2022/08/05 14:35:07 - mmengine - INFO - Load checkpoint from https://download.openmmlab.com/mmaction/skeleton/posec3d/k400_posec3d-041f49c6.pth 2022/08/05 14:35:07 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint by HardDiskBackend. 2022/08/05 14:35:17 - mmengine - INFO - Epoch(train) [1][20/279] lr: 1.0000e-02 eta: 0:26:41 time: 0.4813 data_time: 0.1339 memory: 5963 grad_norm: 1.9718 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.6766 loss: 3.6766 2022/08/05 14:35:22 - mmengine - INFO - Epoch(train) [1][40/279] lr: 1.0000e-02 eta: 0:19:43 time: 0.2341 data_time: 0.0356 memory: 5963 grad_norm: 2.0526 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8190 loss: 2.8190 2022/08/05 14:35:27 - mmengine - INFO - Epoch(train) [1][60/279] lr: 1.0000e-02 eta: 0:17:32 time: 0.2451 data_time: 0.0300 memory: 5963 grad_norm: 2.0902 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9877 loss: 1.9877 2022/08/05 14:35:31 - mmengine - INFO - Epoch(train) [1][80/279] lr: 1.0000e-02 eta: 0:16:13 time: 0.2308 data_time: 0.0324 memory: 5963 grad_norm: 2.1585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4383 loss: 1.4383 2022/08/05 14:35:36 - mmengine - INFO - Epoch(train) [1][100/279] lr: 1.0000e-02 eta: 0:15:24 time: 0.2315 data_time: 0.0337 memory: 5963 grad_norm: 2.2880 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3056 loss: 1.3056 2022/08/05 14:35:41 - mmengine - INFO - Epoch(train) [1][120/279] lr: 1.0000e-02 eta: 0:14:49 time: 0.2295 data_time: 0.0292 memory: 5963 grad_norm: 2.4246 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2583 loss: 1.2583 2022/08/05 14:35:45 - mmengine - INFO - Epoch(train) [1][140/279] lr: 1.0000e-02 eta: 0:14:26 time: 0.2384 data_time: 0.0328 memory: 5963 grad_norm: 2.4109 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9770 loss: 0.9770 2022/08/05 14:35:50 - mmengine - INFO - Epoch(train) [1][160/279] lr: 1.0000e-02 eta: 0:14:05 time: 0.2305 data_time: 0.0338 memory: 5963 grad_norm: 2.6487 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9643 loss: 0.9643 2022/08/05 14:35:55 - mmengine - INFO - Epoch(train) [1][180/279] lr: 1.0000e-02 eta: 0:13:47 time: 0.2308 data_time: 0.0294 memory: 5963 grad_norm: 2.6299 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9036 loss: 0.9036 2022/08/05 14:35:59 - mmengine - INFO - Epoch(train) [1][200/279] lr: 1.0000e-02 eta: 0:13:33 time: 0.2317 data_time: 0.0311 memory: 5963 grad_norm: 2.6750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7667 loss: 0.7667 2022/08/05 14:36:04 - mmengine - INFO - Epoch(train) [1][220/279] lr: 1.0000e-02 eta: 0:13:20 time: 0.2319 data_time: 0.0348 memory: 5963 grad_norm: 2.5979 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7478 loss: 0.7478 2022/08/05 14:36:08 - mmengine - INFO - Epoch(train) [1][240/279] lr: 1.0000e-02 eta: 0:13:09 time: 0.2314 data_time: 0.0305 memory: 5963 grad_norm: 2.8201 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6249 loss: 0.6249 2022/08/05 14:36:13 - mmengine - INFO - Epoch(train) [1][260/279] lr: 1.0000e-02 eta: 0:12:58 time: 0.2296 data_time: 0.0321 memory: 5963 grad_norm: 2.6093 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6855 loss: 0.6855 2022/08/05 14:36:17 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:36:17 - mmengine - INFO - Epoch(train) [1][279/279] lr: 1.0000e-02 eta: 0:12:58 time: 0.2154 data_time: 0.0325 memory: 5963 grad_norm: 2.7750 top1_acc: 0.7333 top5_acc: 1.0000 loss_cls: 0.6075 loss: 0.6075 2022/08/05 14:36:17 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/08/05 14:36:22 - mmengine - INFO - Epoch(val) [1][12/12] acc/top1: 0.6706 acc/top5: 0.9137 acc/mean1: 0.6706 2022/08/05 14:36:23 - mmengine - INFO - The best checkpoint with 0.6706 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/05 14:36:28 - mmengine - INFO - Epoch(train) [2][20/279] lr: 1.0000e-02 eta: 0:12:06 time: 0.2867 data_time: 0.0752 memory: 5963 grad_norm: 2.6647 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5719 loss: 0.5719 2022/08/05 14:36:33 - mmengine - INFO - Epoch(train) [2][40/279] lr: 1.0000e-02 eta: 0:12:00 time: 0.2309 data_time: 0.0338 memory: 5963 grad_norm: 2.7419 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5170 loss: 0.5170 2022/08/05 14:36:38 - mmengine - INFO - Epoch(train) [2][60/279] lr: 1.0000e-02 eta: 0:11:54 time: 0.2307 data_time: 0.0294 memory: 5963 grad_norm: 2.8835 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4902 loss: 0.4902 2022/08/05 14:36:42 - mmengine - INFO - Epoch(train) [2][80/279] lr: 1.0000e-02 eta: 0:11:48 time: 0.2313 data_time: 0.0291 memory: 5963 grad_norm: 2.7140 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4351 loss: 0.4351 2022/08/05 14:36:47 - mmengine - INFO - Epoch(train) [2][100/279] lr: 1.0000e-02 eta: 0:11:42 time: 0.2288 data_time: 0.0307 memory: 5963 grad_norm: 2.9257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4218 loss: 0.4218 2022/08/05 14:36:51 - mmengine - INFO - Epoch(train) [2][120/279] lr: 1.0000e-02 eta: 0:11:37 time: 0.2301 data_time: 0.0322 memory: 5963 grad_norm: 2.8698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4354 loss: 0.4354 2022/08/05 14:36:56 - mmengine - INFO - Epoch(train) [2][140/279] lr: 1.0000e-02 eta: 0:11:31 time: 0.2318 data_time: 0.0309 memory: 5963 grad_norm: 2.5900 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3357 loss: 0.3357 2022/08/05 14:37:01 - mmengine - INFO - Epoch(train) [2][160/279] lr: 1.0000e-02 eta: 0:11:26 time: 0.2292 data_time: 0.0347 memory: 5963 grad_norm: 2.6698 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3259 loss: 0.3259 2022/08/05 14:37:05 - mmengine - INFO - Epoch(train) [2][180/279] lr: 1.0000e-02 eta: 0:11:20 time: 0.2275 data_time: 0.0315 memory: 5963 grad_norm: 2.7298 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3500 loss: 0.3500 2022/08/05 14:37:10 - mmengine - INFO - Epoch(train) [2][200/279] lr: 1.0000e-02 eta: 0:11:14 time: 0.2290 data_time: 0.0317 memory: 5963 grad_norm: 2.6670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2991 loss: 0.2991 2022/08/05 14:37:14 - mmengine - INFO - Epoch(train) [2][220/279] lr: 1.0000e-02 eta: 0:11:09 time: 0.2290 data_time: 0.0317 memory: 5963 grad_norm: 2.6545 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3170 loss: 0.3170 2022/08/05 14:37:19 - mmengine - INFO - Epoch(train) [2][240/279] lr: 1.0000e-02 eta: 0:11:05 time: 0.2428 data_time: 0.0338 memory: 5963 grad_norm: 2.7677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2700 loss: 0.2700 2022/08/05 14:37:24 - mmengine - INFO - Epoch(train) [2][260/279] lr: 1.0000e-02 eta: 0:11:00 time: 0.2318 data_time: 0.0326 memory: 5963 grad_norm: 2.4834 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3021 loss: 0.3021 2022/08/05 14:37:28 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:37:28 - mmengine - INFO - Epoch(train) [2][279/279] lr: 1.0000e-02 eta: 0:11:00 time: 0.2162 data_time: 0.0325 memory: 5963 grad_norm: 2.4917 top1_acc: 0.8667 top5_acc: 1.0000 loss_cls: 0.2353 loss: 0.2353 2022/08/05 14:37:28 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/08/05 14:37:32 - mmengine - INFO - Epoch(val) [2][12/12] acc/top1: 0.6686 acc/top5: 0.9026 acc/mean1: 0.6686 2022/08/05 14:37:39 - mmengine - INFO - Epoch(train) [3][20/279] lr: 1.0000e-02 eta: 0:10:37 time: 0.3159 data_time: 0.0780 memory: 5963 grad_norm: 2.2935 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1817 loss: 0.1817 2022/08/05 14:37:43 - mmengine - INFO - Epoch(train) [3][40/279] lr: 1.0000e-02 eta: 0:10:33 time: 0.2305 data_time: 0.0335 memory: 5963 grad_norm: 2.5404 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2453 loss: 0.2453 2022/08/05 14:37:48 - mmengine - INFO - Epoch(train) [3][60/279] lr: 1.0000e-02 eta: 0:10:28 time: 0.2329 data_time: 0.0289 memory: 5963 grad_norm: 2.3591 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1772 loss: 0.1772 2022/08/05 14:37:53 - mmengine - INFO - Epoch(train) [3][80/279] lr: 1.0000e-02 eta: 0:10:23 time: 0.2285 data_time: 0.0326 memory: 5963 grad_norm: 2.4014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1919 loss: 0.1919 2022/08/05 14:37:57 - mmengine - INFO - Epoch(train) [3][100/279] lr: 1.0000e-02 eta: 0:10:19 time: 0.2268 data_time: 0.0315 memory: 5963 grad_norm: 2.3836 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1668 loss: 0.1668 2022/08/05 14:38:02 - mmengine - INFO - Epoch(train) [3][120/279] lr: 1.0000e-02 eta: 0:10:14 time: 0.2286 data_time: 0.0305 memory: 5963 grad_norm: 2.5402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1613 loss: 0.1613 2022/08/05 14:38:06 - mmengine - INFO - Epoch(train) [3][140/279] lr: 1.0000e-02 eta: 0:10:09 time: 0.2327 data_time: 0.0328 memory: 5963 grad_norm: 2.4263 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1594 loss: 0.1594 2022/08/05 14:38:11 - mmengine - INFO - Epoch(train) [3][160/279] lr: 1.0000e-02 eta: 0:10:05 time: 0.2313 data_time: 0.0318 memory: 5963 grad_norm: 2.2285 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1200 loss: 0.1200 2022/08/05 14:38:16 - mmengine - INFO - Epoch(train) [3][180/279] lr: 1.0000e-02 eta: 0:10:00 time: 0.2308 data_time: 0.0316 memory: 5963 grad_norm: 2.2387 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1495 loss: 0.1495 2022/08/05 14:38:20 - mmengine - INFO - Epoch(train) [3][200/279] lr: 1.0000e-02 eta: 0:09:56 time: 0.2289 data_time: 0.0319 memory: 5963 grad_norm: 2.1611 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0999 loss: 0.0999 2022/08/05 14:38:25 - mmengine - INFO - Epoch(train) [3][220/279] lr: 1.0000e-02 eta: 0:09:52 time: 0.2431 data_time: 0.0317 memory: 5963 grad_norm: 2.2625 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1527 loss: 0.1527 2022/08/05 14:38:30 - mmengine - INFO - Epoch(train) [3][240/279] lr: 1.0000e-02 eta: 0:09:47 time: 0.2278 data_time: 0.0304 memory: 5963 grad_norm: 2.1223 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1285 loss: 0.1285 2022/08/05 14:38:34 - mmengine - INFO - Epoch(train) [3][260/279] lr: 1.0000e-02 eta: 0:09:42 time: 0.2273 data_time: 0.0308 memory: 5963 grad_norm: 2.1384 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1154 loss: 0.1154 2022/08/05 14:38:38 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:38:38 - mmengine - INFO - Epoch(train) [3][279/279] lr: 1.0000e-02 eta: 0:09:42 time: 0.2156 data_time: 0.0317 memory: 5963 grad_norm: 2.0875 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0836 loss: 0.0836 2022/08/05 14:38:38 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/05 14:38:42 - mmengine - INFO - Epoch(val) [3][12/12] acc/top1: 0.6588 acc/top5: 0.8902 acc/mean1: 0.6588 2022/08/05 14:38:49 - mmengine - INFO - Epoch(train) [4][20/279] lr: 1.0000e-02 eta: 0:09:25 time: 0.3102 data_time: 0.0843 memory: 5963 grad_norm: 1.9511 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1244 loss: 0.1244 2022/08/05 14:38:53 - mmengine - INFO - Epoch(train) [4][40/279] lr: 1.0000e-02 eta: 0:09:21 time: 0.2263 data_time: 0.0300 memory: 5963 grad_norm: 2.1169 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0714 loss: 0.0714 2022/08/05 14:38:58 - mmengine - INFO - Epoch(train) [4][60/279] lr: 1.0000e-02 eta: 0:09:16 time: 0.2331 data_time: 0.0312 memory: 5963 grad_norm: 1.9404 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1031 loss: 0.1031 2022/08/05 14:39:02 - mmengine - INFO - Epoch(train) [4][80/279] lr: 1.0000e-02 eta: 0:09:12 time: 0.2255 data_time: 0.0290 memory: 5963 grad_norm: 2.1743 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0950 loss: 0.0950 2022/08/05 14:39:07 - mmengine - INFO - Epoch(train) [4][100/279] lr: 1.0000e-02 eta: 0:09:07 time: 0.2271 data_time: 0.0307 memory: 5963 grad_norm: 2.1245 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0673 loss: 0.0673 2022/08/05 14:39:12 - mmengine - INFO - Epoch(train) [4][120/279] lr: 1.0000e-02 eta: 0:09:03 time: 0.2280 data_time: 0.0315 memory: 5963 grad_norm: 1.9608 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0836 loss: 0.0836 2022/08/05 14:39:17 - mmengine - INFO - Epoch(train) [4][140/279] lr: 1.0000e-02 eta: 0:08:59 time: 0.2482 data_time: 0.0373 memory: 5963 grad_norm: 2.2772 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1313 loss: 0.1313 2022/08/05 14:39:21 - mmengine - INFO - Epoch(train) [4][160/279] lr: 1.0000e-02 eta: 0:08:55 time: 0.2310 data_time: 0.0348 memory: 5963 grad_norm: 2.0513 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0975 loss: 0.0975 2022/08/05 14:39:22 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:39:26 - mmengine - INFO - Epoch(train) [4][180/279] lr: 1.0000e-02 eta: 0:08:50 time: 0.2298 data_time: 0.0306 memory: 5963 grad_norm: 1.9347 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0762 loss: 0.0762 2022/08/05 14:39:30 - mmengine - INFO - Epoch(train) [4][200/279] lr: 1.0000e-02 eta: 0:08:46 time: 0.2264 data_time: 0.0320 memory: 5963 grad_norm: 1.7886 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0634 loss: 0.0634 2022/08/05 14:39:35 - mmengine - INFO - Epoch(train) [4][220/279] lr: 1.0000e-02 eta: 0:08:42 time: 0.2360 data_time: 0.0326 memory: 5963 grad_norm: 1.9655 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0879 loss: 0.0879 2022/08/05 14:39:40 - mmengine - INFO - Epoch(train) [4][240/279] lr: 1.0000e-02 eta: 0:08:37 time: 0.2316 data_time: 0.0304 memory: 5963 grad_norm: 1.9594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0820 loss: 0.0820 2022/08/05 14:39:44 - mmengine - INFO - Epoch(train) [4][260/279] lr: 1.0000e-02 eta: 0:08:32 time: 0.2241 data_time: 0.0277 memory: 5963 grad_norm: 1.8506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1117 loss: 0.1117 2022/08/05 14:39:48 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:39:48 - mmengine - INFO - Epoch(train) [4][279/279] lr: 1.0000e-02 eta: 0:08:32 time: 0.2127 data_time: 0.0295 memory: 5963 grad_norm: 2.0820 top1_acc: 0.9333 top5_acc: 1.0000 loss_cls: 0.0818 loss: 0.0818 2022/08/05 14:39:48 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/05 14:39:53 - mmengine - INFO - Epoch(val) [4][12/12] acc/top1: 0.6732 acc/top5: 0.9046 acc/mean1: 0.6732 2022/08/05 14:39:53 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint/best_acc/top1_epoch_2.pth is removed 2022/08/05 14:39:53 - mmengine - INFO - The best checkpoint with 0.6732 acc/top1 at 5 epoch is saved to best_acc/top1_epoch_5.pth. 2022/08/05 14:39:59 - mmengine - INFO - Epoch(train) [5][20/279] lr: 1.0000e-02 eta: 0:08:18 time: 0.2898 data_time: 0.0794 memory: 5963 grad_norm: 2.2143 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0990 loss: 0.0990 2022/08/05 14:40:04 - mmengine - INFO - Epoch(train) [5][40/279] lr: 1.0000e-02 eta: 0:08:13 time: 0.2252 data_time: 0.0290 memory: 5963 grad_norm: 2.3943 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0847 loss: 0.0847 2022/08/05 14:40:08 - mmengine - INFO - Epoch(train) [5][60/279] lr: 1.0000e-02 eta: 0:08:09 time: 0.2370 data_time: 0.0311 memory: 5963 grad_norm: 1.9008 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0551 loss: 0.0551 2022/08/05 14:40:13 - mmengine - INFO - Epoch(train) [5][80/279] lr: 1.0000e-02 eta: 0:08:05 time: 0.2295 data_time: 0.0311 memory: 5963 grad_norm: 1.9850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0867 loss: 0.0867 2022/08/05 14:40:18 - mmengine - INFO - Epoch(train) [5][100/279] lr: 1.0000e-02 eta: 0:08:00 time: 0.2299 data_time: 0.0352 memory: 5963 grad_norm: 1.5940 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0706 loss: 0.0706 2022/08/05 14:40:22 - mmengine - INFO - Epoch(train) [5][120/279] lr: 1.0000e-02 eta: 0:07:56 time: 0.2321 data_time: 0.0314 memory: 5963 grad_norm: 1.6901 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0627 loss: 0.0627 2022/08/05 14:40:27 - mmengine - INFO - Epoch(train) [5][140/279] lr: 1.0000e-02 eta: 0:07:52 time: 0.2316 data_time: 0.0328 memory: 5963 grad_norm: 1.8768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0613 loss: 0.0613 2022/08/05 14:40:31 - mmengine - INFO - Epoch(train) [5][160/279] lr: 1.0000e-02 eta: 0:07:47 time: 0.2287 data_time: 0.0282 memory: 5963 grad_norm: 1.9429 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0664 loss: 0.0664 2022/08/05 14:40:36 - mmengine - INFO - Epoch(train) [5][180/279] lr: 1.0000e-02 eta: 0:07:43 time: 0.2323 data_time: 0.0308 memory: 5963 grad_norm: 1.5321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0716 loss: 0.0716 2022/08/05 14:40:41 - mmengine - INFO - Epoch(train) [5][200/279] lr: 1.0000e-02 eta: 0:07:38 time: 0.2281 data_time: 0.0325 memory: 5963 grad_norm: 1.7568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0644 loss: 0.0644 2022/08/05 14:40:45 - mmengine - INFO - Epoch(train) [5][220/279] lr: 1.0000e-02 eta: 0:07:34 time: 0.2320 data_time: 0.0334 memory: 5963 grad_norm: 1.6537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0536 loss: 0.0536 2022/08/05 14:40:50 - mmengine - INFO - Epoch(train) [5][240/279] lr: 1.0000e-02 eta: 0:07:30 time: 0.2287 data_time: 0.0311 memory: 5963 grad_norm: 1.5570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0649 loss: 0.0649 2022/08/05 14:40:54 - mmengine - INFO - Epoch(train) [5][260/279] lr: 1.0000e-02 eta: 0:07:25 time: 0.2302 data_time: 0.0294 memory: 5963 grad_norm: 1.9172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0506 loss: 0.0506 2022/08/05 14:40:59 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:40:59 - mmengine - INFO - Epoch(train) [5][279/279] lr: 1.0000e-02 eta: 0:07:25 time: 0.2164 data_time: 0.0299 memory: 5963 grad_norm: 1.7219 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0407 loss: 0.0407 2022/08/05 14:40:59 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/08/05 14:41:03 - mmengine - INFO - Epoch(val) [5][12/12] acc/top1: 0.6778 acc/top5: 0.8980 acc/mean1: 0.6778 2022/08/05 14:41:03 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint/best_acc/top1_epoch_5.pth is removed 2022/08/05 14:41:04 - mmengine - INFO - The best checkpoint with 0.6778 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/05 14:41:10 - mmengine - INFO - Epoch(train) [6][20/279] lr: 1.0000e-02 eta: 0:07:13 time: 0.2973 data_time: 0.0933 memory: 5963 grad_norm: 1.7494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0518 loss: 0.0518 2022/08/05 14:41:14 - mmengine - INFO - Epoch(train) [6][40/279] lr: 1.0000e-02 eta: 0:07:08 time: 0.2286 data_time: 0.0317 memory: 5963 grad_norm: 1.7716 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.0639 loss: 0.0639 2022/08/05 14:41:19 - mmengine - INFO - Epoch(train) [6][60/279] lr: 1.0000e-02 eta: 0:07:04 time: 0.2310 data_time: 0.0314 memory: 5963 grad_norm: 1.8179 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0565 loss: 0.0565 2022/08/05 14:41:23 - mmengine - INFO - Epoch(train) [6][80/279] lr: 1.0000e-02 eta: 0:06:59 time: 0.2259 data_time: 0.0301 memory: 5963 grad_norm: 1.8562 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0536 loss: 0.0536 2022/08/05 14:41:28 - mmengine - INFO - Epoch(train) [6][100/279] lr: 1.0000e-02 eta: 0:06:55 time: 0.2285 data_time: 0.0331 memory: 5963 grad_norm: 1.6095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0372 loss: 0.0372 2022/08/05 14:41:32 - mmengine - INFO - Epoch(train) [6][120/279] lr: 1.0000e-02 eta: 0:06:51 time: 0.2305 data_time: 0.0345 memory: 5963 grad_norm: 1.6678 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0974 loss: 0.0974 2022/08/05 14:41:38 - mmengine - INFO - Epoch(train) [6][140/279] lr: 1.0000e-02 eta: 0:06:47 time: 0.2521 data_time: 0.0324 memory: 5963 grad_norm: 1.8373 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0656 loss: 0.0656 2022/08/05 14:41:42 - mmengine - INFO - Epoch(train) [6][160/279] lr: 1.0000e-02 eta: 0:06:43 time: 0.2309 data_time: 0.0342 memory: 5963 grad_norm: 1.6660 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0393 loss: 0.0393 2022/08/05 14:41:47 - mmengine - INFO - Epoch(train) [6][180/279] lr: 1.0000e-02 eta: 0:06:38 time: 0.2287 data_time: 0.0301 memory: 5963 grad_norm: 1.6011 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0437 loss: 0.0437 2022/08/05 14:41:51 - mmengine - INFO - Epoch(train) [6][200/279] lr: 1.0000e-02 eta: 0:06:34 time: 0.2264 data_time: 0.0294 memory: 5963 grad_norm: 1.3425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0434 loss: 0.0434 2022/08/05 14:41:56 - mmengine - INFO - Epoch(train) [6][220/279] lr: 1.0000e-02 eta: 0:06:30 time: 0.2389 data_time: 0.0327 memory: 5963 grad_norm: 1.5725 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0426 loss: 0.0426 2022/08/05 14:42:01 - mmengine - INFO - Epoch(train) [6][240/279] lr: 1.0000e-02 eta: 0:06:25 time: 0.2270 data_time: 0.0297 memory: 5963 grad_norm: 1.4682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0505 loss: 0.0505 2022/08/05 14:42:05 - mmengine - INFO - Epoch(train) [6][260/279] lr: 1.0000e-02 eta: 0:06:21 time: 0.2253 data_time: 0.0275 memory: 5963 grad_norm: 1.6280 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0351 loss: 0.0351 2022/08/05 14:42:09 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:42:09 - mmengine - INFO - Epoch(train) [6][279/279] lr: 1.0000e-02 eta: 0:06:21 time: 0.2129 data_time: 0.0287 memory: 5963 grad_norm: 1.7170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0592 loss: 0.0592 2022/08/05 14:42:09 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/05 14:42:14 - mmengine - INFO - Epoch(val) [6][12/12] acc/top1: 0.6314 acc/top5: 0.8601 acc/mean1: 0.6314 2022/08/05 14:42:20 - mmengine - INFO - Epoch(train) [7][20/279] lr: 1.0000e-02 eta: 0:06:09 time: 0.3124 data_time: 0.0771 memory: 5963 grad_norm: 1.7924 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0412 loss: 0.0412 2022/08/05 14:42:25 - mmengine - INFO - Epoch(train) [7][40/279] lr: 1.0000e-02 eta: 0:06:05 time: 0.2288 data_time: 0.0313 memory: 5963 grad_norm: 1.6967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0349 loss: 0.0349 2022/08/05 14:42:29 - mmengine - INFO - Epoch(train) [7][60/279] lr: 1.0000e-02 eta: 0:06:01 time: 0.2333 data_time: 0.0293 memory: 5963 grad_norm: 1.4594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0430 loss: 0.0430 2022/08/05 14:42:34 - mmengine - INFO - Epoch(train) [7][80/279] lr: 1.0000e-02 eta: 0:05:56 time: 0.2280 data_time: 0.0309 memory: 5963 grad_norm: 1.4007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0610 loss: 0.0610 2022/08/05 14:42:38 - mmengine - INFO - Epoch(train) [7][100/279] lr: 1.0000e-02 eta: 0:05:52 time: 0.2305 data_time: 0.0319 memory: 5963 grad_norm: 1.5477 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0364 loss: 0.0364 2022/08/05 14:42:43 - mmengine - INFO - Epoch(train) [7][120/279] lr: 1.0000e-02 eta: 0:05:48 time: 0.2318 data_time: 0.0341 memory: 5963 grad_norm: 1.7611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0426 loss: 0.0426 2022/08/05 14:42:48 - mmengine - INFO - Epoch(train) [7][140/279] lr: 1.0000e-02 eta: 0:05:43 time: 0.2340 data_time: 0.0321 memory: 5963 grad_norm: 1.5548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0386 loss: 0.0386 2022/08/05 14:42:52 - mmengine - INFO - Epoch(train) [7][160/279] lr: 1.0000e-02 eta: 0:05:39 time: 0.2295 data_time: 0.0318 memory: 5963 grad_norm: 1.4686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0350 loss: 0.0350 2022/08/05 14:42:57 - mmengine - INFO - Epoch(train) [7][180/279] lr: 1.0000e-02 eta: 0:05:34 time: 0.2278 data_time: 0.0329 memory: 5963 grad_norm: 1.1170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0275 loss: 0.0275 2022/08/05 14:43:02 - mmengine - INFO - Epoch(train) [7][200/279] lr: 1.0000e-02 eta: 0:05:30 time: 0.2306 data_time: 0.0305 memory: 5963 grad_norm: 1.4271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0316 loss: 0.0316 2022/08/05 14:43:06 - mmengine - INFO - Epoch(train) [7][220/279] lr: 1.0000e-02 eta: 0:05:26 time: 0.2407 data_time: 0.0320 memory: 5963 grad_norm: 1.2927 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0483 loss: 0.0483 2022/08/05 14:43:11 - mmengine - INFO - Epoch(train) [7][240/279] lr: 1.0000e-02 eta: 0:05:21 time: 0.2256 data_time: 0.0273 memory: 5963 grad_norm: 1.2080 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0327 loss: 0.0327 2022/08/05 14:43:15 - mmengine - INFO - Epoch(train) [7][260/279] lr: 1.0000e-02 eta: 0:05:17 time: 0.2272 data_time: 0.0297 memory: 5963 grad_norm: 1.7142 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0638 loss: 0.0638 2022/08/05 14:43:19 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:43:19 - mmengine - INFO - Epoch(train) [7][279/279] lr: 1.0000e-02 eta: 0:05:17 time: 0.2131 data_time: 0.0295 memory: 5963 grad_norm: 1.7739 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0430 loss: 0.0430 2022/08/05 14:43:19 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/08/05 14:43:24 - mmengine - INFO - Epoch(val) [7][12/12] acc/top1: 0.6641 acc/top5: 0.9059 acc/mean1: 0.6641 2022/08/05 14:43:30 - mmengine - INFO - Epoch(train) [8][20/279] lr: 1.0000e-02 eta: 0:05:07 time: 0.3299 data_time: 0.0765 memory: 5963 grad_norm: 1.6688 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0457 loss: 0.0457 2022/08/05 14:43:35 - mmengine - INFO - Epoch(train) [8][40/279] lr: 1.0000e-02 eta: 0:05:02 time: 0.2262 data_time: 0.0305 memory: 5963 grad_norm: 1.2356 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0195 loss: 0.0195 2022/08/05 14:43:37 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:43:40 - mmengine - INFO - Epoch(train) [8][60/279] lr: 1.0000e-02 eta: 0:04:58 time: 0.2359 data_time: 0.0327 memory: 5963 grad_norm: 1.3572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0261 loss: 0.0261 2022/08/05 14:43:44 - mmengine - INFO - Epoch(train) [8][80/279] lr: 1.0000e-02 eta: 0:04:53 time: 0.2254 data_time: 0.0297 memory: 5963 grad_norm: 1.1948 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0319 loss: 0.0319 2022/08/05 14:43:49 - mmengine - INFO - Epoch(train) [8][100/279] lr: 1.0000e-02 eta: 0:04:49 time: 0.2301 data_time: 0.0292 memory: 5963 grad_norm: 1.7566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0336 loss: 0.0336 2022/08/05 14:43:53 - mmengine - INFO - Epoch(train) [8][120/279] lr: 1.0000e-02 eta: 0:04:45 time: 0.2262 data_time: 0.0307 memory: 5963 grad_norm: 1.8126 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0538 loss: 0.0538 2022/08/05 14:43:58 - mmengine - INFO - Epoch(train) [8][140/279] lr: 1.0000e-02 eta: 0:04:40 time: 0.2402 data_time: 0.0298 memory: 5963 grad_norm: 1.7369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0350 loss: 0.0350 2022/08/05 14:44:03 - mmengine - INFO - Epoch(train) [8][160/279] lr: 1.0000e-02 eta: 0:04:36 time: 0.2256 data_time: 0.0302 memory: 5963 grad_norm: 1.5569 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0457 loss: 0.0457 2022/08/05 14:44:07 - mmengine - INFO - Epoch(train) [8][180/279] lr: 1.0000e-02 eta: 0:04:31 time: 0.2268 data_time: 0.0281 memory: 5963 grad_norm: 1.7143 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0331 loss: 0.0331 2022/08/05 14:44:12 - mmengine - INFO - Epoch(train) [8][200/279] lr: 1.0000e-02 eta: 0:04:27 time: 0.2254 data_time: 0.0264 memory: 5963 grad_norm: 1.7011 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0420 loss: 0.0420 2022/08/05 14:44:17 - mmengine - INFO - Epoch(train) [8][220/279] lr: 1.0000e-02 eta: 0:04:23 time: 0.2390 data_time: 0.0294 memory: 5963 grad_norm: 1.3641 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0288 loss: 0.0288 2022/08/05 14:44:21 - mmengine - INFO - Epoch(train) [8][240/279] lr: 1.0000e-02 eta: 0:04:18 time: 0.2275 data_time: 0.0336 memory: 5963 grad_norm: 1.6201 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0333 loss: 0.0333 2022/08/05 14:44:26 - mmengine - INFO - Epoch(train) [8][260/279] lr: 1.0000e-02 eta: 0:04:14 time: 0.2289 data_time: 0.0296 memory: 5963 grad_norm: 1.3846 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0579 loss: 0.0579 2022/08/05 14:44:30 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:44:30 - mmengine - INFO - Epoch(train) [8][279/279] lr: 1.0000e-02 eta: 0:04:14 time: 0.2110 data_time: 0.0274 memory: 5963 grad_norm: 1.3325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0494 loss: 0.0494 2022/08/05 14:44:30 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/05 14:44:34 - mmengine - INFO - Epoch(val) [8][12/12] acc/top1: 0.6641 acc/top5: 0.8908 acc/mean1: 0.6641 2022/08/05 14:44:40 - mmengine - INFO - Epoch(train) [9][20/279] lr: 1.0000e-02 eta: 0:04:04 time: 0.3184 data_time: 0.1039 memory: 5963 grad_norm: 1.3610 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0379 loss: 0.0379 2022/08/05 14:44:45 - mmengine - INFO - Epoch(train) [9][40/279] lr: 1.0000e-02 eta: 0:03:59 time: 0.2243 data_time: 0.0292 memory: 5963 grad_norm: 1.6589 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0675 loss: 0.0675 2022/08/05 14:44:50 - mmengine - INFO - Epoch(train) [9][60/279] lr: 1.0000e-02 eta: 0:03:55 time: 0.2326 data_time: 0.0286 memory: 5963 grad_norm: 1.3704 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0288 loss: 0.0288 2022/08/05 14:44:54 - mmengine - INFO - Epoch(train) [9][80/279] lr: 1.0000e-02 eta: 0:03:51 time: 0.2275 data_time: 0.0287 memory: 5963 grad_norm: 1.3461 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0253 loss: 0.0253 2022/08/05 14:44:59 - mmengine - INFO - Epoch(train) [9][100/279] lr: 1.0000e-02 eta: 0:03:46 time: 0.2318 data_time: 0.0326 memory: 5963 grad_norm: 1.1403 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0359 loss: 0.0359 2022/08/05 14:45:03 - mmengine - INFO - Epoch(train) [9][120/279] lr: 1.0000e-02 eta: 0:03:42 time: 0.2266 data_time: 0.0316 memory: 5963 grad_norm: 1.6595 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0462 loss: 0.0462 2022/08/05 14:45:11 - mmengine - INFO - Epoch(train) [9][140/279] lr: 1.0000e-02 eta: 0:03:39 time: 0.3656 data_time: 0.0311 memory: 5963 grad_norm: 1.2192 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0315 loss: 0.0315 2022/08/05 14:45:15 - mmengine - INFO - Epoch(train) [9][160/279] lr: 1.0000e-02 eta: 0:03:34 time: 0.2261 data_time: 0.0311 memory: 5963 grad_norm: 1.6828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0278 loss: 0.0278 2022/08/05 14:45:20 - mmengine - INFO - Epoch(train) [9][180/279] lr: 1.0000e-02 eta: 0:03:30 time: 0.2297 data_time: 0.0315 memory: 5963 grad_norm: 1.2795 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0392 loss: 0.0392 2022/08/05 14:45:24 - mmengine - INFO - Epoch(train) [9][200/279] lr: 1.0000e-02 eta: 0:03:25 time: 0.2276 data_time: 0.0280 memory: 5963 grad_norm: 1.1955 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0346 loss: 0.0346 2022/08/05 14:45:31 - mmengine - INFO - Epoch(train) [9][220/279] lr: 1.0000e-02 eta: 0:03:21 time: 0.3179 data_time: 0.0426 memory: 5963 grad_norm: 1.4378 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0244 loss: 0.0244 2022/08/05 14:45:35 - mmengine - INFO - Epoch(train) [9][240/279] lr: 1.0000e-02 eta: 0:03:17 time: 0.2296 data_time: 0.0300 memory: 5963 grad_norm: 1.5209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0357 loss: 0.0357 2022/08/05 14:45:40 - mmengine - INFO - Epoch(train) [9][260/279] lr: 1.0000e-02 eta: 0:03:12 time: 0.2270 data_time: 0.0330 memory: 5963 grad_norm: 1.5495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0294 loss: 0.0294 2022/08/05 14:45:44 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:45:44 - mmengine - INFO - Epoch(train) [9][279/279] lr: 1.0000e-02 eta: 0:03:12 time: 0.2103 data_time: 0.0302 memory: 5963 grad_norm: 1.3316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0328 loss: 0.0328 2022/08/05 14:45:44 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/05 14:45:48 - mmengine - INFO - Epoch(val) [9][12/12] acc/top1: 0.6673 acc/top5: 0.8908 acc/mean1: 0.6673 2022/08/05 14:45:54 - mmengine - INFO - Epoch(train) [10][20/279] lr: 1.0000e-03 eta: 0:03:03 time: 0.3169 data_time: 0.0742 memory: 5963 grad_norm: 1.2466 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0297 loss: 0.0297 2022/08/05 14:45:59 - mmengine - INFO - Epoch(train) [10][40/279] lr: 1.0000e-03 eta: 0:02:58 time: 0.2286 data_time: 0.0272 memory: 5963 grad_norm: 1.2520 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0106 loss: 0.0106 2022/08/05 14:46:03 - mmengine - INFO - Epoch(train) [10][60/279] lr: 1.0000e-03 eta: 0:02:54 time: 0.2254 data_time: 0.0290 memory: 5963 grad_norm: 0.9709 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0154 loss: 0.0154 2022/08/05 14:46:08 - mmengine - INFO - Epoch(train) [10][80/279] lr: 1.0000e-03 eta: 0:02:49 time: 0.2289 data_time: 0.0289 memory: 5963 grad_norm: 0.9240 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0344 loss: 0.0344 2022/08/05 14:46:13 - mmengine - INFO - Epoch(train) [10][100/279] lr: 1.0000e-03 eta: 0:02:45 time: 0.2268 data_time: 0.0294 memory: 5963 grad_norm: 0.9919 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0371 loss: 0.0371 2022/08/05 14:46:17 - mmengine - INFO - Epoch(train) [10][120/279] lr: 1.0000e-03 eta: 0:02:40 time: 0.2308 data_time: 0.0319 memory: 5963 grad_norm: 0.8865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0192 loss: 0.0192 2022/08/05 14:46:22 - mmengine - INFO - Epoch(train) [10][140/279] lr: 1.0000e-03 eta: 0:02:36 time: 0.2258 data_time: 0.0289 memory: 5963 grad_norm: 0.9206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0183 loss: 0.0183 2022/08/05 14:46:26 - mmengine - INFO - Epoch(train) [10][160/279] lr: 1.0000e-03 eta: 0:02:32 time: 0.2276 data_time: 0.0292 memory: 5963 grad_norm: 0.8503 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0147 loss: 0.0147 2022/08/05 14:46:31 - mmengine - INFO - Epoch(train) [10][180/279] lr: 1.0000e-03 eta: 0:02:27 time: 0.2305 data_time: 0.0330 memory: 5963 grad_norm: 0.8992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0136 loss: 0.0136 2022/08/05 14:46:35 - mmengine - INFO - Epoch(train) [10][200/279] lr: 1.0000e-03 eta: 0:02:23 time: 0.2285 data_time: 0.0307 memory: 5963 grad_norm: 0.7827 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0449 loss: 0.0449 2022/08/05 14:46:40 - mmengine - INFO - Epoch(train) [10][220/279] lr: 1.0000e-03 eta: 0:02:18 time: 0.2345 data_time: 0.0326 memory: 5963 grad_norm: 0.7004 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0112 loss: 0.0112 2022/08/05 14:46:45 - mmengine - INFO - Epoch(train) [10][240/279] lr: 1.0000e-03 eta: 0:02:14 time: 0.2264 data_time: 0.0317 memory: 5963 grad_norm: 0.8687 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0077 loss: 0.0077 2022/08/05 14:46:49 - mmengine - INFO - Epoch(train) [10][260/279] lr: 1.0000e-03 eta: 0:02:09 time: 0.2258 data_time: 0.0288 memory: 5963 grad_norm: 0.8559 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0478 loss: 0.0478 2022/08/05 14:46:53 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:46:53 - mmengine - INFO - Epoch(train) [10][279/279] lr: 1.0000e-03 eta: 0:02:09 time: 0.2121 data_time: 0.0272 memory: 5963 grad_norm: 0.7589 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0128 loss: 0.0128 2022/08/05 14:46:53 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/05 14:46:57 - mmengine - INFO - Epoch(val) [10][12/12] acc/top1: 0.6837 acc/top5: 0.8993 acc/mean1: 0.6837 2022/08/05 14:46:57 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint/best_acc/top1_epoch_6.pth is removed 2022/08/05 14:46:58 - mmengine - INFO - The best checkpoint with 0.6837 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/05 14:47:04 - mmengine - INFO - Epoch(train) [11][20/279] lr: 1.0000e-03 eta: 0:02:00 time: 0.2995 data_time: 0.0970 memory: 5963 grad_norm: 0.8334 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0244 loss: 0.0244 2022/08/05 14:47:08 - mmengine - INFO - Epoch(train) [11][40/279] lr: 1.0000e-03 eta: 0:01:55 time: 0.2285 data_time: 0.0324 memory: 5963 grad_norm: 0.8995 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0197 loss: 0.0197 2022/08/05 14:47:13 - mmengine - INFO - Epoch(train) [11][60/279] lr: 1.0000e-03 eta: 0:01:51 time: 0.2253 data_time: 0.0299 memory: 5963 grad_norm: 0.8695 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0293 loss: 0.0293 2022/08/05 14:47:18 - mmengine - INFO - Epoch(train) [11][80/279] lr: 1.0000e-03 eta: 0:01:47 time: 0.2415 data_time: 0.0283 memory: 5963 grad_norm: 0.8144 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0203 loss: 0.0203 2022/08/05 14:47:22 - mmengine - INFO - Epoch(train) [11][100/279] lr: 1.0000e-03 eta: 0:01:42 time: 0.2284 data_time: 0.0321 memory: 5963 grad_norm: 0.8851 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0280 loss: 0.0280 2022/08/05 14:47:27 - mmengine - INFO - Epoch(train) [11][120/279] lr: 1.0000e-03 eta: 0:01:38 time: 0.2286 data_time: 0.0303 memory: 5963 grad_norm: 1.0510 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0171 loss: 0.0171 2022/08/05 14:47:32 - mmengine - INFO - Epoch(train) [11][140/279] lr: 1.0000e-03 eta: 0:01:33 time: 0.2301 data_time: 0.0282 memory: 5963 grad_norm: 0.7030 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0267 loss: 0.0267 2022/08/05 14:47:36 - mmengine - INFO - Epoch(train) [11][160/279] lr: 1.0000e-03 eta: 0:01:29 time: 0.2311 data_time: 0.0302 memory: 5963 grad_norm: 0.8146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0226 loss: 0.0226 2022/08/05 14:47:41 - mmengine - INFO - Epoch(train) [11][180/279] lr: 1.0000e-03 eta: 0:01:24 time: 0.2251 data_time: 0.0310 memory: 5963 grad_norm: 1.0920 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0313 loss: 0.0313 2022/08/05 14:47:45 - mmengine - INFO - Epoch(train) [11][200/279] lr: 1.0000e-03 eta: 0:01:20 time: 0.2290 data_time: 0.0298 memory: 5963 grad_norm: 0.6961 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0126 loss: 0.0126 2022/08/05 14:47:48 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:47:50 - mmengine - INFO - Epoch(train) [11][220/279] lr: 1.0000e-03 eta: 0:01:15 time: 0.2335 data_time: 0.0325 memory: 5963 grad_norm: 0.7673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0164 loss: 0.0164 2022/08/05 14:47:54 - mmengine - INFO - Epoch(train) [11][240/279] lr: 1.0000e-03 eta: 0:01:11 time: 0.2281 data_time: 0.0288 memory: 5963 grad_norm: 0.7831 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0232 loss: 0.0232 2022/08/05 14:47:59 - mmengine - INFO - Epoch(train) [11][260/279] lr: 1.0000e-03 eta: 0:01:06 time: 0.2293 data_time: 0.0281 memory: 5963 grad_norm: 0.5990 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0093 loss: 0.0093 2022/08/05 14:48:03 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:48:03 - mmengine - INFO - Epoch(train) [11][279/279] lr: 1.0000e-03 eta: 0:01:06 time: 0.2120 data_time: 0.0313 memory: 5963 grad_norm: 0.6413 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0105 loss: 0.0105 2022/08/05 14:48:03 - mmengine - INFO - Saving checkpoint at 11 epochs 2022/08/05 14:48:07 - mmengine - INFO - Epoch(val) [11][12/12] acc/top1: 0.6837 acc/top5: 0.9033 acc/mean1: 0.6837 2022/08/05 14:48:14 - mmengine - INFO - Epoch(train) [12][20/279] lr: 1.0000e-04 eta: 0:00:57 time: 0.3104 data_time: 0.0676 memory: 5963 grad_norm: 0.7963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0212 loss: 0.0212 2022/08/05 14:48:18 - mmengine - INFO - Epoch(train) [12][40/279] lr: 1.0000e-04 eta: 0:00:53 time: 0.2309 data_time: 0.0309 memory: 5963 grad_norm: 0.8042 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0162 loss: 0.0162 2022/08/05 14:48:23 - mmengine - INFO - Epoch(train) [12][60/279] lr: 1.0000e-04 eta: 0:00:48 time: 0.2260 data_time: 0.0282 memory: 5963 grad_norm: 0.6165 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0185 loss: 0.0185 2022/08/05 14:48:27 - mmengine - INFO - Epoch(train) [12][80/279] lr: 1.0000e-04 eta: 0:00:44 time: 0.2293 data_time: 0.0299 memory: 5963 grad_norm: 0.6302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0109 loss: 0.0109 2022/08/05 14:48:32 - mmengine - INFO - Epoch(train) [12][100/279] lr: 1.0000e-04 eta: 0:00:40 time: 0.2289 data_time: 0.0279 memory: 5963 grad_norm: 0.7183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0276 loss: 0.0276 2022/08/05 14:48:37 - mmengine - INFO - Epoch(train) [12][120/279] lr: 1.0000e-04 eta: 0:00:35 time: 0.2376 data_time: 0.0417 memory: 5963 grad_norm: 0.7294 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0168 loss: 0.0168 2022/08/05 14:48:41 - mmengine - INFO - Epoch(train) [12][140/279] lr: 1.0000e-04 eta: 0:00:31 time: 0.2263 data_time: 0.0291 memory: 5963 grad_norm: 0.7205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0075 loss: 0.0075 2022/08/05 14:48:46 - mmengine - INFO - Epoch(train) [12][160/279] lr: 1.0000e-04 eta: 0:00:26 time: 0.2306 data_time: 0.0317 memory: 5963 grad_norm: 0.6877 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0099 loss: 0.0099 2022/08/05 14:48:50 - mmengine - INFO - Epoch(train) [12][180/279] lr: 1.0000e-04 eta: 0:00:22 time: 0.2270 data_time: 0.0289 memory: 5963 grad_norm: 0.8056 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0071 loss: 0.0071 2022/08/05 14:48:55 - mmengine - INFO - Epoch(train) [12][200/279] lr: 1.0000e-04 eta: 0:00:17 time: 0.2251 data_time: 0.0275 memory: 5963 grad_norm: 0.6826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0098 loss: 0.0098 2022/08/05 14:48:59 - mmengine - INFO - Epoch(train) [12][220/279] lr: 1.0000e-04 eta: 0:00:13 time: 0.2283 data_time: 0.0320 memory: 5963 grad_norm: 0.9602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0160 loss: 0.0160 2022/08/05 14:49:04 - mmengine - INFO - Epoch(train) [12][240/279] lr: 1.0000e-04 eta: 0:00:08 time: 0.2271 data_time: 0.0313 memory: 5963 grad_norm: 0.8738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0095 loss: 0.0095 2022/08/05 14:49:09 - mmengine - INFO - Epoch(train) [12][260/279] lr: 1.0000e-04 eta: 0:00:04 time: 0.2325 data_time: 0.0293 memory: 5963 grad_norm: 0.9234 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0168 loss: 0.0168 2022/08/05 14:49:13 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint_20220805_143455 2022/08/05 14:49:13 - mmengine - INFO - Epoch(train) [12][279/279] lr: 1.0000e-04 eta: 0:00:04 time: 0.2126 data_time: 0.0289 memory: 5963 grad_norm: 0.6809 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0086 loss: 0.0086 2022/08/05 14:49:13 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/05 14:49:17 - mmengine - INFO - Epoch(val) [12][12/12] acc/top1: 0.6843 acc/top5: 0.9059 acc/mean1: 0.6843 2022/08/05 14:49:17 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_hmdb51_split1_keypoint/best_acc/top1_epoch_11.pth is removed 2022/08/05 14:49:17 - mmengine - INFO - The best checkpoint with 0.6843 acc/top1 at 13 epoch is saved to best_acc/top1_epoch_13.pth.