2022/08/05 12:34:54 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb by HardDiskBackend. 2022/08/05 12:35:07 - mmengine - INFO - Epoch(train) [1][20/314] lr: 2.0000e-01 eta: 13:31:50 time: 0.6465 data_time: 0.1969 memory: 9706 grad_norm: 0.9233 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 4.1648 loss: 4.1648 2022/08/05 12:35:14 - mmengine - INFO - Epoch(train) [1][40/314] lr: 2.0000e-01 eta: 10:22:52 time: 0.3458 data_time: 0.0463 memory: 9706 grad_norm: 0.7250 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 3.9945 loss: 3.9945 2022/08/05 12:35:20 - mmengine - INFO - Epoch(train) [1][60/314] lr: 2.0000e-01 eta: 9:20:21 time: 0.3471 data_time: 0.0484 memory: 9706 grad_norm: 0.7784 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 3.8505 loss: 3.8505 2022/08/05 12:35:27 - mmengine - INFO - Epoch(train) [1][80/314] lr: 2.0000e-01 eta: 8:49:38 time: 0.3490 data_time: 0.0491 memory: 9706 grad_norm: 0.7370 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.6474 loss: 3.6474 2022/08/05 12:35:34 - mmengine - INFO - Epoch(train) [1][100/314] lr: 2.0000e-01 eta: 8:31:00 time: 0.3485 data_time: 0.0441 memory: 9706 grad_norm: 0.7562 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.5378 loss: 3.5378 2022/08/05 12:35:41 - mmengine - INFO - Epoch(train) [1][120/314] lr: 2.0000e-01 eta: 8:16:55 time: 0.3407 data_time: 0.0507 memory: 9706 grad_norm: 0.7697 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3456 loss: 3.3456 2022/08/05 12:35:48 - mmengine - INFO - Epoch(train) [1][140/314] lr: 2.0000e-01 eta: 8:08:43 time: 0.3512 data_time: 0.0411 memory: 9706 grad_norm: 0.8370 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.2257 loss: 3.2257 2022/08/05 12:35:55 - mmengine - INFO - Epoch(train) [1][160/314] lr: 2.0000e-01 eta: 8:01:47 time: 0.3464 data_time: 0.0469 memory: 9706 grad_norm: 0.8683 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.0498 loss: 3.0498 2022/08/05 12:36:02 - mmengine - INFO - Epoch(train) [1][180/314] lr: 2.0000e-01 eta: 7:55:32 time: 0.3404 data_time: 0.0410 memory: 9706 grad_norm: 0.8818 top1_acc: 0.0000 top5_acc: 0.4375 loss_cls: 2.8948 loss: 2.8948 2022/08/05 12:36:09 - mmengine - INFO - Epoch(train) [1][200/314] lr: 2.0000e-01 eta: 7:51:43 time: 0.3500 data_time: 0.0505 memory: 9706 grad_norm: 0.9647 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7202 loss: 2.7202 2022/08/05 12:36:16 - mmengine - INFO - Epoch(train) [1][220/314] lr: 2.0000e-01 eta: 7:48:31 time: 0.3497 data_time: 0.0454 memory: 9706 grad_norm: 0.9406 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7163 loss: 2.7163 2022/08/05 12:36:23 - mmengine - INFO - Epoch(train) [1][240/314] lr: 2.0000e-01 eta: 7:45:06 time: 0.3426 data_time: 0.0457 memory: 9706 grad_norm: 0.9652 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.6453 loss: 2.6453 2022/08/05 12:36:30 - mmengine - INFO - Epoch(train) [1][260/314] lr: 1.9999e-01 eta: 7:42:03 time: 0.3410 data_time: 0.0420 memory: 9706 grad_norm: 0.9613 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5804 loss: 2.5804 2022/08/05 12:36:37 - mmengine - INFO - Epoch(train) [1][280/314] lr: 1.9999e-01 eta: 7:40:53 time: 0.3575 data_time: 0.0478 memory: 9706 grad_norm: 0.9609 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4497 loss: 2.4497 2022/08/05 12:36:44 - mmengine - INFO - Epoch(train) [1][300/314] lr: 1.9999e-01 eta: 7:38:25 time: 0.3403 data_time: 0.0477 memory: 9706 grad_norm: 0.9949 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3639 loss: 2.3639 2022/08/05 12:36:48 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:36:48 - mmengine - INFO - Epoch(train) [1][314/314] lr: 1.9999e-01 eta: 7:38:25 time: 0.2966 data_time: 0.0382 memory: 9706 grad_norm: 1.1047 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 2.3033 loss: 2.3033 2022/08/05 12:36:48 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/08/05 12:37:00 - mmengine - INFO - Epoch(train) [2][20/314] lr: 1.9999e-01 eta: 7:24:37 time: 0.4414 data_time: 0.1645 memory: 9706 grad_norm: 1.0299 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.2565 loss: 2.2565 2022/08/05 12:37:07 - mmengine - INFO - Epoch(train) [2][40/314] lr: 1.9999e-01 eta: 7:23:56 time: 0.3476 data_time: 0.0439 memory: 9706 grad_norm: 1.0370 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.3032 loss: 2.3032 2022/08/05 12:37:14 - mmengine - INFO - Epoch(train) [2][60/314] lr: 1.9999e-01 eta: 7:23:20 time: 0.3478 data_time: 0.0432 memory: 9706 grad_norm: 1.0532 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2122 loss: 2.2122 2022/08/05 12:37:21 - mmengine - INFO - Epoch(train) [2][80/314] lr: 1.9999e-01 eta: 7:22:46 time: 0.3478 data_time: 0.0436 memory: 9706 grad_norm: 1.0519 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.1684 loss: 2.1684 2022/08/05 12:37:28 - mmengine - INFO - Epoch(train) [2][100/314] lr: 1.9999e-01 eta: 7:21:55 time: 0.3422 data_time: 0.0415 memory: 9706 grad_norm: 1.0134 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.1794 loss: 2.1794 2022/08/05 12:37:35 - mmengine - INFO - Epoch(train) [2][120/314] lr: 1.9998e-01 eta: 7:21:51 time: 0.3547 data_time: 0.0425 memory: 9706 grad_norm: 1.0265 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1847 loss: 2.1847 2022/08/05 12:37:42 - mmengine - INFO - Epoch(train) [2][140/314] lr: 1.9998e-01 eta: 7:21:21 time: 0.3469 data_time: 0.0491 memory: 9706 grad_norm: 1.0115 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0061 loss: 2.0061 2022/08/05 12:37:49 - mmengine - INFO - Epoch(train) [2][160/314] lr: 1.9998e-01 eta: 7:21:05 time: 0.3506 data_time: 0.0443 memory: 9706 grad_norm: 1.0637 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0087 loss: 2.0087 2022/08/05 12:37:56 - mmengine - INFO - Epoch(train) [2][180/314] lr: 1.9998e-01 eta: 7:20:32 time: 0.3448 data_time: 0.0400 memory: 9706 grad_norm: 1.0342 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7359 loss: 1.7359 2022/08/05 12:38:03 - mmengine - INFO - Epoch(train) [2][200/314] lr: 1.9998e-01 eta: 7:19:56 time: 0.3431 data_time: 0.0444 memory: 9706 grad_norm: 1.0442 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8681 loss: 1.8681 2022/08/05 12:38:10 - mmengine - INFO - Epoch(train) [2][220/314] lr: 1.9998e-01 eta: 7:19:21 time: 0.3429 data_time: 0.0522 memory: 9706 grad_norm: 1.0241 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.8800 loss: 1.8800 2022/08/05 12:38:17 - mmengine - INFO - Epoch(train) [2][240/314] lr: 1.9997e-01 eta: 7:19:02 time: 0.3479 data_time: 0.0595 memory: 9706 grad_norm: 1.0181 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7570 loss: 1.7570 2022/08/05 12:38:23 - mmengine - INFO - Epoch(train) [2][260/314] lr: 1.9997e-01 eta: 7:18:30 time: 0.3423 data_time: 0.0472 memory: 9706 grad_norm: 1.0735 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.8563 loss: 1.8563 2022/08/05 12:38:31 - mmengine - INFO - Epoch(train) [2][280/314] lr: 1.9997e-01 eta: 7:18:43 time: 0.3600 data_time: 0.0545 memory: 9706 grad_norm: 1.0864 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8531 loss: 1.8531 2022/08/05 12:38:38 - mmengine - INFO - Epoch(train) [2][300/314] lr: 1.9997e-01 eta: 7:18:20 time: 0.3453 data_time: 0.0427 memory: 9706 grad_norm: 1.0153 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8037 loss: 1.8037 2022/08/05 12:38:41 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:38:41 - mmengine - INFO - Epoch(train) [2][314/314] lr: 1.9997e-01 eta: 7:18:20 time: 0.2892 data_time: 0.0386 memory: 9706 grad_norm: 1.0167 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.5865 loss: 1.5865 2022/08/05 12:38:41 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/08/05 12:38:54 - mmengine - INFO - Epoch(train) [3][20/314] lr: 1.9996e-01 eta: 7:12:52 time: 0.4611 data_time: 0.1891 memory: 9706 grad_norm: 1.1171 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6299 loss: 1.6299 2022/08/05 12:39:01 - mmengine - INFO - Epoch(train) [3][40/314] lr: 1.9996e-01 eta: 7:12:45 time: 0.3480 data_time: 0.0492 memory: 9706 grad_norm: 1.0128 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6074 loss: 1.6074 2022/08/05 12:39:07 - mmengine - INFO - Epoch(train) [3][60/314] lr: 1.9996e-01 eta: 7:12:11 time: 0.3351 data_time: 0.0429 memory: 9706 grad_norm: 1.0859 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6815 loss: 1.6815 2022/08/05 12:39:14 - mmengine - INFO - Epoch(train) [3][80/314] lr: 1.9996e-01 eta: 7:12:13 time: 0.3513 data_time: 0.0437 memory: 9706 grad_norm: 1.0594 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5317 loss: 1.5317 2022/08/05 12:39:21 - mmengine - INFO - Epoch(train) [3][100/314] lr: 1.9995e-01 eta: 7:11:57 time: 0.3433 data_time: 0.0443 memory: 9706 grad_norm: 1.0479 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5961 loss: 1.5961 2022/08/05 12:39:28 - mmengine - INFO - Epoch(train) [3][120/314] lr: 1.9995e-01 eta: 7:11:35 time: 0.3394 data_time: 0.0512 memory: 9706 grad_norm: 1.0782 top1_acc: 0.3125 top5_acc: 1.0000 loss_cls: 1.5237 loss: 1.5237 2022/08/05 12:39:35 - mmengine - INFO - Epoch(train) [3][140/314] lr: 1.9995e-01 eta: 7:11:47 time: 0.3568 data_time: 0.0445 memory: 9706 grad_norm: 1.0768 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5856 loss: 1.5856 2022/08/05 12:39:42 - mmengine - INFO - Epoch(train) [3][160/314] lr: 1.9995e-01 eta: 7:11:21 time: 0.3371 data_time: 0.0406 memory: 9706 grad_norm: 1.0460 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4389 loss: 1.4389 2022/08/05 12:39:49 - mmengine - INFO - Epoch(train) [3][180/314] lr: 1.9994e-01 eta: 7:11:03 time: 0.3411 data_time: 0.0469 memory: 9706 grad_norm: 1.0725 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6332 loss: 1.6332 2022/08/05 12:39:56 - mmengine - INFO - Epoch(train) [3][200/314] lr: 1.9994e-01 eta: 7:11:03 time: 0.3509 data_time: 0.0527 memory: 9706 grad_norm: 1.0353 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4561 loss: 1.4561 2022/08/05 12:40:03 - mmengine - INFO - Epoch(train) [3][220/314] lr: 1.9994e-01 eta: 7:10:58 time: 0.3482 data_time: 0.0442 memory: 9706 grad_norm: 1.0678 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4104 loss: 1.4104 2022/08/05 12:40:09 - mmengine - INFO - Epoch(train) [3][240/314] lr: 1.9993e-01 eta: 7:10:43 time: 0.3424 data_time: 0.0456 memory: 9706 grad_norm: 1.0290 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2817 loss: 1.2817 2022/08/05 12:40:16 - mmengine - INFO - Epoch(train) [3][260/314] lr: 1.9993e-01 eta: 7:10:36 time: 0.3468 data_time: 0.0439 memory: 9706 grad_norm: 1.0660 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2723 loss: 1.2723 2022/08/05 12:40:23 - mmengine - INFO - Epoch(train) [3][280/314] lr: 1.9993e-01 eta: 7:10:22 time: 0.3426 data_time: 0.0451 memory: 9706 grad_norm: 1.0006 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3155 loss: 1.3155 2022/08/05 12:40:30 - mmengine - INFO - Epoch(train) [3][300/314] lr: 1.9993e-01 eta: 7:10:02 time: 0.3390 data_time: 0.0413 memory: 9706 grad_norm: 1.0645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2538 loss: 1.2538 2022/08/05 12:40:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:40:34 - mmengine - INFO - Epoch(train) [3][314/314] lr: 1.9992e-01 eta: 7:10:02 time: 0.2870 data_time: 0.0367 memory: 9706 grad_norm: 1.1928 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.2762 loss: 1.2762 2022/08/05 12:40:34 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/08/05 12:40:46 - mmengine - INFO - Epoch(train) [4][20/314] lr: 1.9992e-01 eta: 7:06:21 time: 0.4543 data_time: 0.1829 memory: 9706 grad_norm: 1.1596 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.4721 loss: 1.4721 2022/08/05 12:40:53 - mmengine - INFO - Epoch(train) [4][40/314] lr: 1.9992e-01 eta: 7:06:16 time: 0.3449 data_time: 0.0441 memory: 9706 grad_norm: 1.0839 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1532 loss: 1.1532 2022/08/05 12:40:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:40:59 - mmengine - INFO - Epoch(train) [4][60/314] lr: 1.9991e-01 eta: 7:05:58 time: 0.3362 data_time: 0.0437 memory: 9706 grad_norm: 1.0595 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.3766 loss: 1.3766 2022/08/05 12:41:06 - mmengine - INFO - Epoch(train) [4][80/314] lr: 1.9991e-01 eta: 7:05:44 time: 0.3389 data_time: 0.0585 memory: 9706 grad_norm: 1.0222 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1236 loss: 1.1236 2022/08/05 12:41:13 - mmengine - INFO - Epoch(train) [4][100/314] lr: 1.9991e-01 eta: 7:05:41 time: 0.3466 data_time: 0.0446 memory: 9706 grad_norm: 1.0401 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2082 loss: 1.2082 2022/08/05 12:41:20 - mmengine - INFO - Epoch(train) [4][120/314] lr: 1.9990e-01 eta: 7:05:40 time: 0.3479 data_time: 0.0458 memory: 9706 grad_norm: 1.0287 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.2086 loss: 1.2086 2022/08/05 12:41:27 - mmengine - INFO - Epoch(train) [4][140/314] lr: 1.9990e-01 eta: 7:05:42 time: 0.3500 data_time: 0.0403 memory: 9706 grad_norm: 1.0052 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.2076 loss: 1.2076 2022/08/05 12:41:34 - mmengine - INFO - Epoch(train) [4][160/314] lr: 1.9989e-01 eta: 7:05:37 time: 0.3452 data_time: 0.0535 memory: 9706 grad_norm: 1.0091 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1042 loss: 1.1042 2022/08/05 12:41:41 - mmengine - INFO - Epoch(train) [4][180/314] lr: 1.9989e-01 eta: 7:05:24 time: 0.3393 data_time: 0.0484 memory: 9706 grad_norm: 1.0840 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1846 loss: 1.1846 2022/08/05 12:41:48 - mmengine - INFO - Epoch(train) [4][200/314] lr: 1.9989e-01 eta: 7:05:25 time: 0.3497 data_time: 0.0499 memory: 9706 grad_norm: 1.0848 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2313 loss: 1.2313 2022/08/05 12:41:55 - mmengine - INFO - Epoch(train) [4][220/314] lr: 1.9988e-01 eta: 7:05:19 time: 0.3451 data_time: 0.0493 memory: 9706 grad_norm: 1.1020 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1729 loss: 1.1729 2022/08/05 12:42:01 - mmengine - INFO - Epoch(train) [4][240/314] lr: 1.9988e-01 eta: 7:05:06 time: 0.3388 data_time: 0.0441 memory: 9706 grad_norm: 1.1191 top1_acc: 0.3750 top5_acc: 1.0000 loss_cls: 1.2303 loss: 1.2303 2022/08/05 12:42:08 - mmengine - INFO - Epoch(train) [4][260/314] lr: 1.9987e-01 eta: 7:05:04 time: 0.3477 data_time: 0.0424 memory: 9706 grad_norm: 0.9765 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0728 loss: 1.0728 2022/08/05 12:42:15 - mmengine - INFO - Epoch(train) [4][280/314] lr: 1.9987e-01 eta: 7:04:56 time: 0.3430 data_time: 0.0424 memory: 9706 grad_norm: 1.0504 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1495 loss: 1.1495 2022/08/05 12:42:22 - mmengine - INFO - Epoch(train) [4][300/314] lr: 1.9987e-01 eta: 7:04:46 time: 0.3409 data_time: 0.0452 memory: 9706 grad_norm: 1.0797 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.2066 loss: 1.2066 2022/08/05 12:42:26 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:42:26 - mmengine - INFO - Epoch(train) [4][314/314] lr: 1.9986e-01 eta: 7:04:46 time: 0.2913 data_time: 0.0396 memory: 9706 grad_norm: 1.1196 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.2277 loss: 1.2277 2022/08/05 12:42:26 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/05 12:42:38 - mmengine - INFO - Epoch(train) [5][20/314] lr: 1.9986e-01 eta: 7:02:25 time: 0.4732 data_time: 0.1914 memory: 9706 grad_norm: 1.0008 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1648 loss: 1.1648 2022/08/05 12:42:45 - mmengine - INFO - Epoch(train) [5][40/314] lr: 1.9985e-01 eta: 7:02:16 time: 0.3403 data_time: 0.0392 memory: 9706 grad_norm: 1.0398 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0995 loss: 1.0995 2022/08/05 12:42:51 - mmengine - INFO - Epoch(train) [5][60/314] lr: 1.9985e-01 eta: 7:02:02 time: 0.3363 data_time: 0.0397 memory: 9706 grad_norm: 1.0398 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9588 loss: 0.9588 2022/08/05 12:42:58 - mmengine - INFO - Epoch(train) [5][80/314] lr: 1.9985e-01 eta: 7:01:59 time: 0.3454 data_time: 0.0471 memory: 9706 grad_norm: 1.0369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9810 loss: 0.9810 2022/08/05 12:43:05 - mmengine - INFO - Epoch(train) [5][100/314] lr: 1.9984e-01 eta: 7:02:08 time: 0.3561 data_time: 0.0516 memory: 9706 grad_norm: 1.0345 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1016 loss: 1.1016 2022/08/05 12:43:12 - mmengine - INFO - Epoch(train) [5][120/314] lr: 1.9984e-01 eta: 7:01:50 time: 0.3317 data_time: 0.0450 memory: 9706 grad_norm: 1.0450 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1019 loss: 1.1019 2022/08/05 12:43:19 - mmengine - INFO - Epoch(train) [5][140/314] lr: 1.9983e-01 eta: 7:01:47 time: 0.3464 data_time: 0.0396 memory: 9706 grad_norm: 1.0277 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1288 loss: 1.1288 2022/08/05 12:43:26 - mmengine - INFO - Epoch(train) [5][160/314] lr: 1.9983e-01 eta: 7:01:41 time: 0.3431 data_time: 0.0424 memory: 9706 grad_norm: 1.0106 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0953 loss: 1.0953 2022/08/05 12:43:33 - mmengine - INFO - Epoch(train) [5][180/314] lr: 1.9982e-01 eta: 7:01:32 time: 0.3394 data_time: 0.0396 memory: 9706 grad_norm: 1.0210 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0006 loss: 1.0006 2022/08/05 12:43:39 - mmengine - INFO - Epoch(train) [5][200/314] lr: 1.9982e-01 eta: 7:01:19 time: 0.3360 data_time: 0.0465 memory: 9706 grad_norm: 1.0107 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2101 loss: 1.2101 2022/08/05 12:43:46 - mmengine - INFO - Epoch(train) [5][220/314] lr: 1.9981e-01 eta: 7:01:15 time: 0.3454 data_time: 0.0422 memory: 9706 grad_norm: 0.9849 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0469 loss: 1.0469 2022/08/05 12:43:53 - mmengine - INFO - Epoch(train) [5][240/314] lr: 1.9981e-01 eta: 7:01:11 time: 0.3451 data_time: 0.0491 memory: 9706 grad_norm: 1.0447 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9927 loss: 0.9927 2022/08/05 12:44:00 - mmengine - INFO - Epoch(train) [5][260/314] lr: 1.9980e-01 eta: 7:01:03 time: 0.3407 data_time: 0.0425 memory: 9706 grad_norm: 1.0532 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0643 loss: 1.0643 2022/08/05 12:44:07 - mmengine - INFO - Epoch(train) [5][280/314] lr: 1.9980e-01 eta: 7:01:04 time: 0.3498 data_time: 0.0422 memory: 9706 grad_norm: 1.0876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0245 loss: 1.0245 2022/08/05 12:44:14 - mmengine - INFO - Epoch(train) [5][300/314] lr: 1.9979e-01 eta: 7:00:54 time: 0.3388 data_time: 0.0411 memory: 9706 grad_norm: 1.0241 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0558 loss: 1.0558 2022/08/05 12:44:18 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:44:18 - mmengine - INFO - Epoch(train) [5][314/314] lr: 1.9979e-01 eta: 7:00:54 time: 0.2911 data_time: 0.0353 memory: 9706 grad_norm: 1.0420 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9535 loss: 0.9535 2022/08/05 12:44:18 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/08/05 12:44:30 - mmengine - INFO - Epoch(train) [6][20/314] lr: 1.9978e-01 eta: 6:58:53 time: 0.4638 data_time: 0.1824 memory: 9706 grad_norm: 1.0319 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0267 loss: 1.0267 2022/08/05 12:44:37 - mmengine - INFO - Epoch(train) [6][40/314] lr: 1.9978e-01 eta: 6:58:44 time: 0.3383 data_time: 0.0438 memory: 9706 grad_norm: 0.9931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9509 loss: 0.9509 2022/08/05 12:44:43 - mmengine - INFO - Epoch(train) [6][60/314] lr: 1.9977e-01 eta: 6:58:33 time: 0.3368 data_time: 0.0487 memory: 9706 grad_norm: 0.9679 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9901 loss: 0.9901 2022/08/05 12:44:50 - mmengine - INFO - Epoch(train) [6][80/314] lr: 1.9976e-01 eta: 6:58:30 time: 0.3441 data_time: 0.0424 memory: 9706 grad_norm: 1.0437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0554 loss: 1.0554 2022/08/05 12:44:57 - mmengine - INFO - Epoch(train) [6][100/314] lr: 1.9976e-01 eta: 6:58:21 time: 0.3392 data_time: 0.0406 memory: 9706 grad_norm: 1.0141 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8991 loss: 0.8991 2022/08/05 12:45:04 - mmengine - INFO - Epoch(train) [6][120/314] lr: 1.9975e-01 eta: 6:58:18 time: 0.3446 data_time: 0.0418 memory: 9706 grad_norm: 1.0534 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9984 loss: 0.9984 2022/08/05 12:45:11 - mmengine - INFO - Epoch(train) [6][140/314] lr: 1.9975e-01 eta: 6:58:14 time: 0.3443 data_time: 0.0431 memory: 9706 grad_norm: 1.0864 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0786 loss: 1.0786 2022/08/05 12:45:18 - mmengine - INFO - Epoch(train) [6][160/314] lr: 1.9974e-01 eta: 6:58:13 time: 0.3473 data_time: 0.0486 memory: 9706 grad_norm: 1.0442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0066 loss: 1.0066 2022/08/05 12:45:24 - mmengine - INFO - Epoch(train) [6][180/314] lr: 1.9973e-01 eta: 6:58:01 time: 0.3341 data_time: 0.0425 memory: 9706 grad_norm: 0.9653 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0215 loss: 1.0215 2022/08/05 12:45:31 - mmengine - INFO - Epoch(train) [6][200/314] lr: 1.9973e-01 eta: 6:58:01 time: 0.3497 data_time: 0.0423 memory: 9706 grad_norm: 1.0272 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9741 loss: 0.9741 2022/08/05 12:45:38 - mmengine - INFO - Epoch(train) [6][220/314] lr: 1.9972e-01 eta: 6:57:54 time: 0.3400 data_time: 0.0419 memory: 9706 grad_norm: 0.9820 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9419 loss: 0.9419 2022/08/05 12:45:45 - mmengine - INFO - Epoch(train) [6][240/314] lr: 1.9972e-01 eta: 6:57:44 time: 0.3378 data_time: 0.0528 memory: 9706 grad_norm: 1.0184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9472 loss: 0.9472 2022/08/05 12:45:52 - mmengine - INFO - Epoch(train) [6][260/314] lr: 1.9971e-01 eta: 6:57:45 time: 0.3505 data_time: 0.0515 memory: 9706 grad_norm: 1.1166 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 0.9448 loss: 0.9448 2022/08/05 12:45:59 - mmengine - INFO - Epoch(train) [6][280/314] lr: 1.9970e-01 eta: 6:57:40 time: 0.3423 data_time: 0.0408 memory: 9706 grad_norm: 0.9879 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8956 loss: 0.8956 2022/08/05 12:46:06 - mmengine - INFO - Epoch(train) [6][300/314] lr: 1.9970e-01 eta: 6:57:36 time: 0.3450 data_time: 0.0442 memory: 9706 grad_norm: 1.0025 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9736 loss: 0.9736 2022/08/05 12:46:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:46:09 - mmengine - INFO - Epoch(train) [6][314/314] lr: 1.9969e-01 eta: 6:57:36 time: 0.2938 data_time: 0.0374 memory: 9706 grad_norm: 1.0621 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.0065 loss: 1.0065 2022/08/05 12:46:09 - mmengine - INFO - Saving checkpoint at 6 epochs 2022/08/05 12:46:21 - mmengine - INFO - Epoch(train) [7][20/314] lr: 1.9969e-01 eta: 6:55:58 time: 0.4679 data_time: 0.1942 memory: 9706 grad_norm: 1.1152 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1649 loss: 1.1649 2022/08/05 12:46:28 - mmengine - INFO - Epoch(train) [7][40/314] lr: 1.9968e-01 eta: 6:55:54 time: 0.3425 data_time: 0.0452 memory: 9706 grad_norm: 1.0441 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/08/05 12:46:35 - mmengine - INFO - Epoch(train) [7][60/314] lr: 1.9967e-01 eta: 6:55:47 time: 0.3406 data_time: 0.0501 memory: 9706 grad_norm: 1.0392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0333 loss: 1.0333 2022/08/05 12:46:42 - mmengine - INFO - Epoch(train) [7][80/314] lr: 1.9967e-01 eta: 6:55:44 time: 0.3444 data_time: 0.0430 memory: 9706 grad_norm: 1.0422 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9657 loss: 0.9657 2022/08/05 12:46:49 - mmengine - INFO - Epoch(train) [7][100/314] lr: 1.9966e-01 eta: 6:55:43 time: 0.3477 data_time: 0.0422 memory: 9706 grad_norm: 0.9653 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8433 loss: 0.8433 2022/08/05 12:46:54 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:46:56 - mmengine - INFO - Epoch(train) [7][120/314] lr: 1.9965e-01 eta: 6:55:40 time: 0.3454 data_time: 0.0562 memory: 9706 grad_norm: 1.0853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9643 loss: 0.9643 2022/08/05 12:47:02 - mmengine - INFO - Epoch(train) [7][140/314] lr: 1.9964e-01 eta: 6:55:32 time: 0.3375 data_time: 0.0431 memory: 9706 grad_norm: 1.0108 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0346 loss: 1.0346 2022/08/05 12:47:09 - mmengine - INFO - Epoch(train) [7][160/314] lr: 1.9964e-01 eta: 6:55:27 time: 0.3423 data_time: 0.0514 memory: 9706 grad_norm: 0.9607 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8319 loss: 0.8319 2022/08/05 12:47:16 - mmengine - INFO - Epoch(train) [7][180/314] lr: 1.9963e-01 eta: 6:55:20 time: 0.3410 data_time: 0.0530 memory: 9706 grad_norm: 0.9924 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8855 loss: 0.8855 2022/08/05 12:47:23 - mmengine - INFO - Epoch(train) [7][200/314] lr: 1.9962e-01 eta: 6:55:15 time: 0.3422 data_time: 0.0475 memory: 9706 grad_norm: 1.0492 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9071 loss: 0.9071 2022/08/05 12:47:30 - mmengine - INFO - Epoch(train) [7][220/314] lr: 1.9962e-01 eta: 6:55:09 time: 0.3410 data_time: 0.0511 memory: 9706 grad_norm: 1.0104 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8541 loss: 0.8541 2022/08/05 12:47:37 - mmengine - INFO - Epoch(train) [7][240/314] lr: 1.9961e-01 eta: 6:55:03 time: 0.3412 data_time: 0.0471 memory: 9706 grad_norm: 1.0515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9551 loss: 0.9551 2022/08/05 12:47:44 - mmengine - INFO - Epoch(train) [7][260/314] lr: 1.9960e-01 eta: 6:55:02 time: 0.3481 data_time: 0.0484 memory: 9706 grad_norm: 1.0183 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9354 loss: 0.9354 2022/08/05 12:47:51 - mmengine - INFO - Epoch(train) [7][280/314] lr: 1.9959e-01 eta: 6:55:05 time: 0.3545 data_time: 0.0420 memory: 9706 grad_norm: 0.9805 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8905 loss: 0.8905 2022/08/05 12:47:57 - mmengine - INFO - Epoch(train) [7][300/314] lr: 1.9959e-01 eta: 6:54:54 time: 0.3351 data_time: 0.0496 memory: 9706 grad_norm: 1.0420 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8790 loss: 0.8790 2022/08/05 12:48:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:48:01 - mmengine - INFO - Epoch(train) [7][314/314] lr: 1.9958e-01 eta: 6:54:54 time: 0.2859 data_time: 0.0394 memory: 9706 grad_norm: 1.0175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9308 loss: 0.9308 2022/08/05 12:48:01 - mmengine - INFO - Saving checkpoint at 7 epochs 2022/08/05 12:48:13 - mmengine - INFO - Epoch(train) [8][20/314] lr: 1.9957e-01 eta: 6:53:31 time: 0.4689 data_time: 0.1936 memory: 9706 grad_norm: 1.0508 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9889 loss: 0.9889 2022/08/05 12:48:20 - mmengine - INFO - Epoch(train) [8][40/314] lr: 1.9957e-01 eta: 6:53:23 time: 0.3380 data_time: 0.0489 memory: 9706 grad_norm: 1.0414 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/05 12:48:27 - mmengine - INFO - Epoch(train) [8][60/314] lr: 1.9956e-01 eta: 6:53:18 time: 0.3414 data_time: 0.0558 memory: 9706 grad_norm: 1.0376 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8798 loss: 0.8798 2022/08/05 12:48:33 - mmengine - INFO - Epoch(train) [8][80/314] lr: 1.9955e-01 eta: 6:53:16 time: 0.3466 data_time: 0.0410 memory: 9706 grad_norm: 1.0388 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9684 loss: 0.9684 2022/08/05 12:48:41 - mmengine - INFO - Epoch(train) [8][100/314] lr: 1.9954e-01 eta: 6:53:19 time: 0.3548 data_time: 0.0439 memory: 9706 grad_norm: 0.9740 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9370 loss: 0.9370 2022/08/05 12:48:48 - mmengine - INFO - Epoch(train) [8][120/314] lr: 1.9953e-01 eta: 6:53:22 time: 0.3559 data_time: 0.0429 memory: 9706 grad_norm: 0.9828 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7804 loss: 0.7804 2022/08/05 12:48:54 - mmengine - INFO - Epoch(train) [8][140/314] lr: 1.9953e-01 eta: 6:53:16 time: 0.3407 data_time: 0.0484 memory: 9706 grad_norm: 0.9461 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7354 loss: 0.7354 2022/08/05 12:49:01 - mmengine - INFO - Epoch(train) [8][160/314] lr: 1.9952e-01 eta: 6:53:10 time: 0.3408 data_time: 0.0467 memory: 9706 grad_norm: 1.0318 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7924 loss: 0.7924 2022/08/05 12:49:08 - mmengine - INFO - Epoch(train) [8][180/314] lr: 1.9951e-01 eta: 6:53:06 time: 0.3441 data_time: 0.0544 memory: 9706 grad_norm: 1.0174 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8612 loss: 0.8612 2022/08/05 12:49:15 - mmengine - INFO - Epoch(train) [8][200/314] lr: 1.9950e-01 eta: 6:52:59 time: 0.3397 data_time: 0.0444 memory: 9706 grad_norm: 0.9915 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8666 loss: 0.8666 2022/08/05 12:49:22 - mmengine - INFO - Epoch(train) [8][220/314] lr: 1.9949e-01 eta: 6:52:55 time: 0.3443 data_time: 0.0432 memory: 9706 grad_norm: 1.0180 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8441 loss: 0.8441 2022/08/05 12:49:29 - mmengine - INFO - Epoch(train) [8][240/314] lr: 1.9948e-01 eta: 6:52:48 time: 0.3386 data_time: 0.0473 memory: 9706 grad_norm: 1.0293 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9718 loss: 0.9718 2022/08/05 12:49:36 - mmengine - INFO - Epoch(train) [8][260/314] lr: 1.9948e-01 eta: 6:52:47 time: 0.3502 data_time: 0.0542 memory: 9706 grad_norm: 0.9865 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7928 loss: 0.7928 2022/08/05 12:49:43 - mmengine - INFO - Epoch(train) [8][280/314] lr: 1.9947e-01 eta: 6:52:44 time: 0.3457 data_time: 0.0432 memory: 9706 grad_norm: 0.9836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7540 loss: 0.7540 2022/08/05 12:49:49 - mmengine - INFO - Epoch(train) [8][300/314] lr: 1.9946e-01 eta: 6:52:34 time: 0.3345 data_time: 0.0481 memory: 9706 grad_norm: 1.0433 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7371 loss: 0.7371 2022/08/05 12:49:53 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:49:53 - mmengine - INFO - Epoch(train) [8][314/314] lr: 1.9945e-01 eta: 6:52:34 time: 0.2856 data_time: 0.0376 memory: 9706 grad_norm: 1.1506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8270 loss: 0.8270 2022/08/05 12:49:53 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/05 12:50:05 - mmengine - INFO - Epoch(train) [9][20/314] lr: 1.9944e-01 eta: 6:51:14 time: 0.4578 data_time: 0.1876 memory: 9706 grad_norm: 1.0675 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7643 loss: 0.7643 2022/08/05 12:50:11 - mmengine - INFO - Epoch(train) [9][40/314] lr: 1.9944e-01 eta: 6:51:05 time: 0.3345 data_time: 0.0436 memory: 9706 grad_norm: 1.0281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7968 loss: 0.7968 2022/08/05 12:50:18 - mmengine - INFO - Epoch(train) [9][60/314] lr: 1.9943e-01 eta: 6:51:04 time: 0.3495 data_time: 0.0567 memory: 9706 grad_norm: 1.0710 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9119 loss: 0.9119 2022/08/05 12:50:25 - mmengine - INFO - Epoch(train) [9][80/314] lr: 1.9942e-01 eta: 6:50:58 time: 0.3398 data_time: 0.0529 memory: 9706 grad_norm: 1.0276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9121 loss: 0.9121 2022/08/05 12:50:32 - mmengine - INFO - Epoch(train) [9][100/314] lr: 1.9941e-01 eta: 6:50:54 time: 0.3453 data_time: 0.0421 memory: 9706 grad_norm: 0.9911 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8115 loss: 0.8115 2022/08/05 12:50:39 - mmengine - INFO - Epoch(train) [9][120/314] lr: 1.9940e-01 eta: 6:50:51 time: 0.3446 data_time: 0.0521 memory: 9706 grad_norm: 1.0195 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9109 loss: 0.9109 2022/08/05 12:50:46 - mmengine - INFO - Epoch(train) [9][140/314] lr: 1.9939e-01 eta: 6:50:50 time: 0.3492 data_time: 0.0442 memory: 9706 grad_norm: 1.0018 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/08/05 12:50:53 - mmengine - INFO - Epoch(train) [9][160/314] lr: 1.9938e-01 eta: 6:50:44 time: 0.3409 data_time: 0.0425 memory: 9706 grad_norm: 1.0462 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8064 loss: 0.8064 2022/08/05 12:51:00 - mmengine - INFO - Epoch(train) [9][180/314] lr: 1.9937e-01 eta: 6:50:39 time: 0.3427 data_time: 0.0395 memory: 9706 grad_norm: 1.0038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8313 loss: 0.8313 2022/08/05 12:51:06 - mmengine - INFO - Epoch(train) [9][200/314] lr: 1.9936e-01 eta: 6:50:32 time: 0.3392 data_time: 0.0460 memory: 9706 grad_norm: 1.0680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9648 loss: 0.9648 2022/08/05 12:51:13 - mmengine - INFO - Epoch(train) [9][220/314] lr: 1.9935e-01 eta: 6:50:28 time: 0.3437 data_time: 0.0443 memory: 9706 grad_norm: 1.0227 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/08/05 12:51:20 - mmengine - INFO - Epoch(train) [9][240/314] lr: 1.9934e-01 eta: 6:50:26 time: 0.3480 data_time: 0.0414 memory: 9706 grad_norm: 1.0066 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9165 loss: 0.9165 2022/08/05 12:51:27 - mmengine - INFO - Epoch(train) [9][260/314] lr: 1.9933e-01 eta: 6:50:19 time: 0.3394 data_time: 0.0421 memory: 9706 grad_norm: 1.1033 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8736 loss: 0.8736 2022/08/05 12:51:34 - mmengine - INFO - Epoch(train) [9][280/314] lr: 1.9932e-01 eta: 6:50:11 time: 0.3354 data_time: 0.0453 memory: 9706 grad_norm: 0.9600 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8764 loss: 0.8764 2022/08/05 12:51:41 - mmengine - INFO - Epoch(train) [9][300/314] lr: 1.9931e-01 eta: 6:50:09 time: 0.3497 data_time: 0.0421 memory: 9706 grad_norm: 1.0040 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7418 loss: 0.7418 2022/08/05 12:51:45 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:51:45 - mmengine - INFO - Epoch(train) [9][314/314] lr: 1.9931e-01 eta: 6:50:09 time: 0.2874 data_time: 0.0379 memory: 9706 grad_norm: 1.0930 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8436 loss: 0.8436 2022/08/05 12:51:45 - mmengine - INFO - Saving checkpoint at 9 epochs 2022/08/05 12:51:56 - mmengine - INFO - Epoch(train) [10][20/314] lr: 1.9930e-01 eta: 6:49:00 time: 0.4633 data_time: 0.1841 memory: 9706 grad_norm: 0.9981 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7638 loss: 0.7638 2022/08/05 12:52:03 - mmengine - INFO - Epoch(train) [10][40/314] lr: 1.9929e-01 eta: 6:48:56 time: 0.3437 data_time: 0.0445 memory: 9706 grad_norm: 0.9581 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7361 loss: 0.7361 2022/08/05 12:52:10 - mmengine - INFO - Epoch(train) [10][60/314] lr: 1.9928e-01 eta: 6:48:54 time: 0.3475 data_time: 0.0509 memory: 9706 grad_norm: 1.0117 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7266 loss: 0.7266 2022/08/05 12:52:17 - mmengine - INFO - Epoch(train) [10][80/314] lr: 1.9927e-01 eta: 6:48:56 time: 0.3580 data_time: 0.0515 memory: 9706 grad_norm: 1.0096 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8123 loss: 0.8123 2022/08/05 12:52:24 - mmengine - INFO - Epoch(train) [10][100/314] lr: 1.9926e-01 eta: 6:48:52 time: 0.3432 data_time: 0.0638 memory: 9706 grad_norm: 1.0168 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8496 loss: 0.8496 2022/08/05 12:52:31 - mmengine - INFO - Epoch(train) [10][120/314] lr: 1.9925e-01 eta: 6:48:46 time: 0.3404 data_time: 0.0426 memory: 9706 grad_norm: 1.0542 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8184 loss: 0.8184 2022/08/05 12:52:38 - mmengine - INFO - Epoch(train) [10][140/314] lr: 1.9924e-01 eta: 6:48:45 time: 0.3497 data_time: 0.0411 memory: 9706 grad_norm: 1.0138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6582 loss: 0.6582 2022/08/05 12:52:45 - mmengine - INFO - Epoch(train) [10][160/314] lr: 1.9923e-01 eta: 6:48:39 time: 0.3402 data_time: 0.0511 memory: 9706 grad_norm: 1.0928 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8747 loss: 0.8747 2022/08/05 12:52:50 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:52:52 - mmengine - INFO - Epoch(train) [10][180/314] lr: 1.9922e-01 eta: 6:48:35 time: 0.3452 data_time: 0.0468 memory: 9706 grad_norm: 0.9952 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8510 loss: 0.8510 2022/08/05 12:52:59 - mmengine - INFO - Epoch(train) [10][200/314] lr: 1.9921e-01 eta: 6:48:32 time: 0.3467 data_time: 0.0450 memory: 9706 grad_norm: 1.0453 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7119 loss: 0.7119 2022/08/05 12:53:05 - mmengine - INFO - Epoch(train) [10][220/314] lr: 1.9920e-01 eta: 6:48:25 time: 0.3378 data_time: 0.0389 memory: 9706 grad_norm: 0.9720 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7086 loss: 0.7086 2022/08/05 12:53:12 - mmengine - INFO - Epoch(train) [10][240/314] lr: 1.9918e-01 eta: 6:48:16 time: 0.3354 data_time: 0.0430 memory: 9706 grad_norm: 1.1000 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8133 loss: 0.8133 2022/08/05 12:53:19 - mmengine - INFO - Epoch(train) [10][260/314] lr: 1.9917e-01 eta: 6:48:14 time: 0.3492 data_time: 0.0551 memory: 9706 grad_norm: 0.9659 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8316 loss: 0.8316 2022/08/05 12:53:26 - mmengine - INFO - Epoch(train) [10][280/314] lr: 1.9916e-01 eta: 6:48:08 time: 0.3409 data_time: 0.0420 memory: 9706 grad_norm: 0.9876 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7161 loss: 0.7161 2022/08/05 12:53:33 - mmengine - INFO - Epoch(train) [10][300/314] lr: 1.9915e-01 eta: 6:48:00 time: 0.3344 data_time: 0.0411 memory: 9706 grad_norm: 0.9396 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6762 loss: 0.6762 2022/08/05 12:53:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:53:37 - mmengine - INFO - Epoch(train) [10][314/314] lr: 1.9915e-01 eta: 6:48:00 time: 0.2877 data_time: 0.0393 memory: 9706 grad_norm: 1.0562 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7638 loss: 0.7638 2022/08/05 12:53:37 - mmengine - INFO - Saving checkpoint at 10 epochs 2022/08/05 12:53:50 - mmengine - INFO - Epoch(val) [10][20/129] eta: 0:00:58 time: 0.5409 data_time: 0.3592 memory: 1867 2022/08/05 12:53:57 - mmengine - INFO - Epoch(val) [10][40/129] eta: 0:00:29 time: 0.3351 data_time: 0.1506 memory: 1867 2022/08/05 12:54:04 - mmengine - INFO - Epoch(val) [10][60/129] eta: 0:00:24 time: 0.3612 data_time: 0.1766 memory: 1867 2022/08/05 12:54:11 - mmengine - INFO - Epoch(val) [10][80/129] eta: 0:00:16 time: 0.3281 data_time: 0.1399 memory: 1867 2022/08/05 12:54:18 - mmengine - INFO - Epoch(val) [10][100/129] eta: 0:00:10 time: 0.3497 data_time: 0.1672 memory: 1867 2022/08/05 12:54:23 - mmengine - INFO - Epoch(val) [10][120/129] eta: 0:00:02 time: 0.2597 data_time: 0.0996 memory: 1867 2022/08/05 12:54:25 - mmengine - INFO - Epoch(val) [10][129/129] acc/top1: 0.6226 acc/top5: 0.9243 acc/mean1: 0.6220 2022/08/05 12:54:27 - mmengine - INFO - The best checkpoint with 0.6226 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/05 12:54:37 - mmengine - INFO - Epoch(train) [11][20/314] lr: 1.9913e-01 eta: 6:46:58 time: 0.4674 data_time: 0.1856 memory: 9706 grad_norm: 1.0394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8253 loss: 0.8253 2022/08/05 12:54:43 - mmengine - INFO - Epoch(train) [11][40/314] lr: 1.9912e-01 eta: 6:46:52 time: 0.3401 data_time: 0.0408 memory: 9706 grad_norm: 1.0802 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7923 loss: 0.7923 2022/08/05 12:54:50 - mmengine - INFO - Epoch(train) [11][60/314] lr: 1.9911e-01 eta: 6:46:47 time: 0.3410 data_time: 0.0417 memory: 9706 grad_norm: 1.0256 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8479 loss: 0.8479 2022/08/05 12:54:57 - mmengine - INFO - Epoch(train) [11][80/314] lr: 1.9910e-01 eta: 6:46:44 time: 0.3464 data_time: 0.0439 memory: 9706 grad_norm: 1.0190 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7469 loss: 0.7469 2022/08/05 12:55:04 - mmengine - INFO - Epoch(train) [11][100/314] lr: 1.9909e-01 eta: 6:46:36 time: 0.3358 data_time: 0.0417 memory: 9706 grad_norm: 1.0288 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8468 loss: 0.8468 2022/08/05 12:55:11 - mmengine - INFO - Epoch(train) [11][120/314] lr: 1.9908e-01 eta: 6:46:30 time: 0.3410 data_time: 0.0440 memory: 9706 grad_norm: 1.0360 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6978 loss: 0.6978 2022/08/05 12:55:18 - mmengine - INFO - Epoch(train) [11][140/314] lr: 1.9907e-01 eta: 6:46:25 time: 0.3415 data_time: 0.0406 memory: 9706 grad_norm: 1.0820 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6871 loss: 0.6871 2022/08/05 12:55:24 - mmengine - INFO - Epoch(train) [11][160/314] lr: 1.9906e-01 eta: 6:46:21 time: 0.3456 data_time: 0.0442 memory: 9706 grad_norm: 1.0122 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8161 loss: 0.8161 2022/08/05 12:55:31 - mmengine - INFO - Epoch(train) [11][180/314] lr: 1.9904e-01 eta: 6:46:15 time: 0.3385 data_time: 0.0448 memory: 9706 grad_norm: 1.0000 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8714 loss: 0.8714 2022/08/05 12:55:38 - mmengine - INFO - Epoch(train) [11][200/314] lr: 1.9903e-01 eta: 6:46:14 time: 0.3515 data_time: 0.0486 memory: 9706 grad_norm: 1.0296 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7729 loss: 0.7729 2022/08/05 12:55:45 - mmengine - INFO - Epoch(train) [11][220/314] lr: 1.9902e-01 eta: 6:46:09 time: 0.3430 data_time: 0.0414 memory: 9706 grad_norm: 1.0251 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7153 loss: 0.7153 2022/08/05 12:55:52 - mmengine - INFO - Epoch(train) [11][240/314] lr: 1.9901e-01 eta: 6:46:03 time: 0.3413 data_time: 0.0430 memory: 9706 grad_norm: 1.0070 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8772 loss: 0.8772 2022/08/05 12:55:59 - mmengine - INFO - Epoch(train) [11][260/314] lr: 1.9900e-01 eta: 6:45:56 time: 0.3376 data_time: 0.0437 memory: 9706 grad_norm: 1.0588 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.7252 loss: 0.7252 2022/08/05 12:56:06 - mmengine - INFO - Epoch(train) [11][280/314] lr: 1.9899e-01 eta: 6:45:53 time: 0.3468 data_time: 0.0514 memory: 9706 grad_norm: 1.0602 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.7323 loss: 0.7323 2022/08/05 12:56:13 - mmengine - INFO - Epoch(train) [11][300/314] lr: 1.9897e-01 eta: 6:45:52 time: 0.3529 data_time: 0.0465 memory: 9706 grad_norm: 1.0592 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.6961 loss: 0.6961 2022/08/05 12:56:16 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:56:16 - mmengine - INFO - Epoch(train) [11][314/314] lr: 1.9897e-01 eta: 6:45:52 time: 0.3009 data_time: 0.0396 memory: 9706 grad_norm: 1.1648 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7886 loss: 0.7886 2022/08/05 12:56:16 - mmengine - INFO - Saving checkpoint at 11 epochs 2022/08/05 12:56:28 - mmengine - INFO - Epoch(train) [12][20/314] lr: 1.9895e-01 eta: 6:44:52 time: 0.4569 data_time: 0.1842 memory: 9706 grad_norm: 1.0239 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7337 loss: 0.7337 2022/08/05 12:56:35 - mmengine - INFO - Epoch(train) [12][40/314] lr: 1.9894e-01 eta: 6:44:46 time: 0.3413 data_time: 0.0465 memory: 9706 grad_norm: 1.0225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7054 loss: 0.7054 2022/08/05 12:56:42 - mmengine - INFO - Epoch(train) [12][60/314] lr: 1.9893e-01 eta: 6:44:45 time: 0.3508 data_time: 0.0468 memory: 9706 grad_norm: 1.0070 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7122 loss: 0.7122 2022/08/05 12:56:49 - mmengine - INFO - Epoch(train) [12][80/314] lr: 1.9892e-01 eta: 6:44:40 time: 0.3444 data_time: 0.0461 memory: 9706 grad_norm: 1.0270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8109 loss: 0.8109 2022/08/05 12:56:56 - mmengine - INFO - Epoch(train) [12][100/314] lr: 1.9891e-01 eta: 6:44:35 time: 0.3405 data_time: 0.0456 memory: 9706 grad_norm: 0.9971 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7669 loss: 0.7669 2022/08/05 12:57:02 - mmengine - INFO - Epoch(train) [12][120/314] lr: 1.9889e-01 eta: 6:44:29 time: 0.3402 data_time: 0.0414 memory: 9706 grad_norm: 0.9884 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7715 loss: 0.7715 2022/08/05 12:57:09 - mmengine - INFO - Epoch(train) [12][140/314] lr: 1.9888e-01 eta: 6:44:26 time: 0.3469 data_time: 0.0476 memory: 9706 grad_norm: 0.9912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6095 loss: 0.6095 2022/08/05 12:57:16 - mmengine - INFO - Epoch(train) [12][160/314] lr: 1.9887e-01 eta: 6:44:21 time: 0.3437 data_time: 0.0479 memory: 9706 grad_norm: 1.0265 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5491 loss: 0.5491 2022/08/05 12:57:23 - mmengine - INFO - Epoch(train) [12][180/314] lr: 1.9886e-01 eta: 6:44:15 time: 0.3408 data_time: 0.0472 memory: 9706 grad_norm: 1.0248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7816 loss: 0.7816 2022/08/05 12:57:30 - mmengine - INFO - Epoch(train) [12][200/314] lr: 1.9884e-01 eta: 6:44:10 time: 0.3417 data_time: 0.0470 memory: 9706 grad_norm: 1.0103 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 0.7741 loss: 0.7741 2022/08/05 12:57:37 - mmengine - INFO - Epoch(train) [12][220/314] lr: 1.9883e-01 eta: 6:44:07 time: 0.3483 data_time: 0.0518 memory: 9706 grad_norm: 0.9859 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7199 loss: 0.7199 2022/08/05 12:57:44 - mmengine - INFO - Epoch(train) [12][240/314] lr: 1.9882e-01 eta: 6:44:00 time: 0.3382 data_time: 0.0497 memory: 9706 grad_norm: 1.0446 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9006 loss: 0.9006 2022/08/05 12:57:51 - mmengine - INFO - Epoch(train) [12][260/314] lr: 1.9880e-01 eta: 6:43:58 time: 0.3502 data_time: 0.0514 memory: 9706 grad_norm: 1.0471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7637 loss: 0.7637 2022/08/05 12:57:58 - mmengine - INFO - Epoch(train) [12][280/314] lr: 1.9879e-01 eta: 6:43:55 time: 0.3471 data_time: 0.0413 memory: 9706 grad_norm: 1.0330 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 0.8092 loss: 0.8092 2022/08/05 12:58:04 - mmengine - INFO - Epoch(train) [12][300/314] lr: 1.9878e-01 eta: 6:43:47 time: 0.3365 data_time: 0.0410 memory: 9706 grad_norm: 1.0138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6997 loss: 0.6997 2022/08/05 12:58:08 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:58:08 - mmengine - INFO - Epoch(train) [12][314/314] lr: 1.9877e-01 eta: 6:43:47 time: 0.2867 data_time: 0.0369 memory: 9706 grad_norm: 1.1153 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.7729 loss: 0.7729 2022/08/05 12:58:08 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/05 12:58:20 - mmengine - INFO - Epoch(train) [13][20/314] lr: 1.9876e-01 eta: 6:42:56 time: 0.4712 data_time: 0.1973 memory: 9706 grad_norm: 1.0673 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8223 loss: 0.8223 2022/08/05 12:58:27 - mmengine - INFO - Epoch(train) [13][40/314] lr: 1.9874e-01 eta: 6:42:50 time: 0.3382 data_time: 0.0430 memory: 9706 grad_norm: 1.0848 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 0.9170 loss: 0.9170 2022/08/05 12:58:34 - mmengine - INFO - Epoch(train) [13][60/314] lr: 1.9873e-01 eta: 6:42:43 time: 0.3385 data_time: 0.0415 memory: 9706 grad_norm: 1.0140 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7447 loss: 0.7447 2022/08/05 12:58:41 - mmengine - INFO - Epoch(train) [13][80/314] lr: 1.9872e-01 eta: 6:42:39 time: 0.3441 data_time: 0.0438 memory: 9706 grad_norm: 0.9581 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6903 loss: 0.6903 2022/08/05 12:58:48 - mmengine - INFO - Epoch(train) [13][100/314] lr: 1.9870e-01 eta: 6:42:34 time: 0.3426 data_time: 0.0396 memory: 9706 grad_norm: 1.0026 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7506 loss: 0.7506 2022/08/05 12:58:54 - mmengine - INFO - Epoch(train) [13][120/314] lr: 1.9869e-01 eta: 6:42:29 time: 0.3418 data_time: 0.0436 memory: 9706 grad_norm: 0.9947 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7129 loss: 0.7129 2022/08/05 12:59:01 - mmengine - INFO - Epoch(train) [13][140/314] lr: 1.9868e-01 eta: 6:42:26 time: 0.3501 data_time: 0.0427 memory: 9706 grad_norm: 0.9991 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7367 loss: 0.7367 2022/08/05 12:59:08 - mmengine - INFO - Epoch(train) [13][160/314] lr: 1.9866e-01 eta: 6:42:20 time: 0.3386 data_time: 0.0452 memory: 9706 grad_norm: 1.0068 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6950 loss: 0.6950 2022/08/05 12:59:15 - mmengine - INFO - Epoch(train) [13][180/314] lr: 1.9865e-01 eta: 6:42:16 time: 0.3452 data_time: 0.0388 memory: 9706 grad_norm: 1.0101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7058 loss: 0.7058 2022/08/05 12:59:22 - mmengine - INFO - Epoch(train) [13][200/314] lr: 1.9864e-01 eta: 6:42:11 time: 0.3447 data_time: 0.0441 memory: 9706 grad_norm: 1.0526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7480 loss: 0.7480 2022/08/05 12:59:29 - mmengine - INFO - Epoch(train) [13][220/314] lr: 1.9862e-01 eta: 6:42:04 time: 0.3366 data_time: 0.0460 memory: 9706 grad_norm: 1.0754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7484 loss: 0.7484 2022/08/05 12:59:33 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 12:59:36 - mmengine - INFO - Epoch(train) [13][240/314] lr: 1.9861e-01 eta: 6:42:00 time: 0.3468 data_time: 0.0529 memory: 9706 grad_norm: 0.9745 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6978 loss: 0.6978 2022/08/05 12:59:43 - mmengine - INFO - Epoch(train) [13][260/314] lr: 1.9859e-01 eta: 6:41:58 time: 0.3497 data_time: 0.0510 memory: 9706 grad_norm: 1.0278 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7792 loss: 0.7792 2022/08/05 12:59:49 - mmengine - INFO - Epoch(train) [13][280/314] lr: 1.9858e-01 eta: 6:41:51 time: 0.3378 data_time: 0.0451 memory: 9706 grad_norm: 1.0916 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6919 loss: 0.6919 2022/08/05 12:59:56 - mmengine - INFO - Epoch(train) [13][300/314] lr: 1.9857e-01 eta: 6:41:45 time: 0.3410 data_time: 0.0599 memory: 9706 grad_norm: 0.9603 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7245 loss: 0.7245 2022/08/05 13:00:00 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:00:00 - mmengine - INFO - Epoch(train) [13][314/314] lr: 1.9856e-01 eta: 6:41:45 time: 0.2843 data_time: 0.0374 memory: 9706 grad_norm: 1.0616 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7750 loss: 0.7750 2022/08/05 13:00:00 - mmengine - INFO - Saving checkpoint at 13 epochs 2022/08/05 13:00:12 - mmengine - INFO - Epoch(train) [14][20/314] lr: 1.9854e-01 eta: 6:40:54 time: 0.4619 data_time: 0.1828 memory: 9706 grad_norm: 1.0216 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/05 13:00:18 - mmengine - INFO - Epoch(train) [14][40/314] lr: 1.9853e-01 eta: 6:40:47 time: 0.3348 data_time: 0.0416 memory: 9706 grad_norm: 1.0673 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8687 loss: 0.8687 2022/08/05 13:00:25 - mmengine - INFO - Epoch(train) [14][60/314] lr: 1.9851e-01 eta: 6:40:42 time: 0.3432 data_time: 0.0424 memory: 9706 grad_norm: 1.0430 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7273 loss: 0.7273 2022/08/05 13:00:32 - mmengine - INFO - Epoch(train) [14][80/314] lr: 1.9850e-01 eta: 6:40:35 time: 0.3363 data_time: 0.0493 memory: 9706 grad_norm: 1.0084 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8050 loss: 0.8050 2022/08/05 13:00:39 - mmengine - INFO - Epoch(train) [14][100/314] lr: 1.9848e-01 eta: 6:40:32 time: 0.3488 data_time: 0.0417 memory: 9706 grad_norm: 1.0716 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7392 loss: 0.7392 2022/08/05 13:00:46 - mmengine - INFO - Epoch(train) [14][120/314] lr: 1.9847e-01 eta: 6:40:25 time: 0.3386 data_time: 0.0402 memory: 9706 grad_norm: 1.0740 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6880 loss: 0.6880 2022/08/05 13:00:52 - mmengine - INFO - Epoch(train) [14][140/314] lr: 1.9846e-01 eta: 6:40:20 time: 0.3410 data_time: 0.0450 memory: 9706 grad_norm: 0.9653 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7444 loss: 0.7444 2022/08/05 13:00:59 - mmengine - INFO - Epoch(train) [14][160/314] lr: 1.9844e-01 eta: 6:40:13 time: 0.3382 data_time: 0.0431 memory: 9706 grad_norm: 1.0323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7002 loss: 0.7002 2022/08/05 13:01:06 - mmengine - INFO - Epoch(train) [14][180/314] lr: 1.9843e-01 eta: 6:40:09 time: 0.3462 data_time: 0.0592 memory: 9706 grad_norm: 1.0504 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7747 loss: 0.7747 2022/08/05 13:01:13 - mmengine - INFO - Epoch(train) [14][200/314] lr: 1.9841e-01 eta: 6:40:02 time: 0.3367 data_time: 0.0415 memory: 9706 grad_norm: 1.0008 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7954 loss: 0.7954 2022/08/05 13:01:20 - mmengine - INFO - Epoch(train) [14][220/314] lr: 1.9840e-01 eta: 6:39:58 time: 0.3449 data_time: 0.0445 memory: 9706 grad_norm: 1.0267 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6568 loss: 0.6568 2022/08/05 13:01:27 - mmengine - INFO - Epoch(train) [14][240/314] lr: 1.9838e-01 eta: 6:39:54 time: 0.3462 data_time: 0.0442 memory: 9706 grad_norm: 1.0243 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8085 loss: 0.8085 2022/08/05 13:01:33 - mmengine - INFO - Epoch(train) [14][260/314] lr: 1.9837e-01 eta: 6:39:47 time: 0.3359 data_time: 0.0416 memory: 9706 grad_norm: 1.0079 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6444 loss: 0.6444 2022/08/05 13:01:40 - mmengine - INFO - Epoch(train) [14][280/314] lr: 1.9835e-01 eta: 6:39:44 time: 0.3510 data_time: 0.0412 memory: 9706 grad_norm: 0.9875 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9501 loss: 0.9501 2022/08/05 13:01:47 - mmengine - INFO - Epoch(train) [14][300/314] lr: 1.9834e-01 eta: 6:39:39 time: 0.3419 data_time: 0.0616 memory: 9706 grad_norm: 1.0232 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7253 loss: 0.7253 2022/08/05 13:01:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:01:51 - mmengine - INFO - Epoch(train) [14][314/314] lr: 1.9833e-01 eta: 6:39:39 time: 0.2882 data_time: 0.0452 memory: 9706 grad_norm: 1.1441 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.8953 loss: 0.8953 2022/08/05 13:01:51 - mmengine - INFO - Saving checkpoint at 14 epochs 2022/08/05 13:02:03 - mmengine - INFO - Epoch(train) [15][20/314] lr: 1.9831e-01 eta: 6:38:51 time: 0.4616 data_time: 0.1860 memory: 9706 grad_norm: 1.0642 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8447 loss: 0.8447 2022/08/05 13:02:10 - mmengine - INFO - Epoch(train) [15][40/314] lr: 1.9830e-01 eta: 6:38:44 time: 0.3365 data_time: 0.0459 memory: 9706 grad_norm: 1.0515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6539 loss: 0.6539 2022/08/05 13:02:16 - mmengine - INFO - Epoch(train) [15][60/314] lr: 1.9828e-01 eta: 6:38:41 time: 0.3478 data_time: 0.0581 memory: 9706 grad_norm: 0.9971 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7324 loss: 0.7324 2022/08/05 13:02:23 - mmengine - INFO - Epoch(train) [15][80/314] lr: 1.9826e-01 eta: 6:38:35 time: 0.3412 data_time: 0.0462 memory: 9706 grad_norm: 1.0146 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.6909 loss: 0.6909 2022/08/05 13:02:30 - mmengine - INFO - Epoch(train) [15][100/314] lr: 1.9825e-01 eta: 6:38:29 time: 0.3399 data_time: 0.0504 memory: 9706 grad_norm: 0.9655 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6206 loss: 0.6206 2022/08/05 13:02:37 - mmengine - INFO - Epoch(train) [15][120/314] lr: 1.9823e-01 eta: 6:38:25 time: 0.3448 data_time: 0.0494 memory: 9706 grad_norm: 1.0258 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8075 loss: 0.8075 2022/08/05 13:02:44 - mmengine - INFO - Epoch(train) [15][140/314] lr: 1.9822e-01 eta: 6:38:18 time: 0.3381 data_time: 0.0412 memory: 9706 grad_norm: 1.0059 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7568 loss: 0.7568 2022/08/05 13:02:51 - mmengine - INFO - Epoch(train) [15][160/314] lr: 1.9820e-01 eta: 6:38:11 time: 0.3374 data_time: 0.0435 memory: 9706 grad_norm: 1.0330 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8318 loss: 0.8318 2022/08/05 13:02:57 - mmengine - INFO - Epoch(train) [15][180/314] lr: 1.9819e-01 eta: 6:38:06 time: 0.3406 data_time: 0.0458 memory: 9706 grad_norm: 0.9995 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6308 loss: 0.6308 2022/08/05 13:03:04 - mmengine - INFO - Epoch(train) [15][200/314] lr: 1.9817e-01 eta: 6:38:01 time: 0.3452 data_time: 0.0417 memory: 9706 grad_norm: 1.0524 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6228 loss: 0.6228 2022/08/05 13:03:11 - mmengine - INFO - Epoch(train) [15][220/314] lr: 1.9816e-01 eta: 6:37:56 time: 0.3428 data_time: 0.0417 memory: 9706 grad_norm: 0.9720 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6638 loss: 0.6638 2022/08/05 13:03:18 - mmengine - INFO - Epoch(train) [15][240/314] lr: 1.9814e-01 eta: 6:37:51 time: 0.3422 data_time: 0.0432 memory: 9706 grad_norm: 0.9846 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6606 loss: 0.6606 2022/08/05 13:03:25 - mmengine - INFO - Epoch(train) [15][260/314] lr: 1.9812e-01 eta: 6:37:45 time: 0.3397 data_time: 0.0464 memory: 9706 grad_norm: 0.9942 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7421 loss: 0.7421 2022/08/05 13:03:32 - mmengine - INFO - Epoch(train) [15][280/314] lr: 1.9811e-01 eta: 6:37:41 time: 0.3471 data_time: 0.0419 memory: 9706 grad_norm: 1.0313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5807 loss: 0.5807 2022/08/05 13:03:38 - mmengine - INFO - Epoch(train) [15][300/314] lr: 1.9809e-01 eta: 6:37:35 time: 0.3413 data_time: 0.0507 memory: 9706 grad_norm: 1.0418 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7566 loss: 0.7566 2022/08/05 13:03:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:03:42 - mmengine - INFO - Epoch(train) [15][314/314] lr: 1.9808e-01 eta: 6:37:35 time: 0.2850 data_time: 0.0402 memory: 9706 grad_norm: 1.1200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6889 loss: 0.6889 2022/08/05 13:03:42 - mmengine - INFO - Saving checkpoint at 15 epochs 2022/08/05 13:03:54 - mmengine - INFO - Epoch(train) [16][20/314] lr: 1.9806e-01 eta: 6:36:50 time: 0.4622 data_time: 0.1909 memory: 9706 grad_norm: 1.0618 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7405 loss: 0.7405 2022/08/05 13:04:01 - mmengine - INFO - Epoch(train) [16][40/314] lr: 1.9805e-01 eta: 6:36:45 time: 0.3413 data_time: 0.0548 memory: 9706 grad_norm: 1.0797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6874 loss: 0.6874 2022/08/05 13:04:08 - mmengine - INFO - Epoch(train) [16][60/314] lr: 1.9803e-01 eta: 6:36:40 time: 0.3440 data_time: 0.0430 memory: 9706 grad_norm: 1.0094 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7172 loss: 0.7172 2022/08/05 13:04:15 - mmengine - INFO - Epoch(train) [16][80/314] lr: 1.9801e-01 eta: 6:36:35 time: 0.3417 data_time: 0.0452 memory: 9706 grad_norm: 1.0055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6442 loss: 0.6442 2022/08/05 13:04:22 - mmengine - INFO - Epoch(train) [16][100/314] lr: 1.9800e-01 eta: 6:36:31 time: 0.3479 data_time: 0.0366 memory: 9706 grad_norm: 1.0121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5267 loss: 0.5267 2022/08/05 13:04:29 - mmengine - INFO - Epoch(train) [16][120/314] lr: 1.9798e-01 eta: 6:36:30 time: 0.3566 data_time: 0.0441 memory: 9706 grad_norm: 1.0475 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7158 loss: 0.7158 2022/08/05 13:04:36 - mmengine - INFO - Epoch(train) [16][140/314] lr: 1.9796e-01 eta: 6:36:24 time: 0.3411 data_time: 0.0416 memory: 9706 grad_norm: 1.0095 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7052 loss: 0.7052 2022/08/05 13:04:42 - mmengine - INFO - Epoch(train) [16][160/314] lr: 1.9795e-01 eta: 6:36:20 time: 0.3453 data_time: 0.0548 memory: 9706 grad_norm: 1.0821 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7886 loss: 0.7886 2022/08/05 13:04:49 - mmengine - INFO - Epoch(train) [16][180/314] lr: 1.9793e-01 eta: 6:36:14 time: 0.3407 data_time: 0.0413 memory: 9706 grad_norm: 1.0085 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7850 loss: 0.7850 2022/08/05 13:04:56 - mmengine - INFO - Epoch(train) [16][200/314] lr: 1.9791e-01 eta: 6:36:08 time: 0.3399 data_time: 0.0412 memory: 9706 grad_norm: 0.9888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6695 loss: 0.6695 2022/08/05 13:05:03 - mmengine - INFO - Epoch(train) [16][220/314] lr: 1.9790e-01 eta: 6:36:05 time: 0.3487 data_time: 0.0605 memory: 9706 grad_norm: 0.9767 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6464 loss: 0.6464 2022/08/05 13:05:10 - mmengine - INFO - Epoch(train) [16][240/314] lr: 1.9788e-01 eta: 6:35:59 time: 0.3396 data_time: 0.0478 memory: 9706 grad_norm: 0.9932 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6641 loss: 0.6641 2022/08/05 13:05:17 - mmengine - INFO - Epoch(train) [16][260/314] lr: 1.9786e-01 eta: 6:35:53 time: 0.3427 data_time: 0.0477 memory: 9706 grad_norm: 1.0172 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6492 loss: 0.6492 2022/08/05 13:05:24 - mmengine - INFO - Epoch(train) [16][280/314] lr: 1.9784e-01 eta: 6:35:53 time: 0.3618 data_time: 0.0402 memory: 9706 grad_norm: 1.0532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7088 loss: 0.7088 2022/08/05 13:05:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:05:31 - mmengine - INFO - Epoch(train) [16][300/314] lr: 1.9783e-01 eta: 6:35:46 time: 0.3346 data_time: 0.0444 memory: 9706 grad_norm: 1.0611 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6212 loss: 0.6212 2022/08/05 13:05:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:05:34 - mmengine - INFO - Epoch(train) [16][314/314] lr: 1.9782e-01 eta: 6:35:46 time: 0.2916 data_time: 0.0367 memory: 9706 grad_norm: 1.0789 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7169 loss: 0.7169 2022/08/05 13:05:34 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/05 13:05:46 - mmengine - INFO - Epoch(train) [17][20/314] lr: 1.9780e-01 eta: 6:35:01 time: 0.4549 data_time: 0.1870 memory: 9706 grad_norm: 1.0753 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7101 loss: 0.7101 2022/08/05 13:05:53 - mmengine - INFO - Epoch(train) [17][40/314] lr: 1.9778e-01 eta: 6:34:56 time: 0.3427 data_time: 0.0390 memory: 9706 grad_norm: 1.0029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7321 loss: 0.7321 2022/08/05 13:06:00 - mmengine - INFO - Epoch(train) [17][60/314] lr: 1.9776e-01 eta: 6:34:51 time: 0.3426 data_time: 0.0428 memory: 9706 grad_norm: 1.0303 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7179 loss: 0.7179 2022/08/05 13:06:07 - mmengine - INFO - Epoch(train) [17][80/314] lr: 1.9775e-01 eta: 6:34:45 time: 0.3413 data_time: 0.0511 memory: 9706 grad_norm: 1.0257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6248 loss: 0.6248 2022/08/05 13:06:14 - mmengine - INFO - Epoch(train) [17][100/314] lr: 1.9773e-01 eta: 6:34:42 time: 0.3502 data_time: 0.0431 memory: 9706 grad_norm: 1.0935 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7585 loss: 0.7585 2022/08/05 13:06:21 - mmengine - INFO - Epoch(train) [17][120/314] lr: 1.9771e-01 eta: 6:34:39 time: 0.3496 data_time: 0.0439 memory: 9706 grad_norm: 1.0487 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7301 loss: 0.7301 2022/08/05 13:06:28 - mmengine - INFO - Epoch(train) [17][140/314] lr: 1.9769e-01 eta: 6:34:33 time: 0.3411 data_time: 0.0416 memory: 9706 grad_norm: 1.0423 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7931 loss: 0.7931 2022/08/05 13:06:35 - mmengine - INFO - Epoch(train) [17][160/314] lr: 1.9767e-01 eta: 6:34:29 time: 0.3474 data_time: 0.0494 memory: 9706 grad_norm: 1.0398 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6817 loss: 0.6817 2022/08/05 13:06:41 - mmengine - INFO - Epoch(train) [17][180/314] lr: 1.9766e-01 eta: 6:34:24 time: 0.3422 data_time: 0.0425 memory: 9706 grad_norm: 1.0010 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6356 loss: 0.6356 2022/08/05 13:06:48 - mmengine - INFO - Epoch(train) [17][200/314] lr: 1.9764e-01 eta: 6:34:20 time: 0.3484 data_time: 0.0430 memory: 9706 grad_norm: 1.0155 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6022 loss: 0.6022 2022/08/05 13:06:55 - mmengine - INFO - Epoch(train) [17][220/314] lr: 1.9762e-01 eta: 6:34:15 time: 0.3439 data_time: 0.0430 memory: 9706 grad_norm: 1.0252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7854 loss: 0.7854 2022/08/05 13:07:02 - mmengine - INFO - Epoch(train) [17][240/314] lr: 1.9760e-01 eta: 6:34:09 time: 0.3426 data_time: 0.0547 memory: 9706 grad_norm: 1.0624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7238 loss: 0.7238 2022/08/05 13:07:09 - mmengine - INFO - Epoch(train) [17][260/314] lr: 1.9758e-01 eta: 6:34:06 time: 0.3481 data_time: 0.0417 memory: 9706 grad_norm: 1.0449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6396 loss: 0.6396 2022/08/05 13:07:16 - mmengine - INFO - Epoch(train) [17][280/314] lr: 1.9757e-01 eta: 6:33:59 time: 0.3363 data_time: 0.0464 memory: 9706 grad_norm: 0.9989 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5901 loss: 0.5901 2022/08/05 13:07:23 - mmengine - INFO - Epoch(train) [17][300/314] lr: 1.9755e-01 eta: 6:33:52 time: 0.3379 data_time: 0.0529 memory: 9706 grad_norm: 0.9881 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6734 loss: 0.6734 2022/08/05 13:07:26 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:07:26 - mmengine - INFO - Epoch(train) [17][314/314] lr: 1.9754e-01 eta: 6:33:52 time: 0.2862 data_time: 0.0407 memory: 9706 grad_norm: 1.0373 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6066 loss: 0.6066 2022/08/05 13:07:26 - mmengine - INFO - Saving checkpoint at 17 epochs 2022/08/05 13:07:39 - mmengine - INFO - Epoch(train) [18][20/314] lr: 1.9752e-01 eta: 6:33:15 time: 0.4761 data_time: 0.1924 memory: 9706 grad_norm: 1.0651 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6872 loss: 0.6872 2022/08/05 13:07:45 - mmengine - INFO - Epoch(train) [18][40/314] lr: 1.9750e-01 eta: 6:33:08 time: 0.3348 data_time: 0.0400 memory: 9706 grad_norm: 1.0428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6619 loss: 0.6619 2022/08/05 13:07:55 - mmengine - INFO - Epoch(train) [18][60/314] lr: 1.9748e-01 eta: 6:33:41 time: 0.4930 data_time: 0.0420 memory: 9706 grad_norm: 1.0106 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6583 loss: 0.6583 2022/08/05 13:08:02 - mmengine - INFO - Epoch(train) [18][80/314] lr: 1.9746e-01 eta: 6:33:36 time: 0.3421 data_time: 0.0489 memory: 9706 grad_norm: 1.0584 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6991 loss: 0.6991 2022/08/05 13:08:09 - mmengine - INFO - Epoch(train) [18][100/314] lr: 1.9744e-01 eta: 6:33:33 time: 0.3526 data_time: 0.0428 memory: 9706 grad_norm: 0.9602 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6256 loss: 0.6256 2022/08/05 13:08:16 - mmengine - INFO - Epoch(train) [18][120/314] lr: 1.9742e-01 eta: 6:33:26 time: 0.3386 data_time: 0.0568 memory: 9706 grad_norm: 1.0133 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6218 loss: 0.6218 2022/08/05 13:08:23 - mmengine - INFO - Epoch(train) [18][140/314] lr: 1.9740e-01 eta: 6:33:20 time: 0.3385 data_time: 0.0417 memory: 9706 grad_norm: 1.0354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5551 loss: 0.5551 2022/08/05 13:08:30 - mmengine - INFO - Epoch(train) [18][160/314] lr: 1.9739e-01 eta: 6:33:18 time: 0.3583 data_time: 0.0537 memory: 9706 grad_norm: 0.9803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6547 loss: 0.6547 2022/08/05 13:08:37 - mmengine - INFO - Epoch(train) [18][180/314] lr: 1.9737e-01 eta: 6:33:13 time: 0.3448 data_time: 0.0399 memory: 9706 grad_norm: 1.0531 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8213 loss: 0.8213 2022/08/05 13:08:43 - mmengine - INFO - Epoch(train) [18][200/314] lr: 1.9735e-01 eta: 6:33:08 time: 0.3427 data_time: 0.0501 memory: 9706 grad_norm: 1.0525 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6929 loss: 0.6929 2022/08/05 13:08:50 - mmengine - INFO - Epoch(train) [18][220/314] lr: 1.9733e-01 eta: 6:33:02 time: 0.3405 data_time: 0.0402 memory: 9706 grad_norm: 1.0497 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7263 loss: 0.7263 2022/08/05 13:08:57 - mmengine - INFO - Epoch(train) [18][240/314] lr: 1.9731e-01 eta: 6:32:56 time: 0.3423 data_time: 0.0424 memory: 9706 grad_norm: 0.9730 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5906 loss: 0.5906 2022/08/05 13:09:04 - mmengine - INFO - Epoch(train) [18][260/314] lr: 1.9729e-01 eta: 6:32:51 time: 0.3445 data_time: 0.0467 memory: 9706 grad_norm: 1.0139 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.7164 loss: 0.7164 2022/08/05 13:09:11 - mmengine - INFO - Epoch(train) [18][280/314] lr: 1.9727e-01 eta: 6:32:47 time: 0.3479 data_time: 0.0494 memory: 9706 grad_norm: 1.0671 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6916 loss: 0.6916 2022/08/05 13:09:18 - mmengine - INFO - Epoch(train) [18][300/314] lr: 1.9725e-01 eta: 6:32:39 time: 0.3366 data_time: 0.0444 memory: 9706 grad_norm: 0.9948 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6160 loss: 0.6160 2022/08/05 13:09:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:09:21 - mmengine - INFO - Epoch(train) [18][314/314] lr: 1.9724e-01 eta: 6:32:39 time: 0.2925 data_time: 0.0371 memory: 9706 grad_norm: 0.9842 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 0.6492 loss: 0.6492 2022/08/05 13:09:22 - mmengine - INFO - Saving checkpoint at 18 epochs 2022/08/05 13:09:33 - mmengine - INFO - Epoch(train) [19][20/314] lr: 1.9722e-01 eta: 6:32:01 time: 0.4648 data_time: 0.1945 memory: 9706 grad_norm: 1.0613 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7432 loss: 0.7432 2022/08/05 13:09:40 - mmengine - INFO - Epoch(train) [19][40/314] lr: 1.9720e-01 eta: 6:31:54 time: 0.3355 data_time: 0.0410 memory: 9706 grad_norm: 1.0638 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.6721 loss: 0.6721 2022/08/05 13:09:47 - mmengine - INFO - Epoch(train) [19][60/314] lr: 1.9718e-01 eta: 6:31:49 time: 0.3450 data_time: 0.0401 memory: 9706 grad_norm: 0.9798 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6358 loss: 0.6358 2022/08/05 13:09:54 - mmengine - INFO - Epoch(train) [19][80/314] lr: 1.9716e-01 eta: 6:31:44 time: 0.3472 data_time: 0.0471 memory: 9706 grad_norm: 1.0734 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7278 loss: 0.7278 2022/08/05 13:10:01 - mmengine - INFO - Epoch(train) [19][100/314] lr: 1.9714e-01 eta: 6:31:37 time: 0.3359 data_time: 0.0531 memory: 9706 grad_norm: 1.0311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7198 loss: 0.7198 2022/08/05 13:10:07 - mmengine - INFO - Epoch(train) [19][120/314] lr: 1.9712e-01 eta: 6:31:32 time: 0.3438 data_time: 0.0539 memory: 9706 grad_norm: 1.0208 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6363 loss: 0.6363 2022/08/05 13:10:14 - mmengine - INFO - Epoch(train) [19][140/314] lr: 1.9710e-01 eta: 6:31:28 time: 0.3506 data_time: 0.0429 memory: 9706 grad_norm: 1.0170 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6634 loss: 0.6634 2022/08/05 13:10:21 - mmengine - INFO - Epoch(train) [19][160/314] lr: 1.9708e-01 eta: 6:31:22 time: 0.3385 data_time: 0.0475 memory: 9706 grad_norm: 1.0264 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 0.6849 loss: 0.6849 2022/08/05 13:10:28 - mmengine - INFO - Epoch(train) [19][180/314] lr: 1.9706e-01 eta: 6:31:17 time: 0.3460 data_time: 0.0545 memory: 9706 grad_norm: 1.0721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6711 loss: 0.6711 2022/08/05 13:10:35 - mmengine - INFO - Epoch(train) [19][200/314] lr: 1.9704e-01 eta: 6:31:09 time: 0.3331 data_time: 0.0456 memory: 9706 grad_norm: 1.0143 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6979 loss: 0.6979 2022/08/05 13:10:42 - mmengine - INFO - Epoch(train) [19][220/314] lr: 1.9702e-01 eta: 6:31:04 time: 0.3450 data_time: 0.0417 memory: 9706 grad_norm: 1.0851 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6419 loss: 0.6419 2022/08/05 13:10:49 - mmengine - INFO - Epoch(train) [19][240/314] lr: 1.9700e-01 eta: 6:30:59 time: 0.3433 data_time: 0.0421 memory: 9706 grad_norm: 1.0129 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6814 loss: 0.6814 2022/08/05 13:10:55 - mmengine - INFO - Epoch(train) [19][260/314] lr: 1.9698e-01 eta: 6:30:54 time: 0.3443 data_time: 0.0409 memory: 9706 grad_norm: 1.0000 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6850 loss: 0.6850 2022/08/05 13:11:02 - mmengine - INFO - Epoch(train) [19][280/314] lr: 1.9696e-01 eta: 6:30:48 time: 0.3421 data_time: 0.0410 memory: 9706 grad_norm: 1.0199 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5782 loss: 0.5782 2022/08/05 13:11:09 - mmengine - INFO - Epoch(train) [19][300/314] lr: 1.9694e-01 eta: 6:30:42 time: 0.3397 data_time: 0.0436 memory: 9706 grad_norm: 0.9958 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6440 loss: 0.6440 2022/08/05 13:11:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:11:13 - mmengine - INFO - Epoch(train) [19][314/314] lr: 1.9692e-01 eta: 6:30:42 time: 0.2823 data_time: 0.0364 memory: 9706 grad_norm: 1.1052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6774 loss: 0.6774 2022/08/05 13:11:13 - mmengine - INFO - Saving checkpoint at 19 epochs 2022/08/05 13:11:25 - mmengine - INFO - Epoch(train) [20][20/314] lr: 1.9690e-01 eta: 6:30:04 time: 0.4613 data_time: 0.1816 memory: 9706 grad_norm: 1.0217 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7267 loss: 0.7267 2022/08/05 13:11:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:11:31 - mmengine - INFO - Epoch(train) [20][40/314] lr: 1.9688e-01 eta: 6:29:59 time: 0.3451 data_time: 0.0521 memory: 9706 grad_norm: 0.9994 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6781 loss: 0.6781 2022/08/05 13:11:38 - mmengine - INFO - Epoch(train) [20][60/314] lr: 1.9686e-01 eta: 6:29:52 time: 0.3363 data_time: 0.0454 memory: 9706 grad_norm: 1.0407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7028 loss: 0.7028 2022/08/05 13:11:45 - mmengine - INFO - Epoch(train) [20][80/314] lr: 1.9684e-01 eta: 6:29:48 time: 0.3496 data_time: 0.0446 memory: 9706 grad_norm: 1.0610 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6192 loss: 0.6192 2022/08/05 13:11:52 - mmengine - INFO - Epoch(train) [20][100/314] lr: 1.9682e-01 eta: 6:29:43 time: 0.3450 data_time: 0.0590 memory: 9706 grad_norm: 0.9865 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6076 loss: 0.6076 2022/08/05 13:11:59 - mmengine - INFO - Epoch(train) [20][120/314] lr: 1.9680e-01 eta: 6:29:37 time: 0.3420 data_time: 0.0501 memory: 9706 grad_norm: 1.0482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5970 loss: 0.5970 2022/08/05 13:12:06 - mmengine - INFO - Epoch(train) [20][140/314] lr: 1.9678e-01 eta: 6:29:32 time: 0.3433 data_time: 0.0483 memory: 9706 grad_norm: 1.0129 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7518 loss: 0.7518 2022/08/05 13:12:13 - mmengine - INFO - Epoch(train) [20][160/314] lr: 1.9676e-01 eta: 6:29:26 time: 0.3396 data_time: 0.0403 memory: 9706 grad_norm: 1.0836 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6596 loss: 0.6596 2022/08/05 13:12:19 - mmengine - INFO - Epoch(train) [20][180/314] lr: 1.9674e-01 eta: 6:29:19 time: 0.3400 data_time: 0.0404 memory: 9706 grad_norm: 1.0269 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6883 loss: 0.6883 2022/08/05 13:12:26 - mmengine - INFO - Epoch(train) [20][200/314] lr: 1.9672e-01 eta: 6:29:15 time: 0.3457 data_time: 0.0421 memory: 9706 grad_norm: 1.0144 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6891 loss: 0.6891 2022/08/05 13:12:33 - mmengine - INFO - Epoch(train) [20][220/314] lr: 1.9669e-01 eta: 6:29:09 time: 0.3443 data_time: 0.0444 memory: 9706 grad_norm: 1.0293 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5820 loss: 0.5820 2022/08/05 13:12:40 - mmengine - INFO - Epoch(train) [20][240/314] lr: 1.9667e-01 eta: 6:29:05 time: 0.3475 data_time: 0.0400 memory: 9706 grad_norm: 1.0425 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6649 loss: 0.6649 2022/08/05 13:12:47 - mmengine - INFO - Epoch(train) [20][260/314] lr: 1.9665e-01 eta: 6:28:58 time: 0.3367 data_time: 0.0516 memory: 9706 grad_norm: 0.9844 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7382 loss: 0.7382 2022/08/05 13:12:54 - mmengine - INFO - Epoch(train) [20][280/314] lr: 1.9663e-01 eta: 6:28:52 time: 0.3420 data_time: 0.0473 memory: 9706 grad_norm: 0.9898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5298 loss: 0.5298 2022/08/05 13:13:01 - mmengine - INFO - Epoch(train) [20][300/314] lr: 1.9661e-01 eta: 6:28:47 time: 0.3452 data_time: 0.0397 memory: 9706 grad_norm: 1.0063 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.5833 loss: 0.5833 2022/08/05 13:13:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:13:04 - mmengine - INFO - Epoch(train) [20][314/314] lr: 1.9659e-01 eta: 6:28:47 time: 0.2898 data_time: 0.0388 memory: 9706 grad_norm: 1.0621 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6975 loss: 0.6975 2022/08/05 13:13:04 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/05 13:13:18 - mmengine - INFO - Epoch(val) [20][20/129] eta: 0:00:55 time: 0.5047 data_time: 0.3238 memory: 1867 2022/08/05 13:13:24 - mmengine - INFO - Epoch(val) [20][40/129] eta: 0:00:28 time: 0.3187 data_time: 0.1322 memory: 1867 2022/08/05 13:13:31 - mmengine - INFO - Epoch(val) [20][60/129] eta: 0:00:24 time: 0.3573 data_time: 0.1779 memory: 1867 2022/08/05 13:13:38 - mmengine - INFO - Epoch(val) [20][80/129] eta: 0:00:15 time: 0.3263 data_time: 0.1460 memory: 1867 2022/08/05 13:13:44 - mmengine - INFO - Epoch(val) [20][100/129] eta: 0:00:09 time: 0.3280 data_time: 0.1478 memory: 1867 2022/08/05 13:13:49 - mmengine - INFO - Epoch(val) [20][120/129] eta: 0:00:02 time: 0.2586 data_time: 0.1020 memory: 1867 2022/08/05 13:13:51 - mmengine - INFO - Epoch(val) [20][129/129] acc/top1: 0.7721 acc/top5: 0.9740 acc/mean1: 0.7719 2022/08/05 13:13:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_11.pth is removed 2022/08/05 13:13:54 - mmengine - INFO - The best checkpoint with 0.7721 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/05 13:14:03 - mmengine - INFO - Epoch(train) [21][20/314] lr: 1.9657e-01 eta: 6:28:09 time: 0.4540 data_time: 0.1798 memory: 9706 grad_norm: 1.0321 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5893 loss: 0.5893 2022/08/05 13:14:10 - mmengine - INFO - Epoch(train) [21][40/314] lr: 1.9655e-01 eta: 6:28:05 time: 0.3483 data_time: 0.0541 memory: 9706 grad_norm: 0.9798 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6979 loss: 0.6979 2022/08/05 13:14:17 - mmengine - INFO - Epoch(train) [21][60/314] lr: 1.9653e-01 eta: 6:27:58 time: 0.3353 data_time: 0.0422 memory: 9706 grad_norm: 1.0036 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5231 loss: 0.5231 2022/08/05 13:14:24 - mmengine - INFO - Epoch(train) [21][80/314] lr: 1.9651e-01 eta: 6:27:53 time: 0.3466 data_time: 0.0496 memory: 9706 grad_norm: 1.0502 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6002 loss: 0.6002 2022/08/05 13:14:31 - mmengine - INFO - Epoch(train) [21][100/314] lr: 1.9648e-01 eta: 6:27:47 time: 0.3399 data_time: 0.0417 memory: 9706 grad_norm: 1.0157 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6337 loss: 0.6337 2022/08/05 13:14:37 - mmengine - INFO - Epoch(train) [21][120/314] lr: 1.9646e-01 eta: 6:27:42 time: 0.3449 data_time: 0.0437 memory: 9706 grad_norm: 0.9797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6962 loss: 0.6962 2022/08/05 13:14:44 - mmengine - INFO - Epoch(train) [21][140/314] lr: 1.9644e-01 eta: 6:27:35 time: 0.3386 data_time: 0.0462 memory: 9706 grad_norm: 1.0711 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7068 loss: 0.7068 2022/08/05 13:14:51 - mmengine - INFO - Epoch(train) [21][160/314] lr: 1.9642e-01 eta: 6:27:31 time: 0.3470 data_time: 0.0574 memory: 9706 grad_norm: 1.0305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6576 loss: 0.6576 2022/08/05 13:14:58 - mmengine - INFO - Epoch(train) [21][180/314] lr: 1.9640e-01 eta: 6:27:26 time: 0.3463 data_time: 0.0415 memory: 9706 grad_norm: 1.1086 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.6886 loss: 0.6886 2022/08/05 13:15:05 - mmengine - INFO - Epoch(train) [21][200/314] lr: 1.9637e-01 eta: 6:27:21 time: 0.3487 data_time: 0.0417 memory: 9706 grad_norm: 0.9889 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6320 loss: 0.6320 2022/08/05 13:15:12 - mmengine - INFO - Epoch(train) [21][220/314] lr: 1.9635e-01 eta: 6:27:15 time: 0.3373 data_time: 0.0440 memory: 9706 grad_norm: 1.0628 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6380 loss: 0.6380 2022/08/05 13:15:19 - mmengine - INFO - Epoch(train) [21][240/314] lr: 1.9633e-01 eta: 6:27:10 time: 0.3460 data_time: 0.0547 memory: 9706 grad_norm: 1.1027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5955 loss: 0.5955 2022/08/05 13:15:26 - mmengine - INFO - Epoch(train) [21][260/314] lr: 1.9631e-01 eta: 6:27:05 time: 0.3462 data_time: 0.0615 memory: 9706 grad_norm: 1.0198 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6044 loss: 0.6044 2022/08/05 13:15:33 - mmengine - INFO - Epoch(train) [21][280/314] lr: 1.9629e-01 eta: 6:27:00 time: 0.3483 data_time: 0.0456 memory: 9706 grad_norm: 1.0225 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7041 loss: 0.7041 2022/08/05 13:15:39 - mmengine - INFO - Epoch(train) [21][300/314] lr: 1.9626e-01 eta: 6:26:53 time: 0.3369 data_time: 0.0411 memory: 9706 grad_norm: 0.9665 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.6626 loss: 0.6626 2022/08/05 13:15:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:15:43 - mmengine - INFO - Epoch(train) [21][314/314] lr: 1.9625e-01 eta: 6:26:53 time: 0.2878 data_time: 0.0377 memory: 9706 grad_norm: 1.0367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6656 loss: 0.6656 2022/08/05 13:15:43 - mmengine - INFO - Saving checkpoint at 21 epochs 2022/08/05 13:15:55 - mmengine - INFO - Epoch(train) [22][20/314] lr: 1.9622e-01 eta: 6:26:19 time: 0.4624 data_time: 0.1867 memory: 9706 grad_norm: 1.0923 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6209 loss: 0.6209 2022/08/05 13:16:02 - mmengine - INFO - Epoch(train) [22][40/314] lr: 1.9620e-01 eta: 6:26:14 time: 0.3481 data_time: 0.0478 memory: 9706 grad_norm: 1.0246 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5855 loss: 0.5855 2022/08/05 13:16:09 - mmengine - INFO - Epoch(train) [22][60/314] lr: 1.9618e-01 eta: 6:26:07 time: 0.3337 data_time: 0.0460 memory: 9706 grad_norm: 1.0674 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7002 loss: 0.7002 2022/08/05 13:16:16 - mmengine - INFO - Epoch(train) [22][80/314] lr: 1.9616e-01 eta: 6:26:02 time: 0.3454 data_time: 0.0484 memory: 9706 grad_norm: 1.0077 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6623 loss: 0.6623 2022/08/05 13:16:23 - mmengine - INFO - Epoch(train) [22][100/314] lr: 1.9613e-01 eta: 6:25:56 time: 0.3436 data_time: 0.0499 memory: 9706 grad_norm: 1.0123 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6329 loss: 0.6329 2022/08/05 13:16:29 - mmengine - INFO - Epoch(train) [22][120/314] lr: 1.9611e-01 eta: 6:25:50 time: 0.3404 data_time: 0.0443 memory: 9706 grad_norm: 0.9760 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6174 loss: 0.6174 2022/08/05 13:16:36 - mmengine - INFO - Epoch(train) [22][140/314] lr: 1.9609e-01 eta: 6:25:45 time: 0.3444 data_time: 0.0398 memory: 9706 grad_norm: 1.0207 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6162 loss: 0.6162 2022/08/05 13:16:43 - mmengine - INFO - Epoch(train) [22][160/314] lr: 1.9606e-01 eta: 6:25:40 time: 0.3455 data_time: 0.0401 memory: 9706 grad_norm: 1.0497 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8041 loss: 0.8041 2022/08/05 13:16:50 - mmengine - INFO - Epoch(train) [22][180/314] lr: 1.9604e-01 eta: 6:25:34 time: 0.3430 data_time: 0.0423 memory: 9706 grad_norm: 1.0820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6286 loss: 0.6286 2022/08/05 13:16:57 - mmengine - INFO - Epoch(train) [22][200/314] lr: 1.9602e-01 eta: 6:25:28 time: 0.3382 data_time: 0.0422 memory: 9706 grad_norm: 1.0312 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7680 loss: 0.7680 2022/08/05 13:17:04 - mmengine - INFO - Epoch(train) [22][220/314] lr: 1.9599e-01 eta: 6:25:24 time: 0.3545 data_time: 0.0403 memory: 9706 grad_norm: 0.9874 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6050 loss: 0.6050 2022/08/05 13:17:11 - mmengine - INFO - Epoch(train) [22][240/314] lr: 1.9597e-01 eta: 6:25:18 time: 0.3411 data_time: 0.0436 memory: 9706 grad_norm: 1.0044 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5636 loss: 0.5636 2022/08/05 13:17:17 - mmengine - INFO - Epoch(train) [22][260/314] lr: 1.9595e-01 eta: 6:25:12 time: 0.3406 data_time: 0.0433 memory: 9706 grad_norm: 1.0382 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6547 loss: 0.6547 2022/08/05 13:17:24 - mmengine - INFO - Epoch(train) [22][280/314] lr: 1.9592e-01 eta: 6:25:06 time: 0.3413 data_time: 0.0452 memory: 9706 grad_norm: 0.9908 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6307 loss: 0.6307 2022/08/05 13:17:31 - mmengine - INFO - Epoch(train) [22][300/314] lr: 1.9590e-01 eta: 6:25:00 time: 0.3373 data_time: 0.0472 memory: 9706 grad_norm: 1.0589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6812 loss: 0.6812 2022/08/05 13:17:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:17:35 - mmengine - INFO - Epoch(train) [22][314/314] lr: 1.9588e-01 eta: 6:25:00 time: 0.2857 data_time: 0.0374 memory: 9706 grad_norm: 1.1103 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.6439 loss: 0.6439 2022/08/05 13:17:35 - mmengine - INFO - Saving checkpoint at 22 epochs 2022/08/05 13:17:47 - mmengine - INFO - Epoch(train) [23][20/314] lr: 1.9586e-01 eta: 6:24:27 time: 0.4672 data_time: 0.1912 memory: 9706 grad_norm: 1.0004 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5890 loss: 0.5890 2022/08/05 13:17:54 - mmengine - INFO - Epoch(train) [23][40/314] lr: 1.9584e-01 eta: 6:24:20 time: 0.3352 data_time: 0.0421 memory: 9706 grad_norm: 0.9921 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6604 loss: 0.6604 2022/08/05 13:18:01 - mmengine - INFO - Epoch(train) [23][60/314] lr: 1.9581e-01 eta: 6:24:15 time: 0.3481 data_time: 0.0408 memory: 9706 grad_norm: 1.0598 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6779 loss: 0.6779 2022/08/05 13:18:07 - mmengine - INFO - Epoch(train) [23][80/314] lr: 1.9579e-01 eta: 6:24:10 time: 0.3414 data_time: 0.0431 memory: 9706 grad_norm: 1.0523 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6640 loss: 0.6640 2022/08/05 13:18:11 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:18:14 - mmengine - INFO - Epoch(train) [23][100/314] lr: 1.9576e-01 eta: 6:24:04 time: 0.3413 data_time: 0.0483 memory: 9706 grad_norm: 1.0468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5699 loss: 0.5699 2022/08/05 13:18:21 - mmengine - INFO - Epoch(train) [23][120/314] lr: 1.9574e-01 eta: 6:23:58 time: 0.3410 data_time: 0.0482 memory: 9706 grad_norm: 1.0478 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6159 loss: 0.6159 2022/08/05 13:18:28 - mmengine - INFO - Epoch(train) [23][140/314] lr: 1.9572e-01 eta: 6:23:53 time: 0.3480 data_time: 0.0392 memory: 9706 grad_norm: 1.0439 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5823 loss: 0.5823 2022/08/05 13:18:35 - mmengine - INFO - Epoch(train) [23][160/314] lr: 1.9569e-01 eta: 6:23:47 time: 0.3390 data_time: 0.0439 memory: 9706 grad_norm: 1.0394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6867 loss: 0.6867 2022/08/05 13:18:42 - mmengine - INFO - Epoch(train) [23][180/314] lr: 1.9567e-01 eta: 6:23:42 time: 0.3475 data_time: 0.0383 memory: 9706 grad_norm: 1.0250 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5969 loss: 0.5969 2022/08/05 13:18:49 - mmengine - INFO - Epoch(train) [23][200/314] lr: 1.9564e-01 eta: 6:23:36 time: 0.3408 data_time: 0.0457 memory: 9706 grad_norm: 1.0066 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6560 loss: 0.6560 2022/08/05 13:18:55 - mmengine - INFO - Epoch(train) [23][220/314] lr: 1.9562e-01 eta: 6:23:30 time: 0.3440 data_time: 0.0437 memory: 9706 grad_norm: 0.9976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5903 loss: 0.5903 2022/08/05 13:19:02 - mmengine - INFO - Epoch(train) [23][240/314] lr: 1.9559e-01 eta: 6:23:24 time: 0.3420 data_time: 0.0407 memory: 9706 grad_norm: 1.0872 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5967 loss: 0.5967 2022/08/05 13:19:09 - mmengine - INFO - Epoch(train) [23][260/314] lr: 1.9557e-01 eta: 6:23:19 time: 0.3445 data_time: 0.0454 memory: 9706 grad_norm: 1.0464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7053 loss: 0.7053 2022/08/05 13:19:16 - mmengine - INFO - Epoch(train) [23][280/314] lr: 1.9555e-01 eta: 6:23:15 time: 0.3495 data_time: 0.0412 memory: 9706 grad_norm: 1.0797 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6616 loss: 0.6616 2022/08/05 13:19:23 - mmengine - INFO - Epoch(train) [23][300/314] lr: 1.9552e-01 eta: 6:23:09 time: 0.3440 data_time: 0.0441 memory: 9706 grad_norm: 1.0191 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6164 loss: 0.6164 2022/08/05 13:19:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:19:27 - mmengine - INFO - Epoch(train) [23][314/314] lr: 1.9550e-01 eta: 6:23:09 time: 0.2952 data_time: 0.0363 memory: 9706 grad_norm: 1.1961 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.6687 loss: 0.6687 2022/08/05 13:19:27 - mmengine - INFO - Saving checkpoint at 23 epochs 2022/08/05 13:19:39 - mmengine - INFO - Epoch(train) [24][20/314] lr: 1.9548e-01 eta: 6:22:36 time: 0.4585 data_time: 0.1846 memory: 9706 grad_norm: 1.0953 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6889 loss: 0.6889 2022/08/05 13:19:45 - mmengine - INFO - Epoch(train) [24][40/314] lr: 1.9545e-01 eta: 6:22:29 time: 0.3341 data_time: 0.0449 memory: 9706 grad_norm: 1.0024 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6528 loss: 0.6528 2022/08/05 13:19:52 - mmengine - INFO - Epoch(train) [24][60/314] lr: 1.9543e-01 eta: 6:22:24 time: 0.3483 data_time: 0.0515 memory: 9706 grad_norm: 1.0210 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6294 loss: 0.6294 2022/08/05 13:19:59 - mmengine - INFO - Epoch(train) [24][80/314] lr: 1.9540e-01 eta: 6:22:18 time: 0.3377 data_time: 0.0409 memory: 9706 grad_norm: 0.9999 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6872 loss: 0.6872 2022/08/05 13:20:06 - mmengine - INFO - Epoch(train) [24][100/314] lr: 1.9538e-01 eta: 6:22:13 time: 0.3466 data_time: 0.0439 memory: 9706 grad_norm: 1.0133 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6344 loss: 0.6344 2022/08/05 13:20:13 - mmengine - INFO - Epoch(train) [24][120/314] lr: 1.9535e-01 eta: 6:22:08 time: 0.3465 data_time: 0.0403 memory: 9706 grad_norm: 1.0225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6973 loss: 0.6973 2022/08/05 13:20:20 - mmengine - INFO - Epoch(train) [24][140/314] lr: 1.9533e-01 eta: 6:22:01 time: 0.3386 data_time: 0.0411 memory: 9706 grad_norm: 1.0143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7202 loss: 0.7202 2022/08/05 13:20:27 - mmengine - INFO - Epoch(train) [24][160/314] lr: 1.9530e-01 eta: 6:21:56 time: 0.3473 data_time: 0.0490 memory: 9706 grad_norm: 0.9869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6011 loss: 0.6011 2022/08/05 13:20:33 - mmengine - INFO - Epoch(train) [24][180/314] lr: 1.9528e-01 eta: 6:21:51 time: 0.3430 data_time: 0.0568 memory: 9706 grad_norm: 0.9765 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5776 loss: 0.5776 2022/08/05 13:20:40 - mmengine - INFO - Epoch(train) [24][200/314] lr: 1.9525e-01 eta: 6:21:45 time: 0.3452 data_time: 0.0475 memory: 9706 grad_norm: 0.9370 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6251 loss: 0.6251 2022/08/05 13:20:47 - mmengine - INFO - Epoch(train) [24][220/314] lr: 1.9523e-01 eta: 6:21:39 time: 0.3398 data_time: 0.0407 memory: 9706 grad_norm: 0.9879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5748 loss: 0.5748 2022/08/05 13:20:54 - mmengine - INFO - Epoch(train) [24][240/314] lr: 1.9520e-01 eta: 6:21:33 time: 0.3434 data_time: 0.0411 memory: 9706 grad_norm: 0.9859 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6271 loss: 0.6271 2022/08/05 13:21:01 - mmengine - INFO - Epoch(train) [24][260/314] lr: 1.9518e-01 eta: 6:21:27 time: 0.3413 data_time: 0.0535 memory: 9706 grad_norm: 1.0710 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7471 loss: 0.7471 2022/08/05 13:21:08 - mmengine - INFO - Epoch(train) [24][280/314] lr: 1.9515e-01 eta: 6:21:22 time: 0.3433 data_time: 0.0429 memory: 9706 grad_norm: 1.0317 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6567 loss: 0.6567 2022/08/05 13:21:14 - mmengine - INFO - Epoch(train) [24][300/314] lr: 1.9512e-01 eta: 6:21:15 time: 0.3371 data_time: 0.0400 memory: 9706 grad_norm: 0.9778 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5928 loss: 0.5928 2022/08/05 13:21:18 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:21:18 - mmengine - INFO - Epoch(train) [24][314/314] lr: 1.9511e-01 eta: 6:21:15 time: 0.2875 data_time: 0.0365 memory: 9706 grad_norm: 1.0659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6563 loss: 0.6563 2022/08/05 13:21:18 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/05 13:21:30 - mmengine - INFO - Epoch(train) [25][20/314] lr: 1.9508e-01 eta: 6:20:43 time: 0.4592 data_time: 0.1702 memory: 9706 grad_norm: 1.0032 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6745 loss: 0.6745 2022/08/05 13:21:37 - mmengine - INFO - Epoch(train) [25][40/314] lr: 1.9506e-01 eta: 6:20:37 time: 0.3399 data_time: 0.0489 memory: 9706 grad_norm: 0.9673 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5400 loss: 0.5400 2022/08/05 13:21:44 - mmengine - INFO - Epoch(train) [25][60/314] lr: 1.9503e-01 eta: 6:20:31 time: 0.3391 data_time: 0.0419 memory: 9706 grad_norm: 1.0243 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5950 loss: 0.5950 2022/08/05 13:21:50 - mmengine - INFO - Epoch(train) [25][80/314] lr: 1.9500e-01 eta: 6:20:24 time: 0.3398 data_time: 0.0504 memory: 9706 grad_norm: 0.9840 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7082 loss: 0.7082 2022/08/05 13:21:57 - mmengine - INFO - Epoch(train) [25][100/314] lr: 1.9498e-01 eta: 6:20:18 time: 0.3406 data_time: 0.0394 memory: 9706 grad_norm: 0.9689 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6543 loss: 0.6543 2022/08/05 13:22:04 - mmengine - INFO - Epoch(train) [25][120/314] lr: 1.9495e-01 eta: 6:20:13 time: 0.3425 data_time: 0.0420 memory: 9706 grad_norm: 1.0259 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5825 loss: 0.5825 2022/08/05 13:22:11 - mmengine - INFO - Epoch(train) [25][140/314] lr: 1.9492e-01 eta: 6:20:08 time: 0.3482 data_time: 0.0424 memory: 9706 grad_norm: 1.0252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5893 loss: 0.5893 2022/08/05 13:22:18 - mmengine - INFO - Epoch(train) [25][160/314] lr: 1.9490e-01 eta: 6:20:01 time: 0.3378 data_time: 0.0476 memory: 9706 grad_norm: 1.0527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7262 loss: 0.7262 2022/08/05 13:22:25 - mmengine - INFO - Epoch(train) [25][180/314] lr: 1.9487e-01 eta: 6:19:55 time: 0.3416 data_time: 0.0431 memory: 9706 grad_norm: 1.0287 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6808 loss: 0.6808 2022/08/05 13:22:31 - mmengine - INFO - Epoch(train) [25][200/314] lr: 1.9485e-01 eta: 6:19:49 time: 0.3383 data_time: 0.0415 memory: 9706 grad_norm: 1.0024 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6265 loss: 0.6265 2022/08/05 13:22:38 - mmengine - INFO - Epoch(train) [25][220/314] lr: 1.9482e-01 eta: 6:19:44 time: 0.3465 data_time: 0.0402 memory: 9706 grad_norm: 1.0327 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7100 loss: 0.7100 2022/08/05 13:22:45 - mmengine - INFO - Epoch(train) [25][240/314] lr: 1.9479e-01 eta: 6:19:38 time: 0.3432 data_time: 0.0484 memory: 9706 grad_norm: 1.0611 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6683 loss: 0.6683 2022/08/05 13:22:52 - mmengine - INFO - Epoch(train) [25][260/314] lr: 1.9477e-01 eta: 6:19:32 time: 0.3404 data_time: 0.0417 memory: 9706 grad_norm: 1.0079 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6728 loss: 0.6728 2022/08/05 13:22:59 - mmengine - INFO - Epoch(train) [25][280/314] lr: 1.9474e-01 eta: 6:19:26 time: 0.3414 data_time: 0.0432 memory: 9706 grad_norm: 1.0386 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5690 loss: 0.5690 2022/08/05 13:23:06 - mmengine - INFO - Epoch(train) [25][300/314] lr: 1.9471e-01 eta: 6:19:20 time: 0.3431 data_time: 0.0422 memory: 9706 grad_norm: 1.0353 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.6785 loss: 0.6785 2022/08/05 13:23:10 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:23:10 - mmengine - INFO - Epoch(train) [25][314/314] lr: 1.9469e-01 eta: 6:19:20 time: 0.2934 data_time: 0.0393 memory: 9706 grad_norm: 1.0208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6071 loss: 0.6071 2022/08/05 13:23:10 - mmengine - INFO - Saving checkpoint at 25 epochs 2022/08/05 13:23:22 - mmengine - INFO - Epoch(train) [26][20/314] lr: 1.9467e-01 eta: 6:18:55 time: 0.4910 data_time: 0.2111 memory: 9706 grad_norm: 1.0372 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6439 loss: 0.6439 2022/08/05 13:23:29 - mmengine - INFO - Epoch(train) [26][40/314] lr: 1.9464e-01 eta: 6:18:47 time: 0.3320 data_time: 0.0398 memory: 9706 grad_norm: 0.9960 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6460 loss: 0.6460 2022/08/05 13:23:36 - mmengine - INFO - Epoch(train) [26][60/314] lr: 1.9461e-01 eta: 6:18:43 time: 0.3497 data_time: 0.0406 memory: 9706 grad_norm: 0.9488 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5390 loss: 0.5390 2022/08/05 13:23:43 - mmengine - INFO - Epoch(train) [26][80/314] lr: 1.9459e-01 eta: 6:18:37 time: 0.3438 data_time: 0.0510 memory: 9706 grad_norm: 1.0231 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5484 loss: 0.5484 2022/08/05 13:23:50 - mmengine - INFO - Epoch(train) [26][100/314] lr: 1.9456e-01 eta: 6:18:32 time: 0.3485 data_time: 0.0479 memory: 9706 grad_norm: 1.1412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6902 loss: 0.6902 2022/08/05 13:23:56 - mmengine - INFO - Epoch(train) [26][120/314] lr: 1.9453e-01 eta: 6:18:26 time: 0.3378 data_time: 0.0481 memory: 9706 grad_norm: 1.0948 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.6830 loss: 0.6830 2022/08/05 13:24:03 - mmengine - INFO - Epoch(train) [26][140/314] lr: 1.9451e-01 eta: 6:18:20 time: 0.3464 data_time: 0.0400 memory: 9706 grad_norm: 1.0504 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7524 loss: 0.7524 2022/08/05 13:24:07 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:24:10 - mmengine - INFO - Epoch(train) [26][160/314] lr: 1.9448e-01 eta: 6:18:14 time: 0.3380 data_time: 0.0457 memory: 9706 grad_norm: 1.0369 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6183 loss: 0.6183 2022/08/05 13:24:17 - mmengine - INFO - Epoch(train) [26][180/314] lr: 1.9445e-01 eta: 6:18:08 time: 0.3439 data_time: 0.0423 memory: 9706 grad_norm: 1.0326 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6379 loss: 0.6379 2022/08/05 13:24:24 - mmengine - INFO - Epoch(train) [26][200/314] lr: 1.9442e-01 eta: 6:18:03 time: 0.3427 data_time: 0.0413 memory: 9706 grad_norm: 1.0164 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5979 loss: 0.5979 2022/08/05 13:24:31 - mmengine - INFO - Epoch(train) [26][220/314] lr: 1.9440e-01 eta: 6:17:56 time: 0.3410 data_time: 0.0417 memory: 9706 grad_norm: 0.9691 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5858 loss: 0.5858 2022/08/05 13:24:37 - mmengine - INFO - Epoch(train) [26][240/314] lr: 1.9437e-01 eta: 6:17:51 time: 0.3451 data_time: 0.0396 memory: 9706 grad_norm: 1.0396 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6185 loss: 0.6185 2022/08/05 13:24:44 - mmengine - INFO - Epoch(train) [26][260/314] lr: 1.9434e-01 eta: 6:17:44 time: 0.3354 data_time: 0.0431 memory: 9706 grad_norm: 0.9927 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6555 loss: 0.6555 2022/08/05 13:24:51 - mmengine - INFO - Epoch(train) [26][280/314] lr: 1.9431e-01 eta: 6:17:39 time: 0.3484 data_time: 0.0475 memory: 9706 grad_norm: 1.0316 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6135 loss: 0.6135 2022/08/05 13:24:58 - mmengine - INFO - Epoch(train) [26][300/314] lr: 1.9429e-01 eta: 6:17:33 time: 0.3400 data_time: 0.0421 memory: 9706 grad_norm: 1.0400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6367 loss: 0.6367 2022/08/05 13:25:02 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:25:02 - mmengine - INFO - Epoch(train) [26][314/314] lr: 1.9427e-01 eta: 6:17:33 time: 0.2858 data_time: 0.0377 memory: 9706 grad_norm: 1.1555 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6468 loss: 0.6468 2022/08/05 13:25:02 - mmengine - INFO - Saving checkpoint at 26 epochs 2022/08/05 13:25:14 - mmengine - INFO - Epoch(train) [27][20/314] lr: 1.9424e-01 eta: 6:17:04 time: 0.4691 data_time: 0.1933 memory: 9706 grad_norm: 1.0479 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5395 loss: 0.5395 2022/08/05 13:25:21 - mmengine - INFO - Epoch(train) [27][40/314] lr: 1.9421e-01 eta: 6:16:59 time: 0.3423 data_time: 0.0489 memory: 9706 grad_norm: 1.0117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5086 loss: 0.5086 2022/08/05 13:25:27 - mmengine - INFO - Epoch(train) [27][60/314] lr: 1.9418e-01 eta: 6:16:53 time: 0.3455 data_time: 0.0423 memory: 9706 grad_norm: 1.0379 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5540 loss: 0.5540 2022/08/05 13:25:34 - mmengine - INFO - Epoch(train) [27][80/314] lr: 1.9415e-01 eta: 6:16:46 time: 0.3359 data_time: 0.0472 memory: 9706 grad_norm: 0.9380 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6156 loss: 0.6156 2022/08/05 13:25:41 - mmengine - INFO - Epoch(train) [27][100/314] lr: 1.9413e-01 eta: 6:16:41 time: 0.3443 data_time: 0.0450 memory: 9706 grad_norm: 1.0220 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6548 loss: 0.6548 2022/08/05 13:25:48 - mmengine - INFO - Epoch(train) [27][120/314] lr: 1.9410e-01 eta: 6:16:34 time: 0.3384 data_time: 0.0462 memory: 9706 grad_norm: 1.0208 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5989 loss: 0.5989 2022/08/05 13:25:55 - mmengine - INFO - Epoch(train) [27][140/314] lr: 1.9407e-01 eta: 6:16:30 time: 0.3490 data_time: 0.0378 memory: 9706 grad_norm: 0.9945 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6266 loss: 0.6266 2022/08/05 13:26:02 - mmengine - INFO - Epoch(train) [27][160/314] lr: 1.9404e-01 eta: 6:16:24 time: 0.3411 data_time: 0.0443 memory: 9706 grad_norm: 1.0853 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6857 loss: 0.6857 2022/08/05 13:26:09 - mmengine - INFO - Epoch(train) [27][180/314] lr: 1.9401e-01 eta: 6:16:18 time: 0.3473 data_time: 0.0509 memory: 9706 grad_norm: 0.9638 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6005 loss: 0.6005 2022/08/05 13:26:15 - mmengine - INFO - Epoch(train) [27][200/314] lr: 1.9398e-01 eta: 6:16:12 time: 0.3379 data_time: 0.0462 memory: 9706 grad_norm: 1.0565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5374 loss: 0.5374 2022/08/05 13:26:23 - mmengine - INFO - Epoch(train) [27][220/314] lr: 1.9396e-01 eta: 6:16:08 time: 0.3565 data_time: 0.0427 memory: 9706 grad_norm: 1.0532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5666 loss: 0.5666 2022/08/05 13:26:29 - mmengine - INFO - Epoch(train) [27][240/314] lr: 1.9393e-01 eta: 6:16:02 time: 0.3410 data_time: 0.0428 memory: 9706 grad_norm: 0.9780 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5960 loss: 0.5960 2022/08/05 13:26:36 - mmengine - INFO - Epoch(train) [27][260/314] lr: 1.9390e-01 eta: 6:15:57 time: 0.3469 data_time: 0.0430 memory: 9706 grad_norm: 1.0066 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6026 loss: 0.6026 2022/08/05 13:26:43 - mmengine - INFO - Epoch(train) [27][280/314] lr: 1.9387e-01 eta: 6:15:51 time: 0.3413 data_time: 0.0426 memory: 9706 grad_norm: 1.0665 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5857 loss: 0.5857 2022/08/05 13:26:50 - mmengine - INFO - Epoch(train) [27][300/314] lr: 1.9384e-01 eta: 6:15:43 time: 0.3316 data_time: 0.0404 memory: 9706 grad_norm: 1.0707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5534 loss: 0.5534 2022/08/05 13:26:54 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:26:54 - mmengine - INFO - Epoch(train) [27][314/314] lr: 1.9382e-01 eta: 6:15:43 time: 0.2934 data_time: 0.0390 memory: 9706 grad_norm: 1.0278 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5123 loss: 0.5123 2022/08/05 13:26:54 - mmengine - INFO - Saving checkpoint at 27 epochs 2022/08/05 13:27:06 - mmengine - INFO - Epoch(train) [28][20/314] lr: 1.9379e-01 eta: 6:15:12 time: 0.4477 data_time: 0.1772 memory: 9706 grad_norm: 1.0338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6696 loss: 0.6696 2022/08/05 13:27:12 - mmengine - INFO - Epoch(train) [28][40/314] lr: 1.9376e-01 eta: 6:15:06 time: 0.3430 data_time: 0.0432 memory: 9706 grad_norm: 0.9926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6445 loss: 0.6445 2022/08/05 13:27:19 - mmengine - INFO - Epoch(train) [28][60/314] lr: 1.9373e-01 eta: 6:15:02 time: 0.3487 data_time: 0.0509 memory: 9706 grad_norm: 1.0126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6021 loss: 0.6021 2022/08/05 13:27:26 - mmengine - INFO - Epoch(train) [28][80/314] lr: 1.9370e-01 eta: 6:14:56 time: 0.3412 data_time: 0.0436 memory: 9706 grad_norm: 1.0542 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6562 loss: 0.6562 2022/08/05 13:27:33 - mmengine - INFO - Epoch(train) [28][100/314] lr: 1.9368e-01 eta: 6:14:51 time: 0.3506 data_time: 0.0379 memory: 9706 grad_norm: 0.9940 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5649 loss: 0.5649 2022/08/05 13:27:40 - mmengine - INFO - Epoch(train) [28][120/314] lr: 1.9365e-01 eta: 6:14:46 time: 0.3488 data_time: 0.0453 memory: 9706 grad_norm: 1.0274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6204 loss: 0.6204 2022/08/05 13:27:47 - mmengine - INFO - Epoch(train) [28][140/314] lr: 1.9362e-01 eta: 6:14:41 time: 0.3444 data_time: 0.0409 memory: 9706 grad_norm: 1.0853 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5963 loss: 0.5963 2022/08/05 13:27:54 - mmengine - INFO - Epoch(train) [28][160/314] lr: 1.9359e-01 eta: 6:14:36 time: 0.3505 data_time: 0.0583 memory: 9706 grad_norm: 1.0289 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6586 loss: 0.6586 2022/08/05 13:28:01 - mmengine - INFO - Epoch(train) [28][180/314] lr: 1.9356e-01 eta: 6:14:30 time: 0.3434 data_time: 0.0518 memory: 9706 grad_norm: 0.9730 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5744 loss: 0.5744 2022/08/05 13:28:08 - mmengine - INFO - Epoch(train) [28][200/314] lr: 1.9353e-01 eta: 6:14:25 time: 0.3453 data_time: 0.0496 memory: 9706 grad_norm: 1.0379 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6406 loss: 0.6406 2022/08/05 13:28:15 - mmengine - INFO - Epoch(train) [28][220/314] lr: 1.9350e-01 eta: 6:14:20 time: 0.3483 data_time: 0.0387 memory: 9706 grad_norm: 1.0889 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6026 loss: 0.6026 2022/08/05 13:28:22 - mmengine - INFO - Epoch(train) [28][240/314] lr: 1.9347e-01 eta: 6:14:15 time: 0.3516 data_time: 0.0578 memory: 9706 grad_norm: 1.0347 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5933 loss: 0.5933 2022/08/05 13:28:29 - mmengine - INFO - Epoch(train) [28][260/314] lr: 1.9344e-01 eta: 6:14:10 time: 0.3451 data_time: 0.0530 memory: 9706 grad_norm: 1.0504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7041 loss: 0.7041 2022/08/05 13:28:36 - mmengine - INFO - Epoch(train) [28][280/314] lr: 1.9341e-01 eta: 6:14:03 time: 0.3382 data_time: 0.0417 memory: 9706 grad_norm: 1.0564 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5128 loss: 0.5128 2022/08/05 13:28:43 - mmengine - INFO - Epoch(train) [28][300/314] lr: 1.9338e-01 eta: 6:13:58 time: 0.3499 data_time: 0.0427 memory: 9706 grad_norm: 1.0433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5850 loss: 0.5850 2022/08/05 13:28:47 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:28:47 - mmengine - INFO - Epoch(train) [28][314/314] lr: 1.9336e-01 eta: 6:13:58 time: 0.3012 data_time: 0.0483 memory: 9706 grad_norm: 1.1290 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5936 loss: 0.5936 2022/08/05 13:28:47 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/05 13:28:58 - mmengine - INFO - Epoch(train) [29][20/314] lr: 1.9333e-01 eta: 6:13:30 time: 0.4615 data_time: 0.1844 memory: 9706 grad_norm: 1.0832 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6582 loss: 0.6582 2022/08/05 13:29:05 - mmengine - INFO - Epoch(train) [29][40/314] lr: 1.9330e-01 eta: 6:13:24 time: 0.3427 data_time: 0.0385 memory: 9706 grad_norm: 1.0777 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5916 loss: 0.5916 2022/08/05 13:29:12 - mmengine - INFO - Epoch(train) [29][60/314] lr: 1.9327e-01 eta: 6:13:19 time: 0.3445 data_time: 0.0428 memory: 9706 grad_norm: 1.0056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7035 loss: 0.7035 2022/08/05 13:29:19 - mmengine - INFO - Epoch(train) [29][80/314] lr: 1.9324e-01 eta: 6:13:12 time: 0.3399 data_time: 0.0428 memory: 9706 grad_norm: 0.9658 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4677 loss: 0.4677 2022/08/05 13:29:26 - mmengine - INFO - Epoch(train) [29][100/314] lr: 1.9321e-01 eta: 6:13:07 time: 0.3468 data_time: 0.0429 memory: 9706 grad_norm: 0.9317 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5577 loss: 0.5577 2022/08/05 13:29:33 - mmengine - INFO - Epoch(train) [29][120/314] lr: 1.9318e-01 eta: 6:13:01 time: 0.3402 data_time: 0.0444 memory: 9706 grad_norm: 1.0210 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5450 loss: 0.5450 2022/08/05 13:29:40 - mmengine - INFO - Epoch(train) [29][140/314] lr: 1.9315e-01 eta: 6:12:58 time: 0.3614 data_time: 0.0444 memory: 9706 grad_norm: 0.9458 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5605 loss: 0.5605 2022/08/05 13:29:47 - mmengine - INFO - Epoch(train) [29][160/314] lr: 1.9312e-01 eta: 6:12:52 time: 0.3399 data_time: 0.0463 memory: 9706 grad_norm: 1.0691 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5383 loss: 0.5383 2022/08/05 13:29:54 - mmengine - INFO - Epoch(train) [29][180/314] lr: 1.9309e-01 eta: 6:12:46 time: 0.3463 data_time: 0.0416 memory: 9706 grad_norm: 1.0460 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5550 loss: 0.5550 2022/08/05 13:30:01 - mmengine - INFO - Epoch(train) [29][200/314] lr: 1.9306e-01 eta: 6:12:40 time: 0.3423 data_time: 0.0471 memory: 9706 grad_norm: 1.0019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6841 loss: 0.6841 2022/08/05 13:30:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:30:07 - mmengine - INFO - Epoch(train) [29][220/314] lr: 1.9303e-01 eta: 6:12:34 time: 0.3404 data_time: 0.0475 memory: 9706 grad_norm: 1.0375 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5843 loss: 0.5843 2022/08/05 13:30:14 - mmengine - INFO - Epoch(train) [29][240/314] lr: 1.9300e-01 eta: 6:12:28 time: 0.3384 data_time: 0.0414 memory: 9706 grad_norm: 1.0227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5076 loss: 0.5076 2022/08/05 13:30:21 - mmengine - INFO - Epoch(train) [29][260/314] lr: 1.9297e-01 eta: 6:12:23 time: 0.3501 data_time: 0.0462 memory: 9706 grad_norm: 1.0473 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5766 loss: 0.5766 2022/08/05 13:30:28 - mmengine - INFO - Epoch(train) [29][280/314] lr: 1.9293e-01 eta: 6:12:16 time: 0.3384 data_time: 0.0468 memory: 9706 grad_norm: 1.0472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6178 loss: 0.6178 2022/08/05 13:30:35 - mmengine - INFO - Epoch(train) [29][300/314] lr: 1.9290e-01 eta: 6:12:09 time: 0.3366 data_time: 0.0408 memory: 9706 grad_norm: 1.0481 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6904 loss: 0.6904 2022/08/05 13:30:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:30:38 - mmengine - INFO - Epoch(train) [29][314/314] lr: 1.9288e-01 eta: 6:12:09 time: 0.2857 data_time: 0.0363 memory: 9706 grad_norm: 1.0678 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4528 loss: 0.4528 2022/08/05 13:30:38 - mmengine - INFO - Saving checkpoint at 29 epochs 2022/08/05 13:30:50 - mmengine - INFO - Epoch(train) [30][20/314] lr: 1.9285e-01 eta: 6:11:43 time: 0.4717 data_time: 0.1906 memory: 9706 grad_norm: 1.0058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5053 loss: 0.5053 2022/08/05 13:30:57 - mmengine - INFO - Epoch(train) [30][40/314] lr: 1.9282e-01 eta: 6:11:36 time: 0.3303 data_time: 0.0419 memory: 9706 grad_norm: 1.0499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6321 loss: 0.6321 2022/08/05 13:31:04 - mmengine - INFO - Epoch(train) [30][60/314] lr: 1.9279e-01 eta: 6:11:30 time: 0.3465 data_time: 0.0400 memory: 9706 grad_norm: 1.0429 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5569 loss: 0.5569 2022/08/05 13:31:11 - mmengine - INFO - Epoch(train) [30][80/314] lr: 1.9276e-01 eta: 6:11:26 time: 0.3517 data_time: 0.0524 memory: 9706 grad_norm: 1.0421 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6445 loss: 0.6445 2022/08/05 13:31:18 - mmengine - INFO - Epoch(train) [30][100/314] lr: 1.9273e-01 eta: 6:11:19 time: 0.3356 data_time: 0.0402 memory: 9706 grad_norm: 0.9783 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5307 loss: 0.5307 2022/08/05 13:31:25 - mmengine - INFO - Epoch(train) [30][120/314] lr: 1.9270e-01 eta: 6:11:13 time: 0.3454 data_time: 0.0463 memory: 9706 grad_norm: 1.0453 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7679 loss: 0.7679 2022/08/05 13:31:31 - mmengine - INFO - Epoch(train) [30][140/314] lr: 1.9266e-01 eta: 6:11:07 time: 0.3417 data_time: 0.0422 memory: 9706 grad_norm: 1.0280 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6426 loss: 0.6426 2022/08/05 13:31:38 - mmengine - INFO - Epoch(train) [30][160/314] lr: 1.9263e-01 eta: 6:11:02 time: 0.3481 data_time: 0.0421 memory: 9706 grad_norm: 0.9691 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5437 loss: 0.5437 2022/08/05 13:31:45 - mmengine - INFO - Epoch(train) [30][180/314] lr: 1.9260e-01 eta: 6:10:56 time: 0.3400 data_time: 0.0407 memory: 9706 grad_norm: 1.0060 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5348 loss: 0.5348 2022/08/05 13:31:52 - mmengine - INFO - Epoch(train) [30][200/314] lr: 1.9257e-01 eta: 6:10:49 time: 0.3355 data_time: 0.0435 memory: 9706 grad_norm: 0.9684 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6430 loss: 0.6430 2022/08/05 13:31:59 - mmengine - INFO - Epoch(train) [30][220/314] lr: 1.9254e-01 eta: 6:10:44 time: 0.3478 data_time: 0.0473 memory: 9706 grad_norm: 1.0516 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5511 loss: 0.5511 2022/08/05 13:32:06 - mmengine - INFO - Epoch(train) [30][240/314] lr: 1.9251e-01 eta: 6:10:38 time: 0.3453 data_time: 0.0538 memory: 9706 grad_norm: 0.9924 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5464 loss: 0.5464 2022/08/05 13:32:13 - mmengine - INFO - Epoch(train) [30][260/314] lr: 1.9248e-01 eta: 6:10:32 time: 0.3372 data_time: 0.0419 memory: 9706 grad_norm: 1.0210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5572 loss: 0.5572 2022/08/05 13:32:20 - mmengine - INFO - Epoch(train) [30][280/314] lr: 1.9244e-01 eta: 6:10:27 time: 0.3495 data_time: 0.0453 memory: 9706 grad_norm: 1.0307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6718 loss: 0.6718 2022/08/05 13:32:26 - mmengine - INFO - Epoch(train) [30][300/314] lr: 1.9241e-01 eta: 6:10:20 time: 0.3410 data_time: 0.0403 memory: 9706 grad_norm: 1.0760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5582 loss: 0.5582 2022/08/05 13:32:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:32:30 - mmengine - INFO - Epoch(train) [30][314/314] lr: 1.9239e-01 eta: 6:10:20 time: 0.2914 data_time: 0.0370 memory: 9706 grad_norm: 1.1393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6582 loss: 0.6582 2022/08/05 13:32:30 - mmengine - INFO - Saving checkpoint at 30 epochs 2022/08/05 13:32:42 - mmengine - INFO - Epoch(val) [30][20/129] eta: 0:00:52 time: 0.4838 data_time: 0.2994 memory: 1867 2022/08/05 13:32:49 - mmengine - INFO - Epoch(val) [30][40/129] eta: 0:00:28 time: 0.3162 data_time: 0.1446 memory: 1867 2022/08/05 13:32:56 - mmengine - INFO - Epoch(val) [30][60/129] eta: 0:00:23 time: 0.3421 data_time: 0.1629 memory: 1867 2022/08/05 13:33:02 - mmengine - INFO - Epoch(val) [30][80/129] eta: 0:00:16 time: 0.3267 data_time: 0.1453 memory: 1867 2022/08/05 13:33:09 - mmengine - INFO - Epoch(val) [30][100/129] eta: 0:00:09 time: 0.3396 data_time: 0.1573 memory: 1867 2022/08/05 13:33:14 - mmengine - INFO - Epoch(val) [30][120/129] eta: 0:00:02 time: 0.2813 data_time: 0.1231 memory: 1867 2022/08/05 13:33:16 - mmengine - INFO - Epoch(val) [30][129/129] acc/top1: 0.7127 acc/top5: 0.9683 acc/mean1: 0.7127 2022/08/05 13:33:27 - mmengine - INFO - Epoch(train) [31][20/314] lr: 1.9236e-01 eta: 6:10:04 time: 0.5384 data_time: 0.1946 memory: 9706 grad_norm: 1.1263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6195 loss: 0.6195 2022/08/05 13:33:34 - mmengine - INFO - Epoch(train) [31][40/314] lr: 1.9233e-01 eta: 6:09:59 time: 0.3498 data_time: 0.0577 memory: 9706 grad_norm: 1.0607 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6772 loss: 0.6772 2022/08/05 13:33:41 - mmengine - INFO - Epoch(train) [31][60/314] lr: 1.9229e-01 eta: 6:09:53 time: 0.3400 data_time: 0.0445 memory: 9706 grad_norm: 1.0400 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6838 loss: 0.6838 2022/08/05 13:33:48 - mmengine - INFO - Epoch(train) [31][80/314] lr: 1.9226e-01 eta: 6:09:48 time: 0.3514 data_time: 0.0514 memory: 9706 grad_norm: 1.0623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6478 loss: 0.6478 2022/08/05 13:33:55 - mmengine - INFO - Epoch(train) [31][100/314] lr: 1.9223e-01 eta: 6:09:42 time: 0.3373 data_time: 0.0455 memory: 9706 grad_norm: 1.0621 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6298 loss: 0.6298 2022/08/05 13:34:02 - mmengine - INFO - Epoch(train) [31][120/314] lr: 1.9220e-01 eta: 6:09:36 time: 0.3473 data_time: 0.0450 memory: 9706 grad_norm: 1.0623 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6943 loss: 0.6943 2022/08/05 13:34:09 - mmengine - INFO - Epoch(train) [31][140/314] lr: 1.9216e-01 eta: 6:09:31 time: 0.3446 data_time: 0.0411 memory: 9706 grad_norm: 1.0185 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6192 loss: 0.6192 2022/08/05 13:34:15 - mmengine - INFO - Epoch(train) [31][160/314] lr: 1.9213e-01 eta: 6:09:24 time: 0.3400 data_time: 0.0416 memory: 9706 grad_norm: 1.0213 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5881 loss: 0.5881 2022/08/05 13:34:22 - mmengine - INFO - Epoch(train) [31][180/314] lr: 1.9210e-01 eta: 6:09:19 time: 0.3451 data_time: 0.0393 memory: 9706 grad_norm: 0.9966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6164 loss: 0.6164 2022/08/05 13:34:29 - mmengine - INFO - Epoch(train) [31][200/314] lr: 1.9207e-01 eta: 6:09:13 time: 0.3432 data_time: 0.0428 memory: 9706 grad_norm: 0.9727 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5595 loss: 0.5595 2022/08/05 13:34:36 - mmengine - INFO - Epoch(train) [31][220/314] lr: 1.9203e-01 eta: 6:09:07 time: 0.3442 data_time: 0.0446 memory: 9706 grad_norm: 1.0101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4810 loss: 0.4810 2022/08/05 13:34:43 - mmengine - INFO - Epoch(train) [31][240/314] lr: 1.9200e-01 eta: 6:09:01 time: 0.3446 data_time: 0.0464 memory: 9706 grad_norm: 1.0488 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5725 loss: 0.5725 2022/08/05 13:34:50 - mmengine - INFO - Epoch(train) [31][260/314] lr: 1.9197e-01 eta: 6:08:55 time: 0.3421 data_time: 0.0403 memory: 9706 grad_norm: 0.9590 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5219 loss: 0.5219 2022/08/05 13:34:57 - mmengine - INFO - Epoch(train) [31][280/314] lr: 1.9194e-01 eta: 6:08:50 time: 0.3496 data_time: 0.0427 memory: 9706 grad_norm: 1.0401 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5500 loss: 0.5500 2022/08/05 13:35:04 - mmengine - INFO - Epoch(train) [31][300/314] lr: 1.9190e-01 eta: 6:08:44 time: 0.3375 data_time: 0.0495 memory: 9706 grad_norm: 1.0193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5543 loss: 0.5543 2022/08/05 13:35:07 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:35:07 - mmengine - INFO - Epoch(train) [31][314/314] lr: 1.9188e-01 eta: 6:08:44 time: 0.2907 data_time: 0.0372 memory: 9706 grad_norm: 1.1406 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.6209 loss: 0.6209 2022/08/05 13:35:07 - mmengine - INFO - Saving checkpoint at 31 epochs 2022/08/05 13:35:19 - mmengine - INFO - Epoch(train) [32][20/314] lr: 1.9185e-01 eta: 6:08:18 time: 0.4697 data_time: 0.1890 memory: 9706 grad_norm: 1.1783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5987 loss: 0.5987 2022/08/05 13:35:26 - mmengine - INFO - Epoch(train) [32][40/314] lr: 1.9181e-01 eta: 6:08:11 time: 0.3370 data_time: 0.0426 memory: 9706 grad_norm: 1.0443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6484 loss: 0.6484 2022/08/05 13:35:33 - mmengine - INFO - Epoch(train) [32][60/314] lr: 1.9178e-01 eta: 6:08:05 time: 0.3377 data_time: 0.0430 memory: 9706 grad_norm: 0.9910 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6065 loss: 0.6065 2022/08/05 13:35:40 - mmengine - INFO - Epoch(train) [32][80/314] lr: 1.9175e-01 eta: 6:07:59 time: 0.3440 data_time: 0.0436 memory: 9706 grad_norm: 1.0549 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5960 loss: 0.5960 2022/08/05 13:35:46 - mmengine - INFO - Epoch(train) [32][100/314] lr: 1.9172e-01 eta: 6:07:52 time: 0.3384 data_time: 0.0428 memory: 9706 grad_norm: 1.0471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6293 loss: 0.6293 2022/08/05 13:35:53 - mmengine - INFO - Epoch(train) [32][120/314] lr: 1.9168e-01 eta: 6:07:47 time: 0.3462 data_time: 0.0436 memory: 9706 grad_norm: 0.9937 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4656 loss: 0.4656 2022/08/05 13:36:00 - mmengine - INFO - Epoch(train) [32][140/314] lr: 1.9165e-01 eta: 6:07:42 time: 0.3465 data_time: 0.0396 memory: 9706 grad_norm: 0.9758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5831 loss: 0.5831 2022/08/05 13:36:07 - mmengine - INFO - Epoch(train) [32][160/314] lr: 1.9162e-01 eta: 6:07:35 time: 0.3393 data_time: 0.0404 memory: 9706 grad_norm: 1.0374 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5904 loss: 0.5904 2022/08/05 13:36:14 - mmengine - INFO - Epoch(train) [32][180/314] lr: 1.9158e-01 eta: 6:07:30 time: 0.3490 data_time: 0.0408 memory: 9706 grad_norm: 1.0248 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5896 loss: 0.5896 2022/08/05 13:36:21 - mmengine - INFO - Epoch(train) [32][200/314] lr: 1.9155e-01 eta: 6:07:23 time: 0.3338 data_time: 0.0444 memory: 9706 grad_norm: 1.0291 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5379 loss: 0.5379 2022/08/05 13:36:28 - mmengine - INFO - Epoch(train) [32][220/314] lr: 1.9151e-01 eta: 6:07:18 time: 0.3492 data_time: 0.0387 memory: 9706 grad_norm: 1.0006 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6033 loss: 0.6033 2022/08/05 13:36:35 - mmengine - INFO - Epoch(train) [32][240/314] lr: 1.9148e-01 eta: 6:07:12 time: 0.3467 data_time: 0.0386 memory: 9706 grad_norm: 0.9507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5888 loss: 0.5888 2022/08/05 13:36:42 - mmengine - INFO - Epoch(train) [32][260/314] lr: 1.9145e-01 eta: 6:07:06 time: 0.3444 data_time: 0.0437 memory: 9706 grad_norm: 0.9975 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6011 loss: 0.6011 2022/08/05 13:36:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:36:48 - mmengine - INFO - Epoch(train) [32][280/314] lr: 1.9141e-01 eta: 6:07:01 time: 0.3465 data_time: 0.0452 memory: 9706 grad_norm: 1.0220 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5985 loss: 0.5985 2022/08/05 13:36:55 - mmengine - INFO - Epoch(train) [32][300/314] lr: 1.9138e-01 eta: 6:06:55 time: 0.3421 data_time: 0.0381 memory: 9706 grad_norm: 1.0722 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6562 loss: 0.6562 2022/08/05 13:36:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:36:59 - mmengine - INFO - Epoch(train) [32][314/314] lr: 1.9136e-01 eta: 6:06:55 time: 0.2915 data_time: 0.0368 memory: 9706 grad_norm: 1.1109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6173 loss: 0.6173 2022/08/05 13:36:59 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/05 13:37:11 - mmengine - INFO - Epoch(train) [33][20/314] lr: 1.9132e-01 eta: 6:06:29 time: 0.4645 data_time: 0.1925 memory: 9706 grad_norm: 1.0701 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5829 loss: 0.5829 2022/08/05 13:37:18 - mmengine - INFO - Epoch(train) [33][40/314] lr: 1.9129e-01 eta: 6:06:23 time: 0.3404 data_time: 0.0453 memory: 9706 grad_norm: 1.0468 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5059 loss: 0.5059 2022/08/05 13:37:25 - mmengine - INFO - Epoch(train) [33][60/314] lr: 1.9125e-01 eta: 6:06:17 time: 0.3449 data_time: 0.0527 memory: 9706 grad_norm: 1.0014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5118 loss: 0.5118 2022/08/05 13:37:32 - mmengine - INFO - Epoch(train) [33][80/314] lr: 1.9122e-01 eta: 6:06:11 time: 0.3384 data_time: 0.0474 memory: 9706 grad_norm: 1.0721 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6030 loss: 0.6030 2022/08/05 13:37:38 - mmengine - INFO - Epoch(train) [33][100/314] lr: 1.9119e-01 eta: 6:06:05 time: 0.3433 data_time: 0.0447 memory: 9706 grad_norm: 1.0556 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6544 loss: 0.6544 2022/08/05 13:37:45 - mmengine - INFO - Epoch(train) [33][120/314] lr: 1.9115e-01 eta: 6:05:59 time: 0.3431 data_time: 0.0495 memory: 9706 grad_norm: 1.0662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6308 loss: 0.6308 2022/08/05 13:37:52 - mmengine - INFO - Epoch(train) [33][140/314] lr: 1.9112e-01 eta: 6:05:53 time: 0.3453 data_time: 0.0391 memory: 9706 grad_norm: 1.0162 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6063 loss: 0.6063 2022/08/05 13:37:59 - mmengine - INFO - Epoch(train) [33][160/314] lr: 1.9108e-01 eta: 6:05:48 time: 0.3450 data_time: 0.0464 memory: 9706 grad_norm: 1.0517 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6023 loss: 0.6023 2022/08/05 13:38:06 - mmengine - INFO - Epoch(train) [33][180/314] lr: 1.9105e-01 eta: 6:05:42 time: 0.3480 data_time: 0.0569 memory: 9706 grad_norm: 1.0459 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6016 loss: 0.6016 2022/08/05 13:38:13 - mmengine - INFO - Epoch(train) [33][200/314] lr: 1.9101e-01 eta: 6:05:37 time: 0.3482 data_time: 0.0397 memory: 9706 grad_norm: 1.0134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5067 loss: 0.5067 2022/08/05 13:38:20 - mmengine - INFO - Epoch(train) [33][220/314] lr: 1.9098e-01 eta: 6:05:31 time: 0.3418 data_time: 0.0427 memory: 9706 grad_norm: 1.0310 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6116 loss: 0.6116 2022/08/05 13:38:27 - mmengine - INFO - Epoch(train) [33][240/314] lr: 1.9094e-01 eta: 6:05:25 time: 0.3407 data_time: 0.0455 memory: 9706 grad_norm: 0.9355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4976 loss: 0.4976 2022/08/05 13:38:34 - mmengine - INFO - Epoch(train) [33][260/314] lr: 1.9091e-01 eta: 6:05:19 time: 0.3457 data_time: 0.0411 memory: 9706 grad_norm: 0.9675 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5589 loss: 0.5589 2022/08/05 13:38:41 - mmengine - INFO - Epoch(train) [33][280/314] lr: 1.9088e-01 eta: 6:05:14 time: 0.3471 data_time: 0.0422 memory: 9706 grad_norm: 1.0190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6123 loss: 0.6123 2022/08/05 13:38:47 - mmengine - INFO - Epoch(train) [33][300/314] lr: 1.9084e-01 eta: 6:05:07 time: 0.3401 data_time: 0.0426 memory: 9706 grad_norm: 1.0182 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5110 loss: 0.5110 2022/08/05 13:38:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:38:51 - mmengine - INFO - Epoch(train) [33][314/314] lr: 1.9082e-01 eta: 6:05:07 time: 0.2953 data_time: 0.0348 memory: 9706 grad_norm: 1.0483 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.6809 loss: 0.6809 2022/08/05 13:38:51 - mmengine - INFO - Saving checkpoint at 33 epochs 2022/08/05 13:39:03 - mmengine - INFO - Epoch(train) [34][20/314] lr: 1.9078e-01 eta: 6:04:41 time: 0.4574 data_time: 0.1890 memory: 9706 grad_norm: 1.0051 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5762 loss: 0.5762 2022/08/05 13:39:10 - mmengine - INFO - Epoch(train) [34][40/314] lr: 1.9075e-01 eta: 6:04:35 time: 0.3402 data_time: 0.0499 memory: 9706 grad_norm: 1.0508 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5506 loss: 0.5506 2022/08/05 13:39:17 - mmengine - INFO - Epoch(train) [34][60/314] lr: 1.9071e-01 eta: 6:04:29 time: 0.3427 data_time: 0.0422 memory: 9706 grad_norm: 0.9295 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5205 loss: 0.5205 2022/08/05 13:39:24 - mmengine - INFO - Epoch(train) [34][80/314] lr: 1.9068e-01 eta: 6:04:24 time: 0.3474 data_time: 0.0469 memory: 9706 grad_norm: 0.9803 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4988 loss: 0.4988 2022/08/05 13:39:31 - mmengine - INFO - Epoch(train) [34][100/314] lr: 1.9064e-01 eta: 6:04:18 time: 0.3452 data_time: 0.0416 memory: 9706 grad_norm: 1.0652 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6080 loss: 0.6080 2022/08/05 13:39:38 - mmengine - INFO - Epoch(train) [34][120/314] lr: 1.9061e-01 eta: 6:04:12 time: 0.3406 data_time: 0.0410 memory: 9706 grad_norm: 1.0255 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6321 loss: 0.6321 2022/08/05 13:39:44 - mmengine - INFO - Epoch(train) [34][140/314] lr: 1.9057e-01 eta: 6:04:06 time: 0.3415 data_time: 0.0425 memory: 9706 grad_norm: 1.0365 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5955 loss: 0.5955 2022/08/05 13:39:51 - mmengine - INFO - Epoch(train) [34][160/314] lr: 1.9053e-01 eta: 6:04:00 time: 0.3467 data_time: 0.0457 memory: 9706 grad_norm: 0.9720 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4994 loss: 0.4994 2022/08/05 13:39:58 - mmengine - INFO - Epoch(train) [34][180/314] lr: 1.9050e-01 eta: 6:03:54 time: 0.3461 data_time: 0.0464 memory: 9706 grad_norm: 1.1148 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.4710 loss: 0.4710 2022/08/05 13:40:05 - mmengine - INFO - Epoch(train) [34][200/314] lr: 1.9046e-01 eta: 6:03:50 time: 0.3542 data_time: 0.0391 memory: 9706 grad_norm: 1.0678 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6156 loss: 0.6156 2022/08/05 13:40:12 - mmengine - INFO - Epoch(train) [34][220/314] lr: 1.9043e-01 eta: 6:03:43 time: 0.3352 data_time: 0.0441 memory: 9706 grad_norm: 1.0681 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6261 loss: 0.6261 2022/08/05 13:40:19 - mmengine - INFO - Epoch(train) [34][240/314] lr: 1.9039e-01 eta: 6:03:37 time: 0.3408 data_time: 0.0403 memory: 9706 grad_norm: 1.0290 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5776 loss: 0.5776 2022/08/05 13:40:26 - mmengine - INFO - Epoch(train) [34][260/314] lr: 1.9036e-01 eta: 6:03:31 time: 0.3503 data_time: 0.0560 memory: 9706 grad_norm: 1.0367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4967 loss: 0.4967 2022/08/05 13:40:33 - mmengine - INFO - Epoch(train) [34][280/314] lr: 1.9032e-01 eta: 6:03:25 time: 0.3394 data_time: 0.0457 memory: 9706 grad_norm: 1.0671 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5612 loss: 0.5612 2022/08/05 13:40:39 - mmengine - INFO - Epoch(train) [34][300/314] lr: 1.9029e-01 eta: 6:03:19 time: 0.3397 data_time: 0.0428 memory: 9706 grad_norm: 0.9913 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5038 loss: 0.5038 2022/08/05 13:40:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:40:43 - mmengine - INFO - Epoch(train) [34][314/314] lr: 1.9026e-01 eta: 6:03:19 time: 0.2887 data_time: 0.0355 memory: 9706 grad_norm: 0.9966 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 0.5718 loss: 0.5718 2022/08/05 13:40:43 - mmengine - INFO - Saving checkpoint at 34 epochs 2022/08/05 13:40:56 - mmengine - INFO - Epoch(train) [35][20/314] lr: 1.9022e-01 eta: 6:02:54 time: 0.4620 data_time: 0.1845 memory: 9706 grad_norm: 1.0309 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5961 loss: 0.5961 2022/08/05 13:41:02 - mmengine - INFO - Epoch(train) [35][40/314] lr: 1.9019e-01 eta: 6:02:48 time: 0.3413 data_time: 0.0452 memory: 9706 grad_norm: 1.0341 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5755 loss: 0.5755 2022/08/05 13:41:09 - mmengine - INFO - Epoch(train) [35][60/314] lr: 1.9015e-01 eta: 6:02:41 time: 0.3418 data_time: 0.0408 memory: 9706 grad_norm: 1.0741 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6452 loss: 0.6452 2022/08/05 13:41:16 - mmengine - INFO - Epoch(train) [35][80/314] lr: 1.9012e-01 eta: 6:02:36 time: 0.3467 data_time: 0.0502 memory: 9706 grad_norm: 0.9974 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6319 loss: 0.6319 2022/08/05 13:41:23 - mmengine - INFO - Epoch(train) [35][100/314] lr: 1.9008e-01 eta: 6:02:29 time: 0.3316 data_time: 0.0430 memory: 9706 grad_norm: 1.0707 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5989 loss: 0.5989 2022/08/05 13:41:30 - mmengine - INFO - Epoch(train) [35][120/314] lr: 1.9004e-01 eta: 6:02:23 time: 0.3424 data_time: 0.0424 memory: 9706 grad_norm: 1.0252 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5889 loss: 0.5889 2022/08/05 13:41:36 - mmengine - INFO - Epoch(train) [35][140/314] lr: 1.9001e-01 eta: 6:02:16 time: 0.3421 data_time: 0.0388 memory: 9706 grad_norm: 1.0247 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5512 loss: 0.5512 2022/08/05 13:41:43 - mmengine - INFO - Epoch(train) [35][160/314] lr: 1.8997e-01 eta: 6:02:11 time: 0.3459 data_time: 0.0505 memory: 9706 grad_norm: 0.9659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5205 loss: 0.5205 2022/08/05 13:41:50 - mmengine - INFO - Epoch(train) [35][180/314] lr: 1.8993e-01 eta: 6:02:04 time: 0.3395 data_time: 0.0465 memory: 9706 grad_norm: 0.9987 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5116 loss: 0.5116 2022/08/05 13:41:57 - mmengine - INFO - Epoch(train) [35][200/314] lr: 1.8990e-01 eta: 6:01:59 time: 0.3469 data_time: 0.0453 memory: 9706 grad_norm: 0.9662 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5088 loss: 0.5088 2022/08/05 13:42:04 - mmengine - INFO - Epoch(train) [35][220/314] lr: 1.8986e-01 eta: 6:01:53 time: 0.3457 data_time: 0.0475 memory: 9706 grad_norm: 1.0300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5307 loss: 0.5307 2022/08/05 13:42:11 - mmengine - INFO - Epoch(train) [35][240/314] lr: 1.8983e-01 eta: 6:01:47 time: 0.3410 data_time: 0.0447 memory: 9706 grad_norm: 1.0680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5884 loss: 0.5884 2022/08/05 13:42:18 - mmengine - INFO - Epoch(train) [35][260/314] lr: 1.8979e-01 eta: 6:01:41 time: 0.3438 data_time: 0.0459 memory: 9706 grad_norm: 1.0074 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5453 loss: 0.5453 2022/08/05 13:42:25 - mmengine - INFO - Epoch(train) [35][280/314] lr: 1.8975e-01 eta: 6:01:35 time: 0.3452 data_time: 0.0402 memory: 9706 grad_norm: 1.0234 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6133 loss: 0.6133 2022/08/05 13:42:32 - mmengine - INFO - Epoch(train) [35][300/314] lr: 1.8971e-01 eta: 6:01:30 time: 0.3476 data_time: 0.0423 memory: 9706 grad_norm: 1.0335 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6034 loss: 0.6034 2022/08/05 13:42:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:42:35 - mmengine - INFO - Epoch(train) [35][314/314] lr: 1.8969e-01 eta: 6:01:30 time: 0.2945 data_time: 0.0376 memory: 9706 grad_norm: 1.1017 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6876 loss: 0.6876 2022/08/05 13:42:35 - mmengine - INFO - Saving checkpoint at 35 epochs 2022/08/05 13:42:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:42:47 - mmengine - INFO - Epoch(train) [36][20/314] lr: 1.8965e-01 eta: 6:01:05 time: 0.4630 data_time: 0.1816 memory: 9706 grad_norm: 1.0569 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5643 loss: 0.5643 2022/08/05 13:42:54 - mmengine - INFO - Epoch(train) [36][40/314] lr: 1.8962e-01 eta: 6:00:59 time: 0.3376 data_time: 0.0403 memory: 9706 grad_norm: 1.0183 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5649 loss: 0.5649 2022/08/05 13:43:01 - mmengine - INFO - Epoch(train) [36][60/314] lr: 1.8958e-01 eta: 6:00:53 time: 0.3413 data_time: 0.0477 memory: 9706 grad_norm: 1.0420 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6289 loss: 0.6289 2022/08/05 13:43:08 - mmengine - INFO - Epoch(train) [36][80/314] lr: 1.8954e-01 eta: 6:00:47 time: 0.3470 data_time: 0.0472 memory: 9706 grad_norm: 1.0248 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5961 loss: 0.5961 2022/08/05 13:43:15 - mmengine - INFO - Epoch(train) [36][100/314] lr: 1.8950e-01 eta: 6:00:42 time: 0.3489 data_time: 0.0419 memory: 9706 grad_norm: 0.9963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5704 loss: 0.5704 2022/08/05 13:43:21 - mmengine - INFO - Epoch(train) [36][120/314] lr: 1.8947e-01 eta: 6:00:35 time: 0.3395 data_time: 0.0430 memory: 9706 grad_norm: 1.0290 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4867 loss: 0.4867 2022/08/05 13:43:28 - mmengine - INFO - Epoch(train) [36][140/314] lr: 1.8943e-01 eta: 6:00:29 time: 0.3422 data_time: 0.0469 memory: 9706 grad_norm: 1.1004 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7464 loss: 0.7464 2022/08/05 13:43:35 - mmengine - INFO - Epoch(train) [36][160/314] lr: 1.8939e-01 eta: 6:00:24 time: 0.3513 data_time: 0.0429 memory: 9706 grad_norm: 1.0436 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6013 loss: 0.6013 2022/08/05 13:43:42 - mmengine - INFO - Epoch(train) [36][180/314] lr: 1.8935e-01 eta: 6:00:18 time: 0.3414 data_time: 0.0437 memory: 9706 grad_norm: 1.0667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5982 loss: 0.5982 2022/08/05 13:43:49 - mmengine - INFO - Epoch(train) [36][200/314] lr: 1.8932e-01 eta: 6:00:11 time: 0.3387 data_time: 0.0421 memory: 9706 grad_norm: 0.9230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5593 loss: 0.5593 2022/08/05 13:43:56 - mmengine - INFO - Epoch(train) [36][220/314] lr: 1.8928e-01 eta: 6:00:06 time: 0.3487 data_time: 0.0579 memory: 9706 grad_norm: 1.0370 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5895 loss: 0.5895 2022/08/05 13:44:03 - mmengine - INFO - Epoch(train) [36][240/314] lr: 1.8924e-01 eta: 6:00:00 time: 0.3408 data_time: 0.0485 memory: 9706 grad_norm: 0.9948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5630 loss: 0.5630 2022/08/05 13:44:10 - mmengine - INFO - Epoch(train) [36][260/314] lr: 1.8920e-01 eta: 5:59:54 time: 0.3443 data_time: 0.0382 memory: 9706 grad_norm: 1.0308 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6280 loss: 0.6280 2022/08/05 13:44:17 - mmengine - INFO - Epoch(train) [36][280/314] lr: 1.8917e-01 eta: 5:59:48 time: 0.3467 data_time: 0.0424 memory: 9706 grad_norm: 1.1296 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5871 loss: 0.5871 2022/08/05 13:44:23 - mmengine - INFO - Epoch(train) [36][300/314] lr: 1.8913e-01 eta: 5:59:42 time: 0.3441 data_time: 0.0464 memory: 9706 grad_norm: 1.1088 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6737 loss: 0.6737 2022/08/05 13:44:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:44:29 - mmengine - INFO - Epoch(train) [36][314/314] lr: 1.8910e-01 eta: 5:59:42 time: 0.3588 data_time: 0.1117 memory: 9706 grad_norm: 1.1419 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.7726 loss: 0.7726 2022/08/05 13:44:29 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/05 13:44:42 - mmengine - INFO - Epoch(train) [37][20/314] lr: 1.8906e-01 eta: 5:59:19 time: 0.4660 data_time: 0.1733 memory: 9706 grad_norm: 1.0682 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6154 loss: 0.6154 2022/08/05 13:44:48 - mmengine - INFO - Epoch(train) [37][40/314] lr: 1.8903e-01 eta: 5:59:12 time: 0.3346 data_time: 0.0424 memory: 9706 grad_norm: 1.0556 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5074 loss: 0.5074 2022/08/05 13:44:56 - mmengine - INFO - Epoch(train) [37][60/314] lr: 1.8899e-01 eta: 5:59:08 time: 0.3608 data_time: 0.0690 memory: 9706 grad_norm: 1.0700 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5767 loss: 0.5767 2022/08/05 13:45:02 - mmengine - INFO - Epoch(train) [37][80/314] lr: 1.8895e-01 eta: 5:59:02 time: 0.3446 data_time: 0.0477 memory: 9706 grad_norm: 1.0670 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6645 loss: 0.6645 2022/08/05 13:45:09 - mmengine - INFO - Epoch(train) [37][100/314] lr: 1.8891e-01 eta: 5:58:56 time: 0.3422 data_time: 0.0448 memory: 9706 grad_norm: 1.0152 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5191 loss: 0.5191 2022/08/05 13:45:16 - mmengine - INFO - Epoch(train) [37][120/314] lr: 1.8887e-01 eta: 5:58:50 time: 0.3417 data_time: 0.0436 memory: 9706 grad_norm: 0.9972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5394 loss: 0.5394 2022/08/05 13:45:23 - mmengine - INFO - Epoch(train) [37][140/314] lr: 1.8884e-01 eta: 5:58:44 time: 0.3486 data_time: 0.0445 memory: 9706 grad_norm: 1.0151 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6051 loss: 0.6051 2022/08/05 13:45:30 - mmengine - INFO - Epoch(train) [37][160/314] lr: 1.8880e-01 eta: 5:58:38 time: 0.3383 data_time: 0.0509 memory: 9706 grad_norm: 1.0036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5260 loss: 0.5260 2022/08/05 13:45:37 - mmengine - INFO - Epoch(train) [37][180/314] lr: 1.8876e-01 eta: 5:58:32 time: 0.3428 data_time: 0.0435 memory: 9706 grad_norm: 1.0588 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5615 loss: 0.5615 2022/08/05 13:45:43 - mmengine - INFO - Epoch(train) [37][200/314] lr: 1.8872e-01 eta: 5:58:25 time: 0.3395 data_time: 0.0419 memory: 9706 grad_norm: 1.0062 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5654 loss: 0.5654 2022/08/05 13:45:50 - mmengine - INFO - Epoch(train) [37][220/314] lr: 1.8868e-01 eta: 5:58:19 time: 0.3425 data_time: 0.0441 memory: 9706 grad_norm: 1.0699 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5730 loss: 0.5730 2022/08/05 13:45:57 - mmengine - INFO - Epoch(train) [37][240/314] lr: 1.8864e-01 eta: 5:58:14 time: 0.3499 data_time: 0.0479 memory: 9706 grad_norm: 1.0355 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5664 loss: 0.5664 2022/08/05 13:46:04 - mmengine - INFO - Epoch(train) [37][260/314] lr: 1.8861e-01 eta: 5:58:07 time: 0.3389 data_time: 0.0389 memory: 9706 grad_norm: 0.9934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5384 loss: 0.5384 2022/08/05 13:46:11 - mmengine - INFO - Epoch(train) [37][280/314] lr: 1.8857e-01 eta: 5:58:02 time: 0.3516 data_time: 0.0419 memory: 9706 grad_norm: 1.0462 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.4327 loss: 0.4327 2022/08/05 13:46:18 - mmengine - INFO - Epoch(train) [37][300/314] lr: 1.8853e-01 eta: 5:57:56 time: 0.3387 data_time: 0.0407 memory: 9706 grad_norm: 1.0395 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5832 loss: 0.5832 2022/08/05 13:46:22 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:46:22 - mmengine - INFO - Epoch(train) [37][314/314] lr: 1.8850e-01 eta: 5:57:56 time: 0.2928 data_time: 0.0387 memory: 9706 grad_norm: 1.1651 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6569 loss: 0.6569 2022/08/05 13:46:22 - mmengine - INFO - Saving checkpoint at 37 epochs 2022/08/05 13:46:34 - mmengine - INFO - Epoch(train) [38][20/314] lr: 1.8846e-01 eta: 5:57:33 time: 0.4656 data_time: 0.1827 memory: 9706 grad_norm: 1.0760 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6392 loss: 0.6392 2022/08/05 13:46:40 - mmengine - INFO - Epoch(train) [38][40/314] lr: 1.8842e-01 eta: 5:57:26 time: 0.3414 data_time: 0.0446 memory: 9706 grad_norm: 0.9751 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.5897 loss: 0.5897 2022/08/05 13:46:47 - mmengine - INFO - Epoch(train) [38][60/314] lr: 1.8838e-01 eta: 5:57:20 time: 0.3412 data_time: 0.0409 memory: 9706 grad_norm: 1.0227 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5432 loss: 0.5432 2022/08/05 13:46:54 - mmengine - INFO - Epoch(train) [38][80/314] lr: 1.8834e-01 eta: 5:57:14 time: 0.3419 data_time: 0.0484 memory: 9706 grad_norm: 0.9578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4881 loss: 0.4881 2022/08/05 13:47:01 - mmengine - INFO - Epoch(train) [38][100/314] lr: 1.8831e-01 eta: 5:57:07 time: 0.3335 data_time: 0.0405 memory: 9706 grad_norm: 1.0324 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5256 loss: 0.5256 2022/08/05 13:47:08 - mmengine - INFO - Epoch(train) [38][120/314] lr: 1.8827e-01 eta: 5:57:01 time: 0.3455 data_time: 0.0488 memory: 9706 grad_norm: 0.9843 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.5390 loss: 0.5390 2022/08/05 13:47:15 - mmengine - INFO - Epoch(train) [38][140/314] lr: 1.8823e-01 eta: 5:56:55 time: 0.3415 data_time: 0.0573 memory: 9706 grad_norm: 0.9745 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5580 loss: 0.5580 2022/08/05 13:47:21 - mmengine - INFO - Epoch(train) [38][160/314] lr: 1.8819e-01 eta: 5:56:49 time: 0.3402 data_time: 0.0418 memory: 9706 grad_norm: 0.9578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5187 loss: 0.5187 2022/08/05 13:47:28 - mmengine - INFO - Epoch(train) [38][180/314] lr: 1.8815e-01 eta: 5:56:42 time: 0.3419 data_time: 0.0421 memory: 9706 grad_norm: 0.9954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5054 loss: 0.5054 2022/08/05 13:47:35 - mmengine - INFO - Epoch(train) [38][200/314] lr: 1.8811e-01 eta: 5:56:36 time: 0.3398 data_time: 0.0446 memory: 9706 grad_norm: 0.9931 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4708 loss: 0.4708 2022/08/05 13:47:42 - mmengine - INFO - Epoch(train) [38][220/314] lr: 1.8807e-01 eta: 5:56:31 time: 0.3534 data_time: 0.0604 memory: 9706 grad_norm: 1.0330 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5264 loss: 0.5264 2022/08/05 13:47:49 - mmengine - INFO - Epoch(train) [38][240/314] lr: 1.8803e-01 eta: 5:56:24 time: 0.3357 data_time: 0.0447 memory: 9706 grad_norm: 1.0023 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5244 loss: 0.5244 2022/08/05 13:47:56 - mmengine - INFO - Epoch(train) [38][260/314] lr: 1.8799e-01 eta: 5:56:19 time: 0.3501 data_time: 0.0415 memory: 9706 grad_norm: 1.0027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4909 loss: 0.4909 2022/08/05 13:48:03 - mmengine - INFO - Epoch(train) [38][280/314] lr: 1.8795e-01 eta: 5:56:14 time: 0.3503 data_time: 0.0415 memory: 9706 grad_norm: 1.0254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6707 loss: 0.6707 2022/08/05 13:48:10 - mmengine - INFO - Epoch(train) [38][300/314] lr: 1.8791e-01 eta: 5:56:08 time: 0.3483 data_time: 0.0437 memory: 9706 grad_norm: 1.0803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5710 loss: 0.5710 2022/08/05 13:48:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:48:13 - mmengine - INFO - Epoch(train) [38][314/314] lr: 1.8788e-01 eta: 5:56:08 time: 0.2940 data_time: 0.0335 memory: 9706 grad_norm: 1.0333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5547 loss: 0.5547 2022/08/05 13:48:14 - mmengine - INFO - Saving checkpoint at 38 epochs 2022/08/05 13:48:26 - mmengine - INFO - Epoch(train) [39][20/314] lr: 1.8784e-01 eta: 5:55:45 time: 0.4668 data_time: 0.1907 memory: 9706 grad_norm: 1.0491 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5861 loss: 0.5861 2022/08/05 13:48:33 - mmengine - INFO - Epoch(train) [39][40/314] lr: 1.8780e-01 eta: 5:55:40 time: 0.3493 data_time: 0.0509 memory: 9706 grad_norm: 1.0192 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5773 loss: 0.5773 2022/08/05 13:48:39 - mmengine - INFO - Epoch(train) [39][60/314] lr: 1.8776e-01 eta: 5:55:34 time: 0.3401 data_time: 0.0418 memory: 9706 grad_norm: 1.0232 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5700 loss: 0.5700 2022/08/05 13:48:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:48:46 - mmengine - INFO - Epoch(train) [39][80/314] lr: 1.8772e-01 eta: 5:55:28 time: 0.3467 data_time: 0.0437 memory: 9706 grad_norm: 1.0374 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5738 loss: 0.5738 2022/08/05 13:48:53 - mmengine - INFO - Epoch(train) [39][100/314] lr: 1.8768e-01 eta: 5:55:22 time: 0.3449 data_time: 0.0490 memory: 9706 grad_norm: 0.9823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4660 loss: 0.4660 2022/08/05 13:49:00 - mmengine - INFO - Epoch(train) [39][120/314] lr: 1.8764e-01 eta: 5:55:16 time: 0.3454 data_time: 0.0414 memory: 9706 grad_norm: 1.0427 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5186 loss: 0.5186 2022/08/05 13:49:07 - mmengine - INFO - Epoch(train) [39][140/314] lr: 1.8760e-01 eta: 5:55:11 time: 0.3518 data_time: 0.0449 memory: 9706 grad_norm: 1.1012 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6897 loss: 0.6897 2022/08/05 13:49:14 - mmengine - INFO - Epoch(train) [39][160/314] lr: 1.8756e-01 eta: 5:55:04 time: 0.3363 data_time: 0.0430 memory: 9706 grad_norm: 1.0563 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4860 loss: 0.4860 2022/08/05 13:49:21 - mmengine - INFO - Epoch(train) [39][180/314] lr: 1.8752e-01 eta: 5:54:59 time: 0.3468 data_time: 0.0467 memory: 9706 grad_norm: 1.1054 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5965 loss: 0.5965 2022/08/05 13:49:28 - mmengine - INFO - Epoch(train) [39][200/314] lr: 1.8748e-01 eta: 5:54:52 time: 0.3415 data_time: 0.0411 memory: 9706 grad_norm: 1.0221 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5443 loss: 0.5443 2022/08/05 13:49:35 - mmengine - INFO - Epoch(train) [39][220/314] lr: 1.8744e-01 eta: 5:54:47 time: 0.3462 data_time: 0.0509 memory: 9706 grad_norm: 1.0515 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5835 loss: 0.5835 2022/08/05 13:49:41 - mmengine - INFO - Epoch(train) [39][240/314] lr: 1.8740e-01 eta: 5:54:40 time: 0.3418 data_time: 0.0450 memory: 9706 grad_norm: 0.9719 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5378 loss: 0.5378 2022/08/05 13:49:48 - mmengine - INFO - Epoch(train) [39][260/314] lr: 1.8736e-01 eta: 5:54:34 time: 0.3394 data_time: 0.0448 memory: 9706 grad_norm: 1.0962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5858 loss: 0.5858 2022/08/05 13:49:55 - mmengine - INFO - Epoch(train) [39][280/314] lr: 1.8732e-01 eta: 5:54:28 time: 0.3409 data_time: 0.0455 memory: 9706 grad_norm: 0.9640 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4905 loss: 0.4905 2022/08/05 13:50:02 - mmengine - INFO - Epoch(train) [39][300/314] lr: 1.8728e-01 eta: 5:54:22 time: 0.3470 data_time: 0.0486 memory: 9706 grad_norm: 0.9895 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5946 loss: 0.5946 2022/08/05 13:50:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:50:06 - mmengine - INFO - Epoch(train) [39][314/314] lr: 1.8725e-01 eta: 5:54:22 time: 0.2946 data_time: 0.0432 memory: 9706 grad_norm: 1.0495 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5535 loss: 0.5535 2022/08/05 13:50:06 - mmengine - INFO - Saving checkpoint at 39 epochs 2022/08/05 13:50:17 - mmengine - INFO - Epoch(train) [40][20/314] lr: 1.8721e-01 eta: 5:53:59 time: 0.4611 data_time: 0.1843 memory: 9706 grad_norm: 1.0409 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5095 loss: 0.5095 2022/08/05 13:50:24 - mmengine - INFO - Epoch(train) [40][40/314] lr: 1.8717e-01 eta: 5:53:53 time: 0.3411 data_time: 0.0483 memory: 9706 grad_norm: 1.0262 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4906 loss: 0.4906 2022/08/05 13:50:31 - mmengine - INFO - Epoch(train) [40][60/314] lr: 1.8713e-01 eta: 5:53:47 time: 0.3478 data_time: 0.0381 memory: 9706 grad_norm: 1.0773 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5737 loss: 0.5737 2022/08/05 13:50:38 - mmengine - INFO - Epoch(train) [40][80/314] lr: 1.8709e-01 eta: 5:53:40 time: 0.3371 data_time: 0.0429 memory: 9706 grad_norm: 1.0564 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4443 loss: 0.4443 2022/08/05 13:50:45 - mmengine - INFO - Epoch(train) [40][100/314] lr: 1.8705e-01 eta: 5:53:35 time: 0.3476 data_time: 0.0493 memory: 9706 grad_norm: 1.1053 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6256 loss: 0.6256 2022/08/05 13:50:52 - mmengine - INFO - Epoch(train) [40][120/314] lr: 1.8701e-01 eta: 5:53:30 time: 0.3511 data_time: 0.0554 memory: 9706 grad_norm: 1.0158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5304 loss: 0.5304 2022/08/05 13:50:59 - mmengine - INFO - Epoch(train) [40][140/314] lr: 1.8697e-01 eta: 5:53:23 time: 0.3371 data_time: 0.0425 memory: 9706 grad_norm: 1.0575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4044 loss: 0.4044 2022/08/05 13:51:06 - mmengine - INFO - Epoch(train) [40][160/314] lr: 1.8692e-01 eta: 5:53:18 time: 0.3586 data_time: 0.0418 memory: 9706 grad_norm: 1.0828 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5951 loss: 0.5951 2022/08/05 13:51:13 - mmengine - INFO - Epoch(train) [40][180/314] lr: 1.8688e-01 eta: 5:53:12 time: 0.3439 data_time: 0.0436 memory: 9706 grad_norm: 1.0482 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6417 loss: 0.6417 2022/08/05 13:51:20 - mmengine - INFO - Epoch(train) [40][200/314] lr: 1.8684e-01 eta: 5:53:06 time: 0.3405 data_time: 0.0456 memory: 9706 grad_norm: 1.0775 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5078 loss: 0.5078 2022/08/05 13:51:27 - mmengine - INFO - Epoch(train) [40][220/314] lr: 1.8680e-01 eta: 5:53:00 time: 0.3476 data_time: 0.0475 memory: 9706 grad_norm: 1.0720 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7166 loss: 0.7166 2022/08/05 13:51:33 - mmengine - INFO - Epoch(train) [40][240/314] lr: 1.8676e-01 eta: 5:52:54 time: 0.3418 data_time: 0.0476 memory: 9706 grad_norm: 1.0764 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5979 loss: 0.5979 2022/08/05 13:51:40 - mmengine - INFO - Epoch(train) [40][260/314] lr: 1.8672e-01 eta: 5:52:48 time: 0.3440 data_time: 0.0504 memory: 9706 grad_norm: 0.9307 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4947 loss: 0.4947 2022/08/05 13:51:47 - mmengine - INFO - Epoch(train) [40][280/314] lr: 1.8668e-01 eta: 5:52:42 time: 0.3399 data_time: 0.0441 memory: 9706 grad_norm: 0.9951 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4877 loss: 0.4877 2022/08/05 13:51:54 - mmengine - INFO - Epoch(train) [40][300/314] lr: 1.8663e-01 eta: 5:52:35 time: 0.3413 data_time: 0.0474 memory: 9706 grad_norm: 1.0626 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6071 loss: 0.6071 2022/08/05 13:51:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:51:58 - mmengine - INFO - Epoch(train) [40][314/314] lr: 1.8660e-01 eta: 5:52:35 time: 0.2870 data_time: 0.0404 memory: 9706 grad_norm: 1.1598 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6472 loss: 0.6472 2022/08/05 13:51:58 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/05 13:52:10 - mmengine - INFO - Epoch(val) [40][20/129] eta: 0:00:53 time: 0.4924 data_time: 0.3092 memory: 1867 2022/08/05 13:52:17 - mmengine - INFO - Epoch(val) [40][40/129] eta: 0:00:27 time: 0.3122 data_time: 0.1321 memory: 1867 2022/08/05 13:52:24 - mmengine - INFO - Epoch(val) [40][60/129] eta: 0:00:24 time: 0.3622 data_time: 0.1777 memory: 1867 2022/08/05 13:52:30 - mmengine - INFO - Epoch(val) [40][80/129] eta: 0:00:14 time: 0.3048 data_time: 0.1271 memory: 1867 2022/08/05 13:52:37 - mmengine - INFO - Epoch(val) [40][100/129] eta: 0:00:10 time: 0.3626 data_time: 0.1746 memory: 1867 2022/08/05 13:52:42 - mmengine - INFO - Epoch(val) [40][120/129] eta: 0:00:02 time: 0.2506 data_time: 0.0964 memory: 1867 2022/08/05 13:52:44 - mmengine - INFO - Epoch(val) [40][129/129] acc/top1: 0.6944 acc/top5: 0.9546 acc/mean1: 0.6941 2022/08/05 13:52:55 - mmengine - INFO - Epoch(train) [41][20/314] lr: 1.8656e-01 eta: 5:52:20 time: 0.5312 data_time: 0.1727 memory: 9706 grad_norm: 1.1105 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5367 loss: 0.5367 2022/08/05 13:53:02 - mmengine - INFO - Epoch(train) [41][40/314] lr: 1.8652e-01 eta: 5:52:14 time: 0.3422 data_time: 0.0433 memory: 9706 grad_norm: 0.9881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4640 loss: 0.4640 2022/08/05 13:53:08 - mmengine - INFO - Epoch(train) [41][60/314] lr: 1.8648e-01 eta: 5:52:07 time: 0.3391 data_time: 0.0413 memory: 9706 grad_norm: 1.0426 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5802 loss: 0.5802 2022/08/05 13:53:15 - mmengine - INFO - Epoch(train) [41][80/314] lr: 1.8644e-01 eta: 5:52:01 time: 0.3463 data_time: 0.0559 memory: 9706 grad_norm: 1.0015 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5523 loss: 0.5523 2022/08/05 13:53:22 - mmengine - INFO - Epoch(train) [41][100/314] lr: 1.8640e-01 eta: 5:51:55 time: 0.3409 data_time: 0.0427 memory: 9706 grad_norm: 1.0334 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5635 loss: 0.5635 2022/08/05 13:53:29 - mmengine - INFO - Epoch(train) [41][120/314] lr: 1.8635e-01 eta: 5:51:48 time: 0.3371 data_time: 0.0467 memory: 9706 grad_norm: 0.9302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4935 loss: 0.4935 2022/08/05 13:53:36 - mmengine - INFO - Epoch(train) [41][140/314] lr: 1.8631e-01 eta: 5:51:42 time: 0.3418 data_time: 0.0453 memory: 9706 grad_norm: 1.0356 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5510 loss: 0.5510 2022/08/05 13:53:43 - mmengine - INFO - Epoch(train) [41][160/314] lr: 1.8627e-01 eta: 5:51:36 time: 0.3441 data_time: 0.0460 memory: 9706 grad_norm: 1.0501 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5494 loss: 0.5494 2022/08/05 13:53:50 - mmengine - INFO - Epoch(train) [41][180/314] lr: 1.8623e-01 eta: 5:51:30 time: 0.3431 data_time: 0.0451 memory: 9706 grad_norm: 1.0473 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4574 loss: 0.4574 2022/08/05 13:53:56 - mmengine - INFO - Epoch(train) [41][200/314] lr: 1.8618e-01 eta: 5:51:24 time: 0.3406 data_time: 0.0459 memory: 9706 grad_norm: 1.0380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6113 loss: 0.6113 2022/08/05 13:54:03 - mmengine - INFO - Epoch(train) [41][220/314] lr: 1.8614e-01 eta: 5:51:18 time: 0.3504 data_time: 0.0501 memory: 9706 grad_norm: 1.0743 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5154 loss: 0.5154 2022/08/05 13:54:10 - mmengine - INFO - Epoch(train) [41][240/314] lr: 1.8610e-01 eta: 5:51:12 time: 0.3404 data_time: 0.0410 memory: 9706 grad_norm: 1.0537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6019 loss: 0.6019 2022/08/05 13:54:17 - mmengine - INFO - Epoch(train) [41][260/314] lr: 1.8606e-01 eta: 5:51:06 time: 0.3472 data_time: 0.0434 memory: 9706 grad_norm: 1.0207 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5732 loss: 0.5732 2022/08/05 13:54:24 - mmengine - INFO - Epoch(train) [41][280/314] lr: 1.8602e-01 eta: 5:51:00 time: 0.3475 data_time: 0.0439 memory: 9706 grad_norm: 0.9974 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5726 loss: 0.5726 2022/08/05 13:54:31 - mmengine - INFO - Epoch(train) [41][300/314] lr: 1.8597e-01 eta: 5:50:54 time: 0.3440 data_time: 0.0393 memory: 9706 grad_norm: 0.9997 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5024 loss: 0.5024 2022/08/05 13:54:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:54:35 - mmengine - INFO - Epoch(train) [41][314/314] lr: 1.8594e-01 eta: 5:50:54 time: 0.2925 data_time: 0.0372 memory: 9706 grad_norm: 1.0921 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.5898 loss: 0.5898 2022/08/05 13:54:35 - mmengine - INFO - Saving checkpoint at 41 epochs 2022/08/05 13:54:47 - mmengine - INFO - Epoch(train) [42][20/314] lr: 1.8590e-01 eta: 5:50:32 time: 0.4561 data_time: 0.1739 memory: 9706 grad_norm: 1.0603 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5950 loss: 0.5950 2022/08/05 13:54:54 - mmengine - INFO - Epoch(train) [42][40/314] lr: 1.8586e-01 eta: 5:50:25 time: 0.3431 data_time: 0.0436 memory: 9706 grad_norm: 0.9992 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4916 loss: 0.4916 2022/08/05 13:55:01 - mmengine - INFO - Epoch(train) [42][60/314] lr: 1.8581e-01 eta: 5:50:20 time: 0.3495 data_time: 0.0420 memory: 9706 grad_norm: 1.0475 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5525 loss: 0.5525 2022/08/05 13:55:08 - mmengine - INFO - Epoch(train) [42][80/314] lr: 1.8577e-01 eta: 5:50:14 time: 0.3478 data_time: 0.0516 memory: 9706 grad_norm: 1.0191 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5250 loss: 0.5250 2022/08/05 13:55:14 - mmengine - INFO - Epoch(train) [42][100/314] lr: 1.8573e-01 eta: 5:50:08 time: 0.3405 data_time: 0.0454 memory: 9706 grad_norm: 0.9942 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5583 loss: 0.5583 2022/08/05 13:55:21 - mmengine - INFO - Epoch(train) [42][120/314] lr: 1.8569e-01 eta: 5:50:02 time: 0.3464 data_time: 0.0495 memory: 9706 grad_norm: 1.0883 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5736 loss: 0.5736 2022/08/05 13:55:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:55:28 - mmengine - INFO - Epoch(train) [42][140/314] lr: 1.8564e-01 eta: 5:49:56 time: 0.3470 data_time: 0.0524 memory: 9706 grad_norm: 1.0335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5105 loss: 0.5105 2022/08/05 13:55:35 - mmengine - INFO - Epoch(train) [42][160/314] lr: 1.8560e-01 eta: 5:49:51 time: 0.3528 data_time: 0.0435 memory: 9706 grad_norm: 1.0557 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5095 loss: 0.5095 2022/08/05 13:55:42 - mmengine - INFO - Epoch(train) [42][180/314] lr: 1.8556e-01 eta: 5:49:45 time: 0.3449 data_time: 0.0519 memory: 9706 grad_norm: 1.0246 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5631 loss: 0.5631 2022/08/05 13:55:49 - mmengine - INFO - Epoch(train) [42][200/314] lr: 1.8551e-01 eta: 5:49:39 time: 0.3431 data_time: 0.0406 memory: 9706 grad_norm: 1.0549 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6537 loss: 0.6537 2022/08/05 13:55:56 - mmengine - INFO - Epoch(train) [42][220/314] lr: 1.8547e-01 eta: 5:49:34 time: 0.3530 data_time: 0.0467 memory: 9706 grad_norm: 1.0137 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5754 loss: 0.5754 2022/08/05 13:56:03 - mmengine - INFO - Epoch(train) [42][240/314] lr: 1.8543e-01 eta: 5:49:28 time: 0.3450 data_time: 0.0444 memory: 9706 grad_norm: 1.0049 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5821 loss: 0.5821 2022/08/05 13:56:10 - mmengine - INFO - Epoch(train) [42][260/314] lr: 1.8538e-01 eta: 5:49:21 time: 0.3375 data_time: 0.0391 memory: 9706 grad_norm: 1.0457 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4354 loss: 0.4354 2022/08/05 13:56:17 - mmengine - INFO - Epoch(train) [42][280/314] lr: 1.8534e-01 eta: 5:49:15 time: 0.3470 data_time: 0.0390 memory: 9706 grad_norm: 1.0063 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5975 loss: 0.5975 2022/08/05 13:56:24 - mmengine - INFO - Epoch(train) [42][300/314] lr: 1.8530e-01 eta: 5:49:09 time: 0.3437 data_time: 0.0477 memory: 9706 grad_norm: 1.1040 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6469 loss: 0.6469 2022/08/05 13:56:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:56:27 - mmengine - INFO - Epoch(train) [42][314/314] lr: 1.8527e-01 eta: 5:49:09 time: 0.2913 data_time: 0.0397 memory: 9706 grad_norm: 1.1338 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6799 loss: 0.6799 2022/08/05 13:56:27 - mmengine - INFO - Saving checkpoint at 42 epochs 2022/08/05 13:56:39 - mmengine - INFO - Epoch(train) [43][20/314] lr: 1.8522e-01 eta: 5:48:48 time: 0.4651 data_time: 0.1962 memory: 9706 grad_norm: 1.0879 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5885 loss: 0.5885 2022/08/05 13:56:46 - mmengine - INFO - Epoch(train) [43][40/314] lr: 1.8518e-01 eta: 5:48:41 time: 0.3338 data_time: 0.0391 memory: 9706 grad_norm: 1.0497 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5440 loss: 0.5440 2022/08/05 13:56:53 - mmengine - INFO - Epoch(train) [43][60/314] lr: 1.8514e-01 eta: 5:48:36 time: 0.3580 data_time: 0.0414 memory: 9706 grad_norm: 0.9722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5561 loss: 0.5561 2022/08/05 13:57:00 - mmengine - INFO - Epoch(train) [43][80/314] lr: 1.8509e-01 eta: 5:48:30 time: 0.3432 data_time: 0.0433 memory: 9706 grad_norm: 1.0230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5216 loss: 0.5216 2022/08/05 13:57:07 - mmengine - INFO - Epoch(train) [43][100/314] lr: 1.8505e-01 eta: 5:48:24 time: 0.3468 data_time: 0.0416 memory: 9706 grad_norm: 1.0087 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5007 loss: 0.5007 2022/08/05 13:57:14 - mmengine - INFO - Epoch(train) [43][120/314] lr: 1.8500e-01 eta: 5:48:18 time: 0.3400 data_time: 0.0462 memory: 9706 grad_norm: 1.0644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5581 loss: 0.5581 2022/08/05 13:57:21 - mmengine - INFO - Epoch(train) [43][140/314] lr: 1.8496e-01 eta: 5:48:12 time: 0.3469 data_time: 0.0416 memory: 9706 grad_norm: 1.0338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6045 loss: 0.6045 2022/08/05 13:57:28 - mmengine - INFO - Epoch(train) [43][160/314] lr: 1.8492e-01 eta: 5:48:06 time: 0.3428 data_time: 0.0420 memory: 9706 grad_norm: 1.0038 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5111 loss: 0.5111 2022/08/05 13:57:34 - mmengine - INFO - Epoch(train) [43][180/314] lr: 1.8487e-01 eta: 5:47:59 time: 0.3394 data_time: 0.0473 memory: 9706 grad_norm: 0.9713 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5834 loss: 0.5834 2022/08/05 13:57:41 - mmengine - INFO - Epoch(train) [43][200/314] lr: 1.8483e-01 eta: 5:47:54 time: 0.3498 data_time: 0.0439 memory: 9706 grad_norm: 1.0569 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5927 loss: 0.5927 2022/08/05 13:57:48 - mmengine - INFO - Epoch(train) [43][220/314] lr: 1.8478e-01 eta: 5:47:48 time: 0.3472 data_time: 0.0437 memory: 9706 grad_norm: 1.1449 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6188 loss: 0.6188 2022/08/05 13:57:55 - mmengine - INFO - Epoch(train) [43][240/314] lr: 1.8474e-01 eta: 5:47:41 time: 0.3357 data_time: 0.0443 memory: 9706 grad_norm: 1.0695 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.5789 loss: 0.5789 2022/08/05 13:58:02 - mmengine - INFO - Epoch(train) [43][260/314] lr: 1.8469e-01 eta: 5:47:35 time: 0.3497 data_time: 0.0434 memory: 9706 grad_norm: 1.0593 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5450 loss: 0.5450 2022/08/05 13:58:09 - mmengine - INFO - Epoch(train) [43][280/314] lr: 1.8465e-01 eta: 5:47:29 time: 0.3383 data_time: 0.0451 memory: 9706 grad_norm: 0.9668 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6301 loss: 0.6301 2022/08/05 13:58:16 - mmengine - INFO - Epoch(train) [43][300/314] lr: 1.8461e-01 eta: 5:47:22 time: 0.3393 data_time: 0.0488 memory: 9706 grad_norm: 0.9439 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4114 loss: 0.4114 2022/08/05 13:58:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 13:58:19 - mmengine - INFO - Epoch(train) [43][314/314] lr: 1.8458e-01 eta: 5:47:22 time: 0.2870 data_time: 0.0370 memory: 9706 grad_norm: 1.0725 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5168 loss: 0.5168 2022/08/05 13:58:19 - mmengine - INFO - Saving checkpoint at 43 epochs 2022/08/05 13:58:31 - mmengine - INFO - Epoch(train) [44][20/314] lr: 1.8453e-01 eta: 5:47:00 time: 0.4547 data_time: 0.1637 memory: 9706 grad_norm: 1.0347 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5955 loss: 0.5955 2022/08/05 13:58:38 - mmengine - INFO - Epoch(train) [44][40/314] lr: 1.8449e-01 eta: 5:46:54 time: 0.3412 data_time: 0.0492 memory: 9706 grad_norm: 0.9265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4606 loss: 0.4606 2022/08/05 13:58:45 - mmengine - INFO - Epoch(train) [44][60/314] lr: 1.8444e-01 eta: 5:46:48 time: 0.3449 data_time: 0.0446 memory: 9706 grad_norm: 1.1406 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5477 loss: 0.5477 2022/08/05 13:58:52 - mmengine - INFO - Epoch(train) [44][80/314] lr: 1.8440e-01 eta: 5:46:41 time: 0.3392 data_time: 0.0401 memory: 9706 grad_norm: 1.0386 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5135 loss: 0.5135 2022/08/05 13:58:59 - mmengine - INFO - Epoch(train) [44][100/314] lr: 1.8435e-01 eta: 5:46:35 time: 0.3421 data_time: 0.0444 memory: 9706 grad_norm: 0.9962 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5004 loss: 0.5004 2022/08/05 13:59:05 - mmengine - INFO - Epoch(train) [44][120/314] lr: 1.8431e-01 eta: 5:46:29 time: 0.3427 data_time: 0.0422 memory: 9706 grad_norm: 1.1004 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4927 loss: 0.4927 2022/08/05 13:59:12 - mmengine - INFO - Epoch(train) [44][140/314] lr: 1.8426e-01 eta: 5:46:22 time: 0.3394 data_time: 0.0441 memory: 9706 grad_norm: 0.9556 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6066 loss: 0.6066 2022/08/05 13:59:19 - mmengine - INFO - Epoch(train) [44][160/314] lr: 1.8422e-01 eta: 5:46:17 time: 0.3468 data_time: 0.0533 memory: 9706 grad_norm: 1.0780 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5945 loss: 0.5945 2022/08/05 13:59:26 - mmengine - INFO - Epoch(train) [44][180/314] lr: 1.8417e-01 eta: 5:46:11 time: 0.3504 data_time: 0.0430 memory: 9706 grad_norm: 1.0156 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5559 loss: 0.5559 2022/08/05 13:59:33 - mmengine - INFO - Epoch(train) [44][200/314] lr: 1.8413e-01 eta: 5:46:05 time: 0.3464 data_time: 0.0530 memory: 9706 grad_norm: 1.0157 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5637 loss: 0.5637 2022/08/05 13:59:40 - mmengine - INFO - Epoch(train) [44][220/314] lr: 1.8408e-01 eta: 5:45:59 time: 0.3468 data_time: 0.0417 memory: 9706 grad_norm: 1.0242 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5498 loss: 0.5498 2022/08/05 13:59:47 - mmengine - INFO - Epoch(train) [44][240/314] lr: 1.8404e-01 eta: 5:45:53 time: 0.3392 data_time: 0.0558 memory: 9706 grad_norm: 1.0155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5822 loss: 0.5822 2022/08/05 13:59:54 - mmengine - INFO - Epoch(train) [44][260/314] lr: 1.8399e-01 eta: 5:45:47 time: 0.3447 data_time: 0.0540 memory: 9706 grad_norm: 1.0538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5710 loss: 0.5710 2022/08/05 14:00:00 - mmengine - INFO - Epoch(train) [44][280/314] lr: 1.8395e-01 eta: 5:45:40 time: 0.3365 data_time: 0.0518 memory: 9706 grad_norm: 0.9821 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.5899 loss: 0.5899 2022/08/05 14:00:07 - mmengine - INFO - Epoch(train) [44][300/314] lr: 1.8390e-01 eta: 5:45:34 time: 0.3475 data_time: 0.0663 memory: 9706 grad_norm: 0.9537 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5061 loss: 0.5061 2022/08/05 14:00:11 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:00:11 - mmengine - INFO - Epoch(train) [44][314/314] lr: 1.8387e-01 eta: 5:45:34 time: 0.2919 data_time: 0.0453 memory: 9706 grad_norm: 1.0579 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4962 loss: 0.4962 2022/08/05 14:00:11 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/05 14:00:23 - mmengine - INFO - Epoch(train) [45][20/314] lr: 1.8382e-01 eta: 5:45:12 time: 0.4525 data_time: 0.1811 memory: 9706 grad_norm: 1.0995 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6218 loss: 0.6218 2022/08/05 14:00:30 - mmengine - INFO - Epoch(train) [45][40/314] lr: 1.8378e-01 eta: 5:45:05 time: 0.3365 data_time: 0.0435 memory: 9706 grad_norm: 1.0775 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6117 loss: 0.6117 2022/08/05 14:00:36 - mmengine - INFO - Epoch(train) [45][60/314] lr: 1.8373e-01 eta: 5:44:59 time: 0.3421 data_time: 0.0476 memory: 9706 grad_norm: 1.0215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5342 loss: 0.5342 2022/08/05 14:00:43 - mmengine - INFO - Epoch(train) [45][80/314] lr: 1.8369e-01 eta: 5:44:53 time: 0.3468 data_time: 0.0499 memory: 9706 grad_norm: 1.0613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5976 loss: 0.5976 2022/08/05 14:00:50 - mmengine - INFO - Epoch(train) [45][100/314] lr: 1.8364e-01 eta: 5:44:47 time: 0.3416 data_time: 0.0383 memory: 9706 grad_norm: 0.9890 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5119 loss: 0.5119 2022/08/05 14:00:57 - mmengine - INFO - Epoch(train) [45][120/314] lr: 1.8360e-01 eta: 5:44:41 time: 0.3479 data_time: 0.0429 memory: 9706 grad_norm: 1.0800 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4955 loss: 0.4955 2022/08/05 14:01:04 - mmengine - INFO - Epoch(train) [45][140/314] lr: 1.8355e-01 eta: 5:44:35 time: 0.3402 data_time: 0.0440 memory: 9706 grad_norm: 1.0657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5529 loss: 0.5529 2022/08/05 14:01:11 - mmengine - INFO - Epoch(train) [45][160/314] lr: 1.8350e-01 eta: 5:44:28 time: 0.3383 data_time: 0.0500 memory: 9706 grad_norm: 0.9937 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4226 loss: 0.4226 2022/08/05 14:01:18 - mmengine - INFO - Epoch(train) [45][180/314] lr: 1.8346e-01 eta: 5:44:23 time: 0.3563 data_time: 0.0456 memory: 9706 grad_norm: 0.9668 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5660 loss: 0.5660 2022/08/05 14:01:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:01:25 - mmengine - INFO - Epoch(train) [45][200/314] lr: 1.8341e-01 eta: 5:44:17 time: 0.3453 data_time: 0.0463 memory: 9706 grad_norm: 1.0126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5059 loss: 0.5059 2022/08/05 14:01:31 - mmengine - INFO - Epoch(train) [45][220/314] lr: 1.8337e-01 eta: 5:44:10 time: 0.3365 data_time: 0.0404 memory: 9706 grad_norm: 1.0478 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.4747 loss: 0.4747 2022/08/05 14:01:38 - mmengine - INFO - Epoch(train) [45][240/314] lr: 1.8332e-01 eta: 5:44:05 time: 0.3504 data_time: 0.0422 memory: 9706 grad_norm: 1.0715 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.6457 loss: 0.6457 2022/08/05 14:01:45 - mmengine - INFO - Epoch(train) [45][260/314] lr: 1.8327e-01 eta: 5:43:59 time: 0.3446 data_time: 0.0457 memory: 9706 grad_norm: 0.9671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4457 loss: 0.4457 2022/08/05 14:01:53 - mmengine - INFO - Epoch(train) [45][280/314] lr: 1.8323e-01 eta: 5:43:54 time: 0.3566 data_time: 0.0422 memory: 9706 grad_norm: 1.0631 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.5384 loss: 0.5384 2022/08/05 14:01:59 - mmengine - INFO - Epoch(train) [45][300/314] lr: 1.8318e-01 eta: 5:43:46 time: 0.3284 data_time: 0.0395 memory: 9706 grad_norm: 1.0582 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5964 loss: 0.5964 2022/08/05 14:02:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:02:03 - mmengine - INFO - Epoch(train) [45][314/314] lr: 1.8315e-01 eta: 5:43:46 time: 0.2914 data_time: 0.0377 memory: 9706 grad_norm: 1.0366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4677 loss: 0.4677 2022/08/05 14:02:03 - mmengine - INFO - Saving checkpoint at 45 epochs 2022/08/05 14:02:15 - mmengine - INFO - Epoch(train) [46][20/314] lr: 1.8310e-01 eta: 5:43:27 time: 0.4771 data_time: 0.2067 memory: 9706 grad_norm: 1.0356 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4980 loss: 0.4980 2022/08/05 14:02:22 - mmengine - INFO - Epoch(train) [46][40/314] lr: 1.8306e-01 eta: 5:43:20 time: 0.3362 data_time: 0.0448 memory: 9706 grad_norm: 1.0337 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5886 loss: 0.5886 2022/08/05 14:02:29 - mmengine - INFO - Epoch(train) [46][60/314] lr: 1.8301e-01 eta: 5:43:15 time: 0.3529 data_time: 0.0416 memory: 9706 grad_norm: 1.0052 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5102 loss: 0.5102 2022/08/05 14:02:36 - mmengine - INFO - Epoch(train) [46][80/314] lr: 1.8296e-01 eta: 5:43:08 time: 0.3357 data_time: 0.0439 memory: 9706 grad_norm: 1.0949 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5044 loss: 0.5044 2022/08/05 14:02:42 - mmengine - INFO - Epoch(train) [46][100/314] lr: 1.8292e-01 eta: 5:43:01 time: 0.3390 data_time: 0.0470 memory: 9706 grad_norm: 1.1058 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6669 loss: 0.6669 2022/08/05 14:02:49 - mmengine - INFO - Epoch(train) [46][120/314] lr: 1.8287e-01 eta: 5:42:55 time: 0.3455 data_time: 0.0462 memory: 9706 grad_norm: 1.0831 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6173 loss: 0.6173 2022/08/05 14:02:56 - mmengine - INFO - Epoch(train) [46][140/314] lr: 1.8282e-01 eta: 5:42:49 time: 0.3477 data_time: 0.0449 memory: 9706 grad_norm: 1.0496 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5907 loss: 0.5907 2022/08/05 14:03:03 - mmengine - INFO - Epoch(train) [46][160/314] lr: 1.8278e-01 eta: 5:42:44 time: 0.3502 data_time: 0.0448 memory: 9706 grad_norm: 1.0932 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5968 loss: 0.5968 2022/08/05 14:03:10 - mmengine - INFO - Epoch(train) [46][180/314] lr: 1.8273e-01 eta: 5:42:37 time: 0.3388 data_time: 0.0535 memory: 9706 grad_norm: 1.0984 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4399 loss: 0.4399 2022/08/05 14:03:17 - mmengine - INFO - Epoch(train) [46][200/314] lr: 1.8268e-01 eta: 5:42:31 time: 0.3441 data_time: 0.0395 memory: 9706 grad_norm: 1.0442 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6059 loss: 0.6059 2022/08/05 14:03:24 - mmengine - INFO - Epoch(train) [46][220/314] lr: 1.8264e-01 eta: 5:42:26 time: 0.3605 data_time: 0.0479 memory: 9706 grad_norm: 1.0433 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5792 loss: 0.5792 2022/08/05 14:03:31 - mmengine - INFO - Epoch(train) [46][240/314] lr: 1.8259e-01 eta: 5:42:21 time: 0.3463 data_time: 0.0398 memory: 9706 grad_norm: 1.0380 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5954 loss: 0.5954 2022/08/05 14:03:38 - mmengine - INFO - Epoch(train) [46][260/314] lr: 1.8254e-01 eta: 5:42:14 time: 0.3417 data_time: 0.0553 memory: 9706 grad_norm: 0.9633 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4474 loss: 0.4474 2022/08/05 14:03:45 - mmengine - INFO - Epoch(train) [46][280/314] lr: 1.8250e-01 eta: 5:42:09 time: 0.3550 data_time: 0.0425 memory: 9706 grad_norm: 1.0306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5996 loss: 0.5996 2022/08/05 14:03:52 - mmengine - INFO - Epoch(train) [46][300/314] lr: 1.8245e-01 eta: 5:42:03 time: 0.3489 data_time: 0.0447 memory: 9706 grad_norm: 1.0683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3964 loss: 0.3964 2022/08/05 14:03:56 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:03:56 - mmengine - INFO - Epoch(train) [46][314/314] lr: 1.8241e-01 eta: 5:42:03 time: 0.3014 data_time: 0.0428 memory: 9706 grad_norm: 1.0184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4594 loss: 0.4594 2022/08/05 14:03:56 - mmengine - INFO - Saving checkpoint at 46 epochs 2022/08/05 14:04:07 - mmengine - INFO - Epoch(train) [47][20/314] lr: 1.8237e-01 eta: 5:41:42 time: 0.4590 data_time: 0.1811 memory: 9706 grad_norm: 1.0070 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4666 loss: 0.4666 2022/08/05 14:04:14 - mmengine - INFO - Epoch(train) [47][40/314] lr: 1.8232e-01 eta: 5:41:36 time: 0.3471 data_time: 0.0408 memory: 9706 grad_norm: 1.0607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4897 loss: 0.4897 2022/08/05 14:04:21 - mmengine - INFO - Epoch(train) [47][60/314] lr: 1.8227e-01 eta: 5:41:30 time: 0.3374 data_time: 0.0400 memory: 9706 grad_norm: 1.0557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4517 loss: 0.4517 2022/08/05 14:04:28 - mmengine - INFO - Epoch(train) [47][80/314] lr: 1.8223e-01 eta: 5:41:24 time: 0.3452 data_time: 0.0427 memory: 9706 grad_norm: 1.0484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5494 loss: 0.5494 2022/08/05 14:04:35 - mmengine - INFO - Epoch(train) [47][100/314] lr: 1.8218e-01 eta: 5:41:18 time: 0.3513 data_time: 0.0506 memory: 9706 grad_norm: 1.0506 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6116 loss: 0.6116 2022/08/05 14:04:42 - mmengine - INFO - Epoch(train) [47][120/314] lr: 1.8213e-01 eta: 5:41:12 time: 0.3455 data_time: 0.0434 memory: 9706 grad_norm: 1.0099 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5418 loss: 0.5418 2022/08/05 14:04:49 - mmengine - INFO - Epoch(train) [47][140/314] lr: 1.8208e-01 eta: 5:41:06 time: 0.3397 data_time: 0.0418 memory: 9706 grad_norm: 0.9830 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4843 loss: 0.4843 2022/08/05 14:04:56 - mmengine - INFO - Epoch(train) [47][160/314] lr: 1.8204e-01 eta: 5:40:59 time: 0.3395 data_time: 0.0524 memory: 9706 grad_norm: 1.0325 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5460 loss: 0.5460 2022/08/05 14:05:02 - mmengine - INFO - Epoch(train) [47][180/314] lr: 1.8199e-01 eta: 5:40:53 time: 0.3432 data_time: 0.0427 memory: 9706 grad_norm: 1.0303 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5730 loss: 0.5730 2022/08/05 14:05:09 - mmengine - INFO - Epoch(train) [47][200/314] lr: 1.8194e-01 eta: 5:40:47 time: 0.3466 data_time: 0.0458 memory: 9706 grad_norm: 1.0459 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.4827 loss: 0.4827 2022/08/05 14:05:16 - mmengine - INFO - Epoch(train) [47][220/314] lr: 1.8189e-01 eta: 5:40:41 time: 0.3421 data_time: 0.0419 memory: 9706 grad_norm: 0.9786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5418 loss: 0.5418 2022/08/05 14:05:23 - mmengine - INFO - Epoch(train) [47][240/314] lr: 1.8184e-01 eta: 5:40:35 time: 0.3455 data_time: 0.0434 memory: 9706 grad_norm: 1.0383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5064 loss: 0.5064 2022/08/05 14:05:30 - mmengine - INFO - Epoch(train) [47][260/314] lr: 1.8180e-01 eta: 5:40:28 time: 0.3376 data_time: 0.0429 memory: 9706 grad_norm: 1.0379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5495 loss: 0.5495 2022/08/05 14:05:37 - mmengine - INFO - Epoch(train) [47][280/314] lr: 1.8175e-01 eta: 5:40:22 time: 0.3435 data_time: 0.0403 memory: 9706 grad_norm: 0.9498 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4349 loss: 0.4349 2022/08/05 14:05:44 - mmengine - INFO - Epoch(train) [47][300/314] lr: 1.8170e-01 eta: 5:40:16 time: 0.3475 data_time: 0.0520 memory: 9706 grad_norm: 1.0372 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4371 loss: 0.4371 2022/08/05 14:05:47 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:05:47 - mmengine - INFO - Epoch(train) [47][314/314] lr: 1.8167e-01 eta: 5:40:16 time: 0.2847 data_time: 0.0361 memory: 9706 grad_norm: 1.0906 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5414 loss: 0.5414 2022/08/05 14:05:48 - mmengine - INFO - Saving checkpoint at 47 epochs 2022/08/05 14:05:59 - mmengine - INFO - Epoch(train) [48][20/314] lr: 1.8162e-01 eta: 5:39:55 time: 0.4504 data_time: 0.1712 memory: 9706 grad_norm: 1.1275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6178 loss: 0.6178 2022/08/05 14:06:06 - mmengine - INFO - Epoch(train) [48][40/314] lr: 1.8157e-01 eta: 5:39:49 time: 0.3462 data_time: 0.0453 memory: 9706 grad_norm: 1.0607 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4879 loss: 0.4879 2022/08/05 14:06:13 - mmengine - INFO - Epoch(train) [48][60/314] lr: 1.8152e-01 eta: 5:39:42 time: 0.3422 data_time: 0.0405 memory: 9706 grad_norm: 1.0490 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5501 loss: 0.5501 2022/08/05 14:06:19 - mmengine - INFO - Epoch(train) [48][80/314] lr: 1.8147e-01 eta: 5:39:36 time: 0.3434 data_time: 0.0525 memory: 9706 grad_norm: 1.0127 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5668 loss: 0.5668 2022/08/05 14:06:27 - mmengine - INFO - Epoch(train) [48][100/314] lr: 1.8143e-01 eta: 5:39:31 time: 0.3568 data_time: 0.0426 memory: 9706 grad_norm: 1.0659 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5313 loss: 0.5313 2022/08/05 14:06:33 - mmengine - INFO - Epoch(train) [48][120/314] lr: 1.8138e-01 eta: 5:39:24 time: 0.3359 data_time: 0.0413 memory: 9706 grad_norm: 1.0621 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4726 loss: 0.4726 2022/08/05 14:06:40 - mmengine - INFO - Epoch(train) [48][140/314] lr: 1.8133e-01 eta: 5:39:18 time: 0.3423 data_time: 0.0437 memory: 9706 grad_norm: 1.0351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6412 loss: 0.6412 2022/08/05 14:06:47 - mmengine - INFO - Epoch(train) [48][160/314] lr: 1.8128e-01 eta: 5:39:12 time: 0.3486 data_time: 0.0519 memory: 9706 grad_norm: 1.0055 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5113 loss: 0.5113 2022/08/05 14:06:54 - mmengine - INFO - Epoch(train) [48][180/314] lr: 1.8123e-01 eta: 5:39:06 time: 0.3418 data_time: 0.0498 memory: 9706 grad_norm: 1.0752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6186 loss: 0.6186 2022/08/05 14:07:01 - mmengine - INFO - Epoch(train) [48][200/314] lr: 1.8118e-01 eta: 5:39:00 time: 0.3484 data_time: 0.0387 memory: 9706 grad_norm: 1.0368 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5194 loss: 0.5194 2022/08/05 14:07:08 - mmengine - INFO - Epoch(train) [48][220/314] lr: 1.8113e-01 eta: 5:38:54 time: 0.3429 data_time: 0.0435 memory: 9706 grad_norm: 1.0909 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5158 loss: 0.5158 2022/08/05 14:07:15 - mmengine - INFO - Epoch(train) [48][240/314] lr: 1.8109e-01 eta: 5:38:48 time: 0.3414 data_time: 0.0432 memory: 9706 grad_norm: 0.9428 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4708 loss: 0.4708 2022/08/05 14:07:15 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:07:22 - mmengine - INFO - Epoch(train) [48][260/314] lr: 1.8104e-01 eta: 5:38:42 time: 0.3557 data_time: 0.0421 memory: 9706 grad_norm: 1.0275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5693 loss: 0.5693 2022/08/05 14:07:29 - mmengine - INFO - Epoch(train) [48][280/314] lr: 1.8099e-01 eta: 5:38:37 time: 0.3487 data_time: 0.0489 memory: 9706 grad_norm: 1.0799 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5358 loss: 0.5358 2022/08/05 14:07:36 - mmengine - INFO - Epoch(train) [48][300/314] lr: 1.8094e-01 eta: 5:38:30 time: 0.3389 data_time: 0.0423 memory: 9706 grad_norm: 0.9995 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5375 loss: 0.5375 2022/08/05 14:07:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:07:39 - mmengine - INFO - Epoch(train) [48][314/314] lr: 1.8090e-01 eta: 5:38:30 time: 0.2899 data_time: 0.0371 memory: 9706 grad_norm: 1.0917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5707 loss: 0.5707 2022/08/05 14:07:39 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/05 14:07:51 - mmengine - INFO - Epoch(train) [49][20/314] lr: 1.8086e-01 eta: 5:38:10 time: 0.4670 data_time: 0.1882 memory: 9706 grad_norm: 1.0879 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6328 loss: 0.6328 2022/08/05 14:07:58 - mmengine - INFO - Epoch(train) [49][40/314] lr: 1.8081e-01 eta: 5:38:04 time: 0.3495 data_time: 0.0447 memory: 9706 grad_norm: 1.0955 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5142 loss: 0.5142 2022/08/05 14:08:05 - mmengine - INFO - Epoch(train) [49][60/314] lr: 1.8076e-01 eta: 5:37:58 time: 0.3415 data_time: 0.0528 memory: 9706 grad_norm: 1.0791 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5893 loss: 0.5893 2022/08/05 14:08:12 - mmengine - INFO - Epoch(train) [49][80/314] lr: 1.8071e-01 eta: 5:37:52 time: 0.3455 data_time: 0.0550 memory: 9706 grad_norm: 0.9981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6327 loss: 0.6327 2022/08/05 14:08:19 - mmengine - INFO - Epoch(train) [49][100/314] lr: 1.8066e-01 eta: 5:37:46 time: 0.3430 data_time: 0.0490 memory: 9706 grad_norm: 0.9818 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4376 loss: 0.4376 2022/08/05 14:08:26 - mmengine - INFO - Epoch(train) [49][120/314] lr: 1.8061e-01 eta: 5:37:41 time: 0.3561 data_time: 0.0386 memory: 9706 grad_norm: 1.0678 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4416 loss: 0.4416 2022/08/05 14:08:33 - mmengine - INFO - Epoch(train) [49][140/314] lr: 1.8056e-01 eta: 5:37:34 time: 0.3423 data_time: 0.0434 memory: 9706 grad_norm: 0.9938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5490 loss: 0.5490 2022/08/05 14:08:40 - mmengine - INFO - Epoch(train) [49][160/314] lr: 1.8051e-01 eta: 5:37:28 time: 0.3416 data_time: 0.0421 memory: 9706 grad_norm: 1.0880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5029 loss: 0.5029 2022/08/05 14:08:47 - mmengine - INFO - Epoch(train) [49][180/314] lr: 1.8046e-01 eta: 5:37:22 time: 0.3438 data_time: 0.0446 memory: 9706 grad_norm: 1.0148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5011 loss: 0.5011 2022/08/05 14:08:54 - mmengine - INFO - Epoch(train) [49][200/314] lr: 1.8041e-01 eta: 5:37:16 time: 0.3525 data_time: 0.0473 memory: 9706 grad_norm: 1.0575 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6153 loss: 0.6153 2022/08/05 14:09:00 - mmengine - INFO - Epoch(train) [49][220/314] lr: 1.8036e-01 eta: 5:37:09 time: 0.3293 data_time: 0.0434 memory: 9706 grad_norm: 1.0421 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5874 loss: 0.5874 2022/08/05 14:09:07 - mmengine - INFO - Epoch(train) [49][240/314] lr: 1.8031e-01 eta: 5:37:03 time: 0.3438 data_time: 0.0463 memory: 9706 grad_norm: 0.9872 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5116 loss: 0.5116 2022/08/05 14:09:14 - mmengine - INFO - Epoch(train) [49][260/314] lr: 1.8026e-01 eta: 5:36:56 time: 0.3431 data_time: 0.0463 memory: 9706 grad_norm: 1.0856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4754 loss: 0.4754 2022/08/05 14:09:21 - mmengine - INFO - Epoch(train) [49][280/314] lr: 1.8021e-01 eta: 5:36:50 time: 0.3418 data_time: 0.0410 memory: 9706 grad_norm: 1.0496 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4739 loss: 0.4739 2022/08/05 14:09:28 - mmengine - INFO - Epoch(train) [49][300/314] lr: 1.8016e-01 eta: 5:36:44 time: 0.3440 data_time: 0.0421 memory: 9706 grad_norm: 1.0459 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4976 loss: 0.4976 2022/08/05 14:09:31 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:09:31 - mmengine - INFO - Epoch(train) [49][314/314] lr: 1.8013e-01 eta: 5:36:44 time: 0.2888 data_time: 0.0350 memory: 9706 grad_norm: 1.0927 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6048 loss: 0.6048 2022/08/05 14:09:31 - mmengine - INFO - Saving checkpoint at 49 epochs 2022/08/05 14:09:43 - mmengine - INFO - Epoch(train) [50][20/314] lr: 1.8008e-01 eta: 5:36:24 time: 0.4681 data_time: 0.1918 memory: 9706 grad_norm: 1.0530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5023 loss: 0.5023 2022/08/05 14:09:50 - mmengine - INFO - Epoch(train) [50][40/314] lr: 1.8003e-01 eta: 5:36:18 time: 0.3362 data_time: 0.0458 memory: 9706 grad_norm: 1.0967 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5376 loss: 0.5376 2022/08/05 14:09:57 - mmengine - INFO - Epoch(train) [50][60/314] lr: 1.7998e-01 eta: 5:36:12 time: 0.3512 data_time: 0.0422 memory: 9706 grad_norm: 1.0667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5525 loss: 0.5525 2022/08/05 14:10:04 - mmengine - INFO - Epoch(train) [50][80/314] lr: 1.7993e-01 eta: 5:36:06 time: 0.3465 data_time: 0.0518 memory: 9706 grad_norm: 1.0652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5052 loss: 0.5052 2022/08/05 14:10:11 - mmengine - INFO - Epoch(train) [50][100/314] lr: 1.7988e-01 eta: 5:36:00 time: 0.3452 data_time: 0.0443 memory: 9706 grad_norm: 1.1025 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5341 loss: 0.5341 2022/08/05 14:10:18 - mmengine - INFO - Epoch(train) [50][120/314] lr: 1.7983e-01 eta: 5:35:54 time: 0.3499 data_time: 0.0430 memory: 9706 grad_norm: 1.0261 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5777 loss: 0.5777 2022/08/05 14:10:25 - mmengine - INFO - Epoch(train) [50][140/314] lr: 1.7978e-01 eta: 5:35:48 time: 0.3454 data_time: 0.0517 memory: 9706 grad_norm: 1.0671 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6131 loss: 0.6131 2022/08/05 14:10:31 - mmengine - INFO - Epoch(train) [50][160/314] lr: 1.7973e-01 eta: 5:35:41 time: 0.3348 data_time: 0.0410 memory: 9706 grad_norm: 1.0539 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6276 loss: 0.6276 2022/08/05 14:10:38 - mmengine - INFO - Epoch(train) [50][180/314] lr: 1.7968e-01 eta: 5:35:35 time: 0.3484 data_time: 0.0433 memory: 9706 grad_norm: 1.0204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6207 loss: 0.6207 2022/08/05 14:10:45 - mmengine - INFO - Epoch(train) [50][200/314] lr: 1.7963e-01 eta: 5:35:30 time: 0.3491 data_time: 0.0457 memory: 9706 grad_norm: 1.0351 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5321 loss: 0.5321 2022/08/05 14:10:52 - mmengine - INFO - Epoch(train) [50][220/314] lr: 1.7958e-01 eta: 5:35:23 time: 0.3399 data_time: 0.0434 memory: 9706 grad_norm: 1.0262 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5175 loss: 0.5175 2022/08/05 14:10:59 - mmengine - INFO - Epoch(train) [50][240/314] lr: 1.7953e-01 eta: 5:35:17 time: 0.3414 data_time: 0.0430 memory: 9706 grad_norm: 1.0001 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4229 loss: 0.4229 2022/08/05 14:11:06 - mmengine - INFO - Epoch(train) [50][260/314] lr: 1.7947e-01 eta: 5:35:11 time: 0.3453 data_time: 0.0427 memory: 9706 grad_norm: 1.0347 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5167 loss: 0.5167 2022/08/05 14:11:13 - mmengine - INFO - Epoch(train) [50][280/314] lr: 1.7942e-01 eta: 5:35:04 time: 0.3422 data_time: 0.0441 memory: 9706 grad_norm: 1.0187 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5487 loss: 0.5487 2022/08/05 14:11:20 - mmengine - INFO - Epoch(train) [50][300/314] lr: 1.7937e-01 eta: 5:34:59 time: 0.3516 data_time: 0.0426 memory: 9706 grad_norm: 1.0848 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5703 loss: 0.5703 2022/08/05 14:11:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:11:24 - mmengine - INFO - Epoch(train) [50][314/314] lr: 1.7934e-01 eta: 5:34:59 time: 0.3104 data_time: 0.0366 memory: 9706 grad_norm: 1.0893 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7014 loss: 0.7014 2022/08/05 14:11:24 - mmengine - INFO - Saving checkpoint at 50 epochs 2022/08/05 14:11:36 - mmengine - INFO - Epoch(val) [50][20/129] eta: 0:00:49 time: 0.4535 data_time: 0.2796 memory: 1867 2022/08/05 14:11:42 - mmengine - INFO - Epoch(val) [50][40/129] eta: 0:00:28 time: 0.3192 data_time: 0.1381 memory: 1867 2022/08/05 14:11:50 - mmengine - INFO - Epoch(val) [50][60/129] eta: 0:00:25 time: 0.3662 data_time: 0.1706 memory: 1867 2022/08/05 14:11:56 - mmengine - INFO - Epoch(val) [50][80/129] eta: 0:00:15 time: 0.3244 data_time: 0.1411 memory: 1867 2022/08/05 14:12:03 - mmengine - INFO - Epoch(val) [50][100/129] eta: 0:00:09 time: 0.3274 data_time: 0.1454 memory: 1867 2022/08/05 14:12:08 - mmengine - INFO - Epoch(val) [50][120/129] eta: 0:00:02 time: 0.2858 data_time: 0.1271 memory: 1867 2022/08/05 14:12:10 - mmengine - INFO - Epoch(val) [50][129/129] acc/top1: 0.7971 acc/top5: 0.9623 acc/mean1: 0.7968 2022/08/05 14:12:10 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_21.pth is removed 2022/08/05 14:12:13 - mmengine - INFO - The best checkpoint with 0.7971 acc/top1 at 51 epoch is saved to best_acc/top1_epoch_51.pth. 2022/08/05 14:12:23 - mmengine - INFO - Epoch(train) [51][20/314] lr: 1.7929e-01 eta: 5:34:41 time: 0.4884 data_time: 0.2150 memory: 9706 grad_norm: 1.0552 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4753 loss: 0.4753 2022/08/05 14:12:30 - mmengine - INFO - Epoch(train) [51][40/314] lr: 1.7924e-01 eta: 5:34:34 time: 0.3401 data_time: 0.0460 memory: 9706 grad_norm: 0.9803 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4890 loss: 0.4890 2022/08/05 14:12:36 - mmengine - INFO - Epoch(train) [51][60/314] lr: 1.7919e-01 eta: 5:34:28 time: 0.3412 data_time: 0.0387 memory: 9706 grad_norm: 1.0480 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4919 loss: 0.4919 2022/08/05 14:12:43 - mmengine - INFO - Epoch(train) [51][80/314] lr: 1.7913e-01 eta: 5:34:22 time: 0.3422 data_time: 0.0482 memory: 9706 grad_norm: 1.1783 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5608 loss: 0.5608 2022/08/05 14:12:50 - mmengine - INFO - Epoch(train) [51][100/314] lr: 1.7908e-01 eta: 5:34:16 time: 0.3517 data_time: 0.0429 memory: 9706 grad_norm: 1.0707 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5590 loss: 0.5590 2022/08/05 14:12:57 - mmengine - INFO - Epoch(train) [51][120/314] lr: 1.7903e-01 eta: 5:34:10 time: 0.3452 data_time: 0.0478 memory: 9706 grad_norm: 1.0501 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.4863 loss: 0.4863 2022/08/05 14:13:04 - mmengine - INFO - Epoch(train) [51][140/314] lr: 1.7898e-01 eta: 5:34:04 time: 0.3460 data_time: 0.0512 memory: 9706 grad_norm: 1.0350 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5177 loss: 0.5177 2022/08/05 14:13:11 - mmengine - INFO - Epoch(train) [51][160/314] lr: 1.7893e-01 eta: 5:33:58 time: 0.3403 data_time: 0.0416 memory: 9706 grad_norm: 1.1009 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5934 loss: 0.5934 2022/08/05 14:13:18 - mmengine - INFO - Epoch(train) [51][180/314] lr: 1.7888e-01 eta: 5:33:52 time: 0.3466 data_time: 0.0453 memory: 9706 grad_norm: 1.1217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5549 loss: 0.5549 2022/08/05 14:13:25 - mmengine - INFO - Epoch(train) [51][200/314] lr: 1.7883e-01 eta: 5:33:46 time: 0.3509 data_time: 0.0480 memory: 9706 grad_norm: 0.9866 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5007 loss: 0.5007 2022/08/05 14:13:32 - mmengine - INFO - Epoch(train) [51][220/314] lr: 1.7878e-01 eta: 5:33:39 time: 0.3395 data_time: 0.0430 memory: 9706 grad_norm: 0.9871 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4957 loss: 0.4957 2022/08/05 14:13:39 - mmengine - INFO - Epoch(train) [51][240/314] lr: 1.7872e-01 eta: 5:33:33 time: 0.3445 data_time: 0.0476 memory: 9706 grad_norm: 1.0617 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5801 loss: 0.5801 2022/08/05 14:13:45 - mmengine - INFO - Epoch(train) [51][260/314] lr: 1.7867e-01 eta: 5:33:27 time: 0.3432 data_time: 0.0520 memory: 9706 grad_norm: 1.0674 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4835 loss: 0.4835 2022/08/05 14:13:52 - mmengine - INFO - Epoch(train) [51][280/314] lr: 1.7862e-01 eta: 5:33:20 time: 0.3416 data_time: 0.0506 memory: 9706 grad_norm: 1.0151 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5440 loss: 0.5440 2022/08/05 14:13:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:13:59 - mmengine - INFO - Epoch(train) [51][300/314] lr: 1.7857e-01 eta: 5:33:15 time: 0.3470 data_time: 0.0485 memory: 9706 grad_norm: 1.0265 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5977 loss: 0.5977 2022/08/05 14:14:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:14:03 - mmengine - INFO - Epoch(train) [51][314/314] lr: 1.7853e-01 eta: 5:33:15 time: 0.2930 data_time: 0.0377 memory: 9706 grad_norm: 1.0880 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.5671 loss: 0.5671 2022/08/05 14:14:03 - mmengine - INFO - Saving checkpoint at 51 epochs 2022/08/05 14:14:15 - mmengine - INFO - Epoch(train) [52][20/314] lr: 1.7848e-01 eta: 5:32:55 time: 0.4688 data_time: 0.1819 memory: 9706 grad_norm: 1.1197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4872 loss: 0.4872 2022/08/05 14:14:21 - mmengine - INFO - Epoch(train) [52][40/314] lr: 1.7843e-01 eta: 5:32:49 time: 0.3377 data_time: 0.0460 memory: 9706 grad_norm: 1.0672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5359 loss: 0.5359 2022/08/05 14:14:28 - mmengine - INFO - Epoch(train) [52][60/314] lr: 1.7838e-01 eta: 5:32:43 time: 0.3513 data_time: 0.0374 memory: 9706 grad_norm: 1.0518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6170 loss: 0.6170 2022/08/05 14:14:35 - mmengine - INFO - Epoch(train) [52][80/314] lr: 1.7833e-01 eta: 5:32:37 time: 0.3449 data_time: 0.0485 memory: 9706 grad_norm: 1.0823 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5222 loss: 0.5222 2022/08/05 14:14:42 - mmengine - INFO - Epoch(train) [52][100/314] lr: 1.7828e-01 eta: 5:32:31 time: 0.3410 data_time: 0.0502 memory: 9706 grad_norm: 1.0189 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4275 loss: 0.4275 2022/08/05 14:14:49 - mmengine - INFO - Epoch(train) [52][120/314] lr: 1.7822e-01 eta: 5:32:25 time: 0.3494 data_time: 0.0408 memory: 9706 grad_norm: 1.0426 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5642 loss: 0.5642 2022/08/05 14:14:56 - mmengine - INFO - Epoch(train) [52][140/314] lr: 1.7817e-01 eta: 5:32:19 time: 0.3451 data_time: 0.0424 memory: 9706 grad_norm: 1.0254 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5273 loss: 0.5273 2022/08/05 14:15:03 - mmengine - INFO - Epoch(train) [52][160/314] lr: 1.7812e-01 eta: 5:32:13 time: 0.3507 data_time: 0.0466 memory: 9706 grad_norm: 1.0498 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5470 loss: 0.5470 2022/08/05 14:15:10 - mmengine - INFO - Epoch(train) [52][180/314] lr: 1.7807e-01 eta: 5:32:06 time: 0.3408 data_time: 0.0432 memory: 9706 grad_norm: 0.9674 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5211 loss: 0.5211 2022/08/05 14:15:17 - mmengine - INFO - Epoch(train) [52][200/314] lr: 1.7802e-01 eta: 5:32:00 time: 0.3448 data_time: 0.0526 memory: 9706 grad_norm: 0.9875 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6054 loss: 0.6054 2022/08/05 14:15:24 - mmengine - INFO - Epoch(train) [52][220/314] lr: 1.7796e-01 eta: 5:31:54 time: 0.3445 data_time: 0.0447 memory: 9706 grad_norm: 1.0415 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5355 loss: 0.5355 2022/08/05 14:15:31 - mmengine - INFO - Epoch(train) [52][240/314] lr: 1.7791e-01 eta: 5:31:48 time: 0.3457 data_time: 0.0579 memory: 9706 grad_norm: 1.0480 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4645 loss: 0.4645 2022/08/05 14:15:38 - mmengine - INFO - Epoch(train) [52][260/314] lr: 1.7786e-01 eta: 5:31:42 time: 0.3521 data_time: 0.0431 memory: 9706 grad_norm: 1.0541 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5553 loss: 0.5553 2022/08/05 14:15:45 - mmengine - INFO - Epoch(train) [52][280/314] lr: 1.7781e-01 eta: 5:31:36 time: 0.3485 data_time: 0.0490 memory: 9706 grad_norm: 1.0286 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4462 loss: 0.4462 2022/08/05 14:15:52 - mmengine - INFO - Epoch(train) [52][300/314] lr: 1.7775e-01 eta: 5:31:30 time: 0.3434 data_time: 0.0631 memory: 9706 grad_norm: 1.0412 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4908 loss: 0.4908 2022/08/05 14:15:55 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:15:55 - mmengine - INFO - Epoch(train) [52][314/314] lr: 1.7772e-01 eta: 5:31:30 time: 0.2926 data_time: 0.0458 memory: 9706 grad_norm: 1.2002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6122 loss: 0.6122 2022/08/05 14:15:55 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/08/05 14:16:07 - mmengine - INFO - Epoch(train) [53][20/314] lr: 1.7766e-01 eta: 5:31:12 time: 0.4776 data_time: 0.2012 memory: 9706 grad_norm: 1.0922 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5192 loss: 0.5192 2022/08/05 14:16:14 - mmengine - INFO - Epoch(train) [53][40/314] lr: 1.7761e-01 eta: 5:31:05 time: 0.3408 data_time: 0.0581 memory: 9706 grad_norm: 1.0257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5718 loss: 0.5718 2022/08/05 14:16:21 - mmengine - INFO - Epoch(train) [53][60/314] lr: 1.7756e-01 eta: 5:30:59 time: 0.3459 data_time: 0.0473 memory: 9706 grad_norm: 1.0391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4520 loss: 0.4520 2022/08/05 14:16:28 - mmengine - INFO - Epoch(train) [53][80/314] lr: 1.7751e-01 eta: 5:30:53 time: 0.3414 data_time: 0.0420 memory: 9706 grad_norm: 1.0266 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5368 loss: 0.5368 2022/08/05 14:16:35 - mmengine - INFO - Epoch(train) [53][100/314] lr: 1.7745e-01 eta: 5:30:47 time: 0.3451 data_time: 0.0423 memory: 9706 grad_norm: 1.0918 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5287 loss: 0.5287 2022/08/05 14:16:42 - mmengine - INFO - Epoch(train) [53][120/314] lr: 1.7740e-01 eta: 5:30:40 time: 0.3410 data_time: 0.0431 memory: 9706 grad_norm: 1.0447 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5599 loss: 0.5599 2022/08/05 14:16:49 - mmengine - INFO - Epoch(train) [53][140/314] lr: 1.7735e-01 eta: 5:30:34 time: 0.3463 data_time: 0.0451 memory: 9706 grad_norm: 1.0004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5800 loss: 0.5800 2022/08/05 14:16:56 - mmengine - INFO - Epoch(train) [53][160/314] lr: 1.7730e-01 eta: 5:30:29 time: 0.3527 data_time: 0.0405 memory: 9706 grad_norm: 1.0379 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4315 loss: 0.4315 2022/08/05 14:17:03 - mmengine - INFO - Epoch(train) [53][180/314] lr: 1.7724e-01 eta: 5:30:22 time: 0.3435 data_time: 0.0419 memory: 9706 grad_norm: 1.0622 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5089 loss: 0.5089 2022/08/05 14:17:09 - mmengine - INFO - Epoch(train) [53][200/314] lr: 1.7719e-01 eta: 5:30:16 time: 0.3425 data_time: 0.0412 memory: 9706 grad_norm: 1.0609 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5611 loss: 0.5611 2022/08/05 14:17:16 - mmengine - INFO - Epoch(train) [53][220/314] lr: 1.7714e-01 eta: 5:30:10 time: 0.3429 data_time: 0.0496 memory: 9706 grad_norm: 1.0173 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5536 loss: 0.5536 2022/08/05 14:17:23 - mmengine - INFO - Epoch(train) [53][240/314] lr: 1.7708e-01 eta: 5:30:03 time: 0.3417 data_time: 0.0424 memory: 9706 grad_norm: 0.9554 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4781 loss: 0.4781 2022/08/05 14:17:30 - mmengine - INFO - Epoch(train) [53][260/314] lr: 1.7703e-01 eta: 5:29:57 time: 0.3407 data_time: 0.0425 memory: 9706 grad_norm: 0.9999 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5079 loss: 0.5079 2022/08/05 14:17:37 - mmengine - INFO - Epoch(train) [53][280/314] lr: 1.7698e-01 eta: 5:29:52 time: 0.3569 data_time: 0.0466 memory: 9706 grad_norm: 1.0399 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5876 loss: 0.5876 2022/08/05 14:17:44 - mmengine - INFO - Epoch(train) [53][300/314] lr: 1.7692e-01 eta: 5:29:45 time: 0.3387 data_time: 0.0407 memory: 9706 grad_norm: 1.1124 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6657 loss: 0.6657 2022/08/05 14:17:48 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:17:48 - mmengine - INFO - Epoch(train) [53][314/314] lr: 1.7689e-01 eta: 5:29:45 time: 0.2936 data_time: 0.0357 memory: 9706 grad_norm: 1.0938 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4809 loss: 0.4809 2022/08/05 14:17:48 - mmengine - INFO - Saving checkpoint at 53 epochs 2022/08/05 14:18:00 - mmengine - INFO - Epoch(train) [54][20/314] lr: 1.7683e-01 eta: 5:29:28 time: 0.4870 data_time: 0.2125 memory: 9706 grad_norm: 1.0725 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4417 loss: 0.4417 2022/08/05 14:18:07 - mmengine - INFO - Epoch(train) [54][40/314] lr: 1.7678e-01 eta: 5:29:21 time: 0.3447 data_time: 0.0438 memory: 9706 grad_norm: 1.0370 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5772 loss: 0.5772 2022/08/05 14:18:14 - mmengine - INFO - Epoch(train) [54][60/314] lr: 1.7673e-01 eta: 5:29:15 time: 0.3431 data_time: 0.0387 memory: 9706 grad_norm: 0.9873 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4104 loss: 0.4104 2022/08/05 14:18:21 - mmengine - INFO - Epoch(train) [54][80/314] lr: 1.7667e-01 eta: 5:29:09 time: 0.3414 data_time: 0.0509 memory: 9706 grad_norm: 1.0360 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5401 loss: 0.5401 2022/08/05 14:18:27 - mmengine - INFO - Epoch(train) [54][100/314] lr: 1.7662e-01 eta: 5:29:02 time: 0.3376 data_time: 0.0438 memory: 9706 grad_norm: 1.0176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4624 loss: 0.4624 2022/08/05 14:18:34 - mmengine - INFO - Epoch(train) [54][120/314] lr: 1.7657e-01 eta: 5:28:56 time: 0.3488 data_time: 0.0437 memory: 9706 grad_norm: 1.0754 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4775 loss: 0.4775 2022/08/05 14:18:41 - mmengine - INFO - Epoch(train) [54][140/314] lr: 1.7651e-01 eta: 5:28:50 time: 0.3394 data_time: 0.0431 memory: 9706 grad_norm: 1.0182 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5428 loss: 0.5428 2022/08/05 14:18:48 - mmengine - INFO - Epoch(train) [54][160/314] lr: 1.7646e-01 eta: 5:28:43 time: 0.3448 data_time: 0.0497 memory: 9706 grad_norm: 1.0368 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5430 loss: 0.5430 2022/08/05 14:18:55 - mmengine - INFO - Epoch(train) [54][180/314] lr: 1.7640e-01 eta: 5:28:37 time: 0.3376 data_time: 0.0413 memory: 9706 grad_norm: 1.0868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6416 loss: 0.6416 2022/08/05 14:19:02 - mmengine - INFO - Epoch(train) [54][200/314] lr: 1.7635e-01 eta: 5:28:30 time: 0.3417 data_time: 0.0431 memory: 9706 grad_norm: 1.0795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4055 loss: 0.4055 2022/08/05 14:19:08 - mmengine - INFO - Epoch(train) [54][220/314] lr: 1.7630e-01 eta: 5:28:24 time: 0.3467 data_time: 0.0448 memory: 9706 grad_norm: 1.0013 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5016 loss: 0.5016 2022/08/05 14:19:15 - mmengine - INFO - Epoch(train) [54][240/314] lr: 1.7624e-01 eta: 5:28:18 time: 0.3429 data_time: 0.0444 memory: 9706 grad_norm: 1.0160 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4061 loss: 0.4061 2022/08/05 14:19:22 - mmengine - INFO - Epoch(train) [54][260/314] lr: 1.7619e-01 eta: 5:28:12 time: 0.3420 data_time: 0.0432 memory: 9706 grad_norm: 0.9919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4832 loss: 0.4832 2022/08/05 14:19:29 - mmengine - INFO - Epoch(train) [54][280/314] lr: 1.7614e-01 eta: 5:28:06 time: 0.3485 data_time: 0.0506 memory: 9706 grad_norm: 1.0251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5293 loss: 0.5293 2022/08/05 14:19:36 - mmengine - INFO - Epoch(train) [54][300/314] lr: 1.7608e-01 eta: 5:27:59 time: 0.3376 data_time: 0.0430 memory: 9706 grad_norm: 1.0710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6320 loss: 0.6320 2022/08/05 14:19:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:19:40 - mmengine - INFO - Epoch(train) [54][314/314] lr: 1.7604e-01 eta: 5:27:59 time: 0.2908 data_time: 0.0410 memory: 9706 grad_norm: 1.0519 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5321 loss: 0.5321 2022/08/05 14:19:40 - mmengine - INFO - Saving checkpoint at 54 epochs 2022/08/05 14:19:52 - mmengine - INFO - Epoch(train) [55][20/314] lr: 1.7599e-01 eta: 5:27:40 time: 0.4634 data_time: 0.1764 memory: 9706 grad_norm: 1.0700 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5285 loss: 0.5285 2022/08/05 14:19:59 - mmengine - INFO - Epoch(train) [55][40/314] lr: 1.7593e-01 eta: 5:27:34 time: 0.3466 data_time: 0.0388 memory: 9706 grad_norm: 1.0259 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5705 loss: 0.5705 2022/08/05 14:20:00 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:20:06 - mmengine - INFO - Epoch(train) [55][60/314] lr: 1.7588e-01 eta: 5:27:28 time: 0.3454 data_time: 0.0452 memory: 9706 grad_norm: 1.0104 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5031 loss: 0.5031 2022/08/05 14:20:13 - mmengine - INFO - Epoch(train) [55][80/314] lr: 1.7583e-01 eta: 5:27:22 time: 0.3509 data_time: 0.0392 memory: 9706 grad_norm: 1.0446 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4998 loss: 0.4998 2022/08/05 14:20:20 - mmengine - INFO - Epoch(train) [55][100/314] lr: 1.7577e-01 eta: 5:27:16 time: 0.3474 data_time: 0.0446 memory: 9706 grad_norm: 1.1116 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5797 loss: 0.5797 2022/08/05 14:20:26 - mmengine - INFO - Epoch(train) [55][120/314] lr: 1.7572e-01 eta: 5:27:09 time: 0.3364 data_time: 0.0415 memory: 9706 grad_norm: 1.0586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5373 loss: 0.5373 2022/08/05 14:20:33 - mmengine - INFO - Epoch(train) [55][140/314] lr: 1.7566e-01 eta: 5:27:03 time: 0.3430 data_time: 0.0442 memory: 9706 grad_norm: 1.0184 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4990 loss: 0.4990 2022/08/05 14:20:40 - mmengine - INFO - Epoch(train) [55][160/314] lr: 1.7561e-01 eta: 5:26:57 time: 0.3489 data_time: 0.0413 memory: 9706 grad_norm: 1.0555 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5902 loss: 0.5902 2022/08/05 14:20:47 - mmengine - INFO - Epoch(train) [55][180/314] lr: 1.7555e-01 eta: 5:26:51 time: 0.3447 data_time: 0.0425 memory: 9706 grad_norm: 1.0026 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4076 loss: 0.4076 2022/08/05 14:20:54 - mmengine - INFO - Epoch(train) [55][200/314] lr: 1.7550e-01 eta: 5:26:45 time: 0.3498 data_time: 0.0436 memory: 9706 grad_norm: 0.9911 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5347 loss: 0.5347 2022/08/05 14:21:01 - mmengine - INFO - Epoch(train) [55][220/314] lr: 1.7544e-01 eta: 5:26:38 time: 0.3367 data_time: 0.0390 memory: 9706 grad_norm: 1.0362 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5772 loss: 0.5772 2022/08/05 14:21:08 - mmengine - INFO - Epoch(train) [55][240/314] lr: 1.7539e-01 eta: 5:26:32 time: 0.3447 data_time: 0.0411 memory: 9706 grad_norm: 1.0373 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4879 loss: 0.4879 2022/08/05 14:21:15 - mmengine - INFO - Epoch(train) [55][260/314] lr: 1.7533e-01 eta: 5:26:26 time: 0.3461 data_time: 0.0501 memory: 9706 grad_norm: 1.1052 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5329 loss: 0.5329 2022/08/05 14:21:21 - mmengine - INFO - Epoch(train) [55][280/314] lr: 1.7528e-01 eta: 5:26:19 time: 0.3413 data_time: 0.0462 memory: 9706 grad_norm: 1.1091 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5586 loss: 0.5586 2022/08/05 14:21:28 - mmengine - INFO - Epoch(train) [55][300/314] lr: 1.7523e-01 eta: 5:26:13 time: 0.3385 data_time: 0.0430 memory: 9706 grad_norm: 1.0306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5241 loss: 0.5241 2022/08/05 14:21:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:21:32 - mmengine - INFO - Epoch(train) [55][314/314] lr: 1.7519e-01 eta: 5:26:13 time: 0.2897 data_time: 0.0372 memory: 9706 grad_norm: 1.0801 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4934 loss: 0.4934 2022/08/05 14:21:32 - mmengine - INFO - Saving checkpoint at 55 epochs 2022/08/05 14:21:44 - mmengine - INFO - Epoch(train) [56][20/314] lr: 1.7513e-01 eta: 5:25:55 time: 0.4797 data_time: 0.2004 memory: 9706 grad_norm: 1.1493 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4312 loss: 0.4312 2022/08/05 14:21:51 - mmengine - INFO - Epoch(train) [56][40/314] lr: 1.7508e-01 eta: 5:25:49 time: 0.3404 data_time: 0.0496 memory: 9706 grad_norm: 1.0650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4852 loss: 0.4852 2022/08/05 14:21:58 - mmengine - INFO - Epoch(train) [56][60/314] lr: 1.7502e-01 eta: 5:25:42 time: 0.3449 data_time: 0.0388 memory: 9706 grad_norm: 1.0478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4819 loss: 0.4819 2022/08/05 14:22:05 - mmengine - INFO - Epoch(train) [56][80/314] lr: 1.7497e-01 eta: 5:25:37 time: 0.3598 data_time: 0.0450 memory: 9706 grad_norm: 1.0576 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5150 loss: 0.5150 2022/08/05 14:22:12 - mmengine - INFO - Epoch(train) [56][100/314] lr: 1.7491e-01 eta: 5:25:31 time: 0.3477 data_time: 0.0420 memory: 9706 grad_norm: 0.9873 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.4599 loss: 0.4599 2022/08/05 14:22:19 - mmengine - INFO - Epoch(train) [56][120/314] lr: 1.7486e-01 eta: 5:25:25 time: 0.3408 data_time: 0.0500 memory: 9706 grad_norm: 1.0525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3634 loss: 0.3634 2022/08/05 14:22:26 - mmengine - INFO - Epoch(train) [56][140/314] lr: 1.7480e-01 eta: 5:25:18 time: 0.3412 data_time: 0.0403 memory: 9706 grad_norm: 1.0416 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4831 loss: 0.4831 2022/08/05 14:22:33 - mmengine - INFO - Epoch(train) [56][160/314] lr: 1.7475e-01 eta: 5:25:12 time: 0.3434 data_time: 0.0434 memory: 9706 grad_norm: 1.0101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4767 loss: 0.4767 2022/08/05 14:22:39 - mmengine - INFO - Epoch(train) [56][180/314] lr: 1.7469e-01 eta: 5:25:06 time: 0.3398 data_time: 0.0436 memory: 9706 grad_norm: 1.0659 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4279 loss: 0.4279 2022/08/05 14:22:46 - mmengine - INFO - Epoch(train) [56][200/314] lr: 1.7463e-01 eta: 5:25:00 time: 0.3520 data_time: 0.0436 memory: 9706 grad_norm: 1.0350 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5715 loss: 0.5715 2022/08/05 14:22:53 - mmengine - INFO - Epoch(train) [56][220/314] lr: 1.7458e-01 eta: 5:24:54 time: 0.3447 data_time: 0.0479 memory: 9706 grad_norm: 1.0071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3910 loss: 0.3910 2022/08/05 14:23:00 - mmengine - INFO - Epoch(train) [56][240/314] lr: 1.7452e-01 eta: 5:24:47 time: 0.3394 data_time: 0.0446 memory: 9706 grad_norm: 1.0696 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5733 loss: 0.5733 2022/08/05 14:23:07 - mmengine - INFO - Epoch(train) [56][260/314] lr: 1.7447e-01 eta: 5:24:41 time: 0.3476 data_time: 0.0493 memory: 9706 grad_norm: 1.0519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4633 loss: 0.4633 2022/08/05 14:23:14 - mmengine - INFO - Epoch(train) [56][280/314] lr: 1.7441e-01 eta: 5:24:34 time: 0.3375 data_time: 0.0467 memory: 9706 grad_norm: 1.0685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5430 loss: 0.5430 2022/08/05 14:23:21 - mmengine - INFO - Epoch(train) [56][300/314] lr: 1.7436e-01 eta: 5:24:28 time: 0.3435 data_time: 0.0459 memory: 9706 grad_norm: 1.1227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5013 loss: 0.5013 2022/08/05 14:23:25 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:23:25 - mmengine - INFO - Epoch(train) [56][314/314] lr: 1.7432e-01 eta: 5:24:28 time: 0.3136 data_time: 0.0359 memory: 9706 grad_norm: 1.1396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.5118 loss: 0.5118 2022/08/05 14:23:25 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/08/05 14:23:36 - mmengine - INFO - Epoch(train) [57][20/314] lr: 1.7426e-01 eta: 5:24:08 time: 0.4502 data_time: 0.1805 memory: 9706 grad_norm: 1.0758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4892 loss: 0.4892 2022/08/05 14:23:43 - mmengine - INFO - Epoch(train) [57][40/314] lr: 1.7421e-01 eta: 5:24:02 time: 0.3412 data_time: 0.0428 memory: 9706 grad_norm: 0.9826 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.4058 loss: 0.4058 2022/08/05 14:23:50 - mmengine - INFO - Epoch(train) [57][60/314] lr: 1.7415e-01 eta: 5:23:56 time: 0.3458 data_time: 0.0397 memory: 9706 grad_norm: 1.0385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4850 loss: 0.4850 2022/08/05 14:23:57 - mmengine - INFO - Epoch(train) [57][80/314] lr: 1.7409e-01 eta: 5:23:50 time: 0.3445 data_time: 0.0412 memory: 9706 grad_norm: 1.0268 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5258 loss: 0.5258 2022/08/05 14:24:04 - mmengine - INFO - Epoch(train) [57][100/314] lr: 1.7404e-01 eta: 5:23:43 time: 0.3430 data_time: 0.0403 memory: 9706 grad_norm: 1.0271 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5898 loss: 0.5898 2022/08/05 14:24:11 - mmengine - INFO - Epoch(train) [57][120/314] lr: 1.7398e-01 eta: 5:23:37 time: 0.3445 data_time: 0.0434 memory: 9706 grad_norm: 1.0333 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5253 loss: 0.5253 2022/08/05 14:24:18 - mmengine - INFO - Epoch(train) [57][140/314] lr: 1.7393e-01 eta: 5:23:30 time: 0.3346 data_time: 0.0431 memory: 9706 grad_norm: 1.0233 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5257 loss: 0.5257 2022/08/05 14:24:24 - mmengine - INFO - Epoch(train) [57][160/314] lr: 1.7387e-01 eta: 5:23:24 time: 0.3452 data_time: 0.0486 memory: 9706 grad_norm: 1.0220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4957 loss: 0.4957 2022/08/05 14:24:31 - mmengine - INFO - Epoch(train) [57][180/314] lr: 1.7381e-01 eta: 5:23:18 time: 0.3505 data_time: 0.0560 memory: 9706 grad_norm: 1.0725 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5103 loss: 0.5103 2022/08/05 14:24:38 - mmengine - INFO - Epoch(train) [57][200/314] lr: 1.7376e-01 eta: 5:23:11 time: 0.3369 data_time: 0.0475 memory: 9706 grad_norm: 1.0532 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5097 loss: 0.5097 2022/08/05 14:24:45 - mmengine - INFO - Epoch(train) [57][220/314] lr: 1.7370e-01 eta: 5:23:05 time: 0.3472 data_time: 0.0487 memory: 9706 grad_norm: 1.0534 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5864 loss: 0.5864 2022/08/05 14:24:52 - mmengine - INFO - Epoch(train) [57][240/314] lr: 1.7364e-01 eta: 5:22:59 time: 0.3417 data_time: 0.0572 memory: 9706 grad_norm: 0.9828 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4321 loss: 0.4321 2022/08/05 14:24:59 - mmengine - INFO - Epoch(train) [57][260/314] lr: 1.7359e-01 eta: 5:22:53 time: 0.3523 data_time: 0.0405 memory: 9706 grad_norm: 0.9904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5450 loss: 0.5450 2022/08/05 14:25:06 - mmengine - INFO - Epoch(train) [57][280/314] lr: 1.7353e-01 eta: 5:22:47 time: 0.3434 data_time: 0.0457 memory: 9706 grad_norm: 1.0354 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4889 loss: 0.4889 2022/08/05 14:25:13 - mmengine - INFO - Epoch(train) [57][300/314] lr: 1.7347e-01 eta: 5:22:40 time: 0.3394 data_time: 0.0468 memory: 9706 grad_norm: 1.0672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5369 loss: 0.5369 2022/08/05 14:25:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:25:17 - mmengine - INFO - Epoch(train) [57][314/314] lr: 1.7344e-01 eta: 5:22:40 time: 0.2945 data_time: 0.0396 memory: 9706 grad_norm: 1.1286 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.5744 loss: 0.5744 2022/08/05 14:25:17 - mmengine - INFO - Saving checkpoint at 57 epochs 2022/08/05 14:25:28 - mmengine - INFO - Epoch(train) [58][20/314] lr: 1.7338e-01 eta: 5:22:22 time: 0.4598 data_time: 0.1813 memory: 9706 grad_norm: 1.1295 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6252 loss: 0.6252 2022/08/05 14:25:36 - mmengine - INFO - Epoch(train) [58][40/314] lr: 1.7332e-01 eta: 5:22:16 time: 0.3564 data_time: 0.0517 memory: 9706 grad_norm: 1.0795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4593 loss: 0.4593 2022/08/05 14:25:42 - mmengine - INFO - Epoch(train) [58][60/314] lr: 1.7327e-01 eta: 5:22:10 time: 0.3405 data_time: 0.0413 memory: 9706 grad_norm: 1.0573 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4823 loss: 0.4823 2022/08/05 14:25:49 - mmengine - INFO - Epoch(train) [58][80/314] lr: 1.7321e-01 eta: 5:22:04 time: 0.3481 data_time: 0.0463 memory: 9706 grad_norm: 1.1134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4459 loss: 0.4459 2022/08/05 14:25:56 - mmengine - INFO - Epoch(train) [58][100/314] lr: 1.7315e-01 eta: 5:21:58 time: 0.3465 data_time: 0.0533 memory: 9706 grad_norm: 1.0713 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5433 loss: 0.5433 2022/08/05 14:25:57 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:26:03 - mmengine - INFO - Epoch(train) [58][120/314] lr: 1.7309e-01 eta: 5:21:51 time: 0.3433 data_time: 0.0403 memory: 9706 grad_norm: 1.0462 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4861 loss: 0.4861 2022/08/05 14:26:10 - mmengine - INFO - Epoch(train) [58][140/314] lr: 1.7304e-01 eta: 5:21:45 time: 0.3426 data_time: 0.0449 memory: 9706 grad_norm: 1.1124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6234 loss: 0.6234 2022/08/05 14:26:17 - mmengine - INFO - Epoch(train) [58][160/314] lr: 1.7298e-01 eta: 5:21:39 time: 0.3486 data_time: 0.0455 memory: 9706 grad_norm: 1.1017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4695 loss: 0.4695 2022/08/05 14:26:24 - mmengine - INFO - Epoch(train) [58][180/314] lr: 1.7292e-01 eta: 5:21:32 time: 0.3394 data_time: 0.0432 memory: 9706 grad_norm: 1.0555 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4650 loss: 0.4650 2022/08/05 14:26:31 - mmengine - INFO - Epoch(train) [58][200/314] lr: 1.7287e-01 eta: 5:21:26 time: 0.3450 data_time: 0.0437 memory: 9706 grad_norm: 1.0369 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5487 loss: 0.5487 2022/08/05 14:26:38 - mmengine - INFO - Epoch(train) [58][220/314] lr: 1.7281e-01 eta: 5:21:20 time: 0.3457 data_time: 0.0470 memory: 9706 grad_norm: 1.0861 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5444 loss: 0.5444 2022/08/05 14:26:44 - mmengine - INFO - Epoch(train) [58][240/314] lr: 1.7275e-01 eta: 5:21:14 time: 0.3438 data_time: 0.0518 memory: 9706 grad_norm: 1.0581 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5324 loss: 0.5324 2022/08/05 14:26:51 - mmengine - INFO - Epoch(train) [58][260/314] lr: 1.7270e-01 eta: 5:21:07 time: 0.3431 data_time: 0.0375 memory: 9706 grad_norm: 1.0458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5026 loss: 0.5026 2022/08/05 14:26:58 - mmengine - INFO - Epoch(train) [58][280/314] lr: 1.7264e-01 eta: 5:21:01 time: 0.3449 data_time: 0.0434 memory: 9706 grad_norm: 1.0488 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4384 loss: 0.4384 2022/08/05 14:27:05 - mmengine - INFO - Epoch(train) [58][300/314] lr: 1.7258e-01 eta: 5:20:55 time: 0.3471 data_time: 0.0492 memory: 9706 grad_norm: 1.0088 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5084 loss: 0.5084 2022/08/05 14:27:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:27:09 - mmengine - INFO - Epoch(train) [58][314/314] lr: 1.7254e-01 eta: 5:20:55 time: 0.2947 data_time: 0.0380 memory: 9706 grad_norm: 1.1162 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5000 loss: 0.5000 2022/08/05 14:27:09 - mmengine - INFO - Saving checkpoint at 58 epochs 2022/08/05 14:27:21 - mmengine - INFO - Epoch(train) [59][20/314] lr: 1.7248e-01 eta: 5:20:37 time: 0.4648 data_time: 0.1860 memory: 9706 grad_norm: 1.0350 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4254 loss: 0.4254 2022/08/05 14:27:28 - mmengine - INFO - Epoch(train) [59][40/314] lr: 1.7243e-01 eta: 5:20:30 time: 0.3376 data_time: 0.0467 memory: 9706 grad_norm: 1.0453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4882 loss: 0.4882 2022/08/05 14:27:34 - mmengine - INFO - Epoch(train) [59][60/314] lr: 1.7237e-01 eta: 5:20:24 time: 0.3399 data_time: 0.0433 memory: 9706 grad_norm: 0.9921 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4674 loss: 0.4674 2022/08/05 14:27:41 - mmengine - INFO - Epoch(train) [59][80/314] lr: 1.7231e-01 eta: 5:20:17 time: 0.3469 data_time: 0.0451 memory: 9706 grad_norm: 1.0227 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.4934 loss: 0.4934 2022/08/05 14:27:48 - mmengine - INFO - Epoch(train) [59][100/314] lr: 1.7225e-01 eta: 5:20:11 time: 0.3476 data_time: 0.0496 memory: 9706 grad_norm: 1.1677 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.5546 loss: 0.5546 2022/08/05 14:27:55 - mmengine - INFO - Epoch(train) [59][120/314] lr: 1.7220e-01 eta: 5:20:05 time: 0.3425 data_time: 0.0429 memory: 9706 grad_norm: 1.1101 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5417 loss: 0.5417 2022/08/05 14:28:02 - mmengine - INFO - Epoch(train) [59][140/314] lr: 1.7214e-01 eta: 5:19:59 time: 0.3501 data_time: 0.0468 memory: 9706 grad_norm: 1.0439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4401 loss: 0.4401 2022/08/05 14:28:09 - mmengine - INFO - Epoch(train) [59][160/314] lr: 1.7208e-01 eta: 5:19:53 time: 0.3478 data_time: 0.0421 memory: 9706 grad_norm: 1.0077 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4989 loss: 0.4989 2022/08/05 14:28:16 - mmengine - INFO - Epoch(train) [59][180/314] lr: 1.7202e-01 eta: 5:19:47 time: 0.3447 data_time: 0.0429 memory: 9706 grad_norm: 1.0073 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4518 loss: 0.4518 2022/08/05 14:28:23 - mmengine - INFO - Epoch(train) [59][200/314] lr: 1.7196e-01 eta: 5:19:41 time: 0.3448 data_time: 0.0419 memory: 9706 grad_norm: 1.0405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4905 loss: 0.4905 2022/08/05 14:28:30 - mmengine - INFO - Epoch(train) [59][220/314] lr: 1.7191e-01 eta: 5:19:34 time: 0.3465 data_time: 0.0461 memory: 9706 grad_norm: 1.0868 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4884 loss: 0.4884 2022/08/05 14:28:37 - mmengine - INFO - Epoch(train) [59][240/314] lr: 1.7185e-01 eta: 5:19:28 time: 0.3462 data_time: 0.0423 memory: 9706 grad_norm: 1.0553 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4766 loss: 0.4766 2022/08/05 14:28:43 - mmengine - INFO - Epoch(train) [59][260/314] lr: 1.7179e-01 eta: 5:19:22 time: 0.3398 data_time: 0.0432 memory: 9706 grad_norm: 1.0503 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5493 loss: 0.5493 2022/08/05 14:28:50 - mmengine - INFO - Epoch(train) [59][280/314] lr: 1.7173e-01 eta: 5:19:15 time: 0.3449 data_time: 0.0511 memory: 9706 grad_norm: 1.0307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4598 loss: 0.4598 2022/08/05 14:28:57 - mmengine - INFO - Epoch(train) [59][300/314] lr: 1.7167e-01 eta: 5:19:09 time: 0.3408 data_time: 0.0420 memory: 9706 grad_norm: 1.0124 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4664 loss: 0.4664 2022/08/05 14:29:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:29:01 - mmengine - INFO - Epoch(train) [59][314/314] lr: 1.7163e-01 eta: 5:19:09 time: 0.2899 data_time: 0.0362 memory: 9706 grad_norm: 1.1396 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4551 loss: 0.4551 2022/08/05 14:29:01 - mmengine - INFO - Saving checkpoint at 59 epochs 2022/08/05 14:29:13 - mmengine - INFO - Epoch(train) [60][20/314] lr: 1.7157e-01 eta: 5:18:51 time: 0.4609 data_time: 0.1889 memory: 9706 grad_norm: 1.0820 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4921 loss: 0.4921 2022/08/05 14:29:20 - mmengine - INFO - Epoch(train) [60][40/314] lr: 1.7152e-01 eta: 5:18:44 time: 0.3412 data_time: 0.0453 memory: 9706 grad_norm: 1.0686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4593 loss: 0.4593 2022/08/05 14:29:26 - mmengine - INFO - Epoch(train) [60][60/314] lr: 1.7146e-01 eta: 5:18:38 time: 0.3385 data_time: 0.0527 memory: 9706 grad_norm: 1.0316 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4753 loss: 0.4753 2022/08/05 14:29:33 - mmengine - INFO - Epoch(train) [60][80/314] lr: 1.7140e-01 eta: 5:18:31 time: 0.3459 data_time: 0.0560 memory: 9706 grad_norm: 1.0201 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4829 loss: 0.4829 2022/08/05 14:29:40 - mmengine - INFO - Epoch(train) [60][100/314] lr: 1.7134e-01 eta: 5:18:25 time: 0.3459 data_time: 0.0519 memory: 9706 grad_norm: 1.0435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5410 loss: 0.5410 2022/08/05 14:29:47 - mmengine - INFO - Epoch(train) [60][120/314] lr: 1.7128e-01 eta: 5:18:19 time: 0.3436 data_time: 0.0415 memory: 9706 grad_norm: 1.0260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4951 loss: 0.4951 2022/08/05 14:29:54 - mmengine - INFO - Epoch(train) [60][140/314] lr: 1.7122e-01 eta: 5:18:13 time: 0.3445 data_time: 0.0465 memory: 9706 grad_norm: 1.0559 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5096 loss: 0.5096 2022/08/05 14:30:01 - mmengine - INFO - Epoch(train) [60][160/314] lr: 1.7117e-01 eta: 5:18:06 time: 0.3467 data_time: 0.0434 memory: 9706 grad_norm: 1.0397 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4880 loss: 0.4880 2022/08/05 14:30:08 - mmengine - INFO - Epoch(train) [60][180/314] lr: 1.7111e-01 eta: 5:18:01 time: 0.3492 data_time: 0.0399 memory: 9706 grad_norm: 1.0156 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4743 loss: 0.4743 2022/08/05 14:30:15 - mmengine - INFO - Epoch(train) [60][200/314] lr: 1.7105e-01 eta: 5:17:54 time: 0.3398 data_time: 0.0412 memory: 9706 grad_norm: 1.0617 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4357 loss: 0.4357 2022/08/05 14:30:22 - mmengine - INFO - Epoch(train) [60][220/314] lr: 1.7099e-01 eta: 5:17:48 time: 0.3461 data_time: 0.0494 memory: 9706 grad_norm: 1.0191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4499 loss: 0.4499 2022/08/05 14:30:29 - mmengine - INFO - Epoch(train) [60][240/314] lr: 1.7093e-01 eta: 5:17:41 time: 0.3440 data_time: 0.0478 memory: 9706 grad_norm: 1.1324 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.4708 loss: 0.4708 2022/08/05 14:30:36 - mmengine - INFO - Epoch(train) [60][260/314] lr: 1.7087e-01 eta: 5:17:35 time: 0.3470 data_time: 0.0464 memory: 9706 grad_norm: 1.1342 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4902 loss: 0.4902 2022/08/05 14:30:42 - mmengine - INFO - Epoch(train) [60][280/314] lr: 1.7081e-01 eta: 5:17:29 time: 0.3445 data_time: 0.0420 memory: 9706 grad_norm: 1.0144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5389 loss: 0.5389 2022/08/05 14:30:49 - mmengine - INFO - Epoch(train) [60][300/314] lr: 1.7075e-01 eta: 5:17:22 time: 0.3390 data_time: 0.0410 memory: 9706 grad_norm: 1.0623 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5119 loss: 0.5119 2022/08/05 14:30:53 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:30:53 - mmengine - INFO - Epoch(train) [60][314/314] lr: 1.7071e-01 eta: 5:17:22 time: 0.2932 data_time: 0.0376 memory: 9706 grad_norm: 1.0752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4858 loss: 0.4858 2022/08/05 14:30:53 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/05 14:31:06 - mmengine - INFO - Epoch(val) [60][20/129] eta: 0:00:52 time: 0.4776 data_time: 0.2897 memory: 1867 2022/08/05 14:31:12 - mmengine - INFO - Epoch(val) [60][40/129] eta: 0:00:27 time: 0.3063 data_time: 0.1324 memory: 1867 2022/08/05 14:31:19 - mmengine - INFO - Epoch(val) [60][60/129] eta: 0:00:24 time: 0.3548 data_time: 0.1748 memory: 1867 2022/08/05 14:31:25 - mmengine - INFO - Epoch(val) [60][80/129] eta: 0:00:15 time: 0.3261 data_time: 0.1406 memory: 1867 2022/08/05 14:31:32 - mmengine - INFO - Epoch(val) [60][100/129] eta: 0:00:10 time: 0.3508 data_time: 0.1651 memory: 1867 2022/08/05 14:31:38 - mmengine - INFO - Epoch(val) [60][120/129] eta: 0:00:02 time: 0.2570 data_time: 0.0885 memory: 1867 2022/08/05 14:31:39 - mmengine - INFO - Epoch(val) [60][129/129] acc/top1: 0.8099 acc/top5: 0.9791 acc/mean1: 0.8095 2022/08/05 14:31:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_51.pth is removed 2022/08/05 14:31:42 - mmengine - INFO - The best checkpoint with 0.8099 acc/top1 at 61 epoch is saved to best_acc/top1_epoch_61.pth. 2022/08/05 14:31:51 - mmengine - INFO - Epoch(train) [61][20/314] lr: 1.7065e-01 eta: 5:17:04 time: 0.4568 data_time: 0.1769 memory: 9706 grad_norm: 1.0841 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5664 loss: 0.5664 2022/08/05 14:31:58 - mmengine - INFO - Epoch(train) [61][40/314] lr: 1.7060e-01 eta: 5:16:58 time: 0.3498 data_time: 0.0468 memory: 9706 grad_norm: 1.0015 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4790 loss: 0.4790 2022/08/05 14:32:05 - mmengine - INFO - Epoch(train) [61][60/314] lr: 1.7054e-01 eta: 5:16:52 time: 0.3474 data_time: 0.0419 memory: 9706 grad_norm: 1.0011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4584 loss: 0.4584 2022/08/05 14:32:12 - mmengine - INFO - Epoch(train) [61][80/314] lr: 1.7048e-01 eta: 5:16:46 time: 0.3454 data_time: 0.0490 memory: 9706 grad_norm: 1.0297 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4240 loss: 0.4240 2022/08/05 14:32:19 - mmengine - INFO - Epoch(train) [61][100/314] lr: 1.7042e-01 eta: 5:16:40 time: 0.3528 data_time: 0.0444 memory: 9706 grad_norm: 0.9972 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3795 loss: 0.3795 2022/08/05 14:32:26 - mmengine - INFO - Epoch(train) [61][120/314] lr: 1.7036e-01 eta: 5:16:34 time: 0.3469 data_time: 0.0438 memory: 9706 grad_norm: 1.0341 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4556 loss: 0.4556 2022/08/05 14:32:33 - mmengine - INFO - Epoch(train) [61][140/314] lr: 1.7030e-01 eta: 5:16:27 time: 0.3417 data_time: 0.0484 memory: 9706 grad_norm: 1.0398 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5356 loss: 0.5356 2022/08/05 14:32:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:32:40 - mmengine - INFO - Epoch(train) [61][160/314] lr: 1.7024e-01 eta: 5:16:21 time: 0.3476 data_time: 0.0519 memory: 9706 grad_norm: 1.0692 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5032 loss: 0.5032 2022/08/05 14:32:47 - mmengine - INFO - Epoch(train) [61][180/314] lr: 1.7018e-01 eta: 5:16:15 time: 0.3433 data_time: 0.0394 memory: 9706 grad_norm: 1.0856 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4474 loss: 0.4474 2022/08/05 14:32:54 - mmengine - INFO - Epoch(train) [61][200/314] lr: 1.7012e-01 eta: 5:16:09 time: 0.3492 data_time: 0.0410 memory: 9706 grad_norm: 1.1272 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4795 loss: 0.4795 2022/08/05 14:33:00 - mmengine - INFO - Epoch(train) [61][220/314] lr: 1.7006e-01 eta: 5:16:02 time: 0.3402 data_time: 0.0397 memory: 9706 grad_norm: 0.9772 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5355 loss: 0.5355 2022/08/05 14:33:07 - mmengine - INFO - Epoch(train) [61][240/314] lr: 1.7000e-01 eta: 5:15:57 time: 0.3526 data_time: 0.0439 memory: 9706 grad_norm: 1.0324 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5609 loss: 0.5609 2022/08/05 14:33:14 - mmengine - INFO - Epoch(train) [61][260/314] lr: 1.6994e-01 eta: 5:15:50 time: 0.3412 data_time: 0.0428 memory: 9706 grad_norm: 1.0605 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5970 loss: 0.5970 2022/08/05 14:33:21 - mmengine - INFO - Epoch(train) [61][280/314] lr: 1.6988e-01 eta: 5:15:44 time: 0.3404 data_time: 0.0456 memory: 9706 grad_norm: 1.0519 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4756 loss: 0.4756 2022/08/05 14:33:28 - mmengine - INFO - Epoch(train) [61][300/314] lr: 1.6982e-01 eta: 5:15:37 time: 0.3403 data_time: 0.0461 memory: 9706 grad_norm: 1.1558 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5179 loss: 0.5179 2022/08/05 14:33:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:33:32 - mmengine - INFO - Epoch(train) [61][314/314] lr: 1.6978e-01 eta: 5:15:37 time: 0.2871 data_time: 0.0371 memory: 9706 grad_norm: 1.1149 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5316 loss: 0.5316 2022/08/05 14:33:32 - mmengine - INFO - Saving checkpoint at 61 epochs 2022/08/05 14:33:44 - mmengine - INFO - Epoch(train) [62][20/314] lr: 1.6972e-01 eta: 5:15:21 time: 0.4864 data_time: 0.2047 memory: 9706 grad_norm: 1.1359 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5663 loss: 0.5663 2022/08/05 14:33:51 - mmengine - INFO - Epoch(train) [62][40/314] lr: 1.6966e-01 eta: 5:15:14 time: 0.3400 data_time: 0.0472 memory: 9706 grad_norm: 1.0830 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5460 loss: 0.5460 2022/08/05 14:33:58 - mmengine - INFO - Epoch(train) [62][60/314] lr: 1.6960e-01 eta: 5:15:08 time: 0.3443 data_time: 0.0476 memory: 9706 grad_norm: 1.0813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5415 loss: 0.5415 2022/08/05 14:34:04 - mmengine - INFO - Epoch(train) [62][80/314] lr: 1.6954e-01 eta: 5:15:01 time: 0.3418 data_time: 0.0429 memory: 9706 grad_norm: 1.1014 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6661 loss: 0.6661 2022/08/05 14:34:11 - mmengine - INFO - Epoch(train) [62][100/314] lr: 1.6948e-01 eta: 5:14:55 time: 0.3504 data_time: 0.0446 memory: 9706 grad_norm: 1.0762 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4864 loss: 0.4864 2022/08/05 14:34:18 - mmengine - INFO - Epoch(train) [62][120/314] lr: 1.6942e-01 eta: 5:14:49 time: 0.3385 data_time: 0.0517 memory: 9706 grad_norm: 1.0510 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5253 loss: 0.5253 2022/08/05 14:34:25 - mmengine - INFO - Epoch(train) [62][140/314] lr: 1.6936e-01 eta: 5:14:43 time: 0.3492 data_time: 0.0469 memory: 9706 grad_norm: 1.0343 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5394 loss: 0.5394 2022/08/05 14:34:32 - mmengine - INFO - Epoch(train) [62][160/314] lr: 1.6930e-01 eta: 5:14:36 time: 0.3451 data_time: 0.0410 memory: 9706 grad_norm: 1.0543 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4934 loss: 0.4934 2022/08/05 14:34:39 - mmengine - INFO - Epoch(train) [62][180/314] lr: 1.6924e-01 eta: 5:14:30 time: 0.3431 data_time: 0.0416 memory: 9706 grad_norm: 1.0310 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5462 loss: 0.5462 2022/08/05 14:34:46 - mmengine - INFO - Epoch(train) [62][200/314] lr: 1.6918e-01 eta: 5:14:24 time: 0.3469 data_time: 0.0492 memory: 9706 grad_norm: 1.0334 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4378 loss: 0.4378 2022/08/05 14:34:53 - mmengine - INFO - Epoch(train) [62][220/314] lr: 1.6912e-01 eta: 5:14:17 time: 0.3379 data_time: 0.0434 memory: 9706 grad_norm: 1.0184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4311 loss: 0.4311 2022/08/05 14:35:00 - mmengine - INFO - Epoch(train) [62][240/314] lr: 1.6906e-01 eta: 5:14:12 time: 0.3638 data_time: 0.0475 memory: 9706 grad_norm: 1.0126 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5257 loss: 0.5257 2022/08/05 14:35:07 - mmengine - INFO - Epoch(train) [62][260/314] lr: 1.6900e-01 eta: 5:14:06 time: 0.3497 data_time: 0.0421 memory: 9706 grad_norm: 1.0839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4977 loss: 0.4977 2022/08/05 14:35:14 - mmengine - INFO - Epoch(train) [62][280/314] lr: 1.6894e-01 eta: 5:14:00 time: 0.3465 data_time: 0.0400 memory: 9706 grad_norm: 0.9698 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5413 loss: 0.5413 2022/08/05 14:35:21 - mmengine - INFO - Epoch(train) [62][300/314] lr: 1.6888e-01 eta: 5:13:53 time: 0.3363 data_time: 0.0447 memory: 9706 grad_norm: 1.0630 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5340 loss: 0.5340 2022/08/05 14:35:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:35:24 - mmengine - INFO - Epoch(train) [62][314/314] lr: 1.6884e-01 eta: 5:13:53 time: 0.2886 data_time: 0.0369 memory: 9706 grad_norm: 1.1523 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 0.5972 loss: 0.5972 2022/08/05 14:35:24 - mmengine - INFO - Saving checkpoint at 62 epochs 2022/08/05 14:35:37 - mmengine - INFO - Epoch(train) [63][20/314] lr: 1.6878e-01 eta: 5:13:36 time: 0.4785 data_time: 0.1969 memory: 9706 grad_norm: 1.0758 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4602 loss: 0.4602 2022/08/05 14:35:44 - mmengine - INFO - Epoch(train) [63][40/314] lr: 1.6872e-01 eta: 5:13:30 time: 0.3504 data_time: 0.0405 memory: 9706 grad_norm: 1.1467 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4187 loss: 0.4187 2022/08/05 14:35:51 - mmengine - INFO - Epoch(train) [63][60/314] lr: 1.6866e-01 eta: 5:13:24 time: 0.3405 data_time: 0.0392 memory: 9706 grad_norm: 1.0008 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4173 loss: 0.4173 2022/08/05 14:35:58 - mmengine - INFO - Epoch(train) [63][80/314] lr: 1.6860e-01 eta: 5:13:18 time: 0.3471 data_time: 0.0555 memory: 9706 grad_norm: 1.0026 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4252 loss: 0.4252 2022/08/05 14:36:04 - mmengine - INFO - Epoch(train) [63][100/314] lr: 1.6854e-01 eta: 5:13:11 time: 0.3390 data_time: 0.0403 memory: 9706 grad_norm: 1.1055 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4051 loss: 0.4051 2022/08/05 14:36:11 - mmengine - INFO - Epoch(train) [63][120/314] lr: 1.6847e-01 eta: 5:13:05 time: 0.3417 data_time: 0.0501 memory: 9706 grad_norm: 1.0536 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4627 loss: 0.4627 2022/08/05 14:36:18 - mmengine - INFO - Epoch(train) [63][140/314] lr: 1.6841e-01 eta: 5:12:58 time: 0.3438 data_time: 0.0488 memory: 9706 grad_norm: 1.0087 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4209 loss: 0.4209 2022/08/05 14:36:25 - mmengine - INFO - Epoch(train) [63][160/314] lr: 1.6835e-01 eta: 5:12:52 time: 0.3503 data_time: 0.0571 memory: 9706 grad_norm: 1.0568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4616 loss: 0.4616 2022/08/05 14:36:32 - mmengine - INFO - Epoch(train) [63][180/314] lr: 1.6829e-01 eta: 5:12:46 time: 0.3379 data_time: 0.0447 memory: 9706 grad_norm: 1.0071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4811 loss: 0.4811 2022/08/05 14:36:39 - mmengine - INFO - Epoch(train) [63][200/314] lr: 1.6823e-01 eta: 5:12:40 time: 0.3535 data_time: 0.0565 memory: 9706 grad_norm: 1.0662 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4574 loss: 0.4574 2022/08/05 14:36:46 - mmengine - INFO - Epoch(train) [63][220/314] lr: 1.6817e-01 eta: 5:12:34 time: 0.3468 data_time: 0.0446 memory: 9706 grad_norm: 1.0369 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4834 loss: 0.4834 2022/08/05 14:36:53 - mmengine - INFO - Epoch(train) [63][240/314] lr: 1.6811e-01 eta: 5:12:27 time: 0.3421 data_time: 0.0431 memory: 9706 grad_norm: 1.0267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4822 loss: 0.4822 2022/08/05 14:37:00 - mmengine - INFO - Epoch(train) [63][260/314] lr: 1.6805e-01 eta: 5:12:21 time: 0.3421 data_time: 0.0425 memory: 9706 grad_norm: 0.9938 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4636 loss: 0.4636 2022/08/05 14:37:07 - mmengine - INFO - Epoch(train) [63][280/314] lr: 1.6799e-01 eta: 5:12:15 time: 0.3549 data_time: 0.0401 memory: 9706 grad_norm: 1.0379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4578 loss: 0.4578 2022/08/05 14:37:13 - mmengine - INFO - Epoch(train) [63][300/314] lr: 1.6793e-01 eta: 5:12:09 time: 0.3420 data_time: 0.0410 memory: 9706 grad_norm: 1.1451 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5117 loss: 0.5117 2022/08/05 14:37:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:37:17 - mmengine - INFO - Epoch(train) [63][314/314] lr: 1.6788e-01 eta: 5:12:09 time: 0.2941 data_time: 0.0360 memory: 9706 grad_norm: 1.2037 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5450 loss: 0.5450 2022/08/05 14:37:17 - mmengine - INFO - Saving checkpoint at 63 epochs 2022/08/05 14:37:30 - mmengine - INFO - Epoch(train) [64][20/314] lr: 1.6782e-01 eta: 5:11:51 time: 0.4686 data_time: 0.1857 memory: 9706 grad_norm: 1.1431 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4833 loss: 0.4833 2022/08/05 14:37:36 - mmengine - INFO - Epoch(train) [64][40/314] lr: 1.6776e-01 eta: 5:11:45 time: 0.3457 data_time: 0.0426 memory: 9706 grad_norm: 0.9987 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4816 loss: 0.4816 2022/08/05 14:37:43 - mmengine - INFO - Epoch(train) [64][60/314] lr: 1.6770e-01 eta: 5:11:39 time: 0.3440 data_time: 0.0489 memory: 9706 grad_norm: 1.0335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4787 loss: 0.4787 2022/08/05 14:37:50 - mmengine - INFO - Epoch(train) [64][80/314] lr: 1.6764e-01 eta: 5:11:33 time: 0.3475 data_time: 0.0425 memory: 9706 grad_norm: 1.0270 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5025 loss: 0.5025 2022/08/05 14:37:57 - mmengine - INFO - Epoch(train) [64][100/314] lr: 1.6758e-01 eta: 5:11:26 time: 0.3457 data_time: 0.0442 memory: 9706 grad_norm: 1.0450 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5082 loss: 0.5082 2022/08/05 14:38:04 - mmengine - INFO - Epoch(train) [64][120/314] lr: 1.6751e-01 eta: 5:11:20 time: 0.3425 data_time: 0.0481 memory: 9706 grad_norm: 1.0720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5017 loss: 0.5017 2022/08/05 14:38:11 - mmengine - INFO - Epoch(train) [64][140/314] lr: 1.6745e-01 eta: 5:11:13 time: 0.3368 data_time: 0.0443 memory: 9706 grad_norm: 1.0222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4393 loss: 0.4393 2022/08/05 14:38:18 - mmengine - INFO - Epoch(train) [64][160/314] lr: 1.6739e-01 eta: 5:11:08 time: 0.3581 data_time: 0.0436 memory: 9706 grad_norm: 1.0901 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4587 loss: 0.4587 2022/08/05 14:38:25 - mmengine - INFO - Epoch(train) [64][180/314] lr: 1.6733e-01 eta: 5:11:01 time: 0.3457 data_time: 0.0394 memory: 9706 grad_norm: 1.0310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4314 loss: 0.4314 2022/08/05 14:38:32 - mmengine - INFO - Epoch(train) [64][200/314] lr: 1.6727e-01 eta: 5:10:55 time: 0.3502 data_time: 0.0489 memory: 9706 grad_norm: 1.0778 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4403 loss: 0.4403 2022/08/05 14:38:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:38:39 - mmengine - INFO - Epoch(train) [64][220/314] lr: 1.6721e-01 eta: 5:10:49 time: 0.3489 data_time: 0.0402 memory: 9706 grad_norm: 1.1032 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4601 loss: 0.4601 2022/08/05 14:38:46 - mmengine - INFO - Epoch(train) [64][240/314] lr: 1.6715e-01 eta: 5:10:43 time: 0.3429 data_time: 0.0452 memory: 9706 grad_norm: 1.0671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4701 loss: 0.4701 2022/08/05 14:38:53 - mmengine - INFO - Epoch(train) [64][260/314] lr: 1.6708e-01 eta: 5:10:36 time: 0.3394 data_time: 0.0442 memory: 9706 grad_norm: 1.0460 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6008 loss: 0.6008 2022/08/05 14:39:00 - mmengine - INFO - Epoch(train) [64][280/314] lr: 1.6702e-01 eta: 5:10:31 time: 0.3576 data_time: 0.0454 memory: 9706 grad_norm: 1.0368 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5370 loss: 0.5370 2022/08/05 14:39:07 - mmengine - INFO - Epoch(train) [64][300/314] lr: 1.6696e-01 eta: 5:10:25 time: 0.3471 data_time: 0.0407 memory: 9706 grad_norm: 1.0712 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4639 loss: 0.4639 2022/08/05 14:39:10 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:39:10 - mmengine - INFO - Epoch(train) [64][314/314] lr: 1.6692e-01 eta: 5:10:25 time: 0.2920 data_time: 0.0354 memory: 9706 grad_norm: 1.1729 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.5821 loss: 0.5821 2022/08/05 14:39:10 - mmengine - INFO - Saving checkpoint at 64 epochs 2022/08/05 14:39:22 - mmengine - INFO - Epoch(train) [65][20/314] lr: 1.6685e-01 eta: 5:10:07 time: 0.4571 data_time: 0.1810 memory: 9706 grad_norm: 1.0898 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5891 loss: 0.5891 2022/08/05 14:39:29 - mmengine - INFO - Epoch(train) [65][40/314] lr: 1.6679e-01 eta: 5:10:01 time: 0.3487 data_time: 0.0425 memory: 9706 grad_norm: 1.0437 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4567 loss: 0.4567 2022/08/05 14:39:36 - mmengine - INFO - Epoch(train) [65][60/314] lr: 1.6673e-01 eta: 5:09:55 time: 0.3478 data_time: 0.0391 memory: 9706 grad_norm: 1.0657 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4334 loss: 0.4334 2022/08/05 14:39:43 - mmengine - INFO - Epoch(train) [65][80/314] lr: 1.6667e-01 eta: 5:09:48 time: 0.3394 data_time: 0.0486 memory: 9706 grad_norm: 1.1312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5274 loss: 0.5274 2022/08/05 14:39:50 - mmengine - INFO - Epoch(train) [65][100/314] lr: 1.6661e-01 eta: 5:09:42 time: 0.3575 data_time: 0.0401 memory: 9706 grad_norm: 1.0095 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4424 loss: 0.4424 2022/08/05 14:39:57 - mmengine - INFO - Epoch(train) [65][120/314] lr: 1.6654e-01 eta: 5:09:36 time: 0.3449 data_time: 0.0490 memory: 9706 grad_norm: 1.0392 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5092 loss: 0.5092 2022/08/05 14:40:04 - mmengine - INFO - Epoch(train) [65][140/314] lr: 1.6648e-01 eta: 5:09:29 time: 0.3403 data_time: 0.0413 memory: 9706 grad_norm: 1.0725 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4734 loss: 0.4734 2022/08/05 14:40:11 - mmengine - INFO - Epoch(train) [65][160/314] lr: 1.6642e-01 eta: 5:09:23 time: 0.3447 data_time: 0.0442 memory: 9706 grad_norm: 1.1015 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5337 loss: 0.5337 2022/08/05 14:40:18 - mmengine - INFO - Epoch(train) [65][180/314] lr: 1.6636e-01 eta: 5:09:17 time: 0.3507 data_time: 0.0481 memory: 9706 grad_norm: 1.0497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4075 loss: 0.4075 2022/08/05 14:40:25 - mmengine - INFO - Epoch(train) [65][200/314] lr: 1.6629e-01 eta: 5:09:10 time: 0.3381 data_time: 0.0546 memory: 9706 grad_norm: 1.0918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4693 loss: 0.4693 2022/08/05 14:40:32 - mmengine - INFO - Epoch(train) [65][220/314] lr: 1.6623e-01 eta: 5:09:04 time: 0.3481 data_time: 0.0544 memory: 9706 grad_norm: 1.0392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5156 loss: 0.5156 2022/08/05 14:40:39 - mmengine - INFO - Epoch(train) [65][240/314] lr: 1.6617e-01 eta: 5:08:58 time: 0.3529 data_time: 0.0501 memory: 9706 grad_norm: 1.0999 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4923 loss: 0.4923 2022/08/05 14:40:46 - mmengine - INFO - Epoch(train) [65][260/314] lr: 1.6611e-01 eta: 5:08:52 time: 0.3433 data_time: 0.0428 memory: 9706 grad_norm: 1.0603 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5261 loss: 0.5261 2022/08/05 14:40:53 - mmengine - INFO - Epoch(train) [65][280/314] lr: 1.6604e-01 eta: 5:08:46 time: 0.3506 data_time: 0.0444 memory: 9706 grad_norm: 1.0572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5139 loss: 0.5139 2022/08/05 14:40:59 - mmengine - INFO - Epoch(train) [65][300/314] lr: 1.6598e-01 eta: 5:08:39 time: 0.3351 data_time: 0.0455 memory: 9706 grad_norm: 1.0284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4104 loss: 0.4104 2022/08/05 14:41:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:41:03 - mmengine - INFO - Epoch(train) [65][314/314] lr: 1.6594e-01 eta: 5:08:39 time: 0.2943 data_time: 0.0378 memory: 9706 grad_norm: 1.0568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3996 loss: 0.3996 2022/08/05 14:41:03 - mmengine - INFO - Saving checkpoint at 65 epochs 2022/08/05 14:41:15 - mmengine - INFO - Epoch(train) [66][20/314] lr: 1.6588e-01 eta: 5:08:21 time: 0.4526 data_time: 0.1767 memory: 9706 grad_norm: 1.1243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5399 loss: 0.5399 2022/08/05 14:41:22 - mmengine - INFO - Epoch(train) [66][40/314] lr: 1.6581e-01 eta: 5:08:15 time: 0.3447 data_time: 0.0448 memory: 9706 grad_norm: 1.0524 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4673 loss: 0.4673 2022/08/05 14:41:29 - mmengine - INFO - Epoch(train) [66][60/314] lr: 1.6575e-01 eta: 5:08:09 time: 0.3421 data_time: 0.0553 memory: 9706 grad_norm: 1.0609 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3883 loss: 0.3883 2022/08/05 14:41:36 - mmengine - INFO - Epoch(train) [66][80/314] lr: 1.6569e-01 eta: 5:08:02 time: 0.3453 data_time: 0.0427 memory: 9706 grad_norm: 1.0695 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4586 loss: 0.4586 2022/08/05 14:41:43 - mmengine - INFO - Epoch(train) [66][100/314] lr: 1.6562e-01 eta: 5:07:56 time: 0.3475 data_time: 0.0457 memory: 9706 grad_norm: 1.0789 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4452 loss: 0.4452 2022/08/05 14:41:50 - mmengine - INFO - Epoch(train) [66][120/314] lr: 1.6556e-01 eta: 5:07:50 time: 0.3424 data_time: 0.0425 memory: 9706 grad_norm: 1.0077 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4822 loss: 0.4822 2022/08/05 14:41:57 - mmengine - INFO - Epoch(train) [66][140/314] lr: 1.6550e-01 eta: 5:07:44 time: 0.3603 data_time: 0.0429 memory: 9706 grad_norm: 1.1050 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5405 loss: 0.5405 2022/08/05 14:42:04 - mmengine - INFO - Epoch(train) [66][160/314] lr: 1.6543e-01 eta: 5:07:38 time: 0.3402 data_time: 0.0400 memory: 9706 grad_norm: 1.0450 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5067 loss: 0.5067 2022/08/05 14:42:10 - mmengine - INFO - Epoch(train) [66][180/314] lr: 1.6537e-01 eta: 5:07:31 time: 0.3402 data_time: 0.0402 memory: 9706 grad_norm: 1.0335 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5206 loss: 0.5206 2022/08/05 14:42:17 - mmengine - INFO - Epoch(train) [66][200/314] lr: 1.6531e-01 eta: 5:07:25 time: 0.3464 data_time: 0.0479 memory: 9706 grad_norm: 1.0396 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4552 loss: 0.4552 2022/08/05 14:42:24 - mmengine - INFO - Epoch(train) [66][220/314] lr: 1.6525e-01 eta: 5:07:18 time: 0.3400 data_time: 0.0436 memory: 9706 grad_norm: 1.1105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4885 loss: 0.4885 2022/08/05 14:42:31 - mmengine - INFO - Epoch(train) [66][240/314] lr: 1.6518e-01 eta: 5:07:12 time: 0.3436 data_time: 0.0416 memory: 9706 grad_norm: 1.0759 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4862 loss: 0.4862 2022/08/05 14:42:38 - mmengine - INFO - Epoch(train) [66][260/314] lr: 1.6512e-01 eta: 5:07:06 time: 0.3507 data_time: 0.0464 memory: 9706 grad_norm: 1.1071 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5232 loss: 0.5232 2022/08/05 14:42:45 - mmengine - INFO - Epoch(train) [66][280/314] lr: 1.6506e-01 eta: 5:06:59 time: 0.3393 data_time: 0.0520 memory: 9706 grad_norm: 1.1127 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5099 loss: 0.5099 2022/08/05 14:42:52 - mmengine - INFO - Epoch(train) [66][300/314] lr: 1.6499e-01 eta: 5:06:53 time: 0.3435 data_time: 0.0460 memory: 9706 grad_norm: 1.0128 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5057 loss: 0.5057 2022/08/05 14:42:55 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:42:55 - mmengine - INFO - Epoch(train) [66][314/314] lr: 1.6495e-01 eta: 5:06:53 time: 0.2922 data_time: 0.0353 memory: 9706 grad_norm: 1.1346 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.5391 loss: 0.5391 2022/08/05 14:42:56 - mmengine - INFO - Saving checkpoint at 66 epochs 2022/08/05 14:43:08 - mmengine - INFO - Epoch(train) [67][20/314] lr: 1.6488e-01 eta: 5:06:37 time: 0.4873 data_time: 0.2001 memory: 9706 grad_norm: 1.0217 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4583 loss: 0.4583 2022/08/05 14:43:15 - mmengine - INFO - Epoch(train) [67][40/314] lr: 1.6482e-01 eta: 5:06:30 time: 0.3415 data_time: 0.0470 memory: 9706 grad_norm: 1.0165 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5430 loss: 0.5430 2022/08/05 14:43:22 - mmengine - INFO - Epoch(train) [67][60/314] lr: 1.6476e-01 eta: 5:06:24 time: 0.3402 data_time: 0.0435 memory: 9706 grad_norm: 1.0686 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4168 loss: 0.4168 2022/08/05 14:43:29 - mmengine - INFO - Epoch(train) [67][80/314] lr: 1.6469e-01 eta: 5:06:18 time: 0.3532 data_time: 0.0430 memory: 9706 grad_norm: 1.0712 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4677 loss: 0.4677 2022/08/05 14:43:36 - mmengine - INFO - Epoch(train) [67][100/314] lr: 1.6463e-01 eta: 5:06:12 time: 0.3448 data_time: 0.0446 memory: 9706 grad_norm: 1.1325 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5062 loss: 0.5062 2022/08/05 14:43:42 - mmengine - INFO - Epoch(train) [67][120/314] lr: 1.6457e-01 eta: 5:06:05 time: 0.3442 data_time: 0.0458 memory: 9706 grad_norm: 1.0439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4508 loss: 0.4508 2022/08/05 14:43:49 - mmengine - INFO - Epoch(train) [67][140/314] lr: 1.6450e-01 eta: 5:05:59 time: 0.3505 data_time: 0.0480 memory: 9706 grad_norm: 1.1022 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4815 loss: 0.4815 2022/08/05 14:43:56 - mmengine - INFO - Epoch(train) [67][160/314] lr: 1.6444e-01 eta: 5:05:52 time: 0.3333 data_time: 0.0425 memory: 9706 grad_norm: 1.0398 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3860 loss: 0.3860 2022/08/05 14:44:03 - mmengine - INFO - Epoch(train) [67][180/314] lr: 1.6438e-01 eta: 5:05:46 time: 0.3459 data_time: 0.0467 memory: 9706 grad_norm: 1.0369 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.4122 loss: 0.4122 2022/08/05 14:44:10 - mmengine - INFO - Epoch(train) [67][200/314] lr: 1.6431e-01 eta: 5:05:40 time: 0.3469 data_time: 0.0446 memory: 9706 grad_norm: 1.0316 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4352 loss: 0.4352 2022/08/05 14:44:17 - mmengine - INFO - Epoch(train) [67][220/314] lr: 1.6425e-01 eta: 5:05:34 time: 0.3452 data_time: 0.0500 memory: 9706 grad_norm: 1.0419 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4718 loss: 0.4718 2022/08/05 14:44:24 - mmengine - INFO - Epoch(train) [67][240/314] lr: 1.6418e-01 eta: 5:05:27 time: 0.3350 data_time: 0.0455 memory: 9706 grad_norm: 1.0144 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5142 loss: 0.5142 2022/08/05 14:44:31 - mmengine - INFO - Epoch(train) [67][260/314] lr: 1.6412e-01 eta: 5:05:20 time: 0.3472 data_time: 0.0462 memory: 9706 grad_norm: 1.0024 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4383 loss: 0.4383 2022/08/05 14:44:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:44:37 - mmengine - INFO - Epoch(train) [67][280/314] lr: 1.6406e-01 eta: 5:05:14 time: 0.3492 data_time: 0.0455 memory: 9706 grad_norm: 1.1361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5141 loss: 0.5141 2022/08/05 14:44:44 - mmengine - INFO - Epoch(train) [67][300/314] lr: 1.6399e-01 eta: 5:05:07 time: 0.3340 data_time: 0.0449 memory: 9706 grad_norm: 1.1386 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5790 loss: 0.5790 2022/08/05 14:44:48 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:44:48 - mmengine - INFO - Epoch(train) [67][314/314] lr: 1.6395e-01 eta: 5:05:07 time: 0.2947 data_time: 0.0401 memory: 9706 grad_norm: 1.2292 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4828 loss: 0.4828 2022/08/05 14:44:48 - mmengine - INFO - Saving checkpoint at 67 epochs 2022/08/05 14:45:00 - mmengine - INFO - Epoch(train) [68][20/314] lr: 1.6388e-01 eta: 5:04:49 time: 0.4458 data_time: 0.1721 memory: 9706 grad_norm: 1.1407 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6335 loss: 0.6335 2022/08/05 14:45:09 - mmengine - INFO - Epoch(train) [68][40/314] lr: 1.6382e-01 eta: 5:04:48 time: 0.4345 data_time: 0.0434 memory: 9706 grad_norm: 1.0484 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5455 loss: 0.5455 2022/08/05 14:45:16 - mmengine - INFO - Epoch(train) [68][60/314] lr: 1.6375e-01 eta: 5:04:41 time: 0.3326 data_time: 0.0401 memory: 9706 grad_norm: 1.0713 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4512 loss: 0.4512 2022/08/05 14:45:22 - mmengine - INFO - Epoch(train) [68][80/314] lr: 1.6369e-01 eta: 5:04:34 time: 0.3382 data_time: 0.0460 memory: 9706 grad_norm: 1.0844 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5309 loss: 0.5309 2022/08/05 14:45:29 - mmengine - INFO - Epoch(train) [68][100/314] lr: 1.6363e-01 eta: 5:04:28 time: 0.3532 data_time: 0.0519 memory: 9706 grad_norm: 1.0305 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5311 loss: 0.5311 2022/08/05 14:45:36 - mmengine - INFO - Epoch(train) [68][120/314] lr: 1.6356e-01 eta: 5:04:22 time: 0.3407 data_time: 0.0467 memory: 9706 grad_norm: 1.0547 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4696 loss: 0.4696 2022/08/05 14:45:43 - mmengine - INFO - Epoch(train) [68][140/314] lr: 1.6350e-01 eta: 5:04:15 time: 0.3433 data_time: 0.0403 memory: 9706 grad_norm: 1.1367 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5192 loss: 0.5192 2022/08/05 14:45:50 - mmengine - INFO - Epoch(train) [68][160/314] lr: 1.6343e-01 eta: 5:04:09 time: 0.3494 data_time: 0.0428 memory: 9706 grad_norm: 0.9960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4277 loss: 0.4277 2022/08/05 14:45:57 - mmengine - INFO - Epoch(train) [68][180/314] lr: 1.6337e-01 eta: 5:04:03 time: 0.3484 data_time: 0.0419 memory: 9706 grad_norm: 1.0065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4548 loss: 0.4548 2022/08/05 14:46:04 - mmengine - INFO - Epoch(train) [68][200/314] lr: 1.6330e-01 eta: 5:03:56 time: 0.3389 data_time: 0.0540 memory: 9706 grad_norm: 1.0619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4614 loss: 0.4614 2022/08/05 14:46:11 - mmengine - INFO - Epoch(train) [68][220/314] lr: 1.6324e-01 eta: 5:03:50 time: 0.3484 data_time: 0.0409 memory: 9706 grad_norm: 1.0874 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5753 loss: 0.5753 2022/08/05 14:46:18 - mmengine - INFO - Epoch(train) [68][240/314] lr: 1.6317e-01 eta: 5:03:44 time: 0.3426 data_time: 0.0449 memory: 9706 grad_norm: 1.0282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4365 loss: 0.4365 2022/08/05 14:46:24 - mmengine - INFO - Epoch(train) [68][260/314] lr: 1.6311e-01 eta: 5:03:37 time: 0.3421 data_time: 0.0453 memory: 9706 grad_norm: 1.0530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4419 loss: 0.4419 2022/08/05 14:46:31 - mmengine - INFO - Epoch(train) [68][280/314] lr: 1.6305e-01 eta: 5:03:31 time: 0.3373 data_time: 0.0435 memory: 9706 grad_norm: 0.9970 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5100 loss: 0.5100 2022/08/05 14:46:38 - mmengine - INFO - Epoch(train) [68][300/314] lr: 1.6298e-01 eta: 5:03:24 time: 0.3478 data_time: 0.0414 memory: 9706 grad_norm: 1.0422 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4248 loss: 0.4248 2022/08/05 14:46:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:46:42 - mmengine - INFO - Epoch(train) [68][314/314] lr: 1.6294e-01 eta: 5:03:24 time: 0.2861 data_time: 0.0350 memory: 9706 grad_norm: 1.1183 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.4848 loss: 0.4848 2022/08/05 14:46:42 - mmengine - INFO - Saving checkpoint at 68 epochs 2022/08/05 14:46:54 - mmengine - INFO - Epoch(train) [69][20/314] lr: 1.6287e-01 eta: 5:03:07 time: 0.4598 data_time: 0.1785 memory: 9706 grad_norm: 1.0773 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4008 loss: 0.4008 2022/08/05 14:47:01 - mmengine - INFO - Epoch(train) [69][40/314] lr: 1.6281e-01 eta: 5:03:01 time: 0.3432 data_time: 0.0472 memory: 9706 grad_norm: 1.0398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4586 loss: 0.4586 2022/08/05 14:47:08 - mmengine - INFO - Epoch(train) [69][60/314] lr: 1.6274e-01 eta: 5:02:55 time: 0.3512 data_time: 0.0400 memory: 9706 grad_norm: 1.0440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5493 loss: 0.5493 2022/08/05 14:47:15 - mmengine - INFO - Epoch(train) [69][80/314] lr: 1.6268e-01 eta: 5:02:48 time: 0.3425 data_time: 0.0440 memory: 9706 grad_norm: 1.0523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5781 loss: 0.5781 2022/08/05 14:47:22 - mmengine - INFO - Epoch(train) [69][100/314] lr: 1.6261e-01 eta: 5:02:43 time: 0.3667 data_time: 0.0397 memory: 9706 grad_norm: 1.0062 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4721 loss: 0.4721 2022/08/05 14:47:29 - mmengine - INFO - Epoch(train) [69][120/314] lr: 1.6255e-01 eta: 5:02:37 time: 0.3482 data_time: 0.0472 memory: 9706 grad_norm: 1.1038 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5152 loss: 0.5152 2022/08/05 14:47:36 - mmengine - INFO - Epoch(train) [69][140/314] lr: 1.6248e-01 eta: 5:02:30 time: 0.3387 data_time: 0.0414 memory: 9706 grad_norm: 1.0245 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4302 loss: 0.4302 2022/08/05 14:47:43 - mmengine - INFO - Epoch(train) [69][160/314] lr: 1.6242e-01 eta: 5:02:25 time: 0.3592 data_time: 0.0422 memory: 9706 grad_norm: 1.0194 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4665 loss: 0.4665 2022/08/05 14:47:50 - mmengine - INFO - Epoch(train) [69][180/314] lr: 1.6235e-01 eta: 5:02:18 time: 0.3445 data_time: 0.0486 memory: 9706 grad_norm: 1.0963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5560 loss: 0.5560 2022/08/05 14:47:57 - mmengine - INFO - Epoch(train) [69][200/314] lr: 1.6229e-01 eta: 5:02:13 time: 0.3623 data_time: 0.0533 memory: 9706 grad_norm: 1.0642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5366 loss: 0.5366 2022/08/05 14:48:04 - mmengine - INFO - Epoch(train) [69][220/314] lr: 1.6222e-01 eta: 5:02:06 time: 0.3354 data_time: 0.0433 memory: 9706 grad_norm: 1.0372 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4927 loss: 0.4927 2022/08/05 14:48:11 - mmengine - INFO - Epoch(train) [69][240/314] lr: 1.6215e-01 eta: 5:02:00 time: 0.3497 data_time: 0.0512 memory: 9706 grad_norm: 1.0873 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5495 loss: 0.5495 2022/08/05 14:48:18 - mmengine - INFO - Epoch(train) [69][260/314] lr: 1.6209e-01 eta: 5:01:53 time: 0.3339 data_time: 0.0410 memory: 9706 grad_norm: 1.1074 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5294 loss: 0.5294 2022/08/05 14:48:25 - mmengine - INFO - Epoch(train) [69][280/314] lr: 1.6202e-01 eta: 5:01:47 time: 0.3542 data_time: 0.0418 memory: 9706 grad_norm: 1.0948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5526 loss: 0.5526 2022/08/05 14:48:31 - mmengine - INFO - Epoch(train) [69][300/314] lr: 1.6196e-01 eta: 5:01:40 time: 0.3376 data_time: 0.0415 memory: 9706 grad_norm: 1.0713 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4571 loss: 0.4571 2022/08/05 14:48:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:48:35 - mmengine - INFO - Epoch(train) [69][314/314] lr: 1.6191e-01 eta: 5:01:40 time: 0.2868 data_time: 0.0374 memory: 9706 grad_norm: 1.1643 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5253 loss: 0.5253 2022/08/05 14:48:35 - mmengine - INFO - Saving checkpoint at 69 epochs 2022/08/05 14:48:47 - mmengine - INFO - Epoch(train) [70][20/314] lr: 1.6185e-01 eta: 5:01:24 time: 0.4677 data_time: 0.1903 memory: 9706 grad_norm: 1.1648 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5320 loss: 0.5320 2022/08/05 14:48:54 - mmengine - INFO - Epoch(train) [70][40/314] lr: 1.6178e-01 eta: 5:01:17 time: 0.3350 data_time: 0.0387 memory: 9706 grad_norm: 1.0822 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5164 loss: 0.5164 2022/08/05 14:49:01 - mmengine - INFO - Epoch(train) [70][60/314] lr: 1.6172e-01 eta: 5:01:10 time: 0.3370 data_time: 0.0392 memory: 9706 grad_norm: 1.1080 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4621 loss: 0.4621 2022/08/05 14:49:08 - mmengine - INFO - Epoch(train) [70][80/314] lr: 1.6165e-01 eta: 5:01:04 time: 0.3553 data_time: 0.0427 memory: 9706 grad_norm: 0.9518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4843 loss: 0.4843 2022/08/05 14:49:15 - mmengine - INFO - Epoch(train) [70][100/314] lr: 1.6158e-01 eta: 5:00:58 time: 0.3438 data_time: 0.0463 memory: 9706 grad_norm: 1.0669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4266 loss: 0.4266 2022/08/05 14:49:22 - mmengine - INFO - Epoch(train) [70][120/314] lr: 1.6152e-01 eta: 5:00:52 time: 0.3459 data_time: 0.0467 memory: 9706 grad_norm: 1.0586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4861 loss: 0.4861 2022/08/05 14:49:28 - mmengine - INFO - Epoch(train) [70][140/314] lr: 1.6145e-01 eta: 5:00:45 time: 0.3449 data_time: 0.0490 memory: 9706 grad_norm: 1.0760 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5062 loss: 0.5062 2022/08/05 14:49:35 - mmengine - INFO - Epoch(train) [70][160/314] lr: 1.6139e-01 eta: 5:00:39 time: 0.3419 data_time: 0.0422 memory: 9706 grad_norm: 1.0291 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4095 loss: 0.4095 2022/08/05 14:49:42 - mmengine - INFO - Epoch(train) [70][180/314] lr: 1.6132e-01 eta: 5:00:32 time: 0.3407 data_time: 0.0400 memory: 9706 grad_norm: 1.0806 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5278 loss: 0.5278 2022/08/05 14:49:49 - mmengine - INFO - Epoch(train) [70][200/314] lr: 1.6126e-01 eta: 5:00:26 time: 0.3508 data_time: 0.0476 memory: 9706 grad_norm: 1.0499 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4456 loss: 0.4456 2022/08/05 14:49:56 - mmengine - INFO - Epoch(train) [70][220/314] lr: 1.6119e-01 eta: 5:00:20 time: 0.3490 data_time: 0.0573 memory: 9706 grad_norm: 1.0491 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4770 loss: 0.4770 2022/08/05 14:50:03 - mmengine - INFO - Epoch(train) [70][240/314] lr: 1.6112e-01 eta: 5:00:13 time: 0.3402 data_time: 0.0411 memory: 9706 grad_norm: 1.1494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4429 loss: 0.4429 2022/08/05 14:50:10 - mmengine - INFO - Epoch(train) [70][260/314] lr: 1.6106e-01 eta: 5:00:08 time: 0.3654 data_time: 0.0399 memory: 9706 grad_norm: 1.1045 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5044 loss: 0.5044 2022/08/05 14:50:17 - mmengine - INFO - Epoch(train) [70][280/314] lr: 1.6099e-01 eta: 5:00:01 time: 0.3364 data_time: 0.0402 memory: 9706 grad_norm: 1.0570 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5411 loss: 0.5411 2022/08/05 14:50:24 - mmengine - INFO - Epoch(train) [70][300/314] lr: 1.6093e-01 eta: 4:59:55 time: 0.3417 data_time: 0.0426 memory: 9706 grad_norm: 1.1087 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5116 loss: 0.5116 2022/08/05 14:50:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:50:28 - mmengine - INFO - Epoch(train) [70][314/314] lr: 1.6088e-01 eta: 4:59:55 time: 0.3218 data_time: 0.0379 memory: 9706 grad_norm: 1.1096 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.4956 loss: 0.4956 2022/08/05 14:50:28 - mmengine - INFO - Saving checkpoint at 70 epochs 2022/08/05 14:50:40 - mmengine - INFO - Epoch(val) [70][20/129] eta: 0:00:52 time: 0.4812 data_time: 0.2985 memory: 1867 2022/08/05 14:50:47 - mmengine - INFO - Epoch(val) [70][40/129] eta: 0:00:28 time: 0.3187 data_time: 0.1387 memory: 1867 2022/08/05 14:50:54 - mmengine - INFO - Epoch(val) [70][60/129] eta: 0:00:25 time: 0.3668 data_time: 0.1851 memory: 1867 2022/08/05 14:51:00 - mmengine - INFO - Epoch(val) [70][80/129] eta: 0:00:15 time: 0.3089 data_time: 0.1263 memory: 1867 2022/08/05 14:51:07 - mmengine - INFO - Epoch(val) [70][100/129] eta: 0:00:10 time: 0.3603 data_time: 0.1599 memory: 1867 2022/08/05 14:51:13 - mmengine - INFO - Epoch(val) [70][120/129] eta: 0:00:02 time: 0.2746 data_time: 0.1153 memory: 1867 2022/08/05 14:51:15 - mmengine - INFO - Epoch(val) [70][129/129] acc/top1: 0.7829 acc/top5: 0.9721 acc/mean1: 0.7825 2022/08/05 14:51:25 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:51:25 - mmengine - INFO - Epoch(train) [71][20/314] lr: 1.6081e-01 eta: 4:59:41 time: 0.5240 data_time: 0.1996 memory: 9706 grad_norm: 1.0302 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5131 loss: 0.5131 2022/08/05 14:51:32 - mmengine - INFO - Epoch(train) [71][40/314] lr: 1.6075e-01 eta: 4:59:35 time: 0.3478 data_time: 0.0544 memory: 9706 grad_norm: 1.0775 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5347 loss: 0.5347 2022/08/05 14:51:39 - mmengine - INFO - Epoch(train) [71][60/314] lr: 1.6068e-01 eta: 4:59:28 time: 0.3361 data_time: 0.0391 memory: 9706 grad_norm: 1.0111 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4802 loss: 0.4802 2022/08/05 14:51:46 - mmengine - INFO - Epoch(train) [71][80/314] lr: 1.6061e-01 eta: 4:59:21 time: 0.3385 data_time: 0.0423 memory: 9706 grad_norm: 0.9724 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4494 loss: 0.4494 2022/08/05 14:51:53 - mmengine - INFO - Epoch(train) [71][100/314] lr: 1.6055e-01 eta: 4:59:15 time: 0.3516 data_time: 0.0396 memory: 9706 grad_norm: 0.9861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4205 loss: 0.4205 2022/08/05 14:52:00 - mmengine - INFO - Epoch(train) [71][120/314] lr: 1.6048e-01 eta: 4:59:09 time: 0.3394 data_time: 0.0478 memory: 9706 grad_norm: 1.0604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5021 loss: 0.5021 2022/08/05 14:52:07 - mmengine - INFO - Epoch(train) [71][140/314] lr: 1.6042e-01 eta: 4:59:02 time: 0.3411 data_time: 0.0430 memory: 9706 grad_norm: 1.0752 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5439 loss: 0.5439 2022/08/05 14:52:14 - mmengine - INFO - Epoch(train) [71][160/314] lr: 1.6035e-01 eta: 4:58:56 time: 0.3480 data_time: 0.0485 memory: 9706 grad_norm: 1.0351 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4339 loss: 0.4339 2022/08/05 14:52:20 - mmengine - INFO - Epoch(train) [71][180/314] lr: 1.6028e-01 eta: 4:58:49 time: 0.3437 data_time: 0.0490 memory: 9706 grad_norm: 1.1451 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4847 loss: 0.4847 2022/08/05 14:52:27 - mmengine - INFO - Epoch(train) [71][200/314] lr: 1.6022e-01 eta: 4:58:43 time: 0.3493 data_time: 0.0504 memory: 9706 grad_norm: 1.0791 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4377 loss: 0.4377 2022/08/05 14:52:34 - mmengine - INFO - Epoch(train) [71][220/314] lr: 1.6015e-01 eta: 4:58:37 time: 0.3451 data_time: 0.0457 memory: 9706 grad_norm: 1.0494 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5260 loss: 0.5260 2022/08/05 14:52:41 - mmengine - INFO - Epoch(train) [71][240/314] lr: 1.6008e-01 eta: 4:58:31 time: 0.3453 data_time: 0.0457 memory: 9706 grad_norm: 1.0854 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5184 loss: 0.5184 2022/08/05 14:52:48 - mmengine - INFO - Epoch(train) [71][260/314] lr: 1.6002e-01 eta: 4:58:24 time: 0.3462 data_time: 0.0489 memory: 9706 grad_norm: 1.1250 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4925 loss: 0.4925 2022/08/05 14:52:55 - mmengine - INFO - Epoch(train) [71][280/314] lr: 1.5995e-01 eta: 4:58:18 time: 0.3387 data_time: 0.0416 memory: 9706 grad_norm: 0.9918 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3998 loss: 0.3998 2022/08/05 14:53:02 - mmengine - INFO - Epoch(train) [71][300/314] lr: 1.5988e-01 eta: 4:58:11 time: 0.3435 data_time: 0.0413 memory: 9706 grad_norm: 1.0131 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4683 loss: 0.4683 2022/08/05 14:53:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:53:06 - mmengine - INFO - Epoch(train) [71][314/314] lr: 1.5984e-01 eta: 4:58:11 time: 0.2901 data_time: 0.0388 memory: 9706 grad_norm: 1.1646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5408 loss: 0.5408 2022/08/05 14:53:06 - mmengine - INFO - Saving checkpoint at 71 epochs 2022/08/05 14:53:17 - mmengine - INFO - Epoch(train) [72][20/314] lr: 1.5977e-01 eta: 4:57:55 time: 0.4667 data_time: 0.1782 memory: 9706 grad_norm: 1.1302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4574 loss: 0.4574 2022/08/05 14:53:24 - mmengine - INFO - Epoch(train) [72][40/314] lr: 1.5970e-01 eta: 4:57:48 time: 0.3369 data_time: 0.0421 memory: 9706 grad_norm: 1.0219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4242 loss: 0.4242 2022/08/05 14:53:31 - mmengine - INFO - Epoch(train) [72][60/314] lr: 1.5964e-01 eta: 4:57:42 time: 0.3499 data_time: 0.0432 memory: 9706 grad_norm: 1.1774 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4510 loss: 0.4510 2022/08/05 14:53:38 - mmengine - INFO - Epoch(train) [72][80/314] lr: 1.5957e-01 eta: 4:57:35 time: 0.3456 data_time: 0.0445 memory: 9706 grad_norm: 1.0883 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5077 loss: 0.5077 2022/08/05 14:53:45 - mmengine - INFO - Epoch(train) [72][100/314] lr: 1.5950e-01 eta: 4:57:29 time: 0.3392 data_time: 0.0431 memory: 9706 grad_norm: 1.0492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5146 loss: 0.5146 2022/08/05 14:53:52 - mmengine - INFO - Epoch(train) [72][120/314] lr: 1.5943e-01 eta: 4:57:22 time: 0.3423 data_time: 0.0422 memory: 9706 grad_norm: 1.0765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4306 loss: 0.4306 2022/08/05 14:53:59 - mmengine - INFO - Epoch(train) [72][140/314] lr: 1.5937e-01 eta: 4:57:16 time: 0.3468 data_time: 0.0408 memory: 9706 grad_norm: 1.0709 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5502 loss: 0.5502 2022/08/05 14:54:06 - mmengine - INFO - Epoch(train) [72][160/314] lr: 1.5930e-01 eta: 4:57:10 time: 0.3495 data_time: 0.0409 memory: 9706 grad_norm: 1.0393 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4138 loss: 0.4138 2022/08/05 14:54:13 - mmengine - INFO - Epoch(train) [72][180/314] lr: 1.5923e-01 eta: 4:57:03 time: 0.3406 data_time: 0.0433 memory: 9706 grad_norm: 1.1290 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4781 loss: 0.4781 2022/08/05 14:54:19 - mmengine - INFO - Epoch(train) [72][200/314] lr: 1.5917e-01 eta: 4:56:57 time: 0.3436 data_time: 0.0484 memory: 9706 grad_norm: 1.0626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3582 loss: 0.3582 2022/08/05 14:54:26 - mmengine - INFO - Epoch(train) [72][220/314] lr: 1.5910e-01 eta: 4:56:51 time: 0.3457 data_time: 0.0437 memory: 9706 grad_norm: 0.9765 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4786 loss: 0.4786 2022/08/05 14:54:33 - mmengine - INFO - Epoch(train) [72][240/314] lr: 1.5903e-01 eta: 4:56:44 time: 0.3396 data_time: 0.0481 memory: 9706 grad_norm: 1.0573 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4074 loss: 0.4074 2022/08/05 14:54:40 - mmengine - INFO - Epoch(train) [72][260/314] lr: 1.5896e-01 eta: 4:56:38 time: 0.3444 data_time: 0.0403 memory: 9706 grad_norm: 1.0133 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4028 loss: 0.4028 2022/08/05 14:54:47 - mmengine - INFO - Epoch(train) [72][280/314] lr: 1.5890e-01 eta: 4:56:31 time: 0.3412 data_time: 0.0415 memory: 9706 grad_norm: 1.0688 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3103 loss: 0.3103 2022/08/05 14:54:54 - mmengine - INFO - Epoch(train) [72][300/314] lr: 1.5883e-01 eta: 4:56:25 time: 0.3459 data_time: 0.0481 memory: 9706 grad_norm: 1.0305 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4755 loss: 0.4755 2022/08/05 14:54:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:54:58 - mmengine - INFO - Epoch(train) [72][314/314] lr: 1.5878e-01 eta: 4:56:25 time: 0.3084 data_time: 0.0362 memory: 9706 grad_norm: 1.1096 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.4901 loss: 0.4901 2022/08/05 14:54:58 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/05 14:55:10 - mmengine - INFO - Epoch(train) [73][20/314] lr: 1.5871e-01 eta: 4:56:08 time: 0.4664 data_time: 0.1796 memory: 9706 grad_norm: 1.0675 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4514 loss: 0.4514 2022/08/05 14:55:17 - mmengine - INFO - Epoch(train) [73][40/314] lr: 1.5865e-01 eta: 4:56:02 time: 0.3403 data_time: 0.0412 memory: 9706 grad_norm: 1.0674 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4698 loss: 0.4698 2022/08/05 14:55:23 - mmengine - INFO - Epoch(train) [73][60/314] lr: 1.5858e-01 eta: 4:55:55 time: 0.3404 data_time: 0.0414 memory: 9706 grad_norm: 1.0901 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4090 loss: 0.4090 2022/08/05 14:55:30 - mmengine - INFO - Epoch(train) [73][80/314] lr: 1.5851e-01 eta: 4:55:49 time: 0.3439 data_time: 0.0474 memory: 9706 grad_norm: 1.0930 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5152 loss: 0.5152 2022/08/05 14:55:37 - mmengine - INFO - Epoch(train) [73][100/314] lr: 1.5844e-01 eta: 4:55:42 time: 0.3409 data_time: 0.0422 memory: 9706 grad_norm: 1.0395 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5260 loss: 0.5260 2022/08/05 14:55:44 - mmengine - INFO - Epoch(train) [73][120/314] lr: 1.5838e-01 eta: 4:55:36 time: 0.3459 data_time: 0.0443 memory: 9706 grad_norm: 0.9812 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3797 loss: 0.3797 2022/08/05 14:55:51 - mmengine - INFO - Epoch(train) [73][140/314] lr: 1.5831e-01 eta: 4:55:29 time: 0.3441 data_time: 0.0535 memory: 9706 grad_norm: 0.9750 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4250 loss: 0.4250 2022/08/05 14:55:58 - mmengine - INFO - Epoch(train) [73][160/314] lr: 1.5824e-01 eta: 4:55:23 time: 0.3500 data_time: 0.0436 memory: 9706 grad_norm: 1.0906 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4029 loss: 0.4029 2022/08/05 14:56:05 - mmengine - INFO - Epoch(train) [73][180/314] lr: 1.5817e-01 eta: 4:55:17 time: 0.3429 data_time: 0.0423 memory: 9706 grad_norm: 1.0964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5277 loss: 0.5277 2022/08/05 14:56:12 - mmengine - INFO - Epoch(train) [73][200/314] lr: 1.5811e-01 eta: 4:55:10 time: 0.3432 data_time: 0.0466 memory: 9706 grad_norm: 1.0541 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4869 loss: 0.4869 2022/08/05 14:56:19 - mmengine - INFO - Epoch(train) [73][220/314] lr: 1.5804e-01 eta: 4:55:04 time: 0.3461 data_time: 0.0433 memory: 9706 grad_norm: 1.0790 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.4735 loss: 0.4735 2022/08/05 14:56:25 - mmengine - INFO - Epoch(train) [73][240/314] lr: 1.5797e-01 eta: 4:54:58 time: 0.3463 data_time: 0.0489 memory: 9706 grad_norm: 1.1138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5027 loss: 0.5027 2022/08/05 14:56:32 - mmengine - INFO - Epoch(train) [73][260/314] lr: 1.5790e-01 eta: 4:54:51 time: 0.3404 data_time: 0.0426 memory: 9706 grad_norm: 1.0574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4568 loss: 0.4568 2022/08/05 14:56:39 - mmengine - INFO - Epoch(train) [73][280/314] lr: 1.5783e-01 eta: 4:54:45 time: 0.3427 data_time: 0.0495 memory: 9706 grad_norm: 1.0360 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4817 loss: 0.4817 2022/08/05 14:56:46 - mmengine - INFO - Epoch(train) [73][300/314] lr: 1.5777e-01 eta: 4:54:38 time: 0.3500 data_time: 0.0640 memory: 9706 grad_norm: 1.0840 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4744 loss: 0.4744 2022/08/05 14:56:50 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:56:50 - mmengine - INFO - Epoch(train) [73][314/314] lr: 1.5772e-01 eta: 4:54:38 time: 0.3240 data_time: 0.0484 memory: 9706 grad_norm: 1.2075 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 0.5506 loss: 0.5506 2022/08/05 14:56:50 - mmengine - INFO - Saving checkpoint at 73 epochs 2022/08/05 14:57:02 - mmengine - INFO - Epoch(train) [74][20/314] lr: 1.5765e-01 eta: 4:54:22 time: 0.4632 data_time: 0.1856 memory: 9706 grad_norm: 1.1016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4436 loss: 0.4436 2022/08/05 14:57:10 - mmengine - INFO - Epoch(train) [74][40/314] lr: 1.5758e-01 eta: 4:54:16 time: 0.3568 data_time: 0.0451 memory: 9706 grad_norm: 1.0814 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4414 loss: 0.4414 2022/08/05 14:57:16 - mmengine - INFO - Epoch(train) [74][60/314] lr: 1.5751e-01 eta: 4:54:10 time: 0.3398 data_time: 0.0427 memory: 9706 grad_norm: 1.0917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4833 loss: 0.4833 2022/08/05 14:57:22 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:57:23 - mmengine - INFO - Epoch(train) [74][80/314] lr: 1.5745e-01 eta: 4:54:03 time: 0.3403 data_time: 0.0429 memory: 9706 grad_norm: 1.0643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4416 loss: 0.4416 2022/08/05 14:57:30 - mmengine - INFO - Epoch(train) [74][100/314] lr: 1.5738e-01 eta: 4:53:57 time: 0.3445 data_time: 0.0443 memory: 9706 grad_norm: 1.0883 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4591 loss: 0.4591 2022/08/05 14:57:37 - mmengine - INFO - Epoch(train) [74][120/314] lr: 1.5731e-01 eta: 4:53:50 time: 0.3415 data_time: 0.0595 memory: 9706 grad_norm: 1.0878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3915 loss: 0.3915 2022/08/05 14:57:44 - mmengine - INFO - Epoch(train) [74][140/314] lr: 1.5724e-01 eta: 4:53:44 time: 0.3478 data_time: 0.0418 memory: 9706 grad_norm: 1.0083 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5286 loss: 0.5286 2022/08/05 14:57:51 - mmengine - INFO - Epoch(train) [74][160/314] lr: 1.5717e-01 eta: 4:53:38 time: 0.3480 data_time: 0.0504 memory: 9706 grad_norm: 1.0259 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3999 loss: 0.3999 2022/08/05 14:57:58 - mmengine - INFO - Epoch(train) [74][180/314] lr: 1.5710e-01 eta: 4:53:31 time: 0.3440 data_time: 0.0563 memory: 9706 grad_norm: 1.0550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4338 loss: 0.4338 2022/08/05 14:58:04 - mmengine - INFO - Epoch(train) [74][200/314] lr: 1.5704e-01 eta: 4:53:25 time: 0.3401 data_time: 0.0438 memory: 9706 grad_norm: 1.1277 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5008 loss: 0.5008 2022/08/05 14:58:11 - mmengine - INFO - Epoch(train) [74][220/314] lr: 1.5697e-01 eta: 4:53:18 time: 0.3481 data_time: 0.0468 memory: 9706 grad_norm: 1.0723 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.4350 loss: 0.4350 2022/08/05 14:58:18 - mmengine - INFO - Epoch(train) [74][240/314] lr: 1.5690e-01 eta: 4:53:12 time: 0.3440 data_time: 0.0476 memory: 9706 grad_norm: 1.0125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4929 loss: 0.4929 2022/08/05 14:58:25 - mmengine - INFO - Epoch(train) [74][260/314] lr: 1.5683e-01 eta: 4:53:05 time: 0.3400 data_time: 0.0413 memory: 9706 grad_norm: 1.0906 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.5389 loss: 0.5389 2022/08/05 14:58:32 - mmengine - INFO - Epoch(train) [74][280/314] lr: 1.5676e-01 eta: 4:52:59 time: 0.3526 data_time: 0.0441 memory: 9706 grad_norm: 1.1091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4049 loss: 0.4049 2022/08/05 14:58:39 - mmengine - INFO - Epoch(train) [74][300/314] lr: 1.5669e-01 eta: 4:52:53 time: 0.3399 data_time: 0.0415 memory: 9706 grad_norm: 1.0363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4045 loss: 0.4045 2022/08/05 14:58:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 14:58:43 - mmengine - INFO - Epoch(train) [74][314/314] lr: 1.5664e-01 eta: 4:52:53 time: 0.2854 data_time: 0.0349 memory: 9706 grad_norm: 1.0973 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.4459 loss: 0.4459 2022/08/05 14:58:43 - mmengine - INFO - Saving checkpoint at 74 epochs 2022/08/05 14:58:55 - mmengine - INFO - Epoch(train) [75][20/314] lr: 1.5658e-01 eta: 4:52:36 time: 0.4642 data_time: 0.1859 memory: 9706 grad_norm: 1.0428 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4489 loss: 0.4489 2022/08/05 14:59:02 - mmengine - INFO - Epoch(train) [75][40/314] lr: 1.5651e-01 eta: 4:52:30 time: 0.3452 data_time: 0.0488 memory: 9706 grad_norm: 1.0830 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3949 loss: 0.3949 2022/08/05 14:59:08 - mmengine - INFO - Epoch(train) [75][60/314] lr: 1.5644e-01 eta: 4:52:23 time: 0.3385 data_time: 0.0385 memory: 9706 grad_norm: 1.1391 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.5678 loss: 0.5678 2022/08/05 14:59:15 - mmengine - INFO - Epoch(train) [75][80/314] lr: 1.5637e-01 eta: 4:52:17 time: 0.3432 data_time: 0.0386 memory: 9706 grad_norm: 1.1039 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4060 loss: 0.4060 2022/08/05 14:59:22 - mmengine - INFO - Epoch(train) [75][100/314] lr: 1.5630e-01 eta: 4:52:11 time: 0.3518 data_time: 0.0432 memory: 9706 grad_norm: 1.1152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3976 loss: 0.3976 2022/08/05 14:59:29 - mmengine - INFO - Epoch(train) [75][120/314] lr: 1.5623e-01 eta: 4:52:04 time: 0.3463 data_time: 0.0401 memory: 9706 grad_norm: 1.0584 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4614 loss: 0.4614 2022/08/05 14:59:36 - mmengine - INFO - Epoch(train) [75][140/314] lr: 1.5616e-01 eta: 4:51:58 time: 0.3438 data_time: 0.0400 memory: 9706 grad_norm: 1.1115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5203 loss: 0.5203 2022/08/05 14:59:43 - mmengine - INFO - Epoch(train) [75][160/314] lr: 1.5609e-01 eta: 4:51:51 time: 0.3434 data_time: 0.0412 memory: 9706 grad_norm: 1.0393 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5422 loss: 0.5422 2022/08/05 14:59:50 - mmengine - INFO - Epoch(train) [75][180/314] lr: 1.5602e-01 eta: 4:51:45 time: 0.3461 data_time: 0.0439 memory: 9706 grad_norm: 1.0951 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4931 loss: 0.4931 2022/08/05 14:59:57 - mmengine - INFO - Epoch(train) [75][200/314] lr: 1.5595e-01 eta: 4:51:39 time: 0.3455 data_time: 0.0425 memory: 9706 grad_norm: 1.1183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4043 loss: 0.4043 2022/08/05 15:00:04 - mmengine - INFO - Epoch(train) [75][220/314] lr: 1.5589e-01 eta: 4:51:32 time: 0.3406 data_time: 0.0497 memory: 9706 grad_norm: 1.0599 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5028 loss: 0.5028 2022/08/05 15:00:11 - mmengine - INFO - Epoch(train) [75][240/314] lr: 1.5582e-01 eta: 4:51:26 time: 0.3546 data_time: 0.0386 memory: 9706 grad_norm: 1.0274 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5383 loss: 0.5383 2022/08/05 15:00:17 - mmengine - INFO - Epoch(train) [75][260/314] lr: 1.5575e-01 eta: 4:51:19 time: 0.3368 data_time: 0.0416 memory: 9706 grad_norm: 1.0672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3700 loss: 0.3700 2022/08/05 15:00:24 - mmengine - INFO - Epoch(train) [75][280/314] lr: 1.5568e-01 eta: 4:51:13 time: 0.3449 data_time: 0.0507 memory: 9706 grad_norm: 1.0551 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4911 loss: 0.4911 2022/08/05 15:00:31 - mmengine - INFO - Epoch(train) [75][300/314] lr: 1.5561e-01 eta: 4:51:07 time: 0.3451 data_time: 0.0481 memory: 9706 grad_norm: 1.0933 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4690 loss: 0.4690 2022/08/05 15:00:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:00:35 - mmengine - INFO - Epoch(train) [75][314/314] lr: 1.5556e-01 eta: 4:51:07 time: 0.2959 data_time: 0.0411 memory: 9706 grad_norm: 1.0101 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4034 loss: 0.4034 2022/08/05 15:00:35 - mmengine - INFO - Saving checkpoint at 75 epochs 2022/08/05 15:00:47 - mmengine - INFO - Epoch(train) [76][20/314] lr: 1.5549e-01 eta: 4:50:50 time: 0.4607 data_time: 0.1831 memory: 9706 grad_norm: 1.1204 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5533 loss: 0.5533 2022/08/05 15:00:54 - mmengine - INFO - Epoch(train) [76][40/314] lr: 1.5542e-01 eta: 4:50:44 time: 0.3515 data_time: 0.0505 memory: 9706 grad_norm: 1.0791 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4740 loss: 0.4740 2022/08/05 15:01:01 - mmengine - INFO - Epoch(train) [76][60/314] lr: 1.5535e-01 eta: 4:50:38 time: 0.3443 data_time: 0.0477 memory: 9706 grad_norm: 1.0326 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4357 loss: 0.4357 2022/08/05 15:01:08 - mmengine - INFO - Epoch(train) [76][80/314] lr: 1.5528e-01 eta: 4:50:32 time: 0.3502 data_time: 0.0485 memory: 9706 grad_norm: 1.1105 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4536 loss: 0.4536 2022/08/05 15:01:15 - mmengine - INFO - Epoch(train) [76][100/314] lr: 1.5521e-01 eta: 4:50:25 time: 0.3435 data_time: 0.0577 memory: 9706 grad_norm: 1.0246 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3352 loss: 0.3352 2022/08/05 15:01:22 - mmengine - INFO - Epoch(train) [76][120/314] lr: 1.5514e-01 eta: 4:50:19 time: 0.3481 data_time: 0.0434 memory: 9706 grad_norm: 1.0752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4652 loss: 0.4652 2022/08/05 15:01:29 - mmengine - INFO - Epoch(train) [76][140/314] lr: 1.5507e-01 eta: 4:50:12 time: 0.3438 data_time: 0.0561 memory: 9706 grad_norm: 1.0190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4213 loss: 0.4213 2022/08/05 15:01:36 - mmengine - INFO - Epoch(train) [76][160/314] lr: 1.5500e-01 eta: 4:50:06 time: 0.3487 data_time: 0.0494 memory: 9706 grad_norm: 1.0864 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4346 loss: 0.4346 2022/08/05 15:01:42 - mmengine - INFO - Epoch(train) [76][180/314] lr: 1.5494e-01 eta: 4:50:00 time: 0.3390 data_time: 0.0422 memory: 9706 grad_norm: 1.0543 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4131 loss: 0.4131 2022/08/05 15:01:49 - mmengine - INFO - Epoch(train) [76][200/314] lr: 1.5487e-01 eta: 4:49:53 time: 0.3384 data_time: 0.0464 memory: 9706 grad_norm: 1.0327 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3435 loss: 0.3435 2022/08/05 15:01:56 - mmengine - INFO - Epoch(train) [76][220/314] lr: 1.5480e-01 eta: 4:49:47 time: 0.3471 data_time: 0.0490 memory: 9706 grad_norm: 1.1256 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5323 loss: 0.5323 2022/08/05 15:02:03 - mmengine - INFO - Epoch(train) [76][240/314] lr: 1.5473e-01 eta: 4:49:40 time: 0.3344 data_time: 0.0444 memory: 9706 grad_norm: 1.1434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4916 loss: 0.4916 2022/08/05 15:02:10 - mmengine - INFO - Epoch(train) [76][260/314] lr: 1.5466e-01 eta: 4:49:34 time: 0.3514 data_time: 0.0512 memory: 9706 grad_norm: 1.0851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4150 loss: 0.4150 2022/08/05 15:02:17 - mmengine - INFO - Epoch(train) [76][280/314] lr: 1.5459e-01 eta: 4:49:27 time: 0.3388 data_time: 0.0542 memory: 9706 grad_norm: 1.1144 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5345 loss: 0.5345 2022/08/05 15:02:24 - mmengine - INFO - Epoch(train) [76][300/314] lr: 1.5452e-01 eta: 4:49:21 time: 0.3548 data_time: 0.0477 memory: 9706 grad_norm: 1.0867 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5176 loss: 0.5176 2022/08/05 15:02:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:02:27 - mmengine - INFO - Epoch(train) [76][314/314] lr: 1.5447e-01 eta: 4:49:21 time: 0.2978 data_time: 0.0394 memory: 9706 grad_norm: 1.1947 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4479 loss: 0.4479 2022/08/05 15:02:27 - mmengine - INFO - Saving checkpoint at 76 epochs 2022/08/05 15:02:40 - mmengine - INFO - Epoch(train) [77][20/314] lr: 1.5440e-01 eta: 4:49:05 time: 0.4742 data_time: 0.1849 memory: 9706 grad_norm: 1.1361 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5595 loss: 0.5595 2022/08/05 15:02:47 - mmengine - INFO - Epoch(train) [77][40/314] lr: 1.5433e-01 eta: 4:48:59 time: 0.3420 data_time: 0.0394 memory: 9706 grad_norm: 1.0949 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.5298 loss: 0.5298 2022/08/05 15:02:53 - mmengine - INFO - Epoch(train) [77][60/314] lr: 1.5426e-01 eta: 4:48:52 time: 0.3411 data_time: 0.0474 memory: 9706 grad_norm: 1.0224 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3918 loss: 0.3918 2022/08/05 15:03:00 - mmengine - INFO - Epoch(train) [77][80/314] lr: 1.5419e-01 eta: 4:48:46 time: 0.3452 data_time: 0.0476 memory: 9706 grad_norm: 1.1038 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4708 loss: 0.4708 2022/08/05 15:03:07 - mmengine - INFO - Epoch(train) [77][100/314] lr: 1.5412e-01 eta: 4:48:40 time: 0.3526 data_time: 0.0488 memory: 9706 grad_norm: 1.0511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5261 loss: 0.5261 2022/08/05 15:03:14 - mmengine - INFO - Epoch(train) [77][120/314] lr: 1.5405e-01 eta: 4:48:33 time: 0.3436 data_time: 0.0439 memory: 9706 grad_norm: 1.0427 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5077 loss: 0.5077 2022/08/05 15:03:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:03:21 - mmengine - INFO - Epoch(train) [77][140/314] lr: 1.5398e-01 eta: 4:48:27 time: 0.3519 data_time: 0.0391 memory: 9706 grad_norm: 1.0762 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4275 loss: 0.4275 2022/08/05 15:03:28 - mmengine - INFO - Epoch(train) [77][160/314] lr: 1.5391e-01 eta: 4:48:21 time: 0.3500 data_time: 0.0402 memory: 9706 grad_norm: 0.9932 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3683 loss: 0.3683 2022/08/05 15:03:35 - mmengine - INFO - Epoch(train) [77][180/314] lr: 1.5384e-01 eta: 4:48:14 time: 0.3420 data_time: 0.0436 memory: 9706 grad_norm: 1.0953 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4839 loss: 0.4839 2022/08/05 15:03:42 - mmengine - INFO - Epoch(train) [77][200/314] lr: 1.5377e-01 eta: 4:48:09 time: 0.3562 data_time: 0.0448 memory: 9706 grad_norm: 1.0175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3681 loss: 0.3681 2022/08/05 15:03:49 - mmengine - INFO - Epoch(train) [77][220/314] lr: 1.5370e-01 eta: 4:48:02 time: 0.3431 data_time: 0.0381 memory: 9706 grad_norm: 1.0773 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4839 loss: 0.4839 2022/08/05 15:03:56 - mmengine - INFO - Epoch(train) [77][240/314] lr: 1.5363e-01 eta: 4:47:55 time: 0.3382 data_time: 0.0471 memory: 9706 grad_norm: 1.0152 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4191 loss: 0.4191 2022/08/05 15:04:03 - mmengine - INFO - Epoch(train) [77][260/314] lr: 1.5356e-01 eta: 4:47:49 time: 0.3472 data_time: 0.0454 memory: 9706 grad_norm: 1.1142 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5015 loss: 0.5015 2022/08/05 15:04:10 - mmengine - INFO - Epoch(train) [77][280/314] lr: 1.5348e-01 eta: 4:47:43 time: 0.3505 data_time: 0.0411 memory: 9706 grad_norm: 1.0762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5209 loss: 0.5209 2022/08/05 15:04:17 - mmengine - INFO - Epoch(train) [77][300/314] lr: 1.5341e-01 eta: 4:47:37 time: 0.3501 data_time: 0.0447 memory: 9706 grad_norm: 1.0647 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4719 loss: 0.4719 2022/08/05 15:04:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:04:21 - mmengine - INFO - Epoch(train) [77][314/314] lr: 1.5336e-01 eta: 4:47:37 time: 0.2919 data_time: 0.0357 memory: 9706 grad_norm: 1.1007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4724 loss: 0.4724 2022/08/05 15:04:21 - mmengine - INFO - Saving checkpoint at 77 epochs 2022/08/05 15:04:32 - mmengine - INFO - Epoch(train) [78][20/314] lr: 1.5329e-01 eta: 4:47:20 time: 0.4448 data_time: 0.1756 memory: 9706 grad_norm: 1.0844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4634 loss: 0.4634 2022/08/05 15:04:39 - mmengine - INFO - Epoch(train) [78][40/314] lr: 1.5322e-01 eta: 4:47:14 time: 0.3552 data_time: 0.0560 memory: 9706 grad_norm: 1.1030 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3938 loss: 0.3938 2022/08/05 15:04:46 - mmengine - INFO - Epoch(train) [78][60/314] lr: 1.5315e-01 eta: 4:47:07 time: 0.3354 data_time: 0.0436 memory: 9706 grad_norm: 1.0318 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4110 loss: 0.4110 2022/08/05 15:04:53 - mmengine - INFO - Epoch(train) [78][80/314] lr: 1.5308e-01 eta: 4:47:00 time: 0.3422 data_time: 0.0439 memory: 9706 grad_norm: 1.0933 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.3847 loss: 0.3847 2022/08/05 15:05:00 - mmengine - INFO - Epoch(train) [78][100/314] lr: 1.5301e-01 eta: 4:46:54 time: 0.3534 data_time: 0.0432 memory: 9706 grad_norm: 1.2202 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4929 loss: 0.4929 2022/08/05 15:05:06 - mmengine - INFO - Epoch(train) [78][120/314] lr: 1.5294e-01 eta: 4:46:48 time: 0.3357 data_time: 0.0429 memory: 9706 grad_norm: 1.0871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4166 loss: 0.4166 2022/08/05 15:05:13 - mmengine - INFO - Epoch(train) [78][140/314] lr: 1.5287e-01 eta: 4:46:41 time: 0.3435 data_time: 0.0445 memory: 9706 grad_norm: 1.0974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4685 loss: 0.4685 2022/08/05 15:05:20 - mmengine - INFO - Epoch(train) [78][160/314] lr: 1.5280e-01 eta: 4:46:35 time: 0.3501 data_time: 0.0505 memory: 9706 grad_norm: 1.0995 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3684 loss: 0.3684 2022/08/05 15:05:27 - mmengine - INFO - Epoch(train) [78][180/314] lr: 1.5273e-01 eta: 4:46:28 time: 0.3398 data_time: 0.0395 memory: 9706 grad_norm: 0.9957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4073 loss: 0.4073 2022/08/05 15:05:34 - mmengine - INFO - Epoch(train) [78][200/314] lr: 1.5266e-01 eta: 4:46:22 time: 0.3507 data_time: 0.0422 memory: 9706 grad_norm: 1.0552 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4827 loss: 0.4827 2022/08/05 15:05:41 - mmengine - INFO - Epoch(train) [78][220/314] lr: 1.5259e-01 eta: 4:46:16 time: 0.3463 data_time: 0.0427 memory: 9706 grad_norm: 1.1266 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3711 loss: 0.3711 2022/08/05 15:05:48 - mmengine - INFO - Epoch(train) [78][240/314] lr: 1.5252e-01 eta: 4:46:09 time: 0.3370 data_time: 0.0409 memory: 9706 grad_norm: 1.0868 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4233 loss: 0.4233 2022/08/05 15:05:55 - mmengine - INFO - Epoch(train) [78][260/314] lr: 1.5245e-01 eta: 4:46:03 time: 0.3565 data_time: 0.0418 memory: 9706 grad_norm: 1.0300 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3572 loss: 0.3572 2022/08/05 15:06:02 - mmengine - INFO - Epoch(train) [78][280/314] lr: 1.5237e-01 eta: 4:45:57 time: 0.3458 data_time: 0.0433 memory: 9706 grad_norm: 1.0589 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5192 loss: 0.5192 2022/08/05 15:06:09 - mmengine - INFO - Epoch(train) [78][300/314] lr: 1.5230e-01 eta: 4:45:50 time: 0.3371 data_time: 0.0490 memory: 9706 grad_norm: 1.0401 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4521 loss: 0.4521 2022/08/05 15:06:12 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:06:12 - mmengine - INFO - Epoch(train) [78][314/314] lr: 1.5225e-01 eta: 4:45:50 time: 0.2927 data_time: 0.0439 memory: 9706 grad_norm: 1.0882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4228 loss: 0.4228 2022/08/05 15:06:12 - mmengine - INFO - Saving checkpoint at 78 epochs 2022/08/05 15:06:25 - mmengine - INFO - Epoch(train) [79][20/314] lr: 1.5218e-01 eta: 4:45:35 time: 0.4804 data_time: 0.1983 memory: 9706 grad_norm: 1.1296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4632 loss: 0.4632 2022/08/05 15:06:31 - mmengine - INFO - Epoch(train) [79][40/314] lr: 1.5211e-01 eta: 4:45:28 time: 0.3380 data_time: 0.0455 memory: 9706 grad_norm: 1.0332 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4573 loss: 0.4573 2022/08/05 15:06:38 - mmengine - INFO - Epoch(train) [79][60/314] lr: 1.5204e-01 eta: 4:45:21 time: 0.3387 data_time: 0.0557 memory: 9706 grad_norm: 1.0842 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4654 loss: 0.4654 2022/08/05 15:06:45 - mmengine - INFO - Epoch(train) [79][80/314] lr: 1.5197e-01 eta: 4:45:15 time: 0.3489 data_time: 0.0519 memory: 9706 grad_norm: 1.1257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3853 loss: 0.3853 2022/08/05 15:06:52 - mmengine - INFO - Epoch(train) [79][100/314] lr: 1.5190e-01 eta: 4:45:09 time: 0.3413 data_time: 0.0454 memory: 9706 grad_norm: 1.0271 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5005 loss: 0.5005 2022/08/05 15:06:59 - mmengine - INFO - Epoch(train) [79][120/314] lr: 1.5183e-01 eta: 4:45:02 time: 0.3438 data_time: 0.0421 memory: 9706 grad_norm: 1.1058 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4595 loss: 0.4595 2022/08/05 15:07:06 - mmengine - INFO - Epoch(train) [79][140/314] lr: 1.5175e-01 eta: 4:44:56 time: 0.3471 data_time: 0.0469 memory: 9706 grad_norm: 1.0353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.5267 loss: 0.5267 2022/08/05 15:07:13 - mmengine - INFO - Epoch(train) [79][160/314] lr: 1.5168e-01 eta: 4:44:50 time: 0.3528 data_time: 0.0393 memory: 9706 grad_norm: 1.1118 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4763 loss: 0.4763 2022/08/05 15:07:20 - mmengine - INFO - Epoch(train) [79][180/314] lr: 1.5161e-01 eta: 4:44:43 time: 0.3465 data_time: 0.0407 memory: 9706 grad_norm: 1.0717 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5008 loss: 0.5008 2022/08/05 15:07:27 - mmengine - INFO - Epoch(train) [79][200/314] lr: 1.5154e-01 eta: 4:44:37 time: 0.3445 data_time: 0.0418 memory: 9706 grad_norm: 1.1022 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5279 loss: 0.5279 2022/08/05 15:07:34 - mmengine - INFO - Epoch(train) [79][220/314] lr: 1.5147e-01 eta: 4:44:31 time: 0.3490 data_time: 0.0498 memory: 9706 grad_norm: 1.0288 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3758 loss: 0.3758 2022/08/05 15:07:41 - mmengine - INFO - Epoch(train) [79][240/314] lr: 1.5140e-01 eta: 4:44:24 time: 0.3456 data_time: 0.0595 memory: 9706 grad_norm: 1.0778 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4179 loss: 0.4179 2022/08/05 15:07:47 - mmengine - INFO - Epoch(train) [79][260/314] lr: 1.5133e-01 eta: 4:44:18 time: 0.3470 data_time: 0.0438 memory: 9706 grad_norm: 1.0671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4247 loss: 0.4247 2022/08/05 15:07:55 - mmengine - INFO - Epoch(train) [79][280/314] lr: 1.5125e-01 eta: 4:44:12 time: 0.3546 data_time: 0.0435 memory: 9706 grad_norm: 1.0848 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4414 loss: 0.4414 2022/08/05 15:08:01 - mmengine - INFO - Epoch(train) [79][300/314] lr: 1.5118e-01 eta: 4:44:05 time: 0.3452 data_time: 0.0423 memory: 9706 grad_norm: 1.0764 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4732 loss: 0.4732 2022/08/05 15:08:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:08:05 - mmengine - INFO - Epoch(train) [79][314/314] lr: 1.5113e-01 eta: 4:44:05 time: 0.2870 data_time: 0.0369 memory: 9706 grad_norm: 1.1719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4236 loss: 0.4236 2022/08/05 15:08:05 - mmengine - INFO - Saving checkpoint at 79 epochs 2022/08/05 15:08:17 - mmengine - INFO - Epoch(train) [80][20/314] lr: 1.5106e-01 eta: 4:43:50 time: 0.4625 data_time: 0.1760 memory: 9706 grad_norm: 1.1052 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4593 loss: 0.4593 2022/08/05 15:08:24 - mmengine - INFO - Epoch(train) [80][40/314] lr: 1.5099e-01 eta: 4:43:43 time: 0.3493 data_time: 0.0432 memory: 9706 grad_norm: 1.0769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3933 loss: 0.3933 2022/08/05 15:08:31 - mmengine - INFO - Epoch(train) [80][60/314] lr: 1.5092e-01 eta: 4:43:37 time: 0.3374 data_time: 0.0431 memory: 9706 grad_norm: 1.1507 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4406 loss: 0.4406 2022/08/05 15:08:38 - mmengine - INFO - Epoch(train) [80][80/314] lr: 1.5085e-01 eta: 4:43:30 time: 0.3450 data_time: 0.0506 memory: 9706 grad_norm: 1.0449 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5016 loss: 0.5016 2022/08/05 15:08:45 - mmengine - INFO - Epoch(train) [80][100/314] lr: 1.5077e-01 eta: 4:43:24 time: 0.3445 data_time: 0.0490 memory: 9706 grad_norm: 1.0461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3401 loss: 0.3401 2022/08/05 15:08:52 - mmengine - INFO - Epoch(train) [80][120/314] lr: 1.5070e-01 eta: 4:43:17 time: 0.3402 data_time: 0.0451 memory: 9706 grad_norm: 1.1238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4663 loss: 0.4663 2022/08/05 15:08:59 - mmengine - INFO - Epoch(train) [80][140/314] lr: 1.5063e-01 eta: 4:43:11 time: 0.3426 data_time: 0.0439 memory: 9706 grad_norm: 1.0024 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4276 loss: 0.4276 2022/08/05 15:09:05 - mmengine - INFO - Epoch(train) [80][160/314] lr: 1.5056e-01 eta: 4:43:04 time: 0.3450 data_time: 0.0485 memory: 9706 grad_norm: 1.0440 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4830 loss: 0.4830 2022/08/05 15:09:12 - mmengine - INFO - Epoch(train) [80][180/314] lr: 1.5049e-01 eta: 4:42:58 time: 0.3450 data_time: 0.0594 memory: 9706 grad_norm: 1.1332 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5283 loss: 0.5283 2022/08/05 15:09:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:09:19 - mmengine - INFO - Epoch(train) [80][200/314] lr: 1.5041e-01 eta: 4:42:52 time: 0.3559 data_time: 0.0453 memory: 9706 grad_norm: 1.1189 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4319 loss: 0.4319 2022/08/05 15:09:26 - mmengine - INFO - Epoch(train) [80][220/314] lr: 1.5034e-01 eta: 4:42:45 time: 0.3419 data_time: 0.0453 memory: 9706 grad_norm: 1.0762 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5594 loss: 0.5594 2022/08/05 15:09:33 - mmengine - INFO - Epoch(train) [80][240/314] lr: 1.5027e-01 eta: 4:42:39 time: 0.3412 data_time: 0.0414 memory: 9706 grad_norm: 1.0367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3984 loss: 0.3984 2022/08/05 15:09:40 - mmengine - INFO - Epoch(train) [80][260/314] lr: 1.5020e-01 eta: 4:42:33 time: 0.3580 data_time: 0.0443 memory: 9706 grad_norm: 1.0966 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4070 loss: 0.4070 2022/08/05 15:09:47 - mmengine - INFO - Epoch(train) [80][280/314] lr: 1.5013e-01 eta: 4:42:26 time: 0.3477 data_time: 0.0419 memory: 9706 grad_norm: 1.0233 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3673 loss: 0.3673 2022/08/05 15:09:54 - mmengine - INFO - Epoch(train) [80][300/314] lr: 1.5005e-01 eta: 4:42:20 time: 0.3398 data_time: 0.0480 memory: 9706 grad_norm: 1.0440 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4953 loss: 0.4953 2022/08/05 15:09:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:09:58 - mmengine - INFO - Epoch(train) [80][314/314] lr: 1.5000e-01 eta: 4:42:20 time: 0.2917 data_time: 0.0396 memory: 9706 grad_norm: 1.0768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4479 loss: 0.4479 2022/08/05 15:09:58 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/05 15:10:10 - mmengine - INFO - Epoch(val) [80][20/129] eta: 0:00:51 time: 0.4711 data_time: 0.2847 memory: 1867 2022/08/05 15:10:16 - mmengine - INFO - Epoch(val) [80][40/129] eta: 0:00:28 time: 0.3209 data_time: 0.1362 memory: 1867 2022/08/05 15:10:24 - mmengine - INFO - Epoch(val) [80][60/129] eta: 0:00:25 time: 0.3655 data_time: 0.1789 memory: 1867 2022/08/05 15:10:30 - mmengine - INFO - Epoch(val) [80][80/129] eta: 0:00:15 time: 0.3117 data_time: 0.1293 memory: 1867 2022/08/05 15:10:36 - mmengine - INFO - Epoch(val) [80][100/129] eta: 0:00:09 time: 0.3263 data_time: 0.1436 memory: 1867 2022/08/05 15:10:42 - mmengine - INFO - Epoch(val) [80][120/129] eta: 0:00:02 time: 0.2837 data_time: 0.1155 memory: 1867 2022/08/05 15:10:44 - mmengine - INFO - Epoch(val) [80][129/129] acc/top1: 0.8331 acc/top5: 0.9804 acc/mean1: 0.8330 2022/08/05 15:10:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_61.pth is removed 2022/08/05 15:10:47 - mmengine - INFO - The best checkpoint with 0.8331 acc/top1 at 81 epoch is saved to best_acc/top1_epoch_81.pth. 2022/08/05 15:10:56 - mmengine - INFO - Epoch(train) [81][20/314] lr: 1.4993e-01 eta: 4:42:04 time: 0.4720 data_time: 0.1859 memory: 9706 grad_norm: 1.0843 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4034 loss: 0.4034 2022/08/05 15:11:03 - mmengine - INFO - Epoch(train) [81][40/314] lr: 1.4986e-01 eta: 4:41:58 time: 0.3409 data_time: 0.0396 memory: 9706 grad_norm: 1.1185 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5189 loss: 0.5189 2022/08/05 15:11:10 - mmengine - INFO - Epoch(train) [81][60/314] lr: 1.4979e-01 eta: 4:41:51 time: 0.3421 data_time: 0.0440 memory: 9706 grad_norm: 1.0070 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4505 loss: 0.4505 2022/08/05 15:11:17 - mmengine - INFO - Epoch(train) [81][80/314] lr: 1.4971e-01 eta: 4:41:44 time: 0.3373 data_time: 0.0439 memory: 9706 grad_norm: 1.0570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3878 loss: 0.3878 2022/08/05 15:11:23 - mmengine - INFO - Epoch(train) [81][100/314] lr: 1.4964e-01 eta: 4:41:38 time: 0.3440 data_time: 0.0405 memory: 9706 grad_norm: 1.0561 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4429 loss: 0.4429 2022/08/05 15:11:30 - mmengine - INFO - Epoch(train) [81][120/314] lr: 1.4957e-01 eta: 4:41:32 time: 0.3444 data_time: 0.0485 memory: 9706 grad_norm: 1.1048 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4554 loss: 0.4554 2022/08/05 15:11:37 - mmengine - INFO - Epoch(train) [81][140/314] lr: 1.4950e-01 eta: 4:41:25 time: 0.3454 data_time: 0.0462 memory: 9706 grad_norm: 1.0839 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4798 loss: 0.4798 2022/08/05 15:11:44 - mmengine - INFO - Epoch(train) [81][160/314] lr: 1.4942e-01 eta: 4:41:19 time: 0.3471 data_time: 0.0458 memory: 9706 grad_norm: 1.1357 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3948 loss: 0.3948 2022/08/05 15:11:51 - mmengine - INFO - Epoch(train) [81][180/314] lr: 1.4935e-01 eta: 4:41:12 time: 0.3470 data_time: 0.0416 memory: 9706 grad_norm: 1.0568 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5333 loss: 0.5333 2022/08/05 15:11:58 - mmengine - INFO - Epoch(train) [81][200/314] lr: 1.4928e-01 eta: 4:41:06 time: 0.3417 data_time: 0.0426 memory: 9706 grad_norm: 1.1291 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4042 loss: 0.4042 2022/08/05 15:12:05 - mmengine - INFO - Epoch(train) [81][220/314] lr: 1.4921e-01 eta: 4:40:59 time: 0.3447 data_time: 0.0430 memory: 9706 grad_norm: 1.1229 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4266 loss: 0.4266 2022/08/05 15:12:12 - mmengine - INFO - Epoch(train) [81][240/314] lr: 1.4913e-01 eta: 4:40:53 time: 0.3510 data_time: 0.0449 memory: 9706 grad_norm: 1.0360 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.4015 loss: 0.4015 2022/08/05 15:12:19 - mmengine - INFO - Epoch(train) [81][260/314] lr: 1.4906e-01 eta: 4:40:47 time: 0.3413 data_time: 0.0396 memory: 9706 grad_norm: 1.0185 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4696 loss: 0.4696 2022/08/05 15:12:26 - mmengine - INFO - Epoch(train) [81][280/314] lr: 1.4899e-01 eta: 4:40:40 time: 0.3469 data_time: 0.0487 memory: 9706 grad_norm: 1.0579 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5372 loss: 0.5372 2022/08/05 15:12:32 - mmengine - INFO - Epoch(train) [81][300/314] lr: 1.4892e-01 eta: 4:40:34 time: 0.3374 data_time: 0.0437 memory: 9706 grad_norm: 1.0903 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4038 loss: 0.4038 2022/08/05 15:12:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:12:36 - mmengine - INFO - Epoch(train) [81][314/314] lr: 1.4887e-01 eta: 4:40:34 time: 0.2924 data_time: 0.0388 memory: 9706 grad_norm: 1.1545 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4502 loss: 0.4502 2022/08/05 15:12:36 - mmengine - INFO - Saving checkpoint at 81 epochs 2022/08/05 15:12:48 - mmengine - INFO - Epoch(train) [82][20/314] lr: 1.4879e-01 eta: 4:40:18 time: 0.4574 data_time: 0.1830 memory: 9706 grad_norm: 1.1055 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4416 loss: 0.4416 2022/08/05 15:12:55 - mmengine - INFO - Epoch(train) [82][40/314] lr: 1.4872e-01 eta: 4:40:11 time: 0.3526 data_time: 0.0412 memory: 9706 grad_norm: 1.0937 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4933 loss: 0.4933 2022/08/05 15:13:02 - mmengine - INFO - Epoch(train) [82][60/314] lr: 1.4865e-01 eta: 4:40:05 time: 0.3449 data_time: 0.0423 memory: 9706 grad_norm: 1.0583 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5013 loss: 0.5013 2022/08/05 15:13:09 - mmengine - INFO - Epoch(train) [82][80/314] lr: 1.4857e-01 eta: 4:39:58 time: 0.3407 data_time: 0.0463 memory: 9706 grad_norm: 1.1258 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4798 loss: 0.4798 2022/08/05 15:13:16 - mmengine - INFO - Epoch(train) [82][100/314] lr: 1.4850e-01 eta: 4:39:52 time: 0.3452 data_time: 0.0413 memory: 9706 grad_norm: 1.1024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4790 loss: 0.4790 2022/08/05 15:13:23 - mmengine - INFO - Epoch(train) [82][120/314] lr: 1.4843e-01 eta: 4:39:46 time: 0.3444 data_time: 0.0497 memory: 9706 grad_norm: 1.0337 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4156 loss: 0.4156 2022/08/05 15:13:30 - mmengine - INFO - Epoch(train) [82][140/314] lr: 1.4836e-01 eta: 4:39:39 time: 0.3495 data_time: 0.0395 memory: 9706 grad_norm: 1.0992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4760 loss: 0.4760 2022/08/05 15:13:36 - mmengine - INFO - Epoch(train) [82][160/314] lr: 1.4828e-01 eta: 4:39:33 time: 0.3374 data_time: 0.0438 memory: 9706 grad_norm: 1.0444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3896 loss: 0.3896 2022/08/05 15:13:43 - mmengine - INFO - Epoch(train) [82][180/314] lr: 1.4821e-01 eta: 4:39:26 time: 0.3480 data_time: 0.0505 memory: 9706 grad_norm: 1.0946 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4663 loss: 0.4663 2022/08/05 15:13:50 - mmengine - INFO - Epoch(train) [82][200/314] lr: 1.4814e-01 eta: 4:39:20 time: 0.3508 data_time: 0.0408 memory: 9706 grad_norm: 1.0640 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4211 loss: 0.4211 2022/08/05 15:13:57 - mmengine - INFO - Epoch(train) [82][220/314] lr: 1.4806e-01 eta: 4:39:14 time: 0.3513 data_time: 0.0416 memory: 9706 grad_norm: 1.0139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4118 loss: 0.4118 2022/08/05 15:14:04 - mmengine - INFO - Epoch(train) [82][240/314] lr: 1.4799e-01 eta: 4:39:07 time: 0.3412 data_time: 0.0435 memory: 9706 grad_norm: 1.0994 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4576 loss: 0.4576 2022/08/05 15:14:11 - mmengine - INFO - Epoch(train) [82][260/314] lr: 1.4792e-01 eta: 4:39:01 time: 0.3457 data_time: 0.0530 memory: 9706 grad_norm: 1.0897 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4506 loss: 0.4506 2022/08/05 15:14:18 - mmengine - INFO - Epoch(train) [82][280/314] lr: 1.4784e-01 eta: 4:38:54 time: 0.3408 data_time: 0.0450 memory: 9706 grad_norm: 1.1267 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4443 loss: 0.4443 2022/08/05 15:14:25 - mmengine - INFO - Epoch(train) [82][300/314] lr: 1.4777e-01 eta: 4:38:48 time: 0.3407 data_time: 0.0471 memory: 9706 grad_norm: 1.1577 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5233 loss: 0.5233 2022/08/05 15:14:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:14:29 - mmengine - INFO - Epoch(train) [82][314/314] lr: 1.4772e-01 eta: 4:38:48 time: 0.2872 data_time: 0.0360 memory: 9706 grad_norm: 1.1820 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5746 loss: 0.5746 2022/08/05 15:14:29 - mmengine - INFO - Saving checkpoint at 82 epochs 2022/08/05 15:14:40 - mmengine - INFO - Epoch(train) [83][20/314] lr: 1.4765e-01 eta: 4:38:32 time: 0.4596 data_time: 0.1727 memory: 9706 grad_norm: 1.1242 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5069 loss: 0.5069 2022/08/05 15:14:47 - mmengine - INFO - Epoch(train) [83][40/314] lr: 1.4757e-01 eta: 4:38:25 time: 0.3438 data_time: 0.0576 memory: 9706 grad_norm: 1.0216 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3619 loss: 0.3619 2022/08/05 15:14:54 - mmengine - INFO - Epoch(train) [83][60/314] lr: 1.4750e-01 eta: 4:38:19 time: 0.3430 data_time: 0.0543 memory: 9706 grad_norm: 1.0688 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5131 loss: 0.5131 2022/08/05 15:15:01 - mmengine - INFO - Epoch(train) [83][80/314] lr: 1.4743e-01 eta: 4:38:13 time: 0.3493 data_time: 0.0508 memory: 9706 grad_norm: 1.0375 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4172 loss: 0.4172 2022/08/05 15:15:08 - mmengine - INFO - Epoch(train) [83][100/314] lr: 1.4735e-01 eta: 4:38:06 time: 0.3429 data_time: 0.0435 memory: 9706 grad_norm: 1.0604 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5615 loss: 0.5615 2022/08/05 15:15:15 - mmengine - INFO - Epoch(train) [83][120/314] lr: 1.4728e-01 eta: 4:38:00 time: 0.3464 data_time: 0.0412 memory: 9706 grad_norm: 1.0871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4988 loss: 0.4988 2022/08/05 15:15:22 - mmengine - INFO - Epoch(train) [83][140/314] lr: 1.4721e-01 eta: 4:37:53 time: 0.3474 data_time: 0.0394 memory: 9706 grad_norm: 1.0523 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4760 loss: 0.4760 2022/08/05 15:15:29 - mmengine - INFO - Epoch(train) [83][160/314] lr: 1.4713e-01 eta: 4:37:47 time: 0.3485 data_time: 0.0395 memory: 9706 grad_norm: 1.0969 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4101 loss: 0.4101 2022/08/05 15:15:36 - mmengine - INFO - Epoch(train) [83][180/314] lr: 1.4706e-01 eta: 4:37:41 time: 0.3575 data_time: 0.0407 memory: 9706 grad_norm: 1.0282 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4596 loss: 0.4596 2022/08/05 15:15:43 - mmengine - INFO - Epoch(train) [83][200/314] lr: 1.4699e-01 eta: 4:37:34 time: 0.3325 data_time: 0.0439 memory: 9706 grad_norm: 1.0949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4285 loss: 0.4285 2022/08/05 15:15:50 - mmengine - INFO - Epoch(train) [83][220/314] lr: 1.4691e-01 eta: 4:37:28 time: 0.3530 data_time: 0.0525 memory: 9706 grad_norm: 1.1263 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4413 loss: 0.4413 2022/08/05 15:15:56 - mmengine - INFO - Epoch(train) [83][240/314] lr: 1.4684e-01 eta: 4:37:21 time: 0.3377 data_time: 0.0459 memory: 9706 grad_norm: 1.0567 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4070 loss: 0.4070 2022/08/05 15:16:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:16:03 - mmengine - INFO - Epoch(train) [83][260/314] lr: 1.4676e-01 eta: 4:37:15 time: 0.3471 data_time: 0.0406 memory: 9706 grad_norm: 1.0370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3810 loss: 0.3810 2022/08/05 15:16:10 - mmengine - INFO - Epoch(train) [83][280/314] lr: 1.4669e-01 eta: 4:37:09 time: 0.3489 data_time: 0.0519 memory: 9706 grad_norm: 1.0771 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4999 loss: 0.4999 2022/08/05 15:16:17 - mmengine - INFO - Epoch(train) [83][300/314] lr: 1.4662e-01 eta: 4:37:02 time: 0.3354 data_time: 0.0411 memory: 9706 grad_norm: 1.0261 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3881 loss: 0.3881 2022/08/05 15:16:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:16:21 - mmengine - INFO - Epoch(train) [83][314/314] lr: 1.4657e-01 eta: 4:37:02 time: 0.2902 data_time: 0.0366 memory: 9706 grad_norm: 1.1866 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4755 loss: 0.4755 2022/08/05 15:16:21 - mmengine - INFO - Saving checkpoint at 83 epochs 2022/08/05 15:16:32 - mmengine - INFO - Epoch(train) [84][20/314] lr: 1.4649e-01 eta: 4:36:46 time: 0.4451 data_time: 0.1729 memory: 9706 grad_norm: 1.1429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5739 loss: 0.5739 2022/08/05 15:16:39 - mmengine - INFO - Epoch(train) [84][40/314] lr: 1.4642e-01 eta: 4:36:39 time: 0.3430 data_time: 0.0409 memory: 9706 grad_norm: 1.0562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3896 loss: 0.3896 2022/08/05 15:16:46 - mmengine - INFO - Epoch(train) [84][60/314] lr: 1.4634e-01 eta: 4:36:33 time: 0.3452 data_time: 0.0415 memory: 9706 grad_norm: 1.0701 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4527 loss: 0.4527 2022/08/05 15:16:53 - mmengine - INFO - Epoch(train) [84][80/314] lr: 1.4627e-01 eta: 4:36:26 time: 0.3487 data_time: 0.0447 memory: 9706 grad_norm: 1.0894 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4378 loss: 0.4378 2022/08/05 15:17:00 - mmengine - INFO - Epoch(train) [84][100/314] lr: 1.4620e-01 eta: 4:36:20 time: 0.3469 data_time: 0.0522 memory: 9706 grad_norm: 1.1520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3703 loss: 0.3703 2022/08/05 15:17:07 - mmengine - INFO - Epoch(train) [84][120/314] lr: 1.4612e-01 eta: 4:36:13 time: 0.3423 data_time: 0.0483 memory: 9706 grad_norm: 1.1076 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5233 loss: 0.5233 2022/08/05 15:17:14 - mmengine - INFO - Epoch(train) [84][140/314] lr: 1.4605e-01 eta: 4:36:07 time: 0.3450 data_time: 0.0423 memory: 9706 grad_norm: 1.0913 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3583 loss: 0.3583 2022/08/05 15:17:21 - mmengine - INFO - Epoch(train) [84][160/314] lr: 1.4597e-01 eta: 4:36:01 time: 0.3492 data_time: 0.0498 memory: 9706 grad_norm: 1.0727 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4192 loss: 0.4192 2022/08/05 15:17:28 - mmengine - INFO - Epoch(train) [84][180/314] lr: 1.4590e-01 eta: 4:35:54 time: 0.3445 data_time: 0.0416 memory: 9706 grad_norm: 1.0946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4397 loss: 0.4397 2022/08/05 15:17:35 - mmengine - INFO - Epoch(train) [84][200/314] lr: 1.4583e-01 eta: 4:35:48 time: 0.3476 data_time: 0.0402 memory: 9706 grad_norm: 1.0798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3636 loss: 0.3636 2022/08/05 15:17:42 - mmengine - INFO - Epoch(train) [84][220/314] lr: 1.4575e-01 eta: 4:35:42 time: 0.3531 data_time: 0.0415 memory: 9706 grad_norm: 1.1280 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3461 loss: 0.3461 2022/08/05 15:17:49 - mmengine - INFO - Epoch(train) [84][240/314] lr: 1.4568e-01 eta: 4:35:35 time: 0.3416 data_time: 0.0495 memory: 9706 grad_norm: 1.0280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3920 loss: 0.3920 2022/08/05 15:17:55 - mmengine - INFO - Epoch(train) [84][260/314] lr: 1.4560e-01 eta: 4:35:29 time: 0.3443 data_time: 0.0458 memory: 9706 grad_norm: 1.1492 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5365 loss: 0.5365 2022/08/05 15:18:02 - mmengine - INFO - Epoch(train) [84][280/314] lr: 1.4553e-01 eta: 4:35:22 time: 0.3411 data_time: 0.0457 memory: 9706 grad_norm: 1.0356 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4114 loss: 0.4114 2022/08/05 15:18:09 - mmengine - INFO - Epoch(train) [84][300/314] lr: 1.4545e-01 eta: 4:35:16 time: 0.3463 data_time: 0.0393 memory: 9706 grad_norm: 1.0318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4066 loss: 0.4066 2022/08/05 15:18:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:18:13 - mmengine - INFO - Epoch(train) [84][314/314] lr: 1.4540e-01 eta: 4:35:16 time: 0.2913 data_time: 0.0367 memory: 9706 grad_norm: 1.1028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4325 loss: 0.4325 2022/08/05 15:18:13 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/05 15:18:25 - mmengine - INFO - Epoch(train) [85][20/314] lr: 1.4533e-01 eta: 4:35:00 time: 0.4501 data_time: 0.1580 memory: 9706 grad_norm: 1.1223 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.3870 loss: 0.3870 2022/08/05 15:18:32 - mmengine - INFO - Epoch(train) [85][40/314] lr: 1.4525e-01 eta: 4:34:53 time: 0.3483 data_time: 0.0459 memory: 9706 grad_norm: 1.1530 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4898 loss: 0.4898 2022/08/05 15:18:38 - mmengine - INFO - Epoch(train) [85][60/314] lr: 1.4518e-01 eta: 4:34:47 time: 0.3418 data_time: 0.0428 memory: 9706 grad_norm: 1.1079 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4669 loss: 0.4669 2022/08/05 15:18:45 - mmengine - INFO - Epoch(train) [85][80/314] lr: 1.4511e-01 eta: 4:34:40 time: 0.3393 data_time: 0.0436 memory: 9706 grad_norm: 1.1353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3691 loss: 0.3691 2022/08/05 15:18:52 - mmengine - INFO - Epoch(train) [85][100/314] lr: 1.4503e-01 eta: 4:34:34 time: 0.3620 data_time: 0.0444 memory: 9706 grad_norm: 1.0630 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4047 loss: 0.4047 2022/08/05 15:18:59 - mmengine - INFO - Epoch(train) [85][120/314] lr: 1.4496e-01 eta: 4:34:28 time: 0.3390 data_time: 0.0403 memory: 9706 grad_norm: 1.0256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3419 loss: 0.3419 2022/08/05 15:19:06 - mmengine - INFO - Epoch(train) [85][140/314] lr: 1.4488e-01 eta: 4:34:21 time: 0.3432 data_time: 0.0439 memory: 9706 grad_norm: 1.1594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3999 loss: 0.3999 2022/08/05 15:19:13 - mmengine - INFO - Epoch(train) [85][160/314] lr: 1.4481e-01 eta: 4:34:15 time: 0.3409 data_time: 0.0441 memory: 9706 grad_norm: 1.0573 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3940 loss: 0.3940 2022/08/05 15:19:20 - mmengine - INFO - Epoch(train) [85][180/314] lr: 1.4473e-01 eta: 4:34:08 time: 0.3545 data_time: 0.0596 memory: 9706 grad_norm: 1.0684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4394 loss: 0.4394 2022/08/05 15:19:27 - mmengine - INFO - Epoch(train) [85][200/314] lr: 1.4466e-01 eta: 4:34:02 time: 0.3443 data_time: 0.0423 memory: 9706 grad_norm: 1.0547 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4396 loss: 0.4396 2022/08/05 15:19:34 - mmengine - INFO - Epoch(train) [85][220/314] lr: 1.4458e-01 eta: 4:33:56 time: 0.3485 data_time: 0.0429 memory: 9706 grad_norm: 1.1802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4161 loss: 0.4161 2022/08/05 15:19:41 - mmengine - INFO - Epoch(train) [85][240/314] lr: 1.4451e-01 eta: 4:33:49 time: 0.3471 data_time: 0.0477 memory: 9706 grad_norm: 1.0826 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4183 loss: 0.4183 2022/08/05 15:19:48 - mmengine - INFO - Epoch(train) [85][260/314] lr: 1.4443e-01 eta: 4:33:43 time: 0.3451 data_time: 0.0438 memory: 9706 grad_norm: 1.0445 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3238 loss: 0.3238 2022/08/05 15:19:55 - mmengine - INFO - Epoch(train) [85][280/314] lr: 1.4436e-01 eta: 4:33:37 time: 0.3495 data_time: 0.0454 memory: 9706 grad_norm: 1.0418 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4209 loss: 0.4209 2022/08/05 15:20:02 - mmengine - INFO - Epoch(train) [85][300/314] lr: 1.4428e-01 eta: 4:33:30 time: 0.3424 data_time: 0.0422 memory: 9706 grad_norm: 1.0810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4601 loss: 0.4601 2022/08/05 15:20:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:20:05 - mmengine - INFO - Epoch(train) [85][314/314] lr: 1.4423e-01 eta: 4:33:30 time: 0.2904 data_time: 0.0402 memory: 9706 grad_norm: 1.2027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4707 loss: 0.4707 2022/08/05 15:20:05 - mmengine - INFO - Saving checkpoint at 85 epochs 2022/08/05 15:20:17 - mmengine - INFO - Epoch(train) [86][20/314] lr: 1.4416e-01 eta: 4:33:15 time: 0.4640 data_time: 0.1827 memory: 9706 grad_norm: 1.1692 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3884 loss: 0.3884 2022/08/05 15:20:24 - mmengine - INFO - Epoch(train) [86][40/314] lr: 1.4408e-01 eta: 4:33:08 time: 0.3417 data_time: 0.0383 memory: 9706 grad_norm: 1.1863 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5031 loss: 0.5031 2022/08/05 15:20:31 - mmengine - INFO - Epoch(train) [86][60/314] lr: 1.4401e-01 eta: 4:33:02 time: 0.3503 data_time: 0.0507 memory: 9706 grad_norm: 1.0038 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4349 loss: 0.4349 2022/08/05 15:20:38 - mmengine - INFO - Epoch(train) [86][80/314] lr: 1.4393e-01 eta: 4:32:55 time: 0.3367 data_time: 0.0469 memory: 9706 grad_norm: 1.1078 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4480 loss: 0.4480 2022/08/05 15:20:45 - mmengine - INFO - Epoch(train) [86][100/314] lr: 1.4386e-01 eta: 4:32:49 time: 0.3471 data_time: 0.0479 memory: 9706 grad_norm: 1.0966 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4035 loss: 0.4035 2022/08/05 15:20:52 - mmengine - INFO - Epoch(train) [86][120/314] lr: 1.4378e-01 eta: 4:32:42 time: 0.3418 data_time: 0.0404 memory: 9706 grad_norm: 1.2300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5922 loss: 0.5922 2022/08/05 15:20:58 - mmengine - INFO - Epoch(train) [86][140/314] lr: 1.4371e-01 eta: 4:32:35 time: 0.3409 data_time: 0.0495 memory: 9706 grad_norm: 1.0456 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3824 loss: 0.3824 2022/08/05 15:21:05 - mmengine - INFO - Epoch(train) [86][160/314] lr: 1.4363e-01 eta: 4:32:29 time: 0.3459 data_time: 0.0456 memory: 9706 grad_norm: 1.0253 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3638 loss: 0.3638 2022/08/05 15:21:12 - mmengine - INFO - Epoch(train) [86][180/314] lr: 1.4356e-01 eta: 4:32:23 time: 0.3438 data_time: 0.0480 memory: 9706 grad_norm: 1.0569 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3953 loss: 0.3953 2022/08/05 15:21:19 - mmengine - INFO - Epoch(train) [86][200/314] lr: 1.4348e-01 eta: 4:32:16 time: 0.3438 data_time: 0.0448 memory: 9706 grad_norm: 1.0640 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4287 loss: 0.4287 2022/08/05 15:21:26 - mmengine - INFO - Epoch(train) [86][220/314] lr: 1.4341e-01 eta: 4:32:10 time: 0.3453 data_time: 0.0458 memory: 9706 grad_norm: 1.0731 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3885 loss: 0.3885 2022/08/05 15:21:33 - mmengine - INFO - Epoch(train) [86][240/314] lr: 1.4333e-01 eta: 4:32:03 time: 0.3399 data_time: 0.0419 memory: 9706 grad_norm: 1.0691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3899 loss: 0.3899 2022/08/05 15:21:40 - mmengine - INFO - Epoch(train) [86][260/314] lr: 1.4326e-01 eta: 4:31:56 time: 0.3435 data_time: 0.0500 memory: 9706 grad_norm: 1.1032 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5266 loss: 0.5266 2022/08/05 15:21:47 - mmengine - INFO - Epoch(train) [86][280/314] lr: 1.4318e-01 eta: 4:31:50 time: 0.3534 data_time: 0.0470 memory: 9706 grad_norm: 1.0224 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4480 loss: 0.4480 2022/08/05 15:21:53 - mmengine - INFO - Epoch(train) [86][300/314] lr: 1.4311e-01 eta: 4:31:44 time: 0.3358 data_time: 0.0402 memory: 9706 grad_norm: 1.0221 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4652 loss: 0.4652 2022/08/05 15:21:56 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:21:57 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:21:57 - mmengine - INFO - Epoch(train) [86][314/314] lr: 1.4305e-01 eta: 4:31:44 time: 0.2929 data_time: 0.0374 memory: 9706 grad_norm: 1.1618 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4182 loss: 0.4182 2022/08/05 15:21:57 - mmengine - INFO - Saving checkpoint at 86 epochs 2022/08/05 15:22:09 - mmengine - INFO - Epoch(train) [87][20/314] lr: 1.4298e-01 eta: 4:31:28 time: 0.4720 data_time: 0.1961 memory: 9706 grad_norm: 1.0525 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4474 loss: 0.4474 2022/08/05 15:22:16 - mmengine - INFO - Epoch(train) [87][40/314] lr: 1.4290e-01 eta: 4:31:22 time: 0.3427 data_time: 0.0463 memory: 9706 grad_norm: 1.0920 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4405 loss: 0.4405 2022/08/05 15:22:23 - mmengine - INFO - Epoch(train) [87][60/314] lr: 1.4283e-01 eta: 4:31:16 time: 0.3575 data_time: 0.0430 memory: 9706 grad_norm: 1.0568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4487 loss: 0.4487 2022/08/05 15:22:30 - mmengine - INFO - Epoch(train) [87][80/314] lr: 1.4275e-01 eta: 4:31:09 time: 0.3394 data_time: 0.0433 memory: 9706 grad_norm: 1.0082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3329 loss: 0.3329 2022/08/05 15:22:37 - mmengine - INFO - Epoch(train) [87][100/314] lr: 1.4268e-01 eta: 4:31:03 time: 0.3416 data_time: 0.0402 memory: 9706 grad_norm: 1.1433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.4182 loss: 0.4182 2022/08/05 15:22:44 - mmengine - INFO - Epoch(train) [87][120/314] lr: 1.4260e-01 eta: 4:30:56 time: 0.3517 data_time: 0.0414 memory: 9706 grad_norm: 1.1716 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4947 loss: 0.4947 2022/08/05 15:22:51 - mmengine - INFO - Epoch(train) [87][140/314] lr: 1.4253e-01 eta: 4:30:50 time: 0.3570 data_time: 0.0485 memory: 9706 grad_norm: 1.0851 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4574 loss: 0.4574 2022/08/05 15:22:58 - mmengine - INFO - Epoch(train) [87][160/314] lr: 1.4245e-01 eta: 4:30:43 time: 0.3298 data_time: 0.0393 memory: 9706 grad_norm: 1.0370 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3358 loss: 0.3358 2022/08/05 15:23:05 - mmengine - INFO - Epoch(train) [87][180/314] lr: 1.4238e-01 eta: 4:30:37 time: 0.3431 data_time: 0.0456 memory: 9706 grad_norm: 0.9848 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3467 loss: 0.3467 2022/08/05 15:23:12 - mmengine - INFO - Epoch(train) [87][200/314] lr: 1.4230e-01 eta: 4:30:31 time: 0.3473 data_time: 0.0489 memory: 9706 grad_norm: 1.1859 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4063 loss: 0.4063 2022/08/05 15:23:18 - mmengine - INFO - Epoch(train) [87][220/314] lr: 1.4223e-01 eta: 4:30:24 time: 0.3401 data_time: 0.0433 memory: 9706 grad_norm: 1.1510 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.3712 loss: 0.3712 2022/08/05 15:23:25 - mmengine - INFO - Epoch(train) [87][240/314] lr: 1.4215e-01 eta: 4:30:17 time: 0.3454 data_time: 0.0527 memory: 9706 grad_norm: 1.0742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4082 loss: 0.4082 2022/08/05 15:23:32 - mmengine - INFO - Epoch(train) [87][260/314] lr: 1.4207e-01 eta: 4:30:11 time: 0.3523 data_time: 0.0537 memory: 9706 grad_norm: 1.0861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3529 loss: 0.3529 2022/08/05 15:23:39 - mmengine - INFO - Epoch(train) [87][280/314] lr: 1.4200e-01 eta: 4:30:05 time: 0.3471 data_time: 0.0459 memory: 9706 grad_norm: 1.1050 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.3841 loss: 0.3841 2022/08/05 15:23:46 - mmengine - INFO - Epoch(train) [87][300/314] lr: 1.4192e-01 eta: 4:29:58 time: 0.3371 data_time: 0.0381 memory: 9706 grad_norm: 1.1017 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5152 loss: 0.5152 2022/08/05 15:23:50 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:23:50 - mmengine - INFO - Epoch(train) [87][314/314] lr: 1.4187e-01 eta: 4:29:58 time: 0.2901 data_time: 0.0355 memory: 9706 grad_norm: 1.1307 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4181 loss: 0.4181 2022/08/05 15:23:50 - mmengine - INFO - Saving checkpoint at 87 epochs 2022/08/05 15:24:02 - mmengine - INFO - Epoch(train) [88][20/314] lr: 1.4179e-01 eta: 4:29:43 time: 0.4646 data_time: 0.1843 memory: 9706 grad_norm: 1.1188 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3619 loss: 0.3619 2022/08/05 15:24:08 - mmengine - INFO - Epoch(train) [88][40/314] lr: 1.4172e-01 eta: 4:29:36 time: 0.3423 data_time: 0.0552 memory: 9706 grad_norm: 1.0478 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3831 loss: 0.3831 2022/08/05 15:24:15 - mmengine - INFO - Epoch(train) [88][60/314] lr: 1.4164e-01 eta: 4:29:30 time: 0.3483 data_time: 0.0443 memory: 9706 grad_norm: 1.0653 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3970 loss: 0.3970 2022/08/05 15:24:22 - mmengine - INFO - Epoch(train) [88][80/314] lr: 1.4157e-01 eta: 4:29:24 time: 0.3505 data_time: 0.0619 memory: 9706 grad_norm: 1.1636 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3914 loss: 0.3914 2022/08/05 15:24:29 - mmengine - INFO - Epoch(train) [88][100/314] lr: 1.4149e-01 eta: 4:29:17 time: 0.3454 data_time: 0.0408 memory: 9706 grad_norm: 1.0837 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4279 loss: 0.4279 2022/08/05 15:24:36 - mmengine - INFO - Epoch(train) [88][120/314] lr: 1.4141e-01 eta: 4:29:11 time: 0.3451 data_time: 0.0403 memory: 9706 grad_norm: 1.1256 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3714 loss: 0.3714 2022/08/05 15:24:43 - mmengine - INFO - Epoch(train) [88][140/314] lr: 1.4134e-01 eta: 4:29:04 time: 0.3404 data_time: 0.0419 memory: 9706 grad_norm: 1.0267 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4380 loss: 0.4380 2022/08/05 15:24:50 - mmengine - INFO - Epoch(train) [88][160/314] lr: 1.4126e-01 eta: 4:28:58 time: 0.3411 data_time: 0.0423 memory: 9706 grad_norm: 1.0193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3832 loss: 0.3832 2022/08/05 15:24:57 - mmengine - INFO - Epoch(train) [88][180/314] lr: 1.4119e-01 eta: 4:28:51 time: 0.3416 data_time: 0.0421 memory: 9706 grad_norm: 1.0393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4437 loss: 0.4437 2022/08/05 15:25:04 - mmengine - INFO - Epoch(train) [88][200/314] lr: 1.4111e-01 eta: 4:28:45 time: 0.3542 data_time: 0.0539 memory: 9706 grad_norm: 1.0563 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3711 loss: 0.3711 2022/08/05 15:25:11 - mmengine - INFO - Epoch(train) [88][220/314] lr: 1.4104e-01 eta: 4:28:39 time: 0.3510 data_time: 0.0438 memory: 9706 grad_norm: 1.1077 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3905 loss: 0.3905 2022/08/05 15:25:18 - mmengine - INFO - Epoch(train) [88][240/314] lr: 1.4096e-01 eta: 4:28:32 time: 0.3359 data_time: 0.0454 memory: 9706 grad_norm: 1.1099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4214 loss: 0.4214 2022/08/05 15:25:25 - mmengine - INFO - Epoch(train) [88][260/314] lr: 1.4088e-01 eta: 4:28:25 time: 0.3479 data_time: 0.0442 memory: 9706 grad_norm: 1.0301 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3197 loss: 0.3197 2022/08/05 15:25:32 - mmengine - INFO - Epoch(train) [88][280/314] lr: 1.4081e-01 eta: 4:28:19 time: 0.3532 data_time: 0.0443 memory: 9706 grad_norm: 1.1620 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4105 loss: 0.4105 2022/08/05 15:25:38 - mmengine - INFO - Epoch(train) [88][300/314] lr: 1.4073e-01 eta: 4:28:13 time: 0.3409 data_time: 0.0442 memory: 9706 grad_norm: 1.1358 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4542 loss: 0.4542 2022/08/05 15:25:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:25:42 - mmengine - INFO - Epoch(train) [88][314/314] lr: 1.4068e-01 eta: 4:28:13 time: 0.2926 data_time: 0.0366 memory: 9706 grad_norm: 1.1965 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.5541 loss: 0.5541 2022/08/05 15:25:42 - mmengine - INFO - Saving checkpoint at 88 epochs 2022/08/05 15:25:54 - mmengine - INFO - Epoch(train) [89][20/314] lr: 1.4060e-01 eta: 4:27:57 time: 0.4558 data_time: 0.1873 memory: 9706 grad_norm: 1.1194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4131 loss: 0.4131 2022/08/05 15:26:01 - mmengine - INFO - Epoch(train) [89][40/314] lr: 1.4053e-01 eta: 4:27:51 time: 0.3578 data_time: 0.0450 memory: 9706 grad_norm: 1.0520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3794 loss: 0.3794 2022/08/05 15:26:08 - mmengine - INFO - Epoch(train) [89][60/314] lr: 1.4045e-01 eta: 4:27:44 time: 0.3379 data_time: 0.0394 memory: 9706 grad_norm: 1.0960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4407 loss: 0.4407 2022/08/05 15:26:15 - mmengine - INFO - Epoch(train) [89][80/314] lr: 1.4037e-01 eta: 4:27:38 time: 0.3370 data_time: 0.0417 memory: 9706 grad_norm: 1.0823 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4145 loss: 0.4145 2022/08/05 15:26:22 - mmengine - INFO - Epoch(train) [89][100/314] lr: 1.4030e-01 eta: 4:27:31 time: 0.3513 data_time: 0.0459 memory: 9706 grad_norm: 1.1120 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3805 loss: 0.3805 2022/08/05 15:26:29 - mmengine - INFO - Epoch(train) [89][120/314] lr: 1.4022e-01 eta: 4:27:25 time: 0.3407 data_time: 0.0403 memory: 9706 grad_norm: 1.0927 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4527 loss: 0.4527 2022/08/05 15:26:35 - mmengine - INFO - Epoch(train) [89][140/314] lr: 1.4014e-01 eta: 4:27:18 time: 0.3430 data_time: 0.0468 memory: 9706 grad_norm: 1.1199 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3921 loss: 0.3921 2022/08/05 15:26:43 - mmengine - INFO - Epoch(train) [89][160/314] lr: 1.4007e-01 eta: 4:27:12 time: 0.3531 data_time: 0.0448 memory: 9706 grad_norm: 1.0986 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4120 loss: 0.4120 2022/08/05 15:26:49 - mmengine - INFO - Epoch(train) [89][180/314] lr: 1.3999e-01 eta: 4:27:06 time: 0.3450 data_time: 0.0593 memory: 9706 grad_norm: 1.0938 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4701 loss: 0.4701 2022/08/05 15:26:56 - mmengine - INFO - Epoch(train) [89][200/314] lr: 1.3991e-01 eta: 4:26:59 time: 0.3495 data_time: 0.0552 memory: 9706 grad_norm: 1.1408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5537 loss: 0.5537 2022/08/05 15:27:03 - mmengine - INFO - Epoch(train) [89][220/314] lr: 1.3984e-01 eta: 4:26:53 time: 0.3478 data_time: 0.0428 memory: 9706 grad_norm: 1.0871 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4079 loss: 0.4079 2022/08/05 15:27:10 - mmengine - INFO - Epoch(train) [89][240/314] lr: 1.3976e-01 eta: 4:26:46 time: 0.3452 data_time: 0.0419 memory: 9706 grad_norm: 1.1287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3492 loss: 0.3492 2022/08/05 15:27:17 - mmengine - INFO - Epoch(train) [89][260/314] lr: 1.3968e-01 eta: 4:26:40 time: 0.3412 data_time: 0.0460 memory: 9706 grad_norm: 1.1429 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4555 loss: 0.4555 2022/08/05 15:27:24 - mmengine - INFO - Epoch(train) [89][280/314] lr: 1.3961e-01 eta: 4:26:33 time: 0.3446 data_time: 0.0426 memory: 9706 grad_norm: 1.0847 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5546 loss: 0.5546 2022/08/05 15:27:31 - mmengine - INFO - Epoch(train) [89][300/314] lr: 1.3953e-01 eta: 4:26:27 time: 0.3410 data_time: 0.0405 memory: 9706 grad_norm: 1.0737 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4144 loss: 0.4144 2022/08/05 15:27:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:27:35 - mmengine - INFO - Epoch(train) [89][314/314] lr: 1.3948e-01 eta: 4:26:27 time: 0.2926 data_time: 0.0375 memory: 9706 grad_norm: 1.1444 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.4317 loss: 0.4317 2022/08/05 15:27:35 - mmengine - INFO - Saving checkpoint at 89 epochs 2022/08/05 15:27:47 - mmengine - INFO - Epoch(train) [90][20/314] lr: 1.3940e-01 eta: 4:26:12 time: 0.4725 data_time: 0.1949 memory: 9706 grad_norm: 1.1181 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4259 loss: 0.4259 2022/08/05 15:27:54 - mmengine - INFO - Epoch(train) [90][40/314] lr: 1.3932e-01 eta: 4:26:05 time: 0.3434 data_time: 0.0556 memory: 9706 grad_norm: 1.0470 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4413 loss: 0.4413 2022/08/05 15:27:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:28:01 - mmengine - INFO - Epoch(train) [90][60/314] lr: 1.3925e-01 eta: 4:25:59 time: 0.3430 data_time: 0.0488 memory: 9706 grad_norm: 1.0501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4748 loss: 0.4748 2022/08/05 15:28:08 - mmengine - INFO - Epoch(train) [90][80/314] lr: 1.3917e-01 eta: 4:25:52 time: 0.3461 data_time: 0.0425 memory: 9706 grad_norm: 1.0982 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4500 loss: 0.4500 2022/08/05 15:28:15 - mmengine - INFO - Epoch(train) [90][100/314] lr: 1.3909e-01 eta: 4:25:46 time: 0.3491 data_time: 0.0463 memory: 9706 grad_norm: 1.0698 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4029 loss: 0.4029 2022/08/05 15:28:21 - mmengine - INFO - Epoch(train) [90][120/314] lr: 1.3902e-01 eta: 4:25:39 time: 0.3428 data_time: 0.0464 memory: 9706 grad_norm: 1.1820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3605 loss: 0.3605 2022/08/05 15:28:28 - mmengine - INFO - Epoch(train) [90][140/314] lr: 1.3894e-01 eta: 4:25:33 time: 0.3406 data_time: 0.0466 memory: 9706 grad_norm: 1.1550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3905 loss: 0.3905 2022/08/05 15:28:35 - mmengine - INFO - Epoch(train) [90][160/314] lr: 1.3886e-01 eta: 4:25:26 time: 0.3463 data_time: 0.0469 memory: 9706 grad_norm: 1.0319 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4619 loss: 0.4619 2022/08/05 15:28:42 - mmengine - INFO - Epoch(train) [90][180/314] lr: 1.3879e-01 eta: 4:25:20 time: 0.3404 data_time: 0.0498 memory: 9706 grad_norm: 1.1507 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4614 loss: 0.4614 2022/08/05 15:28:49 - mmengine - INFO - Epoch(train) [90][200/314] lr: 1.3871e-01 eta: 4:25:14 time: 0.3533 data_time: 0.0441 memory: 9706 grad_norm: 1.0731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4632 loss: 0.4632 2022/08/05 15:28:56 - mmengine - INFO - Epoch(train) [90][220/314] lr: 1.3863e-01 eta: 4:25:07 time: 0.3447 data_time: 0.0455 memory: 9706 grad_norm: 1.0753 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4207 loss: 0.4207 2022/08/05 15:29:03 - mmengine - INFO - Epoch(train) [90][240/314] lr: 1.3856e-01 eta: 4:25:00 time: 0.3396 data_time: 0.0461 memory: 9706 grad_norm: 1.0571 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4123 loss: 0.4123 2022/08/05 15:29:10 - mmengine - INFO - Epoch(train) [90][260/314] lr: 1.3848e-01 eta: 4:24:54 time: 0.3481 data_time: 0.0447 memory: 9706 grad_norm: 1.0178 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4189 loss: 0.4189 2022/08/05 15:29:17 - mmengine - INFO - Epoch(train) [90][280/314] lr: 1.3840e-01 eta: 4:24:48 time: 0.3440 data_time: 0.0469 memory: 9706 grad_norm: 1.0815 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3790 loss: 0.3790 2022/08/05 15:29:23 - mmengine - INFO - Epoch(train) [90][300/314] lr: 1.3833e-01 eta: 4:24:41 time: 0.3431 data_time: 0.0505 memory: 9706 grad_norm: 1.1734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4872 loss: 0.4872 2022/08/05 15:29:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:29:27 - mmengine - INFO - Epoch(train) [90][314/314] lr: 1.3827e-01 eta: 4:24:41 time: 0.2931 data_time: 0.0435 memory: 9706 grad_norm: 1.2022 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 0.5425 loss: 0.5425 2022/08/05 15:29:27 - mmengine - INFO - Saving checkpoint at 90 epochs 2022/08/05 15:29:40 - mmengine - INFO - Epoch(val) [90][20/129] eta: 0:00:53 time: 0.4927 data_time: 0.3102 memory: 1867 2022/08/05 15:29:46 - mmengine - INFO - Epoch(val) [90][40/129] eta: 0:00:27 time: 0.3110 data_time: 0.1343 memory: 1867 2022/08/05 15:29:53 - mmengine - INFO - Epoch(val) [90][60/129] eta: 0:00:24 time: 0.3580 data_time: 0.1748 memory: 1867 2022/08/05 15:29:59 - mmengine - INFO - Epoch(val) [90][80/129] eta: 0:00:14 time: 0.3046 data_time: 0.1280 memory: 1867 2022/08/05 15:30:06 - mmengine - INFO - Epoch(val) [90][100/129] eta: 0:00:09 time: 0.3291 data_time: 0.1511 memory: 1867 2022/08/05 15:30:11 - mmengine - INFO - Epoch(val) [90][120/129] eta: 0:00:02 time: 0.2705 data_time: 0.1081 memory: 1867 2022/08/05 15:30:13 - mmengine - INFO - Epoch(val) [90][129/129] acc/top1: 0.5789 acc/top5: 0.8559 acc/mean1: 0.5790 2022/08/05 15:30:24 - mmengine - INFO - Epoch(train) [91][20/314] lr: 1.3820e-01 eta: 4:24:28 time: 0.5395 data_time: 0.1909 memory: 9706 grad_norm: 1.1519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4274 loss: 0.4274 2022/08/05 15:30:31 - mmengine - INFO - Epoch(train) [91][40/314] lr: 1.3812e-01 eta: 4:24:22 time: 0.3524 data_time: 0.0416 memory: 9706 grad_norm: 1.1492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4282 loss: 0.4282 2022/08/05 15:30:38 - mmengine - INFO - Epoch(train) [91][60/314] lr: 1.3804e-01 eta: 4:24:16 time: 0.3413 data_time: 0.0564 memory: 9706 grad_norm: 1.1265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5780 loss: 0.5780 2022/08/05 15:30:45 - mmengine - INFO - Epoch(train) [91][80/314] lr: 1.3796e-01 eta: 4:24:09 time: 0.3420 data_time: 0.0478 memory: 9706 grad_norm: 1.0819 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3238 loss: 0.3238 2022/08/05 15:30:52 - mmengine - INFO - Epoch(train) [91][100/314] lr: 1.3789e-01 eta: 4:24:03 time: 0.3587 data_time: 0.0474 memory: 9706 grad_norm: 1.0864 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3585 loss: 0.3585 2022/08/05 15:30:59 - mmengine - INFO - Epoch(train) [91][120/314] lr: 1.3781e-01 eta: 4:23:56 time: 0.3375 data_time: 0.0423 memory: 9706 grad_norm: 1.1111 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3423 loss: 0.3423 2022/08/05 15:31:06 - mmengine - INFO - Epoch(train) [91][140/314] lr: 1.3773e-01 eta: 4:23:50 time: 0.3498 data_time: 0.0403 memory: 9706 grad_norm: 1.0944 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4496 loss: 0.4496 2022/08/05 15:31:13 - mmengine - INFO - Epoch(train) [91][160/314] lr: 1.3766e-01 eta: 4:23:44 time: 0.3460 data_time: 0.0522 memory: 9706 grad_norm: 1.1400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3718 loss: 0.3718 2022/08/05 15:31:20 - mmengine - INFO - Epoch(train) [91][180/314] lr: 1.3758e-01 eta: 4:23:37 time: 0.3405 data_time: 0.0502 memory: 9706 grad_norm: 1.0845 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4587 loss: 0.4587 2022/08/05 15:31:26 - mmengine - INFO - Epoch(train) [91][200/314] lr: 1.3750e-01 eta: 4:23:30 time: 0.3447 data_time: 0.0464 memory: 9706 grad_norm: 1.1192 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5166 loss: 0.5166 2022/08/05 15:31:33 - mmengine - INFO - Epoch(train) [91][220/314] lr: 1.3742e-01 eta: 4:23:24 time: 0.3402 data_time: 0.0468 memory: 9706 grad_norm: 1.0375 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4115 loss: 0.4115 2022/08/05 15:31:40 - mmengine - INFO - Epoch(train) [91][240/314] lr: 1.3735e-01 eta: 4:23:17 time: 0.3448 data_time: 0.0441 memory: 9706 grad_norm: 1.0903 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.4396 loss: 0.4396 2022/08/05 15:31:47 - mmengine - INFO - Epoch(train) [91][260/314] lr: 1.3727e-01 eta: 4:23:11 time: 0.3377 data_time: 0.0444 memory: 9706 grad_norm: 1.0582 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3726 loss: 0.3726 2022/08/05 15:31:54 - mmengine - INFO - Epoch(train) [91][280/314] lr: 1.3719e-01 eta: 4:23:04 time: 0.3467 data_time: 0.0449 memory: 9706 grad_norm: 1.1633 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4044 loss: 0.4044 2022/08/05 15:32:00 - mmengine - INFO - Epoch(train) [91][300/314] lr: 1.3711e-01 eta: 4:22:57 time: 0.3333 data_time: 0.0434 memory: 9706 grad_norm: 1.1317 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4341 loss: 0.4341 2022/08/05 15:32:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:32:04 - mmengine - INFO - Epoch(train) [91][314/314] lr: 1.3706e-01 eta: 4:22:57 time: 0.2961 data_time: 0.0405 memory: 9706 grad_norm: 1.1778 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.4373 loss: 0.4373 2022/08/05 15:32:04 - mmengine - INFO - Saving checkpoint at 91 epochs 2022/08/05 15:32:16 - mmengine - INFO - Epoch(train) [92][20/314] lr: 1.3698e-01 eta: 4:22:42 time: 0.4597 data_time: 0.1884 memory: 9706 grad_norm: 1.2312 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4472 loss: 0.4472 2022/08/05 15:32:23 - mmengine - INFO - Epoch(train) [92][40/314] lr: 1.3690e-01 eta: 4:22:36 time: 0.3437 data_time: 0.0493 memory: 9706 grad_norm: 1.0821 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3942 loss: 0.3942 2022/08/05 15:32:30 - mmengine - INFO - Epoch(train) [92][60/314] lr: 1.3683e-01 eta: 4:22:29 time: 0.3456 data_time: 0.0417 memory: 9706 grad_norm: 1.0639 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4325 loss: 0.4325 2022/08/05 15:32:37 - mmengine - INFO - Epoch(train) [92][80/314] lr: 1.3675e-01 eta: 4:22:23 time: 0.3416 data_time: 0.0424 memory: 9706 grad_norm: 1.0396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3370 loss: 0.3370 2022/08/05 15:32:44 - mmengine - INFO - Epoch(train) [92][100/314] lr: 1.3667e-01 eta: 4:22:16 time: 0.3464 data_time: 0.0483 memory: 9706 grad_norm: 1.0781 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4044 loss: 0.4044 2022/08/05 15:32:50 - mmengine - INFO - Epoch(train) [92][120/314] lr: 1.3659e-01 eta: 4:22:09 time: 0.3358 data_time: 0.0445 memory: 9706 grad_norm: 1.0910 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4546 loss: 0.4546 2022/08/05 15:32:57 - mmengine - INFO - Epoch(train) [92][140/314] lr: 1.3652e-01 eta: 4:22:03 time: 0.3414 data_time: 0.0439 memory: 9706 grad_norm: 1.1170 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3730 loss: 0.3730 2022/08/05 15:33:04 - mmengine - INFO - Epoch(train) [92][160/314] lr: 1.3644e-01 eta: 4:21:56 time: 0.3463 data_time: 0.0508 memory: 9706 grad_norm: 1.1253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2941 loss: 0.2941 2022/08/05 15:33:11 - mmengine - INFO - Epoch(train) [92][180/314] lr: 1.3636e-01 eta: 4:21:50 time: 0.3437 data_time: 0.0451 memory: 9706 grad_norm: 1.0937 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4441 loss: 0.4441 2022/08/05 15:33:18 - mmengine - INFO - Epoch(train) [92][200/314] lr: 1.3628e-01 eta: 4:21:43 time: 0.3424 data_time: 0.0421 memory: 9706 grad_norm: 1.2059 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3739 loss: 0.3739 2022/08/05 15:33:25 - mmengine - INFO - Epoch(train) [92][220/314] lr: 1.3621e-01 eta: 4:21:37 time: 0.3464 data_time: 0.0490 memory: 9706 grad_norm: 1.1408 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3990 loss: 0.3990 2022/08/05 15:33:32 - mmengine - INFO - Epoch(train) [92][240/314] lr: 1.3613e-01 eta: 4:21:30 time: 0.3415 data_time: 0.0447 memory: 9706 grad_norm: 1.1172 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4112 loss: 0.4112 2022/08/05 15:33:39 - mmengine - INFO - Epoch(train) [92][260/314] lr: 1.3605e-01 eta: 4:21:24 time: 0.3441 data_time: 0.0499 memory: 9706 grad_norm: 1.1301 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3600 loss: 0.3600 2022/08/05 15:33:46 - mmengine - INFO - Epoch(train) [92][280/314] lr: 1.3597e-01 eta: 4:21:17 time: 0.3564 data_time: 0.0484 memory: 9706 grad_norm: 1.0685 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4876 loss: 0.4876 2022/08/05 15:33:53 - mmengine - INFO - Epoch(train) [92][300/314] lr: 1.3590e-01 eta: 4:21:11 time: 0.3428 data_time: 0.0382 memory: 9706 grad_norm: 1.0959 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4228 loss: 0.4228 2022/08/05 15:33:56 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:33:56 - mmengine - INFO - Epoch(train) [92][314/314] lr: 1.3584e-01 eta: 4:21:11 time: 0.2871 data_time: 0.0370 memory: 9706 grad_norm: 1.1958 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.4550 loss: 0.4550 2022/08/05 15:33:56 - mmengine - INFO - Saving checkpoint at 92 epochs 2022/08/05 15:34:09 - mmengine - INFO - Epoch(train) [93][20/314] lr: 1.3576e-01 eta: 4:20:57 time: 0.4880 data_time: 0.2074 memory: 9706 grad_norm: 1.1984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4665 loss: 0.4665 2022/08/05 15:34:16 - mmengine - INFO - Epoch(train) [93][40/314] lr: 1.3568e-01 eta: 4:20:50 time: 0.3445 data_time: 0.0448 memory: 9706 grad_norm: 1.0893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4102 loss: 0.4102 2022/08/05 15:34:22 - mmengine - INFO - Epoch(train) [93][60/314] lr: 1.3561e-01 eta: 4:20:44 time: 0.3427 data_time: 0.0491 memory: 9706 grad_norm: 1.0522 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4744 loss: 0.4744 2022/08/05 15:34:29 - mmengine - INFO - Epoch(train) [93][80/314] lr: 1.3553e-01 eta: 4:20:37 time: 0.3415 data_time: 0.0400 memory: 9706 grad_norm: 1.1352 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4646 loss: 0.4646 2022/08/05 15:34:36 - mmengine - INFO - Epoch(train) [93][100/314] lr: 1.3545e-01 eta: 4:20:31 time: 0.3506 data_time: 0.0405 memory: 9706 grad_norm: 1.1017 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4204 loss: 0.4204 2022/08/05 15:34:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:34:43 - mmengine - INFO - Epoch(train) [93][120/314] lr: 1.3537e-01 eta: 4:20:24 time: 0.3444 data_time: 0.0527 memory: 9706 grad_norm: 1.1077 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3798 loss: 0.3798 2022/08/05 15:34:50 - mmengine - INFO - Epoch(train) [93][140/314] lr: 1.3530e-01 eta: 4:20:18 time: 0.3390 data_time: 0.0486 memory: 9706 grad_norm: 1.0137 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4372 loss: 0.4372 2022/08/05 15:34:57 - mmengine - INFO - Epoch(train) [93][160/314] lr: 1.3522e-01 eta: 4:20:11 time: 0.3427 data_time: 0.0426 memory: 9706 grad_norm: 1.0531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3956 loss: 0.3956 2022/08/05 15:35:04 - mmengine - INFO - Epoch(train) [93][180/314] lr: 1.3514e-01 eta: 4:20:04 time: 0.3425 data_time: 0.0428 memory: 9706 grad_norm: 1.1418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5061 loss: 0.5061 2022/08/05 15:35:11 - mmengine - INFO - Epoch(train) [93][200/314] lr: 1.3506e-01 eta: 4:19:58 time: 0.3395 data_time: 0.0521 memory: 9706 grad_norm: 1.0682 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4265 loss: 0.4265 2022/08/05 15:35:18 - mmengine - INFO - Epoch(train) [93][220/314] lr: 1.3498e-01 eta: 4:19:51 time: 0.3524 data_time: 0.0433 memory: 9706 grad_norm: 1.1249 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4210 loss: 0.4210 2022/08/05 15:35:25 - mmengine - INFO - Epoch(train) [93][240/314] lr: 1.3490e-01 eta: 4:19:45 time: 0.3518 data_time: 0.0482 memory: 9706 grad_norm: 0.9931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3527 loss: 0.3527 2022/08/05 15:35:31 - mmengine - INFO - Epoch(train) [93][260/314] lr: 1.3483e-01 eta: 4:19:38 time: 0.3355 data_time: 0.0411 memory: 9706 grad_norm: 1.1113 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4110 loss: 0.4110 2022/08/05 15:35:38 - mmengine - INFO - Epoch(train) [93][280/314] lr: 1.3475e-01 eta: 4:19:32 time: 0.3444 data_time: 0.0430 memory: 9706 grad_norm: 1.0876 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4218 loss: 0.4218 2022/08/05 15:35:45 - mmengine - INFO - Epoch(train) [93][300/314] lr: 1.3467e-01 eta: 4:19:25 time: 0.3339 data_time: 0.0411 memory: 9706 grad_norm: 1.0570 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4609 loss: 0.4609 2022/08/05 15:35:49 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:35:49 - mmengine - INFO - Epoch(train) [93][314/314] lr: 1.3462e-01 eta: 4:19:25 time: 0.2881 data_time: 0.0373 memory: 9706 grad_norm: 1.1223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3970 loss: 0.3970 2022/08/05 15:35:49 - mmengine - INFO - Saving checkpoint at 93 epochs 2022/08/05 15:36:01 - mmengine - INFO - Epoch(train) [94][20/314] lr: 1.3454e-01 eta: 4:19:10 time: 0.4629 data_time: 0.1936 memory: 9706 grad_norm: 1.0863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4654 loss: 0.4654 2022/08/05 15:36:08 - mmengine - INFO - Epoch(train) [94][40/314] lr: 1.3446e-01 eta: 4:19:04 time: 0.3425 data_time: 0.0382 memory: 9706 grad_norm: 0.9886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2906 loss: 0.2906 2022/08/05 15:36:14 - mmengine - INFO - Epoch(train) [94][60/314] lr: 1.3438e-01 eta: 4:18:57 time: 0.3385 data_time: 0.0437 memory: 9706 grad_norm: 1.1030 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3615 loss: 0.3615 2022/08/05 15:36:21 - mmengine - INFO - Epoch(train) [94][80/314] lr: 1.3430e-01 eta: 4:18:51 time: 0.3511 data_time: 0.0499 memory: 9706 grad_norm: 1.1218 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.3899 loss: 0.3899 2022/08/05 15:36:28 - mmengine - INFO - Epoch(train) [94][100/314] lr: 1.3422e-01 eta: 4:18:44 time: 0.3517 data_time: 0.0422 memory: 9706 grad_norm: 1.0521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3932 loss: 0.3932 2022/08/05 15:36:35 - mmengine - INFO - Epoch(train) [94][120/314] lr: 1.3415e-01 eta: 4:18:38 time: 0.3442 data_time: 0.0435 memory: 9706 grad_norm: 1.0731 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3558 loss: 0.3558 2022/08/05 15:36:43 - mmengine - INFO - Epoch(train) [94][140/314] lr: 1.3407e-01 eta: 4:18:32 time: 0.3651 data_time: 0.0516 memory: 9706 grad_norm: 1.0760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3077 loss: 0.3077 2022/08/05 15:36:49 - mmengine - INFO - Epoch(train) [94][160/314] lr: 1.3399e-01 eta: 4:18:25 time: 0.3433 data_time: 0.0435 memory: 9706 grad_norm: 1.0763 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3875 loss: 0.3875 2022/08/05 15:36:56 - mmengine - INFO - Epoch(train) [94][180/314] lr: 1.3391e-01 eta: 4:18:19 time: 0.3389 data_time: 0.0437 memory: 9706 grad_norm: 1.0945 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4508 loss: 0.4508 2022/08/05 15:37:03 - mmengine - INFO - Epoch(train) [94][200/314] lr: 1.3383e-01 eta: 4:18:12 time: 0.3478 data_time: 0.0425 memory: 9706 grad_norm: 1.0786 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3928 loss: 0.3928 2022/08/05 15:37:10 - mmengine - INFO - Epoch(train) [94][220/314] lr: 1.3375e-01 eta: 4:18:06 time: 0.3508 data_time: 0.0506 memory: 9706 grad_norm: 1.1525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3930 loss: 0.3930 2022/08/05 15:37:17 - mmengine - INFO - Epoch(train) [94][240/314] lr: 1.3368e-01 eta: 4:17:59 time: 0.3448 data_time: 0.0434 memory: 9706 grad_norm: 1.1540 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4363 loss: 0.4363 2022/08/05 15:37:24 - mmengine - INFO - Epoch(train) [94][260/314] lr: 1.3360e-01 eta: 4:17:53 time: 0.3483 data_time: 0.0393 memory: 9706 grad_norm: 1.1632 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3625 loss: 0.3625 2022/08/05 15:37:31 - mmengine - INFO - Epoch(train) [94][280/314] lr: 1.3352e-01 eta: 4:17:47 time: 0.3445 data_time: 0.0422 memory: 9706 grad_norm: 1.1834 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4725 loss: 0.4725 2022/08/05 15:37:38 - mmengine - INFO - Epoch(train) [94][300/314] lr: 1.3344e-01 eta: 4:17:40 time: 0.3406 data_time: 0.0424 memory: 9706 grad_norm: 1.2149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4611 loss: 0.4611 2022/08/05 15:37:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:37:42 - mmengine - INFO - Epoch(train) [94][314/314] lr: 1.3338e-01 eta: 4:17:40 time: 0.3016 data_time: 0.0387 memory: 9706 grad_norm: 1.2968 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5492 loss: 0.5492 2022/08/05 15:37:42 - mmengine - INFO - Saving checkpoint at 94 epochs 2022/08/05 15:37:54 - mmengine - INFO - Epoch(train) [95][20/314] lr: 1.3331e-01 eta: 4:17:25 time: 0.4700 data_time: 0.1887 memory: 9706 grad_norm: 1.0562 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4556 loss: 0.4556 2022/08/05 15:38:01 - mmengine - INFO - Epoch(train) [95][40/314] lr: 1.3323e-01 eta: 4:17:19 time: 0.3419 data_time: 0.0474 memory: 9706 grad_norm: 1.1741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4605 loss: 0.4605 2022/08/05 15:38:07 - mmengine - INFO - Epoch(train) [95][60/314] lr: 1.3315e-01 eta: 4:17:12 time: 0.3466 data_time: 0.0463 memory: 9706 grad_norm: 1.1235 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4226 loss: 0.4226 2022/08/05 15:38:14 - mmengine - INFO - Epoch(train) [95][80/314] lr: 1.3307e-01 eta: 4:17:06 time: 0.3423 data_time: 0.0579 memory: 9706 grad_norm: 1.1173 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4800 loss: 0.4800 2022/08/05 15:38:21 - mmengine - INFO - Epoch(train) [95][100/314] lr: 1.3299e-01 eta: 4:16:59 time: 0.3498 data_time: 0.0391 memory: 9706 grad_norm: 1.0249 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3371 loss: 0.3371 2022/08/05 15:38:28 - mmengine - INFO - Epoch(train) [95][120/314] lr: 1.3291e-01 eta: 4:16:53 time: 0.3553 data_time: 0.0507 memory: 9706 grad_norm: 1.0552 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3655 loss: 0.3655 2022/08/05 15:38:35 - mmengine - INFO - Epoch(train) [95][140/314] lr: 1.3283e-01 eta: 4:16:46 time: 0.3400 data_time: 0.0403 memory: 9706 grad_norm: 1.0912 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4547 loss: 0.4547 2022/08/05 15:38:42 - mmengine - INFO - Epoch(train) [95][160/314] lr: 1.3276e-01 eta: 4:16:40 time: 0.3501 data_time: 0.0506 memory: 9706 grad_norm: 1.0661 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4393 loss: 0.4393 2022/08/05 15:38:49 - mmengine - INFO - Epoch(train) [95][180/314] lr: 1.3268e-01 eta: 4:16:33 time: 0.3335 data_time: 0.0449 memory: 9706 grad_norm: 1.1592 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4940 loss: 0.4940 2022/08/05 15:38:56 - mmengine - INFO - Epoch(train) [95][200/314] lr: 1.3260e-01 eta: 4:16:27 time: 0.3523 data_time: 0.0491 memory: 9706 grad_norm: 1.0868 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4487 loss: 0.4487 2022/08/05 15:39:03 - mmengine - INFO - Epoch(train) [95][220/314] lr: 1.3252e-01 eta: 4:16:21 time: 0.3620 data_time: 0.0423 memory: 9706 grad_norm: 1.1138 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3362 loss: 0.3362 2022/08/05 15:39:10 - mmengine - INFO - Epoch(train) [95][240/314] lr: 1.3244e-01 eta: 4:16:14 time: 0.3305 data_time: 0.0463 memory: 9706 grad_norm: 1.0645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3602 loss: 0.3602 2022/08/05 15:39:17 - mmengine - INFO - Epoch(train) [95][260/314] lr: 1.3236e-01 eta: 4:16:07 time: 0.3429 data_time: 0.0414 memory: 9706 grad_norm: 1.0820 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4457 loss: 0.4457 2022/08/05 15:39:24 - mmengine - INFO - Epoch(train) [95][280/314] lr: 1.3228e-01 eta: 4:16:01 time: 0.3477 data_time: 0.0454 memory: 9706 grad_norm: 1.1458 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3472 loss: 0.3472 2022/08/05 15:39:31 - mmengine - INFO - Epoch(train) [95][300/314] lr: 1.3220e-01 eta: 4:15:55 time: 0.3451 data_time: 0.0417 memory: 9706 grad_norm: 1.1023 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3770 loss: 0.3770 2022/08/05 15:39:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:39:34 - mmengine - INFO - Epoch(train) [95][314/314] lr: 1.3215e-01 eta: 4:15:55 time: 0.3028 data_time: 0.0361 memory: 9706 grad_norm: 1.1472 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.3896 loss: 0.3896 2022/08/05 15:39:34 - mmengine - INFO - Saving checkpoint at 95 epochs 2022/08/05 15:39:46 - mmengine - INFO - Epoch(train) [96][20/314] lr: 1.3207e-01 eta: 4:15:39 time: 0.4452 data_time: 0.1633 memory: 9706 grad_norm: 1.2415 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4549 loss: 0.4549 2022/08/05 15:39:53 - mmengine - INFO - Epoch(train) [96][40/314] lr: 1.3199e-01 eta: 4:15:33 time: 0.3530 data_time: 0.0468 memory: 9706 grad_norm: 1.1156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4007 loss: 0.4007 2022/08/05 15:40:00 - mmengine - INFO - Epoch(train) [96][60/314] lr: 1.3191e-01 eta: 4:15:26 time: 0.3402 data_time: 0.0381 memory: 9706 grad_norm: 1.0742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4173 loss: 0.4173 2022/08/05 15:40:07 - mmengine - INFO - Epoch(train) [96][80/314] lr: 1.3183e-01 eta: 4:15:20 time: 0.3414 data_time: 0.0451 memory: 9706 grad_norm: 1.1323 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3514 loss: 0.3514 2022/08/05 15:40:14 - mmengine - INFO - Epoch(train) [96][100/314] lr: 1.3175e-01 eta: 4:15:14 time: 0.3627 data_time: 0.0426 memory: 9706 grad_norm: 1.1174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4872 loss: 0.4872 2022/08/05 15:40:21 - mmengine - INFO - Epoch(train) [96][120/314] lr: 1.3167e-01 eta: 4:15:07 time: 0.3469 data_time: 0.0496 memory: 9706 grad_norm: 1.1167 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4345 loss: 0.4345 2022/08/05 15:40:28 - mmengine - INFO - Epoch(train) [96][140/314] lr: 1.3159e-01 eta: 4:15:01 time: 0.3471 data_time: 0.0468 memory: 9706 grad_norm: 1.1836 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4889 loss: 0.4889 2022/08/05 15:40:35 - mmengine - INFO - Epoch(train) [96][160/314] lr: 1.3152e-01 eta: 4:14:55 time: 0.3522 data_time: 0.0476 memory: 9706 grad_norm: 1.1200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3202 loss: 0.3202 2022/08/05 15:40:38 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:40:42 - mmengine - INFO - Epoch(train) [96][180/314] lr: 1.3144e-01 eta: 4:14:48 time: 0.3478 data_time: 0.0428 memory: 9706 grad_norm: 1.1430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3597 loss: 0.3597 2022/08/05 15:40:49 - mmengine - INFO - Epoch(train) [96][200/314] lr: 1.3136e-01 eta: 4:14:42 time: 0.3439 data_time: 0.0424 memory: 9706 grad_norm: 1.1297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.4482 loss: 0.4482 2022/08/05 15:40:56 - mmengine - INFO - Epoch(train) [96][220/314] lr: 1.3128e-01 eta: 4:14:35 time: 0.3553 data_time: 0.0516 memory: 9706 grad_norm: 1.1026 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4519 loss: 0.4519 2022/08/05 15:41:03 - mmengine - INFO - Epoch(train) [96][240/314] lr: 1.3120e-01 eta: 4:14:29 time: 0.3449 data_time: 0.0450 memory: 9706 grad_norm: 1.1072 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4066 loss: 0.4066 2022/08/05 15:41:10 - mmengine - INFO - Epoch(train) [96][260/314] lr: 1.3112e-01 eta: 4:14:22 time: 0.3483 data_time: 0.0421 memory: 9706 grad_norm: 1.0752 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3351 loss: 0.3351 2022/08/05 15:41:17 - mmengine - INFO - Epoch(train) [96][280/314] lr: 1.3104e-01 eta: 4:14:16 time: 0.3443 data_time: 0.0458 memory: 9706 grad_norm: 1.0575 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3805 loss: 0.3805 2022/08/05 15:41:23 - mmengine - INFO - Epoch(train) [96][300/314] lr: 1.3096e-01 eta: 4:14:09 time: 0.3406 data_time: 0.0558 memory: 9706 grad_norm: 1.1323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5389 loss: 0.5389 2022/08/05 15:41:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:41:27 - mmengine - INFO - Epoch(train) [96][314/314] lr: 1.3091e-01 eta: 4:14:09 time: 0.2859 data_time: 0.0350 memory: 9706 grad_norm: 1.1528 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.4623 loss: 0.4623 2022/08/05 15:41:27 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/05 15:41:39 - mmengine - INFO - Epoch(train) [97][20/314] lr: 1.3083e-01 eta: 4:13:54 time: 0.4538 data_time: 0.1748 memory: 9706 grad_norm: 1.0909 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4760 loss: 0.4760 2022/08/05 15:41:46 - mmengine - INFO - Epoch(train) [97][40/314] lr: 1.3075e-01 eta: 4:13:48 time: 0.3387 data_time: 0.0465 memory: 9706 grad_norm: 1.1158 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4233 loss: 0.4233 2022/08/05 15:41:53 - mmengine - INFO - Epoch(train) [97][60/314] lr: 1.3067e-01 eta: 4:13:41 time: 0.3465 data_time: 0.0416 memory: 9706 grad_norm: 1.1019 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4540 loss: 0.4540 2022/08/05 15:42:00 - mmengine - INFO - Epoch(train) [97][80/314] lr: 1.3059e-01 eta: 4:13:35 time: 0.3507 data_time: 0.0421 memory: 9706 grad_norm: 1.0629 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4210 loss: 0.4210 2022/08/05 15:42:07 - mmengine - INFO - Epoch(train) [97][100/314] lr: 1.3051e-01 eta: 4:13:29 time: 0.3529 data_time: 0.0423 memory: 9706 grad_norm: 1.0949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3717 loss: 0.3717 2022/08/05 15:42:14 - mmengine - INFO - Epoch(train) [97][120/314] lr: 1.3043e-01 eta: 4:13:22 time: 0.3491 data_time: 0.0422 memory: 9706 grad_norm: 1.0408 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4413 loss: 0.4413 2022/08/05 15:42:21 - mmengine - INFO - Epoch(train) [97][140/314] lr: 1.3035e-01 eta: 4:13:16 time: 0.3413 data_time: 0.0447 memory: 9706 grad_norm: 1.0831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3977 loss: 0.3977 2022/08/05 15:42:28 - mmengine - INFO - Epoch(train) [97][160/314] lr: 1.3027e-01 eta: 4:13:09 time: 0.3493 data_time: 0.0522 memory: 9706 grad_norm: 1.1167 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3913 loss: 0.3913 2022/08/05 15:42:35 - mmengine - INFO - Epoch(train) [97][180/314] lr: 1.3019e-01 eta: 4:13:03 time: 0.3446 data_time: 0.0451 memory: 9706 grad_norm: 0.9970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3623 loss: 0.3623 2022/08/05 15:42:42 - mmengine - INFO - Epoch(train) [97][200/314] lr: 1.3011e-01 eta: 4:12:56 time: 0.3430 data_time: 0.0552 memory: 9706 grad_norm: 1.1404 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4089 loss: 0.4089 2022/08/05 15:42:49 - mmengine - INFO - Epoch(train) [97][220/314] lr: 1.3003e-01 eta: 4:12:50 time: 0.3474 data_time: 0.0465 memory: 9706 grad_norm: 1.1124 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3660 loss: 0.3660 2022/08/05 15:42:56 - mmengine - INFO - Epoch(train) [97][240/314] lr: 1.2995e-01 eta: 4:12:43 time: 0.3500 data_time: 0.0467 memory: 9706 grad_norm: 1.0796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3906 loss: 0.3906 2022/08/05 15:43:02 - mmengine - INFO - Epoch(train) [97][260/314] lr: 1.2987e-01 eta: 4:12:37 time: 0.3434 data_time: 0.0483 memory: 9706 grad_norm: 1.0696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4126 loss: 0.4126 2022/08/05 15:43:09 - mmengine - INFO - Epoch(train) [97][280/314] lr: 1.2979e-01 eta: 4:12:30 time: 0.3442 data_time: 0.0423 memory: 9706 grad_norm: 1.1461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4301 loss: 0.4301 2022/08/05 15:43:16 - mmengine - INFO - Epoch(train) [97][300/314] lr: 1.2971e-01 eta: 4:12:24 time: 0.3475 data_time: 0.0409 memory: 9706 grad_norm: 1.0873 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3468 loss: 0.3468 2022/08/05 15:43:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:43:20 - mmengine - INFO - Epoch(train) [97][314/314] lr: 1.2966e-01 eta: 4:12:24 time: 0.2925 data_time: 0.0349 memory: 9706 grad_norm: 1.2048 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3010 loss: 0.3010 2022/08/05 15:43:20 - mmengine - INFO - Saving checkpoint at 97 epochs 2022/08/05 15:43:33 - mmengine - INFO - Epoch(train) [98][20/314] lr: 1.2958e-01 eta: 4:12:09 time: 0.4785 data_time: 0.1845 memory: 9706 grad_norm: 1.1025 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3843 loss: 0.3843 2022/08/05 15:43:39 - mmengine - INFO - Epoch(train) [98][40/314] lr: 1.2950e-01 eta: 4:12:03 time: 0.3321 data_time: 0.0531 memory: 9706 grad_norm: 1.1339 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4308 loss: 0.4308 2022/08/05 15:43:46 - mmengine - INFO - Epoch(train) [98][60/314] lr: 1.2942e-01 eta: 4:11:56 time: 0.3485 data_time: 0.0421 memory: 9706 grad_norm: 1.1088 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4369 loss: 0.4369 2022/08/05 15:43:53 - mmengine - INFO - Epoch(train) [98][80/314] lr: 1.2934e-01 eta: 4:11:50 time: 0.3423 data_time: 0.0420 memory: 9706 grad_norm: 1.0404 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3377 loss: 0.3377 2022/08/05 15:44:00 - mmengine - INFO - Epoch(train) [98][100/314] lr: 1.2926e-01 eta: 4:11:43 time: 0.3368 data_time: 0.0472 memory: 9706 grad_norm: 1.1473 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4225 loss: 0.4225 2022/08/05 15:44:07 - mmengine - INFO - Epoch(train) [98][120/314] lr: 1.2918e-01 eta: 4:11:36 time: 0.3418 data_time: 0.0410 memory: 9706 grad_norm: 1.0797 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3965 loss: 0.3965 2022/08/05 15:44:14 - mmengine - INFO - Epoch(train) [98][140/314] lr: 1.2910e-01 eta: 4:11:30 time: 0.3540 data_time: 0.0467 memory: 9706 grad_norm: 1.0906 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.4829 loss: 0.4829 2022/08/05 15:44:21 - mmengine - INFO - Epoch(train) [98][160/314] lr: 1.2902e-01 eta: 4:11:23 time: 0.3412 data_time: 0.0407 memory: 9706 grad_norm: 1.0750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3329 loss: 0.3329 2022/08/05 15:44:28 - mmengine - INFO - Epoch(train) [98][180/314] lr: 1.2894e-01 eta: 4:11:17 time: 0.3436 data_time: 0.0440 memory: 9706 grad_norm: 1.1179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3714 loss: 0.3714 2022/08/05 15:44:34 - mmengine - INFO - Epoch(train) [98][200/314] lr: 1.2886e-01 eta: 4:11:10 time: 0.3387 data_time: 0.0453 memory: 9706 grad_norm: 1.1183 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4282 loss: 0.4282 2022/08/05 15:44:41 - mmengine - INFO - Epoch(train) [98][220/314] lr: 1.2878e-01 eta: 4:11:04 time: 0.3433 data_time: 0.0418 memory: 9706 grad_norm: 1.1311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5573 loss: 0.5573 2022/08/05 15:44:48 - mmengine - INFO - Epoch(train) [98][240/314] lr: 1.2870e-01 eta: 4:10:57 time: 0.3421 data_time: 0.0414 memory: 9706 grad_norm: 1.1035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4686 loss: 0.4686 2022/08/05 15:44:55 - mmengine - INFO - Epoch(train) [98][260/314] lr: 1.2862e-01 eta: 4:10:51 time: 0.3695 data_time: 0.0631 memory: 9706 grad_norm: 1.1057 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3724 loss: 0.3724 2022/08/05 15:45:02 - mmengine - INFO - Epoch(train) [98][280/314] lr: 1.2854e-01 eta: 4:10:44 time: 0.3354 data_time: 0.0418 memory: 9706 grad_norm: 1.0403 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4305 loss: 0.4305 2022/08/05 15:45:09 - mmengine - INFO - Epoch(train) [98][300/314] lr: 1.2846e-01 eta: 4:10:38 time: 0.3450 data_time: 0.0401 memory: 9706 grad_norm: 1.1118 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4525 loss: 0.4525 2022/08/05 15:45:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:45:13 - mmengine - INFO - Epoch(train) [98][314/314] lr: 1.2841e-01 eta: 4:10:38 time: 0.3093 data_time: 0.0351 memory: 9706 grad_norm: 1.1965 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3725 loss: 0.3725 2022/08/05 15:45:13 - mmengine - INFO - Saving checkpoint at 98 epochs 2022/08/05 15:45:25 - mmengine - INFO - Epoch(train) [99][20/314] lr: 1.2833e-01 eta: 4:10:23 time: 0.4669 data_time: 0.1932 memory: 9706 grad_norm: 1.1206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4149 loss: 0.4149 2022/08/05 15:45:32 - mmengine - INFO - Epoch(train) [99][40/314] lr: 1.2825e-01 eta: 4:10:17 time: 0.3361 data_time: 0.0431 memory: 9706 grad_norm: 1.1224 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3914 loss: 0.3914 2022/08/05 15:45:39 - mmengine - INFO - Epoch(train) [99][60/314] lr: 1.2817e-01 eta: 4:10:10 time: 0.3500 data_time: 0.0418 memory: 9706 grad_norm: 1.0850 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4815 loss: 0.4815 2022/08/05 15:45:46 - mmengine - INFO - Epoch(train) [99][80/314] lr: 1.2809e-01 eta: 4:10:03 time: 0.3404 data_time: 0.0423 memory: 9706 grad_norm: 1.1784 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4215 loss: 0.4215 2022/08/05 15:45:53 - mmengine - INFO - Epoch(train) [99][100/314] lr: 1.2801e-01 eta: 4:09:57 time: 0.3496 data_time: 0.0474 memory: 9706 grad_norm: 1.1010 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3847 loss: 0.3847 2022/08/05 15:45:59 - mmengine - INFO - Epoch(train) [99][120/314] lr: 1.2793e-01 eta: 4:09:51 time: 0.3424 data_time: 0.0541 memory: 9706 grad_norm: 1.1391 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3697 loss: 0.3697 2022/08/05 15:46:06 - mmengine - INFO - Epoch(train) [99][140/314] lr: 1.2785e-01 eta: 4:09:44 time: 0.3478 data_time: 0.0417 memory: 9706 grad_norm: 1.1208 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3557 loss: 0.3557 2022/08/05 15:46:13 - mmengine - INFO - Epoch(train) [99][160/314] lr: 1.2777e-01 eta: 4:09:38 time: 0.3463 data_time: 0.0480 memory: 9706 grad_norm: 1.1424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3701 loss: 0.3701 2022/08/05 15:46:20 - mmengine - INFO - Epoch(train) [99][180/314] lr: 1.2769e-01 eta: 4:09:31 time: 0.3464 data_time: 0.0506 memory: 9706 grad_norm: 1.0638 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4155 loss: 0.4155 2022/08/05 15:46:27 - mmengine - INFO - Epoch(train) [99][200/314] lr: 1.2761e-01 eta: 4:09:24 time: 0.3369 data_time: 0.0438 memory: 9706 grad_norm: 1.0785 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4099 loss: 0.4099 2022/08/05 15:46:34 - mmengine - INFO - Epoch(train) [99][220/314] lr: 1.2752e-01 eta: 4:09:18 time: 0.3549 data_time: 0.0471 memory: 9706 grad_norm: 1.0708 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4082 loss: 0.4082 2022/08/05 15:46:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:46:41 - mmengine - INFO - Epoch(train) [99][240/314] lr: 1.2744e-01 eta: 4:09:11 time: 0.3362 data_time: 0.0460 memory: 9706 grad_norm: 1.1522 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4047 loss: 0.4047 2022/08/05 15:46:48 - mmengine - INFO - Epoch(train) [99][260/314] lr: 1.2736e-01 eta: 4:09:05 time: 0.3444 data_time: 0.0448 memory: 9706 grad_norm: 1.1174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4192 loss: 0.4192 2022/08/05 15:46:55 - mmengine - INFO - Epoch(train) [99][280/314] lr: 1.2728e-01 eta: 4:08:59 time: 0.3539 data_time: 0.0409 memory: 9706 grad_norm: 1.2414 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4395 loss: 0.4395 2022/08/05 15:47:02 - mmengine - INFO - Epoch(train) [99][300/314] lr: 1.2720e-01 eta: 4:08:52 time: 0.3398 data_time: 0.0436 memory: 9706 grad_norm: 1.1236 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3797 loss: 0.3797 2022/08/05 15:47:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:47:05 - mmengine - INFO - Epoch(train) [99][314/314] lr: 1.2715e-01 eta: 4:08:52 time: 0.2935 data_time: 0.0379 memory: 9706 grad_norm: 1.1494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4830 loss: 0.4830 2022/08/05 15:47:05 - mmengine - INFO - Saving checkpoint at 99 epochs 2022/08/05 15:47:17 - mmengine - INFO - Epoch(train) [100][20/314] lr: 1.2707e-01 eta: 4:08:37 time: 0.4510 data_time: 0.1771 memory: 9706 grad_norm: 1.1386 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4142 loss: 0.4142 2022/08/05 15:47:24 - mmengine - INFO - Epoch(train) [100][40/314] lr: 1.2699e-01 eta: 4:08:30 time: 0.3463 data_time: 0.0484 memory: 9706 grad_norm: 1.1302 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.3980 loss: 0.3980 2022/08/05 15:47:31 - mmengine - INFO - Epoch(train) [100][60/314] lr: 1.2691e-01 eta: 4:08:24 time: 0.3406 data_time: 0.0428 memory: 9706 grad_norm: 1.0143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4440 loss: 0.4440 2022/08/05 15:47:38 - mmengine - INFO - Epoch(train) [100][80/314] lr: 1.2683e-01 eta: 4:08:17 time: 0.3428 data_time: 0.0480 memory: 9706 grad_norm: 1.1639 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4225 loss: 0.4225 2022/08/05 15:47:45 - mmengine - INFO - Epoch(train) [100][100/314] lr: 1.2675e-01 eta: 4:08:11 time: 0.3516 data_time: 0.0455 memory: 9706 grad_norm: 1.1655 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.4206 loss: 0.4206 2022/08/05 15:47:52 - mmengine - INFO - Epoch(train) [100][120/314] lr: 1.2667e-01 eta: 4:08:04 time: 0.3404 data_time: 0.0470 memory: 9706 grad_norm: 1.1132 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4631 loss: 0.4631 2022/08/05 15:47:58 - mmengine - INFO - Epoch(train) [100][140/314] lr: 1.2659e-01 eta: 4:07:58 time: 0.3376 data_time: 0.0405 memory: 9706 grad_norm: 1.0955 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3950 loss: 0.3950 2022/08/05 15:48:05 - mmengine - INFO - Epoch(train) [100][160/314] lr: 1.2651e-01 eta: 4:07:51 time: 0.3494 data_time: 0.0440 memory: 9706 grad_norm: 1.1571 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3720 loss: 0.3720 2022/08/05 15:48:12 - mmengine - INFO - Epoch(train) [100][180/314] lr: 1.2643e-01 eta: 4:07:45 time: 0.3419 data_time: 0.0493 memory: 9706 grad_norm: 1.1732 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4257 loss: 0.4257 2022/08/05 15:48:19 - mmengine - INFO - Epoch(train) [100][200/314] lr: 1.2634e-01 eta: 4:07:38 time: 0.3442 data_time: 0.0437 memory: 9706 grad_norm: 1.1594 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4840 loss: 0.4840 2022/08/05 15:48:26 - mmengine - INFO - Epoch(train) [100][220/314] lr: 1.2626e-01 eta: 4:07:32 time: 0.3487 data_time: 0.0434 memory: 9706 grad_norm: 1.0862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4202 loss: 0.4202 2022/08/05 15:48:33 - mmengine - INFO - Epoch(train) [100][240/314] lr: 1.2618e-01 eta: 4:07:25 time: 0.3466 data_time: 0.0421 memory: 9706 grad_norm: 1.0665 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4157 loss: 0.4157 2022/08/05 15:48:40 - mmengine - INFO - Epoch(train) [100][260/314] lr: 1.2610e-01 eta: 4:07:18 time: 0.3359 data_time: 0.0390 memory: 9706 grad_norm: 1.1144 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3591 loss: 0.3591 2022/08/05 15:48:46 - mmengine - INFO - Epoch(train) [100][280/314] lr: 1.2602e-01 eta: 4:07:12 time: 0.3440 data_time: 0.0446 memory: 9706 grad_norm: 1.1914 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3997 loss: 0.3997 2022/08/05 15:48:53 - mmengine - INFO - Epoch(train) [100][300/314] lr: 1.2594e-01 eta: 4:07:05 time: 0.3478 data_time: 0.0426 memory: 9706 grad_norm: 1.0932 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3738 loss: 0.3738 2022/08/05 15:48:57 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:48:57 - mmengine - INFO - Epoch(train) [100][314/314] lr: 1.2589e-01 eta: 4:07:05 time: 0.2911 data_time: 0.0374 memory: 9706 grad_norm: 1.1955 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3751 loss: 0.3751 2022/08/05 15:48:57 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/05 15:49:09 - mmengine - INFO - Epoch(val) [100][20/129] eta: 0:00:51 time: 0.4714 data_time: 0.2919 memory: 1867 2022/08/05 15:49:16 - mmengine - INFO - Epoch(val) [100][40/129] eta: 0:00:29 time: 0.3347 data_time: 0.1449 memory: 1867 2022/08/05 15:49:23 - mmengine - INFO - Epoch(val) [100][60/129] eta: 0:00:24 time: 0.3554 data_time: 0.1763 memory: 1867 2022/08/05 15:49:29 - mmengine - INFO - Epoch(val) [100][80/129] eta: 0:00:15 time: 0.3117 data_time: 0.1350 memory: 1867 2022/08/05 15:49:36 - mmengine - INFO - Epoch(val) [100][100/129] eta: 0:00:10 time: 0.3475 data_time: 0.1640 memory: 1867 2022/08/05 15:49:42 - mmengine - INFO - Epoch(val) [100][120/129] eta: 0:00:02 time: 0.2678 data_time: 0.1106 memory: 1867 2022/08/05 15:49:44 - mmengine - INFO - Epoch(val) [100][129/129] acc/top1: 0.8203 acc/top5: 0.9854 acc/mean1: 0.8201 2022/08/05 15:49:55 - mmengine - INFO - Epoch(train) [101][20/314] lr: 1.2581e-01 eta: 4:06:53 time: 0.5435 data_time: 0.2087 memory: 9706 grad_norm: 1.1395 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3766 loss: 0.3766 2022/08/05 15:50:01 - mmengine - INFO - Epoch(train) [101][40/314] lr: 1.2572e-01 eta: 4:06:46 time: 0.3389 data_time: 0.0485 memory: 9706 grad_norm: 1.0885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3806 loss: 0.3806 2022/08/05 15:50:08 - mmengine - INFO - Epoch(train) [101][60/314] lr: 1.2564e-01 eta: 4:06:40 time: 0.3554 data_time: 0.0454 memory: 9706 grad_norm: 1.0804 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4547 loss: 0.4547 2022/08/05 15:50:15 - mmengine - INFO - Epoch(train) [101][80/314] lr: 1.2556e-01 eta: 4:06:33 time: 0.3402 data_time: 0.0439 memory: 9706 grad_norm: 1.1045 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4325 loss: 0.4325 2022/08/05 15:50:22 - mmengine - INFO - Epoch(train) [101][100/314] lr: 1.2548e-01 eta: 4:06:27 time: 0.3451 data_time: 0.0476 memory: 9706 grad_norm: 1.1099 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.3796 loss: 0.3796 2022/08/05 15:50:29 - mmengine - INFO - Epoch(train) [101][120/314] lr: 1.2540e-01 eta: 4:06:20 time: 0.3416 data_time: 0.0477 memory: 9706 grad_norm: 1.0753 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3817 loss: 0.3817 2022/08/05 15:50:36 - mmengine - INFO - Epoch(train) [101][140/314] lr: 1.2532e-01 eta: 4:06:14 time: 0.3536 data_time: 0.0397 memory: 9706 grad_norm: 1.1289 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4010 loss: 0.4010 2022/08/05 15:50:43 - mmengine - INFO - Epoch(train) [101][160/314] lr: 1.2524e-01 eta: 4:06:08 time: 0.3624 data_time: 0.0502 memory: 9706 grad_norm: 1.0951 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3421 loss: 0.3421 2022/08/05 15:50:50 - mmengine - INFO - Epoch(train) [101][180/314] lr: 1.2516e-01 eta: 4:06:01 time: 0.3374 data_time: 0.0429 memory: 9706 grad_norm: 1.1308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4310 loss: 0.4310 2022/08/05 15:50:57 - mmengine - INFO - Epoch(train) [101][200/314] lr: 1.2508e-01 eta: 4:05:55 time: 0.3469 data_time: 0.0430 memory: 9706 grad_norm: 1.0622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3814 loss: 0.3814 2022/08/05 15:51:04 - mmengine - INFO - Epoch(train) [101][220/314] lr: 1.2500e-01 eta: 4:05:48 time: 0.3452 data_time: 0.0438 memory: 9706 grad_norm: 1.1814 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3438 loss: 0.3438 2022/08/05 15:51:11 - mmengine - INFO - Epoch(train) [101][240/314] lr: 1.2492e-01 eta: 4:05:42 time: 0.3368 data_time: 0.0416 memory: 9706 grad_norm: 1.1330 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4174 loss: 0.4174 2022/08/05 15:51:18 - mmengine - INFO - Epoch(train) [101][260/314] lr: 1.2484e-01 eta: 4:05:35 time: 0.3397 data_time: 0.0441 memory: 9706 grad_norm: 1.1908 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4779 loss: 0.4779 2022/08/05 15:51:24 - mmengine - INFO - Epoch(train) [101][280/314] lr: 1.2476e-01 eta: 4:05:28 time: 0.3436 data_time: 0.0477 memory: 9706 grad_norm: 1.2284 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3911 loss: 0.3911 2022/08/05 15:51:31 - mmengine - INFO - Epoch(train) [101][300/314] lr: 1.2468e-01 eta: 4:05:21 time: 0.3354 data_time: 0.0359 memory: 9706 grad_norm: 1.1391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4686 loss: 0.4686 2022/08/05 15:51:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:51:35 - mmengine - INFO - Epoch(train) [101][314/314] lr: 1.2462e-01 eta: 4:05:21 time: 0.2935 data_time: 0.0370 memory: 9706 grad_norm: 1.2433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5040 loss: 0.5040 2022/08/05 15:51:35 - mmengine - INFO - Saving checkpoint at 101 epochs 2022/08/05 15:51:47 - mmengine - INFO - Epoch(train) [102][20/314] lr: 1.2454e-01 eta: 4:05:07 time: 0.4532 data_time: 0.1803 memory: 9706 grad_norm: 1.2119 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4671 loss: 0.4671 2022/08/05 15:51:54 - mmengine - INFO - Epoch(train) [102][40/314] lr: 1.2446e-01 eta: 4:05:01 time: 0.3662 data_time: 0.0510 memory: 9706 grad_norm: 1.0898 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4107 loss: 0.4107 2022/08/05 15:52:01 - mmengine - INFO - Epoch(train) [102][60/314] lr: 1.2438e-01 eta: 4:04:54 time: 0.3378 data_time: 0.0418 memory: 9706 grad_norm: 1.0559 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3745 loss: 0.3745 2022/08/05 15:52:08 - mmengine - INFO - Epoch(train) [102][80/314] lr: 1.2430e-01 eta: 4:04:47 time: 0.3432 data_time: 0.0471 memory: 9706 grad_norm: 1.0435 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3506 loss: 0.3506 2022/08/05 15:52:15 - mmengine - INFO - Epoch(train) [102][100/314] lr: 1.2422e-01 eta: 4:04:41 time: 0.3502 data_time: 0.0475 memory: 9706 grad_norm: 1.1463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3807 loss: 0.3807 2022/08/05 15:52:22 - mmengine - INFO - Epoch(train) [102][120/314] lr: 1.2413e-01 eta: 4:04:35 time: 0.3506 data_time: 0.0429 memory: 9706 grad_norm: 1.1533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3597 loss: 0.3597 2022/08/05 15:52:29 - mmengine - INFO - Epoch(train) [102][140/314] lr: 1.2405e-01 eta: 4:04:28 time: 0.3460 data_time: 0.0530 memory: 9706 grad_norm: 1.1363 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4085 loss: 0.4085 2022/08/05 15:52:35 - mmengine - INFO - Epoch(train) [102][160/314] lr: 1.2397e-01 eta: 4:04:22 time: 0.3396 data_time: 0.0499 memory: 9706 grad_norm: 1.0863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3591 loss: 0.3591 2022/08/05 15:52:42 - mmengine - INFO - Epoch(train) [102][180/314] lr: 1.2389e-01 eta: 4:04:15 time: 0.3469 data_time: 0.0506 memory: 9706 grad_norm: 1.0750 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3156 loss: 0.3156 2022/08/05 15:52:49 - mmengine - INFO - Epoch(train) [102][200/314] lr: 1.2381e-01 eta: 4:04:09 time: 0.3568 data_time: 0.0425 memory: 9706 grad_norm: 1.1322 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.3740 loss: 0.3740 2022/08/05 15:52:57 - mmengine - INFO - Epoch(train) [102][220/314] lr: 1.2373e-01 eta: 4:04:03 time: 0.3536 data_time: 0.0402 memory: 9706 grad_norm: 1.1356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4730 loss: 0.4730 2022/08/05 15:53:04 - mmengine - INFO - Epoch(train) [102][240/314] lr: 1.2365e-01 eta: 4:03:56 time: 0.3610 data_time: 0.0449 memory: 9706 grad_norm: 1.0357 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3809 loss: 0.3809 2022/08/05 15:53:11 - mmengine - INFO - Epoch(train) [102][260/314] lr: 1.2357e-01 eta: 4:03:50 time: 0.3412 data_time: 0.0397 memory: 9706 grad_norm: 1.0426 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3946 loss: 0.3946 2022/08/05 15:53:18 - mmengine - INFO - Epoch(train) [102][280/314] lr: 1.2349e-01 eta: 4:03:43 time: 0.3500 data_time: 0.0421 memory: 9706 grad_norm: 1.1708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4100 loss: 0.4100 2022/08/05 15:53:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:53:25 - mmengine - INFO - Epoch(train) [102][300/314] lr: 1.2341e-01 eta: 4:03:37 time: 0.3475 data_time: 0.0469 memory: 9706 grad_norm: 1.1402 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3455 loss: 0.3455 2022/08/05 15:53:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:53:28 - mmengine - INFO - Epoch(train) [102][314/314] lr: 1.2335e-01 eta: 4:03:37 time: 0.2909 data_time: 0.0402 memory: 9706 grad_norm: 1.1698 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4823 loss: 0.4823 2022/08/05 15:53:28 - mmengine - INFO - Saving checkpoint at 102 epochs 2022/08/05 15:53:41 - mmengine - INFO - Epoch(train) [103][20/314] lr: 1.2327e-01 eta: 4:03:23 time: 0.4757 data_time: 0.2003 memory: 9706 grad_norm: 1.1025 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4003 loss: 0.4003 2022/08/05 15:53:47 - mmengine - INFO - Epoch(train) [103][40/314] lr: 1.2319e-01 eta: 4:03:16 time: 0.3373 data_time: 0.0442 memory: 9706 grad_norm: 1.0690 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3665 loss: 0.3665 2022/08/05 15:53:54 - mmengine - INFO - Epoch(train) [103][60/314] lr: 1.2311e-01 eta: 4:03:10 time: 0.3513 data_time: 0.0428 memory: 9706 grad_norm: 1.0993 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4018 loss: 0.4018 2022/08/05 15:54:01 - mmengine - INFO - Epoch(train) [103][80/314] lr: 1.2302e-01 eta: 4:03:03 time: 0.3430 data_time: 0.0488 memory: 9706 grad_norm: 1.0981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4468 loss: 0.4468 2022/08/05 15:54:08 - mmengine - INFO - Epoch(train) [103][100/314] lr: 1.2294e-01 eta: 4:02:57 time: 0.3468 data_time: 0.0425 memory: 9706 grad_norm: 1.1828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4144 loss: 0.4144 2022/08/05 15:54:15 - mmengine - INFO - Epoch(train) [103][120/314] lr: 1.2286e-01 eta: 4:02:50 time: 0.3502 data_time: 0.0412 memory: 9706 grad_norm: 1.0647 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3569 loss: 0.3569 2022/08/05 15:54:22 - mmengine - INFO - Epoch(train) [103][140/314] lr: 1.2278e-01 eta: 4:02:43 time: 0.3348 data_time: 0.0467 memory: 9706 grad_norm: 1.0960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4089 loss: 0.4089 2022/08/05 15:54:29 - mmengine - INFO - Epoch(train) [103][160/314] lr: 1.2270e-01 eta: 4:02:37 time: 0.3628 data_time: 0.0429 memory: 9706 grad_norm: 1.1285 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4519 loss: 0.4519 2022/08/05 15:54:36 - mmengine - INFO - Epoch(train) [103][180/314] lr: 1.2262e-01 eta: 4:02:31 time: 0.3470 data_time: 0.0400 memory: 9706 grad_norm: 1.0567 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2967 loss: 0.2967 2022/08/05 15:54:43 - mmengine - INFO - Epoch(train) [103][200/314] lr: 1.2254e-01 eta: 4:02:24 time: 0.3378 data_time: 0.0417 memory: 9706 grad_norm: 1.1402 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3713 loss: 0.3713 2022/08/05 15:54:50 - mmengine - INFO - Epoch(train) [103][220/314] lr: 1.2246e-01 eta: 4:02:18 time: 0.3539 data_time: 0.0447 memory: 9706 grad_norm: 1.0681 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3860 loss: 0.3860 2022/08/05 15:54:57 - mmengine - INFO - Epoch(train) [103][240/314] lr: 1.2237e-01 eta: 4:02:11 time: 0.3400 data_time: 0.0421 memory: 9706 grad_norm: 1.1422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3770 loss: 0.3770 2022/08/05 15:55:04 - mmengine - INFO - Epoch(train) [103][260/314] lr: 1.2229e-01 eta: 4:02:05 time: 0.3605 data_time: 0.0478 memory: 9706 grad_norm: 1.2261 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4316 loss: 0.4316 2022/08/05 15:55:11 - mmengine - INFO - Epoch(train) [103][280/314] lr: 1.2221e-01 eta: 4:01:58 time: 0.3358 data_time: 0.0415 memory: 9706 grad_norm: 1.1395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3675 loss: 0.3675 2022/08/05 15:55:17 - mmengine - INFO - Epoch(train) [103][300/314] lr: 1.2213e-01 eta: 4:01:52 time: 0.3421 data_time: 0.0512 memory: 9706 grad_norm: 1.0764 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4260 loss: 0.4260 2022/08/05 15:55:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:55:21 - mmengine - INFO - Epoch(train) [103][314/314] lr: 1.2207e-01 eta: 4:01:52 time: 0.2894 data_time: 0.0389 memory: 9706 grad_norm: 1.1160 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3774 loss: 0.3774 2022/08/05 15:55:21 - mmengine - INFO - Saving checkpoint at 103 epochs 2022/08/05 15:55:33 - mmengine - INFO - Epoch(train) [104][20/314] lr: 1.2199e-01 eta: 4:01:37 time: 0.4656 data_time: 0.1917 memory: 9706 grad_norm: 1.0451 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3391 loss: 0.3391 2022/08/05 15:55:40 - mmengine - INFO - Epoch(train) [104][40/314] lr: 1.2191e-01 eta: 4:01:31 time: 0.3398 data_time: 0.0440 memory: 9706 grad_norm: 1.1602 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4435 loss: 0.4435 2022/08/05 15:55:47 - mmengine - INFO - Epoch(train) [104][60/314] lr: 1.2183e-01 eta: 4:01:24 time: 0.3430 data_time: 0.0405 memory: 9706 grad_norm: 1.1602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3637 loss: 0.3637 2022/08/05 15:55:54 - mmengine - INFO - Epoch(train) [104][80/314] lr: 1.2175e-01 eta: 4:01:18 time: 0.3516 data_time: 0.0480 memory: 9706 grad_norm: 1.0619 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2911 loss: 0.2911 2022/08/05 15:56:01 - mmengine - INFO - Epoch(train) [104][100/314] lr: 1.2167e-01 eta: 4:01:11 time: 0.3384 data_time: 0.0504 memory: 9706 grad_norm: 1.1234 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3257 loss: 0.3257 2022/08/05 15:56:08 - mmengine - INFO - Epoch(train) [104][120/314] lr: 1.2159e-01 eta: 4:01:04 time: 0.3443 data_time: 0.0479 memory: 9706 grad_norm: 1.0408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3479 loss: 0.3479 2022/08/05 15:56:15 - mmengine - INFO - Epoch(train) [104][140/314] lr: 1.2150e-01 eta: 4:00:58 time: 0.3543 data_time: 0.0477 memory: 9706 grad_norm: 1.1459 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3805 loss: 0.3805 2022/08/05 15:56:22 - mmengine - INFO - Epoch(train) [104][160/314] lr: 1.2142e-01 eta: 4:00:52 time: 0.3448 data_time: 0.0446 memory: 9706 grad_norm: 1.1374 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4031 loss: 0.4031 2022/08/05 15:56:29 - mmengine - INFO - Epoch(train) [104][180/314] lr: 1.2134e-01 eta: 4:00:45 time: 0.3442 data_time: 0.0446 memory: 9706 grad_norm: 1.1618 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3997 loss: 0.3997 2022/08/05 15:56:35 - mmengine - INFO - Epoch(train) [104][200/314] lr: 1.2126e-01 eta: 4:00:39 time: 0.3432 data_time: 0.0440 memory: 9706 grad_norm: 1.1050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3846 loss: 0.3846 2022/08/05 15:56:42 - mmengine - INFO - Epoch(train) [104][220/314] lr: 1.2118e-01 eta: 4:00:32 time: 0.3446 data_time: 0.0432 memory: 9706 grad_norm: 1.0778 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3896 loss: 0.3896 2022/08/05 15:56:49 - mmengine - INFO - Epoch(train) [104][240/314] lr: 1.2110e-01 eta: 4:00:25 time: 0.3446 data_time: 0.0428 memory: 9706 grad_norm: 1.1330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3597 loss: 0.3597 2022/08/05 15:56:56 - mmengine - INFO - Epoch(train) [104][260/314] lr: 1.2102e-01 eta: 4:00:19 time: 0.3498 data_time: 0.0409 memory: 9706 grad_norm: 1.0963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4437 loss: 0.4437 2022/08/05 15:57:03 - mmengine - INFO - Epoch(train) [104][280/314] lr: 1.2093e-01 eta: 4:00:13 time: 0.3485 data_time: 0.0453 memory: 9706 grad_norm: 1.0901 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4122 loss: 0.4122 2022/08/05 15:57:10 - mmengine - INFO - Epoch(train) [104][300/314] lr: 1.2085e-01 eta: 4:00:06 time: 0.3431 data_time: 0.0434 memory: 9706 grad_norm: 1.1473 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4398 loss: 0.4398 2022/08/05 15:57:14 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:57:14 - mmengine - INFO - Epoch(train) [104][314/314] lr: 1.2080e-01 eta: 4:00:06 time: 0.2902 data_time: 0.0364 memory: 9706 grad_norm: 1.2373 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4764 loss: 0.4764 2022/08/05 15:57:14 - mmengine - INFO - Saving checkpoint at 104 epochs 2022/08/05 15:57:26 - mmengine - INFO - Epoch(train) [105][20/314] lr: 1.2071e-01 eta: 3:59:51 time: 0.4587 data_time: 0.1942 memory: 9706 grad_norm: 1.1821 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3553 loss: 0.3553 2022/08/05 15:57:32 - mmengine - INFO - Epoch(train) [105][40/314] lr: 1.2063e-01 eta: 3:59:45 time: 0.3358 data_time: 0.0409 memory: 9706 grad_norm: 1.1548 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4072 loss: 0.4072 2022/08/05 15:57:40 - mmengine - INFO - Epoch(train) [105][60/314] lr: 1.2055e-01 eta: 3:59:38 time: 0.3524 data_time: 0.0430 memory: 9706 grad_norm: 1.1287 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4186 loss: 0.4186 2022/08/05 15:57:47 - mmengine - INFO - Epoch(train) [105][80/314] lr: 1.2047e-01 eta: 3:59:32 time: 0.3513 data_time: 0.0412 memory: 9706 grad_norm: 1.1255 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2813 loss: 0.2813 2022/08/05 15:57:53 - mmengine - INFO - Epoch(train) [105][100/314] lr: 1.2039e-01 eta: 3:59:25 time: 0.3387 data_time: 0.0477 memory: 9706 grad_norm: 1.1094 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4220 loss: 0.4220 2022/08/05 15:58:00 - mmengine - INFO - Epoch(train) [105][120/314] lr: 1.2031e-01 eta: 3:59:19 time: 0.3437 data_time: 0.0427 memory: 9706 grad_norm: 1.1657 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4285 loss: 0.4285 2022/08/05 15:58:07 - mmengine - INFO - Epoch(train) [105][140/314] lr: 1.2022e-01 eta: 3:59:12 time: 0.3430 data_time: 0.0426 memory: 9706 grad_norm: 1.1787 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3745 loss: 0.3745 2022/08/05 15:58:14 - mmengine - INFO - Epoch(train) [105][160/314] lr: 1.2014e-01 eta: 3:59:06 time: 0.3489 data_time: 0.0435 memory: 9706 grad_norm: 1.1608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3435 loss: 0.3435 2022/08/05 15:58:21 - mmengine - INFO - Epoch(train) [105][180/314] lr: 1.2006e-01 eta: 3:58:59 time: 0.3553 data_time: 0.0415 memory: 9706 grad_norm: 1.1340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3606 loss: 0.3606 2022/08/05 15:58:28 - mmengine - INFO - Epoch(train) [105][200/314] lr: 1.1998e-01 eta: 3:58:53 time: 0.3487 data_time: 0.0434 memory: 9706 grad_norm: 1.1823 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4348 loss: 0.4348 2022/08/05 15:58:35 - mmengine - INFO - Epoch(train) [105][220/314] lr: 1.1990e-01 eta: 3:58:46 time: 0.3458 data_time: 0.0534 memory: 9706 grad_norm: 1.0892 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3390 loss: 0.3390 2022/08/05 15:58:42 - mmengine - INFO - Epoch(train) [105][240/314] lr: 1.1982e-01 eta: 3:58:40 time: 0.3479 data_time: 0.0432 memory: 9706 grad_norm: 1.1998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5247 loss: 0.5247 2022/08/05 15:58:49 - mmengine - INFO - Epoch(train) [105][260/314] lr: 1.1973e-01 eta: 3:58:33 time: 0.3399 data_time: 0.0432 memory: 9706 grad_norm: 1.0813 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3941 loss: 0.3941 2022/08/05 15:58:56 - mmengine - INFO - Epoch(train) [105][280/314] lr: 1.1965e-01 eta: 3:58:27 time: 0.3468 data_time: 0.0501 memory: 9706 grad_norm: 1.0885 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3529 loss: 0.3529 2022/08/05 15:59:03 - mmengine - INFO - Epoch(train) [105][300/314] lr: 1.1957e-01 eta: 3:58:20 time: 0.3426 data_time: 0.0485 memory: 9706 grad_norm: 1.1245 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3915 loss: 0.3915 2022/08/05 15:59:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:59:06 - mmengine - INFO - Epoch(train) [105][314/314] lr: 1.1951e-01 eta: 3:58:20 time: 0.2914 data_time: 0.0363 memory: 9706 grad_norm: 1.1757 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4461 loss: 0.4461 2022/08/05 15:59:06 - mmengine - INFO - Saving checkpoint at 105 epochs 2022/08/05 15:59:18 - mmengine - INFO - Epoch(train) [106][20/314] lr: 1.1943e-01 eta: 3:58:06 time: 0.4646 data_time: 0.1669 memory: 9706 grad_norm: 1.0434 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3675 loss: 0.3675 2022/08/05 15:59:22 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 15:59:25 - mmengine - INFO - Epoch(train) [106][40/314] lr: 1.1935e-01 eta: 3:58:00 time: 0.3516 data_time: 0.0417 memory: 9706 grad_norm: 1.1596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3368 loss: 0.3368 2022/08/05 15:59:32 - mmengine - INFO - Epoch(train) [106][60/314] lr: 1.1927e-01 eta: 3:57:53 time: 0.3354 data_time: 0.0472 memory: 9706 grad_norm: 1.1270 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3214 loss: 0.3214 2022/08/05 15:59:39 - mmengine - INFO - Epoch(train) [106][80/314] lr: 1.1919e-01 eta: 3:57:46 time: 0.3470 data_time: 0.0492 memory: 9706 grad_norm: 1.1926 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4302 loss: 0.4302 2022/08/05 15:59:46 - mmengine - INFO - Epoch(train) [106][100/314] lr: 1.1910e-01 eta: 3:57:40 time: 0.3478 data_time: 0.0462 memory: 9706 grad_norm: 1.2009 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4015 loss: 0.4015 2022/08/05 15:59:53 - mmengine - INFO - Epoch(train) [106][120/314] lr: 1.1902e-01 eta: 3:57:33 time: 0.3422 data_time: 0.0447 memory: 9706 grad_norm: 1.1187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3766 loss: 0.3766 2022/08/05 16:00:00 - mmengine - INFO - Epoch(train) [106][140/314] lr: 1.1894e-01 eta: 3:57:27 time: 0.3433 data_time: 0.0447 memory: 9706 grad_norm: 1.0765 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2954 loss: 0.2954 2022/08/05 16:00:07 - mmengine - INFO - Epoch(train) [106][160/314] lr: 1.1886e-01 eta: 3:57:20 time: 0.3514 data_time: 0.0441 memory: 9706 grad_norm: 1.1423 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3680 loss: 0.3680 2022/08/05 16:00:14 - mmengine - INFO - Epoch(train) [106][180/314] lr: 1.1878e-01 eta: 3:57:14 time: 0.3418 data_time: 0.0496 memory: 9706 grad_norm: 1.1798 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3901 loss: 0.3901 2022/08/05 16:00:21 - mmengine - INFO - Epoch(train) [106][200/314] lr: 1.1869e-01 eta: 3:57:07 time: 0.3503 data_time: 0.0472 memory: 9706 grad_norm: 1.1570 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4034 loss: 0.4034 2022/08/05 16:00:28 - mmengine - INFO - Epoch(train) [106][220/314] lr: 1.1861e-01 eta: 3:57:01 time: 0.3455 data_time: 0.0448 memory: 9706 grad_norm: 1.1135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3303 loss: 0.3303 2022/08/05 16:00:34 - mmengine - INFO - Epoch(train) [106][240/314] lr: 1.1853e-01 eta: 3:56:54 time: 0.3419 data_time: 0.0476 memory: 9706 grad_norm: 1.0835 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3302 loss: 0.3302 2022/08/05 16:00:41 - mmengine - INFO - Epoch(train) [106][260/314] lr: 1.1845e-01 eta: 3:56:47 time: 0.3449 data_time: 0.0418 memory: 9706 grad_norm: 1.0505 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3967 loss: 0.3967 2022/08/05 16:00:48 - mmengine - INFO - Epoch(train) [106][280/314] lr: 1.1837e-01 eta: 3:56:41 time: 0.3454 data_time: 0.0528 memory: 9706 grad_norm: 1.1084 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4335 loss: 0.4335 2022/08/05 16:00:55 - mmengine - INFO - Epoch(train) [106][300/314] lr: 1.1829e-01 eta: 3:56:35 time: 0.3519 data_time: 0.0455 memory: 9706 grad_norm: 1.1251 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.3714 loss: 0.3714 2022/08/05 16:00:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:00:59 - mmengine - INFO - Epoch(train) [106][314/314] lr: 1.1823e-01 eta: 3:56:35 time: 0.2970 data_time: 0.0402 memory: 9706 grad_norm: 1.1537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3684 loss: 0.3684 2022/08/05 16:00:59 - mmengine - INFO - Saving checkpoint at 106 epochs 2022/08/05 16:01:11 - mmengine - INFO - Epoch(train) [107][20/314] lr: 1.1815e-01 eta: 3:56:20 time: 0.4461 data_time: 0.1654 memory: 9706 grad_norm: 1.2033 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3451 loss: 0.3451 2022/08/05 16:01:17 - mmengine - INFO - Epoch(train) [107][40/314] lr: 1.1806e-01 eta: 3:56:13 time: 0.3406 data_time: 0.0375 memory: 9706 grad_norm: 1.1785 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3891 loss: 0.3891 2022/08/05 16:01:24 - mmengine - INFO - Epoch(train) [107][60/314] lr: 1.1798e-01 eta: 3:56:07 time: 0.3455 data_time: 0.0402 memory: 9706 grad_norm: 1.1850 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5052 loss: 0.5052 2022/08/05 16:01:31 - mmengine - INFO - Epoch(train) [107][80/314] lr: 1.1790e-01 eta: 3:56:00 time: 0.3445 data_time: 0.0421 memory: 9706 grad_norm: 1.1376 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3961 loss: 0.3961 2022/08/05 16:01:38 - mmengine - INFO - Epoch(train) [107][100/314] lr: 1.1782e-01 eta: 3:55:54 time: 0.3490 data_time: 0.0411 memory: 9706 grad_norm: 1.0308 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3483 loss: 0.3483 2022/08/05 16:01:45 - mmengine - INFO - Epoch(train) [107][120/314] lr: 1.1774e-01 eta: 3:55:47 time: 0.3424 data_time: 0.0446 memory: 9706 grad_norm: 1.1286 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3945 loss: 0.3945 2022/08/05 16:01:52 - mmengine - INFO - Epoch(train) [107][140/314] lr: 1.1765e-01 eta: 3:55:41 time: 0.3526 data_time: 0.0431 memory: 9706 grad_norm: 1.1378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4637 loss: 0.4637 2022/08/05 16:01:59 - mmengine - INFO - Epoch(train) [107][160/314] lr: 1.1757e-01 eta: 3:55:34 time: 0.3440 data_time: 0.0412 memory: 9706 grad_norm: 1.1146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3582 loss: 0.3582 2022/08/05 16:02:06 - mmengine - INFO - Epoch(train) [107][180/314] lr: 1.1749e-01 eta: 3:55:28 time: 0.3435 data_time: 0.0422 memory: 9706 grad_norm: 1.1769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4685 loss: 0.4685 2022/08/05 16:02:13 - mmengine - INFO - Epoch(train) [107][200/314] lr: 1.1741e-01 eta: 3:55:21 time: 0.3472 data_time: 0.0488 memory: 9706 grad_norm: 1.0823 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4236 loss: 0.4236 2022/08/05 16:02:20 - mmengine - INFO - Epoch(train) [107][220/314] lr: 1.1733e-01 eta: 3:55:14 time: 0.3390 data_time: 0.0414 memory: 9706 grad_norm: 1.2188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.3926 loss: 0.3926 2022/08/05 16:02:27 - mmengine - INFO - Epoch(train) [107][240/314] lr: 1.1724e-01 eta: 3:55:08 time: 0.3476 data_time: 0.0433 memory: 9706 grad_norm: 1.1933 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4379 loss: 0.4379 2022/08/05 16:02:33 - mmengine - INFO - Epoch(train) [107][260/314] lr: 1.1716e-01 eta: 3:55:01 time: 0.3408 data_time: 0.0416 memory: 9706 grad_norm: 1.1225 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3983 loss: 0.3983 2022/08/05 16:02:40 - mmengine - INFO - Epoch(train) [107][280/314] lr: 1.1708e-01 eta: 3:54:55 time: 0.3486 data_time: 0.0551 memory: 9706 grad_norm: 1.1408 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3522 loss: 0.3522 2022/08/05 16:02:47 - mmengine - INFO - Epoch(train) [107][300/314] lr: 1.1700e-01 eta: 3:54:48 time: 0.3398 data_time: 0.0389 memory: 9706 grad_norm: 1.0144 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3576 loss: 0.3576 2022/08/05 16:02:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:02:51 - mmengine - INFO - Epoch(train) [107][314/314] lr: 1.1694e-01 eta: 3:54:48 time: 0.2934 data_time: 0.0355 memory: 9706 grad_norm: 1.1550 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3321 loss: 0.3321 2022/08/05 16:02:51 - mmengine - INFO - Saving checkpoint at 107 epochs 2022/08/05 16:03:03 - mmengine - INFO - Epoch(train) [108][20/314] lr: 1.1686e-01 eta: 3:54:34 time: 0.4595 data_time: 0.1781 memory: 9706 grad_norm: 1.2290 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.4253 loss: 0.4253 2022/08/05 16:03:10 - mmengine - INFO - Epoch(train) [108][40/314] lr: 1.1677e-01 eta: 3:54:27 time: 0.3461 data_time: 0.0414 memory: 9706 grad_norm: 1.1464 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4881 loss: 0.4881 2022/08/05 16:03:17 - mmengine - INFO - Epoch(train) [108][60/314] lr: 1.1669e-01 eta: 3:54:21 time: 0.3484 data_time: 0.0521 memory: 9706 grad_norm: 1.1189 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3856 loss: 0.3856 2022/08/05 16:03:24 - mmengine - INFO - Epoch(train) [108][80/314] lr: 1.1661e-01 eta: 3:54:14 time: 0.3499 data_time: 0.0477 memory: 9706 grad_norm: 1.0673 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3874 loss: 0.3874 2022/08/05 16:03:31 - mmengine - INFO - Epoch(train) [108][100/314] lr: 1.1653e-01 eta: 3:54:08 time: 0.3472 data_time: 0.0505 memory: 9706 grad_norm: 1.0917 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3979 loss: 0.3979 2022/08/05 16:03:38 - mmengine - INFO - Epoch(train) [108][120/314] lr: 1.1645e-01 eta: 3:54:01 time: 0.3485 data_time: 0.0507 memory: 9706 grad_norm: 1.0217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4007 loss: 0.4007 2022/08/05 16:03:45 - mmengine - INFO - Epoch(train) [108][140/314] lr: 1.1636e-01 eta: 3:53:55 time: 0.3526 data_time: 0.0467 memory: 9706 grad_norm: 1.1166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4137 loss: 0.4137 2022/08/05 16:03:51 - mmengine - INFO - Epoch(train) [108][160/314] lr: 1.1628e-01 eta: 3:53:48 time: 0.3349 data_time: 0.0428 memory: 9706 grad_norm: 1.0468 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3331 loss: 0.3331 2022/08/05 16:03:58 - mmengine - INFO - Epoch(train) [108][180/314] lr: 1.1620e-01 eta: 3:53:42 time: 0.3458 data_time: 0.0405 memory: 9706 grad_norm: 1.1434 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4417 loss: 0.4417 2022/08/05 16:04:05 - mmengine - INFO - Epoch(train) [108][200/314] lr: 1.1612e-01 eta: 3:53:35 time: 0.3421 data_time: 0.0464 memory: 9706 grad_norm: 1.1514 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3785 loss: 0.3785 2022/08/05 16:04:12 - mmengine - INFO - Epoch(train) [108][220/314] lr: 1.1603e-01 eta: 3:53:28 time: 0.3419 data_time: 0.0435 memory: 9706 grad_norm: 1.1505 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3853 loss: 0.3853 2022/08/05 16:04:19 - mmengine - INFO - Epoch(train) [108][240/314] lr: 1.1595e-01 eta: 3:53:22 time: 0.3518 data_time: 0.0529 memory: 9706 grad_norm: 1.1332 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3997 loss: 0.3997 2022/08/05 16:04:26 - mmengine - INFO - Epoch(train) [108][260/314] lr: 1.1587e-01 eta: 3:53:15 time: 0.3418 data_time: 0.0426 memory: 9706 grad_norm: 1.1732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3894 loss: 0.3894 2022/08/05 16:04:33 - mmengine - INFO - Epoch(train) [108][280/314] lr: 1.1579e-01 eta: 3:53:09 time: 0.3533 data_time: 0.0507 memory: 9706 grad_norm: 1.1065 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3589 loss: 0.3589 2022/08/05 16:04:40 - mmengine - INFO - Epoch(train) [108][300/314] lr: 1.1571e-01 eta: 3:53:02 time: 0.3433 data_time: 0.0428 memory: 9706 grad_norm: 1.1761 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2890 loss: 0.2890 2022/08/05 16:04:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:04:44 - mmengine - INFO - Epoch(train) [108][314/314] lr: 1.1565e-01 eta: 3:53:02 time: 0.2958 data_time: 0.0376 memory: 9706 grad_norm: 1.1313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3150 loss: 0.3150 2022/08/05 16:04:44 - mmengine - INFO - Saving checkpoint at 108 epochs 2022/08/05 16:04:56 - mmengine - INFO - Epoch(train) [109][20/314] lr: 1.1557e-01 eta: 3:52:49 time: 0.4725 data_time: 0.1918 memory: 9706 grad_norm: 1.2042 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4372 loss: 0.4372 2022/08/05 16:05:02 - mmengine - INFO - Epoch(train) [109][40/314] lr: 1.1548e-01 eta: 3:52:42 time: 0.3333 data_time: 0.0420 memory: 9706 grad_norm: 1.2389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4747 loss: 0.4747 2022/08/05 16:05:09 - mmengine - INFO - Epoch(train) [109][60/314] lr: 1.1540e-01 eta: 3:52:35 time: 0.3478 data_time: 0.0477 memory: 9706 grad_norm: 1.1489 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3970 loss: 0.3970 2022/08/05 16:05:16 - mmengine - INFO - Epoch(train) [109][80/314] lr: 1.1532e-01 eta: 3:52:29 time: 0.3444 data_time: 0.0441 memory: 9706 grad_norm: 1.0690 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.2893 loss: 0.2893 2022/08/05 16:05:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:05:23 - mmengine - INFO - Epoch(train) [109][100/314] lr: 1.1524e-01 eta: 3:52:22 time: 0.3423 data_time: 0.0381 memory: 9706 grad_norm: 1.0643 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2699 loss: 0.2699 2022/08/05 16:05:30 - mmengine - INFO - Epoch(train) [109][120/314] lr: 1.1515e-01 eta: 3:52:16 time: 0.3474 data_time: 0.0406 memory: 9706 grad_norm: 1.0565 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3468 loss: 0.3468 2022/08/05 16:05:37 - mmengine - INFO - Epoch(train) [109][140/314] lr: 1.1507e-01 eta: 3:52:09 time: 0.3402 data_time: 0.0420 memory: 9706 grad_norm: 1.1107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3533 loss: 0.3533 2022/08/05 16:05:44 - mmengine - INFO - Epoch(train) [109][160/314] lr: 1.1499e-01 eta: 3:52:02 time: 0.3456 data_time: 0.0454 memory: 9706 grad_norm: 1.1236 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3944 loss: 0.3944 2022/08/05 16:05:51 - mmengine - INFO - Epoch(train) [109][180/314] lr: 1.1491e-01 eta: 3:51:56 time: 0.3420 data_time: 0.0409 memory: 9706 grad_norm: 1.1833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2883 loss: 0.2883 2022/08/05 16:05:58 - mmengine - INFO - Epoch(train) [109][200/314] lr: 1.1482e-01 eta: 3:51:49 time: 0.3537 data_time: 0.0382 memory: 9706 grad_norm: 1.1236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3611 loss: 0.3611 2022/08/05 16:06:04 - mmengine - INFO - Epoch(train) [109][220/314] lr: 1.1474e-01 eta: 3:51:43 time: 0.3452 data_time: 0.0417 memory: 9706 grad_norm: 1.1540 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3727 loss: 0.3727 2022/08/05 16:06:11 - mmengine - INFO - Epoch(train) [109][240/314] lr: 1.1466e-01 eta: 3:51:36 time: 0.3442 data_time: 0.0438 memory: 9706 grad_norm: 1.1564 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3607 loss: 0.3607 2022/08/05 16:06:18 - mmengine - INFO - Epoch(train) [109][260/314] lr: 1.1458e-01 eta: 3:51:30 time: 0.3393 data_time: 0.0420 memory: 9706 grad_norm: 1.1148 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3935 loss: 0.3935 2022/08/05 16:06:25 - mmengine - INFO - Epoch(train) [109][280/314] lr: 1.1449e-01 eta: 3:51:23 time: 0.3427 data_time: 0.0455 memory: 9706 grad_norm: 1.1351 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3163 loss: 0.3163 2022/08/05 16:06:32 - mmengine - INFO - Epoch(train) [109][300/314] lr: 1.1441e-01 eta: 3:51:16 time: 0.3381 data_time: 0.0429 memory: 9706 grad_norm: 1.1612 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3495 loss: 0.3495 2022/08/05 16:06:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:06:36 - mmengine - INFO - Epoch(train) [109][314/314] lr: 1.1435e-01 eta: 3:51:16 time: 0.2906 data_time: 0.0386 memory: 9706 grad_norm: 1.2434 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4328 loss: 0.4328 2022/08/05 16:06:36 - mmengine - INFO - Saving checkpoint at 109 epochs 2022/08/05 16:06:48 - mmengine - INFO - Epoch(train) [110][20/314] lr: 1.1427e-01 eta: 3:51:02 time: 0.4701 data_time: 0.1976 memory: 9706 grad_norm: 1.1567 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3807 loss: 0.3807 2022/08/05 16:06:54 - mmengine - INFO - Epoch(train) [110][40/314] lr: 1.1419e-01 eta: 3:50:55 time: 0.3375 data_time: 0.0393 memory: 9706 grad_norm: 1.1074 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4225 loss: 0.4225 2022/08/05 16:07:01 - mmengine - INFO - Epoch(train) [110][60/314] lr: 1.1411e-01 eta: 3:50:49 time: 0.3487 data_time: 0.0444 memory: 9706 grad_norm: 1.1254 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3600 loss: 0.3600 2022/08/05 16:07:08 - mmengine - INFO - Epoch(train) [110][80/314] lr: 1.1402e-01 eta: 3:50:42 time: 0.3444 data_time: 0.0434 memory: 9706 grad_norm: 1.1894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3931 loss: 0.3931 2022/08/05 16:07:15 - mmengine - INFO - Epoch(train) [110][100/314] lr: 1.1394e-01 eta: 3:50:36 time: 0.3462 data_time: 0.0446 memory: 9706 grad_norm: 1.1417 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3560 loss: 0.3560 2022/08/05 16:07:22 - mmengine - INFO - Epoch(train) [110][120/314] lr: 1.1386e-01 eta: 3:50:29 time: 0.3433 data_time: 0.0423 memory: 9706 grad_norm: 1.1066 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3732 loss: 0.3732 2022/08/05 16:07:29 - mmengine - INFO - Epoch(train) [110][140/314] lr: 1.1378e-01 eta: 3:50:23 time: 0.3385 data_time: 0.0476 memory: 9706 grad_norm: 1.1824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3225 loss: 0.3225 2022/08/05 16:07:36 - mmengine - INFO - Epoch(train) [110][160/314] lr: 1.1369e-01 eta: 3:50:17 time: 0.3679 data_time: 0.0427 memory: 9706 grad_norm: 1.1458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3329 loss: 0.3329 2022/08/05 16:07:43 - mmengine - INFO - Epoch(train) [110][180/314] lr: 1.1361e-01 eta: 3:50:10 time: 0.3345 data_time: 0.0418 memory: 9706 grad_norm: 1.0988 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3297 loss: 0.3297 2022/08/05 16:07:50 - mmengine - INFO - Epoch(train) [110][200/314] lr: 1.1353e-01 eta: 3:50:03 time: 0.3488 data_time: 0.0488 memory: 9706 grad_norm: 1.1081 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3807 loss: 0.3807 2022/08/05 16:07:57 - mmengine - INFO - Epoch(train) [110][220/314] lr: 1.1345e-01 eta: 3:49:57 time: 0.3443 data_time: 0.0433 memory: 9706 grad_norm: 1.1013 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4005 loss: 0.4005 2022/08/05 16:08:04 - mmengine - INFO - Epoch(train) [110][240/314] lr: 1.1336e-01 eta: 3:49:50 time: 0.3482 data_time: 0.0411 memory: 9706 grad_norm: 1.0830 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2882 loss: 0.2882 2022/08/05 16:08:11 - mmengine - INFO - Epoch(train) [110][260/314] lr: 1.1328e-01 eta: 3:49:44 time: 0.3444 data_time: 0.0534 memory: 9706 grad_norm: 1.1528 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3834 loss: 0.3834 2022/08/05 16:08:17 - mmengine - INFO - Epoch(train) [110][280/314] lr: 1.1320e-01 eta: 3:49:37 time: 0.3355 data_time: 0.0414 memory: 9706 grad_norm: 1.1744 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3713 loss: 0.3713 2022/08/05 16:08:24 - mmengine - INFO - Epoch(train) [110][300/314] lr: 1.1311e-01 eta: 3:49:30 time: 0.3420 data_time: 0.0479 memory: 9706 grad_norm: 1.1354 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3394 loss: 0.3394 2022/08/05 16:08:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:08:28 - mmengine - INFO - Epoch(train) [110][314/314] lr: 1.1306e-01 eta: 3:49:30 time: 0.2987 data_time: 0.0431 memory: 9706 grad_norm: 1.2775 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.3879 loss: 0.3879 2022/08/05 16:08:28 - mmengine - INFO - Saving checkpoint at 110 epochs 2022/08/05 16:08:41 - mmengine - INFO - Epoch(val) [110][20/129] eta: 0:00:54 time: 0.4965 data_time: 0.3214 memory: 1867 2022/08/05 16:08:48 - mmengine - INFO - Epoch(val) [110][40/129] eta: 0:00:31 time: 0.3512 data_time: 0.1621 memory: 1867 2022/08/05 16:08:54 - mmengine - INFO - Epoch(val) [110][60/129] eta: 0:00:22 time: 0.3257 data_time: 0.1398 memory: 1867 2022/08/05 16:09:00 - mmengine - INFO - Epoch(val) [110][80/129] eta: 0:00:14 time: 0.3057 data_time: 0.1244 memory: 1867 2022/08/05 16:09:08 - mmengine - INFO - Epoch(val) [110][100/129] eta: 0:00:10 time: 0.3589 data_time: 0.1703 memory: 1867 2022/08/05 16:09:13 - mmengine - INFO - Epoch(val) [110][120/129] eta: 0:00:02 time: 0.2535 data_time: 0.0975 memory: 1867 2022/08/05 16:09:15 - mmengine - INFO - Epoch(val) [110][129/129] acc/top1: 0.8066 acc/top5: 0.9752 acc/mean1: 0.8065 2022/08/05 16:09:26 - mmengine - INFO - Epoch(train) [111][20/314] lr: 1.1297e-01 eta: 3:49:18 time: 0.5509 data_time: 0.2038 memory: 9706 grad_norm: 1.1513 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3812 loss: 0.3812 2022/08/05 16:09:32 - mmengine - INFO - Epoch(train) [111][40/314] lr: 1.1289e-01 eta: 3:49:12 time: 0.3397 data_time: 0.0435 memory: 9706 grad_norm: 1.1118 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3597 loss: 0.3597 2022/08/05 16:09:39 - mmengine - INFO - Epoch(train) [111][60/314] lr: 1.1281e-01 eta: 3:49:05 time: 0.3417 data_time: 0.0434 memory: 9706 grad_norm: 1.1746 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3593 loss: 0.3593 2022/08/05 16:09:46 - mmengine - INFO - Epoch(train) [111][80/314] lr: 1.1273e-01 eta: 3:48:59 time: 0.3498 data_time: 0.0509 memory: 9706 grad_norm: 1.1403 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4351 loss: 0.4351 2022/08/05 16:09:53 - mmengine - INFO - Epoch(train) [111][100/314] lr: 1.1264e-01 eta: 3:48:52 time: 0.3376 data_time: 0.0462 memory: 9706 grad_norm: 1.1434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3683 loss: 0.3683 2022/08/05 16:10:00 - mmengine - INFO - Epoch(train) [111][120/314] lr: 1.1256e-01 eta: 3:48:45 time: 0.3385 data_time: 0.0549 memory: 9706 grad_norm: 1.1367 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3667 loss: 0.3667 2022/08/05 16:10:07 - mmengine - INFO - Epoch(train) [111][140/314] lr: 1.1248e-01 eta: 3:48:38 time: 0.3428 data_time: 0.0555 memory: 9706 grad_norm: 1.1675 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.3564 loss: 0.3564 2022/08/05 16:10:14 - mmengine - INFO - Epoch(train) [111][160/314] lr: 1.1240e-01 eta: 3:48:32 time: 0.3470 data_time: 0.0420 memory: 9706 grad_norm: 1.1068 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.3394 loss: 0.3394 2022/08/05 16:10:21 - mmengine - INFO - Epoch(train) [111][180/314] lr: 1.1231e-01 eta: 3:48:26 time: 0.3587 data_time: 0.0399 memory: 9706 grad_norm: 1.1724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3080 loss: 0.3080 2022/08/05 16:10:28 - mmengine - INFO - Epoch(train) [111][200/314] lr: 1.1223e-01 eta: 3:48:19 time: 0.3393 data_time: 0.0431 memory: 9706 grad_norm: 1.2092 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4585 loss: 0.4585 2022/08/05 16:10:34 - mmengine - INFO - Epoch(train) [111][220/314] lr: 1.1215e-01 eta: 3:48:12 time: 0.3397 data_time: 0.0421 memory: 9706 grad_norm: 1.1632 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3933 loss: 0.3933 2022/08/05 16:10:41 - mmengine - INFO - Epoch(train) [111][240/314] lr: 1.1206e-01 eta: 3:48:06 time: 0.3475 data_time: 0.0433 memory: 9706 grad_norm: 1.2161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4194 loss: 0.4194 2022/08/05 16:10:49 - mmengine - INFO - Epoch(train) [111][260/314] lr: 1.1198e-01 eta: 3:48:00 time: 0.3577 data_time: 0.0437 memory: 9706 grad_norm: 1.1187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3992 loss: 0.3992 2022/08/05 16:10:55 - mmengine - INFO - Epoch(train) [111][280/314] lr: 1.1190e-01 eta: 3:47:53 time: 0.3455 data_time: 0.0457 memory: 9706 grad_norm: 1.1029 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3404 loss: 0.3404 2022/08/05 16:11:02 - mmengine - INFO - Epoch(train) [111][300/314] lr: 1.1182e-01 eta: 3:47:46 time: 0.3357 data_time: 0.0383 memory: 9706 grad_norm: 1.1758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4141 loss: 0.4141 2022/08/05 16:11:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:11:06 - mmengine - INFO - Epoch(train) [111][314/314] lr: 1.1176e-01 eta: 3:47:46 time: 0.2954 data_time: 0.0389 memory: 9706 grad_norm: 1.2847 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 0.4718 loss: 0.4718 2022/08/05 16:11:06 - mmengine - INFO - Saving checkpoint at 111 epochs 2022/08/05 16:11:18 - mmengine - INFO - Epoch(train) [112][20/314] lr: 1.1168e-01 eta: 3:47:32 time: 0.4721 data_time: 0.1884 memory: 9706 grad_norm: 1.1846 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4282 loss: 0.4282 2022/08/05 16:11:25 - mmengine - INFO - Epoch(train) [112][40/314] lr: 1.1159e-01 eta: 3:47:26 time: 0.3460 data_time: 0.0482 memory: 9706 grad_norm: 1.1130 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3566 loss: 0.3566 2022/08/05 16:11:32 - mmengine - INFO - Epoch(train) [112][60/314] lr: 1.1151e-01 eta: 3:47:19 time: 0.3405 data_time: 0.0519 memory: 9706 grad_norm: 1.0846 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3576 loss: 0.3576 2022/08/05 16:11:39 - mmengine - INFO - Epoch(train) [112][80/314] lr: 1.1143e-01 eta: 3:47:13 time: 0.3453 data_time: 0.0449 memory: 9706 grad_norm: 1.2372 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3981 loss: 0.3981 2022/08/05 16:11:46 - mmengine - INFO - Epoch(train) [112][100/314] lr: 1.1134e-01 eta: 3:47:06 time: 0.3510 data_time: 0.0476 memory: 9706 grad_norm: 1.0742 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3911 loss: 0.3911 2022/08/05 16:11:53 - mmengine - INFO - Epoch(train) [112][120/314] lr: 1.1126e-01 eta: 3:46:59 time: 0.3389 data_time: 0.0394 memory: 9706 grad_norm: 1.1408 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4034 loss: 0.4034 2022/08/05 16:12:00 - mmengine - INFO - Epoch(train) [112][140/314] lr: 1.1118e-01 eta: 3:46:53 time: 0.3462 data_time: 0.0406 memory: 9706 grad_norm: 1.1724 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3753 loss: 0.3753 2022/08/05 16:12:02 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:12:06 - mmengine - INFO - Epoch(train) [112][160/314] lr: 1.1110e-01 eta: 3:46:46 time: 0.3479 data_time: 0.0438 memory: 9706 grad_norm: 1.1398 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3369 loss: 0.3369 2022/08/05 16:12:13 - mmengine - INFO - Epoch(train) [112][180/314] lr: 1.1101e-01 eta: 3:46:40 time: 0.3408 data_time: 0.0429 memory: 9706 grad_norm: 1.0886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3406 loss: 0.3406 2022/08/05 16:12:20 - mmengine - INFO - Epoch(train) [112][200/314] lr: 1.1093e-01 eta: 3:46:33 time: 0.3538 data_time: 0.0567 memory: 9706 grad_norm: 1.1574 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.3864 loss: 0.3864 2022/08/05 16:12:27 - mmengine - INFO - Epoch(train) [112][220/314] lr: 1.1085e-01 eta: 3:46:27 time: 0.3501 data_time: 0.0451 memory: 9706 grad_norm: 1.1244 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4272 loss: 0.4272 2022/08/05 16:12:34 - mmengine - INFO - Epoch(train) [112][240/314] lr: 1.1076e-01 eta: 3:46:20 time: 0.3417 data_time: 0.0437 memory: 9706 grad_norm: 1.1703 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4070 loss: 0.4070 2022/08/05 16:12:41 - mmengine - INFO - Epoch(train) [112][260/314] lr: 1.1068e-01 eta: 3:46:14 time: 0.3498 data_time: 0.0385 memory: 9706 grad_norm: 1.1462 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3446 loss: 0.3446 2022/08/05 16:12:48 - mmengine - INFO - Epoch(train) [112][280/314] lr: 1.1060e-01 eta: 3:46:07 time: 0.3397 data_time: 0.0464 memory: 9706 grad_norm: 1.1259 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3704 loss: 0.3704 2022/08/05 16:12:55 - mmengine - INFO - Epoch(train) [112][300/314] lr: 1.1052e-01 eta: 3:46:00 time: 0.3381 data_time: 0.0474 memory: 9706 grad_norm: 1.1399 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3188 loss: 0.3188 2022/08/05 16:12:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:12:59 - mmengine - INFO - Epoch(train) [112][314/314] lr: 1.1046e-01 eta: 3:46:00 time: 0.2898 data_time: 0.0402 memory: 9706 grad_norm: 1.1755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3441 loss: 0.3441 2022/08/05 16:12:59 - mmengine - INFO - Saving checkpoint at 112 epochs 2022/08/05 16:13:11 - mmengine - INFO - Epoch(train) [113][20/314] lr: 1.1037e-01 eta: 3:45:47 time: 0.4761 data_time: 0.1958 memory: 9706 grad_norm: 1.2413 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3839 loss: 0.3839 2022/08/05 16:13:18 - mmengine - INFO - Epoch(train) [113][40/314] lr: 1.1029e-01 eta: 3:45:40 time: 0.3435 data_time: 0.0421 memory: 9706 grad_norm: 1.1631 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3708 loss: 0.3708 2022/08/05 16:13:24 - mmengine - INFO - Epoch(train) [113][60/314] lr: 1.1021e-01 eta: 3:45:34 time: 0.3421 data_time: 0.0395 memory: 9706 grad_norm: 1.1114 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3762 loss: 0.3762 2022/08/05 16:13:31 - mmengine - INFO - Epoch(train) [113][80/314] lr: 1.1013e-01 eta: 3:45:27 time: 0.3405 data_time: 0.0418 memory: 9706 grad_norm: 1.1415 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3196 loss: 0.3196 2022/08/05 16:13:38 - mmengine - INFO - Epoch(train) [113][100/314] lr: 1.1004e-01 eta: 3:45:21 time: 0.3565 data_time: 0.0430 memory: 9706 grad_norm: 1.0329 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3405 loss: 0.3405 2022/08/05 16:13:45 - mmengine - INFO - Epoch(train) [113][120/314] lr: 1.0996e-01 eta: 3:45:14 time: 0.3371 data_time: 0.0401 memory: 9706 grad_norm: 1.1382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3659 loss: 0.3659 2022/08/05 16:13:52 - mmengine - INFO - Epoch(train) [113][140/314] lr: 1.0988e-01 eta: 3:45:07 time: 0.3387 data_time: 0.0467 memory: 9706 grad_norm: 1.0885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3394 loss: 0.3394 2022/08/05 16:13:59 - mmengine - INFO - Epoch(train) [113][160/314] lr: 1.0979e-01 eta: 3:45:01 time: 0.3511 data_time: 0.0426 memory: 9706 grad_norm: 1.1600 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3637 loss: 0.3637 2022/08/05 16:14:06 - mmengine - INFO - Epoch(train) [113][180/314] lr: 1.0971e-01 eta: 3:44:54 time: 0.3457 data_time: 0.0427 memory: 9706 grad_norm: 1.0687 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3432 loss: 0.3432 2022/08/05 16:14:13 - mmengine - INFO - Epoch(train) [113][200/314] lr: 1.0963e-01 eta: 3:44:47 time: 0.3361 data_time: 0.0444 memory: 9706 grad_norm: 1.2940 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3734 loss: 0.3734 2022/08/05 16:14:20 - mmengine - INFO - Epoch(train) [113][220/314] lr: 1.0954e-01 eta: 3:44:41 time: 0.3524 data_time: 0.0403 memory: 9706 grad_norm: 1.1720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4209 loss: 0.4209 2022/08/05 16:14:27 - mmengine - INFO - Epoch(train) [113][240/314] lr: 1.0946e-01 eta: 3:44:34 time: 0.3484 data_time: 0.0430 memory: 9706 grad_norm: 1.1608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2928 loss: 0.2928 2022/08/05 16:14:33 - mmengine - INFO - Epoch(train) [113][260/314] lr: 1.0938e-01 eta: 3:44:28 time: 0.3404 data_time: 0.0435 memory: 9706 grad_norm: 1.2549 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4143 loss: 0.4143 2022/08/05 16:14:40 - mmengine - INFO - Epoch(train) [113][280/314] lr: 1.0930e-01 eta: 3:44:21 time: 0.3505 data_time: 0.0516 memory: 9706 grad_norm: 1.2569 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4536 loss: 0.4536 2022/08/05 16:14:47 - mmengine - INFO - Epoch(train) [113][300/314] lr: 1.0921e-01 eta: 3:44:15 time: 0.3404 data_time: 0.0443 memory: 9706 grad_norm: 1.0559 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2963 loss: 0.2963 2022/08/05 16:14:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:14:51 - mmengine - INFO - Epoch(train) [113][314/314] lr: 1.0915e-01 eta: 3:44:15 time: 0.2877 data_time: 0.0378 memory: 9706 grad_norm: 1.1597 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3544 loss: 0.3544 2022/08/05 16:14:51 - mmengine - INFO - Saving checkpoint at 113 epochs 2022/08/05 16:15:03 - mmengine - INFO - Epoch(train) [114][20/314] lr: 1.0907e-01 eta: 3:44:00 time: 0.4487 data_time: 0.1739 memory: 9706 grad_norm: 1.1879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3796 loss: 0.3796 2022/08/05 16:15:10 - mmengine - INFO - Epoch(train) [114][40/314] lr: 1.0899e-01 eta: 3:43:54 time: 0.3428 data_time: 0.0420 memory: 9706 grad_norm: 1.1656 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4281 loss: 0.4281 2022/08/05 16:15:16 - mmengine - INFO - Epoch(train) [114][60/314] lr: 1.0891e-01 eta: 3:43:47 time: 0.3405 data_time: 0.0477 memory: 9706 grad_norm: 1.1026 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3592 loss: 0.3592 2022/08/05 16:15:23 - mmengine - INFO - Epoch(train) [114][80/314] lr: 1.0882e-01 eta: 3:43:40 time: 0.3450 data_time: 0.0463 memory: 9706 grad_norm: 1.0905 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3531 loss: 0.3531 2022/08/05 16:15:30 - mmengine - INFO - Epoch(train) [114][100/314] lr: 1.0874e-01 eta: 3:43:34 time: 0.3555 data_time: 0.0423 memory: 9706 grad_norm: 1.1010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3524 loss: 0.3524 2022/08/05 16:15:37 - mmengine - INFO - Epoch(train) [114][120/314] lr: 1.0866e-01 eta: 3:43:28 time: 0.3478 data_time: 0.0461 memory: 9706 grad_norm: 1.1656 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3273 loss: 0.3273 2022/08/05 16:15:44 - mmengine - INFO - Epoch(train) [114][140/314] lr: 1.0857e-01 eta: 3:43:21 time: 0.3406 data_time: 0.0486 memory: 9706 grad_norm: 1.1173 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2573 loss: 0.2573 2022/08/05 16:15:51 - mmengine - INFO - Epoch(train) [114][160/314] lr: 1.0849e-01 eta: 3:43:14 time: 0.3431 data_time: 0.0550 memory: 9706 grad_norm: 1.0644 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2869 loss: 0.2869 2022/08/05 16:15:58 - mmengine - INFO - Epoch(train) [114][180/314] lr: 1.0841e-01 eta: 3:43:08 time: 0.3480 data_time: 0.0418 memory: 9706 grad_norm: 1.1642 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3000 loss: 0.3000 2022/08/05 16:16:05 - mmengine - INFO - Epoch(train) [114][200/314] lr: 1.0832e-01 eta: 3:43:01 time: 0.3504 data_time: 0.0605 memory: 9706 grad_norm: 1.1428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3586 loss: 0.3586 2022/08/05 16:16:12 - mmengine - INFO - Epoch(train) [114][220/314] lr: 1.0824e-01 eta: 3:42:55 time: 0.3479 data_time: 0.0397 memory: 9706 grad_norm: 1.1375 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4594 loss: 0.4594 2022/08/05 16:16:19 - mmengine - INFO - Epoch(train) [114][240/314] lr: 1.0816e-01 eta: 3:42:48 time: 0.3442 data_time: 0.0442 memory: 9706 grad_norm: 1.1177 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3393 loss: 0.3393 2022/08/05 16:16:26 - mmengine - INFO - Epoch(train) [114][260/314] lr: 1.0807e-01 eta: 3:42:42 time: 0.3471 data_time: 0.0474 memory: 9706 grad_norm: 1.1019 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3201 loss: 0.3201 2022/08/05 16:16:33 - mmengine - INFO - Epoch(train) [114][280/314] lr: 1.0799e-01 eta: 3:42:35 time: 0.3415 data_time: 0.0428 memory: 9706 grad_norm: 1.1434 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3390 loss: 0.3390 2022/08/05 16:16:40 - mmengine - INFO - Epoch(train) [114][300/314] lr: 1.0791e-01 eta: 3:42:29 time: 0.3496 data_time: 0.0427 memory: 9706 grad_norm: 1.1134 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3364 loss: 0.3364 2022/08/05 16:16:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:16:43 - mmengine - INFO - Epoch(train) [114][314/314] lr: 1.0785e-01 eta: 3:42:29 time: 0.2870 data_time: 0.0359 memory: 9706 grad_norm: 1.2984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3718 loss: 0.3718 2022/08/05 16:16:43 - mmengine - INFO - Saving checkpoint at 114 epochs 2022/08/05 16:16:55 - mmengine - INFO - Epoch(train) [115][20/314] lr: 1.0777e-01 eta: 3:42:15 time: 0.4628 data_time: 0.1802 memory: 9706 grad_norm: 1.2821 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4225 loss: 0.4225 2022/08/05 16:17:02 - mmengine - INFO - Epoch(train) [115][40/314] lr: 1.0768e-01 eta: 3:42:08 time: 0.3449 data_time: 0.0426 memory: 9706 grad_norm: 1.1415 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3495 loss: 0.3495 2022/08/05 16:17:09 - mmengine - INFO - Epoch(train) [115][60/314] lr: 1.0760e-01 eta: 3:42:02 time: 0.3484 data_time: 0.0463 memory: 9706 grad_norm: 1.1889 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3534 loss: 0.3534 2022/08/05 16:17:16 - mmengine - INFO - Epoch(train) [115][80/314] lr: 1.0752e-01 eta: 3:41:55 time: 0.3460 data_time: 0.0418 memory: 9706 grad_norm: 1.1436 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3817 loss: 0.3817 2022/08/05 16:17:23 - mmengine - INFO - Epoch(train) [115][100/314] lr: 1.0743e-01 eta: 3:41:48 time: 0.3400 data_time: 0.0455 memory: 9706 grad_norm: 1.1659 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3532 loss: 0.3532 2022/08/05 16:17:30 - mmengine - INFO - Epoch(train) [115][120/314] lr: 1.0735e-01 eta: 3:41:42 time: 0.3457 data_time: 0.0440 memory: 9706 grad_norm: 1.1308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3911 loss: 0.3911 2022/08/05 16:17:37 - mmengine - INFO - Epoch(train) [115][140/314] lr: 1.0727e-01 eta: 3:41:35 time: 0.3449 data_time: 0.0440 memory: 9706 grad_norm: 1.2104 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3938 loss: 0.3938 2022/08/05 16:17:44 - mmengine - INFO - Epoch(train) [115][160/314] lr: 1.0718e-01 eta: 3:41:29 time: 0.3528 data_time: 0.0453 memory: 9706 grad_norm: 1.1416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2910 loss: 0.2910 2022/08/05 16:17:51 - mmengine - INFO - Epoch(train) [115][180/314] lr: 1.0710e-01 eta: 3:41:22 time: 0.3471 data_time: 0.0407 memory: 9706 grad_norm: 1.1446 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3332 loss: 0.3332 2022/08/05 16:17:57 - mmengine - INFO - Epoch(train) [115][200/314] lr: 1.0702e-01 eta: 3:41:16 time: 0.3429 data_time: 0.0462 memory: 9706 grad_norm: 1.1865 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3855 loss: 0.3855 2022/08/05 16:17:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:18:04 - mmengine - INFO - Epoch(train) [115][220/314] lr: 1.0694e-01 eta: 3:41:09 time: 0.3429 data_time: 0.0434 memory: 9706 grad_norm: 1.1431 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3441 loss: 0.3441 2022/08/05 16:18:11 - mmengine - INFO - Epoch(train) [115][240/314] lr: 1.0685e-01 eta: 3:41:03 time: 0.3453 data_time: 0.0413 memory: 9706 grad_norm: 1.1084 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3809 loss: 0.3809 2022/08/05 16:18:18 - mmengine - INFO - Epoch(train) [115][260/314] lr: 1.0677e-01 eta: 3:40:56 time: 0.3416 data_time: 0.0451 memory: 9706 grad_norm: 1.1038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3889 loss: 0.3889 2022/08/05 16:18:25 - mmengine - INFO - Epoch(train) [115][280/314] lr: 1.0669e-01 eta: 3:40:49 time: 0.3507 data_time: 0.0413 memory: 9706 grad_norm: 1.1877 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3918 loss: 0.3918 2022/08/05 16:18:32 - mmengine - INFO - Epoch(train) [115][300/314] lr: 1.0660e-01 eta: 3:40:43 time: 0.3376 data_time: 0.0403 memory: 9706 grad_norm: 1.0883 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3902 loss: 0.3902 2022/08/05 16:18:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:18:36 - mmengine - INFO - Epoch(train) [115][314/314] lr: 1.0654e-01 eta: 3:40:43 time: 0.2975 data_time: 0.0384 memory: 9706 grad_norm: 1.2058 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.4353 loss: 0.4353 2022/08/05 16:18:36 - mmengine - INFO - Saving checkpoint at 115 epochs 2022/08/05 16:18:48 - mmengine - INFO - Epoch(train) [116][20/314] lr: 1.0646e-01 eta: 3:40:29 time: 0.4631 data_time: 0.1775 memory: 9706 grad_norm: 1.1613 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3719 loss: 0.3719 2022/08/05 16:18:55 - mmengine - INFO - Epoch(train) [116][40/314] lr: 1.0638e-01 eta: 3:40:22 time: 0.3405 data_time: 0.0453 memory: 9706 grad_norm: 1.1467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3972 loss: 0.3972 2022/08/05 16:19:02 - mmengine - INFO - Epoch(train) [116][60/314] lr: 1.0629e-01 eta: 3:40:16 time: 0.3486 data_time: 0.0476 memory: 9706 grad_norm: 1.1888 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3917 loss: 0.3917 2022/08/05 16:19:09 - mmengine - INFO - Epoch(train) [116][80/314] lr: 1.0621e-01 eta: 3:40:09 time: 0.3467 data_time: 0.0413 memory: 9706 grad_norm: 1.0670 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2561 loss: 0.2561 2022/08/05 16:19:15 - mmengine - INFO - Epoch(train) [116][100/314] lr: 1.0613e-01 eta: 3:40:03 time: 0.3480 data_time: 0.0474 memory: 9706 grad_norm: 1.0890 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3354 loss: 0.3354 2022/08/05 16:19:23 - mmengine - INFO - Epoch(train) [116][120/314] lr: 1.0605e-01 eta: 3:39:56 time: 0.3526 data_time: 0.0446 memory: 9706 grad_norm: 1.1434 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3212 loss: 0.3212 2022/08/05 16:19:30 - mmengine - INFO - Epoch(train) [116][140/314] lr: 1.0596e-01 eta: 3:39:50 time: 0.3508 data_time: 0.0410 memory: 9706 grad_norm: 1.2017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3999 loss: 0.3999 2022/08/05 16:19:36 - mmengine - INFO - Epoch(train) [116][160/314] lr: 1.0588e-01 eta: 3:39:43 time: 0.3454 data_time: 0.0458 memory: 9706 grad_norm: 1.1091 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3022 loss: 0.3022 2022/08/05 16:19:43 - mmengine - INFO - Epoch(train) [116][180/314] lr: 1.0580e-01 eta: 3:39:36 time: 0.3379 data_time: 0.0435 memory: 9706 grad_norm: 1.1871 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4205 loss: 0.4205 2022/08/05 16:19:50 - mmengine - INFO - Epoch(train) [116][200/314] lr: 1.0571e-01 eta: 3:39:30 time: 0.3399 data_time: 0.0483 memory: 9706 grad_norm: 1.1223 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3703 loss: 0.3703 2022/08/05 16:19:57 - mmengine - INFO - Epoch(train) [116][220/314] lr: 1.0563e-01 eta: 3:39:23 time: 0.3526 data_time: 0.0451 memory: 9706 grad_norm: 1.1372 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3322 loss: 0.3322 2022/08/05 16:20:04 - mmengine - INFO - Epoch(train) [116][240/314] lr: 1.0555e-01 eta: 3:39:17 time: 0.3375 data_time: 0.0462 memory: 9706 grad_norm: 1.1416 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3699 loss: 0.3699 2022/08/05 16:20:11 - mmengine - INFO - Epoch(train) [116][260/314] lr: 1.0546e-01 eta: 3:39:10 time: 0.3441 data_time: 0.0444 memory: 9706 grad_norm: 1.1800 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.4161 loss: 0.4161 2022/08/05 16:20:18 - mmengine - INFO - Epoch(train) [116][280/314] lr: 1.0538e-01 eta: 3:39:04 time: 0.3652 data_time: 0.0451 memory: 9706 grad_norm: 1.1542 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4192 loss: 0.4192 2022/08/05 16:20:25 - mmengine - INFO - Epoch(train) [116][300/314] lr: 1.0530e-01 eta: 3:38:57 time: 0.3371 data_time: 0.0498 memory: 9706 grad_norm: 1.1661 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3926 loss: 0.3926 2022/08/05 16:20:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:20:29 - mmengine - INFO - Epoch(train) [116][314/314] lr: 1.0524e-01 eta: 3:38:57 time: 0.2867 data_time: 0.0366 memory: 9706 grad_norm: 1.3082 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 0.3838 loss: 0.3838 2022/08/05 16:20:29 - mmengine - INFO - Saving checkpoint at 116 epochs 2022/08/05 16:20:40 - mmengine - INFO - Epoch(train) [117][20/314] lr: 1.0515e-01 eta: 3:38:43 time: 0.4464 data_time: 0.1645 memory: 9706 grad_norm: 1.1858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3915 loss: 0.3915 2022/08/05 16:20:47 - mmengine - INFO - Epoch(train) [117][40/314] lr: 1.0507e-01 eta: 3:38:37 time: 0.3665 data_time: 0.0436 memory: 9706 grad_norm: 1.2136 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.4699 loss: 0.4699 2022/08/05 16:20:54 - mmengine - INFO - Epoch(train) [117][60/314] lr: 1.0499e-01 eta: 3:38:30 time: 0.3401 data_time: 0.0432 memory: 9706 grad_norm: 1.1064 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4393 loss: 0.4393 2022/08/05 16:21:01 - mmengine - INFO - Epoch(train) [117][80/314] lr: 1.0490e-01 eta: 3:38:23 time: 0.3414 data_time: 0.0422 memory: 9706 grad_norm: 1.2081 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3968 loss: 0.3968 2022/08/05 16:21:08 - mmengine - INFO - Epoch(train) [117][100/314] lr: 1.0482e-01 eta: 3:38:17 time: 0.3489 data_time: 0.0446 memory: 9706 grad_norm: 1.1054 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3779 loss: 0.3779 2022/08/05 16:21:15 - mmengine - INFO - Epoch(train) [117][120/314] lr: 1.0474e-01 eta: 3:38:10 time: 0.3482 data_time: 0.0455 memory: 9706 grad_norm: 1.1387 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2921 loss: 0.2921 2022/08/05 16:21:22 - mmengine - INFO - Epoch(train) [117][140/314] lr: 1.0465e-01 eta: 3:38:04 time: 0.3402 data_time: 0.0410 memory: 9706 grad_norm: 1.1985 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3567 loss: 0.3567 2022/08/05 16:21:29 - mmengine - INFO - Epoch(train) [117][160/314] lr: 1.0457e-01 eta: 3:37:57 time: 0.3573 data_time: 0.0497 memory: 9706 grad_norm: 1.1489 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3311 loss: 0.3311 2022/08/05 16:21:36 - mmengine - INFO - Epoch(train) [117][180/314] lr: 1.0449e-01 eta: 3:37:51 time: 0.3431 data_time: 0.0474 memory: 9706 grad_norm: 1.1569 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.3291 loss: 0.3291 2022/08/05 16:21:43 - mmengine - INFO - Epoch(train) [117][200/314] lr: 1.0440e-01 eta: 3:37:44 time: 0.3456 data_time: 0.0407 memory: 9706 grad_norm: 1.2077 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3916 loss: 0.3916 2022/08/05 16:21:50 - mmengine - INFO - Epoch(train) [117][220/314] lr: 1.0432e-01 eta: 3:37:38 time: 0.3410 data_time: 0.0461 memory: 9706 grad_norm: 1.1093 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3017 loss: 0.3017 2022/08/05 16:21:57 - mmengine - INFO - Epoch(train) [117][240/314] lr: 1.0424e-01 eta: 3:37:31 time: 0.3565 data_time: 0.0439 memory: 9706 grad_norm: 1.1405 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4002 loss: 0.4002 2022/08/05 16:22:03 - mmengine - INFO - Epoch(train) [117][260/314] lr: 1.0416e-01 eta: 3:37:24 time: 0.3364 data_time: 0.0408 memory: 9706 grad_norm: 1.1124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3115 loss: 0.3115 2022/08/05 16:22:10 - mmengine - INFO - Epoch(train) [117][280/314] lr: 1.0407e-01 eta: 3:37:18 time: 0.3481 data_time: 0.0434 memory: 9706 grad_norm: 1.1346 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3520 loss: 0.3520 2022/08/05 16:22:17 - mmengine - INFO - Epoch(train) [117][300/314] lr: 1.0399e-01 eta: 3:37:11 time: 0.3387 data_time: 0.0397 memory: 9706 grad_norm: 1.1595 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.2841 loss: 0.2841 2022/08/05 16:22:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:22:21 - mmengine - INFO - Epoch(train) [117][314/314] lr: 1.0393e-01 eta: 3:37:11 time: 0.2936 data_time: 0.0414 memory: 9706 grad_norm: 1.1280 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3212 loss: 0.3212 2022/08/05 16:22:21 - mmengine - INFO - Saving checkpoint at 117 epochs 2022/08/05 16:22:33 - mmengine - INFO - Epoch(train) [118][20/314] lr: 1.0385e-01 eta: 3:36:58 time: 0.4755 data_time: 0.1910 memory: 9706 grad_norm: 1.1110 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3085 loss: 0.3085 2022/08/05 16:22:40 - mmengine - INFO - Epoch(train) [118][40/314] lr: 1.0376e-01 eta: 3:36:51 time: 0.3494 data_time: 0.0517 memory: 9706 grad_norm: 1.2009 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3733 loss: 0.3733 2022/08/05 16:22:47 - mmengine - INFO - Epoch(train) [118][60/314] lr: 1.0368e-01 eta: 3:36:45 time: 0.3432 data_time: 0.0422 memory: 9706 grad_norm: 1.2670 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4614 loss: 0.4614 2022/08/05 16:22:54 - mmengine - INFO - Epoch(train) [118][80/314] lr: 1.0360e-01 eta: 3:36:38 time: 0.3445 data_time: 0.0442 memory: 9706 grad_norm: 1.1454 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3641 loss: 0.3641 2022/08/05 16:23:01 - mmengine - INFO - Epoch(train) [118][100/314] lr: 1.0351e-01 eta: 3:36:31 time: 0.3434 data_time: 0.0466 memory: 9706 grad_norm: 1.1796 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3452 loss: 0.3452 2022/08/05 16:23:08 - mmengine - INFO - Epoch(train) [118][120/314] lr: 1.0343e-01 eta: 3:36:25 time: 0.3495 data_time: 0.0487 memory: 9706 grad_norm: 1.1116 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3528 loss: 0.3528 2022/08/05 16:23:15 - mmengine - INFO - Epoch(train) [118][140/314] lr: 1.0335e-01 eta: 3:36:19 time: 0.3543 data_time: 0.0402 memory: 9706 grad_norm: 1.2139 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.4391 loss: 0.4391 2022/08/05 16:23:22 - mmengine - INFO - Epoch(train) [118][160/314] lr: 1.0326e-01 eta: 3:36:12 time: 0.3400 data_time: 0.0418 memory: 9706 grad_norm: 1.2284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3396 loss: 0.3396 2022/08/05 16:23:29 - mmengine - INFO - Epoch(train) [118][180/314] lr: 1.0318e-01 eta: 3:36:05 time: 0.3433 data_time: 0.0453 memory: 9706 grad_norm: 1.1003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3623 loss: 0.3623 2022/08/05 16:23:35 - mmengine - INFO - Epoch(train) [118][200/314] lr: 1.0310e-01 eta: 3:35:59 time: 0.3386 data_time: 0.0492 memory: 9706 grad_norm: 1.2679 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3060 loss: 0.3060 2022/08/05 16:23:42 - mmengine - INFO - Epoch(train) [118][220/314] lr: 1.0301e-01 eta: 3:35:52 time: 0.3412 data_time: 0.0430 memory: 9706 grad_norm: 1.2243 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3896 loss: 0.3896 2022/08/05 16:23:49 - mmengine - INFO - Epoch(train) [118][240/314] lr: 1.0293e-01 eta: 3:35:45 time: 0.3502 data_time: 0.0520 memory: 9706 grad_norm: 1.2010 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3897 loss: 0.3897 2022/08/05 16:23:56 - mmengine - INFO - Epoch(train) [118][260/314] lr: 1.0285e-01 eta: 3:35:39 time: 0.3389 data_time: 0.0424 memory: 9706 grad_norm: 1.1332 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2870 loss: 0.2870 2022/08/05 16:23:57 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:24:03 - mmengine - INFO - Epoch(train) [118][280/314] lr: 1.0276e-01 eta: 3:35:32 time: 0.3448 data_time: 0.0434 memory: 9706 grad_norm: 1.2726 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4152 loss: 0.4152 2022/08/05 16:24:10 - mmengine - INFO - Epoch(train) [118][300/314] lr: 1.0268e-01 eta: 3:35:25 time: 0.3423 data_time: 0.0468 memory: 9706 grad_norm: 1.1990 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3217 loss: 0.3217 2022/08/05 16:24:14 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:24:14 - mmengine - INFO - Epoch(train) [118][314/314] lr: 1.0262e-01 eta: 3:35:25 time: 0.2915 data_time: 0.0412 memory: 9706 grad_norm: 1.2767 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3681 loss: 0.3681 2022/08/05 16:24:14 - mmengine - INFO - Saving checkpoint at 118 epochs 2022/08/05 16:24:25 - mmengine - INFO - Epoch(train) [119][20/314] lr: 1.0254e-01 eta: 3:35:12 time: 0.4603 data_time: 0.1919 memory: 9706 grad_norm: 1.1382 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3845 loss: 0.3845 2022/08/05 16:24:32 - mmengine - INFO - Epoch(train) [119][40/314] lr: 1.0246e-01 eta: 3:35:05 time: 0.3442 data_time: 0.0424 memory: 9706 grad_norm: 1.2380 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3984 loss: 0.3984 2022/08/05 16:24:39 - mmengine - INFO - Epoch(train) [119][60/314] lr: 1.0237e-01 eta: 3:34:58 time: 0.3478 data_time: 0.0477 memory: 9706 grad_norm: 1.1653 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3788 loss: 0.3788 2022/08/05 16:24:46 - mmengine - INFO - Epoch(train) [119][80/314] lr: 1.0229e-01 eta: 3:34:52 time: 0.3413 data_time: 0.0435 memory: 9706 grad_norm: 1.1088 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2915 loss: 0.2915 2022/08/05 16:24:53 - mmengine - INFO - Epoch(train) [119][100/314] lr: 1.0221e-01 eta: 3:34:45 time: 0.3444 data_time: 0.0440 memory: 9706 grad_norm: 1.1936 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3290 loss: 0.3290 2022/08/05 16:25:00 - mmengine - INFO - Epoch(train) [119][120/314] lr: 1.0212e-01 eta: 3:34:39 time: 0.3430 data_time: 0.0426 memory: 9706 grad_norm: 1.1843 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4296 loss: 0.4296 2022/08/05 16:25:07 - mmengine - INFO - Epoch(train) [119][140/314] lr: 1.0204e-01 eta: 3:34:32 time: 0.3498 data_time: 0.0520 memory: 9706 grad_norm: 1.2253 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3605 loss: 0.3605 2022/08/05 16:25:14 - mmengine - INFO - Epoch(train) [119][160/314] lr: 1.0196e-01 eta: 3:34:25 time: 0.3411 data_time: 0.0446 memory: 9706 grad_norm: 1.0883 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3228 loss: 0.3228 2022/08/05 16:25:21 - mmengine - INFO - Epoch(train) [119][180/314] lr: 1.0187e-01 eta: 3:34:19 time: 0.3466 data_time: 0.0392 memory: 9706 grad_norm: 1.2218 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3828 loss: 0.3828 2022/08/05 16:25:28 - mmengine - INFO - Epoch(train) [119][200/314] lr: 1.0179e-01 eta: 3:34:12 time: 0.3511 data_time: 0.0522 memory: 9706 grad_norm: 1.1915 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3665 loss: 0.3665 2022/08/05 16:25:35 - mmengine - INFO - Epoch(train) [119][220/314] lr: 1.0170e-01 eta: 3:34:06 time: 0.3452 data_time: 0.0413 memory: 9706 grad_norm: 1.1397 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3712 loss: 0.3712 2022/08/05 16:25:42 - mmengine - INFO - Epoch(train) [119][240/314] lr: 1.0162e-01 eta: 3:33:59 time: 0.3486 data_time: 0.0473 memory: 9706 grad_norm: 1.0614 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3505 loss: 0.3505 2022/08/05 16:25:48 - mmengine - INFO - Epoch(train) [119][260/314] lr: 1.0154e-01 eta: 3:33:53 time: 0.3437 data_time: 0.0525 memory: 9706 grad_norm: 1.1130 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.4050 loss: 0.4050 2022/08/05 16:25:55 - mmengine - INFO - Epoch(train) [119][280/314] lr: 1.0145e-01 eta: 3:33:46 time: 0.3430 data_time: 0.0424 memory: 9706 grad_norm: 1.1352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3466 loss: 0.3466 2022/08/05 16:26:02 - mmengine - INFO - Epoch(train) [119][300/314] lr: 1.0137e-01 eta: 3:33:39 time: 0.3398 data_time: 0.0420 memory: 9706 grad_norm: 1.2047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3015 loss: 0.3015 2022/08/05 16:26:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:26:06 - mmengine - INFO - Epoch(train) [119][314/314] lr: 1.0131e-01 eta: 3:33:39 time: 0.2898 data_time: 0.0355 memory: 9706 grad_norm: 1.2407 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4081 loss: 0.4081 2022/08/05 16:26:06 - mmengine - INFO - Saving checkpoint at 119 epochs 2022/08/05 16:26:18 - mmengine - INFO - Epoch(train) [120][20/314] lr: 1.0123e-01 eta: 3:33:26 time: 0.4541 data_time: 0.1734 memory: 9706 grad_norm: 1.2422 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3142 loss: 0.3142 2022/08/05 16:26:24 - mmengine - INFO - Epoch(train) [120][40/314] lr: 1.0115e-01 eta: 3:33:19 time: 0.3362 data_time: 0.0432 memory: 9706 grad_norm: 1.2313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3618 loss: 0.3618 2022/08/05 16:26:31 - mmengine - INFO - Epoch(train) [120][60/314] lr: 1.0106e-01 eta: 3:33:12 time: 0.3475 data_time: 0.0435 memory: 9706 grad_norm: 1.1565 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3924 loss: 0.3924 2022/08/05 16:26:38 - mmengine - INFO - Epoch(train) [120][80/314] lr: 1.0098e-01 eta: 3:33:06 time: 0.3504 data_time: 0.0418 memory: 9706 grad_norm: 1.1349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3262 loss: 0.3262 2022/08/05 16:26:45 - mmengine - INFO - Epoch(train) [120][100/314] lr: 1.0090e-01 eta: 3:32:59 time: 0.3356 data_time: 0.0442 memory: 9706 grad_norm: 1.0739 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2904 loss: 0.2904 2022/08/05 16:26:52 - mmengine - INFO - Epoch(train) [120][120/314] lr: 1.0081e-01 eta: 3:32:52 time: 0.3464 data_time: 0.0453 memory: 9706 grad_norm: 1.1370 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3552 loss: 0.3552 2022/08/05 16:26:59 - mmengine - INFO - Epoch(train) [120][140/314] lr: 1.0073e-01 eta: 3:32:46 time: 0.3506 data_time: 0.0488 memory: 9706 grad_norm: 1.2217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3900 loss: 0.3900 2022/08/05 16:27:06 - mmengine - INFO - Epoch(train) [120][160/314] lr: 1.0065e-01 eta: 3:32:39 time: 0.3408 data_time: 0.0420 memory: 9706 grad_norm: 1.2079 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3898 loss: 0.3898 2022/08/05 16:27:13 - mmengine - INFO - Epoch(train) [120][180/314] lr: 1.0056e-01 eta: 3:32:33 time: 0.3475 data_time: 0.0489 memory: 9706 grad_norm: 1.1472 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3351 loss: 0.3351 2022/08/05 16:27:20 - mmengine - INFO - Epoch(train) [120][200/314] lr: 1.0048e-01 eta: 3:32:26 time: 0.3434 data_time: 0.0416 memory: 9706 grad_norm: 1.2329 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3362 loss: 0.3362 2022/08/05 16:27:27 - mmengine - INFO - Epoch(train) [120][220/314] lr: 1.0040e-01 eta: 3:32:20 time: 0.3486 data_time: 0.0381 memory: 9706 grad_norm: 1.2282 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3208 loss: 0.3208 2022/08/05 16:27:33 - mmengine - INFO - Epoch(train) [120][240/314] lr: 1.0031e-01 eta: 3:32:13 time: 0.3375 data_time: 0.0417 memory: 9706 grad_norm: 1.1830 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3685 loss: 0.3685 2022/08/05 16:27:40 - mmengine - INFO - Epoch(train) [120][260/314] lr: 1.0023e-01 eta: 3:32:06 time: 0.3503 data_time: 0.0453 memory: 9706 grad_norm: 1.1335 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.4258 loss: 0.4258 2022/08/05 16:27:47 - mmengine - INFO - Epoch(train) [120][280/314] lr: 1.0015e-01 eta: 3:32:00 time: 0.3491 data_time: 0.0465 memory: 9706 grad_norm: 1.1814 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3862 loss: 0.3862 2022/08/05 16:27:54 - mmengine - INFO - Epoch(train) [120][300/314] lr: 1.0006e-01 eta: 3:31:53 time: 0.3395 data_time: 0.0440 memory: 9706 grad_norm: 1.0907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3233 loss: 0.3233 2022/08/05 16:27:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:27:58 - mmengine - INFO - Epoch(train) [120][314/314] lr: 1.0000e-01 eta: 3:31:53 time: 0.2929 data_time: 0.0381 memory: 9706 grad_norm: 1.2265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3951 loss: 0.3951 2022/08/05 16:27:58 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/05 16:28:10 - mmengine - INFO - Epoch(val) [120][20/129] eta: 0:00:54 time: 0.4966 data_time: 0.3216 memory: 1867 2022/08/05 16:28:17 - mmengine - INFO - Epoch(val) [120][40/129] eta: 0:00:28 time: 0.3192 data_time: 0.1404 memory: 1867 2022/08/05 16:28:24 - mmengine - INFO - Epoch(val) [120][60/129] eta: 0:00:23 time: 0.3402 data_time: 0.1609 memory: 1867 2022/08/05 16:28:30 - mmengine - INFO - Epoch(val) [120][80/129] eta: 0:00:14 time: 0.3060 data_time: 0.1263 memory: 1867 2022/08/05 16:28:37 - mmengine - INFO - Epoch(val) [120][100/129] eta: 0:00:10 time: 0.3566 data_time: 0.1735 memory: 1867 2022/08/05 16:28:42 - mmengine - INFO - Epoch(val) [120][120/129] eta: 0:00:02 time: 0.2596 data_time: 0.1034 memory: 1867 2022/08/05 16:28:44 - mmengine - INFO - Epoch(val) [120][129/129] acc/top1: 0.8415 acc/top5: 0.9837 acc/mean1: 0.8413 2022/08/05 16:28:44 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_81.pth is removed 2022/08/05 16:28:46 - mmengine - INFO - The best checkpoint with 0.8415 acc/top1 at 121 epoch is saved to best_acc/top1_epoch_121.pth. 2022/08/05 16:28:56 - mmengine - INFO - Epoch(train) [121][20/314] lr: 9.9921e-02 eta: 3:31:40 time: 0.4872 data_time: 0.2124 memory: 9706 grad_norm: 1.2595 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3724 loss: 0.3724 2022/08/05 16:29:03 - mmengine - INFO - Epoch(train) [121][40/314] lr: 9.9837e-02 eta: 3:31:33 time: 0.3466 data_time: 0.0383 memory: 9706 grad_norm: 1.1257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3568 loss: 0.3568 2022/08/05 16:29:10 - mmengine - INFO - Epoch(train) [121][60/314] lr: 9.9754e-02 eta: 3:31:27 time: 0.3404 data_time: 0.0393 memory: 9706 grad_norm: 1.1675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3620 loss: 0.3620 2022/08/05 16:29:17 - mmengine - INFO - Epoch(train) [121][80/314] lr: 9.9671e-02 eta: 3:31:20 time: 0.3638 data_time: 0.0499 memory: 9706 grad_norm: 1.1087 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3114 loss: 0.3114 2022/08/05 16:29:24 - mmengine - INFO - Epoch(train) [121][100/314] lr: 9.9587e-02 eta: 3:31:14 time: 0.3366 data_time: 0.0445 memory: 9706 grad_norm: 1.0928 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2799 loss: 0.2799 2022/08/05 16:29:31 - mmengine - INFO - Epoch(train) [121][120/314] lr: 9.9504e-02 eta: 3:31:07 time: 0.3403 data_time: 0.0513 memory: 9706 grad_norm: 1.1612 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3415 loss: 0.3415 2022/08/05 16:29:38 - mmengine - INFO - Epoch(train) [121][140/314] lr: 9.9421e-02 eta: 3:31:01 time: 0.3528 data_time: 0.0445 memory: 9706 grad_norm: 1.0488 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3576 loss: 0.3576 2022/08/05 16:29:45 - mmengine - INFO - Epoch(train) [121][160/314] lr: 9.9337e-02 eta: 3:30:54 time: 0.3394 data_time: 0.0454 memory: 9706 grad_norm: 1.0672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2567 loss: 0.2567 2022/08/05 16:29:52 - mmengine - INFO - Epoch(train) [121][180/314] lr: 9.9254e-02 eta: 3:30:47 time: 0.3470 data_time: 0.0529 memory: 9706 grad_norm: 1.1703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3184 loss: 0.3184 2022/08/05 16:29:59 - mmengine - INFO - Epoch(train) [121][200/314] lr: 9.9170e-02 eta: 3:30:41 time: 0.3440 data_time: 0.0407 memory: 9706 grad_norm: 1.1872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2792 loss: 0.2792 2022/08/05 16:30:05 - mmengine - INFO - Epoch(train) [121][220/314] lr: 9.9087e-02 eta: 3:30:34 time: 0.3420 data_time: 0.0392 memory: 9706 grad_norm: 1.1490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2673 loss: 0.2673 2022/08/05 16:30:12 - mmengine - INFO - Epoch(train) [121][240/314] lr: 9.9004e-02 eta: 3:30:28 time: 0.3469 data_time: 0.0463 memory: 9706 grad_norm: 1.1022 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3594 loss: 0.3594 2022/08/05 16:30:19 - mmengine - INFO - Epoch(train) [121][260/314] lr: 9.8920e-02 eta: 3:30:21 time: 0.3442 data_time: 0.0391 memory: 9706 grad_norm: 1.2051 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3004 loss: 0.3004 2022/08/05 16:30:26 - mmengine - INFO - Epoch(train) [121][280/314] lr: 9.8837e-02 eta: 3:30:14 time: 0.3430 data_time: 0.0558 memory: 9706 grad_norm: 1.2259 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3516 loss: 0.3516 2022/08/05 16:30:33 - mmengine - INFO - Epoch(train) [121][300/314] lr: 9.8754e-02 eta: 3:30:08 time: 0.3493 data_time: 0.0412 memory: 9706 grad_norm: 1.2561 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2991 loss: 0.2991 2022/08/05 16:30:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:30:37 - mmengine - INFO - Epoch(train) [121][314/314] lr: 9.8695e-02 eta: 3:30:08 time: 0.3226 data_time: 0.0383 memory: 9706 grad_norm: 1.4016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3475 loss: 0.3475 2022/08/05 16:30:37 - mmengine - INFO - Saving checkpoint at 121 epochs 2022/08/05 16:30:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:30:49 - mmengine - INFO - Epoch(train) [122][20/314] lr: 9.8612e-02 eta: 3:29:54 time: 0.4624 data_time: 0.1841 memory: 9706 grad_norm: 1.2358 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3251 loss: 0.3251 2022/08/05 16:30:56 - mmengine - INFO - Epoch(train) [122][40/314] lr: 9.8528e-02 eta: 3:29:47 time: 0.3353 data_time: 0.0400 memory: 9706 grad_norm: 1.1942 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3446 loss: 0.3446 2022/08/05 16:31:03 - mmengine - INFO - Epoch(train) [122][60/314] lr: 9.8445e-02 eta: 3:29:41 time: 0.3517 data_time: 0.0469 memory: 9706 grad_norm: 1.1356 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3196 loss: 0.3196 2022/08/05 16:31:10 - mmengine - INFO - Epoch(train) [122][80/314] lr: 9.8362e-02 eta: 3:29:34 time: 0.3445 data_time: 0.0464 memory: 9706 grad_norm: 1.2125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3651 loss: 0.3651 2022/08/05 16:31:17 - mmengine - INFO - Epoch(train) [122][100/314] lr: 9.8278e-02 eta: 3:29:28 time: 0.3453 data_time: 0.0423 memory: 9706 grad_norm: 1.1195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2992 loss: 0.2992 2022/08/05 16:31:24 - mmengine - INFO - Epoch(train) [122][120/314] lr: 9.8195e-02 eta: 3:29:21 time: 0.3406 data_time: 0.0427 memory: 9706 grad_norm: 1.1527 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2637 loss: 0.2637 2022/08/05 16:31:31 - mmengine - INFO - Epoch(train) [122][140/314] lr: 9.8112e-02 eta: 3:29:14 time: 0.3452 data_time: 0.0431 memory: 9706 grad_norm: 1.1577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3341 loss: 0.3341 2022/08/05 16:31:38 - mmengine - INFO - Epoch(train) [122][160/314] lr: 9.8028e-02 eta: 3:29:08 time: 0.3515 data_time: 0.0457 memory: 9706 grad_norm: 1.1198 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3123 loss: 0.3123 2022/08/05 16:31:44 - mmengine - INFO - Epoch(train) [122][180/314] lr: 9.7945e-02 eta: 3:29:01 time: 0.3444 data_time: 0.0407 memory: 9706 grad_norm: 1.1581 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3108 loss: 0.3108 2022/08/05 16:31:51 - mmengine - INFO - Epoch(train) [122][200/314] lr: 9.7862e-02 eta: 3:28:55 time: 0.3491 data_time: 0.0441 memory: 9706 grad_norm: 1.2110 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3535 loss: 0.3535 2022/08/05 16:31:58 - mmengine - INFO - Epoch(train) [122][220/314] lr: 9.7778e-02 eta: 3:28:48 time: 0.3437 data_time: 0.0424 memory: 9706 grad_norm: 1.1180 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3054 loss: 0.3054 2022/08/05 16:32:05 - mmengine - INFO - Epoch(train) [122][240/314] lr: 9.7695e-02 eta: 3:28:42 time: 0.3491 data_time: 0.0509 memory: 9706 grad_norm: 1.1222 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3537 loss: 0.3537 2022/08/05 16:32:12 - mmengine - INFO - Epoch(train) [122][260/314] lr: 9.7612e-02 eta: 3:28:35 time: 0.3450 data_time: 0.0403 memory: 9706 grad_norm: 1.1487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3138 loss: 0.3138 2022/08/05 16:32:19 - mmengine - INFO - Epoch(train) [122][280/314] lr: 9.7528e-02 eta: 3:28:28 time: 0.3437 data_time: 0.0448 memory: 9706 grad_norm: 1.1973 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3111 loss: 0.3111 2022/08/05 16:32:26 - mmengine - INFO - Epoch(train) [122][300/314] lr: 9.7445e-02 eta: 3:28:22 time: 0.3419 data_time: 0.0508 memory: 9706 grad_norm: 1.2462 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3824 loss: 0.3824 2022/08/05 16:32:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:32:30 - mmengine - INFO - Epoch(train) [122][314/314] lr: 9.7386e-02 eta: 3:28:22 time: 0.2915 data_time: 0.0392 memory: 9706 grad_norm: 1.3439 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.3661 loss: 0.3661 2022/08/05 16:32:30 - mmengine - INFO - Saving checkpoint at 122 epochs 2022/08/05 16:32:42 - mmengine - INFO - Epoch(train) [123][20/314] lr: 9.7303e-02 eta: 3:28:08 time: 0.4498 data_time: 0.1742 memory: 9706 grad_norm: 1.2631 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4120 loss: 0.4120 2022/08/05 16:32:48 - mmengine - INFO - Epoch(train) [123][40/314] lr: 9.7220e-02 eta: 3:28:01 time: 0.3403 data_time: 0.0481 memory: 9706 grad_norm: 1.2111 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.3724 loss: 0.3724 2022/08/05 16:32:55 - mmengine - INFO - Epoch(train) [123][60/314] lr: 9.7136e-02 eta: 3:27:55 time: 0.3458 data_time: 0.0454 memory: 9706 grad_norm: 1.2492 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3922 loss: 0.3922 2022/08/05 16:33:02 - mmengine - INFO - Epoch(train) [123][80/314] lr: 9.7053e-02 eta: 3:27:48 time: 0.3432 data_time: 0.0459 memory: 9706 grad_norm: 1.0844 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3384 loss: 0.3384 2022/08/05 16:33:09 - mmengine - INFO - Epoch(train) [123][100/314] lr: 9.6970e-02 eta: 3:27:41 time: 0.3452 data_time: 0.0468 memory: 9706 grad_norm: 1.0857 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2551 loss: 0.2551 2022/08/05 16:33:16 - mmengine - INFO - Epoch(train) [123][120/314] lr: 9.6886e-02 eta: 3:27:35 time: 0.3475 data_time: 0.0444 memory: 9706 grad_norm: 1.1424 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3139 loss: 0.3139 2022/08/05 16:33:23 - mmengine - INFO - Epoch(train) [123][140/314] lr: 9.6803e-02 eta: 3:27:28 time: 0.3433 data_time: 0.0423 memory: 9706 grad_norm: 1.1433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2865 loss: 0.2865 2022/08/05 16:33:30 - mmengine - INFO - Epoch(train) [123][160/314] lr: 9.6720e-02 eta: 3:27:22 time: 0.3453 data_time: 0.0454 memory: 9706 grad_norm: 1.2125 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3556 loss: 0.3556 2022/08/05 16:33:37 - mmengine - INFO - Epoch(train) [123][180/314] lr: 9.6636e-02 eta: 3:27:15 time: 0.3404 data_time: 0.0445 memory: 9706 grad_norm: 1.2782 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.3837 loss: 0.3837 2022/08/05 16:33:44 - mmengine - INFO - Epoch(train) [123][200/314] lr: 9.6553e-02 eta: 3:27:08 time: 0.3467 data_time: 0.0465 memory: 9706 grad_norm: 1.1755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3597 loss: 0.3597 2022/08/05 16:33:51 - mmengine - INFO - Epoch(train) [123][220/314] lr: 9.6470e-02 eta: 3:27:02 time: 0.3505 data_time: 0.0396 memory: 9706 grad_norm: 1.2101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4287 loss: 0.4287 2022/08/05 16:33:57 - mmengine - INFO - Epoch(train) [123][240/314] lr: 9.6386e-02 eta: 3:26:55 time: 0.3399 data_time: 0.0448 memory: 9706 grad_norm: 1.1742 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3318 loss: 0.3318 2022/08/05 16:34:04 - mmengine - INFO - Epoch(train) [123][260/314] lr: 9.6303e-02 eta: 3:26:49 time: 0.3422 data_time: 0.0509 memory: 9706 grad_norm: 1.1734 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3958 loss: 0.3958 2022/08/05 16:34:12 - mmengine - INFO - Epoch(train) [123][280/314] lr: 9.6220e-02 eta: 3:26:42 time: 0.3621 data_time: 0.0507 memory: 9706 grad_norm: 1.1694 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3598 loss: 0.3598 2022/08/05 16:34:18 - mmengine - INFO - Epoch(train) [123][300/314] lr: 9.6137e-02 eta: 3:26:35 time: 0.3297 data_time: 0.0411 memory: 9706 grad_norm: 1.1690 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2837 loss: 0.2837 2022/08/05 16:34:22 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:34:22 - mmengine - INFO - Epoch(train) [123][314/314] lr: 9.6078e-02 eta: 3:26:35 time: 0.2892 data_time: 0.0356 memory: 9706 grad_norm: 1.2181 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3465 loss: 0.3465 2022/08/05 16:34:22 - mmengine - INFO - Saving checkpoint at 123 epochs 2022/08/05 16:34:34 - mmengine - INFO - Epoch(train) [124][20/314] lr: 9.5995e-02 eta: 3:26:22 time: 0.4481 data_time: 0.1747 memory: 9706 grad_norm: 1.1922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3570 loss: 0.3570 2022/08/05 16:34:41 - mmengine - INFO - Epoch(train) [124][40/314] lr: 9.5912e-02 eta: 3:26:15 time: 0.3484 data_time: 0.0539 memory: 9706 grad_norm: 1.1877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2972 loss: 0.2972 2022/08/05 16:34:48 - mmengine - INFO - Epoch(train) [124][60/314] lr: 9.5828e-02 eta: 3:26:08 time: 0.3451 data_time: 0.0500 memory: 9706 grad_norm: 1.1771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3427 loss: 0.3427 2022/08/05 16:34:55 - mmengine - INFO - Epoch(train) [124][80/314] lr: 9.5745e-02 eta: 3:26:02 time: 0.3423 data_time: 0.0436 memory: 9706 grad_norm: 1.2251 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.4517 loss: 0.4517 2022/08/05 16:35:02 - mmengine - INFO - Epoch(train) [124][100/314] lr: 9.5662e-02 eta: 3:25:55 time: 0.3415 data_time: 0.0435 memory: 9706 grad_norm: 1.1102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3606 loss: 0.3606 2022/08/05 16:35:09 - mmengine - INFO - Epoch(train) [124][120/314] lr: 9.5578e-02 eta: 3:25:49 time: 0.3488 data_time: 0.0545 memory: 9706 grad_norm: 1.1138 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2197 loss: 0.2197 2022/08/05 16:35:16 - mmengine - INFO - Epoch(train) [124][140/314] lr: 9.5495e-02 eta: 3:25:42 time: 0.3433 data_time: 0.0431 memory: 9706 grad_norm: 1.2187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4105 loss: 0.4105 2022/08/05 16:35:23 - mmengine - INFO - Epoch(train) [124][160/314] lr: 9.5412e-02 eta: 3:25:36 time: 0.3513 data_time: 0.0451 memory: 9706 grad_norm: 1.2917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3709 loss: 0.3709 2022/08/05 16:35:30 - mmengine - INFO - Epoch(train) [124][180/314] lr: 9.5328e-02 eta: 3:25:29 time: 0.3432 data_time: 0.0412 memory: 9706 grad_norm: 1.1602 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3154 loss: 0.3154 2022/08/05 16:35:36 - mmengine - INFO - Epoch(train) [124][200/314] lr: 9.5245e-02 eta: 3:25:22 time: 0.3452 data_time: 0.0427 memory: 9706 grad_norm: 1.2179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.4049 loss: 0.4049 2022/08/05 16:35:43 - mmengine - INFO - Epoch(train) [124][220/314] lr: 9.5162e-02 eta: 3:25:16 time: 0.3364 data_time: 0.0427 memory: 9706 grad_norm: 1.0993 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3132 loss: 0.3132 2022/08/05 16:35:50 - mmengine - INFO - Epoch(train) [124][240/314] lr: 9.5079e-02 eta: 3:25:09 time: 0.3463 data_time: 0.0452 memory: 9706 grad_norm: 1.1227 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3526 loss: 0.3526 2022/08/05 16:35:57 - mmengine - INFO - Epoch(train) [124][260/314] lr: 9.4995e-02 eta: 3:25:02 time: 0.3474 data_time: 0.0520 memory: 9706 grad_norm: 1.0840 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2831 loss: 0.2831 2022/08/05 16:36:04 - mmengine - INFO - Epoch(train) [124][280/314] lr: 9.4912e-02 eta: 3:24:56 time: 0.3405 data_time: 0.0511 memory: 9706 grad_norm: 1.1682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3248 loss: 0.3248 2022/08/05 16:36:11 - mmengine - INFO - Epoch(train) [124][300/314] lr: 9.4829e-02 eta: 3:24:49 time: 0.3522 data_time: 0.0419 memory: 9706 grad_norm: 1.2625 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3271 loss: 0.3271 2022/08/05 16:36:15 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:36:15 - mmengine - INFO - Epoch(train) [124][314/314] lr: 9.4771e-02 eta: 3:24:49 time: 0.2906 data_time: 0.0379 memory: 9706 grad_norm: 1.2190 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3158 loss: 0.3158 2022/08/05 16:36:15 - mmengine - INFO - Saving checkpoint at 124 epochs 2022/08/05 16:36:27 - mmengine - INFO - Epoch(train) [125][20/314] lr: 9.4687e-02 eta: 3:24:36 time: 0.4585 data_time: 0.1848 memory: 9706 grad_norm: 1.1452 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3995 loss: 0.3995 2022/08/05 16:36:33 - mmengine - INFO - Epoch(train) [125][40/314] lr: 9.4604e-02 eta: 3:24:29 time: 0.3395 data_time: 0.0457 memory: 9706 grad_norm: 1.1722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3609 loss: 0.3609 2022/08/05 16:36:40 - mmengine - INFO - Epoch(train) [125][60/314] lr: 9.4521e-02 eta: 3:24:22 time: 0.3506 data_time: 0.0416 memory: 9706 grad_norm: 1.1837 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.3492 loss: 0.3492 2022/08/05 16:36:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:36:47 - mmengine - INFO - Epoch(train) [125][80/314] lr: 9.4438e-02 eta: 3:24:16 time: 0.3431 data_time: 0.0433 memory: 9706 grad_norm: 1.1953 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2621 loss: 0.2621 2022/08/05 16:36:54 - mmengine - INFO - Epoch(train) [125][100/314] lr: 9.4354e-02 eta: 3:24:09 time: 0.3472 data_time: 0.0423 memory: 9706 grad_norm: 1.1619 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2950 loss: 0.2950 2022/08/05 16:37:01 - mmengine - INFO - Epoch(train) [125][120/314] lr: 9.4271e-02 eta: 3:24:03 time: 0.3436 data_time: 0.0396 memory: 9706 grad_norm: 1.2535 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3427 loss: 0.3427 2022/08/05 16:37:08 - mmengine - INFO - Epoch(train) [125][140/314] lr: 9.4188e-02 eta: 3:23:56 time: 0.3468 data_time: 0.0429 memory: 9706 grad_norm: 1.2040 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4348 loss: 0.4348 2022/08/05 16:37:15 - mmengine - INFO - Epoch(train) [125][160/314] lr: 9.4105e-02 eta: 3:23:49 time: 0.3395 data_time: 0.0424 memory: 9706 grad_norm: 1.1655 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3402 loss: 0.3402 2022/08/05 16:37:22 - mmengine - INFO - Epoch(train) [125][180/314] lr: 9.4021e-02 eta: 3:23:43 time: 0.3487 data_time: 0.0589 memory: 9706 grad_norm: 1.1972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2834 loss: 0.2834 2022/08/05 16:37:29 - mmengine - INFO - Epoch(train) [125][200/314] lr: 9.3938e-02 eta: 3:23:36 time: 0.3403 data_time: 0.0453 memory: 9706 grad_norm: 1.1549 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2869 loss: 0.2869 2022/08/05 16:37:35 - mmengine - INFO - Epoch(train) [125][220/314] lr: 9.3855e-02 eta: 3:23:29 time: 0.3396 data_time: 0.0433 memory: 9706 grad_norm: 1.2028 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3596 loss: 0.3596 2022/08/05 16:37:43 - mmengine - INFO - Epoch(train) [125][240/314] lr: 9.3772e-02 eta: 3:23:23 time: 0.3572 data_time: 0.0482 memory: 9706 grad_norm: 1.2160 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3806 loss: 0.3806 2022/08/05 16:37:49 - mmengine - INFO - Epoch(train) [125][260/314] lr: 9.3688e-02 eta: 3:23:16 time: 0.3427 data_time: 0.0428 memory: 9706 grad_norm: 1.0952 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3247 loss: 0.3247 2022/08/05 16:37:56 - mmengine - INFO - Epoch(train) [125][280/314] lr: 9.3605e-02 eta: 3:23:10 time: 0.3454 data_time: 0.0444 memory: 9706 grad_norm: 1.2152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4373 loss: 0.4373 2022/08/05 16:38:03 - mmengine - INFO - Epoch(train) [125][300/314] lr: 9.3522e-02 eta: 3:23:03 time: 0.3415 data_time: 0.0385 memory: 9706 grad_norm: 1.1163 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3329 loss: 0.3329 2022/08/05 16:38:07 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:38:07 - mmengine - INFO - Epoch(train) [125][314/314] lr: 9.3464e-02 eta: 3:23:03 time: 0.2901 data_time: 0.0357 memory: 9706 grad_norm: 1.2076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3597 loss: 0.3597 2022/08/05 16:38:07 - mmengine - INFO - Saving checkpoint at 125 epochs 2022/08/05 16:38:19 - mmengine - INFO - Epoch(train) [126][20/314] lr: 9.3381e-02 eta: 3:22:50 time: 0.4658 data_time: 0.1920 memory: 9706 grad_norm: 1.2393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3331 loss: 0.3331 2022/08/05 16:38:26 - mmengine - INFO - Epoch(train) [126][40/314] lr: 9.3297e-02 eta: 3:22:43 time: 0.3382 data_time: 0.0469 memory: 9706 grad_norm: 1.2185 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.4027 loss: 0.4027 2022/08/05 16:38:33 - mmengine - INFO - Epoch(train) [126][60/314] lr: 9.3214e-02 eta: 3:22:36 time: 0.3490 data_time: 0.0386 memory: 9706 grad_norm: 1.2157 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3275 loss: 0.3275 2022/08/05 16:38:40 - mmengine - INFO - Epoch(train) [126][80/314] lr: 9.3131e-02 eta: 3:22:30 time: 0.3482 data_time: 0.0447 memory: 9706 grad_norm: 1.1793 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3568 loss: 0.3568 2022/08/05 16:38:47 - mmengine - INFO - Epoch(train) [126][100/314] lr: 9.3048e-02 eta: 3:22:23 time: 0.3388 data_time: 0.0387 memory: 9706 grad_norm: 1.1310 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2859 loss: 0.2859 2022/08/05 16:38:53 - mmengine - INFO - Epoch(train) [126][120/314] lr: 9.2965e-02 eta: 3:22:17 time: 0.3441 data_time: 0.0481 memory: 9706 grad_norm: 1.1930 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3115 loss: 0.3115 2022/08/05 16:39:00 - mmengine - INFO - Epoch(train) [126][140/314] lr: 9.2882e-02 eta: 3:22:10 time: 0.3391 data_time: 0.0439 memory: 9706 grad_norm: 1.2270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3191 loss: 0.3191 2022/08/05 16:39:07 - mmengine - INFO - Epoch(train) [126][160/314] lr: 9.2798e-02 eta: 3:22:03 time: 0.3560 data_time: 0.0435 memory: 9706 grad_norm: 1.1484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3386 loss: 0.3386 2022/08/05 16:39:14 - mmengine - INFO - Epoch(train) [126][180/314] lr: 9.2715e-02 eta: 3:21:57 time: 0.3432 data_time: 0.0488 memory: 9706 grad_norm: 1.1156 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3918 loss: 0.3918 2022/08/05 16:39:21 - mmengine - INFO - Epoch(train) [126][200/314] lr: 9.2632e-02 eta: 3:21:50 time: 0.3491 data_time: 0.0424 memory: 9706 grad_norm: 1.1562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2797 loss: 0.2797 2022/08/05 16:39:28 - mmengine - INFO - Epoch(train) [126][220/314] lr: 9.2549e-02 eta: 3:21:44 time: 0.3500 data_time: 0.0452 memory: 9706 grad_norm: 1.2303 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3917 loss: 0.3917 2022/08/05 16:39:35 - mmengine - INFO - Epoch(train) [126][240/314] lr: 9.2466e-02 eta: 3:21:37 time: 0.3404 data_time: 0.0411 memory: 9706 grad_norm: 1.0852 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2917 loss: 0.2917 2022/08/05 16:39:42 - mmengine - INFO - Epoch(train) [126][260/314] lr: 9.2383e-02 eta: 3:21:30 time: 0.3447 data_time: 0.0516 memory: 9706 grad_norm: 1.1712 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3281 loss: 0.3281 2022/08/05 16:39:49 - mmengine - INFO - Epoch(train) [126][280/314] lr: 9.2300e-02 eta: 3:21:24 time: 0.3480 data_time: 0.0468 memory: 9706 grad_norm: 1.1860 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3002 loss: 0.3002 2022/08/05 16:39:56 - mmengine - INFO - Epoch(train) [126][300/314] lr: 9.2216e-02 eta: 3:21:17 time: 0.3399 data_time: 0.0433 memory: 9706 grad_norm: 1.1680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3186 loss: 0.3186 2022/08/05 16:39:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:39:59 - mmengine - INFO - Epoch(train) [126][314/314] lr: 9.2158e-02 eta: 3:21:17 time: 0.2895 data_time: 0.0359 memory: 9706 grad_norm: 1.2455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3060 loss: 0.3060 2022/08/05 16:40:00 - mmengine - INFO - Saving checkpoint at 126 epochs 2022/08/05 16:40:11 - mmengine - INFO - Epoch(train) [127][20/314] lr: 9.2075e-02 eta: 3:21:04 time: 0.4655 data_time: 0.1921 memory: 9706 grad_norm: 1.2093 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3406 loss: 0.3406 2022/08/05 16:40:18 - mmengine - INFO - Epoch(train) [127][40/314] lr: 9.1992e-02 eta: 3:20:57 time: 0.3506 data_time: 0.0393 memory: 9706 grad_norm: 1.1797 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3310 loss: 0.3310 2022/08/05 16:40:25 - mmengine - INFO - Epoch(train) [127][60/314] lr: 9.1909e-02 eta: 3:20:51 time: 0.3412 data_time: 0.0416 memory: 9706 grad_norm: 1.1113 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3448 loss: 0.3448 2022/08/05 16:40:32 - mmengine - INFO - Epoch(train) [127][80/314] lr: 9.1826e-02 eta: 3:20:44 time: 0.3481 data_time: 0.0427 memory: 9706 grad_norm: 1.1466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2479 loss: 0.2479 2022/08/05 16:40:39 - mmengine - INFO - Epoch(train) [127][100/314] lr: 9.1743e-02 eta: 3:20:38 time: 0.3479 data_time: 0.0438 memory: 9706 grad_norm: 1.2011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3522 loss: 0.3522 2022/08/05 16:40:46 - mmengine - INFO - Epoch(train) [127][120/314] lr: 9.1660e-02 eta: 3:20:31 time: 0.3401 data_time: 0.0511 memory: 9706 grad_norm: 1.2206 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3345 loss: 0.3345 2022/08/05 16:40:53 - mmengine - INFO - Epoch(train) [127][140/314] lr: 9.1577e-02 eta: 3:20:24 time: 0.3371 data_time: 0.0437 memory: 9706 grad_norm: 1.2618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3081 loss: 0.3081 2022/08/05 16:41:00 - mmengine - INFO - Epoch(train) [127][160/314] lr: 9.1493e-02 eta: 3:20:18 time: 0.3522 data_time: 0.0445 memory: 9706 grad_norm: 1.2050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3215 loss: 0.3215 2022/08/05 16:41:07 - mmengine - INFO - Epoch(train) [127][180/314] lr: 9.1410e-02 eta: 3:20:11 time: 0.3429 data_time: 0.0437 memory: 9706 grad_norm: 1.2049 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3432 loss: 0.3432 2022/08/05 16:41:13 - mmengine - INFO - Epoch(train) [127][200/314] lr: 9.1327e-02 eta: 3:20:04 time: 0.3372 data_time: 0.0400 memory: 9706 grad_norm: 1.1574 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2969 loss: 0.2969 2022/08/05 16:41:20 - mmengine - INFO - Epoch(train) [127][220/314] lr: 9.1244e-02 eta: 3:19:58 time: 0.3428 data_time: 0.0443 memory: 9706 grad_norm: 1.1848 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3488 loss: 0.3488 2022/08/05 16:41:27 - mmengine - INFO - Epoch(train) [127][240/314] lr: 9.1161e-02 eta: 3:19:51 time: 0.3470 data_time: 0.0438 memory: 9706 grad_norm: 1.1811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3418 loss: 0.3418 2022/08/05 16:41:34 - mmengine - INFO - Epoch(train) [127][260/314] lr: 9.1078e-02 eta: 3:19:44 time: 0.3367 data_time: 0.0443 memory: 9706 grad_norm: 1.1752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3009 loss: 0.3009 2022/08/05 16:41:41 - mmengine - INFO - Epoch(train) [127][280/314] lr: 9.0995e-02 eta: 3:19:38 time: 0.3499 data_time: 0.0443 memory: 9706 grad_norm: 1.2053 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3552 loss: 0.3552 2022/08/05 16:41:48 - mmengine - INFO - Epoch(train) [127][300/314] lr: 9.0912e-02 eta: 3:19:31 time: 0.3427 data_time: 0.0400 memory: 9706 grad_norm: 1.1437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2577 loss: 0.2577 2022/08/05 16:41:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:41:52 - mmengine - INFO - Epoch(train) [127][314/314] lr: 9.0854e-02 eta: 3:19:31 time: 0.2872 data_time: 0.0352 memory: 9706 grad_norm: 1.2481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3073 loss: 0.3073 2022/08/05 16:41:52 - mmengine - INFO - Saving checkpoint at 127 epochs 2022/08/05 16:42:03 - mmengine - INFO - Epoch(train) [128][20/314] lr: 9.0771e-02 eta: 3:19:17 time: 0.4472 data_time: 0.1641 memory: 9706 grad_norm: 1.2161 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3058 loss: 0.3058 2022/08/05 16:42:10 - mmengine - INFO - Epoch(train) [128][40/314] lr: 9.0688e-02 eta: 3:19:11 time: 0.3433 data_time: 0.0502 memory: 9706 grad_norm: 1.2815 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3207 loss: 0.3207 2022/08/05 16:42:17 - mmengine - INFO - Epoch(train) [128][60/314] lr: 9.0605e-02 eta: 3:19:04 time: 0.3520 data_time: 0.0530 memory: 9706 grad_norm: 1.2607 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3214 loss: 0.3214 2022/08/05 16:42:24 - mmengine - INFO - Epoch(train) [128][80/314] lr: 9.0522e-02 eta: 3:18:58 time: 0.3460 data_time: 0.0405 memory: 9706 grad_norm: 1.1408 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.3047 loss: 0.3047 2022/08/05 16:42:31 - mmengine - INFO - Epoch(train) [128][100/314] lr: 9.0439e-02 eta: 3:18:51 time: 0.3469 data_time: 0.0474 memory: 9706 grad_norm: 1.2135 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2890 loss: 0.2890 2022/08/05 16:42:38 - mmengine - INFO - Epoch(train) [128][120/314] lr: 9.0356e-02 eta: 3:18:45 time: 0.3454 data_time: 0.0477 memory: 9706 grad_norm: 1.2229 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3245 loss: 0.3245 2022/08/05 16:42:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:42:45 - mmengine - INFO - Epoch(train) [128][140/314] lr: 9.0273e-02 eta: 3:18:38 time: 0.3536 data_time: 0.0431 memory: 9706 grad_norm: 1.0325 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2592 loss: 0.2592 2022/08/05 16:42:52 - mmengine - INFO - Epoch(train) [128][160/314] lr: 9.0190e-02 eta: 3:18:32 time: 0.3494 data_time: 0.0400 memory: 9706 grad_norm: 1.2242 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3728 loss: 0.3728 2022/08/05 16:42:59 - mmengine - INFO - Epoch(train) [128][180/314] lr: 9.0107e-02 eta: 3:18:25 time: 0.3474 data_time: 0.0407 memory: 9706 grad_norm: 1.2763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3473 loss: 0.3473 2022/08/05 16:43:06 - mmengine - INFO - Epoch(train) [128][200/314] lr: 9.0024e-02 eta: 3:18:18 time: 0.3393 data_time: 0.0510 memory: 9706 grad_norm: 1.2397 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2903 loss: 0.2903 2022/08/05 16:43:13 - mmengine - INFO - Epoch(train) [128][220/314] lr: 8.9941e-02 eta: 3:18:12 time: 0.3507 data_time: 0.0437 memory: 9706 grad_norm: 1.3445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3689 loss: 0.3689 2022/08/05 16:43:20 - mmengine - INFO - Epoch(train) [128][240/314] lr: 8.9858e-02 eta: 3:18:05 time: 0.3427 data_time: 0.0463 memory: 9706 grad_norm: 1.1721 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3752 loss: 0.3752 2022/08/05 16:43:27 - mmengine - INFO - Epoch(train) [128][260/314] lr: 8.9775e-02 eta: 3:17:58 time: 0.3453 data_time: 0.0516 memory: 9706 grad_norm: 1.2519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3395 loss: 0.3395 2022/08/05 16:43:33 - mmengine - INFO - Epoch(train) [128][280/314] lr: 8.9692e-02 eta: 3:17:52 time: 0.3409 data_time: 0.0404 memory: 9706 grad_norm: 1.2373 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3362 loss: 0.3362 2022/08/05 16:43:40 - mmengine - INFO - Epoch(train) [128][300/314] lr: 8.9609e-02 eta: 3:17:45 time: 0.3468 data_time: 0.0546 memory: 9706 grad_norm: 1.1706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2498 loss: 0.2498 2022/08/05 16:43:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:43:44 - mmengine - INFO - Epoch(train) [128][314/314] lr: 8.9551e-02 eta: 3:17:45 time: 0.2839 data_time: 0.0356 memory: 9706 grad_norm: 1.2554 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3365 loss: 0.3365 2022/08/05 16:43:44 - mmengine - INFO - Saving checkpoint at 128 epochs 2022/08/05 16:43:56 - mmengine - INFO - Epoch(train) [129][20/314] lr: 8.9468e-02 eta: 3:17:32 time: 0.4628 data_time: 0.1819 memory: 9706 grad_norm: 1.1241 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2600 loss: 0.2600 2022/08/05 16:44:03 - mmengine - INFO - Epoch(train) [129][40/314] lr: 8.9385e-02 eta: 3:17:25 time: 0.3438 data_time: 0.0430 memory: 9706 grad_norm: 1.2134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3423 loss: 0.3423 2022/08/05 16:44:10 - mmengine - INFO - Epoch(train) [129][60/314] lr: 8.9303e-02 eta: 3:17:19 time: 0.3418 data_time: 0.0438 memory: 9706 grad_norm: 1.1053 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3170 loss: 0.3170 2022/08/05 16:44:17 - mmengine - INFO - Epoch(train) [129][80/314] lr: 8.9220e-02 eta: 3:17:12 time: 0.3447 data_time: 0.0501 memory: 9706 grad_norm: 1.2357 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2801 loss: 0.2801 2022/08/05 16:44:24 - mmengine - INFO - Epoch(train) [129][100/314] lr: 8.9137e-02 eta: 3:17:06 time: 0.3578 data_time: 0.0471 memory: 9706 grad_norm: 1.1966 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3363 loss: 0.3363 2022/08/05 16:44:31 - mmengine - INFO - Epoch(train) [129][120/314] lr: 8.9054e-02 eta: 3:16:59 time: 0.3452 data_time: 0.0464 memory: 9706 grad_norm: 1.1733 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3192 loss: 0.3192 2022/08/05 16:44:38 - mmengine - INFO - Epoch(train) [129][140/314] lr: 8.8971e-02 eta: 3:16:52 time: 0.3448 data_time: 0.0534 memory: 9706 grad_norm: 1.1526 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2730 loss: 0.2730 2022/08/05 16:44:44 - mmengine - INFO - Epoch(train) [129][160/314] lr: 8.8888e-02 eta: 3:16:46 time: 0.3475 data_time: 0.0451 memory: 9706 grad_norm: 1.1083 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3371 loss: 0.3371 2022/08/05 16:44:51 - mmengine - INFO - Epoch(train) [129][180/314] lr: 8.8805e-02 eta: 3:16:39 time: 0.3449 data_time: 0.0455 memory: 9706 grad_norm: 1.2079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3028 loss: 0.3028 2022/08/05 16:44:58 - mmengine - INFO - Epoch(train) [129][200/314] lr: 8.8722e-02 eta: 3:16:32 time: 0.3414 data_time: 0.0475 memory: 9706 grad_norm: 1.2547 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3730 loss: 0.3730 2022/08/05 16:45:05 - mmengine - INFO - Epoch(train) [129][220/314] lr: 8.8640e-02 eta: 3:16:26 time: 0.3366 data_time: 0.0438 memory: 9706 grad_norm: 1.1581 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3100 loss: 0.3100 2022/08/05 16:45:12 - mmengine - INFO - Epoch(train) [129][240/314] lr: 8.8557e-02 eta: 3:16:19 time: 0.3451 data_time: 0.0408 memory: 9706 grad_norm: 1.1921 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2479 loss: 0.2479 2022/08/05 16:45:19 - mmengine - INFO - Epoch(train) [129][260/314] lr: 8.8474e-02 eta: 3:16:13 time: 0.3585 data_time: 0.0611 memory: 9706 grad_norm: 1.2202 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3004 loss: 0.3004 2022/08/05 16:45:26 - mmengine - INFO - Epoch(train) [129][280/314] lr: 8.8391e-02 eta: 3:16:06 time: 0.3357 data_time: 0.0456 memory: 9706 grad_norm: 1.2290 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3231 loss: 0.3231 2022/08/05 16:45:33 - mmengine - INFO - Epoch(train) [129][300/314] lr: 8.8308e-02 eta: 3:15:59 time: 0.3391 data_time: 0.0556 memory: 9706 grad_norm: 1.1300 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3014 loss: 0.3014 2022/08/05 16:45:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:45:36 - mmengine - INFO - Epoch(train) [129][314/314] lr: 8.8250e-02 eta: 3:15:59 time: 0.2860 data_time: 0.0363 memory: 9706 grad_norm: 1.2989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.3313 loss: 0.3313 2022/08/05 16:45:36 - mmengine - INFO - Saving checkpoint at 129 epochs 2022/08/05 16:45:48 - mmengine - INFO - Epoch(train) [130][20/314] lr: 8.8168e-02 eta: 3:15:45 time: 0.4375 data_time: 0.1627 memory: 9706 grad_norm: 1.2928 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3439 loss: 0.3439 2022/08/05 16:45:55 - mmengine - INFO - Epoch(train) [130][40/314] lr: 8.8085e-02 eta: 3:15:39 time: 0.3483 data_time: 0.0411 memory: 9706 grad_norm: 1.2929 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.3672 loss: 0.3672 2022/08/05 16:46:02 - mmengine - INFO - Epoch(train) [130][60/314] lr: 8.8002e-02 eta: 3:15:32 time: 0.3402 data_time: 0.0414 memory: 9706 grad_norm: 1.1899 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3635 loss: 0.3635 2022/08/05 16:46:09 - mmengine - INFO - Epoch(train) [130][80/314] lr: 8.7919e-02 eta: 3:15:26 time: 0.3515 data_time: 0.0437 memory: 9706 grad_norm: 1.2068 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3610 loss: 0.3610 2022/08/05 16:46:15 - mmengine - INFO - Epoch(train) [130][100/314] lr: 8.7837e-02 eta: 3:15:19 time: 0.3312 data_time: 0.0432 memory: 9706 grad_norm: 1.1946 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3112 loss: 0.3112 2022/08/05 16:46:22 - mmengine - INFO - Epoch(train) [130][120/314] lr: 8.7754e-02 eta: 3:15:12 time: 0.3434 data_time: 0.0428 memory: 9706 grad_norm: 1.1940 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3451 loss: 0.3451 2022/08/05 16:46:29 - mmengine - INFO - Epoch(train) [130][140/314] lr: 8.7671e-02 eta: 3:15:06 time: 0.3549 data_time: 0.0476 memory: 9706 grad_norm: 1.1579 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2705 loss: 0.2705 2022/08/05 16:46:36 - mmengine - INFO - Epoch(train) [130][160/314] lr: 8.7588e-02 eta: 3:14:59 time: 0.3377 data_time: 0.0452 memory: 9706 grad_norm: 1.2174 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2882 loss: 0.2882 2022/08/05 16:46:43 - mmengine - INFO - Epoch(train) [130][180/314] lr: 8.7506e-02 eta: 3:14:52 time: 0.3438 data_time: 0.0461 memory: 9706 grad_norm: 1.2050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2986 loss: 0.2986 2022/08/05 16:46:50 - mmengine - INFO - Epoch(train) [130][200/314] lr: 8.7423e-02 eta: 3:14:46 time: 0.3431 data_time: 0.0415 memory: 9706 grad_norm: 1.2154 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3174 loss: 0.3174 2022/08/05 16:46:57 - mmengine - INFO - Epoch(train) [130][220/314] lr: 8.7340e-02 eta: 3:14:39 time: 0.3491 data_time: 0.0391 memory: 9706 grad_norm: 1.2486 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4229 loss: 0.4229 2022/08/05 16:47:04 - mmengine - INFO - Epoch(train) [130][240/314] lr: 8.7257e-02 eta: 3:14:33 time: 0.3545 data_time: 0.0406 memory: 9706 grad_norm: 1.2334 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2942 loss: 0.2942 2022/08/05 16:47:11 - mmengine - INFO - Epoch(train) [130][260/314] lr: 8.7175e-02 eta: 3:14:26 time: 0.3430 data_time: 0.0502 memory: 9706 grad_norm: 1.1481 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2942 loss: 0.2942 2022/08/05 16:47:18 - mmengine - INFO - Epoch(train) [130][280/314] lr: 8.7092e-02 eta: 3:14:20 time: 0.3464 data_time: 0.0404 memory: 9706 grad_norm: 1.2190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2876 loss: 0.2876 2022/08/05 16:47:25 - mmengine - INFO - Epoch(train) [130][300/314] lr: 8.7009e-02 eta: 3:14:13 time: 0.3404 data_time: 0.0420 memory: 9706 grad_norm: 1.2955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3347 loss: 0.3347 2022/08/05 16:47:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:47:28 - mmengine - INFO - Epoch(train) [130][314/314] lr: 8.6952e-02 eta: 3:14:13 time: 0.2880 data_time: 0.0404 memory: 9706 grad_norm: 1.3161 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3986 loss: 0.3986 2022/08/05 16:47:28 - mmengine - INFO - Saving checkpoint at 130 epochs 2022/08/05 16:47:41 - mmengine - INFO - Epoch(val) [130][20/129] eta: 0:00:52 time: 0.4849 data_time: 0.3088 memory: 1867 2022/08/05 16:47:47 - mmengine - INFO - Epoch(val) [130][40/129] eta: 0:00:27 time: 0.3135 data_time: 0.1361 memory: 1867 2022/08/05 16:47:55 - mmengine - INFO - Epoch(val) [130][60/129] eta: 0:00:25 time: 0.3703 data_time: 0.1841 memory: 1867 2022/08/05 16:48:01 - mmengine - INFO - Epoch(val) [130][80/129] eta: 0:00:14 time: 0.3039 data_time: 0.1235 memory: 1867 2022/08/05 16:48:07 - mmengine - INFO - Epoch(val) [130][100/129] eta: 0:00:09 time: 0.3364 data_time: 0.1540 memory: 1867 2022/08/05 16:48:13 - mmengine - INFO - Epoch(val) [130][120/129] eta: 0:00:02 time: 0.2770 data_time: 0.1110 memory: 1867 2022/08/05 16:48:15 - mmengine - INFO - Epoch(val) [130][129/129] acc/top1: 0.8443 acc/top5: 0.9850 acc/mean1: 0.8442 2022/08/05 16:48:15 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_121.pth is removed 2022/08/05 16:48:18 - mmengine - INFO - The best checkpoint with 0.8443 acc/top1 at 131 epoch is saved to best_acc/top1_epoch_131.pth. 2022/08/05 16:48:27 - mmengine - INFO - Epoch(train) [131][20/314] lr: 8.6869e-02 eta: 3:14:00 time: 0.4770 data_time: 0.2014 memory: 9706 grad_norm: 1.1864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2686 loss: 0.2686 2022/08/05 16:48:34 - mmengine - INFO - Epoch(train) [131][40/314] lr: 8.6786e-02 eta: 3:13:53 time: 0.3393 data_time: 0.0390 memory: 9706 grad_norm: 1.1302 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2708 loss: 0.2708 2022/08/05 16:48:41 - mmengine - INFO - Epoch(train) [131][60/314] lr: 8.6704e-02 eta: 3:13:46 time: 0.3435 data_time: 0.0399 memory: 9706 grad_norm: 1.1563 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2425 loss: 0.2425 2022/08/05 16:48:48 - mmengine - INFO - Epoch(train) [131][80/314] lr: 8.6621e-02 eta: 3:13:40 time: 0.3497 data_time: 0.0415 memory: 9706 grad_norm: 1.1813 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3170 loss: 0.3170 2022/08/05 16:48:55 - mmengine - INFO - Epoch(train) [131][100/314] lr: 8.6538e-02 eta: 3:13:33 time: 0.3440 data_time: 0.0424 memory: 9706 grad_norm: 1.1452 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3086 loss: 0.3086 2022/08/05 16:49:02 - mmengine - INFO - Epoch(train) [131][120/314] lr: 8.6456e-02 eta: 3:13:26 time: 0.3379 data_time: 0.0451 memory: 9706 grad_norm: 1.1153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.4202 loss: 0.4202 2022/08/05 16:49:08 - mmengine - INFO - Epoch(train) [131][140/314] lr: 8.6373e-02 eta: 3:13:20 time: 0.3463 data_time: 0.0393 memory: 9706 grad_norm: 1.2291 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3486 loss: 0.3486 2022/08/05 16:49:15 - mmengine - INFO - Epoch(train) [131][160/314] lr: 8.6291e-02 eta: 3:13:13 time: 0.3406 data_time: 0.0431 memory: 9706 grad_norm: 1.2276 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3071 loss: 0.3071 2022/08/05 16:49:22 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:49:22 - mmengine - INFO - Epoch(train) [131][180/314] lr: 8.6208e-02 eta: 3:13:07 time: 0.3457 data_time: 0.0452 memory: 9706 grad_norm: 1.2373 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2597 loss: 0.2597 2022/08/05 16:49:29 - mmengine - INFO - Epoch(train) [131][200/314] lr: 8.6125e-02 eta: 3:13:00 time: 0.3470 data_time: 0.0527 memory: 9706 grad_norm: 1.1578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3313 loss: 0.3313 2022/08/05 16:49:36 - mmengine - INFO - Epoch(train) [131][220/314] lr: 8.6043e-02 eta: 3:12:53 time: 0.3395 data_time: 0.0535 memory: 9706 grad_norm: 1.2305 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2980 loss: 0.2980 2022/08/05 16:49:43 - mmengine - INFO - Epoch(train) [131][240/314] lr: 8.5960e-02 eta: 3:12:47 time: 0.3547 data_time: 0.0449 memory: 9706 grad_norm: 1.1436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2556 loss: 0.2556 2022/08/05 16:49:50 - mmengine - INFO - Epoch(train) [131][260/314] lr: 8.5878e-02 eta: 3:12:40 time: 0.3433 data_time: 0.0456 memory: 9706 grad_norm: 1.2018 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3441 loss: 0.3441 2022/08/05 16:49:57 - mmengine - INFO - Epoch(train) [131][280/314] lr: 8.5795e-02 eta: 3:12:34 time: 0.3435 data_time: 0.0413 memory: 9706 grad_norm: 1.2368 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3813 loss: 0.3813 2022/08/05 16:50:04 - mmengine - INFO - Epoch(train) [131][300/314] lr: 8.5713e-02 eta: 3:12:27 time: 0.3378 data_time: 0.0491 memory: 9706 grad_norm: 1.2671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2995 loss: 0.2995 2022/08/05 16:50:07 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:50:07 - mmengine - INFO - Epoch(train) [131][314/314] lr: 8.5655e-02 eta: 3:12:27 time: 0.2889 data_time: 0.0371 memory: 9706 grad_norm: 1.3032 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 0.3589 loss: 0.3589 2022/08/05 16:50:07 - mmengine - INFO - Saving checkpoint at 131 epochs 2022/08/05 16:50:19 - mmengine - INFO - Epoch(train) [132][20/314] lr: 8.5572e-02 eta: 3:12:14 time: 0.4644 data_time: 0.1878 memory: 9706 grad_norm: 1.3248 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3538 loss: 0.3538 2022/08/05 16:50:26 - mmengine - INFO - Epoch(train) [132][40/314] lr: 8.5490e-02 eta: 3:12:07 time: 0.3399 data_time: 0.0401 memory: 9706 grad_norm: 1.2426 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3366 loss: 0.3366 2022/08/05 16:50:33 - mmengine - INFO - Epoch(train) [132][60/314] lr: 8.5407e-02 eta: 3:12:00 time: 0.3459 data_time: 0.0442 memory: 9706 grad_norm: 1.2122 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3571 loss: 0.3571 2022/08/05 16:50:40 - mmengine - INFO - Epoch(train) [132][80/314] lr: 8.5325e-02 eta: 3:11:54 time: 0.3473 data_time: 0.0501 memory: 9706 grad_norm: 1.0906 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2738 loss: 0.2738 2022/08/05 16:50:47 - mmengine - INFO - Epoch(train) [132][100/314] lr: 8.5242e-02 eta: 3:11:47 time: 0.3525 data_time: 0.0467 memory: 9706 grad_norm: 1.1463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2864 loss: 0.2864 2022/08/05 16:50:54 - mmengine - INFO - Epoch(train) [132][120/314] lr: 8.5160e-02 eta: 3:11:41 time: 0.3448 data_time: 0.0470 memory: 9706 grad_norm: 1.1224 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3034 loss: 0.3034 2022/08/05 16:51:01 - mmengine - INFO - Epoch(train) [132][140/314] lr: 8.5078e-02 eta: 3:11:34 time: 0.3432 data_time: 0.0500 memory: 9706 grad_norm: 1.1776 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2252 loss: 0.2252 2022/08/05 16:51:07 - mmengine - INFO - Epoch(train) [132][160/314] lr: 8.4995e-02 eta: 3:11:27 time: 0.3432 data_time: 0.0424 memory: 9706 grad_norm: 1.1996 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3887 loss: 0.3887 2022/08/05 16:51:14 - mmengine - INFO - Epoch(train) [132][180/314] lr: 8.4913e-02 eta: 3:11:21 time: 0.3422 data_time: 0.0490 memory: 9706 grad_norm: 1.2265 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3366 loss: 0.3366 2022/08/05 16:51:22 - mmengine - INFO - Epoch(train) [132][200/314] lr: 8.4830e-02 eta: 3:11:14 time: 0.3609 data_time: 0.0494 memory: 9706 grad_norm: 1.2963 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3002 loss: 0.3002 2022/08/05 16:51:28 - mmengine - INFO - Epoch(train) [132][220/314] lr: 8.4748e-02 eta: 3:11:08 time: 0.3388 data_time: 0.0405 memory: 9706 grad_norm: 1.2220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3147 loss: 0.3147 2022/08/05 16:51:35 - mmengine - INFO - Epoch(train) [132][240/314] lr: 8.4665e-02 eta: 3:11:01 time: 0.3579 data_time: 0.0430 memory: 9706 grad_norm: 1.1808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2526 loss: 0.2526 2022/08/05 16:51:42 - mmengine - INFO - Epoch(train) [132][260/314] lr: 8.4583e-02 eta: 3:10:54 time: 0.3342 data_time: 0.0439 memory: 9706 grad_norm: 1.1716 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2894 loss: 0.2894 2022/08/05 16:51:49 - mmengine - INFO - Epoch(train) [132][280/314] lr: 8.4501e-02 eta: 3:10:48 time: 0.3551 data_time: 0.0503 memory: 9706 grad_norm: 1.1400 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2753 loss: 0.2753 2022/08/05 16:51:56 - mmengine - INFO - Epoch(train) [132][300/314] lr: 8.4418e-02 eta: 3:10:41 time: 0.3374 data_time: 0.0426 memory: 9706 grad_norm: 1.1889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3237 loss: 0.3237 2022/08/05 16:52:00 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:52:00 - mmengine - INFO - Epoch(train) [132][314/314] lr: 8.4361e-02 eta: 3:10:41 time: 0.2935 data_time: 0.0396 memory: 9706 grad_norm: 1.2976 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.2921 loss: 0.2921 2022/08/05 16:52:00 - mmengine - INFO - Saving checkpoint at 132 epochs 2022/08/05 16:52:12 - mmengine - INFO - Epoch(train) [133][20/314] lr: 8.4278e-02 eta: 3:10:28 time: 0.4648 data_time: 0.1861 memory: 9706 grad_norm: 1.3083 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3471 loss: 0.3471 2022/08/05 16:52:19 - mmengine - INFO - Epoch(train) [133][40/314] lr: 8.4196e-02 eta: 3:10:21 time: 0.3394 data_time: 0.0441 memory: 9706 grad_norm: 1.1232 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2393 loss: 0.2393 2022/08/05 16:52:26 - mmengine - INFO - Epoch(train) [133][60/314] lr: 8.4114e-02 eta: 3:10:15 time: 0.3541 data_time: 0.0434 memory: 9706 grad_norm: 1.2311 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3790 loss: 0.3790 2022/08/05 16:52:33 - mmengine - INFO - Epoch(train) [133][80/314] lr: 8.4031e-02 eta: 3:10:08 time: 0.3424 data_time: 0.0417 memory: 9706 grad_norm: 1.2411 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2726 loss: 0.2726 2022/08/05 16:52:40 - mmengine - INFO - Epoch(train) [133][100/314] lr: 8.3949e-02 eta: 3:10:02 time: 0.3502 data_time: 0.0451 memory: 9706 grad_norm: 1.1733 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3082 loss: 0.3082 2022/08/05 16:52:46 - mmengine - INFO - Epoch(train) [133][120/314] lr: 8.3867e-02 eta: 3:09:55 time: 0.3347 data_time: 0.0453 memory: 9706 grad_norm: 1.2337 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3370 loss: 0.3370 2022/08/05 16:52:53 - mmengine - INFO - Epoch(train) [133][140/314] lr: 8.3784e-02 eta: 3:09:48 time: 0.3424 data_time: 0.0411 memory: 9706 grad_norm: 1.3217 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3126 loss: 0.3126 2022/08/05 16:53:00 - mmengine - INFO - Epoch(train) [133][160/314] lr: 8.3702e-02 eta: 3:09:41 time: 0.3444 data_time: 0.0545 memory: 9706 grad_norm: 1.2149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3111 loss: 0.3111 2022/08/05 16:53:07 - mmengine - INFO - Epoch(train) [133][180/314] lr: 8.3620e-02 eta: 3:09:35 time: 0.3360 data_time: 0.0413 memory: 9706 grad_norm: 1.2717 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2889 loss: 0.2889 2022/08/05 16:53:14 - mmengine - INFO - Epoch(train) [133][200/314] lr: 8.3538e-02 eta: 3:09:28 time: 0.3457 data_time: 0.0412 memory: 9706 grad_norm: 1.1629 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2708 loss: 0.2708 2022/08/05 16:53:21 - mmengine - INFO - Epoch(train) [133][220/314] lr: 8.3455e-02 eta: 3:09:22 time: 0.3519 data_time: 0.0442 memory: 9706 grad_norm: 1.1601 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3068 loss: 0.3068 2022/08/05 16:53:28 - mmengine - INFO - Epoch(train) [133][240/314] lr: 8.3373e-02 eta: 3:09:15 time: 0.3365 data_time: 0.0521 memory: 9706 grad_norm: 1.1661 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3236 loss: 0.3236 2022/08/05 16:53:34 - mmengine - INFO - Epoch(train) [133][260/314] lr: 8.3291e-02 eta: 3:09:08 time: 0.3429 data_time: 0.0505 memory: 9706 grad_norm: 1.2118 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.3248 loss: 0.3248 2022/08/05 16:53:42 - mmengine - INFO - Epoch(train) [133][280/314] lr: 8.3209e-02 eta: 3:09:02 time: 0.3562 data_time: 0.0419 memory: 9706 grad_norm: 1.2441 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.4460 loss: 0.4460 2022/08/05 16:53:48 - mmengine - INFO - Epoch(train) [133][300/314] lr: 8.3127e-02 eta: 3:08:55 time: 0.3363 data_time: 0.0439 memory: 9706 grad_norm: 1.2219 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3105 loss: 0.3105 2022/08/05 16:53:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:53:52 - mmengine - INFO - Epoch(train) [133][314/314] lr: 8.3069e-02 eta: 3:08:55 time: 0.2978 data_time: 0.0380 memory: 9706 grad_norm: 1.2981 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3143 loss: 0.3143 2022/08/05 16:53:52 - mmengine - INFO - Saving checkpoint at 133 epochs 2022/08/05 16:54:04 - mmengine - INFO - Epoch(train) [134][20/314] lr: 8.2987e-02 eta: 3:08:42 time: 0.4593 data_time: 0.1737 memory: 9706 grad_norm: 1.2385 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2862 loss: 0.2862 2022/08/05 16:54:11 - mmengine - INFO - Epoch(train) [134][40/314] lr: 8.2905e-02 eta: 3:08:36 time: 0.3722 data_time: 0.0528 memory: 9706 grad_norm: 1.1984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3756 loss: 0.3756 2022/08/05 16:54:18 - mmengine - INFO - Epoch(train) [134][60/314] lr: 8.2823e-02 eta: 3:08:29 time: 0.3445 data_time: 0.0526 memory: 9706 grad_norm: 1.1760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2804 loss: 0.2804 2022/08/05 16:54:25 - mmengine - INFO - Epoch(train) [134][80/314] lr: 8.2741e-02 eta: 3:08:22 time: 0.3378 data_time: 0.0446 memory: 9706 grad_norm: 1.1361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2927 loss: 0.2927 2022/08/05 16:54:32 - mmengine - INFO - Epoch(train) [134][100/314] lr: 8.2658e-02 eta: 3:08:16 time: 0.3593 data_time: 0.0402 memory: 9706 grad_norm: 1.1407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3532 loss: 0.3532 2022/08/05 16:54:39 - mmengine - INFO - Epoch(train) [134][120/314] lr: 8.2576e-02 eta: 3:08:09 time: 0.3391 data_time: 0.0433 memory: 9706 grad_norm: 1.1759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2582 loss: 0.2582 2022/08/05 16:54:46 - mmengine - INFO - Epoch(train) [134][140/314] lr: 8.2494e-02 eta: 3:08:03 time: 0.3528 data_time: 0.0394 memory: 9706 grad_norm: 1.1584 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2381 loss: 0.2381 2022/08/05 16:54:53 - mmengine - INFO - Epoch(train) [134][160/314] lr: 8.2412e-02 eta: 3:07:56 time: 0.3435 data_time: 0.0427 memory: 9706 grad_norm: 1.1148 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2898 loss: 0.2898 2022/08/05 16:55:00 - mmengine - INFO - Epoch(train) [134][180/314] lr: 8.2330e-02 eta: 3:07:49 time: 0.3408 data_time: 0.0405 memory: 9706 grad_norm: 1.2049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2703 loss: 0.2703 2022/08/05 16:55:07 - mmengine - INFO - Epoch(train) [134][200/314] lr: 8.2248e-02 eta: 3:07:43 time: 0.3510 data_time: 0.0437 memory: 9706 grad_norm: 1.2448 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3056 loss: 0.3056 2022/08/05 16:55:14 - mmengine - INFO - Epoch(train) [134][220/314] lr: 8.2166e-02 eta: 3:07:36 time: 0.3415 data_time: 0.0450 memory: 9706 grad_norm: 1.2980 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3602 loss: 0.3602 2022/08/05 16:55:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:55:20 - mmengine - INFO - Epoch(train) [134][240/314] lr: 8.2084e-02 eta: 3:07:29 time: 0.3422 data_time: 0.0414 memory: 9706 grad_norm: 1.1742 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2486 loss: 0.2486 2022/08/05 16:55:27 - mmengine - INFO - Epoch(train) [134][260/314] lr: 8.2002e-02 eta: 3:07:23 time: 0.3405 data_time: 0.0415 memory: 9706 grad_norm: 1.2861 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3758 loss: 0.3758 2022/08/05 16:55:34 - mmengine - INFO - Epoch(train) [134][280/314] lr: 8.1920e-02 eta: 3:07:16 time: 0.3478 data_time: 0.0437 memory: 9706 grad_norm: 1.1950 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2290 loss: 0.2290 2022/08/05 16:55:41 - mmengine - INFO - Epoch(train) [134][300/314] lr: 8.1838e-02 eta: 3:07:09 time: 0.3407 data_time: 0.0400 memory: 9706 grad_norm: 1.2169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3508 loss: 0.3508 2022/08/05 16:55:45 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:55:45 - mmengine - INFO - Epoch(train) [134][314/314] lr: 8.1781e-02 eta: 3:07:09 time: 0.2912 data_time: 0.0366 memory: 9706 grad_norm: 1.2789 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3090 loss: 0.3090 2022/08/05 16:55:45 - mmengine - INFO - Saving checkpoint at 134 epochs 2022/08/05 16:55:57 - mmengine - INFO - Epoch(train) [135][20/314] lr: 8.1699e-02 eta: 3:06:56 time: 0.4669 data_time: 0.1844 memory: 9706 grad_norm: 1.1680 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2682 loss: 0.2682 2022/08/05 16:56:04 - mmengine - INFO - Epoch(train) [135][40/314] lr: 8.1617e-02 eta: 3:06:50 time: 0.3507 data_time: 0.0473 memory: 9706 grad_norm: 1.1950 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2836 loss: 0.2836 2022/08/05 16:56:11 - mmengine - INFO - Epoch(train) [135][60/314] lr: 8.1535e-02 eta: 3:06:43 time: 0.3415 data_time: 0.0366 memory: 9706 grad_norm: 1.0993 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2883 loss: 0.2883 2022/08/05 16:56:17 - mmengine - INFO - Epoch(train) [135][80/314] lr: 8.1453e-02 eta: 3:06:36 time: 0.3445 data_time: 0.0469 memory: 9706 grad_norm: 1.1624 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2651 loss: 0.2651 2022/08/05 16:56:24 - mmengine - INFO - Epoch(train) [135][100/314] lr: 8.1371e-02 eta: 3:06:30 time: 0.3474 data_time: 0.0389 memory: 9706 grad_norm: 1.0537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2123 loss: 0.2123 2022/08/05 16:56:31 - mmengine - INFO - Epoch(train) [135][120/314] lr: 8.1289e-02 eta: 3:06:23 time: 0.3413 data_time: 0.0424 memory: 9706 grad_norm: 1.1802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2431 loss: 0.2431 2022/08/05 16:56:38 - mmengine - INFO - Epoch(train) [135][140/314] lr: 8.1207e-02 eta: 3:06:16 time: 0.3395 data_time: 0.0460 memory: 9706 grad_norm: 1.2337 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2576 loss: 0.2576 2022/08/05 16:56:45 - mmengine - INFO - Epoch(train) [135][160/314] lr: 8.1125e-02 eta: 3:06:10 time: 0.3411 data_time: 0.0461 memory: 9706 grad_norm: 1.2320 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2755 loss: 0.2755 2022/08/05 16:56:52 - mmengine - INFO - Epoch(train) [135][180/314] lr: 8.1043e-02 eta: 3:06:03 time: 0.3500 data_time: 0.0415 memory: 9706 grad_norm: 1.1607 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3194 loss: 0.3194 2022/08/05 16:56:59 - mmengine - INFO - Epoch(train) [135][200/314] lr: 8.0961e-02 eta: 3:05:57 time: 0.3414 data_time: 0.0513 memory: 9706 grad_norm: 1.1705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2996 loss: 0.2996 2022/08/05 16:57:05 - mmengine - INFO - Epoch(train) [135][220/314] lr: 8.0880e-02 eta: 3:05:50 time: 0.3392 data_time: 0.0484 memory: 9706 grad_norm: 1.2200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2763 loss: 0.2763 2022/08/05 16:57:12 - mmengine - INFO - Epoch(train) [135][240/314] lr: 8.0798e-02 eta: 3:05:43 time: 0.3446 data_time: 0.0446 memory: 9706 grad_norm: 1.2334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2685 loss: 0.2685 2022/08/05 16:57:20 - mmengine - INFO - Epoch(train) [135][260/314] lr: 8.0716e-02 eta: 3:05:37 time: 0.3702 data_time: 0.0418 memory: 9706 grad_norm: 1.1994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2914 loss: 0.2914 2022/08/05 16:57:26 - mmengine - INFO - Epoch(train) [135][280/314] lr: 8.0634e-02 eta: 3:05:30 time: 0.3352 data_time: 0.0397 memory: 9706 grad_norm: 1.2884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3459 loss: 0.3459 2022/08/05 16:57:33 - mmengine - INFO - Epoch(train) [135][300/314] lr: 8.0552e-02 eta: 3:05:23 time: 0.3401 data_time: 0.0433 memory: 9706 grad_norm: 1.2317 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3349 loss: 0.3349 2022/08/05 16:57:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:57:37 - mmengine - INFO - Epoch(train) [135][314/314] lr: 8.0495e-02 eta: 3:05:23 time: 0.2904 data_time: 0.0346 memory: 9706 grad_norm: 1.2748 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2815 loss: 0.2815 2022/08/05 16:57:37 - mmengine - INFO - Saving checkpoint at 135 epochs 2022/08/05 16:57:49 - mmengine - INFO - Epoch(train) [136][20/314] lr: 8.0413e-02 eta: 3:05:10 time: 0.4548 data_time: 0.1624 memory: 9706 grad_norm: 1.2271 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2691 loss: 0.2691 2022/08/05 16:57:56 - mmengine - INFO - Epoch(train) [136][40/314] lr: 8.0332e-02 eta: 3:05:04 time: 0.3523 data_time: 0.0513 memory: 9706 grad_norm: 1.2349 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3071 loss: 0.3071 2022/08/05 16:58:03 - mmengine - INFO - Epoch(train) [136][60/314] lr: 8.0250e-02 eta: 3:04:57 time: 0.3370 data_time: 0.0410 memory: 9706 grad_norm: 1.2071 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3240 loss: 0.3240 2022/08/05 16:58:10 - mmengine - INFO - Epoch(train) [136][80/314] lr: 8.0168e-02 eta: 3:04:50 time: 0.3568 data_time: 0.0423 memory: 9706 grad_norm: 1.2358 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2750 loss: 0.2750 2022/08/05 16:58:16 - mmengine - INFO - Epoch(train) [136][100/314] lr: 8.0086e-02 eta: 3:04:44 time: 0.3339 data_time: 0.0418 memory: 9706 grad_norm: 1.1853 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2846 loss: 0.2846 2022/08/05 16:58:23 - mmengine - INFO - Epoch(train) [136][120/314] lr: 8.0005e-02 eta: 3:04:37 time: 0.3452 data_time: 0.0474 memory: 9706 grad_norm: 1.2178 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3282 loss: 0.3282 2022/08/05 16:58:30 - mmengine - INFO - Epoch(train) [136][140/314] lr: 7.9923e-02 eta: 3:04:30 time: 0.3466 data_time: 0.0426 memory: 9706 grad_norm: 1.1904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3212 loss: 0.3212 2022/08/05 16:58:37 - mmengine - INFO - Epoch(train) [136][160/314] lr: 7.9841e-02 eta: 3:04:24 time: 0.3447 data_time: 0.0527 memory: 9706 grad_norm: 1.3158 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3515 loss: 0.3515 2022/08/05 16:58:44 - mmengine - INFO - Epoch(train) [136][180/314] lr: 7.9760e-02 eta: 3:04:17 time: 0.3444 data_time: 0.0445 memory: 9706 grad_norm: 1.2049 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3037 loss: 0.3037 2022/08/05 16:58:51 - mmengine - INFO - Epoch(train) [136][200/314] lr: 7.9678e-02 eta: 3:04:11 time: 0.3506 data_time: 0.0476 memory: 9706 grad_norm: 1.1863 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3235 loss: 0.3235 2022/08/05 16:58:58 - mmengine - INFO - Epoch(train) [136][220/314] lr: 7.9596e-02 eta: 3:04:04 time: 0.3415 data_time: 0.0408 memory: 9706 grad_norm: 1.2009 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3661 loss: 0.3661 2022/08/05 16:59:05 - mmengine - INFO - Epoch(train) [136][240/314] lr: 7.9515e-02 eta: 3:03:57 time: 0.3358 data_time: 0.0430 memory: 9706 grad_norm: 1.1921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2504 loss: 0.2504 2022/08/05 16:59:12 - mmengine - INFO - Epoch(train) [136][260/314] lr: 7.9433e-02 eta: 3:03:51 time: 0.3525 data_time: 0.0456 memory: 9706 grad_norm: 1.1887 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3421 loss: 0.3421 2022/08/05 16:59:19 - mmengine - INFO - Epoch(train) [136][280/314] lr: 7.9352e-02 eta: 3:03:44 time: 0.3403 data_time: 0.0459 memory: 9706 grad_norm: 1.2125 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.3334 loss: 0.3334 2022/08/05 16:59:25 - mmengine - INFO - Epoch(train) [136][300/314] lr: 7.9270e-02 eta: 3:03:37 time: 0.3379 data_time: 0.0404 memory: 9706 grad_norm: 1.2195 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2721 loss: 0.2721 2022/08/05 16:59:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 16:59:29 - mmengine - INFO - Epoch(train) [136][314/314] lr: 7.9213e-02 eta: 3:03:37 time: 0.2884 data_time: 0.0342 memory: 9706 grad_norm: 1.3431 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2818 loss: 0.2818 2022/08/05 16:59:29 - mmengine - INFO - Saving checkpoint at 136 epochs 2022/08/05 16:59:41 - mmengine - INFO - Epoch(train) [137][20/314] lr: 7.9131e-02 eta: 3:03:24 time: 0.4642 data_time: 0.1895 memory: 9706 grad_norm: 1.2283 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2751 loss: 0.2751 2022/08/05 16:59:48 - mmengine - INFO - Epoch(train) [137][40/314] lr: 7.9050e-02 eta: 3:03:17 time: 0.3395 data_time: 0.0415 memory: 9706 grad_norm: 1.2129 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2936 loss: 0.2936 2022/08/05 16:59:55 - mmengine - INFO - Epoch(train) [137][60/314] lr: 7.8968e-02 eta: 3:03:11 time: 0.3509 data_time: 0.0406 memory: 9706 grad_norm: 1.1937 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3277 loss: 0.3277 2022/08/05 17:00:02 - mmengine - INFO - Epoch(train) [137][80/314] lr: 7.8887e-02 eta: 3:03:04 time: 0.3425 data_time: 0.0450 memory: 9706 grad_norm: 1.1810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2536 loss: 0.2536 2022/08/05 17:00:09 - mmengine - INFO - Epoch(train) [137][100/314] lr: 7.8805e-02 eta: 3:02:58 time: 0.3447 data_time: 0.0447 memory: 9706 grad_norm: 1.3037 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3547 loss: 0.3547 2022/08/05 17:00:16 - mmengine - INFO - Epoch(train) [137][120/314] lr: 7.8724e-02 eta: 3:02:51 time: 0.3446 data_time: 0.0454 memory: 9706 grad_norm: 1.1686 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2949 loss: 0.2949 2022/08/05 17:00:23 - mmengine - INFO - Epoch(train) [137][140/314] lr: 7.8642e-02 eta: 3:02:45 time: 0.3602 data_time: 0.0393 memory: 9706 grad_norm: 1.1228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2443 loss: 0.2443 2022/08/05 17:00:30 - mmengine - INFO - Epoch(train) [137][160/314] lr: 7.8561e-02 eta: 3:02:38 time: 0.3444 data_time: 0.0443 memory: 9706 grad_norm: 1.1605 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2692 loss: 0.2692 2022/08/05 17:00:37 - mmengine - INFO - Epoch(train) [137][180/314] lr: 7.8480e-02 eta: 3:02:31 time: 0.3450 data_time: 0.0427 memory: 9706 grad_norm: 1.2314 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3323 loss: 0.3323 2022/08/05 17:00:44 - mmengine - INFO - Epoch(train) [137][200/314] lr: 7.8398e-02 eta: 3:02:25 time: 0.3439 data_time: 0.0462 memory: 9706 grad_norm: 1.2386 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3066 loss: 0.3066 2022/08/05 17:00:51 - mmengine - INFO - Epoch(train) [137][220/314] lr: 7.8317e-02 eta: 3:02:18 time: 0.3433 data_time: 0.0419 memory: 9706 grad_norm: 1.2139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2945 loss: 0.2945 2022/08/05 17:00:57 - mmengine - INFO - Epoch(train) [137][240/314] lr: 7.8235e-02 eta: 3:02:11 time: 0.3386 data_time: 0.0453 memory: 9706 grad_norm: 1.1758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2619 loss: 0.2619 2022/08/05 17:01:04 - mmengine - INFO - Epoch(train) [137][260/314] lr: 7.8154e-02 eta: 3:02:05 time: 0.3438 data_time: 0.0443 memory: 9706 grad_norm: 1.1276 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2370 loss: 0.2370 2022/08/05 17:01:11 - mmengine - INFO - Epoch(train) [137][280/314] lr: 7.8073e-02 eta: 3:01:58 time: 0.3539 data_time: 0.0561 memory: 9706 grad_norm: 1.1647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2637 loss: 0.2637 2022/08/05 17:01:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:01:18 - mmengine - INFO - Epoch(train) [137][300/314] lr: 7.7991e-02 eta: 3:01:51 time: 0.3428 data_time: 0.0571 memory: 9706 grad_norm: 1.3263 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3252 loss: 0.3252 2022/08/05 17:01:23 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:01:23 - mmengine - INFO - Epoch(train) [137][314/314] lr: 7.7934e-02 eta: 3:01:51 time: 0.3444 data_time: 0.0434 memory: 9706 grad_norm: 1.3537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3136 loss: 0.3136 2022/08/05 17:01:23 - mmengine - INFO - Saving checkpoint at 137 epochs 2022/08/05 17:01:35 - mmengine - INFO - Epoch(train) [138][20/314] lr: 7.7853e-02 eta: 3:01:38 time: 0.4640 data_time: 0.1751 memory: 9706 grad_norm: 1.3432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3028 loss: 0.3028 2022/08/05 17:01:42 - mmengine - INFO - Epoch(train) [138][40/314] lr: 7.7772e-02 eta: 3:01:32 time: 0.3457 data_time: 0.0461 memory: 9706 grad_norm: 1.2519 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2961 loss: 0.2961 2022/08/05 17:01:49 - mmengine - INFO - Epoch(train) [138][60/314] lr: 7.7690e-02 eta: 3:01:25 time: 0.3336 data_time: 0.0410 memory: 9706 grad_norm: 1.2062 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2776 loss: 0.2776 2022/08/05 17:01:56 - mmengine - INFO - Epoch(train) [138][80/314] lr: 7.7609e-02 eta: 3:01:18 time: 0.3517 data_time: 0.0461 memory: 9706 grad_norm: 1.2262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2716 loss: 0.2716 2022/08/05 17:02:03 - mmengine - INFO - Epoch(train) [138][100/314] lr: 7.7528e-02 eta: 3:01:12 time: 0.3487 data_time: 0.0507 memory: 9706 grad_norm: 1.1646 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2823 loss: 0.2823 2022/08/05 17:02:09 - mmengine - INFO - Epoch(train) [138][120/314] lr: 7.7447e-02 eta: 3:01:05 time: 0.3422 data_time: 0.0478 memory: 9706 grad_norm: 1.1733 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3020 loss: 0.3020 2022/08/05 17:02:16 - mmengine - INFO - Epoch(train) [138][140/314] lr: 7.7365e-02 eta: 3:00:59 time: 0.3507 data_time: 0.0417 memory: 9706 grad_norm: 1.1898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2272 loss: 0.2272 2022/08/05 17:02:23 - mmengine - INFO - Epoch(train) [138][160/314] lr: 7.7284e-02 eta: 3:00:52 time: 0.3418 data_time: 0.0442 memory: 9706 grad_norm: 1.2319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2696 loss: 0.2696 2022/08/05 17:02:30 - mmengine - INFO - Epoch(train) [138][180/314] lr: 7.7203e-02 eta: 3:00:45 time: 0.3453 data_time: 0.0415 memory: 9706 grad_norm: 1.2346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2736 loss: 0.2736 2022/08/05 17:02:37 - mmengine - INFO - Epoch(train) [138][200/314] lr: 7.7122e-02 eta: 3:00:39 time: 0.3516 data_time: 0.0453 memory: 9706 grad_norm: 1.2057 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2932 loss: 0.2932 2022/08/05 17:02:44 - mmengine - INFO - Epoch(train) [138][220/314] lr: 7.7041e-02 eta: 3:00:32 time: 0.3398 data_time: 0.0430 memory: 9706 grad_norm: 1.3770 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3740 loss: 0.3740 2022/08/05 17:02:51 - mmengine - INFO - Epoch(train) [138][240/314] lr: 7.6960e-02 eta: 3:00:26 time: 0.3510 data_time: 0.0577 memory: 9706 grad_norm: 1.2346 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3254 loss: 0.3254 2022/08/05 17:02:58 - mmengine - INFO - Epoch(train) [138][260/314] lr: 7.6878e-02 eta: 3:00:19 time: 0.3408 data_time: 0.0494 memory: 9706 grad_norm: 1.2059 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2386 loss: 0.2386 2022/08/05 17:03:05 - mmengine - INFO - Epoch(train) [138][280/314] lr: 7.6797e-02 eta: 3:00:12 time: 0.3528 data_time: 0.0520 memory: 9706 grad_norm: 1.2170 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.2624 loss: 0.2624 2022/08/05 17:03:12 - mmengine - INFO - Epoch(train) [138][300/314] lr: 7.6716e-02 eta: 3:00:06 time: 0.3394 data_time: 0.0474 memory: 9706 grad_norm: 1.2243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2969 loss: 0.2969 2022/08/05 17:03:16 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:03:16 - mmengine - INFO - Epoch(train) [138][314/314] lr: 7.6660e-02 eta: 3:00:06 time: 0.2893 data_time: 0.0360 memory: 9706 grad_norm: 1.3401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3258 loss: 0.3258 2022/08/05 17:03:16 - mmengine - INFO - Saving checkpoint at 138 epochs 2022/08/05 17:03:27 - mmengine - INFO - Epoch(train) [139][20/314] lr: 7.6578e-02 eta: 2:59:52 time: 0.4527 data_time: 0.1623 memory: 9706 grad_norm: 1.2372 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3337 loss: 0.3337 2022/08/05 17:03:34 - mmengine - INFO - Epoch(train) [139][40/314] lr: 7.6497e-02 eta: 2:59:46 time: 0.3441 data_time: 0.0463 memory: 9706 grad_norm: 1.2658 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3157 loss: 0.3157 2022/08/05 17:03:41 - mmengine - INFO - Epoch(train) [139][60/314] lr: 7.6416e-02 eta: 2:59:39 time: 0.3377 data_time: 0.0422 memory: 9706 grad_norm: 1.2155 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3077 loss: 0.3077 2022/08/05 17:03:48 - mmengine - INFO - Epoch(train) [139][80/314] lr: 7.6335e-02 eta: 2:59:32 time: 0.3464 data_time: 0.0503 memory: 9706 grad_norm: 1.2193 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2491 loss: 0.2491 2022/08/05 17:03:55 - mmengine - INFO - Epoch(train) [139][100/314] lr: 7.6254e-02 eta: 2:59:26 time: 0.3538 data_time: 0.0443 memory: 9706 grad_norm: 1.2389 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2407 loss: 0.2407 2022/08/05 17:04:02 - mmengine - INFO - Epoch(train) [139][120/314] lr: 7.6173e-02 eta: 2:59:19 time: 0.3387 data_time: 0.0513 memory: 9706 grad_norm: 1.2563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3055 loss: 0.3055 2022/08/05 17:04:09 - mmengine - INFO - Epoch(train) [139][140/314] lr: 7.6092e-02 eta: 2:59:13 time: 0.3519 data_time: 0.0406 memory: 9706 grad_norm: 1.1965 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.2944 loss: 0.2944 2022/08/05 17:04:15 - mmengine - INFO - Epoch(train) [139][160/314] lr: 7.6011e-02 eta: 2:59:06 time: 0.3390 data_time: 0.0398 memory: 9706 grad_norm: 1.2867 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3212 loss: 0.3212 2022/08/05 17:04:22 - mmengine - INFO - Epoch(train) [139][180/314] lr: 7.5931e-02 eta: 2:58:59 time: 0.3407 data_time: 0.0456 memory: 9706 grad_norm: 1.2243 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3105 loss: 0.3105 2022/08/05 17:04:29 - mmengine - INFO - Epoch(train) [139][200/314] lr: 7.5850e-02 eta: 2:58:53 time: 0.3548 data_time: 0.0582 memory: 9706 grad_norm: 1.2725 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3274 loss: 0.3274 2022/08/05 17:04:36 - mmengine - INFO - Epoch(train) [139][220/314] lr: 7.5769e-02 eta: 2:58:46 time: 0.3411 data_time: 0.0392 memory: 9706 grad_norm: 1.2676 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2762 loss: 0.2762 2022/08/05 17:04:43 - mmengine - INFO - Epoch(train) [139][240/314] lr: 7.5688e-02 eta: 2:58:39 time: 0.3451 data_time: 0.0434 memory: 9706 grad_norm: 1.1524 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2988 loss: 0.2988 2022/08/05 17:04:50 - mmengine - INFO - Epoch(train) [139][260/314] lr: 7.5607e-02 eta: 2:58:33 time: 0.3403 data_time: 0.0475 memory: 9706 grad_norm: 1.1931 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2842 loss: 0.2842 2022/08/05 17:04:57 - mmengine - INFO - Epoch(train) [139][280/314] lr: 7.5526e-02 eta: 2:58:26 time: 0.3537 data_time: 0.0478 memory: 9706 grad_norm: 1.2652 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2774 loss: 0.2774 2022/08/05 17:05:04 - mmengine - INFO - Epoch(train) [139][300/314] lr: 7.5445e-02 eta: 2:58:19 time: 0.3359 data_time: 0.0445 memory: 9706 grad_norm: 1.1946 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2588 loss: 0.2588 2022/08/05 17:05:08 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:05:08 - mmengine - INFO - Epoch(train) [139][314/314] lr: 7.5389e-02 eta: 2:58:19 time: 0.2946 data_time: 0.0361 memory: 9706 grad_norm: 1.2641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2706 loss: 0.2706 2022/08/05 17:05:08 - mmengine - INFO - Saving checkpoint at 139 epochs 2022/08/05 17:05:20 - mmengine - INFO - Epoch(train) [140][20/314] lr: 7.5308e-02 eta: 2:58:06 time: 0.4533 data_time: 0.1775 memory: 9706 grad_norm: 1.2527 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3211 loss: 0.3211 2022/08/05 17:05:27 - mmengine - INFO - Epoch(train) [140][40/314] lr: 7.5227e-02 eta: 2:58:00 time: 0.3441 data_time: 0.0404 memory: 9706 grad_norm: 1.2851 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3419 loss: 0.3419 2022/08/05 17:05:34 - mmengine - INFO - Epoch(train) [140][60/314] lr: 7.5146e-02 eta: 2:57:53 time: 0.3479 data_time: 0.0494 memory: 9706 grad_norm: 1.1856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2476 loss: 0.2476 2022/08/05 17:05:41 - mmengine - INFO - Epoch(train) [140][80/314] lr: 7.5066e-02 eta: 2:57:46 time: 0.3518 data_time: 0.0414 memory: 9706 grad_norm: 1.3074 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2822 loss: 0.2822 2022/08/05 17:05:47 - mmengine - INFO - Epoch(train) [140][100/314] lr: 7.4985e-02 eta: 2:57:40 time: 0.3333 data_time: 0.0412 memory: 9706 grad_norm: 1.2229 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2903 loss: 0.2903 2022/08/05 17:05:54 - mmengine - INFO - Epoch(train) [140][120/314] lr: 7.4904e-02 eta: 2:57:33 time: 0.3554 data_time: 0.0514 memory: 9706 grad_norm: 1.2134 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2394 loss: 0.2394 2022/08/05 17:06:01 - mmengine - INFO - Epoch(train) [140][140/314] lr: 7.4823e-02 eta: 2:57:26 time: 0.3382 data_time: 0.0429 memory: 9706 grad_norm: 1.2004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2865 loss: 0.2865 2022/08/05 17:06:08 - mmengine - INFO - Epoch(train) [140][160/314] lr: 7.4743e-02 eta: 2:57:20 time: 0.3457 data_time: 0.0423 memory: 9706 grad_norm: 1.2951 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2842 loss: 0.2842 2022/08/05 17:06:15 - mmengine - INFO - Epoch(train) [140][180/314] lr: 7.4662e-02 eta: 2:57:13 time: 0.3364 data_time: 0.0387 memory: 9706 grad_norm: 1.2513 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2875 loss: 0.2875 2022/08/05 17:06:22 - mmengine - INFO - Epoch(train) [140][200/314] lr: 7.4581e-02 eta: 2:57:07 time: 0.3471 data_time: 0.0415 memory: 9706 grad_norm: 1.2764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.3374 loss: 0.3374 2022/08/05 17:06:29 - mmengine - INFO - Epoch(train) [140][220/314] lr: 7.4501e-02 eta: 2:57:00 time: 0.3475 data_time: 0.0422 memory: 9706 grad_norm: 1.2370 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3151 loss: 0.3151 2022/08/05 17:06:36 - mmengine - INFO - Epoch(train) [140][240/314] lr: 7.4420e-02 eta: 2:56:53 time: 0.3496 data_time: 0.0449 memory: 9706 grad_norm: 1.1404 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.2593 loss: 0.2593 2022/08/05 17:06:43 - mmengine - INFO - Epoch(train) [140][260/314] lr: 7.4340e-02 eta: 2:56:47 time: 0.3578 data_time: 0.0407 memory: 9706 grad_norm: 1.1885 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.2700 loss: 0.2700 2022/08/05 17:06:50 - mmengine - INFO - Epoch(train) [140][280/314] lr: 7.4259e-02 eta: 2:56:40 time: 0.3446 data_time: 0.0441 memory: 9706 grad_norm: 1.2438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3289 loss: 0.3289 2022/08/05 17:06:57 - mmengine - INFO - Epoch(train) [140][300/314] lr: 7.4179e-02 eta: 2:56:34 time: 0.3421 data_time: 0.0426 memory: 9706 grad_norm: 1.2361 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1875 loss: 0.1875 2022/08/05 17:07:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:07:01 - mmengine - INFO - Epoch(train) [140][314/314] lr: 7.4122e-02 eta: 2:56:34 time: 0.2878 data_time: 0.0368 memory: 9706 grad_norm: 1.2198 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2899 loss: 0.2899 2022/08/05 17:07:01 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/05 17:07:13 - mmengine - INFO - Epoch(val) [140][20/129] eta: 0:00:53 time: 0.4912 data_time: 0.3155 memory: 1867 2022/08/05 17:07:20 - mmengine - INFO - Epoch(val) [140][40/129] eta: 0:00:29 time: 0.3272 data_time: 0.1508 memory: 1867 2022/08/05 17:07:27 - mmengine - INFO - Epoch(val) [140][60/129] eta: 0:00:26 time: 0.3821 data_time: 0.2027 memory: 1867 2022/08/05 17:07:34 - mmengine - INFO - Epoch(val) [140][80/129] eta: 0:00:15 time: 0.3180 data_time: 0.1371 memory: 1867 2022/08/05 17:07:41 - mmengine - INFO - Epoch(val) [140][100/129] eta: 0:00:10 time: 0.3596 data_time: 0.1724 memory: 1867 2022/08/05 17:07:46 - mmengine - INFO - Epoch(val) [140][120/129] eta: 0:00:02 time: 0.2452 data_time: 0.0981 memory: 1867 2022/08/05 17:07:47 - mmengine - INFO - Epoch(val) [140][129/129] acc/top1: 0.8786 acc/top5: 0.9885 acc/mean1: 0.8784 2022/08/05 17:07:48 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_131.pth is removed 2022/08/05 17:07:50 - mmengine - INFO - The best checkpoint with 0.8786 acc/top1 at 141 epoch is saved to best_acc/top1_epoch_141.pth. 2022/08/05 17:07:59 - mmengine - INFO - Epoch(train) [141][20/314] lr: 7.4042e-02 eta: 2:56:21 time: 0.4614 data_time: 0.1809 memory: 9706 grad_norm: 1.1775 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2303 loss: 0.2303 2022/08/05 17:08:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:08:06 - mmengine - INFO - Epoch(train) [141][40/314] lr: 7.3961e-02 eta: 2:56:14 time: 0.3490 data_time: 0.0518 memory: 9706 grad_norm: 1.1831 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2579 loss: 0.2579 2022/08/05 17:08:13 - mmengine - INFO - Epoch(train) [141][60/314] lr: 7.3881e-02 eta: 2:56:07 time: 0.3407 data_time: 0.0391 memory: 9706 grad_norm: 1.2765 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2489 loss: 0.2489 2022/08/05 17:08:20 - mmengine - INFO - Epoch(train) [141][80/314] lr: 7.3800e-02 eta: 2:56:01 time: 0.3375 data_time: 0.0465 memory: 9706 grad_norm: 1.1795 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2589 loss: 0.2589 2022/08/05 17:08:27 - mmengine - INFO - Epoch(train) [141][100/314] lr: 7.3720e-02 eta: 2:55:54 time: 0.3483 data_time: 0.0471 memory: 9706 grad_norm: 1.2582 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2623 loss: 0.2623 2022/08/05 17:08:34 - mmengine - INFO - Epoch(train) [141][120/314] lr: 7.3639e-02 eta: 2:55:47 time: 0.3470 data_time: 0.0442 memory: 9706 grad_norm: 1.2455 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2888 loss: 0.2888 2022/08/05 17:08:41 - mmengine - INFO - Epoch(train) [141][140/314] lr: 7.3559e-02 eta: 2:55:41 time: 0.3619 data_time: 0.0599 memory: 9706 grad_norm: 1.1754 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2852 loss: 0.2852 2022/08/05 17:08:48 - mmengine - INFO - Epoch(train) [141][160/314] lr: 7.3478e-02 eta: 2:55:34 time: 0.3417 data_time: 0.0447 memory: 9706 grad_norm: 1.2497 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2852 loss: 0.2852 2022/08/05 17:08:55 - mmengine - INFO - Epoch(train) [141][180/314] lr: 7.3398e-02 eta: 2:55:28 time: 0.3407 data_time: 0.0476 memory: 9706 grad_norm: 1.1533 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1964 loss: 0.1964 2022/08/05 17:09:02 - mmengine - INFO - Epoch(train) [141][200/314] lr: 7.3318e-02 eta: 2:55:21 time: 0.3562 data_time: 0.0437 memory: 9706 grad_norm: 1.2142 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3060 loss: 0.3060 2022/08/05 17:09:08 - mmengine - INFO - Epoch(train) [141][220/314] lr: 7.3237e-02 eta: 2:55:14 time: 0.3388 data_time: 0.0467 memory: 9706 grad_norm: 1.3173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3354 loss: 0.3354 2022/08/05 17:09:15 - mmengine - INFO - Epoch(train) [141][240/314] lr: 7.3157e-02 eta: 2:55:08 time: 0.3471 data_time: 0.0445 memory: 9706 grad_norm: 1.2864 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.3119 loss: 0.3119 2022/08/05 17:09:22 - mmengine - INFO - Epoch(train) [141][260/314] lr: 7.3077e-02 eta: 2:55:01 time: 0.3488 data_time: 0.0440 memory: 9706 grad_norm: 1.2118 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3055 loss: 0.3055 2022/08/05 17:09:29 - mmengine - INFO - Epoch(train) [141][280/314] lr: 7.2996e-02 eta: 2:54:54 time: 0.3398 data_time: 0.0518 memory: 9706 grad_norm: 1.1997 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2219 loss: 0.2219 2022/08/05 17:09:36 - mmengine - INFO - Epoch(train) [141][300/314] lr: 7.2916e-02 eta: 2:54:48 time: 0.3413 data_time: 0.0430 memory: 9706 grad_norm: 1.2262 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2641 loss: 0.2641 2022/08/05 17:09:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:09:40 - mmengine - INFO - Epoch(train) [141][314/314] lr: 7.2860e-02 eta: 2:54:48 time: 0.2894 data_time: 0.0381 memory: 9706 grad_norm: 1.3106 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.3038 loss: 0.3038 2022/08/05 17:09:40 - mmengine - INFO - Saving checkpoint at 141 epochs 2022/08/05 17:09:52 - mmengine - INFO - Epoch(train) [142][20/314] lr: 7.2780e-02 eta: 2:54:35 time: 0.4520 data_time: 0.1711 memory: 9706 grad_norm: 1.3288 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3443 loss: 0.3443 2022/08/05 17:09:58 - mmengine - INFO - Epoch(train) [142][40/314] lr: 7.2700e-02 eta: 2:54:28 time: 0.3379 data_time: 0.0457 memory: 9706 grad_norm: 1.2271 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2611 loss: 0.2611 2022/08/05 17:10:06 - mmengine - INFO - Epoch(train) [142][60/314] lr: 7.2619e-02 eta: 2:54:21 time: 0.3570 data_time: 0.0430 memory: 9706 grad_norm: 1.2243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2333 loss: 0.2333 2022/08/05 17:10:13 - mmengine - INFO - Epoch(train) [142][80/314] lr: 7.2539e-02 eta: 2:54:15 time: 0.3467 data_time: 0.0444 memory: 9706 grad_norm: 1.2627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2171 loss: 0.2171 2022/08/05 17:10:19 - mmengine - INFO - Epoch(train) [142][100/314] lr: 7.2459e-02 eta: 2:54:08 time: 0.3393 data_time: 0.0406 memory: 9706 grad_norm: 1.3175 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2793 loss: 0.2793 2022/08/05 17:10:27 - mmengine - INFO - Epoch(train) [142][120/314] lr: 7.2379e-02 eta: 2:54:02 time: 0.3632 data_time: 0.0396 memory: 9706 grad_norm: 1.2160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2682 loss: 0.2682 2022/08/05 17:10:34 - mmengine - INFO - Epoch(train) [142][140/314] lr: 7.2299e-02 eta: 2:53:55 time: 0.3535 data_time: 0.0475 memory: 9706 grad_norm: 1.1596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3034 loss: 0.3034 2022/08/05 17:10:40 - mmengine - INFO - Epoch(train) [142][160/314] lr: 7.2219e-02 eta: 2:53:48 time: 0.3410 data_time: 0.0451 memory: 9706 grad_norm: 1.2398 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3321 loss: 0.3321 2022/08/05 17:10:47 - mmengine - INFO - Epoch(train) [142][180/314] lr: 7.2139e-02 eta: 2:53:42 time: 0.3421 data_time: 0.0432 memory: 9706 grad_norm: 1.2197 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2351 loss: 0.2351 2022/08/05 17:10:54 - mmengine - INFO - Epoch(train) [142][200/314] lr: 7.2058e-02 eta: 2:53:35 time: 0.3488 data_time: 0.0433 memory: 9706 grad_norm: 1.3829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2737 loss: 0.2737 2022/08/05 17:11:01 - mmengine - INFO - Epoch(train) [142][220/314] lr: 7.1978e-02 eta: 2:53:29 time: 0.3500 data_time: 0.0506 memory: 9706 grad_norm: 1.2724 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2191 loss: 0.2191 2022/08/05 17:11:08 - mmengine - INFO - Epoch(train) [142][240/314] lr: 7.1898e-02 eta: 2:53:22 time: 0.3425 data_time: 0.0494 memory: 9706 grad_norm: 1.1813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2119 loss: 0.2119 2022/08/05 17:11:15 - mmengine - INFO - Epoch(train) [142][260/314] lr: 7.1818e-02 eta: 2:53:15 time: 0.3428 data_time: 0.0494 memory: 9706 grad_norm: 1.2108 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2574 loss: 0.2574 2022/08/05 17:11:22 - mmengine - INFO - Epoch(train) [142][280/314] lr: 7.1738e-02 eta: 2:53:09 time: 0.3447 data_time: 0.0526 memory: 9706 grad_norm: 1.2691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2519 loss: 0.2519 2022/08/05 17:11:29 - mmengine - INFO - Epoch(train) [142][300/314] lr: 7.1658e-02 eta: 2:53:02 time: 0.3399 data_time: 0.0435 memory: 9706 grad_norm: 1.2581 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2594 loss: 0.2594 2022/08/05 17:11:33 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:11:33 - mmengine - INFO - Epoch(train) [142][314/314] lr: 7.1602e-02 eta: 2:53:02 time: 0.3003 data_time: 0.0390 memory: 9706 grad_norm: 1.3119 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.2887 loss: 0.2887 2022/08/05 17:11:33 - mmengine - INFO - Saving checkpoint at 142 epochs 2022/08/05 17:11:45 - mmengine - INFO - Epoch(train) [143][20/314] lr: 7.1523e-02 eta: 2:52:49 time: 0.4647 data_time: 0.1893 memory: 9706 grad_norm: 1.3171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2409 loss: 0.2409 2022/08/05 17:11:52 - mmengine - INFO - Epoch(train) [143][40/314] lr: 7.1443e-02 eta: 2:52:43 time: 0.3603 data_time: 0.0575 memory: 9706 grad_norm: 1.2731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2507 loss: 0.2507 2022/08/05 17:11:59 - mmengine - INFO - Epoch(train) [143][60/314] lr: 7.1363e-02 eta: 2:52:36 time: 0.3376 data_time: 0.0464 memory: 9706 grad_norm: 1.2708 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2810 loss: 0.2810 2022/08/05 17:12:06 - mmengine - INFO - Epoch(train) [143][80/314] lr: 7.1283e-02 eta: 2:52:29 time: 0.3447 data_time: 0.0432 memory: 9706 grad_norm: 1.2744 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3521 loss: 0.3521 2022/08/05 17:12:13 - mmengine - INFO - Epoch(train) [143][100/314] lr: 7.1203e-02 eta: 2:52:23 time: 0.3509 data_time: 0.0427 memory: 9706 grad_norm: 1.3351 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2906 loss: 0.2906 2022/08/05 17:12:19 - mmengine - INFO - Epoch(train) [143][120/314] lr: 7.1123e-02 eta: 2:52:16 time: 0.3444 data_time: 0.0442 memory: 9706 grad_norm: 1.2129 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2430 loss: 0.2430 2022/08/05 17:12:26 - mmengine - INFO - Epoch(train) [143][140/314] lr: 7.1043e-02 eta: 2:52:09 time: 0.3414 data_time: 0.0447 memory: 9706 grad_norm: 1.3145 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2747 loss: 0.2747 2022/08/05 17:12:33 - mmengine - INFO - Epoch(train) [143][160/314] lr: 7.0964e-02 eta: 2:52:03 time: 0.3469 data_time: 0.0629 memory: 9706 grad_norm: 1.3225 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3144 loss: 0.3144 2022/08/05 17:12:40 - mmengine - INFO - Epoch(train) [143][180/314] lr: 7.0884e-02 eta: 2:51:56 time: 0.3476 data_time: 0.0493 memory: 9706 grad_norm: 1.1810 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3046 loss: 0.3046 2022/08/05 17:12:47 - mmengine - INFO - Epoch(train) [143][200/314] lr: 7.0804e-02 eta: 2:51:49 time: 0.3366 data_time: 0.0430 memory: 9706 grad_norm: 1.1984 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2667 loss: 0.2667 2022/08/05 17:12:54 - mmengine - INFO - Epoch(train) [143][220/314] lr: 7.0724e-02 eta: 2:51:43 time: 0.3569 data_time: 0.0521 memory: 9706 grad_norm: 1.1695 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2920 loss: 0.2920 2022/08/05 17:13:01 - mmengine - INFO - Epoch(train) [143][240/314] lr: 7.0645e-02 eta: 2:51:36 time: 0.3423 data_time: 0.0409 memory: 9706 grad_norm: 1.1882 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2173 loss: 0.2173 2022/08/05 17:13:08 - mmengine - INFO - Epoch(train) [143][260/314] lr: 7.0565e-02 eta: 2:51:30 time: 0.3499 data_time: 0.0449 memory: 9706 grad_norm: 1.2608 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3107 loss: 0.3107 2022/08/05 17:13:15 - mmengine - INFO - Epoch(train) [143][280/314] lr: 7.0485e-02 eta: 2:51:23 time: 0.3425 data_time: 0.0445 memory: 9706 grad_norm: 1.3284 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3295 loss: 0.3295 2022/08/05 17:13:22 - mmengine - INFO - Epoch(train) [143][300/314] lr: 7.0406e-02 eta: 2:51:16 time: 0.3500 data_time: 0.0432 memory: 9706 grad_norm: 1.2921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2991 loss: 0.2991 2022/08/05 17:13:26 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:13:26 - mmengine - INFO - Epoch(train) [143][314/314] lr: 7.0350e-02 eta: 2:51:16 time: 0.2960 data_time: 0.0364 memory: 9706 grad_norm: 1.3522 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2570 loss: 0.2570 2022/08/05 17:13:26 - mmengine - INFO - Saving checkpoint at 143 epochs 2022/08/05 17:13:38 - mmengine - INFO - Epoch(train) [144][20/314] lr: 7.0270e-02 eta: 2:51:04 time: 0.4709 data_time: 0.1923 memory: 9706 grad_norm: 1.3337 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3512 loss: 0.3512 2022/08/05 17:13:45 - mmengine - INFO - Epoch(train) [144][40/314] lr: 7.0191e-02 eta: 2:50:57 time: 0.3430 data_time: 0.0435 memory: 9706 grad_norm: 1.2474 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2862 loss: 0.2862 2022/08/05 17:13:51 - mmengine - INFO - Epoch(train) [144][60/314] lr: 7.0111e-02 eta: 2:50:50 time: 0.3448 data_time: 0.0416 memory: 9706 grad_norm: 1.1993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3304 loss: 0.3304 2022/08/05 17:13:58 - mmengine - INFO - Epoch(train) [144][80/314] lr: 7.0031e-02 eta: 2:50:44 time: 0.3431 data_time: 0.0436 memory: 9706 grad_norm: 1.2157 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2293 loss: 0.2293 2022/08/05 17:14:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:14:05 - mmengine - INFO - Epoch(train) [144][100/314] lr: 6.9952e-02 eta: 2:50:37 time: 0.3483 data_time: 0.0463 memory: 9706 grad_norm: 1.1845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2392 loss: 0.2392 2022/08/05 17:14:12 - mmengine - INFO - Epoch(train) [144][120/314] lr: 6.9872e-02 eta: 2:50:30 time: 0.3436 data_time: 0.0459 memory: 9706 grad_norm: 1.2559 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2029 loss: 0.2029 2022/08/05 17:14:19 - mmengine - INFO - Epoch(train) [144][140/314] lr: 6.9793e-02 eta: 2:50:24 time: 0.3454 data_time: 0.0456 memory: 9706 grad_norm: 1.1546 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2580 loss: 0.2580 2022/08/05 17:14:26 - mmengine - INFO - Epoch(train) [144][160/314] lr: 6.9713e-02 eta: 2:50:17 time: 0.3626 data_time: 0.0481 memory: 9706 grad_norm: 1.2718 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3264 loss: 0.3264 2022/08/05 17:14:33 - mmengine - INFO - Epoch(train) [144][180/314] lr: 6.9634e-02 eta: 2:50:11 time: 0.3396 data_time: 0.0457 memory: 9706 grad_norm: 1.2091 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.2448 loss: 0.2448 2022/08/05 17:14:40 - mmengine - INFO - Epoch(train) [144][200/314] lr: 6.9555e-02 eta: 2:50:04 time: 0.3492 data_time: 0.0440 memory: 9706 grad_norm: 1.2764 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2648 loss: 0.2648 2022/08/05 17:14:47 - mmengine - INFO - Epoch(train) [144][220/314] lr: 6.9475e-02 eta: 2:49:57 time: 0.3387 data_time: 0.0484 memory: 9706 grad_norm: 1.2937 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3330 loss: 0.3330 2022/08/05 17:14:54 - mmengine - INFO - Epoch(train) [144][240/314] lr: 6.9396e-02 eta: 2:49:51 time: 0.3512 data_time: 0.0504 memory: 9706 grad_norm: 1.2770 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2698 loss: 0.2698 2022/08/05 17:15:01 - mmengine - INFO - Epoch(train) [144][260/314] lr: 6.9316e-02 eta: 2:49:44 time: 0.3339 data_time: 0.0512 memory: 9706 grad_norm: 1.2829 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2896 loss: 0.2896 2022/08/05 17:15:08 - mmengine - INFO - Epoch(train) [144][280/314] lr: 6.9237e-02 eta: 2:49:37 time: 0.3537 data_time: 0.0495 memory: 9706 grad_norm: 1.2544 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2668 loss: 0.2668 2022/08/05 17:15:15 - mmengine - INFO - Epoch(train) [144][300/314] lr: 6.9158e-02 eta: 2:49:31 time: 0.3412 data_time: 0.0387 memory: 9706 grad_norm: 1.2732 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3109 loss: 0.3109 2022/08/05 17:15:18 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:15:18 - mmengine - INFO - Epoch(train) [144][314/314] lr: 6.9102e-02 eta: 2:49:31 time: 0.2930 data_time: 0.0358 memory: 9706 grad_norm: 1.3687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3255 loss: 0.3255 2022/08/05 17:15:18 - mmengine - INFO - Saving checkpoint at 144 epochs 2022/08/05 17:15:30 - mmengine - INFO - Epoch(train) [145][20/314] lr: 6.9023e-02 eta: 2:49:18 time: 0.4655 data_time: 0.1935 memory: 9706 grad_norm: 1.2793 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3025 loss: 0.3025 2022/08/05 17:15:37 - mmengine - INFO - Epoch(train) [145][40/314] lr: 6.8944e-02 eta: 2:49:11 time: 0.3424 data_time: 0.0396 memory: 9706 grad_norm: 1.2394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2178 loss: 0.2178 2022/08/05 17:15:44 - mmengine - INFO - Epoch(train) [145][60/314] lr: 6.8864e-02 eta: 2:49:04 time: 0.3418 data_time: 0.0430 memory: 9706 grad_norm: 1.2184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2911 loss: 0.2911 2022/08/05 17:15:51 - mmengine - INFO - Epoch(train) [145][80/314] lr: 6.8785e-02 eta: 2:48:58 time: 0.3470 data_time: 0.0479 memory: 9706 grad_norm: 1.2448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2685 loss: 0.2685 2022/08/05 17:15:58 - mmengine - INFO - Epoch(train) [145][100/314] lr: 6.8706e-02 eta: 2:48:51 time: 0.3408 data_time: 0.0436 memory: 9706 grad_norm: 1.2263 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2265 loss: 0.2265 2022/08/05 17:16:05 - mmengine - INFO - Epoch(train) [145][120/314] lr: 6.8627e-02 eta: 2:48:44 time: 0.3393 data_time: 0.0426 memory: 9706 grad_norm: 1.2675 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2591 loss: 0.2591 2022/08/05 17:16:12 - mmengine - INFO - Epoch(train) [145][140/314] lr: 6.8548e-02 eta: 2:48:38 time: 0.3522 data_time: 0.0533 memory: 9706 grad_norm: 1.2775 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2508 loss: 0.2508 2022/08/05 17:16:19 - mmengine - INFO - Epoch(train) [145][160/314] lr: 6.8469e-02 eta: 2:48:31 time: 0.3415 data_time: 0.0427 memory: 9706 grad_norm: 1.1961 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1896 loss: 0.1896 2022/08/05 17:16:25 - mmengine - INFO - Epoch(train) [145][180/314] lr: 6.8389e-02 eta: 2:48:24 time: 0.3382 data_time: 0.0402 memory: 9706 grad_norm: 1.1970 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2496 loss: 0.2496 2022/08/05 17:16:32 - mmengine - INFO - Epoch(train) [145][200/314] lr: 6.8310e-02 eta: 2:48:18 time: 0.3496 data_time: 0.0491 memory: 9706 grad_norm: 1.2903 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2531 loss: 0.2531 2022/08/05 17:16:39 - mmengine - INFO - Epoch(train) [145][220/314] lr: 6.8231e-02 eta: 2:48:11 time: 0.3407 data_time: 0.0443 memory: 9706 grad_norm: 1.2646 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2554 loss: 0.2554 2022/08/05 17:16:46 - mmengine - INFO - Epoch(train) [145][240/314] lr: 6.8152e-02 eta: 2:48:04 time: 0.3465 data_time: 0.0516 memory: 9706 grad_norm: 1.3256 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2589 loss: 0.2589 2022/08/05 17:16:53 - mmengine - INFO - Epoch(train) [145][260/314] lr: 6.8073e-02 eta: 2:47:58 time: 0.3616 data_time: 0.0481 memory: 9706 grad_norm: 1.2155 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3189 loss: 0.3189 2022/08/05 17:17:00 - mmengine - INFO - Epoch(train) [145][280/314] lr: 6.7994e-02 eta: 2:47:51 time: 0.3347 data_time: 0.0429 memory: 9706 grad_norm: 1.2618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2678 loss: 0.2678 2022/08/05 17:17:07 - mmengine - INFO - Epoch(train) [145][300/314] lr: 6.7915e-02 eta: 2:47:45 time: 0.3396 data_time: 0.0484 memory: 9706 grad_norm: 1.1751 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2437 loss: 0.2437 2022/08/05 17:17:11 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:17:11 - mmengine - INFO - Epoch(train) [145][314/314] lr: 6.7860e-02 eta: 2:47:45 time: 0.2925 data_time: 0.0373 memory: 9706 grad_norm: 1.3091 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2435 loss: 0.2435 2022/08/05 17:17:11 - mmengine - INFO - Saving checkpoint at 145 epochs 2022/08/05 17:17:23 - mmengine - INFO - Epoch(train) [146][20/314] lr: 6.7781e-02 eta: 2:47:32 time: 0.4753 data_time: 0.2020 memory: 9706 grad_norm: 1.2795 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2828 loss: 0.2828 2022/08/05 17:17:30 - mmengine - INFO - Epoch(train) [146][40/314] lr: 6.7702e-02 eta: 2:47:25 time: 0.3383 data_time: 0.0523 memory: 9706 grad_norm: 1.2244 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3169 loss: 0.3169 2022/08/05 17:17:37 - mmengine - INFO - Epoch(train) [146][60/314] lr: 6.7623e-02 eta: 2:47:19 time: 0.3531 data_time: 0.0412 memory: 9706 grad_norm: 1.1828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2891 loss: 0.2891 2022/08/05 17:17:44 - mmengine - INFO - Epoch(train) [146][80/314] lr: 6.7544e-02 eta: 2:47:12 time: 0.3498 data_time: 0.0496 memory: 9706 grad_norm: 1.2080 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3083 loss: 0.3083 2022/08/05 17:17:51 - mmengine - INFO - Epoch(train) [146][100/314] lr: 6.7466e-02 eta: 2:47:05 time: 0.3468 data_time: 0.0448 memory: 9706 grad_norm: 1.2398 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2174 loss: 0.2174 2022/08/05 17:17:58 - mmengine - INFO - Epoch(train) [146][120/314] lr: 6.7387e-02 eta: 2:46:59 time: 0.3507 data_time: 0.0436 memory: 9706 grad_norm: 1.1976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2186 loss: 0.2186 2022/08/05 17:18:05 - mmengine - INFO - Epoch(train) [146][140/314] lr: 6.7308e-02 eta: 2:46:52 time: 0.3541 data_time: 0.0554 memory: 9706 grad_norm: 1.3307 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3411 loss: 0.3411 2022/08/05 17:18:12 - mmengine - INFO - Epoch(train) [146][160/314] lr: 6.7229e-02 eta: 2:46:46 time: 0.3538 data_time: 0.0455 memory: 9706 grad_norm: 1.2127 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2592 loss: 0.2592 2022/08/05 17:18:18 - mmengine - INFO - Epoch(train) [146][180/314] lr: 6.7150e-02 eta: 2:46:39 time: 0.3359 data_time: 0.0407 memory: 9706 grad_norm: 1.2403 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2936 loss: 0.2936 2022/08/05 17:18:26 - mmengine - INFO - Epoch(train) [146][200/314] lr: 6.7072e-02 eta: 2:46:32 time: 0.3535 data_time: 0.0645 memory: 9706 grad_norm: 1.3161 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2756 loss: 0.2756 2022/08/05 17:18:33 - mmengine - INFO - Epoch(train) [146][220/314] lr: 6.6993e-02 eta: 2:46:26 time: 0.3472 data_time: 0.0430 memory: 9706 grad_norm: 1.3630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2748 loss: 0.2748 2022/08/05 17:18:39 - mmengine - INFO - Epoch(train) [146][240/314] lr: 6.6914e-02 eta: 2:46:19 time: 0.3354 data_time: 0.0444 memory: 9706 grad_norm: 1.2993 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3046 loss: 0.3046 2022/08/05 17:18:46 - mmengine - INFO - Epoch(train) [146][260/314] lr: 6.6836e-02 eta: 2:46:12 time: 0.3374 data_time: 0.0405 memory: 9706 grad_norm: 1.2054 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2290 loss: 0.2290 2022/08/05 17:18:53 - mmengine - INFO - Epoch(train) [146][280/314] lr: 6.6757e-02 eta: 2:46:06 time: 0.3517 data_time: 0.0482 memory: 9706 grad_norm: 1.2610 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2622 loss: 0.2622 2022/08/05 17:19:00 - mmengine - INFO - Epoch(train) [146][300/314] lr: 6.6678e-02 eta: 2:45:59 time: 0.3426 data_time: 0.0384 memory: 9706 grad_norm: 1.1724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2382 loss: 0.2382 2022/08/05 17:19:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:19:04 - mmengine - INFO - Epoch(train) [146][314/314] lr: 6.6623e-02 eta: 2:45:59 time: 0.2945 data_time: 0.0362 memory: 9706 grad_norm: 1.2359 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.3166 loss: 0.3166 2022/08/05 17:19:04 - mmengine - INFO - Saving checkpoint at 146 epochs 2022/08/05 17:19:15 - mmengine - INFO - Epoch(train) [147][20/314] lr: 6.6545e-02 eta: 2:45:46 time: 0.4568 data_time: 0.1743 memory: 9706 grad_norm: 1.3414 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2825 loss: 0.2825 2022/08/05 17:19:23 - mmengine - INFO - Epoch(train) [147][40/314] lr: 6.6466e-02 eta: 2:45:40 time: 0.3569 data_time: 0.0414 memory: 9706 grad_norm: 1.1864 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2450 loss: 0.2450 2022/08/05 17:19:29 - mmengine - INFO - Epoch(train) [147][60/314] lr: 6.6388e-02 eta: 2:45:33 time: 0.3340 data_time: 0.0469 memory: 9706 grad_norm: 1.3194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3108 loss: 0.3108 2022/08/05 17:19:36 - mmengine - INFO - Epoch(train) [147][80/314] lr: 6.6309e-02 eta: 2:45:26 time: 0.3440 data_time: 0.0431 memory: 9706 grad_norm: 1.2526 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2805 loss: 0.2805 2022/08/05 17:19:44 - mmengine - INFO - Epoch(train) [147][100/314] lr: 6.6231e-02 eta: 2:45:20 time: 0.3683 data_time: 0.0445 memory: 9706 grad_norm: 1.2610 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2657 loss: 0.2657 2022/08/05 17:19:50 - mmengine - INFO - Epoch(train) [147][120/314] lr: 6.6152e-02 eta: 2:45:13 time: 0.3425 data_time: 0.0416 memory: 9706 grad_norm: 1.2418 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3342 loss: 0.3342 2022/08/05 17:19:57 - mmengine - INFO - Epoch(train) [147][140/314] lr: 6.6074e-02 eta: 2:45:07 time: 0.3458 data_time: 0.0526 memory: 9706 grad_norm: 1.1213 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2599 loss: 0.2599 2022/08/05 17:20:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:20:04 - mmengine - INFO - Epoch(train) [147][160/314] lr: 6.5995e-02 eta: 2:45:00 time: 0.3452 data_time: 0.0476 memory: 9706 grad_norm: 1.2892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2491 loss: 0.2491 2022/08/05 17:20:11 - mmengine - INFO - Epoch(train) [147][180/314] lr: 6.5917e-02 eta: 2:44:53 time: 0.3406 data_time: 0.0412 memory: 9706 grad_norm: 1.2902 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2316 loss: 0.2316 2022/08/05 17:20:18 - mmengine - INFO - Epoch(train) [147][200/314] lr: 6.5838e-02 eta: 2:44:47 time: 0.3503 data_time: 0.0449 memory: 9706 grad_norm: 1.2448 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2708 loss: 0.2708 2022/08/05 17:20:25 - mmengine - INFO - Epoch(train) [147][220/314] lr: 6.5760e-02 eta: 2:44:40 time: 0.3460 data_time: 0.0442 memory: 9706 grad_norm: 1.2419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2774 loss: 0.2774 2022/08/05 17:20:32 - mmengine - INFO - Epoch(train) [147][240/314] lr: 6.5682e-02 eta: 2:44:33 time: 0.3472 data_time: 0.0479 memory: 9706 grad_norm: 1.2848 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2299 loss: 0.2299 2022/08/05 17:20:39 - mmengine - INFO - Epoch(train) [147][260/314] lr: 6.5603e-02 eta: 2:44:27 time: 0.3380 data_time: 0.0451 memory: 9706 grad_norm: 1.2898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2355 loss: 0.2355 2022/08/05 17:20:46 - mmengine - INFO - Epoch(train) [147][280/314] lr: 6.5525e-02 eta: 2:44:20 time: 0.3476 data_time: 0.0441 memory: 9706 grad_norm: 1.2898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2811 loss: 0.2811 2022/08/05 17:20:53 - mmengine - INFO - Epoch(train) [147][300/314] lr: 6.5447e-02 eta: 2:44:13 time: 0.3498 data_time: 0.0599 memory: 9706 grad_norm: 1.2554 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2257 loss: 0.2257 2022/08/05 17:20:56 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:20:56 - mmengine - INFO - Epoch(train) [147][314/314] lr: 6.5392e-02 eta: 2:44:13 time: 0.2928 data_time: 0.0373 memory: 9706 grad_norm: 1.4198 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3146 loss: 0.3146 2022/08/05 17:20:57 - mmengine - INFO - Saving checkpoint at 147 epochs 2022/08/05 17:21:08 - mmengine - INFO - Epoch(train) [148][20/314] lr: 6.5314e-02 eta: 2:44:00 time: 0.4518 data_time: 0.1713 memory: 9706 grad_norm: 1.2958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3090 loss: 0.3090 2022/08/05 17:21:15 - mmengine - INFO - Epoch(train) [148][40/314] lr: 6.5236e-02 eta: 2:43:54 time: 0.3455 data_time: 0.0418 memory: 9706 grad_norm: 1.2168 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2804 loss: 0.2804 2022/08/05 17:21:22 - mmengine - INFO - Epoch(train) [148][60/314] lr: 6.5158e-02 eta: 2:43:47 time: 0.3447 data_time: 0.0513 memory: 9706 grad_norm: 1.2958 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2967 loss: 0.2967 2022/08/05 17:21:29 - mmengine - INFO - Epoch(train) [148][80/314] lr: 6.5080e-02 eta: 2:43:40 time: 0.3447 data_time: 0.0439 memory: 9706 grad_norm: 1.2749 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3025 loss: 0.3025 2022/08/05 17:21:36 - mmengine - INFO - Epoch(train) [148][100/314] lr: 6.5001e-02 eta: 2:43:34 time: 0.3548 data_time: 0.0430 memory: 9706 grad_norm: 1.2674 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2271 loss: 0.2271 2022/08/05 17:21:43 - mmengine - INFO - Epoch(train) [148][120/314] lr: 6.4923e-02 eta: 2:43:27 time: 0.3531 data_time: 0.0606 memory: 9706 grad_norm: 1.2390 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2440 loss: 0.2440 2022/08/05 17:21:50 - mmengine - INFO - Epoch(train) [148][140/314] lr: 6.4845e-02 eta: 2:43:21 time: 0.3424 data_time: 0.0408 memory: 9706 grad_norm: 1.1488 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2050 loss: 0.2050 2022/08/05 17:21:57 - mmengine - INFO - Epoch(train) [148][160/314] lr: 6.4767e-02 eta: 2:43:14 time: 0.3490 data_time: 0.0431 memory: 9706 grad_norm: 1.2703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2780 loss: 0.2780 2022/08/05 17:22:04 - mmengine - INFO - Epoch(train) [148][180/314] lr: 6.4689e-02 eta: 2:43:07 time: 0.3433 data_time: 0.0427 memory: 9706 grad_norm: 1.2522 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.2817 loss: 0.2817 2022/08/05 17:22:11 - mmengine - INFO - Epoch(train) [148][200/314] lr: 6.4611e-02 eta: 2:43:01 time: 0.3500 data_time: 0.0560 memory: 9706 grad_norm: 1.2371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2827 loss: 0.2827 2022/08/05 17:22:17 - mmengine - INFO - Epoch(train) [148][220/314] lr: 6.4533e-02 eta: 2:42:54 time: 0.3472 data_time: 0.0445 memory: 9706 grad_norm: 1.2553 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2470 loss: 0.2470 2022/08/05 17:22:24 - mmengine - INFO - Epoch(train) [148][240/314] lr: 6.4455e-02 eta: 2:42:48 time: 0.3413 data_time: 0.0465 memory: 9706 grad_norm: 1.3597 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.3459 loss: 0.3459 2022/08/05 17:22:31 - mmengine - INFO - Epoch(train) [148][260/314] lr: 6.4377e-02 eta: 2:42:41 time: 0.3454 data_time: 0.0465 memory: 9706 grad_norm: 1.3120 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3039 loss: 0.3039 2022/08/05 17:22:38 - mmengine - INFO - Epoch(train) [148][280/314] lr: 6.4299e-02 eta: 2:42:34 time: 0.3429 data_time: 0.0423 memory: 9706 grad_norm: 1.2121 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2740 loss: 0.2740 2022/08/05 17:22:45 - mmengine - INFO - Epoch(train) [148][300/314] lr: 6.4222e-02 eta: 2:42:28 time: 0.3436 data_time: 0.0430 memory: 9706 grad_norm: 1.2856 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2406 loss: 0.2406 2022/08/05 17:22:49 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:22:49 - mmengine - INFO - Epoch(train) [148][314/314] lr: 6.4167e-02 eta: 2:42:28 time: 0.2881 data_time: 0.0342 memory: 9706 grad_norm: 1.3837 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3372 loss: 0.3372 2022/08/05 17:22:49 - mmengine - INFO - Saving checkpoint at 148 epochs 2022/08/05 17:23:01 - mmengine - INFO - Epoch(train) [149][20/314] lr: 6.4089e-02 eta: 2:42:15 time: 0.4650 data_time: 0.1777 memory: 9706 grad_norm: 1.2848 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1982 loss: 0.1982 2022/08/05 17:23:08 - mmengine - INFO - Epoch(train) [149][40/314] lr: 6.4011e-02 eta: 2:42:08 time: 0.3454 data_time: 0.0439 memory: 9706 grad_norm: 1.1508 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2778 loss: 0.2778 2022/08/05 17:23:14 - mmengine - INFO - Epoch(train) [149][60/314] lr: 6.3934e-02 eta: 2:42:01 time: 0.3435 data_time: 0.0421 memory: 9706 grad_norm: 1.1885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1970 loss: 0.1970 2022/08/05 17:23:21 - mmengine - INFO - Epoch(train) [149][80/314] lr: 6.3856e-02 eta: 2:41:55 time: 0.3377 data_time: 0.0426 memory: 9706 grad_norm: 1.3336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3372 loss: 0.3372 2022/08/05 17:23:28 - mmengine - INFO - Epoch(train) [149][100/314] lr: 6.3778e-02 eta: 2:41:48 time: 0.3440 data_time: 0.0415 memory: 9706 grad_norm: 1.3212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2771 loss: 0.2771 2022/08/05 17:23:35 - mmengine - INFO - Epoch(train) [149][120/314] lr: 6.3701e-02 eta: 2:41:41 time: 0.3429 data_time: 0.0456 memory: 9706 grad_norm: 1.2206 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2367 loss: 0.2367 2022/08/05 17:23:42 - mmengine - INFO - Epoch(train) [149][140/314] lr: 6.3623e-02 eta: 2:41:35 time: 0.3463 data_time: 0.0391 memory: 9706 grad_norm: 1.2244 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2374 loss: 0.2374 2022/08/05 17:23:49 - mmengine - INFO - Epoch(train) [149][160/314] lr: 6.3545e-02 eta: 2:41:28 time: 0.3559 data_time: 0.0529 memory: 9706 grad_norm: 1.1735 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2375 loss: 0.2375 2022/08/05 17:23:56 - mmengine - INFO - Epoch(train) [149][180/314] lr: 6.3468e-02 eta: 2:41:22 time: 0.3496 data_time: 0.0518 memory: 9706 grad_norm: 1.3629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2786 loss: 0.2786 2022/08/05 17:24:03 - mmengine - INFO - Epoch(train) [149][200/314] lr: 6.3390e-02 eta: 2:41:15 time: 0.3476 data_time: 0.0468 memory: 9706 grad_norm: 1.2856 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1909 loss: 0.1909 2022/08/05 17:24:10 - mmengine - INFO - Epoch(train) [149][220/314] lr: 6.3312e-02 eta: 2:41:08 time: 0.3448 data_time: 0.0414 memory: 9706 grad_norm: 1.2598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2803 loss: 0.2803 2022/08/05 17:24:17 - mmengine - INFO - Epoch(train) [149][240/314] lr: 6.3235e-02 eta: 2:41:02 time: 0.3325 data_time: 0.0454 memory: 9706 grad_norm: 1.2820 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2934 loss: 0.2934 2022/08/05 17:24:24 - mmengine - INFO - Epoch(train) [149][260/314] lr: 6.3157e-02 eta: 2:40:55 time: 0.3663 data_time: 0.0439 memory: 9706 grad_norm: 1.3715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3438 loss: 0.3438 2022/08/05 17:24:31 - mmengine - INFO - Epoch(train) [149][280/314] lr: 6.3080e-02 eta: 2:40:48 time: 0.3373 data_time: 0.0426 memory: 9706 grad_norm: 1.3445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2352 loss: 0.2352 2022/08/05 17:24:37 - mmengine - INFO - Epoch(train) [149][300/314] lr: 6.3002e-02 eta: 2:40:42 time: 0.3438 data_time: 0.0425 memory: 9706 grad_norm: 1.2333 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2862 loss: 0.2862 2022/08/05 17:24:41 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:24:41 - mmengine - INFO - Epoch(train) [149][314/314] lr: 6.2948e-02 eta: 2:40:42 time: 0.2888 data_time: 0.0362 memory: 9706 grad_norm: 1.3315 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3623 loss: 0.3623 2022/08/05 17:24:41 - mmengine - INFO - Saving checkpoint at 149 epochs 2022/08/05 17:24:53 - mmengine - INFO - Epoch(train) [150][20/314] lr: 6.2871e-02 eta: 2:40:29 time: 0.4438 data_time: 0.1689 memory: 9706 grad_norm: 1.2694 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2571 loss: 0.2571 2022/08/05 17:25:00 - mmengine - INFO - Epoch(train) [150][40/314] lr: 6.2793e-02 eta: 2:40:22 time: 0.3419 data_time: 0.0414 memory: 9706 grad_norm: 1.2372 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1970 loss: 0.1970 2022/08/05 17:25:07 - mmengine - INFO - Epoch(train) [150][60/314] lr: 6.2716e-02 eta: 2:40:15 time: 0.3514 data_time: 0.0451 memory: 9706 grad_norm: 1.2595 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2072 loss: 0.2072 2022/08/05 17:25:14 - mmengine - INFO - Epoch(train) [150][80/314] lr: 6.2639e-02 eta: 2:40:09 time: 0.3581 data_time: 0.0489 memory: 9706 grad_norm: 1.2406 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2118 loss: 0.2118 2022/08/05 17:25:21 - mmengine - INFO - Epoch(train) [150][100/314] lr: 6.2561e-02 eta: 2:40:02 time: 0.3427 data_time: 0.0498 memory: 9706 grad_norm: 1.3896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3050 loss: 0.3050 2022/08/05 17:25:28 - mmengine - INFO - Epoch(train) [150][120/314] lr: 6.2484e-02 eta: 2:39:56 time: 0.3427 data_time: 0.0405 memory: 9706 grad_norm: 1.2777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2336 loss: 0.2336 2022/08/05 17:25:35 - mmengine - INFO - Epoch(train) [150][140/314] lr: 6.2407e-02 eta: 2:39:49 time: 0.3475 data_time: 0.0435 memory: 9706 grad_norm: 1.3819 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3306 loss: 0.3306 2022/08/05 17:25:41 - mmengine - INFO - Epoch(train) [150][160/314] lr: 6.2329e-02 eta: 2:39:42 time: 0.3458 data_time: 0.0429 memory: 9706 grad_norm: 1.3200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2865 loss: 0.2865 2022/08/05 17:25:48 - mmengine - INFO - Epoch(train) [150][180/314] lr: 6.2252e-02 eta: 2:39:36 time: 0.3503 data_time: 0.0503 memory: 9706 grad_norm: 1.2157 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3112 loss: 0.3112 2022/08/05 17:25:55 - mmengine - INFO - Epoch(train) [150][200/314] lr: 6.2175e-02 eta: 2:39:29 time: 0.3457 data_time: 0.0493 memory: 9706 grad_norm: 1.2914 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2604 loss: 0.2604 2022/08/05 17:26:00 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:26:03 - mmengine - INFO - Epoch(train) [150][220/314] lr: 6.2098e-02 eta: 2:39:23 time: 0.3590 data_time: 0.0407 memory: 9706 grad_norm: 1.3966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2875 loss: 0.2875 2022/08/05 17:26:09 - mmengine - INFO - Epoch(train) [150][240/314] lr: 6.2021e-02 eta: 2:39:16 time: 0.3382 data_time: 0.0445 memory: 9706 grad_norm: 1.3017 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2303 loss: 0.2303 2022/08/05 17:26:16 - mmengine - INFO - Epoch(train) [150][260/314] lr: 6.1944e-02 eta: 2:39:09 time: 0.3391 data_time: 0.0423 memory: 9706 grad_norm: 1.2769 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2401 loss: 0.2401 2022/08/05 17:26:23 - mmengine - INFO - Epoch(train) [150][280/314] lr: 6.1866e-02 eta: 2:39:03 time: 0.3566 data_time: 0.0456 memory: 9706 grad_norm: 1.2745 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2686 loss: 0.2686 2022/08/05 17:26:30 - mmengine - INFO - Epoch(train) [150][300/314] lr: 6.1789e-02 eta: 2:38:56 time: 0.3388 data_time: 0.0424 memory: 9706 grad_norm: 1.2813 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2884 loss: 0.2884 2022/08/05 17:26:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:26:34 - mmengine - INFO - Epoch(train) [150][314/314] lr: 6.1736e-02 eta: 2:38:56 time: 0.2901 data_time: 0.0378 memory: 9706 grad_norm: 1.3532 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3154 loss: 0.3154 2022/08/05 17:26:34 - mmengine - INFO - Saving checkpoint at 150 epochs 2022/08/05 17:26:47 - mmengine - INFO - Epoch(val) [150][20/129] eta: 0:00:54 time: 0.4964 data_time: 0.3236 memory: 1867 2022/08/05 17:26:53 - mmengine - INFO - Epoch(val) [150][40/129] eta: 0:00:28 time: 0.3168 data_time: 0.1366 memory: 1867 2022/08/05 17:27:00 - mmengine - INFO - Epoch(val) [150][60/129] eta: 0:00:23 time: 0.3435 data_time: 0.1655 memory: 1867 2022/08/05 17:27:06 - mmengine - INFO - Epoch(val) [150][80/129] eta: 0:00:15 time: 0.3225 data_time: 0.1417 memory: 1867 2022/08/05 17:27:13 - mmengine - INFO - Epoch(val) [150][100/129] eta: 0:00:09 time: 0.3305 data_time: 0.1515 memory: 1867 2022/08/05 17:27:18 - mmengine - INFO - Epoch(val) [150][120/129] eta: 0:00:02 time: 0.2666 data_time: 0.1115 memory: 1867 2022/08/05 17:27:20 - mmengine - INFO - Epoch(val) [150][129/129] acc/top1: 0.8899 acc/top5: 0.9910 acc/mean1: 0.8898 2022/08/05 17:27:20 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_141.pth is removed 2022/08/05 17:27:23 - mmengine - INFO - The best checkpoint with 0.8899 acc/top1 at 151 epoch is saved to best_acc/top1_epoch_151.pth. 2022/08/05 17:27:32 - mmengine - INFO - Epoch(train) [151][20/314] lr: 6.1658e-02 eta: 2:38:43 time: 0.4658 data_time: 0.1802 memory: 9706 grad_norm: 1.2178 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2830 loss: 0.2830 2022/08/05 17:27:39 - mmengine - INFO - Epoch(train) [151][40/314] lr: 6.1582e-02 eta: 2:38:36 time: 0.3449 data_time: 0.0457 memory: 9706 grad_norm: 1.2039 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1632 loss: 0.1632 2022/08/05 17:27:46 - mmengine - INFO - Epoch(train) [151][60/314] lr: 6.1505e-02 eta: 2:38:30 time: 0.3539 data_time: 0.0435 memory: 9706 grad_norm: 1.2502 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1961 loss: 0.1961 2022/08/05 17:27:53 - mmengine - INFO - Epoch(train) [151][80/314] lr: 6.1428e-02 eta: 2:38:23 time: 0.3394 data_time: 0.0459 memory: 9706 grad_norm: 1.2347 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2939 loss: 0.2939 2022/08/05 17:28:00 - mmengine - INFO - Epoch(train) [151][100/314] lr: 6.1351e-02 eta: 2:38:17 time: 0.3429 data_time: 0.0410 memory: 9706 grad_norm: 1.2568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2154 loss: 0.2154 2022/08/05 17:28:07 - mmengine - INFO - Epoch(train) [151][120/314] lr: 6.1274e-02 eta: 2:38:10 time: 0.3552 data_time: 0.0503 memory: 9706 grad_norm: 1.3230 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2244 loss: 0.2244 2022/08/05 17:28:14 - mmengine - INFO - Epoch(train) [151][140/314] lr: 6.1197e-02 eta: 2:38:03 time: 0.3456 data_time: 0.0509 memory: 9706 grad_norm: 1.2726 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2641 loss: 0.2641 2022/08/05 17:28:21 - mmengine - INFO - Epoch(train) [151][160/314] lr: 6.1120e-02 eta: 2:37:57 time: 0.3463 data_time: 0.0567 memory: 9706 grad_norm: 1.4176 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2803 loss: 0.2803 2022/08/05 17:28:28 - mmengine - INFO - Epoch(train) [151][180/314] lr: 6.1043e-02 eta: 2:37:50 time: 0.3405 data_time: 0.0406 memory: 9706 grad_norm: 1.2625 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2493 loss: 0.2493 2022/08/05 17:28:35 - mmengine - INFO - Epoch(train) [151][200/314] lr: 6.0967e-02 eta: 2:37:43 time: 0.3457 data_time: 0.0466 memory: 9706 grad_norm: 1.2670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2095 loss: 0.2095 2022/08/05 17:28:42 - mmengine - INFO - Epoch(train) [151][220/314] lr: 6.0890e-02 eta: 2:37:37 time: 0.3406 data_time: 0.0437 memory: 9706 grad_norm: 1.2841 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2214 loss: 0.2214 2022/08/05 17:28:49 - mmengine - INFO - Epoch(train) [151][240/314] lr: 6.0813e-02 eta: 2:37:30 time: 0.3522 data_time: 0.0470 memory: 9706 grad_norm: 1.2909 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.2588 loss: 0.2588 2022/08/05 17:28:56 - mmengine - INFO - Epoch(train) [151][260/314] lr: 6.0736e-02 eta: 2:37:23 time: 0.3428 data_time: 0.0466 memory: 9706 grad_norm: 1.3376 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.3590 loss: 0.3590 2022/08/05 17:29:02 - mmengine - INFO - Epoch(train) [151][280/314] lr: 6.0660e-02 eta: 2:37:17 time: 0.3388 data_time: 0.0433 memory: 9706 grad_norm: 1.3620 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2420 loss: 0.2420 2022/08/05 17:29:09 - mmengine - INFO - Epoch(train) [151][300/314] lr: 6.0583e-02 eta: 2:37:10 time: 0.3415 data_time: 0.0431 memory: 9706 grad_norm: 1.2559 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2757 loss: 0.2757 2022/08/05 17:29:13 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:29:13 - mmengine - INFO - Epoch(train) [151][314/314] lr: 6.0529e-02 eta: 2:37:10 time: 0.2906 data_time: 0.0384 memory: 9706 grad_norm: 1.3079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2615 loss: 0.2615 2022/08/05 17:29:13 - mmengine - INFO - Saving checkpoint at 151 epochs 2022/08/05 17:29:25 - mmengine - INFO - Epoch(train) [152][20/314] lr: 6.0453e-02 eta: 2:36:57 time: 0.4697 data_time: 0.1916 memory: 9706 grad_norm: 1.2472 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2301 loss: 0.2301 2022/08/05 17:29:32 - mmengine - INFO - Epoch(train) [152][40/314] lr: 6.0376e-02 eta: 2:36:51 time: 0.3399 data_time: 0.0379 memory: 9706 grad_norm: 1.2942 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3240 loss: 0.3240 2022/08/05 17:29:39 - mmengine - INFO - Epoch(train) [152][60/314] lr: 6.0300e-02 eta: 2:36:44 time: 0.3470 data_time: 0.0437 memory: 9706 grad_norm: 1.2681 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.2472 loss: 0.2472 2022/08/05 17:29:45 - mmengine - INFO - Epoch(train) [152][80/314] lr: 6.0223e-02 eta: 2:36:37 time: 0.3353 data_time: 0.0458 memory: 9706 grad_norm: 1.1562 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2240 loss: 0.2240 2022/08/05 17:29:52 - mmengine - INFO - Epoch(train) [152][100/314] lr: 6.0147e-02 eta: 2:36:31 time: 0.3411 data_time: 0.0441 memory: 9706 grad_norm: 1.2527 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1969 loss: 0.1969 2022/08/05 17:29:59 - mmengine - INFO - Epoch(train) [152][120/314] lr: 6.0070e-02 eta: 2:36:24 time: 0.3455 data_time: 0.0557 memory: 9706 grad_norm: 1.2642 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1948 loss: 0.1948 2022/08/05 17:30:06 - mmengine - INFO - Epoch(train) [152][140/314] lr: 5.9994e-02 eta: 2:36:17 time: 0.3411 data_time: 0.0460 memory: 9706 grad_norm: 1.2795 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1954 loss: 0.1954 2022/08/05 17:30:13 - mmengine - INFO - Epoch(train) [152][160/314] lr: 5.9917e-02 eta: 2:36:11 time: 0.3558 data_time: 0.0472 memory: 9706 grad_norm: 1.3409 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2562 loss: 0.2562 2022/08/05 17:30:20 - mmengine - INFO - Epoch(train) [152][180/314] lr: 5.9841e-02 eta: 2:36:04 time: 0.3410 data_time: 0.0396 memory: 9706 grad_norm: 1.2636 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2343 loss: 0.2343 2022/08/05 17:30:27 - mmengine - INFO - Epoch(train) [152][200/314] lr: 5.9765e-02 eta: 2:35:57 time: 0.3398 data_time: 0.0489 memory: 9706 grad_norm: 1.2521 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3308 loss: 0.3308 2022/08/05 17:30:34 - mmengine - INFO - Epoch(train) [152][220/314] lr: 5.9688e-02 eta: 2:35:51 time: 0.3603 data_time: 0.0433 memory: 9706 grad_norm: 1.3111 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2226 loss: 0.2226 2022/08/05 17:30:41 - mmengine - INFO - Epoch(train) [152][240/314] lr: 5.9612e-02 eta: 2:35:44 time: 0.3399 data_time: 0.0513 memory: 9706 grad_norm: 1.3631 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2813 loss: 0.2813 2022/08/05 17:30:48 - mmengine - INFO - Epoch(train) [152][260/314] lr: 5.9536e-02 eta: 2:35:37 time: 0.3410 data_time: 0.0505 memory: 9706 grad_norm: 1.3298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2934 loss: 0.2934 2022/08/05 17:30:54 - mmengine - INFO - Epoch(train) [152][280/314] lr: 5.9460e-02 eta: 2:35:31 time: 0.3427 data_time: 0.0436 memory: 9706 grad_norm: 1.2793 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2339 loss: 0.2339 2022/08/05 17:31:01 - mmengine - INFO - Epoch(train) [152][300/314] lr: 5.9383e-02 eta: 2:35:24 time: 0.3357 data_time: 0.0447 memory: 9706 grad_norm: 1.3393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2007 loss: 0.2007 2022/08/05 17:31:05 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:31:05 - mmengine - INFO - Epoch(train) [152][314/314] lr: 5.9330e-02 eta: 2:35:24 time: 0.2888 data_time: 0.0387 memory: 9706 grad_norm: 1.4410 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.3392 loss: 0.3392 2022/08/05 17:31:05 - mmengine - INFO - Saving checkpoint at 152 epochs 2022/08/05 17:31:17 - mmengine - INFO - Epoch(train) [153][20/314] lr: 5.9254e-02 eta: 2:35:11 time: 0.4582 data_time: 0.1967 memory: 9706 grad_norm: 1.3181 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2963 loss: 0.2963 2022/08/05 17:31:24 - mmengine - INFO - Epoch(train) [153][40/314] lr: 5.9178e-02 eta: 2:35:04 time: 0.3391 data_time: 0.0456 memory: 9706 grad_norm: 1.2533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2550 loss: 0.2550 2022/08/05 17:31:31 - mmengine - INFO - Epoch(train) [153][60/314] lr: 5.9102e-02 eta: 2:34:58 time: 0.3429 data_time: 0.0434 memory: 9706 grad_norm: 1.2487 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1544 loss: 0.1544 2022/08/05 17:31:38 - mmengine - INFO - Epoch(train) [153][80/314] lr: 5.9026e-02 eta: 2:34:51 time: 0.3422 data_time: 0.0490 memory: 9706 grad_norm: 1.4042 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2868 loss: 0.2868 2022/08/05 17:31:45 - mmengine - INFO - Epoch(train) [153][100/314] lr: 5.8950e-02 eta: 2:34:44 time: 0.3465 data_time: 0.0455 memory: 9706 grad_norm: 1.2655 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1912 loss: 0.1912 2022/08/05 17:31:51 - mmengine - INFO - Epoch(train) [153][120/314] lr: 5.8874e-02 eta: 2:34:38 time: 0.3443 data_time: 0.0414 memory: 9706 grad_norm: 1.2361 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2154 loss: 0.2154 2022/08/05 17:31:58 - mmengine - INFO - Epoch(train) [153][140/314] lr: 5.8798e-02 eta: 2:34:31 time: 0.3447 data_time: 0.0428 memory: 9706 grad_norm: 1.3450 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2470 loss: 0.2470 2022/08/05 17:32:05 - mmengine - INFO - Epoch(train) [153][160/314] lr: 5.8722e-02 eta: 2:34:24 time: 0.3451 data_time: 0.0457 memory: 9706 grad_norm: 1.3243 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3012 loss: 0.3012 2022/08/05 17:32:12 - mmengine - INFO - Epoch(train) [153][180/314] lr: 5.8646e-02 eta: 2:34:18 time: 0.3430 data_time: 0.0520 memory: 9706 grad_norm: 1.2608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2469 loss: 0.2469 2022/08/05 17:32:19 - mmengine - INFO - Epoch(train) [153][200/314] lr: 5.8570e-02 eta: 2:34:11 time: 0.3400 data_time: 0.0420 memory: 9706 grad_norm: 1.3227 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3242 loss: 0.3242 2022/08/05 17:32:26 - mmengine - INFO - Epoch(train) [153][220/314] lr: 5.8494e-02 eta: 2:34:04 time: 0.3458 data_time: 0.0429 memory: 9706 grad_norm: 1.2620 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2258 loss: 0.2258 2022/08/05 17:32:33 - mmengine - INFO - Epoch(train) [153][240/314] lr: 5.8418e-02 eta: 2:33:58 time: 0.3410 data_time: 0.0536 memory: 9706 grad_norm: 1.3515 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2015 loss: 0.2015 2022/08/05 17:32:40 - mmengine - INFO - Epoch(train) [153][260/314] lr: 5.8342e-02 eta: 2:33:51 time: 0.3498 data_time: 0.0408 memory: 9706 grad_norm: 1.3172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2538 loss: 0.2538 2022/08/05 17:32:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:32:47 - mmengine - INFO - Epoch(train) [153][280/314] lr: 5.8267e-02 eta: 2:33:44 time: 0.3472 data_time: 0.0522 memory: 9706 grad_norm: 1.2000 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2158 loss: 0.2158 2022/08/05 17:32:53 - mmengine - INFO - Epoch(train) [153][300/314] lr: 5.8191e-02 eta: 2:33:38 time: 0.3408 data_time: 0.0438 memory: 9706 grad_norm: 1.1270 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2252 loss: 0.2252 2022/08/05 17:32:57 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:32:57 - mmengine - INFO - Epoch(train) [153][314/314] lr: 5.8138e-02 eta: 2:33:38 time: 0.2928 data_time: 0.0378 memory: 9706 grad_norm: 1.2050 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2225 loss: 0.2225 2022/08/05 17:32:57 - mmengine - INFO - Saving checkpoint at 153 epochs 2022/08/05 17:33:09 - mmengine - INFO - Epoch(train) [154][20/314] lr: 5.8062e-02 eta: 2:33:25 time: 0.4712 data_time: 0.1881 memory: 9706 grad_norm: 1.2727 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2317 loss: 0.2317 2022/08/05 17:33:16 - mmengine - INFO - Epoch(train) [154][40/314] lr: 5.7986e-02 eta: 2:33:18 time: 0.3444 data_time: 0.0403 memory: 9706 grad_norm: 1.4519 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2107 loss: 0.2107 2022/08/05 17:33:23 - mmengine - INFO - Epoch(train) [154][60/314] lr: 5.7911e-02 eta: 2:33:12 time: 0.3405 data_time: 0.0419 memory: 9706 grad_norm: 1.2943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3225 loss: 0.3225 2022/08/05 17:33:30 - mmengine - INFO - Epoch(train) [154][80/314] lr: 5.7835e-02 eta: 2:33:05 time: 0.3456 data_time: 0.0472 memory: 9706 grad_norm: 1.3770 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2257 loss: 0.2257 2022/08/05 17:33:37 - mmengine - INFO - Epoch(train) [154][100/314] lr: 5.7760e-02 eta: 2:32:58 time: 0.3373 data_time: 0.0421 memory: 9706 grad_norm: 1.1495 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1787 loss: 0.1787 2022/08/05 17:33:44 - mmengine - INFO - Epoch(train) [154][120/314] lr: 5.7684e-02 eta: 2:32:52 time: 0.3475 data_time: 0.0601 memory: 9706 grad_norm: 1.2818 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2059 loss: 0.2059 2022/08/05 17:33:50 - mmengine - INFO - Epoch(train) [154][140/314] lr: 5.7608e-02 eta: 2:32:45 time: 0.3348 data_time: 0.0416 memory: 9706 grad_norm: 1.3521 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3219 loss: 0.3219 2022/08/05 17:33:58 - mmengine - INFO - Epoch(train) [154][160/314] lr: 5.7533e-02 eta: 2:32:38 time: 0.3595 data_time: 0.0485 memory: 9706 grad_norm: 1.2691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2134 loss: 0.2134 2022/08/05 17:34:04 - mmengine - INFO - Epoch(train) [154][180/314] lr: 5.7458e-02 eta: 2:32:32 time: 0.3449 data_time: 0.0485 memory: 9706 grad_norm: 1.2787 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2193 loss: 0.2193 2022/08/05 17:34:11 - mmengine - INFO - Epoch(train) [154][200/314] lr: 5.7382e-02 eta: 2:32:25 time: 0.3460 data_time: 0.0426 memory: 9706 grad_norm: 1.2566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2394 loss: 0.2394 2022/08/05 17:34:18 - mmengine - INFO - Epoch(train) [154][220/314] lr: 5.7307e-02 eta: 2:32:18 time: 0.3465 data_time: 0.0430 memory: 9706 grad_norm: 1.4006 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2386 loss: 0.2386 2022/08/05 17:34:25 - mmengine - INFO - Epoch(train) [154][240/314] lr: 5.7231e-02 eta: 2:32:12 time: 0.3445 data_time: 0.0486 memory: 9706 grad_norm: 1.2582 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2580 loss: 0.2580 2022/08/05 17:34:32 - mmengine - INFO - Epoch(train) [154][260/314] lr: 5.7156e-02 eta: 2:32:05 time: 0.3409 data_time: 0.0424 memory: 9706 grad_norm: 1.2798 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2299 loss: 0.2299 2022/08/05 17:34:39 - mmengine - INFO - Epoch(train) [154][280/314] lr: 5.7081e-02 eta: 2:31:58 time: 0.3464 data_time: 0.0453 memory: 9706 grad_norm: 1.2858 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2659 loss: 0.2659 2022/08/05 17:34:46 - mmengine - INFO - Epoch(train) [154][300/314] lr: 5.7005e-02 eta: 2:31:52 time: 0.3372 data_time: 0.0422 memory: 9706 grad_norm: 1.3550 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.3518 loss: 0.3518 2022/08/05 17:34:50 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:34:50 - mmengine - INFO - Epoch(train) [154][314/314] lr: 5.6953e-02 eta: 2:31:52 time: 0.2913 data_time: 0.0357 memory: 9706 grad_norm: 1.3374 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2526 loss: 0.2526 2022/08/05 17:34:50 - mmengine - INFO - Saving checkpoint at 154 epochs 2022/08/05 17:35:02 - mmengine - INFO - Epoch(train) [155][20/314] lr: 5.6877e-02 eta: 2:31:39 time: 0.4694 data_time: 0.1884 memory: 9706 grad_norm: 1.2144 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1977 loss: 0.1977 2022/08/05 17:35:09 - mmengine - INFO - Epoch(train) [155][40/314] lr: 5.6802e-02 eta: 2:31:32 time: 0.3505 data_time: 0.0506 memory: 9706 grad_norm: 1.1770 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1791 loss: 0.1791 2022/08/05 17:35:16 - mmengine - INFO - Epoch(train) [155][60/314] lr: 5.6727e-02 eta: 2:31:26 time: 0.3431 data_time: 0.0504 memory: 9706 grad_norm: 1.1502 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1827 loss: 0.1827 2022/08/05 17:35:23 - mmengine - INFO - Epoch(train) [155][80/314] lr: 5.6652e-02 eta: 2:31:19 time: 0.3396 data_time: 0.0413 memory: 9706 grad_norm: 1.3974 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2195 loss: 0.2195 2022/08/05 17:35:30 - mmengine - INFO - Epoch(train) [155][100/314] lr: 5.6577e-02 eta: 2:31:13 time: 0.3585 data_time: 0.0422 memory: 9706 grad_norm: 1.3244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2832 loss: 0.2832 2022/08/05 17:35:36 - mmengine - INFO - Epoch(train) [155][120/314] lr: 5.6502e-02 eta: 2:31:06 time: 0.3364 data_time: 0.0450 memory: 9706 grad_norm: 1.3469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2592 loss: 0.2592 2022/08/05 17:35:44 - mmengine - INFO - Epoch(train) [155][140/314] lr: 5.6427e-02 eta: 2:30:59 time: 0.3577 data_time: 0.0425 memory: 9706 grad_norm: 1.1882 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.1918 loss: 0.1918 2022/08/05 17:35:50 - mmengine - INFO - Epoch(train) [155][160/314] lr: 5.6352e-02 eta: 2:30:53 time: 0.3383 data_time: 0.0429 memory: 9706 grad_norm: 1.4071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2541 loss: 0.2541 2022/08/05 17:35:57 - mmengine - INFO - Epoch(train) [155][180/314] lr: 5.6277e-02 eta: 2:30:46 time: 0.3369 data_time: 0.0437 memory: 9706 grad_norm: 1.3622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2248 loss: 0.2248 2022/08/05 17:36:04 - mmengine - INFO - Epoch(train) [155][200/314] lr: 5.6202e-02 eta: 2:30:39 time: 0.3473 data_time: 0.0441 memory: 9706 grad_norm: 1.2567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1639 loss: 0.1639 2022/08/05 17:36:11 - mmengine - INFO - Epoch(train) [155][220/314] lr: 5.6127e-02 eta: 2:30:33 time: 0.3467 data_time: 0.0472 memory: 9706 grad_norm: 1.4255 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2369 loss: 0.2369 2022/08/05 17:36:18 - mmengine - INFO - Epoch(train) [155][240/314] lr: 5.6052e-02 eta: 2:30:26 time: 0.3369 data_time: 0.0439 memory: 9706 grad_norm: 1.2190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2392 loss: 0.2392 2022/08/05 17:36:25 - mmengine - INFO - Epoch(train) [155][260/314] lr: 5.5977e-02 eta: 2:30:19 time: 0.3506 data_time: 0.0451 memory: 9706 grad_norm: 1.2759 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2433 loss: 0.2433 2022/08/05 17:36:32 - mmengine - INFO - Epoch(train) [155][280/314] lr: 5.5902e-02 eta: 2:30:12 time: 0.3366 data_time: 0.0463 memory: 9706 grad_norm: 1.3065 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2582 loss: 0.2582 2022/08/05 17:36:39 - mmengine - INFO - Epoch(train) [155][300/314] lr: 5.5827e-02 eta: 2:30:06 time: 0.3503 data_time: 0.0434 memory: 9706 grad_norm: 1.3233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2130 loss: 0.2130 2022/08/05 17:36:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:36:42 - mmengine - INFO - Epoch(train) [155][314/314] lr: 5.5775e-02 eta: 2:30:06 time: 0.2929 data_time: 0.0385 memory: 9706 grad_norm: 1.4448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3024 loss: 0.3024 2022/08/05 17:36:42 - mmengine - INFO - Saving checkpoint at 155 epochs 2022/08/05 17:36:54 - mmengine - INFO - Epoch(train) [156][20/314] lr: 5.5700e-02 eta: 2:29:53 time: 0.4766 data_time: 0.1868 memory: 9706 grad_norm: 1.2488 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2738 loss: 0.2738 2022/08/05 17:37:01 - mmengine - INFO - Epoch(train) [156][40/314] lr: 5.5625e-02 eta: 2:29:47 time: 0.3408 data_time: 0.0500 memory: 9706 grad_norm: 1.2804 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2369 loss: 0.2369 2022/08/05 17:37:08 - mmengine - INFO - Epoch(train) [156][60/314] lr: 5.5551e-02 eta: 2:29:40 time: 0.3487 data_time: 0.0422 memory: 9706 grad_norm: 1.2990 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.2735 loss: 0.2735 2022/08/05 17:37:15 - mmengine - INFO - Epoch(train) [156][80/314] lr: 5.5476e-02 eta: 2:29:33 time: 0.3347 data_time: 0.0434 memory: 9706 grad_norm: 1.2575 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2419 loss: 0.2419 2022/08/05 17:37:22 - mmengine - INFO - Epoch(train) [156][100/314] lr: 5.5401e-02 eta: 2:29:27 time: 0.3411 data_time: 0.0529 memory: 9706 grad_norm: 1.2267 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2461 loss: 0.2461 2022/08/05 17:37:29 - mmengine - INFO - Epoch(train) [156][120/314] lr: 5.5327e-02 eta: 2:29:20 time: 0.3501 data_time: 0.0437 memory: 9706 grad_norm: 1.3454 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2193 loss: 0.2193 2022/08/05 17:37:36 - mmengine - INFO - Epoch(train) [156][140/314] lr: 5.5252e-02 eta: 2:29:13 time: 0.3436 data_time: 0.0463 memory: 9706 grad_norm: 1.1921 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2814 loss: 0.2814 2022/08/05 17:37:43 - mmengine - INFO - Epoch(train) [156][160/314] lr: 5.5178e-02 eta: 2:29:07 time: 0.3481 data_time: 0.0465 memory: 9706 grad_norm: 1.2749 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2513 loss: 0.2513 2022/08/05 17:37:50 - mmengine - INFO - Epoch(train) [156][180/314] lr: 5.5103e-02 eta: 2:29:00 time: 0.3516 data_time: 0.0472 memory: 9706 grad_norm: 1.2616 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2397 loss: 0.2397 2022/08/05 17:37:57 - mmengine - INFO - Epoch(train) [156][200/314] lr: 5.5029e-02 eta: 2:28:53 time: 0.3433 data_time: 0.0427 memory: 9706 grad_norm: 1.2535 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2364 loss: 0.2364 2022/08/05 17:38:04 - mmengine - INFO - Epoch(train) [156][220/314] lr: 5.4954e-02 eta: 2:28:47 time: 0.3594 data_time: 0.0518 memory: 9706 grad_norm: 1.2502 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1931 loss: 0.1931 2022/08/05 17:38:11 - mmengine - INFO - Epoch(train) [156][240/314] lr: 5.4880e-02 eta: 2:28:40 time: 0.3424 data_time: 0.0475 memory: 9706 grad_norm: 1.2633 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1915 loss: 0.1915 2022/08/05 17:38:18 - mmengine - INFO - Epoch(train) [156][260/314] lr: 5.4805e-02 eta: 2:28:34 time: 0.3494 data_time: 0.0468 memory: 9706 grad_norm: 1.3244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2729 loss: 0.2729 2022/08/05 17:38:24 - mmengine - INFO - Epoch(train) [156][280/314] lr: 5.4731e-02 eta: 2:28:27 time: 0.3442 data_time: 0.0518 memory: 9706 grad_norm: 1.3388 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2489 loss: 0.2489 2022/08/05 17:38:31 - mmengine - INFO - Epoch(train) [156][300/314] lr: 5.4657e-02 eta: 2:28:20 time: 0.3420 data_time: 0.0470 memory: 9706 grad_norm: 1.2943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3071 loss: 0.3071 2022/08/05 17:38:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:38:35 - mmengine - INFO - Epoch(train) [156][314/314] lr: 5.4605e-02 eta: 2:28:20 time: 0.2903 data_time: 0.0367 memory: 9706 grad_norm: 1.3861 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2544 loss: 0.2544 2022/08/05 17:38:35 - mmengine - INFO - Saving checkpoint at 156 epochs 2022/08/05 17:38:45 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:38:47 - mmengine - INFO - Epoch(train) [157][20/314] lr: 5.4530e-02 eta: 2:28:07 time: 0.4525 data_time: 0.1778 memory: 9706 grad_norm: 1.4006 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2807 loss: 0.2807 2022/08/05 17:38:54 - mmengine - INFO - Epoch(train) [157][40/314] lr: 5.4456e-02 eta: 2:28:01 time: 0.3635 data_time: 0.0500 memory: 9706 grad_norm: 1.3858 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3065 loss: 0.3065 2022/08/05 17:39:01 - mmengine - INFO - Epoch(train) [157][60/314] lr: 5.4382e-02 eta: 2:27:54 time: 0.3316 data_time: 0.0480 memory: 9706 grad_norm: 1.3700 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2417 loss: 0.2417 2022/08/05 17:39:08 - mmengine - INFO - Epoch(train) [157][80/314] lr: 5.4308e-02 eta: 2:27:48 time: 0.3518 data_time: 0.0402 memory: 9706 grad_norm: 1.2644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1940 loss: 0.1940 2022/08/05 17:39:15 - mmengine - INFO - Epoch(train) [157][100/314] lr: 5.4234e-02 eta: 2:27:41 time: 0.3516 data_time: 0.0412 memory: 9706 grad_norm: 1.2627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2272 loss: 0.2272 2022/08/05 17:39:22 - mmengine - INFO - Epoch(train) [157][120/314] lr: 5.4159e-02 eta: 2:27:34 time: 0.3488 data_time: 0.0409 memory: 9706 grad_norm: 1.3495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2724 loss: 0.2724 2022/08/05 17:39:29 - mmengine - INFO - Epoch(train) [157][140/314] lr: 5.4085e-02 eta: 2:27:28 time: 0.3381 data_time: 0.0418 memory: 9706 grad_norm: 1.2397 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2154 loss: 0.2154 2022/08/05 17:39:36 - mmengine - INFO - Epoch(train) [157][160/314] lr: 5.4011e-02 eta: 2:27:21 time: 0.3503 data_time: 0.0394 memory: 9706 grad_norm: 1.3343 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2861 loss: 0.2861 2022/08/05 17:39:42 - mmengine - INFO - Epoch(train) [157][180/314] lr: 5.3937e-02 eta: 2:27:14 time: 0.3403 data_time: 0.0449 memory: 9706 grad_norm: 1.2493 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2223 loss: 0.2223 2022/08/05 17:39:49 - mmengine - INFO - Epoch(train) [157][200/314] lr: 5.3863e-02 eta: 2:27:08 time: 0.3433 data_time: 0.0447 memory: 9706 grad_norm: 1.2357 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2720 loss: 0.2720 2022/08/05 17:39:56 - mmengine - INFO - Epoch(train) [157][220/314] lr: 5.3789e-02 eta: 2:27:01 time: 0.3494 data_time: 0.0427 memory: 9706 grad_norm: 1.3297 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2361 loss: 0.2361 2022/08/05 17:40:03 - mmengine - INFO - Epoch(train) [157][240/314] lr: 5.3715e-02 eta: 2:26:54 time: 0.3392 data_time: 0.0454 memory: 9706 grad_norm: 1.3311 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2905 loss: 0.2905 2022/08/05 17:40:10 - mmengine - INFO - Epoch(train) [157][260/314] lr: 5.3642e-02 eta: 2:26:48 time: 0.3425 data_time: 0.0440 memory: 9706 grad_norm: 1.2114 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2185 loss: 0.2185 2022/08/05 17:40:17 - mmengine - INFO - Epoch(train) [157][280/314] lr: 5.3568e-02 eta: 2:26:41 time: 0.3528 data_time: 0.0467 memory: 9706 grad_norm: 1.2734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1952 loss: 0.1952 2022/08/05 17:40:24 - mmengine - INFO - Epoch(train) [157][300/314] lr: 5.3494e-02 eta: 2:26:34 time: 0.3408 data_time: 0.0449 memory: 9706 grad_norm: 1.3846 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2074 loss: 0.2074 2022/08/05 17:40:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:40:28 - mmengine - INFO - Epoch(train) [157][314/314] lr: 5.3442e-02 eta: 2:26:34 time: 0.2938 data_time: 0.0396 memory: 9706 grad_norm: 1.4471 top1_acc: 0.2500 top5_acc: 1.0000 loss_cls: 0.3229 loss: 0.3229 2022/08/05 17:40:28 - mmengine - INFO - Saving checkpoint at 157 epochs 2022/08/05 17:40:40 - mmengine - INFO - Epoch(train) [158][20/314] lr: 5.3368e-02 eta: 2:26:22 time: 0.4649 data_time: 0.1860 memory: 9706 grad_norm: 1.2445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2112 loss: 0.2112 2022/08/05 17:40:47 - mmengine - INFO - Epoch(train) [158][40/314] lr: 5.3295e-02 eta: 2:26:15 time: 0.3473 data_time: 0.0431 memory: 9706 grad_norm: 1.2584 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2200 loss: 0.2200 2022/08/05 17:40:53 - mmengine - INFO - Epoch(train) [158][60/314] lr: 5.3221e-02 eta: 2:26:08 time: 0.3436 data_time: 0.0396 memory: 9706 grad_norm: 1.3454 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2182 loss: 0.2182 2022/08/05 17:41:00 - mmengine - INFO - Epoch(train) [158][80/314] lr: 5.3147e-02 eta: 2:26:02 time: 0.3429 data_time: 0.0517 memory: 9706 grad_norm: 1.3423 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2115 loss: 0.2115 2022/08/05 17:41:07 - mmengine - INFO - Epoch(train) [158][100/314] lr: 5.3074e-02 eta: 2:25:55 time: 0.3512 data_time: 0.0431 memory: 9706 grad_norm: 1.2962 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1647 loss: 0.1647 2022/08/05 17:41:14 - mmengine - INFO - Epoch(train) [158][120/314] lr: 5.3000e-02 eta: 2:25:48 time: 0.3400 data_time: 0.0476 memory: 9706 grad_norm: 1.2476 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2432 loss: 0.2432 2022/08/05 17:41:21 - mmengine - INFO - Epoch(train) [158][140/314] lr: 5.2927e-02 eta: 2:25:42 time: 0.3481 data_time: 0.0409 memory: 9706 grad_norm: 1.3745 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1671 loss: 0.1671 2022/08/05 17:41:28 - mmengine - INFO - Epoch(train) [158][160/314] lr: 5.2853e-02 eta: 2:25:35 time: 0.3488 data_time: 0.0586 memory: 9706 grad_norm: 1.3284 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2569 loss: 0.2569 2022/08/05 17:41:35 - mmengine - INFO - Epoch(train) [158][180/314] lr: 5.2779e-02 eta: 2:25:28 time: 0.3523 data_time: 0.0517 memory: 9706 grad_norm: 1.4137 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.3160 loss: 0.3160 2022/08/05 17:41:42 - mmengine - INFO - Epoch(train) [158][200/314] lr: 5.2706e-02 eta: 2:25:22 time: 0.3425 data_time: 0.0411 memory: 9706 grad_norm: 1.3343 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2393 loss: 0.2393 2022/08/05 17:41:49 - mmengine - INFO - Epoch(train) [158][220/314] lr: 5.2633e-02 eta: 2:25:15 time: 0.3514 data_time: 0.0418 memory: 9706 grad_norm: 1.2998 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2039 loss: 0.2039 2022/08/05 17:41:56 - mmengine - INFO - Epoch(train) [158][240/314] lr: 5.2559e-02 eta: 2:25:09 time: 0.3431 data_time: 0.0451 memory: 9706 grad_norm: 1.3404 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2699 loss: 0.2699 2022/08/05 17:42:03 - mmengine - INFO - Epoch(train) [158][260/314] lr: 5.2486e-02 eta: 2:25:02 time: 0.3421 data_time: 0.0417 memory: 9706 grad_norm: 1.2528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2569 loss: 0.2569 2022/08/05 17:42:10 - mmengine - INFO - Epoch(train) [158][280/314] lr: 5.2412e-02 eta: 2:24:55 time: 0.3470 data_time: 0.0481 memory: 9706 grad_norm: 1.2601 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2139 loss: 0.2139 2022/08/05 17:42:16 - mmengine - INFO - Epoch(train) [158][300/314] lr: 5.2339e-02 eta: 2:24:48 time: 0.3389 data_time: 0.0433 memory: 9706 grad_norm: 1.1941 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2087 loss: 0.2087 2022/08/05 17:42:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:42:20 - mmengine - INFO - Epoch(train) [158][314/314] lr: 5.2288e-02 eta: 2:24:48 time: 0.2903 data_time: 0.0355 memory: 9706 grad_norm: 1.3214 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.2369 loss: 0.2369 2022/08/05 17:42:20 - mmengine - INFO - Saving checkpoint at 158 epochs 2022/08/05 17:42:32 - mmengine - INFO - Epoch(train) [159][20/314] lr: 5.2215e-02 eta: 2:24:36 time: 0.4575 data_time: 0.1656 memory: 9706 grad_norm: 1.3125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2137 loss: 0.2137 2022/08/05 17:42:39 - mmengine - INFO - Epoch(train) [159][40/314] lr: 5.2141e-02 eta: 2:24:29 time: 0.3462 data_time: 0.0415 memory: 9706 grad_norm: 1.2738 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2141 loss: 0.2141 2022/08/05 17:42:46 - mmengine - INFO - Epoch(train) [159][60/314] lr: 5.2068e-02 eta: 2:24:22 time: 0.3426 data_time: 0.0433 memory: 9706 grad_norm: 1.3084 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1989 loss: 0.1989 2022/08/05 17:42:53 - mmengine - INFO - Epoch(train) [159][80/314] lr: 5.1995e-02 eta: 2:24:16 time: 0.3459 data_time: 0.0411 memory: 9706 grad_norm: 1.3348 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1633 loss: 0.1633 2022/08/05 17:43:00 - mmengine - INFO - Epoch(train) [159][100/314] lr: 5.1922e-02 eta: 2:24:09 time: 0.3426 data_time: 0.0436 memory: 9706 grad_norm: 1.3005 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2455 loss: 0.2455 2022/08/05 17:43:06 - mmengine - INFO - Epoch(train) [159][120/314] lr: 5.1849e-02 eta: 2:24:02 time: 0.3410 data_time: 0.0444 memory: 9706 grad_norm: 1.2205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1881 loss: 0.1881 2022/08/05 17:43:13 - mmengine - INFO - Epoch(train) [159][140/314] lr: 5.1776e-02 eta: 2:23:56 time: 0.3461 data_time: 0.0431 memory: 9706 grad_norm: 1.3776 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2459 loss: 0.2459 2022/08/05 17:43:20 - mmengine - INFO - Epoch(train) [159][160/314] lr: 5.1703e-02 eta: 2:23:49 time: 0.3415 data_time: 0.0446 memory: 9706 grad_norm: 1.3751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2131 loss: 0.2131 2022/08/05 17:43:27 - mmengine - INFO - Epoch(train) [159][180/314] lr: 5.1630e-02 eta: 2:23:42 time: 0.3435 data_time: 0.0453 memory: 9706 grad_norm: 1.4528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2876 loss: 0.2876 2022/08/05 17:43:34 - mmengine - INFO - Epoch(train) [159][200/314] lr: 5.1557e-02 eta: 2:23:36 time: 0.3655 data_time: 0.0459 memory: 9706 grad_norm: 1.2044 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1884 loss: 0.1884 2022/08/05 17:43:41 - mmengine - INFO - Epoch(train) [159][220/314] lr: 5.1484e-02 eta: 2:23:29 time: 0.3349 data_time: 0.0522 memory: 9706 grad_norm: 1.4180 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2930 loss: 0.2930 2022/08/05 17:43:48 - mmengine - INFO - Epoch(train) [159][240/314] lr: 5.1411e-02 eta: 2:23:22 time: 0.3448 data_time: 0.0462 memory: 9706 grad_norm: 1.3455 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2499 loss: 0.2499 2022/08/05 17:43:55 - mmengine - INFO - Epoch(train) [159][260/314] lr: 5.1338e-02 eta: 2:23:16 time: 0.3506 data_time: 0.0448 memory: 9706 grad_norm: 1.0699 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1266 loss: 0.1266 2022/08/05 17:44:02 - mmengine - INFO - Epoch(train) [159][280/314] lr: 5.1265e-02 eta: 2:23:09 time: 0.3403 data_time: 0.0529 memory: 9706 grad_norm: 1.3898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2428 loss: 0.2428 2022/08/05 17:44:09 - mmengine - INFO - Epoch(train) [159][300/314] lr: 5.1192e-02 eta: 2:23:02 time: 0.3401 data_time: 0.0422 memory: 9706 grad_norm: 1.2411 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2052 loss: 0.2052 2022/08/05 17:44:12 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:44:12 - mmengine - INFO - Epoch(train) [159][314/314] lr: 5.1142e-02 eta: 2:23:02 time: 0.2862 data_time: 0.0362 memory: 9706 grad_norm: 1.5184 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2567 loss: 0.2567 2022/08/05 17:44:13 - mmengine - INFO - Saving checkpoint at 159 epochs 2022/08/05 17:44:24 - mmengine - INFO - Epoch(train) [160][20/314] lr: 5.1069e-02 eta: 2:22:50 time: 0.4518 data_time: 0.1728 memory: 9706 grad_norm: 1.4498 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2530 loss: 0.2530 2022/08/05 17:44:31 - mmengine - INFO - Epoch(train) [160][40/314] lr: 5.0996e-02 eta: 2:22:43 time: 0.3383 data_time: 0.0397 memory: 9706 grad_norm: 1.3200 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2308 loss: 0.2308 2022/08/05 17:44:38 - mmengine - INFO - Epoch(train) [160][60/314] lr: 5.0923e-02 eta: 2:22:36 time: 0.3481 data_time: 0.0408 memory: 9706 grad_norm: 1.3100 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1845 loss: 0.1845 2022/08/05 17:44:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:44:45 - mmengine - INFO - Epoch(train) [160][80/314] lr: 5.0851e-02 eta: 2:22:30 time: 0.3446 data_time: 0.0435 memory: 9706 grad_norm: 1.2356 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1890 loss: 0.1890 2022/08/05 17:44:52 - mmengine - INFO - Epoch(train) [160][100/314] lr: 5.0778e-02 eta: 2:22:23 time: 0.3370 data_time: 0.0430 memory: 9706 grad_norm: 1.3013 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1849 loss: 0.1849 2022/08/05 17:44:58 - mmengine - INFO - Epoch(train) [160][120/314] lr: 5.0706e-02 eta: 2:22:16 time: 0.3445 data_time: 0.0478 memory: 9706 grad_norm: 1.2877 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2197 loss: 0.2197 2022/08/05 17:45:05 - mmengine - INFO - Epoch(train) [160][140/314] lr: 5.0633e-02 eta: 2:22:10 time: 0.3426 data_time: 0.0394 memory: 9706 grad_norm: 1.3282 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2775 loss: 0.2775 2022/08/05 17:45:12 - mmengine - INFO - Epoch(train) [160][160/314] lr: 5.0561e-02 eta: 2:22:03 time: 0.3467 data_time: 0.0438 memory: 9706 grad_norm: 1.3748 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2201 loss: 0.2201 2022/08/05 17:45:19 - mmengine - INFO - Epoch(train) [160][180/314] lr: 5.0488e-02 eta: 2:21:56 time: 0.3445 data_time: 0.0456 memory: 9706 grad_norm: 1.4010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2574 loss: 0.2574 2022/08/05 17:45:26 - mmengine - INFO - Epoch(train) [160][200/314] lr: 5.0416e-02 eta: 2:21:50 time: 0.3456 data_time: 0.0455 memory: 9706 grad_norm: 1.2771 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2302 loss: 0.2302 2022/08/05 17:45:33 - mmengine - INFO - Epoch(train) [160][220/314] lr: 5.0343e-02 eta: 2:21:43 time: 0.3405 data_time: 0.0408 memory: 9706 grad_norm: 1.1846 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2294 loss: 0.2294 2022/08/05 17:45:40 - mmengine - INFO - Epoch(train) [160][240/314] lr: 5.0271e-02 eta: 2:21:36 time: 0.3460 data_time: 0.0420 memory: 9706 grad_norm: 1.2567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2245 loss: 0.2245 2022/08/05 17:45:47 - mmengine - INFO - Epoch(train) [160][260/314] lr: 5.0199e-02 eta: 2:21:30 time: 0.3462 data_time: 0.0422 memory: 9706 grad_norm: 1.3690 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2569 loss: 0.2569 2022/08/05 17:45:54 - mmengine - INFO - Epoch(train) [160][280/314] lr: 5.0126e-02 eta: 2:21:23 time: 0.3451 data_time: 0.0556 memory: 9706 grad_norm: 1.4278 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2884 loss: 0.2884 2022/08/05 17:46:01 - mmengine - INFO - Epoch(train) [160][300/314] lr: 5.0054e-02 eta: 2:21:16 time: 0.3437 data_time: 0.0445 memory: 9706 grad_norm: 1.3486 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.2125 loss: 0.2125 2022/08/05 17:46:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:46:04 - mmengine - INFO - Epoch(train) [160][314/314] lr: 5.0004e-02 eta: 2:21:16 time: 0.2908 data_time: 0.0359 memory: 9706 grad_norm: 1.4436 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1969 loss: 0.1969 2022/08/05 17:46:04 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/05 17:46:17 - mmengine - INFO - Epoch(val) [160][20/129] eta: 0:00:51 time: 0.4720 data_time: 0.2944 memory: 1867 2022/08/05 17:46:24 - mmengine - INFO - Epoch(val) [160][40/129] eta: 0:00:33 time: 0.3721 data_time: 0.1865 memory: 1867 2022/08/05 17:46:31 - mmengine - INFO - Epoch(val) [160][60/129] eta: 0:00:24 time: 0.3511 data_time: 0.1671 memory: 1867 2022/08/05 17:46:38 - mmengine - INFO - Epoch(val) [160][80/129] eta: 0:00:15 time: 0.3200 data_time: 0.1388 memory: 1867 2022/08/05 17:46:44 - mmengine - INFO - Epoch(val) [160][100/129] eta: 0:00:09 time: 0.3338 data_time: 0.1554 memory: 1867 2022/08/05 17:46:49 - mmengine - INFO - Epoch(val) [160][120/129] eta: 0:00:02 time: 0.2439 data_time: 0.0944 memory: 1867 2022/08/05 17:46:51 - mmengine - INFO - Epoch(val) [160][129/129] acc/top1: 0.8956 acc/top5: 0.9899 acc/mean1: 0.8955 2022/08/05 17:46:51 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_151.pth is removed 2022/08/05 17:46:54 - mmengine - INFO - The best checkpoint with 0.8956 acc/top1 at 161 epoch is saved to best_acc/top1_epoch_161.pth. 2022/08/05 17:47:03 - mmengine - INFO - Epoch(train) [161][20/314] lr: 4.9931e-02 eta: 2:21:04 time: 0.4788 data_time: 0.2055 memory: 9706 grad_norm: 1.3356 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2426 loss: 0.2426 2022/08/05 17:47:10 - mmengine - INFO - Epoch(train) [161][40/314] lr: 4.9859e-02 eta: 2:20:57 time: 0.3364 data_time: 0.0414 memory: 9706 grad_norm: 1.4104 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2590 loss: 0.2590 2022/08/05 17:47:17 - mmengine - INFO - Epoch(train) [161][60/314] lr: 4.9787e-02 eta: 2:20:50 time: 0.3408 data_time: 0.0456 memory: 9706 grad_norm: 1.2135 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2115 loss: 0.2115 2022/08/05 17:47:24 - mmengine - INFO - Epoch(train) [161][80/314] lr: 4.9715e-02 eta: 2:20:44 time: 0.3437 data_time: 0.0424 memory: 9706 grad_norm: 1.3414 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1707 loss: 0.1707 2022/08/05 17:47:30 - mmengine - INFO - Epoch(train) [161][100/314] lr: 4.9643e-02 eta: 2:20:37 time: 0.3422 data_time: 0.0460 memory: 9706 grad_norm: 1.3304 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2322 loss: 0.2322 2022/08/05 17:47:38 - mmengine - INFO - Epoch(train) [161][120/314] lr: 4.9571e-02 eta: 2:20:30 time: 0.3526 data_time: 0.0510 memory: 9706 grad_norm: 1.3169 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1892 loss: 0.1892 2022/08/05 17:47:45 - mmengine - INFO - Epoch(train) [161][140/314] lr: 4.9499e-02 eta: 2:20:24 time: 0.3556 data_time: 0.0495 memory: 9706 grad_norm: 1.1891 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1956 loss: 0.1956 2022/08/05 17:47:51 - mmengine - INFO - Epoch(train) [161][160/314] lr: 4.9427e-02 eta: 2:20:17 time: 0.3332 data_time: 0.0427 memory: 9706 grad_norm: 1.3131 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1781 loss: 0.1781 2022/08/05 17:47:58 - mmengine - INFO - Epoch(train) [161][180/314] lr: 4.9355e-02 eta: 2:20:10 time: 0.3458 data_time: 0.0416 memory: 9706 grad_norm: 1.2841 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2150 loss: 0.2150 2022/08/05 17:48:05 - mmengine - INFO - Epoch(train) [161][200/314] lr: 4.9283e-02 eta: 2:20:04 time: 0.3551 data_time: 0.0461 memory: 9706 grad_norm: 1.2860 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2013 loss: 0.2013 2022/08/05 17:48:12 - mmengine - INFO - Epoch(train) [161][220/314] lr: 4.9211e-02 eta: 2:19:57 time: 0.3366 data_time: 0.0401 memory: 9706 grad_norm: 1.2916 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1801 loss: 0.1801 2022/08/05 17:48:19 - mmengine - INFO - Epoch(train) [161][240/314] lr: 4.9140e-02 eta: 2:19:50 time: 0.3460 data_time: 0.0459 memory: 9706 grad_norm: 1.3101 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2079 loss: 0.2079 2022/08/05 17:48:26 - mmengine - INFO - Epoch(train) [161][260/314] lr: 4.9068e-02 eta: 2:19:44 time: 0.3408 data_time: 0.0415 memory: 9706 grad_norm: 1.3360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2525 loss: 0.2525 2022/08/05 17:48:33 - mmengine - INFO - Epoch(train) [161][280/314] lr: 4.8996e-02 eta: 2:19:37 time: 0.3471 data_time: 0.0498 memory: 9706 grad_norm: 1.2715 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2300 loss: 0.2300 2022/08/05 17:48:40 - mmengine - INFO - Epoch(train) [161][300/314] lr: 4.8924e-02 eta: 2:19:30 time: 0.3387 data_time: 0.0509 memory: 9706 grad_norm: 1.3726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2253 loss: 0.2253 2022/08/05 17:48:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:48:43 - mmengine - INFO - Epoch(train) [161][314/314] lr: 4.8874e-02 eta: 2:19:30 time: 0.2900 data_time: 0.0419 memory: 9706 grad_norm: 1.3572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1833 loss: 0.1833 2022/08/05 17:48:43 - mmengine - INFO - Saving checkpoint at 161 epochs 2022/08/05 17:48:55 - mmengine - INFO - Epoch(train) [162][20/314] lr: 4.8803e-02 eta: 2:19:18 time: 0.4687 data_time: 0.2038 memory: 9706 grad_norm: 1.2118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1468 loss: 0.1468 2022/08/05 17:49:02 - mmengine - INFO - Epoch(train) [162][40/314] lr: 4.8731e-02 eta: 2:19:11 time: 0.3383 data_time: 0.0459 memory: 9706 grad_norm: 1.2469 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2141 loss: 0.2141 2022/08/05 17:49:09 - mmengine - INFO - Epoch(train) [162][60/314] lr: 4.8659e-02 eta: 2:19:04 time: 0.3450 data_time: 0.0444 memory: 9706 grad_norm: 1.2002 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2588 loss: 0.2588 2022/08/05 17:49:16 - mmengine - INFO - Epoch(train) [162][80/314] lr: 4.8588e-02 eta: 2:18:58 time: 0.3477 data_time: 0.0434 memory: 9706 grad_norm: 1.3314 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1361 loss: 0.1361 2022/08/05 17:49:23 - mmengine - INFO - Epoch(train) [162][100/314] lr: 4.8516e-02 eta: 2:18:51 time: 0.3434 data_time: 0.0459 memory: 9706 grad_norm: 1.4251 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2124 loss: 0.2124 2022/08/05 17:49:30 - mmengine - INFO - Epoch(train) [162][120/314] lr: 4.8445e-02 eta: 2:18:45 time: 0.3640 data_time: 0.0467 memory: 9706 grad_norm: 1.4977 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2681 loss: 0.2681 2022/08/05 17:49:37 - mmengine - INFO - Epoch(train) [162][140/314] lr: 4.8374e-02 eta: 2:18:38 time: 0.3443 data_time: 0.0427 memory: 9706 grad_norm: 1.4264 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2587 loss: 0.2587 2022/08/05 17:49:44 - mmengine - INFO - Epoch(train) [162][160/314] lr: 4.8302e-02 eta: 2:18:31 time: 0.3475 data_time: 0.0433 memory: 9706 grad_norm: 1.3473 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2188 loss: 0.2188 2022/08/05 17:49:51 - mmengine - INFO - Epoch(train) [162][180/314] lr: 4.8231e-02 eta: 2:18:25 time: 0.3464 data_time: 0.0462 memory: 9706 grad_norm: 1.2680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2088 loss: 0.2088 2022/08/05 17:49:58 - mmengine - INFO - Epoch(train) [162][200/314] lr: 4.8160e-02 eta: 2:18:18 time: 0.3401 data_time: 0.0477 memory: 9706 grad_norm: 1.3165 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1580 loss: 0.1580 2022/08/05 17:50:05 - mmengine - INFO - Epoch(train) [162][220/314] lr: 4.8088e-02 eta: 2:18:11 time: 0.3480 data_time: 0.0447 memory: 9706 grad_norm: 1.2639 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2322 loss: 0.2322 2022/08/05 17:50:12 - mmengine - INFO - Epoch(train) [162][240/314] lr: 4.8017e-02 eta: 2:18:05 time: 0.3404 data_time: 0.0451 memory: 9706 grad_norm: 1.3660 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2219 loss: 0.2219 2022/08/05 17:50:19 - mmengine - INFO - Epoch(train) [162][260/314] lr: 4.7946e-02 eta: 2:17:58 time: 0.3485 data_time: 0.0582 memory: 9706 grad_norm: 1.3166 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1776 loss: 0.1776 2022/08/05 17:50:26 - mmengine - INFO - Epoch(train) [162][280/314] lr: 4.7875e-02 eta: 2:17:51 time: 0.3499 data_time: 0.0496 memory: 9706 grad_norm: 1.3668 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2325 loss: 0.2325 2022/08/05 17:50:32 - mmengine - INFO - Epoch(train) [162][300/314] lr: 4.7803e-02 eta: 2:17:45 time: 0.3373 data_time: 0.0421 memory: 9706 grad_norm: 1.3567 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1789 loss: 0.1789 2022/08/05 17:50:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:50:36 - mmengine - INFO - Epoch(train) [162][314/314] lr: 4.7754e-02 eta: 2:17:45 time: 0.3005 data_time: 0.0373 memory: 9706 grad_norm: 1.4144 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1602 loss: 0.1602 2022/08/05 17:50:36 - mmengine - INFO - Saving checkpoint at 162 epochs 2022/08/05 17:50:48 - mmengine - INFO - Epoch(train) [163][20/314] lr: 4.7683e-02 eta: 2:17:32 time: 0.4618 data_time: 0.1870 memory: 9706 grad_norm: 1.3058 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1809 loss: 0.1809 2022/08/05 17:50:55 - mmengine - INFO - Epoch(train) [163][40/314] lr: 4.7612e-02 eta: 2:17:25 time: 0.3560 data_time: 0.0453 memory: 9706 grad_norm: 1.3992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1854 loss: 0.1854 2022/08/05 17:51:02 - mmengine - INFO - Epoch(train) [163][60/314] lr: 4.7541e-02 eta: 2:17:19 time: 0.3315 data_time: 0.0408 memory: 9706 grad_norm: 1.3490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2637 loss: 0.2637 2022/08/05 17:51:09 - mmengine - INFO - Epoch(train) [163][80/314] lr: 4.7470e-02 eta: 2:17:12 time: 0.3505 data_time: 0.0605 memory: 9706 grad_norm: 1.3871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2203 loss: 0.2203 2022/08/05 17:51:16 - mmengine - INFO - Epoch(train) [163][100/314] lr: 4.7399e-02 eta: 2:17:05 time: 0.3508 data_time: 0.0444 memory: 9706 grad_norm: 1.4452 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2253 loss: 0.2253 2022/08/05 17:51:23 - mmengine - INFO - Epoch(train) [163][120/314] lr: 4.7328e-02 eta: 2:16:59 time: 0.3432 data_time: 0.0449 memory: 9706 grad_norm: 1.2295 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2319 loss: 0.2319 2022/08/05 17:51:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:51:30 - mmengine - INFO - Epoch(train) [163][140/314] lr: 4.7257e-02 eta: 2:16:52 time: 0.3430 data_time: 0.0419 memory: 9706 grad_norm: 1.3386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2046 loss: 0.2046 2022/08/05 17:51:37 - mmengine - INFO - Epoch(train) [163][160/314] lr: 4.7186e-02 eta: 2:16:45 time: 0.3507 data_time: 0.0459 memory: 9706 grad_norm: 1.3712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2749 loss: 0.2749 2022/08/05 17:51:44 - mmengine - INFO - Epoch(train) [163][180/314] lr: 4.7115e-02 eta: 2:16:39 time: 0.3457 data_time: 0.0413 memory: 9706 grad_norm: 1.2449 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1864 loss: 0.1864 2022/08/05 17:51:51 - mmengine - INFO - Epoch(train) [163][200/314] lr: 4.7045e-02 eta: 2:16:32 time: 0.3481 data_time: 0.0380 memory: 9706 grad_norm: 1.2897 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1446 loss: 0.1446 2022/08/05 17:51:57 - mmengine - INFO - Epoch(train) [163][220/314] lr: 4.6974e-02 eta: 2:16:25 time: 0.3426 data_time: 0.0399 memory: 9706 grad_norm: 1.3413 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1593 loss: 0.1593 2022/08/05 17:52:04 - mmengine - INFO - Epoch(train) [163][240/314] lr: 4.6903e-02 eta: 2:16:19 time: 0.3425 data_time: 0.0464 memory: 9706 grad_norm: 1.3326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1914 loss: 0.1914 2022/08/05 17:52:11 - mmengine - INFO - Epoch(train) [163][260/314] lr: 4.6833e-02 eta: 2:16:12 time: 0.3431 data_time: 0.0418 memory: 9706 grad_norm: 1.3062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2528 loss: 0.2528 2022/08/05 17:52:18 - mmengine - INFO - Epoch(train) [163][280/314] lr: 4.6762e-02 eta: 2:16:05 time: 0.3453 data_time: 0.0440 memory: 9706 grad_norm: 1.4132 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2225 loss: 0.2225 2022/08/05 17:52:25 - mmengine - INFO - Epoch(train) [163][300/314] lr: 4.6691e-02 eta: 2:15:59 time: 0.3448 data_time: 0.0406 memory: 9706 grad_norm: 1.3609 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2341 loss: 0.2341 2022/08/05 17:52:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:52:29 - mmengine - INFO - Epoch(train) [163][314/314] lr: 4.6642e-02 eta: 2:15:59 time: 0.2928 data_time: 0.0368 memory: 9706 grad_norm: 1.4446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2328 loss: 0.2328 2022/08/05 17:52:29 - mmengine - INFO - Saving checkpoint at 163 epochs 2022/08/05 17:52:41 - mmengine - INFO - Epoch(train) [164][20/314] lr: 4.6572e-02 eta: 2:15:46 time: 0.4618 data_time: 0.1803 memory: 9706 grad_norm: 1.2856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1988 loss: 0.1988 2022/08/05 17:52:48 - mmengine - INFO - Epoch(train) [164][40/314] lr: 4.6501e-02 eta: 2:15:40 time: 0.3613 data_time: 0.0570 memory: 9706 grad_norm: 1.2730 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1856 loss: 0.1856 2022/08/05 17:52:55 - mmengine - INFO - Epoch(train) [164][60/314] lr: 4.6431e-02 eta: 2:15:33 time: 0.3501 data_time: 0.0435 memory: 9706 grad_norm: 1.2913 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1820 loss: 0.1820 2022/08/05 17:53:02 - mmengine - INFO - Epoch(train) [164][80/314] lr: 4.6360e-02 eta: 2:15:26 time: 0.3403 data_time: 0.0436 memory: 9706 grad_norm: 1.3604 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1896 loss: 0.1896 2022/08/05 17:53:09 - mmengine - INFO - Epoch(train) [164][100/314] lr: 4.6290e-02 eta: 2:15:20 time: 0.3544 data_time: 0.0459 memory: 9706 grad_norm: 1.2963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2141 loss: 0.2141 2022/08/05 17:53:16 - mmengine - INFO - Epoch(train) [164][120/314] lr: 4.6220e-02 eta: 2:15:13 time: 0.3404 data_time: 0.0405 memory: 9706 grad_norm: 1.3514 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1642 loss: 0.1642 2022/08/05 17:53:23 - mmengine - INFO - Epoch(train) [164][140/314] lr: 4.6149e-02 eta: 2:15:06 time: 0.3432 data_time: 0.0438 memory: 9706 grad_norm: 1.4536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2083 loss: 0.2083 2022/08/05 17:53:30 - mmengine - INFO - Epoch(train) [164][160/314] lr: 4.6079e-02 eta: 2:15:00 time: 0.3422 data_time: 0.0455 memory: 9706 grad_norm: 1.4363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1880 loss: 0.1880 2022/08/05 17:53:36 - mmengine - INFO - Epoch(train) [164][180/314] lr: 4.6009e-02 eta: 2:14:53 time: 0.3385 data_time: 0.0428 memory: 9706 grad_norm: 1.3098 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1887 loss: 0.1887 2022/08/05 17:53:43 - mmengine - INFO - Epoch(train) [164][200/314] lr: 4.5939e-02 eta: 2:14:46 time: 0.3453 data_time: 0.0546 memory: 9706 grad_norm: 1.3148 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2105 loss: 0.2105 2022/08/05 17:53:50 - mmengine - INFO - Epoch(train) [164][220/314] lr: 4.5869e-02 eta: 2:14:40 time: 0.3546 data_time: 0.0448 memory: 9706 grad_norm: 1.3325 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2064 loss: 0.2064 2022/08/05 17:53:57 - mmengine - INFO - Epoch(train) [164][240/314] lr: 4.5799e-02 eta: 2:14:33 time: 0.3363 data_time: 0.0435 memory: 9706 grad_norm: 1.4204 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1761 loss: 0.1761 2022/08/05 17:54:04 - mmengine - INFO - Epoch(train) [164][260/314] lr: 4.5729e-02 eta: 2:14:26 time: 0.3424 data_time: 0.0536 memory: 9706 grad_norm: 1.3112 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2005 loss: 0.2005 2022/08/05 17:54:11 - mmengine - INFO - Epoch(train) [164][280/314] lr: 4.5659e-02 eta: 2:14:20 time: 0.3494 data_time: 0.0449 memory: 9706 grad_norm: 1.3991 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2055 loss: 0.2055 2022/08/05 17:54:18 - mmengine - INFO - Epoch(train) [164][300/314] lr: 4.5589e-02 eta: 2:14:13 time: 0.3378 data_time: 0.0417 memory: 9706 grad_norm: 1.4772 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2716 loss: 0.2716 2022/08/05 17:54:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:54:21 - mmengine - INFO - Epoch(train) [164][314/314] lr: 4.5540e-02 eta: 2:14:13 time: 0.2900 data_time: 0.0383 memory: 9706 grad_norm: 1.4474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2478 loss: 0.2478 2022/08/05 17:54:22 - mmengine - INFO - Saving checkpoint at 164 epochs 2022/08/05 17:54:34 - mmengine - INFO - Epoch(train) [165][20/314] lr: 4.5470e-02 eta: 2:14:00 time: 0.4740 data_time: 0.1952 memory: 9706 grad_norm: 1.3536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2219 loss: 0.2219 2022/08/05 17:54:41 - mmengine - INFO - Epoch(train) [165][40/314] lr: 4.5400e-02 eta: 2:13:54 time: 0.3478 data_time: 0.0453 memory: 9706 grad_norm: 1.3008 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.2050 loss: 0.2050 2022/08/05 17:54:48 - mmengine - INFO - Epoch(train) [165][60/314] lr: 4.5330e-02 eta: 2:13:47 time: 0.3457 data_time: 0.0510 memory: 9706 grad_norm: 1.3716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2221 loss: 0.2221 2022/08/05 17:54:55 - mmengine - INFO - Epoch(train) [165][80/314] lr: 4.5260e-02 eta: 2:13:40 time: 0.3477 data_time: 0.0463 memory: 9706 grad_norm: 1.3682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1715 loss: 0.1715 2022/08/05 17:55:01 - mmengine - INFO - Epoch(train) [165][100/314] lr: 4.5190e-02 eta: 2:13:34 time: 0.3438 data_time: 0.0433 memory: 9706 grad_norm: 1.2871 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1794 loss: 0.1794 2022/08/05 17:55:08 - mmengine - INFO - Epoch(train) [165][120/314] lr: 4.5121e-02 eta: 2:13:27 time: 0.3532 data_time: 0.0586 memory: 9706 grad_norm: 1.4135 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1977 loss: 0.1977 2022/08/05 17:55:15 - mmengine - INFO - Epoch(train) [165][140/314] lr: 4.5051e-02 eta: 2:13:20 time: 0.3423 data_time: 0.0425 memory: 9706 grad_norm: 1.3512 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1808 loss: 0.1808 2022/08/05 17:55:22 - mmengine - INFO - Epoch(train) [165][160/314] lr: 4.4981e-02 eta: 2:13:14 time: 0.3447 data_time: 0.0425 memory: 9706 grad_norm: 1.3049 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2245 loss: 0.2245 2022/08/05 17:55:29 - mmengine - INFO - Epoch(train) [165][180/314] lr: 4.4912e-02 eta: 2:13:07 time: 0.3375 data_time: 0.0403 memory: 9706 grad_norm: 1.3285 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2064 loss: 0.2064 2022/08/05 17:55:36 - mmengine - INFO - Epoch(train) [165][200/314] lr: 4.4842e-02 eta: 2:13:00 time: 0.3529 data_time: 0.0444 memory: 9706 grad_norm: 1.3244 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1901 loss: 0.1901 2022/08/05 17:55:43 - mmengine - INFO - Epoch(train) [165][220/314] lr: 4.4773e-02 eta: 2:12:54 time: 0.3413 data_time: 0.0435 memory: 9706 grad_norm: 1.4041 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1996 loss: 0.1996 2022/08/05 17:55:50 - mmengine - INFO - Epoch(train) [165][240/314] lr: 4.4703e-02 eta: 2:12:47 time: 0.3445 data_time: 0.0426 memory: 9706 grad_norm: 1.2821 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2587 loss: 0.2587 2022/08/05 17:55:57 - mmengine - INFO - Epoch(train) [165][260/314] lr: 4.4634e-02 eta: 2:12:40 time: 0.3481 data_time: 0.0459 memory: 9706 grad_norm: 1.3669 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1797 loss: 0.1797 2022/08/05 17:56:04 - mmengine - INFO - Epoch(train) [165][280/314] lr: 4.4564e-02 eta: 2:12:34 time: 0.3386 data_time: 0.0430 memory: 9706 grad_norm: 1.3781 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2309 loss: 0.2309 2022/08/05 17:56:11 - mmengine - INFO - Epoch(train) [165][300/314] lr: 4.4495e-02 eta: 2:12:27 time: 0.3500 data_time: 0.0557 memory: 9706 grad_norm: 1.3788 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2331 loss: 0.2331 2022/08/05 17:56:14 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:56:14 - mmengine - INFO - Epoch(train) [165][314/314] lr: 4.4446e-02 eta: 2:12:27 time: 0.2935 data_time: 0.0357 memory: 9706 grad_norm: 1.4725 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1609 loss: 0.1609 2022/08/05 17:56:14 - mmengine - INFO - Saving checkpoint at 165 epochs 2022/08/05 17:56:26 - mmengine - INFO - Epoch(train) [166][20/314] lr: 4.4377e-02 eta: 2:12:14 time: 0.4446 data_time: 0.1635 memory: 9706 grad_norm: 1.4141 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1972 loss: 0.1972 2022/08/05 17:56:33 - mmengine - INFO - Epoch(train) [166][40/314] lr: 4.4308e-02 eta: 2:12:08 time: 0.3441 data_time: 0.0412 memory: 9706 grad_norm: 1.3151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2465 loss: 0.2465 2022/08/05 17:56:40 - mmengine - INFO - Epoch(train) [166][60/314] lr: 4.4239e-02 eta: 2:12:01 time: 0.3449 data_time: 0.0391 memory: 9706 grad_norm: 1.3553 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2146 loss: 0.2146 2022/08/05 17:56:47 - mmengine - INFO - Epoch(train) [166][80/314] lr: 4.4169e-02 eta: 2:11:54 time: 0.3396 data_time: 0.0407 memory: 9706 grad_norm: 1.3032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1723 loss: 0.1723 2022/08/05 17:56:54 - mmengine - INFO - Epoch(train) [166][100/314] lr: 4.4100e-02 eta: 2:11:48 time: 0.3523 data_time: 0.0423 memory: 9706 grad_norm: 1.3012 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2379 loss: 0.2379 2022/08/05 17:57:00 - mmengine - INFO - Epoch(train) [166][120/314] lr: 4.4031e-02 eta: 2:11:41 time: 0.3398 data_time: 0.0448 memory: 9706 grad_norm: 1.3153 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2223 loss: 0.2223 2022/08/05 17:57:08 - mmengine - INFO - Epoch(train) [166][140/314] lr: 4.3962e-02 eta: 2:11:34 time: 0.3525 data_time: 0.0427 memory: 9706 grad_norm: 1.3597 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1841 loss: 0.1841 2022/08/05 17:57:14 - mmengine - INFO - Epoch(train) [166][160/314] lr: 4.3893e-02 eta: 2:11:28 time: 0.3421 data_time: 0.0446 memory: 9706 grad_norm: 1.3519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1751 loss: 0.1751 2022/08/05 17:57:21 - mmengine - INFO - Epoch(train) [166][180/314] lr: 4.3824e-02 eta: 2:11:21 time: 0.3453 data_time: 0.0503 memory: 9706 grad_norm: 1.5157 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2025 loss: 0.2025 2022/08/05 17:57:25 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:57:28 - mmengine - INFO - Epoch(train) [166][200/314] lr: 4.3755e-02 eta: 2:11:14 time: 0.3458 data_time: 0.0433 memory: 9706 grad_norm: 1.3487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1938 loss: 0.1938 2022/08/05 17:57:35 - mmengine - INFO - Epoch(train) [166][220/314] lr: 4.3686e-02 eta: 2:11:08 time: 0.3535 data_time: 0.0532 memory: 9706 grad_norm: 1.3056 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2422 loss: 0.2422 2022/08/05 17:57:42 - mmengine - INFO - Epoch(train) [166][240/314] lr: 4.3617e-02 eta: 2:11:01 time: 0.3378 data_time: 0.0433 memory: 9706 grad_norm: 1.3092 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2893 loss: 0.2893 2022/08/05 17:57:49 - mmengine - INFO - Epoch(train) [166][260/314] lr: 4.3548e-02 eta: 2:10:54 time: 0.3500 data_time: 0.0424 memory: 9706 grad_norm: 1.3417 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2039 loss: 0.2039 2022/08/05 17:57:56 - mmengine - INFO - Epoch(train) [166][280/314] lr: 4.3480e-02 eta: 2:10:48 time: 0.3462 data_time: 0.0449 memory: 9706 grad_norm: 1.3850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2594 loss: 0.2594 2022/08/05 17:58:03 - mmengine - INFO - Epoch(train) [166][300/314] lr: 4.3411e-02 eta: 2:10:41 time: 0.3423 data_time: 0.0477 memory: 9706 grad_norm: 1.3546 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1880 loss: 0.1880 2022/08/05 17:58:07 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:58:07 - mmengine - INFO - Epoch(train) [166][314/314] lr: 4.3363e-02 eta: 2:10:41 time: 0.2954 data_time: 0.0378 memory: 9706 grad_norm: 1.6016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.3222 loss: 0.3222 2022/08/05 17:58:07 - mmengine - INFO - Saving checkpoint at 166 epochs 2022/08/05 17:58:19 - mmengine - INFO - Epoch(train) [167][20/314] lr: 4.3294e-02 eta: 2:10:29 time: 0.4776 data_time: 0.1972 memory: 9706 grad_norm: 1.3794 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1689 loss: 0.1689 2022/08/05 17:58:26 - mmengine - INFO - Epoch(train) [167][40/314] lr: 4.3225e-02 eta: 2:10:22 time: 0.3422 data_time: 0.0416 memory: 9706 grad_norm: 1.3059 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1795 loss: 0.1795 2022/08/05 17:58:33 - mmengine - INFO - Epoch(train) [167][60/314] lr: 4.3157e-02 eta: 2:10:15 time: 0.3356 data_time: 0.0415 memory: 9706 grad_norm: 1.2896 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1656 loss: 0.1656 2022/08/05 17:58:40 - mmengine - INFO - Epoch(train) [167][80/314] lr: 4.3088e-02 eta: 2:10:09 time: 0.3478 data_time: 0.0445 memory: 9706 grad_norm: 1.2603 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1474 loss: 0.1474 2022/08/05 17:58:47 - mmengine - INFO - Epoch(train) [167][100/314] lr: 4.3020e-02 eta: 2:10:02 time: 0.3465 data_time: 0.0387 memory: 9706 grad_norm: 1.3560 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1860 loss: 0.1860 2022/08/05 17:58:53 - mmengine - INFO - Epoch(train) [167][120/314] lr: 4.2951e-02 eta: 2:09:55 time: 0.3422 data_time: 0.0411 memory: 9706 grad_norm: 1.3957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2485 loss: 0.2485 2022/08/05 17:59:00 - mmengine - INFO - Epoch(train) [167][140/314] lr: 4.2883e-02 eta: 2:09:49 time: 0.3449 data_time: 0.0428 memory: 9706 grad_norm: 1.3132 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1865 loss: 0.1865 2022/08/05 17:59:07 - mmengine - INFO - Epoch(train) [167][160/314] lr: 4.2814e-02 eta: 2:09:42 time: 0.3497 data_time: 0.0507 memory: 9706 grad_norm: 1.3614 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1803 loss: 0.1803 2022/08/05 17:59:14 - mmengine - INFO - Epoch(train) [167][180/314] lr: 4.2746e-02 eta: 2:09:35 time: 0.3361 data_time: 0.0448 memory: 9706 grad_norm: 1.3063 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2488 loss: 0.2488 2022/08/05 17:59:21 - mmengine - INFO - Epoch(train) [167][200/314] lr: 4.2678e-02 eta: 2:09:29 time: 0.3531 data_time: 0.0436 memory: 9706 grad_norm: 1.3719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1522 loss: 0.1522 2022/08/05 17:59:28 - mmengine - INFO - Epoch(train) [167][220/314] lr: 4.2609e-02 eta: 2:09:22 time: 0.3436 data_time: 0.0443 memory: 9706 grad_norm: 1.3281 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2034 loss: 0.2034 2022/08/05 17:59:35 - mmengine - INFO - Epoch(train) [167][240/314] lr: 4.2541e-02 eta: 2:09:15 time: 0.3405 data_time: 0.0448 memory: 9706 grad_norm: 1.2712 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1573 loss: 0.1573 2022/08/05 17:59:42 - mmengine - INFO - Epoch(train) [167][260/314] lr: 4.2473e-02 eta: 2:09:08 time: 0.3449 data_time: 0.0422 memory: 9706 grad_norm: 1.3052 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1974 loss: 0.1974 2022/08/05 17:59:49 - mmengine - INFO - Epoch(train) [167][280/314] lr: 4.2405e-02 eta: 2:09:02 time: 0.3464 data_time: 0.0521 memory: 9706 grad_norm: 1.4796 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2431 loss: 0.2431 2022/08/05 17:59:55 - mmengine - INFO - Epoch(train) [167][300/314] lr: 4.2337e-02 eta: 2:08:55 time: 0.3391 data_time: 0.0449 memory: 9706 grad_norm: 1.2904 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2606 loss: 0.2606 2022/08/05 17:59:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 17:59:59 - mmengine - INFO - Epoch(train) [167][314/314] lr: 4.2289e-02 eta: 2:08:55 time: 0.2910 data_time: 0.0386 memory: 9706 grad_norm: 1.4704 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2528 loss: 0.2528 2022/08/05 17:59:59 - mmengine - INFO - Saving checkpoint at 167 epochs 2022/08/05 18:00:13 - mmengine - INFO - Epoch(train) [168][20/314] lr: 4.2221e-02 eta: 2:08:43 time: 0.5274 data_time: 0.1900 memory: 9706 grad_norm: 1.4223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1866 loss: 0.1866 2022/08/05 18:00:20 - mmengine - INFO - Epoch(train) [168][40/314] lr: 4.2153e-02 eta: 2:08:37 time: 0.3472 data_time: 0.0468 memory: 9706 grad_norm: 1.2727 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2039 loss: 0.2039 2022/08/05 18:00:27 - mmengine - INFO - Epoch(train) [168][60/314] lr: 4.2085e-02 eta: 2:08:30 time: 0.3551 data_time: 0.0498 memory: 9706 grad_norm: 1.4054 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2306 loss: 0.2306 2022/08/05 18:00:34 - mmengine - INFO - Epoch(train) [168][80/314] lr: 4.2017e-02 eta: 2:08:23 time: 0.3407 data_time: 0.0484 memory: 9706 grad_norm: 1.3072 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1876 loss: 0.1876 2022/08/05 18:00:40 - mmengine - INFO - Epoch(train) [168][100/314] lr: 4.1949e-02 eta: 2:08:17 time: 0.3396 data_time: 0.0515 memory: 9706 grad_norm: 1.2848 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1372 loss: 0.1372 2022/08/05 18:00:47 - mmengine - INFO - Epoch(train) [168][120/314] lr: 4.1881e-02 eta: 2:08:10 time: 0.3541 data_time: 0.0514 memory: 9706 grad_norm: 1.3682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1818 loss: 0.1818 2022/08/05 18:00:54 - mmengine - INFO - Epoch(train) [168][140/314] lr: 4.1813e-02 eta: 2:08:03 time: 0.3485 data_time: 0.0423 memory: 9706 grad_norm: 1.4407 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2569 loss: 0.2569 2022/08/05 18:01:01 - mmengine - INFO - Epoch(train) [168][160/314] lr: 4.1745e-02 eta: 2:07:57 time: 0.3393 data_time: 0.0429 memory: 9706 grad_norm: 1.3896 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2359 loss: 0.2359 2022/08/05 18:01:08 - mmengine - INFO - Epoch(train) [168][180/314] lr: 4.1678e-02 eta: 2:07:50 time: 0.3429 data_time: 0.0435 memory: 9706 grad_norm: 1.5102 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1838 loss: 0.1838 2022/08/05 18:01:15 - mmengine - INFO - Epoch(train) [168][200/314] lr: 4.1610e-02 eta: 2:07:43 time: 0.3427 data_time: 0.0473 memory: 9706 grad_norm: 1.3138 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1633 loss: 0.1633 2022/08/05 18:01:22 - mmengine - INFO - Epoch(train) [168][220/314] lr: 4.1542e-02 eta: 2:07:36 time: 0.3446 data_time: 0.0466 memory: 9706 grad_norm: 1.4213 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2422 loss: 0.2422 2022/08/05 18:01:29 - mmengine - INFO - Epoch(train) [168][240/314] lr: 4.1475e-02 eta: 2:07:30 time: 0.3417 data_time: 0.0436 memory: 9706 grad_norm: 1.4049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2165 loss: 0.2165 2022/08/05 18:01:36 - mmengine - INFO - Epoch(train) [168][260/314] lr: 4.1407e-02 eta: 2:07:23 time: 0.3494 data_time: 0.0424 memory: 9706 grad_norm: 1.2336 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2006 loss: 0.2006 2022/08/05 18:01:43 - mmengine - INFO - Epoch(train) [168][280/314] lr: 4.1340e-02 eta: 2:07:16 time: 0.3458 data_time: 0.0421 memory: 9706 grad_norm: 1.3305 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2340 loss: 0.2340 2022/08/05 18:01:49 - mmengine - INFO - Epoch(train) [168][300/314] lr: 4.1272e-02 eta: 2:07:10 time: 0.3409 data_time: 0.0404 memory: 9706 grad_norm: 1.4677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2186 loss: 0.2186 2022/08/05 18:01:53 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:01:53 - mmengine - INFO - Epoch(train) [168][314/314] lr: 4.1225e-02 eta: 2:07:10 time: 0.2906 data_time: 0.0390 memory: 9706 grad_norm: 1.5233 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.2470 loss: 0.2470 2022/08/05 18:01:53 - mmengine - INFO - Saving checkpoint at 168 epochs 2022/08/05 18:02:05 - mmengine - INFO - Epoch(train) [169][20/314] lr: 4.1157e-02 eta: 2:06:57 time: 0.4747 data_time: 0.1920 memory: 9706 grad_norm: 1.4816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2319 loss: 0.2319 2022/08/05 18:02:12 - mmengine - INFO - Epoch(train) [169][40/314] lr: 4.1090e-02 eta: 2:06:51 time: 0.3440 data_time: 0.0401 memory: 9706 grad_norm: 1.3859 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2250 loss: 0.2250 2022/08/05 18:02:19 - mmengine - INFO - Epoch(train) [169][60/314] lr: 4.1023e-02 eta: 2:06:44 time: 0.3443 data_time: 0.0454 memory: 9706 grad_norm: 1.4473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2317 loss: 0.2317 2022/08/05 18:02:26 - mmengine - INFO - Epoch(train) [169][80/314] lr: 4.0955e-02 eta: 2:06:37 time: 0.3458 data_time: 0.0423 memory: 9706 grad_norm: 1.4141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2223 loss: 0.2223 2022/08/05 18:02:33 - mmengine - INFO - Epoch(train) [169][100/314] lr: 4.0888e-02 eta: 2:06:31 time: 0.3396 data_time: 0.0423 memory: 9706 grad_norm: 1.3365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1752 loss: 0.1752 2022/08/05 18:02:40 - mmengine - INFO - Epoch(train) [169][120/314] lr: 4.0821e-02 eta: 2:06:24 time: 0.3503 data_time: 0.0507 memory: 9706 grad_norm: 1.3466 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2176 loss: 0.2176 2022/08/05 18:02:47 - mmengine - INFO - Epoch(train) [169][140/314] lr: 4.0754e-02 eta: 2:06:17 time: 0.3547 data_time: 0.0475 memory: 9706 grad_norm: 1.4145 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2446 loss: 0.2446 2022/08/05 18:02:54 - mmengine - INFO - Epoch(train) [169][160/314] lr: 4.0687e-02 eta: 2:06:11 time: 0.3398 data_time: 0.0502 memory: 9706 grad_norm: 1.3362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1934 loss: 0.1934 2022/08/05 18:03:01 - mmengine - INFO - Epoch(train) [169][180/314] lr: 4.0619e-02 eta: 2:06:04 time: 0.3496 data_time: 0.0416 memory: 9706 grad_norm: 1.3843 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1735 loss: 0.1735 2022/08/05 18:03:08 - mmengine - INFO - Epoch(train) [169][200/314] lr: 4.0552e-02 eta: 2:05:57 time: 0.3445 data_time: 0.0420 memory: 9706 grad_norm: 1.2980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1923 loss: 0.1923 2022/08/05 18:03:15 - mmengine - INFO - Epoch(train) [169][220/314] lr: 4.0485e-02 eta: 2:05:51 time: 0.3502 data_time: 0.0498 memory: 9706 grad_norm: 1.3893 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2607 loss: 0.2607 2022/08/05 18:03:22 - mmengine - INFO - Epoch(train) [169][240/314] lr: 4.0418e-02 eta: 2:05:44 time: 0.3544 data_time: 0.0453 memory: 9706 grad_norm: 1.3419 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1832 loss: 0.1832 2022/08/05 18:03:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:03:29 - mmengine - INFO - Epoch(train) [169][260/314] lr: 4.0351e-02 eta: 2:05:37 time: 0.3437 data_time: 0.0439 memory: 9706 grad_norm: 1.3156 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1387 loss: 0.1387 2022/08/05 18:03:35 - mmengine - INFO - Epoch(train) [169][280/314] lr: 4.0285e-02 eta: 2:05:31 time: 0.3477 data_time: 0.0468 memory: 9706 grad_norm: 1.2664 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1670 loss: 0.1670 2022/08/05 18:03:42 - mmengine - INFO - Epoch(train) [169][300/314] lr: 4.0218e-02 eta: 2:05:24 time: 0.3464 data_time: 0.0477 memory: 9706 grad_norm: 1.3816 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2318 loss: 0.2318 2022/08/05 18:03:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:03:46 - mmengine - INFO - Epoch(train) [169][314/314] lr: 4.0171e-02 eta: 2:05:24 time: 0.2954 data_time: 0.0368 memory: 9706 grad_norm: 1.3892 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2045 loss: 0.2045 2022/08/05 18:03:46 - mmengine - INFO - Saving checkpoint at 169 epochs 2022/08/05 18:03:58 - mmengine - INFO - Epoch(train) [170][20/314] lr: 4.0104e-02 eta: 2:05:12 time: 0.4616 data_time: 0.1751 memory: 9706 grad_norm: 1.4156 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2281 loss: 0.2281 2022/08/05 18:04:05 - mmengine - INFO - Epoch(train) [170][40/314] lr: 4.0037e-02 eta: 2:05:05 time: 0.3378 data_time: 0.0418 memory: 9706 grad_norm: 1.3809 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2195 loss: 0.2195 2022/08/05 18:04:12 - mmengine - INFO - Epoch(train) [170][60/314] lr: 3.9971e-02 eta: 2:04:58 time: 0.3479 data_time: 0.0508 memory: 9706 grad_norm: 1.4566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2019 loss: 0.2019 2022/08/05 18:04:19 - mmengine - INFO - Epoch(train) [170][80/314] lr: 3.9904e-02 eta: 2:04:52 time: 0.3483 data_time: 0.0526 memory: 9706 grad_norm: 1.2347 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1819 loss: 0.1819 2022/08/05 18:04:26 - mmengine - INFO - Epoch(train) [170][100/314] lr: 3.9837e-02 eta: 2:04:45 time: 0.3418 data_time: 0.0425 memory: 9706 grad_norm: 1.3858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1727 loss: 0.1727 2022/08/05 18:04:33 - mmengine - INFO - Epoch(train) [170][120/314] lr: 3.9771e-02 eta: 2:04:38 time: 0.3528 data_time: 0.0445 memory: 9706 grad_norm: 1.4224 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1808 loss: 0.1808 2022/08/05 18:04:40 - mmengine - INFO - Epoch(train) [170][140/314] lr: 3.9704e-02 eta: 2:04:32 time: 0.3500 data_time: 0.0435 memory: 9706 grad_norm: 1.3505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1793 loss: 0.1793 2022/08/05 18:04:47 - mmengine - INFO - Epoch(train) [170][160/314] lr: 3.9638e-02 eta: 2:04:25 time: 0.3446 data_time: 0.0403 memory: 9706 grad_norm: 1.4416 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2137 loss: 0.2137 2022/08/05 18:04:54 - mmengine - INFO - Epoch(train) [170][180/314] lr: 3.9571e-02 eta: 2:04:18 time: 0.3431 data_time: 0.0403 memory: 9706 grad_norm: 1.2760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1216 loss: 0.1216 2022/08/05 18:05:00 - mmengine - INFO - Epoch(train) [170][200/314] lr: 3.9505e-02 eta: 2:04:12 time: 0.3379 data_time: 0.0444 memory: 9706 grad_norm: 1.3069 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1907 loss: 0.1907 2022/08/05 18:05:07 - mmengine - INFO - Epoch(train) [170][220/314] lr: 3.9439e-02 eta: 2:04:05 time: 0.3513 data_time: 0.0410 memory: 9706 grad_norm: 1.4440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1807 loss: 0.1807 2022/08/05 18:05:14 - mmengine - INFO - Epoch(train) [170][240/314] lr: 3.9372e-02 eta: 2:03:58 time: 0.3403 data_time: 0.0411 memory: 9706 grad_norm: 1.4357 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2253 loss: 0.2253 2022/08/05 18:05:21 - mmengine - INFO - Epoch(train) [170][260/314] lr: 3.9306e-02 eta: 2:03:52 time: 0.3466 data_time: 0.0494 memory: 9706 grad_norm: 1.3721 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1906 loss: 0.1906 2022/08/05 18:05:28 - mmengine - INFO - Epoch(train) [170][280/314] lr: 3.9240e-02 eta: 2:03:45 time: 0.3482 data_time: 0.0447 memory: 9706 grad_norm: 1.3744 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2158 loss: 0.2158 2022/08/05 18:05:35 - mmengine - INFO - Epoch(train) [170][300/314] lr: 3.9173e-02 eta: 2:03:38 time: 0.3412 data_time: 0.0424 memory: 9706 grad_norm: 1.3821 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1986 loss: 0.1986 2022/08/05 18:05:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:05:39 - mmengine - INFO - Epoch(train) [170][314/314] lr: 3.9127e-02 eta: 2:03:38 time: 0.2966 data_time: 0.0358 memory: 9706 grad_norm: 1.4935 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.1641 loss: 0.1641 2022/08/05 18:05:39 - mmengine - INFO - Saving checkpoint at 170 epochs 2022/08/05 18:05:51 - mmengine - INFO - Epoch(val) [170][20/129] eta: 0:00:53 time: 0.4951 data_time: 0.3168 memory: 1867 2022/08/05 18:05:58 - mmengine - INFO - Epoch(val) [170][40/129] eta: 0:00:27 time: 0.3101 data_time: 0.1314 memory: 1867 2022/08/05 18:06:05 - mmengine - INFO - Epoch(val) [170][60/129] eta: 0:00:24 time: 0.3515 data_time: 0.1761 memory: 1867 2022/08/05 18:06:11 - mmengine - INFO - Epoch(val) [170][80/129] eta: 0:00:15 time: 0.3138 data_time: 0.1320 memory: 1867 2022/08/05 18:06:18 - mmengine - INFO - Epoch(val) [170][100/129] eta: 0:00:10 time: 0.3485 data_time: 0.1617 memory: 1867 2022/08/05 18:06:23 - mmengine - INFO - Epoch(val) [170][120/129] eta: 0:00:02 time: 0.2648 data_time: 0.1119 memory: 1867 2022/08/05 18:06:25 - mmengine - INFO - Epoch(val) [170][129/129] acc/top1: 0.8986 acc/top5: 0.9907 acc/mean1: 0.8985 2022/08/05 18:06:25 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_161.pth is removed 2022/08/05 18:06:28 - mmengine - INFO - The best checkpoint with 0.8986 acc/top1 at 171 epoch is saved to best_acc/top1_epoch_171.pth. 2022/08/05 18:06:37 - mmengine - INFO - Epoch(train) [171][20/314] lr: 3.9061e-02 eta: 2:03:26 time: 0.4799 data_time: 0.1991 memory: 9706 grad_norm: 1.3504 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1359 loss: 0.1359 2022/08/05 18:06:44 - mmengine - INFO - Epoch(train) [171][40/314] lr: 3.8995e-02 eta: 2:03:19 time: 0.3325 data_time: 0.0441 memory: 9706 grad_norm: 1.3124 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1351 loss: 0.1351 2022/08/05 18:06:51 - mmengine - INFO - Epoch(train) [171][60/314] lr: 3.8929e-02 eta: 2:03:13 time: 0.3559 data_time: 0.0466 memory: 9706 grad_norm: 1.3363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1807 loss: 0.1807 2022/08/05 18:06:58 - mmengine - INFO - Epoch(train) [171][80/314] lr: 3.8863e-02 eta: 2:03:06 time: 0.3463 data_time: 0.0447 memory: 9706 grad_norm: 1.2556 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1620 loss: 0.1620 2022/08/05 18:07:05 - mmengine - INFO - Epoch(train) [171][100/314] lr: 3.8797e-02 eta: 2:02:59 time: 0.3429 data_time: 0.0436 memory: 9706 grad_norm: 1.3161 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1767 loss: 0.1767 2022/08/05 18:07:12 - mmengine - INFO - Epoch(train) [171][120/314] lr: 3.8731e-02 eta: 2:02:53 time: 0.3523 data_time: 0.0419 memory: 9706 grad_norm: 1.2622 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1395 loss: 0.1395 2022/08/05 18:07:19 - mmengine - INFO - Epoch(train) [171][140/314] lr: 3.8665e-02 eta: 2:02:46 time: 0.3441 data_time: 0.0446 memory: 9706 grad_norm: 1.2493 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1683 loss: 0.1683 2022/08/05 18:07:26 - mmengine - INFO - Epoch(train) [171][160/314] lr: 3.8599e-02 eta: 2:02:39 time: 0.3394 data_time: 0.0442 memory: 9706 grad_norm: 1.3224 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1861 loss: 0.1861 2022/08/05 18:07:33 - mmengine - INFO - Epoch(train) [171][180/314] lr: 3.8534e-02 eta: 2:02:32 time: 0.3454 data_time: 0.0428 memory: 9706 grad_norm: 1.3616 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1860 loss: 0.1860 2022/08/05 18:07:40 - mmengine - INFO - Epoch(train) [171][200/314] lr: 3.8468e-02 eta: 2:02:26 time: 0.3473 data_time: 0.0558 memory: 9706 grad_norm: 1.4270 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1946 loss: 0.1946 2022/08/05 18:07:47 - mmengine - INFO - Epoch(train) [171][220/314] lr: 3.8402e-02 eta: 2:02:19 time: 0.3554 data_time: 0.0456 memory: 9706 grad_norm: 1.3804 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1768 loss: 0.1768 2022/08/05 18:07:53 - mmengine - INFO - Epoch(train) [171][240/314] lr: 3.8336e-02 eta: 2:02:12 time: 0.3342 data_time: 0.0437 memory: 9706 grad_norm: 1.4421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2186 loss: 0.2186 2022/08/05 18:08:00 - mmengine - INFO - Epoch(train) [171][260/314] lr: 3.8271e-02 eta: 2:02:06 time: 0.3445 data_time: 0.0456 memory: 9706 grad_norm: 1.2893 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1687 loss: 0.1687 2022/08/05 18:08:07 - mmengine - INFO - Epoch(train) [171][280/314] lr: 3.8205e-02 eta: 2:01:59 time: 0.3539 data_time: 0.0447 memory: 9706 grad_norm: 1.3583 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2349 loss: 0.2349 2022/08/05 18:08:14 - mmengine - INFO - Epoch(train) [171][300/314] lr: 3.8140e-02 eta: 2:01:52 time: 0.3355 data_time: 0.0410 memory: 9706 grad_norm: 1.4711 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2241 loss: 0.2241 2022/08/05 18:08:18 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:08:18 - mmengine - INFO - Epoch(train) [171][314/314] lr: 3.8094e-02 eta: 2:01:52 time: 0.3108 data_time: 0.0397 memory: 9706 grad_norm: 1.6130 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2252 loss: 0.2252 2022/08/05 18:08:18 - mmengine - INFO - Saving checkpoint at 171 epochs 2022/08/05 18:08:30 - mmengine - INFO - Epoch(train) [172][20/314] lr: 3.8028e-02 eta: 2:01:40 time: 0.4757 data_time: 0.1984 memory: 9706 grad_norm: 1.3819 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1807 loss: 0.1807 2022/08/05 18:08:38 - mmengine - INFO - Epoch(train) [172][40/314] lr: 3.7963e-02 eta: 2:01:34 time: 0.3628 data_time: 0.0479 memory: 9706 grad_norm: 1.3034 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1836 loss: 0.1836 2022/08/05 18:08:44 - mmengine - INFO - Epoch(train) [172][60/314] lr: 3.7898e-02 eta: 2:01:27 time: 0.3367 data_time: 0.0394 memory: 9706 grad_norm: 1.3577 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1928 loss: 0.1928 2022/08/05 18:08:52 - mmengine - INFO - Epoch(train) [172][80/314] lr: 3.7832e-02 eta: 2:01:20 time: 0.3553 data_time: 0.0408 memory: 9706 grad_norm: 1.4478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2011 loss: 0.2011 2022/08/05 18:08:58 - mmengine - INFO - Epoch(train) [172][100/314] lr: 3.7767e-02 eta: 2:01:14 time: 0.3410 data_time: 0.0455 memory: 9706 grad_norm: 1.3313 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1298 loss: 0.1298 2022/08/05 18:09:05 - mmengine - INFO - Epoch(train) [172][120/314] lr: 3.7702e-02 eta: 2:01:07 time: 0.3417 data_time: 0.0436 memory: 9706 grad_norm: 1.2741 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1300 loss: 0.1300 2022/08/05 18:09:12 - mmengine - INFO - Epoch(train) [172][140/314] lr: 3.7637e-02 eta: 2:01:00 time: 0.3459 data_time: 0.0440 memory: 9706 grad_norm: 1.4562 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1886 loss: 0.1886 2022/08/05 18:09:19 - mmengine - INFO - Epoch(train) [172][160/314] lr: 3.7571e-02 eta: 2:00:53 time: 0.3478 data_time: 0.0450 memory: 9706 grad_norm: 1.3975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2004 loss: 0.2004 2022/08/05 18:09:26 - mmengine - INFO - Epoch(train) [172][180/314] lr: 3.7506e-02 eta: 2:00:47 time: 0.3406 data_time: 0.0408 memory: 9706 grad_norm: 1.3501 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1643 loss: 0.1643 2022/08/05 18:09:33 - mmengine - INFO - Epoch(train) [172][200/314] lr: 3.7441e-02 eta: 2:00:40 time: 0.3423 data_time: 0.0424 memory: 9706 grad_norm: 1.4137 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2459 loss: 0.2459 2022/08/05 18:09:40 - mmengine - INFO - Epoch(train) [172][220/314] lr: 3.7376e-02 eta: 2:00:33 time: 0.3501 data_time: 0.0415 memory: 9706 grad_norm: 1.3797 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1857 loss: 0.1857 2022/08/05 18:09:47 - mmengine - INFO - Epoch(train) [172][240/314] lr: 3.7311e-02 eta: 2:00:27 time: 0.3440 data_time: 0.0467 memory: 9706 grad_norm: 1.4166 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.1857 loss: 0.1857 2022/08/05 18:09:54 - mmengine - INFO - Epoch(train) [172][260/314] lr: 3.7246e-02 eta: 2:00:20 time: 0.3486 data_time: 0.0412 memory: 9706 grad_norm: 1.4575 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1910 loss: 0.1910 2022/08/05 18:10:01 - mmengine - INFO - Epoch(train) [172][280/314] lr: 3.7181e-02 eta: 2:00:13 time: 0.3462 data_time: 0.0397 memory: 9706 grad_norm: 1.3652 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2071 loss: 0.2071 2022/08/05 18:10:08 - mmengine - INFO - Epoch(train) [172][300/314] lr: 3.7117e-02 eta: 2:00:07 time: 0.3558 data_time: 0.0390 memory: 9706 grad_norm: 1.4011 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2154 loss: 0.2154 2022/08/05 18:10:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:10:11 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:10:11 - mmengine - INFO - Epoch(train) [172][314/314] lr: 3.7071e-02 eta: 2:00:07 time: 0.2961 data_time: 0.0370 memory: 9706 grad_norm: 1.4351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1806 loss: 0.1806 2022/08/05 18:10:11 - mmengine - INFO - Saving checkpoint at 172 epochs 2022/08/05 18:10:24 - mmengine - INFO - Epoch(train) [173][20/314] lr: 3.7006e-02 eta: 1:59:55 time: 0.4831 data_time: 0.1844 memory: 9706 grad_norm: 1.3755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2029 loss: 0.2029 2022/08/05 18:10:31 - mmengine - INFO - Epoch(train) [173][40/314] lr: 3.6942e-02 eta: 1:59:48 time: 0.3424 data_time: 0.0494 memory: 9706 grad_norm: 1.2815 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1876 loss: 0.1876 2022/08/05 18:10:38 - mmengine - INFO - Epoch(train) [173][60/314] lr: 3.6877e-02 eta: 1:59:41 time: 0.3479 data_time: 0.0432 memory: 9706 grad_norm: 1.3777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2165 loss: 0.2165 2022/08/05 18:10:44 - mmengine - INFO - Epoch(train) [173][80/314] lr: 3.6812e-02 eta: 1:59:34 time: 0.3394 data_time: 0.0538 memory: 9706 grad_norm: 1.5007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1478 loss: 0.1478 2022/08/05 18:10:51 - mmengine - INFO - Epoch(train) [173][100/314] lr: 3.6748e-02 eta: 1:59:28 time: 0.3552 data_time: 0.0404 memory: 9706 grad_norm: 1.2994 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1694 loss: 0.1694 2022/08/05 18:10:58 - mmengine - INFO - Epoch(train) [173][120/314] lr: 3.6683e-02 eta: 1:59:21 time: 0.3495 data_time: 0.0446 memory: 9706 grad_norm: 1.2891 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1615 loss: 0.1615 2022/08/05 18:11:05 - mmengine - INFO - Epoch(train) [173][140/314] lr: 3.6619e-02 eta: 1:59:15 time: 0.3450 data_time: 0.0403 memory: 9706 grad_norm: 1.3284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2110 loss: 0.2110 2022/08/05 18:11:12 - mmengine - INFO - Epoch(train) [173][160/314] lr: 3.6554e-02 eta: 1:59:08 time: 0.3503 data_time: 0.0405 memory: 9706 grad_norm: 1.2968 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2029 loss: 0.2029 2022/08/05 18:11:19 - mmengine - INFO - Epoch(train) [173][180/314] lr: 3.6490e-02 eta: 1:59:01 time: 0.3404 data_time: 0.0461 memory: 9706 grad_norm: 1.3418 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1596 loss: 0.1596 2022/08/05 18:11:26 - mmengine - INFO - Epoch(train) [173][200/314] lr: 3.6425e-02 eta: 1:58:54 time: 0.3429 data_time: 0.0466 memory: 9706 grad_norm: 1.3206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1933 loss: 0.1933 2022/08/05 18:11:33 - mmengine - INFO - Epoch(train) [173][220/314] lr: 3.6361e-02 eta: 1:58:48 time: 0.3400 data_time: 0.0443 memory: 9706 grad_norm: 1.3441 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1625 loss: 0.1625 2022/08/05 18:11:40 - mmengine - INFO - Epoch(train) [173][240/314] lr: 3.6297e-02 eta: 1:58:41 time: 0.3412 data_time: 0.0442 memory: 9706 grad_norm: 1.4463 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.2283 loss: 0.2283 2022/08/05 18:11:47 - mmengine - INFO - Epoch(train) [173][260/314] lr: 3.6233e-02 eta: 1:58:34 time: 0.3535 data_time: 0.0433 memory: 9706 grad_norm: 1.4464 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1698 loss: 0.1698 2022/08/05 18:11:53 - mmengine - INFO - Epoch(train) [173][280/314] lr: 3.6168e-02 eta: 1:58:28 time: 0.3376 data_time: 0.0436 memory: 9706 grad_norm: 1.4037 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2185 loss: 0.2185 2022/08/05 18:12:00 - mmengine - INFO - Epoch(train) [173][300/314] lr: 3.6104e-02 eta: 1:58:21 time: 0.3413 data_time: 0.0407 memory: 9706 grad_norm: 1.4270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.2212 loss: 0.2212 2022/08/05 18:12:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:12:04 - mmengine - INFO - Epoch(train) [173][314/314] lr: 3.6059e-02 eta: 1:58:21 time: 0.2870 data_time: 0.0371 memory: 9706 grad_norm: 1.3964 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1985 loss: 0.1985 2022/08/05 18:12:04 - mmengine - INFO - Saving checkpoint at 173 epochs 2022/08/05 18:12:16 - mmengine - INFO - Epoch(train) [174][20/314] lr: 3.5995e-02 eta: 1:58:09 time: 0.4695 data_time: 0.2019 memory: 9706 grad_norm: 1.3487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1764 loss: 0.1764 2022/08/05 18:12:23 - mmengine - INFO - Epoch(train) [174][40/314] lr: 3.5931e-02 eta: 1:58:02 time: 0.3423 data_time: 0.0420 memory: 9706 grad_norm: 1.3153 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1097 loss: 0.1097 2022/08/05 18:12:30 - mmengine - INFO - Epoch(train) [174][60/314] lr: 3.5867e-02 eta: 1:57:55 time: 0.3417 data_time: 0.0396 memory: 9706 grad_norm: 1.3683 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1449 loss: 0.1449 2022/08/05 18:12:37 - mmengine - INFO - Epoch(train) [174][80/314] lr: 3.5803e-02 eta: 1:57:49 time: 0.3667 data_time: 0.0452 memory: 9706 grad_norm: 1.4181 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1368 loss: 0.1368 2022/08/05 18:12:44 - mmengine - INFO - Epoch(train) [174][100/314] lr: 3.5739e-02 eta: 1:57:42 time: 0.3360 data_time: 0.0410 memory: 9706 grad_norm: 1.4449 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2129 loss: 0.2129 2022/08/05 18:12:51 - mmengine - INFO - Epoch(train) [174][120/314] lr: 3.5675e-02 eta: 1:57:35 time: 0.3405 data_time: 0.0476 memory: 9706 grad_norm: 1.4389 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1998 loss: 0.1998 2022/08/05 18:12:58 - mmengine - INFO - Epoch(train) [174][140/314] lr: 3.5612e-02 eta: 1:57:29 time: 0.3453 data_time: 0.0444 memory: 9706 grad_norm: 1.4895 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1814 loss: 0.1814 2022/08/05 18:13:05 - mmengine - INFO - Epoch(train) [174][160/314] lr: 3.5548e-02 eta: 1:57:22 time: 0.3452 data_time: 0.0452 memory: 9706 grad_norm: 1.3944 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2000 loss: 0.2000 2022/08/05 18:13:12 - mmengine - INFO - Epoch(train) [174][180/314] lr: 3.5484e-02 eta: 1:57:15 time: 0.3509 data_time: 0.0526 memory: 9706 grad_norm: 1.2357 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2155 loss: 0.2155 2022/08/05 18:13:18 - mmengine - INFO - Epoch(train) [174][200/314] lr: 3.5420e-02 eta: 1:57:09 time: 0.3439 data_time: 0.0572 memory: 9706 grad_norm: 1.3552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2280 loss: 0.2280 2022/08/05 18:13:25 - mmengine - INFO - Epoch(train) [174][220/314] lr: 3.5357e-02 eta: 1:57:02 time: 0.3458 data_time: 0.0470 memory: 9706 grad_norm: 1.4126 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1447 loss: 0.1447 2022/08/05 18:13:32 - mmengine - INFO - Epoch(train) [174][240/314] lr: 3.5293e-02 eta: 1:56:55 time: 0.3457 data_time: 0.0447 memory: 9706 grad_norm: 1.4614 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1831 loss: 0.1831 2022/08/05 18:13:39 - mmengine - INFO - Epoch(train) [174][260/314] lr: 3.5230e-02 eta: 1:56:49 time: 0.3452 data_time: 0.0467 memory: 9706 grad_norm: 1.3006 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1258 loss: 0.1258 2022/08/05 18:13:46 - mmengine - INFO - Epoch(train) [174][280/314] lr: 3.5166e-02 eta: 1:56:42 time: 0.3440 data_time: 0.0488 memory: 9706 grad_norm: 1.5402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2040 loss: 0.2040 2022/08/05 18:13:53 - mmengine - INFO - Epoch(train) [174][300/314] lr: 3.5103e-02 eta: 1:56:35 time: 0.3419 data_time: 0.0488 memory: 9706 grad_norm: 1.4195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1906 loss: 0.1906 2022/08/05 18:13:57 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:13:57 - mmengine - INFO - Epoch(train) [174][314/314] lr: 3.5058e-02 eta: 1:56:35 time: 0.3076 data_time: 0.0374 memory: 9706 grad_norm: 1.6366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2176 loss: 0.2176 2022/08/05 18:13:57 - mmengine - INFO - Saving checkpoint at 174 epochs 2022/08/05 18:14:09 - mmengine - INFO - Epoch(train) [175][20/314] lr: 3.4995e-02 eta: 1:56:23 time: 0.4567 data_time: 0.1812 memory: 9706 grad_norm: 1.3835 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2387 loss: 0.2387 2022/08/05 18:14:16 - mmengine - INFO - Epoch(train) [175][40/314] lr: 3.4932e-02 eta: 1:56:16 time: 0.3336 data_time: 0.0474 memory: 9706 grad_norm: 1.3209 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1963 loss: 0.1963 2022/08/05 18:14:23 - mmengine - INFO - Epoch(train) [175][60/314] lr: 3.4868e-02 eta: 1:56:09 time: 0.3525 data_time: 0.0413 memory: 9706 grad_norm: 1.3041 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1599 loss: 0.1599 2022/08/05 18:14:30 - mmengine - INFO - Epoch(train) [175][80/314] lr: 3.4805e-02 eta: 1:56:03 time: 0.3424 data_time: 0.0470 memory: 9706 grad_norm: 1.3662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1131 loss: 0.1131 2022/08/05 18:14:36 - mmengine - INFO - Epoch(train) [175][100/314] lr: 3.4742e-02 eta: 1:55:56 time: 0.3439 data_time: 0.0415 memory: 9706 grad_norm: 1.4320 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1299 loss: 0.1299 2022/08/05 18:14:43 - mmengine - INFO - Epoch(train) [175][120/314] lr: 3.4679e-02 eta: 1:55:49 time: 0.3493 data_time: 0.0452 memory: 9706 grad_norm: 1.4682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.2786 loss: 0.2786 2022/08/05 18:14:50 - mmengine - INFO - Epoch(train) [175][140/314] lr: 3.4616e-02 eta: 1:55:43 time: 0.3371 data_time: 0.0441 memory: 9706 grad_norm: 1.3926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1799 loss: 0.1799 2022/08/05 18:14:57 - mmengine - INFO - Epoch(train) [175][160/314] lr: 3.4553e-02 eta: 1:55:36 time: 0.3546 data_time: 0.0443 memory: 9706 grad_norm: 1.4634 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2107 loss: 0.2107 2022/08/05 18:15:04 - mmengine - INFO - Epoch(train) [175][180/314] lr: 3.4490e-02 eta: 1:55:29 time: 0.3444 data_time: 0.0424 memory: 9706 grad_norm: 1.2969 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2008 loss: 0.2008 2022/08/05 18:15:11 - mmengine - INFO - Epoch(train) [175][200/314] lr: 3.4427e-02 eta: 1:55:23 time: 0.3423 data_time: 0.0547 memory: 9706 grad_norm: 1.3266 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1707 loss: 0.1707 2022/08/05 18:15:18 - mmengine - INFO - Epoch(train) [175][220/314] lr: 3.4364e-02 eta: 1:55:16 time: 0.3400 data_time: 0.0410 memory: 9706 grad_norm: 1.2928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1235 loss: 0.1235 2022/08/05 18:15:25 - mmengine - INFO - Epoch(train) [175][240/314] lr: 3.4301e-02 eta: 1:55:09 time: 0.3478 data_time: 0.0416 memory: 9706 grad_norm: 1.4019 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1962 loss: 0.1962 2022/08/05 18:15:32 - mmengine - INFO - Epoch(train) [175][260/314] lr: 3.4238e-02 eta: 1:55:02 time: 0.3451 data_time: 0.0427 memory: 9706 grad_norm: 1.4696 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1589 loss: 0.1589 2022/08/05 18:15:39 - mmengine - INFO - Epoch(train) [175][280/314] lr: 3.4175e-02 eta: 1:54:56 time: 0.3630 data_time: 0.0437 memory: 9706 grad_norm: 1.4348 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1731 loss: 0.1731 2022/08/05 18:15:46 - mmengine - INFO - Epoch(train) [175][300/314] lr: 3.4112e-02 eta: 1:54:49 time: 0.3431 data_time: 0.0481 memory: 9706 grad_norm: 1.3777 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2252 loss: 0.2252 2022/08/05 18:15:50 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:15:50 - mmengine - INFO - Epoch(train) [175][314/314] lr: 3.4069e-02 eta: 1:54:49 time: 0.2938 data_time: 0.0435 memory: 9706 grad_norm: 1.4739 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1866 loss: 0.1866 2022/08/05 18:15:50 - mmengine - INFO - Saving checkpoint at 175 epochs 2022/08/05 18:16:01 - mmengine - INFO - Epoch(train) [176][20/314] lr: 3.4006e-02 eta: 1:54:37 time: 0.4423 data_time: 0.1678 memory: 9706 grad_norm: 1.3484 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1737 loss: 0.1737 2022/08/05 18:16:08 - mmengine - INFO - Epoch(train) [176][40/314] lr: 3.3943e-02 eta: 1:54:30 time: 0.3475 data_time: 0.0447 memory: 9706 grad_norm: 1.2202 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1575 loss: 0.1575 2022/08/05 18:16:12 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:16:15 - mmengine - INFO - Epoch(train) [176][60/314] lr: 3.3881e-02 eta: 1:54:23 time: 0.3380 data_time: 0.0389 memory: 9706 grad_norm: 1.3281 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2009 loss: 0.2009 2022/08/05 18:16:22 - mmengine - INFO - Epoch(train) [176][80/314] lr: 3.3818e-02 eta: 1:54:17 time: 0.3379 data_time: 0.0472 memory: 9706 grad_norm: 1.4064 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2307 loss: 0.2307 2022/08/05 18:16:29 - mmengine - INFO - Epoch(train) [176][100/314] lr: 3.3756e-02 eta: 1:54:10 time: 0.3701 data_time: 0.0420 memory: 9706 grad_norm: 1.3475 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1241 loss: 0.1241 2022/08/05 18:16:36 - mmengine - INFO - Epoch(train) [176][120/314] lr: 3.3693e-02 eta: 1:54:03 time: 0.3379 data_time: 0.0447 memory: 9706 grad_norm: 1.4447 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1330 loss: 0.1330 2022/08/05 18:16:43 - mmengine - INFO - Epoch(train) [176][140/314] lr: 3.3631e-02 eta: 1:53:57 time: 0.3444 data_time: 0.0425 memory: 9706 grad_norm: 1.4941 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1170 loss: 0.1170 2022/08/05 18:16:50 - mmengine - INFO - Epoch(train) [176][160/314] lr: 3.3569e-02 eta: 1:53:50 time: 0.3477 data_time: 0.0479 memory: 9706 grad_norm: 1.4388 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1588 loss: 0.1588 2022/08/05 18:16:57 - mmengine - INFO - Epoch(train) [176][180/314] lr: 3.3506e-02 eta: 1:53:43 time: 0.3506 data_time: 0.0403 memory: 9706 grad_norm: 1.4613 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1227 loss: 0.1227 2022/08/05 18:17:04 - mmengine - INFO - Epoch(train) [176][200/314] lr: 3.3444e-02 eta: 1:53:37 time: 0.3368 data_time: 0.0451 memory: 9706 grad_norm: 1.2597 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1545 loss: 0.1545 2022/08/05 18:17:10 - mmengine - INFO - Epoch(train) [176][220/314] lr: 3.3382e-02 eta: 1:53:30 time: 0.3454 data_time: 0.0458 memory: 9706 grad_norm: 1.3628 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1806 loss: 0.1806 2022/08/05 18:17:17 - mmengine - INFO - Epoch(train) [176][240/314] lr: 3.3320e-02 eta: 1:53:23 time: 0.3424 data_time: 0.0434 memory: 9706 grad_norm: 1.4277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1576 loss: 0.1576 2022/08/05 18:17:24 - mmengine - INFO - Epoch(train) [176][260/314] lr: 3.3258e-02 eta: 1:53:16 time: 0.3454 data_time: 0.0493 memory: 9706 grad_norm: 1.3718 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1808 loss: 0.1808 2022/08/05 18:17:31 - mmengine - INFO - Epoch(train) [176][280/314] lr: 3.3195e-02 eta: 1:53:10 time: 0.3479 data_time: 0.0482 memory: 9706 grad_norm: 1.4490 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1645 loss: 0.1645 2022/08/05 18:17:38 - mmengine - INFO - Epoch(train) [176][300/314] lr: 3.3133e-02 eta: 1:53:03 time: 0.3481 data_time: 0.0517 memory: 9706 grad_norm: 1.3710 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1599 loss: 0.1599 2022/08/05 18:17:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:17:42 - mmengine - INFO - Epoch(train) [176][314/314] lr: 3.3090e-02 eta: 1:53:03 time: 0.2995 data_time: 0.0366 memory: 9706 grad_norm: 1.4158 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1772 loss: 0.1772 2022/08/05 18:17:42 - mmengine - INFO - Saving checkpoint at 176 epochs 2022/08/05 18:17:54 - mmengine - INFO - Epoch(train) [177][20/314] lr: 3.3028e-02 eta: 1:52:51 time: 0.4723 data_time: 0.1811 memory: 9706 grad_norm: 1.2416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1570 loss: 0.1570 2022/08/05 18:18:01 - mmengine - INFO - Epoch(train) [177][40/314] lr: 3.2966e-02 eta: 1:52:44 time: 0.3530 data_time: 0.0422 memory: 9706 grad_norm: 1.3409 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1384 loss: 0.1384 2022/08/05 18:18:08 - mmengine - INFO - Epoch(train) [177][60/314] lr: 3.2904e-02 eta: 1:52:38 time: 0.3466 data_time: 0.0471 memory: 9706 grad_norm: 1.3349 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1252 loss: 0.1252 2022/08/05 18:18:15 - mmengine - INFO - Epoch(train) [177][80/314] lr: 3.2843e-02 eta: 1:52:31 time: 0.3415 data_time: 0.0414 memory: 9706 grad_norm: 1.3349 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1355 loss: 0.1355 2022/08/05 18:18:22 - mmengine - INFO - Epoch(train) [177][100/314] lr: 3.2781e-02 eta: 1:52:24 time: 0.3446 data_time: 0.0410 memory: 9706 grad_norm: 1.4776 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1821 loss: 0.1821 2022/08/05 18:18:29 - mmengine - INFO - Epoch(train) [177][120/314] lr: 3.2719e-02 eta: 1:52:18 time: 0.3475 data_time: 0.0430 memory: 9706 grad_norm: 1.4906 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1349 loss: 0.1349 2022/08/05 18:18:35 - mmengine - INFO - Epoch(train) [177][140/314] lr: 3.2657e-02 eta: 1:52:11 time: 0.3414 data_time: 0.0476 memory: 9706 grad_norm: 1.4730 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1436 loss: 0.1436 2022/08/05 18:18:42 - mmengine - INFO - Epoch(train) [177][160/314] lr: 3.2596e-02 eta: 1:52:04 time: 0.3519 data_time: 0.0500 memory: 9706 grad_norm: 1.4849 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2141 loss: 0.2141 2022/08/05 18:18:49 - mmengine - INFO - Epoch(train) [177][180/314] lr: 3.2534e-02 eta: 1:51:57 time: 0.3373 data_time: 0.0402 memory: 9706 grad_norm: 1.4445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1721 loss: 0.1721 2022/08/05 18:18:56 - mmengine - INFO - Epoch(train) [177][200/314] lr: 3.2473e-02 eta: 1:51:51 time: 0.3416 data_time: 0.0412 memory: 9706 grad_norm: 1.6013 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.2076 loss: 0.2076 2022/08/05 18:19:03 - mmengine - INFO - Epoch(train) [177][220/314] lr: 3.2411e-02 eta: 1:51:44 time: 0.3484 data_time: 0.0434 memory: 9706 grad_norm: 1.3670 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1608 loss: 0.1608 2022/08/05 18:19:10 - mmengine - INFO - Epoch(train) [177][240/314] lr: 3.2350e-02 eta: 1:51:37 time: 0.3499 data_time: 0.0446 memory: 9706 grad_norm: 1.3470 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1327 loss: 0.1327 2022/08/05 18:19:17 - mmengine - INFO - Epoch(train) [177][260/314] lr: 3.2288e-02 eta: 1:51:31 time: 0.3426 data_time: 0.0463 memory: 9706 grad_norm: 1.2975 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1502 loss: 0.1502 2022/08/05 18:19:24 - mmengine - INFO - Epoch(train) [177][280/314] lr: 3.2227e-02 eta: 1:51:24 time: 0.3476 data_time: 0.0442 memory: 9706 grad_norm: 1.2751 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1884 loss: 0.1884 2022/08/05 18:19:31 - mmengine - INFO - Epoch(train) [177][300/314] lr: 3.2166e-02 eta: 1:51:17 time: 0.3378 data_time: 0.0452 memory: 9706 grad_norm: 1.5096 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1593 loss: 0.1593 2022/08/05 18:19:34 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:19:34 - mmengine - INFO - Epoch(train) [177][314/314] lr: 3.2123e-02 eta: 1:51:17 time: 0.2931 data_time: 0.0366 memory: 9706 grad_norm: 1.5345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2152 loss: 0.2152 2022/08/05 18:19:35 - mmengine - INFO - Saving checkpoint at 177 epochs 2022/08/05 18:19:46 - mmengine - INFO - Epoch(train) [178][20/314] lr: 3.2062e-02 eta: 1:51:05 time: 0.4546 data_time: 0.1619 memory: 9706 grad_norm: 1.3405 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1426 loss: 0.1426 2022/08/05 18:19:53 - mmengine - INFO - Epoch(train) [178][40/314] lr: 3.2001e-02 eta: 1:50:58 time: 0.3426 data_time: 0.0474 memory: 9706 grad_norm: 1.3135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1529 loss: 0.1529 2022/08/05 18:20:00 - mmengine - INFO - Epoch(train) [178][60/314] lr: 3.1940e-02 eta: 1:50:52 time: 0.3461 data_time: 0.0435 memory: 9706 grad_norm: 1.3786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1506 loss: 0.1506 2022/08/05 18:20:07 - mmengine - INFO - Epoch(train) [178][80/314] lr: 3.1878e-02 eta: 1:50:45 time: 0.3458 data_time: 0.0447 memory: 9706 grad_norm: 1.3514 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1332 loss: 0.1332 2022/08/05 18:20:14 - mmengine - INFO - Epoch(train) [178][100/314] lr: 3.1817e-02 eta: 1:50:38 time: 0.3467 data_time: 0.0412 memory: 9706 grad_norm: 1.3913 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1535 loss: 0.1535 2022/08/05 18:20:21 - mmengine - INFO - Epoch(train) [178][120/314] lr: 3.1756e-02 eta: 1:50:32 time: 0.3417 data_time: 0.0412 memory: 9706 grad_norm: 1.4250 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1479 loss: 0.1479 2022/08/05 18:20:28 - mmengine - INFO - Epoch(train) [178][140/314] lr: 3.1696e-02 eta: 1:50:25 time: 0.3602 data_time: 0.0534 memory: 9706 grad_norm: 1.5624 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1915 loss: 0.1915 2022/08/05 18:20:35 - mmengine - INFO - Epoch(train) [178][160/314] lr: 3.1635e-02 eta: 1:50:18 time: 0.3445 data_time: 0.0426 memory: 9706 grad_norm: 1.3285 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1541 loss: 0.1541 2022/08/05 18:20:42 - mmengine - INFO - Epoch(train) [178][180/314] lr: 3.1574e-02 eta: 1:50:11 time: 0.3382 data_time: 0.0419 memory: 9706 grad_norm: 1.3235 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1344 loss: 0.1344 2022/08/05 18:20:49 - mmengine - INFO - Epoch(train) [178][200/314] lr: 3.1513e-02 eta: 1:50:05 time: 0.3603 data_time: 0.0451 memory: 9706 grad_norm: 1.3969 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1789 loss: 0.1789 2022/08/05 18:20:56 - mmengine - INFO - Epoch(train) [178][220/314] lr: 3.1452e-02 eta: 1:49:58 time: 0.3449 data_time: 0.0396 memory: 9706 grad_norm: 1.2492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1402 loss: 0.1402 2022/08/05 18:21:03 - mmengine - INFO - Epoch(train) [178][240/314] lr: 3.1392e-02 eta: 1:49:52 time: 0.3457 data_time: 0.0460 memory: 9706 grad_norm: 1.3101 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1693 loss: 0.1693 2022/08/05 18:21:10 - mmengine - INFO - Epoch(train) [178][260/314] lr: 3.1331e-02 eta: 1:49:45 time: 0.3464 data_time: 0.0468 memory: 9706 grad_norm: 1.3238 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1702 loss: 0.1702 2022/08/05 18:21:17 - mmengine - INFO - Epoch(train) [178][280/314] lr: 3.1270e-02 eta: 1:49:38 time: 0.3382 data_time: 0.0420 memory: 9706 grad_norm: 1.2931 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1550 loss: 0.1550 2022/08/05 18:21:23 - mmengine - INFO - Epoch(train) [178][300/314] lr: 3.1210e-02 eta: 1:49:31 time: 0.3449 data_time: 0.0392 memory: 9706 grad_norm: 1.5390 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1741 loss: 0.1741 2022/08/05 18:21:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:21:27 - mmengine - INFO - Epoch(train) [178][314/314] lr: 3.1168e-02 eta: 1:49:31 time: 0.2935 data_time: 0.0354 memory: 9706 grad_norm: 1.7330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2017 loss: 0.2017 2022/08/05 18:21:27 - mmengine - INFO - Saving checkpoint at 178 epochs 2022/08/05 18:21:39 - mmengine - INFO - Epoch(train) [179][20/314] lr: 3.1107e-02 eta: 1:49:19 time: 0.4741 data_time: 0.1937 memory: 9706 grad_norm: 1.4808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1911 loss: 0.1911 2022/08/05 18:21:46 - mmengine - INFO - Epoch(train) [179][40/314] lr: 3.1047e-02 eta: 1:49:12 time: 0.3367 data_time: 0.0427 memory: 9706 grad_norm: 1.5319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1387 loss: 0.1387 2022/08/05 18:21:53 - mmengine - INFO - Epoch(train) [179][60/314] lr: 3.0986e-02 eta: 1:49:06 time: 0.3485 data_time: 0.0470 memory: 9706 grad_norm: 1.3177 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1733 loss: 0.1733 2022/08/05 18:22:00 - mmengine - INFO - Epoch(train) [179][80/314] lr: 3.0926e-02 eta: 1:48:59 time: 0.3382 data_time: 0.0447 memory: 9706 grad_norm: 1.3134 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1483 loss: 0.1483 2022/08/05 18:22:07 - mmengine - INFO - Epoch(train) [179][100/314] lr: 3.0866e-02 eta: 1:48:52 time: 0.3514 data_time: 0.0611 memory: 9706 grad_norm: 1.4714 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1735 loss: 0.1735 2022/08/05 18:22:10 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:22:14 - mmengine - INFO - Epoch(train) [179][120/314] lr: 3.0806e-02 eta: 1:48:46 time: 0.3429 data_time: 0.0537 memory: 9706 grad_norm: 1.3601 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2078 loss: 0.2078 2022/08/05 18:22:20 - mmengine - INFO - Epoch(train) [179][140/314] lr: 3.0745e-02 eta: 1:48:39 time: 0.3453 data_time: 0.0437 memory: 9706 grad_norm: 1.2801 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1630 loss: 0.1630 2022/08/05 18:22:27 - mmengine - INFO - Epoch(train) [179][160/314] lr: 3.0685e-02 eta: 1:48:32 time: 0.3387 data_time: 0.0438 memory: 9706 grad_norm: 1.3732 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1499 loss: 0.1499 2022/08/05 18:22:34 - mmengine - INFO - Epoch(train) [179][180/314] lr: 3.0625e-02 eta: 1:48:26 time: 0.3444 data_time: 0.0496 memory: 9706 grad_norm: 1.5151 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2232 loss: 0.2232 2022/08/05 18:22:41 - mmengine - INFO - Epoch(train) [179][200/314] lr: 3.0565e-02 eta: 1:48:19 time: 0.3444 data_time: 0.0513 memory: 9706 grad_norm: 1.4378 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1654 loss: 0.1654 2022/08/05 18:22:48 - mmengine - INFO - Epoch(train) [179][220/314] lr: 3.0505e-02 eta: 1:48:12 time: 0.3476 data_time: 0.0423 memory: 9706 grad_norm: 1.2699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1628 loss: 0.1628 2022/08/05 18:22:55 - mmengine - INFO - Epoch(train) [179][240/314] lr: 3.0445e-02 eta: 1:48:05 time: 0.3379 data_time: 0.0477 memory: 9706 grad_norm: 1.5085 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1135 loss: 0.1135 2022/08/05 18:23:02 - mmengine - INFO - Epoch(train) [179][260/314] lr: 3.0385e-02 eta: 1:47:59 time: 0.3456 data_time: 0.0504 memory: 9706 grad_norm: 1.4545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1566 loss: 0.1566 2022/08/05 18:23:09 - mmengine - INFO - Epoch(train) [179][280/314] lr: 3.0326e-02 eta: 1:47:52 time: 0.3480 data_time: 0.0546 memory: 9706 grad_norm: 1.4294 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1905 loss: 0.1905 2022/08/05 18:23:15 - mmengine - INFO - Epoch(train) [179][300/314] lr: 3.0266e-02 eta: 1:47:45 time: 0.3390 data_time: 0.0449 memory: 9706 grad_norm: 1.4146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1475 loss: 0.1475 2022/08/05 18:23:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:23:19 - mmengine - INFO - Epoch(train) [179][314/314] lr: 3.0224e-02 eta: 1:47:45 time: 0.2980 data_time: 0.0412 memory: 9706 grad_norm: 1.4650 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1844 loss: 0.1844 2022/08/05 18:23:19 - mmengine - INFO - Saving checkpoint at 179 epochs 2022/08/05 18:23:31 - mmengine - INFO - Epoch(train) [180][20/314] lr: 3.0164e-02 eta: 1:47:33 time: 0.4733 data_time: 0.1993 memory: 9706 grad_norm: 1.4019 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1662 loss: 0.1662 2022/08/05 18:23:39 - mmengine - INFO - Epoch(train) [180][40/314] lr: 3.0105e-02 eta: 1:47:27 time: 0.3743 data_time: 0.0428 memory: 9706 grad_norm: 1.4328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1585 loss: 0.1585 2022/08/05 18:23:46 - mmengine - INFO - Epoch(train) [180][60/314] lr: 3.0045e-02 eta: 1:47:20 time: 0.3298 data_time: 0.0429 memory: 9706 grad_norm: 1.3425 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1614 loss: 0.1614 2022/08/05 18:23:52 - mmengine - INFO - Epoch(train) [180][80/314] lr: 2.9985e-02 eta: 1:47:13 time: 0.3415 data_time: 0.0443 memory: 9706 grad_norm: 1.3956 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1292 loss: 0.1292 2022/08/05 18:23:59 - mmengine - INFO - Epoch(train) [180][100/314] lr: 2.9926e-02 eta: 1:47:07 time: 0.3523 data_time: 0.0552 memory: 9706 grad_norm: 1.3859 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1908 loss: 0.1908 2022/08/05 18:24:06 - mmengine - INFO - Epoch(train) [180][120/314] lr: 2.9866e-02 eta: 1:47:00 time: 0.3416 data_time: 0.0440 memory: 9706 grad_norm: 1.3100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1408 loss: 0.1408 2022/08/05 18:24:13 - mmengine - INFO - Epoch(train) [180][140/314] lr: 2.9807e-02 eta: 1:46:53 time: 0.3361 data_time: 0.0429 memory: 9706 grad_norm: 1.4095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1041 loss: 0.1041 2022/08/05 18:24:20 - mmengine - INFO - Epoch(train) [180][160/314] lr: 2.9748e-02 eta: 1:46:46 time: 0.3455 data_time: 0.0453 memory: 9706 grad_norm: 1.3552 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1309 loss: 0.1309 2022/08/05 18:24:27 - mmengine - INFO - Epoch(train) [180][180/314] lr: 2.9688e-02 eta: 1:46:40 time: 0.3462 data_time: 0.0483 memory: 9706 grad_norm: 1.4850 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1333 loss: 0.1333 2022/08/05 18:24:34 - mmengine - INFO - Epoch(train) [180][200/314] lr: 2.9629e-02 eta: 1:46:33 time: 0.3490 data_time: 0.0441 memory: 9706 grad_norm: 1.3707 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1854 loss: 0.1854 2022/08/05 18:24:41 - mmengine - INFO - Epoch(train) [180][220/314] lr: 2.9570e-02 eta: 1:46:26 time: 0.3499 data_time: 0.0493 memory: 9706 grad_norm: 1.3070 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1711 loss: 0.1711 2022/08/05 18:24:48 - mmengine - INFO - Epoch(train) [180][240/314] lr: 2.9511e-02 eta: 1:46:20 time: 0.3584 data_time: 0.0462 memory: 9706 grad_norm: 1.2493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1000 loss: 0.1000 2022/08/05 18:24:55 - mmengine - INFO - Epoch(train) [180][260/314] lr: 2.9452e-02 eta: 1:46:13 time: 0.3345 data_time: 0.0411 memory: 9706 grad_norm: 1.3784 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1246 loss: 0.1246 2022/08/05 18:25:02 - mmengine - INFO - Epoch(train) [180][280/314] lr: 2.9393e-02 eta: 1:46:06 time: 0.3463 data_time: 0.0497 memory: 9706 grad_norm: 1.4973 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1698 loss: 0.1698 2022/08/05 18:25:09 - mmengine - INFO - Epoch(train) [180][300/314] lr: 2.9334e-02 eta: 1:46:00 time: 0.3446 data_time: 0.0442 memory: 9706 grad_norm: 1.4182 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1803 loss: 0.1803 2022/08/05 18:25:12 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:25:12 - mmengine - INFO - Epoch(train) [180][314/314] lr: 2.9292e-02 eta: 1:46:00 time: 0.2948 data_time: 0.0380 memory: 9706 grad_norm: 1.4523 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.1681 loss: 0.1681 2022/08/05 18:25:12 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/05 18:25:24 - mmengine - INFO - Epoch(val) [180][20/129] eta: 0:00:49 time: 0.4525 data_time: 0.2734 memory: 1867 2022/08/05 18:25:31 - mmengine - INFO - Epoch(val) [180][40/129] eta: 0:00:28 time: 0.3178 data_time: 0.1361 memory: 1867 2022/08/05 18:25:38 - mmengine - INFO - Epoch(val) [180][60/129] eta: 0:00:24 time: 0.3500 data_time: 0.1661 memory: 1867 2022/08/05 18:25:44 - mmengine - INFO - Epoch(val) [180][80/129] eta: 0:00:15 time: 0.3172 data_time: 0.1368 memory: 1867 2022/08/05 18:25:51 - mmengine - INFO - Epoch(val) [180][100/129] eta: 0:00:09 time: 0.3366 data_time: 0.1520 memory: 1867 2022/08/05 18:25:56 - mmengine - INFO - Epoch(val) [180][120/129] eta: 0:00:02 time: 0.2644 data_time: 0.1062 memory: 1867 2022/08/05 18:25:58 - mmengine - INFO - Epoch(val) [180][129/129] acc/top1: 0.8989 acc/top5: 0.9926 acc/mean1: 0.8988 2022/08/05 18:25:58 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_171.pth is removed 2022/08/05 18:26:01 - mmengine - INFO - The best checkpoint with 0.8989 acc/top1 at 181 epoch is saved to best_acc/top1_epoch_181.pth. 2022/08/05 18:26:10 - mmengine - INFO - Epoch(train) [181][20/314] lr: 2.9233e-02 eta: 1:45:47 time: 0.4547 data_time: 0.1791 memory: 9706 grad_norm: 1.5624 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2340 loss: 0.2340 2022/08/05 18:26:17 - mmengine - INFO - Epoch(train) [181][40/314] lr: 2.9174e-02 eta: 1:45:41 time: 0.3426 data_time: 0.0483 memory: 9706 grad_norm: 1.4210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1640 loss: 0.1640 2022/08/05 18:26:24 - mmengine - INFO - Epoch(train) [181][60/314] lr: 2.9116e-02 eta: 1:45:34 time: 0.3360 data_time: 0.0417 memory: 9706 grad_norm: 1.2624 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1291 loss: 0.1291 2022/08/05 18:26:31 - mmengine - INFO - Epoch(train) [181][80/314] lr: 2.9057e-02 eta: 1:45:27 time: 0.3508 data_time: 0.0524 memory: 9706 grad_norm: 1.4246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1181 loss: 0.1181 2022/08/05 18:26:38 - mmengine - INFO - Epoch(train) [181][100/314] lr: 2.8998e-02 eta: 1:45:21 time: 0.3509 data_time: 0.0473 memory: 9706 grad_norm: 1.4598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1358 loss: 0.1358 2022/08/05 18:26:45 - mmengine - INFO - Epoch(train) [181][120/314] lr: 2.8939e-02 eta: 1:45:14 time: 0.3446 data_time: 0.0463 memory: 9706 grad_norm: 1.2557 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0867 loss: 0.0867 2022/08/05 18:26:52 - mmengine - INFO - Epoch(train) [181][140/314] lr: 2.8881e-02 eta: 1:45:07 time: 0.3472 data_time: 0.0442 memory: 9706 grad_norm: 1.4301 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1526 loss: 0.1526 2022/08/05 18:26:59 - mmengine - INFO - Epoch(train) [181][160/314] lr: 2.8822e-02 eta: 1:45:01 time: 0.3606 data_time: 0.0471 memory: 9706 grad_norm: 1.3878 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1555 loss: 0.1555 2022/08/05 18:27:06 - mmengine - INFO - Epoch(train) [181][180/314] lr: 2.8764e-02 eta: 1:44:54 time: 0.3372 data_time: 0.0389 memory: 9706 grad_norm: 1.5263 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1046 loss: 0.1046 2022/08/05 18:27:13 - mmengine - INFO - Epoch(train) [181][200/314] lr: 2.8705e-02 eta: 1:44:47 time: 0.3438 data_time: 0.0499 memory: 9706 grad_norm: 1.4177 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1902 loss: 0.1902 2022/08/05 18:27:20 - mmengine - INFO - Epoch(train) [181][220/314] lr: 2.8647e-02 eta: 1:44:41 time: 0.3602 data_time: 0.0450 memory: 9706 grad_norm: 1.3032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1204 loss: 0.1204 2022/08/05 18:27:27 - mmengine - INFO - Epoch(train) [181][240/314] lr: 2.8588e-02 eta: 1:44:34 time: 0.3399 data_time: 0.0419 memory: 9706 grad_norm: 1.3257 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1421 loss: 0.1421 2022/08/05 18:27:33 - mmengine - INFO - Epoch(train) [181][260/314] lr: 2.8530e-02 eta: 1:44:27 time: 0.3396 data_time: 0.0436 memory: 9706 grad_norm: 1.3830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1290 loss: 0.1290 2022/08/05 18:27:41 - mmengine - INFO - Epoch(train) [181][280/314] lr: 2.8472e-02 eta: 1:44:21 time: 0.3627 data_time: 0.0400 memory: 9706 grad_norm: 1.3898 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1536 loss: 0.1536 2022/08/05 18:27:47 - mmengine - INFO - Epoch(train) [181][300/314] lr: 2.8413e-02 eta: 1:44:14 time: 0.3350 data_time: 0.0448 memory: 9706 grad_norm: 1.3871 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1336 loss: 0.1336 2022/08/05 18:27:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:27:51 - mmengine - INFO - Epoch(train) [181][314/314] lr: 2.8373e-02 eta: 1:44:14 time: 0.2894 data_time: 0.0392 memory: 9706 grad_norm: 1.5644 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1664 loss: 0.1664 2022/08/05 18:27:51 - mmengine - INFO - Saving checkpoint at 181 epochs 2022/08/05 18:28:03 - mmengine - INFO - Epoch(train) [182][20/314] lr: 2.8315e-02 eta: 1:44:02 time: 0.4559 data_time: 0.1743 memory: 9706 grad_norm: 1.3552 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1663 loss: 0.1663 2022/08/05 18:28:10 - mmengine - INFO - Epoch(train) [182][40/314] lr: 2.8256e-02 eta: 1:43:55 time: 0.3537 data_time: 0.0426 memory: 9706 grad_norm: 1.3496 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1403 loss: 0.1403 2022/08/05 18:28:17 - mmengine - INFO - Epoch(train) [182][60/314] lr: 2.8198e-02 eta: 1:43:48 time: 0.3357 data_time: 0.0466 memory: 9706 grad_norm: 1.3100 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1263 loss: 0.1263 2022/08/05 18:28:24 - mmengine - INFO - Epoch(train) [182][80/314] lr: 2.8140e-02 eta: 1:43:41 time: 0.3426 data_time: 0.0466 memory: 9706 grad_norm: 1.4048 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2067 loss: 0.2067 2022/08/05 18:28:31 - mmengine - INFO - Epoch(train) [182][100/314] lr: 2.8082e-02 eta: 1:43:35 time: 0.3439 data_time: 0.0420 memory: 9706 grad_norm: 1.3679 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1584 loss: 0.1584 2022/08/05 18:28:38 - mmengine - INFO - Epoch(train) [182][120/314] lr: 2.8025e-02 eta: 1:43:28 time: 0.3545 data_time: 0.0658 memory: 9706 grad_norm: 1.3538 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1331 loss: 0.1331 2022/08/05 18:28:45 - mmengine - INFO - Epoch(train) [182][140/314] lr: 2.7967e-02 eta: 1:43:21 time: 0.3372 data_time: 0.0498 memory: 9706 grad_norm: 1.5252 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1705 loss: 0.1705 2022/08/05 18:28:52 - mmengine - INFO - Epoch(train) [182][160/314] lr: 2.7909e-02 eta: 1:43:15 time: 0.3544 data_time: 0.0407 memory: 9706 grad_norm: 1.3545 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1426 loss: 0.1426 2022/08/05 18:28:54 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:28:59 - mmengine - INFO - Epoch(train) [182][180/314] lr: 2.7851e-02 eta: 1:43:08 time: 0.3409 data_time: 0.0425 memory: 9706 grad_norm: 1.3854 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1048 loss: 0.1048 2022/08/05 18:29:06 - mmengine - INFO - Epoch(train) [182][200/314] lr: 2.7793e-02 eta: 1:43:01 time: 0.3473 data_time: 0.0431 memory: 9706 grad_norm: 1.4070 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1155 loss: 0.1155 2022/08/05 18:29:12 - mmengine - INFO - Epoch(train) [182][220/314] lr: 2.7736e-02 eta: 1:42:55 time: 0.3454 data_time: 0.0492 memory: 9706 grad_norm: 1.4261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1268 loss: 0.1268 2022/08/05 18:29:19 - mmengine - INFO - Epoch(train) [182][240/314] lr: 2.7678e-02 eta: 1:42:48 time: 0.3441 data_time: 0.0424 memory: 9706 grad_norm: 1.2891 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1314 loss: 0.1314 2022/08/05 18:29:26 - mmengine - INFO - Epoch(train) [182][260/314] lr: 2.7621e-02 eta: 1:42:41 time: 0.3411 data_time: 0.0457 memory: 9706 grad_norm: 1.4460 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.1490 loss: 0.1490 2022/08/05 18:29:33 - mmengine - INFO - Epoch(train) [182][280/314] lr: 2.7563e-02 eta: 1:42:35 time: 0.3487 data_time: 0.0466 memory: 9706 grad_norm: 1.3544 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1513 loss: 0.1513 2022/08/05 18:29:40 - mmengine - INFO - Epoch(train) [182][300/314] lr: 2.7506e-02 eta: 1:42:28 time: 0.3438 data_time: 0.0418 memory: 9706 grad_norm: 1.4744 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1750 loss: 0.1750 2022/08/05 18:29:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:29:44 - mmengine - INFO - Epoch(train) [182][314/314] lr: 2.7465e-02 eta: 1:42:28 time: 0.2919 data_time: 0.0361 memory: 9706 grad_norm: 1.5111 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.1539 loss: 0.1539 2022/08/05 18:29:44 - mmengine - INFO - Saving checkpoint at 182 epochs 2022/08/05 18:29:56 - mmengine - INFO - Epoch(train) [183][20/314] lr: 2.7408e-02 eta: 1:42:16 time: 0.4692 data_time: 0.1920 memory: 9706 grad_norm: 1.2340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0836 loss: 0.0836 2022/08/05 18:30:03 - mmengine - INFO - Epoch(train) [183][40/314] lr: 2.7351e-02 eta: 1:42:09 time: 0.3451 data_time: 0.0413 memory: 9706 grad_norm: 1.4582 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1616 loss: 0.1616 2022/08/05 18:30:10 - mmengine - INFO - Epoch(train) [183][60/314] lr: 2.7293e-02 eta: 1:42:02 time: 0.3437 data_time: 0.0432 memory: 9706 grad_norm: 1.3773 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1000 loss: 0.1000 2022/08/05 18:30:17 - mmengine - INFO - Epoch(train) [183][80/314] lr: 2.7236e-02 eta: 1:41:56 time: 0.3488 data_time: 0.0496 memory: 9706 grad_norm: 1.3758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1369 loss: 0.1369 2022/08/05 18:30:24 - mmengine - INFO - Epoch(train) [183][100/314] lr: 2.7179e-02 eta: 1:41:49 time: 0.3469 data_time: 0.0500 memory: 9706 grad_norm: 1.4192 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1654 loss: 0.1654 2022/08/05 18:30:30 - mmengine - INFO - Epoch(train) [183][120/314] lr: 2.7122e-02 eta: 1:41:42 time: 0.3397 data_time: 0.0463 memory: 9706 grad_norm: 1.4372 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1437 loss: 0.1437 2022/08/05 18:30:37 - mmengine - INFO - Epoch(train) [183][140/314] lr: 2.7065e-02 eta: 1:41:36 time: 0.3485 data_time: 0.0436 memory: 9706 grad_norm: 1.3551 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1131 loss: 0.1131 2022/08/05 18:30:44 - mmengine - INFO - Epoch(train) [183][160/314] lr: 2.7008e-02 eta: 1:41:29 time: 0.3430 data_time: 0.0426 memory: 9706 grad_norm: 1.3856 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1015 loss: 0.1015 2022/08/05 18:30:51 - mmengine - INFO - Epoch(train) [183][180/314] lr: 2.6951e-02 eta: 1:41:22 time: 0.3397 data_time: 0.0512 memory: 9706 grad_norm: 1.4622 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1671 loss: 0.1671 2022/08/05 18:30:58 - mmengine - INFO - Epoch(train) [183][200/314] lr: 2.6894e-02 eta: 1:41:15 time: 0.3505 data_time: 0.0455 memory: 9706 grad_norm: 1.4465 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1112 loss: 0.1112 2022/08/05 18:31:05 - mmengine - INFO - Epoch(train) [183][220/314] lr: 2.6837e-02 eta: 1:41:09 time: 0.3464 data_time: 0.0422 memory: 9706 grad_norm: 1.6266 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1579 loss: 0.1579 2022/08/05 18:31:12 - mmengine - INFO - Epoch(train) [183][240/314] lr: 2.6780e-02 eta: 1:41:02 time: 0.3420 data_time: 0.0432 memory: 9706 grad_norm: 1.5554 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1545 loss: 0.1545 2022/08/05 18:31:19 - mmengine - INFO - Epoch(train) [183][260/314] lr: 2.6724e-02 eta: 1:40:55 time: 0.3632 data_time: 0.0457 memory: 9706 grad_norm: 1.4846 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1487 loss: 0.1487 2022/08/05 18:31:26 - mmengine - INFO - Epoch(train) [183][280/314] lr: 2.6667e-02 eta: 1:40:49 time: 0.3364 data_time: 0.0404 memory: 9706 grad_norm: 1.3921 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1585 loss: 0.1585 2022/08/05 18:31:33 - mmengine - INFO - Epoch(train) [183][300/314] lr: 2.6610e-02 eta: 1:40:42 time: 0.3455 data_time: 0.0424 memory: 9706 grad_norm: 1.3046 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1500 loss: 0.1500 2022/08/05 18:31:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:31:37 - mmengine - INFO - Epoch(train) [183][314/314] lr: 2.6571e-02 eta: 1:40:42 time: 0.2975 data_time: 0.0373 memory: 9706 grad_norm: 1.4727 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1334 loss: 0.1334 2022/08/05 18:31:37 - mmengine - INFO - Saving checkpoint at 183 epochs 2022/08/05 18:31:48 - mmengine - INFO - Epoch(train) [184][20/314] lr: 2.6514e-02 eta: 1:40:30 time: 0.4526 data_time: 0.1687 memory: 9706 grad_norm: 1.3623 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1140 loss: 0.1140 2022/08/05 18:31:55 - mmengine - INFO - Epoch(train) [184][40/314] lr: 2.6457e-02 eta: 1:40:23 time: 0.3490 data_time: 0.0533 memory: 9706 grad_norm: 1.6039 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1433 loss: 0.1433 2022/08/05 18:32:02 - mmengine - INFO - Epoch(train) [184][60/314] lr: 2.6401e-02 eta: 1:40:16 time: 0.3500 data_time: 0.0511 memory: 9706 grad_norm: 1.4859 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1749 loss: 0.1749 2022/08/05 18:32:09 - mmengine - INFO - Epoch(train) [184][80/314] lr: 2.6345e-02 eta: 1:40:10 time: 0.3481 data_time: 0.0464 memory: 9706 grad_norm: 1.4986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1525 loss: 0.1525 2022/08/05 18:32:16 - mmengine - INFO - Epoch(train) [184][100/314] lr: 2.6288e-02 eta: 1:40:03 time: 0.3328 data_time: 0.0444 memory: 9706 grad_norm: 1.2728 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1280 loss: 0.1280 2022/08/05 18:32:23 - mmengine - INFO - Epoch(train) [184][120/314] lr: 2.6232e-02 eta: 1:39:56 time: 0.3529 data_time: 0.0494 memory: 9706 grad_norm: 1.3072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1166 loss: 0.1166 2022/08/05 18:32:30 - mmengine - INFO - Epoch(train) [184][140/314] lr: 2.6176e-02 eta: 1:39:50 time: 0.3398 data_time: 0.0474 memory: 9706 grad_norm: 1.3758 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1084 loss: 0.1084 2022/08/05 18:32:37 - mmengine - INFO - Epoch(train) [184][160/314] lr: 2.6119e-02 eta: 1:39:43 time: 0.3482 data_time: 0.0521 memory: 9706 grad_norm: 1.3156 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1378 loss: 0.1378 2022/08/05 18:32:44 - mmengine - INFO - Epoch(train) [184][180/314] lr: 2.6063e-02 eta: 1:39:36 time: 0.3446 data_time: 0.0475 memory: 9706 grad_norm: 1.3658 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1305 loss: 0.1305 2022/08/05 18:32:51 - mmengine - INFO - Epoch(train) [184][200/314] lr: 2.6007e-02 eta: 1:39:29 time: 0.3442 data_time: 0.0540 memory: 9706 grad_norm: 1.3856 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1367 loss: 0.1367 2022/08/05 18:32:58 - mmengine - INFO - Epoch(train) [184][220/314] lr: 2.5951e-02 eta: 1:39:23 time: 0.3455 data_time: 0.0433 memory: 9706 grad_norm: 1.4454 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1352 loss: 0.1352 2022/08/05 18:33:04 - mmengine - INFO - Epoch(train) [184][240/314] lr: 2.5895e-02 eta: 1:39:16 time: 0.3449 data_time: 0.0561 memory: 9706 grad_norm: 1.3839 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1160 loss: 0.1160 2022/08/05 18:33:11 - mmengine - INFO - Epoch(train) [184][260/314] lr: 2.5839e-02 eta: 1:39:09 time: 0.3445 data_time: 0.0429 memory: 9706 grad_norm: 1.4617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1540 loss: 0.1540 2022/08/05 18:33:18 - mmengine - INFO - Epoch(train) [184][280/314] lr: 2.5783e-02 eta: 1:39:03 time: 0.3445 data_time: 0.0407 memory: 9706 grad_norm: 1.3972 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1372 loss: 0.1372 2022/08/05 18:33:25 - mmengine - INFO - Epoch(train) [184][300/314] lr: 2.5727e-02 eta: 1:38:56 time: 0.3431 data_time: 0.0452 memory: 9706 grad_norm: 1.5301 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1526 loss: 0.1526 2022/08/05 18:33:29 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:33:29 - mmengine - INFO - Epoch(train) [184][314/314] lr: 2.5688e-02 eta: 1:38:56 time: 0.2881 data_time: 0.0372 memory: 9706 grad_norm: 1.5928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1445 loss: 0.1445 2022/08/05 18:33:29 - mmengine - INFO - Saving checkpoint at 184 epochs 2022/08/05 18:33:41 - mmengine - INFO - Epoch(train) [185][20/314] lr: 2.5633e-02 eta: 1:38:44 time: 0.4486 data_time: 0.1728 memory: 9706 grad_norm: 1.4975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1394 loss: 0.1394 2022/08/05 18:33:48 - mmengine - INFO - Epoch(train) [185][40/314] lr: 2.5577e-02 eta: 1:38:37 time: 0.3429 data_time: 0.0443 memory: 9706 grad_norm: 1.4821 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1288 loss: 0.1288 2022/08/05 18:33:55 - mmengine - INFO - Epoch(train) [185][60/314] lr: 2.5521e-02 eta: 1:38:30 time: 0.3503 data_time: 0.0492 memory: 9706 grad_norm: 1.3872 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1106 loss: 0.1106 2022/08/05 18:34:01 - mmengine - INFO - Epoch(train) [185][80/314] lr: 2.5466e-02 eta: 1:38:24 time: 0.3337 data_time: 0.0419 memory: 9706 grad_norm: 1.3028 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1119 loss: 0.1119 2022/08/05 18:34:08 - mmengine - INFO - Epoch(train) [185][100/314] lr: 2.5410e-02 eta: 1:38:17 time: 0.3471 data_time: 0.0435 memory: 9706 grad_norm: 1.3350 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1297 loss: 0.1297 2022/08/05 18:34:15 - mmengine - INFO - Epoch(train) [185][120/314] lr: 2.5354e-02 eta: 1:38:10 time: 0.3512 data_time: 0.0525 memory: 9706 grad_norm: 1.3859 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1321 loss: 0.1321 2022/08/05 18:34:22 - mmengine - INFO - Epoch(train) [185][140/314] lr: 2.5299e-02 eta: 1:38:04 time: 0.3373 data_time: 0.0409 memory: 9706 grad_norm: 1.5014 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1529 loss: 0.1529 2022/08/05 18:34:29 - mmengine - INFO - Epoch(train) [185][160/314] lr: 2.5244e-02 eta: 1:37:57 time: 0.3466 data_time: 0.0447 memory: 9706 grad_norm: 1.5079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1273 loss: 0.1273 2022/08/05 18:34:36 - mmengine - INFO - Epoch(train) [185][180/314] lr: 2.5188e-02 eta: 1:37:50 time: 0.3537 data_time: 0.0478 memory: 9706 grad_norm: 1.5440 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1218 loss: 0.1218 2022/08/05 18:34:43 - mmengine - INFO - Epoch(train) [185][200/314] lr: 2.5133e-02 eta: 1:37:43 time: 0.3458 data_time: 0.0466 memory: 9706 grad_norm: 1.3050 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1742 loss: 0.1742 2022/08/05 18:34:50 - mmengine - INFO - Epoch(train) [185][220/314] lr: 2.5078e-02 eta: 1:37:37 time: 0.3494 data_time: 0.0422 memory: 9706 grad_norm: 1.5052 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1337 loss: 0.1337 2022/08/05 18:34:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:34:57 - mmengine - INFO - Epoch(train) [185][240/314] lr: 2.5023e-02 eta: 1:37:30 time: 0.3412 data_time: 0.0436 memory: 9706 grad_norm: 1.4599 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1396 loss: 0.1396 2022/08/05 18:35:04 - mmengine - INFO - Epoch(train) [185][260/314] lr: 2.4967e-02 eta: 1:37:23 time: 0.3492 data_time: 0.0505 memory: 9706 grad_norm: 1.4668 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1573 loss: 0.1573 2022/08/05 18:35:11 - mmengine - INFO - Epoch(train) [185][280/314] lr: 2.4912e-02 eta: 1:37:17 time: 0.3442 data_time: 0.0552 memory: 9706 grad_norm: 1.3334 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1073 loss: 0.1073 2022/08/05 18:35:17 - mmengine - INFO - Epoch(train) [185][300/314] lr: 2.4857e-02 eta: 1:37:10 time: 0.3379 data_time: 0.0404 memory: 9706 grad_norm: 1.4266 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1669 loss: 0.1669 2022/08/05 18:35:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:35:22 - mmengine - INFO - Epoch(train) [185][314/314] lr: 2.4819e-02 eta: 1:37:10 time: 0.3079 data_time: 0.0391 memory: 9706 grad_norm: 1.6698 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2155 loss: 0.2155 2022/08/05 18:35:22 - mmengine - INFO - Saving checkpoint at 185 epochs 2022/08/05 18:35:33 - mmengine - INFO - Epoch(train) [186][20/314] lr: 2.4764e-02 eta: 1:36:58 time: 0.4578 data_time: 0.1838 memory: 9706 grad_norm: 1.4166 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1501 loss: 0.1501 2022/08/05 18:35:40 - mmengine - INFO - Epoch(train) [186][40/314] lr: 2.4709e-02 eta: 1:36:51 time: 0.3627 data_time: 0.0477 memory: 9706 grad_norm: 1.3990 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1376 loss: 0.1376 2022/08/05 18:35:47 - mmengine - INFO - Epoch(train) [186][60/314] lr: 2.4654e-02 eta: 1:36:44 time: 0.3388 data_time: 0.0382 memory: 9706 grad_norm: 1.5587 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1657 loss: 0.1657 2022/08/05 18:35:54 - mmengine - INFO - Epoch(train) [186][80/314] lr: 2.4599e-02 eta: 1:36:38 time: 0.3434 data_time: 0.0430 memory: 9706 grad_norm: 1.3058 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1102 loss: 0.1102 2022/08/05 18:36:01 - mmengine - INFO - Epoch(train) [186][100/314] lr: 2.4545e-02 eta: 1:36:31 time: 0.3579 data_time: 0.0409 memory: 9706 grad_norm: 1.4164 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1167 loss: 0.1167 2022/08/05 18:36:08 - mmengine - INFO - Epoch(train) [186][120/314] lr: 2.4490e-02 eta: 1:36:24 time: 0.3414 data_time: 0.0414 memory: 9706 grad_norm: 1.3744 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1227 loss: 0.1227 2022/08/05 18:36:15 - mmengine - INFO - Epoch(train) [186][140/314] lr: 2.4435e-02 eta: 1:36:18 time: 0.3466 data_time: 0.0474 memory: 9706 grad_norm: 1.4119 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1348 loss: 0.1348 2022/08/05 18:36:22 - mmengine - INFO - Epoch(train) [186][160/314] lr: 2.4381e-02 eta: 1:36:11 time: 0.3420 data_time: 0.0435 memory: 9706 grad_norm: 1.4569 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1162 loss: 0.1162 2022/08/05 18:36:29 - mmengine - INFO - Epoch(train) [186][180/314] lr: 2.4326e-02 eta: 1:36:04 time: 0.3450 data_time: 0.0546 memory: 9706 grad_norm: 1.4958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1793 loss: 0.1793 2022/08/05 18:36:36 - mmengine - INFO - Epoch(train) [186][200/314] lr: 2.4272e-02 eta: 1:35:58 time: 0.3423 data_time: 0.0470 memory: 9706 grad_norm: 1.3719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1130 loss: 0.1130 2022/08/05 18:36:43 - mmengine - INFO - Epoch(train) [186][220/314] lr: 2.4217e-02 eta: 1:35:51 time: 0.3512 data_time: 0.0424 memory: 9706 grad_norm: 1.3881 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1006 loss: 0.1006 2022/08/05 18:36:50 - mmengine - INFO - Epoch(train) [186][240/314] lr: 2.4163e-02 eta: 1:35:44 time: 0.3539 data_time: 0.0512 memory: 9706 grad_norm: 1.3755 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1077 loss: 0.1077 2022/08/05 18:36:57 - mmengine - INFO - Epoch(train) [186][260/314] lr: 2.4109e-02 eta: 1:35:38 time: 0.3430 data_time: 0.0458 memory: 9706 grad_norm: 1.4096 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1292 loss: 0.1292 2022/08/05 18:37:04 - mmengine - INFO - Epoch(train) [186][280/314] lr: 2.4054e-02 eta: 1:35:31 time: 0.3568 data_time: 0.0565 memory: 9706 grad_norm: 1.4847 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1594 loss: 0.1594 2022/08/05 18:37:11 - mmengine - INFO - Epoch(train) [186][300/314] lr: 2.4000e-02 eta: 1:35:24 time: 0.3433 data_time: 0.0477 memory: 9706 grad_norm: 1.5544 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2022 loss: 0.2022 2022/08/05 18:37:14 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:37:14 - mmengine - INFO - Epoch(train) [186][314/314] lr: 2.3962e-02 eta: 1:35:24 time: 0.2897 data_time: 0.0358 memory: 9706 grad_norm: 1.4965 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.2058 loss: 0.2058 2022/08/05 18:37:14 - mmengine - INFO - Saving checkpoint at 186 epochs 2022/08/05 18:37:26 - mmengine - INFO - Epoch(train) [187][20/314] lr: 2.3908e-02 eta: 1:35:12 time: 0.4669 data_time: 0.1794 memory: 9706 grad_norm: 1.3327 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1113 loss: 0.1113 2022/08/05 18:37:33 - mmengine - INFO - Epoch(train) [187][40/314] lr: 2.3854e-02 eta: 1:35:05 time: 0.3469 data_time: 0.0456 memory: 9706 grad_norm: 1.2703 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1147 loss: 0.1147 2022/08/05 18:37:40 - mmengine - INFO - Epoch(train) [187][60/314] lr: 2.3800e-02 eta: 1:34:59 time: 0.3453 data_time: 0.0442 memory: 9706 grad_norm: 1.4785 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1316 loss: 0.1316 2022/08/05 18:37:47 - mmengine - INFO - Epoch(train) [187][80/314] lr: 2.3746e-02 eta: 1:34:52 time: 0.3553 data_time: 0.0435 memory: 9706 grad_norm: 1.3132 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1110 loss: 0.1110 2022/08/05 18:37:54 - mmengine - INFO - Epoch(train) [187][100/314] lr: 2.3692e-02 eta: 1:34:45 time: 0.3533 data_time: 0.0406 memory: 9706 grad_norm: 1.3151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1034 loss: 0.1034 2022/08/05 18:38:01 - mmengine - INFO - Epoch(train) [187][120/314] lr: 2.3638e-02 eta: 1:34:39 time: 0.3409 data_time: 0.0406 memory: 9706 grad_norm: 1.5411 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0927 loss: 0.0927 2022/08/05 18:38:08 - mmengine - INFO - Epoch(train) [187][140/314] lr: 2.3584e-02 eta: 1:34:32 time: 0.3493 data_time: 0.0419 memory: 9706 grad_norm: 1.4379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1106 loss: 0.1106 2022/08/05 18:38:16 - mmengine - INFO - Epoch(train) [187][160/314] lr: 2.3531e-02 eta: 1:34:25 time: 0.3667 data_time: 0.0418 memory: 9706 grad_norm: 1.4165 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1214 loss: 0.1214 2022/08/05 18:38:22 - mmengine - INFO - Epoch(train) [187][180/314] lr: 2.3477e-02 eta: 1:34:19 time: 0.3413 data_time: 0.0436 memory: 9706 grad_norm: 1.5154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1569 loss: 0.1569 2022/08/05 18:38:29 - mmengine - INFO - Epoch(train) [187][200/314] lr: 2.3423e-02 eta: 1:34:12 time: 0.3454 data_time: 0.0436 memory: 9706 grad_norm: 1.5194 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1408 loss: 0.1408 2022/08/05 18:38:36 - mmengine - INFO - Epoch(train) [187][220/314] lr: 2.3370e-02 eta: 1:34:05 time: 0.3456 data_time: 0.0456 memory: 9706 grad_norm: 1.4401 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1330 loss: 0.1330 2022/08/05 18:38:43 - mmengine - INFO - Epoch(train) [187][240/314] lr: 2.3316e-02 eta: 1:33:59 time: 0.3439 data_time: 0.0505 memory: 9706 grad_norm: 1.4784 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1012 loss: 0.1012 2022/08/05 18:38:50 - mmengine - INFO - Epoch(train) [187][260/314] lr: 2.3263e-02 eta: 1:33:52 time: 0.3536 data_time: 0.0459 memory: 9706 grad_norm: 1.3714 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1159 loss: 0.1159 2022/08/05 18:38:57 - mmengine - INFO - Epoch(train) [187][280/314] lr: 2.3209e-02 eta: 1:33:45 time: 0.3425 data_time: 0.0423 memory: 9706 grad_norm: 1.4989 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1204 loss: 0.1204 2022/08/05 18:39:04 - mmengine - INFO - Epoch(train) [187][300/314] lr: 2.3156e-02 eta: 1:33:39 time: 0.3424 data_time: 0.0493 memory: 9706 grad_norm: 1.4619 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1044 loss: 0.1044 2022/08/05 18:39:08 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:39:08 - mmengine - INFO - Epoch(train) [187][314/314] lr: 2.3118e-02 eta: 1:33:39 time: 0.2964 data_time: 0.0407 memory: 9706 grad_norm: 1.5967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0821 loss: 0.0821 2022/08/05 18:39:08 - mmengine - INFO - Saving checkpoint at 187 epochs 2022/08/05 18:39:20 - mmengine - INFO - Epoch(train) [188][20/314] lr: 2.3065e-02 eta: 1:33:26 time: 0.4700 data_time: 0.1900 memory: 9706 grad_norm: 1.5359 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1255 loss: 0.1255 2022/08/05 18:39:27 - mmengine - INFO - Epoch(train) [188][40/314] lr: 2.3012e-02 eta: 1:33:20 time: 0.3408 data_time: 0.0444 memory: 9706 grad_norm: 1.3794 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1198 loss: 0.1198 2022/08/05 18:39:34 - mmengine - INFO - Epoch(train) [188][60/314] lr: 2.2959e-02 eta: 1:33:13 time: 0.3496 data_time: 0.0424 memory: 9706 grad_norm: 1.4416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1048 loss: 0.1048 2022/08/05 18:39:41 - mmengine - INFO - Epoch(train) [188][80/314] lr: 2.2906e-02 eta: 1:33:06 time: 0.3439 data_time: 0.0470 memory: 9706 grad_norm: 1.5089 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1320 loss: 0.1320 2022/08/05 18:39:48 - mmengine - INFO - Epoch(train) [188][100/314] lr: 2.2853e-02 eta: 1:33:00 time: 0.3396 data_time: 0.0425 memory: 9706 grad_norm: 1.5098 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1263 loss: 0.1263 2022/08/05 18:39:54 - mmengine - INFO - Epoch(train) [188][120/314] lr: 2.2800e-02 eta: 1:32:53 time: 0.3446 data_time: 0.0445 memory: 9706 grad_norm: 1.3179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1332 loss: 0.1332 2022/08/05 18:40:01 - mmengine - INFO - Epoch(train) [188][140/314] lr: 2.2747e-02 eta: 1:32:46 time: 0.3416 data_time: 0.0448 memory: 9706 grad_norm: 1.3585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1482 loss: 0.1482 2022/08/05 18:40:08 - mmengine - INFO - Epoch(train) [188][160/314] lr: 2.2694e-02 eta: 1:32:40 time: 0.3508 data_time: 0.0553 memory: 9706 grad_norm: 1.3706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0934 loss: 0.0934 2022/08/05 18:40:15 - mmengine - INFO - Epoch(train) [188][180/314] lr: 2.2641e-02 eta: 1:32:33 time: 0.3408 data_time: 0.0430 memory: 9706 grad_norm: 1.5224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1444 loss: 0.1444 2022/08/05 18:40:22 - mmengine - INFO - Epoch(train) [188][200/314] lr: 2.2588e-02 eta: 1:32:26 time: 0.3480 data_time: 0.0453 memory: 9706 grad_norm: 1.4873 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1003 loss: 0.1003 2022/08/05 18:40:29 - mmengine - INFO - Epoch(train) [188][220/314] lr: 2.2535e-02 eta: 1:32:19 time: 0.3400 data_time: 0.0495 memory: 9706 grad_norm: 1.5430 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1269 loss: 0.1269 2022/08/05 18:40:36 - mmengine - INFO - Epoch(train) [188][240/314] lr: 2.2483e-02 eta: 1:32:13 time: 0.3598 data_time: 0.0408 memory: 9706 grad_norm: 1.4270 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0987 loss: 0.0987 2022/08/05 18:40:43 - mmengine - INFO - Epoch(train) [188][260/314] lr: 2.2430e-02 eta: 1:32:06 time: 0.3449 data_time: 0.0424 memory: 9706 grad_norm: 1.5205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1180 loss: 0.1180 2022/08/05 18:40:50 - mmengine - INFO - Epoch(train) [188][280/314] lr: 2.2377e-02 eta: 1:31:59 time: 0.3560 data_time: 0.0510 memory: 9706 grad_norm: 1.2338 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0956 loss: 0.0956 2022/08/05 18:40:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:40:57 - mmengine - INFO - Epoch(train) [188][300/314] lr: 2.2325e-02 eta: 1:31:53 time: 0.3362 data_time: 0.0407 memory: 9706 grad_norm: 1.5450 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1272 loss: 0.1272 2022/08/05 18:41:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:41:01 - mmengine - INFO - Epoch(train) [188][314/314] lr: 2.2288e-02 eta: 1:31:53 time: 0.3040 data_time: 0.0391 memory: 9706 grad_norm: 1.6418 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1256 loss: 0.1256 2022/08/05 18:41:01 - mmengine - INFO - Saving checkpoint at 188 epochs 2022/08/05 18:41:13 - mmengine - INFO - Epoch(train) [189][20/314] lr: 2.2236e-02 eta: 1:31:41 time: 0.4582 data_time: 0.1773 memory: 9706 grad_norm: 1.4969 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1270 loss: 0.1270 2022/08/05 18:41:20 - mmengine - INFO - Epoch(train) [189][40/314] lr: 2.2183e-02 eta: 1:31:34 time: 0.3384 data_time: 0.0434 memory: 9706 grad_norm: 1.3832 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1090 loss: 0.1090 2022/08/05 18:41:26 - mmengine - INFO - Epoch(train) [189][60/314] lr: 2.2131e-02 eta: 1:31:27 time: 0.3456 data_time: 0.0492 memory: 9706 grad_norm: 1.3102 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.1353 loss: 0.1353 2022/08/05 18:41:33 - mmengine - INFO - Epoch(train) [189][80/314] lr: 2.2079e-02 eta: 1:31:20 time: 0.3399 data_time: 0.0416 memory: 9706 grad_norm: 1.4151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1129 loss: 0.1129 2022/08/05 18:41:40 - mmengine - INFO - Epoch(train) [189][100/314] lr: 2.2026e-02 eta: 1:31:14 time: 0.3505 data_time: 0.0476 memory: 9706 grad_norm: 1.3108 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1176 loss: 0.1176 2022/08/05 18:41:47 - mmengine - INFO - Epoch(train) [189][120/314] lr: 2.1974e-02 eta: 1:31:07 time: 0.3384 data_time: 0.0463 memory: 9706 grad_norm: 1.3805 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1152 loss: 0.1152 2022/08/05 18:41:54 - mmengine - INFO - Epoch(train) [189][140/314] lr: 2.1922e-02 eta: 1:31:00 time: 0.3532 data_time: 0.0527 memory: 9706 grad_norm: 1.3191 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0902 loss: 0.0902 2022/08/05 18:42:01 - mmengine - INFO - Epoch(train) [189][160/314] lr: 2.1870e-02 eta: 1:30:54 time: 0.3373 data_time: 0.0447 memory: 9706 grad_norm: 1.3994 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0884 loss: 0.0884 2022/08/05 18:42:08 - mmengine - INFO - Epoch(train) [189][180/314] lr: 2.1818e-02 eta: 1:30:47 time: 0.3500 data_time: 0.0448 memory: 9706 grad_norm: 1.4502 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1099 loss: 0.1099 2022/08/05 18:42:15 - mmengine - INFO - Epoch(train) [189][200/314] lr: 2.1766e-02 eta: 1:30:40 time: 0.3412 data_time: 0.0438 memory: 9706 grad_norm: 1.3946 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1242 loss: 0.1242 2022/08/05 18:42:22 - mmengine - INFO - Epoch(train) [189][220/314] lr: 2.1714e-02 eta: 1:30:33 time: 0.3496 data_time: 0.0504 memory: 9706 grad_norm: 1.5717 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1034 loss: 0.1034 2022/08/05 18:42:29 - mmengine - INFO - Epoch(train) [189][240/314] lr: 2.1662e-02 eta: 1:30:27 time: 0.3392 data_time: 0.0435 memory: 9706 grad_norm: 1.4866 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1216 loss: 0.1216 2022/08/05 18:42:35 - mmengine - INFO - Epoch(train) [189][260/314] lr: 2.1610e-02 eta: 1:30:20 time: 0.3409 data_time: 0.0439 memory: 9706 grad_norm: 1.6025 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1570 loss: 0.1570 2022/08/05 18:42:42 - mmengine - INFO - Epoch(train) [189][280/314] lr: 2.1559e-02 eta: 1:30:13 time: 0.3479 data_time: 0.0506 memory: 9706 grad_norm: 1.4049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1253 loss: 0.1253 2022/08/05 18:42:49 - mmengine - INFO - Epoch(train) [189][300/314] lr: 2.1507e-02 eta: 1:30:07 time: 0.3388 data_time: 0.0467 memory: 9706 grad_norm: 1.2853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1150 loss: 0.1150 2022/08/05 18:42:53 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:42:53 - mmengine - INFO - Epoch(train) [189][314/314] lr: 2.1471e-02 eta: 1:30:07 time: 0.2906 data_time: 0.0418 memory: 9706 grad_norm: 1.4777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0829 loss: 0.0829 2022/08/05 18:42:53 - mmengine - INFO - Saving checkpoint at 189 epochs 2022/08/05 18:43:05 - mmengine - INFO - Epoch(train) [190][20/314] lr: 2.1419e-02 eta: 1:29:55 time: 0.4682 data_time: 0.1936 memory: 9706 grad_norm: 1.5224 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1275 loss: 0.1275 2022/08/05 18:43:12 - mmengine - INFO - Epoch(train) [190][40/314] lr: 2.1368e-02 eta: 1:29:48 time: 0.3470 data_time: 0.0444 memory: 9706 grad_norm: 1.4888 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1165 loss: 0.1165 2022/08/05 18:43:19 - mmengine - INFO - Epoch(train) [190][60/314] lr: 2.1316e-02 eta: 1:29:41 time: 0.3400 data_time: 0.0422 memory: 9706 grad_norm: 1.3885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1300 loss: 0.1300 2022/08/05 18:43:26 - mmengine - INFO - Epoch(train) [190][80/314] lr: 2.1265e-02 eta: 1:29:34 time: 0.3479 data_time: 0.0506 memory: 9706 grad_norm: 1.3746 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0906 loss: 0.0906 2022/08/05 18:43:33 - mmengine - INFO - Epoch(train) [190][100/314] lr: 2.1213e-02 eta: 1:29:28 time: 0.3560 data_time: 0.0434 memory: 9706 grad_norm: 1.3173 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1404 loss: 0.1404 2022/08/05 18:43:40 - mmengine - INFO - Epoch(train) [190][120/314] lr: 2.1162e-02 eta: 1:29:21 time: 0.3401 data_time: 0.0442 memory: 9706 grad_norm: 1.4539 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1470 loss: 0.1470 2022/08/05 18:43:47 - mmengine - INFO - Epoch(train) [190][140/314] lr: 2.1111e-02 eta: 1:29:14 time: 0.3415 data_time: 0.0473 memory: 9706 grad_norm: 1.4052 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1294 loss: 0.1294 2022/08/05 18:43:54 - mmengine - INFO - Epoch(train) [190][160/314] lr: 2.1060e-02 eta: 1:29:08 time: 0.3513 data_time: 0.0491 memory: 9706 grad_norm: 1.2908 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1232 loss: 0.1232 2022/08/05 18:44:00 - mmengine - INFO - Epoch(train) [190][180/314] lr: 2.1009e-02 eta: 1:29:01 time: 0.3428 data_time: 0.0535 memory: 9706 grad_norm: 1.5188 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1377 loss: 0.1377 2022/08/05 18:44:07 - mmengine - INFO - Epoch(train) [190][200/314] lr: 2.0957e-02 eta: 1:28:54 time: 0.3483 data_time: 0.0464 memory: 9706 grad_norm: 1.6113 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1015 loss: 0.1015 2022/08/05 18:44:15 - mmengine - INFO - Epoch(train) [190][220/314] lr: 2.0906e-02 eta: 1:28:48 time: 0.3550 data_time: 0.0471 memory: 9706 grad_norm: 1.4064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0953 loss: 0.0953 2022/08/05 18:44:21 - mmengine - INFO - Epoch(train) [190][240/314] lr: 2.0855e-02 eta: 1:28:41 time: 0.3465 data_time: 0.0419 memory: 9706 grad_norm: 1.4877 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1208 loss: 0.1208 2022/08/05 18:44:28 - mmengine - INFO - Epoch(train) [190][260/314] lr: 2.0804e-02 eta: 1:28:34 time: 0.3375 data_time: 0.0435 memory: 9706 grad_norm: 1.3963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0998 loss: 0.0998 2022/08/05 18:44:35 - mmengine - INFO - Epoch(train) [190][280/314] lr: 2.0754e-02 eta: 1:28:27 time: 0.3380 data_time: 0.0462 memory: 9706 grad_norm: 1.4276 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0929 loss: 0.0929 2022/08/05 18:44:42 - mmengine - INFO - Epoch(train) [190][300/314] lr: 2.0703e-02 eta: 1:28:21 time: 0.3606 data_time: 0.0534 memory: 9706 grad_norm: 1.5368 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1023 loss: 0.1023 2022/08/05 18:44:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:44:46 - mmengine - INFO - Epoch(train) [190][314/314] lr: 2.0667e-02 eta: 1:28:21 time: 0.2846 data_time: 0.0359 memory: 9706 grad_norm: 1.6156 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1312 loss: 0.1312 2022/08/05 18:44:46 - mmengine - INFO - Saving checkpoint at 190 epochs 2022/08/05 18:44:58 - mmengine - INFO - Epoch(val) [190][20/129] eta: 0:00:49 time: 0.4545 data_time: 0.2714 memory: 1867 2022/08/05 18:45:05 - mmengine - INFO - Epoch(val) [190][40/129] eta: 0:00:30 time: 0.3449 data_time: 0.1571 memory: 1867 2022/08/05 18:45:12 - mmengine - INFO - Epoch(val) [190][60/129] eta: 0:00:23 time: 0.3451 data_time: 0.1668 memory: 1867 2022/08/05 18:45:18 - mmengine - INFO - Epoch(val) [190][80/129] eta: 0:00:15 time: 0.3195 data_time: 0.1346 memory: 1867 2022/08/05 18:45:25 - mmengine - INFO - Epoch(val) [190][100/129] eta: 0:00:09 time: 0.3347 data_time: 0.1500 memory: 1867 2022/08/05 18:45:30 - mmengine - INFO - Epoch(val) [190][120/129] eta: 0:00:02 time: 0.2629 data_time: 0.1058 memory: 1867 2022/08/05 18:45:32 - mmengine - INFO - Epoch(val) [190][129/129] acc/top1: 0.9051 acc/top5: 0.9926 acc/mean1: 0.9050 2022/08/05 18:45:32 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_181.pth is removed 2022/08/05 18:45:35 - mmengine - INFO - The best checkpoint with 0.9051 acc/top1 at 191 epoch is saved to best_acc/top1_epoch_191.pth. 2022/08/05 18:45:44 - mmengine - INFO - Epoch(train) [191][20/314] lr: 2.0616e-02 eta: 1:28:09 time: 0.4590 data_time: 0.1824 memory: 9706 grad_norm: 1.4105 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0912 loss: 0.0912 2022/08/05 18:45:51 - mmengine - INFO - Epoch(train) [191][40/314] lr: 2.0566e-02 eta: 1:28:02 time: 0.3455 data_time: 0.0456 memory: 9706 grad_norm: 1.3788 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1124 loss: 0.1124 2022/08/05 18:45:57 - mmengine - INFO - Epoch(train) [191][60/314] lr: 2.0515e-02 eta: 1:27:55 time: 0.3343 data_time: 0.0423 memory: 9706 grad_norm: 1.4511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1007 loss: 0.1007 2022/08/05 18:46:04 - mmengine - INFO - Epoch(train) [191][80/314] lr: 2.0465e-02 eta: 1:27:49 time: 0.3451 data_time: 0.0518 memory: 9706 grad_norm: 1.3850 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0780 loss: 0.0780 2022/08/05 18:46:12 - mmengine - INFO - Epoch(train) [191][100/314] lr: 2.0414e-02 eta: 1:27:42 time: 0.3583 data_time: 0.0470 memory: 9706 grad_norm: 1.4302 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0828 loss: 0.0828 2022/08/05 18:46:18 - mmengine - INFO - Epoch(train) [191][120/314] lr: 2.0364e-02 eta: 1:27:35 time: 0.3366 data_time: 0.0469 memory: 9706 grad_norm: 1.4753 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1048 loss: 0.1048 2022/08/05 18:46:25 - mmengine - INFO - Epoch(train) [191][140/314] lr: 2.0313e-02 eta: 1:27:28 time: 0.3442 data_time: 0.0453 memory: 9706 grad_norm: 1.3797 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0854 loss: 0.0854 2022/08/05 18:46:32 - mmengine - INFO - Epoch(train) [191][160/314] lr: 2.0263e-02 eta: 1:27:22 time: 0.3508 data_time: 0.0450 memory: 9706 grad_norm: 1.4027 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1200 loss: 0.1200 2022/08/05 18:46:39 - mmengine - INFO - Epoch(train) [191][180/314] lr: 2.0213e-02 eta: 1:27:15 time: 0.3451 data_time: 0.0395 memory: 9706 grad_norm: 1.4940 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0895 loss: 0.0895 2022/08/05 18:46:46 - mmengine - INFO - Epoch(train) [191][200/314] lr: 2.0162e-02 eta: 1:27:08 time: 0.3398 data_time: 0.0537 memory: 9706 grad_norm: 1.5722 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1435 loss: 0.1435 2022/08/05 18:46:53 - mmengine - INFO - Epoch(train) [191][220/314] lr: 2.0112e-02 eta: 1:27:02 time: 0.3466 data_time: 0.0511 memory: 9706 grad_norm: 1.4663 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1344 loss: 0.1344 2022/08/05 18:47:00 - mmengine - INFO - Epoch(train) [191][240/314] lr: 2.0062e-02 eta: 1:26:55 time: 0.3373 data_time: 0.0436 memory: 9706 grad_norm: 1.5344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1483 loss: 0.1483 2022/08/05 18:47:07 - mmengine - INFO - Epoch(train) [191][260/314] lr: 2.0012e-02 eta: 1:26:48 time: 0.3483 data_time: 0.0427 memory: 9706 grad_norm: 1.4835 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1371 loss: 0.1371 2022/08/05 18:47:14 - mmengine - INFO - Epoch(train) [191][280/314] lr: 1.9962e-02 eta: 1:26:42 time: 0.3544 data_time: 0.0449 memory: 9706 grad_norm: 1.3883 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1215 loss: 0.1215 2022/08/05 18:47:21 - mmengine - INFO - Epoch(train) [191][300/314] lr: 1.9912e-02 eta: 1:26:35 time: 0.3490 data_time: 0.0447 memory: 9706 grad_norm: 1.3180 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0893 loss: 0.0893 2022/08/05 18:47:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:47:24 - mmengine - INFO - Epoch(train) [191][314/314] lr: 1.9877e-02 eta: 1:26:35 time: 0.2998 data_time: 0.0374 memory: 9706 grad_norm: 1.5539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1327 loss: 0.1327 2022/08/05 18:47:24 - mmengine - INFO - Saving checkpoint at 191 epochs 2022/08/05 18:47:36 - mmengine - INFO - Epoch(train) [192][20/314] lr: 1.9827e-02 eta: 1:26:23 time: 0.4687 data_time: 0.1955 memory: 9706 grad_norm: 1.4954 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1041 loss: 0.1041 2022/08/05 18:47:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:47:43 - mmengine - INFO - Epoch(train) [192][40/314] lr: 1.9777e-02 eta: 1:26:16 time: 0.3495 data_time: 0.0465 memory: 9706 grad_norm: 1.4308 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0760 loss: 0.0760 2022/08/05 18:47:50 - mmengine - INFO - Epoch(train) [192][60/314] lr: 1.9728e-02 eta: 1:26:09 time: 0.3371 data_time: 0.0423 memory: 9706 grad_norm: 1.4887 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1043 loss: 0.1043 2022/08/05 18:47:57 - mmengine - INFO - Epoch(train) [192][80/314] lr: 1.9678e-02 eta: 1:26:03 time: 0.3437 data_time: 0.0422 memory: 9706 grad_norm: 1.4581 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1147 loss: 0.1147 2022/08/05 18:48:04 - mmengine - INFO - Epoch(train) [192][100/314] lr: 1.9628e-02 eta: 1:25:56 time: 0.3456 data_time: 0.0465 memory: 9706 grad_norm: 1.3954 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1147 loss: 0.1147 2022/08/05 18:48:11 - mmengine - INFO - Epoch(train) [192][120/314] lr: 1.9579e-02 eta: 1:25:49 time: 0.3434 data_time: 0.0479 memory: 9706 grad_norm: 1.4298 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0942 loss: 0.0942 2022/08/05 18:48:18 - mmengine - INFO - Epoch(train) [192][140/314] lr: 1.9529e-02 eta: 1:25:43 time: 0.3452 data_time: 0.0428 memory: 9706 grad_norm: 1.3988 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1305 loss: 0.1305 2022/08/05 18:48:25 - mmengine - INFO - Epoch(train) [192][160/314] lr: 1.9480e-02 eta: 1:25:36 time: 0.3474 data_time: 0.0425 memory: 9706 grad_norm: 1.4321 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.0905 loss: 0.0905 2022/08/05 18:48:32 - mmengine - INFO - Epoch(train) [192][180/314] lr: 1.9430e-02 eta: 1:25:29 time: 0.3415 data_time: 0.0434 memory: 9706 grad_norm: 1.5007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1035 loss: 0.1035 2022/08/05 18:48:39 - mmengine - INFO - Epoch(train) [192][200/314] lr: 1.9381e-02 eta: 1:25:22 time: 0.3477 data_time: 0.0560 memory: 9706 grad_norm: 1.4420 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1639 loss: 0.1639 2022/08/05 18:48:46 - mmengine - INFO - Epoch(train) [192][220/314] lr: 1.9332e-02 eta: 1:25:16 time: 0.3496 data_time: 0.0506 memory: 9706 grad_norm: 1.3749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0970 loss: 0.0970 2022/08/05 18:48:52 - mmengine - INFO - Epoch(train) [192][240/314] lr: 1.9282e-02 eta: 1:25:09 time: 0.3364 data_time: 0.0435 memory: 9706 grad_norm: 1.5085 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1471 loss: 0.1471 2022/08/05 18:48:59 - mmengine - INFO - Epoch(train) [192][260/314] lr: 1.9233e-02 eta: 1:25:02 time: 0.3436 data_time: 0.0543 memory: 9706 grad_norm: 1.5079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1497 loss: 0.1497 2022/08/05 18:49:06 - mmengine - INFO - Epoch(train) [192][280/314] lr: 1.9184e-02 eta: 1:24:56 time: 0.3475 data_time: 0.0450 memory: 9706 grad_norm: 1.4481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0959 loss: 0.0959 2022/08/05 18:49:13 - mmengine - INFO - Epoch(train) [192][300/314] lr: 1.9135e-02 eta: 1:24:49 time: 0.3475 data_time: 0.0532 memory: 9706 grad_norm: 1.5547 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1301 loss: 0.1301 2022/08/05 18:49:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:49:17 - mmengine - INFO - Epoch(train) [192][314/314] lr: 1.9101e-02 eta: 1:24:49 time: 0.2870 data_time: 0.0363 memory: 9706 grad_norm: 1.6681 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.1807 loss: 0.1807 2022/08/05 18:49:17 - mmengine - INFO - Saving checkpoint at 192 epochs 2022/08/05 18:49:29 - mmengine - INFO - Epoch(train) [193][20/314] lr: 1.9052e-02 eta: 1:24:37 time: 0.4549 data_time: 0.1808 memory: 9706 grad_norm: 1.5416 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1161 loss: 0.1161 2022/08/05 18:49:36 - mmengine - INFO - Epoch(train) [193][40/314] lr: 1.9003e-02 eta: 1:24:30 time: 0.3484 data_time: 0.0486 memory: 9706 grad_norm: 1.4846 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1329 loss: 0.1329 2022/08/05 18:49:43 - mmengine - INFO - Epoch(train) [193][60/314] lr: 1.8954e-02 eta: 1:24:23 time: 0.3455 data_time: 0.0426 memory: 9706 grad_norm: 1.4200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1072 loss: 0.1072 2022/08/05 18:49:49 - mmengine - INFO - Epoch(train) [193][80/314] lr: 1.8905e-02 eta: 1:24:17 time: 0.3452 data_time: 0.0412 memory: 9706 grad_norm: 1.4294 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1524 loss: 0.1524 2022/08/05 18:49:56 - mmengine - INFO - Epoch(train) [193][100/314] lr: 1.8856e-02 eta: 1:24:10 time: 0.3483 data_time: 0.0416 memory: 9706 grad_norm: 1.5474 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0907 loss: 0.0907 2022/08/05 18:50:03 - mmengine - INFO - Epoch(train) [193][120/314] lr: 1.8808e-02 eta: 1:24:03 time: 0.3452 data_time: 0.0446 memory: 9706 grad_norm: 1.6561 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1327 loss: 0.1327 2022/08/05 18:50:10 - mmengine - INFO - Epoch(train) [193][140/314] lr: 1.8759e-02 eta: 1:23:57 time: 0.3427 data_time: 0.0393 memory: 9706 grad_norm: 1.5440 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.2038 loss: 0.2038 2022/08/05 18:50:17 - mmengine - INFO - Epoch(train) [193][160/314] lr: 1.8710e-02 eta: 1:23:50 time: 0.3434 data_time: 0.0401 memory: 9706 grad_norm: 1.4613 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0872 loss: 0.0872 2022/08/05 18:50:24 - mmengine - INFO - Epoch(train) [193][180/314] lr: 1.8662e-02 eta: 1:23:43 time: 0.3485 data_time: 0.0408 memory: 9706 grad_norm: 1.4278 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1154 loss: 0.1154 2022/08/05 18:50:31 - mmengine - INFO - Epoch(train) [193][200/314] lr: 1.8613e-02 eta: 1:23:37 time: 0.3513 data_time: 0.0440 memory: 9706 grad_norm: 1.2034 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0651 loss: 0.0651 2022/08/05 18:50:38 - mmengine - INFO - Epoch(train) [193][220/314] lr: 1.8565e-02 eta: 1:23:30 time: 0.3382 data_time: 0.0502 memory: 9706 grad_norm: 1.3993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0845 loss: 0.0845 2022/08/05 18:50:45 - mmengine - INFO - Epoch(train) [193][240/314] lr: 1.8517e-02 eta: 1:23:23 time: 0.3570 data_time: 0.0407 memory: 9706 grad_norm: 1.4225 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0948 loss: 0.0948 2022/08/05 18:50:52 - mmengine - INFO - Epoch(train) [193][260/314] lr: 1.8468e-02 eta: 1:23:16 time: 0.3398 data_time: 0.0447 memory: 9706 grad_norm: 1.4878 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1087 loss: 0.1087 2022/08/05 18:50:59 - mmengine - INFO - Epoch(train) [193][280/314] lr: 1.8420e-02 eta: 1:23:10 time: 0.3411 data_time: 0.0433 memory: 9706 grad_norm: 1.2552 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0782 loss: 0.0782 2022/08/05 18:51:06 - mmengine - INFO - Epoch(train) [193][300/314] lr: 1.8372e-02 eta: 1:23:03 time: 0.3482 data_time: 0.0406 memory: 9706 grad_norm: 1.5072 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0856 loss: 0.0856 2022/08/05 18:51:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:51:09 - mmengine - INFO - Epoch(train) [193][314/314] lr: 1.8338e-02 eta: 1:23:03 time: 0.2938 data_time: 0.0357 memory: 9706 grad_norm: 1.6617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0948 loss: 0.0948 2022/08/05 18:51:09 - mmengine - INFO - Saving checkpoint at 193 epochs 2022/08/05 18:51:21 - mmengine - INFO - Epoch(train) [194][20/314] lr: 1.8290e-02 eta: 1:22:51 time: 0.4733 data_time: 0.2025 memory: 9706 grad_norm: 1.2931 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0665 loss: 0.0665 2022/08/05 18:51:28 - mmengine - INFO - Epoch(train) [194][40/314] lr: 1.8242e-02 eta: 1:22:44 time: 0.3374 data_time: 0.0543 memory: 9706 grad_norm: 1.2789 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0975 loss: 0.0975 2022/08/05 18:51:35 - mmengine - INFO - Epoch(train) [194][60/314] lr: 1.8194e-02 eta: 1:22:38 time: 0.3507 data_time: 0.0421 memory: 9706 grad_norm: 1.4154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1106 loss: 0.1106 2022/08/05 18:51:42 - mmengine - INFO - Epoch(train) [194][80/314] lr: 1.8146e-02 eta: 1:22:31 time: 0.3479 data_time: 0.0471 memory: 9706 grad_norm: 1.2932 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0883 loss: 0.0883 2022/08/05 18:51:49 - mmengine - INFO - Epoch(train) [194][100/314] lr: 1.8098e-02 eta: 1:22:24 time: 0.3423 data_time: 0.0444 memory: 9706 grad_norm: 1.4002 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1207 loss: 0.1207 2022/08/05 18:51:56 - mmengine - INFO - Epoch(train) [194][120/314] lr: 1.8051e-02 eta: 1:22:17 time: 0.3424 data_time: 0.0411 memory: 9706 grad_norm: 1.3874 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1410 loss: 0.1410 2022/08/05 18:52:03 - mmengine - INFO - Epoch(train) [194][140/314] lr: 1.8003e-02 eta: 1:22:11 time: 0.3583 data_time: 0.0428 memory: 9706 grad_norm: 1.4458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1126 loss: 0.1126 2022/08/05 18:52:10 - mmengine - INFO - Epoch(train) [194][160/314] lr: 1.7955e-02 eta: 1:22:04 time: 0.3429 data_time: 0.0439 memory: 9706 grad_norm: 1.4633 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0958 loss: 0.0958 2022/08/05 18:52:17 - mmengine - INFO - Epoch(train) [194][180/314] lr: 1.7907e-02 eta: 1:21:57 time: 0.3411 data_time: 0.0460 memory: 9706 grad_norm: 1.4389 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1321 loss: 0.1321 2022/08/05 18:52:24 - mmengine - INFO - Epoch(train) [194][200/314] lr: 1.7860e-02 eta: 1:21:51 time: 0.3557 data_time: 0.0449 memory: 9706 grad_norm: 1.4694 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1353 loss: 0.1353 2022/08/05 18:52:31 - mmengine - INFO - Epoch(train) [194][220/314] lr: 1.7812e-02 eta: 1:21:44 time: 0.3453 data_time: 0.0437 memory: 9706 grad_norm: 1.5595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1381 loss: 0.1381 2022/08/05 18:52:38 - mmengine - INFO - Epoch(train) [194][240/314] lr: 1.7765e-02 eta: 1:21:37 time: 0.3406 data_time: 0.0498 memory: 9706 grad_norm: 1.5036 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1217 loss: 0.1217 2022/08/05 18:52:45 - mmengine - INFO - Epoch(train) [194][260/314] lr: 1.7717e-02 eta: 1:21:31 time: 0.3468 data_time: 0.0431 memory: 9706 grad_norm: 1.3672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0853 loss: 0.0853 2022/08/05 18:52:51 - mmengine - INFO - Epoch(train) [194][280/314] lr: 1.7670e-02 eta: 1:21:24 time: 0.3466 data_time: 0.0463 memory: 9706 grad_norm: 1.3790 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1098 loss: 0.1098 2022/08/05 18:52:58 - mmengine - INFO - Epoch(train) [194][300/314] lr: 1.7623e-02 eta: 1:21:17 time: 0.3441 data_time: 0.0421 memory: 9706 grad_norm: 1.5652 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1790 loss: 0.1790 2022/08/05 18:53:02 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:53:02 - mmengine - INFO - Epoch(train) [194][314/314] lr: 1.7590e-02 eta: 1:21:17 time: 0.3005 data_time: 0.0338 memory: 9706 grad_norm: 1.5402 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1012 loss: 0.1012 2022/08/05 18:53:02 - mmengine - INFO - Saving checkpoint at 194 epochs 2022/08/05 18:53:14 - mmengine - INFO - Epoch(train) [195][20/314] lr: 1.7543e-02 eta: 1:21:05 time: 0.4633 data_time: 0.1802 memory: 9706 grad_norm: 1.3542 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0945 loss: 0.0945 2022/08/05 18:53:21 - mmengine - INFO - Epoch(train) [195][40/314] lr: 1.7495e-02 eta: 1:20:58 time: 0.3419 data_time: 0.0514 memory: 9706 grad_norm: 1.4044 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1105 loss: 0.1105 2022/08/05 18:53:28 - mmengine - INFO - Epoch(train) [195][60/314] lr: 1.7448e-02 eta: 1:20:52 time: 0.3376 data_time: 0.0436 memory: 9706 grad_norm: 1.3937 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0588 loss: 0.0588 2022/08/05 18:53:35 - mmengine - INFO - Epoch(train) [195][80/314] lr: 1.7401e-02 eta: 1:20:45 time: 0.3461 data_time: 0.0464 memory: 9706 grad_norm: 1.4631 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0737 loss: 0.0737 2022/08/05 18:53:36 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:53:42 - mmengine - INFO - Epoch(train) [195][100/314] lr: 1.7354e-02 eta: 1:20:38 time: 0.3442 data_time: 0.0465 memory: 9706 grad_norm: 1.4326 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1109 loss: 0.1109 2022/08/05 18:53:48 - mmengine - INFO - Epoch(train) [195][120/314] lr: 1.7307e-02 eta: 1:20:31 time: 0.3373 data_time: 0.0462 memory: 9706 grad_norm: 1.3652 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0868 loss: 0.0868 2022/08/05 18:53:55 - mmengine - INFO - Epoch(train) [195][140/314] lr: 1.7261e-02 eta: 1:20:25 time: 0.3416 data_time: 0.0444 memory: 9706 grad_norm: 1.3752 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1190 loss: 0.1190 2022/08/05 18:54:02 - mmengine - INFO - Epoch(train) [195][160/314] lr: 1.7214e-02 eta: 1:20:18 time: 0.3495 data_time: 0.0459 memory: 9706 grad_norm: 1.3405 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0739 loss: 0.0739 2022/08/05 18:54:09 - mmengine - INFO - Epoch(train) [195][180/314] lr: 1.7167e-02 eta: 1:20:11 time: 0.3416 data_time: 0.0450 memory: 9706 grad_norm: 1.5212 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0863 loss: 0.0863 2022/08/05 18:54:16 - mmengine - INFO - Epoch(train) [195][200/314] lr: 1.7120e-02 eta: 1:20:05 time: 0.3413 data_time: 0.0456 memory: 9706 grad_norm: 1.3906 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0961 loss: 0.0961 2022/08/05 18:54:23 - mmengine - INFO - Epoch(train) [195][220/314] lr: 1.7074e-02 eta: 1:19:58 time: 0.3521 data_time: 0.0585 memory: 9706 grad_norm: 1.4833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0954 loss: 0.0954 2022/08/05 18:54:30 - mmengine - INFO - Epoch(train) [195][240/314] lr: 1.7027e-02 eta: 1:19:51 time: 0.3397 data_time: 0.0426 memory: 9706 grad_norm: 1.3612 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0596 loss: 0.0596 2022/08/05 18:54:37 - mmengine - INFO - Epoch(train) [195][260/314] lr: 1.6981e-02 eta: 1:19:45 time: 0.3480 data_time: 0.0463 memory: 9706 grad_norm: 1.4276 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0725 loss: 0.0725 2022/08/05 18:54:44 - mmengine - INFO - Epoch(train) [195][280/314] lr: 1.6934e-02 eta: 1:19:38 time: 0.3528 data_time: 0.0426 memory: 9706 grad_norm: 1.5245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1121 loss: 0.1121 2022/08/05 18:54:51 - mmengine - INFO - Epoch(train) [195][300/314] lr: 1.6888e-02 eta: 1:19:31 time: 0.3459 data_time: 0.0417 memory: 9706 grad_norm: 1.3981 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0988 loss: 0.0988 2022/08/05 18:54:55 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:54:55 - mmengine - INFO - Epoch(train) [195][314/314] lr: 1.6855e-02 eta: 1:19:31 time: 0.2910 data_time: 0.0375 memory: 9706 grad_norm: 1.4411 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1323 loss: 0.1323 2022/08/05 18:54:55 - mmengine - INFO - Saving checkpoint at 195 epochs 2022/08/05 18:55:07 - mmengine - INFO - Epoch(train) [196][20/314] lr: 1.6809e-02 eta: 1:19:19 time: 0.4644 data_time: 0.1813 memory: 9706 grad_norm: 1.4204 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0915 loss: 0.0915 2022/08/05 18:55:14 - mmengine - INFO - Epoch(train) [196][40/314] lr: 1.6763e-02 eta: 1:19:12 time: 0.3505 data_time: 0.0531 memory: 9706 grad_norm: 1.3811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0710 loss: 0.0710 2022/08/05 18:55:21 - mmengine - INFO - Epoch(train) [196][60/314] lr: 1.6717e-02 eta: 1:19:06 time: 0.3444 data_time: 0.0442 memory: 9706 grad_norm: 1.4445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1313 loss: 0.1313 2022/08/05 18:55:28 - mmengine - INFO - Epoch(train) [196][80/314] lr: 1.6671e-02 eta: 1:18:59 time: 0.3434 data_time: 0.0443 memory: 9706 grad_norm: 1.3974 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1088 loss: 0.1088 2022/08/05 18:55:35 - mmengine - INFO - Epoch(train) [196][100/314] lr: 1.6624e-02 eta: 1:18:52 time: 0.3527 data_time: 0.0410 memory: 9706 grad_norm: 1.2633 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0651 loss: 0.0651 2022/08/05 18:55:42 - mmengine - INFO - Epoch(train) [196][120/314] lr: 1.6578e-02 eta: 1:18:46 time: 0.3483 data_time: 0.0393 memory: 9706 grad_norm: 1.4005 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0583 loss: 0.0583 2022/08/05 18:55:48 - mmengine - INFO - Epoch(train) [196][140/314] lr: 1.6533e-02 eta: 1:18:39 time: 0.3359 data_time: 0.0419 memory: 9706 grad_norm: 1.2860 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0716 loss: 0.0716 2022/08/05 18:55:56 - mmengine - INFO - Epoch(train) [196][160/314] lr: 1.6487e-02 eta: 1:18:32 time: 0.3532 data_time: 0.0456 memory: 9706 grad_norm: 1.3413 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0851 loss: 0.0851 2022/08/05 18:56:03 - mmengine - INFO - Epoch(train) [196][180/314] lr: 1.6441e-02 eta: 1:18:26 time: 0.3479 data_time: 0.0462 memory: 9706 grad_norm: 1.3305 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1046 loss: 0.1046 2022/08/05 18:56:09 - mmengine - INFO - Epoch(train) [196][200/314] lr: 1.6395e-02 eta: 1:18:19 time: 0.3440 data_time: 0.0448 memory: 9706 grad_norm: 1.2734 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0554 loss: 0.0554 2022/08/05 18:56:16 - mmengine - INFO - Epoch(train) [196][220/314] lr: 1.6349e-02 eta: 1:18:12 time: 0.3439 data_time: 0.0447 memory: 9706 grad_norm: 1.2913 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0689 loss: 0.0689 2022/08/05 18:56:23 - mmengine - INFO - Epoch(train) [196][240/314] lr: 1.6304e-02 eta: 1:18:05 time: 0.3467 data_time: 0.0524 memory: 9706 grad_norm: 1.3804 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0902 loss: 0.0902 2022/08/05 18:56:30 - mmengine - INFO - Epoch(train) [196][260/314] lr: 1.6258e-02 eta: 1:17:59 time: 0.3383 data_time: 0.0462 memory: 9706 grad_norm: 1.4292 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0949 loss: 0.0949 2022/08/05 18:56:37 - mmengine - INFO - Epoch(train) [196][280/314] lr: 1.6212e-02 eta: 1:17:52 time: 0.3454 data_time: 0.0495 memory: 9706 grad_norm: 1.4451 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0861 loss: 0.0861 2022/08/05 18:56:44 - mmengine - INFO - Epoch(train) [196][300/314] lr: 1.6167e-02 eta: 1:17:45 time: 0.3488 data_time: 0.0450 memory: 9706 grad_norm: 1.4739 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0815 loss: 0.0815 2022/08/05 18:56:48 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:56:48 - mmengine - INFO - Epoch(train) [196][314/314] lr: 1.6135e-02 eta: 1:17:45 time: 0.2907 data_time: 0.0358 memory: 9706 grad_norm: 1.6284 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.1648 loss: 0.1648 2022/08/05 18:56:48 - mmengine - INFO - Saving checkpoint at 196 epochs 2022/08/05 18:57:00 - mmengine - INFO - Epoch(train) [197][20/314] lr: 1.6090e-02 eta: 1:17:33 time: 0.4652 data_time: 0.1762 memory: 9706 grad_norm: 1.5173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1115 loss: 0.1115 2022/08/05 18:57:07 - mmengine - INFO - Epoch(train) [197][40/314] lr: 1.6045e-02 eta: 1:17:27 time: 0.3407 data_time: 0.0422 memory: 9706 grad_norm: 1.5205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1073 loss: 0.1073 2022/08/05 18:57:14 - mmengine - INFO - Epoch(train) [197][60/314] lr: 1.5999e-02 eta: 1:17:20 time: 0.3426 data_time: 0.0480 memory: 9706 grad_norm: 1.4260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0829 loss: 0.0829 2022/08/05 18:57:21 - mmengine - INFO - Epoch(train) [197][80/314] lr: 1.5954e-02 eta: 1:17:13 time: 0.3546 data_time: 0.0414 memory: 9706 grad_norm: 1.4027 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0793 loss: 0.0793 2022/08/05 18:57:28 - mmengine - INFO - Epoch(train) [197][100/314] lr: 1.5909e-02 eta: 1:17:06 time: 0.3411 data_time: 0.0429 memory: 9706 grad_norm: 1.5545 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0993 loss: 0.0993 2022/08/05 18:57:35 - mmengine - INFO - Epoch(train) [197][120/314] lr: 1.5864e-02 eta: 1:17:00 time: 0.3433 data_time: 0.0478 memory: 9706 grad_norm: 1.6661 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0835 loss: 0.0835 2022/08/05 18:57:42 - mmengine - INFO - Epoch(train) [197][140/314] lr: 1.5819e-02 eta: 1:16:53 time: 0.3432 data_time: 0.0438 memory: 9706 grad_norm: 1.5768 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0972 loss: 0.0972 2022/08/05 18:57:49 - mmengine - INFO - Epoch(train) [197][160/314] lr: 1.5774e-02 eta: 1:16:46 time: 0.3457 data_time: 0.0431 memory: 9706 grad_norm: 1.6233 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1561 loss: 0.1561 2022/08/05 18:57:56 - mmengine - INFO - Epoch(train) [197][180/314] lr: 1.5729e-02 eta: 1:16:40 time: 0.3497 data_time: 0.0460 memory: 9706 grad_norm: 1.6660 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1024 loss: 0.1024 2022/08/05 18:58:03 - mmengine - INFO - Epoch(train) [197][200/314] lr: 1.5684e-02 eta: 1:16:33 time: 0.3464 data_time: 0.0443 memory: 9706 grad_norm: 1.3828 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0658 loss: 0.0658 2022/08/05 18:58:09 - mmengine - INFO - Epoch(train) [197][220/314] lr: 1.5639e-02 eta: 1:16:26 time: 0.3394 data_time: 0.0435 memory: 9706 grad_norm: 1.4696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1114 loss: 0.1114 2022/08/05 18:58:16 - mmengine - INFO - Epoch(train) [197][240/314] lr: 1.5594e-02 eta: 1:16:19 time: 0.3423 data_time: 0.0442 memory: 9706 grad_norm: 1.4234 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1312 loss: 0.1312 2022/08/05 18:58:23 - mmengine - INFO - Epoch(train) [197][260/314] lr: 1.5550e-02 eta: 1:16:13 time: 0.3493 data_time: 0.0531 memory: 9706 grad_norm: 1.3841 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0781 loss: 0.0781 2022/08/05 18:58:30 - mmengine - INFO - Epoch(train) [197][280/314] lr: 1.5505e-02 eta: 1:16:06 time: 0.3395 data_time: 0.0454 memory: 9706 grad_norm: 1.4312 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0989 loss: 0.0989 2022/08/05 18:58:37 - mmengine - INFO - Epoch(train) [197][300/314] lr: 1.5461e-02 eta: 1:15:59 time: 0.3438 data_time: 0.0414 memory: 9706 grad_norm: 1.4996 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0744 loss: 0.0744 2022/08/05 18:58:41 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:58:41 - mmengine - INFO - Epoch(train) [197][314/314] lr: 1.5429e-02 eta: 1:15:59 time: 0.2926 data_time: 0.0337 memory: 9706 grad_norm: 1.5970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0873 loss: 0.0873 2022/08/05 18:58:41 - mmengine - INFO - Saving checkpoint at 197 epochs 2022/08/05 18:58:53 - mmengine - INFO - Epoch(train) [198][20/314] lr: 1.5385e-02 eta: 1:15:47 time: 0.4728 data_time: 0.1929 memory: 9706 grad_norm: 1.5602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0986 loss: 0.0986 2022/08/05 18:59:00 - mmengine - INFO - Epoch(train) [198][40/314] lr: 1.5341e-02 eta: 1:15:41 time: 0.3378 data_time: 0.0395 memory: 9706 grad_norm: 1.3671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0820 loss: 0.0820 2022/08/05 18:59:07 - mmengine - INFO - Epoch(train) [198][60/314] lr: 1.5296e-02 eta: 1:15:34 time: 0.3508 data_time: 0.0459 memory: 9706 grad_norm: 1.3122 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0836 loss: 0.0836 2022/08/05 18:59:14 - mmengine - INFO - Epoch(train) [198][80/314] lr: 1.5252e-02 eta: 1:15:27 time: 0.3399 data_time: 0.0478 memory: 9706 grad_norm: 1.3351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0895 loss: 0.0895 2022/08/05 18:59:20 - mmengine - INFO - Epoch(train) [198][100/314] lr: 1.5208e-02 eta: 1:15:20 time: 0.3468 data_time: 0.0420 memory: 9706 grad_norm: 1.4224 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0572 loss: 0.0572 2022/08/05 18:59:27 - mmengine - INFO - Epoch(train) [198][120/314] lr: 1.5164e-02 eta: 1:15:14 time: 0.3465 data_time: 0.0408 memory: 9706 grad_norm: 1.1922 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0631 loss: 0.0631 2022/08/05 18:59:34 - mmengine - INFO - Epoch(train) [198][140/314] lr: 1.5119e-02 eta: 1:15:07 time: 0.3396 data_time: 0.0564 memory: 9706 grad_norm: 1.4082 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1167 loss: 0.1167 2022/08/05 18:59:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 18:59:41 - mmengine - INFO - Epoch(train) [198][160/314] lr: 1.5075e-02 eta: 1:15:00 time: 0.3434 data_time: 0.0503 memory: 9706 grad_norm: 1.4839 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0772 loss: 0.0772 2022/08/05 18:59:48 - mmengine - INFO - Epoch(train) [198][180/314] lr: 1.5031e-02 eta: 1:14:54 time: 0.3457 data_time: 0.0419 memory: 9706 grad_norm: 1.4939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0864 loss: 0.0864 2022/08/05 18:59:55 - mmengine - INFO - Epoch(train) [198][200/314] lr: 1.4987e-02 eta: 1:14:47 time: 0.3411 data_time: 0.0453 memory: 9706 grad_norm: 1.4311 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1146 loss: 0.1146 2022/08/05 19:00:02 - mmengine - INFO - Epoch(train) [198][220/314] lr: 1.4944e-02 eta: 1:14:40 time: 0.3493 data_time: 0.0453 memory: 9706 grad_norm: 1.4363 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.1066 loss: 0.1066 2022/08/05 19:00:09 - mmengine - INFO - Epoch(train) [198][240/314] lr: 1.4900e-02 eta: 1:14:33 time: 0.3443 data_time: 0.0560 memory: 9706 grad_norm: 1.4666 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0959 loss: 0.0959 2022/08/05 19:00:16 - mmengine - INFO - Epoch(train) [198][260/314] lr: 1.4856e-02 eta: 1:14:27 time: 0.3469 data_time: 0.0478 memory: 9706 grad_norm: 1.2969 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0871 loss: 0.0871 2022/08/05 19:00:23 - mmengine - INFO - Epoch(train) [198][280/314] lr: 1.4812e-02 eta: 1:14:20 time: 0.3581 data_time: 0.0481 memory: 9706 grad_norm: 1.2841 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0965 loss: 0.0965 2022/08/05 19:00:30 - mmengine - INFO - Epoch(train) [198][300/314] lr: 1.4769e-02 eta: 1:14:13 time: 0.3405 data_time: 0.0462 memory: 9706 grad_norm: 1.6244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1088 loss: 0.1088 2022/08/05 19:00:33 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:00:34 - mmengine - INFO - Epoch(train) [198][314/314] lr: 1.4738e-02 eta: 1:14:13 time: 0.2986 data_time: 0.0400 memory: 9706 grad_norm: 1.6755 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.1075 loss: 0.1075 2022/08/05 19:00:34 - mmengine - INFO - Saving checkpoint at 198 epochs 2022/08/05 19:00:46 - mmengine - INFO - Epoch(train) [199][20/314] lr: 1.4695e-02 eta: 1:14:01 time: 0.4705 data_time: 0.1953 memory: 9706 grad_norm: 1.4190 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0930 loss: 0.0930 2022/08/05 19:00:53 - mmengine - INFO - Epoch(train) [199][40/314] lr: 1.4651e-02 eta: 1:13:55 time: 0.3534 data_time: 0.0563 memory: 9706 grad_norm: 1.4278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1133 loss: 0.1133 2022/08/05 19:01:00 - mmengine - INFO - Epoch(train) [199][60/314] lr: 1.4608e-02 eta: 1:13:48 time: 0.3400 data_time: 0.0422 memory: 9706 grad_norm: 1.3499 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0901 loss: 0.0901 2022/08/05 19:01:06 - mmengine - INFO - Epoch(train) [199][80/314] lr: 1.4564e-02 eta: 1:13:41 time: 0.3447 data_time: 0.0429 memory: 9706 grad_norm: 1.4081 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0939 loss: 0.0939 2022/08/05 19:01:14 - mmengine - INFO - Epoch(train) [199][100/314] lr: 1.4521e-02 eta: 1:13:35 time: 0.3572 data_time: 0.0436 memory: 9706 grad_norm: 1.3179 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0595 loss: 0.0595 2022/08/05 19:01:20 - mmengine - INFO - Epoch(train) [199][120/314] lr: 1.4478e-02 eta: 1:13:28 time: 0.3320 data_time: 0.0431 memory: 9706 grad_norm: 1.4512 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0758 loss: 0.0758 2022/08/05 19:01:27 - mmengine - INFO - Epoch(train) [199][140/314] lr: 1.4435e-02 eta: 1:13:21 time: 0.3526 data_time: 0.0457 memory: 9706 grad_norm: 1.4824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0699 loss: 0.0699 2022/08/05 19:01:34 - mmengine - INFO - Epoch(train) [199][160/314] lr: 1.4392e-02 eta: 1:13:14 time: 0.3435 data_time: 0.0464 memory: 9706 grad_norm: 1.5972 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0981 loss: 0.0981 2022/08/05 19:01:41 - mmengine - INFO - Epoch(train) [199][180/314] lr: 1.4348e-02 eta: 1:13:08 time: 0.3401 data_time: 0.0400 memory: 9706 grad_norm: 1.4257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0623 loss: 0.0623 2022/08/05 19:01:48 - mmengine - INFO - Epoch(train) [199][200/314] lr: 1.4305e-02 eta: 1:13:01 time: 0.3478 data_time: 0.0483 memory: 9706 grad_norm: 1.4079 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1081 loss: 0.1081 2022/08/05 19:01:55 - mmengine - INFO - Epoch(train) [199][220/314] lr: 1.4263e-02 eta: 1:12:54 time: 0.3414 data_time: 0.0467 memory: 9706 grad_norm: 1.5435 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0539 loss: 0.0539 2022/08/05 19:02:02 - mmengine - INFO - Epoch(train) [199][240/314] lr: 1.4220e-02 eta: 1:12:48 time: 0.3451 data_time: 0.0514 memory: 9706 grad_norm: 1.4539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0840 loss: 0.0840 2022/08/05 19:02:09 - mmengine - INFO - Epoch(train) [199][260/314] lr: 1.4177e-02 eta: 1:12:41 time: 0.3491 data_time: 0.0585 memory: 9706 grad_norm: 1.4039 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1180 loss: 0.1180 2022/08/05 19:02:16 - mmengine - INFO - Epoch(train) [199][280/314] lr: 1.4134e-02 eta: 1:12:34 time: 0.3509 data_time: 0.0459 memory: 9706 grad_norm: 1.4284 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0867 loss: 0.0867 2022/08/05 19:02:22 - mmengine - INFO - Epoch(train) [199][300/314] lr: 1.4091e-02 eta: 1:12:27 time: 0.3368 data_time: 0.0413 memory: 9706 grad_norm: 1.3320 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0603 loss: 0.0603 2022/08/05 19:02:26 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:02:26 - mmengine - INFO - Epoch(train) [199][314/314] lr: 1.4061e-02 eta: 1:12:27 time: 0.2915 data_time: 0.0362 memory: 9706 grad_norm: 1.5136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0935 loss: 0.0935 2022/08/05 19:02:26 - mmengine - INFO - Saving checkpoint at 199 epochs 2022/08/05 19:02:38 - mmengine - INFO - Epoch(train) [200][20/314] lr: 1.4019e-02 eta: 1:12:16 time: 0.4656 data_time: 0.1804 memory: 9706 grad_norm: 1.4513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0738 loss: 0.0738 2022/08/05 19:02:45 - mmengine - INFO - Epoch(train) [200][40/314] lr: 1.3976e-02 eta: 1:12:09 time: 0.3492 data_time: 0.0515 memory: 9706 grad_norm: 1.2891 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0717 loss: 0.0717 2022/08/05 19:02:52 - mmengine - INFO - Epoch(train) [200][60/314] lr: 1.3934e-02 eta: 1:12:02 time: 0.3479 data_time: 0.0424 memory: 9706 grad_norm: 1.4997 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0979 loss: 0.0979 2022/08/05 19:02:59 - mmengine - INFO - Epoch(train) [200][80/314] lr: 1.3891e-02 eta: 1:11:55 time: 0.3471 data_time: 0.0457 memory: 9706 grad_norm: 1.3898 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0762 loss: 0.0762 2022/08/05 19:03:06 - mmengine - INFO - Epoch(train) [200][100/314] lr: 1.3849e-02 eta: 1:11:49 time: 0.3438 data_time: 0.0584 memory: 9706 grad_norm: 1.4199 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0854 loss: 0.0854 2022/08/05 19:03:13 - mmengine - INFO - Epoch(train) [200][120/314] lr: 1.3807e-02 eta: 1:11:42 time: 0.3467 data_time: 0.0416 memory: 9706 grad_norm: 1.4882 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1093 loss: 0.1093 2022/08/05 19:03:20 - mmengine - INFO - Epoch(train) [200][140/314] lr: 1.3765e-02 eta: 1:11:35 time: 0.3456 data_time: 0.0423 memory: 9706 grad_norm: 1.2467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0926 loss: 0.0926 2022/08/05 19:03:27 - mmengine - INFO - Epoch(train) [200][160/314] lr: 1.3722e-02 eta: 1:11:29 time: 0.3524 data_time: 0.0447 memory: 9706 grad_norm: 1.3633 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0845 loss: 0.0845 2022/08/05 19:03:34 - mmengine - INFO - Epoch(train) [200][180/314] lr: 1.3680e-02 eta: 1:11:22 time: 0.3472 data_time: 0.0427 memory: 9706 grad_norm: 1.5707 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0969 loss: 0.0969 2022/08/05 19:03:41 - mmengine - INFO - Epoch(train) [200][200/314] lr: 1.3638e-02 eta: 1:11:15 time: 0.3472 data_time: 0.0470 memory: 9706 grad_norm: 1.4272 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0870 loss: 0.0870 2022/08/05 19:03:48 - mmengine - INFO - Epoch(train) [200][220/314] lr: 1.3596e-02 eta: 1:11:08 time: 0.3429 data_time: 0.0443 memory: 9706 grad_norm: 1.4201 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0872 loss: 0.0872 2022/08/05 19:03:54 - mmengine - INFO - Epoch(train) [200][240/314] lr: 1.3554e-02 eta: 1:11:02 time: 0.3460 data_time: 0.0428 memory: 9706 grad_norm: 1.4630 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0531 loss: 0.0531 2022/08/05 19:04:01 - mmengine - INFO - Epoch(train) [200][260/314] lr: 1.3512e-02 eta: 1:10:55 time: 0.3439 data_time: 0.0440 memory: 9706 grad_norm: 1.3244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0842 loss: 0.0842 2022/08/05 19:04:08 - mmengine - INFO - Epoch(train) [200][280/314] lr: 1.3471e-02 eta: 1:10:48 time: 0.3505 data_time: 0.0423 memory: 9706 grad_norm: 1.4262 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0622 loss: 0.0622 2022/08/05 19:04:15 - mmengine - INFO - Epoch(train) [200][300/314] lr: 1.3429e-02 eta: 1:10:42 time: 0.3398 data_time: 0.0444 memory: 9706 grad_norm: 1.3774 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0970 loss: 0.0970 2022/08/05 19:04:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:04:19 - mmengine - INFO - Epoch(train) [200][314/314] lr: 1.3400e-02 eta: 1:10:42 time: 0.2929 data_time: 0.0432 memory: 9706 grad_norm: 1.4077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0740 loss: 0.0740 2022/08/05 19:04:19 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/05 19:04:31 - mmengine - INFO - Epoch(val) [200][20/129] eta: 0:00:51 time: 0.4723 data_time: 0.2964 memory: 1867 2022/08/05 19:04:38 - mmengine - INFO - Epoch(val) [200][40/129] eta: 0:00:28 time: 0.3246 data_time: 0.1422 memory: 1867 2022/08/05 19:04:45 - mmengine - INFO - Epoch(val) [200][60/129] eta: 0:00:23 time: 0.3440 data_time: 0.1636 memory: 1867 2022/08/05 19:04:51 - mmengine - INFO - Epoch(val) [200][80/129] eta: 0:00:14 time: 0.3024 data_time: 0.1234 memory: 1867 2022/08/05 19:04:58 - mmengine - INFO - Epoch(val) [200][100/129] eta: 0:00:10 time: 0.3468 data_time: 0.1501 memory: 1867 2022/08/05 19:05:03 - mmengine - INFO - Epoch(val) [200][120/129] eta: 0:00:02 time: 0.2735 data_time: 0.1140 memory: 1867 2022/08/05 19:05:05 - mmengine - INFO - Epoch(val) [200][129/129] acc/top1: 0.9146 acc/top5: 0.9939 acc/mean1: 0.9145 2022/08/05 19:05:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_191.pth is removed 2022/08/05 19:05:08 - mmengine - INFO - The best checkpoint with 0.9146 acc/top1 at 201 epoch is saved to best_acc/top1_epoch_201.pth. 2022/08/05 19:05:17 - mmengine - INFO - Epoch(train) [201][20/314] lr: 1.3358e-02 eta: 1:10:30 time: 0.4550 data_time: 0.1715 memory: 9706 grad_norm: 1.2863 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0668 loss: 0.0668 2022/08/05 19:05:24 - mmengine - INFO - Epoch(train) [201][40/314] lr: 1.3316e-02 eta: 1:10:23 time: 0.3508 data_time: 0.0494 memory: 9706 grad_norm: 1.3377 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1190 loss: 0.1190 2022/08/05 19:05:31 - mmengine - INFO - Epoch(train) [201][60/314] lr: 1.3275e-02 eta: 1:10:16 time: 0.3344 data_time: 0.0434 memory: 9706 grad_norm: 1.3530 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0680 loss: 0.0680 2022/08/05 19:05:38 - mmengine - INFO - Epoch(train) [201][80/314] lr: 1.3233e-02 eta: 1:10:10 time: 0.3487 data_time: 0.0462 memory: 9706 grad_norm: 1.4515 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0710 loss: 0.0710 2022/08/05 19:05:45 - mmengine - INFO - Epoch(train) [201][100/314] lr: 1.3192e-02 eta: 1:10:03 time: 0.3459 data_time: 0.0451 memory: 9706 grad_norm: 1.4527 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1010 loss: 0.1010 2022/08/05 19:05:52 - mmengine - INFO - Epoch(train) [201][120/314] lr: 1.3150e-02 eta: 1:09:56 time: 0.3450 data_time: 0.0460 memory: 9706 grad_norm: 1.4165 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0973 loss: 0.0973 2022/08/05 19:05:58 - mmengine - INFO - Epoch(train) [201][140/314] lr: 1.3109e-02 eta: 1:09:49 time: 0.3422 data_time: 0.0446 memory: 9706 grad_norm: 1.4325 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0837 loss: 0.0837 2022/08/05 19:06:05 - mmengine - INFO - Epoch(train) [201][160/314] lr: 1.3068e-02 eta: 1:09:43 time: 0.3440 data_time: 0.0449 memory: 9706 grad_norm: 1.4396 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0981 loss: 0.0981 2022/08/05 19:06:12 - mmengine - INFO - Epoch(train) [201][180/314] lr: 1.3027e-02 eta: 1:09:36 time: 0.3556 data_time: 0.0407 memory: 9706 grad_norm: 1.2524 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.0898 loss: 0.0898 2022/08/05 19:06:19 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:06:19 - mmengine - INFO - Epoch(train) [201][200/314] lr: 1.2986e-02 eta: 1:09:29 time: 0.3388 data_time: 0.0440 memory: 9706 grad_norm: 1.5180 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0630 loss: 0.0630 2022/08/05 19:06:26 - mmengine - INFO - Epoch(train) [201][220/314] lr: 1.2945e-02 eta: 1:09:22 time: 0.3411 data_time: 0.0404 memory: 9706 grad_norm: 1.5953 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0897 loss: 0.0897 2022/08/05 19:06:33 - mmengine - INFO - Epoch(train) [201][240/314] lr: 1.2904e-02 eta: 1:09:16 time: 0.3531 data_time: 0.0437 memory: 9706 grad_norm: 1.3629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0720 loss: 0.0720 2022/08/05 19:06:40 - mmengine - INFO - Epoch(train) [201][260/314] lr: 1.2863e-02 eta: 1:09:09 time: 0.3532 data_time: 0.0540 memory: 9706 grad_norm: 1.4293 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0734 loss: 0.0734 2022/08/05 19:06:47 - mmengine - INFO - Epoch(train) [201][280/314] lr: 1.2822e-02 eta: 1:09:02 time: 0.3451 data_time: 0.0513 memory: 9706 grad_norm: 1.3554 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0861 loss: 0.0861 2022/08/05 19:06:54 - mmengine - INFO - Epoch(train) [201][300/314] lr: 1.2781e-02 eta: 1:08:56 time: 0.3443 data_time: 0.0474 memory: 9706 grad_norm: 1.4613 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0587 loss: 0.0587 2022/08/05 19:06:58 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:06:58 - mmengine - INFO - Epoch(train) [201][314/314] lr: 1.2752e-02 eta: 1:08:56 time: 0.2914 data_time: 0.0371 memory: 9706 grad_norm: 1.5135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0764 loss: 0.0764 2022/08/05 19:06:58 - mmengine - INFO - Saving checkpoint at 201 epochs 2022/08/05 19:07:10 - mmengine - INFO - Epoch(train) [202][20/314] lr: 1.2712e-02 eta: 1:08:44 time: 0.4573 data_time: 0.1856 memory: 9706 grad_norm: 1.4712 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0821 loss: 0.0821 2022/08/05 19:07:17 - mmengine - INFO - Epoch(train) [202][40/314] lr: 1.2671e-02 eta: 1:08:37 time: 0.3407 data_time: 0.0511 memory: 9706 grad_norm: 1.3698 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0690 loss: 0.0690 2022/08/05 19:07:23 - mmengine - INFO - Epoch(train) [202][60/314] lr: 1.2630e-02 eta: 1:08:30 time: 0.3468 data_time: 0.0485 memory: 9706 grad_norm: 1.3682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0792 loss: 0.0792 2022/08/05 19:07:30 - mmengine - INFO - Epoch(train) [202][80/314] lr: 1.2590e-02 eta: 1:08:24 time: 0.3413 data_time: 0.0450 memory: 9706 grad_norm: 1.3602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0627 loss: 0.0627 2022/08/05 19:07:37 - mmengine - INFO - Epoch(train) [202][100/314] lr: 1.2549e-02 eta: 1:08:17 time: 0.3570 data_time: 0.0470 memory: 9706 grad_norm: 1.2583 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0753 loss: 0.0753 2022/08/05 19:07:44 - mmengine - INFO - Epoch(train) [202][120/314] lr: 1.2509e-02 eta: 1:08:10 time: 0.3376 data_time: 0.0443 memory: 9706 grad_norm: 1.4973 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0855 loss: 0.0855 2022/08/05 19:07:51 - mmengine - INFO - Epoch(train) [202][140/314] lr: 1.2469e-02 eta: 1:08:03 time: 0.3436 data_time: 0.0473 memory: 9706 grad_norm: 1.2840 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0631 loss: 0.0631 2022/08/05 19:07:58 - mmengine - INFO - Epoch(train) [202][160/314] lr: 1.2428e-02 eta: 1:07:57 time: 0.3451 data_time: 0.0442 memory: 9706 grad_norm: 1.5677 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1095 loss: 0.1095 2022/08/05 19:08:05 - mmengine - INFO - Epoch(train) [202][180/314] lr: 1.2388e-02 eta: 1:07:50 time: 0.3454 data_time: 0.0397 memory: 9706 grad_norm: 1.4788 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0424 loss: 0.0424 2022/08/05 19:08:12 - mmengine - INFO - Epoch(train) [202][200/314] lr: 1.2348e-02 eta: 1:07:43 time: 0.3477 data_time: 0.0427 memory: 9706 grad_norm: 1.5143 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0997 loss: 0.0997 2022/08/05 19:08:19 - mmengine - INFO - Epoch(train) [202][220/314] lr: 1.2308e-02 eta: 1:07:37 time: 0.3501 data_time: 0.0502 memory: 9706 grad_norm: 1.3248 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0641 loss: 0.0641 2022/08/05 19:08:26 - mmengine - INFO - Epoch(train) [202][240/314] lr: 1.2268e-02 eta: 1:07:30 time: 0.3451 data_time: 0.0432 memory: 9706 grad_norm: 1.5445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0687 loss: 0.0687 2022/08/05 19:08:33 - mmengine - INFO - Epoch(train) [202][260/314] lr: 1.2228e-02 eta: 1:07:23 time: 0.3593 data_time: 0.0491 memory: 9706 grad_norm: 1.5032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0870 loss: 0.0870 2022/08/05 19:08:40 - mmengine - INFO - Epoch(train) [202][280/314] lr: 1.2188e-02 eta: 1:07:16 time: 0.3351 data_time: 0.0457 memory: 9706 grad_norm: 1.5803 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.1099 loss: 0.1099 2022/08/05 19:08:47 - mmengine - INFO - Epoch(train) [202][300/314] lr: 1.2148e-02 eta: 1:07:10 time: 0.3448 data_time: 0.0498 memory: 9706 grad_norm: 1.3329 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0658 loss: 0.0658 2022/08/05 19:08:50 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:08:50 - mmengine - INFO - Epoch(train) [202][314/314] lr: 1.2120e-02 eta: 1:07:10 time: 0.2968 data_time: 0.0389 memory: 9706 grad_norm: 1.6052 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0848 loss: 0.0848 2022/08/05 19:08:50 - mmengine - INFO - Saving checkpoint at 202 epochs 2022/08/05 19:09:02 - mmengine - INFO - Epoch(train) [203][20/314] lr: 1.2081e-02 eta: 1:06:58 time: 0.4643 data_time: 0.1889 memory: 9706 grad_norm: 1.2352 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0644 loss: 0.0644 2022/08/05 19:09:09 - mmengine - INFO - Epoch(train) [203][40/314] lr: 1.2041e-02 eta: 1:06:51 time: 0.3420 data_time: 0.0395 memory: 9706 grad_norm: 1.3001 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0674 loss: 0.0674 2022/08/05 19:09:16 - mmengine - INFO - Epoch(train) [203][60/314] lr: 1.2001e-02 eta: 1:06:44 time: 0.3425 data_time: 0.0415 memory: 9706 grad_norm: 1.6055 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1024 loss: 0.1024 2022/08/05 19:09:23 - mmengine - INFO - Epoch(train) [203][80/314] lr: 1.1962e-02 eta: 1:06:38 time: 0.3445 data_time: 0.0440 memory: 9706 grad_norm: 1.3900 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0641 loss: 0.0641 2022/08/05 19:09:30 - mmengine - INFO - Epoch(train) [203][100/314] lr: 1.1922e-02 eta: 1:06:31 time: 0.3458 data_time: 0.0418 memory: 9706 grad_norm: 1.3257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0804 loss: 0.0804 2022/08/05 19:09:37 - mmengine - INFO - Epoch(train) [203][120/314] lr: 1.1883e-02 eta: 1:06:24 time: 0.3416 data_time: 0.0416 memory: 9706 grad_norm: 1.2220 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0796 loss: 0.0796 2022/08/05 19:09:44 - mmengine - INFO - Epoch(train) [203][140/314] lr: 1.1843e-02 eta: 1:06:18 time: 0.3482 data_time: 0.0483 memory: 9706 grad_norm: 1.2353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0622 loss: 0.0622 2022/08/05 19:09:50 - mmengine - INFO - Epoch(train) [203][160/314] lr: 1.1804e-02 eta: 1:06:11 time: 0.3400 data_time: 0.0432 memory: 9706 grad_norm: 1.3813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0703 loss: 0.0703 2022/08/05 19:09:57 - mmengine - INFO - Epoch(train) [203][180/314] lr: 1.1765e-02 eta: 1:06:04 time: 0.3443 data_time: 0.0432 memory: 9706 grad_norm: 1.3474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0868 loss: 0.0868 2022/08/05 19:10:04 - mmengine - INFO - Epoch(train) [203][200/314] lr: 1.1725e-02 eta: 1:05:57 time: 0.3480 data_time: 0.0484 memory: 9706 grad_norm: 1.3570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0557 loss: 0.0557 2022/08/05 19:10:11 - mmengine - INFO - Epoch(train) [203][220/314] lr: 1.1686e-02 eta: 1:05:51 time: 0.3488 data_time: 0.0496 memory: 9706 grad_norm: 1.4990 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0819 loss: 0.0819 2022/08/05 19:10:18 - mmengine - INFO - Epoch(train) [203][240/314] lr: 1.1647e-02 eta: 1:05:44 time: 0.3483 data_time: 0.0433 memory: 9706 grad_norm: 1.6161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1120 loss: 0.1120 2022/08/05 19:10:25 - mmengine - INFO - Epoch(train) [203][260/314] lr: 1.1608e-02 eta: 1:05:37 time: 0.3479 data_time: 0.0459 memory: 9706 grad_norm: 1.4729 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0967 loss: 0.0967 2022/08/05 19:10:32 - mmengine - INFO - Epoch(train) [203][280/314] lr: 1.1569e-02 eta: 1:05:31 time: 0.3399 data_time: 0.0451 memory: 9706 grad_norm: 1.6397 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0690 loss: 0.0690 2022/08/05 19:10:39 - mmengine - INFO - Epoch(train) [203][300/314] lr: 1.1530e-02 eta: 1:05:24 time: 0.3412 data_time: 0.0427 memory: 9706 grad_norm: 1.3830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0753 loss: 0.0753 2022/08/05 19:10:43 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:10:43 - mmengine - INFO - Epoch(train) [203][314/314] lr: 1.1503e-02 eta: 1:05:24 time: 0.2947 data_time: 0.0375 memory: 9706 grad_norm: 1.4261 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0697 loss: 0.0697 2022/08/05 19:10:43 - mmengine - INFO - Saving checkpoint at 203 epochs 2022/08/05 19:10:55 - mmengine - INFO - Epoch(train) [204][20/314] lr: 1.1464e-02 eta: 1:05:12 time: 0.4554 data_time: 0.1684 memory: 9706 grad_norm: 1.3899 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0799 loss: 0.0799 2022/08/05 19:11:02 - mmengine - INFO - Epoch(train) [204][40/314] lr: 1.1426e-02 eta: 1:05:05 time: 0.3472 data_time: 0.0478 memory: 9706 grad_norm: 1.3625 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0419 loss: 0.0419 2022/08/05 19:11:09 - mmengine - INFO - Epoch(train) [204][60/314] lr: 1.1387e-02 eta: 1:04:58 time: 0.3512 data_time: 0.0447 memory: 9706 grad_norm: 1.2952 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1006 loss: 0.1006 2022/08/05 19:11:16 - mmengine - INFO - Epoch(train) [204][80/314] lr: 1.1348e-02 eta: 1:04:52 time: 0.3434 data_time: 0.0457 memory: 9706 grad_norm: 1.2407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0681 loss: 0.0681 2022/08/05 19:11:23 - mmengine - INFO - Epoch(train) [204][100/314] lr: 1.1310e-02 eta: 1:04:45 time: 0.3486 data_time: 0.0406 memory: 9706 grad_norm: 1.3437 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0730 loss: 0.0730 2022/08/05 19:11:29 - mmengine - INFO - Epoch(train) [204][120/314] lr: 1.1271e-02 eta: 1:04:38 time: 0.3361 data_time: 0.0427 memory: 9706 grad_norm: 1.3239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0673 loss: 0.0673 2022/08/05 19:11:36 - mmengine - INFO - Epoch(train) [204][140/314] lr: 1.1233e-02 eta: 1:04:32 time: 0.3483 data_time: 0.0520 memory: 9706 grad_norm: 1.1177 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0792 loss: 0.0792 2022/08/05 19:11:43 - mmengine - INFO - Epoch(train) [204][160/314] lr: 1.1195e-02 eta: 1:04:25 time: 0.3482 data_time: 0.0435 memory: 9706 grad_norm: 1.1932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0693 loss: 0.0693 2022/08/05 19:11:50 - mmengine - INFO - Epoch(train) [204][180/314] lr: 1.1156e-02 eta: 1:04:18 time: 0.3381 data_time: 0.0394 memory: 9706 grad_norm: 1.3147 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0531 loss: 0.0531 2022/08/05 19:11:57 - mmengine - INFO - Epoch(train) [204][200/314] lr: 1.1118e-02 eta: 1:04:11 time: 0.3462 data_time: 0.0451 memory: 9706 grad_norm: 1.3799 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0547 loss: 0.0547 2022/08/05 19:12:04 - mmengine - INFO - Epoch(train) [204][220/314] lr: 1.1080e-02 eta: 1:04:05 time: 0.3534 data_time: 0.0572 memory: 9706 grad_norm: 1.3479 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0569 loss: 0.0569 2022/08/05 19:12:11 - mmengine - INFO - Epoch(train) [204][240/314] lr: 1.1042e-02 eta: 1:03:58 time: 0.3418 data_time: 0.0479 memory: 9706 grad_norm: 1.4420 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0681 loss: 0.0681 2022/08/05 19:12:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:12:18 - mmengine - INFO - Epoch(train) [204][260/314] lr: 1.1004e-02 eta: 1:03:51 time: 0.3418 data_time: 0.0387 memory: 9706 grad_norm: 1.5980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0564 loss: 0.0564 2022/08/05 19:12:25 - mmengine - INFO - Epoch(train) [204][280/314] lr: 1.0966e-02 eta: 1:03:45 time: 0.3456 data_time: 0.0432 memory: 9706 grad_norm: 1.4956 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0938 loss: 0.0938 2022/08/05 19:12:31 - mmengine - INFO - Epoch(train) [204][300/314] lr: 1.0928e-02 eta: 1:03:38 time: 0.3388 data_time: 0.0389 memory: 9706 grad_norm: 1.4421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0758 loss: 0.0758 2022/08/05 19:12:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:12:35 - mmengine - INFO - Epoch(train) [204][314/314] lr: 1.0901e-02 eta: 1:03:38 time: 0.2911 data_time: 0.0369 memory: 9706 grad_norm: 1.4748 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0677 loss: 0.0677 2022/08/05 19:12:35 - mmengine - INFO - Saving checkpoint at 204 epochs 2022/08/05 19:12:47 - mmengine - INFO - Epoch(train) [205][20/314] lr: 1.0863e-02 eta: 1:03:26 time: 0.4743 data_time: 0.2078 memory: 9706 grad_norm: 1.5419 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0657 loss: 0.0657 2022/08/05 19:12:54 - mmengine - INFO - Epoch(train) [205][40/314] lr: 1.0826e-02 eta: 1:03:19 time: 0.3440 data_time: 0.0441 memory: 9706 grad_norm: 1.2684 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0688 loss: 0.0688 2022/08/05 19:13:01 - mmengine - INFO - Epoch(train) [205][60/314] lr: 1.0788e-02 eta: 1:03:13 time: 0.3387 data_time: 0.0415 memory: 9706 grad_norm: 1.3459 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0565 loss: 0.0565 2022/08/05 19:13:08 - mmengine - INFO - Epoch(train) [205][80/314] lr: 1.0750e-02 eta: 1:03:06 time: 0.3424 data_time: 0.0424 memory: 9706 grad_norm: 1.3999 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0618 loss: 0.0618 2022/08/05 19:13:15 - mmengine - INFO - Epoch(train) [205][100/314] lr: 1.0713e-02 eta: 1:02:59 time: 0.3514 data_time: 0.0501 memory: 9706 grad_norm: 1.3541 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0709 loss: 0.0709 2022/08/05 19:13:22 - mmengine - INFO - Epoch(train) [205][120/314] lr: 1.0675e-02 eta: 1:02:52 time: 0.3475 data_time: 0.0424 memory: 9706 grad_norm: 1.4084 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0878 loss: 0.0878 2022/08/05 19:13:29 - mmengine - INFO - Epoch(train) [205][140/314] lr: 1.0638e-02 eta: 1:02:46 time: 0.3342 data_time: 0.0417 memory: 9706 grad_norm: 1.2200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0674 loss: 0.0674 2022/08/05 19:13:36 - mmengine - INFO - Epoch(train) [205][160/314] lr: 1.0600e-02 eta: 1:02:39 time: 0.3534 data_time: 0.0471 memory: 9706 grad_norm: 1.3822 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0540 loss: 0.0540 2022/08/05 19:13:43 - mmengine - INFO - Epoch(train) [205][180/314] lr: 1.0563e-02 eta: 1:02:32 time: 0.3440 data_time: 0.0523 memory: 9706 grad_norm: 1.2852 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0855 loss: 0.0855 2022/08/05 19:13:49 - mmengine - INFO - Epoch(train) [205][200/314] lr: 1.0526e-02 eta: 1:02:25 time: 0.3391 data_time: 0.0463 memory: 9706 grad_norm: 1.2359 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0503 loss: 0.0503 2022/08/05 19:13:57 - mmengine - INFO - Epoch(train) [205][220/314] lr: 1.0489e-02 eta: 1:02:19 time: 0.3600 data_time: 0.0418 memory: 9706 grad_norm: 1.3194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0571 loss: 0.0571 2022/08/05 19:14:03 - mmengine - INFO - Epoch(train) [205][240/314] lr: 1.0451e-02 eta: 1:02:12 time: 0.3431 data_time: 0.0437 memory: 9706 grad_norm: 1.2457 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0461 loss: 0.0461 2022/08/05 19:14:10 - mmengine - INFO - Epoch(train) [205][260/314] lr: 1.0414e-02 eta: 1:02:05 time: 0.3462 data_time: 0.0448 memory: 9706 grad_norm: 1.3421 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0477 loss: 0.0477 2022/08/05 19:14:17 - mmengine - INFO - Epoch(train) [205][280/314] lr: 1.0377e-02 eta: 1:01:59 time: 0.3496 data_time: 0.0453 memory: 9706 grad_norm: 1.4477 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0551 loss: 0.0551 2022/08/05 19:14:24 - mmengine - INFO - Epoch(train) [205][300/314] lr: 1.0340e-02 eta: 1:01:52 time: 0.3372 data_time: 0.0404 memory: 9706 grad_norm: 1.4287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1088 loss: 0.1088 2022/08/05 19:14:28 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:14:28 - mmengine - INFO - Epoch(train) [205][314/314] lr: 1.0315e-02 eta: 1:01:52 time: 0.2911 data_time: 0.0373 memory: 9706 grad_norm: 1.6268 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0651 loss: 0.0651 2022/08/05 19:14:28 - mmengine - INFO - Saving checkpoint at 205 epochs 2022/08/05 19:14:40 - mmengine - INFO - Epoch(train) [206][20/314] lr: 1.0278e-02 eta: 1:01:40 time: 0.4748 data_time: 0.1963 memory: 9706 grad_norm: 1.4424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0643 loss: 0.0643 2022/08/05 19:14:47 - mmengine - INFO - Epoch(train) [206][40/314] lr: 1.0241e-02 eta: 1:01:33 time: 0.3405 data_time: 0.0411 memory: 9706 grad_norm: 1.4139 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0406 loss: 0.0406 2022/08/05 19:14:54 - mmengine - INFO - Epoch(train) [206][60/314] lr: 1.0204e-02 eta: 1:01:27 time: 0.3462 data_time: 0.0504 memory: 9706 grad_norm: 1.4536 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0635 loss: 0.0635 2022/08/05 19:15:01 - mmengine - INFO - Epoch(train) [206][80/314] lr: 1.0168e-02 eta: 1:01:20 time: 0.3406 data_time: 0.0456 memory: 9706 grad_norm: 1.5284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0595 loss: 0.0595 2022/08/05 19:15:08 - mmengine - INFO - Epoch(train) [206][100/314] lr: 1.0131e-02 eta: 1:01:13 time: 0.3525 data_time: 0.0486 memory: 9706 grad_norm: 1.2328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0692 loss: 0.0692 2022/08/05 19:15:15 - mmengine - INFO - Epoch(train) [206][120/314] lr: 1.0094e-02 eta: 1:01:06 time: 0.3371 data_time: 0.0424 memory: 9706 grad_norm: 1.2270 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0484 loss: 0.0484 2022/08/05 19:15:21 - mmengine - INFO - Epoch(train) [206][140/314] lr: 1.0058e-02 eta: 1:01:00 time: 0.3458 data_time: 0.0381 memory: 9706 grad_norm: 1.4726 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0603 loss: 0.0603 2022/08/05 19:15:28 - mmengine - INFO - Epoch(train) [206][160/314] lr: 1.0022e-02 eta: 1:00:53 time: 0.3472 data_time: 0.0424 memory: 9706 grad_norm: 1.3390 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0536 loss: 0.0536 2022/08/05 19:15:35 - mmengine - INFO - Epoch(train) [206][180/314] lr: 9.9852e-03 eta: 1:00:46 time: 0.3507 data_time: 0.0460 memory: 9706 grad_norm: 1.3653 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0731 loss: 0.0731 2022/08/05 19:15:42 - mmengine - INFO - Epoch(train) [206][200/314] lr: 9.9489e-03 eta: 1:00:40 time: 0.3502 data_time: 0.0419 memory: 9706 grad_norm: 1.4909 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0779 loss: 0.0779 2022/08/05 19:15:49 - mmengine - INFO - Epoch(train) [206][220/314] lr: 9.9127e-03 eta: 1:00:33 time: 0.3458 data_time: 0.0401 memory: 9706 grad_norm: 1.1968 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0802 loss: 0.0802 2022/08/05 19:15:56 - mmengine - INFO - Epoch(train) [206][240/314] lr: 9.8765e-03 eta: 1:00:26 time: 0.3447 data_time: 0.0447 memory: 9706 grad_norm: 1.2962 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0474 loss: 0.0474 2022/08/05 19:16:03 - mmengine - INFO - Epoch(train) [206][260/314] lr: 9.8404e-03 eta: 1:00:19 time: 0.3554 data_time: 0.0464 memory: 9706 grad_norm: 1.3403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.1015 loss: 0.1015 2022/08/05 19:16:10 - mmengine - INFO - Epoch(train) [206][280/314] lr: 9.8044e-03 eta: 1:00:13 time: 0.3372 data_time: 0.0480 memory: 9706 grad_norm: 1.3613 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0355 loss: 0.0355 2022/08/05 19:16:17 - mmengine - INFO - Epoch(train) [206][300/314] lr: 9.7684e-03 eta: 1:00:06 time: 0.3412 data_time: 0.0438 memory: 9706 grad_norm: 1.3440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0558 loss: 0.0558 2022/08/05 19:16:21 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:16:21 - mmengine - INFO - Epoch(train) [206][314/314] lr: 9.7433e-03 eta: 1:00:06 time: 0.2910 data_time: 0.0390 memory: 9706 grad_norm: 1.3474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0595 loss: 0.0595 2022/08/05 19:16:21 - mmengine - INFO - Saving checkpoint at 206 epochs 2022/08/05 19:16:33 - mmengine - INFO - Epoch(train) [207][20/314] lr: 9.7074e-03 eta: 0:59:54 time: 0.4687 data_time: 0.1893 memory: 9706 grad_norm: 1.3611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0535 loss: 0.0535 2022/08/05 19:16:40 - mmengine - INFO - Epoch(train) [207][40/314] lr: 9.6716e-03 eta: 0:59:47 time: 0.3448 data_time: 0.0483 memory: 9706 grad_norm: 1.1910 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0711 loss: 0.0711 2022/08/05 19:16:47 - mmengine - INFO - Epoch(train) [207][60/314] lr: 9.6359e-03 eta: 0:59:41 time: 0.3452 data_time: 0.0505 memory: 9706 grad_norm: 1.3231 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0591 loss: 0.0591 2022/08/05 19:16:54 - mmengine - INFO - Epoch(train) [207][80/314] lr: 9.6002e-03 eta: 0:59:34 time: 0.3407 data_time: 0.0475 memory: 9706 grad_norm: 1.5774 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0637 loss: 0.0637 2022/08/05 19:17:01 - mmengine - INFO - Epoch(train) [207][100/314] lr: 9.5646e-03 eta: 0:59:27 time: 0.3519 data_time: 0.0427 memory: 9706 grad_norm: 1.4513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0346 loss: 0.0346 2022/08/05 19:17:07 - mmengine - INFO - Epoch(train) [207][120/314] lr: 9.5290e-03 eta: 0:59:21 time: 0.3440 data_time: 0.0469 memory: 9706 grad_norm: 1.3711 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0940 loss: 0.0940 2022/08/05 19:17:14 - mmengine - INFO - Epoch(train) [207][140/314] lr: 9.4935e-03 eta: 0:59:14 time: 0.3387 data_time: 0.0443 memory: 9706 grad_norm: 1.3200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0512 loss: 0.0512 2022/08/05 19:17:21 - mmengine - INFO - Epoch(train) [207][160/314] lr: 9.4581e-03 eta: 0:59:07 time: 0.3427 data_time: 0.0463 memory: 9706 grad_norm: 1.5600 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0717 loss: 0.0717 2022/08/05 19:17:28 - mmengine - INFO - Epoch(train) [207][180/314] lr: 9.4227e-03 eta: 0:59:00 time: 0.3492 data_time: 0.0437 memory: 9706 grad_norm: 1.1787 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0539 loss: 0.0539 2022/08/05 19:17:35 - mmengine - INFO - Epoch(train) [207][200/314] lr: 9.3874e-03 eta: 0:58:54 time: 0.3483 data_time: 0.0531 memory: 9706 grad_norm: 1.3258 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0581 loss: 0.0581 2022/08/05 19:17:42 - mmengine - INFO - Epoch(train) [207][220/314] lr: 9.3522e-03 eta: 0:58:47 time: 0.3566 data_time: 0.0499 memory: 9706 grad_norm: 1.1924 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0444 loss: 0.0444 2022/08/05 19:17:49 - mmengine - INFO - Epoch(train) [207][240/314] lr: 9.3170e-03 eta: 0:58:40 time: 0.3433 data_time: 0.0445 memory: 9706 grad_norm: 1.3707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0906 loss: 0.0906 2022/08/05 19:17:56 - mmengine - INFO - Epoch(train) [207][260/314] lr: 9.2819e-03 eta: 0:58:34 time: 0.3477 data_time: 0.0461 memory: 9706 grad_norm: 1.4786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0502 loss: 0.0502 2022/08/05 19:18:03 - mmengine - INFO - Epoch(train) [207][280/314] lr: 9.2469e-03 eta: 0:58:27 time: 0.3510 data_time: 0.0448 memory: 9706 grad_norm: 1.4409 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0768 loss: 0.0768 2022/08/05 19:18:10 - mmengine - INFO - Epoch(train) [207][300/314] lr: 9.2119e-03 eta: 0:58:20 time: 0.3485 data_time: 0.0448 memory: 9706 grad_norm: 1.1672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0346 loss: 0.0346 2022/08/05 19:18:14 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:18:14 - mmengine - INFO - Epoch(train) [207][314/314] lr: 9.1874e-03 eta: 0:58:20 time: 0.2981 data_time: 0.0369 memory: 9706 grad_norm: 1.4317 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0545 loss: 0.0545 2022/08/05 19:18:14 - mmengine - INFO - Saving checkpoint at 207 epochs 2022/08/05 19:18:20 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:18:26 - mmengine - INFO - Epoch(train) [208][20/314] lr: 9.1526e-03 eta: 0:58:08 time: 0.4698 data_time: 0.1958 memory: 9706 grad_norm: 1.4213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0491 loss: 0.0491 2022/08/05 19:18:33 - mmengine - INFO - Epoch(train) [208][40/314] lr: 9.1177e-03 eta: 0:58:02 time: 0.3373 data_time: 0.0409 memory: 9706 grad_norm: 1.2649 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0686 loss: 0.0686 2022/08/05 19:18:40 - mmengine - INFO - Epoch(train) [208][60/314] lr: 9.0830e-03 eta: 0:57:55 time: 0.3503 data_time: 0.0451 memory: 9706 grad_norm: 1.2757 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0307 loss: 0.0307 2022/08/05 19:18:47 - mmengine - INFO - Epoch(train) [208][80/314] lr: 9.0483e-03 eta: 0:57:48 time: 0.3413 data_time: 0.0449 memory: 9706 grad_norm: 1.4327 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0946 loss: 0.0946 2022/08/05 19:18:54 - mmengine - INFO - Epoch(train) [208][100/314] lr: 9.0137e-03 eta: 0:57:41 time: 0.3468 data_time: 0.0456 memory: 9706 grad_norm: 1.2379 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0816 loss: 0.0816 2022/08/05 19:19:00 - mmengine - INFO - Epoch(train) [208][120/314] lr: 8.9791e-03 eta: 0:57:35 time: 0.3412 data_time: 0.0424 memory: 9706 grad_norm: 1.3190 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0743 loss: 0.0743 2022/08/05 19:19:07 - mmengine - INFO - Epoch(train) [208][140/314] lr: 8.9446e-03 eta: 0:57:28 time: 0.3540 data_time: 0.0485 memory: 9706 grad_norm: 1.3823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0403 loss: 0.0403 2022/08/05 19:19:15 - mmengine - INFO - Epoch(train) [208][160/314] lr: 8.9102e-03 eta: 0:57:21 time: 0.3537 data_time: 0.0454 memory: 9706 grad_norm: 1.1206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0582 loss: 0.0582 2022/08/05 19:19:21 - mmengine - INFO - Epoch(train) [208][180/314] lr: 8.8758e-03 eta: 0:57:15 time: 0.3336 data_time: 0.0429 memory: 9706 grad_norm: 1.1521 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0358 loss: 0.0358 2022/08/05 19:19:28 - mmengine - INFO - Epoch(train) [208][200/314] lr: 8.8415e-03 eta: 0:57:08 time: 0.3425 data_time: 0.0447 memory: 9706 grad_norm: 1.2959 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0521 loss: 0.0521 2022/08/05 19:19:35 - mmengine - INFO - Epoch(train) [208][220/314] lr: 8.8073e-03 eta: 0:57:01 time: 0.3424 data_time: 0.0486 memory: 9706 grad_norm: 1.5237 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0655 loss: 0.0655 2022/08/05 19:19:42 - mmengine - INFO - Epoch(train) [208][240/314] lr: 8.7731e-03 eta: 0:56:54 time: 0.3444 data_time: 0.0417 memory: 9706 grad_norm: 1.2356 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0758 loss: 0.0758 2022/08/05 19:19:49 - mmengine - INFO - Epoch(train) [208][260/314] lr: 8.7390e-03 eta: 0:56:48 time: 0.3474 data_time: 0.0498 memory: 9706 grad_norm: 1.3159 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0682 loss: 0.0682 2022/08/05 19:19:56 - mmengine - INFO - Epoch(train) [208][280/314] lr: 8.7049e-03 eta: 0:56:41 time: 0.3465 data_time: 0.0528 memory: 9706 grad_norm: 1.3345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0811 loss: 0.0811 2022/08/05 19:20:03 - mmengine - INFO - Epoch(train) [208][300/314] lr: 8.6709e-03 eta: 0:56:34 time: 0.3450 data_time: 0.0420 memory: 9706 grad_norm: 1.0738 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0518 loss: 0.0518 2022/08/05 19:20:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:20:06 - mmengine - INFO - Epoch(train) [208][314/314] lr: 8.6471e-03 eta: 0:56:34 time: 0.2915 data_time: 0.0345 memory: 9706 grad_norm: 1.2970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0338 loss: 0.0338 2022/08/05 19:20:06 - mmengine - INFO - Saving checkpoint at 208 epochs 2022/08/05 19:20:18 - mmengine - INFO - Epoch(train) [209][20/314] lr: 8.6133e-03 eta: 0:56:22 time: 0.4589 data_time: 0.1753 memory: 9706 grad_norm: 1.2371 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0520 loss: 0.0520 2022/08/05 19:20:25 - mmengine - INFO - Epoch(train) [209][40/314] lr: 8.5794e-03 eta: 0:56:16 time: 0.3453 data_time: 0.0478 memory: 9706 grad_norm: 1.2539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0662 loss: 0.0662 2022/08/05 19:20:32 - mmengine - INFO - Epoch(train) [209][60/314] lr: 8.5457e-03 eta: 0:56:09 time: 0.3416 data_time: 0.0458 memory: 9706 grad_norm: 1.2297 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0826 loss: 0.0826 2022/08/05 19:20:39 - mmengine - INFO - Epoch(train) [209][80/314] lr: 8.5120e-03 eta: 0:56:02 time: 0.3547 data_time: 0.0417 memory: 9706 grad_norm: 1.1443 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0390 loss: 0.0390 2022/08/05 19:20:46 - mmengine - INFO - Epoch(train) [209][100/314] lr: 8.4784e-03 eta: 0:55:56 time: 0.3529 data_time: 0.0415 memory: 9706 grad_norm: 1.2460 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0335 loss: 0.0335 2022/08/05 19:20:53 - mmengine - INFO - Epoch(train) [209][120/314] lr: 8.4448e-03 eta: 0:55:49 time: 0.3438 data_time: 0.0441 memory: 9706 grad_norm: 1.2427 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0504 loss: 0.0504 2022/08/05 19:21:00 - mmengine - INFO - Epoch(train) [209][140/314] lr: 8.4113e-03 eta: 0:55:42 time: 0.3385 data_time: 0.0424 memory: 9706 grad_norm: 1.3832 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0541 loss: 0.0541 2022/08/05 19:21:07 - mmengine - INFO - Epoch(train) [209][160/314] lr: 8.3779e-03 eta: 0:55:35 time: 0.3556 data_time: 0.0548 memory: 9706 grad_norm: 1.2092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0488 loss: 0.0488 2022/08/05 19:21:14 - mmengine - INFO - Epoch(train) [209][180/314] lr: 8.3445e-03 eta: 0:55:29 time: 0.3414 data_time: 0.0430 memory: 9706 grad_norm: 1.2490 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0579 loss: 0.0579 2022/08/05 19:21:20 - mmengine - INFO - Epoch(train) [209][200/314] lr: 8.3112e-03 eta: 0:55:22 time: 0.3382 data_time: 0.0495 memory: 9706 grad_norm: 1.1909 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0702 loss: 0.0702 2022/08/05 19:21:28 - mmengine - INFO - Epoch(train) [209][220/314] lr: 8.2779e-03 eta: 0:55:15 time: 0.3541 data_time: 0.0467 memory: 9706 grad_norm: 1.4163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0598 loss: 0.0598 2022/08/05 19:21:34 - mmengine - INFO - Epoch(train) [209][240/314] lr: 8.2447e-03 eta: 0:55:08 time: 0.3410 data_time: 0.0430 memory: 9706 grad_norm: 1.3718 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0385 loss: 0.0385 2022/08/05 19:21:41 - mmengine - INFO - Epoch(train) [209][260/314] lr: 8.2116e-03 eta: 0:55:02 time: 0.3474 data_time: 0.0422 memory: 9706 grad_norm: 1.4537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0531 loss: 0.0531 2022/08/05 19:21:48 - mmengine - INFO - Epoch(train) [209][280/314] lr: 8.1786e-03 eta: 0:54:55 time: 0.3536 data_time: 0.0434 memory: 9706 grad_norm: 1.4809 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0548 loss: 0.0548 2022/08/05 19:21:55 - mmengine - INFO - Epoch(train) [209][300/314] lr: 8.1456e-03 eta: 0:54:48 time: 0.3429 data_time: 0.0411 memory: 9706 grad_norm: 1.4471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.1009 loss: 0.1009 2022/08/05 19:21:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:21:59 - mmengine - INFO - Epoch(train) [209][314/314] lr: 8.1225e-03 eta: 0:54:48 time: 0.2949 data_time: 0.0398 memory: 9706 grad_norm: 1.3076 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0504 loss: 0.0504 2022/08/05 19:21:59 - mmengine - INFO - Saving checkpoint at 209 epochs 2022/08/05 19:22:11 - mmengine - INFO - Epoch(train) [210][20/314] lr: 8.0896e-03 eta: 0:54:36 time: 0.4578 data_time: 0.1815 memory: 9706 grad_norm: 1.1465 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0311 loss: 0.0311 2022/08/05 19:22:18 - mmengine - INFO - Epoch(train) [210][40/314] lr: 8.0568e-03 eta: 0:54:30 time: 0.3514 data_time: 0.0542 memory: 9706 grad_norm: 1.1885 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0534 loss: 0.0534 2022/08/05 19:22:25 - mmengine - INFO - Epoch(train) [210][60/314] lr: 8.0241e-03 eta: 0:54:23 time: 0.3403 data_time: 0.0441 memory: 9706 grad_norm: 1.3527 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0514 loss: 0.0514 2022/08/05 19:22:32 - mmengine - INFO - Epoch(train) [210][80/314] lr: 7.9914e-03 eta: 0:54:16 time: 0.3437 data_time: 0.0438 memory: 9706 grad_norm: 1.3747 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0301 loss: 0.0301 2022/08/05 19:22:39 - mmengine - INFO - Epoch(train) [210][100/314] lr: 7.9587e-03 eta: 0:54:10 time: 0.3458 data_time: 0.0443 memory: 9706 grad_norm: 1.3161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0527 loss: 0.0527 2022/08/05 19:22:46 - mmengine - INFO - Epoch(train) [210][120/314] lr: 7.9262e-03 eta: 0:54:03 time: 0.3498 data_time: 0.0538 memory: 9706 grad_norm: 1.2608 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0335 loss: 0.0335 2022/08/05 19:22:53 - mmengine - INFO - Epoch(train) [210][140/314] lr: 7.8937e-03 eta: 0:53:56 time: 0.3404 data_time: 0.0400 memory: 9706 grad_norm: 1.4803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0954 loss: 0.0954 2022/08/05 19:23:00 - mmengine - INFO - Epoch(train) [210][160/314] lr: 7.8612e-03 eta: 0:53:49 time: 0.3439 data_time: 0.0541 memory: 9706 grad_norm: 1.2708 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0687 loss: 0.0687 2022/08/05 19:23:07 - mmengine - INFO - Epoch(train) [210][180/314] lr: 7.8289e-03 eta: 0:53:43 time: 0.3489 data_time: 0.0418 memory: 9706 grad_norm: 1.1730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0689 loss: 0.0689 2022/08/05 19:23:13 - mmengine - INFO - Epoch(train) [210][200/314] lr: 7.7966e-03 eta: 0:53:36 time: 0.3472 data_time: 0.0416 memory: 9706 grad_norm: 1.4329 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0426 loss: 0.0426 2022/08/05 19:23:20 - mmengine - INFO - Epoch(train) [210][220/314] lr: 7.7643e-03 eta: 0:53:29 time: 0.3456 data_time: 0.0465 memory: 9706 grad_norm: 1.3843 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0676 loss: 0.0676 2022/08/05 19:23:27 - mmengine - INFO - Epoch(train) [210][240/314] lr: 7.7321e-03 eta: 0:53:23 time: 0.3380 data_time: 0.0460 memory: 9706 grad_norm: 1.2298 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0541 loss: 0.0541 2022/08/05 19:23:34 - mmengine - INFO - Epoch(train) [210][260/314] lr: 7.7000e-03 eta: 0:53:16 time: 0.3606 data_time: 0.0527 memory: 9706 grad_norm: 1.3832 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0633 loss: 0.0633 2022/08/05 19:23:41 - mmengine - INFO - Epoch(train) [210][280/314] lr: 7.6680e-03 eta: 0:53:09 time: 0.3437 data_time: 0.0399 memory: 9706 grad_norm: 1.1646 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0446 loss: 0.0446 2022/08/05 19:23:48 - mmengine - INFO - Epoch(train) [210][300/314] lr: 7.6360e-03 eta: 0:53:02 time: 0.3374 data_time: 0.0420 memory: 9706 grad_norm: 1.1758 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0498 loss: 0.0498 2022/08/05 19:23:52 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:23:52 - mmengine - INFO - Epoch(train) [210][314/314] lr: 7.6136e-03 eta: 0:53:02 time: 0.2922 data_time: 0.0372 memory: 9706 grad_norm: 1.2254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0360 loss: 0.0360 2022/08/05 19:23:52 - mmengine - INFO - Saving checkpoint at 210 epochs 2022/08/05 19:24:04 - mmengine - INFO - Epoch(val) [210][20/129] eta: 0:00:49 time: 0.4580 data_time: 0.2872 memory: 1867 2022/08/05 19:24:10 - mmengine - INFO - Epoch(val) [210][40/129] eta: 0:00:26 time: 0.2985 data_time: 0.1240 memory: 1867 2022/08/05 19:24:17 - mmengine - INFO - Epoch(val) [210][60/129] eta: 0:00:23 time: 0.3416 data_time: 0.1579 memory: 1867 2022/08/05 19:24:23 - mmengine - INFO - Epoch(val) [210][80/129] eta: 0:00:15 time: 0.3133 data_time: 0.1311 memory: 1867 2022/08/05 19:24:30 - mmengine - INFO - Epoch(val) [210][100/129] eta: 0:00:09 time: 0.3370 data_time: 0.1558 memory: 1867 2022/08/05 19:24:35 - mmengine - INFO - Epoch(val) [210][120/129] eta: 0:00:02 time: 0.2734 data_time: 0.1064 memory: 1867 2022/08/05 19:24:38 - mmengine - INFO - Epoch(val) [210][129/129] acc/top1: 0.9269 acc/top5: 0.9944 acc/mean1: 0.9268 2022/08/05 19:24:38 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_201.pth is removed 2022/08/05 19:24:41 - mmengine - INFO - The best checkpoint with 0.9269 acc/top1 at 211 epoch is saved to best_acc/top1_epoch_211.pth. 2022/08/05 19:24:50 - mmengine - INFO - Epoch(train) [211][20/314] lr: 7.5818e-03 eta: 0:52:51 time: 0.4715 data_time: 0.1906 memory: 9706 grad_norm: 1.4239 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0308 loss: 0.0308 2022/08/05 19:24:57 - mmengine - INFO - Epoch(train) [211][40/314] lr: 7.5500e-03 eta: 0:52:44 time: 0.3451 data_time: 0.0422 memory: 9706 grad_norm: 1.2855 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0575 loss: 0.0575 2022/08/05 19:25:04 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:25:04 - mmengine - INFO - Epoch(train) [211][60/314] lr: 7.5182e-03 eta: 0:52:37 time: 0.3437 data_time: 0.0420 memory: 9706 grad_norm: 1.1680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0310 loss: 0.0310 2022/08/05 19:25:11 - mmengine - INFO - Epoch(train) [211][80/314] lr: 7.4865e-03 eta: 0:52:30 time: 0.3514 data_time: 0.0444 memory: 9706 grad_norm: 1.2324 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0647 loss: 0.0647 2022/08/05 19:25:18 - mmengine - INFO - Epoch(train) [211][100/314] lr: 7.4549e-03 eta: 0:52:24 time: 0.3481 data_time: 0.0452 memory: 9706 grad_norm: 1.3212 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0442 loss: 0.0442 2022/08/05 19:25:25 - mmengine - INFO - Epoch(train) [211][120/314] lr: 7.4233e-03 eta: 0:52:17 time: 0.3400 data_time: 0.0437 memory: 9706 grad_norm: 1.2425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0324 loss: 0.0324 2022/08/05 19:25:32 - mmengine - INFO - Epoch(train) [211][140/314] lr: 7.3918e-03 eta: 0:52:10 time: 0.3407 data_time: 0.0444 memory: 9706 grad_norm: 1.3492 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0412 loss: 0.0412 2022/08/05 19:25:39 - mmengine - INFO - Epoch(train) [211][160/314] lr: 7.3604e-03 eta: 0:52:04 time: 0.3503 data_time: 0.0435 memory: 9706 grad_norm: 1.1800 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0272 loss: 0.0272 2022/08/05 19:25:46 - mmengine - INFO - Epoch(train) [211][180/314] lr: 7.3291e-03 eta: 0:51:57 time: 0.3527 data_time: 0.0441 memory: 9706 grad_norm: 1.4071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0644 loss: 0.0644 2022/08/05 19:25:52 - mmengine - INFO - Epoch(train) [211][200/314] lr: 7.2978e-03 eta: 0:51:50 time: 0.3432 data_time: 0.0558 memory: 9706 grad_norm: 1.2823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0522 loss: 0.0522 2022/08/05 19:25:59 - mmengine - INFO - Epoch(train) [211][220/314] lr: 7.2665e-03 eta: 0:51:43 time: 0.3438 data_time: 0.0434 memory: 9706 grad_norm: 1.2327 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0465 loss: 0.0465 2022/08/05 19:26:06 - mmengine - INFO - Epoch(train) [211][240/314] lr: 7.2354e-03 eta: 0:51:37 time: 0.3495 data_time: 0.0419 memory: 9706 grad_norm: 1.2494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0478 loss: 0.0478 2022/08/05 19:26:13 - mmengine - INFO - Epoch(train) [211][260/314] lr: 7.2043e-03 eta: 0:51:30 time: 0.3440 data_time: 0.0450 memory: 9706 grad_norm: 1.2496 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0475 loss: 0.0475 2022/08/05 19:26:20 - mmengine - INFO - Epoch(train) [211][280/314] lr: 7.1732e-03 eta: 0:51:23 time: 0.3527 data_time: 0.0556 memory: 9706 grad_norm: 1.3301 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0495 loss: 0.0495 2022/08/05 19:26:27 - mmengine - INFO - Epoch(train) [211][300/314] lr: 7.1422e-03 eta: 0:51:16 time: 0.3405 data_time: 0.0439 memory: 9706 grad_norm: 1.2932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0425 loss: 0.0425 2022/08/05 19:26:31 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:26:31 - mmengine - INFO - Epoch(train) [211][314/314] lr: 7.1206e-03 eta: 0:51:16 time: 0.2920 data_time: 0.0363 memory: 9706 grad_norm: 1.3823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0463 loss: 0.0463 2022/08/05 19:26:31 - mmengine - INFO - Saving checkpoint at 211 epochs 2022/08/05 19:26:43 - mmengine - INFO - Epoch(train) [212][20/314] lr: 7.0897e-03 eta: 0:51:05 time: 0.4749 data_time: 0.1996 memory: 9706 grad_norm: 1.2365 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0506 loss: 0.0506 2022/08/05 19:26:50 - mmengine - INFO - Epoch(train) [212][40/314] lr: 7.0589e-03 eta: 0:50:58 time: 0.3555 data_time: 0.0424 memory: 9706 grad_norm: 0.9983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0353 loss: 0.0353 2022/08/05 19:26:57 - mmengine - INFO - Epoch(train) [212][60/314] lr: 7.0282e-03 eta: 0:50:51 time: 0.3503 data_time: 0.0428 memory: 9706 grad_norm: 1.3222 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0552 loss: 0.0552 2022/08/05 19:27:04 - mmengine - INFO - Epoch(train) [212][80/314] lr: 6.9975e-03 eta: 0:50:45 time: 0.3374 data_time: 0.0434 memory: 9706 grad_norm: 1.2843 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0325 loss: 0.0325 2022/08/05 19:27:11 - mmengine - INFO - Epoch(train) [212][100/314] lr: 6.9669e-03 eta: 0:50:38 time: 0.3504 data_time: 0.0457 memory: 9706 grad_norm: 1.3227 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0313 loss: 0.0313 2022/08/05 19:27:18 - mmengine - INFO - Epoch(train) [212][120/314] lr: 6.9364e-03 eta: 0:50:31 time: 0.3474 data_time: 0.0386 memory: 9706 grad_norm: 1.2912 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0364 loss: 0.0364 2022/08/05 19:27:25 - mmengine - INFO - Epoch(train) [212][140/314] lr: 6.9059e-03 eta: 0:50:24 time: 0.3647 data_time: 0.0494 memory: 9706 grad_norm: 1.3713 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0579 loss: 0.0579 2022/08/05 19:27:32 - mmengine - INFO - Epoch(train) [212][160/314] lr: 6.8755e-03 eta: 0:50:18 time: 0.3309 data_time: 0.0421 memory: 9706 grad_norm: 1.2963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0417 loss: 0.0417 2022/08/05 19:27:39 - mmengine - INFO - Epoch(train) [212][180/314] lr: 6.8451e-03 eta: 0:50:11 time: 0.3552 data_time: 0.0477 memory: 9706 grad_norm: 1.4163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0758 loss: 0.0758 2022/08/05 19:27:46 - mmengine - INFO - Epoch(train) [212][200/314] lr: 6.8148e-03 eta: 0:50:04 time: 0.3434 data_time: 0.0486 memory: 9706 grad_norm: 1.1756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0757 loss: 0.0757 2022/08/05 19:27:53 - mmengine - INFO - Epoch(train) [212][220/314] lr: 6.7846e-03 eta: 0:49:58 time: 0.3467 data_time: 0.0443 memory: 9706 grad_norm: 1.5087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0713 loss: 0.0713 2022/08/05 19:28:00 - mmengine - INFO - Epoch(train) [212][240/314] lr: 6.7545e-03 eta: 0:49:51 time: 0.3466 data_time: 0.0431 memory: 9706 grad_norm: 1.0789 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0303 loss: 0.0303 2022/08/05 19:28:07 - mmengine - INFO - Epoch(train) [212][260/314] lr: 6.7244e-03 eta: 0:49:44 time: 0.3562 data_time: 0.0429 memory: 9706 grad_norm: 1.1452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0411 loss: 0.0411 2022/08/05 19:28:14 - mmengine - INFO - Epoch(train) [212][280/314] lr: 6.6943e-03 eta: 0:49:37 time: 0.3439 data_time: 0.0401 memory: 9706 grad_norm: 1.1754 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0279 loss: 0.0279 2022/08/05 19:28:21 - mmengine - INFO - Epoch(train) [212][300/314] lr: 6.6644e-03 eta: 0:49:31 time: 0.3461 data_time: 0.0447 memory: 9706 grad_norm: 1.2685 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0711 loss: 0.0711 2022/08/05 19:28:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:28:24 - mmengine - INFO - Epoch(train) [212][314/314] lr: 6.6435e-03 eta: 0:49:31 time: 0.2961 data_time: 0.0358 memory: 9706 grad_norm: 1.4355 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0471 loss: 0.0471 2022/08/05 19:28:25 - mmengine - INFO - Saving checkpoint at 212 epochs 2022/08/05 19:28:37 - mmengine - INFO - Epoch(train) [213][20/314] lr: 6.6136e-03 eta: 0:49:19 time: 0.4576 data_time: 0.1722 memory: 9706 grad_norm: 1.2858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0401 loss: 0.0401 2022/08/05 19:28:43 - mmengine - INFO - Epoch(train) [213][40/314] lr: 6.5838e-03 eta: 0:49:12 time: 0.3457 data_time: 0.0447 memory: 9706 grad_norm: 1.1558 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0476 loss: 0.0476 2022/08/05 19:28:50 - mmengine - INFO - Epoch(train) [213][60/314] lr: 6.5541e-03 eta: 0:49:05 time: 0.3431 data_time: 0.0449 memory: 9706 grad_norm: 1.2294 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0538 loss: 0.0538 2022/08/05 19:28:57 - mmengine - INFO - Epoch(train) [213][80/314] lr: 6.5244e-03 eta: 0:48:59 time: 0.3463 data_time: 0.0443 memory: 9706 grad_norm: 1.0403 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0249 loss: 0.0249 2022/08/05 19:29:04 - mmengine - INFO - Epoch(train) [213][100/314] lr: 6.4949e-03 eta: 0:48:52 time: 0.3550 data_time: 0.0439 memory: 9706 grad_norm: 1.1807 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0452 loss: 0.0452 2022/08/05 19:29:11 - mmengine - INFO - Epoch(train) [213][120/314] lr: 6.4653e-03 eta: 0:48:45 time: 0.3480 data_time: 0.0488 memory: 9706 grad_norm: 1.3054 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0349 loss: 0.0349 2022/08/05 19:29:18 - mmengine - INFO - Epoch(train) [213][140/314] lr: 6.4359e-03 eta: 0:48:39 time: 0.3445 data_time: 0.0389 memory: 9706 grad_norm: 1.2976 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0521 loss: 0.0521 2022/08/05 19:29:25 - mmengine - INFO - Epoch(train) [213][160/314] lr: 6.4065e-03 eta: 0:48:32 time: 0.3518 data_time: 0.0579 memory: 9706 grad_norm: 1.0736 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0383 loss: 0.0383 2022/08/05 19:29:32 - mmengine - INFO - Epoch(train) [213][180/314] lr: 6.3771e-03 eta: 0:48:25 time: 0.3354 data_time: 0.0413 memory: 9706 grad_norm: 1.2249 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0288 loss: 0.0288 2022/08/05 19:29:39 - mmengine - INFO - Epoch(train) [213][200/314] lr: 6.3479e-03 eta: 0:48:18 time: 0.3473 data_time: 0.0478 memory: 9706 grad_norm: 1.3458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0586 loss: 0.0586 2022/08/05 19:29:46 - mmengine - INFO - Epoch(train) [213][220/314] lr: 6.3187e-03 eta: 0:48:12 time: 0.3528 data_time: 0.0445 memory: 9706 grad_norm: 1.2125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0473 loss: 0.0473 2022/08/05 19:29:53 - mmengine - INFO - Epoch(train) [213][240/314] lr: 6.2895e-03 eta: 0:48:05 time: 0.3398 data_time: 0.0501 memory: 9706 grad_norm: 1.2863 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0312 loss: 0.0312 2022/08/05 19:30:00 - mmengine - INFO - Epoch(train) [213][260/314] lr: 6.2605e-03 eta: 0:47:58 time: 0.3512 data_time: 0.0436 memory: 9706 grad_norm: 1.2146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0482 loss: 0.0482 2022/08/05 19:30:07 - mmengine - INFO - Epoch(train) [213][280/314] lr: 6.2315e-03 eta: 0:47:51 time: 0.3429 data_time: 0.0432 memory: 9706 grad_norm: 1.1176 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0366 loss: 0.0366 2022/08/05 19:30:13 - mmengine - INFO - Epoch(train) [213][300/314] lr: 6.2025e-03 eta: 0:47:45 time: 0.3354 data_time: 0.0410 memory: 9706 grad_norm: 1.3585 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0432 loss: 0.0432 2022/08/05 19:30:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:30:17 - mmengine - INFO - Epoch(train) [213][314/314] lr: 6.1823e-03 eta: 0:47:45 time: 0.2887 data_time: 0.0381 memory: 9706 grad_norm: 1.3462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.0503 loss: 0.0503 2022/08/05 19:30:17 - mmengine - INFO - Saving checkpoint at 213 epochs 2022/08/05 19:30:29 - mmengine - INFO - Epoch(train) [214][20/314] lr: 6.1535e-03 eta: 0:47:33 time: 0.4617 data_time: 0.1871 memory: 9706 grad_norm: 1.1236 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0323 loss: 0.0323 2022/08/05 19:30:36 - mmengine - INFO - Epoch(train) [214][40/314] lr: 6.1247e-03 eta: 0:47:26 time: 0.3557 data_time: 0.0515 memory: 9706 grad_norm: 1.1528 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0570 loss: 0.0570 2022/08/05 19:30:43 - mmengine - INFO - Epoch(train) [214][60/314] lr: 6.0960e-03 eta: 0:47:20 time: 0.3416 data_time: 0.0405 memory: 9706 grad_norm: 1.3631 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0296 loss: 0.0296 2022/08/05 19:30:50 - mmengine - INFO - Epoch(train) [214][80/314] lr: 6.0674e-03 eta: 0:47:13 time: 0.3412 data_time: 0.0465 memory: 9706 grad_norm: 1.1574 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0561 loss: 0.0561 2022/08/05 19:30:57 - mmengine - INFO - Epoch(train) [214][100/314] lr: 6.0388e-03 eta: 0:47:06 time: 0.3480 data_time: 0.0465 memory: 9706 grad_norm: 1.2156 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0429 loss: 0.0429 2022/08/05 19:31:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:31:04 - mmengine - INFO - Epoch(train) [214][120/314] lr: 6.0103e-03 eta: 0:46:59 time: 0.3440 data_time: 0.0410 memory: 9706 grad_norm: 1.2701 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0381 loss: 0.0381 2022/08/05 19:31:11 - mmengine - INFO - Epoch(train) [214][140/314] lr: 5.9819e-03 eta: 0:46:53 time: 0.3365 data_time: 0.0443 memory: 9706 grad_norm: 1.1358 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0485 loss: 0.0485 2022/08/05 19:31:18 - mmengine - INFO - Epoch(train) [214][160/314] lr: 5.9535e-03 eta: 0:46:46 time: 0.3484 data_time: 0.0474 memory: 9706 grad_norm: 1.3257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0362 loss: 0.0362 2022/08/05 19:31:24 - mmengine - INFO - Epoch(train) [214][180/314] lr: 5.9252e-03 eta: 0:46:39 time: 0.3343 data_time: 0.0429 memory: 9706 grad_norm: 1.1506 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0513 loss: 0.0513 2022/08/05 19:31:31 - mmengine - INFO - Epoch(train) [214][200/314] lr: 5.8970e-03 eta: 0:46:32 time: 0.3472 data_time: 0.0432 memory: 9706 grad_norm: 1.3635 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0507 loss: 0.0507 2022/08/05 19:31:38 - mmengine - INFO - Epoch(train) [214][220/314] lr: 5.8688e-03 eta: 0:46:26 time: 0.3545 data_time: 0.0442 memory: 9706 grad_norm: 1.0833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0420 loss: 0.0420 2022/08/05 19:31:45 - mmengine - INFO - Epoch(train) [214][240/314] lr: 5.8407e-03 eta: 0:46:19 time: 0.3433 data_time: 0.0463 memory: 9706 grad_norm: 0.9583 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0321 loss: 0.0321 2022/08/05 19:31:52 - mmengine - INFO - Epoch(train) [214][260/314] lr: 5.8126e-03 eta: 0:46:12 time: 0.3501 data_time: 0.0485 memory: 9706 grad_norm: 1.1523 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0214 loss: 0.0214 2022/08/05 19:31:59 - mmengine - INFO - Epoch(train) [214][280/314] lr: 5.7847e-03 eta: 0:46:06 time: 0.3537 data_time: 0.0413 memory: 9706 grad_norm: 1.3132 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0523 loss: 0.0523 2022/08/05 19:32:06 - mmengine - INFO - Epoch(train) [214][300/314] lr: 5.7567e-03 eta: 0:45:59 time: 0.3396 data_time: 0.0440 memory: 9706 grad_norm: 1.1803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0511 loss: 0.0511 2022/08/05 19:32:10 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:32:10 - mmengine - INFO - Epoch(train) [214][314/314] lr: 5.7372e-03 eta: 0:45:59 time: 0.2902 data_time: 0.0378 memory: 9706 grad_norm: 1.4351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0489 loss: 0.0489 2022/08/05 19:32:10 - mmengine - INFO - Saving checkpoint at 214 epochs 2022/08/05 19:32:22 - mmengine - INFO - Epoch(train) [215][20/314] lr: 5.7094e-03 eta: 0:45:47 time: 0.4581 data_time: 0.1709 memory: 9706 grad_norm: 1.1486 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0564 loss: 0.0564 2022/08/05 19:32:29 - mmengine - INFO - Epoch(train) [215][40/314] lr: 5.6817e-03 eta: 0:45:40 time: 0.3402 data_time: 0.0438 memory: 9706 grad_norm: 1.2023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0540 loss: 0.0540 2022/08/05 19:32:35 - mmengine - INFO - Epoch(train) [215][60/314] lr: 5.6540e-03 eta: 0:45:34 time: 0.3477 data_time: 0.0423 memory: 9706 grad_norm: 1.3748 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0574 loss: 0.0574 2022/08/05 19:32:42 - mmengine - INFO - Epoch(train) [215][80/314] lr: 5.6264e-03 eta: 0:45:27 time: 0.3480 data_time: 0.0436 memory: 9706 grad_norm: 1.2024 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0449 loss: 0.0449 2022/08/05 19:32:49 - mmengine - INFO - Epoch(train) [215][100/314] lr: 5.5989e-03 eta: 0:45:20 time: 0.3409 data_time: 0.0419 memory: 9706 grad_norm: 1.2870 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0639 loss: 0.0639 2022/08/05 19:32:56 - mmengine - INFO - Epoch(train) [215][120/314] lr: 5.5714e-03 eta: 0:45:13 time: 0.3430 data_time: 0.0460 memory: 9706 grad_norm: 1.1930 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0536 loss: 0.0536 2022/08/05 19:33:03 - mmengine - INFO - Epoch(train) [215][140/314] lr: 5.5440e-03 eta: 0:45:07 time: 0.3444 data_time: 0.0392 memory: 9706 grad_norm: 1.1617 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0273 loss: 0.0273 2022/08/05 19:33:10 - mmengine - INFO - Epoch(train) [215][160/314] lr: 5.5167e-03 eta: 0:45:00 time: 0.3477 data_time: 0.0533 memory: 9706 grad_norm: 1.1367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0551 loss: 0.0551 2022/08/05 19:33:17 - mmengine - INFO - Epoch(train) [215][180/314] lr: 5.4894e-03 eta: 0:44:53 time: 0.3471 data_time: 0.0411 memory: 9706 grad_norm: 1.1639 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0341 loss: 0.0341 2022/08/05 19:33:24 - mmengine - INFO - Epoch(train) [215][200/314] lr: 5.4622e-03 eta: 0:44:46 time: 0.3483 data_time: 0.0464 memory: 9706 grad_norm: 1.2416 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0467 loss: 0.0467 2022/08/05 19:33:31 - mmengine - INFO - Epoch(train) [215][220/314] lr: 5.4350e-03 eta: 0:44:40 time: 0.3446 data_time: 0.0460 memory: 9706 grad_norm: 1.2907 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0522 loss: 0.0522 2022/08/05 19:33:38 - mmengine - INFO - Epoch(train) [215][240/314] lr: 5.4080e-03 eta: 0:44:33 time: 0.3446 data_time: 0.0457 memory: 9706 grad_norm: 1.2354 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0525 loss: 0.0525 2022/08/05 19:33:45 - mmengine - INFO - Epoch(train) [215][260/314] lr: 5.3809e-03 eta: 0:44:26 time: 0.3517 data_time: 0.0577 memory: 9706 grad_norm: 1.4107 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0322 loss: 0.0322 2022/08/05 19:33:52 - mmengine - INFO - Epoch(train) [215][280/314] lr: 5.3540e-03 eta: 0:44:20 time: 0.3480 data_time: 0.0543 memory: 9706 grad_norm: 1.3171 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0622 loss: 0.0622 2022/08/05 19:33:59 - mmengine - INFO - Epoch(train) [215][300/314] lr: 5.3271e-03 eta: 0:44:13 time: 0.3508 data_time: 0.0464 memory: 9706 grad_norm: 1.2790 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0361 loss: 0.0361 2022/08/05 19:34:03 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:34:03 - mmengine - INFO - Epoch(train) [215][314/314] lr: 5.3083e-03 eta: 0:44:13 time: 0.2919 data_time: 0.0372 memory: 9706 grad_norm: 1.3471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0644 loss: 0.0644 2022/08/05 19:34:03 - mmengine - INFO - Saving checkpoint at 215 epochs 2022/08/05 19:34:15 - mmengine - INFO - Epoch(train) [216][20/314] lr: 5.2816e-03 eta: 0:44:01 time: 0.4745 data_time: 0.1881 memory: 9706 grad_norm: 1.3116 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0468 loss: 0.0468 2022/08/05 19:34:22 - mmengine - INFO - Epoch(train) [216][40/314] lr: 5.2549e-03 eta: 0:43:54 time: 0.3417 data_time: 0.0478 memory: 9706 grad_norm: 1.2015 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0313 loss: 0.0313 2022/08/05 19:34:29 - mmengine - INFO - Epoch(train) [216][60/314] lr: 5.2282e-03 eta: 0:43:48 time: 0.3406 data_time: 0.0452 memory: 9706 grad_norm: 1.2343 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0282 loss: 0.0282 2022/08/05 19:34:35 - mmengine - INFO - Epoch(train) [216][80/314] lr: 5.2016e-03 eta: 0:43:41 time: 0.3431 data_time: 0.0488 memory: 9706 grad_norm: 1.2604 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0258 loss: 0.0258 2022/08/05 19:34:42 - mmengine - INFO - Epoch(train) [216][100/314] lr: 5.1751e-03 eta: 0:43:34 time: 0.3462 data_time: 0.0589 memory: 9706 grad_norm: 1.3660 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0725 loss: 0.0725 2022/08/05 19:34:49 - mmengine - INFO - Epoch(train) [216][120/314] lr: 5.1487e-03 eta: 0:43:27 time: 0.3375 data_time: 0.0483 memory: 9706 grad_norm: 1.1559 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0414 loss: 0.0414 2022/08/05 19:34:56 - mmengine - INFO - Epoch(train) [216][140/314] lr: 5.1223e-03 eta: 0:43:21 time: 0.3528 data_time: 0.0416 memory: 9706 grad_norm: 1.0691 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0386 loss: 0.0386 2022/08/05 19:35:03 - mmengine - INFO - Epoch(train) [216][160/314] lr: 5.0960e-03 eta: 0:43:14 time: 0.3376 data_time: 0.0435 memory: 9706 grad_norm: 1.0049 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0275 loss: 0.0275 2022/08/05 19:35:10 - mmengine - INFO - Epoch(train) [216][180/314] lr: 5.0698e-03 eta: 0:43:07 time: 0.3483 data_time: 0.0493 memory: 9706 grad_norm: 1.3059 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0397 loss: 0.0397 2022/08/05 19:35:17 - mmengine - INFO - Epoch(train) [216][200/314] lr: 5.0436e-03 eta: 0:43:01 time: 0.3425 data_time: 0.0469 memory: 9706 grad_norm: 1.1457 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0253 loss: 0.0253 2022/08/05 19:35:24 - mmengine - INFO - Epoch(train) [216][220/314] lr: 5.0175e-03 eta: 0:42:54 time: 0.3549 data_time: 0.0462 memory: 9706 grad_norm: 1.3139 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0556 loss: 0.0556 2022/08/05 19:35:31 - mmengine - INFO - Epoch(train) [216][240/314] lr: 4.9914e-03 eta: 0:42:47 time: 0.3468 data_time: 0.0421 memory: 9706 grad_norm: 0.9975 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0342 loss: 0.0342 2022/08/05 19:35:38 - mmengine - INFO - Epoch(train) [216][260/314] lr: 4.9655e-03 eta: 0:42:40 time: 0.3493 data_time: 0.0552 memory: 9706 grad_norm: 1.0568 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0293 loss: 0.0293 2022/08/05 19:35:45 - mmengine - INFO - Epoch(train) [216][280/314] lr: 4.9395e-03 eta: 0:42:34 time: 0.3381 data_time: 0.0446 memory: 9706 grad_norm: 1.0048 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0369 loss: 0.0369 2022/08/05 19:35:51 - mmengine - INFO - Epoch(train) [216][300/314] lr: 4.9137e-03 eta: 0:42:27 time: 0.3395 data_time: 0.0419 memory: 9706 grad_norm: 1.1242 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0412 loss: 0.0412 2022/08/05 19:35:55 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:35:55 - mmengine - INFO - Epoch(train) [216][314/314] lr: 4.8956e-03 eta: 0:42:27 time: 0.2980 data_time: 0.0385 memory: 9706 grad_norm: 1.3319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0341 loss: 0.0341 2022/08/05 19:35:55 - mmengine - INFO - Saving checkpoint at 216 epochs 2022/08/05 19:36:08 - mmengine - INFO - Epoch(train) [217][20/314] lr: 4.8699e-03 eta: 0:42:15 time: 0.4653 data_time: 0.1881 memory: 9706 grad_norm: 1.4210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0514 loss: 0.0514 2022/08/05 19:36:14 - mmengine - INFO - Epoch(train) [217][40/314] lr: 4.8442e-03 eta: 0:42:08 time: 0.3350 data_time: 0.0445 memory: 9706 grad_norm: 1.0703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0287 loss: 0.0287 2022/08/05 19:36:21 - mmengine - INFO - Epoch(train) [217][60/314] lr: 4.8186e-03 eta: 0:42:02 time: 0.3564 data_time: 0.0407 memory: 9706 grad_norm: 1.1444 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0164 loss: 0.0164 2022/08/05 19:36:28 - mmengine - INFO - Epoch(train) [217][80/314] lr: 4.7931e-03 eta: 0:41:55 time: 0.3459 data_time: 0.0463 memory: 9706 grad_norm: 1.1208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0500 loss: 0.0500 2022/08/05 19:36:35 - mmengine - INFO - Epoch(train) [217][100/314] lr: 4.7676e-03 eta: 0:41:48 time: 0.3508 data_time: 0.0415 memory: 9706 grad_norm: 1.0741 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0472 loss: 0.0472 2022/08/05 19:36:42 - mmengine - INFO - Epoch(train) [217][120/314] lr: 4.7422e-03 eta: 0:41:42 time: 0.3391 data_time: 0.0428 memory: 9706 grad_norm: 1.0342 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0330 loss: 0.0330 2022/08/05 19:36:49 - mmengine - INFO - Epoch(train) [217][140/314] lr: 4.7169e-03 eta: 0:41:35 time: 0.3409 data_time: 0.0419 memory: 9706 grad_norm: 1.1109 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0318 loss: 0.0318 2022/08/05 19:36:56 - mmengine - INFO - Epoch(train) [217][160/314] lr: 4.6916e-03 eta: 0:41:28 time: 0.3565 data_time: 0.0493 memory: 9706 grad_norm: 1.2166 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0408 loss: 0.0408 2022/08/05 19:37:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:37:03 - mmengine - INFO - Epoch(train) [217][180/314] lr: 4.6664e-03 eta: 0:41:21 time: 0.3430 data_time: 0.0509 memory: 9706 grad_norm: 1.0785 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0535 loss: 0.0535 2022/08/05 19:37:10 - mmengine - INFO - Epoch(train) [217][200/314] lr: 4.6413e-03 eta: 0:41:15 time: 0.3373 data_time: 0.0445 memory: 9706 grad_norm: 1.1780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0508 loss: 0.0508 2022/08/05 19:37:17 - mmengine - INFO - Epoch(train) [217][220/314] lr: 4.6162e-03 eta: 0:41:08 time: 0.3506 data_time: 0.0460 memory: 9706 grad_norm: 1.1959 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0481 loss: 0.0481 2022/08/05 19:37:24 - mmengine - INFO - Epoch(train) [217][240/314] lr: 4.5912e-03 eta: 0:41:01 time: 0.3506 data_time: 0.0440 memory: 9706 grad_norm: 1.1604 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0329 loss: 0.0329 2022/08/05 19:37:31 - mmengine - INFO - Epoch(train) [217][260/314] lr: 4.5662e-03 eta: 0:40:54 time: 0.3411 data_time: 0.0422 memory: 9706 grad_norm: 0.9911 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0274 loss: 0.0274 2022/08/05 19:37:37 - mmengine - INFO - Epoch(train) [217][280/314] lr: 4.5414e-03 eta: 0:40:48 time: 0.3477 data_time: 0.0472 memory: 9706 grad_norm: 1.2904 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0308 loss: 0.0308 2022/08/05 19:37:44 - mmengine - INFO - Epoch(train) [217][300/314] lr: 4.5166e-03 eta: 0:40:41 time: 0.3450 data_time: 0.0449 memory: 9706 grad_norm: 1.1824 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0331 loss: 0.0331 2022/08/05 19:37:48 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:37:48 - mmengine - INFO - Epoch(train) [217][314/314] lr: 4.4992e-03 eta: 0:40:41 time: 0.2912 data_time: 0.0423 memory: 9706 grad_norm: 1.1477 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0531 loss: 0.0531 2022/08/05 19:37:48 - mmengine - INFO - Saving checkpoint at 217 epochs 2022/08/05 19:38:00 - mmengine - INFO - Epoch(train) [218][20/314] lr: 4.4745e-03 eta: 0:40:29 time: 0.4692 data_time: 0.1866 memory: 9706 grad_norm: 1.4018 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0493 loss: 0.0493 2022/08/05 19:38:07 - mmengine - INFO - Epoch(train) [218][40/314] lr: 4.4499e-03 eta: 0:40:23 time: 0.3415 data_time: 0.0439 memory: 9706 grad_norm: 1.1372 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0446 loss: 0.0446 2022/08/05 19:38:14 - mmengine - INFO - Epoch(train) [218][60/314] lr: 4.4254e-03 eta: 0:40:16 time: 0.3464 data_time: 0.0458 memory: 9706 grad_norm: 1.2395 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0409 loss: 0.0409 2022/08/05 19:38:21 - mmengine - INFO - Epoch(train) [218][80/314] lr: 4.4009e-03 eta: 0:40:09 time: 0.3412 data_time: 0.0508 memory: 9706 grad_norm: 1.1724 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0301 loss: 0.0301 2022/08/05 19:38:28 - mmengine - INFO - Epoch(train) [218][100/314] lr: 4.3764e-03 eta: 0:40:02 time: 0.3563 data_time: 0.0435 memory: 9706 grad_norm: 1.2442 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0410 loss: 0.0410 2022/08/05 19:38:35 - mmengine - INFO - Epoch(train) [218][120/314] lr: 4.3521e-03 eta: 0:39:56 time: 0.3411 data_time: 0.0452 memory: 9706 grad_norm: 1.1025 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0382 loss: 0.0382 2022/08/05 19:38:42 - mmengine - INFO - Epoch(train) [218][140/314] lr: 4.3278e-03 eta: 0:39:49 time: 0.3477 data_time: 0.0611 memory: 9706 grad_norm: 1.1493 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0280 loss: 0.0280 2022/08/05 19:38:49 - mmengine - INFO - Epoch(train) [218][160/314] lr: 4.3035e-03 eta: 0:39:42 time: 0.3465 data_time: 0.0475 memory: 9706 grad_norm: 1.0981 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0219 loss: 0.0219 2022/08/05 19:38:56 - mmengine - INFO - Epoch(train) [218][180/314] lr: 4.2794e-03 eta: 0:39:35 time: 0.3541 data_time: 0.0445 memory: 9706 grad_norm: 1.2522 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0278 loss: 0.0278 2022/08/05 19:39:03 - mmengine - INFO - Epoch(train) [218][200/314] lr: 4.2553e-03 eta: 0:39:29 time: 0.3431 data_time: 0.0430 memory: 9706 grad_norm: 1.1321 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0623 loss: 0.0623 2022/08/05 19:39:10 - mmengine - INFO - Epoch(train) [218][220/314] lr: 4.2313e-03 eta: 0:39:22 time: 0.3463 data_time: 0.0427 memory: 9706 grad_norm: 0.9363 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0255 loss: 0.0255 2022/08/05 19:39:17 - mmengine - INFO - Epoch(train) [218][240/314] lr: 4.2073e-03 eta: 0:39:15 time: 0.3462 data_time: 0.0544 memory: 9706 grad_norm: 1.0036 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0322 loss: 0.0322 2022/08/05 19:39:24 - mmengine - INFO - Epoch(train) [218][260/314] lr: 4.1834e-03 eta: 0:39:09 time: 0.3481 data_time: 0.0386 memory: 9706 grad_norm: 1.1972 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0318 loss: 0.0318 2022/08/05 19:39:30 - mmengine - INFO - Epoch(train) [218][280/314] lr: 4.1596e-03 eta: 0:39:02 time: 0.3460 data_time: 0.0489 memory: 9706 grad_norm: 1.1020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0455 loss: 0.0455 2022/08/05 19:39:38 - mmengine - INFO - Epoch(train) [218][300/314] lr: 4.1358e-03 eta: 0:38:55 time: 0.3589 data_time: 0.0516 memory: 9706 grad_norm: 1.1980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0230 loss: 0.0230 2022/08/05 19:39:42 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:39:42 - mmengine - INFO - Epoch(train) [218][314/314] lr: 4.1192e-03 eta: 0:38:55 time: 0.2827 data_time: 0.0346 memory: 9706 grad_norm: 1.1728 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0410 loss: 0.0410 2022/08/05 19:39:42 - mmengine - INFO - Saving checkpoint at 218 epochs 2022/08/05 19:39:54 - mmengine - INFO - Epoch(train) [219][20/314] lr: 4.0956e-03 eta: 0:38:43 time: 0.4634 data_time: 0.1754 memory: 9706 grad_norm: 0.9755 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0349 loss: 0.0349 2022/08/05 19:40:01 - mmengine - INFO - Epoch(train) [219][40/314] lr: 4.0720e-03 eta: 0:38:37 time: 0.3405 data_time: 0.0416 memory: 9706 grad_norm: 1.4539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0511 loss: 0.0511 2022/08/05 19:40:07 - mmengine - INFO - Epoch(train) [219][60/314] lr: 4.0485e-03 eta: 0:38:30 time: 0.3431 data_time: 0.0516 memory: 9706 grad_norm: 1.0833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0585 loss: 0.0585 2022/08/05 19:40:14 - mmengine - INFO - Epoch(train) [219][80/314] lr: 4.0250e-03 eta: 0:38:23 time: 0.3433 data_time: 0.0502 memory: 9706 grad_norm: 0.9345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0214 loss: 0.0214 2022/08/05 19:40:21 - mmengine - INFO - Epoch(train) [219][100/314] lr: 4.0016e-03 eta: 0:38:16 time: 0.3463 data_time: 0.0422 memory: 9706 grad_norm: 1.1983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0209 loss: 0.0209 2022/08/05 19:40:28 - mmengine - INFO - Epoch(train) [219][120/314] lr: 3.9783e-03 eta: 0:38:10 time: 0.3440 data_time: 0.0459 memory: 9706 grad_norm: 1.1697 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0381 loss: 0.0381 2022/08/05 19:40:35 - mmengine - INFO - Epoch(train) [219][140/314] lr: 3.9551e-03 eta: 0:38:03 time: 0.3418 data_time: 0.0391 memory: 9706 grad_norm: 0.9530 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0342 loss: 0.0342 2022/08/05 19:40:42 - mmengine - INFO - Epoch(train) [219][160/314] lr: 3.9319e-03 eta: 0:37:56 time: 0.3559 data_time: 0.0486 memory: 9706 grad_norm: 1.1224 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0309 loss: 0.0309 2022/08/05 19:40:49 - mmengine - INFO - Epoch(train) [219][180/314] lr: 3.9088e-03 eta: 0:37:50 time: 0.3470 data_time: 0.0521 memory: 9706 grad_norm: 0.9396 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0371 loss: 0.0371 2022/08/05 19:40:56 - mmengine - INFO - Epoch(train) [219][200/314] lr: 3.8857e-03 eta: 0:37:43 time: 0.3625 data_time: 0.0439 memory: 9706 grad_norm: 0.9595 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0288 loss: 0.0288 2022/08/05 19:41:03 - mmengine - INFO - Epoch(train) [219][220/314] lr: 3.8627e-03 eta: 0:37:36 time: 0.3344 data_time: 0.0475 memory: 9706 grad_norm: 1.2146 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0348 loss: 0.0348 2022/08/05 19:41:10 - mmengine - INFO - Epoch(train) [219][240/314] lr: 3.8398e-03 eta: 0:37:29 time: 0.3456 data_time: 0.0448 memory: 9706 grad_norm: 1.0486 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0346 loss: 0.0346 2022/08/05 19:41:17 - mmengine - INFO - Epoch(train) [219][260/314] lr: 3.8170e-03 eta: 0:37:23 time: 0.3583 data_time: 0.0424 memory: 9706 grad_norm: 1.1892 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0215 loss: 0.0215 2022/08/05 19:41:24 - mmengine - INFO - Epoch(train) [219][280/314] lr: 3.7942e-03 eta: 0:37:16 time: 0.3437 data_time: 0.0432 memory: 9706 grad_norm: 1.1452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0569 loss: 0.0569 2022/08/05 19:41:31 - mmengine - INFO - Epoch(train) [219][300/314] lr: 3.7715e-03 eta: 0:37:09 time: 0.3396 data_time: 0.0447 memory: 9706 grad_norm: 1.0020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0411 loss: 0.0411 2022/08/05 19:41:35 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:41:35 - mmengine - INFO - Epoch(train) [219][314/314] lr: 3.7556e-03 eta: 0:37:09 time: 0.2894 data_time: 0.0418 memory: 9706 grad_norm: 1.2053 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0611 loss: 0.0611 2022/08/05 19:41:35 - mmengine - INFO - Saving checkpoint at 219 epochs 2022/08/05 19:41:46 - mmengine - INFO - Epoch(train) [220][20/314] lr: 3.7330e-03 eta: 0:36:57 time: 0.4477 data_time: 0.1539 memory: 9706 grad_norm: 1.2537 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0304 loss: 0.0304 2022/08/05 19:41:53 - mmengine - INFO - Epoch(train) [220][40/314] lr: 3.7105e-03 eta: 0:36:51 time: 0.3435 data_time: 0.0429 memory: 9706 grad_norm: 1.1164 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0470 loss: 0.0470 2022/08/05 19:42:00 - mmengine - INFO - Epoch(train) [220][60/314] lr: 3.6880e-03 eta: 0:36:44 time: 0.3544 data_time: 0.0419 memory: 9706 grad_norm: 1.0560 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0346 loss: 0.0346 2022/08/05 19:42:07 - mmengine - INFO - Epoch(train) [220][80/314] lr: 3.6656e-03 eta: 0:36:37 time: 0.3405 data_time: 0.0451 memory: 9706 grad_norm: 1.1007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0277 loss: 0.0277 2022/08/05 19:42:14 - mmengine - INFO - Epoch(train) [220][100/314] lr: 3.6433e-03 eta: 0:36:31 time: 0.3503 data_time: 0.0450 memory: 9706 grad_norm: 1.0649 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0332 loss: 0.0332 2022/08/05 19:42:21 - mmengine - INFO - Epoch(train) [220][120/314] lr: 3.6210e-03 eta: 0:36:24 time: 0.3517 data_time: 0.0588 memory: 9706 grad_norm: 0.8400 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0336 loss: 0.0336 2022/08/05 19:42:28 - mmengine - INFO - Epoch(train) [220][140/314] lr: 3.5988e-03 eta: 0:36:17 time: 0.3412 data_time: 0.0470 memory: 9706 grad_norm: 1.0668 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0399 loss: 0.0399 2022/08/05 19:42:35 - mmengine - INFO - Epoch(train) [220][160/314] lr: 3.5767e-03 eta: 0:36:10 time: 0.3449 data_time: 0.0498 memory: 9706 grad_norm: 0.9707 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0240 loss: 0.0240 2022/08/05 19:42:42 - mmengine - INFO - Epoch(train) [220][180/314] lr: 3.5546e-03 eta: 0:36:04 time: 0.3514 data_time: 0.0426 memory: 9706 grad_norm: 1.2274 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0409 loss: 0.0409 2022/08/05 19:42:49 - mmengine - INFO - Epoch(train) [220][200/314] lr: 3.5326e-03 eta: 0:35:57 time: 0.3407 data_time: 0.0435 memory: 9706 grad_norm: 1.0208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0392 loss: 0.0392 2022/08/05 19:42:56 - mmengine - INFO - Epoch(train) [220][220/314] lr: 3.5107e-03 eta: 0:35:50 time: 0.3551 data_time: 0.0485 memory: 9706 grad_norm: 1.2009 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0486 loss: 0.0486 2022/08/05 19:43:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:43:03 - mmengine - INFO - Epoch(train) [220][240/314] lr: 3.4888e-03 eta: 0:35:43 time: 0.3411 data_time: 0.0515 memory: 9706 grad_norm: 1.0899 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0401 loss: 0.0401 2022/08/05 19:43:10 - mmengine - INFO - Epoch(train) [220][260/314] lr: 3.4670e-03 eta: 0:35:37 time: 0.3417 data_time: 0.0563 memory: 9706 grad_norm: 1.0553 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0383 loss: 0.0383 2022/08/05 19:43:17 - mmengine - INFO - Epoch(train) [220][280/314] lr: 3.4453e-03 eta: 0:35:30 time: 0.3497 data_time: 0.0441 memory: 9706 grad_norm: 0.8570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0204 loss: 0.0204 2022/08/05 19:43:23 - mmengine - INFO - Epoch(train) [220][300/314] lr: 3.4236e-03 eta: 0:35:23 time: 0.3402 data_time: 0.0450 memory: 9706 grad_norm: 1.2289 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0356 loss: 0.0356 2022/08/05 19:43:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:43:27 - mmengine - INFO - Epoch(train) [220][314/314] lr: 3.4085e-03 eta: 0:35:23 time: 0.2902 data_time: 0.0402 memory: 9706 grad_norm: 1.3038 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0367 loss: 0.0367 2022/08/05 19:43:27 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/05 19:43:39 - mmengine - INFO - Epoch(val) [220][20/129] eta: 0:00:50 time: 0.4648 data_time: 0.2889 memory: 1867 2022/08/05 19:43:46 - mmengine - INFO - Epoch(val) [220][40/129] eta: 0:00:28 time: 0.3149 data_time: 0.1381 memory: 1867 2022/08/05 19:43:53 - mmengine - INFO - Epoch(val) [220][60/129] eta: 0:00:24 time: 0.3598 data_time: 0.1858 memory: 1867 2022/08/05 19:43:59 - mmengine - INFO - Epoch(val) [220][80/129] eta: 0:00:15 time: 0.3140 data_time: 0.1270 memory: 1867 2022/08/05 19:44:07 - mmengine - INFO - Epoch(val) [220][100/129] eta: 0:00:10 time: 0.3664 data_time: 0.1766 memory: 1867 2022/08/05 19:44:12 - mmengine - INFO - Epoch(val) [220][120/129] eta: 0:00:02 time: 0.2548 data_time: 0.0983 memory: 1867 2022/08/05 19:44:13 - mmengine - INFO - Epoch(val) [220][129/129] acc/top1: 0.9275 acc/top5: 0.9939 acc/mean1: 0.9274 2022/08/05 19:44:14 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_211.pth is removed 2022/08/05 19:44:16 - mmengine - INFO - The best checkpoint with 0.9275 acc/top1 at 221 epoch is saved to best_acc/top1_epoch_221.pth. 2022/08/05 19:44:25 - mmengine - INFO - Epoch(train) [221][20/314] lr: 3.3869e-03 eta: 0:35:12 time: 0.4670 data_time: 0.1919 memory: 9706 grad_norm: 1.1777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0266 loss: 0.0266 2022/08/05 19:44:32 - mmengine - INFO - Epoch(train) [221][40/314] lr: 3.3655e-03 eta: 0:35:05 time: 0.3369 data_time: 0.0428 memory: 9706 grad_norm: 1.1861 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0341 loss: 0.0341 2022/08/05 19:44:39 - mmengine - INFO - Epoch(train) [221][60/314] lr: 3.3441e-03 eta: 0:34:58 time: 0.3487 data_time: 0.0441 memory: 9706 grad_norm: 1.0915 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0477 loss: 0.0477 2022/08/05 19:44:46 - mmengine - INFO - Epoch(train) [221][80/314] lr: 3.3227e-03 eta: 0:34:51 time: 0.3480 data_time: 0.0528 memory: 9706 grad_norm: 0.8407 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0247 loss: 0.0247 2022/08/05 19:44:53 - mmengine - INFO - Epoch(train) [221][100/314] lr: 3.3014e-03 eta: 0:34:45 time: 0.3398 data_time: 0.0418 memory: 9706 grad_norm: 1.0888 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0187 loss: 0.0187 2022/08/05 19:45:00 - mmengine - INFO - Epoch(train) [221][120/314] lr: 3.2802e-03 eta: 0:34:38 time: 0.3570 data_time: 0.0430 memory: 9706 grad_norm: 1.0673 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0260 loss: 0.0260 2022/08/05 19:45:07 - mmengine - INFO - Epoch(train) [221][140/314] lr: 3.2591e-03 eta: 0:34:31 time: 0.3495 data_time: 0.0447 memory: 9706 grad_norm: 1.1183 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0368 loss: 0.0368 2022/08/05 19:45:14 - mmengine - INFO - Epoch(train) [221][160/314] lr: 3.2380e-03 eta: 0:34:24 time: 0.3410 data_time: 0.0430 memory: 9706 grad_norm: 1.2857 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0331 loss: 0.0331 2022/08/05 19:45:21 - mmengine - INFO - Epoch(train) [221][180/314] lr: 3.2170e-03 eta: 0:34:18 time: 0.3511 data_time: 0.0461 memory: 9706 grad_norm: 0.9212 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0285 loss: 0.0285 2022/08/05 19:45:28 - mmengine - INFO - Epoch(train) [221][200/314] lr: 3.1960e-03 eta: 0:34:11 time: 0.3405 data_time: 0.0454 memory: 9706 grad_norm: 1.2295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0478 loss: 0.0478 2022/08/05 19:45:35 - mmengine - INFO - Epoch(train) [221][220/314] lr: 3.1752e-03 eta: 0:34:04 time: 0.3412 data_time: 0.0426 memory: 9706 grad_norm: 1.1712 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0450 loss: 0.0450 2022/08/05 19:45:41 - mmengine - INFO - Epoch(train) [221][240/314] lr: 3.1543e-03 eta: 0:33:57 time: 0.3418 data_time: 0.0446 memory: 9706 grad_norm: 1.3806 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0326 loss: 0.0326 2022/08/05 19:45:48 - mmengine - INFO - Epoch(train) [221][260/314] lr: 3.1336e-03 eta: 0:33:51 time: 0.3444 data_time: 0.0418 memory: 9706 grad_norm: 0.9892 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0276 loss: 0.0276 2022/08/05 19:45:55 - mmengine - INFO - Epoch(train) [221][280/314] lr: 3.1129e-03 eta: 0:33:44 time: 0.3454 data_time: 0.0431 memory: 9706 grad_norm: 0.9855 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0190 loss: 0.0190 2022/08/05 19:46:02 - mmengine - INFO - Epoch(train) [221][300/314] lr: 3.0923e-03 eta: 0:33:37 time: 0.3482 data_time: 0.0487 memory: 9706 grad_norm: 1.1031 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0360 loss: 0.0360 2022/08/05 19:46:06 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:46:06 - mmengine - INFO - Epoch(train) [221][314/314] lr: 3.0779e-03 eta: 0:33:37 time: 0.3052 data_time: 0.0381 memory: 9706 grad_norm: 1.2536 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0454 loss: 0.0454 2022/08/05 19:46:06 - mmengine - INFO - Saving checkpoint at 221 epochs 2022/08/05 19:46:18 - mmengine - INFO - Epoch(train) [222][20/314] lr: 3.0574e-03 eta: 0:33:26 time: 0.4663 data_time: 0.1928 memory: 9706 grad_norm: 0.9491 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0258 loss: 0.0258 2022/08/05 19:46:25 - mmengine - INFO - Epoch(train) [222][40/314] lr: 3.0370e-03 eta: 0:33:19 time: 0.3413 data_time: 0.0504 memory: 9706 grad_norm: 0.9519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0236 loss: 0.0236 2022/08/05 19:46:32 - mmengine - INFO - Epoch(train) [222][60/314] lr: 3.0167e-03 eta: 0:33:12 time: 0.3541 data_time: 0.0492 memory: 9706 grad_norm: 0.8394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0535 loss: 0.0535 2022/08/05 19:46:39 - mmengine - INFO - Epoch(train) [222][80/314] lr: 2.9964e-03 eta: 0:33:05 time: 0.3401 data_time: 0.0476 memory: 9706 grad_norm: 1.0033 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0315 loss: 0.0315 2022/08/05 19:46:46 - mmengine - INFO - Epoch(train) [222][100/314] lr: 2.9761e-03 eta: 0:32:59 time: 0.3479 data_time: 0.0463 memory: 9706 grad_norm: 1.0124 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0294 loss: 0.0294 2022/08/05 19:46:53 - mmengine - INFO - Epoch(train) [222][120/314] lr: 2.9560e-03 eta: 0:32:52 time: 0.3592 data_time: 0.0453 memory: 9706 grad_norm: 0.9811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0202 loss: 0.0202 2022/08/05 19:47:00 - mmengine - INFO - Epoch(train) [222][140/314] lr: 2.9359e-03 eta: 0:32:45 time: 0.3434 data_time: 0.0517 memory: 9706 grad_norm: 1.0996 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0465 loss: 0.0465 2022/08/05 19:47:07 - mmengine - INFO - Epoch(train) [222][160/314] lr: 2.9159e-03 eta: 0:32:39 time: 0.3464 data_time: 0.0502 memory: 9706 grad_norm: 1.1505 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0366 loss: 0.0366 2022/08/05 19:47:14 - mmengine - INFO - Epoch(train) [222][180/314] lr: 2.8959e-03 eta: 0:32:32 time: 0.3393 data_time: 0.0466 memory: 9706 grad_norm: 0.8476 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0339 loss: 0.0339 2022/08/05 19:47:20 - mmengine - INFO - Epoch(train) [222][200/314] lr: 2.8760e-03 eta: 0:32:25 time: 0.3424 data_time: 0.0433 memory: 9706 grad_norm: 0.9544 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0204 loss: 0.0204 2022/08/05 19:47:27 - mmengine - INFO - Epoch(train) [222][220/314] lr: 2.8562e-03 eta: 0:32:18 time: 0.3502 data_time: 0.0426 memory: 9706 grad_norm: 0.8726 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0236 loss: 0.0236 2022/08/05 19:47:34 - mmengine - INFO - Epoch(train) [222][240/314] lr: 2.8365e-03 eta: 0:32:12 time: 0.3432 data_time: 0.0401 memory: 9706 grad_norm: 0.8632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0222 loss: 0.0222 2022/08/05 19:47:41 - mmengine - INFO - Epoch(train) [222][260/314] lr: 2.8168e-03 eta: 0:32:05 time: 0.3447 data_time: 0.0428 memory: 9706 grad_norm: 1.0355 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0365 loss: 0.0365 2022/08/05 19:47:48 - mmengine - INFO - Epoch(train) [222][280/314] lr: 2.7972e-03 eta: 0:31:58 time: 0.3612 data_time: 0.0438 memory: 9706 grad_norm: 1.1696 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0441 loss: 0.0441 2022/08/05 19:47:55 - mmengine - INFO - Epoch(train) [222][300/314] lr: 2.7776e-03 eta: 0:31:51 time: 0.3350 data_time: 0.0426 memory: 9706 grad_norm: 1.1816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0345 loss: 0.0345 2022/08/05 19:47:59 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:47:59 - mmengine - INFO - Epoch(train) [222][314/314] lr: 2.7640e-03 eta: 0:31:51 time: 0.2892 data_time: 0.0377 memory: 9706 grad_norm: 1.1593 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.0790 loss: 0.0790 2022/08/05 19:47:59 - mmengine - INFO - Saving checkpoint at 222 epochs 2022/08/05 19:48:11 - mmengine - INFO - Epoch(train) [223][20/314] lr: 2.7445e-03 eta: 0:31:40 time: 0.4561 data_time: 0.1832 memory: 9706 grad_norm: 0.8679 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0234 loss: 0.0234 2022/08/05 19:48:18 - mmengine - INFO - Epoch(train) [223][40/314] lr: 2.7252e-03 eta: 0:31:33 time: 0.3421 data_time: 0.0474 memory: 9706 grad_norm: 1.0208 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0460 loss: 0.0460 2022/08/05 19:48:25 - mmengine - INFO - Epoch(train) [223][60/314] lr: 2.7059e-03 eta: 0:31:26 time: 0.3403 data_time: 0.0418 memory: 9706 grad_norm: 0.9726 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0450 loss: 0.0450 2022/08/05 19:48:32 - mmengine - INFO - Epoch(train) [223][80/314] lr: 2.6867e-03 eta: 0:31:19 time: 0.3520 data_time: 0.0435 memory: 9706 grad_norm: 1.0819 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0312 loss: 0.0312 2022/08/05 19:48:38 - mmengine - INFO - Epoch(train) [223][100/314] lr: 2.6675e-03 eta: 0:31:13 time: 0.3402 data_time: 0.0411 memory: 9706 grad_norm: 1.1069 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0267 loss: 0.0267 2022/08/05 19:48:45 - mmengine - INFO - Epoch(train) [223][120/314] lr: 2.6484e-03 eta: 0:31:06 time: 0.3441 data_time: 0.0421 memory: 9706 grad_norm: 0.9996 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0534 loss: 0.0534 2022/08/05 19:48:52 - mmengine - INFO - Epoch(train) [223][140/314] lr: 2.6294e-03 eta: 0:30:59 time: 0.3436 data_time: 0.0431 memory: 9706 grad_norm: 0.9825 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0204 loss: 0.0204 2022/08/05 19:48:59 - mmengine - INFO - Epoch(train) [223][160/314] lr: 2.6104e-03 eta: 0:30:53 time: 0.3442 data_time: 0.0435 memory: 9706 grad_norm: 1.0205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0203 loss: 0.0203 2022/08/05 19:49:06 - mmengine - INFO - Epoch(train) [223][180/314] lr: 2.5915e-03 eta: 0:30:46 time: 0.3451 data_time: 0.0445 memory: 9706 grad_norm: 1.0272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0352 loss: 0.0352 2022/08/05 19:49:13 - mmengine - INFO - Epoch(train) [223][200/314] lr: 2.5727e-03 eta: 0:30:39 time: 0.3364 data_time: 0.0443 memory: 9706 grad_norm: 0.8719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0221 loss: 0.0221 2022/08/05 19:49:20 - mmengine - INFO - Epoch(train) [223][220/314] lr: 2.5539e-03 eta: 0:30:32 time: 0.3585 data_time: 0.0459 memory: 9706 grad_norm: 1.0297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0489 loss: 0.0489 2022/08/05 19:49:27 - mmengine - INFO - Epoch(train) [223][240/314] lr: 2.5352e-03 eta: 0:30:26 time: 0.3485 data_time: 0.0432 memory: 9706 grad_norm: 1.0131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0292 loss: 0.0292 2022/08/05 19:49:34 - mmengine - INFO - Epoch(train) [223][260/314] lr: 2.5166e-03 eta: 0:30:19 time: 0.3389 data_time: 0.0402 memory: 9706 grad_norm: 0.9934 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0321 loss: 0.0321 2022/08/05 19:49:41 - mmengine - INFO - Epoch(train) [223][280/314] lr: 2.4981e-03 eta: 0:30:12 time: 0.3483 data_time: 0.0462 memory: 9706 grad_norm: 0.8599 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0243 loss: 0.0243 2022/08/05 19:49:45 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:49:47 - mmengine - INFO - Epoch(train) [223][300/314] lr: 2.4796e-03 eta: 0:30:05 time: 0.3409 data_time: 0.0403 memory: 9706 grad_norm: 0.9064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0287 loss: 0.0287 2022/08/05 19:49:51 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:49:51 - mmengine - INFO - Epoch(train) [223][314/314] lr: 2.4667e-03 eta: 0:30:05 time: 0.2907 data_time: 0.0368 memory: 9706 grad_norm: 1.1638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.0665 loss: 0.0665 2022/08/05 19:49:51 - mmengine - INFO - Saving checkpoint at 223 epochs 2022/08/05 19:50:04 - mmengine - INFO - Epoch(train) [224][20/314] lr: 2.4483e-03 eta: 0:29:54 time: 0.4851 data_time: 0.2084 memory: 9706 grad_norm: 0.9459 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0290 loss: 0.0290 2022/08/05 19:50:11 - mmengine - INFO - Epoch(train) [224][40/314] lr: 2.4300e-03 eta: 0:29:47 time: 0.3387 data_time: 0.0444 memory: 9706 grad_norm: 0.8874 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0214 loss: 0.0214 2022/08/05 19:50:17 - mmengine - INFO - Epoch(train) [224][60/314] lr: 2.4118e-03 eta: 0:29:40 time: 0.3384 data_time: 0.0392 memory: 9706 grad_norm: 0.8640 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0244 loss: 0.0244 2022/08/05 19:50:24 - mmengine - INFO - Epoch(train) [224][80/314] lr: 2.3936e-03 eta: 0:29:34 time: 0.3455 data_time: 0.0508 memory: 9706 grad_norm: 0.9165 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0279 loss: 0.0279 2022/08/05 19:50:31 - mmengine - INFO - Epoch(train) [224][100/314] lr: 2.3755e-03 eta: 0:29:27 time: 0.3399 data_time: 0.0436 memory: 9706 grad_norm: 0.9277 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0346 loss: 0.0346 2022/08/05 19:50:38 - mmengine - INFO - Epoch(train) [224][120/314] lr: 2.3575e-03 eta: 0:29:20 time: 0.3474 data_time: 0.0443 memory: 9706 grad_norm: 1.1343 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0359 loss: 0.0359 2022/08/05 19:50:45 - mmengine - INFO - Epoch(train) [224][140/314] lr: 2.3395e-03 eta: 0:29:13 time: 0.3436 data_time: 0.0492 memory: 9706 grad_norm: 1.0928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0256 loss: 0.0256 2022/08/05 19:50:52 - mmengine - INFO - Epoch(train) [224][160/314] lr: 2.3216e-03 eta: 0:29:07 time: 0.3424 data_time: 0.0462 memory: 9706 grad_norm: 1.0612 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0317 loss: 0.0317 2022/08/05 19:50:59 - mmengine - INFO - Epoch(train) [224][180/314] lr: 2.3038e-03 eta: 0:29:00 time: 0.3461 data_time: 0.0407 memory: 9706 grad_norm: 0.9581 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0541 loss: 0.0541 2022/08/05 19:51:06 - mmengine - INFO - Epoch(train) [224][200/314] lr: 2.2860e-03 eta: 0:28:53 time: 0.3513 data_time: 0.0457 memory: 9706 grad_norm: 1.0382 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0285 loss: 0.0285 2022/08/05 19:51:13 - mmengine - INFO - Epoch(train) [224][220/314] lr: 2.2683e-03 eta: 0:28:46 time: 0.3485 data_time: 0.0423 memory: 9706 grad_norm: 1.2820 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0229 loss: 0.0229 2022/08/05 19:51:19 - mmengine - INFO - Epoch(train) [224][240/314] lr: 2.2507e-03 eta: 0:28:40 time: 0.3432 data_time: 0.0483 memory: 9706 grad_norm: 0.9245 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0242 loss: 0.0242 2022/08/05 19:51:26 - mmengine - INFO - Epoch(train) [224][260/314] lr: 2.2332e-03 eta: 0:28:33 time: 0.3459 data_time: 0.0529 memory: 9706 grad_norm: 1.0564 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0329 loss: 0.0329 2022/08/05 19:51:33 - mmengine - INFO - Epoch(train) [224][280/314] lr: 2.2157e-03 eta: 0:28:26 time: 0.3502 data_time: 0.0449 memory: 9706 grad_norm: 0.9175 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0262 loss: 0.0262 2022/08/05 19:51:40 - mmengine - INFO - Epoch(train) [224][300/314] lr: 2.1983e-03 eta: 0:28:19 time: 0.3440 data_time: 0.0429 memory: 9706 grad_norm: 1.1377 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0275 loss: 0.0275 2022/08/05 19:51:44 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:51:44 - mmengine - INFO - Epoch(train) [224][314/314] lr: 2.1861e-03 eta: 0:28:19 time: 0.2935 data_time: 0.0383 memory: 9706 grad_norm: 1.1174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0387 loss: 0.0387 2022/08/05 19:51:44 - mmengine - INFO - Saving checkpoint at 224 epochs 2022/08/05 19:51:56 - mmengine - INFO - Epoch(train) [225][20/314] lr: 2.1688e-03 eta: 0:28:08 time: 0.4539 data_time: 0.1734 memory: 9706 grad_norm: 0.9246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0159 loss: 0.0159 2022/08/05 19:52:03 - mmengine - INFO - Epoch(train) [225][40/314] lr: 2.1516e-03 eta: 0:28:01 time: 0.3437 data_time: 0.0387 memory: 9706 grad_norm: 0.9855 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0295 loss: 0.0295 2022/08/05 19:52:10 - mmengine - INFO - Epoch(train) [225][60/314] lr: 2.1344e-03 eta: 0:27:54 time: 0.3477 data_time: 0.0512 memory: 9706 grad_norm: 1.0087 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0309 loss: 0.0309 2022/08/05 19:52:17 - mmengine - INFO - Epoch(train) [225][80/314] lr: 2.1173e-03 eta: 0:27:48 time: 0.3440 data_time: 0.0458 memory: 9706 grad_norm: 1.0257 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0271 loss: 0.0271 2022/08/05 19:52:24 - mmengine - INFO - Epoch(train) [225][100/314] lr: 2.1003e-03 eta: 0:27:41 time: 0.3394 data_time: 0.0451 memory: 9706 grad_norm: 0.7880 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0178 loss: 0.0178 2022/08/05 19:52:31 - mmengine - INFO - Epoch(train) [225][120/314] lr: 2.0833e-03 eta: 0:27:34 time: 0.3419 data_time: 0.0438 memory: 9706 grad_norm: 0.9909 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0426 loss: 0.0426 2022/08/05 19:52:38 - mmengine - INFO - Epoch(train) [225][140/314] lr: 2.0664e-03 eta: 0:27:27 time: 0.3563 data_time: 0.0461 memory: 9706 grad_norm: 0.9344 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0306 loss: 0.0306 2022/08/05 19:52:45 - mmengine - INFO - Epoch(train) [225][160/314] lr: 2.0496e-03 eta: 0:27:21 time: 0.3437 data_time: 0.0533 memory: 9706 grad_norm: 0.9329 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0172 loss: 0.0172 2022/08/05 19:52:51 - mmengine - INFO - Epoch(train) [225][180/314] lr: 2.0328e-03 eta: 0:27:14 time: 0.3419 data_time: 0.0428 memory: 9706 grad_norm: 0.9209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0202 loss: 0.0202 2022/08/05 19:52:58 - mmengine - INFO - Epoch(train) [225][200/314] lr: 2.0161e-03 eta: 0:27:07 time: 0.3475 data_time: 0.0521 memory: 9706 grad_norm: 0.9941 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0205 loss: 0.0205 2022/08/05 19:53:05 - mmengine - INFO - Epoch(train) [225][220/314] lr: 1.9995e-03 eta: 0:27:00 time: 0.3426 data_time: 0.0540 memory: 9706 grad_norm: 1.1240 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0324 loss: 0.0324 2022/08/05 19:53:12 - mmengine - INFO - Epoch(train) [225][240/314] lr: 1.9829e-03 eta: 0:26:54 time: 0.3437 data_time: 0.0450 memory: 9706 grad_norm: 0.8992 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0330 loss: 0.0330 2022/08/05 19:53:19 - mmengine - INFO - Epoch(train) [225][260/314] lr: 1.9665e-03 eta: 0:26:47 time: 0.3585 data_time: 0.0402 memory: 9706 grad_norm: 1.0458 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0180 loss: 0.0180 2022/08/05 19:53:26 - mmengine - INFO - Epoch(train) [225][280/314] lr: 1.9500e-03 eta: 0:26:40 time: 0.3495 data_time: 0.0462 memory: 9706 grad_norm: 1.0339 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0383 loss: 0.0383 2022/08/05 19:53:33 - mmengine - INFO - Epoch(train) [225][300/314] lr: 1.9337e-03 eta: 0:26:33 time: 0.3420 data_time: 0.0607 memory: 9706 grad_norm: 0.9246 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0267 loss: 0.0267 2022/08/05 19:53:37 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:53:37 - mmengine - INFO - Epoch(train) [225][314/314] lr: 1.9223e-03 eta: 0:26:33 time: 0.2995 data_time: 0.0393 memory: 9706 grad_norm: 0.9259 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0190 loss: 0.0190 2022/08/05 19:53:37 - mmengine - INFO - Saving checkpoint at 225 epochs 2022/08/05 19:53:49 - mmengine - INFO - Epoch(train) [226][20/314] lr: 1.9061e-03 eta: 0:26:22 time: 0.4727 data_time: 0.1867 memory: 9706 grad_norm: 1.1213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0254 loss: 0.0254 2022/08/05 19:53:56 - mmengine - INFO - Epoch(train) [226][40/314] lr: 1.8899e-03 eta: 0:26:15 time: 0.3424 data_time: 0.0554 memory: 9706 grad_norm: 1.0991 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0351 loss: 0.0351 2022/08/05 19:54:03 - mmengine - INFO - Epoch(train) [226][60/314] lr: 1.8738e-03 eta: 0:26:08 time: 0.3441 data_time: 0.0405 memory: 9706 grad_norm: 1.0023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0469 loss: 0.0469 2022/08/05 19:54:10 - mmengine - INFO - Epoch(train) [226][80/314] lr: 1.8578e-03 eta: 0:26:02 time: 0.3531 data_time: 0.0450 memory: 9706 grad_norm: 0.8622 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0160 loss: 0.0160 2022/08/05 19:54:17 - mmengine - INFO - Epoch(train) [226][100/314] lr: 1.8418e-03 eta: 0:25:55 time: 0.3510 data_time: 0.0445 memory: 9706 grad_norm: 1.0331 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0466 loss: 0.0466 2022/08/05 19:54:24 - mmengine - INFO - Epoch(train) [226][120/314] lr: 1.8259e-03 eta: 0:25:48 time: 0.3399 data_time: 0.0569 memory: 9706 grad_norm: 1.0278 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0391 loss: 0.0391 2022/08/05 19:54:31 - mmengine - INFO - Epoch(train) [226][140/314] lr: 1.8101e-03 eta: 0:25:41 time: 0.3378 data_time: 0.0431 memory: 9706 grad_norm: 1.0937 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0250 loss: 0.0250 2022/08/05 19:54:38 - mmengine - INFO - Epoch(train) [226][160/314] lr: 1.7943e-03 eta: 0:25:35 time: 0.3619 data_time: 0.0533 memory: 9706 grad_norm: 1.0424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0318 loss: 0.0318 2022/08/05 19:54:45 - mmengine - INFO - Epoch(train) [226][180/314] lr: 1.7786e-03 eta: 0:25:28 time: 0.3456 data_time: 0.0543 memory: 9706 grad_norm: 0.9825 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0374 loss: 0.0374 2022/08/05 19:54:51 - mmengine - INFO - Epoch(train) [226][200/314] lr: 1.7630e-03 eta: 0:25:21 time: 0.3407 data_time: 0.0436 memory: 9706 grad_norm: 0.9574 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0240 loss: 0.0240 2022/08/05 19:54:59 - mmengine - INFO - Epoch(train) [226][220/314] lr: 1.7475e-03 eta: 0:25:15 time: 0.3507 data_time: 0.0477 memory: 9706 grad_norm: 0.8804 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0582 loss: 0.0582 2022/08/05 19:55:05 - mmengine - INFO - Epoch(train) [226][240/314] lr: 1.7320e-03 eta: 0:25:08 time: 0.3423 data_time: 0.0507 memory: 9706 grad_norm: 0.8622 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0320 loss: 0.0320 2022/08/05 19:55:12 - mmengine - INFO - Epoch(train) [226][260/314] lr: 1.7166e-03 eta: 0:25:01 time: 0.3458 data_time: 0.0440 memory: 9706 grad_norm: 1.0596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0176 loss: 0.0176 2022/08/05 19:55:19 - mmengine - INFO - Epoch(train) [226][280/314] lr: 1.7012e-03 eta: 0:24:54 time: 0.3520 data_time: 0.0469 memory: 9706 grad_norm: 1.0751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0449 loss: 0.0449 2022/08/05 19:55:26 - mmengine - INFO - Epoch(train) [226][300/314] lr: 1.6859e-03 eta: 0:24:48 time: 0.3376 data_time: 0.0492 memory: 9706 grad_norm: 1.2385 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0278 loss: 0.0278 2022/08/05 19:55:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:55:30 - mmengine - INFO - Epoch(train) [226][314/314] lr: 1.6753e-03 eta: 0:24:48 time: 0.2918 data_time: 0.0411 memory: 9706 grad_norm: 1.1059 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0225 loss: 0.0225 2022/08/05 19:55:30 - mmengine - INFO - Saving checkpoint at 226 epochs 2022/08/05 19:55:42 - mmengine - INFO - Epoch(train) [227][20/314] lr: 1.6601e-03 eta: 0:24:36 time: 0.4570 data_time: 0.1791 memory: 9706 grad_norm: 1.0680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0285 loss: 0.0285 2022/08/05 19:55:47 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:55:49 - mmengine - INFO - Epoch(train) [227][40/314] lr: 1.6450e-03 eta: 0:24:29 time: 0.3490 data_time: 0.0526 memory: 9706 grad_norm: 0.9369 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0332 loss: 0.0332 2022/08/05 19:55:55 - mmengine - INFO - Epoch(train) [227][60/314] lr: 1.6300e-03 eta: 0:24:22 time: 0.3404 data_time: 0.0445 memory: 9706 grad_norm: 1.1796 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0297 loss: 0.0297 2022/08/05 19:56:03 - mmengine - INFO - Epoch(train) [227][80/314] lr: 1.6150e-03 eta: 0:24:16 time: 0.3518 data_time: 0.0442 memory: 9706 grad_norm: 0.9209 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0211 loss: 0.0211 2022/08/05 19:56:09 - mmengine - INFO - Epoch(train) [227][100/314] lr: 1.6001e-03 eta: 0:24:09 time: 0.3465 data_time: 0.0491 memory: 9706 grad_norm: 0.9231 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0217 loss: 0.0217 2022/08/05 19:56:16 - mmengine - INFO - Epoch(train) [227][120/314] lr: 1.5853e-03 eta: 0:24:02 time: 0.3404 data_time: 0.0439 memory: 9706 grad_norm: 1.1467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0402 loss: 0.0402 2022/08/05 19:56:23 - mmengine - INFO - Epoch(train) [227][140/314] lr: 1.5706e-03 eta: 0:23:56 time: 0.3440 data_time: 0.0420 memory: 9706 grad_norm: 0.9813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0208 loss: 0.0208 2022/08/05 19:56:30 - mmengine - INFO - Epoch(train) [227][160/314] lr: 1.5559e-03 eta: 0:23:49 time: 0.3486 data_time: 0.0420 memory: 9706 grad_norm: 0.9533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0210 loss: 0.0210 2022/08/05 19:56:37 - mmengine - INFO - Epoch(train) [227][180/314] lr: 1.5413e-03 eta: 0:23:42 time: 0.3533 data_time: 0.0419 memory: 9706 grad_norm: 1.0848 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0430 loss: 0.0430 2022/08/05 19:56:44 - mmengine - INFO - Epoch(train) [227][200/314] lr: 1.5267e-03 eta: 0:23:35 time: 0.3481 data_time: 0.0394 memory: 9706 grad_norm: 0.9422 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0197 loss: 0.0197 2022/08/05 19:56:51 - mmengine - INFO - Epoch(train) [227][220/314] lr: 1.5122e-03 eta: 0:23:29 time: 0.3560 data_time: 0.0416 memory: 9706 grad_norm: 0.9090 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0199 loss: 0.0199 2022/08/05 19:56:58 - mmengine - INFO - Epoch(train) [227][240/314] lr: 1.4978e-03 eta: 0:23:22 time: 0.3463 data_time: 0.0523 memory: 9706 grad_norm: 0.8331 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0172 loss: 0.0172 2022/08/05 19:57:05 - mmengine - INFO - Epoch(train) [227][260/314] lr: 1.4835e-03 eta: 0:23:15 time: 0.3376 data_time: 0.0441 memory: 9706 grad_norm: 0.8275 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0320 loss: 0.0320 2022/08/05 19:57:12 - mmengine - INFO - Epoch(train) [227][280/314] lr: 1.4692e-03 eta: 0:23:08 time: 0.3477 data_time: 0.0453 memory: 9706 grad_norm: 0.8830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0144 loss: 0.0144 2022/08/05 19:57:19 - mmengine - INFO - Epoch(train) [227][300/314] lr: 1.4550e-03 eta: 0:23:02 time: 0.3378 data_time: 0.0469 memory: 9706 grad_norm: 0.9996 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0207 loss: 0.0207 2022/08/05 19:57:23 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:57:23 - mmengine - INFO - Epoch(train) [227][314/314] lr: 1.4451e-03 eta: 0:23:02 time: 0.2886 data_time: 0.0359 memory: 9706 grad_norm: 1.1532 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0215 loss: 0.0215 2022/08/05 19:57:23 - mmengine - INFO - Saving checkpoint at 227 epochs 2022/08/05 19:57:34 - mmengine - INFO - Epoch(train) [228][20/314] lr: 1.4310e-03 eta: 0:22:50 time: 0.4523 data_time: 0.1802 memory: 9706 grad_norm: 0.9174 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0252 loss: 0.0252 2022/08/05 19:57:41 - mmengine - INFO - Epoch(train) [228][40/314] lr: 1.4170e-03 eta: 0:22:43 time: 0.3471 data_time: 0.0488 memory: 9706 grad_norm: 0.9684 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0290 loss: 0.0290 2022/08/05 19:57:48 - mmengine - INFO - Epoch(train) [228][60/314] lr: 1.4030e-03 eta: 0:22:37 time: 0.3520 data_time: 0.0437 memory: 9706 grad_norm: 0.9100 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0323 loss: 0.0323 2022/08/05 19:57:55 - mmengine - INFO - Epoch(train) [228][80/314] lr: 1.3892e-03 eta: 0:22:30 time: 0.3416 data_time: 0.0480 memory: 9706 grad_norm: 0.9898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0329 loss: 0.0329 2022/08/05 19:58:02 - mmengine - INFO - Epoch(train) [228][100/314] lr: 1.3753e-03 eta: 0:22:23 time: 0.3528 data_time: 0.0402 memory: 9706 grad_norm: 0.9766 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0462 loss: 0.0462 2022/08/05 19:58:09 - mmengine - INFO - Epoch(train) [228][120/314] lr: 1.3616e-03 eta: 0:22:16 time: 0.3477 data_time: 0.0584 memory: 9706 grad_norm: 1.0016 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0272 loss: 0.0272 2022/08/05 19:58:16 - mmengine - INFO - Epoch(train) [228][140/314] lr: 1.3479e-03 eta: 0:22:10 time: 0.3404 data_time: 0.0506 memory: 9706 grad_norm: 0.9277 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0249 loss: 0.0249 2022/08/05 19:58:23 - mmengine - INFO - Epoch(train) [228][160/314] lr: 1.3343e-03 eta: 0:22:03 time: 0.3409 data_time: 0.0456 memory: 9706 grad_norm: 0.9179 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0232 loss: 0.0232 2022/08/05 19:58:30 - mmengine - INFO - Epoch(train) [228][180/314] lr: 1.3208e-03 eta: 0:21:56 time: 0.3552 data_time: 0.0422 memory: 9706 grad_norm: 1.1789 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0300 loss: 0.0300 2022/08/05 19:58:37 - mmengine - INFO - Epoch(train) [228][200/314] lr: 1.3073e-03 eta: 0:21:49 time: 0.3659 data_time: 0.0493 memory: 9706 grad_norm: 0.8143 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0290 loss: 0.0290 2022/08/05 19:58:44 - mmengine - INFO - Epoch(train) [228][220/314] lr: 1.2939e-03 eta: 0:21:43 time: 0.3337 data_time: 0.0434 memory: 9706 grad_norm: 0.8186 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0225 loss: 0.0225 2022/08/05 19:58:51 - mmengine - INFO - Epoch(train) [228][240/314] lr: 1.2806e-03 eta: 0:21:36 time: 0.3358 data_time: 0.0482 memory: 9706 grad_norm: 0.9225 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0182 loss: 0.0182 2022/08/05 19:58:58 - mmengine - INFO - Epoch(train) [228][260/314] lr: 1.2673e-03 eta: 0:21:29 time: 0.3794 data_time: 0.0432 memory: 9706 grad_norm: 1.0313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0295 loss: 0.0295 2022/08/05 19:59:05 - mmengine - INFO - Epoch(train) [228][280/314] lr: 1.2541e-03 eta: 0:21:22 time: 0.3287 data_time: 0.0436 memory: 9706 grad_norm: 0.9730 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0270 loss: 0.0270 2022/08/05 19:59:12 - mmengine - INFO - Epoch(train) [228][300/314] lr: 1.2410e-03 eta: 0:21:16 time: 0.3458 data_time: 0.0440 memory: 9706 grad_norm: 0.8572 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0157 loss: 0.0157 2022/08/05 19:59:16 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 19:59:16 - mmengine - INFO - Epoch(train) [228][314/314] lr: 1.2318e-03 eta: 0:21:16 time: 0.2992 data_time: 0.0382 memory: 9706 grad_norm: 0.9150 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0210 loss: 0.0210 2022/08/05 19:59:16 - mmengine - INFO - Saving checkpoint at 228 epochs 2022/08/05 19:59:28 - mmengine - INFO - Epoch(train) [229][20/314] lr: 1.2188e-03 eta: 0:21:04 time: 0.4644 data_time: 0.1766 memory: 9706 grad_norm: 1.0723 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0247 loss: 0.0247 2022/08/05 19:59:35 - mmengine - INFO - Epoch(train) [229][40/314] lr: 1.2059e-03 eta: 0:20:57 time: 0.3406 data_time: 0.0469 memory: 9706 grad_norm: 0.8900 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0143 loss: 0.0143 2022/08/05 19:59:41 - mmengine - INFO - Epoch(train) [229][60/314] lr: 1.1930e-03 eta: 0:20:51 time: 0.3439 data_time: 0.0427 memory: 9706 grad_norm: 0.9729 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0340 loss: 0.0340 2022/08/05 19:59:48 - mmengine - INFO - Epoch(train) [229][80/314] lr: 1.1802e-03 eta: 0:20:44 time: 0.3415 data_time: 0.0510 memory: 9706 grad_norm: 0.9732 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0284 loss: 0.0284 2022/08/05 19:59:55 - mmengine - INFO - Epoch(train) [229][100/314] lr: 1.1674e-03 eta: 0:20:37 time: 0.3467 data_time: 0.0443 memory: 9706 grad_norm: 0.9394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0307 loss: 0.0307 2022/08/05 20:00:02 - mmengine - INFO - Epoch(train) [229][120/314] lr: 1.1548e-03 eta: 0:20:30 time: 0.3426 data_time: 0.0440 memory: 9706 grad_norm: 1.0967 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0245 loss: 0.0245 2022/08/05 20:00:09 - mmengine - INFO - Epoch(train) [229][140/314] lr: 1.1422e-03 eta: 0:20:24 time: 0.3481 data_time: 0.0564 memory: 9706 grad_norm: 0.8706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0256 loss: 0.0256 2022/08/05 20:00:16 - mmengine - INFO - Epoch(train) [229][160/314] lr: 1.1296e-03 eta: 0:20:17 time: 0.3407 data_time: 0.0442 memory: 9706 grad_norm: 1.0163 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0203 loss: 0.0203 2022/08/05 20:00:23 - mmengine - INFO - Epoch(train) [229][180/314] lr: 1.1172e-03 eta: 0:20:10 time: 0.3493 data_time: 0.0535 memory: 9706 grad_norm: 0.9001 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0345 loss: 0.0345 2022/08/05 20:00:30 - mmengine - INFO - Epoch(train) [229][200/314] lr: 1.1048e-03 eta: 0:20:03 time: 0.3399 data_time: 0.0447 memory: 9706 grad_norm: 0.9909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.0519 loss: 0.0519 2022/08/05 20:00:37 - mmengine - INFO - Epoch(train) [229][220/314] lr: 1.0925e-03 eta: 0:19:57 time: 0.3515 data_time: 0.0453 memory: 9706 grad_norm: 0.9155 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0200 loss: 0.0200 2022/08/05 20:00:44 - mmengine - INFO - Epoch(train) [229][240/314] lr: 1.0802e-03 eta: 0:19:50 time: 0.3462 data_time: 0.0466 memory: 9706 grad_norm: 0.9509 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0282 loss: 0.0282 2022/08/05 20:00:51 - mmengine - INFO - Epoch(train) [229][260/314] lr: 1.0680e-03 eta: 0:19:43 time: 0.3433 data_time: 0.0422 memory: 9706 grad_norm: 0.9281 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0545 loss: 0.0545 2022/08/05 20:00:57 - mmengine - INFO - Epoch(train) [229][280/314] lr: 1.0559e-03 eta: 0:19:36 time: 0.3395 data_time: 0.0480 memory: 9706 grad_norm: 0.8999 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0240 loss: 0.0240 2022/08/05 20:01:04 - mmengine - INFO - Epoch(train) [229][300/314] lr: 1.0439e-03 eta: 0:19:30 time: 0.3392 data_time: 0.0438 memory: 9706 grad_norm: 0.9834 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0236 loss: 0.0236 2022/08/05 20:01:08 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:01:08 - mmengine - INFO - Epoch(train) [229][314/314] lr: 1.0355e-03 eta: 0:19:30 time: 0.2956 data_time: 0.0384 memory: 9706 grad_norm: 1.0175 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0263 loss: 0.0263 2022/08/05 20:01:08 - mmengine - INFO - Saving checkpoint at 229 epochs 2022/08/05 20:01:20 - mmengine - INFO - Epoch(train) [230][20/314] lr: 1.0235e-03 eta: 0:19:18 time: 0.4624 data_time: 0.1943 memory: 9706 grad_norm: 0.9154 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0213 loss: 0.0213 2022/08/05 20:01:27 - mmengine - INFO - Epoch(train) [230][40/314] lr: 1.0117e-03 eta: 0:19:11 time: 0.3528 data_time: 0.0407 memory: 9706 grad_norm: 0.8198 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0181 loss: 0.0181 2022/08/05 20:01:34 - mmengine - INFO - Epoch(train) [230][60/314] lr: 9.9987e-04 eta: 0:19:05 time: 0.3437 data_time: 0.0458 memory: 9706 grad_norm: 1.0355 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0467 loss: 0.0467 2022/08/05 20:01:41 - mmengine - INFO - Epoch(train) [230][80/314] lr: 9.8814e-04 eta: 0:18:58 time: 0.3432 data_time: 0.0423 memory: 9706 grad_norm: 1.0410 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0229 loss: 0.0229 2022/08/05 20:01:46 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:01:48 - mmengine - INFO - Epoch(train) [230][100/314] lr: 9.7648e-04 eta: 0:18:51 time: 0.3473 data_time: 0.0447 memory: 9706 grad_norm: 0.7479 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0296 loss: 0.0296 2022/08/05 20:01:55 - mmengine - INFO - Epoch(train) [230][120/314] lr: 9.6489e-04 eta: 0:18:44 time: 0.3413 data_time: 0.0417 memory: 9706 grad_norm: 0.8298 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0201 loss: 0.0201 2022/08/05 20:02:02 - mmengine - INFO - Epoch(train) [230][140/314] lr: 9.5337e-04 eta: 0:18:38 time: 0.3463 data_time: 0.0431 memory: 9706 grad_norm: 0.9040 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0317 loss: 0.0317 2022/08/05 20:02:09 - mmengine - INFO - Epoch(train) [230][160/314] lr: 9.4192e-04 eta: 0:18:31 time: 0.3479 data_time: 0.0489 memory: 9706 grad_norm: 0.9260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0181 loss: 0.0181 2022/08/05 20:02:16 - mmengine - INFO - Epoch(train) [230][180/314] lr: 9.3054e-04 eta: 0:18:24 time: 0.3574 data_time: 0.0594 memory: 9706 grad_norm: 0.9852 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0251 loss: 0.0251 2022/08/05 20:02:23 - mmengine - INFO - Epoch(train) [230][200/314] lr: 9.1923e-04 eta: 0:18:17 time: 0.3439 data_time: 0.0462 memory: 9706 grad_norm: 0.8043 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0306 loss: 0.0306 2022/08/05 20:02:30 - mmengine - INFO - Epoch(train) [230][220/314] lr: 9.0798e-04 eta: 0:18:11 time: 0.3485 data_time: 0.0444 memory: 9706 grad_norm: 0.9294 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0348 loss: 0.0348 2022/08/05 20:02:36 - mmengine - INFO - Epoch(train) [230][240/314] lr: 8.9681e-04 eta: 0:18:04 time: 0.3425 data_time: 0.0422 memory: 9706 grad_norm: 0.9118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0357 loss: 0.0357 2022/08/05 20:02:44 - mmengine - INFO - Epoch(train) [230][260/314] lr: 8.8570e-04 eta: 0:17:57 time: 0.3535 data_time: 0.0407 memory: 9706 grad_norm: 1.0435 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0378 loss: 0.0378 2022/08/05 20:02:50 - mmengine - INFO - Epoch(train) [230][280/314] lr: 8.7466e-04 eta: 0:17:51 time: 0.3452 data_time: 0.0450 memory: 9706 grad_norm: 0.9410 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0216 loss: 0.0216 2022/08/05 20:02:57 - mmengine - INFO - Epoch(train) [230][300/314] lr: 8.6370e-04 eta: 0:17:44 time: 0.3401 data_time: 0.0393 memory: 9706 grad_norm: 0.7441 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0223 loss: 0.0223 2022/08/05 20:03:01 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:03:01 - mmengine - INFO - Epoch(train) [230][314/314] lr: 8.5606e-04 eta: 0:17:44 time: 0.2916 data_time: 0.0352 memory: 9706 grad_norm: 1.1136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0424 loss: 0.0424 2022/08/05 20:03:01 - mmengine - INFO - Saving checkpoint at 230 epochs 2022/08/05 20:03:14 - mmengine - INFO - Epoch(val) [230][20/129] eta: 0:00:54 time: 0.4996 data_time: 0.3223 memory: 1867 2022/08/05 20:03:21 - mmengine - INFO - Epoch(val) [230][40/129] eta: 0:00:27 time: 0.3084 data_time: 0.1272 memory: 1867 2022/08/05 20:03:27 - mmengine - INFO - Epoch(val) [230][60/129] eta: 0:00:23 time: 0.3427 data_time: 0.1605 memory: 1867 2022/08/05 20:03:34 - mmengine - INFO - Epoch(val) [230][80/129] eta: 0:00:15 time: 0.3172 data_time: 0.1401 memory: 1867 2022/08/05 20:03:41 - mmengine - INFO - Epoch(val) [230][100/129] eta: 0:00:10 time: 0.3519 data_time: 0.1689 memory: 1867 2022/08/05 20:03:46 - mmengine - INFO - Epoch(val) [230][120/129] eta: 0:00:02 time: 0.2465 data_time: 0.0917 memory: 1867 2022/08/05 20:03:48 - mmengine - INFO - Epoch(val) [230][129/129] acc/top1: 0.9313 acc/top5: 0.9951 acc/mean1: 0.9312 2022/08/05 20:03:48 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_221.pth is removed 2022/08/05 20:03:50 - mmengine - INFO - The best checkpoint with 0.9313 acc/top1 at 231 epoch is saved to best_acc/top1_epoch_231.pth. 2022/08/05 20:03:59 - mmengine - INFO - Epoch(train) [231][20/314] lr: 8.4521e-04 eta: 0:17:32 time: 0.4573 data_time: 0.1719 memory: 9706 grad_norm: 0.8575 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0186 loss: 0.0186 2022/08/05 20:04:06 - mmengine - INFO - Epoch(train) [231][40/314] lr: 8.3442e-04 eta: 0:17:25 time: 0.3425 data_time: 0.0499 memory: 9706 grad_norm: 0.8929 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0354 loss: 0.0354 2022/08/05 20:04:13 - mmengine - INFO - Epoch(train) [231][60/314] lr: 8.2371e-04 eta: 0:17:19 time: 0.3444 data_time: 0.0558 memory: 9706 grad_norm: 0.9488 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0198 loss: 0.0198 2022/08/05 20:04:20 - mmengine - INFO - Epoch(train) [231][80/314] lr: 8.1306e-04 eta: 0:17:12 time: 0.3460 data_time: 0.0497 memory: 9706 grad_norm: 0.7735 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0193 loss: 0.0193 2022/08/05 20:04:27 - mmengine - INFO - Epoch(train) [231][100/314] lr: 8.0249e-04 eta: 0:17:05 time: 0.3458 data_time: 0.0471 memory: 9706 grad_norm: 0.9185 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0313 loss: 0.0313 2022/08/05 20:04:34 - mmengine - INFO - Epoch(train) [231][120/314] lr: 7.9198e-04 eta: 0:16:58 time: 0.3422 data_time: 0.0506 memory: 9706 grad_norm: 0.8851 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0213 loss: 0.0213 2022/08/05 20:04:41 - mmengine - INFO - Epoch(train) [231][140/314] lr: 7.8154e-04 eta: 0:16:52 time: 0.3471 data_time: 0.0420 memory: 9706 grad_norm: 0.8470 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0149 loss: 0.0149 2022/08/05 20:04:48 - mmengine - INFO - Epoch(train) [231][160/314] lr: 7.7117e-04 eta: 0:16:45 time: 0.3584 data_time: 0.0444 memory: 9706 grad_norm: 0.9683 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0285 loss: 0.0285 2022/08/05 20:04:55 - mmengine - INFO - Epoch(train) [231][180/314] lr: 7.6087e-04 eta: 0:16:38 time: 0.3371 data_time: 0.0425 memory: 9706 grad_norm: 0.7746 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0139 loss: 0.0139 2022/08/05 20:05:01 - mmengine - INFO - Epoch(train) [231][200/314] lr: 7.5064e-04 eta: 0:16:32 time: 0.3426 data_time: 0.0411 memory: 9706 grad_norm: 0.8681 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0239 loss: 0.0239 2022/08/05 20:05:09 - mmengine - INFO - Epoch(train) [231][220/314] lr: 7.4048e-04 eta: 0:16:25 time: 0.3657 data_time: 0.0470 memory: 9706 grad_norm: 0.7914 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0247 loss: 0.0247 2022/08/05 20:05:15 - mmengine - INFO - Epoch(train) [231][240/314] lr: 7.3039e-04 eta: 0:16:18 time: 0.3321 data_time: 0.0435 memory: 9706 grad_norm: 1.1407 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0194 loss: 0.0194 2022/08/05 20:05:22 - mmengine - INFO - Epoch(train) [231][260/314] lr: 7.2036e-04 eta: 0:16:11 time: 0.3463 data_time: 0.0436 memory: 9706 grad_norm: 0.7642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0144 loss: 0.0144 2022/08/05 20:05:30 - mmengine - INFO - Epoch(train) [231][280/314] lr: 7.1041e-04 eta: 0:16:05 time: 0.3568 data_time: 0.0472 memory: 9706 grad_norm: 0.8351 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0242 loss: 0.0242 2022/08/05 20:05:36 - mmengine - INFO - Epoch(train) [231][300/314] lr: 7.0052e-04 eta: 0:15:58 time: 0.3369 data_time: 0.0522 memory: 9706 grad_norm: 0.8607 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0187 loss: 0.0187 2022/08/05 20:05:40 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:05:40 - mmengine - INFO - Epoch(train) [231][314/314] lr: 6.9364e-04 eta: 0:15:58 time: 0.2969 data_time: 0.0496 memory: 9706 grad_norm: 0.8846 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0208 loss: 0.0208 2022/08/05 20:05:40 - mmengine - INFO - Saving checkpoint at 231 epochs 2022/08/05 20:05:52 - mmengine - INFO - Epoch(train) [232][20/314] lr: 6.8388e-04 eta: 0:15:46 time: 0.4724 data_time: 0.1917 memory: 9706 grad_norm: 0.9467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0295 loss: 0.0295 2022/08/05 20:05:59 - mmengine - INFO - Epoch(train) [232][40/314] lr: 6.7418e-04 eta: 0:15:40 time: 0.3411 data_time: 0.0554 memory: 9706 grad_norm: 0.9719 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0357 loss: 0.0357 2022/08/05 20:06:06 - mmengine - INFO - Epoch(train) [232][60/314] lr: 6.6455e-04 eta: 0:15:33 time: 0.3505 data_time: 0.0459 memory: 9706 grad_norm: 0.9272 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0140 loss: 0.0140 2022/08/05 20:06:13 - mmengine - INFO - Epoch(train) [232][80/314] lr: 6.5498e-04 eta: 0:15:26 time: 0.3368 data_time: 0.0455 memory: 9706 grad_norm: 0.9445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0387 loss: 0.0387 2022/08/05 20:06:20 - mmengine - INFO - Epoch(train) [232][100/314] lr: 6.4549e-04 eta: 0:15:19 time: 0.3429 data_time: 0.0423 memory: 9706 grad_norm: 1.1023 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0295 loss: 0.0295 2022/08/05 20:06:26 - mmengine - INFO - Epoch(train) [232][120/314] lr: 6.3607e-04 eta: 0:15:13 time: 0.3412 data_time: 0.0423 memory: 9706 grad_norm: 0.9664 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0258 loss: 0.0258 2022/08/05 20:06:33 - mmengine - INFO - Epoch(train) [232][140/314] lr: 6.2671e-04 eta: 0:15:06 time: 0.3396 data_time: 0.0406 memory: 9706 grad_norm: 0.8573 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0282 loss: 0.0282 2022/08/05 20:06:40 - mmengine - INFO - Epoch(train) [232][160/314] lr: 6.1743e-04 eta: 0:14:59 time: 0.3495 data_time: 0.0481 memory: 9706 grad_norm: 0.9256 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0185 loss: 0.0185 2022/08/05 20:06:47 - mmengine - INFO - Epoch(train) [232][180/314] lr: 6.0821e-04 eta: 0:14:52 time: 0.3485 data_time: 0.0449 memory: 9706 grad_norm: 0.8157 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0148 loss: 0.0148 2022/08/05 20:06:54 - mmengine - INFO - Epoch(train) [232][200/314] lr: 5.9907e-04 eta: 0:14:46 time: 0.3465 data_time: 0.0440 memory: 9706 grad_norm: 0.7160 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0127 loss: 0.0127 2022/08/05 20:07:01 - mmengine - INFO - Epoch(train) [232][220/314] lr: 5.8999e-04 eta: 0:14:39 time: 0.3490 data_time: 0.0400 memory: 9706 grad_norm: 0.9375 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0218 loss: 0.0218 2022/08/05 20:07:08 - mmengine - INFO - Epoch(train) [232][240/314] lr: 5.8098e-04 eta: 0:14:32 time: 0.3529 data_time: 0.0548 memory: 9706 grad_norm: 0.9151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0168 loss: 0.0168 2022/08/05 20:07:15 - mmengine - INFO - Epoch(train) [232][260/314] lr: 5.7204e-04 eta: 0:14:25 time: 0.3448 data_time: 0.0413 memory: 9706 grad_norm: 1.1818 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0262 loss: 0.0262 2022/08/05 20:07:22 - mmengine - INFO - Epoch(train) [232][280/314] lr: 5.6317e-04 eta: 0:14:19 time: 0.3459 data_time: 0.0462 memory: 9706 grad_norm: 0.9397 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0233 loss: 0.0233 2022/08/05 20:07:29 - mmengine - INFO - Epoch(train) [232][300/314] lr: 5.5437e-04 eta: 0:14:12 time: 0.3415 data_time: 0.0526 memory: 9706 grad_norm: 0.9014 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0217 loss: 0.0217 2022/08/05 20:07:33 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:07:33 - mmengine - INFO - Epoch(train) [232][314/314] lr: 5.4825e-04 eta: 0:14:12 time: 0.2892 data_time: 0.0362 memory: 9706 grad_norm: 1.0607 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0275 loss: 0.0275 2022/08/05 20:07:33 - mmengine - INFO - Saving checkpoint at 232 epochs 2022/08/05 20:07:45 - mmengine - INFO - Epoch(train) [233][20/314] lr: 5.3956e-04 eta: 0:14:00 time: 0.4607 data_time: 0.1840 memory: 9706 grad_norm: 0.9242 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0261 loss: 0.0261 2022/08/05 20:07:51 - mmengine - INFO - Epoch(train) [233][40/314] lr: 5.3095e-04 eta: 0:13:54 time: 0.3365 data_time: 0.0449 memory: 9706 grad_norm: 0.7519 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0208 loss: 0.0208 2022/08/05 20:07:58 - mmengine - INFO - Epoch(train) [233][60/314] lr: 5.2240e-04 eta: 0:13:47 time: 0.3443 data_time: 0.0425 memory: 9706 grad_norm: 0.9557 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0221 loss: 0.0221 2022/08/05 20:08:05 - mmengine - INFO - Epoch(train) [233][80/314] lr: 5.1393e-04 eta: 0:13:40 time: 0.3434 data_time: 0.0472 memory: 9706 grad_norm: 0.9511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0135 loss: 0.0135 2022/08/05 20:08:12 - mmengine - INFO - Epoch(train) [233][100/314] lr: 5.0552e-04 eta: 0:13:33 time: 0.3419 data_time: 0.0387 memory: 9706 grad_norm: 1.1147 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0209 loss: 0.0209 2022/08/05 20:08:19 - mmengine - INFO - Epoch(train) [233][120/314] lr: 4.9718e-04 eta: 0:13:27 time: 0.3405 data_time: 0.0458 memory: 9706 grad_norm: 0.6841 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0130 loss: 0.0130 2022/08/05 20:08:26 - mmengine - INFO - Epoch(train) [233][140/314] lr: 4.8891e-04 eta: 0:13:20 time: 0.3444 data_time: 0.0456 memory: 9706 grad_norm: 0.8043 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0132 loss: 0.0132 2022/08/05 20:08:30 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:08:33 - mmengine - INFO - Epoch(train) [233][160/314] lr: 4.8071e-04 eta: 0:13:13 time: 0.3522 data_time: 0.0416 memory: 9706 grad_norm: 0.8009 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0289 loss: 0.0289 2022/08/05 20:08:39 - mmengine - INFO - Epoch(train) [233][180/314] lr: 4.7258e-04 eta: 0:13:06 time: 0.3387 data_time: 0.0423 memory: 9706 grad_norm: 0.9736 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0213 loss: 0.0213 2022/08/05 20:08:46 - mmengine - INFO - Epoch(train) [233][200/314] lr: 4.6452e-04 eta: 0:13:00 time: 0.3415 data_time: 0.0472 memory: 9706 grad_norm: 0.9059 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0205 loss: 0.0205 2022/08/05 20:08:53 - mmengine - INFO - Epoch(train) [233][220/314] lr: 4.5653e-04 eta: 0:12:53 time: 0.3502 data_time: 0.0435 memory: 9706 grad_norm: 0.9819 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0201 loss: 0.0201 2022/08/05 20:09:00 - mmengine - INFO - Epoch(train) [233][240/314] lr: 4.4860e-04 eta: 0:12:46 time: 0.3412 data_time: 0.0435 memory: 9706 grad_norm: 0.9384 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0176 loss: 0.0176 2022/08/05 20:09:07 - mmengine - INFO - Epoch(train) [233][260/314] lr: 4.4075e-04 eta: 0:12:39 time: 0.3498 data_time: 0.0533 memory: 9706 grad_norm: 0.7067 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0228 loss: 0.0228 2022/08/05 20:09:14 - mmengine - INFO - Epoch(train) [233][280/314] lr: 4.3296e-04 eta: 0:12:33 time: 0.3496 data_time: 0.0524 memory: 9706 grad_norm: 0.8811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0150 loss: 0.0150 2022/08/05 20:09:21 - mmengine - INFO - Epoch(train) [233][300/314] lr: 4.2525e-04 eta: 0:12:26 time: 0.3460 data_time: 0.0444 memory: 9706 grad_norm: 1.0529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0237 loss: 0.0237 2022/08/05 20:09:25 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:09:25 - mmengine - INFO - Epoch(train) [233][314/314] lr: 4.1989e-04 eta: 0:12:26 time: 0.2911 data_time: 0.0383 memory: 9706 grad_norm: 1.1159 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0206 loss: 0.0206 2022/08/05 20:09:25 - mmengine - INFO - Saving checkpoint at 233 epochs 2022/08/05 20:09:37 - mmengine - INFO - Epoch(train) [234][20/314] lr: 4.1229e-04 eta: 0:12:14 time: 0.4443 data_time: 0.1699 memory: 9706 grad_norm: 1.0596 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0424 loss: 0.0424 2022/08/05 20:09:44 - mmengine - INFO - Epoch(train) [234][40/314] lr: 4.0476e-04 eta: 0:12:08 time: 0.3456 data_time: 0.0399 memory: 9706 grad_norm: 0.8602 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0206 loss: 0.0206 2022/08/05 20:09:51 - mmengine - INFO - Epoch(train) [234][60/314] lr: 3.9730e-04 eta: 0:12:01 time: 0.3490 data_time: 0.0482 memory: 9706 grad_norm: 0.6565 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0164 loss: 0.0164 2022/08/05 20:09:57 - mmengine - INFO - Epoch(train) [234][80/314] lr: 3.8991e-04 eta: 0:11:54 time: 0.3371 data_time: 0.0415 memory: 9706 grad_norm: 0.9205 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0358 loss: 0.0358 2022/08/05 20:10:04 - mmengine - INFO - Epoch(train) [234][100/314] lr: 3.8259e-04 eta: 0:11:47 time: 0.3493 data_time: 0.0405 memory: 9706 grad_norm: 0.7844 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0200 loss: 0.0200 2022/08/05 20:10:11 - mmengine - INFO - Epoch(train) [234][120/314] lr: 3.7534e-04 eta: 0:11:41 time: 0.3426 data_time: 0.0526 memory: 9706 grad_norm: 0.6811 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0241 loss: 0.0241 2022/08/05 20:10:18 - mmengine - INFO - Epoch(train) [234][140/314] lr: 3.6816e-04 eta: 0:11:34 time: 0.3498 data_time: 0.0466 memory: 9706 grad_norm: 0.7041 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0225 loss: 0.0225 2022/08/05 20:10:25 - mmengine - INFO - Epoch(train) [234][160/314] lr: 3.6104e-04 eta: 0:11:27 time: 0.3469 data_time: 0.0462 memory: 9706 grad_norm: 0.9774 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0168 loss: 0.0168 2022/08/05 20:10:32 - mmengine - INFO - Epoch(train) [234][180/314] lr: 3.5400e-04 eta: 0:11:20 time: 0.3410 data_time: 0.0578 memory: 9706 grad_norm: 0.8672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0118 loss: 0.0118 2022/08/05 20:10:39 - mmengine - INFO - Epoch(train) [234][200/314] lr: 3.4703e-04 eta: 0:11:14 time: 0.3468 data_time: 0.0477 memory: 9706 grad_norm: 0.9194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0247 loss: 0.0247 2022/08/05 20:10:46 - mmengine - INFO - Epoch(train) [234][220/314] lr: 3.4012e-04 eta: 0:11:07 time: 0.3459 data_time: 0.0431 memory: 9706 grad_norm: 0.6539 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0107 loss: 0.0107 2022/08/05 20:10:53 - mmengine - INFO - Epoch(train) [234][240/314] lr: 3.3328e-04 eta: 0:11:00 time: 0.3389 data_time: 0.0456 memory: 9706 grad_norm: 0.7926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0235 loss: 0.0235 2022/08/05 20:10:59 - mmengine - INFO - Epoch(train) [234][260/314] lr: 3.2652e-04 eta: 0:10:53 time: 0.3434 data_time: 0.0451 memory: 9706 grad_norm: 0.8443 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0340 loss: 0.0340 2022/08/05 20:11:06 - mmengine - INFO - Epoch(train) [234][280/314] lr: 3.1982e-04 eta: 0:10:47 time: 0.3415 data_time: 0.0430 memory: 9706 grad_norm: 0.8622 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0314 loss: 0.0314 2022/08/05 20:11:13 - mmengine - INFO - Epoch(train) [234][300/314] lr: 3.1319e-04 eta: 0:10:40 time: 0.3425 data_time: 0.0447 memory: 9706 grad_norm: 0.9123 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0204 loss: 0.0204 2022/08/05 20:11:17 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:11:17 - mmengine - INFO - Epoch(train) [234][314/314] lr: 3.0859e-04 eta: 0:10:40 time: 0.2904 data_time: 0.0352 memory: 9706 grad_norm: 1.0981 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0386 loss: 0.0386 2022/08/05 20:11:17 - mmengine - INFO - Saving checkpoint at 234 epochs 2022/08/05 20:11:29 - mmengine - INFO - Epoch(train) [235][20/314] lr: 3.0208e-04 eta: 0:10:28 time: 0.4596 data_time: 0.1763 memory: 9706 grad_norm: 0.9432 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0173 loss: 0.0173 2022/08/05 20:11:36 - mmengine - INFO - Epoch(train) [235][40/314] lr: 2.9564e-04 eta: 0:10:22 time: 0.3375 data_time: 0.0412 memory: 9706 grad_norm: 0.7645 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0174 loss: 0.0174 2022/08/05 20:11:43 - mmengine - INFO - Epoch(train) [235][60/314] lr: 2.8927e-04 eta: 0:10:15 time: 0.3406 data_time: 0.0452 memory: 9706 grad_norm: 0.7450 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0230 loss: 0.0230 2022/08/05 20:11:50 - mmengine - INFO - Epoch(train) [235][80/314] lr: 2.8297e-04 eta: 0:10:08 time: 0.3526 data_time: 0.0467 memory: 9706 grad_norm: 0.7760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0218 loss: 0.0218 2022/08/05 20:11:56 - mmengine - INFO - Epoch(train) [235][100/314] lr: 2.7673e-04 eta: 0:10:01 time: 0.3433 data_time: 0.0438 memory: 9706 grad_norm: 0.6774 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0245 loss: 0.0245 2022/08/05 20:12:03 - mmengine - INFO - Epoch(train) [235][120/314] lr: 2.7057e-04 eta: 0:09:55 time: 0.3479 data_time: 0.0542 memory: 9706 grad_norm: 0.8872 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0383 loss: 0.0383 2022/08/05 20:12:10 - mmengine - INFO - Epoch(train) [235][140/314] lr: 2.6448e-04 eta: 0:09:48 time: 0.3440 data_time: 0.0422 memory: 9706 grad_norm: 0.9273 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0193 loss: 0.0193 2022/08/05 20:12:17 - mmengine - INFO - Epoch(train) [235][160/314] lr: 2.5845e-04 eta: 0:09:41 time: 0.3448 data_time: 0.0408 memory: 9706 grad_norm: 0.7863 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0160 loss: 0.0160 2022/08/05 20:12:24 - mmengine - INFO - Epoch(train) [235][180/314] lr: 2.5250e-04 eta: 0:09:34 time: 0.3456 data_time: 0.0510 memory: 9706 grad_norm: 0.8961 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0307 loss: 0.0307 2022/08/05 20:12:31 - mmengine - INFO - Epoch(train) [235][200/314] lr: 2.4661e-04 eta: 0:09:28 time: 0.3460 data_time: 0.0453 memory: 9706 grad_norm: 0.7529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0218 loss: 0.0218 2022/08/05 20:12:38 - mmengine - INFO - Epoch(train) [235][220/314] lr: 2.4079e-04 eta: 0:09:21 time: 0.3382 data_time: 0.0484 memory: 9706 grad_norm: 0.8213 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0151 loss: 0.0151 2022/08/05 20:12:45 - mmengine - INFO - Epoch(train) [235][240/314] lr: 2.3504e-04 eta: 0:09:14 time: 0.3441 data_time: 0.0419 memory: 9706 grad_norm: 0.7984 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0174 loss: 0.0174 2022/08/05 20:12:52 - mmengine - INFO - Epoch(train) [235][260/314] lr: 2.2937e-04 eta: 0:09:07 time: 0.3423 data_time: 0.0459 memory: 9706 grad_norm: 0.8618 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0265 loss: 0.0265 2022/08/05 20:12:59 - mmengine - INFO - Epoch(train) [235][280/314] lr: 2.2376e-04 eta: 0:09:01 time: 0.3492 data_time: 0.0452 memory: 9706 grad_norm: 1.0199 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0299 loss: 0.0299 2022/08/05 20:13:05 - mmengine - INFO - Epoch(train) [235][300/314] lr: 2.1822e-04 eta: 0:08:54 time: 0.3427 data_time: 0.0417 memory: 9706 grad_norm: 0.8768 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0282 loss: 0.0282 2022/08/05 20:13:09 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:13:09 - mmengine - INFO - Epoch(train) [235][314/314] lr: 2.1438e-04 eta: 0:08:54 time: 0.3035 data_time: 0.0373 memory: 9706 grad_norm: 0.9058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0127 loss: 0.0127 2022/08/05 20:13:09 - mmengine - INFO - Saving checkpoint at 235 epochs 2022/08/05 20:13:21 - mmengine - INFO - Epoch(train) [236][20/314] lr: 2.0896e-04 eta: 0:08:42 time: 0.4558 data_time: 0.1661 memory: 9706 grad_norm: 0.8509 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0233 loss: 0.0233 2022/08/05 20:13:28 - mmengine - INFO - Epoch(train) [236][40/314] lr: 2.0361e-04 eta: 0:08:36 time: 0.3386 data_time: 0.0451 memory: 9706 grad_norm: 0.8470 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0326 loss: 0.0326 2022/08/05 20:13:35 - mmengine - INFO - Epoch(train) [236][60/314] lr: 1.9832e-04 eta: 0:08:29 time: 0.3542 data_time: 0.0413 memory: 9706 grad_norm: 1.0045 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0229 loss: 0.0229 2022/08/05 20:13:42 - mmengine - INFO - Epoch(train) [236][80/314] lr: 1.9311e-04 eta: 0:08:22 time: 0.3491 data_time: 0.0551 memory: 9706 grad_norm: 0.8186 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0364 loss: 0.0364 2022/08/05 20:13:49 - mmengine - INFO - Epoch(train) [236][100/314] lr: 1.8797e-04 eta: 0:08:15 time: 0.3413 data_time: 0.0434 memory: 9706 grad_norm: 0.8666 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0125 loss: 0.0125 2022/08/05 20:13:56 - mmengine - INFO - Epoch(train) [236][120/314] lr: 1.8289e-04 eta: 0:08:09 time: 0.3448 data_time: 0.0450 memory: 9706 grad_norm: 0.9144 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0157 loss: 0.0157 2022/08/05 20:14:03 - mmengine - INFO - Epoch(train) [236][140/314] lr: 1.7788e-04 eta: 0:08:02 time: 0.3440 data_time: 0.0527 memory: 9706 grad_norm: 0.7241 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0262 loss: 0.0262 2022/08/05 20:14:09 - mmengine - INFO - Epoch(train) [236][160/314] lr: 1.7295e-04 eta: 0:07:55 time: 0.3419 data_time: 0.0518 memory: 9706 grad_norm: 1.0657 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0235 loss: 0.0235 2022/08/05 20:14:16 - mmengine - INFO - Epoch(train) [236][180/314] lr: 1.6808e-04 eta: 0:07:48 time: 0.3428 data_time: 0.0474 memory: 9706 grad_norm: 0.6672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0166 loss: 0.0166 2022/08/05 20:14:23 - mmengine - INFO - Epoch(train) [236][200/314] lr: 1.6328e-04 eta: 0:07:42 time: 0.3526 data_time: 0.0537 memory: 9706 grad_norm: 0.8829 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0163 loss: 0.0163 2022/08/05 20:14:27 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:14:30 - mmengine - INFO - Epoch(train) [236][220/314] lr: 1.5856e-04 eta: 0:07:35 time: 0.3499 data_time: 0.0511 memory: 9706 grad_norm: 1.0570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0260 loss: 0.0260 2022/08/05 20:14:37 - mmengine - INFO - Epoch(train) [236][240/314] lr: 1.5390e-04 eta: 0:07:28 time: 0.3428 data_time: 0.0475 memory: 9706 grad_norm: 0.9945 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0289 loss: 0.0289 2022/08/05 20:14:44 - mmengine - INFO - Epoch(train) [236][260/314] lr: 1.4931e-04 eta: 0:07:22 time: 0.3440 data_time: 0.0454 memory: 9706 grad_norm: 0.8655 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0179 loss: 0.0179 2022/08/05 20:14:51 - mmengine - INFO - Epoch(train) [236][280/314] lr: 1.4479e-04 eta: 0:07:15 time: 0.3522 data_time: 0.0499 memory: 9706 grad_norm: 0.7939 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0236 loss: 0.0236 2022/08/05 20:14:58 - mmengine - INFO - Epoch(train) [236][300/314] lr: 1.4034e-04 eta: 0:07:08 time: 0.3361 data_time: 0.0450 memory: 9706 grad_norm: 0.7965 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0288 loss: 0.0288 2022/08/05 20:15:02 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:15:02 - mmengine - INFO - Epoch(train) [236][314/314] lr: 1.3726e-04 eta: 0:07:08 time: 0.2901 data_time: 0.0372 memory: 9706 grad_norm: 0.8604 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0230 loss: 0.0230 2022/08/05 20:15:02 - mmengine - INFO - Saving checkpoint at 236 epochs 2022/08/05 20:15:14 - mmengine - INFO - Epoch(train) [237][20/314] lr: 1.3293e-04 eta: 0:06:57 time: 0.4632 data_time: 0.1829 memory: 9706 grad_norm: 0.8304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0240 loss: 0.0240 2022/08/05 20:15:21 - mmengine - INFO - Epoch(train) [237][40/314] lr: 1.2867e-04 eta: 0:06:50 time: 0.3443 data_time: 0.0418 memory: 9706 grad_norm: 0.8206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0215 loss: 0.0215 2022/08/05 20:15:28 - mmengine - INFO - Epoch(train) [237][60/314] lr: 1.2448e-04 eta: 0:06:43 time: 0.3486 data_time: 0.0437 memory: 9706 grad_norm: 0.8674 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0169 loss: 0.0169 2022/08/05 20:15:34 - mmengine - INFO - Epoch(train) [237][80/314] lr: 1.2035e-04 eta: 0:06:36 time: 0.3372 data_time: 0.0435 memory: 9706 grad_norm: 0.9750 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0192 loss: 0.0192 2022/08/05 20:15:42 - mmengine - INFO - Epoch(train) [237][100/314] lr: 1.1630e-04 eta: 0:06:30 time: 0.3573 data_time: 0.0417 memory: 9706 grad_norm: 0.8656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0309 loss: 0.0309 2022/08/05 20:15:48 - mmengine - INFO - Epoch(train) [237][120/314] lr: 1.1231e-04 eta: 0:06:23 time: 0.3445 data_time: 0.0424 memory: 9706 grad_norm: 0.8636 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0268 loss: 0.0268 2022/08/05 20:15:55 - mmengine - INFO - Epoch(train) [237][140/314] lr: 1.0840e-04 eta: 0:06:16 time: 0.3434 data_time: 0.0418 memory: 9706 grad_norm: 0.9188 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0113 loss: 0.0113 2022/08/05 20:16:02 - mmengine - INFO - Epoch(train) [237][160/314] lr: 1.0455e-04 eta: 0:06:09 time: 0.3479 data_time: 0.0445 memory: 9706 grad_norm: 0.9928 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0309 loss: 0.0309 2022/08/05 20:16:09 - mmengine - INFO - Epoch(train) [237][180/314] lr: 1.0077e-04 eta: 0:06:03 time: 0.3513 data_time: 0.0444 memory: 9706 grad_norm: 0.8924 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0240 loss: 0.0240 2022/08/05 20:16:16 - mmengine - INFO - Epoch(train) [237][200/314] lr: 9.7066e-05 eta: 0:05:56 time: 0.3410 data_time: 0.0428 memory: 9706 grad_norm: 1.0646 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0152 loss: 0.0152 2022/08/05 20:16:23 - mmengine - INFO - Epoch(train) [237][220/314] lr: 9.3428e-05 eta: 0:05:49 time: 0.3499 data_time: 0.0487 memory: 9706 grad_norm: 0.9558 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0228 loss: 0.0228 2022/08/05 20:16:30 - mmengine - INFO - Epoch(train) [237][240/314] lr: 8.9860e-05 eta: 0:05:42 time: 0.3432 data_time: 0.0447 memory: 9706 grad_norm: 0.9319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0432 loss: 0.0432 2022/08/05 20:16:37 - mmengine - INFO - Epoch(train) [237][260/314] lr: 8.6361e-05 eta: 0:05:36 time: 0.3446 data_time: 0.0456 memory: 9706 grad_norm: 1.0204 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0188 loss: 0.0188 2022/08/05 20:16:44 - mmengine - INFO - Epoch(train) [237][280/314] lr: 8.2931e-05 eta: 0:05:29 time: 0.3445 data_time: 0.0449 memory: 9706 grad_norm: 0.8219 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0127 loss: 0.0127 2022/08/05 20:16:51 - mmengine - INFO - Epoch(train) [237][300/314] lr: 7.9571e-05 eta: 0:05:22 time: 0.3389 data_time: 0.0410 memory: 9706 grad_norm: 0.9077 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0279 loss: 0.0279 2022/08/05 20:16:54 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:16:54 - mmengine - INFO - Epoch(train) [237][314/314] lr: 7.7260e-05 eta: 0:05:22 time: 0.2896 data_time: 0.0357 memory: 9706 grad_norm: 1.0823 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0463 loss: 0.0463 2022/08/05 20:16:54 - mmengine - INFO - Saving checkpoint at 237 epochs 2022/08/05 20:17:07 - mmengine - INFO - Epoch(train) [238][20/314] lr: 7.4018e-05 eta: 0:05:11 time: 0.4665 data_time: 0.1827 memory: 9706 grad_norm: 0.9601 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0147 loss: 0.0147 2022/08/05 20:17:13 - mmengine - INFO - Epoch(train) [238][40/314] lr: 7.0845e-05 eta: 0:05:04 time: 0.3400 data_time: 0.0419 memory: 9706 grad_norm: 0.8007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0139 loss: 0.0139 2022/08/05 20:17:20 - mmengine - INFO - Epoch(train) [238][60/314] lr: 6.7742e-05 eta: 0:04:57 time: 0.3420 data_time: 0.0411 memory: 9706 grad_norm: 0.8136 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0256 loss: 0.0256 2022/08/05 20:17:27 - mmengine - INFO - Epoch(train) [238][80/314] lr: 6.4709e-05 eta: 0:04:50 time: 0.3547 data_time: 0.0506 memory: 9706 grad_norm: 0.9324 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0232 loss: 0.0232 2022/08/05 20:17:34 - mmengine - INFO - Epoch(train) [238][100/314] lr: 6.1745e-05 eta: 0:04:44 time: 0.3483 data_time: 0.0401 memory: 9706 grad_norm: 0.9388 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0211 loss: 0.0211 2022/08/05 20:17:41 - mmengine - INFO - Epoch(train) [238][120/314] lr: 5.8850e-05 eta: 0:04:37 time: 0.3416 data_time: 0.0426 memory: 9706 grad_norm: 0.8658 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0317 loss: 0.0317 2022/08/05 20:17:48 - mmengine - INFO - Epoch(train) [238][140/314] lr: 5.6025e-05 eta: 0:04:30 time: 0.3413 data_time: 0.0466 memory: 9706 grad_norm: 0.8747 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0238 loss: 0.0238 2022/08/05 20:17:55 - mmengine - INFO - Epoch(train) [238][160/314] lr: 5.3269e-05 eta: 0:04:23 time: 0.3592 data_time: 0.0530 memory: 9706 grad_norm: 0.9946 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0398 loss: 0.0398 2022/08/05 20:18:02 - mmengine - INFO - Epoch(train) [238][180/314] lr: 5.0583e-05 eta: 0:04:17 time: 0.3409 data_time: 0.0478 memory: 9706 grad_norm: 0.8906 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0190 loss: 0.0190 2022/08/05 20:18:09 - mmengine - INFO - Epoch(train) [238][200/314] lr: 4.7966e-05 eta: 0:04:10 time: 0.3459 data_time: 0.0464 memory: 9706 grad_norm: 0.7723 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0163 loss: 0.0163 2022/08/05 20:18:16 - mmengine - INFO - Epoch(train) [238][220/314] lr: 4.5418e-05 eta: 0:04:03 time: 0.3415 data_time: 0.0502 memory: 9706 grad_norm: 0.9393 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0176 loss: 0.0176 2022/08/05 20:18:23 - mmengine - INFO - Epoch(train) [238][240/314] lr: 4.2941e-05 eta: 0:03:56 time: 0.3392 data_time: 0.0430 memory: 9706 grad_norm: 0.8513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0167 loss: 0.0167 2022/08/05 20:18:29 - mmengine - INFO - Epoch(train) [238][260/314] lr: 4.0532e-05 eta: 0:03:50 time: 0.3472 data_time: 0.0410 memory: 9706 grad_norm: 1.0462 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0142 loss: 0.0142 2022/08/05 20:18:36 - mmengine - INFO - Epoch(train) [238][280/314] lr: 3.8193e-05 eta: 0:03:43 time: 0.3399 data_time: 0.0417 memory: 9706 grad_norm: 0.8619 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0182 loss: 0.0182 2022/08/05 20:18:43 - mmengine - INFO - Epoch(train) [238][300/314] lr: 3.5924e-05 eta: 0:03:36 time: 0.3478 data_time: 0.0380 memory: 9706 grad_norm: 0.9983 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0329 loss: 0.0329 2022/08/05 20:18:47 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:18:47 - mmengine - INFO - Epoch(train) [238][314/314] lr: 3.4377e-05 eta: 0:03:36 time: 0.2930 data_time: 0.0346 memory: 9706 grad_norm: 0.9614 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0413 loss: 0.0413 2022/08/05 20:18:47 - mmengine - INFO - Saving checkpoint at 238 epochs 2022/08/05 20:18:59 - mmengine - INFO - Epoch(train) [239][20/314] lr: 3.2225e-05 eta: 0:03:25 time: 0.4387 data_time: 0.1550 memory: 9706 grad_norm: 0.8688 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0216 loss: 0.0216 2022/08/05 20:19:06 - mmengine - INFO - Epoch(train) [239][40/314] lr: 3.0144e-05 eta: 0:03:18 time: 0.3433 data_time: 0.0530 memory: 9706 grad_norm: 0.8516 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0262 loss: 0.0262 2022/08/05 20:19:12 - mmengine - INFO - Epoch(train) [239][60/314] lr: 2.8131e-05 eta: 0:03:11 time: 0.3452 data_time: 0.0413 memory: 9706 grad_norm: 0.8033 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0148 loss: 0.0148 2022/08/05 20:19:20 - mmengine - INFO - Epoch(train) [239][80/314] lr: 2.6189e-05 eta: 0:03:04 time: 0.3500 data_time: 0.0481 memory: 9706 grad_norm: 0.7705 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0190 loss: 0.0190 2022/08/05 20:19:26 - mmengine - INFO - Epoch(train) [239][100/314] lr: 2.4315e-05 eta: 0:02:58 time: 0.3360 data_time: 0.0439 memory: 9706 grad_norm: 0.9669 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0167 loss: 0.0167 2022/08/05 20:19:33 - mmengine - INFO - Epoch(train) [239][120/314] lr: 2.2512e-05 eta: 0:02:51 time: 0.3566 data_time: 0.0480 memory: 9706 grad_norm: 0.8881 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0437 loss: 0.0437 2022/08/05 20:19:40 - mmengine - INFO - Epoch(train) [239][140/314] lr: 2.0777e-05 eta: 0:02:44 time: 0.3402 data_time: 0.0416 memory: 9706 grad_norm: 0.7587 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0129 loss: 0.0129 2022/08/05 20:19:47 - mmengine - INFO - Epoch(train) [239][160/314] lr: 1.9113e-05 eta: 0:02:37 time: 0.3433 data_time: 0.0427 memory: 9706 grad_norm: 0.7756 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0218 loss: 0.0218 2022/08/05 20:19:54 - mmengine - INFO - Epoch(train) [239][180/314] lr: 1.7517e-05 eta: 0:02:31 time: 0.3503 data_time: 0.0437 memory: 9706 grad_norm: 0.9768 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0411 loss: 0.0411 2022/08/05 20:20:01 - mmengine - INFO - Epoch(train) [239][200/314] lr: 1.5992e-05 eta: 0:02:24 time: 0.3419 data_time: 0.0486 memory: 9706 grad_norm: 0.9276 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0188 loss: 0.0188 2022/08/05 20:20:08 - mmengine - INFO - Epoch(train) [239][220/314] lr: 1.4535e-05 eta: 0:02:17 time: 0.3441 data_time: 0.0467 memory: 9706 grad_norm: 0.8592 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0264 loss: 0.0264 2022/08/05 20:20:15 - mmengine - INFO - Epoch(train) [239][240/314] lr: 1.3149e-05 eta: 0:02:10 time: 0.3489 data_time: 0.0433 memory: 9706 grad_norm: 0.8004 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0312 loss: 0.0312 2022/08/05 20:20:22 - mmengine - INFO - Epoch(train) [239][260/314] lr: 1.1831e-05 eta: 0:02:04 time: 0.3422 data_time: 0.0518 memory: 9706 grad_norm: 0.9195 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0362 loss: 0.0362 2022/08/05 20:20:24 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:20:28 - mmengine - INFO - Epoch(train) [239][280/314] lr: 1.0584e-05 eta: 0:01:57 time: 0.3427 data_time: 0.0468 memory: 9706 grad_norm: 0.8403 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0164 loss: 0.0164 2022/08/05 20:20:36 - mmengine - INFO - Epoch(train) [239][300/314] lr: 9.4053e-06 eta: 0:01:50 time: 0.3537 data_time: 0.0458 memory: 9706 grad_norm: 0.7919 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0139 loss: 0.0139 2022/08/05 20:20:39 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:20:39 - mmengine - INFO - Epoch(train) [239][314/314] lr: 8.6219e-06 eta: 0:01:50 time: 0.3064 data_time: 0.0386 memory: 9706 grad_norm: 0.9981 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0576 loss: 0.0576 2022/08/05 20:20:39 - mmengine - INFO - Saving checkpoint at 239 epochs 2022/08/05 20:20:51 - mmengine - INFO - Epoch(train) [240][20/314] lr: 7.5618e-06 eta: 0:01:39 time: 0.4660 data_time: 0.1769 memory: 9706 grad_norm: 0.9625 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0342 loss: 0.0342 2022/08/05 20:20:58 - mmengine - INFO - Epoch(train) [240][40/314] lr: 6.5713e-06 eta: 0:01:32 time: 0.3335 data_time: 0.0399 memory: 9706 grad_norm: 0.7702 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0249 loss: 0.0249 2022/08/05 20:21:05 - mmengine - INFO - Epoch(train) [240][60/314] lr: 5.6502e-06 eta: 0:01:25 time: 0.3559 data_time: 0.0431 memory: 9706 grad_norm: 0.9064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0137 loss: 0.0137 2022/08/05 20:21:12 - mmengine - INFO - Epoch(train) [240][80/314] lr: 4.7987e-06 eta: 0:01:18 time: 0.3445 data_time: 0.0413 memory: 9706 grad_norm: 0.6996 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0268 loss: 0.0268 2022/08/05 20:21:19 - mmengine - INFO - Epoch(train) [240][100/314] lr: 4.0166e-06 eta: 0:01:12 time: 0.3439 data_time: 0.0476 memory: 9706 grad_norm: 0.7896 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0247 loss: 0.0247 2022/08/05 20:21:26 - mmengine - INFO - Epoch(train) [240][120/314] lr: 3.3041e-06 eta: 0:01:05 time: 0.3493 data_time: 0.0513 memory: 9706 grad_norm: 0.8481 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0168 loss: 0.0168 2022/08/05 20:21:33 - mmengine - INFO - Epoch(train) [240][140/314] lr: 2.6611e-06 eta: 0:00:58 time: 0.3402 data_time: 0.0479 memory: 9706 grad_norm: 0.8338 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0258 loss: 0.0258 2022/08/05 20:21:40 - mmengine - INFO - Epoch(train) [240][160/314] lr: 2.0876e-06 eta: 0:00:51 time: 0.3513 data_time: 0.0439 memory: 9706 grad_norm: 0.7782 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0143 loss: 0.0143 2022/08/05 20:21:46 - mmengine - INFO - Epoch(train) [240][180/314] lr: 1.5836e-06 eta: 0:00:45 time: 0.3382 data_time: 0.0453 memory: 9706 grad_norm: 0.9632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0256 loss: 0.0256 2022/08/05 20:21:53 - mmengine - INFO - Epoch(train) [240][200/314] lr: 1.1492e-06 eta: 0:00:38 time: 0.3488 data_time: 0.0540 memory: 9706 grad_norm: 0.7971 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.0466 loss: 0.0466 2022/08/05 20:22:01 - mmengine - INFO - Epoch(train) [240][220/314] lr: 7.8421e-07 eta: 0:00:31 time: 0.3615 data_time: 0.0378 memory: 9706 grad_norm: 1.1867 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0205 loss: 0.0205 2022/08/05 20:22:08 - mmengine - INFO - Epoch(train) [240][240/314] lr: 4.8878e-07 eta: 0:00:24 time: 0.3463 data_time: 0.0497 memory: 9706 grad_norm: 0.9813 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0260 loss: 0.0260 2022/08/05 20:22:14 - mmengine - INFO - Epoch(train) [240][260/314] lr: 2.6285e-07 eta: 0:00:18 time: 0.3398 data_time: 0.0399 memory: 9706 grad_norm: 0.9153 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0179 loss: 0.0179 2022/08/05 20:22:21 - mmengine - INFO - Epoch(train) [240][280/314] lr: 1.0644e-07 eta: 0:00:11 time: 0.3436 data_time: 0.0495 memory: 9706 grad_norm: 0.7011 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0140 loss: 0.0140 2022/08/05 20:22:28 - mmengine - INFO - Epoch(train) [240][300/314] lr: 1.9551e-08 eta: 0:00:04 time: 0.3464 data_time: 0.0411 memory: 9706 grad_norm: 0.9873 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0237 loss: 0.0237 2022/08/05 20:22:32 - mmengine - INFO - Exp name: slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb_20220805_123439 2022/08/05 20:22:32 - mmengine - INFO - Epoch(train) [240][314/314] lr: 8.6894e-11 eta: 0:00:04 time: 0.2907 data_time: 0.0362 memory: 9706 grad_norm: 0.8609 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.0203 loss: 0.0203 2022/08/05 20:22:32 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/05 20:22:45 - mmengine - INFO - Epoch(val) [240][20/129] eta: 0:00:52 time: 0.4782 data_time: 0.2995 memory: 1867 2022/08/05 20:22:51 - mmengine - INFO - Epoch(val) [240][40/129] eta: 0:00:27 time: 0.3087 data_time: 0.1333 memory: 1867 2022/08/05 20:22:58 - mmengine - INFO - Epoch(val) [240][60/129] eta: 0:00:23 time: 0.3465 data_time: 0.1700 memory: 1867 2022/08/05 20:23:04 - mmengine - INFO - Epoch(val) [240][80/129] eta: 0:00:15 time: 0.3250 data_time: 0.1399 memory: 1867 2022/08/05 20:23:11 - mmengine - INFO - Epoch(val) [240][100/129] eta: 0:00:09 time: 0.3345 data_time: 0.1484 memory: 1867 2022/08/05 20:23:16 - mmengine - INFO - Epoch(val) [240][120/129] eta: 0:00:02 time: 0.2690 data_time: 0.1070 memory: 1867 2022/08/05 20:23:18 - mmengine - INFO - Epoch(val) [240][129/129] acc/top1: 0.9315 acc/top5: 0.9951 acc/mean1: 0.9314 2022/08/05 20:23:18 - mmengine - INFO - The previous best checkpoint /mnt/lustre/daiwenxun/X/mmaction2/work_dirs/slowonly_r50_u48_240e_8xb16_ntu60_xsub_limb/best_acc/top1_epoch_231.pth is removed 2022/08/05 20:23:21 - mmengine - INFO - The best checkpoint with 0.9315 acc/top1 at 241 epoch is saved to best_acc/top1_epoch_241.pth.