2022/08/05 13:00:24 - mmengine - INFO - Load checkpoint from https://download.openmmlab.com/mmaction/skeleton/posec3d/k400_posec3d-041f49c6.pth 2022/08/05 13:00:25 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint by HardDiskBackend. 2022/08/05 13:00:34 - mmengine - INFO - Epoch(train) [1][20/746] lr: 1.0000e-02 eta: 1:12:03 time: 0.4840 data_time: 0.1689 memory: 5963 grad_norm: 2.0145 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 4.3588 loss: 4.3588 2022/08/05 13:00:39 - mmengine - INFO - Epoch(train) [1][40/746] lr: 1.0000e-02 eta: 0:53:47 time: 0.2402 data_time: 0.0381 memory: 5963 grad_norm: 2.1964 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 3.3618 loss: 3.3618 2022/08/05 13:00:44 - mmengine - INFO - Epoch(train) [1][60/746] lr: 1.0000e-02 eta: 0:47:08 time: 0.2299 data_time: 0.0323 memory: 5963 grad_norm: 2.1693 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2991 loss: 2.2991 2022/08/05 13:00:48 - mmengine - INFO - Epoch(train) [1][80/746] lr: 1.0000e-02 eta: 0:44:01 time: 0.2368 data_time: 0.0311 memory: 5963 grad_norm: 2.1146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7200 loss: 1.7200 2022/08/05 13:00:53 - mmengine - INFO - Epoch(train) [1][100/746] lr: 1.0000e-02 eta: 0:42:08 time: 0.2373 data_time: 0.0373 memory: 5963 grad_norm: 2.1736 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.2909 loss: 1.2909 2022/08/05 13:00:58 - mmengine - INFO - Epoch(train) [1][120/746] lr: 1.0000e-02 eta: 0:40:48 time: 0.2353 data_time: 0.0319 memory: 5963 grad_norm: 2.1339 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2247 loss: 1.2247 2022/08/05 13:01:03 - mmengine - INFO - Epoch(train) [1][140/746] lr: 1.0000e-02 eta: 0:39:49 time: 0.2348 data_time: 0.0342 memory: 5963 grad_norm: 2.0924 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8945 loss: 0.8945 2022/08/05 13:01:07 - mmengine - INFO - Epoch(train) [1][160/746] lr: 1.0000e-02 eta: 0:39:05 time: 0.2358 data_time: 0.0357 memory: 5963 grad_norm: 2.1070 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8405 loss: 0.8405 2022/08/05 13:01:12 - mmengine - INFO - Epoch(train) [1][180/746] lr: 1.0000e-02 eta: 0:38:26 time: 0.2325 data_time: 0.0318 memory: 5963 grad_norm: 2.2987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7618 loss: 0.7618 2022/08/05 13:01:17 - mmengine - INFO - Epoch(train) [1][200/746] lr: 1.0000e-02 eta: 0:37:57 time: 0.2356 data_time: 0.0320 memory: 5963 grad_norm: 2.1856 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6678 loss: 0.6678 2022/08/05 13:01:21 - mmengine - INFO - Epoch(train) [1][220/746] lr: 1.0000e-02 eta: 0:37:32 time: 0.2350 data_time: 0.0355 memory: 5963 grad_norm: 2.1162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6601 loss: 0.6601 2022/08/05 13:01:26 - mmengine - INFO - Epoch(train) [1][240/746] lr: 1.0000e-02 eta: 0:37:11 time: 0.2367 data_time: 0.0339 memory: 5963 grad_norm: 2.1773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5771 loss: 0.5771 2022/08/05 13:01:31 - mmengine - INFO - Epoch(train) [1][260/746] lr: 1.0000e-02 eta: 0:36:51 time: 0.2343 data_time: 0.0320 memory: 5963 grad_norm: 2.1674 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6496 loss: 0.6496 2022/08/05 13:01:36 - mmengine - INFO - Epoch(train) [1][280/746] lr: 1.0000e-02 eta: 0:36:37 time: 0.2396 data_time: 0.0336 memory: 5963 grad_norm: 2.2436 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5576 loss: 0.5576 2022/08/05 13:01:40 - mmengine - INFO - Epoch(train) [1][300/746] lr: 1.0000e-02 eta: 0:36:23 time: 0.2369 data_time: 0.0312 memory: 5963 grad_norm: 2.1100 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4932 loss: 0.4932 2022/08/05 13:01:45 - mmengine - INFO - Epoch(train) [1][320/746] lr: 1.0000e-02 eta: 0:36:08 time: 0.2353 data_time: 0.0326 memory: 5963 grad_norm: 2.1913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5062 loss: 0.5062 2022/08/05 13:01:50 - mmengine - INFO - Epoch(train) [1][340/746] lr: 1.0000e-02 eta: 0:35:57 time: 0.2380 data_time: 0.0365 memory: 5963 grad_norm: 2.1832 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4766 loss: 0.4766 2022/08/05 13:01:54 - mmengine - INFO - Epoch(train) [1][360/746] lr: 1.0000e-02 eta: 0:35:44 time: 0.2342 data_time: 0.0343 memory: 5963 grad_norm: 2.2527 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3969 loss: 0.3969 2022/08/05 13:01:59 - mmengine - INFO - Epoch(train) [1][380/746] lr: 1.0000e-02 eta: 0:35:31 time: 0.2313 data_time: 0.0319 memory: 5963 grad_norm: 2.2018 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4607 loss: 0.4607 2022/08/05 13:02:04 - mmengine - INFO - Epoch(train) [1][400/746] lr: 1.0000e-02 eta: 0:35:21 time: 0.2384 data_time: 0.0356 memory: 5963 grad_norm: 2.1354 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4272 loss: 0.4272 2022/08/05 13:02:08 - mmengine - INFO - Epoch(train) [1][420/746] lr: 1.0000e-02 eta: 0:35:10 time: 0.2325 data_time: 0.0339 memory: 5963 grad_norm: 2.2501 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3540 loss: 0.3540 2022/08/05 13:02:13 - mmengine - INFO - Epoch(train) [1][440/746] lr: 1.0000e-02 eta: 0:35:00 time: 0.2356 data_time: 0.0321 memory: 5963 grad_norm: 2.1007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3325 loss: 0.3325 2022/08/05 13:02:18 - mmengine - INFO - Epoch(train) [1][460/746] lr: 1.0000e-02 eta: 0:34:52 time: 0.2361 data_time: 0.0350 memory: 5963 grad_norm: 2.1119 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.2965 loss: 0.2965 2022/08/05 13:02:23 - mmengine - INFO - Epoch(train) [1][480/746] lr: 1.0000e-02 eta: 0:34:41 time: 0.2312 data_time: 0.0296 memory: 5963 grad_norm: 2.0276 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2997 loss: 0.2997 2022/08/05 13:02:27 - mmengine - INFO - Epoch(train) [1][500/746] lr: 1.0000e-02 eta: 0:34:36 time: 0.2459 data_time: 0.0324 memory: 5963 grad_norm: 2.1623 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3383 loss: 0.3383 2022/08/05 13:02:32 - mmengine - INFO - Epoch(train) [1][520/746] lr: 1.0000e-02 eta: 0:34:29 time: 0.2374 data_time: 0.0350 memory: 5963 grad_norm: 2.1075 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3239 loss: 0.3239 2022/08/05 13:02:37 - mmengine - INFO - Epoch(train) [1][540/746] lr: 1.0000e-02 eta: 0:34:21 time: 0.2356 data_time: 0.0309 memory: 5963 grad_norm: 2.2481 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3218 loss: 0.3218 2022/08/05 13:02:42 - mmengine - INFO - Epoch(train) [1][560/746] lr: 1.0000e-02 eta: 0:34:13 time: 0.2365 data_time: 0.0333 memory: 5963 grad_norm: 2.2774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3948 loss: 0.3948 2022/08/05 13:02:46 - mmengine - INFO - Epoch(train) [1][580/746] lr: 1.0000e-02 eta: 0:34:07 time: 0.2413 data_time: 0.0360 memory: 5963 grad_norm: 2.1101 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3084 loss: 0.3084 2022/08/05 13:02:51 - mmengine - INFO - Epoch(train) [1][600/746] lr: 1.0000e-02 eta: 0:33:59 time: 0.2314 data_time: 0.0342 memory: 5963 grad_norm: 2.0846 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2611 loss: 0.2611 2022/08/05 13:02:56 - mmengine - INFO - Epoch(train) [1][620/746] lr: 1.0000e-02 eta: 0:33:51 time: 0.2325 data_time: 0.0330 memory: 5963 grad_norm: 1.9876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2955 loss: 0.2955 2022/08/05 13:03:00 - mmengine - INFO - Epoch(train) [1][640/746] lr: 1.0000e-02 eta: 0:33:44 time: 0.2349 data_time: 0.0377 memory: 5963 grad_norm: 2.0878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2292 loss: 0.2292 2022/08/05 13:03:05 - mmengine - INFO - Epoch(train) [1][660/746] lr: 1.0000e-02 eta: 0:33:36 time: 0.2323 data_time: 0.0332 memory: 5963 grad_norm: 2.1503 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2761 loss: 0.2761 2022/08/05 13:03:10 - mmengine - INFO - Epoch(train) [1][680/746] lr: 1.0000e-02 eta: 0:33:28 time: 0.2321 data_time: 0.0324 memory: 5963 grad_norm: 2.0087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2851 loss: 0.2851 2022/08/05 13:03:14 - mmengine - INFO - Epoch(train) [1][700/746] lr: 1.0000e-02 eta: 0:33:21 time: 0.2338 data_time: 0.0361 memory: 5963 grad_norm: 2.1254 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2842 loss: 0.2842 2022/08/05 13:03:19 - mmengine - INFO - Epoch(train) [1][720/746] lr: 1.0000e-02 eta: 0:33:15 time: 0.2344 data_time: 0.0324 memory: 5963 grad_norm: 2.0495 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2544 loss: 0.2544 2022/08/05 13:03:23 - mmengine - INFO - Epoch(train) [1][740/746] lr: 1.0000e-02 eta: 0:33:05 time: 0.2188 data_time: 0.0318 memory: 5963 grad_norm: 2.0822 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2617 loss: 0.2617 2022/08/05 13:03:25 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:03:25 - mmengine - INFO - Epoch(train) [1][746/746] lr: 1.0000e-02 eta: 0:33:05 time: 0.2120 data_time: 0.0322 memory: 5963 grad_norm: 2.3381 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.3893 loss: 0.3893 2022/08/05 13:03:25 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/08/05 13:03:32 - mmengine - INFO - Epoch(val) [1][20/30] eta: 0:00:03 time: 0.3232 data_time: 0.2121 memory: 1452 2022/08/05 13:03:34 - mmengine - INFO - Epoch(val) [1][30/30] acc/top1: 0.8446 acc/top5: 0.9611 acc/mean1: 0.8437 2022/08/05 13:03:34 - mmengine - INFO - The best checkpoint with 0.8446 acc/top1 at 2 epoch is saved to best_acc/top1_epoch_2.pth. 2022/08/05 13:03:41 - mmengine - INFO - Epoch(train) [2][20/746] lr: 1.0000e-02 eta: 0:32:58 time: 0.3106 data_time: 0.0837 memory: 5963 grad_norm: 2.2124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2932 loss: 0.2932 2022/08/05 13:03:45 - mmengine - INFO - Epoch(train) [2][40/746] lr: 1.0000e-02 eta: 0:32:51 time: 0.2327 data_time: 0.0294 memory: 5963 grad_norm: 2.0131 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2337 loss: 0.2337 2022/08/05 13:03:50 - mmengine - INFO - Epoch(train) [2][60/746] lr: 1.0000e-02 eta: 0:32:45 time: 0.2357 data_time: 0.0370 memory: 5963 grad_norm: 2.0176 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2477 loss: 0.2477 2022/08/05 13:03:55 - mmengine - INFO - Epoch(train) [2][80/746] lr: 1.0000e-02 eta: 0:32:37 time: 0.2280 data_time: 0.0310 memory: 5963 grad_norm: 2.0270 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2016 loss: 0.2016 2022/08/05 13:03:59 - mmengine - INFO - Epoch(train) [2][100/746] lr: 1.0000e-02 eta: 0:32:31 time: 0.2300 data_time: 0.0332 memory: 5963 grad_norm: 2.0243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2215 loss: 0.2215 2022/08/05 13:04:04 - mmengine - INFO - Epoch(train) [2][120/746] lr: 1.0000e-02 eta: 0:32:24 time: 0.2322 data_time: 0.0355 memory: 5963 grad_norm: 1.8862 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1846 loss: 0.1846 2022/08/05 13:04:08 - mmengine - INFO - Epoch(train) [2][140/746] lr: 1.0000e-02 eta: 0:32:17 time: 0.2296 data_time: 0.0315 memory: 5963 grad_norm: 2.0411 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2589 loss: 0.2589 2022/08/05 13:04:13 - mmengine - INFO - Epoch(train) [2][160/746] lr: 1.0000e-02 eta: 0:32:11 time: 0.2301 data_time: 0.0306 memory: 5963 grad_norm: 2.0665 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2197 loss: 0.2197 2022/08/05 13:04:18 - mmengine - INFO - Epoch(train) [2][180/746] lr: 1.0000e-02 eta: 0:32:05 time: 0.2370 data_time: 0.0330 memory: 5963 grad_norm: 2.1463 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1976 loss: 0.1976 2022/08/05 13:04:22 - mmengine - INFO - Epoch(train) [2][200/746] lr: 1.0000e-02 eta: 0:31:59 time: 0.2281 data_time: 0.0315 memory: 5963 grad_norm: 1.9686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1483 loss: 0.1483 2022/08/05 13:04:27 - mmengine - INFO - Epoch(train) [2][220/746] lr: 1.0000e-02 eta: 0:31:52 time: 0.2313 data_time: 0.0325 memory: 5963 grad_norm: 1.8445 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1914 loss: 0.1914 2022/08/05 13:04:32 - mmengine - INFO - Epoch(train) [2][240/746] lr: 1.0000e-02 eta: 0:31:46 time: 0.2321 data_time: 0.0338 memory: 5963 grad_norm: 1.8720 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1714 loss: 0.1714 2022/08/05 13:04:35 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:04:36 - mmengine - INFO - Epoch(train) [2][260/746] lr: 1.0000e-02 eta: 0:31:40 time: 0.2302 data_time: 0.0312 memory: 5963 grad_norm: 2.0292 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1854 loss: 0.1854 2022/08/05 13:04:41 - mmengine - INFO - Epoch(train) [2][280/746] lr: 1.0000e-02 eta: 0:31:34 time: 0.2311 data_time: 0.0323 memory: 5963 grad_norm: 1.8237 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1755 loss: 0.1755 2022/08/05 13:04:46 - mmengine - INFO - Epoch(train) [2][300/746] lr: 1.0000e-02 eta: 0:31:29 time: 0.2374 data_time: 0.0381 memory: 5963 grad_norm: 1.7564 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1491 loss: 0.1491 2022/08/05 13:04:50 - mmengine - INFO - Epoch(train) [2][320/746] lr: 1.0000e-02 eta: 0:31:25 time: 0.2421 data_time: 0.0341 memory: 5963 grad_norm: 2.0459 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1568 loss: 0.1568 2022/08/05 13:04:55 - mmengine - INFO - Epoch(train) [2][340/746] lr: 1.0000e-02 eta: 0:31:19 time: 0.2344 data_time: 0.0293 memory: 5963 grad_norm: 2.1013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1831 loss: 0.1831 2022/08/05 13:05:00 - mmengine - INFO - Epoch(train) [2][360/746] lr: 1.0000e-02 eta: 0:31:14 time: 0.2338 data_time: 0.0351 memory: 5963 grad_norm: 2.0169 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1054 loss: 0.1054 2022/08/05 13:05:04 - mmengine - INFO - Epoch(train) [2][380/746] lr: 1.0000e-02 eta: 0:31:09 time: 0.2357 data_time: 0.0320 memory: 5963 grad_norm: 2.0412 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1591 loss: 0.1591 2022/08/05 13:05:09 - mmengine - INFO - Epoch(train) [2][400/746] lr: 1.0000e-02 eta: 0:31:03 time: 0.2332 data_time: 0.0324 memory: 5963 grad_norm: 2.1125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1952 loss: 0.1952 2022/08/05 13:05:14 - mmengine - INFO - Epoch(train) [2][420/746] lr: 1.0000e-02 eta: 0:30:57 time: 0.2312 data_time: 0.0332 memory: 5963 grad_norm: 2.0149 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1600 loss: 0.1600 2022/08/05 13:05:18 - mmengine - INFO - Epoch(train) [2][440/746] lr: 1.0000e-02 eta: 0:30:52 time: 0.2322 data_time: 0.0339 memory: 5963 grad_norm: 1.9145 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1364 loss: 0.1364 2022/08/05 13:05:23 - mmengine - INFO - Epoch(train) [2][460/746] lr: 1.0000e-02 eta: 0:30:46 time: 0.2356 data_time: 0.0312 memory: 5963 grad_norm: 1.8844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1640 loss: 0.1640 2022/08/05 13:05:28 - mmengine - INFO - Epoch(train) [2][480/746] lr: 1.0000e-02 eta: 0:30:41 time: 0.2340 data_time: 0.0347 memory: 5963 grad_norm: 2.0371 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1894 loss: 0.1894 2022/08/05 13:05:32 - mmengine - INFO - Epoch(train) [2][500/746] lr: 1.0000e-02 eta: 0:30:35 time: 0.2307 data_time: 0.0323 memory: 5963 grad_norm: 1.8584 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1631 loss: 0.1631 2022/08/05 13:05:37 - mmengine - INFO - Epoch(train) [2][520/746] lr: 1.0000e-02 eta: 0:30:30 time: 0.2313 data_time: 0.0325 memory: 5963 grad_norm: 1.9204 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1601 loss: 0.1601 2022/08/05 13:05:42 - mmengine - INFO - Epoch(train) [2][540/746] lr: 1.0000e-02 eta: 0:30:24 time: 0.2325 data_time: 0.0351 memory: 5963 grad_norm: 1.9678 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1379 loss: 0.1379 2022/08/05 13:05:46 - mmengine - INFO - Epoch(train) [2][560/746] lr: 1.0000e-02 eta: 0:30:20 time: 0.2400 data_time: 0.0428 memory: 5963 grad_norm: 2.0857 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1946 loss: 0.1946 2022/08/05 13:05:51 - mmengine - INFO - Epoch(train) [2][580/746] lr: 1.0000e-02 eta: 0:30:14 time: 0.2300 data_time: 0.0308 memory: 5963 grad_norm: 1.9639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1882 loss: 0.1882 2022/08/05 13:05:56 - mmengine - INFO - Epoch(train) [2][600/746] lr: 1.0000e-02 eta: 0:30:09 time: 0.2338 data_time: 0.0373 memory: 5963 grad_norm: 2.0200 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1397 loss: 0.1397 2022/08/05 13:06:00 - mmengine - INFO - Epoch(train) [2][620/746] lr: 1.0000e-02 eta: 0:30:04 time: 0.2337 data_time: 0.0324 memory: 5963 grad_norm: 1.9424 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1242 loss: 0.1242 2022/08/05 13:06:05 - mmengine - INFO - Epoch(train) [2][640/746] lr: 1.0000e-02 eta: 0:29:58 time: 0.2311 data_time: 0.0338 memory: 5963 grad_norm: 1.8110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1441 loss: 0.1441 2022/08/05 13:06:10 - mmengine - INFO - Epoch(train) [2][660/746] lr: 1.0000e-02 eta: 0:29:53 time: 0.2354 data_time: 0.0355 memory: 5963 grad_norm: 1.8345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1482 loss: 0.1482 2022/08/05 13:06:14 - mmengine - INFO - Epoch(train) [2][680/746] lr: 1.0000e-02 eta: 0:29:48 time: 0.2286 data_time: 0.0306 memory: 5963 grad_norm: 1.8179 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1841 loss: 0.1841 2022/08/05 13:06:19 - mmengine - INFO - Epoch(train) [2][700/746] lr: 1.0000e-02 eta: 0:29:43 time: 0.2368 data_time: 0.0328 memory: 5963 grad_norm: 2.0791 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1709 loss: 0.1709 2022/08/05 13:06:24 - mmengine - INFO - Epoch(train) [2][720/746] lr: 1.0000e-02 eta: 0:29:38 time: 0.2340 data_time: 0.0366 memory: 5963 grad_norm: 1.8344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1582 loss: 0.1582 2022/08/05 13:06:28 - mmengine - INFO - Epoch(train) [2][740/746] lr: 1.0000e-02 eta: 0:29:31 time: 0.2190 data_time: 0.0300 memory: 5963 grad_norm: 1.9417 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1037 loss: 0.1037 2022/08/05 13:06:29 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:06:29 - mmengine - INFO - Epoch(train) [2][746/746] lr: 1.0000e-02 eta: 0:29:31 time: 0.2068 data_time: 0.0309 memory: 5963 grad_norm: 2.2673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1564 loss: 0.1564 2022/08/05 13:06:29 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/08/05 13:06:35 - mmengine - INFO - Epoch(val) [2][20/30] eta: 0:00:02 time: 0.2490 data_time: 0.1372 memory: 1452 2022/08/05 13:06:37 - mmengine - INFO - Epoch(val) [2][30/30] acc/top1: 0.8390 acc/top5: 0.9524 acc/mean1: 0.8373 2022/08/05 13:06:44 - mmengine - INFO - Epoch(train) [3][20/746] lr: 1.0000e-02 eta: 0:29:28 time: 0.3386 data_time: 0.1103 memory: 5963 grad_norm: 1.9392 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1790 loss: 0.1790 2022/08/05 13:06:48 - mmengine - INFO - Epoch(train) [3][40/746] lr: 1.0000e-02 eta: 0:29:23 time: 0.2354 data_time: 0.0363 memory: 5963 grad_norm: 2.1098 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1479 loss: 0.1479 2022/08/05 13:06:53 - mmengine - INFO - Epoch(train) [3][60/746] lr: 1.0000e-02 eta: 0:29:17 time: 0.2295 data_time: 0.0316 memory: 5963 grad_norm: 1.9845 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1313 loss: 0.1313 2022/08/05 13:06:58 - mmengine - INFO - Epoch(train) [3][80/746] lr: 1.0000e-02 eta: 0:29:12 time: 0.2302 data_time: 0.0310 memory: 5963 grad_norm: 1.7411 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1358 loss: 0.1358 2022/08/05 13:07:02 - mmengine - INFO - Epoch(train) [3][100/746] lr: 1.0000e-02 eta: 0:29:06 time: 0.2299 data_time: 0.0320 memory: 5963 grad_norm: 1.5950 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0996 loss: 0.0996 2022/08/05 13:07:07 - mmengine - INFO - Epoch(train) [3][120/746] lr: 1.0000e-02 eta: 0:29:02 time: 0.2367 data_time: 0.0322 memory: 5963 grad_norm: 1.7242 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1093 loss: 0.1093 2022/08/05 13:07:11 - mmengine - INFO - Epoch(train) [3][140/746] lr: 1.0000e-02 eta: 0:28:56 time: 0.2296 data_time: 0.0323 memory: 5963 grad_norm: 1.7578 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1083 loss: 0.1083 2022/08/05 13:07:16 - mmengine - INFO - Epoch(train) [3][160/746] lr: 1.0000e-02 eta: 0:28:51 time: 0.2320 data_time: 0.0339 memory: 5963 grad_norm: 1.7101 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1190 loss: 0.1190 2022/08/05 13:07:21 - mmengine - INFO - Epoch(train) [3][180/746] lr: 1.0000e-02 eta: 0:28:46 time: 0.2299 data_time: 0.0314 memory: 5963 grad_norm: 1.6816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1065 loss: 0.1065 2022/08/05 13:07:25 - mmengine - INFO - Epoch(train) [3][200/746] lr: 1.0000e-02 eta: 0:28:40 time: 0.2284 data_time: 0.0315 memory: 5963 grad_norm: 1.7496 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1300 loss: 0.1300 2022/08/05 13:07:30 - mmengine - INFO - Epoch(train) [3][220/746] lr: 1.0000e-02 eta: 0:28:35 time: 0.2330 data_time: 0.0349 memory: 5963 grad_norm: 2.0190 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1088 loss: 0.1088 2022/08/05 13:07:35 - mmengine - INFO - Epoch(train) [3][240/746] lr: 1.0000e-02 eta: 0:28:30 time: 0.2311 data_time: 0.0317 memory: 5963 grad_norm: 1.6332 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1356 loss: 0.1356 2022/08/05 13:07:39 - mmengine - INFO - Epoch(train) [3][260/746] lr: 1.0000e-02 eta: 0:28:25 time: 0.2312 data_time: 0.0322 memory: 5963 grad_norm: 1.7253 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1247 loss: 0.1247 2022/08/05 13:07:44 - mmengine - INFO - Epoch(train) [3][280/746] lr: 1.0000e-02 eta: 0:28:20 time: 0.2351 data_time: 0.0356 memory: 5963 grad_norm: 1.7938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1277 loss: 0.1277 2022/08/05 13:07:49 - mmengine - INFO - Epoch(train) [3][300/746] lr: 1.0000e-02 eta: 0:28:15 time: 0.2328 data_time: 0.0338 memory: 5963 grad_norm: 1.7462 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1356 loss: 0.1356 2022/08/05 13:07:53 - mmengine - INFO - Epoch(train) [3][320/746] lr: 1.0000e-02 eta: 0:28:09 time: 0.2291 data_time: 0.0318 memory: 5963 grad_norm: 1.7016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1393 loss: 0.1393 2022/08/05 13:07:58 - mmengine - INFO - Epoch(train) [3][340/746] lr: 1.0000e-02 eta: 0:28:05 time: 0.2420 data_time: 0.0441 memory: 5963 grad_norm: 2.0210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1506 loss: 0.1506 2022/08/05 13:08:03 - mmengine - INFO - Epoch(train) [3][360/746] lr: 1.0000e-02 eta: 0:28:00 time: 0.2311 data_time: 0.0332 memory: 5963 grad_norm: 1.9996 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1438 loss: 0.1438 2022/08/05 13:08:07 - mmengine - INFO - Epoch(train) [3][380/746] lr: 1.0000e-02 eta: 0:27:55 time: 0.2368 data_time: 0.0326 memory: 5963 grad_norm: 1.7203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1343 loss: 0.1343 2022/08/05 13:08:12 - mmengine - INFO - Epoch(train) [3][400/746] lr: 1.0000e-02 eta: 0:27:50 time: 0.2344 data_time: 0.0378 memory: 5963 grad_norm: 1.6499 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1164 loss: 0.1164 2022/08/05 13:08:17 - mmengine - INFO - Epoch(train) [3][420/746] lr: 1.0000e-02 eta: 0:27:45 time: 0.2357 data_time: 0.0317 memory: 5963 grad_norm: 1.7813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1360 loss: 0.1360 2022/08/05 13:08:21 - mmengine - INFO - Epoch(train) [3][440/746] lr: 1.0000e-02 eta: 0:27:40 time: 0.2296 data_time: 0.0314 memory: 5963 grad_norm: 1.9497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1316 loss: 0.1316 2022/08/05 13:08:26 - mmengine - INFO - Epoch(train) [3][460/746] lr: 1.0000e-02 eta: 0:27:35 time: 0.2315 data_time: 0.0364 memory: 5963 grad_norm: 1.7167 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1501 loss: 0.1501 2022/08/05 13:08:31 - mmengine - INFO - Epoch(train) [3][480/746] lr: 1.0000e-02 eta: 0:27:30 time: 0.2316 data_time: 0.0331 memory: 5963 grad_norm: 1.8611 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1310 loss: 0.1310 2022/08/05 13:08:35 - mmengine - INFO - Epoch(train) [3][500/746] lr: 1.0000e-02 eta: 0:27:25 time: 0.2328 data_time: 0.0326 memory: 5963 grad_norm: 1.7273 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0930 loss: 0.0930 2022/08/05 13:08:37 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:08:40 - mmengine - INFO - Epoch(train) [3][520/746] lr: 1.0000e-02 eta: 0:27:20 time: 0.2350 data_time: 0.0319 memory: 5963 grad_norm: 1.7599 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0811 loss: 0.0811 2022/08/05 13:08:45 - mmengine - INFO - Epoch(train) [3][540/746] lr: 1.0000e-02 eta: 0:27:15 time: 0.2324 data_time: 0.0327 memory: 5963 grad_norm: 1.7775 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0785 loss: 0.0785 2022/08/05 13:08:49 - mmengine - INFO - Epoch(train) [3][560/746] lr: 1.0000e-02 eta: 0:27:10 time: 0.2345 data_time: 0.0308 memory: 5963 grad_norm: 1.6398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1206 loss: 0.1206 2022/08/05 13:08:54 - mmengine - INFO - Epoch(train) [3][580/746] lr: 1.0000e-02 eta: 0:27:05 time: 0.2323 data_time: 0.0335 memory: 5963 grad_norm: 1.8493 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1458 loss: 0.1458 2022/08/05 13:08:59 - mmengine - INFO - Epoch(train) [3][600/746] lr: 1.0000e-02 eta: 0:27:00 time: 0.2328 data_time: 0.0323 memory: 5963 grad_norm: 1.8470 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0865 loss: 0.0865 2022/08/05 13:09:03 - mmengine - INFO - Epoch(train) [3][620/746] lr: 1.0000e-02 eta: 0:26:56 time: 0.2376 data_time: 0.0317 memory: 5963 grad_norm: 1.4534 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0784 loss: 0.0784 2022/08/05 13:09:08 - mmengine - INFO - Epoch(train) [3][640/746] lr: 1.0000e-02 eta: 0:26:51 time: 0.2366 data_time: 0.0393 memory: 5963 grad_norm: 1.7444 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0634 loss: 0.0634 2022/08/05 13:09:13 - mmengine - INFO - Epoch(train) [3][660/746] lr: 1.0000e-02 eta: 0:26:46 time: 0.2328 data_time: 0.0339 memory: 5963 grad_norm: 1.7209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0850 loss: 0.0850 2022/08/05 13:09:17 - mmengine - INFO - Epoch(train) [3][680/746] lr: 1.0000e-02 eta: 0:26:41 time: 0.2364 data_time: 0.0334 memory: 5963 grad_norm: 1.5975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0516 loss: 0.0516 2022/08/05 13:09:22 - mmengine - INFO - Epoch(train) [3][700/746] lr: 1.0000e-02 eta: 0:26:36 time: 0.2325 data_time: 0.0330 memory: 5963 grad_norm: 1.8575 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0817 loss: 0.0817 2022/08/05 13:09:27 - mmengine - INFO - Epoch(train) [3][720/746] lr: 1.0000e-02 eta: 0:26:31 time: 0.2310 data_time: 0.0302 memory: 5963 grad_norm: 1.5614 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0899 loss: 0.0899 2022/08/05 13:09:31 - mmengine - INFO - Epoch(train) [3][740/746] lr: 1.0000e-02 eta: 0:26:26 time: 0.2177 data_time: 0.0320 memory: 5963 grad_norm: 1.5602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0954 loss: 0.0954 2022/08/05 13:09:32 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:09:32 - mmengine - INFO - Epoch(train) [3][746/746] lr: 1.0000e-02 eta: 0:26:26 time: 0.2071 data_time: 0.0320 memory: 5963 grad_norm: 1.9297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1468 loss: 0.1468 2022/08/05 13:09:32 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/05 13:09:39 - mmengine - INFO - Epoch(val) [3][20/30] eta: 0:00:02 time: 0.2746 data_time: 0.1608 memory: 1452 2022/08/05 13:09:40 - mmengine - INFO - Epoch(val) [3][30/30] acc/top1: 0.8493 acc/top5: 0.9606 acc/mean1: 0.8497 2022/08/05 13:09:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint/best_acc/top1_epoch_2.pth is removed 2022/08/05 13:09:41 - mmengine - INFO - The best checkpoint with 0.8493 acc/top1 at 4 epoch is saved to best_acc/top1_epoch_4.pth. 2022/08/05 13:09:47 - mmengine - INFO - Epoch(train) [4][20/746] lr: 1.0000e-02 eta: 0:26:18 time: 0.2862 data_time: 0.0923 memory: 5963 grad_norm: 1.9904 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0643 loss: 0.0643 2022/08/05 13:09:51 - mmengine - INFO - Epoch(train) [4][40/746] lr: 1.0000e-02 eta: 0:26:13 time: 0.2321 data_time: 0.0346 memory: 5963 grad_norm: 1.8332 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0567 loss: 0.0567 2022/08/05 13:09:56 - mmengine - INFO - Epoch(train) [4][60/746] lr: 1.0000e-02 eta: 0:26:08 time: 0.2295 data_time: 0.0349 memory: 5963 grad_norm: 1.8476 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0886 loss: 0.0886 2022/08/05 13:10:01 - mmengine - INFO - Epoch(train) [4][80/746] lr: 1.0000e-02 eta: 0:26:03 time: 0.2292 data_time: 0.0343 memory: 5963 grad_norm: 1.6015 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0508 loss: 0.0508 2022/08/05 13:10:05 - mmengine - INFO - Epoch(train) [4][100/746] lr: 1.0000e-02 eta: 0:25:58 time: 0.2329 data_time: 0.0358 memory: 5963 grad_norm: 1.5539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1238 loss: 0.1238 2022/08/05 13:10:10 - mmengine - INFO - Epoch(train) [4][120/746] lr: 1.0000e-02 eta: 0:25:53 time: 0.2323 data_time: 0.0336 memory: 5963 grad_norm: 1.8030 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1039 loss: 0.1039 2022/08/05 13:10:15 - mmengine - INFO - Epoch(train) [4][140/746] lr: 1.0000e-02 eta: 0:25:48 time: 0.2318 data_time: 0.0327 memory: 5963 grad_norm: 1.6230 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1003 loss: 0.1003 2022/08/05 13:10:19 - mmengine - INFO - Epoch(train) [4][160/746] lr: 1.0000e-02 eta: 0:25:44 time: 0.2349 data_time: 0.0359 memory: 5963 grad_norm: 1.6158 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0814 loss: 0.0814 2022/08/05 13:10:24 - mmengine - INFO - Epoch(train) [4][180/746] lr: 1.0000e-02 eta: 0:25:39 time: 0.2297 data_time: 0.0340 memory: 5963 grad_norm: 1.5051 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0608 loss: 0.0608 2022/08/05 13:10:28 - mmengine - INFO - Epoch(train) [4][200/746] lr: 1.0000e-02 eta: 0:25:34 time: 0.2319 data_time: 0.0318 memory: 5963 grad_norm: 1.6300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1267 loss: 0.1267 2022/08/05 13:10:33 - mmengine - INFO - Epoch(train) [4][220/746] lr: 1.0000e-02 eta: 0:25:29 time: 0.2314 data_time: 0.0355 memory: 5963 grad_norm: 1.7922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0926 loss: 0.0926 2022/08/05 13:10:38 - mmengine - INFO - Epoch(train) [4][240/746] lr: 1.0000e-02 eta: 0:25:24 time: 0.2314 data_time: 0.0351 memory: 5963 grad_norm: 1.9179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1045 loss: 0.1045 2022/08/05 13:10:42 - mmengine - INFO - Epoch(train) [4][260/746] lr: 1.0000e-02 eta: 0:25:19 time: 0.2294 data_time: 0.0322 memory: 5963 grad_norm: 1.6710 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0941 loss: 0.0941 2022/08/05 13:10:47 - mmengine - INFO - Epoch(train) [4][280/746] lr: 1.0000e-02 eta: 0:25:14 time: 0.2313 data_time: 0.0337 memory: 5963 grad_norm: 1.6674 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0789 loss: 0.0789 2022/08/05 13:10:52 - mmengine - INFO - Epoch(train) [4][300/746] lr: 1.0000e-02 eta: 0:25:09 time: 0.2297 data_time: 0.0324 memory: 5963 grad_norm: 1.6181 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0902 loss: 0.0902 2022/08/05 13:10:56 - mmengine - INFO - Epoch(train) [4][320/746] lr: 1.0000e-02 eta: 0:25:04 time: 0.2308 data_time: 0.0322 memory: 5963 grad_norm: 1.8499 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0800 loss: 0.0800 2022/08/05 13:11:01 - mmengine - INFO - Epoch(train) [4][340/746] lr: 1.0000e-02 eta: 0:24:59 time: 0.2332 data_time: 0.0329 memory: 5963 grad_norm: 1.4611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0348 loss: 0.0348 2022/08/05 13:11:05 - mmengine - INFO - Epoch(train) [4][360/746] lr: 1.0000e-02 eta: 0:24:54 time: 0.2304 data_time: 0.0340 memory: 5963 grad_norm: 1.7189 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1125 loss: 0.1125 2022/08/05 13:11:10 - mmengine - INFO - Epoch(train) [4][380/746] lr: 1.0000e-02 eta: 0:24:49 time: 0.2290 data_time: 0.0329 memory: 5963 grad_norm: 1.8272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0884 loss: 0.0884 2022/08/05 13:11:15 - mmengine - INFO - Epoch(train) [4][400/746] lr: 1.0000e-02 eta: 0:24:44 time: 0.2354 data_time: 0.0393 memory: 5963 grad_norm: 1.6588 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1247 loss: 0.1247 2022/08/05 13:11:19 - mmengine - INFO - Epoch(train) [4][420/746] lr: 1.0000e-02 eta: 0:24:40 time: 0.2308 data_time: 0.0346 memory: 5963 grad_norm: 1.5712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0668 loss: 0.0668 2022/08/05 13:11:24 - mmengine - INFO - Epoch(train) [4][440/746] lr: 1.0000e-02 eta: 0:24:35 time: 0.2296 data_time: 0.0335 memory: 5963 grad_norm: 1.6846 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0634 loss: 0.0634 2022/08/05 13:11:29 - mmengine - INFO - Epoch(train) [4][460/746] lr: 1.0000e-02 eta: 0:24:30 time: 0.2317 data_time: 0.0334 memory: 5963 grad_norm: 1.6307 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0726 loss: 0.0726 2022/08/05 13:11:33 - mmengine - INFO - Epoch(train) [4][480/746] lr: 1.0000e-02 eta: 0:24:25 time: 0.2337 data_time: 0.0347 memory: 5963 grad_norm: 1.6456 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0991 loss: 0.0991 2022/08/05 13:11:38 - mmengine - INFO - Epoch(train) [4][500/746] lr: 1.0000e-02 eta: 0:24:20 time: 0.2309 data_time: 0.0372 memory: 5963 grad_norm: 1.7158 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0630 loss: 0.0630 2022/08/05 13:11:43 - mmengine - INFO - Epoch(train) [4][520/746] lr: 1.0000e-02 eta: 0:24:15 time: 0.2329 data_time: 0.0372 memory: 5963 grad_norm: 1.5823 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0635 loss: 0.0635 2022/08/05 13:11:47 - mmengine - INFO - Epoch(train) [4][540/746] lr: 1.0000e-02 eta: 0:24:10 time: 0.2306 data_time: 0.0348 memory: 5963 grad_norm: 1.6007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0636 loss: 0.0636 2022/08/05 13:11:52 - mmengine - INFO - Epoch(train) [4][560/746] lr: 1.0000e-02 eta: 0:24:05 time: 0.2300 data_time: 0.0342 memory: 5963 grad_norm: 1.6221 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0510 loss: 0.0510 2022/08/05 13:11:56 - mmengine - INFO - Epoch(train) [4][580/746] lr: 1.0000e-02 eta: 0:24:00 time: 0.2286 data_time: 0.0351 memory: 5963 grad_norm: 1.4819 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0955 loss: 0.0955 2022/08/05 13:12:01 - mmengine - INFO - Epoch(train) [4][600/746] lr: 1.0000e-02 eta: 0:23:56 time: 0.2363 data_time: 0.0326 memory: 5963 grad_norm: 1.6533 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1331 loss: 0.1331 2022/08/05 13:12:06 - mmengine - INFO - Epoch(train) [4][620/746] lr: 1.0000e-02 eta: 0:23:51 time: 0.2315 data_time: 0.0342 memory: 5963 grad_norm: 1.7381 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0894 loss: 0.0894 2022/08/05 13:12:10 - mmengine - INFO - Epoch(train) [4][640/746] lr: 1.0000e-02 eta: 0:23:46 time: 0.2302 data_time: 0.0322 memory: 5963 grad_norm: 1.5939 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0497 loss: 0.0497 2022/08/05 13:12:15 - mmengine - INFO - Epoch(train) [4][660/746] lr: 1.0000e-02 eta: 0:23:41 time: 0.2349 data_time: 0.0320 memory: 5963 grad_norm: 1.3471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0556 loss: 0.0556 2022/08/05 13:12:20 - mmengine - INFO - Epoch(train) [4][680/746] lr: 1.0000e-02 eta: 0:23:37 time: 0.2352 data_time: 0.0321 memory: 5963 grad_norm: 1.4993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0928 loss: 0.0928 2022/08/05 13:12:24 - mmengine - INFO - Epoch(train) [4][700/746] lr: 1.0000e-02 eta: 0:23:32 time: 0.2330 data_time: 0.0357 memory: 5963 grad_norm: 1.5199 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0659 loss: 0.0659 2022/08/05 13:12:29 - mmengine - INFO - Epoch(train) [4][720/746] lr: 1.0000e-02 eta: 0:23:27 time: 0.2314 data_time: 0.0323 memory: 5963 grad_norm: 1.6788 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0737 loss: 0.0737 2022/08/05 13:12:33 - mmengine - INFO - Epoch(train) [4][740/746] lr: 1.0000e-02 eta: 0:23:22 time: 0.2189 data_time: 0.0304 memory: 5963 grad_norm: 1.8257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0651 loss: 0.0651 2022/08/05 13:12:34 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:12:34 - mmengine - INFO - Epoch(train) [4][746/746] lr: 1.0000e-02 eta: 0:23:22 time: 0.2080 data_time: 0.0302 memory: 5963 grad_norm: 2.2239 top1_acc: 0.0000 top5_acc: 0.5000 loss_cls: 0.2012 loss: 0.2012 2022/08/05 13:12:35 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/05 13:12:41 - mmengine - INFO - Epoch(val) [4][20/30] eta: 0:00:02 time: 0.2668 data_time: 0.1577 memory: 1452 2022/08/05 13:12:42 - mmengine - INFO - Epoch(val) [4][30/30] acc/top1: 0.8327 acc/top5: 0.9537 acc/mean1: 0.8292 2022/08/05 13:12:48 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:12:49 - mmengine - INFO - Epoch(train) [5][20/746] lr: 1.0000e-02 eta: 0:23:17 time: 0.3445 data_time: 0.1219 memory: 5963 grad_norm: 1.6566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0604 loss: 0.0604 2022/08/05 13:12:54 - mmengine - INFO - Epoch(train) [5][40/746] lr: 1.0000e-02 eta: 0:23:12 time: 0.2283 data_time: 0.0346 memory: 5963 grad_norm: 1.6860 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0670 loss: 0.0670 2022/08/05 13:12:58 - mmengine - INFO - Epoch(train) [5][60/746] lr: 1.0000e-02 eta: 0:23:07 time: 0.2282 data_time: 0.0312 memory: 5963 grad_norm: 1.7451 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0578 loss: 0.0578 2022/08/05 13:13:03 - mmengine - INFO - Epoch(train) [5][80/746] lr: 1.0000e-02 eta: 0:23:02 time: 0.2304 data_time: 0.0323 memory: 5963 grad_norm: 1.6976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0644 loss: 0.0644 2022/08/05 13:13:08 - mmengine - INFO - Epoch(train) [5][100/746] lr: 1.0000e-02 eta: 0:22:57 time: 0.2258 data_time: 0.0346 memory: 5963 grad_norm: 1.8442 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1290 loss: 0.1290 2022/08/05 13:13:12 - mmengine - INFO - Epoch(train) [5][120/746] lr: 1.0000e-02 eta: 0:22:53 time: 0.2307 data_time: 0.0340 memory: 5963 grad_norm: 1.6421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0820 loss: 0.0820 2022/08/05 13:13:17 - mmengine - INFO - Epoch(train) [5][140/746] lr: 1.0000e-02 eta: 0:22:48 time: 0.2300 data_time: 0.0293 memory: 5963 grad_norm: 1.5568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0756 loss: 0.0756 2022/08/05 13:13:21 - mmengine - INFO - Epoch(train) [5][160/746] lr: 1.0000e-02 eta: 0:22:43 time: 0.2358 data_time: 0.0355 memory: 5963 grad_norm: 1.8418 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0853 loss: 0.0853 2022/08/05 13:13:26 - mmengine - INFO - Epoch(train) [5][180/746] lr: 1.0000e-02 eta: 0:22:38 time: 0.2302 data_time: 0.0330 memory: 5963 grad_norm: 2.0686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1126 loss: 0.1126 2022/08/05 13:13:31 - mmengine - INFO - Epoch(train) [5][200/746] lr: 1.0000e-02 eta: 0:22:33 time: 0.2287 data_time: 0.0320 memory: 5963 grad_norm: 1.6950 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0716 loss: 0.0716 2022/08/05 13:13:35 - mmengine - INFO - Epoch(train) [5][220/746] lr: 1.0000e-02 eta: 0:22:28 time: 0.2319 data_time: 0.0335 memory: 5963 grad_norm: 1.8364 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1110 loss: 0.1110 2022/08/05 13:13:40 - mmengine - INFO - Epoch(train) [5][240/746] lr: 1.0000e-02 eta: 0:22:24 time: 0.2321 data_time: 0.0326 memory: 5963 grad_norm: 1.5790 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0776 loss: 0.0776 2022/08/05 13:13:45 - mmengine - INFO - Epoch(train) [5][260/746] lr: 1.0000e-02 eta: 0:22:19 time: 0.2318 data_time: 0.0324 memory: 5963 grad_norm: 1.7386 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0419 loss: 0.0419 2022/08/05 13:13:49 - mmengine - INFO - Epoch(train) [5][280/746] lr: 1.0000e-02 eta: 0:22:14 time: 0.2324 data_time: 0.0353 memory: 5963 grad_norm: 1.7739 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0740 loss: 0.0740 2022/08/05 13:13:54 - mmengine - INFO - Epoch(train) [5][300/746] lr: 1.0000e-02 eta: 0:22:09 time: 0.2300 data_time: 0.0353 memory: 5963 grad_norm: 1.5236 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1325 loss: 0.1325 2022/08/05 13:13:58 - mmengine - INFO - Epoch(train) [5][320/746] lr: 1.0000e-02 eta: 0:22:04 time: 0.2327 data_time: 0.0330 memory: 5963 grad_norm: 1.4064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0520 loss: 0.0520 2022/08/05 13:14:03 - mmengine - INFO - Epoch(train) [5][340/746] lr: 1.0000e-02 eta: 0:22:00 time: 0.2306 data_time: 0.0377 memory: 5963 grad_norm: 1.6582 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0925 loss: 0.0925 2022/08/05 13:14:08 - mmengine - INFO - Epoch(train) [5][360/746] lr: 1.0000e-02 eta: 0:21:55 time: 0.2317 data_time: 0.0303 memory: 5963 grad_norm: 1.4951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0400 loss: 0.0400 2022/08/05 13:14:12 - mmengine - INFO - Epoch(train) [5][380/746] lr: 1.0000e-02 eta: 0:21:50 time: 0.2336 data_time: 0.0352 memory: 5963 grad_norm: 1.5202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0567 loss: 0.0567 2022/08/05 13:14:17 - mmengine - INFO - Epoch(train) [5][400/746] lr: 1.0000e-02 eta: 0:21:45 time: 0.2286 data_time: 0.0343 memory: 5963 grad_norm: 1.5244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0378 loss: 0.0378 2022/08/05 13:14:22 - mmengine - INFO - Epoch(train) [5][420/746] lr: 1.0000e-02 eta: 0:21:40 time: 0.2296 data_time: 0.0324 memory: 5963 grad_norm: 1.6676 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0748 loss: 0.0748 2022/08/05 13:14:26 - mmengine - INFO - Epoch(train) [5][440/746] lr: 1.0000e-02 eta: 0:21:36 time: 0.2299 data_time: 0.0302 memory: 5963 grad_norm: 1.7638 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0437 loss: 0.0437 2022/08/05 13:14:31 - mmengine - INFO - Epoch(train) [5][460/746] lr: 1.0000e-02 eta: 0:21:31 time: 0.2359 data_time: 0.0333 memory: 5963 grad_norm: 1.4023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0518 loss: 0.0518 2022/08/05 13:14:35 - mmengine - INFO - Epoch(train) [5][480/746] lr: 1.0000e-02 eta: 0:21:26 time: 0.2305 data_time: 0.0329 memory: 5963 grad_norm: 1.4072 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0958 loss: 0.0958 2022/08/05 13:14:40 - mmengine - INFO - Epoch(train) [5][500/746] lr: 1.0000e-02 eta: 0:21:21 time: 0.2303 data_time: 0.0324 memory: 5963 grad_norm: 1.6577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0710 loss: 0.0710 2022/08/05 13:14:45 - mmengine - INFO - Epoch(train) [5][520/746] lr: 1.0000e-02 eta: 0:21:17 time: 0.2312 data_time: 0.0358 memory: 5963 grad_norm: 1.4686 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0367 loss: 0.0367 2022/08/05 13:14:49 - mmengine - INFO - Epoch(train) [5][540/746] lr: 1.0000e-02 eta: 0:21:12 time: 0.2310 data_time: 0.0326 memory: 5963 grad_norm: 1.1975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0591 loss: 0.0591 2022/08/05 13:14:54 - mmengine - INFO - Epoch(train) [5][560/746] lr: 1.0000e-02 eta: 0:21:07 time: 0.2310 data_time: 0.0359 memory: 5963 grad_norm: 1.5874 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0787 loss: 0.0787 2022/08/05 13:14:59 - mmengine - INFO - Epoch(train) [5][580/746] lr: 1.0000e-02 eta: 0:21:02 time: 0.2369 data_time: 0.0378 memory: 5963 grad_norm: 1.4617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0843 loss: 0.0843 2022/08/05 13:15:03 - mmengine - INFO - Epoch(train) [5][600/746] lr: 1.0000e-02 eta: 0:20:58 time: 0.2309 data_time: 0.0321 memory: 5963 grad_norm: 1.5325 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1034 loss: 0.1034 2022/08/05 13:15:08 - mmengine - INFO - Epoch(train) [5][620/746] lr: 1.0000e-02 eta: 0:20:53 time: 0.2307 data_time: 0.0341 memory: 5963 grad_norm: 1.5525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0592 loss: 0.0592 2022/08/05 13:15:13 - mmengine - INFO - Epoch(train) [5][640/746] lr: 1.0000e-02 eta: 0:20:48 time: 0.2303 data_time: 0.0363 memory: 5963 grad_norm: 1.5755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0593 loss: 0.0593 2022/08/05 13:15:17 - mmengine - INFO - Epoch(train) [5][660/746] lr: 1.0000e-02 eta: 0:20:43 time: 0.2313 data_time: 0.0338 memory: 5963 grad_norm: 1.7116 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0783 loss: 0.0783 2022/08/05 13:15:22 - mmengine - INFO - Epoch(train) [5][680/746] lr: 1.0000e-02 eta: 0:20:38 time: 0.2314 data_time: 0.0316 memory: 5963 grad_norm: 1.6302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0694 loss: 0.0694 2022/08/05 13:15:26 - mmengine - INFO - Epoch(train) [5][700/746] lr: 1.0000e-02 eta: 0:20:34 time: 0.2338 data_time: 0.0371 memory: 5963 grad_norm: 1.4057 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0275 loss: 0.0275 2022/08/05 13:15:31 - mmengine - INFO - Epoch(train) [5][720/746] lr: 1.0000e-02 eta: 0:20:29 time: 0.2364 data_time: 0.0340 memory: 5963 grad_norm: 1.6599 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0905 loss: 0.0905 2022/08/05 13:15:36 - mmengine - INFO - Epoch(train) [5][740/746] lr: 1.0000e-02 eta: 0:20:24 time: 0.2171 data_time: 0.0320 memory: 5963 grad_norm: 1.5542 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0607 loss: 0.0607 2022/08/05 13:15:37 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:15:37 - mmengine - INFO - Epoch(train) [5][746/746] lr: 1.0000e-02 eta: 0:20:24 time: 0.2049 data_time: 0.0323 memory: 5963 grad_norm: 1.8994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0997 loss: 0.0997 2022/08/05 13:15:37 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/08/05 13:15:43 - mmengine - INFO - Epoch(val) [5][20/30] eta: 0:00:02 time: 0.2718 data_time: 0.1627 memory: 1452 2022/08/05 13:15:45 - mmengine - INFO - Epoch(val) [5][30/30] acc/top1: 0.8364 acc/top5: 0.9532 acc/mean1: 0.8347 2022/08/05 13:15:51 - mmengine - INFO - Epoch(train) [6][20/746] lr: 1.0000e-02 eta: 0:20:19 time: 0.3411 data_time: 0.0989 memory: 5963 grad_norm: 1.9780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0795 loss: 0.0795 2022/08/05 13:15:56 - mmengine - INFO - Epoch(train) [6][40/746] lr: 1.0000e-02 eta: 0:20:14 time: 0.2345 data_time: 0.0324 memory: 5963 grad_norm: 1.7983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0657 loss: 0.0657 2022/08/05 13:16:01 - mmengine - INFO - Epoch(train) [6][60/746] lr: 1.0000e-02 eta: 0:20:10 time: 0.2387 data_time: 0.0338 memory: 5963 grad_norm: 1.5018 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1212 loss: 0.1212 2022/08/05 13:16:05 - mmengine - INFO - Epoch(train) [6][80/746] lr: 1.0000e-02 eta: 0:20:05 time: 0.2284 data_time: 0.0322 memory: 5963 grad_norm: 1.7535 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0825 loss: 0.0825 2022/08/05 13:16:10 - mmengine - INFO - Epoch(train) [6][100/746] lr: 1.0000e-02 eta: 0:20:00 time: 0.2328 data_time: 0.0371 memory: 5963 grad_norm: 1.5702 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0659 loss: 0.0659 2022/08/05 13:16:15 - mmengine - INFO - Epoch(train) [6][120/746] lr: 1.0000e-02 eta: 0:19:55 time: 0.2380 data_time: 0.0328 memory: 5963 grad_norm: 1.4531 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0410 loss: 0.0410 2022/08/05 13:16:20 - mmengine - INFO - Epoch(train) [6][140/746] lr: 1.0000e-02 eta: 0:19:51 time: 0.2311 data_time: 0.0297 memory: 5963 grad_norm: 1.5070 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0726 loss: 0.0726 2022/08/05 13:16:24 - mmengine - INFO - Epoch(train) [6][160/746] lr: 1.0000e-02 eta: 0:19:46 time: 0.2317 data_time: 0.0354 memory: 5963 grad_norm: 1.5711 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0291 loss: 0.0291 2022/08/05 13:16:29 - mmengine - INFO - Epoch(train) [6][180/746] lr: 1.0000e-02 eta: 0:19:41 time: 0.2300 data_time: 0.0359 memory: 5963 grad_norm: 1.6148 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1035 loss: 0.1035 2022/08/05 13:16:33 - mmengine - INFO - Epoch(train) [6][200/746] lr: 1.0000e-02 eta: 0:19:36 time: 0.2285 data_time: 0.0322 memory: 5963 grad_norm: 1.4851 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0585 loss: 0.0585 2022/08/05 13:16:38 - mmengine - INFO - Epoch(train) [6][220/746] lr: 1.0000e-02 eta: 0:19:31 time: 0.2323 data_time: 0.0356 memory: 5963 grad_norm: 1.5657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0515 loss: 0.0515 2022/08/05 13:16:43 - mmengine - INFO - Epoch(train) [6][240/746] lr: 1.0000e-02 eta: 0:19:27 time: 0.2372 data_time: 0.0328 memory: 5963 grad_norm: 1.5193 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0408 loss: 0.0408 2022/08/05 13:16:47 - mmengine - INFO - Epoch(train) [6][260/746] lr: 1.0000e-02 eta: 0:19:22 time: 0.2315 data_time: 0.0324 memory: 5963 grad_norm: 1.2836 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0572 loss: 0.0572 2022/08/05 13:16:50 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:16:52 - mmengine - INFO - Epoch(train) [6][280/746] lr: 1.0000e-02 eta: 0:19:17 time: 0.2343 data_time: 0.0350 memory: 5963 grad_norm: 1.4198 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0490 loss: 0.0490 2022/08/05 13:16:57 - mmengine - INFO - Epoch(train) [6][300/746] lr: 1.0000e-02 eta: 0:19:13 time: 0.2328 data_time: 0.0347 memory: 5963 grad_norm: 1.3055 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0743 loss: 0.0743 2022/08/05 13:17:01 - mmengine - INFO - Epoch(train) [6][320/746] lr: 1.0000e-02 eta: 0:19:08 time: 0.2337 data_time: 0.0333 memory: 5963 grad_norm: 1.4505 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0531 loss: 0.0531 2022/08/05 13:17:06 - mmengine - INFO - Epoch(train) [6][340/746] lr: 1.0000e-02 eta: 0:19:03 time: 0.2349 data_time: 0.0365 memory: 5963 grad_norm: 1.6036 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0601 loss: 0.0601 2022/08/05 13:17:11 - mmengine - INFO - Epoch(train) [6][360/746] lr: 1.0000e-02 eta: 0:18:59 time: 0.2340 data_time: 0.0325 memory: 5963 grad_norm: 1.5409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0713 loss: 0.0713 2022/08/05 13:17:15 - mmengine - INFO - Epoch(train) [6][380/746] lr: 1.0000e-02 eta: 0:18:54 time: 0.2313 data_time: 0.0334 memory: 5963 grad_norm: 1.5198 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0694 loss: 0.0694 2022/08/05 13:17:20 - mmengine - INFO - Epoch(train) [6][400/746] lr: 1.0000e-02 eta: 0:18:49 time: 0.2323 data_time: 0.0381 memory: 5963 grad_norm: 1.5267 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0416 loss: 0.0416 2022/08/05 13:17:25 - mmengine - INFO - Epoch(train) [6][420/746] lr: 1.0000e-02 eta: 0:18:44 time: 0.2320 data_time: 0.0352 memory: 5963 grad_norm: 1.5585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0495 loss: 0.0495 2022/08/05 13:17:29 - mmengine - INFO - Epoch(train) [6][440/746] lr: 1.0000e-02 eta: 0:18:40 time: 0.2332 data_time: 0.0317 memory: 5963 grad_norm: 1.8334 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0753 loss: 0.0753 2022/08/05 13:17:34 - mmengine - INFO - Epoch(train) [6][460/746] lr: 1.0000e-02 eta: 0:18:35 time: 0.2337 data_time: 0.0374 memory: 5963 grad_norm: 1.5178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0485 loss: 0.0485 2022/08/05 13:17:39 - mmengine - INFO - Epoch(train) [6][480/746] lr: 1.0000e-02 eta: 0:18:30 time: 0.2350 data_time: 0.0323 memory: 5963 grad_norm: 1.3983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0335 loss: 0.0335 2022/08/05 13:17:43 - mmengine - INFO - Epoch(train) [6][500/746] lr: 1.0000e-02 eta: 0:18:26 time: 0.2316 data_time: 0.0347 memory: 5963 grad_norm: 1.5738 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0493 loss: 0.0493 2022/08/05 13:17:48 - mmengine - INFO - Epoch(train) [6][520/746] lr: 1.0000e-02 eta: 0:18:21 time: 0.2336 data_time: 0.0340 memory: 5963 grad_norm: 1.3745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0698 loss: 0.0698 2022/08/05 13:17:53 - mmengine - INFO - Epoch(train) [6][540/746] lr: 1.0000e-02 eta: 0:18:16 time: 0.2273 data_time: 0.0321 memory: 5963 grad_norm: 1.4671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0651 loss: 0.0651 2022/08/05 13:17:57 - mmengine - INFO - Epoch(train) [6][560/746] lr: 1.0000e-02 eta: 0:18:11 time: 0.2310 data_time: 0.0341 memory: 5963 grad_norm: 1.4967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0346 loss: 0.0346 2022/08/05 13:18:02 - mmengine - INFO - Epoch(train) [6][580/746] lr: 1.0000e-02 eta: 0:18:07 time: 0.2346 data_time: 0.0357 memory: 5963 grad_norm: 1.5544 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0483 loss: 0.0483 2022/08/05 13:18:06 - mmengine - INFO - Epoch(train) [6][600/746] lr: 1.0000e-02 eta: 0:18:02 time: 0.2299 data_time: 0.0314 memory: 5963 grad_norm: 1.4437 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0750 loss: 0.0750 2022/08/05 13:18:11 - mmengine - INFO - Epoch(train) [6][620/746] lr: 1.0000e-02 eta: 0:17:57 time: 0.2319 data_time: 0.0348 memory: 5963 grad_norm: 1.4677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0408 loss: 0.0408 2022/08/05 13:18:16 - mmengine - INFO - Epoch(train) [6][640/746] lr: 1.0000e-02 eta: 0:17:53 time: 0.2391 data_time: 0.0355 memory: 5963 grad_norm: 1.4300 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0651 loss: 0.0651 2022/08/05 13:18:21 - mmengine - INFO - Epoch(train) [6][660/746] lr: 1.0000e-02 eta: 0:17:48 time: 0.2414 data_time: 0.0318 memory: 5963 grad_norm: 1.5671 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0607 loss: 0.0607 2022/08/05 13:18:25 - mmengine - INFO - Epoch(train) [6][680/746] lr: 1.0000e-02 eta: 0:17:43 time: 0.2304 data_time: 0.0324 memory: 5963 grad_norm: 1.6623 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0645 loss: 0.0645 2022/08/05 13:18:30 - mmengine - INFO - Epoch(train) [6][700/746] lr: 1.0000e-02 eta: 0:17:39 time: 0.2329 data_time: 0.0345 memory: 5963 grad_norm: 1.6115 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0769 loss: 0.0769 2022/08/05 13:18:35 - mmengine - INFO - Epoch(train) [6][720/746] lr: 1.0000e-02 eta: 0:17:34 time: 0.2339 data_time: 0.0348 memory: 5963 grad_norm: 1.7894 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0592 loss: 0.0592 2022/08/05 13:18:39 - mmengine - INFO - Epoch(train) [6][740/746] lr: 1.0000e-02 eta: 0:17:29 time: 0.2201 data_time: 0.0338 memory: 5963 grad_norm: 1.5799 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0487 loss: 0.0487 2022/08/05 13:18:40 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:18:40 - mmengine - INFO - Epoch(train) [6][746/746] lr: 1.0000e-02 eta: 0:17:29 time: 0.2089 data_time: 0.0345 memory: 5963 grad_norm: 1.9278 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0797 loss: 0.0797 2022/08/05 13:18:40 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/05 13:18:47 - mmengine - INFO - Epoch(val) [6][20/30] eta: 0:00:02 time: 0.2738 data_time: 0.1625 memory: 1452 2022/08/05 13:18:48 - mmengine - INFO - Epoch(val) [6][30/30] acc/top1: 0.8432 acc/top5: 0.9582 acc/mean1: 0.8427 2022/08/05 13:18:55 - mmengine - INFO - Epoch(train) [7][20/746] lr: 1.0000e-02 eta: 0:17:23 time: 0.3301 data_time: 0.1201 memory: 5963 grad_norm: 1.4252 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0503 loss: 0.0503 2022/08/05 13:19:00 - mmengine - INFO - Epoch(train) [7][40/746] lr: 1.0000e-02 eta: 0:17:19 time: 0.2329 data_time: 0.0345 memory: 5963 grad_norm: 1.8555 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0636 loss: 0.0636 2022/08/05 13:19:04 - mmengine - INFO - Epoch(train) [7][60/746] lr: 1.0000e-02 eta: 0:17:14 time: 0.2308 data_time: 0.0323 memory: 5963 grad_norm: 2.0811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0762 loss: 0.0762 2022/08/05 13:19:09 - mmengine - INFO - Epoch(train) [7][80/746] lr: 1.0000e-02 eta: 0:17:09 time: 0.2316 data_time: 0.0338 memory: 5963 grad_norm: 1.6050 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0789 loss: 0.0789 2022/08/05 13:19:13 - mmengine - INFO - Epoch(train) [7][100/746] lr: 1.0000e-02 eta: 0:17:04 time: 0.2308 data_time: 0.0358 memory: 5963 grad_norm: 1.6137 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0606 loss: 0.0606 2022/08/05 13:19:18 - mmengine - INFO - Epoch(train) [7][120/746] lr: 1.0000e-02 eta: 0:17:00 time: 0.2333 data_time: 0.0345 memory: 5963 grad_norm: 1.4881 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0421 loss: 0.0421 2022/08/05 13:19:23 - mmengine - INFO - Epoch(train) [7][140/746] lr: 1.0000e-02 eta: 0:16:55 time: 0.2306 data_time: 0.0339 memory: 5963 grad_norm: 1.6549 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0651 loss: 0.0651 2022/08/05 13:19:27 - mmengine - INFO - Epoch(train) [7][160/746] lr: 1.0000e-02 eta: 0:16:50 time: 0.2324 data_time: 0.0354 memory: 5963 grad_norm: 1.7458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0701 loss: 0.0701 2022/08/05 13:19:32 - mmengine - INFO - Epoch(train) [7][180/746] lr: 1.0000e-02 eta: 0:16:45 time: 0.2335 data_time: 0.0330 memory: 5963 grad_norm: 1.7012 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0627 loss: 0.0627 2022/08/05 13:19:37 - mmengine - INFO - Epoch(train) [7][200/746] lr: 1.0000e-02 eta: 0:16:41 time: 0.2295 data_time: 0.0307 memory: 5963 grad_norm: 1.8031 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0593 loss: 0.0593 2022/08/05 13:19:41 - mmengine - INFO - Epoch(train) [7][220/746] lr: 1.0000e-02 eta: 0:16:36 time: 0.2314 data_time: 0.0352 memory: 5963 grad_norm: 1.6822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0402 loss: 0.0402 2022/08/05 13:19:46 - mmengine - INFO - Epoch(train) [7][240/746] lr: 1.0000e-02 eta: 0:16:31 time: 0.2329 data_time: 0.0337 memory: 5963 grad_norm: 1.5206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0573 loss: 0.0573 2022/08/05 13:19:50 - mmengine - INFO - Epoch(train) [7][260/746] lr: 1.0000e-02 eta: 0:16:27 time: 0.2317 data_time: 0.0321 memory: 5963 grad_norm: 1.7225 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0467 loss: 0.0467 2022/08/05 13:19:55 - mmengine - INFO - Epoch(train) [7][280/746] lr: 1.0000e-02 eta: 0:16:22 time: 0.2286 data_time: 0.0357 memory: 5963 grad_norm: 1.4966 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0658 loss: 0.0658 2022/08/05 13:20:00 - mmengine - INFO - Epoch(train) [7][300/746] lr: 1.0000e-02 eta: 0:16:17 time: 0.2324 data_time: 0.0326 memory: 5963 grad_norm: 1.4401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0857 loss: 0.0857 2022/08/05 13:20:04 - mmengine - INFO - Epoch(train) [7][320/746] lr: 1.0000e-02 eta: 0:16:12 time: 0.2309 data_time: 0.0334 memory: 5963 grad_norm: 1.6176 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0468 loss: 0.0468 2022/08/05 13:20:09 - mmengine - INFO - Epoch(train) [7][340/746] lr: 1.0000e-02 eta: 0:16:08 time: 0.2333 data_time: 0.0370 memory: 5963 grad_norm: 1.4975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0348 loss: 0.0348 2022/08/05 13:20:14 - mmengine - INFO - Epoch(train) [7][360/746] lr: 1.0000e-02 eta: 0:16:03 time: 0.2283 data_time: 0.0319 memory: 5963 grad_norm: 1.5230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0553 loss: 0.0553 2022/08/05 13:20:18 - mmengine - INFO - Epoch(train) [7][380/746] lr: 1.0000e-02 eta: 0:15:58 time: 0.2307 data_time: 0.0331 memory: 5963 grad_norm: 1.6287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0652 loss: 0.0652 2022/08/05 13:20:23 - mmengine - INFO - Epoch(train) [7][400/746] lr: 1.0000e-02 eta: 0:15:53 time: 0.2317 data_time: 0.0386 memory: 5963 grad_norm: 1.4036 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0222 loss: 0.0222 2022/08/05 13:20:27 - mmengine - INFO - Epoch(train) [7][420/746] lr: 1.0000e-02 eta: 0:15:49 time: 0.2310 data_time: 0.0336 memory: 5963 grad_norm: 1.0779 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0366 loss: 0.0366 2022/08/05 13:20:32 - mmengine - INFO - Epoch(train) [7][440/746] lr: 1.0000e-02 eta: 0:15:44 time: 0.2344 data_time: 0.0310 memory: 5963 grad_norm: 1.2666 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0630 loss: 0.0630 2022/08/05 13:20:37 - mmengine - INFO - Epoch(train) [7][460/746] lr: 1.0000e-02 eta: 0:15:39 time: 0.2325 data_time: 0.0343 memory: 5963 grad_norm: 1.5258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0447 loss: 0.0447 2022/08/05 13:20:41 - mmengine - INFO - Epoch(train) [7][480/746] lr: 1.0000e-02 eta: 0:15:35 time: 0.2319 data_time: 0.0331 memory: 5963 grad_norm: 1.4696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0493 loss: 0.0493 2022/08/05 13:20:46 - mmengine - INFO - Epoch(train) [7][500/746] lr: 1.0000e-02 eta: 0:15:30 time: 0.2287 data_time: 0.0311 memory: 5963 grad_norm: 1.3984 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0452 loss: 0.0452 2022/08/05 13:20:51 - mmengine - INFO - Epoch(train) [7][520/746] lr: 1.0000e-02 eta: 0:15:25 time: 0.2353 data_time: 0.0421 memory: 5963 grad_norm: 1.1779 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0693 loss: 0.0693 2022/08/05 13:20:52 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:20:55 - mmengine - INFO - Epoch(train) [7][540/746] lr: 1.0000e-02 eta: 0:15:20 time: 0.2300 data_time: 0.0321 memory: 5963 grad_norm: 1.2894 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0453 loss: 0.0453 2022/08/05 13:21:00 - mmengine - INFO - Epoch(train) [7][560/746] lr: 1.0000e-02 eta: 0:15:16 time: 0.2323 data_time: 0.0320 memory: 5963 grad_norm: 1.4172 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0809 loss: 0.0809 2022/08/05 13:21:05 - mmengine - INFO - Epoch(train) [7][580/746] lr: 1.0000e-02 eta: 0:15:11 time: 0.2296 data_time: 0.0364 memory: 5963 grad_norm: 1.3869 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0518 loss: 0.0518 2022/08/05 13:21:09 - mmengine - INFO - Epoch(train) [7][600/746] lr: 1.0000e-02 eta: 0:15:06 time: 0.2319 data_time: 0.0334 memory: 5963 grad_norm: 1.3136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0574 loss: 0.0574 2022/08/05 13:21:14 - mmengine - INFO - Epoch(train) [7][620/746] lr: 1.0000e-02 eta: 0:15:01 time: 0.2273 data_time: 0.0307 memory: 5963 grad_norm: 1.1407 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0318 loss: 0.0318 2022/08/05 13:21:18 - mmengine - INFO - Epoch(train) [7][640/746] lr: 1.0000e-02 eta: 0:14:57 time: 0.2315 data_time: 0.0362 memory: 5963 grad_norm: 1.4126 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0513 loss: 0.0513 2022/08/05 13:21:23 - mmengine - INFO - Epoch(train) [7][660/746] lr: 1.0000e-02 eta: 0:14:52 time: 0.2298 data_time: 0.0336 memory: 5963 grad_norm: 1.5313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0433 loss: 0.0433 2022/08/05 13:21:28 - mmengine - INFO - Epoch(train) [7][680/746] lr: 1.0000e-02 eta: 0:14:47 time: 0.2321 data_time: 0.0321 memory: 5963 grad_norm: 1.2924 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0236 loss: 0.0236 2022/08/05 13:21:32 - mmengine - INFO - Epoch(train) [7][700/746] lr: 1.0000e-02 eta: 0:14:43 time: 0.2390 data_time: 0.0393 memory: 5963 grad_norm: 1.0951 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0550 loss: 0.0550 2022/08/05 13:21:37 - mmengine - INFO - Epoch(train) [7][720/746] lr: 1.0000e-02 eta: 0:14:38 time: 0.2300 data_time: 0.0329 memory: 5963 grad_norm: 1.2392 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0321 loss: 0.0321 2022/08/05 13:21:41 - mmengine - INFO - Epoch(train) [7][740/746] lr: 1.0000e-02 eta: 0:14:33 time: 0.2191 data_time: 0.0304 memory: 5963 grad_norm: 1.1992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0586 loss: 0.0586 2022/08/05 13:21:42 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:21:42 - mmengine - INFO - Epoch(train) [7][746/746] lr: 1.0000e-02 eta: 0:14:33 time: 0.2041 data_time: 0.0316 memory: 5963 grad_norm: 1.6061 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.1672 loss: 0.1672 2022/08/05 13:21:43 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/08/05 13:21:49 - mmengine - INFO - Epoch(val) [7][20/30] eta: 0:00:02 time: 0.2696 data_time: 0.1581 memory: 1452 2022/08/05 13:21:50 - mmengine - INFO - Epoch(val) [7][30/30] acc/top1: 0.8480 acc/top5: 0.9596 acc/mean1: 0.8482 2022/08/05 13:21:57 - mmengine - INFO - Epoch(train) [8][20/746] lr: 1.0000e-02 eta: 0:14:27 time: 0.3266 data_time: 0.0906 memory: 5963 grad_norm: 1.7874 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0462 loss: 0.0462 2022/08/05 13:22:02 - mmengine - INFO - Epoch(train) [8][40/746] lr: 1.0000e-02 eta: 0:14:23 time: 0.2308 data_time: 0.0351 memory: 5963 grad_norm: 1.5094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0738 loss: 0.0738 2022/08/05 13:22:06 - mmengine - INFO - Epoch(train) [8][60/746] lr: 1.0000e-02 eta: 0:14:18 time: 0.2272 data_time: 0.0342 memory: 5963 grad_norm: 1.3366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0510 loss: 0.0510 2022/08/05 13:22:11 - mmengine - INFO - Epoch(train) [8][80/746] lr: 1.0000e-02 eta: 0:14:13 time: 0.2321 data_time: 0.0349 memory: 5963 grad_norm: 1.4300 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0331 loss: 0.0331 2022/08/05 13:22:15 - mmengine - INFO - Epoch(train) [8][100/746] lr: 1.0000e-02 eta: 0:14:08 time: 0.2296 data_time: 0.0342 memory: 5963 grad_norm: 1.5723 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0630 loss: 0.0630 2022/08/05 13:22:20 - mmengine - INFO - Epoch(train) [8][120/746] lr: 1.0000e-02 eta: 0:14:04 time: 0.2283 data_time: 0.0312 memory: 5963 grad_norm: 1.6877 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0509 loss: 0.0509 2022/08/05 13:22:25 - mmengine - INFO - Epoch(train) [8][140/746] lr: 1.0000e-02 eta: 0:13:59 time: 0.2288 data_time: 0.0342 memory: 5963 grad_norm: 1.2580 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0863 loss: 0.0863 2022/08/05 13:22:29 - mmengine - INFO - Epoch(train) [8][160/746] lr: 1.0000e-02 eta: 0:13:54 time: 0.2326 data_time: 0.0360 memory: 5963 grad_norm: 1.1627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0345 loss: 0.0345 2022/08/05 13:22:34 - mmengine - INFO - Epoch(train) [8][180/746] lr: 1.0000e-02 eta: 0:13:49 time: 0.2291 data_time: 0.0310 memory: 5963 grad_norm: 1.5443 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0480 loss: 0.0480 2022/08/05 13:22:38 - mmengine - INFO - Epoch(train) [8][200/746] lr: 1.0000e-02 eta: 0:13:45 time: 0.2312 data_time: 0.0337 memory: 5963 grad_norm: 1.2570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0481 loss: 0.0481 2022/08/05 13:22:43 - mmengine - INFO - Epoch(train) [8][220/746] lr: 1.0000e-02 eta: 0:13:40 time: 0.2289 data_time: 0.0353 memory: 5963 grad_norm: 1.3924 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0702 loss: 0.0702 2022/08/05 13:22:48 - mmengine - INFO - Epoch(train) [8][240/746] lr: 1.0000e-02 eta: 0:13:35 time: 0.2305 data_time: 0.0328 memory: 5963 grad_norm: 1.3544 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0826 loss: 0.0826 2022/08/05 13:22:52 - mmengine - INFO - Epoch(train) [8][260/746] lr: 1.0000e-02 eta: 0:13:31 time: 0.2331 data_time: 0.0347 memory: 5963 grad_norm: 1.3118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0861 loss: 0.0861 2022/08/05 13:22:57 - mmengine - INFO - Epoch(train) [8][280/746] lr: 1.0000e-02 eta: 0:13:26 time: 0.2322 data_time: 0.0348 memory: 5963 grad_norm: 1.2150 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0398 loss: 0.0398 2022/08/05 13:23:02 - mmengine - INFO - Epoch(train) [8][300/746] lr: 1.0000e-02 eta: 0:13:21 time: 0.2333 data_time: 0.0336 memory: 5963 grad_norm: 1.2774 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0393 loss: 0.0393 2022/08/05 13:23:06 - mmengine - INFO - Epoch(train) [8][320/746] lr: 1.0000e-02 eta: 0:13:16 time: 0.2262 data_time: 0.0318 memory: 5963 grad_norm: 1.3194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0501 loss: 0.0501 2022/08/05 13:23:11 - mmengine - INFO - Epoch(train) [8][340/746] lr: 1.0000e-02 eta: 0:13:12 time: 0.2328 data_time: 0.0378 memory: 5963 grad_norm: 1.4161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0461 loss: 0.0461 2022/08/05 13:23:15 - mmengine - INFO - Epoch(train) [8][360/746] lr: 1.0000e-02 eta: 0:13:07 time: 0.2291 data_time: 0.0327 memory: 5963 grad_norm: 1.3354 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0432 loss: 0.0432 2022/08/05 13:23:20 - mmengine - INFO - Epoch(train) [8][380/746] lr: 1.0000e-02 eta: 0:13:02 time: 0.2314 data_time: 0.0324 memory: 5963 grad_norm: 1.5046 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0557 loss: 0.0557 2022/08/05 13:23:25 - mmengine - INFO - Epoch(train) [8][400/746] lr: 1.0000e-02 eta: 0:12:58 time: 0.2340 data_time: 0.0398 memory: 5963 grad_norm: 1.2824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0296 loss: 0.0296 2022/08/05 13:23:29 - mmengine - INFO - Epoch(train) [8][420/746] lr: 1.0000e-02 eta: 0:12:53 time: 0.2312 data_time: 0.0332 memory: 5963 grad_norm: 1.2455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0338 loss: 0.0338 2022/08/05 13:23:34 - mmengine - INFO - Epoch(train) [8][440/746] lr: 1.0000e-02 eta: 0:12:48 time: 0.2291 data_time: 0.0332 memory: 5963 grad_norm: 1.1422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0575 loss: 0.0575 2022/08/05 13:23:39 - mmengine - INFO - Epoch(train) [8][460/746] lr: 1.0000e-02 eta: 0:12:44 time: 0.2327 data_time: 0.0348 memory: 5963 grad_norm: 1.4603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0216 loss: 0.0216 2022/08/05 13:23:43 - mmengine - INFO - Epoch(train) [8][480/746] lr: 1.0000e-02 eta: 0:12:39 time: 0.2321 data_time: 0.0357 memory: 5963 grad_norm: 1.0931 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0212 loss: 0.0212 2022/08/05 13:23:48 - mmengine - INFO - Epoch(train) [8][500/746] lr: 1.0000e-02 eta: 0:12:34 time: 0.2351 data_time: 0.0314 memory: 5963 grad_norm: 1.3008 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0285 loss: 0.0285 2022/08/05 13:23:53 - mmengine - INFO - Epoch(train) [8][520/746] lr: 1.0000e-02 eta: 0:12:30 time: 0.2344 data_time: 0.0349 memory: 5963 grad_norm: 1.4002 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0564 loss: 0.0564 2022/08/05 13:23:57 - mmengine - INFO - Epoch(train) [8][540/746] lr: 1.0000e-02 eta: 0:12:25 time: 0.2292 data_time: 0.0319 memory: 5963 grad_norm: 1.4993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0364 loss: 0.0364 2022/08/05 13:24:02 - mmengine - INFO - Epoch(train) [8][560/746] lr: 1.0000e-02 eta: 0:12:20 time: 0.2315 data_time: 0.0326 memory: 5963 grad_norm: 1.1633 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0366 loss: 0.0366 2022/08/05 13:24:06 - mmengine - INFO - Epoch(train) [8][580/746] lr: 1.0000e-02 eta: 0:12:15 time: 0.2327 data_time: 0.0346 memory: 5963 grad_norm: 1.4856 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0528 loss: 0.0528 2022/08/05 13:24:11 - mmengine - INFO - Epoch(train) [8][600/746] lr: 1.0000e-02 eta: 0:12:11 time: 0.2295 data_time: 0.0332 memory: 5963 grad_norm: 1.5118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0638 loss: 0.0638 2022/08/05 13:24:16 - mmengine - INFO - Epoch(train) [8][620/746] lr: 1.0000e-02 eta: 0:12:06 time: 0.2286 data_time: 0.0339 memory: 5963 grad_norm: 1.3209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0357 loss: 0.0357 2022/08/05 13:24:20 - mmengine - INFO - Epoch(train) [8][640/746] lr: 1.0000e-02 eta: 0:12:01 time: 0.2314 data_time: 0.0353 memory: 5963 grad_norm: 1.2937 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0593 loss: 0.0593 2022/08/05 13:24:25 - mmengine - INFO - Epoch(train) [8][660/746] lr: 1.0000e-02 eta: 0:11:57 time: 0.2296 data_time: 0.0339 memory: 5963 grad_norm: 1.0065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0327 loss: 0.0327 2022/08/05 13:24:30 - mmengine - INFO - Epoch(train) [8][680/746] lr: 1.0000e-02 eta: 0:11:52 time: 0.2326 data_time: 0.0346 memory: 5963 grad_norm: 1.0836 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0240 loss: 0.0240 2022/08/05 13:24:34 - mmengine - INFO - Epoch(train) [8][700/746] lr: 1.0000e-02 eta: 0:11:47 time: 0.2333 data_time: 0.0334 memory: 5963 grad_norm: 1.3133 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0647 loss: 0.0647 2022/08/05 13:24:39 - mmengine - INFO - Epoch(train) [8][720/746] lr: 1.0000e-02 eta: 0:11:43 time: 0.2285 data_time: 0.0323 memory: 5963 grad_norm: 1.0679 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0358 loss: 0.0358 2022/08/05 13:24:43 - mmengine - INFO - Epoch(train) [8][740/746] lr: 1.0000e-02 eta: 0:11:38 time: 0.2219 data_time: 0.0338 memory: 5963 grad_norm: 1.1494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0473 loss: 0.0473 2022/08/05 13:24:44 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:24:44 - mmengine - INFO - Epoch(train) [8][746/746] lr: 1.0000e-02 eta: 0:11:38 time: 0.2063 data_time: 0.0332 memory: 5963 grad_norm: 1.7879 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.1454 loss: 0.1454 2022/08/05 13:24:44 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/05 13:24:51 - mmengine - INFO - Epoch(val) [8][20/30] eta: 0:00:02 time: 0.2712 data_time: 0.1663 memory: 1452 2022/08/05 13:24:52 - mmengine - INFO - Epoch(val) [8][30/30] acc/top1: 0.8438 acc/top5: 0.9551 acc/mean1: 0.8425 2022/08/05 13:24:59 - mmengine - INFO - Epoch(train) [9][20/746] lr: 1.0000e-02 eta: 0:11:32 time: 0.3384 data_time: 0.1013 memory: 5963 grad_norm: 1.7840 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1185 loss: 0.1185 2022/08/05 13:25:02 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:25:04 - mmengine - INFO - Epoch(train) [9][40/746] lr: 1.0000e-02 eta: 0:11:27 time: 0.2347 data_time: 0.0377 memory: 5963 grad_norm: 1.6418 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0673 loss: 0.0673 2022/08/05 13:25:09 - mmengine - INFO - Epoch(train) [9][60/746] lr: 1.0000e-02 eta: 0:11:23 time: 0.2291 data_time: 0.0342 memory: 5963 grad_norm: 1.6256 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0312 loss: 0.0312 2022/08/05 13:25:13 - mmengine - INFO - Epoch(train) [9][80/746] lr: 1.0000e-02 eta: 0:11:18 time: 0.2308 data_time: 0.0326 memory: 5963 grad_norm: 1.6173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0359 loss: 0.0359 2022/08/05 13:25:18 - mmengine - INFO - Epoch(train) [9][100/746] lr: 1.0000e-02 eta: 0:11:13 time: 0.2311 data_time: 0.0349 memory: 5963 grad_norm: 1.4684 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0624 loss: 0.0624 2022/08/05 13:25:23 - mmengine - INFO - Epoch(train) [9][120/746] lr: 1.0000e-02 eta: 0:11:09 time: 0.2343 data_time: 0.0306 memory: 5963 grad_norm: 1.3926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0260 loss: 0.0260 2022/08/05 13:25:27 - mmengine - INFO - Epoch(train) [9][140/746] lr: 1.0000e-02 eta: 0:11:04 time: 0.2302 data_time: 0.0325 memory: 5963 grad_norm: 1.1014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0298 loss: 0.0298 2022/08/05 13:25:32 - mmengine - INFO - Epoch(train) [9][160/746] lr: 1.0000e-02 eta: 0:10:59 time: 0.2337 data_time: 0.0353 memory: 5963 grad_norm: 1.3924 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0497 loss: 0.0497 2022/08/05 13:25:36 - mmengine - INFO - Epoch(train) [9][180/746] lr: 1.0000e-02 eta: 0:10:55 time: 0.2318 data_time: 0.0346 memory: 5963 grad_norm: 1.2708 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0665 loss: 0.0665 2022/08/05 13:25:41 - mmengine - INFO - Epoch(train) [9][200/746] lr: 1.0000e-02 eta: 0:10:50 time: 0.2330 data_time: 0.0390 memory: 5963 grad_norm: 1.2254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0267 loss: 0.0267 2022/08/05 13:25:46 - mmengine - INFO - Epoch(train) [9][220/746] lr: 1.0000e-02 eta: 0:10:45 time: 0.2299 data_time: 0.0334 memory: 5963 grad_norm: 1.1179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0207 loss: 0.0207 2022/08/05 13:25:50 - mmengine - INFO - Epoch(train) [9][240/746] lr: 1.0000e-02 eta: 0:10:40 time: 0.2298 data_time: 0.0321 memory: 5963 grad_norm: 1.7246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0471 loss: 0.0471 2022/08/05 13:25:55 - mmengine - INFO - Epoch(train) [9][260/746] lr: 1.0000e-02 eta: 0:10:36 time: 0.2286 data_time: 0.0302 memory: 5963 grad_norm: 1.3421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0490 loss: 0.0490 2022/08/05 13:26:00 - mmengine - INFO - Epoch(train) [9][280/746] lr: 1.0000e-02 eta: 0:10:31 time: 0.2341 data_time: 0.0366 memory: 5963 grad_norm: 1.9785 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0680 loss: 0.0680 2022/08/05 13:26:04 - mmengine - INFO - Epoch(train) [9][300/746] lr: 1.0000e-02 eta: 0:10:26 time: 0.2306 data_time: 0.0321 memory: 5963 grad_norm: 1.5956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0507 loss: 0.0507 2022/08/05 13:26:09 - mmengine - INFO - Epoch(train) [9][320/746] lr: 1.0000e-02 eta: 0:10:22 time: 0.2283 data_time: 0.0323 memory: 5963 grad_norm: 1.6996 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0385 loss: 0.0385 2022/08/05 13:26:13 - mmengine - INFO - Epoch(train) [9][340/746] lr: 1.0000e-02 eta: 0:10:17 time: 0.2314 data_time: 0.0366 memory: 5963 grad_norm: 1.4859 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0251 loss: 0.0251 2022/08/05 13:26:18 - mmengine - INFO - Epoch(train) [9][360/746] lr: 1.0000e-02 eta: 0:10:12 time: 0.2331 data_time: 0.0332 memory: 5963 grad_norm: 1.4013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0353 loss: 0.0353 2022/08/05 13:26:23 - mmengine - INFO - Epoch(train) [9][380/746] lr: 1.0000e-02 eta: 0:10:08 time: 0.2305 data_time: 0.0337 memory: 5963 grad_norm: 1.0513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0215 loss: 0.0215 2022/08/05 13:26:27 - mmengine - INFO - Epoch(train) [9][400/746] lr: 1.0000e-02 eta: 0:10:03 time: 0.2286 data_time: 0.0345 memory: 5963 grad_norm: 1.3718 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0329 loss: 0.0329 2022/08/05 13:26:32 - mmengine - INFO - Epoch(train) [9][420/746] lr: 1.0000e-02 eta: 0:09:58 time: 0.2353 data_time: 0.0315 memory: 5963 grad_norm: 1.5383 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0531 loss: 0.0531 2022/08/05 13:26:37 - mmengine - INFO - Epoch(train) [9][440/746] lr: 1.0000e-02 eta: 0:09:54 time: 0.2312 data_time: 0.0344 memory: 5963 grad_norm: 1.3682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0500 loss: 0.0500 2022/08/05 13:26:41 - mmengine - INFO - Epoch(train) [9][460/746] lr: 1.0000e-02 eta: 0:09:49 time: 0.2335 data_time: 0.0370 memory: 5963 grad_norm: 1.2372 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0294 loss: 0.0294 2022/08/05 13:26:46 - mmengine - INFO - Epoch(train) [9][480/746] lr: 1.0000e-02 eta: 0:09:44 time: 0.2376 data_time: 0.0352 memory: 5963 grad_norm: 1.3187 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0680 loss: 0.0680 2022/08/05 13:26:51 - mmengine - INFO - Epoch(train) [9][500/746] lr: 1.0000e-02 eta: 0:09:40 time: 0.2312 data_time: 0.0339 memory: 5963 grad_norm: 1.2592 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0437 loss: 0.0437 2022/08/05 13:26:55 - mmengine - INFO - Epoch(train) [9][520/746] lr: 1.0000e-02 eta: 0:09:35 time: 0.2350 data_time: 0.0350 memory: 5963 grad_norm: 1.2503 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0286 loss: 0.0286 2022/08/05 13:27:00 - mmengine - INFO - Epoch(train) [9][540/746] lr: 1.0000e-02 eta: 0:09:30 time: 0.2340 data_time: 0.0334 memory: 5963 grad_norm: 1.3072 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0503 loss: 0.0503 2022/08/05 13:27:05 - mmengine - INFO - Epoch(train) [9][560/746] lr: 1.0000e-02 eta: 0:09:25 time: 0.2287 data_time: 0.0318 memory: 5963 grad_norm: 1.3267 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0413 loss: 0.0413 2022/08/05 13:27:09 - mmengine - INFO - Epoch(train) [9][580/746] lr: 1.0000e-02 eta: 0:09:21 time: 0.2351 data_time: 0.0352 memory: 5963 grad_norm: 1.4434 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0507 loss: 0.0507 2022/08/05 13:27:14 - mmengine - INFO - Epoch(train) [9][600/746] lr: 1.0000e-02 eta: 0:09:16 time: 0.2283 data_time: 0.0323 memory: 5963 grad_norm: 1.2335 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0381 loss: 0.0381 2022/08/05 13:27:18 - mmengine - INFO - Epoch(train) [9][620/746] lr: 1.0000e-02 eta: 0:09:11 time: 0.2275 data_time: 0.0328 memory: 5963 grad_norm: 1.2912 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0404 loss: 0.0404 2022/08/05 13:27:23 - mmengine - INFO - Epoch(train) [9][640/746] lr: 1.0000e-02 eta: 0:09:07 time: 0.2309 data_time: 0.0353 memory: 5963 grad_norm: 1.1932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0292 loss: 0.0292 2022/08/05 13:27:28 - mmengine - INFO - Epoch(train) [9][660/746] lr: 1.0000e-02 eta: 0:09:02 time: 0.2299 data_time: 0.0317 memory: 5963 grad_norm: 1.6785 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0574 loss: 0.0574 2022/08/05 13:27:32 - mmengine - INFO - Epoch(train) [9][680/746] lr: 1.0000e-02 eta: 0:08:57 time: 0.2340 data_time: 0.0321 memory: 5963 grad_norm: 1.3469 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0404 loss: 0.0404 2022/08/05 13:27:37 - mmengine - INFO - Epoch(train) [9][700/746] lr: 1.0000e-02 eta: 0:08:53 time: 0.2299 data_time: 0.0359 memory: 5963 grad_norm: 1.4870 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0509 loss: 0.0509 2022/08/05 13:27:42 - mmengine - INFO - Epoch(train) [9][720/746] lr: 1.0000e-02 eta: 0:08:48 time: 0.2408 data_time: 0.0333 memory: 5963 grad_norm: 1.6595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0691 loss: 0.0691 2022/08/05 13:27:46 - mmengine - INFO - Epoch(train) [9][740/746] lr: 1.0000e-02 eta: 0:08:43 time: 0.2203 data_time: 0.0297 memory: 5963 grad_norm: 1.4644 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0418 loss: 0.0418 2022/08/05 13:27:47 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:27:47 - mmengine - INFO - Epoch(train) [9][746/746] lr: 1.0000e-02 eta: 0:08:43 time: 0.2084 data_time: 0.0321 memory: 5963 grad_norm: 2.0569 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 0.1557 loss: 0.1557 2022/08/05 13:27:47 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/05 13:27:54 - mmengine - INFO - Epoch(val) [9][20/30] eta: 0:00:02 time: 0.2714 data_time: 0.1642 memory: 1452 2022/08/05 13:27:55 - mmengine - INFO - Epoch(val) [9][30/30] acc/top1: 0.8451 acc/top5: 0.9617 acc/mean1: 0.8440 2022/08/05 13:28:02 - mmengine - INFO - Epoch(train) [10][20/746] lr: 1.0000e-03 eta: 0:08:37 time: 0.3375 data_time: 0.0752 memory: 5963 grad_norm: 1.3495 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0372 loss: 0.0372 2022/08/05 13:28:07 - mmengine - INFO - Epoch(train) [10][40/746] lr: 1.0000e-03 eta: 0:08:33 time: 0.2339 data_time: 0.0372 memory: 5963 grad_norm: 1.1618 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0436 loss: 0.0436 2022/08/05 13:28:11 - mmengine - INFO - Epoch(train) [10][60/746] lr: 1.0000e-03 eta: 0:08:28 time: 0.2329 data_time: 0.0328 memory: 5963 grad_norm: 0.9093 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0178 loss: 0.0178 2022/08/05 13:28:16 - mmengine - INFO - Epoch(train) [10][80/746] lr: 1.0000e-03 eta: 0:08:23 time: 0.2352 data_time: 0.0323 memory: 5963 grad_norm: 0.8619 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0235 loss: 0.0235 2022/08/05 13:28:21 - mmengine - INFO - Epoch(train) [10][100/746] lr: 1.0000e-03 eta: 0:08:19 time: 0.2328 data_time: 0.0345 memory: 5963 grad_norm: 1.0953 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0382 loss: 0.0382 2022/08/05 13:28:25 - mmengine - INFO - Epoch(train) [10][120/746] lr: 1.0000e-03 eta: 0:08:14 time: 0.2329 data_time: 0.0316 memory: 5963 grad_norm: 0.9932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0482 loss: 0.0482 2022/08/05 13:28:30 - mmengine - INFO - Epoch(train) [10][140/746] lr: 1.0000e-03 eta: 0:08:09 time: 0.2301 data_time: 0.0331 memory: 5963 grad_norm: 0.9711 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0123 loss: 0.0123 2022/08/05 13:28:35 - mmengine - INFO - Epoch(train) [10][160/746] lr: 1.0000e-03 eta: 0:08:05 time: 0.2300 data_time: 0.0392 memory: 5963 grad_norm: 1.0497 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0254 loss: 0.0254 2022/08/05 13:28:39 - mmengine - INFO - Epoch(train) [10][180/746] lr: 1.0000e-03 eta: 0:08:00 time: 0.2323 data_time: 0.0326 memory: 5963 grad_norm: 0.8249 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0200 loss: 0.0200 2022/08/05 13:28:44 - mmengine - INFO - Epoch(train) [10][200/746] lr: 1.0000e-03 eta: 0:07:55 time: 0.2307 data_time: 0.0323 memory: 5963 grad_norm: 0.9818 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0318 loss: 0.0318 2022/08/05 13:28:48 - mmengine - INFO - Epoch(train) [10][220/746] lr: 1.0000e-03 eta: 0:07:51 time: 0.2342 data_time: 0.0333 memory: 5963 grad_norm: 0.8889 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0641 loss: 0.0641 2022/08/05 13:28:53 - mmengine - INFO - Epoch(train) [10][240/746] lr: 1.0000e-03 eta: 0:07:46 time: 0.2314 data_time: 0.0341 memory: 5963 grad_norm: 0.7510 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0398 loss: 0.0398 2022/08/05 13:28:58 - mmengine - INFO - Epoch(train) [10][260/746] lr: 1.0000e-03 eta: 0:07:41 time: 0.2308 data_time: 0.0330 memory: 5963 grad_norm: 1.0039 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0390 loss: 0.0390 2022/08/05 13:29:02 - mmengine - INFO - Epoch(train) [10][280/746] lr: 1.0000e-03 eta: 0:07:37 time: 0.2331 data_time: 0.0372 memory: 5963 grad_norm: 0.9043 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0276 loss: 0.0276 2022/08/05 13:29:04 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:29:07 - mmengine - INFO - Epoch(train) [10][300/746] lr: 1.0000e-03 eta: 0:07:32 time: 0.2305 data_time: 0.0349 memory: 5963 grad_norm: 0.8734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0292 loss: 0.0292 2022/08/05 13:29:12 - mmengine - INFO - Epoch(train) [10][320/746] lr: 1.0000e-03 eta: 0:07:27 time: 0.2328 data_time: 0.0337 memory: 5963 grad_norm: 1.0865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0077 loss: 0.0077 2022/08/05 13:29:16 - mmengine - INFO - Epoch(train) [10][340/746] lr: 1.0000e-03 eta: 0:07:23 time: 0.2310 data_time: 0.0338 memory: 5963 grad_norm: 0.8828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0243 loss: 0.0243 2022/08/05 13:29:21 - mmengine - INFO - Epoch(train) [10][360/746] lr: 1.0000e-03 eta: 0:07:18 time: 0.2311 data_time: 0.0342 memory: 5963 grad_norm: 0.9455 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0300 loss: 0.0300 2022/08/05 13:29:25 - mmengine - INFO - Epoch(train) [10][380/746] lr: 1.0000e-03 eta: 0:07:13 time: 0.2309 data_time: 0.0328 memory: 5963 grad_norm: 0.8468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0271 loss: 0.0271 2022/08/05 13:29:30 - mmengine - INFO - Epoch(train) [10][400/746] lr: 1.0000e-03 eta: 0:07:09 time: 0.2332 data_time: 0.0348 memory: 5963 grad_norm: 1.0340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0232 loss: 0.0232 2022/08/05 13:29:35 - mmengine - INFO - Epoch(train) [10][420/746] lr: 1.0000e-03 eta: 0:07:04 time: 0.2281 data_time: 0.0315 memory: 5963 grad_norm: 0.7707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0177 loss: 0.0177 2022/08/05 13:29:39 - mmengine - INFO - Epoch(train) [10][440/746] lr: 1.0000e-03 eta: 0:06:59 time: 0.2302 data_time: 0.0341 memory: 5963 grad_norm: 0.7325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0153 loss: 0.0153 2022/08/05 13:29:44 - mmengine - INFO - Epoch(train) [10][460/746] lr: 1.0000e-03 eta: 0:06:54 time: 0.2265 data_time: 0.0332 memory: 5963 grad_norm: 1.0320 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0488 loss: 0.0488 2022/08/05 13:29:48 - mmengine - INFO - Epoch(train) [10][480/746] lr: 1.0000e-03 eta: 0:06:50 time: 0.2313 data_time: 0.0367 memory: 5963 grad_norm: 0.8508 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0509 loss: 0.0509 2022/08/05 13:29:53 - mmengine - INFO - Epoch(train) [10][500/746] lr: 1.0000e-03 eta: 0:06:45 time: 0.2333 data_time: 0.0318 memory: 5963 grad_norm: 0.9143 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0634 loss: 0.0634 2022/08/05 13:29:58 - mmengine - INFO - Epoch(train) [10][520/746] lr: 1.0000e-03 eta: 0:06:40 time: 0.2295 data_time: 0.0346 memory: 5963 grad_norm: 0.7643 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0190 loss: 0.0190 2022/08/05 13:30:02 - mmengine - INFO - Epoch(train) [10][540/746] lr: 1.0000e-03 eta: 0:06:36 time: 0.2343 data_time: 0.0373 memory: 5963 grad_norm: 0.7352 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0257 loss: 0.0257 2022/08/05 13:30:07 - mmengine - INFO - Epoch(train) [10][560/746] lr: 1.0000e-03 eta: 0:06:31 time: 0.2291 data_time: 0.0302 memory: 5963 grad_norm: 0.9955 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0180 loss: 0.0180 2022/08/05 13:30:12 - mmengine - INFO - Epoch(train) [10][580/746] lr: 1.0000e-03 eta: 0:06:26 time: 0.2317 data_time: 0.0352 memory: 5963 grad_norm: 0.6585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0249 loss: 0.0249 2022/08/05 13:30:16 - mmengine - INFO - Epoch(train) [10][600/746] lr: 1.0000e-03 eta: 0:06:22 time: 0.2286 data_time: 0.0323 memory: 5963 grad_norm: 1.0199 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0329 loss: 0.0329 2022/08/05 13:30:21 - mmengine - INFO - Epoch(train) [10][620/746] lr: 1.0000e-03 eta: 0:06:17 time: 0.2332 data_time: 0.0313 memory: 5963 grad_norm: 0.6793 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0278 loss: 0.0278 2022/08/05 13:30:26 - mmengine - INFO - Epoch(train) [10][640/746] lr: 1.0000e-03 eta: 0:06:12 time: 0.2330 data_time: 0.0380 memory: 5963 grad_norm: 0.8236 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0224 loss: 0.0224 2022/08/05 13:30:30 - mmengine - INFO - Epoch(train) [10][660/746] lr: 1.0000e-03 eta: 0:06:08 time: 0.2332 data_time: 0.0330 memory: 5963 grad_norm: 0.8400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0196 loss: 0.0196 2022/08/05 13:30:35 - mmengine - INFO - Epoch(train) [10][680/746] lr: 1.0000e-03 eta: 0:06:03 time: 0.2311 data_time: 0.0318 memory: 5963 grad_norm: 0.8178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0217 loss: 0.0217 2022/08/05 13:30:40 - mmengine - INFO - Epoch(train) [10][700/746] lr: 1.0000e-03 eta: 0:05:58 time: 0.2336 data_time: 0.0344 memory: 5963 grad_norm: 0.9361 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0206 loss: 0.0206 2022/08/05 13:30:44 - mmengine - INFO - Epoch(train) [10][720/746] lr: 1.0000e-03 eta: 0:05:54 time: 0.2286 data_time: 0.0300 memory: 5963 grad_norm: 0.9983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0311 loss: 0.0311 2022/08/05 13:30:48 - mmengine - INFO - Epoch(train) [10][740/746] lr: 1.0000e-03 eta: 0:05:49 time: 0.2182 data_time: 0.0308 memory: 5963 grad_norm: 0.7117 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0117 loss: 0.0117 2022/08/05 13:30:50 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:30:50 - mmengine - INFO - Epoch(train) [10][746/746] lr: 1.0000e-03 eta: 0:05:49 time: 0.2084 data_time: 0.0336 memory: 5963 grad_norm: 1.0033 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0826 loss: 0.0826 2022/08/05 13:30:50 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/05 13:30:56 - mmengine - INFO - Epoch(val) [10][20/30] eta: 0:00:02 time: 0.2754 data_time: 0.1684 memory: 1452 2022/08/05 13:30:58 - mmengine - INFO - Epoch(val) [10][30/30] acc/top1: 0.8559 acc/top5: 0.9648 acc/mean1: 0.8555 2022/08/05 13:30:58 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint/best_acc/top1_epoch_4.pth is removed 2022/08/05 13:30:59 - mmengine - INFO - The best checkpoint with 0.8559 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/05 13:31:05 - mmengine - INFO - Epoch(train) [11][20/746] lr: 1.0000e-03 eta: 0:05:43 time: 0.2958 data_time: 0.0882 memory: 5963 grad_norm: 0.7161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0140 loss: 0.0140 2022/08/05 13:31:09 - mmengine - INFO - Epoch(train) [11][40/746] lr: 1.0000e-03 eta: 0:05:38 time: 0.2298 data_time: 0.0336 memory: 5963 grad_norm: 0.8070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0348 loss: 0.0348 2022/08/05 13:31:14 - mmengine - INFO - Epoch(train) [11][60/746] lr: 1.0000e-03 eta: 0:05:34 time: 0.2286 data_time: 0.0337 memory: 5963 grad_norm: 0.8036 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0139 loss: 0.0139 2022/08/05 13:31:18 - mmengine - INFO - Epoch(train) [11][80/746] lr: 1.0000e-03 eta: 0:05:29 time: 0.2285 data_time: 0.0343 memory: 5963 grad_norm: 0.9183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0248 loss: 0.0248 2022/08/05 13:31:23 - mmengine - INFO - Epoch(train) [11][100/746] lr: 1.0000e-03 eta: 0:05:24 time: 0.2351 data_time: 0.0320 memory: 5963 grad_norm: 0.6829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0366 loss: 0.0366 2022/08/05 13:31:28 - mmengine - INFO - Epoch(train) [11][120/746] lr: 1.0000e-03 eta: 0:05:20 time: 0.2298 data_time: 0.0345 memory: 5963 grad_norm: 0.9015 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0389 loss: 0.0389 2022/08/05 13:31:32 - mmengine - INFO - Epoch(train) [11][140/746] lr: 1.0000e-03 eta: 0:05:15 time: 0.2376 data_time: 0.0327 memory: 5963 grad_norm: 0.8667 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0133 loss: 0.0133 2022/08/05 13:31:37 - mmengine - INFO - Epoch(train) [11][160/746] lr: 1.0000e-03 eta: 0:05:10 time: 0.2258 data_time: 0.0326 memory: 5963 grad_norm: 0.6299 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0242 loss: 0.0242 2022/08/05 13:31:42 - mmengine - INFO - Epoch(train) [11][180/746] lr: 1.0000e-03 eta: 0:05:05 time: 0.2324 data_time: 0.0349 memory: 5963 grad_norm: 0.7391 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0407 loss: 0.0407 2022/08/05 13:31:46 - mmengine - INFO - Epoch(train) [11][200/746] lr: 1.0000e-03 eta: 0:05:01 time: 0.2276 data_time: 0.0334 memory: 5963 grad_norm: 0.9549 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0403 loss: 0.0403 2022/08/05 13:31:51 - mmengine - INFO - Epoch(train) [11][220/746] lr: 1.0000e-03 eta: 0:04:56 time: 0.2318 data_time: 0.0334 memory: 5963 grad_norm: 0.6285 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0118 loss: 0.0118 2022/08/05 13:31:55 - mmengine - INFO - Epoch(train) [11][240/746] lr: 1.0000e-03 eta: 0:04:51 time: 0.2289 data_time: 0.0327 memory: 5963 grad_norm: 0.9604 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0134 loss: 0.0134 2022/08/05 13:32:00 - mmengine - INFO - Epoch(train) [11][260/746] lr: 1.0000e-03 eta: 0:04:47 time: 0.2288 data_time: 0.0321 memory: 5963 grad_norm: 0.8473 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0138 loss: 0.0138 2022/08/05 13:32:05 - mmengine - INFO - Epoch(train) [11][280/746] lr: 1.0000e-03 eta: 0:04:42 time: 0.2330 data_time: 0.0338 memory: 5963 grad_norm: 0.9336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0114 loss: 0.0114 2022/08/05 13:32:09 - mmengine - INFO - Epoch(train) [11][300/746] lr: 1.0000e-03 eta: 0:04:37 time: 0.2319 data_time: 0.0344 memory: 5963 grad_norm: 1.0273 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0207 loss: 0.0207 2022/08/05 13:32:14 - mmengine - INFO - Epoch(train) [11][320/746] lr: 1.0000e-03 eta: 0:04:33 time: 0.2293 data_time: 0.0325 memory: 5963 grad_norm: 0.8206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0228 loss: 0.0228 2022/08/05 13:32:18 - mmengine - INFO - Epoch(train) [11][340/746] lr: 1.0000e-03 eta: 0:04:28 time: 0.2317 data_time: 0.0327 memory: 5963 grad_norm: 0.7159 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0347 loss: 0.0347 2022/08/05 13:32:23 - mmengine - INFO - Epoch(train) [11][360/746] lr: 1.0000e-03 eta: 0:04:23 time: 0.2279 data_time: 0.0354 memory: 5963 grad_norm: 0.7066 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0318 loss: 0.0318 2022/08/05 13:32:28 - mmengine - INFO - Epoch(train) [11][380/746] lr: 1.0000e-03 eta: 0:04:19 time: 0.2320 data_time: 0.0322 memory: 5963 grad_norm: 0.6664 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0326 loss: 0.0326 2022/08/05 13:32:32 - mmengine - INFO - Epoch(train) [11][400/746] lr: 1.0000e-03 eta: 0:04:14 time: 0.2371 data_time: 0.0333 memory: 5963 grad_norm: 0.7910 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0121 loss: 0.0121 2022/08/05 13:32:37 - mmengine - INFO - Epoch(train) [11][420/746] lr: 1.0000e-03 eta: 0:04:09 time: 0.2325 data_time: 0.0377 memory: 5963 grad_norm: 0.8070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0174 loss: 0.0174 2022/08/05 13:32:42 - mmengine - INFO - Epoch(train) [11][440/746] lr: 1.0000e-03 eta: 0:04:05 time: 0.2361 data_time: 0.0322 memory: 5963 grad_norm: 0.8093 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0460 loss: 0.0460 2022/08/05 13:32:46 - mmengine - INFO - Epoch(train) [11][460/746] lr: 1.0000e-03 eta: 0:04:00 time: 0.2322 data_time: 0.0331 memory: 5963 grad_norm: 0.7655 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0369 loss: 0.0369 2022/08/05 13:32:51 - mmengine - INFO - Epoch(train) [11][480/746] lr: 1.0000e-03 eta: 0:03:55 time: 0.2294 data_time: 0.0374 memory: 5963 grad_norm: 0.6781 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0268 loss: 0.0268 2022/08/05 13:32:56 - mmengine - INFO - Epoch(train) [11][500/746] lr: 1.0000e-03 eta: 0:03:51 time: 0.2288 data_time: 0.0317 memory: 5963 grad_norm: 0.6878 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0606 loss: 0.0606 2022/08/05 13:33:00 - mmengine - INFO - Epoch(train) [11][520/746] lr: 1.0000e-03 eta: 0:03:46 time: 0.2327 data_time: 0.0341 memory: 5963 grad_norm: 0.8473 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0290 loss: 0.0290 2022/08/05 13:33:05 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:33:05 - mmengine - INFO - Epoch(train) [11][540/746] lr: 1.0000e-03 eta: 0:03:41 time: 0.2310 data_time: 0.0374 memory: 5963 grad_norm: 0.7026 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0259 loss: 0.0259 2022/08/05 13:33:09 - mmengine - INFO - Epoch(train) [11][560/746] lr: 1.0000e-03 eta: 0:03:37 time: 0.2290 data_time: 0.0331 memory: 5963 grad_norm: 0.7906 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0189 loss: 0.0189 2022/08/05 13:33:14 - mmengine - INFO - Epoch(train) [11][580/746] lr: 1.0000e-03 eta: 0:03:32 time: 0.2342 data_time: 0.0372 memory: 5963 grad_norm: 0.8181 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0201 loss: 0.0201 2022/08/05 13:33:19 - mmengine - INFO - Epoch(train) [11][600/746] lr: 1.0000e-03 eta: 0:03:27 time: 0.2323 data_time: 0.0320 memory: 5963 grad_norm: 0.8378 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0341 loss: 0.0341 2022/08/05 13:33:23 - mmengine - INFO - Epoch(train) [11][620/746] lr: 1.0000e-03 eta: 0:03:23 time: 0.2321 data_time: 0.0345 memory: 5963 grad_norm: 0.5858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0260 loss: 0.0260 2022/08/05 13:33:28 - mmengine - INFO - Epoch(train) [11][640/746] lr: 1.0000e-03 eta: 0:03:18 time: 0.2333 data_time: 0.0328 memory: 5963 grad_norm: 0.8483 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0147 loss: 0.0147 2022/08/05 13:33:33 - mmengine - INFO - Epoch(train) [11][660/746] lr: 1.0000e-03 eta: 0:03:13 time: 0.2391 data_time: 0.0334 memory: 5963 grad_norm: 0.9089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0346 loss: 0.0346 2022/08/05 13:33:37 - mmengine - INFO - Epoch(train) [11][680/746] lr: 1.0000e-03 eta: 0:03:09 time: 0.2284 data_time: 0.0327 memory: 5963 grad_norm: 0.7653 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0366 loss: 0.0366 2022/08/05 13:33:42 - mmengine - INFO - Epoch(train) [11][700/746] lr: 1.0000e-03 eta: 0:03:04 time: 0.2342 data_time: 0.0340 memory: 5963 grad_norm: 0.6930 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0161 loss: 0.0161 2022/08/05 13:33:47 - mmengine - INFO - Epoch(train) [11][720/746] lr: 1.0000e-03 eta: 0:02:59 time: 0.2324 data_time: 0.0367 memory: 5963 grad_norm: 0.6862 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0136 loss: 0.0136 2022/08/05 13:33:51 - mmengine - INFO - Epoch(train) [11][740/746] lr: 1.0000e-03 eta: 0:02:55 time: 0.2189 data_time: 0.0313 memory: 5963 grad_norm: 0.8594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0258 loss: 0.0258 2022/08/05 13:33:52 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:33:52 - mmengine - INFO - Epoch(train) [11][746/746] lr: 1.0000e-03 eta: 0:02:55 time: 0.2054 data_time: 0.0305 memory: 5963 grad_norm: 1.1560 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0801 loss: 0.0801 2022/08/05 13:33:52 - mmengine - INFO - Saving checkpoint at 11 epochs 2022/08/05 13:33:59 - mmengine - INFO - Epoch(val) [11][20/30] eta: 0:00:02 time: 0.2801 data_time: 0.1656 memory: 1452 2022/08/05 13:34:00 - mmengine - INFO - Epoch(val) [11][30/30] acc/top1: 0.8546 acc/top5: 0.9646 acc/mean1: 0.8541 2022/08/05 13:34:07 - mmengine - INFO - Epoch(train) [12][20/746] lr: 1.0000e-04 eta: 0:02:49 time: 0.3285 data_time: 0.0999 memory: 5963 grad_norm: 0.7511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0253 loss: 0.0253 2022/08/05 13:34:12 - mmengine - INFO - Epoch(train) [12][40/746] lr: 1.0000e-04 eta: 0:02:44 time: 0.2328 data_time: 0.0352 memory: 5963 grad_norm: 0.7537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0199 loss: 0.0199 2022/08/05 13:34:16 - mmengine - INFO - Epoch(train) [12][60/746] lr: 1.0000e-04 eta: 0:02:39 time: 0.2271 data_time: 0.0316 memory: 5963 grad_norm: 0.9038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0293 loss: 0.0293 2022/08/05 13:34:21 - mmengine - INFO - Epoch(train) [12][80/746] lr: 1.0000e-04 eta: 0:02:35 time: 0.2388 data_time: 0.0460 memory: 5963 grad_norm: 0.8858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0303 loss: 0.0303 2022/08/05 13:34:26 - mmengine - INFO - Epoch(train) [12][100/746] lr: 1.0000e-04 eta: 0:02:30 time: 0.2329 data_time: 0.0391 memory: 5963 grad_norm: 0.8011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0173 loss: 0.0173 2022/08/05 13:34:30 - mmengine - INFO - Epoch(train) [12][120/746] lr: 1.0000e-04 eta: 0:02:25 time: 0.2311 data_time: 0.0340 memory: 5963 grad_norm: 0.9659 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0128 loss: 0.0128 2022/08/05 13:34:35 - mmengine - INFO - Epoch(train) [12][140/746] lr: 1.0000e-04 eta: 0:02:21 time: 0.2290 data_time: 0.0328 memory: 5963 grad_norm: 0.8548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0086 loss: 0.0086 2022/08/05 13:34:39 - mmengine - INFO - Epoch(train) [12][160/746] lr: 1.0000e-04 eta: 0:02:16 time: 0.2300 data_time: 0.0376 memory: 5963 grad_norm: 0.9410 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0157 loss: 0.0157 2022/08/05 13:34:44 - mmengine - INFO - Epoch(train) [12][180/746] lr: 1.0000e-04 eta: 0:02:11 time: 0.2306 data_time: 0.0303 memory: 5963 grad_norm: 0.7207 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0061 loss: 0.0061 2022/08/05 13:34:49 - mmengine - INFO - Epoch(train) [12][200/746] lr: 1.0000e-04 eta: 0:02:07 time: 0.2308 data_time: 0.0343 memory: 5963 grad_norm: 0.6407 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0249 loss: 0.0249 2022/08/05 13:34:53 - mmengine - INFO - Epoch(train) [12][220/746] lr: 1.0000e-04 eta: 0:02:02 time: 0.2366 data_time: 0.0355 memory: 5963 grad_norm: 0.7789 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0317 loss: 0.0317 2022/08/05 13:34:58 - mmengine - INFO - Epoch(train) [12][240/746] lr: 1.0000e-04 eta: 0:01:57 time: 0.2310 data_time: 0.0338 memory: 5963 grad_norm: 0.7098 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0109 loss: 0.0109 2022/08/05 13:35:03 - mmengine - INFO - Epoch(train) [12][260/746] lr: 1.0000e-04 eta: 0:01:53 time: 0.2370 data_time: 0.0328 memory: 5963 grad_norm: 0.6581 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0321 loss: 0.0321 2022/08/05 13:35:07 - mmengine - INFO - Epoch(train) [12][280/746] lr: 1.0000e-04 eta: 0:01:48 time: 0.2311 data_time: 0.0323 memory: 5963 grad_norm: 0.8416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0211 loss: 0.0211 2022/08/05 13:35:12 - mmengine - INFO - Epoch(train) [12][300/746] lr: 1.0000e-04 eta: 0:01:43 time: 0.2311 data_time: 0.0335 memory: 5963 grad_norm: 0.7875 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0352 loss: 0.0352 2022/08/05 13:35:17 - mmengine - INFO - Epoch(train) [12][320/746] lr: 1.0000e-04 eta: 0:01:39 time: 0.2290 data_time: 0.0340 memory: 5963 grad_norm: 0.7224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0114 loss: 0.0114 2022/08/05 13:35:21 - mmengine - INFO - Epoch(train) [12][340/746] lr: 1.0000e-04 eta: 0:01:34 time: 0.2296 data_time: 0.0380 memory: 5963 grad_norm: 0.7816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0144 loss: 0.0144 2022/08/05 13:35:26 - mmengine - INFO - Epoch(train) [12][360/746] lr: 1.0000e-04 eta: 0:01:29 time: 0.2274 data_time: 0.0333 memory: 5963 grad_norm: 0.7841 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0172 loss: 0.0172 2022/08/05 13:35:31 - mmengine - INFO - Epoch(train) [12][380/746] lr: 1.0000e-04 eta: 0:01:25 time: 0.2375 data_time: 0.0362 memory: 5963 grad_norm: 0.7342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0146 loss: 0.0146 2022/08/05 13:35:35 - mmengine - INFO - Epoch(train) [12][400/746] lr: 1.0000e-04 eta: 0:01:20 time: 0.2340 data_time: 0.0364 memory: 5963 grad_norm: 0.8578 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0302 loss: 0.0302 2022/08/05 13:35:40 - mmengine - INFO - Epoch(train) [12][420/746] lr: 1.0000e-04 eta: 0:01:15 time: 0.2327 data_time: 0.0315 memory: 5963 grad_norm: 0.6387 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0096 loss: 0.0096 2022/08/05 13:35:44 - mmengine - INFO - Epoch(train) [12][440/746] lr: 1.0000e-04 eta: 0:01:11 time: 0.2277 data_time: 0.0314 memory: 5963 grad_norm: 0.7595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0262 loss: 0.0262 2022/08/05 13:35:49 - mmengine - INFO - Epoch(train) [12][460/746] lr: 1.0000e-04 eta: 0:01:06 time: 0.2302 data_time: 0.0347 memory: 5963 grad_norm: 0.7064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0177 loss: 0.0177 2022/08/05 13:35:54 - mmengine - INFO - Epoch(train) [12][480/746] lr: 1.0000e-04 eta: 0:01:02 time: 0.2378 data_time: 0.0352 memory: 5963 grad_norm: 0.8617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0202 loss: 0.0202 2022/08/05 13:35:58 - mmengine - INFO - Epoch(train) [12][500/746] lr: 1.0000e-04 eta: 0:00:57 time: 0.2345 data_time: 0.0342 memory: 5963 grad_norm: 0.7174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0154 loss: 0.0154 2022/08/05 13:36:04 - mmengine - INFO - Epoch(train) [12][520/746] lr: 1.0000e-04 eta: 0:00:52 time: 0.2772 data_time: 0.0877 memory: 5963 grad_norm: 0.6628 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0213 loss: 0.0213 2022/08/05 13:36:09 - mmengine - INFO - Epoch(train) [12][540/746] lr: 1.0000e-04 eta: 0:00:48 time: 0.2380 data_time: 0.0486 memory: 5963 grad_norm: 0.7259 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0246 loss: 0.0246 2022/08/05 13:36:14 - mmengine - INFO - Epoch(train) [12][560/746] lr: 1.0000e-04 eta: 0:00:43 time: 0.2765 data_time: 0.0803 memory: 5963 grad_norm: 0.7133 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0305 loss: 0.0305 2022/08/05 13:36:19 - mmengine - INFO - Epoch(train) [12][580/746] lr: 1.0000e-04 eta: 0:00:38 time: 0.2355 data_time: 0.0406 memory: 5963 grad_norm: 0.7654 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0103 loss: 0.0103 2022/08/05 13:36:24 - mmengine - INFO - Epoch(train) [12][600/746] lr: 1.0000e-04 eta: 0:00:34 time: 0.2727 data_time: 0.0794 memory: 5963 grad_norm: 0.8830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0209 loss: 0.0209 2022/08/05 13:36:29 - mmengine - INFO - Epoch(train) [12][620/746] lr: 1.0000e-04 eta: 0:00:29 time: 0.2314 data_time: 0.0382 memory: 5963 grad_norm: 0.6638 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0212 loss: 0.0212 2022/08/05 13:36:34 - mmengine - INFO - Epoch(train) [12][640/746] lr: 1.0000e-04 eta: 0:00:24 time: 0.2625 data_time: 0.0664 memory: 5963 grad_norm: 0.6776 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0183 loss: 0.0183 2022/08/05 13:36:39 - mmengine - INFO - Epoch(train) [12][660/746] lr: 1.0000e-04 eta: 0:00:20 time: 0.2424 data_time: 0.0471 memory: 5963 grad_norm: 0.5341 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0142 loss: 0.0142 2022/08/05 13:36:44 - mmengine - INFO - Epoch(train) [12][680/746] lr: 1.0000e-04 eta: 0:00:15 time: 0.2338 data_time: 0.0387 memory: 5963 grad_norm: 0.8369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0124 loss: 0.0124 2022/08/05 13:36:49 - mmengine - INFO - Epoch(train) [12][700/746] lr: 1.0000e-04 eta: 0:00:10 time: 0.2439 data_time: 0.0502 memory: 5963 grad_norm: 0.6826 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0145 loss: 0.0145 2022/08/05 13:36:53 - mmengine - INFO - Epoch(train) [12][720/746] lr: 1.0000e-04 eta: 0:00:06 time: 0.2365 data_time: 0.0386 memory: 5963 grad_norm: 0.4667 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0296 loss: 0.0296 2022/08/05 13:36:58 - mmengine - INFO - Epoch(train) [12][740/746] lr: 1.0000e-04 eta: 0:00:01 time: 0.2194 data_time: 0.0350 memory: 5963 grad_norm: 0.8427 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0189 loss: 0.0189 2022/08/05 13:36:59 - mmengine - INFO - Exp name: slowonly_kinetics400_pretrained_r50_u48_120e_8xb16_ucf101_split1_keypoint_20220805_130002 2022/08/05 13:36:59 - mmengine - INFO - Epoch(train) [12][746/746] lr: 1.0000e-04 eta: 0:00:01 time: 0.2113 data_time: 0.0352 memory: 5963 grad_norm: 1.3794 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.1190 loss: 0.1190 2022/08/05 13:36:59 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/05 13:37:07 - mmengine - INFO - Epoch(val) [12][20/30] eta: 0:00:02 time: 0.2515 data_time: 0.1518 memory: 1452 2022/08/05 13:37:09 - mmengine - INFO - Epoch(val) [12][30/30] acc/top1: 0.8551 acc/top5: 0.9670 acc/mean1: 0.8542