/07/31 23:55:33 - mmengine - INFO - Epoch(train) [36][700/940] lr: 1.0000e-02 eta: 11:02:16 time: 0.6589 data_time: 0.0368 memory: 8322 grad_norm: 4.2865 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4233 loss: 1.4233 2022/07/31 23:55:46 - mmengine - INFO - Epoch(train) [36][720/940] lr: 1.0000e-02 eta: 11:02:03 time: 0.6741 data_time: 0.0409 memory: 8322 grad_norm: 4.1689 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4190 loss: 1.4190 2022/07/31 23:55:59 - mmengine - INFO - Epoch(train) [36][740/940] lr: 1.0000e-02 eta: 11:01:49 time: 0.6376 data_time: 0.0277 memory: 8322 grad_norm: 4.2532 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4375 loss: 1.4375 2022/07/31 23:56:12 - mmengine - INFO - Epoch(train) [36][760/940] lr: 1.0000e-02 eta: 11:01:36 time: 0.6535 data_time: 0.0346 memory: 8322 grad_norm: 4.2207 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4372 loss: 1.4372 2022/07/31 23:56:24 - mmengine - INFO - Epoch(train) [36][780/940] lr: 1.0000e-02 eta: 11:01:21 time: 0.5982 data_time: 0.0367 memory: 8322 grad_norm: 4.1915 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4741 loss: 1.4741 2022/07/31 23:56:37 - mmengine - INFO - Epoch(train) [36][800/940] lr: 1.0000e-02 eta: 11:01:07 time: 0.6554 data_time: 0.0333 memory: 8322 grad_norm: 4.2275 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4655 loss: 1.4655 2022/07/31 23:56:50 - mmengine - INFO - Epoch(train) [36][820/940] lr: 1.0000e-02 eta: 11:00:54 time: 0.6522 data_time: 0.0365 memory: 8322 grad_norm: 4.3264 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7178 loss: 1.7178 2022/07/31 23:57:05 - mmengine - INFO - Epoch(train) [36][840/940] lr: 1.0000e-02 eta: 11:00:43 time: 0.7234 data_time: 0.0407 memory: 8322 grad_norm: 4.3111 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4772 loss: 1.4772 2022/07/31 23:57:16 - mmengine - INFO - Epoch(train) [36][860/940] lr: 1.0000e-02 eta: 11:00:26 time: 0.5509 data_time: 0.0407 memory: 8322 grad_norm: 4.2472 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5254 loss: 1.5254 2022/07/31 23:57:28 - mmengine - INFO - Epoch(train) [36][880/940] lr: 1.0000e-02 eta: 11:00:12 time: 0.6206 data_time: 0.0377 memory: 8322 grad_norm: 4.1752 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4323 loss: 1.4323 2022/07/31 23:57:42 - mmengine - INFO - Epoch(train) [36][900/940] lr: 1.0000e-02 eta: 11:00:00 time: 0.7044 data_time: 0.0486 memory: 8322 grad_norm: 4.2031 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4088 loss: 1.4088 2022/07/31 23:57:54 - mmengine - INFO - Epoch(train) [36][920/940] lr: 1.0000e-02 eta: 10:59:45 time: 0.6063 data_time: 0.1035 memory: 8322 grad_norm: 4.3456 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.6126 loss: 1.6126 2022/07/31 23:58:05 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/07/31 23:58:05 - mmengine - INFO - Epoch(train) [36][940/940] lr: 1.0000e-02 eta: 10:59:27 time: 0.5174 data_time: 0.0458 memory: 8322 grad_norm: 4.3987 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.4573 loss: 1.4573 2022/07/31 23:58:05 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/07/31 23:58:19 - mmengine - INFO - Epoch(val) [36][20/78] eta: 0:00:39 time: 0.6811 data_time: 0.6190 memory: 1463 2022/07/31 23:58:28 - mmengine - INFO - Epoch(val) [36][40/78] eta: 0:00:16 time: 0.4340 data_time: 0.3711 memory: 1463 2022/07/31 23:58:41 - mmengine - INFO - Epoch(val) [36][60/78] eta: 0:00:11 time: 0.6491 data_time: 0.5802 memory: 1463 2022/07/31 23:58:51 - mmengine - INFO - Epoch(val) [36][78/78] acc/top1: 0.6494 acc/top5: 0.8618 acc/mean1: 0.6493 2022/07/31 23:59:08 - mmengine - INFO - Epoch(train) [37][20/940] lr: 1.0000e-02 eta: 10:59:20 time: 0.8383 data_time: 0.5501 memory: 8322 grad_norm: 4.2122 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.3556 loss: 1.3556 2022/07/31 23:59:19 - mmengine - INFO - Epoch(train) [37][40/940] lr: 1.0000e-02 eta: 10:59:04 time: 0.5781 data_time: 0.2176 memory: 8322 grad_norm: 4.1905 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5281 loss: 1.5281 2022/07/31 23:59:34 - mmengine - INFO - Epoch(train) [37][60/940] lr: 1.0000e-02 eta: 10:58:54 time: 0.7202 data_time: 0.3571 memory: 8322 grad_norm: 4.2189 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4585 loss: 1.4585 2022/07/31 23:59:45 - mmengine - INFO - Epoch(train) [37][80/940] lr: 1.0000e-02 eta: 10:58:37 time: 0.5511 data_time: 0.2899 memory: 8322 grad_norm: 4.2801 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3529 loss: 1.3529 2022/07/31 23:59:59 - mmengine - INFO - Epoch(train) [37][100/940] lr: 1.0000e-02 eta: 10:58:25 time: 0.7115 data_time: 0.4200 memory: 8322 grad_norm: 4.2381 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4646 loss: 1.4646 2022/08/01 00:00:13 - mmengine - INFO - Epoch(train) [37][120/940] lr: 1.0000e-02 eta: 10:58:13 time: 0.6884 data_time: 0.4384 memory: 8322 grad_norm: 4.2951 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3689 loss: 1.3689 2022/08/01 00:00:27 - mmengine - INFO - Epoch(train) [37][140/940] lr: 1.0000e-02 eta: 10:58:02 time: 0.7112 data_time: 0.4099 memory: 8322 grad_norm: 4.1801 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5042 loss: 1.5042 2022/08/01 00:00:38 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:00:38 - mmengine - INFO - Epoch(train) [37][160/940] lr: 1.0000e-02 eta: 10:57:46 time: 0.5732 data_time: 0.2900 memory: 8322 grad_norm: 4.2050 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3622 loss: 1.3622 2022/08/01 00:00:53 - mmengine - INFO - Epoch(train) [37][180/940] lr: 1.0000e-02 eta: 10:57:35 time: 0.7202 data_time: 0.3883 memory: 8322 grad_norm: 4.1648 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3026 loss: 1.3026 2022/08/01 00:01:04 - mmengine - INFO - Epoch(train) [37][200/940] lr: 1.0000e-02 eta: 10:57:18 time: 0.5472 data_time: 0.2679 memory: 8322 grad_norm: 4.3589 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5332 loss: 1.5332 2022/08/01 00:01:19 - mmengine - INFO - Epoch(train) [37][220/940] lr: 1.0000e-02 eta: 10:57:08 time: 0.7479 data_time: 0.3157 memory: 8322 grad_norm: 4.2989 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5508 loss: 1.5508 2022/08/01 00:01:30 - mmengine - INFO - Epoch(train) [37][240/940] lr: 1.0000e-02 eta: 10:56:52 time: 0.5783 data_time: 0.1392 memory: 8322 grad_norm: 4.2066 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3341 loss: 1.3341 2022/08/01 00:01:45 - mmengine - INFO - Epoch(train) [37][260/940] lr: 1.0000e-02 eta: 10:56:41 time: 0.7077 data_time: 0.2369 memory: 8322 grad_norm: 4.2933 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.4339 loss: 1.4339 2022/08/01 00:01:56 - mmengine - INFO - Epoch(train) [37][280/940] lr: 1.0000e-02 eta: 10:56:24 time: 0.5766 data_time: 0.2354 memory: 8322 grad_norm: 4.3045 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.4331 loss: 1.4331 2022/08/01 00:02:11 - mmengine - INFO - Epoch(train) [37][300/940] lr: 1.0000e-02 eta: 10:56:14 time: 0.7296 data_time: 0.3631 memory: 8322 grad_norm: 4.1714 top1_acc: 0.5000 top5_acc: 0.9062 loss_cls: 1.5774 loss: 1.5774 2022/08/01 00:02:22 - mmengine - INFO - Epoch(train) [37][320/940] lr: 1.0000e-02 eta: 10:55:58 time: 0.5823 data_time: 0.3358 memory: 8322 grad_norm: 4.2337 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4636 loss: 1.4636 2022/08/01 00:02:37 - mmengine - INFO - Epoch(train) [37][340/940] lr: 1.0000e-02 eta: 10:55:48 time: 0.7481 data_time: 0.4757 memory: 8322 grad_norm: 4.2674 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6144 loss: 1.6144 2022/08/01 00:02:48 - mmengine - INFO - Epoch(train) [37][360/940] lr: 1.0000e-02 eta: 10:55:31 time: 0.5532 data_time: 0.3115 memory: 8322 grad_norm: 4.1649 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.4191 loss: 1.4191 2022/08/01 00:03:03 - mmengine - INFO - Epoch(train) [37][380/940] lr: 1.0000e-02 eta: 10:55:21 time: 0.7418 data_time: 0.4585 memory: 8322 grad_norm: 4.2470 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3531 loss: 1.3531 2022/08/01 00:03:15 - mmengine - INFO - Epoch(train) [37][400/940] lr: 1.0000e-02 eta: 10:55:06 time: 0.5913 data_time: 0.2352 memory: 8322 grad_norm: 4.2714 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4776 loss: 1.4776 2022/08/01 00:03:29 - mmengine - INFO - Epoch(train) [37][420/940] lr: 1.0000e-02 eta: 10:54:55 time: 0.7223 data_time: 0.1619 memory: 8322 grad_norm: 4.1931 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4086 loss: 1.4086 2022/08/01 00:03:41 - mmengine - INFO - Epoch(train) [37][440/940] lr: 1.0000e-02 eta: 10:54:39 time: 0.5736 data_time: 0.0884 memory: 8322 grad_norm: 4.1802 top1_acc: 0.7188 top5_acc: 0.7500 loss_cls: 1.3624 loss: 1.3624 2022/08/01 00:03:55 - mmengine - INFO - Epoch(train) [37][460/940] lr: 1.0000e-02 eta: 10:54:27 time: 0.7102 data_time: 0.0784 memory: 8322 grad_norm: 4.3032 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5317 loss: 1.5317 2022/08/01 00:04:06 - mmengine - INFO - Epoch(train) [37][480/940] lr: 1.0000e-02 eta: 10:54:10 time: 0.5446 data_time: 0.0589 memory: 8322 grad_norm: 4.2870 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4693 loss: 1.4693 2022/08/01 00:04:19 - mmengine - INFO - Epoch(train) [37][500/940] lr: 1.0000e-02 eta: 10:53:57 time: 0.6532 data_time: 0.2552 memory: 8322 grad_norm: 4.1416 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4621 loss: 1.4621 2022/08/01 00:04:30 - mmengine - INFO - Epoch(train) [37][520/940] lr: 1.0000e-02 eta: 10:53:41 time: 0.5686 data_time: 0.2810 memory: 8322 grad_norm: 4.2183 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4115 loss: 1.4115 2022/08/01 00:04:45 - mmengine - INFO - Epoch(train) [37][540/940] lr: 1.0000e-02 eta: 10:53:30 time: 0.7226 data_time: 0.4440 memory: 8322 grad_norm: 4.2705 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5496 loss: 1.5496 2022/08/01 00:04:56 - mmengine - INFO - Epoch(train) [37][560/940] lr: 1.0000e-02 eta: 10:53:12 time: 0.5376 data_time: 0.2521 memory: 8322 grad_norm: 4.3206 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6425 loss: 1.6425 2022/08/01 00:05:10 - mmengine - INFO - Epoch(train) [37][580/940] lr: 1.0000e-02 eta: 10:53:00 time: 0.6926 data_time: 0.3978 memory: 8322 grad_norm: 4.2607 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5282 loss: 1.5282 2022/08/01 00:05:22 - mmengine - INFO - Epoch(train) [37][600/940] lr: 1.0000e-02 eta: 10:52:46 time: 0.6263 data_time: 0.1348 memory: 8322 grad_norm: 4.1779 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4290 loss: 1.4290 2022/08/01 00:05:37 - mmengine - INFO - Epoch(train) [37][620/940] lr: 1.0000e-02 eta: 10:52:36 time: 0.7285 data_time: 0.2211 memory: 8322 grad_norm: 4.3515 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3720 loss: 1.3720 2022/08/01 00:05:49 - mmengine - INFO - Epoch(train) [37][640/940] lr: 1.0000e-02 eta: 10:52:20 time: 0.5944 data_time: 0.0997 memory: 8322 grad_norm: 4.2209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4601 loss: 1.4601 2022/08/01 00:06:04 - mmengine - INFO - Epoch(train) [37][660/940] lr: 1.0000e-02 eta: 10:52:11 time: 0.7750 data_time: 0.1124 memory: 8322 grad_norm: 4.2167 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5063 loss: 1.5063 2022/08/01 00:06:15 - mmengine - INFO - Epoch(train) [37][680/940] lr: 1.0000e-02 eta: 10:51:54 time: 0.5351 data_time: 0.0322 memory: 8322 grad_norm: 4.3323 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4887 loss: 1.4887 2022/08/01 00:06:28 - mmengine - INFO - Epoch(train) [37][700/940] lr: 1.0000e-02 eta: 10:51:41 time: 0.6678 data_time: 0.0444 memory: 8322 grad_norm: 4.3441 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6186 loss: 1.6186 2022/08/01 00:06:39 - mmengine - INFO - Epoch(train) [37][720/940] lr: 1.0000e-02 eta: 10:51:24 time: 0.5509 data_time: 0.0454 memory: 8322 grad_norm: 4.2345 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5183 loss: 1.5183 2022/08/01 00:06:54 - mmengine - INFO - Epoch(train) [37][740/940] lr: 1.0000e-02 eta: 10:51:13 time: 0.7206 data_time: 0.1192 memory: 8322 grad_norm: 4.2649 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3342 loss: 1.3342 2022/08/01 00:07:05 - mmengine - INFO - Epoch(train) [37][760/940] lr: 1.0000e-02 eta: 10:50:58 time: 0.5949 data_time: 0.0708 memory: 8322 grad_norm: 4.3458 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5473 loss: 1.5473 2022/08/01 00:07:20 - mmengine - INFO - Epoch(train) [37][780/940] lr: 1.0000e-02 eta: 10:50:46 time: 0.7081 data_time: 0.0902 memory: 8322 grad_norm: 4.2374 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3491 loss: 1.3491 2022/08/01 00:07:32 - mmengine - INFO - Epoch(train) [37][800/940] lr: 1.0000e-02 eta: 10:50:32 time: 0.6272 data_time: 0.1117 memory: 8322 grad_norm: 4.2977 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5245 loss: 1.5245 2022/08/01 00:07:47 - mmengine - INFO - Epoch(train) [37][820/940] lr: 1.0000e-02 eta: 10:50:22 time: 0.7426 data_time: 0.1934 memory: 8322 grad_norm: 4.3630 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5389 loss: 1.5389 2022/08/01 00:07:58 - mmengine - INFO - Epoch(train) [37][840/940] lr: 1.0000e-02 eta: 10:50:05 time: 0.5415 data_time: 0.1553 memory: 8322 grad_norm: 4.2917 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5385 loss: 1.5385 2022/08/01 00:08:12 - mmengine - INFO - Epoch(train) [37][860/940] lr: 1.0000e-02 eta: 10:49:53 time: 0.7044 data_time: 0.1368 memory: 8322 grad_norm: 4.2330 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5019 loss: 1.5019 2022/08/01 00:08:24 - mmengine - INFO - Epoch(train) [37][880/940] lr: 1.0000e-02 eta: 10:49:38 time: 0.6016 data_time: 0.0620 memory: 8322 grad_norm: 4.2258 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5172 loss: 1.5172 2022/08/01 00:08:39 - mmengine - INFO - Epoch(train) [37][900/940] lr: 1.0000e-02 eta: 10:49:27 time: 0.7264 data_time: 0.0441 memory: 8322 grad_norm: 4.2798 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5466 loss: 1.5466 2022/08/01 00:08:50 - mmengine - INFO - Epoch(train) [37][920/940] lr: 1.0000e-02 eta: 10:49:12 time: 0.5806 data_time: 0.0459 memory: 8322 grad_norm: 4.2935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4939 loss: 1.4939 2022/08/01 00:09:03 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:09:03 - mmengine - INFO - Epoch(train) [37][940/940] lr: 1.0000e-02 eta: 10:48:58 time: 0.6430 data_time: 0.0194 memory: 8322 grad_norm: 4.5276 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.4539 loss: 1.4539 2022/08/01 00:09:17 - mmengine - INFO - Epoch(val) [37][20/78] eta: 0:00:39 time: 0.6783 data_time: 0.6071 memory: 1463 2022/08/01 00:09:25 - mmengine - INFO - Epoch(val) [37][40/78] eta: 0:00:16 time: 0.4287 data_time: 0.3631 memory: 1463 2022/08/01 00:09:38 - mmengine - INFO - Epoch(val) [37][60/78] eta: 0:00:11 time: 0.6446 data_time: 0.5803 memory: 1463 2022/08/01 00:09:49 - mmengine - INFO - Epoch(val) [37][78/78] acc/top1: 0.6369 acc/top5: 0.8468 acc/mean1: 0.6367 2022/08/01 00:10:07 - mmengine - INFO - Epoch(train) [38][20/940] lr: 1.0000e-02 eta: 10:48:54 time: 0.9264 data_time: 0.3933 memory: 8322 grad_norm: 4.1777 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4520 loss: 1.4520 2022/08/01 00:10:18 - mmengine - INFO - Epoch(train) [38][40/940] lr: 1.0000e-02 eta: 10:48:36 time: 0.5297 data_time: 0.0900 memory: 8322 grad_norm: 4.2721 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4527 loss: 1.4527 2022/08/01 00:10:33 - mmengine - INFO - Epoch(train) [38][60/940] lr: 1.0000e-02 eta: 10:48:27 time: 0.7664 data_time: 0.1781 memory: 8322 grad_norm: 4.1760 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.3670 loss: 1.3670 2022/08/01 00:10:44 - mmengine - INFO - Epoch(train) [38][80/940] lr: 1.0000e-02 eta: 10:48:10 time: 0.5449 data_time: 0.0323 memory: 8322 grad_norm: 4.2291 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5402 loss: 1.5402 2022/08/01 00:10:58 - mmengine - INFO - Epoch(train) [38][100/940] lr: 1.0000e-02 eta: 10:47:58 time: 0.7015 data_time: 0.0568 memory: 8322 grad_norm: 4.1843 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.4883 loss: 1.4883 2022/08/01 00:11:09 - mmengine - INFO - Epoch(train) [38][120/940] lr: 1.0000e-02 eta: 10:47:42 time: 0.5645 data_time: 0.0335 memory: 8322 grad_norm: 4.1951 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4381 loss: 1.4381 2022/08/01 00:11:25 - mmengine - INFO - Epoch(train) [38][140/940] lr: 1.0000e-02 eta: 10:47:33 time: 0.7666 data_time: 0.0592 memory: 8322 grad_norm: 4.2162 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3938 loss: 1.3938 2022/08/01 00:11:36 - mmengine - INFO - Epoch(train) [38][160/940] lr: 1.0000e-02 eta: 10:47:17 time: 0.5756 data_time: 0.0441 memory: 8322 grad_norm: 4.2183 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5719 loss: 1.5719 2022/08/01 00:11:50 - mmengine - INFO - Epoch(train) [38][180/940] lr: 1.0000e-02 eta: 10:47:05 time: 0.6966 data_time: 0.0343 memory: 8322 grad_norm: 4.2753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4528 loss: 1.4528 2022/08/01 00:12:01 - mmengine - INFO - Epoch(train) [38][200/940] lr: 1.0000e-02 eta: 10:46:47 time: 0.5266 data_time: 0.0354 memory: 8322 grad_norm: 4.2190 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4442 loss: 1.4442 2022/08/01 00:12:16 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:12:16 - mmengine - INFO - Epoch(train) [38][220/940] lr: 1.0000e-02 eta: 10:46:38 time: 0.7601 data_time: 0.0329 memory: 8322 grad_norm: 4.3305 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4454 loss: 1.4454 2022/08/01 00:12:27 - mmengine - INFO - Epoch(train) [38][240/940] lr: 1.0000e-02 eta: 10:46:21 time: 0.5450 data_time: 0.0386 memory: 8322 grad_norm: 4.3555 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6797 loss: 1.6797 2022/08/01 00:12:41 - mmengine - INFO - Epoch(train) [38][260/940] lr: 1.0000e-02 eta: 10:46:10 time: 0.7208 data_time: 0.0353 memory: 8322 grad_norm: 4.2248 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4789 loss: 1.4789 2022/08/01 00:12:53 - mmengine - INFO - Epoch(train) [38][280/940] lr: 1.0000e-02 eta: 10:45:53 time: 0.5667 data_time: 0.0392 memory: 8322 grad_norm: 4.2510 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4735 loss: 1.4735 2022/08/01 00:13:07 - mmengine - INFO - Epoch(train) [38][300/940] lr: 1.0000e-02 eta: 10:45:42 time: 0.7160 data_time: 0.0410 memory: 8322 grad_norm: 4.2128 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4870 loss: 1.4870 2022/08/01 00:13:18 - mmengine - INFO - Epoch(train) [38][320/940] lr: 1.0000e-02 eta: 10:45:25 time: 0.5476 data_time: 0.0379 memory: 8322 grad_norm: 4.2861 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2984 loss: 1.2984 2022/08/01 00:13:33 - mmengine - INFO - Epoch(train) [38][340/940] lr: 1.0000e-02 eta: 10:45:15 time: 0.7526 data_time: 0.0400 memory: 8322 grad_norm: 4.1977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3690 loss: 1.3690 2022/08/01 00:13:44 - mmengine - INFO - Epoch(train) [38][360/940] lr: 1.0000e-02 eta: 10:45:00 time: 0.5749 data_time: 0.0348 memory: 8322 grad_norm: 4.2236 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.4315 loss: 1.4315 2022/08/01 00:13:58 - mmengine - INFO - Epoch(train) [38][380/940] lr: 1.0000e-02 eta: 10:44:47 time: 0.6639 data_time: 0.0443 memory: 8322 grad_norm: 4.2760 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4404 loss: 1.4404 2022/08/01 00:14:10 - mmengine - INFO - Epoch(train) [38][400/940] lr: 1.0000e-02 eta: 10:44:31 time: 0.5988 data_time: 0.0423 memory: 8322 grad_norm: 4.3112 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3846 loss: 1.3846 2022/08/01 00:14:24 - mmengine - INFO - Epoch(train) [38][420/940] lr: 1.0000e-02 eta: 10:44:20 time: 0.7081 data_time: 0.0351 memory: 8322 grad_norm: 4.1765 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3991 loss: 1.3991 2022/08/01 00:14:35 - mmengine - INFO - Epoch(train) [38][440/940] lr: 1.0000e-02 eta: 10:44:03 time: 0.5433 data_time: 0.0365 memory: 8322 grad_norm: 4.2837 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5090 loss: 1.5090 2022/08/01 00:14:50 - mmengine - INFO - Epoch(train) [38][460/940] lr: 1.0000e-02 eta: 10:43:54 time: 0.7707 data_time: 0.0318 memory: 8322 grad_norm: 4.3399 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5856 loss: 1.5856 2022/08/01 00:15:02 - mmengine - INFO - Epoch(train) [38][480/940] lr: 1.0000e-02 eta: 10:43:39 time: 0.6116 data_time: 0.0342 memory: 8322 grad_norm: 4.2451 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4148 loss: 1.4148 2022/08/01 00:15:17 - mmengine - INFO - Epoch(train) [38][500/940] lr: 1.0000e-02 eta: 10:43:28 time: 0.7198 data_time: 0.0393 memory: 8322 grad_norm: 4.3018 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4638 loss: 1.4638 2022/08/01 00:15:28 - mmengine - INFO - Epoch(train) [38][520/940] lr: 1.0000e-02 eta: 10:43:12 time: 0.5684 data_time: 0.0361 memory: 8322 grad_norm: 4.3090 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4295 loss: 1.4295 2022/08/01 00:15:44 - mmengine - INFO - Epoch(train) [38][540/940] lr: 1.0000e-02 eta: 10:43:02 time: 0.7731 data_time: 0.0389 memory: 8322 grad_norm: 4.3541 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5661 loss: 1.5661 2022/08/01 00:15:53 - mmengine - INFO - Epoch(train) [38][560/940] lr: 1.0000e-02 eta: 10:42:42 time: 0.4465 data_time: 0.0350 memory: 8322 grad_norm: 4.2963 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3856 loss: 1.3856 2022/08/01 00:16:07 - mmengine - INFO - Epoch(train) [38][580/940] lr: 1.0000e-02 eta: 10:42:31 time: 0.6977 data_time: 0.0411 memory: 8322 grad_norm: 4.2409 top1_acc: 0.4688 top5_acc: 0.9062 loss_cls: 1.5291 loss: 1.5291 2022/08/01 00:16:17 - mmengine - INFO - Epoch(train) [38][600/940] lr: 1.0000e-02 eta: 10:42:13 time: 0.5322 data_time: 0.0363 memory: 8322 grad_norm: 4.2574 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.5020 loss: 1.5020 2022/08/01 00:16:32 - mmengine - INFO - Epoch(train) [38][620/940] lr: 1.0000e-02 eta: 10:42:03 time: 0.7415 data_time: 0.0523 memory: 8322 grad_norm: 4.3505 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5011 loss: 1.5011 2022/08/01 00:16:46 - mmengine - INFO - Epoch(train) [38][640/940] lr: 1.0000e-02 eta: 10:41:50 time: 0.6775 data_time: 0.0339 memory: 8322 grad_norm: 4.2838 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5023 loss: 1.5023 2022/08/01 00:16:58 - mmengine - INFO - Epoch(train) [38][660/940] lr: 1.0000e-02 eta: 10:41:37 time: 0.6434 data_time: 0.0307 memory: 8322 grad_norm: 4.3505 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4858 loss: 1.4858 2022/08/01 00:17:10 - mmengine - INFO - Epoch(train) [38][680/940] lr: 1.0000e-02 eta: 10:41:21 time: 0.5672 data_time: 0.0719 memory: 8322 grad_norm: 4.2385 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4722 loss: 1.4722 2022/08/01 00:17:24 - mmengine - INFO - Epoch(train) [38][700/940] lr: 1.0000e-02 eta: 10:41:09 time: 0.6995 data_time: 0.1575 memory: 8322 grad_norm: 4.3149 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.5222 loss: 1.5222 2022/08/01 00:17:35 - mmengine - INFO - Epoch(train) [38][720/940] lr: 1.0000e-02 eta: 10:40:53 time: 0.5594 data_time: 0.0828 memory: 8322 grad_norm: 4.2626 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5213 loss: 1.5213 2022/08/01 00:17:50 - mmengine - INFO - Epoch(train) [38][740/940] lr: 1.0000e-02 eta: 10:40:42 time: 0.7464 data_time: 0.0557 memory: 8322 grad_norm: 4.3431 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4837 loss: 1.4837 2022/08/01 00:18:01 - mmengine - INFO - Epoch(train) [38][760/940] lr: 1.0000e-02 eta: 10:40:26 time: 0.5683 data_time: 0.0392 memory: 8322 grad_norm: 4.3635 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5149 loss: 1.5149 2022/08/01 00:18:16 - mmengine - INFO - Epoch(train) [38][780/940] lr: 1.0000e-02 eta: 10:40:16 time: 0.7410 data_time: 0.0333 memory: 8322 grad_norm: 4.2523 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.5599 loss: 1.5599 2022/08/01 00:18:27 - mmengine - INFO - Epoch(train) [38][800/940] lr: 1.0000e-02 eta: 10:39:59 time: 0.5599 data_time: 0.0410 memory: 8322 grad_norm: 4.3356 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3812 loss: 1.3812 2022/08/01 00:18:41 - mmengine - INFO - Epoch(train) [38][820/940] lr: 1.0000e-02 eta: 10:39:47 time: 0.6807 data_time: 0.0419 memory: 8322 grad_norm: 4.3009 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4312 loss: 1.4312 2022/08/01 00:18:53 - mmengine - INFO - Epoch(train) [38][840/940] lr: 1.0000e-02 eta: 10:39:32 time: 0.6077 data_time: 0.0844 memory: 8322 grad_norm: 4.1713 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4447 loss: 1.4447 2022/08/01 00:19:07 - mmengine - INFO - Epoch(train) [38][860/940] lr: 1.0000e-02 eta: 10:39:20 time: 0.6763 data_time: 0.1566 memory: 8322 grad_norm: 4.2728 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4705 loss: 1.4705 2022/08/01 00:19:19 - mmengine - INFO - Epoch(train) [38][880/940] lr: 1.0000e-02 eta: 10:39:06 time: 0.6315 data_time: 0.0878 memory: 8322 grad_norm: 4.2402 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.5079 loss: 1.5079 2022/08/01 00:19:34 - mmengine - INFO - Epoch(train) [38][900/940] lr: 1.0000e-02 eta: 10:38:55 time: 0.7256 data_time: 0.0455 memory: 8322 grad_norm: 4.3086 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.4160 loss: 1.4160 2022/08/01 00:19:45 - mmengine - INFO - Epoch(train) [38][920/940] lr: 1.0000e-02 eta: 10:38:39 time: 0.5682 data_time: 0.0358 memory: 8322 grad_norm: 4.3708 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5178 loss: 1.5178 2022/08/01 00:19:56 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:19:56 - mmengine - INFO - Epoch(train) [38][940/940] lr: 1.0000e-02 eta: 10:38:22 time: 0.5571 data_time: 0.0251 memory: 8322 grad_norm: 4.4178 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.4525 loss: 1.4525 2022/08/01 00:20:10 - mmengine - INFO - Epoch(val) [38][20/78] eta: 0:00:39 time: 0.6747 data_time: 0.6076 memory: 1463 2022/08/01 00:20:19 - mmengine - INFO - Epoch(val) [38][40/78] eta: 0:00:16 time: 0.4357 data_time: 0.3685 memory: 1463 2022/08/01 00:20:31 - mmengine - INFO - Epoch(val) [38][60/78] eta: 0:00:11 time: 0.6294 data_time: 0.5676 memory: 1463 2022/08/01 00:20:42 - mmengine - INFO - Epoch(val) [38][78/78] acc/top1: 0.6487 acc/top5: 0.8574 acc/mean1: 0.6484 2022/08/01 00:20:59 - mmengine - INFO - Epoch(train) [39][20/940] lr: 1.0000e-02 eta: 10:38:15 time: 0.8253 data_time: 0.5157 memory: 8322 grad_norm: 4.3358 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3054 loss: 1.3054 2022/08/01 00:21:10 - mmengine - INFO - Epoch(train) [39][40/940] lr: 1.0000e-02 eta: 10:38:00 time: 0.5946 data_time: 0.1405 memory: 8322 grad_norm: 4.2023 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4215 loss: 1.4215 2022/08/01 00:21:25 - mmengine - INFO - Epoch(train) [39][60/940] lr: 1.0000e-02 eta: 10:37:48 time: 0.7101 data_time: 0.0577 memory: 8322 grad_norm: 4.2014 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3961 loss: 1.3961 2022/08/01 00:21:36 - mmengine - INFO - Epoch(train) [39][80/940] lr: 1.0000e-02 eta: 10:37:32 time: 0.5531 data_time: 0.0934 memory: 8322 grad_norm: 4.2724 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3535 loss: 1.3535 2022/08/01 00:21:50 - mmengine - INFO - Epoch(train) [39][100/940] lr: 1.0000e-02 eta: 10:37:21 time: 0.7339 data_time: 0.1353 memory: 8322 grad_norm: 4.2715 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.2896 loss: 1.2896 2022/08/01 00:22:01 - mmengine - INFO - Epoch(train) [39][120/940] lr: 1.0000e-02 eta: 10:37:04 time: 0.5513 data_time: 0.1001 memory: 8322 grad_norm: 4.3220 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4619 loss: 1.4619 2022/08/01 00:22:16 - mmengine - INFO - Epoch(train) [39][140/940] lr: 1.0000e-02 eta: 10:36:54 time: 0.7315 data_time: 0.1197 memory: 8322 grad_norm: 4.2540 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3877 loss: 1.3877 2022/08/01 00:22:27 - mmengine - INFO - Epoch(train) [39][160/940] lr: 1.0000e-02 eta: 10:36:38 time: 0.5784 data_time: 0.0270 memory: 8322 grad_norm: 4.1921 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2883 loss: 1.2883 2022/08/01 00:22:42 - mmengine - INFO - Epoch(train) [39][180/940] lr: 1.0000e-02 eta: 10:36:28 time: 0.7425 data_time: 0.0331 memory: 8322 grad_norm: 4.2366 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4512 loss: 1.4512 2022/08/01 00:22:53 - mmengine - INFO - Epoch(train) [39][200/940] lr: 1.0000e-02 eta: 10:36:11 time: 0.5404 data_time: 0.0379 memory: 8322 grad_norm: 4.3207 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4860 loss: 1.4860 2022/08/01 00:23:08 - mmengine - INFO - Epoch(train) [39][220/940] lr: 1.0000e-02 eta: 10:36:00 time: 0.7488 data_time: 0.0381 memory: 8322 grad_norm: 4.2635 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4040 loss: 1.4040 2022/08/01 00:23:19 - mmengine - INFO - Epoch(train) [39][240/940] lr: 1.0000e-02 eta: 10:35:44 time: 0.5535 data_time: 0.0393 memory: 8322 grad_norm: 4.4011 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4186 loss: 1.4186 2022/08/01 00:23:34 - mmengine - INFO - Epoch(train) [39][260/940] lr: 1.0000e-02 eta: 10:35:33 time: 0.7167 data_time: 0.0373 memory: 8322 grad_norm: 4.3942 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5059 loss: 1.5059 2022/08/01 00:23:46 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:23:46 - mmengine - INFO - Epoch(train) [39][280/940] lr: 1.0000e-02 eta: 10:35:18 time: 0.6053 data_time: 0.0404 memory: 8322 grad_norm: 4.3967 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5113 loss: 1.5113 2022/08/01 00:23:59 - mmengine - INFO - Epoch(train) [39][300/940] lr: 1.0000e-02 eta: 10:35:05 time: 0.6600 data_time: 0.0350 memory: 8322 grad_norm: 4.2742 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5373 loss: 1.5373 2022/08/01 00:24:10 - mmengine - INFO - Epoch(train) [39][320/940] lr: 1.0000e-02 eta: 10:34:49 time: 0.5784 data_time: 0.0348 memory: 8322 grad_norm: 4.3120 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4833 loss: 1.4833 2022/08/01 00:24:25 - mmengine - INFO - Epoch(train) [39][340/940] lr: 1.0000e-02 eta: 10:34:39 time: 0.7510 data_time: 0.0397 memory: 8322 grad_norm: 4.1469 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2700 loss: 1.2700 2022/08/01 00:24:36 - mmengine - INFO - Epoch(train) [39][360/940] lr: 1.0000e-02 eta: 10:34:22 time: 0.5419 data_time: 0.0320 memory: 8322 grad_norm: 4.2884 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3274 loss: 1.3274 2022/08/01 00:24:50 - mmengine - INFO - Epoch(train) [39][380/940] lr: 1.0000e-02 eta: 10:34:11 time: 0.7082 data_time: 0.0377 memory: 8322 grad_norm: 4.3801 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5867 loss: 1.5867 2022/08/01 00:25:02 - mmengine - INFO - Epoch(train) [39][400/940] lr: 1.0000e-02 eta: 10:33:55 time: 0.5897 data_time: 0.0333 memory: 8322 grad_norm: 4.2946 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3360 loss: 1.3360 2022/08/01 00:25:16 - mmengine - INFO - Epoch(train) [39][420/940] lr: 1.0000e-02 eta: 10:33:44 time: 0.7027 data_time: 0.0344 memory: 8322 grad_norm: 4.1748 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5075 loss: 1.5075 2022/08/01 00:25:28 - mmengine - INFO - Epoch(train) [39][440/940] lr: 1.0000e-02 eta: 10:33:27 time: 0.5587 data_time: 0.0299 memory: 8322 grad_norm: 4.3982 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4764 loss: 1.4764 2022/08/01 00:25:41 - mmengine - INFO - Epoch(train) [39][460/940] lr: 1.0000e-02 eta: 10:33:16 time: 0.6964 data_time: 0.0417 memory: 8322 grad_norm: 4.3840 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4257 loss: 1.4257 2022/08/01 00:25:53 - mmengine - INFO - Epoch(train) [39][480/940] lr: 1.0000e-02 eta: 10:33:00 time: 0.5703 data_time: 0.0553 memory: 8322 grad_norm: 4.3931 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4830 loss: 1.4830 2022/08/01 00:26:07 - mmengine - INFO - Epoch(train) [39][500/940] lr: 1.0000e-02 eta: 10:32:48 time: 0.7148 data_time: 0.0412 memory: 8322 grad_norm: 4.2934 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4436 loss: 1.4436 2022/08/01 00:26:19 - mmengine - INFO - Epoch(train) [39][520/940] lr: 1.0000e-02 eta: 10:32:33 time: 0.5774 data_time: 0.0333 memory: 8322 grad_norm: 4.3689 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4599 loss: 1.4599 2022/08/01 00:26:33 - mmengine - INFO - Epoch(train) [39][540/940] lr: 1.0000e-02 eta: 10:32:22 time: 0.7218 data_time: 0.0362 memory: 8322 grad_norm: 4.3596 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2952 loss: 1.2952 2022/08/01 00:26:45 - mmengine - INFO - Epoch(train) [39][560/940] lr: 1.0000e-02 eta: 10:32:06 time: 0.5719 data_time: 0.0358 memory: 8322 grad_norm: 4.3145 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4459 loss: 1.4459 2022/08/01 00:26:59 - mmengine - INFO - Epoch(train) [39][580/940] lr: 1.0000e-02 eta: 10:31:54 time: 0.7076 data_time: 0.0371 memory: 8322 grad_norm: 4.3639 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4637 loss: 1.4637 2022/08/01 00:27:11 - mmengine - INFO - Epoch(train) [39][600/940] lr: 1.0000e-02 eta: 10:31:39 time: 0.5894 data_time: 0.0271 memory: 8322 grad_norm: 4.3101 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.6068 loss: 1.6068 2022/08/01 00:27:25 - mmengine - INFO - Epoch(train) [39][620/940] lr: 1.0000e-02 eta: 10:31:28 time: 0.7354 data_time: 0.0355 memory: 8322 grad_norm: 4.2564 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4834 loss: 1.4834 2022/08/01 00:27:35 - mmengine - INFO - Epoch(train) [39][640/940] lr: 1.0000e-02 eta: 10:31:10 time: 0.4905 data_time: 0.0288 memory: 8322 grad_norm: 4.2716 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3989 loss: 1.3989 2022/08/01 00:27:49 - mmengine - INFO - Epoch(train) [39][660/940] lr: 1.0000e-02 eta: 10:30:58 time: 0.7034 data_time: 0.0381 memory: 8322 grad_norm: 4.4432 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.3527 loss: 1.3527 2022/08/01 00:28:01 - mmengine - INFO - Epoch(train) [39][680/940] lr: 1.0000e-02 eta: 10:30:42 time: 0.5700 data_time: 0.0291 memory: 8322 grad_norm: 4.2710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4961 loss: 1.4961 2022/08/01 00:28:16 - mmengine - INFO - Epoch(train) [39][700/940] lr: 1.0000e-02 eta: 10:30:33 time: 0.7697 data_time: 0.0341 memory: 8322 grad_norm: 4.3415 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.3880 loss: 1.3880 2022/08/01 00:28:27 - mmengine - INFO - Epoch(train) [39][720/940] lr: 1.0000e-02 eta: 10:30:16 time: 0.5624 data_time: 0.0296 memory: 8322 grad_norm: 4.2878 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.5198 loss: 1.5198 2022/08/01 00:28:41 - mmengine - INFO - Epoch(train) [39][740/940] lr: 1.0000e-02 eta: 10:30:04 time: 0.6677 data_time: 0.0332 memory: 8322 grad_norm: 4.3608 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4253 loss: 1.4253 2022/08/01 00:28:52 - mmengine - INFO - Epoch(train) [39][760/940] lr: 1.0000e-02 eta: 10:29:48 time: 0.5816 data_time: 0.0423 memory: 8322 grad_norm: 4.3018 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4993 loss: 1.4993 2022/08/01 00:29:07 - mmengine - INFO - Epoch(train) [39][780/940] lr: 1.0000e-02 eta: 10:29:37 time: 0.7167 data_time: 0.0364 memory: 8322 grad_norm: 4.4501 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5111 loss: 1.5111 2022/08/01 00:29:18 - mmengine - INFO - Epoch(train) [39][800/940] lr: 1.0000e-02 eta: 10:29:21 time: 0.5835 data_time: 0.0302 memory: 8322 grad_norm: 4.2967 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6207 loss: 1.6207 2022/08/01 00:29:33 - mmengine - INFO - Epoch(train) [39][820/940] lr: 1.0000e-02 eta: 10:29:11 time: 0.7358 data_time: 0.0339 memory: 8322 grad_norm: 4.3222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4806 loss: 1.4806 2022/08/01 00:29:45 - mmengine - INFO - Epoch(train) [39][840/940] lr: 1.0000e-02 eta: 10:28:56 time: 0.6138 data_time: 0.0281 memory: 8322 grad_norm: 4.2998 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/08/01 00:29:59 - mmengine - INFO - Epoch(train) [39][860/940] lr: 1.0000e-02 eta: 10:28:44 time: 0.6728 data_time: 0.0385 memory: 8322 grad_norm: 4.3183 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5047 loss: 1.5047 2022/08/01 00:30:10 - mmengine - INFO - Epoch(train) [39][880/940] lr: 1.0000e-02 eta: 10:28:28 time: 0.5701 data_time: 0.0319 memory: 8322 grad_norm: 4.3074 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5778 loss: 1.5778 2022/08/01 00:30:24 - mmengine - INFO - Epoch(train) [39][900/940] lr: 1.0000e-02 eta: 10:28:17 time: 0.7214 data_time: 0.0329 memory: 8322 grad_norm: 4.3393 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3638 loss: 1.3638 2022/08/01 00:30:36 - mmengine - INFO - Epoch(train) [39][920/940] lr: 1.0000e-02 eta: 10:28:01 time: 0.5864 data_time: 0.0359 memory: 8322 grad_norm: 4.3058 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5315 loss: 1.5315 2022/08/01 00:30:47 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:30:47 - mmengine - INFO - Epoch(train) [39][940/940] lr: 1.0000e-02 eta: 10:27:44 time: 0.5333 data_time: 0.0263 memory: 8322 grad_norm: 4.5148 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.4006 loss: 1.4006 2022/08/01 00:30:47 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/01 00:31:03 - mmengine - INFO - Epoch(val) [39][20/78] eta: 0:00:39 time: 0.6828 data_time: 0.6122 memory: 1463 2022/08/01 00:31:12 - mmengine - INFO - Epoch(val) [39][40/78] eta: 0:00:16 time: 0.4360 data_time: 0.3738 memory: 1463 2022/08/01 00:31:24 - mmengine - INFO - Epoch(val) [39][60/78] eta: 0:00:11 time: 0.6368 data_time: 0.5730 memory: 1463 2022/08/01 00:31:35 - mmengine - INFO - Epoch(val) [39][78/78] acc/top1: 0.6469 acc/top5: 0.8595 acc/mean1: 0.6467 2022/08/01 00:31:51 - mmengine - INFO - Epoch(train) [40][20/940] lr: 1.0000e-02 eta: 10:27:36 time: 0.7960 data_time: 0.5086 memory: 8322 grad_norm: 4.1242 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3962 loss: 1.3962 2022/08/01 00:32:03 - mmengine - INFO - Epoch(train) [40][40/940] lr: 1.0000e-02 eta: 10:27:19 time: 0.5579 data_time: 0.2260 memory: 8322 grad_norm: 4.2293 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5769 loss: 1.5769 2022/08/01 00:32:17 - mmengine - INFO - Epoch(train) [40][60/940] lr: 1.0000e-02 eta: 10:27:07 time: 0.6988 data_time: 0.3739 memory: 8322 grad_norm: 4.3220 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4447 loss: 1.4447 2022/08/01 00:32:28 - mmengine - INFO - Epoch(train) [40][80/940] lr: 1.0000e-02 eta: 10:26:51 time: 0.5474 data_time: 0.2948 memory: 8322 grad_norm: 4.2278 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.3851 loss: 1.3851 2022/08/01 00:32:43 - mmengine - INFO - Epoch(train) [40][100/940] lr: 1.0000e-02 eta: 10:26:41 time: 0.7562 data_time: 0.4012 memory: 8322 grad_norm: 4.2781 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4472 loss: 1.4472 2022/08/01 00:32:54 - mmengine - INFO - Epoch(train) [40][120/940] lr: 1.0000e-02 eta: 10:26:25 time: 0.5673 data_time: 0.2019 memory: 8322 grad_norm: 4.2486 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3235 loss: 1.3235 2022/08/01 00:33:08 - mmengine - INFO - Epoch(train) [40][140/940] lr: 1.0000e-02 eta: 10:26:13 time: 0.7070 data_time: 0.2946 memory: 8322 grad_norm: 4.2133 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4613 loss: 1.4613 2022/08/01 00:33:20 - mmengine - INFO - Epoch(train) [40][160/940] lr: 1.0000e-02 eta: 10:25:58 time: 0.5982 data_time: 0.1966 memory: 8322 grad_norm: 4.3886 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5440 loss: 1.5440 2022/08/01 00:33:36 - mmengine - INFO - Epoch(train) [40][180/940] lr: 1.0000e-02 eta: 10:25:49 time: 0.7847 data_time: 0.1039 memory: 8322 grad_norm: 4.2784 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.4882 loss: 1.4882 2022/08/01 00:33:46 - mmengine - INFO - Epoch(train) [40][200/940] lr: 1.0000e-02 eta: 10:25:31 time: 0.4866 data_time: 0.0697 memory: 8322 grad_norm: 4.3330 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4422 loss: 1.4422 2022/08/01 00:34:00 - mmengine - INFO - Epoch(train) [40][220/940] lr: 1.0000e-02 eta: 10:25:19 time: 0.7052 data_time: 0.1018 memory: 8322 grad_norm: 4.2930 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3853 loss: 1.3853 2022/08/01 00:34:11 - mmengine - INFO - Epoch(train) [40][240/940] lr: 1.0000e-02 eta: 10:25:04 time: 0.5813 data_time: 0.0703 memory: 8322 grad_norm: 4.2378 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4901 loss: 1.4901 2022/08/01 00:34:26 - mmengine - INFO - Epoch(train) [40][260/940] lr: 1.0000e-02 eta: 10:24:54 time: 0.7534 data_time: 0.0542 memory: 8322 grad_norm: 4.3451 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3951 loss: 1.3951 2022/08/01 00:34:37 - mmengine - INFO - Epoch(train) [40][280/940] lr: 1.0000e-02 eta: 10:24:37 time: 0.5327 data_time: 0.0321 memory: 8322 grad_norm: 4.3164 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.3852 loss: 1.3852 2022/08/01 00:34:52 - mmengine - INFO - Epoch(train) [40][300/940] lr: 1.0000e-02 eta: 10:24:26 time: 0.7270 data_time: 0.0351 memory: 8322 grad_norm: 4.2532 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4555 loss: 1.4555 2022/08/01 00:35:03 - mmengine - INFO - Epoch(train) [40][320/940] lr: 1.0000e-02 eta: 10:24:10 time: 0.5752 data_time: 0.0308 memory: 8322 grad_norm: 4.2274 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4795 loss: 1.4795 2022/08/01 00:35:17 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:35:17 - mmengine - INFO - Epoch(train) [40][340/940] lr: 1.0000e-02 eta: 10:23:59 time: 0.7148 data_time: 0.0359 memory: 8322 grad_norm: 4.3479 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5442 loss: 1.5442 2022/08/01 00:35:29 - mmengine - INFO - Epoch(train) [40][360/940] lr: 1.0000e-02 eta: 10:23:43 time: 0.5688 data_time: 0.0381 memory: 8322 grad_norm: 4.2878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3824 loss: 1.3824 2022/08/01 00:35:43 - mmengine - INFO - Epoch(train) [40][380/940] lr: 1.0000e-02 eta: 10:23:31 time: 0.7094 data_time: 0.0401 memory: 8322 grad_norm: 4.2668 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4590 loss: 1.4590 2022/08/01 00:35:54 - mmengine - INFO - Epoch(train) [40][400/940] lr: 1.0000e-02 eta: 10:23:15 time: 0.5465 data_time: 0.0358 memory: 8322 grad_norm: 4.1907 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4208 loss: 1.4208 2022/08/01 00:36:09 - mmengine - INFO - Epoch(train) [40][420/940] lr: 1.0000e-02 eta: 10:23:04 time: 0.7470 data_time: 0.0394 memory: 8322 grad_norm: 4.3721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3772 loss: 1.3772 2022/08/01 00:36:21 - mmengine - INFO - Epoch(train) [40][440/940] lr: 1.0000e-02 eta: 10:22:49 time: 0.5852 data_time: 0.0331 memory: 8322 grad_norm: 4.3743 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.3383 loss: 1.3383 2022/08/01 00:36:35 - mmengine - INFO - Epoch(train) [40][460/940] lr: 1.0000e-02 eta: 10:22:37 time: 0.7009 data_time: 0.0385 memory: 8322 grad_norm: 4.4042 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4135 loss: 1.4135 2022/08/01 00:36:47 - mmengine - INFO - Epoch(train) [40][480/940] lr: 1.0000e-02 eta: 10:22:23 time: 0.6176 data_time: 0.0401 memory: 8322 grad_norm: 4.3115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3976 loss: 1.3976 2022/08/01 00:37:01 - mmengine - INFO - Epoch(train) [40][500/940] lr: 1.0000e-02 eta: 10:22:10 time: 0.6741 data_time: 0.0372 memory: 8322 grad_norm: 4.3502 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5675 loss: 1.5675 2022/08/01 00:37:11 - mmengine - INFO - Epoch(train) [40][520/940] lr: 1.0000e-02 eta: 10:21:54 time: 0.5468 data_time: 0.0387 memory: 8322 grad_norm: 4.2075 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3235 loss: 1.3235 2022/08/01 00:37:26 - mmengine - INFO - Epoch(train) [40][540/940] lr: 1.0000e-02 eta: 10:21:43 time: 0.7453 data_time: 0.0344 memory: 8322 grad_norm: 4.2398 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.5314 loss: 1.5314 2022/08/01 00:37:37 - mmengine - INFO - Epoch(train) [40][560/940] lr: 1.0000e-02 eta: 10:21:27 time: 0.5543 data_time: 0.0389 memory: 8322 grad_norm: 4.2374 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4762 loss: 1.4762 2022/08/01 00:37:52 - mmengine - INFO - Epoch(train) [40][580/940] lr: 1.0000e-02 eta: 10:21:16 time: 0.7151 data_time: 0.0327 memory: 8322 grad_norm: 4.3330 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.3514 loss: 1.3514 2022/08/01 00:38:02 - mmengine - INFO - Epoch(train) [40][600/940] lr: 1.0000e-02 eta: 10:20:59 time: 0.5425 data_time: 0.0311 memory: 8322 grad_norm: 4.3064 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4372 loss: 1.4372 2022/08/01 00:38:18 - mmengine - INFO - Epoch(train) [40][620/940] lr: 1.0000e-02 eta: 10:20:49 time: 0.7552 data_time: 0.0365 memory: 8322 grad_norm: 4.3248 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5261 loss: 1.5261 2022/08/01 00:38:29 - mmengine - INFO - Epoch(train) [40][640/940] lr: 1.0000e-02 eta: 10:20:34 time: 0.5834 data_time: 0.0323 memory: 8322 grad_norm: 4.2777 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4455 loss: 1.4455 2022/08/01 00:38:43 - mmengine - INFO - Epoch(train) [40][660/940] lr: 1.0000e-02 eta: 10:20:22 time: 0.7060 data_time: 0.0350 memory: 8322 grad_norm: 4.2248 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4764 loss: 1.4764 2022/08/01 00:38:55 - mmengine - INFO - Epoch(train) [40][680/940] lr: 1.0000e-02 eta: 10:20:07 time: 0.5957 data_time: 0.0300 memory: 8322 grad_norm: 4.3378 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4276 loss: 1.4276 2022/08/01 00:39:09 - mmengine - INFO - Epoch(train) [40][700/940] lr: 1.0000e-02 eta: 10:19:55 time: 0.7028 data_time: 0.0322 memory: 8322 grad_norm: 4.4034 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.4018 loss: 1.4018 2022/08/01 00:39:21 - mmengine - INFO - Epoch(train) [40][720/940] lr: 1.0000e-02 eta: 10:19:40 time: 0.5866 data_time: 0.0301 memory: 8322 grad_norm: 4.3147 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3974 loss: 1.3974 2022/08/01 00:39:36 - mmengine - INFO - Epoch(train) [40][740/940] lr: 1.0000e-02 eta: 10:19:29 time: 0.7343 data_time: 0.0380 memory: 8322 grad_norm: 4.2970 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4828 loss: 1.4828 2022/08/01 00:39:47 - mmengine - INFO - Epoch(train) [40][760/940] lr: 1.0000e-02 eta: 10:19:13 time: 0.5509 data_time: 0.0264 memory: 8322 grad_norm: 4.3866 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3982 loss: 1.3982 2022/08/01 00:40:01 - mmengine - INFO - Epoch(train) [40][780/940] lr: 1.0000e-02 eta: 10:19:01 time: 0.6858 data_time: 0.0325 memory: 8322 grad_norm: 4.3980 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6819 loss: 1.6819 2022/08/01 00:40:13 - mmengine - INFO - Epoch(train) [40][800/940] lr: 1.0000e-02 eta: 10:18:46 time: 0.6195 data_time: 0.0300 memory: 8322 grad_norm: 4.3184 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4767 loss: 1.4767 2022/08/01 00:40:27 - mmengine - INFO - Epoch(train) [40][820/940] lr: 1.0000e-02 eta: 10:18:34 time: 0.6806 data_time: 0.0519 memory: 8322 grad_norm: 4.3677 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4690 loss: 1.4690 2022/08/01 00:40:39 - mmengine - INFO - Epoch(train) [40][840/940] lr: 1.0000e-02 eta: 10:18:20 time: 0.6378 data_time: 0.0381 memory: 8322 grad_norm: 4.2810 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4799 loss: 1.4799 2022/08/01 00:40:54 - mmengine - INFO - Epoch(train) [40][860/940] lr: 1.0000e-02 eta: 10:18:09 time: 0.7327 data_time: 0.0325 memory: 8322 grad_norm: 4.2881 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3716 loss: 1.3716 2022/08/01 00:41:05 - mmengine - INFO - Epoch(train) [40][880/940] lr: 1.0000e-02 eta: 10:17:52 time: 0.5277 data_time: 0.0382 memory: 8322 grad_norm: 4.2908 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.4709 loss: 1.4709 2022/08/01 00:41:19 - mmengine - INFO - Epoch(train) [40][900/940] lr: 1.0000e-02 eta: 10:17:41 time: 0.7184 data_time: 0.0368 memory: 8322 grad_norm: 4.3922 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5758 loss: 1.5758 2022/08/01 00:41:30 - mmengine - INFO - Epoch(train) [40][920/940] lr: 1.0000e-02 eta: 10:17:26 time: 0.5757 data_time: 0.0268 memory: 8322 grad_norm: 4.3893 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4473 loss: 1.4473 2022/08/01 00:41:43 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:41:43 - mmengine - INFO - Epoch(train) [40][940/940] lr: 1.0000e-02 eta: 10:17:11 time: 0.6238 data_time: 0.0304 memory: 8322 grad_norm: 4.6157 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.4904 loss: 1.4904 2022/08/01 00:41:56 - mmengine - INFO - Epoch(val) [40][20/78] eta: 0:00:39 time: 0.6759 data_time: 0.6105 memory: 1463 2022/08/01 00:42:06 - mmengine - INFO - Epoch(val) [40][40/78] eta: 0:00:17 time: 0.4716 data_time: 0.4107 memory: 1463 2022/08/01 00:42:18 - mmengine - INFO - Epoch(val) [40][60/78] eta: 0:00:10 time: 0.6064 data_time: 0.5427 memory: 1463 2022/08/01 00:42:29 - mmengine - INFO - Epoch(val) [40][78/78] acc/top1: 0.6487 acc/top5: 0.8610 acc/mean1: 0.6486 2022/08/01 00:42:46 - mmengine - INFO - Epoch(train) [41][20/940] lr: 1.0000e-03 eta: 10:17:04 time: 0.8337 data_time: 0.5661 memory: 8322 grad_norm: 4.2485 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4258 loss: 1.4258 2022/08/01 00:42:57 - mmengine - INFO - Epoch(train) [41][40/940] lr: 1.0000e-03 eta: 10:16:48 time: 0.5711 data_time: 0.2661 memory: 8322 grad_norm: 4.2015 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3375 loss: 1.3375 2022/08/01 00:43:11 - mmengine - INFO - Epoch(train) [41][60/940] lr: 1.0000e-03 eta: 10:16:35 time: 0.6772 data_time: 0.2555 memory: 8322 grad_norm: 4.1478 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3528 loss: 1.3528 2022/08/01 00:43:22 - mmengine - INFO - Epoch(train) [41][80/940] lr: 1.0000e-03 eta: 10:16:20 time: 0.5878 data_time: 0.1776 memory: 8322 grad_norm: 4.0965 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.2992 loss: 1.2992 2022/08/01 00:43:37 - mmengine - INFO - Epoch(train) [41][100/940] lr: 1.0000e-03 eta: 10:16:10 time: 0.7463 data_time: 0.1828 memory: 8322 grad_norm: 4.0206 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3730 loss: 1.3730 2022/08/01 00:43:49 - mmengine - INFO - Epoch(train) [41][120/940] lr: 1.0000e-03 eta: 10:15:54 time: 0.5804 data_time: 0.0330 memory: 8322 grad_norm: 4.1259 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3897 loss: 1.3897 2022/08/01 00:44:04 - mmengine - INFO - Epoch(train) [41][140/940] lr: 1.0000e-03 eta: 10:15:45 time: 0.7720 data_time: 0.0428 memory: 8322 grad_norm: 4.1063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3463 loss: 1.3463 2022/08/01 00:44:14 - mmengine - INFO - Epoch(train) [41][160/940] lr: 1.0000e-03 eta: 10:15:26 time: 0.4854 data_time: 0.0371 memory: 8322 grad_norm: 4.1222 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3115 loss: 1.3115 2022/08/01 00:44:29 - mmengine - INFO - Epoch(train) [41][180/940] lr: 1.0000e-03 eta: 10:15:16 time: 0.7300 data_time: 0.0688 memory: 8322 grad_norm: 4.0697 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3676 loss: 1.3676 2022/08/01 00:44:40 - mmengine - INFO - Epoch(train) [41][200/940] lr: 1.0000e-03 eta: 10:14:59 time: 0.5391 data_time: 0.0353 memory: 8322 grad_norm: 4.0037 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2930 loss: 1.2930 2022/08/01 00:44:54 - mmengine - INFO - Epoch(train) [41][220/940] lr: 1.0000e-03 eta: 10:14:48 time: 0.7475 data_time: 0.0356 memory: 8322 grad_norm: 4.0814 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3745 loss: 1.3745 2022/08/01 00:45:05 - mmengine - INFO - Epoch(train) [41][240/940] lr: 1.0000e-03 eta: 10:14:32 time: 0.5430 data_time: 0.0360 memory: 8322 grad_norm: 4.0890 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2405 loss: 1.2405 2022/08/01 00:45:20 - mmengine - INFO - Epoch(train) [41][260/940] lr: 1.0000e-03 eta: 10:14:20 time: 0.7102 data_time: 0.0368 memory: 8322 grad_norm: 4.1521 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2349 loss: 1.2349 2022/08/01 00:45:32 - mmengine - INFO - Epoch(train) [41][280/940] lr: 1.0000e-03 eta: 10:14:06 time: 0.5987 data_time: 0.0343 memory: 8322 grad_norm: 4.0512 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3548 loss: 1.3548 2022/08/01 00:45:46 - mmengine - INFO - Epoch(train) [41][300/940] lr: 1.0000e-03 eta: 10:13:55 time: 0.7315 data_time: 0.0346 memory: 8322 grad_norm: 4.0950 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2741 loss: 1.2741 2022/08/01 00:45:58 - mmengine - INFO - Epoch(train) [41][320/940] lr: 1.0000e-03 eta: 10:13:40 time: 0.6158 data_time: 0.0331 memory: 8322 grad_norm: 4.0229 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2109 loss: 1.2109 2022/08/01 00:46:12 - mmengine - INFO - Epoch(train) [41][340/940] lr: 1.0000e-03 eta: 10:13:27 time: 0.6580 data_time: 0.0337 memory: 8322 grad_norm: 4.1022 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3164 loss: 1.3164 2022/08/01 00:46:22 - mmengine - INFO - Epoch(train) [41][360/940] lr: 1.0000e-03 eta: 10:13:10 time: 0.5198 data_time: 0.0400 memory: 8322 grad_norm: 4.1437 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4709 loss: 1.4709 2022/08/01 00:46:39 - mmengine - INFO - Epoch(train) [41][380/940] lr: 1.0000e-03 eta: 10:13:02 time: 0.8239 data_time: 0.0324 memory: 8322 grad_norm: 4.0960 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/08/01 00:46:50 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:46:50 - mmengine - INFO - Epoch(train) [41][400/940] lr: 1.0000e-03 eta: 10:12:46 time: 0.5684 data_time: 0.0343 memory: 8322 grad_norm: 4.0621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3141 loss: 1.3141 2022/08/01 00:47:04 - mmengine - INFO - Epoch(train) [41][420/940] lr: 1.0000e-03 eta: 10:12:35 time: 0.7234 data_time: 0.0288 memory: 8322 grad_norm: 4.0762 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3659 loss: 1.3659 2022/08/01 00:47:16 - mmengine - INFO - Epoch(train) [41][440/940] lr: 1.0000e-03 eta: 10:12:19 time: 0.5643 data_time: 0.0434 memory: 8322 grad_norm: 4.0561 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2424 loss: 1.2424 2022/08/01 00:47:30 - mmengine - INFO - Epoch(train) [41][460/940] lr: 1.0000e-03 eta: 10:12:08 time: 0.7189 data_time: 0.0336 memory: 8322 grad_norm: 4.0896 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2687 loss: 1.2687 2022/08/01 00:47:41 - mmengine - INFO - Epoch(train) [41][480/940] lr: 1.0000e-03 eta: 10:11:51 time: 0.5280 data_time: 0.0423 memory: 8322 grad_norm: 4.1189 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3991 loss: 1.3991 2022/08/01 00:47:55 - mmengine - INFO - Epoch(train) [41][500/940] lr: 1.0000e-03 eta: 10:11:40 time: 0.7285 data_time: 0.0392 memory: 8322 grad_norm: 4.0035 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2089 loss: 1.2089 2022/08/01 00:48:07 - mmengine - INFO - Epoch(train) [41][520/940] lr: 1.0000e-03 eta: 10:11:24 time: 0.5748 data_time: 0.0311 memory: 8322 grad_norm: 4.0878 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2886 loss: 1.2886 2022/08/01 00:48:21 - mmengine - INFO - Epoch(train) [41][540/940] lr: 1.0000e-03 eta: 10:11:13 time: 0.7228 data_time: 0.1005 memory: 8322 grad_norm: 4.1561 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3381 loss: 1.3381 2022/08/01 00:48:32 - mmengine - INFO - Epoch(train) [41][560/940] lr: 1.0000e-03 eta: 10:10:57 time: 0.5530 data_time: 0.0582 memory: 8322 grad_norm: 4.1082 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3338 loss: 1.3338 2022/08/01 00:48:47 - mmengine - INFO - Epoch(train) [41][580/940] lr: 1.0000e-03 eta: 10:10:46 time: 0.7279 data_time: 0.0342 memory: 8322 grad_norm: 4.1471 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3788 loss: 1.3788 2022/08/01 00:48:58 - mmengine - INFO - Epoch(train) [41][600/940] lr: 1.0000e-03 eta: 10:10:30 time: 0.5462 data_time: 0.0316 memory: 8322 grad_norm: 4.1145 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3848 loss: 1.3848 2022/08/01 00:49:12 - mmengine - INFO - Epoch(train) [41][620/940] lr: 1.0000e-03 eta: 10:10:18 time: 0.7221 data_time: 0.0342 memory: 8322 grad_norm: 4.0214 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2868 loss: 1.2868 2022/08/01 00:49:23 - mmengine - INFO - Epoch(train) [41][640/940] lr: 1.0000e-03 eta: 10:10:03 time: 0.5652 data_time: 0.0302 memory: 8322 grad_norm: 3.9496 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2438 loss: 1.2438 2022/08/01 00:49:38 - mmengine - INFO - Epoch(train) [41][660/940] lr: 1.0000e-03 eta: 10:09:52 time: 0.7446 data_time: 0.0731 memory: 8322 grad_norm: 4.0755 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2232 loss: 1.2232 2022/08/01 00:49:50 - mmengine - INFO - Epoch(train) [41][680/940] lr: 1.0000e-03 eta: 10:09:37 time: 0.6064 data_time: 0.0420 memory: 8322 grad_norm: 4.0123 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.3344 loss: 1.3344 2022/08/01 00:50:03 - mmengine - INFO - Epoch(train) [41][700/940] lr: 1.0000e-03 eta: 10:09:23 time: 0.6211 data_time: 0.0314 memory: 8322 grad_norm: 4.0465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3135 loss: 1.3135 2022/08/01 00:50:16 - mmengine - INFO - Epoch(train) [41][720/940] lr: 1.0000e-03 eta: 10:09:11 time: 0.6761 data_time: 0.0340 memory: 8322 grad_norm: 4.0718 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2304 loss: 1.2304 2022/08/01 00:50:28 - mmengine - INFO - Epoch(train) [41][740/940] lr: 1.0000e-03 eta: 10:08:56 time: 0.6010 data_time: 0.0349 memory: 8322 grad_norm: 4.0757 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3219 loss: 1.3219 2022/08/01 00:50:42 - mmengine - INFO - Epoch(train) [41][760/940] lr: 1.0000e-03 eta: 10:08:44 time: 0.6927 data_time: 0.0358 memory: 8322 grad_norm: 4.0964 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2451 loss: 1.2451 2022/08/01 00:50:55 - mmengine - INFO - Epoch(train) [41][780/940] lr: 1.0000e-03 eta: 10:08:31 time: 0.6469 data_time: 0.0386 memory: 8322 grad_norm: 3.9811 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2764 loss: 1.2764 2022/08/01 00:51:08 - mmengine - INFO - Epoch(train) [41][800/940] lr: 1.0000e-03 eta: 10:08:17 time: 0.6456 data_time: 0.0473 memory: 8322 grad_norm: 4.0420 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3172 loss: 1.3172 2022/08/01 00:51:23 - mmengine - INFO - Epoch(train) [41][820/940] lr: 1.0000e-03 eta: 10:08:06 time: 0.7257 data_time: 0.0290 memory: 8322 grad_norm: 4.0827 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3188 loss: 1.3188 2022/08/01 00:51:33 - mmengine - INFO - Epoch(train) [41][840/940] lr: 1.0000e-03 eta: 10:07:49 time: 0.5345 data_time: 0.0371 memory: 8322 grad_norm: 4.0722 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3215 loss: 1.3215 2022/08/01 00:51:47 - mmengine - INFO - Epoch(train) [41][860/940] lr: 1.0000e-03 eta: 10:07:37 time: 0.6792 data_time: 0.0357 memory: 8322 grad_norm: 4.1536 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2996 loss: 1.2996 2022/08/01 00:51:59 - mmengine - INFO - Epoch(train) [41][880/940] lr: 1.0000e-03 eta: 10:07:23 time: 0.6231 data_time: 0.0375 memory: 8322 grad_norm: 4.0970 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3383 loss: 1.3383 2022/08/01 00:52:13 - mmengine - INFO - Epoch(train) [41][900/940] lr: 1.0000e-03 eta: 10:07:11 time: 0.6939 data_time: 0.0325 memory: 8322 grad_norm: 4.1340 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2764 loss: 1.2764 2022/08/01 00:52:25 - mmengine - INFO - Epoch(train) [41][920/940] lr: 1.0000e-03 eta: 10:06:56 time: 0.6015 data_time: 0.0386 memory: 8322 grad_norm: 4.0526 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3476 loss: 1.3476 2022/08/01 00:52:35 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:52:35 - mmengine - INFO - Epoch(train) [41][940/940] lr: 1.0000e-03 eta: 10:06:38 time: 0.4969 data_time: 0.0229 memory: 8322 grad_norm: 4.2436 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.3103 loss: 1.3103 2022/08/01 00:52:49 - mmengine - INFO - Epoch(val) [41][20/78] eta: 0:00:38 time: 0.6589 data_time: 0.5960 memory: 1463 2022/08/01 00:52:58 - mmengine - INFO - Epoch(val) [41][40/78] eta: 0:00:17 time: 0.4626 data_time: 0.3821 memory: 1463 2022/08/01 00:53:10 - mmengine - INFO - Epoch(val) [41][60/78] eta: 0:00:11 time: 0.6199 data_time: 0.5539 memory: 1463 2022/08/01 00:53:21 - mmengine - INFO - Epoch(val) [41][78/78] acc/top1: 0.6814 acc/top5: 0.8788 acc/mean1: 0.6813 2022/08/01 00:53:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_28.pth is removed 2022/08/01 00:53:22 - mmengine - INFO - The best checkpoint with 0.6814 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/08/01 00:53:38 - mmengine - INFO - Epoch(train) [42][20/940] lr: 1.0000e-03 eta: 10:06:28 time: 0.7684 data_time: 0.5662 memory: 8322 grad_norm: 4.0881 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2450 loss: 1.2450 2022/08/01 00:53:49 - mmengine - INFO - Epoch(train) [42][40/940] lr: 1.0000e-03 eta: 10:06:13 time: 0.5800 data_time: 0.3948 memory: 8322 grad_norm: 4.0343 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3693 loss: 1.3693 2022/08/01 00:54:03 - mmengine - INFO - Epoch(train) [42][60/940] lr: 1.0000e-03 eta: 10:06:01 time: 0.6925 data_time: 0.4994 memory: 8322 grad_norm: 4.1128 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2445 loss: 1.2445 2022/08/01 00:54:15 - mmengine - INFO - Epoch(train) [42][80/940] lr: 1.0000e-03 eta: 10:05:46 time: 0.5977 data_time: 0.3554 memory: 8322 grad_norm: 4.0812 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2413 loss: 1.2413 2022/08/01 00:54:29 - mmengine - INFO - Epoch(train) [42][100/940] lr: 1.0000e-03 eta: 10:05:35 time: 0.7126 data_time: 0.2657 memory: 8322 grad_norm: 4.1128 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3432 loss: 1.3432 2022/08/01 00:54:40 - mmengine - INFO - Epoch(train) [42][120/940] lr: 1.0000e-03 eta: 10:05:18 time: 0.5463 data_time: 0.1828 memory: 8322 grad_norm: 4.0288 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1311 loss: 1.1311 2022/08/01 00:54:55 - mmengine - INFO - Epoch(train) [42][140/940] lr: 1.0000e-03 eta: 10:05:07 time: 0.7207 data_time: 0.1032 memory: 8322 grad_norm: 4.0868 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1539 loss: 1.1539 2022/08/01 00:55:07 - mmengine - INFO - Epoch(train) [42][160/940] lr: 1.0000e-03 eta: 10:04:53 time: 0.6394 data_time: 0.0458 memory: 8322 grad_norm: 4.0434 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2067 loss: 1.2067 2022/08/01 00:55:21 - mmengine - INFO - Epoch(train) [42][180/940] lr: 1.0000e-03 eta: 10:04:42 time: 0.7033 data_time: 0.1409 memory: 8322 grad_norm: 4.0476 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2432 loss: 1.2432 2022/08/01 00:55:33 - mmengine - INFO - Epoch(train) [42][200/940] lr: 1.0000e-03 eta: 10:04:26 time: 0.5519 data_time: 0.0519 memory: 8322 grad_norm: 4.1296 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2842 loss: 1.2842 2022/08/01 00:55:46 - mmengine - INFO - Epoch(train) [42][220/940] lr: 1.0000e-03 eta: 10:04:13 time: 0.6895 data_time: 0.0797 memory: 8322 grad_norm: 4.0772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2407 loss: 1.2407 2022/08/01 00:55:59 - mmengine - INFO - Epoch(train) [42][240/940] lr: 1.0000e-03 eta: 10:04:00 time: 0.6558 data_time: 0.1062 memory: 8322 grad_norm: 4.1046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1679 loss: 1.1679 2022/08/01 00:56:12 - mmengine - INFO - Epoch(train) [42][260/940] lr: 1.0000e-03 eta: 10:03:46 time: 0.6178 data_time: 0.1323 memory: 8322 grad_norm: 4.1235 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2495 loss: 1.2495 2022/08/01 00:56:24 - mmengine - INFO - Epoch(train) [42][280/940] lr: 1.0000e-03 eta: 10:03:32 time: 0.6230 data_time: 0.1619 memory: 8322 grad_norm: 4.1190 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3269 loss: 1.3269 2022/08/01 00:56:38 - mmengine - INFO - Epoch(train) [42][300/940] lr: 1.0000e-03 eta: 10:03:20 time: 0.6795 data_time: 0.1504 memory: 8322 grad_norm: 4.0554 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2504 loss: 1.2504 2022/08/01 00:56:50 - mmengine - INFO - Epoch(train) [42][320/940] lr: 1.0000e-03 eta: 10:03:04 time: 0.5879 data_time: 0.1756 memory: 8322 grad_norm: 4.0878 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.3416 loss: 1.3416 2022/08/01 00:57:04 - mmengine - INFO - Epoch(train) [42][340/940] lr: 1.0000e-03 eta: 10:02:53 time: 0.6985 data_time: 0.1207 memory: 8322 grad_norm: 3.9814 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1569 loss: 1.1569 2022/08/01 00:57:16 - mmengine - INFO - Epoch(train) [42][360/940] lr: 1.0000e-03 eta: 10:02:38 time: 0.6125 data_time: 0.0354 memory: 8322 grad_norm: 4.1442 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1543 loss: 1.1543 2022/08/01 00:57:30 - mmengine - INFO - Epoch(train) [42][380/940] lr: 1.0000e-03 eta: 10:02:27 time: 0.7183 data_time: 0.0347 memory: 8322 grad_norm: 4.0531 top1_acc: 0.6562 top5_acc: 0.7188 loss_cls: 1.2634 loss: 1.2634 2022/08/01 00:57:41 - mmengine - INFO - Epoch(train) [42][400/940] lr: 1.0000e-03 eta: 10:02:11 time: 0.5447 data_time: 0.0352 memory: 8322 grad_norm: 4.1129 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3059 loss: 1.3059 2022/08/01 00:57:55 - mmengine - INFO - Epoch(train) [42][420/940] lr: 1.0000e-03 eta: 10:01:59 time: 0.7146 data_time: 0.0364 memory: 8322 grad_norm: 4.1147 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1860 loss: 1.1860 2022/08/01 00:58:06 - mmengine - INFO - Epoch(train) [42][440/940] lr: 1.0000e-03 eta: 10:01:43 time: 0.5501 data_time: 0.0390 memory: 8322 grad_norm: 4.0324 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2696 loss: 1.2696 2022/08/01 00:58:22 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 00:58:22 - mmengine - INFO - Epoch(train) [42][460/940] lr: 1.0000e-03 eta: 10:01:33 time: 0.7712 data_time: 0.0418 memory: 8322 grad_norm: 4.0619 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1684 loss: 1.1684 2022/08/01 00:58:33 - mmengine - INFO - Epoch(train) [42][480/940] lr: 1.0000e-03 eta: 10:01:16 time: 0.5329 data_time: 0.0269 memory: 8322 grad_norm: 4.0713 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2193 loss: 1.2193 2022/08/01 00:58:48 - mmengine - INFO - Epoch(train) [42][500/940] lr: 1.0000e-03 eta: 10:01:07 time: 0.7874 data_time: 0.0449 memory: 8322 grad_norm: 4.1084 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2734 loss: 1.2734 2022/08/01 00:58:59 - mmengine - INFO - Epoch(train) [42][520/940] lr: 1.0000e-03 eta: 10:00:51 time: 0.5607 data_time: 0.0276 memory: 8322 grad_norm: 4.1245 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2300 loss: 1.2300 2022/08/01 00:59:14 - mmengine - INFO - Epoch(train) [42][540/940] lr: 1.0000e-03 eta: 10:00:40 time: 0.7097 data_time: 0.0341 memory: 8322 grad_norm: 4.1026 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3010 loss: 1.3010 2022/08/01 00:59:25 - mmengine - INFO - Epoch(train) [42][560/940] lr: 1.0000e-03 eta: 10:00:23 time: 0.5494 data_time: 0.0271 memory: 8322 grad_norm: 4.1203 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3056 loss: 1.3056 2022/08/01 00:59:38 - mmengine - INFO - Epoch(train) [42][580/940] lr: 1.0000e-03 eta: 10:00:11 time: 0.6900 data_time: 0.0351 memory: 8322 grad_norm: 4.1146 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1526 loss: 1.1526 2022/08/01 00:59:51 - mmengine - INFO - Epoch(train) [42][600/940] lr: 1.0000e-03 eta: 9:59:57 time: 0.6178 data_time: 0.0310 memory: 8322 grad_norm: 4.1261 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3225 loss: 1.3225 2022/08/01 01:00:05 - mmengine - INFO - Epoch(train) [42][620/940] lr: 1.0000e-03 eta: 9:59:46 time: 0.7204 data_time: 0.0347 memory: 8322 grad_norm: 4.1849 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2292 loss: 1.2292 2022/08/01 01:00:17 - mmengine - INFO - Epoch(train) [42][640/940] lr: 1.0000e-03 eta: 9:59:31 time: 0.5965 data_time: 0.0293 memory: 8322 grad_norm: 4.1542 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3233 loss: 1.3233 2022/08/01 01:00:31 - mmengine - INFO - Epoch(train) [42][660/940] lr: 1.0000e-03 eta: 9:59:19 time: 0.7013 data_time: 0.0386 memory: 8322 grad_norm: 4.1057 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2042 loss: 1.2042 2022/08/01 01:00:43 - mmengine - INFO - Epoch(train) [42][680/940] lr: 1.0000e-03 eta: 9:59:04 time: 0.5715 data_time: 0.0326 memory: 8322 grad_norm: 4.1073 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/08/01 01:00:57 - mmengine - INFO - Epoch(train) [42][700/940] lr: 1.0000e-03 eta: 9:58:53 time: 0.7382 data_time: 0.0382 memory: 8322 grad_norm: 4.1755 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2967 loss: 1.2967 2022/08/01 01:01:09 - mmengine - INFO - Epoch(train) [42][720/940] lr: 1.0000e-03 eta: 9:58:38 time: 0.5872 data_time: 0.0283 memory: 8322 grad_norm: 4.0982 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3002 loss: 1.3002 2022/08/01 01:01:23 - mmengine - INFO - Epoch(train) [42][740/940] lr: 1.0000e-03 eta: 9:58:25 time: 0.6788 data_time: 0.0334 memory: 8322 grad_norm: 4.1199 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.3470 loss: 1.3470 2022/08/01 01:01:34 - mmengine - INFO - Epoch(train) [42][760/940] lr: 1.0000e-03 eta: 9:58:10 time: 0.5719 data_time: 0.0285 memory: 8322 grad_norm: 4.0800 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2418 loss: 1.2418 2022/08/01 01:01:49 - mmengine - INFO - Epoch(train) [42][780/940] lr: 1.0000e-03 eta: 9:57:59 time: 0.7528 data_time: 0.0347 memory: 8322 grad_norm: 3.9880 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.3115 loss: 1.3115 2022/08/01 01:02:00 - mmengine - INFO - Epoch(train) [42][800/940] lr: 1.0000e-03 eta: 9:57:43 time: 0.5352 data_time: 0.0340 memory: 8322 grad_norm: 4.1025 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1496 loss: 1.1496 2022/08/01 01:02:15 - mmengine - INFO - Epoch(train) [42][820/940] lr: 1.0000e-03 eta: 9:57:32 time: 0.7391 data_time: 0.0397 memory: 8322 grad_norm: 4.0769 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3071 loss: 1.3071 2022/08/01 01:02:25 - mmengine - INFO - Epoch(train) [42][840/940] lr: 1.0000e-03 eta: 9:57:15 time: 0.5206 data_time: 0.0297 memory: 8322 grad_norm: 4.1019 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3010 loss: 1.3010 2022/08/01 01:02:40 - mmengine - INFO - Epoch(train) [42][860/940] lr: 1.0000e-03 eta: 9:57:05 time: 0.7473 data_time: 0.0398 memory: 8322 grad_norm: 4.1251 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2375 loss: 1.2375 2022/08/01 01:02:50 - mmengine - INFO - Epoch(train) [42][880/940] lr: 1.0000e-03 eta: 9:56:47 time: 0.4792 data_time: 0.0297 memory: 8322 grad_norm: 4.1485 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2944 loss: 1.2944 2022/08/01 01:03:04 - mmengine - INFO - Epoch(train) [42][900/940] lr: 1.0000e-03 eta: 9:56:35 time: 0.7133 data_time: 0.0356 memory: 8322 grad_norm: 4.1793 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2772 loss: 1.2772 2022/08/01 01:03:16 - mmengine - INFO - Epoch(train) [42][920/940] lr: 1.0000e-03 eta: 9:56:20 time: 0.5965 data_time: 0.0290 memory: 8322 grad_norm: 4.1903 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3695 loss: 1.3695 2022/08/01 01:03:29 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:03:29 - mmengine - INFO - Epoch(train) [42][940/940] lr: 1.0000e-03 eta: 9:56:07 time: 0.6428 data_time: 0.0261 memory: 8322 grad_norm: 4.2183 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2540 loss: 1.2540 2022/08/01 01:03:29 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/01 01:03:45 - mmengine - INFO - Epoch(val) [42][20/78] eta: 0:00:39 time: 0.6880 data_time: 0.6261 memory: 1463 2022/08/01 01:03:54 - mmengine - INFO - Epoch(val) [42][40/78] eta: 0:00:15 time: 0.4198 data_time: 0.3586 memory: 1463 2022/08/01 01:04:06 - mmengine - INFO - Epoch(val) [42][60/78] eta: 0:00:11 time: 0.6455 data_time: 0.5802 memory: 1463 2022/08/01 01:04:16 - mmengine - INFO - Epoch(val) [42][78/78] acc/top1: 0.6819 acc/top5: 0.8810 acc/mean1: 0.6818 2022/08/01 01:04:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_42.pth is removed 2022/08/01 01:04:18 - mmengine - INFO - The best checkpoint with 0.6819 acc/top1 at 43 epoch is saved to best_acc/top1_epoch_43.pth. 2022/08/01 01:04:34 - mmengine - INFO - Epoch(train) [43][20/940] lr: 1.0000e-03 eta: 9:55:58 time: 0.8099 data_time: 0.5916 memory: 8322 grad_norm: 4.0453 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.2315 loss: 1.2315 2022/08/01 01:04:45 - mmengine - INFO - Epoch(train) [43][40/940] lr: 1.0000e-03 eta: 9:55:42 time: 0.5551 data_time: 0.3137 memory: 8322 grad_norm: 4.0844 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3255 loss: 1.3255 2022/08/01 01:05:00 - mmengine - INFO - Epoch(train) [43][60/940] lr: 1.0000e-03 eta: 9:55:31 time: 0.7313 data_time: 0.4693 memory: 8322 grad_norm: 4.0775 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.2252 loss: 1.2252 2022/08/01 01:05:11 - mmengine - INFO - Epoch(train) [43][80/940] lr: 1.0000e-03 eta: 9:55:15 time: 0.5517 data_time: 0.2543 memory: 8322 grad_norm: 4.1167 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2479 loss: 1.2479 2022/08/01 01:05:26 - mmengine - INFO - Epoch(train) [43][100/940] lr: 1.0000e-03 eta: 9:55:04 time: 0.7519 data_time: 0.3774 memory: 8322 grad_norm: 4.0098 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2266 loss: 1.2266 2022/08/01 01:05:38 - mmengine - INFO - Epoch(train) [43][120/940] lr: 1.0000e-03 eta: 9:54:50 time: 0.6047 data_time: 0.2517 memory: 8322 grad_norm: 4.2214 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2167 loss: 1.2167 2022/08/01 01:05:51 - mmengine - INFO - Epoch(train) [43][140/940] lr: 1.0000e-03 eta: 9:54:37 time: 0.6699 data_time: 0.2625 memory: 8322 grad_norm: 4.1191 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1968 loss: 1.1968 2022/08/01 01:06:02 - mmengine - INFO - Epoch(train) [43][160/940] lr: 1.0000e-03 eta: 9:54:21 time: 0.5380 data_time: 0.2738 memory: 8322 grad_norm: 4.1304 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3078 loss: 1.3078 2022/08/01 01:06:17 - mmengine - INFO - Epoch(train) [43][180/940] lr: 1.0000e-03 eta: 9:54:11 time: 0.7713 data_time: 0.4299 memory: 8322 grad_norm: 3.9634 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/08/01 01:06:29 - mmengine - INFO - Epoch(train) [43][200/940] lr: 1.0000e-03 eta: 9:53:56 time: 0.5764 data_time: 0.1687 memory: 8322 grad_norm: 4.0422 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1414 loss: 1.1414 2022/08/01 01:06:43 - mmengine - INFO - Epoch(train) [43][220/940] lr: 1.0000e-03 eta: 9:53:44 time: 0.6983 data_time: 0.1724 memory: 8322 grad_norm: 4.1540 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2309 loss: 1.2309 2022/08/01 01:06:54 - mmengine - INFO - Epoch(train) [43][240/940] lr: 1.0000e-03 eta: 9:53:28 time: 0.5676 data_time: 0.1484 memory: 8322 grad_norm: 4.1788 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3303 loss: 1.3303 2022/08/01 01:07:09 - mmengine - INFO - Epoch(train) [43][260/940] lr: 1.0000e-03 eta: 9:53:17 time: 0.7333 data_time: 0.0429 memory: 8322 grad_norm: 4.0995 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2394 loss: 1.2394 2022/08/01 01:07:20 - mmengine - INFO - Epoch(train) [43][280/940] lr: 1.0000e-03 eta: 9:53:02 time: 0.5756 data_time: 0.0438 memory: 8322 grad_norm: 4.0890 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1527 loss: 1.1527 2022/08/01 01:07:35 - mmengine - INFO - Epoch(train) [43][300/940] lr: 1.0000e-03 eta: 9:52:51 time: 0.7455 data_time: 0.0899 memory: 8322 grad_norm: 4.1935 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2057 loss: 1.2057 2022/08/01 01:07:46 - mmengine - INFO - Epoch(train) [43][320/940] lr: 1.0000e-03 eta: 9:52:35 time: 0.5324 data_time: 0.0333 memory: 8322 grad_norm: 4.1026 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2782 loss: 1.2782 2022/08/01 01:08:01 - mmengine - INFO - Epoch(train) [43][340/940] lr: 1.0000e-03 eta: 9:52:24 time: 0.7460 data_time: 0.0478 memory: 8322 grad_norm: 4.1713 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3377 loss: 1.3377 2022/08/01 01:08:12 - mmengine - INFO - Epoch(train) [43][360/940] lr: 1.0000e-03 eta: 9:52:08 time: 0.5554 data_time: 0.0436 memory: 8322 grad_norm: 4.1694 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3233 loss: 1.3233 2022/08/01 01:08:27 - mmengine - INFO - Epoch(train) [43][380/940] lr: 1.0000e-03 eta: 9:51:57 time: 0.7295 data_time: 0.0365 memory: 8322 grad_norm: 4.1398 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1898 loss: 1.1898 2022/08/01 01:08:38 - mmengine - INFO - Epoch(train) [43][400/940] lr: 1.0000e-03 eta: 9:51:41 time: 0.5597 data_time: 0.0369 memory: 8322 grad_norm: 4.0986 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/08/01 01:08:52 - mmengine - INFO - Epoch(train) [43][420/940] lr: 1.0000e-03 eta: 9:51:29 time: 0.7052 data_time: 0.0425 memory: 8322 grad_norm: 4.1213 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1521 loss: 1.1521 2022/08/01 01:09:03 - mmengine - INFO - Epoch(train) [43][440/940] lr: 1.0000e-03 eta: 9:51:13 time: 0.5553 data_time: 0.0355 memory: 8322 grad_norm: 4.0640 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2223 loss: 1.2223 2022/08/01 01:09:17 - mmengine - INFO - Epoch(train) [43][460/940] lr: 1.0000e-03 eta: 9:51:02 time: 0.7221 data_time: 0.0379 memory: 8322 grad_norm: 4.0855 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2512 loss: 1.2512 2022/08/01 01:09:30 - mmengine - INFO - Epoch(train) [43][480/940] lr: 1.0000e-03 eta: 9:50:48 time: 0.6047 data_time: 0.0332 memory: 8322 grad_norm: 4.1947 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2159 loss: 1.2159 2022/08/01 01:09:44 - mmengine - INFO - Epoch(train) [43][500/940] lr: 1.0000e-03 eta: 9:50:36 time: 0.7262 data_time: 0.0362 memory: 8322 grad_norm: 4.0855 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2733 loss: 1.2733 2022/08/01 01:09:55 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:09:55 - mmengine - INFO - Epoch(train) [43][520/940] lr: 1.0000e-03 eta: 9:50:21 time: 0.5547 data_time: 0.0409 memory: 8322 grad_norm: 4.0944 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1983 loss: 1.1983 2022/08/01 01:10:09 - mmengine - INFO - Epoch(train) [43][540/940] lr: 1.0000e-03 eta: 9:50:08 time: 0.6882 data_time: 0.0385 memory: 8322 grad_norm: 4.0719 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2172 loss: 1.2172 2022/08/01 01:10:20 - mmengine - INFO - Epoch(train) [43][560/940] lr: 1.0000e-03 eta: 9:49:53 time: 0.5578 data_time: 0.0302 memory: 8322 grad_norm: 4.1723 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2631 loss: 1.2631 2022/08/01 01:10:35 - mmengine - INFO - Epoch(train) [43][580/940] lr: 1.0000e-03 eta: 9:49:42 time: 0.7681 data_time: 0.0365 memory: 8322 grad_norm: 4.1453 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2995 loss: 1.2995 2022/08/01 01:10:47 - mmengine - INFO - Epoch(train) [43][600/940] lr: 1.0000e-03 eta: 9:49:27 time: 0.5650 data_time: 0.0259 memory: 8322 grad_norm: 4.1042 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1519 loss: 1.1519 2022/08/01 01:11:01 - mmengine - INFO - Epoch(train) [43][620/940] lr: 1.0000e-03 eta: 9:49:15 time: 0.6934 data_time: 0.0343 memory: 8322 grad_norm: 4.1322 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2441 loss: 1.2441 2022/08/01 01:11:12 - mmengine - INFO - Epoch(train) [43][640/940] lr: 1.0000e-03 eta: 9:49:00 time: 0.5805 data_time: 0.0331 memory: 8322 grad_norm: 4.1143 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2244 loss: 1.2244 2022/08/01 01:11:27 - mmengine - INFO - Epoch(train) [43][660/940] lr: 1.0000e-03 eta: 9:48:49 time: 0.7602 data_time: 0.0442 memory: 8322 grad_norm: 4.2158 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2403 loss: 1.2403 2022/08/01 01:11:39 - mmengine - INFO - Epoch(train) [43][680/940] lr: 1.0000e-03 eta: 9:48:34 time: 0.5601 data_time: 0.0337 memory: 8322 grad_norm: 4.2220 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2244 loss: 1.2244 2022/08/01 01:11:53 - mmengine - INFO - Epoch(train) [43][700/940] lr: 1.0000e-03 eta: 9:48:23 time: 0.7367 data_time: 0.0353 memory: 8322 grad_norm: 4.1156 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.1940 loss: 1.1940 2022/08/01 01:12:05 - mmengine - INFO - Epoch(train) [43][720/940] lr: 1.0000e-03 eta: 9:48:07 time: 0.5616 data_time: 0.0379 memory: 8322 grad_norm: 4.1458 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3033 loss: 1.3033 2022/08/01 01:12:19 - mmengine - INFO - Epoch(train) [43][740/940] lr: 1.0000e-03 eta: 9:47:56 time: 0.7239 data_time: 0.0452 memory: 8322 grad_norm: 4.1543 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2546 loss: 1.2546 2022/08/01 01:12:30 - mmengine - INFO - Epoch(train) [43][760/940] lr: 1.0000e-03 eta: 9:47:40 time: 0.5428 data_time: 0.0319 memory: 8322 grad_norm: 4.2041 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2278 loss: 1.2278 2022/08/01 01:12:45 - mmengine - INFO - Epoch(train) [43][780/940] lr: 1.0000e-03 eta: 9:47:29 time: 0.7433 data_time: 0.0372 memory: 8322 grad_norm: 4.2039 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.2610 loss: 1.2610 2022/08/01 01:12:57 - mmengine - INFO - Epoch(train) [43][800/940] lr: 1.0000e-03 eta: 9:47:15 time: 0.6114 data_time: 0.0809 memory: 8322 grad_norm: 4.1878 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2018 loss: 1.2018 2022/08/01 01:13:11 - mmengine - INFO - Epoch(train) [43][820/940] lr: 1.0000e-03 eta: 9:47:02 time: 0.6818 data_time: 0.0701 memory: 8322 grad_norm: 4.1415 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0763 loss: 1.0763 2022/08/01 01:13:22 - mmengine - INFO - Epoch(train) [43][840/940] lr: 1.0000e-03 eta: 9:46:47 time: 0.5647 data_time: 0.1263 memory: 8322 grad_norm: 4.0624 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1329 loss: 1.1329 2022/08/01 01:13:36 - mmengine - INFO - Epoch(train) [43][860/940] lr: 1.0000e-03 eta: 9:46:35 time: 0.7224 data_time: 0.0495 memory: 8322 grad_norm: 4.1724 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2473 loss: 1.2473 2022/08/01 01:13:48 - mmengine - INFO - Epoch(train) [43][880/940] lr: 1.0000e-03 eta: 9:46:19 time: 0.5555 data_time: 0.0659 memory: 8322 grad_norm: 4.2366 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1531 loss: 1.1531 2022/08/01 01:14:02 - mmengine - INFO - Epoch(train) [43][900/940] lr: 1.0000e-03 eta: 9:46:09 time: 0.7394 data_time: 0.0322 memory: 8322 grad_norm: 4.2654 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2605 loss: 1.2605 2022/08/01 01:14:13 - mmengine - INFO - Epoch(train) [43][920/940] lr: 1.0000e-03 eta: 9:45:52 time: 0.5447 data_time: 0.0334 memory: 8322 grad_norm: 4.1370 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.1066 loss: 1.1066 2022/08/01 01:14:27 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:14:27 - mmengine - INFO - Epoch(train) [43][940/940] lr: 1.0000e-03 eta: 9:45:39 time: 0.6625 data_time: 0.0324 memory: 8322 grad_norm: 4.3700 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.2637 loss: 1.2637 2022/08/01 01:14:40 - mmengine - INFO - Epoch(val) [43][20/78] eta: 0:00:39 time: 0.6754 data_time: 0.6088 memory: 1463 2022/08/01 01:14:49 - mmengine - INFO - Epoch(val) [43][40/78] eta: 0:00:16 time: 0.4434 data_time: 0.3765 memory: 1463 2022/08/01 01:15:02 - mmengine - INFO - Epoch(val) [43][60/78] eta: 0:00:11 time: 0.6332 data_time: 0.5697 memory: 1463 2022/08/01 01:15:12 - mmengine - INFO - Epoch(val) [43][78/78] acc/top1: 0.6849 acc/top5: 0.8808 acc/mean1: 0.6848 2022/08/01 01:15:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_43.pth is removed 2022/08/01 01:15:13 - mmengine - INFO - The best checkpoint with 0.6849 acc/top1 at 44 epoch is saved to best_acc/top1_epoch_44.pth. 2022/08/01 01:15:31 - mmengine - INFO - Epoch(train) [44][20/940] lr: 1.0000e-03 eta: 9:45:32 time: 0.8840 data_time: 0.6111 memory: 8322 grad_norm: 4.0928 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2325 loss: 1.2325 2022/08/01 01:15:41 - mmengine - INFO - Epoch(train) [44][40/940] lr: 1.0000e-03 eta: 9:45:15 time: 0.5021 data_time: 0.2845 memory: 8322 grad_norm: 4.1256 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3174 loss: 1.3174 2022/08/01 01:15:55 - mmengine - INFO - Epoch(train) [44][60/940] lr: 1.0000e-03 eta: 9:45:03 time: 0.6949 data_time: 0.4607 memory: 8322 grad_norm: 4.1294 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/08/01 01:16:07 - mmengine - INFO - Epoch(train) [44][80/940] lr: 1.0000e-03 eta: 9:44:49 time: 0.6140 data_time: 0.3479 memory: 8322 grad_norm: 4.0745 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3062 loss: 1.3062 2022/08/01 01:16:21 - mmengine - INFO - Epoch(train) [44][100/940] lr: 1.0000e-03 eta: 9:44:37 time: 0.6930 data_time: 0.4798 memory: 8322 grad_norm: 4.1478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1772 loss: 1.1772 2022/08/01 01:16:33 - mmengine - INFO - Epoch(train) [44][120/940] lr: 1.0000e-03 eta: 9:44:21 time: 0.5723 data_time: 0.3520 memory: 8322 grad_norm: 4.0672 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2964 loss: 1.2964 2022/08/01 01:16:47 - mmengine - INFO - Epoch(train) [44][140/940] lr: 1.0000e-03 eta: 9:44:10 time: 0.7174 data_time: 0.3179 memory: 8322 grad_norm: 4.2535 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1847 loss: 1.1847 2022/08/01 01:16:59 - mmengine - INFO - Epoch(train) [44][160/940] lr: 1.0000e-03 eta: 9:43:56 time: 0.6060 data_time: 0.1344 memory: 8322 grad_norm: 4.0727 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1300 loss: 1.1300 2022/08/01 01:17:12 - mmengine - INFO - Epoch(train) [44][180/940] lr: 1.0000e-03 eta: 9:43:43 time: 0.6714 data_time: 0.0668 memory: 8322 grad_norm: 4.1567 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2040 loss: 1.2040 2022/08/01 01:17:25 - mmengine - INFO - Epoch(train) [44][200/940] lr: 1.0000e-03 eta: 9:43:29 time: 0.6231 data_time: 0.0373 memory: 8322 grad_norm: 4.1103 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2525 loss: 1.2525 2022/08/01 01:17:39 - mmengine - INFO - Epoch(train) [44][220/940] lr: 1.0000e-03 eta: 9:43:17 time: 0.7086 data_time: 0.1868 memory: 8322 grad_norm: 4.2008 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2574 loss: 1.2574 2022/08/01 01:17:50 - mmengine - INFO - Epoch(train) [44][240/940] lr: 1.0000e-03 eta: 9:43:01 time: 0.5360 data_time: 0.1737 memory: 8322 grad_norm: 4.2490 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2499 loss: 1.2499 2022/08/01 01:18:04 - mmengine - INFO - Epoch(train) [44][260/940] lr: 1.0000e-03 eta: 9:42:49 time: 0.7195 data_time: 0.2130 memory: 8322 grad_norm: 4.1212 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2384 loss: 1.2384 2022/08/01 01:18:15 - mmengine - INFO - Epoch(train) [44][280/940] lr: 1.0000e-03 eta: 9:42:33 time: 0.5428 data_time: 0.2845 memory: 8322 grad_norm: 4.1654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1719 loss: 1.1719 2022/08/01 01:18:30 - mmengine - INFO - Epoch(train) [44][300/940] lr: 1.0000e-03 eta: 9:42:23 time: 0.7537 data_time: 0.4881 memory: 8322 grad_norm: 4.2396 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2557 loss: 1.2557 2022/08/01 01:18:41 - mmengine - INFO - Epoch(train) [44][320/940] lr: 1.0000e-03 eta: 9:42:07 time: 0.5539 data_time: 0.2825 memory: 8322 grad_norm: 4.1878 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2027 loss: 1.2027 2022/08/01 01:18:55 - mmengine - INFO - Epoch(train) [44][340/940] lr: 1.0000e-03 eta: 9:41:55 time: 0.7053 data_time: 0.2934 memory: 8322 grad_norm: 4.1708 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0966 loss: 1.0966 2022/08/01 01:19:07 - mmengine - INFO - Epoch(train) [44][360/940] lr: 1.0000e-03 eta: 9:41:40 time: 0.5791 data_time: 0.2193 memory: 8322 grad_norm: 4.0256 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2368 loss: 1.2368 2022/08/01 01:19:21 - mmengine - INFO - Epoch(train) [44][380/940] lr: 1.0000e-03 eta: 9:41:29 time: 0.7218 data_time: 0.3018 memory: 8322 grad_norm: 4.1782 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3314 loss: 1.3314 2022/08/01 01:19:33 - mmengine - INFO - Epoch(train) [44][400/940] lr: 1.0000e-03 eta: 9:41:13 time: 0.5581 data_time: 0.1558 memory: 8322 grad_norm: 4.1770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2767 loss: 1.2767 2022/08/01 01:19:47 - mmengine - INFO - Epoch(train) [44][420/940] lr: 1.0000e-03 eta: 9:41:02 time: 0.7476 data_time: 0.1628 memory: 8322 grad_norm: 4.0889 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.2435 loss: 1.2435 2022/08/01 01:20:01 - mmengine - INFO - Epoch(train) [44][440/940] lr: 1.0000e-03 eta: 9:40:50 time: 0.6830 data_time: 0.1165 memory: 8322 grad_norm: 4.1438 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2053 loss: 1.2053 2022/08/01 01:20:15 - mmengine - INFO - Epoch(train) [44][460/940] lr: 1.0000e-03 eta: 9:40:38 time: 0.6945 data_time: 0.1062 memory: 8322 grad_norm: 4.1330 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2390 loss: 1.2390 2022/08/01 01:20:27 - mmengine - INFO - Epoch(train) [44][480/940] lr: 1.0000e-03 eta: 9:40:23 time: 0.5786 data_time: 0.0522 memory: 8322 grad_norm: 4.1647 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2636 loss: 1.2636 2022/08/01 01:20:41 - mmengine - INFO - Epoch(train) [44][500/940] lr: 1.0000e-03 eta: 9:40:11 time: 0.7303 data_time: 0.0342 memory: 8322 grad_norm: 4.1721 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1662 loss: 1.1662 2022/08/01 01:20:53 - mmengine - INFO - Epoch(train) [44][520/940] lr: 1.0000e-03 eta: 9:39:57 time: 0.5959 data_time: 0.0365 memory: 8322 grad_norm: 4.1352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1060 loss: 1.1060 2022/08/01 01:21:07 - mmengine - INFO - Epoch(train) [44][540/940] lr: 1.0000e-03 eta: 9:39:44 time: 0.6786 data_time: 0.0388 memory: 8322 grad_norm: 4.1248 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2158 loss: 1.2158 2022/08/01 01:21:18 - mmengine - INFO - Epoch(train) [44][560/940] lr: 1.0000e-03 eta: 9:39:29 time: 0.5712 data_time: 0.0383 memory: 8322 grad_norm: 4.1548 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2018 loss: 1.2018 2022/08/01 01:21:32 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:21:32 - mmengine - INFO - Epoch(train) [44][580/940] lr: 1.0000e-03 eta: 9:39:17 time: 0.6846 data_time: 0.0335 memory: 8322 grad_norm: 4.2001 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2208 loss: 1.2208 2022/08/01 01:21:43 - mmengine - INFO - Epoch(train) [44][600/940] lr: 1.0000e-03 eta: 9:39:01 time: 0.5584 data_time: 0.0796 memory: 8322 grad_norm: 4.3081 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1319 loss: 1.1319 2022/08/01 01:21:57 - mmengine - INFO - Epoch(train) [44][620/940] lr: 1.0000e-03 eta: 9:38:49 time: 0.6969 data_time: 0.1070 memory: 8322 grad_norm: 4.1663 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2610 loss: 1.2610 2022/08/01 01:22:09 - mmengine - INFO - Epoch(train) [44][640/940] lr: 1.0000e-03 eta: 9:38:34 time: 0.5904 data_time: 0.1695 memory: 8322 grad_norm: 4.2938 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/08/01 01:22:22 - mmengine - INFO - Epoch(train) [44][660/940] lr: 1.0000e-03 eta: 9:38:21 time: 0.6620 data_time: 0.0979 memory: 8322 grad_norm: 4.1360 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1672 loss: 1.1672 2022/08/01 01:22:34 - mmengine - INFO - Epoch(train) [44][680/940] lr: 1.0000e-03 eta: 9:38:07 time: 0.6116 data_time: 0.0604 memory: 8322 grad_norm: 4.2485 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3730 loss: 1.3730 2022/08/01 01:22:48 - mmengine - INFO - Epoch(train) [44][700/940] lr: 1.0000e-03 eta: 9:37:54 time: 0.6738 data_time: 0.0719 memory: 8322 grad_norm: 4.2208 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2313 loss: 1.2313 2022/08/01 01:22:59 - mmengine - INFO - Epoch(train) [44][720/940] lr: 1.0000e-03 eta: 9:37:39 time: 0.5748 data_time: 0.0618 memory: 8322 grad_norm: 4.0915 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2099 loss: 1.2099 2022/08/01 01:23:13 - mmengine - INFO - Epoch(train) [44][740/940] lr: 1.0000e-03 eta: 9:37:27 time: 0.6859 data_time: 0.1747 memory: 8322 grad_norm: 4.2127 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1168 loss: 1.1168 2022/08/01 01:23:25 - mmengine - INFO - Epoch(train) [44][760/940] lr: 1.0000e-03 eta: 9:37:13 time: 0.6254 data_time: 0.0952 memory: 8322 grad_norm: 4.2704 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1823 loss: 1.1823 2022/08/01 01:23:38 - mmengine - INFO - Epoch(train) [44][780/940] lr: 1.0000e-03 eta: 9:36:59 time: 0.6381 data_time: 0.0828 memory: 8322 grad_norm: 4.0492 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1935 loss: 1.1935 2022/08/01 01:23:51 - mmengine - INFO - Epoch(train) [44][800/940] lr: 1.0000e-03 eta: 9:36:45 time: 0.6140 data_time: 0.1064 memory: 8322 grad_norm: 4.2457 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2109 loss: 1.2109 2022/08/01 01:24:04 - mmengine - INFO - Epoch(train) [44][820/940] lr: 1.0000e-03 eta: 9:36:32 time: 0.6530 data_time: 0.1892 memory: 8322 grad_norm: 4.2372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1599 loss: 1.1599 2022/08/01 01:24:18 - mmengine - INFO - Epoch(train) [44][840/940] lr: 1.0000e-03 eta: 9:36:21 time: 0.7285 data_time: 0.0568 memory: 8322 grad_norm: 4.1347 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3186 loss: 1.3186 2022/08/01 01:24:31 - mmengine - INFO - Epoch(train) [44][860/940] lr: 1.0000e-03 eta: 9:36:07 time: 0.6212 data_time: 0.0903 memory: 8322 grad_norm: 4.1987 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2780 loss: 1.2780 2022/08/01 01:24:45 - mmengine - INFO - Epoch(train) [44][880/940] lr: 1.0000e-03 eta: 9:35:55 time: 0.7215 data_time: 0.0325 memory: 8322 grad_norm: 4.2406 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2785 loss: 1.2785 2022/08/01 01:24:55 - mmengine - INFO - Epoch(train) [44][900/940] lr: 1.0000e-03 eta: 9:35:39 time: 0.5151 data_time: 0.0330 memory: 8322 grad_norm: 4.1636 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2420 loss: 1.2420 2022/08/01 01:25:11 - mmengine - INFO - Epoch(train) [44][920/940] lr: 1.0000e-03 eta: 9:35:28 time: 0.7738 data_time: 0.0421 memory: 8322 grad_norm: 4.2419 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3830 loss: 1.3830 2022/08/01 01:25:20 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:25:20 - mmengine - INFO - Epoch(train) [44][940/940] lr: 1.0000e-03 eta: 9:35:10 time: 0.4476 data_time: 0.0361 memory: 8322 grad_norm: 4.4407 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1972 loss: 1.1972 2022/08/01 01:25:33 - mmengine - INFO - Epoch(val) [44][20/78] eta: 0:00:38 time: 0.6708 data_time: 0.6048 memory: 1463 2022/08/01 01:25:42 - mmengine - INFO - Epoch(val) [44][40/78] eta: 0:00:16 time: 0.4379 data_time: 0.3720 memory: 1463 2022/08/01 01:25:55 - mmengine - INFO - Epoch(val) [44][60/78] eta: 0:00:12 time: 0.6686 data_time: 0.6043 memory: 1463 2022/08/01 01:26:05 - mmengine - INFO - Epoch(val) [44][78/78] acc/top1: 0.6867 acc/top5: 0.8816 acc/mean1: 0.6866 2022/08/01 01:26:06 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_44.pth is removed 2022/08/01 01:26:06 - mmengine - INFO - The best checkpoint with 0.6867 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/08/01 01:26:22 - mmengine - INFO - Epoch(train) [45][20/940] lr: 1.0000e-03 eta: 9:35:00 time: 0.7794 data_time: 0.5755 memory: 8322 grad_norm: 4.0445 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1699 loss: 1.1699 2022/08/01 01:26:33 - mmengine - INFO - Epoch(train) [45][40/940] lr: 1.0000e-03 eta: 9:34:45 time: 0.5669 data_time: 0.3160 memory: 8322 grad_norm: 4.1588 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2208 loss: 1.2208 2022/08/01 01:26:48 - mmengine - INFO - Epoch(train) [45][60/940] lr: 1.0000e-03 eta: 9:34:33 time: 0.7029 data_time: 0.3786 memory: 8322 grad_norm: 4.2700 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2218 loss: 1.2218 2022/08/01 01:26:59 - mmengine - INFO - Epoch(train) [45][80/940] lr: 1.0000e-03 eta: 9:34:17 time: 0.5561 data_time: 0.2852 memory: 8322 grad_norm: 4.2619 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2087 loss: 1.2087 2022/08/01 01:27:15 - mmengine - INFO - Epoch(train) [45][100/940] lr: 1.0000e-03 eta: 9:34:08 time: 0.7963 data_time: 0.4036 memory: 8322 grad_norm: 4.2249 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3120 loss: 1.3120 2022/08/01 01:27:25 - mmengine - INFO - Epoch(train) [45][120/940] lr: 1.0000e-03 eta: 9:33:52 time: 0.5413 data_time: 0.1603 memory: 8322 grad_norm: 4.1148 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2707 loss: 1.2707 2022/08/01 01:27:40 - mmengine - INFO - Epoch(train) [45][140/940] lr: 1.0000e-03 eta: 9:33:40 time: 0.7165 data_time: 0.1995 memory: 8322 grad_norm: 4.2453 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1661 loss: 1.1661 2022/08/01 01:27:50 - mmengine - INFO - Epoch(train) [45][160/940] lr: 1.0000e-03 eta: 9:33:24 time: 0.5382 data_time: 0.2008 memory: 8322 grad_norm: 4.1305 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2065 loss: 1.2065 2022/08/01 01:28:05 - mmengine - INFO - Epoch(train) [45][180/940] lr: 1.0000e-03 eta: 9:33:13 time: 0.7401 data_time: 0.3881 memory: 8322 grad_norm: 4.0957 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2428 loss: 1.2428 2022/08/01 01:28:16 - mmengine - INFO - Epoch(train) [45][200/940] lr: 1.0000e-03 eta: 9:32:57 time: 0.5470 data_time: 0.2076 memory: 8322 grad_norm: 4.1905 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2538 loss: 1.2538 2022/08/01 01:28:31 - mmengine - INFO - Epoch(train) [45][220/940] lr: 1.0000e-03 eta: 9:32:46 time: 0.7423 data_time: 0.3039 memory: 8322 grad_norm: 4.0828 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0589 loss: 1.0589 2022/08/01 01:28:43 - mmengine - INFO - Epoch(train) [45][240/940] lr: 1.0000e-03 eta: 9:32:31 time: 0.5818 data_time: 0.1061 memory: 8322 grad_norm: 4.2000 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2725 loss: 1.2725 2022/08/01 01:28:57 - mmengine - INFO - Epoch(train) [45][260/940] lr: 1.0000e-03 eta: 9:32:19 time: 0.6910 data_time: 0.2046 memory: 8322 grad_norm: 4.2442 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2981 loss: 1.2981 2022/08/01 01:29:08 - mmengine - INFO - Epoch(train) [45][280/940] lr: 1.0000e-03 eta: 9:32:04 time: 0.5656 data_time: 0.1563 memory: 8322 grad_norm: 4.2288 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3017 loss: 1.3017 2022/08/01 01:29:22 - mmengine - INFO - Epoch(train) [45][300/940] lr: 1.0000e-03 eta: 9:31:52 time: 0.7114 data_time: 0.2170 memory: 8322 grad_norm: 4.1434 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1901 loss: 1.1901 2022/08/01 01:29:33 - mmengine - INFO - Epoch(train) [45][320/940] lr: 1.0000e-03 eta: 9:31:36 time: 0.5560 data_time: 0.0851 memory: 8322 grad_norm: 4.1805 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2720 loss: 1.2720 2022/08/01 01:29:48 - mmengine - INFO - Epoch(train) [45][340/940] lr: 1.0000e-03 eta: 9:31:25 time: 0.7211 data_time: 0.0370 memory: 8322 grad_norm: 4.1589 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1654 loss: 1.1654 2022/08/01 01:29:59 - mmengine - INFO - Epoch(train) [45][360/940] lr: 1.0000e-03 eta: 9:31:10 time: 0.5913 data_time: 0.0463 memory: 8322 grad_norm: 4.1648 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3148 loss: 1.3148 2022/08/01 01:30:14 - mmengine - INFO - Epoch(train) [45][380/940] lr: 1.0000e-03 eta: 9:30:59 time: 0.7314 data_time: 0.0753 memory: 8322 grad_norm: 4.1223 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1556 loss: 1.1556 2022/08/01 01:30:26 - mmengine - INFO - Epoch(train) [45][400/940] lr: 1.0000e-03 eta: 9:30:44 time: 0.5931 data_time: 0.1470 memory: 8322 grad_norm: 4.1965 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3084 loss: 1.3084 2022/08/01 01:30:41 - mmengine - INFO - Epoch(train) [45][420/940] lr: 1.0000e-03 eta: 9:30:34 time: 0.7542 data_time: 0.2503 memory: 8322 grad_norm: 4.1392 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1889 loss: 1.1889 2022/08/01 01:30:52 - mmengine - INFO - Epoch(train) [45][440/940] lr: 1.0000e-03 eta: 9:30:17 time: 0.5308 data_time: 0.2014 memory: 8322 grad_norm: 4.1984 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3189 loss: 1.3189 2022/08/01 01:31:06 - mmengine - INFO - Epoch(train) [45][460/940] lr: 1.0000e-03 eta: 9:30:05 time: 0.6950 data_time: 0.2426 memory: 8322 grad_norm: 4.2009 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2763 loss: 1.2763 2022/08/01 01:31:17 - mmengine - INFO - Epoch(train) [45][480/940] lr: 1.0000e-03 eta: 9:29:50 time: 0.5660 data_time: 0.2313 memory: 8322 grad_norm: 4.0972 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2229 loss: 1.2229 2022/08/01 01:31:31 - mmengine - INFO - Epoch(train) [45][500/940] lr: 1.0000e-03 eta: 9:29:39 time: 0.7304 data_time: 0.4196 memory: 8322 grad_norm: 4.1663 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1729 loss: 1.1729 2022/08/01 01:31:42 - mmengine - INFO - Epoch(train) [45][520/940] lr: 1.0000e-03 eta: 9:29:23 time: 0.5439 data_time: 0.0965 memory: 8322 grad_norm: 4.2832 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2005 loss: 1.2005 2022/08/01 01:31:57 - mmengine - INFO - Epoch(train) [45][540/940] lr: 1.0000e-03 eta: 9:29:11 time: 0.7035 data_time: 0.1097 memory: 8322 grad_norm: 4.2301 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1413 loss: 1.1413 2022/08/01 01:32:07 - mmengine - INFO - Epoch(train) [45][560/940] lr: 1.0000e-03 eta: 9:28:55 time: 0.5332 data_time: 0.0705 memory: 8322 grad_norm: 4.3500 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2343 loss: 1.2343 2022/08/01 01:32:22 - mmengine - INFO - Epoch(train) [45][580/940] lr: 1.0000e-03 eta: 9:28:44 time: 0.7407 data_time: 0.1771 memory: 8322 grad_norm: 4.2249 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1726 loss: 1.1726 2022/08/01 01:32:33 - mmengine - INFO - Epoch(train) [45][600/940] lr: 1.0000e-03 eta: 9:28:28 time: 0.5445 data_time: 0.0868 memory: 8322 grad_norm: 4.1793 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2997 loss: 1.2997 2022/08/01 01:32:47 - mmengine - INFO - Epoch(train) [45][620/940] lr: 1.0000e-03 eta: 9:28:16 time: 0.7223 data_time: 0.1376 memory: 8322 grad_norm: 4.1936 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2347 loss: 1.2347 2022/08/01 01:32:59 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:32:59 - mmengine - INFO - Epoch(train) [45][640/940] lr: 1.0000e-03 eta: 9:28:01 time: 0.5753 data_time: 0.0560 memory: 8322 grad_norm: 4.1904 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1025 loss: 1.1025 2022/08/01 01:33:13 - mmengine - INFO - Epoch(train) [45][660/940] lr: 1.0000e-03 eta: 9:27:49 time: 0.6974 data_time: 0.0400 memory: 8322 grad_norm: 4.1886 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1033 loss: 1.1033 2022/08/01 01:33:25 - mmengine - INFO - Epoch(train) [45][680/940] lr: 1.0000e-03 eta: 9:27:35 time: 0.6076 data_time: 0.0467 memory: 8322 grad_norm: 4.1878 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2287 loss: 1.2287 2022/08/01 01:33:38 - mmengine - INFO - Epoch(train) [45][700/940] lr: 1.0000e-03 eta: 9:27:22 time: 0.6497 data_time: 0.0664 memory: 8322 grad_norm: 4.1892 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1296 loss: 1.1296 2022/08/01 01:33:51 - mmengine - INFO - Epoch(train) [45][720/940] lr: 1.0000e-03 eta: 9:27:08 time: 0.6398 data_time: 0.0871 memory: 8322 grad_norm: 4.1737 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.3437 loss: 1.3437 2022/08/01 01:34:05 - mmengine - INFO - Epoch(train) [45][740/940] lr: 1.0000e-03 eta: 9:26:57 time: 0.7148 data_time: 0.0398 memory: 8322 grad_norm: 4.2589 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0691 loss: 1.0691 2022/08/01 01:34:16 - mmengine - INFO - Epoch(train) [45][760/940] lr: 1.0000e-03 eta: 9:26:41 time: 0.5461 data_time: 0.0330 memory: 8322 grad_norm: 4.2154 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1494 loss: 1.1494 2022/08/01 01:34:30 - mmengine - INFO - Epoch(train) [45][780/940] lr: 1.0000e-03 eta: 9:26:29 time: 0.7119 data_time: 0.0382 memory: 8322 grad_norm: 4.2389 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1036 loss: 1.1036 2022/08/01 01:34:42 - mmengine - INFO - Epoch(train) [45][800/940] lr: 1.0000e-03 eta: 9:26:14 time: 0.5733 data_time: 0.0609 memory: 8322 grad_norm: 4.2085 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2714 loss: 1.2714 2022/08/01 01:34:55 - mmengine - INFO - Epoch(train) [45][820/940] lr: 1.0000e-03 eta: 9:26:01 time: 0.6716 data_time: 0.1412 memory: 8322 grad_norm: 4.2193 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2345 loss: 1.2345 2022/08/01 01:35:08 - mmengine - INFO - Epoch(train) [45][840/940] lr: 1.0000e-03 eta: 9:25:48 time: 0.6361 data_time: 0.2452 memory: 8322 grad_norm: 4.1805 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1599 loss: 1.1599 2022/08/01 01:35:21 - mmengine - INFO - Epoch(train) [45][860/940] lr: 1.0000e-03 eta: 9:25:35 time: 0.6802 data_time: 0.0732 memory: 8322 grad_norm: 4.1757 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3609 loss: 1.3609 2022/08/01 01:35:32 - mmengine - INFO - Epoch(train) [45][880/940] lr: 1.0000e-03 eta: 9:25:19 time: 0.5414 data_time: 0.0552 memory: 8322 grad_norm: 4.0954 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1350 loss: 1.1350 2022/08/01 01:35:47 - mmengine - INFO - Epoch(train) [45][900/940] lr: 1.0000e-03 eta: 9:25:08 time: 0.7149 data_time: 0.0502 memory: 8322 grad_norm: 4.1812 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2188 loss: 1.2188 2022/08/01 01:35:58 - mmengine - INFO - Epoch(train) [45][920/940] lr: 1.0000e-03 eta: 9:24:52 time: 0.5566 data_time: 0.0326 memory: 8322 grad_norm: 4.2366 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1726 loss: 1.1726 2022/08/01 01:36:11 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:36:11 - mmengine - INFO - Epoch(train) [45][940/940] lr: 1.0000e-03 eta: 9:24:39 time: 0.6463 data_time: 0.0463 memory: 8322 grad_norm: 4.5263 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.2429 loss: 1.2429 2022/08/01 01:36:11 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/01 01:36:26 - mmengine - INFO - Epoch(val) [45][20/78] eta: 0:00:39 time: 0.6786 data_time: 0.6167 memory: 1463 2022/08/01 01:36:34 - mmengine - INFO - Epoch(val) [45][40/78] eta: 0:00:16 time: 0.4248 data_time: 0.3596 memory: 1463 2022/08/01 01:36:47 - mmengine - INFO - Epoch(val) [45][60/78] eta: 0:00:11 time: 0.6452 data_time: 0.5832 memory: 1463 2022/08/01 01:36:57 - mmengine - INFO - Epoch(val) [45][78/78] acc/top1: 0.6863 acc/top5: 0.8826 acc/mean1: 0.6862 2022/08/01 01:37:13 - mmengine - INFO - Epoch(train) [46][20/940] lr: 1.0000e-03 eta: 9:24:30 time: 0.8357 data_time: 0.4552 memory: 8322 grad_norm: 4.2715 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1651 loss: 1.1651 2022/08/01 01:37:25 - mmengine - INFO - Epoch(train) [46][40/940] lr: 1.0000e-03 eta: 9:24:15 time: 0.5875 data_time: 0.1557 memory: 8322 grad_norm: 4.1456 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3166 loss: 1.3166 2022/08/01 01:37:39 - mmengine - INFO - Epoch(train) [46][60/940] lr: 1.0000e-03 eta: 9:24:03 time: 0.6771 data_time: 0.1769 memory: 8322 grad_norm: 4.1057 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2283 loss: 1.2283 2022/08/01 01:37:50 - mmengine - INFO - Epoch(train) [46][80/940] lr: 1.0000e-03 eta: 9:23:47 time: 0.5545 data_time: 0.1266 memory: 8322 grad_norm: 4.1516 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2785 loss: 1.2785 2022/08/01 01:38:05 - mmengine - INFO - Epoch(train) [46][100/940] lr: 1.0000e-03 eta: 9:23:36 time: 0.7556 data_time: 0.3524 memory: 8322 grad_norm: 4.1362 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2172 loss: 1.2172 2022/08/01 01:38:17 - mmengine - INFO - Epoch(train) [46][120/940] lr: 1.0000e-03 eta: 9:23:22 time: 0.5868 data_time: 0.2318 memory: 8322 grad_norm: 4.1286 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1784 loss: 1.1784 2022/08/01 01:38:32 - mmengine - INFO - Epoch(train) [46][140/940] lr: 1.0000e-03 eta: 9:23:11 time: 0.7432 data_time: 0.2488 memory: 8322 grad_norm: 4.3295 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2717 loss: 1.2717 2022/08/01 01:38:43 - mmengine - INFO - Epoch(train) [46][160/940] lr: 1.0000e-03 eta: 9:22:55 time: 0.5455 data_time: 0.2145 memory: 8322 grad_norm: 4.3258 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1758 loss: 1.1758 2022/08/01 01:38:57 - mmengine - INFO - Epoch(train) [46][180/940] lr: 1.0000e-03 eta: 9:22:43 time: 0.7055 data_time: 0.4765 memory: 8322 grad_norm: 4.2892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1280 loss: 1.1280 2022/08/01 01:39:08 - mmengine - INFO - Epoch(train) [46][200/940] lr: 1.0000e-03 eta: 9:22:28 time: 0.5616 data_time: 0.2775 memory: 8322 grad_norm: 4.3139 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.2585 loss: 1.2585 2022/08/01 01:39:23 - mmengine - INFO - Epoch(train) [46][220/940] lr: 1.0000e-03 eta: 9:22:18 time: 0.7787 data_time: 0.4902 memory: 8322 grad_norm: 4.1678 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1911 loss: 1.1911 2022/08/01 01:39:34 - mmengine - INFO - Epoch(train) [46][240/940] lr: 1.0000e-03 eta: 9:22:01 time: 0.5297 data_time: 0.3064 memory: 8322 grad_norm: 4.2625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1832 loss: 1.1832 2022/08/01 01:39:48 - mmengine - INFO - Epoch(train) [46][260/940] lr: 1.0000e-03 eta: 9:21:49 time: 0.6806 data_time: 0.4449 memory: 8322 grad_norm: 4.1416 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1715 loss: 1.1715 2022/08/01 01:39:59 - mmengine - INFO - Epoch(train) [46][280/940] lr: 1.0000e-03 eta: 9:21:34 time: 0.5701 data_time: 0.3398 memory: 8322 grad_norm: 4.2140 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1692 loss: 1.1692 2022/08/01 01:40:14 - mmengine - INFO - Epoch(train) [46][300/940] lr: 1.0000e-03 eta: 9:21:23 time: 0.7687 data_time: 0.4963 memory: 8322 grad_norm: 4.2092 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.1358 loss: 1.1358 2022/08/01 01:40:25 - mmengine - INFO - Epoch(train) [46][320/940] lr: 1.0000e-03 eta: 9:21:07 time: 0.5421 data_time: 0.2983 memory: 8322 grad_norm: 4.1916 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3004 loss: 1.3004 2022/08/01 01:40:41 - mmengine - INFO - Epoch(train) [46][340/940] lr: 1.0000e-03 eta: 9:20:57 time: 0.7657 data_time: 0.4659 memory: 8322 grad_norm: 4.2217 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2719 loss: 1.2719 2022/08/01 01:40:54 - mmengine - INFO - Epoch(train) [46][360/940] lr: 1.0000e-03 eta: 9:20:44 time: 0.6456 data_time: 0.1422 memory: 8322 grad_norm: 4.2721 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2399 loss: 1.2399 2022/08/01 01:41:07 - mmengine - INFO - Epoch(train) [46][380/940] lr: 1.0000e-03 eta: 9:20:31 time: 0.6562 data_time: 0.0697 memory: 8322 grad_norm: 4.2576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/08/01 01:41:18 - mmengine - INFO - Epoch(train) [46][400/940] lr: 1.0000e-03 eta: 9:20:16 time: 0.5915 data_time: 0.0421 memory: 8322 grad_norm: 4.1015 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3359 loss: 1.3359 2022/08/01 01:41:32 - mmengine - INFO - Epoch(train) [46][420/940] lr: 1.0000e-03 eta: 9:20:04 time: 0.6890 data_time: 0.0349 memory: 8322 grad_norm: 4.2259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/08/01 01:41:44 - mmengine - INFO - Epoch(train) [46][440/940] lr: 1.0000e-03 eta: 9:19:48 time: 0.5684 data_time: 0.0791 memory: 8322 grad_norm: 4.2226 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2879 loss: 1.2879 2022/08/01 01:41:56 - mmengine - INFO - Epoch(train) [46][460/940] lr: 1.0000e-03 eta: 9:19:35 time: 0.6301 data_time: 0.1623 memory: 8322 grad_norm: 4.1761 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2125 loss: 1.2125 2022/08/01 01:42:10 - mmengine - INFO - Epoch(train) [46][480/940] lr: 1.0000e-03 eta: 9:19:23 time: 0.7006 data_time: 0.0414 memory: 8322 grad_norm: 4.2980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2179 loss: 1.2179 2022/08/01 01:42:22 - mmengine - INFO - Epoch(train) [46][500/940] lr: 1.0000e-03 eta: 9:19:08 time: 0.5998 data_time: 0.0415 memory: 8322 grad_norm: 4.1510 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2831 loss: 1.2831 2022/08/01 01:42:35 - mmengine - INFO - Epoch(train) [46][520/940] lr: 1.0000e-03 eta: 9:18:55 time: 0.6293 data_time: 0.0405 memory: 8322 grad_norm: 4.2209 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1112 loss: 1.1112 2022/08/01 01:42:48 - mmengine - INFO - Epoch(train) [46][540/940] lr: 1.0000e-03 eta: 9:18:42 time: 0.6593 data_time: 0.0446 memory: 8322 grad_norm: 4.2066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1498 loss: 1.1498 2022/08/01 01:43:02 - mmengine - INFO - Epoch(train) [46][560/940] lr: 1.0000e-03 eta: 9:18:29 time: 0.6887 data_time: 0.0442 memory: 8322 grad_norm: 4.1302 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0902 loss: 1.0902 2022/08/01 01:43:14 - mmengine - INFO - Epoch(train) [46][580/940] lr: 1.0000e-03 eta: 9:18:15 time: 0.6019 data_time: 0.0348 memory: 8322 grad_norm: 4.1909 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1600 loss: 1.1600 2022/08/01 01:43:28 - mmengine - INFO - Epoch(train) [46][600/940] lr: 1.0000e-03 eta: 9:18:03 time: 0.7001 data_time: 0.0323 memory: 8322 grad_norm: 4.1731 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1768 loss: 1.1768 2022/08/01 01:43:40 - mmengine - INFO - Epoch(train) [46][620/940] lr: 1.0000e-03 eta: 9:17:48 time: 0.5828 data_time: 0.0359 memory: 8322 grad_norm: 4.2957 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2389 loss: 1.2389 2022/08/01 01:43:52 - mmengine - INFO - Epoch(train) [46][640/940] lr: 1.0000e-03 eta: 9:17:34 time: 0.6239 data_time: 0.0698 memory: 8322 grad_norm: 4.0490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1604 loss: 1.1604 2022/08/01 01:44:07 - mmengine - INFO - Epoch(train) [46][660/940] lr: 1.0000e-03 eta: 9:17:23 time: 0.7515 data_time: 0.1334 memory: 8322 grad_norm: 4.2559 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2035 loss: 1.2035 2022/08/01 01:44:18 - mmengine - INFO - Epoch(train) [46][680/940] lr: 1.0000e-03 eta: 9:17:08 time: 0.5708 data_time: 0.0373 memory: 8322 grad_norm: 4.2038 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2948 loss: 1.2948 2022/08/01 01:44:33 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:44:33 - mmengine - INFO - Epoch(train) [46][700/940] lr: 1.0000e-03 eta: 9:16:56 time: 0.7104 data_time: 0.0357 memory: 8322 grad_norm: 4.2079 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1487 loss: 1.1487 2022/08/01 01:44:45 - mmengine - INFO - Epoch(train) [46][720/940] lr: 1.0000e-03 eta: 9:16:42 time: 0.5989 data_time: 0.0340 memory: 8322 grad_norm: 4.1932 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2379 loss: 1.2379 2022/08/01 01:44:57 - mmengine - INFO - Epoch(train) [46][740/940] lr: 1.0000e-03 eta: 9:16:29 time: 0.6380 data_time: 0.0348 memory: 8322 grad_norm: 4.4208 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1088 loss: 1.1088 2022/08/01 01:45:09 - mmengine - INFO - Epoch(train) [46][760/940] lr: 1.0000e-03 eta: 9:16:14 time: 0.5849 data_time: 0.0770 memory: 8322 grad_norm: 4.0936 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1708 loss: 1.1708 2022/08/01 01:45:23 - mmengine - INFO - Epoch(train) [46][780/940] lr: 1.0000e-03 eta: 9:16:02 time: 0.6964 data_time: 0.0400 memory: 8322 grad_norm: 4.2675 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2448 loss: 1.2448 2022/08/01 01:45:36 - mmengine - INFO - Epoch(train) [46][800/940] lr: 1.0000e-03 eta: 9:15:48 time: 0.6533 data_time: 0.0488 memory: 8322 grad_norm: 4.2488 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2768 loss: 1.2768 2022/08/01 01:45:49 - mmengine - INFO - Epoch(train) [46][820/940] lr: 1.0000e-03 eta: 9:15:35 time: 0.6375 data_time: 0.0374 memory: 8322 grad_norm: 4.2372 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1390 loss: 1.1390 2022/08/01 01:46:02 - mmengine - INFO - Epoch(train) [46][840/940] lr: 1.0000e-03 eta: 9:15:22 time: 0.6418 data_time: 0.0366 memory: 8322 grad_norm: 4.2927 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0877 loss: 1.0877 2022/08/01 01:46:16 - mmengine - INFO - Epoch(train) [46][860/940] lr: 1.0000e-03 eta: 9:15:10 time: 0.7121 data_time: 0.0344 memory: 8322 grad_norm: 4.2159 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1789 loss: 1.1789 2022/08/01 01:46:27 - mmengine - INFO - Epoch(train) [46][880/940] lr: 1.0000e-03 eta: 9:14:54 time: 0.5590 data_time: 0.0367 memory: 8322 grad_norm: 4.2361 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.1987 loss: 1.1987 2022/08/01 01:46:42 - mmengine - INFO - Epoch(train) [46][900/940] lr: 1.0000e-03 eta: 9:14:43 time: 0.7193 data_time: 0.0381 memory: 8322 grad_norm: 4.3189 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1794 loss: 1.1794 2022/08/01 01:46:54 - mmengine - INFO - Epoch(train) [46][920/940] lr: 1.0000e-03 eta: 9:14:28 time: 0.6017 data_time: 0.0439 memory: 8322 grad_norm: 4.2605 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1609 loss: 1.1609 2022/08/01 01:47:04 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:47:04 - mmengine - INFO - Epoch(train) [46][940/940] lr: 1.0000e-03 eta: 9:14:12 time: 0.5188 data_time: 0.0273 memory: 8322 grad_norm: 4.5340 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.2260 loss: 1.2260 2022/08/01 01:47:18 - mmengine - INFO - Epoch(val) [46][20/78] eta: 0:00:38 time: 0.6709 data_time: 0.6064 memory: 1463 2022/08/01 01:47:26 - mmengine - INFO - Epoch(val) [46][40/78] eta: 0:00:16 time: 0.4423 data_time: 0.3746 memory: 1463 2022/08/01 01:47:40 - mmengine - INFO - Epoch(val) [46][60/78] eta: 0:00:12 time: 0.6944 data_time: 0.6190 memory: 1463 2022/08/01 01:47:50 - mmengine - INFO - Epoch(val) [46][78/78] acc/top1: 0.6866 acc/top5: 0.8814 acc/mean1: 0.6865 2022/08/01 01:48:07 - mmengine - INFO - Epoch(train) [47][20/940] lr: 1.0000e-03 eta: 9:14:03 time: 0.8095 data_time: 0.4789 memory: 8322 grad_norm: 4.2351 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2132 loss: 1.2132 2022/08/01 01:48:18 - mmengine - INFO - Epoch(train) [47][40/940] lr: 1.0000e-03 eta: 9:13:48 time: 0.5895 data_time: 0.2003 memory: 8322 grad_norm: 4.2386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1122 loss: 1.1122 2022/08/01 01:48:33 - mmengine - INFO - Epoch(train) [47][60/940] lr: 1.0000e-03 eta: 9:13:37 time: 0.7485 data_time: 0.1873 memory: 8322 grad_norm: 4.2756 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2443 loss: 1.2443 2022/08/01 01:48:44 - mmengine - INFO - Epoch(train) [47][80/940] lr: 1.0000e-03 eta: 9:13:21 time: 0.5326 data_time: 0.1101 memory: 8322 grad_norm: 4.2490 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.2271 loss: 1.2271 2022/08/01 01:48:59 - mmengine - INFO - Epoch(train) [47][100/940] lr: 1.0000e-03 eta: 9:13:10 time: 0.7468 data_time: 0.1267 memory: 8322 grad_norm: 4.1574 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0260 loss: 1.0260 2022/08/01 01:49:10 - mmengine - INFO - Epoch(train) [47][120/940] lr: 1.0000e-03 eta: 9:12:55 time: 0.5580 data_time: 0.1023 memory: 8322 grad_norm: 4.2551 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.2406 loss: 1.2406 2022/08/01 01:49:25 - mmengine - INFO - Epoch(train) [47][140/940] lr: 1.0000e-03 eta: 9:12:44 time: 0.7328 data_time: 0.1984 memory: 8322 grad_norm: 4.1585 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0961 loss: 1.0961 2022/08/01 01:49:36 - mmengine - INFO - Epoch(train) [47][160/940] lr: 1.0000e-03 eta: 9:12:29 time: 0.5781 data_time: 0.1034 memory: 8322 grad_norm: 4.2515 top1_acc: 0.5000 top5_acc: 0.9688 loss_cls: 1.1945 loss: 1.1945 2022/08/01 01:49:50 - mmengine - INFO - Epoch(train) [47][180/940] lr: 1.0000e-03 eta: 9:12:17 time: 0.7112 data_time: 0.0404 memory: 8322 grad_norm: 4.1224 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1243 loss: 1.1243 2022/08/01 01:50:01 - mmengine - INFO - Epoch(train) [47][200/940] lr: 1.0000e-03 eta: 9:12:01 time: 0.5330 data_time: 0.0324 memory: 8322 grad_norm: 4.2463 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2486 loss: 1.2486 2022/08/01 01:50:16 - mmengine - INFO - Epoch(train) [47][220/940] lr: 1.0000e-03 eta: 9:11:50 time: 0.7585 data_time: 0.0383 memory: 8322 grad_norm: 4.2840 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1764 loss: 1.1764 2022/08/01 01:50:27 - mmengine - INFO - Epoch(train) [47][240/940] lr: 1.0000e-03 eta: 9:11:34 time: 0.5329 data_time: 0.0377 memory: 8322 grad_norm: 4.2180 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1982 loss: 1.1982 2022/08/01 01:50:42 - mmengine - INFO - Epoch(train) [47][260/940] lr: 1.0000e-03 eta: 9:11:23 time: 0.7310 data_time: 0.0415 memory: 8322 grad_norm: 4.1963 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2085 loss: 1.2085 2022/08/01 01:50:52 - mmengine - INFO - Epoch(train) [47][280/940] lr: 1.0000e-03 eta: 9:11:07 time: 0.5417 data_time: 0.0468 memory: 8322 grad_norm: 4.3061 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1646 loss: 1.1646 2022/08/01 01:51:07 - mmengine - INFO - Epoch(train) [47][300/940] lr: 1.0000e-03 eta: 9:10:55 time: 0.7084 data_time: 0.0403 memory: 8322 grad_norm: 4.2515 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1725 loss: 1.1725 2022/08/01 01:51:18 - mmengine - INFO - Epoch(train) [47][320/940] lr: 1.0000e-03 eta: 9:10:40 time: 0.5612 data_time: 0.0362 memory: 8322 grad_norm: 4.2023 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1952 loss: 1.1952 2022/08/01 01:51:33 - mmengine - INFO - Epoch(train) [47][340/940] lr: 1.0000e-03 eta: 9:10:29 time: 0.7440 data_time: 0.0360 memory: 8322 grad_norm: 4.2516 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2119 loss: 1.2119 2022/08/01 01:51:43 - mmengine - INFO - Epoch(train) [47][360/940] lr: 1.0000e-03 eta: 9:10:13 time: 0.5308 data_time: 0.0419 memory: 8322 grad_norm: 4.2076 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2518 loss: 1.2518 2022/08/01 01:51:58 - mmengine - INFO - Epoch(train) [47][380/940] lr: 1.0000e-03 eta: 9:10:02 time: 0.7253 data_time: 0.0326 memory: 8322 grad_norm: 4.2567 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1848 loss: 1.1848 2022/08/01 01:52:09 - mmengine - INFO - Epoch(train) [47][400/940] lr: 1.0000e-03 eta: 9:09:47 time: 0.5754 data_time: 0.0412 memory: 8322 grad_norm: 4.2448 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0981 loss: 1.0981 2022/08/01 01:52:24 - mmengine - INFO - Epoch(train) [47][420/940] lr: 1.0000e-03 eta: 9:09:36 time: 0.7532 data_time: 0.0391 memory: 8322 grad_norm: 4.1782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/08/01 01:52:36 - mmengine - INFO - Epoch(train) [47][440/940] lr: 1.0000e-03 eta: 9:09:21 time: 0.5668 data_time: 0.0298 memory: 8322 grad_norm: 4.2908 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2960 loss: 1.2960 2022/08/01 01:52:50 - mmengine - INFO - Epoch(train) [47][460/940] lr: 1.0000e-03 eta: 9:09:09 time: 0.7093 data_time: 0.0381 memory: 8322 grad_norm: 4.3024 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1914 loss: 1.1914 2022/08/01 01:53:01 - mmengine - INFO - Epoch(train) [47][480/940] lr: 1.0000e-03 eta: 9:08:53 time: 0.5492 data_time: 0.0288 memory: 8322 grad_norm: 4.2415 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0880 loss: 1.0880 2022/08/01 01:53:15 - mmengine - INFO - Epoch(train) [47][500/940] lr: 1.0000e-03 eta: 9:08:42 time: 0.7224 data_time: 0.0371 memory: 8322 grad_norm: 4.1753 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1446 loss: 1.1446 2022/08/01 01:53:27 - mmengine - INFO - Epoch(train) [47][520/940] lr: 1.0000e-03 eta: 9:08:26 time: 0.5595 data_time: 0.0405 memory: 8322 grad_norm: 4.2176 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2794 loss: 1.2794 2022/08/01 01:53:41 - mmengine - INFO - Epoch(train) [47][540/940] lr: 1.0000e-03 eta: 9:08:15 time: 0.7138 data_time: 0.0379 memory: 8322 grad_norm: 4.2525 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1377 loss: 1.1377 2022/08/01 01:53:53 - mmengine - INFO - Epoch(train) [47][560/940] lr: 1.0000e-03 eta: 9:08:01 time: 0.6118 data_time: 0.0290 memory: 8322 grad_norm: 4.1714 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2022 loss: 1.2022 2022/08/01 01:54:07 - mmengine - INFO - Epoch(train) [47][580/940] lr: 1.0000e-03 eta: 9:07:48 time: 0.6698 data_time: 0.0440 memory: 8322 grad_norm: 4.2914 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2688 loss: 1.2688 2022/08/01 01:54:18 - mmengine - INFO - Epoch(train) [47][600/940] lr: 1.0000e-03 eta: 9:07:32 time: 0.5548 data_time: 0.0342 memory: 8322 grad_norm: 4.2808 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2266 loss: 1.2266 2022/08/01 01:54:32 - mmengine - INFO - Epoch(train) [47][620/940] lr: 1.0000e-03 eta: 9:07:21 time: 0.7117 data_time: 0.0357 memory: 8322 grad_norm: 4.2056 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2591 loss: 1.2591 2022/08/01 01:54:44 - mmengine - INFO - Epoch(train) [47][640/940] lr: 1.0000e-03 eta: 9:07:06 time: 0.5972 data_time: 0.0345 memory: 8322 grad_norm: 4.2116 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1823 loss: 1.1823 2022/08/01 01:54:58 - mmengine - INFO - Epoch(train) [47][660/940] lr: 1.0000e-03 eta: 9:06:54 time: 0.7105 data_time: 0.0357 memory: 8322 grad_norm: 4.2243 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2422 loss: 1.2422 2022/08/01 01:55:11 - mmengine - INFO - Epoch(train) [47][680/940] lr: 1.0000e-03 eta: 9:06:41 time: 0.6320 data_time: 0.0296 memory: 8322 grad_norm: 4.1682 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1323 loss: 1.1323 2022/08/01 01:55:24 - mmengine - INFO - Epoch(train) [47][700/940] lr: 1.0000e-03 eta: 9:06:28 time: 0.6754 data_time: 0.0442 memory: 8322 grad_norm: 4.2503 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3828 loss: 1.3828 2022/08/01 01:55:35 - mmengine - INFO - Epoch(train) [47][720/940] lr: 1.0000e-03 eta: 9:06:13 time: 0.5650 data_time: 0.0348 memory: 8322 grad_norm: 4.3844 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2460 loss: 1.2460 2022/08/01 01:55:50 - mmengine - INFO - Epoch(train) [47][740/940] lr: 1.0000e-03 eta: 9:06:02 time: 0.7424 data_time: 0.0341 memory: 8322 grad_norm: 4.2438 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1884 loss: 1.1884 2022/08/01 01:56:02 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:56:02 - mmengine - INFO - Epoch(train) [47][760/940] lr: 1.0000e-03 eta: 9:05:47 time: 0.5583 data_time: 0.0346 memory: 8322 grad_norm: 4.2710 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1698 loss: 1.1698 2022/08/01 01:56:15 - mmengine - INFO - Epoch(train) [47][780/940] lr: 1.0000e-03 eta: 9:05:34 time: 0.6928 data_time: 0.0395 memory: 8322 grad_norm: 4.3161 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2391 loss: 1.2391 2022/08/01 01:56:27 - mmengine - INFO - Epoch(train) [47][800/940] lr: 1.0000e-03 eta: 9:05:19 time: 0.5752 data_time: 0.0342 memory: 8322 grad_norm: 4.1563 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0758 loss: 1.0758 2022/08/01 01:56:42 - mmengine - INFO - Epoch(train) [47][820/940] lr: 1.0000e-03 eta: 9:05:08 time: 0.7316 data_time: 0.0301 memory: 8322 grad_norm: 4.2012 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1117 loss: 1.1117 2022/08/01 01:56:53 - mmengine - INFO - Epoch(train) [47][840/940] lr: 1.0000e-03 eta: 9:04:53 time: 0.5766 data_time: 0.0786 memory: 8322 grad_norm: 4.2857 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0994 loss: 1.0994 2022/08/01 01:57:07 - mmengine - INFO - Epoch(train) [47][860/940] lr: 1.0000e-03 eta: 9:04:41 time: 0.6984 data_time: 0.0732 memory: 8322 grad_norm: 4.2828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2019 loss: 1.2019 2022/08/01 01:57:19 - mmengine - INFO - Epoch(train) [47][880/940] lr: 1.0000e-03 eta: 9:04:27 time: 0.6019 data_time: 0.1410 memory: 8322 grad_norm: 4.2237 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1238 loss: 1.1238 2022/08/01 01:57:33 - mmengine - INFO - Epoch(train) [47][900/940] lr: 1.0000e-03 eta: 9:04:15 time: 0.7184 data_time: 0.0612 memory: 8322 grad_norm: 4.3446 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1786 loss: 1.1786 2022/08/01 01:57:45 - mmengine - INFO - Epoch(train) [47][920/940] lr: 1.0000e-03 eta: 9:04:00 time: 0.5617 data_time: 0.1003 memory: 8322 grad_norm: 4.2217 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1706 loss: 1.1706 2022/08/01 01:57:56 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 01:57:57 - mmengine - INFO - Epoch(train) [47][940/940] lr: 1.0000e-03 eta: 9:03:45 time: 0.5894 data_time: 0.0443 memory: 8322 grad_norm: 4.6285 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.1820 loss: 1.1820 2022/08/01 01:58:10 - mmengine - INFO - Epoch(val) [47][20/78] eta: 0:00:39 time: 0.6770 data_time: 0.6094 memory: 1463 2022/08/01 01:58:19 - mmengine - INFO - Epoch(val) [47][40/78] eta: 0:00:16 time: 0.4223 data_time: 0.3580 memory: 1463 2022/08/01 01:58:32 - mmengine - INFO - Epoch(val) [47][60/78] eta: 0:00:11 time: 0.6491 data_time: 0.5858 memory: 1463 2022/08/01 01:58:44 - mmengine - INFO - Epoch(val) [47][78/78] acc/top1: 0.6881 acc/top5: 0.8816 acc/mean1: 0.6880 2022/08/01 01:58:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_45.pth is removed 2022/08/01 01:58:45 - mmengine - INFO - The best checkpoint with 0.6881 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2022/08/01 01:59:02 - mmengine - INFO - Epoch(train) [48][20/940] lr: 1.0000e-03 eta: 9:03:36 time: 0.8197 data_time: 0.5838 memory: 8322 grad_norm: 4.2364 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1966 loss: 1.1966 2022/08/01 01:59:13 - mmengine - INFO - Epoch(train) [48][40/940] lr: 1.0000e-03 eta: 9:03:21 time: 0.5624 data_time: 0.3432 memory: 8322 grad_norm: 4.1574 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1607 loss: 1.1607 2022/08/01 01:59:29 - mmengine - INFO - Epoch(train) [48][60/940] lr: 1.0000e-03 eta: 9:03:11 time: 0.7865 data_time: 0.5313 memory: 8322 grad_norm: 4.2188 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1992 loss: 1.1992 2022/08/01 01:59:40 - mmengine - INFO - Epoch(train) [48][80/940] lr: 1.0000e-03 eta: 9:02:55 time: 0.5663 data_time: 0.3463 memory: 8322 grad_norm: 4.2329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1812 loss: 1.1812 2022/08/01 01:59:54 - mmengine - INFO - Epoch(train) [48][100/940] lr: 1.0000e-03 eta: 9:02:43 time: 0.6988 data_time: 0.4303 memory: 8322 grad_norm: 4.2456 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0872 loss: 1.0872 2022/08/01 02:00:06 - mmengine - INFO - Epoch(train) [48][120/940] lr: 1.0000e-03 eta: 9:02:29 time: 0.5782 data_time: 0.2952 memory: 8322 grad_norm: 4.2623 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1714 loss: 1.1714 2022/08/01 02:00:22 - mmengine - INFO - Epoch(train) [48][140/940] lr: 1.0000e-03 eta: 9:02:19 time: 0.8031 data_time: 0.4424 memory: 8322 grad_norm: 4.1874 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1013 loss: 1.1013 2022/08/01 02:00:32 - mmengine - INFO - Epoch(train) [48][160/940] lr: 1.0000e-03 eta: 9:02:02 time: 0.5103 data_time: 0.2181 memory: 8322 grad_norm: 4.2797 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1779 loss: 1.1779 2022/08/01 02:00:46 - mmengine - INFO - Epoch(train) [48][180/940] lr: 1.0000e-03 eta: 9:01:50 time: 0.6979 data_time: 0.2670 memory: 8322 grad_norm: 4.2735 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1904 loss: 1.1904 2022/08/01 02:00:58 - mmengine - INFO - Epoch(train) [48][200/940] lr: 1.0000e-03 eta: 9:01:36 time: 0.6074 data_time: 0.1002 memory: 8322 grad_norm: 4.2763 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1933 loss: 1.1933 2022/08/01 02:01:12 - mmengine - INFO - Epoch(train) [48][220/940] lr: 1.0000e-03 eta: 9:01:24 time: 0.6977 data_time: 0.0350 memory: 8322 grad_norm: 4.1769 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1256 loss: 1.1256 2022/08/01 02:01:23 - mmengine - INFO - Epoch(train) [48][240/940] lr: 1.0000e-03 eta: 9:01:09 time: 0.5603 data_time: 0.0349 memory: 8322 grad_norm: 4.2490 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2248 loss: 1.2248 2022/08/01 02:01:38 - mmengine - INFO - Epoch(train) [48][260/940] lr: 1.0000e-03 eta: 9:00:57 time: 0.7253 data_time: 0.0313 memory: 8322 grad_norm: 4.2353 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1019 loss: 1.1019 2022/08/01 02:01:49 - mmengine - INFO - Epoch(train) [48][280/940] lr: 1.0000e-03 eta: 9:00:42 time: 0.5469 data_time: 0.0370 memory: 8322 grad_norm: 4.2622 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1186 loss: 1.1186 2022/08/01 02:02:03 - mmengine - INFO - Epoch(train) [48][300/940] lr: 1.0000e-03 eta: 9:00:30 time: 0.7153 data_time: 0.1376 memory: 8322 grad_norm: 4.3351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2599 loss: 1.2599 2022/08/01 02:02:13 - mmengine - INFO - Epoch(train) [48][320/940] lr: 1.0000e-03 eta: 9:00:14 time: 0.5113 data_time: 0.0349 memory: 8322 grad_norm: 4.3127 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1815 loss: 1.1815 2022/08/01 02:02:29 - mmengine - INFO - Epoch(train) [48][340/940] lr: 1.0000e-03 eta: 9:00:03 time: 0.7757 data_time: 0.0600 memory: 8322 grad_norm: 4.2103 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1721 loss: 1.1721 2022/08/01 02:02:40 - mmengine - INFO - Epoch(train) [48][360/940] lr: 1.0000e-03 eta: 8:59:48 time: 0.5572 data_time: 0.0323 memory: 8322 grad_norm: 4.2206 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1501 loss: 1.1501 2022/08/01 02:02:54 - mmengine - INFO - Epoch(train) [48][380/940] lr: 1.0000e-03 eta: 8:59:36 time: 0.7009 data_time: 0.0734 memory: 8322 grad_norm: 4.1648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/08/01 02:03:06 - mmengine - INFO - Epoch(train) [48][400/940] lr: 1.0000e-03 eta: 8:59:22 time: 0.5989 data_time: 0.0579 memory: 8322 grad_norm: 4.2930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1594 loss: 1.1594 2022/08/01 02:03:20 - mmengine - INFO - Epoch(train) [48][420/940] lr: 1.0000e-03 eta: 8:59:10 time: 0.7042 data_time: 0.0731 memory: 8322 grad_norm: 4.2924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2182 loss: 1.2182 2022/08/01 02:03:30 - mmengine - INFO - Epoch(train) [48][440/940] lr: 1.0000e-03 eta: 8:58:54 time: 0.5285 data_time: 0.1515 memory: 8322 grad_norm: 4.2427 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1169 loss: 1.1169 2022/08/01 02:03:45 - mmengine - INFO - Epoch(train) [48][460/940] lr: 1.0000e-03 eta: 8:58:42 time: 0.7130 data_time: 0.1987 memory: 8322 grad_norm: 4.2300 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2149 loss: 1.2149 2022/08/01 02:03:56 - mmengine - INFO - Epoch(train) [48][480/940] lr: 1.0000e-03 eta: 8:58:27 time: 0.5615 data_time: 0.1221 memory: 8322 grad_norm: 4.2916 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1419 loss: 1.1419 2022/08/01 02:04:11 - mmengine - INFO - Epoch(train) [48][500/940] lr: 1.0000e-03 eta: 8:58:16 time: 0.7414 data_time: 0.2528 memory: 8322 grad_norm: 4.1972 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2114 loss: 1.2114 2022/08/01 02:04:23 - mmengine - INFO - Epoch(train) [48][520/940] lr: 1.0000e-03 eta: 8:58:01 time: 0.6027 data_time: 0.1102 memory: 8322 grad_norm: 4.3333 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2502 loss: 1.2502 2022/08/01 02:04:37 - mmengine - INFO - Epoch(train) [48][540/940] lr: 1.0000e-03 eta: 8:57:50 time: 0.7309 data_time: 0.1221 memory: 8322 grad_norm: 4.2450 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1361 loss: 1.1361 2022/08/01 02:04:49 - mmengine - INFO - Epoch(train) [48][560/940] lr: 1.0000e-03 eta: 8:57:35 time: 0.5806 data_time: 0.1167 memory: 8322 grad_norm: 4.2822 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1728 loss: 1.1728 2022/08/01 02:05:03 - mmengine - INFO - Epoch(train) [48][580/940] lr: 1.0000e-03 eta: 8:57:23 time: 0.7001 data_time: 0.1488 memory: 8322 grad_norm: 4.1935 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1235 loss: 1.1235 2022/08/01 02:05:13 - mmengine - INFO - Epoch(train) [48][600/940] lr: 1.0000e-03 eta: 8:57:07 time: 0.5040 data_time: 0.1904 memory: 8322 grad_norm: 4.3235 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2769 loss: 1.2769 2022/08/01 02:05:27 - mmengine - INFO - Epoch(train) [48][620/940] lr: 1.0000e-03 eta: 8:56:55 time: 0.6989 data_time: 0.3953 memory: 8322 grad_norm: 4.3239 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1755 loss: 1.1755 2022/08/01 02:05:39 - mmengine - INFO - Epoch(train) [48][640/940] lr: 1.0000e-03 eta: 8:56:40 time: 0.5702 data_time: 0.3408 memory: 8322 grad_norm: 4.2549 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0105 loss: 1.0105 2022/08/01 02:05:54 - mmengine - INFO - Epoch(train) [48][660/940] lr: 1.0000e-03 eta: 8:56:29 time: 0.7500 data_time: 0.4616 memory: 8322 grad_norm: 4.1657 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0908 loss: 1.0908 2022/08/01 02:06:05 - mmengine - INFO - Epoch(train) [48][680/940] lr: 1.0000e-03 eta: 8:56:13 time: 0.5550 data_time: 0.2848 memory: 8322 grad_norm: 4.2100 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2502 loss: 1.2502 2022/08/01 02:06:19 - mmengine - INFO - Epoch(train) [48][700/940] lr: 1.0000e-03 eta: 8:56:01 time: 0.6948 data_time: 0.2520 memory: 8322 grad_norm: 4.3063 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1562 loss: 1.1562 2022/08/01 02:06:30 - mmengine - INFO - Epoch(train) [48][720/940] lr: 1.0000e-03 eta: 8:55:46 time: 0.5638 data_time: 0.1764 memory: 8322 grad_norm: 4.2963 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2791 loss: 1.2791 2022/08/01 02:06:44 - mmengine - INFO - Epoch(train) [48][740/940] lr: 1.0000e-03 eta: 8:55:34 time: 0.7257 data_time: 0.1480 memory: 8322 grad_norm: 4.2117 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1084 loss: 1.1084 2022/08/01 02:06:55 - mmengine - INFO - Epoch(train) [48][760/940] lr: 1.0000e-03 eta: 8:55:19 time: 0.5548 data_time: 0.1059 memory: 8322 grad_norm: 4.3018 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2464 loss: 1.2464 2022/08/01 02:07:10 - mmengine - INFO - Epoch(train) [48][780/940] lr: 1.0000e-03 eta: 8:55:08 time: 0.7341 data_time: 0.1607 memory: 8322 grad_norm: 4.3293 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2929 loss: 1.2929 2022/08/01 02:07:21 - mmengine - INFO - Epoch(train) [48][800/940] lr: 1.0000e-03 eta: 8:54:52 time: 0.5378 data_time: 0.0529 memory: 8322 grad_norm: 4.2800 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2385 loss: 1.2385 2022/08/01 02:07:36 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 02:07:36 - mmengine - INFO - Epoch(train) [48][820/940] lr: 1.0000e-03 eta: 8:54:42 time: 0.7756 data_time: 0.1605 memory: 8322 grad_norm: 4.2399 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1784 loss: 1.1784 2022/08/01 02:07:48 - mmengine - INFO - Epoch(train) [48][840/940] lr: 1.0000e-03 eta: 8:54:27 time: 0.5955 data_time: 0.1558 memory: 8322 grad_norm: 4.2492 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1494 loss: 1.1494 2022/08/01 02:08:02 - mmengine - INFO - Epoch(train) [48][860/940] lr: 1.0000e-03 eta: 8:54:15 time: 0.6840 data_time: 0.3505 memory: 8322 grad_norm: 4.2977 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1236 loss: 1.1236 2022/08/01 02:08:13 - mmengine - INFO - Epoch(train) [48][880/940] lr: 1.0000e-03 eta: 8:54:00 time: 0.5714 data_time: 0.2664 memory: 8322 grad_norm: 4.3524 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0622 loss: 1.0622 2022/08/01 02:08:28 - mmengine - INFO - Epoch(train) [48][900/940] lr: 1.0000e-03 eta: 8:53:49 time: 0.7498 data_time: 0.4659 memory: 8322 grad_norm: 4.3345 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2110 loss: 1.2110 2022/08/01 02:08:40 - mmengine - INFO - Epoch(train) [48][920/940] lr: 1.0000e-03 eta: 8:53:34 time: 0.5686 data_time: 0.3316 memory: 8322 grad_norm: 4.2974 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1426 loss: 1.1426 2022/08/01 02:08:52 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 02:08:52 - mmengine - INFO - Epoch(train) [48][940/940] lr: 1.0000e-03 eta: 8:53:20 time: 0.5937 data_time: 0.3913 memory: 8322 grad_norm: 4.5523 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.3578 loss: 1.3578 2022/08/01 02:08:52 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/01 02:09:08 - mmengine - INFO - Epoch(val) [48][20/78] eta: 0:00:39 time: 0.6785 data_time: 0.6149 memory: 1463 2022/08/01 02:09:17 - mmengine - INFO - Epoch(val) [48][40/78] eta: 0:00:17 time: 0.4484 data_time: 0.3860 memory: 1463 2022/08/01 02:09:30 - mmengine - INFO - Epoch(val) [48][60/78] eta: 0:00:12 time: 0.6693 data_time: 0.6074 memory: 1463 2022/08/01 02:09:39 - mmengine - INFO - Epoch(val) [48][78/78] acc/top1: 0.6884 acc/top5: 0.8806 acc/mean1: 0.6883 2022/08/01 02:09:39 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_48.pth is removed 2022/08/01 02:09:41 - mmengine - INFO - The best checkpoint with 0.6884 acc/top1 at 49 epoch is saved to best_acc/top1_epoch_49.pth. 2022/08/01 02:09:57 - mmengine - INFO - Epoch(train) [49][20/940] lr: 1.0000e-03 eta: 8:53:10 time: 0.8170 data_time: 0.6162 memory: 8322 grad_norm: 4.3273 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.2492 loss: 1.2492 2022/08/01 02:10:09 - mmengine - INFO - Epoch(train) [49][40/940] lr: 1.0000e-03 eta: 8:52:55 time: 0.5568 data_time: 0.3556 memory: 8322 grad_norm: 4.2302 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1652 loss: 1.1652 2022/08/01 02:10:25 - mmengine - INFO - Epoch(train) [49][60/940] lr: 1.0000e-03 eta: 8:52:45 time: 0.7969 data_time: 0.5425 memory: 8322 grad_norm: 4.2328 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1592 loss: 1.1592 2022/08/01 02:10:36 - mmengine - INFO - Epoch(train) [49][80/940] lr: 1.0000e-03 eta: 8:52:29 time: 0.5532 data_time: 0.3305 memory: 8322 grad_norm: 4.3233 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1829 loss: 1.1829 2022/08/01 02:10:50 - mmengine - INFO - Epoch(train) [49][100/940] lr: 1.0000e-03 eta: 8:52:17 time: 0.6956 data_time: 0.4514 memory: 8322 grad_norm: 4.2194 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.2478 loss: 1.2478 2022/08/01 02:11:01 - mmengine - INFO - Epoch(train) [49][120/940] lr: 1.0000e-03 eta: 8:52:02 time: 0.5589 data_time: 0.3331 memory: 8322 grad_norm: 4.1213 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1424 loss: 1.1424 2022/08/01 02:11:16 - mmengine - INFO - Epoch(train) [49][140/940] lr: 1.0000e-03 eta: 8:51:51 time: 0.7488 data_time: 0.4962 memory: 8322 grad_norm: 4.2477 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2191 loss: 1.2191 2022/08/01 02:11:27 - mmengine - INFO - Epoch(train) [49][160/940] lr: 1.0000e-03 eta: 8:51:36 time: 0.5850 data_time: 0.3473 memory: 8322 grad_norm: 4.4367 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2669 loss: 1.2669 2022/08/01 02:11:41 - mmengine - INFO - Epoch(train) [49][180/940] lr: 1.0000e-03 eta: 8:51:24 time: 0.6937 data_time: 0.4535 memory: 8322 grad_norm: 4.2198 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2154 loss: 1.2154 2022/08/01 02:11:52 - mmengine - INFO - Epoch(train) [49][200/940] lr: 1.0000e-03 eta: 8:51:09 time: 0.5504 data_time: 0.3287 memory: 8322 grad_norm: 4.1962 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/08/01 02:12:06 - mmengine - INFO - Epoch(train) [49][220/940] lr: 1.0000e-03 eta: 8:50:57 time: 0.6984 data_time: 0.4532 memory: 8322 grad_norm: 4.2994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1486 loss: 1.1486 2022/08/01 02:12:18 - mmengine - INFO - Epoch(train) [49][240/940] lr: 1.0000e-03 eta: 8:50:42 time: 0.5663 data_time: 0.2635 memory: 8322 grad_norm: 4.2481 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2015 loss: 1.2015 2022/08/01 02:12:31 - mmengine - INFO - Epoch(train) [49][260/940] lr: 1.0000e-03 eta: 8:50:29 time: 0.6563 data_time: 0.3337 memory: 8322 grad_norm: 4.1915 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1076 loss: 1.1076 2022/08/01 02:12:44 - mmengine - INFO - Epoch(train) [49][280/940] lr: 1.0000e-03 eta: 8:50:16 time: 0.6804 data_time: 0.1503 memory: 8322 grad_norm: 4.2731 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2282 loss: 1.2282 2022/08/01 02:12:56 - mmengine - INFO - Epoch(train) [49][300/940] lr: 1.0000e-03 eta: 8:50:02 time: 0.5990 data_time: 0.0678 memory: 8322 grad_norm: 4.3473 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2594 loss: 1.2594 2022/08/01 02:13:10 - mmengine - INFO - Epoch(train) [49][320/940] lr: 1.0000e-03 eta: 8:49:49 time: 0.6644 data_time: 0.0366 memory: 8322 grad_norm: 4.3110 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1918 loss: 1.1918 2022/08/01 02:13:22 - mmengine - INFO - Epoch(train) [49][340/940] lr: 1.0000e-03 eta: 8:49:35 time: 0.6245 data_time: 0.0544 memory: 8322 grad_norm: 4.3413 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2095 loss: 1.2095 2022/08/01 02:13:36 - mmengine - INFO - Epoch(train) [49][360/940] lr: 1.0000e-03 eta: 8:49:23 time: 0.6863 data_time: 0.0259 memory: 8322 grad_norm: 4.2994 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2596 loss: 1.2596 2022/08/01 02:13:49 - mmengine - INFO - Epoch(train) [49][380/940] lr: 1.0000e-03 eta: 8:49:10 time: 0.6621 data_time: 0.0704 memory: 8322 grad_norm: 4.3234 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/08/01 02:14:01 - mmengine - INFO - Epoch(train) [49][400/940] lr: 1.0000e-03 eta: 8:48:56 time: 0.6142 data_time: 0.0687 memory: 8322 grad_norm: 4.2351 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1858 loss: 1.1858 2022/08/01 02:14:15 - mmengine - INFO - Epoch(train) [49][420/940] lr: 1.0000e-03 eta: 8:48:43 time: 0.6843 data_time: 0.1452 memory: 8322 grad_norm: 4.2496 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2086 loss: 1.2086 2022/08/01 02:14:26 - mmengine - INFO - Epoch(train) [49][440/940] lr: 1.0000e-03 eta: 8:48:28 time: 0.5680 data_time: 0.1940 memory: 8322 grad_norm: 4.3205 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1859 loss: 1.1859 2022/08/01 02:14:42 - mmengine - INFO - Epoch(train) [49][460/940] lr: 1.0000e-03 eta: 8:48:18 time: 0.7572 data_time: 0.1889 memory: 8322 grad_norm: 4.2461 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1871 loss: 1.1871 2022/08/01 02:14:53 - mmengine - INFO - Epoch(train) [49][480/940] lr: 1.0000e-03 eta: 8:48:03 time: 0.5661 data_time: 0.0551 memory: 8322 grad_norm: 4.3286 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2423 loss: 1.2423 2022/08/01 02:15:08 - mmengine - INFO - Epoch(train) [49][500/940] lr: 1.0000e-03 eta: 8:47:51 time: 0.7477 data_time: 0.0673 memory: 8322 grad_norm: 4.3200 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1151 loss: 1.1151 2022/08/01 02:15:19 - mmengine - INFO - Epoch(train) [49][520/940] lr: 1.0000e-03 eta: 8:47:37 time: 0.5704 data_time: 0.0293 memory: 8322 grad_norm: 4.2478 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.2053 loss: 1.2053 2022/08/01 02:15:33 - mmengine - INFO - Epoch(train) [49][540/940] lr: 1.0000e-03 eta: 8:47:24 time: 0.6825 data_time: 0.0390 memory: 8322 grad_norm: 4.3293 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1962 loss: 1.1962 2022/08/01 02:15:44 - mmengine - INFO - Epoch(train) [49][560/940] lr: 1.0000e-03 eta: 8:47:09 time: 0.5715 data_time: 0.0370 memory: 8322 grad_norm: 4.2880 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1749 loss: 1.1749 2022/08/01 02:15:59 - mmengine - INFO - Epoch(train) [49][580/940] lr: 1.0000e-03 eta: 8:46:58 time: 0.7178 data_time: 0.0344 memory: 8322 grad_norm: 4.2740 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2283 loss: 1.2283 2022/08/01 02:16:10 - mmengine - INFO - Epoch(train) [49][600/940] lr: 1.0000e-03 eta: 8:46:42 time: 0.5563 data_time: 0.0405 memory: 8322 grad_norm: 4.2640 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2303 loss: 1.2303 2022/08/01 02:16:24 - mmengine - INFO - Epoch(train) [49][620/940] lr: 1.0000e-03 eta: 8:46:31 time: 0.7154 data_time: 0.0441 memory: 8322 grad_norm: 4.2696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/08/01 02:16:35 - mmengine - INFO - Epoch(train) [49][640/940] lr: 1.0000e-03 eta: 8:46:15 time: 0.5620 data_time: 0.0381 memory: 8322 grad_norm: 4.2938 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2423 loss: 1.2423 2022/08/01 02:16:51 - mmengine - INFO - Epoch(train) [49][660/940] lr: 1.0000e-03 eta: 8:46:05 time: 0.7684 data_time: 0.0308 memory: 8322 grad_norm: 4.3546 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1081 loss: 1.1081 2022/08/01 02:17:02 - mmengine - INFO - Epoch(train) [49][680/940] lr: 1.0000e-03 eta: 8:45:50 time: 0.5524 data_time: 0.0348 memory: 8322 grad_norm: 4.2758 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1003 loss: 1.1003 2022/08/01 02:17:16 - mmengine - INFO - Epoch(train) [49][700/940] lr: 1.0000e-03 eta: 8:45:38 time: 0.7187 data_time: 0.0315 memory: 8322 grad_norm: 4.2189 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2629 loss: 1.2629 2022/08/01 02:17:29 - mmengine - INFO - Epoch(train) [49][720/940] lr: 1.0000e-03 eta: 8:45:24 time: 0.6176 data_time: 0.0371 memory: 8322 grad_norm: 4.3844 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2009 loss: 1.2009 2022/08/01 02:17:42 - mmengine - INFO - Epoch(train) [49][740/940] lr: 1.0000e-03 eta: 8:45:12 time: 0.6867 data_time: 0.0601 memory: 8322 grad_norm: 4.3170 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2018 loss: 1.2018 2022/08/01 02:17:53 - mmengine - INFO - Epoch(train) [49][760/940] lr: 1.0000e-03 eta: 8:44:56 time: 0.5418 data_time: 0.0362 memory: 8322 grad_norm: 4.3710 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2444 loss: 1.2444 2022/08/01 02:18:08 - mmengine - INFO - Epoch(train) [49][780/940] lr: 1.0000e-03 eta: 8:44:44 time: 0.7200 data_time: 0.0376 memory: 8322 grad_norm: 4.3941 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2175 loss: 1.2175 2022/08/01 02:18:18 - mmengine - INFO - Epoch(train) [49][800/940] lr: 1.0000e-03 eta: 8:44:28 time: 0.5201 data_time: 0.0346 memory: 8322 grad_norm: 4.2971 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2342 loss: 1.2342 2022/08/01 02:18:34 - mmengine - INFO - Epoch(train) [49][820/940] lr: 1.0000e-03 eta: 8:44:18 time: 0.7777 data_time: 0.0469 memory: 8322 grad_norm: 4.3331 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.2198 loss: 1.2198 2022/08/01 02:18:45 - mmengine - INFO - Epoch(train) [49][840/940] lr: 1.0000e-03 eta: 8:44:03 time: 0.5735 data_time: 0.0363 memory: 8322 grad_norm: 4.2288 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0381 loss: 1.0381 2022/08/01 02:19:00 - mmengine - INFO - Epoch(train) [49][860/940] lr: 1.0000e-03 eta: 8:43:52 time: 0.7301 data_time: 0.0344 memory: 8322 grad_norm: 4.2989 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1239 loss: 1.1239 2022/08/01 02:19:11 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 02:19:11 - mmengine - INFO - Epoch(train) [49][880/940] lr: 1.0000e-03 eta: 8:43:36 time: 0.5516 data_time: 0.0355 memory: 8322 grad_norm: 4.2224 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2094 loss: 1.2094 2022/08/01 02:19:26 - mmengine - INFO - Epoch(train) [49][900/940] lr: 1.0000e-03 eta: 8:43:25 time: 0.7370 data_time: 0.0340 memory: 8322 grad_norm: 4.3650 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1500 loss: 1.1500 2022/08/01 02:19:37 - mmengine - INFO - Epoch(train) [49][920/940] lr: 1.0000e-03 eta: 8:43:10 time: 0.5714 data_time: 0.0424 memory: 8322 grad_norm: 4.3212 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2144 loss: 1.2144 2022/08/01 02:19:49 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 02:19:49 - mmengine - INFO - Epoch(train) [49][940/940] lr: 1.0000e-03 eta: 8:42:56 time: 0.6131 data_time: 0.0253 memory: 8322 grad_norm: 4.5727 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2798 loss: 1.2798 2022/08/01 02:20:03 - mmengine - INFO - Epoch(val) [49][20/78] eta: 0:00:39 time: 0.6789 data_time: 0.6120 memory: 1463 2022/08/01 02:20:12 - mmengine - INFO - Epoch(val) [49][40/78] eta: 0:00:16 time: 0.4452 data_time: 0.3832 memory: 1463 2022/08/01 02:20:25 - mmengine - INFO - Epoch(val) [49][60/78] eta: 0:00:11 time: 0.6454 data_time: 0.5727 memory: 1463 2022/08/01 02:20:36 - mmengine - INFO - Epoch(val) [49][78/78] acc/top1: 0.6885 acc/top5: 0.8836 acc/mean1: 0.6884 2022/08/01 02:20:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_49.pth is removed 2022/08/01 02:20:38 - mmengine - INFO - The best checkpoint with 0.6885 acc/top1 at 50 epoch is saved to best_acc/top1_epoch_50.pth. 2022/08/01 02:20:54 - mmengine - INFO - Epoch(train) [50][20/940] lr: 1.0000e-03 eta: 8:42:46 time: 0.8129 data_time: 0.6134 memory: 8322 grad_norm: 4.3166 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1402 loss: 1.1402 2022/08/01 02:21:05 - mmengine - INFO - Epoch(train) [50][40/940] lr: 1.0000e-03 eta: 8:42:31 time: 0.5395 data_time: 0.3434 memory: 8322 grad_norm: 4.2343 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2439 loss: 1.2439 2022/08/01 02:21:20 - mmengine - INFO - Epoch(train) [50][60/940] lr: 1.0000e-03 eta: 8:42:20 time: 0.7399 data_time: 0.5080 memory: 8322 grad_norm: 4.2830 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2392 loss: 1.2392 2022/08/01 02:21:30 - mmengine - INFO - Epoch(train) [50][80/940] lr: 1.0000e-03 eta: 8:42:04 time: 0.5352 data_time: 0.3385 memory: 8322 grad_norm: 4.3798 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0411 loss: 1.0411 2022/08/01 02:21:45 - mmengine - INFO - Epoch(train) [50][100/940] lr: 1.0000e-03 eta: 8:41:53 time: 0.7305 data_time: 0.5278 memory: 8322 grad_norm: 4.2149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1306 loss: 1.1306 2022/08/01 02:21:57 - mmengine - INFO - Epoch(train) [50][120/940] lr: 1.0000e-03 eta: 8:41:38 time: 0.6050 data_time: 0.3659 memory: 8322 grad_norm: 4.3064 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1107 loss: 1.1107 2022/08/01 02:22:10 - mmengine - INFO - Epoch(train) [50][140/940] lr: 1.0000e-03 eta: 8:41:26 time: 0.6716 data_time: 0.4307 memory: 8322 grad_norm: 4.2928 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1700 loss: 1.1700 2022/08/01 02:22:23 - mmengine - INFO - Epoch(train) [50][160/940] lr: 1.0000e-03 eta: 8:41:12 time: 0.6186 data_time: 0.3786 memory: 8322 grad_norm: 4.2340 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1229 loss: 1.1229 2022/08/01 02:22:37 - mmengine - INFO - Epoch(train) [50][180/940] lr: 1.0000e-03 eta: 8:40:59 time: 0.6888 data_time: 0.4095 memory: 8322 grad_norm: 4.2808 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1886 loss: 1.1886 2022/08/01 02:22:48 - mmengine - INFO - Epoch(train) [50][200/940] lr: 1.0000e-03 eta: 8:40:45 time: 0.5705 data_time: 0.3665 memory: 8322 grad_norm: 4.4085 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2056 loss: 1.2056 2022/08/01 02:23:01 - mmengine - INFO - Epoch(train) [50][220/940] lr: 1.0000e-03 eta: 8:40:31 time: 0.6449 data_time: 0.4016 memory: 8322 grad_norm: 4.1849 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2950 loss: 1.2950 2022/08/01 02:23:15 - mmengine - INFO - Epoch(train) [50][240/940] lr: 1.0000e-03 eta: 8:40:19 time: 0.7016 data_time: 0.4858 memory: 8322 grad_norm: 4.2570 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0965 loss: 1.0965 2022/08/01 02:23:27 - mmengine - INFO - Epoch(train) [50][260/940] lr: 1.0000e-03 eta: 8:40:05 time: 0.5962 data_time: 0.3653 memory: 8322 grad_norm: 4.2706 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0949 loss: 1.0949 2022/08/01 02:23:41 - mmengine - INFO - Epoch(train) [50][280/940] lr: 1.0000e-03 eta: 8:39:53 time: 0.6852 data_time: 0.4120 memory: 8322 grad_norm: 4.3438 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.1884 loss: 1.1884 2022/08/01 02:23:53 - mmengine - INFO - Epoch(train) [50][300/940] lr: 1.0000e-03 eta: 8:39:39 time: 0.6177 data_time: 0.3247 memory: 8322 grad_norm: 4.2694 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1619 loss: 1.1619 2022/08/01 02:24:07 - mmengine - INFO - Epoch(train) [50][320/940] lr: 1.0000e-03 eta: 8:39:27 time: 0.7213 data_time: 0.4547 memory: 8322 grad_norm: 4.3127 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0287 loss: 1.0287 2022/08/01 02:24:19 - mmengine - INFO - Epoch(train) [50][340/940] lr: 1.0000e-03 eta: 8:39:12 time: 0.5611 data_time: 0.2830 memory: 8322 grad_norm: 4.3352 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3614 loss: 1.3614 2022/08/01 02:24:32 - mmengine - INFO - Epoch(train) [50][360/940] lr: 1.0000e-03 eta: 8:38:59 time: 0.6840 data_time: 0.4460 memory: 8322 grad_norm: 4.3265 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1743 loss: 1.1743 2022/08/01 02:24:43 - mmengine - INFO - Epoch(train) [50][380/940] lr: 1.0000e-03 eta: 8:38:44 time: 0.5484 data_time: 0.3107 memory: 8322 grad_norm: 4.2787 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1475 loss: 1.1475 2022/08/01 02:24:57 - mmengine - INFO - Epoch(train) [50][400/940] lr: 1.0000e-03 eta: 8:38:32 time: 0.6988 data_time: 0.2966 memory: 8322 grad_norm: 4.3204 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2258 loss: 1.2258 2022/08/01 02:25:10 - mmengine - INFO - Epoch(train) [50][420/940] lr: 1.0000e-03 eta: 8:38:19 time: 0.6394 data_time: 0.2254 memory: 8322 grad_norm: 4.2967 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.2869 loss: 1.2869 2022/08/01 02:25:24 - mmengine - INFO - Epoch(train) [50][440/940] lr: 1.0000e-03 eta: 8:38:06 time: 0.6764 data_time: 0.2890 memory: 8322 grad_norm: 4.3402 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2009 loss: 1.2009 2022/08/01 02:25:36 - mmengine - INFO - Epoch(train) [50][460/940] lr: 1.0000e-03 eta: 8:37:53 time: 0.6407 data_time: 0.1070 memory: 8322 grad_norm: 4.2930 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/08/01 02:25:49 - mmengine - INFO - Epoch(train) [50][480/940] lr: 1.0000e-03 eta: 8:37:39 time: 0.6345 data_time: 0.2373 memory: 8322 grad_norm: 4.3517 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1527 loss: 1.1527 2022/08/01 02:26:03 - mmengine - INFO - Epoch(train) [50][500/940] lr: 1.0000e-03 eta: 8:37:27 time: 0.6959 data_time: 0.1863 memory: 8322 grad_norm: 4.2804 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1611 loss: 1.1611 2022/08/01 02:26:14 - mmengine - INFO - Epoch(train) [50][520/940] lr: 1.0000e-03 eta: 8:37:12 time: 0.5678 data_time: 0.0529 memory: 8322 grad_norm: 4.2967 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1321 loss: 1.1321 2022/08/01 02:26:27 - mmengine - INFO - Epoch(train) [50][540/940] lr: 1.0000e-03 eta: 8:36:59 time: 0.6412 data_time: 0.1006 memory: 8322 grad_norm: 4.4203 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.2732 loss: 1.2732 2022/08/01 02:26:40 - mmengine - INFO - Epoch(train) [50][560/940] lr: 1.0000e-03 eta: 8:36:45 time: 0.6406 data_time: 0.1770 memory: 8322 grad_norm: 4.3865 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2264 loss: 1.2264 2022/08/01 02:26:53 - mmengine - INFO - Epoch(train) [50][580/940] lr: 1.0000e-03 eta: 8:36:32 time: 0.6652 data_time: 0.1492 memory: 8322 grad_norm: 4.3728 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.1565 loss: 1.1565 2022/08/01 02:27:07 - mmengine - INFO - Epoch(train) [50][600/940] lr: 1.0000e-03 eta: 8:36:20 time: 0.6658 data_time: 0.2326 memory: 8322 grad_norm: 4.3135 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0817 loss: 1.0817 2022/08/01 02:27:19 - mmengine - INFO - Epoch(train) [50][620/940] lr: 1.0000e-03 eta: 8:36:05 time: 0.6026 data_time: 0.0916 memory: 8322 grad_norm: 4.2699 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0751 loss: 1.0751 2022/08/01 02:27:32 - mmengine - INFO - Epoch(train) [50][640/940] lr: 1.0000e-03 eta: 8:35:53 time: 0.6699 data_time: 0.0704 memory: 8322 grad_norm: 4.3237 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0925 loss: 1.0925 2022/08/01 02:27:44 - mmengine - INFO - Epoch(train) [50][660/940] lr: 1.0000e-03 eta: 8:35:38 time: 0.6012 data_time: 0.0646 memory: 8322 grad_norm: 4.2831 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1282 loss: 1.1282 2022/08/01 02:27:59 - mmengine - INFO - Epoch(train) [50][680/940] lr: 1.0000e-03 eta: 8:35:27 time: 0.7249 data_time: 0.0450 memory: 8322 grad_norm: 4.2563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2069 loss: 1.2069 2022/08/01 02:28:10 - mmengine - INFO - Epoch(train) [50][700/940] lr: 1.0000e-03 eta: 8:35:12 time: 0.5591 data_time: 0.0737 memory: 8322 grad_norm: 4.3693 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1036 loss: 1.1036 2022/08/01 02:28:27 - mmengine - INFO - Epoch(train) [50][720/940] lr: 1.0000e-03 eta: 8:35:02 time: 0.8382 data_time: 0.0945 memory: 8322 grad_norm: 4.4558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1326 loss: 1.1326 2022/08/01 02:28:37 - mmengine - INFO - Epoch(train) [50][740/940] lr: 1.0000e-03 eta: 8:34:47 time: 0.5203 data_time: 0.0270 memory: 8322 grad_norm: 4.3296 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1173 loss: 1.1173 2022/08/01 02:28:50 - mmengine - INFO - Epoch(train) [50][760/940] lr: 1.0000e-03 eta: 8:34:34 time: 0.6659 data_time: 0.0382 memory: 8322 grad_norm: 4.3737 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2467 loss: 1.2467 2022/08/01 02:29:01 - mmengine - INFO - Epoch(train) [50][780/940] lr: 1.0000e-03 eta: 8:34:18 time: 0.5132 data_time: 0.0692 memory: 8322 grad_norm: 4.3444 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2007 loss: 1.2007 2022/08/01 02:29:15 - mmengine - INFO - Epoch(train) [50][800/940] lr: 1.0000e-03 eta: 8:34:06 time: 0.7317 data_time: 0.1058 memory: 8322 grad_norm: 4.2954 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3087 loss: 1.3087 2022/08/01 02:29:28 - mmengine - INFO - Epoch(train) [50][820/940] lr: 1.0000e-03 eta: 8:33:52 time: 0.6179 data_time: 0.0403 memory: 8322 grad_norm: 4.2969 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2799 loss: 1.2799 2022/08/01 02:29:42 - mmengine - INFO - Epoch(train) [50][840/940] lr: 1.0000e-03 eta: 8:33:40 time: 0.7051 data_time: 0.0351 memory: 8322 grad_norm: 4.3874 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1660 loss: 1.1660 2022/08/01 02:29:53 - mmengine - INFO - Epoch(train) [50][860/940] lr: 1.0000e-03 eta: 8:33:26 time: 0.5651 data_time: 0.0272 memory: 8322 grad_norm: 4.4019 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1752 loss: 1.1752 2022/08/01 02:30:07 - mmengine - INFO - Epoch(train) [50][880/940] lr: 1.0000e-03 eta: 8:33:14 time: 0.7168 data_time: 0.0342 memory: 8322 grad_norm: 4.3954 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1603 loss: 1.1603 2022/08/01 02:30:19 - mmengine - INFO - Epoch(train) [50][900/940] lr: 1.0000e-03 eta: 8:32:59 time: 0.5688 data_time: 0.0314 memory: 8322 grad_norm: 4.2650 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1360 loss: 1.1360 2022/08/01 02:30:32 - mmengine - INFO - Epoch(train) [50][920/940] lr: 1.0000e-03 eta: 8:32:46 time: 0.6813 data_time: 0.0771 memory: 8322 grad_norm: 4.2891 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1420 loss: 1.1420 2022/08/01 02:30:42 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 02:30:42 - mmengine - INFO - Epoch(train) [50][940/940] lr: 1.0000e-03 eta: 8:32:30 time: 0.4949 data_time: 0.0660 memory: 8322 grad_norm: 4.4019 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/08/01 02:30:56 - mmengine - INFO - Epoch(val) [50][20/78] eta: 0:00:39 time: 0.6865 data_time: 0.6216 memory: 1463 2022/08/01 02:31:04 - mmengine - INFO - Epoch(val) [50][40/78] eta: 0:00:16 time: 0.4216 data_time: 0.3578 memory: 1463 2022/08/01 02:31:19 - mmengine - INFO - Epoch(val) [50][60/78] eta: 0:00:13 time: 0.7258 data_time: 0.6634 memory: 1463 2022/08/01 02:31:28 - mmengine - INFO - Epoch(val) [50][78/78] acc/top1: 0.6876 acc/top5: 0.8819 acc/mean1: 0.6874 2022/08/01 02:31:46 - mmengine - INFO - Epoch(train) [51][20/940] lr: 1.0000e-03 eta: 8:32:21 time: 0.8501 data_time: 0.4133 memory: 8322 grad_norm: 4.2086 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2063 loss: 1.2063 2022/08/01 02:31:57 - mmengine - INFO - Epoch(train) [51][40/940] lr: 1.0000e-03 eta: 8:32:06 time: 0.5546 data_time: 0.1900 memory: 8322 grad_norm: 4.1666 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0922 loss: 1.0922 2022/08/01 02:32:11 - mmengine - INFO - Epoch(train) [51][60/940] lr: 1.0000e-03 eta: 8:31:54 time: 0.7087 data_time: 0.1940 memory: 8322 grad_norm: 4.3652 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1126 loss: 1.1126 2022/08/01 02:32:22 - mmengine - INFO - Epoch(train) [51][80/940] lr: 1.0000e-03 eta: 8:31:38 time: 0.5401 data_time: 0.1725 memory: 8322 grad_norm: 4.3667 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1959 loss: 1.1959 2022/08/01 02:32:37 - mmengine - INFO - Epoch(train) [51][100/940] lr: 1.0000e-03 eta: 8:31:28 time: 0.7646 data_time: 0.1458 memory: 8322 grad_norm: 4.3337 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2695 loss: 1.2695 2022/08/01 02:32:48 - mmengine - INFO - Epoch(train) [51][120/940] lr: 1.0000e-03 eta: 8:31:12 time: 0.5483 data_time: 0.0342 memory: 8322 grad_norm: 4.2189 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0959 loss: 1.0959 2022/08/01 02:33:02 - mmengine - INFO - Epoch(train) [51][140/940] lr: 1.0000e-03 eta: 8:31:01 time: 0.7174 data_time: 0.0540 memory: 8322 grad_norm: 4.2305 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2340 loss: 1.2340 2022/08/01 02:33:13 - mmengine - INFO - Epoch(train) [51][160/940] lr: 1.0000e-03 eta: 8:30:45 time: 0.5423 data_time: 0.0325 memory: 8322 grad_norm: 4.3258 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/08/01 02:33:28 - mmengine - INFO - Epoch(train) [51][180/940] lr: 1.0000e-03 eta: 8:30:34 time: 0.7418 data_time: 0.0877 memory: 8322 grad_norm: 4.3138 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2051 loss: 1.2051 2022/08/01 02:33:39 - mmengine - INFO - Epoch(train) [51][200/940] lr: 1.0000e-03 eta: 8:30:19 time: 0.5779 data_time: 0.0852 memory: 8322 grad_norm: 4.3294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0754 loss: 1.0754 2022/08/01 02:33:54 - mmengine - INFO - Epoch(train) [51][220/940] lr: 1.0000e-03 eta: 8:30:08 time: 0.7273 data_time: 0.0760 memory: 8322 grad_norm: 4.3105 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1539 loss: 1.1539 2022/08/01 02:34:05 - mmengine - INFO - Epoch(train) [51][240/940] lr: 1.0000e-03 eta: 8:29:52 time: 0.5455 data_time: 0.0344 memory: 8322 grad_norm: 4.3420 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1789 loss: 1.1789 2022/08/01 02:34:19 - mmengine - INFO - Epoch(train) [51][260/940] lr: 1.0000e-03 eta: 8:29:41 time: 0.7233 data_time: 0.0733 memory: 8322 grad_norm: 4.3758 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3184 loss: 1.3184 2022/08/01 02:34:31 - mmengine - INFO - Epoch(train) [51][280/940] lr: 1.0000e-03 eta: 8:29:26 time: 0.5709 data_time: 0.0469 memory: 8322 grad_norm: 4.3007 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1424 loss: 1.1424 2022/08/01 02:34:44 - mmengine - INFO - Epoch(train) [51][300/940] lr: 1.0000e-03 eta: 8:29:13 time: 0.6510 data_time: 0.0780 memory: 8322 grad_norm: 4.3756 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2366 loss: 1.2366 2022/08/01 02:34:56 - mmengine - INFO - Epoch(train) [51][320/940] lr: 1.0000e-03 eta: 8:28:59 time: 0.6129 data_time: 0.0707 memory: 8322 grad_norm: 4.3857 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/08/01 02:35:09 - mmengine - INFO - Epoch(train) [51][340/940] lr: 1.0000e-03 eta: 8:28:46 time: 0.6655 data_time: 0.1339 memory: 8322 grad_norm: 4.3579 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1722 loss: 1.1722 2022/08/01 02:35:21 - mmengine - INFO - Epoch(train) [51][360/940] lr: 1.0000e-03 eta: 8:28:32 time: 0.6023 data_time: 0.1252 memory: 8322 grad_norm: 4.2623 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1007 loss: 1.1007 2022/08/01 02:35:35 - mmengine - INFO - Epoch(train) [51][380/940] lr: 1.0000e-03 eta: 8:28:19 time: 0.6774 data_time: 0.0347 memory: 8322 grad_norm: 4.2983 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1522 loss: 1.1522 2022/08/01 02:35:47 - mmengine - INFO - Epoch(train) [51][400/940] lr: 1.0000e-03 eta: 8:28:05 time: 0.6066 data_time: 0.0426 memory: 8322 grad_norm: 4.3295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9913 loss: 0.9913 2022/08/01 02:36:01 - mmengine - INFO - Epoch(train) [51][420/940] lr: 1.0000e-03 eta: 8:27:53 time: 0.7002 data_time: 0.0373 memory: 8322 grad_norm: 4.2568 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0969 loss: 1.0969 2022/08/01 02:36:13 - mmengine - INFO - Epoch(train) [51][440/940] lr: 1.0000e-03 eta: 8:27:39 time: 0.5863 data_time: 0.0301 memory: 8322 grad_norm: 4.3202 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2369 loss: 1.2369 2022/08/01 02:36:28 - mmengine - INFO - Epoch(train) [51][460/940] lr: 1.0000e-03 eta: 8:27:28 time: 0.7576 data_time: 0.0337 memory: 8322 grad_norm: 4.3066 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1605 loss: 1.1605 2022/08/01 02:36:39 - mmengine - INFO - Epoch(train) [51][480/940] lr: 1.0000e-03 eta: 8:27:13 time: 0.5686 data_time: 0.0325 memory: 8322 grad_norm: 4.2754 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1545 loss: 1.1545 2022/08/01 02:36:54 - mmengine - INFO - Epoch(train) [51][500/940] lr: 1.0000e-03 eta: 8:27:01 time: 0.7071 data_time: 0.0706 memory: 8322 grad_norm: 4.2702 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0982 loss: 1.0982 2022/08/01 02:37:04 - mmengine - INFO - Epoch(train) [51][520/940] lr: 1.0000e-03 eta: 8:26:46 time: 0.5398 data_time: 0.1419 memory: 8322 grad_norm: 4.2735 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0826 loss: 1.0826 2022/08/01 02:37:20 - mmengine - INFO - Epoch(train) [51][540/940] lr: 1.0000e-03 eta: 8:26:35 time: 0.7641 data_time: 0.2076 memory: 8322 grad_norm: 4.3243 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1302 loss: 1.1302 2022/08/01 02:37:31 - mmengine - INFO - Epoch(train) [51][560/940] lr: 1.0000e-03 eta: 8:26:19 time: 0.5493 data_time: 0.1746 memory: 8322 grad_norm: 4.2343 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.1994 loss: 1.1994 2022/08/01 02:37:46 - mmengine - INFO - Epoch(train) [51][580/940] lr: 1.0000e-03 eta: 8:26:09 time: 0.7893 data_time: 0.3614 memory: 8322 grad_norm: 4.3241 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2577 loss: 1.2577 2022/08/01 02:37:55 - mmengine - INFO - Epoch(train) [51][600/940] lr: 1.0000e-03 eta: 8:25:52 time: 0.4458 data_time: 0.1853 memory: 8322 grad_norm: 4.4064 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1711 loss: 1.1711 2022/08/01 02:38:09 - mmengine - INFO - Epoch(train) [51][620/940] lr: 1.0000e-03 eta: 8:25:40 time: 0.6992 data_time: 0.1876 memory: 8322 grad_norm: 4.3339 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2716 loss: 1.2716 2022/08/01 02:38:21 - mmengine - INFO - Epoch(train) [51][640/940] lr: 1.0000e-03 eta: 8:25:25 time: 0.5654 data_time: 0.1333 memory: 8322 grad_norm: 4.2661 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.2215 loss: 1.2215 2022/08/01 02:38:34 - mmengine - INFO - Epoch(train) [51][660/940] lr: 1.0000e-03 eta: 8:25:12 time: 0.6784 data_time: 0.1192 memory: 8322 grad_norm: 4.2843 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.1720 loss: 1.1720 2022/08/01 02:38:49 - mmengine - INFO - Epoch(train) [51][680/940] lr: 1.0000e-03 eta: 8:25:00 time: 0.7120 data_time: 0.0310 memory: 8322 grad_norm: 4.2881 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0830 loss: 1.0830 2022/08/01 02:39:01 - mmengine - INFO - Epoch(train) [51][700/940] lr: 1.0000e-03 eta: 8:24:47 time: 0.6309 data_time: 0.0422 memory: 8322 grad_norm: 4.3772 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1545 loss: 1.1545 2022/08/01 02:39:15 - mmengine - INFO - Epoch(train) [51][720/940] lr: 1.0000e-03 eta: 8:24:34 time: 0.6916 data_time: 0.0283 memory: 8322 grad_norm: 4.3992 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2228 loss: 1.2228 2022/08/01 02:39:26 - mmengine - INFO - Epoch(train) [51][740/940] lr: 1.0000e-03 eta: 8:24:20 time: 0.5718 data_time: 0.0371 memory: 8322 grad_norm: 4.3768 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1206 loss: 1.1206 2022/08/01 02:39:40 - mmengine - INFO - Epoch(train) [51][760/940] lr: 1.0000e-03 eta: 8:24:07 time: 0.6966 data_time: 0.0356 memory: 8322 grad_norm: 4.3553 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1230 loss: 1.1230 2022/08/01 02:39:53 - mmengine - INFO - Epoch(train) [51][780/940] lr: 1.0000e-03 eta: 8:23:54 time: 0.6432 data_time: 0.1387 memory: 8322 grad_norm: 4.2740 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1509 loss: 1.1509 2022/08/01 02:40:07 - mmengine - INFO - Epoch(train) [51][800/940] lr: 1.0000e-03 eta: 8:23:42 time: 0.6950 data_time: 0.1799 memory: 8322 grad_norm: 4.3088 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1282 loss: 1.1282 2022/08/01 02:40:20 - mmengine - INFO - Epoch(train) [51][820/940] lr: 1.0000e-03 eta: 8:23:28 time: 0.6237 data_time: 0.1188 memory: 8322 grad_norm: 4.3588 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1403 loss: 1.1403 2022/08/01 02:40:32 - mmengine - INFO - Epoch(train) [51][840/940] lr: 1.0000e-03 eta: 8:23:14 time: 0.6202 data_time: 0.2048 memory: 8322 grad_norm: 4.3862 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1883 loss: 1.1883 2022/08/01 02:40:45 - mmengine - INFO - Epoch(train) [51][860/940] lr: 1.0000e-03 eta: 8:23:02 time: 0.6707 data_time: 0.2914 memory: 8322 grad_norm: 4.4226 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2979 loss: 1.2979 2022/08/01 02:40:58 - mmengine - INFO - Epoch(train) [51][880/940] lr: 1.0000e-03 eta: 8:22:48 time: 0.6100 data_time: 0.2166 memory: 8322 grad_norm: 4.3408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0763 loss: 1.0763 2022/08/01 02:41:10 - mmengine - INFO - Epoch(train) [51][900/940] lr: 1.0000e-03 eta: 8:22:34 time: 0.6299 data_time: 0.2944 memory: 8322 grad_norm: 4.2565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/08/01 02:41:23 - mmengine - INFO - Epoch(train) [51][920/940] lr: 1.0000e-03 eta: 8:22:21 time: 0.6330 data_time: 0.2675 memory: 8322 grad_norm: 4.3214 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2112 loss: 1.2112 2022/08/01 02:41:34 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 02:41:34 - mmengine - INFO - Epoch(train) [51][940/940] lr: 1.0000e-03 eta: 8:22:05 time: 0.5385 data_time: 0.1761 memory: 8322 grad_norm: 4.6525 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2637 loss: 1.2637 2022/08/01 02:41:34 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/08/01 02:41:51 - mmengine - INFO - Epoch(val) [51][20/78] eta: 0:00:42 time: 0.7346 data_time: 0.6703 memory: 1463 2022/08/01 02:41:59 - mmengine - INFO - Epoch(val) [51][40/78] eta: 0:00:15 time: 0.4189 data_time: 0.3569 memory: 1463 2022/08/01 02:42:12 - mmengine - INFO - Epoch(val) [51][60/78] eta: 0:00:11 time: 0.6346 data_time: 0.5714 memory: 1463 2022/08/01 02:42:21 - mmengine - INFO - Epoch(val) [51][78/78] acc/top1: 0.6904 acc/top5: 0.8827 acc/mean1: 0.6903 2022/08/01 02:42:21 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_50.pth is removed 2022/08/01 02:42:22 - mmengine - INFO - The best checkpoint with 0.6904 acc/top1 at 52 epoch is saved to best_acc/top1_epoch_52.pth. 2022/08/01 02:42:39 - mmengine - INFO - Epoch(train) [52][20/940] lr: 1.0000e-03 eta: 8:21:56 time: 0.8365 data_time: 0.6339 memory: 8322 grad_norm: 4.2883 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0871 loss: 1.0871 2022/08/01 02:42:50 - mmengine - INFO - Epoch(train) [52][40/940] lr: 1.0000e-03 eta: 8:21:41 time: 0.5387 data_time: 0.3313 memory: 8322 grad_norm: 4.2735 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0421 loss: 1.0421 2022/08/01 02:43:04 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 02:43:04 - mmengine - INFO - Epoch(train) [52][60/940] lr: 1.0000e-03 eta: 8:21:29 time: 0.7171 data_time: 0.5100 memory: 8322 grad_norm: 4.3548 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2015 loss: 1.2015 2022/08/01 02:43:15 - mmengine - INFO - Epoch(train) [52][80/940] lr: 1.0000e-03 eta: 8:21:14 time: 0.5616 data_time: 0.3642 memory: 8322 grad_norm: 4.2653 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1378 loss: 1.1378 2022/08/01 02:43:30 - mmengine - INFO - Epoch(train) [52][100/940] lr: 1.0000e-03 eta: 8:21:02 time: 0.7273 data_time: 0.4303 memory: 8322 grad_norm: 4.2937 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1129 loss: 1.1129 2022/08/01 02:43:42 - mmengine - INFO - Epoch(train) [52][120/940] lr: 1.0000e-03 eta: 8:20:48 time: 0.5964 data_time: 0.2766 memory: 8322 grad_norm: 4.3978 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1959 loss: 1.1959 2022/08/01 02:43:58 - mmengine - INFO - Epoch(train) [52][140/940] lr: 1.0000e-03 eta: 8:20:38 time: 0.8039 data_time: 0.5575 memory: 8322 grad_norm: 4.3206 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0835 loss: 1.0835 2022/08/01 02:44:10 - mmengine - INFO - Epoch(train) [52][160/940] lr: 1.0000e-03 eta: 8:20:23 time: 0.5852 data_time: 0.3426 memory: 8322 grad_norm: 4.3906 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1582 loss: 1.1582 2022/08/01 02:44:22 - mmengine - INFO - Epoch(train) [52][180/940] lr: 1.0000e-03 eta: 8:20:10 time: 0.6257 data_time: 0.4033 memory: 8322 grad_norm: 4.3164 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2145 loss: 1.2145 2022/08/01 02:44:33 - mmengine - INFO - Epoch(train) [52][200/940] lr: 1.0000e-03 eta: 8:19:55 time: 0.5552 data_time: 0.3060 memory: 8322 grad_norm: 4.2789 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1790 loss: 1.1790 2022/08/01 02:44:48 - mmengine - INFO - Epoch(train) [52][220/940] lr: 1.0000e-03 eta: 8:19:44 time: 0.7538 data_time: 0.4776 memory: 8322 grad_norm: 4.3624 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1216 loss: 1.1216 2022/08/01 02:44:59 - mmengine - INFO - Epoch(train) [52][240/940] lr: 1.0000e-03 eta: 8:19:28 time: 0.5253 data_time: 0.2779 memory: 8322 grad_norm: 4.2853 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0503 loss: 1.0503 2022/08/01 02:45:13 - mmengine - INFO - Epoch(train) [52][260/940] lr: 1.0000e-03 eta: 8:19:16 time: 0.7108 data_time: 0.3359 memory: 8322 grad_norm: 4.2401 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1956 loss: 1.1956 2022/08/01 02:45:25 - mmengine - INFO - Epoch(train) [52][280/940] lr: 1.0000e-03 eta: 8:19:02 time: 0.6047 data_time: 0.1748 memory: 8322 grad_norm: 4.3337 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1923 loss: 1.1923 2022/08/01 02:45:39 - mmengine - INFO - Epoch(train) [52][300/940] lr: 1.0000e-03 eta: 8:18:50 time: 0.6937 data_time: 0.1042 memory: 8322 grad_norm: 4.4447 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1542 loss: 1.1542 2022/08/01 02:45:51 - mmengine - INFO - Epoch(train) [52][320/940] lr: 1.0000e-03 eta: 8:18:36 time: 0.6240 data_time: 0.0645 memory: 8322 grad_norm: 4.3257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2190 loss: 1.2190 2022/08/01 02:46:05 - mmengine - INFO - Epoch(train) [52][340/940] lr: 1.0000e-03 eta: 8:18:24 time: 0.6870 data_time: 0.0353 memory: 8322 grad_norm: 4.3305 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2146 loss: 1.2146 2022/08/01 02:46:17 - mmengine - INFO - Epoch(train) [52][360/940] lr: 1.0000e-03 eta: 8:18:09 time: 0.5911 data_time: 0.0380 memory: 8322 grad_norm: 4.3897 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0796 loss: 1.0796 2022/08/01 02:46:32 - mmengine - INFO - Epoch(train) [52][380/940] lr: 1.0000e-03 eta: 8:17:58 time: 0.7336 data_time: 0.3120 memory: 8322 grad_norm: 4.3221 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1116 loss: 1.1116 2022/08/01 02:46:43 - mmengine - INFO - Epoch(train) [52][400/940] lr: 1.0000e-03 eta: 8:17:43 time: 0.5816 data_time: 0.3009 memory: 8322 grad_norm: 4.2904 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2141 loss: 1.2141 2022/08/01 02:46:57 - mmengine - INFO - Epoch(train) [52][420/940] lr: 1.0000e-03 eta: 8:17:30 time: 0.6634 data_time: 0.3179 memory: 8322 grad_norm: 4.4513 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2365 loss: 1.2365 2022/08/01 02:47:09 - mmengine - INFO - Epoch(train) [52][440/940] lr: 1.0000e-03 eta: 8:17:17 time: 0.6233 data_time: 0.2559 memory: 8322 grad_norm: 4.3406 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2142 loss: 1.2142 2022/08/01 02:47:23 - mmengine - INFO - Epoch(train) [52][460/940] lr: 1.0000e-03 eta: 8:17:04 time: 0.6711 data_time: 0.3647 memory: 8322 grad_norm: 4.3017 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2157 loss: 1.2157 2022/08/01 02:47:34 - mmengine - INFO - Epoch(train) [52][480/940] lr: 1.0000e-03 eta: 8:16:49 time: 0.5641 data_time: 0.2025 memory: 8322 grad_norm: 4.3658 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1352 loss: 1.1352 2022/08/01 02:47:49 - mmengine - INFO - Epoch(train) [52][500/940] lr: 1.0000e-03 eta: 8:16:38 time: 0.7469 data_time: 0.2085 memory: 8322 grad_norm: 4.2637 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0451 loss: 1.0451 2022/08/01 02:48:01 - mmengine - INFO - Epoch(train) [52][520/940] lr: 1.0000e-03 eta: 8:16:24 time: 0.5941 data_time: 0.0866 memory: 8322 grad_norm: 4.3533 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2023 loss: 1.2023 2022/08/01 02:48:15 - mmengine - INFO - Epoch(train) [52][540/940] lr: 1.0000e-03 eta: 8:16:11 time: 0.7052 data_time: 0.0496 memory: 8322 grad_norm: 4.3326 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0801 loss: 1.0801 2022/08/01 02:48:26 - mmengine - INFO - Epoch(train) [52][560/940] lr: 1.0000e-03 eta: 8:15:57 time: 0.5676 data_time: 0.0311 memory: 8322 grad_norm: 4.3660 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1767 loss: 1.1767 2022/08/01 02:48:40 - mmengine - INFO - Epoch(train) [52][580/940] lr: 1.0000e-03 eta: 8:15:44 time: 0.6705 data_time: 0.0945 memory: 8322 grad_norm: 4.2852 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0952 loss: 1.0952 2022/08/01 02:48:52 - mmengine - INFO - Epoch(train) [52][600/940] lr: 1.0000e-03 eta: 8:15:31 time: 0.6331 data_time: 0.1800 memory: 8322 grad_norm: 4.4047 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2757 loss: 1.2757 2022/08/01 02:49:05 - mmengine - INFO - Epoch(train) [52][620/940] lr: 1.0000e-03 eta: 8:15:17 time: 0.6471 data_time: 0.1263 memory: 8322 grad_norm: 4.4340 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.1669 loss: 1.1669 2022/08/01 02:49:17 - mmengine - INFO - Epoch(train) [52][640/940] lr: 1.0000e-03 eta: 8:15:03 time: 0.6094 data_time: 0.1663 memory: 8322 grad_norm: 4.4102 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2252 loss: 1.2252 2022/08/01 02:49:31 - mmengine - INFO - Epoch(train) [52][660/940] lr: 1.0000e-03 eta: 8:14:51 time: 0.6714 data_time: 0.0289 memory: 8322 grad_norm: 4.3686 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1164 loss: 1.1164 2022/08/01 02:49:44 - mmengine - INFO - Epoch(train) [52][680/940] lr: 1.0000e-03 eta: 8:14:37 time: 0.6496 data_time: 0.0355 memory: 8322 grad_norm: 4.3559 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1833 loss: 1.1833 2022/08/01 02:49:56 - mmengine - INFO - Epoch(train) [52][700/940] lr: 1.0000e-03 eta: 8:14:23 time: 0.5906 data_time: 0.0504 memory: 8322 grad_norm: 4.3725 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.1466 loss: 1.1466 2022/08/01 02:50:11 - mmengine - INFO - Epoch(train) [52][720/940] lr: 1.0000e-03 eta: 8:14:12 time: 0.7646 data_time: 0.0873 memory: 8322 grad_norm: 4.4547 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1055 loss: 1.1055 2022/08/01 02:50:22 - mmengine - INFO - Epoch(train) [52][740/940] lr: 1.0000e-03 eta: 8:13:57 time: 0.5592 data_time: 0.0248 memory: 8322 grad_norm: 4.2985 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1160 loss: 1.1160 2022/08/01 02:50:37 - mmengine - INFO - Epoch(train) [52][760/940] lr: 1.0000e-03 eta: 8:13:45 time: 0.7120 data_time: 0.0353 memory: 8322 grad_norm: 4.4197 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1491 loss: 1.1491 2022/08/01 02:50:47 - mmengine - INFO - Epoch(train) [52][780/940] lr: 1.0000e-03 eta: 8:13:30 time: 0.5529 data_time: 0.0705 memory: 8322 grad_norm: 4.4363 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2194 loss: 1.2194 2022/08/01 02:51:02 - mmengine - INFO - Epoch(train) [52][800/940] lr: 1.0000e-03 eta: 8:13:19 time: 0.7328 data_time: 0.0515 memory: 8322 grad_norm: 4.3071 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1944 loss: 1.1944 2022/08/01 02:51:13 - mmengine - INFO - Epoch(train) [52][820/940] lr: 1.0000e-03 eta: 8:13:04 time: 0.5599 data_time: 0.0289 memory: 8322 grad_norm: 4.2257 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2196 loss: 1.2196 2022/08/01 02:51:28 - mmengine - INFO - Epoch(train) [52][840/940] lr: 1.0000e-03 eta: 8:12:52 time: 0.7341 data_time: 0.1271 memory: 8322 grad_norm: 4.3729 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1468 loss: 1.1468 2022/08/01 02:51:40 - mmengine - INFO - Epoch(train) [52][860/940] lr: 1.0000e-03 eta: 8:12:38 time: 0.5805 data_time: 0.0811 memory: 8322 grad_norm: 4.2792 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.2074 loss: 1.2074 2022/08/01 02:51:52 - mmengine - INFO - Epoch(train) [52][880/940] lr: 1.0000e-03 eta: 8:12:25 time: 0.6431 data_time: 0.1950 memory: 8322 grad_norm: 4.4341 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2852 loss: 1.2852 2022/08/01 02:52:05 - mmengine - INFO - Epoch(train) [52][900/940] lr: 1.0000e-03 eta: 8:12:11 time: 0.6333 data_time: 0.1214 memory: 8322 grad_norm: 4.4247 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 1.0763 loss: 1.0763 2022/08/01 02:52:18 - mmengine - INFO - Epoch(train) [52][920/940] lr: 1.0000e-03 eta: 8:11:58 time: 0.6376 data_time: 0.0696 memory: 8322 grad_norm: 4.3368 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1483 loss: 1.1483 2022/08/01 02:52:31 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 02:52:31 - mmengine - INFO - Epoch(train) [52][940/940] lr: 1.0000e-03 eta: 8:11:44 time: 0.6344 data_time: 0.0204 memory: 8322 grad_norm: 4.6947 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2223 loss: 1.2223 2022/08/01 02:52:44 - mmengine - INFO - Epoch(val) [52][20/78] eta: 0:00:38 time: 0.6627 data_time: 0.5963 memory: 1463 2022/08/01 02:52:53 - mmengine - INFO - Epoch(val) [52][40/78] eta: 0:00:16 time: 0.4344 data_time: 0.3719 memory: 1463 2022/08/01 02:53:06 - mmengine - INFO - Epoch(val) [52][60/78] eta: 0:00:11 time: 0.6497 data_time: 0.5827 memory: 1463 2022/08/01 02:53:16 - mmengine - INFO - Epoch(val) [52][78/78] acc/top1: 0.6917 acc/top5: 0.8840 acc/mean1: 0.6916 2022/08/01 02:53:16 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_52.pth is removed 2022/08/01 02:53:18 - mmengine - INFO - The best checkpoint with 0.6917 acc/top1 at 53 epoch is saved to best_acc/top1_epoch_53.pth. 2022/08/01 02:53:34 - mmengine - INFO - Epoch(train) [53][20/940] lr: 1.0000e-03 eta: 8:11:34 time: 0.7798 data_time: 0.5628 memory: 8322 grad_norm: 4.3502 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3969 loss: 1.3969 2022/08/01 02:53:44 - mmengine - INFO - Epoch(train) [53][40/940] lr: 1.0000e-03 eta: 8:11:18 time: 0.5324 data_time: 0.2529 memory: 8322 grad_norm: 4.3248 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0596 loss: 1.0596 2022/08/01 02:54:00 - mmengine - INFO - Epoch(train) [53][60/940] lr: 1.0000e-03 eta: 8:11:07 time: 0.7718 data_time: 0.2562 memory: 8322 grad_norm: 4.3097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1368 loss: 1.1368 2022/08/01 02:54:11 - mmengine - INFO - Epoch(train) [53][80/940] lr: 1.0000e-03 eta: 8:10:53 time: 0.5592 data_time: 0.1544 memory: 8322 grad_norm: 4.2675 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2274 loss: 1.2274 2022/08/01 02:54:27 - mmengine - INFO - Epoch(train) [53][100/940] lr: 1.0000e-03 eta: 8:10:42 time: 0.7732 data_time: 0.3467 memory: 8322 grad_norm: 4.3756 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1992 loss: 1.1992 2022/08/01 02:54:36 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 02:54:36 - mmengine - INFO - Epoch(train) [53][120/940] lr: 1.0000e-03 eta: 8:10:25 time: 0.4806 data_time: 0.1060 memory: 8322 grad_norm: 4.3284 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9890 loss: 0.9890 2022/08/01 02:54:51 - mmengine - INFO - Epoch(train) [53][140/940] lr: 1.0000e-03 eta: 8:10:14 time: 0.7375 data_time: 0.2022 memory: 8322 grad_norm: 4.3172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0728 loss: 1.0728 2022/08/01 02:55:03 - mmengine - INFO - Epoch(train) [53][160/940] lr: 1.0000e-03 eta: 8:10:00 time: 0.5923 data_time: 0.0405 memory: 8322 grad_norm: 4.3888 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0721 loss: 1.0721 2022/08/01 02:55:19 - mmengine - INFO - Epoch(train) [53][180/940] lr: 1.0000e-03 eta: 8:09:50 time: 0.8137 data_time: 0.0600 memory: 8322 grad_norm: 4.4231 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2492 loss: 1.2492 2022/08/01 02:55:31 - mmengine - INFO - Epoch(train) [53][200/940] lr: 1.0000e-03 eta: 8:09:36 time: 0.6035 data_time: 0.0364 memory: 8322 grad_norm: 4.2914 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1436 loss: 1.1436 2022/08/01 02:55:45 - mmengine - INFO - Epoch(train) [53][220/940] lr: 1.0000e-03 eta: 8:09:24 time: 0.7177 data_time: 0.0403 memory: 8322 grad_norm: 4.4038 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2359 loss: 1.2359 2022/08/01 02:55:56 - mmengine - INFO - Epoch(train) [53][240/940] lr: 1.0000e-03 eta: 8:09:09 time: 0.5460 data_time: 0.0374 memory: 8322 grad_norm: 4.2768 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1026 loss: 1.1026 2022/08/01 02:56:10 - mmengine - INFO - Epoch(train) [53][260/940] lr: 1.0000e-03 eta: 8:08:56 time: 0.7016 data_time: 0.0482 memory: 8322 grad_norm: 4.3379 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1045 loss: 1.1045 2022/08/01 02:56:23 - mmengine - INFO - Epoch(train) [53][280/940] lr: 1.0000e-03 eta: 8:08:43 time: 0.6146 data_time: 0.0413 memory: 8322 grad_norm: 4.3119 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1782 loss: 1.1782 2022/08/01 02:56:36 - mmengine - INFO - Epoch(train) [53][300/940] lr: 1.0000e-03 eta: 8:08:29 time: 0.6530 data_time: 0.0356 memory: 8322 grad_norm: 4.3618 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1338 loss: 1.1338 2022/08/01 02:56:46 - mmengine - INFO - Epoch(train) [53][320/940] lr: 1.0000e-03 eta: 8:08:14 time: 0.5203 data_time: 0.0408 memory: 8322 grad_norm: 4.3698 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2999 loss: 1.2999 2022/08/01 02:57:00 - mmengine - INFO - Epoch(train) [53][340/940] lr: 1.0000e-03 eta: 8:08:02 time: 0.7042 data_time: 0.1867 memory: 8322 grad_norm: 4.3570 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1095 loss: 1.1095 2022/08/01 02:57:12 - mmengine - INFO - Epoch(train) [53][360/940] lr: 1.0000e-03 eta: 8:07:47 time: 0.5767 data_time: 0.1207 memory: 8322 grad_norm: 4.4327 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1221 loss: 1.1221 2022/08/01 02:57:27 - mmengine - INFO - Epoch(train) [53][380/940] lr: 1.0000e-03 eta: 8:07:36 time: 0.7497 data_time: 0.0459 memory: 8322 grad_norm: 4.3842 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2421 loss: 1.2421 2022/08/01 02:57:38 - mmengine - INFO - Epoch(train) [53][400/940] lr: 1.0000e-03 eta: 8:07:22 time: 0.5797 data_time: 0.0359 memory: 8322 grad_norm: 4.3981 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1284 loss: 1.1284 2022/08/01 02:57:53 - mmengine - INFO - Epoch(train) [53][420/940] lr: 1.0000e-03 eta: 8:07:10 time: 0.7406 data_time: 0.0413 memory: 8322 grad_norm: 4.2858 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1874 loss: 1.1874 2022/08/01 02:58:03 - mmengine - INFO - Epoch(train) [53][440/940] lr: 1.0000e-03 eta: 8:06:54 time: 0.5113 data_time: 0.0384 memory: 8322 grad_norm: 4.3558 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2007 loss: 1.2007 2022/08/01 02:58:19 - mmengine - INFO - Epoch(train) [53][460/940] lr: 1.0000e-03 eta: 8:06:44 time: 0.7982 data_time: 0.0462 memory: 8322 grad_norm: 4.3175 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1355 loss: 1.1355 2022/08/01 02:58:31 - mmengine - INFO - Epoch(train) [53][480/940] lr: 1.0000e-03 eta: 8:06:29 time: 0.5537 data_time: 0.0370 memory: 8322 grad_norm: 4.3424 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0972 loss: 1.0972 2022/08/01 02:58:45 - mmengine - INFO - Epoch(train) [53][500/940] lr: 1.0000e-03 eta: 8:06:17 time: 0.7246 data_time: 0.0323 memory: 8322 grad_norm: 4.4381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2173 loss: 1.2173 2022/08/01 02:58:57 - mmengine - INFO - Epoch(train) [53][520/940] lr: 1.0000e-03 eta: 8:06:03 time: 0.5920 data_time: 0.0390 memory: 8322 grad_norm: 4.3147 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2433 loss: 1.2433 2022/08/01 02:59:11 - mmengine - INFO - Epoch(train) [53][540/940] lr: 1.0000e-03 eta: 8:05:51 time: 0.6981 data_time: 0.0337 memory: 8322 grad_norm: 4.3929 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1916 loss: 1.1916 2022/08/01 02:59:23 - mmengine - INFO - Epoch(train) [53][560/940] lr: 1.0000e-03 eta: 8:05:37 time: 0.6152 data_time: 0.0346 memory: 8322 grad_norm: 4.3709 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0539 loss: 1.0539 2022/08/01 02:59:37 - mmengine - INFO - Epoch(train) [53][580/940] lr: 1.0000e-03 eta: 8:05:24 time: 0.6841 data_time: 0.0333 memory: 8322 grad_norm: 4.3579 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1186 loss: 1.1186 2022/08/01 02:59:47 - mmengine - INFO - Epoch(train) [53][600/940] lr: 1.0000e-03 eta: 8:05:09 time: 0.5097 data_time: 0.0355 memory: 8322 grad_norm: 4.4505 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1885 loss: 1.1885 2022/08/01 03:00:02 - mmengine - INFO - Epoch(train) [53][620/940] lr: 1.0000e-03 eta: 8:04:57 time: 0.7497 data_time: 0.0331 memory: 8322 grad_norm: 4.4047 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1963 loss: 1.1963 2022/08/01 03:00:14 - mmengine - INFO - Epoch(train) [53][640/940] lr: 1.0000e-03 eta: 8:04:43 time: 0.5999 data_time: 0.0385 memory: 8322 grad_norm: 4.3261 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0952 loss: 1.0952 2022/08/01 03:00:27 - mmengine - INFO - Epoch(train) [53][660/940] lr: 1.0000e-03 eta: 8:04:30 time: 0.6613 data_time: 0.1030 memory: 8322 grad_norm: 4.3058 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1423 loss: 1.1423 2022/08/01 03:00:40 - mmengine - INFO - Epoch(train) [53][680/940] lr: 1.0000e-03 eta: 8:04:17 time: 0.6525 data_time: 0.1652 memory: 8322 grad_norm: 4.4854 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2197 loss: 1.2197 2022/08/01 03:00:53 - mmengine - INFO - Epoch(train) [53][700/940] lr: 1.0000e-03 eta: 8:04:04 time: 0.6316 data_time: 0.1078 memory: 8322 grad_norm: 4.3837 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0937 loss: 1.0937 2022/08/01 03:01:07 - mmengine - INFO - Epoch(train) [53][720/940] lr: 1.0000e-03 eta: 8:03:52 time: 0.7134 data_time: 0.0639 memory: 8322 grad_norm: 4.4137 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1463 loss: 1.1463 2022/08/01 03:01:20 - mmengine - INFO - Epoch(train) [53][740/940] lr: 1.0000e-03 eta: 8:03:38 time: 0.6401 data_time: 0.0366 memory: 8322 grad_norm: 4.4101 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0775 loss: 1.0775 2022/08/01 03:01:32 - mmengine - INFO - Epoch(train) [53][760/940] lr: 1.0000e-03 eta: 8:03:24 time: 0.5775 data_time: 0.0551 memory: 8322 grad_norm: 4.2688 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0172 loss: 1.0172 2022/08/01 03:01:46 - mmengine - INFO - Epoch(train) [53][780/940] lr: 1.0000e-03 eta: 8:03:12 time: 0.7360 data_time: 0.1596 memory: 8322 grad_norm: 4.2741 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1852 loss: 1.1852 2022/08/01 03:01:57 - mmengine - INFO - Epoch(train) [53][800/940] lr: 1.0000e-03 eta: 8:02:57 time: 0.5426 data_time: 0.0401 memory: 8322 grad_norm: 4.4661 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1977 loss: 1.1977 2022/08/01 03:02:11 - mmengine - INFO - Epoch(train) [53][820/940] lr: 1.0000e-03 eta: 8:02:45 time: 0.6893 data_time: 0.0297 memory: 8322 grad_norm: 4.3891 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1887 loss: 1.1887 2022/08/01 03:02:23 - mmengine - INFO - Epoch(train) [53][840/940] lr: 1.0000e-03 eta: 8:02:31 time: 0.5943 data_time: 0.0379 memory: 8322 grad_norm: 4.3538 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1905 loss: 1.1905 2022/08/01 03:02:37 - mmengine - INFO - Epoch(train) [53][860/940] lr: 1.0000e-03 eta: 8:02:19 time: 0.7169 data_time: 0.0324 memory: 8322 grad_norm: 4.4591 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2147 loss: 1.2147 2022/08/01 03:02:49 - mmengine - INFO - Epoch(train) [53][880/940] lr: 1.0000e-03 eta: 8:02:04 time: 0.5675 data_time: 0.0414 memory: 8322 grad_norm: 4.3428 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1477 loss: 1.1477 2022/08/01 03:03:04 - mmengine - INFO - Epoch(train) [53][900/940] lr: 1.0000e-03 eta: 8:01:53 time: 0.7733 data_time: 0.0306 memory: 8322 grad_norm: 4.4411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2108 loss: 1.2108 2022/08/01 03:03:16 - mmengine - INFO - Epoch(train) [53][920/940] lr: 1.0000e-03 eta: 8:01:39 time: 0.5821 data_time: 0.0370 memory: 8322 grad_norm: 4.4371 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2060 loss: 1.2060 2022/08/01 03:03:25 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:03:25 - mmengine - INFO - Epoch(train) [53][940/940] lr: 1.0000e-03 eta: 8:01:22 time: 0.4548 data_time: 0.0323 memory: 8322 grad_norm: 4.6559 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1947 loss: 1.1947 2022/08/01 03:03:38 - mmengine - INFO - Epoch(val) [53][20/78] eta: 0:00:39 time: 0.6788 data_time: 0.6129 memory: 1463 2022/08/01 03:03:47 - mmengine - INFO - Epoch(val) [53][40/78] eta: 0:00:16 time: 0.4409 data_time: 0.3778 memory: 1463 2022/08/01 03:04:00 - mmengine - INFO - Epoch(val) [53][60/78] eta: 0:00:11 time: 0.6463 data_time: 0.5836 memory: 1463 2022/08/01 03:04:10 - mmengine - INFO - Epoch(val) [53][78/78] acc/top1: 0.6888 acc/top5: 0.8816 acc/mean1: 0.6887 2022/08/01 03:04:27 - mmengine - INFO - Epoch(train) [54][20/940] lr: 1.0000e-03 eta: 8:01:12 time: 0.8164 data_time: 0.4762 memory: 8322 grad_norm: 4.3638 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2431 loss: 1.2431 2022/08/01 03:04:38 - mmengine - INFO - Epoch(train) [54][40/940] lr: 1.0000e-03 eta: 8:00:58 time: 0.5772 data_time: 0.1965 memory: 8322 grad_norm: 4.3287 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2306 loss: 1.2306 2022/08/01 03:04:54 - mmengine - INFO - Epoch(train) [54][60/940] lr: 1.0000e-03 eta: 8:00:47 time: 0.8127 data_time: 0.2729 memory: 8322 grad_norm: 4.3186 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1598 loss: 1.1598 2022/08/01 03:05:06 - mmengine - INFO - Epoch(train) [54][80/940] lr: 1.0000e-03 eta: 8:00:33 time: 0.5588 data_time: 0.0607 memory: 8322 grad_norm: 4.4161 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0890 loss: 1.0890 2022/08/01 03:05:20 - mmengine - INFO - Epoch(train) [54][100/940] lr: 1.0000e-03 eta: 8:00:21 time: 0.7417 data_time: 0.0936 memory: 8322 grad_norm: 4.3217 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1582 loss: 1.1582 2022/08/01 03:05:32 - mmengine - INFO - Epoch(train) [54][120/940] lr: 1.0000e-03 eta: 8:00:07 time: 0.5934 data_time: 0.0401 memory: 8322 grad_norm: 4.3843 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/08/01 03:05:46 - mmengine - INFO - Epoch(train) [54][140/940] lr: 1.0000e-03 eta: 7:59:54 time: 0.6798 data_time: 0.0351 memory: 8322 grad_norm: 4.3474 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1197 loss: 1.1197 2022/08/01 03:05:57 - mmengine - INFO - Epoch(train) [54][160/940] lr: 1.0000e-03 eta: 7:59:39 time: 0.5442 data_time: 0.0339 memory: 8322 grad_norm: 4.4356 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2129 loss: 1.2129 2022/08/01 03:06:11 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:06:11 - mmengine - INFO - Epoch(train) [54][180/940] lr: 1.0000e-03 eta: 7:59:27 time: 0.6878 data_time: 0.1621 memory: 8322 grad_norm: 4.3121 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1895 loss: 1.1895 2022/08/01 03:06:22 - mmengine - INFO - Epoch(train) [54][200/940] lr: 1.0000e-03 eta: 7:59:13 time: 0.5959 data_time: 0.0897 memory: 8322 grad_norm: 4.3361 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1561 loss: 1.1561 2022/08/01 03:06:37 - mmengine - INFO - Epoch(train) [54][220/940] lr: 1.0000e-03 eta: 7:59:01 time: 0.7174 data_time: 0.0383 memory: 8322 grad_norm: 4.3472 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0639 loss: 1.0639 2022/08/01 03:06:48 - mmengine - INFO - Epoch(train) [54][240/940] lr: 1.0000e-03 eta: 7:58:46 time: 0.5708 data_time: 0.0319 memory: 8322 grad_norm: 4.4117 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1516 loss: 1.1516 2022/08/01 03:07:04 - mmengine - INFO - Epoch(train) [54][260/940] lr: 1.0000e-03 eta: 7:58:35 time: 0.7710 data_time: 0.0354 memory: 8322 grad_norm: 4.2918 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1966 loss: 1.1966 2022/08/01 03:07:15 - mmengine - INFO - Epoch(train) [54][280/940] lr: 1.0000e-03 eta: 7:58:21 time: 0.5598 data_time: 0.0298 memory: 8322 grad_norm: 4.3755 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1517 loss: 1.1517 2022/08/01 03:07:30 - mmengine - INFO - Epoch(train) [54][300/940] lr: 1.0000e-03 eta: 7:58:09 time: 0.7537 data_time: 0.0331 memory: 8322 grad_norm: 4.3109 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1289 loss: 1.1289 2022/08/01 03:07:41 - mmengine - INFO - Epoch(train) [54][320/940] lr: 1.0000e-03 eta: 7:57:54 time: 0.5419 data_time: 0.0309 memory: 8322 grad_norm: 4.3777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1601 loss: 1.1601 2022/08/01 03:07:54 - mmengine - INFO - Epoch(train) [54][340/940] lr: 1.0000e-03 eta: 7:57:41 time: 0.6717 data_time: 0.0404 memory: 8322 grad_norm: 4.4190 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3307 loss: 1.3307 2022/08/01 03:08:06 - mmengine - INFO - Epoch(train) [54][360/940] lr: 1.0000e-03 eta: 7:57:27 time: 0.5810 data_time: 0.0306 memory: 8322 grad_norm: 4.2496 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0508 loss: 1.0508 2022/08/01 03:08:21 - mmengine - INFO - Epoch(train) [54][380/940] lr: 1.0000e-03 eta: 7:57:16 time: 0.7556 data_time: 0.0370 memory: 8322 grad_norm: 4.3361 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1114 loss: 1.1114 2022/08/01 03:08:33 - mmengine - INFO - Epoch(train) [54][400/940] lr: 1.0000e-03 eta: 7:57:02 time: 0.6236 data_time: 0.0328 memory: 8322 grad_norm: 4.3651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1403 loss: 1.1403 2022/08/01 03:08:47 - mmengine - INFO - Epoch(train) [54][420/940] lr: 1.0000e-03 eta: 7:56:50 time: 0.6909 data_time: 0.0345 memory: 8322 grad_norm: 4.2750 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2225 loss: 1.2225 2022/08/01 03:08:59 - mmengine - INFO - Epoch(train) [54][440/940] lr: 1.0000e-03 eta: 7:56:36 time: 0.5950 data_time: 0.0359 memory: 8322 grad_norm: 4.4479 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2679 loss: 1.2679 2022/08/01 03:09:14 - mmengine - INFO - Epoch(train) [54][460/940] lr: 1.0000e-03 eta: 7:56:24 time: 0.7156 data_time: 0.0359 memory: 8322 grad_norm: 4.3884 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0689 loss: 1.0689 2022/08/01 03:09:24 - mmengine - INFO - Epoch(train) [54][480/940] lr: 1.0000e-03 eta: 7:56:09 time: 0.5483 data_time: 0.0275 memory: 8322 grad_norm: 4.3175 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0145 loss: 1.0145 2022/08/01 03:09:38 - mmengine - INFO - Epoch(train) [54][500/940] lr: 1.0000e-03 eta: 7:55:56 time: 0.6811 data_time: 0.0520 memory: 8322 grad_norm: 4.4251 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0994 loss: 1.0994 2022/08/01 03:09:50 - mmengine - INFO - Epoch(train) [54][520/940] lr: 1.0000e-03 eta: 7:55:42 time: 0.5723 data_time: 0.0292 memory: 8322 grad_norm: 4.3757 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2665 loss: 1.2665 2022/08/01 03:10:05 - mmengine - INFO - Epoch(train) [54][540/940] lr: 1.0000e-03 eta: 7:55:31 time: 0.7917 data_time: 0.0363 memory: 8322 grad_norm: 4.3845 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1357 loss: 1.1357 2022/08/01 03:10:16 - mmengine - INFO - Epoch(train) [54][560/940] lr: 1.0000e-03 eta: 7:55:15 time: 0.5127 data_time: 0.0377 memory: 8322 grad_norm: 4.3896 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2414 loss: 1.2414 2022/08/01 03:10:30 - mmengine - INFO - Epoch(train) [54][580/940] lr: 1.0000e-03 eta: 7:55:04 time: 0.7293 data_time: 0.0353 memory: 8322 grad_norm: 4.3720 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2963 loss: 1.2963 2022/08/01 03:10:43 - mmengine - INFO - Epoch(train) [54][600/940] lr: 1.0000e-03 eta: 7:54:50 time: 0.6210 data_time: 0.0305 memory: 8322 grad_norm: 4.3665 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1189 loss: 1.1189 2022/08/01 03:10:56 - mmengine - INFO - Epoch(train) [54][620/940] lr: 1.0000e-03 eta: 7:54:38 time: 0.6902 data_time: 0.0391 memory: 8322 grad_norm: 4.3793 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2852 loss: 1.2852 2022/08/01 03:11:10 - mmengine - INFO - Epoch(train) [54][640/940] lr: 1.0000e-03 eta: 7:54:25 time: 0.6554 data_time: 0.0249 memory: 8322 grad_norm: 4.3936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1314 loss: 1.1314 2022/08/01 03:11:22 - mmengine - INFO - Epoch(train) [54][660/940] lr: 1.0000e-03 eta: 7:54:11 time: 0.6185 data_time: 0.0353 memory: 8322 grad_norm: 4.3505 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1219 loss: 1.1219 2022/08/01 03:11:37 - mmengine - INFO - Epoch(train) [54][680/940] lr: 1.0000e-03 eta: 7:53:59 time: 0.7469 data_time: 0.0270 memory: 8322 grad_norm: 4.3952 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1082 loss: 1.1082 2022/08/01 03:11:48 - mmengine - INFO - Epoch(train) [54][700/940] lr: 1.0000e-03 eta: 7:53:45 time: 0.5505 data_time: 0.0315 memory: 8322 grad_norm: 4.3660 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1400 loss: 1.1400 2022/08/01 03:12:03 - mmengine - INFO - Epoch(train) [54][720/940] lr: 1.0000e-03 eta: 7:53:33 time: 0.7222 data_time: 0.0334 memory: 8322 grad_norm: 4.3260 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1940 loss: 1.1940 2022/08/01 03:12:14 - mmengine - INFO - Epoch(train) [54][740/940] lr: 1.0000e-03 eta: 7:53:18 time: 0.5599 data_time: 0.0422 memory: 8322 grad_norm: 4.4213 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1769 loss: 1.1769 2022/08/01 03:12:28 - mmengine - INFO - Epoch(train) [54][760/940] lr: 1.0000e-03 eta: 7:53:06 time: 0.7242 data_time: 0.0320 memory: 8322 grad_norm: 4.3564 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1943 loss: 1.1943 2022/08/01 03:12:40 - mmengine - INFO - Epoch(train) [54][780/940] lr: 1.0000e-03 eta: 7:52:52 time: 0.6064 data_time: 0.0333 memory: 8322 grad_norm: 4.3526 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1189 loss: 1.1189 2022/08/01 03:12:54 - mmengine - INFO - Epoch(train) [54][800/940] lr: 1.0000e-03 eta: 7:52:40 time: 0.6774 data_time: 0.0336 memory: 8322 grad_norm: 4.3540 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0843 loss: 1.0843 2022/08/01 03:13:06 - mmengine - INFO - Epoch(train) [54][820/940] lr: 1.0000e-03 eta: 7:52:26 time: 0.6160 data_time: 0.0386 memory: 8322 grad_norm: 4.4474 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1064 loss: 1.1064 2022/08/01 03:13:21 - mmengine - INFO - Epoch(train) [54][840/940] lr: 1.0000e-03 eta: 7:52:14 time: 0.7339 data_time: 0.0315 memory: 8322 grad_norm: 4.4775 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1743 loss: 1.1743 2022/08/01 03:13:31 - mmengine - INFO - Epoch(train) [54][860/940] lr: 1.0000e-03 eta: 7:51:59 time: 0.5181 data_time: 0.0304 memory: 8322 grad_norm: 4.4649 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1440 loss: 1.1440 2022/08/01 03:13:46 - mmengine - INFO - Epoch(train) [54][880/940] lr: 1.0000e-03 eta: 7:51:47 time: 0.7386 data_time: 0.0376 memory: 8322 grad_norm: 4.3542 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0903 loss: 1.0903 2022/08/01 03:13:59 - mmengine - INFO - Epoch(train) [54][900/940] lr: 1.0000e-03 eta: 7:51:34 time: 0.6364 data_time: 0.0370 memory: 8322 grad_norm: 4.4527 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1906 loss: 1.1906 2022/08/01 03:14:12 - mmengine - INFO - Epoch(train) [54][920/940] lr: 1.0000e-03 eta: 7:51:21 time: 0.6764 data_time: 0.0328 memory: 8322 grad_norm: 4.4495 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1465 loss: 1.1465 2022/08/01 03:14:21 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:14:21 - mmengine - INFO - Epoch(train) [54][940/940] lr: 1.0000e-03 eta: 7:51:05 time: 0.4604 data_time: 0.0277 memory: 8322 grad_norm: 4.6929 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1900 loss: 1.1900 2022/08/01 03:14:21 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/08/01 03:14:37 - mmengine - INFO - Epoch(val) [54][20/78] eta: 0:00:40 time: 0.6898 data_time: 0.6281 memory: 1463 2022/08/01 03:14:46 - mmengine - INFO - Epoch(val) [54][40/78] eta: 0:00:16 time: 0.4316 data_time: 0.3699 memory: 1463 2022/08/01 03:14:59 - mmengine - INFO - Epoch(val) [54][60/78] eta: 0:00:11 time: 0.6446 data_time: 0.5830 memory: 1463 2022/08/01 03:15:09 - mmengine - INFO - Epoch(val) [54][78/78] acc/top1: 0.6889 acc/top5: 0.8826 acc/mean1: 0.6888 2022/08/01 03:15:25 - mmengine - INFO - Epoch(train) [55][20/940] lr: 1.0000e-03 eta: 7:50:54 time: 0.8187 data_time: 0.4192 memory: 8322 grad_norm: 4.3167 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1874 loss: 1.1874 2022/08/01 03:15:37 - mmengine - INFO - Epoch(train) [55][40/940] lr: 1.0000e-03 eta: 7:50:40 time: 0.5742 data_time: 0.2730 memory: 8322 grad_norm: 4.3522 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1615 loss: 1.1615 2022/08/01 03:15:51 - mmengine - INFO - Epoch(train) [55][60/940] lr: 1.0000e-03 eta: 7:50:28 time: 0.7130 data_time: 0.2550 memory: 8322 grad_norm: 4.3505 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0790 loss: 1.0790 2022/08/01 03:16:03 - mmengine - INFO - Epoch(train) [55][80/940] lr: 1.0000e-03 eta: 7:50:14 time: 0.5808 data_time: 0.2690 memory: 8322 grad_norm: 4.4120 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1505 loss: 1.1505 2022/08/01 03:16:17 - mmengine - INFO - Epoch(train) [55][100/940] lr: 1.0000e-03 eta: 7:50:01 time: 0.7033 data_time: 0.2803 memory: 8322 grad_norm: 4.3589 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2790 loss: 1.2790 2022/08/01 03:16:28 - mmengine - INFO - Epoch(train) [55][120/940] lr: 1.0000e-03 eta: 7:49:47 time: 0.5737 data_time: 0.2104 memory: 8322 grad_norm: 4.3002 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1141 loss: 1.1141 2022/08/01 03:16:42 - mmengine - INFO - Epoch(train) [55][140/940] lr: 1.0000e-03 eta: 7:49:35 time: 0.7011 data_time: 0.2668 memory: 8322 grad_norm: 4.4325 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0803 loss: 1.0803 2022/08/01 03:16:53 - mmengine - INFO - Epoch(train) [55][160/940] lr: 1.0000e-03 eta: 7:49:20 time: 0.5495 data_time: 0.2528 memory: 8322 grad_norm: 4.3971 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2315 loss: 1.2315 2022/08/01 03:17:08 - mmengine - INFO - Epoch(train) [55][180/940] lr: 1.0000e-03 eta: 7:49:08 time: 0.7503 data_time: 0.3852 memory: 8322 grad_norm: 4.3251 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2129 loss: 1.2129 2022/08/01 03:17:19 - mmengine - INFO - Epoch(train) [55][200/940] lr: 1.0000e-03 eta: 7:48:54 time: 0.5613 data_time: 0.2525 memory: 8322 grad_norm: 4.4028 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1382 loss: 1.1382 2022/08/01 03:17:34 - mmengine - INFO - Epoch(train) [55][220/940] lr: 1.0000e-03 eta: 7:48:42 time: 0.7236 data_time: 0.3316 memory: 8322 grad_norm: 4.4063 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0204 loss: 1.0204 2022/08/01 03:17:44 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:17:44 - mmengine - INFO - Epoch(train) [55][240/940] lr: 1.0000e-03 eta: 7:48:27 time: 0.5256 data_time: 0.1693 memory: 8322 grad_norm: 4.3820 top1_acc: 0.5938 top5_acc: 0.9688 loss_cls: 1.1242 loss: 1.1242 2022/08/01 03:17:58 - mmengine - INFO - Epoch(train) [55][260/940] lr: 1.0000e-03 eta: 7:48:14 time: 0.6865 data_time: 0.2327 memory: 8322 grad_norm: 4.3804 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0963 loss: 1.0963 2022/08/01 03:18:11 - mmengine - INFO - Epoch(train) [55][280/940] lr: 1.0000e-03 eta: 7:48:01 time: 0.6298 data_time: 0.1077 memory: 8322 grad_norm: 4.5244 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1434 loss: 1.1434 2022/08/01 03:18:26 - mmengine - INFO - Epoch(train) [55][300/940] lr: 1.0000e-03 eta: 7:47:49 time: 0.7353 data_time: 0.1358 memory: 8322 grad_norm: 4.4394 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1933 loss: 1.1933 2022/08/01 03:18:37 - mmengine - INFO - Epoch(train) [55][320/940] lr: 1.0000e-03 eta: 7:47:34 time: 0.5576 data_time: 0.0559 memory: 8322 grad_norm: 4.4575 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1329 loss: 1.1329 2022/08/01 03:18:52 - mmengine - INFO - Epoch(train) [55][340/940] lr: 1.0000e-03 eta: 7:47:23 time: 0.7472 data_time: 0.0346 memory: 8322 grad_norm: 4.5026 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2137 loss: 1.2137 2022/08/01 03:19:02 - mmengine - INFO - Epoch(train) [55][360/940] lr: 1.0000e-03 eta: 7:47:08 time: 0.5389 data_time: 0.0575 memory: 8322 grad_norm: 4.4020 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2687 loss: 1.2687 2022/08/01 03:19:17 - mmengine - INFO - Epoch(train) [55][380/940] lr: 1.0000e-03 eta: 7:46:56 time: 0.7252 data_time: 0.2757 memory: 8322 grad_norm: 4.4225 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2341 loss: 1.2341 2022/08/01 03:19:28 - mmengine - INFO - Epoch(train) [55][400/940] lr: 1.0000e-03 eta: 7:46:41 time: 0.5372 data_time: 0.1917 memory: 8322 grad_norm: 4.4278 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2162 loss: 1.2162 2022/08/01 03:19:42 - mmengine - INFO - Epoch(train) [55][420/940] lr: 1.0000e-03 eta: 7:46:29 time: 0.7400 data_time: 0.3324 memory: 8322 grad_norm: 4.3999 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2368 loss: 1.2368 2022/08/01 03:19:53 - mmengine - INFO - Epoch(train) [55][440/940] lr: 1.0000e-03 eta: 7:46:14 time: 0.5501 data_time: 0.2382 memory: 8322 grad_norm: 4.3155 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1427 loss: 1.1427 2022/08/01 03:20:07 - mmengine - INFO - Epoch(train) [55][460/940] lr: 1.0000e-03 eta: 7:46:02 time: 0.6952 data_time: 0.3464 memory: 8322 grad_norm: 4.4449 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1719 loss: 1.1719 2022/08/01 03:20:19 - mmengine - INFO - Epoch(train) [55][480/940] lr: 1.0000e-03 eta: 7:45:48 time: 0.5716 data_time: 0.3162 memory: 8322 grad_norm: 4.3045 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1335 loss: 1.1335 2022/08/01 03:20:34 - mmengine - INFO - Epoch(train) [55][500/940] lr: 1.0000e-03 eta: 7:45:36 time: 0.7392 data_time: 0.2697 memory: 8322 grad_norm: 4.3991 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/08/01 03:20:45 - mmengine - INFO - Epoch(train) [55][520/940] lr: 1.0000e-03 eta: 7:45:22 time: 0.5787 data_time: 0.1228 memory: 8322 grad_norm: 4.4938 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1710 loss: 1.1710 2022/08/01 03:20:58 - mmengine - INFO - Epoch(train) [55][540/940] lr: 1.0000e-03 eta: 7:45:09 time: 0.6556 data_time: 0.1211 memory: 8322 grad_norm: 4.3760 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1578 loss: 1.1578 2022/08/01 03:21:11 - mmengine - INFO - Epoch(train) [55][560/940] lr: 1.0000e-03 eta: 7:44:55 time: 0.6292 data_time: 0.0810 memory: 8322 grad_norm: 4.4670 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1870 loss: 1.1870 2022/08/01 03:21:26 - mmengine - INFO - Epoch(train) [55][580/940] lr: 1.0000e-03 eta: 7:44:43 time: 0.7301 data_time: 0.0681 memory: 8322 grad_norm: 4.5621 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2474 loss: 1.2474 2022/08/01 03:21:38 - mmengine - INFO - Epoch(train) [55][600/940] lr: 1.0000e-03 eta: 7:44:30 time: 0.6207 data_time: 0.0499 memory: 8322 grad_norm: 4.2900 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0821 loss: 1.0821 2022/08/01 03:21:52 - mmengine - INFO - Epoch(train) [55][620/940] lr: 1.0000e-03 eta: 7:44:17 time: 0.6956 data_time: 0.0352 memory: 8322 grad_norm: 4.3785 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1928 loss: 1.1928 2022/08/01 03:22:03 - mmengine - INFO - Epoch(train) [55][640/940] lr: 1.0000e-03 eta: 7:44:03 time: 0.5677 data_time: 0.0301 memory: 8322 grad_norm: 4.4849 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1150 loss: 1.1150 2022/08/01 03:22:16 - mmengine - INFO - Epoch(train) [55][660/940] lr: 1.0000e-03 eta: 7:43:49 time: 0.6359 data_time: 0.0307 memory: 8322 grad_norm: 4.4096 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2702 loss: 1.2702 2022/08/01 03:22:30 - mmengine - INFO - Epoch(train) [55][680/940] lr: 1.0000e-03 eta: 7:43:37 time: 0.6902 data_time: 0.0356 memory: 8322 grad_norm: 4.4084 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1187 loss: 1.1187 2022/08/01 03:22:42 - mmengine - INFO - Epoch(train) [55][700/940] lr: 1.0000e-03 eta: 7:43:23 time: 0.6160 data_time: 0.0388 memory: 8322 grad_norm: 4.4827 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0478 loss: 1.0478 2022/08/01 03:22:55 - mmengine - INFO - Epoch(train) [55][720/940] lr: 1.0000e-03 eta: 7:43:10 time: 0.6623 data_time: 0.0361 memory: 8322 grad_norm: 4.3573 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1155 loss: 1.1155 2022/08/01 03:23:06 - mmengine - INFO - Epoch(train) [55][740/940] lr: 1.0000e-03 eta: 7:42:56 time: 0.5466 data_time: 0.0332 memory: 8322 grad_norm: 4.3867 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1718 loss: 1.1718 2022/08/01 03:23:20 - mmengine - INFO - Epoch(train) [55][760/940] lr: 1.0000e-03 eta: 7:42:43 time: 0.6692 data_time: 0.0376 memory: 8322 grad_norm: 4.4522 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1144 loss: 1.1144 2022/08/01 03:23:33 - mmengine - INFO - Epoch(train) [55][780/940] lr: 1.0000e-03 eta: 7:42:29 time: 0.6358 data_time: 0.0319 memory: 8322 grad_norm: 4.5109 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1797 loss: 1.1797 2022/08/01 03:23:45 - mmengine - INFO - Epoch(train) [55][800/940] lr: 1.0000e-03 eta: 7:42:16 time: 0.6138 data_time: 0.0445 memory: 8322 grad_norm: 4.3858 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1155 loss: 1.1155 2022/08/01 03:23:58 - mmengine - INFO - Epoch(train) [55][820/940] lr: 1.0000e-03 eta: 7:42:03 time: 0.6554 data_time: 0.0475 memory: 8322 grad_norm: 4.4615 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1919 loss: 1.1919 2022/08/01 03:24:10 - mmengine - INFO - Epoch(train) [55][840/940] lr: 1.0000e-03 eta: 7:41:49 time: 0.6122 data_time: 0.1256 memory: 8322 grad_norm: 4.2814 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0968 loss: 1.0968 2022/08/01 03:24:24 - mmengine - INFO - Epoch(train) [55][860/940] lr: 1.0000e-03 eta: 7:41:37 time: 0.7047 data_time: 0.1471 memory: 8322 grad_norm: 4.4081 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2095 loss: 1.2095 2022/08/01 03:24:36 - mmengine - INFO - Epoch(train) [55][880/940] lr: 1.0000e-03 eta: 7:41:22 time: 0.5805 data_time: 0.1235 memory: 8322 grad_norm: 4.3180 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3446 loss: 1.3446 2022/08/01 03:24:50 - mmengine - INFO - Epoch(train) [55][900/940] lr: 1.0000e-03 eta: 7:41:10 time: 0.6985 data_time: 0.0500 memory: 8322 grad_norm: 4.4946 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1458 loss: 1.1458 2022/08/01 03:25:02 - mmengine - INFO - Epoch(train) [55][920/940] lr: 1.0000e-03 eta: 7:40:56 time: 0.6134 data_time: 0.0362 memory: 8322 grad_norm: 4.4057 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1301 loss: 1.1301 2022/08/01 03:25:13 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:25:13 - mmengine - INFO - Epoch(train) [55][940/940] lr: 1.0000e-03 eta: 7:40:41 time: 0.5354 data_time: 0.0454 memory: 8322 grad_norm: 4.6780 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2352 loss: 1.2352 2022/08/01 03:25:27 - mmengine - INFO - Epoch(val) [55][20/78] eta: 0:00:40 time: 0.6981 data_time: 0.6332 memory: 1463 2022/08/01 03:25:36 - mmengine - INFO - Epoch(val) [55][40/78] eta: 0:00:16 time: 0.4445 data_time: 0.3828 memory: 1463 2022/08/01 03:25:50 - mmengine - INFO - Epoch(val) [55][60/78] eta: 0:00:12 time: 0.7072 data_time: 0.6467 memory: 1463 2022/08/01 03:25:59 - mmengine - INFO - Epoch(val) [55][78/78] acc/top1: 0.6896 acc/top5: 0.8807 acc/mean1: 0.6895 2022/08/01 03:26:15 - mmengine - INFO - Epoch(train) [56][20/940] lr: 1.0000e-03 eta: 7:40:31 time: 0.8247 data_time: 0.4372 memory: 8322 grad_norm: 4.3272 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1130 loss: 1.1130 2022/08/01 03:26:26 - mmengine - INFO - Epoch(train) [56][40/940] lr: 1.0000e-03 eta: 7:40:16 time: 0.5181 data_time: 0.1629 memory: 8322 grad_norm: 4.4036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1599 loss: 1.1599 2022/08/01 03:26:41 - mmengine - INFO - Epoch(train) [56][60/940] lr: 1.0000e-03 eta: 7:40:04 time: 0.7412 data_time: 0.3677 memory: 8322 grad_norm: 4.5063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2978 loss: 1.2978 2022/08/01 03:26:53 - mmengine - INFO - Epoch(train) [56][80/940] lr: 1.0000e-03 eta: 7:39:51 time: 0.6270 data_time: 0.2933 memory: 8322 grad_norm: 4.4491 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1014 loss: 1.1014 2022/08/01 03:27:07 - mmengine - INFO - Epoch(train) [56][100/940] lr: 1.0000e-03 eta: 7:39:38 time: 0.6798 data_time: 0.3708 memory: 8322 grad_norm: 4.3752 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2213 loss: 1.2213 2022/08/01 03:27:18 - mmengine - INFO - Epoch(train) [56][120/940] lr: 1.0000e-03 eta: 7:39:24 time: 0.5750 data_time: 0.2917 memory: 8322 grad_norm: 4.4889 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1809 loss: 1.1809 2022/08/01 03:27:32 - mmengine - INFO - Epoch(train) [56][140/940] lr: 1.0000e-03 eta: 7:39:11 time: 0.7093 data_time: 0.4026 memory: 8322 grad_norm: 4.3945 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0749 loss: 1.0749 2022/08/01 03:27:44 - mmengine - INFO - Epoch(train) [56][160/940] lr: 1.0000e-03 eta: 7:38:57 time: 0.5879 data_time: 0.2763 memory: 8322 grad_norm: 4.5066 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1450 loss: 1.1450 2022/08/01 03:27:58 - mmengine - INFO - Epoch(train) [56][180/940] lr: 1.0000e-03 eta: 7:38:45 time: 0.7127 data_time: 0.3315 memory: 8322 grad_norm: 4.3380 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1776 loss: 1.1776 2022/08/01 03:28:11 - mmengine - INFO - Epoch(train) [56][200/940] lr: 1.0000e-03 eta: 7:38:31 time: 0.6121 data_time: 0.2085 memory: 8322 grad_norm: 4.4210 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0643 loss: 1.0643 2022/08/01 03:28:24 - mmengine - INFO - Epoch(train) [56][220/940] lr: 1.0000e-03 eta: 7:38:19 time: 0.6818 data_time: 0.0913 memory: 8322 grad_norm: 4.4578 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2297 loss: 1.2297 2022/08/01 03:28:36 - mmengine - INFO - Epoch(train) [56][240/940] lr: 1.0000e-03 eta: 7:38:05 time: 0.5823 data_time: 0.0975 memory: 8322 grad_norm: 4.5153 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1822 loss: 1.1822 2022/08/01 03:28:50 - mmengine - INFO - Epoch(train) [56][260/940] lr: 1.0000e-03 eta: 7:37:52 time: 0.6948 data_time: 0.1126 memory: 8322 grad_norm: 4.3557 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1804 loss: 1.1804 2022/08/01 03:29:01 - mmengine - INFO - Epoch(train) [56][280/940] lr: 1.0000e-03 eta: 7:37:37 time: 0.5402 data_time: 0.1784 memory: 8322 grad_norm: 4.3819 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0322 loss: 1.0322 2022/08/01 03:29:15 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:29:15 - mmengine - INFO - Epoch(train) [56][300/940] lr: 1.0000e-03 eta: 7:37:25 time: 0.7258 data_time: 0.2338 memory: 8322 grad_norm: 4.3554 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1457 loss: 1.1457 2022/08/01 03:29:26 - mmengine - INFO - Epoch(train) [56][320/940] lr: 1.0000e-03 eta: 7:37:11 time: 0.5716 data_time: 0.1308 memory: 8322 grad_norm: 4.3494 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/08/01 03:29:41 - mmengine - INFO - Epoch(train) [56][340/940] lr: 1.0000e-03 eta: 7:36:59 time: 0.7210 data_time: 0.2880 memory: 8322 grad_norm: 4.3990 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1235 loss: 1.1235 2022/08/01 03:29:53 - mmengine - INFO - Epoch(train) [56][360/940] lr: 1.0000e-03 eta: 7:36:45 time: 0.6116 data_time: 0.0882 memory: 8322 grad_norm: 4.3127 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0119 loss: 1.0119 2022/08/01 03:30:08 - mmengine - INFO - Epoch(train) [56][380/940] lr: 1.0000e-03 eta: 7:36:34 time: 0.7545 data_time: 0.1005 memory: 8322 grad_norm: 4.4472 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1374 loss: 1.1374 2022/08/01 03:30:19 - mmengine - INFO - Epoch(train) [56][400/940] lr: 1.0000e-03 eta: 7:36:19 time: 0.5557 data_time: 0.0304 memory: 8322 grad_norm: 4.4218 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1015 loss: 1.1015 2022/08/01 03:30:34 - mmengine - INFO - Epoch(train) [56][420/940] lr: 1.0000e-03 eta: 7:36:08 time: 0.7396 data_time: 0.0350 memory: 8322 grad_norm: 4.4182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1928 loss: 1.1928 2022/08/01 03:30:45 - mmengine - INFO - Epoch(train) [56][440/940] lr: 1.0000e-03 eta: 7:35:52 time: 0.5285 data_time: 0.0398 memory: 8322 grad_norm: 4.4787 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1097 loss: 1.1097 2022/08/01 03:30:59 - mmengine - INFO - Epoch(train) [56][460/940] lr: 1.0000e-03 eta: 7:35:40 time: 0.6993 data_time: 0.0310 memory: 8322 grad_norm: 4.4099 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0724 loss: 1.0724 2022/08/01 03:31:10 - mmengine - INFO - Epoch(train) [56][480/940] lr: 1.0000e-03 eta: 7:35:26 time: 0.5656 data_time: 0.0448 memory: 8322 grad_norm: 4.3036 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1207 loss: 1.1207 2022/08/01 03:31:24 - mmengine - INFO - Epoch(train) [56][500/940] lr: 1.0000e-03 eta: 7:35:13 time: 0.6878 data_time: 0.0394 memory: 8322 grad_norm: 4.3079 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0644 loss: 1.0644 2022/08/01 03:31:37 - mmengine - INFO - Epoch(train) [56][520/940] lr: 1.0000e-03 eta: 7:35:00 time: 0.6465 data_time: 0.0442 memory: 8322 grad_norm: 4.4339 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1385 loss: 1.1385 2022/08/01 03:31:50 - mmengine - INFO - Epoch(train) [56][540/940] lr: 1.0000e-03 eta: 7:34:47 time: 0.6469 data_time: 0.0725 memory: 8322 grad_norm: 4.4375 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1797 loss: 1.1797 2022/08/01 03:32:01 - mmengine - INFO - Epoch(train) [56][560/940] lr: 1.0000e-03 eta: 7:34:32 time: 0.5515 data_time: 0.0922 memory: 8322 grad_norm: 4.3439 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2424 loss: 1.2424 2022/08/01 03:32:14 - mmengine - INFO - Epoch(train) [56][580/940] lr: 1.0000e-03 eta: 7:34:20 time: 0.6858 data_time: 0.1110 memory: 8322 grad_norm: 4.4739 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1133 loss: 1.1133 2022/08/01 03:32:26 - mmengine - INFO - Epoch(train) [56][600/940] lr: 1.0000e-03 eta: 7:34:05 time: 0.5839 data_time: 0.0538 memory: 8322 grad_norm: 4.3909 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0435 loss: 1.0435 2022/08/01 03:32:40 - mmengine - INFO - Epoch(train) [56][620/940] lr: 1.0000e-03 eta: 7:33:53 time: 0.7160 data_time: 0.0821 memory: 8322 grad_norm: 4.4249 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0717 loss: 1.0717 2022/08/01 03:32:52 - mmengine - INFO - Epoch(train) [56][640/940] lr: 1.0000e-03 eta: 7:33:39 time: 0.5966 data_time: 0.0444 memory: 8322 grad_norm: 4.4475 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0503 loss: 1.0503 2022/08/01 03:33:06 - mmengine - INFO - Epoch(train) [56][660/940] lr: 1.0000e-03 eta: 7:33:27 time: 0.6823 data_time: 0.0402 memory: 8322 grad_norm: 4.4363 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1169 loss: 1.1169 2022/08/01 03:33:19 - mmengine - INFO - Epoch(train) [56][680/940] lr: 1.0000e-03 eta: 7:33:14 time: 0.6661 data_time: 0.0359 memory: 8322 grad_norm: 4.4262 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1550 loss: 1.1550 2022/08/01 03:33:33 - mmengine - INFO - Epoch(train) [56][700/940] lr: 1.0000e-03 eta: 7:33:01 time: 0.6951 data_time: 0.0374 memory: 8322 grad_norm: 4.4144 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1419 loss: 1.1419 2022/08/01 03:33:45 - mmengine - INFO - Epoch(train) [56][720/940] lr: 1.0000e-03 eta: 7:32:47 time: 0.5819 data_time: 0.0353 memory: 8322 grad_norm: 4.5003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/08/01 03:33:58 - mmengine - INFO - Epoch(train) [56][740/940] lr: 1.0000e-03 eta: 7:32:34 time: 0.6709 data_time: 0.0376 memory: 8322 grad_norm: 4.3961 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1239 loss: 1.1239 2022/08/01 03:34:11 - mmengine - INFO - Epoch(train) [56][760/940] lr: 1.0000e-03 eta: 7:32:21 time: 0.6227 data_time: 0.0364 memory: 8322 grad_norm: 4.4936 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1987 loss: 1.1987 2022/08/01 03:34:24 - mmengine - INFO - Epoch(train) [56][780/940] lr: 1.0000e-03 eta: 7:32:08 time: 0.6558 data_time: 0.0357 memory: 8322 grad_norm: 4.4396 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1992 loss: 1.1992 2022/08/01 03:34:37 - mmengine - INFO - Epoch(train) [56][800/940] lr: 1.0000e-03 eta: 7:31:55 time: 0.6775 data_time: 0.0365 memory: 8322 grad_norm: 4.4117 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0693 loss: 1.0693 2022/08/01 03:34:50 - mmengine - INFO - Epoch(train) [56][820/940] lr: 1.0000e-03 eta: 7:31:41 time: 0.6058 data_time: 0.0339 memory: 8322 grad_norm: 4.3588 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1433 loss: 1.1433 2022/08/01 03:35:03 - mmengine - INFO - Epoch(train) [56][840/940] lr: 1.0000e-03 eta: 7:31:28 time: 0.6484 data_time: 0.0444 memory: 8322 grad_norm: 4.2726 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0984 loss: 1.0984 2022/08/01 03:35:14 - mmengine - INFO - Epoch(train) [56][860/940] lr: 1.0000e-03 eta: 7:31:14 time: 0.5873 data_time: 0.0332 memory: 8322 grad_norm: 4.5218 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1039 loss: 1.1039 2022/08/01 03:35:27 - mmengine - INFO - Epoch(train) [56][880/940] lr: 1.0000e-03 eta: 7:31:01 time: 0.6260 data_time: 0.0453 memory: 8322 grad_norm: 4.5100 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2817 loss: 1.2817 2022/08/01 03:35:40 - mmengine - INFO - Epoch(train) [56][900/940] lr: 1.0000e-03 eta: 7:30:48 time: 0.6783 data_time: 0.0340 memory: 8322 grad_norm: 4.5320 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1535 loss: 1.1535 2022/08/01 03:35:55 - mmengine - INFO - Epoch(train) [56][920/940] lr: 1.0000e-03 eta: 7:30:36 time: 0.7093 data_time: 0.0347 memory: 8322 grad_norm: 4.3338 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0727 loss: 1.0727 2022/08/01 03:36:04 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:36:04 - mmengine - INFO - Epoch(train) [56][940/940] lr: 1.0000e-03 eta: 7:30:20 time: 0.4684 data_time: 0.0225 memory: 8322 grad_norm: 4.7024 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1862 loss: 1.1862 2022/08/01 03:36:18 - mmengine - INFO - Epoch(val) [56][20/78] eta: 0:00:39 time: 0.6736 data_time: 0.6107 memory: 1463 2022/08/01 03:36:28 - mmengine - INFO - Epoch(val) [56][40/78] eta: 0:00:20 time: 0.5291 data_time: 0.4565 memory: 1463 2022/08/01 03:36:39 - mmengine - INFO - Epoch(val) [56][60/78] eta: 0:00:10 time: 0.5623 data_time: 0.4946 memory: 1463 2022/08/01 03:36:50 - mmengine - INFO - Epoch(val) [56][78/78] acc/top1: 0.6906 acc/top5: 0.8839 acc/mean1: 0.6905 2022/08/01 03:37:07 - mmengine - INFO - Epoch(train) [57][20/940] lr: 1.0000e-03 eta: 7:30:10 time: 0.8575 data_time: 0.4099 memory: 8322 grad_norm: 4.4480 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2212 loss: 1.2212 2022/08/01 03:37:19 - mmengine - INFO - Epoch(train) [57][40/940] lr: 1.0000e-03 eta: 7:29:55 time: 0.5686 data_time: 0.0420 memory: 8322 grad_norm: 4.4434 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1334 loss: 1.1334 2022/08/01 03:37:33 - mmengine - INFO - Epoch(train) [57][60/940] lr: 1.0000e-03 eta: 7:29:43 time: 0.7039 data_time: 0.0631 memory: 8322 grad_norm: 4.3781 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1489 loss: 1.1489 2022/08/01 03:37:45 - mmengine - INFO - Epoch(train) [57][80/940] lr: 1.0000e-03 eta: 7:29:29 time: 0.5855 data_time: 0.0391 memory: 8322 grad_norm: 4.3395 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0356 loss: 1.0356 2022/08/01 03:37:59 - mmengine - INFO - Epoch(train) [57][100/940] lr: 1.0000e-03 eta: 7:29:17 time: 0.6931 data_time: 0.0663 memory: 8322 grad_norm: 4.3944 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1890 loss: 1.1890 2022/08/01 03:38:10 - mmengine - INFO - Epoch(train) [57][120/940] lr: 1.0000e-03 eta: 7:29:02 time: 0.5766 data_time: 0.1388 memory: 8322 grad_norm: 4.3516 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1712 loss: 1.1712 2022/08/01 03:38:25 - mmengine - INFO - Epoch(train) [57][140/940] lr: 1.0000e-03 eta: 7:28:50 time: 0.7156 data_time: 0.1542 memory: 8322 grad_norm: 4.3814 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0776 loss: 1.0776 2022/08/01 03:38:35 - mmengine - INFO - Epoch(train) [57][160/940] lr: 1.0000e-03 eta: 7:28:35 time: 0.5395 data_time: 0.0635 memory: 8322 grad_norm: 4.4436 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1476 loss: 1.1476 2022/08/01 03:38:50 - mmengine - INFO - Epoch(train) [57][180/940] lr: 1.0000e-03 eta: 7:28:24 time: 0.7313 data_time: 0.1441 memory: 8322 grad_norm: 4.3971 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9915 loss: 0.9915 2022/08/01 03:39:02 - mmengine - INFO - Epoch(train) [57][200/940] lr: 1.0000e-03 eta: 7:28:10 time: 0.6195 data_time: 0.0712 memory: 8322 grad_norm: 4.4741 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1253 loss: 1.1253 2022/08/01 03:39:16 - mmengine - INFO - Epoch(train) [57][220/940] lr: 1.0000e-03 eta: 7:27:57 time: 0.6654 data_time: 0.0376 memory: 8322 grad_norm: 4.4122 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0561 loss: 1.0561 2022/08/01 03:39:27 - mmengine - INFO - Epoch(train) [57][240/940] lr: 1.0000e-03 eta: 7:27:43 time: 0.5956 data_time: 0.1352 memory: 8322 grad_norm: 4.4037 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0677 loss: 1.0677 2022/08/01 03:39:40 - mmengine - INFO - Epoch(train) [57][260/940] lr: 1.0000e-03 eta: 7:27:30 time: 0.6409 data_time: 0.1367 memory: 8322 grad_norm: 4.4594 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/08/01 03:39:53 - mmengine - INFO - Epoch(train) [57][280/940] lr: 1.0000e-03 eta: 7:27:17 time: 0.6405 data_time: 0.0649 memory: 8322 grad_norm: 4.4872 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1252 loss: 1.1252 2022/08/01 03:40:07 - mmengine - INFO - Epoch(train) [57][300/940] lr: 1.0000e-03 eta: 7:27:04 time: 0.6715 data_time: 0.0554 memory: 8322 grad_norm: 4.4259 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1412 loss: 1.1412 2022/08/01 03:40:18 - mmengine - INFO - Epoch(train) [57][320/940] lr: 1.0000e-03 eta: 7:26:50 time: 0.5853 data_time: 0.1104 memory: 8322 grad_norm: 4.5121 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3036 loss: 1.3036 2022/08/01 03:40:33 - mmengine - INFO - Epoch(train) [57][340/940] lr: 1.0000e-03 eta: 7:26:38 time: 0.7241 data_time: 0.0426 memory: 8322 grad_norm: 4.3681 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0896 loss: 1.0896 2022/08/01 03:40:45 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:40:45 - mmengine - INFO - Epoch(train) [57][360/940] lr: 1.0000e-03 eta: 7:26:24 time: 0.5918 data_time: 0.0310 memory: 8322 grad_norm: 4.4398 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2703 loss: 1.2703 2022/08/01 03:40:59 - mmengine - INFO - Epoch(train) [57][380/940] lr: 1.0000e-03 eta: 7:26:12 time: 0.7149 data_time: 0.0327 memory: 8322 grad_norm: 4.4761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0467 loss: 1.0467 2022/08/01 03:43:38 - mmengine - INFO - Epoch(train) [57][400/940] lr: 1.0000e-03 eta: 7:27:52 time: 7.9803 data_time: 0.0365 memory: 8322 grad_norm: 4.4397 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1565 loss: 1.1565 2022/08/01 03:43:50 - mmengine - INFO - Epoch(train) [57][420/940] lr: 1.0000e-03 eta: 7:27:37 time: 0.5516 data_time: 0.0434 memory: 8322 grad_norm: 4.5657 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1333 loss: 1.1333 2022/08/01 03:44:03 - mmengine - INFO - Epoch(train) [57][440/940] lr: 1.0000e-03 eta: 7:27:24 time: 0.6768 data_time: 0.0297 memory: 8322 grad_norm: 4.4578 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0841 loss: 1.0841 2022/08/01 03:44:15 - mmengine - INFO - Epoch(train) [57][460/940] lr: 1.0000e-03 eta: 7:27:10 time: 0.5889 data_time: 0.0410 memory: 8322 grad_norm: 4.3706 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1912 loss: 1.1912 2022/08/01 03:44:29 - mmengine - INFO - Epoch(train) [57][480/940] lr: 1.0000e-03 eta: 7:26:57 time: 0.6937 data_time: 0.0283 memory: 8322 grad_norm: 4.4204 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1168 loss: 1.1168 2022/08/01 03:44:40 - mmengine - INFO - Epoch(train) [57][500/940] lr: 1.0000e-03 eta: 7:26:43 time: 0.5640 data_time: 0.0411 memory: 8322 grad_norm: 4.3570 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1373 loss: 1.1373 2022/08/01 03:44:54 - mmengine - INFO - Epoch(train) [57][520/940] lr: 1.0000e-03 eta: 7:26:31 time: 0.7182 data_time: 0.0330 memory: 8322 grad_norm: 4.4641 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1851 loss: 1.1851 2022/08/01 03:45:04 - mmengine - INFO - Epoch(train) [57][540/940] lr: 1.0000e-03 eta: 7:26:15 time: 0.4825 data_time: 0.0407 memory: 8322 grad_norm: 4.4364 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1218 loss: 1.1218 2022/08/01 03:45:19 - mmengine - INFO - Epoch(train) [57][560/940] lr: 1.0000e-03 eta: 7:26:03 time: 0.7246 data_time: 0.0433 memory: 8322 grad_norm: 4.4551 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1837 loss: 1.1837 2022/08/01 03:45:31 - mmengine - INFO - Epoch(train) [57][580/940] lr: 1.0000e-03 eta: 7:25:49 time: 0.6004 data_time: 0.0449 memory: 8322 grad_norm: 4.3925 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1146 loss: 1.1146 2022/08/01 03:45:45 - mmengine - INFO - Epoch(train) [57][600/940] lr: 1.0000e-03 eta: 7:25:37 time: 0.7263 data_time: 0.0312 memory: 8322 grad_norm: 4.5277 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1133 loss: 1.1133 2022/08/01 03:45:57 - mmengine - INFO - Epoch(train) [57][620/940] lr: 1.0000e-03 eta: 7:25:23 time: 0.6199 data_time: 0.0447 memory: 8322 grad_norm: 4.4511 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1581 loss: 1.1581 2022/08/01 03:46:11 - mmengine - INFO - Epoch(train) [57][640/940] lr: 1.0000e-03 eta: 7:25:10 time: 0.6576 data_time: 0.0325 memory: 8322 grad_norm: 4.4272 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1685 loss: 1.1685 2022/08/01 03:46:24 - mmengine - INFO - Epoch(train) [57][660/940] lr: 1.0000e-03 eta: 7:24:57 time: 0.6368 data_time: 0.0373 memory: 8322 grad_norm: 4.4534 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1313 loss: 1.1313 2022/08/01 03:46:37 - mmengine - INFO - Epoch(train) [57][680/940] lr: 1.0000e-03 eta: 7:24:44 time: 0.7011 data_time: 0.0422 memory: 8322 grad_norm: 4.4541 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1358 loss: 1.1358 2022/08/01 03:46:49 - mmengine - INFO - Epoch(train) [57][700/940] lr: 1.0000e-03 eta: 7:24:30 time: 0.5850 data_time: 0.0366 memory: 8322 grad_norm: 4.4273 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0231 loss: 1.0231 2022/08/01 03:47:02 - mmengine - INFO - Epoch(train) [57][720/940] lr: 1.0000e-03 eta: 7:24:17 time: 0.6334 data_time: 0.0409 memory: 8322 grad_norm: 4.4641 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0993 loss: 1.0993 2022/08/01 03:47:13 - mmengine - INFO - Epoch(train) [57][740/940] lr: 1.0000e-03 eta: 7:24:02 time: 0.5773 data_time: 0.0380 memory: 8322 grad_norm: 4.4641 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1257 loss: 1.1257 2022/08/01 03:47:28 - mmengine - INFO - Epoch(train) [57][760/940] lr: 1.0000e-03 eta: 7:23:50 time: 0.7197 data_time: 0.0328 memory: 8322 grad_norm: 4.4884 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1865 loss: 1.1865 2022/08/01 03:47:40 - mmengine - INFO - Epoch(train) [57][780/940] lr: 1.0000e-03 eta: 7:23:36 time: 0.5907 data_time: 0.0348 memory: 8322 grad_norm: 4.4213 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0644 loss: 1.0644 2022/08/01 03:47:53 - mmengine - INFO - Epoch(train) [57][800/940] lr: 1.0000e-03 eta: 7:23:23 time: 0.6554 data_time: 0.0482 memory: 8322 grad_norm: 4.3663 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2325 loss: 1.2325 2022/08/01 03:48:04 - mmengine - INFO - Epoch(train) [57][820/940] lr: 1.0000e-03 eta: 7:23:09 time: 0.5854 data_time: 0.0384 memory: 8322 grad_norm: 4.4152 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0257 loss: 1.0257 2022/08/01 03:48:19 - mmengine - INFO - Epoch(train) [57][840/940] lr: 1.0000e-03 eta: 7:22:57 time: 0.7223 data_time: 0.0358 memory: 8322 grad_norm: 4.4203 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2677 loss: 1.2677 2022/08/01 03:48:30 - mmengine - INFO - Epoch(train) [57][860/940] lr: 1.0000e-03 eta: 7:22:42 time: 0.5752 data_time: 0.0350 memory: 8322 grad_norm: 4.5396 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2293 loss: 1.2293 2022/08/01 03:48:45 - mmengine - INFO - Epoch(train) [57][880/940] lr: 1.0000e-03 eta: 7:22:30 time: 0.7384 data_time: 0.0340 memory: 8322 grad_norm: 4.4294 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0866 loss: 1.0866 2022/08/01 03:48:56 - mmengine - INFO - Epoch(train) [57][900/940] lr: 1.0000e-03 eta: 7:22:16 time: 0.5620 data_time: 0.0339 memory: 8322 grad_norm: 4.5229 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/08/01 03:49:11 - mmengine - INFO - Epoch(train) [57][920/940] lr: 1.0000e-03 eta: 7:22:04 time: 0.7152 data_time: 0.0349 memory: 8322 grad_norm: 4.5559 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0958 loss: 1.0958 2022/08/01 03:49:21 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:49:21 - mmengine - INFO - Epoch(train) [57][940/940] lr: 1.0000e-03 eta: 7:21:48 time: 0.5049 data_time: 0.0274 memory: 8322 grad_norm: 4.6928 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2270 loss: 1.2270 2022/08/01 03:49:21 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/08/01 03:49:37 - mmengine - INFO - Epoch(val) [57][20/78] eta: 0:00:40 time: 0.6911 data_time: 0.6309 memory: 1463 2022/08/01 03:49:46 - mmengine - INFO - Epoch(val) [57][40/78] eta: 0:00:15 time: 0.4200 data_time: 0.3587 memory: 1463 2022/08/01 03:49:59 - mmengine - INFO - Epoch(val) [57][60/78] eta: 0:00:11 time: 0.6589 data_time: 0.5947 memory: 1463 2022/08/01 03:50:10 - mmengine - INFO - Epoch(val) [57][78/78] acc/top1: 0.6875 acc/top5: 0.8822 acc/mean1: 0.6874 2022/08/01 03:50:27 - mmengine - INFO - Epoch(train) [58][20/940] lr: 1.0000e-03 eta: 7:21:38 time: 0.8383 data_time: 0.5158 memory: 8322 grad_norm: 4.4094 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1298 loss: 1.1298 2022/08/01 03:50:37 - mmengine - INFO - Epoch(train) [58][40/940] lr: 1.0000e-03 eta: 7:21:23 time: 0.5330 data_time: 0.1492 memory: 8322 grad_norm: 4.3743 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1030 loss: 1.1030 2022/08/01 03:50:53 - mmengine - INFO - Epoch(train) [58][60/940] lr: 1.0000e-03 eta: 7:21:11 time: 0.7629 data_time: 0.2377 memory: 8322 grad_norm: 4.4663 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1390 loss: 1.1390 2022/08/01 03:51:04 - mmengine - INFO - Epoch(train) [58][80/940] lr: 1.0000e-03 eta: 7:20:57 time: 0.5694 data_time: 0.0320 memory: 8322 grad_norm: 4.3461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9785 loss: 0.9785 2022/08/01 03:51:19 - mmengine - INFO - Epoch(train) [58][100/940] lr: 1.0000e-03 eta: 7:20:46 time: 0.7640 data_time: 0.0341 memory: 8322 grad_norm: 4.3715 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1610 loss: 1.1610 2022/08/01 03:51:30 - mmengine - INFO - Epoch(train) [58][120/940] lr: 1.0000e-03 eta: 7:20:31 time: 0.5495 data_time: 0.0322 memory: 8322 grad_norm: 4.3980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1993 loss: 1.1993 2022/08/01 03:51:45 - mmengine - INFO - Epoch(train) [58][140/940] lr: 1.0000e-03 eta: 7:20:19 time: 0.7218 data_time: 0.0347 memory: 8322 grad_norm: 4.3817 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1790 loss: 1.1790 2022/08/01 03:51:56 - mmengine - INFO - Epoch(train) [58][160/940] lr: 1.0000e-03 eta: 7:20:04 time: 0.5571 data_time: 0.0390 memory: 8322 grad_norm: 4.5065 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0817 loss: 1.0817 2022/08/01 03:52:10 - mmengine - INFO - Epoch(train) [58][180/940] lr: 1.0000e-03 eta: 7:19:52 time: 0.7009 data_time: 0.0389 memory: 8322 grad_norm: 4.3744 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0842 loss: 1.0842 2022/08/01 03:52:21 - mmengine - INFO - Epoch(train) [58][200/940] lr: 1.0000e-03 eta: 7:19:37 time: 0.5552 data_time: 0.0345 memory: 8322 grad_norm: 4.4447 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1042 loss: 1.1042 2022/08/01 03:52:35 - mmengine - INFO - Epoch(train) [58][220/940] lr: 1.0000e-03 eta: 7:19:25 time: 0.7088 data_time: 0.0491 memory: 8322 grad_norm: 4.3644 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1966 loss: 1.1966 2022/08/01 03:52:47 - mmengine - INFO - Epoch(train) [58][240/940] lr: 1.0000e-03 eta: 7:19:10 time: 0.5680 data_time: 0.0288 memory: 8322 grad_norm: 4.4990 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1168 loss: 1.1168 2022/08/01 03:53:00 - mmengine - INFO - Epoch(train) [58][260/940] lr: 1.0000e-03 eta: 7:18:58 time: 0.6894 data_time: 0.0531 memory: 8322 grad_norm: 4.4711 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0946 loss: 1.0946 2022/08/01 03:53:12 - mmengine - INFO - Epoch(train) [58][280/940] lr: 1.0000e-03 eta: 7:18:44 time: 0.5904 data_time: 0.1647 memory: 8322 grad_norm: 4.4269 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0983 loss: 1.0983 2022/08/01 03:53:27 - mmengine - INFO - Epoch(train) [58][300/940] lr: 1.0000e-03 eta: 7:18:32 time: 0.7283 data_time: 0.2729 memory: 8322 grad_norm: 4.5155 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0823 loss: 1.0823 2022/08/01 03:53:39 - mmengine - INFO - Epoch(train) [58][320/940] lr: 1.0000e-03 eta: 7:18:18 time: 0.6242 data_time: 0.1742 memory: 8322 grad_norm: 4.4341 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.2091 loss: 1.2091 2022/08/01 03:53:53 - mmengine - INFO - Epoch(train) [58][340/940] lr: 1.0000e-03 eta: 7:18:05 time: 0.6754 data_time: 0.2752 memory: 8322 grad_norm: 4.5093 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1540 loss: 1.1540 2022/08/01 03:54:05 - mmengine - INFO - Epoch(train) [58][360/940] lr: 1.0000e-03 eta: 7:17:51 time: 0.5913 data_time: 0.1612 memory: 8322 grad_norm: 4.4377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0970 loss: 1.0970 2022/08/01 03:54:18 - mmengine - INFO - Epoch(train) [58][380/940] lr: 1.0000e-03 eta: 7:17:38 time: 0.6766 data_time: 0.1392 memory: 8322 grad_norm: 4.4828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1642 loss: 1.1642 2022/08/01 03:54:30 - mmengine - INFO - Epoch(train) [58][400/940] lr: 1.0000e-03 eta: 7:17:24 time: 0.6099 data_time: 0.1122 memory: 8322 grad_norm: 4.4152 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1993 loss: 1.1993 2022/08/01 03:54:43 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 03:54:43 - mmengine - INFO - Epoch(train) [58][420/940] lr: 1.0000e-03 eta: 7:17:11 time: 0.6392 data_time: 0.0747 memory: 8322 grad_norm: 4.4520 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1721 loss: 1.1721 2022/08/01 03:54:55 - mmengine - INFO - Epoch(train) [58][440/940] lr: 1.0000e-03 eta: 7:16:57 time: 0.5863 data_time: 0.0507 memory: 8322 grad_norm: 4.4254 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3122 loss: 1.3122 2022/08/01 03:55:09 - mmengine - INFO - Epoch(train) [58][460/940] lr: 1.0000e-03 eta: 7:16:44 time: 0.7011 data_time: 0.0674 memory: 8322 grad_norm: 4.4381 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1122 loss: 1.1122 2022/08/01 03:55:21 - mmengine - INFO - Epoch(train) [58][480/940] lr: 1.0000e-03 eta: 7:16:30 time: 0.5851 data_time: 0.0861 memory: 8322 grad_norm: 4.5340 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1539 loss: 1.1539 2022/08/01 03:55:35 - mmengine - INFO - Epoch(train) [58][500/940] lr: 1.0000e-03 eta: 7:16:18 time: 0.6865 data_time: 0.0450 memory: 8322 grad_norm: 4.4424 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0301 loss: 1.0301 2022/08/01 03:55:47 - mmengine - INFO - Epoch(train) [58][520/940] lr: 1.0000e-03 eta: 7:16:04 time: 0.6331 data_time: 0.0521 memory: 8322 grad_norm: 4.4466 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1342 loss: 1.1342 2022/08/01 03:56:01 - mmengine - INFO - Epoch(train) [58][540/940] lr: 1.0000e-03 eta: 7:15:51 time: 0.6722 data_time: 0.0379 memory: 8322 grad_norm: 4.5367 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2170 loss: 1.2170 2022/08/01 03:56:14 - mmengine - INFO - Epoch(train) [58][560/940] lr: 1.0000e-03 eta: 7:15:38 time: 0.6469 data_time: 0.0549 memory: 8322 grad_norm: 4.4524 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2115 loss: 1.2115 2022/08/01 03:56:27 - mmengine - INFO - Epoch(train) [58][580/940] lr: 1.0000e-03 eta: 7:15:25 time: 0.6640 data_time: 0.0816 memory: 8322 grad_norm: 4.4699 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0770 loss: 1.0770 2022/08/01 03:56:38 - mmengine - INFO - Epoch(train) [58][600/940] lr: 1.0000e-03 eta: 7:15:11 time: 0.5822 data_time: 0.0536 memory: 8322 grad_norm: 4.4925 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.1568 loss: 1.1568 2022/08/01 03:56:54 - mmengine - INFO - Epoch(train) [58][620/940] lr: 1.0000e-03 eta: 7:14:59 time: 0.7580 data_time: 0.2106 memory: 8322 grad_norm: 4.4416 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9881 loss: 0.9881 2022/08/01 03:57:05 - mmengine - INFO - Epoch(train) [58][640/940] lr: 1.0000e-03 eta: 7:14:45 time: 0.5558 data_time: 0.2354 memory: 8322 grad_norm: 4.5729 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1729 loss: 1.1729 2022/08/01 03:57:18 - mmengine - INFO - Epoch(train) [58][660/940] lr: 1.0000e-03 eta: 7:14:32 time: 0.6816 data_time: 0.2592 memory: 8322 grad_norm: 4.4504 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2281 loss: 1.2281 2022/08/01 03:57:29 - mmengine - INFO - Epoch(train) [58][680/940] lr: 1.0000e-03 eta: 7:14:17 time: 0.5334 data_time: 0.1901 memory: 8322 grad_norm: 4.4212 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0796 loss: 1.0796 2022/08/01 03:57:44 - mmengine - INFO - Epoch(train) [58][700/940] lr: 1.0000e-03 eta: 7:14:05 time: 0.7598 data_time: 0.4191 memory: 8322 grad_norm: 4.4692 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0961 loss: 1.0961 2022/08/01 03:57:56 - mmengine - INFO - Epoch(train) [58][720/940] lr: 1.0000e-03 eta: 7:13:51 time: 0.5894 data_time: 0.3527 memory: 8322 grad_norm: 4.4703 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1657 loss: 1.1657 2022/08/01 03:58:10 - mmengine - INFO - Epoch(train) [58][740/940] lr: 1.0000e-03 eta: 7:13:39 time: 0.7055 data_time: 0.4697 memory: 8322 grad_norm: 4.3239 top1_acc: 0.6562 top5_acc: 1.0000 loss_cls: 1.1577 loss: 1.1577 2022/08/01 03:58:21 - mmengine - INFO - Epoch(train) [58][760/940] lr: 1.0000e-03 eta: 7:13:24 time: 0.5512 data_time: 0.3067 memory: 8322 grad_norm: 4.4746 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0959 loss: 1.0959 2022/08/01 03:58:37 - mmengine - INFO - Epoch(train) [58][780/940] lr: 1.0000e-03 eta: 7:13:13 time: 0.7805 data_time: 0.5091 memory: 8322 grad_norm: 4.4620 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0399 loss: 1.0399 2022/08/01 03:58:48 - mmengine - INFO - Epoch(train) [58][800/940] lr: 1.0000e-03 eta: 7:12:59 time: 0.5595 data_time: 0.3347 memory: 8322 grad_norm: 4.4946 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1425 loss: 1.1425 2022/08/01 03:59:03 - mmengine - INFO - Epoch(train) [58][820/940] lr: 1.0000e-03 eta: 7:12:47 time: 0.7443 data_time: 0.5068 memory: 8322 grad_norm: 4.4443 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1526 loss: 1.1526 2022/08/01 03:59:14 - mmengine - INFO - Epoch(train) [58][840/940] lr: 1.0000e-03 eta: 7:12:32 time: 0.5474 data_time: 0.2786 memory: 8322 grad_norm: 4.5064 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1280 loss: 1.1280 2022/08/01 03:59:28 - mmengine - INFO - Epoch(train) [58][860/940] lr: 1.0000e-03 eta: 7:12:19 time: 0.6924 data_time: 0.4766 memory: 8322 grad_norm: 4.5454 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1495 loss: 1.1495 2022/08/01 03:59:39 - mmengine - INFO - Epoch(train) [58][880/940] lr: 1.0000e-03 eta: 7:12:05 time: 0.5797 data_time: 0.3358 memory: 8322 grad_norm: 4.5051 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0820 loss: 1.0820 2022/08/01 03:59:54 - mmengine - INFO - Epoch(train) [58][900/940] lr: 1.0000e-03 eta: 7:11:53 time: 0.7266 data_time: 0.5033 memory: 8322 grad_norm: 4.4542 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1002 loss: 1.1002 2022/08/01 04:00:06 - mmengine - INFO - Epoch(train) [58][920/940] lr: 1.0000e-03 eta: 7:11:39 time: 0.6007 data_time: 0.3621 memory: 8322 grad_norm: 4.6548 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/08/01 04:00:18 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:00:18 - mmengine - INFO - Epoch(train) [58][940/940] lr: 1.0000e-03 eta: 7:11:26 time: 0.6255 data_time: 0.4269 memory: 8322 grad_norm: 4.7151 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.1197 loss: 1.1197 2022/08/01 04:00:32 - mmengine - INFO - Epoch(val) [58][20/78] eta: 0:00:39 time: 0.6762 data_time: 0.6124 memory: 1463 2022/08/01 04:00:41 - mmengine - INFO - Epoch(val) [58][40/78] eta: 0:00:16 time: 0.4361 data_time: 0.3733 memory: 1463 2022/08/01 04:00:54 - mmengine - INFO - Epoch(val) [58][60/78] eta: 0:00:11 time: 0.6457 data_time: 0.5717 memory: 1463 2022/08/01 04:01:04 - mmengine - INFO - Epoch(val) [58][78/78] acc/top1: 0.6888 acc/top5: 0.8819 acc/mean1: 0.6887 2022/08/01 04:01:22 - mmengine - INFO - Epoch(train) [59][20/940] lr: 1.0000e-03 eta: 7:11:16 time: 0.8935 data_time: 0.3588 memory: 8322 grad_norm: 4.3902 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1036 loss: 1.1036 2022/08/01 04:01:32 - mmengine - INFO - Epoch(train) [59][40/940] lr: 1.0000e-03 eta: 7:11:01 time: 0.5013 data_time: 0.1637 memory: 8322 grad_norm: 4.3960 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.1542 loss: 1.1542 2022/08/01 04:01:47 - mmengine - INFO - Epoch(train) [59][60/940] lr: 1.0000e-03 eta: 7:10:49 time: 0.7550 data_time: 0.1544 memory: 8322 grad_norm: 4.3602 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9812 loss: 0.9812 2022/08/01 04:01:59 - mmengine - INFO - Epoch(train) [59][80/940] lr: 1.0000e-03 eta: 7:10:35 time: 0.5952 data_time: 0.0793 memory: 8322 grad_norm: 4.6040 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2188 loss: 1.2188 2022/08/01 04:02:13 - mmengine - INFO - Epoch(train) [59][100/940] lr: 1.0000e-03 eta: 7:10:22 time: 0.6949 data_time: 0.0371 memory: 8322 grad_norm: 4.4120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1678 loss: 1.1678 2022/08/01 04:02:26 - mmengine - INFO - Epoch(train) [59][120/940] lr: 1.0000e-03 eta: 7:10:09 time: 0.6258 data_time: 0.0351 memory: 8322 grad_norm: 4.4234 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0926 loss: 1.0926 2022/08/01 04:02:40 - mmengine - INFO - Epoch(train) [59][140/940] lr: 1.0000e-03 eta: 7:09:57 time: 0.7255 data_time: 0.0373 memory: 8322 grad_norm: 4.5427 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2012 loss: 1.2012 2022/08/01 04:02:51 - mmengine - INFO - Epoch(train) [59][160/940] lr: 1.0000e-03 eta: 7:09:42 time: 0.5541 data_time: 0.0349 memory: 8322 grad_norm: 4.4830 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0836 loss: 1.0836 2022/08/01 04:03:05 - mmengine - INFO - Epoch(train) [59][180/940] lr: 1.0000e-03 eta: 7:09:30 time: 0.6993 data_time: 0.0514 memory: 8322 grad_norm: 4.4852 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1310 loss: 1.1310 2022/08/01 04:03:16 - mmengine - INFO - Epoch(train) [59][200/940] lr: 1.0000e-03 eta: 7:09:15 time: 0.5347 data_time: 0.0407 memory: 8322 grad_norm: 4.4165 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1102 loss: 1.1102 2022/08/01 04:03:29 - mmengine - INFO - Epoch(train) [59][220/940] lr: 1.0000e-03 eta: 7:09:02 time: 0.6711 data_time: 0.0394 memory: 8322 grad_norm: 4.4672 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1626 loss: 1.1626 2022/08/01 04:03:41 - mmengine - INFO - Epoch(train) [59][240/940] lr: 1.0000e-03 eta: 7:08:48 time: 0.5822 data_time: 0.0393 memory: 8322 grad_norm: 4.4939 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0994 loss: 1.0994 2022/08/01 04:03:54 - mmengine - INFO - Epoch(train) [59][260/940] lr: 1.0000e-03 eta: 7:08:35 time: 0.6681 data_time: 0.0380 memory: 8322 grad_norm: 4.4512 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.2381 loss: 1.2381 2022/08/01 04:04:08 - mmengine - INFO - Epoch(train) [59][280/940] lr: 1.0000e-03 eta: 7:08:22 time: 0.6782 data_time: 0.0332 memory: 8322 grad_norm: 4.4920 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0367 loss: 1.0367 2022/08/01 04:04:21 - mmengine - INFO - Epoch(train) [59][300/940] lr: 1.0000e-03 eta: 7:08:09 time: 0.6399 data_time: 0.0378 memory: 8322 grad_norm: 4.3654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0755 loss: 1.0755 2022/08/01 04:04:32 - mmengine - INFO - Epoch(train) [59][320/940] lr: 1.0000e-03 eta: 7:07:54 time: 0.5648 data_time: 0.0337 memory: 8322 grad_norm: 4.4851 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0971 loss: 1.0971 2022/08/01 04:04:46 - mmengine - INFO - Epoch(train) [59][340/940] lr: 1.0000e-03 eta: 7:07:42 time: 0.6885 data_time: 0.0520 memory: 8322 grad_norm: 4.5118 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1040 loss: 1.1040 2022/08/01 04:04:58 - mmengine - INFO - Epoch(train) [59][360/940] lr: 1.0000e-03 eta: 7:07:28 time: 0.6112 data_time: 0.2015 memory: 8322 grad_norm: 4.4846 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0909 loss: 1.0909 2022/08/01 04:05:11 - mmengine - INFO - Epoch(train) [59][380/940] lr: 1.0000e-03 eta: 7:07:15 time: 0.6422 data_time: 0.1834 memory: 8322 grad_norm: 4.4789 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.2686 loss: 1.2686 2022/08/01 04:05:24 - mmengine - INFO - Epoch(train) [59][400/940] lr: 1.0000e-03 eta: 7:07:01 time: 0.6356 data_time: 0.1874 memory: 8322 grad_norm: 4.4164 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0455 loss: 1.0455 2022/08/01 04:05:37 - mmengine - INFO - Epoch(train) [59][420/940] lr: 1.0000e-03 eta: 7:06:48 time: 0.6709 data_time: 0.1355 memory: 8322 grad_norm: 4.5601 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/08/01 04:05:50 - mmengine - INFO - Epoch(train) [59][440/940] lr: 1.0000e-03 eta: 7:06:35 time: 0.6418 data_time: 0.1604 memory: 8322 grad_norm: 4.4491 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2020 loss: 1.2020 2022/08/01 04:06:03 - mmengine - INFO - Epoch(train) [59][460/940] lr: 1.0000e-03 eta: 7:06:22 time: 0.6409 data_time: 0.0931 memory: 8322 grad_norm: 4.3643 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1658 loss: 1.1658 2022/08/01 04:06:16 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:06:16 - mmengine - INFO - Epoch(train) [59][480/940] lr: 1.0000e-03 eta: 7:06:09 time: 0.6699 data_time: 0.0770 memory: 8322 grad_norm: 4.4353 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0073 loss: 1.0073 2022/08/01 04:06:28 - mmengine - INFO - Epoch(train) [59][500/940] lr: 1.0000e-03 eta: 7:05:55 time: 0.6144 data_time: 0.0354 memory: 8322 grad_norm: 4.4602 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1348 loss: 1.1348 2022/08/01 04:06:42 - mmengine - INFO - Epoch(train) [59][520/940] lr: 1.0000e-03 eta: 7:05:42 time: 0.6672 data_time: 0.0602 memory: 8322 grad_norm: 4.4803 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0516 loss: 1.0516 2022/08/01 04:06:54 - mmengine - INFO - Epoch(train) [59][540/940] lr: 1.0000e-03 eta: 7:05:28 time: 0.6046 data_time: 0.0363 memory: 8322 grad_norm: 4.4821 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1549 loss: 1.1549 2022/08/01 04:07:08 - mmengine - INFO - Epoch(train) [59][560/940] lr: 1.0000e-03 eta: 7:05:16 time: 0.7026 data_time: 0.0363 memory: 8322 grad_norm: 4.5059 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1692 loss: 1.1692 2022/08/01 04:07:21 - mmengine - INFO - Epoch(train) [59][580/940] lr: 1.0000e-03 eta: 7:05:02 time: 0.6349 data_time: 0.0426 memory: 8322 grad_norm: 4.4342 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1702 loss: 1.1702 2022/08/01 04:07:33 - mmengine - INFO - Epoch(train) [59][600/940] lr: 1.0000e-03 eta: 7:04:49 time: 0.6234 data_time: 0.0383 memory: 8322 grad_norm: 4.4954 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.1459 loss: 1.1459 2022/08/01 04:07:46 - mmengine - INFO - Epoch(train) [59][620/940] lr: 1.0000e-03 eta: 7:04:36 time: 0.6407 data_time: 0.0321 memory: 8322 grad_norm: 4.4964 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0758 loss: 1.0758 2022/08/01 04:07:58 - mmengine - INFO - Epoch(train) [59][640/940] lr: 1.0000e-03 eta: 7:04:22 time: 0.6171 data_time: 0.1126 memory: 8322 grad_norm: 4.5139 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2301 loss: 1.2301 2022/08/01 04:08:10 - mmengine - INFO - Epoch(train) [59][660/940] lr: 1.0000e-03 eta: 7:04:08 time: 0.6069 data_time: 0.1106 memory: 8322 grad_norm: 4.4387 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1677 loss: 1.1677 2022/08/01 04:08:24 - mmengine - INFO - Epoch(train) [59][680/940] lr: 1.0000e-03 eta: 7:03:56 time: 0.6955 data_time: 0.1126 memory: 8322 grad_norm: 4.4780 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/08/01 04:08:36 - mmengine - INFO - Epoch(train) [59][700/940] lr: 1.0000e-03 eta: 7:03:42 time: 0.5965 data_time: 0.0663 memory: 8322 grad_norm: 4.4562 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1603 loss: 1.1603 2022/08/01 04:08:51 - mmengine - INFO - Epoch(train) [59][720/940] lr: 1.0000e-03 eta: 7:03:30 time: 0.7286 data_time: 0.1791 memory: 8322 grad_norm: 4.5102 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0971 loss: 1.0971 2022/08/01 04:09:03 - mmengine - INFO - Epoch(train) [59][740/940] lr: 1.0000e-03 eta: 7:03:16 time: 0.5979 data_time: 0.0733 memory: 8322 grad_norm: 4.4921 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1266 loss: 1.1266 2022/08/01 04:09:17 - mmengine - INFO - Epoch(train) [59][760/940] lr: 1.0000e-03 eta: 7:03:04 time: 0.7263 data_time: 0.0300 memory: 8322 grad_norm: 4.4932 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0120 loss: 1.0120 2022/08/01 04:09:29 - mmengine - INFO - Epoch(train) [59][780/940] lr: 1.0000e-03 eta: 7:02:49 time: 0.5684 data_time: 0.0370 memory: 8322 grad_norm: 4.3991 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0608 loss: 1.0608 2022/08/01 04:09:43 - mmengine - INFO - Epoch(train) [59][800/940] lr: 1.0000e-03 eta: 7:02:37 time: 0.7409 data_time: 0.0468 memory: 8322 grad_norm: 4.4684 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1469 loss: 1.1469 2022/08/01 04:09:55 - mmengine - INFO - Epoch(train) [59][820/940] lr: 1.0000e-03 eta: 7:02:23 time: 0.5752 data_time: 0.0354 memory: 8322 grad_norm: 4.4881 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1522 loss: 1.1522 2022/08/01 04:10:10 - mmengine - INFO - Epoch(train) [59][840/940] lr: 1.0000e-03 eta: 7:02:11 time: 0.7301 data_time: 0.0430 memory: 8322 grad_norm: 4.5135 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0917 loss: 1.0917 2022/08/01 04:10:21 - mmengine - INFO - Epoch(train) [59][860/940] lr: 1.0000e-03 eta: 7:01:57 time: 0.5646 data_time: 0.0294 memory: 8322 grad_norm: 4.5531 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1721 loss: 1.1721 2022/08/01 04:10:35 - mmengine - INFO - Epoch(train) [59][880/940] lr: 1.0000e-03 eta: 7:01:44 time: 0.6982 data_time: 0.0315 memory: 8322 grad_norm: 4.4556 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0670 loss: 1.0670 2022/08/01 04:10:46 - mmengine - INFO - Epoch(train) [59][900/940] lr: 1.0000e-03 eta: 7:01:29 time: 0.5463 data_time: 0.0342 memory: 8322 grad_norm: 4.4813 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0631 loss: 1.0631 2022/08/01 04:11:00 - mmengine - INFO - Epoch(train) [59][920/940] lr: 1.0000e-03 eta: 7:01:17 time: 0.7085 data_time: 0.0354 memory: 8322 grad_norm: 4.5679 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1928 loss: 1.1928 2022/08/01 04:11:09 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:11:09 - mmengine - INFO - Epoch(train) [59][940/940] lr: 1.0000e-03 eta: 7:01:01 time: 0.4616 data_time: 0.0455 memory: 8322 grad_norm: 4.7799 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1147 loss: 1.1147 2022/08/01 04:11:23 - mmengine - INFO - Epoch(val) [59][20/78] eta: 0:00:38 time: 0.6718 data_time: 0.6056 memory: 1463 2022/08/01 04:11:32 - mmengine - INFO - Epoch(val) [59][40/78] eta: 0:00:18 time: 0.4829 data_time: 0.4182 memory: 1463 2022/08/01 04:11:44 - mmengine - INFO - Epoch(val) [59][60/78] eta: 0:00:10 time: 0.6053 data_time: 0.5408 memory: 1463 2022/08/01 04:11:56 - mmengine - INFO - Epoch(val) [59][78/78] acc/top1: 0.6893 acc/top5: 0.8832 acc/mean1: 0.6892 2022/08/01 04:12:12 - mmengine - INFO - Epoch(train) [60][20/940] lr: 1.0000e-03 eta: 7:00:50 time: 0.8152 data_time: 0.5912 memory: 8322 grad_norm: 4.5251 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0830 loss: 1.0830 2022/08/01 04:12:24 - mmengine - INFO - Epoch(train) [60][40/940] lr: 1.0000e-03 eta: 7:00:36 time: 0.5808 data_time: 0.3648 memory: 8322 grad_norm: 4.3802 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0061 loss: 1.0061 2022/08/01 04:12:38 - mmengine - INFO - Epoch(train) [60][60/940] lr: 1.0000e-03 eta: 7:00:24 time: 0.7358 data_time: 0.4883 memory: 8322 grad_norm: 4.4774 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0406 loss: 1.0406 2022/08/01 04:12:50 - mmengine - INFO - Epoch(train) [60][80/940] lr: 1.0000e-03 eta: 7:00:10 time: 0.5852 data_time: 0.3643 memory: 8322 grad_norm: 4.5145 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2145 loss: 1.2145 2022/08/01 04:13:05 - mmengine - INFO - Epoch(train) [60][100/940] lr: 1.0000e-03 eta: 6:59:58 time: 0.7266 data_time: 0.4154 memory: 8322 grad_norm: 4.5626 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0173 loss: 1.0173 2022/08/01 04:13:16 - mmengine - INFO - Epoch(train) [60][120/940] lr: 1.0000e-03 eta: 6:59:43 time: 0.5465 data_time: 0.2436 memory: 8322 grad_norm: 4.4646 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9936 loss: 0.9936 2022/08/01 04:13:30 - mmengine - INFO - Epoch(train) [60][140/940] lr: 1.0000e-03 eta: 6:59:31 time: 0.7276 data_time: 0.2956 memory: 8322 grad_norm: 4.4493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9350 loss: 0.9350 2022/08/01 04:13:41 - mmengine - INFO - Epoch(train) [60][160/940] lr: 1.0000e-03 eta: 6:59:16 time: 0.5311 data_time: 0.1373 memory: 8322 grad_norm: 4.3613 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1390 loss: 1.1390 2022/08/01 04:13:56 - mmengine - INFO - Epoch(train) [60][180/940] lr: 1.0000e-03 eta: 6:59:05 time: 0.7450 data_time: 0.1561 memory: 8322 grad_norm: 4.5463 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1481 loss: 1.1481 2022/08/01 04:14:06 - mmengine - INFO - Epoch(train) [60][200/940] lr: 1.0000e-03 eta: 6:58:50 time: 0.5256 data_time: 0.0828 memory: 8322 grad_norm: 4.5676 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1716 loss: 1.1716 2022/08/01 04:14:20 - mmengine - INFO - Epoch(train) [60][220/940] lr: 1.0000e-03 eta: 6:58:37 time: 0.6927 data_time: 0.1153 memory: 8322 grad_norm: 4.4538 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2333 loss: 1.2333 2022/08/01 04:14:31 - mmengine - INFO - Epoch(train) [60][240/940] lr: 1.0000e-03 eta: 6:58:23 time: 0.5554 data_time: 0.0507 memory: 8322 grad_norm: 4.4859 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1446 loss: 1.1446 2022/08/01 04:14:46 - mmengine - INFO - Epoch(train) [60][260/940] lr: 1.0000e-03 eta: 6:58:10 time: 0.7166 data_time: 0.0850 memory: 8322 grad_norm: 4.4781 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0759 loss: 1.0759 2022/08/01 04:14:56 - mmengine - INFO - Epoch(train) [60][280/940] lr: 1.0000e-03 eta: 6:57:56 time: 0.5345 data_time: 0.0375 memory: 8322 grad_norm: 4.4571 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1918 loss: 1.1918 2022/08/01 04:15:11 - mmengine - INFO - Epoch(train) [60][300/940] lr: 1.0000e-03 eta: 6:57:44 time: 0.7366 data_time: 0.0315 memory: 8322 grad_norm: 4.5514 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2209 loss: 1.2209 2022/08/01 04:15:22 - mmengine - INFO - Epoch(train) [60][320/940] lr: 1.0000e-03 eta: 6:57:29 time: 0.5368 data_time: 0.0429 memory: 8322 grad_norm: 4.5414 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1740 loss: 1.1740 2022/08/01 04:15:36 - mmengine - INFO - Epoch(train) [60][340/940] lr: 1.0000e-03 eta: 6:57:17 time: 0.7308 data_time: 0.0386 memory: 8322 grad_norm: 4.4371 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0892 loss: 1.0892 2022/08/01 04:15:48 - mmengine - INFO - Epoch(train) [60][360/940] lr: 1.0000e-03 eta: 6:57:03 time: 0.5923 data_time: 0.0597 memory: 8322 grad_norm: 4.4827 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0655 loss: 1.0655 2022/08/01 04:16:01 - mmengine - INFO - Epoch(train) [60][380/940] lr: 1.0000e-03 eta: 6:56:50 time: 0.6616 data_time: 0.0321 memory: 8322 grad_norm: 4.6830 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1456 loss: 1.1456 2022/08/01 04:16:13 - mmengine - INFO - Epoch(train) [60][400/940] lr: 1.0000e-03 eta: 6:56:36 time: 0.6030 data_time: 0.0385 memory: 8322 grad_norm: 4.3840 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1210 loss: 1.1210 2022/08/01 04:16:29 - mmengine - INFO - Epoch(train) [60][420/940] lr: 1.0000e-03 eta: 6:56:25 time: 0.7873 data_time: 0.0288 memory: 8322 grad_norm: 4.4627 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1386 loss: 1.1386 2022/08/01 04:16:40 - mmengine - INFO - Epoch(train) [60][440/940] lr: 1.0000e-03 eta: 6:56:10 time: 0.5571 data_time: 0.0415 memory: 8322 grad_norm: 4.4496 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0933 loss: 1.0933 2022/08/01 04:16:54 - mmengine - INFO - Epoch(train) [60][460/940] lr: 1.0000e-03 eta: 6:55:58 time: 0.7065 data_time: 0.0300 memory: 8322 grad_norm: 4.3071 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1981 loss: 1.1981 2022/08/01 04:17:07 - mmengine - INFO - Epoch(train) [60][480/940] lr: 1.0000e-03 eta: 6:55:44 time: 0.6253 data_time: 0.1229 memory: 8322 grad_norm: 4.4739 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0590 loss: 1.0590 2022/08/01 04:17:18 - mmengine - INFO - Epoch(train) [60][500/940] lr: 1.0000e-03 eta: 6:55:30 time: 0.5738 data_time: 0.1984 memory: 8322 grad_norm: 4.4998 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1216 loss: 1.1216 2022/08/01 04:17:32 - mmengine - INFO - Epoch(train) [60][520/940] lr: 1.0000e-03 eta: 6:55:17 time: 0.6939 data_time: 0.4110 memory: 8322 grad_norm: 4.5128 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0663 loss: 1.0663 2022/08/01 04:17:45 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:17:45 - mmengine - INFO - Epoch(train) [60][540/940] lr: 1.0000e-03 eta: 6:55:04 time: 0.6280 data_time: 0.2096 memory: 8322 grad_norm: 4.5305 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1887 loss: 1.1887 2022/08/01 04:17:58 - mmengine - INFO - Epoch(train) [60][560/940] lr: 1.0000e-03 eta: 6:54:51 time: 0.6487 data_time: 0.2797 memory: 8322 grad_norm: 4.5050 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0795 loss: 1.0795 2022/08/01 04:18:11 - mmengine - INFO - Epoch(train) [60][580/940] lr: 1.0000e-03 eta: 6:54:38 time: 0.6658 data_time: 0.0762 memory: 8322 grad_norm: 4.4322 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1874 loss: 1.1874 2022/08/01 04:18:23 - mmengine - INFO - Epoch(train) [60][600/940] lr: 1.0000e-03 eta: 6:54:24 time: 0.5980 data_time: 0.0761 memory: 8322 grad_norm: 4.4629 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1128 loss: 1.1128 2022/08/01 04:18:38 - mmengine - INFO - Epoch(train) [60][620/940] lr: 1.0000e-03 eta: 6:54:12 time: 0.7093 data_time: 0.0496 memory: 8322 grad_norm: 4.4830 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0726 loss: 1.0726 2022/08/01 04:18:49 - mmengine - INFO - Epoch(train) [60][640/940] lr: 1.0000e-03 eta: 6:53:57 time: 0.5659 data_time: 0.0564 memory: 8322 grad_norm: 4.4779 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0127 loss: 1.0127 2022/08/01 04:19:03 - mmengine - INFO - Epoch(train) [60][660/940] lr: 1.0000e-03 eta: 6:53:45 time: 0.6918 data_time: 0.0798 memory: 8322 grad_norm: 4.4655 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0362 loss: 1.0362 2022/08/01 04:19:15 - mmengine - INFO - Epoch(train) [60][680/940] lr: 1.0000e-03 eta: 6:53:31 time: 0.6016 data_time: 0.1607 memory: 8322 grad_norm: 4.4794 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0009 loss: 1.0009 2022/08/01 04:19:29 - mmengine - INFO - Epoch(train) [60][700/940] lr: 1.0000e-03 eta: 6:53:18 time: 0.7151 data_time: 0.0870 memory: 8322 grad_norm: 4.5756 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1736 loss: 1.1736 2022/08/01 04:19:41 - mmengine - INFO - Epoch(train) [60][720/940] lr: 1.0000e-03 eta: 6:53:05 time: 0.6034 data_time: 0.1057 memory: 8322 grad_norm: 4.4402 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1458 loss: 1.1458 2022/08/01 04:19:54 - mmengine - INFO - Epoch(train) [60][740/940] lr: 1.0000e-03 eta: 6:52:52 time: 0.6627 data_time: 0.0714 memory: 8322 grad_norm: 4.4967 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1757 loss: 1.1757 2022/08/01 04:20:06 - mmengine - INFO - Epoch(train) [60][760/940] lr: 1.0000e-03 eta: 6:52:38 time: 0.5875 data_time: 0.0929 memory: 8322 grad_norm: 4.5045 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1995 loss: 1.1995 2022/08/01 04:20:19 - mmengine - INFO - Epoch(train) [60][780/940] lr: 1.0000e-03 eta: 6:52:25 time: 0.6567 data_time: 0.0869 memory: 8322 grad_norm: 4.6334 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1710 loss: 1.1710 2022/08/01 04:20:31 - mmengine - INFO - Epoch(train) [60][800/940] lr: 1.0000e-03 eta: 6:52:10 time: 0.5750 data_time: 0.0786 memory: 8322 grad_norm: 4.5581 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3443 loss: 1.3443 2022/08/01 04:20:44 - mmengine - INFO - Epoch(train) [60][820/940] lr: 1.0000e-03 eta: 6:51:58 time: 0.6887 data_time: 0.1088 memory: 8322 grad_norm: 4.5524 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0730 loss: 1.0730 2022/08/01 04:20:58 - mmengine - INFO - Epoch(train) [60][840/940] lr: 1.0000e-03 eta: 6:51:45 time: 0.6538 data_time: 0.1920 memory: 8322 grad_norm: 4.4543 top1_acc: 0.5938 top5_acc: 0.9688 loss_cls: 1.1447 loss: 1.1447 2022/08/01 04:21:10 - mmengine - INFO - Epoch(train) [60][860/940] lr: 1.0000e-03 eta: 6:51:31 time: 0.6281 data_time: 0.0588 memory: 8322 grad_norm: 4.4460 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0829 loss: 1.0829 2022/08/01 04:21:22 - mmengine - INFO - Epoch(train) [60][880/940] lr: 1.0000e-03 eta: 6:51:17 time: 0.6067 data_time: 0.0315 memory: 8322 grad_norm: 4.4759 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1803 loss: 1.1803 2022/08/01 04:21:35 - mmengine - INFO - Epoch(train) [60][900/940] lr: 1.0000e-03 eta: 6:51:04 time: 0.6358 data_time: 0.0340 memory: 8322 grad_norm: 4.5010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1587 loss: 1.1587 2022/08/01 04:21:47 - mmengine - INFO - Epoch(train) [60][920/940] lr: 1.0000e-03 eta: 6:50:50 time: 0.6229 data_time: 0.0369 memory: 8322 grad_norm: 4.5040 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1341 loss: 1.1341 2022/08/01 04:21:59 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:21:59 - mmengine - INFO - Epoch(train) [60][940/940] lr: 1.0000e-03 eta: 6:50:36 time: 0.5676 data_time: 0.0275 memory: 8322 grad_norm: 4.7195 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.1896 loss: 1.1896 2022/08/01 04:21:59 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/01 04:22:14 - mmengine - INFO - Epoch(val) [60][20/78] eta: 0:00:39 time: 0.6858 data_time: 0.6240 memory: 1463 2022/08/01 04:22:23 - mmengine - INFO - Epoch(val) [60][40/78] eta: 0:00:16 time: 0.4395 data_time: 0.3794 memory: 1463 2022/08/01 04:22:35 - mmengine - INFO - Epoch(val) [60][60/78] eta: 0:00:11 time: 0.6440 data_time: 0.5803 memory: 1463 2022/08/01 04:22:45 - mmengine - INFO - Epoch(val) [60][78/78] acc/top1: 0.6900 acc/top5: 0.8812 acc/mean1: 0.6899 2022/08/01 04:23:03 - mmengine - INFO - Epoch(train) [61][20/940] lr: 1.0000e-03 eta: 6:50:26 time: 0.8811 data_time: 0.4711 memory: 8322 grad_norm: 4.4608 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0912 loss: 1.0912 2022/08/01 04:23:13 - mmengine - INFO - Epoch(train) [61][40/940] lr: 1.0000e-03 eta: 6:50:11 time: 0.4969 data_time: 0.0948 memory: 8322 grad_norm: 4.4163 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0479 loss: 1.0479 2022/08/01 04:23:29 - mmengine - INFO - Epoch(train) [61][60/940] lr: 1.0000e-03 eta: 6:50:00 time: 0.8276 data_time: 0.1273 memory: 8322 grad_norm: 4.4317 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2246 loss: 1.2246 2022/08/01 04:23:39 - mmengine - INFO - Epoch(train) [61][80/940] lr: 1.0000e-03 eta: 6:49:45 time: 0.4997 data_time: 0.0690 memory: 8322 grad_norm: 4.4636 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0934 loss: 1.0934 2022/08/01 04:23:53 - mmengine - INFO - Epoch(train) [61][100/940] lr: 1.0000e-03 eta: 6:49:32 time: 0.6961 data_time: 0.1313 memory: 8322 grad_norm: 4.4814 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1217 loss: 1.1217 2022/08/01 04:24:04 - mmengine - INFO - Epoch(train) [61][120/940] lr: 1.0000e-03 eta: 6:49:18 time: 0.5404 data_time: 0.1510 memory: 8322 grad_norm: 4.5022 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1525 loss: 1.1525 2022/08/01 04:24:18 - mmengine - INFO - Epoch(train) [61][140/940] lr: 1.0000e-03 eta: 6:49:05 time: 0.7175 data_time: 0.3251 memory: 8322 grad_norm: 4.5634 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1987 loss: 1.1987 2022/08/01 04:24:31 - mmengine - INFO - Epoch(train) [61][160/940] lr: 1.0000e-03 eta: 6:48:52 time: 0.6058 data_time: 0.2403 memory: 8322 grad_norm: 4.4559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1214 loss: 1.1214 2022/08/01 04:24:46 - mmengine - INFO - Epoch(train) [61][180/940] lr: 1.0000e-03 eta: 6:48:40 time: 0.7559 data_time: 0.3032 memory: 8322 grad_norm: 4.5239 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0196 loss: 1.0196 2022/08/01 04:24:56 - mmengine - INFO - Epoch(train) [61][200/940] lr: 1.0000e-03 eta: 6:48:25 time: 0.5322 data_time: 0.2063 memory: 8322 grad_norm: 4.4847 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1636 loss: 1.1636 2022/08/01 04:25:11 - mmengine - INFO - Epoch(train) [61][220/940] lr: 1.0000e-03 eta: 6:48:13 time: 0.7243 data_time: 0.3266 memory: 8322 grad_norm: 4.5841 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0566 loss: 1.0566 2022/08/01 04:25:22 - mmengine - INFO - Epoch(train) [61][240/940] lr: 1.0000e-03 eta: 6:47:59 time: 0.5528 data_time: 0.2483 memory: 8322 grad_norm: 4.4286 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0735 loss: 1.0735 2022/08/01 04:25:36 - mmengine - INFO - Epoch(train) [61][260/940] lr: 1.0000e-03 eta: 6:47:46 time: 0.7016 data_time: 0.3543 memory: 8322 grad_norm: 4.5972 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1802 loss: 1.1802 2022/08/01 04:25:48 - mmengine - INFO - Epoch(train) [61][280/940] lr: 1.0000e-03 eta: 6:47:32 time: 0.5825 data_time: 0.2830 memory: 8322 grad_norm: 4.5147 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2041 loss: 1.2041 2022/08/01 04:26:02 - mmengine - INFO - Epoch(train) [61][300/940] lr: 1.0000e-03 eta: 6:47:20 time: 0.7285 data_time: 0.4998 memory: 8322 grad_norm: 4.4919 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0383 loss: 1.0383 2022/08/01 04:26:14 - mmengine - INFO - Epoch(train) [61][320/940] lr: 1.0000e-03 eta: 6:47:06 time: 0.5794 data_time: 0.3494 memory: 8322 grad_norm: 4.4009 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.1500 loss: 1.1500 2022/08/01 04:26:28 - mmengine - INFO - Epoch(train) [61][340/940] lr: 1.0000e-03 eta: 6:46:53 time: 0.6854 data_time: 0.2413 memory: 8322 grad_norm: 4.4500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0344 loss: 1.0344 2022/08/01 04:26:39 - mmengine - INFO - Epoch(train) [61][360/940] lr: 1.0000e-03 eta: 6:46:39 time: 0.5824 data_time: 0.0697 memory: 8322 grad_norm: 4.5067 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/08/01 04:26:53 - mmengine - INFO - Epoch(train) [61][380/940] lr: 1.0000e-03 eta: 6:46:26 time: 0.7012 data_time: 0.0340 memory: 8322 grad_norm: 4.4842 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0817 loss: 1.0817 2022/08/01 04:27:04 - mmengine - INFO - Epoch(train) [61][400/940] lr: 1.0000e-03 eta: 6:46:12 time: 0.5561 data_time: 0.0270 memory: 8322 grad_norm: 4.4757 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1473 loss: 1.1473 2022/08/01 04:27:19 - mmengine - INFO - Epoch(train) [61][420/940] lr: 1.0000e-03 eta: 6:46:00 time: 0.7353 data_time: 0.0805 memory: 8322 grad_norm: 4.4788 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0229 loss: 1.0229 2022/08/01 04:27:31 - mmengine - INFO - Epoch(train) [61][440/940] lr: 1.0000e-03 eta: 6:45:46 time: 0.5964 data_time: 0.0434 memory: 8322 grad_norm: 4.5386 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0700 loss: 1.0700 2022/08/01 04:27:45 - mmengine - INFO - Epoch(train) [61][460/940] lr: 1.0000e-03 eta: 6:45:33 time: 0.6829 data_time: 0.0342 memory: 8322 grad_norm: 4.4723 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1700 loss: 1.1700 2022/08/01 04:27:57 - mmengine - INFO - Epoch(train) [61][480/940] lr: 1.0000e-03 eta: 6:45:20 time: 0.5970 data_time: 0.0393 memory: 8322 grad_norm: 4.5517 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0727 loss: 1.0727 2022/08/01 04:28:11 - mmengine - INFO - Epoch(train) [61][500/940] lr: 1.0000e-03 eta: 6:45:07 time: 0.7209 data_time: 0.0476 memory: 8322 grad_norm: 4.5357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1396 loss: 1.1396 2022/08/01 04:28:22 - mmengine - INFO - Epoch(train) [61][520/940] lr: 1.0000e-03 eta: 6:44:53 time: 0.5516 data_time: 0.0299 memory: 8322 grad_norm: 4.5775 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0990 loss: 1.0990 2022/08/01 04:28:38 - mmengine - INFO - Epoch(train) [61][540/940] lr: 1.0000e-03 eta: 6:44:42 time: 0.8111 data_time: 0.0485 memory: 8322 grad_norm: 4.5053 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0824 loss: 1.0824 2022/08/01 04:28:48 - mmengine - INFO - Epoch(train) [61][560/940] lr: 1.0000e-03 eta: 6:44:27 time: 0.5021 data_time: 0.0297 memory: 8322 grad_norm: 4.5732 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2132 loss: 1.2132 2022/08/01 04:29:02 - mmengine - INFO - Epoch(train) [61][580/940] lr: 1.0000e-03 eta: 6:44:14 time: 0.6992 data_time: 0.0363 memory: 8322 grad_norm: 4.5435 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1452 loss: 1.1452 2022/08/01 04:29:14 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:29:14 - mmengine - INFO - Epoch(train) [61][600/940] lr: 1.0000e-03 eta: 6:44:00 time: 0.5790 data_time: 0.0298 memory: 8322 grad_norm: 4.5022 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1347 loss: 1.1347 2022/08/01 04:29:29 - mmengine - INFO - Epoch(train) [61][620/940] lr: 1.0000e-03 eta: 6:43:48 time: 0.7552 data_time: 0.0515 memory: 8322 grad_norm: 4.5190 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0802 loss: 1.0802 2022/08/01 04:29:41 - mmengine - INFO - Epoch(train) [61][640/940] lr: 1.0000e-03 eta: 6:43:35 time: 0.6091 data_time: 0.0322 memory: 8322 grad_norm: 4.4935 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1391 loss: 1.1391 2022/08/01 04:29:56 - mmengine - INFO - Epoch(train) [61][660/940] lr: 1.0000e-03 eta: 6:43:22 time: 0.7239 data_time: 0.0394 memory: 8322 grad_norm: 4.4641 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0344 loss: 1.0344 2022/08/01 04:30:07 - mmengine - INFO - Epoch(train) [61][680/940] lr: 1.0000e-03 eta: 6:43:08 time: 0.5637 data_time: 0.0273 memory: 8322 grad_norm: 4.4693 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0920 loss: 1.0920 2022/08/01 04:30:22 - mmengine - INFO - Epoch(train) [61][700/940] lr: 1.0000e-03 eta: 6:42:56 time: 0.7423 data_time: 0.0336 memory: 8322 grad_norm: 4.4229 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0140 loss: 1.0140 2022/08/01 04:30:32 - mmengine - INFO - Epoch(train) [61][720/940] lr: 1.0000e-03 eta: 6:42:41 time: 0.5221 data_time: 0.0296 memory: 8322 grad_norm: 4.5777 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.2206 loss: 1.2206 2022/08/01 04:30:46 - mmengine - INFO - Epoch(train) [61][740/940] lr: 1.0000e-03 eta: 6:42:29 time: 0.7015 data_time: 0.0365 memory: 8322 grad_norm: 4.4866 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2368 loss: 1.2368 2022/08/01 04:30:57 - mmengine - INFO - Epoch(train) [61][760/940] lr: 1.0000e-03 eta: 6:42:14 time: 0.5415 data_time: 0.0374 memory: 8322 grad_norm: 4.4587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9677 loss: 0.9677 2022/08/01 04:31:13 - mmengine - INFO - Epoch(train) [61][780/940] lr: 1.0000e-03 eta: 6:42:03 time: 0.7752 data_time: 0.0534 memory: 8322 grad_norm: 4.5323 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2183 loss: 1.2183 2022/08/01 04:31:23 - mmengine - INFO - Epoch(train) [61][800/940] lr: 1.0000e-03 eta: 6:41:48 time: 0.5155 data_time: 0.0379 memory: 8322 grad_norm: 4.5082 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0423 loss: 1.0423 2022/08/01 04:31:38 - mmengine - INFO - Epoch(train) [61][820/940] lr: 1.0000e-03 eta: 6:41:36 time: 0.7720 data_time: 0.0323 memory: 8322 grad_norm: 4.5465 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1350 loss: 1.1350 2022/08/01 04:31:49 - mmengine - INFO - Epoch(train) [61][840/940] lr: 1.0000e-03 eta: 6:41:21 time: 0.5169 data_time: 0.0561 memory: 8322 grad_norm: 4.4238 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1199 loss: 1.1199 2022/08/01 04:32:03 - mmengine - INFO - Epoch(train) [61][860/940] lr: 1.0000e-03 eta: 6:41:09 time: 0.6906 data_time: 0.0296 memory: 8322 grad_norm: 4.5412 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1811 loss: 1.1811 2022/08/01 04:32:14 - mmengine - INFO - Epoch(train) [61][880/940] lr: 1.0000e-03 eta: 6:40:54 time: 0.5594 data_time: 0.0368 memory: 8322 grad_norm: 4.5419 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0879 loss: 1.0879 2022/08/01 04:32:29 - mmengine - INFO - Epoch(train) [61][900/940] lr: 1.0000e-03 eta: 6:40:43 time: 0.7625 data_time: 0.0486 memory: 8322 grad_norm: 4.5561 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.1043 loss: 1.1043 2022/08/01 04:32:40 - mmengine - INFO - Epoch(train) [61][920/940] lr: 1.0000e-03 eta: 6:40:28 time: 0.5416 data_time: 0.0381 memory: 8322 grad_norm: 4.4932 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0666 loss: 1.0666 2022/08/01 04:32:52 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:32:52 - mmengine - INFO - Epoch(train) [61][940/940] lr: 1.0000e-03 eta: 6:40:14 time: 0.5971 data_time: 0.0244 memory: 8322 grad_norm: 4.7828 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1515 loss: 1.1515 2022/08/01 04:33:05 - mmengine - INFO - Epoch(val) [61][20/78] eta: 0:00:38 time: 0.6667 data_time: 0.5990 memory: 1463 2022/08/01 04:33:14 - mmengine - INFO - Epoch(val) [61][40/78] eta: 0:00:16 time: 0.4403 data_time: 0.3787 memory: 1463 2022/08/01 04:33:27 - mmengine - INFO - Epoch(val) [61][60/78] eta: 0:00:11 time: 0.6498 data_time: 0.5849 memory: 1463 2022/08/01 04:33:37 - mmengine - INFO - Epoch(val) [61][78/78] acc/top1: 0.6918 acc/top5: 0.8835 acc/mean1: 0.6916 2022/08/01 04:33:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_53.pth is removed 2022/08/01 04:33:38 - mmengine - INFO - The best checkpoint with 0.6918 acc/top1 at 62 epoch is saved to best_acc/top1_epoch_62.pth. 2022/08/01 04:33:55 - mmengine - INFO - Epoch(train) [62][20/940] lr: 1.0000e-03 eta: 6:40:03 time: 0.8370 data_time: 0.6305 memory: 8322 grad_norm: 4.4435 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9986 loss: 0.9986 2022/08/01 04:34:07 - mmengine - INFO - Epoch(train) [62][40/940] lr: 1.0000e-03 eta: 6:39:49 time: 0.5756 data_time: 0.3795 memory: 8322 grad_norm: 4.4488 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1408 loss: 1.1408 2022/08/01 04:34:20 - mmengine - INFO - Epoch(train) [62][60/940] lr: 1.0000e-03 eta: 6:39:36 time: 0.6855 data_time: 0.3171 memory: 8322 grad_norm: 4.4737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1253 loss: 1.1253 2022/08/01 04:34:32 - mmengine - INFO - Epoch(train) [62][80/940] lr: 1.0000e-03 eta: 6:39:22 time: 0.5576 data_time: 0.1908 memory: 8322 grad_norm: 4.4688 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0056 loss: 1.0056 2022/08/01 04:34:47 - mmengine - INFO - Epoch(train) [62][100/940] lr: 1.0000e-03 eta: 6:39:10 time: 0.7507 data_time: 0.2247 memory: 8322 grad_norm: 4.4975 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0662 loss: 1.0662 2022/08/01 04:34:58 - mmengine - INFO - Epoch(train) [62][120/940] lr: 1.0000e-03 eta: 6:38:56 time: 0.5504 data_time: 0.1212 memory: 8322 grad_norm: 4.5393 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1729 loss: 1.1729 2022/08/01 04:35:12 - mmengine - INFO - Epoch(train) [62][140/940] lr: 1.0000e-03 eta: 6:38:43 time: 0.7105 data_time: 0.1764 memory: 8322 grad_norm: 4.4981 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1140 loss: 1.1140 2022/08/01 04:35:24 - mmengine - INFO - Epoch(train) [62][160/940] lr: 1.0000e-03 eta: 6:38:30 time: 0.5905 data_time: 0.2432 memory: 8322 grad_norm: 4.4921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1096 loss: 1.1096 2022/08/01 04:35:39 - mmengine - INFO - Epoch(train) [62][180/940] lr: 1.0000e-03 eta: 6:38:18 time: 0.7577 data_time: 0.4395 memory: 8322 grad_norm: 4.4722 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0898 loss: 1.0898 2022/08/01 04:35:49 - mmengine - INFO - Epoch(train) [62][200/940] lr: 1.0000e-03 eta: 6:38:03 time: 0.4908 data_time: 0.2346 memory: 8322 grad_norm: 4.5307 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0479 loss: 1.0479 2022/08/01 04:36:03 - mmengine - INFO - Epoch(train) [62][220/940] lr: 1.0000e-03 eta: 6:37:50 time: 0.7374 data_time: 0.3442 memory: 8322 grad_norm: 4.4508 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1578 loss: 1.1578 2022/08/01 04:36:15 - mmengine - INFO - Epoch(train) [62][240/940] lr: 1.0000e-03 eta: 6:37:36 time: 0.5855 data_time: 0.1903 memory: 8322 grad_norm: 4.4802 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0164 loss: 1.0164 2022/08/01 04:36:29 - mmengine - INFO - Epoch(train) [62][260/940] lr: 1.0000e-03 eta: 6:37:24 time: 0.7192 data_time: 0.1426 memory: 8322 grad_norm: 4.4674 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1651 loss: 1.1651 2022/08/01 04:36:41 - mmengine - INFO - Epoch(train) [62][280/940] lr: 1.0000e-03 eta: 6:37:10 time: 0.5910 data_time: 0.0696 memory: 8322 grad_norm: 4.5904 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0720 loss: 1.0720 2022/08/01 04:36:55 - mmengine - INFO - Epoch(train) [62][300/940] lr: 1.0000e-03 eta: 6:36:57 time: 0.6747 data_time: 0.0976 memory: 8322 grad_norm: 4.6324 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1940 loss: 1.1940 2022/08/01 04:37:06 - mmengine - INFO - Epoch(train) [62][320/940] lr: 1.0000e-03 eta: 6:36:43 time: 0.5849 data_time: 0.0945 memory: 8322 grad_norm: 4.4647 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.1647 loss: 1.1647 2022/08/01 04:37:21 - mmengine - INFO - Epoch(train) [62][340/940] lr: 1.0000e-03 eta: 6:36:31 time: 0.7033 data_time: 0.0896 memory: 8322 grad_norm: 4.4398 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1524 loss: 1.1524 2022/08/01 04:37:32 - mmengine - INFO - Epoch(train) [62][360/940] lr: 1.0000e-03 eta: 6:36:17 time: 0.5917 data_time: 0.1462 memory: 8322 grad_norm: 4.5465 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0535 loss: 1.0535 2022/08/01 04:37:47 - mmengine - INFO - Epoch(train) [62][380/940] lr: 1.0000e-03 eta: 6:36:05 time: 0.7101 data_time: 0.1959 memory: 8322 grad_norm: 4.5214 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2567 loss: 1.2567 2022/08/01 04:37:58 - mmengine - INFO - Epoch(train) [62][400/940] lr: 1.0000e-03 eta: 6:35:51 time: 0.5772 data_time: 0.1459 memory: 8322 grad_norm: 4.5394 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1324 loss: 1.1324 2022/08/01 04:38:12 - mmengine - INFO - Epoch(train) [62][420/940] lr: 1.0000e-03 eta: 6:35:38 time: 0.6950 data_time: 0.1637 memory: 8322 grad_norm: 4.4664 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0290 loss: 1.0290 2022/08/01 04:38:23 - mmengine - INFO - Epoch(train) [62][440/940] lr: 1.0000e-03 eta: 6:35:24 time: 0.5615 data_time: 0.1246 memory: 8322 grad_norm: 4.5416 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.0696 loss: 1.0696 2022/08/01 04:38:37 - mmengine - INFO - Epoch(train) [62][460/940] lr: 1.0000e-03 eta: 6:35:11 time: 0.6955 data_time: 0.0905 memory: 8322 grad_norm: 4.4354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1175 loss: 1.1175 2022/08/01 04:38:48 - mmengine - INFO - Epoch(train) [62][480/940] lr: 1.0000e-03 eta: 6:34:57 time: 0.5589 data_time: 0.0497 memory: 8322 grad_norm: 4.5416 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9352 loss: 0.9352 2022/08/01 04:39:03 - mmengine - INFO - Epoch(train) [62][500/940] lr: 1.0000e-03 eta: 6:34:45 time: 0.7440 data_time: 0.1271 memory: 8322 grad_norm: 4.5195 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0590 loss: 1.0590 2022/08/01 04:39:14 - mmengine - INFO - Epoch(train) [62][520/940] lr: 1.0000e-03 eta: 6:34:30 time: 0.5516 data_time: 0.1045 memory: 8322 grad_norm: 4.4694 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1577 loss: 1.1577 2022/08/01 04:39:29 - mmengine - INFO - Epoch(train) [62][540/940] lr: 1.0000e-03 eta: 6:34:18 time: 0.7367 data_time: 0.1202 memory: 8322 grad_norm: 4.5562 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0562 loss: 1.0562 2022/08/01 04:39:40 - mmengine - INFO - Epoch(train) [62][560/940] lr: 1.0000e-03 eta: 6:34:04 time: 0.5647 data_time: 0.1887 memory: 8322 grad_norm: 4.4378 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1445 loss: 1.1445 2022/08/01 04:39:55 - mmengine - INFO - Epoch(train) [62][580/940] lr: 1.0000e-03 eta: 6:33:52 time: 0.7360 data_time: 0.2885 memory: 8322 grad_norm: 4.4756 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0726 loss: 1.0726 2022/08/01 04:40:07 - mmengine - INFO - Epoch(train) [62][600/940] lr: 1.0000e-03 eta: 6:33:38 time: 0.5759 data_time: 0.1739 memory: 8322 grad_norm: 4.4596 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0025 loss: 1.0025 2022/08/01 04:40:21 - mmengine - INFO - Epoch(train) [62][620/940] lr: 1.0000e-03 eta: 6:33:26 time: 0.7380 data_time: 0.3356 memory: 8322 grad_norm: 4.5008 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1378 loss: 1.1378 2022/08/01 04:40:32 - mmengine - INFO - Epoch(train) [62][640/940] lr: 1.0000e-03 eta: 6:33:12 time: 0.5537 data_time: 0.2193 memory: 8322 grad_norm: 4.6045 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0809 loss: 1.0809 2022/08/01 04:40:46 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:40:47 - mmengine - INFO - Epoch(train) [62][660/940] lr: 1.0000e-03 eta: 6:32:59 time: 0.7029 data_time: 0.3322 memory: 8322 grad_norm: 4.6025 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1404 loss: 1.1404 2022/08/01 04:40:58 - mmengine - INFO - Epoch(train) [62][680/940] lr: 1.0000e-03 eta: 6:32:45 time: 0.5839 data_time: 0.2688 memory: 8322 grad_norm: 4.5711 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0649 loss: 1.0649 2022/08/01 04:41:13 - mmengine - INFO - Epoch(train) [62][700/940] lr: 1.0000e-03 eta: 6:32:33 time: 0.7367 data_time: 0.4314 memory: 8322 grad_norm: 4.4259 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0495 loss: 1.0495 2022/08/01 04:41:24 - mmengine - INFO - Epoch(train) [62][720/940] lr: 1.0000e-03 eta: 6:32:19 time: 0.5773 data_time: 0.3364 memory: 8322 grad_norm: 4.5786 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1102 loss: 1.1102 2022/08/01 04:41:39 - mmengine - INFO - Epoch(train) [62][740/940] lr: 1.0000e-03 eta: 6:32:07 time: 0.7230 data_time: 0.4495 memory: 8322 grad_norm: 4.5872 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1704 loss: 1.1704 2022/08/01 04:41:50 - mmengine - INFO - Epoch(train) [62][760/940] lr: 1.0000e-03 eta: 6:31:52 time: 0.5702 data_time: 0.2940 memory: 8322 grad_norm: 4.5063 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1299 loss: 1.1299 2022/08/01 04:42:04 - mmengine - INFO - Epoch(train) [62][780/940] lr: 1.0000e-03 eta: 6:31:40 time: 0.7041 data_time: 0.4489 memory: 8322 grad_norm: 4.5299 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1542 loss: 1.1542 2022/08/01 04:42:15 - mmengine - INFO - Epoch(train) [62][800/940] lr: 1.0000e-03 eta: 6:31:26 time: 0.5433 data_time: 0.2977 memory: 8322 grad_norm: 4.6306 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1580 loss: 1.1580 2022/08/01 04:42:30 - mmengine - INFO - Epoch(train) [62][820/940] lr: 1.0000e-03 eta: 6:31:13 time: 0.7133 data_time: 0.4073 memory: 8322 grad_norm: 4.5107 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0415 loss: 1.0415 2022/08/01 04:42:41 - mmengine - INFO - Epoch(train) [62][840/940] lr: 1.0000e-03 eta: 6:30:59 time: 0.5835 data_time: 0.3240 memory: 8322 grad_norm: 4.6498 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1229 loss: 1.1229 2022/08/01 04:42:56 - mmengine - INFO - Epoch(train) [62][860/940] lr: 1.0000e-03 eta: 6:30:47 time: 0.7335 data_time: 0.4997 memory: 8322 grad_norm: 4.6545 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0971 loss: 1.0971 2022/08/01 04:43:06 - mmengine - INFO - Epoch(train) [62][880/940] lr: 1.0000e-03 eta: 6:30:32 time: 0.5204 data_time: 0.2576 memory: 8322 grad_norm: 4.4938 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1514 loss: 1.1514 2022/08/01 04:43:21 - mmengine - INFO - Epoch(train) [62][900/940] lr: 1.0000e-03 eta: 6:30:20 time: 0.7106 data_time: 0.3154 memory: 8322 grad_norm: 4.6288 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0936 loss: 1.0936 2022/08/01 04:43:32 - mmengine - INFO - Epoch(train) [62][920/940] lr: 1.0000e-03 eta: 6:30:06 time: 0.5943 data_time: 0.2352 memory: 8322 grad_norm: 4.5035 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0815 loss: 1.0815 2022/08/01 04:43:44 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:43:44 - mmengine - INFO - Epoch(train) [62][940/940] lr: 1.0000e-03 eta: 6:29:52 time: 0.5620 data_time: 0.2676 memory: 8322 grad_norm: 4.9092 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1212 loss: 1.1212 2022/08/01 04:43:58 - mmengine - INFO - Epoch(val) [62][20/78] eta: 0:00:41 time: 0.7142 data_time: 0.6453 memory: 1463 2022/08/01 04:44:06 - mmengine - INFO - Epoch(val) [62][40/78] eta: 0:00:15 time: 0.4127 data_time: 0.3484 memory: 1463 2022/08/01 04:44:20 - mmengine - INFO - Epoch(val) [62][60/78] eta: 0:00:11 time: 0.6588 data_time: 0.5933 memory: 1463 2022/08/01 04:44:29 - mmengine - INFO - Epoch(val) [62][78/78] acc/top1: 0.6904 acc/top5: 0.8834 acc/mean1: 0.6903 2022/08/01 04:44:47 - mmengine - INFO - Epoch(train) [63][20/940] lr: 1.0000e-03 eta: 6:29:41 time: 0.8591 data_time: 0.4554 memory: 8322 grad_norm: 4.4200 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1020 loss: 1.1020 2022/08/01 04:44:58 - mmengine - INFO - Epoch(train) [63][40/940] lr: 1.0000e-03 eta: 6:29:27 time: 0.5804 data_time: 0.1491 memory: 8322 grad_norm: 4.4865 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0720 loss: 1.0720 2022/08/01 04:45:12 - mmengine - INFO - Epoch(train) [63][60/940] lr: 1.0000e-03 eta: 6:29:15 time: 0.6926 data_time: 0.2103 memory: 8322 grad_norm: 4.5066 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0903 loss: 1.0903 2022/08/01 04:45:23 - mmengine - INFO - Epoch(train) [63][80/940] lr: 1.0000e-03 eta: 6:29:00 time: 0.5510 data_time: 0.1263 memory: 8322 grad_norm: 4.5371 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0526 loss: 1.0526 2022/08/01 04:45:39 - mmengine - INFO - Epoch(train) [63][100/940] lr: 1.0000e-03 eta: 6:28:49 time: 0.7822 data_time: 0.1519 memory: 8322 grad_norm: 4.4652 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1883 loss: 1.1883 2022/08/01 04:45:50 - mmengine - INFO - Epoch(train) [63][120/940] lr: 1.0000e-03 eta: 6:28:34 time: 0.5531 data_time: 0.0257 memory: 8322 grad_norm: 4.5568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1499 loss: 1.1499 2022/08/01 04:46:04 - mmengine - INFO - Epoch(train) [63][140/940] lr: 1.0000e-03 eta: 6:28:22 time: 0.7184 data_time: 0.0333 memory: 8322 grad_norm: 4.5369 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0805 loss: 1.0805 2022/08/01 04:46:16 - mmengine - INFO - Epoch(train) [63][160/940] lr: 1.0000e-03 eta: 6:28:08 time: 0.5818 data_time: 0.0335 memory: 8322 grad_norm: 4.6226 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.1228 loss: 1.1228 2022/08/01 04:46:31 - mmengine - INFO - Epoch(train) [63][180/940] lr: 1.0000e-03 eta: 6:27:56 time: 0.7375 data_time: 0.0388 memory: 8322 grad_norm: 4.4931 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0332 loss: 1.0332 2022/08/01 04:46:41 - mmengine - INFO - Epoch(train) [63][200/940] lr: 1.0000e-03 eta: 6:27:41 time: 0.5192 data_time: 0.0340 memory: 8322 grad_norm: 4.4941 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1486 loss: 1.1486 2022/08/01 04:46:56 - mmengine - INFO - Epoch(train) [63][220/940] lr: 1.0000e-03 eta: 6:27:29 time: 0.7371 data_time: 0.0623 memory: 8322 grad_norm: 4.5442 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0539 loss: 1.0539 2022/08/01 04:47:07 - mmengine - INFO - Epoch(train) [63][240/940] lr: 1.0000e-03 eta: 6:27:15 time: 0.5410 data_time: 0.0287 memory: 8322 grad_norm: 4.4885 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0592 loss: 1.0592 2022/08/01 04:47:21 - mmengine - INFO - Epoch(train) [63][260/940] lr: 1.0000e-03 eta: 6:27:02 time: 0.7311 data_time: 0.0379 memory: 8322 grad_norm: 4.4788 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1166 loss: 1.1166 2022/08/01 04:47:32 - mmengine - INFO - Epoch(train) [63][280/940] lr: 1.0000e-03 eta: 6:26:48 time: 0.5448 data_time: 0.0327 memory: 8322 grad_norm: 4.5038 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0853 loss: 1.0853 2022/08/01 04:47:46 - mmengine - INFO - Epoch(train) [63][300/940] lr: 1.0000e-03 eta: 6:26:35 time: 0.6806 data_time: 0.0405 memory: 8322 grad_norm: 4.5742 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1320 loss: 1.1320 2022/08/01 04:47:59 - mmengine - INFO - Epoch(train) [63][320/940] lr: 1.0000e-03 eta: 6:26:22 time: 0.6387 data_time: 0.0238 memory: 8322 grad_norm: 4.4633 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1192 loss: 1.1192 2022/08/01 04:48:13 - mmengine - INFO - Epoch(train) [63][340/940] lr: 1.0000e-03 eta: 6:26:09 time: 0.7074 data_time: 0.0313 memory: 8322 grad_norm: 4.6088 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1119 loss: 1.1119 2022/08/01 04:48:24 - mmengine - INFO - Epoch(train) [63][360/940] lr: 1.0000e-03 eta: 6:25:55 time: 0.5563 data_time: 0.0313 memory: 8322 grad_norm: 4.5275 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1034 loss: 1.1034 2022/08/01 04:48:38 - mmengine - INFO - Epoch(train) [63][380/940] lr: 1.0000e-03 eta: 6:25:43 time: 0.7210 data_time: 0.0321 memory: 8322 grad_norm: 4.5643 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0929 loss: 1.0929 2022/08/01 04:48:50 - mmengine - INFO - Epoch(train) [63][400/940] lr: 1.0000e-03 eta: 6:25:29 time: 0.5849 data_time: 0.0385 memory: 8322 grad_norm: 4.5836 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1670 loss: 1.1670 2022/08/01 04:49:04 - mmengine - INFO - Epoch(train) [63][420/940] lr: 1.0000e-03 eta: 6:25:16 time: 0.7147 data_time: 0.0293 memory: 8322 grad_norm: 4.5467 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2036 loss: 1.2036 2022/08/01 04:49:16 - mmengine - INFO - Epoch(train) [63][440/940] lr: 1.0000e-03 eta: 6:25:03 time: 0.5851 data_time: 0.0328 memory: 8322 grad_norm: 4.5602 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1889 loss: 1.1889 2022/08/01 04:49:31 - mmengine - INFO - Epoch(train) [63][460/940] lr: 1.0000e-03 eta: 6:24:51 time: 0.7447 data_time: 0.0296 memory: 8322 grad_norm: 4.5423 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0349 loss: 1.0349 2022/08/01 04:49:42 - mmengine - INFO - Epoch(train) [63][480/940] lr: 1.0000e-03 eta: 6:24:36 time: 0.5434 data_time: 0.0342 memory: 8322 grad_norm: 4.6221 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0917 loss: 1.0917 2022/08/01 04:49:56 - mmengine - INFO - Epoch(train) [63][500/940] lr: 1.0000e-03 eta: 6:24:24 time: 0.7235 data_time: 0.0357 memory: 8322 grad_norm: 4.4921 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.0503 loss: 1.0503 2022/08/01 04:50:08 - mmengine - INFO - Epoch(train) [63][520/940] lr: 1.0000e-03 eta: 6:24:10 time: 0.5798 data_time: 0.0450 memory: 8322 grad_norm: 4.4367 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.1199 loss: 1.1199 2022/08/01 04:50:22 - mmengine - INFO - Epoch(train) [63][540/940] lr: 1.0000e-03 eta: 6:23:58 time: 0.7272 data_time: 0.0312 memory: 8322 grad_norm: 4.5743 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1155 loss: 1.1155 2022/08/01 04:50:33 - mmengine - INFO - Epoch(train) [63][560/940] lr: 1.0000e-03 eta: 6:23:43 time: 0.5073 data_time: 0.0397 memory: 8322 grad_norm: 4.6113 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0830 loss: 1.0830 2022/08/01 04:50:47 - mmengine - INFO - Epoch(train) [63][580/940] lr: 1.0000e-03 eta: 6:23:31 time: 0.7336 data_time: 0.0329 memory: 8322 grad_norm: 4.4925 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2151 loss: 1.2151 2022/08/01 04:51:00 - mmengine - INFO - Epoch(train) [63][600/940] lr: 1.0000e-03 eta: 6:23:17 time: 0.6225 data_time: 0.0380 memory: 8322 grad_norm: 4.5425 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.0554 loss: 1.0554 2022/08/01 04:51:14 - mmengine - INFO - Epoch(train) [63][620/940] lr: 1.0000e-03 eta: 6:23:05 time: 0.7080 data_time: 0.0360 memory: 8322 grad_norm: 4.4767 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1229 loss: 1.1229 2022/08/01 04:51:25 - mmengine - INFO - Epoch(train) [63][640/940] lr: 1.0000e-03 eta: 6:22:50 time: 0.5534 data_time: 0.0367 memory: 8322 grad_norm: 4.5968 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1308 loss: 1.1308 2022/08/01 04:51:40 - mmengine - INFO - Epoch(train) [63][660/940] lr: 1.0000e-03 eta: 6:22:38 time: 0.7338 data_time: 0.0331 memory: 8322 grad_norm: 4.5585 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0686 loss: 1.0686 2022/08/01 04:51:52 - mmengine - INFO - Epoch(train) [63][680/940] lr: 1.0000e-03 eta: 6:22:24 time: 0.6029 data_time: 0.0320 memory: 8322 grad_norm: 4.5493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0392 loss: 1.0392 2022/08/01 04:52:06 - mmengine - INFO - Epoch(train) [63][700/940] lr: 1.0000e-03 eta: 6:22:12 time: 0.7022 data_time: 0.0369 memory: 8322 grad_norm: 4.5560 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0586 loss: 1.0586 2022/08/01 04:52:18 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:52:18 - mmengine - INFO - Epoch(train) [63][720/940] lr: 1.0000e-03 eta: 6:21:58 time: 0.5899 data_time: 0.0302 memory: 8322 grad_norm: 4.5761 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1635 loss: 1.1635 2022/08/01 04:52:30 - mmengine - INFO - Epoch(train) [63][740/940] lr: 1.0000e-03 eta: 6:21:45 time: 0.6339 data_time: 0.0432 memory: 8322 grad_norm: 4.5521 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1063 loss: 1.1063 2022/08/01 04:52:44 - mmengine - INFO - Epoch(train) [63][760/940] lr: 1.0000e-03 eta: 6:21:32 time: 0.6756 data_time: 0.0309 memory: 8322 grad_norm: 4.4504 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0689 loss: 1.0689 2022/08/01 04:52:55 - mmengine - INFO - Epoch(train) [63][780/940] lr: 1.0000e-03 eta: 6:21:18 time: 0.5758 data_time: 0.0433 memory: 8322 grad_norm: 4.5909 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0858 loss: 1.0858 2022/08/01 04:53:09 - mmengine - INFO - Epoch(train) [63][800/940] lr: 1.0000e-03 eta: 6:21:05 time: 0.6748 data_time: 0.0363 memory: 8322 grad_norm: 4.6386 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0016 loss: 1.0016 2022/08/01 04:53:21 - mmengine - INFO - Epoch(train) [63][820/940] lr: 1.0000e-03 eta: 6:20:52 time: 0.6304 data_time: 0.0391 memory: 8322 grad_norm: 4.5341 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0093 loss: 1.0093 2022/08/01 04:53:34 - mmengine - INFO - Epoch(train) [63][840/940] lr: 1.0000e-03 eta: 6:20:38 time: 0.6199 data_time: 0.0398 memory: 8322 grad_norm: 4.6218 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1801 loss: 1.1801 2022/08/01 04:53:47 - mmengine - INFO - Epoch(train) [63][860/940] lr: 1.0000e-03 eta: 6:20:25 time: 0.6657 data_time: 0.0594 memory: 8322 grad_norm: 4.7379 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/08/01 04:54:00 - mmengine - INFO - Epoch(train) [63][880/940] lr: 1.0000e-03 eta: 6:20:12 time: 0.6631 data_time: 0.0317 memory: 8322 grad_norm: 4.5717 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1527 loss: 1.1527 2022/08/01 04:54:12 - mmengine - INFO - Epoch(train) [63][900/940] lr: 1.0000e-03 eta: 6:19:58 time: 0.5826 data_time: 0.0557 memory: 8322 grad_norm: 4.5766 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1820 loss: 1.1820 2022/08/01 04:54:27 - mmengine - INFO - Epoch(train) [63][920/940] lr: 1.0000e-03 eta: 6:19:46 time: 0.7377 data_time: 0.0356 memory: 8322 grad_norm: 4.5235 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1090 loss: 1.1090 2022/08/01 04:54:37 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 04:54:37 - mmengine - INFO - Epoch(train) [63][940/940] lr: 1.0000e-03 eta: 6:19:31 time: 0.4936 data_time: 0.0295 memory: 8322 grad_norm: 4.8554 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.1579 loss: 1.1579 2022/08/01 04:54:37 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/08/01 04:54:53 - mmengine - INFO - Epoch(val) [63][20/78] eta: 0:00:40 time: 0.6930 data_time: 0.6325 memory: 1463 2022/08/01 04:55:01 - mmengine - INFO - Epoch(val) [63][40/78] eta: 0:00:16 time: 0.4281 data_time: 0.3668 memory: 1463 2022/08/01 04:55:14 - mmengine - INFO - Epoch(val) [63][60/78] eta: 0:00:11 time: 0.6349 data_time: 0.5732 memory: 1463 2022/08/01 04:55:24 - mmengine - INFO - Epoch(val) [63][78/78] acc/top1: 0.6897 acc/top5: 0.8834 acc/mean1: 0.6896 2022/08/01 04:55:42 - mmengine - INFO - Epoch(train) [64][20/940] lr: 1.0000e-03 eta: 6:19:21 time: 0.8781 data_time: 0.4210 memory: 8322 grad_norm: 4.5912 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2916 loss: 1.2916 2022/08/01 04:55:52 - mmengine - INFO - Epoch(train) [64][40/940] lr: 1.0000e-03 eta: 6:19:06 time: 0.5187 data_time: 0.1649 memory: 8322 grad_norm: 4.4473 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0872 loss: 1.0872 2022/08/01 04:56:07 - mmengine - INFO - Epoch(train) [64][60/940] lr: 1.0000e-03 eta: 6:18:54 time: 0.7148 data_time: 0.2746 memory: 8322 grad_norm: 4.5713 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1157 loss: 1.1157 2022/08/01 04:56:20 - mmengine - INFO - Epoch(train) [64][80/940] lr: 1.0000e-03 eta: 6:18:41 time: 0.6775 data_time: 0.1571 memory: 8322 grad_norm: 4.5401 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1090 loss: 1.1090 2022/08/01 04:56:34 - mmengine - INFO - Epoch(train) [64][100/940] lr: 1.0000e-03 eta: 6:18:28 time: 0.7021 data_time: 0.0345 memory: 8322 grad_norm: 4.5257 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1754 loss: 1.1754 2022/08/01 04:56:46 - mmengine - INFO - Epoch(train) [64][120/940] lr: 1.0000e-03 eta: 6:18:14 time: 0.5728 data_time: 0.0395 memory: 8322 grad_norm: 4.6082 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0928 loss: 1.0928 2022/08/01 04:57:00 - mmengine - INFO - Epoch(train) [64][140/940] lr: 1.0000e-03 eta: 6:18:02 time: 0.7312 data_time: 0.0394 memory: 8322 grad_norm: 4.5183 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2217 loss: 1.2217 2022/08/01 04:57:12 - mmengine - INFO - Epoch(train) [64][160/940] lr: 1.0000e-03 eta: 6:17:48 time: 0.5916 data_time: 0.0446 memory: 8322 grad_norm: 4.6098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1214 loss: 1.1214 2022/08/01 04:57:25 - mmengine - INFO - Epoch(train) [64][180/940] lr: 1.0000e-03 eta: 6:17:35 time: 0.6722 data_time: 0.0355 memory: 8322 grad_norm: 4.5906 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0954 loss: 1.0954 2022/08/01 04:57:37 - mmengine - INFO - Epoch(train) [64][200/940] lr: 1.0000e-03 eta: 6:17:21 time: 0.5778 data_time: 0.0355 memory: 8322 grad_norm: 4.5717 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1458 loss: 1.1458 2022/08/01 04:57:53 - mmengine - INFO - Epoch(train) [64][220/940] lr: 1.0000e-03 eta: 6:17:10 time: 0.8082 data_time: 0.0294 memory: 8322 grad_norm: 4.5331 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1532 loss: 1.1532 2022/08/01 04:58:03 - mmengine - INFO - Epoch(train) [64][240/940] lr: 1.0000e-03 eta: 6:16:55 time: 0.4868 data_time: 0.0363 memory: 8322 grad_norm: 4.6286 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2349 loss: 1.2349 2022/08/01 04:58:18 - mmengine - INFO - Epoch(train) [64][260/940] lr: 1.0000e-03 eta: 6:16:43 time: 0.7609 data_time: 0.0332 memory: 8322 grad_norm: 4.6090 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0909 loss: 1.0909 2022/08/01 04:58:29 - mmengine - INFO - Epoch(train) [64][280/940] lr: 1.0000e-03 eta: 6:16:29 time: 0.5551 data_time: 0.0328 memory: 8322 grad_norm: 4.6173 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1080 loss: 1.1080 2022/08/01 04:58:44 - mmengine - INFO - Epoch(train) [64][300/940] lr: 1.0000e-03 eta: 6:16:17 time: 0.7453 data_time: 0.0277 memory: 8322 grad_norm: 4.6409 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1254 loss: 1.1254 2022/08/01 04:58:55 - mmengine - INFO - Epoch(train) [64][320/940] lr: 1.0000e-03 eta: 6:16:02 time: 0.5488 data_time: 0.0351 memory: 8322 grad_norm: 4.5036 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1267 loss: 1.1267 2022/08/01 04:59:09 - mmengine - INFO - Epoch(train) [64][340/940] lr: 1.0000e-03 eta: 6:15:50 time: 0.6969 data_time: 0.0293 memory: 8322 grad_norm: 4.6588 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1986 loss: 1.1986 2022/08/01 04:59:20 - mmengine - INFO - Epoch(train) [64][360/940] lr: 1.0000e-03 eta: 6:15:35 time: 0.5230 data_time: 0.0369 memory: 8322 grad_norm: 4.5377 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0608 loss: 1.0608 2022/08/01 04:59:34 - mmengine - INFO - Epoch(train) [64][380/940] lr: 1.0000e-03 eta: 6:15:23 time: 0.7171 data_time: 0.0306 memory: 8322 grad_norm: 4.5373 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0786 loss: 1.0786 2022/08/01 04:59:45 - mmengine - INFO - Epoch(train) [64][400/940] lr: 1.0000e-03 eta: 6:15:08 time: 0.5559 data_time: 0.0360 memory: 8322 grad_norm: 4.5376 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1130 loss: 1.1130 2022/08/01 05:00:00 - mmengine - INFO - Epoch(train) [64][420/940] lr: 1.0000e-03 eta: 6:14:56 time: 0.7279 data_time: 0.0362 memory: 8322 grad_norm: 4.5066 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0599 loss: 1.0599 2022/08/01 05:00:12 - mmengine - INFO - Epoch(train) [64][440/940] lr: 1.0000e-03 eta: 6:14:43 time: 0.6371 data_time: 0.0371 memory: 8322 grad_norm: 4.5506 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0973 loss: 1.0973 2022/08/01 05:00:25 - mmengine - INFO - Epoch(train) [64][460/940] lr: 1.0000e-03 eta: 6:14:30 time: 0.6516 data_time: 0.0370 memory: 8322 grad_norm: 4.5090 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/08/01 05:00:38 - mmengine - INFO - Epoch(train) [64][480/940] lr: 1.0000e-03 eta: 6:14:16 time: 0.6167 data_time: 0.0372 memory: 8322 grad_norm: 4.5867 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0617 loss: 1.0617 2022/08/01 05:00:51 - mmengine - INFO - Epoch(train) [64][500/940] lr: 1.0000e-03 eta: 6:14:03 time: 0.6487 data_time: 0.0291 memory: 8322 grad_norm: 4.5880 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0729 loss: 1.0729 2022/08/01 05:01:03 - mmengine - INFO - Epoch(train) [64][520/940] lr: 1.0000e-03 eta: 6:13:50 time: 0.6167 data_time: 0.0439 memory: 8322 grad_norm: 4.6062 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1464 loss: 1.1464 2022/08/01 05:01:17 - mmengine - INFO - Epoch(train) [64][540/940] lr: 1.0000e-03 eta: 6:13:37 time: 0.6739 data_time: 0.0331 memory: 8322 grad_norm: 4.4660 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0896 loss: 1.0896 2022/08/01 05:01:29 - mmengine - INFO - Epoch(train) [64][560/940] lr: 1.0000e-03 eta: 6:13:23 time: 0.6345 data_time: 0.0450 memory: 8322 grad_norm: 4.4655 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0214 loss: 1.0214 2022/08/01 05:01:42 - mmengine - INFO - Epoch(train) [64][580/940] lr: 1.0000e-03 eta: 6:13:10 time: 0.6500 data_time: 0.0368 memory: 8322 grad_norm: 4.5395 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1459 loss: 1.1459 2022/08/01 05:01:56 - mmengine - INFO - Epoch(train) [64][600/940] lr: 1.0000e-03 eta: 6:12:57 time: 0.6717 data_time: 0.0410 memory: 8322 grad_norm: 4.5442 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1731 loss: 1.1731 2022/08/01 05:02:08 - mmengine - INFO - Epoch(train) [64][620/940] lr: 1.0000e-03 eta: 6:12:44 time: 0.6279 data_time: 0.0343 memory: 8322 grad_norm: 4.6121 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9977 loss: 0.9977 2022/08/01 05:02:20 - mmengine - INFO - Epoch(train) [64][640/940] lr: 1.0000e-03 eta: 6:12:30 time: 0.6086 data_time: 0.0350 memory: 8322 grad_norm: 4.6583 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1088 loss: 1.1088 2022/08/01 05:02:35 - mmengine - INFO - Epoch(train) [64][660/940] lr: 1.0000e-03 eta: 6:12:18 time: 0.7167 data_time: 0.0392 memory: 8322 grad_norm: 4.6362 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0952 loss: 1.0952 2022/08/01 05:02:46 - mmengine - INFO - Epoch(train) [64][680/940] lr: 1.0000e-03 eta: 6:12:04 time: 0.5683 data_time: 0.0330 memory: 8322 grad_norm: 4.6907 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1043 loss: 1.1043 2022/08/01 05:03:01 - mmengine - INFO - Epoch(train) [64][700/940] lr: 1.0000e-03 eta: 6:11:52 time: 0.7524 data_time: 0.0394 memory: 8322 grad_norm: 4.5333 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9992 loss: 0.9992 2022/08/01 05:03:12 - mmengine - INFO - Epoch(train) [64][720/940] lr: 1.0000e-03 eta: 6:11:37 time: 0.5311 data_time: 0.0354 memory: 8322 grad_norm: 4.5754 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0720 loss: 1.0720 2022/08/01 05:03:26 - mmengine - INFO - Epoch(train) [64][740/940] lr: 1.0000e-03 eta: 6:11:25 time: 0.7288 data_time: 0.0347 memory: 8322 grad_norm: 4.5077 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0435 loss: 1.0435 2022/08/01 05:03:38 - mmengine - INFO - Epoch(train) [64][760/940] lr: 1.0000e-03 eta: 6:11:11 time: 0.5858 data_time: 0.0261 memory: 8322 grad_norm: 4.5299 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0670 loss: 1.0670 2022/08/01 05:03:52 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:03:52 - mmengine - INFO - Epoch(train) [64][780/940] lr: 1.0000e-03 eta: 6:10:59 time: 0.6972 data_time: 0.0333 memory: 8322 grad_norm: 4.4473 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1261 loss: 1.1261 2022/08/01 05:04:04 - mmengine - INFO - Epoch(train) [64][800/940] lr: 1.0000e-03 eta: 6:10:45 time: 0.6039 data_time: 0.0426 memory: 8322 grad_norm: 4.5135 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1588 loss: 1.1588 2022/08/01 05:04:17 - mmengine - INFO - Epoch(train) [64][820/940] lr: 1.0000e-03 eta: 6:10:32 time: 0.6461 data_time: 0.0352 memory: 8322 grad_norm: 4.5818 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0777 loss: 1.0777 2022/08/01 05:04:29 - mmengine - INFO - Epoch(train) [64][840/940] lr: 1.0000e-03 eta: 6:10:18 time: 0.5843 data_time: 0.0297 memory: 8322 grad_norm: 4.5516 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1411 loss: 1.1411 2022/08/01 05:04:43 - mmengine - INFO - Epoch(train) [64][860/940] lr: 1.0000e-03 eta: 6:10:05 time: 0.7155 data_time: 0.0366 memory: 8322 grad_norm: 4.4912 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1145 loss: 1.1145 2022/08/01 05:04:55 - mmengine - INFO - Epoch(train) [64][880/940] lr: 1.0000e-03 eta: 6:09:52 time: 0.5810 data_time: 0.0257 memory: 8322 grad_norm: 4.6973 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2315 loss: 1.2315 2022/08/01 05:05:10 - mmengine - INFO - Epoch(train) [64][900/940] lr: 1.0000e-03 eta: 6:09:39 time: 0.7394 data_time: 0.0370 memory: 8322 grad_norm: 4.6621 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2588 loss: 1.2588 2022/08/01 05:05:20 - mmengine - INFO - Epoch(train) [64][920/940] lr: 1.0000e-03 eta: 6:09:25 time: 0.5259 data_time: 0.0289 memory: 8322 grad_norm: 4.4923 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0303 loss: 1.0303 2022/08/01 05:05:32 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:05:32 - mmengine - INFO - Epoch(train) [64][940/940] lr: 1.0000e-03 eta: 6:09:11 time: 0.6008 data_time: 0.0260 memory: 8322 grad_norm: 4.9544 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0830 loss: 1.0830 2022/08/01 05:05:46 - mmengine - INFO - Epoch(val) [64][20/78] eta: 0:00:39 time: 0.6778 data_time: 0.6100 memory: 1463 2022/08/01 05:05:54 - mmengine - INFO - Epoch(val) [64][40/78] eta: 0:00:16 time: 0.4251 data_time: 0.3618 memory: 1463 2022/08/01 05:06:08 - mmengine - INFO - Epoch(val) [64][60/78] eta: 0:00:12 time: 0.6973 data_time: 0.6356 memory: 1463 2022/08/01 05:06:18 - mmengine - INFO - Epoch(val) [64][78/78] acc/top1: 0.6856 acc/top5: 0.8822 acc/mean1: 0.6855 2022/08/01 05:06:33 - mmengine - INFO - Epoch(train) [65][20/940] lr: 1.0000e-03 eta: 6:09:00 time: 0.7853 data_time: 0.4832 memory: 8322 grad_norm: 4.6131 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1443 loss: 1.1443 2022/08/01 05:06:45 - mmengine - INFO - Epoch(train) [65][40/940] lr: 1.0000e-03 eta: 6:08:46 time: 0.5742 data_time: 0.1796 memory: 8322 grad_norm: 4.6524 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/08/01 05:06:59 - mmengine - INFO - Epoch(train) [65][60/940] lr: 1.0000e-03 eta: 6:08:33 time: 0.7004 data_time: 0.1478 memory: 8322 grad_norm: 4.5122 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0843 loss: 1.0843 2022/08/01 05:07:10 - mmengine - INFO - Epoch(train) [65][80/940] lr: 1.0000e-03 eta: 6:08:19 time: 0.5722 data_time: 0.1243 memory: 8322 grad_norm: 4.6437 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1623 loss: 1.1623 2022/08/01 05:07:25 - mmengine - INFO - Epoch(train) [65][100/940] lr: 1.0000e-03 eta: 6:08:07 time: 0.7292 data_time: 0.0548 memory: 8322 grad_norm: 4.4608 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0561 loss: 1.0561 2022/08/01 05:07:35 - mmengine - INFO - Epoch(train) [65][120/940] lr: 1.0000e-03 eta: 6:07:52 time: 0.5297 data_time: 0.0293 memory: 8322 grad_norm: 4.4902 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1343 loss: 1.1343 2022/08/01 05:07:50 - mmengine - INFO - Epoch(train) [65][140/940] lr: 1.0000e-03 eta: 6:07:40 time: 0.7359 data_time: 0.0438 memory: 8322 grad_norm: 4.5508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1627 loss: 1.1627 2022/08/01 05:08:02 - mmengine - INFO - Epoch(train) [65][160/940] lr: 1.0000e-03 eta: 6:07:26 time: 0.5870 data_time: 0.0623 memory: 8322 grad_norm: 4.5688 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9457 loss: 0.9457 2022/08/01 05:08:17 - mmengine - INFO - Epoch(train) [65][180/940] lr: 1.0000e-03 eta: 6:07:14 time: 0.7649 data_time: 0.0847 memory: 8322 grad_norm: 4.5558 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0509 loss: 1.0509 2022/08/01 05:08:28 - mmengine - INFO - Epoch(train) [65][200/940] lr: 1.0000e-03 eta: 6:07:00 time: 0.5577 data_time: 0.0970 memory: 8322 grad_norm: 4.6130 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1494 loss: 1.1494 2022/08/01 05:08:43 - mmengine - INFO - Epoch(train) [65][220/940] lr: 1.0000e-03 eta: 6:06:48 time: 0.7260 data_time: 0.2267 memory: 8322 grad_norm: 4.6345 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1566 loss: 1.1566 2022/08/01 05:08:54 - mmengine - INFO - Epoch(train) [65][240/940] lr: 1.0000e-03 eta: 6:06:33 time: 0.5313 data_time: 0.2418 memory: 8322 grad_norm: 4.6164 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.1389 loss: 1.1389 2022/08/01 05:09:08 - mmengine - INFO - Epoch(train) [65][260/940] lr: 1.0000e-03 eta: 6:06:21 time: 0.7337 data_time: 0.5112 memory: 8322 grad_norm: 4.4945 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0940 loss: 1.0940 2022/08/01 05:09:19 - mmengine - INFO - Epoch(train) [65][280/940] lr: 1.0000e-03 eta: 6:06:07 time: 0.5397 data_time: 0.2430 memory: 8322 grad_norm: 4.6435 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1763 loss: 1.1763 2022/08/01 05:09:33 - mmengine - INFO - Epoch(train) [65][300/940] lr: 1.0000e-03 eta: 6:05:54 time: 0.7093 data_time: 0.3631 memory: 8322 grad_norm: 4.6551 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1942 loss: 1.1942 2022/08/01 05:09:45 - mmengine - INFO - Epoch(train) [65][320/940] lr: 1.0000e-03 eta: 6:05:40 time: 0.5651 data_time: 0.2936 memory: 8322 grad_norm: 4.5563 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9588 loss: 0.9588 2022/08/01 05:09:58 - mmengine - INFO - Epoch(train) [65][340/940] lr: 1.0000e-03 eta: 6:05:28 time: 0.6929 data_time: 0.4224 memory: 8322 grad_norm: 4.5556 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1458 loss: 1.1458 2022/08/01 05:10:10 - mmengine - INFO - Epoch(train) [65][360/940] lr: 1.0000e-03 eta: 6:05:14 time: 0.5944 data_time: 0.2458 memory: 8322 grad_norm: 4.6294 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1012 loss: 1.1012 2022/08/01 05:10:25 - mmengine - INFO - Epoch(train) [65][380/940] lr: 1.0000e-03 eta: 6:05:01 time: 0.7142 data_time: 0.4619 memory: 8322 grad_norm: 4.6000 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1018 loss: 1.1018 2022/08/01 05:10:35 - mmengine - INFO - Epoch(train) [65][400/940] lr: 1.0000e-03 eta: 6:04:47 time: 0.5251 data_time: 0.2990 memory: 8322 grad_norm: 4.5777 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0837 loss: 1.0837 2022/08/01 05:10:50 - mmengine - INFO - Epoch(train) [65][420/940] lr: 1.0000e-03 eta: 6:04:35 time: 0.7622 data_time: 0.5407 memory: 8322 grad_norm: 4.5497 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0754 loss: 1.0754 2022/08/01 05:11:02 - mmengine - INFO - Epoch(train) [65][440/940] lr: 1.0000e-03 eta: 6:04:21 time: 0.5727 data_time: 0.3434 memory: 8322 grad_norm: 4.5389 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1434 loss: 1.1434 2022/08/01 05:11:17 - mmengine - INFO - Epoch(train) [65][460/940] lr: 1.0000e-03 eta: 6:04:09 time: 0.7420 data_time: 0.5077 memory: 8322 grad_norm: 4.6579 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0902 loss: 1.0902 2022/08/01 05:11:28 - mmengine - INFO - Epoch(train) [65][480/940] lr: 1.0000e-03 eta: 6:03:55 time: 0.5687 data_time: 0.3140 memory: 8322 grad_norm: 4.5656 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1323 loss: 1.1323 2022/08/01 05:11:42 - mmengine - INFO - Epoch(train) [65][500/940] lr: 1.0000e-03 eta: 6:03:42 time: 0.7020 data_time: 0.4504 memory: 8322 grad_norm: 4.6005 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0857 loss: 1.0857 2022/08/01 05:11:53 - mmengine - INFO - Epoch(train) [65][520/940] lr: 1.0000e-03 eta: 6:03:28 time: 0.5598 data_time: 0.3102 memory: 8322 grad_norm: 4.5991 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0523 loss: 1.0523 2022/08/01 05:12:09 - mmengine - INFO - Epoch(train) [65][540/940] lr: 1.0000e-03 eta: 6:03:16 time: 0.7717 data_time: 0.5014 memory: 8322 grad_norm: 4.4948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1145 loss: 1.1145 2022/08/01 05:12:20 - mmengine - INFO - Epoch(train) [65][560/940] lr: 1.0000e-03 eta: 6:03:02 time: 0.5811 data_time: 0.3544 memory: 8322 grad_norm: 4.5344 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1137 loss: 1.1137 2022/08/01 05:12:34 - mmengine - INFO - Epoch(train) [65][580/940] lr: 1.0000e-03 eta: 6:02:50 time: 0.6723 data_time: 0.4572 memory: 8322 grad_norm: 4.5973 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1236 loss: 1.1236 2022/08/01 05:12:45 - mmengine - INFO - Epoch(train) [65][600/940] lr: 1.0000e-03 eta: 6:02:36 time: 0.5780 data_time: 0.3618 memory: 8322 grad_norm: 4.5099 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0415 loss: 1.0415 2022/08/01 05:13:00 - mmengine - INFO - Epoch(train) [65][620/940] lr: 1.0000e-03 eta: 6:02:23 time: 0.7368 data_time: 0.5213 memory: 8322 grad_norm: 4.4867 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0195 loss: 1.0195 2022/08/01 05:13:11 - mmengine - INFO - Epoch(train) [65][640/940] lr: 1.0000e-03 eta: 6:02:09 time: 0.5363 data_time: 0.3147 memory: 8322 grad_norm: 4.5735 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1364 loss: 1.1364 2022/08/01 05:13:27 - mmengine - INFO - Epoch(train) [65][660/940] lr: 1.0000e-03 eta: 6:01:58 time: 0.8046 data_time: 0.5327 memory: 8322 grad_norm: 4.5630 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0760 loss: 1.0760 2022/08/01 05:13:36 - mmengine - INFO - Epoch(train) [65][680/940] lr: 1.0000e-03 eta: 6:01:42 time: 0.4725 data_time: 0.2471 memory: 8322 grad_norm: 4.5957 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1389 loss: 1.1389 2022/08/01 05:13:50 - mmengine - INFO - Epoch(train) [65][700/940] lr: 1.0000e-03 eta: 6:01:30 time: 0.6953 data_time: 0.4525 memory: 8322 grad_norm: 4.6108 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0346 loss: 1.0346 2022/08/01 05:14:01 - mmengine - INFO - Epoch(train) [65][720/940] lr: 1.0000e-03 eta: 6:01:16 time: 0.5504 data_time: 0.3174 memory: 8322 grad_norm: 4.5883 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1283 loss: 1.1283 2022/08/01 05:14:15 - mmengine - INFO - Epoch(train) [65][740/940] lr: 1.0000e-03 eta: 6:01:03 time: 0.6894 data_time: 0.3495 memory: 8322 grad_norm: 4.6491 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1928 loss: 1.1928 2022/08/01 05:14:28 - mmengine - INFO - Epoch(train) [65][760/940] lr: 1.0000e-03 eta: 6:00:50 time: 0.6417 data_time: 0.1599 memory: 8322 grad_norm: 4.5500 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9780 loss: 0.9780 2022/08/01 05:14:41 - mmengine - INFO - Epoch(train) [65][780/940] lr: 1.0000e-03 eta: 6:00:36 time: 0.6438 data_time: 0.1074 memory: 8322 grad_norm: 4.4135 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0266 loss: 1.0266 2022/08/01 05:14:53 - mmengine - INFO - Epoch(train) [65][800/940] lr: 1.0000e-03 eta: 6:00:23 time: 0.6122 data_time: 0.0880 memory: 8322 grad_norm: 4.5335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1300 loss: 1.1300 2022/08/01 05:15:07 - mmengine - INFO - Epoch(train) [65][820/940] lr: 1.0000e-03 eta: 6:00:10 time: 0.6856 data_time: 0.1686 memory: 8322 grad_norm: 4.6068 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2131 loss: 1.2131 2022/08/01 05:15:18 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:15:18 - mmengine - INFO - Epoch(train) [65][840/940] lr: 1.0000e-03 eta: 5:59:56 time: 0.5480 data_time: 0.1857 memory: 8322 grad_norm: 4.5441 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1000 loss: 1.1000 2022/08/01 05:15:34 - mmengine - INFO - Epoch(train) [65][860/940] lr: 1.0000e-03 eta: 5:59:45 time: 0.8127 data_time: 0.1801 memory: 8322 grad_norm: 4.5901 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0411 loss: 1.0411 2022/08/01 05:15:44 - mmengine - INFO - Epoch(train) [65][880/940] lr: 1.0000e-03 eta: 5:59:30 time: 0.5045 data_time: 0.0396 memory: 8322 grad_norm: 4.6353 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2197 loss: 1.2197 2022/08/01 05:15:58 - mmengine - INFO - Epoch(train) [65][900/940] lr: 1.0000e-03 eta: 5:59:17 time: 0.7147 data_time: 0.0660 memory: 8322 grad_norm: 4.6227 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0191 loss: 1.0191 2022/08/01 05:16:10 - mmengine - INFO - Epoch(train) [65][920/940] lr: 1.0000e-03 eta: 5:59:03 time: 0.5541 data_time: 0.1596 memory: 8322 grad_norm: 4.5524 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0851 loss: 1.0851 2022/08/01 05:16:23 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:16:23 - mmengine - INFO - Epoch(train) [65][940/940] lr: 1.0000e-03 eta: 5:58:50 time: 0.6508 data_time: 0.2109 memory: 8322 grad_norm: 4.9985 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.2237 loss: 1.2237 2022/08/01 05:16:36 - mmengine - INFO - Epoch(val) [65][20/78] eta: 0:00:39 time: 0.6756 data_time: 0.6089 memory: 1463 2022/08/01 05:16:45 - mmengine - INFO - Epoch(val) [65][40/78] eta: 0:00:16 time: 0.4460 data_time: 0.3782 memory: 1463 2022/08/01 05:16:58 - mmengine - INFO - Epoch(val) [65][60/78] eta: 0:00:11 time: 0.6375 data_time: 0.5740 memory: 1463 2022/08/01 05:17:09 - mmengine - INFO - Epoch(val) [65][78/78] acc/top1: 0.6891 acc/top5: 0.8817 acc/mean1: 0.6890 2022/08/01 05:17:26 - mmengine - INFO - Epoch(train) [66][20/940] lr: 1.0000e-03 eta: 5:58:39 time: 0.8129 data_time: 0.4458 memory: 8322 grad_norm: 4.5226 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1875 loss: 1.1875 2022/08/01 05:17:37 - mmengine - INFO - Epoch(train) [66][40/940] lr: 1.0000e-03 eta: 5:58:25 time: 0.5840 data_time: 0.1914 memory: 8322 grad_norm: 4.6529 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1511 loss: 1.1511 2022/08/01 05:17:52 - mmengine - INFO - Epoch(train) [66][60/940] lr: 1.0000e-03 eta: 5:58:12 time: 0.7116 data_time: 0.1625 memory: 8322 grad_norm: 4.5716 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0486 loss: 1.0486 2022/08/01 05:18:03 - mmengine - INFO - Epoch(train) [66][80/940] lr: 1.0000e-03 eta: 5:57:58 time: 0.5458 data_time: 0.1312 memory: 8322 grad_norm: 4.5236 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.1390 loss: 1.1390 2022/08/01 05:18:17 - mmengine - INFO - Epoch(train) [66][100/940] lr: 1.0000e-03 eta: 5:57:46 time: 0.7034 data_time: 0.0450 memory: 8322 grad_norm: 4.5451 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1576 loss: 1.1576 2022/08/01 05:18:28 - mmengine - INFO - Epoch(train) [66][120/940] lr: 1.0000e-03 eta: 5:57:31 time: 0.5549 data_time: 0.0414 memory: 8322 grad_norm: 4.6979 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.1536 loss: 1.1536 2022/08/01 05:18:44 - mmengine - INFO - Epoch(train) [66][140/940] lr: 1.0000e-03 eta: 5:57:20 time: 0.7912 data_time: 0.0302 memory: 8322 grad_norm: 4.5820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0617 loss: 1.0617 2022/08/01 05:18:54 - mmengine - INFO - Epoch(train) [66][160/940] lr: 1.0000e-03 eta: 5:57:05 time: 0.4956 data_time: 0.0286 memory: 8322 grad_norm: 4.5555 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9990 loss: 0.9990 2022/08/01 05:19:08 - mmengine - INFO - Epoch(train) [66][180/940] lr: 1.0000e-03 eta: 5:56:53 time: 0.7114 data_time: 0.0314 memory: 8322 grad_norm: 4.6183 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0736 loss: 1.0736 2022/08/01 05:19:19 - mmengine - INFO - Epoch(train) [66][200/940] lr: 1.0000e-03 eta: 5:56:38 time: 0.5632 data_time: 0.0433 memory: 8322 grad_norm: 4.5974 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0426 loss: 1.0426 2022/08/01 05:19:33 - mmengine - INFO - Epoch(train) [66][220/940] lr: 1.0000e-03 eta: 5:56:26 time: 0.6892 data_time: 0.0364 memory: 8322 grad_norm: 4.5529 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0151 loss: 1.0151 2022/08/01 05:19:44 - mmengine - INFO - Epoch(train) [66][240/940] lr: 1.0000e-03 eta: 5:56:12 time: 0.5610 data_time: 0.0381 memory: 8322 grad_norm: 4.6939 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1373 loss: 1.1373 2022/08/01 05:19:59 - mmengine - INFO - Epoch(train) [66][260/940] lr: 1.0000e-03 eta: 5:56:00 time: 0.7664 data_time: 0.0428 memory: 8322 grad_norm: 4.6019 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1852 loss: 1.1852 2022/08/01 05:20:10 - mmengine - INFO - Epoch(train) [66][280/940] lr: 1.0000e-03 eta: 5:55:45 time: 0.5428 data_time: 0.0369 memory: 8322 grad_norm: 4.5749 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1232 loss: 1.1232 2022/08/01 05:20:25 - mmengine - INFO - Epoch(train) [66][300/940] lr: 1.0000e-03 eta: 5:55:33 time: 0.7253 data_time: 0.0389 memory: 8322 grad_norm: 4.5675 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0373 loss: 1.0373 2022/08/01 05:20:36 - mmengine - INFO - Epoch(train) [66][320/940] lr: 1.0000e-03 eta: 5:55:19 time: 0.5699 data_time: 0.0346 memory: 8322 grad_norm: 4.4531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9934 loss: 0.9934 2022/08/01 05:20:51 - mmengine - INFO - Epoch(train) [66][340/940] lr: 1.0000e-03 eta: 5:55:07 time: 0.7229 data_time: 0.0358 memory: 8322 grad_norm: 4.5467 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0216 loss: 1.0216 2022/08/01 05:21:01 - mmengine - INFO - Epoch(train) [66][360/940] lr: 1.0000e-03 eta: 5:54:52 time: 0.5303 data_time: 0.0377 memory: 8322 grad_norm: 4.6567 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0186 loss: 1.0186 2022/08/01 05:21:16 - mmengine - INFO - Epoch(train) [66][380/940] lr: 1.0000e-03 eta: 5:54:40 time: 0.7481 data_time: 0.0477 memory: 8322 grad_norm: 4.5758 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1660 loss: 1.1660 2022/08/01 05:21:27 - mmengine - INFO - Epoch(train) [66][400/940] lr: 1.0000e-03 eta: 5:54:26 time: 0.5477 data_time: 0.0304 memory: 8322 grad_norm: 4.5839 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1002 loss: 1.1002 2022/08/01 05:21:43 - mmengine - INFO - Epoch(train) [66][420/940] lr: 1.0000e-03 eta: 5:54:14 time: 0.7717 data_time: 0.0340 memory: 8322 grad_norm: 4.5556 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0692 loss: 1.0692 2022/08/01 05:21:54 - mmengine - INFO - Epoch(train) [66][440/940] lr: 1.0000e-03 eta: 5:54:00 time: 0.5844 data_time: 0.0341 memory: 8322 grad_norm: 4.5906 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2006 loss: 1.2006 2022/08/01 05:22:08 - mmengine - INFO - Epoch(train) [66][460/940] lr: 1.0000e-03 eta: 5:53:48 time: 0.7070 data_time: 0.0313 memory: 8322 grad_norm: 4.5508 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0815 loss: 1.0815 2022/08/01 05:22:21 - mmengine - INFO - Epoch(train) [66][480/940] lr: 1.0000e-03 eta: 5:53:35 time: 0.6325 data_time: 0.0413 memory: 8322 grad_norm: 4.5676 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0443 loss: 1.0443 2022/08/01 05:22:34 - mmengine - INFO - Epoch(train) [66][500/940] lr: 1.0000e-03 eta: 5:53:22 time: 0.6569 data_time: 0.0338 memory: 8322 grad_norm: 4.4862 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0539 loss: 1.0539 2022/08/01 05:22:48 - mmengine - INFO - Epoch(train) [66][520/940] lr: 1.0000e-03 eta: 5:53:09 time: 0.7069 data_time: 0.0416 memory: 8322 grad_norm: 4.6221 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1825 loss: 1.1825 2022/08/01 05:23:00 - mmengine - INFO - Epoch(train) [66][540/940] lr: 1.0000e-03 eta: 5:52:55 time: 0.5766 data_time: 0.0335 memory: 8322 grad_norm: 4.6707 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1380 loss: 1.1380 2022/08/01 05:23:14 - mmengine - INFO - Epoch(train) [66][560/940] lr: 1.0000e-03 eta: 5:52:43 time: 0.7093 data_time: 0.0327 memory: 8322 grad_norm: 4.6307 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0849 loss: 1.0849 2022/08/01 05:23:26 - mmengine - INFO - Epoch(train) [66][580/940] lr: 1.0000e-03 eta: 5:52:29 time: 0.5797 data_time: 0.0449 memory: 8322 grad_norm: 4.6387 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2078 loss: 1.2078 2022/08/01 05:23:39 - mmengine - INFO - Epoch(train) [66][600/940] lr: 1.0000e-03 eta: 5:52:15 time: 0.6390 data_time: 0.0415 memory: 8322 grad_norm: 4.6372 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0834 loss: 1.0834 2022/08/01 05:23:53 - mmengine - INFO - Epoch(train) [66][620/940] lr: 1.0000e-03 eta: 5:52:03 time: 0.6984 data_time: 0.0342 memory: 8322 grad_norm: 4.6090 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2393 loss: 1.2393 2022/08/01 05:24:04 - mmengine - INFO - Epoch(train) [66][640/940] lr: 1.0000e-03 eta: 5:51:49 time: 0.5738 data_time: 0.0434 memory: 8322 grad_norm: 4.6843 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1336 loss: 1.1336 2022/08/01 05:24:17 - mmengine - INFO - Epoch(train) [66][660/940] lr: 1.0000e-03 eta: 5:51:36 time: 0.6573 data_time: 0.0274 memory: 8322 grad_norm: 4.6662 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1158 loss: 1.1158 2022/08/01 05:24:30 - mmengine - INFO - Epoch(train) [66][680/940] lr: 1.0000e-03 eta: 5:51:23 time: 0.6331 data_time: 0.0328 memory: 8322 grad_norm: 4.6850 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1362 loss: 1.1362 2022/08/01 05:24:42 - mmengine - INFO - Epoch(train) [66][700/940] lr: 1.0000e-03 eta: 5:51:09 time: 0.6099 data_time: 0.0399 memory: 8322 grad_norm: 4.4917 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9682 loss: 0.9682 2022/08/01 05:24:56 - mmengine - INFO - Epoch(train) [66][720/940] lr: 1.0000e-03 eta: 5:50:56 time: 0.7003 data_time: 0.0470 memory: 8322 grad_norm: 4.6645 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0618 loss: 1.0618 2022/08/01 05:25:08 - mmengine - INFO - Epoch(train) [66][740/940] lr: 1.0000e-03 eta: 5:50:43 time: 0.6186 data_time: 0.0384 memory: 8322 grad_norm: 4.5457 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0587 loss: 1.0587 2022/08/01 05:25:22 - mmengine - INFO - Epoch(train) [66][760/940] lr: 1.0000e-03 eta: 5:50:30 time: 0.6540 data_time: 0.0371 memory: 8322 grad_norm: 4.6308 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1965 loss: 1.1965 2022/08/01 05:25:33 - mmengine - INFO - Epoch(train) [66][780/940] lr: 1.0000e-03 eta: 5:50:16 time: 0.5948 data_time: 0.0502 memory: 8322 grad_norm: 4.5320 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0261 loss: 1.0261 2022/08/01 05:25:48 - mmengine - INFO - Epoch(train) [66][800/940] lr: 1.0000e-03 eta: 5:50:04 time: 0.7280 data_time: 0.0541 memory: 8322 grad_norm: 4.6069 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1122 loss: 1.1122 2022/08/01 05:25:59 - mmengine - INFO - Epoch(train) [66][820/940] lr: 1.0000e-03 eta: 5:49:50 time: 0.5560 data_time: 0.0409 memory: 8322 grad_norm: 4.5136 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0633 loss: 1.0633 2022/08/01 05:26:14 - mmengine - INFO - Epoch(train) [66][840/940] lr: 1.0000e-03 eta: 5:49:37 time: 0.7254 data_time: 0.1264 memory: 8322 grad_norm: 4.6988 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2080 loss: 1.2080 2022/08/01 05:26:25 - mmengine - INFO - Epoch(train) [66][860/940] lr: 1.0000e-03 eta: 5:49:24 time: 0.5878 data_time: 0.0434 memory: 8322 grad_norm: 4.5485 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1854 loss: 1.1854 2022/08/01 05:26:39 - mmengine - INFO - Epoch(train) [66][880/940] lr: 1.0000e-03 eta: 5:49:11 time: 0.6999 data_time: 0.0427 memory: 8322 grad_norm: 4.5277 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9696 loss: 0.9696 2022/08/01 05:26:51 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:26:51 - mmengine - INFO - Epoch(train) [66][900/940] lr: 1.0000e-03 eta: 5:48:57 time: 0.5832 data_time: 0.0360 memory: 8322 grad_norm: 4.6891 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1620 loss: 1.1620 2022/08/01 05:27:05 - mmengine - INFO - Epoch(train) [66][920/940] lr: 1.0000e-03 eta: 5:48:44 time: 0.6747 data_time: 0.0326 memory: 8322 grad_norm: 4.6539 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1322 loss: 1.1322 2022/08/01 05:27:14 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:27:14 - mmengine - INFO - Epoch(train) [66][940/940] lr: 1.0000e-03 eta: 5:48:30 time: 0.4950 data_time: 0.0299 memory: 8322 grad_norm: 5.0559 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.2356 loss: 1.2356 2022/08/01 05:27:14 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/08/01 05:27:30 - mmengine - INFO - Epoch(val) [66][20/78] eta: 0:00:38 time: 0.6718 data_time: 0.6117 memory: 1463 2022/08/01 05:27:39 - mmengine - INFO - Epoch(val) [66][40/78] eta: 0:00:16 time: 0.4459 data_time: 0.3824 memory: 1463 2022/08/01 05:27:52 - mmengine - INFO - Epoch(val) [66][60/78] eta: 0:00:11 time: 0.6373 data_time: 0.5755 memory: 1463 2022/08/01 05:28:01 - mmengine - INFO - Epoch(val) [66][78/78] acc/top1: 0.6893 acc/top5: 0.8808 acc/mean1: 0.6892 2022/08/01 05:28:18 - mmengine - INFO - Epoch(train) [67][20/940] lr: 1.0000e-03 eta: 5:48:18 time: 0.8092 data_time: 0.5869 memory: 8322 grad_norm: 4.4599 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0757 loss: 1.0757 2022/08/01 05:28:29 - mmengine - INFO - Epoch(train) [67][40/940] lr: 1.0000e-03 eta: 5:48:04 time: 0.5616 data_time: 0.3338 memory: 8322 grad_norm: 4.6198 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0852 loss: 1.0852 2022/08/01 05:28:44 - mmengine - INFO - Epoch(train) [67][60/940] lr: 1.0000e-03 eta: 5:47:52 time: 0.7361 data_time: 0.3518 memory: 8322 grad_norm: 4.5202 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/08/01 05:28:56 - mmengine - INFO - Epoch(train) [67][80/940] lr: 1.0000e-03 eta: 5:47:38 time: 0.6034 data_time: 0.1499 memory: 8322 grad_norm: 4.5849 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1566 loss: 1.1566 2022/08/01 05:29:10 - mmengine - INFO - Epoch(train) [67][100/940] lr: 1.0000e-03 eta: 5:47:26 time: 0.7204 data_time: 0.0363 memory: 8322 grad_norm: 4.6267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0905 loss: 1.0905 2022/08/01 05:29:21 - mmengine - INFO - Epoch(train) [67][120/940] lr: 1.0000e-03 eta: 5:47:11 time: 0.5418 data_time: 0.0280 memory: 8322 grad_norm: 4.5522 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2023 loss: 1.2023 2022/08/01 05:29:36 - mmengine - INFO - Epoch(train) [67][140/940] lr: 1.0000e-03 eta: 5:46:59 time: 0.7221 data_time: 0.0367 memory: 8322 grad_norm: 4.5836 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0426 loss: 1.0426 2022/08/01 05:29:47 - mmengine - INFO - Epoch(train) [67][160/940] lr: 1.0000e-03 eta: 5:46:45 time: 0.5707 data_time: 0.0391 memory: 8322 grad_norm: 4.6059 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0829 loss: 1.0829 2022/08/01 05:30:02 - mmengine - INFO - Epoch(train) [67][180/940] lr: 1.0000e-03 eta: 5:46:33 time: 0.7617 data_time: 0.0330 memory: 8322 grad_norm: 4.5798 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0932 loss: 1.0932 2022/08/01 05:30:14 - mmengine - INFO - Epoch(train) [67][200/940] lr: 1.0000e-03 eta: 5:46:19 time: 0.5866 data_time: 0.0310 memory: 8322 grad_norm: 4.5051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0100 loss: 1.0100 2022/08/01 05:30:27 - mmengine - INFO - Epoch(train) [67][220/940] lr: 1.0000e-03 eta: 5:46:07 time: 0.6844 data_time: 0.0369 memory: 8322 grad_norm: 4.5474 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1153 loss: 1.1153 2022/08/01 05:30:39 - mmengine - INFO - Epoch(train) [67][240/940] lr: 1.0000e-03 eta: 5:45:53 time: 0.5548 data_time: 0.0337 memory: 8322 grad_norm: 4.6375 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0986 loss: 1.0986 2022/08/01 05:30:54 - mmengine - INFO - Epoch(train) [67][260/940] lr: 1.0000e-03 eta: 5:45:41 time: 0.7842 data_time: 0.0433 memory: 8322 grad_norm: 4.6677 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1369 loss: 1.1369 2022/08/01 05:31:04 - mmengine - INFO - Epoch(train) [67][280/940] lr: 1.0000e-03 eta: 5:45:26 time: 0.5017 data_time: 0.0304 memory: 8322 grad_norm: 4.5801 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0507 loss: 1.0507 2022/08/01 05:31:19 - mmengine - INFO - Epoch(train) [67][300/940] lr: 1.0000e-03 eta: 5:45:14 time: 0.7138 data_time: 0.0425 memory: 8322 grad_norm: 4.5649 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0486 loss: 1.0486 2022/08/01 05:31:30 - mmengine - INFO - Epoch(train) [67][320/940] lr: 1.0000e-03 eta: 5:45:00 time: 0.5870 data_time: 0.0279 memory: 8322 grad_norm: 4.5975 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0668 loss: 1.0668 2022/08/01 05:31:45 - mmengine - INFO - Epoch(train) [67][340/940] lr: 1.0000e-03 eta: 5:44:47 time: 0.7155 data_time: 0.0306 memory: 8322 grad_norm: 4.5656 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0277 loss: 1.0277 2022/08/01 05:31:56 - mmengine - INFO - Epoch(train) [67][360/940] lr: 1.0000e-03 eta: 5:44:33 time: 0.5722 data_time: 0.0329 memory: 8322 grad_norm: 4.5489 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0352 loss: 1.0352 2022/08/01 05:32:10 - mmengine - INFO - Epoch(train) [67][380/940] lr: 1.0000e-03 eta: 5:44:21 time: 0.7187 data_time: 0.0421 memory: 8322 grad_norm: 4.5945 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1344 loss: 1.1344 2022/08/01 05:32:21 - mmengine - INFO - Epoch(train) [67][400/940] lr: 1.0000e-03 eta: 5:44:07 time: 0.5341 data_time: 0.0313 memory: 8322 grad_norm: 4.6031 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1139 loss: 1.1139 2022/08/01 05:32:35 - mmengine - INFO - Epoch(train) [67][420/940] lr: 1.0000e-03 eta: 5:43:54 time: 0.7009 data_time: 0.0373 memory: 8322 grad_norm: 4.6844 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0897 loss: 1.0897 2022/08/01 05:32:49 - mmengine - INFO - Epoch(train) [67][440/940] lr: 1.0000e-03 eta: 5:43:41 time: 0.6696 data_time: 0.0384 memory: 8322 grad_norm: 4.6526 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1220 loss: 1.1220 2022/08/01 05:33:00 - mmengine - INFO - Epoch(train) [67][460/940] lr: 1.0000e-03 eta: 5:43:27 time: 0.5715 data_time: 0.0337 memory: 8322 grad_norm: 4.5775 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0175 loss: 1.0175 2022/08/01 05:33:15 - mmengine - INFO - Epoch(train) [67][480/940] lr: 1.0000e-03 eta: 5:43:15 time: 0.7242 data_time: 0.0352 memory: 8322 grad_norm: 4.6727 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1174 loss: 1.1174 2022/08/01 05:33:26 - mmengine - INFO - Epoch(train) [67][500/940] lr: 1.0000e-03 eta: 5:43:01 time: 0.5806 data_time: 0.0474 memory: 8322 grad_norm: 4.5624 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1525 loss: 1.1525 2022/08/01 05:33:41 - mmengine - INFO - Epoch(train) [67][520/940] lr: 1.0000e-03 eta: 5:42:49 time: 0.7562 data_time: 0.0348 memory: 8322 grad_norm: 4.6428 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0512 loss: 1.0512 2022/08/01 05:33:52 - mmengine - INFO - Epoch(train) [67][540/940] lr: 1.0000e-03 eta: 5:42:35 time: 0.5481 data_time: 0.0324 memory: 8322 grad_norm: 4.6181 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0526 loss: 1.0526 2022/08/01 05:34:06 - mmengine - INFO - Epoch(train) [67][560/940] lr: 1.0000e-03 eta: 5:42:22 time: 0.7115 data_time: 0.0365 memory: 8322 grad_norm: 4.5652 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1046 loss: 1.1046 2022/08/01 05:34:18 - mmengine - INFO - Epoch(train) [67][580/940] lr: 1.0000e-03 eta: 5:42:08 time: 0.5574 data_time: 0.0335 memory: 8322 grad_norm: 4.6381 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1372 loss: 1.1372 2022/08/01 05:34:32 - mmengine - INFO - Epoch(train) [67][600/940] lr: 1.0000e-03 eta: 5:41:56 time: 0.7262 data_time: 0.0600 memory: 8322 grad_norm: 4.6010 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2507 loss: 1.2507 2022/08/01 05:34:44 - mmengine - INFO - Epoch(train) [67][620/940] lr: 1.0000e-03 eta: 5:41:42 time: 0.5716 data_time: 0.0376 memory: 8322 grad_norm: 4.6711 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1461 loss: 1.1461 2022/08/01 05:34:58 - mmengine - INFO - Epoch(train) [67][640/940] lr: 1.0000e-03 eta: 5:41:30 time: 0.7437 data_time: 0.0350 memory: 8322 grad_norm: 4.6705 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0216 loss: 1.0216 2022/08/01 05:35:10 - mmengine - INFO - Epoch(train) [67][660/940] lr: 1.0000e-03 eta: 5:41:16 time: 0.5637 data_time: 0.0255 memory: 8322 grad_norm: 4.7287 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1650 loss: 1.1650 2022/08/01 05:35:25 - mmengine - INFO - Epoch(train) [67][680/940] lr: 1.0000e-03 eta: 5:41:04 time: 0.7852 data_time: 0.0404 memory: 8322 grad_norm: 4.5816 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0534 loss: 1.0534 2022/08/01 05:35:36 - mmengine - INFO - Epoch(train) [67][700/940] lr: 1.0000e-03 eta: 5:40:50 time: 0.5284 data_time: 0.0335 memory: 8322 grad_norm: 4.6543 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0536 loss: 1.0536 2022/08/01 05:35:51 - mmengine - INFO - Epoch(train) [67][720/940] lr: 1.0000e-03 eta: 5:40:37 time: 0.7251 data_time: 0.0368 memory: 8322 grad_norm: 4.6759 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1728 loss: 1.1728 2022/08/01 05:36:01 - mmengine - INFO - Epoch(train) [67][740/940] lr: 1.0000e-03 eta: 5:40:23 time: 0.5436 data_time: 0.0328 memory: 8322 grad_norm: 4.6187 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/08/01 05:36:16 - mmengine - INFO - Epoch(train) [67][760/940] lr: 1.0000e-03 eta: 5:40:11 time: 0.7062 data_time: 0.0331 memory: 8322 grad_norm: 4.6245 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0732 loss: 1.0732 2022/08/01 05:36:27 - mmengine - INFO - Epoch(train) [67][780/940] lr: 1.0000e-03 eta: 5:39:57 time: 0.5649 data_time: 0.0427 memory: 8322 grad_norm: 4.7457 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1816 loss: 1.1816 2022/08/01 05:36:42 - mmengine - INFO - Epoch(train) [67][800/940] lr: 1.0000e-03 eta: 5:39:44 time: 0.7392 data_time: 0.0382 memory: 8322 grad_norm: 4.6343 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0640 loss: 1.0640 2022/08/01 05:36:52 - mmengine - INFO - Epoch(train) [67][820/940] lr: 1.0000e-03 eta: 5:39:30 time: 0.5289 data_time: 0.0264 memory: 8322 grad_norm: 4.5806 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0741 loss: 1.0741 2022/08/01 05:37:06 - mmengine - INFO - Epoch(train) [67][840/940] lr: 1.0000e-03 eta: 5:39:17 time: 0.6881 data_time: 0.0755 memory: 8322 grad_norm: 4.6524 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1487 loss: 1.1487 2022/08/01 05:37:19 - mmengine - INFO - Epoch(train) [67][860/940] lr: 1.0000e-03 eta: 5:39:04 time: 0.6581 data_time: 0.0488 memory: 8322 grad_norm: 4.6280 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0296 loss: 1.0296 2022/08/01 05:37:32 - mmengine - INFO - Epoch(train) [67][880/940] lr: 1.0000e-03 eta: 5:38:51 time: 0.6522 data_time: 0.0414 memory: 8322 grad_norm: 4.6531 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0992 loss: 1.0992 2022/08/01 05:37:45 - mmengine - INFO - Epoch(train) [67][900/940] lr: 1.0000e-03 eta: 5:38:38 time: 0.6506 data_time: 0.0355 memory: 8322 grad_norm: 4.4899 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1688 loss: 1.1688 2022/08/01 05:37:58 - mmengine - INFO - Epoch(train) [67][920/940] lr: 1.0000e-03 eta: 5:38:25 time: 0.6295 data_time: 0.0390 memory: 8322 grad_norm: 4.6492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0325 loss: 1.0325 2022/08/01 05:38:08 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:38:08 - mmengine - INFO - Epoch(train) [67][940/940] lr: 1.0000e-03 eta: 5:38:10 time: 0.5168 data_time: 0.0272 memory: 8322 grad_norm: 4.9274 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.2127 loss: 1.2127 2022/08/01 05:38:22 - mmengine - INFO - Epoch(val) [67][20/78] eta: 0:00:39 time: 0.6884 data_time: 0.6221 memory: 1463 2022/08/01 05:38:31 - mmengine - INFO - Epoch(val) [67][40/78] eta: 0:00:16 time: 0.4230 data_time: 0.3560 memory: 1463 2022/08/01 05:38:43 - mmengine - INFO - Epoch(val) [67][60/78] eta: 0:00:11 time: 0.6488 data_time: 0.5838 memory: 1463 2022/08/01 05:38:54 - mmengine - INFO - Epoch(val) [67][78/78] acc/top1: 0.6871 acc/top5: 0.8815 acc/mean1: 0.6870 2022/08/01 05:39:11 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:39:11 - mmengine - INFO - Epoch(train) [68][20/940] lr: 1.0000e-03 eta: 5:37:59 time: 0.8372 data_time: 0.4604 memory: 8322 grad_norm: 4.5179 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0540 loss: 1.0540 2022/08/01 05:39:21 - mmengine - INFO - Epoch(train) [68][40/940] lr: 1.0000e-03 eta: 5:37:45 time: 0.5433 data_time: 0.1458 memory: 8322 grad_norm: 4.4966 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0064 loss: 1.0064 2022/08/01 05:39:36 - mmengine - INFO - Epoch(train) [68][60/940] lr: 1.0000e-03 eta: 5:37:33 time: 0.7534 data_time: 0.2105 memory: 8322 grad_norm: 4.5979 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1823 loss: 1.1823 2022/08/01 05:39:47 - mmengine - INFO - Epoch(train) [68][80/940] lr: 1.0000e-03 eta: 5:37:19 time: 0.5412 data_time: 0.1536 memory: 8322 grad_norm: 4.5635 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0696 loss: 1.0696 2022/08/01 05:40:02 - mmengine - INFO - Epoch(train) [68][100/940] lr: 1.0000e-03 eta: 5:37:06 time: 0.7144 data_time: 0.1007 memory: 8322 grad_norm: 4.6018 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1124 loss: 1.1124 2022/08/01 05:40:13 - mmengine - INFO - Epoch(train) [68][120/940] lr: 1.0000e-03 eta: 5:36:52 time: 0.5840 data_time: 0.0406 memory: 8322 grad_norm: 4.4922 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0857 loss: 1.0857 2022/08/01 05:40:27 - mmengine - INFO - Epoch(train) [68][140/940] lr: 1.0000e-03 eta: 5:36:40 time: 0.7086 data_time: 0.0877 memory: 8322 grad_norm: 4.5060 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1189 loss: 1.1189 2022/08/01 05:40:39 - mmengine - INFO - Epoch(train) [68][160/940] lr: 1.0000e-03 eta: 5:36:26 time: 0.5674 data_time: 0.0939 memory: 8322 grad_norm: 4.6083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0889 loss: 1.0889 2022/08/01 05:40:53 - mmengine - INFO - Epoch(train) [68][180/940] lr: 1.0000e-03 eta: 5:36:13 time: 0.7290 data_time: 0.0669 memory: 8322 grad_norm: 4.5277 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0627 loss: 1.0627 2022/08/01 05:41:06 - mmengine - INFO - Epoch(train) [68][200/940] lr: 1.0000e-03 eta: 5:36:00 time: 0.6107 data_time: 0.0831 memory: 8322 grad_norm: 4.5758 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1220 loss: 1.1220 2022/08/01 05:41:18 - mmengine - INFO - Epoch(train) [68][220/940] lr: 1.0000e-03 eta: 5:35:47 time: 0.6253 data_time: 0.0376 memory: 8322 grad_norm: 4.6928 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0480 loss: 1.0480 2022/08/01 05:41:32 - mmengine - INFO - Epoch(train) [68][240/940] lr: 1.0000e-03 eta: 5:35:34 time: 0.6703 data_time: 0.0433 memory: 8322 grad_norm: 4.6450 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1067 loss: 1.1067 2022/08/01 05:41:44 - mmengine - INFO - Epoch(train) [68][260/940] lr: 1.0000e-03 eta: 5:35:20 time: 0.6251 data_time: 0.0506 memory: 8322 grad_norm: 4.6098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0321 loss: 1.0321 2022/08/01 05:41:58 - mmengine - INFO - Epoch(train) [68][280/940] lr: 1.0000e-03 eta: 5:35:07 time: 0.6834 data_time: 0.0325 memory: 8322 grad_norm: 4.7007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1223 loss: 1.1223 2022/08/01 05:42:10 - mmengine - INFO - Epoch(train) [68][300/940] lr: 1.0000e-03 eta: 5:34:54 time: 0.6100 data_time: 0.0372 memory: 8322 grad_norm: 4.6458 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0852 loss: 1.0852 2022/08/01 05:42:24 - mmengine - INFO - Epoch(train) [68][320/940] lr: 1.0000e-03 eta: 5:34:41 time: 0.6821 data_time: 0.0502 memory: 8322 grad_norm: 4.6353 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1184 loss: 1.1184 2022/08/01 05:42:36 - mmengine - INFO - Epoch(train) [68][340/940] lr: 1.0000e-03 eta: 5:34:28 time: 0.6080 data_time: 0.1052 memory: 8322 grad_norm: 4.7076 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0766 loss: 1.0766 2022/08/01 05:42:49 - mmengine - INFO - Epoch(train) [68][360/940] lr: 1.0000e-03 eta: 5:34:15 time: 0.6670 data_time: 0.0736 memory: 8322 grad_norm: 4.6146 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0763 loss: 1.0763 2022/08/01 05:43:01 - mmengine - INFO - Epoch(train) [68][380/940] lr: 1.0000e-03 eta: 5:34:01 time: 0.5920 data_time: 0.0357 memory: 8322 grad_norm: 4.6640 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.0646 loss: 1.0646 2022/08/01 05:43:15 - mmengine - INFO - Epoch(train) [68][400/940] lr: 1.0000e-03 eta: 5:33:49 time: 0.7232 data_time: 0.0351 memory: 8322 grad_norm: 4.5978 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0742 loss: 1.0742 2022/08/01 05:43:28 - mmengine - INFO - Epoch(train) [68][420/940] lr: 1.0000e-03 eta: 5:33:35 time: 0.6197 data_time: 0.0366 memory: 8322 grad_norm: 4.6183 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0499 loss: 1.0499 2022/08/01 05:43:42 - mmengine - INFO - Epoch(train) [68][440/940] lr: 1.0000e-03 eta: 5:33:22 time: 0.6899 data_time: 0.0320 memory: 8322 grad_norm: 4.5974 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0350 loss: 1.0350 2022/08/01 05:43:53 - mmengine - INFO - Epoch(train) [68][460/940] lr: 1.0000e-03 eta: 5:33:09 time: 0.5812 data_time: 0.0355 memory: 8322 grad_norm: 4.6341 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0890 loss: 1.0890 2022/08/01 05:44:08 - mmengine - INFO - Epoch(train) [68][480/940] lr: 1.0000e-03 eta: 5:32:56 time: 0.7138 data_time: 0.0310 memory: 8322 grad_norm: 4.6201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2217 loss: 1.2217 2022/08/01 05:44:19 - mmengine - INFO - Epoch(train) [68][500/940] lr: 1.0000e-03 eta: 5:32:42 time: 0.5627 data_time: 0.0430 memory: 8322 grad_norm: 4.7253 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1902 loss: 1.1902 2022/08/01 05:44:33 - mmengine - INFO - Epoch(train) [68][520/940] lr: 1.0000e-03 eta: 5:32:29 time: 0.6860 data_time: 0.0356 memory: 8322 grad_norm: 4.5308 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/08/01 05:44:45 - mmengine - INFO - Epoch(train) [68][540/940] lr: 1.0000e-03 eta: 5:32:16 time: 0.6118 data_time: 0.0336 memory: 8322 grad_norm: 4.6182 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1447 loss: 1.1447 2022/08/01 05:44:59 - mmengine - INFO - Epoch(train) [68][560/940] lr: 1.0000e-03 eta: 5:32:03 time: 0.7196 data_time: 0.0352 memory: 8322 grad_norm: 4.6959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1415 loss: 1.1415 2022/08/01 05:45:10 - mmengine - INFO - Epoch(train) [68][580/940] lr: 1.0000e-03 eta: 5:31:49 time: 0.5444 data_time: 0.0594 memory: 8322 grad_norm: 4.5853 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1404 loss: 1.1404 2022/08/01 05:45:26 - mmengine - INFO - Epoch(train) [68][600/940] lr: 1.0000e-03 eta: 5:31:38 time: 0.7850 data_time: 0.0389 memory: 8322 grad_norm: 4.6566 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2137 loss: 1.2137 2022/08/01 05:45:37 - mmengine - INFO - Epoch(train) [68][620/940] lr: 1.0000e-03 eta: 5:31:24 time: 0.5615 data_time: 0.0297 memory: 8322 grad_norm: 4.7055 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1303 loss: 1.1303 2022/08/01 05:45:52 - mmengine - INFO - Epoch(train) [68][640/940] lr: 1.0000e-03 eta: 5:31:11 time: 0.7391 data_time: 0.0342 memory: 8322 grad_norm: 4.5310 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1335 loss: 1.1335 2022/08/01 05:46:03 - mmengine - INFO - Epoch(train) [68][660/940] lr: 1.0000e-03 eta: 5:30:57 time: 0.5689 data_time: 0.0265 memory: 8322 grad_norm: 4.7942 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1367 loss: 1.1367 2022/08/01 05:46:18 - mmengine - INFO - Epoch(train) [68][680/940] lr: 1.0000e-03 eta: 5:30:45 time: 0.7156 data_time: 0.0310 memory: 8322 grad_norm: 4.6893 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1772 loss: 1.1772 2022/08/01 05:46:28 - mmengine - INFO - Epoch(train) [68][700/940] lr: 1.0000e-03 eta: 5:30:31 time: 0.5258 data_time: 0.0251 memory: 8322 grad_norm: 4.6555 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0974 loss: 1.0974 2022/08/01 05:46:43 - mmengine - INFO - Epoch(train) [68][720/940] lr: 1.0000e-03 eta: 5:30:18 time: 0.7511 data_time: 0.0321 memory: 8322 grad_norm: 4.7484 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1866 loss: 1.1866 2022/08/01 05:46:55 - mmengine - INFO - Epoch(train) [68][740/940] lr: 1.0000e-03 eta: 5:30:05 time: 0.5867 data_time: 0.0250 memory: 8322 grad_norm: 4.5932 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1346 loss: 1.1346 2022/08/01 05:47:10 - mmengine - INFO - Epoch(train) [68][760/940] lr: 1.0000e-03 eta: 5:29:53 time: 0.7717 data_time: 0.0317 memory: 8322 grad_norm: 4.6774 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1502 loss: 1.1502 2022/08/01 05:47:21 - mmengine - INFO - Epoch(train) [68][780/940] lr: 1.0000e-03 eta: 5:29:38 time: 0.5190 data_time: 0.0252 memory: 8322 grad_norm: 4.6780 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2495 loss: 1.2495 2022/08/01 05:47:35 - mmengine - INFO - Epoch(train) [68][800/940] lr: 1.0000e-03 eta: 5:29:26 time: 0.7150 data_time: 0.0418 memory: 8322 grad_norm: 4.6542 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1159 loss: 1.1159 2022/08/01 05:47:49 - mmengine - INFO - Epoch(train) [68][820/940] lr: 1.0000e-03 eta: 5:29:13 time: 0.6827 data_time: 0.0340 memory: 8322 grad_norm: 4.6101 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1355 loss: 1.1355 2022/08/01 05:48:01 - mmengine - INFO - Epoch(train) [68][840/940] lr: 1.0000e-03 eta: 5:29:00 time: 0.6109 data_time: 0.0346 memory: 8322 grad_norm: 4.5827 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9212 loss: 0.9212 2022/08/01 05:48:14 - mmengine - INFO - Epoch(train) [68][860/940] lr: 1.0000e-03 eta: 5:28:46 time: 0.6401 data_time: 0.0492 memory: 8322 grad_norm: 4.5814 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9994 loss: 0.9994 2022/08/01 05:48:26 - mmengine - INFO - Epoch(train) [68][880/940] lr: 1.0000e-03 eta: 5:28:33 time: 0.6376 data_time: 0.0339 memory: 8322 grad_norm: 4.6118 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0767 loss: 1.0767 2022/08/01 05:48:40 - mmengine - INFO - Epoch(train) [68][900/940] lr: 1.0000e-03 eta: 5:28:20 time: 0.6929 data_time: 0.0342 memory: 8322 grad_norm: 4.6211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8670 loss: 0.8670 2022/08/01 05:48:52 - mmengine - INFO - Epoch(train) [68][920/940] lr: 1.0000e-03 eta: 5:28:07 time: 0.5818 data_time: 0.0346 memory: 8322 grad_norm: 4.6339 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1664 loss: 1.1664 2022/08/01 05:49:03 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:49:03 - mmengine - INFO - Epoch(train) [68][940/940] lr: 1.0000e-03 eta: 5:27:53 time: 0.5738 data_time: 0.0267 memory: 8322 grad_norm: 4.8183 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1259 loss: 1.1259 2022/08/01 05:49:17 - mmengine - INFO - Epoch(val) [68][20/78] eta: 0:00:39 time: 0.6817 data_time: 0.6170 memory: 1463 2022/08/01 05:49:26 - mmengine - INFO - Epoch(val) [68][40/78] eta: 0:00:16 time: 0.4294 data_time: 0.3646 memory: 1463 2022/08/01 05:49:39 - mmengine - INFO - Epoch(val) [68][60/78] eta: 0:00:11 time: 0.6445 data_time: 0.5800 memory: 1463 2022/08/01 05:49:49 - mmengine - INFO - Epoch(val) [68][78/78] acc/top1: 0.6895 acc/top5: 0.8828 acc/mean1: 0.6894 2022/08/01 05:50:06 - mmengine - INFO - Epoch(train) [69][20/940] lr: 1.0000e-03 eta: 5:27:41 time: 0.8307 data_time: 0.5836 memory: 8322 grad_norm: 4.6431 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0365 loss: 1.0365 2022/08/01 05:50:16 - mmengine - INFO - Epoch(train) [69][40/940] lr: 1.0000e-03 eta: 5:27:27 time: 0.5233 data_time: 0.2857 memory: 8322 grad_norm: 4.5145 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9438 loss: 0.9438 2022/08/01 05:50:31 - mmengine - INFO - Epoch(train) [69][60/940] lr: 1.0000e-03 eta: 5:27:15 time: 0.7447 data_time: 0.3958 memory: 8322 grad_norm: 4.6074 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0609 loss: 1.0609 2022/08/01 05:50:42 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:50:42 - mmengine - INFO - Epoch(train) [69][80/940] lr: 1.0000e-03 eta: 5:27:01 time: 0.5673 data_time: 0.2264 memory: 8322 grad_norm: 4.7229 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0420 loss: 1.0420 2022/08/01 05:50:57 - mmengine - INFO - Epoch(train) [69][100/940] lr: 1.0000e-03 eta: 5:26:48 time: 0.7033 data_time: 0.3577 memory: 8322 grad_norm: 4.6262 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0809 loss: 1.0809 2022/08/01 05:51:08 - mmengine - INFO - Epoch(train) [69][120/940] lr: 1.0000e-03 eta: 5:26:34 time: 0.5720 data_time: 0.2404 memory: 8322 grad_norm: 4.5991 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0952 loss: 1.0952 2022/08/01 05:51:23 - mmengine - INFO - Epoch(train) [69][140/940] lr: 1.0000e-03 eta: 5:26:22 time: 0.7329 data_time: 0.1986 memory: 8322 grad_norm: 4.6001 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0811 loss: 1.0811 2022/08/01 05:51:35 - mmengine - INFO - Epoch(train) [69][160/940] lr: 1.0000e-03 eta: 5:26:09 time: 0.5956 data_time: 0.0291 memory: 8322 grad_norm: 4.4806 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0682 loss: 1.0682 2022/08/01 05:51:48 - mmengine - INFO - Epoch(train) [69][180/940] lr: 1.0000e-03 eta: 5:25:56 time: 0.6774 data_time: 0.0354 memory: 8322 grad_norm: 4.4831 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0402 loss: 1.0402 2022/08/01 05:51:59 - mmengine - INFO - Epoch(train) [69][200/940] lr: 1.0000e-03 eta: 5:25:42 time: 0.5595 data_time: 0.0343 memory: 8322 grad_norm: 4.5979 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0822 loss: 1.0822 2022/08/01 05:52:14 - mmengine - INFO - Epoch(train) [69][220/940] lr: 1.0000e-03 eta: 5:25:29 time: 0.7175 data_time: 0.0978 memory: 8322 grad_norm: 4.6671 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1171 loss: 1.1171 2022/08/01 05:52:26 - mmengine - INFO - Epoch(train) [69][240/940] lr: 1.0000e-03 eta: 5:25:16 time: 0.5890 data_time: 0.1851 memory: 8322 grad_norm: 4.7641 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1596 loss: 1.1596 2022/08/01 05:52:41 - mmengine - INFO - Epoch(train) [69][260/940] lr: 1.0000e-03 eta: 5:25:03 time: 0.7655 data_time: 0.2092 memory: 8322 grad_norm: 4.5832 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0420 loss: 1.0420 2022/08/01 05:52:51 - mmengine - INFO - Epoch(train) [69][280/940] lr: 1.0000e-03 eta: 5:24:49 time: 0.5301 data_time: 0.0736 memory: 8322 grad_norm: 4.5893 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9641 loss: 0.9641 2022/08/01 05:53:06 - mmengine - INFO - Epoch(train) [69][300/940] lr: 1.0000e-03 eta: 5:24:37 time: 0.7238 data_time: 0.1418 memory: 8322 grad_norm: 4.7360 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1396 loss: 1.1396 2022/08/01 05:53:18 - mmengine - INFO - Epoch(train) [69][320/940] lr: 1.0000e-03 eta: 5:24:23 time: 0.5980 data_time: 0.0329 memory: 8322 grad_norm: 4.6823 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2268 loss: 1.2268 2022/08/01 05:53:34 - mmengine - INFO - Epoch(train) [69][340/940] lr: 1.0000e-03 eta: 5:24:12 time: 0.8081 data_time: 0.0337 memory: 8322 grad_norm: 4.5906 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1775 loss: 1.1775 2022/08/01 05:53:45 - mmengine - INFO - Epoch(train) [69][360/940] lr: 1.0000e-03 eta: 5:23:57 time: 0.5391 data_time: 0.0374 memory: 8322 grad_norm: 4.6042 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0882 loss: 1.0882 2022/08/01 05:53:59 - mmengine - INFO - Epoch(train) [69][380/940] lr: 1.0000e-03 eta: 5:23:45 time: 0.6923 data_time: 0.0379 memory: 8322 grad_norm: 4.5101 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0752 loss: 1.0752 2022/08/01 05:54:10 - mmengine - INFO - Epoch(train) [69][400/940] lr: 1.0000e-03 eta: 5:23:31 time: 0.5503 data_time: 0.0389 memory: 8322 grad_norm: 4.6801 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1015 loss: 1.1015 2022/08/01 05:54:24 - mmengine - INFO - Epoch(train) [69][420/940] lr: 1.0000e-03 eta: 5:23:18 time: 0.7176 data_time: 0.0364 memory: 8322 grad_norm: 4.6820 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1544 loss: 1.1544 2022/08/01 05:54:35 - mmengine - INFO - Epoch(train) [69][440/940] lr: 1.0000e-03 eta: 5:23:04 time: 0.5494 data_time: 0.0372 memory: 8322 grad_norm: 4.4963 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.9977 loss: 0.9977 2022/08/01 05:54:50 - mmengine - INFO - Epoch(train) [69][460/940] lr: 1.0000e-03 eta: 5:22:52 time: 0.7358 data_time: 0.0335 memory: 8322 grad_norm: 4.5278 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0519 loss: 1.0519 2022/08/01 05:55:00 - mmengine - INFO - Epoch(train) [69][480/940] lr: 1.0000e-03 eta: 5:22:38 time: 0.5336 data_time: 0.0316 memory: 8322 grad_norm: 4.6722 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0930 loss: 1.0930 2022/08/01 05:55:14 - mmengine - INFO - Epoch(train) [69][500/940] lr: 1.0000e-03 eta: 5:22:25 time: 0.6634 data_time: 0.0347 memory: 8322 grad_norm: 4.6340 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1478 loss: 1.1478 2022/08/01 05:55:25 - mmengine - INFO - Epoch(train) [69][520/940] lr: 1.0000e-03 eta: 5:22:11 time: 0.5833 data_time: 0.1278 memory: 8322 grad_norm: 4.6972 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0594 loss: 1.0594 2022/08/01 05:55:39 - mmengine - INFO - Epoch(train) [69][540/940] lr: 1.0000e-03 eta: 5:21:58 time: 0.6786 data_time: 0.1124 memory: 8322 grad_norm: 4.6299 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0430 loss: 1.0430 2022/08/01 05:55:52 - mmengine - INFO - Epoch(train) [69][560/940] lr: 1.0000e-03 eta: 5:21:45 time: 0.6276 data_time: 0.1486 memory: 8322 grad_norm: 4.6366 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/08/01 05:56:04 - mmengine - INFO - Epoch(train) [69][580/940] lr: 1.0000e-03 eta: 5:21:32 time: 0.6456 data_time: 0.1027 memory: 8322 grad_norm: 4.6367 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1140 loss: 1.1140 2022/08/01 05:56:18 - mmengine - INFO - Epoch(train) [69][600/940] lr: 1.0000e-03 eta: 5:21:19 time: 0.6600 data_time: 0.0520 memory: 8322 grad_norm: 4.6464 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0577 loss: 1.0577 2022/08/01 05:56:30 - mmengine - INFO - Epoch(train) [69][620/940] lr: 1.0000e-03 eta: 5:21:05 time: 0.6082 data_time: 0.0711 memory: 8322 grad_norm: 4.6104 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0430 loss: 1.0430 2022/08/01 05:56:44 - mmengine - INFO - Epoch(train) [69][640/940] lr: 1.0000e-03 eta: 5:20:52 time: 0.6835 data_time: 0.0435 memory: 8322 grad_norm: 4.6717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0331 loss: 1.0331 2022/08/01 05:56:56 - mmengine - INFO - Epoch(train) [69][660/940] lr: 1.0000e-03 eta: 5:20:39 time: 0.6109 data_time: 0.0496 memory: 8322 grad_norm: 4.7044 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1181 loss: 1.1181 2022/08/01 05:57:09 - mmengine - INFO - Epoch(train) [69][680/940] lr: 1.0000e-03 eta: 5:20:26 time: 0.6862 data_time: 0.0431 memory: 8322 grad_norm: 4.6436 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0829 loss: 1.0829 2022/08/01 05:57:22 - mmengine - INFO - Epoch(train) [69][700/940] lr: 1.0000e-03 eta: 5:20:13 time: 0.6272 data_time: 0.0428 memory: 8322 grad_norm: 4.6880 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0905 loss: 1.0905 2022/08/01 05:57:35 - mmengine - INFO - Epoch(train) [69][720/940] lr: 1.0000e-03 eta: 5:20:00 time: 0.6613 data_time: 0.0651 memory: 8322 grad_norm: 4.6564 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0366 loss: 1.0366 2022/08/01 05:57:47 - mmengine - INFO - Epoch(train) [69][740/940] lr: 1.0000e-03 eta: 5:19:46 time: 0.6010 data_time: 0.0465 memory: 8322 grad_norm: 4.6058 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9725 loss: 0.9725 2022/08/01 05:58:01 - mmengine - INFO - Epoch(train) [69][760/940] lr: 1.0000e-03 eta: 5:19:33 time: 0.6715 data_time: 0.0249 memory: 8322 grad_norm: 4.6669 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9878 loss: 0.9878 2022/08/01 05:58:14 - mmengine - INFO - Epoch(train) [69][780/940] lr: 1.0000e-03 eta: 5:19:20 time: 0.6482 data_time: 0.0338 memory: 8322 grad_norm: 4.6634 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0849 loss: 1.0849 2022/08/01 05:58:27 - mmengine - INFO - Epoch(train) [69][800/940] lr: 1.0000e-03 eta: 5:19:07 time: 0.6883 data_time: 0.0280 memory: 8322 grad_norm: 4.7391 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.0786 loss: 1.0786 2022/08/01 05:58:39 - mmengine - INFO - Epoch(train) [69][820/940] lr: 1.0000e-03 eta: 5:18:54 time: 0.5904 data_time: 0.0318 memory: 8322 grad_norm: 4.6485 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1089 loss: 1.1089 2022/08/01 05:58:52 - mmengine - INFO - Epoch(train) [69][840/940] lr: 1.0000e-03 eta: 5:18:40 time: 0.6382 data_time: 0.0848 memory: 8322 grad_norm: 4.6792 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0254 loss: 1.0254 2022/08/01 05:59:06 - mmengine - INFO - Epoch(train) [69][860/940] lr: 1.0000e-03 eta: 5:18:28 time: 0.7195 data_time: 0.4173 memory: 8322 grad_norm: 4.7430 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1354 loss: 1.1354 2022/08/01 05:59:18 - mmengine - INFO - Epoch(train) [69][880/940] lr: 1.0000e-03 eta: 5:18:14 time: 0.5819 data_time: 0.2574 memory: 8322 grad_norm: 4.7117 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0905 loss: 1.0905 2022/08/01 05:59:33 - mmengine - INFO - Epoch(train) [69][900/940] lr: 1.0000e-03 eta: 5:18:02 time: 0.7320 data_time: 0.4917 memory: 8322 grad_norm: 4.7313 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0688 loss: 1.0688 2022/08/01 05:59:44 - mmengine - INFO - Epoch(train) [69][920/940] lr: 1.0000e-03 eta: 5:17:48 time: 0.5692 data_time: 0.3092 memory: 8322 grad_norm: 4.7992 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0419 loss: 1.0419 2022/08/01 05:59:57 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 05:59:57 - mmengine - INFO - Epoch(train) [69][940/940] lr: 1.0000e-03 eta: 5:17:35 time: 0.6419 data_time: 0.4266 memory: 8322 grad_norm: 4.9796 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9936 loss: 0.9936 2022/08/01 05:59:57 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/08/01 06:00:14 - mmengine - INFO - Epoch(val) [69][20/78] eta: 0:00:45 time: 0.7851 data_time: 0.7241 memory: 1463 2022/08/01 06:00:23 - mmengine - INFO - Epoch(val) [69][40/78] eta: 0:00:16 time: 0.4360 data_time: 0.3741 memory: 1463 2022/08/01 06:00:36 - mmengine - INFO - Epoch(val) [69][60/78] eta: 0:00:11 time: 0.6424 data_time: 0.5804 memory: 1463 2022/08/01 06:00:46 - mmengine - INFO - Epoch(val) [69][78/78] acc/top1: 0.6882 acc/top5: 0.8844 acc/mean1: 0.6881 2022/08/01 06:01:02 - mmengine - INFO - Epoch(train) [70][20/940] lr: 1.0000e-03 eta: 5:17:23 time: 0.8059 data_time: 0.4535 memory: 8322 grad_norm: 4.7491 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1633 loss: 1.1633 2022/08/01 06:01:13 - mmengine - INFO - Epoch(train) [70][40/940] lr: 1.0000e-03 eta: 5:17:09 time: 0.5603 data_time: 0.1661 memory: 8322 grad_norm: 4.6040 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.1437 loss: 1.1437 2022/08/01 06:01:28 - mmengine - INFO - Epoch(train) [70][60/940] lr: 1.0000e-03 eta: 5:16:57 time: 0.7501 data_time: 0.1331 memory: 8322 grad_norm: 4.6778 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1391 loss: 1.1391 2022/08/01 06:01:39 - mmengine - INFO - Epoch(train) [70][80/940] lr: 1.0000e-03 eta: 5:16:43 time: 0.5437 data_time: 0.0760 memory: 8322 grad_norm: 4.6461 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/08/01 06:01:54 - mmengine - INFO - Epoch(train) [70][100/940] lr: 1.0000e-03 eta: 5:16:31 time: 0.7557 data_time: 0.1268 memory: 8322 grad_norm: 4.5591 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0145 loss: 1.0145 2022/08/01 06:02:06 - mmengine - INFO - Epoch(train) [70][120/940] lr: 1.0000e-03 eta: 5:16:17 time: 0.5743 data_time: 0.0699 memory: 8322 grad_norm: 4.7120 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0275 loss: 1.0275 2022/08/01 06:02:20 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:02:20 - mmengine - INFO - Epoch(train) [70][140/940] lr: 1.0000e-03 eta: 5:16:04 time: 0.7050 data_time: 0.0928 memory: 8322 grad_norm: 4.4662 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9663 loss: 0.9663 2022/08/01 06:02:32 - mmengine - INFO - Epoch(train) [70][160/940] lr: 1.0000e-03 eta: 5:15:51 time: 0.6127 data_time: 0.0607 memory: 8322 grad_norm: 4.6293 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1237 loss: 1.1237 2022/08/01 06:02:46 - mmengine - INFO - Epoch(train) [70][180/940] lr: 1.0000e-03 eta: 5:15:38 time: 0.7122 data_time: 0.2682 memory: 8322 grad_norm: 4.6452 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1217 loss: 1.1217 2022/08/01 06:02:58 - mmengine - INFO - Epoch(train) [70][200/940] lr: 1.0000e-03 eta: 5:15:24 time: 0.5714 data_time: 0.3085 memory: 8322 grad_norm: 4.6650 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1059 loss: 1.1059 2022/08/01 06:03:13 - mmengine - INFO - Epoch(train) [70][220/940] lr: 1.0000e-03 eta: 5:15:12 time: 0.7578 data_time: 0.3257 memory: 8322 grad_norm: 4.6249 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0500 loss: 1.0500 2022/08/01 06:03:24 - mmengine - INFO - Epoch(train) [70][240/940] lr: 1.0000e-03 eta: 5:14:58 time: 0.5469 data_time: 0.2911 memory: 8322 grad_norm: 4.7072 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1364 loss: 1.1364 2022/08/01 06:03:39 - mmengine - INFO - Epoch(train) [70][260/940] lr: 1.0000e-03 eta: 5:14:46 time: 0.7695 data_time: 0.5063 memory: 8322 grad_norm: 4.6815 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0477 loss: 1.0477 2022/08/01 06:03:49 - mmengine - INFO - Epoch(train) [70][280/940] lr: 1.0000e-03 eta: 5:14:32 time: 0.4952 data_time: 0.2418 memory: 8322 grad_norm: 4.6051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1385 loss: 1.1385 2022/08/01 06:04:03 - mmengine - INFO - Epoch(train) [70][300/940] lr: 1.0000e-03 eta: 5:14:19 time: 0.6993 data_time: 0.3484 memory: 8322 grad_norm: 4.7074 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0995 loss: 1.0995 2022/08/01 06:04:14 - mmengine - INFO - Epoch(train) [70][320/940] lr: 1.0000e-03 eta: 5:14:05 time: 0.5693 data_time: 0.2685 memory: 8322 grad_norm: 4.6494 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0961 loss: 1.0961 2022/08/01 06:04:30 - mmengine - INFO - Epoch(train) [70][340/940] lr: 1.0000e-03 eta: 5:13:53 time: 0.7703 data_time: 0.4943 memory: 8322 grad_norm: 4.6763 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1124 loss: 1.1124 2022/08/01 06:04:41 - mmengine - INFO - Epoch(train) [70][360/940] lr: 1.0000e-03 eta: 5:13:39 time: 0.5748 data_time: 0.3168 memory: 8322 grad_norm: 4.6591 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/01 06:04:56 - mmengine - INFO - Epoch(train) [70][380/940] lr: 1.0000e-03 eta: 5:13:27 time: 0.7525 data_time: 0.5231 memory: 8322 grad_norm: 4.6560 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1009 loss: 1.1009 2022/08/01 06:05:08 - mmengine - INFO - Epoch(train) [70][400/940] lr: 1.0000e-03 eta: 5:13:13 time: 0.5622 data_time: 0.3391 memory: 8322 grad_norm: 4.6338 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.0710 loss: 1.0710 2022/08/01 06:05:23 - mmengine - INFO - Epoch(train) [70][420/940] lr: 1.0000e-03 eta: 5:13:01 time: 0.7664 data_time: 0.4714 memory: 8322 grad_norm: 4.6948 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0938 loss: 1.0938 2022/08/01 06:05:34 - mmengine - INFO - Epoch(train) [70][440/940] lr: 1.0000e-03 eta: 5:12:47 time: 0.5544 data_time: 0.2020 memory: 8322 grad_norm: 4.6986 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0578 loss: 1.0578 2022/08/01 06:05:49 - mmengine - INFO - Epoch(train) [70][460/940] lr: 1.0000e-03 eta: 5:12:35 time: 0.7458 data_time: 0.1504 memory: 8322 grad_norm: 4.7171 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0024 loss: 1.0024 2022/08/01 06:06:00 - mmengine - INFO - Epoch(train) [70][480/940] lr: 1.0000e-03 eta: 5:12:21 time: 0.5585 data_time: 0.0299 memory: 8322 grad_norm: 4.7095 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0364 loss: 1.0364 2022/08/01 06:06:14 - mmengine - INFO - Epoch(train) [70][500/940] lr: 1.0000e-03 eta: 5:12:08 time: 0.6785 data_time: 0.0308 memory: 8322 grad_norm: 4.6572 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0567 loss: 1.0567 2022/08/01 06:06:25 - mmengine - INFO - Epoch(train) [70][520/940] lr: 1.0000e-03 eta: 5:11:54 time: 0.5546 data_time: 0.0343 memory: 8322 grad_norm: 4.6765 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1011 loss: 1.1011 2022/08/01 06:06:39 - mmengine - INFO - Epoch(train) [70][540/940] lr: 1.0000e-03 eta: 5:11:42 time: 0.7238 data_time: 0.0799 memory: 8322 grad_norm: 4.6265 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0789 loss: 1.0789 2022/08/01 06:06:51 - mmengine - INFO - Epoch(train) [70][560/940] lr: 1.0000e-03 eta: 5:11:28 time: 0.5634 data_time: 0.0744 memory: 8322 grad_norm: 4.6719 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0260 loss: 1.0260 2022/08/01 06:07:05 - mmengine - INFO - Epoch(train) [70][580/940] lr: 1.0000e-03 eta: 5:11:15 time: 0.7110 data_time: 0.0349 memory: 8322 grad_norm: 4.7016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9561 loss: 0.9561 2022/08/01 06:07:16 - mmengine - INFO - Epoch(train) [70][600/940] lr: 1.0000e-03 eta: 5:11:01 time: 0.5378 data_time: 0.1113 memory: 8322 grad_norm: 4.7062 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0275 loss: 1.0275 2022/08/01 06:07:31 - mmengine - INFO - Epoch(train) [70][620/940] lr: 1.0000e-03 eta: 5:10:49 time: 0.7561 data_time: 0.1997 memory: 8322 grad_norm: 4.5381 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1682 loss: 1.1682 2022/08/01 06:07:43 - mmengine - INFO - Epoch(train) [70][640/940] lr: 1.0000e-03 eta: 5:10:35 time: 0.6007 data_time: 0.1463 memory: 8322 grad_norm: 4.6700 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0720 loss: 1.0720 2022/08/01 06:07:57 - mmengine - INFO - Epoch(train) [70][660/940] lr: 1.0000e-03 eta: 5:10:23 time: 0.7241 data_time: 0.2269 memory: 8322 grad_norm: 4.6896 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1247 loss: 1.1247 2022/08/01 06:08:08 - mmengine - INFO - Epoch(train) [70][680/940] lr: 1.0000e-03 eta: 5:10:09 time: 0.5488 data_time: 0.1825 memory: 8322 grad_norm: 4.6901 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0725 loss: 1.0725 2022/08/01 06:08:22 - mmengine - INFO - Epoch(train) [70][700/940] lr: 1.0000e-03 eta: 5:09:56 time: 0.6819 data_time: 0.2997 memory: 8322 grad_norm: 4.7323 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1181 loss: 1.1181 2022/08/01 06:08:34 - mmengine - INFO - Epoch(train) [70][720/940] lr: 1.0000e-03 eta: 5:09:43 time: 0.6341 data_time: 0.1302 memory: 8322 grad_norm: 4.7965 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0386 loss: 1.0386 2022/08/01 06:08:48 - mmengine - INFO - Epoch(train) [70][740/940] lr: 1.0000e-03 eta: 5:09:30 time: 0.6621 data_time: 0.1904 memory: 8322 grad_norm: 4.7547 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1384 loss: 1.1384 2022/08/01 06:09:01 - mmengine - INFO - Epoch(train) [70][760/940] lr: 1.0000e-03 eta: 5:09:17 time: 0.6378 data_time: 0.1477 memory: 8322 grad_norm: 4.6380 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1110 loss: 1.1110 2022/08/01 06:09:13 - mmengine - INFO - Epoch(train) [70][780/940] lr: 1.0000e-03 eta: 5:09:03 time: 0.6108 data_time: 0.1113 memory: 8322 grad_norm: 4.7078 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.1977 loss: 1.1977 2022/08/01 06:09:26 - mmengine - INFO - Epoch(train) [70][800/940] lr: 1.0000e-03 eta: 5:08:50 time: 0.6670 data_time: 0.0776 memory: 8322 grad_norm: 4.6399 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1213 loss: 1.1213 2022/08/01 06:09:39 - mmengine - INFO - Epoch(train) [70][820/940] lr: 1.0000e-03 eta: 5:08:37 time: 0.6507 data_time: 0.1293 memory: 8322 grad_norm: 4.6675 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0282 loss: 1.0282 2022/08/01 06:09:51 - mmengine - INFO - Epoch(train) [70][840/940] lr: 1.0000e-03 eta: 5:08:24 time: 0.5979 data_time: 0.1994 memory: 8322 grad_norm: 4.7064 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0532 loss: 1.0532 2022/08/01 06:10:04 - mmengine - INFO - Epoch(train) [70][860/940] lr: 1.0000e-03 eta: 5:08:10 time: 0.6258 data_time: 0.2690 memory: 8322 grad_norm: 4.7118 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0504 loss: 1.0504 2022/08/01 06:10:17 - mmengine - INFO - Epoch(train) [70][880/940] lr: 1.0000e-03 eta: 5:07:57 time: 0.6572 data_time: 0.1711 memory: 8322 grad_norm: 4.6811 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0941 loss: 1.0941 2022/08/01 06:10:29 - mmengine - INFO - Epoch(train) [70][900/940] lr: 1.0000e-03 eta: 5:07:44 time: 0.6215 data_time: 0.1657 memory: 8322 grad_norm: 4.5525 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0180 loss: 1.0180 2022/08/01 06:10:41 - mmengine - INFO - Epoch(train) [70][920/940] lr: 1.0000e-03 eta: 5:07:31 time: 0.6151 data_time: 0.2048 memory: 8322 grad_norm: 4.7186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1250 loss: 1.1250 2022/08/01 06:10:53 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:10:53 - mmengine - INFO - Epoch(train) [70][940/940] lr: 1.0000e-03 eta: 5:07:17 time: 0.5852 data_time: 0.2742 memory: 8322 grad_norm: 5.1056 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.1265 loss: 1.1265 2022/08/01 06:11:07 - mmengine - INFO - Epoch(val) [70][20/78] eta: 0:00:39 time: 0.6789 data_time: 0.6113 memory: 1463 2022/08/01 06:11:15 - mmengine - INFO - Epoch(val) [70][40/78] eta: 0:00:16 time: 0.4262 data_time: 0.3637 memory: 1463 2022/08/01 06:11:28 - mmengine - INFO - Epoch(val) [70][60/78] eta: 0:00:11 time: 0.6268 data_time: 0.5613 memory: 1463 2022/08/01 06:11:39 - mmengine - INFO - Epoch(val) [70][78/78] acc/top1: 0.6906 acc/top5: 0.8832 acc/mean1: 0.6905 2022/08/01 06:11:55 - mmengine - INFO - Epoch(train) [71][20/940] lr: 1.0000e-03 eta: 5:07:05 time: 0.8112 data_time: 0.4678 memory: 8322 grad_norm: 4.6569 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0192 loss: 1.0192 2022/08/01 06:12:06 - mmengine - INFO - Epoch(train) [71][40/940] lr: 1.0000e-03 eta: 5:06:51 time: 0.5501 data_time: 0.1677 memory: 8322 grad_norm: 4.5710 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1207 loss: 1.1207 2022/08/01 06:12:22 - mmengine - INFO - Epoch(train) [71][60/940] lr: 1.0000e-03 eta: 5:06:39 time: 0.7827 data_time: 0.1385 memory: 8322 grad_norm: 4.7017 top1_acc: 0.7188 top5_acc: 0.7500 loss_cls: 1.0828 loss: 1.0828 2022/08/01 06:12:33 - mmengine - INFO - Epoch(train) [71][80/940] lr: 1.0000e-03 eta: 5:06:25 time: 0.5735 data_time: 0.0291 memory: 8322 grad_norm: 4.7071 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/08/01 06:12:49 - mmengine - INFO - Epoch(train) [71][100/940] lr: 1.0000e-03 eta: 5:06:13 time: 0.7542 data_time: 0.0457 memory: 8322 grad_norm: 4.5922 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1134 loss: 1.1134 2022/08/01 06:13:00 - mmengine - INFO - Epoch(train) [71][120/940] lr: 1.0000e-03 eta: 5:05:59 time: 0.5605 data_time: 0.0309 memory: 8322 grad_norm: 4.7333 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0240 loss: 1.0240 2022/08/01 06:13:14 - mmengine - INFO - Epoch(train) [71][140/940] lr: 1.0000e-03 eta: 5:05:47 time: 0.7205 data_time: 0.0338 memory: 8322 grad_norm: 4.6836 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 1.0994 loss: 1.0994 2022/08/01 06:13:24 - mmengine - INFO - Epoch(train) [71][160/940] lr: 1.0000e-03 eta: 5:05:33 time: 0.5149 data_time: 0.0389 memory: 8322 grad_norm: 4.6051 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0847 loss: 1.0847 2022/08/01 06:13:40 - mmengine - INFO - Epoch(train) [71][180/940] lr: 1.0000e-03 eta: 5:05:20 time: 0.7610 data_time: 0.0394 memory: 8322 grad_norm: 4.5614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0336 loss: 1.0336 2022/08/01 06:13:51 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:13:51 - mmengine - INFO - Epoch(train) [71][200/940] lr: 1.0000e-03 eta: 5:05:07 time: 0.5598 data_time: 0.0405 memory: 8322 grad_norm: 4.5839 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0229 loss: 1.0229 2022/08/01 06:14:06 - mmengine - INFO - Epoch(train) [71][220/940] lr: 1.0000e-03 eta: 5:04:54 time: 0.7324 data_time: 0.0402 memory: 8322 grad_norm: 4.6372 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0644 loss: 1.0644 2022/08/01 06:14:17 - mmengine - INFO - Epoch(train) [71][240/940] lr: 1.0000e-03 eta: 5:04:40 time: 0.5902 data_time: 0.0399 memory: 8322 grad_norm: 4.7534 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0749 loss: 1.0749 2022/08/01 06:14:31 - mmengine - INFO - Epoch(train) [71][260/940] lr: 1.0000e-03 eta: 5:04:28 time: 0.6992 data_time: 0.0479 memory: 8322 grad_norm: 4.6291 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1465 loss: 1.1465 2022/08/01 06:14:43 - mmengine - INFO - Epoch(train) [71][280/940] lr: 1.0000e-03 eta: 5:04:14 time: 0.5710 data_time: 0.0394 memory: 8322 grad_norm: 4.7444 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1075 loss: 1.1075 2022/08/01 06:14:57 - mmengine - INFO - Epoch(train) [71][300/940] lr: 1.0000e-03 eta: 5:04:01 time: 0.7192 data_time: 0.0376 memory: 8322 grad_norm: 4.5809 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0194 loss: 1.0194 2022/08/01 06:15:09 - mmengine - INFO - Epoch(train) [71][320/940] lr: 1.0000e-03 eta: 5:03:48 time: 0.5989 data_time: 0.0442 memory: 8322 grad_norm: 4.6148 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0264 loss: 1.0264 2022/08/01 06:15:23 - mmengine - INFO - Epoch(train) [71][340/940] lr: 1.0000e-03 eta: 5:03:35 time: 0.6607 data_time: 0.0372 memory: 8322 grad_norm: 4.7481 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0134 loss: 1.0134 2022/08/01 06:15:33 - mmengine - INFO - Epoch(train) [71][360/940] lr: 1.0000e-03 eta: 5:03:21 time: 0.5485 data_time: 0.0566 memory: 8322 grad_norm: 4.6486 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0956 loss: 1.0956 2022/08/01 06:15:48 - mmengine - INFO - Epoch(train) [71][380/940] lr: 1.0000e-03 eta: 5:03:09 time: 0.7504 data_time: 0.0361 memory: 8322 grad_norm: 4.7201 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0301 loss: 1.0301 2022/08/01 06:16:00 - mmengine - INFO - Epoch(train) [71][400/940] lr: 1.0000e-03 eta: 5:02:55 time: 0.5947 data_time: 0.0425 memory: 8322 grad_norm: 4.7025 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0013 loss: 1.0013 2022/08/01 06:16:14 - mmengine - INFO - Epoch(train) [71][420/940] lr: 1.0000e-03 eta: 5:02:42 time: 0.6904 data_time: 0.0351 memory: 8322 grad_norm: 4.5949 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1456 loss: 1.1456 2022/08/01 06:16:26 - mmengine - INFO - Epoch(train) [71][440/940] lr: 1.0000e-03 eta: 5:02:29 time: 0.5817 data_time: 0.0380 memory: 8322 grad_norm: 4.6288 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0734 loss: 1.0734 2022/08/01 06:16:40 - mmengine - INFO - Epoch(train) [71][460/940] lr: 1.0000e-03 eta: 5:02:16 time: 0.7057 data_time: 0.0326 memory: 8322 grad_norm: 4.6098 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0112 loss: 1.0112 2022/08/01 06:16:52 - mmengine - INFO - Epoch(train) [71][480/940] lr: 1.0000e-03 eta: 5:02:03 time: 0.6113 data_time: 0.0383 memory: 8322 grad_norm: 4.6673 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1451 loss: 1.1451 2022/08/01 06:17:06 - mmengine - INFO - Epoch(train) [71][500/940] lr: 1.0000e-03 eta: 5:01:50 time: 0.7185 data_time: 0.0373 memory: 8322 grad_norm: 4.6106 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0712 loss: 1.0712 2022/08/01 06:17:17 - mmengine - INFO - Epoch(train) [71][520/940] lr: 1.0000e-03 eta: 5:01:36 time: 0.5261 data_time: 0.0287 memory: 8322 grad_norm: 4.7254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1811 loss: 1.1811 2022/08/01 06:17:30 - mmengine - INFO - Epoch(train) [71][540/940] lr: 1.0000e-03 eta: 5:01:23 time: 0.6677 data_time: 0.0387 memory: 8322 grad_norm: 4.7564 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1094 loss: 1.1094 2022/08/01 06:17:43 - mmengine - INFO - Epoch(train) [71][560/940] lr: 1.0000e-03 eta: 5:01:10 time: 0.6203 data_time: 0.0357 memory: 8322 grad_norm: 4.6471 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0880 loss: 1.0880 2022/08/01 06:17:58 - mmengine - INFO - Epoch(train) [71][580/940] lr: 1.0000e-03 eta: 5:00:57 time: 0.7630 data_time: 0.0482 memory: 8322 grad_norm: 4.8006 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.0980 loss: 1.0980 2022/08/01 06:18:09 - mmengine - INFO - Epoch(train) [71][600/940] lr: 1.0000e-03 eta: 5:00:44 time: 0.5509 data_time: 0.0341 memory: 8322 grad_norm: 4.6430 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0714 loss: 1.0714 2022/08/01 06:18:23 - mmengine - INFO - Epoch(train) [71][620/940] lr: 1.0000e-03 eta: 5:00:31 time: 0.7152 data_time: 0.0338 memory: 8322 grad_norm: 4.7256 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9942 loss: 0.9942 2022/08/01 06:18:34 - mmengine - INFO - Epoch(train) [71][640/940] lr: 1.0000e-03 eta: 5:00:17 time: 0.5452 data_time: 0.0376 memory: 8322 grad_norm: 4.7521 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1161 loss: 1.1161 2022/08/01 06:18:49 - mmengine - INFO - Epoch(train) [71][660/940] lr: 1.0000e-03 eta: 5:00:05 time: 0.7530 data_time: 0.0398 memory: 8322 grad_norm: 4.5633 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0141 loss: 1.0141 2022/08/01 06:19:00 - mmengine - INFO - Epoch(train) [71][680/940] lr: 1.0000e-03 eta: 4:59:51 time: 0.5577 data_time: 0.0420 memory: 8322 grad_norm: 4.7740 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0492 loss: 1.0492 2022/08/01 06:19:14 - mmengine - INFO - Epoch(train) [71][700/940] lr: 1.0000e-03 eta: 4:59:38 time: 0.6998 data_time: 0.0339 memory: 8322 grad_norm: 4.6231 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0830 loss: 1.0830 2022/08/01 06:19:26 - mmengine - INFO - Epoch(train) [71][720/940] lr: 1.0000e-03 eta: 4:59:24 time: 0.5582 data_time: 0.0316 memory: 8322 grad_norm: 4.6214 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0901 loss: 1.0901 2022/08/01 06:19:41 - mmengine - INFO - Epoch(train) [71][740/940] lr: 1.0000e-03 eta: 4:59:12 time: 0.7585 data_time: 0.0280 memory: 8322 grad_norm: 4.7409 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0679 loss: 1.0679 2022/08/01 06:19:52 - mmengine - INFO - Epoch(train) [71][760/940] lr: 1.0000e-03 eta: 4:58:58 time: 0.5528 data_time: 0.0334 memory: 8322 grad_norm: 4.7582 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1320 loss: 1.1320 2022/08/01 06:20:06 - mmengine - INFO - Epoch(train) [71][780/940] lr: 1.0000e-03 eta: 4:58:45 time: 0.6967 data_time: 0.0303 memory: 8322 grad_norm: 4.7890 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1128 loss: 1.1128 2022/08/01 06:20:17 - mmengine - INFO - Epoch(train) [71][800/940] lr: 1.0000e-03 eta: 4:58:32 time: 0.5565 data_time: 0.0318 memory: 8322 grad_norm: 4.7131 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1287 loss: 1.1287 2022/08/01 06:20:31 - mmengine - INFO - Epoch(train) [71][820/940] lr: 1.0000e-03 eta: 4:58:19 time: 0.6916 data_time: 0.0464 memory: 8322 grad_norm: 4.7135 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1420 loss: 1.1420 2022/08/01 06:20:44 - mmengine - INFO - Epoch(train) [71][840/940] lr: 1.0000e-03 eta: 4:58:06 time: 0.6421 data_time: 0.0299 memory: 8322 grad_norm: 4.8983 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1742 loss: 1.1742 2022/08/01 06:20:57 - mmengine - INFO - Epoch(train) [71][860/940] lr: 1.0000e-03 eta: 4:57:53 time: 0.6563 data_time: 0.0380 memory: 8322 grad_norm: 4.7218 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1502 loss: 1.1502 2022/08/01 06:21:11 - mmengine - INFO - Epoch(train) [71][880/940] lr: 1.0000e-03 eta: 4:57:40 time: 0.7012 data_time: 0.0338 memory: 8322 grad_norm: 4.6619 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1415 loss: 1.1415 2022/08/01 06:21:23 - mmengine - INFO - Epoch(train) [71][900/940] lr: 1.0000e-03 eta: 4:57:26 time: 0.6009 data_time: 0.0418 memory: 8322 grad_norm: 4.7036 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.1161 loss: 1.1161 2022/08/01 06:21:36 - mmengine - INFO - Epoch(train) [71][920/940] lr: 1.0000e-03 eta: 4:57:13 time: 0.6497 data_time: 0.0352 memory: 8322 grad_norm: 4.5896 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1273 loss: 1.1273 2022/08/01 06:21:47 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:21:47 - mmengine - INFO - Epoch(train) [71][940/940] lr: 1.0000e-03 eta: 4:56:59 time: 0.5342 data_time: 0.0276 memory: 8322 grad_norm: 4.8659 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1093 loss: 1.1093 2022/08/01 06:22:01 - mmengine - INFO - Epoch(val) [71][20/78] eta: 0:00:42 time: 0.7324 data_time: 0.6680 memory: 1463 2022/08/01 06:22:10 - mmengine - INFO - Epoch(val) [71][40/78] eta: 0:00:17 time: 0.4491 data_time: 0.3737 memory: 1463 2022/08/01 06:22:23 - mmengine - INFO - Epoch(val) [71][60/78] eta: 0:00:11 time: 0.6280 data_time: 0.5649 memory: 1463 2022/08/01 06:22:33 - mmengine - INFO - Epoch(val) [71][78/78] acc/top1: 0.6893 acc/top5: 0.8822 acc/mean1: 0.6892 2022/08/01 06:22:49 - mmengine - INFO - Epoch(train) [72][20/940] lr: 1.0000e-03 eta: 4:56:48 time: 0.8221 data_time: 0.3719 memory: 8322 grad_norm: 4.7872 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1026 loss: 1.1026 2022/08/01 06:23:00 - mmengine - INFO - Epoch(train) [72][40/940] lr: 1.0000e-03 eta: 4:56:34 time: 0.5619 data_time: 0.1518 memory: 8322 grad_norm: 4.7401 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0989 loss: 1.0989 2022/08/01 06:23:16 - mmengine - INFO - Epoch(train) [72][60/940] lr: 1.0000e-03 eta: 4:56:22 time: 0.7958 data_time: 0.1309 memory: 8322 grad_norm: 4.6956 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2530 loss: 1.2530 2022/08/01 06:23:27 - mmengine - INFO - Epoch(train) [72][80/940] lr: 1.0000e-03 eta: 4:56:08 time: 0.5253 data_time: 0.0347 memory: 8322 grad_norm: 4.6663 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0552 loss: 1.0552 2022/08/01 06:23:41 - mmengine - INFO - Epoch(train) [72][100/940] lr: 1.0000e-03 eta: 4:55:55 time: 0.7252 data_time: 0.0349 memory: 8322 grad_norm: 4.7876 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1670 loss: 1.1670 2022/08/01 06:23:52 - mmengine - INFO - Epoch(train) [72][120/940] lr: 1.0000e-03 eta: 4:55:41 time: 0.5464 data_time: 0.0343 memory: 8322 grad_norm: 4.7127 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2059 loss: 1.2059 2022/08/01 06:24:07 - mmengine - INFO - Epoch(train) [72][140/940] lr: 1.0000e-03 eta: 4:55:29 time: 0.7234 data_time: 0.0495 memory: 8322 grad_norm: 4.6895 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1267 loss: 1.1267 2022/08/01 06:24:18 - mmengine - INFO - Epoch(train) [72][160/940] lr: 1.0000e-03 eta: 4:55:15 time: 0.5490 data_time: 0.0350 memory: 8322 grad_norm: 4.6005 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0132 loss: 1.0132 2022/08/01 06:24:32 - mmengine - INFO - Epoch(train) [72][180/940] lr: 1.0000e-03 eta: 4:55:02 time: 0.7384 data_time: 0.0395 memory: 8322 grad_norm: 4.6105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0097 loss: 1.0097 2022/08/01 06:24:43 - mmengine - INFO - Epoch(train) [72][200/940] lr: 1.0000e-03 eta: 4:54:48 time: 0.5452 data_time: 0.0299 memory: 8322 grad_norm: 4.7844 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1404 loss: 1.1404 2022/08/01 06:24:58 - mmengine - INFO - Epoch(train) [72][220/940] lr: 1.0000e-03 eta: 4:54:36 time: 0.7145 data_time: 0.0344 memory: 8322 grad_norm: 4.5850 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0269 loss: 1.0269 2022/08/01 06:25:10 - mmengine - INFO - Epoch(train) [72][240/940] lr: 1.0000e-03 eta: 4:54:22 time: 0.5967 data_time: 0.0389 memory: 8322 grad_norm: 4.7419 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1113 loss: 1.1113 2022/08/01 06:25:23 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:25:23 - mmengine - INFO - Epoch(train) [72][260/940] lr: 1.0000e-03 eta: 4:54:09 time: 0.6699 data_time: 0.0605 memory: 8322 grad_norm: 4.7466 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0003 loss: 1.0003 2022/08/01 06:25:34 - mmengine - INFO - Epoch(train) [72][280/940] lr: 1.0000e-03 eta: 4:53:55 time: 0.5399 data_time: 0.0827 memory: 8322 grad_norm: 4.7271 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0315 loss: 1.0315 2022/08/01 06:25:48 - mmengine - INFO - Epoch(train) [72][300/940] lr: 1.0000e-03 eta: 4:53:43 time: 0.7134 data_time: 0.0347 memory: 8322 grad_norm: 4.6103 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.0141 loss: 1.0141 2022/08/01 06:26:00 - mmengine - INFO - Epoch(train) [72][320/940] lr: 1.0000e-03 eta: 4:53:29 time: 0.5770 data_time: 0.0383 memory: 8322 grad_norm: 4.7696 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0592 loss: 1.0592 2022/08/01 06:26:13 - mmengine - INFO - Epoch(train) [72][340/940] lr: 1.0000e-03 eta: 4:53:16 time: 0.6859 data_time: 0.1037 memory: 8322 grad_norm: 4.5387 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.1208 loss: 1.1208 2022/08/01 06:26:26 - mmengine - INFO - Epoch(train) [72][360/940] lr: 1.0000e-03 eta: 4:53:03 time: 0.6198 data_time: 0.2871 memory: 8322 grad_norm: 4.5524 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0690 loss: 1.0690 2022/08/01 06:26:40 - mmengine - INFO - Epoch(train) [72][380/940] lr: 1.0000e-03 eta: 4:52:50 time: 0.6949 data_time: 0.1099 memory: 8322 grad_norm: 4.7510 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0945 loss: 1.0945 2022/08/01 06:26:53 - mmengine - INFO - Epoch(train) [72][400/940] lr: 1.0000e-03 eta: 4:52:37 time: 0.6556 data_time: 0.3334 memory: 8322 grad_norm: 4.7028 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0621 loss: 1.0621 2022/08/01 06:27:06 - mmengine - INFO - Epoch(train) [72][420/940] lr: 1.0000e-03 eta: 4:52:24 time: 0.6399 data_time: 0.2068 memory: 8322 grad_norm: 4.7030 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1520 loss: 1.1520 2022/08/01 06:27:18 - mmengine - INFO - Epoch(train) [72][440/940] lr: 1.0000e-03 eta: 4:52:11 time: 0.6039 data_time: 0.1566 memory: 8322 grad_norm: 4.6634 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0355 loss: 1.0355 2022/08/01 06:27:32 - mmengine - INFO - Epoch(train) [72][460/940] lr: 1.0000e-03 eta: 4:51:58 time: 0.7072 data_time: 0.0321 memory: 8322 grad_norm: 4.7374 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3107 loss: 1.3107 2022/08/01 06:27:43 - mmengine - INFO - Epoch(train) [72][480/940] lr: 1.0000e-03 eta: 4:51:44 time: 0.5786 data_time: 0.0365 memory: 8322 grad_norm: 4.6826 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0086 loss: 1.0086 2022/08/01 06:27:58 - mmengine - INFO - Epoch(train) [72][500/940] lr: 1.0000e-03 eta: 4:51:32 time: 0.7268 data_time: 0.0310 memory: 8322 grad_norm: 4.6814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0653 loss: 1.0653 2022/08/01 06:28:10 - mmengine - INFO - Epoch(train) [72][520/940] lr: 1.0000e-03 eta: 4:51:18 time: 0.5813 data_time: 0.0351 memory: 8322 grad_norm: 4.8261 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1163 loss: 1.1163 2022/08/01 06:28:23 - mmengine - INFO - Epoch(train) [72][540/940] lr: 1.0000e-03 eta: 4:51:05 time: 0.6497 data_time: 0.0376 memory: 8322 grad_norm: 4.5206 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0106 loss: 1.0106 2022/08/01 06:28:34 - mmengine - INFO - Epoch(train) [72][560/940] lr: 1.0000e-03 eta: 4:50:51 time: 0.5683 data_time: 0.0358 memory: 8322 grad_norm: 4.5934 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0810 loss: 1.0810 2022/08/01 06:28:48 - mmengine - INFO - Epoch(train) [72][580/940] lr: 1.0000e-03 eta: 4:50:38 time: 0.6925 data_time: 0.1231 memory: 8322 grad_norm: 4.6170 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9809 loss: 0.9809 2022/08/01 06:29:00 - mmengine - INFO - Epoch(train) [72][600/940] lr: 1.0000e-03 eta: 4:50:25 time: 0.5873 data_time: 0.0784 memory: 8322 grad_norm: 4.6343 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0624 loss: 1.0624 2022/08/01 06:29:13 - mmengine - INFO - Epoch(train) [72][620/940] lr: 1.0000e-03 eta: 4:50:12 time: 0.6584 data_time: 0.0385 memory: 8322 grad_norm: 4.7810 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 0.9672 loss: 0.9672 2022/08/01 06:29:25 - mmengine - INFO - Epoch(train) [72][640/940] lr: 1.0000e-03 eta: 4:49:59 time: 0.6388 data_time: 0.0821 memory: 8322 grad_norm: 4.7590 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1448 loss: 1.1448 2022/08/01 06:29:39 - mmengine - INFO - Epoch(train) [72][660/940] lr: 1.0000e-03 eta: 4:49:46 time: 0.6934 data_time: 0.0522 memory: 8322 grad_norm: 4.6158 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0709 loss: 1.0709 2022/08/01 06:29:53 - mmengine - INFO - Epoch(train) [72][680/940] lr: 1.0000e-03 eta: 4:49:33 time: 0.6639 data_time: 0.2092 memory: 8322 grad_norm: 4.6576 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9642 loss: 0.9642 2022/08/01 06:30:05 - mmengine - INFO - Epoch(train) [72][700/940] lr: 1.0000e-03 eta: 4:49:19 time: 0.6159 data_time: 0.1966 memory: 8322 grad_norm: 4.7084 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0465 loss: 1.0465 2022/08/01 06:30:19 - mmengine - INFO - Epoch(train) [72][720/940] lr: 1.0000e-03 eta: 4:49:07 time: 0.6950 data_time: 0.3023 memory: 8322 grad_norm: 4.7638 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2159 loss: 1.2159 2022/08/01 06:30:31 - mmengine - INFO - Epoch(train) [72][740/940] lr: 1.0000e-03 eta: 4:48:53 time: 0.5907 data_time: 0.2298 memory: 8322 grad_norm: 4.6760 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1164 loss: 1.1164 2022/08/01 06:30:45 - mmengine - INFO - Epoch(train) [72][760/940] lr: 1.0000e-03 eta: 4:48:41 time: 0.7189 data_time: 0.3967 memory: 8322 grad_norm: 4.7203 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1208 loss: 1.1208 2022/08/01 06:30:56 - mmengine - INFO - Epoch(train) [72][780/940] lr: 1.0000e-03 eta: 4:48:27 time: 0.5638 data_time: 0.2967 memory: 8322 grad_norm: 4.8140 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1302 loss: 1.1302 2022/08/01 06:31:11 - mmengine - INFO - Epoch(train) [72][800/940] lr: 1.0000e-03 eta: 4:48:14 time: 0.7450 data_time: 0.4656 memory: 8322 grad_norm: 4.6729 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9593 loss: 0.9593 2022/08/01 06:31:22 - mmengine - INFO - Epoch(train) [72][820/940] lr: 1.0000e-03 eta: 4:48:01 time: 0.5371 data_time: 0.2891 memory: 8322 grad_norm: 4.6497 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1019 loss: 1.1019 2022/08/01 06:31:37 - mmengine - INFO - Epoch(train) [72][840/940] lr: 1.0000e-03 eta: 4:47:48 time: 0.7295 data_time: 0.4911 memory: 8322 grad_norm: 4.6947 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1180 loss: 1.1180 2022/08/01 06:31:48 - mmengine - INFO - Epoch(train) [72][860/940] lr: 1.0000e-03 eta: 4:47:34 time: 0.5815 data_time: 0.3257 memory: 8322 grad_norm: 4.7162 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0385 loss: 1.0385 2022/08/01 06:32:02 - mmengine - INFO - Epoch(train) [72][880/940] lr: 1.0000e-03 eta: 4:47:21 time: 0.6737 data_time: 0.4417 memory: 8322 grad_norm: 4.6419 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1102 loss: 1.1102 2022/08/01 06:32:13 - mmengine - INFO - Epoch(train) [72][900/940] lr: 1.0000e-03 eta: 4:47:08 time: 0.5437 data_time: 0.3149 memory: 8322 grad_norm: 4.6295 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0156 loss: 1.0156 2022/08/01 06:32:27 - mmengine - INFO - Epoch(train) [72][920/940] lr: 1.0000e-03 eta: 4:46:55 time: 0.7166 data_time: 0.4436 memory: 8322 grad_norm: 4.6533 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0570 loss: 1.0570 2022/08/01 06:32:37 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:32:37 - mmengine - INFO - Epoch(train) [72][940/940] lr: 1.0000e-03 eta: 4:46:41 time: 0.4993 data_time: 0.2782 memory: 8322 grad_norm: 4.9937 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0935 loss: 1.0935 2022/08/01 06:32:37 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/01 06:32:53 - mmengine - INFO - Epoch(val) [72][20/78] eta: 0:00:39 time: 0.6859 data_time: 0.6238 memory: 1463 2022/08/01 06:33:02 - mmengine - INFO - Epoch(val) [72][40/78] eta: 0:00:16 time: 0.4458 data_time: 0.3828 memory: 1463 2022/08/01 06:33:14 - mmengine - INFO - Epoch(val) [72][60/78] eta: 0:00:11 time: 0.6214 data_time: 0.5583 memory: 1463 2022/08/01 06:33:25 - mmengine - INFO - Epoch(val) [72][78/78] acc/top1: 0.6889 acc/top5: 0.8819 acc/mean1: 0.6888 2022/08/01 06:33:41 - mmengine - INFO - Epoch(train) [73][20/940] lr: 1.0000e-03 eta: 4:46:29 time: 0.8207 data_time: 0.4241 memory: 8322 grad_norm: 4.5722 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0824 loss: 1.0824 2022/08/01 06:33:53 - mmengine - INFO - Epoch(train) [73][40/940] lr: 1.0000e-03 eta: 4:46:15 time: 0.5822 data_time: 0.1667 memory: 8322 grad_norm: 4.6055 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1357 loss: 1.1357 2022/08/01 06:34:07 - mmengine - INFO - Epoch(train) [73][60/940] lr: 1.0000e-03 eta: 4:46:03 time: 0.7381 data_time: 0.1290 memory: 8322 grad_norm: 4.7486 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0879 loss: 1.0879 2022/08/01 06:34:18 - mmengine - INFO - Epoch(train) [73][80/940] lr: 1.0000e-03 eta: 4:45:49 time: 0.5421 data_time: 0.0423 memory: 8322 grad_norm: 4.6650 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9903 loss: 0.9903 2022/08/01 06:34:32 - mmengine - INFO - Epoch(train) [73][100/940] lr: 1.0000e-03 eta: 4:45:36 time: 0.6971 data_time: 0.0864 memory: 8322 grad_norm: 4.7847 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0400 loss: 1.0400 2022/08/01 06:34:43 - mmengine - INFO - Epoch(train) [73][120/940] lr: 1.0000e-03 eta: 4:45:22 time: 0.5499 data_time: 0.1103 memory: 8322 grad_norm: 4.7650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1249 loss: 1.1249 2022/08/01 06:34:57 - mmengine - INFO - Epoch(train) [73][140/940] lr: 1.0000e-03 eta: 4:45:10 time: 0.7026 data_time: 0.0632 memory: 8322 grad_norm: 4.7042 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0650 loss: 1.0650 2022/08/01 06:35:09 - mmengine - INFO - Epoch(train) [73][160/940] lr: 1.0000e-03 eta: 4:44:56 time: 0.5895 data_time: 0.0254 memory: 8322 grad_norm: 4.6572 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1682 loss: 1.1682 2022/08/01 06:35:23 - mmengine - INFO - Epoch(train) [73][180/940] lr: 1.0000e-03 eta: 4:44:43 time: 0.6864 data_time: 0.0357 memory: 8322 grad_norm: 4.6891 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0973 loss: 1.0973 2022/08/01 06:35:35 - mmengine - INFO - Epoch(train) [73][200/940] lr: 1.0000e-03 eta: 4:44:30 time: 0.5981 data_time: 0.0314 memory: 8322 grad_norm: 4.7574 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0439 loss: 1.0439 2022/08/01 06:35:49 - mmengine - INFO - Epoch(train) [73][220/940] lr: 1.0000e-03 eta: 4:44:17 time: 0.7183 data_time: 0.0417 memory: 8322 grad_norm: 4.7546 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2156 loss: 1.2156 2022/08/01 06:36:01 - mmengine - INFO - Epoch(train) [73][240/940] lr: 1.0000e-03 eta: 4:44:04 time: 0.5745 data_time: 0.0345 memory: 8322 grad_norm: 4.7582 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0599 loss: 1.0599 2022/08/01 06:36:14 - mmengine - INFO - Epoch(train) [73][260/940] lr: 1.0000e-03 eta: 4:43:51 time: 0.6829 data_time: 0.0411 memory: 8322 grad_norm: 4.7579 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1032 loss: 1.1032 2022/08/01 06:36:26 - mmengine - INFO - Epoch(train) [73][280/940] lr: 1.0000e-03 eta: 4:43:37 time: 0.5801 data_time: 0.0271 memory: 8322 grad_norm: 4.5764 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0648 loss: 1.0648 2022/08/01 06:36:40 - mmengine - INFO - Epoch(train) [73][300/940] lr: 1.0000e-03 eta: 4:43:24 time: 0.7095 data_time: 0.0351 memory: 8322 grad_norm: 4.7450 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0666 loss: 1.0666 2022/08/01 06:36:51 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:36:51 - mmengine - INFO - Epoch(train) [73][320/940] lr: 1.0000e-03 eta: 4:43:11 time: 0.5466 data_time: 0.0323 memory: 8322 grad_norm: 4.6679 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.1159 loss: 1.1159 2022/08/01 06:37:06 - mmengine - INFO - Epoch(train) [73][340/940] lr: 1.0000e-03 eta: 4:42:58 time: 0.7451 data_time: 0.0354 memory: 8322 grad_norm: 4.5551 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9611 loss: 0.9611 2022/08/01 06:37:17 - mmengine - INFO - Epoch(train) [73][360/940] lr: 1.0000e-03 eta: 4:42:44 time: 0.5511 data_time: 0.0320 memory: 8322 grad_norm: 4.7237 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0200 loss: 1.0200 2022/08/01 06:37:32 - mmengine - INFO - Epoch(train) [73][380/940] lr: 1.0000e-03 eta: 4:42:32 time: 0.7315 data_time: 0.0388 memory: 8322 grad_norm: 4.7151 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1260 loss: 1.1260 2022/08/01 06:37:43 - mmengine - INFO - Epoch(train) [73][400/940] lr: 1.0000e-03 eta: 4:42:18 time: 0.5856 data_time: 0.0317 memory: 8322 grad_norm: 4.6765 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0045 loss: 1.0045 2022/08/01 06:37:57 - mmengine - INFO - Epoch(train) [73][420/940] lr: 1.0000e-03 eta: 4:42:05 time: 0.6934 data_time: 0.0334 memory: 8322 grad_norm: 4.7337 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1838 loss: 1.1838 2022/08/01 06:38:08 - mmengine - INFO - Epoch(train) [73][440/940] lr: 1.0000e-03 eta: 4:41:52 time: 0.5573 data_time: 0.0318 memory: 8322 grad_norm: 4.7119 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0483 loss: 1.0483 2022/08/01 06:38:23 - mmengine - INFO - Epoch(train) [73][460/940] lr: 1.0000e-03 eta: 4:41:39 time: 0.7395 data_time: 0.0361 memory: 8322 grad_norm: 4.7140 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0790 loss: 1.0790 2022/08/01 06:38:34 - mmengine - INFO - Epoch(train) [73][480/940] lr: 1.0000e-03 eta: 4:41:25 time: 0.5550 data_time: 0.0395 memory: 8322 grad_norm: 4.6883 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0830 loss: 1.0830 2022/08/01 06:38:50 - mmengine - INFO - Epoch(train) [73][500/940] lr: 1.0000e-03 eta: 4:41:13 time: 0.7600 data_time: 0.0316 memory: 8322 grad_norm: 4.7669 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0851 loss: 1.0851 2022/08/01 06:39:01 - mmengine - INFO - Epoch(train) [73][520/940] lr: 1.0000e-03 eta: 4:41:00 time: 0.5824 data_time: 0.0287 memory: 8322 grad_norm: 4.7468 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0999 loss: 1.0999 2022/08/01 06:39:16 - mmengine - INFO - Epoch(train) [73][540/940] lr: 1.0000e-03 eta: 4:40:47 time: 0.7206 data_time: 0.0319 memory: 8322 grad_norm: 4.6277 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9948 loss: 0.9948 2022/08/01 06:39:28 - mmengine - INFO - Epoch(train) [73][560/940] lr: 1.0000e-03 eta: 4:40:34 time: 0.6087 data_time: 0.0363 memory: 8322 grad_norm: 4.6468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0971 loss: 1.0971 2022/08/01 06:39:43 - mmengine - INFO - Epoch(train) [73][580/940] lr: 1.0000e-03 eta: 4:40:21 time: 0.7484 data_time: 0.0356 memory: 8322 grad_norm: 4.8045 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0847 loss: 1.0847 2022/08/01 06:39:53 - mmengine - INFO - Epoch(train) [73][600/940] lr: 1.0000e-03 eta: 4:40:07 time: 0.5188 data_time: 0.0358 memory: 8322 grad_norm: 4.6908 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0937 loss: 1.0937 2022/08/01 06:40:07 - mmengine - INFO - Epoch(train) [73][620/940] lr: 1.0000e-03 eta: 4:39:54 time: 0.7084 data_time: 0.0398 memory: 8322 grad_norm: 4.7518 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1910 loss: 1.1910 2022/08/01 06:40:19 - mmengine - INFO - Epoch(train) [73][640/940] lr: 1.0000e-03 eta: 4:39:41 time: 0.5875 data_time: 0.0351 memory: 8322 grad_norm: 4.6196 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0233 loss: 1.0233 2022/08/01 06:40:33 - mmengine - INFO - Epoch(train) [73][660/940] lr: 1.0000e-03 eta: 4:39:28 time: 0.7086 data_time: 0.0398 memory: 8322 grad_norm: 4.6466 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0338 loss: 1.0338 2022/08/01 06:40:45 - mmengine - INFO - Epoch(train) [73][680/940] lr: 1.0000e-03 eta: 4:39:15 time: 0.5621 data_time: 0.0386 memory: 8322 grad_norm: 4.7140 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0910 loss: 1.0910 2022/08/01 06:41:00 - mmengine - INFO - Epoch(train) [73][700/940] lr: 1.0000e-03 eta: 4:39:02 time: 0.7491 data_time: 0.0501 memory: 8322 grad_norm: 4.6495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0303 loss: 1.0303 2022/08/01 06:41:11 - mmengine - INFO - Epoch(train) [73][720/940] lr: 1.0000e-03 eta: 4:38:49 time: 0.5988 data_time: 0.0537 memory: 8322 grad_norm: 4.6482 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0167 loss: 1.0167 2022/08/01 06:41:26 - mmengine - INFO - Epoch(train) [73][740/940] lr: 1.0000e-03 eta: 4:38:36 time: 0.7210 data_time: 0.0302 memory: 8322 grad_norm: 4.7440 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0943 loss: 1.0943 2022/08/01 06:41:36 - mmengine - INFO - Epoch(train) [73][760/940] lr: 1.0000e-03 eta: 4:38:22 time: 0.5279 data_time: 0.0314 memory: 8322 grad_norm: 4.7905 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.0738 loss: 1.0738 2022/08/01 06:41:50 - mmengine - INFO - Epoch(train) [73][780/940] lr: 1.0000e-03 eta: 4:38:09 time: 0.6876 data_time: 0.0381 memory: 8322 grad_norm: 4.6352 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0331 loss: 1.0331 2022/08/01 06:42:02 - mmengine - INFO - Epoch(train) [73][800/940] lr: 1.0000e-03 eta: 4:37:56 time: 0.5660 data_time: 0.0369 memory: 8322 grad_norm: 4.8598 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0825 loss: 1.0825 2022/08/01 06:42:15 - mmengine - INFO - Epoch(train) [73][820/940] lr: 1.0000e-03 eta: 4:37:43 time: 0.6766 data_time: 0.0396 memory: 8322 grad_norm: 4.8231 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2042 loss: 1.2042 2022/08/01 06:42:28 - mmengine - INFO - Epoch(train) [73][840/940] lr: 1.0000e-03 eta: 4:37:29 time: 0.6260 data_time: 0.0345 memory: 8322 grad_norm: 4.8029 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0763 loss: 1.0763 2022/08/01 06:42:41 - mmengine - INFO - Epoch(train) [73][860/940] lr: 1.0000e-03 eta: 4:37:16 time: 0.6532 data_time: 0.0634 memory: 8322 grad_norm: 4.7088 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0876 loss: 1.0876 2022/08/01 06:42:53 - mmengine - INFO - Epoch(train) [73][880/940] lr: 1.0000e-03 eta: 4:37:03 time: 0.6223 data_time: 0.1253 memory: 8322 grad_norm: 4.7246 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0799 loss: 1.0799 2022/08/01 06:43:06 - mmengine - INFO - Epoch(train) [73][900/940] lr: 1.0000e-03 eta: 4:36:50 time: 0.6414 data_time: 0.0785 memory: 8322 grad_norm: 4.6891 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0426 loss: 1.0426 2022/08/01 06:43:20 - mmengine - INFO - Epoch(train) [73][920/940] lr: 1.0000e-03 eta: 4:36:37 time: 0.6704 data_time: 0.0347 memory: 8322 grad_norm: 4.7692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0776 loss: 1.0776 2022/08/01 06:43:32 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:43:32 - mmengine - INFO - Epoch(train) [73][940/940] lr: 1.0000e-03 eta: 4:36:24 time: 0.6199 data_time: 0.0367 memory: 8322 grad_norm: 5.0322 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9577 loss: 0.9577 2022/08/01 06:43:45 - mmengine - INFO - Epoch(val) [73][20/78] eta: 0:00:38 time: 0.6633 data_time: 0.5955 memory: 1463 2022/08/01 06:43:54 - mmengine - INFO - Epoch(val) [73][40/78] eta: 0:00:16 time: 0.4375 data_time: 0.3748 memory: 1463 2022/08/01 06:44:07 - mmengine - INFO - Epoch(val) [73][60/78] eta: 0:00:11 time: 0.6547 data_time: 0.5932 memory: 1463 2022/08/01 06:44:17 - mmengine - INFO - Epoch(val) [73][78/78] acc/top1: 0.6917 acc/top5: 0.8830 acc/mean1: 0.6915 2022/08/01 06:44:34 - mmengine - INFO - Epoch(train) [74][20/940] lr: 1.0000e-03 eta: 4:36:12 time: 0.8150 data_time: 0.5330 memory: 8322 grad_norm: 4.8032 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2560 loss: 1.2560 2022/08/01 06:44:44 - mmengine - INFO - Epoch(train) [74][40/940] lr: 1.0000e-03 eta: 4:35:58 time: 0.5228 data_time: 0.3022 memory: 8322 grad_norm: 4.6962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1104 loss: 1.1104 2022/08/01 06:45:00 - mmengine - INFO - Epoch(train) [74][60/940] lr: 1.0000e-03 eta: 4:35:46 time: 0.7966 data_time: 0.3355 memory: 8322 grad_norm: 4.6790 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0432 loss: 1.0432 2022/08/01 06:45:11 - mmengine - INFO - Epoch(train) [74][80/940] lr: 1.0000e-03 eta: 4:35:32 time: 0.5413 data_time: 0.0565 memory: 8322 grad_norm: 4.7171 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0615 loss: 1.0615 2022/08/01 06:45:25 - mmengine - INFO - Epoch(train) [74][100/940] lr: 1.0000e-03 eta: 4:35:19 time: 0.7107 data_time: 0.0683 memory: 8322 grad_norm: 4.7203 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1279 loss: 1.1279 2022/08/01 06:45:37 - mmengine - INFO - Epoch(train) [74][120/940] lr: 1.0000e-03 eta: 4:35:06 time: 0.5911 data_time: 0.0300 memory: 8322 grad_norm: 4.7794 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0106 loss: 1.0106 2022/08/01 06:45:52 - mmengine - INFO - Epoch(train) [74][140/940] lr: 1.0000e-03 eta: 4:34:53 time: 0.7459 data_time: 0.0395 memory: 8322 grad_norm: 4.5863 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9292 loss: 0.9292 2022/08/01 06:46:02 - mmengine - INFO - Epoch(train) [74][160/940] lr: 1.0000e-03 eta: 4:34:39 time: 0.5303 data_time: 0.0315 memory: 8322 grad_norm: 4.6120 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1488 loss: 1.1488 2022/08/01 06:46:17 - mmengine - INFO - Epoch(train) [74][180/940] lr: 1.0000e-03 eta: 4:34:27 time: 0.7190 data_time: 0.1389 memory: 8322 grad_norm: 4.6955 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0802 loss: 1.0802 2022/08/01 06:46:29 - mmengine - INFO - Epoch(train) [74][200/940] lr: 1.0000e-03 eta: 4:34:13 time: 0.6108 data_time: 0.1029 memory: 8322 grad_norm: 4.6796 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1310 loss: 1.1310 2022/08/01 06:46:43 - mmengine - INFO - Epoch(train) [74][220/940] lr: 1.0000e-03 eta: 4:34:01 time: 0.7124 data_time: 0.0669 memory: 8322 grad_norm: 4.6950 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0889 loss: 1.0889 2022/08/01 06:46:54 - mmengine - INFO - Epoch(train) [74][240/940] lr: 1.0000e-03 eta: 4:33:47 time: 0.5410 data_time: 0.0283 memory: 8322 grad_norm: 4.6899 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1035 loss: 1.1035 2022/08/01 06:47:09 - mmengine - INFO - Epoch(train) [74][260/940] lr: 1.0000e-03 eta: 4:33:34 time: 0.7293 data_time: 0.0642 memory: 8322 grad_norm: 4.5761 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0167 loss: 1.0167 2022/08/01 06:47:20 - mmengine - INFO - Epoch(train) [74][280/940] lr: 1.0000e-03 eta: 4:33:21 time: 0.5864 data_time: 0.0464 memory: 8322 grad_norm: 4.6893 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1702 loss: 1.1702 2022/08/01 06:47:35 - mmengine - INFO - Epoch(train) [74][300/940] lr: 1.0000e-03 eta: 4:33:08 time: 0.7347 data_time: 0.0750 memory: 8322 grad_norm: 4.7491 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1452 loss: 1.1452 2022/08/01 06:47:47 - mmengine - INFO - Epoch(train) [74][320/940] lr: 1.0000e-03 eta: 4:32:55 time: 0.6002 data_time: 0.0391 memory: 8322 grad_norm: 4.7772 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0980 loss: 1.0980 2022/08/01 06:48:03 - mmengine - INFO - Epoch(train) [74][340/940] lr: 1.0000e-03 eta: 4:32:43 time: 0.7850 data_time: 0.0309 memory: 8322 grad_norm: 4.6684 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9889 loss: 0.9889 2022/08/01 06:48:13 - mmengine - INFO - Epoch(train) [74][360/940] lr: 1.0000e-03 eta: 4:32:29 time: 0.5144 data_time: 0.0288 memory: 8322 grad_norm: 4.7716 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1925 loss: 1.1925 2022/08/01 06:48:26 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:48:26 - mmengine - INFO - Epoch(train) [74][380/940] lr: 1.0000e-03 eta: 4:32:16 time: 0.6606 data_time: 0.0366 memory: 8322 grad_norm: 4.6932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1649 loss: 1.1649 2022/08/01 06:48:38 - mmengine - INFO - Epoch(train) [74][400/940] lr: 1.0000e-03 eta: 4:32:02 time: 0.5633 data_time: 0.0312 memory: 8322 grad_norm: 4.7785 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1596 loss: 1.1596 2022/08/01 06:48:52 - mmengine - INFO - Epoch(train) [74][420/940] lr: 1.0000e-03 eta: 4:31:49 time: 0.7330 data_time: 0.0352 memory: 8322 grad_norm: 4.7232 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0801 loss: 1.0801 2022/08/01 06:49:04 - mmengine - INFO - Epoch(train) [74][440/940] lr: 1.0000e-03 eta: 4:31:36 time: 0.6046 data_time: 0.0357 memory: 8322 grad_norm: 4.8494 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1776 loss: 1.1776 2022/08/01 06:49:19 - mmengine - INFO - Epoch(train) [74][460/940] lr: 1.0000e-03 eta: 4:31:23 time: 0.7069 data_time: 0.0363 memory: 8322 grad_norm: 4.7768 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1556 loss: 1.1556 2022/08/01 06:49:29 - mmengine - INFO - Epoch(train) [74][480/940] lr: 1.0000e-03 eta: 4:31:09 time: 0.5372 data_time: 0.0397 memory: 8322 grad_norm: 4.6359 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0586 loss: 1.0586 2022/08/01 06:49:44 - mmengine - INFO - Epoch(train) [74][500/940] lr: 1.0000e-03 eta: 4:30:57 time: 0.7169 data_time: 0.0387 memory: 8322 grad_norm: 4.7213 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1627 loss: 1.1627 2022/08/01 06:49:55 - mmengine - INFO - Epoch(train) [74][520/940] lr: 1.0000e-03 eta: 4:30:43 time: 0.5660 data_time: 0.0303 memory: 8322 grad_norm: 4.6819 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0122 loss: 1.0122 2022/08/01 06:50:11 - mmengine - INFO - Epoch(train) [74][540/940] lr: 1.0000e-03 eta: 4:30:31 time: 0.7823 data_time: 0.0328 memory: 8322 grad_norm: 4.7389 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0395 loss: 1.0395 2022/08/01 06:50:22 - mmengine - INFO - Epoch(train) [74][560/940] lr: 1.0000e-03 eta: 4:30:17 time: 0.5742 data_time: 0.0344 memory: 8322 grad_norm: 4.7528 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1266 loss: 1.1266 2022/08/01 06:50:37 - mmengine - INFO - Epoch(train) [74][580/940] lr: 1.0000e-03 eta: 4:30:05 time: 0.7285 data_time: 0.0323 memory: 8322 grad_norm: 4.7452 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0679 loss: 1.0679 2022/08/01 06:50:48 - mmengine - INFO - Epoch(train) [74][600/940] lr: 1.0000e-03 eta: 4:29:51 time: 0.5532 data_time: 0.0349 memory: 8322 grad_norm: 4.6693 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0891 loss: 1.0891 2022/08/01 06:51:03 - mmengine - INFO - Epoch(train) [74][620/940] lr: 1.0000e-03 eta: 4:29:39 time: 0.7715 data_time: 0.0324 memory: 8322 grad_norm: 4.8022 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0946 loss: 1.0946 2022/08/01 06:51:13 - mmengine - INFO - Epoch(train) [74][640/940] lr: 1.0000e-03 eta: 4:29:24 time: 0.4886 data_time: 0.0391 memory: 8322 grad_norm: 4.6768 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0172 loss: 1.0172 2022/08/01 06:51:28 - mmengine - INFO - Epoch(train) [74][660/940] lr: 1.0000e-03 eta: 4:29:12 time: 0.7326 data_time: 0.0380 memory: 8322 grad_norm: 4.7008 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/08/01 06:51:40 - mmengine - INFO - Epoch(train) [74][680/940] lr: 1.0000e-03 eta: 4:28:58 time: 0.5962 data_time: 0.0385 memory: 8322 grad_norm: 4.7311 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1927 loss: 1.1927 2022/08/01 06:51:53 - mmengine - INFO - Epoch(train) [74][700/940] lr: 1.0000e-03 eta: 4:28:46 time: 0.6902 data_time: 0.0403 memory: 8322 grad_norm: 4.7434 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0472 loss: 1.0472 2022/08/01 06:52:05 - mmengine - INFO - Epoch(train) [74][720/940] lr: 1.0000e-03 eta: 4:28:32 time: 0.5759 data_time: 0.0342 memory: 8322 grad_norm: 4.6970 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0810 loss: 1.0810 2022/08/01 06:52:18 - mmengine - INFO - Epoch(train) [74][740/940] lr: 1.0000e-03 eta: 4:28:19 time: 0.6478 data_time: 0.0369 memory: 8322 grad_norm: 4.7726 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/08/01 06:52:31 - mmengine - INFO - Epoch(train) [74][760/940] lr: 1.0000e-03 eta: 4:28:06 time: 0.6492 data_time: 0.0398 memory: 8322 grad_norm: 4.6906 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0719 loss: 1.0719 2022/08/01 06:52:43 - mmengine - INFO - Epoch(train) [74][780/940] lr: 1.0000e-03 eta: 4:27:53 time: 0.6202 data_time: 0.0654 memory: 8322 grad_norm: 4.6943 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9851 loss: 0.9851 2022/08/01 06:52:57 - mmengine - INFO - Epoch(train) [74][800/940] lr: 1.0000e-03 eta: 4:27:40 time: 0.6673 data_time: 0.1604 memory: 8322 grad_norm: 4.6874 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0950 loss: 1.0950 2022/08/01 06:53:08 - mmengine - INFO - Epoch(train) [74][820/940] lr: 1.0000e-03 eta: 4:27:26 time: 0.5867 data_time: 0.0782 memory: 8322 grad_norm: 4.7967 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0999 loss: 1.0999 2022/08/01 06:53:22 - mmengine - INFO - Epoch(train) [74][840/940] lr: 1.0000e-03 eta: 4:27:13 time: 0.7008 data_time: 0.0376 memory: 8322 grad_norm: 4.8109 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1600 loss: 1.1600 2022/08/01 06:53:35 - mmengine - INFO - Epoch(train) [74][860/940] lr: 1.0000e-03 eta: 4:27:00 time: 0.6393 data_time: 0.0358 memory: 8322 grad_norm: 4.8633 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0173 loss: 1.0173 2022/08/01 06:53:49 - mmengine - INFO - Epoch(train) [74][880/940] lr: 1.0000e-03 eta: 4:26:47 time: 0.6895 data_time: 0.0360 memory: 8322 grad_norm: 4.6874 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0270 loss: 1.0270 2022/08/01 06:54:00 - mmengine - INFO - Epoch(train) [74][900/940] lr: 1.0000e-03 eta: 4:26:34 time: 0.5630 data_time: 0.0324 memory: 8322 grad_norm: 4.6878 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0119 loss: 1.0119 2022/08/01 06:54:14 - mmengine - INFO - Epoch(train) [74][920/940] lr: 1.0000e-03 eta: 4:26:21 time: 0.6786 data_time: 0.0393 memory: 8322 grad_norm: 4.8288 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1314 loss: 1.1314 2022/08/01 06:54:24 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:54:24 - mmengine - INFO - Epoch(train) [74][940/940] lr: 1.0000e-03 eta: 4:26:07 time: 0.5037 data_time: 0.0251 memory: 8322 grad_norm: 5.0111 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1404 loss: 1.1404 2022/08/01 06:54:38 - mmengine - INFO - Epoch(val) [74][20/78] eta: 0:00:39 time: 0.6848 data_time: 0.6200 memory: 1463 2022/08/01 06:54:46 - mmengine - INFO - Epoch(val) [74][40/78] eta: 0:00:16 time: 0.4300 data_time: 0.3602 memory: 1463 2022/08/01 06:54:59 - mmengine - INFO - Epoch(val) [74][60/78] eta: 0:00:11 time: 0.6368 data_time: 0.5716 memory: 1463 2022/08/01 06:55:09 - mmengine - INFO - Epoch(val) [74][78/78] acc/top1: 0.6910 acc/top5: 0.8841 acc/mean1: 0.6910 2022/08/01 06:55:26 - mmengine - INFO - Epoch(train) [75][20/940] lr: 1.0000e-03 eta: 4:25:55 time: 0.8190 data_time: 0.4465 memory: 8322 grad_norm: 4.7501 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1153 loss: 1.1153 2022/08/01 06:55:37 - mmengine - INFO - Epoch(train) [75][40/940] lr: 1.0000e-03 eta: 4:25:41 time: 0.5568 data_time: 0.2337 memory: 8322 grad_norm: 4.7583 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0850 loss: 1.0850 2022/08/01 06:55:52 - mmengine - INFO - Epoch(train) [75][60/940] lr: 1.0000e-03 eta: 4:25:29 time: 0.7576 data_time: 0.2573 memory: 8322 grad_norm: 4.8019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1882 loss: 1.1882 2022/08/01 06:56:03 - mmengine - INFO - Epoch(train) [75][80/940] lr: 1.0000e-03 eta: 4:25:15 time: 0.5263 data_time: 0.0992 memory: 8322 grad_norm: 4.7890 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1228 loss: 1.1228 2022/08/01 06:56:18 - mmengine - INFO - Epoch(train) [75][100/940] lr: 1.0000e-03 eta: 4:25:02 time: 0.7390 data_time: 0.2101 memory: 8322 grad_norm: 4.6774 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1497 loss: 1.1497 2022/08/01 06:56:29 - mmengine - INFO - Epoch(train) [75][120/940] lr: 1.0000e-03 eta: 4:24:48 time: 0.5514 data_time: 0.0485 memory: 8322 grad_norm: 4.8209 top1_acc: 0.5312 top5_acc: 0.9375 loss_cls: 1.1630 loss: 1.1630 2022/08/01 06:56:43 - mmengine - INFO - Epoch(train) [75][140/940] lr: 1.0000e-03 eta: 4:24:36 time: 0.7054 data_time: 0.0841 memory: 8322 grad_norm: 4.6424 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0555 loss: 1.0555 2022/08/01 06:56:55 - mmengine - INFO - Epoch(train) [75][160/940] lr: 1.0000e-03 eta: 4:24:22 time: 0.6238 data_time: 0.0468 memory: 8322 grad_norm: 4.8189 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9578 loss: 0.9578 2022/08/01 06:57:09 - mmengine - INFO - Epoch(train) [75][180/940] lr: 1.0000e-03 eta: 4:24:10 time: 0.6845 data_time: 0.0441 memory: 8322 grad_norm: 4.7272 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1248 loss: 1.1248 2022/08/01 06:57:21 - mmengine - INFO - Epoch(train) [75][200/940] lr: 1.0000e-03 eta: 4:23:56 time: 0.5916 data_time: 0.0478 memory: 8322 grad_norm: 4.6104 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9651 loss: 0.9651 2022/08/01 06:57:34 - mmengine - INFO - Epoch(train) [75][220/940] lr: 1.0000e-03 eta: 4:23:43 time: 0.6427 data_time: 0.0746 memory: 8322 grad_norm: 4.8036 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1056 loss: 1.1056 2022/08/01 06:57:46 - mmengine - INFO - Epoch(train) [75][240/940] lr: 1.0000e-03 eta: 4:23:30 time: 0.6101 data_time: 0.0853 memory: 8322 grad_norm: 4.7400 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1163 loss: 1.1163 2022/08/01 06:58:00 - mmengine - INFO - Epoch(train) [75][260/940] lr: 1.0000e-03 eta: 4:23:17 time: 0.6967 data_time: 0.1442 memory: 8322 grad_norm: 4.6973 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0104 loss: 1.0104 2022/08/01 06:58:13 - mmengine - INFO - Epoch(train) [75][280/940] lr: 1.0000e-03 eta: 4:23:04 time: 0.6642 data_time: 0.2174 memory: 8322 grad_norm: 4.7531 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0866 loss: 1.0866 2022/08/01 06:58:25 - mmengine - INFO - Epoch(train) [75][300/940] lr: 1.0000e-03 eta: 4:22:50 time: 0.6115 data_time: 0.2409 memory: 8322 grad_norm: 4.8026 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9708 loss: 0.9708 2022/08/01 06:58:37 - mmengine - INFO - Epoch(train) [75][320/940] lr: 1.0000e-03 eta: 4:22:37 time: 0.6045 data_time: 0.1682 memory: 8322 grad_norm: 4.7269 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0865 loss: 1.0865 2022/08/01 06:58:52 - mmengine - INFO - Epoch(train) [75][340/940] lr: 1.0000e-03 eta: 4:22:25 time: 0.7414 data_time: 0.0831 memory: 8322 grad_norm: 4.6286 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.1255 loss: 1.1255 2022/08/01 06:59:04 - mmengine - INFO - Epoch(train) [75][360/940] lr: 1.0000e-03 eta: 4:22:11 time: 0.6007 data_time: 0.0602 memory: 8322 grad_norm: 4.7426 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0788 loss: 1.0788 2022/08/01 06:59:18 - mmengine - INFO - Epoch(train) [75][380/940] lr: 1.0000e-03 eta: 4:21:58 time: 0.6692 data_time: 0.0330 memory: 8322 grad_norm: 4.7640 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0663 loss: 1.0663 2022/08/01 06:59:29 - mmengine - INFO - Epoch(train) [75][400/940] lr: 1.0000e-03 eta: 4:21:44 time: 0.5406 data_time: 0.0424 memory: 8322 grad_norm: 4.7685 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1692 loss: 1.1692 2022/08/01 06:59:43 - mmengine - INFO - Epoch(train) [75][420/940] lr: 1.0000e-03 eta: 4:21:32 time: 0.7436 data_time: 0.1645 memory: 8322 grad_norm: 4.6837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0398 loss: 1.0398 2022/08/01 06:59:54 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 06:59:54 - mmengine - INFO - Epoch(train) [75][440/940] lr: 1.0000e-03 eta: 4:21:18 time: 0.5412 data_time: 0.1023 memory: 8322 grad_norm: 4.5672 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0976 loss: 1.0976 2022/08/01 07:00:09 - mmengine - INFO - Epoch(train) [75][460/940] lr: 1.0000e-03 eta: 4:21:06 time: 0.7445 data_time: 0.1209 memory: 8322 grad_norm: 4.7163 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1016 loss: 1.1016 2022/08/01 07:00:21 - mmengine - INFO - Epoch(train) [75][480/940] lr: 1.0000e-03 eta: 4:20:52 time: 0.5871 data_time: 0.0667 memory: 8322 grad_norm: 4.6859 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0566 loss: 1.0566 2022/08/01 07:00:35 - mmengine - INFO - Epoch(train) [75][500/940] lr: 1.0000e-03 eta: 4:20:39 time: 0.7127 data_time: 0.0369 memory: 8322 grad_norm: 4.7626 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0481 loss: 1.0481 2022/08/01 07:00:46 - mmengine - INFO - Epoch(train) [75][520/940] lr: 1.0000e-03 eta: 4:20:26 time: 0.5550 data_time: 0.0381 memory: 8322 grad_norm: 4.6636 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9684 loss: 0.9684 2022/08/01 07:01:01 - mmengine - INFO - Epoch(train) [75][540/940] lr: 1.0000e-03 eta: 4:20:13 time: 0.7500 data_time: 0.0357 memory: 8322 grad_norm: 4.7876 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1413 loss: 1.1413 2022/08/01 07:01:12 - mmengine - INFO - Epoch(train) [75][560/940] lr: 1.0000e-03 eta: 4:20:00 time: 0.5577 data_time: 0.0338 memory: 8322 grad_norm: 4.7999 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1473 loss: 1.1473 2022/08/01 07:01:28 - mmengine - INFO - Epoch(train) [75][580/940] lr: 1.0000e-03 eta: 4:19:47 time: 0.7643 data_time: 0.0468 memory: 8322 grad_norm: 4.7478 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0851 loss: 1.0851 2022/08/01 07:01:40 - mmengine - INFO - Epoch(train) [75][600/940] lr: 1.0000e-03 eta: 4:19:34 time: 0.5964 data_time: 0.0345 memory: 8322 grad_norm: 4.6938 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0404 loss: 1.0404 2022/08/01 07:01:55 - mmengine - INFO - Epoch(train) [75][620/940] lr: 1.0000e-03 eta: 4:19:21 time: 0.7504 data_time: 0.0386 memory: 8322 grad_norm: 4.8296 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0795 loss: 1.0795 2022/08/01 07:02:05 - mmengine - INFO - Epoch(train) [75][640/940] lr: 1.0000e-03 eta: 4:19:08 time: 0.5441 data_time: 0.0350 memory: 8322 grad_norm: 4.7418 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9932 loss: 0.9932 2022/08/01 07:02:19 - mmengine - INFO - Epoch(train) [75][660/940] lr: 1.0000e-03 eta: 4:18:55 time: 0.6659 data_time: 0.0305 memory: 8322 grad_norm: 4.8331 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1380 loss: 1.1380 2022/08/01 07:02:31 - mmengine - INFO - Epoch(train) [75][680/940] lr: 1.0000e-03 eta: 4:18:41 time: 0.6069 data_time: 0.0557 memory: 8322 grad_norm: 4.8810 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0462 loss: 1.0462 2022/08/01 07:02:43 - mmengine - INFO - Epoch(train) [75][700/940] lr: 1.0000e-03 eta: 4:18:28 time: 0.6226 data_time: 0.0344 memory: 8322 grad_norm: 4.7594 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0593 loss: 1.0593 2022/08/01 07:02:55 - mmengine - INFO - Epoch(train) [75][720/940] lr: 1.0000e-03 eta: 4:18:15 time: 0.5895 data_time: 0.0376 memory: 8322 grad_norm: 4.7796 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9845 loss: 0.9845 2022/08/01 07:03:09 - mmengine - INFO - Epoch(train) [75][740/940] lr: 1.0000e-03 eta: 4:18:02 time: 0.6832 data_time: 0.0326 memory: 8322 grad_norm: 4.8295 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0461 loss: 1.0461 2022/08/01 07:03:21 - mmengine - INFO - Epoch(train) [75][760/940] lr: 1.0000e-03 eta: 4:17:48 time: 0.6157 data_time: 0.0350 memory: 8322 grad_norm: 4.7219 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0609 loss: 1.0609 2022/08/01 07:03:35 - mmengine - INFO - Epoch(train) [75][780/940] lr: 1.0000e-03 eta: 4:17:36 time: 0.6948 data_time: 0.0379 memory: 8322 grad_norm: 4.7654 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0466 loss: 1.0466 2022/08/01 07:03:48 - mmengine - INFO - Epoch(train) [75][800/940] lr: 1.0000e-03 eta: 4:17:22 time: 0.6209 data_time: 0.0288 memory: 8322 grad_norm: 4.8123 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1343 loss: 1.1343 2022/08/01 07:04:03 - mmengine - INFO - Epoch(train) [75][820/940] lr: 1.0000e-03 eta: 4:17:10 time: 0.7594 data_time: 0.0350 memory: 8322 grad_norm: 4.8251 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0012 loss: 1.0012 2022/08/01 07:04:13 - mmengine - INFO - Epoch(train) [75][840/940] lr: 1.0000e-03 eta: 4:16:56 time: 0.5078 data_time: 0.0353 memory: 8322 grad_norm: 4.7400 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0686 loss: 1.0686 2022/08/01 07:04:26 - mmengine - INFO - Epoch(train) [75][860/940] lr: 1.0000e-03 eta: 4:16:43 time: 0.6643 data_time: 0.1449 memory: 8322 grad_norm: 4.8369 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0857 loss: 1.0857 2022/08/01 07:04:38 - mmengine - INFO - Epoch(train) [75][880/940] lr: 1.0000e-03 eta: 4:16:29 time: 0.6033 data_time: 0.1394 memory: 8322 grad_norm: 4.6777 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9738 loss: 0.9738 2022/08/01 07:04:53 - mmengine - INFO - Epoch(train) [75][900/940] lr: 1.0000e-03 eta: 4:16:17 time: 0.7198 data_time: 0.1851 memory: 8322 grad_norm: 4.7627 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0615 loss: 1.0615 2022/08/01 07:05:04 - mmengine - INFO - Epoch(train) [75][920/940] lr: 1.0000e-03 eta: 4:16:03 time: 0.5847 data_time: 0.1669 memory: 8322 grad_norm: 4.8387 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0691 loss: 1.0691 2022/08/01 07:05:15 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:05:15 - mmengine - INFO - Epoch(train) [75][940/940] lr: 1.0000e-03 eta: 4:15:49 time: 0.5258 data_time: 0.0859 memory: 8322 grad_norm: 4.9839 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0381 loss: 1.0381 2022/08/01 07:05:15 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/08/01 07:05:31 - mmengine - INFO - Epoch(val) [75][20/78] eta: 0:00:40 time: 0.6933 data_time: 0.6319 memory: 1463 2022/08/01 07:05:39 - mmengine - INFO - Epoch(val) [75][40/78] eta: 0:00:16 time: 0.4253 data_time: 0.3625 memory: 1463 2022/08/01 07:05:52 - mmengine - INFO - Epoch(val) [75][60/78] eta: 0:00:11 time: 0.6503 data_time: 0.5893 memory: 1463 2022/08/01 07:06:02 - mmengine - INFO - Epoch(val) [75][78/78] acc/top1: 0.6918 acc/top5: 0.8831 acc/mean1: 0.6917 2022/08/01 07:06:02 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_62.pth is removed 2022/08/01 07:06:03 - mmengine - INFO - The best checkpoint with 0.6918 acc/top1 at 76 epoch is saved to best_acc/top1_epoch_76.pth. 2022/08/01 07:06:19 - mmengine - INFO - Epoch(train) [76][20/940] lr: 1.0000e-03 eta: 4:15:37 time: 0.7985 data_time: 0.5118 memory: 8322 grad_norm: 4.6997 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0459 loss: 1.0459 2022/08/01 07:06:30 - mmengine - INFO - Epoch(train) [76][40/940] lr: 1.0000e-03 eta: 4:15:23 time: 0.5297 data_time: 0.2385 memory: 8322 grad_norm: 4.7225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0655 loss: 1.0655 2022/08/01 07:06:45 - mmengine - INFO - Epoch(train) [76][60/940] lr: 1.0000e-03 eta: 4:15:11 time: 0.7432 data_time: 0.3933 memory: 8322 grad_norm: 4.7806 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1071 loss: 1.1071 2022/08/01 07:06:56 - mmengine - INFO - Epoch(train) [76][80/940] lr: 1.0000e-03 eta: 4:14:57 time: 0.5659 data_time: 0.1931 memory: 8322 grad_norm: 4.7553 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1099 loss: 1.1099 2022/08/01 07:07:10 - mmengine - INFO - Epoch(train) [76][100/940] lr: 1.0000e-03 eta: 4:14:45 time: 0.7028 data_time: 0.1406 memory: 8322 grad_norm: 4.7480 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1021 loss: 1.1021 2022/08/01 07:07:23 - mmengine - INFO - Epoch(train) [76][120/940] lr: 1.0000e-03 eta: 4:14:31 time: 0.6150 data_time: 0.0517 memory: 8322 grad_norm: 4.7589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2152 loss: 1.2152 2022/08/01 07:07:37 - mmengine - INFO - Epoch(train) [76][140/940] lr: 1.0000e-03 eta: 4:14:19 time: 0.7007 data_time: 0.0357 memory: 8322 grad_norm: 4.8137 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0447 loss: 1.0447 2022/08/01 07:07:48 - mmengine - INFO - Epoch(train) [76][160/940] lr: 1.0000e-03 eta: 4:14:05 time: 0.5939 data_time: 0.0330 memory: 8322 grad_norm: 4.7445 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1009 loss: 1.1009 2022/08/01 07:08:04 - mmengine - INFO - Epoch(train) [76][180/940] lr: 1.0000e-03 eta: 4:13:53 time: 0.7670 data_time: 0.0324 memory: 8322 grad_norm: 4.6679 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9576 loss: 0.9576 2022/08/01 07:08:15 - mmengine - INFO - Epoch(train) [76][200/940] lr: 1.0000e-03 eta: 4:13:39 time: 0.5568 data_time: 0.0361 memory: 8322 grad_norm: 4.6770 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9390 loss: 0.9390 2022/08/01 07:08:29 - mmengine - INFO - Epoch(train) [76][220/940] lr: 1.0000e-03 eta: 4:13:26 time: 0.7202 data_time: 0.0431 memory: 8322 grad_norm: 4.7642 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1208 loss: 1.1208 2022/08/01 07:08:41 - mmengine - INFO - Epoch(train) [76][240/940] lr: 1.0000e-03 eta: 4:13:13 time: 0.5589 data_time: 0.0283 memory: 8322 grad_norm: 4.7651 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0542 loss: 1.0542 2022/08/01 07:08:56 - mmengine - INFO - Epoch(train) [76][260/940] lr: 1.0000e-03 eta: 4:13:00 time: 0.7519 data_time: 0.0346 memory: 8322 grad_norm: 4.7656 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0985 loss: 1.0985 2022/08/01 07:09:05 - mmengine - INFO - Epoch(train) [76][280/940] lr: 1.0000e-03 eta: 4:12:46 time: 0.4733 data_time: 0.0467 memory: 8322 grad_norm: 4.7360 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0387 loss: 1.0387 2022/08/01 07:09:20 - mmengine - INFO - Epoch(train) [76][300/940] lr: 1.0000e-03 eta: 4:12:33 time: 0.7245 data_time: 0.0295 memory: 8322 grad_norm: 4.7402 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9878 loss: 0.9878 2022/08/01 07:09:31 - mmengine - INFO - Epoch(train) [76][320/940] lr: 1.0000e-03 eta: 4:12:20 time: 0.5869 data_time: 0.0356 memory: 8322 grad_norm: 4.8113 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0990 loss: 1.0990 2022/08/01 07:09:46 - mmengine - INFO - Epoch(train) [76][340/940] lr: 1.0000e-03 eta: 4:12:07 time: 0.7219 data_time: 0.0442 memory: 8322 grad_norm: 4.7107 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0968 loss: 1.0968 2022/08/01 07:09:57 - mmengine - INFO - Epoch(train) [76][360/940] lr: 1.0000e-03 eta: 4:11:54 time: 0.5555 data_time: 0.0473 memory: 8322 grad_norm: 4.7405 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1174 loss: 1.1174 2022/08/01 07:10:12 - mmengine - INFO - Epoch(train) [76][380/940] lr: 1.0000e-03 eta: 4:11:41 time: 0.7651 data_time: 0.0376 memory: 8322 grad_norm: 4.7138 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9932 loss: 0.9932 2022/08/01 07:10:23 - mmengine - INFO - Epoch(train) [76][400/940] lr: 1.0000e-03 eta: 4:11:28 time: 0.5598 data_time: 0.0344 memory: 8322 grad_norm: 4.7557 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9869 loss: 0.9869 2022/08/01 07:10:38 - mmengine - INFO - Epoch(train) [76][420/940] lr: 1.0000e-03 eta: 4:11:15 time: 0.7397 data_time: 0.0343 memory: 8322 grad_norm: 4.7399 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0723 loss: 1.0723 2022/08/01 07:10:50 - mmengine - INFO - Epoch(train) [76][440/940] lr: 1.0000e-03 eta: 4:11:02 time: 0.5685 data_time: 0.0375 memory: 8322 grad_norm: 4.8529 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0811 loss: 1.0811 2022/08/01 07:11:05 - mmengine - INFO - Epoch(train) [76][460/940] lr: 1.0000e-03 eta: 4:10:49 time: 0.7720 data_time: 0.0277 memory: 8322 grad_norm: 4.7620 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2322 loss: 1.2322 2022/08/01 07:11:16 - mmengine - INFO - Epoch(train) [76][480/940] lr: 1.0000e-03 eta: 4:10:36 time: 0.5710 data_time: 0.0399 memory: 8322 grad_norm: 4.9062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0015 loss: 1.0015 2022/08/01 07:11:30 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:11:30 - mmengine - INFO - Epoch(train) [76][500/940] lr: 1.0000e-03 eta: 4:10:23 time: 0.6696 data_time: 0.0422 memory: 8322 grad_norm: 4.7340 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1058 loss: 1.1058 2022/08/01 07:11:40 - mmengine - INFO - Epoch(train) [76][520/940] lr: 1.0000e-03 eta: 4:10:09 time: 0.5135 data_time: 0.0346 memory: 8322 grad_norm: 4.7717 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0430 loss: 1.0430 2022/08/01 07:11:55 - mmengine - INFO - Epoch(train) [76][540/940] lr: 1.0000e-03 eta: 4:09:56 time: 0.7525 data_time: 0.0339 memory: 8322 grad_norm: 4.8092 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0255 loss: 1.0255 2022/08/01 07:12:06 - mmengine - INFO - Epoch(train) [76][560/940] lr: 1.0000e-03 eta: 4:09:43 time: 0.5516 data_time: 0.0336 memory: 8322 grad_norm: 4.7434 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9776 loss: 0.9776 2022/08/01 07:12:21 - mmengine - INFO - Epoch(train) [76][580/940] lr: 1.0000e-03 eta: 4:09:30 time: 0.7188 data_time: 0.0383 memory: 8322 grad_norm: 4.8679 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0327 loss: 1.0327 2022/08/01 07:12:32 - mmengine - INFO - Epoch(train) [76][600/940] lr: 1.0000e-03 eta: 4:09:16 time: 0.5630 data_time: 0.0315 memory: 8322 grad_norm: 4.7470 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9869 loss: 0.9869 2022/08/01 07:12:45 - mmengine - INFO - Epoch(train) [76][620/940] lr: 1.0000e-03 eta: 4:09:03 time: 0.6721 data_time: 0.0516 memory: 8322 grad_norm: 4.7527 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9990 loss: 0.9990 2022/08/01 07:12:58 - mmengine - INFO - Epoch(train) [76][640/940] lr: 1.0000e-03 eta: 4:08:50 time: 0.6132 data_time: 0.0417 memory: 8322 grad_norm: 4.7288 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0405 loss: 1.0405 2022/08/01 07:13:11 - mmengine - INFO - Epoch(train) [76][660/940] lr: 1.0000e-03 eta: 4:08:37 time: 0.6840 data_time: 0.0356 memory: 8322 grad_norm: 4.7570 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 0.9883 loss: 0.9883 2022/08/01 07:13:23 - mmengine - INFO - Epoch(train) [76][680/940] lr: 1.0000e-03 eta: 4:08:24 time: 0.5753 data_time: 0.0411 memory: 8322 grad_norm: 4.8574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/08/01 07:13:38 - mmengine - INFO - Epoch(train) [76][700/940] lr: 1.0000e-03 eta: 4:08:11 time: 0.7470 data_time: 0.0348 memory: 8322 grad_norm: 4.7875 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1151 loss: 1.1151 2022/08/01 07:13:50 - mmengine - INFO - Epoch(train) [76][720/940] lr: 1.0000e-03 eta: 4:07:58 time: 0.5961 data_time: 0.0399 memory: 8322 grad_norm: 4.7729 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1442 loss: 1.1442 2022/08/01 07:14:03 - mmengine - INFO - Epoch(train) [76][740/940] lr: 1.0000e-03 eta: 4:07:45 time: 0.6538 data_time: 0.0336 memory: 8322 grad_norm: 4.8116 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0692 loss: 1.0692 2022/08/01 07:14:15 - mmengine - INFO - Epoch(train) [76][760/940] lr: 1.0000e-03 eta: 4:07:31 time: 0.6232 data_time: 0.0355 memory: 8322 grad_norm: 4.7415 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0129 loss: 1.0129 2022/08/01 07:14:29 - mmengine - INFO - Epoch(train) [76][780/940] lr: 1.0000e-03 eta: 4:07:19 time: 0.6941 data_time: 0.0370 memory: 8322 grad_norm: 4.7334 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1201 loss: 1.1201 2022/08/01 07:14:41 - mmengine - INFO - Epoch(train) [76][800/940] lr: 1.0000e-03 eta: 4:07:05 time: 0.5820 data_time: 0.0270 memory: 8322 grad_norm: 4.7192 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0616 loss: 1.0616 2022/08/01 07:14:56 - mmengine - INFO - Epoch(train) [76][820/940] lr: 1.0000e-03 eta: 4:06:53 time: 0.7728 data_time: 0.0351 memory: 8322 grad_norm: 4.8965 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 1.0963 loss: 1.0963 2022/08/01 07:15:06 - mmengine - INFO - Epoch(train) [76][840/940] lr: 1.0000e-03 eta: 4:06:39 time: 0.5080 data_time: 0.0295 memory: 8322 grad_norm: 4.7355 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0448 loss: 1.0448 2022/08/01 07:15:22 - mmengine - INFO - Epoch(train) [76][860/940] lr: 1.0000e-03 eta: 4:06:27 time: 0.7699 data_time: 0.0347 memory: 8322 grad_norm: 4.8390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1709 loss: 1.1709 2022/08/01 07:15:34 - mmengine - INFO - Epoch(train) [76][880/940] lr: 1.0000e-03 eta: 4:06:13 time: 0.5973 data_time: 0.0283 memory: 8322 grad_norm: 4.7425 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0206 loss: 1.0206 2022/08/01 07:15:47 - mmengine - INFO - Epoch(train) [76][900/940] lr: 1.0000e-03 eta: 4:06:00 time: 0.6708 data_time: 0.0403 memory: 8322 grad_norm: 4.7359 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1293 loss: 1.1293 2022/08/01 07:15:58 - mmengine - INFO - Epoch(train) [76][920/940] lr: 1.0000e-03 eta: 4:05:46 time: 0.5329 data_time: 0.0290 memory: 8322 grad_norm: 4.7868 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1142 loss: 1.1142 2022/08/01 07:16:10 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:16:10 - mmengine - INFO - Epoch(train) [76][940/940] lr: 1.0000e-03 eta: 4:05:33 time: 0.6305 data_time: 0.0265 memory: 8322 grad_norm: 4.9369 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0554 loss: 1.0554 2022/08/01 07:16:24 - mmengine - INFO - Epoch(val) [76][20/78] eta: 0:00:40 time: 0.6912 data_time: 0.6220 memory: 1463 2022/08/01 07:16:33 - mmengine - INFO - Epoch(val) [76][40/78] eta: 0:00:15 time: 0.4184 data_time: 0.3508 memory: 1463 2022/08/01 07:16:45 - mmengine - INFO - Epoch(val) [76][60/78] eta: 0:00:11 time: 0.6323 data_time: 0.5702 memory: 1463 2022/08/01 07:16:56 - mmengine - INFO - Epoch(val) [76][78/78] acc/top1: 0.6898 acc/top5: 0.8835 acc/mean1: 0.6898 2022/08/01 07:17:13 - mmengine - INFO - Epoch(train) [77][20/940] lr: 1.0000e-03 eta: 4:05:21 time: 0.8491 data_time: 0.6114 memory: 8322 grad_norm: 4.7906 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2219 loss: 1.2219 2022/08/01 07:17:24 - mmengine - INFO - Epoch(train) [77][40/940] lr: 1.0000e-03 eta: 4:05:08 time: 0.5611 data_time: 0.2982 memory: 8322 grad_norm: 4.8233 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1206 loss: 1.1206 2022/08/01 07:17:39 - mmengine - INFO - Epoch(train) [77][60/940] lr: 1.0000e-03 eta: 4:04:55 time: 0.7279 data_time: 0.4962 memory: 8322 grad_norm: 4.7119 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0253 loss: 1.0253 2022/08/01 07:17:50 - mmengine - INFO - Epoch(train) [77][80/940] lr: 1.0000e-03 eta: 4:04:41 time: 0.5671 data_time: 0.2964 memory: 8322 grad_norm: 4.7801 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0122 loss: 1.0122 2022/08/01 07:18:05 - mmengine - INFO - Epoch(train) [77][100/940] lr: 1.0000e-03 eta: 4:04:29 time: 0.7409 data_time: 0.5021 memory: 8322 grad_norm: 4.6637 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0047 loss: 1.0047 2022/08/01 07:18:16 - mmengine - INFO - Epoch(train) [77][120/940] lr: 1.0000e-03 eta: 4:04:15 time: 0.5306 data_time: 0.3185 memory: 8322 grad_norm: 4.7621 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0154 loss: 1.0154 2022/08/01 07:18:30 - mmengine - INFO - Epoch(train) [77][140/940] lr: 1.0000e-03 eta: 4:04:03 time: 0.7408 data_time: 0.4619 memory: 8322 grad_norm: 4.6637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0937 loss: 1.0937 2022/08/01 07:18:41 - mmengine - INFO - Epoch(train) [77][160/940] lr: 1.0000e-03 eta: 4:03:49 time: 0.5538 data_time: 0.2683 memory: 8322 grad_norm: 4.8092 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0021 loss: 1.0021 2022/08/01 07:18:56 - mmengine - INFO - Epoch(train) [77][180/940] lr: 1.0000e-03 eta: 4:03:36 time: 0.7090 data_time: 0.3061 memory: 8322 grad_norm: 4.7353 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.0958 loss: 1.0958 2022/08/01 07:19:07 - mmengine - INFO - Epoch(train) [77][200/940] lr: 1.0000e-03 eta: 4:03:23 time: 0.5568 data_time: 0.1200 memory: 8322 grad_norm: 4.8210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/08/01 07:19:23 - mmengine - INFO - Epoch(train) [77][220/940] lr: 1.0000e-03 eta: 4:03:10 time: 0.7944 data_time: 0.0997 memory: 8322 grad_norm: 4.7466 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0601 loss: 1.0601 2022/08/01 07:19:34 - mmengine - INFO - Epoch(train) [77][240/940] lr: 1.0000e-03 eta: 4:02:57 time: 0.5427 data_time: 0.0532 memory: 8322 grad_norm: 4.7164 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0248 loss: 1.0248 2022/08/01 07:19:50 - mmengine - INFO - Epoch(train) [77][260/940] lr: 1.0000e-03 eta: 4:02:45 time: 0.8072 data_time: 0.1254 memory: 8322 grad_norm: 4.8162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2138 loss: 1.2138 2022/08/01 07:20:01 - mmengine - INFO - Epoch(train) [77][280/940] lr: 1.0000e-03 eta: 4:02:31 time: 0.5556 data_time: 0.0509 memory: 8322 grad_norm: 4.7375 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.9610 loss: 0.9610 2022/08/01 07:20:16 - mmengine - INFO - Epoch(train) [77][300/940] lr: 1.0000e-03 eta: 4:02:18 time: 0.7622 data_time: 0.0853 memory: 8322 grad_norm: 4.8550 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0455 loss: 1.0455 2022/08/01 07:20:26 - mmengine - INFO - Epoch(train) [77][320/940] lr: 1.0000e-03 eta: 4:02:04 time: 0.4929 data_time: 0.0555 memory: 8322 grad_norm: 4.6988 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0510 loss: 1.0510 2022/08/01 07:20:39 - mmengine - INFO - Epoch(train) [77][340/940] lr: 1.0000e-03 eta: 4:01:51 time: 0.6721 data_time: 0.2522 memory: 8322 grad_norm: 4.6524 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0605 loss: 1.0605 2022/08/01 07:20:50 - mmengine - INFO - Epoch(train) [77][360/940] lr: 1.0000e-03 eta: 4:01:38 time: 0.5400 data_time: 0.1831 memory: 8322 grad_norm: 4.7304 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0979 loss: 1.0979 2022/08/01 07:21:05 - mmengine - INFO - Epoch(train) [77][380/940] lr: 1.0000e-03 eta: 4:01:25 time: 0.7397 data_time: 0.2760 memory: 8322 grad_norm: 4.8639 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0958 loss: 1.0958 2022/08/01 07:21:16 - mmengine - INFO - Epoch(train) [77][400/940] lr: 1.0000e-03 eta: 4:01:12 time: 0.5596 data_time: 0.2234 memory: 8322 grad_norm: 4.7264 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1057 loss: 1.1057 2022/08/01 07:21:30 - mmengine - INFO - Epoch(train) [77][420/940] lr: 1.0000e-03 eta: 4:00:59 time: 0.6724 data_time: 0.3589 memory: 8322 grad_norm: 4.7377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0783 loss: 1.0783 2022/08/01 07:21:46 - mmengine - INFO - Epoch(train) [77][440/940] lr: 1.0000e-03 eta: 4:00:47 time: 0.8358 data_time: 0.1532 memory: 8322 grad_norm: 4.6957 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9862 loss: 0.9862 2022/08/01 07:21:58 - mmengine - INFO - Epoch(train) [77][460/940] lr: 1.0000e-03 eta: 4:00:33 time: 0.5568 data_time: 0.0355 memory: 8322 grad_norm: 4.8389 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1453 loss: 1.1453 2022/08/01 07:22:10 - mmengine - INFO - Epoch(train) [77][480/940] lr: 1.0000e-03 eta: 4:00:20 time: 0.6334 data_time: 0.0491 memory: 8322 grad_norm: 4.8092 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9734 loss: 0.9734 2022/08/01 07:22:23 - mmengine - INFO - Epoch(train) [77][500/940] lr: 1.0000e-03 eta: 4:00:07 time: 0.6153 data_time: 0.0375 memory: 8322 grad_norm: 4.9319 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0953 loss: 1.0953 2022/08/01 07:22:36 - mmengine - INFO - Epoch(train) [77][520/940] lr: 1.0000e-03 eta: 3:59:53 time: 0.6553 data_time: 0.0316 memory: 8322 grad_norm: 4.8242 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1008 loss: 1.1008 2022/08/01 07:22:49 - mmengine - INFO - Epoch(train) [77][540/940] lr: 1.0000e-03 eta: 3:59:40 time: 0.6514 data_time: 0.0354 memory: 8322 grad_norm: 4.8076 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0492 loss: 1.0492 2022/08/01 07:23:00 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:23:00 - mmengine - INFO - Epoch(train) [77][560/940] lr: 1.0000e-03 eta: 3:59:27 time: 0.5811 data_time: 0.0393 memory: 8322 grad_norm: 4.8102 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0144 loss: 1.0144 2022/08/01 07:23:15 - mmengine - INFO - Epoch(train) [77][580/940] lr: 1.0000e-03 eta: 3:59:14 time: 0.7388 data_time: 0.0389 memory: 8322 grad_norm: 4.8659 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0586 loss: 1.0586 2022/08/01 07:23:26 - mmengine - INFO - Epoch(train) [77][600/940] lr: 1.0000e-03 eta: 3:59:01 time: 0.5664 data_time: 0.0317 memory: 8322 grad_norm: 4.8251 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0004 loss: 1.0004 2022/08/01 07:23:40 - mmengine - INFO - Epoch(train) [77][620/940] lr: 1.0000e-03 eta: 3:58:48 time: 0.6648 data_time: 0.0336 memory: 8322 grad_norm: 4.8098 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0109 loss: 1.0109 2022/08/01 07:23:52 - mmengine - INFO - Epoch(train) [77][640/940] lr: 1.0000e-03 eta: 3:58:34 time: 0.6141 data_time: 0.0410 memory: 8322 grad_norm: 4.8438 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/08/01 07:24:05 - mmengine - INFO - Epoch(train) [77][660/940] lr: 1.0000e-03 eta: 3:58:22 time: 0.6674 data_time: 0.0280 memory: 8322 grad_norm: 4.7711 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0898 loss: 1.0898 2022/08/01 07:24:18 - mmengine - INFO - Epoch(train) [77][680/940] lr: 1.0000e-03 eta: 3:58:08 time: 0.6077 data_time: 0.0607 memory: 8322 grad_norm: 4.8693 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0006 loss: 1.0006 2022/08/01 07:24:31 - mmengine - INFO - Epoch(train) [77][700/940] lr: 1.0000e-03 eta: 3:57:55 time: 0.6657 data_time: 0.0302 memory: 8322 grad_norm: 4.7786 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1428 loss: 1.1428 2022/08/01 07:24:43 - mmengine - INFO - Epoch(train) [77][720/940] lr: 1.0000e-03 eta: 3:57:42 time: 0.6096 data_time: 0.0696 memory: 8322 grad_norm: 4.7840 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0131 loss: 1.0131 2022/08/01 07:24:57 - mmengine - INFO - Epoch(train) [77][740/940] lr: 1.0000e-03 eta: 3:57:29 time: 0.7047 data_time: 0.0407 memory: 8322 grad_norm: 4.7923 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0172 loss: 1.0172 2022/08/01 07:25:08 - mmengine - INFO - Epoch(train) [77][760/940] lr: 1.0000e-03 eta: 3:57:16 time: 0.5650 data_time: 0.0382 memory: 8322 grad_norm: 4.7186 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1351 loss: 1.1351 2022/08/01 07:25:23 - mmengine - INFO - Epoch(train) [77][780/940] lr: 1.0000e-03 eta: 3:57:03 time: 0.7154 data_time: 0.0499 memory: 8322 grad_norm: 4.8210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9942 loss: 0.9942 2022/08/01 07:25:34 - mmengine - INFO - Epoch(train) [77][800/940] lr: 1.0000e-03 eta: 3:56:49 time: 0.5827 data_time: 0.1050 memory: 8322 grad_norm: 4.7671 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/08/01 07:25:48 - mmengine - INFO - Epoch(train) [77][820/940] lr: 1.0000e-03 eta: 3:56:36 time: 0.6619 data_time: 0.0700 memory: 8322 grad_norm: 4.9671 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2391 loss: 1.2391 2022/08/01 07:26:01 - mmengine - INFO - Epoch(train) [77][840/940] lr: 1.0000e-03 eta: 3:56:23 time: 0.6700 data_time: 0.1649 memory: 8322 grad_norm: 4.6476 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8832 loss: 0.8832 2022/08/01 07:26:13 - mmengine - INFO - Epoch(train) [77][860/940] lr: 1.0000e-03 eta: 3:56:10 time: 0.6159 data_time: 0.0574 memory: 8322 grad_norm: 4.8727 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0424 loss: 1.0424 2022/08/01 07:26:25 - mmengine - INFO - Epoch(train) [77][880/940] lr: 1.0000e-03 eta: 3:55:57 time: 0.6019 data_time: 0.0410 memory: 8322 grad_norm: 4.7736 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0545 loss: 1.0545 2022/08/01 07:26:40 - mmengine - INFO - Epoch(train) [77][900/940] lr: 1.0000e-03 eta: 3:55:44 time: 0.7094 data_time: 0.0305 memory: 8322 grad_norm: 4.7747 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1097 loss: 1.1097 2022/08/01 07:26:52 - mmengine - INFO - Epoch(train) [77][920/940] lr: 1.0000e-03 eta: 3:55:31 time: 0.6019 data_time: 0.0403 memory: 8322 grad_norm: 4.6471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0223 loss: 1.0223 2022/08/01 07:27:03 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:27:03 - mmengine - INFO - Epoch(train) [77][940/940] lr: 1.0000e-03 eta: 3:55:17 time: 0.5675 data_time: 0.0255 memory: 8322 grad_norm: 5.0177 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/08/01 07:27:17 - mmengine - INFO - Epoch(val) [77][20/78] eta: 0:00:38 time: 0.6723 data_time: 0.6092 memory: 1463 2022/08/01 07:27:26 - mmengine - INFO - Epoch(val) [77][40/78] eta: 0:00:17 time: 0.4696 data_time: 0.3906 memory: 1463 2022/08/01 07:27:38 - mmengine - INFO - Epoch(val) [77][60/78] eta: 0:00:11 time: 0.6181 data_time: 0.5526 memory: 1463 2022/08/01 07:27:49 - mmengine - INFO - Epoch(val) [77][78/78] acc/top1: 0.6881 acc/top5: 0.8819 acc/mean1: 0.6879 2022/08/01 07:28:06 - mmengine - INFO - Epoch(train) [78][20/940] lr: 1.0000e-03 eta: 3:55:05 time: 0.8650 data_time: 0.4536 memory: 8322 grad_norm: 4.7061 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0160 loss: 1.0160 2022/08/01 07:28:17 - mmengine - INFO - Epoch(train) [78][40/940] lr: 1.0000e-03 eta: 3:54:52 time: 0.5686 data_time: 0.1351 memory: 8322 grad_norm: 4.8020 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0298 loss: 1.0298 2022/08/01 07:28:31 - mmengine - INFO - Epoch(train) [78][60/940] lr: 1.0000e-03 eta: 3:54:39 time: 0.6899 data_time: 0.1663 memory: 8322 grad_norm: 4.7043 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1332 loss: 1.1332 2022/08/01 07:28:42 - mmengine - INFO - Epoch(train) [78][80/940] lr: 1.0000e-03 eta: 3:54:25 time: 0.5640 data_time: 0.1274 memory: 8322 grad_norm: 4.8027 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1436 loss: 1.1436 2022/08/01 07:28:58 - mmengine - INFO - Epoch(train) [78][100/940] lr: 1.0000e-03 eta: 3:54:13 time: 0.7987 data_time: 0.1257 memory: 8322 grad_norm: 4.7118 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0626 loss: 1.0626 2022/08/01 07:29:10 - mmengine - INFO - Epoch(train) [78][120/940] lr: 1.0000e-03 eta: 3:53:59 time: 0.5563 data_time: 0.0408 memory: 8322 grad_norm: 4.8874 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2088 loss: 1.2088 2022/08/01 07:29:24 - mmengine - INFO - Epoch(train) [78][140/940] lr: 1.0000e-03 eta: 3:53:47 time: 0.6993 data_time: 0.0410 memory: 8322 grad_norm: 4.9407 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0992 loss: 1.0992 2022/08/01 07:29:35 - mmengine - INFO - Epoch(train) [78][160/940] lr: 1.0000e-03 eta: 3:53:33 time: 0.5673 data_time: 0.1007 memory: 8322 grad_norm: 4.7103 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0290 loss: 1.0290 2022/08/01 07:29:49 - mmengine - INFO - Epoch(train) [78][180/940] lr: 1.0000e-03 eta: 3:53:20 time: 0.7026 data_time: 0.1287 memory: 8322 grad_norm: 4.8263 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0663 loss: 1.0663 2022/08/01 07:30:00 - mmengine - INFO - Epoch(train) [78][200/940] lr: 1.0000e-03 eta: 3:53:07 time: 0.5661 data_time: 0.0614 memory: 8322 grad_norm: 4.8179 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0730 loss: 1.0730 2022/08/01 07:30:15 - mmengine - INFO - Epoch(train) [78][220/940] lr: 1.0000e-03 eta: 3:52:54 time: 0.7419 data_time: 0.0981 memory: 8322 grad_norm: 4.7507 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0519 loss: 1.0519 2022/08/01 07:30:27 - mmengine - INFO - Epoch(train) [78][240/940] lr: 1.0000e-03 eta: 3:52:41 time: 0.5828 data_time: 0.1231 memory: 8322 grad_norm: 4.8260 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0420 loss: 1.0420 2022/08/01 07:30:41 - mmengine - INFO - Epoch(train) [78][260/940] lr: 1.0000e-03 eta: 3:52:28 time: 0.7228 data_time: 0.2169 memory: 8322 grad_norm: 4.8249 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0170 loss: 1.0170 2022/08/01 07:30:52 - mmengine - INFO - Epoch(train) [78][280/940] lr: 1.0000e-03 eta: 3:52:14 time: 0.5287 data_time: 0.2575 memory: 8322 grad_norm: 4.7957 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0728 loss: 1.0728 2022/08/01 07:31:08 - mmengine - INFO - Epoch(train) [78][300/940] lr: 1.0000e-03 eta: 3:52:02 time: 0.7928 data_time: 0.3087 memory: 8322 grad_norm: 4.7095 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0890 loss: 1.0890 2022/08/01 07:31:19 - mmengine - INFO - Epoch(train) [78][320/940] lr: 1.0000e-03 eta: 3:51:48 time: 0.5526 data_time: 0.0446 memory: 8322 grad_norm: 4.7409 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0480 loss: 1.0480 2022/08/01 07:31:34 - mmengine - INFO - Epoch(train) [78][340/940] lr: 1.0000e-03 eta: 3:51:36 time: 0.7525 data_time: 0.0723 memory: 8322 grad_norm: 4.8209 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9115 loss: 0.9115 2022/08/01 07:31:45 - mmengine - INFO - Epoch(train) [78][360/940] lr: 1.0000e-03 eta: 3:51:22 time: 0.5718 data_time: 0.0254 memory: 8322 grad_norm: 4.7705 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0167 loss: 1.0167 2022/08/01 07:32:00 - mmengine - INFO - Epoch(train) [78][380/940] lr: 1.0000e-03 eta: 3:51:10 time: 0.7504 data_time: 0.0342 memory: 8322 grad_norm: 4.8314 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1530 loss: 1.1530 2022/08/01 07:32:11 - mmengine - INFO - Epoch(train) [78][400/940] lr: 1.0000e-03 eta: 3:50:56 time: 0.5316 data_time: 0.0414 memory: 8322 grad_norm: 4.8215 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9573 loss: 0.9573 2022/08/01 07:32:25 - mmengine - INFO - Epoch(train) [78][420/940] lr: 1.0000e-03 eta: 3:50:43 time: 0.7164 data_time: 0.0414 memory: 8322 grad_norm: 4.7728 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1309 loss: 1.1309 2022/08/01 07:32:37 - mmengine - INFO - Epoch(train) [78][440/940] lr: 1.0000e-03 eta: 3:50:30 time: 0.5733 data_time: 0.0316 memory: 8322 grad_norm: 4.7170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0233 loss: 1.0233 2022/08/01 07:32:50 - mmengine - INFO - Epoch(train) [78][460/940] lr: 1.0000e-03 eta: 3:50:17 time: 0.6330 data_time: 0.0336 memory: 8322 grad_norm: 4.7330 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0962 loss: 1.0962 2022/08/01 07:33:01 - mmengine - INFO - Epoch(train) [78][480/940] lr: 1.0000e-03 eta: 3:50:03 time: 0.5701 data_time: 0.0426 memory: 8322 grad_norm: 4.7415 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1028 loss: 1.1028 2022/08/01 07:33:15 - mmengine - INFO - Epoch(train) [78][500/940] lr: 1.0000e-03 eta: 3:49:51 time: 0.7154 data_time: 0.0406 memory: 8322 grad_norm: 4.6782 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0346 loss: 1.0346 2022/08/01 07:33:27 - mmengine - INFO - Epoch(train) [78][520/940] lr: 1.0000e-03 eta: 3:49:37 time: 0.6008 data_time: 0.0972 memory: 8322 grad_norm: 4.8134 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0007 loss: 1.0007 2022/08/01 07:33:41 - mmengine - INFO - Epoch(train) [78][540/940] lr: 1.0000e-03 eta: 3:49:24 time: 0.7080 data_time: 0.0665 memory: 8322 grad_norm: 4.8681 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1338 loss: 1.1338 2022/08/01 07:33:55 - mmengine - INFO - Epoch(train) [78][560/940] lr: 1.0000e-03 eta: 3:49:12 time: 0.6889 data_time: 0.0351 memory: 8322 grad_norm: 4.9357 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0097 loss: 1.0097 2022/08/01 07:34:07 - mmengine - INFO - Epoch(train) [78][580/940] lr: 1.0000e-03 eta: 3:48:58 time: 0.5808 data_time: 0.0381 memory: 8322 grad_norm: 4.9402 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0596 loss: 1.0596 2022/08/01 07:34:20 - mmengine - INFO - Epoch(train) [78][600/940] lr: 1.0000e-03 eta: 3:48:45 time: 0.6629 data_time: 0.0334 memory: 8322 grad_norm: 4.9418 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1356 loss: 1.1356 2022/08/01 07:34:32 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:34:32 - mmengine - INFO - Epoch(train) [78][620/940] lr: 1.0000e-03 eta: 3:48:32 time: 0.6072 data_time: 0.0415 memory: 8322 grad_norm: 4.8176 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1290 loss: 1.1290 2022/08/01 07:34:46 - mmengine - INFO - Epoch(train) [78][640/940] lr: 1.0000e-03 eta: 3:48:19 time: 0.7001 data_time: 0.0272 memory: 8322 grad_norm: 4.8767 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1118 loss: 1.1118 2022/08/01 07:34:58 - mmengine - INFO - Epoch(train) [78][660/940] lr: 1.0000e-03 eta: 3:48:06 time: 0.6098 data_time: 0.0489 memory: 8322 grad_norm: 4.7485 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1147 loss: 1.1147 2022/08/01 07:35:10 - mmengine - INFO - Epoch(train) [78][680/940] lr: 1.0000e-03 eta: 3:47:52 time: 0.5984 data_time: 0.1133 memory: 8322 grad_norm: 4.7463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1455 loss: 1.1455 2022/08/01 07:35:24 - mmengine - INFO - Epoch(train) [78][700/940] lr: 1.0000e-03 eta: 3:47:39 time: 0.6722 data_time: 0.2224 memory: 8322 grad_norm: 4.7800 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1324 loss: 1.1324 2022/08/01 07:35:36 - mmengine - INFO - Epoch(train) [78][720/940] lr: 1.0000e-03 eta: 3:47:26 time: 0.6214 data_time: 0.0562 memory: 8322 grad_norm: 4.8350 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0806 loss: 1.0806 2022/08/01 07:35:49 - mmengine - INFO - Epoch(train) [78][740/940] lr: 1.0000e-03 eta: 3:47:13 time: 0.6514 data_time: 0.0354 memory: 8322 grad_norm: 4.7969 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0812 loss: 1.0812 2022/08/01 07:36:01 - mmengine - INFO - Epoch(train) [78][760/940] lr: 1.0000e-03 eta: 3:47:00 time: 0.5927 data_time: 0.0322 memory: 8322 grad_norm: 4.7320 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0743 loss: 1.0743 2022/08/01 07:36:16 - mmengine - INFO - Epoch(train) [78][780/940] lr: 1.0000e-03 eta: 3:46:47 time: 0.7648 data_time: 0.0435 memory: 8322 grad_norm: 4.8688 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0191 loss: 1.0191 2022/08/01 07:36:28 - mmengine - INFO - Epoch(train) [78][800/940] lr: 1.0000e-03 eta: 3:46:34 time: 0.5590 data_time: 0.0306 memory: 8322 grad_norm: 4.9208 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.8994 loss: 0.8994 2022/08/01 07:36:40 - mmengine - INFO - Epoch(train) [78][820/940] lr: 1.0000e-03 eta: 3:46:20 time: 0.6384 data_time: 0.0809 memory: 8322 grad_norm: 4.8453 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0437 loss: 1.0437 2022/08/01 07:36:54 - mmengine - INFO - Epoch(train) [78][840/940] lr: 1.0000e-03 eta: 3:46:07 time: 0.6630 data_time: 0.0793 memory: 8322 grad_norm: 4.8312 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0875 loss: 1.0875 2022/08/01 07:37:07 - mmengine - INFO - Epoch(train) [78][860/940] lr: 1.0000e-03 eta: 3:45:54 time: 0.6502 data_time: 0.0347 memory: 8322 grad_norm: 4.6517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0867 loss: 1.0867 2022/08/01 07:37:19 - mmengine - INFO - Epoch(train) [78][880/940] lr: 1.0000e-03 eta: 3:45:41 time: 0.6034 data_time: 0.0265 memory: 8322 grad_norm: 4.7414 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/08/01 07:37:33 - mmengine - INFO - Epoch(train) [78][900/940] lr: 1.0000e-03 eta: 3:45:28 time: 0.7298 data_time: 0.0369 memory: 8322 grad_norm: 4.7583 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0399 loss: 1.0399 2022/08/01 07:37:45 - mmengine - INFO - Epoch(train) [78][920/940] lr: 1.0000e-03 eta: 3:45:15 time: 0.5969 data_time: 0.0440 memory: 8322 grad_norm: 4.9103 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1429 loss: 1.1429 2022/08/01 07:37:56 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:37:56 - mmengine - INFO - Epoch(train) [78][940/940] lr: 1.0000e-03 eta: 3:45:01 time: 0.5161 data_time: 0.0269 memory: 8322 grad_norm: 5.1489 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1540 loss: 1.1540 2022/08/01 07:37:56 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/08/01 07:38:11 - mmengine - INFO - Epoch(val) [78][20/78] eta: 0:00:39 time: 0.6828 data_time: 0.6207 memory: 1463 2022/08/01 07:38:20 - mmengine - INFO - Epoch(val) [78][40/78] eta: 0:00:17 time: 0.4494 data_time: 0.3858 memory: 1463 2022/08/01 07:38:33 - mmengine - INFO - Epoch(val) [78][60/78] eta: 0:00:11 time: 0.6346 data_time: 0.5439 memory: 1463 2022/08/01 07:38:43 - mmengine - INFO - Epoch(val) [78][78/78] acc/top1: 0.6865 acc/top5: 0.8810 acc/mean1: 0.6863 2022/08/01 07:38:59 - mmengine - INFO - Epoch(train) [79][20/940] lr: 1.0000e-03 eta: 3:44:49 time: 0.8027 data_time: 0.4146 memory: 8322 grad_norm: 4.8608 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.0344 loss: 1.0344 2022/08/01 07:39:10 - mmengine - INFO - Epoch(train) [79][40/940] lr: 1.0000e-03 eta: 3:44:35 time: 0.5664 data_time: 0.2126 memory: 8322 grad_norm: 4.8103 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1315 loss: 1.1315 2022/08/01 07:39:25 - mmengine - INFO - Epoch(train) [79][60/940] lr: 1.0000e-03 eta: 3:44:23 time: 0.7246 data_time: 0.1618 memory: 8322 grad_norm: 4.8848 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0418 loss: 1.0418 2022/08/01 07:39:37 - mmengine - INFO - Epoch(train) [79][80/940] lr: 1.0000e-03 eta: 3:44:10 time: 0.6080 data_time: 0.0281 memory: 8322 grad_norm: 4.8025 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0529 loss: 1.0529 2022/08/01 07:39:50 - mmengine - INFO - Epoch(train) [79][100/940] lr: 1.0000e-03 eta: 3:43:57 time: 0.6725 data_time: 0.0397 memory: 8322 grad_norm: 4.7460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9976 loss: 0.9976 2022/08/01 07:40:03 - mmengine - INFO - Epoch(train) [79][120/940] lr: 1.0000e-03 eta: 3:43:43 time: 0.6384 data_time: 0.0380 memory: 8322 grad_norm: 4.7992 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0060 loss: 1.0060 2022/08/01 07:40:16 - mmengine - INFO - Epoch(train) [79][140/940] lr: 1.0000e-03 eta: 3:43:30 time: 0.6356 data_time: 0.0380 memory: 8322 grad_norm: 4.8639 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0047 loss: 1.0047 2022/08/01 07:40:30 - mmengine - INFO - Epoch(train) [79][160/940] lr: 1.0000e-03 eta: 3:43:17 time: 0.6973 data_time: 0.0337 memory: 8322 grad_norm: 4.9140 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1597 loss: 1.1597 2022/08/01 07:40:42 - mmengine - INFO - Epoch(train) [79][180/940] lr: 1.0000e-03 eta: 3:43:04 time: 0.6228 data_time: 0.0387 memory: 8322 grad_norm: 4.7216 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9685 loss: 0.9685 2022/08/01 07:40:54 - mmengine - INFO - Epoch(train) [79][200/940] lr: 1.0000e-03 eta: 3:42:51 time: 0.5794 data_time: 0.0297 memory: 8322 grad_norm: 4.9309 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9846 loss: 0.9846 2022/08/01 07:41:08 - mmengine - INFO - Epoch(train) [79][220/940] lr: 1.0000e-03 eta: 3:42:38 time: 0.6987 data_time: 0.0328 memory: 8322 grad_norm: 4.7327 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0570 loss: 1.0570 2022/08/01 07:41:20 - mmengine - INFO - Epoch(train) [79][240/940] lr: 1.0000e-03 eta: 3:42:25 time: 0.6076 data_time: 0.0506 memory: 8322 grad_norm: 4.8254 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9958 loss: 0.9958 2022/08/01 07:41:33 - mmengine - INFO - Epoch(train) [79][260/940] lr: 1.0000e-03 eta: 3:42:12 time: 0.6613 data_time: 0.0361 memory: 8322 grad_norm: 4.7061 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9340 loss: 0.9340 2022/08/01 07:41:46 - mmengine - INFO - Epoch(train) [79][280/940] lr: 1.0000e-03 eta: 3:41:59 time: 0.6485 data_time: 0.0405 memory: 8322 grad_norm: 4.8089 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/08/01 07:42:00 - mmengine - INFO - Epoch(train) [79][300/940] lr: 1.0000e-03 eta: 3:41:46 time: 0.6787 data_time: 0.0358 memory: 8322 grad_norm: 4.8808 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1075 loss: 1.1075 2022/08/01 07:42:12 - mmengine - INFO - Epoch(train) [79][320/940] lr: 1.0000e-03 eta: 3:41:32 time: 0.6145 data_time: 0.0339 memory: 8322 grad_norm: 4.6589 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0843 loss: 1.0843 2022/08/01 07:42:25 - mmengine - INFO - Epoch(train) [79][340/940] lr: 1.0000e-03 eta: 3:41:19 time: 0.6390 data_time: 0.0328 memory: 8322 grad_norm: 4.9605 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1002 loss: 1.1002 2022/08/01 07:42:38 - mmengine - INFO - Epoch(train) [79][360/940] lr: 1.0000e-03 eta: 3:41:06 time: 0.6532 data_time: 0.0331 memory: 8322 grad_norm: 4.7706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0933 loss: 1.0933 2022/08/01 07:42:50 - mmengine - INFO - Epoch(train) [79][380/940] lr: 1.0000e-03 eta: 3:40:53 time: 0.6018 data_time: 0.0334 memory: 8322 grad_norm: 4.7470 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0868 loss: 1.0868 2022/08/01 07:43:03 - mmengine - INFO - Epoch(train) [79][400/940] lr: 1.0000e-03 eta: 3:40:40 time: 0.6641 data_time: 0.0346 memory: 8322 grad_norm: 4.7747 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1109 loss: 1.1109 2022/08/01 07:43:15 - mmengine - INFO - Epoch(train) [79][420/940] lr: 1.0000e-03 eta: 3:40:27 time: 0.6151 data_time: 0.0347 memory: 8322 grad_norm: 4.6860 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0553 loss: 1.0553 2022/08/01 07:43:29 - mmengine - INFO - Epoch(train) [79][440/940] lr: 1.0000e-03 eta: 3:40:14 time: 0.6779 data_time: 0.0329 memory: 8322 grad_norm: 4.8071 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0610 loss: 1.0610 2022/08/01 07:43:41 - mmengine - INFO - Epoch(train) [79][460/940] lr: 1.0000e-03 eta: 3:40:00 time: 0.6018 data_time: 0.0624 memory: 8322 grad_norm: 4.9582 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1068 loss: 1.1068 2022/08/01 07:43:55 - mmengine - INFO - Epoch(train) [79][480/940] lr: 1.0000e-03 eta: 3:39:48 time: 0.7142 data_time: 0.1245 memory: 8322 grad_norm: 4.8127 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1328 loss: 1.1328 2022/08/01 07:44:08 - mmengine - INFO - Epoch(train) [79][500/940] lr: 1.0000e-03 eta: 3:39:34 time: 0.6289 data_time: 0.2225 memory: 8322 grad_norm: 4.8596 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1953 loss: 1.1953 2022/08/01 07:44:20 - mmengine - INFO - Epoch(train) [79][520/940] lr: 1.0000e-03 eta: 3:39:21 time: 0.6097 data_time: 0.2333 memory: 8322 grad_norm: 4.9093 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1606 loss: 1.1606 2022/08/01 07:44:34 - mmengine - INFO - Epoch(train) [79][540/940] lr: 1.0000e-03 eta: 3:39:08 time: 0.7113 data_time: 0.4151 memory: 8322 grad_norm: 4.7733 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0265 loss: 1.0265 2022/08/01 07:44:46 - mmengine - INFO - Epoch(train) [79][560/940] lr: 1.0000e-03 eta: 3:38:55 time: 0.5797 data_time: 0.2474 memory: 8322 grad_norm: 4.6436 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8716 loss: 0.8716 2022/08/01 07:44:59 - mmengine - INFO - Epoch(train) [79][580/940] lr: 1.0000e-03 eta: 3:38:42 time: 0.6730 data_time: 0.4258 memory: 8322 grad_norm: 4.6745 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9974 loss: 0.9974 2022/08/01 07:45:12 - mmengine - INFO - Epoch(train) [79][600/940] lr: 1.0000e-03 eta: 3:38:29 time: 0.6319 data_time: 0.1411 memory: 8322 grad_norm: 4.9105 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0943 loss: 1.0943 2022/08/01 07:45:24 - mmengine - INFO - Epoch(train) [79][620/940] lr: 1.0000e-03 eta: 3:38:15 time: 0.6020 data_time: 0.0471 memory: 8322 grad_norm: 4.7769 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1173 loss: 1.1173 2022/08/01 07:45:39 - mmengine - INFO - Epoch(train) [79][640/940] lr: 1.0000e-03 eta: 3:38:03 time: 0.7429 data_time: 0.0262 memory: 8322 grad_norm: 4.7726 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1570 loss: 1.1570 2022/08/01 07:45:51 - mmengine - INFO - Epoch(train) [79][660/940] lr: 1.0000e-03 eta: 3:37:50 time: 0.6076 data_time: 0.0365 memory: 8322 grad_norm: 4.9206 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9833 loss: 0.9833 2022/08/01 07:46:05 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:46:05 - mmengine - INFO - Epoch(train) [79][680/940] lr: 1.0000e-03 eta: 3:37:37 time: 0.7090 data_time: 0.0388 memory: 8322 grad_norm: 4.8183 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9964 loss: 0.9964 2022/08/01 07:46:17 - mmengine - INFO - Epoch(train) [79][700/940] lr: 1.0000e-03 eta: 3:37:23 time: 0.5714 data_time: 0.0447 memory: 8322 grad_norm: 4.8052 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0058 loss: 1.0058 2022/08/01 07:46:30 - mmengine - INFO - Epoch(train) [79][720/940] lr: 1.0000e-03 eta: 3:37:10 time: 0.6799 data_time: 0.0358 memory: 8322 grad_norm: 4.8437 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9871 loss: 0.9871 2022/08/01 07:46:42 - mmengine - INFO - Epoch(train) [79][740/940] lr: 1.0000e-03 eta: 3:36:57 time: 0.5621 data_time: 0.0378 memory: 8322 grad_norm: 4.8038 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1401 loss: 1.1401 2022/08/01 07:46:56 - mmengine - INFO - Epoch(train) [79][760/940] lr: 1.0000e-03 eta: 3:36:44 time: 0.7010 data_time: 0.0375 memory: 8322 grad_norm: 4.8396 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1329 loss: 1.1329 2022/08/01 07:47:07 - mmengine - INFO - Epoch(train) [79][780/940] lr: 1.0000e-03 eta: 3:36:31 time: 0.5845 data_time: 0.0307 memory: 8322 grad_norm: 4.7669 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9084 loss: 0.9084 2022/08/01 07:47:22 - mmengine - INFO - Epoch(train) [79][800/940] lr: 1.0000e-03 eta: 3:36:18 time: 0.7164 data_time: 0.0483 memory: 8322 grad_norm: 4.7678 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0331 loss: 1.0331 2022/08/01 07:47:34 - mmengine - INFO - Epoch(train) [79][820/940] lr: 1.0000e-03 eta: 3:36:05 time: 0.5963 data_time: 0.0263 memory: 8322 grad_norm: 4.8307 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1362 loss: 1.1362 2022/08/01 07:47:48 - mmengine - INFO - Epoch(train) [79][840/940] lr: 1.0000e-03 eta: 3:35:52 time: 0.7184 data_time: 0.0358 memory: 8322 grad_norm: 4.8740 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1189 loss: 1.1189 2022/08/01 07:48:00 - mmengine - INFO - Epoch(train) [79][860/940] lr: 1.0000e-03 eta: 3:35:39 time: 0.5979 data_time: 0.0282 memory: 8322 grad_norm: 4.9115 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1316 loss: 1.1316 2022/08/01 07:48:13 - mmengine - INFO - Epoch(train) [79][880/940] lr: 1.0000e-03 eta: 3:35:25 time: 0.6480 data_time: 0.0342 memory: 8322 grad_norm: 4.8687 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9845 loss: 0.9845 2022/08/01 07:48:24 - mmengine - INFO - Epoch(train) [79][900/940] lr: 1.0000e-03 eta: 3:35:12 time: 0.5440 data_time: 0.0321 memory: 8322 grad_norm: 4.9093 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0079 loss: 1.0079 2022/08/01 07:48:39 - mmengine - INFO - Epoch(train) [79][920/940] lr: 1.0000e-03 eta: 3:34:59 time: 0.7471 data_time: 0.0363 memory: 8322 grad_norm: 4.8520 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0470 loss: 1.0470 2022/08/01 07:48:49 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:48:49 - mmengine - INFO - Epoch(train) [79][940/940] lr: 1.0000e-03 eta: 3:34:45 time: 0.4841 data_time: 0.0300 memory: 8322 grad_norm: 5.0777 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0100 loss: 1.0100 2022/08/01 07:49:02 - mmengine - INFO - Epoch(val) [79][20/78] eta: 0:00:39 time: 0.6764 data_time: 0.6095 memory: 1463 2022/08/01 07:49:11 - mmengine - INFO - Epoch(val) [79][40/78] eta: 0:00:16 time: 0.4285 data_time: 0.3631 memory: 1463 2022/08/01 07:49:24 - mmengine - INFO - Epoch(val) [79][60/78] eta: 0:00:11 time: 0.6557 data_time: 0.5882 memory: 1463 2022/08/01 07:49:34 - mmengine - INFO - Epoch(val) [79][78/78] acc/top1: 0.6883 acc/top5: 0.8828 acc/mean1: 0.6882 2022/08/01 07:49:51 - mmengine - INFO - Epoch(train) [80][20/940] lr: 1.0000e-03 eta: 3:34:33 time: 0.8245 data_time: 0.6013 memory: 8322 grad_norm: 4.8064 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9525 loss: 0.9525 2022/08/01 07:50:03 - mmengine - INFO - Epoch(train) [80][40/940] lr: 1.0000e-03 eta: 3:34:20 time: 0.6070 data_time: 0.3452 memory: 8322 grad_norm: 4.8482 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.1002 loss: 1.1002 2022/08/01 07:50:19 - mmengine - INFO - Epoch(train) [80][60/940] lr: 1.0000e-03 eta: 3:34:08 time: 0.8196 data_time: 0.2002 memory: 8322 grad_norm: 4.7706 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9613 loss: 0.9613 2022/08/01 07:50:29 - mmengine - INFO - Epoch(train) [80][80/940] lr: 1.0000e-03 eta: 3:33:54 time: 0.5186 data_time: 0.0257 memory: 8322 grad_norm: 4.8113 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0944 loss: 1.0944 2022/08/01 07:50:45 - mmengine - INFO - Epoch(train) [80][100/940] lr: 1.0000e-03 eta: 3:33:42 time: 0.7858 data_time: 0.0339 memory: 8322 grad_norm: 4.7796 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0151 loss: 1.0151 2022/08/01 07:50:57 - mmengine - INFO - Epoch(train) [80][120/940] lr: 1.0000e-03 eta: 3:33:28 time: 0.5854 data_time: 0.0283 memory: 8322 grad_norm: 4.7074 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9963 loss: 0.9963 2022/08/01 07:51:11 - mmengine - INFO - Epoch(train) [80][140/940] lr: 1.0000e-03 eta: 3:33:15 time: 0.6887 data_time: 0.0410 memory: 8322 grad_norm: 4.7287 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0244 loss: 1.0244 2022/08/01 07:51:21 - mmengine - INFO - Epoch(train) [80][160/940] lr: 1.0000e-03 eta: 3:33:01 time: 0.5124 data_time: 0.0351 memory: 8322 grad_norm: 4.7606 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0362 loss: 1.0362 2022/08/01 07:51:35 - mmengine - INFO - Epoch(train) [80][180/940] lr: 1.0000e-03 eta: 3:32:49 time: 0.6986 data_time: 0.0763 memory: 8322 grad_norm: 4.8759 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0295 loss: 1.0295 2022/08/01 07:51:46 - mmengine - INFO - Epoch(train) [80][200/940] lr: 1.0000e-03 eta: 3:32:35 time: 0.5824 data_time: 0.0419 memory: 8322 grad_norm: 4.8845 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2028 loss: 1.2028 2022/08/01 07:52:00 - mmengine - INFO - Epoch(train) [80][220/940] lr: 1.0000e-03 eta: 3:32:22 time: 0.6789 data_time: 0.0538 memory: 8322 grad_norm: 4.8465 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.0485 loss: 1.0485 2022/08/01 07:52:12 - mmengine - INFO - Epoch(train) [80][240/940] lr: 1.0000e-03 eta: 3:32:09 time: 0.6045 data_time: 0.1963 memory: 8322 grad_norm: 4.7424 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0042 loss: 1.0042 2022/08/01 07:52:25 - mmengine - INFO - Epoch(train) [80][260/940] lr: 1.0000e-03 eta: 3:31:56 time: 0.6582 data_time: 0.2346 memory: 8322 grad_norm: 4.7836 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1681 loss: 1.1681 2022/08/01 07:52:38 - mmengine - INFO - Epoch(train) [80][280/940] lr: 1.0000e-03 eta: 3:31:43 time: 0.6418 data_time: 0.3099 memory: 8322 grad_norm: 4.8142 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0081 loss: 1.0081 2022/08/01 07:52:51 - mmengine - INFO - Epoch(train) [80][300/940] lr: 1.0000e-03 eta: 3:31:30 time: 0.6275 data_time: 0.3460 memory: 8322 grad_norm: 4.8870 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1200 loss: 1.1200 2022/08/01 07:53:04 - mmengine - INFO - Epoch(train) [80][320/940] lr: 1.0000e-03 eta: 3:31:17 time: 0.6397 data_time: 0.3540 memory: 8322 grad_norm: 4.7201 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0140 loss: 1.0140 2022/08/01 07:53:17 - mmengine - INFO - Epoch(train) [80][340/940] lr: 1.0000e-03 eta: 3:31:04 time: 0.6725 data_time: 0.1768 memory: 8322 grad_norm: 4.7703 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1151 loss: 1.1151 2022/08/01 07:53:29 - mmengine - INFO - Epoch(train) [80][360/940] lr: 1.0000e-03 eta: 3:30:50 time: 0.6105 data_time: 0.0621 memory: 8322 grad_norm: 4.8090 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0380 loss: 1.0380 2022/08/01 07:53:42 - mmengine - INFO - Epoch(train) [80][380/940] lr: 1.0000e-03 eta: 3:30:37 time: 0.6332 data_time: 0.0550 memory: 8322 grad_norm: 4.8530 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0354 loss: 1.0354 2022/08/01 07:53:55 - mmengine - INFO - Epoch(train) [80][400/940] lr: 1.0000e-03 eta: 3:30:24 time: 0.6708 data_time: 0.1048 memory: 8322 grad_norm: 4.7920 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0163 loss: 1.0163 2022/08/01 07:54:08 - mmengine - INFO - Epoch(train) [80][420/940] lr: 1.0000e-03 eta: 3:30:11 time: 0.6223 data_time: 0.0972 memory: 8322 grad_norm: 4.8918 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/08/01 07:54:20 - mmengine - INFO - Epoch(train) [80][440/940] lr: 1.0000e-03 eta: 3:29:58 time: 0.6283 data_time: 0.0277 memory: 8322 grad_norm: 4.8060 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0464 loss: 1.0464 2022/08/01 07:54:35 - mmengine - INFO - Epoch(train) [80][460/940] lr: 1.0000e-03 eta: 3:29:45 time: 0.7199 data_time: 0.0346 memory: 8322 grad_norm: 4.7557 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0119 loss: 1.0119 2022/08/01 07:54:47 - mmengine - INFO - Epoch(train) [80][480/940] lr: 1.0000e-03 eta: 3:29:32 time: 0.6019 data_time: 0.0321 memory: 8322 grad_norm: 4.8532 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0200 loss: 1.0200 2022/08/01 07:55:00 - mmengine - INFO - Epoch(train) [80][500/940] lr: 1.0000e-03 eta: 3:29:19 time: 0.6712 data_time: 0.0415 memory: 8322 grad_norm: 4.7933 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0709 loss: 1.0709 2022/08/01 07:55:13 - mmengine - INFO - Epoch(train) [80][520/940] lr: 1.0000e-03 eta: 3:29:06 time: 0.6248 data_time: 0.0310 memory: 8322 grad_norm: 4.8731 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.0801 loss: 1.0801 2022/08/01 07:55:25 - mmengine - INFO - Epoch(train) [80][540/940] lr: 1.0000e-03 eta: 3:28:52 time: 0.6178 data_time: 0.0362 memory: 8322 grad_norm: 4.8863 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0478 loss: 1.0478 2022/08/01 07:55:37 - mmengine - INFO - Epoch(train) [80][560/940] lr: 1.0000e-03 eta: 3:28:39 time: 0.6115 data_time: 0.1089 memory: 8322 grad_norm: 4.8128 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1378 loss: 1.1378 2022/08/01 07:55:52 - mmengine - INFO - Epoch(train) [80][580/940] lr: 1.0000e-03 eta: 3:28:26 time: 0.7197 data_time: 0.2129 memory: 8322 grad_norm: 4.7625 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0029 loss: 1.0029 2022/08/01 07:56:02 - mmengine - INFO - Epoch(train) [80][600/940] lr: 1.0000e-03 eta: 3:28:13 time: 0.5271 data_time: 0.1637 memory: 8322 grad_norm: 4.7837 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9822 loss: 0.9822 2022/08/01 07:56:17 - mmengine - INFO - Epoch(train) [80][620/940] lr: 1.0000e-03 eta: 3:28:00 time: 0.7384 data_time: 0.2452 memory: 8322 grad_norm: 4.8833 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0117 loss: 1.0117 2022/08/01 07:56:29 - mmengine - INFO - Epoch(train) [80][640/940] lr: 1.0000e-03 eta: 3:27:47 time: 0.6187 data_time: 0.1537 memory: 8322 grad_norm: 4.9568 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0805 loss: 1.0805 2022/08/01 07:56:42 - mmengine - INFO - Epoch(train) [80][660/940] lr: 1.0000e-03 eta: 3:27:34 time: 0.6372 data_time: 0.2059 memory: 8322 grad_norm: 4.9223 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0355 loss: 1.0355 2022/08/01 07:56:54 - mmengine - INFO - Epoch(train) [80][680/940] lr: 1.0000e-03 eta: 3:27:20 time: 0.5674 data_time: 0.2573 memory: 8322 grad_norm: 4.8933 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9692 loss: 0.9692 2022/08/01 07:57:09 - mmengine - INFO - Epoch(train) [80][700/940] lr: 1.0000e-03 eta: 3:27:08 time: 0.7684 data_time: 0.2983 memory: 8322 grad_norm: 5.0108 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2282 loss: 1.2282 2022/08/01 07:57:20 - mmengine - INFO - Epoch(train) [80][720/940] lr: 1.0000e-03 eta: 3:26:54 time: 0.5492 data_time: 0.1337 memory: 8322 grad_norm: 4.8011 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1126 loss: 1.1126 2022/08/01 07:57:34 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:57:34 - mmengine - INFO - Epoch(train) [80][740/940] lr: 1.0000e-03 eta: 3:26:42 time: 0.7281 data_time: 0.2512 memory: 8322 grad_norm: 4.9155 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1083 loss: 1.1083 2022/08/01 07:57:45 - mmengine - INFO - Epoch(train) [80][760/940] lr: 1.0000e-03 eta: 3:26:28 time: 0.5140 data_time: 0.1017 memory: 8322 grad_norm: 4.9955 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0568 loss: 1.0568 2022/08/01 07:57:59 - mmengine - INFO - Epoch(train) [80][780/940] lr: 1.0000e-03 eta: 3:26:15 time: 0.7127 data_time: 0.1935 memory: 8322 grad_norm: 4.8111 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1416 loss: 1.1416 2022/08/01 07:58:11 - mmengine - INFO - Epoch(train) [80][800/940] lr: 1.0000e-03 eta: 3:26:02 time: 0.5850 data_time: 0.1720 memory: 8322 grad_norm: 4.8680 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1013 loss: 1.1013 2022/08/01 07:58:25 - mmengine - INFO - Epoch(train) [80][820/940] lr: 1.0000e-03 eta: 3:25:49 time: 0.7157 data_time: 0.2058 memory: 8322 grad_norm: 4.8945 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1501 loss: 1.1501 2022/08/01 07:58:37 - mmengine - INFO - Epoch(train) [80][840/940] lr: 1.0000e-03 eta: 3:25:36 time: 0.5983 data_time: 0.1343 memory: 8322 grad_norm: 4.8241 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0583 loss: 1.0583 2022/08/01 07:58:50 - mmengine - INFO - Epoch(train) [80][860/940] lr: 1.0000e-03 eta: 3:25:23 time: 0.6709 data_time: 0.2493 memory: 8322 grad_norm: 4.8926 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0180 loss: 1.0180 2022/08/01 07:59:02 - mmengine - INFO - Epoch(train) [80][880/940] lr: 1.0000e-03 eta: 3:25:09 time: 0.5557 data_time: 0.2228 memory: 8322 grad_norm: 4.7864 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1148 loss: 1.1148 2022/08/01 07:59:16 - mmengine - INFO - Epoch(train) [80][900/940] lr: 1.0000e-03 eta: 3:24:56 time: 0.6994 data_time: 0.3172 memory: 8322 grad_norm: 4.8429 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1325 loss: 1.1325 2022/08/01 07:59:27 - mmengine - INFO - Epoch(train) [80][920/940] lr: 1.0000e-03 eta: 3:24:43 time: 0.5644 data_time: 0.1977 memory: 8322 grad_norm: 4.7652 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0641 loss: 1.0641 2022/08/01 07:59:40 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 07:59:40 - mmengine - INFO - Epoch(train) [80][940/940] lr: 1.0000e-03 eta: 3:24:30 time: 0.6762 data_time: 0.3971 memory: 8322 grad_norm: 5.0428 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9694 loss: 0.9694 2022/08/01 07:59:54 - mmengine - INFO - Epoch(val) [80][20/78] eta: 0:00:39 time: 0.6766 data_time: 0.6110 memory: 1463 2022/08/01 08:00:03 - mmengine - INFO - Epoch(val) [80][40/78] eta: 0:00:16 time: 0.4426 data_time: 0.3774 memory: 1463 2022/08/01 08:00:16 - mmengine - INFO - Epoch(val) [80][60/78] eta: 0:00:11 time: 0.6538 data_time: 0.5913 memory: 1463 2022/08/01 08:00:26 - mmengine - INFO - Epoch(val) [80][78/78] acc/top1: 0.6904 acc/top5: 0.8824 acc/mean1: 0.6904 2022/08/01 08:00:42 - mmengine - INFO - Epoch(train) [81][20/940] lr: 1.0000e-04 eta: 3:24:17 time: 0.7978 data_time: 0.5437 memory: 8322 grad_norm: 4.7851 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9578 loss: 0.9578 2022/08/01 08:00:54 - mmengine - INFO - Epoch(train) [81][40/940] lr: 1.0000e-04 eta: 3:24:04 time: 0.6048 data_time: 0.1767 memory: 8322 grad_norm: 4.8267 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9718 loss: 0.9718 2022/08/01 08:01:09 - mmengine - INFO - Epoch(train) [81][60/940] lr: 1.0000e-04 eta: 3:23:52 time: 0.7413 data_time: 0.0670 memory: 8322 grad_norm: 4.8205 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0622 loss: 1.0622 2022/08/01 08:01:20 - mmengine - INFO - Epoch(train) [81][80/940] lr: 1.0000e-04 eta: 3:23:38 time: 0.5597 data_time: 0.0378 memory: 8322 grad_norm: 4.8006 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0467 loss: 1.0467 2022/08/01 08:01:34 - mmengine - INFO - Epoch(train) [81][100/940] lr: 1.0000e-04 eta: 3:23:25 time: 0.6932 data_time: 0.1004 memory: 8322 grad_norm: 4.8004 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 0.9783 loss: 0.9783 2022/08/01 08:01:46 - mmengine - INFO - Epoch(train) [81][120/940] lr: 1.0000e-04 eta: 3:23:12 time: 0.5783 data_time: 0.0859 memory: 8322 grad_norm: 4.8225 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.0177 loss: 1.0177 2022/08/01 08:02:01 - mmengine - INFO - Epoch(train) [81][140/940] lr: 1.0000e-04 eta: 3:22:59 time: 0.7595 data_time: 0.0647 memory: 8322 grad_norm: 4.8153 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0130 loss: 1.0130 2022/08/01 08:02:12 - mmengine - INFO - Epoch(train) [81][160/940] lr: 1.0000e-04 eta: 3:22:46 time: 0.5498 data_time: 0.0389 memory: 8322 grad_norm: 4.8442 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0207 loss: 1.0207 2022/08/01 08:02:26 - mmengine - INFO - Epoch(train) [81][180/940] lr: 1.0000e-04 eta: 3:22:33 time: 0.7234 data_time: 0.0773 memory: 8322 grad_norm: 4.7769 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0061 loss: 1.0061 2022/08/01 08:02:38 - mmengine - INFO - Epoch(train) [81][200/940] lr: 1.0000e-04 eta: 3:22:20 time: 0.5680 data_time: 0.0927 memory: 8322 grad_norm: 4.7768 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0931 loss: 1.0931 2022/08/01 08:02:53 - mmengine - INFO - Epoch(train) [81][220/940] lr: 1.0000e-04 eta: 3:22:07 time: 0.7546 data_time: 0.0514 memory: 8322 grad_norm: 4.7551 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9826 loss: 0.9826 2022/08/01 08:03:04 - mmengine - INFO - Epoch(train) [81][240/940] lr: 1.0000e-04 eta: 3:21:54 time: 0.5767 data_time: 0.0308 memory: 8322 grad_norm: 4.9297 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0906 loss: 1.0906 2022/08/01 08:03:19 - mmengine - INFO - Epoch(train) [81][260/940] lr: 1.0000e-04 eta: 3:21:41 time: 0.7271 data_time: 0.0394 memory: 8322 grad_norm: 4.8767 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1331 loss: 1.1331 2022/08/01 08:03:30 - mmengine - INFO - Epoch(train) [81][280/940] lr: 1.0000e-04 eta: 3:21:27 time: 0.5393 data_time: 0.0357 memory: 8322 grad_norm: 4.7898 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1141 loss: 1.1141 2022/08/01 08:03:44 - mmengine - INFO - Epoch(train) [81][300/940] lr: 1.0000e-04 eta: 3:21:14 time: 0.6876 data_time: 0.0344 memory: 8322 grad_norm: 4.8183 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0324 loss: 1.0324 2022/08/01 08:03:55 - mmengine - INFO - Epoch(train) [81][320/940] lr: 1.0000e-04 eta: 3:21:01 time: 0.5578 data_time: 0.0382 memory: 8322 grad_norm: 4.7452 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2347 loss: 1.2347 2022/08/01 08:04:09 - mmengine - INFO - Epoch(train) [81][340/940] lr: 1.0000e-04 eta: 3:20:48 time: 0.7337 data_time: 0.0409 memory: 8322 grad_norm: 4.9420 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1977 loss: 1.1977 2022/08/01 08:04:20 - mmengine - INFO - Epoch(train) [81][360/940] lr: 1.0000e-04 eta: 3:20:35 time: 0.5541 data_time: 0.0331 memory: 8322 grad_norm: 4.7355 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.0872 loss: 1.0872 2022/08/01 08:04:35 - mmengine - INFO - Epoch(train) [81][380/940] lr: 1.0000e-04 eta: 3:20:22 time: 0.7307 data_time: 0.0354 memory: 8322 grad_norm: 4.8471 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1089 loss: 1.1089 2022/08/01 08:04:46 - mmengine - INFO - Epoch(train) [81][400/940] lr: 1.0000e-04 eta: 3:20:08 time: 0.5526 data_time: 0.0375 memory: 8322 grad_norm: 4.7306 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1098 loss: 1.1098 2022/08/01 08:05:01 - mmengine - INFO - Epoch(train) [81][420/940] lr: 1.0000e-04 eta: 3:19:56 time: 0.7210 data_time: 0.0377 memory: 8322 grad_norm: 4.8903 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9708 loss: 0.9708 2022/08/01 08:05:11 - mmengine - INFO - Epoch(train) [81][440/940] lr: 1.0000e-04 eta: 3:19:42 time: 0.5398 data_time: 0.0350 memory: 8322 grad_norm: 4.8909 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9653 loss: 0.9653 2022/08/01 08:05:26 - mmengine - INFO - Epoch(train) [81][460/940] lr: 1.0000e-04 eta: 3:19:29 time: 0.7184 data_time: 0.0365 memory: 8322 grad_norm: 4.8865 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0057 loss: 1.0057 2022/08/01 08:05:37 - mmengine - INFO - Epoch(train) [81][480/940] lr: 1.0000e-04 eta: 3:19:16 time: 0.5691 data_time: 0.0349 memory: 8322 grad_norm: 4.8345 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0727 loss: 1.0727 2022/08/01 08:05:52 - mmengine - INFO - Epoch(train) [81][500/940] lr: 1.0000e-04 eta: 3:19:03 time: 0.7208 data_time: 0.0362 memory: 8322 grad_norm: 4.7838 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1127 loss: 1.1127 2022/08/01 08:06:03 - mmengine - INFO - Epoch(train) [81][520/940] lr: 1.0000e-04 eta: 3:18:50 time: 0.5798 data_time: 0.0404 memory: 8322 grad_norm: 4.8608 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 0.8919 loss: 0.8919 2022/08/01 08:06:17 - mmengine - INFO - Epoch(train) [81][540/940] lr: 1.0000e-04 eta: 3:18:37 time: 0.6870 data_time: 0.0379 memory: 8322 grad_norm: 4.8184 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1387 loss: 1.1387 2022/08/01 08:06:28 - mmengine - INFO - Epoch(train) [81][560/940] lr: 1.0000e-04 eta: 3:18:23 time: 0.5722 data_time: 0.0436 memory: 8322 grad_norm: 4.7947 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0388 loss: 1.0388 2022/08/01 08:06:42 - mmengine - INFO - Epoch(train) [81][580/940] lr: 1.0000e-04 eta: 3:18:11 time: 0.6694 data_time: 0.0336 memory: 8322 grad_norm: 4.9075 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1976 loss: 1.1976 2022/08/01 08:06:55 - mmengine - INFO - Epoch(train) [81][600/940] lr: 1.0000e-04 eta: 3:17:57 time: 0.6488 data_time: 0.0360 memory: 8322 grad_norm: 4.8385 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0219 loss: 1.0219 2022/08/01 08:07:09 - mmengine - INFO - Epoch(train) [81][620/940] lr: 1.0000e-04 eta: 3:17:45 time: 0.6904 data_time: 0.0516 memory: 8322 grad_norm: 4.9179 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1403 loss: 1.1403 2022/08/01 08:07:21 - mmengine - INFO - Epoch(train) [81][640/940] lr: 1.0000e-04 eta: 3:17:31 time: 0.5985 data_time: 0.0375 memory: 8322 grad_norm: 4.8067 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0829 loss: 1.0829 2022/08/01 08:07:34 - mmengine - INFO - Epoch(train) [81][660/940] lr: 1.0000e-04 eta: 3:17:18 time: 0.6606 data_time: 0.0386 memory: 8322 grad_norm: 4.8547 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9776 loss: 0.9776 2022/08/01 08:07:46 - mmengine - INFO - Epoch(train) [81][680/940] lr: 1.0000e-04 eta: 3:17:05 time: 0.6205 data_time: 0.0376 memory: 8322 grad_norm: 4.6873 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9927 loss: 0.9927 2022/08/01 08:07:59 - mmengine - INFO - Epoch(train) [81][700/940] lr: 1.0000e-04 eta: 3:16:52 time: 0.6421 data_time: 0.0347 memory: 8322 grad_norm: 4.8201 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1001 loss: 1.1001 2022/08/01 08:08:12 - mmengine - INFO - Epoch(train) [81][720/940] lr: 1.0000e-04 eta: 3:16:39 time: 0.6436 data_time: 0.0354 memory: 8322 grad_norm: 4.7264 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9996 loss: 0.9996 2022/08/01 08:08:25 - mmengine - INFO - Epoch(train) [81][740/940] lr: 1.0000e-04 eta: 3:16:26 time: 0.6364 data_time: 0.0318 memory: 8322 grad_norm: 4.7797 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0085 loss: 1.0085 2022/08/01 08:08:39 - mmengine - INFO - Epoch(train) [81][760/940] lr: 1.0000e-04 eta: 3:16:13 time: 0.7086 data_time: 0.0565 memory: 8322 grad_norm: 4.7376 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0886 loss: 1.0886 2022/08/01 08:08:50 - mmengine - INFO - Epoch(train) [81][780/940] lr: 1.0000e-04 eta: 3:16:00 time: 0.5772 data_time: 0.0281 memory: 8322 grad_norm: 4.7916 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0005 loss: 1.0005 2022/08/01 08:09:04 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:09:04 - mmengine - INFO - Epoch(train) [81][800/940] lr: 1.0000e-04 eta: 3:15:47 time: 0.6836 data_time: 0.0345 memory: 8322 grad_norm: 4.8786 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1495 loss: 1.1495 2022/08/01 08:09:16 - mmengine - INFO - Epoch(train) [81][820/940] lr: 1.0000e-04 eta: 3:15:33 time: 0.5949 data_time: 0.0301 memory: 8322 grad_norm: 4.7641 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1299 loss: 1.1299 2022/08/01 08:09:30 - mmengine - INFO - Epoch(train) [81][840/940] lr: 1.0000e-04 eta: 3:15:21 time: 0.7206 data_time: 0.0350 memory: 8322 grad_norm: 4.8533 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.1868 loss: 1.1868 2022/08/01 08:09:42 - mmengine - INFO - Epoch(train) [81][860/940] lr: 1.0000e-04 eta: 3:15:07 time: 0.5790 data_time: 0.0281 memory: 8322 grad_norm: 4.7643 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0387 loss: 1.0387 2022/08/01 08:09:55 - mmengine - INFO - Epoch(train) [81][880/940] lr: 1.0000e-04 eta: 3:14:54 time: 0.6709 data_time: 0.0348 memory: 8322 grad_norm: 4.7127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9615 loss: 0.9615 2022/08/01 08:10:07 - mmengine - INFO - Epoch(train) [81][900/940] lr: 1.0000e-04 eta: 3:14:41 time: 0.5862 data_time: 0.0460 memory: 8322 grad_norm: 4.7504 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0249 loss: 1.0249 2022/08/01 08:10:21 - mmengine - INFO - Epoch(train) [81][920/940] lr: 1.0000e-04 eta: 3:14:28 time: 0.7152 data_time: 0.0340 memory: 8322 grad_norm: 4.7904 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0461 loss: 1.0461 2022/08/01 08:10:31 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:10:31 - mmengine - INFO - Epoch(train) [81][940/940] lr: 1.0000e-04 eta: 3:14:14 time: 0.4859 data_time: 0.0188 memory: 8322 grad_norm: 5.2590 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1020 loss: 1.1020 2022/08/01 08:10:31 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/08/01 08:10:48 - mmengine - INFO - Epoch(val) [81][20/78] eta: 0:00:41 time: 0.7128 data_time: 0.6499 memory: 1463 2022/08/01 08:10:57 - mmengine - INFO - Epoch(val) [81][40/78] eta: 0:00:17 time: 0.4614 data_time: 0.3959 memory: 1463 2022/08/01 08:11:10 - mmengine - INFO - Epoch(val) [81][60/78] eta: 0:00:11 time: 0.6495 data_time: 0.5744 memory: 1463 2022/08/01 08:11:18 - mmengine - INFO - Epoch(val) [81][78/78] acc/top1: 0.6914 acc/top5: 0.8839 acc/mean1: 0.6913 2022/08/01 08:11:36 - mmengine - INFO - Epoch(train) [82][20/940] lr: 1.0000e-04 eta: 3:14:02 time: 0.8688 data_time: 0.3951 memory: 8322 grad_norm: 4.7876 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1358 loss: 1.1358 2022/08/01 08:11:47 - mmengine - INFO - Epoch(train) [82][40/940] lr: 1.0000e-04 eta: 3:13:49 time: 0.5644 data_time: 0.1438 memory: 8322 grad_norm: 4.7953 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1019 loss: 1.1019 2022/08/01 08:12:01 - mmengine - INFO - Epoch(train) [82][60/940] lr: 1.0000e-04 eta: 3:13:36 time: 0.7159 data_time: 0.1749 memory: 8322 grad_norm: 4.7212 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9691 loss: 0.9691 2022/08/01 08:12:12 - mmengine - INFO - Epoch(train) [82][80/940] lr: 1.0000e-04 eta: 3:13:22 time: 0.5295 data_time: 0.1451 memory: 8322 grad_norm: 4.7603 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0284 loss: 1.0284 2022/08/01 08:12:26 - mmengine - INFO - Epoch(train) [82][100/940] lr: 1.0000e-04 eta: 3:13:10 time: 0.7218 data_time: 0.3647 memory: 8322 grad_norm: 4.6709 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9688 loss: 0.9688 2022/08/01 08:12:38 - mmengine - INFO - Epoch(train) [82][120/940] lr: 1.0000e-04 eta: 3:12:56 time: 0.5599 data_time: 0.1487 memory: 8322 grad_norm: 4.8597 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9613 loss: 0.9613 2022/08/01 08:12:51 - mmengine - INFO - Epoch(train) [82][140/940] lr: 1.0000e-04 eta: 3:12:43 time: 0.6866 data_time: 0.1531 memory: 8322 grad_norm: 4.7720 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/08/01 08:13:04 - mmengine - INFO - Epoch(train) [82][160/940] lr: 1.0000e-04 eta: 3:12:30 time: 0.6421 data_time: 0.1256 memory: 8322 grad_norm: 4.7671 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 1.0566 loss: 1.0566 2022/08/01 08:13:18 - mmengine - INFO - Epoch(train) [82][180/940] lr: 1.0000e-04 eta: 3:12:17 time: 0.6684 data_time: 0.0371 memory: 8322 grad_norm: 4.7267 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0597 loss: 1.0597 2022/08/01 08:13:30 - mmengine - INFO - Epoch(train) [82][200/940] lr: 1.0000e-04 eta: 3:12:04 time: 0.6202 data_time: 0.0556 memory: 8322 grad_norm: 4.8570 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9991 loss: 0.9991 2022/08/01 08:13:44 - mmengine - INFO - Epoch(train) [82][220/940] lr: 1.0000e-04 eta: 3:11:51 time: 0.6946 data_time: 0.1826 memory: 8322 grad_norm: 4.7812 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0160 loss: 1.0160 2022/08/01 08:13:55 - mmengine - INFO - Epoch(train) [82][240/940] lr: 1.0000e-04 eta: 3:11:38 time: 0.5483 data_time: 0.1163 memory: 8322 grad_norm: 4.7976 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0836 loss: 1.0836 2022/08/01 08:14:09 - mmengine - INFO - Epoch(train) [82][260/940] lr: 1.0000e-04 eta: 3:11:25 time: 0.7287 data_time: 0.2034 memory: 8322 grad_norm: 4.7237 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0205 loss: 1.0205 2022/08/01 08:14:21 - mmengine - INFO - Epoch(train) [82][280/940] lr: 1.0000e-04 eta: 3:11:11 time: 0.5588 data_time: 0.1504 memory: 8322 grad_norm: 4.6700 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0393 loss: 1.0393 2022/08/01 08:14:35 - mmengine - INFO - Epoch(train) [82][300/940] lr: 1.0000e-04 eta: 3:10:59 time: 0.7249 data_time: 0.1491 memory: 8322 grad_norm: 4.7449 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9486 loss: 0.9486 2022/08/01 08:14:46 - mmengine - INFO - Epoch(train) [82][320/940] lr: 1.0000e-04 eta: 3:10:45 time: 0.5444 data_time: 0.0625 memory: 8322 grad_norm: 4.7996 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1003 loss: 1.1003 2022/08/01 08:15:01 - mmengine - INFO - Epoch(train) [82][340/940] lr: 1.0000e-04 eta: 3:10:33 time: 0.7651 data_time: 0.0561 memory: 8322 grad_norm: 4.8107 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9835 loss: 0.9835 2022/08/01 08:15:12 - mmengine - INFO - Epoch(train) [82][360/940] lr: 1.0000e-04 eta: 3:10:19 time: 0.5490 data_time: 0.0416 memory: 8322 grad_norm: 4.7497 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0261 loss: 1.0261 2022/08/01 08:15:28 - mmengine - INFO - Epoch(train) [82][380/940] lr: 1.0000e-04 eta: 3:10:07 time: 0.7827 data_time: 0.0712 memory: 8322 grad_norm: 4.7328 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9864 loss: 0.9864 2022/08/01 08:15:40 - mmengine - INFO - Epoch(train) [82][400/940] lr: 1.0000e-04 eta: 3:09:53 time: 0.6190 data_time: 0.0554 memory: 8322 grad_norm: 4.7419 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0615 loss: 1.0615 2022/08/01 08:15:55 - mmengine - INFO - Epoch(train) [82][420/940] lr: 1.0000e-04 eta: 3:09:41 time: 0.7326 data_time: 0.0394 memory: 8322 grad_norm: 4.8267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1019 loss: 1.1019 2022/08/01 08:16:07 - mmengine - INFO - Epoch(train) [82][440/940] lr: 1.0000e-04 eta: 3:09:27 time: 0.5841 data_time: 0.0291 memory: 8322 grad_norm: 4.7591 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0385 loss: 1.0385 2022/08/01 08:16:22 - mmengine - INFO - Epoch(train) [82][460/940] lr: 1.0000e-04 eta: 3:09:15 time: 0.7517 data_time: 0.0366 memory: 8322 grad_norm: 4.7768 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0917 loss: 1.0917 2022/08/01 08:16:32 - mmengine - INFO - Epoch(train) [82][480/940] lr: 1.0000e-04 eta: 3:09:01 time: 0.5154 data_time: 0.0305 memory: 8322 grad_norm: 4.7033 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0765 loss: 1.0765 2022/08/01 08:16:46 - mmengine - INFO - Epoch(train) [82][500/940] lr: 1.0000e-04 eta: 3:08:48 time: 0.6970 data_time: 0.0402 memory: 8322 grad_norm: 4.8628 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0949 loss: 1.0949 2022/08/01 08:16:58 - mmengine - INFO - Epoch(train) [82][520/940] lr: 1.0000e-04 eta: 3:08:35 time: 0.5750 data_time: 0.0359 memory: 8322 grad_norm: 4.9637 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0352 loss: 1.0352 2022/08/01 08:17:12 - mmengine - INFO - Epoch(train) [82][540/940] lr: 1.0000e-04 eta: 3:08:22 time: 0.7277 data_time: 0.0377 memory: 8322 grad_norm: 4.8449 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/08/01 08:17:23 - mmengine - INFO - Epoch(train) [82][560/940] lr: 1.0000e-04 eta: 3:08:09 time: 0.5584 data_time: 0.0364 memory: 8322 grad_norm: 4.7780 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1207 loss: 1.1207 2022/08/01 08:17:37 - mmengine - INFO - Epoch(train) [82][580/940] lr: 1.0000e-04 eta: 3:07:56 time: 0.7048 data_time: 0.0344 memory: 8322 grad_norm: 4.6946 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9610 loss: 0.9610 2022/08/01 08:17:48 - mmengine - INFO - Epoch(train) [82][600/940] lr: 1.0000e-04 eta: 3:07:42 time: 0.5517 data_time: 0.0362 memory: 8322 grad_norm: 4.7669 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0111 loss: 1.0111 2022/08/01 08:18:02 - mmengine - INFO - Epoch(train) [82][620/940] lr: 1.0000e-04 eta: 3:07:29 time: 0.6995 data_time: 0.0344 memory: 8322 grad_norm: 4.8104 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0643 loss: 1.0643 2022/08/01 08:18:14 - mmengine - INFO - Epoch(train) [82][640/940] lr: 1.0000e-04 eta: 3:07:16 time: 0.5597 data_time: 0.0255 memory: 8322 grad_norm: 4.6913 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0070 loss: 1.0070 2022/08/01 08:18:28 - mmengine - INFO - Epoch(train) [82][660/940] lr: 1.0000e-04 eta: 3:07:03 time: 0.7268 data_time: 0.0801 memory: 8322 grad_norm: 4.8805 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9629 loss: 0.9629 2022/08/01 08:18:40 - mmengine - INFO - Epoch(train) [82][680/940] lr: 1.0000e-04 eta: 3:06:50 time: 0.5736 data_time: 0.1161 memory: 8322 grad_norm: 4.8935 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0400 loss: 1.0400 2022/08/01 08:18:54 - mmengine - INFO - Epoch(train) [82][700/940] lr: 1.0000e-04 eta: 3:06:37 time: 0.7080 data_time: 0.2288 memory: 8322 grad_norm: 4.8535 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0247 loss: 1.0247 2022/08/01 08:19:06 - mmengine - INFO - Epoch(train) [82][720/940] lr: 1.0000e-04 eta: 3:06:24 time: 0.5856 data_time: 0.1908 memory: 8322 grad_norm: 4.7406 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0016 loss: 1.0016 2022/08/01 08:19:19 - mmengine - INFO - Epoch(train) [82][740/940] lr: 1.0000e-04 eta: 3:06:11 time: 0.6812 data_time: 0.1906 memory: 8322 grad_norm: 4.7590 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1039 loss: 1.1039 2022/08/01 08:19:32 - mmengine - INFO - Epoch(train) [82][760/940] lr: 1.0000e-04 eta: 3:05:58 time: 0.6575 data_time: 0.1384 memory: 8322 grad_norm: 4.7207 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1886 loss: 1.1886 2022/08/01 08:19:45 - mmengine - INFO - Epoch(train) [82][780/940] lr: 1.0000e-04 eta: 3:05:45 time: 0.6287 data_time: 0.0468 memory: 8322 grad_norm: 4.7866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0955 loss: 1.0955 2022/08/01 08:19:58 - mmengine - INFO - Epoch(train) [82][800/940] lr: 1.0000e-04 eta: 3:05:32 time: 0.6535 data_time: 0.0315 memory: 8322 grad_norm: 4.8403 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9428 loss: 0.9428 2022/08/01 08:20:09 - mmengine - INFO - Epoch(train) [82][820/940] lr: 1.0000e-04 eta: 3:05:18 time: 0.5702 data_time: 0.0582 memory: 8322 grad_norm: 4.6852 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0098 loss: 1.0098 2022/08/01 08:20:23 - mmengine - INFO - Epoch(train) [82][840/940] lr: 1.0000e-04 eta: 3:05:05 time: 0.6601 data_time: 0.0858 memory: 8322 grad_norm: 4.7485 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0267 loss: 1.0267 2022/08/01 08:20:37 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:20:37 - mmengine - INFO - Epoch(train) [82][860/940] lr: 1.0000e-04 eta: 3:04:52 time: 0.7261 data_time: 0.1269 memory: 8322 grad_norm: 4.7169 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0204 loss: 1.0204 2022/08/01 08:20:49 - mmengine - INFO - Epoch(train) [82][880/940] lr: 1.0000e-04 eta: 3:04:39 time: 0.5765 data_time: 0.0418 memory: 8322 grad_norm: 4.6617 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0881 loss: 1.0881 2022/08/01 08:21:02 - mmengine - INFO - Epoch(train) [82][900/940] lr: 1.0000e-04 eta: 3:04:26 time: 0.6796 data_time: 0.0343 memory: 8322 grad_norm: 4.8004 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9509 loss: 0.9509 2022/08/01 08:21:15 - mmengine - INFO - Epoch(train) [82][920/940] lr: 1.0000e-04 eta: 3:04:13 time: 0.6146 data_time: 0.0356 memory: 8322 grad_norm: 4.7952 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1062 loss: 1.1062 2022/08/01 08:21:26 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:21:26 - mmengine - INFO - Epoch(train) [82][940/940] lr: 1.0000e-04 eta: 3:03:59 time: 0.5777 data_time: 0.0295 memory: 8322 grad_norm: 5.1462 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1097 loss: 1.1097 2022/08/01 08:21:41 - mmengine - INFO - Epoch(val) [82][20/78] eta: 0:00:42 time: 0.7334 data_time: 0.6695 memory: 1463 2022/08/01 08:21:49 - mmengine - INFO - Epoch(val) [82][40/78] eta: 0:00:16 time: 0.4230 data_time: 0.3623 memory: 1463 2022/08/01 08:22:03 - mmengine - INFO - Epoch(val) [82][60/78] eta: 0:00:11 time: 0.6599 data_time: 0.5983 memory: 1463 2022/08/01 08:22:12 - mmengine - INFO - Epoch(val) [82][78/78] acc/top1: 0.6921 acc/top5: 0.8839 acc/mean1: 0.6920 2022/08/01 08:22:12 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_76.pth is removed 2022/08/01 08:22:14 - mmengine - INFO - The best checkpoint with 0.6921 acc/top1 at 83 epoch is saved to best_acc/top1_epoch_83.pth. 2022/08/01 08:22:30 - mmengine - INFO - Epoch(train) [83][20/940] lr: 1.0000e-04 eta: 3:03:47 time: 0.8122 data_time: 0.5948 memory: 8322 grad_norm: 4.6862 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/08/01 08:22:41 - mmengine - INFO - Epoch(train) [83][40/940] lr: 1.0000e-04 eta: 3:03:34 time: 0.5604 data_time: 0.3569 memory: 8322 grad_norm: 4.8119 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0662 loss: 1.0662 2022/08/01 08:22:56 - mmengine - INFO - Epoch(train) [83][60/940] lr: 1.0000e-04 eta: 3:03:21 time: 0.7462 data_time: 0.4958 memory: 8322 grad_norm: 4.8598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1037 loss: 1.1037 2022/08/01 08:23:07 - mmengine - INFO - Epoch(train) [83][80/940] lr: 1.0000e-04 eta: 3:03:08 time: 0.5679 data_time: 0.3531 memory: 8322 grad_norm: 4.7713 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0613 loss: 1.0613 2022/08/01 08:23:21 - mmengine - INFO - Epoch(train) [83][100/940] lr: 1.0000e-04 eta: 3:02:55 time: 0.7074 data_time: 0.5029 memory: 8322 grad_norm: 4.7741 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1620 loss: 1.1620 2022/08/01 08:23:33 - mmengine - INFO - Epoch(train) [83][120/940] lr: 1.0000e-04 eta: 3:02:41 time: 0.5805 data_time: 0.3301 memory: 8322 grad_norm: 4.8265 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0758 loss: 1.0758 2022/08/01 08:23:48 - mmengine - INFO - Epoch(train) [83][140/940] lr: 1.0000e-04 eta: 3:02:29 time: 0.7463 data_time: 0.5221 memory: 8322 grad_norm: 4.8124 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0092 loss: 1.0092 2022/08/01 08:23:59 - mmengine - INFO - Epoch(train) [83][160/940] lr: 1.0000e-04 eta: 3:02:15 time: 0.5414 data_time: 0.3212 memory: 8322 grad_norm: 4.7793 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0604 loss: 1.0604 2022/08/01 08:24:13 - mmengine - INFO - Epoch(train) [83][180/940] lr: 1.0000e-04 eta: 3:02:02 time: 0.7029 data_time: 0.4770 memory: 8322 grad_norm: 4.8874 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1484 loss: 1.1484 2022/08/01 08:24:25 - mmengine - INFO - Epoch(train) [83][200/940] lr: 1.0000e-04 eta: 3:01:49 time: 0.5957 data_time: 0.3776 memory: 8322 grad_norm: 4.8345 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0498 loss: 1.0498 2022/08/01 08:24:39 - mmengine - INFO - Epoch(train) [83][220/940] lr: 1.0000e-04 eta: 3:01:36 time: 0.7250 data_time: 0.4864 memory: 8322 grad_norm: 4.8811 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0269 loss: 1.0269 2022/08/01 08:24:51 - mmengine - INFO - Epoch(train) [83][240/940] lr: 1.0000e-04 eta: 3:01:23 time: 0.5567 data_time: 0.3257 memory: 8322 grad_norm: 4.6768 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9998 loss: 0.9998 2022/08/01 08:25:05 - mmengine - INFO - Epoch(train) [83][260/940] lr: 1.0000e-04 eta: 3:01:10 time: 0.7330 data_time: 0.4440 memory: 8322 grad_norm: 4.7221 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/08/01 08:25:16 - mmengine - INFO - Epoch(train) [83][280/940] lr: 1.0000e-04 eta: 3:00:57 time: 0.5231 data_time: 0.1993 memory: 8322 grad_norm: 4.7691 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0910 loss: 1.0910 2022/08/01 08:25:31 - mmengine - INFO - Epoch(train) [83][300/940] lr: 1.0000e-04 eta: 3:00:44 time: 0.7422 data_time: 0.3572 memory: 8322 grad_norm: 4.7966 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9722 loss: 0.9722 2022/08/01 08:25:42 - mmengine - INFO - Epoch(train) [83][320/940] lr: 1.0000e-04 eta: 3:00:31 time: 0.5865 data_time: 0.2429 memory: 8322 grad_norm: 4.7557 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0790 loss: 1.0790 2022/08/01 08:25:56 - mmengine - INFO - Epoch(train) [83][340/940] lr: 1.0000e-04 eta: 3:00:18 time: 0.7071 data_time: 0.4527 memory: 8322 grad_norm: 4.7532 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0087 loss: 1.0087 2022/08/01 08:26:07 - mmengine - INFO - Epoch(train) [83][360/940] lr: 1.0000e-04 eta: 3:00:04 time: 0.5464 data_time: 0.2798 memory: 8322 grad_norm: 4.8449 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 0.9940 loss: 0.9940 2022/08/01 08:26:22 - mmengine - INFO - Epoch(train) [83][380/940] lr: 1.0000e-04 eta: 2:59:52 time: 0.7399 data_time: 0.3971 memory: 8322 grad_norm: 4.7799 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0022 loss: 1.0022 2022/08/01 08:26:33 - mmengine - INFO - Epoch(train) [83][400/940] lr: 1.0000e-04 eta: 2:59:38 time: 0.5451 data_time: 0.2825 memory: 8322 grad_norm: 4.7599 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9175 loss: 0.9175 2022/08/01 08:26:47 - mmengine - INFO - Epoch(train) [83][420/940] lr: 1.0000e-04 eta: 2:59:25 time: 0.6835 data_time: 0.3045 memory: 8322 grad_norm: 4.7629 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9537 loss: 0.9537 2022/08/01 08:27:01 - mmengine - INFO - Epoch(train) [83][440/940] lr: 1.0000e-04 eta: 2:59:13 time: 0.7292 data_time: 0.1616 memory: 8322 grad_norm: 4.8052 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9979 loss: 0.9979 2022/08/01 08:27:13 - mmengine - INFO - Epoch(train) [83][460/940] lr: 1.0000e-04 eta: 2:58:59 time: 0.5884 data_time: 0.0794 memory: 8322 grad_norm: 4.6998 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0215 loss: 1.0215 2022/08/01 08:27:26 - mmengine - INFO - Epoch(train) [83][480/940] lr: 1.0000e-04 eta: 2:58:46 time: 0.6542 data_time: 0.1249 memory: 8322 grad_norm: 4.8020 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9816 loss: 0.9816 2022/08/01 08:27:39 - mmengine - INFO - Epoch(train) [83][500/940] lr: 1.0000e-04 eta: 2:58:33 time: 0.6513 data_time: 0.3183 memory: 8322 grad_norm: 4.8915 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1024 loss: 1.1024 2022/08/01 08:27:51 - mmengine - INFO - Epoch(train) [83][520/940] lr: 1.0000e-04 eta: 2:58:20 time: 0.5966 data_time: 0.3513 memory: 8322 grad_norm: 4.8130 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9699 loss: 0.9699 2022/08/01 08:28:06 - mmengine - INFO - Epoch(train) [83][540/940] lr: 1.0000e-04 eta: 2:58:07 time: 0.7384 data_time: 0.4869 memory: 8322 grad_norm: 4.7097 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9570 loss: 0.9570 2022/08/01 08:28:17 - mmengine - INFO - Epoch(train) [83][560/940] lr: 1.0000e-04 eta: 2:57:54 time: 0.5410 data_time: 0.3075 memory: 8322 grad_norm: 4.7603 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1251 loss: 1.1251 2022/08/01 08:28:31 - mmengine - INFO - Epoch(train) [83][580/940] lr: 1.0000e-04 eta: 2:57:41 time: 0.7137 data_time: 0.4454 memory: 8322 grad_norm: 4.8717 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0832 loss: 1.0832 2022/08/01 08:28:43 - mmengine - INFO - Epoch(train) [83][600/940] lr: 1.0000e-04 eta: 2:57:27 time: 0.5878 data_time: 0.3140 memory: 8322 grad_norm: 4.8404 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0856 loss: 1.0856 2022/08/01 08:28:57 - mmengine - INFO - Epoch(train) [83][620/940] lr: 1.0000e-04 eta: 2:57:15 time: 0.7126 data_time: 0.4548 memory: 8322 grad_norm: 4.9529 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1562 loss: 1.1562 2022/08/01 08:29:09 - mmengine - INFO - Epoch(train) [83][640/940] lr: 1.0000e-04 eta: 2:57:01 time: 0.5794 data_time: 0.3127 memory: 8322 grad_norm: 4.8603 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8969 loss: 0.8969 2022/08/01 08:29:23 - mmengine - INFO - Epoch(train) [83][660/940] lr: 1.0000e-04 eta: 2:56:48 time: 0.6922 data_time: 0.4100 memory: 8322 grad_norm: 4.8217 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0313 loss: 1.0313 2022/08/01 08:29:35 - mmengine - INFO - Epoch(train) [83][680/940] lr: 1.0000e-04 eta: 2:56:35 time: 0.6107 data_time: 0.2998 memory: 8322 grad_norm: 4.6756 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0159 loss: 1.0159 2022/08/01 08:29:49 - mmengine - INFO - Epoch(train) [83][700/940] lr: 1.0000e-04 eta: 2:56:22 time: 0.7146 data_time: 0.4014 memory: 8322 grad_norm: 4.8286 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0586 loss: 1.0586 2022/08/01 08:30:01 - mmengine - INFO - Epoch(train) [83][720/940] lr: 1.0000e-04 eta: 2:56:09 time: 0.6209 data_time: 0.2465 memory: 8322 grad_norm: 4.8399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/08/01 08:30:14 - mmengine - INFO - Epoch(train) [83][740/940] lr: 1.0000e-04 eta: 2:55:56 time: 0.6413 data_time: 0.2161 memory: 8322 grad_norm: 4.7478 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0582 loss: 1.0582 2022/08/01 08:30:27 - mmengine - INFO - Epoch(train) [83][760/940] lr: 1.0000e-04 eta: 2:55:43 time: 0.6569 data_time: 0.1592 memory: 8322 grad_norm: 4.7847 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0355 loss: 1.0355 2022/08/01 08:30:39 - mmengine - INFO - Epoch(train) [83][780/940] lr: 1.0000e-04 eta: 2:55:30 time: 0.5977 data_time: 0.0791 memory: 8322 grad_norm: 4.7785 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0758 loss: 1.0758 2022/08/01 08:30:54 - mmengine - INFO - Epoch(train) [83][800/940] lr: 1.0000e-04 eta: 2:55:17 time: 0.7349 data_time: 0.0753 memory: 8322 grad_norm: 4.7126 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1418 loss: 1.1418 2022/08/01 08:31:06 - mmengine - INFO - Epoch(train) [83][820/940] lr: 1.0000e-04 eta: 2:55:04 time: 0.5944 data_time: 0.0346 memory: 8322 grad_norm: 4.7782 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0350 loss: 1.0350 2022/08/01 08:31:21 - mmengine - INFO - Epoch(train) [83][840/940] lr: 1.0000e-04 eta: 2:54:51 time: 0.7412 data_time: 0.0322 memory: 8322 grad_norm: 4.7304 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0905 loss: 1.0905 2022/08/01 08:31:31 - mmengine - INFO - Epoch(train) [83][860/940] lr: 1.0000e-04 eta: 2:54:37 time: 0.4939 data_time: 0.0381 memory: 8322 grad_norm: 4.7879 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9305 loss: 0.9305 2022/08/01 08:31:45 - mmengine - INFO - Epoch(train) [83][880/940] lr: 1.0000e-04 eta: 2:54:25 time: 0.7056 data_time: 0.0248 memory: 8322 grad_norm: 4.8682 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0399 loss: 1.0399 2022/08/01 08:31:56 - mmengine - INFO - Epoch(train) [83][900/940] lr: 1.0000e-04 eta: 2:54:11 time: 0.5679 data_time: 0.0350 memory: 8322 grad_norm: 4.8377 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9977 loss: 0.9977 2022/08/01 08:32:10 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:32:10 - mmengine - INFO - Epoch(train) [83][920/940] lr: 1.0000e-04 eta: 2:53:58 time: 0.7014 data_time: 0.0323 memory: 8322 grad_norm: 4.7128 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0853 loss: 1.0853 2022/08/01 08:32:20 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:32:20 - mmengine - INFO - Epoch(train) [83][940/940] lr: 1.0000e-04 eta: 2:53:45 time: 0.5014 data_time: 0.0484 memory: 8322 grad_norm: 5.1047 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0552 loss: 1.0552 2022/08/01 08:32:34 - mmengine - INFO - Epoch(val) [83][20/78] eta: 0:00:39 time: 0.6822 data_time: 0.6167 memory: 1463 2022/08/01 08:32:43 - mmengine - INFO - Epoch(val) [83][40/78] eta: 0:00:16 time: 0.4335 data_time: 0.3726 memory: 1463 2022/08/01 08:32:56 - mmengine - INFO - Epoch(val) [83][60/78] eta: 0:00:11 time: 0.6536 data_time: 0.5895 memory: 1463 2022/08/01 08:33:08 - mmengine - INFO - Epoch(val) [83][78/78] acc/top1: 0.6920 acc/top5: 0.8832 acc/mean1: 0.6919 2022/08/01 08:33:24 - mmengine - INFO - Epoch(train) [84][20/940] lr: 1.0000e-04 eta: 2:53:32 time: 0.8140 data_time: 0.5606 memory: 8322 grad_norm: 4.9581 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0357 loss: 1.0357 2022/08/01 08:33:35 - mmengine - INFO - Epoch(train) [84][40/940] lr: 1.0000e-04 eta: 2:53:19 time: 0.5614 data_time: 0.2528 memory: 8322 grad_norm: 4.7690 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0867 loss: 1.0867 2022/08/01 08:33:50 - mmengine - INFO - Epoch(train) [84][60/940] lr: 1.0000e-04 eta: 2:53:06 time: 0.7427 data_time: 0.3276 memory: 8322 grad_norm: 4.7550 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0275 loss: 1.0275 2022/08/01 08:34:01 - mmengine - INFO - Epoch(train) [84][80/940] lr: 1.0000e-04 eta: 2:52:53 time: 0.5507 data_time: 0.1376 memory: 8322 grad_norm: 4.8987 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0862 loss: 1.0862 2022/08/01 08:34:16 - mmengine - INFO - Epoch(train) [84][100/940] lr: 1.0000e-04 eta: 2:52:40 time: 0.7448 data_time: 0.1569 memory: 8322 grad_norm: 4.8637 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0071 loss: 1.0071 2022/08/01 08:34:27 - mmengine - INFO - Epoch(train) [84][120/940] lr: 1.0000e-04 eta: 2:52:27 time: 0.5363 data_time: 0.1494 memory: 8322 grad_norm: 4.8126 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9697 loss: 0.9697 2022/08/01 08:34:40 - mmengine - INFO - Epoch(train) [84][140/940] lr: 1.0000e-04 eta: 2:52:14 time: 0.6745 data_time: 0.3571 memory: 8322 grad_norm: 4.9013 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1495 loss: 1.1495 2022/08/01 08:34:52 - mmengine - INFO - Epoch(train) [84][160/940] lr: 1.0000e-04 eta: 2:52:00 time: 0.5992 data_time: 0.3428 memory: 8322 grad_norm: 4.7254 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9763 loss: 0.9763 2022/08/01 08:35:06 - mmengine - INFO - Epoch(train) [84][180/940] lr: 1.0000e-04 eta: 2:51:48 time: 0.7044 data_time: 0.3605 memory: 8322 grad_norm: 4.8065 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0726 loss: 1.0726 2022/08/01 08:35:17 - mmengine - INFO - Epoch(train) [84][200/940] lr: 1.0000e-04 eta: 2:51:34 time: 0.5404 data_time: 0.1536 memory: 8322 grad_norm: 4.8448 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1080 loss: 1.1080 2022/08/01 08:35:32 - mmengine - INFO - Epoch(train) [84][220/940] lr: 1.0000e-04 eta: 2:51:21 time: 0.7336 data_time: 0.1698 memory: 8322 grad_norm: 4.7387 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0580 loss: 1.0580 2022/08/01 08:35:43 - mmengine - INFO - Epoch(train) [84][240/940] lr: 1.0000e-04 eta: 2:51:08 time: 0.5567 data_time: 0.0546 memory: 8322 grad_norm: 4.8929 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.1084 loss: 1.1084 2022/08/01 08:35:58 - mmengine - INFO - Epoch(train) [84][260/940] lr: 1.0000e-04 eta: 2:50:55 time: 0.7331 data_time: 0.0366 memory: 8322 grad_norm: 4.8615 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1244 loss: 1.1244 2022/08/01 08:36:10 - mmengine - INFO - Epoch(train) [84][280/940] lr: 1.0000e-04 eta: 2:50:42 time: 0.6174 data_time: 0.2439 memory: 8322 grad_norm: 4.7327 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9686 loss: 0.9686 2022/08/01 08:36:23 - mmengine - INFO - Epoch(train) [84][300/940] lr: 1.0000e-04 eta: 2:50:29 time: 0.6666 data_time: 0.2853 memory: 8322 grad_norm: 4.7991 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1536 loss: 1.1536 2022/08/01 08:36:35 - mmengine - INFO - Epoch(train) [84][320/940] lr: 1.0000e-04 eta: 2:50:16 time: 0.5685 data_time: 0.2315 memory: 8322 grad_norm: 4.7437 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0317 loss: 1.0317 2022/08/01 08:36:49 - mmengine - INFO - Epoch(train) [84][340/940] lr: 1.0000e-04 eta: 2:50:03 time: 0.7217 data_time: 0.3771 memory: 8322 grad_norm: 4.7143 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9811 loss: 0.9811 2022/08/01 08:37:00 - mmengine - INFO - Epoch(train) [84][360/940] lr: 1.0000e-04 eta: 2:49:49 time: 0.5427 data_time: 0.1931 memory: 8322 grad_norm: 4.7373 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0057 loss: 1.0057 2022/08/01 08:37:15 - mmengine - INFO - Epoch(train) [84][380/940] lr: 1.0000e-04 eta: 2:49:37 time: 0.7343 data_time: 0.1755 memory: 8322 grad_norm: 4.8617 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1251 loss: 1.1251 2022/08/01 08:37:27 - mmengine - INFO - Epoch(train) [84][400/940] lr: 1.0000e-04 eta: 2:49:23 time: 0.6015 data_time: 0.1243 memory: 8322 grad_norm: 4.7299 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0508 loss: 1.0508 2022/08/01 08:37:40 - mmengine - INFO - Epoch(train) [84][420/940] lr: 1.0000e-04 eta: 2:49:10 time: 0.6638 data_time: 0.1677 memory: 8322 grad_norm: 4.7538 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9918 loss: 0.9918 2022/08/01 08:37:52 - mmengine - INFO - Epoch(train) [84][440/940] lr: 1.0000e-04 eta: 2:48:57 time: 0.6023 data_time: 0.2319 memory: 8322 grad_norm: 4.7867 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0493 loss: 1.0493 2022/08/01 08:38:06 - mmengine - INFO - Epoch(train) [84][460/940] lr: 1.0000e-04 eta: 2:48:44 time: 0.6831 data_time: 0.2815 memory: 8322 grad_norm: 4.7165 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0540 loss: 1.0540 2022/08/01 08:38:17 - mmengine - INFO - Epoch(train) [84][480/940] lr: 1.0000e-04 eta: 2:48:31 time: 0.5584 data_time: 0.1082 memory: 8322 grad_norm: 4.8511 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0268 loss: 1.0268 2022/08/01 08:38:31 - mmengine - INFO - Epoch(train) [84][500/940] lr: 1.0000e-04 eta: 2:48:18 time: 0.7141 data_time: 0.0837 memory: 8322 grad_norm: 4.7917 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0133 loss: 1.0133 2022/08/01 08:38:43 - mmengine - INFO - Epoch(train) [84][520/940] lr: 1.0000e-04 eta: 2:48:05 time: 0.6110 data_time: 0.1012 memory: 8322 grad_norm: 4.8957 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0855 loss: 1.0855 2022/08/01 08:38:58 - mmengine - INFO - Epoch(train) [84][540/940] lr: 1.0000e-04 eta: 2:47:52 time: 0.7039 data_time: 0.3088 memory: 8322 grad_norm: 4.8650 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1141 loss: 1.1141 2022/08/01 08:39:08 - mmengine - INFO - Epoch(train) [84][560/940] lr: 1.0000e-04 eta: 2:47:38 time: 0.5411 data_time: 0.1656 memory: 8322 grad_norm: 4.8526 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1120 loss: 1.1120 2022/08/01 08:39:23 - mmengine - INFO - Epoch(train) [84][580/940] lr: 1.0000e-04 eta: 2:47:26 time: 0.7088 data_time: 0.1779 memory: 8322 grad_norm: 4.8578 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1321 loss: 1.1321 2022/08/01 08:39:34 - mmengine - INFO - Epoch(train) [84][600/940] lr: 1.0000e-04 eta: 2:47:12 time: 0.5736 data_time: 0.1923 memory: 8322 grad_norm: 4.7037 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9591 loss: 0.9591 2022/08/01 08:39:48 - mmengine - INFO - Epoch(train) [84][620/940] lr: 1.0000e-04 eta: 2:46:59 time: 0.6932 data_time: 0.1034 memory: 8322 grad_norm: 4.8105 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9241 loss: 0.9241 2022/08/01 08:39:59 - mmengine - INFO - Epoch(train) [84][640/940] lr: 1.0000e-04 eta: 2:46:46 time: 0.5750 data_time: 0.0899 memory: 8322 grad_norm: 4.7654 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0349 loss: 1.0349 2022/08/01 08:40:14 - mmengine - INFO - Epoch(train) [84][660/940] lr: 1.0000e-04 eta: 2:46:33 time: 0.7420 data_time: 0.1435 memory: 8322 grad_norm: 4.7562 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0688 loss: 1.0688 2022/08/01 08:40:26 - mmengine - INFO - Epoch(train) [84][680/940] lr: 1.0000e-04 eta: 2:46:20 time: 0.6016 data_time: 0.0938 memory: 8322 grad_norm: 4.8236 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0832 loss: 1.0832 2022/08/01 08:40:40 - mmengine - INFO - Epoch(train) [84][700/940] lr: 1.0000e-04 eta: 2:46:07 time: 0.6888 data_time: 0.0526 memory: 8322 grad_norm: 4.7210 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1389 loss: 1.1389 2022/08/01 08:40:51 - mmengine - INFO - Epoch(train) [84][720/940] lr: 1.0000e-04 eta: 2:45:54 time: 0.5441 data_time: 0.0269 memory: 8322 grad_norm: 4.7326 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0879 loss: 1.0879 2022/08/01 08:41:05 - mmengine - INFO - Epoch(train) [84][740/940] lr: 1.0000e-04 eta: 2:45:41 time: 0.7210 data_time: 0.0360 memory: 8322 grad_norm: 4.8500 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9685 loss: 0.9685 2022/08/01 08:41:17 - mmengine - INFO - Epoch(train) [84][760/940] lr: 1.0000e-04 eta: 2:45:28 time: 0.5731 data_time: 0.0284 memory: 8322 grad_norm: 4.6873 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9951 loss: 0.9951 2022/08/01 08:41:31 - mmengine - INFO - Epoch(train) [84][780/940] lr: 1.0000e-04 eta: 2:45:15 time: 0.7109 data_time: 0.0382 memory: 8322 grad_norm: 4.6836 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0379 loss: 1.0379 2022/08/01 08:41:43 - mmengine - INFO - Epoch(train) [84][800/940] lr: 1.0000e-04 eta: 2:45:01 time: 0.5681 data_time: 0.0300 memory: 8322 grad_norm: 4.7841 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0698 loss: 1.0698 2022/08/01 08:41:56 - mmengine - INFO - Epoch(train) [84][820/940] lr: 1.0000e-04 eta: 2:44:49 time: 0.6977 data_time: 0.0318 memory: 8322 grad_norm: 4.8515 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0555 loss: 1.0555 2022/08/01 08:42:09 - mmengine - INFO - Epoch(train) [84][840/940] lr: 1.0000e-04 eta: 2:44:35 time: 0.6072 data_time: 0.0329 memory: 8322 grad_norm: 4.7642 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0763 loss: 1.0763 2022/08/01 08:42:22 - mmengine - INFO - Epoch(train) [84][860/940] lr: 1.0000e-04 eta: 2:44:22 time: 0.6730 data_time: 0.0438 memory: 8322 grad_norm: 5.0128 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0890 loss: 1.0890 2022/08/01 08:42:34 - mmengine - INFO - Epoch(train) [84][880/940] lr: 1.0000e-04 eta: 2:44:09 time: 0.5878 data_time: 0.0472 memory: 8322 grad_norm: 4.7300 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0267 loss: 1.0267 2022/08/01 08:42:48 - mmengine - INFO - Epoch(train) [84][900/940] lr: 1.0000e-04 eta: 2:43:56 time: 0.6998 data_time: 0.0349 memory: 8322 grad_norm: 4.7518 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1199 loss: 1.1199 2022/08/01 08:42:59 - mmengine - INFO - Epoch(train) [84][920/940] lr: 1.0000e-04 eta: 2:43:43 time: 0.5788 data_time: 0.0405 memory: 8322 grad_norm: 4.8582 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9611 loss: 0.9611 2022/08/01 08:43:11 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:43:11 - mmengine - INFO - Epoch(train) [84][940/940] lr: 1.0000e-04 eta: 2:43:30 time: 0.5936 data_time: 0.0275 memory: 8322 grad_norm: 5.0583 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 1.0247 loss: 1.0247 2022/08/01 08:43:11 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/01 08:43:27 - mmengine - INFO - Epoch(val) [84][20/78] eta: 0:00:39 time: 0.6843 data_time: 0.6230 memory: 1463 2022/08/01 08:43:36 - mmengine - INFO - Epoch(val) [84][40/78] eta: 0:00:16 time: 0.4332 data_time: 0.3714 memory: 1463 2022/08/01 08:43:49 - mmengine - INFO - Epoch(val) [84][60/78] eta: 0:00:11 time: 0.6435 data_time: 0.5821 memory: 1463 2022/08/01 08:43:59 - mmengine - INFO - Epoch(val) [84][78/78] acc/top1: 0.6907 acc/top5: 0.8832 acc/mean1: 0.6907 2022/08/01 08:44:16 - mmengine - INFO - Epoch(train) [85][20/940] lr: 1.0000e-04 eta: 2:43:17 time: 0.8119 data_time: 0.5424 memory: 8322 grad_norm: 4.9001 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0683 loss: 1.0683 2022/08/01 08:44:26 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:44:26 - mmengine - INFO - Epoch(train) [85][40/940] lr: 1.0000e-04 eta: 2:43:04 time: 0.5398 data_time: 0.3199 memory: 8322 grad_norm: 4.7659 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0269 loss: 1.0269 2022/08/01 08:44:41 - mmengine - INFO - Epoch(train) [85][60/940] lr: 1.0000e-04 eta: 2:42:51 time: 0.7439 data_time: 0.3892 memory: 8322 grad_norm: 4.7311 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0478 loss: 1.0478 2022/08/01 08:44:54 - mmengine - INFO - Epoch(train) [85][80/940] lr: 1.0000e-04 eta: 2:42:38 time: 0.6623 data_time: 0.2235 memory: 8322 grad_norm: 4.8315 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0153 loss: 1.0153 2022/08/01 08:45:07 - mmengine - INFO - Epoch(train) [85][100/940] lr: 1.0000e-04 eta: 2:42:25 time: 0.6463 data_time: 0.3350 memory: 8322 grad_norm: 4.7621 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0284 loss: 1.0284 2022/08/01 08:45:19 - mmengine - INFO - Epoch(train) [85][120/940] lr: 1.0000e-04 eta: 2:42:12 time: 0.5644 data_time: 0.2314 memory: 8322 grad_norm: 4.8624 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9717 loss: 0.9717 2022/08/01 08:45:33 - mmengine - INFO - Epoch(train) [85][140/940] lr: 1.0000e-04 eta: 2:41:59 time: 0.7124 data_time: 0.2688 memory: 8322 grad_norm: 4.7770 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9987 loss: 0.9987 2022/08/01 08:45:44 - mmengine - INFO - Epoch(train) [85][160/940] lr: 1.0000e-04 eta: 2:41:45 time: 0.5338 data_time: 0.0921 memory: 8322 grad_norm: 4.9330 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0768 loss: 1.0768 2022/08/01 08:45:58 - mmengine - INFO - Epoch(train) [85][180/940] lr: 1.0000e-04 eta: 2:41:32 time: 0.7049 data_time: 0.1289 memory: 8322 grad_norm: 4.7713 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0965 loss: 1.0965 2022/08/01 08:46:09 - mmengine - INFO - Epoch(train) [85][200/940] lr: 1.0000e-04 eta: 2:41:19 time: 0.5536 data_time: 0.1289 memory: 8322 grad_norm: 4.8228 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0005 loss: 1.0005 2022/08/01 08:46:24 - mmengine - INFO - Epoch(train) [85][220/940] lr: 1.0000e-04 eta: 2:41:06 time: 0.7526 data_time: 0.1828 memory: 8322 grad_norm: 4.7139 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0257 loss: 1.0257 2022/08/01 08:46:35 - mmengine - INFO - Epoch(train) [85][240/940] lr: 1.0000e-04 eta: 2:40:53 time: 0.5313 data_time: 0.0550 memory: 8322 grad_norm: 4.7606 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9952 loss: 0.9952 2022/08/01 08:46:49 - mmengine - INFO - Epoch(train) [85][260/940] lr: 1.0000e-04 eta: 2:40:40 time: 0.7090 data_time: 0.0558 memory: 8322 grad_norm: 4.8511 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0878 loss: 1.0878 2022/08/01 08:46:59 - mmengine - INFO - Epoch(train) [85][280/940] lr: 1.0000e-04 eta: 2:40:26 time: 0.5376 data_time: 0.1530 memory: 8322 grad_norm: 4.6850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9930 loss: 0.9930 2022/08/01 08:47:14 - mmengine - INFO - Epoch(train) [85][300/940] lr: 1.0000e-04 eta: 2:40:14 time: 0.7350 data_time: 0.2326 memory: 8322 grad_norm: 4.7512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0100 loss: 1.0100 2022/08/01 08:47:26 - mmengine - INFO - Epoch(train) [85][320/940] lr: 1.0000e-04 eta: 2:40:00 time: 0.5668 data_time: 0.0411 memory: 8322 grad_norm: 4.7764 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0127 loss: 1.0127 2022/08/01 08:47:39 - mmengine - INFO - Epoch(train) [85][340/940] lr: 1.0000e-04 eta: 2:39:47 time: 0.6834 data_time: 0.0368 memory: 8322 grad_norm: 4.7996 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1949 loss: 1.1949 2022/08/01 08:47:50 - mmengine - INFO - Epoch(train) [85][360/940] lr: 1.0000e-04 eta: 2:39:34 time: 0.5588 data_time: 0.0505 memory: 8322 grad_norm: 4.9158 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0949 loss: 1.0949 2022/08/01 08:48:05 - mmengine - INFO - Epoch(train) [85][380/940] lr: 1.0000e-04 eta: 2:39:21 time: 0.7008 data_time: 0.1754 memory: 8322 grad_norm: 4.7999 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0129 loss: 1.0129 2022/08/01 08:48:17 - mmengine - INFO - Epoch(train) [85][400/940] lr: 1.0000e-04 eta: 2:39:08 time: 0.6265 data_time: 0.2696 memory: 8322 grad_norm: 4.7569 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9453 loss: 0.9453 2022/08/01 08:48:32 - mmengine - INFO - Epoch(train) [85][420/940] lr: 1.0000e-04 eta: 2:38:55 time: 0.7299 data_time: 0.2461 memory: 8322 grad_norm: 4.9339 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1048 loss: 1.1048 2022/08/01 08:48:42 - mmengine - INFO - Epoch(train) [85][440/940] lr: 1.0000e-04 eta: 2:38:42 time: 0.5398 data_time: 0.0966 memory: 8322 grad_norm: 4.6357 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9361 loss: 0.9361 2022/08/01 08:48:57 - mmengine - INFO - Epoch(train) [85][460/940] lr: 1.0000e-04 eta: 2:38:29 time: 0.7544 data_time: 0.1724 memory: 8322 grad_norm: 4.6856 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1175 loss: 1.1175 2022/08/01 08:49:09 - mmengine - INFO - Epoch(train) [85][480/940] lr: 1.0000e-04 eta: 2:38:16 time: 0.5682 data_time: 0.0722 memory: 8322 grad_norm: 4.7529 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1251 loss: 1.1251 2022/08/01 08:49:23 - mmengine - INFO - Epoch(train) [85][500/940] lr: 1.0000e-04 eta: 2:38:03 time: 0.6803 data_time: 0.0405 memory: 8322 grad_norm: 4.8248 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1219 loss: 1.1219 2022/08/01 08:49:34 - mmengine - INFO - Epoch(train) [85][520/940] lr: 1.0000e-04 eta: 2:37:49 time: 0.5573 data_time: 0.0355 memory: 8322 grad_norm: 4.8208 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0265 loss: 1.0265 2022/08/01 08:49:48 - mmengine - INFO - Epoch(train) [85][540/940] lr: 1.0000e-04 eta: 2:37:37 time: 0.7140 data_time: 0.0313 memory: 8322 grad_norm: 4.8277 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0267 loss: 1.0267 2022/08/01 08:50:00 - mmengine - INFO - Epoch(train) [85][560/940] lr: 1.0000e-04 eta: 2:37:23 time: 0.5803 data_time: 0.0297 memory: 8322 grad_norm: 4.7774 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0424 loss: 1.0424 2022/08/01 08:50:15 - mmengine - INFO - Epoch(train) [85][580/940] lr: 1.0000e-04 eta: 2:37:11 time: 0.7646 data_time: 0.0322 memory: 8322 grad_norm: 4.7471 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9485 loss: 0.9485 2022/08/01 08:50:26 - mmengine - INFO - Epoch(train) [85][600/940] lr: 1.0000e-04 eta: 2:36:57 time: 0.5700 data_time: 0.0293 memory: 8322 grad_norm: 4.8198 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9955 loss: 0.9955 2022/08/01 08:50:41 - mmengine - INFO - Epoch(train) [85][620/940] lr: 1.0000e-04 eta: 2:36:45 time: 0.7173 data_time: 0.0334 memory: 8322 grad_norm: 4.7270 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9850 loss: 0.9850 2022/08/01 08:50:52 - mmengine - INFO - Epoch(train) [85][640/940] lr: 1.0000e-04 eta: 2:36:31 time: 0.5705 data_time: 0.0305 memory: 8322 grad_norm: 4.8215 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0421 loss: 1.0421 2022/08/01 08:51:06 - mmengine - INFO - Epoch(train) [85][660/940] lr: 1.0000e-04 eta: 2:36:18 time: 0.6995 data_time: 0.0330 memory: 8322 grad_norm: 4.7137 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0675 loss: 1.0675 2022/08/01 08:51:17 - mmengine - INFO - Epoch(train) [85][680/940] lr: 1.0000e-04 eta: 2:36:05 time: 0.5489 data_time: 0.0357 memory: 8322 grad_norm: 4.7182 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0027 loss: 1.0027 2022/08/01 08:51:33 - mmengine - INFO - Epoch(train) [85][700/940] lr: 1.0000e-04 eta: 2:35:52 time: 0.8000 data_time: 0.2430 memory: 8322 grad_norm: 4.8268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9716 loss: 0.9716 2022/08/01 08:51:44 - mmengine - INFO - Epoch(train) [85][720/940] lr: 1.0000e-04 eta: 2:35:39 time: 0.5435 data_time: 0.1699 memory: 8322 grad_norm: 4.8193 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9788 loss: 0.9788 2022/08/01 08:51:58 - mmengine - INFO - Epoch(train) [85][740/940] lr: 1.0000e-04 eta: 2:35:26 time: 0.7171 data_time: 0.2052 memory: 8322 grad_norm: 4.7521 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9589 loss: 0.9589 2022/08/01 08:52:09 - mmengine - INFO - Epoch(train) [85][760/940] lr: 1.0000e-04 eta: 2:35:13 time: 0.5341 data_time: 0.0878 memory: 8322 grad_norm: 4.7782 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0428 loss: 1.0428 2022/08/01 08:52:23 - mmengine - INFO - Epoch(train) [85][780/940] lr: 1.0000e-04 eta: 2:35:00 time: 0.7226 data_time: 0.0398 memory: 8322 grad_norm: 4.7299 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1802 loss: 1.1802 2022/08/01 08:52:35 - mmengine - INFO - Epoch(train) [85][800/940] lr: 1.0000e-04 eta: 2:34:47 time: 0.5883 data_time: 0.0817 memory: 8322 grad_norm: 4.8432 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9176 loss: 0.9176 2022/08/01 08:52:50 - mmengine - INFO - Epoch(train) [85][820/940] lr: 1.0000e-04 eta: 2:34:34 time: 0.7188 data_time: 0.0852 memory: 8322 grad_norm: 4.7799 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9413 loss: 0.9413 2022/08/01 08:53:01 - mmengine - INFO - Epoch(train) [85][840/940] lr: 1.0000e-04 eta: 2:34:20 time: 0.5573 data_time: 0.0531 memory: 8322 grad_norm: 4.8256 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1077 loss: 1.1077 2022/08/01 08:53:15 - mmengine - INFO - Epoch(train) [85][860/940] lr: 1.0000e-04 eta: 2:34:08 time: 0.7264 data_time: 0.2417 memory: 8322 grad_norm: 4.7304 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9733 loss: 0.9733 2022/08/01 08:53:27 - mmengine - INFO - Epoch(train) [85][880/940] lr: 1.0000e-04 eta: 2:33:54 time: 0.5638 data_time: 0.2553 memory: 8322 grad_norm: 4.7810 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1456 loss: 1.1456 2022/08/01 08:53:40 - mmengine - INFO - Epoch(train) [85][900/940] lr: 1.0000e-04 eta: 2:33:41 time: 0.6982 data_time: 0.3107 memory: 8322 grad_norm: 4.7745 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1153 loss: 1.1153 2022/08/01 08:53:51 - mmengine - INFO - Epoch(train) [85][920/940] lr: 1.0000e-04 eta: 2:33:28 time: 0.5387 data_time: 0.2101 memory: 8322 grad_norm: 4.8299 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0021 loss: 1.0021 2022/08/01 08:54:05 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:54:05 - mmengine - INFO - Epoch(train) [85][940/940] lr: 1.0000e-04 eta: 2:33:15 time: 0.6716 data_time: 0.3306 memory: 8322 grad_norm: 5.2303 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.0802 loss: 1.0802 2022/08/01 08:54:18 - mmengine - INFO - Epoch(val) [85][20/78] eta: 0:00:38 time: 0.6706 data_time: 0.6067 memory: 1463 2022/08/01 08:54:27 - mmengine - INFO - Epoch(val) [85][40/78] eta: 0:00:16 time: 0.4392 data_time: 0.3756 memory: 1463 2022/08/01 08:54:40 - mmengine - INFO - Epoch(val) [85][60/78] eta: 0:00:11 time: 0.6357 data_time: 0.5726 memory: 1463 2022/08/01 08:54:51 - mmengine - INFO - Epoch(val) [85][78/78] acc/top1: 0.6917 acc/top5: 0.8839 acc/mean1: 0.6915 2022/08/01 08:55:07 - mmengine - INFO - Epoch(train) [86][20/940] lr: 1.0000e-04 eta: 2:33:03 time: 0.8188 data_time: 0.5793 memory: 8322 grad_norm: 4.8250 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1057 loss: 1.1057 2022/08/01 08:55:18 - mmengine - INFO - Epoch(train) [86][40/940] lr: 1.0000e-04 eta: 2:32:49 time: 0.5435 data_time: 0.2789 memory: 8322 grad_norm: 4.9019 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1144 loss: 1.1144 2022/08/01 08:55:32 - mmengine - INFO - Epoch(train) [86][60/940] lr: 1.0000e-04 eta: 2:32:36 time: 0.7093 data_time: 0.3564 memory: 8322 grad_norm: 4.8132 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9944 loss: 0.9944 2022/08/01 08:55:45 - mmengine - INFO - Epoch(train) [86][80/940] lr: 1.0000e-04 eta: 2:32:23 time: 0.6235 data_time: 0.2087 memory: 8322 grad_norm: 4.9062 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.0764 loss: 1.0764 2022/08/01 08:55:57 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 08:55:57 - mmengine - INFO - Epoch(train) [86][100/940] lr: 1.0000e-04 eta: 2:32:10 time: 0.6283 data_time: 0.1793 memory: 8322 grad_norm: 4.8467 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1354 loss: 1.1354 2022/08/01 08:56:09 - mmengine - INFO - Epoch(train) [86][120/940] lr: 1.0000e-04 eta: 2:31:57 time: 0.5819 data_time: 0.1145 memory: 8322 grad_norm: 4.7963 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9682 loss: 0.9682 2022/08/01 08:56:24 - mmengine - INFO - Epoch(train) [86][140/940] lr: 1.0000e-04 eta: 2:31:44 time: 0.7688 data_time: 0.1083 memory: 8322 grad_norm: 4.8167 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9862 loss: 0.9862 2022/08/01 08:56:35 - mmengine - INFO - Epoch(train) [86][160/940] lr: 1.0000e-04 eta: 2:31:31 time: 0.5273 data_time: 0.0333 memory: 8322 grad_norm: 4.8046 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9231 loss: 0.9231 2022/08/01 08:56:48 - mmengine - INFO - Epoch(train) [86][180/940] lr: 1.0000e-04 eta: 2:31:18 time: 0.6399 data_time: 0.0425 memory: 8322 grad_norm: 4.7417 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0138 loss: 1.0138 2022/08/01 08:57:01 - mmengine - INFO - Epoch(train) [86][200/940] lr: 1.0000e-04 eta: 2:31:05 time: 0.6706 data_time: 0.0758 memory: 8322 grad_norm: 4.6371 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8837 loss: 0.8837 2022/08/01 08:57:15 - mmengine - INFO - Epoch(train) [86][220/940] lr: 1.0000e-04 eta: 2:30:52 time: 0.6666 data_time: 0.1595 memory: 8322 grad_norm: 4.7584 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9919 loss: 0.9919 2022/08/01 08:57:27 - mmengine - INFO - Epoch(train) [86][240/940] lr: 1.0000e-04 eta: 2:30:38 time: 0.6274 data_time: 0.1843 memory: 8322 grad_norm: 4.8572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0061 loss: 1.0061 2022/08/01 08:57:42 - mmengine - INFO - Epoch(train) [86][260/940] lr: 1.0000e-04 eta: 2:30:26 time: 0.7378 data_time: 0.3018 memory: 8322 grad_norm: 4.8296 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 0.8812 loss: 0.8812 2022/08/01 08:57:53 - mmengine - INFO - Epoch(train) [86][280/940] lr: 1.0000e-04 eta: 2:30:12 time: 0.5634 data_time: 0.1013 memory: 8322 grad_norm: 4.8138 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0674 loss: 1.0674 2022/08/01 08:58:07 - mmengine - INFO - Epoch(train) [86][300/940] lr: 1.0000e-04 eta: 2:29:59 time: 0.7035 data_time: 0.0346 memory: 8322 grad_norm: 4.7676 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9817 loss: 0.9817 2022/08/01 08:58:18 - mmengine - INFO - Epoch(train) [86][320/940] lr: 1.0000e-04 eta: 2:29:46 time: 0.5258 data_time: 0.0257 memory: 8322 grad_norm: 4.7814 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1820 loss: 1.1820 2022/08/01 08:58:33 - mmengine - INFO - Epoch(train) [86][340/940] lr: 1.0000e-04 eta: 2:29:33 time: 0.7448 data_time: 0.1321 memory: 8322 grad_norm: 4.8339 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0711 loss: 1.0711 2022/08/01 08:58:45 - mmengine - INFO - Epoch(train) [86][360/940] lr: 1.0000e-04 eta: 2:29:20 time: 0.6061 data_time: 0.1162 memory: 8322 grad_norm: 4.7802 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9806 loss: 0.9806 2022/08/01 08:58:58 - mmengine - INFO - Epoch(train) [86][380/940] lr: 1.0000e-04 eta: 2:29:07 time: 0.6697 data_time: 0.0820 memory: 8322 grad_norm: 4.8377 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1656 loss: 1.1656 2022/08/01 08:59:09 - mmengine - INFO - Epoch(train) [86][400/940] lr: 1.0000e-04 eta: 2:28:54 time: 0.5440 data_time: 0.1226 memory: 8322 grad_norm: 4.8036 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1277 loss: 1.1277 2022/08/01 08:59:24 - mmengine - INFO - Epoch(train) [86][420/940] lr: 1.0000e-04 eta: 2:28:41 time: 0.7541 data_time: 0.1306 memory: 8322 grad_norm: 4.9092 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0286 loss: 1.0286 2022/08/01 08:59:37 - mmengine - INFO - Epoch(train) [86][440/940] lr: 1.0000e-04 eta: 2:28:28 time: 0.6250 data_time: 0.1000 memory: 8322 grad_norm: 4.6637 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0067 loss: 1.0067 2022/08/01 08:59:49 - mmengine - INFO - Epoch(train) [86][460/940] lr: 1.0000e-04 eta: 2:28:15 time: 0.6368 data_time: 0.1447 memory: 8322 grad_norm: 4.7744 top1_acc: 0.8438 top5_acc: 0.8438 loss_cls: 1.0640 loss: 1.0640 2022/08/01 09:00:01 - mmengine - INFO - Epoch(train) [86][480/940] lr: 1.0000e-04 eta: 2:28:01 time: 0.5958 data_time: 0.1325 memory: 8322 grad_norm: 4.8426 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0155 loss: 1.0155 2022/08/01 09:00:16 - mmengine - INFO - Epoch(train) [86][500/940] lr: 1.0000e-04 eta: 2:27:49 time: 0.7457 data_time: 0.0988 memory: 8322 grad_norm: 4.8315 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0041 loss: 1.0041 2022/08/01 09:00:28 - mmengine - INFO - Epoch(train) [86][520/940] lr: 1.0000e-04 eta: 2:27:36 time: 0.5974 data_time: 0.0984 memory: 8322 grad_norm: 4.8882 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.0748 loss: 1.0748 2022/08/01 09:00:43 - mmengine - INFO - Epoch(train) [86][540/940] lr: 1.0000e-04 eta: 2:27:23 time: 0.7349 data_time: 0.0363 memory: 8322 grad_norm: 4.8333 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0806 loss: 1.0806 2022/08/01 09:00:54 - mmengine - INFO - Epoch(train) [86][560/940] lr: 1.0000e-04 eta: 2:27:09 time: 0.5308 data_time: 0.1235 memory: 8322 grad_norm: 4.7811 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0746 loss: 1.0746 2022/08/01 09:01:08 - mmengine - INFO - Epoch(train) [86][580/940] lr: 1.0000e-04 eta: 2:26:57 time: 0.7204 data_time: 0.3289 memory: 8322 grad_norm: 4.7685 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0305 loss: 1.0305 2022/08/01 09:01:19 - mmengine - INFO - Epoch(train) [86][600/940] lr: 1.0000e-04 eta: 2:26:43 time: 0.5707 data_time: 0.2484 memory: 8322 grad_norm: 4.8142 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0152 loss: 1.0152 2022/08/01 09:01:34 - mmengine - INFO - Epoch(train) [86][620/940] lr: 1.0000e-04 eta: 2:26:30 time: 0.7403 data_time: 0.3728 memory: 8322 grad_norm: 4.9221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0096 loss: 1.0096 2022/08/01 09:01:45 - mmengine - INFO - Epoch(train) [86][640/940] lr: 1.0000e-04 eta: 2:26:17 time: 0.5271 data_time: 0.2732 memory: 8322 grad_norm: 4.8608 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0522 loss: 1.0522 2022/08/01 09:01:59 - mmengine - INFO - Epoch(train) [86][660/940] lr: 1.0000e-04 eta: 2:26:04 time: 0.6996 data_time: 0.4235 memory: 8322 grad_norm: 4.8287 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0483 loss: 1.0483 2022/08/01 09:02:11 - mmengine - INFO - Epoch(train) [86][680/940] lr: 1.0000e-04 eta: 2:25:51 time: 0.6042 data_time: 0.3586 memory: 8322 grad_norm: 4.8064 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0883 loss: 1.0883 2022/08/01 09:02:26 - mmengine - INFO - Epoch(train) [86][700/940] lr: 1.0000e-04 eta: 2:25:38 time: 0.7513 data_time: 0.4447 memory: 8322 grad_norm: 4.7687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9436 loss: 0.9436 2022/08/01 09:02:37 - mmengine - INFO - Epoch(train) [86][720/940] lr: 1.0000e-04 eta: 2:25:25 time: 0.5331 data_time: 0.2826 memory: 8322 grad_norm: 4.8877 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1246 loss: 1.1246 2022/08/01 09:02:50 - mmengine - INFO - Epoch(train) [86][740/940] lr: 1.0000e-04 eta: 2:25:12 time: 0.6967 data_time: 0.4294 memory: 8322 grad_norm: 4.8030 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9942 loss: 0.9942 2022/08/01 09:03:02 - mmengine - INFO - Epoch(train) [86][760/940] lr: 1.0000e-04 eta: 2:24:59 time: 0.5801 data_time: 0.2990 memory: 8322 grad_norm: 4.8613 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9799 loss: 0.9799 2022/08/01 09:03:16 - mmengine - INFO - Epoch(train) [86][780/940] lr: 1.0000e-04 eta: 2:24:46 time: 0.7074 data_time: 0.4394 memory: 8322 grad_norm: 4.8057 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9452 loss: 0.9452 2022/08/01 09:03:27 - mmengine - INFO - Epoch(train) [86][800/940] lr: 1.0000e-04 eta: 2:24:32 time: 0.5519 data_time: 0.2991 memory: 8322 grad_norm: 4.8326 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0448 loss: 1.0448 2022/08/01 09:03:41 - mmengine - INFO - Epoch(train) [86][820/940] lr: 1.0000e-04 eta: 2:24:19 time: 0.6779 data_time: 0.4283 memory: 8322 grad_norm: 4.7452 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0045 loss: 1.0045 2022/08/01 09:03:53 - mmengine - INFO - Epoch(train) [86][840/940] lr: 1.0000e-04 eta: 2:24:06 time: 0.6024 data_time: 0.2524 memory: 8322 grad_norm: 4.7732 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0585 loss: 1.0585 2022/08/01 09:04:08 - mmengine - INFO - Epoch(train) [86][860/940] lr: 1.0000e-04 eta: 2:23:53 time: 0.7213 data_time: 0.2147 memory: 8322 grad_norm: 4.8936 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0951 loss: 1.0951 2022/08/01 09:04:19 - mmengine - INFO - Epoch(train) [86][880/940] lr: 1.0000e-04 eta: 2:23:40 time: 0.5773 data_time: 0.0588 memory: 8322 grad_norm: 4.8577 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0347 loss: 1.0347 2022/08/01 09:04:33 - mmengine - INFO - Epoch(train) [86][900/940] lr: 1.0000e-04 eta: 2:23:27 time: 0.6893 data_time: 0.0375 memory: 8322 grad_norm: 4.8268 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0129 loss: 1.0129 2022/08/01 09:04:44 - mmengine - INFO - Epoch(train) [86][920/940] lr: 1.0000e-04 eta: 2:23:14 time: 0.5749 data_time: 0.0667 memory: 8322 grad_norm: 4.8028 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9857 loss: 0.9857 2022/08/01 09:04:57 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:04:57 - mmengine - INFO - Epoch(train) [86][940/940] lr: 1.0000e-04 eta: 2:23:01 time: 0.6482 data_time: 0.0283 memory: 8322 grad_norm: 5.2216 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1579 loss: 1.1579 2022/08/01 09:05:11 - mmengine - INFO - Epoch(val) [86][20/78] eta: 0:00:38 time: 0.6684 data_time: 0.6033 memory: 1463 2022/08/01 09:05:19 - mmengine - INFO - Epoch(val) [86][40/78] eta: 0:00:16 time: 0.4415 data_time: 0.3774 memory: 1463 2022/08/01 09:05:33 - mmengine - INFO - Epoch(val) [86][60/78] eta: 0:00:11 time: 0.6556 data_time: 0.5930 memory: 1463 2022/08/01 09:05:43 - mmengine - INFO - Epoch(val) [86][78/78] acc/top1: 0.6919 acc/top5: 0.8847 acc/mean1: 0.6917 2022/08/01 09:06:00 - mmengine - INFO - Epoch(train) [87][20/940] lr: 1.0000e-04 eta: 2:22:48 time: 0.8074 data_time: 0.4726 memory: 8322 grad_norm: 4.8841 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0315 loss: 1.0315 2022/08/01 09:06:10 - mmengine - INFO - Epoch(train) [87][40/940] lr: 1.0000e-04 eta: 2:22:35 time: 0.5482 data_time: 0.2043 memory: 8322 grad_norm: 4.6473 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1110 loss: 1.1110 2022/08/01 09:06:25 - mmengine - INFO - Epoch(train) [87][60/940] lr: 1.0000e-04 eta: 2:22:22 time: 0.7191 data_time: 0.1635 memory: 8322 grad_norm: 4.7941 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0569 loss: 1.0569 2022/08/01 09:06:37 - mmengine - INFO - Epoch(train) [87][80/940] lr: 1.0000e-04 eta: 2:22:09 time: 0.5860 data_time: 0.1286 memory: 8322 grad_norm: 4.9806 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9563 loss: 0.9563 2022/08/01 09:06:51 - mmengine - INFO - Epoch(train) [87][100/940] lr: 1.0000e-04 eta: 2:21:56 time: 0.7002 data_time: 0.1196 memory: 8322 grad_norm: 4.7773 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0535 loss: 1.0535 2022/08/01 09:07:02 - mmengine - INFO - Epoch(train) [87][120/940] lr: 1.0000e-04 eta: 2:21:43 time: 0.5620 data_time: 0.0459 memory: 8322 grad_norm: 4.7470 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0018 loss: 1.0018 2022/08/01 09:07:16 - mmengine - INFO - Epoch(train) [87][140/940] lr: 1.0000e-04 eta: 2:21:30 time: 0.6823 data_time: 0.0518 memory: 8322 grad_norm: 4.9268 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0228 loss: 1.0228 2022/08/01 09:07:28 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:07:28 - mmengine - INFO - Epoch(train) [87][160/940] lr: 1.0000e-04 eta: 2:21:17 time: 0.6188 data_time: 0.0581 memory: 8322 grad_norm: 4.7934 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1786 loss: 1.1786 2022/08/01 09:07:41 - mmengine - INFO - Epoch(train) [87][180/940] lr: 1.0000e-04 eta: 2:21:03 time: 0.6534 data_time: 0.0363 memory: 8322 grad_norm: 4.8546 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0438 loss: 1.0438 2022/08/01 09:07:53 - mmengine - INFO - Epoch(train) [87][200/940] lr: 1.0000e-04 eta: 2:20:50 time: 0.6039 data_time: 0.0475 memory: 8322 grad_norm: 4.7257 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9736 loss: 0.9736 2022/08/01 09:08:07 - mmengine - INFO - Epoch(train) [87][220/940] lr: 1.0000e-04 eta: 2:20:37 time: 0.6916 data_time: 0.0834 memory: 8322 grad_norm: 4.6493 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0349 loss: 1.0349 2022/08/01 09:08:19 - mmengine - INFO - Epoch(train) [87][240/940] lr: 1.0000e-04 eta: 2:20:24 time: 0.6084 data_time: 0.1249 memory: 8322 grad_norm: 4.7162 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9267 loss: 0.9267 2022/08/01 09:08:32 - mmengine - INFO - Epoch(train) [87][260/940] lr: 1.0000e-04 eta: 2:20:11 time: 0.6722 data_time: 0.0563 memory: 8322 grad_norm: 4.7615 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0421 loss: 1.0421 2022/08/01 09:08:47 - mmengine - INFO - Epoch(train) [87][280/940] lr: 1.0000e-04 eta: 2:19:58 time: 0.7055 data_time: 0.0442 memory: 8322 grad_norm: 4.7258 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9887 loss: 0.9887 2022/08/01 09:08:59 - mmengine - INFO - Epoch(train) [87][300/940] lr: 1.0000e-04 eta: 2:19:45 time: 0.6118 data_time: 0.0322 memory: 8322 grad_norm: 4.9319 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9298 loss: 0.9298 2022/08/01 09:09:13 - mmengine - INFO - Epoch(train) [87][320/940] lr: 1.0000e-04 eta: 2:19:32 time: 0.7224 data_time: 0.0413 memory: 8322 grad_norm: 4.8524 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0516 loss: 1.0516 2022/08/01 09:09:25 - mmengine - INFO - Epoch(train) [87][340/940] lr: 1.0000e-04 eta: 2:19:19 time: 0.5712 data_time: 0.0380 memory: 8322 grad_norm: 4.7998 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0495 loss: 1.0495 2022/08/01 09:09:38 - mmengine - INFO - Epoch(train) [87][360/940] lr: 1.0000e-04 eta: 2:19:06 time: 0.6516 data_time: 0.0343 memory: 8322 grad_norm: 4.9011 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9405 loss: 0.9405 2022/08/01 09:09:50 - mmengine - INFO - Epoch(train) [87][380/940] lr: 1.0000e-04 eta: 2:18:53 time: 0.6047 data_time: 0.1342 memory: 8322 grad_norm: 4.8183 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0521 loss: 1.0521 2022/08/01 09:10:04 - mmengine - INFO - Epoch(train) [87][400/940] lr: 1.0000e-04 eta: 2:18:40 time: 0.6885 data_time: 0.0824 memory: 8322 grad_norm: 4.7933 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0396 loss: 1.0396 2022/08/01 09:10:15 - mmengine - INFO - Epoch(train) [87][420/940] lr: 1.0000e-04 eta: 2:18:27 time: 0.5539 data_time: 0.0701 memory: 8322 grad_norm: 4.7789 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0726 loss: 1.0726 2022/08/01 09:10:28 - mmengine - INFO - Epoch(train) [87][440/940] lr: 1.0000e-04 eta: 2:18:14 time: 0.6808 data_time: 0.1295 memory: 8322 grad_norm: 4.8598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0569 loss: 1.0569 2022/08/01 09:10:41 - mmengine - INFO - Epoch(train) [87][460/940] lr: 1.0000e-04 eta: 2:18:01 time: 0.6503 data_time: 0.0395 memory: 8322 grad_norm: 4.7419 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9522 loss: 0.9522 2022/08/01 09:10:53 - mmengine - INFO - Epoch(train) [87][480/940] lr: 1.0000e-04 eta: 2:17:47 time: 0.5840 data_time: 0.0311 memory: 8322 grad_norm: 4.9290 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/08/01 09:11:08 - mmengine - INFO - Epoch(train) [87][500/940] lr: 1.0000e-04 eta: 2:17:34 time: 0.7150 data_time: 0.1342 memory: 8322 grad_norm: 4.7426 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0088 loss: 1.0088 2022/08/01 09:11:20 - mmengine - INFO - Epoch(train) [87][520/940] lr: 1.0000e-04 eta: 2:17:21 time: 0.6216 data_time: 0.1523 memory: 8322 grad_norm: 4.7252 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1118 loss: 1.1118 2022/08/01 09:11:32 - mmengine - INFO - Epoch(train) [87][540/940] lr: 1.0000e-04 eta: 2:17:08 time: 0.6347 data_time: 0.1144 memory: 8322 grad_norm: 4.7678 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0173 loss: 1.0173 2022/08/01 09:11:46 - mmengine - INFO - Epoch(train) [87][560/940] lr: 1.0000e-04 eta: 2:16:55 time: 0.6672 data_time: 0.1680 memory: 8322 grad_norm: 4.9008 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0861 loss: 1.0861 2022/08/01 09:11:58 - mmengine - INFO - Epoch(train) [87][580/940] lr: 1.0000e-04 eta: 2:16:42 time: 0.6282 data_time: 0.0725 memory: 8322 grad_norm: 4.8737 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0129 loss: 1.0129 2022/08/01 09:12:11 - mmengine - INFO - Epoch(train) [87][600/940] lr: 1.0000e-04 eta: 2:16:29 time: 0.6391 data_time: 0.0653 memory: 8322 grad_norm: 4.7604 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1436 loss: 1.1436 2022/08/01 09:12:24 - mmengine - INFO - Epoch(train) [87][620/940] lr: 1.0000e-04 eta: 2:16:16 time: 0.6354 data_time: 0.0588 memory: 8322 grad_norm: 4.7595 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0863 loss: 1.0863 2022/08/01 09:12:37 - mmengine - INFO - Epoch(train) [87][640/940] lr: 1.0000e-04 eta: 2:16:03 time: 0.6559 data_time: 0.0471 memory: 8322 grad_norm: 4.7402 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0693 loss: 1.0693 2022/08/01 09:12:50 - mmengine - INFO - Epoch(train) [87][660/940] lr: 1.0000e-04 eta: 2:15:50 time: 0.6419 data_time: 0.0347 memory: 8322 grad_norm: 4.8599 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8903 loss: 0.8903 2022/08/01 09:13:02 - mmengine - INFO - Epoch(train) [87][680/940] lr: 1.0000e-04 eta: 2:15:37 time: 0.5888 data_time: 0.0352 memory: 8322 grad_norm: 4.8180 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9949 loss: 0.9949 2022/08/01 09:13:17 - mmengine - INFO - Epoch(train) [87][700/940] lr: 1.0000e-04 eta: 2:15:24 time: 0.7539 data_time: 0.0367 memory: 8322 grad_norm: 4.8650 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0752 loss: 1.0752 2022/08/01 09:13:28 - mmengine - INFO - Epoch(train) [87][720/940] lr: 1.0000e-04 eta: 2:15:11 time: 0.5519 data_time: 0.0350 memory: 8322 grad_norm: 4.7705 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9526 loss: 0.9526 2022/08/01 09:13:41 - mmengine - INFO - Epoch(train) [87][740/940] lr: 1.0000e-04 eta: 2:14:57 time: 0.6452 data_time: 0.0380 memory: 8322 grad_norm: 4.7549 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0590 loss: 1.0590 2022/08/01 09:13:54 - mmengine - INFO - Epoch(train) [87][760/940] lr: 1.0000e-04 eta: 2:14:44 time: 0.6692 data_time: 0.0339 memory: 8322 grad_norm: 4.7863 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0630 loss: 1.0630 2022/08/01 09:14:06 - mmengine - INFO - Epoch(train) [87][780/940] lr: 1.0000e-04 eta: 2:14:31 time: 0.6160 data_time: 0.0546 memory: 8322 grad_norm: 4.8359 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9967 loss: 0.9967 2022/08/01 09:14:21 - mmengine - INFO - Epoch(train) [87][800/940] lr: 1.0000e-04 eta: 2:14:18 time: 0.7059 data_time: 0.0867 memory: 8322 grad_norm: 4.6690 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9881 loss: 0.9881 2022/08/01 09:14:31 - mmengine - INFO - Epoch(train) [87][820/940] lr: 1.0000e-04 eta: 2:14:05 time: 0.5405 data_time: 0.0618 memory: 8322 grad_norm: 4.7329 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9184 loss: 0.9184 2022/08/01 09:14:46 - mmengine - INFO - Epoch(train) [87][840/940] lr: 1.0000e-04 eta: 2:13:52 time: 0.7121 data_time: 0.1086 memory: 8322 grad_norm: 4.8103 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0664 loss: 1.0664 2022/08/01 09:14:57 - mmengine - INFO - Epoch(train) [87][860/940] lr: 1.0000e-04 eta: 2:13:39 time: 0.5916 data_time: 0.0329 memory: 8322 grad_norm: 4.7525 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0971 loss: 1.0971 2022/08/01 09:15:12 - mmengine - INFO - Epoch(train) [87][880/940] lr: 1.0000e-04 eta: 2:13:26 time: 0.7147 data_time: 0.0395 memory: 8322 grad_norm: 4.7862 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9581 loss: 0.9581 2022/08/01 09:15:24 - mmengine - INFO - Epoch(train) [87][900/940] lr: 1.0000e-04 eta: 2:13:13 time: 0.5939 data_time: 0.0337 memory: 8322 grad_norm: 4.8081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9402 loss: 0.9402 2022/08/01 09:15:38 - mmengine - INFO - Epoch(train) [87][920/940] lr: 1.0000e-04 eta: 2:13:00 time: 0.7325 data_time: 0.0366 memory: 8322 grad_norm: 4.8109 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.1256 loss: 1.1256 2022/08/01 09:15:48 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:15:48 - mmengine - INFO - Epoch(train) [87][940/940] lr: 1.0000e-04 eta: 2:12:47 time: 0.4779 data_time: 0.0258 memory: 8322 grad_norm: 5.0927 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9884 loss: 0.9884 2022/08/01 09:15:48 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/08/01 09:16:04 - mmengine - INFO - Epoch(val) [87][20/78] eta: 0:00:39 time: 0.6771 data_time: 0.6156 memory: 1463 2022/08/01 09:16:12 - mmengine - INFO - Epoch(val) [87][40/78] eta: 0:00:16 time: 0.4346 data_time: 0.3701 memory: 1463 2022/08/01 09:16:25 - mmengine - INFO - Epoch(val) [87][60/78] eta: 0:00:11 time: 0.6485 data_time: 0.5856 memory: 1463 2022/08/01 09:16:35 - mmengine - INFO - Epoch(val) [87][78/78] acc/top1: 0.6915 acc/top5: 0.8843 acc/mean1: 0.6914 2022/08/01 09:16:52 - mmengine - INFO - Epoch(train) [88][20/940] lr: 1.0000e-04 eta: 2:12:34 time: 0.8433 data_time: 0.4368 memory: 8322 grad_norm: 4.6651 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8613 loss: 0.8613 2022/08/01 09:17:03 - mmengine - INFO - Epoch(train) [88][40/940] lr: 1.0000e-04 eta: 2:12:21 time: 0.5514 data_time: 0.1799 memory: 8322 grad_norm: 4.7214 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9965 loss: 0.9965 2022/08/01 09:17:18 - mmengine - INFO - Epoch(train) [88][60/940] lr: 1.0000e-04 eta: 2:12:08 time: 0.7228 data_time: 0.1616 memory: 8322 grad_norm: 4.8007 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0740 loss: 1.0740 2022/08/01 09:17:29 - mmengine - INFO - Epoch(train) [88][80/940] lr: 1.0000e-04 eta: 2:11:55 time: 0.5781 data_time: 0.0689 memory: 8322 grad_norm: 4.8458 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0083 loss: 1.0083 2022/08/01 09:17:44 - mmengine - INFO - Epoch(train) [88][100/940] lr: 1.0000e-04 eta: 2:11:42 time: 0.7481 data_time: 0.0846 memory: 8322 grad_norm: 4.7760 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9920 loss: 0.9920 2022/08/01 09:17:56 - mmengine - INFO - Epoch(train) [88][120/940] lr: 1.0000e-04 eta: 2:11:29 time: 0.5841 data_time: 0.0559 memory: 8322 grad_norm: 4.7547 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0603 loss: 1.0603 2022/08/01 09:18:11 - mmengine - INFO - Epoch(train) [88][140/940] lr: 1.0000e-04 eta: 2:11:16 time: 0.7545 data_time: 0.0346 memory: 8322 grad_norm: 4.8760 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9602 loss: 0.9602 2022/08/01 09:18:22 - mmengine - INFO - Epoch(train) [88][160/940] lr: 1.0000e-04 eta: 2:11:03 time: 0.5488 data_time: 0.0584 memory: 8322 grad_norm: 4.8033 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0667 loss: 1.0667 2022/08/01 09:18:36 - mmengine - INFO - Epoch(train) [88][180/940] lr: 1.0000e-04 eta: 2:10:50 time: 0.7040 data_time: 0.0650 memory: 8322 grad_norm: 4.8428 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9519 loss: 0.9519 2022/08/01 09:18:48 - mmengine - INFO - Epoch(train) [88][200/940] lr: 1.0000e-04 eta: 2:10:37 time: 0.6076 data_time: 0.0361 memory: 8322 grad_norm: 4.8052 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1047 loss: 1.1047 2022/08/01 09:19:02 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:19:02 - mmengine - INFO - Epoch(train) [88][220/940] lr: 1.0000e-04 eta: 2:10:24 time: 0.6760 data_time: 0.0332 memory: 8322 grad_norm: 4.8218 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9913 loss: 0.9913 2022/08/01 09:19:13 - mmengine - INFO - Epoch(train) [88][240/940] lr: 1.0000e-04 eta: 2:10:10 time: 0.5706 data_time: 0.0426 memory: 8322 grad_norm: 4.8400 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1284 loss: 1.1284 2022/08/01 09:19:28 - mmengine - INFO - Epoch(train) [88][260/940] lr: 1.0000e-04 eta: 2:09:58 time: 0.7461 data_time: 0.0327 memory: 8322 grad_norm: 4.7910 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0630 loss: 1.0630 2022/08/01 09:19:40 - mmengine - INFO - Epoch(train) [88][280/940] lr: 1.0000e-04 eta: 2:09:44 time: 0.5993 data_time: 0.0332 memory: 8322 grad_norm: 4.7895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9267 loss: 0.9267 2022/08/01 09:19:54 - mmengine - INFO - Epoch(train) [88][300/940] lr: 1.0000e-04 eta: 2:09:31 time: 0.6716 data_time: 0.0428 memory: 8322 grad_norm: 4.8632 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9828 loss: 0.9828 2022/08/01 09:20:04 - mmengine - INFO - Epoch(train) [88][320/940] lr: 1.0000e-04 eta: 2:09:18 time: 0.5230 data_time: 0.0333 memory: 8322 grad_norm: 4.8971 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9689 loss: 0.9689 2022/08/01 09:20:19 - mmengine - INFO - Epoch(train) [88][340/940] lr: 1.0000e-04 eta: 2:09:05 time: 0.7597 data_time: 0.0365 memory: 8322 grad_norm: 4.7424 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9836 loss: 0.9836 2022/08/01 09:20:30 - mmengine - INFO - Epoch(train) [88][360/940] lr: 1.0000e-04 eta: 2:08:52 time: 0.5288 data_time: 0.0334 memory: 8322 grad_norm: 4.8591 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.0976 loss: 1.0976 2022/08/01 09:20:47 - mmengine - INFO - Epoch(train) [88][380/940] lr: 1.0000e-04 eta: 2:08:39 time: 0.8753 data_time: 0.0342 memory: 8322 grad_norm: 4.8466 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9827 loss: 0.9827 2022/08/01 09:20:58 - mmengine - INFO - Epoch(train) [88][400/940] lr: 1.0000e-04 eta: 2:08:26 time: 0.5540 data_time: 0.0355 memory: 8322 grad_norm: 4.7708 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0192 loss: 1.0192 2022/08/01 09:21:13 - mmengine - INFO - Epoch(train) [88][420/940] lr: 1.0000e-04 eta: 2:08:13 time: 0.7026 data_time: 0.0359 memory: 8322 grad_norm: 4.7687 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.9772 loss: 0.9772 2022/08/01 09:21:23 - mmengine - INFO - Epoch(train) [88][440/940] lr: 1.0000e-04 eta: 2:08:00 time: 0.5364 data_time: 0.0393 memory: 8322 grad_norm: 4.8094 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0192 loss: 1.0192 2022/08/01 09:21:38 - mmengine - INFO - Epoch(train) [88][460/940] lr: 1.0000e-04 eta: 2:07:47 time: 0.7636 data_time: 0.0328 memory: 8322 grad_norm: 4.8594 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9747 loss: 0.9747 2022/08/01 09:21:50 - mmengine - INFO - Epoch(train) [88][480/940] lr: 1.0000e-04 eta: 2:07:34 time: 0.5616 data_time: 0.0317 memory: 8322 grad_norm: 4.8990 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0049 loss: 1.0049 2022/08/01 09:22:04 - mmengine - INFO - Epoch(train) [88][500/940] lr: 1.0000e-04 eta: 2:07:21 time: 0.7111 data_time: 0.0425 memory: 8322 grad_norm: 4.7494 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9480 loss: 0.9480 2022/08/01 09:22:15 - mmengine - INFO - Epoch(train) [88][520/940] lr: 1.0000e-04 eta: 2:07:08 time: 0.5510 data_time: 0.0358 memory: 8322 grad_norm: 4.8962 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1108 loss: 1.1108 2022/08/01 09:22:30 - mmengine - INFO - Epoch(train) [88][540/940] lr: 1.0000e-04 eta: 2:06:55 time: 0.7553 data_time: 0.0367 memory: 8322 grad_norm: 4.8480 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0331 loss: 1.0331 2022/08/01 09:22:40 - mmengine - INFO - Epoch(train) [88][560/940] lr: 1.0000e-04 eta: 2:06:41 time: 0.5171 data_time: 0.0314 memory: 8322 grad_norm: 4.7379 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9104 loss: 0.9104 2022/08/01 09:22:55 - mmengine - INFO - Epoch(train) [88][580/940] lr: 1.0000e-04 eta: 2:06:29 time: 0.7027 data_time: 0.0362 memory: 8322 grad_norm: 4.9375 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1004 loss: 1.1004 2022/08/01 09:23:05 - mmengine - INFO - Epoch(train) [88][600/940] lr: 1.0000e-04 eta: 2:06:15 time: 0.5445 data_time: 0.0336 memory: 8322 grad_norm: 4.8881 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0289 loss: 1.0289 2022/08/01 09:23:20 - mmengine - INFO - Epoch(train) [88][620/940] lr: 1.0000e-04 eta: 2:06:02 time: 0.7125 data_time: 0.0567 memory: 8322 grad_norm: 4.8292 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0646 loss: 1.0646 2022/08/01 09:23:32 - mmengine - INFO - Epoch(train) [88][640/940] lr: 1.0000e-04 eta: 2:05:49 time: 0.5980 data_time: 0.0948 memory: 8322 grad_norm: 4.7667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8679 loss: 0.8679 2022/08/01 09:23:47 - mmengine - INFO - Epoch(train) [88][660/940] lr: 1.0000e-04 eta: 2:05:36 time: 0.7592 data_time: 0.1553 memory: 8322 grad_norm: 4.9290 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1159 loss: 1.1159 2022/08/01 09:23:58 - mmengine - INFO - Epoch(train) [88][680/940] lr: 1.0000e-04 eta: 2:05:23 time: 0.5654 data_time: 0.1601 memory: 8322 grad_norm: 4.8589 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9427 loss: 0.9427 2022/08/01 09:24:13 - mmengine - INFO - Epoch(train) [88][700/940] lr: 1.0000e-04 eta: 2:05:10 time: 0.7318 data_time: 0.2367 memory: 8322 grad_norm: 4.6595 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0234 loss: 1.0234 2022/08/01 09:24:24 - mmengine - INFO - Epoch(train) [88][720/940] lr: 1.0000e-04 eta: 2:04:57 time: 0.5723 data_time: 0.0426 memory: 8322 grad_norm: 4.7580 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0202 loss: 1.0202 2022/08/01 09:24:39 - mmengine - INFO - Epoch(train) [88][740/940] lr: 1.0000e-04 eta: 2:04:44 time: 0.7308 data_time: 0.1037 memory: 8322 grad_norm: 4.7399 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0399 loss: 1.0399 2022/08/01 09:24:50 - mmengine - INFO - Epoch(train) [88][760/940] lr: 1.0000e-04 eta: 2:04:31 time: 0.5524 data_time: 0.1207 memory: 8322 grad_norm: 4.7890 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8974 loss: 0.8974 2022/08/01 09:25:04 - mmengine - INFO - Epoch(train) [88][780/940] lr: 1.0000e-04 eta: 2:04:18 time: 0.7037 data_time: 0.1228 memory: 8322 grad_norm: 4.8629 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0799 loss: 1.0799 2022/08/01 09:25:15 - mmengine - INFO - Epoch(train) [88][800/940] lr: 1.0000e-04 eta: 2:04:05 time: 0.5576 data_time: 0.0720 memory: 8322 grad_norm: 4.9234 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9948 loss: 0.9948 2022/08/01 09:25:29 - mmengine - INFO - Epoch(train) [88][820/940] lr: 1.0000e-04 eta: 2:03:52 time: 0.7143 data_time: 0.0371 memory: 8322 grad_norm: 4.8718 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0963 loss: 1.0963 2022/08/01 09:25:41 - mmengine - INFO - Epoch(train) [88][840/940] lr: 1.0000e-04 eta: 2:03:39 time: 0.5941 data_time: 0.0262 memory: 8322 grad_norm: 4.7026 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0913 loss: 1.0913 2022/08/01 09:25:56 - mmengine - INFO - Epoch(train) [88][860/940] lr: 1.0000e-04 eta: 2:03:26 time: 0.7351 data_time: 0.0357 memory: 8322 grad_norm: 4.7660 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9966 loss: 0.9966 2022/08/01 09:26:07 - mmengine - INFO - Epoch(train) [88][880/940] lr: 1.0000e-04 eta: 2:03:12 time: 0.5294 data_time: 0.0354 memory: 8322 grad_norm: 4.7528 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.9335 loss: 0.9335 2022/08/01 09:26:21 - mmengine - INFO - Epoch(train) [88][900/940] lr: 1.0000e-04 eta: 2:03:00 time: 0.7164 data_time: 0.0341 memory: 8322 grad_norm: 4.7959 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0226 loss: 1.0226 2022/08/01 09:26:32 - mmengine - INFO - Epoch(train) [88][920/940] lr: 1.0000e-04 eta: 2:02:46 time: 0.5668 data_time: 0.0273 memory: 8322 grad_norm: 4.7690 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0842 loss: 1.0842 2022/08/01 09:26:45 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:26:45 - mmengine - INFO - Epoch(train) [88][940/940] lr: 1.0000e-04 eta: 2:02:33 time: 0.6154 data_time: 0.0744 memory: 8322 grad_norm: 4.9686 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9217 loss: 0.9217 2022/08/01 09:26:58 - mmengine - INFO - Epoch(val) [88][20/78] eta: 0:00:39 time: 0.6848 data_time: 0.6205 memory: 1463 2022/08/01 09:27:07 - mmengine - INFO - Epoch(val) [88][40/78] eta: 0:00:16 time: 0.4267 data_time: 0.3611 memory: 1463 2022/08/01 09:27:20 - mmengine - INFO - Epoch(val) [88][60/78] eta: 0:00:11 time: 0.6325 data_time: 0.5622 memory: 1463 2022/08/01 09:27:31 - mmengine - INFO - Epoch(val) [88][78/78] acc/top1: 0.6919 acc/top5: 0.8834 acc/mean1: 0.6918 2022/08/01 09:27:47 - mmengine - INFO - Epoch(train) [89][20/940] lr: 1.0000e-04 eta: 2:02:21 time: 0.7951 data_time: 0.5187 memory: 8322 grad_norm: 4.7831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0777 loss: 1.0777 2022/08/01 09:27:58 - mmengine - INFO - Epoch(train) [89][40/940] lr: 1.0000e-04 eta: 2:02:07 time: 0.5814 data_time: 0.2760 memory: 8322 grad_norm: 4.7692 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0995 loss: 1.0995 2022/08/01 09:28:12 - mmengine - INFO - Epoch(train) [89][60/940] lr: 1.0000e-04 eta: 2:01:54 time: 0.6929 data_time: 0.2787 memory: 8322 grad_norm: 4.7940 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9852 loss: 0.9852 2022/08/01 09:28:24 - mmengine - INFO - Epoch(train) [89][80/940] lr: 1.0000e-04 eta: 2:01:41 time: 0.5651 data_time: 0.2977 memory: 8322 grad_norm: 4.7031 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9954 loss: 0.9954 2022/08/01 09:28:38 - mmengine - INFO - Epoch(train) [89][100/940] lr: 1.0000e-04 eta: 2:01:28 time: 0.7201 data_time: 0.4776 memory: 8322 grad_norm: 4.8445 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0109 loss: 1.0109 2022/08/01 09:28:49 - mmengine - INFO - Epoch(train) [89][120/940] lr: 1.0000e-04 eta: 2:01:15 time: 0.5555 data_time: 0.2905 memory: 8322 grad_norm: 4.7943 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0541 loss: 1.0541 2022/08/01 09:29:04 - mmengine - INFO - Epoch(train) [89][140/940] lr: 1.0000e-04 eta: 2:01:02 time: 0.7228 data_time: 0.4146 memory: 8322 grad_norm: 4.8859 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9816 loss: 0.9816 2022/08/01 09:29:15 - mmengine - INFO - Epoch(train) [89][160/940] lr: 1.0000e-04 eta: 2:00:49 time: 0.5609 data_time: 0.1232 memory: 8322 grad_norm: 4.7556 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0952 loss: 1.0952 2022/08/01 09:29:30 - mmengine - INFO - Epoch(train) [89][180/940] lr: 1.0000e-04 eta: 2:00:36 time: 0.7465 data_time: 0.0803 memory: 8322 grad_norm: 4.6996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9214 loss: 0.9214 2022/08/01 09:29:41 - mmengine - INFO - Epoch(train) [89][200/940] lr: 1.0000e-04 eta: 2:00:23 time: 0.5569 data_time: 0.0794 memory: 8322 grad_norm: 4.7494 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9892 loss: 0.9892 2022/08/01 09:29:55 - mmengine - INFO - Epoch(train) [89][220/940] lr: 1.0000e-04 eta: 2:00:10 time: 0.7104 data_time: 0.0862 memory: 8322 grad_norm: 4.7596 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1576 loss: 1.1576 2022/08/01 09:30:06 - mmengine - INFO - Epoch(train) [89][240/940] lr: 1.0000e-04 eta: 1:59:56 time: 0.5214 data_time: 0.1885 memory: 8322 grad_norm: 4.6808 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9296 loss: 0.9296 2022/08/01 09:30:21 - mmengine - INFO - Epoch(train) [89][260/940] lr: 1.0000e-04 eta: 1:59:44 time: 0.7501 data_time: 0.3674 memory: 8322 grad_norm: 4.8671 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0739 loss: 1.0739 2022/08/01 09:30:32 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:30:32 - mmengine - INFO - Epoch(train) [89][280/940] lr: 1.0000e-04 eta: 1:59:30 time: 0.5543 data_time: 0.2355 memory: 8322 grad_norm: 4.8104 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9776 loss: 0.9776 2022/08/01 09:30:46 - mmengine - INFO - Epoch(train) [89][300/940] lr: 1.0000e-04 eta: 1:59:18 time: 0.7210 data_time: 0.4277 memory: 8322 grad_norm: 4.7959 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/08/01 09:30:57 - mmengine - INFO - Epoch(train) [89][320/940] lr: 1.0000e-04 eta: 1:59:04 time: 0.5389 data_time: 0.3068 memory: 8322 grad_norm: 4.7895 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0776 loss: 1.0776 2022/08/01 09:31:11 - mmengine - INFO - Epoch(train) [89][340/940] lr: 1.0000e-04 eta: 1:58:51 time: 0.7185 data_time: 0.4864 memory: 8322 grad_norm: 4.8621 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/01 09:31:22 - mmengine - INFO - Epoch(train) [89][360/940] lr: 1.0000e-04 eta: 1:58:38 time: 0.5579 data_time: 0.3441 memory: 8322 grad_norm: 4.8437 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1065 loss: 1.1065 2022/08/01 09:31:37 - mmengine - INFO - Epoch(train) [89][380/940] lr: 1.0000e-04 eta: 1:58:25 time: 0.7449 data_time: 0.5206 memory: 8322 grad_norm: 4.7626 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9178 loss: 0.9178 2022/08/01 09:31:49 - mmengine - INFO - Epoch(train) [89][400/940] lr: 1.0000e-04 eta: 1:58:12 time: 0.5754 data_time: 0.3261 memory: 8322 grad_norm: 4.8120 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9918 loss: 0.9918 2022/08/01 09:32:04 - mmengine - INFO - Epoch(train) [89][420/940] lr: 1.0000e-04 eta: 1:57:59 time: 0.7789 data_time: 0.5765 memory: 8322 grad_norm: 4.8073 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0790 loss: 1.0790 2022/08/01 09:32:16 - mmengine - INFO - Epoch(train) [89][440/940] lr: 1.0000e-04 eta: 1:57:46 time: 0.5820 data_time: 0.3641 memory: 8322 grad_norm: 4.8881 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0406 loss: 1.0406 2022/08/01 09:32:30 - mmengine - INFO - Epoch(train) [89][460/940] lr: 1.0000e-04 eta: 1:57:33 time: 0.6770 data_time: 0.4573 memory: 8322 grad_norm: 4.8485 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1332 loss: 1.1332 2022/08/01 09:32:41 - mmengine - INFO - Epoch(train) [89][480/940] lr: 1.0000e-04 eta: 1:57:20 time: 0.5664 data_time: 0.3437 memory: 8322 grad_norm: 4.7344 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9260 loss: 0.9260 2022/08/01 09:32:54 - mmengine - INFO - Epoch(train) [89][500/940] lr: 1.0000e-04 eta: 1:57:07 time: 0.6654 data_time: 0.4260 memory: 8322 grad_norm: 4.8024 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0633 loss: 1.0633 2022/08/01 09:33:05 - mmengine - INFO - Epoch(train) [89][520/940] lr: 1.0000e-04 eta: 1:56:54 time: 0.5544 data_time: 0.2590 memory: 8322 grad_norm: 4.8002 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0641 loss: 1.0641 2022/08/01 09:33:20 - mmengine - INFO - Epoch(train) [89][540/940] lr: 1.0000e-04 eta: 1:56:41 time: 0.7318 data_time: 0.1618 memory: 8322 grad_norm: 4.8277 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0713 loss: 1.0713 2022/08/01 09:33:32 - mmengine - INFO - Epoch(train) [89][560/940] lr: 1.0000e-04 eta: 1:56:28 time: 0.5828 data_time: 0.1341 memory: 8322 grad_norm: 4.7756 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.9489 loss: 0.9489 2022/08/01 09:33:47 - mmengine - INFO - Epoch(train) [89][580/940] lr: 1.0000e-04 eta: 1:56:15 time: 0.7835 data_time: 0.3199 memory: 8322 grad_norm: 4.9233 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0235 loss: 1.0235 2022/08/01 09:33:58 - mmengine - INFO - Epoch(train) [89][600/940] lr: 1.0000e-04 eta: 1:56:01 time: 0.5166 data_time: 0.1223 memory: 8322 grad_norm: 4.8244 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0563 loss: 1.0563 2022/08/01 09:34:13 - mmengine - INFO - Epoch(train) [89][620/940] lr: 1.0000e-04 eta: 1:55:49 time: 0.7784 data_time: 0.1003 memory: 8322 grad_norm: 4.8860 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9679 loss: 0.9679 2022/08/01 09:34:25 - mmengine - INFO - Epoch(train) [89][640/940] lr: 1.0000e-04 eta: 1:55:35 time: 0.5649 data_time: 0.0336 memory: 8322 grad_norm: 4.8848 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0192 loss: 1.0192 2022/08/01 09:34:39 - mmengine - INFO - Epoch(train) [89][660/940] lr: 1.0000e-04 eta: 1:55:23 time: 0.7372 data_time: 0.0468 memory: 8322 grad_norm: 4.8974 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0356 loss: 1.0356 2022/08/01 09:34:51 - mmengine - INFO - Epoch(train) [89][680/940] lr: 1.0000e-04 eta: 1:55:09 time: 0.5660 data_time: 0.0409 memory: 8322 grad_norm: 4.8655 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0391 loss: 1.0391 2022/08/01 09:35:04 - mmengine - INFO - Epoch(train) [89][700/940] lr: 1.0000e-04 eta: 1:54:56 time: 0.6793 data_time: 0.0363 memory: 8322 grad_norm: 4.8279 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9080 loss: 0.9080 2022/08/01 09:35:15 - mmengine - INFO - Epoch(train) [89][720/940] lr: 1.0000e-04 eta: 1:54:43 time: 0.5331 data_time: 0.0514 memory: 8322 grad_norm: 4.7927 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0632 loss: 1.0632 2022/08/01 09:35:29 - mmengine - INFO - Epoch(train) [89][740/940] lr: 1.0000e-04 eta: 1:54:30 time: 0.7217 data_time: 0.0367 memory: 8322 grad_norm: 4.8628 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9545 loss: 0.9545 2022/08/01 09:35:40 - mmengine - INFO - Epoch(train) [89][760/940] lr: 1.0000e-04 eta: 1:54:17 time: 0.5365 data_time: 0.0344 memory: 8322 grad_norm: 4.6892 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/08/01 09:35:55 - mmengine - INFO - Epoch(train) [89][780/940] lr: 1.0000e-04 eta: 1:54:04 time: 0.7549 data_time: 0.0632 memory: 8322 grad_norm: 4.8541 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0521 loss: 1.0521 2022/08/01 09:36:07 - mmengine - INFO - Epoch(train) [89][800/940] lr: 1.0000e-04 eta: 1:53:51 time: 0.5999 data_time: 0.0625 memory: 8322 grad_norm: 4.9608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1957 loss: 1.1957 2022/08/01 09:36:21 - mmengine - INFO - Epoch(train) [89][820/940] lr: 1.0000e-04 eta: 1:53:38 time: 0.6978 data_time: 0.0359 memory: 8322 grad_norm: 4.7635 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9599 loss: 0.9599 2022/08/01 09:36:32 - mmengine - INFO - Epoch(train) [89][840/940] lr: 1.0000e-04 eta: 1:53:25 time: 0.5606 data_time: 0.1026 memory: 8322 grad_norm: 4.7413 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0628 loss: 1.0628 2022/08/01 09:36:46 - mmengine - INFO - Epoch(train) [89][860/940] lr: 1.0000e-04 eta: 1:53:12 time: 0.6649 data_time: 0.0700 memory: 8322 grad_norm: 4.8100 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0316 loss: 1.0316 2022/08/01 09:36:58 - mmengine - INFO - Epoch(train) [89][880/940] lr: 1.0000e-04 eta: 1:52:59 time: 0.6187 data_time: 0.1054 memory: 8322 grad_norm: 4.8786 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0084 loss: 1.0084 2022/08/01 09:37:12 - mmengine - INFO - Epoch(train) [89][900/940] lr: 1.0000e-04 eta: 1:52:46 time: 0.7091 data_time: 0.1656 memory: 8322 grad_norm: 4.7381 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9991 loss: 0.9991 2022/08/01 09:37:24 - mmengine - INFO - Epoch(train) [89][920/940] lr: 1.0000e-04 eta: 1:52:33 time: 0.5839 data_time: 0.1844 memory: 8322 grad_norm: 4.7382 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9691 loss: 0.9691 2022/08/01 09:37:35 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:37:35 - mmengine - INFO - Epoch(train) [89][940/940] lr: 1.0000e-04 eta: 1:52:19 time: 0.5621 data_time: 0.1840 memory: 8322 grad_norm: 5.1516 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9968 loss: 0.9968 2022/08/01 09:37:49 - mmengine - INFO - Epoch(val) [89][20/78] eta: 0:00:39 time: 0.6837 data_time: 0.6170 memory: 1463 2022/08/01 09:37:57 - mmengine - INFO - Epoch(val) [89][40/78] eta: 0:00:16 time: 0.4274 data_time: 0.3627 memory: 1463 2022/08/01 09:38:10 - mmengine - INFO - Epoch(val) [89][60/78] eta: 0:00:11 time: 0.6414 data_time: 0.5781 memory: 1463 2022/08/01 09:38:21 - mmengine - INFO - Epoch(val) [89][78/78] acc/top1: 0.6916 acc/top5: 0.8839 acc/mean1: 0.6914 2022/08/01 09:38:37 - mmengine - INFO - Epoch(train) [90][20/940] lr: 1.0000e-04 eta: 1:52:07 time: 0.8321 data_time: 0.5723 memory: 8322 grad_norm: 4.8511 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0673 loss: 1.0673 2022/08/01 09:38:49 - mmengine - INFO - Epoch(train) [90][40/940] lr: 1.0000e-04 eta: 1:51:53 time: 0.5596 data_time: 0.2707 memory: 8322 grad_norm: 4.8020 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9543 loss: 0.9543 2022/08/01 09:39:04 - mmengine - INFO - Epoch(train) [90][60/940] lr: 1.0000e-04 eta: 1:51:41 time: 0.7582 data_time: 0.3154 memory: 8322 grad_norm: 4.9034 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0919 loss: 1.0919 2022/08/01 09:39:15 - mmengine - INFO - Epoch(train) [90][80/940] lr: 1.0000e-04 eta: 1:51:27 time: 0.5600 data_time: 0.1350 memory: 8322 grad_norm: 4.7942 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0499 loss: 1.0499 2022/08/01 09:39:29 - mmengine - INFO - Epoch(train) [90][100/940] lr: 1.0000e-04 eta: 1:51:14 time: 0.6777 data_time: 0.2764 memory: 8322 grad_norm: 4.7638 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9864 loss: 0.9864 2022/08/01 09:39:39 - mmengine - INFO - Epoch(train) [90][120/940] lr: 1.0000e-04 eta: 1:51:01 time: 0.5461 data_time: 0.2429 memory: 8322 grad_norm: 4.8217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0749 loss: 1.0749 2022/08/01 09:39:54 - mmengine - INFO - Epoch(train) [90][140/940] lr: 1.0000e-04 eta: 1:50:48 time: 0.7151 data_time: 0.4722 memory: 8322 grad_norm: 4.7807 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.0742 loss: 1.0742 2022/08/01 09:40:05 - mmengine - INFO - Epoch(train) [90][160/940] lr: 1.0000e-04 eta: 1:50:35 time: 0.5618 data_time: 0.2992 memory: 8322 grad_norm: 4.8584 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0239 loss: 1.0239 2022/08/01 09:40:20 - mmengine - INFO - Epoch(train) [90][180/940] lr: 1.0000e-04 eta: 1:50:22 time: 0.7414 data_time: 0.3274 memory: 8322 grad_norm: 4.8098 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1424 loss: 1.1424 2022/08/01 09:40:31 - mmengine - INFO - Epoch(train) [90][200/940] lr: 1.0000e-04 eta: 1:50:09 time: 0.5344 data_time: 0.1787 memory: 8322 grad_norm: 4.8102 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0259 loss: 1.0259 2022/08/01 09:40:45 - mmengine - INFO - Epoch(train) [90][220/940] lr: 1.0000e-04 eta: 1:49:56 time: 0.7370 data_time: 0.3102 memory: 8322 grad_norm: 4.8315 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0092 loss: 1.0092 2022/08/01 09:40:56 - mmengine - INFO - Epoch(train) [90][240/940] lr: 1.0000e-04 eta: 1:49:43 time: 0.5394 data_time: 0.2294 memory: 8322 grad_norm: 4.7505 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0023 loss: 1.0023 2022/08/01 09:41:11 - mmengine - INFO - Epoch(train) [90][260/940] lr: 1.0000e-04 eta: 1:49:30 time: 0.7299 data_time: 0.3757 memory: 8322 grad_norm: 4.7543 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.0022 loss: 1.0022 2022/08/01 09:41:22 - mmengine - INFO - Epoch(train) [90][280/940] lr: 1.0000e-04 eta: 1:49:17 time: 0.5811 data_time: 0.2703 memory: 8322 grad_norm: 4.8367 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1096 loss: 1.1096 2022/08/01 09:41:36 - mmengine - INFO - Epoch(train) [90][300/940] lr: 1.0000e-04 eta: 1:49:04 time: 0.6945 data_time: 0.2802 memory: 8322 grad_norm: 4.7834 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0119 loss: 1.0119 2022/08/01 09:41:48 - mmengine - INFO - Epoch(train) [90][320/940] lr: 1.0000e-04 eta: 1:48:51 time: 0.6032 data_time: 0.2304 memory: 8322 grad_norm: 4.8812 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0654 loss: 1.0654 2022/08/01 09:42:02 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:42:02 - mmengine - INFO - Epoch(train) [90][340/940] lr: 1.0000e-04 eta: 1:48:38 time: 0.7013 data_time: 0.2720 memory: 8322 grad_norm: 4.7839 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0098 loss: 1.0098 2022/08/01 09:42:13 - mmengine - INFO - Epoch(train) [90][360/940] lr: 1.0000e-04 eta: 1:48:24 time: 0.5488 data_time: 0.1681 memory: 8322 grad_norm: 4.8391 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0239 loss: 1.0239 2022/08/01 09:42:27 - mmengine - INFO - Epoch(train) [90][380/940] lr: 1.0000e-04 eta: 1:48:11 time: 0.6954 data_time: 0.1763 memory: 8322 grad_norm: 4.7929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/08/01 09:42:40 - mmengine - INFO - Epoch(train) [90][400/940] lr: 1.0000e-04 eta: 1:47:58 time: 0.6212 data_time: 0.1616 memory: 8322 grad_norm: 4.8836 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0373 loss: 1.0373 2022/08/01 09:42:54 - mmengine - INFO - Epoch(train) [90][420/940] lr: 1.0000e-04 eta: 1:47:45 time: 0.6979 data_time: 0.0813 memory: 8322 grad_norm: 4.7898 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9265 loss: 0.9265 2022/08/01 09:43:05 - mmengine - INFO - Epoch(train) [90][440/940] lr: 1.0000e-04 eta: 1:47:32 time: 0.5695 data_time: 0.0573 memory: 8322 grad_norm: 4.8951 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0856 loss: 1.0856 2022/08/01 09:43:22 - mmengine - INFO - Epoch(train) [90][460/940] lr: 1.0000e-04 eta: 1:47:20 time: 0.8289 data_time: 0.0580 memory: 8322 grad_norm: 4.8237 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9486 loss: 0.9486 2022/08/01 09:43:31 - mmengine - INFO - Epoch(train) [90][480/940] lr: 1.0000e-04 eta: 1:47:06 time: 0.4501 data_time: 0.0307 memory: 8322 grad_norm: 4.8119 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9178 loss: 0.9178 2022/08/01 09:43:45 - mmengine - INFO - Epoch(train) [90][500/940] lr: 1.0000e-04 eta: 1:46:53 time: 0.7195 data_time: 0.0409 memory: 8322 grad_norm: 4.9740 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0718 loss: 1.0718 2022/08/01 09:43:56 - mmengine - INFO - Epoch(train) [90][520/940] lr: 1.0000e-04 eta: 1:46:40 time: 0.5637 data_time: 0.0324 memory: 8322 grad_norm: 4.7757 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0083 loss: 1.0083 2022/08/01 09:44:10 - mmengine - INFO - Epoch(train) [90][540/940] lr: 1.0000e-04 eta: 1:46:27 time: 0.6690 data_time: 0.1050 memory: 8322 grad_norm: 4.7927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8924 loss: 0.8924 2022/08/01 09:44:22 - mmengine - INFO - Epoch(train) [90][560/940] lr: 1.0000e-04 eta: 1:46:14 time: 0.5880 data_time: 0.0484 memory: 8322 grad_norm: 4.8281 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0199 loss: 1.0199 2022/08/01 09:44:35 - mmengine - INFO - Epoch(train) [90][580/940] lr: 1.0000e-04 eta: 1:46:01 time: 0.6817 data_time: 0.0550 memory: 8322 grad_norm: 4.7787 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0084 loss: 1.0084 2022/08/01 09:44:48 - mmengine - INFO - Epoch(train) [90][600/940] lr: 1.0000e-04 eta: 1:45:48 time: 0.6227 data_time: 0.0470 memory: 8322 grad_norm: 4.7532 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0479 loss: 1.0479 2022/08/01 09:45:02 - mmengine - INFO - Epoch(train) [90][620/940] lr: 1.0000e-04 eta: 1:45:35 time: 0.7213 data_time: 0.0889 memory: 8322 grad_norm: 4.7522 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9839 loss: 0.9839 2022/08/01 09:45:14 - mmengine - INFO - Epoch(train) [90][640/940] lr: 1.0000e-04 eta: 1:45:22 time: 0.6016 data_time: 0.0463 memory: 8322 grad_norm: 4.7580 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0876 loss: 1.0876 2022/08/01 09:45:28 - mmengine - INFO - Epoch(train) [90][660/940] lr: 1.0000e-04 eta: 1:45:09 time: 0.7038 data_time: 0.0524 memory: 8322 grad_norm: 4.8323 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0975 loss: 1.0975 2022/08/01 09:45:40 - mmengine - INFO - Epoch(train) [90][680/940] lr: 1.0000e-04 eta: 1:44:56 time: 0.6134 data_time: 0.0306 memory: 8322 grad_norm: 4.7494 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0177 loss: 1.0177 2022/08/01 09:45:54 - mmengine - INFO - Epoch(train) [90][700/940] lr: 1.0000e-04 eta: 1:44:43 time: 0.6631 data_time: 0.0400 memory: 8322 grad_norm: 4.8189 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0548 loss: 1.0548 2022/08/01 09:46:05 - mmengine - INFO - Epoch(train) [90][720/940] lr: 1.0000e-04 eta: 1:44:29 time: 0.5832 data_time: 0.0333 memory: 8322 grad_norm: 4.7321 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0727 loss: 1.0727 2022/08/01 09:46:20 - mmengine - INFO - Epoch(train) [90][740/940] lr: 1.0000e-04 eta: 1:44:17 time: 0.7168 data_time: 0.0690 memory: 8322 grad_norm: 4.8459 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0484 loss: 1.0484 2022/08/01 09:46:32 - mmengine - INFO - Epoch(train) [90][760/940] lr: 1.0000e-04 eta: 1:44:03 time: 0.5882 data_time: 0.0339 memory: 8322 grad_norm: 4.7445 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0478 loss: 1.0478 2022/08/01 09:46:45 - mmengine - INFO - Epoch(train) [90][780/940] lr: 1.0000e-04 eta: 1:43:50 time: 0.6607 data_time: 0.1196 memory: 8322 grad_norm: 4.7450 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9533 loss: 0.9533 2022/08/01 09:46:57 - mmengine - INFO - Epoch(train) [90][800/940] lr: 1.0000e-04 eta: 1:43:37 time: 0.6354 data_time: 0.0454 memory: 8322 grad_norm: 4.8775 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.0145 loss: 1.0145 2022/08/01 09:47:10 - mmengine - INFO - Epoch(train) [90][820/940] lr: 1.0000e-04 eta: 1:43:24 time: 0.6484 data_time: 0.0428 memory: 8322 grad_norm: 4.7981 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/08/01 09:47:23 - mmengine - INFO - Epoch(train) [90][840/940] lr: 1.0000e-04 eta: 1:43:11 time: 0.6496 data_time: 0.0370 memory: 8322 grad_norm: 4.6787 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9373 loss: 0.9373 2022/08/01 09:47:36 - mmengine - INFO - Epoch(train) [90][860/940] lr: 1.0000e-04 eta: 1:42:58 time: 0.6123 data_time: 0.0358 memory: 8322 grad_norm: 4.8821 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0008 loss: 1.0008 2022/08/01 09:47:50 - mmengine - INFO - Epoch(train) [90][880/940] lr: 1.0000e-04 eta: 1:42:45 time: 0.6931 data_time: 0.0296 memory: 8322 grad_norm: 4.8365 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0102 loss: 1.0102 2022/08/01 09:48:02 - mmengine - INFO - Epoch(train) [90][900/940] lr: 1.0000e-04 eta: 1:42:32 time: 0.5995 data_time: 0.0747 memory: 8322 grad_norm: 4.7424 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0307 loss: 1.0307 2022/08/01 09:48:16 - mmengine - INFO - Epoch(train) [90][920/940] lr: 1.0000e-04 eta: 1:42:19 time: 0.7086 data_time: 0.0329 memory: 8322 grad_norm: 4.8944 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0310 loss: 1.0310 2022/08/01 09:48:26 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:48:26 - mmengine - INFO - Epoch(train) [90][940/940] lr: 1.0000e-04 eta: 1:42:06 time: 0.4947 data_time: 0.0276 memory: 8322 grad_norm: 5.1499 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0388 loss: 1.0388 2022/08/01 09:48:26 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/08/01 09:48:41 - mmengine - INFO - Epoch(val) [90][20/78] eta: 0:00:39 time: 0.6757 data_time: 0.6129 memory: 1463 2022/08/01 09:48:50 - mmengine - INFO - Epoch(val) [90][40/78] eta: 0:00:16 time: 0.4396 data_time: 0.3767 memory: 1463 2022/08/01 09:49:03 - mmengine - INFO - Epoch(val) [90][60/78] eta: 0:00:11 time: 0.6452 data_time: 0.5721 memory: 1463 2022/08/01 09:49:13 - mmengine - INFO - Epoch(val) [90][78/78] acc/top1: 0.6935 acc/top5: 0.8845 acc/mean1: 0.6933 2022/08/01 09:49:13 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_r50_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_83.pth is removed 2022/08/01 09:49:14 - mmengine - INFO - The best checkpoint with 0.6935 acc/top1 at 91 epoch is saved to best_acc/top1_epoch_91.pth. 2022/08/01 09:49:30 - mmengine - INFO - Epoch(train) [91][20/940] lr: 1.0000e-04 eta: 1:41:53 time: 0.7704 data_time: 0.5399 memory: 8322 grad_norm: 4.9127 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.1592 loss: 1.1592 2022/08/01 09:49:40 - mmengine - INFO - Epoch(train) [91][40/940] lr: 1.0000e-04 eta: 1:41:40 time: 0.5419 data_time: 0.2307 memory: 8322 grad_norm: 4.8616 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0481 loss: 1.0481 2022/08/01 09:49:55 - mmengine - INFO - Epoch(train) [91][60/940] lr: 1.0000e-04 eta: 1:41:27 time: 0.7431 data_time: 0.2686 memory: 8322 grad_norm: 4.7893 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9271 loss: 0.9271 2022/08/01 09:50:06 - mmengine - INFO - Epoch(train) [91][80/940] lr: 1.0000e-04 eta: 1:41:14 time: 0.5519 data_time: 0.0950 memory: 8322 grad_norm: 4.8456 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0869 loss: 1.0869 2022/08/01 09:50:22 - mmengine - INFO - Epoch(train) [91][100/940] lr: 1.0000e-04 eta: 1:41:01 time: 0.7640 data_time: 0.3044 memory: 8322 grad_norm: 4.8987 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0136 loss: 1.0136 2022/08/01 09:50:33 - mmengine - INFO - Epoch(train) [91][120/940] lr: 1.0000e-04 eta: 1:40:48 time: 0.5656 data_time: 0.1948 memory: 8322 grad_norm: 4.9069 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0478 loss: 1.0478 2022/08/01 09:50:48 - mmengine - INFO - Epoch(train) [91][140/940] lr: 1.0000e-04 eta: 1:40:35 time: 0.7529 data_time: 0.1937 memory: 8322 grad_norm: 4.9277 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0318 loss: 1.0318 2022/08/01 09:50:59 - mmengine - INFO - Epoch(train) [91][160/940] lr: 1.0000e-04 eta: 1:40:21 time: 0.5317 data_time: 0.0664 memory: 8322 grad_norm: 4.7649 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0328 loss: 1.0328 2022/08/01 09:51:14 - mmengine - INFO - Epoch(train) [91][180/940] lr: 1.0000e-04 eta: 1:40:09 time: 0.7539 data_time: 0.0878 memory: 8322 grad_norm: 4.9181 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/08/01 09:51:25 - mmengine - INFO - Epoch(train) [91][200/940] lr: 1.0000e-04 eta: 1:39:55 time: 0.5716 data_time: 0.0482 memory: 8322 grad_norm: 4.8625 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0226 loss: 1.0226 2022/08/01 09:51:40 - mmengine - INFO - Epoch(train) [91][220/940] lr: 1.0000e-04 eta: 1:39:43 time: 0.7289 data_time: 0.0343 memory: 8322 grad_norm: 4.8410 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0681 loss: 1.0681 2022/08/01 09:51:52 - mmengine - INFO - Epoch(train) [91][240/940] lr: 1.0000e-04 eta: 1:39:29 time: 0.5973 data_time: 0.0289 memory: 8322 grad_norm: 4.8199 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0059 loss: 1.0059 2022/08/01 09:52:06 - mmengine - INFO - Epoch(train) [91][260/940] lr: 1.0000e-04 eta: 1:39:16 time: 0.7143 data_time: 0.0341 memory: 8322 grad_norm: 4.6986 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9472 loss: 0.9472 2022/08/01 09:52:17 - mmengine - INFO - Epoch(train) [91][280/940] lr: 1.0000e-04 eta: 1:39:03 time: 0.5698 data_time: 0.0364 memory: 8322 grad_norm: 4.8915 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9382 loss: 0.9382 2022/08/01 09:52:32 - mmengine - INFO - Epoch(train) [91][300/940] lr: 1.0000e-04 eta: 1:38:50 time: 0.7083 data_time: 0.0366 memory: 8322 grad_norm: 4.8037 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0257 loss: 1.0257 2022/08/01 09:52:44 - mmengine - INFO - Epoch(train) [91][320/940] lr: 1.0000e-04 eta: 1:38:37 time: 0.6129 data_time: 0.0357 memory: 8322 grad_norm: 4.8747 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0888 loss: 1.0888 2022/08/01 09:52:57 - mmengine - INFO - Epoch(train) [91][340/940] lr: 1.0000e-04 eta: 1:38:24 time: 0.6447 data_time: 0.0367 memory: 8322 grad_norm: 4.9702 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0425 loss: 1.0425 2022/08/01 09:53:08 - mmengine - INFO - Epoch(train) [91][360/940] lr: 1.0000e-04 eta: 1:38:11 time: 0.5421 data_time: 0.0344 memory: 8322 grad_norm: 4.6818 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/08/01 09:53:22 - mmengine - INFO - Epoch(train) [91][380/940] lr: 1.0000e-04 eta: 1:37:58 time: 0.6986 data_time: 0.0391 memory: 8322 grad_norm: 4.7962 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0120 loss: 1.0120 2022/08/01 09:53:34 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:53:34 - mmengine - INFO - Epoch(train) [91][400/940] lr: 1.0000e-04 eta: 1:37:45 time: 0.6334 data_time: 0.0313 memory: 8322 grad_norm: 4.8195 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0361 loss: 1.0361 2022/08/01 09:53:49 - mmengine - INFO - Epoch(train) [91][420/940] lr: 1.0000e-04 eta: 1:37:32 time: 0.7269 data_time: 0.0343 memory: 8322 grad_norm: 4.7945 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9267 loss: 0.9267 2022/08/01 09:54:01 - mmengine - INFO - Epoch(train) [91][440/940] lr: 1.0000e-04 eta: 1:37:19 time: 0.6002 data_time: 0.0539 memory: 8322 grad_norm: 4.8333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/01 09:54:14 - mmengine - INFO - Epoch(train) [91][460/940] lr: 1.0000e-04 eta: 1:37:06 time: 0.6455 data_time: 0.0579 memory: 8322 grad_norm: 4.7405 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0854 loss: 1.0854 2022/08/01 09:54:26 - mmengine - INFO - Epoch(train) [91][480/940] lr: 1.0000e-04 eta: 1:36:53 time: 0.6233 data_time: 0.0382 memory: 8322 grad_norm: 4.8137 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0435 loss: 1.0435 2022/08/01 09:54:39 - mmengine - INFO - Epoch(train) [91][500/940] lr: 1.0000e-04 eta: 1:36:40 time: 0.6588 data_time: 0.0345 memory: 8322 grad_norm: 4.9102 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/08/01 09:54:52 - mmengine - INFO - Epoch(train) [91][520/940] lr: 1.0000e-04 eta: 1:36:27 time: 0.6304 data_time: 0.0516 memory: 8322 grad_norm: 4.7412 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0204 loss: 1.0204 2022/08/01 09:55:05 - mmengine - INFO - Epoch(train) [91][540/940] lr: 1.0000e-04 eta: 1:36:14 time: 0.6754 data_time: 0.0350 memory: 8322 grad_norm: 4.7864 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1438 loss: 1.1438 2022/08/01 09:55:19 - mmengine - INFO - Epoch(train) [91][560/940] lr: 1.0000e-04 eta: 1:36:01 time: 0.6541 data_time: 0.0347 memory: 8322 grad_norm: 4.8180 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0948 loss: 1.0948 2022/08/01 09:55:31 - mmengine - INFO - Epoch(train) [91][580/940] lr: 1.0000e-04 eta: 1:35:48 time: 0.6362 data_time: 0.0338 memory: 8322 grad_norm: 4.7912 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0026 loss: 1.0026 2022/08/01 09:55:44 - mmengine - INFO - Epoch(train) [91][600/940] lr: 1.0000e-04 eta: 1:35:35 time: 0.6471 data_time: 0.0316 memory: 8322 grad_norm: 4.7811 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9918 loss: 0.9918 2022/08/01 09:55:56 - mmengine - INFO - Epoch(train) [91][620/940] lr: 1.0000e-04 eta: 1:35:21 time: 0.6059 data_time: 0.0324 memory: 8322 grad_norm: 4.7343 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9392 loss: 0.9392 2022/08/01 09:56:10 - mmengine - INFO - Epoch(train) [91][640/940] lr: 1.0000e-04 eta: 1:35:08 time: 0.6641 data_time: 0.0329 memory: 8322 grad_norm: 4.8620 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1154 loss: 1.1154 2022/08/01 09:56:22 - mmengine - INFO - Epoch(train) [91][660/940] lr: 1.0000e-04 eta: 1:34:55 time: 0.6213 data_time: 0.0344 memory: 8322 grad_norm: 4.7923 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9630 loss: 0.9630 2022/08/01 09:56:34 - mmengine - INFO - Epoch(train) [91][680/940] lr: 1.0000e-04 eta: 1:34:42 time: 0.5841 data_time: 0.0361 memory: 8322 grad_norm: 4.8301 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 0.9745 loss: 0.9745 2022/08/01 09:56:48 - mmengine - INFO - Epoch(train) [91][700/940] lr: 1.0000e-04 eta: 1:34:29 time: 0.7159 data_time: 0.0314 memory: 8322 grad_norm: 4.7415 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9360 loss: 0.9360 2022/08/01 09:57:00 - mmengine - INFO - Epoch(train) [91][720/940] lr: 1.0000e-04 eta: 1:34:16 time: 0.5971 data_time: 0.0374 memory: 8322 grad_norm: 4.8185 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0086 loss: 1.0086 2022/08/01 09:57:14 - mmengine - INFO - Epoch(train) [91][740/940] lr: 1.0000e-04 eta: 1:34:03 time: 0.6775 data_time: 0.0330 memory: 8322 grad_norm: 4.7449 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0875 loss: 1.0875 2022/08/01 09:57:26 - mmengine - INFO - Epoch(train) [91][760/940] lr: 1.0000e-04 eta: 1:33:50 time: 0.6058 data_time: 0.0356 memory: 8322 grad_norm: 4.9298 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0474 loss: 1.0474 2022/08/01 09:57:39 - mmengine - INFO - Epoch(train) [91][780/940] lr: 1.0000e-04 eta: 1:33:37 time: 0.6789 data_time: 0.0324 memory: 8322 grad_norm: 4.8182 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1482 loss: 1.1482 2022/08/01 09:57:51 - mmengine - INFO - Epoch(train) [91][800/940] lr: 1.0000e-04 eta: 1:33:24 time: 0.5589 data_time: 0.0504 memory: 8322 grad_norm: 4.7937 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9741 loss: 0.9741 2022/08/01 09:58:04 - mmengine - INFO - Epoch(train) [91][820/940] lr: 1.0000e-04 eta: 1:33:11 time: 0.6833 data_time: 0.0741 memory: 8322 grad_norm: 4.8127 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0311 loss: 1.0311 2022/08/01 09:58:16 - mmengine - INFO - Epoch(train) [91][840/940] lr: 1.0000e-04 eta: 1:32:58 time: 0.5976 data_time: 0.0725 memory: 8322 grad_norm: 4.8549 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0355 loss: 1.0355 2022/08/01 09:58:31 - mmengine - INFO - Epoch(train) [91][860/940] lr: 1.0000e-04 eta: 1:32:45 time: 0.7534 data_time: 0.0559 memory: 8322 grad_norm: 4.8993 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1306 loss: 1.1306 2022/08/01 09:58:43 - mmengine - INFO - Epoch(train) [91][880/940] lr: 1.0000e-04 eta: 1:32:32 time: 0.5651 data_time: 0.0344 memory: 8322 grad_norm: 4.8211 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9721 loss: 0.9721 2022/08/01 09:58:57 - mmengine - INFO - Epoch(train) [91][900/940] lr: 1.0000e-04 eta: 1:32:19 time: 0.7153 data_time: 0.0298 memory: 8322 grad_norm: 4.8320 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0216 loss: 1.0216 2022/08/01 09:59:08 - mmengine - INFO - Epoch(train) [91][920/940] lr: 1.0000e-04 eta: 1:32:05 time: 0.5464 data_time: 0.0449 memory: 8322 grad_norm: 4.8303 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0791 loss: 1.0791 2022/08/01 09:59:20 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 09:59:20 - mmengine - INFO - Epoch(train) [91][940/940] lr: 1.0000e-04 eta: 1:31:52 time: 0.6280 data_time: 0.0222 memory: 8322 grad_norm: 5.1494 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9278 loss: 0.9278 2022/08/01 09:59:34 - mmengine - INFO - Epoch(val) [91][20/78] eta: 0:00:39 time: 0.6795 data_time: 0.6132 memory: 1463 2022/08/01 09:59:43 - mmengine - INFO - Epoch(val) [91][40/78] eta: 0:00:16 time: 0.4324 data_time: 0.3675 memory: 1463 2022/08/01 09:59:56 - mmengine - INFO - Epoch(val) [91][60/78] eta: 0:00:11 time: 0.6409 data_time: 0.5792 memory: 1463 2022/08/01 10:00:06 - mmengine - INFO - Epoch(val) [91][78/78] acc/top1: 0.6927 acc/top5: 0.8836 acc/mean1: 0.6926 2022/08/01 10:00:23 - mmengine - INFO - Epoch(train) [92][20/940] lr: 1.0000e-04 eta: 1:31:40 time: 0.8308 data_time: 0.5440 memory: 8322 grad_norm: 4.8039 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0201 loss: 1.0201 2022/08/01 10:00:37 - mmengine - INFO - Epoch(train) [92][40/940] lr: 1.0000e-04 eta: 1:31:27 time: 0.7042 data_time: 0.3534 memory: 8322 grad_norm: 4.7425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0414 loss: 1.0414 2022/08/01 10:00:51 - mmengine - INFO - Epoch(train) [92][60/940] lr: 1.0000e-04 eta: 1:31:14 time: 0.7220 data_time: 0.0342 memory: 8322 grad_norm: 4.8803 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0209 loss: 1.0209 2022/08/01 10:01:02 - mmengine - INFO - Epoch(train) [92][80/940] lr: 1.0000e-04 eta: 1:31:01 time: 0.5380 data_time: 0.0361 memory: 8322 grad_norm: 4.8557 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0838 loss: 1.0838 2022/08/01 10:01:16 - mmengine - INFO - Epoch(train) [92][100/940] lr: 1.0000e-04 eta: 1:30:48 time: 0.7007 data_time: 0.0657 memory: 8322 grad_norm: 4.8530 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0727 loss: 1.0727 2022/08/01 10:01:27 - mmengine - INFO - Epoch(train) [92][120/940] lr: 1.0000e-04 eta: 1:30:34 time: 0.5589 data_time: 0.0690 memory: 8322 grad_norm: 4.7656 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0296 loss: 1.0296 2022/08/01 10:01:42 - mmengine - INFO - Epoch(train) [92][140/940] lr: 1.0000e-04 eta: 1:30:22 time: 0.7572 data_time: 0.1384 memory: 8322 grad_norm: 4.8544 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9852 loss: 0.9852 2022/08/01 10:01:54 - mmengine - INFO - Epoch(train) [92][160/940] lr: 1.0000e-04 eta: 1:30:08 time: 0.5783 data_time: 0.0356 memory: 8322 grad_norm: 4.8634 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0706 loss: 1.0706 2022/08/01 10:02:08 - mmengine - INFO - Epoch(train) [92][180/940] lr: 1.0000e-04 eta: 1:29:56 time: 0.7137 data_time: 0.1597 memory: 8322 grad_norm: 4.7010 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9510 loss: 0.9510 2022/08/01 10:02:19 - mmengine - INFO - Epoch(train) [92][200/940] lr: 1.0000e-04 eta: 1:29:42 time: 0.5570 data_time: 0.1274 memory: 8322 grad_norm: 4.7803 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0613 loss: 1.0613 2022/08/01 10:02:33 - mmengine - INFO - Epoch(train) [92][220/940] lr: 1.0000e-04 eta: 1:29:29 time: 0.6840 data_time: 0.2063 memory: 8322 grad_norm: 4.8533 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0557 loss: 1.0557 2022/08/01 10:02:45 - mmengine - INFO - Epoch(train) [92][240/940] lr: 1.0000e-04 eta: 1:29:16 time: 0.5984 data_time: 0.2325 memory: 8322 grad_norm: 4.8010 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9321 loss: 0.9321 2022/08/01 10:03:00 - mmengine - INFO - Epoch(train) [92][260/940] lr: 1.0000e-04 eta: 1:29:03 time: 0.7493 data_time: 0.4556 memory: 8322 grad_norm: 4.7311 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9743 loss: 0.9743 2022/08/01 10:03:13 - mmengine - INFO - Epoch(train) [92][280/940] lr: 1.0000e-04 eta: 1:28:50 time: 0.6496 data_time: 0.4086 memory: 8322 grad_norm: 4.8482 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0546 loss: 1.0546 2022/08/01 10:03:25 - mmengine - INFO - Epoch(train) [92][300/940] lr: 1.0000e-04 eta: 1:28:37 time: 0.5743 data_time: 0.2369 memory: 8322 grad_norm: 4.8473 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0448 loss: 1.0448 2022/08/01 10:03:39 - mmengine - INFO - Epoch(train) [92][320/940] lr: 1.0000e-04 eta: 1:28:24 time: 0.7232 data_time: 0.3496 memory: 8322 grad_norm: 4.9203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0819 loss: 1.0819 2022/08/01 10:03:50 - mmengine - INFO - Epoch(train) [92][340/940] lr: 1.0000e-04 eta: 1:28:11 time: 0.5462 data_time: 0.2875 memory: 8322 grad_norm: 4.8706 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0601 loss: 1.0601 2022/08/01 10:04:04 - mmengine - INFO - Epoch(train) [92][360/940] lr: 1.0000e-04 eta: 1:27:58 time: 0.6913 data_time: 0.4090 memory: 8322 grad_norm: 4.8848 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0374 loss: 1.0374 2022/08/01 10:04:16 - mmengine - INFO - Epoch(train) [92][380/940] lr: 1.0000e-04 eta: 1:27:45 time: 0.5867 data_time: 0.3011 memory: 8322 grad_norm: 4.8892 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.0541 loss: 1.0541 2022/08/01 10:04:32 - mmengine - INFO - Epoch(train) [92][400/940] lr: 1.0000e-04 eta: 1:27:32 time: 0.7998 data_time: 0.2296 memory: 8322 grad_norm: 4.7371 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9240 loss: 0.9240 2022/08/01 10:04:42 - mmengine - INFO - Epoch(train) [92][420/940] lr: 1.0000e-04 eta: 1:27:19 time: 0.5417 data_time: 0.0731 memory: 8322 grad_norm: 4.7588 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.0978 loss: 1.0978 2022/08/01 10:04:54 - mmengine - INFO - Epoch(train) [92][440/940] lr: 1.0000e-04 eta: 1:27:06 time: 0.6002 data_time: 0.0361 memory: 8322 grad_norm: 4.8613 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9256 loss: 0.9256 2022/08/01 10:05:08 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:05:08 - mmengine - INFO - Epoch(train) [92][460/940] lr: 1.0000e-04 eta: 1:26:53 time: 0.6759 data_time: 0.0380 memory: 8322 grad_norm: 4.8164 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0622 loss: 1.0622 2022/08/01 10:05:21 - mmengine - INFO - Epoch(train) [92][480/940] lr: 1.0000e-04 eta: 1:26:40 time: 0.6457 data_time: 0.0279 memory: 8322 grad_norm: 4.7139 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9842 loss: 0.9842 2022/08/01 10:05:34 - mmengine - INFO - Epoch(train) [92][500/940] lr: 1.0000e-04 eta: 1:26:27 time: 0.6575 data_time: 0.0422 memory: 8322 grad_norm: 4.7427 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0672 loss: 1.0672 2022/08/01 10:05:47 - mmengine - INFO - Epoch(train) [92][520/940] lr: 1.0000e-04 eta: 1:26:14 time: 0.6618 data_time: 0.0352 memory: 8322 grad_norm: 4.7931 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9469 loss: 0.9469 2022/08/01 10:06:00 - mmengine - INFO - Epoch(train) [92][540/940] lr: 1.0000e-04 eta: 1:26:01 time: 0.6319 data_time: 0.0379 memory: 8322 grad_norm: 4.8764 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0807 loss: 1.0807 2022/08/01 10:06:13 - mmengine - INFO - Epoch(train) [92][560/940] lr: 1.0000e-04 eta: 1:25:48 time: 0.6542 data_time: 0.0272 memory: 8322 grad_norm: 4.7901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0254 loss: 1.0254 2022/08/01 10:06:27 - mmengine - INFO - Epoch(train) [92][580/940] lr: 1.0000e-04 eta: 1:25:35 time: 0.6728 data_time: 0.0336 memory: 8322 grad_norm: 4.8951 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1135 loss: 1.1135 2022/08/01 10:06:39 - mmengine - INFO - Epoch(train) [92][600/940] lr: 1.0000e-04 eta: 1:25:22 time: 0.6065 data_time: 0.0365 memory: 8322 grad_norm: 4.8690 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.0622 loss: 1.0622 2022/08/01 10:06:52 - mmengine - INFO - Epoch(train) [92][620/940] lr: 1.0000e-04 eta: 1:25:08 time: 0.6680 data_time: 0.0505 memory: 8322 grad_norm: 4.7929 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0120 loss: 1.0120 2022/08/01 10:07:04 - mmengine - INFO - Epoch(train) [92][640/940] lr: 1.0000e-04 eta: 1:24:55 time: 0.5888 data_time: 0.0417 memory: 8322 grad_norm: 4.9133 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0831 loss: 1.0831 2022/08/01 10:07:17 - mmengine - INFO - Epoch(train) [92][660/940] lr: 1.0000e-04 eta: 1:24:42 time: 0.6492 data_time: 0.0597 memory: 8322 grad_norm: 4.7985 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9783 loss: 0.9783 2022/08/01 10:07:30 - mmengine - INFO - Epoch(train) [92][680/940] lr: 1.0000e-04 eta: 1:24:29 time: 0.6395 data_time: 0.0795 memory: 8322 grad_norm: 4.7874 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0672 loss: 1.0672 2022/08/01 10:07:44 - mmengine - INFO - Epoch(train) [92][700/940] lr: 1.0000e-04 eta: 1:24:16 time: 0.7010 data_time: 0.0355 memory: 8322 grad_norm: 4.8044 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0291 loss: 1.0291 2022/08/01 10:07:55 - mmengine - INFO - Epoch(train) [92][720/940] lr: 1.0000e-04 eta: 1:24:03 time: 0.5904 data_time: 0.0227 memory: 8322 grad_norm: 4.8244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/08/01 10:08:10 - mmengine - INFO - Epoch(train) [92][740/940] lr: 1.0000e-04 eta: 1:23:50 time: 0.7046 data_time: 0.0355 memory: 8322 grad_norm: 4.8456 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9961 loss: 0.9961 2022/08/01 10:08:22 - mmengine - INFO - Epoch(train) [92][760/940] lr: 1.0000e-04 eta: 1:23:37 time: 0.6045 data_time: 0.0253 memory: 8322 grad_norm: 4.8426 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0727 loss: 1.0727 2022/08/01 10:08:35 - mmengine - INFO - Epoch(train) [92][780/940] lr: 1.0000e-04 eta: 1:23:24 time: 0.6698 data_time: 0.0446 memory: 8322 grad_norm: 4.7901 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0793 loss: 1.0793 2022/08/01 10:08:47 - mmengine - INFO - Epoch(train) [92][800/940] lr: 1.0000e-04 eta: 1:23:11 time: 0.6063 data_time: 0.0335 memory: 8322 grad_norm: 4.7873 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9937 loss: 0.9937 2022/08/01 10:09:02 - mmengine - INFO - Epoch(train) [92][820/940] lr: 1.0000e-04 eta: 1:22:58 time: 0.7345 data_time: 0.0319 memory: 8322 grad_norm: 4.8076 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0787 loss: 1.0787 2022/08/01 10:09:13 - mmengine - INFO - Epoch(train) [92][840/940] lr: 1.0000e-04 eta: 1:22:45 time: 0.5777 data_time: 0.0316 memory: 8322 grad_norm: 4.8293 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1087 loss: 1.1087 2022/08/01 10:09:27 - mmengine - INFO - Epoch(train) [92][860/940] lr: 1.0000e-04 eta: 1:22:32 time: 0.6836 data_time: 0.0601 memory: 8322 grad_norm: 4.8670 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0690 loss: 1.0690 2022/08/01 10:09:38 - mmengine - INFO - Epoch(train) [92][880/940] lr: 1.0000e-04 eta: 1:22:19 time: 0.5614 data_time: 0.0347 memory: 8322 grad_norm: 4.8073 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0932 loss: 1.0932 2022/08/01 10:09:54 - mmengine - INFO - Epoch(train) [92][900/940] lr: 1.0000e-04 eta: 1:22:06 time: 0.7580 data_time: 0.0376 memory: 8322 grad_norm: 4.7923 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0227 loss: 1.0227 2022/08/01 10:10:05 - mmengine - INFO - Epoch(train) [92][920/940] lr: 1.0000e-04 eta: 1:21:53 time: 0.5528 data_time: 0.0314 memory: 8322 grad_norm: 4.7318 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9735 loss: 0.9735 2022/08/01 10:10:17 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:10:17 - mmengine - INFO - Epoch(train) [92][940/940] lr: 1.0000e-04 eta: 1:21:40 time: 0.6101 data_time: 0.0260 memory: 8322 grad_norm: 5.0935 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0589 loss: 1.0589 2022/08/01 10:10:31 - mmengine - INFO - Epoch(val) [92][20/78] eta: 0:00:39 time: 0.6850 data_time: 0.6241 memory: 1463 2022/08/01 10:10:39 - mmengine - INFO - Epoch(val) [92][40/78] eta: 0:00:15 time: 0.4209 data_time: 0.3577 memory: 1463 2022/08/01 10:10:52 - mmengine - INFO - Epoch(val) [92][60/78] eta: 0:00:11 time: 0.6560 data_time: 0.5905 memory: 1463 2022/08/01 10:11:03 - mmengine - INFO - Epoch(val) [92][78/78] acc/top1: 0.6928 acc/top5: 0.8846 acc/mean1: 0.6927 2022/08/01 10:11:24 - mmengine - INFO - Epoch(train) [93][20/940] lr: 1.0000e-04 eta: 1:21:27 time: 1.0791 data_time: 0.3270 memory: 8322 grad_norm: 4.8044 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9595 loss: 0.9595 2022/08/01 10:11:36 - mmengine - INFO - Epoch(train) [93][40/940] lr: 1.0000e-04 eta: 1:21:14 time: 0.5968 data_time: 0.0316 memory: 8322 grad_norm: 4.7893 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0615 loss: 1.0615 2022/08/01 10:11:51 - mmengine - INFO - Epoch(train) [93][60/940] lr: 1.0000e-04 eta: 1:21:01 time: 0.7268 data_time: 0.0307 memory: 8322 grad_norm: 4.8162 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0513 loss: 1.0513 2022/08/01 10:12:03 - mmengine - INFO - Epoch(train) [93][80/940] lr: 1.0000e-04 eta: 1:20:48 time: 0.6014 data_time: 0.0298 memory: 8322 grad_norm: 4.8925 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0501 loss: 1.0501 2022/08/01 10:12:16 - mmengine - INFO - Epoch(train) [93][100/940] lr: 1.0000e-04 eta: 1:20:35 time: 0.6761 data_time: 0.0341 memory: 8322 grad_norm: 4.8016 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9556 loss: 0.9556 2022/08/01 10:12:27 - mmengine - INFO - Epoch(train) [93][120/940] lr: 1.0000e-04 eta: 1:20:22 time: 0.5568 data_time: 0.0484 memory: 8322 grad_norm: 4.7393 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0315 loss: 1.0315 2022/08/01 10:12:42 - mmengine - INFO - Epoch(train) [93][140/940] lr: 1.0000e-04 eta: 1:20:09 time: 0.7549 data_time: 0.0259 memory: 8322 grad_norm: 4.7911 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0015 loss: 1.0015 2022/08/01 10:12:53 - mmengine - INFO - Epoch(train) [93][160/940] lr: 1.0000e-04 eta: 1:19:56 time: 0.5145 data_time: 0.0458 memory: 8322 grad_norm: 4.9119 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0133 loss: 1.0133 2022/08/01 10:13:07 - mmengine - INFO - Epoch(train) [93][180/940] lr: 1.0000e-04 eta: 1:19:43 time: 0.7127 data_time: 0.0331 memory: 8322 grad_norm: 4.8392 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9863 loss: 0.9863 2022/08/01 10:13:18 - mmengine - INFO - Epoch(train) [93][200/940] lr: 1.0000e-04 eta: 1:19:30 time: 0.5586 data_time: 0.0332 memory: 8322 grad_norm: 4.7741 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0501 loss: 1.0501 2022/08/01 10:13:33 - mmengine - INFO - Epoch(train) [93][220/940] lr: 1.0000e-04 eta: 1:19:17 time: 0.7244 data_time: 0.0326 memory: 8322 grad_norm: 4.7163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/08/01 10:13:44 - mmengine - INFO - Epoch(train) [93][240/940] lr: 1.0000e-04 eta: 1:19:04 time: 0.5624 data_time: 0.0503 memory: 8322 grad_norm: 4.8183 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 0.9587 loss: 0.9587 2022/08/01 10:13:59 - mmengine - INFO - Epoch(train) [93][260/940] lr: 1.0000e-04 eta: 1:18:51 time: 0.7655 data_time: 0.0317 memory: 8322 grad_norm: 4.8482 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0393 loss: 1.0393 2022/08/01 10:14:11 - mmengine - INFO - Epoch(train) [93][280/940] lr: 1.0000e-04 eta: 1:18:38 time: 0.5896 data_time: 0.0470 memory: 8322 grad_norm: 4.8371 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.0610 loss: 1.0610 2022/08/01 10:14:25 - mmengine - INFO - Epoch(train) [93][300/940] lr: 1.0000e-04 eta: 1:18:25 time: 0.6718 data_time: 0.0306 memory: 8322 grad_norm: 4.7243 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9583 loss: 0.9583 2022/08/01 10:14:35 - mmengine - INFO - Epoch(train) [93][320/940] lr: 1.0000e-04 eta: 1:18:11 time: 0.5244 data_time: 0.0429 memory: 8322 grad_norm: 4.7274 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.0417 loss: 1.0417 2022/08/01 10:14:50 - mmengine - INFO - Epoch(train) [93][340/940] lr: 1.0000e-04 eta: 1:17:59 time: 0.7531 data_time: 0.0324 memory: 8322 grad_norm: 4.8172 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9913 loss: 0.9913 2022/08/01 10:15:02 - mmengine - INFO - Epoch(train) [93][360/940] lr: 1.0000e-04 eta: 1:17:45 time: 0.5718 data_time: 0.0327 memory: 8322 grad_norm: 4.7883 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0580 loss: 1.0580 2022/08/01 10:15:14 - mmengine - INFO - Epoch(train) [93][380/940] lr: 1.0000e-04 eta: 1:17:32 time: 0.6331 data_time: 0.0338 memory: 8322 grad_norm: 4.8675 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9613 loss: 0.9613 2022/08/01 10:15:27 - mmengine - INFO - Epoch(train) [93][400/940] lr: 1.0000e-04 eta: 1:17:19 time: 0.6234 data_time: 0.0340 memory: 8322 grad_norm: 4.7764 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0273 loss: 1.0273 2022/08/01 10:15:41 - mmengine - INFO - Epoch(train) [93][420/940] lr: 1.0000e-04 eta: 1:17:06 time: 0.7005 data_time: 0.0351 memory: 8322 grad_norm: 4.8713 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8911 loss: 0.8911 2022/08/01 10:15:52 - mmengine - INFO - Epoch(train) [93][440/940] lr: 1.0000e-04 eta: 1:16:53 time: 0.5825 data_time: 0.0366 memory: 8322 grad_norm: 4.8699 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0206 loss: 1.0206 2022/08/01 10:16:06 - mmengine - INFO - Epoch(train) [93][460/940] lr: 1.0000e-04 eta: 1:16:40 time: 0.6986 data_time: 0.0288 memory: 8322 grad_norm: 4.7243 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.0309 loss: 1.0309 2022/08/01 10:16:19 - mmengine - INFO - Epoch(train) [93][480/940] lr: 1.0000e-04 eta: 1:16:27 time: 0.6205 data_time: 0.0386 memory: 8322 grad_norm: 4.7263 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9472 loss: 0.9472 2022/08/01 10:16:33 - mmengine - INFO - Epoch(train) [93][500/940] lr: 1.0000e-04 eta: 1:16:14 time: 0.6908 data_time: 0.0348 memory: 8322 grad_norm: 4.9219 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0938 loss: 1.0938 2022/08/01 10:16:44 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:16:44 - mmengine - INFO - Epoch(train) [93][520/940] lr: 1.0000e-04 eta: 1:16:01 time: 0.5528 data_time: 0.0430 memory: 8322 grad_norm: 4.7917 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9835 loss: 0.9835 2022/08/01 10:16:57 - mmengine - INFO - Epoch(train) [93][540/940] lr: 1.0000e-04 eta: 1:15:48 time: 0.6651 data_time: 0.0283 memory: 8322 grad_norm: 4.7720 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9067 loss: 0.9067 2022/08/01 10:17:11 - mmengine - INFO - Epoch(train) [93][560/940] lr: 1.0000e-04 eta: 1:15:35 time: 0.7160 data_time: 0.3050 memory: 8322 grad_norm: 4.6800 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9183 loss: 0.9183 2022/08/01 10:17:22 - mmengine - INFO - Epoch(train) [93][580/940] lr: 1.0000e-04 eta: 1:15:22 time: 0.5503 data_time: 0.1696 memory: 8322 grad_norm: 4.7979 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0251 loss: 1.0251 2022/08/01 10:17:36 - mmengine - INFO - Epoch(train) [93][600/940] lr: 1.0000e-04 eta: 1:15:09 time: 0.6814 data_time: 0.3671 memory: 8322 grad_norm: 4.7944 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0590 loss: 1.0590 2022/08/01 10:17:48 - mmengine - INFO - Epoch(train) [93][620/940] lr: 1.0000e-04 eta: 1:14:56 time: 0.6108 data_time: 0.2113 memory: 8322 grad_norm: 4.7983 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1241 loss: 1.1241 2022/08/01 10:18:03 - mmengine - INFO - Epoch(train) [93][640/940] lr: 1.0000e-04 eta: 1:14:43 time: 0.7339 data_time: 0.4590 memory: 8322 grad_norm: 4.9046 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.0143 loss: 1.0143 2022/08/01 10:18:15 - mmengine - INFO - Epoch(train) [93][660/940] lr: 1.0000e-04 eta: 1:14:30 time: 0.5931 data_time: 0.2797 memory: 8322 grad_norm: 4.6951 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/08/01 10:18:28 - mmengine - INFO - Epoch(train) [93][680/940] lr: 1.0000e-04 eta: 1:14:17 time: 0.6776 data_time: 0.3890 memory: 8322 grad_norm: 4.9423 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0842 loss: 1.0842 2022/08/01 10:18:40 - mmengine - INFO - Epoch(train) [93][700/940] lr: 1.0000e-04 eta: 1:14:04 time: 0.5820 data_time: 0.2628 memory: 8322 grad_norm: 4.8240 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9563 loss: 0.9563 2022/08/01 10:18:54 - mmengine - INFO - Epoch(train) [93][720/940] lr: 1.0000e-04 eta: 1:13:51 time: 0.7145 data_time: 0.4013 memory: 8322 grad_norm: 4.7790 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1102 loss: 1.1102 2022/08/01 10:19:05 - mmengine - INFO - Epoch(train) [93][740/940] lr: 1.0000e-04 eta: 1:13:37 time: 0.5448 data_time: 0.2821 memory: 8322 grad_norm: 4.7822 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0233 loss: 1.0233 2022/08/01 10:19:20 - mmengine - INFO - Epoch(train) [93][760/940] lr: 1.0000e-04 eta: 1:13:25 time: 0.7210 data_time: 0.4638 memory: 8322 grad_norm: 4.8950 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2024 loss: 1.2024 2022/08/01 10:19:31 - mmengine - INFO - Epoch(train) [93][780/940] lr: 1.0000e-04 eta: 1:13:11 time: 0.5675 data_time: 0.3226 memory: 8322 grad_norm: 4.8599 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1032 loss: 1.1032 2022/08/01 10:19:45 - mmengine - INFO - Epoch(train) [93][800/940] lr: 1.0000e-04 eta: 1:12:58 time: 0.7233 data_time: 0.4932 memory: 8322 grad_norm: 4.8179 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0177 loss: 1.0177 2022/08/01 10:19:57 - mmengine - INFO - Epoch(train) [93][820/940] lr: 1.0000e-04 eta: 1:12:45 time: 0.5596 data_time: 0.3200 memory: 8322 grad_norm: 4.8130 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9462 loss: 0.9462 2022/08/01 10:20:12 - mmengine - INFO - Epoch(train) [93][840/940] lr: 1.0000e-04 eta: 1:12:32 time: 0.7504 data_time: 0.4966 memory: 8322 grad_norm: 4.8332 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9482 loss: 0.9482 2022/08/01 10:20:23 - mmengine - INFO - Epoch(train) [93][860/940] lr: 1.0000e-04 eta: 1:12:19 time: 0.5657 data_time: 0.3205 memory: 8322 grad_norm: 4.9346 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0845 loss: 1.0845 2022/08/01 10:20:38 - mmengine - INFO - Epoch(train) [93][880/940] lr: 1.0000e-04 eta: 1:12:06 time: 0.7444 data_time: 0.4937 memory: 8322 grad_norm: 4.8887 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0483 loss: 1.0483 2022/08/01 10:20:50 - mmengine - INFO - Epoch(train) [93][900/940] lr: 1.0000e-04 eta: 1:11:53 time: 0.5904 data_time: 0.3567 memory: 8322 grad_norm: 4.8288 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1089 loss: 1.1089 2022/08/01 10:21:04 - mmengine - INFO - Epoch(train) [93][920/940] lr: 1.0000e-04 eta: 1:11:40 time: 0.6967 data_time: 0.4451 memory: 8322 grad_norm: 4.7887 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0607 loss: 1.0607 2022/08/01 10:21:14 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:21:14 - mmengine - INFO - Epoch(train) [93][940/940] lr: 1.0000e-04 eta: 1:11:27 time: 0.5130 data_time: 0.3028 memory: 8322 grad_norm: 5.2563 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1559 loss: 1.1559 2022/08/01 10:21:14 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/08/01 10:21:30 - mmengine - INFO - Epoch(val) [93][20/78] eta: 0:00:39 time: 0.6883 data_time: 0.6258 memory: 1463 2022/08/01 10:21:39 - mmengine - INFO - Epoch(val) [93][40/78] eta: 0:00:16 time: 0.4454 data_time: 0.3828 memory: 1463 2022/08/01 10:21:51 - mmengine - INFO - Epoch(val) [93][60/78] eta: 0:00:11 time: 0.6278 data_time: 0.5518 memory: 1463 2022/08/01 10:22:02 - mmengine - INFO - Epoch(val) [93][78/78] acc/top1: 0.6916 acc/top5: 0.8845 acc/mean1: 0.6915 2022/08/01 10:22:18 - mmengine - INFO - Epoch(train) [94][20/940] lr: 1.0000e-04 eta: 1:11:14 time: 0.8176 data_time: 0.5110 memory: 8322 grad_norm: 4.7338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1275 loss: 1.1275 2022/08/01 10:22:30 - mmengine - INFO - Epoch(train) [94][40/940] lr: 1.0000e-04 eta: 1:11:01 time: 0.5882 data_time: 0.2689 memory: 8322 grad_norm: 4.8468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1395 loss: 1.1395 2022/08/01 10:22:44 - mmengine - INFO - Epoch(train) [94][60/940] lr: 1.0000e-04 eta: 1:10:48 time: 0.7250 data_time: 0.3966 memory: 8322 grad_norm: 4.7650 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9913 loss: 0.9913 2022/08/01 10:22:55 - mmengine - INFO - Epoch(train) [94][80/940] lr: 1.0000e-04 eta: 1:10:35 time: 0.5374 data_time: 0.2519 memory: 8322 grad_norm: 4.8403 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0525 loss: 1.0525 2022/08/01 10:23:10 - mmengine - INFO - Epoch(train) [94][100/940] lr: 1.0000e-04 eta: 1:10:22 time: 0.7308 data_time: 0.2946 memory: 8322 grad_norm: 4.7400 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1023 loss: 1.1023 2022/08/01 10:23:21 - mmengine - INFO - Epoch(train) [94][120/940] lr: 1.0000e-04 eta: 1:10:09 time: 0.5719 data_time: 0.1370 memory: 8322 grad_norm: 4.9166 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0541 loss: 1.0541 2022/08/01 10:23:36 - mmengine - INFO - Epoch(train) [94][140/940] lr: 1.0000e-04 eta: 1:09:56 time: 0.7459 data_time: 0.0906 memory: 8322 grad_norm: 4.8596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1829 loss: 1.1829 2022/08/01 10:23:47 - mmengine - INFO - Epoch(train) [94][160/940] lr: 1.0000e-04 eta: 1:09:43 time: 0.5397 data_time: 0.0545 memory: 8322 grad_norm: 4.8280 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0165 loss: 1.0165 2022/08/01 10:24:02 - mmengine - INFO - Epoch(train) [94][180/940] lr: 1.0000e-04 eta: 1:09:30 time: 0.7472 data_time: 0.0391 memory: 8322 grad_norm: 4.8310 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0276 loss: 1.0276 2022/08/01 10:24:14 - mmengine - INFO - Epoch(train) [94][200/940] lr: 1.0000e-04 eta: 1:09:17 time: 0.5944 data_time: 0.0325 memory: 8322 grad_norm: 4.7812 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9435 loss: 0.9435 2022/08/01 10:24:27 - mmengine - INFO - Epoch(train) [94][220/940] lr: 1.0000e-04 eta: 1:09:04 time: 0.6747 data_time: 0.0392 memory: 8322 grad_norm: 4.8171 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0897 loss: 1.0897 2022/08/01 10:24:39 - mmengine - INFO - Epoch(train) [94][240/940] lr: 1.0000e-04 eta: 1:08:51 time: 0.5769 data_time: 0.0299 memory: 8322 grad_norm: 4.8559 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.0664 loss: 1.0664 2022/08/01 10:24:54 - mmengine - INFO - Epoch(train) [94][260/940] lr: 1.0000e-04 eta: 1:08:38 time: 0.7360 data_time: 0.0355 memory: 8322 grad_norm: 4.7670 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0260 loss: 1.0260 2022/08/01 10:25:05 - mmengine - INFO - Epoch(train) [94][280/940] lr: 1.0000e-04 eta: 1:08:25 time: 0.5651 data_time: 0.0252 memory: 8322 grad_norm: 4.7689 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/08/01 10:25:19 - mmengine - INFO - Epoch(train) [94][300/940] lr: 1.0000e-04 eta: 1:08:12 time: 0.7152 data_time: 0.0316 memory: 8322 grad_norm: 4.8985 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0778 loss: 1.0778 2022/08/01 10:25:31 - mmengine - INFO - Epoch(train) [94][320/940] lr: 1.0000e-04 eta: 1:07:59 time: 0.5910 data_time: 0.0330 memory: 8322 grad_norm: 4.7992 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0141 loss: 1.0141 2022/08/01 10:25:45 - mmengine - INFO - Epoch(train) [94][340/940] lr: 1.0000e-04 eta: 1:07:46 time: 0.7045 data_time: 0.0408 memory: 8322 grad_norm: 4.7979 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9903 loss: 0.9903 2022/08/01 10:25:56 - mmengine - INFO - Epoch(train) [94][360/940] lr: 1.0000e-04 eta: 1:07:32 time: 0.5357 data_time: 0.0271 memory: 8322 grad_norm: 4.7569 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9938 loss: 0.9938 2022/08/01 10:26:10 - mmengine - INFO - Epoch(train) [94][380/940] lr: 1.0000e-04 eta: 1:07:19 time: 0.7039 data_time: 0.0497 memory: 8322 grad_norm: 4.5932 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0326 loss: 1.0326 2022/08/01 10:26:22 - mmengine - INFO - Epoch(train) [94][400/940] lr: 1.0000e-04 eta: 1:07:06 time: 0.5903 data_time: 0.0331 memory: 8322 grad_norm: 4.8345 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1239 loss: 1.1239 2022/08/01 10:26:37 - mmengine - INFO - Epoch(train) [94][420/940] lr: 1.0000e-04 eta: 1:06:53 time: 0.7882 data_time: 0.0390 memory: 8322 grad_norm: 4.8552 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9565 loss: 0.9565 2022/08/01 10:26:48 - mmengine - INFO - Epoch(train) [94][440/940] lr: 1.0000e-04 eta: 1:06:40 time: 0.5170 data_time: 0.0273 memory: 8322 grad_norm: 4.8959 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0243 loss: 1.0243 2022/08/01 10:27:04 - mmengine - INFO - Epoch(train) [94][460/940] lr: 1.0000e-04 eta: 1:06:27 time: 0.7862 data_time: 0.0358 memory: 8322 grad_norm: 4.8623 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9533 loss: 0.9533 2022/08/01 10:27:14 - mmengine - INFO - Epoch(train) [94][480/940] lr: 1.0000e-04 eta: 1:06:14 time: 0.5170 data_time: 0.0284 memory: 8322 grad_norm: 4.7658 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0616 loss: 1.0616 2022/08/01 10:27:28 - mmengine - INFO - Epoch(train) [94][500/940] lr: 1.0000e-04 eta: 1:06:01 time: 0.7270 data_time: 0.0314 memory: 8322 grad_norm: 4.8898 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0758 loss: 1.0758 2022/08/01 10:27:40 - mmengine - INFO - Epoch(train) [94][520/940] lr: 1.0000e-04 eta: 1:05:48 time: 0.5541 data_time: 0.0301 memory: 8322 grad_norm: 4.8174 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0500 loss: 1.0500 2022/08/01 10:27:54 - mmengine - INFO - Epoch(train) [94][540/940] lr: 1.0000e-04 eta: 1:05:35 time: 0.6996 data_time: 0.0317 memory: 8322 grad_norm: 4.8174 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0714 loss: 1.0714 2022/08/01 10:28:07 - mmengine - INFO - Epoch(train) [94][560/940] lr: 1.0000e-04 eta: 1:05:22 time: 0.6467 data_time: 0.0420 memory: 8322 grad_norm: 4.8251 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0104 loss: 1.0104 2022/08/01 10:28:21 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:28:21 - mmengine - INFO - Epoch(train) [94][580/940] lr: 1.0000e-04 eta: 1:05:09 time: 0.7036 data_time: 0.0343 memory: 8322 grad_norm: 4.7528 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0847 loss: 1.0847 2022/08/01 10:28:32 - mmengine - INFO - Epoch(train) [94][600/940] lr: 1.0000e-04 eta: 1:04:56 time: 0.5677 data_time: 0.0403 memory: 8322 grad_norm: 4.7432 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9831 loss: 0.9831 2022/08/01 10:28:46 - mmengine - INFO - Epoch(train) [94][620/940] lr: 1.0000e-04 eta: 1:04:43 time: 0.7075 data_time: 0.0289 memory: 8322 grad_norm: 4.9962 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1186 loss: 1.1186 2022/08/01 10:28:57 - mmengine - INFO - Epoch(train) [94][640/940] lr: 1.0000e-04 eta: 1:04:30 time: 0.5395 data_time: 0.0311 memory: 8322 grad_norm: 4.8965 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1082 loss: 1.1082 2022/08/01 10:29:11 - mmengine - INFO - Epoch(train) [94][660/940] lr: 1.0000e-04 eta: 1:04:17 time: 0.6823 data_time: 0.0388 memory: 8322 grad_norm: 4.8606 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9775 loss: 0.9775 2022/08/01 10:29:23 - mmengine - INFO - Epoch(train) [94][680/940] lr: 1.0000e-04 eta: 1:04:04 time: 0.6019 data_time: 0.0353 memory: 8322 grad_norm: 4.7716 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 0.9598 loss: 0.9598 2022/08/01 10:29:36 - mmengine - INFO - Epoch(train) [94][700/940] lr: 1.0000e-04 eta: 1:03:51 time: 0.6686 data_time: 0.0355 memory: 8322 grad_norm: 4.7601 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0150 loss: 1.0150 2022/08/01 10:29:49 - mmengine - INFO - Epoch(train) [94][720/940] lr: 1.0000e-04 eta: 1:03:38 time: 0.6377 data_time: 0.0325 memory: 8322 grad_norm: 4.8865 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9856 loss: 0.9856 2022/08/01 10:30:03 - mmengine - INFO - Epoch(train) [94][740/940] lr: 1.0000e-04 eta: 1:03:25 time: 0.7074 data_time: 0.0404 memory: 8322 grad_norm: 4.9089 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9986 loss: 0.9986 2022/08/01 10:30:15 - mmengine - INFO - Epoch(train) [94][760/940] lr: 1.0000e-04 eta: 1:03:12 time: 0.5791 data_time: 0.0319 memory: 8322 grad_norm: 4.8098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0924 loss: 1.0924 2022/08/01 10:30:28 - mmengine - INFO - Epoch(train) [94][780/940] lr: 1.0000e-04 eta: 1:02:59 time: 0.6938 data_time: 0.0315 memory: 8322 grad_norm: 4.8618 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1376 loss: 1.1376 2022/08/01 10:30:41 - mmengine - INFO - Epoch(train) [94][800/940] lr: 1.0000e-04 eta: 1:02:46 time: 0.6309 data_time: 0.0314 memory: 8322 grad_norm: 4.9204 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0614 loss: 1.0614 2022/08/01 10:30:55 - mmengine - INFO - Epoch(train) [94][820/940] lr: 1.0000e-04 eta: 1:02:33 time: 0.6982 data_time: 0.0322 memory: 8322 grad_norm: 4.8941 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0672 loss: 1.0672 2022/08/01 10:31:07 - mmengine - INFO - Epoch(train) [94][840/940] lr: 1.0000e-04 eta: 1:02:19 time: 0.5867 data_time: 0.0374 memory: 8322 grad_norm: 4.6853 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0236 loss: 1.0236 2022/08/01 10:31:21 - mmengine - INFO - Epoch(train) [94][860/940] lr: 1.0000e-04 eta: 1:02:07 time: 0.7111 data_time: 0.0389 memory: 8322 grad_norm: 4.8585 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9938 loss: 0.9938 2022/08/01 10:31:31 - mmengine - INFO - Epoch(train) [94][880/940] lr: 1.0000e-04 eta: 1:01:53 time: 0.5113 data_time: 0.0430 memory: 8322 grad_norm: 4.8703 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0111 loss: 1.0111 2022/08/01 10:31:46 - mmengine - INFO - Epoch(train) [94][900/940] lr: 1.0000e-04 eta: 1:01:40 time: 0.7516 data_time: 0.0391 memory: 8322 grad_norm: 4.8659 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0687 loss: 1.0687 2022/08/01 10:31:57 - mmengine - INFO - Epoch(train) [94][920/940] lr: 1.0000e-04 eta: 1:01:27 time: 0.5537 data_time: 0.0384 memory: 8322 grad_norm: 4.8858 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0585 loss: 1.0585 2022/08/01 10:32:10 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:32:10 - mmengine - INFO - Epoch(train) [94][940/940] lr: 1.0000e-04 eta: 1:01:14 time: 0.6078 data_time: 0.0248 memory: 8322 grad_norm: 5.1078 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1105 loss: 1.1105 2022/08/01 10:32:23 - mmengine - INFO - Epoch(val) [94][20/78] eta: 0:00:38 time: 0.6701 data_time: 0.6042 memory: 1463 2022/08/01 10:32:32 - mmengine - INFO - Epoch(val) [94][40/78] eta: 0:00:16 time: 0.4451 data_time: 0.3798 memory: 1463 2022/08/01 10:32:45 - mmengine - INFO - Epoch(val) [94][60/78] eta: 0:00:11 time: 0.6422 data_time: 0.5772 memory: 1463 2022/08/01 10:32:55 - mmengine - INFO - Epoch(val) [94][78/78] acc/top1: 0.6929 acc/top5: 0.8832 acc/mean1: 0.6928 2022/08/01 10:33:12 - mmengine - INFO - Epoch(train) [95][20/940] lr: 1.0000e-04 eta: 1:01:01 time: 0.8095 data_time: 0.5481 memory: 8322 grad_norm: 4.9165 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0258 loss: 1.0258 2022/08/01 10:33:23 - mmengine - INFO - Epoch(train) [95][40/940] lr: 1.0000e-04 eta: 1:00:48 time: 0.5831 data_time: 0.2202 memory: 8322 grad_norm: 4.9750 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1224 loss: 1.1224 2022/08/01 10:33:38 - mmengine - INFO - Epoch(train) [95][60/940] lr: 1.0000e-04 eta: 1:00:35 time: 0.7498 data_time: 0.1359 memory: 8322 grad_norm: 4.8205 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0311 loss: 1.0311 2022/08/01 10:33:49 - mmengine - INFO - Epoch(train) [95][80/940] lr: 1.0000e-04 eta: 1:00:22 time: 0.5397 data_time: 0.0291 memory: 8322 grad_norm: 4.8574 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0982 loss: 1.0982 2022/08/01 10:34:04 - mmengine - INFO - Epoch(train) [95][100/940] lr: 1.0000e-04 eta: 1:00:09 time: 0.7260 data_time: 0.0353 memory: 8322 grad_norm: 4.8882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0148 loss: 1.0148 2022/08/01 10:34:15 - mmengine - INFO - Epoch(train) [95][120/940] lr: 1.0000e-04 eta: 0:59:56 time: 0.5520 data_time: 0.0447 memory: 8322 grad_norm: 4.7537 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0334 loss: 1.0334 2022/08/01 10:34:31 - mmengine - INFO - Epoch(train) [95][140/940] lr: 1.0000e-04 eta: 0:59:43 time: 0.8320 data_time: 0.0375 memory: 8322 grad_norm: 4.8441 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1052 loss: 1.1052 2022/08/01 10:34:43 - mmengine - INFO - Epoch(train) [95][160/940] lr: 1.0000e-04 eta: 0:59:30 time: 0.5674 data_time: 0.0354 memory: 8322 grad_norm: 4.8686 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0629 loss: 1.0629 2022/08/01 10:34:58 - mmengine - INFO - Epoch(train) [95][180/940] lr: 1.0000e-04 eta: 0:59:17 time: 0.7464 data_time: 0.0350 memory: 8322 grad_norm: 4.6519 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0077 loss: 1.0077 2022/08/01 10:35:08 - mmengine - INFO - Epoch(train) [95][200/940] lr: 1.0000e-04 eta: 0:59:04 time: 0.5326 data_time: 0.0337 memory: 8322 grad_norm: 4.7688 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0431 loss: 1.0431 2022/08/01 10:35:22 - mmengine - INFO - Epoch(train) [95][220/940] lr: 1.0000e-04 eta: 0:58:51 time: 0.7079 data_time: 0.0397 memory: 8322 grad_norm: 4.7466 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9964 loss: 0.9964 2022/08/01 10:35:33 - mmengine - INFO - Epoch(train) [95][240/940] lr: 1.0000e-04 eta: 0:58:38 time: 0.5438 data_time: 0.0255 memory: 8322 grad_norm: 4.7917 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9754 loss: 0.9754 2022/08/01 10:35:48 - mmengine - INFO - Epoch(train) [95][260/940] lr: 1.0000e-04 eta: 0:58:25 time: 0.7437 data_time: 0.0377 memory: 8322 grad_norm: 4.8326 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0531 loss: 1.0531 2022/08/01 10:35:59 - mmengine - INFO - Epoch(train) [95][280/940] lr: 1.0000e-04 eta: 0:58:12 time: 0.5565 data_time: 0.0336 memory: 8322 grad_norm: 4.8540 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0849 loss: 1.0849 2022/08/01 10:36:15 - mmengine - INFO - Epoch(train) [95][300/940] lr: 1.0000e-04 eta: 0:57:59 time: 0.7792 data_time: 0.0344 memory: 8322 grad_norm: 4.7689 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9489 loss: 0.9489 2022/08/01 10:36:26 - mmengine - INFO - Epoch(train) [95][320/940] lr: 1.0000e-04 eta: 0:57:46 time: 0.5315 data_time: 0.0321 memory: 8322 grad_norm: 4.8760 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9916 loss: 0.9916 2022/08/01 10:36:39 - mmengine - INFO - Epoch(train) [95][340/940] lr: 1.0000e-04 eta: 0:57:33 time: 0.6879 data_time: 0.0347 memory: 8322 grad_norm: 4.8177 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0834 loss: 1.0834 2022/08/01 10:36:51 - mmengine - INFO - Epoch(train) [95][360/940] lr: 1.0000e-04 eta: 0:57:20 time: 0.5711 data_time: 0.0474 memory: 8322 grad_norm: 4.8260 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1421 loss: 1.1421 2022/08/01 10:37:05 - mmengine - INFO - Epoch(train) [95][380/940] lr: 1.0000e-04 eta: 0:57:07 time: 0.7191 data_time: 0.0358 memory: 8322 grad_norm: 4.9047 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0108 loss: 1.0108 2022/08/01 10:37:17 - mmengine - INFO - Epoch(train) [95][400/940] lr: 1.0000e-04 eta: 0:56:54 time: 0.5810 data_time: 0.0433 memory: 8322 grad_norm: 4.7825 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9486 loss: 0.9486 2022/08/01 10:37:30 - mmengine - INFO - Epoch(train) [95][420/940] lr: 1.0000e-04 eta: 0:56:41 time: 0.6785 data_time: 0.0340 memory: 8322 grad_norm: 4.8806 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9937 loss: 0.9937 2022/08/01 10:37:43 - mmengine - INFO - Epoch(train) [95][440/940] lr: 1.0000e-04 eta: 0:56:28 time: 0.6186 data_time: 0.0381 memory: 8322 grad_norm: 4.7950 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0516 loss: 1.0516 2022/08/01 10:37:57 - mmengine - INFO - Epoch(train) [95][460/940] lr: 1.0000e-04 eta: 0:56:15 time: 0.7049 data_time: 0.0317 memory: 8322 grad_norm: 4.7288 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0178 loss: 1.0178 2022/08/01 10:38:09 - mmengine - INFO - Epoch(train) [95][480/940] lr: 1.0000e-04 eta: 0:56:01 time: 0.6227 data_time: 0.0388 memory: 8322 grad_norm: 4.8212 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0845 loss: 1.0845 2022/08/01 10:38:23 - mmengine - INFO - Epoch(train) [95][500/940] lr: 1.0000e-04 eta: 0:55:48 time: 0.6768 data_time: 0.0360 memory: 8322 grad_norm: 4.8751 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8955 loss: 0.8955 2022/08/01 10:38:35 - mmengine - INFO - Epoch(train) [95][520/940] lr: 1.0000e-04 eta: 0:55:35 time: 0.6277 data_time: 0.0422 memory: 8322 grad_norm: 4.8781 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0404 loss: 1.0404 2022/08/01 10:38:49 - mmengine - INFO - Epoch(train) [95][540/940] lr: 1.0000e-04 eta: 0:55:22 time: 0.6934 data_time: 0.0387 memory: 8322 grad_norm: 4.7166 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0329 loss: 1.0329 2022/08/01 10:39:00 - mmengine - INFO - Epoch(train) [95][560/940] lr: 1.0000e-04 eta: 0:55:09 time: 0.5300 data_time: 0.0368 memory: 8322 grad_norm: 4.7683 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0750 loss: 1.0750 2022/08/01 10:39:15 - mmengine - INFO - Epoch(train) [95][580/940] lr: 1.0000e-04 eta: 0:54:56 time: 0.7305 data_time: 0.0395 memory: 8322 grad_norm: 4.6803 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0499 loss: 1.0499 2022/08/01 10:39:25 - mmengine - INFO - Epoch(train) [95][600/940] lr: 1.0000e-04 eta: 0:54:43 time: 0.5462 data_time: 0.0324 memory: 8322 grad_norm: 4.7202 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9302 loss: 0.9302 2022/08/01 10:39:39 - mmengine - INFO - Epoch(train) [95][620/940] lr: 1.0000e-04 eta: 0:54:30 time: 0.7007 data_time: 0.0371 memory: 8322 grad_norm: 4.8851 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0443 loss: 1.0443 2022/08/01 10:39:51 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:39:51 - mmengine - INFO - Epoch(train) [95][640/940] lr: 1.0000e-04 eta: 0:54:17 time: 0.5561 data_time: 0.0337 memory: 8322 grad_norm: 4.8323 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1222 loss: 1.1222 2022/08/01 10:40:05 - mmengine - INFO - Epoch(train) [95][660/940] lr: 1.0000e-04 eta: 0:54:04 time: 0.7176 data_time: 0.0476 memory: 8322 grad_norm: 4.7868 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8244 loss: 0.8244 2022/08/01 10:40:16 - mmengine - INFO - Epoch(train) [95][680/940] lr: 1.0000e-04 eta: 0:53:51 time: 0.5656 data_time: 0.0300 memory: 8322 grad_norm: 4.8216 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9925 loss: 0.9925 2022/08/01 10:40:31 - mmengine - INFO - Epoch(train) [95][700/940] lr: 1.0000e-04 eta: 0:53:38 time: 0.7190 data_time: 0.0393 memory: 8322 grad_norm: 4.7554 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0349 loss: 1.0349 2022/08/01 10:40:43 - mmengine - INFO - Epoch(train) [95][720/940] lr: 1.0000e-04 eta: 0:53:25 time: 0.6374 data_time: 0.0338 memory: 8322 grad_norm: 4.7909 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9294 loss: 0.9294 2022/08/01 10:40:57 - mmengine - INFO - Epoch(train) [95][740/940] lr: 1.0000e-04 eta: 0:53:12 time: 0.6953 data_time: 0.0508 memory: 8322 grad_norm: 4.8363 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9307 loss: 0.9307 2022/08/01 10:41:08 - mmengine - INFO - Epoch(train) [95][760/940] lr: 1.0000e-04 eta: 0:52:59 time: 0.5479 data_time: 0.0443 memory: 8322 grad_norm: 4.9129 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1080 loss: 1.1080 2022/08/01 10:41:24 - mmengine - INFO - Epoch(train) [95][780/940] lr: 1.0000e-04 eta: 0:52:46 time: 0.8039 data_time: 0.0348 memory: 8322 grad_norm: 4.8787 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9614 loss: 0.9614 2022/08/01 10:41:36 - mmengine - INFO - Epoch(train) [95][800/940] lr: 1.0000e-04 eta: 0:52:33 time: 0.5542 data_time: 0.0330 memory: 8322 grad_norm: 4.8074 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0714 loss: 1.0714 2022/08/01 10:41:50 - mmengine - INFO - Epoch(train) [95][820/940] lr: 1.0000e-04 eta: 0:52:20 time: 0.7071 data_time: 0.0363 memory: 8322 grad_norm: 4.8205 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9784 loss: 0.9784 2022/08/01 10:42:01 - mmengine - INFO - Epoch(train) [95][840/940] lr: 1.0000e-04 eta: 0:52:07 time: 0.5454 data_time: 0.0378 memory: 8322 grad_norm: 4.8349 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9827 loss: 0.9827 2022/08/01 10:42:15 - mmengine - INFO - Epoch(train) [95][860/940] lr: 1.0000e-04 eta: 0:51:54 time: 0.6961 data_time: 0.0385 memory: 8322 grad_norm: 4.8574 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9849 loss: 0.9849 2022/08/01 10:42:26 - mmengine - INFO - Epoch(train) [95][880/940] lr: 1.0000e-04 eta: 0:51:41 time: 0.5902 data_time: 0.0373 memory: 8322 grad_norm: 4.7874 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.0462 loss: 1.0462 2022/08/01 10:42:39 - mmengine - INFO - Epoch(train) [95][900/940] lr: 1.0000e-04 eta: 0:51:28 time: 0.6280 data_time: 0.0371 memory: 8322 grad_norm: 4.8193 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0085 loss: 1.0085 2022/08/01 10:42:51 - mmengine - INFO - Epoch(train) [95][920/940] lr: 1.0000e-04 eta: 0:51:15 time: 0.6049 data_time: 0.0397 memory: 8322 grad_norm: 4.8369 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0688 loss: 1.0688 2022/08/01 10:43:03 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:43:03 - mmengine - INFO - Epoch(train) [95][940/940] lr: 1.0000e-04 eta: 0:51:01 time: 0.5901 data_time: 0.0484 memory: 8322 grad_norm: 5.1744 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.0616 loss: 1.0616 2022/08/01 10:43:16 - mmengine - INFO - Epoch(val) [95][20/78] eta: 0:00:38 time: 0.6687 data_time: 0.6026 memory: 1463 2022/08/01 10:43:25 - mmengine - INFO - Epoch(val) [95][40/78] eta: 0:00:16 time: 0.4408 data_time: 0.3725 memory: 1463 2022/08/01 10:43:38 - mmengine - INFO - Epoch(val) [95][60/78] eta: 0:00:11 time: 0.6282 data_time: 0.5650 memory: 1463 2022/08/01 10:43:49 - mmengine - INFO - Epoch(val) [95][78/78] acc/top1: 0.6929 acc/top5: 0.8844 acc/mean1: 0.6928 2022/08/01 10:44:05 - mmengine - INFO - Epoch(train) [96][20/940] lr: 1.0000e-04 eta: 0:50:49 time: 0.8239 data_time: 0.6029 memory: 8322 grad_norm: 4.8536 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9815 loss: 0.9815 2022/08/01 10:44:17 - mmengine - INFO - Epoch(train) [96][40/940] lr: 1.0000e-04 eta: 0:50:36 time: 0.6023 data_time: 0.3006 memory: 8322 grad_norm: 4.8158 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9130 loss: 0.9130 2022/08/01 10:44:32 - mmengine - INFO - Epoch(train) [96][60/940] lr: 1.0000e-04 eta: 0:50:23 time: 0.7357 data_time: 0.3558 memory: 8322 grad_norm: 4.7880 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1123 loss: 1.1123 2022/08/01 10:44:43 - mmengine - INFO - Epoch(train) [96][80/940] lr: 1.0000e-04 eta: 0:50:09 time: 0.5428 data_time: 0.1706 memory: 8322 grad_norm: 4.7950 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9332 loss: 0.9332 2022/08/01 10:44:57 - mmengine - INFO - Epoch(train) [96][100/940] lr: 1.0000e-04 eta: 0:49:56 time: 0.6919 data_time: 0.4686 memory: 8322 grad_norm: 4.8842 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0262 loss: 1.0262 2022/08/01 10:45:08 - mmengine - INFO - Epoch(train) [96][120/940] lr: 1.0000e-04 eta: 0:49:43 time: 0.5514 data_time: 0.3206 memory: 8322 grad_norm: 4.8259 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0256 loss: 1.0256 2022/08/01 10:45:22 - mmengine - INFO - Epoch(train) [96][140/940] lr: 1.0000e-04 eta: 0:49:30 time: 0.6962 data_time: 0.4815 memory: 8322 grad_norm: 4.7169 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0831 loss: 1.0831 2022/08/01 10:45:34 - mmengine - INFO - Epoch(train) [96][160/940] lr: 1.0000e-04 eta: 0:49:17 time: 0.6179 data_time: 0.3812 memory: 8322 grad_norm: 4.9561 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1498 loss: 1.1498 2022/08/01 10:45:48 - mmengine - INFO - Epoch(train) [96][180/940] lr: 1.0000e-04 eta: 0:49:04 time: 0.7160 data_time: 0.4816 memory: 8322 grad_norm: 4.8109 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0068 loss: 1.0068 2022/08/01 10:46:00 - mmengine - INFO - Epoch(train) [96][200/940] lr: 1.0000e-04 eta: 0:48:51 time: 0.5939 data_time: 0.2616 memory: 8322 grad_norm: 4.9111 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0829 loss: 1.0829 2022/08/01 10:46:14 - mmengine - INFO - Epoch(train) [96][220/940] lr: 1.0000e-04 eta: 0:48:38 time: 0.6837 data_time: 0.3333 memory: 8322 grad_norm: 4.8173 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1596 loss: 1.1596 2022/08/01 10:46:27 - mmengine - INFO - Epoch(train) [96][240/940] lr: 1.0000e-04 eta: 0:48:25 time: 0.6496 data_time: 0.2204 memory: 8322 grad_norm: 4.8443 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0843 loss: 1.0843 2022/08/01 10:46:39 - mmengine - INFO - Epoch(train) [96][260/940] lr: 1.0000e-04 eta: 0:48:12 time: 0.5976 data_time: 0.1754 memory: 8322 grad_norm: 4.8118 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9169 loss: 0.9169 2022/08/01 10:46:52 - mmengine - INFO - Epoch(train) [96][280/940] lr: 1.0000e-04 eta: 0:47:59 time: 0.6538 data_time: 0.1764 memory: 8322 grad_norm: 4.7754 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9828 loss: 0.9828 2022/08/01 10:47:04 - mmengine - INFO - Epoch(train) [96][300/940] lr: 1.0000e-04 eta: 0:47:46 time: 0.6073 data_time: 0.1633 memory: 8322 grad_norm: 4.8431 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1437 loss: 1.1437 2022/08/01 10:47:18 - mmengine - INFO - Epoch(train) [96][320/940] lr: 1.0000e-04 eta: 0:47:33 time: 0.7191 data_time: 0.1445 memory: 8322 grad_norm: 4.8379 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1285 loss: 1.1285 2022/08/01 10:47:30 - mmengine - INFO - Epoch(train) [96][340/940] lr: 1.0000e-04 eta: 0:47:20 time: 0.5967 data_time: 0.0638 memory: 8322 grad_norm: 4.8361 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0242 loss: 1.0242 2022/08/01 10:47:45 - mmengine - INFO - Epoch(train) [96][360/940] lr: 1.0000e-04 eta: 0:47:07 time: 0.7305 data_time: 0.0331 memory: 8322 grad_norm: 4.9053 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9833 loss: 0.9833 2022/08/01 10:47:57 - mmengine - INFO - Epoch(train) [96][380/940] lr: 1.0000e-04 eta: 0:46:54 time: 0.5933 data_time: 0.0394 memory: 8322 grad_norm: 4.8047 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0690 loss: 1.0690 2022/08/01 10:48:10 - mmengine - INFO - Epoch(train) [96][400/940] lr: 1.0000e-04 eta: 0:46:41 time: 0.6339 data_time: 0.1002 memory: 8322 grad_norm: 4.7832 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.0980 loss: 1.0980 2022/08/01 10:48:23 - mmengine - INFO - Epoch(train) [96][420/940] lr: 1.0000e-04 eta: 0:46:28 time: 0.6482 data_time: 0.0304 memory: 8322 grad_norm: 4.9291 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9474 loss: 0.9474 2022/08/01 10:48:35 - mmengine - INFO - Epoch(train) [96][440/940] lr: 1.0000e-04 eta: 0:46:15 time: 0.6150 data_time: 0.0430 memory: 8322 grad_norm: 4.8501 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9925 loss: 0.9925 2022/08/01 10:48:49 - mmengine - INFO - Epoch(train) [96][460/940] lr: 1.0000e-04 eta: 0:46:02 time: 0.6867 data_time: 0.0388 memory: 8322 grad_norm: 4.8198 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0323 loss: 1.0323 2022/08/01 10:49:01 - mmengine - INFO - Epoch(train) [96][480/940] lr: 1.0000e-04 eta: 0:45:49 time: 0.6080 data_time: 0.0344 memory: 8322 grad_norm: 4.8340 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0773 loss: 1.0773 2022/08/01 10:49:15 - mmengine - INFO - Epoch(train) [96][500/940] lr: 1.0000e-04 eta: 0:45:36 time: 0.7149 data_time: 0.0427 memory: 8322 grad_norm: 4.8766 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9591 loss: 0.9591 2022/08/01 10:49:26 - mmengine - INFO - Epoch(train) [96][520/940] lr: 1.0000e-04 eta: 0:45:23 time: 0.5466 data_time: 0.0310 memory: 8322 grad_norm: 4.8130 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0245 loss: 1.0245 2022/08/01 10:49:40 - mmengine - INFO - Epoch(train) [96][540/940] lr: 1.0000e-04 eta: 0:45:10 time: 0.6911 data_time: 0.0400 memory: 8322 grad_norm: 4.8113 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9825 loss: 0.9825 2022/08/01 10:49:51 - mmengine - INFO - Epoch(train) [96][560/940] lr: 1.0000e-04 eta: 0:44:57 time: 0.5790 data_time: 0.0321 memory: 8322 grad_norm: 4.7610 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 0.9840 loss: 0.9840 2022/08/01 10:50:06 - mmengine - INFO - Epoch(train) [96][580/940] lr: 1.0000e-04 eta: 0:44:44 time: 0.7425 data_time: 0.0489 memory: 8322 grad_norm: 4.7605 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9857 loss: 0.9857 2022/08/01 10:50:18 - mmengine - INFO - Epoch(train) [96][600/940] lr: 1.0000e-04 eta: 0:44:30 time: 0.5700 data_time: 0.0289 memory: 8322 grad_norm: 4.8757 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0940 loss: 1.0940 2022/08/01 10:50:31 - mmengine - INFO - Epoch(train) [96][620/940] lr: 1.0000e-04 eta: 0:44:17 time: 0.6694 data_time: 0.0330 memory: 8322 grad_norm: 4.9235 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0495 loss: 1.0495 2022/08/01 10:50:43 - mmengine - INFO - Epoch(train) [96][640/940] lr: 1.0000e-04 eta: 0:44:04 time: 0.5711 data_time: 0.0288 memory: 8322 grad_norm: 4.8349 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9249 loss: 0.9249 2022/08/01 10:50:57 - mmengine - INFO - Epoch(train) [96][660/940] lr: 1.0000e-04 eta: 0:43:51 time: 0.7442 data_time: 0.0367 memory: 8322 grad_norm: 4.9202 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/08/01 10:51:09 - mmengine - INFO - Epoch(train) [96][680/940] lr: 1.0000e-04 eta: 0:43:38 time: 0.5786 data_time: 0.0337 memory: 8322 grad_norm: 4.7807 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0494 loss: 1.0494 2022/08/01 10:51:24 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:51:24 - mmengine - INFO - Epoch(train) [96][700/940] lr: 1.0000e-04 eta: 0:43:25 time: 0.7401 data_time: 0.0342 memory: 8322 grad_norm: 4.8362 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0596 loss: 1.0596 2022/08/01 10:51:35 - mmengine - INFO - Epoch(train) [96][720/940] lr: 1.0000e-04 eta: 0:43:12 time: 0.5554 data_time: 0.0359 memory: 8322 grad_norm: 4.9158 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0088 loss: 1.0088 2022/08/01 10:51:49 - mmengine - INFO - Epoch(train) [96][740/940] lr: 1.0000e-04 eta: 0:42:59 time: 0.7226 data_time: 0.0343 memory: 8322 grad_norm: 4.6883 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9573 loss: 0.9573 2022/08/01 10:52:01 - mmengine - INFO - Epoch(train) [96][760/940] lr: 1.0000e-04 eta: 0:42:46 time: 0.5666 data_time: 0.0335 memory: 8322 grad_norm: 4.8491 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0213 loss: 1.0213 2022/08/01 10:52:16 - mmengine - INFO - Epoch(train) [96][780/940] lr: 1.0000e-04 eta: 0:42:33 time: 0.7721 data_time: 0.0356 memory: 8322 grad_norm: 5.0042 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1046 loss: 1.1046 2022/08/01 10:52:27 - mmengine - INFO - Epoch(train) [96][800/940] lr: 1.0000e-04 eta: 0:42:20 time: 0.5171 data_time: 0.0369 memory: 8322 grad_norm: 4.8177 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1402 loss: 1.1402 2022/08/01 10:52:41 - mmengine - INFO - Epoch(train) [96][820/940] lr: 1.0000e-04 eta: 0:42:07 time: 0.7024 data_time: 0.0384 memory: 8322 grad_norm: 4.7602 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1096 loss: 1.1096 2022/08/01 10:52:52 - mmengine - INFO - Epoch(train) [96][840/940] lr: 1.0000e-04 eta: 0:41:54 time: 0.5574 data_time: 0.0321 memory: 8322 grad_norm: 4.8013 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9804 loss: 0.9804 2022/08/01 10:53:07 - mmengine - INFO - Epoch(train) [96][860/940] lr: 1.0000e-04 eta: 0:41:41 time: 0.7523 data_time: 0.0375 memory: 8322 grad_norm: 4.9248 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0294 loss: 1.0294 2022/08/01 10:53:18 - mmengine - INFO - Epoch(train) [96][880/940] lr: 1.0000e-04 eta: 0:41:28 time: 0.5690 data_time: 0.0338 memory: 8322 grad_norm: 4.8349 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1087 loss: 1.1087 2022/08/01 10:53:32 - mmengine - INFO - Epoch(train) [96][900/940] lr: 1.0000e-04 eta: 0:41:15 time: 0.6650 data_time: 0.0370 memory: 8322 grad_norm: 4.8346 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8976 loss: 0.8976 2022/08/01 10:53:43 - mmengine - INFO - Epoch(train) [96][920/940] lr: 1.0000e-04 eta: 0:41:02 time: 0.5712 data_time: 0.0363 memory: 8322 grad_norm: 4.7950 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0102 loss: 1.0102 2022/08/01 10:53:56 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 10:53:56 - mmengine - INFO - Epoch(train) [96][940/940] lr: 1.0000e-04 eta: 0:40:49 time: 0.6505 data_time: 0.0302 memory: 8322 grad_norm: 5.1053 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9775 loss: 0.9775 2022/08/01 10:53:56 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/01 10:54:11 - mmengine - INFO - Epoch(val) [96][20/78] eta: 0:00:40 time: 0.7010 data_time: 0.6412 memory: 1463 2022/08/01 10:54:20 - mmengine - INFO - Epoch(val) [96][40/78] eta: 0:00:15 time: 0.4198 data_time: 0.3588 memory: 1463 2022/08/01 10:54:32 - mmengine - INFO - Epoch(val) [96][60/78] eta: 0:00:11 time: 0.6345 data_time: 0.5717 memory: 1463 2022/08/01 10:54:42 - mmengine - INFO - Epoch(val) [96][78/78] acc/top1: 0.6930 acc/top5: 0.8832 acc/mean1: 0.6928 2022/08/01 10:54:59 - mmengine - INFO - Epoch(train) [97][20/940] lr: 1.0000e-04 eta: 0:40:36 time: 0.8183 data_time: 0.4123 memory: 8322 grad_norm: 4.8332 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0040 loss: 1.0040 2022/08/01 10:55:11 - mmengine - INFO - Epoch(train) [97][40/940] lr: 1.0000e-04 eta: 0:40:23 time: 0.5939 data_time: 0.1625 memory: 8322 grad_norm: 4.8023 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.9726 loss: 0.9726 2022/08/01 10:55:25 - mmengine - INFO - Epoch(train) [97][60/940] lr: 1.0000e-04 eta: 0:40:10 time: 0.7194 data_time: 0.1336 memory: 8322 grad_norm: 4.9970 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9965 loss: 0.9965 2022/08/01 10:55:36 - mmengine - INFO - Epoch(train) [97][80/940] lr: 1.0000e-04 eta: 0:39:57 time: 0.5363 data_time: 0.0872 memory: 8322 grad_norm: 4.8565 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2016 loss: 1.2016 2022/08/01 10:55:50 - mmengine - INFO - Epoch(train) [97][100/940] lr: 1.0000e-04 eta: 0:39:44 time: 0.7228 data_time: 0.1176 memory: 8322 grad_norm: 4.8283 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.9758 loss: 0.9758 2022/08/01 10:56:02 - mmengine - INFO - Epoch(train) [97][120/940] lr: 1.0000e-04 eta: 0:39:31 time: 0.5801 data_time: 0.0443 memory: 8322 grad_norm: 4.8881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9892 loss: 0.9892 2022/08/01 10:56:16 - mmengine - INFO - Epoch(train) [97][140/940] lr: 1.0000e-04 eta: 0:39:18 time: 0.6876 data_time: 0.0360 memory: 8322 grad_norm: 4.6987 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9387 loss: 0.9387 2022/08/01 10:56:26 - mmengine - INFO - Epoch(train) [97][160/940] lr: 1.0000e-04 eta: 0:39:05 time: 0.5344 data_time: 0.0419 memory: 8322 grad_norm: 4.8310 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9296 loss: 0.9296 2022/08/01 10:56:42 - mmengine - INFO - Epoch(train) [97][180/940] lr: 1.0000e-04 eta: 0:38:52 time: 0.7647 data_time: 0.0356 memory: 8322 grad_norm: 4.7583 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0670 loss: 1.0670 2022/08/01 10:56:54 - mmengine - INFO - Epoch(train) [97][200/940] lr: 1.0000e-04 eta: 0:38:39 time: 0.6087 data_time: 0.0260 memory: 8322 grad_norm: 4.7678 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9690 loss: 0.9690 2022/08/01 10:57:09 - mmengine - INFO - Epoch(train) [97][220/940] lr: 1.0000e-04 eta: 0:38:26 time: 0.7555 data_time: 0.0320 memory: 8322 grad_norm: 4.7810 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0256 loss: 1.0256 2022/08/01 10:57:19 - mmengine - INFO - Epoch(train) [97][240/940] lr: 1.0000e-04 eta: 0:38:12 time: 0.5158 data_time: 0.0254 memory: 8322 grad_norm: 4.8427 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.9528 loss: 0.9528 2022/08/01 10:57:33 - mmengine - INFO - Epoch(train) [97][260/940] lr: 1.0000e-04 eta: 0:38:00 time: 0.7063 data_time: 0.0397 memory: 8322 grad_norm: 4.7962 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9742 loss: 0.9742 2022/08/01 10:57:45 - mmengine - INFO - Epoch(train) [97][280/940] lr: 1.0000e-04 eta: 0:37:46 time: 0.5791 data_time: 0.0247 memory: 8322 grad_norm: 4.9093 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1338 loss: 1.1338 2022/08/01 10:57:59 - mmengine - INFO - Epoch(train) [97][300/940] lr: 1.0000e-04 eta: 0:37:33 time: 0.7174 data_time: 0.0326 memory: 8322 grad_norm: 4.7857 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9581 loss: 0.9581 2022/08/01 10:58:10 - mmengine - INFO - Epoch(train) [97][320/940] lr: 1.0000e-04 eta: 0:37:20 time: 0.5567 data_time: 0.0257 memory: 8322 grad_norm: 4.7525 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9635 loss: 0.9635 2022/08/01 10:58:26 - mmengine - INFO - Epoch(train) [97][340/940] lr: 1.0000e-04 eta: 0:37:07 time: 0.7940 data_time: 0.0306 memory: 8322 grad_norm: 4.9089 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1109 loss: 1.1109 2022/08/01 10:58:37 - mmengine - INFO - Epoch(train) [97][360/940] lr: 1.0000e-04 eta: 0:36:54 time: 0.5237 data_time: 0.0391 memory: 8322 grad_norm: 4.8436 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9877 loss: 0.9877 2022/08/01 10:58:51 - mmengine - INFO - Epoch(train) [97][380/940] lr: 1.0000e-04 eta: 0:36:41 time: 0.7308 data_time: 0.0324 memory: 8322 grad_norm: 4.8106 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0161 loss: 1.0161 2022/08/01 10:59:03 - mmengine - INFO - Epoch(train) [97][400/940] lr: 1.0000e-04 eta: 0:36:28 time: 0.5551 data_time: 0.0249 memory: 8322 grad_norm: 4.8454 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0326 loss: 1.0326 2022/08/01 10:59:17 - mmengine - INFO - Epoch(train) [97][420/940] lr: 1.0000e-04 eta: 0:36:15 time: 0.7225 data_time: 0.0338 memory: 8322 grad_norm: 4.9396 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1481 loss: 1.1481 2022/08/01 10:59:28 - mmengine - INFO - Epoch(train) [97][440/940] lr: 1.0000e-04 eta: 0:36:02 time: 0.5672 data_time: 0.0354 memory: 8322 grad_norm: 4.8045 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9646 loss: 0.9646 2022/08/01 10:59:42 - mmengine - INFO - Epoch(train) [97][460/940] lr: 1.0000e-04 eta: 0:35:49 time: 0.6758 data_time: 0.0369 memory: 8322 grad_norm: 4.7294 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/08/01 10:59:53 - mmengine - INFO - Epoch(train) [97][480/940] lr: 1.0000e-04 eta: 0:35:36 time: 0.5753 data_time: 0.0316 memory: 8322 grad_norm: 4.8062 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9347 loss: 0.9347 2022/08/01 11:00:08 - mmengine - INFO - Epoch(train) [97][500/940] lr: 1.0000e-04 eta: 0:35:23 time: 0.7154 data_time: 0.0366 memory: 8322 grad_norm: 4.8052 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1059 loss: 1.1059 2022/08/01 11:00:19 - mmengine - INFO - Epoch(train) [97][520/940] lr: 1.0000e-04 eta: 0:35:10 time: 0.5604 data_time: 0.0321 memory: 8322 grad_norm: 4.8352 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0654 loss: 1.0654 2022/08/01 11:00:33 - mmengine - INFO - Epoch(train) [97][540/940] lr: 1.0000e-04 eta: 0:34:57 time: 0.6856 data_time: 0.0309 memory: 8322 grad_norm: 4.9910 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0221 loss: 1.0221 2022/08/01 11:00:44 - mmengine - INFO - Epoch(train) [97][560/940] lr: 1.0000e-04 eta: 0:34:44 time: 0.5904 data_time: 0.0327 memory: 8322 grad_norm: 4.8723 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1303 loss: 1.1303 2022/08/01 11:01:00 - mmengine - INFO - Epoch(train) [97][580/940] lr: 1.0000e-04 eta: 0:34:31 time: 0.7774 data_time: 0.0338 memory: 8322 grad_norm: 4.8561 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1244 loss: 1.1244 2022/08/01 11:01:11 - mmengine - INFO - Epoch(train) [97][600/940] lr: 1.0000e-04 eta: 0:34:18 time: 0.5597 data_time: 0.0353 memory: 8322 grad_norm: 4.7932 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9760 loss: 0.9760 2022/08/01 11:01:25 - mmengine - INFO - Epoch(train) [97][620/940] lr: 1.0000e-04 eta: 0:34:05 time: 0.7056 data_time: 0.0305 memory: 8322 grad_norm: 4.9092 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0900 loss: 1.0900 2022/08/01 11:01:37 - mmengine - INFO - Epoch(train) [97][640/940] lr: 1.0000e-04 eta: 0:33:52 time: 0.5852 data_time: 0.0490 memory: 8322 grad_norm: 4.9060 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8957 loss: 0.8957 2022/08/01 11:01:52 - mmengine - INFO - Epoch(train) [97][660/940] lr: 1.0000e-04 eta: 0:33:39 time: 0.7489 data_time: 0.0344 memory: 8322 grad_norm: 4.8857 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0124 loss: 1.0124 2022/08/01 11:02:03 - mmengine - INFO - Epoch(train) [97][680/940] lr: 1.0000e-04 eta: 0:33:26 time: 0.5379 data_time: 0.0423 memory: 8322 grad_norm: 4.7876 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9981 loss: 0.9981 2022/08/01 11:02:17 - mmengine - INFO - Epoch(train) [97][700/940] lr: 1.0000e-04 eta: 0:33:13 time: 0.7220 data_time: 0.0344 memory: 8322 grad_norm: 4.7852 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1093 loss: 1.1093 2022/08/01 11:02:29 - mmengine - INFO - Epoch(train) [97][720/940] lr: 1.0000e-04 eta: 0:33:00 time: 0.5911 data_time: 0.0425 memory: 8322 grad_norm: 4.8573 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8753 loss: 0.8753 2022/08/01 11:02:43 - mmengine - INFO - Epoch(train) [97][740/940] lr: 1.0000e-04 eta: 0:32:47 time: 0.7024 data_time: 0.0758 memory: 8322 grad_norm: 4.8539 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9363 loss: 0.9363 2022/08/01 11:02:55 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 11:02:55 - mmengine - INFO - Epoch(train) [97][760/940] lr: 1.0000e-04 eta: 0:32:34 time: 0.5897 data_time: 0.0362 memory: 8322 grad_norm: 4.7839 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1620 loss: 1.1620 2022/08/01 11:03:09 - mmengine - INFO - Epoch(train) [97][780/940] lr: 1.0000e-04 eta: 0:32:21 time: 0.6985 data_time: 0.0324 memory: 8322 grad_norm: 4.7705 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9831 loss: 0.9831 2022/08/01 11:03:21 - mmengine - INFO - Epoch(train) [97][800/940] lr: 1.0000e-04 eta: 0:32:08 time: 0.5961 data_time: 0.0416 memory: 8322 grad_norm: 4.8538 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1213 loss: 1.1213 2022/08/01 11:03:35 - mmengine - INFO - Epoch(train) [97][820/940] lr: 1.0000e-04 eta: 0:31:55 time: 0.7039 data_time: 0.0294 memory: 8322 grad_norm: 4.7952 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0272 loss: 1.0272 2022/08/01 11:03:46 - mmengine - INFO - Epoch(train) [97][840/940] lr: 1.0000e-04 eta: 0:31:42 time: 0.5509 data_time: 0.0316 memory: 8322 grad_norm: 4.7934 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0251 loss: 1.0251 2022/08/01 11:04:00 - mmengine - INFO - Epoch(train) [97][860/940] lr: 1.0000e-04 eta: 0:31:29 time: 0.7005 data_time: 0.0381 memory: 8322 grad_norm: 4.9574 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0588 loss: 1.0588 2022/08/01 11:04:11 - mmengine - INFO - Epoch(train) [97][880/940] lr: 1.0000e-04 eta: 0:31:15 time: 0.5500 data_time: 0.0307 memory: 8322 grad_norm: 4.8054 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0576 loss: 1.0576 2022/08/01 11:04:25 - mmengine - INFO - Epoch(train) [97][900/940] lr: 1.0000e-04 eta: 0:31:02 time: 0.6804 data_time: 0.0356 memory: 8322 grad_norm: 4.7403 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1137 loss: 1.1137 2022/08/01 11:04:37 - mmengine - INFO - Epoch(train) [97][920/940] lr: 1.0000e-04 eta: 0:30:49 time: 0.6189 data_time: 0.0352 memory: 8322 grad_norm: 4.7594 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8981 loss: 0.8981 2022/08/01 11:04:49 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 11:04:49 - mmengine - INFO - Epoch(train) [97][940/940] lr: 1.0000e-04 eta: 0:30:36 time: 0.6227 data_time: 0.0283 memory: 8322 grad_norm: 5.0834 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.0178 loss: 1.0178 2022/08/01 11:05:03 - mmengine - INFO - Epoch(val) [97][20/78] eta: 0:00:40 time: 0.6911 data_time: 0.6270 memory: 1463 2022/08/01 11:05:12 - mmengine - INFO - Epoch(val) [97][40/78] eta: 0:00:16 time: 0.4244 data_time: 0.3607 memory: 1463 2022/08/01 11:05:25 - mmengine - INFO - Epoch(val) [97][60/78] eta: 0:00:11 time: 0.6498 data_time: 0.5872 memory: 1463 2022/08/01 11:05:35 - mmengine - INFO - Epoch(val) [97][78/78] acc/top1: 0.6922 acc/top5: 0.8839 acc/mean1: 0.6921 2022/08/01 11:05:51 - mmengine - INFO - Epoch(train) [98][20/940] lr: 1.0000e-04 eta: 0:30:23 time: 0.8165 data_time: 0.3924 memory: 8322 grad_norm: 4.7093 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0497 loss: 1.0497 2022/08/01 11:06:03 - mmengine - INFO - Epoch(train) [98][40/940] lr: 1.0000e-04 eta: 0:30:10 time: 0.5617 data_time: 0.2168 memory: 8322 grad_norm: 4.7683 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9497 loss: 0.9497 2022/08/01 11:06:17 - mmengine - INFO - Epoch(train) [98][60/940] lr: 1.0000e-04 eta: 0:29:57 time: 0.7158 data_time: 0.2459 memory: 8322 grad_norm: 4.8747 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0494 loss: 1.0494 2022/08/01 11:06:28 - mmengine - INFO - Epoch(train) [98][80/940] lr: 1.0000e-04 eta: 0:29:44 time: 0.5615 data_time: 0.0793 memory: 8322 grad_norm: 4.8138 top1_acc: 0.7500 top5_acc: 0.7812 loss_cls: 0.9432 loss: 0.9432 2022/08/01 11:06:43 - mmengine - INFO - Epoch(train) [98][100/940] lr: 1.0000e-04 eta: 0:29:31 time: 0.7314 data_time: 0.1065 memory: 8322 grad_norm: 4.8244 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1427 loss: 1.1427 2022/08/01 11:06:54 - mmengine - INFO - Epoch(train) [98][120/940] lr: 1.0000e-04 eta: 0:29:18 time: 0.5698 data_time: 0.0773 memory: 8322 grad_norm: 4.8858 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0907 loss: 1.0907 2022/08/01 11:07:09 - mmengine - INFO - Epoch(train) [98][140/940] lr: 1.0000e-04 eta: 0:29:05 time: 0.7155 data_time: 0.0339 memory: 8322 grad_norm: 4.7271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0347 loss: 1.0347 2022/08/01 11:07:20 - mmengine - INFO - Epoch(train) [98][160/940] lr: 1.0000e-04 eta: 0:28:52 time: 0.5884 data_time: 0.0298 memory: 8322 grad_norm: 4.7916 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0330 loss: 1.0330 2022/08/01 11:07:35 - mmengine - INFO - Epoch(train) [98][180/940] lr: 1.0000e-04 eta: 0:28:39 time: 0.7160 data_time: 0.0350 memory: 8322 grad_norm: 4.9920 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1032 loss: 1.1032 2022/08/01 11:07:47 - mmengine - INFO - Epoch(train) [98][200/940] lr: 1.0000e-04 eta: 0:28:26 time: 0.6217 data_time: 0.0256 memory: 8322 grad_norm: 4.8780 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0946 loss: 1.0946 2022/08/01 11:08:00 - mmengine - INFO - Epoch(train) [98][220/940] lr: 1.0000e-04 eta: 0:28:13 time: 0.6493 data_time: 0.0441 memory: 8322 grad_norm: 4.8533 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9532 loss: 0.9532 2022/08/01 11:08:11 - mmengine - INFO - Epoch(train) [98][240/940] lr: 1.0000e-04 eta: 0:28:00 time: 0.5562 data_time: 0.0276 memory: 8322 grad_norm: 4.8021 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0014 loss: 1.0014 2022/08/01 11:08:27 - mmengine - INFO - Epoch(train) [98][260/940] lr: 1.0000e-04 eta: 0:27:47 time: 0.7862 data_time: 0.0346 memory: 8322 grad_norm: 4.8175 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0296 loss: 1.0296 2022/08/01 11:08:38 - mmengine - INFO - Epoch(train) [98][280/940] lr: 1.0000e-04 eta: 0:27:34 time: 0.5443 data_time: 0.0258 memory: 8322 grad_norm: 4.8292 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9713 loss: 0.9713 2022/08/01 11:08:52 - mmengine - INFO - Epoch(train) [98][300/940] lr: 1.0000e-04 eta: 0:27:21 time: 0.7196 data_time: 0.0346 memory: 8322 grad_norm: 4.8233 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9994 loss: 0.9994 2022/08/01 11:09:03 - mmengine - INFO - Epoch(train) [98][320/940] lr: 1.0000e-04 eta: 0:27:08 time: 0.5591 data_time: 0.0642 memory: 8322 grad_norm: 4.7947 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0259 loss: 1.0259 2022/08/01 11:09:17 - mmengine - INFO - Epoch(train) [98][340/940] lr: 1.0000e-04 eta: 0:26:55 time: 0.6831 data_time: 0.0352 memory: 8322 grad_norm: 4.7609 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9732 loss: 0.9732 2022/08/01 11:09:29 - mmengine - INFO - Epoch(train) [98][360/940] lr: 1.0000e-04 eta: 0:26:42 time: 0.5857 data_time: 0.0359 memory: 8322 grad_norm: 4.7349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0302 loss: 1.0302 2022/08/01 11:09:44 - mmengine - INFO - Epoch(train) [98][380/940] lr: 1.0000e-04 eta: 0:26:29 time: 0.7645 data_time: 0.0606 memory: 8322 grad_norm: 4.8460 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0308 loss: 1.0308 2022/08/01 11:09:56 - mmengine - INFO - Epoch(train) [98][400/940] lr: 1.0000e-04 eta: 0:26:16 time: 0.5796 data_time: 0.0392 memory: 8322 grad_norm: 4.7437 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.9538 loss: 0.9538 2022/08/01 11:10:10 - mmengine - INFO - Epoch(train) [98][420/940] lr: 1.0000e-04 eta: 0:26:03 time: 0.7113 data_time: 0.0371 memory: 8322 grad_norm: 4.7336 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9557 loss: 0.9557 2022/08/01 11:10:21 - mmengine - INFO - Epoch(train) [98][440/940] lr: 1.0000e-04 eta: 0:25:50 time: 0.5404 data_time: 0.0360 memory: 8322 grad_norm: 4.9496 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0489 loss: 1.0489 2022/08/01 11:10:35 - mmengine - INFO - Epoch(train) [98][460/940] lr: 1.0000e-04 eta: 0:25:37 time: 0.6877 data_time: 0.0333 memory: 8322 grad_norm: 4.7342 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0377 loss: 1.0377 2022/08/01 11:10:46 - mmengine - INFO - Epoch(train) [98][480/940] lr: 1.0000e-04 eta: 0:25:24 time: 0.5804 data_time: 0.0322 memory: 8322 grad_norm: 4.8161 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1266 loss: 1.1266 2022/08/01 11:11:00 - mmengine - INFO - Epoch(train) [98][500/940] lr: 1.0000e-04 eta: 0:25:11 time: 0.6828 data_time: 0.0514 memory: 8322 grad_norm: 4.9232 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9902 loss: 0.9902 2022/08/01 11:11:12 - mmengine - INFO - Epoch(train) [98][520/940] lr: 1.0000e-04 eta: 0:24:58 time: 0.6203 data_time: 0.0385 memory: 8322 grad_norm: 4.7193 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0312 loss: 1.0312 2022/08/01 11:11:25 - mmengine - INFO - Epoch(train) [98][540/940] lr: 1.0000e-04 eta: 0:24:45 time: 0.6611 data_time: 0.0364 memory: 8322 grad_norm: 4.8187 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9289 loss: 0.9289 2022/08/01 11:11:38 - mmengine - INFO - Epoch(train) [98][560/940] lr: 1.0000e-04 eta: 0:24:32 time: 0.6207 data_time: 0.0815 memory: 8322 grad_norm: 4.7634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9786 loss: 0.9786 2022/08/01 11:11:52 - mmengine - INFO - Epoch(train) [98][580/940] lr: 1.0000e-04 eta: 0:24:18 time: 0.6806 data_time: 0.0643 memory: 8322 grad_norm: 4.9632 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0715 loss: 1.0715 2022/08/01 11:12:04 - mmengine - INFO - Epoch(train) [98][600/940] lr: 1.0000e-04 eta: 0:24:05 time: 0.6334 data_time: 0.1426 memory: 8322 grad_norm: 4.8001 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0914 loss: 1.0914 2022/08/01 11:12:15 - mmengine - INFO - Epoch(train) [98][620/940] lr: 1.0000e-04 eta: 0:23:52 time: 0.5465 data_time: 0.0277 memory: 8322 grad_norm: 4.6676 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.9272 loss: 0.9272 2022/08/01 11:12:29 - mmengine - INFO - Epoch(train) [98][640/940] lr: 1.0000e-04 eta: 0:23:39 time: 0.6839 data_time: 0.0368 memory: 8322 grad_norm: 4.8824 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0015 loss: 1.0015 2022/08/01 11:12:41 - mmengine - INFO - Epoch(train) [98][660/940] lr: 1.0000e-04 eta: 0:23:26 time: 0.6002 data_time: 0.0319 memory: 8322 grad_norm: 4.6637 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9372 loss: 0.9372 2022/08/01 11:12:55 - mmengine - INFO - Epoch(train) [98][680/940] lr: 1.0000e-04 eta: 0:23:13 time: 0.6965 data_time: 0.0355 memory: 8322 grad_norm: 4.8801 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/08/01 11:13:07 - mmengine - INFO - Epoch(train) [98][700/940] lr: 1.0000e-04 eta: 0:23:00 time: 0.6123 data_time: 0.0295 memory: 8322 grad_norm: 4.7793 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/08/01 11:13:20 - mmengine - INFO - Epoch(train) [98][720/940] lr: 1.0000e-04 eta: 0:22:47 time: 0.6683 data_time: 0.1503 memory: 8322 grad_norm: 4.8631 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9459 loss: 0.9459 2022/08/01 11:13:33 - mmengine - INFO - Epoch(train) [98][740/940] lr: 1.0000e-04 eta: 0:22:34 time: 0.6393 data_time: 0.1229 memory: 8322 grad_norm: 4.8977 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0280 loss: 1.0280 2022/08/01 11:13:47 - mmengine - INFO - Epoch(train) [98][760/940] lr: 1.0000e-04 eta: 0:22:21 time: 0.6919 data_time: 0.2359 memory: 8322 grad_norm: 4.7940 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0593 loss: 1.0593 2022/08/01 11:14:00 - mmengine - INFO - Epoch(train) [98][780/940] lr: 1.0000e-04 eta: 0:22:08 time: 0.6558 data_time: 0.1460 memory: 8322 grad_norm: 4.8389 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0094 loss: 1.0094 2022/08/01 11:14:13 - mmengine - INFO - Epoch(train) [98][800/940] lr: 1.0000e-04 eta: 0:21:55 time: 0.6442 data_time: 0.1691 memory: 8322 grad_norm: 4.7988 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.0332 loss: 1.0332 2022/08/01 11:14:27 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 11:14:27 - mmengine - INFO - Epoch(train) [98][820/940] lr: 1.0000e-04 eta: 0:21:42 time: 0.6906 data_time: 0.0745 memory: 8322 grad_norm: 4.7702 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0137 loss: 1.0137 2022/08/01 11:14:38 - mmengine - INFO - Epoch(train) [98][840/940] lr: 1.0000e-04 eta: 0:21:29 time: 0.5744 data_time: 0.0878 memory: 8322 grad_norm: 4.8502 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0127 loss: 1.0127 2022/08/01 11:14:52 - mmengine - INFO - Epoch(train) [98][860/940] lr: 1.0000e-04 eta: 0:21:16 time: 0.6984 data_time: 0.0324 memory: 8322 grad_norm: 4.7707 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1859 loss: 1.1859 2022/08/01 11:15:04 - mmengine - INFO - Epoch(train) [98][880/940] lr: 1.0000e-04 eta: 0:21:03 time: 0.5807 data_time: 0.1565 memory: 8322 grad_norm: 4.8673 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0254 loss: 1.0254 2022/08/01 11:15:18 - mmengine - INFO - Epoch(train) [98][900/940] lr: 1.0000e-04 eta: 0:20:50 time: 0.7057 data_time: 0.1906 memory: 8322 grad_norm: 4.8608 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1316 loss: 1.1316 2022/08/01 11:15:31 - mmengine - INFO - Epoch(train) [98][920/940] lr: 1.0000e-04 eta: 0:20:37 time: 0.6501 data_time: 0.2414 memory: 8322 grad_norm: 4.8339 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0503 loss: 1.0503 2022/08/01 11:15:41 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 11:15:41 - mmengine - INFO - Epoch(train) [98][940/940] lr: 1.0000e-04 eta: 0:20:24 time: 0.5029 data_time: 0.2200 memory: 8322 grad_norm: 5.1486 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.0779 loss: 1.0779 2022/08/01 11:15:56 - mmengine - INFO - Epoch(val) [98][20/78] eta: 0:00:42 time: 0.7380 data_time: 0.6701 memory: 1463 2022/08/01 11:16:04 - mmengine - INFO - Epoch(val) [98][40/78] eta: 0:00:15 time: 0.4110 data_time: 0.3482 memory: 1463 2022/08/01 11:16:17 - mmengine - INFO - Epoch(val) [98][60/78] eta: 0:00:11 time: 0.6316 data_time: 0.5604 memory: 1463 2022/08/01 11:16:27 - mmengine - INFO - Epoch(val) [98][78/78] acc/top1: 0.6925 acc/top5: 0.8841 acc/mean1: 0.6924 2022/08/01 11:16:43 - mmengine - INFO - Epoch(train) [99][20/940] lr: 1.0000e-04 eta: 0:20:11 time: 0.8013 data_time: 0.4989 memory: 8322 grad_norm: 4.8745 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9497 loss: 0.9497 2022/08/01 11:16:55 - mmengine - INFO - Epoch(train) [99][40/940] lr: 1.0000e-04 eta: 0:19:58 time: 0.5535 data_time: 0.2326 memory: 8322 grad_norm: 4.8291 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9885 loss: 0.9885 2022/08/01 11:17:09 - mmengine - INFO - Epoch(train) [99][60/940] lr: 1.0000e-04 eta: 0:19:45 time: 0.7167 data_time: 0.4091 memory: 8322 grad_norm: 4.7916 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0406 loss: 1.0406 2022/08/01 11:17:20 - mmengine - INFO - Epoch(train) [99][80/940] lr: 1.0000e-04 eta: 0:19:32 time: 0.5759 data_time: 0.2807 memory: 8322 grad_norm: 4.8377 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1293 loss: 1.1293 2022/08/01 11:17:35 - mmengine - INFO - Epoch(train) [99][100/940] lr: 1.0000e-04 eta: 0:19:19 time: 0.7050 data_time: 0.3366 memory: 8322 grad_norm: 4.8435 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0916 loss: 1.0916 2022/08/01 11:17:46 - mmengine - INFO - Epoch(train) [99][120/940] lr: 1.0000e-04 eta: 0:19:06 time: 0.5510 data_time: 0.1709 memory: 8322 grad_norm: 4.8222 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9839 loss: 0.9839 2022/08/01 11:17:59 - mmengine - INFO - Epoch(train) [99][140/940] lr: 1.0000e-04 eta: 0:18:53 time: 0.6801 data_time: 0.2885 memory: 8322 grad_norm: 4.8266 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0825 loss: 1.0825 2022/08/01 11:18:10 - mmengine - INFO - Epoch(train) [99][160/940] lr: 1.0000e-04 eta: 0:18:40 time: 0.5564 data_time: 0.1645 memory: 8322 grad_norm: 4.7803 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0839 loss: 1.0839 2022/08/01 11:18:24 - mmengine - INFO - Epoch(train) [99][180/940] lr: 1.0000e-04 eta: 0:18:27 time: 0.7038 data_time: 0.1924 memory: 8322 grad_norm: 4.8578 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1095 loss: 1.1095 2022/08/01 11:18:36 - mmengine - INFO - Epoch(train) [99][200/940] lr: 1.0000e-04 eta: 0:18:14 time: 0.5558 data_time: 0.0390 memory: 8322 grad_norm: 4.8001 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9688 loss: 0.9688 2022/08/01 11:18:50 - mmengine - INFO - Epoch(train) [99][220/940] lr: 1.0000e-04 eta: 0:18:01 time: 0.7096 data_time: 0.0472 memory: 8322 grad_norm: 5.0049 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9701 loss: 0.9701 2022/08/01 11:19:01 - mmengine - INFO - Epoch(train) [99][240/940] lr: 1.0000e-04 eta: 0:17:48 time: 0.5776 data_time: 0.0602 memory: 8322 grad_norm: 4.8771 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9820 loss: 0.9820 2022/08/01 11:19:15 - mmengine - INFO - Epoch(train) [99][260/940] lr: 1.0000e-04 eta: 0:17:35 time: 0.7036 data_time: 0.0447 memory: 8322 grad_norm: 4.8655 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0304 loss: 1.0304 2022/08/01 11:19:27 - mmengine - INFO - Epoch(train) [99][280/940] lr: 1.0000e-04 eta: 0:17:21 time: 0.5623 data_time: 0.0253 memory: 8322 grad_norm: 4.9306 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0627 loss: 1.0627 2022/08/01 11:19:41 - mmengine - INFO - Epoch(train) [99][300/940] lr: 1.0000e-04 eta: 0:17:08 time: 0.7131 data_time: 0.0346 memory: 8322 grad_norm: 4.8593 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0050 loss: 1.0050 2022/08/01 11:19:52 - mmengine - INFO - Epoch(train) [99][320/940] lr: 1.0000e-04 eta: 0:16:55 time: 0.5482 data_time: 0.0261 memory: 8322 grad_norm: 4.6991 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9450 loss: 0.9450 2022/08/01 11:20:06 - mmengine - INFO - Epoch(train) [99][340/940] lr: 1.0000e-04 eta: 0:16:42 time: 0.7180 data_time: 0.0361 memory: 8322 grad_norm: 4.8436 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0188 loss: 1.0188 2022/08/01 11:20:19 - mmengine - INFO - Epoch(train) [99][360/940] lr: 1.0000e-04 eta: 0:16:29 time: 0.6347 data_time: 0.0251 memory: 8322 grad_norm: 4.9423 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9815 loss: 0.9815 2022/08/01 11:20:33 - mmengine - INFO - Epoch(train) [99][380/940] lr: 1.0000e-04 eta: 0:16:16 time: 0.7077 data_time: 0.0319 memory: 8322 grad_norm: 4.8272 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0069 loss: 1.0069 2022/08/01 11:20:45 - mmengine - INFO - Epoch(train) [99][400/940] lr: 1.0000e-04 eta: 0:16:03 time: 0.6177 data_time: 0.0258 memory: 8322 grad_norm: 4.8381 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9586 loss: 0.9586 2022/08/01 11:20:58 - mmengine - INFO - Epoch(train) [99][420/940] lr: 1.0000e-04 eta: 0:15:50 time: 0.6247 data_time: 0.0342 memory: 8322 grad_norm: 4.8597 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1106 loss: 1.1106 2022/08/01 11:21:12 - mmengine - INFO - Epoch(train) [99][440/940] lr: 1.0000e-04 eta: 0:15:37 time: 0.6927 data_time: 0.0342 memory: 8322 grad_norm: 4.9273 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0352 loss: 1.0352 2022/08/01 11:21:24 - mmengine - INFO - Epoch(train) [99][460/940] lr: 1.0000e-04 eta: 0:15:24 time: 0.6223 data_time: 0.0382 memory: 8322 grad_norm: 4.7670 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0005 loss: 1.0005 2022/08/01 11:21:38 - mmengine - INFO - Epoch(train) [99][480/940] lr: 1.0000e-04 eta: 0:15:11 time: 0.6766 data_time: 0.0520 memory: 8322 grad_norm: 4.8002 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0292 loss: 1.0292 2022/08/01 11:21:50 - mmengine - INFO - Epoch(train) [99][500/940] lr: 1.0000e-04 eta: 0:14:58 time: 0.6026 data_time: 0.0376 memory: 8322 grad_norm: 4.8242 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0827 loss: 1.0827 2022/08/01 11:22:03 - mmengine - INFO - Epoch(train) [99][520/940] lr: 1.0000e-04 eta: 0:14:45 time: 0.6352 data_time: 0.0379 memory: 8322 grad_norm: 4.7861 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.8941 loss: 0.8941 2022/08/01 11:22:14 - mmengine - INFO - Epoch(train) [99][540/940] lr: 1.0000e-04 eta: 0:14:32 time: 0.5812 data_time: 0.0346 memory: 8322 grad_norm: 4.8126 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0021 loss: 1.0021 2022/08/01 11:22:28 - mmengine - INFO - Epoch(train) [99][560/940] lr: 1.0000e-04 eta: 0:14:19 time: 0.6951 data_time: 0.0402 memory: 8322 grad_norm: 4.8972 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0155 loss: 1.0155 2022/08/01 11:22:41 - mmengine - INFO - Epoch(train) [99][580/940] lr: 1.0000e-04 eta: 0:14:06 time: 0.6279 data_time: 0.0339 memory: 8322 grad_norm: 4.8040 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.9527 loss: 0.9527 2022/08/01 11:22:54 - mmengine - INFO - Epoch(train) [99][600/940] lr: 1.0000e-04 eta: 0:13:53 time: 0.6770 data_time: 0.0384 memory: 8322 grad_norm: 4.8958 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0600 loss: 1.0600 2022/08/01 11:23:07 - mmengine - INFO - Epoch(train) [99][620/940] lr: 1.0000e-04 eta: 0:13:40 time: 0.6202 data_time: 0.0355 memory: 8322 grad_norm: 4.9198 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1326 loss: 1.1326 2022/08/01 11:23:20 - mmengine - INFO - Epoch(train) [99][640/940] lr: 1.0000e-04 eta: 0:13:27 time: 0.6588 data_time: 0.0370 memory: 8322 grad_norm: 4.9255 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9811 loss: 0.9811 2022/08/01 11:23:32 - mmengine - INFO - Epoch(train) [99][660/940] lr: 1.0000e-04 eta: 0:13:14 time: 0.6231 data_time: 0.0347 memory: 8322 grad_norm: 4.9334 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0962 loss: 1.0962 2022/08/01 11:23:46 - mmengine - INFO - Epoch(train) [99][680/940] lr: 1.0000e-04 eta: 0:13:01 time: 0.6637 data_time: 0.0404 memory: 8322 grad_norm: 4.8627 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9802 loss: 0.9802 2022/08/01 11:23:57 - mmengine - INFO - Epoch(train) [99][700/940] lr: 1.0000e-04 eta: 0:12:48 time: 0.5797 data_time: 0.0399 memory: 8322 grad_norm: 4.9362 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0361 loss: 1.0361 2022/08/01 11:24:12 - mmengine - INFO - Epoch(train) [99][720/940] lr: 1.0000e-04 eta: 0:12:35 time: 0.7131 data_time: 0.0438 memory: 8322 grad_norm: 4.9269 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9055 loss: 0.9055 2022/08/01 11:24:23 - mmengine - INFO - Epoch(train) [99][740/940] lr: 1.0000e-04 eta: 0:12:22 time: 0.5779 data_time: 0.0343 memory: 8322 grad_norm: 4.7560 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0454 loss: 1.0454 2022/08/01 11:24:37 - mmengine - INFO - Epoch(train) [99][760/940] lr: 1.0000e-04 eta: 0:12:09 time: 0.6764 data_time: 0.0388 memory: 8322 grad_norm: 4.8908 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0766 loss: 1.0766 2022/08/01 11:24:49 - mmengine - INFO - Epoch(train) [99][780/940] lr: 1.0000e-04 eta: 0:11:56 time: 0.6133 data_time: 0.0386 memory: 8322 grad_norm: 4.8641 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0614 loss: 1.0614 2022/08/01 11:25:03 - mmengine - INFO - Epoch(train) [99][800/940] lr: 1.0000e-04 eta: 0:11:43 time: 0.6871 data_time: 0.0385 memory: 8322 grad_norm: 4.8384 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9599 loss: 0.9599 2022/08/01 11:25:15 - mmengine - INFO - Epoch(train) [99][820/940] lr: 1.0000e-04 eta: 0:11:30 time: 0.5979 data_time: 0.0271 memory: 8322 grad_norm: 5.0190 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9803 loss: 0.9803 2022/08/01 11:25:28 - mmengine - INFO - Epoch(train) [99][840/940] lr: 1.0000e-04 eta: 0:11:17 time: 0.6755 data_time: 0.0471 memory: 8322 grad_norm: 4.9661 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0973 loss: 1.0973 2022/08/01 11:25:40 - mmengine - INFO - Epoch(train) [99][860/940] lr: 1.0000e-04 eta: 0:11:04 time: 0.5915 data_time: 0.0365 memory: 8322 grad_norm: 4.9240 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0642 loss: 1.0642 2022/08/01 11:25:55 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 11:25:55 - mmengine - INFO - Epoch(train) [99][880/940] lr: 1.0000e-04 eta: 0:10:51 time: 0.7320 data_time: 0.0392 memory: 8322 grad_norm: 4.7553 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0477 loss: 1.0477 2022/08/01 11:26:06 - mmengine - INFO - Epoch(train) [99][900/940] lr: 1.0000e-04 eta: 0:10:38 time: 0.5453 data_time: 0.0326 memory: 8322 grad_norm: 4.7932 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1853 loss: 1.1853 2022/08/01 11:26:21 - mmengine - INFO - Epoch(train) [99][920/940] lr: 1.0000e-04 eta: 0:10:25 time: 0.7730 data_time: 0.0347 memory: 8322 grad_norm: 4.9118 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9287 loss: 0.9287 2022/08/01 11:26:29 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 11:26:29 - mmengine - INFO - Epoch(train) [99][940/940] lr: 1.0000e-04 eta: 0:10:12 time: 0.4165 data_time: 0.0203 memory: 8322 grad_norm: 5.0953 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.0533 loss: 1.0533 2022/08/01 11:26:29 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/08/01 11:26:45 - mmengine - INFO - Epoch(val) [99][20/78] eta: 0:00:40 time: 0.7065 data_time: 0.6464 memory: 1463 2022/08/01 11:26:53 - mmengine - INFO - Epoch(val) [99][40/78] eta: 0:00:16 time: 0.4230 data_time: 0.3609 memory: 1463 2022/08/01 11:27:06 - mmengine - INFO - Epoch(val) [99][60/78] eta: 0:00:11 time: 0.6582 data_time: 0.5954 memory: 1463 2022/08/01 11:27:16 - mmengine - INFO - Epoch(val) [99][78/78] acc/top1: 0.6918 acc/top5: 0.8824 acc/mean1: 0.6917 2022/08/01 11:27:33 - mmengine - INFO - Epoch(train) [100][20/940] lr: 1.0000e-04 eta: 0:09:59 time: 0.8423 data_time: 0.5859 memory: 8322 grad_norm: 4.8805 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0406 loss: 1.0406 2022/08/01 11:27:43 - mmengine - INFO - Epoch(train) [100][40/940] lr: 1.0000e-04 eta: 0:09:46 time: 0.5195 data_time: 0.2706 memory: 8322 grad_norm: 4.7941 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9960 loss: 0.9960 2022/08/01 11:27:58 - mmengine - INFO - Epoch(train) [100][60/940] lr: 1.0000e-04 eta: 0:09:33 time: 0.7374 data_time: 0.4156 memory: 8322 grad_norm: 4.7625 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9832 loss: 0.9832 2022/08/01 11:28:09 - mmengine - INFO - Epoch(train) [100][80/940] lr: 1.0000e-04 eta: 0:09:20 time: 0.5347 data_time: 0.2607 memory: 8322 grad_norm: 4.8089 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9341 loss: 0.9341 2022/08/01 11:28:24 - mmengine - INFO - Epoch(train) [100][100/940] lr: 1.0000e-04 eta: 0:09:07 time: 0.7438 data_time: 0.3067 memory: 8322 grad_norm: 4.7869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0375 loss: 1.0375 2022/08/01 11:28:35 - mmengine - INFO - Epoch(train) [100][120/940] lr: 1.0000e-04 eta: 0:08:53 time: 0.5734 data_time: 0.0906 memory: 8322 grad_norm: 4.7909 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9675 loss: 0.9675 2022/08/01 11:28:51 - mmengine - INFO - Epoch(train) [100][140/940] lr: 1.0000e-04 eta: 0:08:40 time: 0.7629 data_time: 0.0481 memory: 8322 grad_norm: 4.8133 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1048 loss: 1.1048 2022/08/01 11:29:01 - mmengine - INFO - Epoch(train) [100][160/940] lr: 1.0000e-04 eta: 0:08:27 time: 0.5163 data_time: 0.0391 memory: 8322 grad_norm: 4.8338 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9122 loss: 0.9122 2022/08/01 11:29:16 - mmengine - INFO - Epoch(train) [100][180/940] lr: 1.0000e-04 eta: 0:08:14 time: 0.7543 data_time: 0.0435 memory: 8322 grad_norm: 4.8745 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1273 loss: 1.1273 2022/08/01 11:29:27 - mmengine - INFO - Epoch(train) [100][200/940] lr: 1.0000e-04 eta: 0:08:01 time: 0.5668 data_time: 0.0374 memory: 8322 grad_norm: 4.8700 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.1638 loss: 1.1638 2022/08/01 11:29:42 - mmengine - INFO - Epoch(train) [100][220/940] lr: 1.0000e-04 eta: 0:07:48 time: 0.7264 data_time: 0.0875 memory: 8322 grad_norm: 4.7501 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9374 loss: 0.9374 2022/08/01 11:29:52 - mmengine - INFO - Epoch(train) [100][240/940] lr: 1.0000e-04 eta: 0:07:35 time: 0.5326 data_time: 0.0604 memory: 8322 grad_norm: 4.8742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0990 loss: 1.0990 2022/08/01 11:30:07 - mmengine - INFO - Epoch(train) [100][260/940] lr: 1.0000e-04 eta: 0:07:22 time: 0.7156 data_time: 0.2767 memory: 8322 grad_norm: 4.7997 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9703 loss: 0.9703 2022/08/01 11:30:18 - mmengine - INFO - Epoch(train) [100][280/940] lr: 1.0000e-04 eta: 0:07:09 time: 0.5653 data_time: 0.1435 memory: 8322 grad_norm: 4.8105 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0550 loss: 1.0550 2022/08/01 11:30:32 - mmengine - INFO - Epoch(train) [100][300/940] lr: 1.0000e-04 eta: 0:06:56 time: 0.7085 data_time: 0.1283 memory: 8322 grad_norm: 4.7919 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9946 loss: 0.9946 2022/08/01 11:30:44 - mmengine - INFO - Epoch(train) [100][320/940] lr: 1.0000e-04 eta: 0:06:43 time: 0.5829 data_time: 0.1264 memory: 8322 grad_norm: 4.8552 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.9622 loss: 0.9622 2022/08/01 11:30:57 - mmengine - INFO - Epoch(train) [100][340/940] lr: 1.0000e-04 eta: 0:06:30 time: 0.6753 data_time: 0.2078 memory: 8322 grad_norm: 4.8553 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0505 loss: 1.0505 2022/08/01 11:31:09 - mmengine - INFO - Epoch(train) [100][360/940] lr: 1.0000e-04 eta: 0:06:17 time: 0.5854 data_time: 0.2084 memory: 8322 grad_norm: 4.8613 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0961 loss: 1.0961 2022/08/01 11:31:22 - mmengine - INFO - Epoch(train) [100][380/940] lr: 1.0000e-04 eta: 0:06:04 time: 0.6700 data_time: 0.3856 memory: 8322 grad_norm: 4.8659 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0666 loss: 1.0666 2022/08/01 11:31:34 - mmengine - INFO - Epoch(train) [100][400/940] lr: 1.0000e-04 eta: 0:05:51 time: 0.5710 data_time: 0.3106 memory: 8322 grad_norm: 4.8755 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9977 loss: 0.9977 2022/08/01 11:31:48 - mmengine - INFO - Epoch(train) [100][420/940] lr: 1.0000e-04 eta: 0:05:38 time: 0.7045 data_time: 0.4483 memory: 8322 grad_norm: 4.9279 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0402 loss: 1.0402 2022/08/01 11:31:59 - mmengine - INFO - Epoch(train) [100][440/940] lr: 1.0000e-04 eta: 0:05:25 time: 0.5687 data_time: 0.2239 memory: 8322 grad_norm: 4.8131 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0588 loss: 1.0588 2022/08/01 11:32:14 - mmengine - INFO - Epoch(train) [100][460/940] lr: 1.0000e-04 eta: 0:05:12 time: 0.7343 data_time: 0.3989 memory: 8322 grad_norm: 4.9225 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0652 loss: 1.0652 2022/08/01 11:32:25 - mmengine - INFO - Epoch(train) [100][480/940] lr: 1.0000e-04 eta: 0:04:59 time: 0.5618 data_time: 0.2356 memory: 8322 grad_norm: 4.8894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0724 loss: 1.0724 2022/08/01 11:32:40 - mmengine - INFO - Epoch(train) [100][500/940] lr: 1.0000e-04 eta: 0:04:46 time: 0.7468 data_time: 0.4759 memory: 8322 grad_norm: 4.8271 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9461 loss: 0.9461 2022/08/01 11:32:52 - mmengine - INFO - Epoch(train) [100][520/940] lr: 1.0000e-04 eta: 0:04:33 time: 0.5653 data_time: 0.3174 memory: 8322 grad_norm: 4.7664 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1146 loss: 1.1146 2022/08/01 11:33:07 - mmengine - INFO - Epoch(train) [100][540/940] lr: 1.0000e-04 eta: 0:04:20 time: 0.7835 data_time: 0.5453 memory: 8322 grad_norm: 4.9325 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0770 loss: 1.0770 2022/08/01 11:33:19 - mmengine - INFO - Epoch(train) [100][560/940] lr: 1.0000e-04 eta: 0:04:07 time: 0.5828 data_time: 0.2927 memory: 8322 grad_norm: 4.8341 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1579 loss: 1.1579 2022/08/01 11:33:32 - mmengine - INFO - Epoch(train) [100][580/940] lr: 1.0000e-04 eta: 0:03:54 time: 0.6432 data_time: 0.4048 memory: 8322 grad_norm: 4.8145 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0441 loss: 1.0441 2022/08/01 11:33:43 - mmengine - INFO - Epoch(train) [100][600/940] lr: 1.0000e-04 eta: 0:03:41 time: 0.5486 data_time: 0.3134 memory: 8322 grad_norm: 4.9265 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0796 loss: 1.0796 2022/08/01 11:33:58 - mmengine - INFO - Epoch(train) [100][620/940] lr: 1.0000e-04 eta: 0:03:28 time: 0.7375 data_time: 0.4839 memory: 8322 grad_norm: 4.8533 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9599 loss: 0.9599 2022/08/01 11:34:08 - mmengine - INFO - Epoch(train) [100][640/940] lr: 1.0000e-04 eta: 0:03:15 time: 0.5372 data_time: 0.3089 memory: 8322 grad_norm: 4.8428 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0945 loss: 1.0945 2022/08/01 11:34:24 - mmengine - INFO - Epoch(train) [100][660/940] lr: 1.0000e-04 eta: 0:03:02 time: 0.8053 data_time: 0.5385 memory: 8322 grad_norm: 4.8907 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0591 loss: 1.0591 2022/08/01 11:34:35 - mmengine - INFO - Epoch(train) [100][680/940] lr: 1.0000e-04 eta: 0:02:49 time: 0.5292 data_time: 0.3018 memory: 8322 grad_norm: 4.8226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0577 loss: 1.0577 2022/08/01 11:34:50 - mmengine - INFO - Epoch(train) [100][700/940] lr: 1.0000e-04 eta: 0:02:36 time: 0.7450 data_time: 0.4745 memory: 8322 grad_norm: 4.8402 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0177 loss: 1.0177 2022/08/01 11:35:01 - mmengine - INFO - Epoch(train) [100][720/940] lr: 1.0000e-04 eta: 0:02:23 time: 0.5518 data_time: 0.2915 memory: 8322 grad_norm: 4.8311 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9630 loss: 0.9630 2022/08/01 11:35:15 - mmengine - INFO - Epoch(train) [100][740/940] lr: 1.0000e-04 eta: 0:02:10 time: 0.6869 data_time: 0.4509 memory: 8322 grad_norm: 4.8291 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9924 loss: 0.9924 2022/08/01 11:35:26 - mmengine - INFO - Epoch(train) [100][760/940] lr: 1.0000e-04 eta: 0:01:57 time: 0.5583 data_time: 0.3040 memory: 8322 grad_norm: 4.7359 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8932 loss: 0.8932 2022/08/01 11:35:41 - mmengine - INFO - Epoch(train) [100][780/940] lr: 1.0000e-04 eta: 0:01:44 time: 0.7635 data_time: 0.4147 memory: 8322 grad_norm: 4.8145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9252 loss: 0.9252 2022/08/01 11:35:52 - mmengine - INFO - Epoch(train) [100][800/940] lr: 1.0000e-04 eta: 0:01:31 time: 0.5533 data_time: 0.2926 memory: 8322 grad_norm: 4.9232 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0190 loss: 1.0190 2022/08/01 11:36:06 - mmengine - INFO - Epoch(train) [100][820/940] lr: 1.0000e-04 eta: 0:01:18 time: 0.6946 data_time: 0.3728 memory: 8322 grad_norm: 4.8363 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0314 loss: 1.0314 2022/08/01 11:36:17 - mmengine - INFO - Epoch(train) [100][840/940] lr: 1.0000e-04 eta: 0:01:05 time: 0.5592 data_time: 0.2968 memory: 8322 grad_norm: 4.9211 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1396 loss: 1.1396 2022/08/01 11:36:33 - mmengine - INFO - Epoch(train) [100][860/940] lr: 1.0000e-04 eta: 0:00:52 time: 0.7881 data_time: 0.5155 memory: 8322 grad_norm: 4.8753 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0651 loss: 1.0651 2022/08/01 11:36:43 - mmengine - INFO - Epoch(train) [100][880/940] lr: 1.0000e-04 eta: 0:00:39 time: 0.5175 data_time: 0.2787 memory: 8322 grad_norm: 4.7927 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0137 loss: 1.0137 2022/08/01 11:36:57 - mmengine - INFO - Epoch(train) [100][900/940] lr: 1.0000e-04 eta: 0:00:26 time: 0.6770 data_time: 0.4207 memory: 8322 grad_norm: 4.8158 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8696 loss: 0.8696 2022/08/01 11:37:10 - mmengine - INFO - Epoch(train) [100][920/940] lr: 1.0000e-04 eta: 0:00:13 time: 0.6227 data_time: 0.2191 memory: 8322 grad_norm: 4.7574 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0066 loss: 1.0066 2022/08/01 11:37:21 - mmengine - INFO - Exp name: tsn_r50_1x1x3_100e_kinetics400_rgb_20220731_171415 2022/08/01 11:37:21 - mmengine - INFO - Epoch(train) [100][940/940] lr: 1.0000e-04 eta: 0:00:00 time: 0.5889 data_time: 0.3300 memory: 8322 grad_norm: 5.1517 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9478 loss: 0.9478 2022/08/01 11:37:21 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/01 11:37:36 - mmengine - INFO - Epoch(val) [100][20/78] eta: 0:00:39 time: 0.6840 data_time: 0.6231 memory: 1463 2022/08/01 11:37:45 - mmengine - INFO - Epoch(val) [100][40/78] eta: 0:00:16 time: 0.4362 data_time: 0.3745 memory: 1463 2022/08/01 11:37:58 - mmengine - INFO - Epoch(val) [100][60/78] eta: 0:00:11 time: 0.6525 data_time: 0.5870 memory: 1463 2022/08/01 11:38:07 - mmengine - INFO - Epoch(val) [100][78/78] acc/top1: 0.6914 acc/top5: 0.8842 acc/mean1: 0.6913