2022/08/04 17:20:02 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb by HardDiskBackend. 2022/08/04 17:21:53 - mmengine - INFO - Epoch(train) [1][20/940] lr: 1.0000e-02 eta: 6 days, 1:43:42 time: 5.5823 data_time: 3.7204 memory: 24014 grad_norm: 1.9106 top1_acc: 0.0312 top5_acc: 0.0312 loss_cls: 5.9545 loss: 5.9545 2022/08/04 17:22:23 - mmengine - INFO - Epoch(train) [1][40/940] lr: 1.0000e-02 eta: 3 days, 20:19:46 time: 1.4928 data_time: 0.0288 memory: 24014 grad_norm: 2.4766 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 5.6108 loss: 5.6108 2022/08/04 17:22:54 - mmengine - INFO - Epoch(train) [1][60/940] lr: 1.0000e-02 eta: 3 days, 3:11:10 time: 1.5689 data_time: 0.0213 memory: 24014 grad_norm: 5.5615 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 4.5375 loss: 4.5375 2022/08/04 17:23:11 - mmengine - INFO - Epoch(train) [1][80/940] lr: 1.0000e-02 eta: 2 days, 13:38:39 time: 0.8075 data_time: 0.0275 memory: 24014 grad_norm: 5.8737 top1_acc: 0.2812 top5_acc: 0.6875 loss_cls: 3.6087 loss: 3.6087 2022/08/04 17:23:27 - mmengine - INFO - Epoch(train) [1][100/940] lr: 1.0000e-02 eta: 2 days, 5:38:43 time: 0.8320 data_time: 0.0251 memory: 24014 grad_norm: 5.8252 top1_acc: 0.3125 top5_acc: 0.5938 loss_cls: 2.9534 loss: 2.9534 2022/08/04 17:23:53 - mmengine - INFO - Epoch(train) [1][120/940] lr: 1.0000e-02 eta: 2 days, 2:11:56 time: 1.2664 data_time: 0.0280 memory: 24014 grad_norm: 6.5370 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 3.1489 loss: 3.1489 2022/08/04 17:24:16 - mmengine - INFO - Epoch(train) [1][140/940] lr: 1.0000e-02 eta: 1 day, 23:20:43 time: 1.1617 data_time: 0.0279 memory: 24014 grad_norm: 5.9413 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8319 loss: 2.8319 2022/08/04 17:24:49 - mmengine - INFO - Epoch(train) [1][160/940] lr: 1.0000e-02 eta: 1 day, 22:51:27 time: 1.6694 data_time: 0.0216 memory: 24014 grad_norm: 6.5065 top1_acc: 0.4062 top5_acc: 0.6562 loss_cls: 2.6412 loss: 2.6412 2022/08/04 17:25:06 - mmengine - INFO - Epoch(train) [1][180/940] lr: 1.0000e-02 eta: 1 day, 20:08:13 time: 0.8615 data_time: 0.0322 memory: 24014 grad_norm: 5.7793 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 2.5090 loss: 2.5090 2022/08/04 17:25:21 - mmengine - INFO - Epoch(train) [1][200/940] lr: 1.0000e-02 eta: 1 day, 17:33:17 time: 0.7061 data_time: 0.0287 memory: 24014 grad_norm: 5.7903 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.4799 loss: 2.4799 2022/08/04 17:25:40 - mmengine - INFO - Epoch(train) [1][220/940] lr: 1.0000e-02 eta: 1 day, 16:03:06 time: 0.9639 data_time: 0.0363 memory: 24014 grad_norm: 6.0154 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.4407 loss: 2.4407 2022/08/04 17:25:53 - mmengine - INFO - Epoch(train) [1][240/940] lr: 1.0000e-02 eta: 1 day, 14:11:07 time: 0.6816 data_time: 0.0360 memory: 24014 grad_norm: 6.5207 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5011 loss: 2.5011 2022/08/04 17:26:06 - mmengine - INFO - Epoch(train) [1][260/940] lr: 1.0000e-02 eta: 1 day, 12:26:54 time: 0.6030 data_time: 0.0323 memory: 24014 grad_norm: 5.7712 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3093 loss: 2.3093 2022/08/04 17:26:17 - mmengine - INFO - Epoch(train) [1][280/940] lr: 1.0000e-02 eta: 1 day, 10:56:16 time: 0.5917 data_time: 0.0353 memory: 24014 grad_norm: 5.5084 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.2727 loss: 2.2727 2022/08/04 17:26:33 - mmengine - INFO - Epoch(train) [1][300/940] lr: 1.0000e-02 eta: 1 day, 9:57:12 time: 0.7790 data_time: 0.0285 memory: 24014 grad_norm: 6.1503 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1867 loss: 2.1867 2022/08/04 17:26:55 - mmengine - INFO - Epoch(train) [1][320/940] lr: 1.0000e-02 eta: 1 day, 9:37:01 time: 1.1022 data_time: 0.0285 memory: 24014 grad_norm: 5.3428 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3177 loss: 2.3177 2022/08/04 17:27:11 - mmengine - INFO - Epoch(train) [1][340/940] lr: 1.0000e-02 eta: 1 day, 8:50:32 time: 0.7902 data_time: 0.0284 memory: 24014 grad_norm: 5.0913 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.1799 loss: 2.1799 2022/08/04 17:27:27 - mmengine - INFO - Epoch(train) [1][360/940] lr: 1.0000e-02 eta: 1 day, 8:11:47 time: 0.8203 data_time: 0.0355 memory: 24014 grad_norm: 5.0173 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2473 loss: 2.2473 2022/08/04 17:27:41 - mmengine - INFO - Epoch(train) [1][380/940] lr: 1.0000e-02 eta: 1 day, 7:26:08 time: 0.6869 data_time: 0.0480 memory: 24014 grad_norm: 5.0487 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 2.1920 loss: 2.1920 2022/08/04 17:28:00 - mmengine - INFO - Epoch(train) [1][400/940] lr: 1.0000e-02 eta: 1 day, 7:04:23 time: 0.9352 data_time: 0.0240 memory: 24014 grad_norm: 4.6649 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1561 loss: 2.1561 2022/08/04 17:28:14 - mmengine - INFO - Epoch(train) [1][420/940] lr: 1.0000e-02 eta: 1 day, 6:28:43 time: 0.7202 data_time: 0.0309 memory: 24014 grad_norm: 5.3861 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0198 loss: 2.0198 2022/08/04 17:28:35 - mmengine - INFO - Epoch(train) [1][440/940] lr: 1.0000e-02 eta: 1 day, 6:18:10 time: 1.0291 data_time: 0.0256 memory: 24014 grad_norm: 5.3684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1168 loss: 2.1168 2022/08/04 17:28:49 - mmengine - INFO - Epoch(train) [1][460/940] lr: 1.0000e-02 eta: 1 day, 5:46:24 time: 0.7032 data_time: 0.0922 memory: 24014 grad_norm: 5.3875 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 2.1370 loss: 2.1370 2022/08/04 17:29:05 - mmengine - INFO - Epoch(train) [1][480/940] lr: 1.0000e-02 eta: 1 day, 5:24:12 time: 0.8098 data_time: 0.0214 memory: 24014 grad_norm: 5.7122 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 2.0002 loss: 2.0002 2022/08/04 17:29:24 - mmengine - INFO - Epoch(train) [1][500/940] lr: 1.0000e-02 eta: 1 day, 5:11:10 time: 0.9288 data_time: 0.0929 memory: 24014 grad_norm: 5.1770 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 2.0484 loss: 2.0484 2022/08/04 17:29:45 - mmengine - INFO - Epoch(train) [1][520/940] lr: 1.0000e-02 eta: 1 day, 5:07:48 time: 1.0739 data_time: 0.2259 memory: 24014 grad_norm: 5.4171 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 2.1901 loss: 2.1901 2022/08/04 17:30:00 - mmengine - INFO - Epoch(train) [1][540/940] lr: 1.0000e-02 eta: 1 day, 4:46:12 time: 0.7540 data_time: 0.0676 memory: 24014 grad_norm: 6.0028 top1_acc: 0.4375 top5_acc: 0.7188 loss_cls: 2.1952 loss: 2.1952 2022/08/04 17:30:14 - mmengine - INFO - Epoch(train) [1][560/940] lr: 1.0000e-02 eta: 1 day, 4:24:19 time: 0.7214 data_time: 0.0257 memory: 24014 grad_norm: 5.3582 top1_acc: 0.4688 top5_acc: 0.6250 loss_cls: 2.1401 loss: 2.1401 2022/08/04 17:30:34 - mmengine - INFO - Epoch(train) [1][580/940] lr: 1.0000e-02 eta: 1 day, 4:16:42 time: 0.9591 data_time: 0.0670 memory: 24014 grad_norm: 4.9586 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8898 loss: 1.8898 2022/08/04 17:30:49 - mmengine - INFO - Epoch(train) [1][600/940] lr: 1.0000e-02 eta: 1 day, 4:00:55 time: 0.7926 data_time: 0.0259 memory: 24014 grad_norm: 4.8372 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9737 loss: 1.9737 2022/08/04 17:31:03 - mmengine - INFO - Epoch(train) [1][620/940] lr: 1.0000e-02 eta: 1 day, 3:38:58 time: 0.6499 data_time: 0.0321 memory: 24014 grad_norm: 5.2202 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1113 loss: 2.1113 2022/08/04 17:31:15 - mmengine - INFO - Epoch(train) [1][640/940] lr: 1.0000e-02 eta: 1 day, 3:16:38 time: 0.6138 data_time: 0.0318 memory: 24014 grad_norm: 6.1396 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.8973 loss: 1.8973 2022/08/04 17:31:27 - mmengine - INFO - Epoch(train) [1][660/940] lr: 1.0000e-02 eta: 1 day, 2:55:44 time: 0.6159 data_time: 0.0349 memory: 24014 grad_norm: 5.8923 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 2.1274 loss: 2.1274 2022/08/04 17:31:41 - mmengine - INFO - Epoch(train) [1][680/940] lr: 1.0000e-02 eta: 1 day, 2:40:35 time: 0.7149 data_time: 0.0360 memory: 24014 grad_norm: 5.4809 top1_acc: 0.3750 top5_acc: 0.7812 loss_cls: 2.0902 loss: 2.0902 2022/08/04 17:31:53 - mmengine - INFO - Epoch(train) [1][700/940] lr: 1.0000e-02 eta: 1 day, 2:20:44 time: 0.5903 data_time: 0.0409 memory: 24014 grad_norm: 5.4644 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 2.0672 loss: 2.0672 2022/08/04 17:32:06 - mmengine - INFO - Epoch(train) [1][720/940] lr: 1.0000e-02 eta: 1 day, 2:04:30 time: 0.6484 data_time: 0.0458 memory: 24014 grad_norm: 5.4087 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 2.0001 loss: 2.0001 2022/08/04 17:32:18 - mmengine - INFO - Epoch(train) [1][740/940] lr: 1.0000e-02 eta: 1 day, 1:47:44 time: 0.6152 data_time: 0.0296 memory: 24014 grad_norm: 5.0670 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 2.0772 loss: 2.0772 2022/08/04 17:32:34 - mmengine - INFO - Epoch(train) [1][760/940] lr: 1.0000e-02 eta: 1 day, 1:39:15 time: 0.7963 data_time: 0.0312 memory: 24014 grad_norm: 4.6525 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9069 loss: 1.9069 2022/08/04 17:32:46 - mmengine - INFO - Epoch(train) [1][780/940] lr: 1.0000e-02 eta: 1 day, 1:23:07 time: 0.5940 data_time: 0.0270 memory: 24014 grad_norm: 5.3509 top1_acc: 0.4688 top5_acc: 0.6562 loss_cls: 1.9832 loss: 1.9832 2022/08/04 17:33:05 - mmengine - INFO - Epoch(train) [1][800/940] lr: 1.0000e-02 eta: 1 day, 1:20:54 time: 0.9319 data_time: 0.0222 memory: 24014 grad_norm: 4.9465 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.9019 loss: 1.9019 2022/08/04 17:33:22 - mmengine - INFO - Epoch(train) [1][820/940] lr: 1.0000e-02 eta: 1 day, 1:15:56 time: 0.8565 data_time: 0.0239 memory: 24014 grad_norm: 5.4049 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.9852 loss: 1.9852 2022/08/04 17:33:40 - mmengine - INFO - Epoch(train) [1][840/940] lr: 1.0000e-02 eta: 1 day, 1:12:36 time: 0.8947 data_time: 0.0299 memory: 24014 grad_norm: 5.2143 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.8634 loss: 1.8634 2022/08/04 17:33:58 - mmengine - INFO - Epoch(train) [1][860/940] lr: 1.0000e-02 eta: 1 day, 1:09:42 time: 0.9027 data_time: 0.0255 memory: 24014 grad_norm: 5.0305 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9708 loss: 1.9708 2022/08/04 17:34:11 - mmengine - INFO - Epoch(train) [1][880/940] lr: 1.0000e-02 eta: 1 day, 0:58:26 time: 0.6627 data_time: 0.0340 memory: 24014 grad_norm: 4.9515 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.9758 loss: 1.9758 2022/08/04 17:34:26 - mmengine - INFO - Epoch(train) [1][900/940] lr: 1.0000e-02 eta: 1 day, 0:49:31 time: 0.7162 data_time: 0.0440 memory: 24014 grad_norm: 4.6235 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0111 loss: 2.0111 2022/08/04 17:34:44 - mmengine - INFO - Epoch(train) [1][920/940] lr: 1.0000e-02 eta: 1 day, 0:47:39 time: 0.9143 data_time: 0.3368 memory: 24014 grad_norm: 4.4738 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.9106 loss: 1.9106 2022/08/04 17:34:59 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 17:34:59 - mmengine - INFO - Epoch(train) [1][940/940] lr: 1.0000e-02 eta: 1 day, 0:40:26 time: 0.7500 data_time: 0.0168 memory: 24014 grad_norm: 4.9843 top1_acc: 0.1429 top5_acc: 0.2857 loss_cls: 2.0705 loss: 2.0705 2022/08/04 17:36:44 - mmengine - INFO - Epoch(val) [1][20/78] eta: 0:05:04 time: 5.2443 data_time: 5.1015 memory: 3624 2022/08/04 17:37:01 - mmengine - INFO - Epoch(val) [1][40/78] eta: 0:00:32 time: 0.8535 data_time: 0.6972 memory: 3624 2022/08/04 17:37:24 - mmengine - INFO - Epoch(val) [1][60/78] eta: 0:00:20 time: 1.1345 data_time: 0.9913 memory: 3624 2022/08/04 17:37:37 - mmengine - INFO - Epoch(val) [1][78/78] acc/top1: 0.6319 acc/top5: 0.8594 acc/mean1: 0.6317 2022/08/04 17:37:41 - mmengine - INFO - The best checkpoint with 0.6319 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/04 17:37:57 - mmengine - INFO - Epoch(train) [2][20/940] lr: 1.0000e-02 eta: 1 day, 0:35:19 time: 0.8057 data_time: 0.2501 memory: 24011 grad_norm: 4.5114 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9289 loss: 1.9289 2022/08/04 17:38:09 - mmengine - INFO - Epoch(train) [2][40/940] lr: 1.0000e-02 eta: 1 day, 0:23:20 time: 0.5829 data_time: 0.0411 memory: 24011 grad_norm: 4.5511 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.7927 loss: 1.7927 2022/08/04 17:38:22 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 17:38:22 - mmengine - INFO - Epoch(train) [2][60/940] lr: 1.0000e-02 eta: 1 day, 0:13:43 time: 0.6437 data_time: 0.0869 memory: 24011 grad_norm: 4.5634 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7884 loss: 1.7884 2022/08/04 17:38:34 - mmengine - INFO - Epoch(train) [2][80/940] lr: 1.0000e-02 eta: 1 day, 0:04:01 time: 0.6292 data_time: 0.0759 memory: 24011 grad_norm: 4.6010 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8701 loss: 1.8701 2022/08/04 17:38:46 - mmengine - INFO - Epoch(train) [2][100/940] lr: 1.0000e-02 eta: 23:53:45 time: 0.5974 data_time: 0.0468 memory: 24011 grad_norm: 4.7788 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8168 loss: 1.8168 2022/08/04 17:38:59 - mmengine - INFO - Epoch(train) [2][120/940] lr: 1.0000e-02 eta: 23:44:38 time: 0.6240 data_time: 0.0609 memory: 24011 grad_norm: 4.6892 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.7782 loss: 1.7782 2022/08/04 17:39:11 - mmengine - INFO - Epoch(train) [2][140/940] lr: 1.0000e-02 eta: 23:35:15 time: 0.6031 data_time: 0.0478 memory: 24011 grad_norm: 4.6925 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.8222 loss: 1.8222 2022/08/04 17:39:25 - mmengine - INFO - Epoch(train) [2][160/940] lr: 1.0000e-02 eta: 23:28:45 time: 0.6942 data_time: 0.1053 memory: 24011 grad_norm: 5.6498 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7774 loss: 1.7774 2022/08/04 17:39:38 - mmengine - INFO - Epoch(train) [2][180/940] lr: 1.0000e-02 eta: 23:22:20 time: 0.6888 data_time: 0.0463 memory: 24011 grad_norm: 5.1353 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.9136 loss: 1.9136 2022/08/04 17:39:50 - mmengine - INFO - Epoch(train) [2][200/940] lr: 1.0000e-02 eta: 23:13:39 time: 0.5970 data_time: 0.0347 memory: 24011 grad_norm: 5.0481 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.9170 loss: 1.9170 2022/08/04 17:40:03 - mmengine - INFO - Epoch(train) [2][220/940] lr: 1.0000e-02 eta: 23:06:18 time: 0.6360 data_time: 0.0361 memory: 24011 grad_norm: 5.7929 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7952 loss: 1.7952 2022/08/04 17:40:16 - mmengine - INFO - Epoch(train) [2][240/940] lr: 1.0000e-02 eta: 22:59:35 time: 0.6515 data_time: 0.0471 memory: 24011 grad_norm: 5.7096 top1_acc: 0.4688 top5_acc: 0.7188 loss_cls: 1.9859 loss: 1.9859 2022/08/04 17:40:28 - mmengine - INFO - Epoch(train) [2][260/940] lr: 1.0000e-02 eta: 22:52:18 time: 0.6206 data_time: 0.0323 memory: 24011 grad_norm: 4.7405 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.6091 loss: 1.6091 2022/08/04 17:40:41 - mmengine - INFO - Epoch(train) [2][280/940] lr: 1.0000e-02 eta: 22:45:34 time: 0.6334 data_time: 0.0313 memory: 24011 grad_norm: 6.0611 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.9688 loss: 1.9688 2022/08/04 17:40:54 - mmengine - INFO - Epoch(train) [2][300/940] lr: 1.0000e-02 eta: 22:39:08 time: 0.6369 data_time: 0.0340 memory: 24011 grad_norm: 5.2104 top1_acc: 0.5312 top5_acc: 0.6875 loss_cls: 1.9024 loss: 1.9024 2022/08/04 17:41:06 - mmengine - INFO - Epoch(train) [2][320/940] lr: 1.0000e-02 eta: 22:31:34 time: 0.5828 data_time: 0.0349 memory: 24011 grad_norm: 5.1030 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8046 loss: 1.8046 2022/08/04 17:41:18 - mmengine - INFO - Epoch(train) [2][340/940] lr: 1.0000e-02 eta: 22:25:15 time: 0.6246 data_time: 0.0319 memory: 24011 grad_norm: 5.3065 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7209 loss: 1.7209 2022/08/04 17:41:30 - mmengine - INFO - Epoch(train) [2][360/940] lr: 1.0000e-02 eta: 22:18:53 time: 0.6146 data_time: 0.0368 memory: 24011 grad_norm: 5.1436 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8355 loss: 1.8355 2022/08/04 17:41:42 - mmengine - INFO - Epoch(train) [2][380/940] lr: 1.0000e-02 eta: 22:12:26 time: 0.6035 data_time: 0.0371 memory: 24011 grad_norm: 5.1579 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6737 loss: 1.6737 2022/08/04 17:41:55 - mmengine - INFO - Epoch(train) [2][400/940] lr: 1.0000e-02 eta: 22:07:02 time: 0.6408 data_time: 0.0430 memory: 24011 grad_norm: 5.1649 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.9128 loss: 1.9128 2022/08/04 17:42:08 - mmengine - INFO - Epoch(train) [2][420/940] lr: 1.0000e-02 eta: 22:02:07 time: 0.6558 data_time: 0.0297 memory: 24011 grad_norm: 6.1088 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.9672 loss: 1.9672 2022/08/04 17:42:21 - mmengine - INFO - Epoch(train) [2][440/940] lr: 1.0000e-02 eta: 21:56:23 time: 0.6127 data_time: 0.0377 memory: 24011 grad_norm: 4.7518 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.8648 loss: 1.8648 2022/08/04 17:42:33 - mmengine - INFO - Epoch(train) [2][460/940] lr: 1.0000e-02 eta: 21:51:28 time: 0.6424 data_time: 0.0592 memory: 24011 grad_norm: 4.5503 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8957 loss: 1.8957 2022/08/04 17:42:46 - mmengine - INFO - Epoch(train) [2][480/940] lr: 1.0000e-02 eta: 21:46:09 time: 0.6184 data_time: 0.0405 memory: 24011 grad_norm: 4.5072 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.8300 loss: 1.8300 2022/08/04 17:42:59 - mmengine - INFO - Epoch(train) [2][500/940] lr: 1.0000e-02 eta: 21:41:52 time: 0.6598 data_time: 0.0959 memory: 24011 grad_norm: 4.6682 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8640 loss: 1.8640 2022/08/04 17:43:11 - mmengine - INFO - Epoch(train) [2][520/940] lr: 1.0000e-02 eta: 21:36:33 time: 0.6054 data_time: 0.0403 memory: 24011 grad_norm: 4.8497 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7706 loss: 1.7706 2022/08/04 17:43:24 - mmengine - INFO - Epoch(train) [2][540/940] lr: 1.0000e-02 eta: 21:32:03 time: 0.6386 data_time: 0.0753 memory: 24011 grad_norm: 4.6460 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.8752 loss: 1.8752 2022/08/04 17:43:37 - mmengine - INFO - Epoch(train) [2][560/940] lr: 1.0000e-02 eta: 21:27:38 time: 0.6365 data_time: 0.0880 memory: 24011 grad_norm: 4.1485 top1_acc: 0.5312 top5_acc: 0.6562 loss_cls: 1.7327 loss: 1.7327 2022/08/04 17:43:49 - mmengine - INFO - Epoch(train) [2][580/940] lr: 1.0000e-02 eta: 21:22:50 time: 0.6123 data_time: 0.0443 memory: 24011 grad_norm: 4.8435 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7773 loss: 1.7773 2022/08/04 17:44:02 - mmengine - INFO - Epoch(train) [2][600/940] lr: 1.0000e-02 eta: 21:18:51 time: 0.6470 data_time: 0.0614 memory: 24011 grad_norm: 4.2349 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.8699 loss: 1.8699 2022/08/04 17:44:14 - mmengine - INFO - Epoch(train) [2][620/940] lr: 1.0000e-02 eta: 21:13:51 time: 0.5904 data_time: 0.0281 memory: 24011 grad_norm: 4.7913 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8324 loss: 1.8324 2022/08/04 17:44:26 - mmengine - INFO - Epoch(train) [2][640/940] lr: 1.0000e-02 eta: 21:09:08 time: 0.5990 data_time: 0.0385 memory: 24011 grad_norm: 5.5708 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.8786 loss: 1.8786 2022/08/04 17:44:38 - mmengine - INFO - Epoch(train) [2][660/940] lr: 1.0000e-02 eta: 21:05:15 time: 0.6367 data_time: 0.0759 memory: 24011 grad_norm: 5.3351 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.8655 loss: 1.8655 2022/08/04 17:44:51 - mmengine - INFO - Epoch(train) [2][680/940] lr: 1.0000e-02 eta: 21:00:57 time: 0.6102 data_time: 0.0481 memory: 24011 grad_norm: 5.2450 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7929 loss: 1.7929 2022/08/04 17:45:03 - mmengine - INFO - Epoch(train) [2][700/940] lr: 1.0000e-02 eta: 20:57:12 time: 0.6336 data_time: 0.0639 memory: 24011 grad_norm: 4.4616 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.8085 loss: 1.8085 2022/08/04 17:45:16 - mmengine - INFO - Epoch(train) [2][720/940] lr: 1.0000e-02 eta: 20:53:18 time: 0.6206 data_time: 0.0447 memory: 24011 grad_norm: 4.9502 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8915 loss: 1.8915 2022/08/04 17:45:27 - mmengine - INFO - Epoch(train) [2][740/940] lr: 1.0000e-02 eta: 20:48:42 time: 0.5784 data_time: 0.0228 memory: 24011 grad_norm: 4.9727 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7598 loss: 1.7598 2022/08/04 17:45:40 - mmengine - INFO - Epoch(train) [2][760/940] lr: 1.0000e-02 eta: 20:45:02 time: 0.6235 data_time: 0.0415 memory: 24011 grad_norm: 4.4298 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6858 loss: 1.6858 2022/08/04 17:45:52 - mmengine - INFO - Epoch(train) [2][780/940] lr: 1.0000e-02 eta: 20:41:43 time: 0.6390 data_time: 0.0568 memory: 24011 grad_norm: 4.7233 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.8165 loss: 1.8165 2022/08/04 17:46:05 - mmengine - INFO - Epoch(train) [2][800/940] lr: 1.0000e-02 eta: 20:37:59 time: 0.6118 data_time: 0.0541 memory: 24011 grad_norm: 4.7574 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8793 loss: 1.8793 2022/08/04 17:46:17 - mmengine - INFO - Epoch(train) [2][820/940] lr: 1.0000e-02 eta: 20:34:30 time: 0.6209 data_time: 0.0242 memory: 24011 grad_norm: 4.4895 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7187 loss: 1.7187 2022/08/04 17:46:30 - mmengine - INFO - Epoch(train) [2][840/940] lr: 1.0000e-02 eta: 20:31:15 time: 0.6300 data_time: 0.0393 memory: 24011 grad_norm: 4.3141 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8200 loss: 1.8200 2022/08/04 17:46:43 - mmengine - INFO - Epoch(train) [2][860/940] lr: 1.0000e-02 eta: 20:28:15 time: 0.6412 data_time: 0.0271 memory: 24011 grad_norm: 4.4984 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.7488 loss: 1.7488 2022/08/04 17:46:55 - mmengine - INFO - Epoch(train) [2][880/940] lr: 1.0000e-02 eta: 20:24:58 time: 0.6206 data_time: 0.0381 memory: 24011 grad_norm: 4.4833 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7695 loss: 1.7695 2022/08/04 17:47:08 - mmengine - INFO - Epoch(train) [2][900/940] lr: 1.0000e-02 eta: 20:22:06 time: 0.6417 data_time: 0.0289 memory: 24011 grad_norm: 4.4320 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7193 loss: 1.7193 2022/08/04 17:47:20 - mmengine - INFO - Epoch(train) [2][920/940] lr: 1.0000e-02 eta: 20:19:06 time: 0.6297 data_time: 0.0332 memory: 24011 grad_norm: 4.3267 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.8475 loss: 1.8475 2022/08/04 17:47:31 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 17:47:31 - mmengine - INFO - Epoch(train) [2][940/940] lr: 1.0000e-02 eta: 20:14:38 time: 0.5368 data_time: 0.0262 memory: 24011 grad_norm: 4.6727 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.7573 loss: 1.7573 2022/08/04 17:47:45 - mmengine - INFO - Epoch(val) [2][20/78] eta: 0:00:39 time: 0.6888 data_time: 0.5337 memory: 3625 2022/08/04 17:47:54 - mmengine - INFO - Epoch(val) [2][40/78] eta: 0:00:16 time: 0.4278 data_time: 0.2740 memory: 3625 2022/08/04 17:48:06 - mmengine - INFO - Epoch(val) [2][60/78] eta: 0:00:11 time: 0.6167 data_time: 0.4361 memory: 3625 2022/08/04 17:48:16 - mmengine - INFO - Epoch(val) [2][78/78] acc/top1: 0.6602 acc/top5: 0.8758 acc/mean1: 0.6599 2022/08/04 17:48:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_2.pth is removed 2022/08/04 17:48:19 - mmengine - INFO - The best checkpoint with 0.6602 acc/top1 at 3 epoch is saved to best_acc/top1_epoch_3.pth. 2022/08/04 17:48:36 - mmengine - INFO - Epoch(train) [3][20/940] lr: 1.0000e-02 eta: 20:15:01 time: 0.8318 data_time: 0.2775 memory: 24011 grad_norm: 4.5178 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.8023 loss: 1.8023 2022/08/04 17:48:47 - mmengine - INFO - Epoch(train) [3][40/940] lr: 1.0000e-02 eta: 20:11:13 time: 0.5701 data_time: 0.0265 memory: 24011 grad_norm: 5.9732 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.7308 loss: 1.7308 2022/08/04 17:49:00 - mmengine - INFO - Epoch(train) [3][60/940] lr: 1.0000e-02 eta: 20:08:27 time: 0.6304 data_time: 0.0394 memory: 24011 grad_norm: 4.9252 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.7851 loss: 1.7851 2022/08/04 17:49:13 - mmengine - INFO - Epoch(train) [3][80/940] lr: 1.0000e-02 eta: 20:05:55 time: 0.6426 data_time: 0.0481 memory: 24011 grad_norm: 4.7561 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7170 loss: 1.7170 2022/08/04 17:49:25 - mmengine - INFO - Epoch(train) [3][100/940] lr: 1.0000e-02 eta: 20:02:48 time: 0.6018 data_time: 0.0373 memory: 24011 grad_norm: 4.7069 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.8041 loss: 1.8041 2022/08/04 17:49:37 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 17:49:37 - mmengine - INFO - Epoch(train) [3][120/940] lr: 1.0000e-02 eta: 19:59:48 time: 0.6058 data_time: 0.0346 memory: 24011 grad_norm: 4.4814 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.7734 loss: 1.7734 2022/08/04 17:49:50 - mmengine - INFO - Epoch(train) [3][140/940] lr: 1.0000e-02 eta: 19:57:49 time: 0.6692 data_time: 0.0863 memory: 24011 grad_norm: 4.3719 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6901 loss: 1.6901 2022/08/04 17:50:03 - mmengine - INFO - Epoch(train) [3][160/940] lr: 1.0000e-02 eta: 19:55:19 time: 0.6327 data_time: 0.0574 memory: 24011 grad_norm: 4.6508 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.6927 loss: 1.6927 2022/08/04 17:50:16 - mmengine - INFO - Epoch(train) [3][180/940] lr: 1.0000e-02 eta: 19:52:48 time: 0.6281 data_time: 0.0757 memory: 24011 grad_norm: 4.6650 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6444 loss: 1.6444 2022/08/04 17:50:28 - mmengine - INFO - Epoch(train) [3][200/940] lr: 1.0000e-02 eta: 19:50:01 time: 0.6064 data_time: 0.0327 memory: 24011 grad_norm: 4.5764 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6219 loss: 1.6219 2022/08/04 17:50:40 - mmengine - INFO - Epoch(train) [3][220/940] lr: 1.0000e-02 eta: 19:47:32 time: 0.6247 data_time: 0.0364 memory: 24011 grad_norm: 4.5200 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6536 loss: 1.6536 2022/08/04 17:50:52 - mmengine - INFO - Epoch(train) [3][240/940] lr: 1.0000e-02 eta: 19:44:42 time: 0.5968 data_time: 0.0346 memory: 24011 grad_norm: 4.3323 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.6246 loss: 1.6246 2022/08/04 17:51:05 - mmengine - INFO - Epoch(train) [3][260/940] lr: 1.0000e-02 eta: 19:42:39 time: 0.6491 data_time: 0.0363 memory: 24011 grad_norm: 4.4331 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.6944 loss: 1.6944 2022/08/04 17:51:17 - mmengine - INFO - Epoch(train) [3][280/940] lr: 1.0000e-02 eta: 19:40:09 time: 0.6140 data_time: 0.0415 memory: 24011 grad_norm: 4.4985 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7345 loss: 1.7345 2022/08/04 17:51:30 - mmengine - INFO - Epoch(train) [3][300/940] lr: 1.0000e-02 eta: 19:37:41 time: 0.6131 data_time: 0.0306 memory: 24011 grad_norm: 4.9166 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7305 loss: 1.7305 2022/08/04 17:51:43 - mmengine - INFO - Epoch(train) [3][320/940] lr: 1.0000e-02 eta: 19:36:04 time: 0.6722 data_time: 0.0344 memory: 24011 grad_norm: 5.1736 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.6349 loss: 1.6349 2022/08/04 17:51:55 - mmengine - INFO - Epoch(train) [3][340/940] lr: 1.0000e-02 eta: 19:33:43 time: 0.6170 data_time: 0.0352 memory: 24011 grad_norm: 5.0719 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.7285 loss: 1.7285 2022/08/04 17:52:07 - mmengine - INFO - Epoch(train) [3][360/940] lr: 1.0000e-02 eta: 19:31:10 time: 0.5984 data_time: 0.0339 memory: 24011 grad_norm: 4.7742 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8165 loss: 1.8165 2022/08/04 17:52:20 - mmengine - INFO - Epoch(train) [3][380/940] lr: 1.0000e-02 eta: 19:29:04 time: 0.6304 data_time: 0.0569 memory: 24011 grad_norm: 4.2985 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.7048 loss: 1.7048 2022/08/04 17:52:32 - mmengine - INFO - Epoch(train) [3][400/940] lr: 1.0000e-02 eta: 19:26:36 time: 0.5999 data_time: 0.0377 memory: 24011 grad_norm: 4.1225 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6828 loss: 1.6828 2022/08/04 17:52:45 - mmengine - INFO - Epoch(train) [3][420/940] lr: 1.0000e-02 eta: 19:24:42 time: 0.6384 data_time: 0.0335 memory: 24011 grad_norm: 4.1176 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.6262 loss: 1.6262 2022/08/04 17:52:57 - mmengine - INFO - Epoch(train) [3][440/940] lr: 1.0000e-02 eta: 19:22:18 time: 0.5996 data_time: 0.0365 memory: 24011 grad_norm: 4.9085 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.7924 loss: 1.7924 2022/08/04 17:53:09 - mmengine - INFO - Epoch(train) [3][460/940] lr: 1.0000e-02 eta: 19:20:15 time: 0.6230 data_time: 0.0305 memory: 24011 grad_norm: 4.4217 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.5532 loss: 1.5532 2022/08/04 17:53:22 - mmengine - INFO - Epoch(train) [3][480/940] lr: 1.0000e-02 eta: 19:18:09 time: 0.6163 data_time: 0.0370 memory: 24011 grad_norm: 4.1986 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5849 loss: 1.5849 2022/08/04 17:53:35 - mmengine - INFO - Epoch(train) [3][500/940] lr: 1.0000e-02 eta: 19:16:46 time: 0.6702 data_time: 0.0314 memory: 24011 grad_norm: 4.5426 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.5726 loss: 1.5726 2022/08/04 17:53:47 - mmengine - INFO - Epoch(train) [3][520/940] lr: 1.0000e-02 eta: 19:14:43 time: 0.6166 data_time: 0.0355 memory: 24011 grad_norm: 4.4983 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5728 loss: 1.5728 2022/08/04 17:53:59 - mmengine - INFO - Epoch(train) [3][540/940] lr: 1.0000e-02 eta: 19:12:34 time: 0.6063 data_time: 0.0367 memory: 24011 grad_norm: 4.4343 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.6975 loss: 1.6975 2022/08/04 17:54:12 - mmengine - INFO - Epoch(train) [3][560/940] lr: 1.0000e-02 eta: 19:10:53 time: 0.6401 data_time: 0.0336 memory: 24011 grad_norm: 4.5717 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6575 loss: 1.6575 2022/08/04 17:54:24 - mmengine - INFO - Epoch(train) [3][580/940] lr: 1.0000e-02 eta: 19:08:46 time: 0.6037 data_time: 0.0388 memory: 24011 grad_norm: 5.0401 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4438 loss: 1.4438 2022/08/04 17:54:37 - mmengine - INFO - Epoch(train) [3][600/940] lr: 1.0000e-02 eta: 19:06:47 time: 0.6127 data_time: 0.0362 memory: 24011 grad_norm: 4.2706 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.7194 loss: 1.7194 2022/08/04 17:54:49 - mmengine - INFO - Epoch(train) [3][620/940] lr: 1.0000e-02 eta: 19:05:13 time: 0.6444 data_time: 0.0413 memory: 24011 grad_norm: 4.5015 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5679 loss: 1.5679 2022/08/04 17:55:02 - mmengine - INFO - Epoch(train) [3][640/940] lr: 1.0000e-02 eta: 19:03:39 time: 0.6416 data_time: 0.0327 memory: 24011 grad_norm: 4.1332 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.7368 loss: 1.7368 2022/08/04 17:55:15 - mmengine - INFO - Epoch(train) [3][660/940] lr: 1.0000e-02 eta: 19:01:56 time: 0.6284 data_time: 0.0388 memory: 24011 grad_norm: 4.2057 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.7536 loss: 1.7536 2022/08/04 17:55:27 - mmengine - INFO - Epoch(train) [3][680/940] lr: 1.0000e-02 eta: 19:00:04 time: 0.6125 data_time: 0.0375 memory: 24011 grad_norm: 4.2600 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7073 loss: 1.7073 2022/08/04 17:55:39 - mmengine - INFO - Epoch(train) [3][700/940] lr: 1.0000e-02 eta: 18:58:14 time: 0.6137 data_time: 0.0391 memory: 24011 grad_norm: 4.1888 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.6868 loss: 1.6868 2022/08/04 17:55:52 - mmengine - INFO - Epoch(train) [3][720/940] lr: 1.0000e-02 eta: 18:56:41 time: 0.6360 data_time: 0.0339 memory: 24011 grad_norm: 4.5415 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.7427 loss: 1.7427 2022/08/04 17:56:04 - mmengine - INFO - Epoch(train) [3][740/940] lr: 1.0000e-02 eta: 18:54:47 time: 0.6050 data_time: 0.0309 memory: 24011 grad_norm: 4.2280 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6680 loss: 1.6680 2022/08/04 17:56:16 - mmengine - INFO - Epoch(train) [3][760/940] lr: 1.0000e-02 eta: 18:52:59 time: 0.6109 data_time: 0.0370 memory: 24011 grad_norm: 4.7844 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5873 loss: 1.5873 2022/08/04 17:56:28 - mmengine - INFO - Epoch(train) [3][780/940] lr: 1.0000e-02 eta: 18:51:07 time: 0.6024 data_time: 0.0338 memory: 24011 grad_norm: 4.7759 top1_acc: 0.4688 top5_acc: 0.7500 loss_cls: 1.6793 loss: 1.6793 2022/08/04 17:56:42 - mmengine - INFO - Epoch(train) [3][800/940] lr: 1.0000e-02 eta: 18:49:59 time: 0.6652 data_time: 0.0398 memory: 24011 grad_norm: 5.8692 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7574 loss: 1.7574 2022/08/04 17:56:55 - mmengine - INFO - Epoch(train) [3][820/940] lr: 1.0000e-02 eta: 18:48:43 time: 0.6521 data_time: 0.0321 memory: 24011 grad_norm: 5.8409 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7022 loss: 1.7022 2022/08/04 17:57:07 - mmengine - INFO - Epoch(train) [3][840/940] lr: 1.0000e-02 eta: 18:46:50 time: 0.5954 data_time: 0.0295 memory: 24011 grad_norm: 5.0616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6642 loss: 1.6642 2022/08/04 17:57:19 - mmengine - INFO - Epoch(train) [3][860/940] lr: 1.0000e-02 eta: 18:45:02 time: 0.6007 data_time: 0.0344 memory: 24011 grad_norm: 6.0372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7469 loss: 1.7469 2022/08/04 17:57:31 - mmengine - INFO - Epoch(train) [3][880/940] lr: 1.0000e-02 eta: 18:43:20 time: 0.6080 data_time: 0.0307 memory: 24011 grad_norm: 4.8842 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5860 loss: 1.5860 2022/08/04 17:57:44 - mmengine - INFO - Epoch(train) [3][900/940] lr: 1.0000e-02 eta: 18:42:03 time: 0.6434 data_time: 0.0342 memory: 24011 grad_norm: 4.7415 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.8025 loss: 1.8025 2022/08/04 17:57:56 - mmengine - INFO - Epoch(train) [3][920/940] lr: 1.0000e-02 eta: 18:40:36 time: 0.6266 data_time: 0.0342 memory: 24011 grad_norm: 5.2595 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.6238 loss: 1.6238 2022/08/04 17:58:07 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 17:58:07 - mmengine - INFO - Epoch(train) [3][940/940] lr: 1.0000e-02 eta: 18:38:09 time: 0.5326 data_time: 0.0251 memory: 24011 grad_norm: 5.2057 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.8274 loss: 1.8274 2022/08/04 17:58:07 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/04 17:58:25 - mmengine - INFO - Epoch(val) [3][20/78] eta: 0:00:39 time: 0.6747 data_time: 0.5222 memory: 3625 2022/08/04 17:58:34 - mmengine - INFO - Epoch(val) [3][40/78] eta: 0:00:17 time: 0.4564 data_time: 0.3055 memory: 3625 2022/08/04 17:58:47 - mmengine - INFO - Epoch(val) [3][60/78] eta: 0:00:11 time: 0.6193 data_time: 0.4671 memory: 3625 2022/08/04 17:58:56 - mmengine - INFO - Epoch(val) [3][78/78] acc/top1: 0.6673 acc/top5: 0.8782 acc/mean1: 0.6672 2022/08/04 17:58:56 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_3.pth is removed 2022/08/04 17:59:00 - mmengine - INFO - The best checkpoint with 0.6673 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/08/04 17:59:16 - mmengine - INFO - Epoch(train) [4][20/940] lr: 1.0000e-02 eta: 18:38:45 time: 0.8152 data_time: 0.2744 memory: 24011 grad_norm: 4.3602 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5545 loss: 1.5545 2022/08/04 17:59:27 - mmengine - INFO - Epoch(train) [4][40/940] lr: 1.0000e-02 eta: 18:36:50 time: 0.5788 data_time: 0.0430 memory: 24011 grad_norm: 4.5696 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6014 loss: 1.6014 2022/08/04 17:59:41 - mmengine - INFO - Epoch(train) [4][60/940] lr: 1.0000e-02 eta: 18:35:43 time: 0.6528 data_time: 0.0960 memory: 24011 grad_norm: 4.9118 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7144 loss: 1.7144 2022/08/04 17:59:54 - mmengine - INFO - Epoch(train) [4][80/940] lr: 1.0000e-02 eta: 18:34:46 time: 0.6678 data_time: 0.1059 memory: 24011 grad_norm: 4.5334 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.6014 loss: 1.6014 2022/08/04 18:00:09 - mmengine - INFO - Epoch(train) [4][100/940] lr: 1.0000e-02 eta: 18:34:33 time: 0.7374 data_time: 0.0581 memory: 24011 grad_norm: 4.3143 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4873 loss: 1.4873 2022/08/04 18:00:20 - mmengine - INFO - Epoch(train) [4][120/940] lr: 1.0000e-02 eta: 18:32:49 time: 0.5899 data_time: 0.0317 memory: 24011 grad_norm: 4.4047 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6861 loss: 1.6861 2022/08/04 18:00:33 - mmengine - INFO - Epoch(train) [4][140/940] lr: 1.0000e-02 eta: 18:31:41 time: 0.6453 data_time: 0.0790 memory: 24011 grad_norm: 4.7230 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5861 loss: 1.5861 2022/08/04 18:00:46 - mmengine - INFO - Epoch(train) [4][160/940] lr: 1.0000e-02 eta: 18:30:28 time: 0.6378 data_time: 0.0885 memory: 24011 grad_norm: 4.4621 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6044 loss: 1.6044 2022/08/04 18:00:59 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:00:59 - mmengine - INFO - Epoch(train) [4][180/940] lr: 1.0000e-02 eta: 18:29:25 time: 0.6517 data_time: 0.1119 memory: 24011 grad_norm: 4.6847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5809 loss: 1.5809 2022/08/04 18:01:11 - mmengine - INFO - Epoch(train) [4][200/940] lr: 1.0000e-02 eta: 18:27:53 time: 0.6042 data_time: 0.0529 memory: 24011 grad_norm: 4.4323 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5228 loss: 1.5228 2022/08/04 18:01:23 - mmengine - INFO - Epoch(train) [4][220/940] lr: 1.0000e-02 eta: 18:26:28 time: 0.6120 data_time: 0.0657 memory: 24011 grad_norm: 4.0345 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6324 loss: 1.6324 2022/08/04 18:01:36 - mmengine - INFO - Epoch(train) [4][240/940] lr: 1.0000e-02 eta: 18:24:59 time: 0.6059 data_time: 0.0489 memory: 24011 grad_norm: 4.1517 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.5416 loss: 1.5416 2022/08/04 18:01:48 - mmengine - INFO - Epoch(train) [4][260/940] lr: 1.0000e-02 eta: 18:23:48 time: 0.6321 data_time: 0.0816 memory: 24011 grad_norm: 4.3954 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.8749 loss: 1.8749 2022/08/04 18:02:00 - mmengine - INFO - Epoch(train) [4][280/940] lr: 1.0000e-02 eta: 18:22:20 time: 0.6033 data_time: 0.0475 memory: 24011 grad_norm: 4.2110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5692 loss: 1.5692 2022/08/04 18:02:13 - mmengine - INFO - Epoch(train) [4][300/940] lr: 1.0000e-02 eta: 18:21:17 time: 0.6459 data_time: 0.0925 memory: 24011 grad_norm: 4.7599 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.6489 loss: 1.6489 2022/08/04 18:02:25 - mmengine - INFO - Epoch(train) [4][320/940] lr: 1.0000e-02 eta: 18:19:45 time: 0.5916 data_time: 0.0237 memory: 24011 grad_norm: 4.0719 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6509 loss: 1.6509 2022/08/04 18:02:37 - mmengine - INFO - Epoch(train) [4][340/940] lr: 1.0000e-02 eta: 18:18:18 time: 0.6005 data_time: 0.0316 memory: 24011 grad_norm: 5.0469 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5765 loss: 1.5765 2022/08/04 18:02:49 - mmengine - INFO - Epoch(train) [4][360/940] lr: 1.0000e-02 eta: 18:16:45 time: 0.5893 data_time: 0.0366 memory: 24011 grad_norm: 4.6851 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6835 loss: 1.6835 2022/08/04 18:03:03 - mmengine - INFO - Epoch(train) [4][380/940] lr: 1.0000e-02 eta: 18:16:12 time: 0.6910 data_time: 0.1267 memory: 24011 grad_norm: 4.3165 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6013 loss: 1.6013 2022/08/04 18:03:15 - mmengine - INFO - Epoch(train) [4][400/940] lr: 1.0000e-02 eta: 18:14:47 time: 0.6000 data_time: 0.0319 memory: 24011 grad_norm: 4.9019 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5604 loss: 1.5604 2022/08/04 18:03:28 - mmengine - INFO - Epoch(train) [4][420/940] lr: 1.0000e-02 eta: 18:13:47 time: 0.6419 data_time: 0.0594 memory: 24011 grad_norm: 5.5864 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.5048 loss: 1.5048 2022/08/04 18:03:40 - mmengine - INFO - Epoch(train) [4][440/940] lr: 1.0000e-02 eta: 18:12:28 time: 0.6073 data_time: 0.0479 memory: 24011 grad_norm: 5.1935 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 1.6764 loss: 1.6764 2022/08/04 18:03:52 - mmengine - INFO - Epoch(train) [4][460/940] lr: 1.0000e-02 eta: 18:11:26 time: 0.6364 data_time: 0.0558 memory: 24011 grad_norm: 4.4800 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7378 loss: 1.7378 2022/08/04 18:04:05 - mmengine - INFO - Epoch(train) [4][480/940] lr: 1.0000e-02 eta: 18:10:13 time: 0.6143 data_time: 0.0314 memory: 24011 grad_norm: 4.2862 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6857 loss: 1.6857 2022/08/04 18:04:17 - mmengine - INFO - Epoch(train) [4][500/940] lr: 1.0000e-02 eta: 18:09:01 time: 0.6161 data_time: 0.0496 memory: 24011 grad_norm: 4.9312 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6103 loss: 1.6103 2022/08/04 18:04:30 - mmengine - INFO - Epoch(train) [4][520/940] lr: 1.0000e-02 eta: 18:08:11 time: 0.6562 data_time: 0.0670 memory: 24011 grad_norm: 4.3038 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.6479 loss: 1.6479 2022/08/04 18:04:43 - mmengine - INFO - Epoch(train) [4][540/940] lr: 1.0000e-02 eta: 18:07:05 time: 0.6235 data_time: 0.0690 memory: 24011 grad_norm: 4.4212 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.6993 loss: 1.6993 2022/08/04 18:04:55 - mmengine - INFO - Epoch(train) [4][560/940] lr: 1.0000e-02 eta: 18:05:44 time: 0.5958 data_time: 0.0300 memory: 24011 grad_norm: 4.3304 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5283 loss: 1.5283 2022/08/04 18:05:07 - mmengine - INFO - Epoch(train) [4][580/940] lr: 1.0000e-02 eta: 18:04:34 time: 0.6146 data_time: 0.0375 memory: 24011 grad_norm: 4.3887 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.6265 loss: 1.6265 2022/08/04 18:05:19 - mmengine - INFO - Epoch(train) [4][600/940] lr: 1.0000e-02 eta: 18:03:13 time: 0.5923 data_time: 0.0298 memory: 24011 grad_norm: 4.3745 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.6645 loss: 1.6645 2022/08/04 18:05:32 - mmengine - INFO - Epoch(train) [4][620/940] lr: 1.0000e-02 eta: 18:02:20 time: 0.6432 data_time: 0.0856 memory: 24011 grad_norm: 4.2927 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.7409 loss: 1.7409 2022/08/04 18:05:44 - mmengine - INFO - Epoch(train) [4][640/940] lr: 1.0000e-02 eta: 18:01:19 time: 0.6298 data_time: 0.0702 memory: 24011 grad_norm: 4.2234 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.4959 loss: 1.4959 2022/08/04 18:05:56 - mmengine - INFO - Epoch(train) [4][660/940] lr: 1.0000e-02 eta: 18:00:07 time: 0.6039 data_time: 0.0412 memory: 24011 grad_norm: 4.1410 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.6422 loss: 1.6422 2022/08/04 18:06:09 - mmengine - INFO - Epoch(train) [4][680/940] lr: 1.0000e-02 eta: 17:59:04 time: 0.6229 data_time: 0.0310 memory: 24011 grad_norm: 4.0624 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5707 loss: 1.5707 2022/08/04 18:06:21 - mmengine - INFO - Epoch(train) [4][700/940] lr: 1.0000e-02 eta: 17:58:05 time: 0.6276 data_time: 0.0371 memory: 24011 grad_norm: 5.2014 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5684 loss: 1.5684 2022/08/04 18:06:34 - mmengine - INFO - Epoch(train) [4][720/940] lr: 1.0000e-02 eta: 17:57:09 time: 0.6336 data_time: 0.0561 memory: 24011 grad_norm: 4.4372 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6489 loss: 1.6489 2022/08/04 18:06:47 - mmengine - INFO - Epoch(train) [4][740/940] lr: 1.0000e-02 eta: 17:56:33 time: 0.6722 data_time: 0.0967 memory: 24011 grad_norm: 5.3574 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5253 loss: 1.5253 2022/08/04 18:06:59 - mmengine - INFO - Epoch(train) [4][760/940] lr: 1.0000e-02 eta: 17:55:23 time: 0.6036 data_time: 0.0490 memory: 24011 grad_norm: 4.2623 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.5659 loss: 1.5659 2022/08/04 18:07:13 - mmengine - INFO - Epoch(train) [4][780/940] lr: 1.0000e-02 eta: 17:54:48 time: 0.6730 data_time: 0.0984 memory: 24011 grad_norm: 4.1895 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5406 loss: 1.5406 2022/08/04 18:07:26 - mmengine - INFO - Epoch(train) [4][800/940] lr: 1.0000e-02 eta: 17:54:00 time: 0.6451 data_time: 0.0590 memory: 24011 grad_norm: 4.2980 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4253 loss: 1.4253 2022/08/04 18:07:38 - mmengine - INFO - Epoch(train) [4][820/940] lr: 1.0000e-02 eta: 17:52:55 time: 0.6105 data_time: 0.0438 memory: 24011 grad_norm: 4.6080 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6448 loss: 1.6448 2022/08/04 18:07:50 - mmengine - INFO - Epoch(train) [4][840/940] lr: 1.0000e-02 eta: 17:51:55 time: 0.6212 data_time: 0.0256 memory: 24011 grad_norm: 4.9256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6332 loss: 1.6332 2022/08/04 18:08:03 - mmengine - INFO - Epoch(train) [4][860/940] lr: 1.0000e-02 eta: 17:50:53 time: 0.6141 data_time: 0.0551 memory: 24011 grad_norm: 4.5394 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6961 loss: 1.6961 2022/08/04 18:08:15 - mmengine - INFO - Epoch(train) [4][880/940] lr: 1.0000e-02 eta: 17:49:49 time: 0.6082 data_time: 0.0416 memory: 24011 grad_norm: 4.1014 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5288 loss: 1.5288 2022/08/04 18:08:27 - mmengine - INFO - Epoch(train) [4][900/940] lr: 1.0000e-02 eta: 17:48:51 time: 0.6211 data_time: 0.0520 memory: 24011 grad_norm: 3.9753 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6996 loss: 1.6996 2022/08/04 18:08:39 - mmengine - INFO - Epoch(train) [4][920/940] lr: 1.0000e-02 eta: 17:47:31 time: 0.5755 data_time: 0.0310 memory: 24011 grad_norm: 4.1225 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4888 loss: 1.4888 2022/08/04 18:08:51 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:08:51 - mmengine - INFO - Epoch(train) [4][940/940] lr: 1.0000e-02 eta: 17:46:19 time: 0.5881 data_time: 0.0471 memory: 24011 grad_norm: 4.3404 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5848 loss: 1.5848 2022/08/04 18:09:05 - mmengine - INFO - Epoch(val) [4][20/78] eta: 0:00:40 time: 0.6983 data_time: 0.5297 memory: 3625 2022/08/04 18:09:13 - mmengine - INFO - Epoch(val) [4][40/78] eta: 0:00:16 time: 0.4345 data_time: 0.2814 memory: 3625 2022/08/04 18:09:26 - mmengine - INFO - Epoch(val) [4][60/78] eta: 0:00:11 time: 0.6364 data_time: 0.4825 memory: 3625 2022/08/04 18:09:36 - mmengine - INFO - Epoch(val) [4][78/78] acc/top1: 0.6853 acc/top5: 0.8881 acc/mean1: 0.6852 2022/08/04 18:09:36 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_4.pth is removed 2022/08/04 18:09:39 - mmengine - INFO - The best checkpoint with 0.6853 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/08/04 18:09:56 - mmengine - INFO - Epoch(train) [5][20/940] lr: 1.0000e-02 eta: 17:47:05 time: 0.8345 data_time: 0.2935 memory: 24011 grad_norm: 4.1631 top1_acc: 0.4688 top5_acc: 0.9062 loss_cls: 1.6032 loss: 1.6032 2022/08/04 18:10:07 - mmengine - INFO - Epoch(train) [5][40/940] lr: 1.0000e-02 eta: 17:45:51 time: 0.5853 data_time: 0.0511 memory: 24011 grad_norm: 4.4475 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5036 loss: 1.5036 2022/08/04 18:10:20 - mmengine - INFO - Epoch(train) [5][60/940] lr: 1.0000e-02 eta: 17:45:08 time: 0.6479 data_time: 0.1041 memory: 24011 grad_norm: 4.5510 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.5280 loss: 1.5280 2022/08/04 18:10:32 - mmengine - INFO - Epoch(train) [5][80/940] lr: 1.0000e-02 eta: 17:44:05 time: 0.6034 data_time: 0.0592 memory: 24011 grad_norm: 4.0245 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.5522 loss: 1.5522 2022/08/04 18:10:45 - mmengine - INFO - Epoch(train) [5][100/940] lr: 1.0000e-02 eta: 17:43:16 time: 0.6350 data_time: 0.0980 memory: 24011 grad_norm: 4.0338 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.6475 loss: 1.6475 2022/08/04 18:10:58 - mmengine - INFO - Epoch(train) [5][120/940] lr: 1.0000e-02 eta: 17:42:30 time: 0.6374 data_time: 0.0503 memory: 24011 grad_norm: 4.1256 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3898 loss: 1.3898 2022/08/04 18:11:11 - mmengine - INFO - Epoch(train) [5][140/940] lr: 1.0000e-02 eta: 17:41:45 time: 0.6425 data_time: 0.0902 memory: 24011 grad_norm: 4.1642 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.5976 loss: 1.5976 2022/08/04 18:11:23 - mmengine - INFO - Epoch(train) [5][160/940] lr: 1.0000e-02 eta: 17:40:48 time: 0.6121 data_time: 0.0372 memory: 24011 grad_norm: 3.9346 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5570 loss: 1.5570 2022/08/04 18:11:35 - mmengine - INFO - Epoch(train) [5][180/940] lr: 1.0000e-02 eta: 17:39:49 time: 0.6099 data_time: 0.0341 memory: 24011 grad_norm: 3.9797 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6737 loss: 1.6737 2022/08/04 18:11:48 - mmengine - INFO - Epoch(train) [5][200/940] lr: 1.0000e-02 eta: 17:39:02 time: 0.6319 data_time: 0.0699 memory: 24011 grad_norm: 3.9759 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4695 loss: 1.4695 2022/08/04 18:12:00 - mmengine - INFO - Epoch(train) [5][220/940] lr: 1.0000e-02 eta: 17:38:14 time: 0.6328 data_time: 0.0867 memory: 24011 grad_norm: 3.9655 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4885 loss: 1.4885 2022/08/04 18:12:13 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:12:13 - mmengine - INFO - Epoch(train) [5][240/940] lr: 1.0000e-02 eta: 17:37:28 time: 0.6327 data_time: 0.0774 memory: 24011 grad_norm: 3.9612 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.4870 loss: 1.4870 2022/08/04 18:12:26 - mmengine - INFO - Epoch(train) [5][260/940] lr: 1.0000e-02 eta: 17:36:50 time: 0.6526 data_time: 0.0894 memory: 24011 grad_norm: 4.1003 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5409 loss: 1.5409 2022/08/04 18:12:38 - mmengine - INFO - Epoch(train) [5][280/940] lr: 1.0000e-02 eta: 17:35:39 time: 0.5757 data_time: 0.0250 memory: 24011 grad_norm: 4.1890 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.5099 loss: 1.5099 2022/08/04 18:12:51 - mmengine - INFO - Epoch(train) [5][300/940] lr: 1.0000e-02 eta: 17:34:59 time: 0.6472 data_time: 0.0918 memory: 24011 grad_norm: 4.3392 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.5728 loss: 1.5728 2022/08/04 18:13:03 - mmengine - INFO - Epoch(train) [5][320/940] lr: 1.0000e-02 eta: 17:34:19 time: 0.6434 data_time: 0.0866 memory: 24011 grad_norm: 4.1749 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5485 loss: 1.5485 2022/08/04 18:13:17 - mmengine - INFO - Epoch(train) [5][340/940] lr: 1.0000e-02 eta: 17:33:44 time: 0.6576 data_time: 0.1065 memory: 24011 grad_norm: 4.0740 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3876 loss: 1.3876 2022/08/04 18:13:29 - mmengine - INFO - Epoch(train) [5][360/940] lr: 1.0000e-02 eta: 17:32:53 time: 0.6183 data_time: 0.0705 memory: 24011 grad_norm: 3.9361 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5614 loss: 1.5614 2022/08/04 18:13:41 - mmengine - INFO - Epoch(train) [5][380/940] lr: 1.0000e-02 eta: 17:32:02 time: 0.6177 data_time: 0.0754 memory: 24011 grad_norm: 4.3988 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.4518 loss: 1.4518 2022/08/04 18:13:53 - mmengine - INFO - Epoch(train) [5][400/940] lr: 1.0000e-02 eta: 17:31:01 time: 0.5943 data_time: 0.0292 memory: 24011 grad_norm: 4.2002 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4703 loss: 1.4703 2022/08/04 18:14:05 - mmengine - INFO - Epoch(train) [5][420/940] lr: 1.0000e-02 eta: 17:29:59 time: 0.5886 data_time: 0.0510 memory: 24011 grad_norm: 5.0804 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4596 loss: 1.4596 2022/08/04 18:14:18 - mmengine - INFO - Epoch(train) [5][440/940] lr: 1.0000e-02 eta: 17:29:29 time: 0.6659 data_time: 0.0927 memory: 24011 grad_norm: 4.4433 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4522 loss: 1.4522 2022/08/04 18:14:31 - mmengine - INFO - Epoch(train) [5][460/940] lr: 1.0000e-02 eta: 17:28:42 time: 0.6226 data_time: 0.0649 memory: 24011 grad_norm: 4.3574 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5820 loss: 1.5820 2022/08/04 18:14:43 - mmengine - INFO - Epoch(train) [5][480/940] lr: 1.0000e-02 eta: 17:27:51 time: 0.6142 data_time: 0.0297 memory: 24011 grad_norm: 3.9545 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.5603 loss: 1.5603 2022/08/04 18:14:55 - mmengine - INFO - Epoch(train) [5][500/940] lr: 1.0000e-02 eta: 17:27:05 time: 0.6250 data_time: 0.0387 memory: 24011 grad_norm: 4.6180 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.4763 loss: 1.4763 2022/08/04 18:15:08 - mmengine - INFO - Epoch(train) [5][520/940] lr: 1.0000e-02 eta: 17:26:16 time: 0.6147 data_time: 0.0398 memory: 24011 grad_norm: 4.0182 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5338 loss: 1.5338 2022/08/04 18:15:21 - mmengine - INFO - Epoch(train) [5][540/940] lr: 1.0000e-02 eta: 17:25:47 time: 0.6637 data_time: 0.0349 memory: 24011 grad_norm: 4.3246 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.6167 loss: 1.6167 2022/08/04 18:15:33 - mmengine - INFO - Epoch(train) [5][560/940] lr: 1.0000e-02 eta: 17:24:55 time: 0.6086 data_time: 0.0374 memory: 24011 grad_norm: 4.0463 top1_acc: 0.5000 top5_acc: 0.9062 loss_cls: 1.4749 loss: 1.4749 2022/08/04 18:15:45 - mmengine - INFO - Epoch(train) [5][580/940] lr: 1.0000e-02 eta: 17:23:58 time: 0.5960 data_time: 0.0345 memory: 24011 grad_norm: 3.9793 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5510 loss: 1.5510 2022/08/04 18:15:58 - mmengine - INFO - Epoch(train) [5][600/940] lr: 1.0000e-02 eta: 17:23:23 time: 0.6458 data_time: 0.0352 memory: 24011 grad_norm: 4.3363 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4496 loss: 1.4496 2022/08/04 18:16:10 - mmengine - INFO - Epoch(train) [5][620/940] lr: 1.0000e-02 eta: 17:22:34 time: 0.6147 data_time: 0.0362 memory: 24011 grad_norm: 4.3531 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4314 loss: 1.4314 2022/08/04 18:16:23 - mmengine - INFO - Epoch(train) [5][640/940] lr: 1.0000e-02 eta: 17:21:57 time: 0.6401 data_time: 0.0334 memory: 24011 grad_norm: 4.2742 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5762 loss: 1.5762 2022/08/04 18:16:36 - mmengine - INFO - Epoch(train) [5][660/940] lr: 1.0000e-02 eta: 17:21:12 time: 0.6216 data_time: 0.0384 memory: 24011 grad_norm: 4.2859 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4579 loss: 1.4579 2022/08/04 18:16:48 - mmengine - INFO - Epoch(train) [5][680/940] lr: 1.0000e-02 eta: 17:20:19 time: 0.6012 data_time: 0.0350 memory: 24011 grad_norm: 4.1525 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4746 loss: 1.4746 2022/08/04 18:17:00 - mmengine - INFO - Epoch(train) [5][700/940] lr: 1.0000e-02 eta: 17:19:26 time: 0.5993 data_time: 0.0318 memory: 24011 grad_norm: 5.0252 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.6537 loss: 1.6537 2022/08/04 18:17:12 - mmengine - INFO - Epoch(train) [5][720/940] lr: 1.0000e-02 eta: 17:18:40 time: 0.6157 data_time: 0.0529 memory: 24011 grad_norm: 4.4228 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5675 loss: 1.5675 2022/08/04 18:17:24 - mmengine - INFO - Epoch(train) [5][740/940] lr: 1.0000e-02 eta: 17:17:53 time: 0.6122 data_time: 0.0345 memory: 24011 grad_norm: 4.1933 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.4499 loss: 1.4499 2022/08/04 18:17:37 - mmengine - INFO - Epoch(train) [5][760/940] lr: 1.0000e-02 eta: 17:17:13 time: 0.6318 data_time: 0.0685 memory: 24011 grad_norm: 4.6860 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4893 loss: 1.4893 2022/08/04 18:17:50 - mmengine - INFO - Epoch(train) [5][780/940] lr: 1.0000e-02 eta: 17:16:53 time: 0.6798 data_time: 0.0440 memory: 24011 grad_norm: 4.8798 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3976 loss: 1.3976 2022/08/04 18:18:02 - mmengine - INFO - Epoch(train) [5][800/940] lr: 1.0000e-02 eta: 17:15:59 time: 0.5933 data_time: 0.0332 memory: 24011 grad_norm: 4.2794 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.5478 loss: 1.5478 2022/08/04 18:18:15 - mmengine - INFO - Epoch(train) [5][820/940] lr: 1.0000e-02 eta: 17:15:14 time: 0.6151 data_time: 0.0349 memory: 24011 grad_norm: 3.9329 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.5398 loss: 1.5398 2022/08/04 18:18:28 - mmengine - INFO - Epoch(train) [5][840/940] lr: 1.0000e-02 eta: 17:14:44 time: 0.6520 data_time: 0.0316 memory: 24011 grad_norm: 3.9124 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.5558 loss: 1.5558 2022/08/04 18:18:40 - mmengine - INFO - Epoch(train) [5][860/940] lr: 1.0000e-02 eta: 17:14:01 time: 0.6192 data_time: 0.0371 memory: 24011 grad_norm: 4.0591 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.6351 loss: 1.6351 2022/08/04 18:18:52 - mmengine - INFO - Epoch(train) [5][880/940] lr: 1.0000e-02 eta: 17:13:16 time: 0.6150 data_time: 0.0317 memory: 24011 grad_norm: 3.9916 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5706 loss: 1.5706 2022/08/04 18:19:05 - mmengine - INFO - Epoch(train) [5][900/940] lr: 1.0000e-02 eta: 17:12:47 time: 0.6535 data_time: 0.0371 memory: 24011 grad_norm: 3.9495 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.4157 loss: 1.4157 2022/08/04 18:19:18 - mmengine - INFO - Epoch(train) [5][920/940] lr: 1.0000e-02 eta: 17:12:12 time: 0.6379 data_time: 0.0313 memory: 24011 grad_norm: 4.2262 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6035 loss: 1.6035 2022/08/04 18:19:29 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:19:29 - mmengine - INFO - Epoch(train) [5][940/940] lr: 1.0000e-02 eta: 17:11:01 time: 0.5438 data_time: 0.0241 memory: 24011 grad_norm: 4.6382 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.5141 loss: 1.5141 2022/08/04 18:19:43 - mmengine - INFO - Epoch(val) [5][20/78] eta: 0:00:39 time: 0.6799 data_time: 0.5238 memory: 3625 2022/08/04 18:19:52 - mmengine - INFO - Epoch(val) [5][40/78] eta: 0:00:16 time: 0.4470 data_time: 0.2906 memory: 3625 2022/08/04 18:20:04 - mmengine - INFO - Epoch(val) [5][60/78] eta: 0:00:11 time: 0.6310 data_time: 0.4754 memory: 3625 2022/08/04 18:20:17 - mmengine - INFO - Epoch(val) [5][78/78] acc/top1: 0.6917 acc/top5: 0.8928 acc/mean1: 0.6915 2022/08/04 18:20:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_5.pth is removed 2022/08/04 18:20:20 - mmengine - INFO - The best checkpoint with 0.6917 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/04 18:20:37 - mmengine - INFO - Epoch(train) [6][20/940] lr: 1.0000e-02 eta: 17:11:43 time: 0.8399 data_time: 0.2893 memory: 24011 grad_norm: 4.0618 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3960 loss: 1.3960 2022/08/04 18:20:49 - mmengine - INFO - Epoch(train) [6][40/940] lr: 1.0000e-02 eta: 17:10:44 time: 0.5736 data_time: 0.0327 memory: 24011 grad_norm: 4.0622 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4372 loss: 1.4372 2022/08/04 18:21:02 - mmengine - INFO - Epoch(train) [6][60/940] lr: 1.0000e-02 eta: 17:10:21 time: 0.6691 data_time: 0.1271 memory: 24011 grad_norm: 4.6073 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4388 loss: 1.4388 2022/08/04 18:21:14 - mmengine - INFO - Epoch(train) [6][80/940] lr: 1.0000e-02 eta: 17:09:27 time: 0.5852 data_time: 0.0306 memory: 24011 grad_norm: 4.2502 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3659 loss: 1.3659 2022/08/04 18:21:26 - mmengine - INFO - Epoch(train) [6][100/940] lr: 1.0000e-02 eta: 17:08:48 time: 0.6248 data_time: 0.0743 memory: 24011 grad_norm: 4.1966 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5018 loss: 1.5018 2022/08/04 18:21:39 - mmengine - INFO - Epoch(train) [6][120/940] lr: 1.0000e-02 eta: 17:08:12 time: 0.6316 data_time: 0.0651 memory: 24011 grad_norm: 3.9733 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.5148 loss: 1.5148 2022/08/04 18:21:51 - mmengine - INFO - Epoch(train) [6][140/940] lr: 1.0000e-02 eta: 17:07:32 time: 0.6204 data_time: 0.0585 memory: 24011 grad_norm: 4.0263 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4735 loss: 1.4735 2022/08/04 18:22:04 - mmengine - INFO - Epoch(train) [6][160/940] lr: 1.0000e-02 eta: 17:07:06 time: 0.6578 data_time: 0.0744 memory: 24011 grad_norm: 4.0495 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4097 loss: 1.4097 2022/08/04 18:22:17 - mmengine - INFO - Epoch(train) [6][180/940] lr: 1.0000e-02 eta: 17:06:31 time: 0.6351 data_time: 0.0432 memory: 24011 grad_norm: 4.3539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5318 loss: 1.5318 2022/08/04 18:22:29 - mmengine - INFO - Epoch(train) [6][200/940] lr: 1.0000e-02 eta: 17:05:48 time: 0.6099 data_time: 0.0332 memory: 24011 grad_norm: 4.6349 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4872 loss: 1.4872 2022/08/04 18:22:42 - mmengine - INFO - Epoch(train) [6][220/940] lr: 1.0000e-02 eta: 17:05:12 time: 0.6280 data_time: 0.0372 memory: 24011 grad_norm: 4.0058 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.5034 loss: 1.5034 2022/08/04 18:22:54 - mmengine - INFO - Epoch(train) [6][240/940] lr: 1.0000e-02 eta: 17:04:36 time: 0.6290 data_time: 0.0328 memory: 24011 grad_norm: 3.9140 top1_acc: 0.4062 top5_acc: 0.7188 loss_cls: 1.4114 loss: 1.4114 2022/08/04 18:23:06 - mmengine - INFO - Epoch(train) [6][260/940] lr: 1.0000e-02 eta: 17:03:47 time: 0.5928 data_time: 0.0371 memory: 24011 grad_norm: 4.2205 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4754 loss: 1.4754 2022/08/04 18:23:19 - mmengine - INFO - Epoch(train) [6][280/940] lr: 1.0000e-02 eta: 17:03:19 time: 0.6502 data_time: 0.0525 memory: 24011 grad_norm: 4.4630 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4268 loss: 1.4268 2022/08/04 18:23:32 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:23:32 - mmengine - INFO - Epoch(train) [6][300/940] lr: 1.0000e-02 eta: 17:02:41 time: 0.6226 data_time: 0.0359 memory: 24011 grad_norm: 4.1465 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5372 loss: 1.5372 2022/08/04 18:23:45 - mmengine - INFO - Epoch(train) [6][320/940] lr: 1.0000e-02 eta: 17:02:16 time: 0.6573 data_time: 0.0316 memory: 24011 grad_norm: 4.8072 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5806 loss: 1.5806 2022/08/04 18:23:57 - mmengine - INFO - Epoch(train) [6][340/940] lr: 1.0000e-02 eta: 17:01:34 time: 0.6089 data_time: 0.0382 memory: 24011 grad_norm: 4.1893 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5862 loss: 1.5862 2022/08/04 18:24:10 - mmengine - INFO - Epoch(train) [6][360/940] lr: 1.0000e-02 eta: 17:01:04 time: 0.6426 data_time: 0.0403 memory: 24011 grad_norm: 3.9368 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4083 loss: 1.4083 2022/08/04 18:24:22 - mmengine - INFO - Epoch(train) [6][380/940] lr: 1.0000e-02 eta: 17:00:26 time: 0.6218 data_time: 0.0377 memory: 24011 grad_norm: 4.3924 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.5399 loss: 1.5399 2022/08/04 18:24:35 - mmengine - INFO - Epoch(train) [6][400/940] lr: 1.0000e-02 eta: 17:00:02 time: 0.6585 data_time: 0.0416 memory: 24011 grad_norm: 4.3039 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4931 loss: 1.4931 2022/08/04 18:24:48 - mmengine - INFO - Epoch(train) [6][420/940] lr: 1.0000e-02 eta: 16:59:18 time: 0.6016 data_time: 0.0318 memory: 24011 grad_norm: 3.9185 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5483 loss: 1.5483 2022/08/04 18:24:59 - mmengine - INFO - Epoch(train) [6][440/940] lr: 1.0000e-02 eta: 16:58:28 time: 0.5839 data_time: 0.0313 memory: 24011 grad_norm: 4.2968 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4449 loss: 1.4449 2022/08/04 18:25:11 - mmengine - INFO - Epoch(train) [6][460/940] lr: 1.0000e-02 eta: 16:57:48 time: 0.6103 data_time: 0.0366 memory: 24011 grad_norm: 4.0918 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3257 loss: 1.3257 2022/08/04 18:25:24 - mmengine - INFO - Epoch(train) [6][480/940] lr: 1.0000e-02 eta: 16:57:21 time: 0.6487 data_time: 0.0328 memory: 24011 grad_norm: 4.0414 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.4365 loss: 1.4365 2022/08/04 18:25:37 - mmengine - INFO - Epoch(train) [6][500/940] lr: 1.0000e-02 eta: 16:56:46 time: 0.6243 data_time: 0.0444 memory: 24011 grad_norm: 3.8577 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5129 loss: 1.5129 2022/08/04 18:25:49 - mmengine - INFO - Epoch(train) [6][520/940] lr: 1.0000e-02 eta: 16:56:09 time: 0.6192 data_time: 0.0285 memory: 24011 grad_norm: 3.9175 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4419 loss: 1.4419 2022/08/04 18:26:02 - mmengine - INFO - Epoch(train) [6][540/940] lr: 1.0000e-02 eta: 16:55:33 time: 0.6197 data_time: 0.0478 memory: 24011 grad_norm: 3.9735 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.4032 loss: 1.4032 2022/08/04 18:26:13 - mmengine - INFO - Epoch(train) [6][560/940] lr: 1.0000e-02 eta: 16:54:46 time: 0.5895 data_time: 0.0273 memory: 24011 grad_norm: 3.9583 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.5526 loss: 1.5526 2022/08/04 18:26:26 - mmengine - INFO - Epoch(train) [6][580/940] lr: 1.0000e-02 eta: 16:54:17 time: 0.6409 data_time: 0.0572 memory: 24011 grad_norm: 4.7219 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.4963 loss: 1.4963 2022/08/04 18:26:39 - mmengine - INFO - Epoch(train) [6][600/940] lr: 1.0000e-02 eta: 16:53:41 time: 0.6180 data_time: 0.0349 memory: 24011 grad_norm: 4.0205 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4605 loss: 1.4605 2022/08/04 18:26:51 - mmengine - INFO - Epoch(train) [6][620/940] lr: 1.0000e-02 eta: 16:53:04 time: 0.6154 data_time: 0.0605 memory: 24011 grad_norm: 3.8168 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.6161 loss: 1.6161 2022/08/04 18:27:03 - mmengine - INFO - Epoch(train) [6][640/940] lr: 1.0000e-02 eta: 16:52:23 time: 0.6038 data_time: 0.0321 memory: 24011 grad_norm: 3.9966 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6894 loss: 1.6894 2022/08/04 18:27:16 - mmengine - INFO - Epoch(train) [6][660/940] lr: 1.0000e-02 eta: 16:52:05 time: 0.6743 data_time: 0.1078 memory: 24011 grad_norm: 4.0011 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4315 loss: 1.4315 2022/08/04 18:27:28 - mmengine - INFO - Epoch(train) [6][680/940] lr: 1.0000e-02 eta: 16:51:22 time: 0.5942 data_time: 0.0269 memory: 24011 grad_norm: 3.9576 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4116 loss: 1.4116 2022/08/04 18:27:42 - mmengine - INFO - Epoch(train) [6][700/940] lr: 1.0000e-02 eta: 16:51:06 time: 0.6784 data_time: 0.0342 memory: 24011 grad_norm: 4.1605 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5891 loss: 1.5891 2022/08/04 18:27:54 - mmengine - INFO - Epoch(train) [6][720/940] lr: 1.0000e-02 eta: 16:50:21 time: 0.5897 data_time: 0.0337 memory: 24011 grad_norm: 4.1860 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.4825 loss: 1.4825 2022/08/04 18:28:07 - mmengine - INFO - Epoch(train) [6][740/940] lr: 1.0000e-02 eta: 16:49:58 time: 0.6537 data_time: 0.0375 memory: 24011 grad_norm: 3.7912 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.6074 loss: 1.6074 2022/08/04 18:28:19 - mmengine - INFO - Epoch(train) [6][760/940] lr: 1.0000e-02 eta: 16:49:14 time: 0.5921 data_time: 0.0354 memory: 24011 grad_norm: 5.7169 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5425 loss: 1.5425 2022/08/04 18:28:31 - mmengine - INFO - Epoch(train) [6][780/940] lr: 1.0000e-02 eta: 16:48:40 time: 0.6209 data_time: 0.0390 memory: 24011 grad_norm: 4.2678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4323 loss: 1.4323 2022/08/04 18:28:43 - mmengine - INFO - Epoch(train) [6][800/940] lr: 1.0000e-02 eta: 16:48:05 time: 0.6186 data_time: 0.0360 memory: 24011 grad_norm: 4.5987 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4407 loss: 1.4407 2022/08/04 18:28:56 - mmengine - INFO - Epoch(train) [6][820/940] lr: 1.0000e-02 eta: 16:47:39 time: 0.6453 data_time: 0.0377 memory: 24011 grad_norm: 4.4298 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.5086 loss: 1.5086 2022/08/04 18:29:09 - mmengine - INFO - Epoch(train) [6][840/940] lr: 1.0000e-02 eta: 16:47:11 time: 0.6385 data_time: 0.0356 memory: 24011 grad_norm: 4.1335 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.4873 loss: 1.4873 2022/08/04 18:29:21 - mmengine - INFO - Epoch(train) [6][860/940] lr: 1.0000e-02 eta: 16:46:28 time: 0.5894 data_time: 0.0328 memory: 24011 grad_norm: 4.0901 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.5714 loss: 1.5714 2022/08/04 18:29:33 - mmengine - INFO - Epoch(train) [6][880/940] lr: 1.0000e-02 eta: 16:45:47 time: 0.5962 data_time: 0.0351 memory: 24011 grad_norm: 4.0974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5256 loss: 1.5256 2022/08/04 18:29:46 - mmengine - INFO - Epoch(train) [6][900/940] lr: 1.0000e-02 eta: 16:45:24 time: 0.6522 data_time: 0.0379 memory: 24011 grad_norm: 4.2999 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.3899 loss: 1.3899 2022/08/04 18:29:58 - mmengine - INFO - Epoch(train) [6][920/940] lr: 1.0000e-02 eta: 16:44:52 time: 0.6262 data_time: 0.0322 memory: 24011 grad_norm: 3.9736 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4048 loss: 1.4048 2022/08/04 18:30:10 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:30:10 - mmengine - INFO - Epoch(train) [6][940/940] lr: 1.0000e-02 eta: 16:44:06 time: 0.5793 data_time: 0.0254 memory: 24011 grad_norm: 4.3364 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4778 loss: 1.4778 2022/08/04 18:30:10 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/04 18:30:29 - mmengine - INFO - Epoch(val) [6][20/78] eta: 0:00:39 time: 0.6776 data_time: 0.5275 memory: 3625 2022/08/04 18:30:38 - mmengine - INFO - Epoch(val) [6][40/78] eta: 0:00:17 time: 0.4563 data_time: 0.3051 memory: 3625 2022/08/04 18:30:50 - mmengine - INFO - Epoch(val) [6][60/78] eta: 0:00:11 time: 0.6123 data_time: 0.4444 memory: 3625 2022/08/04 18:30:59 - mmengine - INFO - Epoch(val) [6][78/78] acc/top1: 0.7018 acc/top5: 0.8976 acc/mean1: 0.7017 2022/08/04 18:30:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/04 18:31:02 - mmengine - INFO - The best checkpoint with 0.7018 acc/top1 at 7 epoch is saved to best_acc/top1_epoch_7.pth. 2022/08/04 18:31:18 - mmengine - INFO - Epoch(train) [7][20/940] lr: 1.0000e-02 eta: 16:44:35 time: 0.8176 data_time: 0.2606 memory: 24011 grad_norm: 4.0645 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3690 loss: 1.3690 2022/08/04 18:31:30 - mmengine - INFO - Epoch(train) [7][40/940] lr: 1.0000e-02 eta: 16:43:54 time: 0.5939 data_time: 0.0460 memory: 24011 grad_norm: 4.2785 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3358 loss: 1.3358 2022/08/04 18:31:43 - mmengine - INFO - Epoch(train) [7][60/940] lr: 1.0000e-02 eta: 16:43:32 time: 0.6564 data_time: 0.1231 memory: 24011 grad_norm: 4.7034 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5391 loss: 1.5391 2022/08/04 18:31:55 - mmengine - INFO - Epoch(train) [7][80/940] lr: 1.0000e-02 eta: 16:42:49 time: 0.5859 data_time: 0.0413 memory: 24011 grad_norm: 4.4065 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4743 loss: 1.4743 2022/08/04 18:32:08 - mmengine - INFO - Epoch(train) [7][100/940] lr: 1.0000e-02 eta: 16:42:31 time: 0.6680 data_time: 0.1120 memory: 24011 grad_norm: 4.3323 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5151 loss: 1.5151 2022/08/04 18:32:21 - mmengine - INFO - Epoch(train) [7][120/940] lr: 1.0000e-02 eta: 16:41:59 time: 0.6203 data_time: 0.0733 memory: 24011 grad_norm: 4.0869 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4046 loss: 1.4046 2022/08/04 18:32:33 - mmengine - INFO - Epoch(train) [7][140/940] lr: 1.0000e-02 eta: 16:41:26 time: 0.6182 data_time: 0.0592 memory: 24011 grad_norm: 4.4573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5054 loss: 1.5054 2022/08/04 18:32:45 - mmengine - INFO - Epoch(train) [7][160/940] lr: 1.0000e-02 eta: 16:40:46 time: 0.5938 data_time: 0.0316 memory: 24011 grad_norm: 4.1572 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.6483 loss: 1.6483 2022/08/04 18:32:58 - mmengine - INFO - Epoch(train) [7][180/940] lr: 1.0000e-02 eta: 16:40:17 time: 0.6289 data_time: 0.0803 memory: 24011 grad_norm: 3.9786 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5304 loss: 1.5304 2022/08/04 18:33:10 - mmengine - INFO - Epoch(train) [7][200/940] lr: 1.0000e-02 eta: 16:39:42 time: 0.6124 data_time: 0.0543 memory: 24011 grad_norm: 4.0780 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4368 loss: 1.4368 2022/08/04 18:33:22 - mmengine - INFO - Epoch(train) [7][220/940] lr: 1.0000e-02 eta: 16:39:04 time: 0.5967 data_time: 0.0463 memory: 24011 grad_norm: 3.9511 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.4714 loss: 1.4714 2022/08/04 18:33:34 - mmengine - INFO - Epoch(train) [7][240/940] lr: 1.0000e-02 eta: 16:38:30 time: 0.6142 data_time: 0.0331 memory: 24011 grad_norm: 3.9518 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3375 loss: 1.3375 2022/08/04 18:33:47 - mmengine - INFO - Epoch(train) [7][260/940] lr: 1.0000e-02 eta: 16:38:11 time: 0.6605 data_time: 0.0366 memory: 24011 grad_norm: 3.9379 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4865 loss: 1.4865 2022/08/04 18:33:59 - mmengine - INFO - Epoch(train) [7][280/940] lr: 1.0000e-02 eta: 16:37:33 time: 0.5980 data_time: 0.0286 memory: 24011 grad_norm: 4.0768 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4107 loss: 1.4107 2022/08/04 18:34:12 - mmengine - INFO - Epoch(train) [7][300/940] lr: 1.0000e-02 eta: 16:37:01 time: 0.6177 data_time: 0.0473 memory: 24011 grad_norm: 4.7234 top1_acc: 0.5000 top5_acc: 0.6562 loss_cls: 1.5956 loss: 1.5956 2022/08/04 18:34:24 - mmengine - INFO - Epoch(train) [7][320/940] lr: 1.0000e-02 eta: 16:36:35 time: 0.6384 data_time: 0.0276 memory: 24011 grad_norm: 4.2058 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4049 loss: 1.4049 2022/08/04 18:34:38 - mmengine - INFO - Epoch(train) [7][340/940] lr: 1.0000e-02 eta: 16:36:15 time: 0.6577 data_time: 0.0543 memory: 24011 grad_norm: 4.2808 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3123 loss: 1.3123 2022/08/04 18:34:49 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:34:49 - mmengine - INFO - Epoch(train) [7][360/940] lr: 1.0000e-02 eta: 16:35:37 time: 0.5943 data_time: 0.0299 memory: 24011 grad_norm: 4.0763 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3948 loss: 1.3948 2022/08/04 18:35:03 - mmengine - INFO - Epoch(train) [7][380/940] lr: 1.0000e-02 eta: 16:35:21 time: 0.6718 data_time: 0.0351 memory: 24011 grad_norm: 4.7005 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3396 loss: 1.3396 2022/08/04 18:35:15 - mmengine - INFO - Epoch(train) [7][400/940] lr: 1.0000e-02 eta: 16:34:48 time: 0.6111 data_time: 0.0291 memory: 24011 grad_norm: 4.3314 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.6594 loss: 1.6594 2022/08/04 18:35:28 - mmengine - INFO - Epoch(train) [7][420/940] lr: 1.0000e-02 eta: 16:34:20 time: 0.6284 data_time: 0.0403 memory: 24011 grad_norm: 4.5974 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.4612 loss: 1.4612 2022/08/04 18:35:40 - mmengine - INFO - Epoch(train) [7][440/940] lr: 1.0000e-02 eta: 16:33:48 time: 0.6154 data_time: 0.0293 memory: 24011 grad_norm: 4.1898 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4745 loss: 1.4745 2022/08/04 18:35:52 - mmengine - INFO - Epoch(train) [7][460/940] lr: 1.0000e-02 eta: 16:33:16 time: 0.6140 data_time: 0.0360 memory: 24011 grad_norm: 4.0216 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4411 loss: 1.4411 2022/08/04 18:36:04 - mmengine - INFO - Epoch(train) [7][480/940] lr: 1.0000e-02 eta: 16:32:37 time: 0.5893 data_time: 0.0364 memory: 24011 grad_norm: 3.9582 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5008 loss: 1.5008 2022/08/04 18:36:17 - mmengine - INFO - Epoch(train) [7][500/940] lr: 1.0000e-02 eta: 16:32:13 time: 0.6410 data_time: 0.0414 memory: 24011 grad_norm: 4.2053 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2931 loss: 1.2931 2022/08/04 18:36:29 - mmengine - INFO - Epoch(train) [7][520/940] lr: 1.0000e-02 eta: 16:31:39 time: 0.6062 data_time: 0.0454 memory: 24011 grad_norm: 3.8611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4010 loss: 1.4010 2022/08/04 18:36:42 - mmengine - INFO - Epoch(train) [7][540/940] lr: 1.0000e-02 eta: 16:31:20 time: 0.6578 data_time: 0.0325 memory: 24011 grad_norm: 4.0133 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.5305 loss: 1.5305 2022/08/04 18:36:54 - mmengine - INFO - Epoch(train) [7][560/940] lr: 1.0000e-02 eta: 16:30:49 time: 0.6153 data_time: 0.0397 memory: 24011 grad_norm: 4.7440 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.5764 loss: 1.5764 2022/08/04 18:37:07 - mmengine - INFO - Epoch(train) [7][580/940] lr: 1.0000e-02 eta: 16:30:15 time: 0.6071 data_time: 0.0361 memory: 24011 grad_norm: 3.9756 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4543 loss: 1.4543 2022/08/04 18:37:19 - mmengine - INFO - Epoch(train) [7][600/940] lr: 1.0000e-02 eta: 16:29:52 time: 0.6400 data_time: 0.0332 memory: 24011 grad_norm: 4.2419 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.5999 loss: 1.5999 2022/08/04 18:37:32 - mmengine - INFO - Epoch(train) [7][620/940] lr: 1.0000e-02 eta: 16:29:18 time: 0.6060 data_time: 0.0343 memory: 24011 grad_norm: 4.6589 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4398 loss: 1.4398 2022/08/04 18:37:45 - mmengine - INFO - Epoch(train) [7][640/940] lr: 1.0000e-02 eta: 16:28:57 time: 0.6507 data_time: 0.0363 memory: 24011 grad_norm: 3.9232 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.3751 loss: 1.3751 2022/08/04 18:37:56 - mmengine - INFO - Epoch(train) [7][660/940] lr: 1.0000e-02 eta: 16:28:20 time: 0.5893 data_time: 0.0328 memory: 24011 grad_norm: 4.3709 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.5638 loss: 1.5638 2022/08/04 18:38:09 - mmengine - INFO - Epoch(train) [7][680/940] lr: 1.0000e-02 eta: 16:27:49 time: 0.6136 data_time: 0.0395 memory: 24011 grad_norm: 4.0668 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5074 loss: 1.5074 2022/08/04 18:38:21 - mmengine - INFO - Epoch(train) [7][700/940] lr: 1.0000e-02 eta: 16:27:14 time: 0.5990 data_time: 0.0337 memory: 24011 grad_norm: 6.0288 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3787 loss: 1.3787 2022/08/04 18:38:32 - mmengine - INFO - Epoch(train) [7][720/940] lr: 1.0000e-02 eta: 16:26:37 time: 0.5895 data_time: 0.0350 memory: 24011 grad_norm: 5.0276 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.6285 loss: 1.6285 2022/08/04 18:38:45 - mmengine - INFO - Epoch(train) [7][740/940] lr: 1.0000e-02 eta: 16:26:15 time: 0.6446 data_time: 0.0360 memory: 24011 grad_norm: 4.2366 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.4262 loss: 1.4262 2022/08/04 18:38:58 - mmengine - INFO - Epoch(train) [7][760/940] lr: 1.0000e-02 eta: 16:25:54 time: 0.6493 data_time: 0.0377 memory: 24011 grad_norm: 4.3286 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4857 loss: 1.4857 2022/08/04 18:39:11 - mmengine - INFO - Epoch(train) [7][780/940] lr: 1.0000e-02 eta: 16:25:28 time: 0.6297 data_time: 0.0316 memory: 24011 grad_norm: 4.4157 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.6316 loss: 1.6316 2022/08/04 18:39:23 - mmengine - INFO - Epoch(train) [7][800/940] lr: 1.0000e-02 eta: 16:24:52 time: 0.5940 data_time: 0.0411 memory: 24011 grad_norm: 4.1339 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3796 loss: 1.3796 2022/08/04 18:39:36 - mmengine - INFO - Epoch(train) [7][820/940] lr: 1.0000e-02 eta: 16:24:30 time: 0.6426 data_time: 0.0533 memory: 24011 grad_norm: 3.9205 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.4124 loss: 1.4124 2022/08/04 18:39:48 - mmengine - INFO - Epoch(train) [7][840/940] lr: 1.0000e-02 eta: 16:24:01 time: 0.6150 data_time: 0.0402 memory: 24011 grad_norm: 3.8998 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.5244 loss: 1.5244 2022/08/04 18:40:00 - mmengine - INFO - Epoch(train) [7][860/940] lr: 1.0000e-02 eta: 16:23:32 time: 0.6192 data_time: 0.0296 memory: 24011 grad_norm: 4.6838 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4360 loss: 1.4360 2022/08/04 18:40:13 - mmengine - INFO - Epoch(train) [7][880/940] lr: 1.0000e-02 eta: 16:23:07 time: 0.6307 data_time: 0.0394 memory: 24011 grad_norm: 4.3391 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.5653 loss: 1.5653 2022/08/04 18:40:25 - mmengine - INFO - Epoch(train) [7][900/940] lr: 1.0000e-02 eta: 16:22:40 time: 0.6254 data_time: 0.0410 memory: 24011 grad_norm: 4.0747 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.4150 loss: 1.4150 2022/08/04 18:40:38 - mmengine - INFO - Epoch(train) [7][920/940] lr: 1.0000e-02 eta: 16:22:11 time: 0.6162 data_time: 0.0541 memory: 24011 grad_norm: 4.1232 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3830 loss: 1.3830 2022/08/04 18:40:49 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:40:49 - mmengine - INFO - Epoch(train) [7][940/940] lr: 1.0000e-02 eta: 16:21:27 time: 0.5574 data_time: 0.0348 memory: 24011 grad_norm: 4.8952 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.4708 loss: 1.4708 2022/08/04 18:41:02 - mmengine - INFO - Epoch(val) [7][20/78] eta: 0:00:38 time: 0.6704 data_time: 0.5182 memory: 3625 2022/08/04 18:41:11 - mmengine - INFO - Epoch(val) [7][40/78] eta: 0:00:16 time: 0.4417 data_time: 0.2872 memory: 3625 2022/08/04 18:41:23 - mmengine - INFO - Epoch(val) [7][60/78] eta: 0:00:10 time: 0.6067 data_time: 0.4531 memory: 3625 2022/08/04 18:41:34 - mmengine - INFO - Epoch(val) [7][78/78] acc/top1: 0.6971 acc/top5: 0.8962 acc/mean1: 0.6969 2022/08/04 18:41:51 - mmengine - INFO - Epoch(train) [8][20/940] lr: 1.0000e-02 eta: 16:22:03 time: 0.8611 data_time: 0.2490 memory: 24011 grad_norm: 3.8036 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4117 loss: 1.4117 2022/08/04 18:42:04 - mmengine - INFO - Epoch(train) [8][40/940] lr: 1.0000e-02 eta: 16:21:36 time: 0.6219 data_time: 0.0394 memory: 24011 grad_norm: 4.2573 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3344 loss: 1.3344 2022/08/04 18:42:17 - mmengine - INFO - Epoch(train) [8][60/940] lr: 1.0000e-02 eta: 16:21:19 time: 0.6602 data_time: 0.0396 memory: 24011 grad_norm: 4.2774 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5131 loss: 1.5131 2022/08/04 18:42:30 - mmengine - INFO - Epoch(train) [8][80/940] lr: 1.0000e-02 eta: 16:20:56 time: 0.6375 data_time: 0.0327 memory: 24011 grad_norm: 4.1091 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4038 loss: 1.4038 2022/08/04 18:42:43 - mmengine - INFO - Epoch(train) [8][100/940] lr: 1.0000e-02 eta: 16:20:36 time: 0.6511 data_time: 0.0338 memory: 24011 grad_norm: 4.1440 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2711 loss: 1.2711 2022/08/04 18:42:54 - mmengine - INFO - Epoch(train) [8][120/940] lr: 1.0000e-02 eta: 16:20:01 time: 0.5898 data_time: 0.0265 memory: 24011 grad_norm: 4.1024 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.5290 loss: 1.5290 2022/08/04 18:43:08 - mmengine - INFO - Epoch(train) [8][140/940] lr: 1.0000e-02 eta: 16:19:47 time: 0.6711 data_time: 0.0389 memory: 24011 grad_norm: 4.5321 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3592 loss: 1.3592 2022/08/04 18:43:20 - mmengine - INFO - Epoch(train) [8][160/940] lr: 1.0000e-02 eta: 16:19:21 time: 0.6270 data_time: 0.0357 memory: 24011 grad_norm: 4.0489 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4287 loss: 1.4287 2022/08/04 18:43:32 - mmengine - INFO - Epoch(train) [8][180/940] lr: 1.0000e-02 eta: 16:18:48 time: 0.5976 data_time: 0.0339 memory: 24011 grad_norm: 4.0031 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.4321 loss: 1.4321 2022/08/04 18:43:45 - mmengine - INFO - Epoch(train) [8][200/940] lr: 1.0000e-02 eta: 16:18:19 time: 0.6103 data_time: 0.0321 memory: 24011 grad_norm: 4.1366 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4557 loss: 1.4557 2022/08/04 18:43:57 - mmengine - INFO - Epoch(train) [8][220/940] lr: 1.0000e-02 eta: 16:17:48 time: 0.6072 data_time: 0.0363 memory: 24011 grad_norm: 4.1389 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4149 loss: 1.4149 2022/08/04 18:44:09 - mmengine - INFO - Epoch(train) [8][240/940] lr: 1.0000e-02 eta: 16:17:23 time: 0.6277 data_time: 0.0311 memory: 24011 grad_norm: 4.2663 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.3963 loss: 1.3963 2022/08/04 18:44:23 - mmengine - INFO - Epoch(train) [8][260/940] lr: 1.0000e-02 eta: 16:17:09 time: 0.6675 data_time: 0.0472 memory: 24011 grad_norm: 4.1835 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3562 loss: 1.3562 2022/08/04 18:44:35 - mmengine - INFO - Epoch(train) [8][280/940] lr: 1.0000e-02 eta: 16:16:46 time: 0.6374 data_time: 0.0347 memory: 24011 grad_norm: 5.1192 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3449 loss: 1.3449 2022/08/04 18:44:49 - mmengine - INFO - Epoch(train) [8][300/940] lr: 1.0000e-02 eta: 16:16:30 time: 0.6620 data_time: 0.0390 memory: 24011 grad_norm: 4.2710 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3973 loss: 1.3973 2022/08/04 18:45:00 - mmengine - INFO - Epoch(train) [8][320/940] lr: 1.0000e-02 eta: 16:15:53 time: 0.5801 data_time: 0.0404 memory: 24011 grad_norm: 4.0884 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4061 loss: 1.4061 2022/08/04 18:45:12 - mmengine - INFO - Epoch(train) [8][340/940] lr: 1.0000e-02 eta: 16:15:25 time: 0.6123 data_time: 0.0346 memory: 24011 grad_norm: 4.1030 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5049 loss: 1.5049 2022/08/04 18:45:25 - mmengine - INFO - Epoch(train) [8][360/940] lr: 1.0000e-02 eta: 16:14:58 time: 0.6185 data_time: 0.0425 memory: 24011 grad_norm: 4.0984 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3545 loss: 1.3545 2022/08/04 18:45:38 - mmengine - INFO - Epoch(train) [8][380/940] lr: 1.0000e-02 eta: 16:14:39 time: 0.6485 data_time: 0.0310 memory: 24011 grad_norm: 4.1229 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4892 loss: 1.4892 2022/08/04 18:45:50 - mmengine - INFO - Epoch(train) [8][400/940] lr: 1.0000e-02 eta: 16:14:10 time: 0.6102 data_time: 0.0435 memory: 24011 grad_norm: 3.9241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3936 loss: 1.3936 2022/08/04 18:46:03 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:46:03 - mmengine - INFO - Epoch(train) [8][420/940] lr: 1.0000e-02 eta: 16:13:45 time: 0.6272 data_time: 0.0382 memory: 24011 grad_norm: 3.9559 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4067 loss: 1.4067 2022/08/04 18:46:14 - mmengine - INFO - Epoch(train) [8][440/940] lr: 1.0000e-02 eta: 16:13:13 time: 0.5947 data_time: 0.0388 memory: 24011 grad_norm: 4.2855 top1_acc: 0.5000 top5_acc: 0.7188 loss_cls: 1.5202 loss: 1.5202 2022/08/04 18:46:27 - mmengine - INFO - Epoch(train) [8][460/940] lr: 1.0000e-02 eta: 16:12:45 time: 0.6127 data_time: 0.0368 memory: 24011 grad_norm: 4.1612 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.4273 loss: 1.4273 2022/08/04 18:46:39 - mmengine - INFO - Epoch(train) [8][480/940] lr: 1.0000e-02 eta: 16:12:19 time: 0.6192 data_time: 0.0362 memory: 24011 grad_norm: 3.9770 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4517 loss: 1.4517 2022/08/04 18:46:51 - mmengine - INFO - Epoch(train) [8][500/940] lr: 1.0000e-02 eta: 16:11:47 time: 0.5971 data_time: 0.0391 memory: 24011 grad_norm: 4.2483 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3147 loss: 1.3147 2022/08/04 18:47:04 - mmengine - INFO - Epoch(train) [8][520/940] lr: 1.0000e-02 eta: 16:11:25 time: 0.6350 data_time: 0.0400 memory: 24011 grad_norm: 4.3025 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4552 loss: 1.4552 2022/08/04 18:47:17 - mmengine - INFO - Epoch(train) [8][540/940] lr: 1.0000e-02 eta: 16:11:09 time: 0.6595 data_time: 0.0345 memory: 24011 grad_norm: 3.8083 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2607 loss: 1.2607 2022/08/04 18:47:29 - mmengine - INFO - Epoch(train) [8][560/940] lr: 1.0000e-02 eta: 16:10:38 time: 0.5977 data_time: 0.0441 memory: 24011 grad_norm: 4.0254 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3476 loss: 1.3476 2022/08/04 18:47:41 - mmengine - INFO - Epoch(train) [8][580/940] lr: 1.0000e-02 eta: 16:10:10 time: 0.6101 data_time: 0.0346 memory: 24011 grad_norm: 3.7789 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4273 loss: 1.4273 2022/08/04 18:47:54 - mmengine - INFO - Epoch(train) [8][600/940] lr: 1.0000e-02 eta: 16:09:51 time: 0.6500 data_time: 0.0357 memory: 24011 grad_norm: 4.1680 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4046 loss: 1.4046 2022/08/04 18:48:07 - mmengine - INFO - Epoch(train) [8][620/940] lr: 1.0000e-02 eta: 16:09:26 time: 0.6194 data_time: 0.0395 memory: 24011 grad_norm: 4.0583 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3997 loss: 1.3997 2022/08/04 18:48:19 - mmengine - INFO - Epoch(train) [8][640/940] lr: 1.0000e-02 eta: 16:09:01 time: 0.6236 data_time: 0.0415 memory: 24011 grad_norm: 4.0012 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3657 loss: 1.3657 2022/08/04 18:48:31 - mmengine - INFO - Epoch(train) [8][660/940] lr: 1.0000e-02 eta: 16:08:31 time: 0.6027 data_time: 0.0436 memory: 24011 grad_norm: 3.8792 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4816 loss: 1.4816 2022/08/04 18:48:44 - mmengine - INFO - Epoch(train) [8][680/940] lr: 1.0000e-02 eta: 16:08:08 time: 0.6275 data_time: 0.0512 memory: 24011 grad_norm: 4.1443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4167 loss: 1.4167 2022/08/04 18:48:56 - mmengine - INFO - Epoch(train) [8][700/940] lr: 1.0000e-02 eta: 16:07:40 time: 0.6083 data_time: 0.0318 memory: 24011 grad_norm: 4.0791 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3591 loss: 1.3591 2022/08/04 18:49:08 - mmengine - INFO - Epoch(train) [8][720/940] lr: 1.0000e-02 eta: 16:07:15 time: 0.6202 data_time: 0.0424 memory: 24011 grad_norm: 4.5137 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.5433 loss: 1.5433 2022/08/04 18:49:21 - mmengine - INFO - Epoch(train) [8][740/940] lr: 1.0000e-02 eta: 16:06:57 time: 0.6519 data_time: 0.0303 memory: 24011 grad_norm: 4.1585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3524 loss: 1.3524 2022/08/04 18:49:34 - mmengine - INFO - Epoch(train) [8][760/940] lr: 1.0000e-02 eta: 16:06:34 time: 0.6280 data_time: 0.0468 memory: 24011 grad_norm: 4.2762 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.5485 loss: 1.5485 2022/08/04 18:49:46 - mmengine - INFO - Epoch(train) [8][780/940] lr: 1.0000e-02 eta: 16:06:14 time: 0.6398 data_time: 0.0357 memory: 24011 grad_norm: 4.6379 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.5433 loss: 1.5433 2022/08/04 18:49:59 - mmengine - INFO - Epoch(train) [8][800/940] lr: 1.0000e-02 eta: 16:05:56 time: 0.6489 data_time: 0.0434 memory: 24011 grad_norm: 3.9724 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4805 loss: 1.4805 2022/08/04 18:50:11 - mmengine - INFO - Epoch(train) [8][820/940] lr: 1.0000e-02 eta: 16:05:26 time: 0.6008 data_time: 0.0341 memory: 24011 grad_norm: 4.6215 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3526 loss: 1.3526 2022/08/04 18:50:24 - mmengine - INFO - Epoch(train) [8][840/940] lr: 1.0000e-02 eta: 16:05:08 time: 0.6476 data_time: 0.0335 memory: 24011 grad_norm: 4.1935 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4270 loss: 1.4270 2022/08/04 18:50:37 - mmengine - INFO - Epoch(train) [8][860/940] lr: 1.0000e-02 eta: 16:04:45 time: 0.6280 data_time: 0.0375 memory: 24011 grad_norm: 4.2358 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.4906 loss: 1.4906 2022/08/04 18:50:49 - mmengine - INFO - Epoch(train) [8][880/940] lr: 1.0000e-02 eta: 16:04:17 time: 0.6039 data_time: 0.0404 memory: 24011 grad_norm: 4.2975 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3708 loss: 1.3708 2022/08/04 18:51:02 - mmengine - INFO - Epoch(train) [8][900/940] lr: 1.0000e-02 eta: 16:03:55 time: 0.6308 data_time: 0.0338 memory: 24011 grad_norm: 4.7351 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4227 loss: 1.4227 2022/08/04 18:51:14 - mmengine - INFO - Epoch(train) [8][920/940] lr: 1.0000e-02 eta: 16:03:30 time: 0.6188 data_time: 0.0350 memory: 24011 grad_norm: 4.1568 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.3431 loss: 1.3431 2022/08/04 18:51:25 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:51:25 - mmengine - INFO - Epoch(train) [8][940/940] lr: 1.0000e-02 eta: 16:02:48 time: 0.5448 data_time: 0.0245 memory: 24011 grad_norm: 4.4978 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.3743 loss: 1.3743 2022/08/04 18:51:43 - mmengine - INFO - Epoch(val) [8][20/78] eta: 0:00:52 time: 0.9046 data_time: 0.7523 memory: 3625 2022/08/04 18:51:52 - mmengine - INFO - Epoch(val) [8][40/78] eta: 0:00:16 time: 0.4436 data_time: 0.2928 memory: 3625 2022/08/04 18:52:04 - mmengine - INFO - Epoch(val) [8][60/78] eta: 0:00:10 time: 0.5939 data_time: 0.4392 memory: 3625 2022/08/04 18:52:14 - mmengine - INFO - Epoch(val) [8][78/78] acc/top1: 0.7088 acc/top5: 0.9019 acc/mean1: 0.7087 2022/08/04 18:52:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_7.pth is removed 2022/08/04 18:52:19 - mmengine - INFO - The best checkpoint with 0.7088 acc/top1 at 9 epoch is saved to best_acc/top1_epoch_9.pth. 2022/08/04 18:52:35 - mmengine - INFO - Epoch(train) [9][20/940] lr: 1.0000e-02 eta: 16:03:04 time: 0.7971 data_time: 0.2519 memory: 24011 grad_norm: 3.9265 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4105 loss: 1.4105 2022/08/04 18:52:47 - mmengine - INFO - Epoch(train) [9][40/940] lr: 1.0000e-02 eta: 16:02:35 time: 0.6007 data_time: 0.0702 memory: 24011 grad_norm: 4.0680 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2865 loss: 1.2865 2022/08/04 18:53:00 - mmengine - INFO - Epoch(train) [9][60/940] lr: 1.0000e-02 eta: 16:02:18 time: 0.6528 data_time: 0.1185 memory: 24011 grad_norm: 4.0786 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.3369 loss: 1.3369 2022/08/04 18:53:13 - mmengine - INFO - Epoch(train) [9][80/940] lr: 1.0000e-02 eta: 16:02:02 time: 0.6525 data_time: 0.1077 memory: 24011 grad_norm: 4.2254 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3476 loss: 1.3476 2022/08/04 18:53:26 - mmengine - INFO - Epoch(train) [9][100/940] lr: 1.0000e-02 eta: 16:01:36 time: 0.6126 data_time: 0.0681 memory: 24011 grad_norm: 4.3016 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3851 loss: 1.3851 2022/08/04 18:53:38 - mmengine - INFO - Epoch(train) [9][120/940] lr: 1.0000e-02 eta: 16:01:07 time: 0.6014 data_time: 0.0330 memory: 24011 grad_norm: 4.4702 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.2664 loss: 1.2664 2022/08/04 18:53:51 - mmengine - INFO - Epoch(train) [9][140/940] lr: 1.0000e-02 eta: 16:00:48 time: 0.6439 data_time: 0.0693 memory: 24011 grad_norm: 4.1245 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3661 loss: 1.3661 2022/08/04 18:54:03 - mmengine - INFO - Epoch(train) [9][160/940] lr: 1.0000e-02 eta: 16:00:22 time: 0.6074 data_time: 0.0543 memory: 24011 grad_norm: 4.8138 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3753 loss: 1.3753 2022/08/04 18:54:16 - mmengine - INFO - Epoch(train) [9][180/940] lr: 1.0000e-02 eta: 16:00:01 time: 0.6355 data_time: 0.0870 memory: 24011 grad_norm: 4.2737 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.3472 loss: 1.3472 2022/08/04 18:54:28 - mmengine - INFO - Epoch(train) [9][200/940] lr: 1.0000e-02 eta: 15:59:37 time: 0.6185 data_time: 0.0673 memory: 24011 grad_norm: 3.9321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3648 loss: 1.3648 2022/08/04 18:54:40 - mmengine - INFO - Epoch(train) [9][220/940] lr: 1.0000e-02 eta: 15:59:15 time: 0.6275 data_time: 0.0826 memory: 24011 grad_norm: 4.0980 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.5180 loss: 1.5180 2022/08/04 18:54:53 - mmengine - INFO - Epoch(train) [9][240/940] lr: 1.0000e-02 eta: 15:58:49 time: 0.6144 data_time: 0.0428 memory: 24011 grad_norm: 4.0982 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3352 loss: 1.3352 2022/08/04 18:55:05 - mmengine - INFO - Epoch(train) [9][260/940] lr: 1.0000e-02 eta: 15:58:29 time: 0.6352 data_time: 0.0519 memory: 24011 grad_norm: 4.6318 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.4191 loss: 1.4191 2022/08/04 18:55:18 - mmengine - INFO - Epoch(train) [9][280/940] lr: 1.0000e-02 eta: 15:58:04 time: 0.6146 data_time: 0.0576 memory: 24011 grad_norm: 4.2979 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3301 loss: 1.3301 2022/08/04 18:55:30 - mmengine - INFO - Epoch(train) [9][300/940] lr: 1.0000e-02 eta: 15:57:39 time: 0.6145 data_time: 0.0360 memory: 24011 grad_norm: 3.9117 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4146 loss: 1.4146 2022/08/04 18:55:44 - mmengine - INFO - Epoch(train) [9][320/940] lr: 1.0000e-02 eta: 15:57:29 time: 0.6820 data_time: 0.0597 memory: 24011 grad_norm: 4.1014 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2965 loss: 1.2965 2022/08/04 18:55:55 - mmengine - INFO - Epoch(train) [9][340/940] lr: 1.0000e-02 eta: 15:56:58 time: 0.5845 data_time: 0.0393 memory: 24011 grad_norm: 4.1183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3372 loss: 1.3372 2022/08/04 18:56:08 - mmengine - INFO - Epoch(train) [9][360/940] lr: 1.0000e-02 eta: 15:56:34 time: 0.6173 data_time: 0.0727 memory: 24011 grad_norm: 4.2404 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3920 loss: 1.3920 2022/08/04 18:56:21 - mmengine - INFO - Epoch(train) [9][380/940] lr: 1.0000e-02 eta: 15:56:22 time: 0.6743 data_time: 0.1180 memory: 24011 grad_norm: 4.1171 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2960 loss: 1.2960 2022/08/04 18:56:34 - mmengine - INFO - Epoch(train) [9][400/940] lr: 1.0000e-02 eta: 15:56:01 time: 0.6287 data_time: 0.0826 memory: 24011 grad_norm: 4.2668 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3622 loss: 1.3622 2022/08/04 18:56:46 - mmengine - INFO - Epoch(train) [9][420/940] lr: 1.0000e-02 eta: 15:55:32 time: 0.5953 data_time: 0.0310 memory: 24011 grad_norm: 4.2449 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2411 loss: 1.2411 2022/08/04 18:56:57 - mmengine - INFO - Epoch(train) [9][440/940] lr: 1.0000e-02 eta: 15:55:02 time: 0.5911 data_time: 0.0457 memory: 24011 grad_norm: 4.4864 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3539 loss: 1.3539 2022/08/04 18:57:10 - mmengine - INFO - Epoch(train) [9][460/940] lr: 1.0000e-02 eta: 15:54:44 time: 0.6424 data_time: 0.0301 memory: 24011 grad_norm: 4.0805 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4995 loss: 1.4995 2022/08/04 18:57:22 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 18:57:22 - mmengine - INFO - Epoch(train) [9][480/940] lr: 1.0000e-02 eta: 15:54:17 time: 0.6026 data_time: 0.0352 memory: 24011 grad_norm: 4.1865 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4746 loss: 1.4746 2022/08/04 18:57:35 - mmengine - INFO - Epoch(train) [9][500/940] lr: 1.0000e-02 eta: 15:53:58 time: 0.6388 data_time: 0.0343 memory: 24011 grad_norm: 4.1339 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3571 loss: 1.3571 2022/08/04 18:57:48 - mmengine - INFO - Epoch(train) [9][520/940] lr: 1.0000e-02 eta: 15:53:37 time: 0.6290 data_time: 0.0383 memory: 24011 grad_norm: 4.1003 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3925 loss: 1.3925 2022/08/04 18:58:01 - mmengine - INFO - Epoch(train) [9][540/940] lr: 1.0000e-02 eta: 15:53:20 time: 0.6481 data_time: 0.0390 memory: 24011 grad_norm: 4.4696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4198 loss: 1.4198 2022/08/04 18:58:13 - mmengine - INFO - Epoch(train) [9][560/940] lr: 1.0000e-02 eta: 15:52:52 time: 0.5962 data_time: 0.0359 memory: 24011 grad_norm: 4.2253 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4208 loss: 1.4208 2022/08/04 18:58:25 - mmengine - INFO - Epoch(train) [9][580/940] lr: 1.0000e-02 eta: 15:52:27 time: 0.6100 data_time: 0.0442 memory: 24011 grad_norm: 4.5268 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4862 loss: 1.4862 2022/08/04 18:58:37 - mmengine - INFO - Epoch(train) [9][600/940] lr: 1.0000e-02 eta: 15:52:02 time: 0.6120 data_time: 0.0325 memory: 24011 grad_norm: 4.1959 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3104 loss: 1.3104 2022/08/04 18:58:50 - mmengine - INFO - Epoch(train) [9][620/940] lr: 1.0000e-02 eta: 15:51:42 time: 0.6342 data_time: 0.0382 memory: 24011 grad_norm: 4.3967 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4309 loss: 1.4309 2022/08/04 18:59:02 - mmengine - INFO - Epoch(train) [9][640/940] lr: 1.0000e-02 eta: 15:51:20 time: 0.6231 data_time: 0.0372 memory: 24011 grad_norm: 4.0972 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.4244 loss: 1.4244 2022/08/04 18:59:15 - mmengine - INFO - Epoch(train) [9][660/940] lr: 1.0000e-02 eta: 15:51:00 time: 0.6314 data_time: 0.0356 memory: 24011 grad_norm: 4.5826 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4431 loss: 1.4431 2022/08/04 18:59:27 - mmengine - INFO - Epoch(train) [9][680/940] lr: 1.0000e-02 eta: 15:50:37 time: 0.6183 data_time: 0.0413 memory: 24011 grad_norm: 4.0944 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2371 loss: 1.2371 2022/08/04 18:59:40 - mmengine - INFO - Epoch(train) [9][700/940] lr: 1.0000e-02 eta: 15:50:18 time: 0.6391 data_time: 0.0323 memory: 24011 grad_norm: 4.4763 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4300 loss: 1.4300 2022/08/04 18:59:52 - mmengine - INFO - Epoch(train) [9][720/940] lr: 1.0000e-02 eta: 15:49:54 time: 0.6146 data_time: 0.0410 memory: 24011 grad_norm: 4.3565 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4536 loss: 1.4536 2022/08/04 19:00:04 - mmengine - INFO - Epoch(train) [9][740/940] lr: 1.0000e-02 eta: 15:49:27 time: 0.5972 data_time: 0.0386 memory: 24011 grad_norm: 3.9536 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3914 loss: 1.3914 2022/08/04 19:00:17 - mmengine - INFO - Epoch(train) [9][760/940] lr: 1.0000e-02 eta: 15:49:06 time: 0.6288 data_time: 0.0426 memory: 24011 grad_norm: 3.9837 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4053 loss: 1.4053 2022/08/04 19:00:30 - mmengine - INFO - Epoch(train) [9][780/940] lr: 1.0000e-02 eta: 15:48:48 time: 0.6408 data_time: 0.0366 memory: 24011 grad_norm: 4.0872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4521 loss: 1.4521 2022/08/04 19:00:42 - mmengine - INFO - Epoch(train) [9][800/940] lr: 1.0000e-02 eta: 15:48:26 time: 0.6238 data_time: 0.0377 memory: 24011 grad_norm: 4.0452 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4516 loss: 1.4516 2022/08/04 19:00:55 - mmengine - INFO - Epoch(train) [9][820/940] lr: 1.0000e-02 eta: 15:48:06 time: 0.6279 data_time: 0.0340 memory: 24011 grad_norm: 4.6108 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3589 loss: 1.3589 2022/08/04 19:01:07 - mmengine - INFO - Epoch(train) [9][840/940] lr: 1.0000e-02 eta: 15:47:37 time: 0.5900 data_time: 0.0345 memory: 24011 grad_norm: 4.2829 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4050 loss: 1.4050 2022/08/04 19:01:19 - mmengine - INFO - Epoch(train) [9][860/940] lr: 1.0000e-02 eta: 15:47:16 time: 0.6228 data_time: 0.0381 memory: 24011 grad_norm: 3.9330 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.5228 loss: 1.5228 2022/08/04 19:01:31 - mmengine - INFO - Epoch(train) [9][880/940] lr: 1.0000e-02 eta: 15:46:54 time: 0.6244 data_time: 0.0392 memory: 24011 grad_norm: 4.4777 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3870 loss: 1.3870 2022/08/04 19:01:43 - mmengine - INFO - Epoch(train) [9][900/940] lr: 1.0000e-02 eta: 15:46:28 time: 0.6019 data_time: 0.0421 memory: 24011 grad_norm: 3.9987 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.4414 loss: 1.4414 2022/08/04 19:01:57 - mmengine - INFO - Epoch(train) [9][920/940] lr: 1.0000e-02 eta: 15:46:14 time: 0.6596 data_time: 0.1002 memory: 24011 grad_norm: 4.4836 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3367 loss: 1.3367 2022/08/04 19:02:07 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:02:07 - mmengine - INFO - Epoch(train) [9][940/940] lr: 1.0000e-02 eta: 15:45:36 time: 0.5395 data_time: 0.0302 memory: 24011 grad_norm: 4.7478 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.2807 loss: 1.2807 2022/08/04 19:02:08 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/04 19:02:27 - mmengine - INFO - Epoch(val) [9][20/78] eta: 0:00:41 time: 0.7085 data_time: 0.5552 memory: 3625 2022/08/04 19:02:36 - mmengine - INFO - Epoch(val) [9][40/78] eta: 0:00:16 time: 0.4322 data_time: 0.2838 memory: 3625 2022/08/04 19:02:48 - mmengine - INFO - Epoch(val) [9][60/78] eta: 0:00:10 time: 0.6057 data_time: 0.4558 memory: 3625 2022/08/04 19:02:57 - mmengine - INFO - Epoch(val) [9][78/78] acc/top1: 0.7047 acc/top5: 0.8981 acc/mean1: 0.7045 2022/08/04 19:03:14 - mmengine - INFO - Epoch(train) [10][20/940] lr: 1.0000e-02 eta: 15:46:00 time: 0.8458 data_time: 0.2532 memory: 24011 grad_norm: 4.3573 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4424 loss: 1.4424 2022/08/04 19:03:26 - mmengine - INFO - Epoch(train) [10][40/940] lr: 1.0000e-02 eta: 15:45:39 time: 0.6298 data_time: 0.0330 memory: 24011 grad_norm: 4.3714 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2188 loss: 1.2188 2022/08/04 19:03:40 - mmengine - INFO - Epoch(train) [10][60/940] lr: 1.0000e-02 eta: 15:45:27 time: 0.6677 data_time: 0.0373 memory: 24011 grad_norm: 4.5603 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1937 loss: 1.1937 2022/08/04 19:03:52 - mmengine - INFO - Epoch(train) [10][80/940] lr: 1.0000e-02 eta: 15:45:04 time: 0.6139 data_time: 0.0293 memory: 24011 grad_norm: 4.8216 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2582 loss: 1.2582 2022/08/04 19:04:04 - mmengine - INFO - Epoch(train) [10][100/940] lr: 1.0000e-02 eta: 15:44:41 time: 0.6163 data_time: 0.0370 memory: 24011 grad_norm: 4.1474 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3959 loss: 1.3959 2022/08/04 19:04:17 - mmengine - INFO - Epoch(train) [10][120/940] lr: 1.0000e-02 eta: 15:44:19 time: 0.6214 data_time: 0.0330 memory: 24011 grad_norm: 4.0075 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3765 loss: 1.3765 2022/08/04 19:04:30 - mmengine - INFO - Epoch(train) [10][140/940] lr: 1.0000e-02 eta: 15:44:02 time: 0.6435 data_time: 0.0410 memory: 24011 grad_norm: 3.9663 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3084 loss: 1.3084 2022/08/04 19:04:42 - mmengine - INFO - Epoch(train) [10][160/940] lr: 1.0000e-02 eta: 15:43:39 time: 0.6143 data_time: 0.0345 memory: 24011 grad_norm: 3.9572 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3286 loss: 1.3286 2022/08/04 19:04:55 - mmengine - INFO - Epoch(train) [10][180/940] lr: 1.0000e-02 eta: 15:43:23 time: 0.6479 data_time: 0.0375 memory: 24011 grad_norm: 4.1046 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4136 loss: 1.4136 2022/08/04 19:05:06 - mmengine - INFO - Epoch(train) [10][200/940] lr: 1.0000e-02 eta: 15:42:53 time: 0.5798 data_time: 0.0343 memory: 24011 grad_norm: 4.0420 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3576 loss: 1.3576 2022/08/04 19:05:19 - mmengine - INFO - Epoch(train) [10][220/940] lr: 1.0000e-02 eta: 15:42:34 time: 0.6333 data_time: 0.0545 memory: 24011 grad_norm: 4.7170 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3106 loss: 1.3106 2022/08/04 19:05:32 - mmengine - INFO - Epoch(train) [10][240/940] lr: 1.0000e-02 eta: 15:42:16 time: 0.6360 data_time: 0.0352 memory: 24011 grad_norm: 3.8480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2473 loss: 1.2473 2022/08/04 19:05:45 - mmengine - INFO - Epoch(train) [10][260/940] lr: 1.0000e-02 eta: 15:41:59 time: 0.6440 data_time: 0.0351 memory: 24011 grad_norm: 4.0178 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.3737 loss: 1.3737 2022/08/04 19:05:57 - mmengine - INFO - Epoch(train) [10][280/940] lr: 1.0000e-02 eta: 15:41:32 time: 0.5952 data_time: 0.0368 memory: 24011 grad_norm: 3.9451 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.4023 loss: 1.4023 2022/08/04 19:06:10 - mmengine - INFO - Epoch(train) [10][300/940] lr: 1.0000e-02 eta: 15:41:15 time: 0.6421 data_time: 0.0392 memory: 24011 grad_norm: 4.1474 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.4395 loss: 1.4395 2022/08/04 19:06:22 - mmengine - INFO - Epoch(train) [10][320/940] lr: 1.0000e-02 eta: 15:40:53 time: 0.6189 data_time: 0.0452 memory: 24011 grad_norm: 3.9309 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2190 loss: 1.2190 2022/08/04 19:06:34 - mmengine - INFO - Epoch(train) [10][340/940] lr: 1.0000e-02 eta: 15:40:35 time: 0.6360 data_time: 0.0356 memory: 24011 grad_norm: 4.3004 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.4428 loss: 1.4428 2022/08/04 19:06:47 - mmengine - INFO - Epoch(train) [10][360/940] lr: 1.0000e-02 eta: 15:40:13 time: 0.6164 data_time: 0.0308 memory: 24011 grad_norm: 4.2128 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3693 loss: 1.3693 2022/08/04 19:06:59 - mmengine - INFO - Epoch(train) [10][380/940] lr: 1.0000e-02 eta: 15:39:49 time: 0.6051 data_time: 0.0331 memory: 24011 grad_norm: 3.9502 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3576 loss: 1.3576 2022/08/04 19:07:11 - mmengine - INFO - Epoch(train) [10][400/940] lr: 1.0000e-02 eta: 15:39:28 time: 0.6231 data_time: 0.0334 memory: 24011 grad_norm: 4.0759 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3456 loss: 1.3456 2022/08/04 19:07:24 - mmengine - INFO - Epoch(train) [10][420/940] lr: 1.0000e-02 eta: 15:39:12 time: 0.6498 data_time: 0.0339 memory: 24011 grad_norm: 4.0784 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3870 loss: 1.3870 2022/08/04 19:07:36 - mmengine - INFO - Epoch(train) [10][440/940] lr: 1.0000e-02 eta: 15:38:48 time: 0.6024 data_time: 0.0355 memory: 24011 grad_norm: 3.8998 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3435 loss: 1.3435 2022/08/04 19:07:49 - mmengine - INFO - Epoch(train) [10][460/940] lr: 1.0000e-02 eta: 15:38:25 time: 0.6122 data_time: 0.0335 memory: 24011 grad_norm: 3.9814 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1849 loss: 1.1849 2022/08/04 19:08:01 - mmengine - INFO - Epoch(train) [10][480/940] lr: 1.0000e-02 eta: 15:38:07 time: 0.6398 data_time: 0.0330 memory: 24011 grad_norm: 5.8630 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3442 loss: 1.3442 2022/08/04 19:08:15 - mmengine - INFO - Epoch(train) [10][500/940] lr: 1.0000e-02 eta: 15:37:54 time: 0.6597 data_time: 0.0395 memory: 24011 grad_norm: 4.4129 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.3781 loss: 1.3781 2022/08/04 19:08:27 - mmengine - INFO - Epoch(train) [10][520/940] lr: 1.0000e-02 eta: 15:37:32 time: 0.6157 data_time: 0.0329 memory: 24011 grad_norm: 4.2105 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3149 loss: 1.3149 2022/08/04 19:08:39 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:08:39 - mmengine - INFO - Epoch(train) [10][540/940] lr: 1.0000e-02 eta: 15:37:03 time: 0.5803 data_time: 0.0347 memory: 24011 grad_norm: 4.2986 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4539 loss: 1.4539 2022/08/04 19:08:52 - mmengine - INFO - Epoch(train) [10][560/940] lr: 1.0000e-02 eta: 15:36:48 time: 0.6512 data_time: 0.0355 memory: 24011 grad_norm: 4.3756 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.4326 loss: 1.4326 2022/08/04 19:09:04 - mmengine - INFO - Epoch(train) [10][580/940] lr: 1.0000e-02 eta: 15:36:24 time: 0.6007 data_time: 0.0366 memory: 24011 grad_norm: 4.0360 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3431 loss: 1.3431 2022/08/04 19:09:15 - mmengine - INFO - Epoch(train) [10][600/940] lr: 1.0000e-02 eta: 15:35:57 time: 0.5895 data_time: 0.0341 memory: 24011 grad_norm: 3.8869 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2254 loss: 1.2254 2022/08/04 19:09:28 - mmengine - INFO - Epoch(train) [10][620/940] lr: 1.0000e-02 eta: 15:35:35 time: 0.6155 data_time: 0.0429 memory: 24011 grad_norm: 4.0338 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3515 loss: 1.3515 2022/08/04 19:09:40 - mmengine - INFO - Epoch(train) [10][640/940] lr: 1.0000e-02 eta: 15:35:17 time: 0.6327 data_time: 0.0343 memory: 24011 grad_norm: 4.4764 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4456 loss: 1.4456 2022/08/04 19:09:53 - mmengine - INFO - Epoch(train) [10][660/940] lr: 1.0000e-02 eta: 15:34:57 time: 0.6277 data_time: 0.0456 memory: 24011 grad_norm: 3.8247 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3645 loss: 1.3645 2022/08/04 19:10:05 - mmengine - INFO - Epoch(train) [10][680/940] lr: 1.0000e-02 eta: 15:34:37 time: 0.6239 data_time: 0.0356 memory: 24011 grad_norm: 4.2888 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3633 loss: 1.3633 2022/08/04 19:10:19 - mmengine - INFO - Epoch(train) [10][700/940] lr: 1.0000e-02 eta: 15:34:26 time: 0.6738 data_time: 0.0374 memory: 24011 grad_norm: 3.8090 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3028 loss: 1.3028 2022/08/04 19:10:32 - mmengine - INFO - Epoch(train) [10][720/940] lr: 1.0000e-02 eta: 15:34:13 time: 0.6591 data_time: 0.0335 memory: 24011 grad_norm: 3.8518 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4844 loss: 1.4844 2022/08/04 19:10:44 - mmengine - INFO - Epoch(train) [10][740/940] lr: 1.0000e-02 eta: 15:33:45 time: 0.5834 data_time: 0.0413 memory: 24011 grad_norm: 3.9475 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2980 loss: 1.2980 2022/08/04 19:10:57 - mmengine - INFO - Epoch(train) [10][760/940] lr: 1.0000e-02 eta: 15:33:32 time: 0.6612 data_time: 0.0337 memory: 24011 grad_norm: 4.1093 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3162 loss: 1.3162 2022/08/04 19:11:09 - mmengine - INFO - Epoch(train) [10][780/940] lr: 1.0000e-02 eta: 15:33:04 time: 0.5781 data_time: 0.0349 memory: 24011 grad_norm: 3.8845 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2639 loss: 1.2639 2022/08/04 19:11:21 - mmengine - INFO - Epoch(train) [10][800/940] lr: 1.0000e-02 eta: 15:32:42 time: 0.6161 data_time: 0.0312 memory: 24011 grad_norm: 4.0869 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3522 loss: 1.3522 2022/08/04 19:11:33 - mmengine - INFO - Epoch(train) [10][820/940] lr: 1.0000e-02 eta: 15:32:22 time: 0.6235 data_time: 0.0430 memory: 24011 grad_norm: 4.0952 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2542 loss: 1.2542 2022/08/04 19:11:46 - mmengine - INFO - Epoch(train) [10][840/940] lr: 1.0000e-02 eta: 15:32:06 time: 0.6425 data_time: 0.0301 memory: 24011 grad_norm: 4.1244 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2994 loss: 1.2994 2022/08/04 19:11:58 - mmengine - INFO - Epoch(train) [10][860/940] lr: 1.0000e-02 eta: 15:31:43 time: 0.6040 data_time: 0.0339 memory: 24011 grad_norm: 4.2171 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4129 loss: 1.4129 2022/08/04 19:12:10 - mmengine - INFO - Epoch(train) [10][880/940] lr: 1.0000e-02 eta: 15:31:15 time: 0.5814 data_time: 0.0339 memory: 24011 grad_norm: 4.7808 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3574 loss: 1.3574 2022/08/04 19:12:23 - mmengine - INFO - Epoch(train) [10][900/940] lr: 1.0000e-02 eta: 15:30:58 time: 0.6365 data_time: 0.0368 memory: 24011 grad_norm: 4.2231 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.4009 loss: 1.4009 2022/08/04 19:12:35 - mmengine - INFO - Epoch(train) [10][920/940] lr: 1.0000e-02 eta: 15:30:36 time: 0.6106 data_time: 0.0333 memory: 24011 grad_norm: 3.9285 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3363 loss: 1.3363 2022/08/04 19:12:46 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:12:46 - mmengine - INFO - Epoch(train) [10][940/940] lr: 1.0000e-02 eta: 15:30:05 time: 0.5663 data_time: 0.0267 memory: 24011 grad_norm: 4.2712 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3169 loss: 1.3169 2022/08/04 19:12:59 - mmengine - INFO - Epoch(val) [10][20/78] eta: 0:00:38 time: 0.6567 data_time: 0.4938 memory: 3625 2022/08/04 19:13:08 - mmengine - INFO - Epoch(val) [10][40/78] eta: 0:00:17 time: 0.4500 data_time: 0.2975 memory: 3625 2022/08/04 19:13:21 - mmengine - INFO - Epoch(val) [10][60/78] eta: 0:00:11 time: 0.6303 data_time: 0.4770 memory: 3625 2022/08/04 19:13:31 - mmengine - INFO - Epoch(val) [10][78/78] acc/top1: 0.7128 acc/top5: 0.9037 acc/mean1: 0.7126 2022/08/04 19:13:31 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_9.pth is removed 2022/08/04 19:13:34 - mmengine - INFO - The best checkpoint with 0.7128 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/04 19:13:51 - mmengine - INFO - Epoch(train) [11][20/940] lr: 1.0000e-02 eta: 15:30:29 time: 0.8631 data_time: 0.2960 memory: 24011 grad_norm: 3.9616 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3973 loss: 1.3973 2022/08/04 19:14:03 - mmengine - INFO - Epoch(train) [11][40/940] lr: 1.0000e-02 eta: 15:30:04 time: 0.5924 data_time: 0.0487 memory: 24011 grad_norm: 3.9109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2690 loss: 1.2690 2022/08/04 19:14:15 - mmengine - INFO - Epoch(train) [11][60/940] lr: 1.0000e-02 eta: 15:29:42 time: 0.6158 data_time: 0.0584 memory: 24011 grad_norm: 4.0223 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1494 loss: 1.1494 2022/08/04 19:14:28 - mmengine - INFO - Epoch(train) [11][80/940] lr: 1.0000e-02 eta: 15:29:22 time: 0.6214 data_time: 0.0756 memory: 24011 grad_norm: 3.9749 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2415 loss: 1.2415 2022/08/04 19:14:40 - mmengine - INFO - Epoch(train) [11][100/940] lr: 1.0000e-02 eta: 15:29:02 time: 0.6215 data_time: 0.0680 memory: 24011 grad_norm: 4.0335 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.3337 loss: 1.3337 2022/08/04 19:14:52 - mmengine - INFO - Epoch(train) [11][120/940] lr: 1.0000e-02 eta: 15:28:38 time: 0.5958 data_time: 0.0383 memory: 24011 grad_norm: 4.1317 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3456 loss: 1.3456 2022/08/04 19:15:05 - mmengine - INFO - Epoch(train) [11][140/940] lr: 1.0000e-02 eta: 15:28:23 time: 0.6516 data_time: 0.1052 memory: 24011 grad_norm: 4.1377 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3308 loss: 1.3308 2022/08/04 19:15:17 - mmengine - INFO - Epoch(train) [11][160/940] lr: 1.0000e-02 eta: 15:28:03 time: 0.6194 data_time: 0.0590 memory: 24011 grad_norm: 4.0379 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2708 loss: 1.2708 2022/08/04 19:15:29 - mmengine - INFO - Epoch(train) [11][180/940] lr: 1.0000e-02 eta: 15:27:40 time: 0.6055 data_time: 0.0379 memory: 24011 grad_norm: 3.9210 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1938 loss: 1.1938 2022/08/04 19:15:42 - mmengine - INFO - Epoch(train) [11][200/940] lr: 1.0000e-02 eta: 15:27:21 time: 0.6244 data_time: 0.0694 memory: 24011 grad_norm: 4.3866 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3122 loss: 1.3122 2022/08/04 19:15:54 - mmengine - INFO - Epoch(train) [11][220/940] lr: 1.0000e-02 eta: 15:27:02 time: 0.6259 data_time: 0.0721 memory: 24011 grad_norm: 4.0349 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2666 loss: 1.2666 2022/08/04 19:16:07 - mmengine - INFO - Epoch(train) [11][240/940] lr: 1.0000e-02 eta: 15:26:42 time: 0.6217 data_time: 0.0688 memory: 24011 grad_norm: 4.5034 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.3645 loss: 1.3645 2022/08/04 19:16:19 - mmengine - INFO - Epoch(train) [11][260/940] lr: 1.0000e-02 eta: 15:26:23 time: 0.6267 data_time: 0.0686 memory: 24011 grad_norm: 4.2391 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3383 loss: 1.3383 2022/08/04 19:16:32 - mmengine - INFO - Epoch(train) [11][280/940] lr: 1.0000e-02 eta: 15:26:05 time: 0.6315 data_time: 0.0767 memory: 24011 grad_norm: 4.1251 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3561 loss: 1.3561 2022/08/04 19:16:45 - mmengine - INFO - Epoch(train) [11][300/940] lr: 1.0000e-02 eta: 15:25:49 time: 0.6430 data_time: 0.0962 memory: 24011 grad_norm: 4.0332 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/08/04 19:16:57 - mmengine - INFO - Epoch(train) [11][320/940] lr: 1.0000e-02 eta: 15:25:29 time: 0.6184 data_time: 0.0370 memory: 24011 grad_norm: 4.0868 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3641 loss: 1.3641 2022/08/04 19:17:09 - mmengine - INFO - Epoch(train) [11][340/940] lr: 1.0000e-02 eta: 15:25:05 time: 0.5931 data_time: 0.0446 memory: 24011 grad_norm: 4.3090 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2929 loss: 1.2929 2022/08/04 19:17:22 - mmengine - INFO - Epoch(train) [11][360/940] lr: 1.0000e-02 eta: 15:24:48 time: 0.6388 data_time: 0.0823 memory: 24011 grad_norm: 4.2682 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4207 loss: 1.4207 2022/08/04 19:17:34 - mmengine - INFO - Epoch(train) [11][380/940] lr: 1.0000e-02 eta: 15:24:24 time: 0.5959 data_time: 0.0407 memory: 24011 grad_norm: 4.0837 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3584 loss: 1.3584 2022/08/04 19:17:47 - mmengine - INFO - Epoch(train) [11][400/940] lr: 1.0000e-02 eta: 15:24:08 time: 0.6402 data_time: 0.0885 memory: 24011 grad_norm: 4.0646 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3909 loss: 1.3909 2022/08/04 19:17:59 - mmengine - INFO - Epoch(train) [11][420/940] lr: 1.0000e-02 eta: 15:23:48 time: 0.6210 data_time: 0.0692 memory: 24011 grad_norm: 4.2973 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3559 loss: 1.3559 2022/08/04 19:18:13 - mmengine - INFO - Epoch(train) [11][440/940] lr: 1.0000e-02 eta: 15:23:38 time: 0.6737 data_time: 0.0991 memory: 24011 grad_norm: 4.0340 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4068 loss: 1.4068 2022/08/04 19:18:25 - mmengine - INFO - Epoch(train) [11][460/940] lr: 1.0000e-02 eta: 15:23:21 time: 0.6374 data_time: 0.0875 memory: 24011 grad_norm: 4.2507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3115 loss: 1.3115 2022/08/04 19:18:38 - mmengine - INFO - Epoch(train) [11][480/940] lr: 1.0000e-02 eta: 15:23:01 time: 0.6219 data_time: 0.0699 memory: 24011 grad_norm: 4.8350 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.4427 loss: 1.4427 2022/08/04 19:18:50 - mmengine - INFO - Epoch(train) [11][500/940] lr: 1.0000e-02 eta: 15:22:41 time: 0.6179 data_time: 0.0533 memory: 24011 grad_norm: 4.3562 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2357 loss: 1.2357 2022/08/04 19:19:02 - mmengine - INFO - Epoch(train) [11][520/940] lr: 1.0000e-02 eta: 15:22:20 time: 0.6126 data_time: 0.0524 memory: 24011 grad_norm: 4.3199 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2485 loss: 1.2485 2022/08/04 19:19:15 - mmengine - INFO - Epoch(train) [11][540/940] lr: 1.0000e-02 eta: 15:22:03 time: 0.6340 data_time: 0.0783 memory: 24011 grad_norm: 4.4212 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3086 loss: 1.3086 2022/08/04 19:19:28 - mmengine - INFO - Epoch(train) [11][560/940] lr: 1.0000e-02 eta: 15:21:50 time: 0.6597 data_time: 0.0819 memory: 24011 grad_norm: 4.0927 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4043 loss: 1.4043 2022/08/04 19:19:42 - mmengine - INFO - Epoch(train) [11][580/940] lr: 1.0000e-02 eta: 15:21:42 time: 0.6870 data_time: 0.0257 memory: 24011 grad_norm: 4.1098 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4751 loss: 1.4751 2022/08/04 19:19:54 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:19:54 - mmengine - INFO - Epoch(train) [11][600/940] lr: 1.0000e-02 eta: 15:21:16 time: 0.5851 data_time: 0.0318 memory: 24011 grad_norm: 4.8710 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.4586 loss: 1.4586 2022/08/04 19:20:05 - mmengine - INFO - Epoch(train) [11][620/940] lr: 1.0000e-02 eta: 15:20:49 time: 0.5703 data_time: 0.0347 memory: 24011 grad_norm: 4.5181 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3709 loss: 1.3709 2022/08/04 19:20:18 - mmengine - INFO - Epoch(train) [11][640/940] lr: 1.0000e-02 eta: 15:20:31 time: 0.6317 data_time: 0.0342 memory: 24011 grad_norm: 4.1922 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2861 loss: 1.2861 2022/08/04 19:20:30 - mmengine - INFO - Epoch(train) [11][660/940] lr: 1.0000e-02 eta: 15:20:14 time: 0.6334 data_time: 0.0320 memory: 24011 grad_norm: 4.2289 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2970 loss: 1.2970 2022/08/04 19:20:43 - mmengine - INFO - Epoch(train) [11][680/940] lr: 1.0000e-02 eta: 15:19:53 time: 0.6090 data_time: 0.0321 memory: 24011 grad_norm: 4.0762 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2551 loss: 1.2551 2022/08/04 19:20:55 - mmengine - INFO - Epoch(train) [11][700/940] lr: 1.0000e-02 eta: 15:19:34 time: 0.6232 data_time: 0.0629 memory: 24011 grad_norm: 4.0978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3125 loss: 1.3125 2022/08/04 19:21:07 - mmengine - INFO - Epoch(train) [11][720/940] lr: 1.0000e-02 eta: 15:19:10 time: 0.5928 data_time: 0.0314 memory: 24011 grad_norm: 4.3346 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.4073 loss: 1.4073 2022/08/04 19:21:20 - mmengine - INFO - Epoch(train) [11][740/940] lr: 1.0000e-02 eta: 15:18:58 time: 0.6679 data_time: 0.1144 memory: 24011 grad_norm: 4.1765 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3423 loss: 1.3423 2022/08/04 19:21:33 - mmengine - INFO - Epoch(train) [11][760/940] lr: 1.0000e-02 eta: 15:18:43 time: 0.6416 data_time: 0.0722 memory: 24011 grad_norm: 4.0404 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2948 loss: 1.2948 2022/08/04 19:21:45 - mmengine - INFO - Epoch(train) [11][780/940] lr: 1.0000e-02 eta: 15:18:21 time: 0.6091 data_time: 0.0446 memory: 24011 grad_norm: 4.2441 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1335 loss: 1.1335 2022/08/04 19:21:58 - mmengine - INFO - Epoch(train) [11][800/940] lr: 1.0000e-02 eta: 15:18:01 time: 0.6125 data_time: 0.0310 memory: 24011 grad_norm: 4.0322 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.3385 loss: 1.3385 2022/08/04 19:22:10 - mmengine - INFO - Epoch(train) [11][820/940] lr: 1.0000e-02 eta: 15:17:44 time: 0.6334 data_time: 0.0344 memory: 24011 grad_norm: 4.1506 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4124 loss: 1.4124 2022/08/04 19:22:24 - mmengine - INFO - Epoch(train) [11][840/940] lr: 1.0000e-02 eta: 15:17:33 time: 0.6706 data_time: 0.0283 memory: 24011 grad_norm: 4.0548 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3058 loss: 1.3058 2022/08/04 19:22:36 - mmengine - INFO - Epoch(train) [11][860/940] lr: 1.0000e-02 eta: 15:17:12 time: 0.6107 data_time: 0.0454 memory: 24011 grad_norm: 4.1602 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3241 loss: 1.3241 2022/08/04 19:22:48 - mmengine - INFO - Epoch(train) [11][880/940] lr: 1.0000e-02 eta: 15:16:54 time: 0.6294 data_time: 0.0593 memory: 24011 grad_norm: 4.0760 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3001 loss: 1.3001 2022/08/04 19:23:01 - mmengine - INFO - Epoch(train) [11][900/940] lr: 1.0000e-02 eta: 15:16:37 time: 0.6330 data_time: 0.0730 memory: 24011 grad_norm: 4.0122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2710 loss: 1.2710 2022/08/04 19:23:13 - mmengine - INFO - Epoch(train) [11][920/940] lr: 1.0000e-02 eta: 15:16:15 time: 0.5988 data_time: 0.0238 memory: 24011 grad_norm: 4.2915 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3446 loss: 1.3446 2022/08/04 19:23:24 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:23:24 - mmengine - INFO - Epoch(train) [11][940/940] lr: 1.0000e-02 eta: 15:15:45 time: 0.5564 data_time: 0.0493 memory: 24011 grad_norm: 4.3550 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.4054 loss: 1.4054 2022/08/04 19:23:38 - mmengine - INFO - Epoch(val) [11][20/78] eta: 0:00:39 time: 0.6822 data_time: 0.5251 memory: 3625 2022/08/04 19:23:46 - mmengine - INFO - Epoch(val) [11][40/78] eta: 0:00:16 time: 0.4240 data_time: 0.2681 memory: 3625 2022/08/04 19:23:59 - mmengine - INFO - Epoch(val) [11][60/78] eta: 0:00:11 time: 0.6112 data_time: 0.4580 memory: 3625 2022/08/04 19:24:09 - mmengine - INFO - Epoch(val) [11][78/78] acc/top1: 0.7128 acc/top5: 0.9028 acc/mean1: 0.7127 2022/08/04 19:24:27 - mmengine - INFO - Epoch(train) [12][20/940] lr: 1.0000e-02 eta: 15:16:10 time: 0.8888 data_time: 0.2370 memory: 24011 grad_norm: 3.9682 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2445 loss: 1.2445 2022/08/04 19:24:39 - mmengine - INFO - Epoch(train) [12][40/940] lr: 1.0000e-02 eta: 15:15:49 time: 0.6125 data_time: 0.0413 memory: 24011 grad_norm: 3.8448 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0824 loss: 1.0824 2022/08/04 19:24:52 - mmengine - INFO - Epoch(train) [12][60/940] lr: 1.0000e-02 eta: 15:15:40 time: 0.6833 data_time: 0.1268 memory: 24011 grad_norm: 4.2430 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2241 loss: 1.2241 2022/08/04 19:25:04 - mmengine - INFO - Epoch(train) [12][80/940] lr: 1.0000e-02 eta: 15:15:16 time: 0.5842 data_time: 0.0259 memory: 24011 grad_norm: 4.3720 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2511 loss: 1.2511 2022/08/04 19:25:17 - mmengine - INFO - Epoch(train) [12][100/940] lr: 1.0000e-02 eta: 15:14:58 time: 0.6298 data_time: 0.0417 memory: 24011 grad_norm: 6.2781 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4206 loss: 1.4206 2022/08/04 19:25:29 - mmengine - INFO - Epoch(train) [12][120/940] lr: 1.0000e-02 eta: 15:14:37 time: 0.6081 data_time: 0.0572 memory: 24011 grad_norm: 4.4765 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.5332 loss: 1.5332 2022/08/04 19:25:43 - mmengine - INFO - Epoch(train) [12][140/940] lr: 1.0000e-02 eta: 15:14:30 time: 0.6972 data_time: 0.1354 memory: 24011 grad_norm: 4.2216 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3056 loss: 1.3056 2022/08/04 19:25:55 - mmengine - INFO - Epoch(train) [12][160/940] lr: 1.0000e-02 eta: 15:14:09 time: 0.6021 data_time: 0.0576 memory: 24011 grad_norm: 4.1549 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2261 loss: 1.2261 2022/08/04 19:26:07 - mmengine - INFO - Epoch(train) [12][180/940] lr: 1.0000e-02 eta: 15:13:45 time: 0.5889 data_time: 0.0373 memory: 24011 grad_norm: 4.3888 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1334 loss: 1.1334 2022/08/04 19:26:19 - mmengine - INFO - Epoch(train) [12][200/940] lr: 1.0000e-02 eta: 15:13:23 time: 0.6048 data_time: 0.0486 memory: 24011 grad_norm: 4.0803 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3854 loss: 1.3854 2022/08/04 19:26:32 - mmengine - INFO - Epoch(train) [12][220/940] lr: 1.0000e-02 eta: 15:13:08 time: 0.6428 data_time: 0.0492 memory: 24011 grad_norm: 4.0837 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2186 loss: 1.2186 2022/08/04 19:26:45 - mmengine - INFO - Epoch(train) [12][240/940] lr: 1.0000e-02 eta: 15:12:55 time: 0.6565 data_time: 0.0297 memory: 24011 grad_norm: 4.4538 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2173 loss: 1.2173 2022/08/04 19:26:57 - mmengine - INFO - Epoch(train) [12][260/940] lr: 1.0000e-02 eta: 15:12:35 time: 0.6162 data_time: 0.0318 memory: 24011 grad_norm: 4.6918 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3215 loss: 1.3215 2022/08/04 19:27:09 - mmengine - INFO - Epoch(train) [12][280/940] lr: 1.0000e-02 eta: 15:12:10 time: 0.5791 data_time: 0.0363 memory: 24011 grad_norm: 4.1683 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4016 loss: 1.4016 2022/08/04 19:27:21 - mmengine - INFO - Epoch(train) [12][300/940] lr: 1.0000e-02 eta: 15:11:50 time: 0.6124 data_time: 0.0535 memory: 24011 grad_norm: 4.3650 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4424 loss: 1.4424 2022/08/04 19:27:34 - mmengine - INFO - Epoch(train) [12][320/940] lr: 1.0000e-02 eta: 15:11:34 time: 0.6391 data_time: 0.0333 memory: 24011 grad_norm: 4.3466 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2197 loss: 1.2197 2022/08/04 19:27:46 - mmengine - INFO - Epoch(train) [12][340/940] lr: 1.0000e-02 eta: 15:11:16 time: 0.6263 data_time: 0.0396 memory: 24011 grad_norm: 4.0827 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3637 loss: 1.3637 2022/08/04 19:27:59 - mmengine - INFO - Epoch(train) [12][360/940] lr: 1.0000e-02 eta: 15:11:04 time: 0.6600 data_time: 0.0405 memory: 24011 grad_norm: 4.3338 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2791 loss: 1.2791 2022/08/04 19:28:12 - mmengine - INFO - Epoch(train) [12][380/940] lr: 1.0000e-02 eta: 15:10:44 time: 0.6134 data_time: 0.0365 memory: 24011 grad_norm: 4.6429 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2088 loss: 1.2088 2022/08/04 19:28:26 - mmengine - INFO - Epoch(train) [12][400/940] lr: 1.0000e-02 eta: 15:10:39 time: 0.7110 data_time: 0.0790 memory: 24011 grad_norm: 4.4108 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3611 loss: 1.3611 2022/08/04 19:28:38 - mmengine - INFO - Epoch(train) [12][420/940] lr: 1.0000e-02 eta: 15:10:17 time: 0.5955 data_time: 0.0361 memory: 24011 grad_norm: 6.4467 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.4468 loss: 1.4468 2022/08/04 19:28:51 - mmengine - INFO - Epoch(train) [12][440/940] lr: 1.0000e-02 eta: 15:10:05 time: 0.6622 data_time: 0.0310 memory: 24011 grad_norm: 4.6735 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.5265 loss: 1.5265 2022/08/04 19:29:04 - mmengine - INFO - Epoch(train) [12][460/940] lr: 1.0000e-02 eta: 15:09:50 time: 0.6475 data_time: 0.0327 memory: 24011 grad_norm: 5.4951 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3005 loss: 1.3005 2022/08/04 19:29:16 - mmengine - INFO - Epoch(train) [12][480/940] lr: 1.0000e-02 eta: 15:09:32 time: 0.6218 data_time: 0.0520 memory: 24011 grad_norm: 4.6610 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.4357 loss: 1.4357 2022/08/04 19:29:28 - mmengine - INFO - Epoch(train) [12][500/940] lr: 1.0000e-02 eta: 15:09:09 time: 0.5911 data_time: 0.0309 memory: 24011 grad_norm: 4.3068 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3447 loss: 1.3447 2022/08/04 19:29:40 - mmengine - INFO - Epoch(train) [12][520/940] lr: 1.0000e-02 eta: 15:08:44 time: 0.5821 data_time: 0.0348 memory: 24011 grad_norm: 4.3788 top1_acc: 0.4688 top5_acc: 0.6875 loss_cls: 1.4244 loss: 1.4244 2022/08/04 19:29:52 - mmengine - INFO - Epoch(train) [12][540/940] lr: 1.0000e-02 eta: 15:08:21 time: 0.5919 data_time: 0.0382 memory: 24011 grad_norm: 4.0515 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3268 loss: 1.3268 2022/08/04 19:30:05 - mmengine - INFO - Epoch(train) [12][560/940] lr: 1.0000e-02 eta: 15:08:09 time: 0.6573 data_time: 0.0425 memory: 24011 grad_norm: 4.2308 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.3029 loss: 1.3029 2022/08/04 19:30:18 - mmengine - INFO - Epoch(train) [12][580/940] lr: 1.0000e-02 eta: 15:07:52 time: 0.6332 data_time: 0.0628 memory: 24011 grad_norm: 4.1905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2740 loss: 1.2740 2022/08/04 19:30:31 - mmengine - INFO - Epoch(train) [12][600/940] lr: 1.0000e-02 eta: 15:07:38 time: 0.6488 data_time: 0.0319 memory: 24011 grad_norm: 4.6287 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2771 loss: 1.2771 2022/08/04 19:30:43 - mmengine - INFO - Epoch(train) [12][620/940] lr: 1.0000e-02 eta: 15:07:19 time: 0.6197 data_time: 0.0367 memory: 24011 grad_norm: 4.6929 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.4042 loss: 1.4042 2022/08/04 19:30:55 - mmengine - INFO - Epoch(train) [12][640/940] lr: 1.0000e-02 eta: 15:07:02 time: 0.6293 data_time: 0.0344 memory: 24011 grad_norm: 4.6841 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.2776 loss: 1.2776 2022/08/04 19:31:08 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:31:08 - mmengine - INFO - Epoch(train) [12][660/940] lr: 1.0000e-02 eta: 15:06:44 time: 0.6213 data_time: 0.0375 memory: 24011 grad_norm: 4.1140 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.4220 loss: 1.4220 2022/08/04 19:31:21 - mmengine - INFO - Epoch(train) [12][680/940] lr: 1.0000e-02 eta: 15:06:29 time: 0.6427 data_time: 0.0366 memory: 24011 grad_norm: 4.2845 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.4253 loss: 1.4253 2022/08/04 19:31:33 - mmengine - INFO - Epoch(train) [12][700/940] lr: 1.0000e-02 eta: 15:06:11 time: 0.6205 data_time: 0.0363 memory: 24011 grad_norm: 4.1167 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3862 loss: 1.3862 2022/08/04 19:31:45 - mmengine - INFO - Epoch(train) [12][720/940] lr: 1.0000e-02 eta: 15:05:51 time: 0.6122 data_time: 0.0356 memory: 24011 grad_norm: 4.2371 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2759 loss: 1.2759 2022/08/04 19:31:58 - mmengine - INFO - Epoch(train) [12][740/940] lr: 1.0000e-02 eta: 15:05:32 time: 0.6177 data_time: 0.0366 memory: 24011 grad_norm: 4.1178 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.3355 loss: 1.3355 2022/08/04 19:32:11 - mmengine - INFO - Epoch(train) [12][760/940] lr: 1.0000e-02 eta: 15:05:19 time: 0.6556 data_time: 0.0415 memory: 24011 grad_norm: 3.9778 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3788 loss: 1.3788 2022/08/04 19:32:23 - mmengine - INFO - Epoch(train) [12][780/940] lr: 1.0000e-02 eta: 15:04:58 time: 0.6023 data_time: 0.0412 memory: 24011 grad_norm: 4.0784 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3762 loss: 1.3762 2022/08/04 19:32:35 - mmengine - INFO - Epoch(train) [12][800/940] lr: 1.0000e-02 eta: 15:04:40 time: 0.6182 data_time: 0.0367 memory: 24011 grad_norm: 4.2516 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3849 loss: 1.3849 2022/08/04 19:32:48 - mmengine - INFO - Epoch(train) [12][820/940] lr: 1.0000e-02 eta: 15:04:23 time: 0.6311 data_time: 0.0376 memory: 24011 grad_norm: 4.1329 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.4146 loss: 1.4146 2022/08/04 19:33:00 - mmengine - INFO - Epoch(train) [12][840/940] lr: 1.0000e-02 eta: 15:04:05 time: 0.6225 data_time: 0.0353 memory: 24011 grad_norm: 3.9546 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3361 loss: 1.3361 2022/08/04 19:33:13 - mmengine - INFO - Epoch(train) [12][860/940] lr: 1.0000e-02 eta: 15:03:47 time: 0.6205 data_time: 0.0428 memory: 24011 grad_norm: 4.7917 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.3281 loss: 1.3281 2022/08/04 19:33:25 - mmengine - INFO - Epoch(train) [12][880/940] lr: 1.0000e-02 eta: 15:03:30 time: 0.6268 data_time: 0.0383 memory: 24011 grad_norm: 4.0160 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.3058 loss: 1.3058 2022/08/04 19:33:39 - mmengine - INFO - Epoch(train) [12][900/940] lr: 1.0000e-02 eta: 15:03:17 time: 0.6553 data_time: 0.0539 memory: 24011 grad_norm: 4.1580 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3490 loss: 1.3490 2022/08/04 19:33:51 - mmengine - INFO - Epoch(train) [12][920/940] lr: 1.0000e-02 eta: 15:02:58 time: 0.6208 data_time: 0.0442 memory: 24011 grad_norm: 4.0923 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3537 loss: 1.3537 2022/08/04 19:34:01 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:34:01 - mmengine - INFO - Epoch(train) [12][940/940] lr: 1.0000e-02 eta: 15:02:27 time: 0.5275 data_time: 0.0258 memory: 24011 grad_norm: 4.2727 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.4125 loss: 1.4125 2022/08/04 19:34:01 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/04 19:34:20 - mmengine - INFO - Epoch(val) [12][20/78] eta: 0:00:40 time: 0.6931 data_time: 0.5389 memory: 3625 2022/08/04 19:34:29 - mmengine - INFO - Epoch(val) [12][40/78] eta: 0:00:16 time: 0.4270 data_time: 0.2767 memory: 3625 2022/08/04 19:34:41 - mmengine - INFO - Epoch(val) [12][60/78] eta: 0:00:11 time: 0.6151 data_time: 0.4635 memory: 3625 2022/08/04 19:34:50 - mmengine - INFO - Epoch(val) [12][78/78] acc/top1: 0.7158 acc/top5: 0.9014 acc/mean1: 0.7157 2022/08/04 19:34:50 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/04 19:34:53 - mmengine - INFO - The best checkpoint with 0.7158 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth. 2022/08/04 19:35:10 - mmengine - INFO - Epoch(train) [13][20/940] lr: 1.0000e-02 eta: 15:02:38 time: 0.8182 data_time: 0.2731 memory: 24011 grad_norm: 4.0600 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2831 loss: 1.2831 2022/08/04 19:35:22 - mmengine - INFO - Epoch(train) [13][40/940] lr: 1.0000e-02 eta: 15:02:20 time: 0.6224 data_time: 0.0823 memory: 24011 grad_norm: 4.2966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/08/04 19:35:35 - mmengine - INFO - Epoch(train) [13][60/940] lr: 1.0000e-02 eta: 15:02:08 time: 0.6667 data_time: 0.0976 memory: 24011 grad_norm: 4.4288 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2638 loss: 1.2638 2022/08/04 19:35:47 - mmengine - INFO - Epoch(train) [13][80/940] lr: 1.0000e-02 eta: 15:01:47 time: 0.6002 data_time: 0.0532 memory: 24011 grad_norm: 3.8850 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2171 loss: 1.2171 2022/08/04 19:36:00 - mmengine - INFO - Epoch(train) [13][100/940] lr: 1.0000e-02 eta: 15:01:28 time: 0.6126 data_time: 0.0400 memory: 24011 grad_norm: 4.1980 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2770 loss: 1.2770 2022/08/04 19:36:12 - mmengine - INFO - Epoch(train) [13][120/940] lr: 1.0000e-02 eta: 15:01:08 time: 0.6056 data_time: 0.0562 memory: 24011 grad_norm: 3.9986 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2986 loss: 1.2986 2022/08/04 19:36:25 - mmengine - INFO - Epoch(train) [13][140/940] lr: 1.0000e-02 eta: 15:00:57 time: 0.6679 data_time: 0.0545 memory: 24011 grad_norm: 4.0499 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2628 loss: 1.2628 2022/08/04 19:36:37 - mmengine - INFO - Epoch(train) [13][160/940] lr: 1.0000e-02 eta: 15:00:37 time: 0.6117 data_time: 0.0466 memory: 24011 grad_norm: 4.0454 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2722 loss: 1.2722 2022/08/04 19:36:49 - mmengine - INFO - Epoch(train) [13][180/940] lr: 1.0000e-02 eta: 15:00:15 time: 0.5921 data_time: 0.0451 memory: 24011 grad_norm: 4.0877 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3880 loss: 1.3880 2022/08/04 19:37:02 - mmengine - INFO - Epoch(train) [13][200/940] lr: 1.0000e-02 eta: 15:00:01 time: 0.6472 data_time: 0.0933 memory: 24011 grad_norm: 3.9566 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2586 loss: 1.2586 2022/08/04 19:37:16 - mmengine - INFO - Epoch(train) [13][220/940] lr: 1.0000e-02 eta: 14:59:53 time: 0.6878 data_time: 0.1133 memory: 24011 grad_norm: 4.0059 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3059 loss: 1.3059 2022/08/04 19:37:28 - mmengine - INFO - Epoch(train) [13][240/940] lr: 1.0000e-02 eta: 14:59:32 time: 0.5997 data_time: 0.0264 memory: 24011 grad_norm: 4.0596 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2797 loss: 1.2797 2022/08/04 19:37:40 - mmengine - INFO - Epoch(train) [13][260/940] lr: 1.0000e-02 eta: 14:59:15 time: 0.6300 data_time: 0.0661 memory: 24011 grad_norm: 3.8378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2480 loss: 1.2480 2022/08/04 19:37:52 - mmengine - INFO - Epoch(train) [13][280/940] lr: 1.0000e-02 eta: 14:58:55 time: 0.6034 data_time: 0.0558 memory: 24011 grad_norm: 4.0062 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1747 loss: 1.1747 2022/08/04 19:38:05 - mmengine - INFO - Epoch(train) [13][300/940] lr: 1.0000e-02 eta: 14:58:39 time: 0.6311 data_time: 0.0855 memory: 24011 grad_norm: 4.0232 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1717 loss: 1.1717 2022/08/04 19:38:18 - mmengine - INFO - Epoch(train) [13][320/940] lr: 1.0000e-02 eta: 14:58:22 time: 0.6322 data_time: 0.0611 memory: 24011 grad_norm: 3.9410 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3299 loss: 1.3299 2022/08/04 19:38:30 - mmengine - INFO - Epoch(train) [13][340/940] lr: 1.0000e-02 eta: 14:58:05 time: 0.6220 data_time: 0.0619 memory: 24011 grad_norm: 4.2383 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2653 loss: 1.2653 2022/08/04 19:38:42 - mmengine - INFO - Epoch(train) [13][360/940] lr: 1.0000e-02 eta: 14:57:46 time: 0.6107 data_time: 0.0585 memory: 24011 grad_norm: 3.9041 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4676 loss: 1.4676 2022/08/04 19:38:55 - mmengine - INFO - Epoch(train) [13][380/940] lr: 1.0000e-02 eta: 14:57:27 time: 0.6140 data_time: 0.0668 memory: 24011 grad_norm: 3.9035 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3606 loss: 1.3606 2022/08/04 19:39:07 - mmengine - INFO - Epoch(train) [13][400/940] lr: 1.0000e-02 eta: 14:57:06 time: 0.6006 data_time: 0.0337 memory: 24011 grad_norm: 4.8175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3265 loss: 1.3265 2022/08/04 19:39:20 - mmengine - INFO - Epoch(train) [13][420/940] lr: 1.0000e-02 eta: 14:56:51 time: 0.6406 data_time: 0.0794 memory: 24011 grad_norm: 4.0258 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3366 loss: 1.3366 2022/08/04 19:39:32 - mmengine - INFO - Epoch(train) [13][440/940] lr: 1.0000e-02 eta: 14:56:36 time: 0.6397 data_time: 0.0639 memory: 24011 grad_norm: 4.0658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2842 loss: 1.2842 2022/08/04 19:39:45 - mmengine - INFO - Epoch(train) [13][460/940] lr: 1.0000e-02 eta: 14:56:20 time: 0.6308 data_time: 0.0329 memory: 24011 grad_norm: 4.0952 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.2425 loss: 1.2425 2022/08/04 19:39:57 - mmengine - INFO - Epoch(train) [13][480/940] lr: 1.0000e-02 eta: 14:56:03 time: 0.6271 data_time: 0.0489 memory: 24011 grad_norm: 3.9612 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.2567 loss: 1.2567 2022/08/04 19:40:10 - mmengine - INFO - Epoch(train) [13][500/940] lr: 1.0000e-02 eta: 14:55:49 time: 0.6428 data_time: 0.0711 memory: 24011 grad_norm: 4.0259 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2326 loss: 1.2326 2022/08/04 19:40:23 - mmengine - INFO - Epoch(train) [13][520/940] lr: 1.0000e-02 eta: 14:55:31 time: 0.6229 data_time: 0.0438 memory: 24011 grad_norm: 3.9062 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2678 loss: 1.2678 2022/08/04 19:40:35 - mmengine - INFO - Epoch(train) [13][540/940] lr: 1.0000e-02 eta: 14:55:13 time: 0.6168 data_time: 0.0311 memory: 24011 grad_norm: 4.4616 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2716 loss: 1.2716 2022/08/04 19:40:48 - mmengine - INFO - Epoch(train) [13][560/940] lr: 1.0000e-02 eta: 14:54:57 time: 0.6352 data_time: 0.0481 memory: 24011 grad_norm: 3.9856 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2853 loss: 1.2853 2022/08/04 19:41:01 - mmengine - INFO - Epoch(train) [13][580/940] lr: 1.0000e-02 eta: 14:54:43 time: 0.6464 data_time: 0.0341 memory: 24011 grad_norm: 3.8946 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2686 loss: 1.2686 2022/08/04 19:41:13 - mmengine - INFO - Epoch(train) [13][600/940] lr: 1.0000e-02 eta: 14:54:27 time: 0.6306 data_time: 0.0407 memory: 24011 grad_norm: 4.0487 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2780 loss: 1.2780 2022/08/04 19:41:26 - mmengine - INFO - Epoch(train) [13][620/940] lr: 1.0000e-02 eta: 14:54:12 time: 0.6402 data_time: 0.0431 memory: 24011 grad_norm: 4.2537 top1_acc: 0.4688 top5_acc: 0.8125 loss_cls: 1.2328 loss: 1.2328 2022/08/04 19:41:38 - mmengine - INFO - Epoch(train) [13][640/940] lr: 1.0000e-02 eta: 14:53:52 time: 0.6052 data_time: 0.0350 memory: 24011 grad_norm: 3.9735 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3962 loss: 1.3962 2022/08/04 19:41:51 - mmengine - INFO - Epoch(train) [13][660/940] lr: 1.0000e-02 eta: 14:53:39 time: 0.6485 data_time: 0.0415 memory: 24011 grad_norm: 3.8695 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.3107 loss: 1.3107 2022/08/04 19:42:03 - mmengine - INFO - Epoch(train) [13][680/940] lr: 1.0000e-02 eta: 14:53:17 time: 0.5895 data_time: 0.0335 memory: 24011 grad_norm: 4.4083 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2624 loss: 1.2624 2022/08/04 19:42:16 - mmengine - INFO - Epoch(train) [13][700/940] lr: 1.0000e-02 eta: 14:53:00 time: 0.6262 data_time: 0.0371 memory: 24011 grad_norm: 4.4087 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2257 loss: 1.2257 2022/08/04 19:42:28 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:42:28 - mmengine - INFO - Epoch(train) [13][720/940] lr: 1.0000e-02 eta: 14:52:41 time: 0.6067 data_time: 0.0370 memory: 24011 grad_norm: 4.0968 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2987 loss: 1.2987 2022/08/04 19:42:41 - mmengine - INFO - Epoch(train) [13][740/940] lr: 1.0000e-02 eta: 14:52:31 time: 0.6773 data_time: 0.0324 memory: 24011 grad_norm: 3.9331 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.3012 loss: 1.3012 2022/08/04 19:42:53 - mmengine - INFO - Epoch(train) [13][760/940] lr: 1.0000e-02 eta: 14:52:10 time: 0.5940 data_time: 0.0374 memory: 24011 grad_norm: 3.9034 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.2421 loss: 1.2421 2022/08/04 19:43:06 - mmengine - INFO - Epoch(train) [13][780/940] lr: 1.0000e-02 eta: 14:51:58 time: 0.6638 data_time: 0.0402 memory: 24011 grad_norm: 4.8319 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.4488 loss: 1.4488 2022/08/04 19:43:18 - mmengine - INFO - Epoch(train) [13][800/940] lr: 1.0000e-02 eta: 14:51:37 time: 0.5942 data_time: 0.0318 memory: 24011 grad_norm: 4.2998 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3778 loss: 1.3778 2022/08/04 19:43:31 - mmengine - INFO - Epoch(train) [13][820/940] lr: 1.0000e-02 eta: 14:51:23 time: 0.6470 data_time: 0.0345 memory: 24011 grad_norm: 4.0694 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.4807 loss: 1.4807 2022/08/04 19:43:44 - mmengine - INFO - Epoch(train) [13][840/940] lr: 1.0000e-02 eta: 14:51:08 time: 0.6381 data_time: 0.0326 memory: 24011 grad_norm: 4.5819 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.2342 loss: 1.2342 2022/08/04 19:43:56 - mmengine - INFO - Epoch(train) [13][860/940] lr: 1.0000e-02 eta: 14:50:49 time: 0.6079 data_time: 0.0337 memory: 24011 grad_norm: 4.0195 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/08/04 19:44:08 - mmengine - INFO - Epoch(train) [13][880/940] lr: 1.0000e-02 eta: 14:50:26 time: 0.5782 data_time: 0.0301 memory: 24011 grad_norm: 4.1472 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2840 loss: 1.2840 2022/08/04 19:44:20 - mmengine - INFO - Epoch(train) [13][900/940] lr: 1.0000e-02 eta: 14:50:08 time: 0.6160 data_time: 0.0463 memory: 24011 grad_norm: 4.1161 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.4309 loss: 1.4309 2022/08/04 19:44:33 - mmengine - INFO - Epoch(train) [13][920/940] lr: 1.0000e-02 eta: 14:49:57 time: 0.6694 data_time: 0.0329 memory: 24011 grad_norm: 4.2059 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2891 loss: 1.2891 2022/08/04 19:44:44 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:44:44 - mmengine - INFO - Epoch(train) [13][940/940] lr: 1.0000e-02 eta: 14:49:28 time: 0.5330 data_time: 0.0252 memory: 24011 grad_norm: 5.0027 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3083 loss: 1.3083 2022/08/04 19:44:58 - mmengine - INFO - Epoch(val) [13][20/78] eta: 0:00:38 time: 0.6722 data_time: 0.5167 memory: 3625 2022/08/04 19:45:07 - mmengine - INFO - Epoch(val) [13][40/78] eta: 0:00:17 time: 0.4653 data_time: 0.3133 memory: 3625 2022/08/04 19:45:20 - mmengine - INFO - Epoch(val) [13][60/78] eta: 0:00:11 time: 0.6462 data_time: 0.4935 memory: 3625 2022/08/04 19:45:29 - mmengine - INFO - Epoch(val) [13][78/78] acc/top1: 0.7183 acc/top5: 0.9044 acc/mean1: 0.7181 2022/08/04 19:45:29 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_13.pth is removed 2022/08/04 19:45:32 - mmengine - INFO - The best checkpoint with 0.7183 acc/top1 at 14 epoch is saved to best_acc/top1_epoch_14.pth. 2022/08/04 19:45:49 - mmengine - INFO - Epoch(train) [14][20/940] lr: 1.0000e-02 eta: 14:49:40 time: 0.8381 data_time: 0.2893 memory: 24011 grad_norm: 4.1032 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2957 loss: 1.2957 2022/08/04 19:46:00 - mmengine - INFO - Epoch(train) [14][40/940] lr: 1.0000e-02 eta: 14:49:17 time: 0.5828 data_time: 0.0450 memory: 24011 grad_norm: 4.3848 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2363 loss: 1.2363 2022/08/04 19:46:14 - mmengine - INFO - Epoch(train) [14][60/940] lr: 1.0000e-02 eta: 14:49:06 time: 0.6676 data_time: 0.1210 memory: 24011 grad_norm: 4.3825 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1559 loss: 1.1559 2022/08/04 19:46:26 - mmengine - INFO - Epoch(train) [14][80/940] lr: 1.0000e-02 eta: 14:48:48 time: 0.6140 data_time: 0.0721 memory: 24011 grad_norm: 4.2836 top1_acc: 0.7812 top5_acc: 0.7812 loss_cls: 1.2589 loss: 1.2589 2022/08/04 19:46:39 - mmengine - INFO - Epoch(train) [14][100/940] lr: 1.0000e-02 eta: 14:48:31 time: 0.6251 data_time: 0.0591 memory: 24011 grad_norm: 4.1625 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2944 loss: 1.2944 2022/08/04 19:46:51 - mmengine - INFO - Epoch(train) [14][120/940] lr: 1.0000e-02 eta: 14:48:17 time: 0.6474 data_time: 0.0927 memory: 24011 grad_norm: 4.7229 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1160 loss: 1.1160 2022/08/04 19:47:06 - mmengine - INFO - Epoch(train) [14][140/940] lr: 1.0000e-02 eta: 14:48:11 time: 0.7039 data_time: 0.1497 memory: 24011 grad_norm: 4.5178 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.1986 loss: 1.1986 2022/08/04 19:47:18 - mmengine - INFO - Epoch(train) [14][160/940] lr: 1.0000e-02 eta: 14:47:55 time: 0.6260 data_time: 0.0804 memory: 24011 grad_norm: 4.1822 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.4232 loss: 1.4232 2022/08/04 19:47:33 - mmengine - INFO - Epoch(train) [14][180/940] lr: 1.0000e-02 eta: 14:47:52 time: 0.7350 data_time: 0.1896 memory: 24011 grad_norm: 4.4748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3093 loss: 1.3093 2022/08/04 19:47:45 - mmengine - INFO - Epoch(train) [14][200/940] lr: 1.0000e-02 eta: 14:47:32 time: 0.5952 data_time: 0.0320 memory: 24011 grad_norm: 4.1547 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2238 loss: 1.2238 2022/08/04 19:47:58 - mmengine - INFO - Epoch(train) [14][220/940] lr: 1.0000e-02 eta: 14:47:19 time: 0.6584 data_time: 0.1179 memory: 24011 grad_norm: 4.3286 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1701 loss: 1.1701 2022/08/04 19:48:10 - mmengine - INFO - Epoch(train) [14][240/940] lr: 1.0000e-02 eta: 14:47:03 time: 0.6293 data_time: 0.0862 memory: 24011 grad_norm: 4.0557 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.2010 loss: 1.2010 2022/08/04 19:48:24 - mmengine - INFO - Epoch(train) [14][260/940] lr: 1.0000e-02 eta: 14:46:54 time: 0.6783 data_time: 0.1287 memory: 24011 grad_norm: 4.0691 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2381 loss: 1.2381 2022/08/04 19:48:36 - mmengine - INFO - Epoch(train) [14][280/940] lr: 1.0000e-02 eta: 14:46:35 time: 0.6139 data_time: 0.0577 memory: 24011 grad_norm: 4.5323 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.3851 loss: 1.3851 2022/08/04 19:48:49 - mmengine - INFO - Epoch(train) [14][300/940] lr: 1.0000e-02 eta: 14:46:18 time: 0.6226 data_time: 0.0738 memory: 24011 grad_norm: 4.0145 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.1725 loss: 1.1725 2022/08/04 19:49:01 - mmengine - INFO - Epoch(train) [14][320/940] lr: 1.0000e-02 eta: 14:46:00 time: 0.6091 data_time: 0.0561 memory: 24011 grad_norm: 4.1910 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.3248 loss: 1.3248 2022/08/04 19:49:14 - mmengine - INFO - Epoch(train) [14][340/940] lr: 1.0000e-02 eta: 14:45:48 time: 0.6645 data_time: 0.1049 memory: 24011 grad_norm: 4.1246 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2957 loss: 1.2957 2022/08/04 19:49:26 - mmengine - INFO - Epoch(train) [14][360/940] lr: 1.0000e-02 eta: 14:45:27 time: 0.5905 data_time: 0.0327 memory: 24011 grad_norm: 4.5578 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.2024 loss: 1.2024 2022/08/04 19:49:39 - mmengine - INFO - Epoch(train) [14][380/940] lr: 1.0000e-02 eta: 14:45:12 time: 0.6345 data_time: 0.0571 memory: 24011 grad_norm: 4.1384 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.3066 loss: 1.3066 2022/08/04 19:49:52 - mmengine - INFO - Epoch(train) [14][400/940] lr: 1.0000e-02 eta: 14:44:59 time: 0.6578 data_time: 0.0250 memory: 24011 grad_norm: 4.0992 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3638 loss: 1.3638 2022/08/04 19:50:05 - mmengine - INFO - Epoch(train) [14][420/940] lr: 1.0000e-02 eta: 14:44:49 time: 0.6759 data_time: 0.0353 memory: 24011 grad_norm: 4.4630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2926 loss: 1.2926 2022/08/04 19:50:18 - mmengine - INFO - Epoch(train) [14][440/940] lr: 1.0000e-02 eta: 14:44:30 time: 0.6052 data_time: 0.0508 memory: 24011 grad_norm: 4.8132 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2654 loss: 1.2654 2022/08/04 19:50:30 - mmengine - INFO - Epoch(train) [14][460/940] lr: 1.0000e-02 eta: 14:44:11 time: 0.6065 data_time: 0.0374 memory: 24011 grad_norm: 4.7734 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.3291 loss: 1.3291 2022/08/04 19:50:43 - mmengine - INFO - Epoch(train) [14][480/940] lr: 1.0000e-02 eta: 14:43:57 time: 0.6449 data_time: 0.0301 memory: 24011 grad_norm: 4.3497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3113 loss: 1.3113 2022/08/04 19:50:57 - mmengine - INFO - Epoch(train) [14][500/940] lr: 1.0000e-02 eta: 14:43:56 time: 0.7473 data_time: 0.0357 memory: 24011 grad_norm: 3.9039 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2776 loss: 1.2776 2022/08/04 19:51:09 - mmengine - INFO - Epoch(train) [14][520/940] lr: 1.0000e-02 eta: 14:43:35 time: 0.5867 data_time: 0.0289 memory: 24011 grad_norm: 4.4409 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2040 loss: 1.2040 2022/08/04 19:51:25 - mmengine - INFO - Epoch(train) [14][540/940] lr: 1.0000e-02 eta: 14:43:38 time: 0.7800 data_time: 0.0299 memory: 24011 grad_norm: 4.1795 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1035 loss: 1.1035 2022/08/04 19:51:38 - mmengine - INFO - Epoch(train) [14][560/940] lr: 1.0000e-02 eta: 14:43:26 time: 0.6582 data_time: 0.0332 memory: 24011 grad_norm: 4.2333 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2416 loss: 1.2416 2022/08/04 19:51:52 - mmengine - INFO - Epoch(train) [14][580/940] lr: 1.0000e-02 eta: 14:43:20 time: 0.7095 data_time: 0.0387 memory: 24011 grad_norm: 4.2935 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1902 loss: 1.1902 2022/08/04 19:52:05 - mmengine - INFO - Epoch(train) [14][600/940] lr: 1.0000e-02 eta: 14:43:05 time: 0.6382 data_time: 0.0343 memory: 24011 grad_norm: 4.2627 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1571 loss: 1.1571 2022/08/04 19:52:19 - mmengine - INFO - Epoch(train) [14][620/940] lr: 1.0000e-02 eta: 14:43:01 time: 0.7232 data_time: 0.0293 memory: 24011 grad_norm: 4.0295 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.4128 loss: 1.4128 2022/08/04 19:52:31 - mmengine - INFO - Epoch(train) [14][640/940] lr: 1.0000e-02 eta: 14:42:40 time: 0.5944 data_time: 0.0447 memory: 24011 grad_norm: 4.2924 top1_acc: 0.4375 top5_acc: 0.8438 loss_cls: 1.2707 loss: 1.2707 2022/08/04 19:52:44 - mmengine - INFO - Epoch(train) [14][660/940] lr: 1.0000e-02 eta: 14:42:25 time: 0.6317 data_time: 0.0345 memory: 24011 grad_norm: 4.1250 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2794 loss: 1.2794 2022/08/04 19:52:56 - mmengine - INFO - Epoch(train) [14][680/940] lr: 1.0000e-02 eta: 14:42:08 time: 0.6256 data_time: 0.0347 memory: 24011 grad_norm: 4.0054 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1972 loss: 1.1972 2022/08/04 19:53:09 - mmengine - INFO - Epoch(train) [14][700/940] lr: 1.0000e-02 eta: 14:41:51 time: 0.6189 data_time: 0.0369 memory: 24011 grad_norm: 4.0229 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.4128 loss: 1.4128 2022/08/04 19:53:23 - mmengine - INFO - Epoch(train) [14][720/940] lr: 1.0000e-02 eta: 14:41:47 time: 0.7215 data_time: 0.0299 memory: 24011 grad_norm: 4.3228 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2905 loss: 1.2905 2022/08/04 19:53:36 - mmengine - INFO - Epoch(train) [14][740/940] lr: 1.0000e-02 eta: 14:41:31 time: 0.6338 data_time: 0.0371 memory: 24011 grad_norm: 4.2880 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1825 loss: 1.1825 2022/08/04 19:53:48 - mmengine - INFO - Epoch(train) [14][760/940] lr: 1.0000e-02 eta: 14:41:13 time: 0.6144 data_time: 0.0373 memory: 24011 grad_norm: 4.4550 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3486 loss: 1.3486 2022/08/04 19:54:01 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:54:01 - mmengine - INFO - Epoch(train) [14][780/940] lr: 1.0000e-02 eta: 14:40:57 time: 0.6241 data_time: 0.0367 memory: 24011 grad_norm: 4.5616 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3174 loss: 1.3174 2022/08/04 19:54:14 - mmengine - INFO - Epoch(train) [14][800/940] lr: 1.0000e-02 eta: 14:40:44 time: 0.6530 data_time: 0.0313 memory: 24011 grad_norm: 5.4137 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1682 loss: 1.1682 2022/08/04 19:54:26 - mmengine - INFO - Epoch(train) [14][820/940] lr: 1.0000e-02 eta: 14:40:28 time: 0.6326 data_time: 0.0333 memory: 24011 grad_norm: 5.1980 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3235 loss: 1.3235 2022/08/04 19:54:40 - mmengine - INFO - Epoch(train) [14][840/940] lr: 1.0000e-02 eta: 14:40:16 time: 0.6555 data_time: 0.0364 memory: 24011 grad_norm: 4.4038 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3654 loss: 1.3654 2022/08/04 19:54:51 - mmengine - INFO - Epoch(train) [14][860/940] lr: 1.0000e-02 eta: 14:39:55 time: 0.5929 data_time: 0.0330 memory: 24011 grad_norm: 4.2408 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3315 loss: 1.3315 2022/08/04 19:55:04 - mmengine - INFO - Epoch(train) [14][880/940] lr: 1.0000e-02 eta: 14:39:39 time: 0.6297 data_time: 0.0429 memory: 24011 grad_norm: 4.1493 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2653 loss: 1.2653 2022/08/04 19:55:17 - mmengine - INFO - Epoch(train) [14][900/940] lr: 1.0000e-02 eta: 14:39:25 time: 0.6386 data_time: 0.0318 memory: 24011 grad_norm: 4.1108 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2166 loss: 1.2166 2022/08/04 19:55:29 - mmengine - INFO - Epoch(train) [14][920/940] lr: 1.0000e-02 eta: 14:39:08 time: 0.6208 data_time: 0.0375 memory: 24011 grad_norm: 4.2074 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3947 loss: 1.3947 2022/08/04 19:55:40 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 19:55:40 - mmengine - INFO - Epoch(train) [14][940/940] lr: 1.0000e-02 eta: 14:38:41 time: 0.5395 data_time: 0.0266 memory: 24011 grad_norm: 4.2573 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1932 loss: 1.1932 2022/08/04 19:55:54 - mmengine - INFO - Epoch(val) [14][20/78] eta: 0:00:39 time: 0.6742 data_time: 0.5190 memory: 3625 2022/08/04 19:56:02 - mmengine - INFO - Epoch(val) [14][40/78] eta: 0:00:16 time: 0.4408 data_time: 0.2892 memory: 3625 2022/08/04 19:56:15 - mmengine - INFO - Epoch(val) [14][60/78] eta: 0:00:11 time: 0.6217 data_time: 0.4678 memory: 3625 2022/08/04 19:56:25 - mmengine - INFO - Epoch(val) [14][78/78] acc/top1: 0.7187 acc/top5: 0.9040 acc/mean1: 0.7186 2022/08/04 19:56:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_14.pth is removed 2022/08/04 19:56:29 - mmengine - INFO - The best checkpoint with 0.7187 acc/top1 at 15 epoch is saved to best_acc/top1_epoch_15.pth. 2022/08/04 19:56:46 - mmengine - INFO - Epoch(train) [15][20/940] lr: 1.0000e-02 eta: 14:38:53 time: 0.8597 data_time: 0.3039 memory: 24011 grad_norm: 4.6933 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1533 loss: 1.1533 2022/08/04 19:56:58 - mmengine - INFO - Epoch(train) [15][40/940] lr: 1.0000e-02 eta: 14:38:35 time: 0.6085 data_time: 0.0706 memory: 24011 grad_norm: 4.4459 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2104 loss: 1.2104 2022/08/04 19:57:10 - mmengine - INFO - Epoch(train) [15][60/940] lr: 1.0000e-02 eta: 14:38:14 time: 0.5928 data_time: 0.0517 memory: 24011 grad_norm: 4.1406 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1452 loss: 1.1452 2022/08/04 19:57:22 - mmengine - INFO - Epoch(train) [15][80/940] lr: 1.0000e-02 eta: 14:37:56 time: 0.6120 data_time: 0.0725 memory: 24011 grad_norm: 4.0915 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3651 loss: 1.3651 2022/08/04 19:57:35 - mmengine - INFO - Epoch(train) [15][100/940] lr: 1.0000e-02 eta: 14:37:44 time: 0.6598 data_time: 0.0990 memory: 24011 grad_norm: 4.3418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2452 loss: 1.2452 2022/08/04 19:57:48 - mmengine - INFO - Epoch(train) [15][120/940] lr: 1.0000e-02 eta: 14:37:28 time: 0.6257 data_time: 0.0901 memory: 24011 grad_norm: 4.4283 top1_acc: 0.5000 top5_acc: 0.8438 loss_cls: 1.2953 loss: 1.2953 2022/08/04 19:58:00 - mmengine - INFO - Epoch(train) [15][140/940] lr: 1.0000e-02 eta: 14:37:10 time: 0.6152 data_time: 0.0722 memory: 24011 grad_norm: 4.8701 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2856 loss: 1.2856 2022/08/04 19:58:13 - mmengine - INFO - Epoch(train) [15][160/940] lr: 1.0000e-02 eta: 14:36:54 time: 0.6255 data_time: 0.0622 memory: 24011 grad_norm: 4.1126 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2073 loss: 1.2073 2022/08/04 19:58:25 - mmengine - INFO - Epoch(train) [15][180/940] lr: 1.0000e-02 eta: 14:36:35 time: 0.5997 data_time: 0.0506 memory: 24011 grad_norm: 4.1063 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2945 loss: 1.2945 2022/08/04 19:58:38 - mmengine - INFO - Epoch(train) [15][200/940] lr: 1.0000e-02 eta: 14:36:23 time: 0.6653 data_time: 0.0293 memory: 24011 grad_norm: 4.1582 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/08/04 19:58:51 - mmengine - INFO - Epoch(train) [15][220/940] lr: 1.0000e-02 eta: 14:36:10 time: 0.6509 data_time: 0.1001 memory: 24011 grad_norm: 4.0943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3428 loss: 1.3428 2022/08/04 19:59:03 - mmengine - INFO - Epoch(train) [15][240/940] lr: 1.0000e-02 eta: 14:35:51 time: 0.6037 data_time: 0.0494 memory: 24011 grad_norm: 4.3500 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1928 loss: 1.1928 2022/08/04 19:59:17 - mmengine - INFO - Epoch(train) [15][260/940] lr: 1.0000e-02 eta: 14:35:42 time: 0.6867 data_time: 0.1307 memory: 24011 grad_norm: 4.5248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2226 loss: 1.2226 2022/08/04 19:59:29 - mmengine - INFO - Epoch(train) [15][280/940] lr: 1.0000e-02 eta: 14:35:24 time: 0.6102 data_time: 0.0541 memory: 24011 grad_norm: 4.1336 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1379 loss: 1.1379 2022/08/04 19:59:42 - mmengine - INFO - Epoch(train) [15][300/940] lr: 1.0000e-02 eta: 14:35:09 time: 0.6351 data_time: 0.0853 memory: 24011 grad_norm: 4.2679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2109 loss: 1.2109 2022/08/04 19:59:54 - mmengine - INFO - Epoch(train) [15][320/940] lr: 1.0000e-02 eta: 14:34:53 time: 0.6265 data_time: 0.0814 memory: 24011 grad_norm: 4.0993 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2000 loss: 1.2000 2022/08/04 20:00:07 - mmengine - INFO - Epoch(train) [15][340/940] lr: 1.0000e-02 eta: 14:34:37 time: 0.6243 data_time: 0.0649 memory: 24011 grad_norm: 4.1153 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2403 loss: 1.2403 2022/08/04 20:00:19 - mmengine - INFO - Epoch(train) [15][360/940] lr: 1.0000e-02 eta: 14:34:20 time: 0.6197 data_time: 0.0728 memory: 24011 grad_norm: 3.8880 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2165 loss: 1.2165 2022/08/04 20:00:32 - mmengine - INFO - Epoch(train) [15][380/940] lr: 1.0000e-02 eta: 14:34:06 time: 0.6419 data_time: 0.0944 memory: 24011 grad_norm: 4.7508 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3320 loss: 1.3320 2022/08/04 20:00:46 - mmengine - INFO - Epoch(train) [15][400/940] lr: 1.0000e-02 eta: 14:33:57 time: 0.6854 data_time: 0.1311 memory: 24011 grad_norm: 4.0994 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0829 loss: 1.0829 2022/08/04 20:00:58 - mmengine - INFO - Epoch(train) [15][420/940] lr: 1.0000e-02 eta: 14:33:42 time: 0.6411 data_time: 0.0967 memory: 24011 grad_norm: 4.2133 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1321 loss: 1.1321 2022/08/04 20:01:10 - mmengine - INFO - Epoch(train) [15][440/940] lr: 1.0000e-02 eta: 14:33:24 time: 0.6028 data_time: 0.0435 memory: 24011 grad_norm: 4.1922 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1490 loss: 1.1490 2022/08/04 20:01:23 - mmengine - INFO - Epoch(train) [15][460/940] lr: 1.0000e-02 eta: 14:33:06 time: 0.6139 data_time: 0.0399 memory: 24011 grad_norm: 4.3178 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1593 loss: 1.1593 2022/08/04 20:01:35 - mmengine - INFO - Epoch(train) [15][480/940] lr: 1.0000e-02 eta: 14:32:47 time: 0.5988 data_time: 0.0471 memory: 24011 grad_norm: 4.3338 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2481 loss: 1.2481 2022/08/04 20:01:46 - mmengine - INFO - Epoch(train) [15][500/940] lr: 1.0000e-02 eta: 14:32:25 time: 0.5817 data_time: 0.0340 memory: 24011 grad_norm: 3.9810 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2038 loss: 1.2038 2022/08/04 20:01:59 - mmengine - INFO - Epoch(train) [15][520/940] lr: 1.0000e-02 eta: 14:32:11 time: 0.6381 data_time: 0.0658 memory: 24011 grad_norm: 4.1195 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2370 loss: 1.2370 2022/08/04 20:02:12 - mmengine - INFO - Epoch(train) [15][540/940] lr: 1.0000e-02 eta: 14:31:57 time: 0.6456 data_time: 0.0415 memory: 24011 grad_norm: 4.0400 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3430 loss: 1.3430 2022/08/04 20:02:25 - mmengine - INFO - Epoch(train) [15][560/940] lr: 1.0000e-02 eta: 14:31:43 time: 0.6403 data_time: 0.0347 memory: 24011 grad_norm: 4.1586 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2148 loss: 1.2148 2022/08/04 20:02:39 - mmengine - INFO - Epoch(train) [15][580/940] lr: 1.0000e-02 eta: 14:31:33 time: 0.6832 data_time: 0.0412 memory: 24011 grad_norm: 4.2054 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.2546 loss: 1.2546 2022/08/04 20:02:51 - mmengine - INFO - Epoch(train) [15][600/940] lr: 1.0000e-02 eta: 14:31:15 time: 0.6041 data_time: 0.0322 memory: 24011 grad_norm: 4.0063 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2805 loss: 1.2805 2022/08/04 20:03:04 - mmengine - INFO - Epoch(train) [15][620/940] lr: 1.0000e-02 eta: 14:31:04 time: 0.6677 data_time: 0.0412 memory: 24011 grad_norm: 4.2057 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2398 loss: 1.2398 2022/08/04 20:03:16 - mmengine - INFO - Epoch(train) [15][640/940] lr: 1.0000e-02 eta: 14:30:45 time: 0.6037 data_time: 0.0310 memory: 24011 grad_norm: 4.4749 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2499 loss: 1.2499 2022/08/04 20:03:29 - mmengine - INFO - Epoch(train) [15][660/940] lr: 1.0000e-02 eta: 14:30:33 time: 0.6617 data_time: 0.0385 memory: 24011 grad_norm: 4.0850 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2380 loss: 1.2380 2022/08/04 20:03:41 - mmengine - INFO - Epoch(train) [15][680/940] lr: 1.0000e-02 eta: 14:30:14 time: 0.5986 data_time: 0.0372 memory: 24011 grad_norm: 3.9537 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2448 loss: 1.2448 2022/08/04 20:03:54 - mmengine - INFO - Epoch(train) [15][700/940] lr: 1.0000e-02 eta: 14:30:01 time: 0.6459 data_time: 0.0387 memory: 24011 grad_norm: 4.2733 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1938 loss: 1.1938 2022/08/04 20:04:07 - mmengine - INFO - Epoch(train) [15][720/940] lr: 1.0000e-02 eta: 14:29:44 time: 0.6226 data_time: 0.0339 memory: 24011 grad_norm: 4.6099 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2768 loss: 1.2768 2022/08/04 20:04:19 - mmengine - INFO - Epoch(train) [15][740/940] lr: 1.0000e-02 eta: 14:29:25 time: 0.5971 data_time: 0.0386 memory: 24011 grad_norm: 5.2819 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.4521 loss: 1.4521 2022/08/04 20:04:32 - mmengine - INFO - Epoch(train) [15][760/940] lr: 1.0000e-02 eta: 14:29:12 time: 0.6504 data_time: 0.0343 memory: 24011 grad_norm: 4.2627 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3075 loss: 1.3075 2022/08/04 20:04:45 - mmengine - INFO - Epoch(train) [15][780/940] lr: 1.0000e-02 eta: 14:28:58 time: 0.6480 data_time: 0.0395 memory: 24011 grad_norm: 4.1378 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.3045 loss: 1.3045 2022/08/04 20:04:58 - mmengine - INFO - Epoch(train) [15][800/940] lr: 1.0000e-02 eta: 14:28:45 time: 0.6521 data_time: 0.0340 memory: 24011 grad_norm: 4.2587 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2284 loss: 1.2284 2022/08/04 20:05:11 - mmengine - INFO - Epoch(train) [15][820/940] lr: 1.0000e-02 eta: 14:28:33 time: 0.6547 data_time: 0.0427 memory: 24011 grad_norm: 3.8503 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1224 loss: 1.1224 2022/08/04 20:05:22 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:05:22 - mmengine - INFO - Epoch(train) [15][840/940] lr: 1.0000e-02 eta: 14:28:13 time: 0.5885 data_time: 0.0351 memory: 24011 grad_norm: 4.3946 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.3420 loss: 1.3420 2022/08/04 20:05:36 - mmengine - INFO - Epoch(train) [15][860/940] lr: 1.0000e-02 eta: 14:28:05 time: 0.7026 data_time: 0.0340 memory: 24011 grad_norm: 3.9565 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.2408 loss: 1.2408 2022/08/04 20:05:50 - mmengine - INFO - Epoch(train) [15][880/940] lr: 1.0000e-02 eta: 14:27:55 time: 0.6760 data_time: 0.0309 memory: 24011 grad_norm: 3.9759 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3345 loss: 1.3345 2022/08/04 20:06:02 - mmengine - INFO - Epoch(train) [15][900/940] lr: 1.0000e-02 eta: 14:27:36 time: 0.6005 data_time: 0.0339 memory: 24011 grad_norm: 4.0410 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2689 loss: 1.2689 2022/08/04 20:06:16 - mmengine - INFO - Epoch(train) [15][920/940] lr: 1.0000e-02 eta: 14:27:26 time: 0.6744 data_time: 0.0286 memory: 24011 grad_norm: 4.2268 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2527 loss: 1.2527 2022/08/04 20:06:27 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:06:27 - mmengine - INFO - Epoch(train) [15][940/940] lr: 1.0000e-02 eta: 14:27:06 time: 0.5853 data_time: 0.0266 memory: 24011 grad_norm: 4.4730 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2656 loss: 1.2656 2022/08/04 20:06:27 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/04 20:07:03 - mmengine - INFO - Epoch(val) [15][20/78] eta: 0:01:12 time: 1.2521 data_time: 1.1064 memory: 3625 2022/08/04 20:07:16 - mmengine - INFO - Epoch(val) [15][40/78] eta: 0:00:24 time: 0.6471 data_time: 0.5029 memory: 3625 2022/08/04 20:07:28 - mmengine - INFO - Epoch(val) [15][60/78] eta: 0:00:11 time: 0.6307 data_time: 0.4872 memory: 3625 2022/08/04 20:07:37 - mmengine - INFO - Epoch(val) [15][78/78] acc/top1: 0.7190 acc/top5: 0.9030 acc/mean1: 0.7189 2022/08/04 20:07:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_15.pth is removed 2022/08/04 20:07:40 - mmengine - INFO - The best checkpoint with 0.7190 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/04 20:07:57 - mmengine - INFO - Epoch(train) [16][20/940] lr: 1.0000e-02 eta: 14:27:14 time: 0.8423 data_time: 0.2837 memory: 24011 grad_norm: 4.1717 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2505 loss: 1.2505 2022/08/04 20:08:09 - mmengine - INFO - Epoch(train) [16][40/940] lr: 1.0000e-02 eta: 14:26:58 time: 0.6279 data_time: 0.0887 memory: 24011 grad_norm: 4.5366 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0707 loss: 1.0707 2022/08/04 20:08:22 - mmengine - INFO - Epoch(train) [16][60/940] lr: 1.0000e-02 eta: 14:26:45 time: 0.6429 data_time: 0.0885 memory: 24011 grad_norm: 5.1408 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2096 loss: 1.2096 2022/08/04 20:08:36 - mmengine - INFO - Epoch(train) [16][80/940] lr: 1.0000e-02 eta: 14:26:36 time: 0.6946 data_time: 0.0299 memory: 24011 grad_norm: 4.0910 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3573 loss: 1.3573 2022/08/04 20:08:49 - mmengine - INFO - Epoch(train) [16][100/940] lr: 1.0000e-02 eta: 14:26:21 time: 0.6303 data_time: 0.0672 memory: 24011 grad_norm: 4.3306 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1973 loss: 1.1973 2022/08/04 20:09:01 - mmengine - INFO - Epoch(train) [16][120/940] lr: 1.0000e-02 eta: 14:26:04 time: 0.6195 data_time: 0.0690 memory: 24011 grad_norm: 4.1335 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2138 loss: 1.2138 2022/08/04 20:09:13 - mmengine - INFO - Epoch(train) [16][140/940] lr: 1.0000e-02 eta: 14:25:45 time: 0.5943 data_time: 0.0397 memory: 24011 grad_norm: 4.3428 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2744 loss: 1.2744 2022/08/04 20:09:25 - mmengine - INFO - Epoch(train) [16][160/940] lr: 1.0000e-02 eta: 14:25:27 time: 0.6094 data_time: 0.0556 memory: 24011 grad_norm: 4.2256 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2433 loss: 1.2433 2022/08/04 20:09:38 - mmengine - INFO - Epoch(train) [16][180/940] lr: 1.0000e-02 eta: 14:25:12 time: 0.6309 data_time: 0.0756 memory: 24011 grad_norm: 6.6872 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3404 loss: 1.3404 2022/08/04 20:09:50 - mmengine - INFO - Epoch(train) [16][200/940] lr: 1.0000e-02 eta: 14:24:56 time: 0.6278 data_time: 0.0459 memory: 24011 grad_norm: 4.3739 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2178 loss: 1.2178 2022/08/04 20:10:03 - mmengine - INFO - Epoch(train) [16][220/940] lr: 1.0000e-02 eta: 14:24:44 time: 0.6606 data_time: 0.1074 memory: 24011 grad_norm: 4.4620 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3366 loss: 1.3366 2022/08/04 20:10:16 - mmengine - INFO - Epoch(train) [16][240/940] lr: 1.0000e-02 eta: 14:24:27 time: 0.6082 data_time: 0.0428 memory: 24011 grad_norm: 4.1464 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3045 loss: 1.3045 2022/08/04 20:10:29 - mmengine - INFO - Epoch(train) [16][260/940] lr: 1.0000e-02 eta: 14:24:14 time: 0.6515 data_time: 0.0297 memory: 24011 grad_norm: 4.2118 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2777 loss: 1.2777 2022/08/04 20:10:41 - mmengine - INFO - Epoch(train) [16][280/940] lr: 1.0000e-02 eta: 14:23:55 time: 0.5972 data_time: 0.0348 memory: 24011 grad_norm: 4.9448 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3375 loss: 1.3375 2022/08/04 20:10:53 - mmengine - INFO - Epoch(train) [16][300/940] lr: 1.0000e-02 eta: 14:23:38 time: 0.6173 data_time: 0.0351 memory: 24011 grad_norm: 5.1039 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2442 loss: 1.2442 2022/08/04 20:11:06 - mmengine - INFO - Epoch(train) [16][320/940] lr: 1.0000e-02 eta: 14:23:24 time: 0.6472 data_time: 0.0302 memory: 24011 grad_norm: 4.7600 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3661 loss: 1.3661 2022/08/04 20:11:19 - mmengine - INFO - Epoch(train) [16][340/940] lr: 1.0000e-02 eta: 14:23:10 time: 0.6398 data_time: 0.0388 memory: 24011 grad_norm: 4.2596 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.4046 loss: 1.4046 2022/08/04 20:11:32 - mmengine - INFO - Epoch(train) [16][360/940] lr: 1.0000e-02 eta: 14:22:57 time: 0.6498 data_time: 0.0283 memory: 24011 grad_norm: 4.0332 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/08/04 20:11:44 - mmengine - INFO - Epoch(train) [16][380/940] lr: 1.0000e-02 eta: 14:22:39 time: 0.6100 data_time: 0.0589 memory: 24011 grad_norm: 4.2979 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3270 loss: 1.3270 2022/08/04 20:11:57 - mmengine - INFO - Epoch(train) [16][400/940] lr: 1.0000e-02 eta: 14:22:27 time: 0.6559 data_time: 0.0330 memory: 24011 grad_norm: 4.5885 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3842 loss: 1.3842 2022/08/04 20:12:09 - mmengine - INFO - Epoch(train) [16][420/940] lr: 1.0000e-02 eta: 14:22:07 time: 0.5884 data_time: 0.0395 memory: 24011 grad_norm: 4.4089 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2498 loss: 1.2498 2022/08/04 20:12:21 - mmengine - INFO - Epoch(train) [16][440/940] lr: 1.0000e-02 eta: 14:21:50 time: 0.6092 data_time: 0.0342 memory: 24011 grad_norm: 4.5805 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2720 loss: 1.2720 2022/08/04 20:12:33 - mmengine - INFO - Epoch(train) [16][460/940] lr: 1.0000e-02 eta: 14:21:33 time: 0.6143 data_time: 0.0323 memory: 24011 grad_norm: 4.0731 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2871 loss: 1.2871 2022/08/04 20:12:47 - mmengine - INFO - Epoch(train) [16][480/940] lr: 1.0000e-02 eta: 14:21:25 time: 0.7048 data_time: 0.0338 memory: 24011 grad_norm: 3.9524 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2458 loss: 1.2458 2022/08/04 20:12:59 - mmengine - INFO - Epoch(train) [16][500/940] lr: 1.0000e-02 eta: 14:21:06 time: 0.5930 data_time: 0.0420 memory: 24011 grad_norm: 4.3248 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3902 loss: 1.3902 2022/08/04 20:13:14 - mmengine - INFO - Epoch(train) [16][520/940] lr: 1.0000e-02 eta: 14:21:01 time: 0.7208 data_time: 0.0339 memory: 24011 grad_norm: 4.3742 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0935 loss: 1.0935 2022/08/04 20:13:26 - mmengine - INFO - Epoch(train) [16][540/940] lr: 1.0000e-02 eta: 14:20:42 time: 0.6011 data_time: 0.0345 memory: 24011 grad_norm: 4.3533 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2149 loss: 1.2149 2022/08/04 20:13:38 - mmengine - INFO - Epoch(train) [16][560/940] lr: 1.0000e-02 eta: 14:20:24 time: 0.6018 data_time: 0.0370 memory: 24011 grad_norm: 4.6817 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3015 loss: 1.3015 2022/08/04 20:13:50 - mmengine - INFO - Epoch(train) [16][580/940] lr: 1.0000e-02 eta: 14:20:08 time: 0.6223 data_time: 0.0521 memory: 24011 grad_norm: 4.2202 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3046 loss: 1.3046 2022/08/04 20:14:02 - mmengine - INFO - Epoch(train) [16][600/940] lr: 1.0000e-02 eta: 14:19:49 time: 0.5982 data_time: 0.0494 memory: 24011 grad_norm: 4.4516 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2694 loss: 1.2694 2022/08/04 20:14:16 - mmengine - INFO - Epoch(train) [16][620/940] lr: 1.0000e-02 eta: 14:19:40 time: 0.6818 data_time: 0.0373 memory: 24011 grad_norm: 4.6823 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1233 loss: 1.1233 2022/08/04 20:14:29 - mmengine - INFO - Epoch(train) [16][640/940] lr: 1.0000e-02 eta: 14:19:29 time: 0.6703 data_time: 0.0242 memory: 24011 grad_norm: 4.4753 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2821 loss: 1.2821 2022/08/04 20:14:41 - mmengine - INFO - Epoch(train) [16][660/940] lr: 1.0000e-02 eta: 14:19:11 time: 0.6024 data_time: 0.0324 memory: 24011 grad_norm: 4.2521 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2553 loss: 1.2553 2022/08/04 20:14:55 - mmengine - INFO - Epoch(train) [16][680/940] lr: 1.0000e-02 eta: 14:19:03 time: 0.7034 data_time: 0.0345 memory: 24011 grad_norm: 4.1985 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3183 loss: 1.3183 2022/08/04 20:15:09 - mmengine - INFO - Epoch(train) [16][700/940] lr: 1.0000e-02 eta: 14:18:51 time: 0.6628 data_time: 0.0291 memory: 24011 grad_norm: 4.4868 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2326 loss: 1.2326 2022/08/04 20:15:22 - mmengine - INFO - Epoch(train) [16][720/940] lr: 1.0000e-02 eta: 14:18:43 time: 0.6924 data_time: 0.0361 memory: 24011 grad_norm: 4.6509 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1917 loss: 1.1917 2022/08/04 20:15:34 - mmengine - INFO - Epoch(train) [16][740/940] lr: 1.0000e-02 eta: 14:18:23 time: 0.5825 data_time: 0.0351 memory: 24011 grad_norm: 4.5099 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3061 loss: 1.3061 2022/08/04 20:15:46 - mmengine - INFO - Epoch(train) [16][760/940] lr: 1.0000e-02 eta: 14:18:03 time: 0.5926 data_time: 0.0373 memory: 24011 grad_norm: 4.3223 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.3674 loss: 1.3674 2022/08/04 20:15:59 - mmengine - INFO - Epoch(train) [16][780/940] lr: 1.0000e-02 eta: 14:17:50 time: 0.6442 data_time: 0.0378 memory: 24011 grad_norm: 4.5778 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.4575 loss: 1.4575 2022/08/04 20:16:11 - mmengine - INFO - Epoch(train) [16][800/940] lr: 1.0000e-02 eta: 14:17:33 time: 0.6117 data_time: 0.0345 memory: 24011 grad_norm: 4.3342 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1719 loss: 1.1719 2022/08/04 20:16:23 - mmengine - INFO - Epoch(train) [16][820/940] lr: 1.0000e-02 eta: 14:17:13 time: 0.5840 data_time: 0.0355 memory: 24011 grad_norm: 4.1292 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.3471 loss: 1.3471 2022/08/04 20:16:36 - mmengine - INFO - Epoch(train) [16][840/940] lr: 1.0000e-02 eta: 14:17:02 time: 0.6759 data_time: 0.0299 memory: 24011 grad_norm: 4.2211 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2748 loss: 1.2748 2022/08/04 20:16:49 - mmengine - INFO - Epoch(train) [16][860/940] lr: 1.0000e-02 eta: 14:16:46 time: 0.6240 data_time: 0.0325 memory: 24011 grad_norm: 4.1747 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2300 loss: 1.2300 2022/08/04 20:17:02 - mmengine - INFO - Epoch(train) [16][880/940] lr: 1.0000e-02 eta: 14:16:34 time: 0.6565 data_time: 0.0327 memory: 24011 grad_norm: 4.0278 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2707 loss: 1.2707 2022/08/04 20:17:15 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:17:15 - mmengine - INFO - Epoch(train) [16][900/940] lr: 1.0000e-02 eta: 14:16:25 time: 0.6863 data_time: 0.0405 memory: 24011 grad_norm: 4.2033 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3909 loss: 1.3909 2022/08/04 20:17:28 - mmengine - INFO - Epoch(train) [16][920/940] lr: 1.0000e-02 eta: 14:16:09 time: 0.6245 data_time: 0.0301 memory: 24011 grad_norm: 4.3802 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.2124 loss: 1.2124 2022/08/04 20:17:40 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:17:40 - mmengine - INFO - Epoch(train) [16][940/940] lr: 1.0000e-02 eta: 14:15:51 time: 0.5971 data_time: 0.0258 memory: 24011 grad_norm: 4.9178 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.2765 loss: 1.2765 2022/08/04 20:17:54 - mmengine - INFO - Epoch(val) [16][20/78] eta: 0:00:40 time: 0.6956 data_time: 0.5405 memory: 3625 2022/08/04 20:18:03 - mmengine - INFO - Epoch(val) [16][40/78] eta: 0:00:17 time: 0.4550 data_time: 0.3033 memory: 3625 2022/08/04 20:18:16 - mmengine - INFO - Epoch(val) [16][60/78] eta: 0:00:11 time: 0.6274 data_time: 0.4727 memory: 3625 2022/08/04 20:18:25 - mmengine - INFO - Epoch(val) [16][78/78] acc/top1: 0.7214 acc/top5: 0.9054 acc/mean1: 0.7213 2022/08/04 20:18:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/04 20:18:28 - mmengine - INFO - The best checkpoint with 0.7214 acc/top1 at 17 epoch is saved to best_acc/top1_epoch_17.pth. 2022/08/04 20:18:45 - mmengine - INFO - Epoch(train) [17][20/940] lr: 1.0000e-02 eta: 14:15:58 time: 0.8499 data_time: 0.2774 memory: 24011 grad_norm: 4.0477 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2793 loss: 1.2793 2022/08/04 20:18:57 - mmengine - INFO - Epoch(train) [17][40/940] lr: 1.0000e-02 eta: 14:15:39 time: 0.5912 data_time: 0.0390 memory: 24011 grad_norm: 4.0252 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1748 loss: 1.1748 2022/08/04 20:19:10 - mmengine - INFO - Epoch(train) [17][60/940] lr: 1.0000e-02 eta: 14:15:26 time: 0.6456 data_time: 0.0867 memory: 24011 grad_norm: 4.0273 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1273 loss: 1.1273 2022/08/04 20:19:22 - mmengine - INFO - Epoch(train) [17][80/940] lr: 1.0000e-02 eta: 14:15:10 time: 0.6263 data_time: 0.0630 memory: 24011 grad_norm: 4.0065 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1605 loss: 1.1605 2022/08/04 20:19:34 - mmengine - INFO - Epoch(train) [17][100/940] lr: 1.0000e-02 eta: 14:14:54 time: 0.6206 data_time: 0.0732 memory: 24011 grad_norm: 4.2627 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2077 loss: 1.2077 2022/08/04 20:19:47 - mmengine - INFO - Epoch(train) [17][120/940] lr: 1.0000e-02 eta: 14:14:40 time: 0.6370 data_time: 0.0863 memory: 24011 grad_norm: 4.9352 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.3076 loss: 1.3076 2022/08/04 20:20:00 - mmengine - INFO - Epoch(train) [17][140/940] lr: 1.0000e-02 eta: 14:14:27 time: 0.6514 data_time: 0.1031 memory: 24011 grad_norm: 4.4756 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1541 loss: 1.1541 2022/08/04 20:20:12 - mmengine - INFO - Epoch(train) [17][160/940] lr: 1.0000e-02 eta: 14:14:10 time: 0.6115 data_time: 0.0479 memory: 24011 grad_norm: 4.2304 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2399 loss: 1.2399 2022/08/04 20:20:25 - mmengine - INFO - Epoch(train) [17][180/940] lr: 1.0000e-02 eta: 14:13:52 time: 0.6090 data_time: 0.0515 memory: 24011 grad_norm: 4.5092 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.3156 loss: 1.3156 2022/08/04 20:20:36 - mmengine - INFO - Epoch(train) [17][200/940] lr: 1.0000e-02 eta: 14:13:32 time: 0.5777 data_time: 0.0324 memory: 24011 grad_norm: 3.9758 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1505 loss: 1.1505 2022/08/04 20:20:49 - mmengine - INFO - Epoch(train) [17][220/940] lr: 1.0000e-02 eta: 14:13:18 time: 0.6392 data_time: 0.0727 memory: 24011 grad_norm: 4.0884 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2042 loss: 1.2042 2022/08/04 20:21:02 - mmengine - INFO - Epoch(train) [17][240/940] lr: 1.0000e-02 eta: 14:13:05 time: 0.6499 data_time: 0.0981 memory: 24011 grad_norm: 4.1167 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1795 loss: 1.1795 2022/08/04 20:21:14 - mmengine - INFO - Epoch(train) [17][260/940] lr: 1.0000e-02 eta: 14:12:47 time: 0.6029 data_time: 0.0557 memory: 24011 grad_norm: 4.3223 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.2341 loss: 1.2341 2022/08/04 20:21:26 - mmengine - INFO - Epoch(train) [17][280/940] lr: 1.0000e-02 eta: 14:12:30 time: 0.6178 data_time: 0.0709 memory: 24011 grad_norm: 4.1463 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2822 loss: 1.2822 2022/08/04 20:21:39 - mmengine - INFO - Epoch(train) [17][300/940] lr: 1.0000e-02 eta: 14:12:14 time: 0.6211 data_time: 0.0777 memory: 24011 grad_norm: 4.1857 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2282 loss: 1.2282 2022/08/04 20:21:52 - mmengine - INFO - Epoch(train) [17][320/940] lr: 1.0000e-02 eta: 14:12:00 time: 0.6398 data_time: 0.0947 memory: 24011 grad_norm: 4.3894 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.3659 loss: 1.3659 2022/08/04 20:22:04 - mmengine - INFO - Epoch(train) [17][340/940] lr: 1.0000e-02 eta: 14:11:42 time: 0.5991 data_time: 0.0458 memory: 24011 grad_norm: 4.2321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/08/04 20:22:16 - mmengine - INFO - Epoch(train) [17][360/940] lr: 1.0000e-02 eta: 14:11:26 time: 0.6172 data_time: 0.0490 memory: 24011 grad_norm: 4.3259 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1976 loss: 1.1976 2022/08/04 20:22:29 - mmengine - INFO - Epoch(train) [17][380/940] lr: 1.0000e-02 eta: 14:11:12 time: 0.6428 data_time: 0.0745 memory: 24011 grad_norm: 4.4517 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.1612 loss: 1.1612 2022/08/04 20:22:41 - mmengine - INFO - Epoch(train) [17][400/940] lr: 1.0000e-02 eta: 14:10:56 time: 0.6198 data_time: 0.0527 memory: 24011 grad_norm: 4.1164 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2007 loss: 1.2007 2022/08/04 20:22:54 - mmengine - INFO - Epoch(train) [17][420/940] lr: 1.0000e-02 eta: 14:10:42 time: 0.6415 data_time: 0.0842 memory: 24011 grad_norm: 4.8784 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2493 loss: 1.2493 2022/08/04 20:23:07 - mmengine - INFO - Epoch(train) [17][440/940] lr: 1.0000e-02 eta: 14:10:27 time: 0.6276 data_time: 0.0579 memory: 24011 grad_norm: 4.0352 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1721 loss: 1.1721 2022/08/04 20:23:19 - mmengine - INFO - Epoch(train) [17][460/940] lr: 1.0000e-02 eta: 14:10:09 time: 0.5960 data_time: 0.0316 memory: 24011 grad_norm: 4.0773 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.3502 loss: 1.3502 2022/08/04 20:23:31 - mmengine - INFO - Epoch(train) [17][480/940] lr: 1.0000e-02 eta: 14:09:52 time: 0.6150 data_time: 0.0403 memory: 24011 grad_norm: 4.2564 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1428 loss: 1.1428 2022/08/04 20:23:44 - mmengine - INFO - Epoch(train) [17][500/940] lr: 1.0000e-02 eta: 14:09:38 time: 0.6387 data_time: 0.0591 memory: 24011 grad_norm: 3.9479 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2606 loss: 1.2606 2022/08/04 20:23:56 - mmengine - INFO - Epoch(train) [17][520/940] lr: 1.0000e-02 eta: 14:09:20 time: 0.5967 data_time: 0.0379 memory: 24011 grad_norm: 4.0797 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1789 loss: 1.1789 2022/08/04 20:24:08 - mmengine - INFO - Epoch(train) [17][540/940] lr: 1.0000e-02 eta: 14:09:04 time: 0.6230 data_time: 0.0326 memory: 24011 grad_norm: 3.8778 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2625 loss: 1.2625 2022/08/04 20:24:20 - mmengine - INFO - Epoch(train) [17][560/940] lr: 1.0000e-02 eta: 14:08:48 time: 0.6222 data_time: 0.0370 memory: 24011 grad_norm: 4.1216 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1305 loss: 1.1305 2022/08/04 20:24:33 - mmengine - INFO - Epoch(train) [17][580/940] lr: 1.0000e-02 eta: 14:08:32 time: 0.6176 data_time: 0.0385 memory: 24011 grad_norm: 3.9970 top1_acc: 0.6875 top5_acc: 0.7188 loss_cls: 1.2622 loss: 1.2622 2022/08/04 20:24:45 - mmengine - INFO - Epoch(train) [17][600/940] lr: 1.0000e-02 eta: 14:08:16 time: 0.6238 data_time: 0.0363 memory: 24011 grad_norm: 3.9566 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1941 loss: 1.1941 2022/08/04 20:24:59 - mmengine - INFO - Epoch(train) [17][620/940] lr: 1.0000e-02 eta: 14:08:05 time: 0.6614 data_time: 0.0875 memory: 24011 grad_norm: 5.1633 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2635 loss: 1.2635 2022/08/04 20:25:11 - mmengine - INFO - Epoch(train) [17][640/940] lr: 1.0000e-02 eta: 14:07:48 time: 0.6126 data_time: 0.0416 memory: 24011 grad_norm: 4.3487 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3020 loss: 1.3020 2022/08/04 20:25:23 - mmengine - INFO - Epoch(train) [17][660/940] lr: 1.0000e-02 eta: 14:07:33 time: 0.6317 data_time: 0.0769 memory: 24011 grad_norm: 4.1174 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2853 loss: 1.2853 2022/08/04 20:25:36 - mmengine - INFO - Epoch(train) [17][680/940] lr: 1.0000e-02 eta: 14:07:16 time: 0.6070 data_time: 0.0407 memory: 24011 grad_norm: 4.3690 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1699 loss: 1.1699 2022/08/04 20:25:48 - mmengine - INFO - Epoch(train) [17][700/940] lr: 1.0000e-02 eta: 14:07:00 time: 0.6193 data_time: 0.0380 memory: 24011 grad_norm: 4.3207 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1094 loss: 1.1094 2022/08/04 20:26:01 - mmengine - INFO - Epoch(train) [17][720/940] lr: 1.0000e-02 eta: 14:06:45 time: 0.6335 data_time: 0.0485 memory: 24011 grad_norm: 4.1730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2332 loss: 1.2332 2022/08/04 20:26:13 - mmengine - INFO - Epoch(train) [17][740/940] lr: 1.0000e-02 eta: 14:06:31 time: 0.6393 data_time: 0.0308 memory: 24011 grad_norm: 4.2121 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2609 loss: 1.2609 2022/08/04 20:26:25 - mmengine - INFO - Epoch(train) [17][760/940] lr: 1.0000e-02 eta: 14:06:13 time: 0.5987 data_time: 0.0347 memory: 24011 grad_norm: 4.4182 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.2144 loss: 1.2144 2022/08/04 20:26:38 - mmengine - INFO - Epoch(train) [17][780/940] lr: 1.0000e-02 eta: 14:05:59 time: 0.6330 data_time: 0.0424 memory: 24011 grad_norm: 4.0954 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1648 loss: 1.1648 2022/08/04 20:26:50 - mmengine - INFO - Epoch(train) [17][800/940] lr: 1.0000e-02 eta: 14:05:43 time: 0.6164 data_time: 0.0396 memory: 24011 grad_norm: 5.1274 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2494 loss: 1.2494 2022/08/04 20:27:03 - mmengine - INFO - Epoch(train) [17][820/940] lr: 1.0000e-02 eta: 14:05:27 time: 0.6196 data_time: 0.0483 memory: 24011 grad_norm: 4.2539 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2859 loss: 1.2859 2022/08/04 20:27:16 - mmengine - INFO - Epoch(train) [17][840/940] lr: 1.0000e-02 eta: 14:05:13 time: 0.6384 data_time: 0.0588 memory: 24011 grad_norm: 4.2408 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.3082 loss: 1.3082 2022/08/04 20:27:28 - mmengine - INFO - Epoch(train) [17][860/940] lr: 1.0000e-02 eta: 14:04:56 time: 0.6105 data_time: 0.0296 memory: 24011 grad_norm: 4.5883 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2892 loss: 1.2892 2022/08/04 20:27:40 - mmengine - INFO - Epoch(train) [17][880/940] lr: 1.0000e-02 eta: 14:04:41 time: 0.6301 data_time: 0.0391 memory: 24011 grad_norm: 4.2667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1157 loss: 1.1157 2022/08/04 20:27:53 - mmengine - INFO - Epoch(train) [17][900/940] lr: 1.0000e-02 eta: 14:04:27 time: 0.6436 data_time: 0.0284 memory: 24011 grad_norm: 4.3083 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2975 loss: 1.2975 2022/08/04 20:28:06 - mmengine - INFO - Epoch(train) [17][920/940] lr: 1.0000e-02 eta: 14:04:12 time: 0.6243 data_time: 0.0349 memory: 24011 grad_norm: 4.1167 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2024 loss: 1.2024 2022/08/04 20:28:16 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:28:16 - mmengine - INFO - Epoch(train) [17][940/940] lr: 1.0000e-02 eta: 14:03:48 time: 0.5389 data_time: 0.0308 memory: 24011 grad_norm: 4.2892 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1357 loss: 1.1357 2022/08/04 20:28:30 - mmengine - INFO - Epoch(val) [17][20/78] eta: 0:00:39 time: 0.6817 data_time: 0.5276 memory: 3625 2022/08/04 20:28:40 - mmengine - INFO - Epoch(val) [17][40/78] eta: 0:00:18 time: 0.4823 data_time: 0.3132 memory: 3625 2022/08/04 20:28:52 - mmengine - INFO - Epoch(val) [17][60/78] eta: 0:00:10 time: 0.6064 data_time: 0.4507 memory: 3625 2022/08/04 20:29:06 - mmengine - INFO - Epoch(val) [17][78/78] acc/top1: 0.7219 acc/top5: 0.9039 acc/mean1: 0.7217 2022/08/04 20:29:06 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_17.pth is removed 2022/08/04 20:29:09 - mmengine - INFO - The best checkpoint with 0.7219 acc/top1 at 18 epoch is saved to best_acc/top1_epoch_18.pth. 2022/08/04 20:29:25 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:29:25 - mmengine - INFO - Epoch(train) [18][20/940] lr: 1.0000e-02 eta: 14:03:50 time: 0.8040 data_time: 0.2459 memory: 24011 grad_norm: 4.0676 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1873 loss: 1.1873 2022/08/04 20:29:37 - mmengine - INFO - Epoch(train) [18][40/940] lr: 1.0000e-02 eta: 14:03:32 time: 0.5952 data_time: 0.0544 memory: 24011 grad_norm: 4.3050 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1983 loss: 1.1983 2022/08/04 20:29:50 - mmengine - INFO - Epoch(train) [18][60/940] lr: 1.0000e-02 eta: 14:03:20 time: 0.6562 data_time: 0.1136 memory: 24011 grad_norm: 4.7189 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1654 loss: 1.1654 2022/08/04 20:30:02 - mmengine - INFO - Epoch(train) [18][80/940] lr: 1.0000e-02 eta: 14:03:04 time: 0.6164 data_time: 0.0669 memory: 24011 grad_norm: 4.1278 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2609 loss: 1.2609 2022/08/04 20:30:14 - mmengine - INFO - Epoch(train) [18][100/940] lr: 1.0000e-02 eta: 14:02:46 time: 0.5957 data_time: 0.0487 memory: 24011 grad_norm: 4.1295 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2304 loss: 1.2304 2022/08/04 20:30:26 - mmengine - INFO - Epoch(train) [18][120/940] lr: 1.0000e-02 eta: 14:02:29 time: 0.6095 data_time: 0.0633 memory: 24011 grad_norm: 4.3948 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2132 loss: 1.2132 2022/08/04 20:30:39 - mmengine - INFO - Epoch(train) [18][140/940] lr: 1.0000e-02 eta: 14:02:15 time: 0.6397 data_time: 0.1019 memory: 24011 grad_norm: 4.5956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1296 loss: 1.1296 2022/08/04 20:30:51 - mmengine - INFO - Epoch(train) [18][160/940] lr: 1.0000e-02 eta: 14:01:58 time: 0.6113 data_time: 0.0491 memory: 24011 grad_norm: 4.6410 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1815 loss: 1.1815 2022/08/04 20:31:04 - mmengine - INFO - Epoch(train) [18][180/940] lr: 1.0000e-02 eta: 14:01:45 time: 0.6423 data_time: 0.0988 memory: 24011 grad_norm: 4.4145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2315 loss: 1.2315 2022/08/04 20:31:17 - mmengine - INFO - Epoch(train) [18][200/940] lr: 1.0000e-02 eta: 14:01:29 time: 0.6221 data_time: 0.0682 memory: 24011 grad_norm: 4.0658 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2223 loss: 1.2223 2022/08/04 20:31:30 - mmengine - INFO - Epoch(train) [18][220/940] lr: 1.0000e-02 eta: 14:01:16 time: 0.6485 data_time: 0.0865 memory: 24011 grad_norm: 4.3510 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.4069 loss: 1.4069 2022/08/04 20:31:42 - mmengine - INFO - Epoch(train) [18][240/940] lr: 1.0000e-02 eta: 14:01:01 time: 0.6227 data_time: 0.0818 memory: 24011 grad_norm: 4.1751 top1_acc: 0.4688 top5_acc: 0.8438 loss_cls: 1.2122 loss: 1.2122 2022/08/04 20:31:55 - mmengine - INFO - Epoch(train) [18][260/940] lr: 1.0000e-02 eta: 14:00:45 time: 0.6167 data_time: 0.0618 memory: 24011 grad_norm: 4.2170 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1567 loss: 1.1567 2022/08/04 20:32:07 - mmengine - INFO - Epoch(train) [18][280/940] lr: 1.0000e-02 eta: 14:00:29 time: 0.6223 data_time: 0.0602 memory: 24011 grad_norm: 4.2867 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2821 loss: 1.2821 2022/08/04 20:32:19 - mmengine - INFO - Epoch(train) [18][300/940] lr: 1.0000e-02 eta: 14:00:12 time: 0.6067 data_time: 0.0337 memory: 24011 grad_norm: 3.9819 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1616 loss: 1.1616 2022/08/04 20:32:31 - mmengine - INFO - Epoch(train) [18][320/940] lr: 1.0000e-02 eta: 13:59:56 time: 0.6139 data_time: 0.0540 memory: 24011 grad_norm: 4.3967 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.3044 loss: 1.3044 2022/08/04 20:32:45 - mmengine - INFO - Epoch(train) [18][340/940] lr: 1.0000e-02 eta: 13:59:47 time: 0.6909 data_time: 0.0346 memory: 24011 grad_norm: 4.2332 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3757 loss: 1.3757 2022/08/04 20:32:57 - mmengine - INFO - Epoch(train) [18][360/940] lr: 1.0000e-02 eta: 13:59:29 time: 0.5985 data_time: 0.0511 memory: 24011 grad_norm: 4.0519 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1764 loss: 1.1764 2022/08/04 20:33:09 - mmengine - INFO - Epoch(train) [18][380/940] lr: 1.0000e-02 eta: 13:59:10 time: 0.5849 data_time: 0.0328 memory: 24011 grad_norm: 4.7372 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1747 loss: 1.1747 2022/08/04 20:33:21 - mmengine - INFO - Epoch(train) [18][400/940] lr: 1.0000e-02 eta: 13:58:55 time: 0.6282 data_time: 0.0358 memory: 24011 grad_norm: 4.2641 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2085 loss: 1.2085 2022/08/04 20:33:34 - mmengine - INFO - Epoch(train) [18][420/940] lr: 1.0000e-02 eta: 13:58:40 time: 0.6240 data_time: 0.0340 memory: 24011 grad_norm: 4.3128 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1650 loss: 1.1650 2022/08/04 20:33:46 - mmengine - INFO - Epoch(train) [18][440/940] lr: 1.0000e-02 eta: 13:58:23 time: 0.6024 data_time: 0.0317 memory: 24011 grad_norm: 4.5938 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1504 loss: 1.1504 2022/08/04 20:33:59 - mmengine - INFO - Epoch(train) [18][460/940] lr: 1.0000e-02 eta: 13:58:07 time: 0.6248 data_time: 0.0346 memory: 24011 grad_norm: 4.1999 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3379 loss: 1.3379 2022/08/04 20:34:11 - mmengine - INFO - Epoch(train) [18][480/940] lr: 1.0000e-02 eta: 13:57:54 time: 0.6376 data_time: 0.0378 memory: 24011 grad_norm: 4.0983 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2712 loss: 1.2712 2022/08/04 20:34:23 - mmengine - INFO - Epoch(train) [18][500/940] lr: 1.0000e-02 eta: 13:57:36 time: 0.5965 data_time: 0.0383 memory: 24011 grad_norm: 4.1565 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0869 loss: 1.0869 2022/08/04 20:34:40 - mmengine - INFO - Epoch(train) [18][520/940] lr: 1.0000e-02 eta: 13:57:39 time: 0.8210 data_time: 0.0330 memory: 24011 grad_norm: 4.1413 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.2386 loss: 1.2386 2022/08/04 20:34:51 - mmengine - INFO - Epoch(train) [18][540/940] lr: 1.0000e-02 eta: 13:57:20 time: 0.5817 data_time: 0.0369 memory: 24011 grad_norm: 4.0356 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2246 loss: 1.2246 2022/08/04 20:35:03 - mmengine - INFO - Epoch(train) [18][560/940] lr: 1.0000e-02 eta: 13:57:01 time: 0.5830 data_time: 0.0463 memory: 24011 grad_norm: 4.1457 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2291 loss: 1.2291 2022/08/04 20:35:15 - mmengine - INFO - Epoch(train) [18][580/940] lr: 1.0000e-02 eta: 13:56:46 time: 0.6271 data_time: 0.0374 memory: 24011 grad_norm: 4.1167 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1291 loss: 1.1291 2022/08/04 20:35:28 - mmengine - INFO - Epoch(train) [18][600/940] lr: 1.0000e-02 eta: 13:56:31 time: 0.6265 data_time: 0.0338 memory: 24011 grad_norm: 3.9099 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1779 loss: 1.1779 2022/08/04 20:35:40 - mmengine - INFO - Epoch(train) [18][620/940] lr: 1.0000e-02 eta: 13:56:14 time: 0.6129 data_time: 0.0362 memory: 24011 grad_norm: 4.0255 top1_acc: 0.5625 top5_acc: 0.7188 loss_cls: 1.3356 loss: 1.3356 2022/08/04 20:35:53 - mmengine - INFO - Epoch(train) [18][640/940] lr: 1.0000e-02 eta: 13:56:00 time: 0.6355 data_time: 0.0365 memory: 24011 grad_norm: 4.1331 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.3147 loss: 1.3147 2022/08/04 20:36:06 - mmengine - INFO - Epoch(train) [18][660/940] lr: 1.0000e-02 eta: 13:55:47 time: 0.6447 data_time: 0.0377 memory: 24011 grad_norm: 4.6910 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0692 loss: 1.0692 2022/08/04 20:36:18 - mmengine - INFO - Epoch(train) [18][680/940] lr: 1.0000e-02 eta: 13:55:31 time: 0.6162 data_time: 0.0295 memory: 24011 grad_norm: 4.2714 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.3294 loss: 1.3294 2022/08/04 20:36:31 - mmengine - INFO - Epoch(train) [18][700/940] lr: 1.0000e-02 eta: 13:55:16 time: 0.6304 data_time: 0.0418 memory: 24011 grad_norm: 4.4400 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1020 loss: 1.1020 2022/08/04 20:36:43 - mmengine - INFO - Epoch(train) [18][720/940] lr: 1.0000e-02 eta: 13:55:02 time: 0.6280 data_time: 0.0332 memory: 24011 grad_norm: 4.4542 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1784 loss: 1.1784 2022/08/04 20:36:56 - mmengine - INFO - Epoch(train) [18][740/940] lr: 1.0000e-02 eta: 13:54:47 time: 0.6338 data_time: 0.0546 memory: 24011 grad_norm: 4.1703 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2554 loss: 1.2554 2022/08/04 20:37:08 - mmengine - INFO - Epoch(train) [18][760/940] lr: 1.0000e-02 eta: 13:54:30 time: 0.6060 data_time: 0.0451 memory: 24011 grad_norm: 4.2583 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.3000 loss: 1.3000 2022/08/04 20:37:21 - mmengine - INFO - Epoch(train) [18][780/940] lr: 1.0000e-02 eta: 13:54:18 time: 0.6586 data_time: 0.0370 memory: 24011 grad_norm: 4.6270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2018 loss: 1.2018 2022/08/04 20:37:33 - mmengine - INFO - Epoch(train) [18][800/940] lr: 1.0000e-02 eta: 13:54:01 time: 0.6045 data_time: 0.0331 memory: 24011 grad_norm: 4.5267 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1874 loss: 1.1874 2022/08/04 20:37:46 - mmengine - INFO - Epoch(train) [18][820/940] lr: 1.0000e-02 eta: 13:53:45 time: 0.6061 data_time: 0.0401 memory: 24011 grad_norm: 4.2947 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2571 loss: 1.2571 2022/08/04 20:37:58 - mmengine - INFO - Epoch(train) [18][840/940] lr: 1.0000e-02 eta: 13:53:27 time: 0.5993 data_time: 0.0383 memory: 24011 grad_norm: 4.0516 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1215 loss: 1.1215 2022/08/04 20:38:10 - mmengine - INFO - Epoch(train) [18][860/940] lr: 1.0000e-02 eta: 13:53:11 time: 0.6172 data_time: 0.0359 memory: 24011 grad_norm: 4.1778 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.1886 loss: 1.1886 2022/08/04 20:38:22 - mmengine - INFO - Epoch(train) [18][880/940] lr: 1.0000e-02 eta: 13:52:55 time: 0.6099 data_time: 0.0448 memory: 24011 grad_norm: 4.0015 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1544 loss: 1.1544 2022/08/04 20:38:34 - mmengine - INFO - Epoch(train) [18][900/940] lr: 1.0000e-02 eta: 13:52:37 time: 0.5939 data_time: 0.0299 memory: 24011 grad_norm: 4.5641 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.3275 loss: 1.3275 2022/08/04 20:38:46 - mmengine - INFO - Epoch(train) [18][920/940] lr: 1.0000e-02 eta: 13:52:21 time: 0.6087 data_time: 0.0516 memory: 24011 grad_norm: 4.2290 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2865 loss: 1.2865 2022/08/04 20:38:57 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:38:57 - mmengine - INFO - Epoch(train) [18][940/940] lr: 1.0000e-02 eta: 13:51:59 time: 0.5575 data_time: 0.0372 memory: 24011 grad_norm: 4.4147 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3073 loss: 1.3073 2022/08/04 20:38:57 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/04 20:39:18 - mmengine - INFO - Epoch(val) [18][20/78] eta: 0:00:43 time: 0.7433 data_time: 0.5909 memory: 3625 2022/08/04 20:39:27 - mmengine - INFO - Epoch(val) [18][40/78] eta: 0:00:17 time: 0.4536 data_time: 0.3018 memory: 3625 2022/08/04 20:39:39 - mmengine - INFO - Epoch(val) [18][60/78] eta: 0:00:10 time: 0.6106 data_time: 0.4611 memory: 3625 2022/08/04 20:39:48 - mmengine - INFO - Epoch(val) [18][78/78] acc/top1: 0.7205 acc/top5: 0.9035 acc/mean1: 0.7203 2022/08/04 20:40:06 - mmengine - INFO - Epoch(train) [19][20/940] lr: 1.0000e-02 eta: 13:52:07 time: 0.8771 data_time: 0.3023 memory: 24011 grad_norm: 3.9952 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1177 loss: 1.1177 2022/08/04 20:40:19 - mmengine - INFO - Epoch(train) [19][40/940] lr: 1.0000e-02 eta: 13:51:53 time: 0.6362 data_time: 0.0356 memory: 24011 grad_norm: 3.9843 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1672 loss: 1.1672 2022/08/04 20:40:32 - mmengine - INFO - Epoch(train) [19][60/940] lr: 1.0000e-02 eta: 13:51:41 time: 0.6605 data_time: 0.0380 memory: 24011 grad_norm: 4.1865 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.1562 loss: 1.1562 2022/08/04 20:40:44 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:40:44 - mmengine - INFO - Epoch(train) [19][80/940] lr: 1.0000e-02 eta: 13:51:25 time: 0.6142 data_time: 0.0372 memory: 24011 grad_norm: 4.1050 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1784 loss: 1.1784 2022/08/04 20:40:57 - mmengine - INFO - Epoch(train) [19][100/940] lr: 1.0000e-02 eta: 13:51:11 time: 0.6335 data_time: 0.0316 memory: 24011 grad_norm: 4.0392 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0865 loss: 1.0865 2022/08/04 20:41:09 - mmengine - INFO - Epoch(train) [19][120/940] lr: 1.0000e-02 eta: 13:50:55 time: 0.6151 data_time: 0.0325 memory: 24011 grad_norm: 4.3484 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2597 loss: 1.2597 2022/08/04 20:41:22 - mmengine - INFO - Epoch(train) [19][140/940] lr: 1.0000e-02 eta: 13:50:43 time: 0.6590 data_time: 0.0317 memory: 24011 grad_norm: 4.2882 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1458 loss: 1.1458 2022/08/04 20:41:35 - mmengine - INFO - Epoch(train) [19][160/940] lr: 1.0000e-02 eta: 13:50:27 time: 0.6091 data_time: 0.0390 memory: 24011 grad_norm: 4.2142 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/08/04 20:41:47 - mmengine - INFO - Epoch(train) [19][180/940] lr: 1.0000e-02 eta: 13:50:14 time: 0.6429 data_time: 0.0395 memory: 24011 grad_norm: 3.9201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2337 loss: 1.2337 2022/08/04 20:42:00 - mmengine - INFO - Epoch(train) [19][200/940] lr: 1.0000e-02 eta: 13:49:58 time: 0.6204 data_time: 0.0367 memory: 24011 grad_norm: 4.0078 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2038 loss: 1.2038 2022/08/04 20:42:13 - mmengine - INFO - Epoch(train) [19][220/940] lr: 1.0000e-02 eta: 13:49:45 time: 0.6491 data_time: 0.0315 memory: 24011 grad_norm: 4.1598 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1745 loss: 1.1745 2022/08/04 20:42:25 - mmengine - INFO - Epoch(train) [19][240/940] lr: 1.0000e-02 eta: 13:49:29 time: 0.6136 data_time: 0.0400 memory: 24011 grad_norm: 4.6030 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1888 loss: 1.1888 2022/08/04 20:42:37 - mmengine - INFO - Epoch(train) [19][260/940] lr: 1.0000e-02 eta: 13:49:13 time: 0.6067 data_time: 0.0381 memory: 24011 grad_norm: 4.0884 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2941 loss: 1.2941 2022/08/04 20:42:49 - mmengine - INFO - Epoch(train) [19][280/940] lr: 1.0000e-02 eta: 13:48:57 time: 0.6124 data_time: 0.0344 memory: 24011 grad_norm: 4.1565 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2130 loss: 1.2130 2022/08/04 20:43:02 - mmengine - INFO - Epoch(train) [19][300/940] lr: 1.0000e-02 eta: 13:48:43 time: 0.6454 data_time: 0.0418 memory: 24011 grad_norm: 4.0580 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2351 loss: 1.2351 2022/08/04 20:43:15 - mmengine - INFO - Epoch(train) [19][320/940] lr: 1.0000e-02 eta: 13:48:29 time: 0.6341 data_time: 0.0392 memory: 24011 grad_norm: 4.2109 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1628 loss: 1.1628 2022/08/04 20:43:28 - mmengine - INFO - Epoch(train) [19][340/940] lr: 1.0000e-02 eta: 13:48:16 time: 0.6391 data_time: 0.0360 memory: 24011 grad_norm: 4.2586 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1363 loss: 1.1363 2022/08/04 20:43:40 - mmengine - INFO - Epoch(train) [19][360/940] lr: 1.0000e-02 eta: 13:47:59 time: 0.6049 data_time: 0.0416 memory: 24011 grad_norm: 4.5206 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1391 loss: 1.1391 2022/08/04 20:43:52 - mmengine - INFO - Epoch(train) [19][380/940] lr: 1.0000e-02 eta: 13:47:43 time: 0.6136 data_time: 0.0386 memory: 24011 grad_norm: 4.4124 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1340 loss: 1.1340 2022/08/04 20:44:05 - mmengine - INFO - Epoch(train) [19][400/940] lr: 1.0000e-02 eta: 13:47:28 time: 0.6294 data_time: 0.0349 memory: 24011 grad_norm: 4.4894 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.3095 loss: 1.3095 2022/08/04 20:44:18 - mmengine - INFO - Epoch(train) [19][420/940] lr: 1.0000e-02 eta: 13:47:16 time: 0.6593 data_time: 0.0338 memory: 24011 grad_norm: 4.2085 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0788 loss: 1.0788 2022/08/04 20:44:30 - mmengine - INFO - Epoch(train) [19][440/940] lr: 1.0000e-02 eta: 13:46:59 time: 0.5954 data_time: 0.0383 memory: 24011 grad_norm: 4.0994 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2877 loss: 1.2877 2022/08/04 20:44:42 - mmengine - INFO - Epoch(train) [19][460/940] lr: 1.0000e-02 eta: 13:46:42 time: 0.6085 data_time: 0.0398 memory: 24011 grad_norm: 4.1220 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0981 loss: 1.0981 2022/08/04 20:44:55 - mmengine - INFO - Epoch(train) [19][480/940] lr: 1.0000e-02 eta: 13:46:30 time: 0.6492 data_time: 0.0318 memory: 24011 grad_norm: 4.1246 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1214 loss: 1.1214 2022/08/04 20:45:07 - mmengine - INFO - Epoch(train) [19][500/940] lr: 1.0000e-02 eta: 13:46:14 time: 0.6156 data_time: 0.0441 memory: 24011 grad_norm: 4.4823 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0834 loss: 1.0834 2022/08/04 20:45:20 - mmengine - INFO - Epoch(train) [19][520/940] lr: 1.0000e-02 eta: 13:45:59 time: 0.6211 data_time: 0.0386 memory: 24011 grad_norm: 4.6539 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2882 loss: 1.2882 2022/08/04 20:45:32 - mmengine - INFO - Epoch(train) [19][540/940] lr: 1.0000e-02 eta: 13:45:41 time: 0.5895 data_time: 0.0382 memory: 24011 grad_norm: 4.3444 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1611 loss: 1.1611 2022/08/04 20:45:44 - mmengine - INFO - Epoch(train) [19][560/940] lr: 1.0000e-02 eta: 13:45:24 time: 0.6080 data_time: 0.0332 memory: 24011 grad_norm: 4.1735 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1566 loss: 1.1566 2022/08/04 20:45:56 - mmengine - INFO - Epoch(train) [19][580/940] lr: 1.0000e-02 eta: 13:45:10 time: 0.6362 data_time: 0.0432 memory: 24011 grad_norm: 4.0951 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2207 loss: 1.2207 2022/08/04 20:46:08 - mmengine - INFO - Epoch(train) [19][600/940] lr: 1.0000e-02 eta: 13:44:53 time: 0.5975 data_time: 0.0319 memory: 24011 grad_norm: 4.2312 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1158 loss: 1.1158 2022/08/04 20:46:21 - mmengine - INFO - Epoch(train) [19][620/940] lr: 1.0000e-02 eta: 13:44:39 time: 0.6350 data_time: 0.0358 memory: 24011 grad_norm: 4.1795 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1930 loss: 1.1930 2022/08/04 20:46:33 - mmengine - INFO - Epoch(train) [19][640/940] lr: 1.0000e-02 eta: 13:44:22 time: 0.5958 data_time: 0.0335 memory: 24011 grad_norm: 4.4137 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2445 loss: 1.2445 2022/08/04 20:46:47 - mmengine - INFO - Epoch(train) [19][660/940] lr: 1.0000e-02 eta: 13:44:11 time: 0.6787 data_time: 0.0361 memory: 24011 grad_norm: 4.0667 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1761 loss: 1.1761 2022/08/04 20:46:59 - mmengine - INFO - Epoch(train) [19][680/940] lr: 1.0000e-02 eta: 13:43:55 time: 0.6081 data_time: 0.0332 memory: 24011 grad_norm: 5.3337 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2386 loss: 1.2386 2022/08/04 20:47:11 - mmengine - INFO - Epoch(train) [19][700/940] lr: 1.0000e-02 eta: 13:43:40 time: 0.6199 data_time: 0.0339 memory: 24011 grad_norm: 4.3971 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1900 loss: 1.1900 2022/08/04 20:47:23 - mmengine - INFO - Epoch(train) [19][720/940] lr: 1.0000e-02 eta: 13:43:23 time: 0.6006 data_time: 0.0339 memory: 24011 grad_norm: 4.2999 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1482 loss: 1.1482 2022/08/04 20:47:36 - mmengine - INFO - Epoch(train) [19][740/940] lr: 1.0000e-02 eta: 13:43:09 time: 0.6396 data_time: 0.0339 memory: 24011 grad_norm: 4.3709 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1736 loss: 1.1736 2022/08/04 20:47:49 - mmengine - INFO - Epoch(train) [19][760/940] lr: 1.0000e-02 eta: 13:42:56 time: 0.6390 data_time: 0.0360 memory: 24011 grad_norm: 4.1700 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1629 loss: 1.1629 2022/08/04 20:48:02 - mmengine - INFO - Epoch(train) [19][780/940] lr: 1.0000e-02 eta: 13:42:42 time: 0.6353 data_time: 0.0370 memory: 24011 grad_norm: 4.5950 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.2253 loss: 1.2253 2022/08/04 20:48:14 - mmengine - INFO - Epoch(train) [19][800/940] lr: 1.0000e-02 eta: 13:42:27 time: 0.6309 data_time: 0.0440 memory: 24011 grad_norm: 5.1005 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1881 loss: 1.1881 2022/08/04 20:48:26 - mmengine - INFO - Epoch(train) [19][820/940] lr: 1.0000e-02 eta: 13:42:11 time: 0.6079 data_time: 0.0311 memory: 24011 grad_norm: 4.5118 top1_acc: 0.6562 top5_acc: 0.7500 loss_cls: 1.2501 loss: 1.2501 2022/08/04 20:48:39 - mmengine - INFO - Epoch(train) [19][840/940] lr: 1.0000e-02 eta: 13:41:57 time: 0.6275 data_time: 0.0379 memory: 24011 grad_norm: 6.2635 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.2416 loss: 1.2416 2022/08/04 20:48:51 - mmengine - INFO - Epoch(train) [19][860/940] lr: 1.0000e-02 eta: 13:41:40 time: 0.6081 data_time: 0.0370 memory: 24011 grad_norm: 5.1317 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.3019 loss: 1.3019 2022/08/04 20:49:04 - mmengine - INFO - Epoch(train) [19][880/940] lr: 1.0000e-02 eta: 13:41:27 time: 0.6418 data_time: 0.0362 memory: 24011 grad_norm: 4.6159 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4051 loss: 1.4051 2022/08/04 20:49:16 - mmengine - INFO - Epoch(train) [19][900/940] lr: 1.0000e-02 eta: 13:41:10 time: 0.6006 data_time: 0.0310 memory: 24011 grad_norm: 4.6753 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2293 loss: 1.2293 2022/08/04 20:49:28 - mmengine - INFO - Epoch(train) [19][920/940] lr: 1.0000e-02 eta: 13:40:54 time: 0.6155 data_time: 0.0344 memory: 24011 grad_norm: 4.5677 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1810 loss: 1.1810 2022/08/04 20:49:39 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:49:39 - mmengine - INFO - Epoch(train) [19][940/940] lr: 1.0000e-02 eta: 13:40:33 time: 0.5435 data_time: 0.0229 memory: 24011 grad_norm: 4.7371 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2441 loss: 1.2441 2022/08/04 20:49:52 - mmengine - INFO - Epoch(val) [19][20/78] eta: 0:00:38 time: 0.6644 data_time: 0.5112 memory: 3625 2022/08/04 20:50:02 - mmengine - INFO - Epoch(val) [19][40/78] eta: 0:00:17 time: 0.4713 data_time: 0.3176 memory: 3625 2022/08/04 20:50:14 - mmengine - INFO - Epoch(val) [19][60/78] eta: 0:00:10 time: 0.5907 data_time: 0.4249 memory: 3625 2022/08/04 20:50:24 - mmengine - INFO - Epoch(val) [19][78/78] acc/top1: 0.7143 acc/top5: 0.9011 acc/mean1: 0.7141 2022/08/04 20:50:42 - mmengine - INFO - Epoch(train) [20][20/940] lr: 1.0000e-02 eta: 13:40:41 time: 0.8932 data_time: 0.2824 memory: 24011 grad_norm: 4.6279 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3238 loss: 1.3238 2022/08/04 20:50:55 - mmengine - INFO - Epoch(train) [20][40/940] lr: 1.0000e-02 eta: 13:40:29 time: 0.6556 data_time: 0.0436 memory: 24011 grad_norm: 4.1459 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1545 loss: 1.1545 2022/08/04 20:51:07 - mmengine - INFO - Epoch(train) [20][60/940] lr: 1.0000e-02 eta: 13:40:11 time: 0.5905 data_time: 0.0319 memory: 24011 grad_norm: 4.2128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2717 loss: 1.2717 2022/08/04 20:51:19 - mmengine - INFO - Epoch(train) [20][80/940] lr: 1.0000e-02 eta: 13:39:56 time: 0.6218 data_time: 0.0340 memory: 24011 grad_norm: 4.3340 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2522 loss: 1.2522 2022/08/04 20:51:32 - mmengine - INFO - Epoch(train) [20][100/940] lr: 1.0000e-02 eta: 13:39:41 time: 0.6264 data_time: 0.0615 memory: 24011 grad_norm: 4.3420 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2228 loss: 1.2228 2022/08/04 20:51:45 - mmengine - INFO - Epoch(train) [20][120/940] lr: 1.0000e-02 eta: 13:39:30 time: 0.6641 data_time: 0.0389 memory: 24011 grad_norm: 4.5633 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1759 loss: 1.1759 2022/08/04 20:51:58 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 20:51:58 - mmengine - INFO - Epoch(train) [20][140/940] lr: 1.0000e-02 eta: 13:39:17 time: 0.6537 data_time: 0.0346 memory: 24011 grad_norm: 4.3702 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1866 loss: 1.1866 2022/08/04 20:52:10 - mmengine - INFO - Epoch(train) [20][160/940] lr: 1.0000e-02 eta: 13:38:59 time: 0.5823 data_time: 0.0392 memory: 24011 grad_norm: 4.5305 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1890 loss: 1.1890 2022/08/04 20:52:23 - mmengine - INFO - Epoch(train) [20][180/940] lr: 1.0000e-02 eta: 13:38:47 time: 0.6579 data_time: 0.0331 memory: 24011 grad_norm: 4.4434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1146 loss: 1.1146 2022/08/04 20:52:35 - mmengine - INFO - Epoch(train) [20][200/940] lr: 1.0000e-02 eta: 13:38:31 time: 0.6158 data_time: 0.0362 memory: 24011 grad_norm: 4.3176 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2399 loss: 1.2399 2022/08/04 20:52:48 - mmengine - INFO - Epoch(train) [20][220/940] lr: 1.0000e-02 eta: 13:38:17 time: 0.6247 data_time: 0.0299 memory: 24011 grad_norm: 4.2796 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1525 loss: 1.1525 2022/08/04 20:53:00 - mmengine - INFO - Epoch(train) [20][240/940] lr: 1.0000e-02 eta: 13:38:01 time: 0.6129 data_time: 0.0339 memory: 24011 grad_norm: 4.3254 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0511 loss: 1.0511 2022/08/04 20:53:12 - mmengine - INFO - Epoch(train) [20][260/940] lr: 1.0000e-02 eta: 13:37:45 time: 0.6171 data_time: 0.0354 memory: 24011 grad_norm: 4.5031 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2553 loss: 1.2553 2022/08/04 20:53:25 - mmengine - INFO - Epoch(train) [20][280/940] lr: 1.0000e-02 eta: 13:37:29 time: 0.6109 data_time: 0.0395 memory: 24011 grad_norm: 4.6351 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.3118 loss: 1.3118 2022/08/04 20:53:37 - mmengine - INFO - Epoch(train) [20][300/940] lr: 1.0000e-02 eta: 13:37:16 time: 0.6370 data_time: 0.0392 memory: 24011 grad_norm: 4.1210 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1805 loss: 1.1805 2022/08/04 20:53:49 - mmengine - INFO - Epoch(train) [20][320/940] lr: 1.0000e-02 eta: 13:37:00 time: 0.6087 data_time: 0.0461 memory: 24011 grad_norm: 4.6206 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2304 loss: 1.2304 2022/08/04 20:54:03 - mmengine - INFO - Epoch(train) [20][340/940] lr: 1.0000e-02 eta: 13:36:48 time: 0.6623 data_time: 0.0424 memory: 24011 grad_norm: 5.0460 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 1.3307 loss: 1.3307 2022/08/04 20:54:15 - mmengine - INFO - Epoch(train) [20][360/940] lr: 1.0000e-02 eta: 13:36:33 time: 0.6189 data_time: 0.0331 memory: 24011 grad_norm: 4.3357 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.3601 loss: 1.3601 2022/08/04 20:54:27 - mmengine - INFO - Epoch(train) [20][380/940] lr: 1.0000e-02 eta: 13:36:16 time: 0.6016 data_time: 0.0376 memory: 24011 grad_norm: 4.4141 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0686 loss: 1.0686 2022/08/04 20:54:39 - mmengine - INFO - Epoch(train) [20][400/940] lr: 1.0000e-02 eta: 13:35:57 time: 0.5750 data_time: 0.0325 memory: 24011 grad_norm: 4.7680 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0641 loss: 1.0641 2022/08/04 20:54:52 - mmengine - INFO - Epoch(train) [20][420/940] lr: 1.0000e-02 eta: 13:35:47 time: 0.6823 data_time: 0.0373 memory: 24011 grad_norm: 4.6778 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2880 loss: 1.2880 2022/08/04 20:55:05 - mmengine - INFO - Epoch(train) [20][440/940] lr: 1.0000e-02 eta: 13:35:34 time: 0.6431 data_time: 0.0339 memory: 24011 grad_norm: 5.0607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1737 loss: 1.1737 2022/08/04 20:55:18 - mmengine - INFO - Epoch(train) [20][460/940] lr: 1.0000e-02 eta: 13:35:19 time: 0.6168 data_time: 0.0329 memory: 24011 grad_norm: 4.3796 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2572 loss: 1.2572 2022/08/04 20:55:30 - mmengine - INFO - Epoch(train) [20][480/940] lr: 1.0000e-02 eta: 13:35:05 time: 0.6387 data_time: 0.0445 memory: 24011 grad_norm: 4.5542 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2912 loss: 1.2912 2022/08/04 20:55:43 - mmengine - INFO - Epoch(train) [20][500/940] lr: 1.0000e-02 eta: 13:34:52 time: 0.6419 data_time: 0.0326 memory: 24011 grad_norm: 4.7587 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2132 loss: 1.2132 2022/08/04 20:55:55 - mmengine - INFO - Epoch(train) [20][520/940] lr: 1.0000e-02 eta: 13:34:36 time: 0.6115 data_time: 0.0378 memory: 24011 grad_norm: 4.2848 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1871 loss: 1.1871 2022/08/04 20:56:08 - mmengine - INFO - Epoch(train) [20][540/940] lr: 1.0000e-02 eta: 13:34:21 time: 0.6203 data_time: 0.0401 memory: 24011 grad_norm: 4.3660 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1010 loss: 1.1010 2022/08/04 20:56:20 - mmengine - INFO - Epoch(train) [20][560/940] lr: 1.0000e-02 eta: 13:34:04 time: 0.5947 data_time: 0.0335 memory: 24011 grad_norm: 4.8921 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2444 loss: 1.2444 2022/08/04 20:56:32 - mmengine - INFO - Epoch(train) [20][580/940] lr: 1.0000e-02 eta: 13:33:49 time: 0.6179 data_time: 0.0340 memory: 24011 grad_norm: 4.4336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/08/04 20:56:44 - mmengine - INFO - Epoch(train) [20][600/940] lr: 1.0000e-02 eta: 13:33:32 time: 0.6031 data_time: 0.0386 memory: 24011 grad_norm: 4.5251 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1746 loss: 1.1746 2022/08/04 20:56:56 - mmengine - INFO - Epoch(train) [20][620/940] lr: 1.0000e-02 eta: 13:33:17 time: 0.6171 data_time: 0.0338 memory: 24011 grad_norm: 4.3519 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.2202 loss: 1.2202 2022/08/04 20:57:08 - mmengine - INFO - Epoch(train) [20][640/940] lr: 1.0000e-02 eta: 13:33:00 time: 0.5947 data_time: 0.0346 memory: 24011 grad_norm: 4.2015 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2402 loss: 1.2402 2022/08/04 20:57:21 - mmengine - INFO - Epoch(train) [20][660/940] lr: 1.0000e-02 eta: 13:32:47 time: 0.6450 data_time: 0.0388 memory: 24011 grad_norm: 4.5164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1703 loss: 1.1703 2022/08/04 20:57:33 - mmengine - INFO - Epoch(train) [20][680/940] lr: 1.0000e-02 eta: 13:32:29 time: 0.5865 data_time: 0.0374 memory: 24011 grad_norm: 4.0638 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2089 loss: 1.2089 2022/08/04 20:57:45 - mmengine - INFO - Epoch(train) [20][700/940] lr: 1.0000e-02 eta: 13:32:14 time: 0.6210 data_time: 0.0353 memory: 24011 grad_norm: 4.6843 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2178 loss: 1.2178 2022/08/04 20:57:59 - mmengine - INFO - Epoch(train) [20][720/940] lr: 1.0000e-02 eta: 13:32:02 time: 0.6587 data_time: 0.0365 memory: 24011 grad_norm: 4.2202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1495 loss: 1.1495 2022/08/04 20:58:11 - mmengine - INFO - Epoch(train) [20][740/940] lr: 1.0000e-02 eta: 13:31:48 time: 0.6277 data_time: 0.0394 memory: 24011 grad_norm: 4.4439 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2926 loss: 1.2926 2022/08/04 20:58:24 - mmengine - INFO - Epoch(train) [20][760/940] lr: 1.0000e-02 eta: 13:31:34 time: 0.6367 data_time: 0.0271 memory: 24011 grad_norm: 4.2245 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2881 loss: 1.2881 2022/08/04 20:58:37 - mmengine - INFO - Epoch(train) [20][780/940] lr: 1.0000e-02 eta: 13:31:20 time: 0.6345 data_time: 0.0369 memory: 24011 grad_norm: 4.2185 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1757 loss: 1.1757 2022/08/04 20:58:48 - mmengine - INFO - Epoch(train) [20][800/940] lr: 1.0000e-02 eta: 13:31:03 time: 0.5883 data_time: 0.0275 memory: 24011 grad_norm: 4.1101 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2102 loss: 1.2102 2022/08/04 20:59:00 - mmengine - INFO - Epoch(train) [20][820/940] lr: 1.0000e-02 eta: 13:30:46 time: 0.5949 data_time: 0.0341 memory: 24011 grad_norm: 4.2973 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2527 loss: 1.2527 2022/08/04 20:59:13 - mmengine - INFO - Epoch(train) [20][840/940] lr: 1.0000e-02 eta: 13:30:32 time: 0.6314 data_time: 0.0275 memory: 24011 grad_norm: 4.4682 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1875 loss: 1.1875 2022/08/04 20:59:26 - mmengine - INFO - Epoch(train) [20][860/940] lr: 1.0000e-02 eta: 13:30:19 time: 0.6488 data_time: 0.0558 memory: 24011 grad_norm: 4.2786 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0585 loss: 1.0585 2022/08/04 20:59:38 - mmengine - INFO - Epoch(train) [20][880/940] lr: 1.0000e-02 eta: 13:30:03 time: 0.6077 data_time: 0.0332 memory: 24011 grad_norm: 4.2017 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.2709 loss: 1.2709 2022/08/04 20:59:51 - mmengine - INFO - Epoch(train) [20][900/940] lr: 1.0000e-02 eta: 13:29:49 time: 0.6319 data_time: 0.0343 memory: 24011 grad_norm: 4.4242 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0904 loss: 1.0904 2022/08/04 21:00:03 - mmengine - INFO - Epoch(train) [20][920/940] lr: 1.0000e-02 eta: 13:29:35 time: 0.6374 data_time: 0.0356 memory: 24011 grad_norm: 4.2155 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2156 loss: 1.2156 2022/08/04 21:00:15 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:00:15 - mmengine - INFO - Epoch(train) [20][940/940] lr: 1.0000e-02 eta: 13:29:16 time: 0.5616 data_time: 0.0300 memory: 24011 grad_norm: 4.5425 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.2263 loss: 1.2263 2022/08/04 21:00:28 - mmengine - INFO - Epoch(val) [20][20/78] eta: 0:00:38 time: 0.6592 data_time: 0.4998 memory: 3625 2022/08/04 21:00:37 - mmengine - INFO - Epoch(val) [20][40/78] eta: 0:00:17 time: 0.4535 data_time: 0.2998 memory: 3625 2022/08/04 21:00:50 - mmengine - INFO - Epoch(val) [20][60/78] eta: 0:00:11 time: 0.6398 data_time: 0.4869 memory: 3625 2022/08/04 21:01:02 - mmengine - INFO - Epoch(val) [20][78/78] acc/top1: 0.7222 acc/top5: 0.9039 acc/mean1: 0.7220 2022/08/04 21:01:02 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_18.pth is removed 2022/08/04 21:01:06 - mmengine - INFO - The best checkpoint with 0.7222 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/04 21:01:23 - mmengine - INFO - Epoch(train) [21][20/940] lr: 1.0000e-02 eta: 13:29:18 time: 0.8375 data_time: 0.2776 memory: 24011 grad_norm: 4.4002 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/08/04 21:01:34 - mmengine - INFO - Epoch(train) [21][40/940] lr: 1.0000e-02 eta: 13:29:00 time: 0.5762 data_time: 0.0346 memory: 24011 grad_norm: 4.0877 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1338 loss: 1.1338 2022/08/04 21:01:47 - mmengine - INFO - Epoch(train) [21][60/940] lr: 1.0000e-02 eta: 13:28:45 time: 0.6260 data_time: 0.0861 memory: 24011 grad_norm: 4.7811 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1118 loss: 1.1118 2022/08/04 21:01:59 - mmengine - INFO - Epoch(train) [21][80/940] lr: 1.0000e-02 eta: 13:28:31 time: 0.6282 data_time: 0.0797 memory: 24011 grad_norm: 6.3292 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.3386 loss: 1.3386 2022/08/04 21:02:11 - mmengine - INFO - Epoch(train) [21][100/940] lr: 1.0000e-02 eta: 13:28:15 time: 0.6167 data_time: 0.0577 memory: 24011 grad_norm: 5.6742 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2888 loss: 1.2888 2022/08/04 21:02:24 - mmengine - INFO - Epoch(train) [21][120/940] lr: 1.0000e-02 eta: 13:28:00 time: 0.6186 data_time: 0.0656 memory: 24011 grad_norm: 5.4032 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.4070 loss: 1.4070 2022/08/04 21:02:36 - mmengine - INFO - Epoch(train) [21][140/940] lr: 1.0000e-02 eta: 13:27:45 time: 0.6187 data_time: 0.0358 memory: 24011 grad_norm: 5.0919 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3394 loss: 1.3394 2022/08/04 21:02:48 - mmengine - INFO - Epoch(train) [21][160/940] lr: 1.0000e-02 eta: 13:27:29 time: 0.5973 data_time: 0.0478 memory: 24011 grad_norm: 5.0203 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1323 loss: 1.1323 2022/08/04 21:03:01 - mmengine - INFO - Epoch(train) [21][180/940] lr: 1.0000e-02 eta: 13:27:16 time: 0.6484 data_time: 0.0913 memory: 24011 grad_norm: 4.6421 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1519 loss: 1.1519 2022/08/04 21:03:14 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:03:14 - mmengine - INFO - Epoch(train) [21][200/940] lr: 1.0000e-02 eta: 13:27:01 time: 0.6219 data_time: 0.0641 memory: 24011 grad_norm: 4.7262 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2708 loss: 1.2708 2022/08/04 21:03:26 - mmengine - INFO - Epoch(train) [21][220/940] lr: 1.0000e-02 eta: 13:26:46 time: 0.6134 data_time: 0.0337 memory: 24011 grad_norm: 4.3617 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0735 loss: 1.0735 2022/08/04 21:03:39 - mmengine - INFO - Epoch(train) [21][240/940] lr: 1.0000e-02 eta: 13:26:32 time: 0.6366 data_time: 0.0404 memory: 24011 grad_norm: 4.4042 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2551 loss: 1.2551 2022/08/04 21:03:51 - mmengine - INFO - Epoch(train) [21][260/940] lr: 1.0000e-02 eta: 13:26:17 time: 0.6159 data_time: 0.0611 memory: 24011 grad_norm: 4.4591 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1283 loss: 1.1283 2022/08/04 21:04:03 - mmengine - INFO - Epoch(train) [21][280/940] lr: 1.0000e-02 eta: 13:26:02 time: 0.6173 data_time: 0.0600 memory: 24011 grad_norm: 4.5928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1232 loss: 1.1232 2022/08/04 21:04:16 - mmengine - INFO - Epoch(train) [21][300/940] lr: 1.0000e-02 eta: 13:25:46 time: 0.6165 data_time: 0.0401 memory: 24011 grad_norm: 4.2085 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2188 loss: 1.2188 2022/08/04 21:04:29 - mmengine - INFO - Epoch(train) [21][320/940] lr: 1.0000e-02 eta: 13:25:36 time: 0.6795 data_time: 0.0310 memory: 24011 grad_norm: 4.3899 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1850 loss: 1.1850 2022/08/04 21:04:42 - mmengine - INFO - Epoch(train) [21][340/940] lr: 1.0000e-02 eta: 13:25:22 time: 0.6302 data_time: 0.0383 memory: 24011 grad_norm: 4.1695 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1919 loss: 1.1919 2022/08/04 21:04:54 - mmengine - INFO - Epoch(train) [21][360/940] lr: 1.0000e-02 eta: 13:25:08 time: 0.6310 data_time: 0.0313 memory: 24011 grad_norm: 4.3283 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.2579 loss: 1.2579 2022/08/04 21:05:07 - mmengine - INFO - Epoch(train) [21][380/940] lr: 1.0000e-02 eta: 13:24:53 time: 0.6224 data_time: 0.0366 memory: 24011 grad_norm: 4.2792 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1791 loss: 1.1791 2022/08/04 21:05:19 - mmengine - INFO - Epoch(train) [21][400/940] lr: 1.0000e-02 eta: 13:24:38 time: 0.6184 data_time: 0.0331 memory: 24011 grad_norm: 4.0467 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2360 loss: 1.2360 2022/08/04 21:05:32 - mmengine - INFO - Epoch(train) [21][420/940] lr: 1.0000e-02 eta: 13:24:23 time: 0.6176 data_time: 0.0623 memory: 24011 grad_norm: 3.9717 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2799 loss: 1.2799 2022/08/04 21:05:44 - mmengine - INFO - Epoch(train) [21][440/940] lr: 1.0000e-02 eta: 13:24:07 time: 0.6032 data_time: 0.0373 memory: 24011 grad_norm: 4.2468 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2819 loss: 1.2819 2022/08/04 21:05:56 - mmengine - INFO - Epoch(train) [21][460/940] lr: 1.0000e-02 eta: 13:23:51 time: 0.5982 data_time: 0.0364 memory: 24011 grad_norm: 4.3118 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2118 loss: 1.2118 2022/08/04 21:06:09 - mmengine - INFO - Epoch(train) [21][480/940] lr: 1.0000e-02 eta: 13:23:39 time: 0.6570 data_time: 0.0439 memory: 24011 grad_norm: 4.2409 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1989 loss: 1.1989 2022/08/04 21:06:21 - mmengine - INFO - Epoch(train) [21][500/940] lr: 1.0000e-02 eta: 13:23:22 time: 0.6032 data_time: 0.0302 memory: 24011 grad_norm: 4.1978 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.3099 loss: 1.3099 2022/08/04 21:06:34 - mmengine - INFO - Epoch(train) [21][520/940] lr: 1.0000e-02 eta: 13:23:09 time: 0.6412 data_time: 0.0396 memory: 24011 grad_norm: 4.1570 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.2144 loss: 1.2144 2022/08/04 21:06:46 - mmengine - INFO - Epoch(train) [21][540/940] lr: 1.0000e-02 eta: 13:22:54 time: 0.6116 data_time: 0.0310 memory: 24011 grad_norm: 4.3860 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0951 loss: 1.0951 2022/08/04 21:06:59 - mmengine - INFO - Epoch(train) [21][560/940] lr: 1.0000e-02 eta: 13:22:40 time: 0.6401 data_time: 0.0351 memory: 24011 grad_norm: 4.1273 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1892 loss: 1.1892 2022/08/04 21:07:11 - mmengine - INFO - Epoch(train) [21][580/940] lr: 1.0000e-02 eta: 13:22:25 time: 0.6154 data_time: 0.0332 memory: 24011 grad_norm: 4.0994 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0379 loss: 1.0379 2022/08/04 21:07:24 - mmengine - INFO - Epoch(train) [21][600/940] lr: 1.0000e-02 eta: 13:22:13 time: 0.6571 data_time: 0.0342 memory: 24011 grad_norm: 4.1633 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1845 loss: 1.1845 2022/08/04 21:07:36 - mmengine - INFO - Epoch(train) [21][620/940] lr: 1.0000e-02 eta: 13:21:57 time: 0.6054 data_time: 0.0368 memory: 24011 grad_norm: 4.0959 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2236 loss: 1.2236 2022/08/04 21:07:49 - mmengine - INFO - Epoch(train) [21][640/940] lr: 1.0000e-02 eta: 13:21:44 time: 0.6428 data_time: 0.0433 memory: 24011 grad_norm: 4.1937 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.1749 loss: 1.1749 2022/08/04 21:08:01 - mmengine - INFO - Epoch(train) [21][660/940] lr: 1.0000e-02 eta: 13:21:29 time: 0.6198 data_time: 0.0427 memory: 24011 grad_norm: 4.5349 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1896 loss: 1.1896 2022/08/04 21:08:14 - mmengine - INFO - Epoch(train) [21][680/940] lr: 1.0000e-02 eta: 13:21:14 time: 0.6135 data_time: 0.0418 memory: 24011 grad_norm: 4.3275 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1006 loss: 1.1006 2022/08/04 21:08:26 - mmengine - INFO - Epoch(train) [21][700/940] lr: 1.0000e-02 eta: 13:20:57 time: 0.5938 data_time: 0.0356 memory: 24011 grad_norm: 4.3541 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1853 loss: 1.1853 2022/08/04 21:08:38 - mmengine - INFO - Epoch(train) [21][720/940] lr: 1.0000e-02 eta: 13:20:43 time: 0.6320 data_time: 0.0385 memory: 24011 grad_norm: 4.1386 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0779 loss: 1.0779 2022/08/04 21:08:50 - mmengine - INFO - Epoch(train) [21][740/940] lr: 1.0000e-02 eta: 13:20:27 time: 0.5973 data_time: 0.0419 memory: 24011 grad_norm: 4.0587 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2408 loss: 1.2408 2022/08/04 21:09:03 - mmengine - INFO - Epoch(train) [21][760/940] lr: 1.0000e-02 eta: 13:20:12 time: 0.6180 data_time: 0.0322 memory: 24011 grad_norm: 4.1216 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1534 loss: 1.1534 2022/08/04 21:09:16 - mmengine - INFO - Epoch(train) [21][780/940] lr: 1.0000e-02 eta: 13:20:00 time: 0.6549 data_time: 0.0409 memory: 24011 grad_norm: 4.1663 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2177 loss: 1.2177 2022/08/04 21:09:28 - mmengine - INFO - Epoch(train) [21][800/940] lr: 1.0000e-02 eta: 13:19:45 time: 0.6274 data_time: 0.0340 memory: 24011 grad_norm: 4.2823 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1231 loss: 1.1231 2022/08/04 21:09:41 - mmengine - INFO - Epoch(train) [21][820/940] lr: 1.0000e-02 eta: 13:19:30 time: 0.6193 data_time: 0.0391 memory: 24011 grad_norm: 4.3304 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1017 loss: 1.1017 2022/08/04 21:09:53 - mmengine - INFO - Epoch(train) [21][840/940] lr: 1.0000e-02 eta: 13:19:16 time: 0.6207 data_time: 0.0371 memory: 24011 grad_norm: 4.1451 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1530 loss: 1.1530 2022/08/04 21:10:06 - mmengine - INFO - Epoch(train) [21][860/940] lr: 1.0000e-02 eta: 13:19:03 time: 0.6433 data_time: 0.0632 memory: 24011 grad_norm: 4.1991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2180 loss: 1.2180 2022/08/04 21:10:18 - mmengine - INFO - Epoch(train) [21][880/940] lr: 1.0000e-02 eta: 13:18:46 time: 0.5903 data_time: 0.0349 memory: 24011 grad_norm: 4.1244 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0738 loss: 1.0738 2022/08/04 21:10:30 - mmengine - INFO - Epoch(train) [21][900/940] lr: 1.0000e-02 eta: 13:18:29 time: 0.6013 data_time: 0.0365 memory: 24011 grad_norm: 4.3638 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1645 loss: 1.1645 2022/08/04 21:10:43 - mmengine - INFO - Epoch(train) [21][920/940] lr: 1.0000e-02 eta: 13:18:17 time: 0.6518 data_time: 0.0397 memory: 24011 grad_norm: 4.4801 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2569 loss: 1.2569 2022/08/04 21:10:54 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:10:54 - mmengine - INFO - Epoch(train) [21][940/940] lr: 1.0000e-02 eta: 13:17:57 time: 0.5514 data_time: 0.0244 memory: 24011 grad_norm: 4.3938 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2348 loss: 1.2348 2022/08/04 21:10:54 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/04 21:11:13 - mmengine - INFO - Epoch(val) [21][20/78] eta: 0:00:41 time: 0.7084 data_time: 0.5521 memory: 3625 2022/08/04 21:11:22 - mmengine - INFO - Epoch(val) [21][40/78] eta: 0:00:17 time: 0.4501 data_time: 0.2981 memory: 3625 2022/08/04 21:11:34 - mmengine - INFO - Epoch(val) [21][60/78] eta: 0:00:10 time: 0.6071 data_time: 0.4545 memory: 3625 2022/08/04 21:11:44 - mmengine - INFO - Epoch(val) [21][78/78] acc/top1: 0.7209 acc/top5: 0.9027 acc/mean1: 0.7206 2022/08/04 21:12:02 - mmengine - INFO - Epoch(train) [22][20/940] lr: 1.0000e-02 eta: 13:18:03 time: 0.8949 data_time: 0.2235 memory: 24011 grad_norm: 4.1963 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2720 loss: 1.2720 2022/08/04 21:12:14 - mmengine - INFO - Epoch(train) [22][40/940] lr: 1.0000e-02 eta: 13:17:47 time: 0.6081 data_time: 0.0364 memory: 24011 grad_norm: 4.0534 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9957 loss: 0.9957 2022/08/04 21:12:27 - mmengine - INFO - Epoch(train) [22][60/940] lr: 1.0000e-02 eta: 13:17:35 time: 0.6470 data_time: 0.0365 memory: 24011 grad_norm: 4.5497 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1899 loss: 1.1899 2022/08/04 21:12:39 - mmengine - INFO - Epoch(train) [22][80/940] lr: 1.0000e-02 eta: 13:17:17 time: 0.5800 data_time: 0.0401 memory: 24011 grad_norm: 4.1760 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.1880 loss: 1.1880 2022/08/04 21:12:52 - mmengine - INFO - Epoch(train) [22][100/940] lr: 1.0000e-02 eta: 13:17:05 time: 0.6542 data_time: 0.0334 memory: 24011 grad_norm: 4.1613 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0729 loss: 1.0729 2022/08/04 21:13:04 - mmengine - INFO - Epoch(train) [22][120/940] lr: 1.0000e-02 eta: 13:16:50 time: 0.6172 data_time: 0.0325 memory: 24011 grad_norm: 4.0849 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2464 loss: 1.2464 2022/08/04 21:13:17 - mmengine - INFO - Epoch(train) [22][140/940] lr: 1.0000e-02 eta: 13:16:37 time: 0.6470 data_time: 0.0367 memory: 24011 grad_norm: 4.1035 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2011 loss: 1.2011 2022/08/04 21:13:29 - mmengine - INFO - Epoch(train) [22][160/940] lr: 1.0000e-02 eta: 13:16:22 time: 0.6182 data_time: 0.0324 memory: 24011 grad_norm: 4.3604 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1667 loss: 1.1667 2022/08/04 21:13:42 - mmengine - INFO - Epoch(train) [22][180/940] lr: 1.0000e-02 eta: 13:16:07 time: 0.6207 data_time: 0.0364 memory: 24011 grad_norm: 3.9997 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0822 loss: 1.0822 2022/08/04 21:13:55 - mmengine - INFO - Epoch(train) [22][200/940] lr: 1.0000e-02 eta: 13:15:55 time: 0.6447 data_time: 0.0301 memory: 24011 grad_norm: 4.0597 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0514 loss: 1.0514 2022/08/04 21:14:07 - mmengine - INFO - Epoch(train) [22][220/940] lr: 1.0000e-02 eta: 13:15:40 time: 0.6242 data_time: 0.0337 memory: 24011 grad_norm: 4.0158 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0339 loss: 1.0339 2022/08/04 21:14:20 - mmengine - INFO - Epoch(train) [22][240/940] lr: 1.0000e-02 eta: 13:15:25 time: 0.6159 data_time: 0.0319 memory: 24011 grad_norm: 4.2264 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1931 loss: 1.1931 2022/08/04 21:14:32 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:14:32 - mmengine - INFO - Epoch(train) [22][260/940] lr: 1.0000e-02 eta: 13:15:11 time: 0.6349 data_time: 0.0368 memory: 24011 grad_norm: 4.1289 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1844 loss: 1.1844 2022/08/04 21:14:44 - mmengine - INFO - Epoch(train) [22][280/940] lr: 1.0000e-02 eta: 13:14:56 time: 0.6076 data_time: 0.0440 memory: 24011 grad_norm: 4.5007 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0281 loss: 1.0281 2022/08/04 21:14:58 - mmengine - INFO - Epoch(train) [22][300/940] lr: 1.0000e-02 eta: 13:14:43 time: 0.6520 data_time: 0.0336 memory: 24011 grad_norm: 4.1936 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2403 loss: 1.2403 2022/08/04 21:15:10 - mmengine - INFO - Epoch(train) [22][320/940] lr: 1.0000e-02 eta: 13:14:30 time: 0.6383 data_time: 0.0374 memory: 24011 grad_norm: 4.3621 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2622 loss: 1.2622 2022/08/04 21:15:23 - mmengine - INFO - Epoch(train) [22][340/940] lr: 1.0000e-02 eta: 13:14:15 time: 0.6218 data_time: 0.0358 memory: 24011 grad_norm: 4.5051 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1073 loss: 1.1073 2022/08/04 21:15:35 - mmengine - INFO - Epoch(train) [22][360/940] lr: 1.0000e-02 eta: 13:13:59 time: 0.5894 data_time: 0.0325 memory: 24011 grad_norm: 4.1551 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2732 loss: 1.2732 2022/08/04 21:15:48 - mmengine - INFO - Epoch(train) [22][380/940] lr: 1.0000e-02 eta: 13:13:49 time: 0.6877 data_time: 0.0314 memory: 24011 grad_norm: 4.1438 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1548 loss: 1.1548 2022/08/04 21:16:00 - mmengine - INFO - Epoch(train) [22][400/940] lr: 1.0000e-02 eta: 13:13:33 time: 0.5984 data_time: 0.0373 memory: 24011 grad_norm: 4.0914 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0799 loss: 1.0799 2022/08/04 21:16:13 - mmengine - INFO - Epoch(train) [22][420/940] lr: 1.0000e-02 eta: 13:13:19 time: 0.6369 data_time: 0.0331 memory: 24011 grad_norm: 4.1479 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0911 loss: 1.0911 2022/08/04 21:16:26 - mmengine - INFO - Epoch(train) [22][440/940] lr: 1.0000e-02 eta: 13:13:07 time: 0.6500 data_time: 0.0336 memory: 24011 grad_norm: 4.2435 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1544 loss: 1.1544 2022/08/04 21:16:38 - mmengine - INFO - Epoch(train) [22][460/940] lr: 1.0000e-02 eta: 13:12:51 time: 0.6100 data_time: 0.0359 memory: 24011 grad_norm: 4.0267 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1651 loss: 1.1651 2022/08/04 21:16:51 - mmengine - INFO - Epoch(train) [22][480/940] lr: 1.0000e-02 eta: 13:12:37 time: 0.6251 data_time: 0.0586 memory: 24011 grad_norm: 4.5555 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1913 loss: 1.1913 2022/08/04 21:17:04 - mmengine - INFO - Epoch(train) [22][500/940] lr: 1.0000e-02 eta: 13:12:24 time: 0.6486 data_time: 0.0316 memory: 24011 grad_norm: 4.3701 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.1807 loss: 1.1807 2022/08/04 21:17:15 - mmengine - INFO - Epoch(train) [22][520/940] lr: 1.0000e-02 eta: 13:12:07 time: 0.5911 data_time: 0.0303 memory: 24011 grad_norm: 4.1079 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.1172 loss: 1.1172 2022/08/04 21:17:28 - mmengine - INFO - Epoch(train) [22][540/940] lr: 1.0000e-02 eta: 13:11:55 time: 0.6453 data_time: 0.0334 memory: 24011 grad_norm: 4.2372 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0878 loss: 1.0878 2022/08/04 21:17:40 - mmengine - INFO - Epoch(train) [22][560/940] lr: 1.0000e-02 eta: 13:11:37 time: 0.5829 data_time: 0.0372 memory: 24011 grad_norm: 4.2370 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2208 loss: 1.2208 2022/08/04 21:17:52 - mmengine - INFO - Epoch(train) [22][580/940] lr: 1.0000e-02 eta: 13:11:23 time: 0.6212 data_time: 0.0342 memory: 24011 grad_norm: 4.4902 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.2229 loss: 1.2229 2022/08/04 21:18:06 - mmengine - INFO - Epoch(train) [22][600/940] lr: 1.0000e-02 eta: 13:11:12 time: 0.6722 data_time: 0.0376 memory: 24011 grad_norm: 4.6136 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.0043 loss: 1.0043 2022/08/04 21:18:18 - mmengine - INFO - Epoch(train) [22][620/940] lr: 1.0000e-02 eta: 13:10:57 time: 0.6153 data_time: 0.0323 memory: 24011 grad_norm: 4.8036 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0674 loss: 1.0674 2022/08/04 21:18:31 - mmengine - INFO - Epoch(train) [22][640/940] lr: 1.0000e-02 eta: 13:10:42 time: 0.6226 data_time: 0.0382 memory: 24011 grad_norm: 4.2013 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0988 loss: 1.0988 2022/08/04 21:18:44 - mmengine - INFO - Epoch(train) [22][660/940] lr: 1.0000e-02 eta: 13:10:29 time: 0.6410 data_time: 0.0356 memory: 24011 grad_norm: 4.3938 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2155 loss: 1.2155 2022/08/04 21:18:55 - mmengine - INFO - Epoch(train) [22][680/940] lr: 1.0000e-02 eta: 13:10:13 time: 0.5975 data_time: 0.0379 memory: 24011 grad_norm: 4.5202 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1281 loss: 1.1281 2022/08/04 21:19:08 - mmengine - INFO - Epoch(train) [22][700/940] lr: 1.0000e-02 eta: 13:09:58 time: 0.6198 data_time: 0.0336 memory: 24011 grad_norm: 5.0119 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0615 loss: 1.0615 2022/08/04 21:19:21 - mmengine - INFO - Epoch(train) [22][720/940] lr: 1.0000e-02 eta: 13:09:45 time: 0.6382 data_time: 0.0333 memory: 24011 grad_norm: 4.9557 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1682 loss: 1.1682 2022/08/04 21:19:33 - mmengine - INFO - Epoch(train) [22][740/940] lr: 1.0000e-02 eta: 13:09:31 time: 0.6313 data_time: 0.0387 memory: 24011 grad_norm: 4.4351 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1437 loss: 1.1437 2022/08/04 21:19:46 - mmengine - INFO - Epoch(train) [22][760/940] lr: 1.0000e-02 eta: 13:09:18 time: 0.6350 data_time: 0.0370 memory: 24011 grad_norm: 4.6220 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.2030 loss: 1.2030 2022/08/04 21:19:59 - mmengine - INFO - Epoch(train) [22][780/940] lr: 1.0000e-02 eta: 13:09:05 time: 0.6533 data_time: 0.0379 memory: 24011 grad_norm: 4.5885 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.3057 loss: 1.3057 2022/08/04 21:20:11 - mmengine - INFO - Epoch(train) [22][800/940] lr: 1.0000e-02 eta: 13:08:49 time: 0.6020 data_time: 0.0442 memory: 24011 grad_norm: 4.3226 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2492 loss: 1.2492 2022/08/04 21:20:25 - mmengine - INFO - Epoch(train) [22][820/940] lr: 1.0000e-02 eta: 13:08:39 time: 0.6773 data_time: 0.0294 memory: 24011 grad_norm: 4.4405 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1566 loss: 1.1566 2022/08/04 21:20:36 - mmengine - INFO - Epoch(train) [22][840/940] lr: 1.0000e-02 eta: 13:08:21 time: 0.5803 data_time: 0.0326 memory: 24011 grad_norm: 5.3542 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1920 loss: 1.1920 2022/08/04 21:20:49 - mmengine - INFO - Epoch(train) [22][860/940] lr: 1.0000e-02 eta: 13:08:08 time: 0.6431 data_time: 0.0400 memory: 24011 grad_norm: 4.5444 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.2864 loss: 1.2864 2022/08/04 21:21:01 - mmengine - INFO - Epoch(train) [22][880/940] lr: 1.0000e-02 eta: 13:07:51 time: 0.5817 data_time: 0.0408 memory: 24011 grad_norm: 4.1902 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2132 loss: 1.2132 2022/08/04 21:21:13 - mmengine - INFO - Epoch(train) [22][900/940] lr: 1.0000e-02 eta: 13:07:36 time: 0.6107 data_time: 0.0396 memory: 24011 grad_norm: 4.1897 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/08/04 21:21:26 - mmengine - INFO - Epoch(train) [22][920/940] lr: 1.0000e-02 eta: 13:07:25 time: 0.6768 data_time: 0.0355 memory: 24011 grad_norm: 4.3814 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1734 loss: 1.1734 2022/08/04 21:21:37 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:21:37 - mmengine - INFO - Epoch(train) [22][940/940] lr: 1.0000e-02 eta: 13:07:04 time: 0.5260 data_time: 0.0241 memory: 24011 grad_norm: 4.3834 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.1122 loss: 1.1122 2022/08/04 21:21:50 - mmengine - INFO - Epoch(val) [22][20/78] eta: 0:00:38 time: 0.6565 data_time: 0.5027 memory: 3625 2022/08/04 21:21:59 - mmengine - INFO - Epoch(val) [22][40/78] eta: 0:00:16 time: 0.4408 data_time: 0.2807 memory: 3625 2022/08/04 21:22:11 - mmengine - INFO - Epoch(val) [22][60/78] eta: 0:00:11 time: 0.6231 data_time: 0.4677 memory: 3625 2022/08/04 21:22:22 - mmengine - INFO - Epoch(val) [22][78/78] acc/top1: 0.7225 acc/top5: 0.9057 acc/mean1: 0.7225 2022/08/04 21:22:22 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/04 21:22:25 - mmengine - INFO - The best checkpoint with 0.7225 acc/top1 at 23 epoch is saved to best_acc/top1_epoch_23.pth. 2022/08/04 21:22:42 - mmengine - INFO - Epoch(train) [23][20/940] lr: 1.0000e-02 eta: 13:07:03 time: 0.8193 data_time: 0.2862 memory: 24011 grad_norm: 4.6537 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0867 loss: 1.0867 2022/08/04 21:22:54 - mmengine - INFO - Epoch(train) [23][40/940] lr: 1.0000e-02 eta: 13:06:49 time: 0.6212 data_time: 0.0813 memory: 24011 grad_norm: 5.3808 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2477 loss: 1.2477 2022/08/04 21:23:07 - mmengine - INFO - Epoch(train) [23][60/940] lr: 1.0000e-02 eta: 13:06:36 time: 0.6371 data_time: 0.0872 memory: 24011 grad_norm: 4.6506 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2414 loss: 1.2414 2022/08/04 21:23:19 - mmengine - INFO - Epoch(train) [23][80/940] lr: 1.0000e-02 eta: 13:06:21 time: 0.6244 data_time: 0.0821 memory: 24011 grad_norm: 4.3192 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1671 loss: 1.1671 2022/08/04 21:23:31 - mmengine - INFO - Epoch(train) [23][100/940] lr: 1.0000e-02 eta: 13:06:05 time: 0.5998 data_time: 0.0502 memory: 24011 grad_norm: 4.2579 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0540 loss: 1.0540 2022/08/04 21:23:44 - mmengine - INFO - Epoch(train) [23][120/940] lr: 1.0000e-02 eta: 13:05:51 time: 0.6270 data_time: 0.0517 memory: 24011 grad_norm: 4.2180 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0857 loss: 1.0857 2022/08/04 21:23:56 - mmengine - INFO - Epoch(train) [23][140/940] lr: 1.0000e-02 eta: 13:05:36 time: 0.6150 data_time: 0.0460 memory: 24011 grad_norm: 4.3687 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1499 loss: 1.1499 2022/08/04 21:24:09 - mmengine - INFO - Epoch(train) [23][160/940] lr: 1.0000e-02 eta: 13:05:22 time: 0.6230 data_time: 0.0290 memory: 24011 grad_norm: 4.4606 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0711 loss: 1.0711 2022/08/04 21:24:21 - mmengine - INFO - Epoch(train) [23][180/940] lr: 1.0000e-02 eta: 13:05:08 time: 0.6364 data_time: 0.0400 memory: 24011 grad_norm: 4.5594 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1614 loss: 1.1614 2022/08/04 21:24:33 - mmengine - INFO - Epoch(train) [23][200/940] lr: 1.0000e-02 eta: 13:04:52 time: 0.5982 data_time: 0.0284 memory: 24011 grad_norm: 4.1717 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0884 loss: 1.0884 2022/08/04 21:24:47 - mmengine - INFO - Epoch(train) [23][220/940] lr: 1.0000e-02 eta: 13:04:41 time: 0.6681 data_time: 0.0349 memory: 24011 grad_norm: 4.2602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0640 loss: 1.0640 2022/08/04 21:25:00 - mmengine - INFO - Epoch(train) [23][240/940] lr: 1.0000e-02 eta: 13:04:29 time: 0.6608 data_time: 0.0262 memory: 24011 grad_norm: 4.4273 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0846 loss: 1.0846 2022/08/04 21:25:13 - mmengine - INFO - Epoch(train) [23][260/940] lr: 1.0000e-02 eta: 13:04:17 time: 0.6557 data_time: 0.0349 memory: 24011 grad_norm: 4.3095 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1297 loss: 1.1297 2022/08/04 21:25:25 - mmengine - INFO - Epoch(train) [23][280/940] lr: 1.0000e-02 eta: 13:04:02 time: 0.6073 data_time: 0.0275 memory: 24011 grad_norm: 4.9251 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1119 loss: 1.1119 2022/08/04 21:25:37 - mmengine - INFO - Epoch(train) [23][300/940] lr: 1.0000e-02 eta: 13:03:46 time: 0.5976 data_time: 0.0373 memory: 24011 grad_norm: 4.7116 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1754 loss: 1.1754 2022/08/04 21:25:49 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:25:49 - mmengine - INFO - Epoch(train) [23][320/940] lr: 1.0000e-02 eta: 13:03:29 time: 0.5919 data_time: 0.0271 memory: 24011 grad_norm: 4.3298 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1629 loss: 1.1629 2022/08/04 21:26:01 - mmengine - INFO - Epoch(train) [23][340/940] lr: 1.0000e-02 eta: 13:03:15 time: 0.6169 data_time: 0.0382 memory: 24011 grad_norm: 4.2170 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0664 loss: 1.0664 2022/08/04 21:26:15 - mmengine - INFO - Epoch(train) [23][360/940] lr: 1.0000e-02 eta: 13:03:04 time: 0.6789 data_time: 0.0291 memory: 24011 grad_norm: 4.6244 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1681 loss: 1.1681 2022/08/04 21:26:27 - mmengine - INFO - Epoch(train) [23][380/940] lr: 1.0000e-02 eta: 13:02:48 time: 0.6037 data_time: 0.0381 memory: 24011 grad_norm: 4.5578 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0829 loss: 1.0829 2022/08/04 21:26:39 - mmengine - INFO - Epoch(train) [23][400/940] lr: 1.0000e-02 eta: 13:02:33 time: 0.6086 data_time: 0.0329 memory: 24011 grad_norm: 4.4663 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1388 loss: 1.1388 2022/08/04 21:26:52 - mmengine - INFO - Epoch(train) [23][420/940] lr: 1.0000e-02 eta: 13:02:19 time: 0.6264 data_time: 0.0338 memory: 24011 grad_norm: 4.2547 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2040 loss: 1.2040 2022/08/04 21:27:05 - mmengine - INFO - Epoch(train) [23][440/940] lr: 1.0000e-02 eta: 13:02:06 time: 0.6469 data_time: 0.0367 memory: 24011 grad_norm: 4.4251 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1871 loss: 1.1871 2022/08/04 21:27:18 - mmengine - INFO - Epoch(train) [23][460/940] lr: 1.0000e-02 eta: 13:01:54 time: 0.6458 data_time: 0.0368 memory: 24011 grad_norm: 4.2055 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1654 loss: 1.1654 2022/08/04 21:27:30 - mmengine - INFO - Epoch(train) [23][480/940] lr: 1.0000e-02 eta: 13:01:40 time: 0.6396 data_time: 0.0322 memory: 24011 grad_norm: 4.2811 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.0780 loss: 1.0780 2022/08/04 21:27:43 - mmengine - INFO - Epoch(train) [23][500/940] lr: 1.0000e-02 eta: 13:01:27 time: 0.6284 data_time: 0.0520 memory: 24011 grad_norm: 4.0555 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.0490 loss: 1.0490 2022/08/04 21:27:55 - mmengine - INFO - Epoch(train) [23][520/940] lr: 1.0000e-02 eta: 13:01:12 time: 0.6156 data_time: 0.0350 memory: 24011 grad_norm: 4.2651 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1442 loss: 1.1442 2022/08/04 21:28:07 - mmengine - INFO - Epoch(train) [23][540/940] lr: 1.0000e-02 eta: 13:00:56 time: 0.6014 data_time: 0.0368 memory: 24011 grad_norm: 4.1561 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1905 loss: 1.1905 2022/08/04 21:28:20 - mmengine - INFO - Epoch(train) [23][560/940] lr: 1.0000e-02 eta: 13:00:41 time: 0.6150 data_time: 0.0363 memory: 24011 grad_norm: 4.7182 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0303 loss: 1.0303 2022/08/04 21:28:32 - mmengine - INFO - Epoch(train) [23][580/940] lr: 1.0000e-02 eta: 13:00:26 time: 0.6110 data_time: 0.0377 memory: 24011 grad_norm: 5.0885 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2208 loss: 1.2208 2022/08/04 21:28:44 - mmengine - INFO - Epoch(train) [23][600/940] lr: 1.0000e-02 eta: 13:00:11 time: 0.6160 data_time: 0.0375 memory: 24011 grad_norm: 4.2997 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0735 loss: 1.0735 2022/08/04 21:28:57 - mmengine - INFO - Epoch(train) [23][620/940] lr: 1.0000e-02 eta: 12:59:59 time: 0.6518 data_time: 0.0386 memory: 24011 grad_norm: 4.2628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2632 loss: 1.2632 2022/08/04 21:29:09 - mmengine - INFO - Epoch(train) [23][640/940] lr: 1.0000e-02 eta: 12:59:43 time: 0.6032 data_time: 0.0403 memory: 24011 grad_norm: 4.0870 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1782 loss: 1.1782 2022/08/04 21:29:21 - mmengine - INFO - Epoch(train) [23][660/940] lr: 1.0000e-02 eta: 12:59:28 time: 0.6138 data_time: 0.0339 memory: 24011 grad_norm: 4.0778 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2028 loss: 1.2028 2022/08/04 21:29:34 - mmengine - INFO - Epoch(train) [23][680/940] lr: 1.0000e-02 eta: 12:59:13 time: 0.6082 data_time: 0.0382 memory: 24011 grad_norm: 4.6610 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2000 loss: 1.2000 2022/08/04 21:29:47 - mmengine - INFO - Epoch(train) [23][700/940] lr: 1.0000e-02 eta: 12:59:02 time: 0.6745 data_time: 0.0343 memory: 24011 grad_norm: 4.3426 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2535 loss: 1.2535 2022/08/04 21:29:59 - mmengine - INFO - Epoch(train) [23][720/940] lr: 1.0000e-02 eta: 12:58:48 time: 0.6167 data_time: 0.0362 memory: 24011 grad_norm: 4.2776 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0144 loss: 1.0144 2022/08/04 21:30:14 - mmengine - INFO - Epoch(train) [23][740/940] lr: 1.0000e-02 eta: 12:58:41 time: 0.7436 data_time: 0.0368 memory: 24011 grad_norm: 4.7713 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.2427 loss: 1.2427 2022/08/04 21:30:26 - mmengine - INFO - Epoch(train) [23][760/940] lr: 1.0000e-02 eta: 12:58:24 time: 0.5807 data_time: 0.0336 memory: 24011 grad_norm: 4.2978 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0673 loss: 1.0673 2022/08/04 21:30:39 - mmengine - INFO - Epoch(train) [23][780/940] lr: 1.0000e-02 eta: 12:58:13 time: 0.6698 data_time: 0.0371 memory: 24011 grad_norm: 4.5318 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2789 loss: 1.2789 2022/08/04 21:30:52 - mmengine - INFO - Epoch(train) [23][800/940] lr: 1.0000e-02 eta: 12:57:59 time: 0.6208 data_time: 0.0371 memory: 24011 grad_norm: 4.9105 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1198 loss: 1.1198 2022/08/04 21:31:04 - mmengine - INFO - Epoch(train) [23][820/940] lr: 1.0000e-02 eta: 12:57:45 time: 0.6329 data_time: 0.0340 memory: 24011 grad_norm: 4.5645 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3303 loss: 1.3303 2022/08/04 21:31:16 - mmengine - INFO - Epoch(train) [23][840/940] lr: 1.0000e-02 eta: 12:57:29 time: 0.6002 data_time: 0.0391 memory: 24011 grad_norm: 4.3318 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1902 loss: 1.1902 2022/08/04 21:31:29 - mmengine - INFO - Epoch(train) [23][860/940] lr: 1.0000e-02 eta: 12:57:14 time: 0.6118 data_time: 0.0329 memory: 24011 grad_norm: 4.8279 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2471 loss: 1.2471 2022/08/04 21:31:41 - mmengine - INFO - Epoch(train) [23][880/940] lr: 1.0000e-02 eta: 12:56:58 time: 0.5949 data_time: 0.0390 memory: 24011 grad_norm: 4.4920 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2056 loss: 1.2056 2022/08/04 21:31:54 - mmengine - INFO - Epoch(train) [23][900/940] lr: 1.0000e-02 eta: 12:56:47 time: 0.6727 data_time: 0.0394 memory: 24011 grad_norm: 4.2776 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2821 loss: 1.2821 2022/08/04 21:32:07 - mmengine - INFO - Epoch(train) [23][920/940] lr: 1.0000e-02 eta: 12:56:34 time: 0.6362 data_time: 0.0347 memory: 24011 grad_norm: 4.5003 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1435 loss: 1.1435 2022/08/04 21:32:18 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:32:18 - mmengine - INFO - Epoch(train) [23][940/940] lr: 1.0000e-02 eta: 12:56:16 time: 0.5708 data_time: 0.0298 memory: 24011 grad_norm: 5.1701 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.1122 loss: 1.1122 2022/08/04 21:32:32 - mmengine - INFO - Epoch(val) [23][20/78] eta: 0:00:39 time: 0.6773 data_time: 0.5166 memory: 3625 2022/08/04 21:32:41 - mmengine - INFO - Epoch(val) [23][40/78] eta: 0:00:16 time: 0.4408 data_time: 0.2844 memory: 3625 2022/08/04 21:32:54 - mmengine - INFO - Epoch(val) [23][60/78] eta: 0:00:11 time: 0.6489 data_time: 0.4693 memory: 3625 2022/08/04 21:33:03 - mmengine - INFO - Epoch(val) [23][78/78] acc/top1: 0.7163 acc/top5: 0.9013 acc/mean1: 0.7162 2022/08/04 21:33:21 - mmengine - INFO - Epoch(train) [24][20/940] lr: 1.0000e-02 eta: 12:56:18 time: 0.8665 data_time: 0.2499 memory: 24011 grad_norm: 4.3882 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1334 loss: 1.1334 2022/08/04 21:33:33 - mmengine - INFO - Epoch(train) [24][40/940] lr: 1.0000e-02 eta: 12:56:04 time: 0.6295 data_time: 0.0324 memory: 24011 grad_norm: 4.3645 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/08/04 21:33:47 - mmengine - INFO - Epoch(train) [24][60/940] lr: 1.0000e-02 eta: 12:55:53 time: 0.6686 data_time: 0.0385 memory: 24011 grad_norm: 4.4173 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1053 loss: 1.1053 2022/08/04 21:33:59 - mmengine - INFO - Epoch(train) [24][80/940] lr: 1.0000e-02 eta: 12:55:40 time: 0.6319 data_time: 0.0330 memory: 24011 grad_norm: 4.5661 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0559 loss: 1.0559 2022/08/04 21:34:12 - mmengine - INFO - Epoch(train) [24][100/940] lr: 1.0000e-02 eta: 12:55:28 time: 0.6597 data_time: 0.0368 memory: 24011 grad_norm: 4.2716 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1363 loss: 1.1363 2022/08/04 21:34:25 - mmengine - INFO - Epoch(train) [24][120/940] lr: 1.0000e-02 eta: 12:55:12 time: 0.6077 data_time: 0.0304 memory: 24011 grad_norm: 4.6942 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0530 loss: 1.0530 2022/08/04 21:34:37 - mmengine - INFO - Epoch(train) [24][140/940] lr: 1.0000e-02 eta: 12:54:58 time: 0.6174 data_time: 0.0437 memory: 24011 grad_norm: 4.5543 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1425 loss: 1.1425 2022/08/04 21:34:49 - mmengine - INFO - Epoch(train) [24][160/940] lr: 1.0000e-02 eta: 12:54:44 time: 0.6222 data_time: 0.0274 memory: 24011 grad_norm: 4.4996 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2407 loss: 1.2407 2022/08/04 21:35:01 - mmengine - INFO - Epoch(train) [24][180/940] lr: 1.0000e-02 eta: 12:54:28 time: 0.5971 data_time: 0.0416 memory: 24011 grad_norm: 4.6303 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1989 loss: 1.1989 2022/08/04 21:35:14 - mmengine - INFO - Epoch(train) [24][200/940] lr: 1.0000e-02 eta: 12:54:13 time: 0.6251 data_time: 0.0309 memory: 24011 grad_norm: 4.5300 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1486 loss: 1.1486 2022/08/04 21:35:26 - mmengine - INFO - Epoch(train) [24][220/940] lr: 1.0000e-02 eta: 12:53:59 time: 0.6134 data_time: 0.0366 memory: 24011 grad_norm: 4.6017 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.2459 loss: 1.2459 2022/08/04 21:35:38 - mmengine - INFO - Epoch(train) [24][240/940] lr: 1.0000e-02 eta: 12:53:42 time: 0.5900 data_time: 0.0304 memory: 24011 grad_norm: 4.8809 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1831 loss: 1.1831 2022/08/04 21:35:51 - mmengine - INFO - Epoch(train) [24][260/940] lr: 1.0000e-02 eta: 12:53:29 time: 0.6313 data_time: 0.0353 memory: 24011 grad_norm: 4.9829 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1099 loss: 1.1099 2022/08/04 21:36:03 - mmengine - INFO - Epoch(train) [24][280/940] lr: 1.0000e-02 eta: 12:53:16 time: 0.6466 data_time: 0.0961 memory: 24011 grad_norm: 4.8483 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0003 loss: 1.0003 2022/08/04 21:36:16 - mmengine - INFO - Epoch(train) [24][300/940] lr: 1.0000e-02 eta: 12:53:03 time: 0.6376 data_time: 0.0849 memory: 24011 grad_norm: 4.8365 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1335 loss: 1.1335 2022/08/04 21:36:29 - mmengine - INFO - Epoch(train) [24][320/940] lr: 1.0000e-02 eta: 12:52:49 time: 0.6304 data_time: 0.0584 memory: 24011 grad_norm: 4.4708 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1545 loss: 1.1545 2022/08/04 21:36:41 - mmengine - INFO - Epoch(train) [24][340/940] lr: 1.0000e-02 eta: 12:52:35 time: 0.6304 data_time: 0.0812 memory: 24011 grad_norm: 4.6265 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 1.1257 loss: 1.1257 2022/08/04 21:36:54 - mmengine - INFO - Epoch(train) [24][360/940] lr: 1.0000e-02 eta: 12:52:21 time: 0.6237 data_time: 0.0670 memory: 24011 grad_norm: 4.3813 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1534 loss: 1.1534 2022/08/04 21:37:06 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:37:06 - mmengine - INFO - Epoch(train) [24][380/940] lr: 1.0000e-02 eta: 12:52:05 time: 0.5959 data_time: 0.0346 memory: 24011 grad_norm: 4.6040 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0879 loss: 1.0879 2022/08/04 21:37:19 - mmengine - INFO - Epoch(train) [24][400/940] lr: 1.0000e-02 eta: 12:51:53 time: 0.6516 data_time: 0.0330 memory: 24011 grad_norm: 4.4626 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1796 loss: 1.1796 2022/08/04 21:37:31 - mmengine - INFO - Epoch(train) [24][420/940] lr: 1.0000e-02 eta: 12:51:36 time: 0.5841 data_time: 0.0334 memory: 24011 grad_norm: 4.5355 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1418 loss: 1.1418 2022/08/04 21:37:44 - mmengine - INFO - Epoch(train) [24][440/940] lr: 1.0000e-02 eta: 12:51:24 time: 0.6541 data_time: 0.0883 memory: 24011 grad_norm: 4.7647 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1240 loss: 1.1240 2022/08/04 21:37:57 - mmengine - INFO - Epoch(train) [24][460/940] lr: 1.0000e-02 eta: 12:51:12 time: 0.6533 data_time: 0.0999 memory: 24011 grad_norm: 4.3794 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0811 loss: 1.0811 2022/08/04 21:38:08 - mmengine - INFO - Epoch(train) [24][480/940] lr: 1.0000e-02 eta: 12:50:54 time: 0.5771 data_time: 0.0274 memory: 24011 grad_norm: 4.4587 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1764 loss: 1.1764 2022/08/04 21:38:20 - mmengine - INFO - Epoch(train) [24][500/940] lr: 1.0000e-02 eta: 12:50:39 time: 0.6103 data_time: 0.0645 memory: 24011 grad_norm: 4.2675 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2165 loss: 1.2165 2022/08/04 21:38:33 - mmengine - INFO - Epoch(train) [24][520/940] lr: 1.0000e-02 eta: 12:50:26 time: 0.6394 data_time: 0.0431 memory: 24011 grad_norm: 3.9532 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1815 loss: 1.1815 2022/08/04 21:38:46 - mmengine - INFO - Epoch(train) [24][540/940] lr: 1.0000e-02 eta: 12:50:14 time: 0.6503 data_time: 0.0333 memory: 24011 grad_norm: 4.0412 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0247 loss: 1.0247 2022/08/04 21:38:58 - mmengine - INFO - Epoch(train) [24][560/940] lr: 1.0000e-02 eta: 12:49:58 time: 0.5915 data_time: 0.0360 memory: 24011 grad_norm: 4.6935 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0672 loss: 1.0672 2022/08/04 21:39:10 - mmengine - INFO - Epoch(train) [24][580/940] lr: 1.0000e-02 eta: 12:49:42 time: 0.6066 data_time: 0.0397 memory: 24011 grad_norm: 4.3484 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0965 loss: 1.0965 2022/08/04 21:39:24 - mmengine - INFO - Epoch(train) [24][600/940] lr: 1.0000e-02 eta: 12:49:31 time: 0.6699 data_time: 0.0496 memory: 24011 grad_norm: 4.2881 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2496 loss: 1.2496 2022/08/04 21:39:36 - mmengine - INFO - Epoch(train) [24][620/940] lr: 1.0000e-02 eta: 12:49:18 time: 0.6334 data_time: 0.0457 memory: 24011 grad_norm: 4.9988 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1094 loss: 1.1094 2022/08/04 21:39:49 - mmengine - INFO - Epoch(train) [24][640/940] lr: 1.0000e-02 eta: 12:49:03 time: 0.6200 data_time: 0.0350 memory: 24011 grad_norm: 4.3933 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.1072 loss: 1.1072 2022/08/04 21:40:01 - mmengine - INFO - Epoch(train) [24][660/940] lr: 1.0000e-02 eta: 12:48:50 time: 0.6288 data_time: 0.0313 memory: 24011 grad_norm: 4.5105 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2561 loss: 1.2561 2022/08/04 21:40:13 - mmengine - INFO - Epoch(train) [24][680/940] lr: 1.0000e-02 eta: 12:48:34 time: 0.6029 data_time: 0.0332 memory: 24011 grad_norm: 4.4034 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1340 loss: 1.1340 2022/08/04 21:40:26 - mmengine - INFO - Epoch(train) [24][700/940] lr: 1.0000e-02 eta: 12:48:21 time: 0.6356 data_time: 0.0382 memory: 24011 grad_norm: 4.2063 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1536 loss: 1.1536 2022/08/04 21:40:38 - mmengine - INFO - Epoch(train) [24][720/940] lr: 1.0000e-02 eta: 12:48:06 time: 0.6137 data_time: 0.0323 memory: 24011 grad_norm: 4.5080 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0401 loss: 1.0401 2022/08/04 21:40:50 - mmengine - INFO - Epoch(train) [24][740/940] lr: 1.0000e-02 eta: 12:47:51 time: 0.6085 data_time: 0.0370 memory: 24011 grad_norm: 4.1614 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0968 loss: 1.0968 2022/08/04 21:41:03 - mmengine - INFO - Epoch(train) [24][760/940] lr: 1.0000e-02 eta: 12:47:36 time: 0.6132 data_time: 0.0360 memory: 24011 grad_norm: 4.4048 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1224 loss: 1.1224 2022/08/04 21:41:15 - mmengine - INFO - Epoch(train) [24][780/940] lr: 1.0000e-02 eta: 12:47:22 time: 0.6228 data_time: 0.0368 memory: 24011 grad_norm: 4.9341 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1955 loss: 1.1955 2022/08/04 21:41:28 - mmengine - INFO - Epoch(train) [24][800/940] lr: 1.0000e-02 eta: 12:47:08 time: 0.6280 data_time: 0.0322 memory: 24011 grad_norm: 4.5061 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0762 loss: 1.0762 2022/08/04 21:41:41 - mmengine - INFO - Epoch(train) [24][820/940] lr: 1.0000e-02 eta: 12:46:57 time: 0.6680 data_time: 0.0349 memory: 24011 grad_norm: 4.6154 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.1151 loss: 1.1151 2022/08/04 21:41:53 - mmengine - INFO - Epoch(train) [24][840/940] lr: 1.0000e-02 eta: 12:46:42 time: 0.6040 data_time: 0.0322 memory: 24011 grad_norm: 4.4618 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1627 loss: 1.1627 2022/08/04 21:42:06 - mmengine - INFO - Epoch(train) [24][860/940] lr: 1.0000e-02 eta: 12:46:29 time: 0.6494 data_time: 0.0403 memory: 24011 grad_norm: 4.6411 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1835 loss: 1.1835 2022/08/04 21:42:18 - mmengine - INFO - Epoch(train) [24][880/940] lr: 1.0000e-02 eta: 12:46:13 time: 0.5949 data_time: 0.0363 memory: 24011 grad_norm: 4.6922 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2138 loss: 1.2138 2022/08/04 21:42:31 - mmengine - INFO - Epoch(train) [24][900/940] lr: 1.0000e-02 eta: 12:46:00 time: 0.6358 data_time: 0.0332 memory: 24011 grad_norm: 6.7612 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2747 loss: 1.2747 2022/08/04 21:42:43 - mmengine - INFO - Epoch(train) [24][920/940] lr: 1.0000e-02 eta: 12:45:44 time: 0.6014 data_time: 0.0348 memory: 24011 grad_norm: 4.8695 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2434 loss: 1.2434 2022/08/04 21:42:54 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:42:54 - mmengine - INFO - Epoch(train) [24][940/940] lr: 1.0000e-02 eta: 12:45:27 time: 0.5665 data_time: 0.0255 memory: 24011 grad_norm: 5.6548 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.2118 loss: 1.2118 2022/08/04 21:42:54 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/04 21:43:14 - mmengine - INFO - Epoch(val) [24][20/78] eta: 0:00:39 time: 0.6833 data_time: 0.5198 memory: 3625 2022/08/04 21:43:23 - mmengine - INFO - Epoch(val) [24][40/78] eta: 0:00:16 time: 0.4449 data_time: 0.2922 memory: 3625 2022/08/04 21:43:35 - mmengine - INFO - Epoch(val) [24][60/78] eta: 0:00:10 time: 0.6057 data_time: 0.4471 memory: 3625 2022/08/04 21:43:44 - mmengine - INFO - Epoch(val) [24][78/78] acc/top1: 0.7094 acc/top5: 0.8967 acc/mean1: 0.7093 2022/08/04 21:44:02 - mmengine - INFO - Epoch(train) [25][20/940] lr: 1.0000e-02 eta: 12:45:29 time: 0.8847 data_time: 0.2664 memory: 24011 grad_norm: 4.6314 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1729 loss: 1.1729 2022/08/04 21:44:14 - mmengine - INFO - Epoch(train) [25][40/940] lr: 1.0000e-02 eta: 12:45:14 time: 0.6024 data_time: 0.0340 memory: 24011 grad_norm: 5.0878 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1447 loss: 1.1447 2022/08/04 21:44:27 - mmengine - INFO - Epoch(train) [25][60/940] lr: 1.0000e-02 eta: 12:45:00 time: 0.6307 data_time: 0.0338 memory: 24011 grad_norm: 4.7868 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0144 loss: 1.0144 2022/08/04 21:44:40 - mmengine - INFO - Epoch(train) [25][80/940] lr: 1.0000e-02 eta: 12:44:47 time: 0.6393 data_time: 0.0462 memory: 24011 grad_norm: 4.2844 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.2230 loss: 1.2230 2022/08/04 21:44:52 - mmengine - INFO - Epoch(train) [25][100/940] lr: 1.0000e-02 eta: 12:44:34 time: 0.6371 data_time: 0.0530 memory: 24011 grad_norm: 4.6322 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0455 loss: 1.0455 2022/08/04 21:45:05 - mmengine - INFO - Epoch(train) [25][120/940] lr: 1.0000e-02 eta: 12:44:21 time: 0.6379 data_time: 0.0418 memory: 24011 grad_norm: 4.4623 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0285 loss: 1.0285 2022/08/04 21:45:18 - mmengine - INFO - Epoch(train) [25][140/940] lr: 1.0000e-02 eta: 12:44:07 time: 0.6286 data_time: 0.0331 memory: 24011 grad_norm: 4.4186 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0881 loss: 1.0881 2022/08/04 21:45:30 - mmengine - INFO - Epoch(train) [25][160/940] lr: 1.0000e-02 eta: 12:43:53 time: 0.6340 data_time: 0.0343 memory: 24011 grad_norm: 5.6613 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1506 loss: 1.1506 2022/08/04 21:45:44 - mmengine - INFO - Epoch(train) [25][180/940] lr: 1.0000e-02 eta: 12:43:42 time: 0.6661 data_time: 0.0346 memory: 24011 grad_norm: 4.9735 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1964 loss: 1.1964 2022/08/04 21:45:56 - mmengine - INFO - Epoch(train) [25][200/940] lr: 1.0000e-02 eta: 12:43:27 time: 0.6061 data_time: 0.0339 memory: 24011 grad_norm: 4.4811 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2291 loss: 1.2291 2022/08/04 21:46:09 - mmengine - INFO - Epoch(train) [25][220/940] lr: 1.0000e-02 eta: 12:43:13 time: 0.6358 data_time: 0.0340 memory: 24011 grad_norm: 4.3813 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1660 loss: 1.1660 2022/08/04 21:46:20 - mmengine - INFO - Epoch(train) [25][240/940] lr: 1.0000e-02 eta: 12:42:57 time: 0.5908 data_time: 0.0380 memory: 24011 grad_norm: 4.5291 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1371 loss: 1.1371 2022/08/04 21:46:33 - mmengine - INFO - Epoch(train) [25][260/940] lr: 1.0000e-02 eta: 12:42:44 time: 0.6418 data_time: 0.0387 memory: 24011 grad_norm: 4.2379 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0495 loss: 1.0495 2022/08/04 21:46:45 - mmengine - INFO - Epoch(train) [25][280/940] lr: 1.0000e-02 eta: 12:42:29 time: 0.6086 data_time: 0.0432 memory: 24011 grad_norm: 4.5145 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1420 loss: 1.1420 2022/08/04 21:46:57 - mmengine - INFO - Epoch(train) [25][300/940] lr: 1.0000e-02 eta: 12:42:13 time: 0.5901 data_time: 0.0385 memory: 24011 grad_norm: 4.5439 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2376 loss: 1.2376 2022/08/04 21:47:09 - mmengine - INFO - Epoch(train) [25][320/940] lr: 1.0000e-02 eta: 12:41:59 time: 0.6133 data_time: 0.0403 memory: 24011 grad_norm: 4.5698 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1384 loss: 1.1384 2022/08/04 21:47:22 - mmengine - INFO - Epoch(train) [25][340/940] lr: 1.0000e-02 eta: 12:41:45 time: 0.6263 data_time: 0.0349 memory: 24011 grad_norm: 4.3927 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1650 loss: 1.1650 2022/08/04 21:47:34 - mmengine - INFO - Epoch(train) [25][360/940] lr: 1.0000e-02 eta: 12:41:31 time: 0.6243 data_time: 0.0329 memory: 24011 grad_norm: 4.5241 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0802 loss: 1.0802 2022/08/04 21:47:47 - mmengine - INFO - Epoch(train) [25][380/940] lr: 1.0000e-02 eta: 12:41:17 time: 0.6236 data_time: 0.0353 memory: 24011 grad_norm: 4.1998 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2242 loss: 1.2242 2022/08/04 21:48:00 - mmengine - INFO - Epoch(train) [25][400/940] lr: 1.0000e-02 eta: 12:41:06 time: 0.6751 data_time: 0.0313 memory: 24011 grad_norm: 4.1322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0566 loss: 1.0566 2022/08/04 21:48:13 - mmengine - INFO - Epoch(train) [25][420/940] lr: 1.0000e-02 eta: 12:40:51 time: 0.6084 data_time: 0.0359 memory: 24011 grad_norm: 4.7692 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.9846 loss: 0.9846 2022/08/04 21:48:25 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:48:25 - mmengine - INFO - Epoch(train) [25][440/940] lr: 1.0000e-02 eta: 12:40:38 time: 0.6369 data_time: 0.0337 memory: 24011 grad_norm: 4.5346 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1058 loss: 1.1058 2022/08/04 21:48:37 - mmengine - INFO - Epoch(train) [25][460/940] lr: 1.0000e-02 eta: 12:40:22 time: 0.5977 data_time: 0.0337 memory: 24011 grad_norm: 4.4131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1203 loss: 1.1203 2022/08/04 21:48:50 - mmengine - INFO - Epoch(train) [25][480/940] lr: 1.0000e-02 eta: 12:40:09 time: 0.6348 data_time: 0.0365 memory: 24011 grad_norm: 4.1319 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1558 loss: 1.1558 2022/08/04 21:49:02 - mmengine - INFO - Epoch(train) [25][500/940] lr: 1.0000e-02 eta: 12:39:53 time: 0.6000 data_time: 0.0351 memory: 24011 grad_norm: 3.9700 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1727 loss: 1.1727 2022/08/04 21:49:15 - mmengine - INFO - Epoch(train) [25][520/940] lr: 1.0000e-02 eta: 12:39:39 time: 0.6304 data_time: 0.0355 memory: 24011 grad_norm: 4.6892 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0962 loss: 1.0962 2022/08/04 21:49:28 - mmengine - INFO - Epoch(train) [25][540/940] lr: 1.0000e-02 eta: 12:39:27 time: 0.6452 data_time: 0.0397 memory: 24011 grad_norm: 4.4355 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0370 loss: 1.0370 2022/08/04 21:49:40 - mmengine - INFO - Epoch(train) [25][560/940] lr: 1.0000e-02 eta: 12:39:11 time: 0.6025 data_time: 0.0430 memory: 24011 grad_norm: 4.4706 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2152 loss: 1.2152 2022/08/04 21:49:52 - mmengine - INFO - Epoch(train) [25][580/940] lr: 1.0000e-02 eta: 12:38:56 time: 0.6080 data_time: 0.0337 memory: 24011 grad_norm: 4.1129 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0730 loss: 1.0730 2022/08/04 21:50:04 - mmengine - INFO - Epoch(train) [25][600/940] lr: 1.0000e-02 eta: 12:38:43 time: 0.6251 data_time: 0.0386 memory: 24011 grad_norm: 4.2563 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0764 loss: 1.0764 2022/08/04 21:50:17 - mmengine - INFO - Epoch(train) [25][620/940] lr: 1.0000e-02 eta: 12:38:31 time: 0.6586 data_time: 0.0428 memory: 24011 grad_norm: 4.1003 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1256 loss: 1.1256 2022/08/04 21:50:30 - mmengine - INFO - Epoch(train) [25][640/940] lr: 1.0000e-02 eta: 12:38:16 time: 0.6095 data_time: 0.0432 memory: 24011 grad_norm: 4.4370 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0321 loss: 1.0321 2022/08/04 21:50:42 - mmengine - INFO - Epoch(train) [25][660/940] lr: 1.0000e-02 eta: 12:38:02 time: 0.6304 data_time: 0.0347 memory: 24011 grad_norm: 4.3531 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1182 loss: 1.1182 2022/08/04 21:50:55 - mmengine - INFO - Epoch(train) [25][680/940] lr: 1.0000e-02 eta: 12:37:49 time: 0.6310 data_time: 0.0410 memory: 24011 grad_norm: 4.2779 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/08/04 21:51:07 - mmengine - INFO - Epoch(train) [25][700/940] lr: 1.0000e-02 eta: 12:37:35 time: 0.6281 data_time: 0.0399 memory: 24011 grad_norm: 4.0627 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1630 loss: 1.1630 2022/08/04 21:51:20 - mmengine - INFO - Epoch(train) [25][720/940] lr: 1.0000e-02 eta: 12:37:20 time: 0.6099 data_time: 0.0440 memory: 24011 grad_norm: 4.3852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0755 loss: 1.0755 2022/08/04 21:51:32 - mmengine - INFO - Epoch(train) [25][740/940] lr: 1.0000e-02 eta: 12:37:06 time: 0.6153 data_time: 0.0391 memory: 24011 grad_norm: 4.1358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0498 loss: 1.0498 2022/08/04 21:51:44 - mmengine - INFO - Epoch(train) [25][760/940] lr: 1.0000e-02 eta: 12:36:50 time: 0.5965 data_time: 0.0393 memory: 24011 grad_norm: 4.4286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/08/04 21:51:56 - mmengine - INFO - Epoch(train) [25][780/940] lr: 1.0000e-02 eta: 12:36:36 time: 0.6268 data_time: 0.0359 memory: 24011 grad_norm: 4.2624 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1401 loss: 1.1401 2022/08/04 21:52:09 - mmengine - INFO - Epoch(train) [25][800/940] lr: 1.0000e-02 eta: 12:36:22 time: 0.6135 data_time: 0.0342 memory: 24011 grad_norm: 4.2566 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0310 loss: 1.0310 2022/08/04 21:52:21 - mmengine - INFO - Epoch(train) [25][820/940] lr: 1.0000e-02 eta: 12:36:07 time: 0.6081 data_time: 0.0383 memory: 24011 grad_norm: 4.0808 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.0131 loss: 1.0131 2022/08/04 21:52:33 - mmengine - INFO - Epoch(train) [25][840/940] lr: 1.0000e-02 eta: 12:35:51 time: 0.5960 data_time: 0.0380 memory: 24011 grad_norm: 4.2216 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1867 loss: 1.1867 2022/08/04 21:52:45 - mmengine - INFO - Epoch(train) [25][860/940] lr: 1.0000e-02 eta: 12:35:35 time: 0.5990 data_time: 0.0347 memory: 24011 grad_norm: 4.4272 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0996 loss: 1.0996 2022/08/04 21:52:58 - mmengine - INFO - Epoch(train) [25][880/940] lr: 1.0000e-02 eta: 12:35:23 time: 0.6401 data_time: 0.0356 memory: 24011 grad_norm: 4.2469 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1451 loss: 1.1451 2022/08/04 21:53:10 - mmengine - INFO - Epoch(train) [25][900/940] lr: 1.0000e-02 eta: 12:35:09 time: 0.6275 data_time: 0.0353 memory: 24011 grad_norm: 4.4564 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.3219 loss: 1.3219 2022/08/04 21:53:22 - mmengine - INFO - Epoch(train) [25][920/940] lr: 1.0000e-02 eta: 12:34:53 time: 0.5991 data_time: 0.0370 memory: 24011 grad_norm: 4.4390 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0348 loss: 1.0348 2022/08/04 21:53:34 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:53:34 - mmengine - INFO - Epoch(train) [25][940/940] lr: 1.0000e-02 eta: 12:34:36 time: 0.5717 data_time: 0.0471 memory: 24011 grad_norm: 4.3486 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.2454 loss: 1.2454 2022/08/04 21:53:47 - mmengine - INFO - Epoch(val) [25][20/78] eta: 0:00:38 time: 0.6619 data_time: 0.5045 memory: 3625 2022/08/04 21:53:56 - mmengine - INFO - Epoch(val) [25][40/78] eta: 0:00:16 time: 0.4367 data_time: 0.2840 memory: 3625 2022/08/04 21:54:09 - mmengine - INFO - Epoch(val) [25][60/78] eta: 0:00:11 time: 0.6534 data_time: 0.5003 memory: 3625 2022/08/04 21:54:18 - mmengine - INFO - Epoch(val) [25][78/78] acc/top1: 0.7213 acc/top5: 0.9039 acc/mean1: 0.7212 2022/08/04 21:54:36 - mmengine - INFO - Epoch(train) [26][20/940] lr: 1.0000e-02 eta: 12:34:37 time: 0.8757 data_time: 0.2426 memory: 24011 grad_norm: 4.3263 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 0.9822 loss: 0.9822 2022/08/04 21:54:49 - mmengine - INFO - Epoch(train) [26][40/940] lr: 1.0000e-02 eta: 12:34:24 time: 0.6360 data_time: 0.0288 memory: 24011 grad_norm: 4.1736 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 1.1350 loss: 1.1350 2022/08/04 21:55:01 - mmengine - INFO - Epoch(train) [26][60/940] lr: 1.0000e-02 eta: 12:34:11 time: 0.6418 data_time: 0.0373 memory: 24011 grad_norm: 4.1101 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.0912 loss: 1.0912 2022/08/04 21:55:14 - mmengine - INFO - Epoch(train) [26][80/940] lr: 1.0000e-02 eta: 12:33:58 time: 0.6295 data_time: 0.0410 memory: 24011 grad_norm: 4.7455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/08/04 21:55:27 - mmengine - INFO - Epoch(train) [26][100/940] lr: 1.0000e-02 eta: 12:33:44 time: 0.6269 data_time: 0.0356 memory: 24011 grad_norm: 4.3330 top1_acc: 0.8438 top5_acc: 0.8438 loss_cls: 1.1407 loss: 1.1407 2022/08/04 21:55:39 - mmengine - INFO - Epoch(train) [26][120/940] lr: 1.0000e-02 eta: 12:33:29 time: 0.6061 data_time: 0.0304 memory: 24011 grad_norm: 4.5834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0098 loss: 1.0098 2022/08/04 21:55:52 - mmengine - INFO - Epoch(train) [26][140/940] lr: 1.0000e-02 eta: 12:33:17 time: 0.6522 data_time: 0.0352 memory: 24011 grad_norm: 4.4410 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0031 loss: 1.0031 2022/08/04 21:56:05 - mmengine - INFO - Epoch(train) [26][160/940] lr: 1.0000e-02 eta: 12:33:04 time: 0.6396 data_time: 0.0339 memory: 24011 grad_norm: 4.6942 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/04 21:56:17 - mmengine - INFO - Epoch(train) [26][180/940] lr: 1.0000e-02 eta: 12:32:49 time: 0.6171 data_time: 0.0364 memory: 24011 grad_norm: 4.2413 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0917 loss: 1.0917 2022/08/04 21:56:29 - mmengine - INFO - Epoch(train) [26][200/940] lr: 1.0000e-02 eta: 12:32:35 time: 0.6132 data_time: 0.0456 memory: 24011 grad_norm: 4.6349 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0609 loss: 1.0609 2022/08/04 21:56:41 - mmengine - INFO - Epoch(train) [26][220/940] lr: 1.0000e-02 eta: 12:32:20 time: 0.6060 data_time: 0.0347 memory: 24011 grad_norm: 4.2185 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1951 loss: 1.1951 2022/08/04 21:56:53 - mmengine - INFO - Epoch(train) [26][240/940] lr: 1.0000e-02 eta: 12:32:05 time: 0.6065 data_time: 0.0356 memory: 24011 grad_norm: 4.5380 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0792 loss: 1.0792 2022/08/04 21:57:06 - mmengine - INFO - Epoch(train) [26][260/940] lr: 1.0000e-02 eta: 12:31:52 time: 0.6383 data_time: 0.0350 memory: 24011 grad_norm: 4.1793 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1439 loss: 1.1439 2022/08/04 21:57:19 - mmengine - INFO - Epoch(train) [26][280/940] lr: 1.0000e-02 eta: 12:31:38 time: 0.6222 data_time: 0.0334 memory: 24011 grad_norm: 4.2842 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1040 loss: 1.1040 2022/08/04 21:57:32 - mmengine - INFO - Epoch(train) [26][300/940] lr: 1.0000e-02 eta: 12:31:27 time: 0.6791 data_time: 0.0353 memory: 24011 grad_norm: 4.1998 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0466 loss: 1.0466 2022/08/04 21:57:44 - mmengine - INFO - Epoch(train) [26][320/940] lr: 1.0000e-02 eta: 12:31:12 time: 0.6049 data_time: 0.0346 memory: 24011 grad_norm: 4.2275 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0488 loss: 1.0488 2022/08/04 21:57:57 - mmengine - INFO - Epoch(train) [26][340/940] lr: 1.0000e-02 eta: 12:30:58 time: 0.6271 data_time: 0.0334 memory: 24011 grad_norm: 4.1943 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9739 loss: 0.9739 2022/08/04 21:58:09 - mmengine - INFO - Epoch(train) [26][360/940] lr: 1.0000e-02 eta: 12:30:44 time: 0.6142 data_time: 0.0313 memory: 24011 grad_norm: 4.1085 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9965 loss: 0.9965 2022/08/04 21:58:21 - mmengine - INFO - Epoch(train) [26][380/940] lr: 1.0000e-02 eta: 12:30:28 time: 0.6027 data_time: 0.0379 memory: 24011 grad_norm: 4.2942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0991 loss: 1.0991 2022/08/04 21:58:34 - mmengine - INFO - Epoch(train) [26][400/940] lr: 1.0000e-02 eta: 12:30:14 time: 0.6142 data_time: 0.0340 memory: 24011 grad_norm: 4.2232 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2893 loss: 1.2893 2022/08/04 21:58:46 - mmengine - INFO - Epoch(train) [26][420/940] lr: 1.0000e-02 eta: 12:29:59 time: 0.6119 data_time: 0.0383 memory: 24011 grad_norm: 4.6013 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1018 loss: 1.1018 2022/08/04 21:58:58 - mmengine - INFO - Epoch(train) [26][440/940] lr: 1.0000e-02 eta: 12:29:45 time: 0.6188 data_time: 0.0404 memory: 24011 grad_norm: 4.4714 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1751 loss: 1.1751 2022/08/04 21:59:11 - mmengine - INFO - Epoch(train) [26][460/940] lr: 1.0000e-02 eta: 12:29:31 time: 0.6238 data_time: 0.0403 memory: 24011 grad_norm: 4.5030 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1355 loss: 1.1355 2022/08/04 21:59:23 - mmengine - INFO - Epoch(train) [26][480/940] lr: 1.0000e-02 eta: 12:29:17 time: 0.6162 data_time: 0.0319 memory: 24011 grad_norm: 4.2506 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0251 loss: 1.0251 2022/08/04 21:59:35 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 21:59:35 - mmengine - INFO - Epoch(train) [26][500/940] lr: 1.0000e-02 eta: 12:29:03 time: 0.6254 data_time: 0.0317 memory: 24011 grad_norm: 4.5397 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0471 loss: 1.0471 2022/08/04 21:59:48 - mmengine - INFO - Epoch(train) [26][520/940] lr: 1.0000e-02 eta: 12:28:49 time: 0.6201 data_time: 0.0275 memory: 24011 grad_norm: 4.4119 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0568 loss: 1.0568 2022/08/04 22:00:01 - mmengine - INFO - Epoch(train) [26][540/940] lr: 1.0000e-02 eta: 12:28:37 time: 0.6631 data_time: 0.0353 memory: 24011 grad_norm: 4.3208 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0997 loss: 1.0997 2022/08/04 22:00:14 - mmengine - INFO - Epoch(train) [26][560/940] lr: 1.0000e-02 eta: 12:28:24 time: 0.6247 data_time: 0.0352 memory: 24011 grad_norm: 4.3775 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0594 loss: 1.0594 2022/08/04 22:00:26 - mmengine - INFO - Epoch(train) [26][580/940] lr: 1.0000e-02 eta: 12:28:08 time: 0.5962 data_time: 0.0433 memory: 24011 grad_norm: 4.2890 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1133 loss: 1.1133 2022/08/04 22:00:39 - mmengine - INFO - Epoch(train) [26][600/940] lr: 1.0000e-02 eta: 12:27:56 time: 0.6515 data_time: 0.0373 memory: 24011 grad_norm: 4.2287 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1764 loss: 1.1764 2022/08/04 22:00:50 - mmengine - INFO - Epoch(train) [26][620/940] lr: 1.0000e-02 eta: 12:27:39 time: 0.5832 data_time: 0.0393 memory: 24011 grad_norm: 4.2852 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1252 loss: 1.1252 2022/08/04 22:01:03 - mmengine - INFO - Epoch(train) [26][640/940] lr: 1.0000e-02 eta: 12:27:27 time: 0.6470 data_time: 0.0347 memory: 24011 grad_norm: 4.4761 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1067 loss: 1.1067 2022/08/04 22:01:16 - mmengine - INFO - Epoch(train) [26][660/940] lr: 1.0000e-02 eta: 12:27:14 time: 0.6430 data_time: 0.0334 memory: 24011 grad_norm: 4.3678 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1393 loss: 1.1393 2022/08/04 22:01:28 - mmengine - INFO - Epoch(train) [26][680/940] lr: 1.0000e-02 eta: 12:26:59 time: 0.6084 data_time: 0.0374 memory: 24011 grad_norm: 4.4079 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1992 loss: 1.1992 2022/08/04 22:01:41 - mmengine - INFO - Epoch(train) [26][700/940] lr: 1.0000e-02 eta: 12:26:48 time: 0.6592 data_time: 0.0428 memory: 24011 grad_norm: 4.6271 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1478 loss: 1.1478 2022/08/04 22:01:53 - mmengine - INFO - Epoch(train) [26][720/940] lr: 1.0000e-02 eta: 12:26:32 time: 0.6019 data_time: 0.0406 memory: 24011 grad_norm: 4.1851 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0963 loss: 1.0963 2022/08/04 22:02:06 - mmengine - INFO - Epoch(train) [26][740/940] lr: 1.0000e-02 eta: 12:26:17 time: 0.6042 data_time: 0.0396 memory: 24011 grad_norm: 5.5738 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.3122 loss: 1.3122 2022/08/04 22:02:18 - mmengine - INFO - Epoch(train) [26][760/940] lr: 1.0000e-02 eta: 12:26:04 time: 0.6251 data_time: 0.0410 memory: 24011 grad_norm: 4.3959 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1393 loss: 1.1393 2022/08/04 22:02:30 - mmengine - INFO - Epoch(train) [26][780/940] lr: 1.0000e-02 eta: 12:25:48 time: 0.5905 data_time: 0.0395 memory: 24011 grad_norm: 4.1602 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0479 loss: 1.0479 2022/08/04 22:02:43 - mmengine - INFO - Epoch(train) [26][800/940] lr: 1.0000e-02 eta: 12:25:35 time: 0.6411 data_time: 0.0352 memory: 24011 grad_norm: 4.2256 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0455 loss: 1.0455 2022/08/04 22:02:55 - mmengine - INFO - Epoch(train) [26][820/940] lr: 1.0000e-02 eta: 12:25:21 time: 0.6314 data_time: 0.0396 memory: 24011 grad_norm: 4.5278 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1681 loss: 1.1681 2022/08/04 22:03:08 - mmengine - INFO - Epoch(train) [26][840/940] lr: 1.0000e-02 eta: 12:25:09 time: 0.6561 data_time: 0.0357 memory: 24011 grad_norm: 4.4023 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 1.0883 loss: 1.0883 2022/08/04 22:03:20 - mmengine - INFO - Epoch(train) [26][860/940] lr: 1.0000e-02 eta: 12:24:54 time: 0.5976 data_time: 0.0509 memory: 24011 grad_norm: 4.2270 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0871 loss: 1.0871 2022/08/04 22:03:33 - mmengine - INFO - Epoch(train) [26][880/940] lr: 1.0000e-02 eta: 12:24:41 time: 0.6449 data_time: 0.0366 memory: 24011 grad_norm: 4.1846 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0216 loss: 1.0216 2022/08/04 22:03:45 - mmengine - INFO - Epoch(train) [26][900/940] lr: 1.0000e-02 eta: 12:24:26 time: 0.5987 data_time: 0.0309 memory: 24011 grad_norm: 4.3220 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/08/04 22:03:57 - mmengine - INFO - Epoch(train) [26][920/940] lr: 1.0000e-02 eta: 12:24:10 time: 0.5890 data_time: 0.0423 memory: 24011 grad_norm: 4.1840 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1985 loss: 1.1985 2022/08/04 22:04:08 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:04:08 - mmengine - INFO - Epoch(train) [26][940/940] lr: 1.0000e-02 eta: 12:23:52 time: 0.5506 data_time: 0.0300 memory: 24011 grad_norm: 4.4416 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0897 loss: 1.0897 2022/08/04 22:04:22 - mmengine - INFO - Epoch(val) [26][20/78] eta: 0:00:40 time: 0.6912 data_time: 0.5364 memory: 3625 2022/08/04 22:04:30 - mmengine - INFO - Epoch(val) [26][40/78] eta: 0:00:16 time: 0.4231 data_time: 0.2716 memory: 3625 2022/08/04 22:04:43 - mmengine - INFO - Epoch(val) [26][60/78] eta: 0:00:11 time: 0.6308 data_time: 0.4718 memory: 3625 2022/08/04 22:04:53 - mmengine - INFO - Epoch(val) [26][78/78] acc/top1: 0.7209 acc/top5: 0.9038 acc/mean1: 0.7207 2022/08/04 22:05:11 - mmengine - INFO - Epoch(train) [27][20/940] lr: 1.0000e-02 eta: 12:23:53 time: 0.8773 data_time: 0.3168 memory: 24011 grad_norm: 4.1533 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9372 loss: 0.9372 2022/08/04 22:05:23 - mmengine - INFO - Epoch(train) [27][40/940] lr: 1.0000e-02 eta: 12:23:38 time: 0.6032 data_time: 0.0492 memory: 24011 grad_norm: 4.3679 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1578 loss: 1.1578 2022/08/04 22:05:36 - mmengine - INFO - Epoch(train) [27][60/940] lr: 1.0000e-02 eta: 12:23:26 time: 0.6620 data_time: 0.1073 memory: 24011 grad_norm: 4.3381 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1048 loss: 1.1048 2022/08/04 22:05:49 - mmengine - INFO - Epoch(train) [27][80/940] lr: 1.0000e-02 eta: 12:23:12 time: 0.6189 data_time: 0.0749 memory: 24011 grad_norm: 4.4023 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1486 loss: 1.1486 2022/08/04 22:06:01 - mmengine - INFO - Epoch(train) [27][100/940] lr: 1.0000e-02 eta: 12:22:59 time: 0.6476 data_time: 0.0383 memory: 24011 grad_norm: 4.1732 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0165 loss: 1.0165 2022/08/04 22:06:13 - mmengine - INFO - Epoch(train) [27][120/940] lr: 1.0000e-02 eta: 12:22:43 time: 0.5864 data_time: 0.0341 memory: 24011 grad_norm: 4.0905 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0598 loss: 1.0598 2022/08/04 22:06:27 - mmengine - INFO - Epoch(train) [27][140/940] lr: 1.0000e-02 eta: 12:22:33 time: 0.6820 data_time: 0.1214 memory: 24011 grad_norm: 4.4348 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1310 loss: 1.1310 2022/08/04 22:06:39 - mmengine - INFO - Epoch(train) [27][160/940] lr: 1.0000e-02 eta: 12:22:18 time: 0.6084 data_time: 0.0601 memory: 24011 grad_norm: 4.2428 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1782 loss: 1.1782 2022/08/04 22:06:52 - mmengine - INFO - Epoch(train) [27][180/940] lr: 1.0000e-02 eta: 12:22:05 time: 0.6304 data_time: 0.0651 memory: 24011 grad_norm: 4.5427 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0808 loss: 1.0808 2022/08/04 22:07:04 - mmengine - INFO - Epoch(train) [27][200/940] lr: 1.0000e-02 eta: 12:21:50 time: 0.6058 data_time: 0.0313 memory: 24011 grad_norm: 4.4800 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1274 loss: 1.1274 2022/08/04 22:07:16 - mmengine - INFO - Epoch(train) [27][220/940] lr: 1.0000e-02 eta: 12:21:37 time: 0.6371 data_time: 0.0737 memory: 24011 grad_norm: 4.1891 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1298 loss: 1.1298 2022/08/04 22:07:28 - mmengine - INFO - Epoch(train) [27][240/940] lr: 1.0000e-02 eta: 12:21:22 time: 0.5991 data_time: 0.0418 memory: 24011 grad_norm: 5.6065 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 0.9763 loss: 0.9763 2022/08/04 22:07:41 - mmengine - INFO - Epoch(train) [27][260/940] lr: 1.0000e-02 eta: 12:21:09 time: 0.6486 data_time: 0.0409 memory: 24011 grad_norm: 4.6372 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0989 loss: 1.0989 2022/08/04 22:07:54 - mmengine - INFO - Epoch(train) [27][280/940] lr: 1.0000e-02 eta: 12:20:57 time: 0.6506 data_time: 0.0774 memory: 24011 grad_norm: 4.8515 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1456 loss: 1.1456 2022/08/04 22:08:06 - mmengine - INFO - Epoch(train) [27][300/940] lr: 1.0000e-02 eta: 12:20:42 time: 0.5992 data_time: 0.0358 memory: 24011 grad_norm: 4.3318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/08/04 22:08:19 - mmengine - INFO - Epoch(train) [27][320/940] lr: 1.0000e-02 eta: 12:20:28 time: 0.6371 data_time: 0.0629 memory: 24011 grad_norm: 4.6990 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1266 loss: 1.1266 2022/08/04 22:08:32 - mmengine - INFO - Epoch(train) [27][340/940] lr: 1.0000e-02 eta: 12:20:15 time: 0.6242 data_time: 0.0531 memory: 24011 grad_norm: 4.2174 top1_acc: 0.5000 top5_acc: 0.7812 loss_cls: 1.0258 loss: 1.0258 2022/08/04 22:08:44 - mmengine - INFO - Epoch(train) [27][360/940] lr: 1.0000e-02 eta: 12:20:00 time: 0.6149 data_time: 0.0345 memory: 24011 grad_norm: 4.6287 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.1183 loss: 1.1183 2022/08/04 22:08:56 - mmengine - INFO - Epoch(train) [27][380/940] lr: 1.0000e-02 eta: 12:19:46 time: 0.6219 data_time: 0.0540 memory: 24011 grad_norm: 4.6161 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1475 loss: 1.1475 2022/08/04 22:09:09 - mmengine - INFO - Epoch(train) [27][400/940] lr: 1.0000e-02 eta: 12:19:33 time: 0.6296 data_time: 0.0330 memory: 24011 grad_norm: 4.3741 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0284 loss: 1.0284 2022/08/04 22:09:21 - mmengine - INFO - Epoch(train) [27][420/940] lr: 1.0000e-02 eta: 12:19:17 time: 0.5882 data_time: 0.0312 memory: 24011 grad_norm: 4.4367 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0187 loss: 1.0187 2022/08/04 22:09:34 - mmengine - INFO - Epoch(train) [27][440/940] lr: 1.0000e-02 eta: 12:19:06 time: 0.6756 data_time: 0.0499 memory: 24011 grad_norm: 5.8596 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0754 loss: 1.0754 2022/08/04 22:09:46 - mmengine - INFO - Epoch(train) [27][460/940] lr: 1.0000e-02 eta: 12:18:51 time: 0.6004 data_time: 0.0340 memory: 24011 grad_norm: 5.2477 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.3154 loss: 1.3154 2022/08/04 22:09:59 - mmengine - INFO - Epoch(train) [27][480/940] lr: 1.0000e-02 eta: 12:18:37 time: 0.6161 data_time: 0.0263 memory: 24011 grad_norm: 4.7780 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1235 loss: 1.1235 2022/08/04 22:10:12 - mmengine - INFO - Epoch(train) [27][500/940] lr: 1.0000e-02 eta: 12:18:25 time: 0.6544 data_time: 0.0385 memory: 24011 grad_norm: 4.9784 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1132 loss: 1.1132 2022/08/04 22:10:25 - mmengine - INFO - Epoch(train) [27][520/940] lr: 1.0000e-02 eta: 12:18:13 time: 0.6653 data_time: 0.0318 memory: 24011 grad_norm: 4.4962 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1085 loss: 1.1085 2022/08/04 22:10:37 - mmengine - INFO - Epoch(train) [27][540/940] lr: 1.0000e-02 eta: 12:17:57 time: 0.5876 data_time: 0.0367 memory: 24011 grad_norm: 4.4950 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0457 loss: 1.0457 2022/08/04 22:10:49 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:10:49 - mmengine - INFO - Epoch(train) [27][560/940] lr: 1.0000e-02 eta: 12:17:43 time: 0.6193 data_time: 0.0407 memory: 24011 grad_norm: 4.5625 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1075 loss: 1.1075 2022/08/04 22:11:01 - mmengine - INFO - Epoch(train) [27][580/940] lr: 1.0000e-02 eta: 12:17:28 time: 0.6030 data_time: 0.0410 memory: 24011 grad_norm: 4.1023 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0956 loss: 1.0956 2022/08/04 22:11:14 - mmengine - INFO - Epoch(train) [27][600/940] lr: 1.0000e-02 eta: 12:17:16 time: 0.6485 data_time: 0.0396 memory: 24011 grad_norm: 4.4314 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.0797 loss: 1.0797 2022/08/04 22:11:27 - mmengine - INFO - Epoch(train) [27][620/940] lr: 1.0000e-02 eta: 12:17:02 time: 0.6209 data_time: 0.0341 memory: 24011 grad_norm: 4.3294 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1776 loss: 1.1776 2022/08/04 22:11:39 - mmengine - INFO - Epoch(train) [27][640/940] lr: 1.0000e-02 eta: 12:16:47 time: 0.5950 data_time: 0.0371 memory: 24011 grad_norm: 4.6174 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1354 loss: 1.1354 2022/08/04 22:11:50 - mmengine - INFO - Epoch(train) [27][660/940] lr: 1.0000e-02 eta: 12:16:31 time: 0.5974 data_time: 0.0313 memory: 24011 grad_norm: 4.2438 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.9650 loss: 0.9650 2022/08/04 22:12:03 - mmengine - INFO - Epoch(train) [27][680/940] lr: 1.0000e-02 eta: 12:16:19 time: 0.6446 data_time: 0.0357 memory: 24011 grad_norm: 4.2624 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1289 loss: 1.1289 2022/08/04 22:12:16 - mmengine - INFO - Epoch(train) [27][700/940] lr: 1.0000e-02 eta: 12:16:04 time: 0.6113 data_time: 0.0357 memory: 24011 grad_norm: 4.4909 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 1.1812 loss: 1.1812 2022/08/04 22:12:29 - mmengine - INFO - Epoch(train) [27][720/940] lr: 1.0000e-02 eta: 12:15:54 time: 0.6848 data_time: 0.0333 memory: 24011 grad_norm: 4.3775 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0484 loss: 1.0484 2022/08/04 22:12:42 - mmengine - INFO - Epoch(train) [27][740/940] lr: 1.0000e-02 eta: 12:15:40 time: 0.6214 data_time: 0.0318 memory: 24011 grad_norm: 5.0796 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2224 loss: 1.2224 2022/08/04 22:12:55 - mmengine - INFO - Epoch(train) [27][760/940] lr: 1.0000e-02 eta: 12:15:28 time: 0.6537 data_time: 0.0377 memory: 24011 grad_norm: 4.3835 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0081 loss: 1.0081 2022/08/04 22:13:07 - mmengine - INFO - Epoch(train) [27][780/940] lr: 1.0000e-02 eta: 12:15:14 time: 0.6192 data_time: 0.0405 memory: 24011 grad_norm: 4.9838 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.2451 loss: 1.2451 2022/08/04 22:13:20 - mmengine - INFO - Epoch(train) [27][800/940] lr: 1.0000e-02 eta: 12:15:02 time: 0.6551 data_time: 0.0355 memory: 24011 grad_norm: 4.2764 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.1760 loss: 1.1760 2022/08/04 22:13:32 - mmengine - INFO - Epoch(train) [27][820/940] lr: 1.0000e-02 eta: 12:14:45 time: 0.5768 data_time: 0.0367 memory: 24011 grad_norm: 5.4103 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1675 loss: 1.1675 2022/08/04 22:13:44 - mmengine - INFO - Epoch(train) [27][840/940] lr: 1.0000e-02 eta: 12:14:31 time: 0.6225 data_time: 0.0400 memory: 24011 grad_norm: 4.4529 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/08/04 22:13:57 - mmengine - INFO - Epoch(train) [27][860/940] lr: 1.0000e-02 eta: 12:14:17 time: 0.6112 data_time: 0.0367 memory: 24011 grad_norm: 4.4229 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 1.0411 loss: 1.0411 2022/08/04 22:14:09 - mmengine - INFO - Epoch(train) [27][880/940] lr: 1.0000e-02 eta: 12:14:03 time: 0.6187 data_time: 0.0580 memory: 24011 grad_norm: 4.2722 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0717 loss: 1.0717 2022/08/04 22:14:21 - mmengine - INFO - Epoch(train) [27][900/940] lr: 1.0000e-02 eta: 12:13:47 time: 0.5908 data_time: 0.0349 memory: 24011 grad_norm: 4.4395 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0547 loss: 1.0547 2022/08/04 22:14:34 - mmengine - INFO - Epoch(train) [27][920/940] lr: 1.0000e-02 eta: 12:13:35 time: 0.6451 data_time: 0.0352 memory: 24011 grad_norm: 4.6888 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0674 loss: 1.0674 2022/08/04 22:14:44 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:14:44 - mmengine - INFO - Epoch(train) [27][940/940] lr: 1.0000e-02 eta: 12:13:16 time: 0.5396 data_time: 0.0312 memory: 24011 grad_norm: 4.9025 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1535 loss: 1.1535 2022/08/04 22:14:44 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/04 22:15:03 - mmengine - INFO - Epoch(val) [27][20/78] eta: 0:00:39 time: 0.6843 data_time: 0.5298 memory: 3625 2022/08/04 22:15:12 - mmengine - INFO - Epoch(val) [27][40/78] eta: 0:00:15 time: 0.4164 data_time: 0.2661 memory: 3625 2022/08/04 22:15:24 - mmengine - INFO - Epoch(val) [27][60/78] eta: 0:00:11 time: 0.6184 data_time: 0.4651 memory: 3625 2022/08/04 22:15:33 - mmengine - INFO - Epoch(val) [27][78/78] acc/top1: 0.7186 acc/top5: 0.9023 acc/mean1: 0.7184 2022/08/04 22:15:51 - mmengine - INFO - Epoch(train) [28][20/940] lr: 1.0000e-02 eta: 12:13:17 time: 0.8961 data_time: 0.2731 memory: 24011 grad_norm: 4.7205 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 1.0804 loss: 1.0804 2022/08/04 22:16:04 - mmengine - INFO - Epoch(train) [28][40/940] lr: 1.0000e-02 eta: 12:13:05 time: 0.6469 data_time: 0.0314 memory: 24011 grad_norm: 4.5959 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9701 loss: 0.9701 2022/08/04 22:16:17 - mmengine - INFO - Epoch(train) [28][60/940] lr: 1.0000e-02 eta: 12:12:52 time: 0.6369 data_time: 0.0418 memory: 24011 grad_norm: 4.5392 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 0.9531 loss: 0.9531 2022/08/04 22:16:29 - mmengine - INFO - Epoch(train) [28][80/940] lr: 1.0000e-02 eta: 12:12:37 time: 0.6049 data_time: 0.0345 memory: 24011 grad_norm: 4.6196 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9979 loss: 0.9979 2022/08/04 22:16:42 - mmengine - INFO - Epoch(train) [28][100/940] lr: 1.0000e-02 eta: 12:12:23 time: 0.6277 data_time: 0.0352 memory: 24011 grad_norm: 4.5314 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0467 loss: 1.0467 2022/08/04 22:16:53 - mmengine - INFO - Epoch(train) [28][120/940] lr: 1.0000e-02 eta: 12:12:07 time: 0.5764 data_time: 0.0281 memory: 24011 grad_norm: 4.5872 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9706 loss: 0.9706 2022/08/04 22:17:06 - mmengine - INFO - Epoch(train) [28][140/940] lr: 1.0000e-02 eta: 12:11:54 time: 0.6456 data_time: 0.0528 memory: 24011 grad_norm: 4.2141 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9616 loss: 0.9616 2022/08/04 22:17:18 - mmengine - INFO - Epoch(train) [28][160/940] lr: 1.0000e-02 eta: 12:11:39 time: 0.5918 data_time: 0.0340 memory: 24011 grad_norm: 4.3929 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/04 22:17:31 - mmengine - INFO - Epoch(train) [28][180/940] lr: 1.0000e-02 eta: 12:11:26 time: 0.6428 data_time: 0.0330 memory: 24011 grad_norm: 4.2968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1501 loss: 1.1501 2022/08/04 22:17:43 - mmengine - INFO - Epoch(train) [28][200/940] lr: 1.0000e-02 eta: 12:11:12 time: 0.6123 data_time: 0.0328 memory: 24011 grad_norm: 4.3208 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0731 loss: 1.0731 2022/08/04 22:17:56 - mmengine - INFO - Epoch(train) [28][220/940] lr: 1.0000e-02 eta: 12:11:00 time: 0.6556 data_time: 0.0357 memory: 24011 grad_norm: 4.2410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9869 loss: 0.9869 2022/08/04 22:18:09 - mmengine - INFO - Epoch(train) [28][240/940] lr: 1.0000e-02 eta: 12:10:47 time: 0.6426 data_time: 0.0306 memory: 24011 grad_norm: 4.2321 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0751 loss: 1.0751 2022/08/04 22:18:21 - mmengine - INFO - Epoch(train) [28][260/940] lr: 1.0000e-02 eta: 12:10:33 time: 0.6170 data_time: 0.0367 memory: 24011 grad_norm: 4.3835 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9847 loss: 0.9847 2022/08/04 22:18:34 - mmengine - INFO - Epoch(train) [28][280/940] lr: 1.0000e-02 eta: 12:10:19 time: 0.6223 data_time: 0.0325 memory: 24011 grad_norm: 4.4939 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0567 loss: 1.0567 2022/08/04 22:18:46 - mmengine - INFO - Epoch(train) [28][300/940] lr: 1.0000e-02 eta: 12:10:06 time: 0.6323 data_time: 0.0365 memory: 24011 grad_norm: 4.6470 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0667 loss: 1.0667 2022/08/04 22:18:59 - mmengine - INFO - Epoch(train) [28][320/940] lr: 1.0000e-02 eta: 12:09:53 time: 0.6402 data_time: 0.0364 memory: 24011 grad_norm: 4.0986 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0769 loss: 1.0769 2022/08/04 22:19:12 - mmengine - INFO - Epoch(train) [28][340/940] lr: 1.0000e-02 eta: 12:09:40 time: 0.6390 data_time: 0.0292 memory: 24011 grad_norm: 4.3889 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0024 loss: 1.0024 2022/08/04 22:19:24 - mmengine - INFO - Epoch(train) [28][360/940] lr: 1.0000e-02 eta: 12:09:26 time: 0.6228 data_time: 0.0304 memory: 24011 grad_norm: 4.3169 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0668 loss: 1.0668 2022/08/04 22:19:36 - mmengine - INFO - Epoch(train) [28][380/940] lr: 1.0000e-02 eta: 12:09:11 time: 0.5911 data_time: 0.0353 memory: 24011 grad_norm: 4.3870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0284 loss: 1.0284 2022/08/04 22:19:49 - mmengine - INFO - Epoch(train) [28][400/940] lr: 1.0000e-02 eta: 12:08:57 time: 0.6223 data_time: 0.0324 memory: 24011 grad_norm: 4.2830 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1123 loss: 1.1123 2022/08/04 22:20:02 - mmengine - INFO - Epoch(train) [28][420/940] lr: 1.0000e-02 eta: 12:08:45 time: 0.6689 data_time: 0.0341 memory: 24011 grad_norm: 4.4266 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1081 loss: 1.1081 2022/08/04 22:20:14 - mmengine - INFO - Epoch(train) [28][440/940] lr: 1.0000e-02 eta: 12:08:32 time: 0.6218 data_time: 0.0338 memory: 24011 grad_norm: 4.2880 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0746 loss: 1.0746 2022/08/04 22:20:27 - mmengine - INFO - Epoch(train) [28][460/940] lr: 1.0000e-02 eta: 12:08:18 time: 0.6303 data_time: 0.0411 memory: 24011 grad_norm: 4.6146 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1216 loss: 1.1216 2022/08/04 22:20:39 - mmengine - INFO - Epoch(train) [28][480/940] lr: 1.0000e-02 eta: 12:08:04 time: 0.6072 data_time: 0.0344 memory: 24011 grad_norm: 4.3846 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0510 loss: 1.0510 2022/08/04 22:20:51 - mmengine - INFO - Epoch(train) [28][500/940] lr: 1.0000e-02 eta: 12:07:49 time: 0.6050 data_time: 0.0342 memory: 24011 grad_norm: 4.1432 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0068 loss: 1.0068 2022/08/04 22:21:03 - mmengine - INFO - Epoch(train) [28][520/940] lr: 1.0000e-02 eta: 12:07:34 time: 0.5984 data_time: 0.0371 memory: 24011 grad_norm: 4.4169 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0225 loss: 1.0225 2022/08/04 22:21:16 - mmengine - INFO - Epoch(train) [28][540/940] lr: 1.0000e-02 eta: 12:07:21 time: 0.6426 data_time: 0.0390 memory: 24011 grad_norm: 4.4359 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.2317 loss: 1.2317 2022/08/04 22:21:29 - mmengine - INFO - Epoch(train) [28][560/940] lr: 1.0000e-02 eta: 12:07:08 time: 0.6423 data_time: 0.0310 memory: 24011 grad_norm: 4.2712 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.9915 loss: 0.9915 2022/08/04 22:21:41 - mmengine - INFO - Epoch(train) [28][580/940] lr: 1.0000e-02 eta: 12:06:54 time: 0.6064 data_time: 0.0376 memory: 24011 grad_norm: 4.5921 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0373 loss: 1.0373 2022/08/04 22:21:54 - mmengine - INFO - Epoch(train) [28][600/940] lr: 1.0000e-02 eta: 12:06:41 time: 0.6379 data_time: 0.0415 memory: 24011 grad_norm: 4.1938 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0568 loss: 1.0568 2022/08/04 22:22:06 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:22:06 - mmengine - INFO - Epoch(train) [28][620/940] lr: 1.0000e-02 eta: 12:06:27 time: 0.6260 data_time: 0.0387 memory: 24011 grad_norm: 4.2577 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1003 loss: 1.1003 2022/08/04 22:22:19 - mmengine - INFO - Epoch(train) [28][640/940] lr: 1.0000e-02 eta: 12:06:14 time: 0.6396 data_time: 0.0327 memory: 24011 grad_norm: 4.4553 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0476 loss: 1.0476 2022/08/04 22:22:31 - mmengine - INFO - Epoch(train) [28][660/940] lr: 1.0000e-02 eta: 12:06:00 time: 0.6063 data_time: 0.0430 memory: 24011 grad_norm: 4.4990 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1035 loss: 1.1035 2022/08/04 22:22:44 - mmengine - INFO - Epoch(train) [28][680/940] lr: 1.0000e-02 eta: 12:05:45 time: 0.6160 data_time: 0.0360 memory: 24011 grad_norm: 4.7484 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.1122 loss: 1.1122 2022/08/04 22:22:56 - mmengine - INFO - Epoch(train) [28][700/940] lr: 1.0000e-02 eta: 12:05:31 time: 0.6018 data_time: 0.0306 memory: 24011 grad_norm: 4.5786 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0612 loss: 1.0612 2022/08/04 22:23:08 - mmengine - INFO - Epoch(train) [28][720/940] lr: 1.0000e-02 eta: 12:05:16 time: 0.6151 data_time: 0.0371 memory: 24011 grad_norm: 4.5726 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0892 loss: 1.0892 2022/08/04 22:23:21 - mmengine - INFO - Epoch(train) [28][740/940] lr: 1.0000e-02 eta: 12:05:04 time: 0.6431 data_time: 0.0350 memory: 24011 grad_norm: 4.2579 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0901 loss: 1.0901 2022/08/04 22:23:33 - mmengine - INFO - Epoch(train) [28][760/940] lr: 1.0000e-02 eta: 12:04:48 time: 0.5879 data_time: 0.0322 memory: 24011 grad_norm: 4.5583 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1295 loss: 1.1295 2022/08/04 22:23:46 - mmengine - INFO - Epoch(train) [28][780/940] lr: 1.0000e-02 eta: 12:04:36 time: 0.6524 data_time: 0.0309 memory: 24011 grad_norm: 4.9056 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2075 loss: 1.2075 2022/08/04 22:23:58 - mmengine - INFO - Epoch(train) [28][800/940] lr: 1.0000e-02 eta: 12:04:22 time: 0.6224 data_time: 0.0317 memory: 24011 grad_norm: 4.6652 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1878 loss: 1.1878 2022/08/04 22:24:10 - mmengine - INFO - Epoch(train) [28][820/940] lr: 1.0000e-02 eta: 12:04:08 time: 0.6112 data_time: 0.0266 memory: 24011 grad_norm: 4.5148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0356 loss: 1.0356 2022/08/04 22:24:23 - mmengine - INFO - Epoch(train) [28][840/940] lr: 1.0000e-02 eta: 12:03:55 time: 0.6406 data_time: 0.0521 memory: 24011 grad_norm: 4.4084 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1432 loss: 1.1432 2022/08/04 22:24:35 - mmengine - INFO - Epoch(train) [28][860/940] lr: 1.0000e-02 eta: 12:03:40 time: 0.5988 data_time: 0.0290 memory: 24011 grad_norm: 4.3860 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1219 loss: 1.1219 2022/08/04 22:24:47 - mmengine - INFO - Epoch(train) [28][880/940] lr: 1.0000e-02 eta: 12:03:25 time: 0.5997 data_time: 0.0307 memory: 24011 grad_norm: 4.9344 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1562 loss: 1.1562 2022/08/04 22:25:00 - mmengine - INFO - Epoch(train) [28][900/940] lr: 1.0000e-02 eta: 12:03:12 time: 0.6271 data_time: 0.0340 memory: 24011 grad_norm: 5.4932 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0634 loss: 1.0634 2022/08/04 22:25:13 - mmengine - INFO - Epoch(train) [28][920/940] lr: 1.0000e-02 eta: 12:03:00 time: 0.6556 data_time: 0.1049 memory: 24011 grad_norm: 4.6700 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1515 loss: 1.1515 2022/08/04 22:25:24 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:25:24 - mmengine - INFO - Epoch(train) [28][940/940] lr: 1.0000e-02 eta: 12:02:42 time: 0.5509 data_time: 0.0399 memory: 24011 grad_norm: 5.3292 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.0643 loss: 1.0643 2022/08/04 22:25:37 - mmengine - INFO - Epoch(val) [28][20/78] eta: 0:00:38 time: 0.6654 data_time: 0.5104 memory: 3625 2022/08/04 22:25:46 - mmengine - INFO - Epoch(val) [28][40/78] eta: 0:00:16 time: 0.4438 data_time: 0.2856 memory: 3625 2022/08/04 22:25:59 - mmengine - INFO - Epoch(val) [28][60/78] eta: 0:00:11 time: 0.6220 data_time: 0.4594 memory: 3625 2022/08/04 22:26:09 - mmengine - INFO - Epoch(val) [28][78/78] acc/top1: 0.7091 acc/top5: 0.8953 acc/mean1: 0.7090 2022/08/04 22:26:27 - mmengine - INFO - Epoch(train) [29][20/940] lr: 1.0000e-02 eta: 12:02:42 time: 0.8879 data_time: 0.2732 memory: 24011 grad_norm: 5.0661 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0854 loss: 1.0854 2022/08/04 22:26:38 - mmengine - INFO - Epoch(train) [29][40/940] lr: 1.0000e-02 eta: 12:02:26 time: 0.5878 data_time: 0.0295 memory: 24011 grad_norm: 4.6027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1508 loss: 1.1508 2022/08/04 22:26:52 - mmengine - INFO - Epoch(train) [29][60/940] lr: 1.0000e-02 eta: 12:02:15 time: 0.6663 data_time: 0.0485 memory: 24011 grad_norm: 5.1730 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1402 loss: 1.1402 2022/08/04 22:27:04 - mmengine - INFO - Epoch(train) [29][80/940] lr: 1.0000e-02 eta: 12:02:01 time: 0.6214 data_time: 0.0297 memory: 24011 grad_norm: 4.8917 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/08/04 22:27:16 - mmengine - INFO - Epoch(train) [29][100/940] lr: 1.0000e-02 eta: 12:01:47 time: 0.6074 data_time: 0.0629 memory: 24011 grad_norm: 4.5918 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1957 loss: 1.1957 2022/08/04 22:27:29 - mmengine - INFO - Epoch(train) [29][120/940] lr: 1.0000e-02 eta: 12:01:33 time: 0.6181 data_time: 0.0722 memory: 24011 grad_norm: 4.3446 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0593 loss: 1.0593 2022/08/04 22:27:42 - mmengine - INFO - Epoch(train) [29][140/940] lr: 1.0000e-02 eta: 12:01:21 time: 0.6700 data_time: 0.0533 memory: 24011 grad_norm: 4.4736 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0993 loss: 1.0993 2022/08/04 22:27:55 - mmengine - INFO - Epoch(train) [29][160/940] lr: 1.0000e-02 eta: 12:01:09 time: 0.6492 data_time: 0.0302 memory: 24011 grad_norm: 4.7054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9713 loss: 0.9713 2022/08/04 22:28:07 - mmengine - INFO - Epoch(train) [29][180/940] lr: 1.0000e-02 eta: 12:00:54 time: 0.6058 data_time: 0.0391 memory: 24011 grad_norm: 4.5952 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1138 loss: 1.1138 2022/08/04 22:28:20 - mmengine - INFO - Epoch(train) [29][200/940] lr: 1.0000e-02 eta: 12:00:41 time: 0.6246 data_time: 0.0289 memory: 24011 grad_norm: 4.9027 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0216 loss: 1.0216 2022/08/04 22:28:32 - mmengine - INFO - Epoch(train) [29][220/940] lr: 1.0000e-02 eta: 12:00:27 time: 0.6250 data_time: 0.0369 memory: 24011 grad_norm: 4.4308 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.9481 loss: 0.9481 2022/08/04 22:28:45 - mmengine - INFO - Epoch(train) [29][240/940] lr: 1.0000e-02 eta: 12:00:14 time: 0.6323 data_time: 0.0352 memory: 24011 grad_norm: 4.5456 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0588 loss: 1.0588 2022/08/04 22:28:57 - mmengine - INFO - Epoch(train) [29][260/940] lr: 1.0000e-02 eta: 12:00:00 time: 0.6219 data_time: 0.0418 memory: 24011 grad_norm: 4.5309 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1534 loss: 1.1534 2022/08/04 22:29:09 - mmengine - INFO - Epoch(train) [29][280/940] lr: 1.0000e-02 eta: 11:59:45 time: 0.5991 data_time: 0.0283 memory: 24011 grad_norm: 6.5703 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1682 loss: 1.1682 2022/08/04 22:29:22 - mmengine - INFO - Epoch(train) [29][300/940] lr: 1.0000e-02 eta: 11:59:32 time: 0.6323 data_time: 0.0391 memory: 24011 grad_norm: 4.9500 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.3220 loss: 1.3220 2022/08/04 22:29:34 - mmengine - INFO - Epoch(train) [29][320/940] lr: 1.0000e-02 eta: 11:59:18 time: 0.6141 data_time: 0.0383 memory: 24011 grad_norm: 5.4735 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.2125 loss: 1.2125 2022/08/04 22:29:47 - mmengine - INFO - Epoch(train) [29][340/940] lr: 1.0000e-02 eta: 11:59:05 time: 0.6453 data_time: 0.0373 memory: 24011 grad_norm: 5.2306 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2086 loss: 1.2086 2022/08/04 22:29:59 - mmengine - INFO - Epoch(train) [29][360/940] lr: 1.0000e-02 eta: 11:58:50 time: 0.5995 data_time: 0.0374 memory: 24011 grad_norm: 5.0904 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1213 loss: 1.1213 2022/08/04 22:30:13 - mmengine - INFO - Epoch(train) [29][380/940] lr: 1.0000e-02 eta: 11:58:39 time: 0.6692 data_time: 0.0382 memory: 24011 grad_norm: 4.8300 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0430 loss: 1.0430 2022/08/04 22:30:25 - mmengine - INFO - Epoch(train) [29][400/940] lr: 1.0000e-02 eta: 11:58:24 time: 0.6007 data_time: 0.0353 memory: 24011 grad_norm: 5.4674 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1911 loss: 1.1911 2022/08/04 22:30:37 - mmengine - INFO - Epoch(train) [29][420/940] lr: 1.0000e-02 eta: 11:58:09 time: 0.5968 data_time: 0.0347 memory: 24011 grad_norm: 4.9933 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0614 loss: 1.0614 2022/08/04 22:30:49 - mmengine - INFO - Epoch(train) [29][440/940] lr: 1.0000e-02 eta: 11:57:56 time: 0.6463 data_time: 0.0345 memory: 24011 grad_norm: 4.8369 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1311 loss: 1.1311 2022/08/04 22:31:02 - mmengine - INFO - Epoch(train) [29][460/940] lr: 1.0000e-02 eta: 11:57:44 time: 0.6454 data_time: 0.0341 memory: 24011 grad_norm: 4.6629 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1989 loss: 1.1989 2022/08/04 22:31:15 - mmengine - INFO - Epoch(train) [29][480/940] lr: 1.0000e-02 eta: 11:57:30 time: 0.6112 data_time: 0.0357 memory: 24011 grad_norm: 4.4626 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0981 loss: 1.0981 2022/08/04 22:31:26 - mmengine - INFO - Epoch(train) [29][500/940] lr: 1.0000e-02 eta: 11:57:14 time: 0.5925 data_time: 0.0323 memory: 24011 grad_norm: 4.6584 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0817 loss: 1.0817 2022/08/04 22:31:39 - mmengine - INFO - Epoch(train) [29][520/940] lr: 1.0000e-02 eta: 11:57:00 time: 0.6143 data_time: 0.0345 memory: 24011 grad_norm: 4.7655 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0247 loss: 1.0247 2022/08/04 22:31:51 - mmengine - INFO - Epoch(train) [29][540/940] lr: 1.0000e-02 eta: 11:56:47 time: 0.6356 data_time: 0.0408 memory: 24011 grad_norm: 4.6951 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1133 loss: 1.1133 2022/08/04 22:32:04 - mmengine - INFO - Epoch(train) [29][560/940] lr: 1.0000e-02 eta: 11:56:34 time: 0.6295 data_time: 0.0433 memory: 24011 grad_norm: 4.4554 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2014 loss: 1.2014 2022/08/04 22:32:16 - mmengine - INFO - Epoch(train) [29][580/940] lr: 1.0000e-02 eta: 11:56:19 time: 0.5980 data_time: 0.0435 memory: 24011 grad_norm: 6.8193 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0612 loss: 1.0612 2022/08/04 22:32:28 - mmengine - INFO - Epoch(train) [29][600/940] lr: 1.0000e-02 eta: 11:56:05 time: 0.6237 data_time: 0.0294 memory: 24011 grad_norm: 5.5857 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1806 loss: 1.1806 2022/08/04 22:32:41 - mmengine - INFO - Epoch(train) [29][620/940] lr: 1.0000e-02 eta: 11:55:52 time: 0.6378 data_time: 0.0449 memory: 24011 grad_norm: 4.8248 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2117 loss: 1.2117 2022/08/04 22:32:54 - mmengine - INFO - Epoch(train) [29][640/940] lr: 1.0000e-02 eta: 11:55:40 time: 0.6433 data_time: 0.0376 memory: 24011 grad_norm: 4.9409 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1916 loss: 1.1916 2022/08/04 22:33:07 - mmengine - INFO - Epoch(train) [29][660/940] lr: 1.0000e-02 eta: 11:55:27 time: 0.6362 data_time: 0.0369 memory: 24011 grad_norm: 4.6059 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/08/04 22:33:19 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:33:19 - mmengine - INFO - Epoch(train) [29][680/940] lr: 1.0000e-02 eta: 11:55:12 time: 0.6080 data_time: 0.0370 memory: 24011 grad_norm: 6.4210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2483 loss: 1.2483 2022/08/04 22:33:31 - mmengine - INFO - Epoch(train) [29][700/940] lr: 1.0000e-02 eta: 11:54:58 time: 0.6172 data_time: 0.0370 memory: 24011 grad_norm: 4.9752 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2770 loss: 1.2770 2022/08/04 22:33:44 - mmengine - INFO - Epoch(train) [29][720/940] lr: 1.0000e-02 eta: 11:54:44 time: 0.6168 data_time: 0.0341 memory: 24011 grad_norm: 5.1503 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1148 loss: 1.1148 2022/08/04 22:33:57 - mmengine - INFO - Epoch(train) [29][740/940] lr: 1.0000e-02 eta: 11:54:32 time: 0.6496 data_time: 0.0382 memory: 24011 grad_norm: 4.9886 top1_acc: 0.5312 top5_acc: 0.8438 loss_cls: 1.1499 loss: 1.1499 2022/08/04 22:34:10 - mmengine - INFO - Epoch(train) [29][760/940] lr: 1.0000e-02 eta: 11:54:19 time: 0.6485 data_time: 0.0359 memory: 24011 grad_norm: 5.0741 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1858 loss: 1.1858 2022/08/04 22:34:22 - mmengine - INFO - Epoch(train) [29][780/940] lr: 1.0000e-02 eta: 11:54:04 time: 0.5955 data_time: 0.0352 memory: 24011 grad_norm: 4.7001 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0992 loss: 1.0992 2022/08/04 22:34:34 - mmengine - INFO - Epoch(train) [29][800/940] lr: 1.0000e-02 eta: 11:53:50 time: 0.6054 data_time: 0.0414 memory: 24011 grad_norm: 4.3325 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1052 loss: 1.1052 2022/08/04 22:34:46 - mmengine - INFO - Epoch(train) [29][820/940] lr: 1.0000e-02 eta: 11:53:37 time: 0.6304 data_time: 0.0326 memory: 24011 grad_norm: 5.6849 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.2460 loss: 1.2460 2022/08/04 22:34:59 - mmengine - INFO - Epoch(train) [29][840/940] lr: 1.0000e-02 eta: 11:53:24 time: 0.6444 data_time: 0.0389 memory: 24011 grad_norm: 5.0746 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2591 loss: 1.2591 2022/08/04 22:35:12 - mmengine - INFO - Epoch(train) [29][860/940] lr: 1.0000e-02 eta: 11:53:10 time: 0.6170 data_time: 0.0394 memory: 24011 grad_norm: 9.0341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2146 loss: 1.2146 2022/08/04 22:35:24 - mmengine - INFO - Epoch(train) [29][880/940] lr: 1.0000e-02 eta: 11:52:57 time: 0.6380 data_time: 0.0373 memory: 24011 grad_norm: 5.1814 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1992 loss: 1.1992 2022/08/04 22:35:37 - mmengine - INFO - Epoch(train) [29][900/940] lr: 1.0000e-02 eta: 11:52:44 time: 0.6311 data_time: 0.0360 memory: 24011 grad_norm: 5.0093 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.3280 loss: 1.3280 2022/08/04 22:35:49 - mmengine - INFO - Epoch(train) [29][920/940] lr: 1.0000e-02 eta: 11:52:29 time: 0.6072 data_time: 0.0367 memory: 24011 grad_norm: 4.8296 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1185 loss: 1.1185 2022/08/04 22:36:00 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:36:00 - mmengine - INFO - Epoch(train) [29][940/940] lr: 1.0000e-02 eta: 11:52:13 time: 0.5696 data_time: 0.0251 memory: 24011 grad_norm: 5.0601 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.2281 loss: 1.2281 2022/08/04 22:36:14 - mmengine - INFO - Epoch(val) [29][20/78] eta: 0:00:38 time: 0.6580 data_time: 0.5025 memory: 3625 2022/08/04 22:36:23 - mmengine - INFO - Epoch(val) [29][40/78] eta: 0:00:17 time: 0.4593 data_time: 0.3051 memory: 3625 2022/08/04 22:36:35 - mmengine - INFO - Epoch(val) [29][60/78] eta: 0:00:11 time: 0.6266 data_time: 0.4750 memory: 3625 2022/08/04 22:36:45 - mmengine - INFO - Epoch(val) [29][78/78] acc/top1: 0.7101 acc/top5: 0.8954 acc/mean1: 0.7099 2022/08/04 22:37:02 - mmengine - INFO - Epoch(train) [30][20/940] lr: 1.0000e-02 eta: 11:52:11 time: 0.8512 data_time: 0.2650 memory: 24011 grad_norm: 4.5057 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1313 loss: 1.1313 2022/08/04 22:37:15 - mmengine - INFO - Epoch(train) [30][40/940] lr: 1.0000e-02 eta: 11:51:58 time: 0.6441 data_time: 0.0423 memory: 24011 grad_norm: 4.7548 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1972 loss: 1.1972 2022/08/04 22:37:27 - mmengine - INFO - Epoch(train) [30][60/940] lr: 1.0000e-02 eta: 11:51:44 time: 0.6149 data_time: 0.0350 memory: 24011 grad_norm: 4.7460 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0714 loss: 1.0714 2022/08/04 22:37:40 - mmengine - INFO - Epoch(train) [30][80/940] lr: 1.0000e-02 eta: 11:51:30 time: 0.6123 data_time: 0.0315 memory: 24011 grad_norm: 4.6433 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.1491 loss: 1.1491 2022/08/04 22:37:53 - mmengine - INFO - Epoch(train) [30][100/940] lr: 1.0000e-02 eta: 11:51:19 time: 0.6761 data_time: 0.0397 memory: 24011 grad_norm: 5.6415 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1381 loss: 1.1381 2022/08/04 22:38:05 - mmengine - INFO - Epoch(train) [30][120/940] lr: 1.0000e-02 eta: 11:51:04 time: 0.6013 data_time: 0.0339 memory: 24011 grad_norm: 4.8669 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1227 loss: 1.1227 2022/08/04 22:38:19 - mmengine - INFO - Epoch(train) [30][140/940] lr: 1.0000e-02 eta: 11:50:53 time: 0.6755 data_time: 0.0390 memory: 24011 grad_norm: 5.9511 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0597 loss: 1.0597 2022/08/04 22:38:31 - mmengine - INFO - Epoch(train) [30][160/940] lr: 1.0000e-02 eta: 11:50:40 time: 0.6356 data_time: 0.0293 memory: 24011 grad_norm: 4.8388 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0933 loss: 1.0933 2022/08/04 22:38:44 - mmengine - INFO - Epoch(train) [30][180/940] lr: 1.0000e-02 eta: 11:50:26 time: 0.6204 data_time: 0.0382 memory: 24011 grad_norm: 5.2097 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0386 loss: 1.0386 2022/08/04 22:38:56 - mmengine - INFO - Epoch(train) [30][200/940] lr: 1.0000e-02 eta: 11:50:12 time: 0.6067 data_time: 0.0377 memory: 24011 grad_norm: 5.1359 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1903 loss: 1.1903 2022/08/04 22:39:09 - mmengine - INFO - Epoch(train) [30][220/940] lr: 1.0000e-02 eta: 11:50:00 time: 0.6647 data_time: 0.0407 memory: 24011 grad_norm: 5.1902 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.0974 loss: 1.0974 2022/08/04 22:39:22 - mmengine - INFO - Epoch(train) [30][240/940] lr: 1.0000e-02 eta: 11:49:46 time: 0.6171 data_time: 0.0367 memory: 24011 grad_norm: 4.9783 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1262 loss: 1.1262 2022/08/04 22:39:34 - mmengine - INFO - Epoch(train) [30][260/940] lr: 1.0000e-02 eta: 11:49:33 time: 0.6339 data_time: 0.0361 memory: 24011 grad_norm: 5.7622 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0232 loss: 1.0232 2022/08/04 22:39:47 - mmengine - INFO - Epoch(train) [30][280/940] lr: 1.0000e-02 eta: 11:49:19 time: 0.6216 data_time: 0.0388 memory: 24011 grad_norm: 5.4154 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.1995 loss: 1.1995 2022/08/04 22:39:59 - mmengine - INFO - Epoch(train) [30][300/940] lr: 1.0000e-02 eta: 11:49:05 time: 0.6199 data_time: 0.0308 memory: 24011 grad_norm: 4.8642 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1807 loss: 1.1807 2022/08/04 22:40:12 - mmengine - INFO - Epoch(train) [30][320/940] lr: 1.0000e-02 eta: 11:48:53 time: 0.6400 data_time: 0.0397 memory: 24011 grad_norm: 4.7659 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1905 loss: 1.1905 2022/08/04 22:40:25 - mmengine - INFO - Epoch(train) [30][340/940] lr: 1.0000e-02 eta: 11:48:40 time: 0.6368 data_time: 0.0334 memory: 24011 grad_norm: 4.7575 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1139 loss: 1.1139 2022/08/04 22:40:36 - mmengine - INFO - Epoch(train) [30][360/940] lr: 1.0000e-02 eta: 11:48:24 time: 0.5869 data_time: 0.0341 memory: 24011 grad_norm: 4.6551 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0353 loss: 1.0353 2022/08/04 22:40:49 - mmengine - INFO - Epoch(train) [30][380/940] lr: 1.0000e-02 eta: 11:48:12 time: 0.6537 data_time: 0.0347 memory: 24011 grad_norm: 5.8798 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2844 loss: 1.2844 2022/08/04 22:41:02 - mmengine - INFO - Epoch(train) [30][400/940] lr: 1.0000e-02 eta: 11:47:58 time: 0.6056 data_time: 0.0539 memory: 24011 grad_norm: 4.8776 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2089 loss: 1.2089 2022/08/04 22:41:14 - mmengine - INFO - Epoch(train) [30][420/940] lr: 1.0000e-02 eta: 11:47:43 time: 0.6055 data_time: 0.0390 memory: 24011 grad_norm: 4.8837 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2042 loss: 1.2042 2022/08/04 22:41:26 - mmengine - INFO - Epoch(train) [30][440/940] lr: 1.0000e-02 eta: 11:47:29 time: 0.6092 data_time: 0.0325 memory: 24011 grad_norm: 4.9025 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.1204 loss: 1.1204 2022/08/04 22:41:38 - mmengine - INFO - Epoch(train) [30][460/940] lr: 1.0000e-02 eta: 11:47:14 time: 0.5903 data_time: 0.0465 memory: 24011 grad_norm: 4.5213 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.1590 loss: 1.1590 2022/08/04 22:41:50 - mmengine - INFO - Epoch(train) [30][480/940] lr: 1.0000e-02 eta: 11:47:00 time: 0.6152 data_time: 0.0387 memory: 24011 grad_norm: 4.6389 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1253 loss: 1.1253 2022/08/04 22:42:03 - mmengine - INFO - Epoch(train) [30][500/940] lr: 1.0000e-02 eta: 11:46:47 time: 0.6386 data_time: 0.0374 memory: 24011 grad_norm: 4.7409 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1907 loss: 1.1907 2022/08/04 22:42:15 - mmengine - INFO - Epoch(train) [30][520/940] lr: 1.0000e-02 eta: 11:46:32 time: 0.5887 data_time: 0.0358 memory: 24011 grad_norm: 5.2771 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1780 loss: 1.1780 2022/08/04 22:42:27 - mmengine - INFO - Epoch(train) [30][540/940] lr: 1.0000e-02 eta: 11:46:17 time: 0.6093 data_time: 0.0361 memory: 24011 grad_norm: 4.7286 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0590 loss: 1.0590 2022/08/04 22:42:39 - mmengine - INFO - Epoch(train) [30][560/940] lr: 1.0000e-02 eta: 11:46:04 time: 0.6356 data_time: 0.0377 memory: 24011 grad_norm: 4.6079 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1584 loss: 1.1584 2022/08/04 22:42:52 - mmengine - INFO - Epoch(train) [30][580/940] lr: 1.0000e-02 eta: 11:45:51 time: 0.6287 data_time: 0.0408 memory: 24011 grad_norm: 4.9077 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0864 loss: 1.0864 2022/08/04 22:43:05 - mmengine - INFO - Epoch(train) [30][600/940] lr: 1.0000e-02 eta: 11:45:38 time: 0.6414 data_time: 0.0393 memory: 24011 grad_norm: 6.0280 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9708 loss: 0.9708 2022/08/04 22:43:18 - mmengine - INFO - Epoch(train) [30][620/940] lr: 1.0000e-02 eta: 11:45:26 time: 0.6503 data_time: 0.0303 memory: 24011 grad_norm: 4.6947 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.2120 loss: 1.2120 2022/08/04 22:43:30 - mmengine - INFO - Epoch(train) [30][640/940] lr: 1.0000e-02 eta: 11:45:12 time: 0.6191 data_time: 0.0404 memory: 24011 grad_norm: 6.9131 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2086 loss: 1.2086 2022/08/04 22:43:43 - mmengine - INFO - Epoch(train) [30][660/940] lr: 1.0000e-02 eta: 11:44:59 time: 0.6366 data_time: 0.0312 memory: 24011 grad_norm: 5.1218 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1808 loss: 1.1808 2022/08/04 22:43:55 - mmengine - INFO - Epoch(train) [30][680/940] lr: 1.0000e-02 eta: 11:44:45 time: 0.6056 data_time: 0.0379 memory: 24011 grad_norm: 4.8357 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0100 loss: 1.0100 2022/08/04 22:44:08 - mmengine - INFO - Epoch(train) [30][700/940] lr: 1.0000e-02 eta: 11:44:31 time: 0.6328 data_time: 0.0366 memory: 24011 grad_norm: 4.4775 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2681 loss: 1.2681 2022/08/04 22:44:20 - mmengine - INFO - Epoch(train) [30][720/940] lr: 1.0000e-02 eta: 11:44:17 time: 0.6060 data_time: 0.0405 memory: 24011 grad_norm: 4.5545 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2908 loss: 1.2908 2022/08/04 22:44:33 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:44:33 - mmengine - INFO - Epoch(train) [30][740/940] lr: 1.0000e-02 eta: 11:44:04 time: 0.6370 data_time: 0.0314 memory: 24011 grad_norm: 4.6276 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.2502 loss: 1.2502 2022/08/04 22:44:45 - mmengine - INFO - Epoch(train) [30][760/940] lr: 1.0000e-02 eta: 11:43:50 time: 0.6040 data_time: 0.0396 memory: 24011 grad_norm: 4.5790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/08/04 22:44:57 - mmengine - INFO - Epoch(train) [30][780/940] lr: 1.0000e-02 eta: 11:43:35 time: 0.6062 data_time: 0.0405 memory: 24011 grad_norm: 5.5018 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1447 loss: 1.1447 2022/08/04 22:45:09 - mmengine - INFO - Epoch(train) [30][800/940] lr: 1.0000e-02 eta: 11:43:22 time: 0.6323 data_time: 0.0370 memory: 24011 grad_norm: 4.9477 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2224 loss: 1.2224 2022/08/04 22:45:22 - mmengine - INFO - Epoch(train) [30][820/940] lr: 1.0000e-02 eta: 11:43:09 time: 0.6295 data_time: 0.0380 memory: 24011 grad_norm: 5.8748 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2325 loss: 1.2325 2022/08/04 22:45:35 - mmengine - INFO - Epoch(train) [30][840/940] lr: 1.0000e-02 eta: 11:42:56 time: 0.6506 data_time: 0.0441 memory: 24011 grad_norm: 4.6942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1635 loss: 1.1635 2022/08/04 22:45:48 - mmengine - INFO - Epoch(train) [30][860/940] lr: 1.0000e-02 eta: 11:42:43 time: 0.6309 data_time: 0.0355 memory: 24011 grad_norm: 4.5593 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2508 loss: 1.2508 2022/08/04 22:46:00 - mmengine - INFO - Epoch(train) [30][880/940] lr: 1.0000e-02 eta: 11:42:30 time: 0.6364 data_time: 0.0491 memory: 24011 grad_norm: 8.4402 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.2521 loss: 1.2521 2022/08/04 22:46:13 - mmengine - INFO - Epoch(train) [30][900/940] lr: 1.0000e-02 eta: 11:42:17 time: 0.6260 data_time: 0.0292 memory: 24011 grad_norm: 5.4306 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2689 loss: 1.2689 2022/08/04 22:46:25 - mmengine - INFO - Epoch(train) [30][920/940] lr: 1.0000e-02 eta: 11:42:03 time: 0.6085 data_time: 0.0334 memory: 24011 grad_norm: 4.8407 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.1211 loss: 1.1211 2022/08/04 22:46:36 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:46:36 - mmengine - INFO - Epoch(train) [30][940/940] lr: 1.0000e-02 eta: 11:41:45 time: 0.5287 data_time: 0.0235 memory: 24011 grad_norm: 6.0995 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 1.3196 loss: 1.3196 2022/08/04 22:46:36 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/04 22:46:55 - mmengine - INFO - Epoch(val) [30][20/78] eta: 0:00:39 time: 0.6735 data_time: 0.5221 memory: 3625 2022/08/04 22:47:03 - mmengine - INFO - Epoch(val) [30][40/78] eta: 0:00:16 time: 0.4336 data_time: 0.2827 memory: 3625 2022/08/04 22:47:16 - mmengine - INFO - Epoch(val) [30][60/78] eta: 0:00:11 time: 0.6183 data_time: 0.4675 memory: 3625 2022/08/04 22:47:25 - mmengine - INFO - Epoch(val) [30][78/78] acc/top1: 0.7080 acc/top5: 0.8928 acc/mean1: 0.7079 2022/08/04 22:47:42 - mmengine - INFO - Epoch(train) [31][20/940] lr: 1.0000e-02 eta: 11:41:42 time: 0.8637 data_time: 0.2345 memory: 24011 grad_norm: 4.9633 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1584 loss: 1.1584 2022/08/04 22:47:54 - mmengine - INFO - Epoch(train) [31][40/940] lr: 1.0000e-02 eta: 11:41:27 time: 0.5995 data_time: 0.0308 memory: 24011 grad_norm: 5.0098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1096 loss: 1.1096 2022/08/04 22:48:07 - mmengine - INFO - Epoch(train) [31][60/940] lr: 1.0000e-02 eta: 11:41:14 time: 0.6357 data_time: 0.0426 memory: 24011 grad_norm: 4.6525 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1018 loss: 1.1018 2022/08/04 22:48:19 - mmengine - INFO - Epoch(train) [31][80/940] lr: 1.0000e-02 eta: 11:41:01 time: 0.6200 data_time: 0.0356 memory: 24011 grad_norm: 4.6119 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0897 loss: 1.0897 2022/08/04 22:48:32 - mmengine - INFO - Epoch(train) [31][100/940] lr: 1.0000e-02 eta: 11:40:47 time: 0.6268 data_time: 0.0362 memory: 24011 grad_norm: 5.2637 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0877 loss: 1.0877 2022/08/04 22:48:44 - mmengine - INFO - Epoch(train) [31][120/940] lr: 1.0000e-02 eta: 11:40:33 time: 0.6076 data_time: 0.0321 memory: 24011 grad_norm: 5.0485 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0394 loss: 1.0394 2022/08/04 22:48:57 - mmengine - INFO - Epoch(train) [31][140/940] lr: 1.0000e-02 eta: 11:40:21 time: 0.6499 data_time: 0.0368 memory: 24011 grad_norm: 4.3890 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0838 loss: 1.0838 2022/08/04 22:49:09 - mmengine - INFO - Epoch(train) [31][160/940] lr: 1.0000e-02 eta: 11:40:06 time: 0.6098 data_time: 0.0345 memory: 24011 grad_norm: 4.4996 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0822 loss: 1.0822 2022/08/04 22:49:22 - mmengine - INFO - Epoch(train) [31][180/940] lr: 1.0000e-02 eta: 11:39:55 time: 0.6579 data_time: 0.0416 memory: 24011 grad_norm: 4.9617 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.2128 loss: 1.2128 2022/08/04 22:49:35 - mmengine - INFO - Epoch(train) [31][200/940] lr: 1.0000e-02 eta: 11:39:42 time: 0.6365 data_time: 0.0309 memory: 24011 grad_norm: 4.5207 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0436 loss: 1.0436 2022/08/04 22:49:48 - mmengine - INFO - Epoch(train) [31][220/940] lr: 1.0000e-02 eta: 11:39:28 time: 0.6262 data_time: 0.0370 memory: 24011 grad_norm: 4.3532 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1140 loss: 1.1140 2022/08/04 22:50:00 - mmengine - INFO - Epoch(train) [31][240/940] lr: 1.0000e-02 eta: 11:39:14 time: 0.6056 data_time: 0.0306 memory: 24011 grad_norm: 4.7423 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1227 loss: 1.1227 2022/08/04 22:50:13 - mmengine - INFO - Epoch(train) [31][260/940] lr: 1.0000e-02 eta: 11:39:02 time: 0.6591 data_time: 0.0336 memory: 24011 grad_norm: 4.3063 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0036 loss: 1.0036 2022/08/04 22:50:25 - mmengine - INFO - Epoch(train) [31][280/940] lr: 1.0000e-02 eta: 11:38:48 time: 0.6084 data_time: 0.0375 memory: 24011 grad_norm: 4.4466 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 1.1433 loss: 1.1433 2022/08/04 22:50:38 - mmengine - INFO - Epoch(train) [31][300/940] lr: 1.0000e-02 eta: 11:38:35 time: 0.6412 data_time: 0.0340 memory: 24011 grad_norm: 5.6636 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1281 loss: 1.1281 2022/08/04 22:50:50 - mmengine - INFO - Epoch(train) [31][320/940] lr: 1.0000e-02 eta: 11:38:21 time: 0.6125 data_time: 0.0399 memory: 24011 grad_norm: 5.4156 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2701 loss: 1.2701 2022/08/04 22:51:03 - mmengine - INFO - Epoch(train) [31][340/940] lr: 1.0000e-02 eta: 11:38:08 time: 0.6434 data_time: 0.0371 memory: 24011 grad_norm: 4.7781 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0734 loss: 1.0734 2022/08/04 22:51:15 - mmengine - INFO - Epoch(train) [31][360/940] lr: 1.0000e-02 eta: 11:37:54 time: 0.6052 data_time: 0.0384 memory: 24011 grad_norm: 4.6112 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1246 loss: 1.1246 2022/08/04 22:51:28 - mmengine - INFO - Epoch(train) [31][380/940] lr: 1.0000e-02 eta: 11:37:41 time: 0.6502 data_time: 0.0318 memory: 24011 grad_norm: 4.5660 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1223 loss: 1.1223 2022/08/04 22:51:41 - mmengine - INFO - Epoch(train) [31][400/940] lr: 1.0000e-02 eta: 11:37:28 time: 0.6153 data_time: 0.0372 memory: 24011 grad_norm: 4.6165 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1656 loss: 1.1656 2022/08/04 22:51:53 - mmengine - INFO - Epoch(train) [31][420/940] lr: 1.0000e-02 eta: 11:37:14 time: 0.6158 data_time: 0.0386 memory: 24011 grad_norm: 4.8838 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1695 loss: 1.1695 2022/08/04 22:52:05 - mmengine - INFO - Epoch(train) [31][440/940] lr: 1.0000e-02 eta: 11:36:59 time: 0.5951 data_time: 0.0475 memory: 24011 grad_norm: 4.7118 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.0859 loss: 1.0859 2022/08/04 22:52:17 - mmengine - INFO - Epoch(train) [31][460/940] lr: 1.0000e-02 eta: 11:36:45 time: 0.6098 data_time: 0.0337 memory: 24011 grad_norm: 5.8223 top1_acc: 0.5625 top5_acc: 0.7812 loss_cls: 1.1154 loss: 1.1154 2022/08/04 22:52:30 - mmengine - INFO - Epoch(train) [31][480/940] lr: 1.0000e-02 eta: 11:36:32 time: 0.6414 data_time: 0.0352 memory: 24011 grad_norm: 5.0121 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0372 loss: 1.0372 2022/08/04 22:52:43 - mmengine - INFO - Epoch(train) [31][500/940] lr: 1.0000e-02 eta: 11:36:19 time: 0.6460 data_time: 0.0348 memory: 24011 grad_norm: 4.7768 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0927 loss: 1.0927 2022/08/04 22:52:55 - mmengine - INFO - Epoch(train) [31][520/940] lr: 1.0000e-02 eta: 11:36:06 time: 0.6252 data_time: 0.0379 memory: 24011 grad_norm: 4.7175 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0148 loss: 1.0148 2022/08/04 22:53:08 - mmengine - INFO - Epoch(train) [31][540/940] lr: 1.0000e-02 eta: 11:35:52 time: 0.6100 data_time: 0.0321 memory: 24011 grad_norm: 4.7469 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.2388 loss: 1.2388 2022/08/04 22:53:20 - mmengine - INFO - Epoch(train) [31][560/940] lr: 1.0000e-02 eta: 11:35:37 time: 0.6030 data_time: 0.0486 memory: 24011 grad_norm: 4.6709 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1815 loss: 1.1815 2022/08/04 22:53:32 - mmengine - INFO - Epoch(train) [31][580/940] lr: 1.0000e-02 eta: 11:35:25 time: 0.6459 data_time: 0.0365 memory: 24011 grad_norm: 4.9656 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.1117 loss: 1.1117 2022/08/04 22:53:45 - mmengine - INFO - Epoch(train) [31][600/940] lr: 1.0000e-02 eta: 11:35:12 time: 0.6465 data_time: 0.0376 memory: 24011 grad_norm: 4.6264 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1196 loss: 1.1196 2022/08/04 22:53:58 - mmengine - INFO - Epoch(train) [31][620/940] lr: 1.0000e-02 eta: 11:34:58 time: 0.6095 data_time: 0.0319 memory: 24011 grad_norm: 4.9458 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 1.0497 loss: 1.0497 2022/08/04 22:54:10 - mmengine - INFO - Epoch(train) [31][640/940] lr: 1.0000e-02 eta: 11:34:44 time: 0.6193 data_time: 0.0356 memory: 24011 grad_norm: 4.9544 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0827 loss: 1.0827 2022/08/04 22:54:23 - mmengine - INFO - Epoch(train) [31][660/940] lr: 1.0000e-02 eta: 11:34:32 time: 0.6536 data_time: 0.0339 memory: 24011 grad_norm: 5.3631 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1537 loss: 1.1537 2022/08/04 22:54:35 - mmengine - INFO - Epoch(train) [31][680/940] lr: 1.0000e-02 eta: 11:34:17 time: 0.5911 data_time: 0.0346 memory: 24011 grad_norm: 5.0957 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.2500 loss: 1.2500 2022/08/04 22:54:47 - mmengine - INFO - Epoch(train) [31][700/940] lr: 1.0000e-02 eta: 11:34:04 time: 0.6227 data_time: 0.0333 memory: 24011 grad_norm: 5.7929 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1088 loss: 1.1088 2022/08/04 22:55:00 - mmengine - INFO - Epoch(train) [31][720/940] lr: 1.0000e-02 eta: 11:33:50 time: 0.6257 data_time: 0.0340 memory: 24011 grad_norm: 6.6176 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.2730 loss: 1.2730 2022/08/04 22:55:13 - mmengine - INFO - Epoch(train) [31][740/940] lr: 1.0000e-02 eta: 11:33:37 time: 0.6284 data_time: 0.0425 memory: 24011 grad_norm: 5.3432 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2209 loss: 1.2209 2022/08/04 22:55:24 - mmengine - INFO - Epoch(train) [31][760/940] lr: 1.0000e-02 eta: 11:33:22 time: 0.5961 data_time: 0.0408 memory: 24011 grad_norm: 4.6756 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0945 loss: 1.0945 2022/08/04 22:55:36 - mmengine - INFO - Epoch(train) [31][780/940] lr: 1.0000e-02 eta: 11:33:07 time: 0.5792 data_time: 0.0365 memory: 24011 grad_norm: 5.1710 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1923 loss: 1.1923 2022/08/04 22:55:48 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:55:48 - mmengine - INFO - Epoch(train) [31][800/940] lr: 1.0000e-02 eta: 11:32:51 time: 0.5798 data_time: 0.0377 memory: 24011 grad_norm: 4.6549 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1216 loss: 1.1216 2022/08/04 22:56:00 - mmengine - INFO - Epoch(train) [31][820/940] lr: 1.0000e-02 eta: 11:32:38 time: 0.6292 data_time: 0.0363 memory: 24011 grad_norm: 4.7461 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1548 loss: 1.1548 2022/08/04 22:56:13 - mmengine - INFO - Epoch(train) [31][840/940] lr: 1.0000e-02 eta: 11:32:26 time: 0.6468 data_time: 0.0390 memory: 24011 grad_norm: 4.6657 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0741 loss: 1.0741 2022/08/04 22:56:26 - mmengine - INFO - Epoch(train) [31][860/940] lr: 1.0000e-02 eta: 11:32:14 time: 0.6569 data_time: 0.0537 memory: 24011 grad_norm: 4.4735 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1014 loss: 1.1014 2022/08/04 22:56:38 - mmengine - INFO - Epoch(train) [31][880/940] lr: 1.0000e-02 eta: 11:31:59 time: 0.6103 data_time: 0.0376 memory: 24011 grad_norm: 4.5994 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.1165 loss: 1.1165 2022/08/04 22:56:50 - mmengine - INFO - Epoch(train) [31][900/940] lr: 1.0000e-02 eta: 11:31:45 time: 0.5933 data_time: 0.0355 memory: 24011 grad_norm: 7.3788 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2511 loss: 1.2511 2022/08/04 22:57:03 - mmengine - INFO - Epoch(train) [31][920/940] lr: 1.0000e-02 eta: 11:31:31 time: 0.6211 data_time: 0.0440 memory: 24011 grad_norm: 5.1148 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.2182 loss: 1.2182 2022/08/04 22:57:14 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 22:57:14 - mmengine - INFO - Epoch(train) [31][940/940] lr: 1.0000e-02 eta: 11:31:16 time: 0.5853 data_time: 0.0318 memory: 24011 grad_norm: 5.3985 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.2594 loss: 1.2594 2022/08/04 22:57:28 - mmengine - INFO - Epoch(val) [31][20/78] eta: 0:00:38 time: 0.6658 data_time: 0.5105 memory: 3625 2022/08/04 22:57:36 - mmengine - INFO - Epoch(val) [31][40/78] eta: 0:00:16 time: 0.4282 data_time: 0.2718 memory: 3625 2022/08/04 22:57:49 - mmengine - INFO - Epoch(val) [31][60/78] eta: 0:00:10 time: 0.6109 data_time: 0.4533 memory: 3625 2022/08/04 22:57:59 - mmengine - INFO - Epoch(val) [31][78/78] acc/top1: 0.7032 acc/top5: 0.8929 acc/mean1: 0.7031 2022/08/04 22:58:17 - mmengine - INFO - Epoch(train) [32][20/940] lr: 1.0000e-02 eta: 11:31:13 time: 0.8650 data_time: 0.2525 memory: 24011 grad_norm: 4.6834 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0525 loss: 1.0525 2022/08/04 22:58:29 - mmengine - INFO - Epoch(train) [32][40/940] lr: 1.0000e-02 eta: 11:30:59 time: 0.6127 data_time: 0.0330 memory: 24011 grad_norm: 4.7223 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.2052 loss: 1.2052 2022/08/04 22:58:42 - mmengine - INFO - Epoch(train) [32][60/940] lr: 1.0000e-02 eta: 11:30:46 time: 0.6398 data_time: 0.0336 memory: 24011 grad_norm: 4.9083 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.2023 loss: 1.2023 2022/08/04 22:58:54 - mmengine - INFO - Epoch(train) [32][80/940] lr: 1.0000e-02 eta: 11:30:33 time: 0.6231 data_time: 0.0539 memory: 24011 grad_norm: 4.5386 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1082 loss: 1.1082 2022/08/04 22:59:08 - mmengine - INFO - Epoch(train) [32][100/940] lr: 1.0000e-02 eta: 11:30:21 time: 0.6683 data_time: 0.0428 memory: 24011 grad_norm: 4.7860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1038 loss: 1.1038 2022/08/04 22:59:20 - mmengine - INFO - Epoch(train) [32][120/940] lr: 1.0000e-02 eta: 11:30:07 time: 0.6195 data_time: 0.0337 memory: 24011 grad_norm: 5.7969 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0763 loss: 1.0763 2022/08/04 22:59:33 - mmengine - INFO - Epoch(train) [32][140/940] lr: 1.0000e-02 eta: 11:29:54 time: 0.6245 data_time: 0.0496 memory: 24011 grad_norm: 4.7127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1225 loss: 1.1225 2022/08/04 22:59:45 - mmengine - INFO - Epoch(train) [32][160/940] lr: 1.0000e-02 eta: 11:29:40 time: 0.6219 data_time: 0.0392 memory: 24011 grad_norm: 4.8964 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9879 loss: 0.9879 2022/08/04 22:59:58 - mmengine - INFO - Epoch(train) [32][180/940] lr: 1.0000e-02 eta: 11:29:28 time: 0.6377 data_time: 0.0361 memory: 24011 grad_norm: 5.3789 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1256 loss: 1.1256 2022/08/04 23:00:10 - mmengine - INFO - Epoch(train) [32][200/940] lr: 1.0000e-02 eta: 11:29:14 time: 0.6205 data_time: 0.0487 memory: 24011 grad_norm: 4.6688 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0483 loss: 1.0483 2022/08/04 23:00:22 - mmengine - INFO - Epoch(train) [32][220/940] lr: 1.0000e-02 eta: 11:28:59 time: 0.5913 data_time: 0.0376 memory: 24011 grad_norm: 4.7001 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.0211 loss: 1.0211 2022/08/04 23:00:34 - mmengine - INFO - Epoch(train) [32][240/940] lr: 1.0000e-02 eta: 11:28:45 time: 0.6146 data_time: 0.0440 memory: 24011 grad_norm: 4.9456 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0729 loss: 1.0729 2022/08/04 23:00:47 - mmengine - INFO - Epoch(train) [32][260/940] lr: 1.0000e-02 eta: 11:28:32 time: 0.6231 data_time: 0.0403 memory: 24011 grad_norm: 5.1041 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0549 loss: 1.0549 2022/08/04 23:00:59 - mmengine - INFO - Epoch(train) [32][280/940] lr: 1.0000e-02 eta: 11:28:19 time: 0.6332 data_time: 0.0724 memory: 24011 grad_norm: 4.5994 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1594 loss: 1.1594 2022/08/04 23:01:12 - mmengine - INFO - Epoch(train) [32][300/940] lr: 1.0000e-02 eta: 11:28:06 time: 0.6415 data_time: 0.0689 memory: 24011 grad_norm: 4.9256 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0285 loss: 1.0285 2022/08/04 23:01:25 - mmengine - INFO - Epoch(train) [32][320/940] lr: 1.0000e-02 eta: 11:27:53 time: 0.6339 data_time: 0.0786 memory: 24011 grad_norm: 4.7860 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0999 loss: 1.0999 2022/08/04 23:01:38 - mmengine - INFO - Epoch(train) [32][340/940] lr: 1.0000e-02 eta: 11:27:40 time: 0.6381 data_time: 0.0680 memory: 24011 grad_norm: 5.6806 top1_acc: 0.5312 top5_acc: 0.8750 loss_cls: 1.0885 loss: 1.0885 2022/08/04 23:01:51 - mmengine - INFO - Epoch(train) [32][360/940] lr: 1.0000e-02 eta: 11:27:28 time: 0.6577 data_time: 0.0933 memory: 24011 grad_norm: 4.7224 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0977 loss: 1.0977 2022/08/04 23:02:04 - mmengine - INFO - Epoch(train) [32][380/940] lr: 1.0000e-02 eta: 11:27:16 time: 0.6561 data_time: 0.0799 memory: 24011 grad_norm: 6.3394 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1687 loss: 1.1687 2022/08/04 23:02:16 - mmengine - INFO - Epoch(train) [32][400/940] lr: 1.0000e-02 eta: 11:27:02 time: 0.6209 data_time: 0.0712 memory: 24011 grad_norm: 5.4441 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1361 loss: 1.1361 2022/08/04 23:02:29 - mmengine - INFO - Epoch(train) [32][420/940] lr: 1.0000e-02 eta: 11:26:49 time: 0.6222 data_time: 0.0513 memory: 24011 grad_norm: 5.2625 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.3224 loss: 1.3224 2022/08/04 23:02:41 - mmengine - INFO - Epoch(train) [32][440/940] lr: 1.0000e-02 eta: 11:26:36 time: 0.6297 data_time: 0.0755 memory: 24011 grad_norm: 4.7185 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1812 loss: 1.1812 2022/08/04 23:02:53 - mmengine - INFO - Epoch(train) [32][460/940] lr: 1.0000e-02 eta: 11:26:21 time: 0.6009 data_time: 0.0468 memory: 24011 grad_norm: 4.9276 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0508 loss: 1.0508 2022/08/04 23:03:05 - mmengine - INFO - Epoch(train) [32][480/940] lr: 1.0000e-02 eta: 11:26:06 time: 0.5794 data_time: 0.0287 memory: 24011 grad_norm: 4.6880 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1646 loss: 1.1646 2022/08/04 23:03:17 - mmengine - INFO - Epoch(train) [32][500/940] lr: 1.0000e-02 eta: 11:25:51 time: 0.6045 data_time: 0.0585 memory: 24011 grad_norm: 4.7297 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0762 loss: 1.0762 2022/08/04 23:03:29 - mmengine - INFO - Epoch(train) [32][520/940] lr: 1.0000e-02 eta: 11:25:36 time: 0.5883 data_time: 0.0370 memory: 24011 grad_norm: 5.3437 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1206 loss: 1.1206 2022/08/04 23:03:42 - mmengine - INFO - Epoch(train) [32][540/940] lr: 1.0000e-02 eta: 11:25:24 time: 0.6471 data_time: 0.0490 memory: 24011 grad_norm: 4.9521 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 1.0763 loss: 1.0763 2022/08/04 23:03:54 - mmengine - INFO - Epoch(train) [32][560/940] lr: 1.0000e-02 eta: 11:25:10 time: 0.6137 data_time: 0.0303 memory: 24011 grad_norm: 5.0947 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1043 loss: 1.1043 2022/08/04 23:04:06 - mmengine - INFO - Epoch(train) [32][580/940] lr: 1.0000e-02 eta: 11:24:56 time: 0.6215 data_time: 0.0379 memory: 24011 grad_norm: 4.4889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1919 loss: 1.1919 2022/08/04 23:04:20 - mmengine - INFO - Epoch(train) [32][600/940] lr: 1.0000e-02 eta: 11:24:44 time: 0.6562 data_time: 0.0726 memory: 24011 grad_norm: 4.9553 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0424 loss: 1.0424 2022/08/04 23:04:32 - mmengine - INFO - Epoch(train) [32][620/940] lr: 1.0000e-02 eta: 11:24:30 time: 0.6031 data_time: 0.0366 memory: 24011 grad_norm: 5.1066 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0416 loss: 1.0416 2022/08/04 23:04:44 - mmengine - INFO - Epoch(train) [32][640/940] lr: 1.0000e-02 eta: 11:24:17 time: 0.6349 data_time: 0.0316 memory: 24011 grad_norm: 4.5649 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0813 loss: 1.0813 2022/08/04 23:04:57 - mmengine - INFO - Epoch(train) [32][660/940] lr: 1.0000e-02 eta: 11:24:03 time: 0.6119 data_time: 0.0473 memory: 24011 grad_norm: 4.8141 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1670 loss: 1.1670 2022/08/04 23:05:09 - mmengine - INFO - Epoch(train) [32][680/940] lr: 1.0000e-02 eta: 11:23:49 time: 0.6204 data_time: 0.0297 memory: 24011 grad_norm: 4.9611 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9902 loss: 0.9902 2022/08/04 23:05:22 - mmengine - INFO - Epoch(train) [32][700/940] lr: 1.0000e-02 eta: 11:23:36 time: 0.6290 data_time: 0.0362 memory: 24011 grad_norm: 4.7667 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1808 loss: 1.1808 2022/08/04 23:05:34 - mmengine - INFO - Epoch(train) [32][720/940] lr: 1.0000e-02 eta: 11:23:22 time: 0.6034 data_time: 0.0336 memory: 24011 grad_norm: 4.7850 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0273 loss: 1.0273 2022/08/04 23:05:46 - mmengine - INFO - Epoch(train) [32][740/940] lr: 1.0000e-02 eta: 11:23:09 time: 0.6305 data_time: 0.0457 memory: 24011 grad_norm: 5.2672 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0064 loss: 1.0064 2022/08/04 23:05:59 - mmengine - INFO - Epoch(train) [32][760/940] lr: 1.0000e-02 eta: 11:22:56 time: 0.6454 data_time: 0.0348 memory: 24011 grad_norm: 4.6737 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0988 loss: 1.0988 2022/08/04 23:06:11 - mmengine - INFO - Epoch(train) [32][780/940] lr: 1.0000e-02 eta: 11:22:42 time: 0.6058 data_time: 0.0324 memory: 24011 grad_norm: 4.4085 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.0577 loss: 1.0577 2022/08/04 23:06:24 - mmengine - INFO - Epoch(train) [32][800/940] lr: 1.0000e-02 eta: 11:22:30 time: 0.6474 data_time: 0.0277 memory: 24011 grad_norm: 4.6954 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0451 loss: 1.0451 2022/08/04 23:06:37 - mmengine - INFO - Epoch(train) [32][820/940] lr: 1.0000e-02 eta: 11:22:16 time: 0.6157 data_time: 0.0412 memory: 24011 grad_norm: 4.8608 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0859 loss: 1.0859 2022/08/04 23:06:49 - mmengine - INFO - Epoch(train) [32][840/940] lr: 1.0000e-02 eta: 11:22:01 time: 0.5977 data_time: 0.0285 memory: 24011 grad_norm: 5.1680 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9611 loss: 0.9611 2022/08/04 23:07:01 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:07:01 - mmengine - INFO - Epoch(train) [32][860/940] lr: 1.0000e-02 eta: 11:21:48 time: 0.6233 data_time: 0.0426 memory: 24011 grad_norm: 5.3528 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1861 loss: 1.1861 2022/08/04 23:07:14 - mmengine - INFO - Epoch(train) [32][880/940] lr: 1.0000e-02 eta: 11:21:35 time: 0.6335 data_time: 0.0267 memory: 24011 grad_norm: 4.8551 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1420 loss: 1.1420 2022/08/04 23:07:26 - mmengine - INFO - Epoch(train) [32][900/940] lr: 1.0000e-02 eta: 11:21:22 time: 0.6429 data_time: 0.0337 memory: 24011 grad_norm: 4.8365 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1282 loss: 1.1282 2022/08/04 23:07:39 - mmengine - INFO - Epoch(train) [32][920/940] lr: 1.0000e-02 eta: 11:21:08 time: 0.6013 data_time: 0.0304 memory: 24011 grad_norm: 4.5766 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.2126 loss: 1.2126 2022/08/04 23:07:50 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:07:50 - mmengine - INFO - Epoch(train) [32][940/940] lr: 1.0000e-02 eta: 11:20:52 time: 0.5637 data_time: 0.0509 memory: 24011 grad_norm: 4.9072 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9962 loss: 0.9962 2022/08/04 23:08:03 - mmengine - INFO - Epoch(val) [32][20/78] eta: 0:00:39 time: 0.6783 data_time: 0.5231 memory: 3625 2022/08/04 23:08:12 - mmengine - INFO - Epoch(val) [32][40/78] eta: 0:00:16 time: 0.4248 data_time: 0.2721 memory: 3625 2022/08/04 23:08:24 - mmengine - INFO - Epoch(val) [32][60/78] eta: 0:00:11 time: 0.6156 data_time: 0.4609 memory: 3625 2022/08/04 23:08:34 - mmengine - INFO - Epoch(val) [32][78/78] acc/top1: 0.7161 acc/top5: 0.8982 acc/mean1: 0.7159 2022/08/04 23:08:52 - mmengine - INFO - Epoch(train) [33][20/940] lr: 1.0000e-02 eta: 11:20:49 time: 0.8816 data_time: 0.2719 memory: 24011 grad_norm: 5.3483 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.2036 loss: 1.2036 2022/08/04 23:09:04 - mmengine - INFO - Epoch(train) [33][40/940] lr: 1.0000e-02 eta: 11:20:35 time: 0.6046 data_time: 0.0317 memory: 24011 grad_norm: 5.0092 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9976 loss: 0.9976 2022/08/04 23:09:17 - mmengine - INFO - Epoch(train) [33][60/940] lr: 1.0000e-02 eta: 11:20:22 time: 0.6438 data_time: 0.0374 memory: 24011 grad_norm: 4.7882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0280 loss: 1.0280 2022/08/04 23:09:29 - mmengine - INFO - Epoch(train) [33][80/940] lr: 1.0000e-02 eta: 11:20:08 time: 0.5983 data_time: 0.0281 memory: 24011 grad_norm: 4.3868 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.9510 loss: 0.9510 2022/08/04 23:09:42 - mmengine - INFO - Epoch(train) [33][100/940] lr: 1.0000e-02 eta: 11:19:55 time: 0.6356 data_time: 0.0576 memory: 24011 grad_norm: 5.1805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/08/04 23:09:54 - mmengine - INFO - Epoch(train) [33][120/940] lr: 1.0000e-02 eta: 11:19:42 time: 0.6235 data_time: 0.0280 memory: 24011 grad_norm: 5.3068 top1_acc: 0.5625 top5_acc: 0.9688 loss_cls: 0.8756 loss: 0.8756 2022/08/04 23:10:08 - mmengine - INFO - Epoch(train) [33][140/940] lr: 1.0000e-02 eta: 11:19:30 time: 0.6675 data_time: 0.0421 memory: 24011 grad_norm: 4.3902 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1158 loss: 1.1158 2022/08/04 23:10:20 - mmengine - INFO - Epoch(train) [33][160/940] lr: 1.0000e-02 eta: 11:19:16 time: 0.6216 data_time: 0.0284 memory: 24011 grad_norm: 4.6891 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0419 loss: 1.0419 2022/08/04 23:10:32 - mmengine - INFO - Epoch(train) [33][180/940] lr: 1.0000e-02 eta: 11:19:03 time: 0.6237 data_time: 0.0366 memory: 24011 grad_norm: 4.8067 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.1469 loss: 1.1469 2022/08/04 23:10:45 - mmengine - INFO - Epoch(train) [33][200/940] lr: 1.0000e-02 eta: 11:18:49 time: 0.6125 data_time: 0.0292 memory: 24011 grad_norm: 4.7829 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0838 loss: 1.0838 2022/08/04 23:10:58 - mmengine - INFO - Epoch(train) [33][220/940] lr: 1.0000e-02 eta: 11:18:37 time: 0.6486 data_time: 0.0348 memory: 24011 grad_norm: 5.1739 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0247 loss: 1.0247 2022/08/04 23:11:10 - mmengine - INFO - Epoch(train) [33][240/940] lr: 1.0000e-02 eta: 11:18:22 time: 0.5943 data_time: 0.0387 memory: 24011 grad_norm: 5.1485 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0745 loss: 1.0745 2022/08/04 23:11:22 - mmengine - INFO - Epoch(train) [33][260/940] lr: 1.0000e-02 eta: 11:18:09 time: 0.6431 data_time: 0.0386 memory: 24011 grad_norm: 4.6829 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9717 loss: 0.9717 2022/08/04 23:11:35 - mmengine - INFO - Epoch(train) [33][280/940] lr: 1.0000e-02 eta: 11:17:57 time: 0.6397 data_time: 0.0369 memory: 24011 grad_norm: 4.5832 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0641 loss: 1.0641 2022/08/04 23:11:47 - mmengine - INFO - Epoch(train) [33][300/940] lr: 1.0000e-02 eta: 11:17:43 time: 0.6080 data_time: 0.0357 memory: 24011 grad_norm: 5.0427 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0876 loss: 1.0876 2022/08/04 23:11:59 - mmengine - INFO - Epoch(train) [33][320/940] lr: 1.0000e-02 eta: 11:17:28 time: 0.5871 data_time: 0.0393 memory: 24011 grad_norm: 4.8336 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0104 loss: 1.0104 2022/08/04 23:12:12 - mmengine - INFO - Epoch(train) [33][340/940] lr: 1.0000e-02 eta: 11:17:15 time: 0.6449 data_time: 0.0318 memory: 24011 grad_norm: 4.9650 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1841 loss: 1.1841 2022/08/04 23:12:24 - mmengine - INFO - Epoch(train) [33][360/940] lr: 1.0000e-02 eta: 11:17:01 time: 0.6029 data_time: 0.0405 memory: 24011 grad_norm: 5.0602 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.0572 loss: 1.0572 2022/08/04 23:12:37 - mmengine - INFO - Epoch(train) [33][380/940] lr: 1.0000e-02 eta: 11:16:49 time: 0.6588 data_time: 0.0376 memory: 24011 grad_norm: 5.4231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0158 loss: 1.0158 2022/08/04 23:12:50 - mmengine - INFO - Epoch(train) [33][400/940] lr: 1.0000e-02 eta: 11:16:35 time: 0.6150 data_time: 0.0355 memory: 24011 grad_norm: 5.0065 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1785 loss: 1.1785 2022/08/04 23:13:02 - mmengine - INFO - Epoch(train) [33][420/940] lr: 1.0000e-02 eta: 11:16:22 time: 0.6237 data_time: 0.0348 memory: 24011 grad_norm: 5.1302 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.9994 loss: 0.9994 2022/08/04 23:13:14 - mmengine - INFO - Epoch(train) [33][440/940] lr: 1.0000e-02 eta: 11:16:07 time: 0.6044 data_time: 0.0354 memory: 24011 grad_norm: 6.1300 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.2085 loss: 1.2085 2022/08/04 23:13:26 - mmengine - INFO - Epoch(train) [33][460/940] lr: 1.0000e-02 eta: 11:15:54 time: 0.6145 data_time: 0.0385 memory: 24011 grad_norm: 5.4180 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1607 loss: 1.1607 2022/08/04 23:13:39 - mmengine - INFO - Epoch(train) [33][480/940] lr: 1.0000e-02 eta: 11:15:39 time: 0.6030 data_time: 0.0366 memory: 24011 grad_norm: 5.4488 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/08/04 23:13:51 - mmengine - INFO - Epoch(train) [33][500/940] lr: 1.0000e-02 eta: 11:15:25 time: 0.6142 data_time: 0.0451 memory: 24011 grad_norm: 5.2701 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1262 loss: 1.1262 2022/08/04 23:14:03 - mmengine - INFO - Epoch(train) [33][520/940] lr: 1.0000e-02 eta: 11:15:12 time: 0.6298 data_time: 0.0363 memory: 24011 grad_norm: 4.9727 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0766 loss: 1.0766 2022/08/04 23:14:16 - mmengine - INFO - Epoch(train) [33][540/940] lr: 1.0000e-02 eta: 11:15:00 time: 0.6482 data_time: 0.0402 memory: 24011 grad_norm: 4.9630 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0660 loss: 1.0660 2022/08/04 23:14:29 - mmengine - INFO - Epoch(train) [33][560/940] lr: 1.0000e-02 eta: 11:14:47 time: 0.6297 data_time: 0.0331 memory: 24011 grad_norm: 5.0795 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1927 loss: 1.1927 2022/08/04 23:14:41 - mmengine - INFO - Epoch(train) [33][580/940] lr: 1.0000e-02 eta: 11:14:32 time: 0.5990 data_time: 0.0343 memory: 24011 grad_norm: 5.3391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0077 loss: 1.0077 2022/08/04 23:14:53 - mmengine - INFO - Epoch(train) [33][600/940] lr: 1.0000e-02 eta: 11:14:17 time: 0.5866 data_time: 0.0403 memory: 24011 grad_norm: 6.2792 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2356 loss: 1.2356 2022/08/04 23:15:06 - mmengine - INFO - Epoch(train) [33][620/940] lr: 1.0000e-02 eta: 11:14:05 time: 0.6588 data_time: 0.0346 memory: 24011 grad_norm: 5.2957 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0423 loss: 1.0423 2022/08/04 23:15:18 - mmengine - INFO - Epoch(train) [33][640/940] lr: 1.0000e-02 eta: 11:13:52 time: 0.6252 data_time: 0.0396 memory: 24011 grad_norm: 5.2346 top1_acc: 0.5938 top5_acc: 0.7188 loss_cls: 1.2020 loss: 1.2020 2022/08/04 23:15:31 - mmengine - INFO - Epoch(train) [33][660/940] lr: 1.0000e-02 eta: 11:13:39 time: 0.6317 data_time: 0.0319 memory: 24011 grad_norm: 5.2521 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1307 loss: 1.1307 2022/08/04 23:15:43 - mmengine - INFO - Epoch(train) [33][680/940] lr: 1.0000e-02 eta: 11:13:25 time: 0.6045 data_time: 0.0355 memory: 24011 grad_norm: 5.3443 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0325 loss: 1.0325 2022/08/04 23:15:55 - mmengine - INFO - Epoch(train) [33][700/940] lr: 1.0000e-02 eta: 11:13:10 time: 0.6002 data_time: 0.0383 memory: 24011 grad_norm: 5.2964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1124 loss: 1.1124 2022/08/04 23:16:07 - mmengine - INFO - Epoch(train) [33][720/940] lr: 1.0000e-02 eta: 11:12:56 time: 0.6041 data_time: 0.0414 memory: 24011 grad_norm: 5.4368 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1024 loss: 1.1024 2022/08/04 23:16:19 - mmengine - INFO - Epoch(train) [33][740/940] lr: 1.0000e-02 eta: 11:12:42 time: 0.5960 data_time: 0.0396 memory: 24011 grad_norm: 4.9330 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0830 loss: 1.0830 2022/08/04 23:16:32 - mmengine - INFO - Epoch(train) [33][760/940] lr: 1.0000e-02 eta: 11:12:29 time: 0.6405 data_time: 0.0421 memory: 24011 grad_norm: 5.5951 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1159 loss: 1.1159 2022/08/04 23:16:45 - mmengine - INFO - Epoch(train) [33][780/940] lr: 1.0000e-02 eta: 11:12:16 time: 0.6312 data_time: 0.0346 memory: 24011 grad_norm: 5.1589 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1820 loss: 1.1820 2022/08/04 23:16:57 - mmengine - INFO - Epoch(train) [33][800/940] lr: 1.0000e-02 eta: 11:12:03 time: 0.6419 data_time: 0.0383 memory: 24011 grad_norm: 6.1766 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 1.0153 loss: 1.0153 2022/08/04 23:17:09 - mmengine - INFO - Epoch(train) [33][820/940] lr: 1.0000e-02 eta: 11:11:49 time: 0.6032 data_time: 0.0331 memory: 24011 grad_norm: 5.3224 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 1.1581 loss: 1.1581 2022/08/04 23:17:21 - mmengine - INFO - Epoch(train) [33][840/940] lr: 1.0000e-02 eta: 11:11:34 time: 0.5977 data_time: 0.0413 memory: 24011 grad_norm: 5.0310 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2314 loss: 1.2314 2022/08/04 23:17:34 - mmengine - INFO - Epoch(train) [33][860/940] lr: 1.0000e-02 eta: 11:11:21 time: 0.6298 data_time: 0.0337 memory: 24011 grad_norm: 4.7824 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0719 loss: 1.0719 2022/08/04 23:17:47 - mmengine - INFO - Epoch(train) [33][880/940] lr: 1.0000e-02 eta: 11:11:08 time: 0.6362 data_time: 0.0407 memory: 24011 grad_norm: 5.0138 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.2505 loss: 1.2505 2022/08/04 23:17:59 - mmengine - INFO - Epoch(train) [33][900/940] lr: 1.0000e-02 eta: 11:10:55 time: 0.6131 data_time: 0.0292 memory: 24011 grad_norm: 6.3558 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.2196 loss: 1.2196 2022/08/04 23:18:12 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:18:12 - mmengine - INFO - Epoch(train) [33][920/940] lr: 1.0000e-02 eta: 11:10:43 time: 0.6616 data_time: 0.0477 memory: 24011 grad_norm: 5.2936 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1846 loss: 1.1846 2022/08/04 23:18:23 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:18:23 - mmengine - INFO - Epoch(train) [33][940/940] lr: 1.0000e-02 eta: 11:10:25 time: 0.5269 data_time: 0.0289 memory: 24011 grad_norm: 5.1745 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.3281 loss: 1.3281 2022/08/04 23:18:23 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/04 23:18:42 - mmengine - INFO - Epoch(val) [33][20/78] eta: 0:00:39 time: 0.6878 data_time: 0.5355 memory: 3625 2022/08/04 23:18:50 - mmengine - INFO - Epoch(val) [33][40/78] eta: 0:00:16 time: 0.4293 data_time: 0.2764 memory: 3625 2022/08/04 23:19:02 - mmengine - INFO - Epoch(val) [33][60/78] eta: 0:00:10 time: 0.5993 data_time: 0.4468 memory: 3625 2022/08/04 23:19:12 - mmengine - INFO - Epoch(val) [33][78/78] acc/top1: 0.7058 acc/top5: 0.8934 acc/mean1: 0.7057 2022/08/04 23:19:29 - mmengine - INFO - Epoch(train) [34][20/940] lr: 1.0000e-02 eta: 11:10:22 time: 0.8586 data_time: 0.2560 memory: 24011 grad_norm: 5.9770 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0976 loss: 1.0976 2022/08/04 23:19:42 - mmengine - INFO - Epoch(train) [34][40/940] lr: 1.0000e-02 eta: 11:10:09 time: 0.6448 data_time: 0.0377 memory: 24011 grad_norm: 5.4036 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1558 loss: 1.1558 2022/08/04 23:19:54 - mmengine - INFO - Epoch(train) [34][60/940] lr: 1.0000e-02 eta: 11:09:55 time: 0.6148 data_time: 0.0387 memory: 24011 grad_norm: 5.2138 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.0580 loss: 1.0580 2022/08/04 23:20:07 - mmengine - INFO - Epoch(train) [34][80/940] lr: 1.0000e-02 eta: 11:09:42 time: 0.6270 data_time: 0.0348 memory: 24011 grad_norm: 5.1169 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1105 loss: 1.1105 2022/08/04 23:20:19 - mmengine - INFO - Epoch(train) [34][100/940] lr: 1.0000e-02 eta: 11:09:29 time: 0.6298 data_time: 0.0348 memory: 24011 grad_norm: 4.9646 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1834 loss: 1.1834 2022/08/04 23:20:32 - mmengine - INFO - Epoch(train) [34][120/940] lr: 1.0000e-02 eta: 11:09:17 time: 0.6487 data_time: 0.0327 memory: 24011 grad_norm: 5.8680 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1199 loss: 1.1199 2022/08/04 23:20:45 - mmengine - INFO - Epoch(train) [34][140/940] lr: 1.0000e-02 eta: 11:09:03 time: 0.6308 data_time: 0.0485 memory: 24011 grad_norm: 5.1567 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2677 loss: 1.2677 2022/08/04 23:20:57 - mmengine - INFO - Epoch(train) [34][160/940] lr: 1.0000e-02 eta: 11:08:50 time: 0.6302 data_time: 0.0319 memory: 24011 grad_norm: 4.9204 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0878 loss: 1.0878 2022/08/04 23:21:10 - mmengine - INFO - Epoch(train) [34][180/940] lr: 1.0000e-02 eta: 11:08:37 time: 0.6203 data_time: 0.0354 memory: 24011 grad_norm: 6.4494 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1815 loss: 1.1815 2022/08/04 23:21:22 - mmengine - INFO - Epoch(train) [34][200/940] lr: 1.0000e-02 eta: 11:08:23 time: 0.6026 data_time: 0.0318 memory: 24011 grad_norm: 5.6856 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/08/04 23:21:34 - mmengine - INFO - Epoch(train) [34][220/940] lr: 1.0000e-02 eta: 11:08:09 time: 0.6206 data_time: 0.0380 memory: 24011 grad_norm: 5.4356 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1564 loss: 1.1564 2022/08/04 23:21:48 - mmengine - INFO - Epoch(train) [34][240/940] lr: 1.0000e-02 eta: 11:07:58 time: 0.6700 data_time: 0.0361 memory: 24011 grad_norm: 4.7764 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1502 loss: 1.1502 2022/08/04 23:22:00 - mmengine - INFO - Epoch(train) [34][260/940] lr: 1.0000e-02 eta: 11:07:43 time: 0.6062 data_time: 0.0375 memory: 24011 grad_norm: 6.1535 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.2361 loss: 1.2361 2022/08/04 23:22:12 - mmengine - INFO - Epoch(train) [34][280/940] lr: 1.0000e-02 eta: 11:07:30 time: 0.6303 data_time: 0.0475 memory: 24011 grad_norm: 5.3378 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0844 loss: 1.0844 2022/08/04 23:22:25 - mmengine - INFO - Epoch(train) [34][300/940] lr: 1.0000e-02 eta: 11:07:17 time: 0.6140 data_time: 0.0348 memory: 24011 grad_norm: 5.2657 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0327 loss: 1.0327 2022/08/04 23:22:37 - mmengine - INFO - Epoch(train) [34][320/940] lr: 1.0000e-02 eta: 11:07:03 time: 0.6076 data_time: 0.0409 memory: 24011 grad_norm: 4.9045 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0416 loss: 1.0416 2022/08/04 23:22:50 - mmengine - INFO - Epoch(train) [34][340/940] lr: 1.0000e-02 eta: 11:06:50 time: 0.6342 data_time: 0.0329 memory: 24011 grad_norm: 5.8650 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.3278 loss: 1.3278 2022/08/04 23:23:02 - mmengine - INFO - Epoch(train) [34][360/940] lr: 1.0000e-02 eta: 11:06:35 time: 0.5994 data_time: 0.0337 memory: 24011 grad_norm: 4.8545 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1720 loss: 1.1720 2022/08/04 23:23:15 - mmengine - INFO - Epoch(train) [34][380/940] lr: 1.0000e-02 eta: 11:06:23 time: 0.6561 data_time: 0.0379 memory: 24011 grad_norm: 4.6923 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.9967 loss: 0.9967 2022/08/04 23:23:27 - mmengine - INFO - Epoch(train) [34][400/940] lr: 1.0000e-02 eta: 11:06:09 time: 0.6054 data_time: 0.0347 memory: 24011 grad_norm: 4.8014 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0936 loss: 1.0936 2022/08/04 23:23:39 - mmengine - INFO - Epoch(train) [34][420/940] lr: 1.0000e-02 eta: 11:05:56 time: 0.6370 data_time: 0.0394 memory: 24011 grad_norm: 5.2954 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.1362 loss: 1.1362 2022/08/04 23:23:52 - mmengine - INFO - Epoch(train) [34][440/940] lr: 1.0000e-02 eta: 11:05:42 time: 0.6101 data_time: 0.0423 memory: 24011 grad_norm: 4.8192 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.2845 loss: 1.2845 2022/08/04 23:24:04 - mmengine - INFO - Epoch(train) [34][460/940] lr: 1.0000e-02 eta: 11:05:28 time: 0.5921 data_time: 0.0412 memory: 24011 grad_norm: 4.6283 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 1.2671 loss: 1.2671 2022/08/04 23:24:16 - mmengine - INFO - Epoch(train) [34][480/940] lr: 1.0000e-02 eta: 11:05:15 time: 0.6393 data_time: 0.0413 memory: 24011 grad_norm: 5.0680 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0695 loss: 1.0695 2022/08/04 23:24:29 - mmengine - INFO - Epoch(train) [34][500/940] lr: 1.0000e-02 eta: 11:05:01 time: 0.6196 data_time: 0.0356 memory: 24011 grad_norm: 5.2722 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0840 loss: 1.0840 2022/08/04 23:24:42 - mmengine - INFO - Epoch(train) [34][520/940] lr: 1.0000e-02 eta: 11:04:50 time: 0.6703 data_time: 0.0381 memory: 24011 grad_norm: 5.1324 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1454 loss: 1.1454 2022/08/04 23:24:54 - mmengine - INFO - Epoch(train) [34][540/940] lr: 1.0000e-02 eta: 11:04:35 time: 0.5887 data_time: 0.0344 memory: 24011 grad_norm: 5.2396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/08/04 23:25:07 - mmengine - INFO - Epoch(train) [34][560/940] lr: 1.0000e-02 eta: 11:04:23 time: 0.6659 data_time: 0.0368 memory: 24011 grad_norm: 4.9896 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.1689 loss: 1.1689 2022/08/04 23:25:20 - mmengine - INFO - Epoch(train) [34][580/940] lr: 1.0000e-02 eta: 11:04:10 time: 0.6271 data_time: 0.0373 memory: 24011 grad_norm: 4.6663 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0937 loss: 1.0937 2022/08/04 23:25:33 - mmengine - INFO - Epoch(train) [34][600/940] lr: 1.0000e-02 eta: 11:03:58 time: 0.6416 data_time: 0.0381 memory: 24011 grad_norm: 4.9241 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9785 loss: 0.9785 2022/08/04 23:25:45 - mmengine - INFO - Epoch(train) [34][620/940] lr: 1.0000e-02 eta: 11:03:44 time: 0.6074 data_time: 0.0564 memory: 24011 grad_norm: 5.0758 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2552 loss: 1.2552 2022/08/04 23:25:57 - mmengine - INFO - Epoch(train) [34][640/940] lr: 1.0000e-02 eta: 11:03:30 time: 0.6252 data_time: 0.0360 memory: 24011 grad_norm: 5.0859 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1194 loss: 1.1194 2022/08/04 23:26:10 - mmengine - INFO - Epoch(train) [34][660/940] lr: 1.0000e-02 eta: 11:03:17 time: 0.6225 data_time: 0.0371 memory: 24011 grad_norm: 4.8390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1768 loss: 1.1768 2022/08/04 23:26:22 - mmengine - INFO - Epoch(train) [34][680/940] lr: 1.0000e-02 eta: 11:03:04 time: 0.6250 data_time: 0.0324 memory: 24011 grad_norm: 5.5808 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0328 loss: 1.0328 2022/08/04 23:26:34 - mmengine - INFO - Epoch(train) [34][700/940] lr: 1.0000e-02 eta: 11:02:49 time: 0.5917 data_time: 0.0351 memory: 24011 grad_norm: 4.8391 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0614 loss: 1.0614 2022/08/04 23:26:46 - mmengine - INFO - Epoch(train) [34][720/940] lr: 1.0000e-02 eta: 11:02:35 time: 0.5969 data_time: 0.0347 memory: 24011 grad_norm: 4.9670 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1104 loss: 1.1104 2022/08/04 23:26:58 - mmengine - INFO - Epoch(train) [34][740/940] lr: 1.0000e-02 eta: 11:02:20 time: 0.6029 data_time: 0.0353 memory: 24011 grad_norm: 4.8701 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9776 loss: 0.9776 2022/08/04 23:27:11 - mmengine - INFO - Epoch(train) [34][760/940] lr: 1.0000e-02 eta: 11:02:07 time: 0.6236 data_time: 0.0319 memory: 24011 grad_norm: 4.9347 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0769 loss: 1.0769 2022/08/04 23:27:23 - mmengine - INFO - Epoch(train) [34][780/940] lr: 1.0000e-02 eta: 11:01:54 time: 0.6271 data_time: 0.0458 memory: 24011 grad_norm: 5.6200 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.1025 loss: 1.1025 2022/08/04 23:27:36 - mmengine - INFO - Epoch(train) [34][800/940] lr: 1.0000e-02 eta: 11:01:41 time: 0.6482 data_time: 0.0785 memory: 24011 grad_norm: 4.9728 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1678 loss: 1.1678 2022/08/04 23:27:49 - mmengine - INFO - Epoch(train) [34][820/940] lr: 1.0000e-02 eta: 11:01:29 time: 0.6564 data_time: 0.0857 memory: 24011 grad_norm: 5.6117 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1713 loss: 1.1713 2022/08/04 23:28:01 - mmengine - INFO - Epoch(train) [34][840/940] lr: 1.0000e-02 eta: 11:01:15 time: 0.5938 data_time: 0.0277 memory: 24011 grad_norm: 4.9002 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.9981 loss: 0.9981 2022/08/04 23:28:14 - mmengine - INFO - Epoch(train) [34][860/940] lr: 1.0000e-02 eta: 11:01:02 time: 0.6386 data_time: 0.0835 memory: 24011 grad_norm: 4.8544 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0687 loss: 1.0687 2022/08/04 23:28:27 - mmengine - INFO - Epoch(train) [34][880/940] lr: 1.0000e-02 eta: 11:00:50 time: 0.6508 data_time: 0.0779 memory: 24011 grad_norm: 4.9809 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.0497 loss: 1.0497 2022/08/04 23:28:39 - mmengine - INFO - Epoch(train) [34][900/940] lr: 1.0000e-02 eta: 11:00:35 time: 0.5989 data_time: 0.0408 memory: 24011 grad_norm: 4.6469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1356 loss: 1.1356 2022/08/04 23:28:51 - mmengine - INFO - Epoch(train) [34][920/940] lr: 1.0000e-02 eta: 11:00:21 time: 0.6068 data_time: 0.0293 memory: 24011 grad_norm: 4.6915 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1624 loss: 1.1624 2022/08/04 23:29:02 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:29:02 - mmengine - INFO - Epoch(train) [34][940/940] lr: 1.0000e-02 eta: 11:00:06 time: 0.5648 data_time: 0.0354 memory: 24011 grad_norm: 4.8464 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0923 loss: 1.0923 2022/08/04 23:29:16 - mmengine - INFO - Epoch(val) [34][20/78] eta: 0:00:39 time: 0.6757 data_time: 0.5200 memory: 3625 2022/08/04 23:29:25 - mmengine - INFO - Epoch(val) [34][40/78] eta: 0:00:16 time: 0.4373 data_time: 0.2854 memory: 3625 2022/08/04 23:29:37 - mmengine - INFO - Epoch(val) [34][60/78] eta: 0:00:11 time: 0.6250 data_time: 0.4697 memory: 3625 2022/08/04 23:29:47 - mmengine - INFO - Epoch(val) [34][78/78] acc/top1: 0.7106 acc/top5: 0.8981 acc/mean1: 0.7105 2022/08/04 23:30:04 - mmengine - INFO - Epoch(train) [35][20/940] lr: 1.0000e-02 eta: 11:00:01 time: 0.8466 data_time: 0.2795 memory: 24011 grad_norm: 4.4718 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9833 loss: 0.9833 2022/08/04 23:30:17 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:30:17 - mmengine - INFO - Epoch(train) [35][40/940] lr: 1.0000e-02 eta: 10:59:49 time: 0.6603 data_time: 0.0305 memory: 24011 grad_norm: 4.4092 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0175 loss: 1.0175 2022/08/04 23:30:31 - mmengine - INFO - Epoch(train) [35][60/940] lr: 1.0000e-02 eta: 10:59:38 time: 0.6730 data_time: 0.0398 memory: 24011 grad_norm: 4.6272 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9396 loss: 0.9396 2022/08/04 23:30:43 - mmengine - INFO - Epoch(train) [35][80/940] lr: 1.0000e-02 eta: 10:59:24 time: 0.6021 data_time: 0.0296 memory: 24011 grad_norm: 5.0398 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0533 loss: 1.0533 2022/08/04 23:30:56 - mmengine - INFO - Epoch(train) [35][100/940] lr: 1.0000e-02 eta: 10:59:11 time: 0.6423 data_time: 0.0385 memory: 24011 grad_norm: 7.6823 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1714 loss: 1.1714 2022/08/04 23:31:08 - mmengine - INFO - Epoch(train) [35][120/940] lr: 1.0000e-02 eta: 10:58:57 time: 0.6116 data_time: 0.0349 memory: 24011 grad_norm: 5.4576 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2751 loss: 1.2751 2022/08/04 23:31:22 - mmengine - INFO - Epoch(train) [35][140/940] lr: 1.0000e-02 eta: 10:58:47 time: 0.6949 data_time: 0.0345 memory: 24011 grad_norm: 5.2255 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.1672 loss: 1.1672 2022/08/04 23:31:34 - mmengine - INFO - Epoch(train) [35][160/940] lr: 1.0000e-02 eta: 10:58:33 time: 0.6180 data_time: 0.0377 memory: 24011 grad_norm: 5.0466 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1816 loss: 1.1816 2022/08/04 23:31:46 - mmengine - INFO - Epoch(train) [35][180/940] lr: 1.0000e-02 eta: 10:58:19 time: 0.5974 data_time: 0.0407 memory: 24011 grad_norm: 5.0782 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.1191 loss: 1.1191 2022/08/04 23:31:58 - mmengine - INFO - Epoch(train) [35][200/940] lr: 1.0000e-02 eta: 10:58:05 time: 0.6082 data_time: 0.0388 memory: 24011 grad_norm: 4.7883 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0342 loss: 1.0342 2022/08/04 23:32:11 - mmengine - INFO - Epoch(train) [35][220/940] lr: 1.0000e-02 eta: 10:57:51 time: 0.6220 data_time: 0.0400 memory: 24011 grad_norm: 5.0295 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.1356 loss: 1.1356 2022/08/04 23:32:23 - mmengine - INFO - Epoch(train) [35][240/940] lr: 1.0000e-02 eta: 10:57:38 time: 0.6157 data_time: 0.0415 memory: 24011 grad_norm: 5.5950 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0167 loss: 1.0167 2022/08/04 23:32:35 - mmengine - INFO - Epoch(train) [35][260/940] lr: 1.0000e-02 eta: 10:57:23 time: 0.5879 data_time: 0.0385 memory: 24011 grad_norm: 5.6442 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0832 loss: 1.0832 2022/08/04 23:32:47 - mmengine - INFO - Epoch(train) [35][280/940] lr: 1.0000e-02 eta: 10:57:09 time: 0.6107 data_time: 0.0419 memory: 24011 grad_norm: 4.8802 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1715 loss: 1.1715 2022/08/04 23:32:59 - mmengine - INFO - Epoch(train) [35][300/940] lr: 1.0000e-02 eta: 10:56:55 time: 0.6041 data_time: 0.0398 memory: 24011 grad_norm: 5.0105 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1308 loss: 1.1308 2022/08/04 23:33:12 - mmengine - INFO - Epoch(train) [35][320/940] lr: 1.0000e-02 eta: 10:56:42 time: 0.6233 data_time: 0.0394 memory: 24011 grad_norm: 5.0961 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1288 loss: 1.1288 2022/08/04 23:33:25 - mmengine - INFO - Epoch(train) [35][340/940] lr: 1.0000e-02 eta: 10:56:29 time: 0.6419 data_time: 0.0372 memory: 24011 grad_norm: 4.6552 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9946 loss: 0.9946 2022/08/04 23:33:38 - mmengine - INFO - Epoch(train) [35][360/940] lr: 1.0000e-02 eta: 10:56:18 time: 0.6931 data_time: 0.0483 memory: 24011 grad_norm: 4.6218 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1066 loss: 1.1066 2022/08/04 23:33:51 - mmengine - INFO - Epoch(train) [35][380/940] lr: 1.0000e-02 eta: 10:56:06 time: 0.6439 data_time: 0.0346 memory: 24011 grad_norm: 4.5357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9733 loss: 0.9733 2022/08/04 23:34:04 - mmengine - INFO - Epoch(train) [35][400/940] lr: 1.0000e-02 eta: 10:55:52 time: 0.6232 data_time: 0.0388 memory: 24011 grad_norm: 4.7396 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1537 loss: 1.1537 2022/08/04 23:34:15 - mmengine - INFO - Epoch(train) [35][420/940] lr: 1.0000e-02 eta: 10:55:37 time: 0.5788 data_time: 0.0360 memory: 24011 grad_norm: 4.7050 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1145 loss: 1.1145 2022/08/04 23:34:27 - mmengine - INFO - Epoch(train) [35][440/940] lr: 1.0000e-02 eta: 10:55:23 time: 0.5930 data_time: 0.0405 memory: 24011 grad_norm: 5.1434 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0324 loss: 1.0324 2022/08/04 23:34:40 - mmengine - INFO - Epoch(train) [35][460/940] lr: 1.0000e-02 eta: 10:55:10 time: 0.6345 data_time: 0.0479 memory: 24011 grad_norm: 5.3486 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1712 loss: 1.1712 2022/08/04 23:34:52 - mmengine - INFO - Epoch(train) [35][480/940] lr: 1.0000e-02 eta: 10:54:55 time: 0.5863 data_time: 0.0370 memory: 24011 grad_norm: 5.6996 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1882 loss: 1.1882 2022/08/04 23:35:04 - mmengine - INFO - Epoch(train) [35][500/940] lr: 1.0000e-02 eta: 10:54:43 time: 0.6407 data_time: 0.0424 memory: 24011 grad_norm: 5.0565 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1189 loss: 1.1189 2022/08/04 23:35:17 - mmengine - INFO - Epoch(train) [35][520/940] lr: 1.0000e-02 eta: 10:54:30 time: 0.6364 data_time: 0.0374 memory: 24011 grad_norm: 4.7454 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1620 loss: 1.1620 2022/08/04 23:35:30 - mmengine - INFO - Epoch(train) [35][540/940] lr: 1.0000e-02 eta: 10:54:18 time: 0.6560 data_time: 0.0401 memory: 24011 grad_norm: 4.7668 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0152 loss: 1.0152 2022/08/04 23:35:43 - mmengine - INFO - Epoch(train) [35][560/940] lr: 1.0000e-02 eta: 10:54:05 time: 0.6290 data_time: 0.0329 memory: 24011 grad_norm: 4.9482 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1549 loss: 1.1549 2022/08/04 23:35:56 - mmengine - INFO - Epoch(train) [35][580/940] lr: 1.0000e-02 eta: 10:53:52 time: 0.6542 data_time: 0.0393 memory: 24011 grad_norm: 4.7140 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9114 loss: 0.9114 2022/08/04 23:36:08 - mmengine - INFO - Epoch(train) [35][600/940] lr: 1.0000e-02 eta: 10:53:38 time: 0.6026 data_time: 0.0339 memory: 24011 grad_norm: 4.6600 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1159 loss: 1.1159 2022/08/04 23:36:20 - mmengine - INFO - Epoch(train) [35][620/940] lr: 1.0000e-02 eta: 10:53:24 time: 0.6099 data_time: 0.0351 memory: 24011 grad_norm: 4.9276 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1288 loss: 1.1288 2022/08/04 23:36:33 - mmengine - INFO - Epoch(train) [35][640/940] lr: 1.0000e-02 eta: 10:53:11 time: 0.6157 data_time: 0.0328 memory: 24011 grad_norm: 4.9927 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1252 loss: 1.1252 2022/08/04 23:36:45 - mmengine - INFO - Epoch(train) [35][660/940] lr: 1.0000e-02 eta: 10:52:58 time: 0.6373 data_time: 0.0357 memory: 24011 grad_norm: 4.9446 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.1604 loss: 1.1604 2022/08/04 23:36:57 - mmengine - INFO - Epoch(train) [35][680/940] lr: 1.0000e-02 eta: 10:52:44 time: 0.6008 data_time: 0.0391 memory: 24011 grad_norm: 5.8260 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1375 loss: 1.1375 2022/08/04 23:37:10 - mmengine - INFO - Epoch(train) [35][700/940] lr: 1.0000e-02 eta: 10:52:31 time: 0.6416 data_time: 0.0351 memory: 24011 grad_norm: 4.9026 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1009 loss: 1.1009 2022/08/04 23:37:22 - mmengine - INFO - Epoch(train) [35][720/940] lr: 1.0000e-02 eta: 10:52:17 time: 0.5918 data_time: 0.0405 memory: 24011 grad_norm: 5.1845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1658 loss: 1.1658 2022/08/04 23:37:35 - mmengine - INFO - Epoch(train) [35][740/940] lr: 1.0000e-02 eta: 10:52:04 time: 0.6448 data_time: 0.0387 memory: 24011 grad_norm: 4.9572 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0077 loss: 1.0077 2022/08/04 23:37:47 - mmengine - INFO - Epoch(train) [35][760/940] lr: 1.0000e-02 eta: 10:51:50 time: 0.6003 data_time: 0.0397 memory: 24011 grad_norm: 4.9030 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0872 loss: 1.0872 2022/08/04 23:38:00 - mmengine - INFO - Epoch(train) [35][780/940] lr: 1.0000e-02 eta: 10:51:38 time: 0.6562 data_time: 0.0331 memory: 24011 grad_norm: 4.9803 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.9545 loss: 0.9545 2022/08/04 23:38:12 - mmengine - INFO - Epoch(train) [35][800/940] lr: 1.0000e-02 eta: 10:51:24 time: 0.6178 data_time: 0.0457 memory: 24011 grad_norm: 4.5361 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0408 loss: 1.0408 2022/08/04 23:38:24 - mmengine - INFO - Epoch(train) [35][820/940] lr: 1.0000e-02 eta: 10:51:10 time: 0.5896 data_time: 0.0339 memory: 24011 grad_norm: 4.4863 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9517 loss: 0.9517 2022/08/04 23:38:37 - mmengine - INFO - Epoch(train) [35][840/940] lr: 1.0000e-02 eta: 10:50:57 time: 0.6383 data_time: 0.0383 memory: 24011 grad_norm: 4.7229 top1_acc: 0.5938 top5_acc: 0.9062 loss_cls: 1.0824 loss: 1.0824 2022/08/04 23:38:49 - mmengine - INFO - Epoch(train) [35][860/940] lr: 1.0000e-02 eta: 10:50:43 time: 0.6094 data_time: 0.0385 memory: 24011 grad_norm: 4.6581 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0710 loss: 1.0710 2022/08/04 23:39:01 - mmengine - INFO - Epoch(train) [35][880/940] lr: 1.0000e-02 eta: 10:50:29 time: 0.5872 data_time: 0.0341 memory: 24011 grad_norm: 6.4839 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.1685 loss: 1.1685 2022/08/04 23:39:14 - mmengine - INFO - Epoch(train) [35][900/940] lr: 1.0000e-02 eta: 10:50:16 time: 0.6352 data_time: 0.0348 memory: 24011 grad_norm: 5.2501 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.3605 loss: 1.3605 2022/08/04 23:39:27 - mmengine - INFO - Epoch(train) [35][920/940] lr: 1.0000e-02 eta: 10:50:04 time: 0.6738 data_time: 0.0349 memory: 24011 grad_norm: 5.1251 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1364 loss: 1.1364 2022/08/04 23:39:38 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:39:38 - mmengine - INFO - Epoch(train) [35][940/940] lr: 1.0000e-02 eta: 10:49:49 time: 0.5613 data_time: 0.0314 memory: 24011 grad_norm: 5.2263 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0656 loss: 1.0656 2022/08/04 23:39:52 - mmengine - INFO - Epoch(val) [35][20/78] eta: 0:00:39 time: 0.6738 data_time: 0.5189 memory: 3625 2022/08/04 23:40:00 - mmengine - INFO - Epoch(val) [35][40/78] eta: 0:00:16 time: 0.4302 data_time: 0.2778 memory: 3625 2022/08/04 23:40:13 - mmengine - INFO - Epoch(val) [35][60/78] eta: 0:00:11 time: 0.6262 data_time: 0.4732 memory: 3625 2022/08/04 23:40:23 - mmengine - INFO - Epoch(val) [35][78/78] acc/top1: 0.7019 acc/top5: 0.8917 acc/mean1: 0.7018 2022/08/04 23:40:40 - mmengine - INFO - Epoch(train) [36][20/940] lr: 1.0000e-02 eta: 10:49:44 time: 0.8690 data_time: 0.3024 memory: 24011 grad_norm: 4.7235 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0890 loss: 1.0890 2022/08/04 23:40:52 - mmengine - INFO - Epoch(train) [36][40/940] lr: 1.0000e-02 eta: 10:49:30 time: 0.6027 data_time: 0.0312 memory: 24011 grad_norm: 5.0913 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1544 loss: 1.1544 2022/08/04 23:41:05 - mmengine - INFO - Epoch(train) [36][60/940] lr: 1.0000e-02 eta: 10:49:18 time: 0.6481 data_time: 0.0773 memory: 24011 grad_norm: 4.8656 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0446 loss: 1.0446 2022/08/04 23:41:18 - mmengine - INFO - Epoch(train) [36][80/940] lr: 1.0000e-02 eta: 10:49:05 time: 0.6313 data_time: 0.0561 memory: 24011 grad_norm: 6.0199 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 1.0524 loss: 1.0524 2022/08/04 23:41:30 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:41:31 - mmengine - INFO - Epoch(train) [36][100/940] lr: 1.0000e-02 eta: 10:48:52 time: 0.6262 data_time: 0.0534 memory: 24011 grad_norm: 5.0938 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1181 loss: 1.1181 2022/08/04 23:41:43 - mmengine - INFO - Epoch(train) [36][120/940] lr: 1.0000e-02 eta: 10:48:38 time: 0.6234 data_time: 0.0479 memory: 24011 grad_norm: 4.7442 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0827 loss: 1.0827 2022/08/04 23:41:56 - mmengine - INFO - Epoch(train) [36][140/940] lr: 1.0000e-02 eta: 10:48:26 time: 0.6382 data_time: 0.0298 memory: 24011 grad_norm: 4.9938 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9887 loss: 0.9887 2022/08/04 23:42:08 - mmengine - INFO - Epoch(train) [36][160/940] lr: 1.0000e-02 eta: 10:48:13 time: 0.6312 data_time: 0.0336 memory: 24011 grad_norm: 4.9959 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.0680 loss: 1.0680 2022/08/04 23:42:21 - mmengine - INFO - Epoch(train) [36][180/940] lr: 1.0000e-02 eta: 10:47:59 time: 0.6158 data_time: 0.0322 memory: 24011 grad_norm: 6.7004 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.1872 loss: 1.1872 2022/08/04 23:42:33 - mmengine - INFO - Epoch(train) [36][200/940] lr: 1.0000e-02 eta: 10:47:45 time: 0.6156 data_time: 0.0644 memory: 24011 grad_norm: 6.0259 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1876 loss: 1.1876 2022/08/04 23:42:46 - mmengine - INFO - Epoch(train) [36][220/940] lr: 1.0000e-02 eta: 10:47:33 time: 0.6422 data_time: 0.0669 memory: 24011 grad_norm: 5.0622 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.1519 loss: 1.1519 2022/08/04 23:42:58 - mmengine - INFO - Epoch(train) [36][240/940] lr: 1.0000e-02 eta: 10:47:19 time: 0.6155 data_time: 0.0509 memory: 24011 grad_norm: 4.9388 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0475 loss: 1.0475 2022/08/04 23:43:11 - mmengine - INFO - Epoch(train) [36][260/940] lr: 1.0000e-02 eta: 10:47:06 time: 0.6278 data_time: 0.0333 memory: 24011 grad_norm: 4.8106 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.2368 loss: 1.2368 2022/08/04 23:43:23 - mmengine - INFO - Epoch(train) [36][280/940] lr: 1.0000e-02 eta: 10:46:52 time: 0.5940 data_time: 0.0267 memory: 24011 grad_norm: 4.5943 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1028 loss: 1.1028 2022/08/04 23:43:35 - mmengine - INFO - Epoch(train) [36][300/940] lr: 1.0000e-02 eta: 10:46:39 time: 0.6279 data_time: 0.0548 memory: 24011 grad_norm: 4.9473 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0601 loss: 1.0601 2022/08/04 23:43:48 - mmengine - INFO - Epoch(train) [36][320/940] lr: 1.0000e-02 eta: 10:46:25 time: 0.6173 data_time: 0.0621 memory: 24011 grad_norm: 5.6931 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1647 loss: 1.1647 2022/08/04 23:44:01 - mmengine - INFO - Epoch(train) [36][340/940] lr: 1.0000e-02 eta: 10:46:14 time: 0.6934 data_time: 0.1312 memory: 24011 grad_norm: 5.1416 top1_acc: 0.4688 top5_acc: 0.8750 loss_cls: 1.1533 loss: 1.1533 2022/08/04 23:44:14 - mmengine - INFO - Epoch(train) [36][360/940] lr: 1.0000e-02 eta: 10:46:00 time: 0.6093 data_time: 0.0548 memory: 24011 grad_norm: 4.8316 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0846 loss: 1.0846 2022/08/04 23:44:27 - mmengine - INFO - Epoch(train) [36][380/940] lr: 1.0000e-02 eta: 10:45:48 time: 0.6527 data_time: 0.0963 memory: 24011 grad_norm: 4.9322 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0406 loss: 1.0406 2022/08/04 23:44:40 - mmengine - INFO - Epoch(train) [36][400/940] lr: 1.0000e-02 eta: 10:45:36 time: 0.6564 data_time: 0.0984 memory: 24011 grad_norm: 4.8222 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0380 loss: 1.0380 2022/08/04 23:44:52 - mmengine - INFO - Epoch(train) [36][420/940] lr: 1.0000e-02 eta: 10:45:22 time: 0.6062 data_time: 0.0611 memory: 24011 grad_norm: 4.9263 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0221 loss: 1.0221 2022/08/04 23:45:05 - mmengine - INFO - Epoch(train) [36][440/940] lr: 1.0000e-02 eta: 10:45:09 time: 0.6367 data_time: 0.0819 memory: 24011 grad_norm: 4.7007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2230 loss: 1.2230 2022/08/04 23:45:17 - mmengine - INFO - Epoch(train) [36][460/940] lr: 1.0000e-02 eta: 10:44:56 time: 0.6080 data_time: 0.0536 memory: 24011 grad_norm: 4.7747 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1202 loss: 1.1202 2022/08/04 23:45:28 - mmengine - INFO - Epoch(train) [36][480/940] lr: 1.0000e-02 eta: 10:44:41 time: 0.5822 data_time: 0.0329 memory: 24011 grad_norm: 4.8998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0736 loss: 1.0736 2022/08/04 23:45:41 - mmengine - INFO - Epoch(train) [36][500/940] lr: 1.0000e-02 eta: 10:44:28 time: 0.6372 data_time: 0.0712 memory: 24011 grad_norm: 4.8581 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 1.0358 loss: 1.0358 2022/08/04 23:45:53 - mmengine - INFO - Epoch(train) [36][520/940] lr: 1.0000e-02 eta: 10:44:14 time: 0.5992 data_time: 0.0473 memory: 24011 grad_norm: 5.0506 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9958 loss: 0.9958 2022/08/04 23:46:06 - mmengine - INFO - Epoch(train) [36][540/940] lr: 1.0000e-02 eta: 10:44:00 time: 0.6173 data_time: 0.0586 memory: 24011 grad_norm: 4.7447 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1406 loss: 1.1406 2022/08/04 23:46:19 - mmengine - INFO - Epoch(train) [36][560/940] lr: 1.0000e-02 eta: 10:43:48 time: 0.6560 data_time: 0.0952 memory: 24011 grad_norm: 5.0882 top1_acc: 0.5312 top5_acc: 0.7500 loss_cls: 1.0606 loss: 1.0606 2022/08/04 23:46:31 - mmengine - INFO - Epoch(train) [36][580/940] lr: 1.0000e-02 eta: 10:43:35 time: 0.6182 data_time: 0.0361 memory: 24011 grad_norm: 4.7061 top1_acc: 0.5312 top5_acc: 0.9062 loss_cls: 1.2648 loss: 1.2648 2022/08/04 23:46:43 - mmengine - INFO - Epoch(train) [36][600/940] lr: 1.0000e-02 eta: 10:43:21 time: 0.6044 data_time: 0.0319 memory: 24011 grad_norm: 4.5930 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0760 loss: 1.0760 2022/08/04 23:46:56 - mmengine - INFO - Epoch(train) [36][620/940] lr: 1.0000e-02 eta: 10:43:08 time: 0.6284 data_time: 0.0444 memory: 24011 grad_norm: 4.5478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2243 loss: 1.2243 2022/08/04 23:47:08 - mmengine - INFO - Epoch(train) [36][640/940] lr: 1.0000e-02 eta: 10:42:55 time: 0.6347 data_time: 0.0379 memory: 24011 grad_norm: 5.2996 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1875 loss: 1.1875 2022/08/04 23:47:20 - mmengine - INFO - Epoch(train) [36][660/940] lr: 1.0000e-02 eta: 10:42:41 time: 0.5998 data_time: 0.0375 memory: 24011 grad_norm: 5.2143 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.0804 loss: 1.0804 2022/08/04 23:47:33 - mmengine - INFO - Epoch(train) [36][680/940] lr: 1.0000e-02 eta: 10:42:27 time: 0.6296 data_time: 0.0450 memory: 24011 grad_norm: 5.4155 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.1649 loss: 1.1649 2022/08/04 23:47:46 - mmengine - INFO - Epoch(train) [36][700/940] lr: 1.0000e-02 eta: 10:42:15 time: 0.6470 data_time: 0.0664 memory: 24011 grad_norm: 4.8763 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0251 loss: 1.0251 2022/08/04 23:47:58 - mmengine - INFO - Epoch(train) [36][720/940] lr: 1.0000e-02 eta: 10:42:02 time: 0.6251 data_time: 0.0283 memory: 24011 grad_norm: 5.1284 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2286 loss: 1.2286 2022/08/04 23:48:10 - mmengine - INFO - Epoch(train) [36][740/940] lr: 1.0000e-02 eta: 10:41:48 time: 0.6037 data_time: 0.0372 memory: 24011 grad_norm: 5.3527 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0536 loss: 1.0536 2022/08/04 23:48:23 - mmengine - INFO - Epoch(train) [36][760/940] lr: 1.0000e-02 eta: 10:41:35 time: 0.6354 data_time: 0.0299 memory: 24011 grad_norm: 4.9043 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0620 loss: 1.0620 2022/08/04 23:48:36 - mmengine - INFO - Epoch(train) [36][780/940] lr: 1.0000e-02 eta: 10:41:22 time: 0.6215 data_time: 0.0425 memory: 24011 grad_norm: 5.6713 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9407 loss: 0.9407 2022/08/04 23:48:49 - mmengine - INFO - Epoch(train) [36][800/940] lr: 1.0000e-02 eta: 10:41:09 time: 0.6433 data_time: 0.0327 memory: 24011 grad_norm: 5.3525 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0053 loss: 1.0053 2022/08/04 23:49:01 - mmengine - INFO - Epoch(train) [36][820/940] lr: 1.0000e-02 eta: 10:40:55 time: 0.6100 data_time: 0.0404 memory: 24011 grad_norm: 4.9792 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1319 loss: 1.1319 2022/08/04 23:49:14 - mmengine - INFO - Epoch(train) [36][840/940] lr: 1.0000e-02 eta: 10:40:43 time: 0.6522 data_time: 0.0320 memory: 24011 grad_norm: 5.5076 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0936 loss: 1.0936 2022/08/04 23:49:26 - mmengine - INFO - Epoch(train) [36][860/940] lr: 1.0000e-02 eta: 10:40:30 time: 0.6192 data_time: 0.0380 memory: 24011 grad_norm: 5.2130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1154 loss: 1.1154 2022/08/04 23:49:38 - mmengine - INFO - Epoch(train) [36][880/940] lr: 1.0000e-02 eta: 10:40:15 time: 0.5919 data_time: 0.0358 memory: 24011 grad_norm: 5.1895 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1129 loss: 1.1129 2022/08/04 23:49:50 - mmengine - INFO - Epoch(train) [36][900/940] lr: 1.0000e-02 eta: 10:40:02 time: 0.6216 data_time: 0.0471 memory: 24011 grad_norm: 5.7161 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.1140 loss: 1.1140 2022/08/04 23:50:03 - mmengine - INFO - Epoch(train) [36][920/940] lr: 1.0000e-02 eta: 10:39:49 time: 0.6271 data_time: 0.0314 memory: 24011 grad_norm: 5.6680 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1541 loss: 1.1541 2022/08/04 23:50:14 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:50:14 - mmengine - INFO - Epoch(train) [36][940/940] lr: 1.0000e-02 eta: 10:39:33 time: 0.5445 data_time: 0.0244 memory: 24011 grad_norm: 6.2415 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1902 loss: 1.1902 2022/08/04 23:50:14 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/04 23:50:34 - mmengine - INFO - Epoch(val) [36][20/78] eta: 0:00:38 time: 0.6647 data_time: 0.5134 memory: 3625 2022/08/04 23:50:43 - mmengine - INFO - Epoch(val) [36][40/78] eta: 0:00:17 time: 0.4648 data_time: 0.3157 memory: 3625 2022/08/04 23:50:55 - mmengine - INFO - Epoch(val) [36][60/78] eta: 0:00:10 time: 0.5927 data_time: 0.4428 memory: 3625 2022/08/04 23:51:04 - mmengine - INFO - Epoch(val) [36][78/78] acc/top1: 0.7055 acc/top5: 0.8930 acc/mean1: 0.7055 2022/08/04 23:51:23 - mmengine - INFO - Epoch(train) [37][20/940] lr: 1.0000e-02 eta: 10:39:30 time: 0.9359 data_time: 0.2667 memory: 24011 grad_norm: 7.2976 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1486 loss: 1.1486 2022/08/04 23:51:35 - mmengine - INFO - Epoch(train) [37][40/940] lr: 1.0000e-02 eta: 10:39:17 time: 0.6052 data_time: 0.0291 memory: 24011 grad_norm: 5.1248 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 1.1099 loss: 1.1099 2022/08/04 23:51:48 - mmengine - INFO - Epoch(train) [37][60/940] lr: 1.0000e-02 eta: 10:39:04 time: 0.6563 data_time: 0.0411 memory: 24011 grad_norm: 5.5289 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/08/04 23:52:00 - mmengine - INFO - Epoch(train) [37][80/940] lr: 1.0000e-02 eta: 10:38:51 time: 0.6086 data_time: 0.0279 memory: 24011 grad_norm: 7.1137 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2166 loss: 1.2166 2022/08/04 23:52:13 - mmengine - INFO - Epoch(train) [37][100/940] lr: 1.0000e-02 eta: 10:38:38 time: 0.6275 data_time: 0.0388 memory: 24011 grad_norm: 6.2607 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.2061 loss: 1.2061 2022/08/04 23:52:24 - mmengine - INFO - Epoch(train) [37][120/940] lr: 1.0000e-02 eta: 10:38:22 time: 0.5733 data_time: 0.0312 memory: 24011 grad_norm: 5.0152 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.1838 loss: 1.1838 2022/08/04 23:52:37 - mmengine - INFO - Epoch(train) [37][140/940] lr: 1.0000e-02 eta: 10:38:10 time: 0.6338 data_time: 0.0366 memory: 24011 grad_norm: 5.6320 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9753 loss: 0.9753 2022/08/04 23:52:50 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/04 23:52:50 - mmengine - INFO - Epoch(train) [37][160/940] lr: 1.0000e-02 eta: 10:37:57 time: 0.6479 data_time: 0.0445 memory: 24011 grad_norm: 5.1632 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1033 loss: 1.1033 2022/08/04 23:53:02 - mmengine - INFO - Epoch(train) [37][180/940] lr: 1.0000e-02 eta: 10:37:44 time: 0.6136 data_time: 0.0423 memory: 24011 grad_norm: 5.0193 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0719 loss: 1.0719 2022/08/04 23:53:14 - mmengine - INFO - Epoch(train) [37][200/940] lr: 1.0000e-02 eta: 10:37:30 time: 0.6094 data_time: 0.0391 memory: 24011 grad_norm: 5.3862 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0709 loss: 1.0709 2022/08/04 23:53:26 - mmengine - INFO - Epoch(train) [37][220/940] lr: 1.0000e-02 eta: 10:37:16 time: 0.6058 data_time: 0.0438 memory: 24011 grad_norm: 5.0731 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0014 loss: 1.0014 2022/08/04 23:53:39 - mmengine - INFO - Epoch(train) [37][240/940] lr: 1.0000e-02 eta: 10:37:03 time: 0.6471 data_time: 0.0915 memory: 24011 grad_norm: 5.8997 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0797 loss: 1.0797 2022/08/04 23:53:51 - mmengine - INFO - Epoch(train) [37][260/940] lr: 1.0000e-02 eta: 10:36:50 time: 0.6049 data_time: 0.0448 memory: 24011 grad_norm: 5.6120 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2267 loss: 1.2267 2022/08/04 23:54:04 - mmengine - INFO - Epoch(train) [37][280/940] lr: 1.0000e-02 eta: 10:36:37 time: 0.6438 data_time: 0.0715 memory: 24011 grad_norm: 5.3372 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.1318 loss: 1.1318 2022/08/04 23:54:17 - mmengine - INFO - Epoch(train) [37][300/940] lr: 1.0000e-02 eta: 10:36:24 time: 0.6208 data_time: 0.0634 memory: 24011 grad_norm: 4.8191 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0585 loss: 1.0585 2022/08/04 23:54:30 - mmengine - INFO - Epoch(train) [37][320/940] lr: 1.0000e-02 eta: 10:36:12 time: 0.6601 data_time: 0.1066 memory: 24011 grad_norm: 5.3202 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0729 loss: 1.0729 2022/08/04 23:54:42 - mmengine - INFO - Epoch(train) [37][340/940] lr: 1.0000e-02 eta: 10:35:57 time: 0.5901 data_time: 0.0301 memory: 24011 grad_norm: 5.1618 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.2534 loss: 1.2534 2022/08/04 23:54:54 - mmengine - INFO - Epoch(train) [37][360/940] lr: 1.0000e-02 eta: 10:35:44 time: 0.6241 data_time: 0.0737 memory: 24011 grad_norm: 5.0872 top1_acc: 0.6250 top5_acc: 0.9688 loss_cls: 1.1014 loss: 1.1014 2022/08/04 23:55:07 - mmengine - INFO - Epoch(train) [37][380/940] lr: 1.0000e-02 eta: 10:35:31 time: 0.6184 data_time: 0.0460 memory: 24011 grad_norm: 5.0956 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0504 loss: 1.0504 2022/08/04 23:55:19 - mmengine - INFO - Epoch(train) [37][400/940] lr: 1.0000e-02 eta: 10:35:17 time: 0.6169 data_time: 0.0609 memory: 24011 grad_norm: 4.7077 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9744 loss: 0.9744 2022/08/04 23:55:31 - mmengine - INFO - Epoch(train) [37][420/940] lr: 1.0000e-02 eta: 10:35:04 time: 0.6189 data_time: 0.0358 memory: 24011 grad_norm: 5.0905 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0700 loss: 1.0700 2022/08/04 23:55:44 - mmengine - INFO - Epoch(train) [37][440/940] lr: 1.0000e-02 eta: 10:34:51 time: 0.6460 data_time: 0.0554 memory: 24011 grad_norm: 4.9917 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0971 loss: 1.0971 2022/08/04 23:55:57 - mmengine - INFO - Epoch(train) [37][460/940] lr: 1.0000e-02 eta: 10:34:38 time: 0.6188 data_time: 0.0318 memory: 24011 grad_norm: 4.6411 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0250 loss: 1.0250 2022/08/04 23:56:09 - mmengine - INFO - Epoch(train) [37][480/940] lr: 1.0000e-02 eta: 10:34:25 time: 0.6308 data_time: 0.0378 memory: 24011 grad_norm: 4.8434 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9949 loss: 0.9949 2022/08/04 23:56:21 - mmengine - INFO - Epoch(train) [37][500/940] lr: 1.0000e-02 eta: 10:34:11 time: 0.6118 data_time: 0.0317 memory: 24011 grad_norm: 4.9219 top1_acc: 0.6562 top5_acc: 0.7812 loss_cls: 1.1037 loss: 1.1037 2022/08/04 23:56:35 - mmengine - INFO - Epoch(train) [37][520/940] lr: 1.0000e-02 eta: 10:34:00 time: 0.6781 data_time: 0.0356 memory: 24011 grad_norm: 4.6269 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.0451 loss: 1.0451 2022/08/04 23:56:47 - mmengine - INFO - Epoch(train) [37][540/940] lr: 1.0000e-02 eta: 10:33:45 time: 0.5947 data_time: 0.0423 memory: 24011 grad_norm: 4.8323 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.9848 loss: 0.9848 2022/08/04 23:57:00 - mmengine - INFO - Epoch(train) [37][560/940] lr: 1.0000e-02 eta: 10:33:34 time: 0.6772 data_time: 0.0386 memory: 24011 grad_norm: 5.3654 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0900 loss: 1.0900 2022/08/04 23:57:12 - mmengine - INFO - Epoch(train) [37][580/940] lr: 1.0000e-02 eta: 10:33:20 time: 0.5972 data_time: 0.0393 memory: 24011 grad_norm: 4.8560 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1029 loss: 1.1029 2022/08/04 23:57:24 - mmengine - INFO - Epoch(train) [37][600/940] lr: 1.0000e-02 eta: 10:33:06 time: 0.6035 data_time: 0.0348 memory: 24011 grad_norm: 4.7308 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.9818 loss: 0.9818 2022/08/04 23:57:36 - mmengine - INFO - Epoch(train) [37][620/940] lr: 1.0000e-02 eta: 10:32:52 time: 0.6021 data_time: 0.0402 memory: 24011 grad_norm: 5.0830 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0268 loss: 1.0268 2022/08/04 23:57:50 - mmengine - INFO - Epoch(train) [37][640/940] lr: 1.0000e-02 eta: 10:32:40 time: 0.6592 data_time: 0.0368 memory: 24011 grad_norm: 4.4944 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0292 loss: 1.0292 2022/08/04 23:58:02 - mmengine - INFO - Epoch(train) [37][660/940] lr: 1.0000e-02 eta: 10:32:26 time: 0.6119 data_time: 0.0379 memory: 24011 grad_norm: 5.7039 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.1229 loss: 1.1229 2022/08/04 23:58:13 - mmengine - INFO - Epoch(train) [37][680/940] lr: 1.0000e-02 eta: 10:32:11 time: 0.5767 data_time: 0.0402 memory: 24011 grad_norm: 8.2902 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9332 loss: 0.9332 2022/08/04 23:58:25 - mmengine - INFO - Epoch(train) [37][700/940] lr: 1.0000e-02 eta: 10:31:57 time: 0.5792 data_time: 0.0398 memory: 24011 grad_norm: 5.4784 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.2437 loss: 1.2437 2022/08/04 23:58:38 - mmengine - INFO - Epoch(train) [37][720/940] lr: 1.0000e-02 eta: 10:31:45 time: 0.6577 data_time: 0.0532 memory: 24011 grad_norm: 5.1399 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 1.2141 loss: 1.2141 2022/08/04 23:58:50 - mmengine - INFO - Epoch(train) [37][740/940] lr: 1.0000e-02 eta: 10:31:30 time: 0.5823 data_time: 0.0441 memory: 24011 grad_norm: 5.3532 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2034 loss: 1.2034 2022/08/04 23:59:02 - mmengine - INFO - Epoch(train) [37][760/940] lr: 1.0000e-02 eta: 10:31:17 time: 0.6222 data_time: 0.0467 memory: 24011 grad_norm: 7.5142 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.3073 loss: 1.3073 2022/08/04 23:59:15 - mmengine - INFO - Epoch(train) [37][780/940] lr: 1.0000e-02 eta: 10:31:03 time: 0.6170 data_time: 0.0475 memory: 24011 grad_norm: 6.5909 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.2305 loss: 1.2305 2022/08/04 23:59:28 - mmengine - INFO - Epoch(train) [37][800/940] lr: 1.0000e-02 eta: 10:30:51 time: 0.6610 data_time: 0.0365 memory: 24011 grad_norm: 5.0637 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.3100 loss: 1.3100 2022/08/04 23:59:41 - mmengine - INFO - Epoch(train) [37][820/940] lr: 1.0000e-02 eta: 10:30:38 time: 0.6333 data_time: 0.0489 memory: 24011 grad_norm: 4.8193 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1154 loss: 1.1154 2022/08/04 23:59:53 - mmengine - INFO - Epoch(train) [37][840/940] lr: 1.0000e-02 eta: 10:30:26 time: 0.6422 data_time: 0.0326 memory: 24011 grad_norm: 4.8063 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.2233 loss: 1.2233 2022/08/05 00:00:08 - mmengine - INFO - Epoch(train) [37][860/940] lr: 1.0000e-02 eta: 10:30:16 time: 0.7346 data_time: 0.0514 memory: 24011 grad_norm: 5.2032 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.1893 loss: 1.1893 2022/08/05 00:00:20 - mmengine - INFO - Epoch(train) [37][880/940] lr: 1.0000e-02 eta: 10:30:03 time: 0.6214 data_time: 0.0340 memory: 24011 grad_norm: 5.0885 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.0990 loss: 1.0990 2022/08/05 00:00:32 - mmengine - INFO - Epoch(train) [37][900/940] lr: 1.0000e-02 eta: 10:29:49 time: 0.5951 data_time: 0.0365 memory: 24011 grad_norm: 4.7301 top1_acc: 0.6875 top5_acc: 0.7812 loss_cls: 1.1419 loss: 1.1419 2022/08/05 00:00:44 - mmengine - INFO - Epoch(train) [37][920/940] lr: 1.0000e-02 eta: 10:29:34 time: 0.5893 data_time: 0.0414 memory: 24011 grad_norm: 4.7581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1677 loss: 1.1677 2022/08/05 00:00:55 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:00:55 - mmengine - INFO - Epoch(train) [37][940/940] lr: 1.0000e-02 eta: 10:29:19 time: 0.5513 data_time: 0.0263 memory: 24011 grad_norm: 5.1501 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/08/05 00:01:08 - mmengine - INFO - Epoch(val) [37][20/78] eta: 0:00:37 time: 0.6550 data_time: 0.5006 memory: 3625 2022/08/05 00:01:17 - mmengine - INFO - Epoch(val) [37][40/78] eta: 0:00:17 time: 0.4523 data_time: 0.2995 memory: 3625 2022/08/05 00:01:30 - mmengine - INFO - Epoch(val) [37][60/78] eta: 0:00:11 time: 0.6353 data_time: 0.4801 memory: 3625 2022/08/05 00:01:40 - mmengine - INFO - Epoch(val) [37][78/78] acc/top1: 0.7079 acc/top5: 0.8954 acc/mean1: 0.7077 2022/08/05 00:01:58 - mmengine - INFO - Epoch(train) [38][20/940] lr: 1.0000e-02 eta: 10:29:15 time: 0.9097 data_time: 0.2892 memory: 24011 grad_norm: 5.0731 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9995 loss: 0.9995 2022/08/05 00:02:10 - mmengine - INFO - Epoch(train) [38][40/940] lr: 1.0000e-02 eta: 10:29:01 time: 0.6003 data_time: 0.0255 memory: 24011 grad_norm: 4.8184 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9951 loss: 0.9951 2022/08/05 00:02:23 - mmengine - INFO - Epoch(train) [38][60/940] lr: 1.0000e-02 eta: 10:28:48 time: 0.6361 data_time: 0.0465 memory: 24011 grad_norm: 4.8090 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0262 loss: 1.0262 2022/08/05 00:02:35 - mmengine - INFO - Epoch(train) [38][80/940] lr: 1.0000e-02 eta: 10:28:34 time: 0.6030 data_time: 0.0352 memory: 24011 grad_norm: 5.3143 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9998 loss: 0.9998 2022/08/05 00:02:48 - mmengine - INFO - Epoch(train) [38][100/940] lr: 1.0000e-02 eta: 10:28:21 time: 0.6223 data_time: 0.0414 memory: 24011 grad_norm: 5.8492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2033 loss: 1.2033 2022/08/05 00:03:00 - mmengine - INFO - Epoch(train) [38][120/940] lr: 1.0000e-02 eta: 10:28:08 time: 0.6238 data_time: 0.0641 memory: 24011 grad_norm: 5.1568 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0712 loss: 1.0712 2022/08/05 00:03:14 - mmengine - INFO - Epoch(train) [38][140/940] lr: 1.0000e-02 eta: 10:27:56 time: 0.6734 data_time: 0.0866 memory: 24011 grad_norm: 5.0565 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 1.2004 loss: 1.2004 2022/08/05 00:03:25 - mmengine - INFO - Epoch(train) [38][160/940] lr: 1.0000e-02 eta: 10:27:42 time: 0.5889 data_time: 0.0323 memory: 24011 grad_norm: 5.2742 top1_acc: 0.5938 top5_acc: 0.9375 loss_cls: 1.0606 loss: 1.0606 2022/08/05 00:03:38 - mmengine - INFO - Epoch(train) [38][180/940] lr: 1.0000e-02 eta: 10:27:30 time: 0.6513 data_time: 0.0915 memory: 24011 grad_norm: 4.6070 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0628 loss: 1.0628 2022/08/05 00:03:51 - mmengine - INFO - Epoch(train) [38][200/940] lr: 1.0000e-02 eta: 10:27:16 time: 0.6177 data_time: 0.0621 memory: 24011 grad_norm: 4.6046 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9265 loss: 0.9265 2022/08/05 00:04:04 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:04:04 - mmengine - INFO - Epoch(train) [38][220/940] lr: 1.0000e-02 eta: 10:27:04 time: 0.6434 data_time: 0.0686 memory: 24011 grad_norm: 4.8920 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9517 loss: 0.9517 2022/08/05 00:04:16 - mmengine - INFO - Epoch(train) [38][240/940] lr: 1.0000e-02 eta: 10:26:50 time: 0.5989 data_time: 0.0279 memory: 24011 grad_norm: 4.8917 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0807 loss: 1.0807 2022/08/05 00:04:28 - mmengine - INFO - Epoch(train) [38][260/940] lr: 1.0000e-02 eta: 10:26:37 time: 0.6272 data_time: 0.0336 memory: 24011 grad_norm: 5.0311 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.9906 loss: 0.9906 2022/08/05 00:04:41 - mmengine - INFO - Epoch(train) [38][280/940] lr: 1.0000e-02 eta: 10:26:23 time: 0.6232 data_time: 0.0276 memory: 24011 grad_norm: 4.7967 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0288 loss: 1.0288 2022/08/05 00:04:53 - mmengine - INFO - Epoch(train) [38][300/940] lr: 1.0000e-02 eta: 10:26:10 time: 0.6200 data_time: 0.0416 memory: 24011 grad_norm: 4.8909 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.1016 loss: 1.1016 2022/08/05 00:05:06 - mmengine - INFO - Epoch(train) [38][320/940] lr: 1.0000e-02 eta: 10:25:58 time: 0.6650 data_time: 0.0962 memory: 24011 grad_norm: 4.8099 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.9977 loss: 0.9977 2022/08/05 00:05:18 - mmengine - INFO - Epoch(train) [38][340/940] lr: 1.0000e-02 eta: 10:25:44 time: 0.5858 data_time: 0.0319 memory: 24011 grad_norm: 5.2925 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9704 loss: 0.9704 2022/08/05 00:05:30 - mmengine - INFO - Epoch(train) [38][360/940] lr: 1.0000e-02 eta: 10:25:30 time: 0.6037 data_time: 0.0470 memory: 24011 grad_norm: 5.1499 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.1241 loss: 1.1241 2022/08/05 00:05:42 - mmengine - INFO - Epoch(train) [38][380/940] lr: 1.0000e-02 eta: 10:25:16 time: 0.6039 data_time: 0.0457 memory: 24011 grad_norm: 4.8476 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 1.0734 loss: 1.0734 2022/08/05 00:05:55 - mmengine - INFO - Epoch(train) [38][400/940] lr: 1.0000e-02 eta: 10:25:03 time: 0.6430 data_time: 0.0732 memory: 24011 grad_norm: 4.7815 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0844 loss: 1.0844 2022/08/05 00:06:08 - mmengine - INFO - Epoch(train) [38][420/940] lr: 1.0000e-02 eta: 10:24:50 time: 0.6228 data_time: 0.0353 memory: 24011 grad_norm: 4.7095 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0353 loss: 1.0353 2022/08/05 00:06:20 - mmengine - INFO - Epoch(train) [38][440/940] lr: 1.0000e-02 eta: 10:24:36 time: 0.6097 data_time: 0.0360 memory: 24011 grad_norm: 4.9660 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9865 loss: 0.9865 2022/08/05 00:06:33 - mmengine - INFO - Epoch(train) [38][460/940] lr: 1.0000e-02 eta: 10:24:24 time: 0.6479 data_time: 0.0344 memory: 24011 grad_norm: 4.5624 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1359 loss: 1.1359 2022/08/05 00:06:45 - mmengine - INFO - Epoch(train) [38][480/940] lr: 1.0000e-02 eta: 10:24:10 time: 0.6037 data_time: 0.0329 memory: 24011 grad_norm: 4.9856 top1_acc: 0.4688 top5_acc: 0.7812 loss_cls: 0.9845 loss: 0.9845 2022/08/05 00:06:57 - mmengine - INFO - Epoch(train) [38][500/940] lr: 1.0000e-02 eta: 10:23:57 time: 0.6218 data_time: 0.0377 memory: 24011 grad_norm: 5.0351 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9689 loss: 0.9689 2022/08/05 00:07:10 - mmengine - INFO - Epoch(train) [38][520/940] lr: 1.0000e-02 eta: 10:23:43 time: 0.6170 data_time: 0.0464 memory: 24011 grad_norm: 5.1808 top1_acc: 0.6250 top5_acc: 0.7188 loss_cls: 1.0417 loss: 1.0417 2022/08/05 00:07:22 - mmengine - INFO - Epoch(train) [38][540/940] lr: 1.0000e-02 eta: 10:23:30 time: 0.6112 data_time: 0.0350 memory: 24011 grad_norm: 5.2188 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.0175 loss: 1.0175 2022/08/05 00:07:35 - mmengine - INFO - Epoch(train) [38][560/940] lr: 1.0000e-02 eta: 10:23:17 time: 0.6457 data_time: 0.0358 memory: 24011 grad_norm: 5.2770 top1_acc: 0.6250 top5_acc: 0.7812 loss_cls: 0.9866 loss: 0.9866 2022/08/05 00:07:47 - mmengine - INFO - Epoch(train) [38][580/940] lr: 1.0000e-02 eta: 10:23:03 time: 0.6053 data_time: 0.0316 memory: 24011 grad_norm: 5.6271 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8911 loss: 0.8911 2022/08/05 00:07:59 - mmengine - INFO - Epoch(train) [38][600/940] lr: 1.0000e-02 eta: 10:22:50 time: 0.6232 data_time: 0.0391 memory: 24011 grad_norm: 5.1978 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 1.1921 loss: 1.1921 2022/08/05 00:08:12 - mmengine - INFO - Epoch(train) [38][620/940] lr: 1.0000e-02 eta: 10:22:38 time: 0.6429 data_time: 0.0326 memory: 24011 grad_norm: 5.2306 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0042 loss: 1.0042 2022/08/05 00:08:25 - mmengine - INFO - Epoch(train) [38][640/940] lr: 1.0000e-02 eta: 10:22:25 time: 0.6318 data_time: 0.0373 memory: 24011 grad_norm: 5.1526 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1004 loss: 1.1004 2022/08/05 00:08:37 - mmengine - INFO - Epoch(train) [38][660/940] lr: 1.0000e-02 eta: 10:22:12 time: 0.6313 data_time: 0.0365 memory: 24011 grad_norm: 4.4817 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.2084 loss: 1.2084 2022/08/05 00:08:50 - mmengine - INFO - Epoch(train) [38][680/940] lr: 1.0000e-02 eta: 10:21:58 time: 0.6099 data_time: 0.0536 memory: 24011 grad_norm: 5.0623 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 1.0810 loss: 1.0810 2022/08/05 00:09:02 - mmengine - INFO - Epoch(train) [38][700/940] lr: 1.0000e-02 eta: 10:21:44 time: 0.5932 data_time: 0.0359 memory: 24011 grad_norm: 5.3882 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0805 loss: 1.0805 2022/08/05 00:09:14 - mmengine - INFO - Epoch(train) [38][720/940] lr: 1.0000e-02 eta: 10:21:31 time: 0.6255 data_time: 0.0397 memory: 24011 grad_norm: 4.8818 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0078 loss: 1.0078 2022/08/05 00:09:26 - mmengine - INFO - Epoch(train) [38][740/940] lr: 1.0000e-02 eta: 10:21:17 time: 0.6184 data_time: 0.0365 memory: 24011 grad_norm: 4.8763 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1218 loss: 1.1218 2022/08/05 00:09:39 - mmengine - INFO - Epoch(train) [38][760/940] lr: 1.0000e-02 eta: 10:21:04 time: 0.6262 data_time: 0.0408 memory: 24011 grad_norm: 4.7192 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.0831 loss: 1.0831 2022/08/05 00:09:51 - mmengine - INFO - Epoch(train) [38][780/940] lr: 1.0000e-02 eta: 10:20:51 time: 0.6163 data_time: 0.0330 memory: 24011 grad_norm: 4.6830 top1_acc: 0.5312 top5_acc: 0.7812 loss_cls: 1.0983 loss: 1.0983 2022/08/05 00:10:04 - mmengine - INFO - Epoch(train) [38][800/940] lr: 1.0000e-02 eta: 10:20:38 time: 0.6457 data_time: 0.0354 memory: 24011 grad_norm: 4.9607 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0025 loss: 1.0025 2022/08/05 00:10:16 - mmengine - INFO - Epoch(train) [38][820/940] lr: 1.0000e-02 eta: 10:20:25 time: 0.6079 data_time: 0.0353 memory: 24011 grad_norm: 4.6578 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0065 loss: 1.0065 2022/08/05 00:10:28 - mmengine - INFO - Epoch(train) [38][840/940] lr: 1.0000e-02 eta: 10:20:11 time: 0.6006 data_time: 0.0357 memory: 24011 grad_norm: 5.9469 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0690 loss: 1.0690 2022/08/05 00:10:41 - mmengine - INFO - Epoch(train) [38][860/940] lr: 1.0000e-02 eta: 10:19:57 time: 0.6098 data_time: 0.0362 memory: 24011 grad_norm: 4.9079 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 1.1213 loss: 1.1213 2022/08/05 00:10:52 - mmengine - INFO - Epoch(train) [38][880/940] lr: 1.0000e-02 eta: 10:19:42 time: 0.5834 data_time: 0.0381 memory: 24011 grad_norm: 5.1169 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 1.0714 loss: 1.0714 2022/08/05 00:11:05 - mmengine - INFO - Epoch(train) [38][900/940] lr: 1.0000e-02 eta: 10:19:29 time: 0.6272 data_time: 0.0392 memory: 24011 grad_norm: 4.8438 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0629 loss: 1.0629 2022/08/05 00:11:17 - mmengine - INFO - Epoch(train) [38][920/940] lr: 1.0000e-02 eta: 10:19:16 time: 0.6183 data_time: 0.0386 memory: 24011 grad_norm: 4.8763 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1046 loss: 1.1046 2022/08/05 00:11:29 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:11:29 - mmengine - INFO - Epoch(train) [38][940/940] lr: 1.0000e-02 eta: 10:19:01 time: 0.5814 data_time: 0.0251 memory: 24011 grad_norm: 4.8964 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9710 loss: 0.9710 2022/08/05 00:11:42 - mmengine - INFO - Epoch(val) [38][20/78] eta: 0:00:38 time: 0.6674 data_time: 0.5141 memory: 3625 2022/08/05 00:11:51 - mmengine - INFO - Epoch(val) [38][40/78] eta: 0:00:16 time: 0.4385 data_time: 0.2858 memory: 3625 2022/08/05 00:12:04 - mmengine - INFO - Epoch(val) [38][60/78] eta: 0:00:11 time: 0.6213 data_time: 0.4687 memory: 3625 2022/08/05 00:12:14 - mmengine - INFO - Epoch(val) [38][78/78] acc/top1: 0.7113 acc/top5: 0.8959 acc/mean1: 0.7111 2022/08/05 00:12:31 - mmengine - INFO - Epoch(train) [39][20/940] lr: 1.0000e-02 eta: 10:18:56 time: 0.8498 data_time: 0.2847 memory: 24011 grad_norm: 4.9516 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 1.0852 loss: 1.0852 2022/08/05 00:12:43 - mmengine - INFO - Epoch(train) [39][40/940] lr: 1.0000e-02 eta: 10:18:43 time: 0.6382 data_time: 0.0416 memory: 24011 grad_norm: 4.8676 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0354 loss: 1.0354 2022/08/05 00:12:57 - mmengine - INFO - Epoch(train) [39][60/940] lr: 1.0000e-02 eta: 10:18:31 time: 0.6679 data_time: 0.0605 memory: 24011 grad_norm: 4.4801 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0791 loss: 1.0791 2022/08/05 00:13:09 - mmengine - INFO - Epoch(train) [39][80/940] lr: 1.0000e-02 eta: 10:18:17 time: 0.6103 data_time: 0.0294 memory: 24011 grad_norm: 5.3118 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9606 loss: 0.9606 2022/08/05 00:13:22 - mmengine - INFO - Epoch(train) [39][100/940] lr: 1.0000e-02 eta: 10:18:05 time: 0.6573 data_time: 0.0475 memory: 24011 grad_norm: 4.9672 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.0685 loss: 1.0685 2022/08/05 00:13:34 - mmengine - INFO - Epoch(train) [39][120/940] lr: 1.0000e-02 eta: 10:17:51 time: 0.5920 data_time: 0.0387 memory: 24011 grad_norm: 4.8342 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0414 loss: 1.0414 2022/08/05 00:13:47 - mmengine - INFO - Epoch(train) [39][140/940] lr: 1.0000e-02 eta: 10:17:38 time: 0.6292 data_time: 0.0377 memory: 24011 grad_norm: 4.7489 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 1.0536 loss: 1.0536 2022/08/05 00:14:00 - mmengine - INFO - Epoch(train) [39][160/940] lr: 1.0000e-02 eta: 10:17:26 time: 0.6475 data_time: 0.0251 memory: 24011 grad_norm: 4.7355 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 1.0356 loss: 1.0356 2022/08/05 00:14:12 - mmengine - INFO - Epoch(train) [39][180/940] lr: 1.0000e-02 eta: 10:17:13 time: 0.6261 data_time: 0.0418 memory: 24011 grad_norm: 5.2550 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0030 loss: 1.0030 2022/08/05 00:14:24 - mmengine - INFO - Epoch(train) [39][200/940] lr: 1.0000e-02 eta: 10:16:58 time: 0.5822 data_time: 0.0314 memory: 24011 grad_norm: 4.9945 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0311 loss: 1.0311 2022/08/05 00:14:36 - mmengine - INFO - Epoch(train) [39][220/940] lr: 1.0000e-02 eta: 10:16:44 time: 0.5979 data_time: 0.0368 memory: 24011 grad_norm: 5.1136 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 1.0700 loss: 1.0700 2022/08/05 00:14:48 - mmengine - INFO - Epoch(train) [39][240/940] lr: 1.0000e-02 eta: 10:16:31 time: 0.6131 data_time: 0.0332 memory: 24011 grad_norm: 4.8213 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.9055 loss: 0.9055 2022/08/05 00:15:01 - mmengine - INFO - Epoch(train) [39][260/940] lr: 1.0000e-02 eta: 10:16:19 time: 0.6623 data_time: 0.0348 memory: 24011 grad_norm: 4.7961 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/08/05 00:15:14 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:15:14 - mmengine - INFO - Epoch(train) [39][280/940] lr: 1.0000e-02 eta: 10:16:06 time: 0.6420 data_time: 0.0336 memory: 24011 grad_norm: 5.1670 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 1.0918 loss: 1.0918 2022/08/05 00:15:27 - mmengine - INFO - Epoch(train) [39][300/940] lr: 1.0000e-02 eta: 10:15:54 time: 0.6489 data_time: 0.0363 memory: 24011 grad_norm: 4.7125 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1932 loss: 1.1932 2022/08/05 00:15:39 - mmengine - INFO - Epoch(train) [39][320/940] lr: 1.0000e-02 eta: 10:15:39 time: 0.5941 data_time: 0.0385 memory: 24011 grad_norm: 4.7606 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9643 loss: 0.9643 2022/08/05 00:15:52 - mmengine - INFO - Epoch(train) [39][340/940] lr: 1.0000e-02 eta: 10:15:27 time: 0.6530 data_time: 0.0475 memory: 24011 grad_norm: 4.8442 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9181 loss: 0.9181 2022/08/05 00:16:04 - mmengine - INFO - Epoch(train) [39][360/940] lr: 1.0000e-02 eta: 10:15:14 time: 0.6092 data_time: 0.0349 memory: 24011 grad_norm: 4.5627 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9090 loss: 0.9090 2022/08/05 00:16:17 - mmengine - INFO - Epoch(train) [39][380/940] lr: 1.0000e-02 eta: 10:15:01 time: 0.6276 data_time: 0.0372 memory: 24011 grad_norm: 4.8234 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0175 loss: 1.0175 2022/08/05 00:16:29 - mmengine - INFO - Epoch(train) [39][400/940] lr: 1.0000e-02 eta: 10:14:47 time: 0.6122 data_time: 0.0429 memory: 24011 grad_norm: 4.7907 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0816 loss: 1.0816 2022/08/05 00:16:42 - mmengine - INFO - Epoch(train) [39][420/940] lr: 1.0000e-02 eta: 10:14:34 time: 0.6394 data_time: 0.0348 memory: 24011 grad_norm: 5.3615 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 1.0962 loss: 1.0962 2022/08/05 00:16:54 - mmengine - INFO - Epoch(train) [39][440/940] lr: 1.0000e-02 eta: 10:14:20 time: 0.6038 data_time: 0.0439 memory: 24011 grad_norm: 6.2260 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0952 loss: 1.0952 2022/08/05 00:17:06 - mmengine - INFO - Epoch(train) [39][460/940] lr: 1.0000e-02 eta: 10:14:07 time: 0.6223 data_time: 0.0334 memory: 24011 grad_norm: 5.5485 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 1.1460 loss: 1.1460 2022/08/05 00:17:19 - mmengine - INFO - Epoch(train) [39][480/940] lr: 1.0000e-02 eta: 10:13:54 time: 0.6150 data_time: 0.0457 memory: 24011 grad_norm: 4.7953 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0313 loss: 1.0313 2022/08/05 00:17:32 - mmengine - INFO - Epoch(train) [39][500/940] lr: 1.0000e-02 eta: 10:13:41 time: 0.6498 data_time: 0.0381 memory: 24011 grad_norm: 4.8850 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0919 loss: 1.0919 2022/08/05 00:17:44 - mmengine - INFO - Epoch(train) [39][520/940] lr: 1.0000e-02 eta: 10:13:28 time: 0.6059 data_time: 0.0332 memory: 24011 grad_norm: 5.0007 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 1.0102 loss: 1.0102 2022/08/05 00:17:56 - mmengine - INFO - Epoch(train) [39][540/940] lr: 1.0000e-02 eta: 10:13:15 time: 0.6234 data_time: 0.0388 memory: 24011 grad_norm: 5.0374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0761 loss: 1.0761 2022/08/05 00:18:09 - mmengine - INFO - Epoch(train) [39][560/940] lr: 1.0000e-02 eta: 10:13:02 time: 0.6436 data_time: 0.0371 memory: 24011 grad_norm: 5.2192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1520 loss: 1.1520 2022/08/05 00:18:21 - mmengine - INFO - Epoch(train) [39][580/940] lr: 1.0000e-02 eta: 10:12:48 time: 0.5937 data_time: 0.0342 memory: 24011 grad_norm: 5.5510 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 1.1256 loss: 1.1256 2022/08/05 00:18:33 - mmengine - INFO - Epoch(train) [39][600/940] lr: 1.0000e-02 eta: 10:12:34 time: 0.5884 data_time: 0.0462 memory: 24011 grad_norm: 4.9941 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 1.1062 loss: 1.1062 2022/08/05 00:18:45 - mmengine - INFO - Epoch(train) [39][620/940] lr: 1.0000e-02 eta: 10:12:21 time: 0.6349 data_time: 0.0358 memory: 24011 grad_norm: 4.9914 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0069 loss: 1.0069 2022/08/05 00:18:58 - mmengine - INFO - Epoch(train) [39][640/940] lr: 1.0000e-02 eta: 10:12:08 time: 0.6334 data_time: 0.0338 memory: 24011 grad_norm: 5.2331 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.9930 loss: 0.9930 2022/08/05 00:19:11 - mmengine - INFO - Epoch(train) [39][660/940] lr: 1.0000e-02 eta: 10:11:55 time: 0.6275 data_time: 0.0332 memory: 24011 grad_norm: 4.9787 top1_acc: 0.5938 top5_acc: 0.6875 loss_cls: 1.0387 loss: 1.0387 2022/08/05 00:19:24 - mmengine - INFO - Epoch(train) [39][680/940] lr: 1.0000e-02 eta: 10:11:42 time: 0.6474 data_time: 0.0380 memory: 24011 grad_norm: 5.0196 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0825 loss: 1.0825 2022/08/05 00:19:36 - mmengine - INFO - Epoch(train) [39][700/940] lr: 1.0000e-02 eta: 10:11:29 time: 0.6122 data_time: 0.0300 memory: 24011 grad_norm: 6.1317 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2019 loss: 1.2019 2022/08/05 00:19:49 - mmengine - INFO - Epoch(train) [39][720/940] lr: 1.0000e-02 eta: 10:11:17 time: 0.6682 data_time: 0.0359 memory: 24011 grad_norm: 5.2658 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 1.0637 loss: 1.0637 2022/08/05 00:20:01 - mmengine - INFO - Epoch(train) [39][740/940] lr: 1.0000e-02 eta: 10:11:03 time: 0.6014 data_time: 0.0427 memory: 24011 grad_norm: 5.1303 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1408 loss: 1.1408 2022/08/05 00:20:13 - mmengine - INFO - Epoch(train) [39][760/940] lr: 1.0000e-02 eta: 10:10:49 time: 0.6029 data_time: 0.0371 memory: 24011 grad_norm: 5.8303 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 1.0490 loss: 1.0490 2022/08/05 00:20:25 - mmengine - INFO - Epoch(train) [39][780/940] lr: 1.0000e-02 eta: 10:10:35 time: 0.5869 data_time: 0.0344 memory: 24011 grad_norm: 4.9361 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1230 loss: 1.1230 2022/08/05 00:20:37 - mmengine - INFO - Epoch(train) [39][800/940] lr: 1.0000e-02 eta: 10:10:22 time: 0.6231 data_time: 0.0457 memory: 24011 grad_norm: 4.7980 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.9986 loss: 0.9986 2022/08/05 00:20:51 - mmengine - INFO - Epoch(train) [39][820/940] lr: 1.0000e-02 eta: 10:10:10 time: 0.6744 data_time: 0.0356 memory: 24011 grad_norm: 4.6418 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 1.1292 loss: 1.1292 2022/08/05 00:21:03 - mmengine - INFO - Epoch(train) [39][840/940] lr: 1.0000e-02 eta: 10:09:57 time: 0.6132 data_time: 0.0382 memory: 24011 grad_norm: 4.8011 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.1246 loss: 1.1246 2022/08/05 00:21:16 - mmengine - INFO - Epoch(train) [39][860/940] lr: 1.0000e-02 eta: 10:09:44 time: 0.6247 data_time: 0.0300 memory: 24011 grad_norm: 4.8276 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1609 loss: 1.1609 2022/08/05 00:21:28 - mmengine - INFO - Epoch(train) [39][880/940] lr: 1.0000e-02 eta: 10:09:30 time: 0.6037 data_time: 0.0456 memory: 24011 grad_norm: 4.6667 top1_acc: 0.5312 top5_acc: 0.7188 loss_cls: 1.1530 loss: 1.1530 2022/08/05 00:21:41 - mmengine - INFO - Epoch(train) [39][900/940] lr: 1.0000e-02 eta: 10:09:17 time: 0.6379 data_time: 0.0348 memory: 24011 grad_norm: 5.4782 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.9993 loss: 0.9993 2022/08/05 00:21:53 - mmengine - INFO - Epoch(train) [39][920/940] lr: 1.0000e-02 eta: 10:09:04 time: 0.6257 data_time: 0.0420 memory: 24011 grad_norm: 4.8801 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9560 loss: 0.9560 2022/08/05 00:22:04 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:22:04 - mmengine - INFO - Epoch(train) [39][940/940] lr: 1.0000e-02 eta: 10:08:48 time: 0.5428 data_time: 0.0214 memory: 24011 grad_norm: 4.8262 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.0502 loss: 1.0502 2022/08/05 00:22:04 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/05 00:22:23 - mmengine - INFO - Epoch(val) [39][20/78] eta: 0:00:38 time: 0.6635 data_time: 0.5105 memory: 3625 2022/08/05 00:22:32 - mmengine - INFO - Epoch(val) [39][40/78] eta: 0:00:17 time: 0.4545 data_time: 0.3038 memory: 3625 2022/08/05 00:22:44 - mmengine - INFO - Epoch(val) [39][60/78] eta: 0:00:10 time: 0.5970 data_time: 0.4342 memory: 3625 2022/08/05 00:22:53 - mmengine - INFO - Epoch(val) [39][78/78] acc/top1: 0.7124 acc/top5: 0.8946 acc/mean1: 0.7122 2022/08/05 00:23:11 - mmengine - INFO - Epoch(train) [40][20/940] lr: 1.0000e-02 eta: 10:08:43 time: 0.8686 data_time: 0.2689 memory: 24011 grad_norm: 4.7644 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0037 loss: 1.0037 2022/08/05 00:23:23 - mmengine - INFO - Epoch(train) [40][40/940] lr: 1.0000e-02 eta: 10:08:29 time: 0.5949 data_time: 0.0300 memory: 24011 grad_norm: 5.4180 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0176 loss: 1.0176 2022/08/05 00:23:36 - mmengine - INFO - Epoch(train) [40][60/940] lr: 1.0000e-02 eta: 10:08:17 time: 0.6677 data_time: 0.0444 memory: 24011 grad_norm: 4.7566 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9662 loss: 0.9662 2022/08/05 00:23:49 - mmengine - INFO - Epoch(train) [40][80/940] lr: 1.0000e-02 eta: 10:08:04 time: 0.6369 data_time: 0.0417 memory: 24011 grad_norm: 4.6852 top1_acc: 0.5938 top5_acc: 0.7812 loss_cls: 1.0232 loss: 1.0232 2022/08/05 00:24:02 - mmengine - INFO - Epoch(train) [40][100/940] lr: 1.0000e-02 eta: 10:07:52 time: 0.6564 data_time: 0.0357 memory: 24011 grad_norm: 4.6419 top1_acc: 0.5938 top5_acc: 0.8750 loss_cls: 1.0746 loss: 1.0746 2022/08/05 00:24:14 - mmengine - INFO - Epoch(train) [40][120/940] lr: 1.0000e-02 eta: 10:07:38 time: 0.5953 data_time: 0.0358 memory: 24011 grad_norm: 4.5892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9592 loss: 0.9592 2022/08/05 00:24:26 - mmengine - INFO - Epoch(train) [40][140/940] lr: 1.0000e-02 eta: 10:07:24 time: 0.5959 data_time: 0.0350 memory: 24011 grad_norm: 5.1740 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0711 loss: 1.0711 2022/08/05 00:24:38 - mmengine - INFO - Epoch(train) [40][160/940] lr: 1.0000e-02 eta: 10:07:11 time: 0.6340 data_time: 0.0366 memory: 24011 grad_norm: 4.9005 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/08/05 00:24:51 - mmengine - INFO - Epoch(train) [40][180/940] lr: 1.0000e-02 eta: 10:06:59 time: 0.6496 data_time: 0.0347 memory: 24011 grad_norm: 5.5960 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.0882 loss: 1.0882 2022/08/05 00:25:03 - mmengine - INFO - Epoch(train) [40][200/940] lr: 1.0000e-02 eta: 10:06:45 time: 0.5974 data_time: 0.0369 memory: 24011 grad_norm: 4.8533 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.9762 loss: 0.9762 2022/08/05 00:25:16 - mmengine - INFO - Epoch(train) [40][220/940] lr: 1.0000e-02 eta: 10:06:31 time: 0.6142 data_time: 0.0354 memory: 24011 grad_norm: 6.7605 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.9667 loss: 0.9667 2022/08/05 00:25:29 - mmengine - INFO - Epoch(train) [40][240/940] lr: 1.0000e-02 eta: 10:06:20 time: 0.6657 data_time: 0.0334 memory: 24011 grad_norm: 5.6174 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.2427 loss: 1.2427 2022/08/05 00:25:41 - mmengine - INFO - Epoch(train) [40][260/940] lr: 1.0000e-02 eta: 10:06:06 time: 0.6053 data_time: 0.0369 memory: 24011 grad_norm: 5.2806 top1_acc: 0.6250 top5_acc: 0.8438 loss_cls: 1.0258 loss: 1.0258 2022/08/05 00:25:54 - mmengine - INFO - Epoch(train) [40][280/940] lr: 1.0000e-02 eta: 10:05:53 time: 0.6446 data_time: 0.0339 memory: 24011 grad_norm: 4.9664 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 1.1430 loss: 1.1430 2022/08/05 00:26:06 - mmengine - INFO - Epoch(train) [40][300/940] lr: 1.0000e-02 eta: 10:05:39 time: 0.5994 data_time: 0.0375 memory: 24011 grad_norm: 5.0189 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9708 loss: 0.9708 2022/08/05 00:26:18 - mmengine - INFO - Epoch(train) [40][320/940] lr: 1.0000e-02 eta: 10:05:26 time: 0.6136 data_time: 0.0419 memory: 24011 grad_norm: 4.7596 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9501 loss: 0.9501 2022/08/05 00:26:31 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:26:31 - mmengine - INFO - Epoch(train) [40][340/940] lr: 1.0000e-02 eta: 10:05:14 time: 0.6464 data_time: 0.0405 memory: 24011 grad_norm: 4.9061 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8878 loss: 0.8878 2022/08/05 00:26:44 - mmengine - INFO - Epoch(train) [40][360/940] lr: 1.0000e-02 eta: 10:05:01 time: 0.6596 data_time: 0.0399 memory: 24011 grad_norm: 5.1309 top1_acc: 0.5938 top5_acc: 0.8125 loss_cls: 1.1218 loss: 1.1218 2022/08/05 00:26:57 - mmengine - INFO - Epoch(train) [40][380/940] lr: 1.0000e-02 eta: 10:04:49 time: 0.6321 data_time: 0.0347 memory: 24011 grad_norm: 5.0319 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9462 loss: 0.9462 2022/08/05 00:27:10 - mmengine - INFO - Epoch(train) [40][400/940] lr: 1.0000e-02 eta: 10:04:36 time: 0.6310 data_time: 0.0402 memory: 24011 grad_norm: 4.8457 top1_acc: 0.5625 top5_acc: 0.9062 loss_cls: 0.9718 loss: 0.9718 2022/08/05 00:27:22 - mmengine - INFO - Epoch(train) [40][420/940] lr: 1.0000e-02 eta: 10:04:23 time: 0.6361 data_time: 0.0401 memory: 24011 grad_norm: 4.8488 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9878 loss: 0.9878 2022/08/05 00:27:35 - mmengine - INFO - Epoch(train) [40][440/940] lr: 1.0000e-02 eta: 10:04:10 time: 0.6260 data_time: 0.0390 memory: 24011 grad_norm: 4.9134 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0553 loss: 1.0553 2022/08/05 00:27:47 - mmengine - INFO - Epoch(train) [40][460/940] lr: 1.0000e-02 eta: 10:03:56 time: 0.6045 data_time: 0.0390 memory: 24011 grad_norm: 5.0454 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0067 loss: 1.0067 2022/08/05 00:28:00 - mmengine - INFO - Epoch(train) [40][480/940] lr: 1.0000e-02 eta: 10:03:43 time: 0.6260 data_time: 0.0357 memory: 24011 grad_norm: 5.1221 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 1.0085 loss: 1.0085 2022/08/05 00:28:12 - mmengine - INFO - Epoch(train) [40][500/940] lr: 1.0000e-02 eta: 10:03:30 time: 0.6238 data_time: 0.0690 memory: 24011 grad_norm: 5.1420 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 1.1436 loss: 1.1436 2022/08/05 00:28:24 - mmengine - INFO - Epoch(train) [40][520/940] lr: 1.0000e-02 eta: 10:03:16 time: 0.5939 data_time: 0.0426 memory: 24011 grad_norm: 4.8258 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 1.1296 loss: 1.1296 2022/08/05 00:28:36 - mmengine - INFO - Epoch(train) [40][540/940] lr: 1.0000e-02 eta: 10:03:02 time: 0.6038 data_time: 0.0390 memory: 24011 grad_norm: 4.7448 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0734 loss: 1.0734 2022/08/05 00:28:49 - mmengine - INFO - Epoch(train) [40][560/940] lr: 1.0000e-02 eta: 10:02:50 time: 0.6622 data_time: 0.0442 memory: 24011 grad_norm: 4.7182 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1046 loss: 1.1046 2022/08/05 00:29:02 - mmengine - INFO - Epoch(train) [40][580/940] lr: 1.0000e-02 eta: 10:02:37 time: 0.6309 data_time: 0.0403 memory: 24011 grad_norm: 5.8685 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.0326 loss: 1.0326 2022/08/05 00:29:14 - mmengine - INFO - Epoch(train) [40][600/940] lr: 1.0000e-02 eta: 10:02:23 time: 0.6066 data_time: 0.0402 memory: 24011 grad_norm: 5.0015 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/08/05 00:29:26 - mmengine - INFO - Epoch(train) [40][620/940] lr: 1.0000e-02 eta: 10:02:09 time: 0.5920 data_time: 0.0392 memory: 24011 grad_norm: 4.9010 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 1.0785 loss: 1.0785 2022/08/05 00:29:39 - mmengine - INFO - Epoch(train) [40][640/940] lr: 1.0000e-02 eta: 10:01:57 time: 0.6396 data_time: 0.0364 memory: 24011 grad_norm: 5.3485 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0556 loss: 1.0556 2022/08/05 00:29:51 - mmengine - INFO - Epoch(train) [40][660/940] lr: 1.0000e-02 eta: 10:01:43 time: 0.6109 data_time: 0.0365 memory: 24011 grad_norm: 4.8940 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 1.1966 loss: 1.1966 2022/08/05 00:30:04 - mmengine - INFO - Epoch(train) [40][680/940] lr: 1.0000e-02 eta: 10:01:31 time: 0.6465 data_time: 0.0370 memory: 24011 grad_norm: 4.9998 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0232 loss: 1.0232 2022/08/05 00:30:16 - mmengine - INFO - Epoch(train) [40][700/940] lr: 1.0000e-02 eta: 10:01:17 time: 0.5989 data_time: 0.0383 memory: 24011 grad_norm: 4.9878 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 1.1489 loss: 1.1489 2022/08/05 00:30:29 - mmengine - INFO - Epoch(train) [40][720/940] lr: 1.0000e-02 eta: 10:01:04 time: 0.6424 data_time: 0.0389 memory: 24011 grad_norm: 4.9127 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1046 loss: 1.1046 2022/08/05 00:30:41 - mmengine - INFO - Epoch(train) [40][740/940] lr: 1.0000e-02 eta: 10:00:50 time: 0.6006 data_time: 0.0329 memory: 24011 grad_norm: 4.5449 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9886 loss: 0.9886 2022/08/05 00:30:53 - mmengine - INFO - Epoch(train) [40][760/940] lr: 1.0000e-02 eta: 10:00:38 time: 0.6346 data_time: 0.0358 memory: 24011 grad_norm: 4.9939 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.9626 loss: 0.9626 2022/08/05 00:31:06 - mmengine - INFO - Epoch(train) [40][780/940] lr: 1.0000e-02 eta: 10:00:25 time: 0.6396 data_time: 0.0441 memory: 24011 grad_norm: 5.0315 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.9853 loss: 0.9853 2022/08/05 00:31:19 - mmengine - INFO - Epoch(train) [40][800/940] lr: 1.0000e-02 eta: 10:00:13 time: 0.6660 data_time: 0.0437 memory: 24011 grad_norm: 4.8184 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0052 loss: 1.0052 2022/08/05 00:31:32 - mmengine - INFO - Epoch(train) [40][820/940] lr: 1.0000e-02 eta: 9:59:59 time: 0.5978 data_time: 0.0362 memory: 24011 grad_norm: 4.5511 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9874 loss: 0.9874 2022/08/05 00:31:43 - mmengine - INFO - Epoch(train) [40][840/940] lr: 1.0000e-02 eta: 9:59:45 time: 0.5976 data_time: 0.0402 memory: 24011 grad_norm: 4.9824 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 1.0204 loss: 1.0204 2022/08/05 00:31:56 - mmengine - INFO - Epoch(train) [40][860/940] lr: 1.0000e-02 eta: 9:59:31 time: 0.6013 data_time: 0.0350 memory: 24011 grad_norm: 4.8429 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 1.0970 loss: 1.0970 2022/08/05 00:32:08 - mmengine - INFO - Epoch(train) [40][880/940] lr: 1.0000e-02 eta: 9:59:18 time: 0.6200 data_time: 0.0453 memory: 24011 grad_norm: 4.8003 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0871 loss: 1.0871 2022/08/05 00:32:20 - mmengine - INFO - Epoch(train) [40][900/940] lr: 1.0000e-02 eta: 9:59:05 time: 0.6276 data_time: 0.0409 memory: 24011 grad_norm: 4.8720 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0499 loss: 1.0499 2022/08/05 00:32:33 - mmengine - INFO - Epoch(train) [40][920/940] lr: 1.0000e-02 eta: 9:58:53 time: 0.6407 data_time: 0.0306 memory: 24011 grad_norm: 4.6303 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 1.0167 loss: 1.0167 2022/08/05 00:32:44 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:32:44 - mmengine - INFO - Epoch(train) [40][940/940] lr: 1.0000e-02 eta: 9:58:37 time: 0.5571 data_time: 0.0338 memory: 24011 grad_norm: 5.1592 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9867 loss: 0.9867 2022/08/05 00:32:58 - mmengine - INFO - Epoch(val) [40][20/78] eta: 0:00:39 time: 0.6822 data_time: 0.5276 memory: 3625 2022/08/05 00:33:07 - mmengine - INFO - Epoch(val) [40][40/78] eta: 0:00:16 time: 0.4321 data_time: 0.2789 memory: 3625 2022/08/05 00:33:19 - mmengine - INFO - Epoch(val) [40][60/78] eta: 0:00:11 time: 0.6234 data_time: 0.4638 memory: 3625 2022/08/05 00:33:29 - mmengine - INFO - Epoch(val) [40][78/78] acc/top1: 0.7086 acc/top5: 0.8947 acc/mean1: 0.7084 2022/08/05 00:33:47 - mmengine - INFO - Epoch(train) [41][20/940] lr: 1.0000e-03 eta: 9:58:32 time: 0.8723 data_time: 0.2516 memory: 24011 grad_norm: 4.8124 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8843 loss: 0.8843 2022/08/05 00:33:59 - mmengine - INFO - Epoch(train) [41][40/940] lr: 1.0000e-03 eta: 9:58:18 time: 0.6113 data_time: 0.0337 memory: 24011 grad_norm: 4.5782 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8316 loss: 0.8316 2022/08/05 00:34:12 - mmengine - INFO - Epoch(train) [41][60/940] lr: 1.0000e-03 eta: 9:58:07 time: 0.6788 data_time: 0.0935 memory: 24011 grad_norm: 5.0920 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7401 loss: 0.7401 2022/08/05 00:34:25 - mmengine - INFO - Epoch(train) [41][80/940] lr: 1.0000e-03 eta: 9:57:53 time: 0.6060 data_time: 0.0567 memory: 24011 grad_norm: 4.6301 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.9042 loss: 0.9042 2022/08/05 00:34:37 - mmengine - INFO - Epoch(train) [41][100/940] lr: 1.0000e-03 eta: 9:57:40 time: 0.6114 data_time: 0.0599 memory: 24011 grad_norm: 4.7008 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8995 loss: 0.8995 2022/08/05 00:34:49 - mmengine - INFO - Epoch(train) [41][120/940] lr: 1.0000e-03 eta: 9:57:26 time: 0.6180 data_time: 0.0690 memory: 24011 grad_norm: 4.8421 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8567 loss: 0.8567 2022/08/05 00:35:02 - mmengine - INFO - Epoch(train) [41][140/940] lr: 1.0000e-03 eta: 9:57:14 time: 0.6655 data_time: 0.0380 memory: 24011 grad_norm: 4.6806 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8125 loss: 0.8125 2022/08/05 00:35:15 - mmengine - INFO - Epoch(train) [41][160/940] lr: 1.0000e-03 eta: 9:57:02 time: 0.6353 data_time: 0.0293 memory: 24011 grad_norm: 4.6504 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 1.0124 loss: 1.0124 2022/08/05 00:35:28 - mmengine - INFO - Epoch(train) [41][180/940] lr: 1.0000e-03 eta: 9:56:49 time: 0.6361 data_time: 0.0397 memory: 24011 grad_norm: 5.2286 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8976 loss: 0.8976 2022/08/05 00:35:40 - mmengine - INFO - Epoch(train) [41][200/940] lr: 1.0000e-03 eta: 9:56:34 time: 0.5828 data_time: 0.0358 memory: 24011 grad_norm: 4.8094 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8643 loss: 0.8643 2022/08/05 00:35:52 - mmengine - INFO - Epoch(train) [41][220/940] lr: 1.0000e-03 eta: 9:56:21 time: 0.6298 data_time: 0.0441 memory: 24011 grad_norm: 4.5905 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7505 loss: 0.7505 2022/08/05 00:36:05 - mmengine - INFO - Epoch(train) [41][240/940] lr: 1.0000e-03 eta: 9:56:08 time: 0.6262 data_time: 0.0650 memory: 24011 grad_norm: 4.5816 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8607 loss: 0.8607 2022/08/05 00:36:17 - mmengine - INFO - Epoch(train) [41][260/940] lr: 1.0000e-03 eta: 9:55:56 time: 0.6403 data_time: 0.0554 memory: 24011 grad_norm: 7.4616 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8756 loss: 0.8756 2022/08/05 00:36:30 - mmengine - INFO - Epoch(train) [41][280/940] lr: 1.0000e-03 eta: 9:55:42 time: 0.6090 data_time: 0.0487 memory: 24011 grad_norm: 5.5397 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8329 loss: 0.8329 2022/08/05 00:36:42 - mmengine - INFO - Epoch(train) [41][300/940] lr: 1.0000e-03 eta: 9:55:29 time: 0.6145 data_time: 0.0443 memory: 24011 grad_norm: 5.1044 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.9154 loss: 0.9154 2022/08/05 00:36:54 - mmengine - INFO - Epoch(train) [41][320/940] lr: 1.0000e-03 eta: 9:55:15 time: 0.6073 data_time: 0.0452 memory: 24011 grad_norm: 4.6931 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8850 loss: 0.8850 2022/08/05 00:37:07 - mmengine - INFO - Epoch(train) [41][340/940] lr: 1.0000e-03 eta: 9:55:03 time: 0.6479 data_time: 0.0813 memory: 24011 grad_norm: 7.0753 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8883 loss: 0.8883 2022/08/05 00:37:19 - mmengine - INFO - Epoch(train) [41][360/940] lr: 1.0000e-03 eta: 9:54:49 time: 0.5959 data_time: 0.0337 memory: 24011 grad_norm: 4.8514 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8040 loss: 0.8040 2022/08/05 00:37:32 - mmengine - INFO - Epoch(train) [41][380/940] lr: 1.0000e-03 eta: 9:54:37 time: 0.6560 data_time: 0.0364 memory: 24011 grad_norm: 4.9210 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8249 loss: 0.8249 2022/08/05 00:37:44 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:37:44 - mmengine - INFO - Epoch(train) [41][400/940] lr: 1.0000e-03 eta: 9:54:23 time: 0.6098 data_time: 0.0394 memory: 24011 grad_norm: 4.8915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/05 00:37:56 - mmengine - INFO - Epoch(train) [41][420/940] lr: 1.0000e-03 eta: 9:54:09 time: 0.6033 data_time: 0.0360 memory: 24011 grad_norm: 4.7944 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7545 loss: 0.7545 2022/08/05 00:38:09 - mmengine - INFO - Epoch(train) [41][440/940] lr: 1.0000e-03 eta: 9:53:56 time: 0.6223 data_time: 0.0324 memory: 24011 grad_norm: 5.1646 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.9390 loss: 0.9390 2022/08/05 00:38:21 - mmengine - INFO - Epoch(train) [41][460/940] lr: 1.0000e-03 eta: 9:53:43 time: 0.6264 data_time: 0.0447 memory: 24011 grad_norm: 4.5680 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/05 00:38:34 - mmengine - INFO - Epoch(train) [41][480/940] lr: 1.0000e-03 eta: 9:53:31 time: 0.6387 data_time: 0.0519 memory: 24011 grad_norm: 4.8728 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7862 loss: 0.7862 2022/08/05 00:38:46 - mmengine - INFO - Epoch(train) [41][500/940] lr: 1.0000e-03 eta: 9:53:17 time: 0.5943 data_time: 0.0355 memory: 24011 grad_norm: 4.5643 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9724 loss: 0.9724 2022/08/05 00:38:58 - mmengine - INFO - Epoch(train) [41][520/940] lr: 1.0000e-03 eta: 9:53:03 time: 0.6174 data_time: 0.0305 memory: 24011 grad_norm: 5.5127 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7374 loss: 0.7374 2022/08/05 00:39:12 - mmengine - INFO - Epoch(train) [41][540/940] lr: 1.0000e-03 eta: 9:52:51 time: 0.6685 data_time: 0.0343 memory: 24011 grad_norm: 5.1014 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7621 loss: 0.7621 2022/08/05 00:39:24 - mmengine - INFO - Epoch(train) [41][560/940] lr: 1.0000e-03 eta: 9:52:38 time: 0.6203 data_time: 0.0320 memory: 24011 grad_norm: 4.8469 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8824 loss: 0.8824 2022/08/05 00:39:36 - mmengine - INFO - Epoch(train) [41][580/940] lr: 1.0000e-03 eta: 9:52:25 time: 0.6168 data_time: 0.0474 memory: 24011 grad_norm: 4.8620 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7485 loss: 0.7485 2022/08/05 00:39:48 - mmengine - INFO - Epoch(train) [41][600/940] lr: 1.0000e-03 eta: 9:52:11 time: 0.5989 data_time: 0.0370 memory: 24011 grad_norm: 4.8245 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8986 loss: 0.8986 2022/08/05 00:40:00 - mmengine - INFO - Epoch(train) [41][620/940] lr: 1.0000e-03 eta: 9:51:57 time: 0.5856 data_time: 0.0348 memory: 24011 grad_norm: 4.5496 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/05 00:40:13 - mmengine - INFO - Epoch(train) [41][640/940] lr: 1.0000e-03 eta: 9:51:45 time: 0.6565 data_time: 0.0357 memory: 24011 grad_norm: 5.0236 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8510 loss: 0.8510 2022/08/05 00:40:25 - mmengine - INFO - Epoch(train) [41][660/940] lr: 1.0000e-03 eta: 9:51:30 time: 0.5837 data_time: 0.0478 memory: 24011 grad_norm: 4.8419 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8598 loss: 0.8598 2022/08/05 00:40:37 - mmengine - INFO - Epoch(train) [41][680/940] lr: 1.0000e-03 eta: 9:51:16 time: 0.5947 data_time: 0.0358 memory: 24011 grad_norm: 4.6024 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.8409 loss: 0.8409 2022/08/05 00:40:50 - mmengine - INFO - Epoch(train) [41][700/940] lr: 1.0000e-03 eta: 9:51:04 time: 0.6562 data_time: 0.0410 memory: 24011 grad_norm: 4.6449 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8000 loss: 0.8000 2022/08/05 00:41:03 - mmengine - INFO - Epoch(train) [41][720/940] lr: 1.0000e-03 eta: 9:50:52 time: 0.6501 data_time: 0.0322 memory: 24011 grad_norm: 4.6461 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7962 loss: 0.7962 2022/08/05 00:41:16 - mmengine - INFO - Epoch(train) [41][740/940] lr: 1.0000e-03 eta: 9:50:39 time: 0.6297 data_time: 0.0390 memory: 24011 grad_norm: 4.9974 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.8261 loss: 0.8261 2022/08/05 00:41:28 - mmengine - INFO - Epoch(train) [41][760/940] lr: 1.0000e-03 eta: 9:50:26 time: 0.6358 data_time: 0.0396 memory: 24011 grad_norm: 4.5763 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7742 loss: 0.7742 2022/08/05 00:41:41 - mmengine - INFO - Epoch(train) [41][780/940] lr: 1.0000e-03 eta: 9:50:13 time: 0.6168 data_time: 0.0374 memory: 24011 grad_norm: 4.6704 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7648 loss: 0.7648 2022/08/05 00:41:53 - mmengine - INFO - Epoch(train) [41][800/940] lr: 1.0000e-03 eta: 9:49:59 time: 0.6086 data_time: 0.0306 memory: 24011 grad_norm: 4.5986 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8342 loss: 0.8342 2022/08/05 00:42:06 - mmengine - INFO - Epoch(train) [41][820/940] lr: 1.0000e-03 eta: 9:49:47 time: 0.6496 data_time: 0.0519 memory: 24011 grad_norm: 4.7036 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/08/05 00:42:18 - mmengine - INFO - Epoch(train) [41][840/940] lr: 1.0000e-03 eta: 9:49:34 time: 0.6103 data_time: 0.0349 memory: 24011 grad_norm: 4.6666 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7468 loss: 0.7468 2022/08/05 00:42:30 - mmengine - INFO - Epoch(train) [41][860/940] lr: 1.0000e-03 eta: 9:49:20 time: 0.6038 data_time: 0.0402 memory: 24011 grad_norm: 4.4750 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8217 loss: 0.8217 2022/08/05 00:42:42 - mmengine - INFO - Epoch(train) [41][880/940] lr: 1.0000e-03 eta: 9:49:06 time: 0.5980 data_time: 0.0336 memory: 24011 grad_norm: 4.5581 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.9397 loss: 0.9397 2022/08/05 00:42:55 - mmengine - INFO - Epoch(train) [41][900/940] lr: 1.0000e-03 eta: 9:48:53 time: 0.6349 data_time: 0.0416 memory: 24011 grad_norm: 5.0159 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8228 loss: 0.8228 2022/08/05 00:43:07 - mmengine - INFO - Epoch(train) [41][920/940] lr: 1.0000e-03 eta: 9:48:40 time: 0.6209 data_time: 0.0364 memory: 24011 grad_norm: 4.8884 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8993 loss: 0.8993 2022/08/05 00:43:18 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:43:18 - mmengine - INFO - Epoch(train) [41][940/940] lr: 1.0000e-03 eta: 9:48:24 time: 0.5381 data_time: 0.0270 memory: 24011 grad_norm: 5.8317 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8729 loss: 0.8729 2022/08/05 00:43:31 - mmengine - INFO - Epoch(val) [41][20/78] eta: 0:00:38 time: 0.6647 data_time: 0.5072 memory: 3625 2022/08/05 00:43:40 - mmengine - INFO - Epoch(val) [41][40/78] eta: 0:00:16 time: 0.4367 data_time: 0.2845 memory: 3625 2022/08/05 00:43:53 - mmengine - INFO - Epoch(val) [41][60/78] eta: 0:00:11 time: 0.6252 data_time: 0.4713 memory: 3625 2022/08/05 00:44:03 - mmengine - INFO - Epoch(val) [41][78/78] acc/top1: 0.7316 acc/top5: 0.9071 acc/mean1: 0.7314 2022/08/05 00:44:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_23.pth is removed 2022/08/05 00:44:06 - mmengine - INFO - The best checkpoint with 0.7316 acc/top1 at 42 epoch is saved to best_acc/top1_epoch_42.pth. 2022/08/05 00:44:24 - mmengine - INFO - Epoch(train) [42][20/940] lr: 1.0000e-03 eta: 9:48:18 time: 0.8715 data_time: 0.3025 memory: 24011 grad_norm: 4.7411 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.7827 loss: 0.7827 2022/08/05 00:44:35 - mmengine - INFO - Epoch(train) [42][40/940] lr: 1.0000e-03 eta: 9:48:04 time: 0.5801 data_time: 0.0271 memory: 24011 grad_norm: 4.8616 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7974 loss: 0.7974 2022/08/05 00:44:48 - mmengine - INFO - Epoch(train) [42][60/940] lr: 1.0000e-03 eta: 9:47:52 time: 0.6439 data_time: 0.0926 memory: 24011 grad_norm: 4.8171 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.8420 loss: 0.8420 2022/08/05 00:45:00 - mmengine - INFO - Epoch(train) [42][80/940] lr: 1.0000e-03 eta: 9:47:38 time: 0.5985 data_time: 0.0496 memory: 24011 grad_norm: 5.5641 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8004 loss: 0.8004 2022/08/05 00:45:12 - mmengine - INFO - Epoch(train) [42][100/940] lr: 1.0000e-03 eta: 9:47:25 time: 0.6211 data_time: 0.0585 memory: 24011 grad_norm: 5.8354 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8337 loss: 0.8337 2022/08/05 00:45:25 - mmengine - INFO - Epoch(train) [42][120/940] lr: 1.0000e-03 eta: 9:47:12 time: 0.6256 data_time: 0.0489 memory: 24011 grad_norm: 4.8781 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7669 loss: 0.7669 2022/08/05 00:45:37 - mmengine - INFO - Epoch(train) [42][140/940] lr: 1.0000e-03 eta: 9:46:58 time: 0.6254 data_time: 0.0687 memory: 24011 grad_norm: 4.6256 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8065 loss: 0.8065 2022/08/05 00:45:49 - mmengine - INFO - Epoch(train) [42][160/940] lr: 1.0000e-03 eta: 9:46:44 time: 0.5859 data_time: 0.0259 memory: 24011 grad_norm: 4.8431 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7266 loss: 0.7266 2022/08/05 00:46:02 - mmengine - INFO - Epoch(train) [42][180/940] lr: 1.0000e-03 eta: 9:46:31 time: 0.6271 data_time: 0.0739 memory: 24011 grad_norm: 4.6940 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8096 loss: 0.8096 2022/08/05 00:46:14 - mmengine - INFO - Epoch(train) [42][200/940] lr: 1.0000e-03 eta: 9:46:18 time: 0.6182 data_time: 0.0298 memory: 24011 grad_norm: 4.8920 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7954 loss: 0.7954 2022/08/05 00:46:27 - mmengine - INFO - Epoch(train) [42][220/940] lr: 1.0000e-03 eta: 9:46:05 time: 0.6329 data_time: 0.0654 memory: 24011 grad_norm: 4.6808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8274 loss: 0.8274 2022/08/05 00:46:39 - mmengine - INFO - Epoch(train) [42][240/940] lr: 1.0000e-03 eta: 9:45:52 time: 0.6082 data_time: 0.0343 memory: 24011 grad_norm: 4.5873 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7521 loss: 0.7521 2022/08/05 00:46:52 - mmengine - INFO - Epoch(train) [42][260/940] lr: 1.0000e-03 eta: 9:45:39 time: 0.6498 data_time: 0.0320 memory: 24011 grad_norm: 4.5719 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8745 loss: 0.8745 2022/08/05 00:47:04 - mmengine - INFO - Epoch(train) [42][280/940] lr: 1.0000e-03 eta: 9:45:26 time: 0.6274 data_time: 0.0368 memory: 24011 grad_norm: 4.7180 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8504 loss: 0.8504 2022/08/05 00:47:16 - mmengine - INFO - Epoch(train) [42][300/940] lr: 1.0000e-03 eta: 9:45:12 time: 0.5923 data_time: 0.0350 memory: 24011 grad_norm: 4.5841 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8470 loss: 0.8470 2022/08/05 00:47:28 - mmengine - INFO - Epoch(train) [42][320/940] lr: 1.0000e-03 eta: 9:44:58 time: 0.5891 data_time: 0.0369 memory: 24011 grad_norm: 4.9623 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8180 loss: 0.8180 2022/08/05 00:47:42 - mmengine - INFO - Epoch(train) [42][340/940] lr: 1.0000e-03 eta: 9:44:47 time: 0.6789 data_time: 0.0324 memory: 24011 grad_norm: 4.6385 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8279 loss: 0.8279 2022/08/05 00:47:55 - mmengine - INFO - Epoch(train) [42][360/940] lr: 1.0000e-03 eta: 9:44:34 time: 0.6432 data_time: 0.0355 memory: 24011 grad_norm: 4.6432 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7102 loss: 0.7102 2022/08/05 00:48:07 - mmengine - INFO - Epoch(train) [42][380/940] lr: 1.0000e-03 eta: 9:44:20 time: 0.5997 data_time: 0.0378 memory: 24011 grad_norm: 4.7562 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8267 loss: 0.8267 2022/08/05 00:48:19 - mmengine - INFO - Epoch(train) [42][400/940] lr: 1.0000e-03 eta: 9:44:07 time: 0.6211 data_time: 0.0330 memory: 24011 grad_norm: 4.8377 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7692 loss: 0.7692 2022/08/05 00:48:32 - mmengine - INFO - Epoch(train) [42][420/940] lr: 1.0000e-03 eta: 9:43:55 time: 0.6554 data_time: 0.0343 memory: 24011 grad_norm: 4.6000 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7528 loss: 0.7528 2022/08/05 00:48:44 - mmengine - INFO - Epoch(train) [42][440/940] lr: 1.0000e-03 eta: 9:43:42 time: 0.6148 data_time: 0.0377 memory: 24011 grad_norm: 4.9388 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7178 loss: 0.7178 2022/08/05 00:48:57 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:48:57 - mmengine - INFO - Epoch(train) [42][460/940] lr: 1.0000e-03 eta: 9:43:28 time: 0.6206 data_time: 0.0416 memory: 24011 grad_norm: 5.3658 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7463 loss: 0.7463 2022/08/05 00:49:10 - mmengine - INFO - Epoch(train) [42][480/940] lr: 1.0000e-03 eta: 9:43:16 time: 0.6384 data_time: 0.0350 memory: 24011 grad_norm: 4.7867 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.8547 loss: 0.8547 2022/08/05 00:49:22 - mmengine - INFO - Epoch(train) [42][500/940] lr: 1.0000e-03 eta: 9:43:02 time: 0.6135 data_time: 0.0551 memory: 24011 grad_norm: 4.4632 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8298 loss: 0.8298 2022/08/05 00:49:34 - mmengine - INFO - Epoch(train) [42][520/940] lr: 1.0000e-03 eta: 9:42:49 time: 0.5989 data_time: 0.0354 memory: 24011 grad_norm: 4.6441 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8151 loss: 0.8151 2022/08/05 00:49:46 - mmengine - INFO - Epoch(train) [42][540/940] lr: 1.0000e-03 eta: 9:42:35 time: 0.6090 data_time: 0.0383 memory: 24011 grad_norm: 5.3072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7739 loss: 0.7739 2022/08/05 00:49:59 - mmengine - INFO - Epoch(train) [42][560/940] lr: 1.0000e-03 eta: 9:42:23 time: 0.6578 data_time: 0.0421 memory: 24011 grad_norm: 5.2530 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7337 loss: 0.7337 2022/08/05 00:50:11 - mmengine - INFO - Epoch(train) [42][580/940] lr: 1.0000e-03 eta: 9:42:10 time: 0.6142 data_time: 0.0433 memory: 24011 grad_norm: 4.6242 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7529 loss: 0.7529 2022/08/05 00:50:24 - mmengine - INFO - Epoch(train) [42][600/940] lr: 1.0000e-03 eta: 9:41:57 time: 0.6383 data_time: 0.0334 memory: 24011 grad_norm: 5.7723 top1_acc: 0.5312 top5_acc: 0.8125 loss_cls: 0.8679 loss: 0.8679 2022/08/05 00:50:37 - mmengine - INFO - Epoch(train) [42][620/940] lr: 1.0000e-03 eta: 9:41:44 time: 0.6144 data_time: 0.0377 memory: 24011 grad_norm: 4.8400 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7776 loss: 0.7776 2022/08/05 00:50:49 - mmengine - INFO - Epoch(train) [42][640/940] lr: 1.0000e-03 eta: 9:41:31 time: 0.6295 data_time: 0.0382 memory: 24011 grad_norm: 4.7441 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8071 loss: 0.8071 2022/08/05 00:51:01 - mmengine - INFO - Epoch(train) [42][660/940] lr: 1.0000e-03 eta: 9:41:17 time: 0.6023 data_time: 0.0408 memory: 24011 grad_norm: 5.4911 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7006 loss: 0.7006 2022/08/05 00:51:14 - mmengine - INFO - Epoch(train) [42][680/940] lr: 1.0000e-03 eta: 9:41:04 time: 0.6202 data_time: 0.0364 memory: 24011 grad_norm: 4.7380 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.8663 loss: 0.8663 2022/08/05 00:51:27 - mmengine - INFO - Epoch(train) [42][700/940] lr: 1.0000e-03 eta: 9:40:52 time: 0.6568 data_time: 0.0375 memory: 24011 grad_norm: 4.9088 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7304 loss: 0.7304 2022/08/05 00:51:39 - mmengine - INFO - Epoch(train) [42][720/940] lr: 1.0000e-03 eta: 9:40:38 time: 0.6001 data_time: 0.0349 memory: 24011 grad_norm: 4.7505 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8376 loss: 0.8376 2022/08/05 00:51:52 - mmengine - INFO - Epoch(train) [42][740/940] lr: 1.0000e-03 eta: 9:40:25 time: 0.6415 data_time: 0.0366 memory: 24011 grad_norm: 4.5559 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7667 loss: 0.7667 2022/08/05 00:52:04 - mmengine - INFO - Epoch(train) [42][760/940] lr: 1.0000e-03 eta: 9:40:13 time: 0.6415 data_time: 0.0334 memory: 24011 grad_norm: 4.6117 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7211 loss: 0.7211 2022/08/05 00:52:17 - mmengine - INFO - Epoch(train) [42][780/940] lr: 1.0000e-03 eta: 9:40:00 time: 0.6204 data_time: 0.0392 memory: 24011 grad_norm: 4.9958 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8003 loss: 0.8003 2022/08/05 00:52:29 - mmengine - INFO - Epoch(train) [42][800/940] lr: 1.0000e-03 eta: 9:39:47 time: 0.6277 data_time: 0.0504 memory: 24011 grad_norm: 9.3524 top1_acc: 0.6562 top5_acc: 0.8125 loss_cls: 0.8192 loss: 0.8192 2022/08/05 00:52:43 - mmengine - INFO - Epoch(train) [42][820/940] lr: 1.0000e-03 eta: 9:39:35 time: 0.6674 data_time: 0.0377 memory: 24011 grad_norm: 4.5463 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7651 loss: 0.7651 2022/08/05 00:52:54 - mmengine - INFO - Epoch(train) [42][840/940] lr: 1.0000e-03 eta: 9:39:21 time: 0.5883 data_time: 0.0323 memory: 24011 grad_norm: 4.9303 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8480 loss: 0.8480 2022/08/05 00:53:07 - mmengine - INFO - Epoch(train) [42][860/940] lr: 1.0000e-03 eta: 9:39:07 time: 0.6126 data_time: 0.0518 memory: 24011 grad_norm: 4.9480 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7517 loss: 0.7517 2022/08/05 00:53:18 - mmengine - INFO - Epoch(train) [42][880/940] lr: 1.0000e-03 eta: 9:38:53 time: 0.5851 data_time: 0.0357 memory: 24011 grad_norm: 5.1195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8043 loss: 0.8043 2022/08/05 00:53:30 - mmengine - INFO - Epoch(train) [42][900/940] lr: 1.0000e-03 eta: 9:38:39 time: 0.6004 data_time: 0.0395 memory: 24011 grad_norm: 4.7093 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.8144 loss: 0.8144 2022/08/05 00:53:43 - mmengine - INFO - Epoch(train) [42][920/940] lr: 1.0000e-03 eta: 9:38:26 time: 0.6232 data_time: 0.0322 memory: 24011 grad_norm: 4.5198 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/05 00:53:55 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 00:53:55 - mmengine - INFO - Epoch(train) [42][940/940] lr: 1.0000e-03 eta: 9:38:13 time: 0.5968 data_time: 0.0538 memory: 24011 grad_norm: 5.2071 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7942 loss: 0.7942 2022/08/05 00:53:55 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/05 00:54:14 - mmengine - INFO - Epoch(val) [42][20/78] eta: 0:00:39 time: 0.6741 data_time: 0.5186 memory: 3625 2022/08/05 00:54:23 - mmengine - INFO - Epoch(val) [42][40/78] eta: 0:00:17 time: 0.4555 data_time: 0.3060 memory: 3625 2022/08/05 00:54:35 - mmengine - INFO - Epoch(val) [42][60/78] eta: 0:00:10 time: 0.5880 data_time: 0.4264 memory: 3625 2022/08/05 00:54:44 - mmengine - INFO - Epoch(val) [42][78/78] acc/top1: 0.7368 acc/top5: 0.9079 acc/mean1: 0.7366 2022/08/05 00:54:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_42.pth is removed 2022/08/05 00:54:47 - mmengine - INFO - The best checkpoint with 0.7368 acc/top1 at 43 epoch is saved to best_acc/top1_epoch_43.pth. 2022/08/05 00:55:04 - mmengine - INFO - Epoch(train) [43][20/940] lr: 1.0000e-03 eta: 9:38:04 time: 0.8051 data_time: 0.2715 memory: 24011 grad_norm: 4.7530 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7412 loss: 0.7412 2022/08/05 00:55:16 - mmengine - INFO - Epoch(train) [43][40/940] lr: 1.0000e-03 eta: 9:37:52 time: 0.6366 data_time: 0.0965 memory: 24011 grad_norm: 4.9782 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8531 loss: 0.8531 2022/08/05 00:55:29 - mmengine - INFO - Epoch(train) [43][60/940] lr: 1.0000e-03 eta: 9:37:39 time: 0.6438 data_time: 0.1059 memory: 24011 grad_norm: 5.4948 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8484 loss: 0.8484 2022/08/05 00:55:41 - mmengine - INFO - Epoch(train) [43][80/940] lr: 1.0000e-03 eta: 9:37:26 time: 0.6107 data_time: 0.0679 memory: 24011 grad_norm: 4.7037 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7377 loss: 0.7377 2022/08/05 00:55:55 - mmengine - INFO - Epoch(train) [43][100/940] lr: 1.0000e-03 eta: 9:37:14 time: 0.6802 data_time: 0.1183 memory: 24011 grad_norm: 4.4934 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7395 loss: 0.7395 2022/08/05 00:56:07 - mmengine - INFO - Epoch(train) [43][120/940] lr: 1.0000e-03 eta: 9:37:00 time: 0.5930 data_time: 0.0419 memory: 24011 grad_norm: 4.6939 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7252 loss: 0.7252 2022/08/05 00:56:19 - mmengine - INFO - Epoch(train) [43][140/940] lr: 1.0000e-03 eta: 9:36:47 time: 0.6145 data_time: 0.0650 memory: 24011 grad_norm: 4.8044 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7898 loss: 0.7898 2022/08/05 00:56:31 - mmengine - INFO - Epoch(train) [43][160/940] lr: 1.0000e-03 eta: 9:36:33 time: 0.6090 data_time: 0.0374 memory: 24011 grad_norm: 4.6941 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7081 loss: 0.7081 2022/08/05 00:56:45 - mmengine - INFO - Epoch(train) [43][180/940] lr: 1.0000e-03 eta: 9:36:22 time: 0.6641 data_time: 0.1150 memory: 24011 grad_norm: 4.8626 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7618 loss: 0.7618 2022/08/05 00:56:57 - mmengine - INFO - Epoch(train) [43][200/940] lr: 1.0000e-03 eta: 9:36:08 time: 0.5942 data_time: 0.0421 memory: 24011 grad_norm: 4.8900 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.7735 loss: 0.7735 2022/08/05 00:57:09 - mmengine - INFO - Epoch(train) [43][220/940] lr: 1.0000e-03 eta: 9:35:54 time: 0.6107 data_time: 0.0453 memory: 24011 grad_norm: 5.2589 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7346 loss: 0.7346 2022/08/05 00:57:21 - mmengine - INFO - Epoch(train) [43][240/940] lr: 1.0000e-03 eta: 9:35:41 time: 0.6295 data_time: 0.0732 memory: 24011 grad_norm: 4.7726 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7441 loss: 0.7441 2022/08/05 00:57:34 - mmengine - INFO - Epoch(train) [43][260/940] lr: 1.0000e-03 eta: 9:35:29 time: 0.6512 data_time: 0.0942 memory: 24011 grad_norm: 4.6993 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7218 loss: 0.7218 2022/08/05 00:57:46 - mmengine - INFO - Epoch(train) [43][280/940] lr: 1.0000e-03 eta: 9:35:15 time: 0.6050 data_time: 0.0426 memory: 24011 grad_norm: 5.2541 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7639 loss: 0.7639 2022/08/05 00:58:00 - mmengine - INFO - Epoch(train) [43][300/940] lr: 1.0000e-03 eta: 9:35:03 time: 0.6536 data_time: 0.0713 memory: 24011 grad_norm: 4.5217 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7840 loss: 0.7840 2022/08/05 00:58:12 - mmengine - INFO - Epoch(train) [43][320/940] lr: 1.0000e-03 eta: 9:34:50 time: 0.6332 data_time: 0.0477 memory: 24011 grad_norm: 4.6380 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6802 loss: 0.6802 2022/08/05 00:58:24 - mmengine - INFO - Epoch(train) [43][340/940] lr: 1.0000e-03 eta: 9:34:37 time: 0.6010 data_time: 0.0424 memory: 24011 grad_norm: 4.5551 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7619 loss: 0.7619 2022/08/05 00:58:36 - mmengine - INFO - Epoch(train) [43][360/940] lr: 1.0000e-03 eta: 9:34:22 time: 0.5758 data_time: 0.0295 memory: 24011 grad_norm: 5.2018 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7264 loss: 0.7264 2022/08/05 00:58:48 - mmengine - INFO - Epoch(train) [43][380/940] lr: 1.0000e-03 eta: 9:34:08 time: 0.5930 data_time: 0.0394 memory: 24011 grad_norm: 4.8565 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7438 loss: 0.7438 2022/08/05 00:59:00 - mmengine - INFO - Epoch(train) [43][400/940] lr: 1.0000e-03 eta: 9:33:55 time: 0.6058 data_time: 0.0336 memory: 24011 grad_norm: 4.8235 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8746 loss: 0.8746 2022/08/05 00:59:13 - mmengine - INFO - Epoch(train) [43][420/940] lr: 1.0000e-03 eta: 9:33:43 time: 0.6690 data_time: 0.0404 memory: 24011 grad_norm: 4.9433 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6808 loss: 0.6808 2022/08/05 00:59:26 - mmengine - INFO - Epoch(train) [43][440/940] lr: 1.0000e-03 eta: 9:33:30 time: 0.6327 data_time: 0.0299 memory: 24011 grad_norm: 5.4274 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6958 loss: 0.6958 2022/08/05 00:59:38 - mmengine - INFO - Epoch(train) [43][460/940] lr: 1.0000e-03 eta: 9:33:17 time: 0.6246 data_time: 0.0577 memory: 24011 grad_norm: 5.7630 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8004 loss: 0.8004 2022/08/05 00:59:51 - mmengine - INFO - Epoch(train) [43][480/940] lr: 1.0000e-03 eta: 9:33:04 time: 0.6131 data_time: 0.0304 memory: 24011 grad_norm: 5.1147 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7802 loss: 0.7802 2022/08/05 01:00:04 - mmengine - INFO - Epoch(train) [43][500/940] lr: 1.0000e-03 eta: 9:32:52 time: 0.6592 data_time: 0.0346 memory: 24011 grad_norm: 6.1880 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8180 loss: 0.8180 2022/08/05 01:00:16 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:00:16 - mmengine - INFO - Epoch(train) [43][520/940] lr: 1.0000e-03 eta: 9:32:38 time: 0.6171 data_time: 0.0350 memory: 24011 grad_norm: 5.0507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7995 loss: 0.7995 2022/08/05 01:00:29 - mmengine - INFO - Epoch(train) [43][540/940] lr: 1.0000e-03 eta: 9:32:26 time: 0.6486 data_time: 0.0367 memory: 24011 grad_norm: 4.6658 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7361 loss: 0.7361 2022/08/05 01:00:42 - mmengine - INFO - Epoch(train) [43][560/940] lr: 1.0000e-03 eta: 9:32:13 time: 0.6310 data_time: 0.0370 memory: 24011 grad_norm: 4.7381 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7421 loss: 0.7421 2022/08/05 01:00:54 - mmengine - INFO - Epoch(train) [43][580/940] lr: 1.0000e-03 eta: 9:31:59 time: 0.5977 data_time: 0.0387 memory: 24011 grad_norm: 4.8855 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7979 loss: 0.7979 2022/08/05 01:01:06 - mmengine - INFO - Epoch(train) [43][600/940] lr: 1.0000e-03 eta: 9:31:46 time: 0.6132 data_time: 0.0367 memory: 24011 grad_norm: 4.9124 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7729 loss: 0.7729 2022/08/05 01:01:18 - mmengine - INFO - Epoch(train) [43][620/940] lr: 1.0000e-03 eta: 9:31:33 time: 0.6067 data_time: 0.0344 memory: 24011 grad_norm: 5.0339 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7002 loss: 0.7002 2022/08/05 01:01:30 - mmengine - INFO - Epoch(train) [43][640/940] lr: 1.0000e-03 eta: 9:31:19 time: 0.6192 data_time: 0.0314 memory: 24011 grad_norm: 4.9635 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7030 loss: 0.7030 2022/08/05 01:01:43 - mmengine - INFO - Epoch(train) [43][660/940] lr: 1.0000e-03 eta: 9:31:07 time: 0.6524 data_time: 0.0355 memory: 24011 grad_norm: 4.7243 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.8342 loss: 0.8342 2022/08/05 01:01:56 - mmengine - INFO - Epoch(train) [43][680/940] lr: 1.0000e-03 eta: 9:30:53 time: 0.6039 data_time: 0.0407 memory: 24011 grad_norm: 4.9158 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7841 loss: 0.7841 2022/08/05 01:02:08 - mmengine - INFO - Epoch(train) [43][700/940] lr: 1.0000e-03 eta: 9:30:40 time: 0.6106 data_time: 0.0376 memory: 24011 grad_norm: 4.8462 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7152 loss: 0.7152 2022/08/05 01:02:20 - mmengine - INFO - Epoch(train) [43][720/940] lr: 1.0000e-03 eta: 9:30:27 time: 0.6079 data_time: 0.0371 memory: 24011 grad_norm: 5.9245 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7315 loss: 0.7315 2022/08/05 01:02:33 - mmengine - INFO - Epoch(train) [43][740/940] lr: 1.0000e-03 eta: 9:30:14 time: 0.6448 data_time: 0.0401 memory: 24011 grad_norm: 5.0221 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6559 loss: 0.6559 2022/08/05 01:02:45 - mmengine - INFO - Epoch(train) [43][760/940] lr: 1.0000e-03 eta: 9:30:01 time: 0.6271 data_time: 0.0329 memory: 24011 grad_norm: 4.9263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7585 loss: 0.7585 2022/08/05 01:02:58 - mmengine - INFO - Epoch(train) [43][780/940] lr: 1.0000e-03 eta: 9:29:48 time: 0.6154 data_time: 0.0348 memory: 24011 grad_norm: 4.9818 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8020 loss: 0.8020 2022/08/05 01:03:10 - mmengine - INFO - Epoch(train) [43][800/940] lr: 1.0000e-03 eta: 9:29:34 time: 0.6000 data_time: 0.0346 memory: 24011 grad_norm: 5.0452 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.7881 loss: 0.7881 2022/08/05 01:03:22 - mmengine - INFO - Epoch(train) [43][820/940] lr: 1.0000e-03 eta: 9:29:21 time: 0.6205 data_time: 0.0427 memory: 24011 grad_norm: 4.7433 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7222 loss: 0.7222 2022/08/05 01:03:35 - mmengine - INFO - Epoch(train) [43][840/940] lr: 1.0000e-03 eta: 9:29:08 time: 0.6393 data_time: 0.0310 memory: 24011 grad_norm: 4.4880 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7421 loss: 0.7421 2022/08/05 01:03:48 - mmengine - INFO - Epoch(train) [43][860/940] lr: 1.0000e-03 eta: 9:28:56 time: 0.6532 data_time: 0.0430 memory: 24011 grad_norm: 5.3255 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/05 01:04:01 - mmengine - INFO - Epoch(train) [43][880/940] lr: 1.0000e-03 eta: 9:28:44 time: 0.6520 data_time: 0.0362 memory: 24011 grad_norm: 9.6816 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7341 loss: 0.7341 2022/08/05 01:04:14 - mmengine - INFO - Epoch(train) [43][900/940] lr: 1.0000e-03 eta: 9:28:31 time: 0.6390 data_time: 0.0428 memory: 24011 grad_norm: 4.6667 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6760 loss: 0.6760 2022/08/05 01:04:26 - mmengine - INFO - Epoch(train) [43][920/940] lr: 1.0000e-03 eta: 9:28:18 time: 0.6065 data_time: 0.0415 memory: 24011 grad_norm: 4.8929 top1_acc: 0.7188 top5_acc: 0.7812 loss_cls: 0.8595 loss: 0.8595 2022/08/05 01:04:37 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:04:37 - mmengine - INFO - Epoch(train) [43][940/940] lr: 1.0000e-03 eta: 9:28:02 time: 0.5309 data_time: 0.0261 memory: 24011 grad_norm: 5.3525 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 0.8626 loss: 0.8626 2022/08/05 01:04:50 - mmengine - INFO - Epoch(val) [43][20/78] eta: 0:00:38 time: 0.6710 data_time: 0.5149 memory: 3625 2022/08/05 01:04:59 - mmengine - INFO - Epoch(val) [43][40/78] eta: 0:00:16 time: 0.4346 data_time: 0.2814 memory: 3625 2022/08/05 01:05:11 - mmengine - INFO - Epoch(val) [43][60/78] eta: 0:00:11 time: 0.6177 data_time: 0.4603 memory: 3625 2022/08/05 01:05:21 - mmengine - INFO - Epoch(val) [43][78/78] acc/top1: 0.7366 acc/top5: 0.9083 acc/mean1: 0.7365 2022/08/05 01:05:39 - mmengine - INFO - Epoch(train) [44][20/940] lr: 1.0000e-03 eta: 9:27:56 time: 0.8694 data_time: 0.2468 memory: 24011 grad_norm: 6.5023 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.7373 loss: 0.7373 2022/08/05 01:05:51 - mmengine - INFO - Epoch(train) [44][40/940] lr: 1.0000e-03 eta: 9:27:43 time: 0.6243 data_time: 0.0356 memory: 24011 grad_norm: 4.9122 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.8171 loss: 0.8171 2022/08/05 01:06:04 - mmengine - INFO - Epoch(train) [44][60/940] lr: 1.0000e-03 eta: 9:27:29 time: 0.6205 data_time: 0.0541 memory: 24011 grad_norm: 4.7918 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8321 loss: 0.8321 2022/08/05 01:06:17 - mmengine - INFO - Epoch(train) [44][80/940] lr: 1.0000e-03 eta: 9:27:17 time: 0.6460 data_time: 0.0375 memory: 24011 grad_norm: 4.5842 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.8574 loss: 0.8574 2022/08/05 01:06:29 - mmengine - INFO - Epoch(train) [44][100/940] lr: 1.0000e-03 eta: 9:27:04 time: 0.6299 data_time: 0.0377 memory: 24011 grad_norm: 5.6199 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.9215 loss: 0.9215 2022/08/05 01:06:42 - mmengine - INFO - Epoch(train) [44][120/940] lr: 1.0000e-03 eta: 9:26:51 time: 0.6202 data_time: 0.0296 memory: 24011 grad_norm: 4.7686 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7818 loss: 0.7818 2022/08/05 01:06:54 - mmengine - INFO - Epoch(train) [44][140/940] lr: 1.0000e-03 eta: 9:26:38 time: 0.6170 data_time: 0.0487 memory: 24011 grad_norm: 5.3287 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8013 loss: 0.8013 2022/08/05 01:07:07 - mmengine - INFO - Epoch(train) [44][160/940] lr: 1.0000e-03 eta: 9:26:25 time: 0.6342 data_time: 0.0258 memory: 24011 grad_norm: 4.7467 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6475 loss: 0.6475 2022/08/05 01:07:19 - mmengine - INFO - Epoch(train) [44][180/940] lr: 1.0000e-03 eta: 9:26:12 time: 0.6374 data_time: 0.0435 memory: 24011 grad_norm: 4.8356 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.8401 loss: 0.8401 2022/08/05 01:07:31 - mmengine - INFO - Epoch(train) [44][200/940] lr: 1.0000e-03 eta: 9:25:58 time: 0.5735 data_time: 0.0306 memory: 24011 grad_norm: 5.0414 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7047 loss: 0.7047 2022/08/05 01:07:43 - mmengine - INFO - Epoch(train) [44][220/940] lr: 1.0000e-03 eta: 9:25:45 time: 0.6173 data_time: 0.0684 memory: 24011 grad_norm: 5.2899 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.7012 loss: 0.7012 2022/08/05 01:07:55 - mmengine - INFO - Epoch(train) [44][240/940] lr: 1.0000e-03 eta: 9:25:31 time: 0.6054 data_time: 0.0312 memory: 24011 grad_norm: 4.8373 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7483 loss: 0.7483 2022/08/05 01:08:08 - mmengine - INFO - Epoch(train) [44][260/940] lr: 1.0000e-03 eta: 9:25:19 time: 0.6464 data_time: 0.0592 memory: 24011 grad_norm: 4.5275 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7213 loss: 0.7213 2022/08/05 01:08:21 - mmengine - INFO - Epoch(train) [44][280/940] lr: 1.0000e-03 eta: 9:25:06 time: 0.6302 data_time: 0.0332 memory: 24011 grad_norm: 4.9947 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7901 loss: 0.7901 2022/08/05 01:08:34 - mmengine - INFO - Epoch(train) [44][300/940] lr: 1.0000e-03 eta: 9:24:53 time: 0.6500 data_time: 0.0413 memory: 24011 grad_norm: 4.7590 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.8423 loss: 0.8423 2022/08/05 01:08:47 - mmengine - INFO - Epoch(train) [44][320/940] lr: 1.0000e-03 eta: 9:24:41 time: 0.6605 data_time: 0.0338 memory: 24011 grad_norm: 4.8897 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6595 loss: 0.6595 2022/08/05 01:08:59 - mmengine - INFO - Epoch(train) [44][340/940] lr: 1.0000e-03 eta: 9:24:28 time: 0.6147 data_time: 0.0356 memory: 24011 grad_norm: 4.4919 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7442 loss: 0.7442 2022/08/05 01:09:11 - mmengine - INFO - Epoch(train) [44][360/940] lr: 1.0000e-03 eta: 9:24:14 time: 0.6020 data_time: 0.0360 memory: 24011 grad_norm: 4.7439 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7088 loss: 0.7088 2022/08/05 01:09:24 - mmengine - INFO - Epoch(train) [44][380/940] lr: 1.0000e-03 eta: 9:24:02 time: 0.6501 data_time: 0.0370 memory: 24011 grad_norm: 4.7730 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7342 loss: 0.7342 2022/08/05 01:09:37 - mmengine - INFO - Epoch(train) [44][400/940] lr: 1.0000e-03 eta: 9:23:49 time: 0.6333 data_time: 0.0399 memory: 24011 grad_norm: 4.7376 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7783 loss: 0.7783 2022/08/05 01:09:49 - mmengine - INFO - Epoch(train) [44][420/940] lr: 1.0000e-03 eta: 9:23:35 time: 0.5852 data_time: 0.0401 memory: 24011 grad_norm: 5.1262 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.8031 loss: 0.8031 2022/08/05 01:10:01 - mmengine - INFO - Epoch(train) [44][440/940] lr: 1.0000e-03 eta: 9:23:22 time: 0.6109 data_time: 0.0318 memory: 24011 grad_norm: 5.1943 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7987 loss: 0.7987 2022/08/05 01:10:14 - mmengine - INFO - Epoch(train) [44][460/940] lr: 1.0000e-03 eta: 9:23:09 time: 0.6272 data_time: 0.0406 memory: 24011 grad_norm: 5.1593 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.7162 loss: 0.7162 2022/08/05 01:10:26 - mmengine - INFO - Epoch(train) [44][480/940] lr: 1.0000e-03 eta: 9:22:56 time: 0.6238 data_time: 0.0363 memory: 24011 grad_norm: 4.6536 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.8060 loss: 0.8060 2022/08/05 01:10:38 - mmengine - INFO - Epoch(train) [44][500/940] lr: 1.0000e-03 eta: 9:22:42 time: 0.6047 data_time: 0.0371 memory: 24011 grad_norm: 5.2725 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8184 loss: 0.8184 2022/08/05 01:10:51 - mmengine - INFO - Epoch(train) [44][520/940] lr: 1.0000e-03 eta: 9:22:29 time: 0.6294 data_time: 0.0328 memory: 24011 grad_norm: 5.6523 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7612 loss: 0.7612 2022/08/05 01:11:04 - mmengine - INFO - Epoch(train) [44][540/940] lr: 1.0000e-03 eta: 9:22:17 time: 0.6429 data_time: 0.0427 memory: 24011 grad_norm: 4.5406 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7098 loss: 0.7098 2022/08/05 01:11:16 - mmengine - INFO - Epoch(train) [44][560/940] lr: 1.0000e-03 eta: 9:22:03 time: 0.6030 data_time: 0.0329 memory: 24011 grad_norm: 5.0474 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6796 loss: 0.6796 2022/08/05 01:11:29 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:11:29 - mmengine - INFO - Epoch(train) [44][580/940] lr: 1.0000e-03 eta: 9:21:51 time: 0.6562 data_time: 0.0391 memory: 24011 grad_norm: 4.9621 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7406 loss: 0.7406 2022/08/05 01:11:41 - mmengine - INFO - Epoch(train) [44][600/940] lr: 1.0000e-03 eta: 9:21:38 time: 0.6188 data_time: 0.0351 memory: 24011 grad_norm: 4.7086 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7981 loss: 0.7981 2022/08/05 01:11:54 - mmengine - INFO - Epoch(train) [44][620/940] lr: 1.0000e-03 eta: 9:21:25 time: 0.6283 data_time: 0.0347 memory: 24011 grad_norm: 4.7231 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6883 loss: 0.6883 2022/08/05 01:12:06 - mmengine - INFO - Epoch(train) [44][640/940] lr: 1.0000e-03 eta: 9:21:12 time: 0.6337 data_time: 0.0340 memory: 24011 grad_norm: 4.8718 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7131 loss: 0.7131 2022/08/05 01:12:19 - mmengine - INFO - Epoch(train) [44][660/940] lr: 1.0000e-03 eta: 9:20:59 time: 0.6107 data_time: 0.0378 memory: 24011 grad_norm: 5.4399 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7287 loss: 0.7287 2022/08/05 01:12:31 - mmengine - INFO - Epoch(train) [44][680/940] lr: 1.0000e-03 eta: 9:20:46 time: 0.6170 data_time: 0.0381 memory: 24011 grad_norm: 4.6672 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6598 loss: 0.6598 2022/08/05 01:12:43 - mmengine - INFO - Epoch(train) [44][700/940] lr: 1.0000e-03 eta: 9:20:32 time: 0.6123 data_time: 0.0391 memory: 24011 grad_norm: 4.8249 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7206 loss: 0.7206 2022/08/05 01:12:56 - mmengine - INFO - Epoch(train) [44][720/940] lr: 1.0000e-03 eta: 9:20:20 time: 0.6565 data_time: 0.0351 memory: 24011 grad_norm: 5.3462 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7683 loss: 0.7683 2022/08/05 01:13:09 - mmengine - INFO - Epoch(train) [44][740/940] lr: 1.0000e-03 eta: 9:20:07 time: 0.6151 data_time: 0.0383 memory: 24011 grad_norm: 4.6741 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6604 loss: 0.6604 2022/08/05 01:13:22 - mmengine - INFO - Epoch(train) [44][760/940] lr: 1.0000e-03 eta: 9:19:55 time: 0.6739 data_time: 0.0358 memory: 24011 grad_norm: 5.7644 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7167 loss: 0.7167 2022/08/05 01:13:34 - mmengine - INFO - Epoch(train) [44][780/940] lr: 1.0000e-03 eta: 9:19:42 time: 0.6127 data_time: 0.0318 memory: 24011 grad_norm: 5.7277 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8573 loss: 0.8573 2022/08/05 01:13:47 - mmengine - INFO - Epoch(train) [44][800/940] lr: 1.0000e-03 eta: 9:19:28 time: 0.6107 data_time: 0.0560 memory: 24011 grad_norm: 4.7977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7932 loss: 0.7932 2022/08/05 01:13:58 - mmengine - INFO - Epoch(train) [44][820/940] lr: 1.0000e-03 eta: 9:19:14 time: 0.5844 data_time: 0.0399 memory: 24011 grad_norm: 4.8053 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7121 loss: 0.7121 2022/08/05 01:14:11 - mmengine - INFO - Epoch(train) [44][840/940] lr: 1.0000e-03 eta: 9:19:02 time: 0.6463 data_time: 0.0355 memory: 24011 grad_norm: 5.3676 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8461 loss: 0.8461 2022/08/05 01:14:24 - mmengine - INFO - Epoch(train) [44][860/940] lr: 1.0000e-03 eta: 9:18:49 time: 0.6481 data_time: 0.0350 memory: 24011 grad_norm: 4.8862 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7411 loss: 0.7411 2022/08/05 01:14:36 - mmengine - INFO - Epoch(train) [44][880/940] lr: 1.0000e-03 eta: 9:18:36 time: 0.5893 data_time: 0.0343 memory: 24011 grad_norm: 5.1599 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7255 loss: 0.7255 2022/08/05 01:14:48 - mmengine - INFO - Epoch(train) [44][900/940] lr: 1.0000e-03 eta: 9:18:22 time: 0.6162 data_time: 0.0346 memory: 24011 grad_norm: 4.7154 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7931 loss: 0.7931 2022/08/05 01:15:01 - mmengine - INFO - Epoch(train) [44][920/940] lr: 1.0000e-03 eta: 9:18:10 time: 0.6510 data_time: 0.0362 memory: 24011 grad_norm: 4.8627 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7286 loss: 0.7286 2022/08/05 01:15:12 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:15:12 - mmengine - INFO - Epoch(train) [44][940/940] lr: 1.0000e-03 eta: 9:17:55 time: 0.5286 data_time: 0.0298 memory: 24011 grad_norm: 4.9449 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7478 loss: 0.7478 2022/08/05 01:15:26 - mmengine - INFO - Epoch(val) [44][20/78] eta: 0:00:39 time: 0.6726 data_time: 0.5151 memory: 3625 2022/08/05 01:15:34 - mmengine - INFO - Epoch(val) [44][40/78] eta: 0:00:16 time: 0.4429 data_time: 0.2897 memory: 3625 2022/08/05 01:15:47 - mmengine - INFO - Epoch(val) [44][60/78] eta: 0:00:11 time: 0.6129 data_time: 0.4588 memory: 3625 2022/08/05 01:15:57 - mmengine - INFO - Epoch(val) [44][78/78] acc/top1: 0.7374 acc/top5: 0.9096 acc/mean1: 0.7372 2022/08/05 01:15:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_43.pth is removed 2022/08/05 01:16:00 - mmengine - INFO - The best checkpoint with 0.7374 acc/top1 at 45 epoch is saved to best_acc/top1_epoch_45.pth. 2022/08/05 01:16:17 - mmengine - INFO - Epoch(train) [45][20/940] lr: 1.0000e-03 eta: 9:17:47 time: 0.8388 data_time: 0.2949 memory: 24011 grad_norm: 4.8503 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7669 loss: 0.7669 2022/08/05 01:16:29 - mmengine - INFO - Epoch(train) [45][40/940] lr: 1.0000e-03 eta: 9:17:34 time: 0.6099 data_time: 0.0726 memory: 24011 grad_norm: 4.9818 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7788 loss: 0.7788 2022/08/05 01:16:42 - mmengine - INFO - Epoch(train) [45][60/940] lr: 1.0000e-03 eta: 9:17:21 time: 0.6507 data_time: 0.0970 memory: 24011 grad_norm: 4.6565 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7214 loss: 0.7214 2022/08/05 01:16:55 - mmengine - INFO - Epoch(train) [45][80/940] lr: 1.0000e-03 eta: 9:17:09 time: 0.6469 data_time: 0.1022 memory: 24011 grad_norm: 4.7370 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6940 loss: 0.6940 2022/08/05 01:17:08 - mmengine - INFO - Epoch(train) [45][100/940] lr: 1.0000e-03 eta: 9:16:56 time: 0.6329 data_time: 0.0787 memory: 24011 grad_norm: 4.9308 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7177 loss: 0.7177 2022/08/05 01:17:20 - mmengine - INFO - Epoch(train) [45][120/940] lr: 1.0000e-03 eta: 9:16:43 time: 0.6444 data_time: 0.0683 memory: 24011 grad_norm: 4.7723 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7799 loss: 0.7799 2022/08/05 01:17:32 - mmengine - INFO - Epoch(train) [45][140/940] lr: 1.0000e-03 eta: 9:16:30 time: 0.5902 data_time: 0.0331 memory: 24011 grad_norm: 5.0795 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7062 loss: 0.7062 2022/08/05 01:17:45 - mmengine - INFO - Epoch(train) [45][160/940] lr: 1.0000e-03 eta: 9:16:16 time: 0.6135 data_time: 0.0532 memory: 24011 grad_norm: 4.7893 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7378 loss: 0.7378 2022/08/05 01:17:57 - mmengine - INFO - Epoch(train) [45][180/940] lr: 1.0000e-03 eta: 9:16:03 time: 0.6290 data_time: 0.0649 memory: 24011 grad_norm: 4.8413 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6966 loss: 0.6966 2022/08/05 01:18:09 - mmengine - INFO - Epoch(train) [45][200/940] lr: 1.0000e-03 eta: 9:15:50 time: 0.6088 data_time: 0.0430 memory: 24011 grad_norm: 4.7149 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7261 loss: 0.7261 2022/08/05 01:18:23 - mmengine - INFO - Epoch(train) [45][220/940] lr: 1.0000e-03 eta: 9:15:38 time: 0.6700 data_time: 0.0750 memory: 24011 grad_norm: 4.6014 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6926 loss: 0.6926 2022/08/05 01:18:35 - mmengine - INFO - Epoch(train) [45][240/940] lr: 1.0000e-03 eta: 9:15:25 time: 0.6233 data_time: 0.0645 memory: 24011 grad_norm: 4.7930 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.8104 loss: 0.8104 2022/08/05 01:18:47 - mmengine - INFO - Epoch(train) [45][260/940] lr: 1.0000e-03 eta: 9:15:12 time: 0.6088 data_time: 0.0498 memory: 24011 grad_norm: 4.7850 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.8098 loss: 0.8098 2022/08/05 01:19:00 - mmengine - INFO - Epoch(train) [45][280/940] lr: 1.0000e-03 eta: 9:14:58 time: 0.6087 data_time: 0.0466 memory: 24011 grad_norm: 4.7012 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.7803 loss: 0.7803 2022/08/05 01:19:11 - mmengine - INFO - Epoch(train) [45][300/940] lr: 1.0000e-03 eta: 9:14:45 time: 0.5966 data_time: 0.0370 memory: 24011 grad_norm: 4.7875 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7952 loss: 0.7952 2022/08/05 01:19:24 - mmengine - INFO - Epoch(train) [45][320/940] lr: 1.0000e-03 eta: 9:14:32 time: 0.6352 data_time: 0.0769 memory: 24011 grad_norm: 4.7682 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7342 loss: 0.7342 2022/08/05 01:19:37 - mmengine - INFO - Epoch(train) [45][340/940] lr: 1.0000e-03 eta: 9:14:19 time: 0.6347 data_time: 0.0511 memory: 24011 grad_norm: 4.8796 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7494 loss: 0.7494 2022/08/05 01:19:49 - mmengine - INFO - Epoch(train) [45][360/940] lr: 1.0000e-03 eta: 9:14:06 time: 0.6067 data_time: 0.0454 memory: 24011 grad_norm: 5.3271 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6331 loss: 0.6331 2022/08/05 01:20:02 - mmengine - INFO - Epoch(train) [45][380/940] lr: 1.0000e-03 eta: 9:13:54 time: 0.6672 data_time: 0.1064 memory: 24011 grad_norm: 4.8493 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8147 loss: 0.8147 2022/08/05 01:20:15 - mmengine - INFO - Epoch(train) [45][400/940] lr: 1.0000e-03 eta: 9:13:41 time: 0.6278 data_time: 0.0641 memory: 24011 grad_norm: 4.9308 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7294 loss: 0.7294 2022/08/05 01:20:27 - mmengine - INFO - Epoch(train) [45][420/940] lr: 1.0000e-03 eta: 9:13:27 time: 0.6016 data_time: 0.0320 memory: 24011 grad_norm: 4.7272 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7443 loss: 0.7443 2022/08/05 01:20:39 - mmengine - INFO - Epoch(train) [45][440/940] lr: 1.0000e-03 eta: 9:13:13 time: 0.5816 data_time: 0.0309 memory: 24011 grad_norm: 4.7389 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.6538 loss: 0.6538 2022/08/05 01:20:51 - mmengine - INFO - Epoch(train) [45][460/940] lr: 1.0000e-03 eta: 9:13:00 time: 0.6036 data_time: 0.0333 memory: 24011 grad_norm: 4.7225 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7078 loss: 0.7078 2022/08/05 01:21:03 - mmengine - INFO - Epoch(train) [45][480/940] lr: 1.0000e-03 eta: 9:12:46 time: 0.6136 data_time: 0.0569 memory: 24011 grad_norm: 4.9552 top1_acc: 0.5625 top5_acc: 0.8438 loss_cls: 0.8045 loss: 0.8045 2022/08/05 01:21:16 - mmengine - INFO - Epoch(train) [45][500/940] lr: 1.0000e-03 eta: 9:12:34 time: 0.6614 data_time: 0.0565 memory: 24011 grad_norm: 5.3169 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8034 loss: 0.8034 2022/08/05 01:21:28 - mmengine - INFO - Epoch(train) [45][520/940] lr: 1.0000e-03 eta: 9:12:21 time: 0.6043 data_time: 0.0316 memory: 24011 grad_norm: 5.2364 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8535 loss: 0.8535 2022/08/05 01:21:41 - mmengine - INFO - Epoch(train) [45][540/940] lr: 1.0000e-03 eta: 9:12:08 time: 0.6306 data_time: 0.0377 memory: 24011 grad_norm: 4.6275 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7934 loss: 0.7934 2022/08/05 01:21:53 - mmengine - INFO - Epoch(train) [45][560/940] lr: 1.0000e-03 eta: 9:11:54 time: 0.6026 data_time: 0.0400 memory: 24011 grad_norm: 5.3322 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7861 loss: 0.7861 2022/08/05 01:22:06 - mmengine - INFO - Epoch(train) [45][580/940] lr: 1.0000e-03 eta: 9:11:42 time: 0.6529 data_time: 0.0954 memory: 24011 grad_norm: 5.1817 top1_acc: 0.5938 top5_acc: 0.7500 loss_cls: 0.7602 loss: 0.7602 2022/08/05 01:22:18 - mmengine - INFO - Epoch(train) [45][600/940] lr: 1.0000e-03 eta: 9:11:29 time: 0.6227 data_time: 0.0467 memory: 24011 grad_norm: 4.6666 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7336 loss: 0.7336 2022/08/05 01:22:31 - mmengine - INFO - Epoch(train) [45][620/940] lr: 1.0000e-03 eta: 9:11:16 time: 0.6308 data_time: 0.0591 memory: 24011 grad_norm: 4.7317 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7559 loss: 0.7559 2022/08/05 01:22:44 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:22:44 - mmengine - INFO - Epoch(train) [45][640/940] lr: 1.0000e-03 eta: 9:11:03 time: 0.6289 data_time: 0.0558 memory: 24011 grad_norm: 5.0201 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6989 loss: 0.6989 2022/08/05 01:22:56 - mmengine - INFO - Epoch(train) [45][660/940] lr: 1.0000e-03 eta: 9:10:51 time: 0.6352 data_time: 0.0373 memory: 24011 grad_norm: 4.6794 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6799 loss: 0.6799 2022/08/05 01:23:08 - mmengine - INFO - Epoch(train) [45][680/940] lr: 1.0000e-03 eta: 9:10:37 time: 0.5916 data_time: 0.0295 memory: 24011 grad_norm: 4.9116 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.7241 loss: 0.7241 2022/08/05 01:23:21 - mmengine - INFO - Epoch(train) [45][700/940] lr: 1.0000e-03 eta: 9:10:24 time: 0.6345 data_time: 0.0700 memory: 24011 grad_norm: 4.7585 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7803 loss: 0.7803 2022/08/05 01:23:33 - mmengine - INFO - Epoch(train) [45][720/940] lr: 1.0000e-03 eta: 9:10:11 time: 0.6080 data_time: 0.0265 memory: 24011 grad_norm: 5.2366 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7750 loss: 0.7750 2022/08/05 01:23:46 - mmengine - INFO - Epoch(train) [45][740/940] lr: 1.0000e-03 eta: 9:09:58 time: 0.6529 data_time: 0.0361 memory: 24011 grad_norm: 4.7510 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6785 loss: 0.6785 2022/08/05 01:23:58 - mmengine - INFO - Epoch(train) [45][760/940] lr: 1.0000e-03 eta: 9:09:45 time: 0.6091 data_time: 0.0369 memory: 24011 grad_norm: 4.7906 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7575 loss: 0.7575 2022/08/05 01:24:12 - mmengine - INFO - Epoch(train) [45][780/940] lr: 1.0000e-03 eta: 9:09:33 time: 0.6855 data_time: 0.0380 memory: 24011 grad_norm: 5.3200 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7968 loss: 0.7968 2022/08/05 01:24:24 - mmengine - INFO - Epoch(train) [45][800/940] lr: 1.0000e-03 eta: 9:09:20 time: 0.6151 data_time: 0.0274 memory: 24011 grad_norm: 4.7997 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6651 loss: 0.6651 2022/08/05 01:24:37 - mmengine - INFO - Epoch(train) [45][820/940] lr: 1.0000e-03 eta: 9:09:07 time: 0.6149 data_time: 0.0394 memory: 24011 grad_norm: 4.8912 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6873 loss: 0.6873 2022/08/05 01:24:49 - mmengine - INFO - Epoch(train) [45][840/940] lr: 1.0000e-03 eta: 9:08:53 time: 0.6012 data_time: 0.0341 memory: 24011 grad_norm: 4.6760 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6384 loss: 0.6384 2022/08/05 01:25:02 - mmengine - INFO - Epoch(train) [45][860/940] lr: 1.0000e-03 eta: 9:08:42 time: 0.6820 data_time: 0.1360 memory: 24011 grad_norm: 4.8460 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6932 loss: 0.6932 2022/08/05 01:25:14 - mmengine - INFO - Epoch(train) [45][880/940] lr: 1.0000e-03 eta: 9:08:28 time: 0.5891 data_time: 0.0340 memory: 24011 grad_norm: 4.7496 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7752 loss: 0.7752 2022/08/05 01:25:27 - mmengine - INFO - Epoch(train) [45][900/940] lr: 1.0000e-03 eta: 9:08:15 time: 0.6398 data_time: 0.0860 memory: 24011 grad_norm: 4.6821 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8118 loss: 0.8118 2022/08/05 01:25:39 - mmengine - INFO - Epoch(train) [45][920/940] lr: 1.0000e-03 eta: 9:08:02 time: 0.6027 data_time: 0.0459 memory: 24011 grad_norm: 4.7566 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6791 loss: 0.6791 2022/08/05 01:25:50 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:25:50 - mmengine - INFO - Epoch(train) [45][940/940] lr: 1.0000e-03 eta: 9:07:47 time: 0.5455 data_time: 0.0233 memory: 24011 grad_norm: 5.0847 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7310 loss: 0.7310 2022/08/05 01:25:50 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/05 01:26:10 - mmengine - INFO - Epoch(val) [45][20/78] eta: 0:00:39 time: 0.6858 data_time: 0.5340 memory: 3625 2022/08/05 01:26:18 - mmengine - INFO - Epoch(val) [45][40/78] eta: 0:00:16 time: 0.4351 data_time: 0.2855 memory: 3625 2022/08/05 01:26:30 - mmengine - INFO - Epoch(val) [45][60/78] eta: 0:00:10 time: 0.5992 data_time: 0.4389 memory: 3625 2022/08/05 01:26:40 - mmengine - INFO - Epoch(val) [45][78/78] acc/top1: 0.7371 acc/top5: 0.9090 acc/mean1: 0.7369 2022/08/05 01:26:59 - mmengine - INFO - Epoch(train) [46][20/940] lr: 1.0000e-03 eta: 9:07:41 time: 0.9081 data_time: 0.2396 memory: 24011 grad_norm: 4.7154 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7664 loss: 0.7664 2022/08/05 01:27:11 - mmengine - INFO - Epoch(train) [46][40/940] lr: 1.0000e-03 eta: 9:07:28 time: 0.6095 data_time: 0.0361 memory: 24011 grad_norm: 5.8311 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7131 loss: 0.7131 2022/08/05 01:27:24 - mmengine - INFO - Epoch(train) [46][60/940] lr: 1.0000e-03 eta: 9:07:15 time: 0.6609 data_time: 0.0425 memory: 24011 grad_norm: 4.7655 top1_acc: 0.5625 top5_acc: 0.9688 loss_cls: 0.7446 loss: 0.7446 2022/08/05 01:27:36 - mmengine - INFO - Epoch(train) [46][80/940] lr: 1.0000e-03 eta: 9:07:02 time: 0.5890 data_time: 0.0336 memory: 24011 grad_norm: 5.5402 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7942 loss: 0.7942 2022/08/05 01:27:49 - mmengine - INFO - Epoch(train) [46][100/940] lr: 1.0000e-03 eta: 9:06:50 time: 0.6717 data_time: 0.0589 memory: 24011 grad_norm: 4.5301 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6995 loss: 0.6995 2022/08/05 01:28:01 - mmengine - INFO - Epoch(train) [46][120/940] lr: 1.0000e-03 eta: 9:06:36 time: 0.5819 data_time: 0.0350 memory: 24011 grad_norm: 4.8255 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6418 loss: 0.6418 2022/08/05 01:28:14 - mmengine - INFO - Epoch(train) [46][140/940] lr: 1.0000e-03 eta: 9:06:24 time: 0.6618 data_time: 0.0355 memory: 24011 grad_norm: 4.7093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7371 loss: 0.7371 2022/08/05 01:28:26 - mmengine - INFO - Epoch(train) [46][160/940] lr: 1.0000e-03 eta: 9:06:10 time: 0.5896 data_time: 0.0358 memory: 24011 grad_norm: 4.5644 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7293 loss: 0.7293 2022/08/05 01:28:38 - mmengine - INFO - Epoch(train) [46][180/940] lr: 1.0000e-03 eta: 9:05:56 time: 0.6124 data_time: 0.0367 memory: 24011 grad_norm: 5.1572 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6916 loss: 0.6916 2022/08/05 01:28:50 - mmengine - INFO - Epoch(train) [46][200/940] lr: 1.0000e-03 eta: 9:05:43 time: 0.6080 data_time: 0.0419 memory: 24011 grad_norm: 5.3616 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7216 loss: 0.7216 2022/08/05 01:29:03 - mmengine - INFO - Epoch(train) [46][220/940] lr: 1.0000e-03 eta: 9:05:31 time: 0.6513 data_time: 0.0427 memory: 24011 grad_norm: 4.9191 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7680 loss: 0.7680 2022/08/05 01:29:16 - mmengine - INFO - Epoch(train) [46][240/940] lr: 1.0000e-03 eta: 9:05:17 time: 0.6079 data_time: 0.0420 memory: 24011 grad_norm: 6.0081 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6784 loss: 0.6784 2022/08/05 01:29:28 - mmengine - INFO - Epoch(train) [46][260/940] lr: 1.0000e-03 eta: 9:05:04 time: 0.6302 data_time: 0.0383 memory: 24011 grad_norm: 4.9093 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8033 loss: 0.8033 2022/08/05 01:29:41 - mmengine - INFO - Epoch(train) [46][280/940] lr: 1.0000e-03 eta: 9:04:52 time: 0.6251 data_time: 0.0400 memory: 24011 grad_norm: 4.7252 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8110 loss: 0.8110 2022/08/05 01:29:53 - mmengine - INFO - Epoch(train) [46][300/940] lr: 1.0000e-03 eta: 9:04:38 time: 0.6229 data_time: 0.0392 memory: 24011 grad_norm: 5.2184 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7184 loss: 0.7184 2022/08/05 01:30:05 - mmengine - INFO - Epoch(train) [46][320/940] lr: 1.0000e-03 eta: 9:04:25 time: 0.5887 data_time: 0.0354 memory: 24011 grad_norm: 4.6271 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8317 loss: 0.8317 2022/08/05 01:30:18 - mmengine - INFO - Epoch(train) [46][340/940] lr: 1.0000e-03 eta: 9:04:12 time: 0.6507 data_time: 0.0429 memory: 24011 grad_norm: 5.1155 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7456 loss: 0.7456 2022/08/05 01:30:30 - mmengine - INFO - Epoch(train) [46][360/940] lr: 1.0000e-03 eta: 9:03:59 time: 0.6116 data_time: 0.0458 memory: 24011 grad_norm: 4.9725 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7067 loss: 0.7067 2022/08/05 01:30:43 - mmengine - INFO - Epoch(train) [46][380/940] lr: 1.0000e-03 eta: 9:03:47 time: 0.6555 data_time: 0.0392 memory: 24011 grad_norm: 5.1680 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7680 loss: 0.7680 2022/08/05 01:30:55 - mmengine - INFO - Epoch(train) [46][400/940] lr: 1.0000e-03 eta: 9:03:33 time: 0.6043 data_time: 0.0374 memory: 24011 grad_norm: 4.8310 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7017 loss: 0.7017 2022/08/05 01:31:08 - mmengine - INFO - Epoch(train) [46][420/940] lr: 1.0000e-03 eta: 9:03:20 time: 0.6254 data_time: 0.0352 memory: 24011 grad_norm: 4.8364 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6414 loss: 0.6414 2022/08/05 01:31:20 - mmengine - INFO - Epoch(train) [46][440/940] lr: 1.0000e-03 eta: 9:03:07 time: 0.5915 data_time: 0.0365 memory: 24011 grad_norm: 5.1076 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7524 loss: 0.7524 2022/08/05 01:31:32 - mmengine - INFO - Epoch(train) [46][460/940] lr: 1.0000e-03 eta: 9:02:54 time: 0.6261 data_time: 0.0350 memory: 24011 grad_norm: 4.7631 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.6522 loss: 0.6522 2022/08/05 01:31:45 - mmengine - INFO - Epoch(train) [46][480/940] lr: 1.0000e-03 eta: 9:02:41 time: 0.6294 data_time: 0.0430 memory: 24011 grad_norm: 4.7655 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7315 loss: 0.7315 2022/08/05 01:31:59 - mmengine - INFO - Epoch(train) [46][500/940] lr: 1.0000e-03 eta: 9:02:29 time: 0.6867 data_time: 0.0391 memory: 24011 grad_norm: 4.7533 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6871 loss: 0.6871 2022/08/05 01:32:11 - mmengine - INFO - Epoch(train) [46][520/940] lr: 1.0000e-03 eta: 9:02:16 time: 0.5987 data_time: 0.0331 memory: 24011 grad_norm: 4.7116 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.8676 loss: 0.8676 2022/08/05 01:32:23 - mmengine - INFO - Epoch(train) [46][540/940] lr: 1.0000e-03 eta: 9:02:02 time: 0.6160 data_time: 0.0338 memory: 24011 grad_norm: 4.6847 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7122 loss: 0.7122 2022/08/05 01:32:35 - mmengine - INFO - Epoch(train) [46][560/940] lr: 1.0000e-03 eta: 9:01:49 time: 0.5951 data_time: 0.0506 memory: 24011 grad_norm: 4.6524 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7390 loss: 0.7390 2022/08/05 01:32:48 - mmengine - INFO - Epoch(train) [46][580/940] lr: 1.0000e-03 eta: 9:01:36 time: 0.6455 data_time: 0.0356 memory: 24011 grad_norm: 4.9342 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.8269 loss: 0.8269 2022/08/05 01:33:00 - mmengine - INFO - Epoch(train) [46][600/940] lr: 1.0000e-03 eta: 9:01:23 time: 0.5981 data_time: 0.0399 memory: 24011 grad_norm: 4.5219 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.7435 loss: 0.7435 2022/08/05 01:33:13 - mmengine - INFO - Epoch(train) [46][620/940] lr: 1.0000e-03 eta: 9:01:11 time: 0.6650 data_time: 0.0433 memory: 24011 grad_norm: 4.6074 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6414 loss: 0.6414 2022/08/05 01:33:26 - mmengine - INFO - Epoch(train) [46][640/940] lr: 1.0000e-03 eta: 9:00:58 time: 0.6266 data_time: 0.0360 memory: 24011 grad_norm: 5.3892 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7498 loss: 0.7498 2022/08/05 01:33:38 - mmengine - INFO - Epoch(train) [46][660/940] lr: 1.0000e-03 eta: 9:00:44 time: 0.6033 data_time: 0.0356 memory: 24011 grad_norm: 6.9695 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7500 loss: 0.7500 2022/08/05 01:33:49 - mmengine - INFO - Epoch(train) [46][680/940] lr: 1.0000e-03 eta: 9:00:30 time: 0.5914 data_time: 0.0337 memory: 24011 grad_norm: 4.7100 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6213 loss: 0.6213 2022/08/05 01:34:02 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:34:02 - mmengine - INFO - Epoch(train) [46][700/940] lr: 1.0000e-03 eta: 9:00:17 time: 0.6133 data_time: 0.0382 memory: 24011 grad_norm: 4.9254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8277 loss: 0.8277 2022/08/05 01:34:15 - mmengine - INFO - Epoch(train) [46][720/940] lr: 1.0000e-03 eta: 9:00:05 time: 0.6415 data_time: 0.0410 memory: 24011 grad_norm: 4.7321 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7561 loss: 0.7561 2022/08/05 01:34:27 - mmengine - INFO - Epoch(train) [46][740/940] lr: 1.0000e-03 eta: 8:59:52 time: 0.6446 data_time: 0.0392 memory: 24011 grad_norm: 5.7659 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6867 loss: 0.6867 2022/08/05 01:34:40 - mmengine - INFO - Epoch(train) [46][760/940] lr: 1.0000e-03 eta: 8:59:39 time: 0.6314 data_time: 0.0374 memory: 24011 grad_norm: 4.9005 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7338 loss: 0.7338 2022/08/05 01:34:53 - mmengine - INFO - Epoch(train) [46][780/940] lr: 1.0000e-03 eta: 8:59:27 time: 0.6335 data_time: 0.0341 memory: 24011 grad_norm: 5.1099 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6903 loss: 0.6903 2022/08/05 01:35:05 - mmengine - INFO - Epoch(train) [46][800/940] lr: 1.0000e-03 eta: 8:59:14 time: 0.6313 data_time: 0.0395 memory: 24011 grad_norm: 4.6755 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7138 loss: 0.7138 2022/08/05 01:35:18 - mmengine - INFO - Epoch(train) [46][820/940] lr: 1.0000e-03 eta: 8:59:01 time: 0.6174 data_time: 0.0352 memory: 24011 grad_norm: 4.7747 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7428 loss: 0.7428 2022/08/05 01:35:30 - mmengine - INFO - Epoch(train) [46][840/940] lr: 1.0000e-03 eta: 8:58:48 time: 0.6349 data_time: 0.0362 memory: 24011 grad_norm: 5.4221 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8036 loss: 0.8036 2022/08/05 01:35:42 - mmengine - INFO - Epoch(train) [46][860/940] lr: 1.0000e-03 eta: 8:58:34 time: 0.5891 data_time: 0.0369 memory: 24011 grad_norm: 4.5603 top1_acc: 0.6562 top5_acc: 0.9062 loss_cls: 0.7468 loss: 0.7468 2022/08/05 01:35:55 - mmengine - INFO - Epoch(train) [46][880/940] lr: 1.0000e-03 eta: 8:58:21 time: 0.6205 data_time: 0.0328 memory: 24011 grad_norm: 5.2021 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7686 loss: 0.7686 2022/08/05 01:36:07 - mmengine - INFO - Epoch(train) [46][900/940] lr: 1.0000e-03 eta: 8:58:08 time: 0.6375 data_time: 0.0320 memory: 24011 grad_norm: 4.6960 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6865 loss: 0.6865 2022/08/05 01:36:20 - mmengine - INFO - Epoch(train) [46][920/940] lr: 1.0000e-03 eta: 8:57:56 time: 0.6422 data_time: 0.0279 memory: 24011 grad_norm: 4.6257 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7473 loss: 0.7473 2022/08/05 01:36:31 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:36:31 - mmengine - INFO - Epoch(train) [46][940/940] lr: 1.0000e-03 eta: 8:57:41 time: 0.5455 data_time: 0.0241 memory: 24011 grad_norm: 5.1145 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7877 loss: 0.7877 2022/08/05 01:36:44 - mmengine - INFO - Epoch(val) [46][20/78] eta: 0:00:37 time: 0.6549 data_time: 0.4989 memory: 3625 2022/08/05 01:36:54 - mmengine - INFO - Epoch(val) [46][40/78] eta: 0:00:17 time: 0.4596 data_time: 0.3071 memory: 3625 2022/08/05 01:37:06 - mmengine - INFO - Epoch(val) [46][60/78] eta: 0:00:11 time: 0.6126 data_time: 0.4570 memory: 3625 2022/08/05 01:37:16 - mmengine - INFO - Epoch(val) [46][78/78] acc/top1: 0.7365 acc/top5: 0.9092 acc/mean1: 0.7363 2022/08/05 01:37:34 - mmengine - INFO - Epoch(train) [47][20/940] lr: 1.0000e-03 eta: 8:57:34 time: 0.8761 data_time: 0.2989 memory: 24011 grad_norm: 4.4634 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6103 loss: 0.6103 2022/08/05 01:37:46 - mmengine - INFO - Epoch(train) [47][40/940] lr: 1.0000e-03 eta: 8:57:21 time: 0.6245 data_time: 0.0755 memory: 24011 grad_norm: 4.8563 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8175 loss: 0.8175 2022/08/05 01:37:59 - mmengine - INFO - Epoch(train) [47][60/940] lr: 1.0000e-03 eta: 8:57:08 time: 0.6367 data_time: 0.0667 memory: 24011 grad_norm: 4.6034 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7206 loss: 0.7206 2022/08/05 01:38:11 - mmengine - INFO - Epoch(train) [47][80/940] lr: 1.0000e-03 eta: 8:56:55 time: 0.6132 data_time: 0.0488 memory: 24011 grad_norm: 4.7634 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7574 loss: 0.7574 2022/08/05 01:38:24 - mmengine - INFO - Epoch(train) [47][100/940] lr: 1.0000e-03 eta: 8:56:42 time: 0.6276 data_time: 0.0690 memory: 24011 grad_norm: 4.6760 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.6629 loss: 0.6629 2022/08/05 01:38:37 - mmengine - INFO - Epoch(train) [47][120/940] lr: 1.0000e-03 eta: 8:56:29 time: 0.6343 data_time: 0.0315 memory: 24011 grad_norm: 4.9448 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7512 loss: 0.7512 2022/08/05 01:38:49 - mmengine - INFO - Epoch(train) [47][140/940] lr: 1.0000e-03 eta: 8:56:16 time: 0.6211 data_time: 0.0324 memory: 24011 grad_norm: 6.3181 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7003 loss: 0.7003 2022/08/05 01:39:02 - mmengine - INFO - Epoch(train) [47][160/940] lr: 1.0000e-03 eta: 8:56:03 time: 0.6281 data_time: 0.0297 memory: 24011 grad_norm: 4.7567 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7731 loss: 0.7731 2022/08/05 01:39:14 - mmengine - INFO - Epoch(train) [47][180/940] lr: 1.0000e-03 eta: 8:55:50 time: 0.6144 data_time: 0.0349 memory: 24011 grad_norm: 4.6939 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5939 loss: 0.5939 2022/08/05 01:39:26 - mmengine - INFO - Epoch(train) [47][200/940] lr: 1.0000e-03 eta: 8:55:37 time: 0.6228 data_time: 0.0325 memory: 24011 grad_norm: 4.7646 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7213 loss: 0.7213 2022/08/05 01:39:39 - mmengine - INFO - Epoch(train) [47][220/940] lr: 1.0000e-03 eta: 8:55:25 time: 0.6531 data_time: 0.0313 memory: 24011 grad_norm: 5.8049 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6947 loss: 0.6947 2022/08/05 01:39:51 - mmengine - INFO - Epoch(train) [47][240/940] lr: 1.0000e-03 eta: 8:55:11 time: 0.5977 data_time: 0.0554 memory: 24011 grad_norm: 4.6294 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7619 loss: 0.7619 2022/08/05 01:40:04 - mmengine - INFO - Epoch(train) [47][260/940] lr: 1.0000e-03 eta: 8:54:59 time: 0.6353 data_time: 0.0355 memory: 24011 grad_norm: 5.2258 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7862 loss: 0.7862 2022/08/05 01:40:17 - mmengine - INFO - Epoch(train) [47][280/940] lr: 1.0000e-03 eta: 8:54:46 time: 0.6432 data_time: 0.0360 memory: 24011 grad_norm: 4.4684 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6857 loss: 0.6857 2022/08/05 01:40:30 - mmengine - INFO - Epoch(train) [47][300/940] lr: 1.0000e-03 eta: 8:54:33 time: 0.6219 data_time: 0.0290 memory: 24011 grad_norm: 4.8695 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7222 loss: 0.7222 2022/08/05 01:40:42 - mmengine - INFO - Epoch(train) [47][320/940] lr: 1.0000e-03 eta: 8:54:20 time: 0.6037 data_time: 0.0456 memory: 24011 grad_norm: 4.9064 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6803 loss: 0.6803 2022/08/05 01:40:55 - mmengine - INFO - Epoch(train) [47][340/940] lr: 1.0000e-03 eta: 8:54:07 time: 0.6532 data_time: 0.0386 memory: 24011 grad_norm: 5.0038 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7586 loss: 0.7586 2022/08/05 01:41:07 - mmengine - INFO - Epoch(train) [47][360/940] lr: 1.0000e-03 eta: 8:53:54 time: 0.6198 data_time: 0.0397 memory: 24011 grad_norm: 4.5725 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8124 loss: 0.8124 2022/08/05 01:41:20 - mmengine - INFO - Epoch(train) [47][380/940] lr: 1.0000e-03 eta: 8:53:42 time: 0.6505 data_time: 0.0335 memory: 24011 grad_norm: 4.8313 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7444 loss: 0.7444 2022/08/05 01:41:33 - mmengine - INFO - Epoch(train) [47][400/940] lr: 1.0000e-03 eta: 8:53:29 time: 0.6392 data_time: 0.0344 memory: 24011 grad_norm: 6.2054 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8625 loss: 0.8625 2022/08/05 01:41:45 - mmengine - INFO - Epoch(train) [47][420/940] lr: 1.0000e-03 eta: 8:53:16 time: 0.6006 data_time: 0.0396 memory: 24011 grad_norm: 4.7950 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6955 loss: 0.6955 2022/08/05 01:41:57 - mmengine - INFO - Epoch(train) [47][440/940] lr: 1.0000e-03 eta: 8:53:02 time: 0.6065 data_time: 0.0403 memory: 24011 grad_norm: 5.0229 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7007 loss: 0.7007 2022/08/05 01:42:10 - mmengine - INFO - Epoch(train) [47][460/940] lr: 1.0000e-03 eta: 8:52:49 time: 0.6312 data_time: 0.0364 memory: 24011 grad_norm: 5.2760 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7014 loss: 0.7014 2022/08/05 01:42:22 - mmengine - INFO - Epoch(train) [47][480/940] lr: 1.0000e-03 eta: 8:52:36 time: 0.6069 data_time: 0.0445 memory: 24011 grad_norm: 4.8380 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7433 loss: 0.7433 2022/08/05 01:42:34 - mmengine - INFO - Epoch(train) [47][500/940] lr: 1.0000e-03 eta: 8:52:23 time: 0.6283 data_time: 0.0363 memory: 24011 grad_norm: 4.6805 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6384 loss: 0.6384 2022/08/05 01:42:46 - mmengine - INFO - Epoch(train) [47][520/940] lr: 1.0000e-03 eta: 8:52:10 time: 0.6095 data_time: 0.0380 memory: 24011 grad_norm: 5.0325 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7587 loss: 0.7587 2022/08/05 01:42:59 - mmengine - INFO - Epoch(train) [47][540/940] lr: 1.0000e-03 eta: 8:51:57 time: 0.6121 data_time: 0.0383 memory: 24011 grad_norm: 5.1325 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6745 loss: 0.6745 2022/08/05 01:43:11 - mmengine - INFO - Epoch(train) [47][560/940] lr: 1.0000e-03 eta: 8:51:43 time: 0.5909 data_time: 0.0381 memory: 24011 grad_norm: 4.7867 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7493 loss: 0.7493 2022/08/05 01:43:23 - mmengine - INFO - Epoch(train) [47][580/940] lr: 1.0000e-03 eta: 8:51:30 time: 0.6180 data_time: 0.0327 memory: 24011 grad_norm: 4.6667 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7400 loss: 0.7400 2022/08/05 01:43:36 - mmengine - INFO - Epoch(train) [47][600/940] lr: 1.0000e-03 eta: 8:51:17 time: 0.6429 data_time: 0.0343 memory: 24011 grad_norm: 5.2045 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7475 loss: 0.7475 2022/08/05 01:43:49 - mmengine - INFO - Epoch(train) [47][620/940] lr: 1.0000e-03 eta: 8:51:05 time: 0.6513 data_time: 0.0354 memory: 24011 grad_norm: 5.4430 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7699 loss: 0.7699 2022/08/05 01:44:01 - mmengine - INFO - Epoch(train) [47][640/940] lr: 1.0000e-03 eta: 8:50:52 time: 0.6218 data_time: 0.0383 memory: 24011 grad_norm: 4.6760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7162 loss: 0.7162 2022/08/05 01:44:14 - mmengine - INFO - Epoch(train) [47][660/940] lr: 1.0000e-03 eta: 8:50:39 time: 0.6353 data_time: 0.0370 memory: 24011 grad_norm: 5.6883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6605 loss: 0.6605 2022/08/05 01:44:26 - mmengine - INFO - Epoch(train) [47][680/940] lr: 1.0000e-03 eta: 8:50:25 time: 0.5864 data_time: 0.0382 memory: 24011 grad_norm: 4.7252 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7290 loss: 0.7290 2022/08/05 01:44:38 - mmengine - INFO - Epoch(train) [47][700/940] lr: 1.0000e-03 eta: 8:50:12 time: 0.5956 data_time: 0.0407 memory: 24011 grad_norm: 4.7854 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6532 loss: 0.6532 2022/08/05 01:44:50 - mmengine - INFO - Epoch(train) [47][720/940] lr: 1.0000e-03 eta: 8:49:59 time: 0.6279 data_time: 0.0329 memory: 24011 grad_norm: 4.9573 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7465 loss: 0.7465 2022/08/05 01:45:04 - mmengine - INFO - Epoch(train) [47][740/940] lr: 1.0000e-03 eta: 8:49:47 time: 0.6687 data_time: 0.0342 memory: 24011 grad_norm: 4.9145 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6827 loss: 0.6827 2022/08/05 01:45:16 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:45:16 - mmengine - INFO - Epoch(train) [47][760/940] lr: 1.0000e-03 eta: 8:49:34 time: 0.6081 data_time: 0.0380 memory: 24011 grad_norm: 4.7819 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7762 loss: 0.7762 2022/08/05 01:45:28 - mmengine - INFO - Epoch(train) [47][780/940] lr: 1.0000e-03 eta: 8:49:20 time: 0.5950 data_time: 0.0369 memory: 24011 grad_norm: 5.1572 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6868 loss: 0.6868 2022/08/05 01:45:40 - mmengine - INFO - Epoch(train) [47][800/940] lr: 1.0000e-03 eta: 8:49:07 time: 0.6364 data_time: 0.0316 memory: 24011 grad_norm: 4.6516 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7379 loss: 0.7379 2022/08/05 01:45:53 - mmengine - INFO - Epoch(train) [47][820/940] lr: 1.0000e-03 eta: 8:48:54 time: 0.6314 data_time: 0.0495 memory: 24011 grad_norm: 4.8819 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7145 loss: 0.7145 2022/08/05 01:46:06 - mmengine - INFO - Epoch(train) [47][840/940] lr: 1.0000e-03 eta: 8:48:42 time: 0.6448 data_time: 0.0281 memory: 24011 grad_norm: 5.0693 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7056 loss: 0.7056 2022/08/05 01:46:18 - mmengine - INFO - Epoch(train) [47][860/940] lr: 1.0000e-03 eta: 8:48:29 time: 0.6037 data_time: 0.0347 memory: 24011 grad_norm: 5.1097 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6650 loss: 0.6650 2022/08/05 01:46:30 - mmengine - INFO - Epoch(train) [47][880/940] lr: 1.0000e-03 eta: 8:48:16 time: 0.6238 data_time: 0.0270 memory: 24011 grad_norm: 4.8148 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.8452 loss: 0.8452 2022/08/05 01:46:43 - mmengine - INFO - Epoch(train) [47][900/940] lr: 1.0000e-03 eta: 8:48:02 time: 0.6113 data_time: 0.0348 memory: 24011 grad_norm: 5.1326 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7578 loss: 0.7578 2022/08/05 01:46:56 - mmengine - INFO - Epoch(train) [47][920/940] lr: 1.0000e-03 eta: 8:47:50 time: 0.6484 data_time: 0.0345 memory: 24011 grad_norm: 4.8167 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6625 loss: 0.6625 2022/08/05 01:47:06 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:47:06 - mmengine - INFO - Epoch(train) [47][940/940] lr: 1.0000e-03 eta: 8:47:35 time: 0.5412 data_time: 0.0245 memory: 24011 grad_norm: 4.7940 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.5779 loss: 0.5779 2022/08/05 01:47:20 - mmengine - INFO - Epoch(val) [47][20/78] eta: 0:00:38 time: 0.6716 data_time: 0.5167 memory: 3625 2022/08/05 01:47:29 - mmengine - INFO - Epoch(val) [47][40/78] eta: 0:00:17 time: 0.4522 data_time: 0.2972 memory: 3625 2022/08/05 01:47:42 - mmengine - INFO - Epoch(val) [47][60/78] eta: 0:00:11 time: 0.6288 data_time: 0.4755 memory: 3625 2022/08/05 01:47:52 - mmengine - INFO - Epoch(val) [47][78/78] acc/top1: 0.7401 acc/top5: 0.9100 acc/mean1: 0.7400 2022/08/05 01:47:52 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_45.pth is removed 2022/08/05 01:47:55 - mmengine - INFO - The best checkpoint with 0.7401 acc/top1 at 48 epoch is saved to best_acc/top1_epoch_48.pth. 2022/08/05 01:48:11 - mmengine - INFO - Epoch(train) [48][20/940] lr: 1.0000e-03 eta: 8:47:26 time: 0.7891 data_time: 0.2441 memory: 24011 grad_norm: 4.8908 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7704 loss: 0.7704 2022/08/05 01:48:22 - mmengine - INFO - Epoch(train) [48][40/940] lr: 1.0000e-03 eta: 8:47:12 time: 0.5991 data_time: 0.0647 memory: 24011 grad_norm: 5.4640 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.6952 loss: 0.6952 2022/08/05 01:48:35 - mmengine - INFO - Epoch(train) [48][60/940] lr: 1.0000e-03 eta: 8:47:00 time: 0.6347 data_time: 0.0982 memory: 24011 grad_norm: 4.9216 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7128 loss: 0.7128 2022/08/05 01:48:52 - mmengine - INFO - Epoch(train) [48][80/940] lr: 1.0000e-03 eta: 8:46:52 time: 0.8441 data_time: 0.2880 memory: 24011 grad_norm: 5.0536 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6993 loss: 0.6993 2022/08/05 01:49:05 - mmengine - INFO - Epoch(train) [48][100/940] lr: 1.0000e-03 eta: 8:46:39 time: 0.6388 data_time: 0.0862 memory: 24011 grad_norm: 4.8951 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7219 loss: 0.7219 2022/08/05 01:49:17 - mmengine - INFO - Epoch(train) [48][120/940] lr: 1.0000e-03 eta: 8:46:26 time: 0.6074 data_time: 0.0616 memory: 24011 grad_norm: 5.1008 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7206 loss: 0.7206 2022/08/05 01:49:29 - mmengine - INFO - Epoch(train) [48][140/940] lr: 1.0000e-03 eta: 8:46:12 time: 0.6187 data_time: 0.0435 memory: 24011 grad_norm: 4.7310 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6473 loss: 0.6473 2022/08/05 01:49:42 - mmengine - INFO - Epoch(train) [48][160/940] lr: 1.0000e-03 eta: 8:45:59 time: 0.6153 data_time: 0.0588 memory: 24011 grad_norm: 4.7428 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.6930 loss: 0.6930 2022/08/05 01:49:55 - mmengine - INFO - Epoch(train) [48][180/940] lr: 1.0000e-03 eta: 8:45:47 time: 0.6530 data_time: 0.1103 memory: 24011 grad_norm: 4.9000 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.8378 loss: 0.8378 2022/08/05 01:50:07 - mmengine - INFO - Epoch(train) [48][200/940] lr: 1.0000e-03 eta: 8:45:34 time: 0.6278 data_time: 0.0653 memory: 24011 grad_norm: 4.7557 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7279 loss: 0.7279 2022/08/05 01:50:20 - mmengine - INFO - Epoch(train) [48][220/940] lr: 1.0000e-03 eta: 8:45:21 time: 0.6404 data_time: 0.0944 memory: 24011 grad_norm: 4.7559 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7029 loss: 0.7029 2022/08/05 01:50:32 - mmengine - INFO - Epoch(train) [48][240/940] lr: 1.0000e-03 eta: 8:45:08 time: 0.5811 data_time: 0.0263 memory: 24011 grad_norm: 4.8956 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6980 loss: 0.6980 2022/08/05 01:50:44 - mmengine - INFO - Epoch(train) [48][260/940] lr: 1.0000e-03 eta: 8:44:54 time: 0.6014 data_time: 0.0376 memory: 24011 grad_norm: 4.4332 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6388 loss: 0.6388 2022/08/05 01:50:56 - mmengine - INFO - Epoch(train) [48][280/940] lr: 1.0000e-03 eta: 8:44:41 time: 0.5980 data_time: 0.0436 memory: 24011 grad_norm: 4.9422 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6732 loss: 0.6732 2022/08/05 01:51:08 - mmengine - INFO - Epoch(train) [48][300/940] lr: 1.0000e-03 eta: 8:44:28 time: 0.6239 data_time: 0.0706 memory: 24011 grad_norm: 5.1620 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6997 loss: 0.6997 2022/08/05 01:51:21 - mmengine - INFO - Epoch(train) [48][320/940] lr: 1.0000e-03 eta: 8:44:14 time: 0.6183 data_time: 0.0411 memory: 24011 grad_norm: 4.9254 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7250 loss: 0.7250 2022/08/05 01:51:33 - mmengine - INFO - Epoch(train) [48][340/940] lr: 1.0000e-03 eta: 8:44:02 time: 0.6385 data_time: 0.0801 memory: 24011 grad_norm: 4.7867 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7291 loss: 0.7291 2022/08/05 01:51:46 - mmengine - INFO - Epoch(train) [48][360/940] lr: 1.0000e-03 eta: 8:43:49 time: 0.6443 data_time: 0.0600 memory: 24011 grad_norm: 4.7714 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6675 loss: 0.6675 2022/08/05 01:51:59 - mmengine - INFO - Epoch(train) [48][380/940] lr: 1.0000e-03 eta: 8:43:36 time: 0.6210 data_time: 0.0412 memory: 24011 grad_norm: 4.6844 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5621 loss: 0.5621 2022/08/05 01:52:11 - mmengine - INFO - Epoch(train) [48][400/940] lr: 1.0000e-03 eta: 8:43:24 time: 0.6348 data_time: 0.0325 memory: 24011 grad_norm: 4.8016 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.7408 loss: 0.7408 2022/08/05 01:52:24 - mmengine - INFO - Epoch(train) [48][420/940] lr: 1.0000e-03 eta: 8:43:11 time: 0.6210 data_time: 0.0381 memory: 24011 grad_norm: 5.2647 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.7263 loss: 0.7263 2022/08/05 01:52:37 - mmengine - INFO - Epoch(train) [48][440/940] lr: 1.0000e-03 eta: 8:42:58 time: 0.6544 data_time: 0.0306 memory: 24011 grad_norm: 4.8483 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7811 loss: 0.7811 2022/08/05 01:52:49 - mmengine - INFO - Epoch(train) [48][460/940] lr: 1.0000e-03 eta: 8:42:45 time: 0.6185 data_time: 0.0370 memory: 24011 grad_norm: 4.9489 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7211 loss: 0.7211 2022/08/05 01:53:02 - mmengine - INFO - Epoch(train) [48][480/940] lr: 1.0000e-03 eta: 8:42:33 time: 0.6385 data_time: 0.0430 memory: 24011 grad_norm: 4.6020 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7129 loss: 0.7129 2022/08/05 01:53:14 - mmengine - INFO - Epoch(train) [48][500/940] lr: 1.0000e-03 eta: 8:42:19 time: 0.6140 data_time: 0.0371 memory: 24011 grad_norm: 5.5160 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5921 loss: 0.5921 2022/08/05 01:53:27 - mmengine - INFO - Epoch(train) [48][520/940] lr: 1.0000e-03 eta: 8:42:06 time: 0.6105 data_time: 0.0355 memory: 24011 grad_norm: 4.6700 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7317 loss: 0.7317 2022/08/05 01:53:39 - mmengine - INFO - Epoch(train) [48][540/940] lr: 1.0000e-03 eta: 8:41:53 time: 0.6256 data_time: 0.0368 memory: 24011 grad_norm: 4.9370 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6762 loss: 0.6762 2022/08/05 01:53:51 - mmengine - INFO - Epoch(train) [48][560/940] lr: 1.0000e-03 eta: 8:41:40 time: 0.5960 data_time: 0.0383 memory: 24011 grad_norm: 5.3177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6691 loss: 0.6691 2022/08/05 01:54:03 - mmengine - INFO - Epoch(train) [48][580/940] lr: 1.0000e-03 eta: 8:41:26 time: 0.6097 data_time: 0.0314 memory: 24011 grad_norm: 4.9860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7836 loss: 0.7836 2022/08/05 01:54:16 - mmengine - INFO - Epoch(train) [48][600/940] lr: 1.0000e-03 eta: 8:41:13 time: 0.6281 data_time: 0.0447 memory: 24011 grad_norm: 4.8629 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6633 loss: 0.6633 2022/08/05 01:54:29 - mmengine - INFO - Epoch(train) [48][620/940] lr: 1.0000e-03 eta: 8:41:01 time: 0.6419 data_time: 0.0364 memory: 24011 grad_norm: 4.8856 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6216 loss: 0.6216 2022/08/05 01:54:42 - mmengine - INFO - Epoch(train) [48][640/940] lr: 1.0000e-03 eta: 8:40:49 time: 0.6786 data_time: 0.0392 memory: 24011 grad_norm: 4.7342 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6982 loss: 0.6982 2022/08/05 01:54:54 - mmengine - INFO - Epoch(train) [48][660/940] lr: 1.0000e-03 eta: 8:40:36 time: 0.5981 data_time: 0.0343 memory: 24011 grad_norm: 4.8870 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6406 loss: 0.6406 2022/08/05 01:55:06 - mmengine - INFO - Epoch(train) [48][680/940] lr: 1.0000e-03 eta: 8:40:22 time: 0.5945 data_time: 0.0352 memory: 24011 grad_norm: 5.0600 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6390 loss: 0.6390 2022/08/05 01:55:19 - mmengine - INFO - Epoch(train) [48][700/940] lr: 1.0000e-03 eta: 8:40:09 time: 0.6371 data_time: 0.0368 memory: 24011 grad_norm: 5.8013 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6320 loss: 0.6320 2022/08/05 01:55:31 - mmengine - INFO - Epoch(train) [48][720/940] lr: 1.0000e-03 eta: 8:39:56 time: 0.6107 data_time: 0.0327 memory: 24011 grad_norm: 4.9946 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6207 loss: 0.6207 2022/08/05 01:55:43 - mmengine - INFO - Epoch(train) [48][740/940] lr: 1.0000e-03 eta: 8:39:43 time: 0.6182 data_time: 0.0364 memory: 24011 grad_norm: 4.7320 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6520 loss: 0.6520 2022/08/05 01:55:56 - mmengine - INFO - Epoch(train) [48][760/940] lr: 1.0000e-03 eta: 8:39:30 time: 0.6402 data_time: 0.0394 memory: 24011 grad_norm: 4.7089 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7279 loss: 0.7279 2022/08/05 01:56:09 - mmengine - INFO - Epoch(train) [48][780/940] lr: 1.0000e-03 eta: 8:39:17 time: 0.6152 data_time: 0.0392 memory: 24011 grad_norm: 5.4618 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6500 loss: 0.6500 2022/08/05 01:56:20 - mmengine - INFO - Epoch(train) [48][800/940] lr: 1.0000e-03 eta: 8:39:03 time: 0.5848 data_time: 0.0353 memory: 24011 grad_norm: 5.1091 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7193 loss: 0.7193 2022/08/05 01:56:32 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:56:32 - mmengine - INFO - Epoch(train) [48][820/940] lr: 1.0000e-03 eta: 8:38:50 time: 0.5972 data_time: 0.0385 memory: 24011 grad_norm: 4.8606 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7330 loss: 0.7330 2022/08/05 01:56:45 - mmengine - INFO - Epoch(train) [48][840/940] lr: 1.0000e-03 eta: 8:38:37 time: 0.6382 data_time: 0.0441 memory: 24011 grad_norm: 4.9413 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.8289 loss: 0.8289 2022/08/05 01:56:57 - mmengine - INFO - Epoch(train) [48][860/940] lr: 1.0000e-03 eta: 8:38:24 time: 0.5979 data_time: 0.0354 memory: 24011 grad_norm: 4.9484 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.8152 loss: 0.8152 2022/08/05 01:57:10 - mmengine - INFO - Epoch(train) [48][880/940] lr: 1.0000e-03 eta: 8:38:12 time: 0.6748 data_time: 0.0356 memory: 24011 grad_norm: 5.0466 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7293 loss: 0.7293 2022/08/05 01:57:23 - mmengine - INFO - Epoch(train) [48][900/940] lr: 1.0000e-03 eta: 8:37:59 time: 0.6200 data_time: 0.0447 memory: 24011 grad_norm: 4.5152 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7223 loss: 0.7223 2022/08/05 01:57:35 - mmengine - INFO - Epoch(train) [48][920/940] lr: 1.0000e-03 eta: 8:37:46 time: 0.6343 data_time: 0.0341 memory: 24011 grad_norm: 4.9384 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7170 loss: 0.7170 2022/08/05 01:57:46 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 01:57:46 - mmengine - INFO - Epoch(train) [48][940/940] lr: 1.0000e-03 eta: 8:37:31 time: 0.5431 data_time: 0.0289 memory: 24011 grad_norm: 5.1874 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7511 loss: 0.7511 2022/08/05 01:57:46 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/05 01:58:05 - mmengine - INFO - Epoch(val) [48][20/78] eta: 0:00:40 time: 0.6924 data_time: 0.5376 memory: 3625 2022/08/05 01:58:14 - mmengine - INFO - Epoch(val) [48][40/78] eta: 0:00:16 time: 0.4240 data_time: 0.2719 memory: 3625 2022/08/05 01:58:26 - mmengine - INFO - Epoch(val) [48][60/78] eta: 0:00:11 time: 0.6152 data_time: 0.4638 memory: 3625 2022/08/05 01:58:35 - mmengine - INFO - Epoch(val) [48][78/78] acc/top1: 0.7374 acc/top5: 0.9088 acc/mean1: 0.7372 2022/08/05 01:58:53 - mmengine - INFO - Epoch(train) [49][20/940] lr: 1.0000e-03 eta: 8:37:24 time: 0.8651 data_time: 0.2459 memory: 24011 grad_norm: 4.5940 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5846 loss: 0.5846 2022/08/05 01:59:05 - mmengine - INFO - Epoch(train) [49][40/940] lr: 1.0000e-03 eta: 8:37:11 time: 0.6219 data_time: 0.0387 memory: 24011 grad_norm: 4.8261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6575 loss: 0.6575 2022/08/05 01:59:18 - mmengine - INFO - Epoch(train) [49][60/940] lr: 1.0000e-03 eta: 8:36:58 time: 0.6584 data_time: 0.0356 memory: 24011 grad_norm: 4.6644 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.8052 loss: 0.8052 2022/08/05 01:59:30 - mmengine - INFO - Epoch(train) [49][80/940] lr: 1.0000e-03 eta: 8:36:45 time: 0.5938 data_time: 0.0314 memory: 24011 grad_norm: 4.6408 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6870 loss: 0.6870 2022/08/05 01:59:42 - mmengine - INFO - Epoch(train) [49][100/940] lr: 1.0000e-03 eta: 8:36:32 time: 0.6118 data_time: 0.0348 memory: 24011 grad_norm: 4.8006 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7105 loss: 0.7105 2022/08/05 01:59:55 - mmengine - INFO - Epoch(train) [49][120/940] lr: 1.0000e-03 eta: 8:36:19 time: 0.6355 data_time: 0.0362 memory: 24011 grad_norm: 4.9742 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7942 loss: 0.7942 2022/08/05 02:00:08 - mmengine - INFO - Epoch(train) [49][140/940] lr: 1.0000e-03 eta: 8:36:06 time: 0.6158 data_time: 0.0316 memory: 24011 grad_norm: 4.6111 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7742 loss: 0.7742 2022/08/05 02:00:21 - mmengine - INFO - Epoch(train) [49][160/940] lr: 1.0000e-03 eta: 8:35:54 time: 0.6852 data_time: 0.0359 memory: 24011 grad_norm: 4.6738 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5877 loss: 0.5877 2022/08/05 02:00:34 - mmengine - INFO - Epoch(train) [49][180/940] lr: 1.0000e-03 eta: 8:35:41 time: 0.6100 data_time: 0.0290 memory: 24011 grad_norm: 4.8359 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7288 loss: 0.7288 2022/08/05 02:00:47 - mmengine - INFO - Epoch(train) [49][200/940] lr: 1.0000e-03 eta: 8:35:29 time: 0.6611 data_time: 0.0619 memory: 24011 grad_norm: 4.9726 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6390 loss: 0.6390 2022/08/05 02:00:59 - mmengine - INFO - Epoch(train) [49][220/940] lr: 1.0000e-03 eta: 8:35:16 time: 0.6263 data_time: 0.0366 memory: 24011 grad_norm: 4.7281 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.8327 loss: 0.8327 2022/08/05 02:01:12 - mmengine - INFO - Epoch(train) [49][240/940] lr: 1.0000e-03 eta: 8:35:03 time: 0.6371 data_time: 0.0695 memory: 24011 grad_norm: 4.6935 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6162 loss: 0.6162 2022/08/05 02:01:24 - mmengine - INFO - Epoch(train) [49][260/940] lr: 1.0000e-03 eta: 8:34:50 time: 0.5958 data_time: 0.0242 memory: 24011 grad_norm: 4.7172 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7273 loss: 0.7273 2022/08/05 02:01:36 - mmengine - INFO - Epoch(train) [49][280/940] lr: 1.0000e-03 eta: 8:34:37 time: 0.6248 data_time: 0.0666 memory: 24011 grad_norm: 4.7997 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6521 loss: 0.6521 2022/08/05 02:01:49 - mmengine - INFO - Epoch(train) [49][300/940] lr: 1.0000e-03 eta: 8:34:24 time: 0.6158 data_time: 0.0411 memory: 24011 grad_norm: 4.8533 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.6694 loss: 0.6694 2022/08/05 02:02:02 - mmengine - INFO - Epoch(train) [49][320/940] lr: 1.0000e-03 eta: 8:34:11 time: 0.6548 data_time: 0.0675 memory: 24011 grad_norm: 5.0088 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7760 loss: 0.7760 2022/08/05 02:02:15 - mmengine - INFO - Epoch(train) [49][340/940] lr: 1.0000e-03 eta: 8:33:59 time: 0.6374 data_time: 0.0283 memory: 24011 grad_norm: 4.8790 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7477 loss: 0.7477 2022/08/05 02:02:27 - mmengine - INFO - Epoch(train) [49][360/940] lr: 1.0000e-03 eta: 8:33:46 time: 0.6265 data_time: 0.0351 memory: 24011 grad_norm: 5.1764 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.7772 loss: 0.7772 2022/08/05 02:02:39 - mmengine - INFO - Epoch(train) [49][380/940] lr: 1.0000e-03 eta: 8:33:33 time: 0.6132 data_time: 0.0343 memory: 24011 grad_norm: 4.8710 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6753 loss: 0.6753 2022/08/05 02:02:53 - mmengine - INFO - Epoch(train) [49][400/940] lr: 1.0000e-03 eta: 8:33:20 time: 0.6603 data_time: 0.0338 memory: 24011 grad_norm: 4.6899 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7849 loss: 0.7849 2022/08/05 02:03:05 - mmengine - INFO - Epoch(train) [49][420/940] lr: 1.0000e-03 eta: 8:33:07 time: 0.6111 data_time: 0.0487 memory: 24011 grad_norm: 4.9263 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.6702 loss: 0.6702 2022/08/05 02:03:17 - mmengine - INFO - Epoch(train) [49][440/940] lr: 1.0000e-03 eta: 8:32:54 time: 0.6214 data_time: 0.0379 memory: 24011 grad_norm: 4.9052 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7549 loss: 0.7549 2022/08/05 02:03:30 - mmengine - INFO - Epoch(train) [49][460/940] lr: 1.0000e-03 eta: 8:32:41 time: 0.6308 data_time: 0.0361 memory: 24011 grad_norm: 4.9755 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6501 loss: 0.6501 2022/08/05 02:03:43 - mmengine - INFO - Epoch(train) [49][480/940] lr: 1.0000e-03 eta: 8:32:29 time: 0.6375 data_time: 0.0345 memory: 24011 grad_norm: 4.8433 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7981 loss: 0.7981 2022/08/05 02:03:55 - mmengine - INFO - Epoch(train) [49][500/940] lr: 1.0000e-03 eta: 8:32:16 time: 0.6125 data_time: 0.0331 memory: 24011 grad_norm: 5.0774 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7365 loss: 0.7365 2022/08/05 02:04:07 - mmengine - INFO - Epoch(train) [49][520/940] lr: 1.0000e-03 eta: 8:32:03 time: 0.6220 data_time: 0.0458 memory: 24011 grad_norm: 5.0940 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6776 loss: 0.6776 2022/08/05 02:04:19 - mmengine - INFO - Epoch(train) [49][540/940] lr: 1.0000e-03 eta: 8:31:49 time: 0.5919 data_time: 0.0414 memory: 24011 grad_norm: 5.0092 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7598 loss: 0.7598 2022/08/05 02:04:31 - mmengine - INFO - Epoch(train) [49][560/940] lr: 1.0000e-03 eta: 8:31:35 time: 0.5992 data_time: 0.0365 memory: 24011 grad_norm: 5.4111 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.8021 loss: 0.8021 2022/08/05 02:04:43 - mmengine - INFO - Epoch(train) [49][580/940] lr: 1.0000e-03 eta: 8:31:22 time: 0.6174 data_time: 0.0453 memory: 24011 grad_norm: 4.7494 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7769 loss: 0.7769 2022/08/05 02:04:55 - mmengine - INFO - Epoch(train) [49][600/940] lr: 1.0000e-03 eta: 8:31:09 time: 0.5936 data_time: 0.0307 memory: 24011 grad_norm: 4.9395 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7014 loss: 0.7014 2022/08/05 02:05:08 - mmengine - INFO - Epoch(train) [49][620/940] lr: 1.0000e-03 eta: 8:30:56 time: 0.6447 data_time: 0.0707 memory: 24011 grad_norm: 4.8522 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6390 loss: 0.6390 2022/08/05 02:05:21 - mmengine - INFO - Epoch(train) [49][640/940] lr: 1.0000e-03 eta: 8:30:43 time: 0.6284 data_time: 0.0432 memory: 24011 grad_norm: 4.9427 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6647 loss: 0.6647 2022/08/05 02:05:34 - mmengine - INFO - Epoch(train) [49][660/940] lr: 1.0000e-03 eta: 8:30:31 time: 0.6463 data_time: 0.0968 memory: 24011 grad_norm: 5.3625 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6687 loss: 0.6687 2022/08/05 02:05:46 - mmengine - INFO - Epoch(train) [49][680/940] lr: 1.0000e-03 eta: 8:30:18 time: 0.6062 data_time: 0.0348 memory: 24011 grad_norm: 5.0372 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.6794 loss: 0.6794 2022/08/05 02:05:59 - mmengine - INFO - Epoch(train) [49][700/940] lr: 1.0000e-03 eta: 8:30:05 time: 0.6540 data_time: 0.0342 memory: 24011 grad_norm: 4.8398 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7485 loss: 0.7485 2022/08/05 02:06:11 - mmengine - INFO - Epoch(train) [49][720/940] lr: 1.0000e-03 eta: 8:29:52 time: 0.5964 data_time: 0.0342 memory: 24011 grad_norm: 4.9788 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6145 loss: 0.6145 2022/08/05 02:06:23 - mmengine - INFO - Epoch(train) [49][740/940] lr: 1.0000e-03 eta: 8:29:39 time: 0.6299 data_time: 0.0656 memory: 24011 grad_norm: 4.9780 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6928 loss: 0.6928 2022/08/05 02:06:36 - mmengine - INFO - Epoch(train) [49][760/940] lr: 1.0000e-03 eta: 8:29:26 time: 0.6067 data_time: 0.0328 memory: 24011 grad_norm: 4.7739 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6886 loss: 0.6886 2022/08/05 02:06:48 - mmengine - INFO - Epoch(train) [49][780/940] lr: 1.0000e-03 eta: 8:29:12 time: 0.6092 data_time: 0.0447 memory: 24011 grad_norm: 5.0827 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7433 loss: 0.7433 2022/08/05 02:07:01 - mmengine - INFO - Epoch(train) [49][800/940] lr: 1.0000e-03 eta: 8:29:00 time: 0.6440 data_time: 0.0334 memory: 24011 grad_norm: 4.9033 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6092 loss: 0.6092 2022/08/05 02:07:13 - mmengine - INFO - Epoch(train) [49][820/940] lr: 1.0000e-03 eta: 8:28:47 time: 0.6284 data_time: 0.0332 memory: 24011 grad_norm: 4.9006 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7052 loss: 0.7052 2022/08/05 02:07:26 - mmengine - INFO - Epoch(train) [49][840/940] lr: 1.0000e-03 eta: 8:28:34 time: 0.6168 data_time: 0.0351 memory: 24011 grad_norm: 5.0573 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.6576 loss: 0.6576 2022/08/05 02:07:38 - mmengine - INFO - Epoch(train) [49][860/940] lr: 1.0000e-03 eta: 8:28:21 time: 0.6037 data_time: 0.0361 memory: 24011 grad_norm: 4.6966 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6309 loss: 0.6309 2022/08/05 02:07:50 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 02:07:50 - mmengine - INFO - Epoch(train) [49][880/940] lr: 1.0000e-03 eta: 8:28:07 time: 0.6031 data_time: 0.0406 memory: 24011 grad_norm: 5.1392 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6985 loss: 0.6985 2022/08/05 02:08:02 - mmengine - INFO - Epoch(train) [49][900/940] lr: 1.0000e-03 eta: 8:27:54 time: 0.5995 data_time: 0.0436 memory: 24011 grad_norm: 5.4436 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7540 loss: 0.7540 2022/08/05 02:08:15 - mmengine - INFO - Epoch(train) [49][920/940] lr: 1.0000e-03 eta: 8:27:41 time: 0.6457 data_time: 0.0533 memory: 24011 grad_norm: 4.9983 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7388 loss: 0.7388 2022/08/05 02:08:26 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 02:08:26 - mmengine - INFO - Epoch(train) [49][940/940] lr: 1.0000e-03 eta: 8:27:27 time: 0.5798 data_time: 0.0374 memory: 24011 grad_norm: 6.0862 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7563 loss: 0.7563 2022/08/05 02:08:40 - mmengine - INFO - Epoch(val) [49][20/78] eta: 0:00:38 time: 0.6597 data_time: 0.5052 memory: 3625 2022/08/05 02:08:49 - mmengine - INFO - Epoch(val) [49][40/78] eta: 0:00:17 time: 0.4518 data_time: 0.2988 memory: 3625 2022/08/05 02:09:01 - mmengine - INFO - Epoch(val) [49][60/78] eta: 0:00:11 time: 0.6252 data_time: 0.4685 memory: 3625 2022/08/05 02:09:11 - mmengine - INFO - Epoch(val) [49][78/78] acc/top1: 0.7365 acc/top5: 0.9095 acc/mean1: 0.7364 2022/08/05 02:09:29 - mmengine - INFO - Epoch(train) [50][20/940] lr: 1.0000e-03 eta: 8:27:20 time: 0.8782 data_time: 0.2415 memory: 24011 grad_norm: 5.0816 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7709 loss: 0.7709 2022/08/05 02:09:42 - mmengine - INFO - Epoch(train) [50][40/940] lr: 1.0000e-03 eta: 8:27:08 time: 0.6599 data_time: 0.0307 memory: 24011 grad_norm: 4.7602 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7543 loss: 0.7543 2022/08/05 02:09:54 - mmengine - INFO - Epoch(train) [50][60/940] lr: 1.0000e-03 eta: 8:26:54 time: 0.6130 data_time: 0.0382 memory: 24011 grad_norm: 5.0398 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6661 loss: 0.6661 2022/08/05 02:10:08 - mmengine - INFO - Epoch(train) [50][80/940] lr: 1.0000e-03 eta: 8:26:42 time: 0.6600 data_time: 0.0323 memory: 24011 grad_norm: 5.1653 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7105 loss: 0.7105 2022/08/05 02:10:20 - mmengine - INFO - Epoch(train) [50][100/940] lr: 1.0000e-03 eta: 8:26:30 time: 0.6399 data_time: 0.0374 memory: 24011 grad_norm: 4.9139 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6470 loss: 0.6470 2022/08/05 02:10:33 - mmengine - INFO - Epoch(train) [50][120/940] lr: 1.0000e-03 eta: 8:26:17 time: 0.6156 data_time: 0.0404 memory: 24011 grad_norm: 5.4739 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7703 loss: 0.7703 2022/08/05 02:10:45 - mmengine - INFO - Epoch(train) [50][140/940] lr: 1.0000e-03 eta: 8:26:03 time: 0.6191 data_time: 0.0462 memory: 24011 grad_norm: 4.8526 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6477 loss: 0.6477 2022/08/05 02:10:58 - mmengine - INFO - Epoch(train) [50][160/940] lr: 1.0000e-03 eta: 8:25:51 time: 0.6367 data_time: 0.0393 memory: 24011 grad_norm: 4.8469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6835 loss: 0.6835 2022/08/05 02:11:10 - mmengine - INFO - Epoch(train) [50][180/940] lr: 1.0000e-03 eta: 8:25:38 time: 0.6307 data_time: 0.0400 memory: 24011 grad_norm: 5.0615 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7584 loss: 0.7584 2022/08/05 02:11:23 - mmengine - INFO - Epoch(train) [50][200/940] lr: 1.0000e-03 eta: 8:25:25 time: 0.6268 data_time: 0.0356 memory: 24011 grad_norm: 4.8768 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7700 loss: 0.7700 2022/08/05 02:11:35 - mmengine - INFO - Epoch(train) [50][220/940] lr: 1.0000e-03 eta: 8:25:12 time: 0.6147 data_time: 0.0422 memory: 24011 grad_norm: 4.6255 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6381 loss: 0.6381 2022/08/05 02:11:48 - mmengine - INFO - Epoch(train) [50][240/940] lr: 1.0000e-03 eta: 8:24:59 time: 0.6261 data_time: 0.0383 memory: 24011 grad_norm: 5.3410 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7442 loss: 0.7442 2022/08/05 02:12:00 - mmengine - INFO - Epoch(train) [50][260/940] lr: 1.0000e-03 eta: 8:24:46 time: 0.6301 data_time: 0.0352 memory: 24011 grad_norm: 5.0896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5733 loss: 0.5733 2022/08/05 02:12:13 - mmengine - INFO - Epoch(train) [50][280/940] lr: 1.0000e-03 eta: 8:24:33 time: 0.6136 data_time: 0.0392 memory: 24011 grad_norm: 4.7927 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7558 loss: 0.7558 2022/08/05 02:12:26 - mmengine - INFO - Epoch(train) [50][300/940] lr: 1.0000e-03 eta: 8:24:21 time: 0.6689 data_time: 0.0583 memory: 24011 grad_norm: 5.0227 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7073 loss: 0.7073 2022/08/05 02:12:38 - mmengine - INFO - Epoch(train) [50][320/940] lr: 1.0000e-03 eta: 8:24:08 time: 0.6200 data_time: 0.0369 memory: 24011 grad_norm: 5.1264 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.7371 loss: 0.7371 2022/08/05 02:12:51 - mmengine - INFO - Epoch(train) [50][340/940] lr: 1.0000e-03 eta: 8:23:55 time: 0.6104 data_time: 0.0365 memory: 24011 grad_norm: 4.9154 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7045 loss: 0.7045 2022/08/05 02:13:03 - mmengine - INFO - Epoch(train) [50][360/940] lr: 1.0000e-03 eta: 8:23:42 time: 0.6066 data_time: 0.0401 memory: 24011 grad_norm: 5.1255 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7234 loss: 0.7234 2022/08/05 02:13:15 - mmengine - INFO - Epoch(train) [50][380/940] lr: 1.0000e-03 eta: 8:23:28 time: 0.6104 data_time: 0.0334 memory: 24011 grad_norm: 4.8782 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6725 loss: 0.6725 2022/08/05 02:13:28 - mmengine - INFO - Epoch(train) [50][400/940] lr: 1.0000e-03 eta: 8:23:16 time: 0.6294 data_time: 0.0370 memory: 24011 grad_norm: 4.8806 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6556 loss: 0.6556 2022/08/05 02:13:41 - mmengine - INFO - Epoch(train) [50][420/940] lr: 1.0000e-03 eta: 8:23:03 time: 0.6638 data_time: 0.0376 memory: 24011 grad_norm: 5.5759 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6330 loss: 0.6330 2022/08/05 02:13:54 - mmengine - INFO - Epoch(train) [50][440/940] lr: 1.0000e-03 eta: 8:22:51 time: 0.6339 data_time: 0.0310 memory: 24011 grad_norm: 4.7421 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7987 loss: 0.7987 2022/08/05 02:14:06 - mmengine - INFO - Epoch(train) [50][460/940] lr: 1.0000e-03 eta: 8:22:38 time: 0.6186 data_time: 0.0319 memory: 24011 grad_norm: 4.8161 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7423 loss: 0.7423 2022/08/05 02:14:19 - mmengine - INFO - Epoch(train) [50][480/940] lr: 1.0000e-03 eta: 8:22:25 time: 0.6388 data_time: 0.0410 memory: 24011 grad_norm: 4.8790 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6860 loss: 0.6860 2022/08/05 02:14:31 - mmengine - INFO - Epoch(train) [50][500/940] lr: 1.0000e-03 eta: 8:22:12 time: 0.6256 data_time: 0.0365 memory: 24011 grad_norm: 4.7932 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.8041 loss: 0.8041 2022/08/05 02:14:43 - mmengine - INFO - Epoch(train) [50][520/940] lr: 1.0000e-03 eta: 8:21:58 time: 0.5827 data_time: 0.0375 memory: 24011 grad_norm: 5.0549 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7031 loss: 0.7031 2022/08/05 02:14:55 - mmengine - INFO - Epoch(train) [50][540/940] lr: 1.0000e-03 eta: 8:21:45 time: 0.6115 data_time: 0.0392 memory: 24011 grad_norm: 4.9284 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6967 loss: 0.6967 2022/08/05 02:15:07 - mmengine - INFO - Epoch(train) [50][560/940] lr: 1.0000e-03 eta: 8:21:32 time: 0.6020 data_time: 0.0424 memory: 24011 grad_norm: 4.8723 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6842 loss: 0.6842 2022/08/05 02:15:20 - mmengine - INFO - Epoch(train) [50][580/940] lr: 1.0000e-03 eta: 8:21:19 time: 0.6432 data_time: 0.0357 memory: 24011 grad_norm: 5.1660 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6331 loss: 0.6331 2022/08/05 02:15:32 - mmengine - INFO - Epoch(train) [50][600/940] lr: 1.0000e-03 eta: 8:21:06 time: 0.6128 data_time: 0.0365 memory: 24011 grad_norm: 5.7638 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6787 loss: 0.6787 2022/08/05 02:15:45 - mmengine - INFO - Epoch(train) [50][620/940] lr: 1.0000e-03 eta: 8:20:53 time: 0.6222 data_time: 0.0360 memory: 24011 grad_norm: 4.9291 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5909 loss: 0.5909 2022/08/05 02:15:57 - mmengine - INFO - Epoch(train) [50][640/940] lr: 1.0000e-03 eta: 8:20:40 time: 0.6299 data_time: 0.0391 memory: 24011 grad_norm: 6.5521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6597 loss: 0.6597 2022/08/05 02:16:10 - mmengine - INFO - Epoch(train) [50][660/940] lr: 1.0000e-03 eta: 8:20:28 time: 0.6413 data_time: 0.0351 memory: 24011 grad_norm: 5.0506 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.6669 loss: 0.6669 2022/08/05 02:16:22 - mmengine - INFO - Epoch(train) [50][680/940] lr: 1.0000e-03 eta: 8:20:14 time: 0.5879 data_time: 0.0327 memory: 24011 grad_norm: 5.2750 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7032 loss: 0.7032 2022/08/05 02:16:35 - mmengine - INFO - Epoch(train) [50][700/940] lr: 1.0000e-03 eta: 8:20:02 time: 0.6461 data_time: 0.0408 memory: 24011 grad_norm: 4.8730 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6033 loss: 0.6033 2022/08/05 02:16:47 - mmengine - INFO - Epoch(train) [50][720/940] lr: 1.0000e-03 eta: 8:19:49 time: 0.6131 data_time: 0.0368 memory: 24011 grad_norm: 4.8936 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6607 loss: 0.6607 2022/08/05 02:17:00 - mmengine - INFO - Epoch(train) [50][740/940] lr: 1.0000e-03 eta: 8:19:36 time: 0.6266 data_time: 0.0474 memory: 24011 grad_norm: 4.7585 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6990 loss: 0.6990 2022/08/05 02:17:13 - mmengine - INFO - Epoch(train) [50][760/940] lr: 1.0000e-03 eta: 8:19:23 time: 0.6604 data_time: 0.0357 memory: 24011 grad_norm: 4.8579 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6916 loss: 0.6916 2022/08/05 02:17:26 - mmengine - INFO - Epoch(train) [50][780/940] lr: 1.0000e-03 eta: 8:19:11 time: 0.6358 data_time: 0.0392 memory: 24011 grad_norm: 5.0088 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6679 loss: 0.6679 2022/08/05 02:17:38 - mmengine - INFO - Epoch(train) [50][800/940] lr: 1.0000e-03 eta: 8:18:58 time: 0.6099 data_time: 0.0324 memory: 24011 grad_norm: 4.7678 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6596 loss: 0.6596 2022/08/05 02:17:50 - mmengine - INFO - Epoch(train) [50][820/940] lr: 1.0000e-03 eta: 8:18:45 time: 0.6191 data_time: 0.0376 memory: 24011 grad_norm: 4.9235 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7955 loss: 0.7955 2022/08/05 02:18:02 - mmengine - INFO - Epoch(train) [50][840/940] lr: 1.0000e-03 eta: 8:18:31 time: 0.5929 data_time: 0.0303 memory: 24011 grad_norm: 4.8776 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6927 loss: 0.6927 2022/08/05 02:18:15 - mmengine - INFO - Epoch(train) [50][860/940] lr: 1.0000e-03 eta: 8:18:19 time: 0.6522 data_time: 0.0422 memory: 24011 grad_norm: 4.8380 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5994 loss: 0.5994 2022/08/05 02:18:28 - mmengine - INFO - Epoch(train) [50][880/940] lr: 1.0000e-03 eta: 8:18:06 time: 0.6294 data_time: 0.0376 memory: 24011 grad_norm: 4.7503 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7104 loss: 0.7104 2022/08/05 02:18:40 - mmengine - INFO - Epoch(train) [50][900/940] lr: 1.0000e-03 eta: 8:17:53 time: 0.6144 data_time: 0.0377 memory: 24011 grad_norm: 4.8231 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6913 loss: 0.6913 2022/08/05 02:18:53 - mmengine - INFO - Epoch(train) [50][920/940] lr: 1.0000e-03 eta: 8:17:40 time: 0.6247 data_time: 0.0326 memory: 24011 grad_norm: 4.9464 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7375 loss: 0.7375 2022/08/05 02:19:04 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 02:19:04 - mmengine - INFO - Epoch(train) [50][940/940] lr: 1.0000e-03 eta: 8:17:26 time: 0.5658 data_time: 0.0281 memory: 24011 grad_norm: 5.2897 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7395 loss: 0.7395 2022/08/05 02:19:17 - mmengine - INFO - Epoch(val) [50][20/78] eta: 0:00:38 time: 0.6564 data_time: 0.5001 memory: 3625 2022/08/05 02:19:26 - mmengine - INFO - Epoch(val) [50][40/78] eta: 0:00:17 time: 0.4507 data_time: 0.2980 memory: 3625 2022/08/05 02:19:38 - mmengine - INFO - Epoch(val) [50][60/78] eta: 0:00:11 time: 0.6182 data_time: 0.4636 memory: 3625 2022/08/05 02:19:49 - mmengine - INFO - Epoch(val) [50][78/78] acc/top1: 0.7393 acc/top5: 0.9105 acc/mean1: 0.7392 2022/08/05 02:20:07 - mmengine - INFO - Epoch(train) [51][20/940] lr: 1.0000e-03 eta: 8:17:19 time: 0.9201 data_time: 0.2454 memory: 24011 grad_norm: 4.7513 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6895 loss: 0.6895 2022/08/05 02:20:19 - mmengine - INFO - Epoch(train) [51][40/940] lr: 1.0000e-03 eta: 8:17:05 time: 0.5915 data_time: 0.0292 memory: 24011 grad_norm: 4.8731 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7492 loss: 0.7492 2022/08/05 02:20:33 - mmengine - INFO - Epoch(train) [51][60/940] lr: 1.0000e-03 eta: 8:16:53 time: 0.6562 data_time: 0.0366 memory: 24011 grad_norm: 4.9202 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6981 loss: 0.6981 2022/08/05 02:20:44 - mmengine - INFO - Epoch(train) [51][80/940] lr: 1.0000e-03 eta: 8:16:40 time: 0.6032 data_time: 0.0383 memory: 24011 grad_norm: 4.9213 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7279 loss: 0.7279 2022/08/05 02:20:57 - mmengine - INFO - Epoch(train) [51][100/940] lr: 1.0000e-03 eta: 8:16:27 time: 0.6327 data_time: 0.0470 memory: 24011 grad_norm: 4.9286 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7786 loss: 0.7786 2022/08/05 02:21:10 - mmengine - INFO - Epoch(train) [51][120/940] lr: 1.0000e-03 eta: 8:16:14 time: 0.6328 data_time: 0.0376 memory: 24011 grad_norm: 5.1617 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.6120 loss: 0.6120 2022/08/05 02:21:22 - mmengine - INFO - Epoch(train) [51][140/940] lr: 1.0000e-03 eta: 8:16:01 time: 0.6252 data_time: 0.0399 memory: 24011 grad_norm: 5.0703 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7104 loss: 0.7104 2022/08/05 02:21:34 - mmengine - INFO - Epoch(train) [51][160/940] lr: 1.0000e-03 eta: 8:15:48 time: 0.5909 data_time: 0.0449 memory: 24011 grad_norm: 5.2025 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7403 loss: 0.7403 2022/08/05 02:21:48 - mmengine - INFO - Epoch(train) [51][180/940] lr: 1.0000e-03 eta: 8:15:36 time: 0.6753 data_time: 0.0326 memory: 24011 grad_norm: 4.7876 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7059 loss: 0.7059 2022/08/05 02:22:00 - mmengine - INFO - Epoch(train) [51][200/940] lr: 1.0000e-03 eta: 8:15:22 time: 0.6031 data_time: 0.0389 memory: 24011 grad_norm: 4.7386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6615 loss: 0.6615 2022/08/05 02:22:13 - mmengine - INFO - Epoch(train) [51][220/940] lr: 1.0000e-03 eta: 8:15:10 time: 0.6413 data_time: 0.0348 memory: 24011 grad_norm: 4.9837 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7060 loss: 0.7060 2022/08/05 02:22:25 - mmengine - INFO - Epoch(train) [51][240/940] lr: 1.0000e-03 eta: 8:14:56 time: 0.6036 data_time: 0.0334 memory: 24011 grad_norm: 4.9604 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6791 loss: 0.6791 2022/08/05 02:22:37 - mmengine - INFO - Epoch(train) [51][260/940] lr: 1.0000e-03 eta: 8:14:43 time: 0.6041 data_time: 0.0370 memory: 24011 grad_norm: 5.0893 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5483 loss: 0.5483 2022/08/05 02:22:49 - mmengine - INFO - Epoch(train) [51][280/940] lr: 1.0000e-03 eta: 8:14:30 time: 0.6105 data_time: 0.0354 memory: 24011 grad_norm: 6.2239 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6108 loss: 0.6108 2022/08/05 02:23:01 - mmengine - INFO - Epoch(train) [51][300/940] lr: 1.0000e-03 eta: 8:14:16 time: 0.5988 data_time: 0.0372 memory: 24011 grad_norm: 4.7712 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6201 loss: 0.6201 2022/08/05 02:23:14 - mmengine - INFO - Epoch(train) [51][320/940] lr: 1.0000e-03 eta: 8:14:04 time: 0.6556 data_time: 0.0345 memory: 24011 grad_norm: 4.9563 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7077 loss: 0.7077 2022/08/05 02:23:27 - mmengine - INFO - Epoch(train) [51][340/940] lr: 1.0000e-03 eta: 8:13:52 time: 0.6538 data_time: 0.0336 memory: 24011 grad_norm: 5.0753 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6764 loss: 0.6764 2022/08/05 02:23:39 - mmengine - INFO - Epoch(train) [51][360/940] lr: 1.0000e-03 eta: 8:13:39 time: 0.6099 data_time: 0.0378 memory: 24011 grad_norm: 5.1665 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7451 loss: 0.7451 2022/08/05 02:23:52 - mmengine - INFO - Epoch(train) [51][380/940] lr: 1.0000e-03 eta: 8:13:26 time: 0.6420 data_time: 0.0342 memory: 24011 grad_norm: 5.0563 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.7745 loss: 0.7745 2022/08/05 02:24:04 - mmengine - INFO - Epoch(train) [51][400/940] lr: 1.0000e-03 eta: 8:13:13 time: 0.6016 data_time: 0.0385 memory: 24011 grad_norm: 4.7281 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.6298 loss: 0.6298 2022/08/05 02:24:17 - mmengine - INFO - Epoch(train) [51][420/940] lr: 1.0000e-03 eta: 8:13:00 time: 0.6125 data_time: 0.0390 memory: 24011 grad_norm: 4.9022 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6193 loss: 0.6193 2022/08/05 02:24:29 - mmengine - INFO - Epoch(train) [51][440/940] lr: 1.0000e-03 eta: 8:12:47 time: 0.6219 data_time: 0.0423 memory: 24011 grad_norm: 6.2507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7147 loss: 0.7147 2022/08/05 02:24:41 - mmengine - INFO - Epoch(train) [51][460/940] lr: 1.0000e-03 eta: 8:12:33 time: 0.5943 data_time: 0.0340 memory: 24011 grad_norm: 4.8801 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7349 loss: 0.7349 2022/08/05 02:24:53 - mmengine - INFO - Epoch(train) [51][480/940] lr: 1.0000e-03 eta: 8:12:20 time: 0.6314 data_time: 0.0386 memory: 24011 grad_norm: 4.9458 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6517 loss: 0.6517 2022/08/05 02:25:06 - mmengine - INFO - Epoch(train) [51][500/940] lr: 1.0000e-03 eta: 8:12:07 time: 0.6123 data_time: 0.0330 memory: 24011 grad_norm: 5.0190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7495 loss: 0.7495 2022/08/05 02:25:19 - mmengine - INFO - Epoch(train) [51][520/940] lr: 1.0000e-03 eta: 8:11:55 time: 0.6653 data_time: 0.0508 memory: 24011 grad_norm: 5.5486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6917 loss: 0.6917 2022/08/05 02:25:31 - mmengine - INFO - Epoch(train) [51][540/940] lr: 1.0000e-03 eta: 8:11:42 time: 0.6186 data_time: 0.0314 memory: 24011 grad_norm: 5.0386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6425 loss: 0.6425 2022/08/05 02:25:44 - mmengine - INFO - Epoch(train) [51][560/940] lr: 1.0000e-03 eta: 8:11:29 time: 0.6326 data_time: 0.0321 memory: 24011 grad_norm: 4.9896 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.8015 loss: 0.8015 2022/08/05 02:25:56 - mmengine - INFO - Epoch(train) [51][580/940] lr: 1.0000e-03 eta: 8:11:16 time: 0.6223 data_time: 0.0377 memory: 24011 grad_norm: 4.9723 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6220 loss: 0.6220 2022/08/05 02:26:09 - mmengine - INFO - Epoch(train) [51][600/940] lr: 1.0000e-03 eta: 8:11:04 time: 0.6334 data_time: 0.0293 memory: 24011 grad_norm: 5.3452 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6972 loss: 0.6972 2022/08/05 02:26:21 - mmengine - INFO - Epoch(train) [51][620/940] lr: 1.0000e-03 eta: 8:10:51 time: 0.6137 data_time: 0.0339 memory: 24011 grad_norm: 5.0349 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6842 loss: 0.6842 2022/08/05 02:26:33 - mmengine - INFO - Epoch(train) [51][640/940] lr: 1.0000e-03 eta: 8:10:37 time: 0.5967 data_time: 0.0360 memory: 24011 grad_norm: 5.0945 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.6799 loss: 0.6799 2022/08/05 02:26:46 - mmengine - INFO - Epoch(train) [51][660/940] lr: 1.0000e-03 eta: 8:10:24 time: 0.6287 data_time: 0.0401 memory: 24011 grad_norm: 4.7309 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6788 loss: 0.6788 2022/08/05 02:26:58 - mmengine - INFO - Epoch(train) [51][680/940] lr: 1.0000e-03 eta: 8:10:11 time: 0.6242 data_time: 0.0412 memory: 24011 grad_norm: 5.3336 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7421 loss: 0.7421 2022/08/05 02:27:11 - mmengine - INFO - Epoch(train) [51][700/940] lr: 1.0000e-03 eta: 8:09:59 time: 0.6333 data_time: 0.0283 memory: 24011 grad_norm: 5.4542 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7010 loss: 0.7010 2022/08/05 02:27:24 - mmengine - INFO - Epoch(train) [51][720/940] lr: 1.0000e-03 eta: 8:09:46 time: 0.6479 data_time: 0.0372 memory: 24011 grad_norm: 5.3336 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7209 loss: 0.7209 2022/08/05 02:27:36 - mmengine - INFO - Epoch(train) [51][740/940] lr: 1.0000e-03 eta: 8:09:33 time: 0.6208 data_time: 0.0388 memory: 24011 grad_norm: 4.8210 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.6962 loss: 0.6962 2022/08/05 02:27:48 - mmengine - INFO - Epoch(train) [51][760/940] lr: 1.0000e-03 eta: 8:09:20 time: 0.5948 data_time: 0.0412 memory: 24011 grad_norm: 4.8016 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6903 loss: 0.6903 2022/08/05 02:28:01 - mmengine - INFO - Epoch(train) [51][780/940] lr: 1.0000e-03 eta: 8:09:07 time: 0.6348 data_time: 0.0350 memory: 24011 grad_norm: 7.0825 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7469 loss: 0.7469 2022/08/05 02:28:13 - mmengine - INFO - Epoch(train) [51][800/940] lr: 1.0000e-03 eta: 8:08:54 time: 0.6040 data_time: 0.0415 memory: 24011 grad_norm: 4.9036 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.7676 loss: 0.7676 2022/08/05 02:28:26 - mmengine - INFO - Epoch(train) [51][820/940] lr: 1.0000e-03 eta: 8:08:42 time: 0.6647 data_time: 0.0398 memory: 24011 grad_norm: 5.1187 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7519 loss: 0.7519 2022/08/05 02:28:39 - mmengine - INFO - Epoch(train) [51][840/940] lr: 1.0000e-03 eta: 8:08:29 time: 0.6229 data_time: 0.0334 memory: 24011 grad_norm: 4.9413 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.6642 loss: 0.6642 2022/08/05 02:28:51 - mmengine - INFO - Epoch(train) [51][860/940] lr: 1.0000e-03 eta: 8:08:15 time: 0.6036 data_time: 0.0387 memory: 24011 grad_norm: 4.9670 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7494 loss: 0.7494 2022/08/05 02:29:04 - mmengine - INFO - Epoch(train) [51][880/940] lr: 1.0000e-03 eta: 8:08:03 time: 0.6326 data_time: 0.0427 memory: 24011 grad_norm: 4.7632 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.7062 loss: 0.7062 2022/08/05 02:29:16 - mmengine - INFO - Epoch(train) [51][900/940] lr: 1.0000e-03 eta: 8:07:50 time: 0.6310 data_time: 0.0383 memory: 24011 grad_norm: 5.7398 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6706 loss: 0.6706 2022/08/05 02:29:29 - mmengine - INFO - Epoch(train) [51][920/940] lr: 1.0000e-03 eta: 8:07:37 time: 0.6119 data_time: 0.0558 memory: 24011 grad_norm: 4.8490 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7594 loss: 0.7594 2022/08/05 02:29:40 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 02:29:40 - mmengine - INFO - Epoch(train) [51][940/940] lr: 1.0000e-03 eta: 8:07:23 time: 0.5575 data_time: 0.0394 memory: 24011 grad_norm: 4.9314 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.6958 loss: 0.6958 2022/08/05 02:29:40 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/08/05 02:29:59 - mmengine - INFO - Epoch(val) [51][20/78] eta: 0:00:40 time: 0.6964 data_time: 0.5441 memory: 3625 2022/08/05 02:30:08 - mmengine - INFO - Epoch(val) [51][40/78] eta: 0:00:16 time: 0.4359 data_time: 0.2814 memory: 3625 2022/08/05 02:30:19 - mmengine - INFO - Epoch(val) [51][60/78] eta: 0:00:10 time: 0.5981 data_time: 0.4446 memory: 3625 2022/08/05 02:30:29 - mmengine - INFO - Epoch(val) [51][78/78] acc/top1: 0.7388 acc/top5: 0.9084 acc/mean1: 0.7386 2022/08/05 02:30:46 - mmengine - INFO - Epoch(train) [52][20/940] lr: 1.0000e-03 eta: 8:07:14 time: 0.8513 data_time: 0.2627 memory: 24011 grad_norm: 5.2067 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6906 loss: 0.6906 2022/08/05 02:30:59 - mmengine - INFO - Epoch(train) [52][40/940] lr: 1.0000e-03 eta: 8:07:02 time: 0.6559 data_time: 0.0798 memory: 24011 grad_norm: 5.5755 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7191 loss: 0.7191 2022/08/05 02:31:12 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 02:31:12 - mmengine - INFO - Epoch(train) [52][60/940] lr: 1.0000e-03 eta: 8:06:49 time: 0.6435 data_time: 0.0538 memory: 24011 grad_norm: 4.8073 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6492 loss: 0.6492 2022/08/05 02:31:24 - mmengine - INFO - Epoch(train) [52][80/940] lr: 1.0000e-03 eta: 8:06:36 time: 0.6030 data_time: 0.0320 memory: 24011 grad_norm: 5.0197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6973 loss: 0.6973 2022/08/05 02:31:36 - mmengine - INFO - Epoch(train) [52][100/940] lr: 1.0000e-03 eta: 8:06:23 time: 0.6332 data_time: 0.0625 memory: 24011 grad_norm: 4.9322 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6645 loss: 0.6645 2022/08/05 02:31:49 - mmengine - INFO - Epoch(train) [52][120/940] lr: 1.0000e-03 eta: 8:06:10 time: 0.6218 data_time: 0.0281 memory: 24011 grad_norm: 4.7564 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6808 loss: 0.6808 2022/08/05 02:32:01 - mmengine - INFO - Epoch(train) [52][140/940] lr: 1.0000e-03 eta: 8:05:57 time: 0.6225 data_time: 0.0315 memory: 24011 grad_norm: 5.0956 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6699 loss: 0.6699 2022/08/05 02:32:13 - mmengine - INFO - Epoch(train) [52][160/940] lr: 1.0000e-03 eta: 8:05:44 time: 0.6053 data_time: 0.0365 memory: 24011 grad_norm: 7.3842 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6737 loss: 0.6737 2022/08/05 02:32:26 - mmengine - INFO - Epoch(train) [52][180/940] lr: 1.0000e-03 eta: 8:05:31 time: 0.6415 data_time: 0.0470 memory: 24011 grad_norm: 5.2744 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7117 loss: 0.7117 2022/08/05 02:32:39 - mmengine - INFO - Epoch(train) [52][200/940] lr: 1.0000e-03 eta: 8:05:18 time: 0.6247 data_time: 0.0290 memory: 24011 grad_norm: 4.9789 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.6705 loss: 0.6705 2022/08/05 02:32:52 - mmengine - INFO - Epoch(train) [52][220/940] lr: 1.0000e-03 eta: 8:05:06 time: 0.6491 data_time: 0.0386 memory: 24011 grad_norm: 5.5237 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.6063 loss: 0.6063 2022/08/05 02:33:04 - mmengine - INFO - Epoch(train) [52][240/940] lr: 1.0000e-03 eta: 8:04:53 time: 0.6251 data_time: 0.0294 memory: 24011 grad_norm: 4.9498 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7019 loss: 0.7019 2022/08/05 02:33:17 - mmengine - INFO - Epoch(train) [52][260/940] lr: 1.0000e-03 eta: 8:04:41 time: 0.6489 data_time: 0.0462 memory: 24011 grad_norm: 5.1058 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6523 loss: 0.6523 2022/08/05 02:33:30 - mmengine - INFO - Epoch(train) [52][280/940] lr: 1.0000e-03 eta: 8:04:28 time: 0.6226 data_time: 0.0318 memory: 24011 grad_norm: 4.8326 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6312 loss: 0.6312 2022/08/05 02:33:42 - mmengine - INFO - Epoch(train) [52][300/940] lr: 1.0000e-03 eta: 8:04:15 time: 0.6210 data_time: 0.0376 memory: 24011 grad_norm: 5.0370 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6933 loss: 0.6933 2022/08/05 02:33:54 - mmengine - INFO - Epoch(train) [52][320/940] lr: 1.0000e-03 eta: 8:04:02 time: 0.6034 data_time: 0.0320 memory: 24011 grad_norm: 4.9786 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7109 loss: 0.7109 2022/08/05 02:34:07 - mmengine - INFO - Epoch(train) [52][340/940] lr: 1.0000e-03 eta: 8:03:49 time: 0.6218 data_time: 0.0358 memory: 24011 grad_norm: 4.9858 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6989 loss: 0.6989 2022/08/05 02:34:19 - mmengine - INFO - Epoch(train) [52][360/940] lr: 1.0000e-03 eta: 8:03:35 time: 0.6076 data_time: 0.0272 memory: 24011 grad_norm: 4.6318 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6524 loss: 0.6524 2022/08/05 02:34:31 - mmengine - INFO - Epoch(train) [52][380/940] lr: 1.0000e-03 eta: 8:03:23 time: 0.6317 data_time: 0.0374 memory: 24011 grad_norm: 4.9705 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6266 loss: 0.6266 2022/08/05 02:34:44 - mmengine - INFO - Epoch(train) [52][400/940] lr: 1.0000e-03 eta: 8:03:10 time: 0.6437 data_time: 0.0554 memory: 24011 grad_norm: 4.8272 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6980 loss: 0.6980 2022/08/05 02:34:57 - mmengine - INFO - Epoch(train) [52][420/940] lr: 1.0000e-03 eta: 8:02:57 time: 0.6189 data_time: 0.0440 memory: 24011 grad_norm: 4.7339 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7458 loss: 0.7458 2022/08/05 02:35:09 - mmengine - INFO - Epoch(train) [52][440/940] lr: 1.0000e-03 eta: 8:02:44 time: 0.6071 data_time: 0.0356 memory: 24011 grad_norm: 4.8711 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6957 loss: 0.6957 2022/08/05 02:35:22 - mmengine - INFO - Epoch(train) [52][460/940] lr: 1.0000e-03 eta: 8:02:31 time: 0.6459 data_time: 0.0345 memory: 24011 grad_norm: 5.1769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7475 loss: 0.7475 2022/08/05 02:35:34 - mmengine - INFO - Epoch(train) [52][480/940] lr: 1.0000e-03 eta: 8:02:18 time: 0.6242 data_time: 0.0397 memory: 24011 grad_norm: 5.2159 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6750 loss: 0.6750 2022/08/05 02:35:47 - mmengine - INFO - Epoch(train) [52][500/940] lr: 1.0000e-03 eta: 8:02:06 time: 0.6502 data_time: 0.0445 memory: 24011 grad_norm: 4.8352 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6753 loss: 0.6753 2022/08/05 02:35:59 - mmengine - INFO - Epoch(train) [52][520/940] lr: 1.0000e-03 eta: 8:01:53 time: 0.6040 data_time: 0.0348 memory: 24011 grad_norm: 5.3282 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6150 loss: 0.6150 2022/08/05 02:36:11 - mmengine - INFO - Epoch(train) [52][540/940] lr: 1.0000e-03 eta: 8:01:39 time: 0.6030 data_time: 0.0400 memory: 24011 grad_norm: 4.6916 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6764 loss: 0.6764 2022/08/05 02:36:24 - mmengine - INFO - Epoch(train) [52][560/940] lr: 1.0000e-03 eta: 8:01:27 time: 0.6298 data_time: 0.0309 memory: 24011 grad_norm: 6.0737 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7036 loss: 0.7036 2022/08/05 02:36:37 - mmengine - INFO - Epoch(train) [52][580/940] lr: 1.0000e-03 eta: 8:01:15 time: 0.6655 data_time: 0.0371 memory: 24011 grad_norm: 5.1399 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.6376 loss: 0.6376 2022/08/05 02:36:49 - mmengine - INFO - Epoch(train) [52][600/940] lr: 1.0000e-03 eta: 8:01:01 time: 0.5969 data_time: 0.0308 memory: 24011 grad_norm: 5.0494 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7524 loss: 0.7524 2022/08/05 02:37:01 - mmengine - INFO - Epoch(train) [52][620/940] lr: 1.0000e-03 eta: 8:00:48 time: 0.6074 data_time: 0.0364 memory: 24011 grad_norm: 5.2994 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6779 loss: 0.6779 2022/08/05 02:37:14 - mmengine - INFO - Epoch(train) [52][640/940] lr: 1.0000e-03 eta: 8:00:35 time: 0.6261 data_time: 0.0345 memory: 24011 grad_norm: 4.8758 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6735 loss: 0.6735 2022/08/05 02:37:27 - mmengine - INFO - Epoch(train) [52][660/940] lr: 1.0000e-03 eta: 8:00:23 time: 0.6522 data_time: 0.0999 memory: 24011 grad_norm: 5.7113 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7947 loss: 0.7947 2022/08/05 02:37:39 - mmengine - INFO - Epoch(train) [52][680/940] lr: 1.0000e-03 eta: 8:00:09 time: 0.6010 data_time: 0.0274 memory: 24011 grad_norm: 5.1451 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7601 loss: 0.7601 2022/08/05 02:37:52 - mmengine - INFO - Epoch(train) [52][700/940] lr: 1.0000e-03 eta: 7:59:56 time: 0.6226 data_time: 0.0584 memory: 24011 grad_norm: 4.7239 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6349 loss: 0.6349 2022/08/05 02:38:03 - mmengine - INFO - Epoch(train) [52][720/940] lr: 1.0000e-03 eta: 7:59:43 time: 0.5903 data_time: 0.0271 memory: 24011 grad_norm: 4.8582 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7293 loss: 0.7293 2022/08/05 02:38:16 - mmengine - INFO - Epoch(train) [52][740/940] lr: 1.0000e-03 eta: 7:59:30 time: 0.6367 data_time: 0.0820 memory: 24011 grad_norm: 4.8733 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7464 loss: 0.7464 2022/08/05 02:38:29 - mmengine - INFO - Epoch(train) [52][760/940] lr: 1.0000e-03 eta: 7:59:17 time: 0.6278 data_time: 0.0543 memory: 24011 grad_norm: 4.8273 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6670 loss: 0.6670 2022/08/05 02:38:41 - mmengine - INFO - Epoch(train) [52][780/940] lr: 1.0000e-03 eta: 7:59:05 time: 0.6230 data_time: 0.0460 memory: 24011 grad_norm: 4.9914 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7220 loss: 0.7220 2022/08/05 02:38:54 - mmengine - INFO - Epoch(train) [52][800/940] lr: 1.0000e-03 eta: 7:58:52 time: 0.6271 data_time: 0.0617 memory: 24011 grad_norm: 4.8332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6421 loss: 0.6421 2022/08/05 02:39:06 - mmengine - INFO - Epoch(train) [52][820/940] lr: 1.0000e-03 eta: 7:58:39 time: 0.6208 data_time: 0.0444 memory: 24011 grad_norm: 4.9225 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7091 loss: 0.7091 2022/08/05 02:39:19 - mmengine - INFO - Epoch(train) [52][840/940] lr: 1.0000e-03 eta: 7:58:26 time: 0.6259 data_time: 0.0293 memory: 24011 grad_norm: 4.9266 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6399 loss: 0.6399 2022/08/05 02:39:31 - mmengine - INFO - Epoch(train) [52][860/940] lr: 1.0000e-03 eta: 7:58:13 time: 0.6341 data_time: 0.0385 memory: 24011 grad_norm: 4.8898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6017 loss: 0.6017 2022/08/05 02:39:44 - mmengine - INFO - Epoch(train) [52][880/940] lr: 1.0000e-03 eta: 7:58:00 time: 0.6344 data_time: 0.0333 memory: 24011 grad_norm: 5.2491 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6830 loss: 0.6830 2022/08/05 02:39:56 - mmengine - INFO - Epoch(train) [52][900/940] lr: 1.0000e-03 eta: 7:57:47 time: 0.6012 data_time: 0.0400 memory: 24011 grad_norm: 4.8673 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6903 loss: 0.6903 2022/08/05 02:40:08 - mmengine - INFO - Epoch(train) [52][920/940] lr: 1.0000e-03 eta: 7:57:34 time: 0.6008 data_time: 0.0315 memory: 24011 grad_norm: 4.9215 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6389 loss: 0.6389 2022/08/05 02:40:19 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 02:40:19 - mmengine - INFO - Epoch(train) [52][940/940] lr: 1.0000e-03 eta: 7:57:20 time: 0.5512 data_time: 0.0283 memory: 24011 grad_norm: 5.2919 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.6486 loss: 0.6486 2022/08/05 02:40:32 - mmengine - INFO - Epoch(val) [52][20/78] eta: 0:00:37 time: 0.6547 data_time: 0.5017 memory: 3625 2022/08/05 02:40:41 - mmengine - INFO - Epoch(val) [52][40/78] eta: 0:00:17 time: 0.4598 data_time: 0.3082 memory: 3625 2022/08/05 02:40:54 - mmengine - INFO - Epoch(val) [52][60/78] eta: 0:00:11 time: 0.6270 data_time: 0.4654 memory: 3625 2022/08/05 02:41:04 - mmengine - INFO - Epoch(val) [52][78/78] acc/top1: 0.7372 acc/top5: 0.9085 acc/mean1: 0.7371 2022/08/05 02:41:21 - mmengine - INFO - Epoch(train) [53][20/940] lr: 1.0000e-03 eta: 7:57:11 time: 0.8501 data_time: 0.2223 memory: 24011 grad_norm: 4.9485 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6191 loss: 0.6191 2022/08/05 02:41:34 - mmengine - INFO - Epoch(train) [53][40/940] lr: 1.0000e-03 eta: 7:56:58 time: 0.6497 data_time: 0.0534 memory: 24011 grad_norm: 5.0080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7013 loss: 0.7013 2022/08/05 02:41:47 - mmengine - INFO - Epoch(train) [53][60/940] lr: 1.0000e-03 eta: 7:56:46 time: 0.6624 data_time: 0.0391 memory: 24011 grad_norm: 4.9801 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7285 loss: 0.7285 2022/08/05 02:41:59 - mmengine - INFO - Epoch(train) [53][80/940] lr: 1.0000e-03 eta: 7:56:33 time: 0.6026 data_time: 0.0301 memory: 24011 grad_norm: 4.7531 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.6043 loss: 0.6043 2022/08/05 02:42:12 - mmengine - INFO - Epoch(train) [53][100/940] lr: 1.0000e-03 eta: 7:56:20 time: 0.6452 data_time: 0.0369 memory: 24011 grad_norm: 4.8802 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6067 loss: 0.6067 2022/08/05 02:42:25 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 02:42:25 - mmengine - INFO - Epoch(train) [53][120/940] lr: 1.0000e-03 eta: 7:56:08 time: 0.6504 data_time: 0.0295 memory: 24011 grad_norm: 4.7202 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6406 loss: 0.6406 2022/08/05 02:42:37 - mmengine - INFO - Epoch(train) [53][140/940] lr: 1.0000e-03 eta: 7:55:55 time: 0.6067 data_time: 0.0468 memory: 24011 grad_norm: 4.7922 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7711 loss: 0.7711 2022/08/05 02:42:50 - mmengine - INFO - Epoch(train) [53][160/940] lr: 1.0000e-03 eta: 7:55:42 time: 0.6066 data_time: 0.0373 memory: 24011 grad_norm: 5.1116 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7274 loss: 0.7274 2022/08/05 02:43:03 - mmengine - INFO - Epoch(train) [53][180/940] lr: 1.0000e-03 eta: 7:55:29 time: 0.6639 data_time: 0.0405 memory: 24011 grad_norm: 4.8448 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7129 loss: 0.7129 2022/08/05 02:43:15 - mmengine - INFO - Epoch(train) [53][200/940] lr: 1.0000e-03 eta: 7:55:17 time: 0.6228 data_time: 0.0418 memory: 24011 grad_norm: 5.0214 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7339 loss: 0.7339 2022/08/05 02:43:28 - mmengine - INFO - Epoch(train) [53][220/940] lr: 1.0000e-03 eta: 7:55:04 time: 0.6481 data_time: 0.0357 memory: 24011 grad_norm: 5.4070 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6528 loss: 0.6528 2022/08/05 02:43:40 - mmengine - INFO - Epoch(train) [53][240/940] lr: 1.0000e-03 eta: 7:54:50 time: 0.5829 data_time: 0.0365 memory: 24011 grad_norm: 5.3592 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6743 loss: 0.6743 2022/08/05 02:43:52 - mmengine - INFO - Epoch(train) [53][260/940] lr: 1.0000e-03 eta: 7:54:37 time: 0.6227 data_time: 0.0394 memory: 24011 grad_norm: 4.9265 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6034 loss: 0.6034 2022/08/05 02:44:04 - mmengine - INFO - Epoch(train) [53][280/940] lr: 1.0000e-03 eta: 7:54:24 time: 0.5817 data_time: 0.0340 memory: 24011 grad_norm: 4.7810 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7143 loss: 0.7143 2022/08/05 02:44:17 - mmengine - INFO - Epoch(train) [53][300/940] lr: 1.0000e-03 eta: 7:54:11 time: 0.6239 data_time: 0.0435 memory: 24011 grad_norm: 5.2633 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6063 loss: 0.6063 2022/08/05 02:44:29 - mmengine - INFO - Epoch(train) [53][320/940] lr: 1.0000e-03 eta: 7:53:58 time: 0.6313 data_time: 0.0331 memory: 24011 grad_norm: 4.9287 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.7534 loss: 0.7534 2022/08/05 02:44:42 - mmengine - INFO - Epoch(train) [53][340/940] lr: 1.0000e-03 eta: 7:53:45 time: 0.6292 data_time: 0.0382 memory: 24011 grad_norm: 5.3539 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6469 loss: 0.6469 2022/08/05 02:44:54 - mmengine - INFO - Epoch(train) [53][360/940] lr: 1.0000e-03 eta: 7:53:32 time: 0.6079 data_time: 0.0313 memory: 24011 grad_norm: 5.2152 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7486 loss: 0.7486 2022/08/05 02:45:07 - mmengine - INFO - Epoch(train) [53][380/940] lr: 1.0000e-03 eta: 7:53:20 time: 0.6683 data_time: 0.0366 memory: 24011 grad_norm: 5.2171 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7349 loss: 0.7349 2022/08/05 02:45:19 - mmengine - INFO - Epoch(train) [53][400/940] lr: 1.0000e-03 eta: 7:53:07 time: 0.5928 data_time: 0.0306 memory: 24011 grad_norm: 6.0589 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.6727 loss: 0.6727 2022/08/05 02:45:31 - mmengine - INFO - Epoch(train) [53][420/940] lr: 1.0000e-03 eta: 7:52:54 time: 0.6137 data_time: 0.0422 memory: 24011 grad_norm: 5.2238 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6923 loss: 0.6923 2022/08/05 02:45:45 - mmengine - INFO - Epoch(train) [53][440/940] lr: 1.0000e-03 eta: 7:52:42 time: 0.6804 data_time: 0.0307 memory: 24011 grad_norm: 5.7547 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7246 loss: 0.7246 2022/08/05 02:45:57 - mmengine - INFO - Epoch(train) [53][460/940] lr: 1.0000e-03 eta: 7:52:29 time: 0.6135 data_time: 0.0440 memory: 24011 grad_norm: 5.1664 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6862 loss: 0.6862 2022/08/05 02:46:10 - mmengine - INFO - Epoch(train) [53][480/940] lr: 1.0000e-03 eta: 7:52:16 time: 0.6356 data_time: 0.0425 memory: 24011 grad_norm: 5.4371 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8216 loss: 0.8216 2022/08/05 02:46:23 - mmengine - INFO - Epoch(train) [53][500/940] lr: 1.0000e-03 eta: 7:52:03 time: 0.6288 data_time: 0.0371 memory: 24011 grad_norm: 5.0185 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6500 loss: 0.6500 2022/08/05 02:46:35 - mmengine - INFO - Epoch(train) [53][520/940] lr: 1.0000e-03 eta: 7:51:50 time: 0.6121 data_time: 0.0342 memory: 24011 grad_norm: 4.8215 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7701 loss: 0.7701 2022/08/05 02:46:47 - mmengine - INFO - Epoch(train) [53][540/940] lr: 1.0000e-03 eta: 7:51:37 time: 0.6218 data_time: 0.0318 memory: 24011 grad_norm: 4.9103 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6501 loss: 0.6501 2022/08/05 02:47:00 - mmengine - INFO - Epoch(train) [53][560/940] lr: 1.0000e-03 eta: 7:51:24 time: 0.6214 data_time: 0.0387 memory: 24011 grad_norm: 4.8890 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6840 loss: 0.6840 2022/08/05 02:47:13 - mmengine - INFO - Epoch(train) [53][580/940] lr: 1.0000e-03 eta: 7:51:12 time: 0.6391 data_time: 0.0401 memory: 24011 grad_norm: 5.4323 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7479 loss: 0.7479 2022/08/05 02:47:25 - mmengine - INFO - Epoch(train) [53][600/940] lr: 1.0000e-03 eta: 7:50:59 time: 0.6194 data_time: 0.0370 memory: 24011 grad_norm: 4.9555 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7007 loss: 0.7007 2022/08/05 02:47:37 - mmengine - INFO - Epoch(train) [53][620/940] lr: 1.0000e-03 eta: 7:50:45 time: 0.6003 data_time: 0.0356 memory: 24011 grad_norm: 5.2325 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6499 loss: 0.6499 2022/08/05 02:47:49 - mmengine - INFO - Epoch(train) [53][640/940] lr: 1.0000e-03 eta: 7:50:32 time: 0.5925 data_time: 0.0362 memory: 24011 grad_norm: 5.0213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6631 loss: 0.6631 2022/08/05 02:48:01 - mmengine - INFO - Epoch(train) [53][660/940] lr: 1.0000e-03 eta: 7:50:19 time: 0.6183 data_time: 0.0422 memory: 24011 grad_norm: 4.9432 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6733 loss: 0.6733 2022/08/05 02:48:13 - mmengine - INFO - Epoch(train) [53][680/940] lr: 1.0000e-03 eta: 7:50:05 time: 0.5989 data_time: 0.0318 memory: 24011 grad_norm: 4.6833 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6072 loss: 0.6072 2022/08/05 02:48:25 - mmengine - INFO - Epoch(train) [53][700/940] lr: 1.0000e-03 eta: 7:49:52 time: 0.6024 data_time: 0.0368 memory: 24011 grad_norm: 4.8830 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6981 loss: 0.6981 2022/08/05 02:48:38 - mmengine - INFO - Epoch(train) [53][720/940] lr: 1.0000e-03 eta: 7:49:40 time: 0.6613 data_time: 0.0416 memory: 24011 grad_norm: 5.1839 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5490 loss: 0.5490 2022/08/05 02:48:51 - mmengine - INFO - Epoch(train) [53][740/940] lr: 1.0000e-03 eta: 7:49:27 time: 0.6110 data_time: 0.0384 memory: 24011 grad_norm: 4.7470 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7081 loss: 0.7081 2022/08/05 02:49:04 - mmengine - INFO - Epoch(train) [53][760/940] lr: 1.0000e-03 eta: 7:49:15 time: 0.6627 data_time: 0.0367 memory: 24011 grad_norm: 4.7003 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6128 loss: 0.6128 2022/08/05 02:49:17 - mmengine - INFO - Epoch(train) [53][780/940] lr: 1.0000e-03 eta: 7:49:02 time: 0.6333 data_time: 0.0345 memory: 24011 grad_norm: 4.8329 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6937 loss: 0.6937 2022/08/05 02:49:30 - mmengine - INFO - Epoch(train) [53][800/940] lr: 1.0000e-03 eta: 7:48:50 time: 0.6719 data_time: 0.0312 memory: 24011 grad_norm: 4.7351 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6367 loss: 0.6367 2022/08/05 02:49:42 - mmengine - INFO - Epoch(train) [53][820/940] lr: 1.0000e-03 eta: 7:48:37 time: 0.6081 data_time: 0.0350 memory: 24011 grad_norm: 4.9137 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6778 loss: 0.6778 2022/08/05 02:49:55 - mmengine - INFO - Epoch(train) [53][840/940] lr: 1.0000e-03 eta: 7:48:24 time: 0.6225 data_time: 0.0413 memory: 24011 grad_norm: 5.4345 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6813 loss: 0.6813 2022/08/05 02:50:07 - mmengine - INFO - Epoch(train) [53][860/940] lr: 1.0000e-03 eta: 7:48:11 time: 0.6372 data_time: 0.0365 memory: 24011 grad_norm: 5.8084 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6753 loss: 0.6753 2022/08/05 02:50:20 - mmengine - INFO - Epoch(train) [53][880/940] lr: 1.0000e-03 eta: 7:47:58 time: 0.6222 data_time: 0.0318 memory: 24011 grad_norm: 4.9095 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6364 loss: 0.6364 2022/08/05 02:50:32 - mmengine - INFO - Epoch(train) [53][900/940] lr: 1.0000e-03 eta: 7:47:45 time: 0.5864 data_time: 0.0385 memory: 24011 grad_norm: 4.9661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6546 loss: 0.6546 2022/08/05 02:50:44 - mmengine - INFO - Epoch(train) [53][920/940] lr: 1.0000e-03 eta: 7:47:31 time: 0.6022 data_time: 0.0372 memory: 24011 grad_norm: 4.8637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6925 loss: 0.6925 2022/08/05 02:50:54 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 02:50:54 - mmengine - INFO - Epoch(train) [53][940/940] lr: 1.0000e-03 eta: 7:47:17 time: 0.5408 data_time: 0.0308 memory: 24011 grad_norm: 4.9988 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7210 loss: 0.7210 2022/08/05 02:51:08 - mmengine - INFO - Epoch(val) [53][20/78] eta: 0:00:39 time: 0.6850 data_time: 0.5293 memory: 3625 2022/08/05 02:51:17 - mmengine - INFO - Epoch(val) [53][40/78] eta: 0:00:16 time: 0.4382 data_time: 0.2840 memory: 3625 2022/08/05 02:51:30 - mmengine - INFO - Epoch(val) [53][60/78] eta: 0:00:11 time: 0.6341 data_time: 0.4805 memory: 3625 2022/08/05 02:51:39 - mmengine - INFO - Epoch(val) [53][78/78] acc/top1: 0.7406 acc/top5: 0.9087 acc/mean1: 0.7404 2022/08/05 02:51:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_48.pth is removed 2022/08/05 02:51:43 - mmengine - INFO - The best checkpoint with 0.7406 acc/top1 at 54 epoch is saved to best_acc/top1_epoch_54.pth. 2022/08/05 02:51:59 - mmengine - INFO - Epoch(train) [54][20/940] lr: 1.0000e-03 eta: 7:47:07 time: 0.8003 data_time: 0.2603 memory: 24011 grad_norm: 5.1402 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5991 loss: 0.5991 2022/08/05 02:52:11 - mmengine - INFO - Epoch(train) [54][40/940] lr: 1.0000e-03 eta: 7:46:54 time: 0.5896 data_time: 0.0478 memory: 24011 grad_norm: 4.8796 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6829 loss: 0.6829 2022/08/05 02:52:23 - mmengine - INFO - Epoch(train) [54][60/940] lr: 1.0000e-03 eta: 7:46:41 time: 0.6396 data_time: 0.0825 memory: 24011 grad_norm: 5.0858 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6131 loss: 0.6131 2022/08/05 02:52:36 - mmengine - INFO - Epoch(train) [54][80/940] lr: 1.0000e-03 eta: 7:46:28 time: 0.6141 data_time: 0.0321 memory: 24011 grad_norm: 5.1219 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6431 loss: 0.6431 2022/08/05 02:52:48 - mmengine - INFO - Epoch(train) [54][100/940] lr: 1.0000e-03 eta: 7:46:15 time: 0.6076 data_time: 0.0624 memory: 24011 grad_norm: 4.9085 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6217 loss: 0.6217 2022/08/05 02:53:00 - mmengine - INFO - Epoch(train) [54][120/940] lr: 1.0000e-03 eta: 7:46:02 time: 0.6073 data_time: 0.0532 memory: 24011 grad_norm: 5.1698 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7401 loss: 0.7401 2022/08/05 02:53:13 - mmengine - INFO - Epoch(train) [54][140/940] lr: 1.0000e-03 eta: 7:45:50 time: 0.6631 data_time: 0.1223 memory: 24011 grad_norm: 4.8796 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6597 loss: 0.6597 2022/08/05 02:53:26 - mmengine - INFO - Epoch(train) [54][160/940] lr: 1.0000e-03 eta: 7:45:37 time: 0.6316 data_time: 0.0724 memory: 24011 grad_norm: 4.9795 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.7234 loss: 0.7234 2022/08/05 02:53:39 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 02:53:39 - mmengine - INFO - Epoch(train) [54][180/940] lr: 1.0000e-03 eta: 7:45:24 time: 0.6330 data_time: 0.0764 memory: 24011 grad_norm: 4.8104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6290 loss: 0.6290 2022/08/05 02:53:51 - mmengine - INFO - Epoch(train) [54][200/940] lr: 1.0000e-03 eta: 7:45:11 time: 0.6092 data_time: 0.0304 memory: 24011 grad_norm: 5.0607 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6428 loss: 0.6428 2022/08/05 02:54:03 - mmengine - INFO - Epoch(train) [54][220/940] lr: 1.0000e-03 eta: 7:44:58 time: 0.6388 data_time: 0.0470 memory: 24011 grad_norm: 5.3419 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6668 loss: 0.6668 2022/08/05 02:54:15 - mmengine - INFO - Epoch(train) [54][240/940] lr: 1.0000e-03 eta: 7:44:45 time: 0.5879 data_time: 0.0322 memory: 24011 grad_norm: 5.0809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5791 loss: 0.5791 2022/08/05 02:54:28 - mmengine - INFO - Epoch(train) [54][260/940] lr: 1.0000e-03 eta: 7:44:32 time: 0.6160 data_time: 0.0398 memory: 24011 grad_norm: 5.2531 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6074 loss: 0.6074 2022/08/05 02:54:40 - mmengine - INFO - Epoch(train) [54][280/940] lr: 1.0000e-03 eta: 7:44:19 time: 0.6408 data_time: 0.0306 memory: 24011 grad_norm: 5.2649 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7407 loss: 0.7407 2022/08/05 02:54:54 - mmengine - INFO - Epoch(train) [54][300/940] lr: 1.0000e-03 eta: 7:44:07 time: 0.6696 data_time: 0.0364 memory: 24011 grad_norm: 4.7641 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7133 loss: 0.7133 2022/08/05 02:55:07 - mmengine - INFO - Epoch(train) [54][320/940] lr: 1.0000e-03 eta: 7:43:55 time: 0.6371 data_time: 0.0306 memory: 24011 grad_norm: 4.7233 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6787 loss: 0.6787 2022/08/05 02:55:19 - mmengine - INFO - Epoch(train) [54][340/940] lr: 1.0000e-03 eta: 7:43:42 time: 0.6167 data_time: 0.0472 memory: 24011 grad_norm: 4.9450 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6784 loss: 0.6784 2022/08/05 02:55:31 - mmengine - INFO - Epoch(train) [54][360/940] lr: 1.0000e-03 eta: 7:43:28 time: 0.5829 data_time: 0.0339 memory: 24011 grad_norm: 5.6766 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7406 loss: 0.7406 2022/08/05 02:55:43 - mmengine - INFO - Epoch(train) [54][380/940] lr: 1.0000e-03 eta: 7:43:15 time: 0.5999 data_time: 0.0392 memory: 24011 grad_norm: 5.2658 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7184 loss: 0.7184 2022/08/05 02:55:55 - mmengine - INFO - Epoch(train) [54][400/940] lr: 1.0000e-03 eta: 7:43:02 time: 0.6125 data_time: 0.0313 memory: 24011 grad_norm: 5.3646 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5905 loss: 0.5905 2022/08/05 02:56:08 - mmengine - INFO - Epoch(train) [54][420/940] lr: 1.0000e-03 eta: 7:42:49 time: 0.6503 data_time: 0.0374 memory: 24011 grad_norm: 4.6955 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6567 loss: 0.6567 2022/08/05 02:56:20 - mmengine - INFO - Epoch(train) [54][440/940] lr: 1.0000e-03 eta: 7:42:36 time: 0.6205 data_time: 0.0319 memory: 24011 grad_norm: 4.7975 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7904 loss: 0.7904 2022/08/05 02:56:33 - mmengine - INFO - Epoch(train) [54][460/940] lr: 1.0000e-03 eta: 7:42:24 time: 0.6486 data_time: 0.0365 memory: 24011 grad_norm: 5.5896 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7897 loss: 0.7897 2022/08/05 02:56:46 - mmengine - INFO - Epoch(train) [54][480/940] lr: 1.0000e-03 eta: 7:42:11 time: 0.6517 data_time: 0.0353 memory: 24011 grad_norm: 4.8453 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6218 loss: 0.6218 2022/08/05 02:56:58 - mmengine - INFO - Epoch(train) [54][500/940] lr: 1.0000e-03 eta: 7:41:58 time: 0.6091 data_time: 0.0314 memory: 24011 grad_norm: 5.8260 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6344 loss: 0.6344 2022/08/05 02:57:10 - mmengine - INFO - Epoch(train) [54][520/940] lr: 1.0000e-03 eta: 7:41:45 time: 0.5936 data_time: 0.0340 memory: 24011 grad_norm: 5.3347 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6699 loss: 0.6699 2022/08/05 02:57:23 - mmengine - INFO - Epoch(train) [54][540/940] lr: 1.0000e-03 eta: 7:41:32 time: 0.6396 data_time: 0.0349 memory: 24011 grad_norm: 5.0208 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.7681 loss: 0.7681 2022/08/05 02:57:35 - mmengine - INFO - Epoch(train) [54][560/940] lr: 1.0000e-03 eta: 7:41:19 time: 0.6028 data_time: 0.0533 memory: 24011 grad_norm: 4.9898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6630 loss: 0.6630 2022/08/05 02:57:48 - mmengine - INFO - Epoch(train) [54][580/940] lr: 1.0000e-03 eta: 7:41:06 time: 0.6250 data_time: 0.0417 memory: 24011 grad_norm: 5.1917 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6406 loss: 0.6406 2022/08/05 02:58:00 - mmengine - INFO - Epoch(train) [54][600/940] lr: 1.0000e-03 eta: 7:40:53 time: 0.6175 data_time: 0.0397 memory: 24011 grad_norm: 4.8482 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6510 loss: 0.6510 2022/08/05 02:58:12 - mmengine - INFO - Epoch(train) [54][620/940] lr: 1.0000e-03 eta: 7:40:40 time: 0.5969 data_time: 0.0341 memory: 24011 grad_norm: 4.9685 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6951 loss: 0.6951 2022/08/05 02:58:25 - mmengine - INFO - Epoch(train) [54][640/940] lr: 1.0000e-03 eta: 7:40:27 time: 0.6399 data_time: 0.0390 memory: 24011 grad_norm: 5.1548 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6846 loss: 0.6846 2022/08/05 02:58:37 - mmengine - INFO - Epoch(train) [54][660/940] lr: 1.0000e-03 eta: 7:40:14 time: 0.5966 data_time: 0.0359 memory: 24011 grad_norm: 4.8563 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6743 loss: 0.6743 2022/08/05 02:58:50 - mmengine - INFO - Epoch(train) [54][680/940] lr: 1.0000e-03 eta: 7:40:01 time: 0.6430 data_time: 0.0322 memory: 24011 grad_norm: 4.8198 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7099 loss: 0.7099 2022/08/05 02:59:02 - mmengine - INFO - Epoch(train) [54][700/940] lr: 1.0000e-03 eta: 7:39:48 time: 0.6207 data_time: 0.0320 memory: 24011 grad_norm: 4.6878 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6896 loss: 0.6896 2022/08/05 02:59:14 - mmengine - INFO - Epoch(train) [54][720/940] lr: 1.0000e-03 eta: 7:39:35 time: 0.6193 data_time: 0.0318 memory: 24011 grad_norm: 4.7645 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6168 loss: 0.6168 2022/08/05 02:59:28 - mmengine - INFO - Epoch(train) [54][740/940] lr: 1.0000e-03 eta: 7:39:23 time: 0.6641 data_time: 0.0336 memory: 24011 grad_norm: 4.7624 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6987 loss: 0.6987 2022/08/05 02:59:40 - mmengine - INFO - Epoch(train) [54][760/940] lr: 1.0000e-03 eta: 7:39:10 time: 0.5955 data_time: 0.0377 memory: 24011 grad_norm: 5.2515 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6366 loss: 0.6366 2022/08/05 02:59:52 - mmengine - INFO - Epoch(train) [54][780/940] lr: 1.0000e-03 eta: 7:38:57 time: 0.6024 data_time: 0.0456 memory: 24011 grad_norm: 5.2876 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6675 loss: 0.6675 2022/08/05 03:00:04 - mmengine - INFO - Epoch(train) [54][800/940] lr: 1.0000e-03 eta: 7:38:44 time: 0.6081 data_time: 0.0331 memory: 24011 grad_norm: 4.8747 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6814 loss: 0.6814 2022/08/05 03:00:17 - mmengine - INFO - Epoch(train) [54][820/940] lr: 1.0000e-03 eta: 7:38:31 time: 0.6578 data_time: 0.0314 memory: 24011 grad_norm: 4.7339 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5636 loss: 0.5636 2022/08/05 03:00:29 - mmengine - INFO - Epoch(train) [54][840/940] lr: 1.0000e-03 eta: 7:38:18 time: 0.6220 data_time: 0.0329 memory: 24011 grad_norm: 5.0152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6928 loss: 0.6928 2022/08/05 03:00:42 - mmengine - INFO - Epoch(train) [54][860/940] lr: 1.0000e-03 eta: 7:38:05 time: 0.6113 data_time: 0.0314 memory: 24011 grad_norm: 4.7747 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6592 loss: 0.6592 2022/08/05 03:00:54 - mmengine - INFO - Epoch(train) [54][880/940] lr: 1.0000e-03 eta: 7:37:53 time: 0.6304 data_time: 0.0385 memory: 24011 grad_norm: 5.0061 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6829 loss: 0.6829 2022/08/05 03:01:07 - mmengine - INFO - Epoch(train) [54][900/940] lr: 1.0000e-03 eta: 7:37:40 time: 0.6442 data_time: 0.0345 memory: 24011 grad_norm: 4.9133 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6636 loss: 0.6636 2022/08/05 03:01:19 - mmengine - INFO - Epoch(train) [54][920/940] lr: 1.0000e-03 eta: 7:37:27 time: 0.5951 data_time: 0.0417 memory: 24011 grad_norm: 4.9762 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6216 loss: 0.6216 2022/08/05 03:01:31 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:01:31 - mmengine - INFO - Epoch(train) [54][940/940] lr: 1.0000e-03 eta: 7:37:13 time: 0.5822 data_time: 0.0515 memory: 24011 grad_norm: 5.5180 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.8632 loss: 0.8632 2022/08/05 03:01:31 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/08/05 03:01:49 - mmengine - INFO - Epoch(val) [54][20/78] eta: 0:00:39 time: 0.6730 data_time: 0.5192 memory: 3625 2022/08/05 03:01:58 - mmengine - INFO - Epoch(val) [54][40/78] eta: 0:00:17 time: 0.4525 data_time: 0.3016 memory: 3625 2022/08/05 03:02:10 - mmengine - INFO - Epoch(val) [54][60/78] eta: 0:00:10 time: 0.6039 data_time: 0.4443 memory: 3625 2022/08/05 03:02:19 - mmengine - INFO - Epoch(val) [54][78/78] acc/top1: 0.7398 acc/top5: 0.9102 acc/mean1: 0.7397 2022/08/05 03:02:37 - mmengine - INFO - Epoch(train) [55][20/940] lr: 1.0000e-03 eta: 7:37:05 time: 0.8887 data_time: 0.2566 memory: 24011 grad_norm: 4.6439 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6825 loss: 0.6825 2022/08/05 03:02:49 - mmengine - INFO - Epoch(train) [55][40/940] lr: 1.0000e-03 eta: 7:36:51 time: 0.6054 data_time: 0.0353 memory: 24011 grad_norm: 4.9309 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6710 loss: 0.6710 2022/08/05 03:03:02 - mmengine - INFO - Epoch(train) [55][60/940] lr: 1.0000e-03 eta: 7:36:39 time: 0.6519 data_time: 0.0379 memory: 24011 grad_norm: 4.7931 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6668 loss: 0.6668 2022/08/05 03:03:14 - mmengine - INFO - Epoch(train) [55][80/940] lr: 1.0000e-03 eta: 7:36:26 time: 0.5969 data_time: 0.0377 memory: 24011 grad_norm: 4.8605 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7674 loss: 0.7674 2022/08/05 03:03:28 - mmengine - INFO - Epoch(train) [55][100/940] lr: 1.0000e-03 eta: 7:36:14 time: 0.6770 data_time: 0.0361 memory: 24011 grad_norm: 5.1959 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6867 loss: 0.6867 2022/08/05 03:03:41 - mmengine - INFO - Epoch(train) [55][120/940] lr: 1.0000e-03 eta: 7:36:01 time: 0.6392 data_time: 0.0334 memory: 24011 grad_norm: 4.9565 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6282 loss: 0.6282 2022/08/05 03:03:53 - mmengine - INFO - Epoch(train) [55][140/940] lr: 1.0000e-03 eta: 7:35:48 time: 0.6193 data_time: 0.0352 memory: 24011 grad_norm: 5.3685 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5601 loss: 0.5601 2022/08/05 03:04:07 - mmengine - INFO - Epoch(train) [55][160/940] lr: 1.0000e-03 eta: 7:35:36 time: 0.6873 data_time: 0.0391 memory: 24011 grad_norm: 4.9205 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6995 loss: 0.6995 2022/08/05 03:04:19 - mmengine - INFO - Epoch(train) [55][180/940] lr: 1.0000e-03 eta: 7:35:23 time: 0.6180 data_time: 0.0506 memory: 24011 grad_norm: 4.8154 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6770 loss: 0.6770 2022/08/05 03:04:31 - mmengine - INFO - Epoch(train) [55][200/940] lr: 1.0000e-03 eta: 7:35:10 time: 0.6048 data_time: 0.0385 memory: 24011 grad_norm: 5.1689 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6240 loss: 0.6240 2022/08/05 03:04:44 - mmengine - INFO - Epoch(train) [55][220/940] lr: 1.0000e-03 eta: 7:34:58 time: 0.6539 data_time: 0.0415 memory: 24011 grad_norm: 5.1127 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6639 loss: 0.6639 2022/08/05 03:04:56 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:04:56 - mmengine - INFO - Epoch(train) [55][240/940] lr: 1.0000e-03 eta: 7:34:45 time: 0.5949 data_time: 0.0345 memory: 24011 grad_norm: 5.0144 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5649 loss: 0.5649 2022/08/05 03:05:08 - mmengine - INFO - Epoch(train) [55][260/940] lr: 1.0000e-03 eta: 7:34:31 time: 0.6060 data_time: 0.0338 memory: 24011 grad_norm: 4.7686 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6860 loss: 0.6860 2022/08/05 03:05:21 - mmengine - INFO - Epoch(train) [55][280/940] lr: 1.0000e-03 eta: 7:34:18 time: 0.6193 data_time: 0.0389 memory: 24011 grad_norm: 4.5000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5782 loss: 0.5782 2022/08/05 03:05:33 - mmengine - INFO - Epoch(train) [55][300/940] lr: 1.0000e-03 eta: 7:34:05 time: 0.6161 data_time: 0.0312 memory: 24011 grad_norm: 4.7085 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6427 loss: 0.6427 2022/08/05 03:05:46 - mmengine - INFO - Epoch(train) [55][320/940] lr: 1.0000e-03 eta: 7:33:53 time: 0.6294 data_time: 0.0398 memory: 24011 grad_norm: 5.5806 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6440 loss: 0.6440 2022/08/05 03:05:58 - mmengine - INFO - Epoch(train) [55][340/940] lr: 1.0000e-03 eta: 7:33:40 time: 0.6235 data_time: 0.0293 memory: 24011 grad_norm: 4.7330 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6498 loss: 0.6498 2022/08/05 03:06:10 - mmengine - INFO - Epoch(train) [55][360/940] lr: 1.0000e-03 eta: 7:33:26 time: 0.5938 data_time: 0.0411 memory: 24011 grad_norm: 5.4326 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6430 loss: 0.6430 2022/08/05 03:06:22 - mmengine - INFO - Epoch(train) [55][380/940] lr: 1.0000e-03 eta: 7:33:14 time: 0.6263 data_time: 0.0317 memory: 24011 grad_norm: 4.9996 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7312 loss: 0.7312 2022/08/05 03:06:36 - mmengine - INFO - Epoch(train) [55][400/940] lr: 1.0000e-03 eta: 7:33:01 time: 0.6617 data_time: 0.0866 memory: 24011 grad_norm: 4.9226 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7311 loss: 0.7311 2022/08/05 03:06:49 - mmengine - INFO - Epoch(train) [55][420/940] lr: 1.0000e-03 eta: 7:32:49 time: 0.6496 data_time: 0.0629 memory: 24011 grad_norm: 4.8140 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7130 loss: 0.7130 2022/08/05 03:07:01 - mmengine - INFO - Epoch(train) [55][440/940] lr: 1.0000e-03 eta: 7:32:36 time: 0.6027 data_time: 0.0573 memory: 24011 grad_norm: 4.8645 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7870 loss: 0.7870 2022/08/05 03:07:13 - mmengine - INFO - Epoch(train) [55][460/940] lr: 1.0000e-03 eta: 7:32:23 time: 0.6340 data_time: 0.0748 memory: 24011 grad_norm: 4.6958 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7002 loss: 0.7002 2022/08/05 03:07:25 - mmengine - INFO - Epoch(train) [55][480/940] lr: 1.0000e-03 eta: 7:32:10 time: 0.5962 data_time: 0.0417 memory: 24011 grad_norm: 4.9242 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6283 loss: 0.6283 2022/08/05 03:07:37 - mmengine - INFO - Epoch(train) [55][500/940] lr: 1.0000e-03 eta: 7:31:56 time: 0.5967 data_time: 0.0307 memory: 24011 grad_norm: 4.8784 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6172 loss: 0.6172 2022/08/05 03:07:50 - mmengine - INFO - Epoch(train) [55][520/940] lr: 1.0000e-03 eta: 7:31:43 time: 0.6241 data_time: 0.0459 memory: 24011 grad_norm: 4.8908 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.6246 loss: 0.6246 2022/08/05 03:08:03 - mmengine - INFO - Epoch(train) [55][540/940] lr: 1.0000e-03 eta: 7:31:31 time: 0.6420 data_time: 0.0546 memory: 24011 grad_norm: 5.3682 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6792 loss: 0.6792 2022/08/05 03:08:15 - mmengine - INFO - Epoch(train) [55][560/940] lr: 1.0000e-03 eta: 7:31:18 time: 0.6255 data_time: 0.0408 memory: 24011 grad_norm: 4.8607 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6587 loss: 0.6587 2022/08/05 03:08:28 - mmengine - INFO - Epoch(train) [55][580/940] lr: 1.0000e-03 eta: 7:31:06 time: 0.6510 data_time: 0.0362 memory: 24011 grad_norm: 5.0000 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7656 loss: 0.7656 2022/08/05 03:08:40 - mmengine - INFO - Epoch(train) [55][600/940] lr: 1.0000e-03 eta: 7:30:52 time: 0.6048 data_time: 0.0332 memory: 24011 grad_norm: 5.4697 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7099 loss: 0.7099 2022/08/05 03:08:53 - mmengine - INFO - Epoch(train) [55][620/940] lr: 1.0000e-03 eta: 7:30:40 time: 0.6360 data_time: 0.0415 memory: 24011 grad_norm: 5.0864 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7082 loss: 0.7082 2022/08/05 03:09:06 - mmengine - INFO - Epoch(train) [55][640/940] lr: 1.0000e-03 eta: 7:30:27 time: 0.6298 data_time: 0.0341 memory: 24011 grad_norm: 4.7457 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6139 loss: 0.6139 2022/08/05 03:09:18 - mmengine - INFO - Epoch(train) [55][660/940] lr: 1.0000e-03 eta: 7:30:14 time: 0.6073 data_time: 0.0415 memory: 24011 grad_norm: 4.8310 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5970 loss: 0.5970 2022/08/05 03:09:30 - mmengine - INFO - Epoch(train) [55][680/940] lr: 1.0000e-03 eta: 7:30:01 time: 0.6111 data_time: 0.0374 memory: 24011 grad_norm: 4.6388 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5814 loss: 0.5814 2022/08/05 03:09:43 - mmengine - INFO - Epoch(train) [55][700/940] lr: 1.0000e-03 eta: 7:29:48 time: 0.6386 data_time: 0.0344 memory: 24011 grad_norm: 4.8594 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5837 loss: 0.5837 2022/08/05 03:09:55 - mmengine - INFO - Epoch(train) [55][720/940] lr: 1.0000e-03 eta: 7:29:35 time: 0.6078 data_time: 0.0348 memory: 24011 grad_norm: 4.8054 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.6364 loss: 0.6364 2022/08/05 03:10:08 - mmengine - INFO - Epoch(train) [55][740/940] lr: 1.0000e-03 eta: 7:29:22 time: 0.6387 data_time: 0.0341 memory: 24011 grad_norm: 4.8737 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.7029 loss: 0.7029 2022/08/05 03:10:20 - mmengine - INFO - Epoch(train) [55][760/940] lr: 1.0000e-03 eta: 7:29:10 time: 0.6219 data_time: 0.0379 memory: 24011 grad_norm: 4.9250 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6325 loss: 0.6325 2022/08/05 03:10:32 - mmengine - INFO - Epoch(train) [55][780/940] lr: 1.0000e-03 eta: 7:28:56 time: 0.5980 data_time: 0.0333 memory: 24011 grad_norm: 7.4647 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5999 loss: 0.5999 2022/08/05 03:10:45 - mmengine - INFO - Epoch(train) [55][800/940] lr: 1.0000e-03 eta: 7:28:44 time: 0.6685 data_time: 0.0336 memory: 24011 grad_norm: 5.5222 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.7135 loss: 0.7135 2022/08/05 03:10:58 - mmengine - INFO - Epoch(train) [55][820/940] lr: 1.0000e-03 eta: 7:28:31 time: 0.6186 data_time: 0.0354 memory: 24011 grad_norm: 5.0619 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.8018 loss: 0.8018 2022/08/05 03:11:10 - mmengine - INFO - Epoch(train) [55][840/940] lr: 1.0000e-03 eta: 7:28:18 time: 0.6055 data_time: 0.0341 memory: 24011 grad_norm: 5.3449 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.7531 loss: 0.7531 2022/08/05 03:11:22 - mmengine - INFO - Epoch(train) [55][860/940] lr: 1.0000e-03 eta: 7:28:05 time: 0.6086 data_time: 0.0344 memory: 24011 grad_norm: 4.7330 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.7657 loss: 0.7657 2022/08/05 03:11:34 - mmengine - INFO - Epoch(train) [55][880/940] lr: 1.0000e-03 eta: 7:27:51 time: 0.5825 data_time: 0.0393 memory: 24011 grad_norm: 5.0137 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6264 loss: 0.6264 2022/08/05 03:11:47 - mmengine - INFO - Epoch(train) [55][900/940] lr: 1.0000e-03 eta: 7:27:39 time: 0.6674 data_time: 0.0341 memory: 24011 grad_norm: 5.1553 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6509 loss: 0.6509 2022/08/05 03:12:00 - mmengine - INFO - Epoch(train) [55][920/940] lr: 1.0000e-03 eta: 7:27:26 time: 0.6260 data_time: 0.0572 memory: 24011 grad_norm: 5.5224 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6991 loss: 0.6991 2022/08/05 03:12:11 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:12:11 - mmengine - INFO - Epoch(train) [55][940/940] lr: 1.0000e-03 eta: 7:27:13 time: 0.5637 data_time: 0.0260 memory: 24011 grad_norm: 5.2086 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6494 loss: 0.6494 2022/08/05 03:12:24 - mmengine - INFO - Epoch(val) [55][20/78] eta: 0:00:38 time: 0.6716 data_time: 0.5176 memory: 3625 2022/08/05 03:12:33 - mmengine - INFO - Epoch(val) [55][40/78] eta: 0:00:16 time: 0.4383 data_time: 0.2858 memory: 3625 2022/08/05 03:12:46 - mmengine - INFO - Epoch(val) [55][60/78] eta: 0:00:11 time: 0.6305 data_time: 0.4765 memory: 3625 2022/08/05 03:12:56 - mmengine - INFO - Epoch(val) [55][78/78] acc/top1: 0.7408 acc/top5: 0.9091 acc/mean1: 0.7406 2022/08/05 03:12:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_54.pth is removed 2022/08/05 03:12:59 - mmengine - INFO - The best checkpoint with 0.7408 acc/top1 at 56 epoch is saved to best_acc/top1_epoch_56.pth. 2022/08/05 03:13:16 - mmengine - INFO - Epoch(train) [56][20/940] lr: 1.0000e-03 eta: 7:27:03 time: 0.8347 data_time: 0.2819 memory: 24011 grad_norm: 4.6247 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7144 loss: 0.7144 2022/08/05 03:13:28 - mmengine - INFO - Epoch(train) [56][40/940] lr: 1.0000e-03 eta: 7:26:50 time: 0.6136 data_time: 0.0679 memory: 24011 grad_norm: 4.9263 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.6040 loss: 0.6040 2022/08/05 03:13:41 - mmengine - INFO - Epoch(train) [56][60/940] lr: 1.0000e-03 eta: 7:26:38 time: 0.6434 data_time: 0.0711 memory: 24011 grad_norm: 5.0659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6119 loss: 0.6119 2022/08/05 03:13:53 - mmengine - INFO - Epoch(train) [56][80/940] lr: 1.0000e-03 eta: 7:26:24 time: 0.5978 data_time: 0.0567 memory: 24011 grad_norm: 5.0804 top1_acc: 0.8438 top5_acc: 0.8438 loss_cls: 0.6517 loss: 0.6517 2022/08/05 03:14:07 - mmengine - INFO - Epoch(train) [56][100/940] lr: 1.0000e-03 eta: 7:26:12 time: 0.6788 data_time: 0.1137 memory: 24011 grad_norm: 4.7532 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7175 loss: 0.7175 2022/08/05 03:14:19 - mmengine - INFO - Epoch(train) [56][120/940] lr: 1.0000e-03 eta: 7:25:59 time: 0.5866 data_time: 0.0344 memory: 24011 grad_norm: 4.7377 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7256 loss: 0.7256 2022/08/05 03:14:31 - mmengine - INFO - Epoch(train) [56][140/940] lr: 1.0000e-03 eta: 7:25:46 time: 0.6186 data_time: 0.0653 memory: 24011 grad_norm: 10.3274 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6656 loss: 0.6656 2022/08/05 03:14:43 - mmengine - INFO - Epoch(train) [56][160/940] lr: 1.0000e-03 eta: 7:25:33 time: 0.5995 data_time: 0.0544 memory: 24011 grad_norm: 5.0705 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7005 loss: 0.7005 2022/08/05 03:14:55 - mmengine - INFO - Epoch(train) [56][180/940] lr: 1.0000e-03 eta: 7:25:19 time: 0.6013 data_time: 0.0371 memory: 24011 grad_norm: 4.8345 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6807 loss: 0.6807 2022/08/05 03:15:08 - mmengine - INFO - Epoch(train) [56][200/940] lr: 1.0000e-03 eta: 7:25:07 time: 0.6706 data_time: 0.0519 memory: 24011 grad_norm: 6.0766 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5991 loss: 0.5991 2022/08/05 03:15:21 - mmengine - INFO - Epoch(train) [56][220/940] lr: 1.0000e-03 eta: 7:24:55 time: 0.6340 data_time: 0.0454 memory: 24011 grad_norm: 5.0071 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6942 loss: 0.6942 2022/08/05 03:15:33 - mmengine - INFO - Epoch(train) [56][240/940] lr: 1.0000e-03 eta: 7:24:42 time: 0.6086 data_time: 0.0386 memory: 24011 grad_norm: 4.7758 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6567 loss: 0.6567 2022/08/05 03:15:46 - mmengine - INFO - Epoch(train) [56][260/940] lr: 1.0000e-03 eta: 7:24:29 time: 0.6312 data_time: 0.0343 memory: 24011 grad_norm: 5.1970 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6797 loss: 0.6797 2022/08/05 03:15:59 - mmengine - INFO - Epoch(train) [56][280/940] lr: 1.0000e-03 eta: 7:24:16 time: 0.6547 data_time: 0.0352 memory: 24011 grad_norm: 5.1540 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6315 loss: 0.6315 2022/08/05 03:16:12 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:16:12 - mmengine - INFO - Epoch(train) [56][300/940] lr: 1.0000e-03 eta: 7:24:04 time: 0.6379 data_time: 0.0480 memory: 24011 grad_norm: 5.5012 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6465 loss: 0.6465 2022/08/05 03:16:24 - mmengine - INFO - Epoch(train) [56][320/940] lr: 1.0000e-03 eta: 7:23:51 time: 0.6228 data_time: 0.0341 memory: 24011 grad_norm: 5.5389 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6649 loss: 0.6649 2022/08/05 03:16:36 - mmengine - INFO - Epoch(train) [56][340/940] lr: 1.0000e-03 eta: 7:23:38 time: 0.5935 data_time: 0.0366 memory: 24011 grad_norm: 5.9897 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6596 loss: 0.6596 2022/08/05 03:16:50 - mmengine - INFO - Epoch(train) [56][360/940] lr: 1.0000e-03 eta: 7:23:26 time: 0.6742 data_time: 0.0404 memory: 24011 grad_norm: 5.4360 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6950 loss: 0.6950 2022/08/05 03:17:02 - mmengine - INFO - Epoch(train) [56][380/940] lr: 1.0000e-03 eta: 7:23:13 time: 0.6307 data_time: 0.0348 memory: 24011 grad_norm: 4.8809 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7300 loss: 0.7300 2022/08/05 03:17:14 - mmengine - INFO - Epoch(train) [56][400/940] lr: 1.0000e-03 eta: 7:23:00 time: 0.5976 data_time: 0.0289 memory: 24011 grad_norm: 5.4752 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7230 loss: 0.7230 2022/08/05 03:17:27 - mmengine - INFO - Epoch(train) [56][420/940] lr: 1.0000e-03 eta: 7:22:47 time: 0.6451 data_time: 0.0342 memory: 24011 grad_norm: 4.9914 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.6293 loss: 0.6293 2022/08/05 03:17:40 - mmengine - INFO - Epoch(train) [56][440/940] lr: 1.0000e-03 eta: 7:22:34 time: 0.6334 data_time: 0.0337 memory: 24011 grad_norm: 5.5404 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7313 loss: 0.7313 2022/08/05 03:17:52 - mmengine - INFO - Epoch(train) [56][460/940] lr: 1.0000e-03 eta: 7:22:21 time: 0.6039 data_time: 0.0380 memory: 24011 grad_norm: 16.2309 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6999 loss: 0.6999 2022/08/05 03:18:05 - mmengine - INFO - Epoch(train) [56][480/940] lr: 1.0000e-03 eta: 7:22:09 time: 0.6413 data_time: 0.0335 memory: 24011 grad_norm: 5.2034 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5867 loss: 0.5867 2022/08/05 03:18:17 - mmengine - INFO - Epoch(train) [56][500/940] lr: 1.0000e-03 eta: 7:21:55 time: 0.5930 data_time: 0.0380 memory: 24011 grad_norm: 4.8974 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6733 loss: 0.6733 2022/08/05 03:18:28 - mmengine - INFO - Epoch(train) [56][520/940] lr: 1.0000e-03 eta: 7:21:42 time: 0.5926 data_time: 0.0409 memory: 24011 grad_norm: 5.2936 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5773 loss: 0.5773 2022/08/05 03:18:40 - mmengine - INFO - Epoch(train) [56][540/940] lr: 1.0000e-03 eta: 7:21:28 time: 0.5850 data_time: 0.0361 memory: 24011 grad_norm: 5.0342 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7111 loss: 0.7111 2022/08/05 03:18:53 - mmengine - INFO - Epoch(train) [56][560/940] lr: 1.0000e-03 eta: 7:21:16 time: 0.6312 data_time: 0.0507 memory: 24011 grad_norm: 5.0703 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7067 loss: 0.7067 2022/08/05 03:19:05 - mmengine - INFO - Epoch(train) [56][580/940] lr: 1.0000e-03 eta: 7:21:03 time: 0.6080 data_time: 0.0368 memory: 24011 grad_norm: 5.0895 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7178 loss: 0.7178 2022/08/05 03:19:18 - mmengine - INFO - Epoch(train) [56][600/940] lr: 1.0000e-03 eta: 7:20:50 time: 0.6265 data_time: 0.0371 memory: 24011 grad_norm: 5.1456 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6403 loss: 0.6403 2022/08/05 03:19:30 - mmengine - INFO - Epoch(train) [56][620/940] lr: 1.0000e-03 eta: 7:20:37 time: 0.6236 data_time: 0.0615 memory: 24011 grad_norm: 6.1751 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6884 loss: 0.6884 2022/08/05 03:19:44 - mmengine - INFO - Epoch(train) [56][640/940] lr: 1.0000e-03 eta: 7:20:25 time: 0.6998 data_time: 0.1376 memory: 24011 grad_norm: 4.8452 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7286 loss: 0.7286 2022/08/05 03:19:56 - mmengine - INFO - Epoch(train) [56][660/940] lr: 1.0000e-03 eta: 7:20:12 time: 0.6185 data_time: 0.0388 memory: 24011 grad_norm: 4.8702 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6772 loss: 0.6772 2022/08/05 03:20:09 - mmengine - INFO - Epoch(train) [56][680/940] lr: 1.0000e-03 eta: 7:19:59 time: 0.6250 data_time: 0.0645 memory: 24011 grad_norm: 4.9725 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6892 loss: 0.6892 2022/08/05 03:20:21 - mmengine - INFO - Epoch(train) [56][700/940] lr: 1.0000e-03 eta: 7:19:46 time: 0.5932 data_time: 0.0416 memory: 24011 grad_norm: 4.8191 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6205 loss: 0.6205 2022/08/05 03:20:34 - mmengine - INFO - Epoch(train) [56][720/940] lr: 1.0000e-03 eta: 7:19:34 time: 0.6521 data_time: 0.0891 memory: 24011 grad_norm: 5.1559 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6565 loss: 0.6565 2022/08/05 03:20:47 - mmengine - INFO - Epoch(train) [56][740/940] lr: 1.0000e-03 eta: 7:19:22 time: 0.6687 data_time: 0.0784 memory: 24011 grad_norm: 5.1604 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6932 loss: 0.6932 2022/08/05 03:20:59 - mmengine - INFO - Epoch(train) [56][760/940] lr: 1.0000e-03 eta: 7:19:08 time: 0.5806 data_time: 0.0307 memory: 24011 grad_norm: 4.9101 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6763 loss: 0.6763 2022/08/05 03:21:11 - mmengine - INFO - Epoch(train) [56][780/940] lr: 1.0000e-03 eta: 7:18:55 time: 0.5933 data_time: 0.0360 memory: 24011 grad_norm: 4.8955 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6455 loss: 0.6455 2022/08/05 03:21:23 - mmengine - INFO - Epoch(train) [56][800/940] lr: 1.0000e-03 eta: 7:18:42 time: 0.6174 data_time: 0.0645 memory: 24011 grad_norm: 5.2223 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6154 loss: 0.6154 2022/08/05 03:21:35 - mmengine - INFO - Epoch(train) [56][820/940] lr: 1.0000e-03 eta: 7:18:29 time: 0.6159 data_time: 0.0413 memory: 24011 grad_norm: 5.2286 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6779 loss: 0.6779 2022/08/05 03:21:49 - mmengine - INFO - Epoch(train) [56][840/940] lr: 1.0000e-03 eta: 7:18:16 time: 0.6564 data_time: 0.0336 memory: 24011 grad_norm: 5.4391 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7907 loss: 0.7907 2022/08/05 03:22:00 - mmengine - INFO - Epoch(train) [56][860/940] lr: 1.0000e-03 eta: 7:18:03 time: 0.5991 data_time: 0.0470 memory: 24011 grad_norm: 5.2246 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6580 loss: 0.6580 2022/08/05 03:22:12 - mmengine - INFO - Epoch(train) [56][880/940] lr: 1.0000e-03 eta: 7:17:50 time: 0.5968 data_time: 0.0407 memory: 24011 grad_norm: 4.9800 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6245 loss: 0.6245 2022/08/05 03:22:25 - mmengine - INFO - Epoch(train) [56][900/940] lr: 1.0000e-03 eta: 7:17:37 time: 0.6093 data_time: 0.0561 memory: 24011 grad_norm: 4.9436 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6486 loss: 0.6486 2022/08/05 03:22:37 - mmengine - INFO - Epoch(train) [56][920/940] lr: 1.0000e-03 eta: 7:17:24 time: 0.6215 data_time: 0.0387 memory: 24011 grad_norm: 4.6033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6928 loss: 0.6928 2022/08/05 03:22:48 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:22:48 - mmengine - INFO - Epoch(train) [56][940/940] lr: 1.0000e-03 eta: 7:17:10 time: 0.5609 data_time: 0.0371 memory: 24011 grad_norm: 5.9823 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6483 loss: 0.6483 2022/08/05 03:23:02 - mmengine - INFO - Epoch(val) [56][20/78] eta: 0:00:39 time: 0.6825 data_time: 0.5268 memory: 3625 2022/08/05 03:23:11 - mmengine - INFO - Epoch(val) [56][40/78] eta: 0:00:17 time: 0.4525 data_time: 0.2974 memory: 3625 2022/08/05 03:23:23 - mmengine - INFO - Epoch(val) [56][60/78] eta: 0:00:11 time: 0.6130 data_time: 0.4586 memory: 3625 2022/08/05 03:23:33 - mmengine - INFO - Epoch(val) [56][78/78] acc/top1: 0.7394 acc/top5: 0.9089 acc/mean1: 0.7393 2022/08/05 03:23:51 - mmengine - INFO - Epoch(train) [57][20/940] lr: 1.0000e-03 eta: 7:17:01 time: 0.8600 data_time: 0.3012 memory: 24011 grad_norm: 5.2811 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6251 loss: 0.6251 2022/08/05 03:24:04 - mmengine - INFO - Epoch(train) [57][40/940] lr: 1.0000e-03 eta: 7:16:49 time: 0.6622 data_time: 0.1041 memory: 24011 grad_norm: 5.0126 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6682 loss: 0.6682 2022/08/05 03:24:17 - mmengine - INFO - Epoch(train) [57][60/940] lr: 1.0000e-03 eta: 7:16:36 time: 0.6375 data_time: 0.0542 memory: 24011 grad_norm: 4.9462 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5950 loss: 0.5950 2022/08/05 03:24:28 - mmengine - INFO - Epoch(train) [57][80/940] lr: 1.0000e-03 eta: 7:16:23 time: 0.5899 data_time: 0.0350 memory: 24011 grad_norm: 4.9189 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5942 loss: 0.5942 2022/08/05 03:24:41 - mmengine - INFO - Epoch(train) [57][100/940] lr: 1.0000e-03 eta: 7:16:10 time: 0.6511 data_time: 0.0322 memory: 24011 grad_norm: 5.3773 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5572 loss: 0.5572 2022/08/05 03:24:54 - mmengine - INFO - Epoch(train) [57][120/940] lr: 1.0000e-03 eta: 7:15:57 time: 0.6137 data_time: 0.0318 memory: 24011 grad_norm: 4.9485 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6358 loss: 0.6358 2022/08/05 03:25:06 - mmengine - INFO - Epoch(train) [57][140/940] lr: 1.0000e-03 eta: 7:15:44 time: 0.6170 data_time: 0.0371 memory: 24011 grad_norm: 4.8090 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6606 loss: 0.6606 2022/08/05 03:25:18 - mmengine - INFO - Epoch(train) [57][160/940] lr: 1.0000e-03 eta: 7:15:31 time: 0.6238 data_time: 0.0763 memory: 24011 grad_norm: 5.2392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6817 loss: 0.6817 2022/08/05 03:25:31 - mmengine - INFO - Epoch(train) [57][180/940] lr: 1.0000e-03 eta: 7:15:19 time: 0.6418 data_time: 0.0740 memory: 24011 grad_norm: 4.9048 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7193 loss: 0.7193 2022/08/05 03:25:44 - mmengine - INFO - Epoch(train) [57][200/940] lr: 1.0000e-03 eta: 7:15:06 time: 0.6178 data_time: 0.0335 memory: 24011 grad_norm: 5.1128 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6872 loss: 0.6872 2022/08/05 03:25:56 - mmengine - INFO - Epoch(train) [57][220/940] lr: 1.0000e-03 eta: 7:14:53 time: 0.6340 data_time: 0.0450 memory: 24011 grad_norm: 6.2590 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6660 loss: 0.6660 2022/08/05 03:26:09 - mmengine - INFO - Epoch(train) [57][240/940] lr: 1.0000e-03 eta: 7:14:41 time: 0.6420 data_time: 0.0294 memory: 24011 grad_norm: 4.6737 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6638 loss: 0.6638 2022/08/05 03:26:22 - mmengine - INFO - Epoch(train) [57][260/940] lr: 1.0000e-03 eta: 7:14:28 time: 0.6181 data_time: 0.0343 memory: 24011 grad_norm: 4.8003 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7095 loss: 0.7095 2022/08/05 03:26:34 - mmengine - INFO - Epoch(train) [57][280/940] lr: 1.0000e-03 eta: 7:14:15 time: 0.6003 data_time: 0.0339 memory: 24011 grad_norm: 5.4896 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6680 loss: 0.6680 2022/08/05 03:26:46 - mmengine - INFO - Epoch(train) [57][300/940] lr: 1.0000e-03 eta: 7:14:02 time: 0.6430 data_time: 0.0337 memory: 24011 grad_norm: 4.8293 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6395 loss: 0.6395 2022/08/05 03:26:59 - mmengine - INFO - Epoch(train) [57][320/940] lr: 1.0000e-03 eta: 7:13:49 time: 0.6081 data_time: 0.0346 memory: 24011 grad_norm: 4.7190 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5965 loss: 0.5965 2022/08/05 03:27:11 - mmengine - INFO - Epoch(train) [57][340/940] lr: 1.0000e-03 eta: 7:13:36 time: 0.6419 data_time: 0.0724 memory: 24011 grad_norm: 5.0914 top1_acc: 0.5938 top5_acc: 0.8438 loss_cls: 0.6911 loss: 0.6911 2022/08/05 03:27:23 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:27:23 - mmengine - INFO - Epoch(train) [57][360/940] lr: 1.0000e-03 eta: 7:13:23 time: 0.5983 data_time: 0.0267 memory: 24011 grad_norm: 4.9202 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5806 loss: 0.5806 2022/08/05 03:27:36 - mmengine - INFO - Epoch(train) [57][380/940] lr: 1.0000e-03 eta: 7:13:10 time: 0.6076 data_time: 0.0359 memory: 24011 grad_norm: 4.9989 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6109 loss: 0.6109 2022/08/05 03:27:49 - mmengine - INFO - Epoch(train) [57][400/940] lr: 1.0000e-03 eta: 7:12:58 time: 0.6557 data_time: 0.0376 memory: 24011 grad_norm: 5.1580 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7155 loss: 0.7155 2022/08/05 03:28:02 - mmengine - INFO - Epoch(train) [57][420/940] lr: 1.0000e-03 eta: 7:12:45 time: 0.6438 data_time: 0.0363 memory: 24011 grad_norm: 4.7771 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7213 loss: 0.7213 2022/08/05 03:28:14 - mmengine - INFO - Epoch(train) [57][440/940] lr: 1.0000e-03 eta: 7:12:32 time: 0.6030 data_time: 0.0323 memory: 24011 grad_norm: 4.9401 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5602 loss: 0.5602 2022/08/05 03:28:27 - mmengine - INFO - Epoch(train) [57][460/940] lr: 1.0000e-03 eta: 7:12:19 time: 0.6458 data_time: 0.0389 memory: 24011 grad_norm: 4.9319 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7087 loss: 0.7087 2022/08/05 03:28:39 - mmengine - INFO - Epoch(train) [57][480/940] lr: 1.0000e-03 eta: 7:12:07 time: 0.6306 data_time: 0.0295 memory: 24011 grad_norm: 5.1198 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6916 loss: 0.6916 2022/08/05 03:28:52 - mmengine - INFO - Epoch(train) [57][500/940] lr: 1.0000e-03 eta: 7:11:54 time: 0.6374 data_time: 0.0316 memory: 24011 grad_norm: 4.7731 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6079 loss: 0.6079 2022/08/05 03:29:04 - mmengine - INFO - Epoch(train) [57][520/940] lr: 1.0000e-03 eta: 7:11:41 time: 0.6166 data_time: 0.0337 memory: 24011 grad_norm: 4.8796 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6058 loss: 0.6058 2022/08/05 03:29:16 - mmengine - INFO - Epoch(train) [57][540/940] lr: 1.0000e-03 eta: 7:11:28 time: 0.6108 data_time: 0.0322 memory: 24011 grad_norm: 4.8390 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6811 loss: 0.6811 2022/08/05 03:29:28 - mmengine - INFO - Epoch(train) [57][560/940] lr: 1.0000e-03 eta: 7:11:15 time: 0.5954 data_time: 0.0356 memory: 24011 grad_norm: 4.8715 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7186 loss: 0.7186 2022/08/05 03:29:41 - mmengine - INFO - Epoch(train) [57][580/940] lr: 1.0000e-03 eta: 7:11:02 time: 0.6182 data_time: 0.0546 memory: 24011 grad_norm: 4.8148 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7352 loss: 0.7352 2022/08/05 03:29:53 - mmengine - INFO - Epoch(train) [57][600/940] lr: 1.0000e-03 eta: 7:10:49 time: 0.6198 data_time: 0.0319 memory: 24011 grad_norm: 4.8474 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6055 loss: 0.6055 2022/08/05 03:30:05 - mmengine - INFO - Epoch(train) [57][620/940] lr: 1.0000e-03 eta: 7:10:36 time: 0.5984 data_time: 0.0362 memory: 24011 grad_norm: 5.1607 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7019 loss: 0.7019 2022/08/05 03:30:18 - mmengine - INFO - Epoch(train) [57][640/940] lr: 1.0000e-03 eta: 7:10:23 time: 0.6393 data_time: 0.0372 memory: 24011 grad_norm: 4.9803 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6654 loss: 0.6654 2022/08/05 03:30:31 - mmengine - INFO - Epoch(train) [57][660/940] lr: 1.0000e-03 eta: 7:10:11 time: 0.6566 data_time: 0.0344 memory: 24011 grad_norm: 5.0651 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6522 loss: 0.6522 2022/08/05 03:30:43 - mmengine - INFO - Epoch(train) [57][680/940] lr: 1.0000e-03 eta: 7:09:58 time: 0.5994 data_time: 0.0333 memory: 24011 grad_norm: 4.8904 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7223 loss: 0.7223 2022/08/05 03:30:56 - mmengine - INFO - Epoch(train) [57][700/940] lr: 1.0000e-03 eta: 7:09:45 time: 0.6224 data_time: 0.0385 memory: 24011 grad_norm: 4.9216 top1_acc: 0.6562 top5_acc: 0.9688 loss_cls: 0.7255 loss: 0.7255 2022/08/05 03:31:07 - mmengine - INFO - Epoch(train) [57][720/940] lr: 1.0000e-03 eta: 7:09:31 time: 0.5946 data_time: 0.0391 memory: 24011 grad_norm: 4.6832 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7205 loss: 0.7205 2022/08/05 03:31:20 - mmengine - INFO - Epoch(train) [57][740/940] lr: 1.0000e-03 eta: 7:09:18 time: 0.6125 data_time: 0.0375 memory: 24011 grad_norm: 4.8297 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5566 loss: 0.5566 2022/08/05 03:31:32 - mmengine - INFO - Epoch(train) [57][760/940] lr: 1.0000e-03 eta: 7:09:06 time: 0.6253 data_time: 0.0525 memory: 24011 grad_norm: 5.0928 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6651 loss: 0.6651 2022/08/05 03:31:45 - mmengine - INFO - Epoch(train) [57][780/940] lr: 1.0000e-03 eta: 7:08:53 time: 0.6304 data_time: 0.0496 memory: 24011 grad_norm: 5.0439 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6717 loss: 0.6717 2022/08/05 03:31:57 - mmengine - INFO - Epoch(train) [57][800/940] lr: 1.0000e-03 eta: 7:08:40 time: 0.6296 data_time: 0.0782 memory: 24011 grad_norm: 5.4471 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6608 loss: 0.6608 2022/08/05 03:32:10 - mmengine - INFO - Epoch(train) [57][820/940] lr: 1.0000e-03 eta: 7:08:27 time: 0.6370 data_time: 0.0653 memory: 24011 grad_norm: 4.7832 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6479 loss: 0.6479 2022/08/05 03:32:23 - mmengine - INFO - Epoch(train) [57][840/940] lr: 1.0000e-03 eta: 7:08:15 time: 0.6292 data_time: 0.0817 memory: 24011 grad_norm: 5.0300 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6842 loss: 0.6842 2022/08/05 03:32:36 - mmengine - INFO - Epoch(train) [57][860/940] lr: 1.0000e-03 eta: 7:08:02 time: 0.6595 data_time: 0.0709 memory: 24011 grad_norm: 4.8307 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6372 loss: 0.6372 2022/08/05 03:32:48 - mmengine - INFO - Epoch(train) [57][880/940] lr: 1.0000e-03 eta: 7:07:49 time: 0.5880 data_time: 0.0460 memory: 24011 grad_norm: 5.3381 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6922 loss: 0.6922 2022/08/05 03:33:00 - mmengine - INFO - Epoch(train) [57][900/940] lr: 1.0000e-03 eta: 7:07:36 time: 0.6073 data_time: 0.0403 memory: 24011 grad_norm: 5.1227 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6577 loss: 0.6577 2022/08/05 03:33:12 - mmengine - INFO - Epoch(train) [57][920/940] lr: 1.0000e-03 eta: 7:07:23 time: 0.5998 data_time: 0.0417 memory: 24011 grad_norm: 6.1173 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7247 loss: 0.7247 2022/08/05 03:33:23 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:33:23 - mmengine - INFO - Epoch(train) [57][940/940] lr: 1.0000e-03 eta: 7:07:09 time: 0.5787 data_time: 0.0464 memory: 24011 grad_norm: 5.4535 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.7075 loss: 0.7075 2022/08/05 03:33:23 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/08/05 03:33:43 - mmengine - INFO - Epoch(val) [57][20/78] eta: 0:00:39 time: 0.6753 data_time: 0.5053 memory: 3625 2022/08/05 03:33:52 - mmengine - INFO - Epoch(val) [57][40/78] eta: 0:00:17 time: 0.4516 data_time: 0.2994 memory: 3625 2022/08/05 03:34:03 - mmengine - INFO - Epoch(val) [57][60/78] eta: 0:00:10 time: 0.5933 data_time: 0.4396 memory: 3625 2022/08/05 03:34:13 - mmengine - INFO - Epoch(val) [57][78/78] acc/top1: 0.7388 acc/top5: 0.9082 acc/mean1: 0.7386 2022/08/05 03:34:31 - mmengine - INFO - Epoch(train) [58][20/940] lr: 1.0000e-03 eta: 7:07:01 time: 0.8967 data_time: 0.2955 memory: 24011 grad_norm: 4.9502 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5821 loss: 0.5821 2022/08/05 03:34:43 - mmengine - INFO - Epoch(train) [58][40/940] lr: 1.0000e-03 eta: 7:06:47 time: 0.6049 data_time: 0.0262 memory: 24011 grad_norm: 5.1999 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5726 loss: 0.5726 2022/08/05 03:34:55 - mmengine - INFO - Epoch(train) [58][60/940] lr: 1.0000e-03 eta: 7:06:35 time: 0.6261 data_time: 0.0481 memory: 24011 grad_norm: 5.1928 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6607 loss: 0.6607 2022/08/05 03:35:07 - mmengine - INFO - Epoch(train) [58][80/940] lr: 1.0000e-03 eta: 7:06:21 time: 0.6064 data_time: 0.0403 memory: 24011 grad_norm: 4.8309 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7393 loss: 0.7393 2022/08/05 03:35:20 - mmengine - INFO - Epoch(train) [58][100/940] lr: 1.0000e-03 eta: 7:06:09 time: 0.6521 data_time: 0.0658 memory: 24011 grad_norm: 4.5914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6080 loss: 0.6080 2022/08/05 03:35:32 - mmengine - INFO - Epoch(train) [58][120/940] lr: 1.0000e-03 eta: 7:05:56 time: 0.6019 data_time: 0.0275 memory: 24011 grad_norm: 4.7977 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6118 loss: 0.6118 2022/08/05 03:35:45 - mmengine - INFO - Epoch(train) [58][140/940] lr: 1.0000e-03 eta: 7:05:43 time: 0.6453 data_time: 0.0304 memory: 24011 grad_norm: 4.9081 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7746 loss: 0.7746 2022/08/05 03:35:58 - mmengine - INFO - Epoch(train) [58][160/940] lr: 1.0000e-03 eta: 7:05:30 time: 0.6195 data_time: 0.0311 memory: 24011 grad_norm: 5.1869 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6272 loss: 0.6272 2022/08/05 03:36:11 - mmengine - INFO - Epoch(train) [58][180/940] lr: 1.0000e-03 eta: 7:05:18 time: 0.6784 data_time: 0.0326 memory: 24011 grad_norm: 4.9740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5849 loss: 0.5849 2022/08/05 03:36:24 - mmengine - INFO - Epoch(train) [58][200/940] lr: 1.0000e-03 eta: 7:05:06 time: 0.6170 data_time: 0.0476 memory: 24011 grad_norm: 6.3167 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5928 loss: 0.5928 2022/08/05 03:36:37 - mmengine - INFO - Epoch(train) [58][220/940] lr: 1.0000e-03 eta: 7:04:53 time: 0.6620 data_time: 0.0369 memory: 24011 grad_norm: 4.7271 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6131 loss: 0.6131 2022/08/05 03:36:50 - mmengine - INFO - Epoch(train) [58][240/940] lr: 1.0000e-03 eta: 7:04:41 time: 0.6371 data_time: 0.0383 memory: 24011 grad_norm: 5.0245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6635 loss: 0.6635 2022/08/05 03:37:03 - mmengine - INFO - Epoch(train) [58][260/940] lr: 1.0000e-03 eta: 7:04:28 time: 0.6485 data_time: 0.0374 memory: 24011 grad_norm: 5.1665 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7129 loss: 0.7129 2022/08/05 03:37:15 - mmengine - INFO - Epoch(train) [58][280/940] lr: 1.0000e-03 eta: 7:04:15 time: 0.6168 data_time: 0.0326 memory: 24011 grad_norm: 4.9357 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7140 loss: 0.7140 2022/08/05 03:37:28 - mmengine - INFO - Epoch(train) [58][300/940] lr: 1.0000e-03 eta: 7:04:03 time: 0.6578 data_time: 0.0365 memory: 24011 grad_norm: 5.1824 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6132 loss: 0.6132 2022/08/05 03:37:40 - mmengine - INFO - Epoch(train) [58][320/940] lr: 1.0000e-03 eta: 7:03:49 time: 0.5784 data_time: 0.0375 memory: 24011 grad_norm: 5.2354 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6287 loss: 0.6287 2022/08/05 03:37:52 - mmengine - INFO - Epoch(train) [58][340/940] lr: 1.0000e-03 eta: 7:03:36 time: 0.5945 data_time: 0.0490 memory: 24011 grad_norm: 5.2310 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6391 loss: 0.6391 2022/08/05 03:38:03 - mmengine - INFO - Epoch(train) [58][360/940] lr: 1.0000e-03 eta: 7:03:23 time: 0.5777 data_time: 0.0322 memory: 24011 grad_norm: 5.0929 top1_acc: 0.7188 top5_acc: 1.0000 loss_cls: 0.6728 loss: 0.6728 2022/08/05 03:38:16 - mmengine - INFO - Epoch(train) [58][380/940] lr: 1.0000e-03 eta: 7:03:10 time: 0.6522 data_time: 0.0390 memory: 24011 grad_norm: 5.1749 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7035 loss: 0.7035 2022/08/05 03:38:29 - mmengine - INFO - Epoch(train) [58][400/940] lr: 1.0000e-03 eta: 7:02:57 time: 0.6312 data_time: 0.0333 memory: 24011 grad_norm: 4.7102 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6539 loss: 0.6539 2022/08/05 03:38:41 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:38:41 - mmengine - INFO - Epoch(train) [58][420/940] lr: 1.0000e-03 eta: 7:02:44 time: 0.6173 data_time: 0.0328 memory: 24011 grad_norm: 4.8428 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5465 loss: 0.5465 2022/08/05 03:38:53 - mmengine - INFO - Epoch(train) [58][440/940] lr: 1.0000e-03 eta: 7:02:31 time: 0.6096 data_time: 0.0352 memory: 24011 grad_norm: 5.0163 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5883 loss: 0.5883 2022/08/05 03:39:06 - mmengine - INFO - Epoch(train) [58][460/940] lr: 1.0000e-03 eta: 7:02:19 time: 0.6325 data_time: 0.0381 memory: 24011 grad_norm: 5.1535 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6715 loss: 0.6715 2022/08/05 03:39:19 - mmengine - INFO - Epoch(train) [58][480/940] lr: 1.0000e-03 eta: 7:02:06 time: 0.6282 data_time: 0.0430 memory: 24011 grad_norm: 4.9474 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.6234 loss: 0.6234 2022/08/05 03:39:31 - mmengine - INFO - Epoch(train) [58][500/940] lr: 1.0000e-03 eta: 7:01:53 time: 0.6288 data_time: 0.0319 memory: 24011 grad_norm: 5.1355 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6513 loss: 0.6513 2022/08/05 03:39:44 - mmengine - INFO - Epoch(train) [58][520/940] lr: 1.0000e-03 eta: 7:01:41 time: 0.6513 data_time: 0.0347 memory: 24011 grad_norm: 4.9903 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6682 loss: 0.6682 2022/08/05 03:39:57 - mmengine - INFO - Epoch(train) [58][540/940] lr: 1.0000e-03 eta: 7:01:28 time: 0.6426 data_time: 0.0298 memory: 24011 grad_norm: 4.8671 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7253 loss: 0.7253 2022/08/05 03:40:10 - mmengine - INFO - Epoch(train) [58][560/940] lr: 1.0000e-03 eta: 7:01:15 time: 0.6290 data_time: 0.0329 memory: 24011 grad_norm: 4.8136 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6254 loss: 0.6254 2022/08/05 03:40:24 - mmengine - INFO - Epoch(train) [58][580/940] lr: 1.0000e-03 eta: 7:01:04 time: 0.6922 data_time: 0.0307 memory: 24011 grad_norm: 5.1879 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.7106 loss: 0.7106 2022/08/05 03:40:36 - mmengine - INFO - Epoch(train) [58][600/940] lr: 1.0000e-03 eta: 7:00:50 time: 0.6003 data_time: 0.0345 memory: 24011 grad_norm: 5.0472 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7525 loss: 0.7525 2022/08/05 03:40:47 - mmengine - INFO - Epoch(train) [58][620/940] lr: 1.0000e-03 eta: 7:00:37 time: 0.5789 data_time: 0.0393 memory: 24011 grad_norm: 5.5177 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7608 loss: 0.7608 2022/08/05 03:41:00 - mmengine - INFO - Epoch(train) [58][640/940] lr: 1.0000e-03 eta: 7:00:24 time: 0.6412 data_time: 0.0410 memory: 24011 grad_norm: 4.8458 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.5915 loss: 0.5915 2022/08/05 03:41:12 - mmengine - INFO - Epoch(train) [58][660/940] lr: 1.0000e-03 eta: 7:00:11 time: 0.6177 data_time: 0.0393 memory: 24011 grad_norm: 5.8536 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.6564 loss: 0.6564 2022/08/05 03:41:25 - mmengine - INFO - Epoch(train) [58][680/940] lr: 1.0000e-03 eta: 6:59:59 time: 0.6344 data_time: 0.0366 memory: 24011 grad_norm: 4.8896 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6889 loss: 0.6889 2022/08/05 03:41:38 - mmengine - INFO - Epoch(train) [58][700/940] lr: 1.0000e-03 eta: 6:59:46 time: 0.6319 data_time: 0.0357 memory: 24011 grad_norm: 5.4236 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6576 loss: 0.6576 2022/08/05 03:41:50 - mmengine - INFO - Epoch(train) [58][720/940] lr: 1.0000e-03 eta: 6:59:33 time: 0.6253 data_time: 0.0408 memory: 24011 grad_norm: 4.6896 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6840 loss: 0.6840 2022/08/05 03:42:02 - mmengine - INFO - Epoch(train) [58][740/940] lr: 1.0000e-03 eta: 6:59:20 time: 0.6056 data_time: 0.0330 memory: 24011 grad_norm: 5.6448 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6576 loss: 0.6576 2022/08/05 03:42:15 - mmengine - INFO - Epoch(train) [58][760/940] lr: 1.0000e-03 eta: 6:59:07 time: 0.6211 data_time: 0.0359 memory: 24011 grad_norm: 4.8662 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6705 loss: 0.6705 2022/08/05 03:42:27 - mmengine - INFO - Epoch(train) [58][780/940] lr: 1.0000e-03 eta: 6:58:54 time: 0.6128 data_time: 0.0324 memory: 24011 grad_norm: 6.8130 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6268 loss: 0.6268 2022/08/05 03:42:40 - mmengine - INFO - Epoch(train) [58][800/940] lr: 1.0000e-03 eta: 6:58:42 time: 0.6524 data_time: 0.0706 memory: 24011 grad_norm: 5.0296 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6878 loss: 0.6878 2022/08/05 03:42:52 - mmengine - INFO - Epoch(train) [58][820/940] lr: 1.0000e-03 eta: 6:58:29 time: 0.6124 data_time: 0.0357 memory: 24011 grad_norm: 4.9028 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6466 loss: 0.6466 2022/08/05 03:43:05 - mmengine - INFO - Epoch(train) [58][840/940] lr: 1.0000e-03 eta: 6:58:16 time: 0.6165 data_time: 0.0388 memory: 24011 grad_norm: 4.4852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5495 loss: 0.5495 2022/08/05 03:43:17 - mmengine - INFO - Epoch(train) [58][860/940] lr: 1.0000e-03 eta: 6:58:03 time: 0.6271 data_time: 0.0525 memory: 24011 grad_norm: 4.9805 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5958 loss: 0.5958 2022/08/05 03:43:30 - mmengine - INFO - Epoch(train) [58][880/940] lr: 1.0000e-03 eta: 6:57:51 time: 0.6428 data_time: 0.0425 memory: 24011 grad_norm: 4.8660 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6370 loss: 0.6370 2022/08/05 03:43:42 - mmengine - INFO - Epoch(train) [58][900/940] lr: 1.0000e-03 eta: 6:57:37 time: 0.5941 data_time: 0.0396 memory: 24011 grad_norm: 5.1052 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6333 loss: 0.6333 2022/08/05 03:43:54 - mmengine - INFO - Epoch(train) [58][920/940] lr: 1.0000e-03 eta: 6:57:24 time: 0.5957 data_time: 0.0328 memory: 24011 grad_norm: 5.5942 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6814 loss: 0.6814 2022/08/05 03:44:05 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:44:05 - mmengine - INFO - Epoch(train) [58][940/940] lr: 1.0000e-03 eta: 6:57:10 time: 0.5355 data_time: 0.0265 memory: 24011 grad_norm: 5.4874 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6408 loss: 0.6408 2022/08/05 03:44:18 - mmengine - INFO - Epoch(val) [58][20/78] eta: 0:00:39 time: 0.6741 data_time: 0.5205 memory: 3625 2022/08/05 03:44:27 - mmengine - INFO - Epoch(val) [58][40/78] eta: 0:00:16 time: 0.4329 data_time: 0.2816 memory: 3625 2022/08/05 03:44:39 - mmengine - INFO - Epoch(val) [58][60/78] eta: 0:00:11 time: 0.6203 data_time: 0.4665 memory: 3625 2022/08/05 03:44:50 - mmengine - INFO - Epoch(val) [58][78/78] acc/top1: 0.7387 acc/top5: 0.9079 acc/mean1: 0.7386 2022/08/05 03:45:08 - mmengine - INFO - Epoch(train) [59][20/940] lr: 1.0000e-03 eta: 6:57:01 time: 0.8888 data_time: 0.3330 memory: 24011 grad_norm: 5.2148 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6696 loss: 0.6696 2022/08/05 03:45:20 - mmengine - INFO - Epoch(train) [59][40/940] lr: 1.0000e-03 eta: 6:56:48 time: 0.6178 data_time: 0.0356 memory: 24011 grad_norm: 4.7321 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5883 loss: 0.5883 2022/08/05 03:45:33 - mmengine - INFO - Epoch(train) [59][60/940] lr: 1.0000e-03 eta: 6:56:36 time: 0.6762 data_time: 0.1176 memory: 24011 grad_norm: 4.7672 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6180 loss: 0.6180 2022/08/05 03:45:45 - mmengine - INFO - Epoch(train) [59][80/940] lr: 1.0000e-03 eta: 6:56:23 time: 0.6013 data_time: 0.0573 memory: 24011 grad_norm: 5.3655 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6903 loss: 0.6903 2022/08/05 03:45:58 - mmengine - INFO - Epoch(train) [59][100/940] lr: 1.0000e-03 eta: 6:56:10 time: 0.6453 data_time: 0.0813 memory: 24011 grad_norm: 5.0848 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6663 loss: 0.6663 2022/08/05 03:46:11 - mmengine - INFO - Epoch(train) [59][120/940] lr: 1.0000e-03 eta: 6:55:58 time: 0.6465 data_time: 0.0795 memory: 24011 grad_norm: 5.3086 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6305 loss: 0.6305 2022/08/05 03:46:23 - mmengine - INFO - Epoch(train) [59][140/940] lr: 1.0000e-03 eta: 6:55:45 time: 0.6134 data_time: 0.0436 memory: 24011 grad_norm: 4.9547 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8291 loss: 0.8291 2022/08/05 03:46:36 - mmengine - INFO - Epoch(train) [59][160/940] lr: 1.0000e-03 eta: 6:55:32 time: 0.6236 data_time: 0.0329 memory: 24011 grad_norm: 4.9994 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6413 loss: 0.6413 2022/08/05 03:46:48 - mmengine - INFO - Epoch(train) [59][180/940] lr: 1.0000e-03 eta: 6:55:19 time: 0.6263 data_time: 0.0376 memory: 24011 grad_norm: 5.3840 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6225 loss: 0.6225 2022/08/05 03:47:01 - mmengine - INFO - Epoch(train) [59][200/940] lr: 1.0000e-03 eta: 6:55:06 time: 0.6040 data_time: 0.0298 memory: 24011 grad_norm: 5.0227 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6272 loss: 0.6272 2022/08/05 03:47:14 - mmengine - INFO - Epoch(train) [59][220/940] lr: 1.0000e-03 eta: 6:54:54 time: 0.6559 data_time: 0.0803 memory: 24011 grad_norm: 5.0653 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6024 loss: 0.6024 2022/08/05 03:47:26 - mmengine - INFO - Epoch(train) [59][240/940] lr: 1.0000e-03 eta: 6:54:41 time: 0.6003 data_time: 0.0370 memory: 24011 grad_norm: 4.9027 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6430 loss: 0.6430 2022/08/05 03:47:38 - mmengine - INFO - Epoch(train) [59][260/940] lr: 1.0000e-03 eta: 6:54:28 time: 0.6109 data_time: 0.0318 memory: 24011 grad_norm: 4.7474 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6949 loss: 0.6949 2022/08/05 03:47:50 - mmengine - INFO - Epoch(train) [59][280/940] lr: 1.0000e-03 eta: 6:54:15 time: 0.6105 data_time: 0.0339 memory: 24011 grad_norm: 4.9949 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5892 loss: 0.5892 2022/08/05 03:48:03 - mmengine - INFO - Epoch(train) [59][300/940] lr: 1.0000e-03 eta: 6:54:02 time: 0.6346 data_time: 0.0606 memory: 24011 grad_norm: 5.2642 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7227 loss: 0.7227 2022/08/05 03:48:16 - mmengine - INFO - Epoch(train) [59][320/940] lr: 1.0000e-03 eta: 6:53:49 time: 0.6330 data_time: 0.0539 memory: 24011 grad_norm: 4.8618 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6187 loss: 0.6187 2022/08/05 03:48:28 - mmengine - INFO - Epoch(train) [59][340/940] lr: 1.0000e-03 eta: 6:53:36 time: 0.6162 data_time: 0.0552 memory: 24011 grad_norm: 4.7459 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5610 loss: 0.5610 2022/08/05 03:48:41 - mmengine - INFO - Epoch(train) [59][360/940] lr: 1.0000e-03 eta: 6:53:24 time: 0.6436 data_time: 0.0331 memory: 24011 grad_norm: 4.7886 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6482 loss: 0.6482 2022/08/05 03:48:53 - mmengine - INFO - Epoch(train) [59][380/940] lr: 1.0000e-03 eta: 6:53:11 time: 0.6181 data_time: 0.0342 memory: 24011 grad_norm: 4.7425 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6152 loss: 0.6152 2022/08/05 03:49:05 - mmengine - INFO - Epoch(train) [59][400/940] lr: 1.0000e-03 eta: 6:52:58 time: 0.5993 data_time: 0.0408 memory: 24011 grad_norm: 4.7631 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6537 loss: 0.6537 2022/08/05 03:49:17 - mmengine - INFO - Epoch(train) [59][420/940] lr: 1.0000e-03 eta: 6:52:44 time: 0.5964 data_time: 0.0362 memory: 24011 grad_norm: 5.7567 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6581 loss: 0.6581 2022/08/05 03:49:30 - mmengine - INFO - Epoch(train) [59][440/940] lr: 1.0000e-03 eta: 6:52:32 time: 0.6350 data_time: 0.0358 memory: 24011 grad_norm: 4.9444 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6715 loss: 0.6715 2022/08/05 03:49:42 - mmengine - INFO - Epoch(train) [59][460/940] lr: 1.0000e-03 eta: 6:52:19 time: 0.6181 data_time: 0.0337 memory: 24011 grad_norm: 5.0820 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6889 loss: 0.6889 2022/08/05 03:49:54 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:49:54 - mmengine - INFO - Epoch(train) [59][480/940] lr: 1.0000e-03 eta: 6:52:06 time: 0.6104 data_time: 0.0395 memory: 24011 grad_norm: 5.0168 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6705 loss: 0.6705 2022/08/05 03:50:07 - mmengine - INFO - Epoch(train) [59][500/940] lr: 1.0000e-03 eta: 6:51:53 time: 0.6298 data_time: 0.0342 memory: 24011 grad_norm: 4.9538 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7190 loss: 0.7190 2022/08/05 03:50:20 - mmengine - INFO - Epoch(train) [59][520/940] lr: 1.0000e-03 eta: 6:51:41 time: 0.6438 data_time: 0.0327 memory: 24011 grad_norm: 4.9119 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6873 loss: 0.6873 2022/08/05 03:50:33 - mmengine - INFO - Epoch(train) [59][540/940] lr: 1.0000e-03 eta: 6:51:28 time: 0.6306 data_time: 0.0299 memory: 24011 grad_norm: 4.8867 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6202 loss: 0.6202 2022/08/05 03:50:45 - mmengine - INFO - Epoch(train) [59][560/940] lr: 1.0000e-03 eta: 6:51:15 time: 0.6155 data_time: 0.0399 memory: 24011 grad_norm: 4.8384 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7094 loss: 0.7094 2022/08/05 03:50:57 - mmengine - INFO - Epoch(train) [59][580/940] lr: 1.0000e-03 eta: 6:51:02 time: 0.6061 data_time: 0.0330 memory: 24011 grad_norm: 4.9930 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6069 loss: 0.6069 2022/08/05 03:51:10 - mmengine - INFO - Epoch(train) [59][600/940] lr: 1.0000e-03 eta: 6:50:49 time: 0.6441 data_time: 0.0468 memory: 24011 grad_norm: 5.3615 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6103 loss: 0.6103 2022/08/05 03:51:23 - mmengine - INFO - Epoch(train) [59][620/940] lr: 1.0000e-03 eta: 6:50:37 time: 0.6437 data_time: 0.0421 memory: 24011 grad_norm: 4.8770 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6747 loss: 0.6747 2022/08/05 03:51:35 - mmengine - INFO - Epoch(train) [59][640/940] lr: 1.0000e-03 eta: 6:50:24 time: 0.6203 data_time: 0.0326 memory: 24011 grad_norm: 4.8631 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6628 loss: 0.6628 2022/08/05 03:51:48 - mmengine - INFO - Epoch(train) [59][660/940] lr: 1.0000e-03 eta: 6:50:11 time: 0.6417 data_time: 0.0334 memory: 24011 grad_norm: 5.0949 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6309 loss: 0.6309 2022/08/05 03:52:00 - mmengine - INFO - Epoch(train) [59][680/940] lr: 1.0000e-03 eta: 6:49:58 time: 0.6065 data_time: 0.0353 memory: 24011 grad_norm: 4.8736 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6643 loss: 0.6643 2022/08/05 03:52:13 - mmengine - INFO - Epoch(train) [59][700/940] lr: 1.0000e-03 eta: 6:49:46 time: 0.6689 data_time: 0.0330 memory: 24011 grad_norm: 4.8909 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.7439 loss: 0.7439 2022/08/05 03:52:26 - mmengine - INFO - Epoch(train) [59][720/940] lr: 1.0000e-03 eta: 6:49:33 time: 0.6126 data_time: 0.0378 memory: 24011 grad_norm: 5.0352 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7030 loss: 0.7030 2022/08/05 03:52:37 - mmengine - INFO - Epoch(train) [59][740/940] lr: 1.0000e-03 eta: 6:49:20 time: 0.5890 data_time: 0.0380 memory: 24011 grad_norm: 5.1788 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6719 loss: 0.6719 2022/08/05 03:52:50 - mmengine - INFO - Epoch(train) [59][760/940] lr: 1.0000e-03 eta: 6:49:07 time: 0.6110 data_time: 0.0340 memory: 24011 grad_norm: 4.8468 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6457 loss: 0.6457 2022/08/05 03:53:02 - mmengine - INFO - Epoch(train) [59][780/940] lr: 1.0000e-03 eta: 6:48:54 time: 0.6157 data_time: 0.0546 memory: 24011 grad_norm: 5.0775 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6653 loss: 0.6653 2022/08/05 03:53:14 - mmengine - INFO - Epoch(train) [59][800/940] lr: 1.0000e-03 eta: 6:48:41 time: 0.5996 data_time: 0.0376 memory: 24011 grad_norm: 4.7812 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6461 loss: 0.6461 2022/08/05 03:53:27 - mmengine - INFO - Epoch(train) [59][820/940] lr: 1.0000e-03 eta: 6:48:28 time: 0.6511 data_time: 0.0349 memory: 24011 grad_norm: 4.8064 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6935 loss: 0.6935 2022/08/05 03:53:39 - mmengine - INFO - Epoch(train) [59][840/940] lr: 1.0000e-03 eta: 6:48:15 time: 0.5963 data_time: 0.0308 memory: 24011 grad_norm: 5.7164 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5723 loss: 0.5723 2022/08/05 03:53:51 - mmengine - INFO - Epoch(train) [59][860/940] lr: 1.0000e-03 eta: 6:48:02 time: 0.6203 data_time: 0.0397 memory: 24011 grad_norm: 4.9119 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7277 loss: 0.7277 2022/08/05 03:54:03 - mmengine - INFO - Epoch(train) [59][880/940] lr: 1.0000e-03 eta: 6:47:49 time: 0.6015 data_time: 0.0351 memory: 24011 grad_norm: 4.9703 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5824 loss: 0.5824 2022/08/05 03:54:17 - mmengine - INFO - Epoch(train) [59][900/940] lr: 1.0000e-03 eta: 6:47:37 time: 0.6737 data_time: 0.0360 memory: 24011 grad_norm: 5.1228 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6718 loss: 0.6718 2022/08/05 03:54:29 - mmengine - INFO - Epoch(train) [59][920/940] lr: 1.0000e-03 eta: 6:47:24 time: 0.6209 data_time: 0.0426 memory: 24011 grad_norm: 4.7683 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6690 loss: 0.6690 2022/08/05 03:54:40 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 03:54:40 - mmengine - INFO - Epoch(train) [59][940/940] lr: 1.0000e-03 eta: 6:47:10 time: 0.5297 data_time: 0.0274 memory: 24011 grad_norm: 5.1119 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6387 loss: 0.6387 2022/08/05 03:54:53 - mmengine - INFO - Epoch(val) [59][20/78] eta: 0:00:38 time: 0.6630 data_time: 0.5079 memory: 3625 2022/08/05 03:55:02 - mmengine - INFO - Epoch(val) [59][40/78] eta: 0:00:17 time: 0.4480 data_time: 0.2966 memory: 3625 2022/08/05 03:55:15 - mmengine - INFO - Epoch(val) [59][60/78] eta: 0:00:11 time: 0.6336 data_time: 0.4778 memory: 3625 2022/08/05 03:55:25 - mmengine - INFO - Epoch(val) [59][78/78] acc/top1: 0.7400 acc/top5: 0.9093 acc/mean1: 0.7399 2022/08/05 03:55:42 - mmengine - INFO - Epoch(train) [60][20/940] lr: 1.0000e-03 eta: 6:47:00 time: 0.8613 data_time: 0.2734 memory: 24011 grad_norm: 4.8359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6515 loss: 0.6515 2022/08/05 03:55:55 - mmengine - INFO - Epoch(train) [60][40/940] lr: 1.0000e-03 eta: 6:46:48 time: 0.6284 data_time: 0.0436 memory: 24011 grad_norm: 4.7378 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5869 loss: 0.5869 2022/08/05 03:56:07 - mmengine - INFO - Epoch(train) [60][60/940] lr: 1.0000e-03 eta: 6:46:35 time: 0.6210 data_time: 0.0335 memory: 24011 grad_norm: 4.9749 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6186 loss: 0.6186 2022/08/05 03:56:20 - mmengine - INFO - Epoch(train) [60][80/940] lr: 1.0000e-03 eta: 6:46:22 time: 0.6240 data_time: 0.0310 memory: 24011 grad_norm: 5.2543 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5983 loss: 0.5983 2022/08/05 03:56:33 - mmengine - INFO - Epoch(train) [60][100/940] lr: 1.0000e-03 eta: 6:46:10 time: 0.6534 data_time: 0.0597 memory: 24011 grad_norm: 4.9156 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6851 loss: 0.6851 2022/08/05 03:56:45 - mmengine - INFO - Epoch(train) [60][120/940] lr: 1.0000e-03 eta: 6:45:56 time: 0.5971 data_time: 0.0314 memory: 24011 grad_norm: 5.1856 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6603 loss: 0.6603 2022/08/05 03:56:58 - mmengine - INFO - Epoch(train) [60][140/940] lr: 1.0000e-03 eta: 6:45:44 time: 0.6839 data_time: 0.0342 memory: 24011 grad_norm: 5.5193 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7179 loss: 0.7179 2022/08/05 03:57:11 - mmengine - INFO - Epoch(train) [60][160/940] lr: 1.0000e-03 eta: 6:45:31 time: 0.6206 data_time: 0.0387 memory: 24011 grad_norm: 4.9313 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6392 loss: 0.6392 2022/08/05 03:57:23 - mmengine - INFO - Epoch(train) [60][180/940] lr: 1.0000e-03 eta: 6:45:18 time: 0.6018 data_time: 0.0390 memory: 24011 grad_norm: 5.2070 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5350 loss: 0.5350 2022/08/05 03:57:35 - mmengine - INFO - Epoch(train) [60][200/940] lr: 1.0000e-03 eta: 6:45:05 time: 0.5948 data_time: 0.0382 memory: 24011 grad_norm: 5.3349 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6910 loss: 0.6910 2022/08/05 03:57:47 - mmengine - INFO - Epoch(train) [60][220/940] lr: 1.0000e-03 eta: 6:44:52 time: 0.6221 data_time: 0.0350 memory: 24011 grad_norm: 4.7904 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6593 loss: 0.6593 2022/08/05 03:58:00 - mmengine - INFO - Epoch(train) [60][240/940] lr: 1.0000e-03 eta: 6:44:39 time: 0.6240 data_time: 0.0330 memory: 24011 grad_norm: 4.9514 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6890 loss: 0.6890 2022/08/05 03:58:13 - mmengine - INFO - Epoch(train) [60][260/940] lr: 1.0000e-03 eta: 6:44:27 time: 0.6517 data_time: 0.0358 memory: 24011 grad_norm: 4.6761 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5900 loss: 0.5900 2022/08/05 03:58:25 - mmengine - INFO - Epoch(train) [60][280/940] lr: 1.0000e-03 eta: 6:44:14 time: 0.6110 data_time: 0.0328 memory: 24011 grad_norm: 4.9130 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6400 loss: 0.6400 2022/08/05 03:58:38 - mmengine - INFO - Epoch(train) [60][300/940] lr: 1.0000e-03 eta: 6:44:02 time: 0.6454 data_time: 0.0367 memory: 24011 grad_norm: 4.7912 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6162 loss: 0.6162 2022/08/05 03:58:50 - mmengine - INFO - Epoch(train) [60][320/940] lr: 1.0000e-03 eta: 6:43:49 time: 0.6237 data_time: 0.0373 memory: 24011 grad_norm: 4.8428 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6050 loss: 0.6050 2022/08/05 03:59:03 - mmengine - INFO - Epoch(train) [60][340/940] lr: 1.0000e-03 eta: 6:43:36 time: 0.6184 data_time: 0.0362 memory: 24011 grad_norm: 5.1290 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5901 loss: 0.5901 2022/08/05 03:59:15 - mmengine - INFO - Epoch(train) [60][360/940] lr: 1.0000e-03 eta: 6:43:23 time: 0.5903 data_time: 0.0360 memory: 24011 grad_norm: 5.0302 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6986 loss: 0.6986 2022/08/05 03:59:27 - mmengine - INFO - Epoch(train) [60][380/940] lr: 1.0000e-03 eta: 6:43:10 time: 0.6295 data_time: 0.0378 memory: 24011 grad_norm: 4.7043 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6101 loss: 0.6101 2022/08/05 03:59:39 - mmengine - INFO - Epoch(train) [60][400/940] lr: 1.0000e-03 eta: 6:42:57 time: 0.6006 data_time: 0.0383 memory: 24011 grad_norm: 4.8997 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7548 loss: 0.7548 2022/08/05 03:59:52 - mmengine - INFO - Epoch(train) [60][420/940] lr: 1.0000e-03 eta: 6:42:44 time: 0.6368 data_time: 0.0361 memory: 24011 grad_norm: 6.2238 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7106 loss: 0.7106 2022/08/05 04:00:04 - mmengine - INFO - Epoch(train) [60][440/940] lr: 1.0000e-03 eta: 6:42:31 time: 0.6227 data_time: 0.0332 memory: 24011 grad_norm: 5.0769 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6688 loss: 0.6688 2022/08/05 04:00:18 - mmengine - INFO - Epoch(train) [60][460/940] lr: 1.0000e-03 eta: 6:42:19 time: 0.6955 data_time: 0.0504 memory: 24011 grad_norm: 4.9575 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.6644 loss: 0.6644 2022/08/05 04:00:30 - mmengine - INFO - Epoch(train) [60][480/940] lr: 1.0000e-03 eta: 6:42:06 time: 0.5926 data_time: 0.0377 memory: 24011 grad_norm: 6.0385 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7371 loss: 0.7371 2022/08/05 04:00:44 - mmengine - INFO - Epoch(train) [60][500/940] lr: 1.0000e-03 eta: 6:41:54 time: 0.6635 data_time: 0.0382 memory: 24011 grad_norm: 4.6523 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6789 loss: 0.6789 2022/08/05 04:00:56 - mmengine - INFO - Epoch(train) [60][520/940] lr: 1.0000e-03 eta: 6:41:41 time: 0.6016 data_time: 0.0423 memory: 24011 grad_norm: 4.9768 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6651 loss: 0.6651 2022/08/05 04:01:09 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:01:09 - mmengine - INFO - Epoch(train) [60][540/940] lr: 1.0000e-03 eta: 6:41:28 time: 0.6562 data_time: 0.0350 memory: 24011 grad_norm: 6.1684 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6210 loss: 0.6210 2022/08/05 04:01:21 - mmengine - INFO - Epoch(train) [60][560/940] lr: 1.0000e-03 eta: 6:41:15 time: 0.6159 data_time: 0.0390 memory: 24011 grad_norm: 5.3424 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6995 loss: 0.6995 2022/08/05 04:01:33 - mmengine - INFO - Epoch(train) [60][580/940] lr: 1.0000e-03 eta: 6:41:02 time: 0.6051 data_time: 0.0338 memory: 24011 grad_norm: 4.8346 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5819 loss: 0.5819 2022/08/05 04:01:45 - mmengine - INFO - Epoch(train) [60][600/940] lr: 1.0000e-03 eta: 6:40:49 time: 0.5944 data_time: 0.0441 memory: 24011 grad_norm: 5.1412 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6513 loss: 0.6513 2022/08/05 04:01:58 - mmengine - INFO - Epoch(train) [60][620/940] lr: 1.0000e-03 eta: 6:40:36 time: 0.6316 data_time: 0.0370 memory: 24011 grad_norm: 5.0329 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7250 loss: 0.7250 2022/08/05 04:02:10 - mmengine - INFO - Epoch(train) [60][640/940] lr: 1.0000e-03 eta: 6:40:24 time: 0.6342 data_time: 0.0359 memory: 24011 grad_norm: 5.0016 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6125 loss: 0.6125 2022/08/05 04:02:23 - mmengine - INFO - Epoch(train) [60][660/940] lr: 1.0000e-03 eta: 6:40:11 time: 0.6331 data_time: 0.0330 memory: 24011 grad_norm: 4.8313 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7234 loss: 0.7234 2022/08/05 04:02:35 - mmengine - INFO - Epoch(train) [60][680/940] lr: 1.0000e-03 eta: 6:39:58 time: 0.6027 data_time: 0.0371 memory: 24011 grad_norm: 5.4431 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6581 loss: 0.6581 2022/08/05 04:02:48 - mmengine - INFO - Epoch(train) [60][700/940] lr: 1.0000e-03 eta: 6:39:45 time: 0.6342 data_time: 0.0317 memory: 24011 grad_norm: 5.5783 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7162 loss: 0.7162 2022/08/05 04:03:00 - mmengine - INFO - Epoch(train) [60][720/940] lr: 1.0000e-03 eta: 6:39:32 time: 0.5942 data_time: 0.0382 memory: 24011 grad_norm: 5.0453 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7531 loss: 0.7531 2022/08/05 04:03:13 - mmengine - INFO - Epoch(train) [60][740/940] lr: 1.0000e-03 eta: 6:39:20 time: 0.6773 data_time: 0.0351 memory: 24011 grad_norm: 4.7435 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7026 loss: 0.7026 2022/08/05 04:03:25 - mmengine - INFO - Epoch(train) [60][760/940] lr: 1.0000e-03 eta: 6:39:07 time: 0.5911 data_time: 0.0395 memory: 24011 grad_norm: 5.2095 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6901 loss: 0.6901 2022/08/05 04:03:38 - mmengine - INFO - Epoch(train) [60][780/940] lr: 1.0000e-03 eta: 6:38:54 time: 0.6460 data_time: 0.0330 memory: 24011 grad_norm: 4.7657 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6048 loss: 0.6048 2022/08/05 04:03:51 - mmengine - INFO - Epoch(train) [60][800/940] lr: 1.0000e-03 eta: 6:38:42 time: 0.6421 data_time: 0.0340 memory: 24011 grad_norm: 5.5207 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6149 loss: 0.6149 2022/08/05 04:04:03 - mmengine - INFO - Epoch(train) [60][820/940] lr: 1.0000e-03 eta: 6:38:28 time: 0.5973 data_time: 0.0347 memory: 24011 grad_norm: 4.9148 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6583 loss: 0.6583 2022/08/05 04:04:16 - mmengine - INFO - Epoch(train) [60][840/940] lr: 1.0000e-03 eta: 6:38:16 time: 0.6537 data_time: 0.0506 memory: 24011 grad_norm: 5.2403 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6456 loss: 0.6456 2022/08/05 04:04:28 - mmengine - INFO - Epoch(train) [60][860/940] lr: 1.0000e-03 eta: 6:38:03 time: 0.6112 data_time: 0.0362 memory: 24011 grad_norm: 5.1220 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6549 loss: 0.6549 2022/08/05 04:04:40 - mmengine - INFO - Epoch(train) [60][880/940] lr: 1.0000e-03 eta: 6:37:50 time: 0.6022 data_time: 0.0544 memory: 24011 grad_norm: 4.9073 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6369 loss: 0.6369 2022/08/05 04:04:52 - mmengine - INFO - Epoch(train) [60][900/940] lr: 1.0000e-03 eta: 6:37:37 time: 0.6040 data_time: 0.0382 memory: 24011 grad_norm: 4.8021 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6002 loss: 0.6002 2022/08/05 04:05:04 - mmengine - INFO - Epoch(train) [60][920/940] lr: 1.0000e-03 eta: 6:37:24 time: 0.5951 data_time: 0.0402 memory: 24011 grad_norm: 5.6623 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6688 loss: 0.6688 2022/08/05 04:05:15 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:05:15 - mmengine - INFO - Epoch(train) [60][940/940] lr: 1.0000e-03 eta: 6:37:10 time: 0.5418 data_time: 0.0276 memory: 24011 grad_norm: 5.5332 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6758 loss: 0.6758 2022/08/05 04:05:15 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/05 04:05:33 - mmengine - INFO - Epoch(val) [60][20/78] eta: 0:00:39 time: 0.6746 data_time: 0.5205 memory: 3625 2022/08/05 04:05:42 - mmengine - INFO - Epoch(val) [60][40/78] eta: 0:00:16 time: 0.4362 data_time: 0.2832 memory: 3625 2022/08/05 04:05:54 - mmengine - INFO - Epoch(val) [60][60/78] eta: 0:00:10 time: 0.6029 data_time: 0.4508 memory: 3625 2022/08/05 04:06:04 - mmengine - INFO - Epoch(val) [60][78/78] acc/top1: 0.7390 acc/top5: 0.9090 acc/mean1: 0.7389 2022/08/05 04:06:23 - mmengine - INFO - Epoch(train) [61][20/940] lr: 1.0000e-03 eta: 6:37:01 time: 0.9371 data_time: 0.2666 memory: 24011 grad_norm: 5.0951 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6464 loss: 0.6464 2022/08/05 04:06:35 - mmengine - INFO - Epoch(train) [61][40/940] lr: 1.0000e-03 eta: 6:36:48 time: 0.6008 data_time: 0.0272 memory: 24011 grad_norm: 5.2628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6227 loss: 0.6227 2022/08/05 04:06:47 - mmengine - INFO - Epoch(train) [61][60/940] lr: 1.0000e-03 eta: 6:36:35 time: 0.5969 data_time: 0.0385 memory: 24011 grad_norm: 6.2697 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6332 loss: 0.6332 2022/08/05 04:06:59 - mmengine - INFO - Epoch(train) [61][80/940] lr: 1.0000e-03 eta: 6:36:22 time: 0.6019 data_time: 0.0297 memory: 24011 grad_norm: 5.0260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6345 loss: 0.6345 2022/08/05 04:07:11 - mmengine - INFO - Epoch(train) [61][100/940] lr: 1.0000e-03 eta: 6:36:09 time: 0.6381 data_time: 0.0462 memory: 24011 grad_norm: 5.1662 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7040 loss: 0.7040 2022/08/05 04:07:23 - mmengine - INFO - Epoch(train) [61][120/940] lr: 1.0000e-03 eta: 6:35:56 time: 0.5968 data_time: 0.0307 memory: 24011 grad_norm: 4.8443 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6110 loss: 0.6110 2022/08/05 04:07:37 - mmengine - INFO - Epoch(train) [61][140/940] lr: 1.0000e-03 eta: 6:35:44 time: 0.6633 data_time: 0.0337 memory: 24011 grad_norm: 5.1437 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6090 loss: 0.6090 2022/08/05 04:07:49 - mmengine - INFO - Epoch(train) [61][160/940] lr: 1.0000e-03 eta: 6:35:31 time: 0.6050 data_time: 0.0330 memory: 24011 grad_norm: 4.9551 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6454 loss: 0.6454 2022/08/05 04:08:01 - mmengine - INFO - Epoch(train) [61][180/940] lr: 1.0000e-03 eta: 6:35:18 time: 0.6189 data_time: 0.0346 memory: 24011 grad_norm: 5.3744 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.7257 loss: 0.7257 2022/08/05 04:08:14 - mmengine - INFO - Epoch(train) [61][200/940] lr: 1.0000e-03 eta: 6:35:05 time: 0.6483 data_time: 0.0314 memory: 24011 grad_norm: 5.0081 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6480 loss: 0.6480 2022/08/05 04:08:27 - mmengine - INFO - Epoch(train) [61][220/940] lr: 1.0000e-03 eta: 6:34:53 time: 0.6597 data_time: 0.0969 memory: 24011 grad_norm: 5.1588 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7064 loss: 0.7064 2022/08/05 04:08:39 - mmengine - INFO - Epoch(train) [61][240/940] lr: 1.0000e-03 eta: 6:34:40 time: 0.5894 data_time: 0.0286 memory: 24011 grad_norm: 5.1265 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5705 loss: 0.5705 2022/08/05 04:08:51 - mmengine - INFO - Epoch(train) [61][260/940] lr: 1.0000e-03 eta: 6:34:27 time: 0.6134 data_time: 0.0617 memory: 24011 grad_norm: 5.2982 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6783 loss: 0.6783 2022/08/05 04:09:04 - mmengine - INFO - Epoch(train) [61][280/940] lr: 1.0000e-03 eta: 6:34:14 time: 0.6414 data_time: 0.0864 memory: 24011 grad_norm: 5.7830 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6287 loss: 0.6287 2022/08/05 04:09:17 - mmengine - INFO - Epoch(train) [61][300/940] lr: 1.0000e-03 eta: 6:34:02 time: 0.6438 data_time: 0.0915 memory: 24011 grad_norm: 4.8688 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6587 loss: 0.6587 2022/08/05 04:09:29 - mmengine - INFO - Epoch(train) [61][320/940] lr: 1.0000e-03 eta: 6:33:49 time: 0.6080 data_time: 0.0328 memory: 24011 grad_norm: 4.9090 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.6388 loss: 0.6388 2022/08/05 04:09:42 - mmengine - INFO - Epoch(train) [61][340/940] lr: 1.0000e-03 eta: 6:33:36 time: 0.6335 data_time: 0.0806 memory: 24011 grad_norm: 4.8110 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6189 loss: 0.6189 2022/08/05 04:09:54 - mmengine - INFO - Epoch(train) [61][360/940] lr: 1.0000e-03 eta: 6:33:23 time: 0.6074 data_time: 0.0325 memory: 24011 grad_norm: 5.8460 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7636 loss: 0.7636 2022/08/05 04:10:06 - mmengine - INFO - Epoch(train) [61][380/940] lr: 1.0000e-03 eta: 6:33:10 time: 0.5944 data_time: 0.0413 memory: 24011 grad_norm: 5.4998 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6879 loss: 0.6879 2022/08/05 04:10:19 - mmengine - INFO - Epoch(train) [61][400/940] lr: 1.0000e-03 eta: 6:32:57 time: 0.6335 data_time: 0.0459 memory: 24011 grad_norm: 5.0148 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5694 loss: 0.5694 2022/08/05 04:10:31 - mmengine - INFO - Epoch(train) [61][420/940] lr: 1.0000e-03 eta: 6:32:44 time: 0.6150 data_time: 0.0404 memory: 24011 grad_norm: 5.0234 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6556 loss: 0.6556 2022/08/05 04:10:44 - mmengine - INFO - Epoch(train) [61][440/940] lr: 1.0000e-03 eta: 6:32:32 time: 0.6624 data_time: 0.0605 memory: 24011 grad_norm: 5.1170 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6721 loss: 0.6721 2022/08/05 04:10:57 - mmengine - INFO - Epoch(train) [61][460/940] lr: 1.0000e-03 eta: 6:32:19 time: 0.6247 data_time: 0.0394 memory: 24011 grad_norm: 4.8849 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6541 loss: 0.6541 2022/08/05 04:11:09 - mmengine - INFO - Epoch(train) [61][480/940] lr: 1.0000e-03 eta: 6:32:06 time: 0.6023 data_time: 0.0306 memory: 24011 grad_norm: 4.8700 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6738 loss: 0.6738 2022/08/05 04:11:22 - mmengine - INFO - Epoch(train) [61][500/940] lr: 1.0000e-03 eta: 6:31:53 time: 0.6400 data_time: 0.0426 memory: 24011 grad_norm: 4.9928 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5865 loss: 0.5865 2022/08/05 04:11:33 - mmengine - INFO - Epoch(train) [61][520/940] lr: 1.0000e-03 eta: 6:31:40 time: 0.5848 data_time: 0.0274 memory: 24011 grad_norm: 4.8940 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5584 loss: 0.5584 2022/08/05 04:11:46 - mmengine - INFO - Epoch(train) [61][540/940] lr: 1.0000e-03 eta: 6:31:28 time: 0.6464 data_time: 0.0385 memory: 24011 grad_norm: 5.3800 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6239 loss: 0.6239 2022/08/05 04:11:59 - mmengine - INFO - Epoch(train) [61][560/940] lr: 1.0000e-03 eta: 6:31:15 time: 0.6296 data_time: 0.0605 memory: 24011 grad_norm: 5.2837 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7100 loss: 0.7100 2022/08/05 04:12:11 - mmengine - INFO - Epoch(train) [61][580/940] lr: 1.0000e-03 eta: 6:31:02 time: 0.6242 data_time: 0.0686 memory: 24011 grad_norm: 5.1527 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6153 loss: 0.6153 2022/08/05 04:12:24 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:12:24 - mmengine - INFO - Epoch(train) [61][600/940] lr: 1.0000e-03 eta: 6:30:49 time: 0.6205 data_time: 0.0397 memory: 24011 grad_norm: 4.9643 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6166 loss: 0.6166 2022/08/05 04:12:36 - mmengine - INFO - Epoch(train) [61][620/940] lr: 1.0000e-03 eta: 6:30:36 time: 0.5990 data_time: 0.0450 memory: 24011 grad_norm: 5.2860 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7160 loss: 0.7160 2022/08/05 04:12:48 - mmengine - INFO - Epoch(train) [61][640/940] lr: 1.0000e-03 eta: 6:30:23 time: 0.6342 data_time: 0.0439 memory: 24011 grad_norm: 5.1038 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5990 loss: 0.5990 2022/08/05 04:13:04 - mmengine - INFO - Epoch(train) [61][660/940] lr: 1.0000e-03 eta: 6:30:12 time: 0.7654 data_time: 0.2051 memory: 24011 grad_norm: 5.5674 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6665 loss: 0.6665 2022/08/05 04:13:15 - mmengine - INFO - Epoch(train) [61][680/940] lr: 1.0000e-03 eta: 6:29:59 time: 0.5786 data_time: 0.0268 memory: 24011 grad_norm: 7.9116 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6616 loss: 0.6616 2022/08/05 04:13:27 - mmengine - INFO - Epoch(train) [61][700/940] lr: 1.0000e-03 eta: 6:29:46 time: 0.6049 data_time: 0.0405 memory: 24011 grad_norm: 5.1712 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.6342 loss: 0.6342 2022/08/05 04:13:40 - mmengine - INFO - Epoch(train) [61][720/940] lr: 1.0000e-03 eta: 6:29:33 time: 0.6162 data_time: 0.0665 memory: 24011 grad_norm: 5.0740 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5051 loss: 0.5051 2022/08/05 04:13:53 - mmengine - INFO - Epoch(train) [61][740/940] lr: 1.0000e-03 eta: 6:29:21 time: 0.6525 data_time: 0.0697 memory: 24011 grad_norm: 5.2019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6896 loss: 0.6896 2022/08/05 04:14:05 - mmengine - INFO - Epoch(train) [61][760/940] lr: 1.0000e-03 eta: 6:29:08 time: 0.6152 data_time: 0.0491 memory: 24011 grad_norm: 5.1756 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6303 loss: 0.6303 2022/08/05 04:14:17 - mmengine - INFO - Epoch(train) [61][780/940] lr: 1.0000e-03 eta: 6:28:54 time: 0.5873 data_time: 0.0321 memory: 24011 grad_norm: 4.8165 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.6073 loss: 0.6073 2022/08/05 04:14:29 - mmengine - INFO - Epoch(train) [61][800/940] lr: 1.0000e-03 eta: 6:28:42 time: 0.6259 data_time: 0.0381 memory: 24011 grad_norm: 5.5962 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6706 loss: 0.6706 2022/08/05 04:14:42 - mmengine - INFO - Epoch(train) [61][820/940] lr: 1.0000e-03 eta: 6:28:29 time: 0.6423 data_time: 0.0861 memory: 24011 grad_norm: 5.9136 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5628 loss: 0.5628 2022/08/05 04:14:55 - mmengine - INFO - Epoch(train) [61][840/940] lr: 1.0000e-03 eta: 6:28:16 time: 0.6425 data_time: 0.0664 memory: 24011 grad_norm: 4.7265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6288 loss: 0.6288 2022/08/05 04:15:07 - mmengine - INFO - Epoch(train) [61][860/940] lr: 1.0000e-03 eta: 6:28:03 time: 0.6065 data_time: 0.0481 memory: 24011 grad_norm: 4.8842 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6713 loss: 0.6713 2022/08/05 04:15:20 - mmengine - INFO - Epoch(train) [61][880/940] lr: 1.0000e-03 eta: 6:27:51 time: 0.6409 data_time: 0.0731 memory: 24011 grad_norm: 5.8272 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6637 loss: 0.6637 2022/08/05 04:15:32 - mmengine - INFO - Epoch(train) [61][900/940] lr: 1.0000e-03 eta: 6:27:38 time: 0.6225 data_time: 0.0442 memory: 24011 grad_norm: 5.2203 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7311 loss: 0.7311 2022/08/05 04:15:45 - mmengine - INFO - Epoch(train) [61][920/940] lr: 1.0000e-03 eta: 6:27:25 time: 0.6181 data_time: 0.0402 memory: 24011 grad_norm: 5.1676 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6886 loss: 0.6886 2022/08/05 04:15:55 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:15:55 - mmengine - INFO - Epoch(train) [61][940/940] lr: 1.0000e-03 eta: 6:27:11 time: 0.5348 data_time: 0.0243 memory: 24011 grad_norm: 5.3075 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7199 loss: 0.7199 2022/08/05 04:16:09 - mmengine - INFO - Epoch(val) [61][20/78] eta: 0:00:38 time: 0.6691 data_time: 0.5155 memory: 3625 2022/08/05 04:16:18 - mmengine - INFO - Epoch(val) [61][40/78] eta: 0:00:16 time: 0.4339 data_time: 0.2788 memory: 3625 2022/08/05 04:16:30 - mmengine - INFO - Epoch(val) [61][60/78] eta: 0:00:11 time: 0.6272 data_time: 0.4752 memory: 3625 2022/08/05 04:16:41 - mmengine - INFO - Epoch(val) [61][78/78] acc/top1: 0.7398 acc/top5: 0.9090 acc/mean1: 0.7397 2022/08/05 04:16:58 - mmengine - INFO - Epoch(train) [62][20/940] lr: 1.0000e-03 eta: 6:27:02 time: 0.8752 data_time: 0.2488 memory: 24011 grad_norm: 4.8913 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.6645 loss: 0.6645 2022/08/05 04:17:11 - mmengine - INFO - Epoch(train) [62][40/940] lr: 1.0000e-03 eta: 6:26:49 time: 0.6370 data_time: 0.0323 memory: 24011 grad_norm: 4.7181 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6454 loss: 0.6454 2022/08/05 04:17:25 - mmengine - INFO - Epoch(train) [62][60/940] lr: 1.0000e-03 eta: 6:26:37 time: 0.6775 data_time: 0.0532 memory: 24011 grad_norm: 5.5663 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7311 loss: 0.7311 2022/08/05 04:17:37 - mmengine - INFO - Epoch(train) [62][80/940] lr: 1.0000e-03 eta: 6:26:24 time: 0.6013 data_time: 0.0529 memory: 24011 grad_norm: 5.8314 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6986 loss: 0.6986 2022/08/05 04:17:49 - mmengine - INFO - Epoch(train) [62][100/940] lr: 1.0000e-03 eta: 6:26:11 time: 0.6309 data_time: 0.0348 memory: 24011 grad_norm: 4.9959 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7128 loss: 0.7128 2022/08/05 04:18:01 - mmengine - INFO - Epoch(train) [62][120/940] lr: 1.0000e-03 eta: 6:25:58 time: 0.5993 data_time: 0.0342 memory: 24011 grad_norm: 5.0972 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6235 loss: 0.6235 2022/08/05 04:18:14 - mmengine - INFO - Epoch(train) [62][140/940] lr: 1.0000e-03 eta: 6:25:46 time: 0.6522 data_time: 0.0359 memory: 24011 grad_norm: 5.1669 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6189 loss: 0.6189 2022/08/05 04:18:26 - mmengine - INFO - Epoch(train) [62][160/940] lr: 1.0000e-03 eta: 6:25:32 time: 0.6010 data_time: 0.0358 memory: 24011 grad_norm: 4.8808 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6376 loss: 0.6376 2022/08/05 04:18:38 - mmengine - INFO - Epoch(train) [62][180/940] lr: 1.0000e-03 eta: 6:25:19 time: 0.5949 data_time: 0.0355 memory: 24011 grad_norm: 5.0927 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.7052 loss: 0.7052 2022/08/05 04:18:51 - mmengine - INFO - Epoch(train) [62][200/940] lr: 1.0000e-03 eta: 6:25:06 time: 0.6217 data_time: 0.0322 memory: 24011 grad_norm: 5.0680 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6926 loss: 0.6926 2022/08/05 04:19:04 - mmengine - INFO - Epoch(train) [62][220/940] lr: 1.0000e-03 eta: 6:24:54 time: 0.6687 data_time: 0.0313 memory: 24011 grad_norm: 5.1252 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6481 loss: 0.6481 2022/08/05 04:19:16 - mmengine - INFO - Epoch(train) [62][240/940] lr: 1.0000e-03 eta: 6:24:41 time: 0.6243 data_time: 0.0369 memory: 24011 grad_norm: 5.4454 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7005 loss: 0.7005 2022/08/05 04:19:29 - mmengine - INFO - Epoch(train) [62][260/940] lr: 1.0000e-03 eta: 6:24:29 time: 0.6182 data_time: 0.0378 memory: 24011 grad_norm: 4.9903 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6256 loss: 0.6256 2022/08/05 04:19:41 - mmengine - INFO - Epoch(train) [62][280/940] lr: 1.0000e-03 eta: 6:24:16 time: 0.6279 data_time: 0.0304 memory: 24011 grad_norm: 5.5321 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.6464 loss: 0.6464 2022/08/05 04:19:54 - mmengine - INFO - Epoch(train) [62][300/940] lr: 1.0000e-03 eta: 6:24:03 time: 0.6182 data_time: 0.0334 memory: 24011 grad_norm: 4.7696 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.7073 loss: 0.7073 2022/08/05 04:20:06 - mmengine - INFO - Epoch(train) [62][320/940] lr: 1.0000e-03 eta: 6:23:50 time: 0.6185 data_time: 0.0338 memory: 24011 grad_norm: 4.9957 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6764 loss: 0.6764 2022/08/05 04:20:18 - mmengine - INFO - Epoch(train) [62][340/940] lr: 1.0000e-03 eta: 6:23:37 time: 0.6038 data_time: 0.0326 memory: 24011 grad_norm: 4.8955 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6385 loss: 0.6385 2022/08/05 04:20:31 - mmengine - INFO - Epoch(train) [62][360/940] lr: 1.0000e-03 eta: 6:23:24 time: 0.6248 data_time: 0.0333 memory: 24011 grad_norm: 4.9045 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6177 loss: 0.6177 2022/08/05 04:20:44 - mmengine - INFO - Epoch(train) [62][380/940] lr: 1.0000e-03 eta: 6:23:12 time: 0.6531 data_time: 0.0622 memory: 24011 grad_norm: 5.3410 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6044 loss: 0.6044 2022/08/05 04:20:56 - mmengine - INFO - Epoch(train) [62][400/940] lr: 1.0000e-03 eta: 6:22:59 time: 0.5996 data_time: 0.0337 memory: 24011 grad_norm: 5.3310 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6551 loss: 0.6551 2022/08/05 04:21:09 - mmengine - INFO - Epoch(train) [62][420/940] lr: 1.0000e-03 eta: 6:22:46 time: 0.6488 data_time: 0.0554 memory: 24011 grad_norm: 5.0466 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.7032 loss: 0.7032 2022/08/05 04:21:21 - mmengine - INFO - Epoch(train) [62][440/940] lr: 1.0000e-03 eta: 6:22:33 time: 0.6155 data_time: 0.0462 memory: 24011 grad_norm: 4.9236 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6640 loss: 0.6640 2022/08/05 04:21:34 - mmengine - INFO - Epoch(train) [62][460/940] lr: 1.0000e-03 eta: 6:22:21 time: 0.6694 data_time: 0.1075 memory: 24011 grad_norm: 5.1485 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6060 loss: 0.6060 2022/08/05 04:21:47 - mmengine - INFO - Epoch(train) [62][480/940] lr: 1.0000e-03 eta: 6:22:08 time: 0.6060 data_time: 0.0436 memory: 24011 grad_norm: 4.9288 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5763 loss: 0.5763 2022/08/05 04:21:58 - mmengine - INFO - Epoch(train) [62][500/940] lr: 1.0000e-03 eta: 6:21:55 time: 0.5887 data_time: 0.0315 memory: 24011 grad_norm: 4.9546 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6638 loss: 0.6638 2022/08/05 04:22:11 - mmengine - INFO - Epoch(train) [62][520/940] lr: 1.0000e-03 eta: 6:21:42 time: 0.6241 data_time: 0.0309 memory: 24011 grad_norm: 5.2756 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6386 loss: 0.6386 2022/08/05 04:22:24 - mmengine - INFO - Epoch(train) [62][540/940] lr: 1.0000e-03 eta: 6:21:29 time: 0.6435 data_time: 0.0350 memory: 24011 grad_norm: 5.2418 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5176 loss: 0.5176 2022/08/05 04:22:36 - mmengine - INFO - Epoch(train) [62][560/940] lr: 1.0000e-03 eta: 6:21:17 time: 0.6161 data_time: 0.0358 memory: 24011 grad_norm: 5.3250 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6532 loss: 0.6532 2022/08/05 04:22:48 - mmengine - INFO - Epoch(train) [62][580/940] lr: 1.0000e-03 eta: 6:21:03 time: 0.5976 data_time: 0.0306 memory: 24011 grad_norm: 5.0228 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.6569 loss: 0.6569 2022/08/05 04:23:01 - mmengine - INFO - Epoch(train) [62][600/940] lr: 1.0000e-03 eta: 6:20:51 time: 0.6502 data_time: 0.0730 memory: 24011 grad_norm: 5.0136 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5798 loss: 0.5798 2022/08/05 04:23:13 - mmengine - INFO - Epoch(train) [62][620/940] lr: 1.0000e-03 eta: 6:20:38 time: 0.5826 data_time: 0.0336 memory: 24011 grad_norm: 6.1505 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6391 loss: 0.6391 2022/08/05 04:23:25 - mmengine - INFO - Epoch(train) [62][640/940] lr: 1.0000e-03 eta: 6:20:25 time: 0.6099 data_time: 0.0373 memory: 24011 grad_norm: 6.3583 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7317 loss: 0.7317 2022/08/05 04:23:37 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:23:37 - mmengine - INFO - Epoch(train) [62][660/940] lr: 1.0000e-03 eta: 6:20:12 time: 0.6148 data_time: 0.0626 memory: 24011 grad_norm: 5.0328 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6483 loss: 0.6483 2022/08/05 04:23:50 - mmengine - INFO - Epoch(train) [62][680/940] lr: 1.0000e-03 eta: 6:19:59 time: 0.6189 data_time: 0.0591 memory: 24011 grad_norm: 5.2524 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6504 loss: 0.6504 2022/08/05 04:24:02 - mmengine - INFO - Epoch(train) [62][700/940] lr: 1.0000e-03 eta: 6:19:46 time: 0.6336 data_time: 0.0464 memory: 24011 grad_norm: 5.4988 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5868 loss: 0.5868 2022/08/05 04:24:15 - mmengine - INFO - Epoch(train) [62][720/940] lr: 1.0000e-03 eta: 6:19:34 time: 0.6403 data_time: 0.0562 memory: 24011 grad_norm: 4.9346 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6131 loss: 0.6131 2022/08/05 04:24:27 - mmengine - INFO - Epoch(train) [62][740/940] lr: 1.0000e-03 eta: 6:19:20 time: 0.5884 data_time: 0.0344 memory: 24011 grad_norm: 6.2695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6535 loss: 0.6535 2022/08/05 04:24:41 - mmengine - INFO - Epoch(train) [62][760/940] lr: 1.0000e-03 eta: 6:19:09 time: 0.6951 data_time: 0.1269 memory: 24011 grad_norm: 5.1908 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6115 loss: 0.6115 2022/08/05 04:24:54 - mmengine - INFO - Epoch(train) [62][780/940] lr: 1.0000e-03 eta: 6:18:56 time: 0.6421 data_time: 0.0514 memory: 24011 grad_norm: 5.3155 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6848 loss: 0.6848 2022/08/05 04:25:06 - mmengine - INFO - Epoch(train) [62][800/940] lr: 1.0000e-03 eta: 6:18:43 time: 0.6074 data_time: 0.0519 memory: 24011 grad_norm: 5.3459 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5399 loss: 0.5399 2022/08/05 04:25:18 - mmengine - INFO - Epoch(train) [62][820/940] lr: 1.0000e-03 eta: 6:18:30 time: 0.6099 data_time: 0.0353 memory: 24011 grad_norm: 5.1483 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6261 loss: 0.6261 2022/08/05 04:25:31 - mmengine - INFO - Epoch(train) [62][840/940] lr: 1.0000e-03 eta: 6:18:17 time: 0.6314 data_time: 0.0646 memory: 24011 grad_norm: 5.2256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5879 loss: 0.5879 2022/08/05 04:25:42 - mmengine - INFO - Epoch(train) [62][860/940] lr: 1.0000e-03 eta: 6:18:04 time: 0.5923 data_time: 0.0285 memory: 24011 grad_norm: 5.1448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5484 loss: 0.5484 2022/08/05 04:25:55 - mmengine - INFO - Epoch(train) [62][880/940] lr: 1.0000e-03 eta: 6:17:51 time: 0.6271 data_time: 0.0360 memory: 24011 grad_norm: 5.0371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6137 loss: 0.6137 2022/08/05 04:26:07 - mmengine - INFO - Epoch(train) [62][900/940] lr: 1.0000e-03 eta: 6:17:38 time: 0.6168 data_time: 0.0373 memory: 24011 grad_norm: 5.1883 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5936 loss: 0.5936 2022/08/05 04:26:19 - mmengine - INFO - Epoch(train) [62][920/940] lr: 1.0000e-03 eta: 6:17:25 time: 0.5970 data_time: 0.0307 memory: 24011 grad_norm: 4.9197 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6387 loss: 0.6387 2022/08/05 04:26:30 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:26:30 - mmengine - INFO - Epoch(train) [62][940/940] lr: 1.0000e-03 eta: 6:17:11 time: 0.5324 data_time: 0.0261 memory: 24011 grad_norm: 5.2794 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.7641 loss: 0.7641 2022/08/05 04:26:43 - mmengine - INFO - Epoch(val) [62][20/78] eta: 0:00:38 time: 0.6568 data_time: 0.5022 memory: 3625 2022/08/05 04:26:52 - mmengine - INFO - Epoch(val) [62][40/78] eta: 0:00:16 time: 0.4440 data_time: 0.2870 memory: 3625 2022/08/05 04:27:05 - mmengine - INFO - Epoch(val) [62][60/78] eta: 0:00:11 time: 0.6253 data_time: 0.4607 memory: 3625 2022/08/05 04:27:15 - mmengine - INFO - Epoch(val) [62][78/78] acc/top1: 0.7397 acc/top5: 0.9082 acc/mean1: 0.7396 2022/08/05 04:27:33 - mmengine - INFO - Epoch(train) [63][20/940] lr: 1.0000e-03 eta: 6:17:02 time: 0.9210 data_time: 0.2935 memory: 24011 grad_norm: 5.2471 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6213 loss: 0.6213 2022/08/05 04:27:46 - mmengine - INFO - Epoch(train) [63][40/940] lr: 1.0000e-03 eta: 6:16:49 time: 0.6076 data_time: 0.0365 memory: 24011 grad_norm: 6.2861 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6692 loss: 0.6692 2022/08/05 04:27:58 - mmengine - INFO - Epoch(train) [63][60/940] lr: 1.0000e-03 eta: 6:16:37 time: 0.6330 data_time: 0.0357 memory: 24011 grad_norm: 4.9356 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6542 loss: 0.6542 2022/08/05 04:28:10 - mmengine - INFO - Epoch(train) [63][80/940] lr: 1.0000e-03 eta: 6:16:24 time: 0.6161 data_time: 0.0275 memory: 24011 grad_norm: 5.2627 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6099 loss: 0.6099 2022/08/05 04:28:23 - mmengine - INFO - Epoch(train) [63][100/940] lr: 1.0000e-03 eta: 6:16:11 time: 0.6472 data_time: 0.0334 memory: 24011 grad_norm: 4.8990 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5755 loss: 0.5755 2022/08/05 04:28:36 - mmengine - INFO - Epoch(train) [63][120/940] lr: 1.0000e-03 eta: 6:15:59 time: 0.6450 data_time: 0.0303 memory: 24011 grad_norm: 5.5103 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6622 loss: 0.6622 2022/08/05 04:28:48 - mmengine - INFO - Epoch(train) [63][140/940] lr: 1.0000e-03 eta: 6:15:46 time: 0.6039 data_time: 0.0379 memory: 24011 grad_norm: 5.4083 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6294 loss: 0.6294 2022/08/05 04:29:01 - mmengine - INFO - Epoch(train) [63][160/940] lr: 1.0000e-03 eta: 6:15:33 time: 0.6338 data_time: 0.0373 memory: 24011 grad_norm: 5.0495 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6461 loss: 0.6461 2022/08/05 04:29:14 - mmengine - INFO - Epoch(train) [63][180/940] lr: 1.0000e-03 eta: 6:15:20 time: 0.6480 data_time: 0.0384 memory: 24011 grad_norm: 5.4248 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.7094 loss: 0.7094 2022/08/05 04:29:26 - mmengine - INFO - Epoch(train) [63][200/940] lr: 1.0000e-03 eta: 6:15:07 time: 0.5850 data_time: 0.0345 memory: 24011 grad_norm: 5.1316 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6131 loss: 0.6131 2022/08/05 04:29:38 - mmengine - INFO - Epoch(train) [63][220/940] lr: 1.0000e-03 eta: 6:14:54 time: 0.5879 data_time: 0.0339 memory: 24011 grad_norm: 4.9343 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6064 loss: 0.6064 2022/08/05 04:29:50 - mmengine - INFO - Epoch(train) [63][240/940] lr: 1.0000e-03 eta: 6:14:41 time: 0.6112 data_time: 0.0382 memory: 24011 grad_norm: 4.9769 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6843 loss: 0.6843 2022/08/05 04:30:03 - mmengine - INFO - Epoch(train) [63][260/940] lr: 1.0000e-03 eta: 6:14:28 time: 0.6436 data_time: 0.0355 memory: 24011 grad_norm: 5.7388 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.6223 loss: 0.6223 2022/08/05 04:30:15 - mmengine - INFO - Epoch(train) [63][280/940] lr: 1.0000e-03 eta: 6:14:16 time: 0.6298 data_time: 0.0325 memory: 24011 grad_norm: 5.2092 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5639 loss: 0.5639 2022/08/05 04:30:28 - mmengine - INFO - Epoch(train) [63][300/940] lr: 1.0000e-03 eta: 6:14:03 time: 0.6424 data_time: 0.0427 memory: 24011 grad_norm: 4.8957 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5840 loss: 0.5840 2022/08/05 04:30:40 - mmengine - INFO - Epoch(train) [63][320/940] lr: 1.0000e-03 eta: 6:13:50 time: 0.6177 data_time: 0.0421 memory: 24011 grad_norm: 5.0469 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6194 loss: 0.6194 2022/08/05 04:30:53 - mmengine - INFO - Epoch(train) [63][340/940] lr: 1.0000e-03 eta: 6:13:38 time: 0.6259 data_time: 0.0422 memory: 24011 grad_norm: 4.9241 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6926 loss: 0.6926 2022/08/05 04:31:06 - mmengine - INFO - Epoch(train) [63][360/940] lr: 1.0000e-03 eta: 6:13:25 time: 0.6399 data_time: 0.0390 memory: 24011 grad_norm: 5.8463 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7226 loss: 0.7226 2022/08/05 04:31:18 - mmengine - INFO - Epoch(train) [63][380/940] lr: 1.0000e-03 eta: 6:13:12 time: 0.6253 data_time: 0.0594 memory: 24011 grad_norm: 6.8740 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7165 loss: 0.7165 2022/08/05 04:31:31 - mmengine - INFO - Epoch(train) [63][400/940] lr: 1.0000e-03 eta: 6:13:00 time: 0.6513 data_time: 0.0373 memory: 24011 grad_norm: 5.8422 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6254 loss: 0.6254 2022/08/05 04:31:43 - mmengine - INFO - Epoch(train) [63][420/940] lr: 1.0000e-03 eta: 6:12:47 time: 0.6070 data_time: 0.0278 memory: 24011 grad_norm: 4.7925 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6933 loss: 0.6933 2022/08/05 04:31:56 - mmengine - INFO - Epoch(train) [63][440/940] lr: 1.0000e-03 eta: 6:12:34 time: 0.6388 data_time: 0.0419 memory: 24011 grad_norm: 4.9404 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6407 loss: 0.6407 2022/08/05 04:32:09 - mmengine - INFO - Epoch(train) [63][460/940] lr: 1.0000e-03 eta: 6:12:21 time: 0.6121 data_time: 0.0330 memory: 24011 grad_norm: 5.2352 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6051 loss: 0.6051 2022/08/05 04:32:21 - mmengine - INFO - Epoch(train) [63][480/940] lr: 1.0000e-03 eta: 6:12:09 time: 0.6423 data_time: 0.0351 memory: 24011 grad_norm: 5.1296 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6775 loss: 0.6775 2022/08/05 04:32:34 - mmengine - INFO - Epoch(train) [63][500/940] lr: 1.0000e-03 eta: 6:11:56 time: 0.6190 data_time: 0.0375 memory: 24011 grad_norm: 5.0473 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6423 loss: 0.6423 2022/08/05 04:32:46 - mmengine - INFO - Epoch(train) [63][520/940] lr: 1.0000e-03 eta: 6:11:43 time: 0.6190 data_time: 0.0397 memory: 24011 grad_norm: 5.0724 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.7543 loss: 0.7543 2022/08/05 04:32:58 - mmengine - INFO - Epoch(train) [63][540/940] lr: 1.0000e-03 eta: 6:11:30 time: 0.6167 data_time: 0.0325 memory: 24011 grad_norm: 5.3488 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6477 loss: 0.6477 2022/08/05 04:33:10 - mmengine - INFO - Epoch(train) [63][560/940] lr: 1.0000e-03 eta: 6:11:17 time: 0.5839 data_time: 0.0410 memory: 24011 grad_norm: 4.9170 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6265 loss: 0.6265 2022/08/05 04:33:22 - mmengine - INFO - Epoch(train) [63][580/940] lr: 1.0000e-03 eta: 6:11:04 time: 0.5957 data_time: 0.0461 memory: 24011 grad_norm: 5.0239 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6309 loss: 0.6309 2022/08/05 04:33:35 - mmengine - INFO - Epoch(train) [63][600/940] lr: 1.0000e-03 eta: 6:10:51 time: 0.6430 data_time: 0.0304 memory: 24011 grad_norm: 4.8155 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5687 loss: 0.5687 2022/08/05 04:33:48 - mmengine - INFO - Epoch(train) [63][620/940] lr: 1.0000e-03 eta: 6:10:39 time: 0.6498 data_time: 0.0425 memory: 24011 grad_norm: 5.0404 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6691 loss: 0.6691 2022/08/05 04:34:00 - mmengine - INFO - Epoch(train) [63][640/940] lr: 1.0000e-03 eta: 6:10:26 time: 0.5989 data_time: 0.0332 memory: 24011 grad_norm: 6.8570 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6592 loss: 0.6592 2022/08/05 04:34:13 - mmengine - INFO - Epoch(train) [63][660/940] lr: 1.0000e-03 eta: 6:10:13 time: 0.6608 data_time: 0.0357 memory: 24011 grad_norm: 5.2111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6786 loss: 0.6786 2022/08/05 04:34:25 - mmengine - INFO - Epoch(train) [63][680/940] lr: 1.0000e-03 eta: 6:10:00 time: 0.6012 data_time: 0.0365 memory: 24011 grad_norm: 5.5809 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6180 loss: 0.6180 2022/08/05 04:34:40 - mmengine - INFO - Epoch(train) [63][700/940] lr: 1.0000e-03 eta: 6:09:49 time: 0.7595 data_time: 0.0503 memory: 24011 grad_norm: 5.6617 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.5177 loss: 0.5177 2022/08/05 04:34:52 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:34:52 - mmengine - INFO - Epoch(train) [63][720/940] lr: 1.0000e-03 eta: 6:09:36 time: 0.5963 data_time: 0.0331 memory: 24011 grad_norm: 5.3662 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6970 loss: 0.6970 2022/08/05 04:35:04 - mmengine - INFO - Epoch(train) [63][740/940] lr: 1.0000e-03 eta: 6:09:23 time: 0.5997 data_time: 0.0346 memory: 24011 grad_norm: 5.1077 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5511 loss: 0.5511 2022/08/05 04:35:17 - mmengine - INFO - Epoch(train) [63][760/940] lr: 1.0000e-03 eta: 6:09:10 time: 0.6141 data_time: 0.0374 memory: 24011 grad_norm: 4.9793 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6679 loss: 0.6679 2022/08/05 04:35:29 - mmengine - INFO - Epoch(train) [63][780/940] lr: 1.0000e-03 eta: 6:08:57 time: 0.6255 data_time: 0.0711 memory: 24011 grad_norm: 5.7692 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6380 loss: 0.6380 2022/08/05 04:35:42 - mmengine - INFO - Epoch(train) [63][800/940] lr: 1.0000e-03 eta: 6:08:45 time: 0.6390 data_time: 0.0363 memory: 24011 grad_norm: 4.9282 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6534 loss: 0.6534 2022/08/05 04:35:54 - mmengine - INFO - Epoch(train) [63][820/940] lr: 1.0000e-03 eta: 6:08:31 time: 0.5931 data_time: 0.0364 memory: 24011 grad_norm: 5.0299 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6032 loss: 0.6032 2022/08/05 04:36:07 - mmengine - INFO - Epoch(train) [63][840/940] lr: 1.0000e-03 eta: 6:08:19 time: 0.6364 data_time: 0.0337 memory: 24011 grad_norm: 4.9539 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6304 loss: 0.6304 2022/08/05 04:36:19 - mmengine - INFO - Epoch(train) [63][860/940] lr: 1.0000e-03 eta: 6:08:06 time: 0.6096 data_time: 0.0437 memory: 24011 grad_norm: 4.9539 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6356 loss: 0.6356 2022/08/05 04:36:31 - mmengine - INFO - Epoch(train) [63][880/940] lr: 1.0000e-03 eta: 6:07:53 time: 0.6205 data_time: 0.0347 memory: 24011 grad_norm: 5.2917 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5487 loss: 0.5487 2022/08/05 04:36:43 - mmengine - INFO - Epoch(train) [63][900/940] lr: 1.0000e-03 eta: 6:07:40 time: 0.5988 data_time: 0.0378 memory: 24011 grad_norm: 5.0349 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5722 loss: 0.5722 2022/08/05 04:36:55 - mmengine - INFO - Epoch(train) [63][920/940] lr: 1.0000e-03 eta: 6:07:27 time: 0.6176 data_time: 0.0352 memory: 24011 grad_norm: 5.2511 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6138 loss: 0.6138 2022/08/05 04:37:07 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:37:07 - mmengine - INFO - Epoch(train) [63][940/940] lr: 1.0000e-03 eta: 6:07:14 time: 0.5806 data_time: 0.0300 memory: 24011 grad_norm: 5.3123 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6057 loss: 0.6057 2022/08/05 04:37:07 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/08/05 04:37:26 - mmengine - INFO - Epoch(val) [63][20/78] eta: 0:00:38 time: 0.6684 data_time: 0.5051 memory: 3625 2022/08/05 04:37:34 - mmengine - INFO - Epoch(val) [63][40/78] eta: 0:00:16 time: 0.4400 data_time: 0.2901 memory: 3625 2022/08/05 04:37:47 - mmengine - INFO - Epoch(val) [63][60/78] eta: 0:00:11 time: 0.6209 data_time: 0.4688 memory: 3625 2022/08/05 04:37:56 - mmengine - INFO - Epoch(val) [63][78/78] acc/top1: 0.7406 acc/top5: 0.9082 acc/mean1: 0.7405 2022/08/05 04:38:14 - mmengine - INFO - Epoch(train) [64][20/940] lr: 1.0000e-03 eta: 6:07:04 time: 0.9068 data_time: 0.2724 memory: 24011 grad_norm: 4.8995 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.6735 loss: 0.6735 2022/08/05 04:38:26 - mmengine - INFO - Epoch(train) [64][40/940] lr: 1.0000e-03 eta: 6:06:51 time: 0.5954 data_time: 0.0328 memory: 24011 grad_norm: 5.1600 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.6376 loss: 0.6376 2022/08/05 04:38:38 - mmengine - INFO - Epoch(train) [64][60/940] lr: 1.0000e-03 eta: 6:06:38 time: 0.6086 data_time: 0.0364 memory: 24011 grad_norm: 4.9664 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6383 loss: 0.6383 2022/08/05 04:38:51 - mmengine - INFO - Epoch(train) [64][80/940] lr: 1.0000e-03 eta: 6:06:26 time: 0.6592 data_time: 0.0317 memory: 24011 grad_norm: 5.1096 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.4928 loss: 0.4928 2022/08/05 04:39:04 - mmengine - INFO - Epoch(train) [64][100/940] lr: 1.0000e-03 eta: 6:06:13 time: 0.6452 data_time: 0.0375 memory: 24011 grad_norm: 5.1991 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7260 loss: 0.7260 2022/08/05 04:39:17 - mmengine - INFO - Epoch(train) [64][120/940] lr: 1.0000e-03 eta: 6:06:00 time: 0.6224 data_time: 0.0304 memory: 24011 grad_norm: 4.7781 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6837 loss: 0.6837 2022/08/05 04:39:30 - mmengine - INFO - Epoch(train) [64][140/940] lr: 1.0000e-03 eta: 6:05:48 time: 0.6578 data_time: 0.0361 memory: 24011 grad_norm: 5.1555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6639 loss: 0.6639 2022/08/05 04:39:42 - mmengine - INFO - Epoch(train) [64][160/940] lr: 1.0000e-03 eta: 6:05:35 time: 0.6159 data_time: 0.0270 memory: 24011 grad_norm: 5.7253 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7079 loss: 0.7079 2022/08/05 04:39:55 - mmengine - INFO - Epoch(train) [64][180/940] lr: 1.0000e-03 eta: 6:05:22 time: 0.6284 data_time: 0.0357 memory: 24011 grad_norm: 5.4319 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6020 loss: 0.6020 2022/08/05 04:40:07 - mmengine - INFO - Epoch(train) [64][200/940] lr: 1.0000e-03 eta: 6:05:09 time: 0.6098 data_time: 0.0350 memory: 24011 grad_norm: 4.8793 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6517 loss: 0.6517 2022/08/05 04:40:19 - mmengine - INFO - Epoch(train) [64][220/940] lr: 1.0000e-03 eta: 6:04:57 time: 0.6149 data_time: 0.0317 memory: 24011 grad_norm: 4.9590 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6183 loss: 0.6183 2022/08/05 04:40:32 - mmengine - INFO - Epoch(train) [64][240/940] lr: 1.0000e-03 eta: 6:04:44 time: 0.6422 data_time: 0.0377 memory: 24011 grad_norm: 5.0746 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.7113 loss: 0.7113 2022/08/05 04:40:45 - mmengine - INFO - Epoch(train) [64][260/940] lr: 1.0000e-03 eta: 6:04:31 time: 0.6301 data_time: 0.0340 memory: 24011 grad_norm: 5.0052 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6664 loss: 0.6664 2022/08/05 04:40:57 - mmengine - INFO - Epoch(train) [64][280/940] lr: 1.0000e-03 eta: 6:04:19 time: 0.6235 data_time: 0.0390 memory: 24011 grad_norm: 5.2562 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6192 loss: 0.6192 2022/08/05 04:41:11 - mmengine - INFO - Epoch(train) [64][300/940] lr: 1.0000e-03 eta: 6:04:06 time: 0.6785 data_time: 0.0438 memory: 24011 grad_norm: 4.9212 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.5447 loss: 0.5447 2022/08/05 04:41:23 - mmengine - INFO - Epoch(train) [64][320/940] lr: 1.0000e-03 eta: 6:03:53 time: 0.5900 data_time: 0.0361 memory: 24011 grad_norm: 4.8957 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5953 loss: 0.5953 2022/08/05 04:41:35 - mmengine - INFO - Epoch(train) [64][340/940] lr: 1.0000e-03 eta: 6:03:40 time: 0.6210 data_time: 0.0414 memory: 24011 grad_norm: 4.9513 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.7250 loss: 0.7250 2022/08/05 04:41:47 - mmengine - INFO - Epoch(train) [64][360/940] lr: 1.0000e-03 eta: 6:03:27 time: 0.5974 data_time: 0.0407 memory: 24011 grad_norm: 5.0835 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4995 loss: 0.4995 2022/08/05 04:42:00 - mmengine - INFO - Epoch(train) [64][380/940] lr: 1.0000e-03 eta: 6:03:15 time: 0.6395 data_time: 0.0327 memory: 24011 grad_norm: 4.9050 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5835 loss: 0.5835 2022/08/05 04:42:12 - mmengine - INFO - Epoch(train) [64][400/940] lr: 1.0000e-03 eta: 6:03:02 time: 0.6015 data_time: 0.0334 memory: 24011 grad_norm: 5.5281 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7441 loss: 0.7441 2022/08/05 04:42:25 - mmengine - INFO - Epoch(train) [64][420/940] lr: 1.0000e-03 eta: 6:02:49 time: 0.6506 data_time: 0.0372 memory: 24011 grad_norm: 5.2685 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6535 loss: 0.6535 2022/08/05 04:42:38 - mmengine - INFO - Epoch(train) [64][440/940] lr: 1.0000e-03 eta: 6:02:37 time: 0.6463 data_time: 0.0630 memory: 24011 grad_norm: 6.0372 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6918 loss: 0.6918 2022/08/05 04:42:50 - mmengine - INFO - Epoch(train) [64][460/940] lr: 1.0000e-03 eta: 6:02:24 time: 0.5993 data_time: 0.0384 memory: 24011 grad_norm: 5.0720 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6454 loss: 0.6454 2022/08/05 04:43:03 - mmengine - INFO - Epoch(train) [64][480/940] lr: 1.0000e-03 eta: 6:02:11 time: 0.6336 data_time: 0.0421 memory: 24011 grad_norm: 5.2780 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5916 loss: 0.5916 2022/08/05 04:43:16 - mmengine - INFO - Epoch(train) [64][500/940] lr: 1.0000e-03 eta: 6:01:59 time: 0.6698 data_time: 0.0351 memory: 24011 grad_norm: 5.2334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6469 loss: 0.6469 2022/08/05 04:43:28 - mmengine - INFO - Epoch(train) [64][520/940] lr: 1.0000e-03 eta: 6:01:46 time: 0.6019 data_time: 0.0328 memory: 24011 grad_norm: 5.3071 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6353 loss: 0.6353 2022/08/05 04:43:40 - mmengine - INFO - Epoch(train) [64][540/940] lr: 1.0000e-03 eta: 6:01:32 time: 0.5838 data_time: 0.0371 memory: 24011 grad_norm: 5.3850 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7171 loss: 0.7171 2022/08/05 04:43:52 - mmengine - INFO - Epoch(train) [64][560/940] lr: 1.0000e-03 eta: 6:01:20 time: 0.6238 data_time: 0.0383 memory: 24011 grad_norm: 5.0329 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7392 loss: 0.7392 2022/08/05 04:44:04 - mmengine - INFO - Epoch(train) [64][580/940] lr: 1.0000e-03 eta: 6:01:06 time: 0.5918 data_time: 0.0349 memory: 24011 grad_norm: 5.9507 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.7065 loss: 0.7065 2022/08/05 04:44:17 - mmengine - INFO - Epoch(train) [64][600/940] lr: 1.0000e-03 eta: 6:00:54 time: 0.6325 data_time: 0.0391 memory: 24011 grad_norm: 4.8301 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6145 loss: 0.6145 2022/08/05 04:44:29 - mmengine - INFO - Epoch(train) [64][620/940] lr: 1.0000e-03 eta: 6:00:41 time: 0.6211 data_time: 0.0418 memory: 24011 grad_norm: 4.9945 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6315 loss: 0.6315 2022/08/05 04:44:41 - mmengine - INFO - Epoch(train) [64][640/940] lr: 1.0000e-03 eta: 6:00:28 time: 0.5899 data_time: 0.0344 memory: 24011 grad_norm: 5.2841 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5796 loss: 0.5796 2022/08/05 04:44:54 - mmengine - INFO - Epoch(train) [64][660/940] lr: 1.0000e-03 eta: 6:00:15 time: 0.6347 data_time: 0.0384 memory: 24011 grad_norm: 5.1955 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6648 loss: 0.6648 2022/08/05 04:45:06 - mmengine - INFO - Epoch(train) [64][680/940] lr: 1.0000e-03 eta: 6:00:02 time: 0.6246 data_time: 0.0318 memory: 24011 grad_norm: 5.1088 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6055 loss: 0.6055 2022/08/05 04:45:18 - mmengine - INFO - Epoch(train) [64][700/940] lr: 1.0000e-03 eta: 5:59:49 time: 0.5940 data_time: 0.0372 memory: 24011 grad_norm: 5.7262 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6094 loss: 0.6094 2022/08/05 04:45:31 - mmengine - INFO - Epoch(train) [64][720/940] lr: 1.0000e-03 eta: 5:59:37 time: 0.6717 data_time: 0.0365 memory: 24011 grad_norm: 5.1664 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5201 loss: 0.5201 2022/08/05 04:45:44 - mmengine - INFO - Epoch(train) [64][740/940] lr: 1.0000e-03 eta: 5:59:24 time: 0.6362 data_time: 0.0377 memory: 24011 grad_norm: 5.2552 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6754 loss: 0.6754 2022/08/05 04:45:56 - mmengine - INFO - Epoch(train) [64][760/940] lr: 1.0000e-03 eta: 5:59:11 time: 0.6030 data_time: 0.0337 memory: 24011 grad_norm: 5.5049 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6545 loss: 0.6545 2022/08/05 04:46:08 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:46:08 - mmengine - INFO - Epoch(train) [64][780/940] lr: 1.0000e-03 eta: 5:58:58 time: 0.5919 data_time: 0.0411 memory: 24011 grad_norm: 5.5287 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6350 loss: 0.6350 2022/08/05 04:46:20 - mmengine - INFO - Epoch(train) [64][800/940] lr: 1.0000e-03 eta: 5:58:45 time: 0.6187 data_time: 0.0344 memory: 24011 grad_norm: 5.3159 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6327 loss: 0.6327 2022/08/05 04:46:34 - mmengine - INFO - Epoch(train) [64][820/940] lr: 1.0000e-03 eta: 5:58:33 time: 0.6552 data_time: 0.0424 memory: 24011 grad_norm: 5.2801 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6433 loss: 0.6433 2022/08/05 04:46:46 - mmengine - INFO - Epoch(train) [64][840/940] lr: 1.0000e-03 eta: 5:58:20 time: 0.6386 data_time: 0.0385 memory: 24011 grad_norm: 5.1057 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6782 loss: 0.6782 2022/08/05 04:46:59 - mmengine - INFO - Epoch(train) [64][860/940] lr: 1.0000e-03 eta: 5:58:08 time: 0.6477 data_time: 0.0582 memory: 24011 grad_norm: 5.0271 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5974 loss: 0.5974 2022/08/05 04:47:12 - mmengine - INFO - Epoch(train) [64][880/940] lr: 1.0000e-03 eta: 5:57:55 time: 0.6199 data_time: 0.0354 memory: 24011 grad_norm: 5.0448 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6425 loss: 0.6425 2022/08/05 04:47:27 - mmengine - INFO - Epoch(train) [64][900/940] lr: 1.0000e-03 eta: 5:57:44 time: 0.7707 data_time: 0.0301 memory: 24011 grad_norm: 5.2081 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6506 loss: 0.6506 2022/08/05 04:47:39 - mmengine - INFO - Epoch(train) [64][920/940] lr: 1.0000e-03 eta: 5:57:31 time: 0.5904 data_time: 0.0349 memory: 24011 grad_norm: 5.2474 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6104 loss: 0.6104 2022/08/05 04:47:50 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:47:50 - mmengine - INFO - Epoch(train) [64][940/940] lr: 1.0000e-03 eta: 5:57:17 time: 0.5431 data_time: 0.0231 memory: 24011 grad_norm: 5.3096 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.6346 loss: 0.6346 2022/08/05 04:48:04 - mmengine - INFO - Epoch(val) [64][20/78] eta: 0:00:39 time: 0.6760 data_time: 0.5207 memory: 3625 2022/08/05 04:48:12 - mmengine - INFO - Epoch(val) [64][40/78] eta: 0:00:16 time: 0.4422 data_time: 0.2901 memory: 3625 2022/08/05 04:48:24 - mmengine - INFO - Epoch(val) [64][60/78] eta: 0:00:10 time: 0.6044 data_time: 0.4482 memory: 3625 2022/08/05 04:48:35 - mmengine - INFO - Epoch(val) [64][78/78] acc/top1: 0.7411 acc/top5: 0.9084 acc/mean1: 0.7410 2022/08/05 04:48:35 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_56.pth is removed 2022/08/05 04:48:38 - mmengine - INFO - The best checkpoint with 0.7411 acc/top1 at 65 epoch is saved to best_acc/top1_epoch_65.pth. 2022/08/05 04:48:54 - mmengine - INFO - Epoch(train) [65][20/940] lr: 1.0000e-03 eta: 5:57:07 time: 0.8252 data_time: 0.2955 memory: 24011 grad_norm: 4.9438 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6348 loss: 0.6348 2022/08/05 04:49:07 - mmengine - INFO - Epoch(train) [65][40/940] lr: 1.0000e-03 eta: 5:56:54 time: 0.6060 data_time: 0.0537 memory: 24011 grad_norm: 5.1069 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5856 loss: 0.5856 2022/08/05 04:49:20 - mmengine - INFO - Epoch(train) [65][60/940] lr: 1.0000e-03 eta: 5:56:41 time: 0.6630 data_time: 0.1102 memory: 24011 grad_norm: 5.2134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5692 loss: 0.5692 2022/08/05 04:49:32 - mmengine - INFO - Epoch(train) [65][80/940] lr: 1.0000e-03 eta: 5:56:28 time: 0.6090 data_time: 0.0413 memory: 24011 grad_norm: 5.4505 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6447 loss: 0.6447 2022/08/05 04:49:45 - mmengine - INFO - Epoch(train) [65][100/940] lr: 1.0000e-03 eta: 5:56:16 time: 0.6586 data_time: 0.1224 memory: 24011 grad_norm: 5.0867 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5989 loss: 0.5989 2022/08/05 04:49:57 - mmengine - INFO - Epoch(train) [65][120/940] lr: 1.0000e-03 eta: 5:56:03 time: 0.5754 data_time: 0.0286 memory: 24011 grad_norm: 5.2399 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6610 loss: 0.6610 2022/08/05 04:50:09 - mmengine - INFO - Epoch(train) [65][140/940] lr: 1.0000e-03 eta: 5:55:49 time: 0.5898 data_time: 0.0506 memory: 24011 grad_norm: 5.0821 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5646 loss: 0.5646 2022/08/05 04:50:21 - mmengine - INFO - Epoch(train) [65][160/940] lr: 1.0000e-03 eta: 5:55:37 time: 0.6263 data_time: 0.0706 memory: 24011 grad_norm: 5.4061 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6321 loss: 0.6321 2022/08/05 04:50:34 - mmengine - INFO - Epoch(train) [65][180/940] lr: 1.0000e-03 eta: 5:55:24 time: 0.6474 data_time: 0.0979 memory: 24011 grad_norm: 4.8934 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6745 loss: 0.6745 2022/08/05 04:50:47 - mmengine - INFO - Epoch(train) [65][200/940] lr: 1.0000e-03 eta: 5:55:12 time: 0.6404 data_time: 0.0808 memory: 24011 grad_norm: 6.0898 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6389 loss: 0.6389 2022/08/05 04:51:00 - mmengine - INFO - Epoch(train) [65][220/940] lr: 1.0000e-03 eta: 5:54:59 time: 0.6729 data_time: 0.1194 memory: 24011 grad_norm: 5.1701 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5486 loss: 0.5486 2022/08/05 04:51:12 - mmengine - INFO - Epoch(train) [65][240/940] lr: 1.0000e-03 eta: 5:54:46 time: 0.5744 data_time: 0.0274 memory: 24011 grad_norm: 5.4906 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6875 loss: 0.6875 2022/08/05 04:51:24 - mmengine - INFO - Epoch(train) [65][260/940] lr: 1.0000e-03 eta: 5:54:33 time: 0.6209 data_time: 0.0606 memory: 24011 grad_norm: 5.1072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5896 loss: 0.5896 2022/08/05 04:51:37 - mmengine - INFO - Epoch(train) [65][280/940] lr: 1.0000e-03 eta: 5:54:21 time: 0.6551 data_time: 0.0710 memory: 24011 grad_norm: 5.1152 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6094 loss: 0.6094 2022/08/05 04:51:50 - mmengine - INFO - Epoch(train) [65][300/940] lr: 1.0000e-03 eta: 5:54:08 time: 0.6133 data_time: 0.0513 memory: 24011 grad_norm: 5.4300 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5529 loss: 0.5529 2022/08/05 04:52:02 - mmengine - INFO - Epoch(train) [65][320/940] lr: 1.0000e-03 eta: 5:53:55 time: 0.6177 data_time: 0.0571 memory: 24011 grad_norm: 5.2052 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6014 loss: 0.6014 2022/08/05 04:52:15 - mmengine - INFO - Epoch(train) [65][340/940] lr: 1.0000e-03 eta: 5:53:42 time: 0.6372 data_time: 0.0731 memory: 24011 grad_norm: 5.1059 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6764 loss: 0.6764 2022/08/05 04:52:27 - mmengine - INFO - Epoch(train) [65][360/940] lr: 1.0000e-03 eta: 5:53:30 time: 0.6215 data_time: 0.0577 memory: 24011 grad_norm: 5.3899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5915 loss: 0.5915 2022/08/05 04:52:39 - mmengine - INFO - Epoch(train) [65][380/940] lr: 1.0000e-03 eta: 5:53:17 time: 0.6118 data_time: 0.0502 memory: 24011 grad_norm: 4.8457 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6177 loss: 0.6177 2022/08/05 04:52:52 - mmengine - INFO - Epoch(train) [65][400/940] lr: 1.0000e-03 eta: 5:53:04 time: 0.6391 data_time: 0.0765 memory: 24011 grad_norm: 5.1260 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6589 loss: 0.6589 2022/08/05 04:53:04 - mmengine - INFO - Epoch(train) [65][420/940] lr: 1.0000e-03 eta: 5:52:51 time: 0.6042 data_time: 0.0521 memory: 24011 grad_norm: 5.1578 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7382 loss: 0.7382 2022/08/05 04:53:17 - mmengine - INFO - Epoch(train) [65][440/940] lr: 1.0000e-03 eta: 5:52:38 time: 0.6193 data_time: 0.0467 memory: 24011 grad_norm: 5.2675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5582 loss: 0.5582 2022/08/05 04:53:29 - mmengine - INFO - Epoch(train) [65][460/940] lr: 1.0000e-03 eta: 5:52:25 time: 0.6046 data_time: 0.0400 memory: 24011 grad_norm: 5.1360 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6126 loss: 0.6126 2022/08/05 04:53:41 - mmengine - INFO - Epoch(train) [65][480/940] lr: 1.0000e-03 eta: 5:52:12 time: 0.6005 data_time: 0.0484 memory: 24011 grad_norm: 5.3817 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5596 loss: 0.5596 2022/08/05 04:53:54 - mmengine - INFO - Epoch(train) [65][500/940] lr: 1.0000e-03 eta: 5:52:00 time: 0.6457 data_time: 0.0822 memory: 24011 grad_norm: 5.0151 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6450 loss: 0.6450 2022/08/05 04:54:07 - mmengine - INFO - Epoch(train) [65][520/940] lr: 1.0000e-03 eta: 5:51:47 time: 0.6443 data_time: 0.0296 memory: 24011 grad_norm: 5.3080 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6836 loss: 0.6836 2022/08/05 04:54:19 - mmengine - INFO - Epoch(train) [65][540/940] lr: 1.0000e-03 eta: 5:51:34 time: 0.6079 data_time: 0.0337 memory: 24011 grad_norm: 4.9806 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5776 loss: 0.5776 2022/08/05 04:54:31 - mmengine - INFO - Epoch(train) [65][560/940] lr: 1.0000e-03 eta: 5:51:21 time: 0.6037 data_time: 0.0304 memory: 24011 grad_norm: 5.1149 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6112 loss: 0.6112 2022/08/05 04:54:44 - mmengine - INFO - Epoch(train) [65][580/940] lr: 1.0000e-03 eta: 5:51:09 time: 0.6464 data_time: 0.0360 memory: 24011 grad_norm: 5.1693 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6402 loss: 0.6402 2022/08/05 04:54:56 - mmengine - INFO - Epoch(train) [65][600/940] lr: 1.0000e-03 eta: 5:50:56 time: 0.6146 data_time: 0.0297 memory: 24011 grad_norm: 4.8450 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6559 loss: 0.6559 2022/08/05 04:55:09 - mmengine - INFO - Epoch(train) [65][620/940] lr: 1.0000e-03 eta: 5:50:43 time: 0.6675 data_time: 0.0847 memory: 24011 grad_norm: 4.8558 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5478 loss: 0.5478 2022/08/05 04:55:22 - mmengine - INFO - Epoch(train) [65][640/940] lr: 1.0000e-03 eta: 5:50:31 time: 0.6289 data_time: 0.0601 memory: 24011 grad_norm: 5.6578 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7872 loss: 0.7872 2022/08/05 04:55:34 - mmengine - INFO - Epoch(train) [65][660/940] lr: 1.0000e-03 eta: 5:50:18 time: 0.6160 data_time: 0.0362 memory: 24011 grad_norm: 4.9370 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6283 loss: 0.6283 2022/08/05 04:55:47 - mmengine - INFO - Epoch(train) [65][680/940] lr: 1.0000e-03 eta: 5:50:05 time: 0.6087 data_time: 0.0323 memory: 24011 grad_norm: 5.1175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6562 loss: 0.6562 2022/08/05 04:55:59 - mmengine - INFO - Epoch(train) [65][700/940] lr: 1.0000e-03 eta: 5:49:52 time: 0.6016 data_time: 0.0361 memory: 24011 grad_norm: 4.9140 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5788 loss: 0.5788 2022/08/05 04:56:11 - mmengine - INFO - Epoch(train) [65][720/940] lr: 1.0000e-03 eta: 5:49:39 time: 0.6442 data_time: 0.0834 memory: 24011 grad_norm: 5.2674 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6082 loss: 0.6082 2022/08/05 04:56:25 - mmengine - INFO - Epoch(train) [65][740/940] lr: 1.0000e-03 eta: 5:49:27 time: 0.6543 data_time: 0.0925 memory: 24011 grad_norm: 5.2837 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6833 loss: 0.6833 2022/08/05 04:56:36 - mmengine - INFO - Epoch(train) [65][760/940] lr: 1.0000e-03 eta: 5:49:14 time: 0.5849 data_time: 0.0251 memory: 24011 grad_norm: 4.9910 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6682 loss: 0.6682 2022/08/05 04:56:50 - mmengine - INFO - Epoch(train) [65][780/940] lr: 1.0000e-03 eta: 5:49:01 time: 0.6630 data_time: 0.0986 memory: 24011 grad_norm: 4.8883 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6492 loss: 0.6492 2022/08/05 04:57:02 - mmengine - INFO - Epoch(train) [65][800/940] lr: 1.0000e-03 eta: 5:48:48 time: 0.6145 data_time: 0.0354 memory: 24011 grad_norm: 5.0751 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6544 loss: 0.6544 2022/08/05 04:57:14 - mmengine - INFO - Epoch(train) [65][820/940] lr: 1.0000e-03 eta: 5:48:36 time: 0.6205 data_time: 0.0343 memory: 24011 grad_norm: 5.1663 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6887 loss: 0.6887 2022/08/05 04:57:26 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:57:26 - mmengine - INFO - Epoch(train) [65][840/940] lr: 1.0000e-03 eta: 5:48:23 time: 0.6044 data_time: 0.0307 memory: 24011 grad_norm: 5.0477 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6136 loss: 0.6136 2022/08/05 04:57:40 - mmengine - INFO - Epoch(train) [65][860/940] lr: 1.0000e-03 eta: 5:48:10 time: 0.6598 data_time: 0.0372 memory: 24011 grad_norm: 5.1954 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6126 loss: 0.6126 2022/08/05 04:57:53 - mmengine - INFO - Epoch(train) [65][880/940] lr: 1.0000e-03 eta: 5:47:58 time: 0.6517 data_time: 0.0351 memory: 24011 grad_norm: 5.0457 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6996 loss: 0.6996 2022/08/05 04:58:05 - mmengine - INFO - Epoch(train) [65][900/940] lr: 1.0000e-03 eta: 5:47:45 time: 0.6230 data_time: 0.0371 memory: 24011 grad_norm: 5.6263 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6216 loss: 0.6216 2022/08/05 04:58:17 - mmengine - INFO - Epoch(train) [65][920/940] lr: 1.0000e-03 eta: 5:47:32 time: 0.5962 data_time: 0.0347 memory: 24011 grad_norm: 4.7759 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6066 loss: 0.6066 2022/08/05 04:58:28 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 04:58:28 - mmengine - INFO - Epoch(train) [65][940/940] lr: 1.0000e-03 eta: 5:47:18 time: 0.5454 data_time: 0.0317 memory: 24011 grad_norm: 5.8275 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.6071 loss: 0.6071 2022/08/05 04:58:41 - mmengine - INFO - Epoch(val) [65][20/78] eta: 0:00:39 time: 0.6778 data_time: 0.5201 memory: 3625 2022/08/05 04:58:50 - mmengine - INFO - Epoch(val) [65][40/78] eta: 0:00:16 time: 0.4352 data_time: 0.2800 memory: 3625 2022/08/05 04:59:02 - mmengine - INFO - Epoch(val) [65][60/78] eta: 0:00:11 time: 0.6120 data_time: 0.4583 memory: 3625 2022/08/05 04:59:13 - mmengine - INFO - Epoch(val) [65][78/78] acc/top1: 0.7411 acc/top5: 0.9074 acc/mean1: 0.7409 2022/08/05 04:59:31 - mmengine - INFO - Epoch(train) [66][20/940] lr: 1.0000e-03 eta: 5:47:08 time: 0.8868 data_time: 0.3283 memory: 24011 grad_norm: 5.3752 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7219 loss: 0.7219 2022/08/05 04:59:43 - mmengine - INFO - Epoch(train) [66][40/940] lr: 1.0000e-03 eta: 5:46:56 time: 0.6097 data_time: 0.0588 memory: 24011 grad_norm: 4.8471 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5268 loss: 0.5268 2022/08/05 04:59:56 - mmengine - INFO - Epoch(train) [66][60/940] lr: 1.0000e-03 eta: 5:46:43 time: 0.6542 data_time: 0.0637 memory: 24011 grad_norm: 4.8284 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6205 loss: 0.6205 2022/08/05 05:00:09 - mmengine - INFO - Epoch(train) [66][80/940] lr: 1.0000e-03 eta: 5:46:30 time: 0.6307 data_time: 0.0291 memory: 24011 grad_norm: 5.6863 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6725 loss: 0.6725 2022/08/05 05:00:21 - mmengine - INFO - Epoch(train) [66][100/940] lr: 1.0000e-03 eta: 5:46:18 time: 0.6207 data_time: 0.0535 memory: 24011 grad_norm: 5.0246 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6096 loss: 0.6096 2022/08/05 05:00:33 - mmengine - INFO - Epoch(train) [66][120/940] lr: 1.0000e-03 eta: 5:46:05 time: 0.6152 data_time: 0.0720 memory: 24011 grad_norm: 4.7628 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5335 loss: 0.5335 2022/08/05 05:00:46 - mmengine - INFO - Epoch(train) [66][140/940] lr: 1.0000e-03 eta: 5:45:52 time: 0.6451 data_time: 0.0360 memory: 24011 grad_norm: 5.1386 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6149 loss: 0.6149 2022/08/05 05:00:59 - mmengine - INFO - Epoch(train) [66][160/940] lr: 1.0000e-03 eta: 5:45:39 time: 0.6183 data_time: 0.0341 memory: 24011 grad_norm: 5.1503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5925 loss: 0.5925 2022/08/05 05:01:12 - mmengine - INFO - Epoch(train) [66][180/940] lr: 1.0000e-03 eta: 5:45:27 time: 0.6740 data_time: 0.0349 memory: 24011 grad_norm: 7.9551 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6311 loss: 0.6311 2022/08/05 05:01:24 - mmengine - INFO - Epoch(train) [66][200/940] lr: 1.0000e-03 eta: 5:45:14 time: 0.5796 data_time: 0.0297 memory: 24011 grad_norm: 5.8354 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6707 loss: 0.6707 2022/08/05 05:01:36 - mmengine - INFO - Epoch(train) [66][220/940] lr: 1.0000e-03 eta: 5:45:01 time: 0.6262 data_time: 0.0386 memory: 24011 grad_norm: 5.1089 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7581 loss: 0.7581 2022/08/05 05:01:49 - mmengine - INFO - Epoch(train) [66][240/940] lr: 1.0000e-03 eta: 5:44:49 time: 0.6440 data_time: 0.0311 memory: 24011 grad_norm: 5.1867 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5314 loss: 0.5314 2022/08/05 05:02:02 - mmengine - INFO - Epoch(train) [66][260/940] lr: 1.0000e-03 eta: 5:44:36 time: 0.6398 data_time: 0.0358 memory: 24011 grad_norm: 5.5441 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5684 loss: 0.5684 2022/08/05 05:02:14 - mmengine - INFO - Epoch(train) [66][280/940] lr: 1.0000e-03 eta: 5:44:23 time: 0.6232 data_time: 0.0290 memory: 24011 grad_norm: 5.0997 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5883 loss: 0.5883 2022/08/05 05:02:26 - mmengine - INFO - Epoch(train) [66][300/940] lr: 1.0000e-03 eta: 5:44:10 time: 0.6001 data_time: 0.0342 memory: 24011 grad_norm: 5.2769 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5971 loss: 0.5971 2022/08/05 05:02:39 - mmengine - INFO - Epoch(train) [66][320/940] lr: 1.0000e-03 eta: 5:43:57 time: 0.6065 data_time: 0.0341 memory: 24011 grad_norm: 5.0166 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5620 loss: 0.5620 2022/08/05 05:02:52 - mmengine - INFO - Epoch(train) [66][340/940] lr: 1.0000e-03 eta: 5:43:45 time: 0.6756 data_time: 0.1173 memory: 24011 grad_norm: 5.3542 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5699 loss: 0.5699 2022/08/05 05:03:05 - mmengine - INFO - Epoch(train) [66][360/940] lr: 1.0000e-03 eta: 5:43:32 time: 0.6178 data_time: 0.0355 memory: 24011 grad_norm: 5.3110 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6436 loss: 0.6436 2022/08/05 05:03:18 - mmengine - INFO - Epoch(train) [66][380/940] lr: 1.0000e-03 eta: 5:43:20 time: 0.6694 data_time: 0.1004 memory: 24011 grad_norm: 5.3203 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6308 loss: 0.6308 2022/08/05 05:03:30 - mmengine - INFO - Epoch(train) [66][400/940] lr: 1.0000e-03 eta: 5:43:07 time: 0.6222 data_time: 0.0475 memory: 24011 grad_norm: 4.9137 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.5592 loss: 0.5592 2022/08/05 05:03:43 - mmengine - INFO - Epoch(train) [66][420/940] lr: 1.0000e-03 eta: 5:42:54 time: 0.6194 data_time: 0.0657 memory: 24011 grad_norm: 4.8913 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5713 loss: 0.5713 2022/08/05 05:03:54 - mmengine - INFO - Epoch(train) [66][440/940] lr: 1.0000e-03 eta: 5:42:41 time: 0.5820 data_time: 0.0285 memory: 24011 grad_norm: 5.2425 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5905 loss: 0.5905 2022/08/05 05:04:07 - mmengine - INFO - Epoch(train) [66][460/940] lr: 1.0000e-03 eta: 5:42:28 time: 0.6443 data_time: 0.0814 memory: 24011 grad_norm: 5.0604 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6495 loss: 0.6495 2022/08/05 05:04:21 - mmengine - INFO - Epoch(train) [66][480/940] lr: 1.0000e-03 eta: 5:42:16 time: 0.6694 data_time: 0.0929 memory: 24011 grad_norm: 5.0537 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7309 loss: 0.7309 2022/08/05 05:04:32 - mmengine - INFO - Epoch(train) [66][500/940] lr: 1.0000e-03 eta: 5:42:03 time: 0.5848 data_time: 0.0328 memory: 24011 grad_norm: 5.8245 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7152 loss: 0.7152 2022/08/05 05:04:44 - mmengine - INFO - Epoch(train) [66][520/940] lr: 1.0000e-03 eta: 5:41:50 time: 0.5930 data_time: 0.0306 memory: 24011 grad_norm: 5.0766 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5835 loss: 0.5835 2022/08/05 05:04:57 - mmengine - INFO - Epoch(train) [66][540/940] lr: 1.0000e-03 eta: 5:41:37 time: 0.6135 data_time: 0.0454 memory: 24011 grad_norm: 5.0581 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6693 loss: 0.6693 2022/08/05 05:05:09 - mmengine - INFO - Epoch(train) [66][560/940] lr: 1.0000e-03 eta: 5:41:24 time: 0.6140 data_time: 0.0607 memory: 24011 grad_norm: 5.0475 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5611 loss: 0.5611 2022/08/05 05:05:22 - mmengine - INFO - Epoch(train) [66][580/940] lr: 1.0000e-03 eta: 5:41:12 time: 0.6486 data_time: 0.0658 memory: 24011 grad_norm: 5.0194 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6486 loss: 0.6486 2022/08/05 05:05:34 - mmengine - INFO - Epoch(train) [66][600/940] lr: 1.0000e-03 eta: 5:40:59 time: 0.6061 data_time: 0.0306 memory: 24011 grad_norm: 5.1163 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6529 loss: 0.6529 2022/08/05 05:05:46 - mmengine - INFO - Epoch(train) [66][620/940] lr: 1.0000e-03 eta: 5:40:46 time: 0.6168 data_time: 0.0346 memory: 24011 grad_norm: 4.9867 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6268 loss: 0.6268 2022/08/05 05:05:58 - mmengine - INFO - Epoch(train) [66][640/940] lr: 1.0000e-03 eta: 5:40:33 time: 0.6016 data_time: 0.0362 memory: 24011 grad_norm: 5.1259 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5107 loss: 0.5107 2022/08/05 05:06:11 - mmengine - INFO - Epoch(train) [66][660/940] lr: 1.0000e-03 eta: 5:40:20 time: 0.6410 data_time: 0.0513 memory: 24011 grad_norm: 5.1478 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6550 loss: 0.6550 2022/08/05 05:06:23 - mmengine - INFO - Epoch(train) [66][680/940] lr: 1.0000e-03 eta: 5:40:07 time: 0.6051 data_time: 0.0316 memory: 24011 grad_norm: 5.1003 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6376 loss: 0.6376 2022/08/05 05:06:36 - mmengine - INFO - Epoch(train) [66][700/940] lr: 1.0000e-03 eta: 5:39:55 time: 0.6251 data_time: 0.0370 memory: 24011 grad_norm: 5.1081 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5812 loss: 0.5812 2022/08/05 05:06:49 - mmengine - INFO - Epoch(train) [66][720/940] lr: 1.0000e-03 eta: 5:39:42 time: 0.6453 data_time: 0.0298 memory: 24011 grad_norm: 5.3157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6415 loss: 0.6415 2022/08/05 05:07:02 - mmengine - INFO - Epoch(train) [66][740/940] lr: 1.0000e-03 eta: 5:39:30 time: 0.6536 data_time: 0.0361 memory: 24011 grad_norm: 5.2438 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6676 loss: 0.6676 2022/08/05 05:07:14 - mmengine - INFO - Epoch(train) [66][760/940] lr: 1.0000e-03 eta: 5:39:17 time: 0.6046 data_time: 0.0350 memory: 24011 grad_norm: 5.5994 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5930 loss: 0.5930 2022/08/05 05:07:26 - mmengine - INFO - Epoch(train) [66][780/940] lr: 1.0000e-03 eta: 5:39:04 time: 0.6324 data_time: 0.0370 memory: 24011 grad_norm: 8.3812 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6681 loss: 0.6681 2022/08/05 05:07:38 - mmengine - INFO - Epoch(train) [66][800/940] lr: 1.0000e-03 eta: 5:38:51 time: 0.5829 data_time: 0.0379 memory: 24011 grad_norm: 5.3242 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5882 loss: 0.5882 2022/08/05 05:07:51 - mmengine - INFO - Epoch(train) [66][820/940] lr: 1.0000e-03 eta: 5:38:38 time: 0.6388 data_time: 0.0326 memory: 24011 grad_norm: 5.1773 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5951 loss: 0.5951 2022/08/05 05:08:03 - mmengine - INFO - Epoch(train) [66][840/940] lr: 1.0000e-03 eta: 5:38:25 time: 0.5962 data_time: 0.0430 memory: 24011 grad_norm: 4.9894 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6703 loss: 0.6703 2022/08/05 05:08:15 - mmengine - INFO - Epoch(train) [66][860/940] lr: 1.0000e-03 eta: 5:38:12 time: 0.6226 data_time: 0.0347 memory: 24011 grad_norm: 5.4780 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6349 loss: 0.6349 2022/08/05 05:08:28 - mmengine - INFO - Epoch(train) [66][880/940] lr: 1.0000e-03 eta: 5:38:00 time: 0.6552 data_time: 0.0390 memory: 24011 grad_norm: 4.9048 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7447 loss: 0.7447 2022/08/05 05:08:41 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:08:41 - mmengine - INFO - Epoch(train) [66][900/940] lr: 1.0000e-03 eta: 5:37:47 time: 0.6094 data_time: 0.0346 memory: 24011 grad_norm: 5.5167 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6335 loss: 0.6335 2022/08/05 05:08:53 - mmengine - INFO - Epoch(train) [66][920/940] lr: 1.0000e-03 eta: 5:37:34 time: 0.6254 data_time: 0.0378 memory: 24011 grad_norm: 4.8127 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6553 loss: 0.6553 2022/08/05 05:09:05 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:09:05 - mmengine - INFO - Epoch(train) [66][940/940] lr: 1.0000e-03 eta: 5:37:21 time: 0.5695 data_time: 0.0229 memory: 24011 grad_norm: 5.2472 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.6412 loss: 0.6412 2022/08/05 05:09:05 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/08/05 05:09:23 - mmengine - INFO - Epoch(val) [66][20/78] eta: 0:00:38 time: 0.6720 data_time: 0.5196 memory: 3625 2022/08/05 05:09:32 - mmengine - INFO - Epoch(val) [66][40/78] eta: 0:00:16 time: 0.4439 data_time: 0.2929 memory: 3625 2022/08/05 05:09:44 - mmengine - INFO - Epoch(val) [66][60/78] eta: 0:00:10 time: 0.5992 data_time: 0.4482 memory: 3625 2022/08/05 05:09:53 - mmengine - INFO - Epoch(val) [66][78/78] acc/top1: 0.7400 acc/top5: 0.9080 acc/mean1: 0.7398 2022/08/05 05:10:11 - mmengine - INFO - Epoch(train) [67][20/940] lr: 1.0000e-03 eta: 5:37:10 time: 0.8554 data_time: 0.2365 memory: 24011 grad_norm: 4.9418 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5326 loss: 0.5326 2022/08/05 05:10:23 - mmengine - INFO - Epoch(train) [67][40/940] lr: 1.0000e-03 eta: 5:36:58 time: 0.6306 data_time: 0.0346 memory: 24011 grad_norm: 5.2409 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5597 loss: 0.5597 2022/08/05 05:10:36 - mmengine - INFO - Epoch(train) [67][60/940] lr: 1.0000e-03 eta: 5:36:45 time: 0.6288 data_time: 0.0387 memory: 24011 grad_norm: 5.2711 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.6116 loss: 0.6116 2022/08/05 05:10:49 - mmengine - INFO - Epoch(train) [67][80/940] lr: 1.0000e-03 eta: 5:36:32 time: 0.6284 data_time: 0.0364 memory: 24011 grad_norm: 5.1105 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5829 loss: 0.5829 2022/08/05 05:11:01 - mmengine - INFO - Epoch(train) [67][100/940] lr: 1.0000e-03 eta: 5:36:20 time: 0.6400 data_time: 0.0735 memory: 24011 grad_norm: 5.0700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5401 loss: 0.5401 2022/08/05 05:11:14 - mmengine - INFO - Epoch(train) [67][120/940] lr: 1.0000e-03 eta: 5:36:07 time: 0.6559 data_time: 0.0939 memory: 24011 grad_norm: 5.4257 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6115 loss: 0.6115 2022/08/05 05:11:27 - mmengine - INFO - Epoch(train) [67][140/940] lr: 1.0000e-03 eta: 5:35:55 time: 0.6389 data_time: 0.0893 memory: 24011 grad_norm: 5.4621 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5772 loss: 0.5772 2022/08/05 05:11:39 - mmengine - INFO - Epoch(train) [67][160/940] lr: 1.0000e-03 eta: 5:35:42 time: 0.5926 data_time: 0.0290 memory: 24011 grad_norm: 4.9010 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5530 loss: 0.5530 2022/08/05 05:11:52 - mmengine - INFO - Epoch(train) [67][180/940] lr: 1.0000e-03 eta: 5:35:29 time: 0.6411 data_time: 0.0831 memory: 24011 grad_norm: 4.9598 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5367 loss: 0.5367 2022/08/05 05:12:04 - mmengine - INFO - Epoch(train) [67][200/940] lr: 1.0000e-03 eta: 5:35:16 time: 0.6035 data_time: 0.0374 memory: 24011 grad_norm: 5.0672 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6098 loss: 0.6098 2022/08/05 05:12:16 - mmengine - INFO - Epoch(train) [67][220/940] lr: 1.0000e-03 eta: 5:35:03 time: 0.6225 data_time: 0.0593 memory: 24011 grad_norm: 4.9173 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6083 loss: 0.6083 2022/08/05 05:12:29 - mmengine - INFO - Epoch(train) [67][240/940] lr: 1.0000e-03 eta: 5:34:50 time: 0.6132 data_time: 0.0376 memory: 24011 grad_norm: 5.1448 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6240 loss: 0.6240 2022/08/05 05:12:41 - mmengine - INFO - Epoch(train) [67][260/940] lr: 1.0000e-03 eta: 5:34:37 time: 0.6133 data_time: 0.0523 memory: 24011 grad_norm: 5.4298 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5764 loss: 0.5764 2022/08/05 05:12:53 - mmengine - INFO - Epoch(train) [67][280/940] lr: 1.0000e-03 eta: 5:34:25 time: 0.6246 data_time: 0.0631 memory: 24011 grad_norm: 5.1090 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6579 loss: 0.6579 2022/08/05 05:13:07 - mmengine - INFO - Epoch(train) [67][300/940] lr: 1.0000e-03 eta: 5:34:12 time: 0.6730 data_time: 0.1040 memory: 24011 grad_norm: 5.1123 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6508 loss: 0.6508 2022/08/05 05:13:20 - mmengine - INFO - Epoch(train) [67][320/940] lr: 1.0000e-03 eta: 5:34:00 time: 0.6342 data_time: 0.0745 memory: 24011 grad_norm: 5.0288 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5370 loss: 0.5370 2022/08/05 05:13:32 - mmengine - INFO - Epoch(train) [67][340/940] lr: 1.0000e-03 eta: 5:33:47 time: 0.6168 data_time: 0.0665 memory: 24011 grad_norm: 5.4670 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5489 loss: 0.5489 2022/08/05 05:13:45 - mmengine - INFO - Epoch(train) [67][360/940] lr: 1.0000e-03 eta: 5:33:34 time: 0.6247 data_time: 0.0320 memory: 24011 grad_norm: 5.9232 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.7008 loss: 0.7008 2022/08/05 05:13:56 - mmengine - INFO - Epoch(train) [67][380/940] lr: 1.0000e-03 eta: 5:33:21 time: 0.5855 data_time: 0.0351 memory: 24011 grad_norm: 5.0616 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7108 loss: 0.7108 2022/08/05 05:14:08 - mmengine - INFO - Epoch(train) [67][400/940] lr: 1.0000e-03 eta: 5:33:08 time: 0.5849 data_time: 0.0367 memory: 24011 grad_norm: 4.8815 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6355 loss: 0.6355 2022/08/05 05:14:21 - mmengine - INFO - Epoch(train) [67][420/940] lr: 1.0000e-03 eta: 5:32:55 time: 0.6369 data_time: 0.0609 memory: 24011 grad_norm: 5.2608 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6070 loss: 0.6070 2022/08/05 05:14:33 - mmengine - INFO - Epoch(train) [67][440/940] lr: 1.0000e-03 eta: 5:32:43 time: 0.6311 data_time: 0.0516 memory: 24011 grad_norm: 5.1316 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6635 loss: 0.6635 2022/08/05 05:14:49 - mmengine - INFO - Epoch(train) [67][460/940] lr: 1.0000e-03 eta: 5:32:31 time: 0.7905 data_time: 0.0411 memory: 24011 grad_norm: 5.5474 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.7150 loss: 0.7150 2022/08/05 05:15:01 - mmengine - INFO - Epoch(train) [67][480/940] lr: 1.0000e-03 eta: 5:32:19 time: 0.6018 data_time: 0.0346 memory: 24011 grad_norm: 5.0179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6423 loss: 0.6423 2022/08/05 05:15:14 - mmengine - INFO - Epoch(train) [67][500/940] lr: 1.0000e-03 eta: 5:32:06 time: 0.6452 data_time: 0.0414 memory: 24011 grad_norm: 5.4603 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6031 loss: 0.6031 2022/08/05 05:15:27 - mmengine - INFO - Epoch(train) [67][520/940] lr: 1.0000e-03 eta: 5:31:53 time: 0.6500 data_time: 0.0315 memory: 24011 grad_norm: 5.2375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6376 loss: 0.6376 2022/08/05 05:15:40 - mmengine - INFO - Epoch(train) [67][540/940] lr: 1.0000e-03 eta: 5:31:41 time: 0.6365 data_time: 0.0435 memory: 24011 grad_norm: 5.3674 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5583 loss: 0.5583 2022/08/05 05:15:52 - mmengine - INFO - Epoch(train) [67][560/940] lr: 1.0000e-03 eta: 5:31:28 time: 0.6189 data_time: 0.0587 memory: 24011 grad_norm: 5.3304 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6108 loss: 0.6108 2022/08/05 05:16:04 - mmengine - INFO - Epoch(train) [67][580/940] lr: 1.0000e-03 eta: 5:31:15 time: 0.5940 data_time: 0.0377 memory: 24011 grad_norm: 4.9946 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.5371 loss: 0.5371 2022/08/05 05:16:16 - mmengine - INFO - Epoch(train) [67][600/940] lr: 1.0000e-03 eta: 5:31:02 time: 0.5825 data_time: 0.0358 memory: 24011 grad_norm: 5.2772 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6100 loss: 0.6100 2022/08/05 05:16:27 - mmengine - INFO - Epoch(train) [67][620/940] lr: 1.0000e-03 eta: 5:30:49 time: 0.5856 data_time: 0.0343 memory: 24011 grad_norm: 5.2416 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6304 loss: 0.6304 2022/08/05 05:16:40 - mmengine - INFO - Epoch(train) [67][640/940] lr: 1.0000e-03 eta: 5:30:36 time: 0.6434 data_time: 0.0877 memory: 24011 grad_norm: 5.0656 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7224 loss: 0.7224 2022/08/05 05:16:52 - mmengine - INFO - Epoch(train) [67][660/940] lr: 1.0000e-03 eta: 5:30:23 time: 0.5956 data_time: 0.0471 memory: 24011 grad_norm: 5.2323 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6117 loss: 0.6117 2022/08/05 05:17:05 - mmengine - INFO - Epoch(train) [67][680/940] lr: 1.0000e-03 eta: 5:30:10 time: 0.6283 data_time: 0.0839 memory: 24011 grad_norm: 5.3204 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6578 loss: 0.6578 2022/08/05 05:17:18 - mmengine - INFO - Epoch(train) [67][700/940] lr: 1.0000e-03 eta: 5:29:58 time: 0.6623 data_time: 0.1177 memory: 24011 grad_norm: 5.4782 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6198 loss: 0.6198 2022/08/05 05:17:30 - mmengine - INFO - Epoch(train) [67][720/940] lr: 1.0000e-03 eta: 5:29:45 time: 0.6181 data_time: 0.0631 memory: 24011 grad_norm: 5.3530 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5949 loss: 0.5949 2022/08/05 05:17:43 - mmengine - INFO - Epoch(train) [67][740/940] lr: 1.0000e-03 eta: 5:29:32 time: 0.6171 data_time: 0.0596 memory: 24011 grad_norm: 5.0370 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6618 loss: 0.6618 2022/08/05 05:17:55 - mmengine - INFO - Epoch(train) [67][760/940] lr: 1.0000e-03 eta: 5:29:19 time: 0.6192 data_time: 0.0789 memory: 24011 grad_norm: 5.1957 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6301 loss: 0.6301 2022/08/05 05:18:08 - mmengine - INFO - Epoch(train) [67][780/940] lr: 1.0000e-03 eta: 5:29:07 time: 0.6556 data_time: 0.1146 memory: 24011 grad_norm: 5.1634 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6292 loss: 0.6292 2022/08/05 05:18:20 - mmengine - INFO - Epoch(train) [67][800/940] lr: 1.0000e-03 eta: 5:28:54 time: 0.6082 data_time: 0.0546 memory: 24011 grad_norm: 4.9096 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5814 loss: 0.5814 2022/08/05 05:18:33 - mmengine - INFO - Epoch(train) [67][820/940] lr: 1.0000e-03 eta: 5:28:42 time: 0.6452 data_time: 0.0633 memory: 24011 grad_norm: 4.9370 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5778 loss: 0.5778 2022/08/05 05:18:46 - mmengine - INFO - Epoch(train) [67][840/940] lr: 1.0000e-03 eta: 5:28:29 time: 0.6091 data_time: 0.0464 memory: 24011 grad_norm: 5.1164 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6293 loss: 0.6293 2022/08/05 05:18:59 - mmengine - INFO - Epoch(train) [67][860/940] lr: 1.0000e-03 eta: 5:28:16 time: 0.6586 data_time: 0.1038 memory: 24011 grad_norm: 5.1721 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6237 loss: 0.6237 2022/08/05 05:19:11 - mmengine - INFO - Epoch(train) [67][880/940] lr: 1.0000e-03 eta: 5:28:03 time: 0.6087 data_time: 0.0521 memory: 24011 grad_norm: 5.4037 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6638 loss: 0.6638 2022/08/05 05:19:23 - mmengine - INFO - Epoch(train) [67][900/940] lr: 1.0000e-03 eta: 5:27:50 time: 0.5985 data_time: 0.0399 memory: 24011 grad_norm: 4.9978 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6023 loss: 0.6023 2022/08/05 05:19:35 - mmengine - INFO - Epoch(train) [67][920/940] lr: 1.0000e-03 eta: 5:27:38 time: 0.6290 data_time: 0.0358 memory: 24011 grad_norm: 5.7276 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6743 loss: 0.6743 2022/08/05 05:19:47 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:19:47 - mmengine - INFO - Epoch(train) [67][940/940] lr: 1.0000e-03 eta: 5:27:24 time: 0.5540 data_time: 0.0246 memory: 24011 grad_norm: 5.6008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6123 loss: 0.6123 2022/08/05 05:20:00 - mmengine - INFO - Epoch(val) [67][20/78] eta: 0:00:38 time: 0.6691 data_time: 0.5060 memory: 3625 2022/08/05 05:20:09 - mmengine - INFO - Epoch(val) [67][40/78] eta: 0:00:16 time: 0.4381 data_time: 0.2843 memory: 3625 2022/08/05 05:20:21 - mmengine - INFO - Epoch(val) [67][60/78] eta: 0:00:11 time: 0.6152 data_time: 0.4623 memory: 3625 2022/08/05 05:20:32 - mmengine - INFO - Epoch(val) [67][78/78] acc/top1: 0.7370 acc/top5: 0.9077 acc/mean1: 0.7368 2022/08/05 05:20:49 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:20:49 - mmengine - INFO - Epoch(train) [68][20/940] lr: 1.0000e-03 eta: 5:27:14 time: 0.8415 data_time: 0.2473 memory: 24011 grad_norm: 5.1253 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.6047 loss: 0.6047 2022/08/05 05:21:02 - mmengine - INFO - Epoch(train) [68][40/940] lr: 1.0000e-03 eta: 5:27:01 time: 0.6681 data_time: 0.0333 memory: 24011 grad_norm: 5.4164 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6099 loss: 0.6099 2022/08/05 05:21:16 - mmengine - INFO - Epoch(train) [68][60/940] lr: 1.0000e-03 eta: 5:26:49 time: 0.6893 data_time: 0.0366 memory: 24011 grad_norm: 5.3552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6186 loss: 0.6186 2022/08/05 05:21:28 - mmengine - INFO - Epoch(train) [68][80/940] lr: 1.0000e-03 eta: 5:26:36 time: 0.5932 data_time: 0.0281 memory: 24011 grad_norm: 5.2843 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6678 loss: 0.6678 2022/08/05 05:21:40 - mmengine - INFO - Epoch(train) [68][100/940] lr: 1.0000e-03 eta: 5:26:23 time: 0.5923 data_time: 0.0406 memory: 24011 grad_norm: 5.1309 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5638 loss: 0.5638 2022/08/05 05:21:52 - mmengine - INFO - Epoch(train) [68][120/940] lr: 1.0000e-03 eta: 5:26:10 time: 0.6196 data_time: 0.0540 memory: 24011 grad_norm: 5.2485 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7031 loss: 0.7031 2022/08/05 05:22:05 - mmengine - INFO - Epoch(train) [68][140/940] lr: 1.0000e-03 eta: 5:25:58 time: 0.6545 data_time: 0.1021 memory: 24011 grad_norm: 5.1337 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5633 loss: 0.5633 2022/08/05 05:22:17 - mmengine - INFO - Epoch(train) [68][160/940] lr: 1.0000e-03 eta: 5:25:45 time: 0.6031 data_time: 0.0376 memory: 24011 grad_norm: 5.2129 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6558 loss: 0.6558 2022/08/05 05:22:30 - mmengine - INFO - Epoch(train) [68][180/940] lr: 1.0000e-03 eta: 5:25:32 time: 0.6370 data_time: 0.0857 memory: 24011 grad_norm: 5.1052 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6676 loss: 0.6676 2022/08/05 05:22:42 - mmengine - INFO - Epoch(train) [68][200/940] lr: 1.0000e-03 eta: 5:25:19 time: 0.6122 data_time: 0.0594 memory: 24011 grad_norm: 5.0380 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5941 loss: 0.5941 2022/08/05 05:22:54 - mmengine - INFO - Epoch(train) [68][220/940] lr: 1.0000e-03 eta: 5:25:06 time: 0.6020 data_time: 0.0347 memory: 24011 grad_norm: 5.1432 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6029 loss: 0.6029 2022/08/05 05:23:06 - mmengine - INFO - Epoch(train) [68][240/940] lr: 1.0000e-03 eta: 5:24:53 time: 0.6150 data_time: 0.0345 memory: 24011 grad_norm: 5.5652 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5582 loss: 0.5582 2022/08/05 05:23:20 - mmengine - INFO - Epoch(train) [68][260/940] lr: 1.0000e-03 eta: 5:24:41 time: 0.6698 data_time: 0.0366 memory: 24011 grad_norm: 5.3518 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6616 loss: 0.6616 2022/08/05 05:23:32 - mmengine - INFO - Epoch(train) [68][280/940] lr: 1.0000e-03 eta: 5:24:28 time: 0.6018 data_time: 0.0260 memory: 24011 grad_norm: 10.5447 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6322 loss: 0.6322 2022/08/05 05:23:44 - mmengine - INFO - Epoch(train) [68][300/940] lr: 1.0000e-03 eta: 5:24:15 time: 0.6086 data_time: 0.0386 memory: 24011 grad_norm: 5.2631 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5642 loss: 0.5642 2022/08/05 05:23:56 - mmengine - INFO - Epoch(train) [68][320/940] lr: 1.0000e-03 eta: 5:24:02 time: 0.5940 data_time: 0.0327 memory: 24011 grad_norm: 5.0719 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6713 loss: 0.6713 2022/08/05 05:24:09 - mmengine - INFO - Epoch(train) [68][340/940] lr: 1.0000e-03 eta: 5:23:50 time: 0.6407 data_time: 0.0337 memory: 24011 grad_norm: 4.8370 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6749 loss: 0.6749 2022/08/05 05:24:21 - mmengine - INFO - Epoch(train) [68][360/940] lr: 1.0000e-03 eta: 5:23:37 time: 0.6328 data_time: 0.0303 memory: 24011 grad_norm: 4.9532 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5688 loss: 0.5688 2022/08/05 05:24:34 - mmengine - INFO - Epoch(train) [68][380/940] lr: 1.0000e-03 eta: 5:23:24 time: 0.6090 data_time: 0.0353 memory: 24011 grad_norm: 5.8666 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6312 loss: 0.6312 2022/08/05 05:24:46 - mmengine - INFO - Epoch(train) [68][400/940] lr: 1.0000e-03 eta: 5:23:11 time: 0.6307 data_time: 0.0251 memory: 24011 grad_norm: 5.3996 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6375 loss: 0.6375 2022/08/05 05:24:59 - mmengine - INFO - Epoch(train) [68][420/940] lr: 1.0000e-03 eta: 5:22:59 time: 0.6294 data_time: 0.0347 memory: 24011 grad_norm: 5.2285 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5976 loss: 0.5976 2022/08/05 05:25:12 - mmengine - INFO - Epoch(train) [68][440/940] lr: 1.0000e-03 eta: 5:22:46 time: 0.6414 data_time: 0.0272 memory: 24011 grad_norm: 5.6738 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6200 loss: 0.6200 2022/08/05 05:25:24 - mmengine - INFO - Epoch(train) [68][460/940] lr: 1.0000e-03 eta: 5:22:33 time: 0.6076 data_time: 0.0382 memory: 24011 grad_norm: 4.9596 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6176 loss: 0.6176 2022/08/05 05:25:36 - mmengine - INFO - Epoch(train) [68][480/940] lr: 1.0000e-03 eta: 5:22:20 time: 0.6177 data_time: 0.0457 memory: 24011 grad_norm: 4.6912 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5947 loss: 0.5947 2022/08/05 05:25:49 - mmengine - INFO - Epoch(train) [68][500/940] lr: 1.0000e-03 eta: 5:22:08 time: 0.6518 data_time: 0.0379 memory: 24011 grad_norm: 4.9579 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6812 loss: 0.6812 2022/08/05 05:26:02 - mmengine - INFO - Epoch(train) [68][520/940] lr: 1.0000e-03 eta: 5:21:55 time: 0.6177 data_time: 0.0316 memory: 24011 grad_norm: 5.3297 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6004 loss: 0.6004 2022/08/05 05:26:13 - mmengine - INFO - Epoch(train) [68][540/940] lr: 1.0000e-03 eta: 5:21:42 time: 0.5917 data_time: 0.0344 memory: 24011 grad_norm: 5.6032 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6122 loss: 0.6122 2022/08/05 05:26:25 - mmengine - INFO - Epoch(train) [68][560/940] lr: 1.0000e-03 eta: 5:21:29 time: 0.5890 data_time: 0.0357 memory: 24011 grad_norm: 5.3778 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.7056 loss: 0.7056 2022/08/05 05:26:38 - mmengine - INFO - Epoch(train) [68][580/940] lr: 1.0000e-03 eta: 5:21:16 time: 0.6461 data_time: 0.0344 memory: 24011 grad_norm: 5.1900 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5826 loss: 0.5826 2022/08/05 05:26:50 - mmengine - INFO - Epoch(train) [68][600/940] lr: 1.0000e-03 eta: 5:21:03 time: 0.6045 data_time: 0.0342 memory: 24011 grad_norm: 5.4846 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6393 loss: 0.6393 2022/08/05 05:27:03 - mmengine - INFO - Epoch(train) [68][620/940] lr: 1.0000e-03 eta: 5:20:51 time: 0.6415 data_time: 0.0355 memory: 24011 grad_norm: 4.9985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5624 loss: 0.5624 2022/08/05 05:27:16 - mmengine - INFO - Epoch(train) [68][640/940] lr: 1.0000e-03 eta: 5:20:38 time: 0.6540 data_time: 0.0351 memory: 24011 grad_norm: 5.3200 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5534 loss: 0.5534 2022/08/05 05:27:29 - mmengine - INFO - Epoch(train) [68][660/940] lr: 1.0000e-03 eta: 5:20:25 time: 0.6180 data_time: 0.0370 memory: 24011 grad_norm: 4.9825 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.7010 loss: 0.7010 2022/08/05 05:27:41 - mmengine - INFO - Epoch(train) [68][680/940] lr: 1.0000e-03 eta: 5:20:12 time: 0.5980 data_time: 0.0383 memory: 24011 grad_norm: 5.1085 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5269 loss: 0.5269 2022/08/05 05:27:53 - mmengine - INFO - Epoch(train) [68][700/940] lr: 1.0000e-03 eta: 5:20:00 time: 0.6324 data_time: 0.0365 memory: 24011 grad_norm: 5.2748 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6306 loss: 0.6306 2022/08/05 05:28:05 - mmengine - INFO - Epoch(train) [68][720/940] lr: 1.0000e-03 eta: 5:19:47 time: 0.5836 data_time: 0.0406 memory: 24011 grad_norm: 5.0230 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6365 loss: 0.6365 2022/08/05 05:28:18 - mmengine - INFO - Epoch(train) [68][740/940] lr: 1.0000e-03 eta: 5:19:34 time: 0.6670 data_time: 0.0343 memory: 24011 grad_norm: 4.9734 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5658 loss: 0.5658 2022/08/05 05:28:31 - mmengine - INFO - Epoch(train) [68][760/940] lr: 1.0000e-03 eta: 5:19:22 time: 0.6523 data_time: 0.0418 memory: 24011 grad_norm: 5.2744 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5949 loss: 0.5949 2022/08/05 05:28:43 - mmengine - INFO - Epoch(train) [68][780/940] lr: 1.0000e-03 eta: 5:19:09 time: 0.5950 data_time: 0.0432 memory: 24011 grad_norm: 4.9296 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6258 loss: 0.6258 2022/08/05 05:28:55 - mmengine - INFO - Epoch(train) [68][800/940] lr: 1.0000e-03 eta: 5:18:56 time: 0.6099 data_time: 0.0347 memory: 24011 grad_norm: 4.7619 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6679 loss: 0.6679 2022/08/05 05:29:08 - mmengine - INFO - Epoch(train) [68][820/940] lr: 1.0000e-03 eta: 5:18:43 time: 0.6134 data_time: 0.0337 memory: 24011 grad_norm: 5.1402 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5207 loss: 0.5207 2022/08/05 05:29:20 - mmengine - INFO - Epoch(train) [68][840/940] lr: 1.0000e-03 eta: 5:18:30 time: 0.6271 data_time: 0.0324 memory: 24011 grad_norm: 4.8385 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6477 loss: 0.6477 2022/08/05 05:29:33 - mmengine - INFO - Epoch(train) [68][860/940] lr: 1.0000e-03 eta: 5:18:18 time: 0.6411 data_time: 0.0408 memory: 24011 grad_norm: 5.0572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6242 loss: 0.6242 2022/08/05 05:29:46 - mmengine - INFO - Epoch(train) [68][880/940] lr: 1.0000e-03 eta: 5:18:05 time: 0.6356 data_time: 0.0463 memory: 24011 grad_norm: 5.1274 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6320 loss: 0.6320 2022/08/05 05:29:58 - mmengine - INFO - Epoch(train) [68][900/940] lr: 1.0000e-03 eta: 5:17:52 time: 0.5951 data_time: 0.0413 memory: 24011 grad_norm: 5.1134 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5775 loss: 0.5775 2022/08/05 05:30:10 - mmengine - INFO - Epoch(train) [68][920/940] lr: 1.0000e-03 eta: 5:17:39 time: 0.6168 data_time: 0.0273 memory: 24011 grad_norm: 4.9539 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6577 loss: 0.6577 2022/08/05 05:30:21 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:30:21 - mmengine - INFO - Epoch(train) [68][940/940] lr: 1.0000e-03 eta: 5:17:26 time: 0.5737 data_time: 0.0322 memory: 24011 grad_norm: 5.3279 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6318 loss: 0.6318 2022/08/05 05:30:35 - mmengine - INFO - Epoch(val) [68][20/78] eta: 0:00:38 time: 0.6718 data_time: 0.5154 memory: 3625 2022/08/05 05:30:44 - mmengine - INFO - Epoch(val) [68][40/78] eta: 0:00:16 time: 0.4461 data_time: 0.2925 memory: 3625 2022/08/05 05:30:56 - mmengine - INFO - Epoch(val) [68][60/78] eta: 0:00:11 time: 0.6297 data_time: 0.4728 memory: 3625 2022/08/05 05:31:06 - mmengine - INFO - Epoch(val) [68][78/78] acc/top1: 0.7397 acc/top5: 0.9090 acc/mean1: 0.7396 2022/08/05 05:31:24 - mmengine - INFO - Epoch(train) [69][20/940] lr: 1.0000e-03 eta: 5:17:16 time: 0.8806 data_time: 0.2604 memory: 24011 grad_norm: 5.1784 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6685 loss: 0.6685 2022/08/05 05:31:37 - mmengine - INFO - Epoch(train) [69][40/940] lr: 1.0000e-03 eta: 5:17:03 time: 0.6211 data_time: 0.0322 memory: 24011 grad_norm: 4.9614 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6727 loss: 0.6727 2022/08/05 05:31:49 - mmengine - INFO - Epoch(train) [69][60/940] lr: 1.0000e-03 eta: 5:16:50 time: 0.6102 data_time: 0.0365 memory: 24011 grad_norm: 5.5669 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5491 loss: 0.5491 2022/08/05 05:32:02 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:32:02 - mmengine - INFO - Epoch(train) [69][80/940] lr: 1.0000e-03 eta: 5:16:38 time: 0.6460 data_time: 0.0356 memory: 24011 grad_norm: 5.1059 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6158 loss: 0.6158 2022/08/05 05:32:14 - mmengine - INFO - Epoch(train) [69][100/940] lr: 1.0000e-03 eta: 5:16:25 time: 0.6385 data_time: 0.0321 memory: 24011 grad_norm: 5.0636 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6054 loss: 0.6054 2022/08/05 05:32:27 - mmengine - INFO - Epoch(train) [69][120/940] lr: 1.0000e-03 eta: 5:16:12 time: 0.6181 data_time: 0.0316 memory: 24011 grad_norm: 5.2041 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5673 loss: 0.5673 2022/08/05 05:32:39 - mmengine - INFO - Epoch(train) [69][140/940] lr: 1.0000e-03 eta: 5:15:59 time: 0.6121 data_time: 0.0356 memory: 24011 grad_norm: 5.1636 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.6859 loss: 0.6859 2022/08/05 05:32:51 - mmengine - INFO - Epoch(train) [69][160/940] lr: 1.0000e-03 eta: 5:15:46 time: 0.5980 data_time: 0.0327 memory: 24011 grad_norm: 5.0602 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.6528 loss: 0.6528 2022/08/05 05:33:04 - mmengine - INFO - Epoch(train) [69][180/940] lr: 1.0000e-03 eta: 5:15:34 time: 0.6288 data_time: 0.0414 memory: 24011 grad_norm: 4.8932 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6002 loss: 0.6002 2022/08/05 05:33:17 - mmengine - INFO - Epoch(train) [69][200/940] lr: 1.0000e-03 eta: 5:15:21 time: 0.6631 data_time: 0.0303 memory: 24011 grad_norm: 4.9381 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.5905 loss: 0.5905 2022/08/05 05:33:29 - mmengine - INFO - Epoch(train) [69][220/940] lr: 1.0000e-03 eta: 5:15:08 time: 0.6025 data_time: 0.0404 memory: 24011 grad_norm: 5.8660 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6425 loss: 0.6425 2022/08/05 05:33:42 - mmengine - INFO - Epoch(train) [69][240/940] lr: 1.0000e-03 eta: 5:14:55 time: 0.6311 data_time: 0.0365 memory: 24011 grad_norm: 5.2278 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5752 loss: 0.5752 2022/08/05 05:33:54 - mmengine - INFO - Epoch(train) [69][260/940] lr: 1.0000e-03 eta: 5:14:43 time: 0.6025 data_time: 0.0419 memory: 24011 grad_norm: 5.3193 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5910 loss: 0.5910 2022/08/05 05:34:06 - mmengine - INFO - Epoch(train) [69][280/940] lr: 1.0000e-03 eta: 5:14:30 time: 0.6129 data_time: 0.0368 memory: 24011 grad_norm: 5.5242 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6428 loss: 0.6428 2022/08/05 05:34:19 - mmengine - INFO - Epoch(train) [69][300/940] lr: 1.0000e-03 eta: 5:14:17 time: 0.6574 data_time: 0.0362 memory: 24011 grad_norm: 4.9496 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5737 loss: 0.5737 2022/08/05 05:34:31 - mmengine - INFO - Epoch(train) [69][320/940] lr: 1.0000e-03 eta: 5:14:04 time: 0.5844 data_time: 0.0306 memory: 24011 grad_norm: 4.9677 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6309 loss: 0.6309 2022/08/05 05:34:44 - mmengine - INFO - Epoch(train) [69][340/940] lr: 1.0000e-03 eta: 5:13:52 time: 0.6579 data_time: 0.0423 memory: 24011 grad_norm: 5.7526 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6550 loss: 0.6550 2022/08/05 05:34:56 - mmengine - INFO - Epoch(train) [69][360/940] lr: 1.0000e-03 eta: 5:13:39 time: 0.6111 data_time: 0.0322 memory: 24011 grad_norm: 5.2330 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6702 loss: 0.6702 2022/08/05 05:35:09 - mmengine - INFO - Epoch(train) [69][380/940] lr: 1.0000e-03 eta: 5:13:26 time: 0.6298 data_time: 0.0333 memory: 24011 grad_norm: 5.1229 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6791 loss: 0.6791 2022/08/05 05:35:22 - mmengine - INFO - Epoch(train) [69][400/940] lr: 1.0000e-03 eta: 5:13:14 time: 0.6371 data_time: 0.0343 memory: 24011 grad_norm: 5.2080 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5870 loss: 0.5870 2022/08/05 05:35:34 - mmengine - INFO - Epoch(train) [69][420/940] lr: 1.0000e-03 eta: 5:13:01 time: 0.6218 data_time: 0.0434 memory: 24011 grad_norm: 5.4067 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6867 loss: 0.6867 2022/08/05 05:35:46 - mmengine - INFO - Epoch(train) [69][440/940] lr: 1.0000e-03 eta: 5:12:48 time: 0.6240 data_time: 0.0379 memory: 24011 grad_norm: 4.9367 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6973 loss: 0.6973 2022/08/05 05:35:59 - mmengine - INFO - Epoch(train) [69][460/940] lr: 1.0000e-03 eta: 5:12:35 time: 0.6394 data_time: 0.0358 memory: 24011 grad_norm: 4.9564 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6026 loss: 0.6026 2022/08/05 05:36:12 - mmengine - INFO - Epoch(train) [69][480/940] lr: 1.0000e-03 eta: 5:12:23 time: 0.6166 data_time: 0.0340 memory: 24011 grad_norm: 5.0484 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5748 loss: 0.5748 2022/08/05 05:36:24 - mmengine - INFO - Epoch(train) [69][500/940] lr: 1.0000e-03 eta: 5:12:10 time: 0.6005 data_time: 0.0335 memory: 24011 grad_norm: 5.1566 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.5905 loss: 0.5905 2022/08/05 05:36:36 - mmengine - INFO - Epoch(train) [69][520/940] lr: 1.0000e-03 eta: 5:11:57 time: 0.6152 data_time: 0.0364 memory: 24011 grad_norm: 5.3397 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6079 loss: 0.6079 2022/08/05 05:36:48 - mmengine - INFO - Epoch(train) [69][540/940] lr: 1.0000e-03 eta: 5:11:44 time: 0.6000 data_time: 0.0358 memory: 24011 grad_norm: 4.9637 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5495 loss: 0.5495 2022/08/05 05:37:00 - mmengine - INFO - Epoch(train) [69][560/940] lr: 1.0000e-03 eta: 5:11:31 time: 0.6198 data_time: 0.0356 memory: 24011 grad_norm: 4.9518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6263 loss: 0.6263 2022/08/05 05:37:13 - mmengine - INFO - Epoch(train) [69][580/940] lr: 1.0000e-03 eta: 5:11:18 time: 0.6281 data_time: 0.0336 memory: 24011 grad_norm: 5.0545 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6439 loss: 0.6439 2022/08/05 05:37:25 - mmengine - INFO - Epoch(train) [69][600/940] lr: 1.0000e-03 eta: 5:11:06 time: 0.6277 data_time: 0.0494 memory: 24011 grad_norm: 6.1433 top1_acc: 0.6562 top5_acc: 0.8438 loss_cls: 0.6609 loss: 0.6609 2022/08/05 05:37:38 - mmengine - INFO - Epoch(train) [69][620/940] lr: 1.0000e-03 eta: 5:10:53 time: 0.6229 data_time: 0.0352 memory: 24011 grad_norm: 5.0812 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.5887 loss: 0.5887 2022/08/05 05:37:51 - mmengine - INFO - Epoch(train) [69][640/940] lr: 1.0000e-03 eta: 5:10:40 time: 0.6362 data_time: 0.0408 memory: 24011 grad_norm: 5.4507 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6239 loss: 0.6239 2022/08/05 05:38:03 - mmengine - INFO - Epoch(train) [69][660/940] lr: 1.0000e-03 eta: 5:10:28 time: 0.6338 data_time: 0.0401 memory: 24011 grad_norm: 4.8311 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5762 loss: 0.5762 2022/08/05 05:38:15 - mmengine - INFO - Epoch(train) [69][680/940] lr: 1.0000e-03 eta: 5:10:15 time: 0.5977 data_time: 0.0328 memory: 24011 grad_norm: 5.0278 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6350 loss: 0.6350 2022/08/05 05:38:27 - mmengine - INFO - Epoch(train) [69][700/940] lr: 1.0000e-03 eta: 5:10:02 time: 0.6073 data_time: 0.0346 memory: 24011 grad_norm: 4.7246 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5591 loss: 0.5591 2022/08/05 05:38:41 - mmengine - INFO - Epoch(train) [69][720/940] lr: 1.0000e-03 eta: 5:09:49 time: 0.6669 data_time: 0.0341 memory: 24011 grad_norm: 5.0682 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5670 loss: 0.5670 2022/08/05 05:38:53 - mmengine - INFO - Epoch(train) [69][740/940] lr: 1.0000e-03 eta: 5:09:37 time: 0.6219 data_time: 0.0349 memory: 24011 grad_norm: 4.9818 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5448 loss: 0.5448 2022/08/05 05:39:06 - mmengine - INFO - Epoch(train) [69][760/940] lr: 1.0000e-03 eta: 5:09:24 time: 0.6165 data_time: 0.0352 memory: 24011 grad_norm: 5.4117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6468 loss: 0.6468 2022/08/05 05:39:19 - mmengine - INFO - Epoch(train) [69][780/940] lr: 1.0000e-03 eta: 5:09:12 time: 0.6867 data_time: 0.0314 memory: 24011 grad_norm: 5.0022 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6263 loss: 0.6263 2022/08/05 05:39:31 - mmengine - INFO - Epoch(train) [69][800/940] lr: 1.0000e-03 eta: 5:08:59 time: 0.6032 data_time: 0.0333 memory: 24011 grad_norm: 5.0507 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5981 loss: 0.5981 2022/08/05 05:39:44 - mmengine - INFO - Epoch(train) [69][820/940] lr: 1.0000e-03 eta: 5:08:46 time: 0.6170 data_time: 0.0431 memory: 24011 grad_norm: 5.4812 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6372 loss: 0.6372 2022/08/05 05:39:56 - mmengine - INFO - Epoch(train) [69][840/940] lr: 1.0000e-03 eta: 5:08:33 time: 0.6234 data_time: 0.0365 memory: 24011 grad_norm: 5.4437 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6290 loss: 0.6290 2022/08/05 05:40:09 - mmengine - INFO - Epoch(train) [69][860/940] lr: 1.0000e-03 eta: 5:08:20 time: 0.6326 data_time: 0.0431 memory: 24011 grad_norm: 5.0925 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6222 loss: 0.6222 2022/08/05 05:40:21 - mmengine - INFO - Epoch(train) [69][880/940] lr: 1.0000e-03 eta: 5:08:07 time: 0.6079 data_time: 0.0392 memory: 24011 grad_norm: 5.7135 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6421 loss: 0.6421 2022/08/05 05:40:34 - mmengine - INFO - Epoch(train) [69][900/940] lr: 1.0000e-03 eta: 5:07:55 time: 0.6378 data_time: 0.0357 memory: 24011 grad_norm: 5.3287 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.7017 loss: 0.7017 2022/08/05 05:40:46 - mmengine - INFO - Epoch(train) [69][920/940] lr: 1.0000e-03 eta: 5:07:42 time: 0.6322 data_time: 0.0349 memory: 24011 grad_norm: 5.1132 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6357 loss: 0.6357 2022/08/05 05:40:57 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:40:58 - mmengine - INFO - Epoch(train) [69][940/940] lr: 1.0000e-03 eta: 5:07:29 time: 0.5548 data_time: 0.0272 memory: 24011 grad_norm: 5.2976 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7200 loss: 0.7200 2022/08/05 05:40:58 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/08/05 05:41:17 - mmengine - INFO - Epoch(val) [69][20/78] eta: 0:00:38 time: 0.6699 data_time: 0.5169 memory: 3625 2022/08/05 05:41:26 - mmengine - INFO - Epoch(val) [69][40/78] eta: 0:00:17 time: 0.4481 data_time: 0.2973 memory: 3625 2022/08/05 05:41:38 - mmengine - INFO - Epoch(val) [69][60/78] eta: 0:00:10 time: 0.5982 data_time: 0.4483 memory: 3625 2022/08/05 05:41:47 - mmengine - INFO - Epoch(val) [69][78/78] acc/top1: 0.7409 acc/top5: 0.9078 acc/mean1: 0.7408 2022/08/05 05:42:05 - mmengine - INFO - Epoch(train) [70][20/940] lr: 1.0000e-03 eta: 5:07:18 time: 0.8919 data_time: 0.2594 memory: 24011 grad_norm: 5.2770 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5933 loss: 0.5933 2022/08/05 05:42:17 - mmengine - INFO - Epoch(train) [70][40/940] lr: 1.0000e-03 eta: 5:07:05 time: 0.5944 data_time: 0.0332 memory: 24011 grad_norm: 5.3273 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6505 loss: 0.6505 2022/08/05 05:42:30 - mmengine - INFO - Epoch(train) [70][60/940] lr: 1.0000e-03 eta: 5:06:53 time: 0.6614 data_time: 0.0345 memory: 24011 grad_norm: 5.3002 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6386 loss: 0.6386 2022/08/05 05:42:42 - mmengine - INFO - Epoch(train) [70][80/940] lr: 1.0000e-03 eta: 5:06:40 time: 0.5968 data_time: 0.0340 memory: 24011 grad_norm: 5.0817 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6368 loss: 0.6368 2022/08/05 05:42:55 - mmengine - INFO - Epoch(train) [70][100/940] lr: 1.0000e-03 eta: 5:06:27 time: 0.6334 data_time: 0.0687 memory: 24011 grad_norm: 5.1269 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5805 loss: 0.5805 2022/08/05 05:43:08 - mmengine - INFO - Epoch(train) [70][120/940] lr: 1.0000e-03 eta: 5:06:15 time: 0.6351 data_time: 0.0413 memory: 24011 grad_norm: 5.0157 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.6136 loss: 0.6136 2022/08/05 05:43:20 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:43:20 - mmengine - INFO - Epoch(train) [70][140/940] lr: 1.0000e-03 eta: 5:06:02 time: 0.6246 data_time: 0.0645 memory: 24011 grad_norm: 5.0299 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6161 loss: 0.6161 2022/08/05 05:43:33 - mmengine - INFO - Epoch(train) [70][160/940] lr: 1.0000e-03 eta: 5:05:49 time: 0.6365 data_time: 0.0793 memory: 24011 grad_norm: 4.7850 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6251 loss: 0.6251 2022/08/05 05:43:45 - mmengine - INFO - Epoch(train) [70][180/940] lr: 1.0000e-03 eta: 5:05:37 time: 0.6270 data_time: 0.0374 memory: 24011 grad_norm: 5.9044 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6162 loss: 0.6162 2022/08/05 05:43:57 - mmengine - INFO - Epoch(train) [70][200/940] lr: 1.0000e-03 eta: 5:05:24 time: 0.5879 data_time: 0.0301 memory: 24011 grad_norm: 5.6207 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5865 loss: 0.5865 2022/08/05 05:44:10 - mmengine - INFO - Epoch(train) [70][220/940] lr: 1.0000e-03 eta: 5:05:11 time: 0.6489 data_time: 0.0826 memory: 24011 grad_norm: 5.4993 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6096 loss: 0.6096 2022/08/05 05:44:22 - mmengine - INFO - Epoch(train) [70][240/940] lr: 1.0000e-03 eta: 5:04:58 time: 0.6084 data_time: 0.0417 memory: 24011 grad_norm: 5.0718 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6256 loss: 0.6256 2022/08/05 05:44:35 - mmengine - INFO - Epoch(train) [70][260/940] lr: 1.0000e-03 eta: 5:04:46 time: 0.6413 data_time: 0.0698 memory: 24011 grad_norm: 5.4696 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5882 loss: 0.5882 2022/08/05 05:44:48 - mmengine - INFO - Epoch(train) [70][280/940] lr: 1.0000e-03 eta: 5:04:33 time: 0.6250 data_time: 0.0597 memory: 24011 grad_norm: 5.1728 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6399 loss: 0.6399 2022/08/05 05:45:01 - mmengine - INFO - Epoch(train) [70][300/940] lr: 1.0000e-03 eta: 5:04:20 time: 0.6608 data_time: 0.0772 memory: 24011 grad_norm: 4.8997 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6426 loss: 0.6426 2022/08/05 05:45:13 - mmengine - INFO - Epoch(train) [70][320/940] lr: 1.0000e-03 eta: 5:04:08 time: 0.6192 data_time: 0.0539 memory: 24011 grad_norm: 5.1366 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5150 loss: 0.5150 2022/08/05 05:45:25 - mmengine - INFO - Epoch(train) [70][340/940] lr: 1.0000e-03 eta: 5:03:55 time: 0.6085 data_time: 0.0483 memory: 24011 grad_norm: 4.9519 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6187 loss: 0.6187 2022/08/05 05:45:42 - mmengine - INFO - Epoch(train) [70][360/940] lr: 1.0000e-03 eta: 5:03:44 time: 0.8385 data_time: 0.0390 memory: 24011 grad_norm: 5.1479 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6841 loss: 0.6841 2022/08/05 05:45:54 - mmengine - INFO - Epoch(train) [70][380/940] lr: 1.0000e-03 eta: 5:03:31 time: 0.6165 data_time: 0.0298 memory: 24011 grad_norm: 5.1057 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6030 loss: 0.6030 2022/08/05 05:46:06 - mmengine - INFO - Epoch(train) [70][400/940] lr: 1.0000e-03 eta: 5:03:18 time: 0.5969 data_time: 0.0378 memory: 24011 grad_norm: 5.0794 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5855 loss: 0.5855 2022/08/05 05:46:20 - mmengine - INFO - Epoch(train) [70][420/940] lr: 1.0000e-03 eta: 5:03:06 time: 0.6930 data_time: 0.0342 memory: 24011 grad_norm: 5.0603 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6496 loss: 0.6496 2022/08/05 05:46:32 - mmengine - INFO - Epoch(train) [70][440/940] lr: 1.0000e-03 eta: 5:02:53 time: 0.5937 data_time: 0.0356 memory: 24011 grad_norm: 4.8401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5915 loss: 0.5915 2022/08/05 05:46:45 - mmengine - INFO - Epoch(train) [70][460/940] lr: 1.0000e-03 eta: 5:02:40 time: 0.6353 data_time: 0.0400 memory: 24011 grad_norm: 5.6345 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5921 loss: 0.5921 2022/08/05 05:46:57 - mmengine - INFO - Epoch(train) [70][480/940] lr: 1.0000e-03 eta: 5:02:28 time: 0.6186 data_time: 0.0361 memory: 24011 grad_norm: 5.1443 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6240 loss: 0.6240 2022/08/05 05:47:09 - mmengine - INFO - Epoch(train) [70][500/940] lr: 1.0000e-03 eta: 5:02:14 time: 0.5839 data_time: 0.0345 memory: 24011 grad_norm: 5.1811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4640 loss: 0.4640 2022/08/05 05:47:21 - mmengine - INFO - Epoch(train) [70][520/940] lr: 1.0000e-03 eta: 5:02:01 time: 0.5865 data_time: 0.0346 memory: 24011 grad_norm: 5.2213 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5967 loss: 0.5967 2022/08/05 05:47:33 - mmengine - INFO - Epoch(train) [70][540/940] lr: 1.0000e-03 eta: 5:01:49 time: 0.6399 data_time: 0.0355 memory: 24011 grad_norm: 4.8638 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5292 loss: 0.5292 2022/08/05 05:47:47 - mmengine - INFO - Epoch(train) [70][560/940] lr: 1.0000e-03 eta: 5:01:36 time: 0.6627 data_time: 0.0312 memory: 24011 grad_norm: 5.4234 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.5815 loss: 0.5815 2022/08/05 05:47:59 - mmengine - INFO - Epoch(train) [70][580/940] lr: 1.0000e-03 eta: 5:01:23 time: 0.6026 data_time: 0.0365 memory: 24011 grad_norm: 5.1761 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7905 loss: 0.7905 2022/08/05 05:48:11 - mmengine - INFO - Epoch(train) [70][600/940] lr: 1.0000e-03 eta: 5:01:11 time: 0.6139 data_time: 0.0513 memory: 24011 grad_norm: 5.1054 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6225 loss: 0.6225 2022/08/05 05:48:23 - mmengine - INFO - Epoch(train) [70][620/940] lr: 1.0000e-03 eta: 5:00:58 time: 0.6038 data_time: 0.0375 memory: 24011 grad_norm: 6.1428 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5758 loss: 0.5758 2022/08/05 05:48:36 - mmengine - INFO - Epoch(train) [70][640/940] lr: 1.0000e-03 eta: 5:00:45 time: 0.6485 data_time: 0.0343 memory: 24011 grad_norm: 5.3986 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6472 loss: 0.6472 2022/08/05 05:48:48 - mmengine - INFO - Epoch(train) [70][660/940] lr: 1.0000e-03 eta: 5:00:32 time: 0.6092 data_time: 0.0400 memory: 24011 grad_norm: 5.3236 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6242 loss: 0.6242 2022/08/05 05:49:01 - mmengine - INFO - Epoch(train) [70][680/940] lr: 1.0000e-03 eta: 5:00:20 time: 0.6314 data_time: 0.0327 memory: 24011 grad_norm: 5.2091 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5600 loss: 0.5600 2022/08/05 05:49:13 - mmengine - INFO - Epoch(train) [70][700/940] lr: 1.0000e-03 eta: 5:00:07 time: 0.5946 data_time: 0.0354 memory: 24011 grad_norm: 5.0514 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6466 loss: 0.6466 2022/08/05 05:49:25 - mmengine - INFO - Epoch(train) [70][720/940] lr: 1.0000e-03 eta: 4:59:54 time: 0.6148 data_time: 0.0394 memory: 24011 grad_norm: 5.2824 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5801 loss: 0.5801 2022/08/05 05:49:38 - mmengine - INFO - Epoch(train) [70][740/940] lr: 1.0000e-03 eta: 4:59:41 time: 0.6249 data_time: 0.0698 memory: 24011 grad_norm: 5.0114 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.6194 loss: 0.6194 2022/08/05 05:49:50 - mmengine - INFO - Epoch(train) [70][760/940] lr: 1.0000e-03 eta: 4:59:28 time: 0.6328 data_time: 0.0508 memory: 24011 grad_norm: 5.1437 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6359 loss: 0.6359 2022/08/05 05:50:02 - mmengine - INFO - Epoch(train) [70][780/940] lr: 1.0000e-03 eta: 4:59:15 time: 0.5962 data_time: 0.0505 memory: 24011 grad_norm: 6.6666 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6050 loss: 0.6050 2022/08/05 05:50:15 - mmengine - INFO - Epoch(train) [70][800/940] lr: 1.0000e-03 eta: 4:59:03 time: 0.6462 data_time: 0.0553 memory: 24011 grad_norm: 5.1819 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6997 loss: 0.6997 2022/08/05 05:50:28 - mmengine - INFO - Epoch(train) [70][820/940] lr: 1.0000e-03 eta: 4:58:50 time: 0.6399 data_time: 0.0755 memory: 24011 grad_norm: 5.2673 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5562 loss: 0.5562 2022/08/05 05:50:40 - mmengine - INFO - Epoch(train) [70][840/940] lr: 1.0000e-03 eta: 4:58:37 time: 0.6053 data_time: 0.0322 memory: 24011 grad_norm: 5.6403 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6365 loss: 0.6365 2022/08/05 05:50:53 - mmengine - INFO - Epoch(train) [70][860/940] lr: 1.0000e-03 eta: 4:58:25 time: 0.6526 data_time: 0.0683 memory: 24011 grad_norm: 4.9462 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6227 loss: 0.6227 2022/08/05 05:51:06 - mmengine - INFO - Epoch(train) [70][880/940] lr: 1.0000e-03 eta: 4:58:12 time: 0.6207 data_time: 0.0270 memory: 24011 grad_norm: 5.0992 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6372 loss: 0.6372 2022/08/05 05:51:19 - mmengine - INFO - Epoch(train) [70][900/940] lr: 1.0000e-03 eta: 4:58:00 time: 0.6516 data_time: 0.0411 memory: 24011 grad_norm: 5.1192 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5287 loss: 0.5287 2022/08/05 05:51:31 - mmengine - INFO - Epoch(train) [70][920/940] lr: 1.0000e-03 eta: 4:57:47 time: 0.6065 data_time: 0.0478 memory: 24011 grad_norm: 5.2530 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6096 loss: 0.6096 2022/08/05 05:51:42 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:51:42 - mmengine - INFO - Epoch(train) [70][940/940] lr: 1.0000e-03 eta: 4:57:33 time: 0.5448 data_time: 0.0282 memory: 24011 grad_norm: 5.3815 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.5774 loss: 0.5774 2022/08/05 05:51:55 - mmengine - INFO - Epoch(val) [70][20/78] eta: 0:00:38 time: 0.6704 data_time: 0.5118 memory: 3625 2022/08/05 05:52:04 - mmengine - INFO - Epoch(val) [70][40/78] eta: 0:00:16 time: 0.4277 data_time: 0.2742 memory: 3625 2022/08/05 05:52:16 - mmengine - INFO - Epoch(val) [70][60/78] eta: 0:00:11 time: 0.6202 data_time: 0.4641 memory: 3625 2022/08/05 05:52:26 - mmengine - INFO - Epoch(val) [70][78/78] acc/top1: 0.7396 acc/top5: 0.9079 acc/mean1: 0.7395 2022/08/05 05:52:44 - mmengine - INFO - Epoch(train) [71][20/940] lr: 1.0000e-03 eta: 4:57:23 time: 0.8836 data_time: 0.2571 memory: 24011 grad_norm: 5.4434 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5582 loss: 0.5582 2022/08/05 05:52:56 - mmengine - INFO - Epoch(train) [71][40/940] lr: 1.0000e-03 eta: 4:57:10 time: 0.6252 data_time: 0.0251 memory: 24011 grad_norm: 5.0954 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5737 loss: 0.5737 2022/08/05 05:53:09 - mmengine - INFO - Epoch(train) [71][60/940] lr: 1.0000e-03 eta: 4:56:57 time: 0.6171 data_time: 0.0365 memory: 24011 grad_norm: 4.9835 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6077 loss: 0.6077 2022/08/05 05:53:21 - mmengine - INFO - Epoch(train) [71][80/940] lr: 1.0000e-03 eta: 4:56:44 time: 0.6247 data_time: 0.0562 memory: 24011 grad_norm: 5.4362 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5400 loss: 0.5400 2022/08/05 05:53:34 - mmengine - INFO - Epoch(train) [71][100/940] lr: 1.0000e-03 eta: 4:56:32 time: 0.6314 data_time: 0.0836 memory: 24011 grad_norm: 5.4506 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.7540 loss: 0.7540 2022/08/05 05:53:46 - mmengine - INFO - Epoch(train) [71][120/940] lr: 1.0000e-03 eta: 4:56:19 time: 0.6082 data_time: 0.0492 memory: 24011 grad_norm: 5.0489 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6245 loss: 0.6245 2022/08/05 05:53:59 - mmengine - INFO - Epoch(train) [71][140/940] lr: 1.0000e-03 eta: 4:56:06 time: 0.6276 data_time: 0.0723 memory: 24011 grad_norm: 5.1646 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6100 loss: 0.6100 2022/08/05 05:54:12 - mmengine - INFO - Epoch(train) [71][160/940] lr: 1.0000e-03 eta: 4:55:54 time: 0.6542 data_time: 0.0945 memory: 24011 grad_norm: 5.3303 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6048 loss: 0.6048 2022/08/05 05:54:25 - mmengine - INFO - Epoch(train) [71][180/940] lr: 1.0000e-03 eta: 4:55:41 time: 0.6431 data_time: 0.0508 memory: 24011 grad_norm: 5.6740 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5393 loss: 0.5393 2022/08/05 05:54:37 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 05:54:37 - mmengine - INFO - Epoch(train) [71][200/940] lr: 1.0000e-03 eta: 4:55:28 time: 0.6123 data_time: 0.0558 memory: 24011 grad_norm: 5.6881 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5215 loss: 0.5215 2022/08/05 05:54:50 - mmengine - INFO - Epoch(train) [71][220/940] lr: 1.0000e-03 eta: 4:55:16 time: 0.6523 data_time: 0.0850 memory: 24011 grad_norm: 5.4066 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5918 loss: 0.5918 2022/08/05 05:55:01 - mmengine - INFO - Epoch(train) [71][240/940] lr: 1.0000e-03 eta: 4:55:03 time: 0.5792 data_time: 0.0296 memory: 24011 grad_norm: 5.1933 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6543 loss: 0.6543 2022/08/05 05:55:15 - mmengine - INFO - Epoch(train) [71][260/940] lr: 1.0000e-03 eta: 4:54:50 time: 0.6682 data_time: 0.0471 memory: 24011 grad_norm: 5.0348 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5823 loss: 0.5823 2022/08/05 05:55:27 - mmengine - INFO - Epoch(train) [71][280/940] lr: 1.0000e-03 eta: 4:54:37 time: 0.5947 data_time: 0.0288 memory: 24011 grad_norm: 5.4424 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 0.6373 loss: 0.6373 2022/08/05 05:55:40 - mmengine - INFO - Epoch(train) [71][300/940] lr: 1.0000e-03 eta: 4:54:25 time: 0.6527 data_time: 0.0681 memory: 24011 grad_norm: 5.6544 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.6392 loss: 0.6392 2022/08/05 05:55:52 - mmengine - INFO - Epoch(train) [71][320/940] lr: 1.0000e-03 eta: 4:54:12 time: 0.5885 data_time: 0.0318 memory: 24011 grad_norm: 5.1772 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5221 loss: 0.5221 2022/08/05 05:56:03 - mmengine - INFO - Epoch(train) [71][340/940] lr: 1.0000e-03 eta: 4:53:59 time: 0.5935 data_time: 0.0350 memory: 24011 grad_norm: 5.4751 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6311 loss: 0.6311 2022/08/05 05:56:15 - mmengine - INFO - Epoch(train) [71][360/940] lr: 1.0000e-03 eta: 4:53:46 time: 0.5953 data_time: 0.0350 memory: 24011 grad_norm: 5.0003 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.6217 loss: 0.6217 2022/08/05 05:56:28 - mmengine - INFO - Epoch(train) [71][380/940] lr: 1.0000e-03 eta: 4:53:33 time: 0.6463 data_time: 0.0356 memory: 24011 grad_norm: 5.2021 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6772 loss: 0.6772 2022/08/05 05:56:40 - mmengine - INFO - Epoch(train) [71][400/940] lr: 1.0000e-03 eta: 4:53:20 time: 0.6021 data_time: 0.0412 memory: 24011 grad_norm: 5.2075 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.5565 loss: 0.5565 2022/08/05 05:56:53 - mmengine - INFO - Epoch(train) [71][420/940] lr: 1.0000e-03 eta: 4:53:08 time: 0.6199 data_time: 0.0348 memory: 24011 grad_norm: 5.0445 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6581 loss: 0.6581 2022/08/05 05:57:06 - mmengine - INFO - Epoch(train) [71][440/940] lr: 1.0000e-03 eta: 4:52:55 time: 0.6800 data_time: 0.0363 memory: 24011 grad_norm: 5.4092 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6928 loss: 0.6928 2022/08/05 05:57:18 - mmengine - INFO - Epoch(train) [71][460/940] lr: 1.0000e-03 eta: 4:52:42 time: 0.5780 data_time: 0.0346 memory: 24011 grad_norm: 5.6197 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7026 loss: 0.7026 2022/08/05 05:57:30 - mmengine - INFO - Epoch(train) [71][480/940] lr: 1.0000e-03 eta: 4:52:29 time: 0.6258 data_time: 0.0372 memory: 24011 grad_norm: 5.6271 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6038 loss: 0.6038 2022/08/05 05:57:43 - mmengine - INFO - Epoch(train) [71][500/940] lr: 1.0000e-03 eta: 4:52:17 time: 0.6324 data_time: 0.0565 memory: 24011 grad_norm: 5.2668 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5642 loss: 0.5642 2022/08/05 05:57:55 - mmengine - INFO - Epoch(train) [71][520/940] lr: 1.0000e-03 eta: 4:52:04 time: 0.6099 data_time: 0.0347 memory: 24011 grad_norm: 5.1507 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5822 loss: 0.5822 2022/08/05 05:58:08 - mmengine - INFO - Epoch(train) [71][540/940] lr: 1.0000e-03 eta: 4:51:51 time: 0.6248 data_time: 0.0329 memory: 24011 grad_norm: 4.9376 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6516 loss: 0.6516 2022/08/05 05:58:21 - mmengine - INFO - Epoch(train) [71][560/940] lr: 1.0000e-03 eta: 4:51:39 time: 0.6502 data_time: 0.0385 memory: 24011 grad_norm: 5.7243 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5672 loss: 0.5672 2022/08/05 05:58:33 - mmengine - INFO - Epoch(train) [71][580/940] lr: 1.0000e-03 eta: 4:51:26 time: 0.6332 data_time: 0.0358 memory: 24011 grad_norm: 5.0757 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7119 loss: 0.7119 2022/08/05 05:58:46 - mmengine - INFO - Epoch(train) [71][600/940] lr: 1.0000e-03 eta: 4:51:13 time: 0.6101 data_time: 0.0343 memory: 24011 grad_norm: 6.9323 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6358 loss: 0.6358 2022/08/05 05:58:59 - mmengine - INFO - Epoch(train) [71][620/940] lr: 1.0000e-03 eta: 4:51:01 time: 0.6457 data_time: 0.0413 memory: 24011 grad_norm: 5.8377 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7235 loss: 0.7235 2022/08/05 05:59:11 - mmengine - INFO - Epoch(train) [71][640/940] lr: 1.0000e-03 eta: 4:50:48 time: 0.6156 data_time: 0.0426 memory: 24011 grad_norm: 5.4790 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6559 loss: 0.6559 2022/08/05 05:59:24 - mmengine - INFO - Epoch(train) [71][660/940] lr: 1.0000e-03 eta: 4:50:35 time: 0.6627 data_time: 0.0404 memory: 24011 grad_norm: 4.8690 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6157 loss: 0.6157 2022/08/05 05:59:36 - mmengine - INFO - Epoch(train) [71][680/940] lr: 1.0000e-03 eta: 4:50:22 time: 0.5869 data_time: 0.0395 memory: 24011 grad_norm: 5.1503 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.7133 loss: 0.7133 2022/08/05 05:59:48 - mmengine - INFO - Epoch(train) [71][700/940] lr: 1.0000e-03 eta: 4:50:09 time: 0.6055 data_time: 0.0365 memory: 24011 grad_norm: 5.6075 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6652 loss: 0.6652 2022/08/05 06:00:01 - mmengine - INFO - Epoch(train) [71][720/940] lr: 1.0000e-03 eta: 4:49:57 time: 0.6360 data_time: 0.0446 memory: 24011 grad_norm: 4.9713 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5809 loss: 0.5809 2022/08/05 06:00:15 - mmengine - INFO - Epoch(train) [71][740/940] lr: 1.0000e-03 eta: 4:49:45 time: 0.7306 data_time: 0.0336 memory: 24011 grad_norm: 5.4695 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5335 loss: 0.5335 2022/08/05 06:00:28 - mmengine - INFO - Epoch(train) [71][760/940] lr: 1.0000e-03 eta: 4:49:32 time: 0.6377 data_time: 0.0401 memory: 24011 grad_norm: 5.1307 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5866 loss: 0.5866 2022/08/05 06:00:41 - mmengine - INFO - Epoch(train) [71][780/940] lr: 1.0000e-03 eta: 4:49:20 time: 0.6174 data_time: 0.0339 memory: 24011 grad_norm: 5.5386 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6431 loss: 0.6431 2022/08/05 06:00:53 - mmengine - INFO - Epoch(train) [71][800/940] lr: 1.0000e-03 eta: 4:49:07 time: 0.6263 data_time: 0.0336 memory: 24011 grad_norm: 5.4766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5831 loss: 0.5831 2022/08/05 06:01:05 - mmengine - INFO - Epoch(train) [71][820/940] lr: 1.0000e-03 eta: 4:48:54 time: 0.6169 data_time: 0.0362 memory: 24011 grad_norm: 5.2727 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5965 loss: 0.5965 2022/08/05 06:01:18 - mmengine - INFO - Epoch(train) [71][840/940] lr: 1.0000e-03 eta: 4:48:41 time: 0.6133 data_time: 0.0351 memory: 24011 grad_norm: 5.8032 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5721 loss: 0.5721 2022/08/05 06:01:31 - mmengine - INFO - Epoch(train) [71][860/940] lr: 1.0000e-03 eta: 4:48:29 time: 0.6447 data_time: 0.0404 memory: 24011 grad_norm: 5.1420 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6275 loss: 0.6275 2022/08/05 06:01:42 - mmengine - INFO - Epoch(train) [71][880/940] lr: 1.0000e-03 eta: 4:48:15 time: 0.5740 data_time: 0.0316 memory: 24011 grad_norm: 5.6857 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.7169 loss: 0.7169 2022/08/05 06:01:54 - mmengine - INFO - Epoch(train) [71][900/940] lr: 1.0000e-03 eta: 4:48:03 time: 0.6035 data_time: 0.0418 memory: 24011 grad_norm: 5.0786 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6005 loss: 0.6005 2022/08/05 06:02:06 - mmengine - INFO - Epoch(train) [71][920/940] lr: 1.0000e-03 eta: 4:47:50 time: 0.5963 data_time: 0.0306 memory: 24011 grad_norm: 5.1488 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6152 loss: 0.6152 2022/08/05 06:02:17 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:02:17 - mmengine - INFO - Epoch(train) [71][940/940] lr: 1.0000e-03 eta: 4:47:36 time: 0.5712 data_time: 0.0281 memory: 24011 grad_norm: 5.7654 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5336 loss: 0.5336 2022/08/05 06:02:31 - mmengine - INFO - Epoch(val) [71][20/78] eta: 0:00:38 time: 0.6617 data_time: 0.5093 memory: 3625 2022/08/05 06:02:40 - mmengine - INFO - Epoch(val) [71][40/78] eta: 0:00:17 time: 0.4481 data_time: 0.2973 memory: 3625 2022/08/05 06:02:52 - mmengine - INFO - Epoch(val) [71][60/78] eta: 0:00:11 time: 0.6255 data_time: 0.4712 memory: 3625 2022/08/05 06:03:05 - mmengine - INFO - Epoch(val) [71][78/78] acc/top1: 0.7369 acc/top5: 0.9075 acc/mean1: 0.7368 2022/08/05 06:03:23 - mmengine - INFO - Epoch(train) [72][20/940] lr: 1.0000e-03 eta: 4:47:26 time: 0.8695 data_time: 0.3030 memory: 24011 grad_norm: 5.1794 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5841 loss: 0.5841 2022/08/05 06:03:35 - mmengine - INFO - Epoch(train) [72][40/940] lr: 1.0000e-03 eta: 4:47:13 time: 0.6097 data_time: 0.0529 memory: 24011 grad_norm: 4.9592 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6093 loss: 0.6093 2022/08/05 06:03:48 - mmengine - INFO - Epoch(train) [72][60/940] lr: 1.0000e-03 eta: 4:47:00 time: 0.6578 data_time: 0.0319 memory: 24011 grad_norm: 5.3670 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5773 loss: 0.5773 2022/08/05 06:04:00 - mmengine - INFO - Epoch(train) [72][80/940] lr: 1.0000e-03 eta: 4:46:47 time: 0.6034 data_time: 0.0343 memory: 24011 grad_norm: 5.2482 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5668 loss: 0.5668 2022/08/05 06:04:13 - mmengine - INFO - Epoch(train) [72][100/940] lr: 1.0000e-03 eta: 4:46:35 time: 0.6230 data_time: 0.0434 memory: 24011 grad_norm: 5.2505 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5636 loss: 0.5636 2022/08/05 06:04:25 - mmengine - INFO - Epoch(train) [72][120/940] lr: 1.0000e-03 eta: 4:46:22 time: 0.5978 data_time: 0.0282 memory: 24011 grad_norm: 5.4273 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6039 loss: 0.6039 2022/08/05 06:04:38 - mmengine - INFO - Epoch(train) [72][140/940] lr: 1.0000e-03 eta: 4:46:10 time: 0.6799 data_time: 0.0371 memory: 24011 grad_norm: 5.6400 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5790 loss: 0.5790 2022/08/05 06:04:50 - mmengine - INFO - Epoch(train) [72][160/940] lr: 1.0000e-03 eta: 4:45:57 time: 0.6013 data_time: 0.0339 memory: 24011 grad_norm: 5.2822 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5449 loss: 0.5449 2022/08/05 06:05:04 - mmengine - INFO - Epoch(train) [72][180/940] lr: 1.0000e-03 eta: 4:45:44 time: 0.6618 data_time: 0.0328 memory: 24011 grad_norm: 5.2512 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5700 loss: 0.5700 2022/08/05 06:05:15 - mmengine - INFO - Epoch(train) [72][200/940] lr: 1.0000e-03 eta: 4:45:31 time: 0.5954 data_time: 0.0395 memory: 24011 grad_norm: 5.5097 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6454 loss: 0.6454 2022/08/05 06:05:29 - mmengine - INFO - Epoch(train) [72][220/940] lr: 1.0000e-03 eta: 4:45:19 time: 0.6526 data_time: 0.0377 memory: 24011 grad_norm: 5.4113 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5550 loss: 0.5550 2022/08/05 06:05:41 - mmengine - INFO - Epoch(train) [72][240/940] lr: 1.0000e-03 eta: 4:45:06 time: 0.6230 data_time: 0.0365 memory: 24011 grad_norm: 5.4296 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5937 loss: 0.5937 2022/08/05 06:05:55 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:05:55 - mmengine - INFO - Epoch(train) [72][260/940] lr: 1.0000e-03 eta: 4:44:54 time: 0.6781 data_time: 0.0575 memory: 24011 grad_norm: 5.2321 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5824 loss: 0.5824 2022/08/05 06:06:06 - mmengine - INFO - Epoch(train) [72][280/940] lr: 1.0000e-03 eta: 4:44:41 time: 0.5747 data_time: 0.0329 memory: 24011 grad_norm: 5.1200 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6414 loss: 0.6414 2022/08/05 06:06:18 - mmengine - INFO - Epoch(train) [72][300/940] lr: 1.0000e-03 eta: 4:44:28 time: 0.5933 data_time: 0.0355 memory: 24011 grad_norm: 5.0228 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6259 loss: 0.6259 2022/08/05 06:06:30 - mmengine - INFO - Epoch(train) [72][320/940] lr: 1.0000e-03 eta: 4:44:15 time: 0.6263 data_time: 0.0392 memory: 24011 grad_norm: 4.9765 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5984 loss: 0.5984 2022/08/05 06:06:44 - mmengine - INFO - Epoch(train) [72][340/940] lr: 1.0000e-03 eta: 4:44:03 time: 0.6835 data_time: 0.0331 memory: 24011 grad_norm: 6.8549 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6158 loss: 0.6158 2022/08/05 06:06:56 - mmengine - INFO - Epoch(train) [72][360/940] lr: 1.0000e-03 eta: 4:43:50 time: 0.6114 data_time: 0.0381 memory: 24011 grad_norm: 5.7973 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.7358 loss: 0.7358 2022/08/05 06:07:09 - mmengine - INFO - Epoch(train) [72][380/940] lr: 1.0000e-03 eta: 4:43:37 time: 0.6374 data_time: 0.0377 memory: 24011 grad_norm: 4.9589 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6338 loss: 0.6338 2022/08/05 06:07:21 - mmengine - INFO - Epoch(train) [72][400/940] lr: 1.0000e-03 eta: 4:43:24 time: 0.5872 data_time: 0.0359 memory: 24011 grad_norm: 5.6259 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6076 loss: 0.6076 2022/08/05 06:07:33 - mmengine - INFO - Epoch(train) [72][420/940] lr: 1.0000e-03 eta: 4:43:11 time: 0.6029 data_time: 0.0361 memory: 24011 grad_norm: 5.3531 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6811 loss: 0.6811 2022/08/05 06:07:45 - mmengine - INFO - Epoch(train) [72][440/940] lr: 1.0000e-03 eta: 4:42:58 time: 0.6223 data_time: 0.0334 memory: 24011 grad_norm: 5.5618 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6412 loss: 0.6412 2022/08/05 06:07:57 - mmengine - INFO - Epoch(train) [72][460/940] lr: 1.0000e-03 eta: 4:42:45 time: 0.5828 data_time: 0.0333 memory: 24011 grad_norm: 5.0941 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5024 loss: 0.5024 2022/08/05 06:08:09 - mmengine - INFO - Epoch(train) [72][480/940] lr: 1.0000e-03 eta: 4:42:33 time: 0.6192 data_time: 0.0323 memory: 24011 grad_norm: 5.5318 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6242 loss: 0.6242 2022/08/05 06:08:22 - mmengine - INFO - Epoch(train) [72][500/940] lr: 1.0000e-03 eta: 4:42:20 time: 0.6423 data_time: 0.0374 memory: 24011 grad_norm: 5.1866 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5890 loss: 0.5890 2022/08/05 06:08:35 - mmengine - INFO - Epoch(train) [72][520/940] lr: 1.0000e-03 eta: 4:42:07 time: 0.6213 data_time: 0.0352 memory: 24011 grad_norm: 4.9968 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5730 loss: 0.5730 2022/08/05 06:08:47 - mmengine - INFO - Epoch(train) [72][540/940] lr: 1.0000e-03 eta: 4:41:54 time: 0.6215 data_time: 0.0318 memory: 24011 grad_norm: 4.9443 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.5490 loss: 0.5490 2022/08/05 06:09:00 - mmengine - INFO - Epoch(train) [72][560/940] lr: 1.0000e-03 eta: 4:41:42 time: 0.6300 data_time: 0.0354 memory: 24011 grad_norm: 5.0158 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5378 loss: 0.5378 2022/08/05 06:09:13 - mmengine - INFO - Epoch(train) [72][580/940] lr: 1.0000e-03 eta: 4:41:30 time: 0.6807 data_time: 0.0316 memory: 24011 grad_norm: 5.3531 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6599 loss: 0.6599 2022/08/05 06:09:25 - mmengine - INFO - Epoch(train) [72][600/940] lr: 1.0000e-03 eta: 4:41:17 time: 0.5902 data_time: 0.0381 memory: 24011 grad_norm: 5.2727 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5586 loss: 0.5586 2022/08/05 06:09:38 - mmengine - INFO - Epoch(train) [72][620/940] lr: 1.0000e-03 eta: 4:41:04 time: 0.6465 data_time: 0.0297 memory: 24011 grad_norm: 5.2164 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5660 loss: 0.5660 2022/08/05 06:09:51 - mmengine - INFO - Epoch(train) [72][640/940] lr: 1.0000e-03 eta: 4:40:51 time: 0.6330 data_time: 0.0359 memory: 24011 grad_norm: 5.3279 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.5844 loss: 0.5844 2022/08/05 06:10:03 - mmengine - INFO - Epoch(train) [72][660/940] lr: 1.0000e-03 eta: 4:40:39 time: 0.6325 data_time: 0.0263 memory: 24011 grad_norm: 5.1667 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5955 loss: 0.5955 2022/08/05 06:10:16 - mmengine - INFO - Epoch(train) [72][680/940] lr: 1.0000e-03 eta: 4:40:26 time: 0.6312 data_time: 0.0483 memory: 24011 grad_norm: 5.2842 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6954 loss: 0.6954 2022/08/05 06:10:29 - mmengine - INFO - Epoch(train) [72][700/940] lr: 1.0000e-03 eta: 4:40:13 time: 0.6257 data_time: 0.0521 memory: 24011 grad_norm: 5.3095 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6123 loss: 0.6123 2022/08/05 06:10:41 - mmengine - INFO - Epoch(train) [72][720/940] lr: 1.0000e-03 eta: 4:40:01 time: 0.6264 data_time: 0.0346 memory: 24011 grad_norm: 5.5847 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.6245 loss: 0.6245 2022/08/05 06:10:53 - mmengine - INFO - Epoch(train) [72][740/940] lr: 1.0000e-03 eta: 4:39:48 time: 0.5996 data_time: 0.0307 memory: 24011 grad_norm: 5.4014 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.7081 loss: 0.7081 2022/08/05 06:11:06 - mmengine - INFO - Epoch(train) [72][760/940] lr: 1.0000e-03 eta: 4:39:35 time: 0.6226 data_time: 0.0530 memory: 24011 grad_norm: 5.0814 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5613 loss: 0.5613 2022/08/05 06:11:18 - mmengine - INFO - Epoch(train) [72][780/940] lr: 1.0000e-03 eta: 4:39:22 time: 0.6216 data_time: 0.0431 memory: 24011 grad_norm: 5.0291 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.6577 loss: 0.6577 2022/08/05 06:11:31 - mmengine - INFO - Epoch(train) [72][800/940] lr: 1.0000e-03 eta: 4:39:09 time: 0.6301 data_time: 0.0640 memory: 24011 grad_norm: 5.2002 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6478 loss: 0.6478 2022/08/05 06:11:43 - mmengine - INFO - Epoch(train) [72][820/940] lr: 1.0000e-03 eta: 4:38:57 time: 0.6099 data_time: 0.0441 memory: 24011 grad_norm: 5.2280 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6363 loss: 0.6363 2022/08/05 06:11:55 - mmengine - INFO - Epoch(train) [72][840/940] lr: 1.0000e-03 eta: 4:38:44 time: 0.6100 data_time: 0.0322 memory: 24011 grad_norm: 5.4234 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.6693 loss: 0.6693 2022/08/05 06:12:08 - mmengine - INFO - Epoch(train) [72][860/940] lr: 1.0000e-03 eta: 4:38:31 time: 0.6357 data_time: 0.0381 memory: 24011 grad_norm: 5.2466 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5399 loss: 0.5399 2022/08/05 06:12:20 - mmengine - INFO - Epoch(train) [72][880/940] lr: 1.0000e-03 eta: 4:38:18 time: 0.5989 data_time: 0.0337 memory: 24011 grad_norm: 6.1266 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5860 loss: 0.5860 2022/08/05 06:12:34 - mmengine - INFO - Epoch(train) [72][900/940] lr: 1.0000e-03 eta: 4:38:06 time: 0.6877 data_time: 0.0323 memory: 24011 grad_norm: 4.9897 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6610 loss: 0.6610 2022/08/05 06:12:45 - mmengine - INFO - Epoch(train) [72][920/940] lr: 1.0000e-03 eta: 4:37:53 time: 0.5915 data_time: 0.0333 memory: 24011 grad_norm: 5.5916 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6319 loss: 0.6319 2022/08/05 06:12:56 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:12:56 - mmengine - INFO - Epoch(train) [72][940/940] lr: 1.0000e-03 eta: 4:37:40 time: 0.5367 data_time: 0.0252 memory: 24011 grad_norm: 5.6841 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6211 loss: 0.6211 2022/08/05 06:12:56 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/05 06:13:15 - mmengine - INFO - Epoch(val) [72][20/78] eta: 0:00:39 time: 0.6859 data_time: 0.5334 memory: 3625 2022/08/05 06:13:24 - mmengine - INFO - Epoch(val) [72][40/78] eta: 0:00:16 time: 0.4406 data_time: 0.2917 memory: 3625 2022/08/05 06:13:36 - mmengine - INFO - Epoch(val) [72][60/78] eta: 0:00:10 time: 0.5962 data_time: 0.4450 memory: 3625 2022/08/05 06:13:45 - mmengine - INFO - Epoch(val) [72][78/78] acc/top1: 0.7388 acc/top5: 0.9084 acc/mean1: 0.7386 2022/08/05 06:14:03 - mmengine - INFO - Epoch(train) [73][20/940] lr: 1.0000e-03 eta: 4:37:29 time: 0.8920 data_time: 0.3423 memory: 24011 grad_norm: 5.2365 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6541 loss: 0.6541 2022/08/05 06:14:15 - mmengine - INFO - Epoch(train) [73][40/940] lr: 1.0000e-03 eta: 4:37:16 time: 0.6176 data_time: 0.0669 memory: 24011 grad_norm: 5.1363 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6006 loss: 0.6006 2022/08/05 06:14:29 - mmengine - INFO - Epoch(train) [73][60/940] lr: 1.0000e-03 eta: 4:37:04 time: 0.6615 data_time: 0.0487 memory: 24011 grad_norm: 5.1593 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5629 loss: 0.5629 2022/08/05 06:14:40 - mmengine - INFO - Epoch(train) [73][80/940] lr: 1.0000e-03 eta: 4:36:51 time: 0.5964 data_time: 0.0287 memory: 24011 grad_norm: 5.5499 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.6059 loss: 0.6059 2022/08/05 06:14:53 - mmengine - INFO - Epoch(train) [73][100/940] lr: 1.0000e-03 eta: 4:36:38 time: 0.6492 data_time: 0.0776 memory: 24011 grad_norm: 5.8742 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5973 loss: 0.5973 2022/08/05 06:15:06 - mmengine - INFO - Epoch(train) [73][120/940] lr: 1.0000e-03 eta: 4:36:26 time: 0.6325 data_time: 0.0273 memory: 24011 grad_norm: 5.1202 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5924 loss: 0.5924 2022/08/05 06:15:19 - mmengine - INFO - Epoch(train) [73][140/940] lr: 1.0000e-03 eta: 4:36:13 time: 0.6420 data_time: 0.0325 memory: 24011 grad_norm: 5.2572 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5779 loss: 0.5779 2022/08/05 06:15:31 - mmengine - INFO - Epoch(train) [73][160/940] lr: 1.0000e-03 eta: 4:36:00 time: 0.6099 data_time: 0.0336 memory: 24011 grad_norm: 5.1310 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6200 loss: 0.6200 2022/08/05 06:15:43 - mmengine - INFO - Epoch(train) [73][180/940] lr: 1.0000e-03 eta: 4:35:47 time: 0.5923 data_time: 0.0364 memory: 24011 grad_norm: 5.1214 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6019 loss: 0.6019 2022/08/05 06:15:55 - mmengine - INFO - Epoch(train) [73][200/940] lr: 1.0000e-03 eta: 4:35:34 time: 0.5968 data_time: 0.0290 memory: 24011 grad_norm: 5.5443 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6446 loss: 0.6446 2022/08/05 06:16:08 - mmengine - INFO - Epoch(train) [73][220/940] lr: 1.0000e-03 eta: 4:35:22 time: 0.6495 data_time: 0.0609 memory: 24011 grad_norm: 5.0286 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5887 loss: 0.5887 2022/08/05 06:16:20 - mmengine - INFO - Epoch(train) [73][240/940] lr: 1.0000e-03 eta: 4:35:09 time: 0.6049 data_time: 0.0345 memory: 24011 grad_norm: 6.3605 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5430 loss: 0.5430 2022/08/05 06:16:33 - mmengine - INFO - Epoch(train) [73][260/940] lr: 1.0000e-03 eta: 4:34:56 time: 0.6704 data_time: 0.0380 memory: 24011 grad_norm: 8.7630 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5529 loss: 0.5529 2022/08/05 06:16:46 - mmengine - INFO - Epoch(train) [73][280/940] lr: 1.0000e-03 eta: 4:34:44 time: 0.6249 data_time: 0.0349 memory: 24011 grad_norm: 6.5213 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6384 loss: 0.6384 2022/08/05 06:16:58 - mmengine - INFO - Epoch(train) [73][300/940] lr: 1.0000e-03 eta: 4:34:31 time: 0.6070 data_time: 0.0366 memory: 24011 grad_norm: 5.0314 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6896 loss: 0.6896 2022/08/05 06:17:11 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:17:11 - mmengine - INFO - Epoch(train) [73][320/940] lr: 1.0000e-03 eta: 4:34:18 time: 0.6245 data_time: 0.0336 memory: 24011 grad_norm: 5.2129 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6523 loss: 0.6523 2022/08/05 06:17:24 - mmengine - INFO - Epoch(train) [73][340/940] lr: 1.0000e-03 eta: 4:34:06 time: 0.6498 data_time: 0.0351 memory: 24011 grad_norm: 5.1767 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5730 loss: 0.5730 2022/08/05 06:17:36 - mmengine - INFO - Epoch(train) [73][360/940] lr: 1.0000e-03 eta: 4:33:53 time: 0.5987 data_time: 0.0420 memory: 24011 grad_norm: 5.1520 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5894 loss: 0.5894 2022/08/05 06:17:49 - mmengine - INFO - Epoch(train) [73][380/940] lr: 1.0000e-03 eta: 4:33:40 time: 0.6647 data_time: 0.0345 memory: 24011 grad_norm: 5.5290 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7062 loss: 0.7062 2022/08/05 06:18:01 - mmengine - INFO - Epoch(train) [73][400/940] lr: 1.0000e-03 eta: 4:33:27 time: 0.6111 data_time: 0.0338 memory: 24011 grad_norm: 5.1405 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6080 loss: 0.6080 2022/08/05 06:18:14 - mmengine - INFO - Epoch(train) [73][420/940] lr: 1.0000e-03 eta: 4:33:15 time: 0.6297 data_time: 0.0342 memory: 24011 grad_norm: 5.1604 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6127 loss: 0.6127 2022/08/05 06:18:26 - mmengine - INFO - Epoch(train) [73][440/940] lr: 1.0000e-03 eta: 4:33:02 time: 0.6251 data_time: 0.0417 memory: 24011 grad_norm: 7.6402 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6507 loss: 0.6507 2022/08/05 06:18:39 - mmengine - INFO - Epoch(train) [73][460/940] lr: 1.0000e-03 eta: 4:32:49 time: 0.6272 data_time: 0.0472 memory: 24011 grad_norm: 5.4296 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6789 loss: 0.6789 2022/08/05 06:18:51 - mmengine - INFO - Epoch(train) [73][480/940] lr: 1.0000e-03 eta: 4:32:36 time: 0.6070 data_time: 0.0369 memory: 24011 grad_norm: 5.4129 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5624 loss: 0.5624 2022/08/05 06:19:04 - mmengine - INFO - Epoch(train) [73][500/940] lr: 1.0000e-03 eta: 4:32:24 time: 0.6551 data_time: 0.0383 memory: 24011 grad_norm: 5.1349 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6048 loss: 0.6048 2022/08/05 06:19:17 - mmengine - INFO - Epoch(train) [73][520/940] lr: 1.0000e-03 eta: 4:32:11 time: 0.6277 data_time: 0.0391 memory: 24011 grad_norm: 5.4663 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6426 loss: 0.6426 2022/08/05 06:19:29 - mmengine - INFO - Epoch(train) [73][540/940] lr: 1.0000e-03 eta: 4:31:58 time: 0.6036 data_time: 0.0372 memory: 24011 grad_norm: 5.4439 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5426 loss: 0.5426 2022/08/05 06:19:41 - mmengine - INFO - Epoch(train) [73][560/940] lr: 1.0000e-03 eta: 4:31:45 time: 0.5929 data_time: 0.0305 memory: 24011 grad_norm: 5.4512 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5816 loss: 0.5816 2022/08/05 06:19:53 - mmengine - INFO - Epoch(train) [73][580/940] lr: 1.0000e-03 eta: 4:31:32 time: 0.6018 data_time: 0.0395 memory: 24011 grad_norm: 5.2206 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6555 loss: 0.6555 2022/08/05 06:20:06 - mmengine - INFO - Epoch(train) [73][600/940] lr: 1.0000e-03 eta: 4:31:20 time: 0.6569 data_time: 0.0346 memory: 24011 grad_norm: 5.3446 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.6077 loss: 0.6077 2022/08/05 06:20:18 - mmengine - INFO - Epoch(train) [73][620/940] lr: 1.0000e-03 eta: 4:31:07 time: 0.6151 data_time: 0.0362 memory: 24011 grad_norm: 5.9562 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.6038 loss: 0.6038 2022/08/05 06:20:30 - mmengine - INFO - Epoch(train) [73][640/940] lr: 1.0000e-03 eta: 4:30:54 time: 0.6031 data_time: 0.0346 memory: 24011 grad_norm: 6.0161 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5625 loss: 0.5625 2022/08/05 06:20:42 - mmengine - INFO - Epoch(train) [73][660/940] lr: 1.0000e-03 eta: 4:30:42 time: 0.6179 data_time: 0.0374 memory: 24011 grad_norm: 5.3630 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6698 loss: 0.6698 2022/08/05 06:20:55 - mmengine - INFO - Epoch(train) [73][680/940] lr: 1.0000e-03 eta: 4:30:29 time: 0.6050 data_time: 0.0563 memory: 24011 grad_norm: 5.4182 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5651 loss: 0.5651 2022/08/05 06:21:08 - mmengine - INFO - Epoch(train) [73][700/940] lr: 1.0000e-03 eta: 4:30:16 time: 0.6701 data_time: 0.0361 memory: 24011 grad_norm: 5.4616 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6225 loss: 0.6225 2022/08/05 06:21:20 - mmengine - INFO - Epoch(train) [73][720/940] lr: 1.0000e-03 eta: 4:30:04 time: 0.6222 data_time: 0.0337 memory: 24011 grad_norm: 5.4099 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6128 loss: 0.6128 2022/08/05 06:21:33 - mmengine - INFO - Epoch(train) [73][740/940] lr: 1.0000e-03 eta: 4:29:51 time: 0.6079 data_time: 0.0328 memory: 24011 grad_norm: 5.1983 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6123 loss: 0.6123 2022/08/05 06:21:45 - mmengine - INFO - Epoch(train) [73][760/940] lr: 1.0000e-03 eta: 4:29:38 time: 0.6182 data_time: 0.0415 memory: 24011 grad_norm: 5.9359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5909 loss: 0.5909 2022/08/05 06:21:58 - mmengine - INFO - Epoch(train) [73][780/940] lr: 1.0000e-03 eta: 4:29:25 time: 0.6340 data_time: 0.0402 memory: 24011 grad_norm: 5.2574 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5976 loss: 0.5976 2022/08/05 06:22:10 - mmengine - INFO - Epoch(train) [73][800/940] lr: 1.0000e-03 eta: 4:29:12 time: 0.6008 data_time: 0.0351 memory: 24011 grad_norm: 5.7367 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6293 loss: 0.6293 2022/08/05 06:22:23 - mmengine - INFO - Epoch(train) [73][820/940] lr: 1.0000e-03 eta: 4:29:00 time: 0.6741 data_time: 0.0363 memory: 24011 grad_norm: 5.6459 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6276 loss: 0.6276 2022/08/05 06:22:36 - mmengine - INFO - Epoch(train) [73][840/940] lr: 1.0000e-03 eta: 4:28:47 time: 0.6163 data_time: 0.0362 memory: 24011 grad_norm: 5.6656 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.6272 loss: 0.6272 2022/08/05 06:22:48 - mmengine - INFO - Epoch(train) [73][860/940] lr: 1.0000e-03 eta: 4:28:35 time: 0.6357 data_time: 0.0435 memory: 24011 grad_norm: 5.2648 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6026 loss: 0.6026 2022/08/05 06:23:01 - mmengine - INFO - Epoch(train) [73][880/940] lr: 1.0000e-03 eta: 4:28:22 time: 0.6216 data_time: 0.0322 memory: 24011 grad_norm: 5.3772 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6335 loss: 0.6335 2022/08/05 06:23:14 - mmengine - INFO - Epoch(train) [73][900/940] lr: 1.0000e-03 eta: 4:28:09 time: 0.6526 data_time: 0.0371 memory: 24011 grad_norm: 5.1731 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6754 loss: 0.6754 2022/08/05 06:23:26 - mmengine - INFO - Epoch(train) [73][920/940] lr: 1.0000e-03 eta: 4:27:56 time: 0.5912 data_time: 0.0385 memory: 24011 grad_norm: 5.5053 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6246 loss: 0.6246 2022/08/05 06:23:36 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:23:36 - mmengine - INFO - Epoch(train) [73][940/940] lr: 1.0000e-03 eta: 4:27:43 time: 0.5400 data_time: 0.0274 memory: 24011 grad_norm: 5.8956 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.5959 loss: 0.5959 2022/08/05 06:23:50 - mmengine - INFO - Epoch(val) [73][20/78] eta: 0:00:38 time: 0.6691 data_time: 0.5153 memory: 3625 2022/08/05 06:23:59 - mmengine - INFO - Epoch(val) [73][40/78] eta: 0:00:17 time: 0.4501 data_time: 0.2946 memory: 3625 2022/08/05 06:24:12 - mmengine - INFO - Epoch(val) [73][60/78] eta: 0:00:11 time: 0.6405 data_time: 0.4869 memory: 3625 2022/08/05 06:24:21 - mmengine - INFO - Epoch(val) [73][78/78] acc/top1: 0.7393 acc/top5: 0.9069 acc/mean1: 0.7392 2022/08/05 06:24:38 - mmengine - INFO - Epoch(train) [74][20/940] lr: 1.0000e-03 eta: 4:27:32 time: 0.8430 data_time: 0.2428 memory: 24011 grad_norm: 5.1441 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5705 loss: 0.5705 2022/08/05 06:24:51 - mmengine - INFO - Epoch(train) [74][40/940] lr: 1.0000e-03 eta: 4:27:19 time: 0.6270 data_time: 0.0711 memory: 24011 grad_norm: 5.5293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6678 loss: 0.6678 2022/08/05 06:25:04 - mmengine - INFO - Epoch(train) [74][60/940] lr: 1.0000e-03 eta: 4:27:07 time: 0.6468 data_time: 0.0503 memory: 24011 grad_norm: 5.3356 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5374 loss: 0.5374 2022/08/05 06:25:17 - mmengine - INFO - Epoch(train) [74][80/940] lr: 1.0000e-03 eta: 4:26:54 time: 0.6395 data_time: 0.0325 memory: 24011 grad_norm: 5.6126 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6886 loss: 0.6886 2022/08/05 06:25:29 - mmengine - INFO - Epoch(train) [74][100/940] lr: 1.0000e-03 eta: 4:26:41 time: 0.6211 data_time: 0.0425 memory: 24011 grad_norm: 5.0437 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5348 loss: 0.5348 2022/08/05 06:25:42 - mmengine - INFO - Epoch(train) [74][120/940] lr: 1.0000e-03 eta: 4:26:29 time: 0.6594 data_time: 0.0269 memory: 24011 grad_norm: 5.3724 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6110 loss: 0.6110 2022/08/05 06:25:55 - mmengine - INFO - Epoch(train) [74][140/940] lr: 1.0000e-03 eta: 4:26:16 time: 0.6200 data_time: 0.0369 memory: 24011 grad_norm: 5.3624 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6157 loss: 0.6157 2022/08/05 06:26:07 - mmengine - INFO - Epoch(train) [74][160/940] lr: 1.0000e-03 eta: 4:26:03 time: 0.6344 data_time: 0.0304 memory: 24011 grad_norm: 5.3514 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6193 loss: 0.6193 2022/08/05 06:26:19 - mmengine - INFO - Epoch(train) [74][180/940] lr: 1.0000e-03 eta: 4:25:51 time: 0.5991 data_time: 0.0379 memory: 24011 grad_norm: 5.7032 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5239 loss: 0.5239 2022/08/05 06:26:32 - mmengine - INFO - Epoch(train) [74][200/940] lr: 1.0000e-03 eta: 4:25:38 time: 0.6107 data_time: 0.0405 memory: 24011 grad_norm: 5.2621 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6732 loss: 0.6732 2022/08/05 06:26:44 - mmengine - INFO - Epoch(train) [74][220/940] lr: 1.0000e-03 eta: 4:25:25 time: 0.6263 data_time: 0.0722 memory: 24011 grad_norm: 5.0253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5841 loss: 0.5841 2022/08/05 06:26:57 - mmengine - INFO - Epoch(train) [74][240/940] lr: 1.0000e-03 eta: 4:25:12 time: 0.6295 data_time: 0.0573 memory: 24011 grad_norm: 5.6940 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6746 loss: 0.6746 2022/08/05 06:27:09 - mmengine - INFO - Epoch(train) [74][260/940] lr: 1.0000e-03 eta: 4:25:00 time: 0.6229 data_time: 0.0700 memory: 24011 grad_norm: 4.9182 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.6567 loss: 0.6567 2022/08/05 06:27:21 - mmengine - INFO - Epoch(train) [74][280/940] lr: 1.0000e-03 eta: 4:24:47 time: 0.6160 data_time: 0.0610 memory: 24011 grad_norm: 5.1537 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6715 loss: 0.6715 2022/08/05 06:27:36 - mmengine - INFO - Epoch(train) [74][300/940] lr: 1.0000e-03 eta: 4:24:35 time: 0.7205 data_time: 0.1694 memory: 24011 grad_norm: 5.3245 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6176 loss: 0.6176 2022/08/05 06:27:48 - mmengine - INFO - Epoch(train) [74][320/940] lr: 1.0000e-03 eta: 4:24:22 time: 0.6095 data_time: 0.0581 memory: 24011 grad_norm: 4.8890 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6026 loss: 0.6026 2022/08/05 06:28:00 - mmengine - INFO - Epoch(train) [74][340/940] lr: 1.0000e-03 eta: 4:24:09 time: 0.6101 data_time: 0.0602 memory: 24011 grad_norm: 5.1924 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6158 loss: 0.6158 2022/08/05 06:28:13 - mmengine - INFO - Epoch(train) [74][360/940] lr: 1.0000e-03 eta: 4:23:56 time: 0.6164 data_time: 0.0651 memory: 24011 grad_norm: 5.2548 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6311 loss: 0.6311 2022/08/05 06:28:25 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:28:25 - mmengine - INFO - Epoch(train) [74][380/940] lr: 1.0000e-03 eta: 4:23:44 time: 0.6280 data_time: 0.0823 memory: 24011 grad_norm: 5.0154 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.6208 loss: 0.6208 2022/08/05 06:28:37 - mmengine - INFO - Epoch(train) [74][400/940] lr: 1.0000e-03 eta: 4:23:31 time: 0.6053 data_time: 0.0334 memory: 24011 grad_norm: 5.1884 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5497 loss: 0.5497 2022/08/05 06:28:49 - mmengine - INFO - Epoch(train) [74][420/940] lr: 1.0000e-03 eta: 4:23:18 time: 0.6039 data_time: 0.0356 memory: 24011 grad_norm: 5.5236 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5375 loss: 0.5375 2022/08/05 06:29:02 - mmengine - INFO - Epoch(train) [74][440/940] lr: 1.0000e-03 eta: 4:23:05 time: 0.6444 data_time: 0.0880 memory: 24011 grad_norm: 4.9281 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.6087 loss: 0.6087 2022/08/05 06:29:15 - mmengine - INFO - Epoch(train) [74][460/940] lr: 1.0000e-03 eta: 4:22:53 time: 0.6575 data_time: 0.0983 memory: 24011 grad_norm: 5.3644 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6113 loss: 0.6113 2022/08/05 06:29:28 - mmengine - INFO - Epoch(train) [74][480/940] lr: 1.0000e-03 eta: 4:22:40 time: 0.6320 data_time: 0.0462 memory: 24011 grad_norm: 5.2439 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5843 loss: 0.5843 2022/08/05 06:29:40 - mmengine - INFO - Epoch(train) [74][500/940] lr: 1.0000e-03 eta: 4:22:27 time: 0.5931 data_time: 0.0426 memory: 24011 grad_norm: 5.2054 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6433 loss: 0.6433 2022/08/05 06:29:52 - mmengine - INFO - Epoch(train) [74][520/940] lr: 1.0000e-03 eta: 4:22:15 time: 0.6212 data_time: 0.0563 memory: 24011 grad_norm: 5.5328 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6466 loss: 0.6466 2022/08/05 06:30:05 - mmengine - INFO - Epoch(train) [74][540/940] lr: 1.0000e-03 eta: 4:22:02 time: 0.6466 data_time: 0.0925 memory: 24011 grad_norm: 5.8526 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6098 loss: 0.6098 2022/08/05 06:30:18 - mmengine - INFO - Epoch(train) [74][560/940] lr: 1.0000e-03 eta: 4:21:49 time: 0.6349 data_time: 0.0691 memory: 24011 grad_norm: 4.9018 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.5591 loss: 0.5591 2022/08/05 06:30:31 - mmengine - INFO - Epoch(train) [74][580/940] lr: 1.0000e-03 eta: 4:21:37 time: 0.6363 data_time: 0.0887 memory: 24011 grad_norm: 5.2339 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6004 loss: 0.6004 2022/08/05 06:30:43 - mmengine - INFO - Epoch(train) [74][600/940] lr: 1.0000e-03 eta: 4:21:24 time: 0.6087 data_time: 0.0314 memory: 24011 grad_norm: 5.7286 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5944 loss: 0.5944 2022/08/05 06:30:55 - mmengine - INFO - Epoch(train) [74][620/940] lr: 1.0000e-03 eta: 4:21:11 time: 0.6172 data_time: 0.0677 memory: 24011 grad_norm: 5.1144 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5762 loss: 0.5762 2022/08/05 06:31:07 - mmengine - INFO - Epoch(train) [74][640/940] lr: 1.0000e-03 eta: 4:20:58 time: 0.5946 data_time: 0.0334 memory: 24011 grad_norm: 5.1730 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6145 loss: 0.6145 2022/08/05 06:31:20 - mmengine - INFO - Epoch(train) [74][660/940] lr: 1.0000e-03 eta: 4:20:45 time: 0.6214 data_time: 0.0628 memory: 24011 grad_norm: 5.1973 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5985 loss: 0.5985 2022/08/05 06:31:32 - mmengine - INFO - Epoch(train) [74][680/940] lr: 1.0000e-03 eta: 4:20:33 time: 0.6302 data_time: 0.0491 memory: 24011 grad_norm: 5.8968 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5938 loss: 0.5938 2022/08/05 06:31:44 - mmengine - INFO - Epoch(train) [74][700/940] lr: 1.0000e-03 eta: 4:20:20 time: 0.5879 data_time: 0.0384 memory: 24011 grad_norm: 5.4780 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6403 loss: 0.6403 2022/08/05 06:31:56 - mmengine - INFO - Epoch(train) [74][720/940] lr: 1.0000e-03 eta: 4:20:07 time: 0.6007 data_time: 0.0438 memory: 24011 grad_norm: 5.3073 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6581 loss: 0.6581 2022/08/05 06:32:09 - mmengine - INFO - Epoch(train) [74][740/940] lr: 1.0000e-03 eta: 4:19:54 time: 0.6420 data_time: 0.0770 memory: 24011 grad_norm: 5.0994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4994 loss: 0.4994 2022/08/05 06:32:21 - mmengine - INFO - Epoch(train) [74][760/940] lr: 1.0000e-03 eta: 4:19:42 time: 0.6253 data_time: 0.0531 memory: 24011 grad_norm: 5.2879 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5868 loss: 0.5868 2022/08/05 06:32:34 - mmengine - INFO - Epoch(train) [74][780/940] lr: 1.0000e-03 eta: 4:19:29 time: 0.6207 data_time: 0.0456 memory: 24011 grad_norm: 6.4319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6534 loss: 0.6534 2022/08/05 06:32:46 - mmengine - INFO - Epoch(train) [74][800/940] lr: 1.0000e-03 eta: 4:19:16 time: 0.6147 data_time: 0.0262 memory: 24011 grad_norm: 5.1016 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5793 loss: 0.5793 2022/08/05 06:32:59 - mmengine - INFO - Epoch(train) [74][820/940] lr: 1.0000e-03 eta: 4:19:03 time: 0.6498 data_time: 0.0377 memory: 24011 grad_norm: 5.2220 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6041 loss: 0.6041 2022/08/05 06:33:11 - mmengine - INFO - Epoch(train) [74][840/940] lr: 1.0000e-03 eta: 4:18:51 time: 0.6192 data_time: 0.0480 memory: 24011 grad_norm: 5.2254 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6007 loss: 0.6007 2022/08/05 06:33:24 - mmengine - INFO - Epoch(train) [74][860/940] lr: 1.0000e-03 eta: 4:18:38 time: 0.6241 data_time: 0.0361 memory: 24011 grad_norm: 5.3902 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5947 loss: 0.5947 2022/08/05 06:33:37 - mmengine - INFO - Epoch(train) [74][880/940] lr: 1.0000e-03 eta: 4:18:25 time: 0.6361 data_time: 0.0531 memory: 24011 grad_norm: 5.0991 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6146 loss: 0.6146 2022/08/05 06:33:49 - mmengine - INFO - Epoch(train) [74][900/940] lr: 1.0000e-03 eta: 4:18:13 time: 0.6224 data_time: 0.0496 memory: 24011 grad_norm: 5.5607 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6379 loss: 0.6379 2022/08/05 06:34:01 - mmengine - INFO - Epoch(train) [74][920/940] lr: 1.0000e-03 eta: 4:18:00 time: 0.6065 data_time: 0.0294 memory: 24011 grad_norm: 5.3339 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5596 loss: 0.5596 2022/08/05 06:34:12 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:34:12 - mmengine - INFO - Epoch(train) [74][940/940] lr: 1.0000e-03 eta: 4:17:47 time: 0.5443 data_time: 0.0300 memory: 24011 grad_norm: 5.7043 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5699 loss: 0.5699 2022/08/05 06:34:26 - mmengine - INFO - Epoch(val) [74][20/78] eta: 0:00:38 time: 0.6700 data_time: 0.5137 memory: 3625 2022/08/05 06:34:35 - mmengine - INFO - Epoch(val) [74][40/78] eta: 0:00:17 time: 0.4499 data_time: 0.2987 memory: 3625 2022/08/05 06:34:47 - mmengine - INFO - Epoch(val) [74][60/78] eta: 0:00:11 time: 0.6124 data_time: 0.4584 memory: 3625 2022/08/05 06:34:57 - mmengine - INFO - Epoch(val) [74][78/78] acc/top1: 0.7396 acc/top5: 0.9070 acc/mean1: 0.7395 2022/08/05 06:35:15 - mmengine - INFO - Epoch(train) [75][20/940] lr: 1.0000e-03 eta: 4:17:36 time: 0.8950 data_time: 0.2319 memory: 24011 grad_norm: 4.9279 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6544 loss: 0.6544 2022/08/05 06:35:27 - mmengine - INFO - Epoch(train) [75][40/940] lr: 1.0000e-03 eta: 4:17:23 time: 0.6155 data_time: 0.0440 memory: 24011 grad_norm: 5.2669 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6736 loss: 0.6736 2022/08/05 06:35:40 - mmengine - INFO - Epoch(train) [75][60/940] lr: 1.0000e-03 eta: 4:17:10 time: 0.6266 data_time: 0.0356 memory: 24011 grad_norm: 5.2946 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6668 loss: 0.6668 2022/08/05 06:35:52 - mmengine - INFO - Epoch(train) [75][80/940] lr: 1.0000e-03 eta: 4:16:57 time: 0.6199 data_time: 0.0291 memory: 24011 grad_norm: 5.1938 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5997 loss: 0.5997 2022/08/05 06:36:05 - mmengine - INFO - Epoch(train) [75][100/940] lr: 1.0000e-03 eta: 4:16:45 time: 0.6452 data_time: 0.0352 memory: 24011 grad_norm: 6.4269 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5493 loss: 0.5493 2022/08/05 06:36:18 - mmengine - INFO - Epoch(train) [75][120/940] lr: 1.0000e-03 eta: 4:16:32 time: 0.6264 data_time: 0.0280 memory: 24011 grad_norm: 4.8603 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.5075 loss: 0.5075 2022/08/05 06:36:30 - mmengine - INFO - Epoch(train) [75][140/940] lr: 1.0000e-03 eta: 4:16:19 time: 0.6251 data_time: 0.0795 memory: 24011 grad_norm: 6.2892 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5302 loss: 0.5302 2022/08/05 06:36:43 - mmengine - INFO - Epoch(train) [75][160/940] lr: 1.0000e-03 eta: 4:16:07 time: 0.6316 data_time: 0.0620 memory: 24011 grad_norm: 5.5431 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6059 loss: 0.6059 2022/08/05 06:36:55 - mmengine - INFO - Epoch(train) [75][180/940] lr: 1.0000e-03 eta: 4:15:54 time: 0.6139 data_time: 0.0620 memory: 24011 grad_norm: 5.2952 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5535 loss: 0.5535 2022/08/05 06:37:08 - mmengine - INFO - Epoch(train) [75][200/940] lr: 1.0000e-03 eta: 4:15:41 time: 0.6335 data_time: 0.0548 memory: 24011 grad_norm: 5.3931 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4757 loss: 0.4757 2022/08/05 06:37:20 - mmengine - INFO - Epoch(train) [75][220/940] lr: 1.0000e-03 eta: 4:15:29 time: 0.6052 data_time: 0.0316 memory: 24011 grad_norm: 5.1156 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6303 loss: 0.6303 2022/08/05 06:37:33 - mmengine - INFO - Epoch(train) [75][240/940] lr: 1.0000e-03 eta: 4:15:16 time: 0.6321 data_time: 0.0299 memory: 24011 grad_norm: 5.1866 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5761 loss: 0.5761 2022/08/05 06:37:46 - mmengine - INFO - Epoch(train) [75][260/940] lr: 1.0000e-03 eta: 4:15:03 time: 0.6531 data_time: 0.0358 memory: 24011 grad_norm: 5.7543 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5970 loss: 0.5970 2022/08/05 06:37:58 - mmengine - INFO - Epoch(train) [75][280/940] lr: 1.0000e-03 eta: 4:14:50 time: 0.6023 data_time: 0.0302 memory: 24011 grad_norm: 5.5244 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5440 loss: 0.5440 2022/08/05 06:38:10 - mmengine - INFO - Epoch(train) [75][300/940] lr: 1.0000e-03 eta: 4:14:38 time: 0.6036 data_time: 0.0348 memory: 24011 grad_norm: 5.0782 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5368 loss: 0.5368 2022/08/05 06:38:22 - mmengine - INFO - Epoch(train) [75][320/940] lr: 1.0000e-03 eta: 4:14:25 time: 0.6245 data_time: 0.0327 memory: 24011 grad_norm: 5.8649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6063 loss: 0.6063 2022/08/05 06:38:36 - mmengine - INFO - Epoch(train) [75][340/940] lr: 1.0000e-03 eta: 4:14:12 time: 0.6642 data_time: 0.0338 memory: 24011 grad_norm: 5.2939 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6025 loss: 0.6025 2022/08/05 06:38:48 - mmengine - INFO - Epoch(train) [75][360/940] lr: 1.0000e-03 eta: 4:14:00 time: 0.5983 data_time: 0.0371 memory: 24011 grad_norm: 4.8630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5798 loss: 0.5798 2022/08/05 06:39:00 - mmengine - INFO - Epoch(train) [75][380/940] lr: 1.0000e-03 eta: 4:13:47 time: 0.6303 data_time: 0.0386 memory: 24011 grad_norm: 5.6122 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5285 loss: 0.5285 2022/08/05 06:39:12 - mmengine - INFO - Epoch(train) [75][400/940] lr: 1.0000e-03 eta: 4:13:34 time: 0.6056 data_time: 0.0347 memory: 24011 grad_norm: 6.0720 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6465 loss: 0.6465 2022/08/05 06:39:26 - mmengine - INFO - Epoch(train) [75][420/940] lr: 1.0000e-03 eta: 4:13:22 time: 0.6773 data_time: 0.0409 memory: 24011 grad_norm: 5.6674 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5549 loss: 0.5549 2022/08/05 06:39:38 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:39:38 - mmengine - INFO - Epoch(train) [75][440/940] lr: 1.0000e-03 eta: 4:13:09 time: 0.5925 data_time: 0.0415 memory: 24011 grad_norm: 5.3115 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6609 loss: 0.6609 2022/08/05 06:39:51 - mmengine - INFO - Epoch(train) [75][460/940] lr: 1.0000e-03 eta: 4:12:56 time: 0.6469 data_time: 0.0336 memory: 24011 grad_norm: 6.0144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5724 loss: 0.5724 2022/08/05 06:40:03 - mmengine - INFO - Epoch(train) [75][480/940] lr: 1.0000e-03 eta: 4:12:43 time: 0.6115 data_time: 0.0438 memory: 24011 grad_norm: 5.3866 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5834 loss: 0.5834 2022/08/05 06:40:16 - mmengine - INFO - Epoch(train) [75][500/940] lr: 1.0000e-03 eta: 4:12:31 time: 0.6599 data_time: 0.0323 memory: 24011 grad_norm: 5.1343 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5689 loss: 0.5689 2022/08/05 06:40:29 - mmengine - INFO - Epoch(train) [75][520/940] lr: 1.0000e-03 eta: 4:12:18 time: 0.6247 data_time: 0.0371 memory: 24011 grad_norm: 5.3496 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6661 loss: 0.6661 2022/08/05 06:40:41 - mmengine - INFO - Epoch(train) [75][540/940] lr: 1.0000e-03 eta: 4:12:05 time: 0.6184 data_time: 0.0348 memory: 24011 grad_norm: 5.0880 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.5632 loss: 0.5632 2022/08/05 06:40:53 - mmengine - INFO - Epoch(train) [75][560/940] lr: 1.0000e-03 eta: 4:11:53 time: 0.6011 data_time: 0.0460 memory: 24011 grad_norm: 5.1555 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5701 loss: 0.5701 2022/08/05 06:41:05 - mmengine - INFO - Epoch(train) [75][580/940] lr: 1.0000e-03 eta: 4:11:40 time: 0.6032 data_time: 0.0278 memory: 24011 grad_norm: 5.2685 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6240 loss: 0.6240 2022/08/05 06:41:17 - mmengine - INFO - Epoch(train) [75][600/940] lr: 1.0000e-03 eta: 4:11:27 time: 0.6117 data_time: 0.0394 memory: 24011 grad_norm: 5.7700 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5959 loss: 0.5959 2022/08/05 06:41:30 - mmengine - INFO - Epoch(train) [75][620/940] lr: 1.0000e-03 eta: 4:11:14 time: 0.6223 data_time: 0.0344 memory: 24011 grad_norm: 5.2793 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6002 loss: 0.6002 2022/08/05 06:41:42 - mmengine - INFO - Epoch(train) [75][640/940] lr: 1.0000e-03 eta: 4:11:01 time: 0.6009 data_time: 0.0367 memory: 24011 grad_norm: 5.3903 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5513 loss: 0.5513 2022/08/05 06:41:54 - mmengine - INFO - Epoch(train) [75][660/940] lr: 1.0000e-03 eta: 4:10:49 time: 0.6184 data_time: 0.0335 memory: 24011 grad_norm: 5.1209 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6960 loss: 0.6960 2022/08/05 06:42:06 - mmengine - INFO - Epoch(train) [75][680/940] lr: 1.0000e-03 eta: 4:10:36 time: 0.5950 data_time: 0.0374 memory: 24011 grad_norm: 5.7175 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5534 loss: 0.5534 2022/08/05 06:42:20 - mmengine - INFO - Epoch(train) [75][700/940] lr: 1.0000e-03 eta: 4:10:23 time: 0.7045 data_time: 0.0348 memory: 24011 grad_norm: 5.2875 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6649 loss: 0.6649 2022/08/05 06:42:32 - mmengine - INFO - Epoch(train) [75][720/940] lr: 1.0000e-03 eta: 4:10:11 time: 0.5960 data_time: 0.0434 memory: 24011 grad_norm: 5.3787 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5792 loss: 0.5792 2022/08/05 06:42:45 - mmengine - INFO - Epoch(train) [75][740/940] lr: 1.0000e-03 eta: 4:09:58 time: 0.6248 data_time: 0.0366 memory: 24011 grad_norm: 5.3235 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5975 loss: 0.5975 2022/08/05 06:42:56 - mmengine - INFO - Epoch(train) [75][760/940] lr: 1.0000e-03 eta: 4:09:45 time: 0.5956 data_time: 0.0367 memory: 24011 grad_norm: 5.2971 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5720 loss: 0.5720 2022/08/05 06:43:10 - mmengine - INFO - Epoch(train) [75][780/940] lr: 1.0000e-03 eta: 4:09:33 time: 0.6746 data_time: 0.0668 memory: 24011 grad_norm: 5.6056 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6225 loss: 0.6225 2022/08/05 06:43:23 - mmengine - INFO - Epoch(train) [75][800/940] lr: 1.0000e-03 eta: 4:09:20 time: 0.6427 data_time: 0.0296 memory: 24011 grad_norm: 5.0788 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5320 loss: 0.5320 2022/08/05 06:43:35 - mmengine - INFO - Epoch(train) [75][820/940] lr: 1.0000e-03 eta: 4:09:07 time: 0.6110 data_time: 0.0336 memory: 24011 grad_norm: 5.1772 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5924 loss: 0.5924 2022/08/05 06:43:48 - mmengine - INFO - Epoch(train) [75][840/940] lr: 1.0000e-03 eta: 4:08:54 time: 0.6238 data_time: 0.0334 memory: 24011 grad_norm: 5.2820 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6084 loss: 0.6084 2022/08/05 06:44:00 - mmengine - INFO - Epoch(train) [75][860/940] lr: 1.0000e-03 eta: 4:08:42 time: 0.6098 data_time: 0.0372 memory: 24011 grad_norm: 5.3090 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5864 loss: 0.5864 2022/08/05 06:44:13 - mmengine - INFO - Epoch(train) [75][880/940] lr: 1.0000e-03 eta: 4:08:29 time: 0.6552 data_time: 0.1058 memory: 24011 grad_norm: 5.5083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5747 loss: 0.5747 2022/08/05 06:44:26 - mmengine - INFO - Epoch(train) [75][900/940] lr: 1.0000e-03 eta: 4:08:16 time: 0.6352 data_time: 0.0599 memory: 24011 grad_norm: 5.2176 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6392 loss: 0.6392 2022/08/05 06:44:37 - mmengine - INFO - Epoch(train) [75][920/940] lr: 1.0000e-03 eta: 4:08:04 time: 0.5952 data_time: 0.0442 memory: 24011 grad_norm: 5.2872 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6967 loss: 0.6967 2022/08/05 06:44:48 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:44:48 - mmengine - INFO - Epoch(train) [75][940/940] lr: 1.0000e-03 eta: 4:07:50 time: 0.5248 data_time: 0.0232 memory: 24011 grad_norm: 5.2719 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.6801 loss: 0.6801 2022/08/05 06:44:48 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/08/05 06:45:06 - mmengine - INFO - Epoch(val) [75][20/78] eta: 0:00:38 time: 0.6636 data_time: 0.5107 memory: 3625 2022/08/05 06:45:15 - mmengine - INFO - Epoch(val) [75][40/78] eta: 0:00:16 time: 0.4469 data_time: 0.2952 memory: 3625 2022/08/05 06:45:27 - mmengine - INFO - Epoch(val) [75][60/78] eta: 0:00:11 time: 0.6238 data_time: 0.4646 memory: 3625 2022/08/05 06:45:37 - mmengine - INFO - Epoch(val) [75][78/78] acc/top1: 0.7417 acc/top5: 0.9067 acc/mean1: 0.7415 2022/08/05 06:45:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_65.pth is removed 2022/08/05 06:45:40 - mmengine - INFO - The best checkpoint with 0.7417 acc/top1 at 76 epoch is saved to best_acc/top1_epoch_76.pth. 2022/08/05 06:45:56 - mmengine - INFO - Epoch(train) [76][20/940] lr: 1.0000e-03 eta: 4:07:39 time: 0.8082 data_time: 0.2698 memory: 24011 grad_norm: 5.2928 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5572 loss: 0.5572 2022/08/05 06:46:08 - mmengine - INFO - Epoch(train) [76][40/940] lr: 1.0000e-03 eta: 4:07:26 time: 0.5832 data_time: 0.0416 memory: 24011 grad_norm: 5.1729 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6357 loss: 0.6357 2022/08/05 06:46:20 - mmengine - INFO - Epoch(train) [76][60/940] lr: 1.0000e-03 eta: 4:07:13 time: 0.6205 data_time: 0.0782 memory: 24011 grad_norm: 4.9096 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5488 loss: 0.5488 2022/08/05 06:46:33 - mmengine - INFO - Epoch(train) [76][80/940] lr: 1.0000e-03 eta: 4:07:00 time: 0.6115 data_time: 0.0546 memory: 24011 grad_norm: 5.3125 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5042 loss: 0.5042 2022/08/05 06:46:45 - mmengine - INFO - Epoch(train) [76][100/940] lr: 1.0000e-03 eta: 4:06:47 time: 0.6227 data_time: 0.0830 memory: 24011 grad_norm: 4.9971 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5792 loss: 0.5792 2022/08/05 06:46:57 - mmengine - INFO - Epoch(train) [76][120/940] lr: 1.0000e-03 eta: 4:06:35 time: 0.6017 data_time: 0.0510 memory: 24011 grad_norm: 5.0548 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6664 loss: 0.6664 2022/08/05 06:47:10 - mmengine - INFO - Epoch(train) [76][140/940] lr: 1.0000e-03 eta: 4:06:22 time: 0.6460 data_time: 0.0722 memory: 24011 grad_norm: 5.0985 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5897 loss: 0.5897 2022/08/05 06:47:23 - mmengine - INFO - Epoch(train) [76][160/940] lr: 1.0000e-03 eta: 4:06:09 time: 0.6262 data_time: 0.0672 memory: 24011 grad_norm: 5.2726 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5398 loss: 0.5398 2022/08/05 06:47:36 - mmengine - INFO - Epoch(train) [76][180/940] lr: 1.0000e-03 eta: 4:05:57 time: 0.6687 data_time: 0.0985 memory: 24011 grad_norm: 5.2646 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5998 loss: 0.5998 2022/08/05 06:47:48 - mmengine - INFO - Epoch(train) [76][200/940] lr: 1.0000e-03 eta: 4:05:44 time: 0.6138 data_time: 0.0601 memory: 24011 grad_norm: 5.1381 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5779 loss: 0.5779 2022/08/05 06:48:01 - mmengine - INFO - Epoch(train) [76][220/940] lr: 1.0000e-03 eta: 4:05:31 time: 0.6261 data_time: 0.0517 memory: 24011 grad_norm: 5.2730 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5763 loss: 0.5763 2022/08/05 06:48:13 - mmengine - INFO - Epoch(train) [76][240/940] lr: 1.0000e-03 eta: 4:05:19 time: 0.6062 data_time: 0.0450 memory: 24011 grad_norm: 5.7285 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5609 loss: 0.5609 2022/08/05 06:48:25 - mmengine - INFO - Epoch(train) [76][260/940] lr: 1.0000e-03 eta: 4:05:06 time: 0.6096 data_time: 0.0473 memory: 24011 grad_norm: 5.0912 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6393 loss: 0.6393 2022/08/05 06:48:38 - mmengine - INFO - Epoch(train) [76][280/940] lr: 1.0000e-03 eta: 4:04:53 time: 0.6277 data_time: 0.0329 memory: 24011 grad_norm: 5.0960 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5440 loss: 0.5440 2022/08/05 06:48:50 - mmengine - INFO - Epoch(train) [76][300/940] lr: 1.0000e-03 eta: 4:04:41 time: 0.6440 data_time: 0.0382 memory: 24011 grad_norm: 5.2059 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6235 loss: 0.6235 2022/08/05 06:49:02 - mmengine - INFO - Epoch(train) [76][320/940] lr: 1.0000e-03 eta: 4:04:28 time: 0.5839 data_time: 0.0358 memory: 24011 grad_norm: 5.3090 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6379 loss: 0.6379 2022/08/05 06:49:15 - mmengine - INFO - Epoch(train) [76][340/940] lr: 1.0000e-03 eta: 4:04:15 time: 0.6396 data_time: 0.0759 memory: 24011 grad_norm: 5.2135 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6441 loss: 0.6441 2022/08/05 06:49:28 - mmengine - INFO - Epoch(train) [76][360/940] lr: 1.0000e-03 eta: 4:04:02 time: 0.6300 data_time: 0.0640 memory: 24011 grad_norm: 5.1303 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6118 loss: 0.6118 2022/08/05 06:49:41 - mmengine - INFO - Epoch(train) [76][380/940] lr: 1.0000e-03 eta: 4:03:50 time: 0.6707 data_time: 0.0462 memory: 24011 grad_norm: 5.1274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5872 loss: 0.5872 2022/08/05 06:49:54 - mmengine - INFO - Epoch(train) [76][400/940] lr: 1.0000e-03 eta: 4:03:37 time: 0.6362 data_time: 0.0315 memory: 24011 grad_norm: 4.9623 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6137 loss: 0.6137 2022/08/05 06:50:06 - mmengine - INFO - Epoch(train) [76][420/940] lr: 1.0000e-03 eta: 4:03:24 time: 0.6069 data_time: 0.0367 memory: 24011 grad_norm: 5.1604 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6093 loss: 0.6093 2022/08/05 06:50:18 - mmengine - INFO - Epoch(train) [76][440/940] lr: 1.0000e-03 eta: 4:03:12 time: 0.6218 data_time: 0.0335 memory: 24011 grad_norm: 4.9919 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6540 loss: 0.6540 2022/08/05 06:50:31 - mmengine - INFO - Epoch(train) [76][460/940] lr: 1.0000e-03 eta: 4:02:59 time: 0.6216 data_time: 0.0379 memory: 24011 grad_norm: 5.3016 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6208 loss: 0.6208 2022/08/05 06:50:43 - mmengine - INFO - Epoch(train) [76][480/940] lr: 1.0000e-03 eta: 4:02:46 time: 0.6039 data_time: 0.0301 memory: 24011 grad_norm: 5.1994 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5720 loss: 0.5720 2022/08/05 06:50:55 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:50:55 - mmengine - INFO - Epoch(train) [76][500/940] lr: 1.0000e-03 eta: 4:02:33 time: 0.5947 data_time: 0.0375 memory: 24011 grad_norm: 5.0589 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5362 loss: 0.5362 2022/08/05 06:51:07 - mmengine - INFO - Epoch(train) [76][520/940] lr: 1.0000e-03 eta: 4:02:20 time: 0.5964 data_time: 0.0277 memory: 24011 grad_norm: 5.2436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6042 loss: 0.6042 2022/08/05 06:51:19 - mmengine - INFO - Epoch(train) [76][540/940] lr: 1.0000e-03 eta: 4:02:07 time: 0.6079 data_time: 0.0423 memory: 24011 grad_norm: 5.0958 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5694 loss: 0.5694 2022/08/05 06:51:32 - mmengine - INFO - Epoch(train) [76][560/940] lr: 1.0000e-03 eta: 4:01:55 time: 0.6484 data_time: 0.0326 memory: 24011 grad_norm: 5.4753 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5041 loss: 0.5041 2022/08/05 06:51:44 - mmengine - INFO - Epoch(train) [76][580/940] lr: 1.0000e-03 eta: 4:01:42 time: 0.6166 data_time: 0.0360 memory: 24011 grad_norm: 5.0201 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6524 loss: 0.6524 2022/08/05 06:51:57 - mmengine - INFO - Epoch(train) [76][600/940] lr: 1.0000e-03 eta: 4:01:29 time: 0.6240 data_time: 0.0368 memory: 24011 grad_norm: 5.0866 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6043 loss: 0.6043 2022/08/05 06:52:09 - mmengine - INFO - Epoch(train) [76][620/940] lr: 1.0000e-03 eta: 4:01:17 time: 0.6337 data_time: 0.0357 memory: 24011 grad_norm: 5.6447 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6338 loss: 0.6338 2022/08/05 06:52:22 - mmengine - INFO - Epoch(train) [76][640/940] lr: 1.0000e-03 eta: 4:01:04 time: 0.6413 data_time: 0.0334 memory: 24011 grad_norm: 5.2789 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6459 loss: 0.6459 2022/08/05 06:52:34 - mmengine - INFO - Epoch(train) [76][660/940] lr: 1.0000e-03 eta: 4:00:51 time: 0.5877 data_time: 0.0342 memory: 24011 grad_norm: 5.3434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5597 loss: 0.5597 2022/08/05 06:52:47 - mmengine - INFO - Epoch(train) [76][680/940] lr: 1.0000e-03 eta: 4:00:39 time: 0.6680 data_time: 0.0418 memory: 24011 grad_norm: 5.4966 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6028 loss: 0.6028 2022/08/05 06:52:59 - mmengine - INFO - Epoch(train) [76][700/940] lr: 1.0000e-03 eta: 4:00:26 time: 0.6043 data_time: 0.0510 memory: 24011 grad_norm: 5.8768 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6010 loss: 0.6010 2022/08/05 06:53:12 - mmengine - INFO - Epoch(train) [76][720/940] lr: 1.0000e-03 eta: 4:00:13 time: 0.6486 data_time: 0.0359 memory: 24011 grad_norm: 5.0286 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.6370 loss: 0.6370 2022/08/05 06:53:25 - mmengine - INFO - Epoch(train) [76][740/940] lr: 1.0000e-03 eta: 4:00:01 time: 0.6174 data_time: 0.0364 memory: 24011 grad_norm: 5.1961 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6266 loss: 0.6266 2022/08/05 06:53:37 - mmengine - INFO - Epoch(train) [76][760/940] lr: 1.0000e-03 eta: 3:59:48 time: 0.6010 data_time: 0.0398 memory: 24011 grad_norm: 5.2333 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5739 loss: 0.5739 2022/08/05 06:53:49 - mmengine - INFO - Epoch(train) [76][780/940] lr: 1.0000e-03 eta: 3:59:35 time: 0.6248 data_time: 0.0357 memory: 24011 grad_norm: 5.2527 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.5696 loss: 0.5696 2022/08/05 06:54:01 - mmengine - INFO - Epoch(train) [76][800/940] lr: 1.0000e-03 eta: 3:59:22 time: 0.6076 data_time: 0.0396 memory: 24011 grad_norm: 5.1351 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5620 loss: 0.5620 2022/08/05 06:54:14 - mmengine - INFO - Epoch(train) [76][820/940] lr: 1.0000e-03 eta: 3:59:10 time: 0.6352 data_time: 0.0370 memory: 24011 grad_norm: 5.7113 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6119 loss: 0.6119 2022/08/05 06:54:26 - mmengine - INFO - Epoch(train) [76][840/940] lr: 1.0000e-03 eta: 3:58:57 time: 0.6103 data_time: 0.0339 memory: 24011 grad_norm: 5.2070 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6160 loss: 0.6160 2022/08/05 06:54:39 - mmengine - INFO - Epoch(train) [76][860/940] lr: 1.0000e-03 eta: 3:58:44 time: 0.6211 data_time: 0.0399 memory: 24011 grad_norm: 5.2425 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5328 loss: 0.5328 2022/08/05 06:54:51 - mmengine - INFO - Epoch(train) [76][880/940] lr: 1.0000e-03 eta: 3:58:31 time: 0.6266 data_time: 0.0371 memory: 24011 grad_norm: 5.1616 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6133 loss: 0.6133 2022/08/05 06:55:04 - mmengine - INFO - Epoch(train) [76][900/940] lr: 1.0000e-03 eta: 3:58:19 time: 0.6452 data_time: 0.0397 memory: 24011 grad_norm: 5.3105 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6131 loss: 0.6131 2022/08/05 06:55:17 - mmengine - INFO - Epoch(train) [76][920/940] lr: 1.0000e-03 eta: 3:58:06 time: 0.6176 data_time: 0.0453 memory: 24011 grad_norm: 5.0860 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5839 loss: 0.5839 2022/08/05 06:55:27 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 06:55:27 - mmengine - INFO - Epoch(train) [76][940/940] lr: 1.0000e-03 eta: 3:57:53 time: 0.5363 data_time: 0.0250 memory: 24011 grad_norm: 5.3373 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 0.7283 loss: 0.7283 2022/08/05 06:55:41 - mmengine - INFO - Epoch(val) [76][20/78] eta: 0:00:38 time: 0.6653 data_time: 0.5110 memory: 3625 2022/08/05 06:55:49 - mmengine - INFO - Epoch(val) [76][40/78] eta: 0:00:16 time: 0.4343 data_time: 0.2807 memory: 3625 2022/08/05 06:56:02 - mmengine - INFO - Epoch(val) [76][60/78] eta: 0:00:11 time: 0.6203 data_time: 0.4651 memory: 3625 2022/08/05 06:56:12 - mmengine - INFO - Epoch(val) [76][78/78] acc/top1: 0.7403 acc/top5: 0.9070 acc/mean1: 0.7402 2022/08/05 06:56:30 - mmengine - INFO - Epoch(train) [77][20/940] lr: 1.0000e-03 eta: 3:57:42 time: 0.8745 data_time: 0.2761 memory: 24011 grad_norm: 5.2399 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5640 loss: 0.5640 2022/08/05 06:56:42 - mmengine - INFO - Epoch(train) [77][40/940] lr: 1.0000e-03 eta: 3:57:29 time: 0.6310 data_time: 0.0280 memory: 24011 grad_norm: 5.1762 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.5151 loss: 0.5151 2022/08/05 06:56:56 - mmengine - INFO - Epoch(train) [77][60/940] lr: 1.0000e-03 eta: 3:57:17 time: 0.6722 data_time: 0.0439 memory: 24011 grad_norm: 5.0019 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5102 loss: 0.5102 2022/08/05 06:57:08 - mmengine - INFO - Epoch(train) [77][80/940] lr: 1.0000e-03 eta: 3:57:04 time: 0.6063 data_time: 0.0337 memory: 24011 grad_norm: 5.5118 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5937 loss: 0.5937 2022/08/05 06:57:21 - mmengine - INFO - Epoch(train) [77][100/940] lr: 1.0000e-03 eta: 3:56:51 time: 0.6500 data_time: 0.0376 memory: 24011 grad_norm: 5.4111 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5977 loss: 0.5977 2022/08/05 06:57:33 - mmengine - INFO - Epoch(train) [77][120/940] lr: 1.0000e-03 eta: 3:56:39 time: 0.6148 data_time: 0.0365 memory: 24011 grad_norm: 5.5512 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5931 loss: 0.5931 2022/08/05 06:57:45 - mmengine - INFO - Epoch(train) [77][140/940] lr: 1.0000e-03 eta: 3:56:26 time: 0.6068 data_time: 0.0352 memory: 24011 grad_norm: 5.6055 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6502 loss: 0.6502 2022/08/05 06:57:57 - mmengine - INFO - Epoch(train) [77][160/940] lr: 1.0000e-03 eta: 3:56:13 time: 0.5985 data_time: 0.0366 memory: 24011 grad_norm: 5.6030 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5965 loss: 0.5965 2022/08/05 06:58:10 - mmengine - INFO - Epoch(train) [77][180/940] lr: 1.0000e-03 eta: 3:56:00 time: 0.6597 data_time: 0.0377 memory: 24011 grad_norm: 5.3162 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5868 loss: 0.5868 2022/08/05 06:58:24 - mmengine - INFO - Epoch(train) [77][200/940] lr: 1.0000e-03 eta: 3:55:48 time: 0.6697 data_time: 0.0321 memory: 24011 grad_norm: 6.0684 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6330 loss: 0.6330 2022/08/05 06:58:37 - mmengine - INFO - Epoch(train) [77][220/940] lr: 1.0000e-03 eta: 3:55:35 time: 0.6437 data_time: 0.0358 memory: 24011 grad_norm: 6.6907 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5828 loss: 0.5828 2022/08/05 06:58:48 - mmengine - INFO - Epoch(train) [77][240/940] lr: 1.0000e-03 eta: 3:55:22 time: 0.5792 data_time: 0.0349 memory: 24011 grad_norm: 5.1552 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5670 loss: 0.5670 2022/08/05 06:59:01 - mmengine - INFO - Epoch(train) [77][260/940] lr: 1.0000e-03 eta: 3:55:10 time: 0.6556 data_time: 0.0353 memory: 24011 grad_norm: 5.1835 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5037 loss: 0.5037 2022/08/05 06:59:14 - mmengine - INFO - Epoch(train) [77][280/940] lr: 1.0000e-03 eta: 3:54:57 time: 0.6062 data_time: 0.0349 memory: 24011 grad_norm: 5.3467 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5610 loss: 0.5610 2022/08/05 06:59:26 - mmengine - INFO - Epoch(train) [77][300/940] lr: 1.0000e-03 eta: 3:54:44 time: 0.6046 data_time: 0.0417 memory: 24011 grad_norm: 4.9374 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5674 loss: 0.5674 2022/08/05 06:59:37 - mmengine - INFO - Epoch(train) [77][320/940] lr: 1.0000e-03 eta: 3:54:31 time: 0.5819 data_time: 0.0382 memory: 24011 grad_norm: 5.1400 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.4815 loss: 0.4815 2022/08/05 06:59:50 - mmengine - INFO - Epoch(train) [77][340/940] lr: 1.0000e-03 eta: 3:54:19 time: 0.6373 data_time: 0.0354 memory: 24011 grad_norm: 5.1021 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5899 loss: 0.5899 2022/08/05 07:00:04 - mmengine - INFO - Epoch(train) [77][360/940] lr: 1.0000e-03 eta: 3:54:06 time: 0.6804 data_time: 0.0380 memory: 24011 grad_norm: 5.0027 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5420 loss: 0.5420 2022/08/05 07:00:16 - mmengine - INFO - Epoch(train) [77][380/940] lr: 1.0000e-03 eta: 3:53:54 time: 0.6214 data_time: 0.0325 memory: 24011 grad_norm: 5.4302 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5275 loss: 0.5275 2022/08/05 07:00:28 - mmengine - INFO - Epoch(train) [77][400/940] lr: 1.0000e-03 eta: 3:53:41 time: 0.6039 data_time: 0.0394 memory: 24011 grad_norm: 5.1946 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5393 loss: 0.5393 2022/08/05 07:00:41 - mmengine - INFO - Epoch(train) [77][420/940] lr: 1.0000e-03 eta: 3:53:28 time: 0.6285 data_time: 0.0357 memory: 24011 grad_norm: 5.4648 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5568 loss: 0.5568 2022/08/05 07:00:53 - mmengine - INFO - Epoch(train) [77][440/940] lr: 1.0000e-03 eta: 3:53:15 time: 0.5955 data_time: 0.0375 memory: 24011 grad_norm: 5.3285 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6394 loss: 0.6394 2022/08/05 07:01:06 - mmengine - INFO - Epoch(train) [77][460/940] lr: 1.0000e-03 eta: 3:53:03 time: 0.6496 data_time: 0.0395 memory: 24011 grad_norm: 5.4189 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6040 loss: 0.6040 2022/08/05 07:01:19 - mmengine - INFO - Epoch(train) [77][480/940] lr: 1.0000e-03 eta: 3:52:50 time: 0.6429 data_time: 0.0423 memory: 24011 grad_norm: 5.2960 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6020 loss: 0.6020 2022/08/05 07:01:30 - mmengine - INFO - Epoch(train) [77][500/940] lr: 1.0000e-03 eta: 3:52:37 time: 0.5880 data_time: 0.0377 memory: 24011 grad_norm: 5.4875 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6151 loss: 0.6151 2022/08/05 07:01:43 - mmengine - INFO - Epoch(train) [77][520/940] lr: 1.0000e-03 eta: 3:52:24 time: 0.6144 data_time: 0.0352 memory: 24011 grad_norm: 5.1394 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6145 loss: 0.6145 2022/08/05 07:01:55 - mmengine - INFO - Epoch(train) [77][540/940] lr: 1.0000e-03 eta: 3:52:11 time: 0.5984 data_time: 0.0577 memory: 24011 grad_norm: 5.2315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6192 loss: 0.6192 2022/08/05 07:02:07 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:02:07 - mmengine - INFO - Epoch(train) [77][560/940] lr: 1.0000e-03 eta: 3:51:59 time: 0.6003 data_time: 0.0330 memory: 24011 grad_norm: 5.9003 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5320 loss: 0.5320 2022/08/05 07:02:19 - mmengine - INFO - Epoch(train) [77][580/940] lr: 1.0000e-03 eta: 3:51:46 time: 0.6033 data_time: 0.0336 memory: 24011 grad_norm: 4.9840 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6235 loss: 0.6235 2022/08/05 07:02:32 - mmengine - INFO - Epoch(train) [77][600/940] lr: 1.0000e-03 eta: 3:51:33 time: 0.6507 data_time: 0.0751 memory: 24011 grad_norm: 5.2353 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5307 loss: 0.5307 2022/08/05 07:02:44 - mmengine - INFO - Epoch(train) [77][620/940] lr: 1.0000e-03 eta: 3:51:20 time: 0.5937 data_time: 0.0309 memory: 24011 grad_norm: 5.1774 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5329 loss: 0.5329 2022/08/05 07:02:57 - mmengine - INFO - Epoch(train) [77][640/940] lr: 1.0000e-03 eta: 3:51:08 time: 0.6544 data_time: 0.0337 memory: 24011 grad_norm: 5.3667 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.4672 loss: 0.4672 2022/08/05 07:03:09 - mmengine - INFO - Epoch(train) [77][660/940] lr: 1.0000e-03 eta: 3:50:55 time: 0.6017 data_time: 0.0345 memory: 24011 grad_norm: 6.6350 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6177 loss: 0.6177 2022/08/05 07:03:21 - mmengine - INFO - Epoch(train) [77][680/940] lr: 1.0000e-03 eta: 3:50:42 time: 0.6286 data_time: 0.0692 memory: 24011 grad_norm: 5.2193 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6860 loss: 0.6860 2022/08/05 07:03:34 - mmengine - INFO - Epoch(train) [77][700/940] lr: 1.0000e-03 eta: 3:50:30 time: 0.6431 data_time: 0.0940 memory: 24011 grad_norm: 5.1330 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5958 loss: 0.5958 2022/08/05 07:03:46 - mmengine - INFO - Epoch(train) [77][720/940] lr: 1.0000e-03 eta: 3:50:17 time: 0.5975 data_time: 0.0325 memory: 24011 grad_norm: 5.5891 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6179 loss: 0.6179 2022/08/05 07:03:58 - mmengine - INFO - Epoch(train) [77][740/940] lr: 1.0000e-03 eta: 3:50:04 time: 0.5978 data_time: 0.0343 memory: 24011 grad_norm: 5.0129 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5958 loss: 0.5958 2022/08/05 07:04:11 - mmengine - INFO - Epoch(train) [77][760/940] lr: 1.0000e-03 eta: 3:49:51 time: 0.6458 data_time: 0.0358 memory: 24011 grad_norm: 5.2043 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5463 loss: 0.5463 2022/08/05 07:04:24 - mmengine - INFO - Epoch(train) [77][780/940] lr: 1.0000e-03 eta: 3:49:39 time: 0.6337 data_time: 0.0401 memory: 24011 grad_norm: 5.2606 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5652 loss: 0.5652 2022/08/05 07:04:37 - mmengine - INFO - Epoch(train) [77][800/940] lr: 1.0000e-03 eta: 3:49:26 time: 0.6461 data_time: 0.0338 memory: 24011 grad_norm: 5.0665 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6197 loss: 0.6197 2022/08/05 07:04:49 - mmengine - INFO - Epoch(train) [77][820/940] lr: 1.0000e-03 eta: 3:49:14 time: 0.6327 data_time: 0.0328 memory: 24011 grad_norm: 5.5006 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5672 loss: 0.5672 2022/08/05 07:05:01 - mmengine - INFO - Epoch(train) [77][840/940] lr: 1.0000e-03 eta: 3:49:01 time: 0.5970 data_time: 0.0316 memory: 24011 grad_norm: 5.2786 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6284 loss: 0.6284 2022/08/05 07:05:14 - mmengine - INFO - Epoch(train) [77][860/940] lr: 1.0000e-03 eta: 3:48:48 time: 0.6287 data_time: 0.0675 memory: 24011 grad_norm: 5.1243 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5977 loss: 0.5977 2022/08/05 07:05:26 - mmengine - INFO - Epoch(train) [77][880/940] lr: 1.0000e-03 eta: 3:48:35 time: 0.6002 data_time: 0.0440 memory: 24011 grad_norm: 10.8615 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5345 loss: 0.5345 2022/08/05 07:05:38 - mmengine - INFO - Epoch(train) [77][900/940] lr: 1.0000e-03 eta: 3:48:22 time: 0.6140 data_time: 0.0403 memory: 24011 grad_norm: 5.6166 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6841 loss: 0.6841 2022/08/05 07:05:50 - mmengine - INFO - Epoch(train) [77][920/940] lr: 1.0000e-03 eta: 3:48:10 time: 0.6124 data_time: 0.0437 memory: 24011 grad_norm: 5.6940 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6257 loss: 0.6257 2022/08/05 07:06:02 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:06:02 - mmengine - INFO - Epoch(train) [77][940/940] lr: 1.0000e-03 eta: 3:47:57 time: 0.5708 data_time: 0.0280 memory: 24011 grad_norm: 5.6097 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6451 loss: 0.6451 2022/08/05 07:06:15 - mmengine - INFO - Epoch(val) [77][20/78] eta: 0:00:38 time: 0.6558 data_time: 0.5018 memory: 3625 2022/08/05 07:06:24 - mmengine - INFO - Epoch(val) [77][40/78] eta: 0:00:17 time: 0.4544 data_time: 0.3025 memory: 3625 2022/08/05 07:06:36 - mmengine - INFO - Epoch(val) [77][60/78] eta: 0:00:11 time: 0.6140 data_time: 0.4591 memory: 3625 2022/08/05 07:06:47 - mmengine - INFO - Epoch(val) [77][78/78] acc/top1: 0.7381 acc/top5: 0.9071 acc/mean1: 0.7380 2022/08/05 07:07:05 - mmengine - INFO - Epoch(train) [78][20/940] lr: 1.0000e-03 eta: 3:47:45 time: 0.9004 data_time: 0.2604 memory: 24011 grad_norm: 5.8814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5705 loss: 0.5705 2022/08/05 07:07:18 - mmengine - INFO - Epoch(train) [78][40/940] lr: 1.0000e-03 eta: 3:47:33 time: 0.6402 data_time: 0.0304 memory: 24011 grad_norm: 5.0668 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5919 loss: 0.5919 2022/08/05 07:07:30 - mmengine - INFO - Epoch(train) [78][60/940] lr: 1.0000e-03 eta: 3:47:20 time: 0.6186 data_time: 0.0322 memory: 24011 grad_norm: 5.1933 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5272 loss: 0.5272 2022/08/05 07:07:42 - mmengine - INFO - Epoch(train) [78][80/940] lr: 1.0000e-03 eta: 3:47:07 time: 0.6070 data_time: 0.0323 memory: 24011 grad_norm: 5.2290 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.7420 loss: 0.7420 2022/08/05 07:07:55 - mmengine - INFO - Epoch(train) [78][100/940] lr: 1.0000e-03 eta: 3:46:55 time: 0.6495 data_time: 0.0350 memory: 24011 grad_norm: 5.1805 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5733 loss: 0.5733 2022/08/05 07:08:07 - mmengine - INFO - Epoch(train) [78][120/940] lr: 1.0000e-03 eta: 3:46:42 time: 0.5785 data_time: 0.0366 memory: 24011 grad_norm: 5.2174 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5037 loss: 0.5037 2022/08/05 07:08:20 - mmengine - INFO - Epoch(train) [78][140/940] lr: 1.0000e-03 eta: 3:46:29 time: 0.6377 data_time: 0.0384 memory: 24011 grad_norm: 5.1738 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5456 loss: 0.5456 2022/08/05 07:08:32 - mmengine - INFO - Epoch(train) [78][160/940] lr: 1.0000e-03 eta: 3:46:16 time: 0.6234 data_time: 0.0342 memory: 24011 grad_norm: 5.2053 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5536 loss: 0.5536 2022/08/05 07:08:45 - mmengine - INFO - Epoch(train) [78][180/940] lr: 1.0000e-03 eta: 3:46:04 time: 0.6428 data_time: 0.0477 memory: 24011 grad_norm: 5.0750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5922 loss: 0.5922 2022/08/05 07:08:57 - mmengine - INFO - Epoch(train) [78][200/940] lr: 1.0000e-03 eta: 3:45:51 time: 0.6192 data_time: 0.0292 memory: 24011 grad_norm: 5.3924 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6164 loss: 0.6164 2022/08/05 07:09:10 - mmengine - INFO - Epoch(train) [78][220/940] lr: 1.0000e-03 eta: 3:45:39 time: 0.6405 data_time: 0.0358 memory: 24011 grad_norm: 5.4910 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6294 loss: 0.6294 2022/08/05 07:09:22 - mmengine - INFO - Epoch(train) [78][240/940] lr: 1.0000e-03 eta: 3:45:26 time: 0.6066 data_time: 0.0316 memory: 24011 grad_norm: 5.4954 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6002 loss: 0.6002 2022/08/05 07:09:35 - mmengine - INFO - Epoch(train) [78][260/940] lr: 1.0000e-03 eta: 3:45:13 time: 0.6378 data_time: 0.0339 memory: 24011 grad_norm: 5.4846 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5475 loss: 0.5475 2022/08/05 07:09:48 - mmengine - INFO - Epoch(train) [78][280/940] lr: 1.0000e-03 eta: 3:45:00 time: 0.6336 data_time: 0.0282 memory: 24011 grad_norm: 5.6549 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5090 loss: 0.5090 2022/08/05 07:10:00 - mmengine - INFO - Epoch(train) [78][300/940] lr: 1.0000e-03 eta: 3:44:48 time: 0.5991 data_time: 0.0392 memory: 24011 grad_norm: 5.3512 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6294 loss: 0.6294 2022/08/05 07:10:12 - mmengine - INFO - Epoch(train) [78][320/940] lr: 1.0000e-03 eta: 3:44:35 time: 0.6204 data_time: 0.0330 memory: 24011 grad_norm: 5.0990 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5911 loss: 0.5911 2022/08/05 07:10:26 - mmengine - INFO - Epoch(train) [78][340/940] lr: 1.0000e-03 eta: 3:44:23 time: 0.6862 data_time: 0.0336 memory: 24011 grad_norm: 5.0797 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5331 loss: 0.5331 2022/08/05 07:10:38 - mmengine - INFO - Epoch(train) [78][360/940] lr: 1.0000e-03 eta: 3:44:10 time: 0.5963 data_time: 0.0421 memory: 24011 grad_norm: 5.2595 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5605 loss: 0.5605 2022/08/05 07:10:51 - mmengine - INFO - Epoch(train) [78][380/940] lr: 1.0000e-03 eta: 3:43:57 time: 0.6321 data_time: 0.0359 memory: 24011 grad_norm: 5.2342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5545 loss: 0.5545 2022/08/05 07:11:03 - mmengine - INFO - Epoch(train) [78][400/940] lr: 1.0000e-03 eta: 3:43:44 time: 0.6073 data_time: 0.0468 memory: 24011 grad_norm: 5.0241 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5346 loss: 0.5346 2022/08/05 07:11:15 - mmengine - INFO - Epoch(train) [78][420/940] lr: 1.0000e-03 eta: 3:43:32 time: 0.6303 data_time: 0.0404 memory: 24011 grad_norm: 5.5476 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6030 loss: 0.6030 2022/08/05 07:11:27 - mmengine - INFO - Epoch(train) [78][440/940] lr: 1.0000e-03 eta: 3:43:19 time: 0.5936 data_time: 0.0371 memory: 24011 grad_norm: 5.2338 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5904 loss: 0.5904 2022/08/05 07:11:39 - mmengine - INFO - Epoch(train) [78][460/940] lr: 1.0000e-03 eta: 3:43:06 time: 0.6155 data_time: 0.0380 memory: 24011 grad_norm: 5.4382 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.6571 loss: 0.6571 2022/08/05 07:11:52 - mmengine - INFO - Epoch(train) [78][480/940] lr: 1.0000e-03 eta: 3:42:53 time: 0.6193 data_time: 0.0350 memory: 24011 grad_norm: 5.1838 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5753 loss: 0.5753 2022/08/05 07:12:04 - mmengine - INFO - Epoch(train) [78][500/940] lr: 1.0000e-03 eta: 3:42:40 time: 0.6104 data_time: 0.0350 memory: 24011 grad_norm: 5.4459 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6567 loss: 0.6567 2022/08/05 07:12:17 - mmengine - INFO - Epoch(train) [78][520/940] lr: 1.0000e-03 eta: 3:42:28 time: 0.6378 data_time: 0.0355 memory: 24011 grad_norm: 5.2042 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6386 loss: 0.6386 2022/08/05 07:12:29 - mmengine - INFO - Epoch(train) [78][540/940] lr: 1.0000e-03 eta: 3:42:15 time: 0.6197 data_time: 0.0320 memory: 24011 grad_norm: 5.4232 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5399 loss: 0.5399 2022/08/05 07:12:41 - mmengine - INFO - Epoch(train) [78][560/940] lr: 1.0000e-03 eta: 3:42:02 time: 0.6101 data_time: 0.0397 memory: 24011 grad_norm: 5.5398 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4969 loss: 0.4969 2022/08/05 07:12:54 - mmengine - INFO - Epoch(train) [78][580/940] lr: 1.0000e-03 eta: 3:41:49 time: 0.6065 data_time: 0.0534 memory: 24011 grad_norm: 5.2184 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6137 loss: 0.6137 2022/08/05 07:13:06 - mmengine - INFO - Epoch(train) [78][600/940] lr: 1.0000e-03 eta: 3:41:37 time: 0.6427 data_time: 0.0332 memory: 24011 grad_norm: 6.1804 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5169 loss: 0.5169 2022/08/05 07:13:18 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:13:18 - mmengine - INFO - Epoch(train) [78][620/940] lr: 1.0000e-03 eta: 3:41:24 time: 0.6044 data_time: 0.0349 memory: 24011 grad_norm: 5.4607 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6371 loss: 0.6371 2022/08/05 07:13:31 - mmengine - INFO - Epoch(train) [78][640/940] lr: 1.0000e-03 eta: 3:41:11 time: 0.5975 data_time: 0.0363 memory: 24011 grad_norm: 5.3655 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5780 loss: 0.5780 2022/08/05 07:13:44 - mmengine - INFO - Epoch(train) [78][660/940] lr: 1.0000e-03 eta: 3:40:59 time: 0.6534 data_time: 0.0443 memory: 24011 grad_norm: 5.0736 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5635 loss: 0.5635 2022/08/05 07:13:56 - mmengine - INFO - Epoch(train) [78][680/940] lr: 1.0000e-03 eta: 3:40:46 time: 0.6353 data_time: 0.0336 memory: 24011 grad_norm: 5.1508 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5059 loss: 0.5059 2022/08/05 07:14:09 - mmengine - INFO - Epoch(train) [78][700/940] lr: 1.0000e-03 eta: 3:40:33 time: 0.6197 data_time: 0.0374 memory: 24011 grad_norm: 5.0440 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5527 loss: 0.5527 2022/08/05 07:14:21 - mmengine - INFO - Epoch(train) [78][720/940] lr: 1.0000e-03 eta: 3:40:21 time: 0.6013 data_time: 0.0375 memory: 24011 grad_norm: 5.4636 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5519 loss: 0.5519 2022/08/05 07:14:33 - mmengine - INFO - Epoch(train) [78][740/940] lr: 1.0000e-03 eta: 3:40:08 time: 0.6329 data_time: 0.0400 memory: 24011 grad_norm: 5.0323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5088 loss: 0.5088 2022/08/05 07:14:45 - mmengine - INFO - Epoch(train) [78][760/940] lr: 1.0000e-03 eta: 3:39:55 time: 0.5918 data_time: 0.0339 memory: 24011 grad_norm: 6.1164 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5714 loss: 0.5714 2022/08/05 07:14:57 - mmengine - INFO - Epoch(train) [78][780/940] lr: 1.0000e-03 eta: 3:39:42 time: 0.6072 data_time: 0.0381 memory: 24011 grad_norm: 5.2833 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6433 loss: 0.6433 2022/08/05 07:15:10 - mmengine - INFO - Epoch(train) [78][800/940] lr: 1.0000e-03 eta: 3:39:30 time: 0.6457 data_time: 0.0388 memory: 24011 grad_norm: 5.1554 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5836 loss: 0.5836 2022/08/05 07:15:23 - mmengine - INFO - Epoch(train) [78][820/940] lr: 1.0000e-03 eta: 3:39:17 time: 0.6154 data_time: 0.0329 memory: 24011 grad_norm: 5.2787 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5180 loss: 0.5180 2022/08/05 07:15:35 - mmengine - INFO - Epoch(train) [78][840/940] lr: 1.0000e-03 eta: 3:39:04 time: 0.6351 data_time: 0.0403 memory: 24011 grad_norm: 5.3195 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6533 loss: 0.6533 2022/08/05 07:15:48 - mmengine - INFO - Epoch(train) [78][860/940] lr: 1.0000e-03 eta: 3:38:52 time: 0.6514 data_time: 0.0297 memory: 24011 grad_norm: 5.6134 top1_acc: 0.6562 top5_acc: 0.9375 loss_cls: 0.6276 loss: 0.6276 2022/08/05 07:16:01 - mmengine - INFO - Epoch(train) [78][880/940] lr: 1.0000e-03 eta: 3:38:39 time: 0.6199 data_time: 0.0405 memory: 24011 grad_norm: 5.4413 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5821 loss: 0.5821 2022/08/05 07:16:13 - mmengine - INFO - Epoch(train) [78][900/940] lr: 1.0000e-03 eta: 3:38:26 time: 0.6284 data_time: 0.0322 memory: 24011 grad_norm: 5.2601 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5932 loss: 0.5932 2022/08/05 07:16:25 - mmengine - INFO - Epoch(train) [78][920/940] lr: 1.0000e-03 eta: 3:38:13 time: 0.6084 data_time: 0.0400 memory: 24011 grad_norm: 5.6627 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6122 loss: 0.6122 2022/08/05 07:16:36 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:16:36 - mmengine - INFO - Epoch(train) [78][940/940] lr: 1.0000e-03 eta: 3:38:00 time: 0.5501 data_time: 0.0277 memory: 24011 grad_norm: 5.5307 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.5788 loss: 0.5788 2022/08/05 07:16:37 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/08/05 07:16:55 - mmengine - INFO - Epoch(val) [78][20/78] eta: 0:00:40 time: 0.6940 data_time: 0.5394 memory: 3625 2022/08/05 07:17:04 - mmengine - INFO - Epoch(val) [78][40/78] eta: 0:00:15 time: 0.4209 data_time: 0.2712 memory: 3625 2022/08/05 07:17:16 - mmengine - INFO - Epoch(val) [78][60/78] eta: 0:00:10 time: 0.5972 data_time: 0.4430 memory: 3625 2022/08/05 07:17:25 - mmengine - INFO - Epoch(val) [78][78/78] acc/top1: 0.7386 acc/top5: 0.9048 acc/mean1: 0.7385 2022/08/05 07:17:42 - mmengine - INFO - Epoch(train) [79][20/940] lr: 1.0000e-03 eta: 3:37:49 time: 0.8518 data_time: 0.2311 memory: 24011 grad_norm: 5.4913 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6186 loss: 0.6186 2022/08/05 07:17:55 - mmengine - INFO - Epoch(train) [79][40/940] lr: 1.0000e-03 eta: 3:37:36 time: 0.6235 data_time: 0.0283 memory: 24011 grad_norm: 5.0565 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5972 loss: 0.5972 2022/08/05 07:18:08 - mmengine - INFO - Epoch(train) [79][60/940] lr: 1.0000e-03 eta: 3:37:24 time: 0.6376 data_time: 0.0406 memory: 24011 grad_norm: 5.6883 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.6034 loss: 0.6034 2022/08/05 07:18:20 - mmengine - INFO - Epoch(train) [79][80/940] lr: 1.0000e-03 eta: 3:37:11 time: 0.6034 data_time: 0.0258 memory: 24011 grad_norm: 5.3375 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5760 loss: 0.5760 2022/08/05 07:18:34 - mmengine - INFO - Epoch(train) [79][100/940] lr: 1.0000e-03 eta: 3:36:59 time: 0.7365 data_time: 0.0423 memory: 24011 grad_norm: 5.4553 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4929 loss: 0.4929 2022/08/05 07:18:47 - mmengine - INFO - Epoch(train) [79][120/940] lr: 1.0000e-03 eta: 3:36:46 time: 0.6153 data_time: 0.0381 memory: 24011 grad_norm: 5.1814 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4499 loss: 0.4499 2022/08/05 07:19:01 - mmengine - INFO - Epoch(train) [79][140/940] lr: 1.0000e-03 eta: 3:36:34 time: 0.6907 data_time: 0.0355 memory: 24011 grad_norm: 6.7114 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5142 loss: 0.5142 2022/08/05 07:19:13 - mmengine - INFO - Epoch(train) [79][160/940] lr: 1.0000e-03 eta: 3:36:21 time: 0.6164 data_time: 0.0331 memory: 24011 grad_norm: 5.2302 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5990 loss: 0.5990 2022/08/05 07:19:25 - mmengine - INFO - Epoch(train) [79][180/940] lr: 1.0000e-03 eta: 3:36:08 time: 0.6239 data_time: 0.0342 memory: 24011 grad_norm: 5.8333 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6838 loss: 0.6838 2022/08/05 07:19:37 - mmengine - INFO - Epoch(train) [79][200/940] lr: 1.0000e-03 eta: 3:35:55 time: 0.6065 data_time: 0.0366 memory: 24011 grad_norm: 5.1073 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6091 loss: 0.6091 2022/08/05 07:19:51 - mmengine - INFO - Epoch(train) [79][220/940] lr: 1.0000e-03 eta: 3:35:43 time: 0.6563 data_time: 0.0432 memory: 24011 grad_norm: 5.4700 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6195 loss: 0.6195 2022/08/05 07:20:03 - mmengine - INFO - Epoch(train) [79][240/940] lr: 1.0000e-03 eta: 3:35:30 time: 0.6021 data_time: 0.0363 memory: 24011 grad_norm: 5.1572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5815 loss: 0.5815 2022/08/05 07:20:16 - mmengine - INFO - Epoch(train) [79][260/940] lr: 1.0000e-03 eta: 3:35:17 time: 0.6415 data_time: 0.0415 memory: 24011 grad_norm: 5.2650 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6105 loss: 0.6105 2022/08/05 07:20:28 - mmengine - INFO - Epoch(train) [79][280/940] lr: 1.0000e-03 eta: 3:35:05 time: 0.6234 data_time: 0.0397 memory: 24011 grad_norm: 5.0879 top1_acc: 0.6250 top5_acc: 0.9062 loss_cls: 0.5945 loss: 0.5945 2022/08/05 07:20:41 - mmengine - INFO - Epoch(train) [79][300/940] lr: 1.0000e-03 eta: 3:34:52 time: 0.6511 data_time: 0.0337 memory: 24011 grad_norm: 5.3507 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6189 loss: 0.6189 2022/08/05 07:20:53 - mmengine - INFO - Epoch(train) [79][320/940] lr: 1.0000e-03 eta: 3:34:39 time: 0.5924 data_time: 0.0353 memory: 24011 grad_norm: 5.4042 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5529 loss: 0.5529 2022/08/05 07:21:05 - mmengine - INFO - Epoch(train) [79][340/940] lr: 1.0000e-03 eta: 3:34:27 time: 0.6248 data_time: 0.0345 memory: 24011 grad_norm: 5.8436 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6340 loss: 0.6340 2022/08/05 07:21:17 - mmengine - INFO - Epoch(train) [79][360/940] lr: 1.0000e-03 eta: 3:34:14 time: 0.5984 data_time: 0.0396 memory: 24011 grad_norm: 5.1482 top1_acc: 0.7812 top5_acc: 0.8125 loss_cls: 0.6395 loss: 0.6395 2022/08/05 07:21:30 - mmengine - INFO - Epoch(train) [79][380/940] lr: 1.0000e-03 eta: 3:34:01 time: 0.6295 data_time: 0.0326 memory: 24011 grad_norm: 5.2487 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6954 loss: 0.6954 2022/08/05 07:21:42 - mmengine - INFO - Epoch(train) [79][400/940] lr: 1.0000e-03 eta: 3:33:48 time: 0.5911 data_time: 0.0409 memory: 24011 grad_norm: 5.0790 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5510 loss: 0.5510 2022/08/05 07:21:55 - mmengine - INFO - Epoch(train) [79][420/940] lr: 1.0000e-03 eta: 3:33:36 time: 0.6557 data_time: 0.0358 memory: 24011 grad_norm: 4.9728 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6015 loss: 0.6015 2022/08/05 07:22:07 - mmengine - INFO - Epoch(train) [79][440/940] lr: 1.0000e-03 eta: 3:33:23 time: 0.6062 data_time: 0.0304 memory: 24011 grad_norm: 5.3082 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5181 loss: 0.5181 2022/08/05 07:22:20 - mmengine - INFO - Epoch(train) [79][460/940] lr: 1.0000e-03 eta: 3:33:10 time: 0.6601 data_time: 0.0419 memory: 24011 grad_norm: 5.5610 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5747 loss: 0.5747 2022/08/05 07:22:32 - mmengine - INFO - Epoch(train) [79][480/940] lr: 1.0000e-03 eta: 3:32:58 time: 0.5948 data_time: 0.0378 memory: 24011 grad_norm: 5.5925 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5796 loss: 0.5796 2022/08/05 07:22:45 - mmengine - INFO - Epoch(train) [79][500/940] lr: 1.0000e-03 eta: 3:32:45 time: 0.6179 data_time: 0.0359 memory: 24011 grad_norm: 5.6542 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5322 loss: 0.5322 2022/08/05 07:22:58 - mmengine - INFO - Epoch(train) [79][520/940] lr: 1.0000e-03 eta: 3:32:32 time: 0.6505 data_time: 0.0372 memory: 24011 grad_norm: 5.5600 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5494 loss: 0.5494 2022/08/05 07:23:10 - mmengine - INFO - Epoch(train) [79][540/940] lr: 1.0000e-03 eta: 3:32:19 time: 0.6011 data_time: 0.0373 memory: 24011 grad_norm: 5.7034 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5711 loss: 0.5711 2022/08/05 07:23:22 - mmengine - INFO - Epoch(train) [79][560/940] lr: 1.0000e-03 eta: 3:32:07 time: 0.6295 data_time: 0.0333 memory: 24011 grad_norm: 5.0990 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.5988 loss: 0.5988 2022/08/05 07:23:35 - mmengine - INFO - Epoch(train) [79][580/940] lr: 1.0000e-03 eta: 3:31:54 time: 0.6401 data_time: 0.0414 memory: 24011 grad_norm: 5.1679 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6016 loss: 0.6016 2022/08/05 07:23:47 - mmengine - INFO - Epoch(train) [79][600/940] lr: 1.0000e-03 eta: 3:31:41 time: 0.6080 data_time: 0.0408 memory: 24011 grad_norm: 5.6476 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5796 loss: 0.5796 2022/08/05 07:23:59 - mmengine - INFO - Epoch(train) [79][620/940] lr: 1.0000e-03 eta: 3:31:29 time: 0.6129 data_time: 0.0367 memory: 24011 grad_norm: 5.7792 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6123 loss: 0.6123 2022/08/05 07:24:12 - mmengine - INFO - Epoch(train) [79][640/940] lr: 1.0000e-03 eta: 3:31:16 time: 0.6232 data_time: 0.0312 memory: 24011 grad_norm: 5.2747 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6096 loss: 0.6096 2022/08/05 07:24:24 - mmengine - INFO - Epoch(train) [79][660/940] lr: 1.0000e-03 eta: 3:31:03 time: 0.6270 data_time: 0.0438 memory: 24011 grad_norm: 5.3034 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5691 loss: 0.5691 2022/08/05 07:24:37 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:24:37 - mmengine - INFO - Epoch(train) [79][680/940] lr: 1.0000e-03 eta: 3:30:51 time: 0.6349 data_time: 0.0379 memory: 24011 grad_norm: 5.2220 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5971 loss: 0.5971 2022/08/05 07:24:50 - mmengine - INFO - Epoch(train) [79][700/940] lr: 1.0000e-03 eta: 3:30:38 time: 0.6462 data_time: 0.0492 memory: 24011 grad_norm: 5.5398 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5772 loss: 0.5772 2022/08/05 07:25:02 - mmengine - INFO - Epoch(train) [79][720/940] lr: 1.0000e-03 eta: 3:30:25 time: 0.6007 data_time: 0.0420 memory: 24011 grad_norm: 5.4184 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5994 loss: 0.5994 2022/08/05 07:25:15 - mmengine - INFO - Epoch(train) [79][740/940] lr: 1.0000e-03 eta: 3:30:13 time: 0.6339 data_time: 0.0365 memory: 24011 grad_norm: 5.5545 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5797 loss: 0.5797 2022/08/05 07:25:27 - mmengine - INFO - Epoch(train) [79][760/940] lr: 1.0000e-03 eta: 3:30:00 time: 0.5965 data_time: 0.0369 memory: 24011 grad_norm: 5.5120 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5527 loss: 0.5527 2022/08/05 07:25:39 - mmengine - INFO - Epoch(train) [79][780/940] lr: 1.0000e-03 eta: 3:29:47 time: 0.6226 data_time: 0.0399 memory: 24011 grad_norm: 5.3453 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.4691 loss: 0.4691 2022/08/05 07:25:51 - mmengine - INFO - Epoch(train) [79][800/940] lr: 1.0000e-03 eta: 3:29:34 time: 0.6037 data_time: 0.0455 memory: 24011 grad_norm: 5.1518 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5849 loss: 0.5849 2022/08/05 07:26:04 - mmengine - INFO - Epoch(train) [79][820/940] lr: 1.0000e-03 eta: 3:29:22 time: 0.6280 data_time: 0.0331 memory: 24011 grad_norm: 5.1278 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5856 loss: 0.5856 2022/08/05 07:26:16 - mmengine - INFO - Epoch(train) [79][840/940] lr: 1.0000e-03 eta: 3:29:09 time: 0.6177 data_time: 0.0331 memory: 24011 grad_norm: 5.1099 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6121 loss: 0.6121 2022/08/05 07:26:29 - mmengine - INFO - Epoch(train) [79][860/940] lr: 1.0000e-03 eta: 3:28:56 time: 0.6321 data_time: 0.0334 memory: 24011 grad_norm: 5.3103 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5333 loss: 0.5333 2022/08/05 07:26:41 - mmengine - INFO - Epoch(train) [79][880/940] lr: 1.0000e-03 eta: 3:28:43 time: 0.6251 data_time: 0.0353 memory: 24011 grad_norm: 5.3851 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5160 loss: 0.5160 2022/08/05 07:26:54 - mmengine - INFO - Epoch(train) [79][900/940] lr: 1.0000e-03 eta: 3:28:31 time: 0.6300 data_time: 0.0397 memory: 24011 grad_norm: 5.0478 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5230 loss: 0.5230 2022/08/05 07:27:06 - mmengine - INFO - Epoch(train) [79][920/940] lr: 1.0000e-03 eta: 3:28:18 time: 0.6085 data_time: 0.0296 memory: 24011 grad_norm: 6.5176 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5740 loss: 0.5740 2022/08/05 07:27:17 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:27:17 - mmengine - INFO - Epoch(train) [79][940/940] lr: 1.0000e-03 eta: 3:28:05 time: 0.5351 data_time: 0.0279 memory: 24011 grad_norm: 5.4744 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.5537 loss: 0.5537 2022/08/05 07:27:30 - mmengine - INFO - Epoch(val) [79][20/78] eta: 0:00:38 time: 0.6565 data_time: 0.5004 memory: 3625 2022/08/05 07:27:39 - mmengine - INFO - Epoch(val) [79][40/78] eta: 0:00:17 time: 0.4554 data_time: 0.3001 memory: 3625 2022/08/05 07:27:51 - mmengine - INFO - Epoch(val) [79][60/78] eta: 0:00:11 time: 0.6156 data_time: 0.4580 memory: 3625 2022/08/05 07:28:02 - mmengine - INFO - Epoch(val) [79][78/78] acc/top1: 0.7377 acc/top5: 0.9052 acc/mean1: 0.7375 2022/08/05 07:28:19 - mmengine - INFO - Epoch(train) [80][20/940] lr: 1.0000e-03 eta: 3:27:53 time: 0.8657 data_time: 0.2529 memory: 24011 grad_norm: 5.5979 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6307 loss: 0.6307 2022/08/05 07:28:32 - mmengine - INFO - Epoch(train) [80][40/940] lr: 1.0000e-03 eta: 3:27:41 time: 0.6060 data_time: 0.0367 memory: 24011 grad_norm: 5.3191 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5269 loss: 0.5269 2022/08/05 07:28:45 - mmengine - INFO - Epoch(train) [80][60/940] lr: 1.0000e-03 eta: 3:27:28 time: 0.6600 data_time: 0.0401 memory: 24011 grad_norm: 5.3782 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6535 loss: 0.6535 2022/08/05 07:28:57 - mmengine - INFO - Epoch(train) [80][80/940] lr: 1.0000e-03 eta: 3:27:15 time: 0.6105 data_time: 0.0329 memory: 24011 grad_norm: 5.2208 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4807 loss: 0.4807 2022/08/05 07:29:10 - mmengine - INFO - Epoch(train) [80][100/940] lr: 1.0000e-03 eta: 3:27:03 time: 0.6410 data_time: 0.0336 memory: 24011 grad_norm: 5.0855 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5619 loss: 0.5619 2022/08/05 07:29:22 - mmengine - INFO - Epoch(train) [80][120/940] lr: 1.0000e-03 eta: 3:26:50 time: 0.5971 data_time: 0.0484 memory: 24011 grad_norm: 5.4567 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6299 loss: 0.6299 2022/08/05 07:29:34 - mmengine - INFO - Epoch(train) [80][140/940] lr: 1.0000e-03 eta: 3:26:37 time: 0.6202 data_time: 0.0410 memory: 24011 grad_norm: 5.4131 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5204 loss: 0.5204 2022/08/05 07:29:47 - mmengine - INFO - Epoch(train) [80][160/940] lr: 1.0000e-03 eta: 3:26:25 time: 0.6491 data_time: 0.0433 memory: 24011 grad_norm: 5.6722 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5470 loss: 0.5470 2022/08/05 07:30:00 - mmengine - INFO - Epoch(train) [80][180/940] lr: 1.0000e-03 eta: 3:26:12 time: 0.6240 data_time: 0.0437 memory: 24011 grad_norm: 5.3663 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6159 loss: 0.6159 2022/08/05 07:30:12 - mmengine - INFO - Epoch(train) [80][200/940] lr: 1.0000e-03 eta: 3:25:59 time: 0.6384 data_time: 0.0416 memory: 24011 grad_norm: 5.1807 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5735 loss: 0.5735 2022/08/05 07:30:25 - mmengine - INFO - Epoch(train) [80][220/940] lr: 1.0000e-03 eta: 3:25:47 time: 0.6147 data_time: 0.0387 memory: 24011 grad_norm: 5.9026 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6385 loss: 0.6385 2022/08/05 07:30:37 - mmengine - INFO - Epoch(train) [80][240/940] lr: 1.0000e-03 eta: 3:25:34 time: 0.6086 data_time: 0.0432 memory: 24011 grad_norm: 5.4920 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6081 loss: 0.6081 2022/08/05 07:30:49 - mmengine - INFO - Epoch(train) [80][260/940] lr: 1.0000e-03 eta: 3:25:21 time: 0.6314 data_time: 0.0384 memory: 24011 grad_norm: 5.4434 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4978 loss: 0.4978 2022/08/05 07:31:02 - mmengine - INFO - Epoch(train) [80][280/940] lr: 1.0000e-03 eta: 3:25:09 time: 0.6283 data_time: 0.0375 memory: 24011 grad_norm: 5.2868 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5492 loss: 0.5492 2022/08/05 07:31:15 - mmengine - INFO - Epoch(train) [80][300/940] lr: 1.0000e-03 eta: 3:24:56 time: 0.6526 data_time: 0.0347 memory: 24011 grad_norm: 7.0134 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5832 loss: 0.5832 2022/08/05 07:31:28 - mmengine - INFO - Epoch(train) [80][320/940] lr: 1.0000e-03 eta: 3:24:43 time: 0.6282 data_time: 0.0336 memory: 24011 grad_norm: 5.2242 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5404 loss: 0.5404 2022/08/05 07:31:40 - mmengine - INFO - Epoch(train) [80][340/940] lr: 1.0000e-03 eta: 3:24:30 time: 0.6062 data_time: 0.0363 memory: 24011 grad_norm: 5.2232 top1_acc: 0.8125 top5_acc: 0.8438 loss_cls: 0.4745 loss: 0.4745 2022/08/05 07:31:52 - mmengine - INFO - Epoch(train) [80][360/940] lr: 1.0000e-03 eta: 3:24:18 time: 0.5920 data_time: 0.0367 memory: 24011 grad_norm: 5.1842 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.5687 loss: 0.5687 2022/08/05 07:32:05 - mmengine - INFO - Epoch(train) [80][380/940] lr: 1.0000e-03 eta: 3:24:05 time: 0.6475 data_time: 0.0435 memory: 24011 grad_norm: 5.3630 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5398 loss: 0.5398 2022/08/05 07:32:16 - mmengine - INFO - Epoch(train) [80][400/940] lr: 1.0000e-03 eta: 3:23:52 time: 0.5942 data_time: 0.0370 memory: 24011 grad_norm: 5.6598 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5759 loss: 0.5759 2022/08/05 07:32:29 - mmengine - INFO - Epoch(train) [80][420/940] lr: 1.0000e-03 eta: 3:23:40 time: 0.6376 data_time: 0.0363 memory: 24011 grad_norm: 5.5405 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6357 loss: 0.6357 2022/08/05 07:32:41 - mmengine - INFO - Epoch(train) [80][440/940] lr: 1.0000e-03 eta: 3:23:27 time: 0.5950 data_time: 0.0378 memory: 24011 grad_norm: 5.9598 top1_acc: 0.7188 top5_acc: 0.8438 loss_cls: 0.6539 loss: 0.6539 2022/08/05 07:32:54 - mmengine - INFO - Epoch(train) [80][460/940] lr: 1.0000e-03 eta: 3:23:14 time: 0.6611 data_time: 0.0386 memory: 24011 grad_norm: 5.4114 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5006 loss: 0.5006 2022/08/05 07:33:07 - mmengine - INFO - Epoch(train) [80][480/940] lr: 1.0000e-03 eta: 3:23:01 time: 0.6121 data_time: 0.0342 memory: 24011 grad_norm: 5.3783 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.5612 loss: 0.5612 2022/08/05 07:33:19 - mmengine - INFO - Epoch(train) [80][500/940] lr: 1.0000e-03 eta: 3:22:49 time: 0.6230 data_time: 0.0579 memory: 24011 grad_norm: 6.1569 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5577 loss: 0.5577 2022/08/05 07:33:32 - mmengine - INFO - Epoch(train) [80][520/940] lr: 1.0000e-03 eta: 3:22:36 time: 0.6451 data_time: 0.0395 memory: 24011 grad_norm: 5.2534 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6032 loss: 0.6032 2022/08/05 07:33:44 - mmengine - INFO - Epoch(train) [80][540/940] lr: 1.0000e-03 eta: 3:22:23 time: 0.6077 data_time: 0.0450 memory: 24011 grad_norm: 5.2589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5222 loss: 0.5222 2022/08/05 07:33:57 - mmengine - INFO - Epoch(train) [80][560/940] lr: 1.0000e-03 eta: 3:22:11 time: 0.6235 data_time: 0.0497 memory: 24011 grad_norm: 5.5014 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6203 loss: 0.6203 2022/08/05 07:34:10 - mmengine - INFO - Epoch(train) [80][580/940] lr: 1.0000e-03 eta: 3:21:58 time: 0.6430 data_time: 0.0380 memory: 24011 grad_norm: 5.3095 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.7006 loss: 0.7006 2022/08/05 07:34:22 - mmengine - INFO - Epoch(train) [80][600/940] lr: 1.0000e-03 eta: 3:21:45 time: 0.6289 data_time: 0.0359 memory: 24011 grad_norm: 5.3177 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5635 loss: 0.5635 2022/08/05 07:34:35 - mmengine - INFO - Epoch(train) [80][620/940] lr: 1.0000e-03 eta: 3:21:33 time: 0.6231 data_time: 0.0469 memory: 24011 grad_norm: 5.2981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5405 loss: 0.5405 2022/08/05 07:34:46 - mmengine - INFO - Epoch(train) [80][640/940] lr: 1.0000e-03 eta: 3:21:20 time: 0.5911 data_time: 0.0372 memory: 24011 grad_norm: 5.6501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6067 loss: 0.6067 2022/08/05 07:34:59 - mmengine - INFO - Epoch(train) [80][660/940] lr: 1.0000e-03 eta: 3:21:07 time: 0.6165 data_time: 0.0425 memory: 24011 grad_norm: 5.9218 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5820 loss: 0.5820 2022/08/05 07:35:11 - mmengine - INFO - Epoch(train) [80][680/940] lr: 1.0000e-03 eta: 3:20:55 time: 0.6313 data_time: 0.0328 memory: 24011 grad_norm: 5.6384 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6323 loss: 0.6323 2022/08/05 07:35:24 - mmengine - INFO - Epoch(train) [80][700/940] lr: 1.0000e-03 eta: 3:20:42 time: 0.6401 data_time: 0.0406 memory: 24011 grad_norm: 5.4573 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6004 loss: 0.6004 2022/08/05 07:35:36 - mmengine - INFO - Epoch(train) [80][720/940] lr: 1.0000e-03 eta: 3:20:29 time: 0.6025 data_time: 0.0360 memory: 24011 grad_norm: 5.4628 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5284 loss: 0.5284 2022/08/05 07:35:49 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:35:49 - mmengine - INFO - Epoch(train) [80][740/940] lr: 1.0000e-03 eta: 3:20:16 time: 0.6298 data_time: 0.0373 memory: 24011 grad_norm: 5.3105 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5278 loss: 0.5278 2022/08/05 07:36:01 - mmengine - INFO - Epoch(train) [80][760/940] lr: 1.0000e-03 eta: 3:20:04 time: 0.6062 data_time: 0.0327 memory: 24011 grad_norm: 5.3469 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5191 loss: 0.5191 2022/08/05 07:36:13 - mmengine - INFO - Epoch(train) [80][780/940] lr: 1.0000e-03 eta: 3:19:51 time: 0.6079 data_time: 0.0363 memory: 24011 grad_norm: 5.6127 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5899 loss: 0.5899 2022/08/05 07:36:25 - mmengine - INFO - Epoch(train) [80][800/940] lr: 1.0000e-03 eta: 3:19:38 time: 0.6126 data_time: 0.0342 memory: 24011 grad_norm: 5.1798 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6556 loss: 0.6556 2022/08/05 07:36:38 - mmengine - INFO - Epoch(train) [80][820/940] lr: 1.0000e-03 eta: 3:19:25 time: 0.6079 data_time: 0.0363 memory: 24011 grad_norm: 5.2681 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6159 loss: 0.6159 2022/08/05 07:36:51 - mmengine - INFO - Epoch(train) [80][840/940] lr: 1.0000e-03 eta: 3:19:13 time: 0.6637 data_time: 0.0336 memory: 24011 grad_norm: 5.3142 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6310 loss: 0.6310 2022/08/05 07:37:03 - mmengine - INFO - Epoch(train) [80][860/940] lr: 1.0000e-03 eta: 3:19:00 time: 0.6306 data_time: 0.0332 memory: 24011 grad_norm: 5.4831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5546 loss: 0.5546 2022/08/05 07:37:16 - mmengine - INFO - Epoch(train) [80][880/940] lr: 1.0000e-03 eta: 3:18:48 time: 0.6266 data_time: 0.0376 memory: 24011 grad_norm: 5.4888 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5747 loss: 0.5747 2022/08/05 07:37:28 - mmengine - INFO - Epoch(train) [80][900/940] lr: 1.0000e-03 eta: 3:18:35 time: 0.5948 data_time: 0.0364 memory: 24011 grad_norm: 6.5916 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5926 loss: 0.5926 2022/08/05 07:37:40 - mmengine - INFO - Epoch(train) [80][920/940] lr: 1.0000e-03 eta: 3:18:22 time: 0.5968 data_time: 0.0271 memory: 24011 grad_norm: 5.3227 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.4960 loss: 0.4960 2022/08/05 07:37:52 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:37:52 - mmengine - INFO - Epoch(train) [80][940/940] lr: 1.0000e-03 eta: 3:18:09 time: 0.5877 data_time: 0.0254 memory: 24011 grad_norm: 5.6775 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.5928 loss: 0.5928 2022/08/05 07:38:05 - mmengine - INFO - Epoch(val) [80][20/78] eta: 0:00:39 time: 0.6886 data_time: 0.5338 memory: 3625 2022/08/05 07:38:14 - mmengine - INFO - Epoch(val) [80][40/78] eta: 0:00:16 time: 0.4332 data_time: 0.2829 memory: 3625 2022/08/05 07:38:26 - mmengine - INFO - Epoch(val) [80][60/78] eta: 0:00:11 time: 0.6120 data_time: 0.4592 memory: 3625 2022/08/05 07:38:36 - mmengine - INFO - Epoch(val) [80][78/78] acc/top1: 0.7358 acc/top5: 0.9057 acc/mean1: 0.7357 2022/08/05 07:38:54 - mmengine - INFO - Epoch(train) [81][20/940] lr: 1.0000e-04 eta: 3:17:58 time: 0.8709 data_time: 0.2385 memory: 24011 grad_norm: 5.3314 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5672 loss: 0.5672 2022/08/05 07:39:06 - mmengine - INFO - Epoch(train) [81][40/940] lr: 1.0000e-04 eta: 3:17:45 time: 0.6028 data_time: 0.0360 memory: 24011 grad_norm: 5.2297 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5825 loss: 0.5825 2022/08/05 07:39:19 - mmengine - INFO - Epoch(train) [81][60/940] lr: 1.0000e-04 eta: 3:17:32 time: 0.6627 data_time: 0.0330 memory: 24011 grad_norm: 5.0502 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6112 loss: 0.6112 2022/08/05 07:39:31 - mmengine - INFO - Epoch(train) [81][80/940] lr: 1.0000e-04 eta: 3:17:19 time: 0.5900 data_time: 0.0328 memory: 24011 grad_norm: 5.3096 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4734 loss: 0.4734 2022/08/05 07:39:44 - mmengine - INFO - Epoch(train) [81][100/940] lr: 1.0000e-04 eta: 3:17:07 time: 0.6529 data_time: 0.0345 memory: 24011 grad_norm: 5.3814 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5284 loss: 0.5284 2022/08/05 07:39:56 - mmengine - INFO - Epoch(train) [81][120/940] lr: 1.0000e-04 eta: 3:16:54 time: 0.6092 data_time: 0.0406 memory: 24011 grad_norm: 5.2527 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6044 loss: 0.6044 2022/08/05 07:40:09 - mmengine - INFO - Epoch(train) [81][140/940] lr: 1.0000e-04 eta: 3:16:42 time: 0.6545 data_time: 0.0346 memory: 24011 grad_norm: 5.4867 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6131 loss: 0.6131 2022/08/05 07:40:22 - mmengine - INFO - Epoch(train) [81][160/940] lr: 1.0000e-04 eta: 3:16:29 time: 0.6050 data_time: 0.0361 memory: 24011 grad_norm: 5.0664 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.5982 loss: 0.5982 2022/08/05 07:40:34 - mmengine - INFO - Epoch(train) [81][180/940] lr: 1.0000e-04 eta: 3:16:16 time: 0.5985 data_time: 0.0364 memory: 24011 grad_norm: 5.4715 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5299 loss: 0.5299 2022/08/05 07:40:46 - mmengine - INFO - Epoch(train) [81][200/940] lr: 1.0000e-04 eta: 3:16:03 time: 0.6051 data_time: 0.0366 memory: 24011 grad_norm: 5.0816 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6403 loss: 0.6403 2022/08/05 07:40:58 - mmengine - INFO - Epoch(train) [81][220/940] lr: 1.0000e-04 eta: 3:15:51 time: 0.6337 data_time: 0.0342 memory: 24011 grad_norm: 5.2131 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5743 loss: 0.5743 2022/08/05 07:41:11 - mmengine - INFO - Epoch(train) [81][240/940] lr: 1.0000e-04 eta: 3:15:38 time: 0.6238 data_time: 0.0363 memory: 24011 grad_norm: 5.1780 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5740 loss: 0.5740 2022/08/05 07:41:23 - mmengine - INFO - Epoch(train) [81][260/940] lr: 1.0000e-04 eta: 3:15:25 time: 0.6343 data_time: 0.0319 memory: 24011 grad_norm: 5.1444 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5611 loss: 0.5611 2022/08/05 07:41:36 - mmengine - INFO - Epoch(train) [81][280/940] lr: 1.0000e-04 eta: 3:15:12 time: 0.6171 data_time: 0.0356 memory: 24011 grad_norm: 5.5331 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.6050 loss: 0.6050 2022/08/05 07:41:48 - mmengine - INFO - Epoch(train) [81][300/940] lr: 1.0000e-04 eta: 3:15:00 time: 0.5998 data_time: 0.0324 memory: 24011 grad_norm: 5.2081 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5161 loss: 0.5161 2022/08/05 07:42:00 - mmengine - INFO - Epoch(train) [81][320/940] lr: 1.0000e-04 eta: 3:14:47 time: 0.6266 data_time: 0.0536 memory: 24011 grad_norm: 5.3733 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6177 loss: 0.6177 2022/08/05 07:42:13 - mmengine - INFO - Epoch(train) [81][340/940] lr: 1.0000e-04 eta: 3:14:34 time: 0.6486 data_time: 0.0728 memory: 24011 grad_norm: 5.3292 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5909 loss: 0.5909 2022/08/05 07:42:26 - mmengine - INFO - Epoch(train) [81][360/940] lr: 1.0000e-04 eta: 3:14:22 time: 0.6223 data_time: 0.0420 memory: 24011 grad_norm: 5.0453 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5047 loss: 0.5047 2022/08/05 07:42:38 - mmengine - INFO - Epoch(train) [81][380/940] lr: 1.0000e-04 eta: 3:14:09 time: 0.6172 data_time: 0.0345 memory: 24011 grad_norm: 5.8203 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5476 loss: 0.5476 2022/08/05 07:42:50 - mmengine - INFO - Epoch(train) [81][400/940] lr: 1.0000e-04 eta: 3:13:56 time: 0.6129 data_time: 0.0301 memory: 24011 grad_norm: 5.0191 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5017 loss: 0.5017 2022/08/05 07:43:03 - mmengine - INFO - Epoch(train) [81][420/940] lr: 1.0000e-04 eta: 3:13:44 time: 0.6302 data_time: 0.0365 memory: 24011 grad_norm: 5.0200 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5586 loss: 0.5586 2022/08/05 07:43:16 - mmengine - INFO - Epoch(train) [81][440/940] lr: 1.0000e-04 eta: 3:13:31 time: 0.6399 data_time: 0.0587 memory: 24011 grad_norm: 5.5912 top1_acc: 0.7500 top5_acc: 0.8438 loss_cls: 0.5414 loss: 0.5414 2022/08/05 07:43:29 - mmengine - INFO - Epoch(train) [81][460/940] lr: 1.0000e-04 eta: 3:13:19 time: 0.6791 data_time: 0.0327 memory: 24011 grad_norm: 4.9817 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4852 loss: 0.4852 2022/08/05 07:43:41 - mmengine - INFO - Epoch(train) [81][480/940] lr: 1.0000e-04 eta: 3:13:06 time: 0.5832 data_time: 0.0312 memory: 24011 grad_norm: 5.2880 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.5445 loss: 0.5445 2022/08/05 07:43:53 - mmengine - INFO - Epoch(train) [81][500/940] lr: 1.0000e-04 eta: 3:12:53 time: 0.5865 data_time: 0.0319 memory: 24011 grad_norm: 6.2832 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5630 loss: 0.5630 2022/08/05 07:44:05 - mmengine - INFO - Epoch(train) [81][520/940] lr: 1.0000e-04 eta: 3:12:40 time: 0.5889 data_time: 0.0378 memory: 24011 grad_norm: 5.2494 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5034 loss: 0.5034 2022/08/05 07:44:17 - mmengine - INFO - Epoch(train) [81][540/940] lr: 1.0000e-04 eta: 3:12:27 time: 0.6134 data_time: 0.0341 memory: 24011 grad_norm: 5.1708 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5331 loss: 0.5331 2022/08/05 07:44:30 - mmengine - INFO - Epoch(train) [81][560/940] lr: 1.0000e-04 eta: 3:12:15 time: 0.6559 data_time: 0.0341 memory: 24011 grad_norm: 5.0041 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4694 loss: 0.4694 2022/08/05 07:44:43 - mmengine - INFO - Epoch(train) [81][580/940] lr: 1.0000e-04 eta: 3:12:02 time: 0.6258 data_time: 0.0664 memory: 24011 grad_norm: 5.2135 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6048 loss: 0.6048 2022/08/05 07:44:55 - mmengine - INFO - Epoch(train) [81][600/940] lr: 1.0000e-04 eta: 3:11:49 time: 0.6351 data_time: 0.0710 memory: 24011 grad_norm: 5.2173 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5662 loss: 0.5662 2022/08/05 07:45:08 - mmengine - INFO - Epoch(train) [81][620/940] lr: 1.0000e-04 eta: 3:11:37 time: 0.6524 data_time: 0.0734 memory: 24011 grad_norm: 5.5961 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5486 loss: 0.5486 2022/08/05 07:45:21 - mmengine - INFO - Epoch(train) [81][640/940] lr: 1.0000e-04 eta: 3:11:24 time: 0.6271 data_time: 0.0607 memory: 24011 grad_norm: 5.1746 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.5565 loss: 0.5565 2022/08/05 07:45:34 - mmengine - INFO - Epoch(train) [81][660/940] lr: 1.0000e-04 eta: 3:11:11 time: 0.6376 data_time: 0.0576 memory: 24011 grad_norm: 5.1995 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5761 loss: 0.5761 2022/08/05 07:45:46 - mmengine - INFO - Epoch(train) [81][680/940] lr: 1.0000e-04 eta: 3:10:59 time: 0.6058 data_time: 0.0433 memory: 24011 grad_norm: 5.1922 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5839 loss: 0.5839 2022/08/05 07:45:58 - mmengine - INFO - Epoch(train) [81][700/940] lr: 1.0000e-04 eta: 3:10:46 time: 0.6252 data_time: 0.0687 memory: 24011 grad_norm: 5.2545 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5669 loss: 0.5669 2022/08/05 07:46:11 - mmengine - INFO - Epoch(train) [81][720/940] lr: 1.0000e-04 eta: 3:10:34 time: 0.6618 data_time: 0.1030 memory: 24011 grad_norm: 5.2276 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5577 loss: 0.5577 2022/08/05 07:46:24 - mmengine - INFO - Epoch(train) [81][740/940] lr: 1.0000e-04 eta: 3:10:21 time: 0.6145 data_time: 0.0599 memory: 24011 grad_norm: 5.2913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5515 loss: 0.5515 2022/08/05 07:46:36 - mmengine - INFO - Epoch(train) [81][760/940] lr: 1.0000e-04 eta: 3:10:08 time: 0.5894 data_time: 0.0350 memory: 24011 grad_norm: 5.2905 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5797 loss: 0.5797 2022/08/05 07:46:48 - mmengine - INFO - Epoch(train) [81][780/940] lr: 1.0000e-04 eta: 3:09:55 time: 0.6364 data_time: 0.0850 memory: 24011 grad_norm: 7.9539 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5552 loss: 0.5552 2022/08/05 07:47:01 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:47:01 - mmengine - INFO - Epoch(train) [81][800/940] lr: 1.0000e-04 eta: 3:09:43 time: 0.6251 data_time: 0.0709 memory: 24011 grad_norm: 6.4384 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6164 loss: 0.6164 2022/08/05 07:47:12 - mmengine - INFO - Epoch(train) [81][820/940] lr: 1.0000e-04 eta: 3:09:30 time: 0.5770 data_time: 0.0323 memory: 24011 grad_norm: 5.5141 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5495 loss: 0.5495 2022/08/05 07:47:24 - mmengine - INFO - Epoch(train) [81][840/940] lr: 1.0000e-04 eta: 3:09:17 time: 0.5909 data_time: 0.0377 memory: 24011 grad_norm: 5.6125 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5497 loss: 0.5497 2022/08/05 07:47:37 - mmengine - INFO - Epoch(train) [81][860/940] lr: 1.0000e-04 eta: 3:09:04 time: 0.6370 data_time: 0.0568 memory: 24011 grad_norm: 5.2755 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5487 loss: 0.5487 2022/08/05 07:47:49 - mmengine - INFO - Epoch(train) [81][880/940] lr: 1.0000e-04 eta: 3:08:51 time: 0.6033 data_time: 0.0439 memory: 24011 grad_norm: 5.1455 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.4941 loss: 0.4941 2022/08/05 07:48:02 - mmengine - INFO - Epoch(train) [81][900/940] lr: 1.0000e-04 eta: 3:08:39 time: 0.6454 data_time: 0.0974 memory: 24011 grad_norm: 5.4462 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5662 loss: 0.5662 2022/08/05 07:48:15 - mmengine - INFO - Epoch(train) [81][920/940] lr: 1.0000e-04 eta: 3:08:26 time: 0.6233 data_time: 0.0596 memory: 24011 grad_norm: 5.4847 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5270 loss: 0.5270 2022/08/05 07:48:26 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:48:26 - mmengine - INFO - Epoch(train) [81][940/940] lr: 1.0000e-04 eta: 3:08:13 time: 0.5616 data_time: 0.0519 memory: 24011 grad_norm: 6.2446 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4810 loss: 0.4810 2022/08/05 07:48:26 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/08/05 07:48:45 - mmengine - INFO - Epoch(val) [81][20/78] eta: 0:00:39 time: 0.6777 data_time: 0.5235 memory: 3625 2022/08/05 07:48:54 - mmengine - INFO - Epoch(val) [81][40/78] eta: 0:00:17 time: 0.4530 data_time: 0.3010 memory: 3625 2022/08/05 07:49:05 - mmengine - INFO - Epoch(val) [81][60/78] eta: 0:00:10 time: 0.5851 data_time: 0.4352 memory: 3625 2022/08/05 07:49:14 - mmengine - INFO - Epoch(val) [81][78/78] acc/top1: 0.7397 acc/top5: 0.9073 acc/mean1: 0.7396 2022/08/05 07:49:31 - mmengine - INFO - Epoch(train) [82][20/940] lr: 1.0000e-04 eta: 3:08:02 time: 0.8515 data_time: 0.2415 memory: 24011 grad_norm: 4.9871 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4613 loss: 0.4613 2022/08/05 07:49:44 - mmengine - INFO - Epoch(train) [82][40/940] lr: 1.0000e-04 eta: 3:07:49 time: 0.6402 data_time: 0.0363 memory: 24011 grad_norm: 5.1935 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5851 loss: 0.5851 2022/08/05 07:49:57 - mmengine - INFO - Epoch(train) [82][60/940] lr: 1.0000e-04 eta: 3:07:36 time: 0.6237 data_time: 0.0383 memory: 24011 grad_norm: 5.1098 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6149 loss: 0.6149 2022/08/05 07:50:08 - mmengine - INFO - Epoch(train) [82][80/940] lr: 1.0000e-04 eta: 3:07:23 time: 0.5917 data_time: 0.0287 memory: 24011 grad_norm: 5.4434 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6201 loss: 0.6201 2022/08/05 07:50:21 - mmengine - INFO - Epoch(train) [82][100/940] lr: 1.0000e-04 eta: 3:07:11 time: 0.6343 data_time: 0.0431 memory: 24011 grad_norm: 6.5613 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5952 loss: 0.5952 2022/08/05 07:50:34 - mmengine - INFO - Epoch(train) [82][120/940] lr: 1.0000e-04 eta: 3:06:58 time: 0.6193 data_time: 0.0292 memory: 24011 grad_norm: 5.4091 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5904 loss: 0.5904 2022/08/05 07:50:46 - mmengine - INFO - Epoch(train) [82][140/940] lr: 1.0000e-04 eta: 3:06:45 time: 0.6441 data_time: 0.0660 memory: 24011 grad_norm: 5.0200 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5756 loss: 0.5756 2022/08/05 07:51:00 - mmengine - INFO - Epoch(train) [82][160/940] lr: 1.0000e-04 eta: 3:06:33 time: 0.6601 data_time: 0.0282 memory: 24011 grad_norm: 5.2482 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5601 loss: 0.5601 2022/08/05 07:51:12 - mmengine - INFO - Epoch(train) [82][180/940] lr: 1.0000e-04 eta: 3:06:20 time: 0.6152 data_time: 0.0447 memory: 24011 grad_norm: 5.3849 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5269 loss: 0.5269 2022/08/05 07:51:25 - mmengine - INFO - Epoch(train) [82][200/940] lr: 1.0000e-04 eta: 3:06:08 time: 0.6275 data_time: 0.0770 memory: 24011 grad_norm: 5.1299 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5469 loss: 0.5469 2022/08/05 07:51:37 - mmengine - INFO - Epoch(train) [82][220/940] lr: 1.0000e-04 eta: 3:05:55 time: 0.6356 data_time: 0.0904 memory: 24011 grad_norm: 5.2622 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.5688 loss: 0.5688 2022/08/05 07:51:50 - mmengine - INFO - Epoch(train) [82][240/940] lr: 1.0000e-04 eta: 3:05:42 time: 0.6322 data_time: 0.0597 memory: 24011 grad_norm: 5.4302 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5588 loss: 0.5588 2022/08/05 07:52:02 - mmengine - INFO - Epoch(train) [82][260/940] lr: 1.0000e-04 eta: 3:05:30 time: 0.6124 data_time: 0.0587 memory: 24011 grad_norm: 6.1106 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5511 loss: 0.5511 2022/08/05 07:52:14 - mmengine - INFO - Epoch(train) [82][280/940] lr: 1.0000e-04 eta: 3:05:17 time: 0.6076 data_time: 0.0574 memory: 24011 grad_norm: 5.1771 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5925 loss: 0.5925 2022/08/05 07:52:27 - mmengine - INFO - Epoch(train) [82][300/940] lr: 1.0000e-04 eta: 3:05:04 time: 0.6140 data_time: 0.0620 memory: 24011 grad_norm: 5.4188 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5626 loss: 0.5626 2022/08/05 07:52:39 - mmengine - INFO - Epoch(train) [82][320/940] lr: 1.0000e-04 eta: 3:04:51 time: 0.6217 data_time: 0.0628 memory: 24011 grad_norm: 5.1806 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.6265 loss: 0.6265 2022/08/05 07:52:51 - mmengine - INFO - Epoch(train) [82][340/940] lr: 1.0000e-04 eta: 3:04:39 time: 0.6003 data_time: 0.0414 memory: 24011 grad_norm: 5.6105 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5437 loss: 0.5437 2022/08/05 07:53:04 - mmengine - INFO - Epoch(train) [82][360/940] lr: 1.0000e-04 eta: 3:04:26 time: 0.6551 data_time: 0.0328 memory: 24011 grad_norm: 5.4829 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6578 loss: 0.6578 2022/08/05 07:53:17 - mmengine - INFO - Epoch(train) [82][380/940] lr: 1.0000e-04 eta: 3:04:13 time: 0.6593 data_time: 0.0390 memory: 24011 grad_norm: 5.6420 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6506 loss: 0.6506 2022/08/05 07:53:30 - mmengine - INFO - Epoch(train) [82][400/940] lr: 1.0000e-04 eta: 3:04:01 time: 0.6125 data_time: 0.0355 memory: 24011 grad_norm: 5.1758 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4938 loss: 0.4938 2022/08/05 07:53:43 - mmengine - INFO - Epoch(train) [82][420/940] lr: 1.0000e-04 eta: 3:03:48 time: 0.6612 data_time: 0.0417 memory: 24011 grad_norm: 5.0482 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6158 loss: 0.6158 2022/08/05 07:53:55 - mmengine - INFO - Epoch(train) [82][440/940] lr: 1.0000e-04 eta: 3:03:35 time: 0.6060 data_time: 0.0379 memory: 24011 grad_norm: 5.5869 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5170 loss: 0.5170 2022/08/05 07:54:07 - mmengine - INFO - Epoch(train) [82][460/940] lr: 1.0000e-04 eta: 3:03:23 time: 0.6135 data_time: 0.0383 memory: 24011 grad_norm: 5.4251 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6408 loss: 0.6408 2022/08/05 07:54:19 - mmengine - INFO - Epoch(train) [82][480/940] lr: 1.0000e-04 eta: 3:03:10 time: 0.5853 data_time: 0.0409 memory: 24011 grad_norm: 5.3747 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6417 loss: 0.6417 2022/08/05 07:54:31 - mmengine - INFO - Epoch(train) [82][500/940] lr: 1.0000e-04 eta: 3:02:57 time: 0.6141 data_time: 0.0367 memory: 24011 grad_norm: 5.2855 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5666 loss: 0.5666 2022/08/05 07:54:43 - mmengine - INFO - Epoch(train) [82][520/940] lr: 1.0000e-04 eta: 3:02:44 time: 0.6112 data_time: 0.0499 memory: 24011 grad_norm: 5.1299 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5251 loss: 0.5251 2022/08/05 07:54:57 - mmengine - INFO - Epoch(train) [82][540/940] lr: 1.0000e-04 eta: 3:02:32 time: 0.6650 data_time: 0.0342 memory: 24011 grad_norm: 5.1313 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5410 loss: 0.5410 2022/08/05 07:55:09 - mmengine - INFO - Epoch(train) [82][560/940] lr: 1.0000e-04 eta: 3:02:19 time: 0.6003 data_time: 0.0331 memory: 24011 grad_norm: 5.6547 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6018 loss: 0.6018 2022/08/05 07:55:21 - mmengine - INFO - Epoch(train) [82][580/940] lr: 1.0000e-04 eta: 3:02:06 time: 0.6268 data_time: 0.0331 memory: 24011 grad_norm: 5.4084 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5529 loss: 0.5529 2022/08/05 07:55:34 - mmengine - INFO - Epoch(train) [82][600/940] lr: 1.0000e-04 eta: 3:01:54 time: 0.6528 data_time: 0.0325 memory: 24011 grad_norm: 5.2986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5107 loss: 0.5107 2022/08/05 07:55:46 - mmengine - INFO - Epoch(train) [82][620/940] lr: 1.0000e-04 eta: 3:01:41 time: 0.6015 data_time: 0.0349 memory: 24011 grad_norm: 5.4736 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5483 loss: 0.5483 2022/08/05 07:55:59 - mmengine - INFO - Epoch(train) [82][640/940] lr: 1.0000e-04 eta: 3:01:28 time: 0.6114 data_time: 0.0382 memory: 24011 grad_norm: 5.3504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5397 loss: 0.5397 2022/08/05 07:56:12 - mmengine - INFO - Epoch(train) [82][660/940] lr: 1.0000e-04 eta: 3:01:16 time: 0.6427 data_time: 0.0305 memory: 24011 grad_norm: 4.9564 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5078 loss: 0.5078 2022/08/05 07:56:24 - mmengine - INFO - Epoch(train) [82][680/940] lr: 1.0000e-04 eta: 3:01:03 time: 0.6107 data_time: 0.0432 memory: 24011 grad_norm: 5.2934 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5122 loss: 0.5122 2022/08/05 07:56:36 - mmengine - INFO - Epoch(train) [82][700/940] lr: 1.0000e-04 eta: 3:00:50 time: 0.6324 data_time: 0.0525 memory: 24011 grad_norm: 5.1908 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5796 loss: 0.5796 2022/08/05 07:56:49 - mmengine - INFO - Epoch(train) [82][720/940] lr: 1.0000e-04 eta: 3:00:38 time: 0.6462 data_time: 0.0683 memory: 24011 grad_norm: 5.4136 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.7157 loss: 0.7157 2022/08/05 07:57:01 - mmengine - INFO - Epoch(train) [82][740/940] lr: 1.0000e-04 eta: 3:00:25 time: 0.5949 data_time: 0.0288 memory: 24011 grad_norm: 5.3135 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4412 loss: 0.4412 2022/08/05 07:57:14 - mmengine - INFO - Epoch(train) [82][760/940] lr: 1.0000e-04 eta: 3:00:12 time: 0.6450 data_time: 0.0860 memory: 24011 grad_norm: 5.4213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5192 loss: 0.5192 2022/08/05 07:57:26 - mmengine - INFO - Epoch(train) [82][780/940] lr: 1.0000e-04 eta: 3:00:00 time: 0.6079 data_time: 0.0334 memory: 24011 grad_norm: 5.0663 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5621 loss: 0.5621 2022/08/05 07:57:38 - mmengine - INFO - Epoch(train) [82][800/940] lr: 1.0000e-04 eta: 2:59:47 time: 0.5893 data_time: 0.0355 memory: 24011 grad_norm: 5.4977 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5516 loss: 0.5516 2022/08/05 07:57:50 - mmengine - INFO - Epoch(train) [82][820/940] lr: 1.0000e-04 eta: 2:59:34 time: 0.6152 data_time: 0.0466 memory: 24011 grad_norm: 5.1452 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5585 loss: 0.5585 2022/08/05 07:58:03 - mmengine - INFO - Epoch(train) [82][840/940] lr: 1.0000e-04 eta: 2:59:21 time: 0.6327 data_time: 0.0545 memory: 24011 grad_norm: 5.1857 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5908 loss: 0.5908 2022/08/05 07:58:15 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:58:15 - mmengine - INFO - Epoch(train) [82][860/940] lr: 1.0000e-04 eta: 2:59:09 time: 0.6145 data_time: 0.0295 memory: 24011 grad_norm: 5.1814 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5478 loss: 0.5478 2022/08/05 07:58:28 - mmengine - INFO - Epoch(train) [82][880/940] lr: 1.0000e-04 eta: 2:58:56 time: 0.6382 data_time: 0.0416 memory: 24011 grad_norm: 5.0281 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4742 loss: 0.4742 2022/08/05 07:58:41 - mmengine - INFO - Epoch(train) [82][900/940] lr: 1.0000e-04 eta: 2:58:43 time: 0.6211 data_time: 0.0299 memory: 24011 grad_norm: 6.4513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5713 loss: 0.5713 2022/08/05 07:58:53 - mmengine - INFO - Epoch(train) [82][920/940] lr: 1.0000e-04 eta: 2:58:31 time: 0.6256 data_time: 0.0395 memory: 24011 grad_norm: 6.1271 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6001 loss: 0.6001 2022/08/05 07:59:05 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 07:59:05 - mmengine - INFO - Epoch(train) [82][940/940] lr: 1.0000e-04 eta: 2:58:18 time: 0.5697 data_time: 0.0223 memory: 24011 grad_norm: 5.6107 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5343 loss: 0.5343 2022/08/05 07:59:18 - mmengine - INFO - Epoch(val) [82][20/78] eta: 0:00:39 time: 0.6732 data_time: 0.5183 memory: 3625 2022/08/05 07:59:27 - mmengine - INFO - Epoch(val) [82][40/78] eta: 0:00:16 time: 0.4281 data_time: 0.2762 memory: 3625 2022/08/05 07:59:39 - mmengine - INFO - Epoch(val) [82][60/78] eta: 0:00:11 time: 0.6306 data_time: 0.4746 memory: 3625 2022/08/05 07:59:50 - mmengine - INFO - Epoch(val) [82][78/78] acc/top1: 0.7396 acc/top5: 0.9075 acc/mean1: 0.7395 2022/08/05 08:00:07 - mmengine - INFO - Epoch(train) [83][20/940] lr: 1.0000e-04 eta: 2:58:06 time: 0.8685 data_time: 0.2425 memory: 24011 grad_norm: 6.0176 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5264 loss: 0.5264 2022/08/05 08:00:19 - mmengine - INFO - Epoch(train) [83][40/940] lr: 1.0000e-04 eta: 2:57:53 time: 0.6089 data_time: 0.0336 memory: 24011 grad_norm: 5.4657 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5346 loss: 0.5346 2022/08/05 08:00:32 - mmengine - INFO - Epoch(train) [83][60/940] lr: 1.0000e-04 eta: 2:57:41 time: 0.6577 data_time: 0.0376 memory: 24011 grad_norm: 5.2316 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5613 loss: 0.5613 2022/08/05 08:00:46 - mmengine - INFO - Epoch(train) [83][80/940] lr: 1.0000e-04 eta: 2:57:28 time: 0.6574 data_time: 0.0341 memory: 24011 grad_norm: 5.1263 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4923 loss: 0.4923 2022/08/05 08:00:57 - mmengine - INFO - Epoch(train) [83][100/940] lr: 1.0000e-04 eta: 2:57:16 time: 0.5921 data_time: 0.0378 memory: 24011 grad_norm: 5.2829 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5943 loss: 0.5943 2022/08/05 08:01:10 - mmengine - INFO - Epoch(train) [83][120/940] lr: 1.0000e-04 eta: 2:57:03 time: 0.6164 data_time: 0.0357 memory: 24011 grad_norm: 5.9046 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6170 loss: 0.6170 2022/08/05 08:01:23 - mmengine - INFO - Epoch(train) [83][140/940] lr: 1.0000e-04 eta: 2:56:50 time: 0.6558 data_time: 0.0387 memory: 24011 grad_norm: 4.9750 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5844 loss: 0.5844 2022/08/05 08:01:35 - mmengine - INFO - Epoch(train) [83][160/940] lr: 1.0000e-04 eta: 2:56:37 time: 0.5812 data_time: 0.0331 memory: 24011 grad_norm: 5.5032 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5959 loss: 0.5959 2022/08/05 08:01:47 - mmengine - INFO - Epoch(train) [83][180/940] lr: 1.0000e-04 eta: 2:56:25 time: 0.6126 data_time: 0.0556 memory: 24011 grad_norm: 5.9275 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5686 loss: 0.5686 2022/08/05 08:02:00 - mmengine - INFO - Epoch(train) [83][200/940] lr: 1.0000e-04 eta: 2:56:12 time: 0.6283 data_time: 0.0729 memory: 24011 grad_norm: 6.1508 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5372 loss: 0.5372 2022/08/05 08:02:12 - mmengine - INFO - Epoch(train) [83][220/940] lr: 1.0000e-04 eta: 2:55:59 time: 0.6510 data_time: 0.0562 memory: 24011 grad_norm: 5.0148 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5174 loss: 0.5174 2022/08/05 08:02:24 - mmengine - INFO - Epoch(train) [83][240/940] lr: 1.0000e-04 eta: 2:55:47 time: 0.5947 data_time: 0.0235 memory: 24011 grad_norm: 5.4152 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5953 loss: 0.5953 2022/08/05 08:02:37 - mmengine - INFO - Epoch(train) [83][260/940] lr: 1.0000e-04 eta: 2:55:34 time: 0.6413 data_time: 0.0600 memory: 24011 grad_norm: 9.5627 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5043 loss: 0.5043 2022/08/05 08:02:49 - mmengine - INFO - Epoch(train) [83][280/940] lr: 1.0000e-04 eta: 2:55:21 time: 0.5924 data_time: 0.0361 memory: 24011 grad_norm: 5.0244 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.4771 loss: 0.4771 2022/08/05 08:03:02 - mmengine - INFO - Epoch(train) [83][300/940] lr: 1.0000e-04 eta: 2:55:09 time: 0.6211 data_time: 0.0320 memory: 24011 grad_norm: 5.3854 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5895 loss: 0.5895 2022/08/05 08:03:15 - mmengine - INFO - Epoch(train) [83][320/940] lr: 1.0000e-04 eta: 2:54:56 time: 0.6585 data_time: 0.0366 memory: 24011 grad_norm: 5.4315 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6113 loss: 0.6113 2022/08/05 08:03:27 - mmengine - INFO - Epoch(train) [83][340/940] lr: 1.0000e-04 eta: 2:54:43 time: 0.6412 data_time: 0.0431 memory: 24011 grad_norm: 5.9465 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5882 loss: 0.5882 2022/08/05 08:03:40 - mmengine - INFO - Epoch(train) [83][360/940] lr: 1.0000e-04 eta: 2:54:31 time: 0.6061 data_time: 0.0343 memory: 24011 grad_norm: 5.1787 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5861 loss: 0.5861 2022/08/05 08:03:52 - mmengine - INFO - Epoch(train) [83][380/940] lr: 1.0000e-04 eta: 2:54:18 time: 0.6312 data_time: 0.0385 memory: 24011 grad_norm: 5.3250 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.4745 loss: 0.4745 2022/08/05 08:04:04 - mmengine - INFO - Epoch(train) [83][400/940] lr: 1.0000e-04 eta: 2:54:05 time: 0.5866 data_time: 0.0308 memory: 24011 grad_norm: 5.4192 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5084 loss: 0.5084 2022/08/05 08:04:16 - mmengine - INFO - Epoch(train) [83][420/940] lr: 1.0000e-04 eta: 2:53:52 time: 0.6167 data_time: 0.0427 memory: 24011 grad_norm: 5.0025 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6251 loss: 0.6251 2022/08/05 08:04:29 - mmengine - INFO - Epoch(train) [83][440/940] lr: 1.0000e-04 eta: 2:53:40 time: 0.6337 data_time: 0.0354 memory: 24011 grad_norm: 5.5524 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5606 loss: 0.5606 2022/08/05 08:04:42 - mmengine - INFO - Epoch(train) [83][460/940] lr: 1.0000e-04 eta: 2:53:27 time: 0.6403 data_time: 0.0349 memory: 24011 grad_norm: 5.1853 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.4919 loss: 0.4919 2022/08/05 08:04:54 - mmengine - INFO - Epoch(train) [83][480/940] lr: 1.0000e-04 eta: 2:53:14 time: 0.6084 data_time: 0.0359 memory: 24011 grad_norm: 5.4570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6232 loss: 0.6232 2022/08/05 08:05:06 - mmengine - INFO - Epoch(train) [83][500/940] lr: 1.0000e-04 eta: 2:53:02 time: 0.6101 data_time: 0.0492 memory: 24011 grad_norm: 5.0157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5338 loss: 0.5338 2022/08/05 08:05:20 - mmengine - INFO - Epoch(train) [83][520/940] lr: 1.0000e-04 eta: 2:52:49 time: 0.6898 data_time: 0.0400 memory: 24011 grad_norm: 5.1939 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6152 loss: 0.6152 2022/08/05 08:05:33 - mmengine - INFO - Epoch(train) [83][540/940] lr: 1.0000e-04 eta: 2:52:37 time: 0.6300 data_time: 0.0438 memory: 24011 grad_norm: 5.3951 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5748 loss: 0.5748 2022/08/05 08:05:45 - mmengine - INFO - Epoch(train) [83][560/940] lr: 1.0000e-04 eta: 2:52:24 time: 0.6200 data_time: 0.0475 memory: 24011 grad_norm: 5.0055 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4815 loss: 0.4815 2022/08/05 08:05:58 - mmengine - INFO - Epoch(train) [83][580/940] lr: 1.0000e-04 eta: 2:52:11 time: 0.6416 data_time: 0.0394 memory: 24011 grad_norm: 5.1841 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5632 loss: 0.5632 2022/08/05 08:06:10 - mmengine - INFO - Epoch(train) [83][600/940] lr: 1.0000e-04 eta: 2:51:59 time: 0.5957 data_time: 0.0347 memory: 24011 grad_norm: 5.2368 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5554 loss: 0.5554 2022/08/05 08:06:23 - mmengine - INFO - Epoch(train) [83][620/940] lr: 1.0000e-04 eta: 2:51:46 time: 0.6613 data_time: 0.0359 memory: 24011 grad_norm: 5.2419 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5881 loss: 0.5881 2022/08/05 08:06:35 - mmengine - INFO - Epoch(train) [83][640/940] lr: 1.0000e-04 eta: 2:51:33 time: 0.5760 data_time: 0.0353 memory: 24011 grad_norm: 7.6882 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6565 loss: 0.6565 2022/08/05 08:06:46 - mmengine - INFO - Epoch(train) [83][660/940] lr: 1.0000e-04 eta: 2:51:20 time: 0.5876 data_time: 0.0395 memory: 24011 grad_norm: 5.3701 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5752 loss: 0.5752 2022/08/05 08:06:58 - mmengine - INFO - Epoch(train) [83][680/940] lr: 1.0000e-04 eta: 2:51:08 time: 0.6108 data_time: 0.0538 memory: 24011 grad_norm: 5.1253 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5106 loss: 0.5106 2022/08/05 08:07:11 - mmengine - INFO - Epoch(train) [83][700/940] lr: 1.0000e-04 eta: 2:50:55 time: 0.6415 data_time: 0.0847 memory: 24011 grad_norm: 5.6045 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5862 loss: 0.5862 2022/08/05 08:07:24 - mmengine - INFO - Epoch(train) [83][720/940] lr: 1.0000e-04 eta: 2:50:42 time: 0.6161 data_time: 0.0638 memory: 24011 grad_norm: 5.1835 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5468 loss: 0.5468 2022/08/05 08:07:37 - mmengine - INFO - Epoch(train) [83][740/940] lr: 1.0000e-04 eta: 2:50:30 time: 0.6738 data_time: 0.1143 memory: 24011 grad_norm: 5.5759 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5257 loss: 0.5257 2022/08/05 08:07:50 - mmengine - INFO - Epoch(train) [83][760/940] lr: 1.0000e-04 eta: 2:50:17 time: 0.6447 data_time: 0.0615 memory: 24011 grad_norm: 5.6471 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4985 loss: 0.4985 2022/08/05 08:08:02 - mmengine - INFO - Epoch(train) [83][780/940] lr: 1.0000e-04 eta: 2:50:04 time: 0.6144 data_time: 0.0546 memory: 24011 grad_norm: 9.5724 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5490 loss: 0.5490 2022/08/05 08:08:14 - mmengine - INFO - Epoch(train) [83][800/940] lr: 1.0000e-04 eta: 2:49:52 time: 0.6080 data_time: 0.0319 memory: 24011 grad_norm: 4.8925 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4455 loss: 0.4455 2022/08/05 08:08:26 - mmengine - INFO - Epoch(train) [83][820/940] lr: 1.0000e-04 eta: 2:49:39 time: 0.5907 data_time: 0.0356 memory: 24011 grad_norm: 5.1385 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5774 loss: 0.5774 2022/08/05 08:08:38 - mmengine - INFO - Epoch(train) [83][840/940] lr: 1.0000e-04 eta: 2:49:26 time: 0.5869 data_time: 0.0377 memory: 24011 grad_norm: 5.5967 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5426 loss: 0.5426 2022/08/05 08:08:50 - mmengine - INFO - Epoch(train) [83][860/940] lr: 1.0000e-04 eta: 2:49:13 time: 0.5977 data_time: 0.0399 memory: 24011 grad_norm: 5.6946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5981 loss: 0.5981 2022/08/05 08:09:02 - mmengine - INFO - Epoch(train) [83][880/940] lr: 1.0000e-04 eta: 2:49:00 time: 0.5978 data_time: 0.0390 memory: 24011 grad_norm: 5.8252 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5017 loss: 0.5017 2022/08/05 08:09:14 - mmengine - INFO - Epoch(train) [83][900/940] lr: 1.0000e-04 eta: 2:48:48 time: 0.6195 data_time: 0.0386 memory: 24011 grad_norm: 5.1410 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5860 loss: 0.5860 2022/08/05 08:09:27 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:09:27 - mmengine - INFO - Epoch(train) [83][920/940] lr: 1.0000e-04 eta: 2:48:35 time: 0.6532 data_time: 0.0400 memory: 24011 grad_norm: 5.8914 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4642 loss: 0.4642 2022/08/05 08:09:39 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:09:39 - mmengine - INFO - Epoch(train) [83][940/940] lr: 1.0000e-04 eta: 2:48:22 time: 0.5549 data_time: 0.0276 memory: 24011 grad_norm: 6.0959 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.5512 loss: 0.5512 2022/08/05 08:09:52 - mmengine - INFO - Epoch(val) [83][20/78] eta: 0:00:38 time: 0.6670 data_time: 0.5102 memory: 3625 2022/08/05 08:10:01 - mmengine - INFO - Epoch(val) [83][40/78] eta: 0:00:16 time: 0.4450 data_time: 0.2922 memory: 3625 2022/08/05 08:10:13 - mmengine - INFO - Epoch(val) [83][60/78] eta: 0:00:10 time: 0.6102 data_time: 0.4475 memory: 3625 2022/08/05 08:10:24 - mmengine - INFO - Epoch(val) [83][78/78] acc/top1: 0.7392 acc/top5: 0.9072 acc/mean1: 0.7390 2022/08/05 08:10:41 - mmengine - INFO - Epoch(train) [84][20/940] lr: 1.0000e-04 eta: 2:48:11 time: 0.8864 data_time: 0.2596 memory: 24011 grad_norm: 6.1824 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.6044 loss: 0.6044 2022/08/05 08:10:53 - mmengine - INFO - Epoch(train) [84][40/940] lr: 1.0000e-04 eta: 2:47:58 time: 0.6009 data_time: 0.0380 memory: 24011 grad_norm: 5.4059 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5487 loss: 0.5487 2022/08/05 08:11:06 - mmengine - INFO - Epoch(train) [84][60/940] lr: 1.0000e-04 eta: 2:47:45 time: 0.6399 data_time: 0.0380 memory: 24011 grad_norm: 5.4774 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5262 loss: 0.5262 2022/08/05 08:11:19 - mmengine - INFO - Epoch(train) [84][80/940] lr: 1.0000e-04 eta: 2:47:33 time: 0.6355 data_time: 0.0358 memory: 24011 grad_norm: 5.3009 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5876 loss: 0.5876 2022/08/05 08:11:31 - mmengine - INFO - Epoch(train) [84][100/940] lr: 1.0000e-04 eta: 2:47:20 time: 0.6136 data_time: 0.0335 memory: 24011 grad_norm: 5.3941 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4945 loss: 0.4945 2022/08/05 08:11:44 - mmengine - INFO - Epoch(train) [84][120/940] lr: 1.0000e-04 eta: 2:47:07 time: 0.6566 data_time: 0.0359 memory: 24011 grad_norm: 5.2007 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5848 loss: 0.5848 2022/08/05 08:11:56 - mmengine - INFO - Epoch(train) [84][140/940] lr: 1.0000e-04 eta: 2:46:55 time: 0.5981 data_time: 0.0339 memory: 24011 grad_norm: 5.5627 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5235 loss: 0.5235 2022/08/05 08:12:09 - mmengine - INFO - Epoch(train) [84][160/940] lr: 1.0000e-04 eta: 2:46:42 time: 0.6131 data_time: 0.0404 memory: 24011 grad_norm: 5.3065 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5226 loss: 0.5226 2022/08/05 08:12:21 - mmengine - INFO - Epoch(train) [84][180/940] lr: 1.0000e-04 eta: 2:46:29 time: 0.6298 data_time: 0.0390 memory: 24011 grad_norm: 5.8058 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5969 loss: 0.5969 2022/08/05 08:12:33 - mmengine - INFO - Epoch(train) [84][200/940] lr: 1.0000e-04 eta: 2:46:16 time: 0.6048 data_time: 0.0332 memory: 24011 grad_norm: 5.3345 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.4699 loss: 0.4699 2022/08/05 08:12:46 - mmengine - INFO - Epoch(train) [84][220/940] lr: 1.0000e-04 eta: 2:46:04 time: 0.6405 data_time: 0.0444 memory: 24011 grad_norm: 5.6303 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5554 loss: 0.5554 2022/08/05 08:12:58 - mmengine - INFO - Epoch(train) [84][240/940] lr: 1.0000e-04 eta: 2:45:51 time: 0.6115 data_time: 0.0336 memory: 24011 grad_norm: 5.1237 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5219 loss: 0.5219 2022/08/05 08:13:12 - mmengine - INFO - Epoch(train) [84][260/940] lr: 1.0000e-04 eta: 2:45:39 time: 0.6847 data_time: 0.0540 memory: 24011 grad_norm: 5.4479 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5294 loss: 0.5294 2022/08/05 08:13:24 - mmengine - INFO - Epoch(train) [84][280/940] lr: 1.0000e-04 eta: 2:45:26 time: 0.5839 data_time: 0.0364 memory: 24011 grad_norm: 5.1820 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5327 loss: 0.5327 2022/08/05 08:13:36 - mmengine - INFO - Epoch(train) [84][300/940] lr: 1.0000e-04 eta: 2:45:13 time: 0.6298 data_time: 0.0386 memory: 24011 grad_norm: 5.2912 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5518 loss: 0.5518 2022/08/05 08:13:48 - mmengine - INFO - Epoch(train) [84][320/940] lr: 1.0000e-04 eta: 2:45:00 time: 0.6064 data_time: 0.0438 memory: 24011 grad_norm: 5.4282 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4719 loss: 0.4719 2022/08/05 08:14:01 - mmengine - INFO - Epoch(train) [84][340/940] lr: 1.0000e-04 eta: 2:44:48 time: 0.6368 data_time: 0.0328 memory: 24011 grad_norm: 5.1331 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5180 loss: 0.5180 2022/08/05 08:14:13 - mmengine - INFO - Epoch(train) [84][360/940] lr: 1.0000e-04 eta: 2:44:35 time: 0.5927 data_time: 0.0368 memory: 24011 grad_norm: 5.9800 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5515 loss: 0.5515 2022/08/05 08:14:26 - mmengine - INFO - Epoch(train) [84][380/940] lr: 1.0000e-04 eta: 2:44:22 time: 0.6402 data_time: 0.0351 memory: 24011 grad_norm: 5.8084 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5443 loss: 0.5443 2022/08/05 08:14:38 - mmengine - INFO - Epoch(train) [84][400/940] lr: 1.0000e-04 eta: 2:44:10 time: 0.6043 data_time: 0.0392 memory: 24011 grad_norm: 5.6073 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4768 loss: 0.4768 2022/08/05 08:14:51 - mmengine - INFO - Epoch(train) [84][420/940] lr: 1.0000e-04 eta: 2:43:57 time: 0.6670 data_time: 0.0355 memory: 24011 grad_norm: 5.4828 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5641 loss: 0.5641 2022/08/05 08:15:04 - mmengine - INFO - Epoch(train) [84][440/940] lr: 1.0000e-04 eta: 2:43:44 time: 0.6224 data_time: 0.0405 memory: 24011 grad_norm: 5.1518 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6425 loss: 0.6425 2022/08/05 08:15:15 - mmengine - INFO - Epoch(train) [84][460/940] lr: 1.0000e-04 eta: 2:43:32 time: 0.5784 data_time: 0.0380 memory: 24011 grad_norm: 5.0349 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6148 loss: 0.6148 2022/08/05 08:15:27 - mmengine - INFO - Epoch(train) [84][480/940] lr: 1.0000e-04 eta: 2:43:19 time: 0.6053 data_time: 0.0463 memory: 24011 grad_norm: 5.6808 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5901 loss: 0.5901 2022/08/05 08:15:40 - mmengine - INFO - Epoch(train) [84][500/940] lr: 1.0000e-04 eta: 2:43:06 time: 0.6388 data_time: 0.0342 memory: 24011 grad_norm: 5.0432 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5648 loss: 0.5648 2022/08/05 08:15:52 - mmengine - INFO - Epoch(train) [84][520/940] lr: 1.0000e-04 eta: 2:42:53 time: 0.5954 data_time: 0.0352 memory: 24011 grad_norm: 5.0686 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.4645 loss: 0.4645 2022/08/05 08:16:06 - mmengine - INFO - Epoch(train) [84][540/940] lr: 1.0000e-04 eta: 2:42:41 time: 0.6853 data_time: 0.0347 memory: 24011 grad_norm: 5.6055 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.6032 loss: 0.6032 2022/08/05 08:16:18 - mmengine - INFO - Epoch(train) [84][560/940] lr: 1.0000e-04 eta: 2:42:28 time: 0.6056 data_time: 0.0300 memory: 24011 grad_norm: 5.5816 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4812 loss: 0.4812 2022/08/05 08:16:31 - mmengine - INFO - Epoch(train) [84][580/940] lr: 1.0000e-04 eta: 2:42:16 time: 0.6394 data_time: 0.0316 memory: 24011 grad_norm: 5.0001 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5386 loss: 0.5386 2022/08/05 08:16:44 - mmengine - INFO - Epoch(train) [84][600/940] lr: 1.0000e-04 eta: 2:42:03 time: 0.6594 data_time: 0.0271 memory: 24011 grad_norm: 5.2885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5734 loss: 0.5734 2022/08/05 08:16:57 - mmengine - INFO - Epoch(train) [84][620/940] lr: 1.0000e-04 eta: 2:41:51 time: 0.6557 data_time: 0.0342 memory: 24011 grad_norm: 5.1519 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.6336 loss: 0.6336 2022/08/05 08:17:09 - mmengine - INFO - Epoch(train) [84][640/940] lr: 1.0000e-04 eta: 2:41:38 time: 0.5969 data_time: 0.0389 memory: 24011 grad_norm: 5.8830 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5272 loss: 0.5272 2022/08/05 08:17:21 - mmengine - INFO - Epoch(train) [84][660/940] lr: 1.0000e-04 eta: 2:41:25 time: 0.6041 data_time: 0.0381 memory: 24011 grad_norm: 6.6123 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5297 loss: 0.5297 2022/08/05 08:17:33 - mmengine - INFO - Epoch(train) [84][680/940] lr: 1.0000e-04 eta: 2:41:12 time: 0.5913 data_time: 0.0325 memory: 24011 grad_norm: 5.2300 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6111 loss: 0.6111 2022/08/05 08:17:46 - mmengine - INFO - Epoch(train) [84][700/940] lr: 1.0000e-04 eta: 2:41:00 time: 0.6525 data_time: 0.0359 memory: 24011 grad_norm: 5.0686 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5293 loss: 0.5293 2022/08/05 08:17:59 - mmengine - INFO - Epoch(train) [84][720/940] lr: 1.0000e-04 eta: 2:40:47 time: 0.6337 data_time: 0.0386 memory: 24011 grad_norm: 5.1534 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6054 loss: 0.6054 2022/08/05 08:18:11 - mmengine - INFO - Epoch(train) [84][740/940] lr: 1.0000e-04 eta: 2:40:34 time: 0.6074 data_time: 0.0313 memory: 24011 grad_norm: 5.2378 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5965 loss: 0.5965 2022/08/05 08:18:23 - mmengine - INFO - Epoch(train) [84][760/940] lr: 1.0000e-04 eta: 2:40:21 time: 0.5973 data_time: 0.0349 memory: 24011 grad_norm: 5.2181 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5732 loss: 0.5732 2022/08/05 08:18:35 - mmengine - INFO - Epoch(train) [84][780/940] lr: 1.0000e-04 eta: 2:40:09 time: 0.6126 data_time: 0.0372 memory: 24011 grad_norm: 5.0455 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5516 loss: 0.5516 2022/08/05 08:18:47 - mmengine - INFO - Epoch(train) [84][800/940] lr: 1.0000e-04 eta: 2:39:56 time: 0.6202 data_time: 0.0374 memory: 24011 grad_norm: 5.9165 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6596 loss: 0.6596 2022/08/05 08:19:01 - mmengine - INFO - Epoch(train) [84][820/940] lr: 1.0000e-04 eta: 2:39:44 time: 0.6886 data_time: 0.0351 memory: 24011 grad_norm: 5.1834 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.4903 loss: 0.4903 2022/08/05 08:19:13 - mmengine - INFO - Epoch(train) [84][840/940] lr: 1.0000e-04 eta: 2:39:31 time: 0.5975 data_time: 0.0294 memory: 24011 grad_norm: 5.4553 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5644 loss: 0.5644 2022/08/05 08:19:26 - mmengine - INFO - Epoch(train) [84][860/940] lr: 1.0000e-04 eta: 2:39:18 time: 0.6307 data_time: 0.0567 memory: 24011 grad_norm: 5.4860 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5181 loss: 0.5181 2022/08/05 08:19:38 - mmengine - INFO - Epoch(train) [84][880/940] lr: 1.0000e-04 eta: 2:39:06 time: 0.6230 data_time: 0.0537 memory: 24011 grad_norm: 5.4025 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5701 loss: 0.5701 2022/08/05 08:19:50 - mmengine - INFO - Epoch(train) [84][900/940] lr: 1.0000e-04 eta: 2:38:53 time: 0.6032 data_time: 0.0317 memory: 24011 grad_norm: 5.2844 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5834 loss: 0.5834 2022/08/05 08:20:03 - mmengine - INFO - Epoch(train) [84][920/940] lr: 1.0000e-04 eta: 2:38:40 time: 0.6219 data_time: 0.0450 memory: 24011 grad_norm: 5.1158 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5686 loss: 0.5686 2022/08/05 08:20:14 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:20:14 - mmengine - INFO - Epoch(train) [84][940/940] lr: 1.0000e-04 eta: 2:38:27 time: 0.5633 data_time: 0.0272 memory: 24011 grad_norm: 5.4606 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.5343 loss: 0.5343 2022/08/05 08:20:14 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/05 08:20:34 - mmengine - INFO - Epoch(val) [84][20/78] eta: 0:00:39 time: 0.6863 data_time: 0.5360 memory: 3625 2022/08/05 08:20:43 - mmengine - INFO - Epoch(val) [84][40/78] eta: 0:00:16 time: 0.4384 data_time: 0.2901 memory: 3625 2022/08/05 08:20:55 - mmengine - INFO - Epoch(val) [84][60/78] eta: 0:00:11 time: 0.6115 data_time: 0.4520 memory: 3625 2022/08/05 08:21:04 - mmengine - INFO - Epoch(val) [84][78/78] acc/top1: 0.7406 acc/top5: 0.9073 acc/mean1: 0.7405 2022/08/05 08:21:21 - mmengine - INFO - Epoch(train) [85][20/940] lr: 1.0000e-04 eta: 2:38:15 time: 0.8604 data_time: 0.2931 memory: 24011 grad_norm: 5.5497 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5768 loss: 0.5768 2022/08/05 08:21:34 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:21:34 - mmengine - INFO - Epoch(train) [85][40/940] lr: 1.0000e-04 eta: 2:38:03 time: 0.6357 data_time: 0.0699 memory: 24011 grad_norm: 5.3103 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6128 loss: 0.6128 2022/08/05 08:21:47 - mmengine - INFO - Epoch(train) [85][60/940] lr: 1.0000e-04 eta: 2:37:50 time: 0.6607 data_time: 0.0339 memory: 24011 grad_norm: 5.1734 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.6064 loss: 0.6064 2022/08/05 08:21:59 - mmengine - INFO - Epoch(train) [85][80/940] lr: 1.0000e-04 eta: 2:37:38 time: 0.6114 data_time: 0.0317 memory: 24011 grad_norm: 5.4480 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5434 loss: 0.5434 2022/08/05 08:22:13 - mmengine - INFO - Epoch(train) [85][100/940] lr: 1.0000e-04 eta: 2:37:25 time: 0.6590 data_time: 0.0330 memory: 24011 grad_norm: 5.3605 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5286 loss: 0.5286 2022/08/05 08:22:25 - mmengine - INFO - Epoch(train) [85][120/940] lr: 1.0000e-04 eta: 2:37:12 time: 0.6309 data_time: 0.0364 memory: 24011 grad_norm: 5.3584 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5423 loss: 0.5423 2022/08/05 08:22:37 - mmengine - INFO - Epoch(train) [85][140/940] lr: 1.0000e-04 eta: 2:37:00 time: 0.6010 data_time: 0.0396 memory: 24011 grad_norm: 5.3295 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5292 loss: 0.5292 2022/08/05 08:22:50 - mmengine - INFO - Epoch(train) [85][160/940] lr: 1.0000e-04 eta: 2:36:47 time: 0.6405 data_time: 0.0334 memory: 24011 grad_norm: 5.3874 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5739 loss: 0.5739 2022/08/05 08:23:02 - mmengine - INFO - Epoch(train) [85][180/940] lr: 1.0000e-04 eta: 2:36:34 time: 0.6108 data_time: 0.0328 memory: 24011 grad_norm: 5.3819 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5300 loss: 0.5300 2022/08/05 08:23:14 - mmengine - INFO - Epoch(train) [85][200/940] lr: 1.0000e-04 eta: 2:36:21 time: 0.5953 data_time: 0.0350 memory: 24011 grad_norm: 5.1049 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6775 loss: 0.6775 2022/08/05 08:23:27 - mmengine - INFO - Epoch(train) [85][220/940] lr: 1.0000e-04 eta: 2:36:09 time: 0.6256 data_time: 0.0382 memory: 24011 grad_norm: 5.5986 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5661 loss: 0.5661 2022/08/05 08:23:39 - mmengine - INFO - Epoch(train) [85][240/940] lr: 1.0000e-04 eta: 2:35:56 time: 0.6341 data_time: 0.0380 memory: 24011 grad_norm: 5.6066 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5712 loss: 0.5712 2022/08/05 08:23:52 - mmengine - INFO - Epoch(train) [85][260/940] lr: 1.0000e-04 eta: 2:35:44 time: 0.6388 data_time: 0.0386 memory: 24011 grad_norm: 4.9339 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5270 loss: 0.5270 2022/08/05 08:24:04 - mmengine - INFO - Epoch(train) [85][280/940] lr: 1.0000e-04 eta: 2:35:31 time: 0.6069 data_time: 0.0388 memory: 24011 grad_norm: 5.3915 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.4936 loss: 0.4936 2022/08/05 08:24:17 - mmengine - INFO - Epoch(train) [85][300/940] lr: 1.0000e-04 eta: 2:35:18 time: 0.6468 data_time: 0.0323 memory: 24011 grad_norm: 5.6818 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5889 loss: 0.5889 2022/08/05 08:24:30 - mmengine - INFO - Epoch(train) [85][320/940] lr: 1.0000e-04 eta: 2:35:06 time: 0.6300 data_time: 0.0404 memory: 24011 grad_norm: 5.2503 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5634 loss: 0.5634 2022/08/05 08:24:43 - mmengine - INFO - Epoch(train) [85][340/940] lr: 1.0000e-04 eta: 2:34:53 time: 0.6460 data_time: 0.0393 memory: 24011 grad_norm: 5.0881 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5615 loss: 0.5615 2022/08/05 08:24:55 - mmengine - INFO - Epoch(train) [85][360/940] lr: 1.0000e-04 eta: 2:34:40 time: 0.6248 data_time: 0.0382 memory: 24011 grad_norm: 5.2291 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5929 loss: 0.5929 2022/08/05 08:25:07 - mmengine - INFO - Epoch(train) [85][380/940] lr: 1.0000e-04 eta: 2:34:27 time: 0.6003 data_time: 0.0353 memory: 24011 grad_norm: 5.1204 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5878 loss: 0.5878 2022/08/05 08:25:20 - mmengine - INFO - Epoch(train) [85][400/940] lr: 1.0000e-04 eta: 2:34:15 time: 0.6312 data_time: 0.0367 memory: 24011 grad_norm: 5.4968 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.4888 loss: 0.4888 2022/08/05 08:25:32 - mmengine - INFO - Epoch(train) [85][420/940] lr: 1.0000e-04 eta: 2:34:02 time: 0.6291 data_time: 0.0342 memory: 24011 grad_norm: 5.1493 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5778 loss: 0.5778 2022/08/05 08:25:44 - mmengine - INFO - Epoch(train) [85][440/940] lr: 1.0000e-04 eta: 2:33:49 time: 0.5890 data_time: 0.0419 memory: 24011 grad_norm: 5.3767 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5473 loss: 0.5473 2022/08/05 08:25:58 - mmengine - INFO - Epoch(train) [85][460/940] lr: 1.0000e-04 eta: 2:33:37 time: 0.6784 data_time: 0.0435 memory: 24011 grad_norm: 5.7044 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5870 loss: 0.5870 2022/08/05 08:26:09 - mmengine - INFO - Epoch(train) [85][480/940] lr: 1.0000e-04 eta: 2:33:24 time: 0.5828 data_time: 0.0347 memory: 24011 grad_norm: 5.2612 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5293 loss: 0.5293 2022/08/05 08:26:22 - mmengine - INFO - Epoch(train) [85][500/940] lr: 1.0000e-04 eta: 2:33:11 time: 0.6332 data_time: 0.0340 memory: 24011 grad_norm: 5.2920 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5839 loss: 0.5839 2022/08/05 08:26:34 - mmengine - INFO - Epoch(train) [85][520/940] lr: 1.0000e-04 eta: 2:32:59 time: 0.5877 data_time: 0.0396 memory: 24011 grad_norm: 4.9536 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5017 loss: 0.5017 2022/08/05 08:26:46 - mmengine - INFO - Epoch(train) [85][540/940] lr: 1.0000e-04 eta: 2:32:46 time: 0.6238 data_time: 0.0423 memory: 24011 grad_norm: 5.2464 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5379 loss: 0.5379 2022/08/05 08:26:58 - mmengine - INFO - Epoch(train) [85][560/940] lr: 1.0000e-04 eta: 2:32:33 time: 0.6019 data_time: 0.0377 memory: 24011 grad_norm: 5.7545 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5562 loss: 0.5562 2022/08/05 08:27:11 - mmengine - INFO - Epoch(train) [85][580/940] lr: 1.0000e-04 eta: 2:32:21 time: 0.6379 data_time: 0.0374 memory: 24011 grad_norm: 4.9764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5201 loss: 0.5201 2022/08/05 08:27:24 - mmengine - INFO - Epoch(train) [85][600/940] lr: 1.0000e-04 eta: 2:32:08 time: 0.6255 data_time: 0.0364 memory: 24011 grad_norm: 5.1549 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.4945 loss: 0.4945 2022/08/05 08:27:37 - mmengine - INFO - Epoch(train) [85][620/940] lr: 1.0000e-04 eta: 2:31:55 time: 0.6588 data_time: 0.0473 memory: 24011 grad_norm: 5.2696 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5143 loss: 0.5143 2022/08/05 08:27:49 - mmengine - INFO - Epoch(train) [85][640/940] lr: 1.0000e-04 eta: 2:31:43 time: 0.5888 data_time: 0.0318 memory: 24011 grad_norm: 5.1651 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5009 loss: 0.5009 2022/08/05 08:28:01 - mmengine - INFO - Epoch(train) [85][660/940] lr: 1.0000e-04 eta: 2:31:30 time: 0.5940 data_time: 0.0372 memory: 24011 grad_norm: 5.4881 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5412 loss: 0.5412 2022/08/05 08:28:13 - mmengine - INFO - Epoch(train) [85][680/940] lr: 1.0000e-04 eta: 2:31:17 time: 0.6233 data_time: 0.0397 memory: 24011 grad_norm: 5.8540 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5104 loss: 0.5104 2022/08/05 08:28:26 - mmengine - INFO - Epoch(train) [85][700/940] lr: 1.0000e-04 eta: 2:31:04 time: 0.6345 data_time: 0.0377 memory: 24011 grad_norm: 5.2519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5547 loss: 0.5547 2022/08/05 08:28:38 - mmengine - INFO - Epoch(train) [85][720/940] lr: 1.0000e-04 eta: 2:30:52 time: 0.6282 data_time: 0.0585 memory: 24011 grad_norm: 5.3650 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5613 loss: 0.5613 2022/08/05 08:28:51 - mmengine - INFO - Epoch(train) [85][740/940] lr: 1.0000e-04 eta: 2:30:39 time: 0.6352 data_time: 0.0426 memory: 24011 grad_norm: 5.4119 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.6167 loss: 0.6167 2022/08/05 08:29:03 - mmengine - INFO - Epoch(train) [85][760/940] lr: 1.0000e-04 eta: 2:30:26 time: 0.6064 data_time: 0.0326 memory: 24011 grad_norm: 5.1403 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.5228 loss: 0.5228 2022/08/05 08:29:16 - mmengine - INFO - Epoch(train) [85][780/940] lr: 1.0000e-04 eta: 2:30:14 time: 0.6158 data_time: 0.0381 memory: 24011 grad_norm: 6.6144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5276 loss: 0.5276 2022/08/05 08:29:28 - mmengine - INFO - Epoch(train) [85][800/940] lr: 1.0000e-04 eta: 2:30:01 time: 0.6315 data_time: 0.0376 memory: 24011 grad_norm: 5.2590 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5675 loss: 0.5675 2022/08/05 08:29:41 - mmengine - INFO - Epoch(train) [85][820/940] lr: 1.0000e-04 eta: 2:29:49 time: 0.6401 data_time: 0.0377 memory: 24011 grad_norm: 5.4513 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5631 loss: 0.5631 2022/08/05 08:29:53 - mmengine - INFO - Epoch(train) [85][840/940] lr: 1.0000e-04 eta: 2:29:36 time: 0.5975 data_time: 0.0359 memory: 24011 grad_norm: 5.0927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4817 loss: 0.4817 2022/08/05 08:30:07 - mmengine - INFO - Epoch(train) [85][860/940] lr: 1.0000e-04 eta: 2:29:23 time: 0.6805 data_time: 0.0298 memory: 24011 grad_norm: 5.1566 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5406 loss: 0.5406 2022/08/05 08:30:19 - mmengine - INFO - Epoch(train) [85][880/940] lr: 1.0000e-04 eta: 2:29:11 time: 0.6224 data_time: 0.0398 memory: 24011 grad_norm: 5.2406 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5974 loss: 0.5974 2022/08/05 08:30:31 - mmengine - INFO - Epoch(train) [85][900/940] lr: 1.0000e-04 eta: 2:28:58 time: 0.5982 data_time: 0.0411 memory: 24011 grad_norm: 5.4877 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5553 loss: 0.5553 2022/08/05 08:30:43 - mmengine - INFO - Epoch(train) [85][920/940] lr: 1.0000e-04 eta: 2:28:45 time: 0.6203 data_time: 0.0382 memory: 24011 grad_norm: 5.5113 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6251 loss: 0.6251 2022/08/05 08:30:55 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:30:55 - mmengine - INFO - Epoch(train) [85][940/940] lr: 1.0000e-04 eta: 2:28:32 time: 0.5774 data_time: 0.0242 memory: 24011 grad_norm: 5.5891 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.5919 loss: 0.5919 2022/08/05 08:31:08 - mmengine - INFO - Epoch(val) [85][20/78] eta: 0:00:37 time: 0.6549 data_time: 0.4995 memory: 3625 2022/08/05 08:31:17 - mmengine - INFO - Epoch(val) [85][40/78] eta: 0:00:17 time: 0.4475 data_time: 0.2938 memory: 3625 2022/08/05 08:31:30 - mmengine - INFO - Epoch(val) [85][60/78] eta: 0:00:11 time: 0.6284 data_time: 0.4762 memory: 3625 2022/08/05 08:31:40 - mmengine - INFO - Epoch(val) [85][78/78] acc/top1: 0.7393 acc/top5: 0.9077 acc/mean1: 0.7392 2022/08/05 08:31:58 - mmengine - INFO - Epoch(train) [86][20/940] lr: 1.0000e-04 eta: 2:28:21 time: 0.9257 data_time: 0.2420 memory: 24011 grad_norm: 5.2591 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.5647 loss: 0.5647 2022/08/05 08:32:11 - mmengine - INFO - Epoch(train) [86][40/940] lr: 1.0000e-04 eta: 2:28:08 time: 0.6315 data_time: 0.0351 memory: 24011 grad_norm: 5.1219 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5229 loss: 0.5229 2022/08/05 08:32:24 - mmengine - INFO - Epoch(train) [86][60/940] lr: 1.0000e-04 eta: 2:27:55 time: 0.6296 data_time: 0.0396 memory: 24011 grad_norm: 5.2581 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4551 loss: 0.4551 2022/08/05 08:32:36 - mmengine - INFO - Epoch(train) [86][80/940] lr: 1.0000e-04 eta: 2:27:43 time: 0.5978 data_time: 0.0276 memory: 24011 grad_norm: 5.1353 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5237 loss: 0.5237 2022/08/05 08:32:48 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:32:48 - mmengine - INFO - Epoch(train) [86][100/940] lr: 1.0000e-04 eta: 2:27:30 time: 0.6141 data_time: 0.0410 memory: 24011 grad_norm: 5.4906 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.4785 loss: 0.4785 2022/08/05 08:33:00 - mmengine - INFO - Epoch(train) [86][120/940] lr: 1.0000e-04 eta: 2:27:17 time: 0.5878 data_time: 0.0353 memory: 24011 grad_norm: 5.6765 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5376 loss: 0.5376 2022/08/05 08:33:13 - mmengine - INFO - Epoch(train) [86][140/940] lr: 1.0000e-04 eta: 2:27:05 time: 0.6765 data_time: 0.0500 memory: 24011 grad_norm: 5.3469 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5366 loss: 0.5366 2022/08/05 08:33:25 - mmengine - INFO - Epoch(train) [86][160/940] lr: 1.0000e-04 eta: 2:26:52 time: 0.6094 data_time: 0.0290 memory: 24011 grad_norm: 5.1508 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.5566 loss: 0.5566 2022/08/05 08:33:39 - mmengine - INFO - Epoch(train) [86][180/940] lr: 1.0000e-04 eta: 2:26:39 time: 0.6738 data_time: 0.0826 memory: 24011 grad_norm: 5.1965 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4630 loss: 0.4630 2022/08/05 08:33:51 - mmengine - INFO - Epoch(train) [86][200/940] lr: 1.0000e-04 eta: 2:26:27 time: 0.5907 data_time: 0.0311 memory: 24011 grad_norm: 5.2813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5670 loss: 0.5670 2022/08/05 08:34:03 - mmengine - INFO - Epoch(train) [86][220/940] lr: 1.0000e-04 eta: 2:26:14 time: 0.6197 data_time: 0.0330 memory: 24011 grad_norm: 6.0418 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5681 loss: 0.5681 2022/08/05 08:34:15 - mmengine - INFO - Epoch(train) [86][240/940] lr: 1.0000e-04 eta: 2:26:01 time: 0.5854 data_time: 0.0293 memory: 24011 grad_norm: 5.2843 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.4900 loss: 0.4900 2022/08/05 08:34:27 - mmengine - INFO - Epoch(train) [86][260/940] lr: 1.0000e-04 eta: 2:25:48 time: 0.6298 data_time: 0.0549 memory: 24011 grad_norm: 5.2858 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6263 loss: 0.6263 2022/08/05 08:34:40 - mmengine - INFO - Epoch(train) [86][280/940] lr: 1.0000e-04 eta: 2:25:36 time: 0.6313 data_time: 0.0338 memory: 24011 grad_norm: 5.5336 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5559 loss: 0.5559 2022/08/05 08:34:52 - mmengine - INFO - Epoch(train) [86][300/940] lr: 1.0000e-04 eta: 2:25:23 time: 0.6207 data_time: 0.0329 memory: 24011 grad_norm: 5.3100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4743 loss: 0.4743 2022/08/05 08:35:05 - mmengine - INFO - Epoch(train) [86][320/940] lr: 1.0000e-04 eta: 2:25:11 time: 0.6350 data_time: 0.0349 memory: 24011 grad_norm: 5.4308 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5200 loss: 0.5200 2022/08/05 08:35:17 - mmengine - INFO - Epoch(train) [86][340/940] lr: 1.0000e-04 eta: 2:24:58 time: 0.6032 data_time: 0.0384 memory: 24011 grad_norm: 5.1718 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5280 loss: 0.5280 2022/08/05 08:35:29 - mmengine - INFO - Epoch(train) [86][360/940] lr: 1.0000e-04 eta: 2:24:45 time: 0.6008 data_time: 0.0362 memory: 24011 grad_norm: 5.0842 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.4802 loss: 0.4802 2022/08/05 08:35:42 - mmengine - INFO - Epoch(train) [86][380/940] lr: 1.0000e-04 eta: 2:24:32 time: 0.6468 data_time: 0.0366 memory: 24011 grad_norm: 5.3779 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5444 loss: 0.5444 2022/08/05 08:35:54 - mmengine - INFO - Epoch(train) [86][400/940] lr: 1.0000e-04 eta: 2:24:20 time: 0.6082 data_time: 0.0381 memory: 24011 grad_norm: 5.6655 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5797 loss: 0.5797 2022/08/05 08:36:07 - mmengine - INFO - Epoch(train) [86][420/940] lr: 1.0000e-04 eta: 2:24:07 time: 0.6138 data_time: 0.0382 memory: 24011 grad_norm: 5.2658 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5564 loss: 0.5564 2022/08/05 08:36:19 - mmengine - INFO - Epoch(train) [86][440/940] lr: 1.0000e-04 eta: 2:23:54 time: 0.6001 data_time: 0.0506 memory: 24011 grad_norm: 5.6232 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5874 loss: 0.5874 2022/08/05 08:36:32 - mmengine - INFO - Epoch(train) [86][460/940] lr: 1.0000e-04 eta: 2:23:42 time: 0.6431 data_time: 0.0330 memory: 24011 grad_norm: 5.1460 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5604 loss: 0.5604 2022/08/05 08:36:44 - mmengine - INFO - Epoch(train) [86][480/940] lr: 1.0000e-04 eta: 2:23:29 time: 0.6360 data_time: 0.0333 memory: 24011 grad_norm: 5.2221 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5603 loss: 0.5603 2022/08/05 08:36:57 - mmengine - INFO - Epoch(train) [86][500/940] lr: 1.0000e-04 eta: 2:23:16 time: 0.6460 data_time: 0.0359 memory: 24011 grad_norm: 5.2540 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5051 loss: 0.5051 2022/08/05 08:37:10 - mmengine - INFO - Epoch(train) [86][520/940] lr: 1.0000e-04 eta: 2:23:04 time: 0.6194 data_time: 0.0321 memory: 24011 grad_norm: 5.5862 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5678 loss: 0.5678 2022/08/05 08:37:21 - mmengine - INFO - Epoch(train) [86][540/940] lr: 1.0000e-04 eta: 2:22:51 time: 0.5916 data_time: 0.0328 memory: 24011 grad_norm: 5.1279 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.5536 loss: 0.5536 2022/08/05 08:37:34 - mmengine - INFO - Epoch(train) [86][560/940] lr: 1.0000e-04 eta: 2:22:38 time: 0.6462 data_time: 0.0357 memory: 24011 grad_norm: 5.1807 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5661 loss: 0.5661 2022/08/05 08:37:47 - mmengine - INFO - Epoch(train) [86][580/940] lr: 1.0000e-04 eta: 2:22:26 time: 0.6426 data_time: 0.0352 memory: 24011 grad_norm: 5.1731 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5139 loss: 0.5139 2022/08/05 08:38:00 - mmengine - INFO - Epoch(train) [86][600/940] lr: 1.0000e-04 eta: 2:22:13 time: 0.6158 data_time: 0.0421 memory: 24011 grad_norm: 5.2912 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5644 loss: 0.5644 2022/08/05 08:38:12 - mmengine - INFO - Epoch(train) [86][620/940] lr: 1.0000e-04 eta: 2:22:00 time: 0.6260 data_time: 0.0403 memory: 24011 grad_norm: 5.4434 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.4837 loss: 0.4837 2022/08/05 08:38:24 - mmengine - INFO - Epoch(train) [86][640/940] lr: 1.0000e-04 eta: 2:21:48 time: 0.5954 data_time: 0.0337 memory: 24011 grad_norm: 5.1712 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5490 loss: 0.5490 2022/08/05 08:38:36 - mmengine - INFO - Epoch(train) [86][660/940] lr: 1.0000e-04 eta: 2:21:35 time: 0.6115 data_time: 0.0384 memory: 24011 grad_norm: 5.2292 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5248 loss: 0.5248 2022/08/05 08:38:49 - mmengine - INFO - Epoch(train) [86][680/940] lr: 1.0000e-04 eta: 2:21:22 time: 0.6294 data_time: 0.0390 memory: 24011 grad_norm: 5.2066 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5377 loss: 0.5377 2022/08/05 08:39:02 - mmengine - INFO - Epoch(train) [86][700/940] lr: 1.0000e-04 eta: 2:21:10 time: 0.6423 data_time: 0.0498 memory: 24011 grad_norm: 5.7463 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.4963 loss: 0.4963 2022/08/05 08:39:14 - mmengine - INFO - Epoch(train) [86][720/940] lr: 1.0000e-04 eta: 2:20:57 time: 0.6263 data_time: 0.0419 memory: 24011 grad_norm: 5.1825 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5197 loss: 0.5197 2022/08/05 08:39:26 - mmengine - INFO - Epoch(train) [86][740/940] lr: 1.0000e-04 eta: 2:20:44 time: 0.6048 data_time: 0.0358 memory: 24011 grad_norm: 5.6573 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5054 loss: 0.5054 2022/08/05 08:39:39 - mmengine - INFO - Epoch(train) [86][760/940] lr: 1.0000e-04 eta: 2:20:32 time: 0.6474 data_time: 0.0391 memory: 24011 grad_norm: 6.0450 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5361 loss: 0.5361 2022/08/05 08:39:51 - mmengine - INFO - Epoch(train) [86][780/940] lr: 1.0000e-04 eta: 2:20:19 time: 0.5982 data_time: 0.0409 memory: 24011 grad_norm: 5.9281 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6523 loss: 0.6523 2022/08/05 08:40:03 - mmengine - INFO - Epoch(train) [86][800/940] lr: 1.0000e-04 eta: 2:20:06 time: 0.6088 data_time: 0.0340 memory: 24011 grad_norm: 5.3673 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6273 loss: 0.6273 2022/08/05 08:40:16 - mmengine - INFO - Epoch(train) [86][820/940] lr: 1.0000e-04 eta: 2:19:54 time: 0.6194 data_time: 0.0399 memory: 24011 grad_norm: 5.3912 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5285 loss: 0.5285 2022/08/05 08:40:29 - mmengine - INFO - Epoch(train) [86][840/940] lr: 1.0000e-04 eta: 2:19:41 time: 0.6736 data_time: 0.0432 memory: 24011 grad_norm: 5.2002 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6081 loss: 0.6081 2022/08/05 08:40:42 - mmengine - INFO - Epoch(train) [86][860/940] lr: 1.0000e-04 eta: 2:19:28 time: 0.6244 data_time: 0.0418 memory: 24011 grad_norm: 5.1252 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6134 loss: 0.6134 2022/08/05 08:40:54 - mmengine - INFO - Epoch(train) [86][880/940] lr: 1.0000e-04 eta: 2:19:16 time: 0.6179 data_time: 0.0480 memory: 24011 grad_norm: 5.6710 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5246 loss: 0.5246 2022/08/05 08:41:06 - mmengine - INFO - Epoch(train) [86][900/940] lr: 1.0000e-04 eta: 2:19:03 time: 0.5953 data_time: 0.0398 memory: 24011 grad_norm: 5.1267 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4855 loss: 0.4855 2022/08/05 08:41:18 - mmengine - INFO - Epoch(train) [86][920/940] lr: 1.0000e-04 eta: 2:18:50 time: 0.6078 data_time: 0.0418 memory: 24011 grad_norm: 5.3508 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5594 loss: 0.5594 2022/08/05 08:41:29 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:41:29 - mmengine - INFO - Epoch(train) [86][940/940] lr: 1.0000e-04 eta: 2:18:37 time: 0.5553 data_time: 0.0302 memory: 24011 grad_norm: 5.7410 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4679 loss: 0.4679 2022/08/05 08:41:43 - mmengine - INFO - Epoch(val) [86][20/78] eta: 0:00:39 time: 0.6755 data_time: 0.5191 memory: 3625 2022/08/05 08:41:52 - mmengine - INFO - Epoch(val) [86][40/78] eta: 0:00:16 time: 0.4308 data_time: 0.2777 memory: 3625 2022/08/05 08:42:04 - mmengine - INFO - Epoch(val) [86][60/78] eta: 0:00:10 time: 0.6076 data_time: 0.4531 memory: 3625 2022/08/05 08:42:14 - mmengine - INFO - Epoch(val) [86][78/78] acc/top1: 0.7403 acc/top5: 0.9071 acc/mean1: 0.7401 2022/08/05 08:42:32 - mmengine - INFO - Epoch(train) [87][20/940] lr: 1.0000e-04 eta: 2:18:26 time: 0.8940 data_time: 0.2513 memory: 24011 grad_norm: 5.3132 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5425 loss: 0.5425 2022/08/05 08:42:44 - mmengine - INFO - Epoch(train) [87][40/940] lr: 1.0000e-04 eta: 2:18:13 time: 0.5824 data_time: 0.0288 memory: 24011 grad_norm: 5.6237 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5961 loss: 0.5961 2022/08/05 08:42:57 - mmengine - INFO - Epoch(train) [87][60/940] lr: 1.0000e-04 eta: 2:18:00 time: 0.6376 data_time: 0.0340 memory: 24011 grad_norm: 5.3519 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5356 loss: 0.5356 2022/08/05 08:43:09 - mmengine - INFO - Epoch(train) [87][80/940] lr: 1.0000e-04 eta: 2:17:47 time: 0.6349 data_time: 0.0296 memory: 24011 grad_norm: 5.4218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5460 loss: 0.5460 2022/08/05 08:43:22 - mmengine - INFO - Epoch(train) [87][100/940] lr: 1.0000e-04 eta: 2:17:35 time: 0.6483 data_time: 0.0352 memory: 24011 grad_norm: 5.7438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6191 loss: 0.6191 2022/08/05 08:43:35 - mmengine - INFO - Epoch(train) [87][120/940] lr: 1.0000e-04 eta: 2:17:22 time: 0.6293 data_time: 0.0277 memory: 24011 grad_norm: 5.4353 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5139 loss: 0.5139 2022/08/05 08:43:49 - mmengine - INFO - Epoch(train) [87][140/940] lr: 1.0000e-04 eta: 2:17:10 time: 0.6839 data_time: 0.0316 memory: 24011 grad_norm: 5.2419 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5344 loss: 0.5344 2022/08/05 08:44:01 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:44:01 - mmengine - INFO - Epoch(train) [87][160/940] lr: 1.0000e-04 eta: 2:16:57 time: 0.5924 data_time: 0.0462 memory: 24011 grad_norm: 5.8675 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5726 loss: 0.5726 2022/08/05 08:44:13 - mmengine - INFO - Epoch(train) [87][180/940] lr: 1.0000e-04 eta: 2:16:44 time: 0.6133 data_time: 0.0320 memory: 24011 grad_norm: 5.6128 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.4975 loss: 0.4975 2022/08/05 08:44:25 - mmengine - INFO - Epoch(train) [87][200/940] lr: 1.0000e-04 eta: 2:16:31 time: 0.5963 data_time: 0.0448 memory: 24011 grad_norm: 5.5521 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4790 loss: 0.4790 2022/08/05 08:44:38 - mmengine - INFO - Epoch(train) [87][220/940] lr: 1.0000e-04 eta: 2:16:19 time: 0.6533 data_time: 0.0346 memory: 24011 grad_norm: 5.6362 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6337 loss: 0.6337 2022/08/05 08:44:50 - mmengine - INFO - Epoch(train) [87][240/940] lr: 1.0000e-04 eta: 2:16:06 time: 0.6130 data_time: 0.0414 memory: 24011 grad_norm: 5.0450 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5683 loss: 0.5683 2022/08/05 08:45:03 - mmengine - INFO - Epoch(train) [87][260/940] lr: 1.0000e-04 eta: 2:15:54 time: 0.6567 data_time: 0.0343 memory: 24011 grad_norm: 5.4008 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5099 loss: 0.5099 2022/08/05 08:45:15 - mmengine - INFO - Epoch(train) [87][280/940] lr: 1.0000e-04 eta: 2:15:41 time: 0.5828 data_time: 0.0335 memory: 24011 grad_norm: 5.3596 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.5685 loss: 0.5685 2022/08/05 08:45:27 - mmengine - INFO - Epoch(train) [87][300/940] lr: 1.0000e-04 eta: 2:15:28 time: 0.6251 data_time: 0.0369 memory: 24011 grad_norm: 5.7717 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5473 loss: 0.5473 2022/08/05 08:45:40 - mmengine - INFO - Epoch(train) [87][320/940] lr: 1.0000e-04 eta: 2:15:16 time: 0.6450 data_time: 0.0380 memory: 24011 grad_norm: 5.8127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4759 loss: 0.4759 2022/08/05 08:45:52 - mmengine - INFO - Epoch(train) [87][340/940] lr: 1.0000e-04 eta: 2:15:03 time: 0.6024 data_time: 0.0303 memory: 24011 grad_norm: 5.4044 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5656 loss: 0.5656 2022/08/05 08:46:04 - mmengine - INFO - Epoch(train) [87][360/940] lr: 1.0000e-04 eta: 2:14:50 time: 0.5974 data_time: 0.0337 memory: 24011 grad_norm: 5.2778 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4671 loss: 0.4671 2022/08/05 08:46:17 - mmengine - INFO - Epoch(train) [87][380/940] lr: 1.0000e-04 eta: 2:14:37 time: 0.6377 data_time: 0.0319 memory: 24011 grad_norm: 7.7178 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5187 loss: 0.5187 2022/08/05 08:46:29 - mmengine - INFO - Epoch(train) [87][400/940] lr: 1.0000e-04 eta: 2:14:25 time: 0.5976 data_time: 0.0356 memory: 24011 grad_norm: 5.3356 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5592 loss: 0.5592 2022/08/05 08:46:41 - mmengine - INFO - Epoch(train) [87][420/940] lr: 1.0000e-04 eta: 2:14:12 time: 0.6083 data_time: 0.0289 memory: 24011 grad_norm: 5.6613 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4954 loss: 0.4954 2022/08/05 08:46:54 - mmengine - INFO - Epoch(train) [87][440/940] lr: 1.0000e-04 eta: 2:13:59 time: 0.6206 data_time: 0.0352 memory: 24011 grad_norm: 6.5002 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.5712 loss: 0.5712 2022/08/05 08:47:06 - mmengine - INFO - Epoch(train) [87][460/940] lr: 1.0000e-04 eta: 2:13:47 time: 0.6271 data_time: 0.0275 memory: 24011 grad_norm: 5.5505 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5572 loss: 0.5572 2022/08/05 08:47:18 - mmengine - INFO - Epoch(train) [87][480/940] lr: 1.0000e-04 eta: 2:13:34 time: 0.6020 data_time: 0.0340 memory: 24011 grad_norm: 5.4175 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5567 loss: 0.5567 2022/08/05 08:47:31 - mmengine - INFO - Epoch(train) [87][500/940] lr: 1.0000e-04 eta: 2:13:21 time: 0.6419 data_time: 0.0346 memory: 24011 grad_norm: 5.2120 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5207 loss: 0.5207 2022/08/05 08:47:44 - mmengine - INFO - Epoch(train) [87][520/940] lr: 1.0000e-04 eta: 2:13:09 time: 0.6204 data_time: 0.0344 memory: 24011 grad_norm: 5.1533 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5378 loss: 0.5378 2022/08/05 08:47:56 - mmengine - INFO - Epoch(train) [87][540/940] lr: 1.0000e-04 eta: 2:12:56 time: 0.6233 data_time: 0.0511 memory: 24011 grad_norm: 5.4950 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6331 loss: 0.6331 2022/08/05 08:48:08 - mmengine - INFO - Epoch(train) [87][560/940] lr: 1.0000e-04 eta: 2:12:43 time: 0.6018 data_time: 0.0329 memory: 24011 grad_norm: 5.5872 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6348 loss: 0.6348 2022/08/05 08:48:21 - mmengine - INFO - Epoch(train) [87][580/940] lr: 1.0000e-04 eta: 2:12:31 time: 0.6346 data_time: 0.0338 memory: 24011 grad_norm: 5.3808 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.6585 loss: 0.6585 2022/08/05 08:48:34 - mmengine - INFO - Epoch(train) [87][600/940] lr: 1.0000e-04 eta: 2:12:18 time: 0.6401 data_time: 0.0591 memory: 24011 grad_norm: 5.1548 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5434 loss: 0.5434 2022/08/05 08:48:46 - mmengine - INFO - Epoch(train) [87][620/940] lr: 1.0000e-04 eta: 2:12:05 time: 0.6341 data_time: 0.0579 memory: 24011 grad_norm: 5.2181 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5841 loss: 0.5841 2022/08/05 08:48:59 - mmengine - INFO - Epoch(train) [87][640/940] lr: 1.0000e-04 eta: 2:11:53 time: 0.6253 data_time: 0.0604 memory: 24011 grad_norm: 5.0992 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5968 loss: 0.5968 2022/08/05 08:49:11 - mmengine - INFO - Epoch(train) [87][660/940] lr: 1.0000e-04 eta: 2:11:40 time: 0.6200 data_time: 0.0548 memory: 24011 grad_norm: 5.0939 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4861 loss: 0.4861 2022/08/05 08:49:24 - mmengine - INFO - Epoch(train) [87][680/940] lr: 1.0000e-04 eta: 2:11:27 time: 0.6200 data_time: 0.0638 memory: 24011 grad_norm: 4.9420 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5563 loss: 0.5563 2022/08/05 08:49:36 - mmengine - INFO - Epoch(train) [87][700/940] lr: 1.0000e-04 eta: 2:11:15 time: 0.6155 data_time: 0.0480 memory: 24011 grad_norm: 5.1264 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.4793 loss: 0.4793 2022/08/05 08:49:48 - mmengine - INFO - Epoch(train) [87][720/940] lr: 1.0000e-04 eta: 2:11:02 time: 0.6274 data_time: 0.0740 memory: 24011 grad_norm: 5.6463 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5961 loss: 0.5961 2022/08/05 08:50:01 - mmengine - INFO - Epoch(train) [87][740/940] lr: 1.0000e-04 eta: 2:10:49 time: 0.6078 data_time: 0.0464 memory: 24011 grad_norm: 5.3124 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.4167 loss: 0.4167 2022/08/05 08:50:13 - mmengine - INFO - Epoch(train) [87][760/940] lr: 1.0000e-04 eta: 2:10:37 time: 0.6196 data_time: 0.0743 memory: 24011 grad_norm: 5.1468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5403 loss: 0.5403 2022/08/05 08:50:26 - mmengine - INFO - Epoch(train) [87][780/940] lr: 1.0000e-04 eta: 2:10:24 time: 0.6472 data_time: 0.0681 memory: 24011 grad_norm: 5.3533 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5279 loss: 0.5279 2022/08/05 08:50:39 - mmengine - INFO - Epoch(train) [87][800/940] lr: 1.0000e-04 eta: 2:10:11 time: 0.6284 data_time: 0.0788 memory: 24011 grad_norm: 5.2762 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5282 loss: 0.5282 2022/08/05 08:50:51 - mmengine - INFO - Epoch(train) [87][820/940] lr: 1.0000e-04 eta: 2:09:59 time: 0.6375 data_time: 0.0834 memory: 24011 grad_norm: 5.2231 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5352 loss: 0.5352 2022/08/05 08:51:04 - mmengine - INFO - Epoch(train) [87][840/940] lr: 1.0000e-04 eta: 2:09:46 time: 0.6342 data_time: 0.0782 memory: 24011 grad_norm: 5.1432 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5445 loss: 0.5445 2022/08/05 08:51:16 - mmengine - INFO - Epoch(train) [87][860/940] lr: 1.0000e-04 eta: 2:09:33 time: 0.6154 data_time: 0.0554 memory: 24011 grad_norm: 5.8918 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5185 loss: 0.5185 2022/08/05 08:51:29 - mmengine - INFO - Epoch(train) [87][880/940] lr: 1.0000e-04 eta: 2:09:21 time: 0.6207 data_time: 0.0563 memory: 24011 grad_norm: 5.4663 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6210 loss: 0.6210 2022/08/05 08:51:41 - mmengine - INFO - Epoch(train) [87][900/940] lr: 1.0000e-04 eta: 2:09:08 time: 0.6057 data_time: 0.0339 memory: 24011 grad_norm: 5.3223 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.4698 loss: 0.4698 2022/08/05 08:51:53 - mmengine - INFO - Epoch(train) [87][920/940] lr: 1.0000e-04 eta: 2:08:55 time: 0.5952 data_time: 0.0323 memory: 24011 grad_norm: 5.5250 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5139 loss: 0.5139 2022/08/05 08:52:04 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:52:04 - mmengine - INFO - Epoch(train) [87][940/940] lr: 1.0000e-04 eta: 2:08:42 time: 0.5736 data_time: 0.0215 memory: 24011 grad_norm: 7.6603 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7255 loss: 0.7255 2022/08/05 08:52:04 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/08/05 08:52:23 - mmengine - INFO - Epoch(val) [87][20/78] eta: 0:00:39 time: 0.6845 data_time: 0.5319 memory: 3625 2022/08/05 08:52:32 - mmengine - INFO - Epoch(val) [87][40/78] eta: 0:00:16 time: 0.4375 data_time: 0.2849 memory: 3625 2022/08/05 08:52:44 - mmengine - INFO - Epoch(val) [87][60/78] eta: 0:00:11 time: 0.6274 data_time: 0.4749 memory: 3625 2022/08/05 08:52:53 - mmengine - INFO - Epoch(val) [87][78/78] acc/top1: 0.7399 acc/top5: 0.9081 acc/mean1: 0.7398 2022/08/05 08:53:11 - mmengine - INFO - Epoch(train) [88][20/940] lr: 1.0000e-04 eta: 2:08:31 time: 0.8998 data_time: 0.2741 memory: 24011 grad_norm: 5.0384 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5121 loss: 0.5121 2022/08/05 08:53:23 - mmengine - INFO - Epoch(train) [88][40/940] lr: 1.0000e-04 eta: 2:08:18 time: 0.5968 data_time: 0.0300 memory: 24011 grad_norm: 5.2146 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5238 loss: 0.5238 2022/08/05 08:53:36 - mmengine - INFO - Epoch(train) [88][60/940] lr: 1.0000e-04 eta: 2:08:05 time: 0.6508 data_time: 0.0658 memory: 24011 grad_norm: 5.2813 top1_acc: 0.7188 top5_acc: 0.8750 loss_cls: 0.6088 loss: 0.6088 2022/08/05 08:53:48 - mmengine - INFO - Epoch(train) [88][80/940] lr: 1.0000e-04 eta: 2:07:53 time: 0.5966 data_time: 0.0294 memory: 24011 grad_norm: 5.2914 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.4428 loss: 0.4428 2022/08/05 08:54:02 - mmengine - INFO - Epoch(train) [88][100/940] lr: 1.0000e-04 eta: 2:07:40 time: 0.6633 data_time: 0.0332 memory: 24011 grad_norm: 5.1167 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5733 loss: 0.5733 2022/08/05 08:54:13 - mmengine - INFO - Epoch(train) [88][120/940] lr: 1.0000e-04 eta: 2:07:27 time: 0.5835 data_time: 0.0274 memory: 24011 grad_norm: 5.2657 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4600 loss: 0.4600 2022/08/05 08:54:27 - mmengine - INFO - Epoch(train) [88][140/940] lr: 1.0000e-04 eta: 2:07:15 time: 0.6740 data_time: 0.0368 memory: 24011 grad_norm: 4.9228 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5334 loss: 0.5334 2022/08/05 08:54:40 - mmengine - INFO - Epoch(train) [88][160/940] lr: 1.0000e-04 eta: 2:07:02 time: 0.6559 data_time: 0.0395 memory: 24011 grad_norm: 5.7355 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4326 loss: 0.4326 2022/08/05 08:54:53 - mmengine - INFO - Epoch(train) [88][180/940] lr: 1.0000e-04 eta: 2:06:49 time: 0.6375 data_time: 0.0381 memory: 24011 grad_norm: 5.2003 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.4924 loss: 0.4924 2022/08/05 08:55:05 - mmengine - INFO - Epoch(train) [88][200/940] lr: 1.0000e-04 eta: 2:06:37 time: 0.5994 data_time: 0.0384 memory: 24011 grad_norm: 5.2053 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5143 loss: 0.5143 2022/08/05 08:55:17 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 08:55:17 - mmengine - INFO - Epoch(train) [88][220/940] lr: 1.0000e-04 eta: 2:06:24 time: 0.6154 data_time: 0.0353 memory: 24011 grad_norm: 5.1771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5795 loss: 0.5795 2022/08/05 08:55:29 - mmengine - INFO - Epoch(train) [88][240/940] lr: 1.0000e-04 eta: 2:06:11 time: 0.6087 data_time: 0.0366 memory: 24011 grad_norm: 5.4263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5560 loss: 0.5560 2022/08/05 08:55:41 - mmengine - INFO - Epoch(train) [88][260/940] lr: 1.0000e-04 eta: 2:05:59 time: 0.6092 data_time: 0.0371 memory: 24011 grad_norm: 5.1491 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5356 loss: 0.5356 2022/08/05 08:55:54 - mmengine - INFO - Epoch(train) [88][280/940] lr: 1.0000e-04 eta: 2:05:46 time: 0.6151 data_time: 0.0355 memory: 24011 grad_norm: 5.1040 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5250 loss: 0.5250 2022/08/05 08:56:06 - mmengine - INFO - Epoch(train) [88][300/940] lr: 1.0000e-04 eta: 2:05:33 time: 0.6255 data_time: 0.0411 memory: 24011 grad_norm: 5.1403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5550 loss: 0.5550 2022/08/05 08:56:19 - mmengine - INFO - Epoch(train) [88][320/940] lr: 1.0000e-04 eta: 2:05:21 time: 0.6247 data_time: 0.0365 memory: 24011 grad_norm: 4.9697 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4898 loss: 0.4898 2022/08/05 08:56:31 - mmengine - INFO - Epoch(train) [88][340/940] lr: 1.0000e-04 eta: 2:05:08 time: 0.6091 data_time: 0.0364 memory: 24011 grad_norm: 5.1764 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5752 loss: 0.5752 2022/08/05 08:56:43 - mmengine - INFO - Epoch(train) [88][360/940] lr: 1.0000e-04 eta: 2:04:55 time: 0.6242 data_time: 0.0352 memory: 24011 grad_norm: 5.2045 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.5169 loss: 0.5169 2022/08/05 08:56:56 - mmengine - INFO - Epoch(train) [88][380/940] lr: 1.0000e-04 eta: 2:04:43 time: 0.6335 data_time: 0.0385 memory: 24011 grad_norm: 5.4524 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6787 loss: 0.6787 2022/08/05 08:57:08 - mmengine - INFO - Epoch(train) [88][400/940] lr: 1.0000e-04 eta: 2:04:30 time: 0.5859 data_time: 0.0331 memory: 24011 grad_norm: 5.6594 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5655 loss: 0.5655 2022/08/05 08:57:21 - mmengine - INFO - Epoch(train) [88][420/940] lr: 1.0000e-04 eta: 2:04:17 time: 0.6670 data_time: 0.0808 memory: 24011 grad_norm: 4.9538 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5218 loss: 0.5218 2022/08/05 08:57:33 - mmengine - INFO - Epoch(train) [88][440/940] lr: 1.0000e-04 eta: 2:04:05 time: 0.6068 data_time: 0.0277 memory: 24011 grad_norm: 5.1884 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5596 loss: 0.5596 2022/08/05 08:57:45 - mmengine - INFO - Epoch(train) [88][460/940] lr: 1.0000e-04 eta: 2:03:52 time: 0.6085 data_time: 0.0349 memory: 24011 grad_norm: 5.2670 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4685 loss: 0.4685 2022/08/05 08:57:58 - mmengine - INFO - Epoch(train) [88][480/940] lr: 1.0000e-04 eta: 2:03:39 time: 0.6528 data_time: 0.0327 memory: 24011 grad_norm: 5.1264 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5129 loss: 0.5129 2022/08/05 08:58:11 - mmengine - INFO - Epoch(train) [88][500/940] lr: 1.0000e-04 eta: 2:03:27 time: 0.6502 data_time: 0.0322 memory: 24011 grad_norm: 5.4269 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6005 loss: 0.6005 2022/08/05 08:58:24 - mmengine - INFO - Epoch(train) [88][520/940] lr: 1.0000e-04 eta: 2:03:14 time: 0.6138 data_time: 0.0285 memory: 24011 grad_norm: 5.1886 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.4734 loss: 0.4734 2022/08/05 08:58:36 - mmengine - INFO - Epoch(train) [88][540/940] lr: 1.0000e-04 eta: 2:03:01 time: 0.6308 data_time: 0.0348 memory: 24011 grad_norm: 5.7098 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5462 loss: 0.5462 2022/08/05 08:58:49 - mmengine - INFO - Epoch(train) [88][560/940] lr: 1.0000e-04 eta: 2:02:49 time: 0.6152 data_time: 0.0317 memory: 24011 grad_norm: 5.0074 top1_acc: 0.7188 top5_acc: 0.8125 loss_cls: 0.5883 loss: 0.5883 2022/08/05 08:59:01 - mmengine - INFO - Epoch(train) [88][580/940] lr: 1.0000e-04 eta: 2:02:36 time: 0.6167 data_time: 0.0308 memory: 24011 grad_norm: 5.5051 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5063 loss: 0.5063 2022/08/05 08:59:14 - mmengine - INFO - Epoch(train) [88][600/940] lr: 1.0000e-04 eta: 2:02:23 time: 0.6384 data_time: 0.0383 memory: 24011 grad_norm: 5.0540 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4714 loss: 0.4714 2022/08/05 08:59:26 - mmengine - INFO - Epoch(train) [88][620/940] lr: 1.0000e-04 eta: 2:02:11 time: 0.6203 data_time: 0.0330 memory: 24011 grad_norm: 5.1904 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5292 loss: 0.5292 2022/08/05 08:59:39 - mmengine - INFO - Epoch(train) [88][640/940] lr: 1.0000e-04 eta: 2:01:58 time: 0.6309 data_time: 0.0309 memory: 24011 grad_norm: 5.7312 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5186 loss: 0.5186 2022/08/05 08:59:51 - mmengine - INFO - Epoch(train) [88][660/940] lr: 1.0000e-04 eta: 2:01:45 time: 0.6035 data_time: 0.0329 memory: 24011 grad_norm: 5.8262 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5740 loss: 0.5740 2022/08/05 09:00:04 - mmengine - INFO - Epoch(train) [88][680/940] lr: 1.0000e-04 eta: 2:01:33 time: 0.6547 data_time: 0.0376 memory: 24011 grad_norm: 5.3282 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5500 loss: 0.5500 2022/08/05 09:00:16 - mmengine - INFO - Epoch(train) [88][700/940] lr: 1.0000e-04 eta: 2:01:20 time: 0.6038 data_time: 0.0326 memory: 24011 grad_norm: 5.5299 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5577 loss: 0.5577 2022/08/05 09:00:29 - mmengine - INFO - Epoch(train) [88][720/940] lr: 1.0000e-04 eta: 2:01:07 time: 0.6255 data_time: 0.0371 memory: 24011 grad_norm: 5.9638 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5298 loss: 0.5298 2022/08/05 09:00:41 - mmengine - INFO - Epoch(train) [88][740/940] lr: 1.0000e-04 eta: 2:00:55 time: 0.6150 data_time: 0.0347 memory: 24011 grad_norm: 5.2708 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6566 loss: 0.6566 2022/08/05 09:00:53 - mmengine - INFO - Epoch(train) [88][760/940] lr: 1.0000e-04 eta: 2:00:42 time: 0.6299 data_time: 0.0415 memory: 24011 grad_norm: 5.4157 top1_acc: 0.7812 top5_acc: 1.0000 loss_cls: 0.5429 loss: 0.5429 2022/08/05 09:01:06 - mmengine - INFO - Epoch(train) [88][780/940] lr: 1.0000e-04 eta: 2:00:29 time: 0.6353 data_time: 0.0557 memory: 24011 grad_norm: 5.8190 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5607 loss: 0.5607 2022/08/05 09:01:18 - mmengine - INFO - Epoch(train) [88][800/940] lr: 1.0000e-04 eta: 2:00:17 time: 0.6097 data_time: 0.0374 memory: 24011 grad_norm: 6.6168 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5468 loss: 0.5468 2022/08/05 09:01:31 - mmengine - INFO - Epoch(train) [88][820/940] lr: 1.0000e-04 eta: 2:00:04 time: 0.6184 data_time: 0.0379 memory: 24011 grad_norm: 5.4219 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5454 loss: 0.5454 2022/08/05 09:01:43 - mmengine - INFO - Epoch(train) [88][840/940] lr: 1.0000e-04 eta: 1:59:51 time: 0.6138 data_time: 0.0362 memory: 24011 grad_norm: 6.0643 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5743 loss: 0.5743 2022/08/05 09:01:56 - mmengine - INFO - Epoch(train) [88][860/940] lr: 1.0000e-04 eta: 1:59:39 time: 0.6307 data_time: 0.0356 memory: 24011 grad_norm: 5.4201 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5014 loss: 0.5014 2022/08/05 09:02:09 - mmengine - INFO - Epoch(train) [88][880/940] lr: 1.0000e-04 eta: 1:59:26 time: 0.6562 data_time: 0.0366 memory: 24011 grad_norm: 5.4817 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5005 loss: 0.5005 2022/08/05 09:02:21 - mmengine - INFO - Epoch(train) [88][900/940] lr: 1.0000e-04 eta: 1:59:14 time: 0.6281 data_time: 0.0344 memory: 24011 grad_norm: 5.3441 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6143 loss: 0.6143 2022/08/05 09:02:33 - mmengine - INFO - Epoch(train) [88][920/940] lr: 1.0000e-04 eta: 1:59:01 time: 0.5863 data_time: 0.0343 memory: 24011 grad_norm: 5.5339 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5703 loss: 0.5703 2022/08/05 09:02:44 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:02:44 - mmengine - INFO - Epoch(train) [88][940/940] lr: 1.0000e-04 eta: 1:58:48 time: 0.5556 data_time: 0.0284 memory: 24011 grad_norm: 5.3799 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6128 loss: 0.6128 2022/08/05 09:02:58 - mmengine - INFO - Epoch(val) [88][20/78] eta: 0:00:39 time: 0.6729 data_time: 0.5195 memory: 3625 2022/08/05 09:03:07 - mmengine - INFO - Epoch(val) [88][40/78] eta: 0:00:16 time: 0.4399 data_time: 0.2808 memory: 3625 2022/08/05 09:03:19 - mmengine - INFO - Epoch(val) [88][60/78] eta: 0:00:11 time: 0.6391 data_time: 0.4824 memory: 3625 2022/08/05 09:03:29 - mmengine - INFO - Epoch(val) [88][78/78] acc/top1: 0.7399 acc/top5: 0.9074 acc/mean1: 0.7398 2022/08/05 09:03:47 - mmengine - INFO - Epoch(train) [89][20/940] lr: 1.0000e-04 eta: 1:58:36 time: 0.8914 data_time: 0.2574 memory: 24011 grad_norm: 5.2132 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5424 loss: 0.5424 2022/08/05 09:04:00 - mmengine - INFO - Epoch(train) [89][40/940] lr: 1.0000e-04 eta: 1:58:23 time: 0.6286 data_time: 0.0295 memory: 24011 grad_norm: 5.1906 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5250 loss: 0.5250 2022/08/05 09:04:13 - mmengine - INFO - Epoch(train) [89][60/940] lr: 1.0000e-04 eta: 1:58:11 time: 0.6457 data_time: 0.0547 memory: 24011 grad_norm: 5.3840 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5406 loss: 0.5406 2022/08/05 09:04:25 - mmengine - INFO - Epoch(train) [89][80/940] lr: 1.0000e-04 eta: 1:57:58 time: 0.6055 data_time: 0.0529 memory: 24011 grad_norm: 5.1570 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5343 loss: 0.5343 2022/08/05 09:04:38 - mmengine - INFO - Epoch(train) [89][100/940] lr: 1.0000e-04 eta: 1:57:45 time: 0.6583 data_time: 0.0964 memory: 24011 grad_norm: 5.3615 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5680 loss: 0.5680 2022/08/05 09:04:50 - mmengine - INFO - Epoch(train) [89][120/940] lr: 1.0000e-04 eta: 1:57:33 time: 0.6093 data_time: 0.0664 memory: 24011 grad_norm: 5.1856 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5656 loss: 0.5656 2022/08/05 09:05:03 - mmengine - INFO - Epoch(train) [89][140/940] lr: 1.0000e-04 eta: 1:57:20 time: 0.6458 data_time: 0.0885 memory: 24011 grad_norm: 5.0151 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5975 loss: 0.5975 2022/08/05 09:05:15 - mmengine - INFO - Epoch(train) [89][160/940] lr: 1.0000e-04 eta: 1:57:07 time: 0.5833 data_time: 0.0363 memory: 24011 grad_norm: 5.3401 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6257 loss: 0.6257 2022/08/05 09:05:28 - mmengine - INFO - Epoch(train) [89][180/940] lr: 1.0000e-04 eta: 1:56:55 time: 0.6717 data_time: 0.0377 memory: 24011 grad_norm: 5.7253 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5730 loss: 0.5730 2022/08/05 09:05:41 - mmengine - INFO - Epoch(train) [89][200/940] lr: 1.0000e-04 eta: 1:56:42 time: 0.6369 data_time: 0.0296 memory: 24011 grad_norm: 5.2638 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5135 loss: 0.5135 2022/08/05 09:05:53 - mmengine - INFO - Epoch(train) [89][220/940] lr: 1.0000e-04 eta: 1:56:30 time: 0.6203 data_time: 0.0400 memory: 24011 grad_norm: 5.5015 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5542 loss: 0.5542 2022/08/05 09:06:05 - mmengine - INFO - Epoch(train) [89][240/940] lr: 1.0000e-04 eta: 1:56:17 time: 0.6000 data_time: 0.0303 memory: 24011 grad_norm: 5.2418 top1_acc: 0.6875 top5_acc: 0.8438 loss_cls: 0.5948 loss: 0.5948 2022/08/05 09:06:18 - mmengine - INFO - Epoch(train) [89][260/940] lr: 1.0000e-04 eta: 1:56:04 time: 0.6349 data_time: 0.0373 memory: 24011 grad_norm: 7.6260 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5932 loss: 0.5932 2022/08/05 09:06:30 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:06:30 - mmengine - INFO - Epoch(train) [89][280/940] lr: 1.0000e-04 eta: 1:55:52 time: 0.6251 data_time: 0.0371 memory: 24011 grad_norm: 5.0162 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5212 loss: 0.5212 2022/08/05 09:06:43 - mmengine - INFO - Epoch(train) [89][300/940] lr: 1.0000e-04 eta: 1:55:39 time: 0.6448 data_time: 0.0328 memory: 24011 grad_norm: 6.3319 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5814 loss: 0.5814 2022/08/05 09:06:55 - mmengine - INFO - Epoch(train) [89][320/940] lr: 1.0000e-04 eta: 1:55:26 time: 0.5816 data_time: 0.0344 memory: 24011 grad_norm: 5.2512 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5717 loss: 0.5717 2022/08/05 09:07:08 - mmengine - INFO - Epoch(train) [89][340/940] lr: 1.0000e-04 eta: 1:55:13 time: 0.6272 data_time: 0.0356 memory: 24011 grad_norm: 5.4080 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5338 loss: 0.5338 2022/08/05 09:07:20 - mmengine - INFO - Epoch(train) [89][360/940] lr: 1.0000e-04 eta: 1:55:01 time: 0.6108 data_time: 0.0397 memory: 24011 grad_norm: 5.2889 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6298 loss: 0.6298 2022/08/05 09:07:32 - mmengine - INFO - Epoch(train) [89][380/940] lr: 1.0000e-04 eta: 1:54:48 time: 0.6203 data_time: 0.0360 memory: 24011 grad_norm: 7.2033 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5047 loss: 0.5047 2022/08/05 09:07:45 - mmengine - INFO - Epoch(train) [89][400/940] lr: 1.0000e-04 eta: 1:54:36 time: 0.6413 data_time: 0.0375 memory: 24011 grad_norm: 5.0623 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.4447 loss: 0.4447 2022/08/05 09:07:57 - mmengine - INFO - Epoch(train) [89][420/940] lr: 1.0000e-04 eta: 1:54:23 time: 0.6096 data_time: 0.0347 memory: 24011 grad_norm: 5.0204 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.6020 loss: 0.6020 2022/08/05 09:08:10 - mmengine - INFO - Epoch(train) [89][440/940] lr: 1.0000e-04 eta: 1:54:10 time: 0.6275 data_time: 0.0384 memory: 24011 grad_norm: 5.2379 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6199 loss: 0.6199 2022/08/05 09:08:23 - mmengine - INFO - Epoch(train) [89][460/940] lr: 1.0000e-04 eta: 1:53:58 time: 0.6469 data_time: 0.0378 memory: 24011 grad_norm: 5.4590 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5502 loss: 0.5502 2022/08/05 09:08:35 - mmengine - INFO - Epoch(train) [89][480/940] lr: 1.0000e-04 eta: 1:53:45 time: 0.6138 data_time: 0.0348 memory: 24011 grad_norm: 6.0947 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5612 loss: 0.5612 2022/08/05 09:08:48 - mmengine - INFO - Epoch(train) [89][500/940] lr: 1.0000e-04 eta: 1:53:32 time: 0.6412 data_time: 0.0374 memory: 24011 grad_norm: 5.5961 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5834 loss: 0.5834 2022/08/05 09:08:59 - mmengine - INFO - Epoch(train) [89][520/940] lr: 1.0000e-04 eta: 1:53:19 time: 0.5732 data_time: 0.0346 memory: 24011 grad_norm: 5.2882 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5073 loss: 0.5073 2022/08/05 09:09:13 - mmengine - INFO - Epoch(train) [89][540/940] lr: 1.0000e-04 eta: 1:53:07 time: 0.6675 data_time: 0.0570 memory: 24011 grad_norm: 5.1289 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5664 loss: 0.5664 2022/08/05 09:09:24 - mmengine - INFO - Epoch(train) [89][560/940] lr: 1.0000e-04 eta: 1:52:54 time: 0.5893 data_time: 0.0400 memory: 24011 grad_norm: 6.0606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5894 loss: 0.5894 2022/08/05 09:09:36 - mmengine - INFO - Epoch(train) [89][580/940] lr: 1.0000e-04 eta: 1:52:41 time: 0.5980 data_time: 0.0352 memory: 24011 grad_norm: 5.4060 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4945 loss: 0.4945 2022/08/05 09:09:49 - mmengine - INFO - Epoch(train) [89][600/940] lr: 1.0000e-04 eta: 1:52:29 time: 0.6419 data_time: 0.0415 memory: 24011 grad_norm: 5.3843 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6061 loss: 0.6061 2022/08/05 09:10:02 - mmengine - INFO - Epoch(train) [89][620/940] lr: 1.0000e-04 eta: 1:52:16 time: 0.6160 data_time: 0.0322 memory: 24011 grad_norm: 5.3641 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.6085 loss: 0.6085 2022/08/05 09:10:14 - mmengine - INFO - Epoch(train) [89][640/940] lr: 1.0000e-04 eta: 1:52:03 time: 0.6236 data_time: 0.0432 memory: 24011 grad_norm: 5.3900 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5414 loss: 0.5414 2022/08/05 09:10:27 - mmengine - INFO - Epoch(train) [89][660/940] lr: 1.0000e-04 eta: 1:51:51 time: 0.6434 data_time: 0.0353 memory: 24011 grad_norm: 6.1849 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6427 loss: 0.6427 2022/08/05 09:10:39 - mmengine - INFO - Epoch(train) [89][680/940] lr: 1.0000e-04 eta: 1:51:38 time: 0.5837 data_time: 0.0404 memory: 24011 grad_norm: 5.7398 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4726 loss: 0.4726 2022/08/05 09:10:51 - mmengine - INFO - Epoch(train) [89][700/940] lr: 1.0000e-04 eta: 1:51:25 time: 0.6305 data_time: 0.0405 memory: 24011 grad_norm: 5.1004 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5588 loss: 0.5588 2022/08/05 09:11:04 - mmengine - INFO - Epoch(train) [89][720/940] lr: 1.0000e-04 eta: 1:51:13 time: 0.6239 data_time: 0.0428 memory: 24011 grad_norm: 5.5476 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5576 loss: 0.5576 2022/08/05 09:11:17 - mmengine - INFO - Epoch(train) [89][740/940] lr: 1.0000e-04 eta: 1:51:00 time: 0.6503 data_time: 0.0341 memory: 24011 grad_norm: 5.1246 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6445 loss: 0.6445 2022/08/05 09:11:29 - mmengine - INFO - Epoch(train) [89][760/940] lr: 1.0000e-04 eta: 1:50:47 time: 0.5928 data_time: 0.0397 memory: 24011 grad_norm: 6.0629 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5522 loss: 0.5522 2022/08/05 09:11:41 - mmengine - INFO - Epoch(train) [89][780/940] lr: 1.0000e-04 eta: 1:50:35 time: 0.6127 data_time: 0.0416 memory: 24011 grad_norm: 5.2419 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.4765 loss: 0.4765 2022/08/05 09:11:53 - mmengine - INFO - Epoch(train) [89][800/940] lr: 1.0000e-04 eta: 1:50:22 time: 0.5998 data_time: 0.0380 memory: 24011 grad_norm: 4.9714 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5507 loss: 0.5507 2022/08/05 09:12:05 - mmengine - INFO - Epoch(train) [89][820/940] lr: 1.0000e-04 eta: 1:50:09 time: 0.5911 data_time: 0.0405 memory: 24011 grad_norm: 5.2262 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5078 loss: 0.5078 2022/08/05 09:12:17 - mmengine - INFO - Epoch(train) [89][840/940] lr: 1.0000e-04 eta: 1:49:57 time: 0.6319 data_time: 0.0328 memory: 24011 grad_norm: 5.1467 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4859 loss: 0.4859 2022/08/05 09:12:30 - mmengine - INFO - Epoch(train) [89][860/940] lr: 1.0000e-04 eta: 1:49:44 time: 0.6353 data_time: 0.0360 memory: 24011 grad_norm: 5.7247 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4914 loss: 0.4914 2022/08/05 09:12:42 - mmengine - INFO - Epoch(train) [89][880/940] lr: 1.0000e-04 eta: 1:49:31 time: 0.6044 data_time: 0.0341 memory: 24011 grad_norm: 5.4829 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5429 loss: 0.5429 2022/08/05 09:12:54 - mmengine - INFO - Epoch(train) [89][900/940] lr: 1.0000e-04 eta: 1:49:19 time: 0.6112 data_time: 0.0394 memory: 24011 grad_norm: 5.0337 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5009 loss: 0.5009 2022/08/05 09:13:07 - mmengine - INFO - Epoch(train) [89][920/940] lr: 1.0000e-04 eta: 1:49:06 time: 0.6337 data_time: 0.0351 memory: 24011 grad_norm: 5.4049 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5855 loss: 0.5855 2022/08/05 09:13:19 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:13:19 - mmengine - INFO - Epoch(train) [89][940/940] lr: 1.0000e-04 eta: 1:48:53 time: 0.5813 data_time: 0.0251 memory: 24011 grad_norm: 5.7376 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.6003 loss: 0.6003 2022/08/05 09:13:32 - mmengine - INFO - Epoch(val) [89][20/78] eta: 0:00:39 time: 0.6783 data_time: 0.5233 memory: 3625 2022/08/05 09:13:41 - mmengine - INFO - Epoch(val) [89][40/78] eta: 0:00:16 time: 0.4301 data_time: 0.2777 memory: 3625 2022/08/05 09:13:53 - mmengine - INFO - Epoch(val) [89][60/78] eta: 0:00:11 time: 0.6183 data_time: 0.4647 memory: 3625 2022/08/05 09:14:04 - mmengine - INFO - Epoch(val) [89][78/78] acc/top1: 0.7406 acc/top5: 0.9075 acc/mean1: 0.7405 2022/08/05 09:14:21 - mmengine - INFO - Epoch(train) [90][20/940] lr: 1.0000e-04 eta: 1:48:41 time: 0.8646 data_time: 0.2453 memory: 24011 grad_norm: 5.6440 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6523 loss: 0.6523 2022/08/05 09:14:33 - mmengine - INFO - Epoch(train) [90][40/940] lr: 1.0000e-04 eta: 1:48:29 time: 0.6128 data_time: 0.0364 memory: 24011 grad_norm: 5.5333 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4867 loss: 0.4867 2022/08/05 09:14:46 - mmengine - INFO - Epoch(train) [90][60/940] lr: 1.0000e-04 eta: 1:48:16 time: 0.6606 data_time: 0.0359 memory: 24011 grad_norm: 5.2132 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5390 loss: 0.5390 2022/08/05 09:14:59 - mmengine - INFO - Epoch(train) [90][80/940] lr: 1.0000e-04 eta: 1:48:03 time: 0.6373 data_time: 0.0302 memory: 24011 grad_norm: 5.3086 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5935 loss: 0.5935 2022/08/05 09:15:12 - mmengine - INFO - Epoch(train) [90][100/940] lr: 1.0000e-04 eta: 1:47:51 time: 0.6282 data_time: 0.0305 memory: 24011 grad_norm: 5.1516 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5424 loss: 0.5424 2022/08/05 09:15:24 - mmengine - INFO - Epoch(train) [90][120/940] lr: 1.0000e-04 eta: 1:47:38 time: 0.6328 data_time: 0.0333 memory: 24011 grad_norm: 4.9958 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.4872 loss: 0.4872 2022/08/05 09:15:37 - mmengine - INFO - Epoch(train) [90][140/940] lr: 1.0000e-04 eta: 1:47:25 time: 0.6379 data_time: 0.0332 memory: 24011 grad_norm: 5.7175 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5650 loss: 0.5650 2022/08/05 09:15:49 - mmengine - INFO - Epoch(train) [90][160/940] lr: 1.0000e-04 eta: 1:47:13 time: 0.5851 data_time: 0.0364 memory: 24011 grad_norm: 5.2705 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6475 loss: 0.6475 2022/08/05 09:16:02 - mmengine - INFO - Epoch(train) [90][180/940] lr: 1.0000e-04 eta: 1:47:00 time: 0.6613 data_time: 0.0345 memory: 24011 grad_norm: 5.3299 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6738 loss: 0.6738 2022/08/05 09:16:14 - mmengine - INFO - Epoch(train) [90][200/940] lr: 1.0000e-04 eta: 1:46:47 time: 0.5963 data_time: 0.0329 memory: 24011 grad_norm: 5.3507 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5031 loss: 0.5031 2022/08/05 09:16:26 - mmengine - INFO - Epoch(train) [90][220/940] lr: 1.0000e-04 eta: 1:46:35 time: 0.5962 data_time: 0.0348 memory: 24011 grad_norm: 5.5905 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5730 loss: 0.5730 2022/08/05 09:16:38 - mmengine - INFO - Epoch(train) [90][240/940] lr: 1.0000e-04 eta: 1:46:22 time: 0.5946 data_time: 0.0339 memory: 24011 grad_norm: 5.0898 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5213 loss: 0.5213 2022/08/05 09:16:51 - mmengine - INFO - Epoch(train) [90][260/940] lr: 1.0000e-04 eta: 1:46:09 time: 0.6337 data_time: 0.0369 memory: 24011 grad_norm: 5.2062 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5611 loss: 0.5611 2022/08/05 09:17:03 - mmengine - INFO - Epoch(train) [90][280/940] lr: 1.0000e-04 eta: 1:45:57 time: 0.6328 data_time: 0.0403 memory: 24011 grad_norm: 5.2926 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4864 loss: 0.4864 2022/08/05 09:17:16 - mmengine - INFO - Epoch(train) [90][300/940] lr: 1.0000e-04 eta: 1:45:44 time: 0.6523 data_time: 0.0467 memory: 24011 grad_norm: 5.8701 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5847 loss: 0.5847 2022/08/05 09:17:28 - mmengine - INFO - Epoch(train) [90][320/940] lr: 1.0000e-04 eta: 1:45:31 time: 0.6010 data_time: 0.0369 memory: 24011 grad_norm: 5.7691 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5337 loss: 0.5337 2022/08/05 09:17:41 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:17:41 - mmengine - INFO - Epoch(train) [90][340/940] lr: 1.0000e-04 eta: 1:45:19 time: 0.6108 data_time: 0.0384 memory: 24011 grad_norm: 5.3265 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5904 loss: 0.5904 2022/08/05 09:17:53 - mmengine - INFO - Epoch(train) [90][360/940] lr: 1.0000e-04 eta: 1:45:06 time: 0.6028 data_time: 0.0334 memory: 24011 grad_norm: 7.1589 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5148 loss: 0.5148 2022/08/05 09:18:06 - mmengine - INFO - Epoch(train) [90][380/940] lr: 1.0000e-04 eta: 1:44:53 time: 0.6632 data_time: 0.0391 memory: 24011 grad_norm: 5.4940 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6293 loss: 0.6293 2022/08/05 09:18:19 - mmengine - INFO - Epoch(train) [90][400/940] lr: 1.0000e-04 eta: 1:44:41 time: 0.6456 data_time: 0.0371 memory: 24011 grad_norm: 5.2776 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6075 loss: 0.6075 2022/08/05 09:18:31 - mmengine - INFO - Epoch(train) [90][420/940] lr: 1.0000e-04 eta: 1:44:28 time: 0.6297 data_time: 0.0346 memory: 24011 grad_norm: 5.3991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5240 loss: 0.5240 2022/08/05 09:18:44 - mmengine - INFO - Epoch(train) [90][440/940] lr: 1.0000e-04 eta: 1:44:15 time: 0.6255 data_time: 0.0445 memory: 24011 grad_norm: 5.4052 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6042 loss: 0.6042 2022/08/05 09:18:57 - mmengine - INFO - Epoch(train) [90][460/940] lr: 1.0000e-04 eta: 1:44:03 time: 0.6541 data_time: 0.0397 memory: 24011 grad_norm: 5.6101 top1_acc: 0.6562 top5_acc: 0.8750 loss_cls: 0.6583 loss: 0.6583 2022/08/05 09:19:09 - mmengine - INFO - Epoch(train) [90][480/940] lr: 1.0000e-04 eta: 1:43:50 time: 0.6125 data_time: 0.0378 memory: 24011 grad_norm: 5.4071 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5535 loss: 0.5535 2022/08/05 09:19:21 - mmengine - INFO - Epoch(train) [90][500/940] lr: 1.0000e-04 eta: 1:43:38 time: 0.6029 data_time: 0.0345 memory: 24011 grad_norm: 5.6534 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6003 loss: 0.6003 2022/08/05 09:19:33 - mmengine - INFO - Epoch(train) [90][520/940] lr: 1.0000e-04 eta: 1:43:25 time: 0.5880 data_time: 0.0369 memory: 24011 grad_norm: 5.0953 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.4818 loss: 0.4818 2022/08/05 09:19:45 - mmengine - INFO - Epoch(train) [90][540/940] lr: 1.0000e-04 eta: 1:43:12 time: 0.5835 data_time: 0.0366 memory: 24011 grad_norm: 5.3591 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5508 loss: 0.5508 2022/08/05 09:19:57 - mmengine - INFO - Epoch(train) [90][560/940] lr: 1.0000e-04 eta: 1:42:59 time: 0.6160 data_time: 0.0372 memory: 24011 grad_norm: 5.4185 top1_acc: 0.7812 top5_acc: 0.8438 loss_cls: 0.5213 loss: 0.5213 2022/08/05 09:20:10 - mmengine - INFO - Epoch(train) [90][580/940] lr: 1.0000e-04 eta: 1:42:47 time: 0.6381 data_time: 0.0342 memory: 24011 grad_norm: 5.3869 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.4987 loss: 0.4987 2022/08/05 09:20:22 - mmengine - INFO - Epoch(train) [90][600/940] lr: 1.0000e-04 eta: 1:42:34 time: 0.6137 data_time: 0.0359 memory: 24011 grad_norm: 5.1020 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5347 loss: 0.5347 2022/08/05 09:20:35 - mmengine - INFO - Epoch(train) [90][620/940] lr: 1.0000e-04 eta: 1:42:21 time: 0.6476 data_time: 0.0411 memory: 24011 grad_norm: 5.3877 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.4572 loss: 0.4572 2022/08/05 09:20:48 - mmengine - INFO - Epoch(train) [90][640/940] lr: 1.0000e-04 eta: 1:42:09 time: 0.6357 data_time: 0.0339 memory: 24011 grad_norm: 5.2621 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5821 loss: 0.5821 2022/08/05 09:21:00 - mmengine - INFO - Epoch(train) [90][660/940] lr: 1.0000e-04 eta: 1:41:56 time: 0.6058 data_time: 0.0330 memory: 24011 grad_norm: 5.2524 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5155 loss: 0.5155 2022/08/05 09:21:13 - mmengine - INFO - Epoch(train) [90][680/940] lr: 1.0000e-04 eta: 1:41:44 time: 0.6689 data_time: 0.0326 memory: 24011 grad_norm: 5.2116 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5540 loss: 0.5540 2022/08/05 09:21:25 - mmengine - INFO - Epoch(train) [90][700/940] lr: 1.0000e-04 eta: 1:41:31 time: 0.6017 data_time: 0.0324 memory: 24011 grad_norm: 5.2930 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6319 loss: 0.6319 2022/08/05 09:21:38 - mmengine - INFO - Epoch(train) [90][720/940] lr: 1.0000e-04 eta: 1:41:18 time: 0.6428 data_time: 0.0443 memory: 24011 grad_norm: 5.4435 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5747 loss: 0.5747 2022/08/05 09:21:51 - mmengine - INFO - Epoch(train) [90][740/940] lr: 1.0000e-04 eta: 1:41:06 time: 0.6305 data_time: 0.0346 memory: 24011 grad_norm: 5.2637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5513 loss: 0.5513 2022/08/05 09:22:03 - mmengine - INFO - Epoch(train) [90][760/940] lr: 1.0000e-04 eta: 1:40:53 time: 0.6151 data_time: 0.0347 memory: 24011 grad_norm: 5.6448 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5381 loss: 0.5381 2022/08/05 09:22:16 - mmengine - INFO - Epoch(train) [90][780/940] lr: 1.0000e-04 eta: 1:40:40 time: 0.6367 data_time: 0.0459 memory: 24011 grad_norm: 5.1433 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5120 loss: 0.5120 2022/08/05 09:22:28 - mmengine - INFO - Epoch(train) [90][800/940] lr: 1.0000e-04 eta: 1:40:28 time: 0.6059 data_time: 0.0364 memory: 24011 grad_norm: 5.3415 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5478 loss: 0.5478 2022/08/05 09:22:41 - mmengine - INFO - Epoch(train) [90][820/940] lr: 1.0000e-04 eta: 1:40:15 time: 0.6391 data_time: 0.0396 memory: 24011 grad_norm: 5.1609 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.6509 loss: 0.6509 2022/08/05 09:22:54 - mmengine - INFO - Epoch(train) [90][840/940] lr: 1.0000e-04 eta: 1:40:02 time: 0.6582 data_time: 0.0373 memory: 24011 grad_norm: 5.6036 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.4991 loss: 0.4991 2022/08/05 09:23:06 - mmengine - INFO - Epoch(train) [90][860/940] lr: 1.0000e-04 eta: 1:39:50 time: 0.6083 data_time: 0.0377 memory: 24011 grad_norm: 5.5903 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6401 loss: 0.6401 2022/08/05 09:23:19 - mmengine - INFO - Epoch(train) [90][880/940] lr: 1.0000e-04 eta: 1:39:37 time: 0.6318 data_time: 0.0344 memory: 24011 grad_norm: 5.2451 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6223 loss: 0.6223 2022/08/05 09:23:31 - mmengine - INFO - Epoch(train) [90][900/940] lr: 1.0000e-04 eta: 1:39:24 time: 0.6090 data_time: 0.0362 memory: 24011 grad_norm: 5.6472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5830 loss: 0.5830 2022/08/05 09:23:44 - mmengine - INFO - Epoch(train) [90][920/940] lr: 1.0000e-04 eta: 1:39:12 time: 0.6321 data_time: 0.0376 memory: 24011 grad_norm: 4.9780 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4907 loss: 0.4907 2022/08/05 09:23:55 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:23:55 - mmengine - INFO - Epoch(train) [90][940/940] lr: 1.0000e-04 eta: 1:38:59 time: 0.5438 data_time: 0.0271 memory: 24011 grad_norm: 5.5465 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.4987 loss: 0.4987 2022/08/05 09:23:55 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/08/05 09:24:13 - mmengine - INFO - Epoch(val) [90][20/78] eta: 0:00:39 time: 0.6847 data_time: 0.5330 memory: 3625 2022/08/05 09:24:22 - mmengine - INFO - Epoch(val) [90][40/78] eta: 0:00:15 time: 0.4200 data_time: 0.2683 memory: 3625 2022/08/05 09:24:34 - mmengine - INFO - Epoch(val) [90][60/78] eta: 0:00:10 time: 0.6062 data_time: 0.4534 memory: 3625 2022/08/05 09:24:43 - mmengine - INFO - Epoch(val) [90][78/78] acc/top1: 0.7412 acc/top5: 0.9073 acc/mean1: 0.7410 2022/08/05 09:25:01 - mmengine - INFO - Epoch(train) [91][20/940] lr: 1.0000e-04 eta: 1:38:47 time: 0.8824 data_time: 0.2879 memory: 24011 grad_norm: 5.4295 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5633 loss: 0.5633 2022/08/05 09:25:13 - mmengine - INFO - Epoch(train) [91][40/940] lr: 1.0000e-04 eta: 1:38:34 time: 0.6231 data_time: 0.0392 memory: 24011 grad_norm: 5.2736 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5588 loss: 0.5588 2022/08/05 09:25:27 - mmengine - INFO - Epoch(train) [91][60/940] lr: 1.0000e-04 eta: 1:38:22 time: 0.6519 data_time: 0.0380 memory: 24011 grad_norm: 5.3186 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5431 loss: 0.5431 2022/08/05 09:25:39 - mmengine - INFO - Epoch(train) [91][80/940] lr: 1.0000e-04 eta: 1:38:09 time: 0.6067 data_time: 0.0251 memory: 24011 grad_norm: 5.0245 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6048 loss: 0.6048 2022/08/05 09:25:52 - mmengine - INFO - Epoch(train) [91][100/940] lr: 1.0000e-04 eta: 1:37:56 time: 0.6836 data_time: 0.0339 memory: 24011 grad_norm: 5.1816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6410 loss: 0.6410 2022/08/05 09:26:05 - mmengine - INFO - Epoch(train) [91][120/940] lr: 1.0000e-04 eta: 1:37:44 time: 0.6226 data_time: 0.0292 memory: 24011 grad_norm: 5.3968 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5540 loss: 0.5540 2022/08/05 09:26:17 - mmengine - INFO - Epoch(train) [91][140/940] lr: 1.0000e-04 eta: 1:37:31 time: 0.6222 data_time: 0.0384 memory: 24011 grad_norm: 5.2950 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5599 loss: 0.5599 2022/08/05 09:26:30 - mmengine - INFO - Epoch(train) [91][160/940] lr: 1.0000e-04 eta: 1:37:18 time: 0.6323 data_time: 0.0320 memory: 24011 grad_norm: 5.3511 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5711 loss: 0.5711 2022/08/05 09:26:43 - mmengine - INFO - Epoch(train) [91][180/940] lr: 1.0000e-04 eta: 1:37:06 time: 0.6356 data_time: 0.0386 memory: 24011 grad_norm: 5.2104 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5756 loss: 0.5756 2022/08/05 09:26:55 - mmengine - INFO - Epoch(train) [91][200/940] lr: 1.0000e-04 eta: 1:36:53 time: 0.6101 data_time: 0.0346 memory: 24011 grad_norm: 5.1640 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5668 loss: 0.5668 2022/08/05 09:27:08 - mmengine - INFO - Epoch(train) [91][220/940] lr: 1.0000e-04 eta: 1:36:40 time: 0.6387 data_time: 0.0419 memory: 24011 grad_norm: 5.4725 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5428 loss: 0.5428 2022/08/05 09:27:20 - mmengine - INFO - Epoch(train) [91][240/940] lr: 1.0000e-04 eta: 1:36:28 time: 0.6349 data_time: 0.0300 memory: 24011 grad_norm: 5.2282 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4764 loss: 0.4764 2022/08/05 09:27:33 - mmengine - INFO - Epoch(train) [91][260/940] lr: 1.0000e-04 eta: 1:36:15 time: 0.6237 data_time: 0.0350 memory: 24011 grad_norm: 5.3046 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5554 loss: 0.5554 2022/08/05 09:27:46 - mmengine - INFO - Epoch(train) [91][280/940] lr: 1.0000e-04 eta: 1:36:03 time: 0.6381 data_time: 0.0336 memory: 24011 grad_norm: 4.9999 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4783 loss: 0.4783 2022/08/05 09:27:58 - mmengine - INFO - Epoch(train) [91][300/940] lr: 1.0000e-04 eta: 1:35:50 time: 0.6121 data_time: 0.0366 memory: 24011 grad_norm: 5.0290 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5716 loss: 0.5716 2022/08/05 09:28:10 - mmengine - INFO - Epoch(train) [91][320/940] lr: 1.0000e-04 eta: 1:35:37 time: 0.5986 data_time: 0.0356 memory: 24011 grad_norm: 6.4905 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5214 loss: 0.5214 2022/08/05 09:28:23 - mmengine - INFO - Epoch(train) [91][340/940] lr: 1.0000e-04 eta: 1:35:25 time: 0.6686 data_time: 0.0438 memory: 24011 grad_norm: 5.4153 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5480 loss: 0.5480 2022/08/05 09:28:36 - mmengine - INFO - Epoch(train) [91][360/940] lr: 1.0000e-04 eta: 1:35:12 time: 0.6233 data_time: 0.0418 memory: 24011 grad_norm: 5.9003 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5488 loss: 0.5488 2022/08/05 09:28:48 - mmengine - INFO - Epoch(train) [91][380/940] lr: 1.0000e-04 eta: 1:34:59 time: 0.6178 data_time: 0.0372 memory: 24011 grad_norm: 5.6855 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4662 loss: 0.4662 2022/08/05 09:29:00 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:29:00 - mmengine - INFO - Epoch(train) [91][400/940] lr: 1.0000e-04 eta: 1:34:47 time: 0.6053 data_time: 0.0361 memory: 24011 grad_norm: 5.5318 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6058 loss: 0.6058 2022/08/05 09:29:13 - mmengine - INFO - Epoch(train) [91][420/940] lr: 1.0000e-04 eta: 1:34:34 time: 0.6217 data_time: 0.0367 memory: 24011 grad_norm: 5.3436 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.4872 loss: 0.4872 2022/08/05 09:29:25 - mmengine - INFO - Epoch(train) [91][440/940] lr: 1.0000e-04 eta: 1:34:21 time: 0.5973 data_time: 0.0392 memory: 24011 grad_norm: 5.1686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5762 loss: 0.5762 2022/08/05 09:29:37 - mmengine - INFO - Epoch(train) [91][460/940] lr: 1.0000e-04 eta: 1:34:09 time: 0.6315 data_time: 0.0485 memory: 24011 grad_norm: 5.1591 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6233 loss: 0.6233 2022/08/05 09:29:49 - mmengine - INFO - Epoch(train) [91][480/940] lr: 1.0000e-04 eta: 1:33:56 time: 0.5934 data_time: 0.0338 memory: 24011 grad_norm: 5.2835 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6094 loss: 0.6094 2022/08/05 09:30:03 - mmengine - INFO - Epoch(train) [91][500/940] lr: 1.0000e-04 eta: 1:33:43 time: 0.6904 data_time: 0.0364 memory: 24011 grad_norm: 5.2881 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5597 loss: 0.5597 2022/08/05 09:30:15 - mmengine - INFO - Epoch(train) [91][520/940] lr: 1.0000e-04 eta: 1:33:31 time: 0.6123 data_time: 0.0338 memory: 24011 grad_norm: 5.1585 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6099 loss: 0.6099 2022/08/05 09:30:27 - mmengine - INFO - Epoch(train) [91][540/940] lr: 1.0000e-04 eta: 1:33:18 time: 0.6071 data_time: 0.0390 memory: 24011 grad_norm: 6.0289 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5700 loss: 0.5700 2022/08/05 09:30:40 - mmengine - INFO - Epoch(train) [91][560/940] lr: 1.0000e-04 eta: 1:33:05 time: 0.6140 data_time: 0.0369 memory: 24011 grad_norm: 5.1997 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5551 loss: 0.5551 2022/08/05 09:30:53 - mmengine - INFO - Epoch(train) [91][580/940] lr: 1.0000e-04 eta: 1:32:53 time: 0.6723 data_time: 0.0366 memory: 24011 grad_norm: 5.1613 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5426 loss: 0.5426 2022/08/05 09:31:05 - mmengine - INFO - Epoch(train) [91][600/940] lr: 1.0000e-04 eta: 1:32:40 time: 0.6033 data_time: 0.0355 memory: 24011 grad_norm: 5.2587 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5805 loss: 0.5805 2022/08/05 09:31:17 - mmengine - INFO - Epoch(train) [91][620/940] lr: 1.0000e-04 eta: 1:32:27 time: 0.6092 data_time: 0.0365 memory: 24011 grad_norm: 7.3595 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5210 loss: 0.5210 2022/08/05 09:31:29 - mmengine - INFO - Epoch(train) [91][640/940] lr: 1.0000e-04 eta: 1:32:15 time: 0.5847 data_time: 0.0374 memory: 24011 grad_norm: 5.0978 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5436 loss: 0.5436 2022/08/05 09:31:42 - mmengine - INFO - Epoch(train) [91][660/940] lr: 1.0000e-04 eta: 1:32:02 time: 0.6673 data_time: 0.0378 memory: 24011 grad_norm: 6.3977 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6049 loss: 0.6049 2022/08/05 09:31:55 - mmengine - INFO - Epoch(train) [91][680/940] lr: 1.0000e-04 eta: 1:31:49 time: 0.6231 data_time: 0.0382 memory: 24011 grad_norm: 5.6518 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4598 loss: 0.4598 2022/08/05 09:32:07 - mmengine - INFO - Epoch(train) [91][700/940] lr: 1.0000e-04 eta: 1:31:37 time: 0.6027 data_time: 0.0388 memory: 24011 grad_norm: 5.3317 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6000 loss: 0.6000 2022/08/05 09:32:19 - mmengine - INFO - Epoch(train) [91][720/940] lr: 1.0000e-04 eta: 1:31:24 time: 0.6062 data_time: 0.0392 memory: 24011 grad_norm: 5.3112 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5955 loss: 0.5955 2022/08/05 09:32:31 - mmengine - INFO - Epoch(train) [91][740/940] lr: 1.0000e-04 eta: 1:31:11 time: 0.5976 data_time: 0.0445 memory: 24011 grad_norm: 5.4141 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5186 loss: 0.5186 2022/08/05 09:32:43 - mmengine - INFO - Epoch(train) [91][760/940] lr: 1.0000e-04 eta: 1:30:59 time: 0.6225 data_time: 0.0362 memory: 24011 grad_norm: 5.3532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4804 loss: 0.4804 2022/08/05 09:32:57 - mmengine - INFO - Epoch(train) [91][780/940] lr: 1.0000e-04 eta: 1:30:46 time: 0.6568 data_time: 0.0323 memory: 24011 grad_norm: 5.1360 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5897 loss: 0.5897 2022/08/05 09:33:09 - mmengine - INFO - Epoch(train) [91][800/940] lr: 1.0000e-04 eta: 1:30:33 time: 0.6160 data_time: 0.0407 memory: 24011 grad_norm: 5.1937 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5903 loss: 0.5903 2022/08/05 09:33:21 - mmengine - INFO - Epoch(train) [91][820/940] lr: 1.0000e-04 eta: 1:30:21 time: 0.6036 data_time: 0.0507 memory: 24011 grad_norm: 5.5522 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5565 loss: 0.5565 2022/08/05 09:33:34 - mmengine - INFO - Epoch(train) [91][840/940] lr: 1.0000e-04 eta: 1:30:08 time: 0.6355 data_time: 0.0381 memory: 24011 grad_norm: 5.1966 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5252 loss: 0.5252 2022/08/05 09:33:46 - mmengine - INFO - Epoch(train) [91][860/940] lr: 1.0000e-04 eta: 1:29:55 time: 0.6152 data_time: 0.0414 memory: 24011 grad_norm: 5.1869 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5082 loss: 0.5082 2022/08/05 09:34:00 - mmengine - INFO - Epoch(train) [91][880/940] lr: 1.0000e-04 eta: 1:29:43 time: 0.6837 data_time: 0.0356 memory: 24011 grad_norm: 5.5628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5499 loss: 0.5499 2022/08/05 09:34:12 - mmengine - INFO - Epoch(train) [91][900/940] lr: 1.0000e-04 eta: 1:29:30 time: 0.6340 data_time: 0.0348 memory: 24011 grad_norm: 5.3444 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5484 loss: 0.5484 2022/08/05 09:34:25 - mmengine - INFO - Epoch(train) [91][920/940] lr: 1.0000e-04 eta: 1:29:18 time: 0.6191 data_time: 0.0433 memory: 24011 grad_norm: 5.8026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5388 loss: 0.5388 2022/08/05 09:34:36 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:34:36 - mmengine - INFO - Epoch(train) [91][940/940] lr: 1.0000e-04 eta: 1:29:05 time: 0.5412 data_time: 0.0259 memory: 24011 grad_norm: 6.2733 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.5389 loss: 0.5389 2022/08/05 09:34:49 - mmengine - INFO - Epoch(val) [91][20/78] eta: 0:00:38 time: 0.6668 data_time: 0.5116 memory: 3625 2022/08/05 09:34:58 - mmengine - INFO - Epoch(val) [91][40/78] eta: 0:00:16 time: 0.4402 data_time: 0.2844 memory: 3625 2022/08/05 09:35:10 - mmengine - INFO - Epoch(val) [91][60/78] eta: 0:00:11 time: 0.6252 data_time: 0.4716 memory: 3625 2022/08/05 09:35:21 - mmengine - INFO - Epoch(val) [91][78/78] acc/top1: 0.7404 acc/top5: 0.9071 acc/mean1: 0.7403 2022/08/05 09:35:38 - mmengine - INFO - Epoch(train) [92][20/940] lr: 1.0000e-04 eta: 1:28:53 time: 0.8678 data_time: 0.2273 memory: 24011 grad_norm: 5.1152 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4815 loss: 0.4815 2022/08/05 09:35:51 - mmengine - INFO - Epoch(train) [92][40/940] lr: 1.0000e-04 eta: 1:28:40 time: 0.6501 data_time: 0.0389 memory: 24011 grad_norm: 5.0877 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5261 loss: 0.5261 2022/08/05 09:36:03 - mmengine - INFO - Epoch(train) [92][60/940] lr: 1.0000e-04 eta: 1:28:27 time: 0.6005 data_time: 0.0359 memory: 24011 grad_norm: 4.9498 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.4739 loss: 0.4739 2022/08/05 09:36:15 - mmengine - INFO - Epoch(train) [92][80/940] lr: 1.0000e-04 eta: 1:28:15 time: 0.6092 data_time: 0.0419 memory: 24011 grad_norm: 5.2682 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5335 loss: 0.5335 2022/08/05 09:36:28 - mmengine - INFO - Epoch(train) [92][100/940] lr: 1.0000e-04 eta: 1:28:02 time: 0.6495 data_time: 0.0454 memory: 24011 grad_norm: 5.1186 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5691 loss: 0.5691 2022/08/05 09:36:40 - mmengine - INFO - Epoch(train) [92][120/940] lr: 1.0000e-04 eta: 1:27:49 time: 0.5998 data_time: 0.0347 memory: 24011 grad_norm: 5.9457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4765 loss: 0.4765 2022/08/05 09:36:53 - mmengine - INFO - Epoch(train) [92][140/940] lr: 1.0000e-04 eta: 1:27:37 time: 0.6441 data_time: 0.0403 memory: 24011 grad_norm: 5.2419 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.4803 loss: 0.4803 2022/08/05 09:37:06 - mmengine - INFO - Epoch(train) [92][160/940] lr: 1.0000e-04 eta: 1:27:24 time: 0.6508 data_time: 0.0293 memory: 24011 grad_norm: 5.6166 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4940 loss: 0.4940 2022/08/05 09:37:19 - mmengine - INFO - Epoch(train) [92][180/940] lr: 1.0000e-04 eta: 1:27:11 time: 0.6314 data_time: 0.0874 memory: 24011 grad_norm: 5.1241 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5176 loss: 0.5176 2022/08/05 09:37:31 - mmengine - INFO - Epoch(train) [92][200/940] lr: 1.0000e-04 eta: 1:26:59 time: 0.5897 data_time: 0.0297 memory: 24011 grad_norm: 5.2154 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4925 loss: 0.4925 2022/08/05 09:37:43 - mmengine - INFO - Epoch(train) [92][220/940] lr: 1.0000e-04 eta: 1:26:46 time: 0.6237 data_time: 0.0475 memory: 24011 grad_norm: 5.1715 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5362 loss: 0.5362 2022/08/05 09:37:56 - mmengine - INFO - Epoch(train) [92][240/940] lr: 1.0000e-04 eta: 1:26:33 time: 0.6581 data_time: 0.0279 memory: 24011 grad_norm: 5.2781 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6410 loss: 0.6410 2022/08/05 09:38:08 - mmengine - INFO - Epoch(train) [92][260/940] lr: 1.0000e-04 eta: 1:26:21 time: 0.6052 data_time: 0.0358 memory: 24011 grad_norm: 5.6499 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6133 loss: 0.6133 2022/08/05 09:38:21 - mmengine - INFO - Epoch(train) [92][280/940] lr: 1.0000e-04 eta: 1:26:08 time: 0.6345 data_time: 0.0355 memory: 24011 grad_norm: 5.5278 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.4851 loss: 0.4851 2022/08/05 09:38:34 - mmengine - INFO - Epoch(train) [92][300/940] lr: 1.0000e-04 eta: 1:25:56 time: 0.6399 data_time: 0.0333 memory: 24011 grad_norm: 5.3384 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5196 loss: 0.5196 2022/08/05 09:38:46 - mmengine - INFO - Epoch(train) [92][320/940] lr: 1.0000e-04 eta: 1:25:43 time: 0.6046 data_time: 0.0392 memory: 24011 grad_norm: 5.2302 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4779 loss: 0.4779 2022/08/05 09:38:58 - mmengine - INFO - Epoch(train) [92][340/940] lr: 1.0000e-04 eta: 1:25:30 time: 0.6130 data_time: 0.0380 memory: 24011 grad_norm: 5.2888 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4847 loss: 0.4847 2022/08/05 09:39:10 - mmengine - INFO - Epoch(train) [92][360/940] lr: 1.0000e-04 eta: 1:25:17 time: 0.5904 data_time: 0.0368 memory: 24011 grad_norm: 5.2689 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6218 loss: 0.6218 2022/08/05 09:39:22 - mmengine - INFO - Epoch(train) [92][380/940] lr: 1.0000e-04 eta: 1:25:05 time: 0.6156 data_time: 0.0369 memory: 24011 grad_norm: 5.1825 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.5373 loss: 0.5373 2022/08/05 09:39:36 - mmengine - INFO - Epoch(train) [92][400/940] lr: 1.0000e-04 eta: 1:24:52 time: 0.6581 data_time: 0.0350 memory: 24011 grad_norm: 5.2818 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6308 loss: 0.6308 2022/08/05 09:39:48 - mmengine - INFO - Epoch(train) [92][420/940] lr: 1.0000e-04 eta: 1:24:40 time: 0.6254 data_time: 0.0328 memory: 24011 grad_norm: 6.1352 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.4919 loss: 0.4919 2022/08/05 09:40:01 - mmengine - INFO - Epoch(train) [92][440/940] lr: 1.0000e-04 eta: 1:24:27 time: 0.6227 data_time: 0.0366 memory: 24011 grad_norm: 5.5787 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4945 loss: 0.4945 2022/08/05 09:40:12 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:40:12 - mmengine - INFO - Epoch(train) [92][460/940] lr: 1.0000e-04 eta: 1:24:14 time: 0.5961 data_time: 0.0438 memory: 24011 grad_norm: 5.2833 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5402 loss: 0.5402 2022/08/05 09:40:25 - mmengine - INFO - Epoch(train) [92][480/940] lr: 1.0000e-04 eta: 1:24:02 time: 0.6045 data_time: 0.0397 memory: 24011 grad_norm: 5.2231 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5921 loss: 0.5921 2022/08/05 09:40:38 - mmengine - INFO - Epoch(train) [92][500/940] lr: 1.0000e-04 eta: 1:23:49 time: 0.6511 data_time: 0.0360 memory: 24011 grad_norm: 5.3653 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5504 loss: 0.5504 2022/08/05 09:40:49 - mmengine - INFO - Epoch(train) [92][520/940] lr: 1.0000e-04 eta: 1:23:36 time: 0.5854 data_time: 0.0355 memory: 24011 grad_norm: 5.6334 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5389 loss: 0.5389 2022/08/05 09:41:01 - mmengine - INFO - Epoch(train) [92][540/940] lr: 1.0000e-04 eta: 1:23:24 time: 0.6047 data_time: 0.0340 memory: 24011 grad_norm: 5.5217 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5703 loss: 0.5703 2022/08/05 09:41:15 - mmengine - INFO - Epoch(train) [92][560/940] lr: 1.0000e-04 eta: 1:23:11 time: 0.6691 data_time: 0.0374 memory: 24011 grad_norm: 5.5521 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.4796 loss: 0.4796 2022/08/05 09:41:27 - mmengine - INFO - Epoch(train) [92][580/940] lr: 1.0000e-04 eta: 1:22:58 time: 0.6133 data_time: 0.0474 memory: 24011 grad_norm: 5.1213 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5877 loss: 0.5877 2022/08/05 09:41:39 - mmengine - INFO - Epoch(train) [92][600/940] lr: 1.0000e-04 eta: 1:22:46 time: 0.6162 data_time: 0.0377 memory: 24011 grad_norm: 5.5515 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5284 loss: 0.5284 2022/08/05 09:41:51 - mmengine - INFO - Epoch(train) [92][620/940] lr: 1.0000e-04 eta: 1:22:33 time: 0.5849 data_time: 0.0322 memory: 24011 grad_norm: 5.7576 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6426 loss: 0.6426 2022/08/05 09:42:03 - mmengine - INFO - Epoch(train) [92][640/940] lr: 1.0000e-04 eta: 1:22:20 time: 0.6122 data_time: 0.0524 memory: 24011 grad_norm: 5.7942 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.5703 loss: 0.5703 2022/08/05 09:42:17 - mmengine - INFO - Epoch(train) [92][660/940] lr: 1.0000e-04 eta: 1:22:08 time: 0.6596 data_time: 0.0354 memory: 24011 grad_norm: 5.0123 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5173 loss: 0.5173 2022/08/05 09:42:29 - mmengine - INFO - Epoch(train) [92][680/940] lr: 1.0000e-04 eta: 1:21:55 time: 0.6077 data_time: 0.0378 memory: 24011 grad_norm: 5.3030 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5476 loss: 0.5476 2022/08/05 09:42:41 - mmengine - INFO - Epoch(train) [92][700/940] lr: 1.0000e-04 eta: 1:21:42 time: 0.6338 data_time: 0.0457 memory: 24011 grad_norm: 5.4258 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5432 loss: 0.5432 2022/08/05 09:42:54 - mmengine - INFO - Epoch(train) [92][720/940] lr: 1.0000e-04 eta: 1:21:30 time: 0.6443 data_time: 0.0400 memory: 24011 grad_norm: 5.5611 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.5817 loss: 0.5817 2022/08/05 09:43:07 - mmengine - INFO - Epoch(train) [92][740/940] lr: 1.0000e-04 eta: 1:21:17 time: 0.6137 data_time: 0.0408 memory: 24011 grad_norm: 4.9378 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.6632 loss: 0.6632 2022/08/05 09:43:19 - mmengine - INFO - Epoch(train) [92][760/940] lr: 1.0000e-04 eta: 1:21:04 time: 0.6254 data_time: 0.0317 memory: 24011 grad_norm: 5.2757 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5355 loss: 0.5355 2022/08/05 09:43:32 - mmengine - INFO - Epoch(train) [92][780/940] lr: 1.0000e-04 eta: 1:20:52 time: 0.6260 data_time: 0.0372 memory: 24011 grad_norm: 5.5769 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6063 loss: 0.6063 2022/08/05 09:43:44 - mmengine - INFO - Epoch(train) [92][800/940] lr: 1.0000e-04 eta: 1:20:39 time: 0.6226 data_time: 0.0362 memory: 24011 grad_norm: 5.4034 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5572 loss: 0.5572 2022/08/05 09:43:56 - mmengine - INFO - Epoch(train) [92][820/940] lr: 1.0000e-04 eta: 1:20:26 time: 0.5907 data_time: 0.0339 memory: 24011 grad_norm: 5.3198 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5769 loss: 0.5769 2022/08/05 09:44:09 - mmengine - INFO - Epoch(train) [92][840/940] lr: 1.0000e-04 eta: 1:20:14 time: 0.6549 data_time: 0.0334 memory: 24011 grad_norm: 5.1924 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5554 loss: 0.5554 2022/08/05 09:44:21 - mmengine - INFO - Epoch(train) [92][860/940] lr: 1.0000e-04 eta: 1:20:01 time: 0.6104 data_time: 0.0343 memory: 24011 grad_norm: 5.2791 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5649 loss: 0.5649 2022/08/05 09:44:34 - mmengine - INFO - Epoch(train) [92][880/940] lr: 1.0000e-04 eta: 1:19:48 time: 0.6356 data_time: 0.0389 memory: 24011 grad_norm: 5.5994 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4903 loss: 0.4903 2022/08/05 09:44:46 - mmengine - INFO - Epoch(train) [92][900/940] lr: 1.0000e-04 eta: 1:19:36 time: 0.5997 data_time: 0.0339 memory: 24011 grad_norm: 5.4885 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5611 loss: 0.5611 2022/08/05 09:44:59 - mmengine - INFO - Epoch(train) [92][920/940] lr: 1.0000e-04 eta: 1:19:23 time: 0.6282 data_time: 0.0478 memory: 24011 grad_norm: 5.3817 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5577 loss: 0.5577 2022/08/05 09:45:10 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:45:10 - mmengine - INFO - Epoch(train) [92][940/940] lr: 1.0000e-04 eta: 1:19:10 time: 0.5737 data_time: 0.0250 memory: 24011 grad_norm: 5.8614 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.5840 loss: 0.5840 2022/08/05 09:45:24 - mmengine - INFO - Epoch(val) [92][20/78] eta: 0:00:38 time: 0.6713 data_time: 0.5161 memory: 3625 2022/08/05 09:45:32 - mmengine - INFO - Epoch(val) [92][40/78] eta: 0:00:16 time: 0.4401 data_time: 0.2870 memory: 3625 2022/08/05 09:45:45 - mmengine - INFO - Epoch(val) [92][60/78] eta: 0:00:11 time: 0.6132 data_time: 0.4609 memory: 3625 2022/08/05 09:45:55 - mmengine - INFO - Epoch(val) [92][78/78] acc/top1: 0.7407 acc/top5: 0.9068 acc/mean1: 0.7406 2022/08/05 09:46:13 - mmengine - INFO - Epoch(train) [93][20/940] lr: 1.0000e-04 eta: 1:18:58 time: 0.9022 data_time: 0.2598 memory: 24011 grad_norm: 5.1734 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.4669 loss: 0.4669 2022/08/05 09:46:25 - mmengine - INFO - Epoch(train) [93][40/940] lr: 1.0000e-04 eta: 1:18:46 time: 0.6232 data_time: 0.0326 memory: 24011 grad_norm: 5.0551 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.5566 loss: 0.5566 2022/08/05 09:46:38 - mmengine - INFO - Epoch(train) [93][60/940] lr: 1.0000e-04 eta: 1:18:33 time: 0.6542 data_time: 0.0472 memory: 24011 grad_norm: 5.3172 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5824 loss: 0.5824 2022/08/05 09:46:51 - mmengine - INFO - Epoch(train) [93][80/940] lr: 1.0000e-04 eta: 1:18:20 time: 0.6071 data_time: 0.0306 memory: 24011 grad_norm: 5.0696 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5064 loss: 0.5064 2022/08/05 09:47:03 - mmengine - INFO - Epoch(train) [93][100/940] lr: 1.0000e-04 eta: 1:18:08 time: 0.6363 data_time: 0.0377 memory: 24011 grad_norm: 5.5271 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5707 loss: 0.5707 2022/08/05 09:47:15 - mmengine - INFO - Epoch(train) [93][120/940] lr: 1.0000e-04 eta: 1:17:55 time: 0.6086 data_time: 0.0371 memory: 24011 grad_norm: 5.2473 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.7035 loss: 0.7035 2022/08/05 09:47:27 - mmengine - INFO - Epoch(train) [93][140/940] lr: 1.0000e-04 eta: 1:17:42 time: 0.5874 data_time: 0.0349 memory: 24011 grad_norm: 5.1546 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5113 loss: 0.5113 2022/08/05 09:47:40 - mmengine - INFO - Epoch(train) [93][160/940] lr: 1.0000e-04 eta: 1:17:30 time: 0.6345 data_time: 0.0775 memory: 24011 grad_norm: 5.9313 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.5566 loss: 0.5566 2022/08/05 09:47:53 - mmengine - INFO - Epoch(train) [93][180/940] lr: 1.0000e-04 eta: 1:17:17 time: 0.6616 data_time: 0.0983 memory: 24011 grad_norm: 5.5016 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5161 loss: 0.5161 2022/08/05 09:48:05 - mmengine - INFO - Epoch(train) [93][200/940] lr: 1.0000e-04 eta: 1:17:04 time: 0.6005 data_time: 0.0371 memory: 24011 grad_norm: 5.5044 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5408 loss: 0.5408 2022/08/05 09:48:18 - mmengine - INFO - Epoch(train) [93][220/940] lr: 1.0000e-04 eta: 1:16:52 time: 0.6585 data_time: 0.0791 memory: 24011 grad_norm: 5.1303 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.5410 loss: 0.5410 2022/08/05 09:48:31 - mmengine - INFO - Epoch(train) [93][240/940] lr: 1.0000e-04 eta: 1:16:39 time: 0.6340 data_time: 0.0729 memory: 24011 grad_norm: 5.4238 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5419 loss: 0.5419 2022/08/05 09:48:43 - mmengine - INFO - Epoch(train) [93][260/940] lr: 1.0000e-04 eta: 1:16:26 time: 0.6004 data_time: 0.0360 memory: 24011 grad_norm: 5.8223 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5712 loss: 0.5712 2022/08/05 09:48:55 - mmengine - INFO - Epoch(train) [93][280/940] lr: 1.0000e-04 eta: 1:16:14 time: 0.6217 data_time: 0.0648 memory: 24011 grad_norm: 5.3778 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5438 loss: 0.5438 2022/08/05 09:49:08 - mmengine - INFO - Epoch(train) [93][300/940] lr: 1.0000e-04 eta: 1:16:01 time: 0.6220 data_time: 0.0358 memory: 24011 grad_norm: 5.1526 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6120 loss: 0.6120 2022/08/05 09:49:20 - mmengine - INFO - Epoch(train) [93][320/940] lr: 1.0000e-04 eta: 1:15:48 time: 0.5944 data_time: 0.0282 memory: 24011 grad_norm: 5.1897 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5319 loss: 0.5319 2022/08/05 09:49:32 - mmengine - INFO - Epoch(train) [93][340/940] lr: 1.0000e-04 eta: 1:15:36 time: 0.6171 data_time: 0.0576 memory: 24011 grad_norm: 5.2019 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5217 loss: 0.5217 2022/08/05 09:49:45 - mmengine - INFO - Epoch(train) [93][360/940] lr: 1.0000e-04 eta: 1:15:23 time: 0.6241 data_time: 0.0696 memory: 24011 grad_norm: 5.4064 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4890 loss: 0.4890 2022/08/05 09:49:58 - mmengine - INFO - Epoch(train) [93][380/940] lr: 1.0000e-04 eta: 1:15:11 time: 0.6542 data_time: 0.0912 memory: 24011 grad_norm: 5.1954 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4895 loss: 0.4895 2022/08/05 09:50:11 - mmengine - INFO - Epoch(train) [93][400/940] lr: 1.0000e-04 eta: 1:14:58 time: 0.6479 data_time: 0.0456 memory: 24011 grad_norm: 5.2838 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5459 loss: 0.5459 2022/08/05 09:50:23 - mmengine - INFO - Epoch(train) [93][420/940] lr: 1.0000e-04 eta: 1:14:45 time: 0.6137 data_time: 0.0299 memory: 24011 grad_norm: 5.5378 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5334 loss: 0.5334 2022/08/05 09:50:35 - mmengine - INFO - Epoch(train) [93][440/940] lr: 1.0000e-04 eta: 1:14:33 time: 0.6183 data_time: 0.0310 memory: 24011 grad_norm: 5.4983 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5462 loss: 0.5462 2022/08/05 09:50:48 - mmengine - INFO - Epoch(train) [93][460/940] lr: 1.0000e-04 eta: 1:14:20 time: 0.6180 data_time: 0.0332 memory: 24011 grad_norm: 5.4138 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5043 loss: 0.5043 2022/08/05 09:51:00 - mmengine - INFO - Epoch(train) [93][480/940] lr: 1.0000e-04 eta: 1:14:07 time: 0.6152 data_time: 0.0368 memory: 24011 grad_norm: 5.3362 top1_acc: 0.8438 top5_acc: 0.8750 loss_cls: 0.5931 loss: 0.5931 2022/08/05 09:51:12 - mmengine - INFO - Epoch(train) [93][500/940] lr: 1.0000e-04 eta: 1:13:55 time: 0.5873 data_time: 0.0347 memory: 24011 grad_norm: 5.3532 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4861 loss: 0.4861 2022/08/05 09:51:24 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:51:24 - mmengine - INFO - Epoch(train) [93][520/940] lr: 1.0000e-04 eta: 1:13:42 time: 0.5975 data_time: 0.0370 memory: 24011 grad_norm: 5.2257 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5049 loss: 0.5049 2022/08/05 09:51:36 - mmengine - INFO - Epoch(train) [93][540/940] lr: 1.0000e-04 eta: 1:13:29 time: 0.6191 data_time: 0.0365 memory: 24011 grad_norm: 5.4459 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6210 loss: 0.6210 2022/08/05 09:51:49 - mmengine - INFO - Epoch(train) [93][560/940] lr: 1.0000e-04 eta: 1:13:17 time: 0.6318 data_time: 0.0356 memory: 24011 grad_norm: 6.1339 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5859 loss: 0.5859 2022/08/05 09:52:02 - mmengine - INFO - Epoch(train) [93][580/940] lr: 1.0000e-04 eta: 1:13:04 time: 0.6507 data_time: 0.0330 memory: 24011 grad_norm: 5.5214 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6332 loss: 0.6332 2022/08/05 09:52:14 - mmengine - INFO - Epoch(train) [93][600/940] lr: 1.0000e-04 eta: 1:12:51 time: 0.6043 data_time: 0.0340 memory: 24011 grad_norm: 5.0469 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5674 loss: 0.5674 2022/08/05 09:52:27 - mmengine - INFO - Epoch(train) [93][620/940] lr: 1.0000e-04 eta: 1:12:39 time: 0.6423 data_time: 0.0570 memory: 24011 grad_norm: 5.5268 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.4740 loss: 0.4740 2022/08/05 09:52:40 - mmengine - INFO - Epoch(train) [93][640/940] lr: 1.0000e-04 eta: 1:12:26 time: 0.6373 data_time: 0.0359 memory: 24011 grad_norm: 5.3915 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5679 loss: 0.5679 2022/08/05 09:52:52 - mmengine - INFO - Epoch(train) [93][660/940] lr: 1.0000e-04 eta: 1:12:13 time: 0.6088 data_time: 0.0348 memory: 24011 grad_norm: 5.4307 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.4844 loss: 0.4844 2022/08/05 09:53:04 - mmengine - INFO - Epoch(train) [93][680/940] lr: 1.0000e-04 eta: 1:12:01 time: 0.5907 data_time: 0.0360 memory: 24011 grad_norm: 5.2951 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5191 loss: 0.5191 2022/08/05 09:53:16 - mmengine - INFO - Epoch(train) [93][700/940] lr: 1.0000e-04 eta: 1:11:48 time: 0.6215 data_time: 0.0358 memory: 24011 grad_norm: 5.6189 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.5103 loss: 0.5103 2022/08/05 09:53:29 - mmengine - INFO - Epoch(train) [93][720/940] lr: 1.0000e-04 eta: 1:11:35 time: 0.6465 data_time: 0.0403 memory: 24011 grad_norm: 5.3762 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5342 loss: 0.5342 2022/08/05 09:53:41 - mmengine - INFO - Epoch(train) [93][740/940] lr: 1.0000e-04 eta: 1:11:23 time: 0.5946 data_time: 0.0367 memory: 24011 grad_norm: 5.3392 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5237 loss: 0.5237 2022/08/05 09:53:53 - mmengine - INFO - Epoch(train) [93][760/940] lr: 1.0000e-04 eta: 1:11:10 time: 0.6225 data_time: 0.0387 memory: 24011 grad_norm: 5.1507 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4652 loss: 0.4652 2022/08/05 09:54:06 - mmengine - INFO - Epoch(train) [93][780/940] lr: 1.0000e-04 eta: 1:10:57 time: 0.6166 data_time: 0.0394 memory: 24011 grad_norm: 5.0379 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4479 loss: 0.4479 2022/08/05 09:54:19 - mmengine - INFO - Epoch(train) [93][800/940] lr: 1.0000e-04 eta: 1:10:45 time: 0.6561 data_time: 0.0338 memory: 24011 grad_norm: 6.1253 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5446 loss: 0.5446 2022/08/05 09:54:31 - mmengine - INFO - Epoch(train) [93][820/940] lr: 1.0000e-04 eta: 1:10:32 time: 0.6208 data_time: 0.0366 memory: 24011 grad_norm: 5.2166 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4931 loss: 0.4931 2022/08/05 09:54:43 - mmengine - INFO - Epoch(train) [93][840/940] lr: 1.0000e-04 eta: 1:10:20 time: 0.6157 data_time: 0.0371 memory: 24011 grad_norm: 5.1848 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6337 loss: 0.6337 2022/08/05 09:54:56 - mmengine - INFO - Epoch(train) [93][860/940] lr: 1.0000e-04 eta: 1:10:07 time: 0.6452 data_time: 0.0388 memory: 24011 grad_norm: 5.9455 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5358 loss: 0.5358 2022/08/05 09:55:08 - mmengine - INFO - Epoch(train) [93][880/940] lr: 1.0000e-04 eta: 1:09:54 time: 0.6004 data_time: 0.0364 memory: 24011 grad_norm: 5.1990 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5752 loss: 0.5752 2022/08/05 09:55:22 - mmengine - INFO - Epoch(train) [93][900/940] lr: 1.0000e-04 eta: 1:09:42 time: 0.6972 data_time: 0.0369 memory: 24011 grad_norm: 5.3638 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5395 loss: 0.5395 2022/08/05 09:55:34 - mmengine - INFO - Epoch(train) [93][920/940] lr: 1.0000e-04 eta: 1:09:29 time: 0.5995 data_time: 0.0376 memory: 24011 grad_norm: 5.1777 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5907 loss: 0.5907 2022/08/05 09:55:45 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 09:55:45 - mmengine - INFO - Epoch(train) [93][940/940] lr: 1.0000e-04 eta: 1:09:16 time: 0.5461 data_time: 0.0267 memory: 24011 grad_norm: 5.5094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5208 loss: 0.5208 2022/08/05 09:55:45 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/08/05 09:56:04 - mmengine - INFO - Epoch(val) [93][20/78] eta: 0:00:38 time: 0.6684 data_time: 0.5162 memory: 3625 2022/08/05 09:56:13 - mmengine - INFO - Epoch(val) [93][40/78] eta: 0:00:16 time: 0.4461 data_time: 0.2950 memory: 3625 2022/08/05 09:56:25 - mmengine - INFO - Epoch(val) [93][60/78] eta: 0:00:11 time: 0.6126 data_time: 0.4594 memory: 3625 2022/08/05 09:56:34 - mmengine - INFO - Epoch(val) [93][78/78] acc/top1: 0.7413 acc/top5: 0.9078 acc/mean1: 0.7411 2022/08/05 09:56:51 - mmengine - INFO - Epoch(train) [94][20/940] lr: 1.0000e-04 eta: 1:09:04 time: 0.8538 data_time: 0.2346 memory: 24011 grad_norm: 6.2179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4829 loss: 0.4829 2022/08/05 09:57:04 - mmengine - INFO - Epoch(train) [94][40/940] lr: 1.0000e-04 eta: 1:08:51 time: 0.6181 data_time: 0.0420 memory: 24011 grad_norm: 6.1335 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5745 loss: 0.5745 2022/08/05 09:57:17 - mmengine - INFO - Epoch(train) [94][60/940] lr: 1.0000e-04 eta: 1:08:39 time: 0.6790 data_time: 0.0463 memory: 24011 grad_norm: 6.1116 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5059 loss: 0.5059 2022/08/05 09:57:29 - mmengine - INFO - Epoch(train) [94][80/940] lr: 1.0000e-04 eta: 1:08:26 time: 0.6040 data_time: 0.0382 memory: 24011 grad_norm: 5.3481 top1_acc: 0.6875 top5_acc: 0.9688 loss_cls: 0.6232 loss: 0.6232 2022/08/05 09:57:42 - mmengine - INFO - Epoch(train) [94][100/940] lr: 1.0000e-04 eta: 1:08:13 time: 0.6607 data_time: 0.0373 memory: 24011 grad_norm: 5.6293 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5954 loss: 0.5954 2022/08/05 09:57:54 - mmengine - INFO - Epoch(train) [94][120/940] lr: 1.0000e-04 eta: 1:08:01 time: 0.5948 data_time: 0.0311 memory: 24011 grad_norm: 5.2238 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5705 loss: 0.5705 2022/08/05 09:58:07 - mmengine - INFO - Epoch(train) [94][140/940] lr: 1.0000e-04 eta: 1:07:48 time: 0.6267 data_time: 0.0379 memory: 24011 grad_norm: 6.1652 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5925 loss: 0.5925 2022/08/05 09:58:19 - mmengine - INFO - Epoch(train) [94][160/940] lr: 1.0000e-04 eta: 1:07:35 time: 0.5984 data_time: 0.0327 memory: 24011 grad_norm: 5.3024 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5396 loss: 0.5396 2022/08/05 09:58:32 - mmengine - INFO - Epoch(train) [94][180/940] lr: 1.0000e-04 eta: 1:07:23 time: 0.6558 data_time: 0.0352 memory: 24011 grad_norm: 5.3799 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.6126 loss: 0.6126 2022/08/05 09:58:44 - mmengine - INFO - Epoch(train) [94][200/940] lr: 1.0000e-04 eta: 1:07:10 time: 0.5947 data_time: 0.0360 memory: 24011 grad_norm: 5.8227 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5105 loss: 0.5105 2022/08/05 09:58:57 - mmengine - INFO - Epoch(train) [94][220/940] lr: 1.0000e-04 eta: 1:06:58 time: 0.6440 data_time: 0.0395 memory: 24011 grad_norm: 5.4428 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.5528 loss: 0.5528 2022/08/05 09:59:09 - mmengine - INFO - Epoch(train) [94][240/940] lr: 1.0000e-04 eta: 1:06:45 time: 0.6212 data_time: 0.0559 memory: 24011 grad_norm: 5.4792 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5417 loss: 0.5417 2022/08/05 09:59:22 - mmengine - INFO - Epoch(train) [94][260/940] lr: 1.0000e-04 eta: 1:06:32 time: 0.6506 data_time: 0.0390 memory: 24011 grad_norm: 5.1784 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5092 loss: 0.5092 2022/08/05 09:59:35 - mmengine - INFO - Epoch(train) [94][280/940] lr: 1.0000e-04 eta: 1:06:20 time: 0.6151 data_time: 0.0281 memory: 24011 grad_norm: 5.3652 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4942 loss: 0.4942 2022/08/05 09:59:48 - mmengine - INFO - Epoch(train) [94][300/940] lr: 1.0000e-04 eta: 1:06:07 time: 0.6419 data_time: 0.0323 memory: 24011 grad_norm: 6.3947 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5787 loss: 0.5787 2022/08/05 10:00:00 - mmengine - INFO - Epoch(train) [94][320/940] lr: 1.0000e-04 eta: 1:05:54 time: 0.6153 data_time: 0.0376 memory: 24011 grad_norm: 5.7169 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5911 loss: 0.5911 2022/08/05 10:00:13 - mmengine - INFO - Epoch(train) [94][340/940] lr: 1.0000e-04 eta: 1:05:42 time: 0.6799 data_time: 0.0390 memory: 24011 grad_norm: 5.6755 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6316 loss: 0.6316 2022/08/05 10:00:25 - mmengine - INFO - Epoch(train) [94][360/940] lr: 1.0000e-04 eta: 1:05:29 time: 0.5733 data_time: 0.0287 memory: 24011 grad_norm: 5.3881 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5403 loss: 0.5403 2022/08/05 10:00:37 - mmengine - INFO - Epoch(train) [94][380/940] lr: 1.0000e-04 eta: 1:05:16 time: 0.5976 data_time: 0.0384 memory: 24011 grad_norm: 5.1017 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5737 loss: 0.5737 2022/08/05 10:00:49 - mmengine - INFO - Epoch(train) [94][400/940] lr: 1.0000e-04 eta: 1:05:04 time: 0.6012 data_time: 0.0294 memory: 24011 grad_norm: 5.1910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5800 loss: 0.5800 2022/08/05 10:01:01 - mmengine - INFO - Epoch(train) [94][420/940] lr: 1.0000e-04 eta: 1:04:51 time: 0.6312 data_time: 0.0592 memory: 24011 grad_norm: 5.5474 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5931 loss: 0.5931 2022/08/05 10:01:14 - mmengine - INFO - Epoch(train) [94][440/940] lr: 1.0000e-04 eta: 1:04:38 time: 0.6306 data_time: 0.0764 memory: 24011 grad_norm: 5.6236 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5279 loss: 0.5279 2022/08/05 10:01:27 - mmengine - INFO - Epoch(train) [94][460/940] lr: 1.0000e-04 eta: 1:04:26 time: 0.6249 data_time: 0.0625 memory: 24011 grad_norm: 5.4657 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6563 loss: 0.6563 2022/08/05 10:01:39 - mmengine - INFO - Epoch(train) [94][480/940] lr: 1.0000e-04 eta: 1:04:13 time: 0.6305 data_time: 0.0275 memory: 24011 grad_norm: 5.4641 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5543 loss: 0.5543 2022/08/05 10:01:52 - mmengine - INFO - Epoch(train) [94][500/940] lr: 1.0000e-04 eta: 1:04:00 time: 0.6153 data_time: 0.0336 memory: 24011 grad_norm: 5.4930 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5111 loss: 0.5111 2022/08/05 10:02:04 - mmengine - INFO - Epoch(train) [94][520/940] lr: 1.0000e-04 eta: 1:03:48 time: 0.6463 data_time: 0.0352 memory: 24011 grad_norm: 5.3718 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5469 loss: 0.5469 2022/08/05 10:02:16 - mmengine - INFO - Epoch(train) [94][540/940] lr: 1.0000e-04 eta: 1:03:35 time: 0.5975 data_time: 0.0360 memory: 24011 grad_norm: 5.1053 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5425 loss: 0.5425 2022/08/05 10:02:29 - mmengine - INFO - Epoch(train) [94][560/940] lr: 1.0000e-04 eta: 1:03:23 time: 0.6527 data_time: 0.0340 memory: 24011 grad_norm: 5.6037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5533 loss: 0.5533 2022/08/05 10:02:42 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:02:42 - mmengine - INFO - Epoch(train) [94][580/940] lr: 1.0000e-04 eta: 1:03:10 time: 0.6283 data_time: 0.0437 memory: 24011 grad_norm: 5.0723 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5156 loss: 0.5156 2022/08/05 10:02:54 - mmengine - INFO - Epoch(train) [94][600/940] lr: 1.0000e-04 eta: 1:02:57 time: 0.6110 data_time: 0.0351 memory: 24011 grad_norm: 5.2397 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5492 loss: 0.5492 2022/08/05 10:03:06 - mmengine - INFO - Epoch(train) [94][620/940] lr: 1.0000e-04 eta: 1:02:45 time: 0.5944 data_time: 0.0330 memory: 24011 grad_norm: 5.9253 top1_acc: 0.7188 top5_acc: 0.9688 loss_cls: 0.5668 loss: 0.5668 2022/08/05 10:03:19 - mmengine - INFO - Epoch(train) [94][640/940] lr: 1.0000e-04 eta: 1:02:32 time: 0.6318 data_time: 0.0424 memory: 24011 grad_norm: 5.2844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5210 loss: 0.5210 2022/08/05 10:03:31 - mmengine - INFO - Epoch(train) [94][660/940] lr: 1.0000e-04 eta: 1:02:19 time: 0.6176 data_time: 0.0349 memory: 24011 grad_norm: 5.3271 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5801 loss: 0.5801 2022/08/05 10:03:43 - mmengine - INFO - Epoch(train) [94][680/940] lr: 1.0000e-04 eta: 1:02:07 time: 0.6062 data_time: 0.0355 memory: 24011 grad_norm: 5.3964 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5133 loss: 0.5133 2022/08/05 10:03:55 - mmengine - INFO - Epoch(train) [94][700/940] lr: 1.0000e-04 eta: 1:01:54 time: 0.6063 data_time: 0.0463 memory: 24011 grad_norm: 5.8935 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.6497 loss: 0.6497 2022/08/05 10:04:08 - mmengine - INFO - Epoch(train) [94][720/940] lr: 1.0000e-04 eta: 1:01:41 time: 0.6448 data_time: 0.0337 memory: 24011 grad_norm: 5.0858 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.4287 loss: 0.4287 2022/08/05 10:04:20 - mmengine - INFO - Epoch(train) [94][740/940] lr: 1.0000e-04 eta: 1:01:29 time: 0.6081 data_time: 0.0343 memory: 24011 grad_norm: 5.7647 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6034 loss: 0.6034 2022/08/05 10:04:34 - mmengine - INFO - Epoch(train) [94][760/940] lr: 1.0000e-04 eta: 1:01:16 time: 0.6754 data_time: 0.0327 memory: 24011 grad_norm: 5.3048 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5686 loss: 0.5686 2022/08/05 10:04:46 - mmengine - INFO - Epoch(train) [94][780/940] lr: 1.0000e-04 eta: 1:01:03 time: 0.6115 data_time: 0.0346 memory: 24011 grad_norm: 5.3637 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5467 loss: 0.5467 2022/08/05 10:05:00 - mmengine - INFO - Epoch(train) [94][800/940] lr: 1.0000e-04 eta: 1:00:51 time: 0.6676 data_time: 0.0370 memory: 24011 grad_norm: 5.7691 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6311 loss: 0.6311 2022/08/05 10:05:12 - mmengine - INFO - Epoch(train) [94][820/940] lr: 1.0000e-04 eta: 1:00:38 time: 0.5967 data_time: 0.0341 memory: 24011 grad_norm: 5.4404 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5610 loss: 0.5610 2022/08/05 10:05:24 - mmengine - INFO - Epoch(train) [94][840/940] lr: 1.0000e-04 eta: 1:00:26 time: 0.6171 data_time: 0.0422 memory: 24011 grad_norm: 5.4193 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5939 loss: 0.5939 2022/08/05 10:05:36 - mmengine - INFO - Epoch(train) [94][860/940] lr: 1.0000e-04 eta: 1:00:13 time: 0.5843 data_time: 0.0338 memory: 24011 grad_norm: 5.2665 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5115 loss: 0.5115 2022/08/05 10:05:48 - mmengine - INFO - Epoch(train) [94][880/940] lr: 1.0000e-04 eta: 1:00:00 time: 0.6096 data_time: 0.0399 memory: 24011 grad_norm: 5.6259 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5999 loss: 0.5999 2022/08/05 10:06:00 - mmengine - INFO - Epoch(train) [94][900/940] lr: 1.0000e-04 eta: 0:59:48 time: 0.6242 data_time: 0.0354 memory: 24011 grad_norm: 5.3361 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5279 loss: 0.5279 2022/08/05 10:06:14 - mmengine - INFO - Epoch(train) [94][920/940] lr: 1.0000e-04 eta: 0:59:35 time: 0.6768 data_time: 0.0491 memory: 24011 grad_norm: 5.0544 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5353 loss: 0.5353 2022/08/05 10:06:25 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:06:25 - mmengine - INFO - Epoch(train) [94][940/940] lr: 1.0000e-04 eta: 0:59:22 time: 0.5645 data_time: 0.0234 memory: 24011 grad_norm: 5.4555 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.4955 loss: 0.4955 2022/08/05 10:06:39 - mmengine - INFO - Epoch(val) [94][20/78] eta: 0:00:38 time: 0.6696 data_time: 0.5125 memory: 3625 2022/08/05 10:06:47 - mmengine - INFO - Epoch(val) [94][40/78] eta: 0:00:16 time: 0.4268 data_time: 0.2737 memory: 3625 2022/08/05 10:07:00 - mmengine - INFO - Epoch(val) [94][60/78] eta: 0:00:11 time: 0.6260 data_time: 0.4720 memory: 3625 2022/08/05 10:07:10 - mmengine - INFO - Epoch(val) [94][78/78] acc/top1: 0.7418 acc/top5: 0.9082 acc/mean1: 0.7417 2022/08/05 10:07:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb/best_acc/top1_epoch_76.pth is removed 2022/08/05 10:07:13 - mmengine - INFO - The best checkpoint with 0.7418 acc/top1 at 95 epoch is saved to best_acc/top1_epoch_95.pth. 2022/08/05 10:07:29 - mmengine - INFO - Epoch(train) [95][20/940] lr: 1.0000e-04 eta: 0:59:10 time: 0.8234 data_time: 0.2798 memory: 24011 grad_norm: 5.2851 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5684 loss: 0.5684 2022/08/05 10:07:42 - mmengine - INFO - Epoch(train) [95][40/940] lr: 1.0000e-04 eta: 0:58:57 time: 0.6189 data_time: 0.0764 memory: 24011 grad_norm: 5.1316 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5195 loss: 0.5195 2022/08/05 10:07:54 - mmengine - INFO - Epoch(train) [95][60/940] lr: 1.0000e-04 eta: 0:58:45 time: 0.6237 data_time: 0.0694 memory: 24011 grad_norm: 5.0863 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5736 loss: 0.5736 2022/08/05 10:08:06 - mmengine - INFO - Epoch(train) [95][80/940] lr: 1.0000e-04 eta: 0:58:32 time: 0.6079 data_time: 0.0510 memory: 24011 grad_norm: 5.1662 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4159 loss: 0.4159 2022/08/05 10:08:19 - mmengine - INFO - Epoch(train) [95][100/940] lr: 1.0000e-04 eta: 0:58:19 time: 0.6250 data_time: 0.0877 memory: 24011 grad_norm: 5.2313 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.5809 loss: 0.5809 2022/08/05 10:08:31 - mmengine - INFO - Epoch(train) [95][120/940] lr: 1.0000e-04 eta: 0:58:07 time: 0.6132 data_time: 0.0730 memory: 24011 grad_norm: 5.5517 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5678 loss: 0.5678 2022/08/05 10:08:44 - mmengine - INFO - Epoch(train) [95][140/940] lr: 1.0000e-04 eta: 0:57:54 time: 0.6180 data_time: 0.0780 memory: 24011 grad_norm: 5.5205 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5507 loss: 0.5507 2022/08/05 10:08:56 - mmengine - INFO - Epoch(train) [95][160/940] lr: 1.0000e-04 eta: 0:57:41 time: 0.6076 data_time: 0.0642 memory: 24011 grad_norm: 5.1996 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5341 loss: 0.5341 2022/08/05 10:09:09 - mmengine - INFO - Epoch(train) [95][180/940] lr: 1.0000e-04 eta: 0:57:29 time: 0.6457 data_time: 0.1036 memory: 24011 grad_norm: 5.3552 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4989 loss: 0.4989 2022/08/05 10:09:22 - mmengine - INFO - Epoch(train) [95][200/940] lr: 1.0000e-04 eta: 0:57:16 time: 0.6796 data_time: 0.1340 memory: 24011 grad_norm: 5.3165 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5063 loss: 0.5063 2022/08/05 10:09:34 - mmengine - INFO - Epoch(train) [95][220/940] lr: 1.0000e-04 eta: 0:57:03 time: 0.5743 data_time: 0.0341 memory: 24011 grad_norm: 5.0554 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.6040 loss: 0.6040 2022/08/05 10:09:47 - mmengine - INFO - Epoch(train) [95][240/940] lr: 1.0000e-04 eta: 0:56:51 time: 0.6481 data_time: 0.0937 memory: 24011 grad_norm: 5.7190 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5176 loss: 0.5176 2022/08/05 10:09:59 - mmengine - INFO - Epoch(train) [95][260/940] lr: 1.0000e-04 eta: 0:56:38 time: 0.6157 data_time: 0.0529 memory: 24011 grad_norm: 5.3333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5322 loss: 0.5322 2022/08/05 10:10:12 - mmengine - INFO - Epoch(train) [95][280/940] lr: 1.0000e-04 eta: 0:56:26 time: 0.6581 data_time: 0.1012 memory: 24011 grad_norm: 6.3132 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5883 loss: 0.5883 2022/08/05 10:10:24 - mmengine - INFO - Epoch(train) [95][300/940] lr: 1.0000e-04 eta: 0:56:13 time: 0.6059 data_time: 0.0556 memory: 24011 grad_norm: 5.3119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4262 loss: 0.4262 2022/08/05 10:10:37 - mmengine - INFO - Epoch(train) [95][320/940] lr: 1.0000e-04 eta: 0:56:00 time: 0.6155 data_time: 0.0614 memory: 24011 grad_norm: 5.3740 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.4795 loss: 0.4795 2022/08/05 10:10:49 - mmengine - INFO - Epoch(train) [95][340/940] lr: 1.0000e-04 eta: 0:55:48 time: 0.6262 data_time: 0.0264 memory: 24011 grad_norm: 6.2010 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5061 loss: 0.5061 2022/08/05 10:11:01 - mmengine - INFO - Epoch(train) [95][360/940] lr: 1.0000e-04 eta: 0:55:35 time: 0.5827 data_time: 0.0388 memory: 24011 grad_norm: 5.0516 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4844 loss: 0.4844 2022/08/05 10:11:13 - mmengine - INFO - Epoch(train) [95][380/940] lr: 1.0000e-04 eta: 0:55:22 time: 0.6000 data_time: 0.0285 memory: 24011 grad_norm: 5.5416 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5702 loss: 0.5702 2022/08/05 10:11:25 - mmengine - INFO - Epoch(train) [95][400/940] lr: 1.0000e-04 eta: 0:55:10 time: 0.5993 data_time: 0.0489 memory: 24011 grad_norm: 5.5732 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5235 loss: 0.5235 2022/08/05 10:11:37 - mmengine - INFO - Epoch(train) [95][420/940] lr: 1.0000e-04 eta: 0:54:57 time: 0.6217 data_time: 0.0644 memory: 24011 grad_norm: 10.6578 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5683 loss: 0.5683 2022/08/05 10:11:50 - mmengine - INFO - Epoch(train) [95][440/940] lr: 1.0000e-04 eta: 0:54:44 time: 0.6183 data_time: 0.0577 memory: 24011 grad_norm: 5.2571 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5118 loss: 0.5118 2022/08/05 10:12:03 - mmengine - INFO - Epoch(train) [95][460/940] lr: 1.0000e-04 eta: 0:54:32 time: 0.6685 data_time: 0.0923 memory: 24011 grad_norm: 5.2771 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4694 loss: 0.4694 2022/08/05 10:12:15 - mmengine - INFO - Epoch(train) [95][480/940] lr: 1.0000e-04 eta: 0:54:19 time: 0.6200 data_time: 0.0475 memory: 24011 grad_norm: 5.6227 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5673 loss: 0.5673 2022/08/05 10:12:28 - mmengine - INFO - Epoch(train) [95][500/940] lr: 1.0000e-04 eta: 0:54:06 time: 0.6254 data_time: 0.0335 memory: 24011 grad_norm: 5.2884 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5720 loss: 0.5720 2022/08/05 10:12:41 - mmengine - INFO - Epoch(train) [95][520/940] lr: 1.0000e-04 eta: 0:53:54 time: 0.6349 data_time: 0.0325 memory: 24011 grad_norm: 5.3196 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5643 loss: 0.5643 2022/08/05 10:12:53 - mmengine - INFO - Epoch(train) [95][540/940] lr: 1.0000e-04 eta: 0:53:41 time: 0.6014 data_time: 0.0384 memory: 24011 grad_norm: 5.4029 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4972 loss: 0.4972 2022/08/05 10:13:05 - mmengine - INFO - Epoch(train) [95][560/940] lr: 1.0000e-04 eta: 0:53:28 time: 0.6409 data_time: 0.0323 memory: 24011 grad_norm: 5.2466 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5643 loss: 0.5643 2022/08/05 10:13:18 - mmengine - INFO - Epoch(train) [95][580/940] lr: 1.0000e-04 eta: 0:53:16 time: 0.6239 data_time: 0.0318 memory: 24011 grad_norm: 5.4187 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5323 loss: 0.5323 2022/08/05 10:13:31 - mmengine - INFO - Epoch(train) [95][600/940] lr: 1.0000e-04 eta: 0:53:03 time: 0.6291 data_time: 0.0367 memory: 24011 grad_norm: 5.1484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4303 loss: 0.4303 2022/08/05 10:13:43 - mmengine - INFO - Epoch(train) [95][620/940] lr: 1.0000e-04 eta: 0:52:50 time: 0.6091 data_time: 0.0334 memory: 24011 grad_norm: 5.3855 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6151 loss: 0.6151 2022/08/05 10:13:55 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:13:55 - mmengine - INFO - Epoch(train) [95][640/940] lr: 1.0000e-04 eta: 0:52:38 time: 0.6180 data_time: 0.0390 memory: 24011 grad_norm: 5.2883 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5611 loss: 0.5611 2022/08/05 10:14:07 - mmengine - INFO - Epoch(train) [95][660/940] lr: 1.0000e-04 eta: 0:52:25 time: 0.6033 data_time: 0.0362 memory: 24011 grad_norm: 6.3150 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5759 loss: 0.5759 2022/08/05 10:14:19 - mmengine - INFO - Epoch(train) [95][680/940] lr: 1.0000e-04 eta: 0:52:13 time: 0.6052 data_time: 0.0409 memory: 24011 grad_norm: 5.7788 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5474 loss: 0.5474 2022/08/05 10:14:32 - mmengine - INFO - Epoch(train) [95][700/940] lr: 1.0000e-04 eta: 0:52:00 time: 0.6150 data_time: 0.0387 memory: 24011 grad_norm: 5.3097 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5860 loss: 0.5860 2022/08/05 10:14:44 - mmengine - INFO - Epoch(train) [95][720/940] lr: 1.0000e-04 eta: 0:51:47 time: 0.6398 data_time: 0.0358 memory: 24011 grad_norm: 5.2911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6145 loss: 0.6145 2022/08/05 10:14:57 - mmengine - INFO - Epoch(train) [95][740/940] lr: 1.0000e-04 eta: 0:51:35 time: 0.6251 data_time: 0.0388 memory: 24011 grad_norm: 6.7848 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5987 loss: 0.5987 2022/08/05 10:15:10 - mmengine - INFO - Epoch(train) [95][760/940] lr: 1.0000e-04 eta: 0:51:22 time: 0.6355 data_time: 0.0376 memory: 24011 grad_norm: 5.6582 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5620 loss: 0.5620 2022/08/05 10:15:22 - mmengine - INFO - Epoch(train) [95][780/940] lr: 1.0000e-04 eta: 0:51:09 time: 0.6295 data_time: 0.0367 memory: 24011 grad_norm: 5.1297 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.4794 loss: 0.4794 2022/08/05 10:15:35 - mmengine - INFO - Epoch(train) [95][800/940] lr: 1.0000e-04 eta: 0:50:57 time: 0.6487 data_time: 0.0384 memory: 24011 grad_norm: 5.3858 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4818 loss: 0.4818 2022/08/05 10:15:47 - mmengine - INFO - Epoch(train) [95][820/940] lr: 1.0000e-04 eta: 0:50:44 time: 0.5924 data_time: 0.0436 memory: 24011 grad_norm: 5.4745 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5934 loss: 0.5934 2022/08/05 10:15:59 - mmengine - INFO - Epoch(train) [95][840/940] lr: 1.0000e-04 eta: 0:50:31 time: 0.5825 data_time: 0.0373 memory: 24011 grad_norm: 5.1199 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5435 loss: 0.5435 2022/08/05 10:16:12 - mmengine - INFO - Epoch(train) [95][860/940] lr: 1.0000e-04 eta: 0:50:19 time: 0.6671 data_time: 0.0338 memory: 24011 grad_norm: 5.0862 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6071 loss: 0.6071 2022/08/05 10:16:25 - mmengine - INFO - Epoch(train) [95][880/940] lr: 1.0000e-04 eta: 0:50:06 time: 0.6293 data_time: 0.0416 memory: 24011 grad_norm: 5.2612 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5957 loss: 0.5957 2022/08/05 10:16:38 - mmengine - INFO - Epoch(train) [95][900/940] lr: 1.0000e-04 eta: 0:49:53 time: 0.6410 data_time: 0.0401 memory: 24011 grad_norm: 5.2938 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5514 loss: 0.5514 2022/08/05 10:16:49 - mmengine - INFO - Epoch(train) [95][920/940] lr: 1.0000e-04 eta: 0:49:41 time: 0.5930 data_time: 0.0347 memory: 24011 grad_norm: 5.2847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5113 loss: 0.5113 2022/08/05 10:17:01 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:17:01 - mmengine - INFO - Epoch(train) [95][940/940] lr: 1.0000e-04 eta: 0:49:28 time: 0.5798 data_time: 0.0294 memory: 24011 grad_norm: 5.3927 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4020 loss: 0.4020 2022/08/05 10:17:14 - mmengine - INFO - Epoch(val) [95][20/78] eta: 0:00:38 time: 0.6636 data_time: 0.5070 memory: 3625 2022/08/05 10:17:23 - mmengine - INFO - Epoch(val) [95][40/78] eta: 0:00:16 time: 0.4339 data_time: 0.2802 memory: 3625 2022/08/05 10:17:36 - mmengine - INFO - Epoch(val) [95][60/78] eta: 0:00:11 time: 0.6248 data_time: 0.4726 memory: 3625 2022/08/05 10:17:46 - mmengine - INFO - Epoch(val) [95][78/78] acc/top1: 0.7411 acc/top5: 0.9079 acc/mean1: 0.7409 2022/08/05 10:18:04 - mmengine - INFO - Epoch(train) [96][20/940] lr: 1.0000e-04 eta: 0:49:16 time: 0.8863 data_time: 0.2584 memory: 24011 grad_norm: 5.1857 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5277 loss: 0.5277 2022/08/05 10:18:16 - mmengine - INFO - Epoch(train) [96][40/940] lr: 1.0000e-04 eta: 0:49:03 time: 0.6089 data_time: 0.0271 memory: 24011 grad_norm: 4.9963 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.4936 loss: 0.4936 2022/08/05 10:18:29 - mmengine - INFO - Epoch(train) [96][60/940] lr: 1.0000e-04 eta: 0:48:51 time: 0.6584 data_time: 0.0315 memory: 24011 grad_norm: 5.4986 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5663 loss: 0.5663 2022/08/05 10:18:41 - mmengine - INFO - Epoch(train) [96][80/940] lr: 1.0000e-04 eta: 0:48:38 time: 0.5960 data_time: 0.0326 memory: 24011 grad_norm: 5.6839 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5115 loss: 0.5115 2022/08/05 10:18:54 - mmengine - INFO - Epoch(train) [96][100/940] lr: 1.0000e-04 eta: 0:48:25 time: 0.6293 data_time: 0.0324 memory: 24011 grad_norm: 5.2937 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6156 loss: 0.6156 2022/08/05 10:19:07 - mmengine - INFO - Epoch(train) [96][120/940] lr: 1.0000e-04 eta: 0:48:13 time: 0.6537 data_time: 0.0326 memory: 24011 grad_norm: 5.1454 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5091 loss: 0.5091 2022/08/05 10:19:19 - mmengine - INFO - Epoch(train) [96][140/940] lr: 1.0000e-04 eta: 0:48:00 time: 0.5983 data_time: 0.0432 memory: 24011 grad_norm: 5.1551 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5492 loss: 0.5492 2022/08/05 10:19:31 - mmengine - INFO - Epoch(train) [96][160/940] lr: 1.0000e-04 eta: 0:47:47 time: 0.6021 data_time: 0.0340 memory: 24011 grad_norm: 5.3763 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5655 loss: 0.5655 2022/08/05 10:19:44 - mmengine - INFO - Epoch(train) [96][180/940] lr: 1.0000e-04 eta: 0:47:35 time: 0.6608 data_time: 0.0354 memory: 24011 grad_norm: 5.3284 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.6180 loss: 0.6180 2022/08/05 10:19:57 - mmengine - INFO - Epoch(train) [96][200/940] lr: 1.0000e-04 eta: 0:47:22 time: 0.6404 data_time: 0.0281 memory: 24011 grad_norm: 5.3494 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.6263 loss: 0.6263 2022/08/05 10:20:09 - mmengine - INFO - Epoch(train) [96][220/940] lr: 1.0000e-04 eta: 0:47:09 time: 0.6268 data_time: 0.0558 memory: 24011 grad_norm: 5.8237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6503 loss: 0.6503 2022/08/05 10:20:21 - mmengine - INFO - Epoch(train) [96][240/940] lr: 1.0000e-04 eta: 0:46:57 time: 0.5925 data_time: 0.0364 memory: 24011 grad_norm: 5.5640 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5068 loss: 0.5068 2022/08/05 10:20:34 - mmengine - INFO - Epoch(train) [96][260/940] lr: 1.0000e-04 eta: 0:46:44 time: 0.6153 data_time: 0.0376 memory: 24011 grad_norm: 5.2395 top1_acc: 0.9062 top5_acc: 0.9062 loss_cls: 0.5966 loss: 0.5966 2022/08/05 10:20:46 - mmengine - INFO - Epoch(train) [96][280/940] lr: 1.0000e-04 eta: 0:46:31 time: 0.6054 data_time: 0.0339 memory: 24011 grad_norm: 5.2045 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5341 loss: 0.5341 2022/08/05 10:20:59 - mmengine - INFO - Epoch(train) [96][300/940] lr: 1.0000e-04 eta: 0:46:19 time: 0.6509 data_time: 0.0482 memory: 24011 grad_norm: 5.4488 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4685 loss: 0.4685 2022/08/05 10:21:11 - mmengine - INFO - Epoch(train) [96][320/940] lr: 1.0000e-04 eta: 0:46:06 time: 0.6046 data_time: 0.0309 memory: 24011 grad_norm: 6.2059 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.6931 loss: 0.6931 2022/08/05 10:21:23 - mmengine - INFO - Epoch(train) [96][340/940] lr: 1.0000e-04 eta: 0:45:53 time: 0.6098 data_time: 0.0609 memory: 24011 grad_norm: 5.3386 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.4676 loss: 0.4676 2022/08/05 10:21:36 - mmengine - INFO - Epoch(train) [96][360/940] lr: 1.0000e-04 eta: 0:45:41 time: 0.6328 data_time: 0.0362 memory: 24011 grad_norm: 5.1729 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5316 loss: 0.5316 2022/08/05 10:21:48 - mmengine - INFO - Epoch(train) [96][380/940] lr: 1.0000e-04 eta: 0:45:28 time: 0.6233 data_time: 0.0752 memory: 24011 grad_norm: 5.3455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5244 loss: 0.5244 2022/08/05 10:22:02 - mmengine - INFO - Epoch(train) [96][400/940] lr: 1.0000e-04 eta: 0:45:16 time: 0.6706 data_time: 0.0305 memory: 24011 grad_norm: 5.3582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5643 loss: 0.5643 2022/08/05 10:22:14 - mmengine - INFO - Epoch(train) [96][420/940] lr: 1.0000e-04 eta: 0:45:03 time: 0.6191 data_time: 0.0413 memory: 24011 grad_norm: 6.0993 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5344 loss: 0.5344 2022/08/05 10:22:26 - mmengine - INFO - Epoch(train) [96][440/940] lr: 1.0000e-04 eta: 0:44:50 time: 0.6115 data_time: 0.0522 memory: 24011 grad_norm: 5.2022 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5770 loss: 0.5770 2022/08/05 10:22:39 - mmengine - INFO - Epoch(train) [96][460/940] lr: 1.0000e-04 eta: 0:44:38 time: 0.6379 data_time: 0.0854 memory: 24011 grad_norm: 6.0789 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.4448 loss: 0.4448 2022/08/05 10:22:51 - mmengine - INFO - Epoch(train) [96][480/940] lr: 1.0000e-04 eta: 0:44:25 time: 0.6031 data_time: 0.0279 memory: 24011 grad_norm: 5.5537 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4833 loss: 0.4833 2022/08/05 10:23:04 - mmengine - INFO - Epoch(train) [96][500/940] lr: 1.0000e-04 eta: 0:44:12 time: 0.6262 data_time: 0.0697 memory: 24011 grad_norm: 5.5351 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5723 loss: 0.5723 2022/08/05 10:23:16 - mmengine - INFO - Epoch(train) [96][520/940] lr: 1.0000e-04 eta: 0:44:00 time: 0.6206 data_time: 0.0408 memory: 24011 grad_norm: 5.2373 top1_acc: 0.7188 top5_acc: 0.9375 loss_cls: 0.5018 loss: 0.5018 2022/08/05 10:23:29 - mmengine - INFO - Epoch(train) [96][540/940] lr: 1.0000e-04 eta: 0:43:47 time: 0.6340 data_time: 0.0808 memory: 24011 grad_norm: 5.2075 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4720 loss: 0.4720 2022/08/05 10:23:41 - mmengine - INFO - Epoch(train) [96][560/940] lr: 1.0000e-04 eta: 0:43:34 time: 0.6290 data_time: 0.0424 memory: 24011 grad_norm: 5.2346 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5097 loss: 0.5097 2022/08/05 10:23:54 - mmengine - INFO - Epoch(train) [96][580/940] lr: 1.0000e-04 eta: 0:43:22 time: 0.6271 data_time: 0.0707 memory: 24011 grad_norm: 5.5862 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5940 loss: 0.5940 2022/08/05 10:24:06 - mmengine - INFO - Epoch(train) [96][600/940] lr: 1.0000e-04 eta: 0:43:09 time: 0.6066 data_time: 0.0440 memory: 24011 grad_norm: 5.3560 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5413 loss: 0.5413 2022/08/05 10:24:19 - mmengine - INFO - Epoch(train) [96][620/940] lr: 1.0000e-04 eta: 0:42:57 time: 0.6394 data_time: 0.0804 memory: 24011 grad_norm: 5.6062 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5572 loss: 0.5572 2022/08/05 10:24:31 - mmengine - INFO - Epoch(train) [96][640/940] lr: 1.0000e-04 eta: 0:42:44 time: 0.6010 data_time: 0.0345 memory: 24011 grad_norm: 5.3005 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5562 loss: 0.5562 2022/08/05 10:24:43 - mmengine - INFO - Epoch(train) [96][660/940] lr: 1.0000e-04 eta: 0:42:31 time: 0.6072 data_time: 0.0598 memory: 24011 grad_norm: 5.6825 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.4866 loss: 0.4866 2022/08/05 10:24:56 - mmengine - INFO - Epoch(train) [96][680/940] lr: 1.0000e-04 eta: 0:42:19 time: 0.6386 data_time: 0.0827 memory: 24011 grad_norm: 5.2210 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4955 loss: 0.4955 2022/08/05 10:25:09 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:25:09 - mmengine - INFO - Epoch(train) [96][700/940] lr: 1.0000e-04 eta: 0:42:06 time: 0.6818 data_time: 0.1157 memory: 24011 grad_norm: 5.3689 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5085 loss: 0.5085 2022/08/05 10:25:21 - mmengine - INFO - Epoch(train) [96][720/940] lr: 1.0000e-04 eta: 0:41:53 time: 0.5932 data_time: 0.0351 memory: 24011 grad_norm: 5.4884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5759 loss: 0.5759 2022/08/05 10:25:33 - mmengine - INFO - Epoch(train) [96][740/940] lr: 1.0000e-04 eta: 0:41:41 time: 0.6069 data_time: 0.0339 memory: 24011 grad_norm: 5.1865 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5190 loss: 0.5190 2022/08/05 10:25:45 - mmengine - INFO - Epoch(train) [96][760/940] lr: 1.0000e-04 eta: 0:41:28 time: 0.6001 data_time: 0.0455 memory: 24011 grad_norm: 5.2273 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4536 loss: 0.4536 2022/08/05 10:25:58 - mmengine - INFO - Epoch(train) [96][780/940] lr: 1.0000e-04 eta: 0:41:15 time: 0.6086 data_time: 0.0634 memory: 24011 grad_norm: 5.2172 top1_acc: 0.8750 top5_acc: 0.9062 loss_cls: 0.4620 loss: 0.4620 2022/08/05 10:26:10 - mmengine - INFO - Epoch(train) [96][800/940] lr: 1.0000e-04 eta: 0:41:03 time: 0.6147 data_time: 0.0341 memory: 24011 grad_norm: 5.5312 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5139 loss: 0.5139 2022/08/05 10:26:23 - mmengine - INFO - Epoch(train) [96][820/940] lr: 1.0000e-04 eta: 0:40:50 time: 0.6543 data_time: 0.1034 memory: 24011 grad_norm: 5.2916 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5951 loss: 0.5951 2022/08/05 10:26:35 - mmengine - INFO - Epoch(train) [96][840/940] lr: 1.0000e-04 eta: 0:40:37 time: 0.6051 data_time: 0.0505 memory: 24011 grad_norm: 5.6082 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5058 loss: 0.5058 2022/08/05 10:26:48 - mmengine - INFO - Epoch(train) [96][860/940] lr: 1.0000e-04 eta: 0:40:25 time: 0.6596 data_time: 0.0895 memory: 24011 grad_norm: 5.4337 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.4784 loss: 0.4784 2022/08/05 10:27:00 - mmengine - INFO - Epoch(train) [96][880/940] lr: 1.0000e-04 eta: 0:40:12 time: 0.6096 data_time: 0.0410 memory: 24011 grad_norm: 5.2229 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4565 loss: 0.4565 2022/08/05 10:27:14 - mmengine - INFO - Epoch(train) [96][900/940] lr: 1.0000e-04 eta: 0:40:00 time: 0.6725 data_time: 0.1122 memory: 24011 grad_norm: 5.3341 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5205 loss: 0.5205 2022/08/05 10:27:26 - mmengine - INFO - Epoch(train) [96][920/940] lr: 1.0000e-04 eta: 0:39:47 time: 0.5973 data_time: 0.0383 memory: 24011 grad_norm: 6.0733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.5842 loss: 0.5842 2022/08/05 10:27:37 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:27:37 - mmengine - INFO - Epoch(train) [96][940/940] lr: 1.0000e-04 eta: 0:39:34 time: 0.5322 data_time: 0.0229 memory: 24011 grad_norm: 5.6556 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5420 loss: 0.5420 2022/08/05 10:27:37 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/05 10:27:55 - mmengine - INFO - Epoch(val) [96][20/78] eta: 0:00:38 time: 0.6701 data_time: 0.5118 memory: 3625 2022/08/05 10:28:03 - mmengine - INFO - Epoch(val) [96][40/78] eta: 0:00:16 time: 0.4362 data_time: 0.2799 memory: 3625 2022/08/05 10:28:16 - mmengine - INFO - Epoch(val) [96][60/78] eta: 0:00:11 time: 0.6185 data_time: 0.4652 memory: 3625 2022/08/05 10:28:25 - mmengine - INFO - Epoch(val) [96][78/78] acc/top1: 0.7410 acc/top5: 0.9087 acc/mean1: 0.7408 2022/08/05 10:28:42 - mmengine - INFO - Epoch(train) [97][20/940] lr: 1.0000e-04 eta: 0:39:22 time: 0.8544 data_time: 0.2523 memory: 24011 grad_norm: 5.5005 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4998 loss: 0.4998 2022/08/05 10:28:54 - mmengine - INFO - Epoch(train) [97][40/940] lr: 1.0000e-04 eta: 0:39:09 time: 0.6217 data_time: 0.0519 memory: 24011 grad_norm: 5.5393 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5890 loss: 0.5890 2022/08/05 10:29:08 - mmengine - INFO - Epoch(train) [97][60/940] lr: 1.0000e-04 eta: 0:38:57 time: 0.6685 data_time: 0.0392 memory: 24011 grad_norm: 5.2892 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.4941 loss: 0.4941 2022/08/05 10:29:20 - mmengine - INFO - Epoch(train) [97][80/940] lr: 1.0000e-04 eta: 0:38:44 time: 0.6161 data_time: 0.0297 memory: 24011 grad_norm: 5.1645 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5590 loss: 0.5590 2022/08/05 10:29:33 - mmengine - INFO - Epoch(train) [97][100/940] lr: 1.0000e-04 eta: 0:38:31 time: 0.6293 data_time: 0.0418 memory: 24011 grad_norm: 5.2336 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.5164 loss: 0.5164 2022/08/05 10:29:45 - mmengine - INFO - Epoch(train) [97][120/940] lr: 1.0000e-04 eta: 0:38:19 time: 0.6127 data_time: 0.0289 memory: 24011 grad_norm: 5.1993 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5433 loss: 0.5433 2022/08/05 10:29:57 - mmengine - INFO - Epoch(train) [97][140/940] lr: 1.0000e-04 eta: 0:38:06 time: 0.6249 data_time: 0.0392 memory: 24011 grad_norm: 5.7772 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5375 loss: 0.5375 2022/08/05 10:30:10 - mmengine - INFO - Epoch(train) [97][160/940] lr: 1.0000e-04 eta: 0:37:53 time: 0.6144 data_time: 0.0324 memory: 24011 grad_norm: 5.1869 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5745 loss: 0.5745 2022/08/05 10:30:23 - mmengine - INFO - Epoch(train) [97][180/940] lr: 1.0000e-04 eta: 0:37:41 time: 0.6537 data_time: 0.0402 memory: 24011 grad_norm: 5.4666 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5461 loss: 0.5461 2022/08/05 10:30:35 - mmengine - INFO - Epoch(train) [97][200/940] lr: 1.0000e-04 eta: 0:37:28 time: 0.6096 data_time: 0.0330 memory: 24011 grad_norm: 5.0444 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.4869 loss: 0.4869 2022/08/05 10:30:48 - mmengine - INFO - Epoch(train) [97][220/940] lr: 1.0000e-04 eta: 0:37:15 time: 0.6443 data_time: 0.0365 memory: 24011 grad_norm: 5.2035 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.6328 loss: 0.6328 2022/08/05 10:31:00 - mmengine - INFO - Epoch(train) [97][240/940] lr: 1.0000e-04 eta: 0:37:03 time: 0.6091 data_time: 0.0310 memory: 24011 grad_norm: 5.7007 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6284 loss: 0.6284 2022/08/05 10:31:13 - mmengine - INFO - Epoch(train) [97][260/940] lr: 1.0000e-04 eta: 0:36:50 time: 0.6362 data_time: 0.0374 memory: 24011 grad_norm: 5.1946 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5624 loss: 0.5624 2022/08/05 10:31:25 - mmengine - INFO - Epoch(train) [97][280/940] lr: 1.0000e-04 eta: 0:36:38 time: 0.6223 data_time: 0.0342 memory: 24011 grad_norm: 5.3922 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5074 loss: 0.5074 2022/08/05 10:31:38 - mmengine - INFO - Epoch(train) [97][300/940] lr: 1.0000e-04 eta: 0:36:25 time: 0.6188 data_time: 0.0398 memory: 24011 grad_norm: 6.5389 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5212 loss: 0.5212 2022/08/05 10:31:50 - mmengine - INFO - Epoch(train) [97][320/940] lr: 1.0000e-04 eta: 0:36:12 time: 0.6324 data_time: 0.0333 memory: 24011 grad_norm: 5.1335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5632 loss: 0.5632 2022/08/05 10:32:03 - mmengine - INFO - Epoch(train) [97][340/940] lr: 1.0000e-04 eta: 0:36:00 time: 0.6393 data_time: 0.0326 memory: 24011 grad_norm: 5.4530 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5380 loss: 0.5380 2022/08/05 10:32:15 - mmengine - INFO - Epoch(train) [97][360/940] lr: 1.0000e-04 eta: 0:35:47 time: 0.6075 data_time: 0.0412 memory: 24011 grad_norm: 5.2527 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5821 loss: 0.5821 2022/08/05 10:32:28 - mmengine - INFO - Epoch(train) [97][380/940] lr: 1.0000e-04 eta: 0:35:34 time: 0.6359 data_time: 0.0408 memory: 24011 grad_norm: 5.5405 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5514 loss: 0.5514 2022/08/05 10:32:40 - mmengine - INFO - Epoch(train) [97][400/940] lr: 1.0000e-04 eta: 0:35:22 time: 0.6158 data_time: 0.0469 memory: 24011 grad_norm: 5.1538 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5122 loss: 0.5122 2022/08/05 10:32:53 - mmengine - INFO - Epoch(train) [97][420/940] lr: 1.0000e-04 eta: 0:35:09 time: 0.6348 data_time: 0.0389 memory: 24011 grad_norm: 5.4700 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5289 loss: 0.5289 2022/08/05 10:33:06 - mmengine - INFO - Epoch(train) [97][440/940] lr: 1.0000e-04 eta: 0:34:56 time: 0.6276 data_time: 0.0515 memory: 24011 grad_norm: 5.3736 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5772 loss: 0.5772 2022/08/05 10:33:17 - mmengine - INFO - Epoch(train) [97][460/940] lr: 1.0000e-04 eta: 0:34:44 time: 0.5946 data_time: 0.0343 memory: 24011 grad_norm: 5.6553 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5340 loss: 0.5340 2022/08/05 10:33:30 - mmengine - INFO - Epoch(train) [97][480/940] lr: 1.0000e-04 eta: 0:34:31 time: 0.6153 data_time: 0.0393 memory: 24011 grad_norm: 5.0142 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5752 loss: 0.5752 2022/08/05 10:33:43 - mmengine - INFO - Epoch(train) [97][500/940] lr: 1.0000e-04 eta: 0:34:19 time: 0.6442 data_time: 0.0420 memory: 24011 grad_norm: 5.6041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5531 loss: 0.5531 2022/08/05 10:33:55 - mmengine - INFO - Epoch(train) [97][520/940] lr: 1.0000e-04 eta: 0:34:06 time: 0.6231 data_time: 0.0348 memory: 24011 grad_norm: 5.2208 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5969 loss: 0.5969 2022/08/05 10:34:07 - mmengine - INFO - Epoch(train) [97][540/940] lr: 1.0000e-04 eta: 0:33:53 time: 0.6070 data_time: 0.0362 memory: 24011 grad_norm: 5.1432 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.5886 loss: 0.5886 2022/08/05 10:34:20 - mmengine - INFO - Epoch(train) [97][560/940] lr: 1.0000e-04 eta: 0:33:41 time: 0.6138 data_time: 0.0346 memory: 24011 grad_norm: 5.2447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5305 loss: 0.5305 2022/08/05 10:34:33 - mmengine - INFO - Epoch(train) [97][580/940] lr: 1.0000e-04 eta: 0:33:28 time: 0.6603 data_time: 0.0354 memory: 24011 grad_norm: 5.7730 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5645 loss: 0.5645 2022/08/05 10:34:45 - mmengine - INFO - Epoch(train) [97][600/940] lr: 1.0000e-04 eta: 0:33:15 time: 0.6097 data_time: 0.0333 memory: 24011 grad_norm: 5.3509 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5946 loss: 0.5946 2022/08/05 10:34:57 - mmengine - INFO - Epoch(train) [97][620/940] lr: 1.0000e-04 eta: 0:33:03 time: 0.5934 data_time: 0.0329 memory: 24011 grad_norm: 5.1844 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5547 loss: 0.5547 2022/08/05 10:35:09 - mmengine - INFO - Epoch(train) [97][640/940] lr: 1.0000e-04 eta: 0:32:50 time: 0.5957 data_time: 0.0355 memory: 24011 grad_norm: 5.7552 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5332 loss: 0.5332 2022/08/05 10:35:22 - mmengine - INFO - Epoch(train) [97][660/940] lr: 1.0000e-04 eta: 0:32:37 time: 0.6758 data_time: 0.0337 memory: 24011 grad_norm: 6.2334 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5466 loss: 0.5466 2022/08/05 10:35:35 - mmengine - INFO - Epoch(train) [97][680/940] lr: 1.0000e-04 eta: 0:32:25 time: 0.6210 data_time: 0.0365 memory: 24011 grad_norm: 5.6253 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.4554 loss: 0.4554 2022/08/05 10:35:47 - mmengine - INFO - Epoch(train) [97][700/940] lr: 1.0000e-04 eta: 0:32:12 time: 0.5937 data_time: 0.0315 memory: 24011 grad_norm: 5.2798 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5287 loss: 0.5287 2022/08/05 10:35:59 - mmengine - INFO - Epoch(train) [97][720/940] lr: 1.0000e-04 eta: 0:31:59 time: 0.6213 data_time: 0.0359 memory: 24011 grad_norm: 5.4419 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5482 loss: 0.5482 2022/08/05 10:36:11 - mmengine - INFO - Epoch(train) [97][740/940] lr: 1.0000e-04 eta: 0:31:47 time: 0.6082 data_time: 0.0368 memory: 24011 grad_norm: 5.1988 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5703 loss: 0.5703 2022/08/05 10:36:23 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:36:23 - mmengine - INFO - Epoch(train) [97][760/940] lr: 1.0000e-04 eta: 0:31:34 time: 0.6078 data_time: 0.0359 memory: 24011 grad_norm: 5.4811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5565 loss: 0.5565 2022/08/05 10:36:37 - mmengine - INFO - Epoch(train) [97][780/940] lr: 1.0000e-04 eta: 0:31:22 time: 0.6638 data_time: 0.0413 memory: 24011 grad_norm: 5.4821 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5437 loss: 0.5437 2022/08/05 10:36:49 - mmengine - INFO - Epoch(train) [97][800/940] lr: 1.0000e-04 eta: 0:31:09 time: 0.6375 data_time: 0.0418 memory: 24011 grad_norm: 6.3681 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5541 loss: 0.5541 2022/08/05 10:37:02 - mmengine - INFO - Epoch(train) [97][820/940] lr: 1.0000e-04 eta: 0:30:56 time: 0.6231 data_time: 0.0392 memory: 24011 grad_norm: 5.3061 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5304 loss: 0.5304 2022/08/05 10:37:14 - mmengine - INFO - Epoch(train) [97][840/940] lr: 1.0000e-04 eta: 0:30:44 time: 0.5863 data_time: 0.0371 memory: 24011 grad_norm: 5.9509 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5004 loss: 0.5004 2022/08/05 10:37:27 - mmengine - INFO - Epoch(train) [97][860/940] lr: 1.0000e-04 eta: 0:30:31 time: 0.6556 data_time: 0.0542 memory: 24011 grad_norm: 5.0710 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5551 loss: 0.5551 2022/08/05 10:37:39 - mmengine - INFO - Epoch(train) [97][880/940] lr: 1.0000e-04 eta: 0:30:18 time: 0.6284 data_time: 0.0380 memory: 24011 grad_norm: 6.1083 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6304 loss: 0.6304 2022/08/05 10:37:52 - mmengine - INFO - Epoch(train) [97][900/940] lr: 1.0000e-04 eta: 0:30:06 time: 0.6085 data_time: 0.0405 memory: 24011 grad_norm: 5.3848 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5317 loss: 0.5317 2022/08/05 10:38:04 - mmengine - INFO - Epoch(train) [97][920/940] lr: 1.0000e-04 eta: 0:29:53 time: 0.5982 data_time: 0.0351 memory: 24011 grad_norm: 5.2065 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5291 loss: 0.5291 2022/08/05 10:38:15 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:38:15 - mmengine - INFO - Epoch(train) [97][940/940] lr: 1.0000e-04 eta: 0:29:40 time: 0.5568 data_time: 0.0268 memory: 24011 grad_norm: 5.4433 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.5589 loss: 0.5589 2022/08/05 10:38:28 - mmengine - INFO - Epoch(val) [97][20/78] eta: 0:00:38 time: 0.6610 data_time: 0.5061 memory: 3625 2022/08/05 10:38:37 - mmengine - INFO - Epoch(val) [97][40/78] eta: 0:00:17 time: 0.4567 data_time: 0.2858 memory: 3625 2022/08/05 10:38:49 - mmengine - INFO - Epoch(val) [97][60/78] eta: 0:00:10 time: 0.6089 data_time: 0.4556 memory: 3625 2022/08/05 10:38:59 - mmengine - INFO - Epoch(val) [97][78/78] acc/top1: 0.7404 acc/top5: 0.9078 acc/mean1: 0.7403 2022/08/05 10:39:18 - mmengine - INFO - Epoch(train) [98][20/940] lr: 1.0000e-04 eta: 0:29:28 time: 0.9190 data_time: 0.2408 memory: 24011 grad_norm: 5.4348 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5682 loss: 0.5682 2022/08/05 10:39:31 - mmengine - INFO - Epoch(train) [98][40/940] lr: 1.0000e-04 eta: 0:29:15 time: 0.6432 data_time: 0.0377 memory: 24011 grad_norm: 5.0609 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6086 loss: 0.6086 2022/08/05 10:39:43 - mmengine - INFO - Epoch(train) [98][60/940] lr: 1.0000e-04 eta: 0:29:03 time: 0.6101 data_time: 0.0357 memory: 24011 grad_norm: 5.5002 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5650 loss: 0.5650 2022/08/05 10:39:55 - mmengine - INFO - Epoch(train) [98][80/940] lr: 1.0000e-04 eta: 0:28:50 time: 0.6241 data_time: 0.0328 memory: 24011 grad_norm: 6.2422 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5308 loss: 0.5308 2022/08/05 10:40:08 - mmengine - INFO - Epoch(train) [98][100/940] lr: 1.0000e-04 eta: 0:28:37 time: 0.6289 data_time: 0.0358 memory: 24011 grad_norm: 5.4940 top1_acc: 0.7812 top5_acc: 0.9062 loss_cls: 0.5285 loss: 0.5285 2022/08/05 10:40:21 - mmengine - INFO - Epoch(train) [98][120/940] lr: 1.0000e-04 eta: 0:28:25 time: 0.6478 data_time: 0.0334 memory: 24011 grad_norm: 5.7593 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4973 loss: 0.4973 2022/08/05 10:40:34 - mmengine - INFO - Epoch(train) [98][140/940] lr: 1.0000e-04 eta: 0:28:12 time: 0.6324 data_time: 0.0349 memory: 24011 grad_norm: 5.4140 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5557 loss: 0.5557 2022/08/05 10:40:46 - mmengine - INFO - Epoch(train) [98][160/940] lr: 1.0000e-04 eta: 0:28:00 time: 0.6376 data_time: 0.0347 memory: 24011 grad_norm: 5.1953 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5610 loss: 0.5610 2022/08/05 10:40:59 - mmengine - INFO - Epoch(train) [98][180/940] lr: 1.0000e-04 eta: 0:27:47 time: 0.6223 data_time: 0.0325 memory: 24011 grad_norm: 5.6995 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4604 loss: 0.4604 2022/08/05 10:41:11 - mmengine - INFO - Epoch(train) [98][200/940] lr: 1.0000e-04 eta: 0:27:34 time: 0.6090 data_time: 0.0364 memory: 24011 grad_norm: 4.8589 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.4604 loss: 0.4604 2022/08/05 10:41:24 - mmengine - INFO - Epoch(train) [98][220/940] lr: 1.0000e-04 eta: 0:27:22 time: 0.6386 data_time: 0.0368 memory: 24011 grad_norm: 5.4438 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.4382 loss: 0.4382 2022/08/05 10:41:36 - mmengine - INFO - Epoch(train) [98][240/940] lr: 1.0000e-04 eta: 0:27:09 time: 0.6277 data_time: 0.0402 memory: 24011 grad_norm: 6.1472 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.4704 loss: 0.4704 2022/08/05 10:41:49 - mmengine - INFO - Epoch(train) [98][260/940] lr: 1.0000e-04 eta: 0:26:56 time: 0.6102 data_time: 0.0577 memory: 24011 grad_norm: 5.5756 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5018 loss: 0.5018 2022/08/05 10:42:01 - mmengine - INFO - Epoch(train) [98][280/940] lr: 1.0000e-04 eta: 0:26:44 time: 0.5994 data_time: 0.0339 memory: 24011 grad_norm: 5.2871 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5626 loss: 0.5626 2022/08/05 10:42:13 - mmengine - INFO - Epoch(train) [98][300/940] lr: 1.0000e-04 eta: 0:26:31 time: 0.6352 data_time: 0.0360 memory: 24011 grad_norm: 4.9345 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5679 loss: 0.5679 2022/08/05 10:42:26 - mmengine - INFO - Epoch(train) [98][320/940] lr: 1.0000e-04 eta: 0:26:18 time: 0.6156 data_time: 0.0388 memory: 24011 grad_norm: 6.1855 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5602 loss: 0.5602 2022/08/05 10:42:38 - mmengine - INFO - Epoch(train) [98][340/940] lr: 1.0000e-04 eta: 0:26:06 time: 0.6083 data_time: 0.0266 memory: 24011 grad_norm: 5.3732 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5294 loss: 0.5294 2022/08/05 10:42:50 - mmengine - INFO - Epoch(train) [98][360/940] lr: 1.0000e-04 eta: 0:25:53 time: 0.5861 data_time: 0.0379 memory: 24011 grad_norm: 5.4710 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5344 loss: 0.5344 2022/08/05 10:43:02 - mmengine - INFO - Epoch(train) [98][380/940] lr: 1.0000e-04 eta: 0:25:41 time: 0.6093 data_time: 0.0330 memory: 24011 grad_norm: 5.5621 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4835 loss: 0.4835 2022/08/05 10:43:15 - mmengine - INFO - Epoch(train) [98][400/940] lr: 1.0000e-04 eta: 0:25:28 time: 0.6383 data_time: 0.0467 memory: 24011 grad_norm: 5.2974 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5289 loss: 0.5289 2022/08/05 10:43:27 - mmengine - INFO - Epoch(train) [98][420/940] lr: 1.0000e-04 eta: 0:25:15 time: 0.6215 data_time: 0.0345 memory: 24011 grad_norm: 5.5877 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5662 loss: 0.5662 2022/08/05 10:43:40 - mmengine - INFO - Epoch(train) [98][440/940] lr: 1.0000e-04 eta: 0:25:03 time: 0.6276 data_time: 0.0330 memory: 24011 grad_norm: 6.0177 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5937 loss: 0.5937 2022/08/05 10:43:52 - mmengine - INFO - Epoch(train) [98][460/940] lr: 1.0000e-04 eta: 0:24:50 time: 0.6147 data_time: 0.0401 memory: 24011 grad_norm: 5.2329 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5375 loss: 0.5375 2022/08/05 10:44:04 - mmengine - INFO - Epoch(train) [98][480/940] lr: 1.0000e-04 eta: 0:24:37 time: 0.6153 data_time: 0.0387 memory: 24011 grad_norm: 5.4574 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5039 loss: 0.5039 2022/08/05 10:44:17 - mmengine - INFO - Epoch(train) [98][500/940] lr: 1.0000e-04 eta: 0:24:25 time: 0.6250 data_time: 0.0351 memory: 24011 grad_norm: 5.3119 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5905 loss: 0.5905 2022/08/05 10:44:29 - mmengine - INFO - Epoch(train) [98][520/940] lr: 1.0000e-04 eta: 0:24:12 time: 0.6240 data_time: 0.0377 memory: 24011 grad_norm: 12.9931 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4714 loss: 0.4714 2022/08/05 10:44:42 - mmengine - INFO - Epoch(train) [98][540/940] lr: 1.0000e-04 eta: 0:23:59 time: 0.6282 data_time: 0.0333 memory: 24011 grad_norm: 5.0443 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4931 loss: 0.4931 2022/08/05 10:44:54 - mmengine - INFO - Epoch(train) [98][560/940] lr: 1.0000e-04 eta: 0:23:47 time: 0.6250 data_time: 0.0498 memory: 24011 grad_norm: 5.3408 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5779 loss: 0.5779 2022/08/05 10:45:06 - mmengine - INFO - Epoch(train) [98][580/940] lr: 1.0000e-04 eta: 0:23:34 time: 0.6072 data_time: 0.0314 memory: 24011 grad_norm: 5.0213 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4017 loss: 0.4017 2022/08/05 10:45:19 - mmengine - INFO - Epoch(train) [98][600/940] lr: 1.0000e-04 eta: 0:23:22 time: 0.6403 data_time: 0.0375 memory: 24011 grad_norm: 5.1933 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5204 loss: 0.5204 2022/08/05 10:45:32 - mmengine - INFO - Epoch(train) [98][620/940] lr: 1.0000e-04 eta: 0:23:09 time: 0.6247 data_time: 0.0314 memory: 24011 grad_norm: 5.0175 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5903 loss: 0.5903 2022/08/05 10:45:44 - mmengine - INFO - Epoch(train) [98][640/940] lr: 1.0000e-04 eta: 0:22:56 time: 0.6253 data_time: 0.0544 memory: 24011 grad_norm: 5.3779 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4494 loss: 0.4494 2022/08/05 10:45:57 - mmengine - INFO - Epoch(train) [98][660/940] lr: 1.0000e-04 eta: 0:22:44 time: 0.6166 data_time: 0.0318 memory: 24011 grad_norm: 5.1354 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5061 loss: 0.5061 2022/08/05 10:46:10 - mmengine - INFO - Epoch(train) [98][680/940] lr: 1.0000e-04 eta: 0:22:31 time: 0.6668 data_time: 0.0399 memory: 24011 grad_norm: 5.2058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4741 loss: 0.4741 2022/08/05 10:46:22 - mmengine - INFO - Epoch(train) [98][700/940] lr: 1.0000e-04 eta: 0:22:18 time: 0.6035 data_time: 0.0283 memory: 24011 grad_norm: 5.4197 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.6558 loss: 0.6558 2022/08/05 10:46:34 - mmengine - INFO - Epoch(train) [98][720/940] lr: 1.0000e-04 eta: 0:22:06 time: 0.6071 data_time: 0.0343 memory: 24011 grad_norm: 5.6377 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5325 loss: 0.5325 2022/08/05 10:46:47 - mmengine - INFO - Epoch(train) [98][740/940] lr: 1.0000e-04 eta: 0:21:53 time: 0.6558 data_time: 0.0981 memory: 24011 grad_norm: 5.4752 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5590 loss: 0.5590 2022/08/05 10:47:00 - mmengine - INFO - Epoch(train) [98][760/940] lr: 1.0000e-04 eta: 0:21:40 time: 0.6292 data_time: 0.0549 memory: 24011 grad_norm: 5.8772 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5500 loss: 0.5500 2022/08/05 10:47:13 - mmengine - INFO - Epoch(train) [98][780/940] lr: 1.0000e-04 eta: 0:21:28 time: 0.6482 data_time: 0.0266 memory: 24011 grad_norm: 5.2052 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5025 loss: 0.5025 2022/08/05 10:47:24 - mmengine - INFO - Epoch(train) [98][800/940] lr: 1.0000e-04 eta: 0:21:15 time: 0.5834 data_time: 0.0339 memory: 24011 grad_norm: 5.6865 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5223 loss: 0.5223 2022/08/05 10:47:37 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:47:37 - mmengine - INFO - Epoch(train) [98][820/940] lr: 1.0000e-04 eta: 0:21:03 time: 0.6250 data_time: 0.0306 memory: 24011 grad_norm: 5.1591 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5187 loss: 0.5187 2022/08/05 10:47:50 - mmengine - INFO - Epoch(train) [98][840/940] lr: 1.0000e-04 eta: 0:20:50 time: 0.6350 data_time: 0.0382 memory: 24011 grad_norm: 6.1494 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5626 loss: 0.5626 2022/08/05 10:48:01 - mmengine - INFO - Epoch(train) [98][860/940] lr: 1.0000e-04 eta: 0:20:37 time: 0.5892 data_time: 0.0383 memory: 24011 grad_norm: 6.8588 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5004 loss: 0.5004 2022/08/05 10:48:13 - mmengine - INFO - Epoch(train) [98][880/940] lr: 1.0000e-04 eta: 0:20:25 time: 0.5969 data_time: 0.0398 memory: 24011 grad_norm: 5.0846 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5038 loss: 0.5038 2022/08/05 10:48:26 - mmengine - INFO - Epoch(train) [98][900/940] lr: 1.0000e-04 eta: 0:20:12 time: 0.6341 data_time: 0.0328 memory: 24011 grad_norm: 5.4369 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5586 loss: 0.5586 2022/08/05 10:48:38 - mmengine - INFO - Epoch(train) [98][920/940] lr: 1.0000e-04 eta: 0:19:59 time: 0.6073 data_time: 0.0378 memory: 24011 grad_norm: 5.6582 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5508 loss: 0.5508 2022/08/05 10:48:49 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:48:49 - mmengine - INFO - Epoch(train) [98][940/940] lr: 1.0000e-04 eta: 0:19:47 time: 0.5509 data_time: 0.0249 memory: 24011 grad_norm: 6.0903 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5360 loss: 0.5360 2022/08/05 10:49:03 - mmengine - INFO - Epoch(val) [98][20/78] eta: 0:00:38 time: 0.6621 data_time: 0.5049 memory: 3625 2022/08/05 10:49:12 - mmengine - INFO - Epoch(val) [98][40/78] eta: 0:00:17 time: 0.4679 data_time: 0.3145 memory: 3625 2022/08/05 10:49:24 - mmengine - INFO - Epoch(val) [98][60/78] eta: 0:00:10 time: 0.5977 data_time: 0.4437 memory: 3625 2022/08/05 10:49:34 - mmengine - INFO - Epoch(val) [98][78/78] acc/top1: 0.7415 acc/top5: 0.9076 acc/mean1: 0.7413 2022/08/05 10:49:51 - mmengine - INFO - Epoch(train) [99][20/940] lr: 1.0000e-04 eta: 0:19:34 time: 0.8557 data_time: 0.3049 memory: 24011 grad_norm: 5.1668 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5701 loss: 0.5701 2022/08/05 10:50:04 - mmengine - INFO - Epoch(train) [99][40/940] lr: 1.0000e-04 eta: 0:19:22 time: 0.6200 data_time: 0.0653 memory: 24011 grad_norm: 5.3189 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4829 loss: 0.4829 2022/08/05 10:50:17 - mmengine - INFO - Epoch(train) [99][60/940] lr: 1.0000e-04 eta: 0:19:09 time: 0.6679 data_time: 0.0364 memory: 24011 grad_norm: 5.7531 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4712 loss: 0.4712 2022/08/05 10:50:29 - mmengine - INFO - Epoch(train) [99][80/940] lr: 1.0000e-04 eta: 0:18:56 time: 0.6012 data_time: 0.0341 memory: 24011 grad_norm: 5.3210 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5926 loss: 0.5926 2022/08/05 10:50:42 - mmengine - INFO - Epoch(train) [99][100/940] lr: 1.0000e-04 eta: 0:18:44 time: 0.6342 data_time: 0.0658 memory: 24011 grad_norm: 5.4677 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5933 loss: 0.5933 2022/08/05 10:50:55 - mmengine - INFO - Epoch(train) [99][120/940] lr: 1.0000e-04 eta: 0:18:31 time: 0.6335 data_time: 0.0598 memory: 24011 grad_norm: 5.3687 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5142 loss: 0.5142 2022/08/05 10:51:07 - mmengine - INFO - Epoch(train) [99][140/940] lr: 1.0000e-04 eta: 0:18:18 time: 0.6243 data_time: 0.0367 memory: 24011 grad_norm: 5.6804 top1_acc: 0.7500 top5_acc: 0.9062 loss_cls: 0.5731 loss: 0.5731 2022/08/05 10:51:20 - mmengine - INFO - Epoch(train) [99][160/940] lr: 1.0000e-04 eta: 0:18:06 time: 0.6237 data_time: 0.0485 memory: 24011 grad_norm: 5.4296 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5686 loss: 0.5686 2022/08/05 10:51:33 - mmengine - INFO - Epoch(train) [99][180/940] lr: 1.0000e-04 eta: 0:17:53 time: 0.6471 data_time: 0.0396 memory: 24011 grad_norm: 5.4076 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.5548 loss: 0.5548 2022/08/05 10:51:45 - mmengine - INFO - Epoch(train) [99][200/940] lr: 1.0000e-04 eta: 0:17:40 time: 0.6154 data_time: 0.0365 memory: 24011 grad_norm: 5.2004 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5084 loss: 0.5084 2022/08/05 10:51:58 - mmengine - INFO - Epoch(train) [99][220/940] lr: 1.0000e-04 eta: 0:17:28 time: 0.6677 data_time: 0.0358 memory: 24011 grad_norm: 5.4777 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5290 loss: 0.5290 2022/08/05 10:52:11 - mmengine - INFO - Epoch(train) [99][240/940] lr: 1.0000e-04 eta: 0:17:15 time: 0.6118 data_time: 0.0353 memory: 24011 grad_norm: 5.2311 top1_acc: 0.9688 top5_acc: 1.0000 loss_cls: 0.5736 loss: 0.5736 2022/08/05 10:52:24 - mmengine - INFO - Epoch(train) [99][260/940] lr: 1.0000e-04 eta: 0:17:03 time: 0.6531 data_time: 0.0340 memory: 24011 grad_norm: 5.4758 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5422 loss: 0.5422 2022/08/05 10:52:36 - mmengine - INFO - Epoch(train) [99][280/940] lr: 1.0000e-04 eta: 0:16:50 time: 0.5988 data_time: 0.0360 memory: 24011 grad_norm: 5.7194 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5598 loss: 0.5598 2022/08/05 10:52:48 - mmengine - INFO - Epoch(train) [99][300/940] lr: 1.0000e-04 eta: 0:16:37 time: 0.6220 data_time: 0.0590 memory: 24011 grad_norm: 5.5565 top1_acc: 0.6875 top5_acc: 0.9062 loss_cls: 0.5954 loss: 0.5954 2022/08/05 10:53:00 - mmengine - INFO - Epoch(train) [99][320/940] lr: 1.0000e-04 eta: 0:16:25 time: 0.6135 data_time: 0.0359 memory: 24011 grad_norm: 5.3863 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5713 loss: 0.5713 2022/08/05 10:53:13 - mmengine - INFO - Epoch(train) [99][340/940] lr: 1.0000e-04 eta: 0:16:12 time: 0.6247 data_time: 0.0357 memory: 24011 grad_norm: 5.5370 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4865 loss: 0.4865 2022/08/05 10:53:25 - mmengine - INFO - Epoch(train) [99][360/940] lr: 1.0000e-04 eta: 0:15:59 time: 0.6026 data_time: 0.0357 memory: 24011 grad_norm: 5.1372 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5992 loss: 0.5992 2022/08/05 10:53:39 - mmengine - INFO - Epoch(train) [99][380/940] lr: 1.0000e-04 eta: 0:15:47 time: 0.6904 data_time: 0.0344 memory: 24011 grad_norm: 5.6358 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.6408 loss: 0.6408 2022/08/05 10:53:50 - mmengine - INFO - Epoch(train) [99][400/940] lr: 1.0000e-04 eta: 0:15:34 time: 0.5898 data_time: 0.0355 memory: 24011 grad_norm: 5.5068 top1_acc: 0.9688 top5_acc: 0.9688 loss_cls: 0.5146 loss: 0.5146 2022/08/05 10:54:03 - mmengine - INFO - Epoch(train) [99][420/940] lr: 1.0000e-04 eta: 0:15:22 time: 0.6258 data_time: 0.0392 memory: 24011 grad_norm: 5.2336 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5872 loss: 0.5872 2022/08/05 10:54:15 - mmengine - INFO - Epoch(train) [99][440/940] lr: 1.0000e-04 eta: 0:15:09 time: 0.6050 data_time: 0.0395 memory: 24011 grad_norm: 7.1087 top1_acc: 0.7500 top5_acc: 0.9688 loss_cls: 0.5937 loss: 0.5937 2022/08/05 10:54:28 - mmengine - INFO - Epoch(train) [99][460/940] lr: 1.0000e-04 eta: 0:14:56 time: 0.6339 data_time: 0.0396 memory: 24011 grad_norm: 5.3836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4294 loss: 0.4294 2022/08/05 10:54:40 - mmengine - INFO - Epoch(train) [99][480/940] lr: 1.0000e-04 eta: 0:14:44 time: 0.6041 data_time: 0.0337 memory: 24011 grad_norm: 5.2699 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.4964 loss: 0.4964 2022/08/05 10:54:52 - mmengine - INFO - Epoch(train) [99][500/940] lr: 1.0000e-04 eta: 0:14:31 time: 0.6113 data_time: 0.0320 memory: 24011 grad_norm: 5.5852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5162 loss: 0.5162 2022/08/05 10:55:05 - mmengine - INFO - Epoch(train) [99][520/940] lr: 1.0000e-04 eta: 0:14:18 time: 0.6408 data_time: 0.0452 memory: 24011 grad_norm: 5.4541 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5785 loss: 0.5785 2022/08/05 10:55:17 - mmengine - INFO - Epoch(train) [99][540/940] lr: 1.0000e-04 eta: 0:14:06 time: 0.5903 data_time: 0.0367 memory: 24011 grad_norm: 5.2914 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5941 loss: 0.5941 2022/08/05 10:55:29 - mmengine - INFO - Epoch(train) [99][560/940] lr: 1.0000e-04 eta: 0:13:53 time: 0.6195 data_time: 0.0337 memory: 24011 grad_norm: 5.2574 top1_acc: 0.8125 top5_acc: 0.9062 loss_cls: 0.5618 loss: 0.5618 2022/08/05 10:55:42 - mmengine - INFO - Epoch(train) [99][580/940] lr: 1.0000e-04 eta: 0:13:40 time: 0.6291 data_time: 0.0329 memory: 24011 grad_norm: 5.2430 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5745 loss: 0.5745 2022/08/05 10:55:54 - mmengine - INFO - Epoch(train) [99][600/940] lr: 1.0000e-04 eta: 0:13:28 time: 0.6236 data_time: 0.0361 memory: 24011 grad_norm: 5.6521 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5199 loss: 0.5199 2022/08/05 10:56:07 - mmengine - INFO - Epoch(train) [99][620/940] lr: 1.0000e-04 eta: 0:13:15 time: 0.6211 data_time: 0.0509 memory: 24011 grad_norm: 5.2839 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4932 loss: 0.4932 2022/08/05 10:56:19 - mmengine - INFO - Epoch(train) [99][640/940] lr: 1.0000e-04 eta: 0:13:03 time: 0.5988 data_time: 0.0344 memory: 24011 grad_norm: 5.6209 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6022 loss: 0.6022 2022/08/05 10:56:32 - mmengine - INFO - Epoch(train) [99][660/940] lr: 1.0000e-04 eta: 0:12:50 time: 0.6508 data_time: 0.0565 memory: 24011 grad_norm: 5.2862 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.4824 loss: 0.4824 2022/08/05 10:56:44 - mmengine - INFO - Epoch(train) [99][680/940] lr: 1.0000e-04 eta: 0:12:37 time: 0.6336 data_time: 0.0323 memory: 24011 grad_norm: 5.3830 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5303 loss: 0.5303 2022/08/05 10:56:57 - mmengine - INFO - Epoch(train) [99][700/940] lr: 1.0000e-04 eta: 0:12:25 time: 0.6247 data_time: 0.0395 memory: 24011 grad_norm: 5.7135 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5569 loss: 0.5569 2022/08/05 10:57:09 - mmengine - INFO - Epoch(train) [99][720/940] lr: 1.0000e-04 eta: 0:12:12 time: 0.6292 data_time: 0.0326 memory: 24011 grad_norm: 5.4664 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5994 loss: 0.5994 2022/08/05 10:57:22 - mmengine - INFO - Epoch(train) [99][740/940] lr: 1.0000e-04 eta: 0:11:59 time: 0.6018 data_time: 0.0370 memory: 24011 grad_norm: 5.5551 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4666 loss: 0.4666 2022/08/05 10:57:34 - mmengine - INFO - Epoch(train) [99][760/940] lr: 1.0000e-04 eta: 0:11:47 time: 0.6125 data_time: 0.0389 memory: 24011 grad_norm: 5.3053 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5188 loss: 0.5188 2022/08/05 10:57:46 - mmengine - INFO - Epoch(train) [99][780/940] lr: 1.0000e-04 eta: 0:11:34 time: 0.6137 data_time: 0.0368 memory: 24011 grad_norm: 5.8454 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4789 loss: 0.4789 2022/08/05 10:57:59 - mmengine - INFO - Epoch(train) [99][800/940] lr: 1.0000e-04 eta: 0:11:21 time: 0.6441 data_time: 0.0343 memory: 24011 grad_norm: 5.3038 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5642 loss: 0.5642 2022/08/05 10:58:12 - mmengine - INFO - Epoch(train) [99][820/940] lr: 1.0000e-04 eta: 0:11:09 time: 0.6461 data_time: 0.0360 memory: 24011 grad_norm: 5.0649 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4864 loss: 0.4864 2022/08/05 10:58:24 - mmengine - INFO - Epoch(train) [99][840/940] lr: 1.0000e-04 eta: 0:10:56 time: 0.6081 data_time: 0.0408 memory: 24011 grad_norm: 5.1231 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4836 loss: 0.4836 2022/08/05 10:58:36 - mmengine - INFO - Epoch(train) [99][860/940] lr: 1.0000e-04 eta: 0:10:44 time: 0.5868 data_time: 0.0322 memory: 24011 grad_norm: 5.1868 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5482 loss: 0.5482 2022/08/05 10:58:49 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:58:49 - mmengine - INFO - Epoch(train) [99][880/940] lr: 1.0000e-04 eta: 0:10:31 time: 0.6538 data_time: 0.0630 memory: 24011 grad_norm: 5.2560 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.5462 loss: 0.5462 2022/08/05 10:59:01 - mmengine - INFO - Epoch(train) [99][900/940] lr: 1.0000e-04 eta: 0:10:18 time: 0.5908 data_time: 0.0324 memory: 24011 grad_norm: 5.0084 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.4960 loss: 0.4960 2022/08/05 10:59:15 - mmengine - INFO - Epoch(train) [99][920/940] lr: 1.0000e-04 eta: 0:10:06 time: 0.6914 data_time: 0.0369 memory: 24011 grad_norm: 5.6385 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.4711 loss: 0.4711 2022/08/05 10:59:25 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 10:59:25 - mmengine - INFO - Epoch(train) [99][940/940] lr: 1.0000e-04 eta: 0:09:53 time: 0.5380 data_time: 0.0249 memory: 24011 grad_norm: 5.4176 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5308 loss: 0.5308 2022/08/05 10:59:25 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/08/05 10:59:44 - mmengine - INFO - Epoch(val) [99][20/78] eta: 0:00:38 time: 0.6716 data_time: 0.5213 memory: 3625 2022/08/05 10:59:53 - mmengine - INFO - Epoch(val) [99][40/78] eta: 0:00:16 time: 0.4405 data_time: 0.2913 memory: 3625 2022/08/05 11:00:05 - mmengine - INFO - Epoch(val) [99][60/78] eta: 0:00:11 time: 0.6134 data_time: 0.4617 memory: 3625 2022/08/05 11:00:14 - mmengine - INFO - Epoch(val) [99][78/78] acc/top1: 0.7416 acc/top5: 0.9072 acc/mean1: 0.7414 2022/08/05 11:00:32 - mmengine - INFO - Epoch(train) [100][20/940] lr: 1.0000e-04 eta: 0:09:40 time: 0.8818 data_time: 0.2363 memory: 24011 grad_norm: 5.2486 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.4914 loss: 0.4914 2022/08/05 11:00:44 - mmengine - INFO - Epoch(train) [100][40/940] lr: 1.0000e-04 eta: 0:09:28 time: 0.6114 data_time: 0.0302 memory: 24011 grad_norm: 5.0434 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.5667 loss: 0.5667 2022/08/05 11:00:58 - mmengine - INFO - Epoch(train) [100][60/940] lr: 1.0000e-04 eta: 0:09:15 time: 0.6737 data_time: 0.0366 memory: 24011 grad_norm: 5.4056 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5109 loss: 0.5109 2022/08/05 11:01:10 - mmengine - INFO - Epoch(train) [100][80/940] lr: 1.0000e-04 eta: 0:09:03 time: 0.6069 data_time: 0.0375 memory: 24011 grad_norm: 5.7116 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5132 loss: 0.5132 2022/08/05 11:01:23 - mmengine - INFO - Epoch(train) [100][100/940] lr: 1.0000e-04 eta: 0:08:50 time: 0.6273 data_time: 0.0359 memory: 24011 grad_norm: 5.1412 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5041 loss: 0.5041 2022/08/05 11:01:35 - mmengine - INFO - Epoch(train) [100][120/940] lr: 1.0000e-04 eta: 0:08:37 time: 0.5985 data_time: 0.0282 memory: 24011 grad_norm: 5.3839 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5054 loss: 0.5054 2022/08/05 11:01:47 - mmengine - INFO - Epoch(train) [100][140/940] lr: 1.0000e-04 eta: 0:08:25 time: 0.6333 data_time: 0.0447 memory: 24011 grad_norm: 5.5790 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5702 loss: 0.5702 2022/08/05 11:02:00 - mmengine - INFO - Epoch(train) [100][160/940] lr: 1.0000e-04 eta: 0:08:12 time: 0.6243 data_time: 0.0350 memory: 24011 grad_norm: 5.1053 top1_acc: 0.7812 top5_acc: 0.8750 loss_cls: 0.5574 loss: 0.5574 2022/08/05 11:02:12 - mmengine - INFO - Epoch(train) [100][180/940] lr: 1.0000e-04 eta: 0:07:59 time: 0.6336 data_time: 0.0319 memory: 24011 grad_norm: 7.6167 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.5508 loss: 0.5508 2022/08/05 11:02:25 - mmengine - INFO - Epoch(train) [100][200/940] lr: 1.0000e-04 eta: 0:07:47 time: 0.6119 data_time: 0.0400 memory: 24011 grad_norm: 5.8380 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5294 loss: 0.5294 2022/08/05 11:02:37 - mmengine - INFO - Epoch(train) [100][220/940] lr: 1.0000e-04 eta: 0:07:34 time: 0.6221 data_time: 0.0363 memory: 24011 grad_norm: 5.1811 top1_acc: 0.7812 top5_acc: 0.9688 loss_cls: 0.5099 loss: 0.5099 2022/08/05 11:02:50 - mmengine - INFO - Epoch(train) [100][240/940] lr: 1.0000e-04 eta: 0:07:22 time: 0.6317 data_time: 0.0534 memory: 24011 grad_norm: 5.1210 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5419 loss: 0.5419 2022/08/05 11:03:02 - mmengine - INFO - Epoch(train) [100][260/940] lr: 1.0000e-04 eta: 0:07:09 time: 0.6381 data_time: 0.0358 memory: 24011 grad_norm: 5.5759 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5477 loss: 0.5477 2022/08/05 11:03:15 - mmengine - INFO - Epoch(train) [100][280/940] lr: 1.0000e-04 eta: 0:06:56 time: 0.6392 data_time: 0.0284 memory: 24011 grad_norm: 5.5742 top1_acc: 0.9375 top5_acc: 0.9688 loss_cls: 0.5174 loss: 0.5174 2022/08/05 11:03:28 - mmengine - INFO - Epoch(train) [100][300/940] lr: 1.0000e-04 eta: 0:06:44 time: 0.6283 data_time: 0.0362 memory: 24011 grad_norm: 5.6675 top1_acc: 0.8125 top5_acc: 0.9688 loss_cls: 0.4316 loss: 0.4316 2022/08/05 11:03:40 - mmengine - INFO - Epoch(train) [100][320/940] lr: 1.0000e-04 eta: 0:06:31 time: 0.6016 data_time: 0.0427 memory: 24011 grad_norm: 8.4084 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5249 loss: 0.5249 2022/08/05 11:03:53 - mmengine - INFO - Epoch(train) [100][340/940] lr: 1.0000e-04 eta: 0:06:18 time: 0.6540 data_time: 0.0740 memory: 24011 grad_norm: 5.6431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4939 loss: 0.4939 2022/08/05 11:04:05 - mmengine - INFO - Epoch(train) [100][360/940] lr: 1.0000e-04 eta: 0:06:06 time: 0.5835 data_time: 0.0273 memory: 24011 grad_norm: 5.2553 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6443 loss: 0.6443 2022/08/05 11:04:17 - mmengine - INFO - Epoch(train) [100][380/940] lr: 1.0000e-04 eta: 0:05:53 time: 0.6366 data_time: 0.0665 memory: 24011 grad_norm: 5.3845 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5203 loss: 0.5203 2022/08/05 11:04:30 - mmengine - INFO - Epoch(train) [100][400/940] lr: 1.0000e-04 eta: 0:05:41 time: 0.6317 data_time: 0.0302 memory: 24011 grad_norm: 5.0443 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5799 loss: 0.5799 2022/08/05 11:04:43 - mmengine - INFO - Epoch(train) [100][420/940] lr: 1.0000e-04 eta: 0:05:28 time: 0.6324 data_time: 0.0358 memory: 24011 grad_norm: 5.2143 top1_acc: 0.7812 top5_acc: 0.9375 loss_cls: 0.6619 loss: 0.6619 2022/08/05 11:04:55 - mmengine - INFO - Epoch(train) [100][440/940] lr: 1.0000e-04 eta: 0:05:15 time: 0.5966 data_time: 0.0340 memory: 24011 grad_norm: 6.4314 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5415 loss: 0.5415 2022/08/05 11:05:07 - mmengine - INFO - Epoch(train) [100][460/940] lr: 1.0000e-04 eta: 0:05:03 time: 0.6122 data_time: 0.0371 memory: 24011 grad_norm: 5.2346 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.4873 loss: 0.4873 2022/08/05 11:05:19 - mmengine - INFO - Epoch(train) [100][480/940] lr: 1.0000e-04 eta: 0:04:50 time: 0.6263 data_time: 0.0409 memory: 24011 grad_norm: 5.3083 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.5244 loss: 0.5244 2022/08/05 11:05:32 - mmengine - INFO - Epoch(train) [100][500/940] lr: 1.0000e-04 eta: 0:04:37 time: 0.6299 data_time: 0.0387 memory: 24011 grad_norm: 5.1044 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.5673 loss: 0.5673 2022/08/05 11:05:44 - mmengine - INFO - Epoch(train) [100][520/940] lr: 1.0000e-04 eta: 0:04:25 time: 0.6141 data_time: 0.0368 memory: 24011 grad_norm: 5.2931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5618 loss: 0.5618 2022/08/05 11:05:57 - mmengine - INFO - Epoch(train) [100][540/940] lr: 1.0000e-04 eta: 0:04:12 time: 0.6135 data_time: 0.0367 memory: 24011 grad_norm: 5.2530 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5210 loss: 0.5210 2022/08/05 11:06:09 - mmengine - INFO - Epoch(train) [100][560/940] lr: 1.0000e-04 eta: 0:03:59 time: 0.6062 data_time: 0.0361 memory: 24011 grad_norm: 5.1284 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5423 loss: 0.5423 2022/08/05 11:06:21 - mmengine - INFO - Epoch(train) [100][580/940] lr: 1.0000e-04 eta: 0:03:47 time: 0.6235 data_time: 0.0361 memory: 24011 grad_norm: 5.7802 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5872 loss: 0.5872 2022/08/05 11:06:34 - mmengine - INFO - Epoch(train) [100][600/940] lr: 1.0000e-04 eta: 0:03:34 time: 0.6461 data_time: 0.0310 memory: 24011 grad_norm: 5.6184 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5719 loss: 0.5719 2022/08/05 11:06:47 - mmengine - INFO - Epoch(train) [100][620/940] lr: 1.0000e-04 eta: 0:03:22 time: 0.6246 data_time: 0.0544 memory: 24011 grad_norm: 5.2995 top1_acc: 0.8438 top5_acc: 0.9375 loss_cls: 0.6306 loss: 0.6306 2022/08/05 11:06:59 - mmengine - INFO - Epoch(train) [100][640/940] lr: 1.0000e-04 eta: 0:03:09 time: 0.6283 data_time: 0.0344 memory: 24011 grad_norm: 5.1979 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.5172 loss: 0.5172 2022/08/05 11:07:11 - mmengine - INFO - Epoch(train) [100][660/940] lr: 1.0000e-04 eta: 0:02:56 time: 0.5900 data_time: 0.0423 memory: 24011 grad_norm: 5.4734 top1_acc: 0.8438 top5_acc: 0.9688 loss_cls: 0.6115 loss: 0.6115 2022/08/05 11:07:23 - mmengine - INFO - Epoch(train) [100][680/940] lr: 1.0000e-04 eta: 0:02:44 time: 0.6111 data_time: 0.0275 memory: 24011 grad_norm: 5.2043 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5646 loss: 0.5646 2022/08/05 11:07:35 - mmengine - INFO - Epoch(train) [100][700/940] lr: 1.0000e-04 eta: 0:02:31 time: 0.6096 data_time: 0.0397 memory: 24011 grad_norm: 5.6381 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4938 loss: 0.4938 2022/08/05 11:07:48 - mmengine - INFO - Epoch(train) [100][720/940] lr: 1.0000e-04 eta: 0:02:18 time: 0.6492 data_time: 0.0248 memory: 24011 grad_norm: 5.2991 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.4350 loss: 0.4350 2022/08/05 11:08:01 - mmengine - INFO - Epoch(train) [100][740/940] lr: 1.0000e-04 eta: 0:02:06 time: 0.6174 data_time: 0.0363 memory: 24011 grad_norm: 5.4163 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5451 loss: 0.5451 2022/08/05 11:08:14 - mmengine - INFO - Epoch(train) [100][760/940] lr: 1.0000e-04 eta: 0:01:53 time: 0.6785 data_time: 0.0302 memory: 24011 grad_norm: 5.3413 top1_acc: 0.8438 top5_acc: 0.9062 loss_cls: 0.5244 loss: 0.5244 2022/08/05 11:08:26 - mmengine - INFO - Epoch(train) [100][780/940] lr: 1.0000e-04 eta: 0:01:41 time: 0.5819 data_time: 0.0355 memory: 24011 grad_norm: 6.3020 top1_acc: 0.9062 top5_acc: 1.0000 loss_cls: 0.5481 loss: 0.5481 2022/08/05 11:08:39 - mmengine - INFO - Epoch(train) [100][800/940] lr: 1.0000e-04 eta: 0:01:28 time: 0.6279 data_time: 0.0413 memory: 24011 grad_norm: 5.3313 top1_acc: 0.9062 top5_acc: 0.9375 loss_cls: 0.5238 loss: 0.5238 2022/08/05 11:08:51 - mmengine - INFO - Epoch(train) [100][820/940] lr: 1.0000e-04 eta: 0:01:15 time: 0.6035 data_time: 0.0388 memory: 24011 grad_norm: 5.2320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5394 loss: 0.5394 2022/08/05 11:09:03 - mmengine - INFO - Epoch(train) [100][840/940] lr: 1.0000e-04 eta: 0:01:03 time: 0.6252 data_time: 0.0322 memory: 24011 grad_norm: 5.2142 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5405 loss: 0.5405 2022/08/05 11:09:15 - mmengine - INFO - Epoch(train) [100][860/940] lr: 1.0000e-04 eta: 0:00:50 time: 0.5999 data_time: 0.0413 memory: 24011 grad_norm: 5.5042 top1_acc: 0.7188 top5_acc: 0.9062 loss_cls: 0.5674 loss: 0.5674 2022/08/05 11:09:28 - mmengine - INFO - Epoch(train) [100][880/940] lr: 1.0000e-04 eta: 0:00:37 time: 0.6510 data_time: 0.0356 memory: 24011 grad_norm: 5.3827 top1_acc: 0.8750 top5_acc: 0.9688 loss_cls: 0.6011 loss: 0.6011 2022/08/05 11:09:41 - mmengine - INFO - Epoch(train) [100][900/940] lr: 1.0000e-04 eta: 0:00:25 time: 0.6451 data_time: 0.0387 memory: 24011 grad_norm: 5.7450 top1_acc: 0.8438 top5_acc: 1.0000 loss_cls: 0.5683 loss: 0.5683 2022/08/05 11:09:53 - mmengine - INFO - Epoch(train) [100][920/940] lr: 1.0000e-04 eta: 0:00:12 time: 0.5965 data_time: 0.0357 memory: 24011 grad_norm: 5.4001 top1_acc: 0.9062 top5_acc: 0.9688 loss_cls: 0.4643 loss: 0.4643 2022/08/05 11:10:04 - mmengine - INFO - Exp name: tsn_swin_transformer_video_320p_1x1x3_100e_kinetics400_rgb_20220804_171924 2022/08/05 11:10:04 - mmengine - INFO - Epoch(train) [100][940/940] lr: 1.0000e-04 eta: 0:00:00 time: 0.5470 data_time: 0.0263 memory: 24011 grad_norm: 5.7972 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.6277 loss: 0.6277 2022/08/05 11:10:04 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/05 11:10:22 - mmengine - INFO - Epoch(val) [100][20/78] eta: 0:00:38 time: 0.6705 data_time: 0.5166 memory: 3625 2022/08/05 11:10:31 - mmengine - INFO - Epoch(val) [100][40/78] eta: 0:00:16 time: 0.4408 data_time: 0.2805 memory: 3625 2022/08/05 11:10:44 - mmengine - INFO - Epoch(val) [100][60/78] eta: 0:00:11 time: 0.6125 data_time: 0.4531 memory: 3625 2022/08/05 11:10:53 - mmengine - INFO - Epoch(val) [100][78/78] acc/top1: 0.7401 acc/top5: 0.9074 acc/mean1: 0.7400